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EMPLOYMENT AND EARNINGS
U.S. Department of LaborBureau of Labor StatisticsNovember 1996
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Monthly Household Data
Page
Historical
A-l. Employment status of the civilian noninstitutional population 16 years and over, 1962 to date 5
A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1985todate 6
Seasonally Adjusted Data
Employment StatusA-3. Employment status of the civilian noninstitutional population by sex and age 7A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin 8A-5. Employed and unemployed full- and part-time workers by sex and age 10
Characteristics of the Employed
A-6. Employed persons by marital status, occupation, class of worker, and part-time status 11A-7. Employed persons by age and sex 12
Characteristics of the Unemployed
A-8. Unemployed persons by age and sex 12A-9. Unemployment rates by age and sex 13
A-10. Unemployment rates by occupation, industry, and selected demographic characteristics 14A-ll. Unemployed persons by reason for unemployment 15A-12. Unemployed persons by duration of unemployment 15
Not Seasonally Adjusted Data
Employment Status
A-13. Employment status of the civilian noninstitutional population by age, sex, and race 16A-14. Employment status of the civilian noninstitutional population by race, sex, and age 19A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age
by school enrollment, educational attainment, sex, race, and Hispanic origin 20A-16. Employed and unemployed full- and part-time workers by age, sex, and race 22
Characteristics of the Employed
A-17. Employed persons by occupation, sex, and age 23A-18. Employed persons by occupation, race, and sex 24A-19. Employed persons by industry and occupation 25A-20. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker 26A-21. Persons at work in agriculture and nonagricultural industries by hours of work 27A-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 27A-23. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status 28A-24. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status .. 29A-25. Persons at work in nonfarm occupations by sex and usual full- or part-time status 30
Characteristics of the Unemployed
A-26. Unemployed persons by marital status, race, age, and sex 31A-27. Unemployed persons by occupation and sex 32A-28. Unemployed persons by industry and sex 33A-29. Unemployed persons by reason for unemployment, sex, age, and race 34A-30. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment 35A-31. Unemployed persons, total and full-time workers, by duration of unemployment 35A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment 36A-33. Unemployed persons by occupation, industry, and duration of unemployment 37
Persons Not in the Labor Force
A-34. Persons not in the labor force by desire and availability for work, age, and sex 37
Multiple Jobholders
A-35. Multiple jobholders by selected demographic and economic characteristics 38
Vietnam-era Veterans and Nonveterans
A-36. Employment status of male Vietnam-era veterans and nonveterans by age 38
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Monthly Establishment Data
Page
HistoricalB-l. Employees on nonfarm payrolls by major industry, 1946 to date 39B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by
major industry, 1964 to date 40
Seasonally Adjusted Data
Employment
National
B-3. Employees on nonfarm payrolls by major industry and selected component groups 43B-4. Women employees on nonfarm payrolls by major industry and manufacturing group 45B-5. Production or nonsupervisory workers on private nonfarm payrolls by major
industry and manufacturing group 46
B-6. Diffusion indexes of employment change 47
States
B-7. Employees on nonfarm payrolls by State and major industry 48
Hours and Earnings
National
B-8. Average weekly hours of production or nonsupervisory workers on private nonfarm payrolls bymajor industry and manufacturing group 56
B-9. Indexes of aggregate weekly hours of production or nonsupervisory workerson private nonfarm payrolls by major industry and manufacturing group 57
B-10. Hours of wage and salary workers on nonfarm payrolls by major industry 58B-11. Average hourly and weekly earnings of production or nonsupervisory workers on
private nonfarm payrolls by major industry 59
Not Seasonally Adjusted Data
Employment
National
B-12. Employees on nonfarm payrolls by detailed industry 60
B-l3. Women employees on nonfarm payrolls by major industry and manufacturing group 72
States and Areas
B-14. Employees on nonfarm payrolls in States and selected areas by major industry 73
Hours and Earnings
NationalB-15. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by
detailed industry 92B-l5a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles
(SIC 3761) manufacturing 112B-16. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls 113B-l7. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry, in current and constant (1982) dollars 114States and Areas
B-l 8. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas 115
Monthly Regional, State, and Area Labor Force DataSeasonally Adjusted Data
C-l. Employment status of the civilian population for census regions and divisions 119C-2. Labor force status by State 121
Not Seasonally Adjusted Data
C-3. Labor force status by State and selected metropolitan areas 126
iii
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Explanatory Notes and Estimates of Error
Page Page
Introduction 133Relation between the household and establishment series 133
Comparability of household data with other series 134Comparability of payroll employment data with
other series 134
Household data 135Collection and coverage 135Concepts and definitions 135Historical comparability 138
Changes in concepts and methods 138Noncomparability of labor force levels 139Changes in the occupational and industrial
classification systems 141Sampling 141
Selection of sample areas 142Selection of sample households 142Rotation of sample 143CPS sample, 1947 to present 143
Estimating methods 144Noninterview adjustment 144Ratio estimates 144
First stage 144Second stage 144
Composite estimation procedure 144Rounding of estimates 145Reliability of the estimates 145
Nonsampling error 145Sampling error (Revised effective Jan. 1996) 145
Tables 1-B through 1-H 146
Establishment data 153Collection 153Concepts 153
Establishment data—ContinuedEstimating methods 156
Benchmarks 156Monthly estimation 156
Stratification 156Link relative technique 156Bias adjustment 156Summary of methods table 157
The sample 158Design 158Coverage 159Reliability 159
Measures of error tables 159Benchmark revision as a measure of survey error 159Estimated standard errors for employment, hours,and earnings 160
Standard errors for differences between industriesand times 160
Noneconomic code changes 160Revisions between preliminary and final data 163
Statistics for States and areas 163
Region, State, and area labor force data 166Federal-State cooperative program 166Estimating methods 166
Estimates for States 166Current monthly estimates 166Benchmark correction procedures 166
Estimates for sub-State areas 167Preliminary estimate:
Employment 167Unemployment 167
Sub-State adjustment for additivity 167Benchmark correction 167
Seasonal adjustment 168
IV
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Employment and UnemploymentDevelopments, October 1996
Nonfarm payroll employment increased in October, andunemployment was unchanged. Payroll employment rose by210,000, with the largest gains occurring in services and re-tail trade. Manufacturing employment was about unchanged,following a large decline in September. The unemploymentrate was 5.2 percent in October, in line with both the Augustand September figures.
UnemploymentAbout 6.9 million persons were unemployed in October,
and the unemployment rate was 5.2 percent. Both measureswere unchanged from September. Among the major workergroups, unemployment rates were essentially unchanged foradult men (4.3 percent), adult women (4.7 percent), teenag-ers (16.1 percent), whites (4.4 percent), blacks (10.8 percent),and Hispanics (8.0 percent). (See tables A-3 and A-4.)
Total employment and the labor forceTotal employment was 127.6 million in October, little dif-
ferent from the September level. The employment-popula-tion ratio—the proportion of the population 16 years and overthat was employed—was essentially unchanged in Octoberat 63.4 percent, but was half a percentage point higher than ayear earlier. (See table A-3.)
The number of persons who held more than one job was8.4 million (not seasonally adjusted) in October. These mul-tiple jobholders comprised 6.5 percent of the total employed.(See table A-35.)
The civilian labor force, at 134.6 million in October, waslittle different from the previous month. Since October 1995,the labor force has grown by 2.1 million. (See table A-3.)
Persons not in the labor forceAbout 1.5 million persons (not seasonally adjusted) were
marginally attached to the labor force in October—that is,they wanted and were available for work but had stoppedlooking for jobs sometime in the prior 12 months. Of thistotal, 374,000 were discouraged workers—persons who werenot looking for work specifically because they believed nojobs were available for them. (See table A-34.)
Industry payroll employmentTotal nonfarm payroll employment rose by 210,000 in
October to 120.2 million, after seasonal adjustment, follow-ing a small decline in September. The increase was about in
line with the average monthly gain so far this year. Em-ployment in the private sector rose by 250,000 in October,following a very small gain in September. The Octoberadvance was well above this year's monthly average of194,000. The October increase was concentrated in theservices and retail trade industries. (See table B-3.)
The services industry added 119,000 jobs in October, thelargest gain since May. Amusement and recreation em-ployment rose by 38,000; because of weaker-than-usualsummer hiring this year, October layoffs were relativelylight, resulting in a large gain, after seasonal adjustment.There was an increase of 21,000 jobs in private educationalservices, offsetting a seasonally adjusted decline in Septem-ber. Health services employment was strong in October, asit had been in September; hospitals have added 20,000 jobssince August. Business services continued to show weak-ness in October; computer and data processing servicesadded 14,000 jobs over the month, but employment in per-sonnel supply services fell by a like amount.
Following little growth in August and September, retailtrade added 62,000 jobs in October, with gains fairly wide-spread. Employment rose markedly in food stores (19,000)and department stores (17,000), following losses in the priormonth. Wholesale trade added 19,000 jobs; the increasewas heavily concentrated in the nondurable goods distribu-tion component.
Employment in both finance and real estate rose sharplyover the month. Within finance, job growth was strong incommercial banks. Seasonal declines in real estate weresmaller than usual in October. As a result, the industryadded 8,000 jobs on a seasonally adjusted basis.
Employment in transportation increased by 10,000, re-versing a similar decline in the previous month. A job gainof 9,000 in air transportation offset a decline in truckingand warehousing, which has shown a net decline of 22,000jobs in the past 4 months.
Government employment fell by 40,000 in October, andhas declined by 107,000 over the past 2 months. Thesedeclines partially reversed a combined increase in July andAugust of 160,000. The fluctuations in government em-ployment are largely due to changing seasonal hiring pat-terns in State and local education. Federal employmentcontinued its long-term downward trend.
Manufacturing employment was about unchanged inOctober, following a substantial decline in September. Job
1
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losses continued in motor vehicles and equipment. Em-ployment also continued to decline in electronic equipment,where losses have totaled 10,000 over the past 3 months.Over the same period, apparel lost 18,000 jobs. These de-clines were offset by increases in several industries. Indus-trial machinery recovered half of the jobs lost in Septem-ber, but still shows no net gain for 1996. An increase of6,000 jobs in aircraft in October primarily reflected the re-turn of workers from a strike. Lumber, printing and pub-lishing, and chemicals also added jobs in October; all ofthese industries have had fluctuating movements over thepast several months.
Construction employment increased by 10,000 in Octo-ber. Gains have averaged 9,000 a month since July, com-pared with an average monthly gain of about 29,000 dur-ing the first 7 months of this year.
Weekly hoursThe average workweek for production or nonsupervisory
workers on private nonfarm payrolls declined by 0.4 hour inOctober to 34.3 hours, seasonally adjusted, nearly reversingincreases of the prior 2 months. The manufacturing work-week fell by 0.2 hour, to 41.6 hours, and factory overtimewas unchanged at 4.5 hours. (See table B-8.)
The index of aggregate weekly hours of private produc-tion or nonsupervisory workers on nonfarm payrolls decreasedby 0.9 percent, on a seasonally adjusted basis, to 136.8(1982=100) in October, as the decline in the average work-week more than offset the employment increase. The manu-facturing index fell by 0.4 percent to 105.7. (See table B-9.)
Hourly and weekly earningsAverage hourly earnings of private production or
nonsupervisory workers on nonfarm payrolls were unchangedin October at $11.91 (seasonally adjusted) following a gainof 10 cents over the prior 2 months. Average weekly earn-ings decreased by 1.2 percent. Over the past year, averagehourly earnings rose by 3.1 percent, and average weekly earn-ings rose by 2.5 percent. (See table B- l l . )
Revisions in Establishment-base Series
Effective with the publication of November 1996 estimates, BLS will introduce revised seasonaladjustment factors for the establishment survey data for November 1996 through April 1997. Factorsfor September and October 1996 also will be revised. These factors will be available on November 29,1 week prior to the release of the November estimates, on the INTERNET (http://stats.bls.gov.80/ceshome.htm), and will be published in the December 1996 issue of Employment and Earnings.
Also, effective with the release of November estimates, BLS will resume publication of its averagehourly and weekly earnings series (table B-15) for March 1995 forward for the following manufactur-ing industries: Engines and turbines (SIC 351), turbines and turbine generator sets (SIC 3511),household appliances (SIC 363), household refrigerators and freezers (SIC 3632), aircraft and parts(SIC 372), and aircraft engines and engine parts (SIC 3724). In addition, corrections will be pub-lished for average hours and average overtime hours for these industries.
BLS discovered that data for some establishments in these industries were not used in the estimatesfor several months in 1995 due to problems associated with the conversion to the Electronic DataInterchange (EDI) reporting system.
These series will be recalculated from March 1995 forward to incorporate the omitted data and willbe available on the INTERNET (http://stats.bls.gov:80/ceshome.htm) on December 6. Historical se-ries also will be published in the December 1996 issue of this publication. For additional information,contact the Division of Monthly Industry Employment Statistics at (202) 606-6555.
Scheduled Release Dates
Employment and unemployment data are scheduled for initial release on thefollowing dates:
Reference month
November
December
January
Release date
December 6
January 10
February 7
Reference month
February
March
April
Release date
March 7
April 4
May 2
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Summary table A. Major labor force status categories, seasonally adjusted
(Numbers in thousands)
Category1995 1996
Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
Labor force status
Civilian noninstitutional populationCivilian labor force
Percent of populationEmployed
Percent of populationUnemployed
Not in labor force
All workersMen, 20 years and overWomen, 20 years and overBoth sexes, 16 to 19 yearsWhiteBlackHispanic origin
199,192132,473
66.5125,244
62.97,229
66,719
199,355132,471
66.4125,062
62.77,409
66,884
199,508132,352
66.3124,981
62.67,371
67,156
199,634132,903
66.6125,226
62.77,677
66,730
199,773133,018 133,655 133,361
66.6125,663
62.97,355
66,754
199,921
66.9126,151
63.17,504
66,266
200,101
66.6126,095
63.07,266
66,741
200,278 200,459 200,641133,910 133,669 134,181
66.9126,462
63.17,448
66,368
66.7126,610
63.27,060
66,790
200,847 201,061
66.9126,884
63.27,297
66,460
133,88566.7
127,05563.36,830
134,34066.8
127,36863.3
6,97166,721
201,273134,574
66.9127,627
63.46,948
Unemployment rates
5.54.55.0
17.14.8
10.09.3
5.64.94.817.85.09.69.3
5.64.84.718.04.910.29.3
5.84.95.1
18.25.010.69.2
5.54.94.816.64.910.39.7
5.65.04.817.54.811.110.0
5.44.84.716.74.710.59.7
5.64.85.016.44.910.29.2
5.34.64.615.94.610.18.8
5.44.74.916.44.710.59.0
5.14.24.617.24.410.58.7
5.24.54.515.64.510.58.2
5.24.34.7
16.14.4
10.88.0
Summary table B. Employment, hours, and earnings of production or nonsupervisory workers on nonfarm payrolls,seasonally adjusted
(Numbers in thousands)
IndustryOct. Nov. Dec.
1996
Jan. Feb. Apr. May June July Aug. Sept.* Oct.P
Employment
TotalTotal private
Goods-producing industriesMining
ManufacturingService-producing industries
Transportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estate .ServicesGovernment
TotalTotal private
Goods-producing industriesMiningConstructionManufacturing
Service-producing industriesTransportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estate .ServicesGovernment
Total privateManufacturing
Overtime
Total privateManufacturing
Average hourly earnings, total private:Current dollarsConstant (1982) dollars2
Average weekly earnings, total private
117,74998,41024,151
5735,200
18,37893,598
6,2126,465
21,2636,859
33,46019,339
126112-25
-113
-37151
18145
178314
34.541.4
4.3
134.3106.2
$11.557.42
398.48
117,89998,56124,133
5695,211
18,35393,766
6,2336,478
21,3006,871
33,54619,338
118,13698,76924,160
5705,223
18,36793,976
6,2496,498
21,3346,887
33,66119,347
118,07098,73424,112
5695,234
18,30993,958
6,2546,512
21,2686,894
33,69419,336
118,57999,21424,254
5735,349
18,33294,3256,2706,529
21,3406,919
33,90219,365
118,750
24,196574
5,34116,28194,554
6,2926,548
21,3506,931
34,03919,394
118,92299,52724,209
5735,353
18,28394,713
6,2946,550
21,4156,942
34,11719,395
119,33299,87324,263
5765,384
18,30395,069
6,3096,567
21,4856,964
34,28519,459
119,537100,09124,274
5755,401
18,29895,263
6,3296,575
21,5686,967
34,37819,446
119,772100,28824,264
5705,427
18,26795,5086,3336,585
21,6716.987
34,44819,484
120,052100,44624,298
5705,437
18,29195,7546,3426,603
21,6726,999
34,53219,606
120,017100,47824,245
5685,445
18,23295,7726,3306,613
21,6997,003
34,58819,539
Over-the-month change
Hours of work1
Indexes of aggregate weekly hours (1982=100)1
134.3106.1
134.3105.6
131.7102.0
135.5105.9
135.5105.2
135.2105.7
135.3106.2
137.7106.5
136.1105.8
136.9106.3
138.1106.1
Earnings1
$11.597.44
398.70
$11.617.44
398.22
$11.627.41
392.76
$11.657.42
401.93
$11.687.40
402.96
$11.727.40
402.00
$11.747.39
401.51
$11.837.44
410.50
$11.817.41
403.90
$11.877.45
408.33
$11.917.45
413.28
120,227100,72824,262
5695,455
18.23895,965
6,3376,632
21,7617,029
34,70719,499
150151-18-411-251682113371286-1
2372282711214
210162034161159
-66-55-48-111-58-18514-66733-11
5094801424
115233671617722520829
171142-581-8-512292219101213729
17217113-1122
159226511781
41034654331203561517702216864
20521811-117-519420883393-13
235197-10-526-31245410103207038
280158340102424691811284122
-3532-53-28
-5916-121027456-67
210250
171
106
1937
196226
119-40
34.4
41.54.3
34.3
41.24.2
33.8
40.04.1
34.541.4
4.3
34.541.3
4.3
34.341.5
4.6
34.241.7
4.6
34.741.8
4.6
34.241.64.4
34.441.7
4.5
34.741.84.5
34.341.6
4.5
136.8105.7
$11.91N.A.
$408.51
1 Data relate to private production or nonsupervisory workers. N.A. = not available.2 The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) p = preliminary,
is used to deflate these series.
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Chart 1. Nonfarm payroll employment, seasonally adjusted, 1992-96
Thousands122,000
Thousands122,000
1992 1993 1994 1995 1996
Chart 2. Unemployment rate, seasonally adjusted, 1992-96
1992 1993 1994 1995 1996
NOTE: Beginning in 1994, household data reflect the introduction of a major redesign of theCurrent Population Survey questionnaire and collection methodology and are not directlycomparable with data for prior years. Moreover, beginning in 1990, these data reflect 1990census-based population controls, adjusted for the estimated undercount.
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HOUSEHOLD DATAHISTORICAL
A-1. Employment status of the civilian noninstitutionai population 16 years and over, 1962 to date
(Numbers in thousands)
Yearand
month
Civiliannoninsti-tutionai
population
Civilian labor force
NumberPercent
ofpopulation
Employed
NumberPercent
ofpopulation
Agriculture Nonagriculturalindustries
Unemployed
Number
Percentof
laborforce
Not inlaborforce
Annual averages
19621
1963196419651966196719681969
1970197119721
19731
197419751976197719781
1979
19801981198219831984198519861
198719881989
19902
19911992199319942
1995
120,153122,416124,485126,513128,058129,874132,028134,335
137,085140,216144,126147,096150,120153,153156,150159,033161,910164,863
167,745170,130172,271174,215176,383178,206180,587182,753184,613186,393
189,164190,925192,805194,838196,814198,584
1995:October ....NovemberDecember
1996:January ....February...MarchAprilMayJuneJulyAugustSeptemberOctober....
199,192199,355199,508
199,634199,773199,921200,101200,278200,459200,641200,847201,061201,273
70,61471,83373,09174,45575,77077,34778,73780,734
82,77184,38287,03489,42991,94993,77596,15899,009102,251104,962
106,940108,670110,204111,550113,544115,461117,834119,865121,669123,869
125,840126,346128,105129,200131,056132,304
58.858.758.758.959.259.659.660.1
60.460.260.460.861.361.261.662.363.263.7
63.863.964.064.064.464.865.365.665.966.5
66.566.266.466.366.666.6
66,70267,76269,30571,08872,89574,37275,92077,902
78,67879,36782,15385,06486,79485,84688,75292,01796,04898,824
99,303100,39799,526100,834105,005107,150109,597112,440114,968117,342
118,793117,718118,492120,259123,060124,900
55.555.455.756.256.957.357.558.0
57.456.657.057.857.856.156.857.959.359.9
59.259.057.857.959.560.160.761.562.363.0
62.861.761.561.762.562.9
4,9444,6874,5234,3613,9793,8443,8173,606
3,4633,3943,4843,4703,5153,4083,3313,2833,3873,347
3,3643,3683,4013,3833,3213,1793,1633,2083,1693,199
3,2233,2693,2473,1153,4093,440
61,75963,07664,78266,72668,91570,52772,10374,296
75,21575,97278,66981,59483,27982,43885,42188,73492,66195,477
95,93897,03096,12597,450
101,685103,971106,434109,232111,800114,142
115,570114,449115,245117,144119,651121,460
3,9114,0703,7863,3662,8752,9752,8172,832
4,0935,0164,8824,3655,1567,9297,4066,9916,2026,137
7,6378,273
10,67810,7178,5398,3128,2377,4256,7016,528
7,0478,6289,6138,9407,9967,404
Monthly data, seasonally adjusted3
132,473132,471132,352
132,903133,018133,655133,361133,910133,669134,181133,885134,340134,574
66.566.466.3
66.666.966.666.966.766.966.766.8
125,244125,062124,981
125,226125,663126,151126,095126,462126,610126,884127,055127,368127,627
62.962.762.6
62.762.963.163.063.163.263.263.363.363.4
3,4343,3233,325
3,5293,5193,4873,3683,4913,3823,5023,4213,5353,457
121,810121,739121,656
121,698122,143122,664122,726122,971123,228123,382123,635123,833124,169
5.55.75.24.53.83.83.63.5
4.95.95.64.95.68.57.77.16.15.8
7.17.69.79.67.57.27.06.25.55.3
5.66.87.56.96.15.6
7,2297,4097,371
7,6777,3557,5047,2667,4487,0607,2976,8306,9716,948
5.55.65.6
5.85.55.65.45.65.35.45.15.25.2
66,71966,88467,156
66,73066,75466,26666,74166,36866,79066,46066,96266,72166,699
49,53950,58351,39452,05852,28852,52753,29153,602
54,31555,83457,09157,66758,17159,37759,99160,02559,65959,900
60,80661,46062,06762,66562,83962,74462,75262,88862,94462,523
63,32464,57864,70065,63865,75866,280
1 Not strictly comparable with prior years. For an explanation, see"Historical Comparability" under the Household Data section of theExplanatory Notes and Estimates of Error.
2 Data, beginning in 1994, are not strictly comparable with data for 1993and prior years because of the introduction of a major redesign of theCurrent Population Survey (household survey) questionnaire and collectionmethodology. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofthis publication. Beginning in 1990, data incorporate 1990 census-basedpopulation controls, adjusted for the estimated undercount. For additionalinformation, see "Revisions in Household Survey Data Effective February1996" in the March 1996 issue of this publication.
3 The population figures are not adjusted for seasonal variation.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATAHISTORICAL
A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1985 to date
(Numbers in thousands)
Sex, year,and month
Civiliannoninsti-tutional
population
Civilian labor force
NumberPercent
ofpopulation
Employed
NumberPercent
ofpopulation
AgricultureNonagricultural
industries
Unemployed
Number
Percentof
laborforce
Not inlaborforce
MEN198519861
198719881989
199019911992199319942
1995
1995:OctoberNovember ...December ...
1996:JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptember .October
WOMEN198519861
198719881989
199019911992199319942
1995
1995:October ....NovemberDecember
1996:JanuaryFebruary ...MarchAprilMayJuneJulyAugustSeptemberOctober ....
84,46985,79886,89987,85788,762
90,37791,27892,27093,33294,35595,178
64,41165,42266,20766,92767,840
69,01169,16869,96470,40470,81771,360
95,49295,58095,661
95,71395,78695,86495,95596,04896,14096,23096,33596,44796,556
93,73694,78995,85396,75697,630
98,78799.646
100,535101,506102,460103,406
71,23871,20871,182
71,59371,74372,03071,93572,24172,12172,37571,97372,10272,375
51,05052,41353,65854,74256,030
56,82957,17858,14158,79560,23960,944
103,700103,775103,847
103,921103,986104,058104,146104,230104,319104,411104,512104,614104,717
61,23561,26361,170
61,31061,27561,62561,42661,66961,54861,80661,91262,23862,199
Annual averages
76.376.376.276.276.4
76.475.875.875.475.175.0
59,89160,89262,10763,27364,315
65,10464,22364,44065,34966,45067,377
70.971.071.572.072.5
72.070.469.870.070.470.8
2,5352,5112,5432,4932,513
2,5462,5892,5752,4782,5542,559
57,35658,38159,56460,78061,802
62,55961,63461,86662,87163,89664,818
Monthly data, seasonally adjusted3
74.674.574.4
74.874.975.175.075.275.075.274.774.875.0
67,41667,17767,162
67,50167,76467,85667,93368,27868,28368,40068,44268,31968,669
70.670.370.2
70.570.770.870.871.171.071.171.070.871.1
2,5622,4622,445
2,6192,6172,5902,5192,5992,5052,6032,5492,6092,617
64,85464,71564,717
64,88165,14765,26665,41465,67865,77965,79765,89365,71066,052
Annual averages
54.555.356.056.657.4
57.557.457.857.958.858.9
47,25948,70650,33451,69653,027
53,68953,49654,05254,91056,61057,523
50.451.452.553.454.3
54.353.753.854.155.355.6
644652666676687
678680672637855881
46,61548,05449,66851,02052,341
53,01152,81553,38054,27355,75556,642
Monthly data, seasonally adjusted3
59.159.058.9
59.058.959.259.059.259.059.259.259.559.4
57,82857,88557,819
57,72557,89958,29458,16158,18458,32658,48458.61359,04958,958
55.855.855.7
55.555.756.055.855.855.956.056.156.456.3
872861880
909902897849891877899871926840
56,95657,02456,939
56,81656,99757,39757,31257,29357,44957,58557,74258,12358,118
4,5214,5304,1013,6553,525
3,9064,9465,5235,0554,3673,983
3,8224,0314,020
4,0923.9794,1744,0023,9643,8373,9753,5313,7833,706
3,7913,7073,3243,0463,003
3,1403,6834,0903,8853,6293,421
3,4073,3783,351
3,5853,3763,3313,2643,4853,2223,3223,2993,1893,242
7.06.96.25.55.2
5.77.27.97.26.25.6
20,05820,37620,69220,93020,923
21,36722,11022,30622,92723,53823,818
5.45.75.6
5.75.55.85.65.55.35.54.95.25.1
24,25424,37224,479
24,12024,04323,83424,02023,80724,01923,85524,36224,34524,181
7.47.16.25.65.4
5.56.47.06.66.05.6
42,68642,37642,19542,01441,601
41,95742,46842,39442,71142,22142,462
5.65.55.5
5.85.55.45.35.75.25.45.35.15.2
42,46542,51242,677
42,61042,71142,43342.72142,56142,77142,60542,60042,37642,518
1 Not strictly comparable with prior years. For an explanation, see "HistoricalComparability" under the Household Data section of the Explanatory Notes andEstimates of Error.
2 Data, beginning in 1994, are not strictly comparable with data for 1993 and prioryears because of the introduction of a major redesign of the Current Population Survey(household survey) questionnaire and collection methodology. For additional
information, see "Revisions in the Current Population Survey Effective January 1994" inthe February 1994 issue of this publication. Beginning in 1990, data incorporate 1990census-based population controls, adjusted for the estimated undercount. For additionalinformation, see "Revisions in Household Survey Data Effective February 1996" in theMarch 1996 issue of this publication.
3 The population figures are not adjusted for seasonal variation.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-3. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted
(Numbers in thousands)
Employment status,sex, and age
1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
TOTAL
Civilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Men, 16 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Men, 20 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Women, 16 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Women, 20 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Both sexes, 16 to 19 yearsCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
199,192132,473
66.5125,244
62.97,229
5.5
95,49271,238
74.667,416
70.62,562
64,8543,822
5.424,254
88,02767,193
76.364,146
72.92,351
61,7953,047
4.520,834
103,70061,235
59.157,828
55.8872
56,9563,407
5.642,465
96,48757,516
59.654,661
56.7616
53,8452,855
5.038,971
14,6787,76452.9
6,43743.9267
6,1701,32717.1
6,914
199,355132,471
66.4125,062
62.77,409
5.6
95,58071,208
74.567,177
70.32,462
64,7154,031
5.724,372
88,04667,171
76.363,901
72.62,259
61,6423,270
4.920,875
103,77561,263
59.057,885
55.8861
57,0243,378
5.542,512
96,55557,502
59.654,752
56.7806
53,9462,750
4.839,053
14,7547,79852.9
6,40943.4258
6,1511,38917.8
6,956
199,508132,352
66.3124,981
62.67,371
5.6
95,66171,182
74.467,162
70.22,445
64,7174,020
5.624,479
88,17267,133
76.163,879
72.42,252
61,6273,254
4.821,039
103,84761,170
58.957,819
55.7880
56,9393,351
5.542,677
96,63357,426
59.454,715
56.6816
53,8992,711
4.739,207
14,7037,79353.0
6,38743.4257
6,1301,40618.0
6,910
199,634132,903
66.6125,226
62.77,677
5.8
95,71371,593
74.867,501
70.52,619
64,8814,092
5.724,120
88,22367,563
76.664,246
72.82,399
61,8483,317
4.920,659
103,92161,310
59.057,725
55.5909
56,8163,585
5.842,610
96,71757,591
59.554,642
56.5857
53,7852,949
5.139,126
14,6947,74952.76,33843.1273
6,0651,41218.2
6,945
199,773133,018
66.6125,663
62.97,355
5.5
95,78671,743
74.967,764
70.72,617
65,1473,979
5.524,043
88,29667,719
76.764,425
73.02,382
62,0443,294
4.920,577
199,921133,655
66.9126,151
63.17,504
5.6
95,86472,030
75.167,856
70.82,590
65,2664,174
5.823,834
88,36667,980
76.964,594
73.12,403
62,1913,386
5.020,386
103,986 104,05861,275
58.957,899
55.7902
56,9973,376
5.542,711
96,75757,570
59.554,790
56.6851
53,9382,780
4.839,188
14,7197,72952.5
6,44843.8286
6,1611,28216.6
6,990
61,62559.2
58,29456.0897
57,3973,331
5.442,433
96,79857,903
59.855,146
57.0844
54,3032,757
4.838,895
14,7577,77252.7
6,41143.4240
6,1711,36217.5
6,984
200,101133,361
66.6126,095
63.07,266
5.4
95,95571,935
75.067,933
70.82,519
65,4144,002
5.624,020
88,44067,821
76.764,555
73.02,292
62,2633,266
4.820,619
104,14661,426
59.058,161
55.8849
57,3123,264
5.342,721
96,85757,763
59.655,060
56.8813
54,2472,704
4.739,093
14,8057,77652.5
6,48043.8263
6,2171,29616.7
7,028!
200,278 200,459 200,641133,910
66.9126,462
63.17,448
5.6
96,04872,241
75.268,278
71.12,599
65,6783,964
5.523,807
88,53068,064
76.964,818
73.22,337
62,4803,246
4.820,466
104,23061,669
59.258,184
55.8891
57,2933,485
5.742,561
96,92557,915
59.855,014
56.8831
54,1832,901
5.039,010
14,8237,93253.5
6,63044.7323
6,3081,30116.4
6,891
133,669 134,181200,847 201,061133,885 134,340
66.7126,610
63.27,060
5.3
96,14072,121
75.068,283
71.02,505
65,7793,837
5.324,019
88,57068,118
76.964,962
73.32,292
62,6693,157
4.620,452
104,31961,548
59.058,326
55.9877
57,4493,222
5.242,771
96,99957,893
59.755,211
56.9842
54,3692,682
4.639,106
14,8907,65851.46,43743.2248
6,1891,22115.9
7,232
66.9126,884
63.27,297
5.4
96,23072,375
75.268,400
71.12,603
65,7973,975
5.523,855
88,61468,274
77.065,094
73.52,381
62,7133,179
4.720,340
104,41161,806
59.258,484
56.0899
57,5853,322
5.442,605
97,06458,102
59.955,266
56.9863
54,4032,837
4.938,962
14,9637,80552.2
6,52443.6258
6,2661,28016.4
7,158
66.7 66.8127,055 127,368
63.36,830
5.1
96,33571,973
74.768,442
71.02,549
65,8933,531
4.924,362
88,65068,114
76.865,286
73.62,352
62,9332,829
4.220,536
104,51261,912
59.258,613
56.1871
57,7423,299
5.342,600
97,14658,225
59.955,522
57.2829
54,6932,704
4.638,920
15,0517,54550.1
6,24841.5240
6,0081,29717.2
7,506
63.36,971
5.2
96,44772,102
74.868,319
70.82,609
65,7103,783
5.224,345
88,73368,072
76.764,978
73.;2,377
62,6013,094
4.520,661
104,61462,238
59.559,049
56.4926
58,1233,189
5.142,376
97,22658,356
60.055,711
57.3881
54,8312,645
4.538,870
15,1017,91152.4
6,67944.2278
6,4011,23215.6
7,190
201,273134,574
66.9127,627
63.46,948
5.2
96,55672,375
75.0
71.12,617
66,0523,706
5.124,181
88,84068,247
76.865,293
73.52,419
62,8732,954
4.320,593
104,71762,199
59.458,958
56.3840
58,1183,242
5.242,518
97,29058,372
60.055,657
57.2794
54,8622,715
4.738,918
15,1437,95652.5
6,67744.1244
6,4341,27816.1
7,187
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 independentseasonal adjustment of the various series.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonallyadjusted
(Numbers in thousands)
Employment status,race, sex, age, and
Hispanic origin
1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
WHITE
Civilian noninstitutional population1 ,Civilian labor force
Percent of populationEmployed
Employment-population ratio ...Unemployed
Unemployment rate
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio .
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio .
UnemployedUnemployment rate
Both sexes, 16 to 19 years
Civilian labor forcePercent of population
EmployedEmployment-population ratio .
UnemployedUnemployment rate
MenWomen
BLACK
Civilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio ..
UnemployedUnemployment rate
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio .
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio .
UnemployedUnemployment rate
167,327112,147
67.0106,761
63.85,386
4.8
57,71776.9
55,38373.8
2,3344.0
47,90959.4
45,82056.8
2,0894.4
6,52156.5
5,55848.196314.816.812.5
23,35714,856
63.613,370
57.21,486
10.0
6,67671.7
6,12565.75518.3
7,25961.9
6,63756.66228.6
167,441112,023
66.9106,451
63.65,572
5.0
57,67976.8
55,15073.4
2,5294.4
47,83259.2
45,79656.7
2,0364.3
6,51256.3
5,50547.6
1,00715.516.414.5
23,38915,006
64.213,558
58.01,448
9.6
6,66471.8
6,10865.85568.3
7,36662.7
6,78957.85777.8
167,545111,987
66.8106,445
63.55,542
4.9
57,69376.8
55,20673.5
2,4874.3
47,77259.1
45,72256.6
2,0504.3
6,52256.2
5,51747.5
1,00515.416.014.7
23,41914,959
63.913,436
57.41,523
10.2
6,68371.5
6,06264.96219.3
7,31762
6,75157.45667.7
167,669112,198
66.9106,576
63.65,623
5.0
57,89477.0
55,43873.7
2,4564.2
47,72759.0
45,60456.4
2,1234.4
6,57756.6
5,53347.6
1,04415.916.615.1
23,42414,993
64.013,409
57.21,584
10.6
6,74872.2
6,14165.76079.0
167,757112,747
67.2107,244
63.95,502
4.9
58,16277.3
55,68874.0
2,4754.3
47,96859.3
45,89256.8
2,0764.3
6,61656.8
5,66548.695114.415.213.4
23,45514,827
63.213,302
56.71,525
10.3
6,77572.3
6,08965.068610.1
7,34362.4
6,67856.86659.1
167,853112,970
67.3107,497
64.05,473
4.8
58,30977.5
55,79574.1
2,5144.3
48,13659.5
46,14157.0
1,9954.1
6,52555.8
5,56147.696414.816.013.4
23,48515,030
64.013,358
56.91,673
11.1
6,79072.4
6,04964.574110.9
7,19361.1
6,63056.35637.8
7,28761.8
6,67456.66138.4
167,973112,613
67.0107,319
63.95,294
4.7
58,20277.3
55,77874.1
2,4244.2
47,88459.2
45,93756.8
1,9474.1
6,52755.7
5,60447.892314.115.212.9
23,51914,971
63.713,399
57.01,573
10.5
6,69671.3
6,05564.56419.6
7,30061.9
6,68756.76138.4
168,098113,109
67.3107,612
64.05,497
4.9
58,34077.4
55,91474.2
2,4264.2
48,10359.4
45,97656.8
2,1284.4
6,66656.6
5,72348.694314.115.212.9
23,54915,149
64.313,599
57.71,55110.2
6,78672.2
6,13665.36509.6
7,37362.4
6,75857.26158.3
168,222112,941
67.1107,757
64.15,184
4.6
58,42677.5
56,04774.3
2,3794.1
47,95659.2
46,06356.9
1,8943.9
6,55855.5
5,64747.891113.914.713.0
23,57914,955
63.413,451
57.01,504
10.1
6,72871.5
6,11064.96179.2
7,37362.4
6,74357.06308.5
168,345113,076
67.2107,772
64.05,304
4.7
58,45677.5
56,07974.3
2,3764.1
47,98159.2
46,00956.8
1,9724.1
6,63956.0
5,68448.095514.416.612.0
23,61115,279
64.713,671
57.91,609
10.5
6,86772.9
6,23366.26349.2
7,50463.4
6,83057.76749.0
168,489112,832
67.0107,828
64.05,004
4.4
58,35477.3
56,17474.4
2,1793.7
48,12459.3
46,21757.0
1,9074.0
6,35453.5
5,43745.791714.415.613.2
23,65015,361
65.013,750
58.11,611
10.5
6,89073.2
6,32667.25648.2
7,51163.4
6,82457.66879.1
168,639113,316
67.2108,256
64.25,060
4.5
58,30377.1
56,00874.1
2,2953.9
48,28659.5
46,40657.2
1,8813.9
6,72656.4
5,84249.088513.214.511.8
23,69015,167
64.013,569
57.31,59710.5
6,84972.7
6,17765.66729.8
7,41762.5
6,79457.36238.4
168,788113,616
67.3108,603
64.35,013
4.4
58,55877.4
56,34474.5
2,2153.8
48,33759.5
46,42957.2
1,9073.9
6,72156.2
5,83048.889113.315.411.0
23,72815,291
64.413,644
57.51,647
10.8
6,84372.4
6,18965.56549.6
7,49163.0
6,83057.56618.8
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutionai population by race, sex, age, and Hispanic origin, seasonallyadjusted—Continued
(Numbers in thousands)
Employment status,race, sex, age, and
Hispanic origin
BLACK—ContinuedBoth sexes, 16 to 19 years
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
MenWomen
HISPANIC ORIGIN
Civilian noninstitutionai population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
92139.960826.331334.035.332.7
18,80012,410
66.011,251
59.81,159
9.3
97641.266127.931532.333.730.8
18,84512,374
65.711,227
59.61,147
9.3
95941.462326.933635.039.031.4
18,88912,391
65.611,237
59.51,154
9.3
90239.1590
25.631234.639.130.4
18,92912,655
66.911,493
60.71,162
9.2
86037.2583
25.227632.130.633.6
18,97712,666
66.711,432
60.21,234
9.7
95441.163527.431933.538.228.4
19,02512,571
66.111,308
59.41,262
10.0
97641.965728.231932.734.131.3
19,08012,511
65.611,294
59.21,217
9.7
99042.3705
30.128628.927.430.2
19,13112,514
65.411,365
59.41,149
9.2
85436.459825.425630.035.325.0
19,18412,576
65.611,472
59.81,104
8.8
90838.560725.830133.143.320.9
19,23812,641
65.711,500
59.81,141
9.0
96040.259925.136137.638.636.5
19,29212,877
66.711,750
60.91,127
8.7
90137.559824.930333.636.630.7
19,34612,822
66.311,766
60.81,057
8.2
95739.962526.133134.637.132.1
19,39812,986
66.911,942
61.61,044
8.0
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 andHispanics are included in both the white and black population groups.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY 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
1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
EMPLOYED
Full-time workersMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
Part-time workersMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
UNEMPLOYED
Looking for full-time workMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
Looking for part-time workMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
UNEMPLOYMENT RATES1
Full-time workersMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
Part-time workersMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
102,12860,07058,88042,01341,170
2,078
23,1767,3435,329
15,80113,4854,362
5,8463,3522,8562,5962,328
662
1,457624238847535684
5.45.34.65.85.4
24.2
5.97.84.35.13.813.6
102,28559,91658,67842,31541,5202,087
23,0017,3025,31915,66713,3464,336
5,9773,4573,0452,5522,240692
1,452624242845515695
5.55.54.95.75.1
24.9
5.97.94.45.13.7
13.8
102,23360,01258,82742,16141,352
2,054
22,9507,2545,227
15,64813,3764,347
5,9383,4433,0372,5352,219
682
1,450636249828481720
5.55.44.95.75.1
24.9
5.98.14.55.03.5
14.2
101,95759,84458,70242,05841,265
1,989
23,1887,5915,521
15,60913,3214,346
6,1163,3452,9892,7142,412
715
1,472590233864539699
5.75.34.86.15.5
26.4
6.07.24.15.23.9
13.9
102,59460,14458,92842,35941,560
2,106
23,0137,4905,375
15,56113,2614,378
5,8533,2383,0092,5252,251
593
1,516685307836511697
5.45.14.95.65.1
22.0
6.28.45.45.13.713.7
102,61860,19358,946. 42,42741,6462,025
23,3267,5405,49815,75613,4374,390
6,0143,4653,1112,5132,216688
1,499668288800537675
5.55.45.05.65.1
25.3
6.08.15.04.83.8
13.3
102,71160,34559,16942,36741,623
1,919
23,2397,5195,276
15,74113,4164,547
5,8433,3683,0212,4732,190
632
1,427625240811525662
5.45.34.95.55.0
24.8
5.87.74.34.93.8
12.7
103,39060,90059,58642,48841,607
2,196
23,0357,3455,185
15,70213,3774,474
5,9693,3222,9532,6372,364
652
1,455616278837530648
5.55.24.75.85.4
22.9
5.97.75.15.13.812.6
103,32560,71859,45642,70041,8711,998
23,2477,6115,47915,64713,3444,424
5,6723,2342,9032,4492,247522
1,389624259767438692
5.25.14.75.45.1
20.7
5.67.64.54.73.213.5
103,61960,90659,66342,77541,9272,029
23,2487,5285,46015,68713,3284,459
5,8253,3032,9082,5422,351566
1,505690277807517711
5.35.14.65.65.3
21.8
6.18.44.84.93.7
13.7
103,73060,97059,84942,74141,982
1,899
23,3597,4975,509
15,90313,4704,380
5,3632,9oo2,5602,4392,161
642
1,476613271853542663
4.94.64.15.44.9
25.2
5.97.64.75.13.913.1
104,37861,11559,78043,26042,4352,163
23,0727,3125,22415,79013,3044,544
5,6113,3092,9152,3282,063633
1,359506193842566599
5.15.14.65.14.6
22.6
5.66.53.65.14.1
11.6
104,69861,32260,06043,39742,559
2,079
22,9857,3875,275
15,57613,1054,606
5,6643,3142,7762,4622,179
709
1,341539212810533597
5.15.14.45.44.9
25.4
5.56.83.94.93.9
11.5
1 These rates reflect a refined definition of the full- and part-time laborforce and differ from the rates published elsewhere in this publication
prior to 1994.
10
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-6. Employed persons by marital status, occupation, class of worker, and part-time status, seasonally adjusted
(In thousands)
Category1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
MARITAL STATUS
TotalMarried men, spouse presentMarried women, spouse presentWomen who maintain families
OCCUPATION
Managerial and professional specialtyTechnical, sales, and administrativesupport
Service occupationsPrecision production, craft, and repairOperators, fabricators, and laborersFarming, forestry, and fishing
CLASS OF WORKER
Agriculture:Wage and salary workersSelf-employed workersUnpaid family workers
Nonagricultural industries:Wage and salary workersPrivate industries
Private householdsOther industries
Government ,Self-employed workersUnpaid family workers
PERSONS AT WORK PART TIME1
All industries:Part time for economic reasonsSlack work or business conditionsCould only find part-time work
Part time for noneconomic reasons
Nonagricultural industries:Part time for economic reasonsSlack work or business conditionsCould only find part-time work
Part time for noneconomic reasons
125,24442,28132,185
7,089
35,758
37,33716,99413,45918,0343,692
1,8061,543
49
112,77794,533
97393,56018,2448,913
102
4,4332,5201,652
17,678
4,2742,4261,610
17,054
125,06242,08132,153
7,274
35,730
37,29116,94713,34418,2133,590
1,7501,514
34
112,72294,434
98093,45418,2888,853
105
4,4352,5261,648
17,452
4,2832,4191,622
16,852
124,98142,05832,0727,304
35,712
36,99916,96413,44518,2643,599
1,7551,521
46
112,61894,381
97593,40618,2378,877
106
4,4472,5371,615
17,405
4,3062,4401,583
16,804
125,22642,17132,078
7,294
35,682
37,05716,75513,61518,2573,760
1,9641,547
48
112,56894,524
93193,59318,0448,913
85
4,0912,2501,509
17,198
3,8422,1141,472
16,520
125,66342,33932,101
7,295
35,866
37,32816,72713,78618,1473,744
1,9541,531
34
113,16594,906
87394,03218,2598,953
116
4,5022,5331,621
17,493
4,2742,3621,607
16,884
126,15142,17832,053
7,397
36,149
37,78216,71413,61818,0583,622
1,8591,572
41
113,46195,456
90194,55518,0059,092
102
4,4792,5481,596
17,915
4,2232,3861,561
17,266
126,09542,06731,8687,389
36,115
37,63816,93913,59518,1243,545
1,8621,484
52
113,52795,237
84494,39318,2909,081
101
4,5252,5941,571
17,487
4,2872,4761,534
16,994
126,46242,40632,330
7,314
36,257
37,68117,31213,43918,2823,560
2,0261,456
46
114,03295,776
91894,85818,2568,878
124
4,2772,2161,719
17,620
4,0682,0921,663
17,038
126,61042,58732,6497,360
36,696
37,68317,21513,57218,1373,472
1,9001,457
35
114,13095,801
81294,98918,3299,073
136
4,3012,3221,569
18,211
4,1462,2151,542
17,623
126,88442,47832,7137,230
36,361
37,79517,41813,43918,3923,594
1,8631,564
52
114,29496,000
93595,06518,2948,998
130
4,3662,5891,494
17,814
4,1592,4571,479
17,157
127,05542,62232,732
7,291
36,520
37,85817,39713,70118,0753,500
1,8021,528
65
114,63496,348
1,00995,33918,2868,876
121
4,3542,4771,610
18,229
4,2052,3501,600
17,613
127,36842,26532,765
7,443
36,741
37,80117,53313,71718,0473,576
1,8331,597
97
114,90896,821
1,00695,81418,0888,763
127
4,3092,4261,616
17,710
4,1282,3181,574
17,036
127,62742,62332,5077,390
36,911
38,00417,24213,60218,2503,619
1,7931,585
75
115,12097,012
1,02395,98918,1078,928
137
4,3002,2171,746
17,631
4,1252,1121,732
17,008
'Persons at work excludes employed persons who were absent from theirjobs during the entire reference week for reasons such as vacation, illness, orindustrial dispute. Part time for noneconomic reasons excludes persons who
usually work full time but worked only 1 to 34 hours during the reference weekfor reasons such as holidays, illness, and bad weather.
11
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-7. Employed persons by age and sex, seasonally adjusted
(In thousands)
Age and sex1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
Total, 16 years and over ...
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Men, 16 years and over
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
125,244
18,6406,4372,5703,862
12,203106,65191,26315,316
67,416
9,7753,2701,3071,9706,505
57,69649,1018,530
57,828
8,8653,1671,2631,8925,698
48,95542,1626,786
125,062
18,6086,4092,5603,845
12,199106,44091,30615,204
67,177
9,7633,2761,2821,9916,487
57,40448,980
8,463
57,885
8,8453,1331,2781,8545,712
49,03642,3266,741
124,981
18,5426,3872,5443,852
12,155106,44391,36015,119
67,162
9,7663,2831,3011,9926,483
57,37849,010
8,423
57,819
8,7763,1041,2431,8605,672
49,06542,3506,696
125,226 125,663
18,4226,3382,5133,786
12,084106,75491,53115,153
67,501
9,7893,2541,2571,9666,535
57,69749,247
8,419
57,725
8,6333,0841,2561,8205,549
49,05642,2846,734
18,5526,4482,5743,864
12,105
126,151
18,7016,4112,6453,754
12,290107,065 107,36391,74015,326
67,764
9,7213,3391,3112,0266,383
58,02349,503
8,510
57,899
8,8313,1091,2641,8385,722
49,04242,237
6,816
91,91515,416
67,856
9,7553,2631,3301,9376,493
58,06549,4198,634
58,294
8,9463,1481,3141,8175,798
49,29742,4966,782
126,095
18,7586,4802,6613,816
12,278107,30092,08815,231
67,933
9,7983,3791,3342,0336,420
58,12149,580
8,581
58,161
8,9603,1021,3271,7835,858
49,18042,5086,650
126,462 126,610 126,884
18,8096,6302,6473,960
12,179
18,5066,4372,6673,820
12,069107,599 108,20792,26115,356
68,278
9,9093,4601,3532,0846,449
58,29049,668
8,685
58,184
8,9003,1701,2941,8765,730
49,30942,5936,670
92,78115,459
68,283
9,7253,3221,3362,0376,403
58,56149,8598,734
58,326
8,7813,1161,3311,7835,666
49,64642,9226,725
18,5286,5242,6443,886
12,004
127,055
18,2566,2482,5443,669
12,008
127,368
18,8346,6792,7233,967
12,156108,436 108,892 108,50492,93515,497
68,400
9,7263,3061,2812,0226,420
58,70650,0338,680
58,484
8,8023,2191,3641,8645,584
49,73142,902
6,818
93,23315,524
68,442
9,5303,1561,2111,9096,374
58,96450,1628,706
58,613
8,7263,0921,3331,7605,634
49,92843,071
6,817
93,07815,421
68,319
9,7173,3411,3491,9986,376
58,61049,9738,620
59,049
9,1173,3381,3731,9695,779
49,89443,1056,800
127,627
18,8856,6772,7603,916
12,208108,82493,26215,519
68,669
9,8573,3761,3971,9876,480
58,87750,1128,744
58,958
9,0283,3011,3631,9285,727
49,94743,1506,775
A-8. Unemployed persons by age and sex, seasonally adjusted
(In thousands)
Age and sex1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
Total, 16 years and over ....
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Men, 16 years and over
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
7,229
2,5941,327657687
1,2674,6604,164
558
3,822
1,444775357414669
2,3992,122
296
3,407
1,150552300273598
2,2612,042
262
7,409
2,5721,389646739
1,1834,8484,243
590
4,031
1,432761355409671
2,6222,281
321
3,378
1,140628291330512
2,2261,962269
7,371
2,6401,406673737
1,2344,7964,223
561
4,020
1,454766360405688
2,6052,281
304
3,351
1,186640313332546
2,1911,942257
7,677
2,7501,412649767
1,3394,8254,311
550
4,092
1,446776361415670
2,5482,279
310
3,585
1,304636288352668
2,2772,033
240
7,355
2,6161,282642645
1,3344,7624,212
573
3,979
1,464685363328779
2,5442,259
305
3,376
1,152597279317555
2,2191,953268
7,504
2,6591,362637722
1,2984,8654,233
611
4,174
1,508787362426720
2,6612,330
315
3,331
1,152574275296577
2,2051,903296
7,266
2,5171,296613689
1,2214,7354,174
518
4,002
1,441736358389706
2,5622,299
267
3,264
1,076561255300515
2,1721,875251
7,448
2,6081,301639658
1,3064,8224,266
570
3,964
1,468717339379750
2,4962,201
298
3,485
1,140584300279556
2,3262,065
272
7,060
2,4531,221627593
1,2324,6144,032
571
3,837
1,372681345338691
2,4692,134
321
3,222
1,08154028225554t
2,1451,897250
7,297
2,5631,280637640
1,2834,7204,105
607
3,975
1,492795408389696
2,4662,115
345
3,322
1,071485229251586
2,2541,989262
6,830
2,3801,297602698
1,0834,4593,945
493
3,531
1,237702341362535
2,3072,005
291
3,299
1,144595260336548
2,1531,940202
6,971
2,3861,232564675
1,1534,5874,096
528
3,783
1,306689307383618
2,4662,210
287
3,189
1,079544256292535
2,1211,886241
6,948
2,4561,278600698
1,1784,5084,058
497
3,706
1,372752337416621
2,3472,104
259
3,242
1,083526263281557
2,1611,954237
12
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-9. Unemployment rates by age and sex, seasonally adjusted
Age and sex1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
Total, 16 years and over ...
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Men, 16 years and over ....
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over
16 to 24 years16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
5.5
12.217.120.415.19.44.24.43.5
5.4
12.919.221.517.49.34.04.13.4
5.6
11.514.819.212.69.54.44.63.7
5.6
12.117.820.116.18.84.44.43.7
5.7
12.818.921.717.09.44.44.43.7
5.5
11.416.718.515.18.24.34.43.8
5.6
12.518.020.916.19.24.34.43.6
5.6
13.018.921.716.99.64.34.43.5
5.5
11.917.120.115.18.84.34.43.7
5.8
13.018.220.516.910.04.34.53.5
5.7
12.919.222.317.49.34.24.43.5
5.8
13.117.118.716.210.84.44.63.4
5.5
12.416.620.014.39.94.34.43.6
5.5
13.117.021.713.910.94.24.43.5
5.5
11.516.118.114.78.84.34.43.8
5.6
12.417.519.416.19.54.34.43.8
5.8
13.419.421.418.010.04.44.53.5
5.4
11.415.417.314.09.14.34.34.2
5.4
11.816.718.715.39.04.24.33.3
5.6
12.817.921.216.19.94.24.43.0
5.3
10.715.316.114.48.14.24.23.6
5.6
12.216.419.414.29.74.34.43.6
5.5
12.917.220.015.410.44.14.23.3
5.7
11.415.618.812.98.84.54.63.9
5.3
11.715.919.013.49.34.14.23.6
5.3
12.417.020.514.29.74.04.13.5
5.2
11.014.817.512.58.74.14.23.6
5.4
12.216.419.414.19.74.24.23.8
5.5
13.319.424.216.19.84.04.13.8
5.4
10.913.114.411.89.54.34.43.7
5.1
11.517.219.116.08.33.94.13.1
4.9
11.518.222.015.97.73.83.83.2
5.3
11.616.216.316.08.94.14.32.9
5.2
11.215.617.214.58.74.14.23.3
5.2
11.917.118.616.18.84.04.23.2
5.1
10.614.015.712.98.54.14.23.4
5.2
11.516.117.815.18.84.04.23.1
5.1
12.218.219.417.38.73.84.02.9
5.2
10.713.816.212.78.94.14.33.4
13
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-10. Unemployment rates by occupation, industry, and selected demographic characteristics, seasonally adjusted
Category1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
CHARACTERISTIC
TotalMen, 20 years and over ,Women, 20 years and overBoth sexes, 16 to 19 years
WhiteBlack and other ,BlackHispanic origin
Married men, spouse presentMarried women, spouse presentWomen who maintain families
OCCUPATION1
Managerial and professional specialtyTechnical, sales, and administrative supportPrecision production, craft, and repairOperators, fabricators, and laborersFarming, forestry, and fishing
INDUSTRY
Nonagricultural private wage and salary workersGoods-producing industries
MiningConstructionManufacturing
Durable goodsNondurable goods
Service-producing industriesTransportation and public utilitiesWholesale and retail tradeFinance, insurance, and real estateServices
Government workersAgricultural wage and salary workers
5.54.55.0
17.1
4.89.4
10.09.3
3.23.97.9
2.44.56.18.18.3
5.76.58.7
11.74.84.35.65.54.36.33.35.52.9
12.2
5.64.94.8
17.8
5.09.09.69.3
3.33.87.7
2.54.26.58.37.8
5.86.77.0
12.05.04.55.85.44.26.33.05.52.9
12.0
5.64.84.7
18.0
4.99.3
10.29.3
3.23.86.8
2.54.45.88.47.7
5.86.58.1
11.55.04.45.85.54.66.43.25.52.8
12.6
5.84.95.1
18.2
5.09.5
10.69.2
3.34.08.2
2.44.65.38.38.4
5.86.35.2
10.75.04.45.75.63.76.82.95.72.8
10.5
5.54.94.8
16.6
4.99.1
10.39.7
3.03.87.5
2.34.55.98.27.7
5.76.46.5
11.24.95.34.45.43.86.32.25.73.0
10.7
5.65.04.8
17.5
4.89.8
11.110.0
3.13.57.7
2.34.45.88.67.9
5.86.56.8
10.05.35.15.75.54.26.92.55.42.8
10.7
5.44.84.7
16.7
4.79.4
10.59.7
3.03.76.8
2.34.45.58.08.0
5.76.14.4
10.24.84.84.85.54.26.62.35.62.9
10.9
5.64.85.0
16.4
4.99.2
10.29.2
2.93.88.7
2.34.75.38.39.1
5.76.22.1
10.05.14.85.55.64.26.62.55.73.3
10.0
5.34.64.6
15.9
4.69.0
10.18.8
3.03.67.6
2.44.15.27.97.7
5.56.14.79.55.14.65.75.24.56.42.65.12.79.2
5.44.74.9
16.4
4.79.4
10.59.0
3.03.59.1
2.54.65.57.76.3
5.55.92.8
10.14.64.25.35.44.36.32.85.53.28.6
5.14.24.6
17.2
8.710.58.7
2.93.28.8
2.14.35.27.85.8
5.35.64.48.84.73.86.05.24.26.32.45.22.77.4
5.24.54.5
15.6
4.59.3
10.58.2
3.03.38.3
2.34.55.57.37.0
5.35.45.19.14.34.04.65.24.06.03.25.33.0
11.0
5.24.34.7
16.1
4.49.4
10.88.0
3.03.58.5
2.14.55.67.76.6
5.35.86.19.64.74.45.15.14.56.22.84.92.99.8
1 Seasonally adjusted data for service occupations are not availablebecause the seasonal component, which is small relative to the trend-cycle
and irregular components, cannot be separated with sufficient precision.
14
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATASEASONALLY ADJUSTED
A-11. Unemployed persons by reason for unemployment, seasonally adjusted
(Numbers in thousands)
Reason
NUMBER OF UNEMPLOYED
Job losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Job leaversReentrants . . .New entrants
PERCENT DISTRIBUTION
Total unemployedJob losers and persons who completed temporary jobs
On temporary layoffNot on temporary layoff
Job leavers . .ReentrantsNew entrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobsJob leaversReentrantsNew entrants
1995
Oct.
3,4571,0182,439
7622,506
559
100.047.514.033.510534.4
7.7
2.6.6
1.9.4
Nov.
3,4851,0492,436
8572,504
585
100.046.914.132.811.533.7
7.9
2.6.6
1.94
Dec.
3,4841,0122,472
8812,466
603
100.046.913.633.311.933.28.1
2.6.7
1.9.5
1996
Jan.
3,6061,1322,474
8692,458
641
100.047.614.932.711.532.58.5
2.7.7
1.85
Feb.
3,5951,0322,564
7472,517
613
100.048.113.834.310.033.7
8.2
2.7.6
1.95
Mar.
3,5641,0272,537
7822,588
591
100.047.413.633.710434.4
7.9
2.7.6
1.94
Apr.
3,6251,1162,509
7022,379
550
100.050.015.434.6
9.732.87.6
2.7.5
1.84
May
3,3881,1542,234
6612,784
532
100.046.015.730.3
9037.8
7.2
2.5.5
2.14
June
3,431990
2,441676
2,419528
100.048.614.034.6
9634.3
7.5
2.65
1.84
July
3,343953
2,391749
2,529623
100.046.113.133.010334 9
8.6
2.56
1.95
Aug.
3,054889
2,165773
2,448548
100.044.813.031.711 335 9
8.0
2.36
1.84
Sept.
3,2251,0592,167
8072,404
545
100.046.215.231.011 634 4
7.8
2.46
1.84
Oct.
3,098938
2,160809
2,483575
100.044.513.531.011 635 68.3
2.36
1.84
A-12. Unemployed persons by duration of unemployment, seasonally adjusted
(Numbers in thousands)
Duration1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
NUMBER OF UNEMPLOYED
Less than 5 weeks5 to 14 weeks15 weeks and over
15 to 26 weeks27 weeks and over
Average (mean) duration, in weeks .Median duration, in weeks
PERCENT DISTRIBUTION
Total unemployedLess than 5 weeks5 to 14 weeks15 weeks and over
15 to 26 weeks27 weeks and over
2,7442,3482,2811,0101,271
16.28.1
100.037.231.830.913.717.2
2,7672,3832,3051,0571,248
16.38.0
100.037.132.030.914.216.7
2,7172,4312,3221,0851,237
16.28.1
100.036.432.531.114.516.6
2,7842,4132,3701,1181,252
16.08.3
100.036.831.931.314.816.5
2,7932,2802,3071,1261,181
16.68.0
100.037.830.931.315.316.0
2,6232,2982,4791,1641,316
17.38.3
100.035.431.133.515.717.8
2,4122,3372,3881,1061,282
17.48.8
100.033.832.733.515.518.0
2,8152,3342,3361,0201,317
16.88.3
100.037.631.231.213.617.6
2,4852,1602,4351,1161,319
17.68.1
100.035.130.534.415.818.6
2,7012,3222,319958
1,361
16.88.6
100.036.831.631.613.118.5
2,4862,1292,248
9781,270
17.48.5
100.036.231.032.814.318.5
2,4462,2452,2791,0541,225
17.08.9
100.035.132.232.715.117.6
2,4872,2692,3061,0761,230
16.78.3
100.035.232.132.615.217.4
15
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
(Numbers in thousands)
Age, sex, and race
October 1996
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Agri-culture
Nonagri-cultural
industries
Unemployed
Number
Percentof
laborforce
Not
laborforce
TOTAL
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Men
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Women
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
201,27315,1437,7817,362
17,298115,93840,09919,00521,09543,28522,38120,90432,55418,47614,07821,02911,2349,795
31,8659,6708,569
13,625
96,5567,7164,0113,7058,566
56,85519,6729,314
10,35821,33011,03010,30015,8539,0286,825
10,0335,4134,620
13,3864,4493,7495,188
104,7177,4263,7703,6568,732
59,08420,428
9,69110,73721,95511,35110,60416,7019,4487,253
10,9965,8215,175
18,4785,2224,8208,436
135,0157,6183,1934,425
13,29197,89033,99016,08617,90437,12019,10318,01726,78015,65811,12212,3067,8664,4413,9092,2121,049
647
72,4363,9411,6422,3007,040
52,37618,4108,6569,755
19,82910,2649,565
14,1378,1905,9476,7524,2732,4792,3271,289
617421
62,5793,6771,5512,1266,251
45,51415,5807,4318,150
17,2918,8408,452
12,6437,4685,1755,5543,5931,9611,583
924432226
67.150.341.060.176.884.484.884.684.985.885.486.282.384.779.058.570.045.312.322.912.24.8
75.051.140.962.182.292.193.692.994.293.093.192.989.290.787.167.378.953.717.429.016.58.1
59.849.541.158.171.677.076.376.775.978.877.979.775.779.071.350.561.737.98.6
17.79.02.7
128,4396,4062,6713,735
12,20194,09432,41215,24317,16935,69918,31117,38825,98315,19710,78611,9747,6814,2933,7652,1011,024
640
3,2461,3521,8936,497
50,53017,6668,2529,414
19,1609,8779,283
13,7047,9355,7696,5784,1672,4122,2481,229
607412
59,3403,1601,3191,8415,704
43,56414,7456,9907,75516,5398,4348,10512,2797,2625,0175,3953,5141,8811,516872417227
63.842.334.350.770.581.280.880.281.482.581.883.279.882.376.656.968.443.811.821.712.04.7
71.642.133.751.175.888.989.888.690.989.889.590.186.487.984.565.677.052.216.827.616.27.9
56.742.635.050.465.373.772.272.172.275.374.376.473.576.969.249.160.436.38.216.78.72.7
3,515214101114291
2,15278633245480140339856529127444624719941119513778
2,6521748392
2441,60560626434259329330040621619030416414032414911065
8634018224754718168113208110971597584143836087462714
124,9246,1922,5713,62111,90991,94231,62514,91116,71534,89817,90816,99025,41814,90610,51311,5277,4344,0933,3541,906887561
66,4483,0711,2701,8026,25348,92517,0607,9889,072
18,5669,5848,983
13,2987,7185,5806,2754,0032,2721,9241,080
497348
58,4773,1201,3011,8195,657
43,01714,5656,9227,64316,3328,3248,00812,1207,1884,9335,2533,4311,8211,430826390213
6,5771,212522691
1,0903,7971,579844735
1,421792629796461336333185148145112258
3,337696290406543
1,846744403341669387282433255178174106687960109
3,240516232284547
1,9518354403947524053473642051581597980665215
4.915.916.315.68.23.94.65.24.13.84.13.53.02.93.02.72.33.33.75.12.41.2
4.617.717.617.77.73.54.04.73.53.43.82.93.13.13.02.62.52.73.44.71.62.1
5.214.015.013.48.84.35.45.94.84.44.64.12.92.83.12.92.24.14.25.63.5
66,2587,5254,5882,9364,00718,0486,1092,9183,1906,1653,2772,8875,7752,8192,9568,7233,3685,35527,9557,4587,52012,977
24,1203,7752,3701,4061,5264,4791,261658604
1,501766735
1,716838878
3,2811,1402,14111,0603,1603,1324,767
42,1383,7502,2191,5312,48113,5694,8472,2602,5874,6632,5112,1524,0591,9812,0785,4422,2283,21416,8954,2984,3888,210
16
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
Age, sex, and race
October 1996
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Agri-culture
Nonagri-cultural
industries
Unemployed
Number
Percentof
laborforce
Notin
laborforce
WHITE
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Men
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Women
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
168,78811,9516,1185,833
13,84396,34632,68615,43617,24935,96018,52817,43227,70115,62912,07218,2019,6978,504
28,4478,4777,622
12,348
81,7416,1003,1462,9536,944
47,92316,3117,6918,620
17,9459,2608,685
13,6677,7445,9238,7684,7064,062
12,0073,9093,3544,744
87,0475,8512,9722,8796,899
48,42316,3757,7458,629
18,0159,2698,747
14,0347,8856,1499,4334,9914,442
16,4404,5684,2687,604
113,8306,4092,6923,717
10,97082,09827,92513,20214,72331,07715,93415,14223,09613,4059,691
10,7906,8643,9263,5632,006
956601
62,0203,3331,3761,9575,891
44,66615,4207,2398,181
16,8938,7348,159
12.3537,1125,2416,0033.7742,2292,1271,163
569396
51,8103,0761,3161,7605,079
37,43212,5055,9626,543
14,1847,2006,984
10,7436,2934.4504.7883.0901,6971,436
843387205
67.453.644.063.779.285.285.485.585.486.486.086.983.485.880.359.370.846.212.523.712.54.9
75.954.643.766.384.893.294.594.194.994.194.393.990.491.888.568.580.254.917.729.717.08.3
59.552.644.361.173.677.376.477.075.878.777.779.876.679.872.450.861.938.2
8.718.59.12.7
109,1625.5762.3223,254
10,26779,36926,84912,64614,20230,04215,34714,69522,47713,0499,428
10,5186,7093,8083,4331,909
930594
59,5742,8351,1651.6705,542
43,28814.8796,9527,926
16,3948.4347,960
12,0156,9185,0985,8493,6812,1682,0601,115
558387
49,5882,7411,1571,5844,725
36,08111,9705,6946,27613.6486,9136,73510,4626,1314,3314,6693,0291,6401,373794372206
64.746.737.955.874.282.482.181.982.383.582.884.381.183.578.157.869.244.812.122.512.24.8
72.946.537.056.579.890.391.290.492.091.491.191.787.989.386.166.778.253.417.228.516.68.2
57.046.838.955.068.574.573.173.572.775.874.677.074.677.870.449.560.736.98.417.48.72.7
3,34520899109282
2,02975130844374938336652927325542823519339818913376
2,5171738191
2371.50657524333255427827637620117528915513431314310763
829351817455231766611019510590153728113980
462614
105,8165,3682,2233.1469,985
77,34026,09712,33813,75929,29314.96414.32921,94912,7769.17310,0896,4743.6153.0341,720797517
57,0572,6631,0841,5795,305
41,78214,3036,7107,59415,8408,1567,68411,6396,7164,9235,5603,5262,0341,747972451324
48.7592,7061,1391,5674,680
35,55711,7945,6286,16613.4546,8086,64510,3106,0604,2504,5292,9481,5811,287748346193
4,668833370463703
2,7291,076555521
1,03458744761935626327315411813097268
2,447498211287349
1,37854128725449930019833819514415493616748119
2,222335160176353
1,3515352682665352872492811621191196158634915
4.113.013.812.46.43.33.94.23.53.33.73.02.72.72.72.52.23.03.74.82.71.3
3.914.915.314.75.93.13.54.03.13.03.42.42.72.72.72.62.52.73.24.11.92.2
4.310.912.110.07.03.64.34.54.13.84.03.62.62.62.72.52.03.44.45.83.9
54.9585,5423,4262,1162,87314,2484,7612,2352.5264,8832,5942,2894,6042,2232,3817,4112,8334,578
24,8846,4716,66611,747
19,7212,7661,770996
1,0533,257891452439
1,052525527
1,314632682
2,765932
1,8339,8802,7472,7854,348
35.2372,7751,6561,1191,820
10,9923,8701,7832,0873,8312,0681,7633,2911,5921,6994,6461,9012,74515,0043,7253,8807,399
17
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
Age, sex, and race
October 1996
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Agri-culture
Nonagri-cultural
industries
Unemployed
Percentof
laborforce
Not
laborforce
BLACK
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Men
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Women
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to 74 years75 years and over
23,7282,4001,2461,1552,48314,1055,3102,5582,7525,3362,8192,5183,4582,0511,4072,1191,147973
2,620894710
1,016
10,6351,189631558
1,1246,3732,3751,1331,2412,4411,2911,1501,557931626918501417
1,030408281341
13,0931,211615596
1,3597,7322,9351,4241,5112,8951,5281,3681,9011,121781
1,201646556
1,590486429675
15,370904352552
1,71211,3944,3912,0842,3074,4022,3392,0632,6001,628973
1,1127493642491427235
7,338450184266814
5,4342,116993
1,1232,0891,106983
1,229764465504344160136843616
8,032454168286898
5,9592,2751,0901,1852,3131,2321,0811,372864508608404204113583718
64.837.628.247.868.980.882.781.583.882.583.082.075.279.369.152.565.337.4
9.515.910.13.4
69.037.829.147.772.485.389.187.790.485.685.785.578.982.074.254.968.738.413.220.512.64.8
61.337.527.447.966.177.177.576.578.479.980.779.072.277.165.150.662.636.6
7.112.08.52.7
13,796597235363
1,36910,5233,9751,8492,1264,0752,1571,9172,4731,544
9291,070
7283422371317234
6,586292120172639
5,0381,946
8951,0511,9341,025
9091,158
712446489332158127753616
7,210305115191730
5,4852,029
9541,0752,1411,1331,0081,315
832483581396185110553618
58.124.918.831.455.174.674.972.377.276.476.576.271.575.366.050.563.535.2
9.114.610.13.4
61.924.519.030.856.979.182.079.084.779.279.479.174.476.571.153.366.337.812.418.512.64.8
55.125.218.732.053.770.969.167.071.173.974.173.769.274.261.948.361.333.36.9
11.48.52.7
1083127
8323149
361521231112633963
9011
56819127
311218199
316339
182
22
14422633422
13,689594234361
1,36210,4403,9521,8352,1174,0392,1421,8962,4491,532
9171,064
7253392281246934
6,496291119172634
4,9701,927
8831,0441,9031,012
8911,139
703436483329155118693316
7,192303115189728
5,4702,024
9521,0732,1351,1301,0051,311
829481581396185110553618
1,57430611718934387141623418232716114612884444221211211
7521586494
1753961709872
15582747151191512288
8221495395
168475246136110172997257322527
81933
10.233.933.334.320.07.69.5
11.37.97.47.77.14.95.14.53.82.85.94.68.0
10.235.134.735.321.5
7.38.09.96.47.47.47.55.86.74.22.93.61.66.09.7
10.232.731.833.318.78.0
10.812.59.37.48.16.74.23.84.84.52.19.23.0
8,3581,497
894603771
2,711919474445934480454858424434
1,007398609
2,372752638982
3,297740448292310938258140119352185167328167161414157257895324246325
5,061757446311461
1,773660334326583295287530257273593241352
1,477427393657
Data not shown where base is less than 75,000.
18
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-14. Employment status of the civilian noninstitutional population by race, sex, and age
(Numbers in thousands)
Employment status andrace
Total
Oct.1995
Oct.1996
Men, 20 years andover
Oct.1995
Oct.1996
Women, 20 years andover
Oct.1995
Oct.1996
Both sexes, 16 to 19years
Oct.1995
Oct.1996
TOTAL
Civilian noninstitutional population .Civilian labor force
Percent of populationEmployed
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
White
Civilian noninstitutional population .Civilian labor force
Percent of populationEmployed
AgricultureNonagriculturai industries
UnemployedUnemployment rate
Not in labor force
Black
Civilian noninstitutional population .Civilian labor force
Percent of populationEmployed
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
199,192132,863
66.7125,979
3,479122,500
6,8845.2
66,329
167,327112,322
67.1107,294
3,258104,036
5,0274.5
55,005
23,35714,943
64.013,520
9813,422
1,4239.5
8,414
201,273135,015
67.1128,439
3,515124,924
6,5774.9
66,258
168,788113,830
67.4109,162
3,345105,816
4,6684.1
54,958
23,72815,370
64.813,796
10813,6891,574
10.28,358
88,02767,473
76.764,711
2,39862,313
2,7624.1
20,554
75,06157,852
77.155,7832,210
53,5732,069
3.617,209
9,3166,746
72.46,244
866,158
5027.4
2,570
88,84068,495
77.165,854
2,47863,376
2,6413.9
20,345
75,64258,687
77.656,7382,344
54,3941,949
3.316,955
9,4456,888
72.96,294
896,205
5948.6
2,557
96,48757,978
60.155,113
84754,2662,864
4.938,509
80,71748,254
59.846,192
82745,366
2,0614.3
32,463
11,7317,33362.5
6,6996
6,6936348.6
4,399
97,29058,902
60.556,179
82355,3562,723
4.638,388
81,19548,734
60.046,847
79446,054
1,8863.9
32,462
11,8827,57863.8
6,90516
6,8896738.9
4,304
14,6787,41250.5
6,154233
5,9201,25817.0
7,266
11,5496,216
53.85,319
2225,097
89714.4
5,333
2,31086437.4578
657228633.1
1,446
15,1437,61850.3
6,406214
6,1921,21215.9
7,525
11,9516,409
53.65,576
2085,368
83313.0
5,542
2,40090437.6597
359430633.9
1,497
19
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educationalattainment, sex, race, and Hispanic origin
(Numbers in thousands)
Enrollment status, educationalattainment, race, and Hispanic origin
October 1996
Civiliannoninsti-tutional
population
17,42311,7725,651
8.3759.0487,6371,411
8,7605,9922,767
4,4634,2973,682
615
8,6635,7792.883
3,9124,7513,955
796
13,8389,3244,514
6.9516,887
6,5427,2966,1651,131
2,4671.777
691
1,2131,254
1,4121,056
880176
1,8381,325
513
909929
1,118721523198
Civilian labor force
Total
8,6975,1943,503
3,4505,2474,0061.241
4,2222,5521,670
1,8202,4031,858
545
4,4742,6421,833
1,6312,8442,148
696
7,4284,4482,980
3,6273,801
2,9314,4973,4831,014
840517323
389452
379461313147
782452330
374407
327455285170
Percent ofpopulation
49.944.162.0
41.258.052.588.0
48.242.660.3
40.855.950.488.7
51.745.763.6
41.759.954.387.4
53.747.766.0
52.255.2
44.861.656.589.7
34.129.146.8
32.036.0
26.943.735.684.0
42.534.164.4
41.243.9
29.263.154.586.0
Employed
Total
7,8424,5173,325
2,9134,9293,7381,190
3,7712,1741,597
1.5122,2591,738
521
4,0712,3431,728
1,4012,6702,000
669
6,8273,9702,857
3,3093,519
2,5574,2703,288
982
656375282
292364
255401268132
668360309
332336
249419260159
Fulltime
1.539454
1,085
1741,365
640725
780221559
88692359333
759233526
85673282392
1,304375928
670634
1441,160
557603
16862
105
7890
271406675
17776
101
8988
491294088
Parttime
6,3034,0632,240
2,7393,5633,098
465
2,9911,9531,038
1,4241,5671,380
188
3,3122,1101,202
1,3161,9961,719
278
5,5243,5951,929
2,6392,885
2,4133,1102,731
379
489313176
214274
228261203
58
491283208
243248
200290220
71
Unemployed
Total
855677178
537318267
51
452378
73
30814411924
404299105
22917414826
601478123
319282
37422719532
18414342
9688
124604515
1149222
4371
78362511
Lookingfor
full-timework
1909991
891016338
936528
52411724
973463
37604614
1227151
6062
65573324
592335
3028
22372215
422914
2121
25177
11
Lookingfor
part-timework
66557887
448217205
12
359313
45
256103102
306264
42
192114102
12
479407
72
259220
309170161
8
125119
6
6660
1022323
7163
8
2150
531918
1
Percentof
laborforce
9.813.05.1
15.66.16.74.1
10.714.84.4
16.96.06.44.5
9.011.35.7
14.16.16.93.8
8.110.84.1
8.87.4
12.85.05.63.2
21.927.512.9
24.819.4
32.713.014.310.2
14.520.4
6.5
11.417.4
23.87.98.66.7
TOTAL ENROLLED
Total, 16 to 24 years16 to 19 years20 to 24 years
High schoolCollege
Full-time studentsPart-time students
Men, 16 to 24 years16 to 19 years20 to 24 years
High schoolCollege
Full-time studentsPart-time students
Women, 16 to 24 years16 to 19 years20 to 24 years
High schoolCollege
Full-time studentsPart-time students
White
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
High schoolCollege
Full-time studentsPart-time students
Black
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
High schoolCollege
Full-time studentsPart-time students
Hispanic origin
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
High schoolCollege
Full-time studentsPart-time students
See footnotes at end of table.
20
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educationalattainment, sex, race, and Hispanic origin—Continued
(Numbers in thousands)
Enrollment status, educationalattainment, race, and Hispanic origin
October 1996
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent ofpopulation
Employed
TotalFulltime
Parttime
Unemployed
Total
Lookingfor
full-timework
Lookingfor
part-timework
Percentof
laborforce
TOTAL NOT ENROLLED
Total, 16 to 24 years16 to 19 years20 to 24 years
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
Men, 16 to 24 years16 to 19 years20 to 24 years
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
Women, 16 to 24 years16 to 19 years20 to 24 years
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
White
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
Black
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
nispanic origin
Total, 16 to 24 years16 to 19 years20 to 24 years
Women
Less than a high school diplomaHigh school graduates, no collegeLess than a bachelor's degreeCollege graduates
15,0183,371
11,647
3,6426,5603,3401,477
7,5221,7245,798
1,8923,3711,613
645
7,4961,6475,849
1,7493,1891,727
831
11,9552,6279,329
6,0925,863
2,8365,1012,7471,271
2,416624
1,792
1,1011,315
6691,228
42990
2,640646
1,994
1,4061,234
1,308963303
12,2132,4249,788
2,2755,5093,0141,414
6,7591,3895,370
1,5113,0911,528
629
5,4541,0354,418
7652,4171,487
785
9,9511,9617,990
5,5974,354
1,859
4,374
2,494
1,224
1,775
386
1,389
875
900
332
970
389
84
1,929
411
1,518
1,254
676
830
776
258
81.3
71.9
84.0
62.5
84.0
90.2
95.8
80.6
92.6
79.8
91.7
94.7
97.5
72.8
62.8
75.5
43.7
75.8
86.1
94.4
83.2
74.7
85.6
91.9
74.3
65.5
85.7
90.8
96.3
73.5
62.0
77.5
79.5
49.6
79.0
90.7
93.0
73.1
63.7
76.1
89.2
54.8
63.4
80.6
85.0
10,765
1,889
8,876
1,732
4,833
2,834
1,366
5,972
1,072
4,900
1,187
2,728
1,453
604
4,793
817
3,976
545
2,106
1,381
762
9,016
1,606
7,409
5,068
3,947
1,5013,9422,3891,183
1,310223
1,087
671
16474931681
1,657328
1,330
1,089568
682675237
8,9451,3467,599
1.3613,9452,4051,234
5,319860
4,459
1,0162,4221,315
566
3,626486
3,139
3441,5231,090
7,5111,1656,346
4,5172,994
1,1993,2352,0231,054
1,048140908
561487
11358926779
1,395224
1,171
957438
57156320457
1,820542
1,277
371888429132
652211441
17130613838
1,168331837
200583291
94
1,505441
1,063
551953
302707367129
26283
179
78184
5216050
1
263104158
132131
111112336
1,448535912
54467618048
787318470
323364
7426
660218443
22031210623
935355580
528407
35843210441
465164301
236229
168221
733
27283
189
164108
148101213
1,335476858
49763216243
748290457
3053516625
587186401
1932819518
862311551
499363
324407
9438
433152281
230203
15820765
3
25273
179
15795
1429416
1135954
4643185
392712
19138
733242
2730115
734329
2943
3425113
321220
725
1014
201010
12
6753
11.922.19.3
23.912.36.03.4
11.622.98.7
21.411.84.94.1
12.121.010.0
28.812.97.12.9
9.418.17.3
9.49.3
19.29.94.23.3
26.242.421.7
27.025.4
50.522.818.83.8
14.120.312.4
13.115.9
17.813.08.1
0)
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 andcollege 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 notpresented and Hispanics are included in both the white and black populationgroups.
21
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-16. Employed and unemployed full- and part-time workers by age, sex, and race
(In thousands)
Age, sex, and race
October 1996
Employed1
Full-time workers
Total
105,0351.800
2061.595
103.2358.684
94,55182,91011,642
61.5021,081
60,4215,018
55,40248.292
7,111
43,533719
42,8143,665
39,14934,6184,531
53,087935
52,1524,252
47,90041,5486,352
35,630605
35,0253,022
32,00328,115
3,888
5,821111
5,710528
5,1824,670
512
5,90790
5.816486
5.3304.821
509
At work
35hours
ormore
93,0721,508
1671,341
91,5647,632
83,93274,0619,871
55,360913
54,4474,479
49,96743,802
6,165
37,713595
37,1173,153
33,96530,2593,705
47,871795
47,0763,826
43,25037,7525,498
30,728496
30,2322,603
27,62924,450
3,179
5,12487
5,037440
4,5974,145
452
5,22586
5.139406
4.7334,317
416
1 to 34hours foreconomic
ornoneconomic
reasons
8,82725337
2168.574
8617,7126.5121.200
4,443145
4,298451
3,8473,218
629
4,384108
4,276410
3,8663,295
571
3,804120
3,684357
3,3272,751
576
3.674100
3,574340
3,2342,750
484
48522
46370
39235736
535-536
5747941069
Notat
work
3,13639
237
3,097190
2,9072,336
571
1,69923
1,67688
1,5881,272
316
1,43716
1,421102
1,3191,064
255
1,41221
1,39269
1,3231,045
278
1,2289
1,22080
1,140915225
2122
20917
19216824
1465
14123
1189425
Part-time workers
Total
23,4044,6062,4662,140
18,7983,517
15,28111,1844,097
7,5972,1645,4331,4793,9542,2381,716
15,8062,441
13,3652,038
11,3268,9462,381
6,4861,9004,5861,2903,2961,7401,557
13,9582,136
11,8221,703
10,1197,9652.154
765181585111473368105
1,304215
1,088244845664181
At work2
Part time foreconomic
reasons
2,857230
32198
2,626584
2,0431,790
253
1,153105
1,048258790664126
1,704126
1,578325
1,2531,126
127
93479
855216639526113
1.30488
1,216237979876103
16922
14634
112107
5
31534
28275
20718621
Part timefor
noneconomicreasons
19,3364,2252,3471,878
15,1112,802
12,3098,7643,545
6.0791.9914,0881,1762,9131,4471,466
13,2572,234
11,0221,6269,3967,3172,079
5,2501,7653,4861,0382,4471,1101,338
11,8921,9809,9111,3998,5136,6351,877
54615139569
32523788
922167754149605446159
Notat
work
1.2111508664
1,061132929630299
36568
29645
251127124
84682
76487
678503175
30256
24635
210104106
76267
69567
627454173
517
438
352412
671452193332
1
Unemployed
Lookingfor
full-timework
5,179576112464
4,603949
3,6543,333
321
2,790355
2,435486
1,9491,750
199
2,389221
2,168463
1,7051.582
123
2,044252
1,792308
1,4851,312
173
1,549131
1,417294
1,1241,033
90
65193
559167391375
17
70083
617149468443
25
Lookingfor
part-timework
1,398637410227761141620464156
547341207
571499654
851296555
84471368103
40324615642
1156748
673204469
60409318
92
1006535
72821
6
1226656193732
6
TOTAL
Total, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
White
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Black
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
1 Employed persons are classified as full- or part-time workers based on their usualweekly hours at all jobs regardless of the number of hours they are at work during thereference 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.
22
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-17. Employed persons by occupation, sex, and age
(In thousands)
Occupation
Total
16 yearsand over
Oct.1995
Oct.1996
Men
16 yearsand over
Oct.1995
Oct.1996
20 yearsand over
Oct.1995
Oct.1996
Women
16 yearsand over
Oct.1995
Oct.1996
20 yearsand over
Oct.1995
Oct.1996
Total 125,979
Managerial and professional specialty 36,031Executive, administrative, and managerial 17,458
Officials and administrators, public administration 682Other executive, administrative, and managerial 12,533Management-related occupations 4,243
Professional specialty 18,573Engineers 2,025Mathematical and computer scientists 1,187Natural scientists 553Health diagnosing occupations 1,088Health assessment and treating occupations 2,806Teachers, college and university 790Teachers, except college and university 4,642Lawyers and judges 954Other professional specialty occupations 4,528
Technical, sales, and administrative support 37,327Technicians and related support 3,918
Health technologists and technicians 1,660Engineering and science technicians I 1,162Technicians, except health, engineering, and science 1,096
Sales occupations 15,106Supervisors and proprietors 4,476Sales representatives, finance and business services 2,427Sales representatives, commodities, except retail 1,525Sales workers, retail and personal services 6,571Sales-related occupations 107
Administrative support, including clerical 18,304Supervisors 689Computer equipment operators 467Secretaries, stenographers, and typists 4,017Financial records processing 2,184Mail and message distributing 1,005Other administrative support, including clerical 9,942
Service occupations 16,879Private household 812Protective service 2,242Service, except private household and protective 13,826
Food service 5,712Health service 2,347Cleaning and building service 2,934Personal service 2,832
Precision production, craft, and repair 13,665Mechanics and repairers 4,482Construction trades 5,151Other precision production, craft, and repair 4,032
Operators, fabricators, and laborers 18,336Machine operators, assemblers, and inspectors 8,024Transportation and material moving occupations 5,241
Motor vehicle operators 3,977Other transportation and material moving occupations 1,264
Handlers, equipment cleaners, helpers, and laborers 5,070Construction laborers 891Other handlers, equipment cleaners, helpers, and laborers 4,180
Farming, forestry, and fishing 3,740Farm operators and managers 1,386Other farming, forestry, and fishing occupations 2,354
128,439
37,21217,972
68313,0424,246
19,2401,9611,386
514975
2,843884
5,0351,0044,638
38,0044,0851,6761,2261,184
15,4364,5112,5931,6406,625
6718,482
668411
3,8792,283
96510,277
17,208856
2,15614,1956,0332,3753,0392,748
13,7794,5585,1824,039
18,5527,9845,4624,2041,2585,106
8644,242
3,6841,3732,311
67,850
18,7039,974
3577,7351,8828,7291,857
814403823396407
1,146705
2,178
13,1051,881
320889672
7,5632,6911,3961,1522,294
303,661
24118093
177562
2,409
6,73946
1,9104,7832,351
2821,651
499
12,4374,3055,0333,099
13,8795,0434,7333,5331,2004,104861
3,242
2,9871,0311,956
69,099
19,0739,981351
7,8121,8189,0921,787967330726428493
1,298723
2,340
13,5741,892297935660
7,8122,8031,4661,2002,329
153,86927917870
206580
2,556
6,89942
1,7795,0782,587273
1,695522
12,5024,3645,0583,080
14,0615,0074,9143,7181,1974,140
8373,303
2,9901,0581,932
64,711
18,5569,914
3577,6871,8708,6421,856
802403823396405
1,132705
2,121
12,4181,855
315875665
7,0792,6591.3751,1421,882
213,484
241173
91174549
2,257
5,86335
1,8833,9451,715
2541,548
428
12,1624,2184,9013,043
12,9474,8594,6303,4541,1763,458
7972,661
2,7661,0101,756
65,854
18,9619,945
3527,7791,8149,0161,786
963329726427489
1,289723
2,283
12,8611,856
294914647
7,3522,7731,4591,1891,916
153,653
280176
68204558
2,367
5,93033
1,7524,1461,868
2681,574
436
12,2114,2374,9523,022
13,1144,8494,8323,6411,1913,433779
2,655
2,7771,0481,729
58,129
17,3287,484325
4,7982,3619,843168373150265
2,410383
3,495249
2,350
24,2222,0361,339274423
7,5431,7851,031373
4,27777
14,643448287
3,9242,007444
7,534
10,141766332
9,0433,3612,0661,2842,333
1,228177118933
4,4572,9825094456496729
937
753355398
59,340
18,1397,990332
5,2312,42710,148
175420183249
2,416391
3,737281
2,298
24,4302,1931,379290523
7,6241,7091,128440
4,29652
14,613388233
3,8082,077384
7,722
10,309814377
9,1173,4462,1031,3432,225
1,277195124959
4,4912,9775484876196727939
694315379
55,113
17,1737,440324
4,7562,3599,733168372150265
2,407379
3,440247
2,306
22,7142,0221,329270423
6,5311,7691,003362
3,32473
14,161443280
3,8481,989428
7,174
9,042681322
8,0392,7021,9771,1942,166
1,208176111921
4,2592,89849543362
86629
837
717354363
56,179
17,9927,939332
5,1882,41910,053
175416183249
2,411386
3,682281
2,270
22,7982,1541,355285514
6,5701,6841,100433
3,30449
14,074380223
3,7022,063376
7,330
9,207744360
8,1032,7352,0161,2742,078
1,244191122931
4,2822,90353447360
84528
817
656314342
23
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-18. Employed persons by occupation, race, and sex
(Percent distribution)
Occupation and race
Total
Oct.1995
Oct.1996
Men
Oct.1995
Oct.1996
Women
Oct.1995
Oct.1996
TOTAL
Total, 16 years and over (thousands) .Percent
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Farming, forestry, and fishing
White
Total, 16 years and over (thousands) .Percent
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Farming, forestry, and fishing
Black
Total, 16 years and over (thousands) .Percent
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Farming, forestry, and fishing
125,979100.0
28.613.914.729.6
3.112.014.513.4
.61.8
11.010.814.66.44.24.03.0
107,294100.0
29.614.515.129.93.2
12.514.312.2
.61.6
10.011.213.85.94.13.83.2
13,520100.0
21.310.011.328.1
2.78.6
16.821.7
1.13.3
17.38.3
19.69.15.35.3
.9
128,439100.0
29.014.015.029.63.2
12.014.413,4
.71.7
11.110.714.46.24.34.02.9
109,162100.0
29.914.615.329.7
3.212.414.212.3
.61.6
10.111.213.85.94.23.73.2
13,796100.0
20.49.5
10.928.42.89.0
16.722.3
1.03.0
18.27.7
20.28.35.76.21.1
67,850100.0
27.614.712.919.32.8
11.15.49.9
.12.87.0
18.320.5
7.47.06.04.4
58,528100.0
28.515.313.219.62.8
11.85.08.8
.12.66.2
18.919.47.06.85.64.7
6,520100.0
19.610.49.2
16.72.06.58.3
18.4.1
5.412.914.329.110.29.69.31.8
69,099100.0
27.614.413.219.62.7
11.35.6
10.0.1
2.67.3
18.120.3
7.27.16.04.3
59,574100.0
28.415.113.419.62.7
11.75.29.1
.12.46.6
18.719.47.06.95.54.7
6,586100.0
16.98.58.4
18.62.27.78.7
17.8.1
4.613.113.631.29.9
10.310.92.0
58,129100.0
29.812.916.941.7
3.513.025.217.41.3.6
15.62.17.75.1
.91.71.3
48,766100.0
30.913.517.442.3
3.513.425.416.31.2.5
14.71.97.04.5
.91.61.5
7,000100.0
22.89.6
13.238.73.4
10.624.724.82.01.3
21.42.8
10.88.01.21.6.1
59,340100.0
30.613.517.141.2
3.712.824.617.41.4.6
15.42.27.65.0
.91.61.2
49,588100.0
31.614.017.641.8
3.713.224.916.1
1.3.5
14.32.07.14.6
.91.61.3
7,210100.0
23.510.413.137.33.2
10.223.926.3
1.91.5
22.92.3
10.26.81.52.0
.3
24
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-19. Employed persons by industry and occupation
(In thousands)
Industry
October 1996
Totalem-
ployed
Managerial andprofessional
specialty
Executive,adminis-trative,
andmana-gerial
Professional
specialty
Technical, sales, andadministrative
support
Techni-ciansand
relatedsupport
Sales
Adminis-trative
support,includingclerical
Serviceoccupations
Privatehouse-
hold
Otherservice1
Preci-sion
produc-tion,craft,and
repair
Operators,fabricators,
and laborers
Machineoper-ators,
assem-blers,and
inspec-tors
Transpor-tationand
materialmoving
Handlers,equipmentcleaners,helpers,
andlaborers
Farming,forestry,
andfishing
AgricultureMiningConstructionManufacturing
Durable goodsNondurable goods
Transportation and publicutilities
Wholesale and retail tradeWholesale tradeRetail trade
Finance, insurance, andreal estate
ServicesPrivate householdsOther service industries .,
Professional services....Public administration
3,515567
8,13320,80312,4218,382
8,93826,743
5,01221,731
8,06845,915
1,02344,89130,5385,758
10885
1,2422,8571,6941,163
1,1332,459592
1,867
2,1966,620
46,6163,9701,272
8937178
1,9051,279626
52354395
448
29814,688
1214,67512,919
979
411738623406217
37316443121
1532,462
22,4612,042213
191545818330488
26111,0392,0588,981
2,1101,110
21,10818420
16937439
2,0691,149920
2,3822,352757
1,595
2,7266,965
46,9615,0981,342
856856
39102024114596
2195,097
525,046
3008,835
768,7595,3261,591
27212
4,5513,8882,7441,144
1,2501,459322
1,137
1622,036
112,025382195
142195
6,4803,6772,803
125357139218
6861
186116423
43110560736406330
2,1931,188
497691
11570
256931150
820
9441,076
498579
4721,982
3881,595
3752320
5048142
2,9583
211089217
61017031
6738734
3536131
1 Includes protective service, not shown separately.
25
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-20. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker
(In thousands)
Age and sex
October 1996
Agriculture
Wageand
salaryworkers
Self-employedworkers
Unpaidfamily
workers
Nonagricultural industries
Wage and salary workers
Total
Private industries
TotalPrivate
householdworkers
Otherprivate
industries
Government
Self-employedworkers
Unpaidfamily
workers
Total, 16 years and over....16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Men, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Women, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
1,8491788197
24051145822914984
1,4211416378
19540032817611665
42738182045
110130533218
1,59722156
51256339323289317
1,19722157
49195266230185250
400
2617394
10467
69144
10
204
128
10
3312471
11
28
353
94
12
115,7496,1112,5343,577
11,67529,96032,08722,96010,2652,690
60,8863,0421,2601,7826,113
16,12216,87811,7775,4811,472
54,8633,0691,2741,7955,562
13,83815,21011,1834,7841,218
97,4785,8492,4763,373
10,74226,13926,45917,7548,2182,317
52,7842,9391,2341,7055,646
14,40214,4489,5324,5261,292
44,6942,9101,2421,6685,097
11,73712,0128,2223,6921,025
1,017984850
13117321119213378
1092710172612181854
907713734
10516119317512874
96,4625,7512,4283,323
10,61125,96626,24817,5628,0842,239
52,6752,9121,2231,6885,620
14,38914,4309,5154,5211,289
43,7872,8391,2051,6354,992
11,57611,8188,0473,563
950
18,270262
58204933
3,8215,6285,2062,048
373
8,1011032677
4671,7212,4302,245
956180
10,16915932
127466
2,1003,1982,9611,092
193
9,035722844
2241,6352,7812,4321,236
657
5,529266
20133934
1,6871,517
783451
3,50646222491
7011,094
915453206
14099
1130302726
7
33
7424
102
10865
4262823165
26
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-21. Persons at work in agriculture and nonagricultural industries by hours of work
Hours of work
October 1996
Thousands of persons
Allindustries Agriculture Nonagricultural
industries
Percent distribution
Allindustries
Agriculture Nonagriculturalindustries
Total, 16 years and over
1 to 34 hours1 to 4 hours5 to 14 hours15 to 29 hours30 to 34 hours
35 hours and over35 to 39 hours40 hours41 hours and over
41 to 48 hours49 to 59 hours60 hours and over
Average hours, total at workAverage hours, persons who usually work full time
124,092
30,1601,1395,128
15,0778,816
93,9338,822
43,59441,51714,92715,17311,417
39.844.0
3,369
99176
215477224
2,378177700
1,501255344902
44.451.9
120,723
29,1681,0634,912
14,6008,593
91,5558,645
42,89440,01614,67214,82910,515
39.743.8
100.0
24.3.9
4.112.17.1
75.77.1
35.133.512.012.29.2
100.0
29.42.26.414.16.6
70.65.3
20.844.57.610.226.8
100.0
24.2.9
4.112.17.1
75.87.2
35.533.112.212.38.7
NOTE: Detail on persons at work in tables A-21 through A-25 may not sumto 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 usualfull- or part-time status
(Numbers in thousands)
Reason for working less than 35 hours
October 1996
All industries
TotalUsuallywork
full time
Usuallywork
part time
Nonagricultural industries
TotalUsuallywork
full time
Usuallywork
part time
Total, 16 years and over
Economic reasonsSlack work or business conditionsCould only find part-time workSeasonal workJob started or ended during week
Noneconomic reasonsChild-care problemsOther family or personal obligationsHealth or medical limitationsIn school or trainingRetired or Social Security limit on earningsVacation or personal dayHoliday, legal or religiousWeather-related curtailmentAll other reasons
Average hours:Economic reasonsOther reasons
30,160
3,9732,0531,602
129189
26,186931
5,575744
6,8711,8413,313
133237
6,542
23.021.2
8,827
1,2761,008
78189
7,551106746
93
3,313133237
2,924
24.325.7
21,333
2,6971,0441,602
50
18,636825
4,829744
6,7781,841
3,618
22.319.4
29,168
3,8031,9491,575
102177
25,365920
5,405694
1,6743,258
133204
6,377
22.921.3
8,564
1,194952
66177
7,370106725
83
3,258133204
2,861
24.225.8
20,604
2,609998
1,57537
17,995814
4,680694
6,6161,674
3,517
22.319.5
27
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT 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
October 1996
Totalat
work
Worked 1 to 34 hours
TotalFor
economicreasons
For noneconomicreasons
Usuallyworkfull
time
Usuallyworkparttime
Worked35 hoursor more
Average hours
Totalat
work
Persons whousually work
full time
Total 16 years and over
Wage and salary workers
Mining
Construction
ManufacturingDurable goodsNondurable goods
Transportation and public utilities ,Wholesale and retail tradeFinance, insurance, and real estate
Service industriesPrivate householdsAll other industries
Public administration
Self-employed workersUnpaid family workers
1 Data not shown where base is less than 75,000.
120,723
112,081
528
6,410
19,86511,8727,993
8,20924,091
7,116
40,317990
39,3275,545
8,502140
29,168
26,420
34
1,093
2,2711,1321,139
1,2338,0321,396
11,528591
10,937833
2,66385
3,803
3,371
1
252
312113199
1771,063
97
1,421126
1,29549
432
7,370
6,843
26
486
1,186691494
5051,069
573
2,44352
2,391556
5226
17,995
16,206
8
356
774328446
5515,899
725
7,664413
7,251229
1,70979
91,555
85,661
494
5,316
17,59410,7406,853
6,97516,0605,721
28,790400
28,3904,712
5,83856
39.7
39.6
49.9
41.6
42.943.642.0
42.737.340.1
38.128.338.341.1
40.636.5
43.8
43.5
50.5
43.2
44.044.243.5
44.644.042.5
43.241.443.242.2
47.8O
28
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT 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
October 1996
Totalat
work
Worked 1 to 34 hours
TotalFor
economicreasons
For noneconomicreasons
Usuallyworkfull
time
Usuallyworkparttime
Worked35 hoursor more
Average hours
Totalat
work
Persons whousually work
full time
TOTAL
Total, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Men, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Race
White, 16 years and overMenWomen
Black, 16 years and overMenWomen
Marital status
Men, 16 years and over:Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Women, 16 years and over:Married, spouse presentWidowed, divorced, or separatedSingle (never married)
120,7236,0122,4873,525
114,71111,592
103,11989,05114,068
64,4742,9871,2271,760
61,4876,123
55,36447,574
7,790
56,2493,0251,2601,765
53,2235,468
47,75541,4786,278
102,25655,43346,823
13,2136,2336,979
40,0507,353
17,072
30,74211,48914,018
29,1684,5152,3182,197
24,6534,042
20,61116,1144,496
10,7672,1091,121
9888,6581,7556,9034,9641,939
18,4012,4061,1971,209
15,9952,287
13,70711,1502,557
25,1549,159
15,995
2,8641,1401,724
4,5161,0765,175
9,8532,9685,580
3,80328844
2443,516
7442,7712,416
355
1,70515130
1221,553
3471,2061,050
157
2,09813614
1221,962
3971,5651,366
199
2,9791,3571,622
657282376
682251772
825541732
7,37018723
1647,183
6126,5725,576
995
3,54594
589
3,451298
3,1532,620
533
3,825931875
3,733314
3,4192,956
462
6,2773,0703,207
807342465
2,198443904
2,131897798
17,9954,0412,2521,789
13,9542,686
11,2688,1223,146
5,5181,8641,087
1113,6541,1102,5441,2951,250
12,4772,1771,1651,012
10,3001,5768,7246,8271,896
15,8994,733
11,166
1,400516884
1,636382
3,500
6,8971,5304,051
91,5551,497
1691,328
90,0587,549
82,50972,937
9,572
53,707878106772
52,8294,368
48,46142,609
5,851
37,848619
63556
37,2293,181
34,04830,3273,720
77,10146,27430,828
10,3485,0935,255
35,5346,277
11,896
20,8898,5218,438
39.723.517.327.840.635.941.141.737.3
42.824.918.129.643.637.944.344.940.2
36.222.016.625.937.033.637.438.033.7
39.843.036.0
39.040.737.5
44.943.537.5
36.438.334.0
43.839.138.039.343.941.744.144.243.2
45.439.638.639.845.542.545.745.944.7
41.738.4O38.641.740.741.841.940.8
44.145.641.8
42.043.240.8
46.245.343.1
41.542.041.6
1 Data not shown where base is less than 75,000.
29
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT 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
October 1996
Totalat
work
Worked 1 to 34 hours
TotalFor
economicreasons
For noneconomicreasons
Usuallyworkfull
time
Usuallyworkparttime
Worked35 hoursor more
Average hours
Totalat
work
Persons whousually work
full time
Total, 16 years and over1
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Men, 16 years and over1
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Women, 16 years and over1
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairOperators, fabricators, and laborers
Machine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
120,541
36,02817,35418,67436,6263,943
14,82617,85716,601
8342,079
13,68813,36517,9217,7535,2324,936
64,143
18,5589,6668,892
13,1121,8347,5393,7396,704
431,7104,952
12,14613,6224,8954,7104,017
56,398
17,4707,6889,782
23,5132,1097,287
14,1189,896
791370
8,7361,2194,2982,858
522918
29,116
6,5102,3974,113
10,425875
4,3605,1896,756
498357
5,9011,8453,5811,118850
1,612
10,647
2,255906
1,3492,357259
1,309789
2,07816
2431,8191,5722,386523618
1,245
18,468
4,2551,4912,7648,067616
3,0524,4004,678482114
4,082273
1,195595233367
3,778
563224339
1,022105495421
1,0759640939371747248169330
1,683
2401091312524212090
368421
344336488104132252
2,095
323116208770633763317089319
595362591433779
7,330
2,1611,0161,1452,378280704
1,39584838142668918
1,024515211298
3,500
991466525680123325232322
1
113208803704278186240
3,830
1,170551619
1,698156379
1,16352637294601153212372658
18,008
3,7861,1572,6297,025490
3,1613,3734,832363175
4,294556
1,810356470984
5,464
1,024332693
1,42594
864467
1,38811109
1,268433
1,194141300753
12,543
2,762825
1,9365,600396
2,2972,9063,44435265
3,027123616215170230
91,425
29,51814,95714,56126,2013,06710,46612,6689,845336
1,7237,78611,52114,3406,6354,3813,324
53,496
16,3038,7607,54310,7551,5756,2302,9504,627
271,4673,13310,57411,2374,3724,0922,772
37,929
13,2156,1977,01815,4461,4934,2359,7185,218309255
4,654947
3,1032,263289551
39.7
42.644.540.837.839.139.136.434.427.942.633.642.740.641.144.036.3
42.8
45.847.344.142.442.044.039.437.4
(2)44.135.143.041.742.445.136.8
36.2
39.241.037.835.236.634.135.632.427.736.132.738.937.238.834.334.0
43.8
45.646.444.842.742.345.240.742.341.545.241.743.943.542.346.941.5
45.4
47.648.446.545.643.747.542.943.4(2)45.942.344.144.243.247.241.7
41.7
43.243.542.940.740.942.040.141.341.441.341.341.440.840.842.640.3
Excludes farming, forestry, and fishing occupations. Data not shown where base is less than 75,000.
30
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-26. Unemployed persons by marital status, race, age, and sex
Marital status, race, and age
Men
Thousands ofpersons
Oct.1995
Oct.1996
Unemploymentrates
Oct.1995
Oct.1996
Women
Thousands ofpersons
Oct.1995
Oct.1996
Unemploymentrates
Oct.1995
Oct.1996
Total, 16 years and overMarried, spouse presentWidowed, divorced, or separatedSingle (never married)
White, 16 years and over ....Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Black, 16 years and over ....Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Total, 25 years and overMarried, spouse presentWidowed, divorced, or separatedSingle (never married)
White, 25 years and over ....Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Black, 25 years and over ....Married, spouse presentWidowed, divorced, or separatedSingle (never married)
3,4741,211
4951,768
2,601975376
1,251
64113098
414
2,1661,100
484583
1,635879370386
37512193
161
3,3371,148
4311,758
2,447926335
1,186
75217387
491
2,0981,060
418620
1,599853322425
41916187
171
4.92.86.19.1
4.32.55.68.0
9.03.99.3
15.1
3.62.66.25.8
3.12.35.74.9
6.33.78.9
4.62.65.28.8
3.92.44.97.3
10.25.17.6
17.4
3.42.55.15.8
3.02.34.85.0
6.94.97.6
10.3
3,4101,328
7171,366
2,4261,090
537800
781134156492
2,2781,179
640459
1,666967478221
469115140214
3,2401,212
6531,375
2,2221,003
472747
822121156544
2,1761,064
614498
1,533875438219
505107151248
5.53.95.88.8
4.73.75.56.9
10.05.17.4
16.1
4.43.75.46.0
3.93.45.14.0
7.34.66.9
11.2
5.23.65.28.6
4.33.44.76.2
10.24.77.0
17.0
4.13.35.06.2
3.53.14.53.9
7.64.36.9
12.5
31
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-27. Unemployed persons by occupation and sex
Occupation
Thousands ofpersons
Total
Oct.1995
Oct.1996
Unemployment rates
Total
Oct.1995
Oct.1996
Men
Oct.1995
Oct.1996
Women
Oct.1995
Oct.1996
Total, 16 years and over1
Managerial and professional specialtyExecutive, administrative, and managerialProfessional specialty
Technical, sales, and administrative supportTechnicians and related supportSales occupationsAdministrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Precision production, craft, and repairMechanics and repairersConstruction tradesOther precision production, craft, and repair
Operators, fabricators, and laborersMachine operators, assemblers, and inspectorsTransportation and material moving occupationsHandlers, equipment cleaners, helpers, and laborers
Construction laborersOther handlers, equipment cleaners, helpers, and laborers
Farming, forestry, and fishing
No previous work experience16 to 19 years20 to 24 years25 years and over
6,884
839465374
1,706102746857
1,41611581
1,220
715164410141
1,394537266591180411
307
49232369
100
6,577
772444328
1,746114816816
1,2859861
1,126
134372162
1,345560216569116453
236
504336
54113
5.2
2.32.62.0
4.42.54.74.5
7.712.53.58.1
5.03.57.43.4
7.16.34.8
10.416.89.0
7.6
4.9
2.02.41.7
4.42.75.04.2
6.910.22.87.3
4.62.96.73.9
6.86.63.8
10.011.99.6
6.0
4.9
2.12.32.0
3.52.63.04.9
7.3O2.99.0
4.93.37.42.8
6.65.14.6
10.316.08.7
6.9
4.6
2.12.61.5
3.42.13.44.0
6.5(2)2.57.6
4.62.96.63.6
6.35.33.9
10.111.69.7
6.1
5.5
2.43.02.0
4.82.56.34.4
8.012.56.77.6
5.68.04.85.2
8.68.16.6
10.8(2)9.8
10.3
5.2
2.02.21.9
5.03.26.74.3
7.39.73.87.2
5.02.7
10.44.8
8.38.73.39.8(2)9.5
5.6
1 Includes a small number of persons whose last job was in the ArmedForces.
2 Data not shown where base is less than 75,000.
32
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-28. Unemployed persons by industry and sex
Industry
Thousands ofpersons
Total
Oct.1995
Oct.1996
Unemployment rates
Total
Oct.1995
Oct.1996
Men
Oct.1995
Oct.1996
Women
Oct.1995
Oct.1996
Total, 16 years and over
Nonagricultural private wage and salary workers
MiningConstruction
ManufacturingDurable goods
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery and computing equipmentElectrical machinery, equipment, and suppliesTransportation equipment
AutomobilesOther transportation equipment
Professional and photographic equipmentOther durable goods industries
Nondurable goodsFood and kindred productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsRubber and miscellaneous plastics productsOther nondurable goods industries
Transportation and public utilitiesTransportationCommunications and other public utilities
Wholesale and retail tradeWholesale tradeRetail trade
Finance, insurance, and real estateService industries
Professional servicesOther service industries
Agricultural wage and salary workersGovernment, self-employed, and unpaid family workersNo previous work experience
6,884
5,399
36606
952525
54311625398299
10350532452
42810013
1041891374816
26719771
1,616210
1,406235
1,686661
1,025
222771492
6,577
5,109
24507
912528
31331226735487
11972472767
3841452382
56732283
29019991
1,603156
1,447215
1,558615943
175789504
5.2
5.4
6.09.3
4.54.26.35.03.03.02.73.35.04.43.75.33.17.44.95.32.0
10.02.65.12.95.44.0
3.84.62.66.24.26.73.35.3
-3.58.1
10.62.6
4.9
5.0
4.17.6
4.34.24.34.92.03.15.22.24.34.85.14.43.59.54.57.83.58.3
.73.62.53.21.0
4.04.53.36.13.26.72.94.73.17.0
8.62.6
4.9
5.0
5.29.7
3.83.66.35.21.72.82.02.33.74.13.15.42.09.64.34.4
.711.52.75.61.65.64.8
3.64.52.15.43.66.12.64.93.06.6
9.52.5
4.6
4.6
3.77.9
3.53.73.93.61.93.65.31.64.14.64.94.22.98.13.16.02.85.4
.82.41.82.11.6
4.14.82.95.22.76.13.04.22.75.4
9.22.7
5.5
5.8
11.25.4
5.95.86.44.67.13.95.26.96.85.55.75.05.04.25.96.93.49.42.14.55.45.03.4
4.24.83.57.15.47.33.75.53.69.7
13.82.7
5.2
5.4
6.95.2
5.95.36.07.62.2
4.94.24.85.45.84.94.4
11.86.5
11.24.29.6
.45.14.15.4
.2
3.93.74.17.04.57.32.85.03.38.6
6.82.6
33
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-29. Unemployed persons by reason for unemployment, sex, age, and race
(Numbers in thousands)
Reason
Total,16 yearsand over
Oct.1995
Oct.1996
Men,20 yearsand over
Oct.1995
Oct.1996
Women,20 yearsand over
Oct.1995
Oct.1996
Both sexes,16 to 19
years
Oct.1995
Oct.1996
White
Oct.1995
Oct.1996
Black
Oct.1995
Oct.1996
NUMBER OF UNEMPLOYED
Total unemployedJob losers and persons who completed temporary jobs.
On temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployedJob losers and persons who completed temporary jobs
On temporary layoffNot on temporary layoff
Job leaversReentrantsNew entrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobsJob leaversReentrantsNew entrants
6,8843,104719
2,3841,686698799
2,490492
100.045.110.534.611.636.27.1
2.3.61.9.4
6,5772,757649
2,1081,476632848
2,468504
100.041.99.9
32.112.937.57.7
2.0.61.8.4
2,7621,727385
1,34292541733665345
100.062.514.048.612.223.71.6
2.6.51.0.1
2,6411,648367
1,28188040232063339
100.062.413.948.512.124.01.5
2.4.5.9.1
2,8641,155264891686204361
1,224125
100.040.39.2
31.112.642.74.4
2.0.62.1.2
2,723928221707512195401
1,266129
100.034.18.1
26.014.746.54.7
1.6.72.1.2
1,258222701527676102612323
100.017.65.6
12.08.1
48.625.6
3.01.48.3
1,212181611198535
128568336
100.014.95.09.810.546.927.7
2.41.77.54.4
5,0272,403579
1,8241,318506638
1,668319
100.047.811.536.312.733.26.3
2.1.61.5.3
4,6682,010515
1,4961,076420649
1,716293
100.043.111.032.013.936.86.3
1.8.61.5.3
1,42350587
418265153121666131
100.035.56.1
29.48.5
46.89.2
3.4.8
4.5.9
1,574626
99526337189157643147
100.039.86.3
33.510.040.9
9.4
4.11.04.21.0
34
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-30. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment
(Percent distribution)
Reason, sex, and age
Total unemployed
Thousandsof persons
6,577
2,757649
2,1081,476
632848
2,468504
2,641
1,648367
1,28188040232063339
2,723
928221707512195401
1,266129
1,212
18161
1198535
128568336
Percent
100.0
100.0100.0100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0100.0100.0
October 199€>
Duration of unemployment
Less than5 weeks
34.8
35.663.327.026.428.442.631.733.3
32.3
33.961.226.125.926.539.424.80
33.6
34.260.626.024.729.541.031.230.2
43.1
57.5(1)42.942.70
55.540.435.4
5 to 14weeks
33.1
29.926.131.127.938.633.336.533.0
29.1
29.125.730.026.038.829.828.4O34.6
31.230.031.629.836.334.637.431.4
38.1
31.3O40.036.00
37.643.532.9
15 weeks and over
Total
32.1
34.510.641.945.733.024.131.933.7
38.6
37.013.143.948.134.730.746.9O
31.8
34.69.5
42.445.534.224.431.438.4
18.7
11.2O17.121.3(1)6.9
16.131.7
15 to 26weeks
14.9
16.97.2
19.922.015.012.413.913.4
16.4
17.48.6
19.921.117.312.816.1015.7
17.96.8
21.424.612.913.914.814.1
10.1
7.0(')10.715.006.99.5
13.8
27 weeksand over
17.2
17.63.4
22.023.718.011.717.920.2
22.2
19.64.4
24.027.017.517.930.80
16.1
16.72.7
21.021.021.210.416.624.3
8.7
4.2O6.46.3
0
6.617.9
Total, 16 years and over
Job losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
Men, 20 years and over
Job losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
Women, 20 years and over
Job losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
Both sexes, 16 to 19 years
Job losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
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 weeks5 to 14 weeks
5 to 10 weeks11 to 14 weeks
15 weeks and over15 to 26 weeks27 weeks and over
27 to 51 weeks52 weeks and over
Averaae (mean) duration in weeksMedian duration in weeks
Total
Thousands of persons
Oct.1995
6,884
2,5292,2571,600
6572,099
9521,147
474673
16.27.9
Oct.1996
6,577
2,2912,1741,539
6352,112
9821,130
491639
16.78.1
Percent distribution
Oct.1995
100.0
36.732.823.29.5
30.513.816.76.99.8
Oct.1996
100.0
34.833.123.49.7
32.114.917.27.59.7
Full-time workers
Thousands of persons
Oct.1995
5,356
1,7401,7801,221
5591,836
8131,023
452571
17.89.1
Oct.1996
5,179
1,6431,6681,129
5391,668
8671,001
456545
18.19.5
Percent distribution
Oct.1995
100.0
32.533.222.810.434.315.219.18.4
10.7
Oct.1996
100.0
31.732.221.810.436.116719.38.8
10.5
35
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment
Sex, age, race, andmarital status
October 1996
Thousands of persons
Total than5 weeks
5 to 14weeks
15 weeks and over
Total15 to 26weeks
27 weeksand over
Weeks
Average(mean)duration
Medianduration
TOTAL
Total, 16 years and over16 to 19 years20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Men, 16 years and over16 to 19 years20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Women, 16 years and over16 to 19 years20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Race
White, 16 years and overMenWomen
Black, 16 years and overMenWomen
Marital status
Men, 16 years and over:Married, spouse presentWidowed, divorced, or separated ...Single (never married)
Women, 16 years and over:Married, spouse presentWidowed, divorced, or separated ...Single (never married)
6,5771,2121,0901,5791,421
796333145
3,33769654374466943317479
3,24051654783575236415966
4,6682,4472,222
1,574752822
1,148431
1,758
1,212653
1,375
2,291523388553468225
7162
1,148296195282208953933
1,1432271942712601303329
1,703855848
473235238
360127661
439217488
2,1744624055344292229229
1,0492791972301821064213
1,1251832093042471165016
1,582799782
486218268
316115618
433208484
2,11222729749152535016953
1,1401211522322792329333
9721061452602461187621
1,383792591
614298316
472189479
341228403
9821221562342411475923
4946274
102119992117
4886082
1321224838
6
641347294
280129150
19872
225
161107220
1,13010514125728320311031
6465978
1301591337215
4844663
128124703815
742445297
334169165
275118254
180121183
16.710.813.716.019.122.426.320.5
18.010.614.916.621.324.733.119.4
15.411.012.515.517.119.718.921.8
15.617.313.8
19.519.719.3
19.924.715.1
14.918.814.3
8.15.77.78.09.1
11.815.07.4
8.65.77.97.7
10.816.417.89.2
7.55.77.58.27.78.0
13.4
0
7.38.36.3
10.410.310.6
10.611.47.3
6.59.07.8
Data not shown where base is less than 75,000.
36
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-33. Unemployed persons by occupation, industry, and duration of unemployment
Occupation and industry
October 1996
Thousands of persons
TotalLessthan
5 weeks
5 to 14weeks
15 weeks and over
Total15 to 26weeks
27 weeksand over
Weeks
Average(mean)
duration
Medianduration
OCCUPATION
Managerial and professional specialtyTechnical, sales, and administrative supportService occupationsPrecision production, craft, and repairOperators, fabricators, and laborersFarming, forestry, and fishing
INDUSTRY1
AgricultureConstructionManufacturing
Durable goodsNondurable goods
Transportation and public utilitiesWholesale and retail tradeFinance, insurance, and real estateServicesPublic administration
No previous work experience
7721,7461,285
6681,345
236
175524920535384338
1,614227
1,802166
504
212652435239496
79
4423133018514514457166
60142
168
25759245819840192
84150270157113895927359449
166
30350239223144764
4714331919312610545188
60675
170
1512491758820743
304915810355472345129920
68
15225321814324121
1794161907158
2173730755
102
18.615.416.417.917.013.3
13.414.316.917.116.515.214.417.917.626.4
19.0
10.16.98.09.07.97.5
9.06.18.09.16.15.87.59.28.610.4
8.5
1 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
Oct.1995
Total not in the labor forceDo 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 nowAvailable to work now
Reason not currently looking:Discouragement over job prospects3
Reasons other than discouragementFamily responsibilitiesIn school or trainingIll health or disabilityOther4
Age
Oct.1996
16 to 24years
66,32960,959
5,3703,1152,255
6681,587i
412!1,175
144312123597
66,25861,1785,0802,9802,100653
1,447
3741,07315232999
494
Oct.1995
Oct.1996
11,5839,7721,810931880249631!
1015304127418
197J
11,5329,7191,813
25 to 54years
Oct.1995
18,47715,9302,546
947 1,418865 1,129290j 364575! 765
55 yearsand over
Oct. Oct.1996 I 1995
18,04815,700
36,26935,256
83!49219
26324185
226539913876
334
2,349 1,0131,319 7661,030 247 i314 55715 191
Oct.1996 ! 1995
36,67835,759
919 2,126714 1,145205i 98148| 2301571 751
239477
63150]
2421
841107|
12
2 b66
24,120! 42,16122,144| 38,917
1.976i 3,2441,078! 1,969
1,2744381
531041122467
2485032517549254
211687
23844941172371
200!
837:
i16467211913774343
42,13839,0333,1041,9011,203
442760
13762411115762294
1 Includes some persons who are not asked if they want a job.7 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.•: 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 smallnumber for which reason for nonparticipation was not ascertained.
37
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-35. Multiple jobholders by selected demographic and economic characteristics
(Numbers in thousands)
Characteristic
Both sexes
Number
Oct.1995
Oct.1996
Rate1
Oct.1995
Oct.1996
Men
Number
Oct.1995
Oct.1996
Rate1
Oct.1995
Oct.1996
Women
Number
Oct.1995
Oct.1996
Rate1
Oct.1995
Oct.1996
AGE
Total, 16 years and over2
16 to 19 years20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over55 to 64 years65 years and over
RACE AND HISPANIC ORIGIN
WhiteBlackHispanic origin
MARITAL STATUS
Married, spouse presentWidowed, divorced, or separatedSingle (never married)
FULL- OR PART-TIME STATUS
Primary job full time, secondary job part time....Primary and secondary jobs both part timePrimary and secondary jobs both full timeHours vary on primary or secondary job
7,970316
7,654807
6,8476,162
685563121
7,016705446
4,5941,3072,068
4,5051,860
2911,274
8,369292
8,077887
7,1906,456
733598135
7,338729449
4,8021,3972,170
4,5321,878
2771,640
6.35.16.46.66.46.74.44.83.2
6.55.23.9
6.16.86.5
6.54.66.67.36.56.94.75.03.6
6.75.33.7
6.37.06.6
4,328135
4,193403
3,7903,448
34227370
3,808382248
2,824430
1,074
2,709603227769
4,376106
4,270420
3,8503,445
40432679
3,867371253
2,885468
1,022
2,603564193984
6.44.36.56.26.57.04.04.23.2
6.55.93.6
6.65.66.1
6.33.36.56.56.56.84.65.03.5
6.55.63.5
6.75.95.6
3,641181
3,461404
3,0572,714
34329152
3,208323198
1,770877995
3,993186
3,807467
3,3403,011
329272
57
3,471357196
1,916929
1,148
6.36.06.37.16.26.45.05.53.2
6.64.64.3
5.57.67.1
1,796! 1,9291,257
64504
1,31484
656
6.75.96.88.26.66.94.85.03.7
7.05.04.1
5.87.77.9
1 Multiple jobholders as a percent of all employed persons in specifiedgroup.
2 Includes a small number of persons who work part time on their primaryjob and full time on their secondary jobs(s), not shown separately.
NOTE: Detail for the above race and Hispanic-origin groups will not sum tototals because data for the "other races" group are not presented andHispanics 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 statusand age
Civilian jnoninstitutionai j
population
Civilian labor force
Oct.1995
Oct.1996
Total
Oct.1995
Oct.1996
Employed
Oct.1995
Oct.1996
Unemployed
Number
Oct.1995
Oct.1996
Percent oflabor force
Oct.1995
Oct.1996
VIETNAM-ERA VETERANS
Total, 40 years and over40 to 54 years
40 to 44 years45 to 49 years50 to 54 years
55 years and over
NONVETERANS
Total, 40 to 54 years40 to 44 years45 to 49 years50 to 54 years
7,6286,5151,3813,2221,9121,113
17,6498,2785,3704,001
7,7606,4601,1753,0112,2741,300
18,6138,6885,9094,017
6,5565,9031,2572.9391,707
653
15,8827,6464,8213,416
6,6295,8411,0692,7152,057
788
16,9098,0935,3773,438
6.3745,7321,2122,8621,659
642
15,3537,3864,6823,284
6,4495,6821,0462,6342,002
766
16,3807,8485.2083,324
18317145784812
529260139131
18015923815522
529246169114
2.82.93.62.72.81.8
3.3342.93.8
2.72.72.13.02.72.8
3.13.03,13.3
NOTE: Male Vietnam-era veterans are men who served in the ArmedForces between August 5, 1964 and May 7, 1975. Nonveterans are men who
have never served in the Armed Forces.
38
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHISTORICAL EMPLOYMENT
B-1. Employees on nonfarm payrolls by major industry, 1946 to date
(In thousands)
Yearand
monthTotal Total
private
Goods-producing
Total Mining Construc-tion
Manufac-turing
Service-producing
Total
Transpor-tationand
publicutilities
Whole-saletrade
Retailtrade
Finance,insurance,
andreal
estate
Services
Government
Federal State Local
Annual averages
1946 .1947 .1948 .1949 .
1950 .1951 .1952 .1953 .1954 .1955 .1956 .1957 .1958 .19592
1960 .1961 .1962 .1963 .1964 .1965 .1966 .1967 .1968 .1969 .
1970 .1971 .1972 .1973 .1974 .1975 .1976 .1977 .1978 .1979 .
1980 .1981 .1982 .1983 .1984 .1985 .1986 .1987 .1988 .1989 .
1990 .1991 .1992 .1993 .1994 .1995 .
1095:OctoberNovemberDecember
1996:JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptember*OctoberP
41,65243,85744,86643,754
45,19747,81948,79350,20248,99050,64152,36952,85551,32253,270
54,18953,99955,54956,65358,28360,76363,90165,80367,89770,384
70,88071,21173,67576,79078,26576,94579,38282,47186,69789,823
90,40691,15289,54490,15294,40897,38799,344101,958105,210107,895
109,419108,256108,604110,730114,172117,203
117,749117,899118,136
118,070118,579118,750118,922119,332119,537119,772120,052120,017120,227
36,05638,38239,21637,897
39,17041,43042,18543,55642,23843,72745,09145,23943,48345,186
45,83645,40446,66047,42948,68650,68953,11654,41356,05858,189
58,32558,33160,34163,05864,09562,25964,51167,34471,02673,876
74,16675,12173,70774,28278,38480,99282,65184,94887,82490,117
91,11589,85489,95991,88995,04497,892
17,24818,50918,77417,565
18,50619,95920,19821,07419,75120,51321,10420,96719,51320,411
20,43419,85720,45120,64021,00521,92623,15823,30823,73724,361
23,57822,93523,66824,89324,79422,60023,35224,34625,58526,461
25,65825,49723,81223,33024,71824,84224,53324,67425,12525,254
24,90523,74523,23123,35223,90824,206
862955994930
901929
791792822828751732
712672650635634632627613606619
623609628642697752779813851958
1,0271,1391,128952966927777717713692
709689635610601580
1,6832,0092,1982,194
2,3642,6372,6682,6592,6462,8393,0392,9622,8173,004
2,9262,8592,9483,0103,0973,2323,3173,2483,3503,575
3,5883,7043,8894,0974,0203,5253,5763,8514,2294,463
4,3464,1883,9043,9464,380
4,8104,9585,0985,171
5,1204,6504,492
5,158
14,70315,54515,58214,441
15,24116,39316,63217,54916,31416,88217,24317,17615,94516,675
16,79616,32616,85316,99517,27418,06219,21419,44719,78120,167
19,36718,62319,15120,15420,07718,32318,99719.68220,50521,040
20,28520,17018,78018,43219,37219,24818,94718,99919,31419,391
19,07618,40618,10418,07518,32118,468
24,40425,34826,09226,189
26,69127,86028,59529,12829,23930,12831,26431,88931,81132,857
33,75534,14235,09836,01337,27838,83940,74342,49544,15846,023
47,30248,27650,00751,89753,47154,34556,03058,12561,11363,363
64,74865,65565,73266,821
72,54474,81177,28480,08682,642
84,51484,51185,37387,37890,26492,997
4,0614,1664,1894,001
4,0344,2264,2484,2904,0844,1414,2444,2413,9764,011
4,0043,9033,9063,9033,9514,0364,1584,2684,3184,442
4,5154,4764,5414,6564,7254,5424,5824,7134,9235,136
5,1465,1655,0814,9525,1565,2335,2475,3625,5145,625
5,7935,7625,7215,8295,9936,165
2,2982,4782,6122,610
2,6432,7352,8212,8622,8752,9343,0273,0372,9893,092
3,1533,1423,2073,2583,3473,4773.6083,7003,7913,919
4,0064,0144,1274,2914,4474,4304,5624,7234,9855,221
5,2925,3755,2955,2835,5685,7275,7615,8486,0306,187
6,1736,0815,9975,9816,1626,412
6,0776,4776,6596,654
6,7437,0077,1847,3857,3607,6017,8317,8487,7618,035
8,2388,1958,3598,5208,8129,2399,6379,906
10,30810.785
11,03411,33811,82212,31512,53912,63013,19313,79214,55614,972
15,01815,17115,15815,58716,51217,31517,88018,42219,02319,475
19,60119,28419,35619,77320,50721,173
1,6751,7281,8001,828
1,8881,9562,0352.1112,2002,2982,3892,4382,4812,549
2,6282,6882,7542,8302,9112,9773,0583,1853.3373,512
3,6453,7723,9084,0464,1484,1654,2714,4674,7244,975
5,1605,2985,3405,4665,6845,9486,2736,5336,6306,668
6,7096,6466,6026,7576,8966,830
4,6975,0255,1815,239
5,3565,5475,6995,8355,9696,2406,4976,7086,7657,087
7,3787,6197,9828,2778,6609,0369,498
10,04510,56711,169
11,54811,79712,27612,85713,44113,89214,55115,30216,25217,112
17,89018,61519,02119,66420.74621.92722,95724,11025,50426.907
27,93428,33629,05230.19731.57933.107
2,2541,8921,8631,908
1,9282,3022,4202,3052,1882,1872,2092,2172,1912,233
2,2702,2792,3402,3582,3482,3782,5642,7192,7372,758
2,7312,6962,6842,6632,7242,7482,7332,7272,7532.773
2.8662,7722,7392,7742,8072,8752,8992,9432,9712,988
3,0852,9662,9692,9152,8702,822
OOO00
1,3281,4151,484
1,5361,6071,6681,7471,8561,9962,1412,3022,4422,533
2,6642,7472,8592,9233,0393.1793,2733.3773.4743.541
3,6103.6403,6403,6623,7343,8323,8933,9674,0764,182
4,3054,3554,4084,4884,5764,642
Monthly data, seasonally adjusted
98,41098,56198,789
98,73499,21499,35699,52799,873100,091100,288100,446100,478100,728
24,15124,13324,160
24,11224.25424,19624,20924,26324,27424,26424,29824,24524,262
573569570
569573574573576575570570568569
5,2005,2115,223
5,2345,3495,3415,3535,3845,4015,4275,4375,4455,455
18,37818,35318,367
18,30918,33218,28118,28318,30318,29818,26718,29118,23218,238
93,59893,76693.976
93,95894,32594,55494,71395,06995,26395,50895,75495,77295,965
6,2126,2336,249
6,2546,2706,2926,2946.3096,3296,3336,3426,3306,337
6,4656,4786,498
6,5126,5296,5486,5506,5676,5756,5856,6036,6136,632
21,26321.30021,334
21,26821,34021.35021,41521,48521,56821,67121,67221,69921,761
6,8716,887
6,8946,9196,9316,9426,9646,9676,9876,9997,0037,029
33,46033,54633,661
33,69433,90234,03934,11734,28534,37834,44834,53234,58834,707
2,8012.7962,790
2,7832,7802,7802,7762,7762,7562,7522,7392,7412,733
4,6364,6344,634
4,6254.6364,6394,6434.6554.6544,6594,6744,6774,648
V)V)0V)
0V)O(1)0
4,0714,2304,366
4,5474,7084,8815,1215,3925,7006,0806,3716.6606.904
7,1587,4377,7908,1468,4078,7588,8659,0239,4469,633
9,765
9,4589,4349,4829,6879,901
10,10010,33910,609
10,91411,08111,26711,43811,68211.847
11,90211,90811,923
11,92811,94911,97511,97612,02812,03612,07312,19312.12112,118
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 benchmarkmonth.
P = preliminary.
NOTE: Establishment survey estimates are currently projected from March 1995benchmark levels. When more recent benchmark data are introduced, all unadjusteddata (beginning April 1995) and all seasonally adjusted data (beginning January1992) are subject to revision.
39
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarmpayrolls by major industry, 1964 to date
Year andmonth
1964196519661967 .19681969
1970 .. . . ...197119721973197419751976197719781979
1980198119821983198419851986198719881989
199019911992199319941995
1995:OctoberNovemberDecember
1996:JanuaryFebruaryMarchAprilMay .. .JuneJulyAugustSeptember*October**
Total private1
Weeklyhours
Hourlyearnings
Weeklyearnings
Mining
Weeklyhours
Hourlyearnings
Weeklyearnings
Weeklyhours
Construction
Hourlyearnings
Weeklyearnings
Annual averages
38.738.838.638.037.837.7
37.136.937.036.936.536.136.136.035.835.7
35.335.234.835.035.234.934.834.834.734.6
34.534.334.434.534.734.5
$2.362.462.562.682.853.04
3.233.453.703.944.244.534.865.255.696.16
6.667.257.688.028.328.578.768.989.289.66
10.0110.3210.5710.8311.1211.44
34.734.434.5
33.434.134.234.134.334.934.634.834.934.5
$11.6011.5911.61
11.7111.6911.6911.7511.7311.7611.7411.7711.9611.95
$91.3395.4598.82
101.84107.73114.61
119.83127.31136.90145.39154.76163.53175.45189.00203.70219.91
235.10255.20267.26280.70292.86299.09304.85312.50322.02334.24
345.35353.98363.61373.64385.86394.68
I
$402.52398.70400.55
391.11398.63399.80400.68402.34410.42406.20409.60417.40412.28
41.942.342.742.642.643.0
42.742.442.642.441.941.942.443.443.443.0
43.343.742.742.543.343.442.242.442.343.0
44.144.443.944.344.844.7
Monthly data
45.444.845.0
43.845.145.044.945.246.044.845.345.946.0
$2.812.923.053.193.353.60
3.854.064.444.755.235.956.466.947.678.49
9.1710.0410.7711.2811.6311.9812.4612.5412.8013.26
13.6814.1914.5414.6014.8815.30
, not seasor
$15.3415.3515.54
15.6315.6215.5115.5515.4415.5715.5315.5115.7215.52
$117.74123.52130.24135.89142.71154.80
164.40172.14189.14201.40219.14249.31273.90301.20332.88365.07
397.06438.75459.88479.40503.58519.93525.81531.70541.44570.18
603.29630.04638.31646.78666.62683.91
ally adjustec
$696.44687.68699.30
684.59704.46697.95698.20697.89716.22695.74702.60721.55713.92
37.237.437.637.737.337.9
37.337.236.536.836.636.436.836.536.837.0
37.036.936.737.137.837.737.437.837.937.9
38.238.138.038.538.938.8
i
40.138.638.1
36.738.138.138.638.839.639.839.839.739.8
$3.553.703.894.114.414.79
5.245.696.066.416.817.317.718.108.669.27
9.9410.8211.6311.9412.1312.3212.4812.7113.0813.54
13.7714.0014.1514.3814.7315.08
$15.3415.2415.13
15.2415.1415.1315.1915.2715.3215.4815.5515.7515.74
$132.06138.38146.26154.95164.49181.54
195.45211.67221.19235.89249.25266.08283.73295.65318.69342.99
367.78399.26426.82442.97458.51464.46466.75480.44495.73513.17
526.01533.40537.70553.63573.00585.10
$615.13588.26576.45
559.31576.83576.45586.33592.48606.67616.10618.89625.28626.45
See footnotes at end of table.
40
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarmpayrolls by major industry, 1964 to date—Continued
Year andmonth
Manufacturing
Weeklyhours
Hourlyearnings
Hourlyearnings,excludingovertime
Weeklyearnings
Transportation and publicutilities
Weeklyhours
Hourlyearnings
Weeklyearnings
Wholesale trade
Weeklyhours
Hourlyearnings
Weeklyearnings
Annual averages
196419651966196719681969
1970197119721973197419751976197719781979
1980198119821983198419851986198719881989
199019911992199319941995
40.741.241.440.640.740.6
39.839.940.540.740.039.540.140.340.440.2
39.739.838.940.140.740.540.741.041.141.0
40.840.741.041.442.041.6
1995:OctoberNovember .December .
1996:JanuaryFebruary ....MarchAprilMayJuneJulyAugustSeptember*October"....
41.741.942.0
39.841.341.341.241.641.941.141.842.341.9
$2.532.612.712.823.013.19
3.353.573.824.094.424.835.225.686.176.70
7.277.998.498.839.199.549.739.91
10.1910.48
10.8311.1811.4611.7412.0712.37
$2.432.502.592.712.883.05
3.233.453.663.914.254.675.025.445.916.43
7.027.728.258.528.829.169.349.489.73
10.02
10.3710.7110.9511.1811.4311.74
$102.97107.53112.19114.49122.51129.51
133.33142.44154.71166.46176.80190.79209.32228.90249.27269.34
288.62318.00330.26354.08374.03386.37396.01406.31418.81429.68
441.86455.03469.86486.04506.94514.59
41.141.341.240.540.640.7
40.540.140.440.540.239.739.839.940.039.9
39.639.439.039.039.439.539.239.238.838.9
38.938.738.939.639.939.5
$2.893.033.113.233.423.63
3.854.214.655.025.415.886.456.997.578.16
8.879.70
10.3210.7911.1211.4011.7012.0312.2612.60
12.9713.2213.4513.6213.8614.23
$118.78125.14128.13130.82138.85147.74
155.93168.82187.86203.31217.48233.44256.71278.90302.80325.58
351.25382.18402.48420.81438.13450.30458.64471.58475.69490.14
504.53511.61523.21539.35553.01562.09
40.740.840.740.340.140.2
39.939.439.439.238.838.638.738.838.838.8
38.438.538.338.538.538.438.338.138.138.0
38.138.138.238.238.438.3
$2.522.602.732.873.043.23
3.433.643.854.074.384.725.025.395.886.39
6.957.558.088.548.889.159.349.599.98
10.39
10.7911.1511.3911.7412.0612.43
Monthly data, not seasonally adjusted
$12.4312.4912.60
12.6612.5712.5412.7312.7112.7512.7912.7912.9012.84
$11.7811.8311.93
12.0611.9711.9412.1112.0812.1012.1612.1112.1712.16
$518.33523.33529.20
503.87519.14517.90524.48528.74534.23525.67534.62545.67538.00
39.739.539.6
38.539.439.539.239.340.139.840.140.440.0
$14.4614.4614.44
14.4514.4514.4414.4914.4314.4714.5114.5514.6214.60
$574.06571.17571.82
556.33569.33570.38568.01567.10580.25577.50583.46590.65584.00
38.538.238.3
37.638.038.138.138.238.838.138.438.638.3
$12.5512.5312.61
12.6512.6612.6712.7612.7212.8512.8012.8212.9912.89
$102.56106.08111.11115.66121.90129.85
136.86143.42151.69159.54169.94182.19194.27209.13228.14247.93
266.88290.68309.46328.79341.88351.36357.72365.38380.24394.82
411.10424.82435.10448.47463.10476.07
$483.18478.65482.96
475.64481.08482.73486.16485.90498.58487.68492.29501.41493.69
See footnotes at end of table.
41
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarmpayrolls by major Industry, 1964 to date—Continued
Year andmonth
Retail trade
Weeklyhours
Hourlyearnings
Weeklyearnings
Finance, insurance,and real estate
Weeklyhours
Hourlyearnings
Weeklyearnings
Services
Weeklyhours
Hourlyearnings
Weeklyearnings
Annual averages
196419651966196719681969
1970197119721973197419751976197719781979
1980198119821983198419851986198719881989
199019911992199319941995
1995:OctoberNovember .December .
1996:JanuaryFebruary ....MarchAprilMayJuneJulyAugustSeptember"October
37.036.635.935.334.734.2
33.833.733.433.132.732.432.131.631.030.6
30.230.129.929.829.829.429.229.229.128.9
28.828.628.828.828.928.8
$1.751.821.912.012.162.30
2.442.602.752.913.143.363.573.854.204.53
4.885.255.485.745.855.946.036.126.316.53
6.756.947.127.297.497.69
$64.7566.6168.5770.9574.9578.66
82.4787.6291.8596.32102.68108.86114.60121.66130.20138.62
147.38158.03163.85171.05174.33174.64176.08178.70183.62188.72
194.40198.48205.06209.95216.46221.47
37.337.237.337.137.037.1
36.736.636.636.636.536.536.436.436.436.2
36.236.336.236.236.536.436.436.335.935.8
35.835.735.835.835.835.9
$2.302.392.472.582.752.93
3.073.223.363.533.774.064.274.544.895.27
5.796.316.787.297.637.948.368.739.069.53
9.9710.3910.8211.3511.8312.33
$85.7988.9192.1395.72
101.75108.70
112.67117.85122.98129.20137.61148.19155.43165.26178.00190.77
209.60229.05245.44263.90278.50289.02304.30316.90325.25341.17
356.93370.92387.36406.33423.51442.65
36.135.935.535.134.734.7
34.433.933.933.833.633.533.333.032.832.7
32.632.632.632.732.632.532.532.532.632.6
32.532.432.532.532.532.4
Monthly data, not seasonally adjusted
28.828.629.0
27.528.228.528.428.729.429.429.529.128.8
$7.777.787.80
7.897.877.907.927.927.977.927.958.068.12
$223.78222.51226.20
216.98221.93225.15224.93227.30234.32232.85234.53234.55233.86
36.435.635.7
35.535.735.735.635.636.535.535.736.535.4
$12.5312.4912.57
12.6212.7112.7412.7612.7512.7612.6912.7212.8912.86
$456.09444.64448.75
448.01453.75454.82454.26453.90465.74450.50454.10470.49455.24
32.632.332.3
31.832.232.232.232.232.832.532.732.632.3
$1.942.052.172.292.422.61
2.813.043.273.473.754.024.314.654.995.36
5.856.416.927.317.597.908.188.498.889.38
9.8310.2310.5410.7811.0411.39
$11.5411.5711.66
11.7311.7211.7211.7211.6811.6711.6211.6411.9011.92
$70.0373.6077.0480.3883.9790.57
96.66103.06110.85117.29126.00134.67143.52153.45163.67175.27
190.71208.97225.59239.04247.43256.75265.85275.93289.49305.79
319.48331.45342.55350.35358.80369.04
$376.20373.71376.62
373.01377.38377.38377.38376.10382.78377.65380.63387.94385.02
1 Data relate to production workers in mining andmanufacturing; construction workers in construction; andnonsupervisory 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 1995 benchmark levels. When more recentbenchmark data are introduced, all unadjusted data from April1995 forward are subject to revision.
42
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major Industry and selected component groups, seasonally adjusted
(In thousands)
Industry1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.1
Total
Total private
Goods-producing
MiningMetal miningCoal miningOil and gas extractionNonmetallic minerals, except fuels
ConstructionGeneral building contractorsHeavy construction, except buildingSpecial trade contractors
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steelproducts
Fabricated metal productsIndustrial machinery and equipment...
Computer and office equipmentElectronic and other electrical
equipmentElectronic components and
accessoriesTransportation equipment
Motor vehicles and equipmentAircraft and parts
Instruments and related productsMiscellaneous manufacturing
Nondurable goodsFood and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics products ....Leather and leather products
Service-producing
Transportation and public utilitiesTransportation
Railroad transportationLocal and interurban passenger
transitTrucking and warehousingWater transportationTransportation by airPipelines, except natural gasTransportation services
Communications and public utilitiesCommunicationsElectric, gas, and sanitary services ....
Wholesale tradeDurable goodsNondurable goods
See footnotes at end of table.
117,749
98,410
24,151
57351
104312106
5,2001,198
7553,247
18,378
10,631762504536708
2401,4392,075
355
1,637
5961,751
966421832387
7,7471,676
42655901688
1,5381,031
142971103
93,598
6,2123,947
236
4311,872
173802
14419
2,2651,352
913
6,4653,7782,687
117,899 118,136
98,561
24,133
56950103309107
5,2111,200751
3,260
18,353
10,628762504535710
2411,4412,079356
1,640
6001,737958417830390
7,7251,676
42652891686
1,5371,030140969102
93,766
6,2333,964236
4331,87817480814
4212,2691,358911
6,4783,7882,690
98,789
24,160
57051102310107
5,2231,202750
3,271
18,367
10,667763506534709
2401,4412,084357
1,645
6051,764959446831390
7,7001,674
41649883685
1,5351,025140967101
93,976
6,2493,977237
4361,87417282014
4242,2721,362910
6,4983,8022,696
118,070
98,734
24,112
56951101310107
5,2341,205741
3,288
18,309
10,643750503532709
2401,4422,085357
1,646
6091,757956446831388
7,6661,672
41640868684
1,5331,02614096498
93,958
6,2543,980235
4361,87417282214
4272,2741,367907
6,5123,8142,698
118,579
99,214
24,254
57351102313107
5,3491,218764
3,367
18,332
10,659756502536708
2401,4432,083357
1,652
6141,759957446831389
7,6731,675
41644873682
1,5311,02514096399
94,325
6,2703,994234
4391,87917182714
4302,2761,371905
6,5293,8262,703
118,750
99,356
24,196
57451101314108
5,3411,223770
3,348
18,281
10,623755500536706
2391,4422,087358
1,651
6141,726926445832388
7,6581,675
41642862681
1,5311,02714096099
94,554
6,2924,011233
4421,88417183514
4322,2811,378903
6,5483,8412,707
118,922
99,527
24,209
57351101314107
5,3531,227765
3,361
18,283
10,654761498534704
2381,4402,086358
1,650
6151,763955447832386
7,6291,667
41636858677
1,5271,02413996298
94,713
6,2944,015233
4421,88217383714
4342,2791,378901
6,5503,8442,706
119,332
99,873
24,263
57652101316107
5,3841,229764
3,391
18,303
10,679762500537705
2391,4422,087360
1,652
6141,774968449834386
7,6241,665
41637853679
1,5261,02413996397
95,069
6,3094,027232
4501,89116783614
4372,2821,384898
6,5673,8502,717
119,537
100,091
24,274
57552101314108
5,4011,232768
3,401
18,298
10,696767500536708
2391,4502,088359
1,651
6141,775967446835386
7,6021,647
41637847676
1,5281,02014096997
95,263
6,3294,045231
4541,89117184414
4402,2841,388896
6,5753,8572,718
119,77:
100,288
24,264
57052100310108
5,4271,231769
3,427
18,267
10,680764500535700
2371,4542,088357
1,656
6161,766950453832385
7,5871,640
40637849672
1,5271,01913996896
95,508
6,3334,051229
4581,88817284814
4422,2821,391891
6,5853,8622,723
120,052
100,446
24,298
570
5299311108
5,4371,23;770
3,435
18,291
10,711769499536706
2371,4562,089359
1,654
6151,784967454833385
7,5801,641
39633837673
1,5271,02113997694
95,754
6,3424,056230
4631,88217385014
4442,2861,398888
6,6033,8712,732
120,017
100,478
24,245
568
5;98
310108
5,4451,233764
3,448
18,232
10,676766500536704
2371,4582,078357
1,649
6111,771959456831383
7,5561,633
40631836673
1,5241,01713897193
95,772
6,3304,045232
4541,87517085414
4462,2851,398887
6,6133,8742,739
120,227
100,728
24,262
5299310108
5,4551,234761
3,460
18,238
10,674770499538702
2341,4602,084357
1,646
6101,761945462832382
7,5641,637
40632831674
1,5281,02013797293
95,965
6,3374,055231
4571,86917286314
4492,2821,397885
6,6323,8782,754
43
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTSEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted—Continued
(In thousands)
Industry1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.1
Retail tradeBuilding materials and garden suppliesGeneral merchandise stores
Department storesFood storesAutomotive dealers and service
stationsNew and used car dealers
Apparel and accessory storesFurniture and home furnishings stores..Eating and drinking placesMiscellaneous retail establishments
Finance, insurance, and real estateFinance
Depository institutionsCommercial banksSavings institutions
Nondepository institutionsSecurity and commodity brokersHolding and other investment offices .
InsuranceInsurance carriersInsurance agents, brokers, and
serviceReal estate
Services1
Agricultural servicesHotels and other lodging placesPersonal servicesBusiness services
Services to buildingsPersonnel supply services
Help supply servicesComputer and data processing
servicesAuto repair, services, and parkingMiscellaneous repair servicesMotion picturesAmusement and recreation servicesHealth services
Offices and clinics of medical doctorsNursing and personal care facilities....HospitalsHome health care facilities
Legal servicesEducational servicesSocial services
Child day care servicesResidential care
Museums and botanical and zoologicalgardens
Membership organizationsEngineering and management services
Engineering and architectural servicesManagement and public relations
GovernmentFederal
Federal, except Postal ServiceState
EducationOther State government
LocalEducationOther local government
21,263873
2,7002,3763,379
2,2061,0021,109
9487,3912,657
6,8593,2482,0191,464
270473525231
2,2491,546
7031,362
33,460584
1,6561,1666,900
8872,5112,221
1,1161,035
355503
1,4729,3471,6231,7073,802
641923
1,9742,352
567646
812,1262,795
821852
19,3392,8011,9534,6361,9352,701
11,9026,6295,273
21,300878
2,6812,3493,395
2,2121,0051,111
9487,4132,662
6,8713,2562,0201,465
268478526232
2,2491,546
7031,366
33,546584
1,6481,1646,922
8882,5182,226
1,1251,039
358506
1,4719,3831,6301,7123,810
645924
1,9752,355
568646
822,1332,810
824860
19,3382,7961,9464,6341,9372,697
11,9086,6415,267
21,334882
2,6742,3483,402
2,2201,0081,106
9457,4412,664
6,8873,2662,0201,465
267484528234
2,2511,546
7051,370
33,661591
1,6481,1676,963
8922,5342,239
1,1371,047
359508
1,4739,4121,6351,7153,818
650924
1,9782,360
567649
822,1362,821
825865
19,3472,7901,9394,6341,9392,695
11,9236,6495,274
21,268882
2,6512,3303,399
2,2271,0111,100
9497,4052,655
6,8943,2772,0221,467
266490529236
2,2531,547
7061,364
33,694593
1,6521,1706,942
8832,5102,216
1,1401,051
358513
1,4909,4271,6381,7183,822
6489251
1,969i2,362|
567651
832,1352,833
8258731
19,3362,7831,9304,6251,9332,692
11,9286,6465,282
21,340880
2,6742,3543,401
2,2341,0151,099
9497,4402,663
6,9193,2882,0231,467
266496531238
2,2551,547
7081,376
33,902602
1,6571,1747,026
8992,5522,254
1,1481,059
359515
1,5059,4631,6441,7223,833
653927
1,9852,372
568654
832,1372,847
827881
19,3652,7801,9264,6361,9452,691
11,9496,6595,290
21,350887
2,6872,3633,403
2,2421,0201,100
9517,4132,667
6,9313,2932,0201,464
265501532240
2,2571,549
7081,381
34,039603
1,6621,1757,058
8982,5652,265
1,1551,066
361518
1,5189,4991,6501,7283,842
655928
1,9912,381
569656
832,1362,868
829894
19,3942,7801,9224,6391,9512,688
11,9756,6755,300
21,415896
2,6752,3603,401
2,2531,0241,098
9577,4682,667
6,9423,3032,0231,467
265505534241
2,2561,549
7071,383
34,117606
1,6731,1797,085
8992,5692,272
1,1691,072
363517
1,5169,5201,6591,7333,844
658926
1,9942,389
569661
842,1372,863
834893
19,3952,7761,9194,6431,9562,687
11,9766,6825,294
21,485907
2,7192,4103,413
2,2591,0271,100
9637,4552,669
6,9643,3152,0261,468
267507538244
2,2611,552
7091,388
34,285605
1,6811,1847,151
9032,6222,322
1,1841,078
364524
1,5169,555
21,568917
2,7212,4083,420
2,2721,0301,101
9727,4852,680
6,9673,3192,0291,469
268509541240
2,2591,551
7081,389
34,378615
1,7041,1747,188
8952,6482,352
1,1951,085
366529
1,5049,5651
1,6681,7403,851
657929
1,9872,401
571663
852,1472,885
838897
19,4592,7761,9184,6551,9632,692
12,0286,6905,338
1,6741,7443,847
658929
2,0012,395
570665
852,1482,897
848900
19,4462,7561,9064,6541,9682,686
12,0366,7195,317
21,671922
2,7322,4133,435
2,2851,0341,103
9817,5282,685
6,9873,3292,0301,472
265514543242
2,2611,553
7081,397
34,448619
1,6901,1747,225
8932,6682,368
1,2061,096
365532
1,5149,5761,6771,7473.849
656933
2,0172,390
568669!
852,1462,893
844903!
19,4842,7521,8974,6591,9812,678
12,0736,7685,305
21,672923
2,7452,4223,442
2,2911,0371,098
9897,4892,695
6,9993,3392,0281,471
265519548244
2,2591,551
7081,401
34,532619
1,6841,1797,269
8932,6962,393
1,2181,105
366524
1,5159,5911,6811,7493,849
658935
2,0142,392
577672
852,1542,906
848907
19,6062,7391,8884,6741,9842,690
12,1936,8625,331
21,699930
2,7382,4153,435
2,2991,0371,099
9937,5022,703
7,0033,3372,0261,472
261521547243
2,2641,553
7111,402
34,588616
1,6821,1807,277
8882,7082,402
1,2271,105
367543
1,5069,6211,6871,7503,863
658933
1,9962,407
569671
842,1512,926
854918
19,5392,7411,8854,6771,9902,687
12,1216,7825,339
21,761934
2,7462,4323,454
2,3051,0431,097
9967,5142,715
7,0293,3522,0361,478
260523550243
2,2671,556
7111,410
34,707618
1,6841,1887,279
8912,6942,391
1,2411,117
366535
1,5449,6451,6931,7553,869
663936
2,0172,418
577673
862,1512,931
856924
19,4992,7331,8784,6481,9672,681
12,1186,7745,344
1 Includes other industries, not shown separately.p = preliminary.NOTE: Establishment survey estimates are currently projected from
March 1995 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1992 forward aresubject to revision.
44
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAWOMEN EMPLOYEES
SEASONALLY ADJUSTED
B-4. Women employees on nonfarm payrolls by major industry and manufacturing group, seasonally adjusted
(In thousands)
Industry1995
Aug. Sept. Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug.
Total
Total private
Goods-producing
Mining
Construction
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goodsFood and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
Service-producing
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
GovernmentFederalStateLocal
56,771
46,165
6,629
80
577
5,972
2,804127156103100316444678362
O174
3,16855012
3116951656923282533258
50,142
1,832
1,979
11,192
4,310
20,223
10,6061,1852,3407,081
56,899
46,280
6,622
80
580
5,962
2,806127157103100315445681361
O173
3,15655212
3096871656913282433058
50,277
1,841
1,986
11,207
4,317
20,307
10,6191,1812,3447,094
56,960
46,327
6,608
80
581
5,947
2,805128157102100316448683355
O173
3,14255312
3076771646903272433058
50,352
1,846
1,989
11,209
4,326
20,349
10,6331,1782,3467,109
57,039
46,409
6,605
79
584
5,942
2,808128156103100316450684355
O174
3,13455312
3066711646913262433057
50,434
1,856
1,997
11,211
4,336
20,404
10,6301,1762,3477,107
57,134
46,491
6,594
79
587
5,928
2,809128156102100316451685355
0174
3,11955112
3046641646913242432956
50,540
1,866
2,003
11,218
4,342
20,468
10,6431,1752,3487,120
57,014
46,384
6,568
79
591
5,898
2,808127156102100317452685354
0173
3,09054712
2986511646873252432755
50,446
1,872
2,008
11,152
4,348
20,436
10,6301,1702,3327,128
57,315
46,653
6,583
79
595
5,909
2,810128156102100316451686356
O173
3,09954912
3026541646873252432755
50,732
1,883
2,014
11,236
4,360
20,577
10,6621,1702,3487,144
57,419
46,739
6,573
79
598
5,896
2,804129156101100316451686350
O173
3,09255112
3016471636873262432655
50,846
1,891
2,019
11,243
4,369
20,644
10,6801,1692,3477,164
57,508
46,820
6,559
79
599
5,881
2,807129155101100316451685356
0172
3,07454413
2986421626863252332754
50,949
1,896
2,018
11,268
4,377
20,702
10,6881,1712,3547,163
57,681
46,969
6,562
79
602
5,881
2,808130155101100318450684356
O172
3,07354713
2986371636873232432853
51,119
1,901
2,019
11,309
4,395
20,783
10,7121,1702,3417,201
57,816
47,118
6,562
79
606
5,877
2,817132156101102318452684358O172
3,06053813
2986311636893222432854
51,254
1,909
2,031
11,364
4,395
20,857
10,6981,1612,3457,192
57,974
47,230
6,560
78
610
5,872
2,81513215810099320452686355
O172
3,05753612
2966331626893222433152
51,414
1,912
2,035
11,421
4,405
20,897
10,7441,1602,3447,240
58,129
47,294
6,554
77
612
5,865
2,824132157101101321453682364
O172
3,04153411
2946191626913222433252
51,575
1,916
2,043
11,411
4,410
20,960
10,8351,1552,3617,319
1 This series is not published seasonally adjusted because the seasonalcomponent, which is small relative to the trend-cycle and irregular components,cannot be separated with sufficient precision.
NOTE: Establishment survey estimates are currently projected from March1995 benchmark levels. When more recent benchmark data are introduced,all seasonally adjusted data from January 1992 forward are subject to revision.
45
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTSEASONALLY ADJUSTED
B-5. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonallyadjusted
(In thousands)
Industry1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept." Oct.'
Total private
Goods-producing
Mining
Construction
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steel productsFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipment
Motor vehicles and equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goodsFood and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
Service-producing
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
80,585
17,144
419
4,018
12,707
7,272626398416549183
1,0801,2991,0471,170
759(2)
273
5,4351,236
325537445228425809275480
63,441
5,207
5,235
18,699
5,003
29,297
80,703
17,132
416
4,026
12,690
7,270625398415551184
1,0811,3021,0501,159
745(2)276
5,4201,237
325517345208435798975580
63,571
5,229
5,244
18,722
5,011
29,365
80,907
17,162
417
4,037
12,708
7,309627399415551183
1,0811,3061,0521,190
758(2)
276
5,3991,236
325487255198415779075279
63,745
5,243
5,257
18,758
5,021
29,466
80,706
17,131
419
4,056
12,656
7,288
615397412552183
1,0821,3041,0521,188757(2)274
5,3681,235
315397135198395779074877
63,575
5,245
5,267
18,647
5,027
29,389
81,303
17,270
425
4,174
12,671
7,298
620396417550183
1,0821,3021,0551,189758(2)275
5,3731,237
325457185178375749074677
64,033
5,275
5,281
18,780
5,046
29,651
81,378
17,186
426
4,141
12,619
7,263
620394417550183
1,0831,3011,0521,160729(2)274
5,3561,238
325437075168375729074576
64,192
5,287
5,295
18,791
5,061
29,758
81,550
17,203
425
4,154
12,624
7,289625392415547183
1,0801,3011,0541,191
754(2)
272
5,3351,232
325387055138345718974576
64,347
5,292
5,296
18,859
5,068
29,832
81,807
17,228
428
4,169
12,631
7,300
627397416548184
1,0821,3021,0541,188760(2)272
5,3311,234
315397005138335699074775
64,579
5,304
5,311
18,916
5,085
29,963
82,016
17,247
428
4,185
12,634
7,326
630395417552184
1,0891,3011,0511,205765(2)273
5,3081,216
325386955118345679075075
64,769
5,317
5,312
18,980
5,087
30,073
82,209
17,241
423
4,204
12,614
7,313
629398416545183
1,0921,3011,0561,195752(2)271
5,3011,211
315386985098345659075174
64,968
5,324
5,320
19,057
5,101
30,166
82,331
17,262
425
4,211
12,626
7,339
633396418551183
1,0971,3021,0521,2087720270
5,2871,209
295366865118345649075672
65,069
5,326
5,337
19,051
5,107
30,248
82,321
17,224
423
4,213
12,588
7,311629397417549182
1,0941,2931,0501,200
758
269
5,2771,204
3153468551283256390
75472
65,097
5,329
5,340
19,066
5,109
30,253
82,516
17,232
423
4,214
12,595
7,313
634395420548180
1,0981,2981,0471,188745(2)269
5,2821,210
315366795158325648975373
65,284
5,324
5,355
19,130
5,133
30,342
1 Data relate to production workers in mining and manufacturing;construction workers in construction; and nonsupervisory workers intransportation and public utilities; wholesale and retail trade; finance,insurance, and real estate; and services.
2 This series is not published seasonally adjusted because the seasonalcomponent, 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 1995 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1992 forward aresubject to revision.
46
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATADIFFUSION INDEXES
SEASONALLY ADJUSTED
B-6. Diffusion indexes of employment change, seasonally adjusted
(Percent)
Time span
Over 1-month span:19921993199419951996
Over 3-month span:19921993 . . .199419951996
Over 6-month span:19921993199419951996
Over 12-month span:19921993 .199419951996
Over 1-month span:19921993199419951996
Over 3-month span:19921993199419951996
Over 6-month span:1992 . . .1993199419951996
Over 12-month span:199219931994 . . .19951996
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
Private nonfarm payrolls, 356 industries1
43.760.058.863.252.4
39.763.867.166.660.7
43.363.370.866.360.3
47.264.970.262.661.0
43.760.862.159.363.2
41.961.269.563.261.8
46.865.271.660.862.9
42.363.971.660.861.7
50.051.366.054.960.0
49.761.170.456.961.2
47.563.869.058.763.8
42.764.071.860.1
P61.2
57.358.664.254.652.4
57.059.868.753.460.0
52.564.269.854.463.8
44.165.471.861.2
P60.8
55.561.760.351.462.2
58.463.166.454.261.0
54.962.469.553.562.6
48.067.072.158.1
50.155.263.555.157.4
55.862.966.052.963.6
56.765.969.554.1
P58.7
52.567.671.857.7
52.257.761.554.155.8
50.659.768.556.660.3
53.865.769.253.1
P64.5
55.867.671.554.5
49.057.062.157.457.3
50.163.169.553.8
P55.2
52.263.969.056.3
60.767.072.158.7
52.161.860.851.6
P49.7
52.864.565.354.2
P58.8
55.566.369.255.9
59.770.270.158.6
56.359.761.554.8
P60.1
54.467.165.654.6
57.667.368.554.1
61.469.569.457.3
53.261.863.156.3
57.664.668.058.3
63.970.669.156.2
62.969.265.759.4
57.459.663.959.4
61.263.567.857.0
61.969.566.661.8
62.970.165.059.8
Manufacturing payrolls, 139 industries1
37.452.556.556.842.1
29.960.863.760.438.8
32.456.562.255.432.0
42.456.857.942.133.1
39.956.560.155.048.2
33.558.364.4
43.950.759.746.048.2
43.953.2662
51 8 43 s39.9
34.959.064.445.037.4
36.757.958.640.333.1
37.8
39.956.860.438.537.1
36.355.860.839.9
P33.8
56.845.758.645.339.6
49.647.860.834.943.2
46.855.461.533.538.1
36.058.660.840.6
P33.8
50.054.053.239.253.2
55.448.956.133.145.3
52.250.759.027.742.4
39.657.260.834.5
48.945.757.940.349.6
53.254.056.832.047.5
54.357.956.828.8
P38.1
45.757.663.331.7
52.249.357.645.043.9
46.850.460.833.145.7
48.259.456.528.8
P46.8
50.058.659.425.9
44.649.353.645.050.0
47.858.358.635.6
P39.2
47.856.557.230.6
55.859.060.128.8
47.559.455.842.4
P42.1
45.757.654.038.8
P49.3
51.157.660.133.5
57.961.257.228.1
47.853.254.745.3
P54.0
47.559.756.139.6
51.158.655.833.1
56.859.755.824.1
51.453.657.246.4
51.154.760.140.6
56.864.459.734.2
58.360.149.627.0
54.755.059.447.5
54.757.660.838.8
56.560.855.838.8
56.557.647.529.1
1 Based on seasonally adjusted data for 1-, 3-, and 6-month spans andunadjusted 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 decreasingemployment. Establishment survey estimates are currently projected fromMarch 1995 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data (beginning April 1995) and all seasonallyadjusted data (beginning January 1992) are subject to revision.
47
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted
(In thousands)
State1995
Sept. Oct. I Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Total1
1,811.9263.0
1,795.21,074.9
12,532.1
1,857.91,569.7
369.0642.6
6,059.7
3,447.6531.5478.3
5,625.52,794.0
1,360.51,204.31,648.21,790.5
542.8
2,186.02,990.84,253.92,382.71,078.2
2,527.7351.9818.2804.7542.8
3,617.0691.8
7,879.23,475.7
302.8
5,255.41,319.41,431.85,254.0
442.7
1,660.2345.7
2,522.48,065.8
919.6
271.03,067.42,357.6
689.22,561.7
220.1
1,813.8263.6
1,795.31,075.7
12,532.3
1,861.31,568.0
368.4640.2
6,059.6
3,462.1531.0481.9
5,629.12,794.2
1,365.01,215.11,650.71.793.5
543.7
2,183.22,994.14,272.22,385.41,077.3
2,533.5352.3817.9809.0542.5
3,619.7695.4
7,889.83,478.0
303.4
5,266.31,325.71,434.55,257.5
443.2
1,657.6347.4
2,527.18,111.2
922.8
272.73,081.52,340.2
693.12,564.6
221.0
1,815.9264.0
1,804.91,077.5
12,555.3
1,870.41,563.1
369.1638.4
6,082.1
3,475.9530.6482.9
5,635.72,794.7
1,367.71,211.11,652.91,794.9
544.6
2,184.12,997.94,266.02,391.51,073.9
2,538.1352.7817.7814.3545.3
3,621.0700.2
7,895.23,481.2
305.3
5,277.81,332.21,437.95,253.9
443.2
1,659.6348.7
2,535.68,141.0
926.4
272.23,084.52,342.9
692.52,566.2
220.1
1,815.0263.7
1,813.21,080.8
12,570.6
1,879.61,562.7
371.0637.7
6,100.8
3,483.2529.5484.8
5,643.82,797.9
1,373.81,218.91,658.61,795.4
545.4
2,183.23,001.54,292.12,390.81,077.7
2,545.8353.3819.8817.3546.1
3,622.3703.6
7,903.93,483.3
305.3
5,287.51,336.81,444.75,253.1
443.9
1,659.4349.6
2,546.68,171.7
931.4
272.63,085.62,367.1
692.02,568.5
221.4
1,814.8260.9
1,822.81,080.4
12,590.1
1,885.71,565.2
365.7629.9
6,089.2
3,481.0527.7485.0
5,666.02,796.7
1,372.81,226.11,651.01,799.9
544.3
2,165.83,000.14,293.42,393.21,078.4
2,548.2352.0818.9823.2542.4
3,595.8707.0
7,879.13,456.0
304.7
5,283.81,334.01,457.05,202.7
443.8
1,655.5351.1
2,543.18,158.9
933.3
272.93,065.62,363.6
686.12,576.8
222.6
1,813.2264.7
1,835.11,080.4
12,621.5
1,888.51,576.1
374.1634.2
6,109.9
3,498.8530.6485.6
5,668.82,800.7
1,370.71,225.01,657.51,801.7
544.8
2,191.23,007.44,296.82,400.31,077.1
2,553.0355.4822.7827.0544.7
3,623.5709.0
7,909.83,495.0
305.6
5,294.01.334.11,453.85,258.3
445.0
1,658.9351.8
2,546.58,171.6
937.9
273.03,099.52,368.5
693.82,564.2
222.8
1,816.2263.2
1,839.81,082.1
12,635.9
1,897.01,576.8
372.5633.9
6,142.9
3,513.6529.2488.3
5,682.42,802.3
1,378.51,226.51,660.61,799.9
544.5
2,197.43,011.14,293.12,409.31,078.8
2.561.0356.2824.6831.5545.2
3,630.5710.9
7,921.33,503.7
307.4
5,292.91,341.61,459.45,272.9
445.3
1,662.0352.8
2,574.88,195.6
944.8
273.53,111.72,381.0
696.22,574.6
223.3
1,812.9261.8
1,843.61,080.1
12,649.6
1,896.31,575.0
378.1633.6
6,126.8
3,521.1527.5493.8
5,685.72,797.8
1,374.61,221.81,663.91,798.9
542.5
2.193.33,007.74,297.12,410.81,079.5
2,559.3356.6827.8833.6547.5
3,632.0710.8
7,920.83,501.1
307.2
5,298.21,340.71,464.15,270.0
442.9
1,668.8352.6
2,551.08,217.2
952.6
274.23,102.92,382.9
696.12,569.1
222.5
1,816.0263.5
1,851.81,080.9
12,701.2
1,907.91,576.5
377.9632.3
6,146.2
3,538.7529.5498.9
5,685.32,806.7
1,374.31,226.61,672.41,801.4
542.0
2,191.83,016.64,320.82,417.51,082.4
2,560.4358.9829.9838.0549.3
3,638.2714.2
7,934.83,512.1
309.9
5,310.61,346.31,466.95,281.6
444.5
1,671.6354.4
2,553.08,247.4
954.1
273.23,107.32,393.2
708.92,581.3
221.1
1,816.3265.5
1,854.91,086.2
12,734.8
1,896.41,576.5
377.6632.8
6,167.2
3,551.9529.2501.2
5,691.72,792.9
1,381.11,225.41,676.91,803.4
542.5
2,191.13,020.64,333.32,426.81,080.7
2,558.0359.6825.6846.1549.8
3,641.9720.5
7,931.63,514.8
309.6
5,318.41,345.41,469.85,280.0
443.7
1,686.4353.9
2,558.48,267.0
959.3
274.23,114.92,401.1
700.82,585.1
222.1
1,815.8264.7
1,858.71,086.5
12,755.6
1,892.61,581.3
375.0628.5
6,175.4
3,601.5527.3502.2
5,698.12,775.5
1,377.31,227.41,670.51,800.6
540.4
2,194.03,025.44,306.32,431.81,075.1
2,560.0358.9826.0851.3551.3
3,642.2718.1
7,928.03,503.5
309.7
5,314.51,345.71,477.85,282.9
440.1
1,684.4354.2
2,555.98,282.4
960.4
274.93,122.32,413.1
698.32,586.9
220.4
1,819.2263.8
1,872.51,089.2
12,789.9
1,893.41,583.6
374.7629.7
6,186.4
3.559.7527.4504.4
5,712.42,785.9
1,379.91,230.21,673.51,802.9
542.2
2,196.13,028.94,338.32,437.51,079.6
2,556.7360.1830.2851.9550.1
3,643.1719.2
7,934.53,516.0
310.5
5,324.61,353.91,483.85,288.3
443.5
1,690.9353.6
2,562.98,300.8
964.9
275.13,127.62.423.7
697.32,596.1
220.8
1,821.1266.9
1,870.71,091.9
12,820.4
1,890.91,584.9
375.1626.5
6,225.0
3,547.4525.1503.8
5,706.72,812.9
1,381.01,229.41,678.41,806.0
543.4
2,194.33,030.94,348.32,438.31,069.5
2,566.3360.0832.5858.1546.9
3,647.0716.1
7,944.83,520.6
310.7
5,312.61,356.91,491.05,279.3
444.0
1,690.6352.4
2,573.68,311.7
970.9
276.53,130.22,431.7
696.92,594.0
222.9
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire ....
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
48
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995 1996
Sept. I Oct. I Nov. I Dec. Jan. | Feb. | Mar. | Apr. | May | June | July | Aug. | Sept.P
Construction
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaii2
IdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
87.513.0
117.945.5
500.7
103.650.619.29.1
302.1
156.426.130.0
218.3128.5
55.451.673.3
107.922.0
126.590.5
155.083.945.3
110.216.735.064.720.0
123.546.2
250.8176.4
13.6
206.448.269.5
201.113.4
87.014.2
109.2411.7
56.4
12.0167.2122.632.3
101.914.3
87.713.0
118.045.0
501.3
103.751.319.09.1
301.7
158.426.330.8
217.3127.1
55.752.872.0
110.222.2
126.390.7
156.083.546.1
110.516.234.866.619.9
123.246.5
250.2176.4
13.4
207.748.069.7
200.713.8
86.614.2
109.4418.4
57.1
12.4167.8123.232.8
102.514.3
87.913.1
119.044.9
505.6
105.350.919.09.0
305.4
159.726.231.0
214.5125.4
55.953.271.8
109.722.3
126.390.7
155.383.045.6
111.016.034.767.720.3
123.547.2
249.7176.1
13.6
208.148.670.5
199.313.7
86.614.3
109.2420.1
57.3
12.2169.7123.032.8
101.914.3
87.712.9
120.645.2
505.7
108.451.019.18.9
306.7
159.726.031.3
216.2127.3
58.553.872.0
109.122.4
126.490.8
159.583.346.6
111.516.134.769.020.2
123.148.2
249.3176.613.6
209.849.069.8
198.513.5
86.414.4
109.4423.0
57.9
12.1170.9123.232.8
101.314.7
89.612.8
122.645.3
512.7
110.551.818.38.2
307.4
160.825.531.5
219.0128.7
56.056.971.4
112.622.3
117.690.3
160.182.247.7
113.116.134.569.320.2
119.448.3
242.7166.5
13.8
208.549.472.7
195.413.8
87.314.8
111.8426.0
58.1
12.5162.8123.228.9
100.915.3
88.512.9
124.646.2
503.7
113.453.719.38.7
311.9
163.724.932.1
217.1130.2
56.357.573.0
112.622.1
127.793.1
160.683.047.2
112.916.434.570.020.0
123.549.1
246.5177.9
13.7
210.249.073.4
199.513.8
88.414.8
112.2425.9
59.1
12.3170.4123.232.798.515.4
88.912.4
122.746.7
496.1
114.654.319.99.1
312.3
164.124.732.7
218.7130.7
56.757.973.7
113.122.0
130.692.0
163.783.349.2
114.116.235.270.219.8
124.649.4
247.4179.7
14.1
213.549.272.7
203.313.7
88.314.7
115.6426.5
62.7
12.9173.2124.732.7
102.115.4
88.312.8
123.046.5
499.6
112.254.220.4
9.1312.3
163.524.733.8
217.4131.7
56.557.674.3
111.521.8
129.292.6
164.482.449.5
114.816.435.170.619.7
125.050.2
250.5179.1
14.3
214.649.774.3
200.213.3
89.014.7
115.5426.0
62.8
12.8170.3123.733.1
102.814.7
88.313.4
123.246.4
504.5
112.354.620.3
9.2312.2
164.224.434.9
213.1131.9
55.456.375.0
111.121.7
127.693.0
167.483.250.2
111.816.534.871.219.9
124.450.3
254.5178.615.2
214.649.773.8
198.713.7
88.914.6
114.6429.562.0
12.9171.7124.033.4
104.813.7
87.813.7
122.546.6
511.3
112.655.520.3
8.9312.2
163.024.234.4
217.4134.8
56.456.374.7
112.321.5
126.893.6
168.685.251.2
110.116.435.172.720.2
124.450.0
254.7180.9
15.0
214.749.374.6
201.714.3
89.914.6
116.7429.0
61.8
13.1172.5125.333.6
106.114.4
87.513.3
123.547.1
515.5
111.754.820.2
9.1309.7
161.024.134.4
218.6135.3
56.756.075.4
112.321.9
125.893.2
170.186.552.0
111.916.235.273.520.0
123.749.3
257.3181.7
15.5
213.749.476.2
203.414.4
89.715.0
117.6429.262.1
13.1171.7125.033.6
109.013.8
88.213.5
124.547.6
520.9
112.554.420.6
9.1309.8
158.924.134.6
218.4133.4
56.955.675.4
113.222.1
126.393.3
169.186.750.2
111.215.835.474.720.2
123.049.0
258.7182.115.8
212.149.876.8
202.113.6
89.714.3
117.6429.863.2
13.3171.3125.634.4
110.614.0
88.413.3
123.748.0
528.5
112.254.220.7
9.1310.8
159.223.734.5
218.0133.6
57.255.874.8
112.922.3
126.693.1
169.186.750.0
110.815.435.175.820.1
123.348.4
260.3182.715.6
212.049.677.2
203.113.1
89.414.3
118.1433.264.0
13.8171.8126.235.2
109.414.5
49
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995
Sept. Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Manufacturing
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
389.017.1
193.2258.2
1,798.3
192.5279.5
61.013.0
481.8
587.316.970.6
968.8683.7
249.9192.6313.8188.691.2
174.9444.3969.0426.5255.0
421.723.0
112.137.3
101.7
497.445.2
944.5857.421.0
1,101.1169.2228.3935.8
84.5
376.546.7
540.41,031.7
124.6
45.7
333.382.3
601.29.8
388.318.0
193.7257.9
1,800.5
192.7279.261.513.0
481.6
585.417.172.0
967.9
250.0194.0314.3188.791.1
173.5445.6973.1426.4253.9
421.023.0
111.837.6
101.3
495.445.6
943.6854.621.0
1,103.4169.8228.0935.484.0
375.946.7
539.31,033.2
125.0
45.8
310.483.2
601.39.9
388.418.4
194.3258.6
1,799.8
192.8278.3
61.113.0
481.7
586.017.071.6
968.4684.0
250.4187.0314.4188.791.3
174.9446.1958.8427.2251.2
420.423.1
111.638.0
101.8
493.745.9
943.2853.121.5
1,101.0170.2229.0933.883.6
374.747.1
538.81.035.8
125.8
45.7397.8310.2
82.2601.9
10.0
387.118.4
195.3258.8
1,801.3
192.5277.7
61.113.0
481.5
586.017.072.0
970.3683.5
250.9194.1315.3188.890.9
174.3447.1971.6426.8251.1
420.923.1
111.538.1
102.1
492.446.0
943.8851.721.4
1,099.8170.1229.5931.3
83.3
373.846.7
537.31,038.5
126.2
45.6398.1332.282.4
601.79.9
385.516.3
196.0258.1
1,801.7
193.5277.3
57.312.8
479.9
5B6.916.971.9
977.8680.9
251.1195.1314.2188.991.0
172.6446.3972.3427.4249.5
422.823.3
112.438.6
101.7
488.146.1
943.9844.221.0
1,096.2167.5232.4920.7
83.2
373.247.2
535.81,040.6
126.6
45.6393.4331.8
81.4602.6
10.1
384.919.1
197.3257.4
1,803.9
193.7278.0
61.512.9
480.2
588.416.772.0
977.8681.7
249.3195.2314.8189.590.4
174.2446.2967.8427.0247.5
422.623.1
112.338.7
101.8
492.846.2
943.2849.1
21.0
1,095.9166.9230.3927.5
83.4
372.947.1
535.61,037.5
127.7
46.0398.8332.0
82.3601.0
9.8
380.917.8
197.4256.6
1,807.1
194.2278.2
57.612.9
480.2
588.116.573.0
978.4678.9
250.0194.8314.1187.490.1
173.9444.8946.2428.6244.9
420.323.5
112.538.7
101.8
492.446.5
939.6846.5
21.1
1,082.6171.1231.3927.3
83.5
372.246.6
534.61,036.4
128.4
45.8397.5332.5
82.4600.4
9.9
378.515.7
197.8255.2
1,807.1
194.6277.3
62.513.0
479.3
587.016.573.4
979.1677.7
250.5194.9313.0190.089.7
174.1443.4959.0429.4245.7
421.123.6
113.238.6
101.6
490.546.6
936.6842.121.2
1,090.8171.1230.7926.8
83.4
369.247.1
530.91,039.3
129.7
46.1395.7333.381.8
599.29.9
378.915.2
198.1254.0
1,814.9
194.9277.261.412.8
479.2
586.916.573.4
979.2678.3
248.5195.1312.6190.889.2
174.7443.5961.1427.8245.0
420.723.6
113.438.7
101.9
491.246.6
935.7845.221.6
1,092.4171.8230.3926.582.9
369.548.2
530.61,040.9
129.8
46.1395.7334.081.8
601.09.8
377.715.4
197.9254.1
1.817.7
195.0276.6
61.113.0
480.5
586.916.673.7
980.4677.5
248.2195.1312.1190.2
174.3444.0966.0428.4243.0
414.523.7
113.038.9
101.6
488.747.0
934.8842.4
21.5
1,092.3172.4229.5927.2
82.5
368.248.3
528.31,042.0
130.3
45.9394.1336.8
81.4600.9
9.8
378.116.2
198.6253.3
1,825.0
195.6277.5
59.113.0
480.4
588.816.574.0
979.0666.7
246.9196.2309.3190.488.1
173.9444.2954.1429.7242.7
416.023.7
112.738.8
102.3
489.646.5
933.5842.121.3
1,090.2172.1230.0925.479.8
368.648.3
524.01,042.4
130.3
46.3395.3341.081.9
598.110.0
376.615.6
198.9254.3
1,828.9
195.8278.3
57.213.0
480.0
590.016.374.4
977.7680.2
248.1197.4308.5189.888.6
173.6442.9970.7429.6242.3
412.323.8
113.538.9
101.5
488.147.5
930.9839.821.5
1,094.8174.1232.7925.7
82.4
367.448.4
527.91,045.2
131.2
46.3394.7343.9
81.5599.5
10.0
376.917.2
200.4254.9
1,827.7
195.6274.557.212.8
479.7
589.116.274.4
975.5679.0
249.5197.9308.9189.788.0
174.0441.4970.0430.3240.7
409.823.6
113.239.2
101.1
485.647.0
927.7838.721.9
1,089.1173.7232.6924.382.1
365.948.2
529.41,044.8
131.1
46.3393.5345.581.6
598.510.1
50
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major Industry, seasonally adjusted — Continued
(In thousands)
State1995
Sept. Oct. Nov. Dec.
1996
Jan. Feb. Mar. May June July Aug. Sept.P
Transportation and public utilities
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
89.222.886.164.6
635.0
118.671.615.919.8
304.9
215.840.622.8
324.2139.1
61.367.792.1
107.922.1
105.1127.9164.6117.249.8
160.020.949.741.120.0
252.830.9
403.7163.7
18.2
229.873.971.0
273.014.9
71.916.0
136.8476.7
51.4
11.9156.6120.240.1
119.413.4
89.523.086.564.6
635.2
119.172.315.820.0
304.6
217.040.723.2
327.9139.5
62.168.792.3
107.922.3
105.0129.7166.0117.649.6
161.820.650.041.320.0
252.830.7
405.1163.9
18.4
230.874.271.1
273.115.4
72.116.1
136.8477.4
51.3
12.1159.0121.440.4
119.613.4
89.123.086.664.5
634.3
119.571.315.920.0
305.3
217.640.723.2
327.5140.0
62.269.192.5
107.822.2
104.8129.9166.5117.249.5
161.720.749.641.620.1
252.231.2
405.4163.8
18.8
231.574.271.8
272.515.2
71.916.1
136.7479.8
51.7
12.0158.6121.740.4
119.413.6
88.922.986.465.3
629.9
119.971.515.920.0
306.5
218.040.923.1
329.1140.1
62.268.392.6
107.822.3
104.5129.5167.0116.749.3
161.920.849.441.720.3
252.031.3
404.9163.618.7
231.374.772.2
271.315.3
71.916.3
137.9483.3
52.2
12.1158.1122.240.2
119.113.6
89.422.987.565.7
628.7
121.071.216.119.6
307.7
218.540.823.3
327.4140.3
62.969.293.4
107.522.1
106.0128.7168.7117.349.4
163.420.949.341.920.4
251.931.5
405.6164.1
18.2
232.374.973.2
268.615.2
71.416.1
137.6479.7
52.7
11.9159.8120.839.7
119.513.6
89.223.288.265.4
631.8
121.371.516.419.8
308.4
219.340.823.5
327.0140.1
62.769.293.0
107.722.2
106.7128.4170.4118.749.9
163.220.949.342.020.3
249.331.4
405.4164.5
18.2
229.475.272.7
270.015.0
71.116.2
138.3481.2
52.7
12.0161.1120.840.1
119.113.6
88.622.888.165.5
632.2
121.771.416.519.6
309.2
220.740.723.4
327.0139.8
62.869.392.8
106.422.1
106.5128.6171.3119.449.2
163.321.149.542.220.1
247.731.3
405.8164.0
18.5
228.475.272.9
270.615.0
71.816.3
138.1485.4
53.2
12.1161.9121.740.2
119.313.6
88.522.788.165.9
636.3
121.671.616.519.6
309.0
221.840.023.4
329.3140.1
62.369.793.1
107.222.1
106.0126.9169.3118.949.1
163.521.249.442.420.4
249.331.3
402.4164.4
18.2
229.375.673.5
270.315.1
72.516.2
138.5486.8
53.8
12.0161.9121.540.0
119.013.4
88.622.387.865.6
636.8
121.171.516.519.5
309.6
223.140.523.5
328.3139.3
62.469.593.5
107.822.2
105.7128.1168.8119.648.8
163.821.149.442.520.4
248.731.5
405.2164.318.5
228.775.873.0
269.315.1
72.216.3
137.7488.4
53.6
12.1161.0122.239.6
119.913.6
89.122.188.565.6
639.1
121.271.616.419.4
311.5
224.140.723.3
328.7139.7
62.369.793.5
108.422.4
105.9127.4168.5120.648.7
164.121.149.742.620.6
248.532.0
404.5164.9
18.4
229.176.072.7
270.415.3
72.616.3
137.9490.353.6
12.1162.3122.039.6
119.113.6
88.821.988.565.7
642.4
120.971.616.419.3
311.6
224.840.523.5
329.8138.8
62.670.293.5
108.322.0
106.4127.5168.8121.249.0
164.021.150.442.820.8
247.931.5
404.2165.1
18.3
230.876.273.6
270.615.0
73.616.3
137.7487.3
52.9
11.8161.3121.639.4
119.113.6
88.422.189.165.6
644.3
120.771.616.619.4
311.9
225.140.623.9
329.7139.0
62.770.493.1
108.621.9
106.7127.2168.6120.748.4
166.121.050.642.821.1
248.831.4
404.4165.118.4
231.076.973.5
271.315.0
74.016.2
137.1489.2
53.1
11.8162.6122.339.0
119.713.5
88.623.089.465.8
643.5
119.672.116.319.3
311.9
225.140.423.8
328.3139.7
63.170.093.0
108.922.0
105.7128.3169.8120.648.7
164.520.850.642.820.6
249.531.1
403.8164.018.4
230.977.073.7
271.115.1
74.116.1
137.6492.153.5
12.0162.8122.638.9
119.713.6
51
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995 1996
Sept. I Oct. I Nov. I Dec. Jan. | Feb. | Mar. | Apr. | May | June | July | Aug. | Sept.P
Wholesale and retail trade
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDc'flwflrcDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
415.154.4
452.0243.3
2,946.5
465.1340.2
84.052.2
1,557.8
879.5136.4121.7
1,320.1673.1
342.1298.1400.4420.2139.5
532.2691.9
1,005.4576.6230.4
602.697.1
205.4160.1142.0
853.0165.4
1,620.8806.3
79.5
1,281.6312.9361.3
1,200.698.2
389.687.8
594.81,958.8
222.8
64.9704.6586.3159.7588.5
52.0
416.153.7
453.0244.6
2,945.4
465.7340.8
84.252.1
1,559.9
882.1135.6122.5
1,323.3674.0
341.4301.5399.5422.8139.8
532.6690.9
1,012.2580.4229.7
604.797.0
206.1160.9142.0
854.5166.7
1,623.7806.2
79.7
1,286.4314.3362.1
1,200.197.8
388.689.1
592.01,974.4
223.2
65.1706.0586.7160.1588.5
52.5
417.353.7
453.0245.1
2,952.1
470.0340.7aa.e52.0
1,569.3
887.2135.6123.2
1,328.1675.7
341.8301.8401.2424.2140.1
532.9693.1
1,016.2581.6229.5
605.797.2
206.8162.6142.6
856.5167.4
1,629.1809.5
80.3
1,291.5316.4364.0
1,201.597.8
388.489.3
597.61,981.9
224.3
64.8705.1587.4160.5590.1
52.4
417.153.9
454.2245.9
2,964.3
472.0340.5
84.551.6
1,571.0
888.7134.9123.6
1,330.1677.6
343.6301.8401.7426.7140.2
533.9692.8
1,018.3582.1229.5
607.997.5
207.2163.5142.1
856.4168.5
1,630.3809.580.5
1,293.9317.2364.9
1,203.797.9
389.489.4
605.41,989.0
225.2
64.8702.8587.4159.9590.952.8
418.354.2
454.4246.1
2,966.6
475.2341.0
83.850.2
1,567.2
888.8135.0123.8
1,338.4676.4
343.2302.6397.2425.7140.8
529.8688.9
1,021.5584.5229.5
610.097.9
206.4164.5142.6
849.0169.4
1,627.8804.3
80.3
1,297.7318.0368.3
1,198.396.7
388.890.3
601.41,985.4
224.9
64.3700.6584.8160.1591.2
52.8
417.854.4
457.0246.5
2,984.0
473.3343.3
84.751.2
1,571.6
890.3134.9123.2
1,334.8677.6
343.2302.1397.7426.9141.3
533.1693.4
1,015.4583.2229.1
608.598.1
206.6165.6142.8
856.4169.6
1,628.1812.1
80.6
1,298.7318.1366.9
1,215.197.0
389.789.9
603.01,982.9
225.5
64.2706.5584.9161.5590.8
52.7
421.254.4
460.1248.0
2,986.4
475.3344.3
65.851.6
1,572.2
897.2134.8123.4
1,341.4682.8
345.2304.1400.7426.4141.5
535.1693.9
1,021.2587.4228.5
610.398.2
207.0168.0144.0
858.5170.5
1,631.6815.3
81.0
1,300.5319.9369.1
1,216.596.6
389.990.7
604.41,983.6
226.3
64.1710.1586.5161.5593.9
52.9
421.154.6
460.1247.9
2,979.6
472.4344.5
85.752.1
1,576.6
900.3135.6124.2
1,342.3680.5
343.4304.5401.4424.8141.2
534.6693.7
1,015.2588.5228.5
607.696.1
206.6167.6144.3
856.9169.7
1,633.9813.1
80.4
1,300.3318.8370.2
1.215.395.9
396.290.1
604.41,984.8
228.8
64.1712.3588.3162.4592.8
53.0
421.455.3
462.5249.0
2,995.7
477.7345.785.552.1
1,579.5
905.6135.2125.2
1,342.1683.7
344.2305.2405.0426.6141.7
534.0698.7
1,021.3589.1229.6
608.698.6
207.3169.2145.1
861.4170.9
1,634.7815.080.8
1,304.0322.3371.0
1,221.896.8
397.790.1
607.91,991.5
229.6
64.0713.1590.9162.6594.053.2
422.756.1
463.3250.2
3,000.9
468.0345.8
85.352.1
1,587.0
912.3134.9126.1
1,344.1682.1
344.7305.0406.3426.7141.9
533.6699.6
1,021.2589.6228.5
608.098.7
206.9170.2144.5
861.3171.3
1,633.5813.1
80.8
1,306.6321.8373.2
1,220.798.4
399.690.4
611.71,999.8
231.1
64.7712.8591.4163.0593.7
53.5
425.055.9
466.1249.7
3,001.2
468.9346.9
84.851.8
1,589.7
930.2134.3126.9
1,344.6684.8
347.7306.3403.9427.2140.7
535.1703.0
1,020.4589.0229.4
608.197.9
206.5171.7145.8
861.6171.5
1,635.2812.8
81.0
1,306.0320.7375.0
1,220.899.0
400.190.1
611.92,003.7
233.2
65.1714.4594.1162.7593.7
52.9
423.855.8
467.8250.1
3,004.3
469.6348.6
85.051.7
1,597.3
917.2134.4127.9
1,344.9685.5
347.8308.1405.5428.0141.0
535.0705.7
1,027.2591.4227.8
610.697.7
207.1173.2145.1
862.9172.2
1,637.8809.9
80.9
1,305.1320.5376.5
1,224.698.6
404.791.1
614.82,005.0
233.2
65.6715.0595.8161.6593.7
51.7
424.355.3
466.7250.7
3,012.0
470.3346.885.752.2
1,600.2
911.5134.1127.8
1,348.3685.7
347.6308.5407.6429.6141.7
534.6700.1
1,035.4592.4226.8
610.898.3
209.5174.5142.7
864.9172.4
1,642.5808.7
81.1
1,306.1320.3377.1
1,222.296.7
406.190.6
614.92,013.0
233.6
65.7717.9595.7162.5595.352.2
52
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995
Sept. Oct. Nov. Dec.
1996
Jan. I Feb. | Mar. | Apr. | May | June | July | Aug. | Sept.P
Finance, insurance, and real estate
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
77.311.7
106.841.8
737.4
113.7132.741.529.8
378.5
175.537.024.2
383.3131.5
76.957.965.580.525.9
127.8204.7196.1139.040.2
145.915.652.736.629.2
227.829.7
721.3145.2
13.9
269.766.288.0
304.324.8
19.1111.0438.0
48.5
12.1160.1121.826.9
136.28.0
77.311.9
107.041.8
736.0
114.1132.341.729.8
377.7
175.637.124.3
384.0132.4
77.058.165.580.426.0
127.5204.3196.3139.340.0
146.115.752.836.829.2
228.429.9
721.1145.1
14.0
271.165.888.0
305.224.5
69.919.3
111.1440.4
48.8
12.1161.1121.627.2
136.17.9
77.411.6
107.041.9
735.9
114.6132.142.029.9
378.2
175.737.124.2
383.9133.2
77.158.065.580.526.0
127.4203.6196.6139.539.7
146.915.852.637.129.1
228.629.9
719.7146.5
14.0
273.866.088.3
305.724.6
70.319.4
111.4440.2
49.3
12.1161.8121.627.2
135.87.9
77.611.7
107.342.0
735.7
114.9131.942.229.9
378.5
175.837.224.2
383.5133.3
77.358.265.780.426.0
127.4203.7196.5139.740.0
147.515.852.837.329.2
228.930.0
719.9147.113.9
273.566.388.6
306.124.5
70.519.4
111.8440.8
49.5
12.2161.6121.627.2
136.37.9
77.411.7
107.542.0
734.7
114.8132.942.429.7
379.3
175.737.224.1
384.6134.2
77.658.865.780.825.9
126.7202.6196.0140.040.0
148.915.552.537.529.5
228.729.9
714.7147.6
13.9
276.366.588.7
306.324.7
70.519.4
111.6441.0
49.6
12.1162.0123.027.3
136.28.0
77.711.6
108.142.0
734.6
115.2133.342.529.6
380.5
176.537.323.9
384.8134.4
77.658.765.980.626.0
127.5203.3196.4140.339.5
149.115.652.537.629.4
229.430.0
721.4148.3
14.0
274.566.588.7
307.124.7
70.419.5
112.1440.1
49.8
12.1161.8122.927.3
136.18.1
78.011.5
108.342.0
734.6
115.4133.542.629.7
381.7
176.437.123.6
385.8134.0
77.958.765.480.826.0
127.5203.4197.2140.339.5
149.415.552.337.829.5
229.630.0
720.6149.014.1
275.266.689.2
307.324.8
70.719.6
111.8441.1
50.4
12.2162.2123.527.4
136.28.1
78.211.6
108.242.1
733.7
115.7133.242.829.7
381.9
175.737.023.7
385.0133.7
77.658.965.680.625.8
127.0203.7196.8140.739.5
149.315.652.237.829.7
229.630.1
722.7149.7
14.0
275.866.889.6
307.724.7
70.819.7
112.3443.3
50.4
12.2161.4123.327.4
136.28.0
78.511.6
108.542.3
735.4
116.5132.742.929.6
384.0
176.237.023.8
384.8133.6
77.958.666.180.325.9
127.3203.6196.4141.439.8
149.815.752.338.029.6
229.730.4
722.6150.914.0
276.266.489.8
308.224.6
70.719.7
112.6444.150.4
12.1161.5124.327.6
136.88.0
78.411.7
108.742.5
735.0
116.2132.342.829.6
384.3
175.936.623.9
386.6133.7
77.658.766.380.625.9
127.3204.1197.0141.439.6
150.015.751.738.229.7
229.730.5
722.3151.6
14.1
276.766.390.5
309.324.4
71.019.8
113.1444.5
50.6
12.2161.9124.527.7
136.88.1
78.811.5
108.742.4
734.7
116.0132.343.029.6
384.6
176.636.424.0
387.2133.5
78.358.766.580.726.3
127.6204.9197.7142.039.7
150.015.752.138.229.8
230.330.4
721.7152.814.1
276.866.790.2
309.924.7
71.520.0
113.2446.6
51.0
12.3161.9124.527.6
137.37.9
79.111.5
108.842.5
735.3
116.0131.943.129.6
385.2
176.636.224.1
387.2133.7
78.359.366.380.626.5
127.8205.0197.8142.639.5
150.715.852.438.429.2
229.630.6
722.3153.7
14.0
277.166.890.4
311.024.7
72.020.2
113.4445.9
51.3
12.5161.7124.626.7
137.77.9
79.211.6
109.142.5
735.3
116.3131.943.129.5
386.6
176.636.324.1
387.5134.5
78.559.566.780.926.3
127.7204.8197.5142.639.3
150.715.852.538.429.2
230.130.6
722.0154.014.2
277.467.091.0
310.524.8
72.220.1
113.3446.151.9
12.5162.0125.026.8
137.68.0
53
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995
Sept. Oct. Nov.
1996
Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Services
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConneotloutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
400.861.5
523.7240.2
3,781.7
545.9469.697.4
267.22,093.6
850.6164.2110.2
1.590.3633.9
341.7291.1392.6477.5148.9
694.71,032.41,115.8
650.4233.5
688.797.1
212.7354.4154.3
1,091.5193.7
2,547.5770.5
81.7
1,400.5346.7371.9
1,599.7146.1
368.488.4
644.52,137.8
244.1
79.0874.8628.2183.7635.8
48.0
401.261.2
523.3240.0
3,781.3
548.0469.196.6
265.52,094.0
855.0165.1110.9
1,590.5637.5
346.5293.0395.3477.7149.2
1,035.21,126.0
649.8234.3
689.897.6
211.2354.9154.1
1,093.5195.5
2,554.8770.5
82.2
1,404.7350.5373.4
1,601.9146.6
368.089.3
646.42,150.8
245.0
79.7883.5630.5185.4636.9
48.5
402.561.3
529.2240.8
3,795.1
550.1468.797.3
265.02,100.7
860.5164.9111.3
1,594.9638.2
348.2294.1396.2478.3149.6
693.51,037.31,129.3
652.9234.4
692.597.7
210.9355.3155.5
1,095.7197.3
2,560.1770.8
82.5
1,407.9353.6374.1
1,600.7147.5
370.489.6
650.12,163.6
245.8
80.0886.6631.6185.6638.547.8
403.361.3
530.1241.9
3,803.3
552.3469.198.3
265.22,111.4
864.5164.9111.6
1,597.8637.8
348.9294.9399.0476.1150.4
692.11,040.21,134.5
652.4236.5
695.498.0
212.0355.7155.9
1,099.1197.9
2,567.6772.0
82.8
1,413.0356.7376.5
1,601.1148.1
371.590.3
653.02,177.7
247.8
80.5890.0632.1187.3640.648.0
402.160.9
536.3241.7
3,819.9
551.7467.697.7
262.42,103.5
861.2164.1112.4
1,602.5639.7
350.3292.5399.3479.6149.5
690.31,044.01,134.7
652.6236.4
690.697.5
210.7357.8153.5
1,091.3200.6
2,558.2765.9
82.7
1,411.8357.6386.9
1,580.5149.2
372.690.5
651.42,172.1
248.6
81.2883.2632.5186.1641.4
48.3
403.061.0
540.7242.3
3,833.1
552.4470.899.6
265.42,110.0
871.2165.7113.1
1,605.3639.5
350.3293.4401.3478.7150.3
696.71,045.91,142.5
656.9238.5
694.599.1
213.5360.2155.3
1,101.4201.4
2,580.5776.1
83.1
1,416.7357.9385.2
1,598.6149.8
374.390.9
650.02,181.8
249.1
80.9894.9636.5187.4641.948.6
405.061.5
542.1242.6
3,848.8
555.6470.299.7
265.82,109.2
876.8165.3114.1
1,609.3639.0
353.7294.7402.2480.2150.3
698.61,050.71,148.3
660.4241.4
698.099.0
214.3361.9154.6
1,106.7202.0
2,592.6779.8
83.4
1,423.4358.5387.0
1,605.6150.2
375.991.4
654.42,198.1
248.8
80.9900.8640.8187.8643.7
48.5
404.762.0
544.6241.2
3,862.2
559.1470.6
99.8265.2
2,119.5
880.7164.7116.6
1.612.0637.3
352.4293.6403.0478.8149.9
699.01.050.71.149.5
659.9240.7
697.599.5
217.3364.2156.5
1,109.0201.8
2,593.8779.4
83.6
1,420.4357.7388.4
1.607.5149.0
378.091.1
652.62,210.0
251.9
81.4894.5643.2187.9642.1
48.6
406.662.1
545.6242.2
3,880.4
563.0473.6100.9264.7
2,133.2
888.4165.7118.0
1.618.0639.3
353.4294.1404.4478.5149.9
1.053.81,160.3
664.0241.7
701.1101.0217.7365.2156.7
1,113.5203.4
2,599.8781.7
84.8
1,424.3358.9390.6
1,610.7150.0
379.391.5
653.02.224.8
254.3
80.6897.5646.2188.3645.148.2
408.662.8
547.1243.6
3.899.2
562.0474.7101.0267.2
2,144.2
893.7165.6119.6
1,614.4637.6
358.1294.4408.0478.4150.2
699.51,055.21,164.3
665.0239.9
704.8102.9217.2369.9156.7
1,118.2204.5
2,600.2784.4
84.8
1,427.1358.8392.4
1,606.3148.9
381.291.7
655.82.234.8
256.8
80.7903.0649.8189.9643.3
48.0
410.262.7
549.6244.8
3,904.3
561.3477.1101.0267.6
2,157.5
923.8165.5120.5
1,619.0639.8
354.4294.5408.7478.0150.0
700.21,057.81,153.8
665.1236.7
703.3102.6217.7369.5155.2
1,121.1203.5
2,607.1789.2
84.9
1,426.1358.9396.3
1.611.8148.3
382.091.9
659.32,240.1
257.0
81.2909.4653.2190.6644.0
48.0
410.463.1
554.0245.4
3,914.8
561.3477.2101.6266.9
2.159.7
898.8165.6120.4
1.621.8639.2
355.5295.5410.4477.8150.1
704.81,060.41,164.7
668.4240.8
700.9103.0219.3369.2155.9
1,124.7203.5
2,613.4795.9
85.4
1.428.7363.9399.8
1.611.3149.4
383.991.1
660.02,244.9
258.6
80.8914.0658.3188.9647.9
48.0
411.063.8
554.2247.0
3,927.8
558.5479.0101.5265.4
2,175.8
891.3165.8119.9
1,626.9640.8
354.4295.3410.9476.1150.6
702.61,062.71,162.3
239.0
714.1102.9218.5369.7156.8
1,126.0202.2
2,617.7794.285.3
1,427.5367.4400.9
1.609.0150.2
385.991.6
664.32.244.3
260.7
80.4915.9661.8188.4648.4
48.5
See footnotes at end of table.
54
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued
(In thousands)
State1995 1996
Sept. I Oct. I Nov. I Dec. Jan. | Feb. | Mar. | Apr. | May | June | July | Aug. | Sept.P
Government
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
342.172.7
303.1177.9
2,102.9
303.7224.9
49.9251.4934.1
574.7110.396.1
807.2397.7
231.0237.4286.1360.8
93.1
423.7397.8639.7381.3219.1
393.976.2
149.497.375.1
569.0165.3
1,385.7552.571.1
752.4270.2240.1720.360.6
295.071.1
381.11,455.8
163.6
44.8593.5441.8136.9376.3
57.9
342.772.9
301.4178.4
2,103.3
303.4222.2
49.5250.6933.1
580.8109.195.5
805.1393.4
230.2239.0287.4359.1
93.0
423.3396.4634.8380.4218.8
394.876.9
149.997.675.5
569.9165.1
1,386.5557.6
70.7
748.2271.1240.4722.2
60.9
294.670.3
387.51.461.8
164.1
44.9594.5443.0137.1377.3
57.8
342.373.0
303.4178.3
2,103.5
303.6220.3
49.8249.4934.6
581.5109.195.6
805.3391.8
230.0239.9286.9359.1
93.0
423.2395.9635.6382.1219.2
395.176.9
150.398.775.4
568.6166.0
1,383.3557.7
70.6
749.9271.3238.4721.5
60.6
295.470.5
387.21.464.9
163.9
44.9594.2444.0137.0376.257.4
342.372.8
306.9178.3
2,101.5
305.3220.2
49.8249.0936.2
582.8108.696.1
803.6391.8
230.2239.8287.9359.793.1
423.4396.0637.0381.8219.9
395.976.7
150.998.575.9
568.1166.2
1,383.3559.170.4
752.1270.9241.4722.261.1
294.070.7
387.21,464.6
164.3
44.9593.5445.1136.3376.257.8
341.572.0
306.1178.0
2,096.7
304.9222.7
50.0246.9937.2
581.6108.295.3
803.2390.1
229.6242.8286.0358.6
92.6
421.7397.9632.3381.2221.2
394.575.7
151.9100.174.1
565.5165.4
1,381.9559.670.9
746.8268.5232.8714.660.9
289.870.5
388.81,461.1
164.9
44.6593.4444.3137.1382.857.7
341.072.2
306.8177.1
2,101.4
305.0224.7
50.0246.5940.2
581.8110.394.9
808.8390.5
229.3240.7287.7359.4
92.4
424.1395.6636.0383.1220.8
397.077.0
152.799.474.7
568.7165.5
1,380.4563.3
71.0
754.4268.8234.7721.661.2
290.271.1
390.81,467.5
166.0
45.0595.6445.0136.9374.5
57.6
342.672.6
308.7177.2
2,101.7
305.9224.1
50.3245.1971.0
582.7110.195.2
808.4390.4
230.0238.7287.7358.892.4
424.0396.2637.5382.0221.5
400.577.5
152.599.275.0
569.1165.3
1,379.3565.771.0
755.2269.4235.3723.3
61.4
291.371.1
411.41,470.9
167.1
44.9595.5448.1138.7376.8
57.8
342.572.2
309.2177.8
2,102.2
306.5222.9
50.3244.6941.0
584.5109.095.9
807.3390.3
229.8234.6289.2358.991.9
422.2395.2635.2383.2221.8
400.677.2
152.898.774.8
569.7165.0
1,376.5569.6
71.3
752.9269.4235.6723.2
61.3
291.271.3
392.31,473.7
167.2
45.1596.5446.4138.0374.8
58.0
342.473.5
313.7178.1
2,104.4
308.4220.4
50.3244.3941.3
586.7110.297.1
806.8394.2
230.4239.9291.6358.991.3
422.9394.5637.8384.5222.6
399.677.1
153.899.275.2
567.4164.9
1,377.8572.671.0
756.3269.5236.6727.361.2
291.471.7
392.11,474.1
166.5
45.0596.4448.4149.9377.457.7
340.873.5
314.3180.2
2,102.9
307.3219.3
50.6242.5940.3
588.5110.697.3
806.9381.0
231.7238.2291.7359.3
91.7
422.5395.3640.0388.7225.0
401.475.8
150.899.476.0
569.1169.0
1,377.2573.7
70.9
758.0269.3235.1725.4
59.7
302.070.5
390.31,472.5
167.1
44.9597.9448.0139.8382.9
58.0
336.173.4
311.1180.1
2,104.0
304.4220.4
50.4238.0934.7
588.8110.095.9
806.8370.3
228.6237.4288.9355.9
91.3
423.8393.5633.6390.4220.7
401.576.4
150.2102.576.9
565.9168.9
1,364.6556.070.6
757.3270.4234.7722.0
58.7
297.070.3
387.71,480.3
166.0
44.5596.1450.4136.7383.5
57.4
341.672.6
316.8180.3
2,113.2
303.7220.8
50.5239.9935.3
585.5110.296.0
819.5368.5
228.5235.9289.8356.8
91.9
420.8393.1632.3390.2225.7
399.877.8
150.7100.276.5
563.9168.4
1,362.6565.7
70.5
762.2270.7232.2723.2
59.6
297.370.0
387.51,487.7
166.5
44.2598.1449.9139.6384.7
59.0
341.573.1
314.7179.6
2,117.4
305.0225.7
50.5238.1953.0
587.1108.696.3
808.9393.2
228.6234.3291.7360.192.4
422.0399.1636.4388.9220.0
400.678.1
152.0103.175.9
565.6167.7
1,366.3574.570.2
755.8271.2236.6720.261.8
295.189.2
391.41,485.2
168.1
45.2596.1451.5137.9382.7
59.7
1 Includes mining, not shown separately.2 Mining is combined with construction.P = preliminary.
NOTE: All data have been adjusted to March 1995 benchmarks and incorporateupdated seasonal adjustment factors.
55
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURSSEASONALLY ADJUSTED
B-8. Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrollsby major industry and manufacturing group, seasonally adjusted
Industry1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.1
Total private
Goods-producing
Mining
Construction
ManufacturingOvertime hours
Durable goodsOvertime hours
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steel productsFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipment
Motor vehicles and equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goodsOvertime hours
Food and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
Service-producing ,
Transportation and public utilities
Wholesale trade
Retail trade
Finance, Insurance, and real estate
Services
34.5
41.0
44.9
39.1
41.44.3
42.34.6
40.739.443.143.844.242.243.142.043.444.341.439.7
40.33.9
40.938.940.436.742.838.043.2(2)41.4
37.8
32.7
39.5
38.3
28.8
34.4
40.9
44.2
38.8
41.54.3
42.34.6
40.739.642.943.944.242.243.341.643.844.841.439.6
40.33.9
40.840.140.536.842.938.143.1(2)41.2
37.7
32.7
39.6
38.2
28.9
34.3
40.6
44.7
38.5
41.24.2
41.94.5
40.139.442.943.744.242.042.941.242.743.841.239.5
40.23.9
40.638.740.336.842.937.843.1(2)41.637.7
32.6
39.6
38.2
28.7
ft
33.8
39.7
44.1
38.2
40.04.1
40.94.4
39.135.742.143.244.341.042.140.342.443.340.237.7
38.73.8
39.936.436.133.541.537.242.5(2)40.334.8
32.2
38.8
37.8
28.3
ft
34.5
41.1
45.3
39.7
41.44.3
42.24.6
40.639.143.544.144.942.043.041.643.143.741.839.5
40.54.0
41.239.840.536.843.138.243.2
ft41.337.6
32.7
39.8
38.3
28.8
ft
34.5
40.8
45.7
38.7
41.34.3
42.04.5
40.639.443.243.944.542.043.041.442.242.141.739.7
40.54.0
41.140.440.836.943.138.243.1ft41.337.8
32.8
39.9
38.3
28.9
34.3
41.0
45.0
38.9
41.54.6
42.44.9
40.839.243.443.944.142.343.240.944.646.041.439.6
40.44.2
41.140.440.336.543.438.142.9(2)41.437.6
32.5
39.4
38.1
28.6
34.2
40.9
45.2
38.0
41.74.6
42.55.1
41.039.743.244.244.442.643.041.344.546.541.639.9
40.64.0
41.239.540.637.243.438.343.2(2)41.738.3
32.5
39.2
38.0
28.8
34.7
41.1
45.9
38.7
41.84.6
42.65.0
41.239.543.544.244.542.643.341.644.445.741.939.7
40.74.2
41.039.440.937.643.538.143.4ft41.5
38.5
33.0
40.0
38.7
29.0
ftft
34.2
41.0
44.9
38.7
41.64.4
42.34.7
41.139.743.244.044.342.443.141.243.945.541.439.7
40.54.1
40.839.440.837.143.438.243.3(2)41.5
38.3
32.5
39.4
38.0
28.6
34.4
41.1
44.8
38.7
41.74.5
42.54.8
40.939.543.244.544.242.542.841.744.746.441.739.8
40.64.0
40.639.840.937.443.338.443.3041.7
38.9
32.6
39.7
38.3
28.8
ft
34.7
41.1
45.1
38.4
41.84.5
42.64.8
41.239.643.344.544.142.443.041.644.745.941.940.0
40.74.1
41.040.940.937.443.638.443.1(2)41.7
38.9
33.0
40.3
38.5
29.0
ft
34.3
41.0
45.5
38.8
41.64.5
42.34.8
40.839.643.244.544.742.243.041.443.744.541.839.4
40.64.1
41.339.440.837.243.538.243.0(2)41.338.9
32.5
39.8
38.1
28.8
ft
ft1 Data relate to production workers in mining and manufacturing;
construction workers in construction; and nonsupervisory workers intransportation and public utilities; wholesale and retail trade; finance,insurance, and real estate; and services.
2 These series are not published seasonally adjusted because theseasonal 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 1995 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1992 forward aresubject to revision.
56
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS
SEASONALLY ADJUSTED
B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonfarmpayrolls by major industry and manufacturing group, seasonally adjusted
(1982=100)
Industry1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept." Oct."
Total private
Goods-producing
Mining
Construction
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steel productsFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipment
Motor vehicles and equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goodsFood and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
Service-producing
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
134.3
109.6
53.7
142.7
106.2
107.3134.7123.2108.491.172.6
113.2103.2108.9117.5162.373.3
102.0
104.7113.961.792.880.1
108.9123.5102.476.3
141.4
46.5
145.5
125.8
122.9
132.5
124.7
173.0
134.3
109.3
52.5
141.9
106.1
107.3134.5123.9107.691.773.0
113.3104.0108.2117.5161.173.1
102.9
104.4113.763.592.779.3
108.8124.0102.073.6
140.9
46.3
145.6
126.7
122.8
133.1
123.9
172.8
134.3
108.8
53.2
141.2
105.6
106.8132.9123.6107.691.372.6
112.8103.3107.4117.6160.272.6
102.6
103.8113.161.391.878.3
108.6122.7101.674.3
141.7
45.8
145.7
127.0
123.1
132.5
124.1
173.4
131.7
106.0
52.7
140.7
102.0
104.1127.1111.4104.990.472.8
110.2101.2105.0116.6158.270.897.2
99.3111.055.980.870.1
105.0120.5100.273.9
136.5
41.2
143.2
124.5
122.0
129.9
122.2
170.3
135.5
110.8
54.9
150.5
105.9
107.4133.1121.7109.791.973.8
112.9103.2108.7118.6159.973.6
102.2
103.9114.863.191.777.5
108.6123.4101.373.6
139.6
44.5
146.6
128.4
124.0
133.1
124.4
174.5
135.5
109.5
55.7
145.6
105.2
106.3133.1122.0108.991.573.1
113.0103.2108.1113.2147.973.6
102.4
103.7114.764.092.076.7
108.4123.6100.974.6
139.2
44.1
147.2
129.1
124.3
133.7
125.4
175.2
135.2
110.0
54.6
146.8
105.7
107.7134.8120.8108.991.072.4
113.5103.6106.8122.9167.472.9
101.4
102.9114.164.090.175.5
108.5122.7100.172.8
139.7
43.9
146.6
127.6
123.7
132.7
124.2
175.1
135.3
109.9
55.2
143.9
106.2
108.4135.9123.9108.691.873.3
114.5103.2107.8122.4170.673.6
102.1
103.3114.660.790.976.4
108.5123.2100.472.9
141.1
44.1
146.7
127.2
123.7
134.1
124.0
174.7
137.7
110.7
56.0
147.1
106.5
108.9137.2122.6109.792.573.5
115.2103.9108.3123.8168.774.0
102.0
103.3112.362.591.476.7
108.4122.7100.676.7
141.0
44.4
149.8
130.1
126.0
135.5
128.9
178.7
136.1
110.2
54.2
147.8
105.8
108.0136.7124.2108.690.972.8
115.0103.4107.8121.4165.172.6
101.3
102.6111.360.591.276.0
107.7123.0100.075.8
141.2
43.5
147.7
128.3
123.9
134.1
125.1
176.4
136.9
110.6
54.3
148.0
106.3
108.9136.9122.9109.292.972.6
115.8102.8108.7125.0172.973.5
101.1
102.6110.657.291.175.3
107.9123.699.875.8
142.8
43.0
148.7
129.4
125.3
135.0
126.3
177.5
138.1
110.3
54.4
146.9
106.1
108.7137.0123.6109.292.672.0
115.2102.5108.2124.1167.974.0
101.3
102.7111.262.890.775.2
108.8123.399.275.6
142.4
43.0
150.5
131.4
126.0
136.1
129.5
179.7
136.8
110.2
54.9
148.5
105.7
108.0136.8122.9109.792.472.2
115.1102.9107.4120.2160.074.399.8
102.5112.660.590.974.1
109.2122.799.173.3
140.9
43.6
148.7
129.6
125.0
135.6
124.4
177.51 Data relate to production workers in mining and manufacturing;
construction workers in construction; and nonsupervisory workers intransportation and public utilities; wholesale and retail trade; finance,insurance, and real estate; and services.
p = preliminary.
NOTE: Establishment survey estimates are currently projected fromMarch 1995 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1992 forward aresubject to revision.
57
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAALL-EMPLOYEE HOURSSEASONALLY ADJUSTED
B-10. Hours of wage and salary workers on nonfarm payrolls by major Industry, seasonally adjusted
Millions of hours (annual rate)1 Percent change
IndustryAug.1996r
Sept.1996r
Oct.1996P
Oct. 1995to
Oct. 1996P
Aug. 1996to
Sept. 1996r
Sept. 1996to
Oct. 1996P
Total
Private sector
MiningConstructionManufacturing
Durable goodsNondurable goods
Transportation and public utilities ..Wholesale tradeRetail tradeFinance, insurance, and real estateServices
Government
220,537
182,531
1,33310,94139,69023,61016,08013,10913,15132,45613,03758,814
38,006
220,476
183,987
1,34310,87339,61323,55516,05813,25213,23932,72213,41259,532
36,490
220,296
182,487
1,34411,00639,48823,44016,04913,14613,13932,58912,86158,913
37,809
2.5
1.8
.64.1-.5.5
-1.82.82.02.3-.33.0
5.9
0.0
.8
.8-.6-.2-.2-.11.1.7.8
2.91.2
-4.0
-0.1
-.8
.01.2-.3-.5-.1-.8-.8-.4
-4.1-1.0
3.6
1 Total hours paid for 1 week in the month, seasonally adjusted, multipliedby 52.
p = preliminary.r = revised.NOTE: Data refer to hours of all employees—production workers,
nonsupervisory workers, and salaried workers—and are based largely onestablishment data. See BLS Handbook of Methods, BLS Bulletin 2414,chapter 10, "Productivity Measures: Business Sector and MajorSubsectors".
SOURCE: Office of Productivity and Technology (202—606-5606).
58
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEARNINGS
SEASONALLY ADJUSTED
B-11. Average hourly and weekly earnings of production or nonsupervisory workers1 on privatenonfarm payrolls by major industry, seasonally adjusted
Industry1995
Oct. Nov. Dec. Jan.
1996
Feb. Mar. Apr. May June July Aug. Sept." Oct.p
Average hourly earnings
Total private (in current dollars)
Goods-producing
MiningConstructionManufacturing
Excluding overtime2
Service-producing
Transportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estateServices
Total private (in constant (1982) dollars)3
Goods-producingService-producing
$11.55
13.13
15.4515.1812.4611.83
11.03
14.4012.547.76
12.5211.52
7.428.437.08
$11.59
13.18
15.4715.2012.4911.86
11.03
14.4212.557.78
12.5211.54
7.448.467.08
$11.61
13.19
15.5115.1512.5111.89
11.08
14.3912.607.81
12.5511.57
7.448.457.10
$11.62
13.30
15.4815.2512.6312.00
11.06
14.3912.587.83
12.5511.59
7.418.487.05
$11.65
13.26
15.4915.2312.5611.93
11.11
14.4312.637.85
12.6011.62
7.428.447.07
$11.68
13.25
15.4615.2412.5511.91
11.16
14.4712.707.88
12.6811.67
7.408.407.07
$11.72
13.40
15.4415.2812.7412.09
11.15
14.4912.717.90
12.6411.65
7.408.467.04
$11.74
13.38
15.4515.3112.7312.06
11.18
14.5012.717.93
12.7611.69
7.398.427.04
$11.83
13.45
15.5915.4012.7712.12
11.29
14.5512.918.00
12.8611.79
7.448.467.10
$11.81
13.48
15.6215.4612.7912.15
11.25
14.5212.817.96
12.7711.78
7.418.467.06
$11.87
13.56
15.6315.4912.8912.22
11.30
14.6112.888.01
12.8511.82
7.458.517.09
$11.91
13.59
15.7015.5812.9012.21
11.36
14.5712.998.02
12.9411.90
7.458.507.10
$11.91
13.57
15.6315.5712.8712.21
11.36
14.5512.898.11
12.8511.90
000
Average weekly earnings
Total private (in current dollars)
Goods-producing
MiningConstructionManufacturing
Service-producing
Transportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estate ....Services
Total private (in constant (1982) dollars)3
Goods-producingService-producing
398.48
538.33
693.71593.54515.84
360.68
568.80480.28223.49
255.93345.75231.65
398.70
539.06
683.77589.76518.34
360.68
571.03479.41224.84
255.91345.99231.50
398.22
535.51
693.30583.28515.41
361.21
569.84481.32224.15
5
255.11343.06231.40
392.76
528.01
682.67582.55505.20
356.13
558.33475.52221.59
05
250.48336.74227.12
401.93
544.99
701.70604.63519.98
363.30
574.31483.73226.08
05
255.84346.91231.25
402.96
540.60
706.52589.79518.31
366.05
577.35486.41227.73
255.36342.59231.97
402.00
549.40
694.80594.39528.71
362.38
570.91484.25225.94
253.79346.84228.78
401.51
547.24
698.34581.78530.84
363.35
568.40482.98228.38
252.68344.39228.67
410.50
552.79
715.58595.98533.79
372.57
582.00499.62232.00
258.18347.67234.32
403.90
552.68
701.34598.30532.06
365.63
572.09486.78227.66
253.55346.94229.52
408.33
557.32
700.22599.46537.51
368.38
580.02493.30230.69
256.17349.64231.10
413.28
558.55
708.07598.27539.22
374.88
587.17500.12232.58
258.46349.31234.45
408.51
556.37
711.17604.12535.39
369.20
579.09491.11233.57
()0
1 Data relate to production workers in mining and manufacturing;construction workers in construction; and nonsupervisory workers intransportation 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 timeand one-half.
3 The Consumer Price Index for Urban Wage Earners and ClericalWorkers (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
1995 benchmark levels. When more recent benchmark data are introduced,all seasonally adjusted data from January 1992 forward are subject torevision.
59
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry
(In thousands)
Industry1987SIC
PnrloV_/UUfc;
10101102
12122
13131138
14142144147
15152153154
16161162
17171172173174175176
242412422421242624324312434243524362442452451249
252512511251225142515
All employees
Sept.1995
118,102
98,998
583
51.08.4
15.3
104.898.2
317.2147.7164.2
109.641.136.013.9
5,469
1,238.9617.0
27.4594.5
835.9273.8562.1
3,393.9736.3197.1625.5443.2235.4232.2
18,536
10,680
770.885.9
186.0147.736.7
279.1110.175.927.829.250.481.962.787.5
506.6277.3125.889.819.130.9
Oct.1995
118,664
99,042
580
50.68.3
14.9
104.297.7
315.8147.1163.4
109.340.936.113.8
5,464
1,235.7615.6
27.5592.6
833.8266.0567.8
3,394 ?734.5192.2627.8443.4239.9233.7
18,466
10,662
769.886.3
184.6146.536.5
278.9110.175.927.729.150.382.462.987.3
507.1279.7126.989.820.331.0
Aug.1996
119,781
101,492
580
53.18.6
15.3
99.392.8
315.1139.5170.4
112.742.437.613.8
5,783
1,295 6654.2
29.1612.3
843.0284.1558.9
3,644.6779.2206.6659.3492.1255.1253.8
18,396
10,712
782.381.4
184.8147.335.9
290.7115.279.727.929.450.787.766.687.0
500.0274.2125.888.716.831.1
Sept.1996P
120,508
101,235
575
52.08.3
15.1
98.592.1
312.3137.3170.0
111.942.137.413.7
5,740
1,277.5642.7
28.6606.2
845.8281.9563.9
3,616.3774.0201.0655.1490.0256.5250.5
18,363
10,712
778.580.7
183.3146.035.7
289.2114.579.827.828.950.888.067.086.5
501.1275.9125.489.018.431.2
Oct.1996P
121,168
101,379
576
51.7
-
98.6-
314.1--
111.1-_-
5,729
1,272.6
_-
839.5
-
3,616.5
-_
-
18,323
10,702
777.1-
_
-
-_-
-
-
501.7
-_--
Sept.1995
-
81,146
429
41.07.1
12.2
84.979.5
219.180.4
135.6
83.732.2_-
4,290
890.5425.3
11.8453.4
708.4229.6478.8
2,691.3546.9166.5494.6384.5178.7187.5
12,856
7,319
635.169.9
161.1127.732.1
223.785.660.723.926.043.066.052.971.4
400.3231.2106.975.515.423.8
Production workers
Oct.1995
-
81,200
427
40.26.9
11.6
84.479.2
218.780.0
135.4
83.732.2_-
4,285
885.2422.9
11.8450.5
706.0221.8484.2
2,693.5545.3161.7497.9383.7183.2189.2
12,790
7,298
633.269.9
159.6126.531.8
223.385.260.823.826.042.966.353.171.2
400.6233.2107.975.716.423.7
Aug.1996
-
83,274
434
41.87.0
12.0
81.075.6
225.078.5
142.6
86.133.4
-
4,545
929.6451.6
12.7465.3
714.7237.8476.9
2,900.6578.0173.2521.5429.0194.8207.7
12,718
7,330
645.865.8
160.7127.631.7
235.289.864.423.727.443.070.255.870.9
395.7229.6107.974.613.323.9
Sept.1996P
-
83,024
431
40.86.8
11.8
80.675.3
223.977.1
143.1
85.733.1_-
4,508
913.3442.4
12.0458.9
718.7235.9482.8
2,875.7573.9167.6517.0426.0196.9204.1
12,714
7,345
641.865.0
159.5126.531.6
232.989.064.123.526.843.270.856.270.4
397.5231.7107.974.814.824.1
Oct.1996P
-
83,147
431
_
-
-
_-
_-_-
4,494
--
__-
--
__-
12,677
7,339
641.4-
---
-
__
--
397.5
-
-
Total .
Total private.
Mining.
Metal mining ...Iron oresCopper ores.
Coal miningBituminous coal and lignite mining .
Oil and gas extractionCrude petroleum and natural gas .Oil and gas field services
Nonmetallic minerals, except fuelsCrushed and broken stoneSand and gravelChemical and fertilizer minerals ...
Construction.
General building contractorsResidential building constructionOperative buildersNonresidential building construction
Heavy construction, except building ....Highway and street constructionHeavy construction, except highway.
Special trade contractorsPlumbing, heating, and air conditioningPainting and paper hangingElectrical workMasonry, stonework, and plasteringCarpentry and floor workRoofing, siding, and sheet metal work
Manufacturing .
Durable goods.
Lumber and wood productsLoggingSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring mills
Millwork, plywood, and structural members .MillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wood containersWood buildings and mobile homes
Mobile homesMiscellaneous wood products
Furniture and fixturesHousehold furniture
Wood household furnitureUpholstered household furniture .Metal household furnitureMattresses and bedsprings
See footnotes at end of table.
60
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedFurniture and fixtures—Continued
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
Stone, clay, and glass productsFlat glassGlass and glassware, pressed or blown
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, neeReady-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos productsMineral wool
Primary metal industriesBlast furnaces and basic steel products
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray and ductile iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonferrous foundries (castings)Aluminum foundries
Fabricated metal productsMetal cans and shipping containers
Metal cansCutlery, handtools, and hardware
Hand and edge tools, and blades and handsawsHardware, nee
Plumbing and heating, except electricPlumbing fixture fittings and trimHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
See footnotes at end of table.
252253254259
3232132232213229323324325326327327132723273329329132923296
333313312331733233213322332533333343353351335333573363365
3434134113423423,53429343343234333443441344234433444344634534513452346346234653469
62.142.487.137.7
545.915.473.631.042.662.817.634.141.0
212.117.870.5
106.676.019.72.4
24.0
708.7239.8170.327.5
130.083.54.3
27.140.222.6
166.922.322.273.787.024.7
1,440.140.632.9
127.544.371.356.722.020.0
432.574.476.5
102.6110.729.298.550.747.8
252.831.0
116.893.7
62.142.185.637.6
544.015.773.030.642.462.717.433.840.8
211.417.770.2
106.276.019.72.5
24.0
708.1239.1169.727.5
129.883.24.2
27.040.722.5
166.222.122.173.187.824.7
1,443.439.832.1
127.344.471.056.722.120.2
433.674.576.5
102.8111.029.498.750.847.9
254.230.8
117.394.8
60.943.684.536.8
548.315.470.628.242.461.917.934.038.7
220.518.072.2
112.975.619.02.4
24.4
706.4239.1170.426.7
126.180.34.1
25.440.822.5
167.322.521.872.489.224.8
1,455.640.233.0
126.544.270.757.722.121.1
445.176.979.0
102.0115.730.897.649.947.7
253.230.3
117.294.4
60.243.184.937.0
547.215.570.828.042.861.617.533.838.7
220.118.172.3
112.475.619.12.4
24.4
706.3237.7168.726.7
126.880.74.1
25.540.722.5
167.322.621.772.889.724.9
1,460.239.732.6
127.144.371.257.822.021.3
445.977.278.5
102.7116.130.798.750.548.2
254.630.7
118.294.3
546.6
702.5232.9
- !
1,463.1
46.233.764.424.8
424.412.362.027,834.248.513.326.232.8
162.811.553.284.656.914.82.0
550.3182.9130.320.7
106.469.13.3
22.230.617.8
126.517.216.1155.8171.1!20.4 j
1,082.434.728.596.034.053.841.016.1113.7!
315.8!54.4157.0!73.7!84.0 j20.9 j77.2|41.4'35.8
203.223.898.672.2
46.233.463.124.7
423.812.861.627.434.248.513.126.032.6
162.611.453.184.557.014.92.0
549.5182.3129.720.6
106.269.0
3.222.031.017.8
126.017.016.0J55.3;71.4120.3
1,083.934.1!27.8!95.7!34.0 j53.6;40.9|16.2113.8|
316.2J54.5J57.0!73.7;84.1!21.1177.541.436.1
203.723.698.772.9
45.134.562.623.9
428.612.259.625.434.248.113.726.730.8
169.911.454.890.257.615.02.1
550.0184.1131.920.2
102.966.3
3.220.631.417.9
126.617.4j15.9|54.5!
72.8;20.5!
1.093.7J34.4!28.6|95.7]34.3153.8!41.4!16.0|14.5:
326.1;56.5!58.873.289.021.876.440.535.9
202.023.197.772.6
427.4
44.734.163.024.0
427.712.459.825.234.647.813.326.530.9
169.511.454.989.857.515.12.0
550.0! 547.6179.2183.2
130.920.1
103.566.73.2
20.731.1 i17.9|
126.9!17.5!15.855.073.1120.41
1.099.2J 1,102.634.1!28.4!96.634.554.541.5!16.0!14.6;
327.4!57.0!58.8 i73.6!89.4121.9J77.4141.236.2
203.823.598.972.7!
61
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedFabricated metal products—Continued
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and accessories, neeAmmunition, except for small arms, nee
Miscellaneous fabricated metal productsValves and pipe fittings, neeMisc. fabricated wire products
Industrial machinery and equipmentEngines and turbines
Turbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machineryConstruction machineryMining machineryOil and gas field machineryConveyors and conveying equipmentIndustrial trucks and tractors
Metalworking machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven handtools
Special industry machineryTextile machineryPrinting trades machineryFood products machinery
General industrial machineryPumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Computer and office equipmentElectronic computersComputer terminals, calculators, and
office machines, neeRefrigeration and service machinery
Refrigeration and heating equipmentMisc. industrial and commercial machinery
Carburetors, pistons, rings, valvesScales, balances, and industrial machinery, nee
Electronic and other electrical equipmentElectric distribution equipment
Transformers, except electronicSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsRelays and industrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipmentElectric housewares and fans
See footnotes at end of table.
34734713479348348334934943496
3535135113519352352335335313532353335353537354354135423544354535463553552355535563563561356235633564356635683573571
3575,8,9358358535935923596,9
363613612361336236213625363363236333634
129.380.049.349.925.5
252.325.056.6
2,063.186.925.761.296.972.8
223.578.716.640.040.729.2
341.540.417.5
161.851.225.4174.515.623.525.4
251.829.238.825.534.817.120.9
352.1192.2
57.7201.9138.4334.022.4
266.5
1,634.082.240.841.4158.679.259.2119.929.716.130.1
129.579.849.749.825.5253.825.257.4
2,067.886.925.761.296.772.3
223.778.816.640.240.629.2
342.140.617.4
162.051.425.3175.315.523.625.3
252.729.138.925.634.917.321.2354.5193.7
58.0200.9137.1335.022.4
267.4
1,638.982.140.741.4158.579.059.0120.229.616.130.3
134.883.451.447.524.8
253.025.157.2
2,081.284.225.159.192.771.4
225.779.116.041.940.429.7
342.441.117.1
162.151.924.8174.514.422.325.7
253.829.738.926.135.417.220.9359.4195.1
57.0209.7144.4338.822.5
270.3
1,651.782.239.842.4155.374.959.7122.231.716.229.4
135.583.651.947.524.9
253.425.057.4
2,075.684.325.558.893.171.6
225.679.515.942.240.229.4
343.341.217.1
163.351.624.7173.614.422.325.6
253.029.538.825.935.317.220.9356.6194.0
56.6207.8142.5338.322.7
269.7
1,650.082.339.742.6157.777.159.8122.031.715.629.2
2,076.0
356.6
1,648.4
101.162.638.527.911.3185.518.843.0
1,291.654.614.640.070.552.1145.853.810.027.423.320.0
243.624.911.5
123.336.117.6
100.010.313.015.7
162.216.630.814.823.212.014.6
122.054.3
20.8144.2104.4248.717.8
203.5
1,044.957.029.427.6112.062.035.297.125.914.323.1
101.362.538.827.811.3
186.719.143.5
1,293.054.014.539.570.451.6146.253.910.127.423.420.1
243.624.911.4
123.136.217.6
100.110.312.915.5
162.616.630.814.923.412.114.8123.355.3
21.1143.0103.1249.817.7
204.7
1,049.857.029.327.7111.861.935.097.625.914.123.5
106.365.940.426.010.6
185.418.843.2
1,292.152.514.038.565.951.0145.853.59.2
28.323.020.2
241.725.011.0
122.736.117.196.59.412.315.4
162.216.931.215.223.412.114.6
124.955.8
22.5151.1110.2251.517.5
205.7
1,047.455.828.127.7107.857.635.396.826.213.122.8
107.166.240.926.010.7
185.318.643.3
1,292.552.614.338.366.451.3146.353.99.2
28.722.920.1
243.225.211.0
124.135.917.097.19.512.615.4
161.316.730.715.223.412.114.6
124.155.4
22.4149.3108.4252.217.7
206.1
1,049.955.828.027.8110.359.935.397.526.112.422.5
1,292.5
1,049.9
62
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
36436413643364436453653651366366136736713674367936936913694
3737137113713371437153723721372437283733731373237437637613793792
3838138238223823382538438413842385386387
3939139113933943942,4394939539639613993993
All employees
Sept.1995
177.121.962.017.319.485.856.3
264.2112.4591.324.7
241.9137.0154.926.570.5
1,784.4972.9365.7
38.8510.538.8
446.4240.1
94.0112.3158.7104.953.837.297.068.752.520.5
834.8155.3285.242.863.370.5
265.2101.794.737.184.5
7.5
391.651.238.214.3
116.642.174.531.526.115.6
151.964.1
Oct.1995
177.722.762.217.119.386.156.2
264.1112.4595.624.7
243.8138.3154.626.769.8
1,756.1970.5363.8
38.5511.4
38.2422.0216.0
93.9112.1158.5104.354.236.896.568.451.920.5
832.2153.8284.842.763.570.3
264.5101.594.337.184.5
7.5
394.751.738.814.3
118.742.776.031.726.215.6
152.164.2
Aug.1996
175.121.361.816.718.983.055.2
263.1112.8615.3
24.7261.8140.9155.526.871.5
1,765.9957.7356.4
38.9510.931.5
451.1239.6
95.0116.5153.297.955.335.292.866.254.823.3
834.0152.2288.442.264.172.7
267.4103.293.035.183.7
7.2
386.448.435.815.3
113.541.771.831.925.715.1
151.663.9
Sept.1996P
174.921.261.816.818.983.555.6
262.6113.0611.424.9
259.8140.3155.626.871.5
1,772.9962.2358.038.2
514.431.2
455.2241.695.8
117.8152.196.855.335.293.367.054.122.5
832.5151.6287.641.863.972.6
267.4103.292.835.083.7
7.2
387.248.836.015.4
113.541.572.031.825.314.8
152.464.3
Oct.1996P
____--__
609.7_____-
1,765.3948.5
___-
462.5___
___-_
-
831.9_-
_--
__--
389.1_----___-_-
Sept.1995
126.716.341.013.114.958.936.0
129.559.0
352.816.7
106.689.8
110.920.755.3
1,199.7761.3274.4
31.0409.3
31.8209.6
95.746.767.2
122.977.845.127.527.217.137.017.0
412.946.9
145.728.031.332.0
151.962.559.623.938.6
5.9
277.635.726.511.583.428.455.021.318.110.8
107.643.0
Production workers
Oct.1995
127.017.140.812.914.859.336.1
129.959.2
356.016.7
107.391.3
111.220.954.9
1,170.8760.6273.830.7
410.431.2
182.669.046.367.3
122.377.045.327.426.916.936.616.8
413.946.7
146.328.131.532.1
152.162.859.424.138.76.0
279.936.227.011.584.828.856.021.418.210.9
107.843.0
Aug.1996
125.516.440.513.014.255.934.5
125.457.2
366.517.3
116.793.9
113.721.156.9
1,191.7752.7271.231.3
408.825.1
214.494.149.371.0
117.271.246.026.425.316.539.919.8
412.643.1
146.327.232.431.9
156.266.556.822.738.5
5.8
272.033.324.212.078.928.250.721.318.310.8
108.242.4
Sept.1996P
125.416.440.513.014.256.334.6
125.157.3
365.717.6
116.993.7
113.821.156.9
1,199.1758.0273.030.8
412.624.8
217.995.550.072.4
116.870.646.226.425.116.639.319.0
413.242.9
146.627.132.132.3
156.766.557.322.738.4
5.9
273.833.924.612.179.628.251.421.418.010.6
108.842.6
Oct.1996P
_-_-__--__._--_-
1,188.6746.0
_
_____-__-___
-
416.4_-_-___
_-
275.1__________-
Durable goods—ContinuedElectronic and other electrical equipment—Continued
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Household audio and video equipmentHousehold audio and video equipment
Communications equipmentTelephone and telegraph apparatus
Electronic components and accessoriesElectron tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesStorage batteriesEngine electrical equipment
Transportation equipmentMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers
Aircraft and partsAircraftAircraft engines and engine partsAircraft parts and equipment, nee
Ship and boat building and repairingShip building and repairingBoat building and repairing
Railroad equipmentGuided missiles, space vehicles, and parts
Guided missiles and space vehiclesMiscellaneous transportation equipment
Travel trailers and campers
Instruments and related productsSearch and navigation equipmentMeasuring and controlling devices
Environmental controlsProcess control instrumentsInstruments to measure electricity
Medical instruments and suppliesSurgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, clocks, watchcases, and parts
Miscellaneous manufacturing industriesJewelry, silverware, and plated ware
Jewelry, precious metalMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehiclesSporting and athletic goods, nee
Pens, pencils, office, and art suppliesCostume jewelry and notions :
Costume jewelryMiscellaneous manufactures
Signs and advertising specialties
See footnotes at end of table.
63
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SICCode
2020120112013201520220222026203203220332037204204120482052051
2052,3206206120622063206420720820822086209
21211
22221222223224225225122522253225422572262261226222722822812282229
232312322321232523262332331233523372339
All employees
Sept.1995
7,8561,750.4471.1141.593.1
236.5149.240.165.6
295.122.7117.458.9128.719.442.9
211.4147.6
63.8103.85.14.310.156.031.6177.735.993.0181.8
44.228.3
659.578.169.814.822.7193.621.741.061.421.726.872.234.224.061.894.772.315.451.8
921.935.8248.753.476.739.9
275.129.744.331.5169.6
Oct.1995
7,8041,720.5470.4139.993.4
237.1148.440.765.8
261.021.786.857.5129.819.643.3
210.4147.3
63.1113.16.04.315.358.831.9176.835.492.3178.7
44.128.3
655.978.369.514.422.5191.321.841.060.621.126.071.733.923.962.494.271.815.451.6
908.935.5
239.452.272.138.7272.628.844.431.0168.4
Aug.1996
7,6841,721.4462.5137.594.1
230.9147.640.463.2286.422.1113.557.2126.718.942.4201.8143.1
58.798.14.34.56.956.231.7179.135.096.0187.5
39.828.1
637.474.067.515.520.9184.820.240.956.921.424.969.632.723.061.392.469.416.051.4
842.331.9220.645.569.037.4
245.525.441.230.5148.4
Sept.1996P
7,6511,708.1461.2136.293.2
231.8145.740.163.1275.422.3106.052.9127.318.942.4202.5143.1
59.4102.34.44.58.9
57.531.8178.834.494.6183.1
42.528.3
633.173.567.313.920.6183.120.340.456.521.124.369.832.822.961.692.369.316.051.0
844.532.0
220.944.869.637.5
248.825.441.429.6152.4
Oct.1996P
7,6211,680.1
___
_
__
_
_
-
____
__-
42.6-
632.5___
_
-_____
____-
838.1
__
____-
Sept.1995
5,5371,305.7401.4119.072.2
210.296.232.735.5
253.518.9
102.652.591.112.526.9142.691.4
51.282.03.63.39.0
45.320.883.923.736.7134.2
34.221.1
557.268.958.212.619.0
165.918.836.052.419.022.358.928.119.150.083.664.513.240.1
762.729.2
210.944.765.734.6
227.023.635.824.5143.1
Production workers
Oct.1995
5,4921,277.7401.1117.372.5
211.395.533.335.6220.617.873.351.392.112.727.4142.391.3
51.090.84.53.214.247.721.382.623.236.2131.4
34.221.1
553.769.058.212.118.8
163.718.835.951.718.521.558.427.819.050.783.164.213.139.7
752.429.1202.643.861.533.5225.222.935.924.0142.4
Aug.1996
5,3881,286.3393.9114.573.2
206.297.133.035.4
246.618.099.950.990.011.826.6135.787.4
48.377.33.33.45.8
45.621.984.922.340.0138.9
30.620.6
539.765.356.913.417.2
159.117.535.849.119.220.456.626.618.449.582.062.013.839.7
690.026.0186.738.359.532.2199.519.932.823.5123.3
Sept.1996P
5,3691,276.1393.1114.372.7
206.196.133.035.4
236.018.192.746.590.611.926.8136.186.9
49.281.43.43.47.8
46.822.085.122.038.9135.7
33.520.9
537.065.056.811.917.1
157.417.635.448.718.719.956.826.718.350.282.162.113.839.7
692.825.9186.837.959.632.2
203.019.833.023.0127.2
Oct.1996P
5,3381,250.2
___-_
-
_-__---
________--
34,0-
537.2_-_------
-_--_-_-
686.8---__-__--
Nondurable goodsFood and kindred products
Meat productsMeat packing plantsSausages and other prepared meatsPoultry slaughtering and processing
Dairy productsCheese, natural and processedFluid milk
Preserved fruits and vegetablesCanned specialtiesCanned fruits and vegetablesFrozen fruits and vegetables
Grain mill productsFlour and other grain mill productsPrepared feeds, nee
Bakery productsBread, cake, and related productsCookies, crackers, and frozen bakery products,
except breadSugar and confectionery products
Raw cane sugarCane sugar refiningBeet sugarCandy and other confectionery products
Fats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. food and kindred products
Tobacco productsCigarettes
Textile mill productsBroadwoven fabric mills, cottonBroadwoven fabric mills, syntheticsBroadwoven fabric mills, woolNarrow fabric millsKnitting mills
Women's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear millsWeft knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetics
Carpets and rugsYarn and thread mills
Yarn spinning millsThrowing and winding mills
Miscellaneous textile goods
Apparel and other textile productsMen's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirtsMen's and boys' trousers and slacksMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and shirtsWomen's, juniors', and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee
See footnotes at end of table.
64
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug. Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Nondurable goods—ContinuedApparel and other textile products—Continued
Women's and children's undergarmentsWomen's and children's underwearBrassieres, girdles, and allied garments
Girls' and children's outerwearGirls' and children's dresses and blouses
Misc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishings, neeAutomotive and apparel trimmings
Paper and allied productsPaper millsPaperboard millsPaperboard containers and boxes
Corrugated and solid fiber boxesSanitary food containersFolding paperboard boxes
Misc. converted paper productsPaper, coated and laminated, neeBags: plastics, laminated, and coatedEnvelopes
Printing and publishingNewspapersPeriodicalsBooks
Book publishingBook printing
Miscellaneous publishingCommercial printing
Commercial printing, lithographicCommercial printing, nee
Manifold business formsBlankbooks and bookbindingPrinting trade services
Chemicals and allied productsIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsPolishing, sanitation, and finishing preparationsToilet preparations
Paints and allied productsIndustrial organic chemicals
Cyclic crudes and intermediatesIndustrial organic chemicals, nee
Agricultural chemicalsMiscellaneous chemical products
Petroleum and coal productsPetroleum refiningAsphalt paving and roofing materials
Rubber and misc. plastics productsTires and inner tubesRubber and plastics footwearHose, belting, gaskets, and packing
Rubber and plastics hose and beltingFabricated rubber products, neeMiscellaneous plastics products, nee
See footnotes at end of table.
234234123422362361238239239123922396
26262263265265326562657267267226732677
272712722732731273227427527522759276278279
28281281928228212824283283428428412842,3284428528628652869287289
29291295
303013023053052306308
46.634.911.743.217.436.0
216.720.156.858.6
690.7162.951.1
219.8130.3
18.547.7
244.448.139.223.8
1,536.1444.0129.9120.082.737.383.0
562.4367.1173.944.969.755.1
1,032.0117.472.0
156.674.748.0
257.3207.7154.342.441.470.556.4
146.825.9
118.351.891.4
144.3102.228.4
971.379.36.7
68.527.4
110.2706.6
45.533.811.742.316.936.4
217.519.957.158.5
687.8161.850.7
220.0131.1
18.347.5
242.947.939.223.8
1,535.8445.0130.1119.081.637.483.3
562.4367.1173.744.669.254.5
1,030.4116.971.6
156.174.647.7
257.1207.6153.542.740.770.156.1
147.126.0
118.551.991.7
144.0101.828.5
972.479.36.5
68.427.4
110.2708.0
40.830.310.537.113.735.4
212.319.355.156.3
678.7161.051.0
218.7131.3
18.446.6
235.945.638.123.3
1,525.9439.7131.0121.083.038.085.1
558.6364.3173.543.768.252.5
1,026.3116.270.3
154.675.945.7
256.1205.5152.142.439.770.057.2
147.126.0
118.552.490.6
142.498.429.9
974.178.25.6
68.127.1
109.8712.4
40.930.410.536.513.335.4
211.419.055.756.5
676.4158.950.6
218.9131.418.146.9
235.945.538.023.5
1,520.4439.6130.1119.781.937.884.2
558.0362.7174.143.766.552.0
1,018.4115.570.2
153.875.145.6
253.3203.0151.241.939.569.857.0
145.725.2
117.951.590.4
140.296.829.5
972.677.75.4
68.227.3
110.3711.0
674.3
1,526.1
1,019.4
139.2
974.3
38.530.28.3
35.914.529.3
176.116.048.447.1
523.6125.539.2
171.498.016.338.8
177.824.329.918.3
841.7153.542.462.332.230.138.4
405.1263.4124.631.253.939.2
579.953.535.1
104.647.135.9
128.7108.395.723.624.148.029.683.515.266.329.854.5
93.965.021.6
754.957.65.4
52.421.385.1
554.4
37.529.28.3
35.214.329.8
177.215.948.847.1
521.9124.938.6
171.798.616.238.7
177.123.930.118.5
840.0154.142.561.331.529.838.7
404.3262.9124.130.953.538.8
580.253.235.0
103.946.835.6
129.4108.795.924.423.847.729.583.615.366.330.054.7
93.664.821.5
756.957.7
5.252.221.385.1
556.7
32.425.3
7.130.611.628.9
171.215.446.844.8
517.0124.838.9
169.798.216.337.8
174.124.129.318.0
833.1149.043.163.633.330.340.7
399.3259.7123.430.352.836.5
568.253.334.9
101.746.935.0
119.798.893.823.522.547.830.684.015.666.530.654.5
93.463.022.9
755.656.84.6
51.820.884.4
558.0
32.625.4
7.230.311.429.1
170.515.047.545.2
515.6123.338.7
169.898.316.038.1
174.324.529.418.2
829.3148.643.162.132.030.139.7
399.4258.7124.030.351.436.2
564.353.034.9
101.346.535.0
118.697.993.423.122.447.930.582.815.265.630.554.2
92.061.922.7
754.756.54.5
52.121.184.7
556.9
515.3
829.4
563.5
90.9
756.4
65
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
3131131431433144316317
404011
41411412413415
42421422
44444449
454514512458
46
474724724473
48481481348348324833484
49491492493495
505015012501350250215023
Sept.1995
105.513.552.925.617.810.611.8
6,234
3,971
238.5212.0
443.0205.731.925.0
148.4
1,884.81,735.8
144.5
176.912.7
120.4
797.0640.4490.8111.1
14.6
415.9202.7161.1170.5
2,263
1,349.6927.4822.6237.4113.9123.5160.6
913.0401.4151.7166.0161.6
6,467
3,761494.9130.0289.7151.170.081.1
All
Oct.1995
104.513.352.025.417.310.612.0
6,263
3,994
237.2210.8
449.5205.8
32.924.6
153.4
1,900.91,750.5
145.9
173.213.0
118.3
800.4643.3490.4111.1
14.5
418.3202.9161.1172.3
2,269
1,357.0932.3826.0238.0114.1123.9162.7
912.2399.8151.9165.7162.6
6,483
3,775495.6130.6289.6153.570.383.2
employees
Aug.1996
95.512.745.923.814.010.510.6
6,331
4,030
232.6206.4
393.1218.434.127.280.6
1,909.41,756.3
148.6
179.613.9
124.8
856.1681.7516.8121.5
14.1
444.7212.5168.2182.8
2,301
1,403.8958.8836.1244.6116.1128.5178.2
897.4386.6148.4162.3166.0
6,638
3,886508.7136.4295.6159.074.384.7
Sept.1996P
94.812.745.723.513.910.510.5
6,382
4,091
233.4207.4
468.7219.3
33.827.7
153.4
1,899.81,744.2
151.2
176.013.9
122.4
854.6680.7516.6121.5
13.8
445.0211.2167.4184.4
2,291
1,401.2957.2833.2245.2116.4128.8176.9
889.5382.8146.0161.7165.6
6,630
3,871505.2135.4293.3160.774.786.0
Oct.1996P
94.8
__-
6,388
4,101
232.1-
476.5-_
-
1,897.4_-
171.7--
861.1_--
13.7
448.9__-
2,287
1,401.7
_----
884.8-_
-
6,650
3,875_
--_-
Production workers
Sept.1995
83.111.243.420.214.78.08.0
5,227
-
_
-
408.7186.7
_23.0-
1,641.81,516.9
120.9
_-
106.9
_---
11.7
332.9165.5131.1132.3
-
1,041.1693.2615.1199.5
--
135.5
721.6313.4117.3127.2138.8
5,244
3,024402.8
_-
121.1-
Oct.1995
81.711.042.319.714.48.08.1
5,261
-
_
-
414.3186.7
_22.6-
1,658.31,531.6
122.7
_-
105.1
__--
11.6
335.3165.9131.3133.7
-
1,049.5699.3619.4200.3
--
137.3
722.6312.6117.8127.7139.6
5,255
3,033403.6
_-
123.0-
Aug.1996
73.710.536.618.311.27.86.7
5,321
-
354.2198.4
-24.6-
1,664.21,536.2
124.0
_-
111.1
__--
11.4
358.0176.7140.0140.5
-
1,101.9734.9639.4204.2
--
150.8
711.0305.8115.8125.4137.2
5,373
3,109416.9
_-
126.6--
Sept.1996P
73.210.536.618.211.17.86.6
5,376
-
__
429.4198.8
_25.2-
1,654.11,523.6
126.5
_-
108.8
_---
11.1
358.4175.5139.3142.1
-
1,102.7735.9638.7205.0
--
149.4
704.4302.7113.3124.8137.5
5,358
3,090413.0
--
127.7--
Oct.1996P
73.9___-_-
5,378
-
_
-
_-__-
__-
--
_--
-
--
-
_------
-_--
5,375
_------
Nondurable goods—ContinuedLeather and leather products
Leather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
Transportation and public utilities
Transportation
Railroad transportationClass I railroads plus Amtrak2
Local and interurban passenger transitLocal and suburban transportationTaxicabsIntercity and rural bus transportationSchool buses
Trucking and warehousingTrucking and courier services, except air...Public warehousing and storage
Water transportationWater transportation of freight, neeWater transportation services
Transportation by airAir transportation, scheduled
Air transportation, scheduledAirports, flying fields, and services
Pipelines, except natural gas
Transportation servicesPassenger transportation arrangement
Travel agenciesFreight transportation arrangement
Communications and public utilities
CommunicationsTelephone communications
Telephone communications, except radioRadio and television broadcasting
Radio broadcasting stationsTelevision broadcasting stations
Cable and other pay television services
Electric, gas, and sanitary servicesElectric servicesGas production and distributionCombination utility servicesSanitary services
Wholesale trade
Durable goodsMotor vehicles, parts, and supplies
Automobiles and other motor vehiclesMotor vehicle supplies and new parts
Furniture and home furnishingsFurnitureHome furnishings
See footnotes at end of table.
66
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
503503150395045044504550475055065063506450655075072507450850825083508450855095093
51511511251251351451415147514851551651751715172518518151825195191
52521523525526
53531533539
54541542545546
55551
All employees
Sept.1995
244.3123.639.2
818.3192.5305.5177.2143.8494.1211.949.9
232.3288.1102.3114.2791.482.4
119.6320.9150.3334.9131.7
2,706259.6147.0198.3229.5909.0279.8
61.9115.0114.9146.2160.865.895.0
153.6100.053.6
533.7162.5
21,336
878.1518.967.7
163.890.5
2,662.62,338.5
134.0190.1
3,371.32,989.9
46.313.8
187.7
2,213.81,003.8
Oct.1995
244.3123.339.3
823.9193.6306.3179.3144.5494.6212.749.3
232.6287.5101.4113.9791.882.9
118.5321.3150.0338.8133.1
2,708261.4147.9200.1229.3905.6279.262.0
112.7117.6145.4160.965.495.5
152.999.253.7
534.8162.2
21,284
873.8517.167.5
162.390.2
2,738.02,410.8
134.7192.5
3,380.92,995.8
46.313.7
190.0
2,211.61,005.4
Aug.1996
253.7126.841.2
868.4206.5320.3190.2149.3504.0218.7
48.3237.0294.9103.7116.0811.486.2
122.0328.4152.6337.0133.8
2,752270.5155.5206.9233.8911.5278.2
61.2112.1109.3144.2163.465.997.5
157.5103.554.0
555.3171.1
21,855
946.2564.371.3
166.9102.5
2,699.12,386.9
125.3186.9
3,456.33,036.0
48.211.4
199.1
2,316.51,041.5
Sept.1996P
253.5126.241.5
865.4206.0320.2188.6149.1500.2218.147.2
234.9292.5102.8115.1808.1
85.9120.7327.1151.9336.7133.5
2,759268.5153.3207.6236.1916.4276.761.3
121.5111.0142.7163.466.197.3
155.8101.953.9
557.4169.9
21,801
935.9557.671.0
166.4100.1
2,714.22,401.7
125.8186.7
3,437.63,019.5
48.210.7
201.3
2,313.91,043.3
Oct.1996P
-_--_
_
-_
__
__
_-
2,775-
_
___-___
-
21,785
935.1
__-
2,786.32,467.4
--
3,457.6-_
-
2,310.71,046.1
Production workers1
Sept.1995
201.5
-658.6
-146.6116.1388.0
_
_233.0
-_
630.0
__
272.8-
2,220215.3
_164.2183.0764.1
__
94.2109.8132.9
_
125.0
431.5-
18,764
733.0441.5
52.8134.573.9
2,478.02,196.6
117.7163.7
3,065.42,740.3
_164.2
1,845.9839.0
Oct.1995
201.7_-
660.3_-
148.2116.5388.2
_
_232.2
__
630.3__
_276.9
-
2,222217.0
_165.2182.4760.8
__
97.0109.4133.4
_-
124.7
432.5-
18,719
728.9440.3
52.4133.073.4
2,547.92,264.1
118.0165.8
3,071.62,742.4
__
166.6
1,841.7839.6
Aug.1996
210.3--
690.7--
156.3120.6384.0
_-
238.4
_648.7
_
_
272.4-
2,264226.6
_172.5188.3767.8
_-88.8
106.7135.0
-128.1
--
450.4-
19,224
790.9480.3
55.5137.184.9
2,511.62,243.1
107.4161.1
3,131.22,771.2
_
174.8
1,937.3871.3
Sept.1996P
209.6--
685.4
_154.4120.4378.6
236.7
_645.3
_273.0
-
2,268224.1
_172.8190.3772.2
_90.1
105.2134.7
_-
126.1__
452.5-
19,161
780.5473.9
55.2136.782.0
2,526.32,257.1
108.0161.2
3,109.92,753.2
__
176.9
1,933.2872.4
Oct.1996P
--_
____
_
___
_
-
_-__
-__--
-
___-
19,147
__
-
__
-
____-
_
-
Wholesale trade—ContinuedDurable goods—-Continued
Lumber and other construction materialsLumber, plywood, and millworkConstruction materials, nee
Professional and commercial equipmentOffice equipmentComputers, peripherals and softwareMedical and hospital equipment
Metals and minerals, except petroleumElectrical goods
Electrical apparatus and equipmentElectrical appliances, television and radio setsElectronic parts and equipment
Hardware, plumbing, and heating equipmentHardwarePlumbing and hydronic heating supplies
Machinery, equipment, and suppliesConstruction and mining machineryFarm and garden machineryIndustrial machinery and equipmentIndustrial supplies
Misc. wholesale trade durable goodsScrap and waste materials
Nondurable goodsPaper and paper products
Stationery and office suppliesDrugs, proprietaries, and sundriesApparel, piece goods, and notionsGroceries and related products
Groceries, general lineMeats and meat productsFresh fruits and vegetables
Farm-product raw materialsChemicals and allied productsPetroleum and petroleum products
Petroleum bulk stations and terminalsPetroleum products, nee
Beer, wine, and distilled beveragesBeer and aleWine and distilled beverages
Misc. wholesale trade nondurable goodsFarm supplies
Retail trade
Building materials and garden suppliesLumber and other building materialsPaint, glass, and wallpaper storesHardware storesRetail nurseries and garden stores
General merchandise storesDepartment storesVariety storesMiscellaneous general merchandise stores
Food storesGrocery storesMeat and fish marketsDairy products storesRetail bakeries
Automotive dealers and service stationsNew and used car dealers
See footnotes at end of table.
67
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Retail trade—ContinuedAutomotive dealers and service stations—Continued
Auto and home supply storesGasoline service stationsAutomotive dealers, nee
Apparel and accessory storesMen's and boys' clothing storesWomen's clothing storesFamily clothing storesShoe stores
Furniture and home furnishings storesFurniture and home furnishings stores
Furniture storesHousehold appliance storesRadio, television, and computer stores
Radio, television, and electronic storesRecord and prerecorded tape stores
Eating and drinking places
Miscellaneous retail establishmentsDrug stores and proprietary storesLiquor storesUsed merchandise storesMiscellaneous shopping goods stores
Sporting goods and bicycle shopsBook storesStationery storesJewelry storesGift, novelty, and souvenir shopsSewing, needlework, and piece goods
Nonstore retailersCatalog and mail-order housesMerchandising machine operators
Fuel dealersRetail stores, nee
Florists, tobacco stores, and newsstandsOptical goods storesMiscellaneous retail stores, nee
Finance, insurance, and real estate3
Finance
Depository institutionsCommercial banks
State commercial banksNational and commercial banks, nee
Savings institutionsFederal savings institutionsSavings institutions, except federal
Credit unions
Nondepository institutionsPersonal credit institutionsBusiness credit institutionsMortgage bankers and brokers
Security and commodity brokersSecurity brokers and dealersCommodity contracts brokers, dealers, and
exchangesSecurity and commodity services
Holding and other investment officesHolding offices
See footnotes at end of table.
553554559
56561562565566
57571571257257357315735
58
59591592593594594159425943594459475949596596159625985995992,3,459955999
6060260226021,960360356036606
61614615616
62621
622,3628
67671
379.6653.4
8.8
1,097.581.0
328.1309.7201.1
940.5486.6290.5
76.9377.0166.680.1
7,531.2
2,641.2602.0111.1102.4926.4180.9125.779.5
132.1214.1
54.0329.4202.0
70.397.7
472.2139.165.8
267.3
6,850
3,233
2,016.11,461.6
587.4874.2269.7145.9123.8157.3
465.0143.593.8
205.6
524.0400.1
23.9100.0
228.2104.8
381.1649.6
8.8
1,101.181.8
328.3311.8200.8
947.8491.2292.2
76.6380.0169.280.2
7,361.8
2,669.3603.1111.8103.7936.7182.2118.679.8
134.4215.3
54.9339.9213.2
70.0100.7473.4141.166.3
266.0
6,839
3,235
2,011.21,457.9
586.1871.8268.4145.5122.9157.7
470.2144.995.0
208.0
523.3398.9
24.1100.3
230.5105.1
405.4679.9
9.4
1,099.079.0
322.8302.5209.4
978.9521.0310.7
72.4385.5173.775.2
7,700.5
2,658.4608.8113.6108.8925.7180.4116.885.5
129.9217.2
52.4319.6196.568.198.3
483.6142.567.5
273.6
7,079
3,360
2,045.61,484.3
605.0879.3265.4145.7119.7163.8
519.4157.1104.6234.3
550.8420.2
25.0105.6
244.1112.9
406.9677.5
9.3
1,082.378.2
321.0296.8205.8
984.0525.5313.9
71.6386.9174.676.2
7,647.9
2,684.8607.7113.6109.7939.6180.1128.885.5
130.1215.7
52.5332.6209.468.299.0
482.6142.268.7
271.7
7,014
3,335
2,026.91,471.3
599.3872.0260.2143.4116.8163.9
519.7157.1104.8234.3
546.6416.7
24.8105.1
242.2112.9
1,089.3
996.3
7,482.0
2,727.4
303.0562.9
7.2
891.664.6
263.9264.3156.9
760.1392.9
62.4304.8137.560.1
6,792.8
2,197.6500.5
86.1771.2
7,009
3,338
2,027.81,472.5
259.2
520.1
232.3
548.6
241.8
280.2
79.9389.2
53.9216.1
4,998
1,450.51,037.3
422.1615.2
125.2
337.9105.2
65.3
304.3558.2
7.2
899.165.7
265.4267.9156.6
768.3397.5
62.4308.4140.460.4
6,637.6
2,224.2501.7
87.4781.5
290.1
82.9389.4
54.2214.0
4,985
1,446.11,034.2
421.1613.1
125.6
341.5106.4
65.5
325.0589.4
7.7
906.063.2
266.5262 A163.9
795.8421.2
58.6316.0144.358.6
6,943.2
2,208.1503.4
90.4771.8
269.6
81.2398.7
55.4221.8
5,184
1,477.01,057.6
434.5623.1
130.5
374.0111.2
69.6
325.8586.6
7.71
889.762.2 j
264.7257.2159.8
800.3425.7
57.8316.8144.660.2
6,889.6
2,231.7501.8
91.3783.6
281.5
82.0398.6
56.6220.6
5,117
1,458.71,044.3
428.6615.7
130.3
374.5110.9
5,115
69.3
68
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Finance, insurance, and real estate—ContinuedInsurance
Insurance carriersLife insuranceMedical service and health insurance
Hospital and medical service plansFire, marine, and casualty insuranceTitle insurance
Insurance agents, brokers, and service
Real estateReal estate operators and lessorsReal estate agents and managersSubdividers and developers
Services
Agricultural servicesVeterinary servicesLandscape and horticultural services
Hotels and other lodging placesHotels and motels
Personal servicesLaundry, cleaning, and garment servicesPhotographic studios, portraitBeauty shopsFuneral service and crematoriesMiscellaneous personal services
Business servicesAdvertising
Advertising agenciesCredit reporting and collectionMailing, reproduction, and stenographic services
Photocopying and duplicating servicesServices to buildings
Disinfecting and pest control servicesBuilding maintenance services, nee
Miscellaneous equipment rental and leasingMedical equipment rentalHeavy construction equipment rentalEquipment rental and leasing, nee
Personnel supply servicesEmployment agenciesHelp supply services
Computer and data processing servicesComputer programming servicesPrepackaged softwareComputer integrated systems designData processing and preparationInformation retrieval servicesComputer maintenance and repair
Miscellaneous business servicesDetective and armored car servicesSecurity systems servicesPhotofinishing laboratories
Auto repair, services, and parkingAutomotive rentals, without drivers
Passenger car rentalAutomobile parkingAutomotive repair shops
Automotive and tire repair shopsGeneral automotive repair shops
See footnotes at end of table.
63,64
636316326324633636
64
65651653655
07074078
70701
72721722723726729
73731731173273373347347342734973573527353735973673617363737737173727373737473757378738738173827384
7575175147527537532,47538
2,240
1,541.7573.5309.3248.5530.765.5
698.2
1,377578.1652.5116.3
33,523
612.6165.7399.6
1,704.71,650.7
1,134.4434.5
78.9388.692.1
123.3
6,980.8239.5161.7120.4281.770.0
891.784.0
807.7231.638.142.6
150.92,600.6
299.12,301.51,103.8
250.6189.3130.8226.7
57.248.7
1,511.5546.048.875.1
1,028.4187.3118.364.4
570.9201.0235.7
2,243
1,541.9
2,267
572.0311.2250.3530.665.9
701.1
1,361572.9644.2113.9
33,663
606.3165.5394.0
1,658.31,608.6
1,136.7435.0
81.1390.1
91.6121.8
7,050.3241.1162.7121.5286.971.3
888.282.4
805.8230.938.542.5
149.92,637.9
298.32,339.61,112.7
253.6189.2131.4228.5
58.548.7
1,531.1549.448.577.0
1,034.1186.9117.565.5
575.0203.4237.0
1,557.1552.7330.5268.9535.571.6
709.8
1,452607.3689.4122.7
34,830
676.6175.8451.6
1,829.41,731.5
1,135.5438.1
75.7394.7
95.6114.8
7,348.6257.0174.3122.7308.9
76.5901.587.1
814.4236.8
39.944.9
152.02,756.0
306.82,449.21,219.2
277.4210.7142.0243.967.751.8
1,546.5555.149.772.6
1,111.8206.4133.265.0
625.0220.9256.7
2,261
1,551.3549.2330.4268.8533.4
71.7
709.3
1,418592.5674.7119.1
34,730
650.3171.7431.4
1,733.91,672.5
1,148.5437.380.6
395.895.1
123.3
7,384.9254.3173.5121.8312.0
77.5892.085.7
806.3235.639.244.9
151.52,805.7
311.22,494.51,225.4
277.9211.5142.9243.767.852.5
1,538.1556.2
50.374.2
1,110.1206.7133.264.8
623.3222.0255.3
2,262
1,552.8
709.5
1,409
34,919
641.2
1,686.5
1,158.9
7,438.4
891.8
1,103.0385.0255.1208.0359.1
2,832.1
2,520.11,237.6
1,116.2
29,338
516.3138.7339.0
1,452.1
383.2
348.4
102.8
6,230.6174.7
58.0800.467.3
733.1188.030.636.6
120.8
2,241.3888.7211.0
98.3
43.740.1
1,323.3507.641.2
848.0153.998.957.2
460.8165.6188.4
1,103.3384.4256.3209.1358.6
29,478
510.4138.6333.8
1,412.6
384.0
349.6
101.5
6,301.5176.3
59.4798.265.9
732.3186.930.836.5
119.6
2,279.6896.7213.6
98.8
44.739.9
1,343.5511.741.0
852.8153.798.258.1
464.3167.7189.7
1,111.8365.2270.9223.1364.3
30,475
574.5147.4386.7
1,532.0
386.0
351.4
95.3
6,544.8188.5
63.8809.569.6
739.9192.131.738.2
122.2
2,383.6969.8230.4
101.6
50.738.0
1,353.0515.942.1
916.0170.8112.257.5
504.2181.8206.1
1,107.5363.7270.6223.0362.2
30,359
549.7143.7367.3
1,472.6
385.2
352.5
102.6
6,577.7185.7
64.8800.168.5
731.6190.131.038.0
121.1
2,428.0975.0231.0
101.9
50.538.4
1,344.2517.442.6
913.8171.0112.157.2
501.9182.2204.9
30,530
69
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services—ContinuedAuto repair, services, and parking—Continued
Automotive services, except repairCarwashes
Miscellaneous repair servicesElectrical repair shops
Motion picturesMotion picture production and servicesMotion picture theatersVideo tape rental
Amusement and recreation servicesBowling centersMisc. amusement and recreation services
Physical fitness facilitiesMembership sports and recreation clubs
Health servicesOffices and clinics of medical doctorsOffices and clinics of dentistsOffices and clinics of other health practitionersOffices and clinics of chiropractors and optometrists ...
Nursing and personal care facilitiesSkilled nursing care facilitiesIntermediate care facilitiesNursing and personal care, nee
HospitalsGeneral medical and surgical hospitalsPsychiatric hospitalsSpecialty hospitals, excluding psychiatric
Medical and dental laboratoriesHome health care services
Legal services
Educational servicesElementary and secondary schoolsColleges and universitiesVocational schools
Social servicesIndividual and family servicesJob training and related servicesChild day care servicesResidential careSocial services, nee
Museums and botanical and zoological gardens
Membership organizationsBusiness associationsProfessional organizationsLabor organizationsCivic and social associations
Engineering and management servicesEngineering and architectural services
Engineering servicesArchitectural servicesSurveying services
Accounting, auditing, and bookkeeping
See footnotes at end of table.
7547542
76762
78781783784
7979379979917997
808018028048041,2805805180528059806806280638069807808
81
82821822824
83832833835836839
84
86861862863864
87871871187128713872
205.8113.9
358.6109.6
490.7210.8115.1143.7
1,537.386.6
1,142.8152.4347.0
9,318.01,619.0
601.7414.4161.6
1,707.01,261.9
214.5230.6
3,790.53,493.1
89.6207.8195.2639.3
917.5
1,927.5567.2
1,128.778.4
2,348.5626.8298.1576.2642.5204.9
82.3
2,114.7107.556.7
138.1409.4
2,775.4822.0639.9128.653.5
539.5
206.7114.9
357.7108.4
491.7217.3110.4142.8
1,420.788.9
1,042.4155.2317.5
9,349.41,623.3
603.6420.7163.8
1,709.01,262.9
214.6231.5
3,799.73,501.2
89.8208.7196.8643.9
918.8
2,103.5583.3
1,284.480.8
2,358.7630.6297.9580.3643.6206.3
82.2
2,116.7107.056.6
136.8412.8
2,786.2823.1640.8129.253.1
545.9
215.4118.0
369.6115.0
539.2239.2125.7153.1
1,765.172.3
1,351.0167.2437.6
9,619.81,690.4
630.9446.8173.1
1,756.01,298.1
221.0236.9
3,858.23,558.2
88.4211.6213.4657.9
940.5
1,727.4525.6948.382.2
2,368.0644.2317.3523.0677.3206.2
91.7
2,189.4108.158.3
133.1473.1
2,922.9862.7664.4139.658.7
565.0
215.3118.5
368.8115.1
525.6241.1111.6151.9
1,589.884.6
1,178.6165.4376.1
9,614.31,687.4
629.6447.6173.9
1,752.71,295.1
219.4238.2
3,857.53,556.9
88.7211.9213.6661.6
926.4
1,956.3566.9
1,143.484.9
2,392.1641.1301.6574.8667.8206.8
86.2
2,134.3106.358.4
134.6424.2
2,913.9857.3660.9138.757.7
564.8
368.1
523.8
1,492.4
9,646.81,693.1
1,757.5
3,866.4
664.5
931.6
2,149.6
2,421.4
590.0670.5
87.1
2,142.3
2,922.0858.4
176.199.9
292.7
407.1176.6
116.6
1,356.877.3
1,007.9135.5305.3
8,253.51,321.8
525.6342.5
1,538.8
192.9
3,467.0
591.3
732.0
2,036.1543.5252.9508.0557.0174.7
40.5
2,127.7678.4534.0
99.944.5
386.8
176.7100.8
291.8
407.1181.9
115.7
1,241.679.4
912.1138.1277.1
8,281.21,326.0
526.6348.6
1,540.5
193.0
3,475.5
595.4
732.1
2,044.4546.2253.4511.7558.4174.7
40.6
2,139.6679.4534.6100.744.1
392.3
183.5103.0
302.3
452.3200.7
124.9
1,564.264.2
1,204.2149.0390.6
8,524.21,385.6
552.9370.3
1,580.1
199.2
3,532.7
608.1
752.2
2,059.9559.2274.1460.2588.0178.4
41.3
2,244.7711.6553.6109.548.5
401.9
183.7103.6
302.0
437.3201.0
123.5
1,390.376.1
1,033.8147.6330.5
8,516.81,381.0
551.4371.2
1,576.1
197.7
3,532.5
612.0
737.7
2,077.7555.8258.4507.6578.4177.5
41.7
2,229.7704.9548.6108.647.7
400.5
70
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
EM 2. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry1987SIC
Code
All employees
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Production workers1
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services—ContinuedEngineering and management services—Continued
Research and testing servicesCommercial physical researchCommercial nonphysical researchNoncommercial research organizations
Management and public relationsManagement servicesManagement consulting servicesPublic relations services
Services, nee
Government
Federal Government4
Executive, by agency4
Department of DefensePostal Service5
Other executive agenciesLegislativeJudicial
Federal Government, except Postal Service
Federal Government, by industry:Manufacturing activities
Ship building and repairingTransportation and public utilities, except Postal
ServiceServices
Hospitals
State governmentHospitalsEducationGeneral administration, including executive, legislative,
and judicial functionsState government, except education
Local governmentTransportation and public utilitiesHospitalsEducationGeneral administration, including executive, legislative,
and judicial functionsLocal government, except education
873873187328733874874187428743
89
3731
806
80682
80682
561.7220.3116.2132.7852.2299.3294.1
34.4
44.7
19,104
2,812
2,749.8770.4841.5
1,137.933.328.7
1,970.3
61.730.1
20.4386.0234.0
4,591393.1
1,881.8
1,819.02,709.0
11,701455.1680.0
6,457.3
3,668.35,243.9
564.1219.8118.5132.2853.1300.2294.4
35.2
44.8
19,622
2,787
2,725.9760.0845.4
1,120.533.028.5
1,942.0
60.629.1
20.2378.3230.5
4,756393.2
2,067.1
1,803.32,689.0
12,079453.3681.7
6,876.9
3,627.85,202.0
580.5219.8126.2137.6914.7326.2319.1
37.0
47.1
18,289
2,758
2,696.7744.5847.0
1,105.231.729.2
1,910.6
52.524.4
19.9373.9225.8
4,402379.7
1,684.4
570.3217.7122.3134.0921.5326.5320.936.7
47.0
19,273
2,740
1,891.7
51.824.1
19.7372.3225.1
4,603378.3
1,914.2
1,838.52,717.8
11,129454.2694.8
5,597.7
3,883.65,531.4
1,822.82,689.1
11,930450.9694.2
6,600.7
3,716.45,329.0
925.9
45.6
19,789
2,720
433.0160.494.1
103.5629.5212.4220.922.5
35.4
435.9159.996.8
103.1632.0215.2221.3
22.8
35.6
448.6157.4103.9107.7682.6237.3241.824.1
37.6
437.5154.1100.4104.1686.8237.0242.123.8
37.5
1,867.3
4,769
2,100.4
2,668.6
12,300
7,027.0
5,273.0
1 Data relate to production workers in mining and manufacturing;construction workers in construction; and nonsupervisory workers intransportation 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 $253.7million or more in 1993 and to Amtrak.
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 1995 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1995 forward are subject torevision.
71
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAWOMEN EMPLOYEESNOT SEASONALLY ADJUSTED
B-13. Women employees on nonfarm payrolls by major industry and manufacturing group
(In thousands)
Industry July1995
55,792
46,085
6,614
82
587
5,945
2,780129153103100312441674355344170
3,16556811
3106821686913302532655
49,178
1,805
1,976
11,186
4,342
20,162
9,7071,1982,2076,302
Aug.1995
55,955
46,307
6,695
81
589
6,025
2,805129156104101315443677361344175
3,22059213
3126981686913312533059
49,260
1,808
1,978
11,256
4,342
20,228
9,6481,1932,1986,257
June1996
58,056
47,331
6,593
80
614
5,899
2,829133157102102321454685359344173
3,07053311
3006381656893252433154
51,463
1,915
2,036
11,433
4,424
20,930
10,7251,1732,2707,282
July1996
57,109
47,264
6,543
80
623
5,840
2,79413215310099316452680354340168
3,04655111
2946151646883242432550
50,566
1,891
2,037
11,434
4,443
20,916
9,8451,1712,2096,465
Aug.1996
57,248
47,445
6,619
78
625
5,916
2,822134156102101320451681362342173
3,09457512
2976251656893252533052
50,629
1,892
2,043
11,476
4,447
20,968
9,8031,1652,2086,430
Total
Total private
Goods-producing
Mining
Construction
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing ,
Nondurable goodsFood and kindred products ,Tobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
Service-producing
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
GovernmentFederalStateLocal
NOTE: Establishment survey estimates are currently projected fromMarch 1995 benchmark levels. When more recent benchmark data are
introduced, all unadjusted data from April 1995 forward are subject torevision.
72
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry
(In thousands)
State and areaSept.1995
1,810.6442.1442.1210.6150.774.5
275.7124.3
1,793.51,223.1
300.6
1,084.9131.993.4
295.135.3
12,559.0172.2271.2
3,779.8132.4897.8
1,151.3778.0597.6111.4981.2918.7838.3143.1153.5167.3144.3238.6
1,860.4147.7201.8994.8
1,574.1179.883.3
588.5242.6133.2190.883.4
370.251.3
282.5
643.22,419.0
6,022.0145.9587.0143.7110.0485.3160.9166.9936.5715.3146.6206.8146.3999.3393.3
Total
Aug.1996
1,808.7443.4443.4218.8153.073.6
283.0124.9
1,838.41,263.5
302.5
1,085.8134.292.2
297.135.0
12,747.5171.2269.4
3,824.8136.1911.5
1,171.9788.3609.2113.4989.2922.4869.5145.3152.0169.3145.1240.3
1,893.0149.9207.1
1,009.4
1,571.2178.680.5
576.7243.2135.2196.585.5
378.053.4
286.4
625.22,411.9
6,079.8146.0597.6146.5107.4489.5159.3169.3938.0726.5147.1212.7145.6
1,011.0396.0
Sept.1996P
1,819.5445.5445.5219.8153.275.1
278.4125.0
1,868.71,284.7
310.0
1,102.0136.693.4
300.935.6
12,850.6174.8269.4
3,862.0133.9916.2
1,181.4796.6612.2113.6992.4924.8868.5145.5155.5170.4146.5240.5
1,893.4152.4208.2
1,009.3
1,589.5180.381.9
585.6242.3134.1194.985.7
376.453.8
286.7
627.32,427.7
6,183.3148.7607.0148.6110.4495.8162.2169.3949.9737.8149.8215.2149.8
1,028.1403.0
Sept.1995
10.93.3
( 1 )( 1 )( 1 )
2.6
10.32.6
12.45.22.2
3.5( 1 )
.9( 1 )( 1 )
29.910.6
.65.9
( 2 )2.4
.91.3.3.1.3.5.1
1.3.5.1.4
2.0
15.0( 1 )( 1 )
7.5
.8( 2 )( 1 )< >( 1 )( )( 1 )( 2 )
.1( 2 )
.2
.1
.8
6.9( 2 )
.2( 2 )( 2 )( 2 )
3.6( 2 )
.3( 2 )( 2 )( 2 )( 2 )
.4( 2 )
Mining
Aug.1996
11.13.4
C1)(1)(1)
2.6
10.12.6
12.65.12.4
3.5( 1 )
.8( 1 )( 1 )
28.610.6
.55.9
( 2 )2.31.01.1.3.1.3.6.1
1.1.4.1.4
1.7
14.0( 1 )( 1 )
7.2
.8( 2 )( 1 )( >( 1 )( )( 1 )( 2 )
.1( 2 )
.2
.1
.9
7.2( 2 )
.2( 2 )( 2 )( 2 )
3.8( 2 )
.3( 2 )( 2 )( 2 )( 2 )
.4( 2 )
Sept.1996P
11.23.4
( 1 )( 1 )( 1 )
2.6
10.12.6
12.55.12.3
3.5( 1 )
.8( 1 )( 1 )
28.510.5
.55.9
( 2 )2.31.01.1.3.1.3.6.1
1.1.4.1.4
1.6
13.6
0)(M
6.9
.8( 2 )( ' )( )( 1 )
(])(1)(2)
.1( 2 )
.2
.1
.9
7.0( 2 )
.2( 2 )( 2 )( 2 )
3.8( 2 )
.3( 2 )( 2 )( 2 )( 2 )
.4( 2>
Construction
Sept.1995
89.423.223.215.28.15.0
16.28.0
119.183.619.8
47.25.63.4
13.9.7
520.08.8
14.1116.2
6.345.651.945.729.5
4.045.329.530.0
5.58.37.28.8
11.7
108.36.2
11.455.7
54.15.73.2
21.68.33.95.62.8
19.92.6
14.9
9.3117.7
306.47.3
33.410.93.8
24.97.88.5
37.536.99.4
10.45.4
44.823.4
Aug.1996
90.423.623.616.48.64.7
17.18.0
126.690.320.5
49.45.93.6
14.6.8
541.98.8
14.2125.6
6.548.153.948.131.64.3
45.530.332.55.88.77.59.5
12.0
118.97.0
13.460.4
59.26.43.0
22.49.94.85.63.1
21.62.5
15.6
9.4118.7
311.37.0
33.611.53.8
26.37.58.8
36.937.59.7
10.95.6
45.924.5
Sept.1996P
90.323.523.516.88.54.6
16.57.8
124.888.620.2
49.75.93.5
14.5.8
547.98.7
14.1127.2
6.547.754.548.731.6
4.345.830.332.8
5.98.87.79.5
12.2
116.96.8
13.159.8
57.76.43.0
22.09.34.75.33.1
21.42.5
15.8
9.3117.9
312.96.8
33.611.33.8
26.27.88.8
37.537.5
9.610.85.7
47.024.6
AlabamaBirminghamHuntsvilleMobileMontgomeryTuscaloosa
AlaskaAnchorage ,
ArizonaPhoenix-MesaTucson
ArkansasFayetteville-Springdale-RogersFort SmithLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldFresnoLos Angeles-Long BeachModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-LompocSanta RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoBoulder-LongmontColorado SpringsDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenNew London-NorwichStamford-NorwalkWaterbury
DelawareDoverWilmington-Newark
District of ColumbiaWashington PMSA
FloridaDaytona BeachFort LauderdaleFort Myers-Cape CoralGainesvilleJacksonvilleLakeland-Winter HavenMelbourne-Titusville-Palm BayMiamiOrlandoPensacolaSarasota-BradentonTallahasseeTampa-St. Petersburg-Clearwater....West Palm Beach-Boca Raton
See footnotes at end of table.
73
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued
(In thousands)
State and area
Manufacturing
Sept.1995
Aug.1996
Sept.1996P
Transportation andpublic utilities
Sept.1995
Aug.1996
Sept.1996P
Wholesale and retail trade
Sept.1995
Aug.1996
Sept.1996P
AlabamaBirmingham .,Huntsville ,MobileMontgomery.,Tuscaloosa ...
AlaskaAnchorage .
ArizonaPhoenix-Mesa.Tucson
ArkansasFayetteville-Springdale-Rogers .Fort SmithLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldFresnoLos Angeles-Long BeachModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-Lompoc.Santa RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoBoulder-Longmont .Colorado Springs ...Denver
ConnecticutBridgeportDanburyHartfordNew Haven-Meriden ...New London-Norwich .Stamford-NorwalkWaterbury
DelawareDoverWilmington-Newark .
District of Columbia ..Washington PMSA ..
FloridaDaytona BeachFort LauderdaleFort Myers-Cape CoralGainesvilleJacksonvilleLakeland-Winter HavenMelboume-Titusville-Palm BayMiamiOrlandoPensacolaSarasota-BradentonTallahasseeTampa-St. Petersburg-Clearwater.West Palm Beach-Boca Raton
5,197.75,419.55,419.55,784.3
17.910.6
5,892.62.3
5,079.7149.727.6
4,652.04,178.84,506.94,617.25,125.6
7,225.05,551.34,807.05,787.55,695.26,653.75,711.24,986.45,992.05,466.65,243.05,736.26,832.05,357,65,808.55,990.86,416.15,170.1
5,589.529.825.0
5,703.0
6,415.06,295.26,288.36,572.45.604.56,536.15,809.95,810.4
5,952.55,048.17,251.0
13.05,815.3
4,909.813.741.66.35.6
35.220.326.676.550.311.119.84.9
86.329.4
5,399.95,499.65,499.66,194.5
17.610.6
5,771.92.2
5,320.4156.227.7
4,755.14,084.04,549.14,973.95,475.8
7,384.75,850.04,869.35,815.75,481.06,865.85,838.35,069.45,833.25,447.55,388.06,025.16,957.05,675.25,960.25,945.56,162.45,366.6
5,728.529.825.1
5,692.5
6,420.86,412.26,930.56,613.15,834.76,438.36,040.85,860.3
5,793.95,261.77,146.8
12.95,696.1
5,004.814.041.96.35.3
35.620.126.175.550.911.420.9
5.084.728.4
5,389.35,456.05,456.06,158.5
17.510.6
6,341.92.2
5,367.1156.928.0
4,802.04,166.14,511.95,098.75,168.4
7,451.75,851.14,829.45,900.85,578.66,931.55,843.95,128.75,963.55,621.65,340.36,034.47,050.95,764.86,012.36,054.56,478.15,443.2
5,785.329.825.3
5,709.5
6,537.26,597.06,821.56.770.36,101.96,552.56,181.05,957.8
6,003.55,151.57,410.0
12.85,612.8
5,052.414.142.36.35.5
35.420.126.175.750.911.420.8
5.085.028.6
89.730.030.013.26.42.4
24.612.3
86.160.213.5
65.59.46.1
20.52.0
641.39.5
13.6206.4
5.759.642.942.125.2
4.837.573.024.5
5.25.8
12.35.9
10.7
118.93.0
10.584.1
72.37.33.2
25.016.66.28.93.4
15.91.7
13.6
20.0114.3
304.03.8
28.76.52.1
34.18.44.4
78.037.36.75.23.7
43.714.4
88.828.828.813.76.62.3
24.812.0
89.362.913.4
65.99.36.0
20.61.9
647.59.4
13.5206.6
5.960.244.241.825.8
4.937.973.324.8
5.35.6
13.86.2
10.5
121.23.4
10.684.7
69.87.22.9
23.716.56.38.83.6
16.11.7
14.1
19.7118.3
311.33.9
29.56.42.3
34.58.34.6
80.137.76.85.43.6
43.714.7
89.128.828.813.86.62.3
24.512.1
89.463.013.4
66.79.26.1
20.81.9
649.99.6
13.5207.3
6.060.244.241.625.8
4.938.373.424.7
5.35.6
13.76.2
10.3
120.03.3
10.684.2
72.77.33.3
25.416.46.38.83.6
16.31.8
14.0
19.5117.8
311.03.9
29.56.42.3
34.58.34.5
80.437.8
6.85.33.6
43.814.7
415.1109.5109.556.635.217.2
56.530.2
448.9308.968.0
245.235.319.268.8
7.6
2,953.041.466.6
853.432.2
206.0290.2204.7132.429.8
230.9200.7168.634.940.139.937.657.5
465.033.645.9
244.1
341.640.021.8
123.250.328.542.216.4
85.013.459.2
52.0466.5
1,533.541.5
163.439.424.0
118.044.338.7
242.0175.634.951.032.1
243.9101.2
423.6110.8110.859.636.017.1
59.231.2
461.2322.0
68.7
252.137.219.171.07.5
3,006.742.464.1
870.032.2
210.8297.2209.5134.730.1
234.1200.1175.235.840.140.438.358.7
472.434.246.8
248.9
348.639.721.0
120.951.730.041.515.7
88.014.059.8
51.4472.9
1,572.542.9
168.641.423.7
120.944.840.2
241.3179.935.452.632.9
250.5101.8
424.3110.8110.859.536.017.3
57.530.7
463.7325.4
69.1
252.637.919.271.67.4
3,019.642.364.6
872.332.5
210.6297.3210.5134.530.1
234.5200.1175.535.540.540.838.558.1
470.334.747.0
246.3
348.140.020.8
121.151.229.341.215.5
86.814.259.5
52.0471.4
1,575.342.7
169.141.524.8
120.545.040.3
243.2180.335.252.733.9
251.3103.0
See footnotes at end of table.
74
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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,
Sept.1995
77.430.630.69.18.52.1
12.07.2
106.987.011.7
41.94.43.0
16.71.3
738.46.1
13.6224.4
4.552.984.729.040.56.3
55.295.628.6
7.39.68.35.5
12.1
113.25.49.8
75.9
132.79.93.6
73.113.93.4
21.84.0
41.51.7
36.7
29.8134.2
377.56.7
42.38.24.5
48.17.75.6
66.741.8
5.310.55.2
67.126.1
and real estate
Aug.1996
79.731.831.8
9.58.62.2
11.97.1
109.189.912.2
42.84.62.9
17.11.3
737.76.0
13.1224.2
4.552.885.029.141.36.5
55.694.528.2
7.19.38.45.9
12.3
116.45.6
10.078.2
133.19.73.5
71.614.33.7
23.54.1
43.41.6
38.6
29.6133.8
385.66.7
43.78.44.5
47.57.55.6
68.542.2
5.410.55.5
70.226.2
Sept.1996P
79.331.731.7
9.58.62.2
11.87.0
109.290.012.3
42.64.53.0
17.21.3
736.35.9
12.9224.0
4.552.584.829.041.26.3
55.394.428.2
7.19.48.45.9
12.2
115.85.59.9
77.9
131.99.73.6
70.914.03.6
23.14.0
43.11.5
38.3
29.5132.8
385.46.7
43.58.34.4
47.37.65.6
68.742.4
5.510.55.6
70.526.3
Sept.1995
401.6125.8125.857.339.012.8
63.833.7
520.3363.091.1
243.025.523.382.78.1
3,787.940.468.7
1,217.629.1
258.4350.5200.4162.630.8
314.8324.2267.1
45.042.039.537.673.0
544.644.866.3
299.0
470.455.523.2
159.382.732.868.026.7
98.011.378.8
267.9885.7
2,074.749.7
196.049.031.1
160.044.158.7
302.6292.7
50.785.037.2
380.7147.8
Services
Aug.1996
410.2129.4129.461.140.613.2
67.134.7
547.4386.392.9
248.626.022.884.8
8.3
3,922.640.971.0
1,252.829.4
266.9366.4203.7168.131.3
327.0327.2278.445.243.739.737.973.4
568.046.969.3
306.6
478.256.423.3
159.281.033.374.128.9
102.312.482.4
263.4903.3
2,142.450.7
203.950.931.3
165.444.559.4
309.2305.652.988.938.2
392.9153.7
Sept.1996P
411.9129.5129.561.340.913.3
65.934.7
550.3388.0
93.4
250.026.322.985.0
8.3
3,935.741.370.0
1,268.729.5
266.7366.0206.2168.131.4
321.2327.4276.9
45.143.340.138.473.4
556.846.668.6
303.5
480.156.123.1
159.382.233.373.428.9
102.112.783.0
266.2904.8
2,156.250.7
204.951.131.3
166.844.459.6
310.9307.153.189.438.4
393.6154.6
Sept.1995
335.866.266.232.235.621.8
73.328.0
305.9165.566.7
179.417.39.6
57.27.9
2,068.345.862.4
523.122.0
166.6125.8160.4165.326.1
182.3122.884.427.825.233.931.841.3
302.424.932.9
140.4
221.219.88.8
96.030.330.716.811.7
48.514.234.3
251.1606.4
938.623.281.423.338.964.624.724.4
132.980.328.324.957.6
132.451.0
Government
Aug.1996
327.665.665.631.635.020.9
70.127.1
292.4150.864.7
168.017.09.2
54.87.2
2,006.543.761.1
506.822.3
160.1118.1158.1163.826.3
175.2122.683.127.821.731.829.641.3
285.823.031.9
132.8
206.318.97.7
89.830.231.616.311.8
48.814.734.1
238.7570.8
872.020.876.221.536.558.922.824.6
126.272.225.323.454.6
122.746.7
Sept.1996P
335.067.267.231.935.122.2
73.527.9
317.7167.771.3
181.018.410.157.57.9
2,082.947.162.9
521.622.3
166.2126.4162.7167.626.7
183.5124.583.628.324.833.230.542.2
303.825.733.7
140.4
222.220.59.0
96.729.531.616.812.1
49.114.634.6
237.9588.5
957.123.883.923.638.364.725.224.4
133.281.428.025.657.4
136.551.2
AlabamaBirminghamHuntsvilleMobileMontgomeryTuscaloosa
AlaskaAnchorage
ArizonaPhoenix-MesaTucson
ArkansasFayetteville-Springdale- RogersFort SmithLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldFresnoLos Angeles-Long BeachModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-LompocSanta RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoBoulder-LongmontColorado SpringsDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenNew London-NorwichStamford-NorwalkWaterbury
DelawareDoverWilmington-Newark
District of ColumbiaWashington PMSA
FloridaDaytona BeachFort LauderdaleFort Myers-Cape CoralGainesvilleJacksonvilleLakeland-Winter HavenMelbourne-Titusville-Palm BayMiamiOrlandoPensacolaSarasota-BradentonTallahasseeTampa-St. Petersburg-Clearwater....West Palm Beach-Boca Raton
See footnotes at end of table.
75
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued
(In thousands)
State and area
Total
Sept.1995
3,450.157.565.9
1,840.5190.4109.9143.3128.2
521.8399.1
489.0182.1
5,658.775.695.4
3,940.7172.155.342.8
161.5174.4111.3
2,816.764.2
117.6149.0263.9257.7803.6
54.884.760.4
133.972.3
1,368.3106.9263.5
50.763.063.569.6
1,214.244.298.3
258.7
1,662.4257.1534.043.3
1,799.953.5
273.366.3
148.982.466.8
603.5165.2
555.342.0
133.2
Aug.1996
3,555.658.869.7
1.918.1190.2113.2143.8131.8
521.8397.8
505.2190.1
5,713.173.792.2
4,000.9171.856.342.4
165.9175.0115.8
2,775.061.2
120.4147.1259.7257.3797.1
55.882.156.2
128.368.8
1,370.9106.4265.3
48.762.363.166.8
1,218.343.499.4
259.8
1,672.0259.8541.1
43.8
1,793.052.9
274.567.8
150.682.865.9
598.9165.4
551.639.7
134.6
Sept.1996P
3,550.058.968.4
1,911.9192.1113.9144.9133.2
514.7392.7
512.3190.5
5,739.876.294.1
4,010.9172.956.742.9
167.0174.9111.4
2,835.466.4
120.8148.2267.3263.6804.456.489.960.3
129.572.9
1,387.9108.4264.2
49.463.163.369.7
1,233.244.599.0
265.1
1,690.6265.4542.8
44.2
1,813.553.0
279.168.1
151.183.266.9
601.9166.9
556.141.2
135.1
Mining
Sept.1995
7.8( 2 )( 1 )
1.6.6
( 1 )1.2
( 1 )
( 1 )
( 1 )
2.9( 1 )
13.6( 1 )( 1 )
1.8( 1 )( 1 )( 1 )( 1 )( )( 1 )
6.7( 1 )( 1 )
1.2(1 )( 1 )
.8(1 ){))
(1 ).2
2.3/1 \( 1 )( 1 )
(])(1)
8.0( 1 )( 1 )
1.4
24.5.2.6.4
47.1.1.8
5.411.91.5.2
13.92.4
.1( 2 )( 2 )
Aug.1996
7.6(2 j( 1 )
1.6.6
( 1 )1.2
( 1 )
3.2( 1 )
13.6(1 )( 1 )
1.8( 1 )( | )
(1 )( 1 )( 1 )
6.6( 1 )( 1 )
1.3(1 )
( 1 ).8
( 1 )
(]).2
2.2/1 \( 1 )( 1 )( 1 )( 1 )( 1 )
8.1( 1 )( 1 )
1.4
24.7.2.6.4
48.1.1.9
5.912.5
1.5.2
14.42.5
.1(2 )( 2 )
Sept.1996P
7.5(2 J( 1 )
1.6.6
( 1 )1.1
( 1 )
( 1 )
( 1 )
3.1( 1 )
13.6(1 )( 1 )
1.8(1 )( 1 )
(J)( 1 )( 1 )
6.6(1 )(1 )
1.3(1 )(1 )
.8( 1 )( 1 )( 1 )(1 )
.2
2.2/1 \( 1 )( 1 )( 1 )( 1 )( 1 )
8.1( 1 )( 1 )
1.4
24.8.2.6.4
47.8.1.9
6.112.51.5.2
14.32.5
.1( 2 )( 2 )
Construction
Sept.1995
159.83.72.7
86.010.44.96.46.9
26.620.5
33.413.8
237.02.73.2
156.19.54.03.17.97.25.0
136.23.04.79.2
12.817.843.7
1.63.72.67.03.5
61.25.8
12.12.12.23.52.9
55.31.84.2
13.3
77.412.127.5
3.2
111.63.6
28.42.88.59.53.5
29.08.5
24.61.85.6
Aug.1996
163.24.03.0
85.710.75.07.07.7
24.318.0
37.414.9
237.02.83.5
158.49.23.93.08.07.25.1
143.93.64.89.7
14.219.145.0
1.84.02.67.53.0
64.06.2
13.02.12.03.53.1
59.82.14.5
14.0
79.413.128.1
3.2
113.23.5
29.72.98.29.83.4
28.48.6
24.61.86.7
Sept.1996P
162.73.92.8
86.310.74.96.87.9
24.017.9
37.114.8
236.92.73.3
158.79.24.03.07.87.25.1
141.33.54.79.5
13.918.944.6
1.83.92.47.33.0
62.76.1
12.72.02.03.43.1
58.91.94.4
13.9
79.012.927.6
3.2
114.53.5
30.02.98.2
10.23.4
28.48.7
24.91.76.6
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDes MoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyLexingtonLouisvilleOwerss&oro
LouisianaAlexandriaBaton RougeHoumaLafayetteLake CharlesMonroeMew OrieansShrevepcri-Bossier City
MaineLewiston-AuburnPortland
See footnotes at end of table.
76
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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 areaSept.1995
5,364.08.3
11.65,685.1
42.221.120.4
6,863.7
5,138.35,420.3
5,049.832.0
6,454.18,751.64,561.76,118.86,259.56,540.15,885.26,386.56,283.54,977.5
6,953.74,121.64,808.65,728.46,205.88,141.66,966.7
10,152.56,635.06,887.05,724.16,364.5
5,883.37,046.76,184.15,764.4
5.24,710.0
14.6
5,585.05.1
6,101.16,320.1
5,571.46,049.16,076.8
7.2
6,232.63.3
7,250.55.8
15.811.28.3
6,422.06,183.5
5,274.74,074.64,527.4
Manufacturing
Aug.1996
5,492.38.8
12.15,446.1
42.121.920.1
6,973.5
5,115.05,261.8
5,019.034.6
6,556.58,125.44,714.36,248.56,558.07,015.66,109.86,679.66,617.84,895.6
6,971.14,245.35,014.65,684.46,245.08,202.07,332.19,895.66,762.96,510.45,530.36,421.9
5,873.16,630.45,730.56,491.2
5.34,232.2
14.4
5,864.05.2
5,988.76,932.3
5,774.15,936.06,081.5
7.1
6,426.43.3
7,410.66.2
15.511.38.4
6,516.96,085.8
5,323.64,568.24,511.3
Sept.1996P
5,567.68.6
12.15,547.1
42.122.020.5
7,079.9
5,333.95,452.4
4,934.734.6
6,628.28,058.14,694.16,291.66,485.57,011.16,042.76.728.46,606.74,918.9
7,087.94,189.35,038.95,748.06,281.58,411.17,378.1
10,573.76,544.06,640.05,528.56,614.3
5,991.57,057.75,850.56,245.0
5.44,565.5
14.5
5,912.05.2
6,153.47,112.8
5,915.95,963.36,312.6
7.1
6,519.73.3
7,344.86.2
15.611.48.4
6,776.36,127.8
5,458.84,848.84,733.4
Transportation andpublic utilities
Sept.1995
216.43.11.9
149.75.73.75.49.7
40.633.1
23.58.9
326.12.92.7
240.18.95.22.09.48.75.9
140.41.83.47.2
13.215.947.9
1.12.16.05.53.8
61.67.2
12.92.12.13.82.0
68.01.26.1
10.1
92.710.237.32.1
108.23.1
12.96.58.74.43.9
42.48.1
22.51.76.3
Aug.1996
225.93.01.9
157.45.83.65.39.5
40.433.0
24.08.7
327.12.92.6
238.08.95.22.09.38.95.8
140.51.93.47.2
12.715.248.1
1.12.14.45.84.4
63.17.1
13.22.01.93.92.0
70.11.16.39.7
93.710.637.32.2
108.82.9
12.76.99.04.63.8
42.38.0
22.41.86.4
Sept.1996P
225.63.01.9
157.25.83.65.39.6
40.332.9
24.28.9
330.32.92.6
240.28.95.22.09.48.95.8
141.01.93.37.1
12.915.448.2
1.12.14.35.84.6
63.27.1
13.12.01.93.92.1
70.11.16.3
10.0
93.710.637.6
2.2
109.02.8
12.77.09.04.43.8
42.38.1
22.41.96.3
Wholesale and retail trade
Sept.1995
880.213.716.5
498.141.324.933.233.3
135.6101.5
123.443.6
1,324.217.021.2
920.747.912.511.040.335.623.4
673.714.922.637.563.062.7
205.811.717.914.134.121.5
344.524.770.912.012.716.016.9
299.911.321.961.5
402.858.7
132.810.5
421.511.863.517.238.418.016.9
149.538.3
144.310.640.6
Aug.1996
918.613.817.1
524.141.725.333.234.3
134.3100.7
129.045.1
1.352.317.420.9
947.748.212.610.940.536.125.7
687.514.323.435.761.964.1
209.411.917.013.233.821.0
350.424.770.812.612.716.116.7
308.010.922.162.9
408.159.0
134.710.8
428.611.964.617.339.117.817.2
148.238.7
149.710.343.2
Sept.1996P
912.514.117.3
519.341.725.433.234.5
133.4100.1
128.945.0
1,351.817.521.4
947.348.012.710.940.436.123.7
686.214.923.335.861.864.0
208.811.817.813.433.721.5
349.524.669.412.313.116.116.7
308.611.322.163.0
410.059.3
134.110.7
430.111.864.817.039.017.717.3
148.638.6
146.510.542.8
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
IllinoisBloomlngton-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDes MoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyLexingtonLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHoumaLafayetteLake CharlesMonroeNew OrleansShreveport-Bossier City
MaineLewiston-AuburnPortland
See footnotes at end of table.
77
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT 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
Sept.1995
176.02.22.1
118.36.77.28.44.4
37.230.5
24.311.5
383.213.73.2
302.28.02.81.77.97.17.8
131.62.42.77.2
13.89.1
57.51.43.71.86.42.3
76.95.6
36.21.61.72.63.0
58.01.86.5
11.2
65.69.5
28.71.8
80.62.2
15.62.25.72.74.4
30.16.3
26.01.9
11.7
Aug.1996
177.62.22.0
119.56.77.68.54.6
36.430.0
24.211.9
390.313.53.3
307.98.03.01.78.07.27.9
135.82.32.87.3
14.59.8
59.91.53.81.76.22.3
79.05.6
37.11.61.82.73.0
59.71.96.6
11.2
66.89.7
29.11.8
80.82.2
15.92.25.82.64.5
30.46.5
26.82.0
12.1
Sept.1996P
177.12.22.0
119.36.77.68.54.5
36.329.9
24.212.0
387.513.63.2
306.07.92.91.78.07.27.9
134.62.32.87.3
14.59.6
59.51.53.81.76.32.3
78.35.6
37.01.61.82.73.0
59.51.96.6
11.2
66.89.6
29.11.8
80.82.2
16.02.15.82.74.6
30.46.4
26.42.0
12.1
Sept.1995
857.114.213.0
528.144.027.832.536.1
164.0120.1
112.444.1
1,603.417.520.2
1,178.742.113.510.851.045.031.3
636.911.718.540.160.262.5
205.89.5
16.314.843.017.1
344.230.973.116.312.917.717.4
294.29.9
26.170.6
397.267.4
149.611.9
481.015.670.213.736.B22.116.9
187.549.4
153.412.638.6
Services
Aug.1996
905.114.513.2
567.344.929.733.638.2
165.0119.8
122.347.6
1,642.917.719.9
1,217.343.913.211.251.544.833.5
639.211.620.440.560.967.7
210.39.8
16.614.640.816.6
352.631.673.516.113.517.716.9
296.59.7
26.369.9
412.970.3
156.112.4
477.315.769.814.137.722.616.7
185.549.9
158.112.537.5
Sept.1996P
898.414.613.6
562.644.829.533.638.4
164.9120.0
121.947.2
1,639.917.619.6
1,216.443.613.211.151.044.331.4
643.811.720.440.860.768.5
210.59.8
16.614.741.617.1
356.431.973.516.613.417.417.3
296.510.026.370.1
413.470.5
156.212.6
479.015.770.014.037.722.616.6
186.850.1
155.312.836.7
Sept.1995
564.112.318.1
245.039.520.335.820.8
100.880.4
96.728.2
798.813.333.2
482.625.1
5.86.8
18.816.233.6
404.320.4
8.214.726.237.0
115.27.5
19.29.9
14.611.0
226.611.632.8
3.526.2
7.012.8
237.813.123.832.9
287.755.767.4
6.2
359.613.858.012.723.113.012.7
103.932.1
92.04.7
17.3
Government
Aug.1996
566.812.520.4
246.037.720.134.920.5
104.983.6
89.927.3
768.710.930.5
470.023.4
5.46.1
16.816.333.5
339.116.77.1
14.521.129.695.0
7.017.28.8
11.79.3
209.710.632.5
3.025.1
6.610.7
218.812.523.628.9
276.753.066.6
5.9
346.113.356.712.322.812.611.7
103.330.7
79.43.6
15.6
Sept.1996P
575.912.518.7
248.039.720.935.921.2
99.579.2
97.328.0
800.813.332.4
480.925.2
5.86.7
18.616.733.2
399.921.48.1
15.528.635.8
103.37.7
24.413.012.312.3
225.211.833.63.7
25.57.2
13.0
233.913.123.633.2
293.358.468.9
6.2
361.213.660.512.823.312.712.6
104.432.1
91.34.7
17.7
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDesMoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyLexingtonLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHoumaLafayetteLake CharlesMonroeNew OrleansShreveport-Bossier City
MaineLewiston-AuburnPortland
See footnotes at end of table.
78
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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
Sept.1995
Aug.1996
Sept.1996P
Mining
Sept.1995
Aug.1996
Sept.1996P
Construction
Sept.1995
Aug.1996
Sept.1996P
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C
MassachusettsBarnstable- YarmouthBoston :..BrocktonFitchburg-LeominsterLawrenceLowellNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn ArborBenton HarborDetroitFlintGrand Rapids-Muskegon-HollandJacksonKalamazoo-Battle CreekLansing-East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St. PaulRochesterSt. Cloud
MississippiJackson
MissouriKansas CitySt. LouisSpringfield
Montana
NebraskaLincolnOmaha
NevadaLas VegasReno
New HampshireManchesterNashuaPortsmouth-Rochester
New JerseyAtlantic-Cape MayBergen-PassaicCamdenJersey CityMiddlesex-Somerset-Hunterdon ..Monmouth-OceanNewarkTrentonVineland-Millville-Bridgeton
New MexicoAlbuquerqueLas CrucesSanta Fe
See footnotes at end of table.
2,197.21,136.0
408.7807.6
2,998.958.3
1,818.091.251.2
144.6107.063.741.5
245.4213.1
4,277.1256.4
71.52,013.3
181.6521.1
59.3207.2224.6175.1
2,392.3107.2
1,547.569.882.3
1,084.6212.1
2,544.3871.9
1,257.2152.9
359.5
821.3138.5138.5
808.3559.4171.6
547.593.784.8
111.3
3,623.6181.8619.9449.5238.8574.0353.6931.7193.858.2
697.5326.749.470.8
2,194.71,134.4
405.8797.1
3,019.964.0
1,835.290.651.0
146.0106.163.843.2
243.5215.3
4,315.8250.5
71.02,068.6
177.1527.9
59.3201.1219.4175.2
2,433.4107.2
1,573.571.680.9
1,073.6209.8
2,546.2889.6
1,249.1150.6
364.4
829.0139.1139.1
850.6593.7174.3
549.591.484.9
110.2
3,659.9193.3620.5454.1239.6577.6369.5932.3193.058.0
717.6335.650.071.9
2,205.31,138.3
405.4808.5
3,038.959.2
1,840.091.752.4
147.8108.164.742.2
249.8218.0
4,372.3258.5
71.52,088.5
180.6535.9
59.9206.6227.9177.0
2,447.6107.8
1,574.271.883.8
1,075.5208.6
2,583.3894.4
1,262.3155.4
367.0
835.7140.3140.3
861.7601.6176.9
551.692.686.8
110.5
3,653.8184.3623.0455.4240.9580.7360.0932.8192.758.6
721.1338.951.771.6
1.2.2
1.4
.5
O2.1.1.2
8.5(J)( 1 )
8.45.1
4.9
4.8( )( >1
5.4
1.3
13.21.9.7
.5
2.1
.81 )
.2
15.5
1.2.2
1.4
.5
.1
.1
.2
8.3
<;>
0)8.55.1
4.9
5.2( )( )
1
5.4
1.3
14.72.1
.6
.6
2.1( )
.51 )
.8
.2
16.8( ! )( )
( ! )
1.2.2
( 1 )1.5
.1
.1
.2
8.0
8.45.0
5.0
5.1( )
O1
5.2
1.2
14.62.1
.6
C)2
( ! )
.5
2.1
.5)
.8)
.2
16.8
132.163.312.355.4
97.72.4
54.53.31.85.85.02.41.57.56.9
169.78.62.3
73.36.3
23.62.27.97.49.6
94.34.5
59.42.74.5
46.99.7
115.343.563.57.1
18.8
37.06.06.0
66.050.211.4
21.24.22.93.5
129.65.9
23.020.2
3.919.817.732.74.61.9
47.123.3
3.33.6
132.763.212.255.2
101.52.5
56.13.41.86.14.82.81.68.27.7
186.59.32.5
78.06.9
26.62.48.17.78.9
99.14.0
64.22.84.3
51.510.8
118.146.965.56.9
18.1
38.36.06.0
76.159.911.3
21.84.63.23.2
130.56.6
23.120.74.0
20.518.529.94.52.1
50.324.6
3.73.7
132.262.812.155.6
100.22.5
55.73.31.86.14.92.71.67.97.8
185.09.12.4
78.56.8
25.72.38.17.59.1
97.14.1
62.72.84.2
51.510.6
115.946.264.6
6.8
17.8
37.26.16.1
77.160.811.4
21.34.43.13.2
129.36.2
22.820.5
3.920.418.430.3
4.52.0
49.324.4
3.53.6
79
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued
(In thousands)
State and area
Manufacturing
Sept.1995
Aug.1996
Sept.1996?
Transportation andpublic utilities
Sept.1995
Aug.1996
Sept.1996P
Wholesale and retail trade
Sept.1995
Aug.1996
Sept.1996P
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C..
MassachusettsBarnstable-Yarmouth..BostonBrocktonFitchburg-Leominster.LawrenceLowellNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn ArborBenton HarborDetroitFlintGrand Rapids-Muskegon-Holland .JacksonKalamazoo-Battle CreekLansing-East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St. Paul.RochesterSt. Cloud
Mississippi .Jackson ...
MissouriKansas City .St. LouisSpringfield....
Montana.
Nebraska .Lincoln ..Omaha..
NevadaLas Vegas.Reno
New HampshireManchesterNashuaPortsmouth-Rochester.
New JerseyAtlantic-Cape MayBergen-PassaicCamdenJersey CityMiddlesex-Somerset-Hunterdon .Monmouth-OceanNewarkTrentonVineland-Millville-Bridgeton
New MexicoAlbuquerque ..LasCruces ....Santa Fe
6,002.46,205.0
32.835.9
6,017.92.3
6,077.010.513.735.427.414.67.6
5,469.55,384.3
8,537.17,771.0
21.78,764.1
10,778.16,162.55,354.56,852.88.545.79,189.8
5,992.44,985.36,309.0
10.55,169.9
4,501.74,573.3
5,779.66,341.06,834.94,355.1
5,221.4
4,958.05,653.85,653.8
5,463.55,681.8
12.5
5,281.15,270.46,281.14,995.9
6,312.06.7
111.456.531.593.021.9
140.922.613.9
4,463.84,708.8
2.92.0
6,054.56,424.1
31.935.9
6,096.62.3
6,323.410.513.535.028.213.57.7
5,531.45,620.8
8,545.58,285.7
20.99,003.4
10,619.46,366.25,354.37,137.99,081.89,814.4
6,117.75,009.36,332.4
10.75,163.0
4,570.85,036.0
5,741.46,601.06,480.24,465.4
5,213.1
5,065.26,307.56,307.5
5,750.25,457.7
13.0
5,361.05,407.46,367.14,864.3
6,426.46.0
106.755.829.890.821.6
140.121.014.0
4,558.44,932.2
2.92.0
6,175.56,599.1
31.836.4
6,140.32.3
6,387.210.613.535.028.414.07.6
5,648.35,706.9
8,848.68,543.9
21.09.223.2
11,110.26,506.25,554.37,010.28,996.69,949.6
6,217.35,181.26,439.1
10.65,164.7
4,640.75,120.5
5,943.96,634.06,662.14,565.7
5,380.1
5,232.86,252.26,252.2
5,840.55,414.7
13.0
5,555.25,713.96,508.05,154.9
6,498.06.0
107.255.529.991.121.0
140.720.913.9
4,606.04,971.2
3.02.1
105.756.119.534.3
129.12.8
81.04.91.94.65.72.51.29.99.4
166.25.43.0
91.15.2
18.53.76.76.17.3
118.26.6
85.12.02.8
50.214.5
160.968.380.1
9.3
21.2
50.07.77.7
41.228.711.1
20.35.72.24.0
253.77.6
29.722.429.647.520.483.0
7.42.7
31.014.01.81.2
106.155.619.435.0
124.72.8
78.14.81.64.35.52.21.29.39.1
171.05.42.9
92.75.3
19.13.66.76.17.2
119.06.0
85.32.12.8
49.014.3
165.369.881.09.4
21.1
50.37.47.4
43.029.711.7
20.36.62.34.2
244.37.2
28.221.729.246.019.679.4
7.12.8
30.614.0
1.61.2
106.356.619.634.8
129.52.7
80.14.81.94.65.72.41.1
10.09.3
171.35.32.9
92.55.3
19.13.66.76.07.2
121.66.4
87.62.12.8
49.114.3
165.570.381.79.6
21.1
50.47.67.6
42.929.711.7
20.96.52.34.3
250.57.2
29.423.330.246.919.979.8
7.22.9
31.314.21.81.2
535.4266.6
68.4196.7
693.021.3
397.130.712.334.822.916.110.557.348.3
1,005.650.815.8
473.044.0
127.514.745.550.344.9
580.428.3
368.114.625.1
231.150.5
606.7213.8297.6
44.8
99.4
206.230.030.0
159.9112.037.6
142.823.321.128.6
857.539.8
174.1121.957.9
135.597.2
185.731.211.4
166.778.310.815.9
541.4268.868.0
196.7
710.124.4
403.430.512.435.723.216.611.158.448.5
1,036.150.416.5
495.844.9
132.615.345.749.846.3
597.329.1
379.014.825.4
229.050.0
616.1217.9301.8
43.7
101.2
207.829.529.5
173.3122.340.3
148.723.221.630.3
871.446.0
173.8123.758.0
134.6103.2185.631.611.1
174.582.711.316.7
537.6266.7
67.1196.6
701.221.3
401.230.512.635.822.716.510.859.448.1
1,035.650.716.2
497.044.7
133.115.145.750.246.3
596.029.0
375.314.725.6
227.549.2
614.9216.8298.7
44.2
100.1
209.429.829.8
174.2122.940.5
143.523.421.228.9
869.441.3
175.1123.958.3
135.799.3
187.132.011.2
173.382.311.516.4
See footnotes at end of table.
80
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry -
(In thousands)
- Continued
State and area
Finance, insurance,and real estate
Sept.1995
127.971.135.048.4
204.43.3
149.02.91.54.93.91.92.0
13.215.1
196.69.82.5
108.06.2
21.21.8
10.712.76.4
139.33.3
110.32.12.5
40.315.1
146.162.276.96.5
15.7
52.98.98.9
36.627.4
7.7
29.27.73.26.1
227.86.2
34.721.923.042.617.667.210.53.4
29.715.6
1.93.1
Aug.1996
129.069.934.347.6
206.63.5
150.63.01.44.93.92.02.0
13.315.7
201.19.82.6
113.06.1
21.91.8
10.712.96.4
143.63.5
113.22.22.6
40.015.0
152.363.678.1
6.8
16.0
52.79.39.3
38.528.6
8.2
29.56.73.66.1
232.76.4
35.122.723.344.118.168.310.83.4
31.016.12.03.2
Sept.1996P
127.869.534.147.6
204.63.3
149.12.91.44.93.91.92.0
13.215.8
198.09.72.6
111.76.2
21.81.8
10.612.86.3
142.93.5
112.12.22.6
39.414.9
150.963.077.6
6.7
15.8
52.49.39.3
38.528.7
8.1
29.26.63.46.1
230.16.3
35.122.523.243.418.067.310.53.4
30.716.12.03.2
Sept.1995
700.2368.7150.7265.6
1,035.818.9
697.723.313.041.928.216.513.974.661.6
1,122.959.417.4
601.647.1
126.813.851.953.444.1
655.330.0
441.930.620.1
234.854.9
696.1247.8386.6
44.4
99.1
213.434.334.3
356.6259.4
68.9
156.030.421.428.5
1,098.386.4
180.4133.054.0
159.4117.3283.4
66.612.0
194.4103.510.220.8
Services
Aug.1996
712.0373.3152.1268.4
1,063.620.9
718.623.213.844.027.417.515.074.863.3
1,172.959.517.4
632.747.8
128.413.951.654.245.0
673.730.0
454.332.219.8
239.454.9
709.3258.3394.343.6
105.9
219.935.035.0
371.5272.768.8
159.528.420.828.9
1,142.993.1
185.6137.555.8
167.9126.3291.068.312.2
205.3107.4
11.021.6
Sept.1996P
708.0374.2152.6267.6
1,065.919.4
717.624.013.844.528.217.514.275.664.7
1,169.359.817.4
629.947.6
130.214.052.554.345.0
674.430.1
452.331.720.6
240.254.2
722.0258.1395.8
45.9
104.3
219.634.934.9
371.9273.4
68.9
158.528.422.028.1
1,133.089.5
185.8137.156.0
166.6121.7291.1
67.512.3
203.0107.511.021.3
Sept.1995
419.0207.3
90.0171.3
391.47.3
215.615.67.0
17.213.99.74.7
42.931.2
635.969.1
8.8223.924.252.210.134.263.722.6
362.821.2
206.37.3
12.2
220.945.2
391.6129.1151.017.3
76.2
148.034.434.4
97.359.221.7
75.610.27.4
21.3
550.929.266.673.638.975.761.5
138.050.912.7
166.262.218.524.2
Government
Aug.1996
397.7201.8
87.9158.3
369.17.6
207.715.26.5
16.013.19.24.5
39.530.1
572.262.4
8.2206.820.745.69.3
28.758.721.0
353.521.7
199.66.8
10.4
217.743.8
367.4123.7134.5
16.0
72.5
144.834.934.9
94.356.720.4
67.79.06.3
19.2
545.928.068.072.039.573.262.2
137.249.712.2
160.859.917.523.5
Sept.1996P
417.4206.4
88.1169.9
392.87.7
216.615.67.4
16.914.39.74.8
43.331.4
632.670.29.0
224.224.452.810.133.666.822.5
369.821.9
207.47.7
12.5
221.744.3
398.2131.2150.1
18.1
78.6
152.035.635.6
103.162.222.7
76.410.47.7
21.6
547.527.867.672.639.476.161.7
135.750.112.7
168.463.718.923.8
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C
MassachusettsBarnstable-YarmouthBostonBrocktonFitchburg-LeominsterLawrenceLowellNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn ArborBenton HarborDetroitFlintGrand Rapids-Muskegon-HollandJacksonKalamazoo-Battle CreekLansing-East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St. PaulRochesterSt. Cloud
MississippiJackson
MissouriKansas CitySt. LouisSpringfield
Montana
NebraskaLincolnOmaha
NevadaLas VegasReno
New HampshireManchesterNashuaPortsmouth-Rochester
New JerseyAtlantic-Cape MayBergen-PassaicCamdenJersey CityMiddlesex-Somerset-Hunterdon..Monmouth-OceanNewarkTrentonVineland-Millville-Bridgeton
New MexicoAlbuquerqueLas CrucesSanta Fe
See footnotes at end of table.
81
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees en nonfarm payrolls in States and selected areas by major industry — Continued
(In thousands)
State and area
Total
Sept.1995
Aug.1996
Sept.1996P
Mining
Sept.1995
Aug.1996
Sept.1996P
Construction
Sept.1995
Aug.1996
Sept.1996P
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsDutchess CountyElmiraGlens FallsNassau-SuffolkNew York PMSANew York CityNewburghRochesterRockland CountySyracuseUtica-RomeWestchester County
North CarolinaAshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High PointRaleigh-Durham-Chapel Hill
North DakotaBismarckFargo-MoorheadGrand Forks
OhioAkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldHamilton-MiddletownLimaMansfieldSteubenville-WeirtonToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton-Wilkes-Barre-HazletonSharonState CollegeWilliamsportYork
7,883.0429.3112.6542.5104.241.051.8
1,095.23,811.43,313.7
117.7526.299.3
334.5130.4378.9
3,490.8102.5718.4606.2563.3
305.546.690.148.7
5,291.7315.6176.4813.5
1,112.3791.1469.7113.276.878.350.6
312.8244.0
1,327.524.237.6
479.8354.5
1,446.7129.465.4
851.1129.0
5,265.8260.657.2
131.5337.6
85.6204.3
2,172.7673.8
1,056.7159.1271.8
46.765.553.1
158.1
7,922.4426.2109.1535.4104.941.754.2
1,101.33,826.53,328.8
117.4523.4100.0329.5128.3377.4
3,491.1101.1717.6604.5559.6
309.947.391.548.0
5,316.5312.6178.0819.5
1,119.0798.6464.0111.576.579.551.3
306.6242.7
1,346.224.339.1
488.8361.6
1,487.8131.065.0
877.6131.5
5,270.5259.7
58.2128.6344.9
87.0207.0
2,176.5667.5
1,053.5160.6274.2
45.862.252.8
159.2
7,948.0427.8111.9540.7106.041.651.3
1,108.13,841.43,342.4
117.3529.2100.7336.0129.2378.5
3,535.1103.0722.7611.0566.6
313.447.493.049.3
5,348.0317.2177.6823.2
1,121.8798.2468.4114.277.279.851.0
312.2246.4
1,359.224.139.2
495.9364.8
1,506.6132.667.2
887.0133.2
5,290.4262.358.0
131.2346.7
85.8208.3
2,184.8671.7
1,061.7163.3275.046.965.553.3
161.3
5.2.5
3.7< >( )
14.2.4.6.7
1.1.7.4
.4
.2
.6
32.31.1.1
6.97.9
1.8.2.1
1.0.2
19.6
( )
< >( )
3.6
.6
4.8.6
( 1 )( ] )
(1 )
< >( )
( J )( )3.8
< >
4.2
14.0.4.6.7
1.1.7.4
.5
.2
.6
31.41.2.1
6.77.5
2.0.2.1
1.3.2
19.4
( >
O< >
1
3.8
.6
( M< )
o< >
4.8.6
3.8
4.2
14.0.4.6.8
1.1.7.4
.5
.2
.5
30.81.2.1
6.67.5
2.0.2.1
1.3.2
19.3J
()( )
1
)3.8
).6
269.216.64.6
22.24.41.62.3
46.0115.792.4
4.718.63.3
14.24.0
18.0
179.25.6
39.327.229.1
15.62.75.72.5
223.312.98.9
38.045.033.417.66.73.62.61.7
13.810.6
49.1.9
1.418.113.8
74.76.72.9
47.36.8
215.210.52.84.7
13.65.1
11.680.811.252.7
7.111.7
1.52.52.47.8
278.716.94.8
22.44.11.82.5
46.5118.994.84.5
19.03.7
14.74.3
18.2
186.35.7
40.227.929.2
18.12.86.82.7
230.913.39.3
37.847.834.918.56.53.82.81.5
14.011.0
51.1.8
1.419.114.3
82.06.83.0
55.97.1
219.711.53.15.3
14.95.2
12.381.610.752.37.4
13.01.72.62.38.1
278.816.54.7
22.44.11.72.4
46.8121.096.4
4.318.74.0
14.44.1
18.3
185.65.6
40.027.728.9
17.52.76.52.5
228.613.49.0
38.247.534.418.36.53.72.81.6
13.910.8
50.3.8
1.419.213.9
82.57.13.0
56.37.1
217.211.33.05.1
14.84.9
12.381.211.152.8
7.212.6
1.62.62.47.9
See footnotes at end of table.
82
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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 areaSept.1995
6,328.66,095.64,505.27,380.84,784.05,213.14,926.84,828.04,853.64,638.94,470.06,528.26,729.46,114.14,728.35,256.7
5,374.04,350.64,928.34,790.14,994.3
4,629.22.5
4,585.64.1
7,652.35,351.85,603.26,425.76,719.25,958.07,505.67,571.87,093.76,724.37,419.17,859.37,227.9
5,265.71.93.8
5,422.75,466.5
5,596.05,407.45,125.25,683.94,359.1
6,484.75,431.04,688.05,943.95,228.93,917.45,401.26,309.4
61.26,280.65,952.34,911.86,172.24,687.64,545.15,583.7
Manufacturing
Aug.1996
6,335.85,982.14,490.57,274.64,462.65,261.94,879.84,904.55,017.34,850.24,791.06,483.76,941.96,175.54,785.95,083.9
5,515.44,496.25,209.64,848.95,290.0
4,860.22.6
4,833.33.6
7,690.45.399.15,646.76,523.16,678.16,068.47,576.57,620.36,681.27,059.17.450.57.579.57,309.9
5,334.82.03.7
6,047.25,483.6
5,644.45,353.75,096.15,631.14,483.3
6,595.65,449.34,639.56,240.65,356.54,106.25,474.06,347.5
59.56,533.46,136.75,064.86,291.64,863.74,807.65,787.7
Sept.1996P
6,430.86,109.54,521.67,630.34,467.45,243.15,320.54,957.74,944.54,755.84,749.66,692.96,899.46,331.74,845.35,169.4
5,497.14,528.25,227.04,841.95,232.7
4,946.22.6
4,899.64.2
7,884.05,471.85,736.66,644.86,905.16,152.57,748.77,897.96,969.97,120.17,447.77,891.87,509.2
5,307.02.03.7
5,948.25,700.6
5,770.35,384.55,237.55,894.54,628.4
6,696.85,611.14,785.36.555.75,440.04,138.25,479.46,420.8
59.76,636.86,114.35,126.26,472.54.954.34,770.05,860.1
Transportation andpublic utilities
Sept.1995
407.916.24.5
26.44.11.41.5
50.7232.1205.7
6.617.25.9
19.14.3
19.7
164.54.6
54.631.723.3
18.33.25.52.3
231.514.55.5
43.644.834.918.44.52.94.13.0
14.79.8
74.12.21.9
21.427.4
71.54.73.1
47.53.5
274.614.34.24.4
22.64.77.6
103.533.167.97.3
15.42.02.01.97.2
Aug.1996
398.915.94.5
25.34.31.41.5
48.2228.2203.3
6.316.55.8
18.44.2
18.3
165.94.8
53.032.322.9
18.33.35.52.4
232.614.45.6
43.944.835.118.04.32.94.12.8
14.69.8
77.22.22.0
23.327.6
73.64.93.2
48.53.5
264.514.24.34.6
22.84.66.9
100.733.565.8
6.814.6
1.91.91.96.5
Sept.1996P
407.916.24.5
26.34.41.41.4
50.3232.1206.0
6.717.46.1
18.44.3
19.2
164.84.7
52.932.322.9
18.43.25.62.5
232.514.25.6
43.945.035.018.04.42.94.22.8
14.59.7
76.92.22.0
23.427.4
74.14.93.2
48.93.6
272.714.74.24.6
23.14.87.0
104.033.566.8
7.315.2
1.92.01.86.7
Wholesale and retail trade
Sept.1995
1,624.291.323.6
132.420.810.411.9
288.1669.6557.132.2
110.922.678.728.085.7
808.724.6
176.1139.2118.3
79.511.726.113.3
1,287.377.143.2
212.6263.3214.0109.330.117.917.810.877.962.8
315.16.29.0
115.884.2
366.133.920.5
214.528.1
1,197.153.315.029.274.220.450.8
484.3114.6261.637.965.412.012.512.539.5
Aug.1996
1,642.992.523.3
131.321.211.212.7
296.1673.7559.9
32.1113.023.579.727.586.2
813.224.7
176.3139.8118.0
81.912.226.413.4
1,317.379.344.4
214.5268.2212.9110.631.018.018.111.077.063.8
323.36.49.3
118.986.8
382.434.619.7
225.628.7
1.227.954.515.330.076.121.153.7
491.3114.1266.1
37.965.812.011.913.040.5
Sept.1996P
1,645.892.623.3
131.521.111.011.9
295.6680.5565.9
31.9112.123.579.827.286.9
810.824.5
176.3140.3118.0
81.312.026.713.5
1,311.879.043.8
214.4266.6212.7110.331.018.218.010.977.063.3
322.26.39.4
119.486.7
381.934.520.7
225.329.1
1,218.454.615.329.975.720.753.1
491.8114.3264.7
38.265.812.012.413.040.3
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FailsDutchess CountyElmiraGlens FallsNassau-SuffolkNew York PMSANew York CityNewburghRochesterRockland CountySyracuseUtica-RomeWestchester County
North CarolinaAshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High PointRaleigh-Durham-Chapel Hill
North DakotaBismarckFargo-MoorheadGrand Forks
OhioAkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldHamilton-MiddletownLimaMansfieldSteubenville-WeirtonToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton-Wilkes-Barre-HazletonSharonState CollegeWilliamsportYork
See footnotes at end of table.
83
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT 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
Sept.1995
723.725.9
3.928.0
4.11.32.0
79.5506.1474.1
5.623.3
5.018.27.7
25.8
145.42.9
46.329.926.2
13.92.25.41.5
270.512.35.4
50.769.364.616.64.32.22.91.6
10.59.4
66.31.11.7
27.120.0
88.66.82.9
62.76.4
304.713.9
1.85.8
23.54.38.9
152.656.160.6
9.013.51.51.82.35.0
Aug.1996
730.126.6
4.028.2
4.21.31.9
79.8508.2476.0
5.923.5
5.218.57.7
25.8
155.23.1
48.331.526.8
14.22.35.51.5
280.112.35.3
52.371.368.117.14.22.22.81.7
10.99.5
67.51.01.9
27.720.7
91.47.23.0
66.96.5
315.013.62.05.6
25.14.69.4
157.755.761.0
9.214.4
1.61.62.34.9
Sept.1996P
724.526.1
3.928.1
4.21.31.9
79.1505.2473.3
5.723.1
5.118.37.6
25.6
154.23.1
48.331.526.6
14.22.35.51.5
278.212.25.2
52.170.467.717.04.12.22.71.7
10.89.4
67.11.01.9
27.520.8
91.67.23.0
66.76.5
310.813.5
1.95.6
25.04.59.3
155.355.260.69.2
14.21.51.62.34.8
Sept.1995
2,551.4131.128.8
156.831.510.015.8
345.01,347.01,178.7
30.5153.030.096.935.8
132.4
774.730.1
168.0148.4163.7
82.314.526.112.9
1,415.785.847.1
225.8321.9219.0132.926.519.619.212.889.163.1
351.36.57.9
137.2105.5
377.235.316.9
233.930.7
1,606.079.915.336.487.424.950.5
745.8271.7358.4
35.974.613.313.113.737.4
Services
Aug.1996
2,610.8132.829.3
157.232.510.118.2
355.61,367.71,195.5
32.2154.330.892.536.7
134.9
802.329.4
171.9150.3165.7
85.714.927.213.6
1,443.088.048.5
231.3324.6225.4133.726.919.719.313.689.762.7
365.76.58.4
145.7109.8
401.035.717.6
245.530.8
1,612.981.115.635.590.425.552.2
748.5265.5360.338.275.912.513.414.136.4
Sept.1996P
2,620.3131.229.2
157.732.410.215.9
354.21,383.11,212.0
31.0156.530.197.137.3
135.1
798.229.6
171.6151.0164.9
85.515.027.013.1
1,443.286.947.8
229.1325.2225.5135.126.920.119.613.489.263.4
368.96.48.3
146.5110.9
406.935.817.9
249.132.0
1,615.482.215.536.691.024.952.8
753.6272.4362.4
38.475.713.613.514.236.9
Sept.1995
1,348.0106.921.485.821.6
7.19.2
171.8608.0527.725.274.420.157.729.056.2
552.714.682.563.1
116.2
70.69.8
13.912.1
742.347.418.7
100.8138.2130.571.619.89.99.86.1
45.829.3
269.44.3
11.8101.041.9
230.522.2
9.8104.832.4
709.628.8
7.515.469.813.517.9
297.7125.9119.818.434.0
5.325.2
7.014.3
Government
Aug.1996
1,320.4101.0
18.680.520.7
6.88.6
164.6606.9527.9
24.169.018.955.227.956.0
521.113.480.657.2
110.7
66.29.2
12.610.8
703.541.117.698.5
133.8130.165.617.29.8
10.25.9
39.526.4
255.94.2
12.393.239.6
212.021.0
9.091.732.4
679.827.5
7.313.868.813.416.4
293.8128.5110.3
16.532.7
5.022.1
6.614.6
Sept.1996P
1,329.4104.621.684.421.9
6.99.0
171.3595.5516.325.373.519.857.728.755.4
574.715.586.563.4
119.0
70.19.6
14.012.0
745.247.418.8
103.9139.4130.768.920.110.110.15.8
46.129.6
269.64.2
12.4100.042.2
227.122.6
9.998.433.3
709.429.27.5
15.570.513.817.6
295.4125.5117.6
18.433.6
5.224.57.0
16.1
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsDutchess CountyElmiraGlens FallsNassau-SuffolkNew York PMSANew York CityNewburghRochesterRockland CountySyracuseUtica-RomeWestchester County
North CarolinaAshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High PointRaleigh-Durham-Chapel Hill
North DakotaBismarckFargo-MoorheadGrand Forks
OhioAkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldHamilton-MiddletownLimaMansfieldSteubenville-WeirtonToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton-Wilkes-Barre-HazletonSharonState CollegeWilliamsportYork
See footnotes at end of table.
84
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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
Sept.1995
Aug.1996
Sept.1996P
Mining
Sept.1995
Aug.1996
Sept.1996P
Construction
Sept.1995
Aug.1996
Sept.1996P
Rhode IslandProvidence-Fall River-Warwick
South CarolinaCharleston-North CharlestonColumbiaG reen ville-Spartanburg- Anderson
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
TexasAbileneAmarilloAustin-San MarcosBeaumont-Port ArthurBrazoriaBrownsville-Harlingen-San BenitoBryan-College StationCorpus ChristiDallasEl PasoFt. Worth-ArlingtonGalveston-Texas CityHoustonKilleen TempleLaredoLong view-MarshallLubbockMcAllen-Edinburg-MissionOdessa MidlandSan AngeloSan AntonioSherman-Den isonTexarkanaTylerVictoriaWacoWichita Falls
UtahProvo-OremSalt Lake City-Ogden
VermontBarre-MontpelierBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport NewsNorthern VirginiaRichmond-PetersburgRoanoke
WashingtonSeattle-Beilevue-EverettSpokaneTacoma
See footnotes at end of table.
446.6500.5
1,664.1210.3264.8447.3
348.245.896.9
2,544.7216.8195.4316.7536.6603.8
8,089.852.891.2
525.3150.771.691.965.3
146.01,620.4
237.1660.3
87.91,772.0
93.355.484.2
107.8122.996.341.4
626.641.349.571.933.293.757.5
927.4128.0623.1
274.330.396.1
3.082.037.375.144.696.5
634.7931.7503.1137.1
2,391.51,200.0
181.1219.7
444.4494.9
1,685.9211.5269.1449.3
356.246.899.4
2,561.0214.8191.8313.2534.9605.3
8,281.652.294.0
532.4151.271.595.362.5
148.01,672.0
234.4679.2
87.51,807.3
96.055.184.1
110.3123.898.741.0
636.740.949.771.733.293.657.8
963.7128.4649.5
271.529.293.0
3,116.536.376.143.696.2
631.3954.8508.7138.4
2,415.61,232.5
177.9220.5
448.1501.2
1,694.6212.7272.0456.1
354.145.799.2
2,596.3216.2194.7314.0544.7611.0
8,318.653.694.3
545.3152.572.695.666.2
149.91,680.5
235.1683.3
86.91,814.6
96.855.784.8
111.3126.099.141.0
641.641.450.071.833.494.958.8
978.8134.6657.1
279.030.196.8
3,138.237.179.644.697.3
635.0958.4510.7138.6
2.455.61,249.4
181.7222.6
( )< >
1
1.9
2.5
4.6
155.81.3.8
1.0.8
1.5( 1 )
.72.6
12.01 )
4.5.9
64.31 )
2.73.3
.21.0
11.8.5
1.9
1.31.4
1.3
8.4
3.2
.6
10.7
3.6.7
.2
.2
1.9
)
2.4))
4.6
.5
153.61.3.7
1.1.8
1.4( 1 )
.62.4
11.4( 1 )
4.4.9
66.0( 1 )
2.83.3
.11.1
12.1.4
1.9
J1.41.3
1.3
7.9)3.1
.7
10.2( J )< >( >( >1
3.4.8
(M
.2
.2
1.9
)
2.3
)
4.6
.5
153.31.3.7
1.1.8
1.4
2.411.3
1 )4.4
.865.9
1 )2.83.3
.11.1
12.1.4
1.9;
1.31.3
1.3
8.0
3.1
.7
<1)
10.2
3.5.8
14.716.2
88.012.913.427.2
15.63.15.0
113.18.89.8
18.022.928.3
418.62.14.4
25.212.98.22.92.6
11.469.810.328.9
5.5122.3
4.02.13.74.25.85.11.8
32.21.72.32.52.24.22.1
60.310.738.3
13.71.75.0
172.41.44.02.25.9
37.052.029.9
7.7
132.462.610.912.7
15.117.6
90.713.514.227.7
16.53.35.3
121.79.29.6
18.123.928.8
436.72.24.8
26.713.88.33.22.8
11.775.39.9
31.84.9
124.44.32.13.94.66.35.31.8
34.31.82.52.42.34.52.2
67.910.342.4
14.81.55.0
178.21.74.32.45.9
38.752.231.38.0
134.468.210.912.8
14.417.5
90.413.414.127.6
15.73.15.1
122.29.39.6
17.924.028.6
437.12.24.7
26.313.88.33.22.8
11.975.89.9
31.74.9
124.64.32.14.04.56.45.31.7
34.41.82.52.42.34.42.2
68.210.343.0
15.21.54.9
177.11.64.12.35.9
38.452.331.17.9
135.268.410.912.7
85
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued
(In thousands)
State and area
I
Sept.1995
4,657.54,628.1
4,785.420.626.5
128.1
4,170.64,001.14,412.7
5,077.44,447.64,723.14,466.74,698.34,910.1
6,198.23.29.7
69.924.016.313.43.6
13.65,353.4
48.15,520.1
8.16,694.1
10.01.7
18.17.7
13.46.75.4
4,132.210.45.7
12.03.0
17.08.1
4,892.717.3
5,018.1
5,365.33.4
5,537.3
5,504.64,260.54,547.65,175.74,506.5
66.75,305.06,605.45,906.6
6,067.5188.722.123.0
Manufacturing
Aug.1996
4,569.14,748.8
4,838.020.825.9
126.5
4,170.33,992.74,316.1
5,288.74,672.65,060.54,513.95,130.35,216.1
6,335.73.19.6
72.124.016.413.73.9
13.75,578.1
47.15,699.2
7.86,520.4
10.51.6
18.27.5
12.67.05.2
4,139.410.35.7
10.93.2
16.98.1
5,293.418.3
5,194.6
5.126.93.9
5,448.5
5,775.24,709.94,485.34,782.14,844.3
65.15,175.57,416.55,507.7
6,471.0198.222.523.5
Sept.1996P
4,705.24,783.0
4,836.720.826.1
126.2
4,186.84,011.94,308.5
5,318.14,751.35,062.24,589.15,089.95,360.1
6,339.63.19.4
71.724.016.213.63.9
13.75,614.6
47.55,582.0
7.76,635.0
10.41.7
18.27.5
12.67.05.1
4,198.310.35.6
10.73.1
16.88.1
5,418.518.5
5,302.7
5,329.03.8
5,725.9
5,787.04,717.84,969.05,210.04,976.5
65.05,316.17,149.35,585.3
6,589.4200.2
22.323.5
Transportation andpublic utilities
Sept.1995
15.117.3
72.111.012.018.1
16.12.16.1
137.78.07.6
13.457.431.5
478.42.75.8
16.48.43.14.21.36.7
105.012.762.8
4.5123.9
3.28.14.05.74.34.12.5
28.91.62.23.21.43.82.9
51.72.3
40.0
12.0.9
4.5
157.51.32.31.13.7
30.556.325.9
8.6
122.774.0
8.39.9
Aug.1996
14.716.3
74.411.512.219.2
16.12.16.2
138.18.07.2
13.558.731.3
490.22.76.0
17.38.33.24.21.46.8
110.612.660.7
4.3126.4
3.47.94.06.04.84.22.5
29.61.52.13.41.43.82.8
53.52.3
42.0
11.9.8
5.0
163.41.32.31.13.6
31.259.726.0
8.3
123.575.6
8.410.1
Sept.1996P
15.317.1
74.211.412.219.2
16.12.06.2
138.68.07.2
13.359.031.3
492.12.76.0
17.48.33.24.11.46.8
111.412.660.9
4.4126.3
3.38.03.96.04.84.22.5
29.61.52.13.41.43.82.8
53.92.3
42.2
12.1.9
4.6
163.31.32.31.13.6
31.259.526.3
8.3
124.276.0
8.410.1
Wholesale and retail trade
Sept.1995
99.6116.5
392.654.161.3
109.2
88.413.925.5
599.950.443.982.2
139.3145.4
1,961.113.925.5
112.335.113.823.514.634.5
407.856.3
168.019.1
416.022.515.621.231.333.725.910.2
155.19.7
12.818.19.0
21.713.4
223.728.1
153.0
65.96.6
22.5
705.610.015.59.3
21.4152.9207.4120.236.3
595.2292.1
47.157.0
Aug.1996
100.6117.7
409.956.063.1
111.8
93.714.626.5
618.550.642.781.4
140.4147.9
2,014.714.426.4
119.235.913.924.613.935.7
423.455.0
175.119.4
426.723.815.521.432.734.826.8
9.8158.9
9.513.218.48.9
22.013.9
234.629.6
160.0
66.56.4
22.4
717.010.115.99.4
21.4152.9210.8123.336.8
601.2301.6
47.257.3
Sept.1996P
98.2116.4
409.155.763.5
112.2
90.914.025.9
619.950.642.881.8
141.4148.1
2,013.114.326.4
119.035.713.924.614.435.2
424.555.0
174.719.1
424.723.615.621.433.034.826.8
9.8157.3
9.313.218.38.9
21.913.9
234.930.2
160.2
66.16.4
22.6
716.810.216.19.4
21.4153.4210.5122.536.5
603.9301.5
47.358.1
Rhode IslandProvidence-Fall River-Warwick
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvllleMemphisNashville
TexasAbileneAmarilloAustin-San MarcosBeaumont-Port ArthurBrazoriaBrownsville-Harlingen-San BenitoBryan-College StationCorpus ChristiDallasEl PasoFt. Worth-ArlingtonGalveston-Texas CityHoustonKilleen TempleLaredoLongview-MarshallLubbockMcAllen-Edinburg-MissionOdessa MidlandSan AngeloSan AntonioSherman-DenisonTexarkanaTylerVictoriaWacoWichita Falls
UtahProvo-OremSalt Lake City-Ogden
VermontBarre-MontpelierBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport NewsNorthern VirginiaRichmond-PetersburgRoanoke
WashingtonSeattle-Bellevue-EverettSpokaneTacoma
See footnotes at end of table.
86
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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
Sept.1995
24.926.6
70.08.2
19.215.6
19.11.6
10.0
111.313.55.7
11.626.734.5
439.11.94.5
27.94.71.83.52.66.4
131.38.7
29.25.3
95.33.82.02.84.84.23.51.7
43.22.11.83.61.65.62.2
48.73.3
40.6
12.12.54.6
161.01.24.01.44.1
28.354.142.49.4
122.373.610.211.1
Aug.1996
24.926.5
72.98.4
19.915.7
20.31.7
10.5
114.113.95.9
11.927.435.5
447.72.04.7
29.04.91.83.62.66.6
131.78.8
30.55.3
95.23.92.12.95.14.43.41.7
44.02.01.83.71.65.82.2
51.43.6
42.3
12.62.44.6
163.71.24.11.54.5
29.054.742.8
9.6
125.976.210.211.6
Sept.1996P
24.926.5
72.38.3
19.815.7
20.11.7
10.5
113.613.95.9
11.927.135.6
446.52.04.7
28.94.91.83.72.56.5
131.88.9
30.65.3
94.83.92.02.95.14.43.51.7
44.02.01.83.71.65.62.2
52.03.7
42.4
12.52.44.5
162.41.24.11.54.5
28.554.342.7
9.6
125.776.310.211.6
Sept.1995
147.2153.5
370.855.562.792.9
90.113.827.9
651.356.442.986.4
145.1186.7
2,151.817.822.8
142.839.813.323.013.040.2
471.051.3
172.917.9
523.323.9
9.719.831.226.122.010.7
185.610.513.120.2
8.626.715.0
247.348.9
163.8
79.48.0
27.7
886.87.7
19.08.4
22.5183.9347.3128.438.8
640.5336.454.260.3
Services
Aug.1996
149.5154.2
387.756.566.096.5
93.514.329.3
665.255.242.685.6
146.9190.1
2,256.117.025.8
146.539.913.624.413.242.0
492.952.4
184.918.0
542.124.5
9.719.731.527.123.411.4
191.910.813.320.9
8.826.215.4
260.448.4
175.9
81.58.1
26.6
922.27.3
19.58.3
22.9185.8369.8130.639.9
661.6350.752.460.4
Sept.1996P
151.4155.6
388.656.866.297.8
92.214.029.2
671.055.043.085.1
147.7190.8
2,251.018.025.5
147.839.513.623.613.542.3
492.951.7
183.717.6
540.324.6
9.719.731.727.123.211.4
192.411.213.320.9
8.727.615.5
263.651.7
177.3
80.77.9
27.1
924.17.6
19.68.6
23.8185.9369.3131.440.1
669.7351.654.161.2
Sept.1995
59.462.6
292.448.069.756.2
69.67.09.5
385.834.729.955.579.877.5
1,448.49.9
17.7129.825.013.621.426.930.6
192.549.787.426.6
239.525.913.511.322.734.417.28.6
130.65.3
11.611.06.0
14.712.5
161.917.4
104.6
44.77.2
14.5
586.55.4
22.55.7
12.3135.4174.695.416.9
435.1171.928.345.5
Government
Aug.1996
56.558.8
281.444.867.851.9
64.96.78.7
371.233.629.453.374.072.9
1,435.39.5
16.0120.523.612.921.624.129.1
190.248.685.326.9
233.925.613.410.722.832.716.58.2
126.15.0
11.110.65.7
14.411.9
156.215.9
101.1
36.96.1
11.3
565.84.9
22.45.0
12.3128.6168.093.116.5
417.1161.226.344.6
Sept.1996P
60.663.9
292.446.370.157.4
68.56.89.6
396.535.131.654.481.377.3
1,478.810.016.9
133.125.514.222.827.131.1
196.049.590.527.1
246.426.713.811.423.434.817.08.4
132.25.3
11.511.16.1
14.812.8
166.417.9
105.8
45.17.2
15.0
588.95.5
25.75.7
12.5132.6172.995.317.1
442.0174.628.545.2
Rhode IslandProvidence-Fall River-Warwick
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
TexasAbileneAmarilloAustin-San MarcosBeaumont-Port ArthurBrazoriaBrownsville-Harlingen-San BenitoBryan-College StationCorpus ChristiDallasEl PasoFt. Worth-ArlingtonGalveston-Texas CityHoustonKilleen TempleLaredoLongview-MarshallLubbockMcAllen-Edinburg-MissionOdessa MidlandSan AngeloSan AntonioSherman-DenisonTexarkanaTylerVictoriaWacoWichita Falls
UtahProvo-OremSalt LakeCity-Ogden
VermontBarre-MontpelierBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport NewsNorthern VirginiaRichmond-PetersburgRoanoke
WashingtonSeattle-Bellevue-EverettSpokaneTacoma
See footnotes at end of table.
87
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry —• Continued
(tn thousands)
State and area
Total
Sept.1995
Aug.1996
Sept.1996P
Mining
Sept.1995
Aug.1996
Sept.1996P
Construction
Sept.1995
Aug.1996
Sept.1996P
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLaCrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin Islands
694.1126.6118.5118.562.9
2,585.0189.266.9
129.669.149.466.7
258.6806.3
80.459.162.2
228.631.0
907.858.867.471.8
567.0
41.9
696.8129.0120.3120.363.5
2,605.5192.066.0
133.070.748.465.3
261.8813.4
82.161.963.3
226.529.6
921.561.668.671.2
576.7
40.8
129.3121.2121.262.6
2,617.3192.968.0
133.170.648.666.5
265.1814.7
81.861.563.9
230.629.8
911.861.065.471.2
575.1
40.9
27.31.81.31.31.4
2.6< )( >()( >( >
o
17.32.2
( )( )( 1
1.0
25.62.01.81.81.4
2.7
()( )( >< >
17.11.8
1.0
25.62.01.71.71.5
2.6< >( >( 1 )
< >( >( >( 1 )( >( 1 )
16.91.9
35.87.36.76.72.6
109.610.13.07.03.12.32.8
12.429.8
3.22.52.6
16.21.9
47.02.73.43.9
33.8
1.1
37.58.47.37.32.6
119.211.13.27.73.72.53.1
13.730.43.22.72.7
16.11.8
49.53.24.33.8
35.8
1.7
38.48.77.67.62.6
117.211.53.27.63.62.53.1
13.330.4
3.12.72.7
16.21.8
46.53.24.13.5
33.5
1.7
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE 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 areaSept.1995
5,504.86,696.36,259.46,259.46,180.0
6,248.86,280.76,500.06,120.18,041.45,908.84,577.95,170.56,352.95,448.55,678.85,932.4
4,994.01.6
3,072.914.718.911.169.3
6,381.3
Manufacturing
Aug.1996
5,601.76,749.16,143.06,143.06,684.3
6,325.26,506.35,858.15,917.38,122.46,024.94,529.95,206.46,312.85,887.15,619.65,779.7
5,450.41.6
3,394.714.818.610.968.1
7,099.2
Sept.1996P
5,717.77,002.16,425.26,425.27,050.2
6,447.36,679.55,903.15,914.58,067.96,009.04,601.15,474.16,390.15,969.75,979.35,908.7
5,786.11.6
2,761.714.516.110.766.8
6,936.9
Transportation andpublic utilities
Sept.1995
40.49.27.17.13.3
120.97.23.59.02.41.83.08.4
38.13.02.03.7
13.61.6
22.7.7.6
2.117.3
2.6
Aug.1996
39.49.26.96.93.0
117.57.73.49.22.41.73.08.3
37.03.41.93.7
13.71.6
21.4.7.5
1.617.9
2.3
Sept.1996P
39.19.26.96.92.8
121.27.83.39.22.51.72.98.6
38.13.42.03.8
13.71.6
21.3.7.6
1.617.4
2.3
Wholesale and retail trade
Sept.1995
161.531.831.031.015.6
592.040.518.430.316.414.019.858.6
175.316.410.615.3
54.38.9
179.812.811.313.5
117.5
9.7
Aug.1996
163.332.231.131.115.7
603.441.318.331.217.313.919.759.9
179.617.210.715.8
55.08.6
180.114.011.113.6
116.5
8.8
Sept.1996P
163.232.131.131.115.5
598.741.918.730.717.013.820.160.8
177.617.010.715.7
54.28.7
178.813.911.113.2
115.9
8.9
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin Islands
See footnotes at end of table.
89
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT 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
Sept.1995
Aug.1996
Sept.1996P
Services
Sept.1995
Aug. Sept.1996P
Government
Sept.1995
Aug.1996
Sept.1996P
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLaCrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin Islands
27.17.13.73.72.9
136.39.62.59.52.01.62.4
20.856.62.22.04.5
8.11.2
42.71.72.22.2
33.2
1.8
26.97.33.63.62.9
138.89.92.69.92.11.52.4
21.358.02.21.84.6
8.11.1
42.81.62.42.2
33.4
1.7
26.87.33.53.52.9
137.79.82.69.82.11.52.3
20.958.0
2.11.84.5
8.01.1
42.41.52.32.2
33.0
1.7
185.437.431.131.120.9
643.141.316.430.615.611.418.161.7
241.421.111.111.5
51.08.1
167.510.510.914.8
114.4
10.5
189.337.832.132.121.7
657.641.716.731.115.110.717.662.9
246.621.912.511.7
53.88.1
168.010.710.514.6
116.9
9.1
189.337.932.032.021.8
656.241.616.631.614.910.517.862.6
246.021.912.611.6
51.37.9
168.810.410.314.9
117.3
9.2
133.622.219.519.59.6
372.521.011.615.08.17.29.5
68.488.4
9.25.96.9
58.05.5
295.115.720.124.2
181.0
13.8
132.922.319.419.49.8
355.520.510.314.98.07.28.2
66.985.69.46.16.5
52.65.0
309.616.621.224.5
187.6
14.9
134.622.320.220.2
9.2
378.521.612.015.78.57.69.0
70.588.6
9.46.17.3
60.05.2
310.016.820.925.1
190.7
14.8
1 Combined with construction.2 Not available.P = preliminary.
NOTE: Area definitions are published annually in the May issue of this publication. AllState and area data have been adjusted to March 1995 benchmarks.
90
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Total private
Goods-producing
Mining
Metal miningIron oresCopper ores
Coal miningBituminous coal and lignite mining
Oil and gas extractionCrude petroleum and natural gasOil and gas field services
Nonmetallic minerals, except fuels
Crushed and broken stone
Construction
General building contractorsResidential building constructionOperative buildersNonresidential building construction
Heavy construction, except buildingHighway and street constructionHeavy construction, except highway
Special trade contractorsPlumbing, heating, and air conditioningPainting and paper hangingElectrical workMasonry, stonework, and plasteringCarpentry and floor workRoofing, siding, and sheet metal work
ManufacturingDurable goods
Lumber and wood productsLoggingSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring mills ...
Millwork, plywood, and structural membersMillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wood containersWood buildings and mobile homes
Mobile homesMiscellaneous wood products
Furniture and fixturesHousehold furniture
Wood household furnitureUpholstered household furnitureMetal household furnitureMattresses and bedsprings
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
See footnotes at end of table.
10101102
12122
13131138
14142
15152153154
16161162
17171172173174175176
242412422421242624324312434243524362442452451249
252512511251225142515252253254259
34.6
41.6
45.4
44.645.546.5
45.846.0
44.341.845.8
48.649.7
39.9
38.937.439.540.3
44.446.543.4
39.139.836.540.436.436.836.4
42.042.841.141.441.942.639.241.140.939.741.842.839.340.940.940.8
40.139.439.639.040.039.938.842.442.440.4
34.7
41.4
45.4
44.143.944.4
45.545.5
44.842.146.5
47.748.9
40.1
39.037.640.840.3
44.846.344.2
39.139.836.740.336.736.636.8
41.742.641.242.241.842.339.641.240.639.942.244.838.940.640.741.0
40.139.539.839.040.738.039.941.941.440.0
34.8
41.4
45.3
43.044.144.5
45.345.4
44.540.646.7
48.449.6
39.8
38.637.140.440.0
44.246.743.0
39.239.837.640.836.336.137.0
41.842.541.442.142.342.640.741.541.739.942.043.539.040.140.040.9
40.038.939.537.341.340.540.442.342.640.0
34.9
41.7
45.9
45.044.946.8
46.146.1
45.042.346.4
48.850.3
39.7
38.536.840.540.0
44.546.343.6
38.939.637.240.436.136.135.7
42.343.041.742.442.642.941.841.942.140.642.044.539.439.539.441.6
40.438.939.138.040.740.141.442.743.641.1
34.5
41.5
46.0
39.8
41.942.641.4
40.2
4.85.14.66.64.95.52.94.23.63.25.06.23.74.24.43.8
3.53.03.02.83.13.63.54.75.13.1
4.64.94.46.34.95.43.24.23.33.55.06.43.13.73.83.7
3.22.82.92.73.42.23.24.33.92.7
4.75.04.66.05.35.73.64.54.03.94.95.93.43.53.33.5
3.52.62.81.74.14.03.65.95.13.6
5.15.34.76.25.35.74.14.64.24.05.26.33.83.12.93.9
3.62.62.82.03.93.33.56.05.63.7
4.75.0
92
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—-Continued
Industry1987SIC
Code
10101102
12122
13131138
14142
15152153154
16161162
17171172173174175176
242412422421242624324312434243524362442452451249
252512511251225142515252253254259
Sept.1995
$11.55
13.22
15.35
16.9018.7614.90
18.5018.73
14.4918.8212.11
13.7013.01
15.34
14.5013.3714.2115.50
15.1215.5114.93
15.6815.9514.4117.0315.5815.1113.46
12.4713.0510.2812.0110.4510.818.95
10.2410.469.618.99
12.437.77
10.2210.369.79
9.959.428.93
10.129.10
10.0710.5910.3411.0210.10
Average hourly <
Oct.1995
$11.60
13.20
15.34
16.9318.1415.30
18.4418.67
14.5219.0112.07
13.6612.89
15.34
14.5613.4513.9915.54
15.0815.3914.93
15.6715.8714.3917.0315.5415.1213.51
12.4312.9710.2711.9010.4510.818.99
10.2410.459.638.90
12.407.76
10.2910.459.69
9.929.388.87
10.159.139.81
10.7810.4110.9110.07
Aug.1996
$11.77
13.55
15.51
17.4318.5815.83
18.5718.84
14.6719.0912.51
13.9813.38
15.55
14.5713.1813.8615.85
15.5016.0115.22
15.8716.1114.1817.1815.8715.5913.71
12.7913.3810.5312.0510.5410.889.14
10.6510.8710.189.22
12.948.10
10.7610.979.88
10.199.629.17
10.319.21
10.3410.9910.7511.1610.37
earnings
Sept.1996P
$11.96
13.67
15.72
17.5818.8515.98
18.7119.01
14.9519.6212.60
14.0913.47
15.75
14.8613.5814.0916.01
15.6816.1315.45
16.0416.3514.3417.3915.9515.8313.66
12.9013.5110.5611.9710.6811.079.13
10.6410.7510.149.34
13.088.16
10.6610.8410.01
10.279.719.28
10.409.33
10.2811.1110.8811.2010.28
Oct.1996P
$11.95
13.63
15.52
__-
_
-
__-
_
-
15.74
__--
_-
_
_-_--
12.8413.4110.53
_--_--______-
10.28---
--_
-
Average weekly earnings
Sept.1995
$399.63
549.95
696.89
753.74853.58692.85
847.30861.58
641.91786.68554.64
665.82646.60
612.07
564.05500.04561.30624.65
671.33721.22647.96
613.09634.81525.97688.01567.11556.05489.94
523.74558.54422.51497.21437.86460.51350.84420.86427.81381.52375.78532.00305.36418.00423.72399.43
399.00371.15353.63394.68364.00401.79410.89438.42467.25408.04
Oct.1995
$402.52
546.48
696.44
746.61796.35679.32
839.02849.49
650.50800.32561.26
651.58630.32
615.13
567.84505.72570.79626.26
675.58712.56659.91
612.70631.63528.11686.31570.32553.39497.17
518.33552.52423.12502.18436.81457.26356.00421.89424.27384.24375.58555.52301.86417.77425.32397.29
397.79370.51353.03395.85371.59372.78430.12436.18451.67402.80
Aug.1996
$409.60
560.97
702.60
749.49819.38704.44
841.22855.34
652.82775.05584.22
676.63663.65
618.89
562.40488.98559.94634.00
685.10747.67654.46
622.10641.18533.17700.94576.08562.80507.27
534.62568.65435.94507.31445.84463.49372.00441.98453.28406.18387.24562.89315.90431.48438.80404.09
407.60374.22362.22384.56380.37418.77444.00454.73475.42414.80
Sept.1996P
$417.40
570.04
721.55
791.10846.37747.86
862.53876.36
672.75829.93584.64
687.59677.54
625.28
572.11499.74570.65640.40
697.76746.82673.62
623.96647.46533.45702.56575.80571.46487.66
545.67580.93440.35507.53454.97474.90381.63445.82452.58411.68392.28582.06321.50421.07427.10416.42
414.91377.72362.85395.20379.73412.23459.95464.58488.32422.51
Oct.1996P
$412.28
565.65
713.92
__-
_
-
_-
_
-
626.45
_--
__-
___-__-
538.00571.27435.94
__-_________-
413.26
____-
Total private
Goods-producing
Mining
Metal miningIron oresCopper ores
Coal miningBituminous coal and lignite mining
Oil and gas extractionCrude petroleum and natural gasOil and gas field services
Nonmetallic minerals, except fuels ,
Crushed and broken stone
Construction
General building contractorsResidential building constructionOperative buildersNonresidential building construction
Heavy construction, except buildingHighway and street construction ,Heavy construction, except highway ,
Special trade contractorsPlumbing, heating, and air conditioningPainting and paper hangingElectrical workMasonry, stonework, and plasteringCarpentry and floor workRoofing, siding, and sheet metal work
ManufacturingDurable goods
Lumber and wood productsLoggingSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring mills ...
Millwork, plywood, and structural membersMillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wood containersWood buildings and mobile homes
Mobile homesMiscellaneous wood products
Furniture and fixturesHousehold furniture
Wood household furnitureUpholstered household furnitureMetal household furnitureMattresses and bedsprings
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
See footnotes at end of table.
93
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—-Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedStone, clay, and glass products
Flat glassGlass and glassware, pressed or blown
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, neeReady-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos products
Primary metal industriesBlast furnaces and basic steel products
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray and ductile iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonferrous foundries (castings)Aluminum foundries
Fabricated metal productsMetal cans and shipping containers
Metal cansCutlery, handtools, and hardware
Hand and edge tools, and blades and handsawsHardware, nee
Plumbing and heating, except electricPlumbing fixture fittings and trimHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and accessories, neeAmmunition, except for small arms, nee
Misc. fabricated metal productsValves and pipe fittings, neeMisc. fabricated wire products
See footnotes at end of table.
323213223221322932332432532632732713272327332932913292
333313312331733233213322332533333343353351335333573363365
3434134113423423,5342934334323433344344134423443344434463453451345234634623465346934734713479348348334934943496
44.045.542.844.541.542.743.541.541.446.347.045.246.642.740.742.7
43.844.244.444.244.344.944.143.642.641.744.544.746.043.742.442.5
42.942.943.042.843.242.342.242.642.142.944.241.644.242.041.643.342.744.144.443.546.042.541.140.642.041.942.342.643.041.4
43.843.342.944.941.343.143.741.241.345.845.744.546.442.740.543.8
43.744.044.244.644.144.344.844.043.242.844.344.445.843.442.242.5
42.642.042.342.642.842.142.042.841.242.443.541.243.541.841.643.342.943.844.343.245.842.541.441.042.042.041.842.042.440.9
44.047.142.844.441.641.943.541.641.346.547.444.747.242.542.545.5
44.144.044.243.045.045.748.042.842.642.844.844.745.344.242.942.8
42.643.343.542.942.742.842.342.442.442.543.442.243.041.841.943.142.044.443.343.144.541.341.841.442.541.242.442.042.540.7
44.347.642.844.441.642.844.442.141.746.447.645.146.842.942.546.0
44.844.544.744.246.247.446.842.643.442.945.646.847.544.743.543.8
43.043.443.643.142.843.042.341.643.142.743.542.143.542.141.743.542.544.644.444.446.042.342.441.843.341.842.142.542.541.1
43.9
44.444.5
42.6
6.47.65.55.65.45.14.64.34.58.78.37.29.64.72.66.0
6.36.56.86.26.57.26.45.45.95.76.87.07.66.24.85.3
5.26.56.44.65.04.34.54.14.65.36.63.96.14.54.15.55.25.96.15.17.44.54.44.05.03.83.94.54.93.6
6.16.04.45.63.55.04.74.14.78.47.96.89.44.62.86.0
6.16.26.56.46.47.06.85.45.75.56.66.67.66.24.64.8
4.96.16.14.44.54.14.14.03.65.16.33.95.84.34.05.45.15.75.95.16.94.64.24.04.63.73.14.34.63.4
6.69.24.96.24.04.44.74.84.69.09.17.4
10.05.34.15.6
6.56.56.86.06.67.47.55.15.35.47.68.18.57.05.25.6
5.07.17.04.74.24.94.84.25.55.26.24.45.34.64.65.34.56.25.55.86.04.24.74.35.33.63.74.24.53.8
6.910.35.46.24.85.15.25.05.09.09.07.5
10.05.34.15.4
7.07.07.27.07.18.27.24.76.36.58.08.89.07.45.76.4
5.37.47.34.84.35.04.84.15.25.26.24.45.64.64.05.74.86.76.36.07.44.75.04.65.63.63.44.54.73.8
94
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedStone, clay, and glass products
Flat glassGlass and glassware, pressed or blown
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, neeReady-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos products
Primary metal industriesBlast furnaces and basic steel products
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray and ductile iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonferrous foundries (castings)Aluminum foundries
Fabricated metal productsMetal cans and shipping containers
Metal cansCutlery, handtools, and hardware
Hand and edge tools, and blades and handsaws ...Hardware, nee
Plumbing and heating, except electricPlumbing fixture fittings and trimHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and accessories, neeAmmunition, except for small arms, nee
Misc. fabricated metal productsValves and pipe fittings, neeMisc. fabricated wire products
See footnotes at end of table.
323213223221322932332432532632732713272327332932913292
333313312331733233213322332533333343353351335333573363365
3434134113423423,5342934334323433344344134423443344434463453451345234634623465346934734713479348348334934943496
$12.5417.9214.3314.5214.1710.9516.3911.0010.7712.1511.3710.8312.9512.9211.3815.64
14.7117.5619.0313.8613.3514.0316.1212.1816.1616.1413.7013.3715.6013.9111.4410.91
12.2115.9816.9812.2011.4112.3010.8710.3111.1711.4311.469.69
12.6811.7010.7912.1611.4912.9014.3113.6816.2711.5010.2110.1510.3014.1215.0111.5011.7210.18
$12.5317.6014.0314.4313.6810.9816.5211.0510.7212.2411.4210.9513.0312.9111.3915.38
14.6417.4318.8813.7213.3314.0615.8212.1515.9215.7613.6813.4015.6513.9511.5510.87
12.1715.7416.7612.2811.4012.4310.8310.3411.0611.4311.499.75
12.7511.6710.4912.1511.4612.9314.2113.7415.9811.6510.1310.0310.3014.0014.8311.5311.6210.27
$12.9118.5814.5815.3613.9711.3916.7111.4611.0712.5011.9211.0813.2813.3711.4915.61
15.0317.8819.4013.8613.7414.5816.2312.4216.1616.1414.0414.2915.6814.3411.9311.49
12.5116.1817.0612.5711.5812.7711.3711.0511.6011.7811.9410.0013.0812.0610.9312.5111.8513.2114.5714.0416.5311.8610.4910.3510.7014.6115.6611.8612.1310.53
$13.0019.5614.7415.3714.2511.4717.0111.4311.1512.5311.9011.1013.3513.3711.5715.75
15.2018.1719.7714.1013.7714.6516.7612.4416.6116.9814.2214.2816.1514.4211.9911.52
12.6316.3917.3012.6911.6612.8711.4911.2711.5811.8611.9610.0013.1912.1411.1412.6011.9113.3514.8114.1316.8911.9710.5110.3910.7114.6415.6911.9812.2710.57
$12.95
15.1117.91
12.51
$551.76815.36613.32646.14588.06467.57712.97456.50445.88562.55534.39489.52603.47551.68463.17667.83
644.30776.15844.93612.61591.41629.95710.89531.05688.42673.04609.65597.64717.60607.87485.06463.68
523.81685.54730.14522.16492.91520.29458.71439.21470.26490.35506.53403.10560.46491.40448.86526.53490.62568.89635.36595.08748.42488.75419.63412.09432.60591.63634.92489.90503.96421.45
$548.81762.08601.89647.91564.98473.24721.92455.26442.74560.59521.89487.28604.59551.26461.30673.64
639.77766.92834.50611.91587.85622.86708.74534.60687.74674.53606.0!594.96716.77605.43487.41461.98
518.44661.08708.95523.13487.92523.30454.86442.55455.67484.63499.82401.70554.63487.81436.38526.10491.63566.33629.50593.57731.88495.13419.38411.23432.60588.00619.89484.26492.69420.04
$568.04875.1624.02681.98581.15477.24726.89476.74457.19581.25565.01495.28626.82568.23488.33710.26
662.82786.72857.48595.98618.30666.31779.04531.58688.42690.79628.99638.76710.30633.83511.80491.77
532.93700.59742.11539.25494.47546.56480.95468.52491.84500.65518.20422.00562.44504.11457.97539.18497.70586.52630.88605.12735.59489.82438.48428.49454.75601.93663.98498.12515.53428.57
$575.90931.06630.87682.43592.80490.92755.24481.20464.96581.39566.44500.61624.78573.57491.73724.50
680.96808.57883.7;623.2;636.17694.41784.37529.94720.87728.44648.43668.30767.13644.57521.57504.58
543.09711.33754.28546.94499.05553.41486.03468.83499.10506.42520.26421.00573.77511.09464.54548.10506.18595.41657.56627.37776.94506.33445.62434.30463.74611.95660.55509.15521.48434.43
$568.51
670.88797.00
532.93
95
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedIndustrial machinery and equipment
Engines and turbinesTurbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machineryConstruction machineryMining machineryOil and gas field machineryConveyors and conveying equipmentIndustrial trucks and tractors
Metalworking machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven handtools
Special industry machineryTextile machineryPrinting trades machineryFood products machinery
General industrial machineryPumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Computer and office equipmentElectronic computersComputer terminals, calculators, and
office machines, neeRefrigeration and service machinery
Refrigeration and heating equipmentMisc. industrial and commercial machinery
Carburetors, pistons, rings, valvesScales, balances, and industrial machinery, nee .
Electronic and other electrical equipment ..Electric distribution equipment
Transformers, except electronicSwitchgear and switchboard apparatus .
Electrical industrial apparatusMotors and generatorsRelays and industrial controls
Household appliancesHousehold refrigerators and freezers ....Household laundry equipmentElectric housewares and fans
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Household audio and video equipment....Household audio and video equipment.
Communications equipmentTelephone and telegraph apparatus
Electronic components and accessories .Electron tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and supplies ..Storage batteriesEngine electrical equipment
3535135113519352352335335313532353335353537354354135423544354535463553552355535563563561356235633564356635683573571
3575,8,9358358535935923596,9
36361361236133623621362536336323633363436436413643364436453653651366366136736713674367936936913694
43.444.241.345.341.542.144.043.142.447.043.143.244.245.645.744.143.843.043.441.742.242.943.442.845.344.742.743.042.943.044.4
42.342.843.143.345.643.1
42.241.541.341.641.541.840.441.343.338.041.541.345.340.141.540.441.541.343.948.242.340.642.142.443.247.142.3
43.243.940.645.140.641.643.942.543.048.543.042.443.945.244.943.643.442.842.741.741.442.543.342.445.044.843.542.142.243.043.7
42.342.843.443.044.942.8
42.241.340.841.941.241.240.741.642.538.042.541.445.640.042.040.641.841.844.348.642.240.041.842.743.446.342.6
42.742.142.042.141.641.843.742.643.348.542.141.143.043.743.143.242.340.842.042.340.942.742.842.744.142.544.242.541.241.041.1
41.244.345.142.542.342.3
41.541.140.941.341.742.240.242.440.747.341.441.642.441.241.839.840.840.842.443.440.639.139.840.942.943.943.3
43.343.241.943.742.243.144.343.442.150.142.441.143.744.843.144.242.840.542.642.540.743.043.342.945.143.244.241.542.742.243.8
41.644.044.943.144.242.8
41.941.540.842.141.341.940.042.439.546.043.142.444.041.942.840.641.441.342.944.041.139.340.341.243.343.844.1
43.0
41.6
5.34.94.45.13.43.65.74.64.98.85.44.76.46.97.16.85.55.25.53.95.65.35.34.87.25.24.36.14.93.94.1
4.24.74.85.66.35.7
4.53.83.14.43.93.84.03.24.12.53.43.73.83.42.42.25.73.93.64.75.14.75.74.65.87.75.9
5.04.43.94.63.03.35.24.15.08.05.34.26.26.76.56.55.24.95.23.74.65.24.94.46.34.84.65.44.43.74.0
3.94.34.55.45.95.5
4.43.83.34.43.53.33.73.12.62.73.73.64.33.42.22.65.54.23.85.04.94.35.44.45.77.65.5
4.84.65.14.54.14.55.65.04.79.84.73.45.55.45.56.24.43.74.43.83.94.74.74.86.24.74.55.03.82.61.4
4.65.46.05.05.25.0
4.14.13.54.73.84.13.23.62.05.33.54.13.83.83.83.74.83.83.84.04.14.04.53.35.25.85.8
5.25.35.55.24.55.25.74.94.210.04.63.65.96.15.76.74.73.74.74.14.24.75.15.16.65.24.74.64.93.22.8
4.65.35.75.46.05.4
4.44.33.74.93.83.83.73.51.74.14.74.64.64.24.23.95.24.04.24.64.54.24.83.75.45.56.0
See footnotes at end of table.
96
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept. Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedIndustrial machinery and equipment
Engines and turbinesTurbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machineryConstruction machineryMining machineryOil and gas field machineryConveyors and conveying equipmentIndustrial trucks and tractors
Metalworking machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven handtools
Special industry machineryTextile machineryPrinting trades machineryFood products machinery
General industrial machineryPumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Computer and office equipmentElectronic computersComputer terminals, calculators, and
office machines, neeRefrigeration and service machinery
Refrigeration and heating equipmentMisc. industrial and commercial machinery
Carburetors, pistons, rings, valvesScales, balances, and industrial machinery, nee
Electronic and other electrical equipmentElectric distribution equipment
Transformers, except electronicSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsRelays and industrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipmentElectric housewares and fans
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Household audio and video equipmentHousehold audio and video equipment
Communications equipmentTelephone and telegraph apparatus
Electronic components and accessoriesElectron tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesStorage batteriesEngine electrical equipment
See footnotes at end of table.
3535135113519352352335335313532353335353537354354135423544354535463553552355535563563561356235633564356635683573571
3575,8,9358358535935923596,9
36361361236133623621362536336323633363436436413643364436453653651366366136736713674367936936913694
$13.34ftft
$15.7913.0513.8412.9213.3214.1012.6412.5411.8713.9914.1914.3414.5612.4311.6613.7311.8615.4013.5213.0613.8514.3813.3010.7614.0912.7013.6715.01
13.5412.1612.3912.9214.0012.65
11.7811.5610.7412.4311.2110.4912.76ftft
$13.649.21
11.6912.4511.6710.708.53
11.0411.4312.0113.1411.6313.3514.669.84
13.5114.6614.21
$13.33ftft
$15.5713.0313.8512.9013.3814.2312.2612.5612.0014.0614.2514.3714.6312.4311.8113.7311.7415.4213.5113.0414.0214.2013.3210.7714.0312.7713.5314.85
13.6012.1612.4212.9414.0512.65
11.7611.5910.8612.3511.1910.4512.73ftft
$13.609.28
11.7312.6011.8110.728.50
11.0011.3911.9312.9911.6213.3214.779.80
13.3714.8613.92
$13.64ftft
$15.9113.7514.4813.0913.4314.0512.9313.1212.1814.4014.3514.8714.9912.6912.2014.0612.1915.3913.7313.3813.9614.6013.7011.2114.4912.8714.0215.60
13.5612.4012.6413.1514.0912.92
12.2612.0411.3312.7611.5410.8812.68ftft
$14.279.76
12.4514.7012.4711.418.90
10.3410.5313.1314.4112.0413.7815.4910.0713.5314.7113.98
$13.77ftft
$16.0313.9914.7713.2313.6214.2812.9413.2312.2514.5714.4515.1615.1612.8312.1314.1012.2915.3313.7313.4814.2614.5714.0611.2314.7113.0514.0815.52
13.4412.5312.7913.3014.2613.04
12.3312.2311.4113.0311.6711.0012.96ftft
$13.959.73
12.4914.9512.4411.328.88
10.3310.4313.3014.6012.1113.8615.5310.1613.5914.9113.93
$13.72
12.25
$578.96
ft$715.29
541.58582.66568.48574.09597.84594.08540.47512.78618.36647.06655.34642.10544.43501.38595.88494.56649.88580.01566.80592.78651.41594.51459.45605.87544.83587.81666.44
572.74520.45534.01559.44638.40545.22
497.12479.74443.56517.09465.22438.48515.50
$518.32382.22482.80563.99467.97444.05344.61458.16472.06527.24633.35491.95542.01617.19417.22583.63690.49601.08
$575.86
$702.21529.02576.16566.31568.65611.89594.61540.08508.80617.23644.10645.21637.87539.46505.47586.27489.56638.39574.18564.63594.45639.00596.74468.50590.66538.89581.79648.95
575.28520.45539.03556.42630.85541.42
496.27478.67443.09517.47461.03430.54518.11
$516.80394.40485.62574.56472.40450.24345.10459.80476.10528.50631.31490.36532.80617.39418.46580.26688.02592.99
$582.43
$669.81572.00605.26572.03572.12608.37627.11552.35500.60619.20627.10640.90647.57536.79497.76590.52515.64629.45586.27572.66596.09643.86582.25495.48615.83530.24574.82641.16
558.67549.32570.06558.88596.01546.52
508.79494.84463.40526.99481.22459.14509.74
ft$674.97
404.06517.92623.28513.76476.94354.22421.87429.62556.71625.39488.82538.80616.50411.86580.44645.77605.33
$596.24ftft
$700.51590.38636.59586.09591.11601.19648.29560.95503.48636.71647.36653.40670.07549.12491.27600.66522.33623.93590.39583.68611.75657.11607.39496.37610.47557.24594.18679.78
559.10551.32574.27573.23630.29558.11
516.63507.55465.53548.56481.97460.90518.40ftft
$641.70419.36529.58657.80521.24484.50360.53427.66430.76570.57642.40497.72544.70625.86418.59588.45653.06614.31
$589.96
509.60
97
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls oy detailedindustry—-Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Durable goods—ContinuedTransportation equipment
Motor vehicles and equipmentMotor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers
Aircraft and partsAircraftAircraft engines and engine partsAircraft paris and equipment, nee
Ship and boat building and repairingShip building and repairingBoat building and repairing
Railroad equipmentGuided missiles, space vehicles, and parts...
Guided missiles and space vehiclesMisc. transportation equipment
Travel trailers and campers
Instruments and related productsSearch and navigation equipmentMeasuring and controlling devices
Environmental controlsProcess control instrumentsInstruments to measure electricity
Medical instruments and suppliesSurgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, clocks, watchcases, and parts
Miscellaneous manufacturing industriesJewelry, silverware, and plated ware
Jewelry, precious metalMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehiclesSporting and athletic goods, nee
Pens, pencils, office, and art suppliesCostume jewelry and notions
Costume jewelryMiscellaneous manufactures
Signs and advertising specialties
Nondurable goods
Food and kindred productsMeat products
Meat packing plantsSausages and other prepared meatsPoultry slaughtering and processing
Dairy productsCheese, natural and processedFluid milk
Preserved fruits and vegetablesCanned specialtiesCanned fruits and vegetablesFrozen fruits and vegetables
Grain mill productsFlour and other grain mill productsPrepared feeds, nee
See footnotes at end of table.
3737137113713371437153723721372437283733731373237437637613793792
3838138238223823382538438413842385386387
3939139113933943942,4394939539639613993993
202012011201320152022022202620320322033203720420412048
44.445.546.742.545.242.543.041.445.443.642.544.040.044.742.643.039.638.2
41.541.942.342.742.741.740.440.239.938.643.641.4
40.339.038.442.540.340.140.440.239.739.640.641.7
40.9
42.141.845.242.639.742.642.142.842.043.643.539.946.146.744.0
43.844.845.541.744.941.341.641.244.939.842.243.440.143.743.144.039.838.7
41.441.942.041.342.042.840.841.040.238.442.741.0
40.340.239.742.540.240.140.240.238.137.440.641.4
40.6
41.440.943.841.439.241.441.341.341.140.840.841.845.445.843.6
44.345.545.942.446.041.143.241.744.244.442.344.139.544.643.444.138.337.6
41.643.441.842.042.441.240.840.640.540.542.540.7
39.939.438.641.139.739.340.040.339.839.039.940.8
40.9
41.540.642.341.939.141.741.242.041.943.143.837.945.346.243.9
45.146.346.942.846.740.844.343.645.244.542.243.739.945.743.844.738.537.9
42.043.642.242.043.240.741.340.941.239.643.642.0
40.440.239.640.040.138.740.941.142.143.040.341.3
41.3
42.241.243.442.339.542.141.542.943.547.045.641.647.147.545.4
44.145.0
41.8
39.9
40.9
41.7
6.27.07.45.27.14.95.64.96.95.74.65.43.25.44.75.22.31.6
3.63.43.53.83.52.83.13.42.81.48.02.7
3.42.92.94.13.53.73.42.62.52.33.84.3
4.5
5.85.46.96.24.35.55.65.36.65.98.44.78.38.37.2
5.96.67.04.66.83.45.45.06.35.14.35.03.24.94.34.62.31.6
3.43.33.13.33.02.83.02.93.01.57.22.2
3.54.14.14.33.13.03.22.81.91.44.04.4
4.2
5.14.75.85.63.84.84.84.65.25.75.55.57.77.96.7
6.16.86.84.67.43.25.95.26.66.34.75.73.15.14.04.32.81.8
3.73.93.33.83.72.43.23.33.42.48.02.6
3.22.92.52.72.82.53.03.12.71.93.74.3
4.4
5.34.34.95.53.65.14.94.96.55.98.54.27.27.56.4
6.97.67.95.58.13.07.38.17.16.44.35.03.26.43.94.12.82.0
4.14.13.63.84.12.33.63.73.62.29.33.4
3.63.43.33.13.02.53.23.33.73.84.24.6
4.7
5.84.95.95.74.05.35.25.57.4
10.59.35.28.29.17.4
4.4
98
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept. Oct.1996P
Durable goods—ContinuedTransportation equipment
Motor vehicles and equipmentMotor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers
Aircraft and partsAircraftAircraft engines and engine partsAircraft parts and equipment, nee
Ship and boat building and repairingShip building and repairingBoat building and repairing
Railroad equipmentGuided missiles, space vehicles, and parts..
Guided missiles and space vehiclesMisc. transportation equipment
Travel trailers and campers
Instruments and related productsSearch and navigation equipmentMeasuring and controlling devices
Environmental controlsProcess control instrumentsInstruments to measure electricity
Medical instruments and suppliesSurgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, clocks, watchcases, and parts
Miscellaneous manufacturing industriesJewelry, silverware, and plated ware
Jewelry, precious metalMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehiclesSporting and athletic goods, nee
Pens, pencils, office, and art suppliesCostume jewelry and notions
Costume jewelryMiscellaneous manufactures
Signs and advertising specialties
Nondurable goods
Food and kindred productsMeat products
Meat packing plantsSausages and other prepared meatsPoultry slaughtering and processing
Dairy productsCheese, natural and processedFluid milk
Preserved fruits and vegetablesCanned specialtiesCanned fruits and vegetablesFrozen fruits and vegetables
Grain mill productsFlour and other grain mill productsPrepared feeds, nee
See footnotes at end of table.
3737137113713371437153723721372437283733731373237437637613793792
3838138238223823382538438413642385386387
3939139113933943942,4394939539639613993993
202012011201320152022022202620320322033203720420412048
$16.9617.5820.6714.7016.4210.65
()$16.20
12.6914.0010.2115.1417.94(3)
$11.1411.30
12.8116.4412.6211.3912.0914.3211.7111.2810.899.54
15.638.80
10.1210.2410.2310.519.619.039.90
10.978.567.35
10.5310.97
11.65
10.979.089.66
10.528.18
12.5011.4413.1510.4313.5610.679.61
13.7212.1511.03
$16.7517.5120.6514.4416.3210.72
()0
$15.4012.7714.1710.1914.8217.93(3)
$11.1111.21
12.7716.4312.6811.3512.2314.4411.6011.1610.809.57
15.538.84
10.1410.3510.3910.489.559.129.77
11.008.657.48
10.5511.14
11.67
10.929.019.62
10.498.10
12.4211.1913.1410.2713.8210.529.49
13.6412.1111.02
$17.3117.8721.0814.6116.6010.86P)3()
$16.4212.9614.3510.5616.6118.71(3)
$11.4111.31
13.1816.6913.1311.9212.7114.8712.1011.5011.1910.0415.849.57
10.3910.8610.8910.579.839.31
10.1110.778.827.49
10.8111.34
11.96
11.189.139.79
10.418.24
12.9011.6413.5510.6713.7311.159.93
13.8812.0611.09
$17.5018.1321.3815.2116.7910.9503
$16.4412.7914.1410.5117.0818.77
$11.3911.38
13.2716.8213.1711.9312.7115.0312.2011.6811.2210.2016.069.59
10.5210.8510.9510.8110.089.40
10.4410.908.827.69
10.9311.59
12.02
11.219.229.96
10.508.28
12.9811.7813.6910.5414.0010.6510.0514.0512.3811.16
$17.3117.82
13.23
10.54
12.03
11.21
$753.02799.89965.29624.75742.18452.63
()$706.32539.33616.00408.40676.76764.24
$441.14431.66
531.62688.84533.83486.35516.24597.14473.08453.46434.51368.24681.47364.32
407.84399.36392.83446.68387.28362.10399.96440.99339.83291.06427.52457.45
476.49
461.84379.54436.63448.15324.75532.50481.62562.82438.06591.22464.15383.44632.49567.41485.32
$733.65784.45939.58602.15732.77442.74
()$612.92538.89614.98408.62647.63772.78
$442.18433.83
528.68688.42532.56468.76513.66618.03473.28457.56434.16367.49663.13362.44
408.64416.07412.48445.40383.91365.71392.75442.20329.57279.75428.33461.20
473.80
452.09368.51421.36434.29317.52514.19462.15542.68422.10563.86429.22396.68619.26554.64480.47
$766.83813.09967.57619.46763.60446.35
0$729.05
548.21632.84417.12740.81812.01
$437.00425.26
548.29724.35548.83500.64538.90612.64493.68466.90453.20406.62673.20389.50
414.56427.88420.35434.43390.25365.88404.40434.03351.04292.11431.32462.67
489.16
463.97370.68414.12436.18322.18537.93479.57569.10447.07591.76488.37376.35628.76557.17486.85
$789.25839.42
1,002.72650.99784.09446.76
$731.58539.74617.92419.35780.56822.13
$438.52431.30
557.34733.35555.77501.06549.07611.72503.86477.71462.26403.92700.22402.78
425.01436.17433.62432.40404.21363.78427.00447.99371.32330.67440.48478.67
496.43
473.06379.86432.26444.15327.06546.46488.87587.30458.49658.00485.64418.08661.76588.05506.66
$763.37801.90
553.01
420.55
492.03
467.46
99
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Nondurable goods—ContinuedFood and kindred products—Continued
Bakery productsBread, cake, and related productsCookies, crackers, and frozen bakery products,
except breadSugar and confectionery products
Raw cane sugarCane sugar refiningBeet sugarCandy and other confectionery products
Fats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. food and kindred products
Tobacco productsCigarettes
Textile mill productsBroadwoven fabric mills, cottonBroadwoven fabric mills, syntheticsBroadwoven fabric mills, woolNarrow fabric millsKnitting mills
Women's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear millsWeft knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetics
Carpets and rugsYarn and thread mills
Yarn spinning millsThrowing and winding mills
Miscellaneous textile goods
Apparel and other textile productsMen's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirtsMen's and boys' trousers and slacksMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and shirtsWomen's, juniors', and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee
Women's and children's undergarmentsWomen's and children's underwearBrassieres, girdles, and allied garments
Girls' and children's outerwearGirls' and children's dresses and blouses
Misc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishings, neeAutomotive and apparel trimmings
Paper and allied productsPaper millsPaperboard mills
See footnotes at end of table.
2052051
2052,3206206120622063206420720820822086209
21211
22221222223224225225122522253225422572262261226222722822812282229
232312322321232523262332331233523372339234234123422362361238239239123922396
26262263
40.740.5
41.140.844.146.040.339.844.543.046.841.841.0
40.039.4
41.142.640.739.240.540.040.537.740.537.442.141.843.140.042.840.941.338.641.8
37.236.536.335.436.137.135.935.535.235.136.337.837.538.937.537.437.239.738.940.140.7
43.445.845.3
40.139.7
40.841.844.950.243.740.145.042.546.140.440.0
40.440.1
40.642.340.538.439.639.641.638.139.736.940.441.242.439.541.840.341.037.941.7
36.936.236.234.736.336.735.535.235.534.135.737.036.937.537.036.137.739.337.939.340.2
43.145.045.0
40.540.4
40.740.244.147.043.838.844.842.746.641.540.8
40.141.7
41.343.441.138.839.839.840.037.940.637.240.942.643.541.343.041.642.138.441.1
37.736.937.336.236.637.736.235.338.036.235.937.637.438.537.036.638.440.137.840.541.0
43.444.544.6
40.940.5
41.741.143.150.040.939.645.542.845.341.641.1
42.142.0
41.442.941.141.140.040.040.537.841.038.440.942.843.941.443.241.441.938.841.5
37.537.236.936.136.437.036.036.037.735.635.637.236.838.637.237.037.940.237.341.141.0
44.046.044.3
41.0
41.0
37.4
43.8
4.95.1
4.64.76.49.75.64.17.45.67.64.85.5
3.84.8
4.46.54.33.33.63.53.42.83.42.04.54.95.54.15.44.14.43.44.3
2.01.21.31.31.01.31.71.11.82.01.71.71.62.12.32.51.53.42.34.13.7
5.76.87.7
4.74.7
4.65.59.613.08.34.07.25.06.93.74.5
5.27.0
4.25.94.33.03.33.33.62.83.21.74.34.55.03.94.84.04.42.94.3
1.91.11.51.21.41.21.61.11.61.71.71.61.51.92.02.01.73.11.53.43.1
5.56.67.7
5.15.4
4.53.96.211.54.43.27.05.57.35.35.3
5.67.2
4.66.74.74.23.03.63.52.83.42.65.15.35.44.75.74.64.93.34.2
2.21.51.61.41.41.41.81.22.22.21.72.22.02.72.31.91.83.61.93.94.3
5.86.37.4
5.45.5
5.34.66.014.84.53.87.35.56.84.75.7
5.67.0
4.76.24.55.23.23.83.92.93.73.05.45.65.94.75.94.54.83.54.4
2.21.51.61.51.51.01.71.62.11.91.52.32.32.42.52.21.53.91.64.54.4
6.17.07.3
100
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Nondurable goods—ContinuedFood and kindred products—Continued
Bakery productsBread, cake, and related productsCookies, crackers, and frozen bakery products,
except breadSugar and confectionery products
Raw cane sugarCane sugar refiningBeet sugarCandy and other confectionery products
Fats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. food and kindred products
Tobacco productsCigarettes
Textile mill productsBroadwoven fabric mills, cottonBroadwoven fabric mills, syntheticsBroadwoven fabric mills, woolNarrow fabric millsKnitting mills
Women's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear millsWeft knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetics
Carpets and rugsYarn and thread mills
Yarn spinning millsThrowing and winding mills
Miscellaneous textile goods
Apparel and other textile productsMen's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirtsMen's and boys' trousers and slacksMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and shirtsWomen's, juniors', and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee
Women's and children's undergarmentsWomen's and children's underwearBrassieres, girdles, and allied garments
Girls' and children's outerwearGirls' and children's dresses and blouses
Misc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishings, neeAutomotive and apparel trimmings
Paper and allied productsPaper millsPaperboard mills
See footnotes at end of table.
2052051
2052,3206206120622063206420720820822086209
21211
222212222232242252251225222532254'22572262261226222722822812282229
232312322321232523262332331233523372339234234123422362361238239239123922396
26262263
$11.8812.01
11.6311.8611.2716.6113.5410.6711.7615.5321.0712.559.97
17.6823.97
9.5010.0110.459.798.758.738.208.378.178.899.789.619.409.989.529.309.269.58
10.81
7.718.117.207.107.187.167.376.588.098.057.217.357.138.136.936.687.238.887.588.18
11.23
14.3318.0218.03
$11.8712.00
11.6411.5610.4616.8211.6510.6211.5515.5521.1712.6610.06
18.1924.66
9.489.96
10.469.858.808.708.168.408.178.829.729.609.369.999.449.309.269.56
10.76
7.738.197.217.147.067.227.386.508.088.127.237.327.167.876.916.727.278.887.478.16
11.24
14.3118.1218.02
$12.1612.32
11.8812.3511.6317.6614.4111.1612.1315.6421.2612.9410.07
20.4425.34
9.7110.0910.689.989.108.908.378.798.268.869.829.929.86
10.299.829.459.449.66
11.04
7.938.207.397.257.427.427.496.568.397.967.297.527.397.977.066.957.359.197.418.39
11.93
14.7018.5318.43
$12.1712.35
11.8812.2511.7318.2214.0210.9912.0815.6621.3412.9510.12
18.7425.00
9.7710.1810.7110.389.128.928.328.878.359.009.76
10.009.88
10.479.899.539.499.80
11.04
8.008.217.437.377.497.357.526.628.397.957.347.577.457.967.117.037.429.317.428.49
12.00
14.7418.6418.68
$18.34
9.72
8.04
14.72
$483.52486.41
477.99483.89497.01764.06545.66424.67523.32667.79986.08524.59408.77
707.20944.42
390.45426.43425.32383.77354.38349.20332.10315.55330.89332.49411.74401.70405.14399.20407.46380.37382.44369.79451.86
286.81296.02261.36251.34259.20265.64264.58233.59284.77282.56261.72277.83267.38316.26259.88249.83268.96352.54294.86328.02457.06
621.92825.32816.76
$475.99476.40
474.91483.21469.65844.36509.11425.86519.75660.88975.94511.46402.40
734.88988.87
384.89421.31423.63378.24348.48344.52339.46320.04324.35325.46392.69395.52396.86394.61394.59374.79379.66362.32448.69
285.24296.48261.00247.76256.28264.97261.99228.80286.84276.89258.11270.84264.20295.13255.67242.59274.08348.98283.11320.69451.85
616.76815.40810.90
$492.48497.73
483.52496.47512.88830.02631.16433.01543.42667.83990.72537.01410.86
819.641,056.68
401.02437.91438.95387.22362.18354.22334.80333.14335.36329.59401.64422.59428.91424.98422.26393.12397.42370.94453.74
298.96302.58275.65262.45271.57279.73271.14231.57318.82288.15261.71282.75276.39306.85261.22254.37282.24368.52280.10339.80489.13
637.98824.59821.98
$497.75500.18
495.40503.48505.56911.00573.42435.20549.64670.25966.70538.72415.93
788.951,050.00
404.48436.72440.18426.62364.80356.80336.96335.29342.35345.60399.18428.00433.73433.46427.25394.54397.63380.24458.16
300.00305.41274.17266.06272.64271.95270.72238.32316.30283.02261.30281.60274.16307.26264.49260.11281.22374.26276.77348.94492.00
648.56857.44827.52
$751.94
398.52
300.70
644.74
101
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedIndustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Nondurable goods—ContinuedPaper and allied products—Continued
Paperboard containers and boxesCorrugated and solid fiber boxesSanitary food containersFolding paperboard boxes
Misc. converted paper productsPaper, coated and laminated, neeBags: plastics, laminated, and coatedEnvelopes
Printing and publishingNewspapersPeriodicalsBooks
Book publishingBook printing
Miscellaneous publishingCommercial printing
Commercial printing, lithographicCommercial printing, nee
Manifold business formsBlankbooks and bookbindingPrinting trade services
Chemicals and allied productsIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsPolishing, sanitation, and finishing preparationsToilet preparations
Paints and allied productsIndustrial organic chemicals
Cyclic crudes and intermediatesIndustrial organic chemicals, nee
Agricultural chemicalsMiscellaneous chemical products
Petroleum and coal productsPetroleum refiningAsphalt paving and roofing materials
Rubber and misc. plastics productsTires and inner tubesRubber and plastics footwearHose, belting, gaskets, and packing
Rubber and plastics hose and beltingFabricated rubber products, neeMiscellaneous plastics products, nee
Leather and leather productsLeather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
Service-producing
Transportation and public utilities
See footnotes at end of table.
265265326562657267267226732677
272712722732731273227427527522759276278279
28281281928228212824283283428428412842,3284428528628652869287289
29291295
303013023053052306308
3131131431433144316317
43.344.240.642.941.441.841.841.5
38.632.838.940.438.442.636.440.440.440.341.739.539.4
43.245.545.443.644.744.541.741.641.544.139.841.142.944.443.644.645.144.0
43.842.947.0
41.843.839.141.642.741.441.7
38.642.837.837.738.538.537.6
32.7
39.7
43.244.040.243.241.141.541.841.0
38.332.837.939.137.341.035.840.139.940.542.239.038.9
43.245.245.643.944.445.541.741.440.941.140.141.142.445.045.144.946.143.5
44.343.846.5
41.544.438.341.443.140.841.4
38.241.137.037.338.039.639.8
32.8
39.7
43.844.142.943.942.043.542.241.9
38.633.136.840.437.943.135.940.239.840.141.140.139.1
42.945.645.944.344.545.841.341.640.642.040.639.942.444.345.444.044.143.3
43.942.847.2
41.643.439.841.943.442.341.3
39.044.837.837.239.638.638.2
33.1
40.1
44.344.742.844.842.243.942.041.9
38.833.237.640.037.542.635.140.740.440.541.940.339.0
43.346.846.944.345.244.941.641.841.542.640.641.442.544.145.243.845.043.2
44.343.746.5
42.043.739.843.043.842.941.7
39.245.037.536.439.041.238.5
33.0
40.4
38.5
43.0
44.1
41.5
39.4
5.56.14.55.44.43.75.43.9
3.71.44.23.72.05.52.14.64.44.54.33.14.2
5.05.65.96.16.65.74.14.03.85.03.43.33.95.95.65.96.65.1
6.55.3
10.4
4.45.91.74.14.34.04.4
2.35.81.61.51.62.42.5
5.35.73.95.54.33.64.93.5
3.31.33.52.91.64.31.74.24.04.44.02.63.6
5.15.86.16.16.75.74.03.83.64.13.33.53.66.57.26.37.24.9
6.86.09.9
4.36.71.54.04.63.64.1
2.24.91.31.01.62.43.5
6.16.45.46.44.74.35.34.5
3.41.33.53.81.95.91.84.24.03.94.23.14.2
4.95.65.95.85.95.94.24.13.64.43.23.44.46.06.35.95.45.1
6.85.4
11.4
4.45.5
4.34.84.34.3
2.16.71.41.41.22.31.8
6.36.74.87.05.04.55.44.7
3.71.43.83.71.85.62.34.64.54.34.43.54.0
5.26.16.35.95.75.74.54.44.25.03.74.04.66.06.55.86.25.2
6.44.8
11.2
4.75.7
.24.85.04.84.6
2.36.81.61.31.33.21.7
32.7
40.0
102
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Nondurable goods—ContinuedPaper and allied products-—Continued
Paperboard containers and boxesCorrugated and solid fiber boxesSanitary food containersFolding paperboard boxes
Misc. converted paper productsPaper, coated and laminated, neeBags: plastics, laminated, and coatedEnvelopes
Printing and publishingNewspapersPeriodicalsBooks
Book publishingBook printing
Miscellaneous publishingCommercial printing
Commercial printing, lithographicCommercial printing, nee
Manifold business formsBlankbooks and bookbindingPrinting trade services
Chemicals and allied productsIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsPolishing, sanitation, and finishing preparationsToilet preparations
Paints and allied productsIndustrial organic chemicals
Cyclic crudes and intermediatesIndustrial organic chemicals, nee
Agricultural chemicalsMiscellaneous chemical products
Petroleum and coal productsPetroleum refiningAsphalt paving and roofing materials
Rubber and misc. plastics productsTires and inner tubesRubber and plastics footwearHose, belting, gaskets, and packing
Rubber and plastics hose and beltingFabricated rubber products, neeMiscellaneous plastics products, nee
Leather and leather productsLeather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
Service-producing
Transportation and public utilities
See footnotes at end of table.
265265326562657267267226732677
272712722732731273227427527522759276278279
28281281928228212824283283428428412842,3284428528628652869287289
29291295
303013023053052306308
3131131431433144316317
$12.1712.2112.3212.8312.4614.4511.5411.68
12.5012.2713.4011.8211.4512.1711.8612.7312.7912.4713.149.78
15.29
15.7217.5317.9216.3718.1714.0615.2215.0412.6515.9812.0611.1913.1219.2619.0019.4316.1814.55
19.4021.4615.19
10.9917.728.57
11.1511.3910.6310.32
8.2411.327.738.267.188.337.49
10.96
14.35
$12.0512.0012.1612.8512.4414.5011.4411.66
12.4312.2913.2411.8711.5312.2011.8912.6412.7312.3513.269.67
15.17
15.8117.6717.9416.4418.2614.4115.1614.9412.7216.0312.1211.3213.2619.5519.2919.7216.2314.51
19.6821.8015.36
11.0118.048.67
11.1411.3410.5510.31
8.2311.217.798.267.158.067.41
11.04
14.46
$12.5312.5212.5713.2512.8114.8811.6511.90
12.6912.5013.9512.1011.4412.7412.2912.9013.1312.2713.589.91
15.68
16.2518.1918.6717.0918.6115.0015.9915.8112.9116.2012.2711.5113.4819.5819.7019.6816.1914.91
18.9621.0914.98
11.2317.969.24
11.5011.6210.7410.57
8.6311.788.088.937.078.697.54
11.16
14.55
$12.4912.5212.2913.1612.8414.8511.6711.93
12.8212.6414.0612.3211.7512.8612.1813.0313.3012.3513.6310.1615.71
16.2918.1018.4617.1918.7214.8216.0015.8512.8216.6612.4211.1013.5219.7519.4119.9716.5414.93
19.3121.4715.17
11.3017.979.27
11.5311.6610.8110.66
8.7111.858.209.097.218.517.54
11.38
14.62
$12.82
16.38
19.42
11.26
8.70
$11.38
14.60
$526.96539.68500.19550.41515.84604.01482.37484.72
482.50402.46521.26477.53439.68518.44431.70514.29516.72502.54547.94386.31602.43
679.10797.62813.57713.73812.20625.67634.67625.66524.98704.72479.99459.91562.85855.14828.40866.58729.72640.20
849.72920.63713.93
459.38776.14335.09463.84486.35440.08430.34
318.06484.50292.19311.40276.43320.71281.62
358.39
569.70
$520.56528.00488.83555.12511.28601.75478.19478.06
476.07403.11501.80464.12430.07500.20425.66506.86507.93500.18559.57377.13590.11
682.99798.68818.06721.72810.74655.66632.17618.52520.25658.83486.01465.25562.22879.75869.98885.43748.20631.19
871.82954.84714.24
456.92800.98332.06461.20488.75430.44426.83
314.39460.73288.23308.10271.70319.18294.92
362.11
574.06
$548.81552.13539.25581.68538.02647.28491.63498.61
489.83413.75513.36488.84433.58549.09441.21518.58522.57492.03558.14397.39613.09
697.13829.46856.95757.09828.15687.00660.39657.70524.15680.40498.16459.25571.55867.39894.38865.92713.98645.60
832.34902.65707.06
467.17779.46367.75481.85504.31454.30436.54
336.57527.74305.42332.20279.97335.43288.03
369.40
583.46
$553.31559.64526.01589.57541.85651.92490.14499.87
497.42419.65528.66492.80440.63547.84427.52530.32537.32500.18571.10409.45612.69
705.36847.08865.77761.52846.14665.42665.60662.53532.03709.72504.25459.54574.60870.98877.33874.69744.30644.98
855.43938.24705.41
474.60785.29368.95495.79510.71463.75444.52
341.43533.25307.50330.88281.19350.61290.29
375.54
590.65
$493.57
704.34
856.42
467.29
342.78
$372.13
584.00
103
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedIndustry—-Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Transportation and public utilities—ContinuedRailroad transportation:
Class I railroads plus Amtrak4
Local and interurban passenger transitLocal and suburban transportationIntercity and rural bus transportation
Trucking and warehousingTrucking and courier services, except airPublic warehousing and storage
Water transportation:Water transportation services
Pipelines, except natural gas
Transportation servicesPassenger transportation arrangement
Travel agenciesFreight transportation arrangement
CommunicationsTelephone communications
Telephone communications, except radioRadio and television broadcastingCable and other pay television services
Electric, gas, and sanitary servicesElectric servicesGas production and distributionCombination utility servicesSanitary services
Wholesale trade
Durable goods ,Motor vehicles, parts, and suppliesFurniture and home furnishingsLumber and other construction materialsProfessional and commercial equipment
Medical and hospital equipmentMetals and minerals, except petroleumElectrical goodsHardware, plumbing, and heating equipment..Machinery, equipment, and suppliesMisc. wholesale trade durable goods
Nondurable goodsPaper and paper productsDrugs, proprietaries, and sundriesApparel, piece goods, and notionsGroceries and related productsFarm-product raw materialsChemicals and allied productsPetroleum and petroleum productsBeer, wine, and distilled beveragesMisc. wholesale trade nondurable goods
Retail trade
Building materials and garden suppliesLumber and other building materialsPaint, glass, and wallpaper storesHardware storesRetail nurseries and garden stores
See footnotes at end of table.
4011
41411413
42421422
449
46
474724724473
484814813483484
49491492493495
505015025035045047505506507508509
51511512513514515516517518519
52521523525526
46.3
33.438.536.9
39.539.441.0
37.1
44.5
37.636.436.339.0
40.141.741.934.939.8
42.442.442.542.642.8
38.3
38.938.137.740.438.837.741.138.838.739.338.1
37.536.637.037.338.535.439.837.537.236.2
28.9
35.837.536.832.232.0
46.8
33.738.738.5
39.539.440.6
38.1
44.5
38.737.637.640.2
40.241.841.935.439.4
42.843.043.142.642.9
38.5
39.238.237.640.639.438.341.439.138.939.538.2
37.636.737.037.538.437.139.937.837.236.7
28.8
35.737.137.032.332.3
48.2
35.438.938.4
39.539.638.9
37.8
44.5
37.836.836.439.2
41.042.943.535.239.9
41.941.742.341.742.6
38.4
39.138.137.740.639.239.241.539.139.039.338.2
37.436.835.937.338.435.340.137.437.736.4
29.5
35.637.136.832.432.0
49.0
34.839.238.3
39.639.539.7
37.4
45.9
38.838.037.640.0
41.543.343.735.940.4
42.542.742.942.142.7
38.6
39.438.237.541.039.839.441.539.639.439.638.1
37.536.036.437.738.435.740.737.837.736.4
29.1
35.236.836.331.631.2
38.3
28.8
104
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedIndustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Transportation and public utilities—ContinuedRailroad transportation:
Class I railroads plus Amtrak4
Local and interurban passenger transitLocal and suburban transportationIntercity and rural bus transportation
Trucking and warehousingTrucking and courier services, except airPublic warehousing and storage
Water transportation:Water transportation services
Pipelines, except natural gas
Transportation servicesPassenger transportation arrangement
Travel agenciesFreight transportation arrangement
CommunicationsTelephone communications
Telephone communications, except radioRadio and television broadcastingCable and other pay television services
Electric, gas, and sanitary servicesElectric servicesGas production and distributionCombination utility servicesSanitary services
Wholesale trade
Durable goodsMotor vehicles, parts, and suppliesFurniture and home furnishingsLumber and other construction materialsProfessional and commercial equipment
Medical and hospital equipmentMetals and minerals, except petroleumElectrical goodsHardware, plumbing, and heating equipment...Machinery, equipment, and suppliesMisc. wholesale trade durable goods
Nondurable goodsPaper and paper productsDrugs, proprietaries, and sundriesApparel, piece goods, and notionsGroceries and related productsFarm-product raw materialsChemicals and allied productsPetroleum and petroleum productsBeer, wine, and distilled beveragesMisc. wholesale trade nondurable goods
Retail trade
Building materials and garden suppliesLumber and other building materialsPaint, glass, and wallpaper storesHardware storesRetail nurseries and garden stores
See footnotes at end of table.
4011
41411413
42421422
449
46
474724724473
484814813483484
49491492493495
505015025035045047505506507508509
51511512513514515516517518519
52521523525526
$17.52
10.6011.2912.33
13.0513.2610.44
18.57
20.31
12.5212.3912.7113.13
15.6416.3016.6215.3212.21
17.7018.5017.3021.7113.05
12.51
13.0111.4011.2811.8715.5813.7312.7613.6712.2513.1410.18
11.8012.1815.0511.3612.128.70
13.5011.1413.449.85
7.77
9.289.589.977.868.38
$17.65
10.5511.2712.04
13.0213.2410.32
18.44
20.26
12.6712.5812.9313.26
15.9016.6517.0215.4112.22
17.9218.7717.6621.8213.18
12.55
13.0611.4011.3311.8615.6913.8112.7613.7012.3413.1810.22
11.8212.2815.0911.4712.108.90
13.5411.2613.429.86
7.77
9.279.629.867.828.37
$17.84
10.9211.4313.29
13.1013.2910.68
17.72
20.01
12.8412.8313.1713.31
16.1216.8117.1915.8412.66
18.0919.1417.3122.0613.53
12.82
13.3611.6911.8612.1415.9514.8512.9614.3212.6213.3110.48
12.0412.2115.5311.7812.438.98
13.6811.1313.819.95
7.95
9.469.90
10.027.918.32
$17.69
10.7411.4413.38
13.2013.3910.78
18.63
20.54
12.7712.7012.9913.29
16.2416.9017.3216.0712.78
18.4819.6217.7622.3713.68
12.99
13.5611.8411.9812.2116.2015.0113.1514.6112.7713.5310.56
12.1812.5915.9311.8512.479.07
13.8811.3513.9210.10
8.06
9.6010.0010.078.058.61
$12.89
8.12
$811.18
354.04434.67454.98
515.48522.44428.04
688.95
903.80
470.75451.00461.37512.07
627.16679.71696.38534.67485.96
750.48784.40735.25924.85558.54
479.13
506.09434.34425.26479.55604.50517.62524.44530.40474.08516.40387.86
442.50445.79556.85423.73466.62307.98537.30417.75499.97356.57
224.55
332.22359.25366.90253.09268.16
$826.02
355.54436.15463.54
514.29521.66418.99
702.56
901.57
490.33473.01486.17533.05
639.18695.97713.14545.51481.47
766.98807.11761.15929.53565.42
483.18
511.95435.48426.01481.52618.19528.92528.26535.67480.03520.61390.40
444.43450.68558.33430.13464.64330.19540.25425.63499.22361.86
223.78
330.94356.90364.82252.59270.35
$859.89
386.57444.63510.34
517.45526.28415.45
669.82
890.45
485.35472.14479.39521.75
660.92721.15747.77557.57505.13
757.97798.14732.21919.90576.38
492.29
522.38445.39447.12492.88625.24582.12537.84559.91492.18523.08400.34
450.30449.33557.53439.39477.31316.99548.57416.26520.64362.18
234.53
336.78367.29368.74256.28266.24
$866.81
373.75448.45512.45
522.72528.91427.97
696.76
942.79
495.48482.60488.42531.60
673.96731.77756.88576.91516.31
785.40837.77761.90941.78584.14
501.41
534.26452.29449.25500.61644.76591.39545.73578.56503.14535.79402.34
456.75453.24579.85446.75478.85323.80564.92429.03524.78367.64
234.55
337.92368.00365.54254.38268.63
$493.69
233.86
105
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Retail trade—ContinuedGeneral merchandise stores
Department storesVariety storesMisc. general merchandise stores
Food storesGrocery storesRetail bakeries
Automotive dealers and service stations ...New and used car dealersAuto and home supply storesGasoline service stationsAutomotive dealers, nee
Apparel and accessory storesMen's and boys' clothing storesWomen's clothing storesFamily clothing storesShoe stores
Furniture and home furnishings storesFurniture and home furnishings stores ...Household appliance storesRadio, television, and computer stores ...
Radio, television, and electronic storesRecord and prerecorded tape stores ...
Eating and drinking places5
Miscellaneous retail establishmentsDrug stores and proprietary storesUsed merchandise storesMiscellaneous shopping goods stores ....Nonstore retailersFuel dealersRetail stores, nee
Optical goods storesMiscellaneous retail stores, nee
Finance, insurance, and real estate6
Depository institutionsCommercial banks
State commercial banksNational and commercial banks, nee ...
Credit unions
Nondepository institutionsPersonal credit institutions
Security and commodity brokers:Security and commodity services
Insurance carriersLife insuranceMedical service and health insurance .....
Hospital and medical service plansFire, marine, and casualty insurance
Services
Agricultural services
See footnotes at end of table.
53531533539
54541546
55551553554559
56561562565566
5757157257357315735
58
5959159359459659859959955999
6060260226021,9606
61614
628
636316326324633
07
30.731.027.429.3
29.830.028.0
35.436.637.932.233.8
26.229.024.126.926.2
32.833.334.631.931.726.4
25.0
29.728.531.327.933.037.431.132.731.7
35.7
35.235.135.334.935.6
37.937.9
36.2
37.937.538.738.738.1
32.3
34.8
29.329.427.229.3
29.529.727.9
35.636.937.632.534.2
25.929.123.826.725.7
32.933.134.332.231.627.0
25.2
29.628.431.527.632.938.031.233.331.8
36.4
36.136.136.136.136.0
38.838.8
37.0
38.438.039.039.038.2
32.6
35.1
29.729.728.330.4
30.330.528.7
35.837.038.332.435.7
27.329.025.528.526.9
33.433.434.633.133.027.7
26.2
30.329.431.029.232.937.130.934.231.5
35.7
35.235.035.434.735.9
38.038.6
36.4
38.137.639.039.138.4
32.7
35.3
30.730.927.830.1
29.930.028.3
35.537.037.832.035.5
26.728.724.828.126.3
33.433.434.633.333.226.6
25.2
29.829.030.928.332.537.530.633.531.1
36.5
36.136.136.435.836.1
39.139.3
38.3
38.638.239.439.438.3
32.6
34.9
35.4
32.3
106
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Retail trade—ContinuedGeneral merchandise stores
Department storesVariety storesMisc. general merchandise stores
Food storesGrocery storesRetail bakeries
Automotive dealers and service stations ...New and used car dealersAuto and home supply storesGasoline service stationsAutomotive dealers, nee
Apparel and accessory storesMen's and boys' clothing storesWomen's clothing storesFamily clothing storesShoe stores
Furniture and home furnishings storesFurniture and home furnishings stores ...Household appliance storesRadio, television, and computer stores...
Radio, television, and electronic storesRecord and prerecorded tape stores ...
Eating and drinking places5
Miscellaneous retail establishmentsDrug stores and proprietary storesUsed merchandise storesMiscellaneous shopping goods stores ....Nonstore retailersFuel dealersRetail stores, nee
Optical goods storesMiscellaneous retail stores, nee
Finance, insurance, and real estate6
Depository institutionsCommercial banks
State commercial banksNational and commercial banks, nee ...
Credit unions
Nondepository institutionsPersonal credit institutions
Security and commodity brokers:Security and commodity services
Insurance carriersLife insuranceMedical service and health insurance
Hospital and medical service plansFire, marine, and casualty insurance
Services
Agricultural services
See footnotes at end of table.
53531533539
54541546
55551553554559
56561562565566
5757157257357315735
58
5959159359459659659959955999
6060260226021,£606
61614
628
636316326324633
07
$7.607.627.327.43
8.228.317.35
10.6113.438.887.00
11.24
7.518.797.217.467.47
10.289.92
10.3110.7510.716.48
5.64
8.569.027.127.769.12
11.648.90
11.359.14
12.40
9.649.189.039.289.60
12.7010.29
17.65
14.9314.2413.9014.1616.21
11.45
9.02
$7.597.627.337.35
8.268.357.39
10.4913.148.916.98
11.18
7.548.897.257.397.59
10.189.869.99
10.6510.316.46
5.65
8.549.047.187.738.98
11.648.86
11.179.11
12.53
9.719.289.099.409.69
12.8010.33
17.91
15.1114.5014.0914.3616.36
11.54
9.06
$7.887.937.237.55
8.308.407.45
10.9313.939.027.10
11.79
7.629.017.537.527.39
10.6710.1710.4711.3810.716.56
5.78
8.719.227.367.949.38
11.718.94
11.019.18
12.72
9.909.419.209.569.79
12.8610.96
17.80
15.3114.3414.3014.6016.84
11.64
9.05
$7.937.987.257.62
8.438.537.53
11.0814.119.097.18
11.86
7.789.157.697.757.51
10.8210.2710.6811.6010.926.64
5.82
8.819.397.428.039.35
11.799.05
11.089.29
12.89
10.019.549.359.689.92
13.1411.10
18.13
15.4214.3414.4714.7617.02
11.90
9.26
$12.86
11.92
$233.32236.22200.57217.70
244.96249.30205.80
375.59491.54336.55225.40379.91
196.76254.91173.76200.67195.71
337.18330.34356.73342.93339.51171.07
141.00
254.23257.07222.86216.50300.96435.34276.79371.15289.74
442.68
339.33322.22318.76323.87341.76
481.33389.99
638.93
565.85534.00537.93547.99617.60
369.84
313.90
$222.39224.03199.38215.36
243.67248.00206.18
373.44484.87335.02226.85382.36
195.29258.70172.55197.31195.06
334.92326.37342.66342.93325.80174.42
142.38
252.78256.74226.17213.35295.44442.32276.43371.96289.70
456.09
350.53335.01328.15339.34348.84
496.64400.80
662.67
580.22551.00549.51560.04624.95
376.20
318.01
$234.04235.52204.61229.52
251.49256.20213.82
391.29515.41345.47230.04420.90
208.03261.29192.02214.32198.79
356.38339.68362.26376.68353.43181.71
151.44
263.91271.07228.16231.85308.60434.44276.25376.54289.17
454.10
348.48329.35325.68331.73351.46
488.68423.06
647.92
583.31539.18557.70570.86646.66
380.63
319.47
$243.45246.58201.55229.36
252.06255.90213.10
393.34522.07343.60229.76421.03
207.73262.61190.71217.78197.51
361.39343.02369.53386.28362.54176.62
146.66
262.54272.31229.28227.25303.88442.13276.93371.18288.92
470.49
361.36344.39340.34346.54358.11
513.77436.23
694.38
595.21547.79570.12581.54651.87
387.94
323.17
$455.24
385.02
107
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services—ContinuedAgricultural services-—Continued
Veterinary servicesLandscape and horticultural services
Hotels and other lodging places:Hotels and motels5
Personal services:Laundry, cleaning, and garment servicesBeauty shops5
Miscellaneous personal services
Business servicesAdvertisingMailing, reproduction, and stenographic services:
Photocopying and duplicating servicesServices to buildings
Disinfecting and pest control servicesBuilding maintenance services, nee
Miscellaneous equipment rental and leasingMedical equipment rentalHeavy construction equipment rentalEquipment rental and leasing, nee
Personnel supply services:Help supply services
Computer and data processing servicesComputer programming servicesComputer integrated systems designInformation retrieval servicesComputer maintenance and repair
Miscellaneous business servicesDetective and armored car servicesSecurity systems services
Auto repair, services, and parkingAutomotive rentals, without drivers
Passenger car rentalAutomobile parkingAutomotive repair shops
Automotive and tire repair shopsGeneral automotive repair shops
Automotive services, except repairCarwashes
Miscellaneous repair services
Motion picturesMotion picture production and servicesVideo tape rental
Amusement and recreation servicesBowling centersMisc. amusement and recreation services
Physical fitness facilitiesMembership sports and recreation clubs
Health servicesOffices and clinics of medical doctorsOffices and clinics of dentistsOffices and clinics of other health practitioners ..Nursing and personal care facilities
Intermediate care facilitiesHospitals
See footnotes at end of table.
074078
701
721723729
73731
733473473427349735735273537359
7363737737173737375737873873817382
7575175147527537532,475387547542
76
78781784
7979379979917997
808018028048058052806
28.737.4
31.2
33.827.726.1
32.936.3
36.828.337.927.439.339.239.839.1
31.637.838.137.636.739.033.233.836.1
35.936.035.933.538.137.737.530.828.8
38.4
29.838.823.7
26.525.026.518.528.3
32.732.527.729.832.632.234.4
28.637.9
31.7
34.127.826.6
33.237.2
37.028.638.627.739.339.540.438.8
31.738.538.438.538.840.233.233.735.9
36.035.535.533.238.037.637.431.830.0
38.4
30.740.223.9
26.425.326.318.928.3
32.832.828.230.032.732.734.3
29.637.4
31.7
34.027.726.9
33.435.8
36.928.737.527.839.436.541.039.6
32.537.638.037.838.439.233.434.536.4
36.736.636.933.138.738.638.232.330.1
38.2
30.739.124.1
28.425.029.018.629.3
32.732.728.129.932.332.134.4
28.737.4
31.2
33.827.626.1
33.436.6
36.828.638.327.739.636.940.640.0
32.138.338.339.239.439.333.634.536.7
36.436.436.733.938.638.238.430.928.5
38.1
30.339.023.7
26.524.726.518.328.7
32.933.228.430.233.032.634.3
108
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—-Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services—ContinuedAgricultural services—Continued
Veterinary servicesLandscape and horticultural services
Hotels and other lodging places:Hotels and motels5
Personal services:Laundry, cleaning, and garment servicesBeauty shops5
Miscellaneous personal services
Business servicesAdvertisingMailing, reproduction, and stenographic services:
Photocopying and duplicating servicesServices to buildings
Disinfecting and pest control servicesBuilding maintenance services, nee
Miscellaneous equipment rental and leasingMedical equipment rentalHeavy construction equipment rentalEquipment rental and leasing, nee
Personnel supply services:Help supply services
Computer and data processing servicesComputer programming servicesComputer integrated systems designInformation retrieval servicesComputer maintenance and repair
Miscellaneous business servicesDetective and armored car servicesSecurity systems services
Auto repair, services, and parkingAutomotive rentals, without drivers
Passenger car rentalAutomobile parkingAutomotive repair shops
Automotive and tire repair shopsGeneral automotive repair shops
Automotive services, except repairCarwashes
Miscellaneous repair services
Motion picturesMotion picture production and servicesVideo tape rental
Amusement and recreation servicesBowling centersMisc. amusement and recreation services
Physical fitness facilitiesMembership sports and recreation clubs
Health servicesOffices and clinics of medical doctorsOffices and clinics of dentistsOffices and clinics of other health practitioners ..Nursing and personal care facilities
Intermediate care facilitiesHospitals
See footnotes at end of table.
074078
701
721723729
73731
733473473427349735735273537359
7363737737173737375737873873817382
7575175147527537532,475387547542
76
78781784
7979379979917997
808018028048058052806
$8.929.11
7.97
7.598.628.74
10.7215.92
10.327.539.777.2511.2210.4914.8210.29
8.8017.7920.6418.9514.4414.209.207.1511.24
9.979.738.717.2811.1211.6611.087.476.44
11.75
14.0319.935.91
8.826.788.298.078.43
12.5412.5812.4611.578.838.1914.43
$8.949.17
8.05
7.628.598.82
10.7616.21
10.327.499.727.2111.3310.3914.9610.42
8.7817.9420.8319.3614.3813.969.197.2011.23
10.029.938.957.2511.1511.7011.147.506.51
11.74
14.3620.035.87
8.936.728.408.118.57
12.5612.5912.4911.668.828.1314.48
$8.959.15
7.94
7.738.948.74
11.1516.51
10.577.6810.107.3811.6010.8415.3510.57
9.1018.7321.6819.1714.5413.909.507.3911.77
10.199.688.727.4211.3911.9211.407.686.67
12.09
13.5318.985.93
8.317.177.797.918.15
12.8213.1212.9011.908.968.3514.66
$9.179.34
8.26
7.788.838.96
11.3016.69
10.607.7810.397.4511.7910.7615.5710.84
9.2018.9822.2319.4814.7313.959.577.4411.89
10.289.738.757.4611.5012.0411.527.686.62
12.29
14.3219.626.01
8.967.008.418.108.65
12.9213.2812.9712.099.018.4614.79
$256.00340.71
248.66
256.54238.77228.11
352.69577.90
379.78213.10370.28198.65440.95411.21589.84402.34
278.08672.46786.38712.52529.95553.80305.44241.67405.76
357.92350.28312.69243.88423.67439.58415.50230.08185.47
451.20
418.09773.28140.07
233.73169.50219.69149.30238.57
410.06408.85345.14344.79287.86263.72496.39
$255.68347.54
255.19
259.84238.80234.61
357.23603.01
381.84214.21375.19199.72445.27410.41604.38404.30
278.33690.69799.87745.36557.94561.19305.11242.64403.16
360.72352.52317.73240.70423.70439.92416.64238.50195.30
450.82
440.85805.21140.29
235.75170.02220.92153.28242.53
411.97412.95352.22349.80288.41265.85496.66
$264.92342.21
251.70
262.82247.64235.11
372.41591.06
390.03220.42378.75205.16457.04395.66629.35418.57
295.75704.25823.84724.63558.34544.88317.30254.96428.43
373.97354.29321.77245.60440.79460.11435.48248.06200.77
461.84
415.37742.12142.91
236.00179.25225.91147.13238.80
419.21429.02362.49355.81289.41268.04504.30
$263.18349.32
257.71
262.96243.71233.86
377.42610.85
390.08222.51397.94206.37466.88397.04632.14433.60
295.32726.93851.41763.62580.36548.24321.55256.68436.36
374.19354.17321.13252.89443.90459.93442.37237.31188.67
468.25
433.90765.18142.44
237.44172.90222.87148.23248.26
425.07440.90368.35365.12297.33275.80507.30
109
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average overtime hours
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services—ContinuedHealth services—Continued
Home health care services
Legal services
Social servicesIndividual and family servicesJob training and related servicesChild day care servicesResidential careSocial services, nee
Membership organizations:Professional organizations
Engineering and management servicesEngineering and architectural services ...
Engineering servicesArchitectural servicesSurveying services
Accounting, auditing, and bookkeeping ..Research and testing services
Commercial physical researchCommercial nonphysical researchNoncommercial research organizations
Management and public relationsManagement servicesManagement consulting servicesPublic relations services
Services, nee
See footnotes at end of table.
808
81
83832833835836839
862
87871871187128713872873873187328733874874187428743
89
28.4
34.5
31.131.331.029.832.031.3
34.8
36.939.039.238.137.935.836.339.229.536.535.734.935.432.9
36.8
28.5
35.2
31.431.631.230.132.331.9
35.2
37.339.239.538.237.636.536.439.329.536.936.335.736.034.6
37.6
28.3
34.7
31.130.931.030.131.931.5
34.4
37.039.139.538.038.235.436.740.030.936.136.035.735.734.3
35.9
28.6
35.4
31.531.731.829.732.632.1
35.1
37.539.640.038.436.036.037.441.230.936.736.235.935.935.0
36.0
110
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry1987SIC
Code
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Services-—ContinuedHealth services—Continued
Home health care services
Legal services
Social servicesIndividual and family servicesJob training and related servicesChild day care servicesResidential careSocial services, nee
Membership organizations:Professional organizations
Engineering and management servicesEngineering and architectural services ...
Engineering servicesArchitectural servicesSurveying services
Accounting, auditing, and bookkeeping ..Research and testing services
Commercial physical researchCommercial nonphysical researchNoncommercial research organizations
Management and public relationsManagement servicesManagement consulting servicesPublic relations services
Services, nee
808
81
83832833835836839
862
87871871187128713872873873187328733874874187428743
89
$11.03
16.09
8.388.928.177.138.559.90
15.87
15.9017.4218.1015.8212.5114.2416.7718.9812.7219.1514.5413.0516.9614.10
15.21
$10.97
16.34
8.428.968.227.168.56
10.03
16.17
16.0217.6118.2816.0712.6314.5116.7819.1212.6819.1214.6113.2117.0314.11
15.37
$11.17
16.55
8.499.038.137.108.68
10.21
16.53
16.3017.8318.5716.1112.9314.2017.1619.3813.1620.0615.2013.6417.2014.35
16.16
$11.22
16.88
8.689.228.417.428.77
10.43
16.92
16.6518.2118.9516.5213.2014.5317.4819.8713.6020.0915.5813.9317.7614.85
16.57
$313.25
555.11
260.62279.20253.27212.47273.60309.87
552.28
586.71679.38709.52602.74474.13509.79608.75744.02375.24698.98519.08455.45600.38463.89
559.73
$312.65
575.17
264.39283.14256.46215.52276.49319.96
569.18
597.55690.31722.06613.87474.89529.62610.79751.42374.06705.53530.34471.60613.08488.21
577.91
$316.11
574.29
264.04279.03252.03213.71276.89321.62
568.63
603.10697.15733.52612.18493.93502.68629.77775.20406.64724.17547.20486.95614.04492.21
580.14
$320.89
597.55
273.42292.27267.44220.37285.90334.80
593.89
624.38721.12758.00634.37501.60523.08653.75818.64420.24737.30564.00500.09637.58519.75
596.52
1 Data relate to production workers in mining and manufacturing;construction workers in construction; and nonsupervisory workers intransportation and public utilities; wholesale and retail trade; finance,insurance, and real estate; and services.
2 Publication of data for SIC'S 351, 3511, 363, 3632, 372, and 3724 hasbeen temporarily suspended, as these series are being recalculated toincorporate data inadvertently omitted from the estimates. Data fromMarch 1995 forward are being revised.
3 See table B-15a for average hourly earnings in aircraft (SIC 3721) andguided missiles and space vehicles (SIC 3761) manufacturing.
4 Data relate to line-haul railroads with operating revenues of $253.7million or more in 1993 and to Amtrak.
5 Money payments only; tips, not included.6 Excludes nonoffice commissioned real estate sales agents.- Data not available.p = preliminary.NOTE: Establishment survey estimates are currently projected from
March 1995 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1995 forward are subject torevision.
I l l
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
A Note on Average Hourly Earningsin Aircraft (SIC 3721) and Guided Missilesand Space Vehicles (SIC 3761) Manufacturing
For many years, the Bureau of Labor Statistics averagehourly earning series for production workers in aircraftmanufacturing (SIC 3721) and guided missiles and spacevehicles manufacturing (SIC 3761) have been used toescalate labor costs in contracts between aerospacecompanies and their customers. Although the Bureau'sseries by definition take account of traditional wage ratechanges, they do not capture "lump-sum payments toworkers in lieu of general wage increases" which werenegotiated in aerospace manufacturers' collective bargain-ing agreements beginning in late 1983.
Because of special circumstances in the aerospace
industry, BLS has calculated average hourly earningsseries for SIC 3721 and SIC 3761 which include lump-sumpayments. These series, beginning in October 1983, theeffective date of the first aerospace bargaining agreementusing lump-sum payments, were published in the June1988 issue ofEmployment and Earnings. Current and yearearlier data are presented in table B-15a along with theaverage hourly earnings series produced as part of theCurrent Employment Statistics program. An explanationof the methodology used to derive these series appears inthe 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
Aircraft (SIC 3721)
Aug.1995
$20.28
20.30
Sept.1995
$20.35
20.38
Aug.1996
$20.65
20.93
Sept.1996P
$20.76
21.03
Guided missiles and space vehicles (SIC 3761)
Aug.1995
$18.72
18.75
Sept.1995
$18.92
18.96
Aug.1996
$19.48
19.48
Sept.1996P
$19.56
19.56
= preliminary.
112
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hourly earnings, excluding overtime,1 of production workers on manufacturing payrolls
Industry Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Manufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsIndustrial machinery and equipmentElectronic and other electrical equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goodsFood and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
$11.78
12.319.749.53
11.6913.7311.5112.5711.1915.8412.289.71
11.0510.2716.879.027.51
13.4511.9314.8618.0710.448.00
$11.78
12.279.759.55
11.7113.6911.5112.6011.1915.6912.279.71
11.1010.2917.099.027.53
13.4511.9214.9418.2710.478.00
$12.11
12.649.989.76
12.0114.0011.8112.9111.6816.1912.629.98
11.3510.5119.119.197.71
13.7812.1615.3717.5910.668.40
$12.17
12.7210.009.83
12.0714.1011.9013.0011.7116.2612.6610.08
11.3810.4917.579.247.77
13.7912.2415.3618.0010.718.46
$12.16
12.67
()(*)2
$11.42
1 Derived by assuming that overtime hours are paid at the rateof time and one-half.
2 Not available.p = preliminary.
NOTE: Establishment survey estimates are currently projectedfrom March 1995 benchmark levels. When more recent benchmarkdata are introduced, all unadjusted data from April 1995 forward aresubject to revision.
113
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATAEARNINGSNOT SEASONALLY ADJUSTED
B-17. Average hourly and weekly earnings of production or nonsupervisory workers1 on privatenonfarm payrolls by major industry, in current and constant (1982) dollars
Industry
Average hourly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Average weekly earnings
Sept.1995
Oct.1995
Aug.1996
Sept.1996P
Oct.1996P
Total private:Current dollarsConstant (1982) dollars
Mining:Current dollarsConstant (1982) dollars
Construction:Current dollarsConstant (1982) dollars
Manufacturing:Current dollarsConstant (1982) dollars
Transportation and public utilities:Current dollarsConstant (1982) dollars
Wholesale trade:Current dollarsConstant (1982) dollars
Retail trade:Current dollarsConstant (1982) dollars
Finance, insurance, and real estate:Current dollarsConstant (1982) dollars
Services:Current dollarsConstant (1982) dollars
$11.557.43
15.359.88
15.349.87
12.478.02
14.359.23
12.518.05
7.775.00
12.407.98
11.457.37
$11.607.45
15.349.85
15.349.85
12.437.98
14.469.28
12.558.06
7.774.99
12.538.04
11.547.41
$11.777.38
15.519.73
15.559.76
12.798.02
14.559.13
12.828.04
7.954.99
12.727.98
11.647.30
$11.967.47
15.729.82
15.759.84
12.908.06
14.629.13
12.998.11
8.065.03
12.898.05
11.907.43
$11.95
$15.52
$15.74
$12.84
$14.60
$12.89
$8.12
$12.86
$11.92
$399.63257.16
696.89448.45
612.07393.87
523.74337.03
569.70366.60
479.13308.32
224.55144.50
442.68284.86
369.84237.99
$402.52258.36
696.44447.01
615.13394.82
518.33332.69
574.06368.46
483.18310.13
223.78143.63
456.09292.74
376.20241.46
$409.60256.96
702.60440.78
618.89388.26
534.62335.40
583.46366.04
492.29308.84
234.53147.13
454.10284.88
380.63238.79
$417.40260.71
721.55450.69
625.28390.56
545.67340.83
590.65368.93
501.41313.19
234.55146.50
470.49293.87
387.94242.31
$412.28
$713.92
$626.45
$538.00ft
$584.00ft
$493.69
$233.86ft
$455.24ft
$385.02ft
1 Data relate to production workers in mining and manufacturing;construction workers in construction; and nonsupervisory workers intransportation 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 andClerical Workers (CPI-W) is used to deflate the earnings series.Establishment survey estimates are currently projected from March1995 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1995 forward are subject torevision.
114
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected area
State and area
Average weekly hours
Sept.1995
Aug.1996
Sept.1996P
Average hourly earnings
Sept.1995
Aug.1996
Sept.1996P
Average weekly earnings
Sept.1995
Aug.1996
Sept.1996P
AlabamaBirminghamMobile
Alaska
Arizona
ArkansasFayetteville-Springdale-RogersFort SmithLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldFresnoLos Angeles-Long BeachModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-LompocSanta RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenNew London-NorwichStamford-NorwalkWaterbury
DelawareDoverWilmington-Newark
District of Columbia:
Washington PMSA
Florida
GeorgiaAtlantaSavannah
Hawaii
Honolulu
Idaho
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
41.743.143.5
52.6
42.4
41.741.043.841.241.8
41.740.842.742.044.241.842.341.441.640.140.040.541.941.139.545.942.141.0
41.442.5
43.242.845.044.441.043.841.444.4
40.738.841.9
40.5
41.6
42.543.647.6
38.839.3
40.8
41.846.641.141.841.742.341.640.241.740.8
41.942.543.7
51.9
42.7
41.740.042.442.043.9
41.741.342.241.742.442.242.141.440.939.839.840.841.541.239.944.642.141.8
41.442.0
42.542.845.842.541.442.941.643.4
41.040.041.4
39.2
41.4
42.542.348.1
38.539.2
39.9
41.643.941.341.842.742.841.840.442.339.6
41.842.643.6
53.1
42.9
42.141.342.842.042.3
42.041.442.242.142.042.442.341.441.640.739.440.641.841.340.445.243.242.0
42.242.1
43.143.145.043.943.043.541.643.9
41.640.342.3
38.6
41.4
42.942.849.6
39.640.0
39.1
42.043.741.542.042.142.841.340.642.040.1
$11.0512.0513.08
10.79
11.04
10.149.789.95
10.7711.98
12.5413.1310.9411.8812.2815.2012.4811.3113.8013.1612.4413.4915.2312.6614.1112.7714.8012.15
12.5712.83
13.6914.1013.4513.9912.9314.5113.7112.70
14.0812.4316.53
13.71
10.27
10.8112.0914.04
12.8713.30
11.65
12.6717.6010.6612.6114.4114.9213.6715.3014.3911.75
$11.5912.5713.74
10.45
11.72
10.429.89
10.3811.3012.03
12.8513.6511.0512.0212.5515.6712.9911.5213.8713.3512.8114.0515.7213.0514.6312.8514.5712.28
12.9412.96
14.0714.8514.6114.9513.3914.6913.9112.95
13.9312.5216.93
13.80
10.53
11.1412.0014.00
12.6412.98
11.86
12.9817.3710.8312.9114.8615.8414.1915.9015.1011.77
$11.6112.4313.70
10.77
11.62
10.449.78
10.3211.3912.08
12.8513.7111.1012.0412.4515.5412.9711.6313.7213.2312.8314.1415.6913.3114.4212.8814.1612.37
12.9512.93
14.0314.4514.6714.9013.5714.5114.0213.06
13.5612.7216.66
13.84
10.58
11.1711.9814.07
12.8112.96
11.99
12.9917.9811.0212.9614.8415.8914.1615.9615.0611.95
$455.26495.26574.21
580.50
470.30
416.75404.89421.88448.03494.77
519.16534.39462.76496.58537.86636.88527.90465.97568.56521.14497.60536.90639.66514.00551.70583.59589.04494.51
511.60526.03
581.83592.20603.91594.58522.37628.28555.26562.61
558.96462.40677.73
542.92
428.26
457.26528.33645.84
498.07529.34
460.18
525.81797.28438.13524.58599.46629.62567.31619.65595.75481.75
$482.14535.48590.82
570.57
495.76
430.35397.58428.69472.34512.48
528.14563.75458.58501.23510.79658.14541.68478.08546.48530.00504.71577.46641.38538.97577.89538.42576.97505.94
522.78531.36
592.35619.25647.22635.38557.02616.98566.14554.26
565.56489.53707.67
536.82
427.52
468.99511.20646.80
482.85502.33
474.40
539.97729.54449.45538.35625.61676.37593.14643.95643.26475.51
$486.46528.28
558.96
496.17
435.35391.20437.57478.38530.31
535.85566.22468.42502.07527.88655.79546.04481.48561.15526.55510.63576.91651.14548.37575.36574.45596.14517.07
536.13543.06
596.28618.46671.89633.25561.80622.48583.23566.80
555.96508.80689.72
542.53
438.01
474.73506.75676.77
493.19508.03
478.40
540.38789.32455.13541.73633.67680.09591.89644.78637.04473.22
See footnotes at end of table.
115
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected area — Continued
State and area
Average weekly hours
Sept.1995
Aug.1996
Sept.1996P
Average hourly earnings
Sept.1995
Aug.1996
Sept.
Average weekly earnings
Sept.1995
Aug.1996
Sept.1996P
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDes MoinesDubuqueSioux City
KansasTopekaWichita
KentuckyLexingtonLouisville
LouisianaBaton RougeNew OrleansShreveport-Bossier City
MaineLewiston-AuburnPortland
MarylandBaltimore PMSA
MassachusettsBostonSpringfieldWorcester
MichiganAnn ArborDetroitFlintGrand Rapids-Muskegon-HollandJacksonKalamazoo-Battle CreekLansing East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St. PaulSt. Cloud
MississippiJackson
MissouriKansas CitySt. LouisSpringfield
Montana
NebraskaLincolnOmaha
NevadaLas Vegas
See footnotes at end of table.
42.836.838.742.040.842.142.652.142.443.843.245.1
42.540.942.541.842.3
41.740.742.8
41.343.241.8
43.644.643.943.0
40.438.639.1
41.641.8
42.141.442.142.0
44.844.745.548.241.741.444.646.147.7
42.242.142.641.4
41.641.0
42.043.043.240.7
39.3
41.742.241.8
41.839.3
42.837.439.942.041.341.344.049.344.143.843.043.8
41.941.041.344.139.7
42.141.244.0
41.442.341.3
44.144.143.642.3
39.738.739.1
41.441.9
42.142.242.842.5
44.646.145.747.842.041.043.747.049.0
41.942.541.841.2
41.242.1
41.143.541.840.4
38.8
41.445.540.8
41.038.2
43.437.139.841.841.241.744.450.743.544.643.745.7
42.643.441.143.041.6
42.242.044.7
42.142.542.5
44.843.444.642.6
40.640.640.2
41.942.7
42.242.243.243.0
45.247.846.048.842.742.343.846.848.7
42.443.842.540.5
41.642.6
41.943.742.141.1
39.8
42.145.442.2
41.638.4
$13.9010.6911.6812.9414.0518.2615.3919.1214.5215.2112.7313.43
12.7616.5113.5113.2610.62
12.4414.3813.45
12.2413.4513.92
13.3115.8514.0313.80
12.3810.09
13.4514.03
12.8113.6512.3812.32
16.2016.7717.5621.3713.7812.3714.9917.3118.07
12.7211.7013.7312.24
9.8010.64
12.1013.9014.5910.26
12.76
11.1012.7511.71
12.8614.32
$14.1010.5412.0112.9214.5419.2015.7719.4414.9014.4012.1314.15
13.1515.9013.4214.5210.51
12.8914.0215.00
12.8213.5514.45
13.6916.8714.2013.73
12.9811.2911.24
13.6314.45
13.0213.9912.4412.84
16.9118.0418.7021.5014.5212.3915.1418.1819.39
13.1011.5514.0111.86
10.1511.20
12.6714.4914.7710.71
12.84
11.6013.3813.14
13.9814.44
$14.2610.9312.0213.0514.4919.1715.9119.5314.8514.4112.4214.21
13.0115.6413.3914.2710.27
13.0514.0715.17
12.7913.5114.07
13.7316.2814.4113.91
12.7611.3911.12
13.7714.64
13.0214.0312.4412.73
16.5217.3818.2221.5714.3512.6215.7618.7619.45
13.1411.4014.0512.10
10.1611.54
12.5614.4914.5910.63
12.94
11.5813.4312.86
13.5013.77
$590.75392.32452.02544.77560.60754.14652.54950.26631.62658.59546.12604.35
530.82655.45545.80570.18418.43
513.77585.27566.25
500.62566.25581.86
577.65692.65636.96583.74
486.53383.42424.93
558.18585.05
535.46559.65511.29516.21
712.80746.26784.93
1019.35574.63512.12640.07758.18847.48
529.15485.55572.54514.08
401.80428.79
496.10587.97611.32420.66
505.30
457.32532.95496.50
525.97569.94
$596.43395.25475.60536.18604.86798.72692.30
1096.42661.56629.28509.46628.26
550.99677.34564.98604.03406.74
537.51583.23655.50
523.06560.97588.12
590.04732.16609.18558.81
503.62449.34412.51
561.56598.23
541.63577.79508.80531.58
723.75788.35813.45
1021.25598.22496.84647.99794.47928.78
535.79483.95573.01483.89
417.17478.24
513.14614.38617.39434.83
494.34
473.28606.11532.17
564.79567.49
$610.33408.78479.60548.10598.44791.72700.04962.83654.89631.16534.06622.40
545.12641.24553.01629.31407.72
549.41579.68667.48
529.51571.47581.09
605.49717.95628.28588.39
506.57440.79434.79
570.08613.42
548.14592.07532.43541.03
736.79801.22832.651031.05602.70517.42688.71881.72953.05
550.57484.50587.29498.52
418.59485.83
516.22630.32609.86429.45
502.07
479.41611.07524.69
553.50526.01
116
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected area — Continued
State and area
Average weekly hours
Sept.1995
Aug.1996
Sept.1996P
Average hourly earnings
Sept.1995
Aug.1996
Sept.1996P
Average weekly earnings
Sept.1995
Aug.1996
Sept.
New HampshireManchesterNashuaPortsmouth-Rochester
New Jersey
New MexicoAlbuquerque
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsDutchess CountyElmiraNassau-SuffolkNew York PMSANew York CityNewburghRochesterRockland CountySyracuseUtica-RomeWestchester County
North CarolinaAshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High PointRaleigh-Durham-Chapel Hill
North DakotaFargo-Moorhead
OhioAkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldHamilton-MiddletownLimaMansfieldSteubenville-WeirtonToledoYoungstown-Warren
OklahomaOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlem-EastonAltoonaErieHarrlsburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPittsburghReadingScranton-Wilkes-Barre-HazletonSharonState CollegeWilliamsportYork
See footnotes at end of table.
41.642.940.439.8
42.0
40.641.2
41.541.242.544.240.643.639.438.738.340.943.744.343.540.740.7
41.141.340.840.441.5
40.941.4
43.943.141.143.843.842.945.145.344.043.642.946.543.9
42.643.142.0
40.341.140.541.338.7
41.741.341.343.740.539.140.641.342.842.240.443.340.940.742.2
41.740.641.739.8
41.5
40.540.3
41.041.041.343.036.942.639.639.239.041.043.343.643.239.540.0
41.141.041.340.242.3
42.842.8
43.342.041.443.342.842.145.145.242.643.642.844.343.6
41.843.442.4
40.340.040.640.037.8
41.541.139.943.540.239.540.441.142.642.040.643.941.342.641.4
42.541.341.741.6
42.0
40.940.7
41.541.642.544.437.742.340.438.638.240.644.643.744.139.941.0
40.941.341.240.041.4
42.743.4
44.042.141.543.843.542.345.546.243.544.143.245.444.1
41.443.742.6
40.939.840.941.539.0
42.041.740.645.040.439.540.641.443.142.340.944.842.241.641.9
$11.9811.9614.8312.10
13.41
10.6611.04
12.4614.1010.2415.9011.1811.5711.5611.2810.9910.4714.0414.6913.3811.0912.33
10.5810.0911.3111.0311.32
10.7510.35
14.3111.8613.0013.8714.0813.2715.8116.0715.7014.8016.3916.0615.84
11.5511.9812.26
12.6712.6012.3212.9010.40
12.8412.5410.7813.0512.369.65
12.6414.0013.9113.5911.5813.8211.0410.7812.74
$12.3312.9914.9212.05
13.97
11.3711.79
12.7214.0410.3016.0611.4511.8811.7911.5111.2811.2114.2814.9213.8411.6812.19
10.9610.5011.7511.3011.93
10.9010.78
14.7112.3313.0314.1914.6813.7715.8016.3315.3815.3517.2516.6015.54
12.0213.2512.95
13.0013.3112.1913.2511.66
13.2912.7911.4714.0212.939.98
12.9114.2114.5813.9611.9613.9311.2310.7513.38
$12.2212.8714.7511.78
13.87
10.7711.77
12.7614.0510.4616.2311.6311.9511.7111.5811.3511.2814.2515.4413.7611.6712.21
11.0010.5611.8711.2711.92
10.9510.92
14.7912.3113.1114.3114.6313.7716.1216.3515.1815.6816.8816.5016.16
11.9613.4012.41
12.9812.9112.1313.2911.40
13.2312.7111.2213.8512.7910.0112.9914.2614.5814.0711.9413.8911.3810.9013.44
$497.17485.58613.96482.79
563.22
425.33458.16
508.37572.46418.82690.06443.85482.47452.00436.54419.82428.22606.53641.95560.62434.73504.30
430.61414.70461.45442.30470.91
432.15428.49
618.19512.35531.70597.80609.66562.65701.96726.36698.65634.92703.13716.28685.87
478.17495.97507.56
514.40511.56501.42527.61424.32
530.29514.14446.29555.93494.40377.32506.86569.80591.18580.29468,18590.11462.58437.67536.35
$495.67506.61590.83424.16
574.17
446.84471.60
512.62564.41424.36669.70430.52490.64456.27441.98429.77449.52595.48640.07588.20459.02491.26
437.30425.25468.83448.61498.67
462.16446.29
619.29510.46515.99604.49615.09570.08680.98741.38641.35638.56722.78745.34654.23
495.22568.43537.43
514.80504.45486.38516.75451.24
548.88520.55454.21615.48500.39398.20511.24582.61619.65587.72476.01603.17467.17448.28561.96
$509.57522.52615.08468.84
575.61
436.19474.33
523.16576.05432.00697.89429.15509.07463.72453.94442.65462.48617.03673.18594.43460.97488.40
452.10432.96490.23453.05504.22
468.66467.38
640.41517.02542.75619.62626.16579.72727.01739.02646.67683.65722.46730.95704.58
499.93581.56526.18
523.09516.40492.48531.60430.92
549.05522.38447.68602.48514.16395.40524.80586.09621.11590.94484.76609.77469.99464.34556.42
117
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected area — Continued
Average weekly hours
State and area Sept.1995
Aug.1996
Sept.1996P
Average hourly earnings
Sept.1995
Aug.1996
Sept.1996P
Average weekly earnings
Sept.1995
Aug.1996
Sept.1996P
Rhode Island
Providence-Fall River-Warwick
South Carolina
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
TexasDallasFt. Worth-ArlingtonHoustonSan Antonio
UtahSalt Lake City-Ogden
VermontBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorthern VirginiaRichmond-PetersburgRoanoke
Washington
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLaCrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
Wyoming
Puerto Rico
Virgin Islands
41.541.1
41.9
41.740.342.4
40.439.438.839.540.340.8
43.244.143.244.741.9
40.040.3
41.742.2
42.041.343.043.638.141.242.742.2
41.0
41.846.742.542.540.3
42.743.748.243.847.741.940.341.442.540.042.746.1
40.3
37.7
39.1
39.139.9
42.0
41.540.341.7
40.741.240.939.642.841.3
43.344.243.544.441.3
40.640.4
39.241.4
42.643.143.341.340.340.144.341.0
40.6
41.546.541.641.640.0
42.243.944.441.846.140.840.241.041.841.042.343.6
40.6
40.2
40.9
40.841.2
42.0
41.540.241.5
40.941.840.639.842.042.2
43.344.242.644.942.0
41.241.0
40.743.6
42.743.341.843.140.340.343.240.3
41.5
41.847.743.543.541.8
42.944.245.042.946.740.440.142.442.141.944.744.6
40.8
30.6
38.7
$10.6310.64
10.16
9.499.609.92
10.8310.6911.2710.8111.0911.44
11.5211.1912.4013.949.52
11.5611.88
12.2712.80
11.849.99
10.0211.1211.4312.3915.2212.95
13.48
12.5213.9814.1514.1514.81
12.6613.7412.7913.4416.8113.6911.0612.1213.9312.8812.4712.20
12.33
7.46
15.54
$11.0411.10
10.28
9.559.539.95
11.3110.7212.0810.9211.8711.91
11.8411.7612.3413.919.62
12.2412.28
12.3812.97
12.1710.1910.0411.3911.6312.2215.8912.87
14.79
13.0014.0614.3214.3216.45
13.0714.0112.8614.0417.0212.9710.7612.5914.1613.3212.8613.02
13.40
7.74
16.98
$11.0911.26
10.30
9.609.569.98
11.3210.8711.8510.9011.4712.00
11.8411.7212.4713.849.57
12.3112.25
12.5412.71
12.2410.5610.0111.1711.5712.4016.1412.97
14.62
12.8914.0914.2814.2816.19
13.1314.2612.7813.6617.1014.2910.8712.2314.2413.8612.8212.82
12.98
7.78
16.84
$429.45429.86
424.69
390.04381.12405.73
434.28424.39438.40423.75440.27461.03
490.75483.41527.00614.75398.89
457.78478.76
505.52524.80
492.54398.60409.82449.25446.91509.23671.20549.08
552.68
520.83645.88605.62605.62585.00
536.78596.32621.59572.54822.01546.23431.34505.40579.49516.49537.46549.00
485.80
298.40
641.80
$432.77436.23
427.65
395.37384.06415.91
452.40445.95480.78435.71485.48485.93
510.30517.44523.22613.43398.27
484.70483.83
487.77561.60
502.62425.94426.70461.30450.08485.13688.04516.09
593.08
533.00650.98608.60608.60644.84
543.71619.24586.42581.26776.11482.48431.48518.71574.90534.13540.12537.73
522.60
289.48
657.13
$433.62449.27
432.60
398.40385.27416.17
460.72447.84484.67431.64490.92495.60
512.67518.02542.45614.50395.24
499.79494.90
491.57526.19
521.42455.14433.43461.32466.27497.24715.00531.77
593.57
534.94655.19594.05594.05647.60
554.09626.01567.43570.99788.31583.03436.97501.43595.23568.26542.29558.95
526.99
312.76
688.76
1 Not available.P = preliminary.
NOTE: Area definitions are published annually in the May issue of this publication. AllState and area data have been adjusted to March 1995 benchmarks.
118
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATAREGIONS AND DIVISIONSSEASONALLY ADJUSTED
C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1
(Numbers in thousands)
Census region anddivision
1995
Oct. Nov Dec.
1996
Jan. Feb. Mar. Apr. May. June July Aug. Sept. Oct.
NORTHEAST
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
New England
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
Middle Atlantic
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
SOUTH
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
South Atlantic
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
East South Central
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
West South Central
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
39,59725,30123,866
1,4355.7
10,2516,9546,601
3535.1
29,34618,34717,2661,082
5.9
69,76945,85843,296
2,5625.6
36,06723,61722,368
1,2485.3
12,3077,9017,453
4485.7
21,39514,34113,475
8676.0
39,60325,28623,825
1,4625.8
10,2566,9916,669
3224.6
29,34718,29517,1561,139
6.2
69,85745,95943,4262,533
5.5
36,11323,60522,362
1,2445.3
12,3217,9747,533
4425.5
21,42314,37913,531
8485.9
39,60525,24123,706
1,5356.1
10,2596,9656,612
3545.1
29,34618,27617,095
1,1816.5
69,93945,98043,422
2,5585.6
36,15723,60922,350
1,2595.3
12,3357,9617,519
4435.6
21,44714,40913,554
8565.9
39,63125,22823,776
1,4525.8
10,2306,9076,554
3535.1
29,40118,32117,2221,099
6.0
70,10646,09743,589
2,5085.4
36,26223,64222,435
1,2075.1
12,3397,9947,568
4265.3
21,50614,46213,586
8766.1
39,60325,17523,740
1,4355.7
10,2636,8876,542
3455.0
29,34018,28817,199
1,0896.0
70,08846,11643,647
2,4705.4
36,23523,67822,505
1,1735.0
12,3607,9177,450
4685.9
21,49414,52113,692
8295.7
39,60325,48123,874
1,6076.3
10,2656,9336,581
3535.1
29,33818,54817,294
1,2546.8
70,16446,08243,635
2,4485.3
36,27623,70622,512
1,1945.0
12,3717,9327,514
4195.3
21,51714,44413,609
8355.8
39,60925,61424,133
1,4815.8
10,2707,0276,695
3334.7
29,34018,58717,439
1,1486.2
70,25045,97043,5762,394
5.2
36,32223,76822,623
1,1454.8
12,3867,8217,380
4405.6
21,54314,38213,573
8095.6
39,61525,82124,269
1,5516.0
10,2737,0936,714
3805.4
29,34218,72717,556
1,1726.3
70,33746,13943,6422,497
5.4
36,36923,99622,762
1,2345.1
12,4007,7727,348
4245.5
21,56914,37213,532
8405.8
39,62225,61024,204
1,4065.5
10,2787,0476,698
3484.9
29,34418,56417,5061,058
5.7
70,42546,14343,808
2,3355.1
36,41523,97922,823
1,1574.8
12,4147,8667,487
3784.8
21,59614,29813,498
8005.6
39,62525,66724,222
1,4455.6
10,2806,9126,607
3054.4
29,34518,75517,6151,140
6.1
70,51546,57644,134
2,4415.2
36,46224,14122,905
1,2365.1
12,4298,0767,653
4235.2
21,62414,35913,577
7825.4
39,63925,73224,417
1,3155.1
10,2876,9836,698
2854.1
29,35218,74917,719
1,0305.5
70,60746,38744,103
2,2844.9
36,50924,06522,917
1,1484.8
12,4467,9697,634
3354.2
21,65214,35413,553
8015.6
39,65225,76624,417
1,3495.2
10,2927,0726,736
3364.8
29,35918,69417,681
1,0135.4
70,70846,69244,3402,352
5.0
36,56324,07122,868
1,2035.0
12,4628,0347,651
3834.8
21,68214,58613,821
7655.2
39,66425,73824,359
1,3795.4
10,2987,0326,700
3324.7
29,36618,70617,6591,048
5.6
70,80847,06244,601
2,4615.2
36,61624,20923,034
1,1754.9
12,4798,1517,623
5286.5
21,71414,70113,943
7585.2
119
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATAREGIONS AND DIVISIONSSEASONALLY ADJUSTED
C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1—Continued
(Numbers in thousands)
Census region anddivision
1995
Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May. June July Aug. Sept. Oct,
MIDWEST
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
East North Central
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
West North Central
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
WEST
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
Mountain
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
Pacific
Civilian noninstitutional population2
Civilian labor forceEmployedUnemployedUnemployment rate
46,67232,51131,035
1,4754.5
32,92122,52221,425
1,0974.9
13,7519,9899,610
3783.8
43,10528,95627,053
1,9036.6
11,6808,1307,742
3884.8
31,42520,82619,3121,514
7.3
46,70432,37330,874
1,4994.6
32,94222,39921,265
1,1355.1
13,7629,9749,609
3653.7
43,15729,07926,9902,089
7.2
11,7098,2167,833
3844.7
31,44820,86319,157
1,7068.2
46,73732,37730,872
1,5054.6
32,96322,34821,214
1,1345.1
13,77410,0299,658
3713.7
43,20328,94527,060
1,8856.5
11,7358,1697,788
3814.7
31,46820,77619,272
1,5047.2
46,60432,18730,687
1,5004.7
32,89622,28621,137
1,1495.2
13,7099,9009,550
3513.5
43,29229,13127,138
1,9936.8
11,7558,2147,781
4325.3
31,53820,91719,3561,561
7.5
46,79032,44631,030
1,4154.4
32,99822,47021,424
1,0464.7
13,7939,9769,607
3693.7
43,29129,13727,164
1,9746.8
11,7908,2517,826
4255.1
31,50220,88719,338
1,5497.4
46,81732,65531,240
1,4154.3
33,01522,61821,618
1,0004.4
13,80210,0379,622
4154.1
43,33829,20127,251
1,9516.7
11,8188,1407,747
3924.8
31,52021,06219,503
1,5587.4
46,85232,73931,290
1,4494.4
33,03922,69321,673
1,0204.5
13,81410,0469,617
4294.3
43,38928,90226,990
1,9136.6
11,8478,1057,726
3784.7
31,54220,79819,2631,534
7.4
46,88732,75331,266
1,4864.5
33,06122,68421,595
1,0894.8
13,82610,0699,671
3973.9
43,44029,16927,253
1,9166.6
11,8758,2227,763
4585.6
31,56520,94719,489
1,4587.0
46,92132,80931,302
1,5074.6
33,08422,71021,610
1,1014.8
13,83710,0999,692
4074.0
43,49129,18227,367
1,8156.2
11,9048,1817,760
4215.1
31,58721,00019,606
1,3946.6
46,95832,90631,338
1,5684.8
33,10722,73021,635
1,0944.8
13,85110,1769,703
4734.7
43,54329,12027,234
1,8866.5
11,9328,1317,680
4515.5
31,61120,98919,5541,435
6.8
46,99932,65831,226
1,4324.4
33,13422,55921,535
1,0244.5
13,86510,0989,691
4084.0
43,60229,09727,261
1,8366.3
11,9658,1827,721
4615.6
31,63720,91519,5401,375
6.6
47,04032,69431,237
1,4574.5
33,16222,55121,469
1,0824.8
13,87710,1429,768
3753.7
43,66129,31027,475
1,8356.3
11,9958,2057,769
4365.3
31,66621,10519,7071,398
6.6
47,08332,73931,320
1,4194.3
33,19022,61621,598
1,0184.5
13,89310,1239,722
4014.0
43,71929,26327,432
1,8316.3
12,0268,1787,765
4135.1
31,69321,08419,667
1,4176.7
These estimates may differ from the results obtained from summing theofficial State estimates produced and published through the Local AreaUnemployment Statistics (LAUS) program.
;; 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, andTennessee; West South Central: Arkansas, Louisiana, Oklahoma, and Texas;East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin; WestNorth 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.
120
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted
(Numbers in thousands)
State1995
Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept.?
Alabama
Civilian labor forceEmployedUnemployedUnemployment rate
Alaska
Civilian labor forceEmployedUnemployedUnemployment rate
Arizona
Civilian labor forceEmployedUnemployedUnemployment rate
Arkansas
Civilian labor forceEmployedUnemployedUnemployment rate
California
Civilian labor forceEmployedUnemployedUnemployment rate
Colorado
Civilian labor forceEmployedUnemployedUnemployment rate
Connecticut
Civilian labor forceEmployedUnemployedUnemployment rate
Delaware
Civilian labor forceEmployedUnemployedUnemployment rate
District of Columbia
Civilian labor forceEmployedUnemployedUnemployment rate
Flor
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
2,067.71,933.9
133.86.5
301.3279.122.17.3
2,146.72,041.5
105.24.9
1,227.01,166.4
60.64.9
15,438.314,234.11,204.2
7.8
2,096.62,006.7
89.94.3
1,707.11,611.7
95.45.6
381.5364.2
17.34.5
280.3254.6
25.89.2
6,852.76,478.7
374.05.5
2,069.41,935.6
133.96.5
302.2280.0
22.27.4
2,149.32,047.1
102.24.8
1,226.71,167.5
59.24.8
15,451.414,240.3
1,211.07.8
2,104.02,014.3
89.74.3
1,707.61,612.2
95.45.6
381.7364.0
17.74.6
281.5256.0
25.59.0
6,858.36,480.3
378.15.5
2,070.01,938.7
131.36.3
304.3281.3
23.07.6
2,155.82,055.6
100.14.6
1,228.11,169.3
58.84.8
15,465.514,232.31,233.2
8.0
2,117.22,027.9
89.34.2
1,707.01,611.1
95.85.6
382.2363.8
18.34.8
279.9255.0
24.88.9
6,868.56,495.1
373.45.4
2,070.6 2,082.61,939.7
130.96.3
305.4281.4
24.07.8
2,155.52,057.4
98.14.6
1.229.81,171.2
58.64.8
15,461.214,251.51,209.7
7.8
2,120.42,032.6
87.84.1
1,704.71,609.4
95.25.6
381.9363.6
18.34.8
280.2255.324.98.9
6,882.56,509.7
372.85.4
1,985.497.34.7
309.1285.3
23.87.7
2,150.22,046.4
103.84.8
1,238.41,177.0
61.45.0
15,488.514,307.21,181.3
7.6
2,125.72,052.6
73.13.4
1,746.11,653.2
93.05.3
383.5365.3
18.24.7
280.8257.423.48.3
6,991.86,597.6
394.15.6
2,071.51,968.6
102.95.0
311.0287.6
23.37.5
2,157.52,051.4
106.14.9
1,236.71,176.4
60.34.9
15,495.814,306.31,189.5
7.7
2,149.92,070.3
79.53.7
1,747.31,657.6
89.75.1
383.8368.0
15.74.1
282.4259.423.08.1
6,974.36,580.2
394.15.7
2,062.31,955.0
107.35.2
313.7289.0
24.77.9
2,149.32,044.0
105.34.9
1,234.21,173.2
61.04.9
15,503.914,314.11,189.7
7.7
2,161.62,078.1
83.53.9
1,744.21,655.2
89.05.1
383.9366.5
17.44.5
277.4253.0
24.38.8
6,982.36,605.8
376.55.4
2,054.61,941.8
112.85.5
311.8289.4
22.47.2
2,141.62,041.7
4.7
1,230.01,173.2
56.84.6
15,435.914,276.31,159.6
7.5
2,146.12,063.7
82.43.8
1,748.91,662.6
86.34.9
384.9366.9
18.14.7
267.0244.622.48.4
6,988.16,618.4
369.75.3
2,047.71,933.3
114.45.6
307.9286.9
21.06.8
2,149.52,038.7
110.85.2
1,231.41,174.0
57.34.7
15,440.714,309.61,131.1
7.3
2,159.72,071.7
88.04.1
1,742.81,658.8
84.04.8
380.4362.3
18.14.8
269.4245.2
24.29.0
6,989.56,620.0
5.3
2,049.91,954.1
95.74.7
310.0286.723.37.5
2,152.72,039.3
113.45.3
1,240.61,178.1
62.55.0
15,439.314,330.21,109.0
7.2
2,150.52,061.8
88.74.1
1,739.41,656.3
83.14.8
383.4365.5
17.94.7
263.1241.821.38.1
6,977.66,627.3
350.45.0
2,087.51,986.7
100.84.8
310.8287.2
23.77.6
2,147.82,035.8
112.05.2
1,243.61,177.2
66.45.3
15,467.114,354.21,112.8
7.2
2,111.02,022.9
88.14.2
1,731.81,650.0
81.94.7
384.3364.5
19.85.1
266.5242.6
23.99.0
6,999.76,633.3
366.45.2
2,090.41,996.3
94.14.5
312.6289.7
22.97.3
2,157.92,041.8
116.05.4
1,245.31,179.6
65.65.3
15,523.014,420.61,102.4
7.1
2,089.62,004.8
84.84.1
1,733.61,652.7
81.04.7
383.2362.9
20.45.3
263.2239.2
24.09.1
7,007.46,648.0
359.55.1
2,090.71,992.4
98.34.7
312.3289.5
22.77.3
2,161.82,041.9
119.95.5
1,248.91,182.8
66.25.3
15,583.214,488.81,094.4
7.0
2,084.41,999.0
85.44.1
1,745.51,660.7
84.94.9
382.6362.6
19.95.2
267.4244.223.1
7,016.16,644.2
371.95.3
121
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State
Georgia
Civilian labor forceEmployedUnemployedUnemployment rate ...
Haw
Civilian labor forceEmployedUnemployedUnemployment rate
Idaho
Civilian labor forceEmployedUnemployedUnemployment rate
Illinois
Civilian labor forceEmployedUnemployedUnemployment rate
Indiana
Civilian labor forceEmployedUnemployedUnemployment rate
Iowa
Civilian labor forceEmployedUnemployedUnemployment rate
Kansas
Civilian labor forceEmployedUnemployedUnemployment rate
Kentucky
Civilian labor forceEmployedUnemployedUnemployment rate
Louisiana
Civilian labor forceEmployedUnemployedUnemployment rate
Maine
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
1995
Sept.
3,633.23,452.9
180.25.0
578.8544.134.76.0
599.0566.832.25.4
6,089.45,774.0
315.45.2
3,138.52,995.3
143.24.6
1,557.71,503.7
54.13.5
1,330.31,272.8
57.54.3
1,854.61,752.3
102.35.5
1,959.41,830.1
129.46.6
651.9614.6
37.35.7
Oct.
3,640.93,461.9
179.04.9
579.3544.734.66.0
600.7568.5
32.25.4
6,111.05,794.1
316.95.2
3,144.12,998.3
145.84.6
1,568.91,514.7
54.23.5
1,333.01,276.3
56.74.3
1,855.91,753.8
102.15.5
1,958.01,829.8
128.26.5
652.4616.436.15.5
Nov.
3,646.93,469.9
177.04.9
578.6544.9
33.75.8
604.7570.634.2
5.7
6,108.55,792.2
316.45.2
3,128.92,981.0
147.94.7
1,564.31,508.9
55.43.5
1,334.51,278.5
56.14.2
1,858.31,755.4
102.95.5
1,960.21,832.8
127.46.5
653.8618.4
35.45.4
Dec.
3,645.33,470.6
174.74.8
579.6545.234.45.9
604.7571.832.95.4
6,109.85,786.9
322.95.3
3,120.72,977.5
143.24.6
1,559.61,505.9
53.73.4
1,333.21,278.3
54.94.1
1,856.31,755.5
100.85.4
1,961.91,834.1
127.96.5
654.0619.4
34.55.3
1996
Jan.
3,722.83,540.6
182.2
584.9550.8
34.05.8
610.9580.4
30.65.0
6,141.85,811.4
330.45.4
3,102.52,962.7
139.84.5
1,559.01,506.3
52.73.4
1,357.71,306.4
51.33.8
1,871.71,769.2
102.55.5
1,982.81,851.9
130.96.6
648.9615.933.0
5.1
Feb.
3,722.23,555.3
166.94.5
585.9551.534.4
5.9
617.2587.230.04.9
6,148.35,832.0
316.35.1
3,131.82,992.5
139.44.5
1,591.71,535.4
56.33.5
1,357.21,307.0
50.23.7
1,853.51,758.6
94.85.1
1,975.91,844.5
131.56.7
651.5618.1
33.35.1
Mar.
3,728.23,558.7
169.54.5
587.1552.734.4
5.9
616.8585.431.4
5.1
6,150.95,837.8
313.05.1
3,113.92,981.5
132.44.3
1,595.21,541.8
53.43.3
1,354.11,303.3
50.83.8
1,837.81,744.0
93.85.1
1,986.91,863.1
123.86.2
656.1622.7
33.45.1
Apr.
3,737.93,564.7
173.24.6
588.8554.5
34.35.8
614.4583.830.6
5.0
6,140.65,825.1
315.55.1
3,103.82,973.7
130.24.2
1,610.31,554.6
55.63.5
1,356.91,302.3
54.64.0
1,828.61,733.1
95.65.2
1,986.01,861.4
124.66.3
657.0622.6
34.45.2
May
3,744.53,570.9
173.64.6
590.5554.935.56.0
612.8582.030.9
5.0
6,149.85,828.8
321.05.2
3,092.42,964.7
127.74.1
1,623.61,566.9
56.63.5
1,352.31,296.6
55.74.1
1,827.71,734.0
93.85.1
1,982.41,850.3
132.26.7
655.2618.7
36.55.6
June
3,747.33,582.6
164.74.4
592.7556.036.76.2
609.6578.231.4
5.2
6,157.45,829.9
327.55.3
3,092.62.959.4
133.24.3
1,605.41,555.9
49.53.1
1,348.91,296.0
52.83.9
1,830.71,735.8
94.95.2
1,980.01,847.4
132.66.7
658.1622.2
36.05.5
July
3,785.83,621.4
164.44.3
590.3555.135.26.0
609.7580.229.54.8
6,161.95,831.1
330.85.4
3,104.62,976.8
127.84.1
1,595.11,542.1
53.03.3
1,355.81,301.2
54.74.0
1,862.81,770.1
92.65.0
2,003.61,867.3
136.46.8
660.4623.7
36.75.6
Aug.
3,775.63,607.7
167.84.4
590.3554.735.6
6.0
618.0587.2
30.85.0
6,160.85,829.9
330.95.4
3,093.12,965.7
127.44.1
1,600.11,551.5
48.63.0
1,359.21,302.9
56.34.1
1,854.21,770.4
83.84.5
1,992.71,856.8
135.96.8
667.0630.636.45.5
Sept.P
3,788.93,622.5
166.54.4
592.4560.432.05.4
623.8592.331.6
5.1
6,140.05,819.7
320.35.2
3,083.02,952.8
130.24.2
1,603.31,554.0
49.33.1
1,360.81,306.1
54.84.0
1,869.21,782.2
87.04.7
2,024.91,884.8
140.16.9
671.6637.334.35.1
122
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State1995
Sept. Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Maryland
Civilian labor forceEmployedUnemployedUnemployment rate
Massachusetts
Civilian labor forceEmployedUnemployedUnemployment rate
Michigan
Civilian labor forceEmployedUnemployedUnemployment rate
Minnesota
Civilian labor forceEmployedUnemployedUnemployment rate
Mississippi
Civilian labor forceEmployedUnemployedUnemployment rate
Missouri
Civilian labor forceEmployedUnemployedUnemployment rate
Montana
Civilian labor forceEmployedUnemployedUnemployment rate
Nebraska
Civilian labor forceEmployedUnemployedUnemployment rate
Nevada
Civilian labor forceEmployedUnemployedUnemployment rate
New Hampshire
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
2,726.92.585.9
141.05.2
3,167.92,998.9
169.05.3
4,719.04,471.6
247.35.2
2,595.42,499.6
95.83.7
1.263.11,181.5
81.66.5
2,850.62,716.4
134.24.7
434.3407.926.46.1
901.6877.923.72.6
809.1766.742.45.2
633.6607.725.9
4.1
2,726.82,585.6
141.25.2
3,173.73,004.9
168.85.3
4,731.44,487.7
243.75.2
2,587.42,490.4
97.03.7
1,265.41,187.5
77.86.2
2,846.22,724.5
121.74.3
435.7409.126.6
6.1
904.7880.324.4
2.7
811.7770.041.6
5.1
633.0609.123.93.8
2,724.12,583.1
141.05.2
3,174.13,006.5
167.65.3
4,735.54,489.8
245.75.2
2,593.32,494.9
98.43.8
1,263.71,185.7
78.06.2
2,849.52,730.3
119.24.2
436.6409.627.06.2
903.3879.124.22.7
814.6772.442.2
5.2
632.4609.822.63.6
2,719.22,580.9
138.35.1
3,170.93,004.4
166.55.2
4,746.14,503.5
242.65.1
2,598.92,499.9
99.03.8
1,258.61,182.5
76.26.1
2,855.62,736.9
118.74.2
438.8412.0
26.86.1
903.8879.124.72.7
815.5773.941.6
5.1
632.2610.222.03.5
2,719.82,580.9
138.85.1
3,184.53,022.1
162.45.1
4,825.84,587.5
238.34.9
2,607.22,524.8
82.43.2
1,262.21,180.9
81.46.4
2,798.92,701.1
97.73.5
445.8420.1
25.75.8
906.6882.9
23.72.6
827.3784.942.45.1
629.4608.720.73.3
2,728.32,597.9
130.54.8
3,187.73,028.8
158.95.0
4,820.14,586.9
233.24.8
2,591.82,510.8
80.93.1
1,260.61,181.4
79.26.3
2,816.92,714.4
102.53.6
448.6423.225.3
5.6
905.6879.725.9
2.9
834.0792.041.9
5.0
631.0608.522.5
3.6
2,720.32,586.7
133.64.9
3,182.33,028.8
153.54.8
4,809.74,587.5
222.34.6
2,601.32,511.3
90.03.5
1,259.01,184.3
74.75.9
2,831.92,720.8
111.13.9
445.9422.6
23.35.2
900.3876.1
24.22.7
835.3796.139.24.7
631.4608.4
23.03.6
2,710.92,575.5
135.55.0
3,186.23,028.5
157.74.9
4,812.44,590.1
222.34.6
2,624.42,527.9
96.53.7
1,274.81,194.5
80.46.3
2,833.52,711.5
122.04.3
446.6421.025.65.7
903.5877.7
25.82.9
835.1793.341.8
5.0
629.5607.1
22.43.6
2,744.52,607.4
137.05.0
3,189.33,033.8
155.54.9
4,835.54,610.1
225.44.7
2,620.12,529.4
90.73.5
1,273.51,193.0
80.56.3
2,850.42,728.3
122.14.3
447.6422.724.95.6
903.5876.5
27.03.0
838.7793.345.4
5.4
628.2603.324.94.0
2,762.52,630.0
132.54.8
3,187.13,034.9
152.24.8
4,841.04,621.1
219.94.5
2,615.02,519.4
95.73.7
1,250.91,179.8
71.05.7
2,857.12,737.7
119.44.2
449.4425.6
23.85.3
904.2877.3
26.93.0
839.3799.539.84.7
625.8600.0
25.74.1
2,769.32,634.5
134.84.9
3,176.43,034.4
142.04.5
4,832.04,600.3
231.74.8
2,637.62,537.8
99.83.8
1,268.91,192.3
76.56.0
2,856.42,729.8
126.54.4
448.6424.4
24.25.4
907.1880.8
26.32.9
840.5799.940.6
4.8
628.8604.224.63.9
2,784.22,651.5
132.74.8
3,166.03,039.3
126.84.0
4,828.64,611.8
216.84.5
2,645.42,543.3
102.13.9
1,262.71,185.0
77.76.2
2,841.92,731.4
110.53.9
449.3424.4
24.85.5
904.6880.9
23.72.6
845.4801.843.7
5.2
625.2601.723.63.8
2,803.82,667.7
136.04.9
3,175.03,041.8
133.24.2
4,860.84,634.5
226.34.7
2,634.72,533.1
101.63.9
1,257.81,194.1
63.85.1
2,859.12,748.9
110.33.9
453.5428.8
24.75.4
909.4887.422.0
2.4
857.0811.0
46.05.4
631.8604.427.44.3
123
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State1995
Sept. Oct. Nov. Dec.
1996
Jan. Feb. Mar. Apr. May June July Aug. Sept.p
New Jersey
Civilian labor forceEmployedUnemployedUnemployment rate .
New Mexico
Civilian labor forceEmployedUnemployedUnemployment rate .
New York
Civilian labor forceEmployedUnemployedUnemployment rate ...
North Carolina
Civilian labor forceEmployedUnemployedUnemployment rate .
North Dakota
Civilian labor forceEmployedUnemployedUnemployment rate
Ohio
Civilian labor forceEmployedUnemployedUnemployment raie .
Oklahoma
Civilian labor forceEmployedUnemployedUnemployment rate .
Oregon
Civilian labor forceEmployedUnemployedUnemployment rate .
Pennsylvania
Civilian labor forceEmployedUnemployedUnemployment rate .
Rhode Island
Civilian labor forceEmployedUnemployedUnemployment rate.
4,074.13,811.8
262.26.4
789.1738.9
50.26.4
8,482.67,937.9
544.66.4
3,645.13,483.1
162.04.4
333.9323.1
10.83.2
5,608.55,331.9
276.64.9
1,546.91,475.6
71.34.6
1,649.01,567.3
81.85.0
5,838.35,493.0
345.35.9
483.6449.4
34.27.1
4,079.43,816.8
262.66.4
792.4741.4
51.06.4
8,475.47,939.1
536.36.3
3,649.93,490.4
159.54.4
334.1323.7
10.43.1
5,613.55,337.8
275.74.9
1,547.21,477.0
70.24.5
1,650.91,567.8
83.15.0
5,842.75,499.6
343.15.9
483.2449.8
33.46.9
4,082.63,817.2
265.36.5
795.9744.251.6
6.5
8,475.57,942.1
533.46.3
3,653.63,490.8
162.84.5
335.2324.6
10.63.2
5,639.85,348.2
291.65.2
1,549.11,479.9
69.24.5
1,653.41,570.3
83.15.0
5,852.45,498.4
354.06.0
482.8449.8
33.06.8
4,080.43,816.7
263.86.5
798.3746.6
51.76.5
8,477.47,942.9
534.56.3
3,662.13,494.2
167.94.6
335.0324.5
10.53.1
5,638.35.354.5
283.85.0
1,548.41,481.2
67.24.3
1,656.01,575.1
80.94.9
5,843.05,495.0
348.06.0
483.1449.8
33.36.9
4,063.13,802.4
260.76.4
812.2759.8
52.46.5
8,542.78,013.3
529.56.2
3,691.43,507.2
184.25.0
343.2332.6
10.63.1
5,727.55,425.3
302.25.3
1,561.91,488.6
73.34.7
1,682.61,600.4
82.24.9
5,844.05,482.6
361.36.2
489.2458.3
30.96.3
4,072.13,810.7
261.46.4
812.7759.253.5
8,530.68,022.2
508.56.0
3,706.73,542.9
163.84.4
345.0334.7
10.33.0
5,716.95,431.1
285.85.0
1,560.71,486.6
74.14.7
1,706.51,622.9
83.64.9
5,844.25,520.1
324.15.5
487.8458.9
28.85.9
4,075.33,813.0
262.36.4
811.0756.9
54.16.7
8,580.28,023.7
556.56.5
3,713.03,550.2
162.94.4
343.8333.8
10.02.9
5,715.55,426.2
289.35.1
1,559.11,489.5
69.64.5
1,736.41,648.1
88.35.1
5,870.85,540.6
330.25.6
488.2463.2
25.05.1
4,085.63,815.3
270.36.6
810.0755.4
54.66.7
8,577.78,030.7
547.06.4
3,717.83,553.2
164.64.4
341.2330.0
11.13.3
5,697.65,437.8
259.84.6
1,562.21,492.2
70.14.5
1,733.01,640.3
92.75.3
5,870.55,536.6
333.95.7
488.3463.125.15.1
4,075.73,826.1
249.6
810.4755.3
55.26.8
8,591.68,045.0
546.76.4
3,717.53,557.9
159.64.3
341.7331.1
10.63.1
5,717.55,437.1
280.34.9
1,575.01,506.6
68.44.3
1,746.41,656.0
90.55.2
5,889.85,544.2
345.65.9
487.8465.2
22.64.6
4,081.53,830.0
251.56.2
815.2758.4
56.87.0
8,570.28,029.1
541.16.3
3,703.93,548.4
155.54.2
341.8331.2
10.63.1
5,728.85,446.2
282.64.9
1,592.11,523.9
68.24.3
1,726.71,639.4
87.35.1
5,896.25,593.1
303.15.1
490.0466.6
23.44.8
4,085.93,837.0
248.96.1
818.3760.5
57.87.1
8,595.28,036.8
558.56.5
3,718.43,559.7
158.74.3
340.1330.6
9.52.8
5,718.15,444.5
273.64.8
1,586.91,518.3
68.64.3
1,719.51,627.9
91.65.3
5,906.05,601.7
304.25.2
488.9465.4
23.54.8
4,095.03,844.6
250.46.1
819.7761.5
58.27.1
8,580.58,056.0
524.56.1
3,718.73,565.2
153.54.1
339.6330.5
9.12.7
5,725.25,461.3
263.84.6
1,580.91,512.1
68.94.4
1,707.11,615.3
91.85.4
5,898.95.586.5
312.45.3
492.9467.2
25.75.2
4,098.83,843.5
255.46.2
815.9758.2
57.77.1
8,584.48,075.5
509.05.9
3,720.73,564.7
156.14.2
341.3331.7
9.62.8
5,733.55,457.6
275.84.8
1,585.81,517.7
68.14.3
1,725.81,638.9
86.95.0
5,875.05,580.8
294.25.0
492.7467.725.05.1
See footnotes at end of table.
124
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State1995
Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr.
1996
-. | May July Aug. Sept.p
South Carolina
Civilian labor forceEmployedUnemployedUnemployment rate
South Dakota
Civilian labor forceEmployedUnemployedUnemployment rate
Tennessee
Civilian labor forceEmployedUnemployedUnemployment rate
Texas
Civilian labor forceEmployedUnemployedUnemployment rate
Utah
Civilian labor forceEmployedUnemployedUnemployment rate
Vermont
Civilian labor forceEmployedUnemployedUnemployment rate
Virginia
Civilian labor forceEmployedUnemployedUnemployment rate
Washington
Civilian labor forceEmployedUnemployedUnemployment rate
West Virginia
Civilian labor forceEmployedUnemployedUnemployment rate
Wisconsin
Civilian labor forceEmployedUnemployedUnemployment rate
Wyoming
Civilian labor forceEmployedUnemployedUnemployment rate
1,874.31,778.4
95.85.1
383.3372.2
11.12.9
2,722.72,575.1
147.65.4
9,605.99,022.0
583.96.1
970.8936.7
34.23.5
320.3306.5
13.74.3
3,506.93,347.8
159.14.5
2,818.92,638.5
180.36.4
793.0729.563.5
8.0
2,852.22,747.8
104.53.7
256.5244.3
12.24.7
1,874.71,777.2
97.55.2
383.9372.9
11.12.9
2,728.82,578.5
150.35.5
9,632.79,042.8
589.96.1
972.0938.4
33.63.5
321.3307.7
13.74.3
3,513.43,353.4
160.04.6
2,823.72,643.4
180.36.4
794.1731.562.6
7.9
2,856.12,749.3
106.83.7
256.6244.6
12.04.7
1,872.31,773.6
98.75.3
384.7373.4
11.32.9
2,732.72,581.4
151.45.5
9,662.59,063.1
599.36.2
973.8940.932.9
3.4
322.5308.2
14.34.4
3,520.03,360.7
159.24.5
2,827.82,645.5
182.36.4
796.3731.465.0
8.2
2,858.82,750.8
108.03.8
256.6244.7
11.94.6
1,874.61,775.5
99.15.3
385.2373.9
11.32.9
2,738.32,585.5
152.85.6
9,668.39,079.6
588.86.1
975.0944.430.63.1
322.2308.7
13.54.2
3,517.03,362.6
154.44.4
2,823.72,647.1
176.66.3
792.8732.060.8
7.7
2,858.32,752.1
106.23.7
256.5245.2
11.24.4
1,864.61,763.3
101.25.4
387.1376.2
10.92.8
2,753.72,600.7
153.05.6
9,702.49,106.5
596.06.1
1,006.4975.3
31.13.1
325.3311.7
13.74.2
3,489.43,334.2
155.24.4
2,828.42,661.2
167.25.9
805.3737.567.8
8.4
2,873.22,761.1
112.13.9
256.1245.3
10.84.2
1,850.01,763.3
86.74.7
I388.5 I377.3
11.22.9
2,748.22,599.3
148.85.4
9,727.09,145.2
581.86.0
1,008.0975.932.0
3.2
324.8311.6
13.24.1
1.849.71,759.8
89.84.9
|i
1,866.0 | 1,861.31,762.9 | 1,761.3
103.2 I 100.05.5 i 5.4
!1,866.51,754.4
112.16.0
1,868.01,756.8
111.26.0
389.6377.9
11.73.0
2,770.02,630.1
139.95.0
9,716.39,130.3
586.06.0
1,005.3973.2
32.13.2
326.0
389.5376.9
12.53.2
2,750.82,617.3
133.54.9
9,714.29,125.0
589.26.1
1,009.4978.431.1
3.1
323.5
389.7378.8
10.92.8
2.744.62,614.3
130.34.7
9,698.89,126.7
572.15.9
1,014.9981.433.5
3.3
323.7
388.7377.9
10.72.8
2,747.92,619.5
128.44.7
9,691.79,120.5
571.15.9
1,014.1979.1
35.13.5
321.9
389.4377.8
11.63.0
2,762.92,626.6
136.44.9
9,677.19,120.2
556.95.8
1,006.7975.231.5
3.1
322.9313.1
12.93.9
3,478.83,337.1
141.74.1
2,825.12,656.7
168.46.0
802.9743.359.6
7.4
2,898.02,784.4
113.63.9
256.2245.6
10.64.1
3,467.23,329.8
137.44.0
2,845.82,671.0
174.86.1
G05.3740.964.4
8.0
2,919.32,812.3
106.93.7
257.3245.3
12.04.7
310.712.73.9
3,474.63,325.6
149.04.3
310.9 j12.8 |4.0 |
3,485.33,337.2
148.14.3
308.8 ! 309.313.1 ! 13.64.1 , 4.2
j
1,860.71,751.6
109.15.9
390.0378.9
11.02.8
1,854.01,744.4
109.65.9
389.0377.7
11.32.9
2,752.5 | 2,752.72.831.4 j 2,628.2
121.14.4
124.54.5
9,680.6 j 9,687.79,135.5 I 9,167.6
545.1 i 520.15.6 5.4
1,010.7 1,012.2981.0 981.5
29.7 30.82.9 3.0
325.4 326.6311.4 | 312.1
14.0 14.54.3 4.4
2,842.4 j 2,865.62,663.1 j 2,686.9
179.2 I 178.76.3 ! 6.2
3,478.5 i 3,498.0 j 3,494.53,325.2 | 3,343.3 j 3,353.3
153.34.4
2,888.12,711.7
176.36.1
154.74.4 |
141.24.0
804.2742.561.7
7.7
2,914.32,808.7
105.63.6
259.5246.4
13.05.0
809.1751.2
57.97.2
2,908.12,804.0
104.13.6
260.1248.3
11.84.5
805.8746.659.27.3
2,908.32,808.6
99.73.4
2,914.32,743.0
171.35.9
!
2,874.02,704.4
169.65.9
!
257.8246.9
10.94.2 !
801.5747.9
53.66.7
2,911.32,808.6
102.73.5
256.6245.1
11.54.5
800.5745.455.16.9
2,905.42,804.2
101.23.5
257.0244.9
12.14.7
3,479.43,333.5
145.94.2
2,866.52,695.6
170.96.0
804.3745.4
58.97.3
2,897.32,801.0
96.23.3
257.1244.9
12.24.7
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.
125
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
2,055.7437.6159.5254.2152.176.7
302.3131.0
2,157.01,376.5
374.4
1,226.0135.495.4
296.436.6
15,458.4272.2439.4
4,412.7201.0
1,125.61,315.81,281.2
717.0174.1
1,224.6887.3860.8188.9228.1247.1234.1382.0
2,121.6164.5239.2
1,072.1
1,695.0217.6106.3585.7266.6150.3184.4115.4
378.768.5
279.9
278.52,567.5
6,883.5188.9727.5168.8102.5509.4196.5200.6
1,040.9759.3169.9227.5145.1
1,096.8452.8
Aug.1996
2,085.2445.7160.9265.8156.177.0
320.0132.9
2,163.81,388.2
367.6
1,254.7141.096.3
305.437.2
15,673.4279.6427.4
4,450.6204.7
1,153.91,349.51,305.2
737.5180.2
1,241.1893.2899.8191.6224.4249.1236.2388.0
2,123.1163.4243.2
1,066.5
1,768.4225.8108.0600.2281.1160.4198.6123.0
386.770.4
285.9
264.42,592.0
7,059.7192.1752.3173.6102.4525.7197.2204.0
1,059.4781.2172.9237.5147.9
1,125.7464.3
Sept.1996P
2,079.2445.2160.5264.6155.277.8
312.7132.8
2,174.11,394.1
371.9
1,247.9140.795.5
303.537.2
15,601.0280.2430.7
4,457.7200.7
1,144.81,340.81,298.1
731.4178.2
1,227.2883.5888.7189.0227.0247.2236.5383.6
2,106.8165.4241.7
1,059.6
1,730.8221.7106.7592.9272.4155.0192.0120.2
379.769.9
282.4
264.82,572.4
7,043.2191.5749.8172.8102.9522.5197.4200.0
1,057.5778.2172.9236.1148.9
1,123.2464.5
Unemployed
Number
Sept.1995
129.219.17.0
17.68.53.4
18.06.0
117.051.213.1
54.73.14.7
10.32.5
1,162.732.948.2
351.623.066.170.1
119.745.613.480.145.839.411.611.124.016.732.5
77.76.49.6
35.8
86.813.33.6
32.313.87.76.76.5
17.33.2
14.9
23.9108.5
396.98.5
42.47.62.8
18.017.913.377.034.3
6.89.64.1
48.037.0
Aug.1996
101.714.05.1
13.16.32.7
17.55.5
126.053.313.4
65.13.84.5
11.73.0
1,097.330.744.6
367.921.658.557.8
108.241.313.067.837.832.910.19.9
21.716.331.8
82.85.9
10.537.9
86.012.93.8
31.514.37.86.16.2
20.93.4
19.7
23.397.8
378.57.8
39.26.52.8
19.517.710.677.030.1
5.98.44.6
43.737.0
Sept.1996?
95.013.34.7
12.15.92.4
18.56.2
132.257.814.8
59.93.54.4
11.02.8
1,049.332.146.3
332.622.157.655.0
103.941.012.264.935.333.010.59.0
21.616.031.3
73.95.49.4
34.2
76.811.83.1
28.212.47.05.55.7
19.93.1
19.0
21.298.5
392.38.0
40.86.52.7
20.118.110.681.130.6
6.29.04.7
44.938.3
Percent oflabor force
Sept.1995
6.34.44.46.95.64.4
6.04.6
5.43.73.5
4.52.34.93.56.9
7.512.111.08.0
11.55.95.39.36.47.76.55.24.66.24.99.77.18.5
3.73.94.03.3
5.16.13.35.55.25.13.65.6
4.64.75.3
8.64.2
5.84.55.84.52.73.59.16.67.44.54.04.22.84.48.2
Aug.1996
4.93.13.14.94.03.5
5.54.2
5.83.83.6
5.22.74.63.88.0
7.011.010.48.3
10.55.14.38.35.67.25.54.23.75.34.48.76.98.2
3.93.64.33.5
4.95.73.55.35.14.83.15.1
5.44.86.9
8.83.8
5.44.15.23.82.73.79.05.27.33.93.43.53.13.98.0
Sept.1996P
4.63.02.94.63.83.1
5.94.7
6.14.14.0
4.82.54.63.67.6
6.711.510.77.5
11.05.04.18.05.66.95.34.03.75.54.08.76.88.2
3.53.33.93.2
4.45.32.94.74.64.52.84.7
5.34.56.7
8.03.8
5.64.25.43.82.73.89.25.37.73.93.63.83.24.08.3
AlabamaBirminghamHuntsvilleMobileMontgomeryTuscaloosa
AlaskaAnchorage
ArizonaPhoenix-MesaTucson
ArkansasFayetteville-Springdale-RogersFort SmithLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldFresnoLos Angeles-Long BeachModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-LompocSanta RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoBoulder-LongmontColorado SpringsDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenNew London-NorwichStamford-NewarkWaterbury
DelawareDoverWilmington-Newark
District of ColumbiaWashington
FloridaDaytona BeachFort LauderdaleFort Myers-Cape CoralGainesvilleJacksonvilleLakeland-Winter HavenMelbourne-Titusville-Palm BayMiamiOrlandoPensacolaSarasota-BradentonTallahasseeTampa-St. Petersburg-Clearwater ...West Palm Beach-Boca Raton
See footnotes at end of table.
126
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
3,617.853.564.6
1,881.7201.6115.3142.8126.3
570.4412.9
598.2194.9
6,078.578.992.1
4,029.5181.160.451.6
180.2192.8106.1
3,142.162.997.7
156.9268.4306.6823.6
55.984.465.0
140.078.4
1,556.5106.1250.9
49.564.064.668.5
1,316.250.187.2
259.5
1,852.1240.2527.649.2
1,957.658.2
279.980.9
162.586.267.6
604.0177.9
651.951.3
124.6
Aug.1996
3,775.656.069.8
1,976.9202.4118.7145.4131.5
592.4428.2
622.9208.9
6,200.978.090.6
4,128.6183.260.851.8
182.3196.7111.8
3,106.560.099.6
153.9263.7302.1812.2
56.581.960.8
134.575.0
1,606.0108.6259.6
50.264.866.167.4
1,356.050.891.2
267.6
1,863.6243.4536.149.3
2,010.159.9
290.284.1
168.889.569.6
618.0183.3
684.651.5
131.8
Sept.1996P
3,771.055.968.4
1,977.0201.8119.3146.6132.9
583.4423.4
622.1207.4
6,123.179.191.0
4,075.8182.159.751.3
180.0193.1105.8
3,087.363.397.8
151.8264.9303.2801.6
56.087.563.3
132.477.0
1,602.6108.6255.9
50.064.765.469.1
1,345.750.789.0
266.3
1,866.7246.3531.449.5
2,022.359.6
292.984.5
169.189.770.0
619.3184.4
672.852.2
129.8
Unemployed
Sept.1995
183.93.52.3
83.015.37.77.56.7
35.020.4
26.56.8
291.72.02.4
194.57.24.22.86.97.04.3
129.51.53.77.79.4
18.028.92.12.12.75.24.3
48.72.86.21.42.01.82.7
53.82.34.1
11.3
98.37.0
23.32.9
124.83.5
16.53.99.75.13.7
38.212.2
30.42.53.9
Number
Aug.1996
171.53.52.2
73.713.95.86.86.2
38.323.0
28.07.2
330.22.32.9
210.97.05.63.0
11.28.35.1
120.41.63.56.38.6
15.225.7
1.92.22.95.34.5
44.72.46.12.11.61.82.5
54.42.44.4
10.4
77.65.0
19.02.0
139.54.5
17.93.6
10.25.54.7
42.013.5
30.13.13.5
Sept.1996P
170.33.32.2
75.213.15.66.96.1
32.520.1
26.17.0
297.52.02.6
192.16.64.92.69.67.44.4
117.31.43.56.48.5
15.025.0
1.92.22.75.14.3
44.52.46.42.11.61.82.4
51.42.24.59.9
83.85.8
19.72.3
135.04.0
17.33.49.95.64.5
41.613.1
27.82.93.2
Sept.1995
5.16.63.64.47.66.75.25.3
6.14.9
4.43.5
4.82.62.64.84.07.05.43.83.64.1
4.12.43.84.93.55.93.53.82.44.23.75.5
3.12.72.52.83.12.83.9
4.14.64.74.4
5.32.94.45.8
6.46.15.94.86.05.95.46.36.9
4.75.03.1
Percent oflabor force
Aug.1996
4.56.23.23.76.94.94.74.7
6.55.4
4.53.4
5.33.03.25.13.89.15.76.14.24.5
3.92.73.54.13.35.03.23.32.74.84.06.0
2.82.32.34.22.42.83.8
4.04.74.83.9
4.22.13.54.2
6.97.56.24.36.16.16.76.87.4
4.46.02.7
Sept.1996?
4.55.93.23.86.54.74.74.6
5.64.7
4.23.4
4.92.62.94.73.68.35.05.33.84.2
3.82.23.64.23.25.03.13.42.54.23.85.5
2.82.22.54.12.52.73.5
3.84.35.13.7
4.52.33.74.6
6.76.85.94.05.96.26.56.77.1
4.15.52.5
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDes MoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyLexingtonLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHoumaLafayetteLake CharlesMonroeNew OrleansShreveport-Bossier City
MaineLewiston-AuburnPortland
See footnotes at end of table.
127
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
2,744.11,284.7
3,151.373.9
1,732.0127.669.1
191.7152.382.540.2
278.8239.7
4,715.7272.8
80.72,109.4
200.7536.5
72.6221.7227.8190.7
2,592.6121.2
1,595.964.491.2
1,260.6217.3
2,834.9920.8
1,336.8163.8
430.6
895.9136.6369.7
814.6605.4166.5
626.498.294.7
119.9
4,047.3173.2657.3282.9599.0504.8998.6166.564.5
784.2337.7
63.872.0
Aug.1996
2,823.01,326.0
3,215.382.7
1,767.1129.469.7
196.1152.683.342.3
279.0245.6
4,896.1273.6
83.92,219.3
200.5563.174.5
223.3229.8195.1
2,651.4122.8
1,648.266.992.3
1,265.6216.6
2,860.8954.2
1,347.0163.8
454.8
911.8138.8373.6
852.2640.5169.0
636.996.895.6
120.1
4,122.9185.4662.1285.5608.9533.2
1,007.1168.464.9
818.5355.465.173.8
Sept.1996*
2,821.51,322.6
3,157.574.7
1,732.6127.569.8
194.6151.982.940.4
279.7242.8
4,849.5275.6
82.72,188.3
200.7557.4
73.8223.1233.2193.0
2,634.2121.7
1,625.466.093.6
1,256.0213.2
2,847.7927.5
1,333.6165.3
449.5
903.8136.9366.2
861.7648.0171.3
624.895.695.6
118.1
4,072.8176.1657.9284.9605.4514.2998.2166.265.1
810.0351.765.572.3
Unemployed
Sept.1995
141.874.8
166.33.2
83.67.84.4
11.78.57.22.5
15.711.7
226.89.03.8
104.612.620.1
3.69.27.79.5
95.16.5
51.41.93.7
83.410.0
124.237.361.6
5.2
22.1
20.92.99.5
42.133.3
7.0
23.23.64.13.8
248.413.143.125.628.027.262.0
8.95.7
48.314.65.13.0
Number
Aug.1996
131.369.9
124.42.5
60.86.53.6
10.96.45.51.8
11.19.1
205.97.64.7
89.811.721.23.58.77.67.8
91.46.2
46.91.73.8
81.78.4
122.037.359.8
5.2
20.6
21.73.09.1
43.434.3
6.9
23.13.23.83.7
246.213.041.525.628.527.360.8
9.65.7
58.618.85.33.3
Sept.1996P
136.973.0
130.92.6
64.36.53.6
11.86.66.11.9
11.69.3
205.87.35.0
87.912.320.8
3.59.27.68.2
102.36.5
54.41.94.2
66.06.9
101.532.950.94.4
20.5
19.22.78.2
45.336.1
7.2
25.13.54.34.1
241.413.340.225.627.026.459.7
9.25.7
55.616.95.23.2
Sept.1995
5.25.8
5.34.44.86.16.36.15.68.86.25.64.9
4.83.34.75.06.33.74.94.23.45.0
3.75.33.22.94.0
6.64.6
4.44.14.63.2
5.1
2.32.12.6
5.25.54.2
3.73.64.33.2
6.17.66.69.04.75.46.25.48.8
6.24.37.94.2
Percent oflabor force
Aug.1996
4.75.3
3.93.03.45.05.15.64.26.74.24.03.7
4.22.85.74.05.83.84.73.93.34.0
3.45.02.82.54.2
6.53.9
4.33.94.43.2
4.5
2.42.22.4
5.15.44.1
3.63.34.03.1
6.07.06.39.04.75.16.05.78.7
7.25.38.24.4
Sept.1996P
4.95.5
4.13.53.75.15.16.14.47.44.74.23.8
4.22.66.04.06.13.74.84.13.34.2
3.95.33.32.94.5
5.33.3
3.63.53.82.7
4.6
2.12.02.2
5.35.64.2
4.03.64.53.5
5.97.56.19.04.55.16.05.58.7
6.94.88.04.4
MarylandBaltimore
MassachusettsBamstable-YarmouthBostonBrocktonFitchburg-LeominsterLawrenceLowellNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn ArborBenton HarborDetroitFlintGrand Rapids-Muskegon-HollandJacksonKalamazoo-Battle-CreekLansing-East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St.PaulRochesterSt. Cloud
MISSISSIPPIJackson
MissouriKansas CitySt. Louis LMASpringfield
Montana
NebraskaLincolnOmaha
NevadaLas VegasReno
New HampshireManchesterNashuaPortsmouth-Rochester
New JerseyAtlantic-Cape MayBergen-PassaicJersey CityMiddlesex-Somerset-Hunterdon ..Monmouth-OceanNewarkTrentonVineland-Millville-Bridgeton
New MexicoAlbuquerqueLas CrucesSanta Fe
See footnotes at end of table.
128
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
8,417.8444.9121.7563.4114.341.761.9
1,344.03,763.63,147.2
166.9557.1359.4142.8
3,648.1105.2710.1610.2556.4
336.849.793.067.4
5,609.2355.5197.6809.9
1,090.8784.7472.2168.375.783.157.1
311.9288.7
1,543.527.140.8
501.9379.5
1,662.7154.184.8
956.8160.1
5,839.5302.961.7
142.7336.5104.1232.7
2,402.41,139.6
177.8310.4
55.364.057.4
189.3
484.9559.5
Aug.1996
8,698.1457.2122.2582.3119.344.267.8
1,402.93,870.63,226.2
172.8577.1366.5147.1
3,764.9106.4728.9626.1567.4
350.851.597.169.0
5,802.4361.8205.1837.0
1,136.0819.7485.4170.378.286.859.1
316.6289.9
1,583.928.043.4
522.6397.7
1,737.5159.086.5
1,006.2166.6
5,975.9312.264.2
142.8351.4107.9242.3
2,453.91,160.3
183.6317.9
55.462.658.4
194.6
498.3569.2
Sept.1996P
8,516.7445.8121.8568.1117.142.962.3
1,364.33,808.03,183.9
167.3566.3363.1143.4
3,724.3106.2720.1620.1563.6
344.250.195.868.3
5,729.2360.8201.0824.7
1,117.9801.7479.4171.577.585.057.8
315.4288.2
1,582.527.542.7
523.5389.1
1,736.4158.287.8
1,000.0165.8
5,876.9306.7
62.6141.6345.0104.2238.0
2,416.11,137.8
182.3310.9
55.264.257.6
192.1
494.2566.4
Unemployed
Sept.1995
523.223.7
5.828.6
5.81.93.1
69.4283.2253.8
8.423.519.77.1
146.93.3
23.619.114.4
9.01.51.81.5
261.415.29.4
35.553.724.718.76.84.55.23.5
14.119.9
68.51.02.1
17.315.3
75.97.55.1
35.66.5
331.715.93.38.7
12.28.28.1
145.362.58.2
23.22.51.93.87.9
34.040.5
Number
Aug.1996
520.319.44.8
30.04.71.83.3
62.4302.8274.3
7.322.015.56.9
153.43.2
26.819.913.3
8.91.21.92.0
248.214.09.1
31.452.423.220.2
6.34.54.83.2
13.215.5
61.3.9
1.816.012.7
84.47.76.1
38.57.7
298.715.83.07.6
10.57.37.4
130.356.0
7.120.42.11.73.38.3
23.728.8
Sept.1996P
489.319.44.9
26.85.01.83.1
55.6282.6256.3
6.921.616.16.5
141.72.9
25.217.912.5
8.11.21.71.5
260.715.39.7
32.556.724.020.86.74.94.73.2
13.715.7
64.8.9
2.018.013.4
81.47.55.7
37.37.1
279.814.93.06.99.87.26.4
128.449.86.7
19.21.81.63.17.4
25.130.6
Sept.1995
6.25.34.85.15.14.55.05.27.58.15.04.25.54.9
4.03.13.33.12.6
2.73.12.02.2
4.74.34.84.44.93.14.04.06.06.36.24.56.9
4.43.75.13.44.0
4.64.86.13.74.0
5.75.25.46.13.67.93.56.05.54.67.54.52.96.64.2
7.07.2
Percent oflabor force
Aug.1996
6.04.23.95.24.04.14.84.47.88.54.23.84.24.7
4.13.03.73.22.4
2.52.32.03.0
4.33.94.43.74.62.84.23.75.75.55.34.25.3
3.93.24.23.13.2
4.94.87.13.84.6
5.05.14.75.33.06.83.05.34.83.96.43.82.85.64.3
4.75.1
Sept.1996P
5.74.44.04.74.24.25.04.17.48.04.23.84.44.5
3.82.73.52.92.2
2.32.31.82.2
4.54.24.83.95.13.04.33.96.35.65.54.35.4
4.13.44.63.43.4
4.74.86.43.74.3
4.84.84.84.92.86.92.75.34.43.76.23.32.45.53.9
5.15.4
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsDutchess CountyElmiraGlens FallsNassau-SuffolkNew York
New York CityNewburghRochesterSyracuseUtica-Rome
North CarolinaAshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High PointRaleigh-Durham-Chapel Hill
North DakotaBismarckFargo-MoorheadGrand Forks
OhioAkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldHamilton-MiddletownLimaMansfieldSteubenville-WeirtonToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphiaPittsburghReadingScranton-Wilkes-Barre-HazeltonSharonState CollegeWilliamsportYork
Rhode IslandProvidence-Fall River-Warwick
See footnotes at end of table.
129
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
1,883.6247.2260.7479.8
384.744.390.5
2,747.1221.7231.3345.5532.8619.3
9,597.359.7
111.0616.8182.0105.4121.670.0
175.21,721.6
286.8820.4126.7
1,986.4111.570.2
101.7119.6180.8119.350.2
722.748.657.084.841.8
100.965.1
981.1147.1630.1
322.995.8
3,488.471.659.4
105.9727.7504.2129.7
2,803.8196.4308.2
1,222.7
Aug.1996
1,884.3247.8263.9485.2
399.446.095.4
2,775.8222.0230.7346.8537.5632.6
9,738.758.5
113.9625.9181.6104.1125.967.1
177.91,765.8
288.2840.4128.5
2,008.8115.166.6
102.5123.9180.7121.349.4
731.548.357.585.241.4
101.366.0
1,028.5151.0663.6
324.993.7
3,530.473.958.6
107.4730.3514.9132.4
2,883.7198.3315.5
1,281.9
Sept.1996P
1,865.5243.8260.8480.7
390.344.393.1
2,776.7221.7230.5344.2541.3631.2
9,682.059.2
113.1634.4180.0104.4123.370.1
176.41,752.4
284.9832.8125.7
1,992.5114.266.3
101.6122.1180.5120.349.0
727.948.257.284.241.2
100.866.0
1,021.6153.2656.6
328.796.2
3,463.574.457.9
105.1717.0505.7129.1
2,853.6196.0308.9
1,261.8
Unemployed
Sept.1995
98.713.29.2
16.0
9.71.21.7
142.011.011.913.127.523.1
577.93.04.4
18.518.28.1
15.12.0
16.381.430.039.3
9.4117.2
5.511.27.84.5
35.07.32.2
32.92.44.55.42.54.72.9
33.54.1
20.4
12.02.7
158.71.74.73.7
35.719.83.8
151.89.0
17.259.6
Number
Aug.1996
111.714.29.3
21.2
11.51.21.7
128.49.29.9
11.622.120.8
548.42.94.3
18.817.07.3
15.01.7
15671.034.932.310.7
108.35.58.18.04.9
33.47.01.7
32.72.14.26.02.04.63.0
32.84.3
19.8
12.32.7
143.61.74.13.6
33.318.93.5
149.88.9
16.151.7
Sept.1996P
113.513.99.6
20.5
9.91.21.7
119.58.69.2
10.621.118.8
514.42.64.1
19.015.86.9
13.71.5
14.467.133.330.110.1
101.45.27.67.64.2
32.26.41.7
30.02.04.15.62.03.92.8
30.34.0
18.5
12.72.8
146.71.73.83.4
34.619.93.6
143.18.7
15.651.1
Sept.1995
5.25.33.53.3
2.52.71.9
5.25.05.13.85.23.7
6.05.13.93.0
10.07.7
12.42.99.34.7
10.54.87.45.94.9
15.97.63.7
19.46.14.34.64.97.96.46.04.64.4
3.42.83.2
3.72.8
4.52.48.03.54.93.92.9
5.44.65.64.9
Percent oflabor force
Aug.1996
5.95.73.54.4
2.92.51.8
4.64.14.33.44.13.3
5.64.93.83.09.47.0
11.92.58.84.0
12.13.88.45.44.8
12.17.84.0
18.55.83.44.54.47.37.14.94.64.6
3.22.83.0
3.82.9
4.12.36.93.34.63.72.6
5.24.55.14.0
Sept.1996P
6.15.73.74.3
2.52.61.8
4.33.94.03.13.93.0
5.34.43.73.08.86.6
11.12.28.13.8
11.73.68.05.14.5
11.47.53.5
17.95.33.44.14.17.36.74.83.94.3
3.02.62.8
3.92.9
4.22.36.53.24.83.92.8
5.04.45.04.1
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
TexasAbileneAmarilloAustin-San MarcosBeaumont-Port ArthurBrazoriaBrownsville-Harlingen-San BenitoBryan-College StationCorpus ChristiDallasEl PasoFort Worth-ArlingtonGalveston-Texas CityHoustonKilleen-TempleLaredoLongview-MarshallLubbockMcAllen-Edinburg-MissionOdessa-MidlandSan AngeloSan AntonioSherman-DenisonTexarkanaTylerVictoriaWacoWichita Falls
UtahProvo-OremSalt Lake City-Odgen
VermontBurlington
VirginiaCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport NewsRichmond-PetersburgRoanoke
WashingtonSpokaneTacomaSeattle-Bellevue-Everett
See footnotes at end of table.
130
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
Sept.1995
Aug.1996
Sept.
Unemployed
Number
Sept.1995
Aug.1996
Sept.1996P
Percent oflabor force
Sept.1995
Aug.1996
Sept.1996P
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
792.3127.9134.976.770.2
2,853.7216.7
76.0126.680.075.869.5
249.0779.4
92.461.670.4
257.832.9
1,233.6106.589.6
105.2667.7
807.0132.7139.277.472.4
2,946.1222.976.6
132.182.675.169.2
256.4799.296.065.672.8
260.532.5
0)V)
803.0131.9138.276.470.3
2,897.2219.576.8
129.481.073.968.8
254.6783.993.563.771.5
258.432.3
0
()0)O
56.97.09.74.93.8
88.66.12.13.53.02.72.03.8
26.63.51.72.4
10.11.7
175.514.314.018.579.1
52.16.08.14.13.1
91.45.42.43.62.72.61.83.7
28.73.91.82.2
10.41.7
0
51.96.18.04.23.0
79.44.81.93.12.52.21.53.5
25.13.11.51.8
10.01.7
7.25.57.26.45.4
3.12.82.82.83.83.62.91.53.43.82.83.5
3.95.2
14.213.515.717.611.9
6.54.55.95.24.3
3.12.43.12.73.33.42.51.53.64.02.83.0
4.05.3
()0O
6.54.75.85.44.3
2.72.22.52.43.12.92.21.43.23.42.32.5
3.95.4
()V)V)0
1 Not available.P = preliminary.
NOTE: Data refer to place of residence. All estimates are provisional and willbe revised when new benchmark and population information becomes available.
131
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
Explanatory Notes and Estimates of Error
Introduction
The statistics in this periodical are compiled from twomajor sources: (1) household interviews, and (2) reportsfrom employers.
Data based on household interviews are obtained fromthe Current Population Survey (CPS), a sample survey ofthe population 16 years of age and over. The survey is con-ducted each month by the Bureau of the Census for theBureau of Labor Statistics and provides comprehensive dataon the labor force, the employed, and the unemployed, clas-sified by such characteristics as age, sex, race, family rela-tionship, marital status, occupation, and industry attachment.The survey also provides data on the characteristics and pastwork experience of those not in the labor force. The infor-mation is collected by trained interviewers from a sample ofabout 50,000 households (beginning with January 1996 data)located in 754 sample areas. These areas are chosen to rep-resent all counties and independent cities in the U.S., withcoverage in 50 States and the District of Columbia. The datacollected are based on the activity or status reported for thecalendar week including the 12th of the month.
Data based on establishment records are compiled eachmonth from mail questionnaires and telephone interviewsby the Bureau of Labor Statistics, in cooperation with Stateagencies. The Current Employment Statistics (CES) sur-vey is designed to provide industry information on non-farm wage and salary employment, average weekly hours,average hourly earnings, and average weekly earnings forthe Nation, States, and metropolitan areas. The employment,hours, and earnings series are based on payroll reports froma sample of about 390,000 establishments employing over47 million nonfarm wage and salary workers. The data re-late to all workers, full or part time, who receive pay duringthe payroll period which includes the 12th of the month.
RELATION BETWEEN THE HOUSEHOLD ANDESTABLISHMENT SERIES
The household and establishment data complement oneanother, each providing significant types of information thatthe other cannot suitably supply. Population characteristics,for example, are obtained only from the household survey,whereas detailed industrial classifications are much morereliably derived from establishment reports.
Data from these two sources differ from each other be-cause of variations in definitions and coverage, source of
information, methods of collection, and estimating proce-dures. Sampling variability and response errors are addi-tional reasons for discrepancies. The major factors whichhave a differential effect on the levels and trends of thetwo data series are as follows.
Employment
Coverage. The household survey definition of employmentcomprises wage and salary workers (including domesticsand other private household workers), self-employed per-sons, and unpaid workers who worked 15 hours or moreduring the reference week in family-operated enterprises.Employment in both agricultural and nonagricultural indus-tries is included. The payroll survey covers only wage andsalary employees on the payrolls of nonfarm establishments.
Multiple jobholding. The household survey provides infor-mation on the work status of the population without dupli-cation, since each person is classified as employed, unem-ployed, or not in the labor force. Employed persons hold-ing more than one job are counted only once. In the figuresbased on establishment reports, persons who worked in morethan one establishment during the reporting period arecounted each time their names appear on payrolls.
Unpaid absences from jobs. The household survey includesamong the employed all civilians who had jobs but werenot at work during the reference week—that is, were notworking but had jobs from which they were temporarilyabsent because of illness, vacation, bad weather, childcareproblems, labor-management disputes, or because they weretaking time off for various other reasons, even if they werenot paid by their employers for the time off. In the figuresbased on payroll reports, persons on leave paid for by thecompany are included, but those on leave without pay forthe entire payroll period are not.
Hours of workThe household survey measures hours worked for all
workers whereas the payroll survey measures hours for pri-vate production and nonsupervisory workers paid for byemployers. In the household survey, all persons with a jobbut not at work are excluded from the hours distributionsand the computations of average hours at work. In the pay-
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roll survey, production or nonsupervisory employees on paidvacation, paid holiday, or paid sick leave are included andassigned the number of hours for which they were paid dur-ing the reporting period.
EarningsThe household survey measures the earnings of wage
and salary workers in all occupations and industries in boththe private and public sectors. Data refer to the usual earn-ings received from the worker's sole or primary job. Datafrom the establishment survey generally refer to averageearnings of production and related workers in mining andmanufacturing, construction workers in construction, andnonsupervisory employees in private service-producing in-dustries. For a comprehensive discussion of the variousearnings series available from the household and establish-ment surveys, see BLS Measures of Compensation, BLSBulletin 2239 (1986).
COMPARABILITY OF HOUSEHOLD DATA WITHOTHER SERIES
Unemployment insurance data. The unemployed total fromthe household survey includes all persons who did not havea job during the reference week, were currently availablefor a job, and were looking for work or were waiting to becalled back to a job from which they had been laid off,whether or not they were eligible for unemployment insur-ance. Figures on unemployment insurance claims, preparedby the Employment and Training Administration of the U.S.Department of Labor, exclude, in addition to otherwise in-eligible persons who do not file claims for benefits, per-sons who have exhausted their benefit rights, new workerswho have not earned rights to unemployment insurance,and persons losing jobs not covered by unemployment in-surance systems (some workers in agriculture, domesticservices, and religious organizations, and self-employed andunpaid family workers).
In addition, the qualifications for drawing unemploymentcompensation differ from the definition of unemploymentused in the household survey. For example, persons with ajob but not at work and persons working only a few hoursduring the week are sometimes eligible for unemploymentcompensation but are classified as employed rather thanunemployed in the household survey.
For an examination of the similarities and differencesbetween State insured unemployment and total unemploy-ment, see "Measuring Total and State Insured Unemploy-
ment" by Gloria P. Green in the June 1971 issue of theMonthly Labor Review.
Agricultural employment estimates of the U.S. Departmentof Agriculture. The principal differences in coverage arethe inclusion of persons under 16 in the National Agricul-tural Statistics Service series and the treatment of dual job-holders, who are counted more than once if they work onmore than one farm during the reporting period. There arealso wide differences in sampling techniques and data col-lecting and estimating methods, which cannot be readilymeasured in terms of their impact on differences in the lev-els and trends of the two series.
COMPARABILITY OF PAYROLL EMPLOYMENTDATA WITH OTHER SERIES
Statistics on manufacturers and business, Bureau of theCensus. BLS establishment statistics on employment dif-fer from employment counts derived by the Bureau of theCensus from its censuses or sample surveys of manufactur-ing and business establishments. The major reasons fornoncomparability are different treatment of business unitsconsidered parts of an establishment, such as central ad-ministrative offices and auxiliary units; the industrial clas-sification of establishments; and different reporting patternsby multiunit companies. There are also differences in thescope of the industries covered, e.g., the Census of Busi-ness excludes professional services, public utilities, andfinancial establishments, whereas these are included in theBLS statistics.
County Business Patterns, Bureau of the Census. Data inCounty Business Patterns (CBP) differ from BLS estab-lishment statistics in the treatment of central administra-tive offices and auxiliary units. Differences may also arisebecause of industrial classification and reporting practices.In addition, CBP excludes interstate railroads and most ofgovernment, and coverage is incomplete for some of thenonprofit agencies.
Employment covered by State unemployment insuranceprograms. Most nonfarm wage and salary workers arecovered by the unemployment insurance programs.However, some employees, such as those working inparochial schools and churches, are not covered byunemployment insurance, whereas they are included in theBLS 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 andrelated data are compiled by BLS using data from the Cur-rent Population Survey (CPS).This monthly survey of house-holds is conducted for BLS by the Bureau of the Censusthrough a scientifically selected sample designed to repre-sent the civilian noninstitutional population. Respondentsare interviewed to obtain information about the employmentstatus of each member of the household 16 years of age andover. The inquiry relates to activity or status during the cal-endar week, Sunday through Saturday, which includes the12th 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 50,000 occupied units are eligible forinterview. Some 3,200 of these households are contacted butinterviews are not obtained because the occupants are not athome after repeated calls or are unavailable for other reasons.This represents a noninterview rate for the survey that rangesbetween 6 and 7 percent. In addition to the 50,000 occupiedunits, there are about 9,000 sample units in an average monthwhich are visited but found to be vacant or otherwise noteligible for enumeration. Part of the sample is changed eachmonth. The rotation plan, as will be explained later, providesfor three-fourths of the sample to be common from one monthto the next, and one-half to be common with the same montha year earlier.
CONCEPTS AND DEFINITIONS
The concepts and definitions underlying labor force datahave been modified, but not substantially altered, since theinception of the survey in 1940; those in use as of January1994 are as follows:
Civilian noninstitutional population. Included are persons16 years of age and older residing in the 50 States and theDistrict of Columbia who are not inmates of institutions (e.g.,penal and mental facilities, homes for the aged), and whoare not on active duty in the Armed Forces.
Employed persons. All persons who, during the referenceweek, (a) did any work at all (at least 1 hour) as paid em-ployees, worked in their own business, profession, or on theirown farm, or who worked 15 hours or more as unpaid work-ers in an enterprise operated by a member of the family, and(b) all those who were not working but who had jobs or busi-nesses from which they were temporarily absent because ofvacation, illness, bad weather, child-care problems, mater-
nity or paternity leave, labor-management dispute, job train-ing, or other family or personal reasons, whether or not theywere paid for the time off or were seeking other jobs.
Each employed person is counted only once, even if he orshe holds more than one job. For purposes of occupationand industry classification, multiple jobholders are countedin the job at which they worked the greatest number of hoursduring the reference week.
Included in the total are employed citizens of foreign coun-tries who are temporarily in the United States but not livingon the premises of an embassy. Excluded are persons whoseonly activity consisted of work around their own house(painting, repairing, or own home housework) or volunteerwork for religious, charitable, and other organizations.
Unemployed persons. All persons who had no employmentduring the reference week, were available for work, exceptfor temporary illness, and had made specific efforts to findemployment some time during the 4-week-period endingwith the reference week. Persons who were waiting to berecalled to a job from which they had been laid off need nothave been looking for work to be classified as unemployed.
Duration of unemployment. This represents the length oftime (through the current reference week) that persons clas-sified as unemployed had been looking for work. For per-sons on layoff, duration of unemployment represents thenumber of full weeks they had been on layoff. Mean dura-tion is the arithmetic average computed from single weeksof unemployment; median duration is the midpoint of adistribution of weeks of unemployment.
Reason for unemployment. Unemployment is also catego-rized according to the status of individuals at the time theybegan to look for work. The reasons for unemployment aredivided into five major groups: (1) Job losers, comprised of(a) persons on temporary layoff, who have been given a dateto return to work or who expect to return within 6 months(persons on layoff need not be looking for work to qualifyas unemployed), and (b) permanent job losers, whose em-ployment ended involuntarily and who began looking forwork; (2) Job leavers, persons who quit or otherwise termi-nated their employment voluntarily and immediately beganlooking for work; (3) Persons who completed temporaryjobs, who began looking for work after the jobs ended; (4)Reentrants, persons who previously worked but were out ofthe labor force prior to beginning their job search; and (5)New entrants, persons who never worked. Each of thesefive categories of the unemployed can be expressed as aproportion of the entire civilian labor force; the sum of thefour rates thus equals the unemployment rate for all civilian
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workers. (For statistical presentation purposes, "job losers"and "persons who completed temporary jobs" are combinedinto a single category until seasonal adjustments can be de-veloped for the separate categories.)
Jobseekers. All unemployed persons who made specific ef-forts to find a job sometime during the 4-week period pre-ceding the survey week are classified as jobseekers.Jobseekers do not include persons classified as on tempo-rary layoff, who although often looking for work, are notrequired to do so to be classified as unemployed. Jobseekersare grouped by the methods used to seek work. Only activemethods—which have the potential to result in a job offerwithout further action on the part of the jobseeker—qualifyas job search. Examples include going to an employer di-rectly or to a public or private employment agency, seekingassistance from friends or relatives, placing or answeringads, or using some other active method. Examples of the"other" category include being on a union or professionalregister, obtaining assistance from a community organiza-tion, or waiting at a designated labor pickup point. Passivemethods, which do not qualify as job search, include read-ing (as opposed to answering or placing) "help wanted" adsand taking a job training course.
Labor force. This group comprises all persons classified asemployed or unemployed in accordance with the criteriadescribed above.
Unemployment rate. The unemployment rate represents thenumber unemployed as a percent of the labor force.
Participation rate. This represents the proportion of the popu-lation that is in the labor force.
Employment-population ratio. This represents the propor-tion of the population that is employed.
Not in the labor force. Included in this group are all personsin the civilian noninstitutional population who are neitheremployed nor unemployed. Information is collected on theirdesire for and availability to take a job at the time of theCPS interview, job search activity in the prior year, and rea-son for not looking in the 4 week period prior to the surveyweek. This group includes discouraged workers, defined aspersons not in the labor force who want and are availablefor a job and who have looked for work sometime in thepast 12 months (or since the end of their last job if they heldone within the past 12 months), but are not currently look-ing, because they believe there are no jobs available or thereare none for which they would qualify.
Persons classified as not in the labor force who are in thesample for either their fourth or eighth month are askedadditional questions relating to job history and workseekingintentions. These latter data are available on a quarterly basis.
Occupation, industry, and class of worker. This informationfor the employed applies to the job held in the referenceweek. Persons with two or more jobs are classified in thejob at which they worked the greatest number of hours. Theunemployed are classified according to their last job. Theoccupational and industrial classification of CPS data isbased on the coding systems used in the 1990 census.
The class-of-worker breakdown assigns workers to thefollowing categories: Private and government wage and sal-ary workers, self-employed workers, and unpaid familyworkers. Wage and salary workers receive wages, salary,commissions, tips, or pay in kind from a private employeror from a government unit. Self-employed persons are thosewho work for profit or fees in their own business, profes-sion, trade, or farm. Only the unincorporated self-employedare included in the self-employed category in the class ofworker typology. Self-employed persons who respond thattheir businesses are incorporated are included among wageand salary workers, because technically, they are paid em-ployees of a corporation. Unpaid family workers are per-sons working without pay for 15 hours a week or more on afarm or in a business operated by a member of the house-hold to whom they are related by birth or marriage.
Multiple jobholders. These are employed persons who, dur-ing the reference week, had either two or more jobs as awage and salary worker, were self-employed and also held awage and salary job, or worked as an unpaid family workerand also held a wage and salary job. A person employedonly in private households (cleaner, gardener, babysitter, etc.)who worked for two or more employers during the refer-ence week is not counted as a multiple jobholder, since work-ing for several employers is considered an inherent charac-teristic of private household work. Also excluded are self-employed persons with multiple businesses and persons withmultiple jobs as unpaid family workers.
Hours of work. These statistics relate to the actual numberof hours worked during the reference week. For example,persons who normally work 40 hours a week but were off onthe Columbus Day holiday would be reported as working 32hours, even though they were paid for the holiday. For per-sons working in more than one job, the published figuresrelate to the number of hours worked in all jobs during theweek; all the hours are credited to the major job. Unpub-lished data are available for the hours worked in each joband for usual hours.
At work part time for economic reasons. Sometimes referredto as involuntary part time, this category refers to individu-als who gave an economic reason for working 1 to 34 hoursduring the reference week. Economic reasons include slackwork or unfavorable business conditions, inability to findfull-time work, and seasonal declines in demand. Those whousually work part time must also indicate that they want andare available to work full time to be classified as on parttime for economic reasons.
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At work part time for noneconomic reasons. This group in-cludes those persons who usually work part time and wereat work 1 to 34 hours during the reference week for a non-economic reason. Noneconomic reasons include, for ex-ample: Illness or other medical limitations, child-care prob-lems or other family or personal obligations, school or train-ing, retirement or Social Security limits on earnings, andbeing in a job where full-time work is less than 35 hours.The group also includes those who gave an economic rea-son for usually working 1 to 34 hours but said they do notwant 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 joband therefore classified in the zero-hours-worked category,"with a job but not at work." These are persons who wereabsent from their jobs for the entire week for such reasonsas bad weather, vacation, illness, or involvement in a labordispute. In order to differentiate a person's normal schedulefrom their activity during the reference week, persons arealso classified according to their usual full- or part-time sta-tus. In this context, full-time workers are those who usuallyworked 35 hours or more (at all jobs combined). This groupwill include some individuals who worked less than 35 hoursin the reference week for either economic or noneconomicreasons and those who are temporarily absent from work.Similarly, part-time workers are those who usually work lessthan 35 hours per week (at all jobs), regardless of the num-ber of hours worked in the reference week. This may in-clude some individuals who actually worked more than 34hours in the reference week, as well as those who are tem-porarily absent from work. Thefull-time labor force includesall employed persons who usually work full time and unem-ployed persons who are either looking for full-time work orare on layoff from full-time jobs. The part-time labor forceconsists of employed persons who usually work part timeand unemployed persons who are seeking or are on layofffrom 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 describethe race of persons. Included in the "other" group are Ameri-can Indians, Alaskan Natives, and Asians and Pacific Island-ers. Because of the relatively small sample size, data for"other" races are not published. In the enumeration pro-cess, race is determined by the household respondent.
Hispanic origin. This refers to persons who identified them-selves in the enumeration process as Mexican, Puerto Rican,Cuban, Central or South American, or of other Hispanic ori-gin or descent. Persons of Hispanic origin may be of anyrace; thus they are included in both the white and black popu-lation 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 thecivilian noninstitutional population; i.e., veterans in institu-tions and women are excluded. Nonveterans are persons whonever served in the Armed Forces.
Usual weekly earnings. Data represent earnings before taxesand other deductions, and include any overtime pay, com-missions, or tips usually received (at the main job in thecase of multiple jobholders.) Earnings reported on a basisother than weekly (e.g., annual, monthly, hourly) are con-verted to weekly. The term "usual" is as perceived by therespondent. If the respondent asks for a definition of usual,interviewers are instructed to define the term as more thanhalf the weeks worked during the past 4 or 5 months. Datarefer to wage and salary workers (excluding self-employedpersons 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 whichdivides the earnings distribution into two equal parts, onepart having values above the median and the other havingvalues below the median. The medians as shown in this pub-lication are calculated by linear interpolation of the $50 cen-tered interval within which each median falls. Data expressedin constant dollars are deflated by the Consumer Price In-dex for All Urban Consumers (CPI-U).
Single, never married; married, spouse present; and othermarital status. These are the terms used to define the mari-tal status of individuals at the time of interview. Married,spouse present, applies to husband and wife if both wereliving in the same household, even though one may be tem-porarily absent on business, vacation, on a visit, in a hospi-tal, etc. Other marital status applies to persons who are mar-ried, spouse absent; widowed; or divorced. Married, spouseabsent relates to persons who are separated due to maritalproblems, as well as husbands and wives who are living apartbecause one or the other was employed elsewhere, on dutywith the Armed Forces, or any other reasons.
Household. A household consists of all persons—relatedfamily members and all unrelated persons—who occupy ahousing unit and have no other usual address. A house, anapartment, a group of rooms, or a single room is regarded asa housing unit when occupied or intended for occupancy asseparate living quarters. A householder is the person (or oneof the persons) in whose name the housing unit is owned orrented. The term is never applied to either husbands or wivesin married-couple families but relates only to persons in fami-lies maintained by either men or women without a spouse.
Family. A family is defined as a group of two or more per-sons residing together who are related by birth, marriage, oradoption; all such persons are considered as members of onefamily. Families are classified either as married-couple fami-
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lies or as families maintained by women or men withoutspouses. A family maintained by a woman or a man is one inwhich the householder is either single, widowed, divorced,or married, spouse absent. Data on the earnings of familiesexclude all those in which there is no wage or salary earneror in which the husband, wife, or other person maintainingthe family is either self-employed or in the Armed Forces.
HISTORICAL COMPARABILITY
Changes in concepts and methodsWhile 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 im-prove the accuracy and usefulness of the data. Some of themost important changes include:
• In 1945, the questionnaire was radically changed withthe introduction of four basic employment questions. Priorto that time, the survey did not contain specific questionwording, but rather relied on a complicated scheme of ac-tivity prioritization.
• In 1953, the current 4-8-4 rotation system was adopted,whereby households are interviewed for 4 consecutivemonths, leave the sample for 8 months, and then return tothe sample for the same 4 months of the following year.Before this system was introduced, households were inter-viewed for 6 consecutive months and then replaced. The newsystem provided some year-to-year overlap in the sample,thereby improving measurement over time.
• In 1955, the survey reference week was changed to thecalendar week including the 12th day of the month, forgreater consistency with the reference period used for otherlabor-related statistics. Previously, the calendar week con-taining the 8th day of the month had been used as the refer-ence week.
• In 1957, the employment definition was modified slightlyas a result of a comprehensive interagency review of laborforce concepts and methods. Two relatively small groups ofpersons classified as employed, under "with a job but not atwork," were assigned to different classifications. Persons onlayoff with definite instructions to return to work within 30days of the layoff date, and persons volunteering that they werewaiting to start a new wage and salary job within 30 days ofinterview, were, for the most part, reassigned to the unem-ployed classification. The only exception was the small sub-group in school during the reference week but waiting to startnew jobs, which was transferred to not in the labor force.
• In 1967, more substantive changes were made as a re-sult of the recommendations of the President's Committeeto Appraise Employment and Unemployment Statistics (the
Gordon Committee). The principal improvements were asfollows:
a) A 4-week job search period and specific questions onjobseeking activity were introduced. Previously, the ques-tionnaire was ambiguous as to the time period for jobseekingand there were no specific questions concerning job-searchmethods.
b) An availability test was introduced whereby a personmust be currently available for work in order to be classi-fied as unemployed. Previously, there was no such require-ment. This revision to the concept mainly affected students,who, for example, may begin to look for summer jobs in thespring although they will not be available until June or July.Such persons, until 1967, had been classified as unemployedbut 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 lookingfor work, were shifted from unemployed status to employed.
d) The lower age limit for official statistics on employ-ment, unemployment, and other labor force concepts wasraised from 14 to 16 years. Historical data for most majorseries have been revised to provide consistent informationbased on the new minimum age limit.
e) New questions were added to obtain additional infor-mation on persons not in the labor force, including thosereferred to as "discouraged workers," defined as persons whoindicate that they want a job but are not currently lookingbecause they believe there are no jobs available or none forwhich they would qualify.
f) New "probing" questions were added to the question-naire in order to increase the reliability of information onhours of work, duration of unemployment, and self-employ-ment.
• In 1994, major changes to the Current Population Sur-vey (CPS) were introduced, which included a complete re-design of the questionnaire and the use of computer-assistedinterviewing for the entire survey. In addition, there wererevisions to some of the labor force concepts and defini-tions, including the implementation of some changes rec-ommended in 1979 by the National Commission on Em-ployment and Unemployment Statistics (NCEUS, alsoknown as the Levitan Commission). Some of the majorchanges to the survey were:
a) The introduction of a redesigned and automated ques-tionnaire. The CPS questionnaire was totally redesigned inorder to obtain more accurate, comprehensive, and relevant
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information, and to take advantage of state-of-the-art com-puter interviewing techniques.
b) The addition of two, more objective, criteria to the defi-nition of discouraged workers. Prior to 1994, to be classi-fied as a discouraged worker, a person must have wanted ajob and be reported as not currently looking because of abelief that no jobs were available or that there were none forwhich he or she would qualify. Beginning in 1994, personsclassified as discouraged must also have looked for a jobwithin the past year (or since their last job, if they workedduring the year), and must have been available for workduring the reference week (a direct question on availabilitywas added in 1994; prior to 1994, availability had been in-ferred from responses to other questions). These changeswere made because the NCEUS and others felt that the pre-vious definition of discouraged workers was too subjective,relying mainly on an individual's stated desire for a job andnot on prior testing of the labor market.
c) Similarly, the identification of persons employed parttime for economic reasons (working less than 35 hours inthe reference week because of poor business conditions orbecause of an inability to find full-time work) was tightenedby adding two new criteria for persons who usually workpart time: They must want and be available for full-timework. Previously, such information was inferred. (Personswho usually work full time but worked part time for an eco-nomic reason during the reference week are assumed to meetthese criteria.)
d) Specific questions were added about the expectationof recall for persons who indicate that they are on layoff. Tobe classified as "on temporary layoff," persons must expectto be recalled to their jobs. Previously, the questionnaire didnot include explicit questions about the expectation of re-call.
e) Persons volunteering that they were waiting to start anew job within 30 days must have looked for work in the 4weeks prior to the survey in order to be classified as unem-ployed. Previously, such persons did not have to meet thejob-search requirement in order to be included among theunemployed.
For additional information on changes in CPS conceptsand methods, see Concepts and Methods used in LaborForce Statistics Derived from the Current PopulationSurvey, BLS Report 463, October 1976 and "Overhaulingthe Current Population Survey—Why is it Necessary toChange?," "Redesigning the Questionnaire," and "Evalu-ating Changes in the Estimates," Monthly Labor Review,September 1993, and "Revisions in the Current PopulationSurvey Effective January 1994," in the February 1994 is-sue of this publication.
Noncomparability of labor force levelsIn addition to the refinements in concepts, definitions, and
methods made over the years, other changes have also af-fected the comparability of the labor force data.
• Beginning in 1953, as a result of introducing data fromthe 1950 census into the estimating procedures, populationlevels were raised by about 600,000; labor force, total em-ployment, and agricultural employment were increased byabout 350,000, primarily affecting the figures for totals andmen; other categories were relatively unaffected.
• Beginning in 1960, the inclusion of Alaska and Hawaiiresulted in an increase of about 500,000 in the populationand about 300,000 in the labor force. Four-fifths of this in-crease was in nonagricultural employment; other labor forcecategories were not appreciably affected.
• Beginning in 1962, the introduction of data from the1960 census reduced the population by about 50,000 andlabor force and employment by about 200,000; unemploy-ment totals were virtually unchanged.
• Beginning in 1972, information from the 1970 censuswas introduced into the estimation procedures, increasingthe population by about 800,000; labor force and employ-ment totals were raised by a little more than 300,000; unem-ployment levels and rates were essentially unchanged.
• In March 1973, a subsequent population adjustmentbased on the 1970 census was introduced. This adjustment,which affected the white and black-and-other groups but hadlittle effect on totals, resulted in the reduction of nearly300,000 in the white population and an increase of the samemagnitude in the black-and-other population. Civilian laborforce and total employment figures were affected to a lesserdegree; the white labor force was reduced by 150,000, andthe black-and-other labor force rose by about 210,000. Un-employment levels and rates were not significantly affected.
• Beginning in January 1974, the method used to prepareindependent estimates of the civilian noninstitutional popu-lation was modified to an "inflation-deflation" approach.This change in the derivation of the estimates had its great-est impact on estimates of 20- to 24-year old men—particu-larly those of the black-and-other population—but had littleeffect on estimates of the total population 16 years and over.Additional information on the adjustment procedure appearsin "CPS Population Controls Derived from Inflation-Defla-tion Method of Estimation," in the February 1974 issue ofthis publication.
• Effective in July 1975, as a result of the large inflow ofVietnamese refugees into the United States, the total and
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black-and-other independent population controls for per-sons 16 years and over were adjusted upward by 76,000 —(30,000 men and 46,000 women). The addition of the refu-gees increased the black-and-other population by less than1 percent in any age-sex group, with all of the changes be-ing confined to the "other'* component of the population.
• Beginning in January 1978, the introduction of anexpansion in the sample and revisions in the estimationprocedures resulted in an increase of about 250,000 in thecivilian labor force and employment totals; unemploymentlevels and rates were essentially unchanged. An explanationof the procedural changes and an indication of the differencesappear in "Revisions in the Current Population Survey inJanuary 1978" in the February 1978 issue of this publication.
• Beginning in October 1978, the race of the individualwas determined by the household respondent for theincoming rotation group households, rather than by theinterviewer as before. The purpose of this change was toprovide more accurate estimates of characteristics by race.Thus, in October 1978, one-eighth of the sample householdshad race determined by the household respondent and seven-eighths of the sample households had race determined byinterviewer observation. It was not until January 1980 thatthe entire sample had race determined by the householdrespondent. The new procedure had no significant effect onthe estimates.
• Beginning in January 1979, the first-stage ratio adjust-ment method was changed in the CPS estimation proce-dure. Differences between the old and new procedures ex-isted only for metropolitan and nonmetropolitan area esti-mates, not for the total United States. The reasoning behindthe change and an indication of the differences appear in"Revisions in the Current Population Survey in January1979" in the February 1979 issue of this publication.
• Beginning in January 1982, the second-stage ratio ad-justment method was changed. The purpose of the changeand an indication of its effect on national estimates of laborforce characteristics appear in "Revisions in the CurrentPopulation Survey Beginning in January 1982" in the Feb-ruary 1982 issue of this publication. In addition, currentpopulation estimates used in the second-stage estimationprocedure were derived from information obtained from the1980 census, rather than the 1970 census. This change causedsubstantial increases in the total population and in the esti-mates of persons in all labor force categories. Rates for la-bor force characteristics, however, remained virtually un-changed. Some 30,000 labor force series were adjusted backto 1970 to avoid major breaks in series. The adjustmentprocedure used also is described in the February 1982article cited above. The revisions did not, however, smoothout the breaks in series occurring between 1972 and 1979(described above), and data users should consider them whencomparing estimates from different periods.
• Beginning in January 1983, the first-stage ratio adjust-ment method was updated to incorporate data from the 1980census. The purpose of the change and an indication of itseffect on national estimates of labor force characteristicsappear in "Revisions in the Current Population Survey Be-ginning in January 1983" in the February 1983 issue of thispublication. There were only slight differences between theold and new procedures in estimates of levels for the vari-ous labor force characteristics and virtually no differencesin estimates of participation rates.
• Beginning in January 1985, most of the steps of theCPS estimation procedure—the noninterview adjustment,the first- and second-stage ratio adjustments, and the com-posite estimator—were revised. These procedures are de-scribed in the Estimating Methods section. A description ofthe changes and an indication of their effect on nationalestimates of labor force characteristics appear in "Changesin the Estimation Procedure in the Current Population Sur-vey Beginning in January 1985" in the February 1985 issueof this publication. Overall, the revisions had only a slighteffect on most estimates. The greatest impact was on esti-mates of persons of Hispanic origin. Major estimates wererevised back to January 1980.
• Beginning in January 1986, the population controls usedin the second-stage ratio adjustment method were revisedto reflect an explicit estimate of the number of undocumentedimmigrants (largely Hispanic) since 1980 and an improvedestimate of the number of emigrants among legal foreign-born residents for the same time period. As a result, thetotal civilian population and labor force estimates were raisedby nearly 400,000; civilian employment was increased byabout 350,000. The Hispanic-origin population and laborforce estimates were raised by about 425,000 and 305,000,respectively, and Hispanic employment by 270,000. Over-all and subgroup unemployment levels and rates were notsignificantly affected. Because of the magnitude of the ad-justments for Hispanics, data were revised back to Janu-ary 1980 to the extent possible. An explanation of the changesand their effect on estimates of labor force characteristicsappear in "Changes in the Estimation Procedure in the Cur-rent Population Survey Beginning in January 1986" in theFebruary 1986 issue of this publication.
• Beginning in August 1989, the second-stage ratio esti-mate cells were changed slightly to decrease the chance ofvery small cells occurring and to be more consistent withpublished age, sex, race cells. This change had virtually noeffect on national estimates.
• Beginning in January 1994, 1990 census-based popu-lation controls, adjusted for the estimated undercount, wereintroduced into the second stage estimation procedure. Thischange resulted in substantial increases in total populationand in all major labor force categories. Effective February1996, these controls were introduced into the estimates for
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1990-93. Under the new population controls, the civiliannoninstitutional population for 1990 increased by about 1.1million, employment by about 880,000, and unemploymentby approximately 175,000. The overall unemployment raterose by about 0.1 percentage point. For further information,see "Revisions in the Current Population Survey EffectiveJanuary 1994," and "Revisions in Household Survey DataEffective February 1996" in the February 1994 and March1996 issues, respectively, of this publication.
Additionally, for the period January through May 1994,the composite estimation procedure was suspended due totechnical and logistical reasons.
Changes in the occupational and industrialclassification system
Beginning in 1971, the comparability of occupationalemployment data was affected as a result of changes in theoccupational classification system for the 1970 census thatwere introduced into the CPS. Comparability was furtheraffected in December 1971, when a question relating to majoractivity or duties was added to the monthly CPS question-naire in order to determine more precisely the occupationalclassification of individuals. As a result of these changes,meaningful comparisons of occupational employment lev-els could not be made between 1971-72 and prior years norbetween those 2 years. Unemployment rates were not sig-nificantly affected. For a further explanation of the changesin the occupational classification system, see "Revisions inOccupational Classifications for 1971" and "Revisions inthe Current Population Survey" in the February 1971 andFebruary 1972 issues, respectively, of this publication.
Beginning in January 1983, the occupational and indus-trial classification systems used in the 1980 census wereintroduced into the CPS. The 1980 census occupational clas-sification system evolved from the Standard OccupationalClassification (SOC) system and was so radically differentin concepts and nomenclature from the 1970 system thatcomparisons of historical data are not possible without ma-jor adjustments. For example, the 1980 major group "salesoccupations" is substantially larger than the 1970 category"sales workers." Major additions include "cashiers" from"clerical workers" and some self-employed proprietors inretail trade establishments from "managers and administra-tors, except farm."
The industrial classification system used in the 1980 cen-sus was based on the 1972 Standard Industrial Classifica-tion (SIC) system, as modified in 1977. The adoption ofthe new system had much less of an adverse effect on his-torical comparability than did the new occupational sys-tem. The most notable changes from the 1970 system werethe transfer of farm equipment stores from "retail" to "whole-sale" trade, postal service from "public administration" to"transportation," and some interchange between "profes-sional and related services" and "public administration."Additional information on the 1980 census occupational andindustrial classification systems appears in "Revisions in theCurrent Population Survey Beginning in January 1983" in
the February 1983 issue of this publication.Beginning in January 1992, the occupational and indus-
trial classification systems used in the 1990 census were in-troduced into the CPS. (These systems were largely based onthe 1980 Standard Occupational Classification (SOC) and1987 Standard Industrial Classification (SIC) systems, respec-tively.) There were a few breaks in comparability betweenthe 1980 and 1990 census-based systems, particularly withinthe "technical, sales, and administrative support" categories.The most notable changes in industry classification were theshift of several industries from "business services" to "pro-fessional services" and the splitting of some industries intosmaller, more detailed categories. A number of industry titleswere changed as well, with no change in content.
SamplingSince the inception of the survey, there have been various
changes in the design of the CPS sample. The sample is tra-ditionally redesigned and a new sample selected after eachdecennial census. Also, the number of sample areas and thenumber of sample persons are changed occasionally. Mostof these changes are made in order to improve the efficiencyof the sample design, increase the reliability of the sampleestimates, or control cost.
Changes in this regard since 1960 are as follows: WhenAlaska and Hawaii received statehood in 1959 and 1960,respectively, three sample areas were added to the existingsample to account for the population of these States. In Janu-ary 1978, a supplemental sample of 9,000 housing units, se-lected in 24 States and the District of Columbia, was de-signed to provide more reliable annual average estimatesfor States. In October 1978, a coverage improvement sampleof approximately 450 sample household units representing237,000 occupied mobile homes and 600,000 new construc-tion housing units was added. In January 1980, anothersupplemental sample of 9,000 households selected in 32States and the District of Columbia was added. A samplereduction of about 6,000 units was implemented in May1981. In January 1982, the sample was expanded by 100households to provide additional coverage in counties addedto the 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 infor-mation. A sample reduction of about 4,000 households wasimplemented in April 1988; they were reinstated during the8-month period, April-November 1989. A redesigned CPSsample based on the 1990 decennial census was selected foruse during the 1990's. Households from this new samplewere phased into the CPS between April 1994 and July 1995.The July 1995 sample was the first monthly sample basedentirely on the 1990 census. For further information on the1990 sample redesign, see "Redesign of the Sample for theCurrent Population Survey" in the May 1994 issue of thispublication.
The original 1990 census-based sample design includedabout 66,000 housing units per month located in 792 se-
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lected geographic areas called primary sampling units(PSU's). The sample was initially selected to meet specificreliability criteria for the Nation, for each of the 50 Statesand the District of Columbia, and for the sub-State areas ofNew York City and the Los Angeles-Long Beach metropoli-tan area. In 1996, the original sample design reliability cri-teria were modified to reduce costs. The current criteria,given below, are based on the coefficient of variation (CV)of the unemployment level, where the CV is defined as thestandard error of the estimate divided by the estimate, ex-pressed as a percentage. These CV controls assume a 6-per-cent unemployment rate to establish a consistent specifica-tion of sampling error.
The current sample design, introduced in January 1996,includes about 59,000 households from 754 sample areasand maintains a 1.9-percent CV on national monthly esti-mates of unemployment level. This translates into a changeof 0.2 percentage point in the unemployment rate being sig-nificant at a 90-percent confidence level. For each of thefifty States and for the District of Columbia, the design main-tains a CV of at most 8-percent on the annual average esti-mate of unemployment level, assuming a 6-percent unem-ployment rate. Due to the national reliability criterion, esti-mates for several large States are substantially more reli-able than the State design criterion requires. Annual aver-age unemployment estimates for California, Florida, NewYork, and Texas, for example, carry a CV of less than 4percent.
In the first stage of sampling, the 754 sample areas arechosen. In the second stage, ultimate sampling unit clusterscomposed of about four housing units each are selected. Eachmonth, about 59,000 housing units are assigned for datacollection, of which about 50,000 are occupied and thus eli-gible for interview. The remainder are units found to be de-stroyed, vacant, converted to nonresidential use, containingpersons whose usual place of residence is elsewhere, or in-eligible for other reasons. Of the 50,000 housing units, about6.5 percent are not interviewed in a given month due to tem-porary absence (vacation, etc.), other failures to make con-tact after repeated attempts, inability of persons contactedto respond, unavailability for other reasons, and refusals tocooperate (about half of the noninterviews). Information isobtained each month for about 94,000 persons 16 years ofage or older.
Selection of sample areas. The entire area of the UnitedStates, consisting of 3,141 counties and independent cities,is divided into 2,007 sample units (PSU's). In most States, aPSU consists of a county or a number of contiguous coun-ties. In New England and Hawaii, minor civil divisions areused instead of counties.
Metropolitan areas within a State are used as a basis forforming PSU's. Outside of metropolitan areas, counties nor-mally are combined except when the geographic area of anindividual county is too large. Combining counties to formPSU's provides greater heterogeneity; a typical PSU includes
urban and rural residents of both high and low economiclevels and encompasses, to the extent feasible, diverse oc-cupations and industries. Another important considerationis that the PSU be sufficiently compact so that, with a smallsample spread throughout, it can be efficiently canvassedwithout undue travel cost.
The 2,007 PSU's are grouped into strata within each State.Then one PSU is selected from each stratum with the prob-ability of selection proportional to the population of the PSU.Nationally, there are a total of 428 PSU's in strata by them-selves. These strata are self-representing and are generallythe most populous PSU's in each State. The 326 remainingstrata are formed by combining PSU's that are similar insuch characteristics as unemployment, proportion of hous-ing units with three or more persons, number of persons em-ployed in various industries, and average monthly wagesfor various industries. The single PSU randomly selectedfrom each of these strata is non-self-representing because itrepresents not only itself but the entire stratum. The prob-ability of selecting a particular PSU in a non-self-represent-ing stratum is proportional to its 1990 population. For ex-ample, within a stratum, the chance that a PSU with a popu-lation of 50,000 would be selected for the sample is twicethat for a PSU having a population of 25,000.
Selection of sample households. Because the sample designis State based, the sampling ratio differs by State and de-pends on State population size as well as both national andState reliability requirements. The State sampling ratiosrange roughly from 1 in every 100 households to 1 in every3,000 households. The sampling ratio occasionally is modi-fied slightly to hold the size of the sample relatively con-stant given the overall growth of the population. The sam-pling ratio used within a sample PSU depends on the prob-ability of selection of the PSU and the sampling ratio for theState. In a sample PSU with a probability of selection of 1 in10 and a State sampling ratio of 3,000, a within-PSU sam-pling ratio of 1 in 300 achieves the desired ratio of 1 in 3,000for the stratum.
The 1990 within-PSU sample design was developed us-ing block-level data from the 1990 census. (The 1990 cen-sus was the first decennial census that produced data at theblock level for the entire country.) Normally, census blocksare bounded by streets and other prominent physical fea-tures such as rivers or railroad tracks. County, Minor CivilDivision, and census place limits also serve as block bound-aries. In cities, blocks can be bounded by four streets and bequite small in land area. In rural areas, blocks can be severalsquare miles in size.
For the purpose of sample selection, census blocks weregrouped into three strata: Unit, group quarters, and area.(Occasionally, units within a block were split between theunit and group quarters strata.) The unit stratum containedregular housing units with addresses that were easy to lo-cate (e.g. most single family homes, townhouses, condo-miniums, apartment units, and mobil homes). The group
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quarters stratum contained housing units where residentsshared common facilities or received formal or authorizedcare or custody. Unit and group quarters blocks exist pri-marily in urban areas. The area stratum contains blockswith addresses that are more difficult to locate. Area blocksexist primarily in rural areas.
To reduce the variability of the survey estimates and toensure that the within-PSU sample would reflect the demo-graphic and socioeconomic characteristics of the PSU, blockswithin the unit, group quarters, and area strata were sortedusing geographic and block-level data from the census.Examples of the census variables used for sorting includeproportion of minority renter-occupied housing units, pro-portion of housing units with female householders, and pro-portion of owner-occupied housing units. The specific sort-ing variables used differed by type of PSU (urban or rural)and stratum.
Within each block, housing units were sorted geographi-cally and grouped into clusters of approximately four units.A systematic sample of these clusters was then selected in-dependently from each stratum using the appropriate within-PSU sampling ratio. The geographic clustering of the sampleunits reduces field representative travel costs. Prior to in-terviewing, special listing procedures are used to locate theparticular sample addresses in the group quarters and areablocks.
Units in the three strata described above all existed at thetime of the 1990 decennial census. Through a series of addi-tional procedures, a sample of building permits is includedin the CPS to represent housing units built after the decen-nial census. Adding these newly built units keeps the sampleup-to-date and representative of the population. It also helpsto keep the sample size stable: over the life of the sample,
the addition of newly built housing units compensates forthe loss of "old" units which may be abandoned, demol-ished, or converted to nonresidential use.
Rotation of sample. Part of the sample is changed eachmonth. Each monthly sample is divided into eight represen-tative subsamples or rotation groups. A given rotation groupis interviewed for a total of 8 months, divided into two equalperiods. It is in the sample for 4 consecutive months, leavesthe sample during the following 8 months, and then returnsfor another 4 consecutive months. In each monthly sample,one of the eight rotation groups is in the first month of enu-meration, another rotation group is in the second month, andso on. Under this system, 75 percent of the sample is com-mon from month to month and 50 percent from year to yearfor the same month. This procedure provides a substantialamount of month-to-month and year-to-year overlap in thesample, thus providing better estimates of change and re-ducing discontinuities in the series of data without burden-ing any specific group of households with an unduly longperiod of inquiry.
CPS sample, 1947 to present. Table 1-A provides a descrip-tion of some aspects of the CPS sample designs in use since1947. A more detailed account of the history of the CPSsample design appears in The Current Population Survey:Design and Methodology, Technical Paper No. 40, Bureauof the Census, or Concepts and Methods Used in Labor ForceStatistics Derived from the Current Population Survey, Re-port 463, Bureau of Labor Statistics. A description of the1990 census-based sample design appears in "Redesign ofthe Sample for the Current Population Survey," in the May1994 issue of this publication.
Table 1-A. Characteristics of the CPS sample, 1947 to present
Time period
Aug. 1947 to Jan. 1954Feb. 1954 to Apr. 1956May 1956 to Dec. 1959Jan. 1960 to Feb. 1963Mar. 1963 to Dec. 1966Jan. 1967 to July 1971Aug. 1971 to July 1972Aug. 1972 to Dec. 1977Jan. 1978 to Dec. 1979Jan. 1980 to Apr. 1981May 1981 to Dec. 1984Jan. 1985 to Mar. 1988Apr. 1988 to Mar. 1989April 1989 to Oct. 1994 3Nov. 1994 to Aug. 19954
Sept. 1995 to Dec. 1995Jan. 1996 to present
Number of sampleareas
68230
13302333357449449461614629629729729729792792754
Households eligible
Interviewed
21,00021,00033,50033,50033,50048,00045,00045,00053,50062,20057,80057,00053,20057,40054,50052,90046,800
Not interviewed
500-1,000500-1,000
1,5001,5001,5002,0002,0002,0002,5002,8002,5002,5002,6002,6003,5003,4003,200
Households visitedbut not eligible
3,000-3,5003,000-3,500
6,0006,0006,0008,5008,0008,000
10,00012,00011,00011,00011,50011,80010,0009,7009,000
1 Beginning in May 1956, these areas were chosen to provide coverage ineach State and the District of Columbia.
2 Three sample areas were added in 1960 to represent Alaska and Hawaiiafter statehood.
3 The sample was increased incrementally during the 8-month period, April-November 1989.
4 Includes 2,000 additional assigned housing units from Georgia and Virginiathat were gradually phased in during the 10-month period, October 1994-August 1995.
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ESTIMATING METHODS
Under the estimating methods used in the CPS, all of theresults for a given month become available simultaneouslyand are based on returns from the entire panel of respon-dents. The estimation procedure involves weighting the datafrom each sample person by the inverse of the probabilityof the person being in the sample. This gives a rough mea-sure of the number of actual persons that the sample personrepresents. Since 1985, most sample persons within the sameState have had the same probability of selection. Some se-lection probabilities may differ within a State due to thesample design or for operational reasons. Field subsampling,for example, which is carried out when areas selected forthe sample are found to contain many more households thanexpected, may cause probabilities of selection to differ forsome sample areas within a State. Through a series of esti-mation steps (outlined below), the selection probabilitiesare adjusted for noninterviews and survey undercoverage;data from previous months are incorporated into the esti-mates through the composite estimation procedure.
1. Noninterview adjustment. The weights for all interviewedhouseholds are adjusted to account for occupied samplehouseholds for which no information was obtained becauseof absence, impassable roads, refusals, or unavailability ofthe respondents for other reasons. This noninterview adjust-ment is made separately for clusters of similar sample areasthat are usually, but not necessarily, contained within a State.Similarity of sample areas is based on Metropolitan Statis-tical Area (MSA) status and size. Within each cluster, thereis a further breakdown by residence. Each MSA cluster issplit by "central city" and "balance of the MSA." Eachnon-MSA cluster is split by "urban" and "rural" residencecategories. The proportion of sample households not inter-viewed varies from 6 to 7 percent, depending on weather,vacation, etc.
2. Ratio estimates. The distribution of the population se-lected for the sample may differ somewhat, by chance, fromthat of the population as a whole in such characteristics asage, race, sex, and State of residence. Because these char-acteristics are closely correlated with labor force participa-tion and other principal measurements made from thesample, the survey estimates can be substantially improvedwhen weighted appropriately by the known distribution ofthese population characteristics. This is accomplishedthrough 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 vari-ance that results from selecting a sample of PSU's ratherthan drawing sample households from every PSU in theNation. This adjustment is made to the CPS weights in tworace cells: Black and nonblack; it is applied only to PSU's
that are not self-representing and for those States that havea substantial number of black households. The procedurecorrects for differences that existed in each State cell at thetime of the 1990 census between 1) the race distributionof the population in sample PSU's and 2) the race distribu-tion of all PSU's (both 1 and 2 exclude self-representingPSU's).
b. Second-stage ratio estimation. This procedure sub-stantially reduces the variability of estimates and corrects,to some extent, for CPS undercoverage. The CPS sampleweights are adjusted to ensure that sample-based estimatesof population match independent population controls. Threesets of controls are used:
1) 51 State controls of the civilian noninstitutionalpopulation 16 years of age and older,
2) National civilian noninstitutional population controlsfor 14 Hispanic and 5 non-Hispanic age-sex categories,
3) National civilian noninstitutional populationcontrols for 66 white, 42 black, and 10 "other" age-sexcategories.
The independent population controls are prepared by pro-jecting forward the resident population as enumerated onApril 1, 1990. The projections are derived by updating de-mographic census data with information from a variety ofother data sources that account for births, deaths, and netmigration. Estimated numbers of resident Armed Forces per-sonnel and institutionalized persons reduce the residentpopulation to the civilian noninstitutional population. Esti-mates of net census undercount, determined from the PostEnumeration Survey, are added to the population projec-tions. Prior to January 1994, the projections were based onearlier censuses, and there was no correction for censusundercount. A summary of the current procedures used tomake population projections is given in "Revisions in theCurrent Population Survey Effective January 1994," appear-ing in the February 1994 issue of this publication.
3. Composite estimation procedure. The last step in thepreparation of most CPS estimates makes use of a compos-ite estimation procedure. The composite estimate consistsof a weighted average of two factors: The two-stage ratioestimate based on the entire sample from the current monthand the composite estimate for the previous month, plus anestimate of the month-to-month change based on the sixrotation groups common to both months. In addition, a biasadjustment term is added to the weighted average toaccount for relative bias associated with month-in-sampleestimates. This month-in-sample bias is exhibited byunemployment estimates for persons in their first and fifthmonths in the CPS being generally higher than estimatesobtained for the other months.
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The composite estimate results in a reduction in the sam-pling error beyond that which is achieved after the two stagesof ratio adjustment. For some items, the reduction is substan-tial. The resultant gains in reliability are greatest in estimatesof month-to-month change, although gains are also usuallyobtained for estimates of level in a given month, change fromyear to year, and change over other intervals of time.
Rounding of estimatesThe sums of individual items may not always equal the
totals shown in the same tables because of independentrounding of totals and components to the nearest thousand.Similarly, sums of percent distributions may not always equal100 percent because of rounding. Differences, however, areinsignificant.
Reliability of the estimatesThere are two types of errors possible in an estimate based
on a sample survey—sampling and nonsampling. The stan-dard errors provided indicate primarily the magnitude ofthe sampling error. They also incorporate the effect of somenonsampling errors in response and enumeration but do notaccount for any systematic biases in the data.
Nonsampling error. The full extent of nonsampling error isunknown, but special studies have been conducted to quan-tify some sources of nonsampling error in the CPS, as dis-cussed below. The effect of nonsampling error should besmall on estimates of relative change, such as month-to-month change. Estimates of monthly levels would be moreseverely affected by the nonsampling error.
Nonsampling errors in surveys can be attributed to manysources, e.g., the inability to obtain information about allpersons in the sample; differences in the interpretation ofquestions; inability or unwillingness of respondents to pro-vide correct information; inability to recall information;errors made in collecting and processing the data; errorsmade in estimating values for missing data; and failure torepresent all sample households and all persons withinsample households (undercoverage).
Nonsampling errors occurring in the interview phase ofthe survey are studied by means of a reinterview program.This program is used to estimate various sources of error aswell as to evaluate and control the work of the interviewers.A random sample of each interviewer's work is inspectedthrough reinterview at regular intervals. The results indi-cate, among other things, that the data published from theCPS are subject to moderate systematic biases. A descrip-tion of the CPS reinterview program and some of the otherresults may be found in The Current Population SurveyReinterview Program, January 1961 through December1966, Technical Paper No. 19, Bureau of the Census, U.S.Department of Commerce.
The effects of some components of nonsampling error inthe CPS data can be examined as a result of the rotationplan used for the sample, since the level of the estimates
varies by rotation group. A description of these effects ap-pears in "The Effects of Rotation Group Bias on EstimatesFrom Panel Surveys," by Barbara A. Bailar, Journal of theAmerican Statistical Association, Volume 70, No. 349,March 1975.
Undercoverage in the CPS results from missed housingunits and missed persons within sample households. TheCPS covers about 92 percent of the decennial census popu-lation (adjusted for census undercount). It is known thatthe CPS undercoverage varies with age, sex, race, and His-panic origin. Generally, undercoverage is larger for menthan for women and larger for blacks, Hispanics, and otherraces 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 thatmissed persons in missed households or missed persons ininterviewed households have different characteristics thaninterviewed persons in the same age-sex-race-origin group.
Additional information on nonsampling error in the CPSappears in An Error Profile: Employment as Measured bythe Current Population Survey, by Camilla Brooks and Bar-bara Bailar, Statistical Policy Working Paper 3, U.S. De-partment of Commerce, Office of Federal Statistical Policyand Standards; in "The Current Population Survey: An Over-view," by Marvin Thompson and Gary Shapiro, Annals ofEconomic and Social Measurement, Vol. 2, April 1973; andin The Current Population Survey, Design and Methodol-ogy, Technical Paper No. 40, Bureau of the Census, U.S.Department of Commerce. This last document includes acomprehensive discussion of various sources of errors anddescribes attempts to measure them in the CPS.
Sampling error. When a sample rather than the entire popu-lation is surveyed, estimates differ from the true populationvalues that they represent. This difference, or sampling er-ror, occurs by chance, and its variability is measured by thestandard error of the estimate. Sample estimates from agiven survey design are unbiased when an average of theestimates from all possible samples would yield, hypotheti-cally, the true population value. In this case, the sampleestimate and its standard error can be used to construct ap-proximate confidence intervals, or ranges of values, thatinclude the true population value with known probabilities.If the process of selecting a sample from the populationwere repeated many times and an estimate and its standarderror calculated for each sample, then:
1. Approximately 68 percent of the intervals from one stan-dard error below the estimate to one standard error abovethe estimate would include the true population value.
2. Approximately 90 percent of the intervals from 1.6standard errors below the estimate to 1.6 standard errorsabove the estimate would include the true population value.
3. Approximately 95 percent of the intervals from two
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standard errors below the estimate to two standard errorsabove the estimate would include the true population value.
Although the estimating methods used in the CPS do notproduce unbiased estimates, biases for most estimates arebelieved to be small enough so that these confidence inter-val statements are approximately true.
Since it would be too costly to develop standard errorsfor all CPS estimates, generalized variance function tech-niques are used to calculate sets of standard errors for vari-ous types of labor force characteristics. It is important tokeep in mind that standard errors computed from these meth-ods reflect contributions from sampling errors and somekinds of nonsampling errors and indicate the general mag-nitude of an estimate's standard error rather than its precisevalue.
The generalized variance functions and standard errorsprovided here are based on the sample design and estimationprocedures as of 1987 and have been adjusted to reflect thepopulation levels and sample size as of 1996. Standard errorsfor years prior to 1996 may be roughly approximated byadjusting, as follows, the standard errors presented here.
1. For the years 1967 through 1995, multiply the standarderrors by 0.96.
2. For the years 1956 through 1966, multiply the standarderrors by 1.17.
3. For years prior to 1956, multiply the standard errorsby 1.44.
More accurate standard error estimates for historical CPSdata may be found in previous issues of this publication.
Tables 1-B through 1-H are provided so that approximatestandard errors of estimates can be easily obtained. Thesetables are briefly summarized here; details illustrating theproper use of each table follow.
Tables 1-B and 1-C show standard errors for estimatedmonthly levels and rates for selected employment statuscharacteristics; these tables also provide standard errors forconsecutive month-to-month changes in the estimates. Thesestandard errors are based on levels of recent estimates andcan be determined directly by finding the characteristic ofinterest.
Tables 1-D and 1-E show standard errors for monthly lev-els and consecutive monthly changes in levels for generalemployment status characteristics. The standard errors arecalculated using linear interpolation based on the size ofthe monthly estimates.
Tables 1-F and 1-G give parameters that can be used withformulas to calculate a standard error on nearly any speci-fied level, unemployment rate, percentage, or consecutivemonth-to-month change. For monthly levels and consecu-tive month-to-month changes in levels, tables 1-F and 1-Gare preferred to tables 1-D and 1-E, since the formulas pro-vide more accurate results than linear interpolation.
Table 1-B. Standard errors for major employment statuscategories(In thousands)
Category
Total, 16 years and over:Civilian labor forceEmployedUnemployed
Men, 20 years and over:Civilian labor forceEmployedUnemployed
Women, 20 years and over:Civilian labor forceEmployedUnemployed
Both sexes, 16 to 19 years:Civilian labor forceEmployedUnemployed
Black, 16 years and over:Civilian labor forceEmployed ,Unemployed
Men, 20 years and over:Civilian labor forceEmployedUnemployed
Women, 20 years and over:Civilian labor forceEmployed ,Unemployed
Both sexes, 16 to 19 years:Civilian labor forceEmployedUnemployed
Hispanic origin, 16 years and over:Civilian labor forceEmployedUnemployed
Monthlylevel
293312145
19420697
21922491
979662
13814066
787143
989744
403532
13013463
Consecutive-month change
216235161
164174113
165171105
959581
10110576
697250
737451
423737
9110773
Table 1-H presents factors used to convert standarderrors of monthly levels and rates determined from tables 1-B, 1-C, 1-D, and 1-F to standard errors pertaining to quar-terly and yearly averages, consecutive year-to-year changesof monthly estimates, and changes in quarterly and yearlyaverages.
The standard errors for estimated changes from 1 monthto the next, 1 year to the next, etc., depend more on themonthly levels for characteristics than on the size of thechanges. Accordingly, tables 1-E, 1-G, and 1-H use monthlylevels (not the magnitude of the changes) for approximatingstandard errors of change. Standard errors for estimatedchange between nonconsecutive months are not provided(except for year-to-year change); however, these may be as-sumed to be higher than the standard errors for consecutivemonthly change.
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Table 1 -C. Standard errors for unemployment rates by majorcharacteristics
Characteristic
Total, 16 years and overMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and overBoth sexes, 16 to 19 yearsWhite workersBlack workersHispanic-origin workersMarried men, spouse presentMarried women, spouse presentWomen who maintain families
Occupation
Executive, administrative, and managerialProfessional specialtyTechnicians and related support ,SalesAdministrative support, including clerical...Private household ,Protective serviceService, except private household and
protective service ,Precision production, craft, and repairMachine operators, assemblers, and
inspectorsTransportation and material movingHandlers, equipment cleaners, helpers,
and laborersFarming, forestry, and fishing
Industry
Nonagricultural private wage and salaryworkersGoods-producing industries
MiningConstructionManufacturing
Durable goodsNondurable goods
Service-producing industriesTransportation, communications, and
public utilitiesWholesale and retail tradeFinance and services
Government workersAgricultural wage and salary workers
Monthlylevel
0.11.15.14.16.16.74.11.45.50.15.18.54
.20
.20
.45
.30
.251.75.67
.38
.34
.49
.55
.73
.73
.13
.251.39.68.26.32.42.15
.42
.27
.19
.211.18
Consecutive-month change
0.13.18.17.19.19.97.13.53.59.18.22.64
24.23.54.36.30
2.08.80
.45
.40
.58
.66
.87
.87
.15
.301.65.81.31.38.50.18
.50
.32
.23
.251.40
Use of tables 1-B and 1-C. These table provide a quickreference for standard errors of major characteristics. Table1-B gives approximate standard errors for estimates ofmonthly levels and consecutive month-to-month changesin levels for major employment status categories. Table 1-Cgives approximate standard errors for estimates of monthlyunemployment rates and consecutive month-to-monthchanges in unemployment rates for some demographic, in-dustrial, and occupational categories. For characteristics notgiven 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 ofwomen 20 years and over in the civilian labor force is esti-mated to be 54,000,000. For this characteristic, the approxi-mate standard error of 219,000 is given in table 1-B in therow, 'Total, 16 years and over: Women, 20 years and over:Civilian labor force." A 90-percent confidence interval, asshown by these data, would then be the interval from53,650,000 to 54,350,000. Concluding that the true laborforce level lies within this interval would be correct forroughly 90 percent of all possible samples.
Use of tables 1~D and 1-E. From these tables, approximatestandard errors can be calculated for estimates of monthlylevels and month-to-month changes in levels for major la-bor force characteristics by race and Hispanic origin. Formajor categories not shown, such as male or female, tables1-F and 1-G can be used. Standard errors for intermediatevalues not shown in the tables may be approximated by lin-ear interpolation. For table 1-E, which applies to estimatesof consecutive month-to-month change, the average of thetwo monthly levels (not the change) is used to select theappropriate row in the table.
Illustration. Assume that between 2 consecutive monthsthe estimated number of employed persons changed from115,600,000 to 116,700,000, an apparent increase of1,100,000. The approximate standard error on this month-to-month change estimate is based on the average level ofthe estimate for the 2 months, 116,150,000. Using the table1-E column titled "Labor force data other than agriculturalemployment and unemployment, Total," it is necessary tofind the standard errors corresponding to the two monthlylevel entries between which the value 116,150,000 lies. Thestandard error corresponding to 100,000,000 is given as274,000, and the standard error corresponding to120,000,000 is given as 246,000. Use linear interpolationto find the approximate standard error on month-to-monthchange corresponding to the level 116,150,000; one methodof calculation is given below.
Thus, a 90-percent confidence interval for the true month-to-month change would be approximately the interval from698,000 to 1,502,000.
Use of tables 1-F and 1-G. These tables can be used to findapproximate standard errors for a wide range of estimatedmonthly levels, proportions, rates, and estimates of consecu-tive monthly change. Instead of displaying standard errors,these tables provide parameters to be used with the formu-las given below that allow the user to calculate standarderrors.
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Table 1-D. Standard errors for estimates of monthly levels(In thousands)
Estimatedmonthly level
Characteristic
Agriculturalemployment
Total orwhite
Black
Unemployment
Total orwhite
Black Hispanicorigin
Labor force data other than agriculturalemployment and unemployment
Total White BlackEmployed
Hispanic origin
Civilian laborforce or notin labor force
501005001,000...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 .100,000120,000140,000160,000180,000
1218416296
157216273330
1318395576
1217385476
107131150167201228
131839547496
106108101
1319425982
113
1217395477
108131151168202229271302324340350354349322267
1217395477
108131150167201227267296315327333333313264159
1318395576
103120131137137113
1420446183
111126134135110
1420446183
111126134135110
Table 1-E. Standard errors for estimates of month-to-month change in levels(In thousands)
Estimatedmonthly level
501005001,000....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 ..100,000120,000140,000160,000180,000
Characteristic
Agriculturalemployment
Total orwhite
1419435978959473
Black
1217375272
Unemployment
Total orwhite
1420466489
124148166180204215
Black
1521466384
1041069247
Hispanicorigin
1622506995
127
Labor force data other than agriculturalemployment and unemployment
Total
101432456388
108123137165187221245262274281283274246188
White
101432456388
108123137165187221245262274281283274246188
Black
10153345628497
10410810058
Hispanic origin
Employed
121737517093
10511011079
Civilian laborforce or notin labor force
10143143597889949576
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Table 1-G, which applies to estimates of consecutivemonthly change, lists parameters for some characteristicsclassified by a measure of correlation between monthly es-timates. Estimates of the number of persons employed fulltime, for example, change relatively little from one monthto the next, and the two monthly estimates are said to behighly correlated. Consecutive monthly estimates of part-time employment, by contrast, have low correlation, sincethese estimates are relatively volatile.
Major characteristics for which consecutive monthly es-timates are known to have high or low correlation are indi-cated in table 1-G. Not all categories in table 1-G, however,are broken down into low or high correlation characteris-tics. When high or low correlation is not specified in table1-G, the parameters in table 1-G should be selected fromthe rows labeled "Most characteristics" or from rows notspecifying correlation.
Standard errors of estimated levels. The approximate stan-dard error, sx, of an estimated monthly level, x, can be ob-tained using the formula below, where a and b are the pa-rameters from table 1-F associated with the particular char-acteristic. The same formula can be used to approximatethe standard error of an estimated month-to-month changein level; simply average the levels for the 2 consecutivemonths and use the parameters from table 1-G.
sx = V ax2+ bx
Illustration. Assume that in a given month there are an es-timated 6 million unemployed men in the civilian labor force(x = 6,000,000). Obtain the appropriate a and b parametersfrom table 1-F ("Unemployment: Total or white"). Use theformula to compute an approximate standard error on theestimate of 6,000,000.
a = -0.000017962 b = 2957.13
sx = V(-a000017962X6>00°,000)2 + (2957.13X6,000,000) il31,000
Suppose that in the next month the estimated number ofunemployed men increases by 200,000 to 6,200,000. Theaverage of the monthly levels is x = 6,100,000. Obtain theappropriate a and b parameters from table 1-G ("Unemploy-ment: Total or white, Total, men, women"). Use the formulato compute an approximate standard error on the estimatedchange of 200,000.
a = -0.000093662 b = 4191.84
Sx = ^-(0.000093662 X6,100,000)2 + (4191.84X6,100,000) = 149,000
An approximate 90-percent confidence interval for thetrue month-to-month change would be the interval from
-38,000 to 438,000. Because this interval covers zero, onecannot assert at this level of confidence that any real changehas occurred in the unemployment level. This result canalso be expressed by saying that the apparent change of200,000 is not significant at a 90-percent confidence level.
Standard errors of estimated percentages and rates. Gener-ally, percentages and rates are not published unless themonthly base (denominator) is greater man 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 dependsupon 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 thenumerator. The approximate standard error, sy p, of an esti-mated percentage or rate, p, can be obtained using the fol-lowing formula, where y is the estimated number of per-sons in the base.
Illustration. For a given month, suppose that 5,600,000women, 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 per-centage, proceed as follows. Obtain the parameter b =2529.99 from table 1-F ("Labor force and not-in-labor-forcedata other than agricultural employment and unemployment:Total, Women"). Apply the formula to obtain:
• \
2529.995,600,000
(32X100-32) = 1.0 percent
Suppose that in the next month 5,700,000 women in thissame age group are reported employed and that 1,950,000or 34 percent are part-time workers. To estimate the stan-dard error on the observed month-to-month change of 2 per-centage points, first average the values for p and y over the2 months to get p = 33 percent and y = 5,650,000. Next,obtain the parameter b = 2690.59 from table 1-G ("Laborforce and not-in-labor-force data other than agricultural em-ployment and unemployment: Total or white, Women: Lowcorrelation characteristics") and apply the formula as fol-lows.
2690.595,650,000
(33X100-33) = 1.0 percent
It should be noted that the numerator of the percentage(part-time employed) determined the choice of correlation.
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Table 1 -F. Parameters for computation of standard errorsfor estimates of monthly levels
Characteristic
Labor force and not-in-labor-force data other than agriculturalemployment and unemployment:
Total1
MeniWomenBoth sexes, 16 to 19 years
WhiterMenWomenBoth sexes, 16 to 19 years ..
BlackMenWomenBoth 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 whiteMenWomen or both sexes, 16 to
19years
Black
Hispanic origin:Total or womenMen or both sexes, 16 to
19years
Unemployment:
Total or whiteBlackHispanic origin
1 Excludes not-in-labor-force data.
If the example had illustrated percentages of women em-ployed full time, the numerator would have been a highcorrelation characteristic. Table 1-G, however, does not ex-plicitly list high correlation parameters for employedwomen; thus, the row labeled "Women, Most characteris-tics" would have been used.
Had the example dealt with teenage women employedpart time, either of two rows in table 1-G could have beenapplied ("Women: Low correlation characteristics" or "Bothsexes, 16 to 19 years"). In situations like this, where it isnot clear which row applies, a general rule to follow is tochoose the row with the largest b parameter. This gives amore conservative estimate of standard error.
Use of table 1-H. Use this table with table 1-B, 1-C, 1-D, or1-F to calculate approximate standard errors for quarterly
-0.000017682-.000032770-.000029553-.000171805
-.000020028-.000036840-.000033710-.000204195
-.000125300-.000302096-.000182509-.001294516
-.000206380
.000005931
.000782035.000858136
-.000024885
-.000134884
.011857446
.015736341
-.000017962-.000212109-.000101820
2985.262764.052529.992544.62
2984.722766.672526.822549.88
3139.262930.792637.412949.48
3895.71
828.79
3048.572825.09
2582.39
3154.76
2894.85
1702.50
2957.133149.773576.47
or yearly averages, changes in consecutive quarterly oryearly averages, and consecutive year-to-year changes inmonthly estimates. Table 1-H gives factors that can be usedto convert standard errors for monthly levels into standarderrors for other time periods and changes over time. Fol-low these three basic steps:
Step 1. Average estimates appropriately. For quarterlyestimates, average the 3 monthly estimates. For yearly es-timates, average the 12 monthly estimates. For changes inconsecutive averages, average over the 2 quarters or 2 years.For consecutive year-to-year changes in monthly estimates,average the 2 months involved.
Step 2. Obtain a standard error on a monthly estimateusing 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 aver-age were an estimate for a single month.
Step 3. Determine the standard error on the average oron the estimate of change. Multiply the result from step 2by the appropriate factor from table 1-H.
Illustration. Suppose that standard errors are desired for aquarterly average of black employment levels and for thechange in average? from 1 quarter to the next. For eachsuccessive month of the first quarter, suppose the levels areobserved 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 agri-cultural employment and unemployment: Black"). Use theformula for sx to compute an approximate standard errorfor a monthly estimate of 11,600,000.
a = -0.000125300 b = 3139.26
S x = 7( - 0 - 0 0 0 1 2 5 3 0 0 K 1 1 » 6 0 0 » 0 °0) 2 + (3139.26)(11,600,000) = 140,000
Step 3. Multiply this result by the factor .87 from table1-H (column labeled "Quarterly averages" and row labeled"Labor force and not-in-labor-force data other than agricul-tural employment and unemployment, Black"). This givesan approximate standard error of 122,000 on the quarterlyaverage of 11,600,000.
Proceed to obtain the approximate standard error on thechange in consecutive quarterly average estimates of blackemployment. Assume that black employment estimates forthe months in the second quarter are observed to be11,100,000, 11,200,000, and 11,300,000.
Step 1. The average for the second quarter is 11,200,000.
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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 agriculturalemployment and unemployment:
Total or white:Most characteristicsHigh correlation characteristics1
Low correlation characteristics1
Men:Most characteristicsHigh correlation characteristicsLow correlation characteristics
Women:Most characteristicsLow correlation characteristics
Both sexes, 16 to 19 years
Black:Most characteristicsLow correlation characteristics
Men:Most characteristicsLow correlation characteristics
Women:Most characteristicsLow correlation characteristics
Both sexes, 16 to 19 years
Hispanic origin:Total
Civilian labor force and not in labor forceLow correlation characteristicsMen, civilian labor force and not in labor forceMen, 16 years and over, 20 years and over; and both sexes,
16 to 19 yearsWomen, 16 years and over and 20 years and over
Agricultural employment:
Total or white:TotalMenWomen or both sexes, 16 to 19 years
Black:Total or womenMen or both sexes, 16 to 19 years
Hispanic origin:Total or womenMen or both sexes, 16 to 19 years
Self-employed
Unemployment:2
Total or white:Total, men, womenBoth sexes, 16 to 19 years and low correlation characteristics....
Black:Total, men, women, and both sexes, 16 to 19 yearsHigh correlation characteristics
Hispanic origin:Total, men, womenBoth sexes, 16 to 19 years and low correlation characteristics....
•0.000012482-.000009288-.000016162
-.000022599-.000016814-.000058387
-.000021229-.000059785
-.000186555
-.000098960-.001928030
-.000234427-.002881467
-.000156363-.002311407
-.001288452
-.000157201-.000102898-.002624078-.000248038
-.000398909-.000338741
-.000395757-.000672985.000130289
-.000122355-.019110769
.002872129
.002884390
-.000245791
-.000093662-.000071624
-.000414217.000048170
-.000252897-.000996431
2001.121564.842550.56
1921.131500.992668.56
1689.992690.59
2616.54
2147.366513.82
2280.035829.60
1860.785420.13
3131.77
2774.531930.518620.432347.42
3615.622569.69
3838.043959.252367.00
2861.725876.77
4640.814028.10
2091.57
4191.845121.75
4361.163088.91
5054.257037.75
1 High correlation characteristics include employed full-time, manufacturing,service workers, and not in the labor force. Low correlation characteristicsinclude all part-time workers; employed, with a job, but not at work; unpaidfamily 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 corre-lation characteristics include part-time jobseekers, reentrants, persons un-employed for less than 5 weeks and from 5 to 14 weeks.
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The average of the 2 quarters is 11,400,000.
Step 2. Obtain the a and b parameters as above and usethe formula for sx to compute an approximate standard er-ror for the estimate of 11,400,000, treating it as an estimatefor a single month.
Sx = ^(-0.000125300X11,400,000)2 + (3139.26X11,400,000) = 140,000
Step 3. Multiply this result by the factor .84 from table
1-H (column labeled "Change in quarterly averages" androw labeled "Labor force and not-in-labor-force data otherthan agricultural employment and unemployment, Black").This gives an approximate standard error of 118,000 on theestimated 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 changein quarterly averages is significant.
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, andpercentages for year-to-year change of monthly estimates, quarterly averages, change in quarterly averages, yearly averages, andchange in yearly averages
Characteristic
Agricultural employment:
Total or menWomenBoth sexes, 16 to 19 yearsPart time
Unemployment:
TotalPart time
Labor force and not-in-labor-forcedata other than agriculturalemployment and unemployment:
Total or whiteBlackHispanic originBoth sexes, 16 to 19 yearsPart time
Factor
Year-to yearchange of monthly
estimate
1.301.301.301.40
1.401.40
1.301.301.301.301.40
Quarterlyaverages
0.92.82.78.80
.74
.67
.87
.87
.87
.79
.82
Change inquarterlyaverages
0.70.84.88.80
.88
.88
.85
.84
.80
.88,90
Yearlyaverages
0.79.57.49.59
.46
.42
.65
.65
.65
.54
.51
Change inyearly
averages
0.70.70.70.70
.65
.54
.70
.70
.70
.70
.60
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Establishment Data("B" tables)
COLLECTION
BLS cooperates with State employment security agen-cies in the Current Employment Statistics (CES) or estab-lishment survey to collect data each month on employment,hours, and earnings from a sample of nonfarm establish-ments (including government). This sample includes about390,000 reporting units. From these data, a large numberof employment, hours, and earnings series in considerableindustry and geographic detail are prepared and publishedeach month. Historical statistics can be found in Employ-ment, Hours, and Earnings, United States, and Employ-ment, Hours, and Earnings, States and Areas. These dataare also available in machine-readable format and on theINTERNET.
Each month, the State agencies collect data on employ-ment, payrolls, and paid hours from a sample of establish-ments. Data are collected by mail from most respondents;phone collection is used to obtain higher response ratesfrom selected respondents through computer-assisted in-terviews, touch-tone self-response, and voice recognitiontechnology.
The respondents extract the requested data from theirpayroll records, which must be maintained for a variety oftax and accounting purposes. All firms with 250 employ-ees or more are asked to participate in the survey, as wellas a sample of smaller firms.
A "shuttle" schedule (BLS form 790 series) is used formail respondents. It is submitted each month by the re-spondents, edited by the State agency, and returned to therespondent for use again the following month
The technical characteristics of the shuttle schedule areparticularly important in maintaining continuity and con-sistency in reporting from month to month. The shuttle de-sign automatically exhibits the trends of the reported datacovered by the schedule during the year; therefore, the re-lationship of the current data to the data for the previousmonths is shown. The schedule also has operational advan-tages. For example, accuracy and economy are achievedby entering the identification codes and the address of thereporter only once a year.
All schedules are edited by the State agencies each monthto make sure that the data are correctly reported and that theyare consistent with the data reported by the establishment inearlier months and with the data reported by other establish-ments in the industry. The State agencies forward the data,either on the schedules themselves or in machine-readableform, to BLS-Washington. They also use the information pro-vided on the forms to develop State and area estimates ofemployment, hours, and earnings. At BLS, the data are editedagain by computer to detect processing and reporting errorswhich may have been missed in the initial State editing; theedited data are used to prepare national estimates.
It should be noted that for employment, the sum of theState figures will differ from the official U.S. national to-tals because of the effects of differing industrial and geo-graphic stratification and differences in the timing of bench-mark adjustments.
CONCEPTS
Industrial classificationEstablishments reporting on Form BLS 790 are classi-
fied into industries on the basis of their principal productor activity determined from information on annual salesvolume. Since January 1980, this information is collectedon a supplement to the quarterly unemployment insurancetax reports filed by employers. For an establishment mak-ing more than one product or engaging in more than oneactivity, the entire employment of the establishment is in-cluded under the industry indicated by the principal prod-uct or activity.
All data on employment, hours, and earnings for the Na-tion (beginning with August 1990 data) and for States andareas (beginning with January 1990 data) are classified inaccordance with the 1987 Standard Industrial Classifica-tion Manual (SIC), Office of Management and Budget.
Industry employmentEmployment data, except those for the Federal Govern-
ment, refer to persons on establishment payrolls who re-ceived pay for any part of the pay period which includesthe 12th day of the month. For Federal Government estab-lishments, employment figures represent the number ofpersons who occupied positions on the last day of the cal-endar month. Intermittent workers are counted if they per-formed any service during the month.
The data exclude proprietors, the self-employed, unpaidvolunteer or family workers, farm workers, and domesticworkers. Salaried officers of corporations are included.Government employment covers only civilian employees;military personnel are excluded. Employees of the CentralIntelligence Agency and the National Security Agency arealso excluded.
Persons on establishment payrolls who are on paid sickleave (when pay is received directly from the firm), on paidholiday, on paid vacation, or who work during a part of thepay period even though they are unemployed or on strikeduring the rest of the period are counted as employed. Notcounted as employed are persons who are on layoff, onleave without pay, on strike for the entire period, or whowere 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 arecalculated from 356 seasonally adjusted employment se-ries (3-digit industries) covering all nonfarm payroll em-ployment in the private sector. The manufacturing diffu-sion indexes are based on 139 3-digit industries.
To derive the indexes, each component industry is as-signed a value of 0, 50, or 100 percent, depending onwhether its employment showed a decrease, no change, oran increase, respectively, over the time span. The averagevalue (mean) is then calculated, and this percent is the dif-fusion index number.
The reference point for diffusion analysis is 50 percent,the value which indicates that the same number of compo-nent industries had increased as had decreased. Index num-bers above 50 show that more industries had increasingemployment, and values below 50 indicate that more haddecreasing employment. The margin between the percentthat increased and the percent that decreased is equal to thedifference between the index and its complement, i.e., 100minus the index. For example, an index of 65 percent meansthat 30 percent more industries had increasing employmentthan had decreasing employment (65-( 100-65) = 30). How-ever, for dispersion analysis, the distance of the index num-ber from the 50-percent reference point is the most signifi-cant observation.
Although diffusion indexes are commonly interpreted asshowing the percent of components that increased over thetime span, it should be remembered that the index reflectshalf of the unchanged components as well. (This is the ef-fect of assigning a value of 50 percent to the unchangedcomponents when computing the index.)
Industry hours and earningsAverage hours and earnings data are derived from re-
ports of payrolls and hours for production and related work-ers in manufacturing and mining, construction workers inconstruction, and nonsupervisory employees in private ser-vice-producing industries.
Production and related workers. This category includesworking supervisors and all nonsupervisory workers (in-cluding group leaders and trainees) engaged in fabricating,processing, assembling, inspecting, receiving, storing, han-dling, packing, warehousing, shipping, trucking, hauling,maintenance, repair, janitorial, guard services, product de-velopment, auxiliary production for plant's own use (e.g.,power plant), recordkeeping, and other services closely as-sociated with the above production operations.
Construction workers. This group includes the followingemployees in the construction division: Working supervi-sors, qualified craft workers, mechanics, apprentices, help-ers, laborers, etc., engaged in new work, alterations, demo-lition, repair, maintenance, etc., whether working at thesite of construction or working in shops or yards at jobs
(such as precutting and preassembling) ordinarily performedby members of the construction trades.
Nonsupervisory employees. These are employees (not abovethe working supervisory level) such as office and clericalworkers, repairers, salespersons, operators, drivers, physi-cians, lawyers, accountants, nurses, social workers, researchaides, teachers, drafters, photographers, beauticians, musi-cians, restaurant workers, custodial workers, attendants, lineinstallers and repairers, laborers, janitors, guards, and otheremployees at similar occupational levels whose servicesare closely associated with those of the employees listed.
Payroll. This refers to the payroll for full- and part-timeproduction, construction, or nonsupervisory workers whoreceived pay for any part of the pay period which includesthe 12th day of the month. The payroll is reported beforedeductions of any kind, e.g., for old-age and unemploy-ment 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); otherpay not earned in the pay period reported (e.g., retroactivepay); tips; and the value of free rent, fuel, meals, or otherpayment in kind are excluded. Employee benefits (such ashealth and other types of insurance, contributions to retire-ment, etc., paid by the employer) are also excluded.
Hours. These are the hours paid for during the pay periodwhich includes the 12th of the month for production, con-struction, or nonsupervisory workers. Included are hourspaid for holidays, vacations, and for sick leave when pay isreceived directly from the firm.
Overtime hours. These are hours worked by production orrelated workers for which overtime premiums were paidbecause the hours were in excess of the number of hours ofeither the straight-time workday or the workweek duringthe pay period which included the 12th of the month. Week-end and holiday hours are included only if overtime premi-ums were paid. Hours for which only shift differential, haz-ard, incentive, or other similar types of premiums were paidare excluded.
Average weekly hours. The workweek information relatesto the average hours for which pay was received and isdifferent from standard or scheduled hours. Such factors asunpaid absenteeism, labor turnover, part-time work, andstoppages cause average weekly hours to be lower thanscheduled hours of work for an establishment. Group aver-ages further reflect changes in the workweek of compo-nent industries.
Indexes of aggregate weekly hours. The indexes of aggre-gate weekly hours are prepared by dividing the currentmonth's aggregate by the average of the 12 monthly fig-
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ures for 1982. For basic industries, the hours aggregatesare the product of average weekly hours and productionworker or nonsupervisory worker employment. At all higherlevels of industry aggregation, hours aggregates are the sumof the component aggregates.
Average overtime hours. The overtime hours represent thatportion of the average weekly hours which exceeded regu-lar hours and for which overtime premiums were paid. Ifan employee were to work on a paid holiday at regularrates, receiving as total compensation his or her holidaypay plus straight-time pay for hours worked that day, noovertime hours would be reported.
Because overtime hours are premium hours by defini-tion, weekly hours and overtime hours do not necessarilymove in the same direction from month to month. Suchfactors as work stoppages, absenteeism, and labor turnovermay not have the same influence on overtime hours as onaverage hours. Diverse trends at the industry group levelalso may be caused by a marked change in hours for a com-ponent industry where little or no overtime was worked inboth the previous and current months.
Average hourly earnings. Average hourly earnings are on a"gross" basis. They reflect not only changes in basic hourlyand incentive wage rates but also such variable factors aspremium pay for overtime and late-shift work and changesin output of workers paid on an incentive plan. They alsoreflect shifts in the number of employees between relativelyhigh-paid and low-paid work and changes in workers9 earn-ings in individual establishments. Averages for groups anddivisions further reflect changes in average hourly earn-ings for individual industries.
Averages of hourly earnings differ from wage rates. Earn-ings are the actual return to the worker for a stated periodof time; rates are the amount stipulated for a given unit ofwork or time. The earnings series do not measure the levelof total labor costs on the part of the employer since thefollowing are excluded: Irregular bonuses, retroactiveitems, payments of various welfare benefits, payroll taxespaid by employers, and earnings for those employees notcovered under production worker, construction worker, ornonsupervisory employee definitions.
Average hourly earnings, including lump-sum wage pay-ments. These series are compiled only for aircraft (SIC 3721)and guided missiles and space vehicles (SIC 3761) manu-facturing. The same concepts and estimation methods ap-ply to these series as apply to the average hourly earningsseries described above; the one difference between the se-ries is definitional. The payroll data used to calculate thisseries include lump-sum payments made to productionworkers in lieu of general wage rate increases; such pay-ments are excluded from the definition of gross payrollsused 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 dataare adjusted to include a prorated portion of the lump-sumpayment. Such payments are generally made once a yearand cover the following 12-month period. In order to spreadthe payment across this time period, a prorated portion ofthe payment is added to the payroll each month. This pro-rated portion is adjusted by an exit rate to reduce the lump-sum amount to account for persons who received the pay-ment but left before the payment allocation period expired.
Average hourly earnings, excluding overtime. Averagehourly earnings, excluding overtime premium pay are com-puted by dividing the total production worker payroll forthe industry group by the sum of total production workerhours and one-half of total overtime hours. No adjustmentsare made for other premium payment provisions, such asholiday work, late-shift work, and overtime rates other thantime and one-half.
Railroad hours and earnings. The figures for Class I rail-roads plus Amtrak (excluding switching and terminal com-panies) are based on monthly data summarized in theM-300 report of the Interstate Commerce Commission andrelate to all employees except executives, officials, and staffassistants (ICC group I) who received pay during the month.Average hourly earnings are computed by dividing totalcompensation by total hours paid for. Average weekly hoursare obtained by dividing the total number of hours paid for,reduced to a weekly basis, by the number of employees.Average weekly earnings are derived by multiplying aver-age weekly hours by average hourly earnings.
Average weekly earnings. These estimates are derived bymultiplying average weekly hours estimates by averagehourly earnings estimates. Therefore, weekly earnings areaffected not only by changes in average hourly earningsbut also by changes in the length of the workweek. Monthlyvariations in such factors as the proportion of part-timeworkers, stoppages for varying reasons, labor turnover dur-ing the survey period, and absenteeism for which employ-ees are not paid may cause the average workweek to fluc-tuate.
Long-term trends of average weekly earnings can be af-fected by structural changes in the makeup of the workforce. For example, persistent long-term increases in theproportion of part-time workers in retail trade and many ofthe services industries have reduced average workweeks inthese industries and have affected the average weekly earn-ings series.
Real earnings. These earnings are in constant dollars andare calculated from the earnings averages for the currentmonth using a deflator derived from the Consumer PriceIndex 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 establish-ment survey estimates of employment are generated throughan annual benchmark and monthly sample link procedure.Annual universe counts or benchmark levels are generatedprimarily from administrative records on employees cov-ered by unemployment insurance (UI) tax laws. These an-nual benchmarks, established for March of each year, areprojected forward for each subsequent month based on thetrend of the sample employment, using an estimation pro-cedure called the link relative. Benchmarks and sample linkrelatives are computed for each of 1,703 basic estimationcells defined by industry, size, and geography for the CESnational estimates, and summed to create aggregate levelemployment estimates.
BenchmarksThe establishment survey constructs annual benchmarks
in order to realign the sample-based employment totals forMarch of each year with the Ul-based population countsfor March. These population counts are much less timelythan sample-based estimates; however, they provide anannual point-in-time census for employment.
Population counts are derived from the administrativefile of employees covered by UI. All employers covered byUI laws are required to report employment and wage infor-mation to the appropriate State employment security agencyfour times a year. Approximately 98 percent of in-scopeprivate employment is covered by UI. A benchmark for theremaining 2 percent is constructed from alternate sources,primarily records from the Interstate Commerce Commis-sion and the Social Security Administration. The full bench-mark developed for March replaces the March sample-basedestimate for each basic cell. The monthly sample-basedestimates for the year preceding and the year following thebenchmark are also then subject to revision.
Monthly estimates for the year preceding the Marchbenchmark are readjusted using a "wedge back" procedure.The difference between the final benchmark level and thepreviously published March sample estimate is calculatedand spread back across the previous 11 months. The wedgeis linear; eleven-twelfths of the March difference is addedto the February estimates, ten-twelfths to the January esti-mates, and so on, back to the previous April estimates whichreceive one-twelfth of the March difference. This assumesthat the total estimation error since the last benchmark ac-cumulated at a steady rate throughout the current bench-mark year.
Estimates for the 11 months following the March bench-mark are also recalculated each year. These post-bench-mark estimates reflect the application of sample-basedmonthly changes to new benchmark levels for March, andthe recomputadon of bias adjustment factors for each month.Bias factors are updated to take into account the most re-cent 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, aver-age hourly earnings) are also recalculated. New seasonaladjustment factors are calculated and all data series for theprevious 5 years are reseasonally adjusted, prior to full pub-lication of all revised data in June of each year.
Monthly estimationEstimates are derived from a sample of approximately
390,000 business establishments nationwide. A currentmonth's estimate is derived as the product of the previousmonth's estimate and a sample link relative for the currentmonth. A bias adjustment factor is then applied to this re-sult primarily to help account for new business births dur-ing the month.
Stratification. The sample is stratified into 1,703 basic es-timation cells for purposes of computing national employ-ment, hours, and earnings estimates. Cells are defined pri-marily by detailed industry, and secondarily by size for amajority of cells. In a few industries, mostly within theconstruction division, geographic stratification is also used.Industry classification is in accordance with the 1987 Stan-dard Industrial Classification Manual (SIC); most estima-tion cells are defined at the 4-digit SIC level.
This detailed stratification pattern allows for the produc-tion and publication of estimates in considerable industrydetail. Sub-industry stratification by size is important be-cause major statistics which the survey measures, particu-larly employment change and average earnings, often varysignificantly between establishments of different size. Strati-fication reduces the variance of the published industry levelestimates.
Link relative technique. A ratio of the previous to the cur-rent month's employment is computed from a sample ofestablishments reporting for both months—this ratio iscalled a "link relative." For each basic cell, a link relativeis computed and applied to the previous month's employ-ment estimate to derive the current month's estimate. Thusa March benchmark is moved forward to the next Marchbenchmark through application of monthly link relatives.Basic cell estimates created through the link relative tech-nique are aggregated to form published industry level esti-mates, for employment, as described in table 2-A. Basicestimation and aggregation methods for the hours and earn-ings data are also shown in table 2-A.
Bias adjustment. Bias adjustment factors are computed atthe 3-digit SIC level, and applied each month at the basiccell level, as part of the standard estimation procedures.The main purpose of bias adjustment is to reduce a pri-mary source of nonsampling error in the survey, the inabil-ity to capture, on a timely basis, employment generated bynew 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 nonsupervisory work-ers, women employees
Average weekly hours
Average weekly overtime hours
Average hourly earnings
Average weekly earnings
All employees, women employees,and production or nonsupervisoryworkers
Average weekly hours
Average weekly overtime hours
Average hourly earnings
Average weekly earnings
Basic estimating cell (industry, region,size or region/size cell)
Aggregate industry level (divisionand, where stratified, industry)
Monthly data
All-employee estimate for previous month multi-plied by ratio of all employees in current monthto all employees in previous month, for sampleestablishments which reported for both months.1
All-employee estimate for current month multi-plied by (1) ratio of production or nonsupervisoryworkers to all employees in sample establish-ments for current month, (2) estimated ratio ofwomen to all employees.2
Production or nonsupervisory worker hours di-vided by number of production or nonsupervisoryworkers.2
Production worker overtime hours divided bynumber of production workers.2
Total production or nonsupervisory worker pay-roll divided by total production or nonsupervisoryworker hours.2
Product of average weekly hours and averagehourly earnings.
Sum of all-employee estimates for componentcells.
Sum of production or nonsupervisory worker es-timates, or estimates of women employees, forcomponent cells.
Average, weighted by production ornonsupervisory worker employment, of the av-erage weekly hours for component cells.
Average, weighted by production worker em-ployment, of the average weekly overtime hoursfor component cells.
Average, weighted by aggregate hours, of theaverage hourly earnings for component cells.
Product of average weekly hours and averagehourly earnings.
Annual average data
Sum of monthly estimates divided by 12.
Annual total of aggregate hours (production ornonsupervisory worker employment multiplied byaverage weekly hours) divided by annual sum ofemployment.
Annual total of aggregate overtime hours (pro-duction worker employment multiplied by aver-age weekly overtime hours) divided by annualsum of employment.
Annual total of aggregate payrolls (product of pro-duction or nonsupervisory worker employment byweekly hours and hourly earnings) divided byannual aggregate hours.
Product of average weekly hours and averagehourly earnings.
Sum of monthly estimates divided by 12.
Annual total of aggregate hours for productionor nonsupervisory workers divided by annualsum of employment for these workers.
Annual total of aggregate overtime hours for pro-duction workers divided by annual sum of em-ployment for these workers.
Annual total of aggregate payrolls divided byannual aggregate hours.
Product of average weekly hours and averagehourly earnings.
1 The estimates are computed by multiplying the above product bybias adjustments factors, which compensate for theunderrepresentation of newly formed enterprises and other sourcesof bias in the sample.
2 The sample production-worker ratio, women-worker ratio, aver-age weekly hours, average overtime hours, and average hourly earn-
ings are modified by a wedging technique designed to compensatefor changes in the sample arising mainly from the voluntary charac-ter of the reporting. The wedging procedure accepts the advantageof continuity from the use of the matched sample and, at the sametime, tapers or wedges the estimate toward the level of the latestsample average.
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establishment opening for business and its appearing onthe UI universe frame and being available for sampling.Because new firms generate a portion of employmentgrowth each month of the year, nonsampling methods mustbe used to capture this growth, otherwise substantial underestimation of total employment levels would occur. For-mal bias adjustment procedures have been used by the es-tablishment survey since the late 1960's. Prior to the 1983benchmark, bias adjustments were derived from a simplemean error model, which averaged undercount errors forthe previous 3 years to arrive at bias projections for thecoming year. The undercount errors were measured as thedifference between sample-based estimate results andbenchmark levels.
This procedure eventually proved inadequate during pe-riods of rapidly changing employment trends, and the biasadjustment methodology was revised. Research done in theearly 1980's indicated that bias requirements were stronglycorrelated with current employment growth or decline.Based on this research, a revised method was developedwhich incorporated the sample data on employment growthover the most recent two quarters, and a regression-derivedcoefficient for the significance of that change, to adjust themean error model results. This change in methodology pro-vided a more cyclically sensitive bias model. The regres-sion-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 toreact to changing economic conditions or changing errorstructure relationships between the sample-based estimatesand the UI universe counts. A principal limitation is theinability to incorporate UI universe counts as they becomeavailable on an ongoing basis, with a 6- to 9-month lagfrom the reference period. Thus, the current quarterly out-puts from the model are subject to intervention analysis,and adjustments can be made to its results, prior to the es-tablishment of final bias levels for a quarter. Review is doneprimarily in terms of detection of outlier (i.e. abnormallyhigh or low) values, and by comparison of CES sample andbias trends with the most recent quarterly observations ofUI universe counts. The BLS currently has under study im-proved bias models utilizing a Kalman filter technique,which would allow a more formal, structured incorpora-tion of each quarter's UI universe counts in the bias model-ing process.
Although the primary function of bias adjustment is toaccount for employment resulting from new business for-mations, it also adjusts for other elements of nonsamplingerror in the survey, because the primary input to the model-ing procedure is total estimation error. Significant amongthese nonsampling error sources is a business death bias.When a sampled firm closes down, most often it simplydoes not respond to the survey that month, rather than re-porting zero employment. Followup with nonrespondentsmay reveal an out-of-business firm, but this information isoften received too late to incorporate into monthly esti-
mates, and the firm is simply treated as a nonrespondentfor that month.
Because the bias adjustments incorporated into the esti-mates represent a composite of a birth bias, death bias, anda number of other differences between the sample-basedestimates and the population counts, the monthly bias ad-justment levels have no specific economic meaning in andof themselves.
Table 2-B summarizes bias adjustments for the 1985-95period. The table displays the average monthly "bias added"and the average monthly "bias required" with the bench-mark revisions for each year. Bias added shows the aver-age amount of bias which was added each month over thecourse of an interbenchmark period. For example, the biasadded for 1995 is listed as 144,000; this represents the av-erage of bias adjustments made each month over the pe-riod April 1994 through March 1995. Bias required is com-puted retrospectively, after the March benchmark for a givenyear is known. Bias required figures are calculated by tak-ing the difference between a March estimate derived purelyfrom the sample (i.e. a series calculated without bias ad-justment) and the March benchmark. Dividing this figureby 12 gives the average monthly bias required figure. Thebias required is thus defined as the amount of bias adjust-ment which would have achieved a zero benchmark error.The difference between the total bias required and the totalbias added is then, by definition, approximately the bench-mark revision amount, for any given year. Also provided inthe table for illustration, are the March-to-March changes.As discussed above, the over-the-year changes indicate cor-relation with the bias added and bias required figures.
THE SAMPLE
DesignThe emphasis in the establishment survey is on produc-
ing timely data at minimum cost. Therefore, the primarygoal of its design is to sample a sufficiently large segmentof the universe to provide reliable estimates that can bepublished both promptly and regularly. The present sampleallows BLS to produce preliminary total nonfarm employ-ment estimates for each month, including some limited in-dustry detail, within 3 weeks after the reference period,and data in considerably more detail with an additional 1-month lag.
The CES survey, which began over 50 years ago. pre-dates the introduction of probability sampling methods andhas operated as a quota sample since its inception.
The sampling plan used is a form of sampling with prob-ability proportionate to size, known as "sampling propor-tionate to average size of establishment". This is an opti-mum allocation design among strata because sampling vari-ance is proportional to the average size of establishments.The universe of establishment employment is highlyskewed, with a large percentage of total employment con-centrated in relatively few establishments. Because vari-
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ance on a population total estimate is a function of percent-age universe coverage achieved by the sample, it is effi-cient to sample larger establishments at a higher rate thansmaller establishments, assuming the cost per sample unitis fairly constant across size classes.
Under the survey design, large establishments fall into acertainty strata for sample selection. The size of the samplefor the various industries is determined empirically on thebasis of experience and cost considerations. For example,in a manufacturing industry with a high proportion of totalemployment concentrated in a small number of establish-ments, a larger percent of total employment is included inthe sample. Consequently, the sample design for such in-dustries provides for a complete census of the large estab-lishments, with a relatively few chosen from among thesmaller establishments. For an industry in which a largeproportion of total employment is concentrated in small es-tablishments, the sample design again calls for inclusion ofall large establishments but also for a more substantial num-ber of smaller ones. Many industries in the trade and ser-vices divisions fall into this category. To keep the sample toa size which can be handled by available resources, it isnecessary to have a sample design for these industries witha smaller proportion of total universe coverage than is thecase for most manufacturing industries.
CoverageThe establishment survey is the largest monthly sam-
pling operation in the field of social statistics. Table 2-Cshows the latest benchmark employment levels and theapproximate proportion of total universe employment cov-erage, at the total nonfarm and major industry division lev-els. The coverage for individual industries within the divi-sions may vary from the proportions shown.
ReliabilityThe establishment survey, lik? ther sample surveys, is
subject to two types of error, sampling and nonsampling er-ror. The magnitude of sampling error, or variance, is directlyrelated to the size of the sample and the percentage of uni-verse coverage achieved by the sample. The establishmentsurvey sample covers over one-third of total universe em-ployment; this yields a very small variance on the total non-farm estimates. Measurements of error associated withsample estimates are provided in tables 2-D through 2-G.
Benchmark revision as a measure of survey error. The sumof sampling and nonsampling error can be considered totalsurvey error. Unlike most sample surveys which publishsampling error as their only measure of error, the CES canderive an annual approximation of total error, on a laggedbasis, because of the availability of the independently de-rived universe data. While the benchmark error is used as ameasure of total error for the CES survey estimate, techni-cally, it actually represents the difference between two in-dependent 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. His-torically, the benchmark revision has been very small fortotal nonfarm employment. Over the past decade, percent-age benchmark error has averaged 0.2 percent, with a rangefrom zero to 0.7 percent. Table 2-D shows the most currentbenchmark revisions, along with 10-year mean revisionsand mean absolute revisions for major industries. Mean re-visions give an indication of bias in the estimates; unbiasedestimates have a mean revision close to zero, as over andunder estimations cancel out over time. Mean absolute re-visions give an overall indicator as to the accuracy of the
Table 2-B. March employment benchmarks and bias adjustments for total private industries, March 1985-95(In thousands)
YearBenchmark
Employment1 Revision2
Average monthly bias
Added3 Required4
Over-the-yearemployment
change5
1985...1986...1987...1988...1989...
1990...1991 ...1992...1993...1994...1995...
79,44681,20483,17386,18089,015
90,54688,79088,34789,79092,73096,175
-131-400
21-310
-93
-261-583-130288688511
15214998
114131
85613383
115144
1411169988
123
631222
107171187
3,0751,7581,9693,0072,835
1,531-1,756
-4431,4432,9403,445
1 Universe counts for March of each year are used to make annualbenchmark adjustments to the employment estimates. About 98 per-cent of the benchmark employment is from unemployment insuranceadministrative records, and the remaining 2 percent is from alternatesources. Data represent benchmark levels as originally computed.
2 Difference between the final March sample-based estimate andthe benchmark level for total private employment.
3 The average amount of bias adjustment each month over the
course of an inter-benchmark period, i.e., from April of the prior yearthrough March of the given year.
4 The difference between the March benchmark and the March es-timate derived solely from the sample without bias adjustment, con-verted 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.
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estimates; the larger the value, the further the estimate wasfrom the final benchmark level.
Estimated standard errors for employment, hours, and earn-ings. The hours and earnings estimates for the basic esti-mating cells do not have universe data sources availableand therefore are not subject to benchmark revisions, al-though the broader groupings may be affected slightly bychanges in employment weights. Like the employment es-timates, the hours and earnings estimates are also subjectto sampling and nonsampling errors. Estimates of the sam-pling error for employment, hours, and earnings were com-puted using the method of random groups and are expressedas relative standard errors (standard error divided by theestimate). Relative standard errors for individual industrieswith the specified number of employees are presented intable 2-E and for major industries in table 2-F. Multiplyingthe relative standard error by its estimated value gives theestimate of the standard error. The errors presented hereare based on averages observed from sample data over theMarch 1994 through March 1995 period.
Standard errors for differences between industries and times.The standard error of a difference is required to test forsignificant differences between estimates from two differ-ent industries. Since the estimates for the two industriesare independent, the standard error of a difference is thesquare root of the sum of the estimated variance of eachestimate, S{
2 and S22.
S difference =
The CES sample overlaps almost entirely from month tomonth, so monthly estimates are not independent. The co-variance between these estimates must be accounted forwhen testing the significance of the change in estimatesover time. The standard error of the change can be esti-mated as follows.
S change = Vs? + S2 "~ 2Psis2
If Si = S2, then:
S change =
Conservative estimates of p after one month are 0.8 foremployment, 0.6 for average weekly hours, and 0.8 foraverage hourly earnings.
If the bias is small, then the standard error can be used toconstruct approximate confidence intervals or range of val-ues that include the true population value. If the process ofselecting a sample from the population were repeated many
times and an estimate and its standard error calculated foreach sample, then approximately 68 percent of the inter-vals from one standard error below the estimate to one stan-dard error above the estimate would include the true popu-lation value.
Noneconomic code changes. A major source of benchmarkrevision at the major industry division level and below arenoneconomic code changes, which are introduced into theuniverse data in the first quarter of each calendar year.
Approximately one-third of all establishments in the uni-verse are included in the universe program's annual Stan-dard Industrial Classification (SIC) refiling survey. Cor-rections to individual establishments' SIC and ownershipcodes are made through this process. The refiling cycle issuch that every third year entire division(s) are subject torefiling. The volume of these adjustments is generally quitelarge and has a substantial impact on universe employmentcounts at the industry levels, although the total nonfarmemployment level remains unaffected. For example, in ayear when the services division is refiled, a substantial
Table 2-C. Employment benchmarks and approximate coverageof BLS employment and payrolls sample, March 1995
(Numbers in thousands)
Industry
Total
MiningConstructionManufacturingTransportation andpublic utilities
Wholesale trade..Retail tradeFinance, insurance,and real estate...
ServicesGovernment:
FederalStateLocal
Bench-marks
115,849
5764,748
18,460
6,0666,316
20,627
6,77032,612
2,8224,777
12,075
Sample coverage1
Number ofestablish-
ments
329,162
3,60526,68059.882
217,11126,17765,892
24,69979,479
(3)6,122
19,515
Employees
Number
44,856
247950
9,261
2,4041,1445,043
2,2068,275
2,8224,0138,491
Percentof
bench-marks
39
432050
401824
3325
1008470
Counts reflect reports used in final estimates. Because not allestablishments report payroll and hours information, hours and earn-ings estimates are based on a smaller sample than employment es-timates.
2 The Interstate Commerce Commission provides a complete countof employment for Class I railroads plus Amtrak. A small sample isused to estimate hours and earnings data.
'Total Federal employment counts by agency for use in nationalestimates are provided to BLS by the Office of Personnel Manage-ment. Detailed industry estimates for the Executive Branch, as wellas State and area estimates of Federal employment, are based on asample of 5,586 reports covering about 58 percent of employment inFederal establishments.
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Table 2-D. Current (March 1995) and historical benchmark revisions(Numbers in thousands)
Industry
March 1995benchmark revision
Level
542
511
-19
10
-231
-75-4010
-46
55
53
69
-3-413
1511-10
39346
-7-4
2
-52
10154
-14-11
13
-3
561
-43-18
0-20-121117-2
-12-25-32
5
735518
Percent
0.5
.5
-.1
.20
-1.9.9
1.0
-1.6-3.51.5
-1.6
.3
.5
.81.7-.6-.6.4.2.7
3.2-.1
02.23.51.3-.8
-1.0
(2)
-.35.01.51.6.6
-.9-1.1
.7
.3-2.8
.6
-.7-.5
0-4.7-.76.52.2
-13.3-2.9-1.1-2.4
.5
1.21.5.7
10-year averagemean percent revision1
Actual
0
0
-0.3
-1.4-2.4
-.9-1.7
-.4
-.8-.6.2
-1.1
-.1
0
-.2.3.1
-.40
-.1-.4-.2-.7-.51.11.6.9
-.20
-.2
-.2-.6
0-.2.1
-.5-.2-.3.2
-.7
0
-.2-.4-.7.5
-.20
-.80
-1.2.1.2
-.1
-.4-.6-.2
Absolute
0.3
.4
.8
1.82.81.92.51.6
1.42.41.91.6
.7
.7
1.71.1.8
1.01.5.9
1.22.41.11.81.11.61.31.81.5
.7
.94.7
.81.3.7.9.8
1.81.52.6
.3
.91.31.22.21.54.01.94.52.9
.81.3.7
1.31.61.0
Total
Total private ,
Goods-producing
MiningMetal miningCoalminingOil and gas extractionNonmetallic minerals, except fuels
ConstructionGeneral building contractorsHeavy construction, except buildingSpecial trade contractors
Manufacturing
Durable goods
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steel products....Fabricated metal productsIndustrial machinery and equipment
Computer and office equipmentElectronic and other electrical equipment
Electronic components and accessories ...Transportation equipment
Motor vehicles and equipmentAircraft and parts
Instruments and related productsMiscellaneous manufacturing
Nondurable goods
Food and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and miscellaneous plastics productsLeather and leather products
Service-producing
Transportation and public utilitiesTransportation
Railroad transportationLocal and internrban passenger transitTrucking and warehousingWater transportationTransportation by airPipelines, except natural gasTransportation services
Communications and public utilitiesCommunicationsElectric, gas, and sanitary services
Wholesale tradeDurable goodsNondurable goods
See footnotes at end of table.
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Table 2-D. Current (March 1995) and historical benchmark revisions—Continued(Numbers in thousands)
Industry
March 1995benchmark revision
Level
32717
120110
7-20-632-3
13341
-120-79-31-25
-9-25-25
-8-16
-54
-9-36
293-4424
1349
584928-714
-96-32-2814-1
-3713-9906142
5-272371192
3100
412220
-10-3424
Percent
1.62.04.74.9
.2-.9-.6
2.9-.31.91.6
-1.8-2.4-1.5-1.7-3.2-5.5
-12.6-1.5-7.1
-.2.3
-1.3-2.7
.9-.82.6
.32.01.02.52.32.7-.7
4.0-20.0
-2.5-.3.9
-.1-1.02.1
-1.04.32.67.3
.8-2.73.41.41.41.24.7
200.9
1.1.7
-.1-.5.5
10-year averagemean percent revision1
Actual
.4
.52.22.8-.4
-1.2-.41.1-.7.6.2
-.3-.7
-1.1-.5
-4.7.5.7.1
-1.8.4.7
-.2-.5
.12.4
.7
.5
.3
.91.41.7
-1.1-1.1-1.3-1.9
.5-.8
-1.4-.9-.71.0-.21.3-.6
-2.70
1.52.6
.5-1.02.3-.5
000.3.6.1
-.1-.2
0
Absolute
.71.62.73.5
.91.21.11.61.21.2.9
1.11.21.5.8
6.92.05.41.34.71.21.51.81.6
.62.61.51.51.71.93.93.32.81.54.84.63.0
.92.01.1.8
2.91.43.11.95.01.72.83.21.61.93.51.4
.300.6.9.6.3.4.4
Retail tradeBuilding materials and garden suppliesGeneral merchandise stores
Department storesFood storesAutomotive dealers and service stations
New and used car dealersApparel and accessory storesFurniture and home furnishings storesEating and drinking placesMiscellaneous retail establishments
Finance, insurance, and real estateFinance
Depository institutionsCommercial banksSavings institutions3
Nondepository institutionsMortgage bankers and brokers
Security and commodity brokersHolding and other investment offices
InsuranceInsurance carriersInsurance agents, brokers, and service
Real estate
Services4
Agricultural servicesHotels and other lodging placesPersonal servicesBusiness services
Services to buildingsPersonnel supply services
Help supply services3
Computer and data processing servicesAuto repair, services, and parkingMiscellaneous repair servicesMotion picturesAmusement and recreation servicesHealth services
Offices and clinics of medical doctorsNursing and personal care facilitiesHospitalsHome health care services3
Legal servicesEducational services ,Social services
Child day care servicesResidential care
Museums and botanical and zoological gardensMembership organizationsEngineering and management services3
Engineering and architectural servicesManagement and public relations3
Services, nee
Government .'.Federal
Federal, except Postal ServiceState
EducationOther State government
LocalEducationOther local government
1 Data relate to the 1985-94 benchmarks, as originally published,unless otherwise noted.
2 Less than 0.05 percent.
3 Data relate to 1989-95.4 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)
Size of employmentestimate
50,000100,000...200,000...500,000...1,000,0002,000,000
Employment
1.41.1.8.6.4.3
Averageweeklyhours
1.91.51.2.9.7.6
Averagehourly
earnings
3.22.62.21.71.31.1
1 Relative errors were estimated with sample data from March1994-March1995.
Table 2-F. Relative standard errors1 for estimates of employment,hours, and earnings by industry
(In percent)
Industry
Total privateMiningConstructionManufacturing
Durable goodsNondurable goods
Transportation andpublic utilities
Wholesale tradeRetail tradeFinance, insurance,and real estate
Services
Employment
0.1.8.4.1.1.1
.3
.2
.1
.2
.2
Averageweeklyhours
0.1.6.1.1.1.1
.5
.2
.1
.2
.2
Averagehourly
earnings
0.21.1
.3
.4
.5
.5
1.0.4.3
.7
.4
Relative errors were estimated with sample data from March1994-March1995.
amount of employment is usually reclassified out of ser-vices to other major divisions, thus, lowering the bench-mark level for services, and potentially causing a signifi-cant downward revision in the services employment totalspreviously published.
Revisions between preliminary and final data. First pre-liminary estimates of employment, hours, and earnings,based on less than the total sample, are published immedi-ately following the reference month. Final revised sample-
based estimates are published 2 months later when nearlyall the reports in the sample have been received. Table 2-Gpresents the root-mean-square error, the mean percent, andthe mean absolute percent revision that may be expectedbetween the preliminary and final employment estimates.
Revisions of preliminary hours and earnings estimatesare normally not greater than 0.1 of an hour for weeklyhours and 1 cent for hourly earnings, at the total privatenonfarm level, and may be slightly larger for the more de-tailed 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 sameestablishment reports used by BLS, however, BLS uses thefull CES sample to produce monthly national employmentestimates, while each State agency uses its portion of thesample to independently develop a State employment esti-mate.
The CES area statistics relate to metropolitan areas. Defi-nitions for all areas are published each year in the issue ofEmployment and Earnings that contains State and area an-nual averages (usually the May issue). Changes in defini-tions are noted as they occur. Additional industry detailmay be obtained from the State agencies listed on the in-side back cover of each issue.
Caution in aggregating State data. The national estima-tion procedures used by BLS are designed to produce ac-curate national data by detailed industry; correspondinglythe State estimation procedures are designed to produceaccurate data for each individual State. State estimates arenot forced to sum to national totals nor vice versa. Becauseeach State series is subject to larger sampling andnonsampling errors than the national series, summing themcumulates individual State level errors and can cause dis-tortions at an aggregate level. This has been a particularproblem at turning points in the U.S. economy, when themajority of the individual State errors tend to be in thesame direction. Due to these statistical limitations, theBureau does not compile or publish a "sum-of-States" em-ployment series. Additionally, BLS cautions users that sucha series is subject to a relatively large and volatile errorstructure, particularly at turning points.
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Table 2-G. Errors of preliminary employment estimates
Industry Root-mean-square errorof monthly level1
Mean percent revision
Actual Absolute
Total
Total private
Goods-producing
MiningMetal miningCoal miningOil and gas extractionNonmetallic minerals, except fuels
ConstructionGeneral building contractorsHeavy construction, except buildingSpecial trade contractors
Manufacturing
Durable goods
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industries
Blast furnaces and basic steel productsFabricated metal productsIndustrial machinery and equipment
Computer and office equipmentElectronic and other electrical equipment
Electronic components and accessories....Transportation equipment
Motor vehicles and equipmentAircraft and parts
Instruments and related productsMiscellaneous manufacturing
Nondurable goods
Food and kindred productsTobacco productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and miscellaneous plastics productsLeather and leather products
Service-producing
Transportation and public utilitiesTransportation
Railroad transportationLocal and interurban passenger transitTrucking and warehousingWater transportationTransportation by airPipelines, except natural gasTransportation services
Communications and public utilitiesCommunicationsElectric, gas, and sanitary services
Wholesale tradeDurable goodsNondurable goods
65,200
54,300
15,500
2,200400900
2,200400
9,6004,2003,9006,200
11,000
7,500
1,3001,3001,2001,8001,5002,1002,5001,2002,4001,3004,0003,6001,4002,0001,300
5,900
3,400400
1,3002,5001,2001,8001,7001,0001,700
700
60,400
8,9007,7002,4003,9005,2002,0002,400
2001,2004,8004,5001,900
7,4003,9005,000
-0.10
-.1-.1
0
.1
.1
.1
.1
.1000
-.1000.100.1000
-.100.10.1-.1-.100
..1-.1-.2-.1-.10
-.1-.4-.1000
.10.1
0.1
.3
.5
.5
.4
.3
.2
.3
.4
.2
0
.1
.1
.2
.2
.2
.4
.1
.1
.3
.1
.2
.2
.3
.2
.2
.3
.2
.7
.1
.2
.1
.1
.1
.4
.1
.5
.1
.2
.7
.6
.2
.9
.3
.8
.3
.2
.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 errorof monthly level1
Mean percent revision
Actual Absolute
Retail tradeBuilding materials and garden suppliesGeneral merchandise stores
Department storesFood storesAutomotive dealers and service stations
New and used car dealersApparel and accessory storesFurniture and home furnishings storesEating and drinking placesMiscellaneous retail establishments
Finance, insurance, and real estateFinance
Depository institutionsCommercial banksSavings institutions
Nondepository institutionsMortgage bankers and brokers
Security and commodity brokersHolding and other investment offices
InsuranceInsurance carriersInsurance agents, brokers, and service
Real estate
Services2
Agricultural servicesHotels and other lodging placesPersonal servicesBusiness services
Services to buildingsPersonnel supply services
Help supply servicesComputer and data processing services
Auto repair, services, and parkingMiscellaneous repair servicesMotion picturesAmusement and recreation servicesHealth services
Offices and clinics of medical doctorsNursing and personal care facilitiesHospitalsHome health care services
Legal servicesEducational servicesSocial services
Child day care servicesResidential care
Museums and botanical and zoological gardensMembership organizationsEngineering and management services
Engineering and architectural servicesManagement and public relations
Services, nee
GovernmentFederal
Federal, except Postal ServiceState
EducationOther State government
LocalEducationOther local government
34,3002,500
16,20015,2006,3002,9001,3005,9004,000
13,0008,600
6,8004,1003,0002,5001,2001,4001,0001,0001,7003,1002,7001,0003,000
30,9003,2006,1008,700
13,0003,000
10,5009,8002,4001,9001,2005,900
12,6005,2002,9002,0003,0001,6001,100
12,5007,9004,2001,400
7003,9004,5002,3002,600
400
27,70011,60010,70012,70011,5006,000
21,20018,00013,500
.10.1.10
-.1-.1.20.1.1
00
-.1-.1
0000
-.100.10
0.1.1
-.1.10.2.100
-.1-.1.40.100.100.1.30.1000.1.1
.1
.1
.1000.1.10
.1
.2
.5
.5
.1
.1
.1
.4
.3
.2
.3
.1
.1
.1
.1
.2
.2
.4
.2
.5
.1
.1
.1
.2
.1
.5
.3
.5
.2
.3
.4
.4
.2
.2
.3
.9
.8
.1
.1
.1
.1
.3
.1
.6
.3
.6
.2
.7
.2
.1
.2
.3
.8
.1
.3
.4
.2
.5
.2
.1
.2
.2
1 The root-mean-square error is the square root of the meansquared error. The mean squared error is the square of the differ-ence between the final and preliminary estimates averaged acrossa series of monthly observations.
2 Includes other industries, not shown separately.
NOTE: Errors are based on differences from January 1991through December 1995.
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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 underFederal assistance programs are developed by State employ-ment security agencies under a Federal-State cooperativeprogram. The local unemployment estimates which derivefrom standardized procedures developed by BLS are thebasis for determining eligibility of an area for benefitsunder Federal programs such as the Job Training Partner-ship Act.
Annual average data for the States and over 270 areasshown in table C-3 are published in Employment and Earn-ings (usually the May issue). For regions, States, selectedmetropolitan areas, and central cities, annual average dataclassified by selected demographic, social, and economiccharacteristics are published in the BLS bulletin, GeographicProfile of Employment and Unemployment.
Labor force estimates for counties, cities, and other smallareas have been prepared for administration of various Fed-eral economic assistance programs and may be ordered fromthe Superintendent of Documents, U.S. Government Print-ing Office, Washington, DC 20402. The report "Unemploy-ment in States and Local Areas" is published monthlythrough GPO and is available in microfiche form only, on asubscription basis.
ESTIMATING METHODS
Monthly labor force, employment, and unemploymentestimates are prepared for the 50 States, the District of Co-lumbia, 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 (andthe District of Columbia) and for sub-State areas. At thesub-LMA (county and city) level, estimates are preparedusing disaggregation techniques based on decennial andannual population estimates and current unemployment in-surance data. A more detailed description of the estimationprocedure is contained in the BLS document, Manual forDeveloping Local Area Unemployment Statistics.
Estimates for States
Current monthly estimates. Effective January 1996, civil-ian labor force and unemployment estimates for all Statesand the District of Columbia are produced using modelsbased on a "signal-plus-noise" approach. The model of thesignal is a time series model of the true labor force whichconsists of three components: A variable coefficient
regression, a flexible trend, and a flexible seasonal compo-nent. The regression techniques are based on historical andcurrent relationships found within each State's economy asreflected in the different sources of data that are availablefor each State—the Current Population Survey (CPS), theCurrent Employment Statistics (CES) survey, and the un-employment insurance (UI) system. The noise componentof the models explicitly accounts for auto correlation in theCPS sampling error and changes in the average magnitudeof the error. In addition, the models can identify and re-move the effects of outliers in the historical CPS series.While all the State models have important components incommon, they differ somewhat from one another to betterreflect individual State characteristics.
Two models—one for the employment-to-population ratioand one for the unemployment rate—are used for each State.The employment-to-population ratio, rather than theemployment level, and the unemployment rate, rather thanthe unemployment level, are estimated primarily becausethese ratios are usually more meaningful for economicanalysis.
The employment-to-population ratio models use the re-lationship between the State's monthly employment fromthe CES and the CPS. The models also include trend andseasonal components to account for movements in the CPSnot captured by the CES series. The seasonal componentaccounts for the seasonality in the CPS not explained by theCES, while the trend component adjusts for long-run sys-tematic differences between the two series.
The unemployment rate models use the relationship be-tween the State's monthly unemployment insurance (UI)claims data and the CPS unemployment rate, along withtrend and seasonal components.
In both the employment-to-population ratio and unem-ployment rate models, an important feature is the use of atechnique that allows the equations to adjust automaticallyto structural changes that occur. The regression portion ofthe model includes a built-in tuning mechanism, known asthe Kalman Filter, which revises a model's coefficients whenthe new data that become available each month indicatethat changes in the data relationships have taken place. Oncethe estimates are developed from the models, levels are cal-culated for employment, unemployment, and labor force.
Benchmark correction procedures. Once each year, monthlyestimates for all States and the District of Columbia areadjusted, or benchmarked, by BLS to the annual averageCPS estimates. The benchmarking technique employs a pro-cedure (called the Denton method) which adjusts the an-nual average of the models to equal the CPS annual aver-
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age, while preserving, as much as possible, the originalmonthly seasonal pattern of the model estimates.
Estimates for sub-State areasMonthly labor force, employment, and unemployment
estimates for two large sub-State areas —New York Cityand the Los Angeles-Long Beach metropolitan area—areobtained using the same modeling approach as for states.Estimates for the nearly 2,400 remaining LMA's, are pre-pared through indirect estimation techniques, describedbelow.
Preliminary estimate—employment The total civilianemployment estimates are based largely on CES data. These"place-of-work" estimates must be adjusted to refer to placeof residence as used in the CPS. Factors for adjusting fromplace of work to place of residence have been developed onthe basis of employment relationships at the time of the1990 decennial census. These factors are applied to the CESestimates for the current period to obtain adjusted employ-ment estimates, to which are added estimates for employ-ment 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 esti-mates for each of two categories: (1) Persons who were pre-viously employed in industries covered by State UI laws;and (2) those who were entering the civilian labor force forthe first time or reentering after a period of separation.
Sub-State adjustment for additivity. Estimates of employ-ment and unemployment are prepared for the State and allLMA's within the State. The LMA estimates geographicallyexhaust the entire State. Thus, a proportional adjustment isapplied to all sub-State preliminary LMA estimates to en-sure that they add to the independently estimated State to-tals for employment and unemployment. For California andNew York, the proportional adjustment is applied to allLMA's other than the two modeled areas, to ensure that theLMA estimates sum to an independent model-based esti-mate for the balance of State.
Benchmark correction. At the end of each year, sub-Stateestimates are revised. The revisions incorporate any changesin the inputs, such as revisions in the CES-based employ-ment figures, corrections in UI claims counts, and updatedhistorical relationships. The updated estimates are then re-adjusted to add to the revised (benchmarked) State estimatesof employment and unemployment.
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Seasonal Adjustment
Over the course of a year, the size of the Nation's laborforce, the levels of employment and unemployment, andother measures of labor market activity undergo sharp fluc-tuations 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 sea-sonal events follow a more or less regular pattern each year,their influence on statistical trends can be eliminated byadjusting the statistics from month to month. These adjust-ments make it easier to observe the cyclical and other non-seasonal movements in the series. In evaluating changes ina seasonally adjusted series, it is important to note that sea-sonal adjustment is merely an approximation based on pastexperience. Seasonally adjusted estimates have a broadermargin of possible error than the original data on which theyare based, because they are subject not only to sampling andother errors but are also affected by the uncertainties of theseasonal adjustment process itself. Seasonally adjusted se-ries for selected labor force and establishment-based dataare published monthly in Employment and Earnings,
Household dataSince January 1980, national labor force data have been
seasonally adjusted with a procedure called X-ll ARIMA(Auto-Regressive Integrated Moving Average), which wasdeveloped at Statistics Canada as an extension of the stan-dard X-ll method. A detailed description of the procedureappears in The X-ll ARIMA Seasonal Adjustment Methodby Estela Bee Dagum, Statistics Canada Catalogue No. 12-564E, January 1983.
BLS uses an extension of X-ll ARIMA to allow it to ad-just more adequately for the effects of the presence or ab-sence of religious holidays in the April survey referenceperiod and of Labor Day in the September reference period.This extension was applied for the first time at the end of1989 to three persons-at-work labor force series which testedas having significant and well-defined effects in their Aprildata associated with the timing of Easter.
At the beginning of each calendar year, projected seasonaladjustment factors are calculated for use during the Janu-ary-June period. In July of each year, BLS calculates andpublishes in Employment and Earnings projected seasonaladjustment factors for use in the second half, based on theexperience through June. Revisions of historical data, usu-ally for the most recent 5 years, are made only at the begin-ning of each calendar year. However, as a result of the revi-sions to the estimates for 1970-81 based on 1980 censuspopulation counts, revisions to seasonally adjusted series inearly 1982 were carried back to 1970. In 1994, data wererevised only for that year because of the major redesign and
1990 census-based population controls, adjusted for theestimated undercount, introduced into the Current Popula-tion Survey. In 1996, 1990-93 data also were revised toincorporate these 1990 census-based population controls andseasonally adjusted series were revised back to 1990.
All labor force and unemployment rate statistics, as wellas the major employment and unemployment estimates, arecomputed by aggregating independently adjusted series. Forexample, for each of the three major labor force compo-nents—agricultural employment, nonagricultural employ-ment, and unemployment—data for four sex-age groups(men and women under and over 20 years of age) are sepa-rately adjusted for seasonal variation and are then added toderive seasonally adjusted total figures. The seasonally ad-justed figure for the labor force is a sum of eight seasonallyadjusted civilian employment components and four season-ally adjusted unemployment components. The total for un-employment is the sum of the four unemployment compo-nents, and the unemployment rate is derived by dividing theresulting estimate of total unemployment by the estimate ofthe labor force. Because of the independent seasonal adjust-ment of various series, components will not necessarily addto totals.
In each January issue (March issue in 1996), Employmentand Earnings publishes revised seasonally adjusted data forselected labor force series based on the experience throughDecember, new seasonal adjustment factors to be used tocalculate the civilian unemployment estimate for the first 6months of the following year, and a description of the cur-rent seasonal adjustment procedure.
Establishment dataBeginning in June 1996, with the release of the March
1995 benchmark revisions, BLS utilizes X-12 ARIMA soft-ware developed by the Bureau of the Census to seasonallyadjust national establishment-based employment, hours, andearnings series. The X-12 ARIMA replaces the X-11 ARIMA,which had been used to adjust these series since the early1980's. All national establishment-based series were revisedback to 1988.
The conversion to X-12 ARIMA allows BLS to refine itsseasonal adjustment procedures to control for survey inter-val variations, sometime referred to as the 4-vs. 5-week ef-fect. While the CES survey is referenced to a consistent con-cept, the pay period including the 12th day of the month,inconsistencies arise because there are variations of 4 or 5weeks between the week of the 12th in any given pair ofmonths. In highly seasonal months and industries, this varia-tion can be an important determinant of the magnitude ofseasonal hires or layoffs that have occurred at the time the
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survey is taken, thereby complicating seasonal ^jjustment.The interval effect adjustment is accomplished through theREGARIMA (regression with auto-correlated errors) optionin the X-12 software. This process combines standard re-gression analysis, which measures correlations between twoor more variables, with ARIMA modeling, which describesand predicts the behavior of a data series based on its ownpast history. In this application, the correlations of interestare those between employment levels in individual calendarmonths and the length of the survey intervals for thosemonths. The REGARIMA models estimate and remove thevariation in employment levels attributable to 11 separatesurvey intervals, one specified for each month, except March.March is excluded because there are always 4 weeksbetween the February and March surveys.
Projected seasonal factors for the establishment-basedseries are calculated and published twice a year, parallelingthe procedure used for the household series. Revisions tohistorical data are made once a year, coincident with bench-mark revisions. All series are seasonally adjusted usingmultiplicative models in X-12; additive models are not con-sidered. Seasonal adjustment factors are computed and ap-plied at component levels. For employment series, these aregenerally the 2-digit SIC levels. Seasonally adjusted totalsare arithmetic aggregations for employment series andweighted averages of the seasonally adjusted data for hoursand earnings series.
Seasonally adjusted average weekly earnings are the prod-uct of seasonally adjusted average hourly earnings and sea-sonally adjusted average weekly hours. Average weekly earn-ings in constant dollars, seasonally adjusted, are obtainedby dividing average weekly earnings, seasonally adjusted,by the seasonally adjusted Consumer Price Index for UrbanWage Earners and Clerical Workers (CPI-W), and multiply-ing by 100. Indexes of aggregate weekly hours, seasonallyadjusted, are obtained by multiplying average weekly hours,seasonally adjusted, by production or nonsupervisory work-ers, seasonally adjusted, and dividing by the 1982 annualaverage base. For total private, total goods-producing, totalprivate service-producing, and major industry divisions, theindexes of aggregate weekly hours, seasonally adjusted, areobtained by summing the aggregate weekly hours, season-ally adjusted, for the appropriate component industries anddividing by the 1982 annual average base.
Seasonally adjusted data are not published for a numberof series characterized by small seasonal components rela-tive to their trend-cycle and/or irregular components. Thesefailed or unsatisfactory seasonally adjusted series, however,are used in the aggregation to broader level seasonallyadjusted series.
Seasonal adjustment factors for Federal Governmentemployment are derived from unadjusted data which includeChristmas temporary workers employed by the Postal Ser-vice. The number of temporary census workers for thedecennial census, however, are removed prior to the calcu-
lation of seasonal adjustment factors.BLS also makes special adjustments for floating holidays
for the establishment-based series on average weekly hoursand manufacturing overtime hours. From 1988 forward, theseadjustments are now accomplished as part of the X-12ARIMA/REGARIMA modeling process rather than throughthe previously used moving-holiday extension of X-llARIMA. The special adjustment made in November eachyear to adjust for the effect of poll workers in the local gov-ernment employment series also is incorporated into the X-12 process from 1988 forward; this replaces the X-llARIMA-based procedure previously used to account for thiseffect.
Revised seasonally adjusted national establishment-basedseries based on the experience through March 1996, newseasonal adjustment factors for March-October 1996, and adescription of the current seasonal adjustment procedureappear in the June 1996 issue of Employment and Earnings.Revised factors for the September 1996-April 1997 periodwill appear in the December issue.
Beginning in 1993, BLS introduced publication of sea-sonally adjusted nonfarm payroll employment data by ma-jor industry for all States and the District of Columbia (tableB-7). Seasonal adjustment factors are applied directly to theemployment estimates at the division level (component se-ries for manufacturing and trade) and then aggregated to theState totals. The recomputation of seasonal factors and his-torical revisions are made coincident with the annual bench-mark adjustments. State estimation procedures are designedto produce accurate (unadjusted and seasonally adjusted) datafor each individual State. BLS independently develops anational employment series; State estimates are not forcedto sum to national totals. Because each State series is sub-ject to larger sampling and nonsampling errors than the na-tional series, summing them cumulates individual State levelerrors and can cause significant distortions at an aggregatelevel. Due to these statistical limitations, BLS does not com-pile a "sum-of-States" employment series, and cautions us-ers that such a series is subject to a relatively large and vola-tile error structure.
Region and State labor force dataBeginning in 1992, BLS introduced publication of sea-
sonally adjusted labor force data for the census regions anddivisions, the 50 States, and the District of Columbia (tablesC-l and C-2). Using the X-ll ARIMA procedure, seasonaladjustment factors are computed and applied independentlyto the component employment and unemployment levels andthen aggregated to regional or State totals. Current seasonaladjustment factors are produced for 6-month periods twicea year. Historical revisions usually are made at the begin-ning of each calendar year. Because of the separate pro-cessing procedures, totals for the Nation, as a whole, differfrom the results obtained by aggregating regional or Statedata.
169
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UNITED STATESPOSTAL SERVICE™
Statement of Ownership, Management, and Circulation(Required by 39 U.S.C. 3685)
l.PubttcatfonTWe
EMPLOYMENT AND EARNINGS
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12
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6,469
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331
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351
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