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EMPLOYMENT AND EARNINGS
U.S. Department of LaborBureau of Labor StatisticsNovember 1994
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U.S. DEPARTMENT OF LABORRobert B. Reich, Secretary
BUREAU OF LABOR STATISTICSKatharine G. Abraham, Commissioner
E&E— Employment and Earnings (ISSN 0013-6840), isprepared in the Office of Employment and UnemploymentStatistics in collaboration with the Office of Publicationsand Special Studies. The data are collected by the Bureau ofthe Census (Department of Commerce) and State employ-ment security agencies, in cooperation with the Bureau ofLabor Statistics. A brief description of the cooperative sta-tistical programs of the BLS with these agencies is presentedin the Explanatory Notes. The State agencies are listed onthe inside back cover.
Employment and Earnings may be ordered from: New Or-ders, Superintendent of Documents, P.O. Box 371954, Pitts-burgh, PA 15250-7954. Phone (202) 512-2168. Subscrip-tion price per year $29 domestic and $36.50 foreign. Singlecopy $14 domestic and $17.50 foreign. Prices are subject tochange by the U.S. Government Printing Office.
Correspondence concerning subscriptions, including ad-dress changes and missing issues, should be sent to theSuperintendent of Documents, U.S. Government PrintingOffice, Washington, DC 20402. Phone (202) 512-2303.POSTMASTER: Send address changes to Employment andEarnings, U.S. Government Printing Office, Washington,DC 20402.
Communications on material in this publication should beaddressed to: Editors, Employment and Earnings, Bureau ofLabor Statistics, Washington, DC 20212. Specific questionsconcerning the data in this publication should be directed asfollows: Household data, (202) 606-6373 or 6378; nationalestablishment data, 606-6555; State and area establishmentdata, 606-6559; and State and area labor force data,606-6392.
Second class postage paid at Washington, DC, and at addi-tional mailing addresses.
Information in this publication will be made available tosensory impaired individuals upon request. Voice phone(202) 606-STAT; TDD phone: (202) 606-5897; TDD mes-sage referral phone: 1-800-326-2577.
Material in this publication is in the public domain and, withappropriate credit, may be reproduced without permission.
November 1994
Vol. 41 No. 11
Calendar of Features
In addition to the monthly data appearing regularlyin Employment and Earnings, special features appearin most of the issues as shown below.
Household data
Annual averages
Union affiliation
Earnings by detailed occupation
Employee absences
Revised seasonally adjusted series
Quarterly averages: Seasonally adjusted data,persons of Hispanic origin, Vietnam-eraveterans and nonveterans, and weeklyearnings data.
Establishment data
National annual averages:
Industry divisions (preliminary)
Industry detail
Women employees
National data revised to reflect new benchmarks andnew seasonal adjustment factors
Revised historical national data
State and area annual revisions
State and area annual averages
Area definitions
State and area labor force data
Annual revisionsAnnual averages
1 A new bulletin is forthcoming.
Jan.
Jan.
Jan.
Jan.
Jan.
Jan., Apr., July, Oct.
Jan.
Mar., June
Mar., June
June
Bulletin1
March
May
May
MarchMay
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Employment and EarningsEditors: Gloria Peterson Green, Eugene H. Becker
Contents
Page
List of statistical tables 2Contents to the explanatory notes and estimates of error 4Employment and unemployment developments, October 1994 5Summary tables and charts 7Explanatory notes and estimates of error 135Index to statistical tables 172
Statistical tables
IT. • • i Seasonally N o t „Source Historical adjusted seasonally
adjusted
Household data 9 11 20
Establishment data:Employment:
National 43StateArea
Hours and earnings:National 44State and area
Local area labor force data:RegionalStateArea
4752
60
123125
647777
96119
130130
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Monthly Household Data
Page
HistoricalA-l . Employment status of the civilian noninstitutional population 16 years and over, 1961 to date 9A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1983 to date 10
Seasonally Adjusted Data
Employment Status
A-3. Employment status of the civilian noninstitutional population by sex and age 11A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin 12
A-5. Employment and unemployed full- and part-time workers by sex and age 14
Characteristics of the Employed
A-6. Employed persons by marital status, occupation, class of worker, and part-time status 15A-7. Employed persons by age and sex 16
Characteristics of the Unemployed
A-8. Unemployed persons by age and sex 16A-9. Unemployment rates by age and sex 17
A-10. Unemployment rates by occupation, industry, and selected demographic characteristics 18A-l 1. Unemployed persons by reason for unemployment 19A-12. Unemployed persons by duration of unemployment 19
Not Seasonally Adjusted Data
Employment Status
A-l 3. Employment status of the civilian noninstitutional population by age, sex, and race 20A-l4. Employment status of the civilian noninstitutional population by race, sex, and age 23A-l5. Employment status of the civilian noninstitutional population 16 to 24 years of age by school
enrollment, educational attainment, sex, race, and Hispanic origin 24A-l 6. Employed and unemployed full- and part-time workers by age, sex, and race 26
Characteristics of the Employed
A-17. Employed persons by occupation, sex, and age 27A-l 8. Employed persons by occupation, race, and sex 28A-19. Employed persons by industry and occupation 29A-20. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker 30A-21. Persons at work in agriculture and nonagricultural industries by hours of work 31A-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 31A-23. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status 32A-24. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or
part-time status 33A-25. Persons at work in nonfarm occupations by sex and usual full- or part-time status 34
Characteristics of the Unemployed
A-26. Unemployed persons by marital status, race, age, and sex 35A-27. Unemployed persons by occupation and sex 36A-28. Unemployed persons by industry and sex 37A—29. Unemployed persons by reason for unemployment, sex, age, and race 38A-30. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment 39A-31. Unemployed persons, total and full-time workers, by duration of unemployment 39A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment 40A-33. Unemployed persons by occupation, industry, and duration of unemployment 41
Persons Not in the Labor Force
A-34. Persons not in the labor force by desire and availability for work, age, and sex 41
Multiple Jobholders
A-35. Multiple jobholders by selected demographic and economic characteristics 42
Vietnam-era Veterans and Nonveterans
A-36. Employment status of male Vietnam-era veterans and nonveterans by age 42
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Monthly Establishment Data
Page
Historical
B-l . Employees on nonfarm payrolls by major industry, 1943 to date 43B—2. Average hours and earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry, 1964 to date 44
Seasonally Adjusted Data
Employment
NationalB-3. Employees on nonfarm payrolls by major industry and selected component groups 47B-4. Women employees on nonfarm payrolls by major industry and manufacturing group 49B-5. Production or nonsupervisory workers on private nonfarm payrolls by major industry
and manufacturing group 50B-6. Diffusion indexes of employment change 51
StatesB-7. Employees on nonfarm payrolls by State and major industry 52
Hours and Earnings
National
B-8. Average weekly hours of production or nonsupervisory workers on private nonfarm payrollsby major industry and manufacturing group 60
B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers on private nonfarmpayrolls by major industry and manufacturing group 61
B-10. Hours of wage and salary workers on nonfarm payrolls by major industry 62B-l 1. Average hourly and weekly earnings of production or nonsupervisory workers on private
nonfarm payrolls by major industry 63
Not Seasonally Adjusted Data
Employment
NationalB-12. Employees on nonfarm payrolls by detailed industry 64B-l 3. Women employees on nonfarm payrolls by major industry and manufacturing group 76
States and Areas
B-14. Employees on nonfarm payrolls in States and selected areas by major industry 77
Hours and Earnings
National
B-l5. Average hours and earnings of production or nonsupervisory workers on private nonfarmpayrolls by detailed industry 96
B-l5a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles(SIC 3761) manufacturing 116
B-l 6. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls 117B-17. Average hourly and weekly earnings of production or nonsupervisory workers on private
nonfarm payrolls by major industry, in current and constant (1982) dollars 118
States and AreasB-l 8. Average hours and earnings of production workers on manufacturing payrolls in
States and selected areas 119
Monthly Regional, State, and Area Labor Force Data
Seasonally Adjusted Data
C-l. Employment status of the civilian population for census regions and divisions 123C-2. Labor force status by State 125
Not Seasonally Adjusted Data
C-3. Labor force status by State and selected metropolitan areas 130
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Explanatory Notes and Estimates of Error
Page Page
Introduction 135Relation between the household and establishment series . . . . 135Comparability of household data with other series 136Comparability of payroll employment data with
other series 136
Household data 137Collection and coverage 137Concepts and definitions 137Historical comparability 140
Changes in concepts and methods 140Noncomparability of labor force levels 141Changes in the occupational and industrial
classification systems 143Sampling 143
Selection of sample areas 144Selection of sample households 144Rotation of sample 145
Estimating methods 146Noninterview adjustment 146Ratio estimates 146
First stage 146Second stage 146
Composite estimation procedure 146Rounding of estimates 147Reliability of the estimates 147
Nonsampling error 147Sampling error 147
Tables 1-B through 1-H 148
Establishment data 155Collection 155Concepts 155
Establishment data—ContinuedEstimating methods 157
Benchmarks 158
Monthly estimation 158Stratification 158Link relative technique 158Bias adjustment 158Summary of methodology table 159
The sample 160Design 160Coverage 161Reliability 161
Measures of error tables 161Benchmark revision as a measure of survey error 161Estimated standard errors for employment, hours,and earnings 161Standard errors for differences between industriesand times 162Noneconomic code changes 162Revisions between preliminary and final data 162
Statistics for States and areas 165
Regional, State, and area labor force data 168Federal-State cooperative program 168Estimating methods 168
Estimates for States 168Current monthly estimates 168Benchmark correction procedures 169
Estimates for sub-State areas 169Preliminary estimate:
Employment 169Unemployment 169
Sub-State adjustment for additivity 169Benchmark correction 169
Seasonal adjustment 170
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Employment and UnemploymentDevelopments, October 1994
The Nation's job market continued to improve in Octo-ber. The unemployment rate was little changed over themonth but, at 5.8 percent, is nearly a full percentage pointbelow the January level. Nonfarm payroll employment—asmeasured by the survey of employers—rose by 194,000 inOctober, including a substantial gain in factory jobs. Bothaverage earnings and the overall workweek in the privatesector rose markedly over the month. Total employment—as measured by the household survey—experienced its thirdconsecutive large increase, after rising modestly earlier inthe year.
UnemploymentBoth the number of persons unemployed (7.6 million)
and the unemployment rate (5.8 percent) were littlechanged in October, after seasonal adjustment. Since Janu-ary, the unemployment level has dropped by 1.1 million andthe rate by 0.9 percentage point. (See table A-3.)
The unemployment rate for adult women fell 0.3 percent-age point to 5.0 percent in October, after showing littlemovement since May. The rates for adult men (5.1 percent),teenagers (17.3 percent), whites (5.0 percent), blacks (11.4percent), and Hispanics (9.4 percent) all showed little or nochange from the prior month. The jobless rate for each ofthese major labor force groups has declined since January.(See tables A-3 and A-4.) The number of persons unem-ployed for fewer than 5 weeks fell by 290,000 in October,while those unemployed for 15 weeks or longer rose by185,000 (table A-12).
Total employment and the labor forceTotal employment rose by 608,000 to 124.2 million in
October, after seasonal adjustment. This was the third con-secutive month of sharp gains in this measure (totaling 1.8million) and brought the increase since January to 2.3 mil-lion. The employment-population ratio—the proportion ofthe working-age population with jobs—has risen from 62.2percent in July to 62.9 percent in October. (See table A-3.)
The number of persons employed part time for economicreasons (4.4 million) and the number of voluntary part-timeworkers (17.7 million) were about unchanged in October.(See table A-6.) About 7.6 million persons (not seasonallyadjusted) held more than one job, 6.1 percent of all em-ployed persons (table A-35).
The civilian labor force rose by 493,000 in October to131.8 million. Labor force growth has been strong since
July, after lagging through the first half of the year. Overthe month, the labor force participation rate increased 0.2percentage point to 66.8 percent. (See table A-3.)
Persons not in the labor forceThe number of persons who wanted and were available
for work but were no longer actively looking after havingsearched sometime in the past 12 months was 1.7 million(not seasonally adjusted) in October. Of that total, the num-ber who were not looking because they felt that there wereno jobs available for them—discouraged workers—was460,000. (See table A-34.)
Industry payroll employmentNonfarm payroll employment continued to increase in
October, rising by 194,000 on a seasonally adjusted basis.Manufacturing, services, and retail trade accounted fornearly all of the October job growth. (See table B-3.) Thenumber of payroll jobs has expanded by 2.6 million sinceJanuary.
Manufacturing employment increased by 40,000 in Oc-tober, building on the growth trend that began about a yearago. The number of factory jobs has risen by about 200,000during the period. Over-the-month increases were wide-spread, as the manufacturing diffusion index of employmentchange, at 60.8 percent, was particularly high (table B-6).The largest gains occurred in fabricated metals (9,000),autos (10,000), and rubber and plastics (6,000). Declinesappear to have moderated in such defense-dependent indus-tries as aircraft and instruments.
The number of construction workers was little changedin October, following a large gain in September. Small over-the-month increases among general building and specialtrade contractors were largely offset by job losses in heavyconstruction. Construction employment is up 275,000 overthe year and 500,000 since it began to recover in mid-1992.Mining employment continued to edge down in October,due to further job losses in oil and gas extraction. The min-ing industry, which has been on a long-term decline, haslost about 115,000 jobs since mid-1990.
Within the service-producing sector, the services indus-try added 96,000 jobs in October. Both the September andOctober gains in this industry were smaller than those thatoccurred earlier this year. A third of the October growthtook place in business services, although growth in this in-dustry also was somewhat below average. Health services
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and motion pictures each expanded their payrolls, whilehotels and other lodging places continued to showweakness.
Retail trade employment rose by 51,000 in October, withgains spread primarily among general merchandise stores,automotive dealers and service stations, furniture stores,and eating and drinking places. Wholesale trade added11,000 workers, with its durable goods distribution compo-nent showing most of the gain.
Overall employment in finance, insurance, and real es-tate was little changed, but large losses continued amongmortgage brokers (which comprise half of employment innondepository institutions). Government employment alsoshowed little change in October, following sizable gains inState and local governments in recent months.
Weekly hoursThe average workweek for production or nonsupervisory
workers on private nonfarm payrolls rose 0.3 hour in Octo-
ber to a high of 34.9 hours, seasonally adjusted. The aver-age manufacturing workweek increased by 0.1 hour to 42.1hours, and factory overtime held steady at 4.7 hours. Bothare at extremely high levels. (See table B-8.)
As a result of the increases in both employment andhours, the index of aggregate weekly hours of private pro-duction or nonsupervisory workers on nonfarm payrollsjumped 1.0 percent to 131.1 (1982=100) in October, sea-sonally adjusted. The manufacturing index rose by 0.6 per-cent to 106.4. (See table B-9.)
Hourly and weekly earningsBoth average hourly and weekly earnings of private pro-
duction or nonsupervisory workers rose sharply in October.Average hourly earnings increased 0.7 percent to $11.24 inOctober, seasonally adjusted, and weekly earnings in-creased 1.6 percent to $392.28. Over the year, hourly earn-ings increased by 2.9 percent and weekly earnings by 4.1percent. (See tables B-ll and B-15.)
Scheduled Release Date
Employment and unemployment data are scheduled for initial release on thefollowing dates:
Reference month
November
December
January
Release date
December 2
January 6
February 3
Index month
February
March
April
Release date
March 10
April 7
May 5
Reader Survey In January
The first page of January's Employmentand Earnings will be a readershipsurvey. Please take the few momentsneeded to complete the survey and re-spond by mail or fax. We are lookingforward to your ideas on how we canimprove.
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Summary table A. Major labor force status categories, seasonally adjusted
(Numbers in thousands)
Category1993
Oct. Nov. Dec.
1994
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
194,151128,580
66.2119,941
61.88,639
65,571
194,321128,662
66.2120,332
61.98,330
65,659
194,472128,898
66.3120,661
62.08,237
65,574
195,953130,667
66.7121,971
62.28,696
65,286
196,090130,776
66.7122,258
62.38,518
65,314
196,213130,580
66.6122,037
62.28,543
65,633
196,363130,747
66.6122,338
62.38,408
65,616
196,510130,774
66.5122,872
62.57,902
65,736
196,693130,248
66.2122,430
62.27,817
66,445
196,859130,457
66.3122,452
62.28,005
66,403
197,043131,189
66.6123,166
62.58,023
65,854
197,248131,343
66.6123,628
62.77,715
65,905
Unemployment rates
6.76.25.8
18.96.1
11.911.4
6.55.95.718.35.612.510.4
6.45.85.717.85.611.510.5
6.75.96.018.45.813.110.6
6.56.05.717.95.612.910.0
6.55.86.017.85.712.510.0
6.45.65.619.95.611.810.8
6.05.25.418.35.211.59.5
6.05.35.416.95.311.210.3
6.15.65.317.75.411.210.1
6.15.45.417.55.311.510.2
5.95.15.317.05.110.710.2
197,430131,836
66.8124,236
62.97,600
65,594
5.85.15.0
17.35.0
11.49.4
NOTE: Data for 1994 are not directly comparable with data for 1993 and earlier years.For additional information, see "Revisions in the Current Population Survey Effective
January 1994" in the February 1994 issue of Employment and Earnings.
Summary table B. Employment, hours, and earnings of production or nonsupervisory workers on nonfarm payrolls,seasonally adjusted
(Numbers in thousands)
IndustryOct. Nov.
1994
Feb. Mar. Apr. May June July Aug. SeptJ Oct.?
TotalTotal private
Goods-producing industriesMiningConstructionManufacturing
Service-producing industriesTransportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estateServicesGovernment
TotalTotal private
Goods-producing industriesMiningConstructionManufacturing
Service-producing industriesTransportation and public utilitiesWholesale tradeRetail tradeFinance, insurance, and real estateServicesGovernment
Total privateManufacturing
Overtime
Total privateManufacturing
Employment
111,11292,23923,245
6054,70017,94087,8675,7985,96519,8226,748
30,66118,873
111,36692,47923,281
6044,73317,94488,0855,8005,97119,8486,763
30,81618,887
111,61092,69223,298
6184,73817,94288,3125,7925,97619,9316,769
30,92618,918
111,71192,81023,328616
4,74417,96888,3835,7935,99019,9246,771
31,00418,901
111,91993,00323,327
6124,74517,97088,5925,8036,00319,9656,776
31,12918,916
112,29893,35723,395
6094,80617,98088,9035,8166,01320,0266,781
31,32618,941
112,69993,71823,506
6064,89318,00789,1935,7596,02820,1376,791
31,49718,981
112,95193,93723,519
6034,90718,00989,4325,8436,03720,1536,787
31,59819,014
113,33494,31623,576
6054,92718,04489,7585,8496,049
20,2796,798
31,76519,018
113,62494,60123,590601
4,94418,04590,0345,8576,05320,3866,797
31,91819,023
113,914
94,82723,640
6034,94218,09590,2745,8666,079
20,4056,801
32,03619,087
114,16295,01623,665
6024,97018,09390,4975,8686,094
20,4716,789
32,12919,146
189203390
336
1501531713
116-14
34.541.64.3
125.3102.9
Average hourly earnings, total private:Current dollarsConstant (1982) dollars2
Average weekly earnings, total private
$10.927.39
376.74
114,35695,21423,706
5984,975
18,13390,6505,8696,105
20,5226,787
32,22519,142
Over-the-month change
25424036-1334
21826261515514
24421317145-2227-85836
11031
10111830-262671114-7278-17
208193-1-412
2091013415
12515
37935468-361103111310615
19725
401361111-38727290-57151111017140
25221913-3142
23984916-410133
3833795722035326612126111674
29028514-4171
27684
107-11535
290226502-250240926194
11864
24818925-128-222321566-129359
Hours of work1
34.641.74.4
34.541.74.4
34.841.74.5
34.341.34.5
34.642.14.7
34.742.24.8
34.842.14.7
34.642.04.7
34.642.04.6
34.442.04.6
34.642.04.7
Indexes of aggregate weekly hours (1982 = 100)1
125.8103.3
125.9103.3
127.1103.7
125.6102.8
127.3104.9
128.2105.4
129.1105.1
128.8105.3
129.3105.2
128.9105.7
129.8105.8
Earnings1
$10.947.39
378.52
$10.967.40
378.12
$11.027.43
383.50
$11.037.42
378.33
$11.027.39
381.29
$11.057.40
383.44
$11.097.42
385.93
$11.087.39
383.37
$11.117.38
384.41
$11.137.36
382.87
$11.167.37
386.14
19419841-45
40153
11151-296-4
34.942.14.7
131.1106.4
$11.24N.A.
$392.28
1 Data relate to private production or nonsupervisory workers.2 The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W)
is used to deflate this series.
N.A. = not available.p = preliminary.
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Chart 1. Nonfarm payroll employment, seasonally adjusted,1990-94
Thousands115,000
Thousands115,000
109,000
108,000 -
107,0001990 1991 1992 1993 1994
- 109,000
108,000
107,000
NOTE: Shaded area represents recession.
Chart 2. Unemployment rate, seasonally adjusted, 1990-94Percent
8.0Percent
8.0
1990 1991 1992 1993 1994
NOTE: Shaded area represents recession. Household data beginning in January 1994reflect: 1) The introduction of the results of a major redesign of the Current Population Surveyquestionnaire and collection methodology, and 2) the introduction of population controlsbased on the 1990 census, adjusted for the estimated population undercount, and are notdirectly comparable with data for prior years.
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HOUSEHOLD DATAHISTORICAL
A-1. Employment status of the civilian noninstitutional population 16 years and over, 1961 to date
(Numbers in thousands)
Yearand
month
Civiliannoninsti-tutional
population
Civilian labor force
NumberPercent
ofpopulation
Employed
NumberPercent
ofpopulation
AgricultureNonagricultural
industries
Unemployed
Number
Percentof
laborforce
Not inlaborforce
1961 ..19621 .1963 ..1964 ..1965 ..1966 ..1967 ..1968 ..1969 ..
1970 ..1971 ..19721 .19731 .1974 ..1975 ..1976 ..1977 ..19781 .1979 ..
1980 ..
19831984198519861 ....198719881989
1990 .1991 .1992 .1993 .
1993:OctoberNovember.
Annual averages
118,771120,153122,416124,485126,513128,058129,874132,028134,335
137,085140,216144,126147,096150,120153,153156,150159,033161,910164,863
167,7451981 170,1301982 172,271
174,215176,383178,206180,587182,753184,613186,393
188,049189,765191,576193,550
194,151194,321
December I 194,472
1994:January3
FebruaryMarchAprilMayJuneJulyAugustSeptember.October
195,953196,090196,213196,363196,510196,693196,859197,043197,248197,430
70,45970,61471,83373,09174,45575,77077,34778,73780,734
82,77184,38287,03489,42991,94993,77596,15899,009102,251104,962
106,940108,670110,204111,550113,544115,461117,834119,865121,669123,869
124,787125,303126,982128,040
59.358.858.758.758.959.259.659.660.1
60.460.260.460.861.361.261.662.363.263.7
63.863.964.064.064.464.865.365.665.966.5
66.466.066.366.2
65,74666,70267,76269,30571,08872,89574,37275,92077,902
78,67879,36782,15385,06486,79485,84688,75292,01796,04898,824
99,303100,39799,526100,834105,005107,150109,597112,440114,968117,342
117,914116,877117,598119,306
55.455.555.455.756.256.957.357.558.0
57.456.657.057.857.856.156.857.959.359.9
59.259.057.857.959.560.160.761.562.363.0
62.761.661.461.6
5,2004,9444,6874,5234,3613,9793,8443,8173,606
3,4633,3943,4843,4703,5153,4083,3313,2833,3873,347
3,3643,3683,4013,3833,3213,1793,1633,2083,1693,199
3,1863,2333,2073,074
60,54661,75963,07664,78266,72668,91570,52772,10374,296
75,21575,97278,66981,59483,27982,43885,42188,73492,66195,477
95,93897,03096,12597,450
101,685103,971106,434109,232111,800114,142
114,728113,644114,391116,232
4,7143,9114,0703,7863,3662,8752,9752,8172,832
4,0935,0164,8824,3655,1567,9297,4066,9916,2026,137
7,6378,273
10,67810,7178,5398,3128,2377,4256,7016,528
6,8748,4269,3848,734
Monthly data, seasonally adjusted2
128,580128,662128,898
130,667130,776130,580130,747130,774130,248130,457131,189131,343131,836
66.266.266.3
66.766.766.666.666.566.266.366.666.666.8
119,941120,332120,661
121,971122,258122,037122,338122,872122,430122,452123,166123,628124,236
61.861.962.0
62.262.362.262.362.562.262.262.562.762.9
3,0213,1143,096
3,3313,3913,4263,4593,4353,2353,2783,4443,4093,495
116,920117,218117,565
118,639-118,867118,611118,880119,437119,195119,173119,722120,219120,741
8,6398,3308,237
8,6968,5188,5438,4087,9027,8178,0058,0237,7157,600
6.75.55.75.24.53.83.83.63.5
4.95.95.64.95.68.57.77.16.15.8
7.17.69.79.67.57.27.06.25.55.3
5.56.77.46.8
48,31249,53950,58351,39452,05852,28852,52753,29153,602
54,31555,83457,09157,66758,17159,37759,99160,02559,65959,900
60,80661,46062,06762,66562,83962,74462,75262,88862,94462,523
63,26264,46264,59365,509
6.76.56.4
6.76.56.56.46.06.06.16.15.95.8
65,57165,65965,574
65,28665,31465,63365,61665,73666,44566,40365,85465,90565,594
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 The population figures are not adjusted for seasonal variation.3 Data, beginning in 1994, are not directly comparable with data for
1993 and earlier years because of the introduction of a major redesign of
the Current Population Survey (household survey) questionnaire andcollection methodology and the introduction of 1990 census-basedpopulation controls, adjusted for the estimated undercount. For additionalinformation, see "Revisions in the Current Population Survey EffectiveJanuary 1994" in the February 1994 issue of Employment and Earnings.
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, 1983 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
MEN19831984198519861
198719881989
1990199119921993
1993:October ....NovemberDecember
1994:January3 ..February ...MarchAprilMayJuneJulyAugustSeptemberOctober ....
WOMEN19831984198519861
198719881989
1990199119921993
1993:October ....NovemberDecember
1994:January3 ..February ...MarchAprilMayJuneJulyAugustSeptemberOctober ....
82,53183,60584,46985,79886,89987,85788,762
89,65090,55291,54192,620
63,04763,83564,41165,42266,20766,92767,840
68,23468,41169,18469,633
92,94193,03393,116
93,90993,98294,04294,11994,19694,29494,37794,46994,57694,671
91,68492,77893,73694,78995,85396,75697,630
98,39999,214100,035100,930
101,210101,288101,356
102,044102,107102,171102,244102,314102,399102,482102,575102,672102,758
69,82069,73069,813
70,74470,64470,52970,62170,58470,32870,51370,83370,69571,241
48,50349,70951,05052,41353,65854,74256,030
56,55456,89357,79858,407
58,76058,93259,085
59,92360,13260,05160,12560,19059,91959,94360,35660,64760,595
Annual averages
76.476.476.376.376.276.276.4
76.175.575.675.2
56,78759,09159,89160,89262,10763,27364,315
64,43563,59363,80564.700
68.870.770.971.071.572.072.5
71.970.269.769.9
2.7042,6682,5352,5112,5432.4932,513
2,5072,5522,5342,438
54,08356,42357,35658,38159,56460.78061,802
61,92861,04161,27062,263
Monthly data, seasonally adjusted2
75.175.075.0
75.375.275.075.074.974.674.775.074.775.3
64,97165,14465,259
65.96365,92165,94066,03666,30166,13566,03666,45266,57267.086
70.070.1
70.270.170.170.270.470.170.070.370.470.9
2,3762,4812,461
2,5452,5662,6012,5652,5922,4692,4632,5852,4992,566
62,59562,66362,798
63,41963,35663,33963,47163,70963,66663.57363,86664,07364,520
Annual averages
52.953.654.555.356.056.657.4
57.557.357.857.9
44,04745,91547,25948,70650,33451,69653,027
53,47953,28453,79354,606
48.049.550.451.452.553.454.3
54.353.753.854.1
680653644652666676687
679682673636
43,36745,26246,61548,05449,66851,02052,341
52,80052,60253,12153,970
Monthly data, seasonally adjusted2
58.158.258.3
58.758.958.858.858.858.558.558.859.159.0
54,97055,18855,402
56,00756,33656,09756,30256.57156,29556,41656,71457,05657,150
54.354.554.7
54.955.254.955.155.355.055.055.355.655.6
645633635
787825825893844766815859910929
54,32554,55554,767
55,22155,51155,27255,40955,72855,52855,60055,85656,14656,221
6,2604,7444,5214,5304,1013,6553,525
3,7994,8175,3804,932
4,8494,5864,554
4,7814,7234,5894,5854,2834,1934,4784,3814,1234,155
4,4573,7943,7913,7073,3243,0463,003
3,0753,6094,0053,801
3,7903,7443,683
3,9163,7953,9543.8233,6193,6253,5283,6423,5923,445
9.97.47.06.96.25.55.2
5.67.07.87.1
19,48419,77120,05820,37620,69220,93020,923
21,41722,14122,35622,987
6.96.66.5
6.86.76.56.56.16.06.36.25.8
23,12123,30323,303
23,16523,33823,51323,49723,61223,96523,86423,63623,88123,431
9.27.67.47.16.25.65.4
5.46.36.96.5
43,18143,06842,68642,37642,19542,01441,601
41,84542,32142,23742,522
6.46.46.2
6.56.36.66.46.06.05.96.05.95.7
42,45042,35642,271
42,12141,97642,11942,11942,12442,48042,53942,21842,02442,163
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 The population figures are not adjusted for seasonal variation.3 Data, beginning in 1994, are not directly comparable with data for 1993 and earlier
years because of the introduction of a major redesign of the Current Population Survey(household survey) questionnaire and collection methodology and the introduction of1990 census-based population controls, adjusted for the estimated undercount. Foradditional information, see "Revisions in the Current Population Survey EffectiveJanuary 1994" in the February 1994 issue of Employment and Earnings.
10
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
1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
TOTAL
Civilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Men, 16 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Men, 20 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Women, 16 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Women, 20 years and overCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Both sexes, 16 to 19 yearsCivilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
194,151128,580
66.2119,941
61.88,639
6.7
92,94169,820
75.164,971
69.92,376
62,5954,849
6.923,121
86,15666,306
77.062,172
72.22,223
59,9494,134
6.219,850
194,321128,662
66.2120,332
61.98,330
6.5
93,03369,730
75.065,144
70.02,481
62,6634,586
6.623,303
86,24566,198
76.862,315
72.32,334
59,9813,883
5.920,047
101,210 101,28858,932
58.255,188
54.5633
54,5553,744
6.442,356
58,76058.1
54,97054.3645
54,3253,790
6.442,450
94,65655,462
58.652,243
55.2601
51,6423,219
5.839,194
13,3396,812
51.15,52641.4197
5,3291,28618.9
6,527
94,70955,621
58.752,423
55.4597
51,8263,198
5.739,088
13,3676,843
51.25,59441.8183
5,4111,24918.3
6,524
194,472128,898
66.3120,661
62.08,237
6.4
93,11669,813
75.065,259
70.12,461
62,7984,554
6.523,303
86,37366,321
76.862,444
72.32,300
60,1443,877
5.820,052
101,35659,085
58.355,402
54.7635
54,7673,683
6.242,271
94,76455,783
58.952,631
55.5599
52,0323,152
5.738,981
13,3356,794
50.95,58641.9197
5,3891,20817.8
6,541
195,953130,667
66.7121,971
62.28,696
6.7
93,90970,744
75.365,963
70.22,545
63,4194,781
6.823,165
86,77866,806
77.062,842
72.42,352
60,4903,964
5.919,972
102,04459,923
58.756,007
54.9787
55,2213,916
6.542,121
95,10956,368
59.353,014
55.7744
52,2703,354
6.038,742
14,0667,49353.3
6,11543.5236
5,8791,37818.4
6,573
196,090130,776
66.7122,258
62.38,518
6.5
93,98270,644
75.265,921
70.12,566
63,3564,723
6.723,338
86,82066,764
76.962,778
72.32,339
60,4393,986
6.020,056
102,10760,132
58.956,336
55.2825
55,5113,795
6.341,976
95,15956,611
59.553,403
56.1766
52,6383,208
5.738,548
14,1117,40152.4
6,07643.1287
5,7901,32517.9
6,710
196,213130,580
66.6122,037
62.28,543
6.5
94,04270,529
75.065,940
70.12,601
63,3394,589
6.523,513
86,90166,723
76.862,857
72.32,358
60,4993,866
5.820,178
102,17160,051
58.856,097
54.9825
55,2723,954
6.642,119
95,22556,487
59.353,121
55.8773
52,3483,366
6.038,738
14,0877,370
52.36,05943.0295
5,7641,31117.8
6,717
196,363130,747
66.6122,338
62.38,408
6.4
94,11970,621
75.066,036
70.22,565
63,4714,585
6.523,497
86,94666,701
76.762,958
72.42,376
60,5823,743
5.620,246
102,24460,125
58.856,302
55.1893
55,4093,823
6.442,119
95,28256,410
59.253,265
55.9837
52,4283,145
5.638,872
14,1357,636
54.06,11643.3245
5,8701,52019.9
6,499
196,510130,774
66.5122,872
62.57,902
6.0
94,19670,584
74.966,301
70.42,592
63,7094,283
6.123,612
87,00066,692
76.763,192
72.62,412
60,7803,500
5.220,308
102,31460,190
58.856,571
55.3844
55,7283,619
6.042,124
95,32956,548
59.353,521
56.1787
52,7343,027
5.438,781
14,1817,53453.1
6,15943.4236
5,9231,37518.3
6,647
196,693130,248
66.2122,430
62.27,817
6.0
94,29470,328
74.666,135
70.12,469
63,6664,193
6.023,965
87,09566,409
76.262,916
72.22,307
60,6093,493
5.320,686
102,39959,919
58.556,295
55.0766
55,5283,625
6.042,480
95,40756,214
58.953,181
55.7726
52,4553,033
5.439,193
14,1917,62553.7
6,33344.6203
6,1301,29216.9
6,566
196,859130,457
66.3122,452
62.28,005
6.1
94,37770,513
74.766,036
70.02,463
63,5734,478
6.323,864
87,12366,596
76.462,889
72.22,285
60,6053,706
5.620,528
102,48259,943
58.556,416
55.0815
55,6003,528
5.942,539
95,46956,367
59.053,394
55.9781
52,6132,972
5.339,103
14,2677,49552.5
6,16843.2212
5,9561,32717.7
6,772
197,043131,189
66.6123,166
62.58,023
6.1
94,46970,833
75.066,452
70.32,585
63,8664,381
6.223,636
87,24866,856
76.663,216
72.52,395
60,8203,640
5.420,392
102,57560,356
58.856,714
55.3859
55,8563,642
6.042,218
95,54456,774
59.453,711
56.2817
52,8943,063
5.438,770
14,2517,560
53.06,23943.8231
6,0081,320
17.56,692
197,248131,343
66.6123,628
62.77,715
5.9
94,57670,695
74.766,572
70.42,499
64,0734,123
5.823,881
87,32166,839
76.563,421
72.62,255
61,1673,418
5.120,482
102,67260,647
59.157,056
55.6910
56,1463,592
5.942,024
95,65857,217
59.854,161
56.6855
53,3063,056
5.338,441
14,2697,28651.1
6,04642.4300
5,7461,24017.0
6,983
197,430131,836
66.8124,236
62.97,600
5.8
94,67171,241
75.367,086
70.92,566
64,5204,155
5.823,431
87,43967,277
76.963,831
73.02,284
61,5483,446
5.120,162
102,75860,595
59.057,150
55.6929
56,2213,445
5.742,163
95,72957,055
59.654,198
56.6879
53,3182,858
5.038,674
14,2617,503
52.66,20743.5332
5,8751,29617.3
6,758
1 The population figures are not adjusted for seasonal variation.2 Employment as a percent of the civilian noninstitutional population.NOTE: Detail for the seasonally adjusted data shown in tables A-3
through A-12 will not necessarily add to totals because of the independent
seasonal adjustment of the various series. Data for 1994 are not directlycomparable with data for 1993 and earlier years. For additional information,see "Revisions in the Current Population Survey Effective January 1994" inthe February 1994 issue of Employment and Earnings.
11
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
1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
WHITE
Civilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Both sexes, 16 to 19 years
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
MenWomen
BLACK
Civilian noninstitutional population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
See footnotes at end of table.
164,309110,009
67.0103,273
62.96,736
6.1
57,390111
54,14473.3
3,2465.7
46,71058.5
44,22355.4
2,4875.3
5,90955.6
4,90646.2
1,00317.017.916.0
22,44213,945
62.112,292
54.81,65311.9
6,48271.5
5,77063.67111.0
6,73159.8
6,05953.967;10.0
164,421109,804
66.8103,662
63.06,142
5.6
57,12377.2
54,27973.4
2,8445.0
46,76858.6
44,39255.6
2,3765.1
5,91355.6
4,99146.992215.617.713.3
22,47514,057
62.512,297
54.71,760
12.5
6,52971.8
5,72563.0
' 80412.3
6,76660.1
6,11154.26559.7
164,516110,016
66.9103,807
63.16,209
5.6
57,28077.4
54,28373.3
2,9975.2
46,87258.7
44,55455.8
2,3184.9
5,86455.1
4,97046.789415.216.913.4
22,50414,011
62.312,397
55.11,61.4
11.5
6,46970.9
5,78763.568210.5
6,80160.3
6,14354.56589.7
165,014110,802
67.1104,355
63.26,447
5.8
57,45777.6
54,43873.5
3,0195.3
47,02559.0
44,63156.0
2,3935.1
6,32156.5
5,28647.3
1,03416.418.514.0
22,72314,368
63.212,482
54.91,887
13.1
6,56372.1
5,75363.281012.3
6,91760.5
6,12153.679611.5
165,096110,934
67.2104,669
63.46,264
5.6
57,33377.4
54,34473.3
2,9895.2
47,28159.3
45,00256.4
2,2794.8
6,31956.4
5,32347.599615.816.714.7
22,75114,487
63.712,624
55.51,863
12.9
6,69773.4
5,88464.581312.1
6,99361.1
6,22454.476911.0
165,168110,633
67.0104,314
63.26,319
5.7
57,25877.2
54,28373.2
2,9755.2
47,08559.0
44,72456.0
2,3605.0
6,29056.1
5,30647.398415.616.714.6
22,77414,573
64.012,749
56.01,824
12.5
6,63372.7
5,95365.267910.2
7,11762.2
6,25354.686512.1
165,259110,673
67.0104,450
63.26,222
5.6
57,17577.1
54,29773.2
2,8785.0
46,95158.8
44,75556.0
2,1964.7
6,54658.3
5,39848.0
1,14817.519.016.0
22,79914,523
63.712,813
56.21,71011.8
6,62272.5
5,96265.266010.0
7,06561.6
6,31755.174710.6
165,351110,797
67.0105,038
63.55,760
5.2
57,11377.0
54,466'73.42,647
4.6
47,22259.1
45,11056.5
2,1134.5
6,46357.5
5,46248.6
1,00015.517.313.5
22,82414,497
63.512,825
56.21,672
11.5
6,71573.4
6,04866.16669.9
6,99060.9
6,30054.96909.9
165,472110,358
66.7104,555
63.25,804
5.3
57,00276.8
54,35473.2
2,6484.6
46,93858.7
44,68655.9
2,2524.8
6,41857.0
5,51549.090414.114.713.5
22,85514,502
63.512,874
56.31,628
11.2
6,58171.8
5,94464.96379.7
7,03861.3
6,37955.56599.4
165,576110,768
66.9104,831
63.35,936
5.4
57,25477.1
54,46673.3
2,7884.9
47,18359.0
44,94956.2
2,2344.7
6,33056.1
5,41648.091414.416.112.6
22,88314,351
62.712,739
55.71,612
11.2
6,53771.4
5,85464.068310.5
6,93960.4
6,34355.25968.6
165,696111,242
67.1105,400
63.65,842
5.3
57,36377.1
54,67773.5
2,6864.7
47,45159.3
45,22856.5
2,2234.7
6,42756.9
5,49548.793314.515.113.8
22,91714,401
62.812,746
55.61,655
11.5
6,54471.2
5,86063.868410.5
7,01560.9
6,35455.26619.4
165,832111,417
67.2105,756
63.85,661
5.1
57,44577.2
54,91973.8
2,5264.4
47,85159.7
45,62857.0
2,2234.6
6,12154.2
5,21046.191114.916.413.1
22,95514,461
63.012,912
56.21,549
10.7
6,62371.9
5,96064.766210.0
6,99460.7
6,36855.26268.9
165,954111,584
67.2106,012
63.95,573
5.0
57,67777.4
55,07973.9
2,5984.5
47,61759.4
45,54456.8
2,0734.4
6,29155.6
5,38947.790214.314.813.9
22,99014,733
64.113,060
56.81,673
11.4
6,74773.2
6,08866.06599.8
7,04961.0
6,38655.36639.4
JL
12
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 ratio2
UnemployedUnemployment rate
MenWomen
HISPANIC ORIGIN
Civilian noninstitutionai population1
Civilian labor forcePercent of population
EmployedEmployment-population ratio2
UnemployedUnemployment rate
1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct
73234.546321.826936.740.632.8
15,91710,586
66.59,38459.0
1,20211.4
76235.946121.730139.539.239.7
15,96710,575
66.29,476
59.31,099
10.4
74135.246722.227437.038.835.2
16,01410,625
66.39,513
59.41,112
10.5
88940.560727.728131.738.125.5
17,84911,746
65.810,495
58.81,251
10.6
79636.351523.528135.340.130.5
17,89611,835
66.110,650
59.51,185
10.0
82337.554324.728034.037.530.2
17,94211,871
66.210,680
59.51,190
10.0
83738.153424.330336.240.831.3
17,99311,880
66.010,595
58.91,285
10.8
79236.047621.631639.942.836.5
18,04111,929
66.110,801
59.91,127
9.5
88240.055125.033137.640.034.9
18,09211,850
65.510,634
58.81,217
10.3
87639.2542
24.333338.143.032.3
18,14311,949
65.910,736
59.21,212
10.1
84238.153224.131036.842.330.4
18,19311,958
65.710,734
59.01,224
10.2
84438.158426.326130.929.132.8
18,24412,022
65.910,796
59.21,226
10.2
93842.258626.435237.535.939.2
18,29112,245
66.911,094
60.71,151
9.4
1 The population figures are not adjusted for seasonal variation.2 Employment as a percent of the civilian noninstitutionai population.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. Data
for 1994 are not directly comparable with data for 1993 and earlier years.For additional information, see "Revisions in the Current Population SurveyEffective January 1994" in the February 1994 issue of Employment andEarnings.
13
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
1993
Oct. Nov. Dec.
1994
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
98,94557,87656,77041,08540,334
1,841
20,9977,1565,392
13,88611,9093,696
7,0444,1933,8682,8092,590
586
1,623652270
1,016651702
6.66.86.46.46.0
24.1
7.28.44.86.85.2
16.0
99,37358,11557,03241,28440,511
1,830
20,9617,0695,283
13,90011,9163,762
6,7073,9783,5812,7862,542
584
1,565616259957643663
6.36.45.96.35.9
24.2
6.98.04.76.45.1
15.0
99,59558,26557,15641,38640,632
1,807
21,0607,0355,268
14,05612,0393,753
6,7603,9633,6512,7872,568
541
1,489606254868575660
6.46.46.06.35.9
23.0
6.67.94.65.84.6
15.0
97,94057,71456,65740,29139,496
1,787
23,9328,2146,148
15,72013,5234,260
7,1604,2053,7672,9662,749
644
1,581681276890580726
6.86.86.26.96.5
26.5
6.27.74.35.44.114.6
98,57457,97156,94240,60139,8161,817
23,6417,9285,83915,72413,5744,228
7,0084,0703,6772,9502,710621
1,488645280855502706
6.66.66.16.86.4
25.5
5.97.54.65.23.614.3
98,48858,39557,38040,08339,3121,795
23,5397,5365,50016,00413,8024,237
6,9563,8033,5263,0912,835595
1,595701314891552728
6.66.15.87.26.7
24.9
6.38.55.45.33.8
14.7
99,30758,55857,56940,64739,871
1,868
22,9667,4135,400
15,56613,3914,175
6,8333,9103,4992,8952,567
767
1,589627232956595762
6.46.35.76.66.0
29.1
6.57.84.15.84.3
15.4
99,76358,70757,61941,02540,297
1,847
23,1327,5305,560
15,57713,2834,288
6,3193,6173,2302,7012,451
638
1,520651257860530734
6.05.85.36.25.7
25.7
6.28.04.45.23.814.6
99,28658,68857,45740,65339,8541,975
23,1387,4365,46915,66113,3574,312
6,4143,6423,2282,7682,475711
1,426600270835563593
6.15.85.36.45.8
26.5
5.87.54.75.14.0
12.1
99,68458,74457,53840,94640,266
1,880
22,8587,2915,372
15,49513,1574,329
6,5613,8543,4232,7282,424
714
1,466614297840547621
6.26.25.66.25.7
27.5
6.07.85.25.14.0
12.5
100,27059,06557,80541,28740,564
1,901
22,9027,3675,380
15,46413,1504,372
6,4623,7523,3402,7222,469
653
1,566645301910586680
6.16.05.56.25.7
25.6
6.48.05.35.64.3
13.5
100,73659,07657,96341,65840,964
1,809
22,9997,6255,530
15,42013,2044,265
6,3323,6093,1832,8182,546
604
1,389589252773509628
5.95.85.26.35.9
25.0
5.77.24.44.83.712.8
100,96759,47758,30041,51640,7691,898
23,2607,6975,56915,66913,3994,292
6,3093,6583,2672,6662,421621
1,376581218811479679
5.95.85.36.05.6
24.6
5.67.03.84.93.513.7
1 These rates reflect a refined definition of the full- and part-time laborforce and differ from the rates published elsewhere in this publicationprior to 1994.
NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in theCurrent Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
14
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)
Category1993
Oct. Nov. Dec,
1994
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
GovernmentSelf-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
119,94140,81630,6416,784
32,635
36,96516,59913,43016,9963,287
1,6571,274
97
107,72789,251
1,17988,07218,4768,961
229
6,2023,0722,872
15,201
5,9572,9272,773
14,788
120,33240,84230,8726,704
32,739
36,97416,68813,59716,9583,389
1,7191,311
89
107,97589,482
1,10388,37918,4939,011
223
6,1263,0372,810
15,290
5,9042,9052,719
14,858
120,66140,95131,0516,693
32,764
37,24316,73413,44517,2093,325
1,7241,269
92
108,24789,744
1,10488,64018,5039,053
217
6,2173,0992,828
15,373
5,9342,9222,739
14,909
121,97141,48331,5796,796
33,008
37,41116,79613,49417,6853,598
1,6411,590
78
109,52691,364
92890,43618,1638,990
142
5,1672,5612,171
17,744
4,8422,4392,075
17,056
122,25841,32831,7097,133
33,122
37,19117,08713,64417,6453,693
1,6771,633
55
109,54791,395
1,07490,32118,1529,312
143
4,6432,3012,028
17,674
4,3842,1691,944
17,081
122,03741,33131,3107,369
33,152
37,06017,11113,55117,5813,651
1,7191,661
41
109,36590,883
1,03589,84918,4819,146
117
4,9922,5382,138
17,519
4,7622,4112,089
16,893
122,33841,38031,345
7,191
33,415
36,79617,10713,23217,8883,677
1,6931,710
43
109,74991,356
1,04390,31318,3938,982
131
4,7572,3632,101
17,072
4,6132,2412,078
16,463
122,87241,36731,3247,094
34,103
36,62416,95813,58417,9473,609
1,7571,654
40
110,24391,770
99790,77318,4739,138
121
4,8782,5712,026
17,346
4,6882,4491,993
16,721
122,43041,28731,0546,978
33,901
36,81117,00613,30517,9343,419
1,6291,582
46
110,05291,729
96490,76518,3228,946
154
4,7852,5351,981
17,339
4,5902,4301,935
16,842
122,45241,22431,379
7,013
33,859
37,19416,89913,33017,7623,487
1,6371,606
50
110,08291,825
93490,89118,2568,970
138
4,4252,4301,664
18,059
4,2242,3151,627
17,443
123,16641,47531,5676,932
33,931
37,35816,79413,46817,9643,660
1,7371,667
47
110,39392,205
84391,36218,1889,055
141
4,2842,3931,569
18,171
4,0922,2711,539
17,559
123,62841,57731,967
7,016
34,303
37,71116,68513,43818,0193,647
1,7021,616
64
111,15992,834
87191,96318,3258,971
134
4,2602,4031,643
17,599
4,0752,2901,592
16,946
124,23641,44131,746
7,126
34,284
37,69717,05313,39818,1673,663
1,7931,636
41
111,78693,650
91092,74018,1368,792
133
4,4052,3631,780
17,660
4,1862,2121,744
16,969
1 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 whousually work full time but worked only 1 to 34 hours during the reference weekfor reasons such as holidays, illness, and bad weather.
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the CurrentPopulation Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
15
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 sex1993
Oct. Nov. Dec.
1994
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
119,941
17,6485,5262,1623,375
12,122102,31087,47914,787
64,971
9,1792,7991,1061,7016,380
55,82347,496
8,318
54,970
8,4692,7271,0561,6745,742
46,48739,9836,469
120,332
17,6635,5942,1943,406
12,069
120,661
17,7095,5862,2403,350
12,123102,665 102,97687,96814,806
65,144
9,1712,8291,1331,7056,342
55,97047,791
8,241
55,188
8,4922,7651,0611,7015,727
46,69540,1776,565
88,19714,831
65,259
9,1652,8151,1521,6706,350
56,08947,860
8,253
55,402
8,5442,7711,0881,6805,773
46,88740,337
6,578
121,971
18,6376,1152,4353,657
12,522103,31288,30815,036
65,963
9,7113,1211,2201,8866,590
56,24447,944
8,333
56,007
8,9262,9941,2151,7715,932
47,06940,3646,703
122,258 122,037
18,8986,0762,3513,706
12,822103,40288,58214,862
65,921
9,9393,1431,2051,9256,795
56,03547,943
8,115
56,336
8,9592,9331,1471,7816,026
47,36740,640
6,747
18,7236,0592,3633,674
12,664
122,338
18,7986,1162,4083,704
12,683103,352 103,45188,75014,614
65,940
9,7543,0831,1971,8766,671
56,20348,173
8,036
56,097
8,9702,9761,1671,7995,993
47,14940,578
6,578
88,70914,709
66,036
9,8083,0781,2421,8426,730
56,18248,117
8,070
56,302
8,9913,0381,1661,8625,953
47,26940,5916,639
122,872
19,0066,1592,5103,661
12,847103,95188,91514,939
66,301
9,9403,1091,2621,8456,831
56,38748,191
8,126
56,571
9,0663,0501,2481,8166,016
47,56440,724
6,813
122,430
19,1936,3332,5303,765
12,860103,29988,49714,784
66,135
9,9923,2191,2511,9446,772
56,17448,046
8,116
56,295
9,2013,1141,2781,8216,088
47,12540,4516,668
122,452
18,7766,1682,4993,673
12,608103,70688,90114,730
66,036
9,8033,1471,2911,8666,657
56,23248,064
8,102
56,416
8,9733,0211,2081,8075,952
47,47340,837
6,628
123,166 123,628
18,9186,2392,5933,653
12,679104,18789,33414,916
66,452
9,9613,2361,2951,9246,725
56,43248,1638,255
56,714
8,9583,0031,2991,7295,955
47,75441,171
6,661
18,8126,0462,5503,498
12,767
124,236
19,1186,2072,6563,529
12,911104,856 105,19389,93014,909
66,572
3,1511,3491,8066,818
56,62248,382
8,259
57,056
8,8432,8951,2011,6925,949
48,23441,548
6,650
90,02015,053
67,086
10,1583,2551,4081,8236,903
56,97648,595
8,364
57,150
8,9602,9531,2481,7066,008
48,21741,4266,690
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
A-8. Unemployed persons by age and sex, seasonally adjusted
(In thousands)
Age and sex1993
Oct. Nov. Dec.
1994
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
8,639
2,6161,286
566724
1,3306,0165,369
699
4,849
1,475715312404760
3,3652,961
417
3,790
1,141571254320570
2,6512,408
282
8,330
2,5681,249
566687
1,3195,7475,124
649
4,586
1,438703314388735
3,1412,755
391
3,744
1,130546252299584
2,6062,369
258
8,237
2,4801,208
527689
1,2725,7505,106
657
4,554
1,389677286390712
3,1712,774
411
3,683
1,091531241299560
2,5792,332
246
8,696
2,9221,378
654700
1,5445,8575,107
723
4,781
1,670816384418854
3,1942,787
408
3,916
1,252562271283690
2,6642,320
315
8,518
2,7531,325
656668
1,4285,7385,075
670
4,723
1,530737338397793
3,1692,782
401
3,795
1,223588318272635
2,5682,293
269
8,543
2,8551,311
586725
1,5435,6804,993
700
4,589
1,559723341386835
3,0102,625
385
3,954
1,296588245339708
2,6702,369
316
8,408
2,9211,520
765764
1,4005,4694,793
644
4,585
1,627843421427784
2,9542,557
373
3,823
1,294678344337617
2,5152,236
272
7,902
2,7091,375
648738
1,3335,1824,517
641
4,283
1,538783377418754
2,7292,350
368
3,619
1,171592271320579
2,4532,167
274
7,817
2,6201,292
638669
1,3285,2054,581
601
4,193
1,431700355363730
2,7542,410
340
3,625
1,189591283306598
2,4512,172
261
8,005
2,7071,327
649670
1,3805,2964,666
644
4,478
1,558771341424787
2,9192,524
395
3,528
1,149555308247593
2,3772,142
250
8,023
2,7531,320
648668
1,4325,2694,582
4,381
1,552741344392811
2,8332,440
373
3,642
1,200579304276621
2,4362,142
294
7,715
2,5781,240
586656
1,3385,1534,553
579
4,123
1,419705323381714
2,7272,364
341
3,592
1,159535263275624
2,4272,188
238
7,600
2,5571,296
553747
1.2615,0794,463
622
4,155
1,423709297419714
2,7622,362
371
3,445
1,134587256327547
2,3162,102
250
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
16
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
A-9. Unemployment rates by age and sex, seasonally adjusted
HOUSEHOLD DATASEASONALLY ADJUSTED
Age and sex1993
Oct. Nov. Dec.
1994
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
6.7
12.918.920.717.79.95.65.84.5
6.9
13.820.322.019.210.65.75.94.8
6.4
11.917.319.416.09.05.45.74.2
6.5
12.718.320.516.89.95.35.54.2
6.6
13.619.921.718.510.45.35.54.5
6.4
11.716.519.214.99.35.35.63.8
6.4
12.317.819.017.19.55.35.54.2
6.5
13.219.419.918.910.15.45.54.7
6.2
11.316.118.115.18.85.25.53.6
6.7
13.618.421.216.111.05.45.54.6
6.8
14.720.723.918.111.55.45.54.7
6.5
12.315.818.213.810.45.45.44.5
6.5
12.717.921.815.310.05.35.44.3
6.7
13.319.021.917.110.55.45.54.7
6.3
12.016.721.713.29.55.15.33.8
6.5
13.217.819.916.510.95.25.34.6
6.5
13.819.022.217.111.15.15.24.6
6.6
12.616.517.415.810.65.45.54.6
6.4
13.419.924.117.19.95.05.14.2
6.5
14.221.525.318.810.45.05.04.4
6.4
12.618.222.815.39.45.15.23.9
6.0
12.518.320.516.89.44.74.84.1
6.1
13.420.123.018.59.94.64.74.3
6.0
11.416.317.815.08.84.95.13.9
6.0
12.016.920.115.19.44.84.93.9
6.0
12.517.922.115.79.74.74.84.0
6.0
11.416.018.114.48.94.95.13.8
6.1
12.617.720.615.49.94.95.04.2
6.3
13.719.720.918.510.64.95.04.6
5.9
11.315.520.312.09.14.85.03.6
6.1
12.717.520.015.510.24.84.94.3
6.2
13.518.621.016.910.84.84.84.3
6.0
11.816.219.013.89.44.94.94.2
5.9
12.117.018.715.89.54.74.83.7
5.8
12.518.319.317.49.54.64.74.0
5.9
11.615.618.014.09.54.85.03.4
5.8
11.817.317.217.58.94.64.74.0
5.8
12.317.917.418.79.44.64.64.3
5.7
11.216.617.016.18.34.64.83.6
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
17
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
Category1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
CHARACTERISTIC
TotalMen, 20 years and overWomen, 20 years and overBoth sexes, 16 to 19 years
WhiteBlack and otherBlackHispanic 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
6.76.25.8
18.9
6.110.911.911.4
4.44.89.3
2.85.37.99.88.1
6.98.46.5
13.76.96.96.96.35.57.93.75.93.1
11.8
6.55.95.7
18.3
5.611.312.510.4
4.04.49.0
2.95.26.79.27.8
6.78.07.2
12.26.76.57.06.25.27.73.75.93.0
10.3
6.45.85.7
17.8
5.610.711.510.5
3.94.3
10.2
2.85.17.49.18.7
6.67.96.9
12.76.56.36.86.25.17.43.75.93.1
11.3
6.75.96.0
18.4
5.811.613.110.6
4.14.49.4
2.95.47.0
10.08.4
7.07.85.1
13.96.15.37.36.75.58.13.76.63.8
13.6
6.56.05.7
17.9
5.611.312.910.0
4.34.39.7
2.95.46.89.58.8
6.87.64.0
13.36.15.57.16.55.28.03.66.33.2
14.3
6.55.86.0
17.8
5.711.312.510.0
4.14.49.6
2.75.77.28.8
10.3
6.87.75.5
13.56.15.76.86.44.77.92.96.53.9
13.8
6.45.65.6
19.9
5.610.811.810.8
3.94.19.1
2.65.26.59.88.2
6.67.36.8
12.65.85.56.36.35.67.73.46.13.5
10.7
6.05.25.4
18.3
5.210.411.59.5
3.74.08.9
2.35.26.58.87.3
6.26.97.6
11.65.55.25.86.04.67.33.55.83.38.3
6.05.35.4
16.9
5.310.211.210.3
3.54.38.7
3.05.26.18.46.9
6.26.86.2
11.85.35.05.66.04.77.14.15.93.98.4
6.15.65.3
17.7
5.410.411.210.1
3.74.07.8
2.64.75.79.69.7
6.46.96.1
10.95.85.75.96.25.37.53.75.93.4
12.6
6.15.45.4
17.5
5.310.811.510.2
3.54.28.9
2.55.06.28.98.6
6.26.55.1
10.55.45.55.26.14.97.53.85.83.7
11.1
5.95.15.3
17.0
5.110.310.710.2
3.44.19.0
2.54.76.18.58.1
6.06.65.5
10.75.45.45.45.84.56.94.55.53.1
10.9
5.85.15.0
17.3
5.010.611.49.4
3.34.08.9
2.54.55.78.78.6
5.96.34.4
10.55.14.75.65.84.37.43.45.33.19.8
1 Seasonally adjusted data for service occupations are not availablebecause the seasonal components are small relative to the trend-cycle and/orirregular components and consequently cannot be separated with sufficientprecision.
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the CurrentPopulation Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
18
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)
Reasons for unemployment
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 leaversReentrantsNew entrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobsJob leaversReentrantsNew entrants
1993
Oct.
4,7791,2163,563
9572,084
839
100 055.214041 111 124.1
97
3.7.7
1 6.7
Nov.
4,444963
3,481960
2,084833
100 053.411 641 811 525.0100
3.5.7
1 6.6
Dec.
4,4421,0603,382
9322,018
797
100 054.212941 311 424.697
3.4.7
1 6.6
1994
Jan.
4,4421,1963,246
7622,831
651
100 051.113 837 4
8832.6
75
3.4.6
22.5
Feb.
4,1851,1093,075
8882,898
641
100 048.612935 710333.774
3.27
22.5
Mar.
4,037983
3,054873
3,054643
100 046.911 435 510 135.5
75
3.1.7
23.5
Apr.
3,790947
2,843825
3,235689
100 044.411 133 3
9737.98 1
2.96
25.5
May
3,531785
2,746796
2,838609
100 045.410 135 310236.5
78
2.76
22.5
June
3,664911
2,753782
2,798462
100 047.511 835 710236.360
2.86
2 1.4
July
3,9041,0532,851
7552,781
587
100 048.613 135 5
9434.7
73
3.06
2 1.4
Aug.
3,8131,0222,791
7512,779
650
100 047 712834 9
9434.8
8 1
2.96
2 1.5
Sept.
3,570791
2,779892
2,579611
100 046 710336 311 733.7
80
2.77
20.5
Oct.
3,528808
2,720767
2,614616
100 046 910736 110234.7
82
2.76
20.5
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
A-12. Unemployed persons by duration of unemployment, seasonally adjusted
(Numbers in thousands)
Duration1993
Oct. Nov. Dec.
1994
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
3,1562,4913,0301,2841,746
18.48.3
100.036.428.734.914.820.1
2,9462,4012,9711,2161,755
18.98.5
100.035.428.935.714.621.1
3,0632,2472,8641,1501,714
18.28.2
100.037.527.535.014.121.0
3,3492,3363,0271,3141,713
18.38.5
100.038.426.834.715.119.7
2,5742,7273,1031,3591,744
18.79.0
100.030.632.536.916.220.8
2,7582,5493,1101,2641,847
19.29.1
100.032.830.337.015.021.9
2,8632,4342,9511,1681,782
19.19.2
100.034.729.535.814.221.6
2,6312,4372,8011,0931,708
19.69.2
100.033.431.035.613.921.7
2,8502,4832,6831,1511,532
18.38.9
100.035.631.033.514.419.1
2,8712,3612,8551,2691,586
19.29.3
100.035.529.235.315.719.6
2,6182,6322,7931,2191,575
19.29.0
100.032.532.734.715.219.6
2,6682,3062,8411,2491,593
19.210.0
100.034.129.536.416.020.4
2,3782,3063,0261,4031,623
19.610.4
100.030.829.939.318.221.1
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
19
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutionai population by age, sex, and race
(Numbers in thousands)
Age, sex, and race
October 1994
Civiliannoninsti-tutionai
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
197,43014,2617,3076,954
18,314113,04641,11519,16221,95441,80721,95419,85330,12416,88413,23920,66610,7809,887
31,1419,7108,589
12,843
94,6717,2323,7483,4849,079
55,55220,231
9,41210,81820,60210,8249,779
14,7208,2916,4299,8265,1724,654
12,9814,3803,7634,839
102,7587,0293,5583,4719,235
57,49420,8859,749
11,13521,20511,13010,07415,4048,5946,811
10,8405,6075,233
18,1605,3304,8268,004
131,8797,1853,0584,127
14,06494,87834,46615,95318,51335,69718,64217,05524,71414,29710,41711,8877,3554,5313,8652,1811,010
675
71,1683,7761,6152,1617,553
51,10218,8138,679
10,13419,15610,0509,105
13,1347,5625,5716,5394,0292,5092,1981,200
615383
60,7113,4091,4431,9666,512
43,77515,6547,2748,379
16,5418,5927,949
11,5816,7354,8465,3483,3262,0221,667
980394292
66.850.441.959.376.883.983.883.384.385.484.985.982.084.778.757.568.245.812.422.511.85.3
75.252.243.162.083.292.093.092.293.793.092.993.189.291.286.766.577.953.916.927.416.47.9
59.148.540.556.770.576.175.074.675.278.077.278.975.278.471.149.359.338.6
9.218.48.23.7
124,7245,9572,5413,416
12,89190,70732,60314,99417,60934,27317,82016,45223,83113,78610,04511,4667,0624,4043,7022,078
974651
67,4243,1291,3401,7896,913
48,99017,8698,1659,704
18,4369,6438,794
12,6857,3135,3726,2913,8552,4362,1001,138
595367
57,3012,8281,2011,6275,978
41,71814,7356,8297,90615,8368,1787,65911,1476,4734,6735,1753,2071,9681,603940378284
63.241.834.849.170.480.279.378.380.282.081.282.979.181.675.955.565.544.511.921.411.35.1
71.243.335.851.476.188.288.386.789.789.589.189.986.288.283.664.074.552.416.226.015.87.6
55.840.233.746.964.772.670.670.071.074.773.576.072.475.368.647.757.237.68.817.67.83.5
3,523257145112320
2,15476336140180041738359230728544324519834816210086
2,59621812098
2641,5475762663105732882853992141853041641392621237464
92739251456
6071879592
2271299819392100139805986392621
121,2025,7002,3963,30412,57188,55331,84114,63317,20833,47217,40316,06923,24013,4799,76011,0236,8174,2063,3541,916874565
64,8282,9111,2201,6916,649
47,44217,2937,8999,394
17,8649,3558,509
12,2867,0985,1875,9883,6912,2971,8381,014
521302
56,3742,7891,1761,6135,922
41,11114,5486,7347,81415,6098,0487,56010,9546,3814,5735,0363,1271,9091,517902352263
7,1551,228517711
1,1734,1701,863959904
1,4258226038835113724212941271631033625
3,745647275371639
2,1129445144307204083124492501992481757399632016
3,410581242339534
2,05891944547470541429143426217217311954644016
5.417.116.917.28.34.45.46.04.94.04.43.53.63.63.63.54.02.84.24.73.53.6
5.317.117.017.28.54.15.05.94.23.84.13.43.43.33.63.84.32.94.55.23.24.3
5.617.016.817.38.24.75.96.15.74.34.83.73.73.93.63.23.62.73.94.14.12.8
65,5507,0764,2492,8274,25018,1696,6493,2093,4406,1103,3122,7985,4102,5872,8228,7803,4245,355
27,2767,5297,57912,168
23,5033,4562,1331,3231,5264,4501,418734684
1,446773673
1,586729857
3,2881,1432,14510,7833,1803,1474,456
42,0473,6202,1161,5042,72413,7185,2312,4752,7564,6642,5392,1253,8241,8591,9655,4922,2813,211
16,4934,3494,4327,712
20
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 1994
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Agri-culture
Nonagri-cultural
industries
Unemployed
Number
Percentof
laborforce
Not
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 years •..25 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
165,95411,3075,7475,559
14,61294,23833,72315,57618,14734,78318,18816,59525,73214,38211,35117,9339,3208,613
27,8658,5847,647
11,634
80,2745,7702,9572,8137,310
46,89016,8457,7739,073
17,3529,0868,266
12,6937,1225,5718,6244,5214,103
11,6803,9213,3494,409
85,6815,5372,7902,7467,302
47,34816,8777,8039,074
17,4319,1028,329
13,0407,2605,7809,3094,7994,510
16,1854,6634,2987,224
111,5776,0522,6283,424
11,54280,00128,68513,18515,50129,96215,59914,36221,35412,3139,040
10,4426,4214,0213,5402,007
929604
60,8933,1891,3941,7966,243
43,63315,8657,2618,60416,2988,5417,75711,4706,5884,8825,7963,5422,2542,0321,101570361
50,6842,8621,2341,6285,299
36,36812,8215,9246,897
13,6647,0586,6069,8835,7254,1584,6462,8801,7671,508
906359244
67.253.545.761.679.084.985.184.685.486.185.886.583.085.679.658.268.946.712.723.412.15.2
75.955.347.163.885.493.194.293.494.893.994.093.890.492.587.667.278.354.917.428.117.08.2
59.251.744.259.372.676.876.075.976.078.477.579.375.878.971.949.960.039.29.3
19.48.33.4
106,4355,2092,2332,975
10,75676,98227,37412,53114,84328,93614,99213,94420,67111,9138,758
10,0946,1713,9233,3941,913
894587
58,1562,7461,1941,5525,789
42,08915,1756,9008,274
15,7788,2437,535
11,1356,3974,7385,5863,3902,1961,9461,045
552349
48,2792,4621,0401,4234,967
34,89312,1995,6316,56913,1586,7496,4099,5365,5164,0204,5092,7821,7271,448868342238
64.146.138.953.573.681.781.280.581.883.282.484.080.382.877.256.366.245.512.222.311.75.0
72.447.640.455.279.289.890.188.891.290.990.791.287.789.885.164.875.053.516.726.616.57.9
56.344.537.351.868.073.772.372.272.475.574.276.973.176.069.548.458.038.38.918.68.03.3
3,273254144110276
1,9726823163657373783595532802734302351953411589885
2,38721511897
2281,3955092342765182532643681921762941581362551207264
392513485771728389
219124951868997136775986382621
103,1634,9552,0902,86510,48175,01026,69212,21514,47828,19914,61413,58520,11811,6338,4859,6645,9363,7283,0531,755796502
55,7692,5311,0751,4565,561
40,69414,6656,6677,999
15,2617,9907,271
10,7686,2064,5625,2923,2322,0601,691
925480286
47,3932,4241,0141,4104,919
34,31612,0275,5486,47912,9386,6256,3149,3505,4273,9234,3722,7041,6681,362830316216
5,141843394449786
3,0191,311654658
1,02660741868240028234825098146943518
2,737443200243454
1,5446903603295192982213351911442101525886561812
2,404400194205332
1,4756212933285063091973472091381389840603817
4.613.915.013.16.83.84.65.04.23.43.92.93.23.23.13.33.92.44.14.73.72.9
4.513.914.413.67.33.54.35.03.83.23.52.92.92.93.03.64.32.64.25.13.13.2
4.714.015.712.66.34.14.85.04.83.74.43.03.53.73.33.03.42.34.04.24.62.4
54,3775,2553,1202,1353,07014,2375,0372,3912,6464,8212,5882,2334,3792,0682,3117,4902,8984,59224,3256,5786,71811,029
19,3812,5801,5631,0171,0673,257981512469
1,054545509
1,222534689
2,828979
1,8489,6482,8212,7794,049
34,9972,6751,5571,1182,00210,9804,0571,8802,1773,7672,0431,7243,1561,5341,6224,6631,9192,74314,6773,7573,9406,981
21
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutionai population by age, sex, and race—Continued
(Numbers in thousands)
Age, sex, and race
October 1994
Civiliannoninsti-tutionai
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Agri-culture
Nonagri-cultural
industries
Unemployed
Number
Percentof
laborforce
Notin
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
22,9902,2231,2021,0212,64113,5395,3262,5172,8095,0852,7522,3333,1291,8021,3272,0521,095957
2,535848737950
10,3131,092595497
1,2336,1062,3691,0941,2752,3251,2691,0561,412819593892481410990346319326
12,6781,131607525
1,4087,4332,9571,4231,5342,7601,4831,2771,716983734
1,160614546
1,545502418624
14,716860335526
1,84510,7264,2131,9732,2404,1582,2321,9262,3561,422934
1,0336743592521326555
7,199439164275942
5,1812,071971
1,1002,0021,078924
1,108656452511341171126723717
7,517421170251903
5,5462,1411,0021,1402,1561,1541,0021,249766482521333188126602838
64.038.727.851.569.979.279.178.479.781.881.182.575.378.970.450.361.537.59.9
15.58.85.8
69.840.227.655.376.484.887.488.886.386.184.987.578.480.076.2 '57.470.841.612.720.911.55.1
59.337.228.147.864.174.672.470.474.378.177.878.472.778.065.744.954.234.48.2
11.96.76.1
13,146535231304
1,5219,8703,7851,7352,0503.8622,0731,7892,2241,345
8799826443382371266348
6,442281106176786
4,7741,891
8581,0331,848
999849
1,035618417485323161116693512
6,704254125129735
5,0961,894
8761,0182,0141,074
9391,189
727462498321177121572836
57.224.119.229.857.672.971.168.973.075.975.376.771.174.666.347.958.835.49.4
14.98.65.1
62.525.817.835.463.778.279.878.581.079.578.780.473.375.470.454.367.139.311.820.010.93.8
52.922.420.724.552.268.664.061.666.473.072.573.569.374.062.942.952.232.4
7.811.36.75.8
269646281830171419119
1182322
2282351718291712191029852322
21
4141212
13,012536232304
1,4959,7753,7391,7072,0323,8312,0561,7752,2041,334
8709726363362351246249
6,329282106176763
4,6921,856
8421,0151,819
982837
1,016608409477318159114683313
6,683254125128731
5,0821,882
8651,0182,0121,074
9381,188
727462495318177121572836
1,570325104221324856428238189296159137132775550302014627
7571585999
15640618011367
1547975723835271899324
81316745
122168450247125122142796360402023121153
10.737.831.042.117.68.0
10.212.18.57.17.17.15.65.45.94.84.45.75.74.4
10.535.935.736.116.67.88.7
11.66.17.77.38.16.55.77.75.35.25.47.2
0)
10.839.726.448.718.68.1
11.612.510.76.66.96.34.85.24.24.43.65.94.2
(1)
0
8,2751,363
867495796
2,8131,113
544569927520407773380393
1,020422598
2,283716672895
3,114653431222291925298123175323191132305164141380141240865274282309
5,160710436274505
1,888816422394604329275468216252639281358
1,419443390586
1 Data not shown where base is less than 75,000.NOTE: Data for 1994 are not directly comparable with data for 1993 and earlier years.
For additional information, see "Revisions in the Current Population Survey EffectiveJanuary 1994" in the February 1994 issue of Employment and Earnings.
22
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.1993
Oct.1994
Men, 20 years andover
Oct.1993
Oct.1994
Women, 20 years andover
Oct.1993
Oct.1994
Both sexes, 16 to 19years
Oct.1993
Oct.1994
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
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Black
Civilian noninstitutional population .Civilian labor force s
Percent of populationEmployed
AgricultureNonagricultural industries
Unemployed ....Unemployment rate
Not in labor force
194,151128,547
66.2120,446
3,071117,375
8,1016.3
65,604
164,309109,876
66.9103,673
2,869100,803
6,2045.6
54,433
22,44213,928
62.112,384
13512,2481,54411.1
8,514
197,430131,879
66.8124,724
3,523121,202
7,1555.4
65,550
165,954111,577
67.2106,435
3,273103,163
5,1414.6
54,377
22,99014,716
64.013,146
13413,0121,57010.7
8,275
86,15666,305
77.062,6172,306
60,3113,688
5.619,851
73,90157,344
77.654,4812,127
52,3542,863
5.016,558
9,0716,492
71.65,846
1205,726
64610.0
2,579
87,43967,392
77.164,294
2,37761,917
3,0984.6
20,047
74,50457,703
77.555,4102,172
53,2382,294
4.016,800
9,2216,760
73.36,161
1156,046
5998.9
2,461
94,65655,716
58.952,526
60751,9193,190
5.738,940
79,78246,866
58.744,467
59043,878
2,3995.1
32,916
11,2516,778
60.26>121
116,109
6579.7
4,473
95,72957,302
59.954,473
88853,5852,829
4.938,427
80,14447,822
59.745,817
84844,969
2,0054.2
32,322
11,5467,09661.5
6,45021
6,4296469.1
4,451
13,3396,52648.9
5,303158
5,1451,223
18.76,813
10,6255,66653.3
4,724152
4,57294216.6
4,959
2,12165831.0417
441324136.7
1,462
14,2617,185
50.45,957
2575,7001,228
17.17,076
11,3076,052
53.55,209
2544,955
84313.9
5,255
2,22386038.7535
53632537.8
1,363
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
23
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
Civiliannoninsti-tutional
population
16,91311,1045,810
8,0708,8437,2261,618
8,4415,6602,781
4,2854,1563,471
684
8,4735,4443,029
3,7854,6883,754
934
13,4618,8104,651
6,7496,712
6,2847,1775,8481,329
2,4301,721
709
1,1561,274
1,3941,036
855181
1,7321,230
501
892839
1,051680430
,• 250
October 1994
Civilian labor force
Total
8,6034,9483,655
3,4155,1893,7551,434
4,2372,5111,726
1,8302,4071,799
607
4,3672,4381,929
1,5852,7821,955
827
7,2664,2213,045
3,5933,673
2,8794,3873,1951,191
936553383
435501
430506354152
729404325
375355
301428221207
Percent ofpopulation
50.944.662.9
42.358.752.088.7
50.244.462.1
42.757.951.888.8
51.544.863.7
41.959.352.188.6
54.047.965.5
53.254.7
45.861.154.689.6
38.532.254.0
37.739.3
30.948.941.484.2
42.132.964.9
42.042.3
28.762.951.482.6
Employed
Total
7,6684,1843,484
2,8064,8623,4731,389
3,7422,1131,629
1,5062,2351,649
586
3,9262,0711,855
1,3002,6261,824
803
6,6103,6722,938
3,2303,380
2,4454,1653,0041,161
701367334
337364
274427285142
621311310
314306
219402203198
Fulltime
1,484356
1,127
1681,315
488827
739185553
104634252382
745171574
64681236445
1,253305948
634619
1381,114
429685
15339
114
6687
221314586
16941
128
9772
3513427
107
Parttime
6,1843,8282,356
2,6383,5462,985
561
3,0031,9281,075
1,4021,6011,398
204
3,1811,9001,281
1,2361,9451,587
358
5,3573,3671,990
2,5962,761
2,3063,0512,575
476
548328220
271277
252296240
57
451270182
217234
18426717691
Unemployed
Total
935764172
60832728246
495397
97
32417115021
440366
74
28415613224
656549107
363293
43522219130
23518649
98137
156796910
1099415
6048
8226188
Lookingfor
full-timework
16510461
80856718
925240
43503812
725221
373529
6
845826
5529
50342411
734231
3043
3042384
22174
184
1655
Lookingfor
part-timework
771660111
528242215
27
402345
57
281121112
9
368315
54
247121103
18
572491
81
308264
38518716720
162144
18
6894
12637316
877611
4345
662113. 8
Percentof
laborforce
10.915.44.7
17.86.37.53.2
11.715.85.6
17.77.18.33.5
10.115.03.8
18.05.66.73.0
9.013.03.5
10.18.0
15.15.16.02.5
25.133.612.7
22.527.4
36.315.619.56.5
14.923.14.7
16.113.7
27.36.28.24.0
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
Men ...Women ,
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.
24
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 1994
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
Hispanic origin
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
15,6623,158
12,504
3,6796,8163,5841,583
7,8701,5726,298
1,9723,5281,669
702
7,7921,5856,206
1,7073,2891,915
881
12,4572,4979,961
6,3306,127
2,7925,4112,8761,378
2,434502
1,932
1,1691,265
6161,135
560123
2,671584
2,087
1,4511,219
1,30891837867
12,6462,237
10,409
2,2755,6533,2291,490
7,0921,2665,827
1,5963,2211,593
682
5,554971
4,582
6792,4311,636
807
10,3281,8308,498
5,8394,489
1,8034,5882,6301,307
1,769307
1,462
946823
325851483110
1,936362
1,573
1,305631
83071832761
80.770.883.2
61.882.990.194.1
90.180.592.5
80.991.395.497.2
71.361.373.8
39.873.985.491.6
82.973.385.3
92.273.3
64.684.891.494.8
72.761.175.7
80.965.1
52.874.986.289.9
72.562.175.4
89.951.7
63.478.286.5
11,1801,7739,407
1,8015,0082,9721,399
6,3011,0165,285
1,3122,8781,468
642
4,879756
4,123
4892,1301,503
757
9,3551,5367,819
5,3054,050
1,4764,1672,4771,235
1,355168
1,187
729625
212654383106
1,683280
1,403
1,173510
71561329956
9,3311,2538,078
1,4404,0822,5201,290
5,599821
4,777
1,1192,5211,347610
3,733432
3,301
3211,5611,173679
7,8761,1116,765
4,7693,108
1,2103,4092,1221,136
1,072106967
598474
141524307
1,442209
1,233
1,049393
617514256
55
1,849520
1,329
361926452110
703195508
19235712132
1,146325821
168569331
78
1,479425
1,053
537942
267758355
99
28262
220
132151
70130767
24172
170
124117
98100
431
1,466464
1,002
474644257
90
791249542
28434312440
675215460
19030113350
973294679
534439
32742115371
414139276
216198
113197100
5
25282
170
132120
11510528
5
1,336407929
41859124186
746231514
264323121
38
590176414
15526812048
871254616
499372
285380139
67
396129267
212184
10618897
5
21771
146
112104
929426
5
1305773
565316
4
461828
212042
843945
3534132
1024062
3567
4242144
18109
514
792
361125
2016
23113
11.620.89.6
20.911.48.06.1
11.219.79.3
17.810.67.85.8
12.122.110.0
28.012.48.16.2
9.416.18.0
9.19.8
18.19.25.85.5
23.445.318.8
22.924.1
34.923.120.64.2
.13.022.610.8
10.119.0
13.814.68.6
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-origingroups will not sum to totals because data for the "other races" group are not
presented and Hispanics are included in both the white and black populationgroups. Data for 1994 are not directly comparable with data for 1993 and earlieryears. For additional information, see "Revisions in the Current Population SurveyEffective January 1994" in the February 1994 issue of Employment and Earnings.
25
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 1994
Employed1
Full-time workers
Total
At work
35hours
ormore
1 to 34hours foreconomic
ornoneconomic
reasons
Notat
work
Part-time workers
Total
At work2
Part time foreconomicreasons
Part timefor
noneconomicreasons
Notat
work
Unemployed
Lookingfor
full-timework
Lookingfor
part-timework
TOTAL
Total, 16 years and over16 to 19 years
16 to 17 years18 to 19 years ,
20 years and over ,20 to 24 years25 years and over
25 to 54 years '.55 years and over
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over .'.
25 to 54 years ....55 years and over
Women, 16 years and over16 to 19 years ,20 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 f....
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 years ,20 years and over
20 to 24 years25 years and over
25 to 54 years ,55 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
101,0511,609175
1,43599,4429,206
90,23679,31510,921
59,5981,007
58,5925,33153,26146,5586,703
41,453603
40,8503,87536,97532,7574,218
51,511896
50,6134,50546,10840,1245,985
34,202518
33,6853,209
30,47626,859. 3,617
5,63681
5,554583
4,9714,474498
5,46964
5,405497
4,9084,462446
85,7811,307144
1,16484,4737,94576,52967,7118,817
51,789832
50,9574,73946,21840,7055,514
33.992475
33,5163.20630,31027.0073,303
44,835742
44,0934,02440,07035,1664,904
27,956403
27,5532,66024,89322,0782,816
4,82369
4,754494
4,2613,837423
4,50754
4,453395
4,0583,692366
11,98425628228
11,7281,06410,6649,1231,541
6,073136
5,937523
5,4144,565849
5,910120
5,791541
5,2504,558691
5,174126
5,048423
4,6253,857768
4,939108
4,831456
4,3753,774602
6415
6358255449658
7838
77577
69863761
3,28746343
3,241197
3,0432,481563
1,73638
1,69869
1,6281,289340
1,5518
1,543128
1,4151,192223
1,50230
1,47158
1,4131,101313
1,3087
1,30093
1,2071,007200
1727
1658
15714117
1791
1782615213319
23,6734,3482,3671,981
19,3253,68515,64011,3924,248
7,8262,1235,7031,5834,1202,4321,688
15,8482,22513,6232,10211,5208,9602.560
6,6451,8484,7971,2853,5131,9651,548
14,0771,94512,1321,75910,3748,0342,339
806200607203404301103
1,235190
1,044238807634173
3,14028939250
2,851607
2,2442,001243
1,336111
1,22529293386073
1,804178
1,626315
1,3111,141170
1,0348495122672466559
1,416147
1,269249
1,020882138
21222190511391345
3002127956
22320023
19,3553,9172,2421,67515,4382,973
12,4668,8153,651
6,1361,9444,1931,2552,9381,4541,483
13,2191,973
11,2461,7189,5287,3612,167
5,3171,7183,5991,0232,5761,2171,359
11,9221,733
10,1891,4558,7346,7381,996
54616038615223413797
883165718173545407138
1,1781428656
1,036106930575355
3536828536249117132
8247475170
- 681459222
294462483521383130
7396567455620414206
491830
31301
524479392712
5,671511102409
5,160990
4,1703,737433
3,149283
2,865555
2,3112,030281
2,522227
2,295435
1,8601,707153
2,269173
2,096381
1,7151,477239
1,713139
1,574262
1,3121,188124
6679157615042639431
6488056814742140318
1,484717415302767183583433150
596363233851488266
8883545349943535184
468270198731256857
6912604317036128774
906723617125
165877821574710
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 usualstatus.
2 Includes some persons at work 35 hours or more classified by their reason for
working part time.NOTE: Data for 1994 are not directly comparable with data for 1993 and earlier
years. For additional information, see "Revisions in the Current Population SurveyEffective January 1994" in the February 1994 issue of Employment and Earnings.
26
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.1993
Oct.1994
Men
16 yearsand over
Oct.1993
Oct.1994
20 yearsand over
Oct.1993
Oct.1994
Women
16 yearsand over
Oct.1993
Oct.1994
20 yearsand over
Oct.1993
Oct.1994
Total
Managerial and professional specialtyExecutive, administrative, and managerial
Officials and administrators, public administrationOther executive, administrative, and managerialManagement-related occupations
Professional specialtyEngineersMathematical and computer scientistsNatural scientistsHealth diagnosing occupationsHealth assessment and treating occupationsTeachers, college and universityTeachers, except college and universityLawyers and judgesOther professional specialty occupations
Technical, sales, and administrative supportTechnicians and related support
Health technologists and techniciansEngineering and science techniciansTechnicians, except health, engineering, and science
Sales occupationsSupervisors and proprietorsSales representatives, finance and business servicesSales representatives, commodities, except retailSales workers, retail and personal servicesSales-related occupations
Administrative support, including clericalSupervisorsComputer equipment operatorsSecretaries, stenographers, and typistsFinancial records processingMail and message distributingOther administrative support, including clerical
Service occupationsPrivate householdProtective serviceService, except private household and protective
Food serviceHealth serviceCleaning and building servicePersonal service
Precision production, craft, and repairMechanics and repairersConstruction tradesOther precision production, craft, and repair
Operators, fabricators, and laborersMachine operators, assemblers, and inspectorsTransportation and material moving occupations
Motor vehicle operatorsOther transportation and material moving occupations
Handlers, equipment cleaners, helpers, and laborersConstruction laborersOther handlers, equipment cleaners, helpers, and laborers
Farming, forestry, and fishingFarm operators and managersOther farming, forestry, and fishing occupations
120,446
32,80915,500
66810,7634,069
17,3091,7731,045
562851
2,745860
4,520816
4,137
36,7763,9131,5781,1441,191
14,1123,9372,3851,5316,183
7818,751
895516
4,0302,293
94010,076
16,409983
2,04913,3775,6632,2462,8842,583
13,7204,6215,1653,934
17,3727,5415,1433,9401,2034,688
7163,972
3,3601,1542,206
124,724
34,46216,621
69711,6624,262
17,8401,9131,195
511953
2,745925
4,382877
4,338
37,5083,9551,5831,1961,176
14,9494,4232,4361,4676,497
12718,605
814534
4,0742,2211,0389,924
16,848757
2,27913,8125,9802,1592,8772,795
13,6924,3565,2054,131
18,5038,0735,2313,9861,2465,199
8564,343
3,7111,4682,243
65,318
17,1029,102
3736,7641,9648,0001,602
702378659357473
1,129640
2,060
13,2441,926
286920720
7,2762,4541,4281,2172,134
434,043
35918590
223569
2,616
6,56941
1,7254,8032,364
2861,659
493
12,5524,4745,0593,020
12,9884,5984,6253,4701,1553,764
6783,085
2,8621,0151,847
67,424
17,9269,515
4027,1122,0018,4111,753
111328729404501
1,071665
2,184
13,3481,906
287903717
7,4852,6811,4641,1292,175
373,956
32719962
196641
2,531
6,81933
1,8994,8872,503
2421,606
536
12,4224,1565,0723,194
13,9374,9594,7433,5451,1984,235
8213,414
2,9721,0891,884
62,617
16,9989,056
3736,7271,9557,9421,597
703378659357466
1,120639
2,023
12,6561,907
286907714
6,9092,4391,4141,2141,801
403,841
36017688
216548
2,453
5,76633
1,7064,0261,755
2631,560
448
12,3384,3724,9812,985
12,1544,4534,5433,4011,1423,159628
2,531
2,7051,0041,701
64,294
17,8329,473402
7,0751,9978,3581,752776328729404499
1,062665
2,144
12,7191,881285890706
7,0562,6751,458-1,1251,762
363,78332618857191622
2,399
5,90627
1,8734,0071,774226
1,535471
12,1834,0904,9483,144
12,9374,7574,6353,4581,1773,545
7712,773
2,7171,0511,666
55,128
15,7076,398
2953,9992,1049,309
170343184192
2,388387
3,392176
2,077
23,5321,9871,292
225470
6,8361,482
957314
4,04934
14,708536332
3,9392,070
3717,460
9,839942324
8,5743,2981,9601,2252,091
1,168148106914
4,3852,943
518470
48924
38886
499140359
57,301
16,5357,106
2954,5502,2619,429
160419183225
2,341424
3,311212
2,154
24,1612,0481,296
293459
7,4631,742
972337
4,32290
14,649486334
4,0122,026
3977,393
10,029724381
8,9253,4771,9171,2722,259
1,270200133938
4,5663,114
488441
47965
35930
739379360
52,526
15,6056,372
2953,9752,1029,233
170343184192
2,389381
3,347176
2,052
22,2561,9591,285
208466
6,0101,468
948307
3,25335
14,287536320
3,8642,046
3577,164
8,845811310
7,7242,7011,8911,1621,970
1,144143105896
4,2002,883
505458
47813
34778
476140337
54,473
16,3977,058
2954,5102,2539,339
160419184223
2,341421
3,261212
2,119
22,6842,0301,289
287454
6,4701,723
944333
3,38884
14,184487327
3,9182,004
3907,059
9,091661367
8,0632,8421,8561,2252,139
1,250200127923
4,3533,012
482435
47859
32827
698372326
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
27
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.1993
Oct.1994
Men
Oct.1993
Oct.1994
Women
Oct.1993
Oct.1994
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 '.
120,446100.0
27.212.914.430.5
3.211.715.613.6
.81.7
11.111.414.46.34.33.92.8
103,673100.0
28.313.514.830.93.2
12.215.512.4
.81.6
10.011.813.75.94.23.63.0
12,384100.0
17.37.79.6
28.13.48.0
16.723.1
1.22.8
19.18.8
21.09.15.56.41.8
124,724100.0
27.613.314.330.13.2
12.014.913.5
.61.8.
11.111.014.86.54.24.23.0
106,435100.0
28.814.014.730.43.2
12.514.712.4
.61.7
10.111.513.85.94.03.93.2
13,146100.0
18.78.4
10.327.8
2.98.2
16.721.5
.83.0
17.67.7
22.910.26.16.61.4
65,318100.0
26.213.912.220.32.9
11.16.2
10.1.1
2.67.4
19.219.97.07.15.84.4
56,880100.0
27.214.612.720.42.9
11.75.98.9
.12.56.4
19.918.96.86.95.34.5
6,043100.0
14.27.96.4
17.82.96.58.4
18.9
4.514.315.030.810.110.110.63.3
67,424100.0
26.614.112.519.82.8
11.15.9
10.1O
2.87.2
18.420.77.47.06.34.4
58,156100.0
27.814.912.919.92.8
11.65.59.1
.12.66.4
19.319.36.96.65.84.6
6,442100.0
15.88.47.4
17.92.76.88.4
18.1
4.813.212.733.011.111.210.62.6
55,128100.0
28.511.616.942.7
3.612.426.717.81.7.6
15.62.18.05.3
.91.7
46,793100.0
29.512.217.343.63.6
12.827.216.61.6.5
14.51.97.34.8
.91.61.0
6,341100.0
20.27.5
12.837.83.89.5
24.627.22.41.1
23.72.8
11.78.11.22.4
.3
57,301100.0
28.912.416.542.2
3.613.025.617.5
1.3.7
15.62.28.05.4
.91.71.3
48,279100.0
30.013.017.043.0
3.613.525.916.41.2.6
14.72.07.14.7
.81.61.5
6,704100.0
21.68.5
13.137.3
3.19.6
24.624.7
1.61.3
21.82.9
13.39.41.22.7
.2
1 Less than 0.05 percent.NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
28
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 1994
Totalem-
ployed
Managerial andprofessional
specialty
Executive,adminis-trative,
andmana-gerial
Profes-sional
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
Agriculture 3,523Mining 678Construction 7,974Manufacturing 20,378
Durable goods 11,860Nondurable goods 8,517
Transportation and publicutilities 8,730
Wholesale and retail trade 25,896Wholesale trade 4,939Retail trade 20,957
Finance, insurance, andreal estate 8,111
Services 143,610Private households ! 942Other service industries 42,668
Professional services 29,624Public administration 5,825
107102
1,0772,6621,6311,031
1,1042,264556
1,709
2,1765,830
75,8233,6451,298
9482152
1,7491,162587
494521111410
26913,646
913,63712,170
833
452186659440219
32317649127
1582,283
12,2821,960204
12862767337429
26510,6801,8968,784
2,0461,087
1,08623223
17361448
1,9931,099895
2,3002,373786
1,587
2,8506,922
116,9125,1811,483
757757
18434303142161
2484,930
244,906
3358,579
718,5085,2151,640
35250
4,5383,8012,6071,194
1,2481,402290
1,112
1612,056
182,038456201
22195
6,4703,4073,063
137431219212
19875
87623822
68114533737414323
2,0311,050
473577
18633
463033948
2914
9221,137
527609
5631,968
4621,506
7519
1250710741
2,9392
259994
6
181017426
73422
523708232
1 Includes protective service, not shown separately.NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
29
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 1994
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
1,8131778691
26753038523714274
1,3721446678
21640127917110459
44033191352
130106663816
1,66869521749
230414347293267
1,20365491744
174293228199199
46644
456
1211199468
411174431787
2095441
114
212
112,1545,5792,3293,250
12,32030,04830,60821,111
9,7712,717
59,3112,8631,1951,6696,493
16,23816,11910,9995,1671,433
52,8432,7161,1341,5825,827
13,81114,48910,1124,6051,284
93,6745,3372,2593,078
11,29026,04024,80716,1697,8022,230
50,9322,7551,1631,5926,007
14,39313,6198,7314,2541,173
42,7422,5821,0961,4855,282
11,64711,1887,4383,5481,057
9301005644
13617618415212458
11730171326211014114
813703931
11015417413911354
92,7445,2372,2033,034
11,15425,86424,62316,0177,6782,171
50,8152,7251,1461,5795,981
14,37113,6098,7174,2421,169
41,9292,5121,0571,4555,173
11,49311,0147,3003,4351,003
18,480242
69173
1,0314,0085,8004,9421,969
487
8,3791083276
4861,8452,5002,268
913260
10,1011343896
5452,1643,3012,6741,057
227
8,9151146549
2451,7772,8232,1021,225
629
5,487442519
1511,0541,7421,282
813402
3,42770403094
7241,081
820412227
1337346
15422727
8
29
1
523583
1034211
13392219
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
30
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 nonagricuiture industries by hours of work
Hours of work
October 1994
Thousands of persons
Allindustries
Agriculture Nonagriculturalindustries
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
120,260
33,6041,1915,070
15,86511,479
86,6558,512
39,28638,85814,65614,09710,104
39.243.5
3,376
1,13785
282508262
2,239166603
1,471230393848
43.451.9
116,884
32,4671,1064,788
15,35711,217
84,4168,346
38,68337,38714,42713,7049,257
39.043.2
100.0
27.91.04.2
13.29.5
72.17.1
32.732.312.211.78.4
100.0
33.72.58.3
15.07.8
66.34.9
17.943.66.8
11.725.1
100.0
27.8.9
4.113.19.6
72.27.1
33.132.012.311.77.9
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the CurrentPopulation Survey Effective January 1994" in the February 1994 issue of
Employment and Earnings. Detail on persons at work in tables A-21 throughA-25 may not sum to the totals shown because of minor editing problemsassociated with the redesign 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
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
October 1994
All industries
Total
33,604
4,1322,2171,660
88167
29,472665
5,744684
6,8951,9772,9174,146
3336,111
22.822.3
Usuallywork
full time
11,984
1,195981
47167
10,78937
681
91
2,9174,146
3332,584
24.127.6
Usuallywork
part time
21,621
2,9371,2361,660
41
18,684628
5,063684
6,8041,977
3,528
22.419.3
Nonagricultural industries
Total
32,467
3,9192,0601,624
72163
28,549655
5,548650
6,6881,8222,8654,110
2765,934
22.922.4
Usuallywork
full time
11,687
1,126924
39163
10,56137
667
85
2,8654,110
2762,520
24.327.7
Usuallywork
part time
20,780
2,7931,1351,624
33
17,988618
4,881650
6,6031,822
3,414
22.319.4
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
31
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 1994
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 utilitiesWholesale and retail tradeFinance, insurance, and real estate ,
Service industriesPrivate households..All other industries ..
Public administration ..
Self-employed workers.Unpaid family workers ..
116,884
108,331
633
6,207
19,31311,2028,111
8,05123,292
7,231
38,015893
37,1215,589
8,420133
32,467
29,591
51
1,231
2,4401,2661,174
1,5438,2391,887
12,298516
11,7821,902
2,79779
3,919
3,469
2
347
335158176
1741,112
96
1,360127
1,23343
4491
10,561
9,998
37
582
1,429818611
8071,1121,046
3,41631
3,3851,570
54914
17,988
16,124
12
302
676289387
5616,015
746
7,522358
7,164290
1,79964
84,416
78,740
582
4,976
16,8739,9376,937
6,50715,0535,343
25,716377
25,3393,688
5,62354
39.0
39.0
46.8
41.0
42.843.542.0
41.936.839.2
37.328.637.538.6
39.834.9
43.2
43.0
47.5
42.7
43.844.243.3
43.943.841.6
42.543.342.539.8
47.346.3
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
32
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)
October 1994
Industry and class of worker 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)
116,8845,5302,3173,213
111,35412,27499,08085,57013,510
62,8072,8211,1781,643
59,9866,547
53,44046,0717,368
54,0772,7091,1391,570
51,3675,727
45,64039,498
6,142
99,44854,02645,421
12,5736,1176,456
38,8507,316
16,640
29,82910,89713,351
32,4674,2392,1682,071
28,2294,422
23,80718,8094,998
12,5652,0351,081
95410,5291,9338,5966,4302,166
19,9032,2041,0871,117
17,6992,488
15,21112,3792,832
27,97210,64917,323
3,2491,3351,914
5,9381,2665,360
10,8773,1985,827
3,919334
38297
3,584682
2,9022,545
357
1,85914825
1231,711
3441,3671,207
160
2,059186
13174
1,873338
1,5351,338
197
3,0811,4691,612
629286343
786271803
924486650
10,56117423
15010,388
8889,5008,1631,337
5,146751263
5,071400
4,6703,964
707
5,415981187
5,317488
4,8294,199
630
8,9304,3934,537
1,247531716
3,426598
1,122
3,0101,1391,266
17,9883,7312,1071,624
14,2572,851
11,4058,1013,304
5,5591,8121,044
7683,7471,1892,5581,2591,299
12,4281,9191,063
85610,5091,6628,8476,8422,005
15,9614,787
11,174
1,373518855
1,726398
3,436
6,9431,5733,912
84,4161,291
1491,142
83,1257,852
75,27366,761
8,512
50,24278596
68949,4574,613
44,84439,6425,202
34,17450652
45433,6683,239
30,42927,1193,310
71,47643,37828,098
9,3244,7824,542
32,9126,050
11,280
18,9527,6997,523
39.023.116.927.639.835.840.341.036.1
42.124.317.529.242.938.143.544.239.0
35.521.916.226.036.333.336.637.332.6
39.142.335.3
38.440.236.7
43.942.737.4
35.637.833:6
43.238.936.639.243.341.843.543.642.3
44.839.738.039.944.942.945.145.243.7
41.137.834.238.241.140.341.241.340.2
43.545.041.2
41.442.740.1
45.344.543.2
40.841.741.0
NOTE: Data for 1994 are not directly comparable with data for 1993 andearlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
33
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 1994
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 managerial ~.Professional 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
116,701
33,25716,01717,24136,1053,810
14,41117,88416,223
7272,187
13,30913,22217,8937,8115,0615,022
62,450
17,3629,2168,146
12,9571,8487,2823,8276,599
311,8234,745
12,01213,5214,8344,5884,099
54,251
15,8956,8019,094
23,1481,9617,129
14,0589,624
695364
8,5651,2104,3722,977
473923
32,406
7,6193,0474,572
11,8011,0704,5146,2176,936
420457
6,0602,1093,9401,2681,0411,632
12,425
2,8771,3381,5402,797
4081,3571,0322,145
15331
1,7991,8422,763
668794
1,302
19,981
4,7421,7103,0329,005
6623,1575,1854,791
405125
4,261267
1,177600247330
3,896
491148343
1,063102529432
1,0679958
910482793237213342
1,833
1879097
29241
15893
3177
40270444593124178291
2,063
30458
24677162
3713387519218
64038
2001143551
10,516
3,5901,7711,8193,545
477735
2,3331,040
22197821
1,1171,224
585310329
5,105
1,668873795
1,035259306471499
178321
1,001901338285278
5,412
1,922897
1,0252,509
218429
1,8625422218
501116322247
2451
17,994
3,5381,1282,4107,194
4923,2503,4524,828
298202
4,328510
1,924446518960
5,487
1,022374648
1,469109893468
1,3308
1131,209
3981,269
206330733
12,507
2,516754
1,7625,725
3832,3572,9843,498
29088
3,120112656240188228
84,295
25,63812,96912,66924,3042,7399,897
11,6679,287
3071,7307,250
11,11313,9536,5434,0203,390
50,026
14,4857,8786,606
10,1601,4405,9262,7944,453
171,4912,946
10,17010,7584,1663,7952,797
34,269
11,1535,0916,062
14,1431,2993,9718,8734,834
291239
4,304944
3,1952,376
225593
39.1
41.743.440.137.238.838.835.634.029.241.433.042.240.341.242.936.3
42.1
44.846.043.441.841.343.638.537.1
(2)42.835.042.541.142.344.036.6
35.5
38.339.937.134.636.433.834.831.929.134.632.038.937.739.432.534.9
43.3
44.645.343.942.141.845.339.842.144.244.441.443.443.442.646.241.5
44.8
46.647.345.845.142.947.541.642.9(2)44.742.043.644.043.346.441.6
41.1
42.242.441.940.140.642.139.341.344.342.141.141.241.341.342.740.8
1 Excludes farming, forestry, and fishing occupations.2 Data not shown where base is less than 75,000.NOTE: Data for 1994 are not directly comparable with data for 1993 and
earlier years. For additional information, see "Revisions in the CurrentPopulation Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
34
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.1993
Oct.1994
Unemploymentrates
Oct.1993
Oct.1994
Women
Thousands ofpersons
Oct.1993
Oct.1994
Unemploymentrates
Oct.1993
Oct.1994
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)
4,3401,647
6402,053
3,3581,362
4981,498
781190115476
3,0071,562
613832
2,3701,285
480605
490182105202
3,7451,259
5551,931
2,737984422
1,332
757166101490
2,4591,176
544738
1,840916411513
442158101184
6.23.87.9
11.0
5.63.67.39.8
11.46.0
10.918.3
5.13.87.88.4
4.63.57.37.6
8.75.9
10.213.2
5.32.96.69.8
4.52.66.18.4
10.55.19.3
17.1
4.12.86.77.2
3.62.56.16.3
7.65.09.5
11.4
3,7621,507
8241,430
2,8461,289
584973
763148207408
2,6291,349
746534
2,0111,142
531339
498139187172
3,4101,318
7211,371
2,4041,088
518798
813123175515
2,2951,158
666471
1,673959477237
478105161212
6.44.76.89.9
5.74.56.08.6
10.76.1
10.315.3
5.34.46.47.5
4.84.25.76.6
8.45.99.6
10.4
5.64.05.99.0
4.73.75.36.9
10.85.08.4
17.3
4.53.75.76.3
3.93.55.14.4
7.74.58.0
11.7
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
35
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.1993
Oct.1994
Unemployment rates
Total
Oct.1993
Oct.1994
Men
Oct.1993
Oct.1994
Women
Oct.1993
Oct.1994
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
8,101
924462462
2,039136888
1,015
1,35351
1181,185
979245516218
1,637696354587149438
256
866570156141
7,155
866455411
1,747122826799
1,40810287
1,219
691173391127
1,535651258626149477
303
565344113107
6.3
2.72.92.6
5.33.45.95.1
7.64.95.48.1
6.75.09.15.3
8.68.46.4
11.117.29.9
7.1
5.4
2.52.72.3
4.53.05.24.1
7.711.93.78.1
4.83.87.03.0
7.77.54.7
10.814.89.9
7.5
6.2
2.52.52.6
4.42.64.64.9
7.7(2)5.08.6
6.75.19.14.9
8.37.66.3
11.317.79.7
6.5
5.3
2.32.52.2
4.23.04.14.7
7.4(2)3.78.6
4.83.77.02.8
7.26.44.8
10.615.19.5
6.9
6.4
3.03.52.6
5.74.17.35.2
7.54.57.67.9
6.31.8
10.36.6
9.69.77.9(2)6.7
10.5
10.1
5.6
2.62.92.3
4.63.06.34.0
7.911.53.87.8
4.66.48.13.7
9.09.13.4(2)8.1
11.5
10.0
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.NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in the CurrentPopulation Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
36
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.1993
Oct.1994
Unemployment rates
Total
Oct.1993
Oct.1994
Men
Oct.1993
Oct.1994
Women
Oct.1993
Oct.1994
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 utilities ,Transportation ACommunications and other public utilities
Wholesale and retail trade .-.Wholesale 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
8,101
6,226
34693
1,33279656434145
10711111318456
1284452
53611649
1222588525034
359285
751,841
2351,607
2771,690
6901,000
202807866
I
7,155
5,554
22550
1,016571653321318170798629573571
44584377932
108484810
284174110
1,827246
1,581253
1,603609994
175861565
6.3
6.5
4.711.3
6.56.77.16.56.96.47.94.86.37.84.7
11.15.99.16.36.26.9
11.63.35.14.25.9
10.0
5.26.82.77.65.38.13.75.73.98.6
10.72.7
5.4
5.6
3.28.5
4.94.78.25.13.93.86.0294.23.72.35.45.09.95.14.65.36.84.36.03.85.62.5
4.04.04.17.15.17.63.45.23.38.1
8.82.9
6.2
6.5
3.811.6
5.66.17.05.65.76.37.54.56.06.94.09.72.9
10.14.74.76.75.32.55.42.75.19.3
5.26.92.16.74.47.43.66.23.19.0
10.32.6
5.3
5.5
3.88.8
4.44.58.95.73.53.55.03.14.53.62.05.53.39.24.33.84.88.03.55.23.15.51.2
4.04.23.56.44.17.23.05.23.07.1
8.02.9
6.4
6.6
9.98.6
8.48.27.38.8
11.27.09.25.56.9
11.06.7
17.29.98.58.68.97.0
14.15.84.87.37.7
11.7
5.16.53.78.67.48.73.85.44.28.1
12.32.7
5.6
5.8
5.4
5.85.24.34.05.45.59.42.53.74.13.35.17.7
10.96.26.35.96.36.97.25.05.85.4
4.13.25.27.87.37.93.75.13.49.1
11.12.8
1 Less than 0.05 percent.NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
37
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATANOT SEASONALLY ADJUSTED
Table A-29. Unemployed persons by reason for unemployment, sex, age, and race
(Numbers in thousands)
Reason
Total,16 yearsand over
Oct.1993
Oct.1994
Men,20 yearsand over
Oct.1993
Oct.1994
Women,20 yearsand over
Oct.1993
Oct.1994
Both sexes,16 to 19
years
Oct.1993
Oct.1994
White
Oct.1993
Oct.1994
Black
Oct.1993
Oct.1994
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
8,1014,225935
3,290001,0162,079782
100.052.111.540.612.525.79.6
3.3.81.6.6
7,1553,168637
2,5311,820712811
2,611565
100.044.38.9
35.411.336.57.9
2.4.62.0.4
3,6882,569581
1,988
O040062990
100.069.615.853.910.917.12.4
3.9.6.9.1
3,0981,851343
1,5081,06544439077681
100.059.811.148.712.625.12.6
2.7.61.2.1
3,1901,477316
1,16100457
1,096161
100.046.39.9
36.414.334.35.0
2.7.82.0.3
2,8291,125234891689202337
1,226140
100.039.88.3
31.511.943.44.9
2.0.62.1.2
1,22317938141
O0159354531
100.014.63.111.513.029.043.4
2.72.45.48.1
1,22819160132666684
608344
100.015.64.810.76.8
49.528.0
2.71.28.54.8
6,2043,265764
2,500
00811
1,560569
100.052.612.340.313.125.19.2
3.0.71.4.5
5,1412,410497
1,9131,399514649
1,721361
100.046.99.7
37.212.633.57.0
2.2.61.5.3
1,54477213463700165440167
100.050.08.7
41.310.728.510.8
5.51.23.21.2
1,570549110440302138120743158
100.035.07.0
28.07.6
47.310.1
3.7.85.01.1
1 Not available.NOTE: Data for 1994 are not directly comparable with data for 1993 and
earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
38
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
October 1994
Total unemployed
Thousandsof persons
Percent
Duration of unemployment
Less than5 weeks
5 to 14weeks
15 weeks and over
Total 15 to 26 27 weeksand over
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
7,155
3,168637
2,5311,820
712811
2,611565
3,098
1,851343
1,5081,065
444390776
81
2,829
1,125234891689202337
1,226140
1,228
19160
132666684
608344
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
31.8
32.059.325.222.133.038.631.720.7
28.5
29.553.524.120.831.935.624.115.1
32.1
31.463.822.920.431.442.531.319.4
39.2
59.80
52.9
0O
36.942.422.6
30.5
30.427.531.130.333.333.429.829.4
29.2
31.329.831.731.631.828.826.012.8
29.0
28.426.528.928.530.033.629.023.0
37.0
33.60
40.500
53.636.435.9
37.8
37.613.343.747.633.728.038.449.9
42.3
39.216.844.247.636.235.650.072.1
38.9
40.29.7
48.251.038.523.839.757.6
23.8
6.7
06.6
009.5
21.241.6
17.1
18.47.0
21.322.019.513.316.020.5
17.3
17.59.7
19.319.319.215.017.818.8
18.4
22.65.0
27.227.426.613.516.017.3
13.8
3.2
04.7
005.0
13.722.1
20.6
19.16.2
22.425.614.214.722.429.4
25.0
21.77.1
25.028.317.020.632.253.3
20.5
17.64.8
21.023.711.910.423.740.3
10.0
3.502.001
7.519.4
1 Data not shown where base is less than 75,000.NOTE: Data for 1994 are not directly comparable with data for 1993
and earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
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
Average (mean) duration, in weeksMedian duration, in weeks
Total
Thousands of persons
Oct.1993
8,101
3,0162,3681,770
5982,7171,1061,611
654958
18.17.7
Oct.1994
7,155
2,2742,1791,537
6422,7031,2251,477
574903
19.39.6
Percent distribution
Oct.1993
100.0
37.229.221.9
7.433.513.719.98.1
11.8
Oct.1994
100.0
31.830.521.5
9.037.817.120.6
8.012.6
Full-time workers
Thousands of persons
Oct.1993
6,345
2,0511,8391,339
4992,455
9911,464
580884
20.49.4
Oct.1994
5,671
1,5871,6921,154
5392,3911,0731,319
500818
21.311.2
Percent distribution
Oct.1993
100.0
32.329.021.1
7.938.715.623.1
9.113.9
Oct.1994
100.0
28.029.820.3
9.542.218.923.3
8.814.4
NOTE: Data for 1994 are not directly comparable with data for 1993and earlier years. For additional information, see "Revisions in the
Current Population Survey Effective January 1994" in the February 1994issue of Employment and Earnings.
39
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 1994
Thousands of persons
TotalLessthan
5 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)
7,1551,2281,1731,8631,425
883421163
3,745647639944720449248
99
3,41058153491970543417364
5,1412,7372,404
1,570757813
1,259555
1,931
1,318721
1,371
2,27448139858942121411060
1,1482631803201851005940
1,1262182182692361145120
1,746899847
419186233
372153623
474'198454
2,179454376581392243
9934
1,1352312322611971286720
1,0442241443201951153214
1,552806746
497263235
332164638
369239437
2,70329339969261142621269
1,46215322736333822112239
1,240140172329273206
9030
1,8431,032
811
654308345
555237670
475285480
1,22517019831526315810022
62993
115159126675712
5977783
156137914310
824430394
306143163
20598
326
260121216
1,47712320137734826911246
83460
1122042121546527
6436389
1731361154720
1,019602418
348165182
350139344
215163265
19.312.017.118.322.325.526.922.2
20.611.118.019.125.528.627.722.7
17.912.915.917.519.022.325.7O
18.720.217.0
20.521.219.9
23.424.317.7
16.720.317.7
9.66.58.69.6
11.413.714.78.6
10.16.49.3
10.013.414.214.09.4
9.06.67.69.29.2
13.315.5O
8.89.38.3
11.712.111.0
12.011.69.0
8.410.18.9
1 Data not shown where base is less than 75,000.NOTE: Data for 1994 are not directly comparable with data for 1993 and
earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
40
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 1994
Thousands of persons
TotalLessthan
5 weeks
5 to \4weeks
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
8661,7471,408691
1,535303
175563
1,029582447332
1,844263
1,851196
565
228576491240513100
4720029213515788
66681
61253
117
26951845220845792
5718031417513995
56874
55177
166
368652465243564111
7118242427215114961010868966
282
18131519710124760
347419913069472784734427
116
18833726714231751
371082241428210233261
34540
166
19.818.118.020.319.317.4
18.917.620.623.317.024.017.821.518.019.5
25.0
11.39.18.08.89.58.7
10.58.011.113.29.311.88.310.38.89.8
14.5
1 Includes wage and salary workers only.NOTE: Data for 1994 are not directly comparable with data for 1993 and
earlier years. For additional information, see "Revisions in the Current
Population Survey Effective January 1994" in the February 1994 issue ofEmployment and Earnings.
A-34. Persons not in the labor force by desire and availability for work, age, and sex
(In thousands)
Category
October 1994
Total
Age
16 to 24years
25 to 54years
55 yearsand over
Sex
Men Women
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
65,55060,0405,5103,1812,329666
1,663
4601,202167258159619
11,3269,2922,0351,193842263579
1424371719134194
18,16915,5862,5831,3571,226363863
2446181376784330
36,05635,163
89263126140221
7414713
4095
23,50321,2992,2041,229976223753
2914612411678244
42,04738,7423,3061,9521,353443910
16974114314281375
1 Includes some persons who are not asked if they want a job.2 Persons who had a job in the prior 12 months must have searched since
the end of that job.3 Includes believes no work available, could not find work, lacks necessary
schooling or training, employer thinks too young or old, and other types of
discrimination.4 Includes those who did not actively look for work in the prior 4 weeks for
such reasons as child care and and transportation problems, as well as asmall number for which reason for non participation was not ascertained.
41
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
October 1994
Both sexes
Number Rate1
Men
Number Rate1
Women
Number Rate1
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 timePrimary and secondary jobs both part timePrimary and secondary jobs both full timeHours vary on primary or secondary job
7,648239
7,409955
6,4545,790
66456599
6,710678408
4,3171,2762,056
4,3881,776
2091,236
6.14.06.27.46.16.44.44.92.7
6.35.23.7
5.96.66.5
4,160101
4,060506
3,5543,136
41834374
3,650383221
2,620462
1,079
2,665609152720
6.23.26.37.36.26.45.05.53.5
6.35.93.3
6.35.96.1
3,488139
3,350449
2,9002,654
24622224
3,060296187
1,697814978
1,7221,167
57516
6.14.96.17.56.06.43.64.31.5
6.34.44.3
5.37.17.0
1 Multiple jobholders as a percent of all employed persons in specifiedgroup.
2 Includes a small number of persons who work part time on theirprimary job and full time on their secondary jobs(s), not shown separately.
NOTE: Detail for the above race and Hispanic-origin groups will notsum to totals because data for the "other races" group are not presentedand Hispanics are included in both the white and black population groups.
A-36. Employment status of male Vietnam-era veterans and nonveterans by age
(Numbers in thousands)
Veteran statusand age
Civiliannoninstitutional
population
Oct.1993
Oct.1994
Civilian labor force
Total
Oct.1993
Oct.1994
Employed
Oct.1993
Oct.1994
Unemployed
Number
Oct.1993
Oct.1994
Percent oflabor force
Oct.1993
Oct.1994
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
7,2486,3872,1622,9851,240
861
15,6926,9494,6854,056
7,4396,4971,6773,2571,563
942
16,5467,7434,8243,979
6,4355,9312,0032,7871,140
505
14,3126,4744,2673,571
6,5015,9351,5462,9941,396
565
15,0067,2264,3813,399
6,1305,6501,8662,6911,093
480
13,6736,2074,0813,385
6,3105,7651,4962,9101,360
545
14,4776,9894,2273,262
305281137974725
639267186186
19017050833720
528237154138
4.74.76.83.54.15.0
4.54.14.45.2
2.92.93.22.82.63.6
3.53.33.54.0
NOTE: Male Vietnam-era veterans are men who served in theArmed Forces between August 5, 1964 and May 7, 1975. Nonveteransare men who have never served in the Armed Forces. Data for 1994are not directly comparable with data for 1993 and earlier years. For
additional information, see "Revisions in the Current Population SurveyEffective January 1994" in the February 1994 issue of Employmentand Earnings.
42
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, 1943 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
1943194419451946194719481949
19501951195219531954195519561957195819592
1960196119621963196419651966196719681969
1970197119721973197419751976197719781979
1980198119821983198419851986198719881989
1990199119921993
1993:OctoberNovemberDecember
1994:JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptember*OctoberP
42,43441,86440,37441,65243,85744,86643,754
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
90,40691,15289,54490,15294,40897,38799,344
101,958105,210107,895
109,419108,256108,604110,525
36,35635,82234,43136,05638,38239,21637,897
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
91,11589,85489,95991,708
20,11419,32817,50717,24818,50918,77417,565
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
24,90523,74523,23123,256
925892836862955994930
901929898866791792822828751732
712672650635634632627613606619
623609628642697752779813851958
1,0271,1391,128
952966927111717713692
709689635611
1,5871,1081,1471,6832,0092,1982,194
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
4,3464,1883,9043,9464,3804,6684,8104,9585,0985,171
5,1204,6504,4924,642
17,60217,32815,52414,70315,54515,58214,441
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
19,07618,40618,10418,003
22,32022,53622,86924,40425,34826,09226,189
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
64,74865,65565,73266,82169,69072,54474,81177,28480,08682,642
84,51484,51185,37387,269
3,6473,8293,9064,0614,1664,1894,001
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
5,7935,7625,7215,787
1,8281,8511,9552,2982,4782,6122,610
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
6,1736,0815,9975,958
5,1545,2085,3596,0776,4776,6596,654
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
19,60119,28419,35619,717
1,4811,4611,4811,6751,7281,8001,828
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
6,7096,6466,6026,712
4,1304,1454,2224,6975,0255,1815,239
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
27,93428,33629,05230,278
2,9052,9282,8082,2541,8921,8631,908
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
3,0852,9662,9692,915
(1)(1)(1)(1)(1)
0O
(1)O(1)(1)(1)
1,1681,2501,3281,4151,484
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
4,3054,3554,4084,484
Monthly data, seasonally adjusted
111,112111,366111,610
111,711111,919112,298112,699112,951113,334113,624113,914114,162114,356
92,23992,47992,692
92,81093,00393,35793,71893,93794,31694,60194,82795,01695,214
23,24523,28123,298
23,32823,32723,39523,50623,51923,57623,59023,64023,66523,706
605604618
616612609606603605601603602598
4,7004,7334,738
4,7444,7454,8064,8934,9074,9274,9444,9424,9704,975
17,94017,94417,942
17,96817,97017,98018,00718,00918,04418,04518,09518,09318,133
O0)O
()0
3,5583,8194,0714,2304,366
4,5474,7084,8815,1215,3925,7006,0806,3716,6606,904
7,1587,4377,7908,1468,4078,7588,8659,0239,4469,633
9,7659,6199,4589,4349,4829,6879,901
10,10010,33910,609
10,91411,08111,26711,417
87,86788,08588,312
88,38388,59288,90389,19389,43289,75890,03490,27490,49790,650
5,7985,8005,792
5,7935,8035,8165,7595,8435,8495,8575,8665,8685,869
5,9655,9715,976
5,9906,0036,0136,0286,0376,0496,0536,0796,0946,105
19,82219,84819,931
19,92419,96520,02620,13720,15320,27920,38620,40520,47120,522
6,7486,7636,769
6,7716,7766,7816,7916,7876,7986,7976,8016,7896,787
30,66130,81630,926
31,00431,12931,32631,49731,59831,76531,91832,03632,12932,225
2,9012,9002,915
2,8932,8922,8842,8822,8702,8592,8592,8582,8592,859
4,5044,5054,511
4,4924,5114,5204,5344,5334,5394,5684,5854,6054,601
11,46811,48211,492
11,51611,51311,53711,56511,61111,62011,59611,64411,68211,682
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 1993benchmark levels. When more recent benchmark data are introduced, all unadjusteddata (beginning April 1993) and all seasonally adjusted data (beginning January1990) are subject to revision.
43
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
Total private1
Weeklyhours
Hourlyearnings
Weeklyearnings
Mining
Weeklyhours
Hourlyearnings
Weeklyearnings
Construction
Weeklyhours
Hourlyearnings
Weeklyearnings
Annual averages
196419651966196719681969
1970197119721973197419751976197719781979
1980198119821983198419851986198719881989
1990199119921993
1993:OctoberNovember..December..
1994:JanuaryFebruary ....MarchAprilMayJuneJulyAugustSeptemberOctober" ....
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
34.534.334.434.5
$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
10.0110.3210.5710.83
$91.3395.4598.82101.84107.73114.61
119.83127.31136.90145.39154.76163.53175.45189.00203.70219.91
235.10255.20267.26280.70292.86299.09304.85312.50322.02334.24
345.35353.98363.61373.64
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
44.144.443.944.3
$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
13.6814.1914.5414.60
$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
603.29630.04638.31646.78
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
38.238.138.038.4
Monthly data, not seasonally adjusted
34.634.534.7
34.334.034.434.534.834.834.934.934.835.0
$10.9410.9610.97
11.0611.0611.0411.0711.0911.0311.0411.0411.2111.26
$378.52378.12380.66
379.36376.04379.78381.92385.93383.84385.30385.30390.11394.10
45.544.744.6
44.143.744.044.544.444.844.945.145.545.7
$14.4714.4314.67
15.0614.9214.8414.9614.8314.7314.7314.6914.9114.89
$658.39645.02654.28
664.15652.00652.96665.72658.45659.90661.38662.52678.41680.47
39.338.638.3
37.036.138.138.339.739.639.739.739.939.4
$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
13.7714.0014.1514.37
$14.5514.4714.46
14.4114.4514.4414.4914.5914.5714.7214.7614.9415.00
$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
526.01533.40537.70551.81
$571.82558.54553.82
533.17521.65550.16554.97579.22576.97584.38585.97596.11591.00
See footnotes at end of table.
44
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
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.
1993:OctoberNovember...December...
1994:JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctober"
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
40.840.741.041.4
$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
10.8311.1811.4611.74
$2.432.502.592.712.883.05
3.233.453.663.914.254.675.025.445.916.43
7.027.728.258.528.829.169.349.489.7310.02
10.3710.7110.9511.18
$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
441.86455.03469.86486.04
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
38.938.738.939.6
$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
12.9713.2213.4513.63
$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
504.53511.61523.21539.75
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
38.138.138.238.2
$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
10.7911.1511.3911.73
Monthly data, not seasonally adjusted
41.842.042.4
41.540.941.942.042.042.241.642.042.442.3
$11.8011.8712.00
11.9612.0011.9912.0112.0112.0312.0412.0112.1412.11
$11.1911.2611.36
11.3811.4211.3811.3911.3911.3911.4211.3511.4511.44
$493.24498.54508.80
496.34490.80502.38504.42504.42507.67500.86504.42514.74512.25
39.939.739.8
39.639.439.539.940.040.140.340.240.140.3
$13.6613.6913.74
13.8313.8513.8013.7813.7613.7213.8413.8613.9314.00
$545.03543.49546.85
547.67545.69545.10549.82550.40550.17557.75557.17558.59564.20
38.338.238.3
38.237.938.138.338.638.538.438.338.438.8
$11.8111.8011.85
11.9511.9311.8711.9911.9811.9412.0011.9612.0512.16
$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
411.10424.82435.10448.09
$452.32450.76453.86
456.49452.15452.25459.22462.43459.69460.80458.07462.72471.81
See footnotes at end of table.
45
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
1990199119921993
1993:OctoberNovember..December..
1994: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
28.828.628.828.8
$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
6.756.947.127.29
$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
194.40198.48205.06209.95
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
35.835.735.835.8
$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
9.9710.3910.8211.35
$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
356.93370.92387.36406.33
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
32.532.432.532.5
$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
9.8310.2310.5410.79
Monthly data, not seasonally adjusted
28.828.629.3
28.228.128.528.728.929.329.729.729.029.1
$7.367.367.36
7.457.457.457.477.477.457.447.437.537.57
$211.97210.50215.65
210.09209.35212.33214.39215.88218.29220.97220.67218.37220.29
35.735.735.7
36.435.835.635.736.135.535.735.535.436.3
$11.5211.5711.65
11.7911.7711.7511.8111.8411.6711.7211.7311.8612.04
$411.26413.05415.91
429.16421.37418.30421.62427.42414.29418.40416.42419.84437.05
32.432.432.4
32.532.232.332.432.732.532.832.732.432.8
$10.8710.9310.98
11.0611.0511.0211.0111.0310.9210.9210.9211.1211.21
$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
319.48331.45342.55350.68
$352.19354.13355.75
359.45355.81355.95356.72360.68354.90358.18357.08360.29367.69
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 1993 benchmark levels. When morerecent benchmark data are introduced, all unadjusted datafrom April 1993 forward are subject to revision.
46
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)
Industry1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.
Total
Total private
Goods-producing
Mining1
Metal 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 ...Electronic and other electrical
equipmentTransportation 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 ....
See footnotes at end of table.
111,112
92,239
23,245
60550
356101
4,7001,120
7092,871
17,940
10,135709485517675
2371,3321,914
1,5181,731840522880374
7,8051,678
42672970686
1,5141,073150903117
87,867
5,7983,606246
3731,71216673418
3572,1921,252940
111,366
92,479
23,281
60450355101
4,7331,133712
2,888
17,944
10,142712487517678
2381,3351,916
1,5211,725843515877374
7,8021,675
42671966685
1,5151,071151909117
88,085
5,8003,613247
3741,71516673518
3582,1871,250937
111,610
92,692
23,298
61851351101
4,7381,138710
2,890
17,942
10,153716489518678
2371,3381,918
1,5241,724853507873375
7,7891,671
42671959685
1,5141,070149911117
88,312
5,7923,611248
3761,70416574118
3592,1811,246935
111,711
92,810
23,328
61650349102
4,7441,139713
2,892
17,968
10,182723492521679
2381,3451,922
1,5241,730874502871375
7,7861,667
41672956686
1,5171,065148917117
88,383
5,7933,611247
3771,70516573918
3602,1821,249933
111,919
93,003
23,327
61250346101
4,7451,134709
2,902
17,970
10,182723492521680
2361,3451,925
1,5281,726868496868374
7,7881,672
40673954685
1,5181,062148920116
88,592
5,8033,622248
3801,71116673918
3602,1811,249932
112,298
93,357
23,395
60950344100
4,8061,152710
2,944
17,980
10,190723493523680
2351,3481,927
1,5351,723867491864374
7,7901,670
41674956684
1,5211,059147922116
88,903
5,8163,638248
3821,72116873918
3622,1781,248930
112,699
93,718
23,506
60650342100
4,8931,163725
3,005
18,007
10,216726493529678
2311,3531,938
1,5421,719870486861377
7,7911,667
41673955684
1,5231,057148927116
89,193
5,7593,582246
3861,66516673818
3632,1771,250927
112,951
93,937
23,519
60350338101
4,9071,161723
3,023
18,009
10,217726495528679
2301,3571,940
1,5401,718868484858376
7,7921,665
40671958684
1,5241,056148931115
89,432
5,8433,664243
3831,75316973318
3652,1791,254925
113,334
94,316
23,576
60550339101
4,9271,165725
3,037
18,044
10,253730496529684
2341,3651,947
1,5501,724876480853375
7,7911,666
39671957683
1,5281,054147932114
89,758
5,8493,677246
3891,76416672918
3652,1721,253919
113,624
94,601
23,590
60151335101
4,9441,161733
3,050
18,045
10,249732500530686
2341,3681,942
1,5511,712875475849379
7,7961,668
38672954684
1,5311,053147935114
90,034
5,8573,687245
3911,76816972817
3692,1701,254916
113,914
94,827
23,640
60352336101
4,9421,166725
3,051
18,095
10,290734496531686
2321,3731,952
1,5611,727893472850380
7,8051,666
40672958683
1,5351,050149938114
90,274
5,8663,691241
3971,77216572918
3692,1751,261914
114,162
95,016
23,665
60251
338101
4,9701,173727
3,070
18,093
10,306735496530689
2331,3751,955
1,5671,732898468848379
7,7871,660
38669956680
1,5331,048149941113
90,497
5,8683,695245
3911,77516873017
3692,1731,259914
114,356
95,214
23,706
59851
334101
4,9751,183716
3,076
18,133
10,336737497533694
2341,3841,957
1,5671,741908467846380
7,7971,657
39671952683
1,5361,050149947113
90,650
5,8693,697246
3911,77316872918
3722,1721,259913
47
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)
Industry1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.p
Wholesale tradeDurable goodsNondurable goods
Retail tradeBuilding materials and garden suppliesGeneral merchandise storesFood storesAutomotive dealers and service
stationsApparel and accessory storesFurniture and home furnishings stores ..Eating and drinking placesMiscellaneous retail establishments
Finance, insurance, and real estateFinance
Depository institutionsNondepository institutionsSecurity and commodity brokersHolding and other investment offices .
InsuranceInsurance carriersInsurance agents, brokers, and
serviceReal estate
Services1
Agricultural servicesHotels and other lodging placesPersonal servicesBusiness services
Personnel supply servicesAuto repair, services, and parkingMiscellaneous repair servicesMotion picturesAmusement and recreation servicesHealth services
HospitalsLegal servicesEducational servicesSocial servicesMuseums and botanical and zoological
gardensMembership organizationsEngineering and management services
GovernmentFederalState
EducationOther State government
LocalEducationOther local government
5,9653,4102,555
19,822794
2,4543,220
2,0481,148
8446,8502,464
6,7483,2402,072
463479226
2,1871,525
6621,321
30,661526
1,6021,1345,9502,033
965366423
1,2498,8523,790
9341,6962,121
772,0362,556
18,8732,9014,5041,8402,664
11,4686,3785,090
5,9713,4132,558
19,848798
2,4513,210
2,0601,144
8496,8692,467
6,7633,2452,068
467483227
2,1921,530
6621,326
30,816533
1,5991,1376,0162,066
975368425
1,2508,8733,789
9351,7072,139
772,0402,567
18,8872,9004,5051,8412,664
11,4826,3825,100
5,9763,4192,557
19,931803
2,4463,214
2,0741,154
8526,9172,471
6,7693,2502,064
472486228
2,1901,527
6631,329
30,926538
1,5991,1406,0622,103
986370432
1,2548,8903,787
9341,7082,154
772,0402,567
18,9182,9154,5111,8412,670
11,4926,3905,102
5,9903,4242,566
19,924808
2,4213,215
2,0841,146
8556,9282,467
6,7713,2522,057
All489229
2,1871,525
6621,332
31,004539
1,6021,1496,0922,130
992373435
1,2518,9093,788
9371,7102,162
772,0422,560
18,9012,8934,4921,8242,668
11,5166,4045,112
6,0033,4302,573
19,965812
2,4333,223
2,1011,148
8626,9152,471
6,7763,2542,050
483492229
2,1861,525
6611,336
31,129530
1,5991,1436,1612,1731,002
375443
1,2528,9223,787
9391,7202,175
782,0412,575
18,9162,8924,5111,8382,673
11,5136,3925,121
6,0133,4342,579
20,026818
2,4323,232
2,1171,154
8666,9282,479
6,7813,2562,044
486496230
2,1851,524
6611,340
31,326528
1,6081,1386,2442,2301,017
375450
1,2718,9593,791
9401,7302,190
782,0442,580
18,9412,8844,5201,8462,674
11,5376,4105,127
6,0283,4452,583
20,137829
2,4423,229
2,1321,146
8766,9952,488
6,7913,2592,042
487499231
2,1891,527
6621,343
31,497537
1,6081,1376,3182,2821,026
377465
1,2758,9853,794
9411,7332,205
792,0472,590
18,9812,8824,5341,8502,684
11,5656,4365,129
6,0373,4492,588
20,153833
2,4383,240
2,1391,144
8796,9932,487
6,7873,2572,039
486501231
2,1851,522
6631,345
31,598548
1,6091,1296,3412,2861,029
379472
1,2828,9983,794
9421,7442,224
792,0512,597
19,0142,8704,5331,8492,684
11,6116,4455,166
6,0493,4572,592
20,279838
2,4433,234
2,1431,145
8857,0842,507
6,7983,2632,041
484505233
2,1841,521
6631,351
31,765551
1,6261,1336,4162,3341,041
380474
1,2879,0253,787
9381,7412,242
792,0552,603
19,0182,8594,5391,8502,689
11,6206,4615,159
6,0533,4612,592
20,386842
2,4573,247
2,1451,149
8977,1292,520
6,7973,2612,042
480506233
2,1821,517
6651,354
31,918554
1,6271,1346,4882,3751,045
381482
1,2789,0433,787
9411,7472,267
802,0562,620
19,0232,8594,5681,8762,692
11,5966,4785,118
6,0793,4712,608
20,405844
2,4763,254
2,1591,148
9057,1052,514
6,8013,2592,040
476508235
2,1801,515
6651,362
32,036559
1,6191,1396,5382,3881,058
382493
1,2669,0763,790
9421,7472,285
802,0562,621
19,0872,8584,5851,8862,699
11,6446,5365,108
6,0943,4732,621
20,471847
2,4813,249
2,1711,155
9137,1152,540
6,7893,2482,036
471507234
2,1781,512
6661,363
32,129561
1,6091,1376,5862,4141,065
382503
1,2539,0833,791
9461,7592,294
802,0642,633
19,1462,8594,6051,9012,704
11,6826,5315,151
6,1053,4822,623
20,522851
2,4913,253
2,1841,157
9257,1272,534
6,7873,2462,040
464508234
2,1761,509
6671,365
32,225565
1,5941,1366,6182,4291,076
384514
1,2629,1103,793
9471,7602,300
792,0672,638
19,1422,8594,6011,8922,709
11,6826,5265,156
1 Includes other industries, not shown separately.p == preliminary.NOTE: Establishment survey estimates are currently projected from
March 1993 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1990 forward aresubject to revision.
48
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ESTABLISHMENT DATAWOMEN EMPLOYEES
SEASONALLY ADJUSTED
B-4. Women employees on nonfarm payrolls by major industry and manufacturing group, seasonally adjusted
(In thousands)
Industry1993
Aug. Sept. Oct. Nov. Dec
1994
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
53,572
43,363
6,496
88
520
5,888
2,6821141471103
91292413639351362170
3,20654213
3207571686733372430765
47,076
1,697
1,812
10,453
4,259
18,646
10,2091,2072,2486,754
53,665
43,442
6,485
88
521
5,876
2,68011414710391
292414640349360170
3,19653614
3207541676723372430765
47,180
1,696
1,818
10,473
4,264
18,706
10,2231,2062,2576,760
53,747
43,525
6,485
88
523
5,874
2,68111514710392293413641348359170
3,19354214
3207471666723372430665
47,262
1,701
1,822
10,476
4,268
18,773
10,2221,2052,2556,762
53,843
43,616
6,482
88
524
5,870
2,68111614810292
294413642347358169
3,18954214
3187431676723362430865
47,361
1,705
1,824
10,484
4,278
18,843
10,2271,2042,2556,768
53,969
43,713
6,480
89
525
5,866
2,68311714910292294413643348356169
3,18354014
3187371676733372430865
47,489
1,701
1,825
10,512
4,285
18,910
10,2561,2102,2596,787
53,981
43,730
6,475
87
526
5,862
2,68511714910393
296413642348355169
3,17753813
3197331676733352431065
47,506
1,697
1,831
10,513
4,281
18,933
10,2511,2032,2466,802
54,097
43,828
6,482
86
528
5,868
2,68811815010393296414644349354167
3,18054113
3197321666743342431265
47,615
1,698
1,834
10,533
4,284
18,997
10,2691,2052,2596,805
54,246
43,959
6,490
87
532
5,871
2,69111715010394
297416645349353167
3,18054313
3197321656763322431264
47,756
1,700
1,839
10,554
4,288
19,088
10,2871,2032,2676,817
54,477
44,160
6,506
86
539
5,881
2,70011915010493
298418649348352169
3,18154113
3187321656773322431564
47,971
1,699
1,846
10,601
4,293
19,215
10,3171,2032,2736,841
54,653
44,280
6,515
86
539
5,890
2,70511915110395
299420649348352169
3,18554113
3177331646783342531664
48,138
1,709
1,850
10,635
4,291
19,280
10,3731,1982,2776,898
54,808
44,464
6,530
86
543
5,901
2,71312015210295301424652349350168
3,18854212
3177321656823332431764
48,278
1,708
1,852
10,691
4,299
19,384
10,3441,1922,2586,894
54,887
44,573
6,527
85
544
5,898
2,70812115410395301421650343349171
3,19054412
3177291656833332531864
48,360
1,713
1,853
10,755
4,295
19,430
10,3141,1902,2826,842
55,066
44,689
6,558
86
547
5,925
2,72812215310396
303426656351347171
3,19754413
3187321646863322532063
48,508
1,720
1,862
10,766
4,291
19,492
10,3771,1932,2896,895
NOTE: Establishment survey estimates are currently projected from March1993 benchmark levels. When more recent benchmark data are introduced,
all seasonally adjusted data from January 1990 forward are subject to revision.
49
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)
Industry1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p 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 equipment ...Transportation 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
75,119
16,311
429
3,621
12,261
6,806584384399516181984
1,165972
1,104642430268
5,4551,227
315718135178355749769793
58,808
4,857
4,813
17,450
4,910
26,778
75,323
16,356
426
3,645
12,285
6,822588386399518181989
1,169974
1,104645428267
5,4631,227
325718105178355779870393
58,967
4,856
4,817
17,460
4,927
26,907
75,496
16,385
438
3,655
12,292
6,843591388400518181993
1,174979
1,106653426268
5,4491,224
315708035178335779670593
59,111
4,841
4,824
17,512
4,932
27,002
75,588
16,408
433
3,655
12,320
6,869597389402519181998
1,179976
1,117670425267
5,4511,221
315728005188355759671093
59,180
4,845
4,832
17,527
4,932
27,044
75,783
16,430
432
3,657
12,341
6,881597389402521180
1,0001,185980
1,116669425266
5,4601,226
305737995188365759571593
59,353
4,855
4,842
17,565
4,936
27,155
76,129
16,507
430
3,719
12,358
6,892597391404521179
1,0041,187982
1,115667424267
5,4661,229
315748015178375739571792
59,622
4,870
4,853
17,632
4,943
27,324
76,487
16,615
428
3,796
12,391
6,924600390409520175
1,0091,197991
1,117672423268
5,4671,224
315728015188385749672093
59,872
4,816
4,864
17,714
4,949
27,529
76,690
16,615
427
3,796
12,392
6,930601392408521175
1,0121,200990
1,118669421267
5,4621,222
315718015188355739672491
60,075
4,897
4,867
17,737
4,945
27,629
77,028
16,674
431
3,814
12,429
6,966603393409526177
1,0201,207998
1,124677418268
5,4631,219
305718005188395749672591
60,354
4,899
4,883
17,836
4,955
27,781
77,233
16,689
430
3,828
12,431
6,969604395410528178
1,0211,209997
1,117675417271
5,4621,221
295697975188415739672890
60,544
4,899
4,882
17,933
4,952
27,878
77,439
16,729
433
3,818
12,478
7,007606394410529177
1,0261,2161,0071,132693415272
5,4711,221
315708005188435709773091
60,710
4,902
4,911
17,947
4,953
27,997
77,609
16,755
432
3,840
12,483
7,022606394409532178
1,0271,2211,0121,136697415270
5,4611,216
305678005158425729673390
60,854
4,909
4,920
17,994
4,944
28,087
77,744
16,795
431
3,842
12,522
7,054608393411537178
1,0361,2261,0121,147704414270
5,4681,211
305697995188425769673889
60,949
4,907
4,922
18,032
4,928
28,160
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.
p = preliminary.NOTE: Establishment survey estimates are currently projected from March
1993 benchmark levels. When more recent benchmark data are introduced,all seasonally adjusted data from January 1990 forward are subject to revision.
50
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 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
Private nonfarm payrolls, 356 industries1
Over 1-month span:19901991199219931994
Over 3-month span:19901991199219931994
Over 6-month span:19901991199219931994
Over 12-month span:19901991199219931994
Over 1-month span:19901991199219931994
Over 3-month span:19901991199219931994
Over 6-month span:19901991199219931994
Over 12-month span:19901991199219931994
58.839.642.157.956.6
59.034.339.764.062.1
57.230.243.561.467.0
55.531.047.260.064.2
57.339.646.161.758.3
59.132.042.361.464.5
54.932.446.360.865.9
52.731.042.361.165.7
50.838.548.349.062.9
52.531.651.059.765.2
55.831.247.259.068.8
51.731.742.760.7
P65.7
47.938.257.756.062.5
48.938.256.255.865.0
50.433.752.059.866.0
48.531.944.162.2
P66.9
49.748.553.157.056.3
49.039.357.654.965.4
46.839.254.254.467.8
45.431.748.063.2
51.845.450.451.163.2
47.344.254.157.764.6
44.044.756.654.5
P65.9
42.633.852.562.1
43.848.352.858.859.3
45.949.450.454.666.7
41.346.552.857.9
P67.6
39.335.855.862.4
46.252.046.550.059.8
40.650.749.955.9
P63.9
38.945.653.158.8
36.137.560.760.8
42.748.953.456.7
P 56.0
38.350.851.755.8
P63.6
35.847.855.859.7
35.840.059.763.5
41.646.856.957.4
p 59.6
36.244.956.262.4
33.644.556.360.8
33.045.260.462.8
41.346.552.561.0
35.743.758.661.5
32.041.464.262.8
33.045.660.163.1
41.346.157.357.4
35.440.959.860.8
30.239.962.263.6
30.645.460.763.5
Manufacturing payrolls, 139 industries1
48.932.738.152.554.3
44.624.530.960.156.1
43.515.834.254.058.3
37.816.542.450.050.7
47.535.640.657.653.6
45.321.936.358.357.6
39.920.937.151.856.1
35.316.236.752.554.3
43.931.345.047.851.1
45.020.545.351.456.5
42.821.241.048.659.4
33.517.336.348.6
P 54.0
46.837.457.941.756.1
38.832.750.740.653.2
41.026.348.647.154.3
33.118.036.049.3
P57.9
40.345.747.846.050.0
41.736.355.437.157.2
36.334.952.237.158.3
28.120.939.650.7
46.843.550.040.358.6
38.839.653.643.555.8
34.239.254.734.2
p56.1
26.324.145.748.9
38.846.453.249.352.9
38.147.147.140.361.5
29.142.146.439.6
P60.4
23.726.350.050.0
42.449.341.742.856.8
28.846.047.141.0
P55.0
25.240.349.345.7
20.530.655.848.9
35.642.849.346.8
P49.6
30.948.242.443.2
P59.4
22.340.350.447.8
19.432.757.950.0
38.547.847.850.0
P60.8
23.039.950.052.9
21.237.148.950.4
16.538.155.450.7
29.141.452.555.4
23.036.751.154.7
18.032.457.954.3
16.238.852.951.4
34.239.651.851.1
21.633.555.056.1
16.932.756.855.8
15.837.452.951.4
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 1993 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data (beginning April 1993) and all seasonallyadjusted data (beginning January 1990) are subject to revision.
51
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ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted
(In thousands)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Total1
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
1,718.0254.1
1,589.0993.8
11,969.81,678.01,528.7
350.6667.4
5,612.13,138.8
538.3440.9
5,335.72,589.41,285.21,145.01,538.51,644.2
519.82,108.5
2,866.23,991.72,243.51,005.02,416.3
329.6768.1679.1501.4
3,502.1
628.67,737.93,270.7
287.24,912.11,241.61,319.95,115.0
431.81,578.8
316.82,342.17,550.3
813.3256.8
2,938.42,266.5
655.72,416.8
210.9
1,722.3254.3
1,587.5995.9
11,953.11,680.91,528 5
349.6670.0
5,628.63,155.5
539.6445.1
5,354.22,599.11,287.11,146.61,540.01,644.4
521.92,109.1
2,869.83,991.12,256.01,008.72,419.3
330.2768.4683.7504.4
3,510.0
630.37,748.43,279.0
286.94,920.61,240.61,323.15,119.9
431.61,579.3
318.02,353.47,561.9
818.6257.9
2,945.12,264.2
657.82,423.4
211.1
1,721.6254.1
1,591.6997.7
11,943.71,683.61,525.1
350.3668.1
5,644.93,163.3
537.3447.5
5,359.32,609.01,291.51,146.21,542.31,645.8
522.22,108.6
2,870.24,007.62,266.31,010.12,422.4
329.7767.7688.6504.0
3,512.1
630.87,759.73,287.0
287.14,917.51,241.61,327.75,126.6
431.61,581.6
318.52,358.07,578.1
825.0257.8
2,952.92,268.2
659.52,429.4
211.2
1,722.2255.4
1,593.7996.1
11,940.31,690.51,522.6
350.8667.0
5,668.33,170.9
536.5448.4
5,374.02,612.21,293.41,149.71,539.61,647.9
521.62,111.0
2,868.44,014.72,272.71,009.92,430.9
331.0768.9696.5504.6
3,516.9
631.47,764.73,294.4
287.64,923.91,241.31,329.35,138.4
432.01,583.8
318.62,365.57,594.4
831.7256.8
2,960.22,269.1
666.92,431.4
212.3
1,722.7255.0
1,597.71,000.3
11,947.61,692.51 532.2
350.0665.8
5,657.83,176.8
534.0451.2
5,352.02,613.51,293.11,150.51,529.21,642.1
517.72,111.4
2,891.74,028.42,283.31,013.62,421.8
331.2770.2697.9508.8
3,521.3
638.87,775.73,293.5
287.44,929.71,249.01,331.25,109.8
430.71,589.8
323.22,362.17,569.3
839.9256.4
2,959.42,270.1
663.22,429.3
213.3
1,726.4258.2
1,604.61,003.0
11,957.51,700.21,530.4
349.6665.0
5,685.33,201.2
533.4453.1
5,372.92,616.01,293.81,150.61,539.21,651.9
520.92,102.8
2,892.44,044.02,288.71,016.42,430.9
332.0766.9702.9512.5
3,510.6
639.87,779.13,295.9
288.84,940.71,247.61,332.45,114.6
430.61,593.1
324.42,370.67,601.9
842.9258.4
2,968.12,275.1
665.12,431.0
213.3
1,730.2258.3
1,615.61,005.8
11,955.21,701.61,525.8
350.6664.2
5,701.53,214.0
533.0456.6
5,375.22,634.21,297.71,153.11,547.21,663.5
520.82,106.3
2,897.74,067.22,293.01,023.02,436.8
332.3767.0706.1514.3
3,519.0
641.87,793.53,317.3
291.14,942.11,247.91,336.55,134.5
430.51,591.7
325.52,372.17,622.9
847.1258.9
2,988.22,277.7
665.62,441.8
212.0
1,734.7256.7
1,623.91,006.4
11,955.21,706.31,530.2
354.5663.5
5,730.53,224.1
533.3458.9
5,376.82,635.91,303.31,147.11,550.51,673.8
524.02,115.6
2,917.24,076.62,298.81,025.02,456.3
331.4769.2709.5514.0
3,539.5
649.77,796.43,319.3
291.24,940.51,256.11,338.65,149.2
432.31,591.8
326.42,377.37,660.2
848.7260.4
2,995.72,275.4
667.72,443.6
212.0
1,732.5256.0
1,626.81,012.2
11,953.21,707.11,533.6
356.9663.4
5,738.93,233.4
530.0460.3
5,397.82,634.51,307.81,156.01,552.81,680.1
527.72,116.6
2,922.24,084.12,296.31,030.42,463.8
333.5772.4711.1512.2
3,546.7
651.67,812.43,328.6
291.24,950.51,259.41,343.95,171.3
434.41,593.7
327.42,387.67,675.6
850.5258.8
3,001.82,281.1
677.42,445.8
211.9
1,742.0257.3
1,638.41,016.1
11,946.41,712.81,530.7
358.9661.3
5,760.33,248.5
532.1461.4
5,408.42,633.01,315.31,165.91,559.91,684.0
527.22,115.9
2,927.04,101.72,301.51,035.92,471.8
334.2774.0709.8513.3
3,552.3
656.17,812.73,335.7
290.94,953.51,264.61,347.75,183.8
438.41,595.6
330.12,393.07,705.5
854.5259.1
3,004.32,293.2
671.02,459.1
212.4
1,727.9257.1
1,645.51,023.7
11,960.11,722.51,534.3
356.566S.3
5,776.63,244.2
530.9463.4
5,411.62,637.51,311.21,158.21,565.51,685.3
530.22,113.6
2,934.74,099.02,301.51,040.72,474.7
335.2782.7711.3518.0
3,558.8
657.97,839.53,334.6
292.34,951.91,268.01,352.75,172.2
436.31,596.3
331.62,394.67,744.6
859.1258.4
3,013.62,293.7
671.32,470.1
211.8
1,732.9258.7
1,653.41,030.0
11,968.81,724.61,535.4
360.5662.6
5,793.03,261.9
531.2463.5
5,418.52,638.01,312.41,161.41,569.11,695.4
530.42,115.3
2,942.24,107.82,304.11,046.22,479.5
338.6785.9715.1514.0
3,565.1
659.27,836.43,345.9
294.34,954.91,265.61,358.65,180.7
438.41,594.5
332.22,395.17,777.2
864.2257.9
3,016.32,297.2
676.02,470.0
213.2
1,737.9259.0
1,661.41,031.8
11,952.31,725.71,533.0
359.8664.9
5,825.03,275.9
532.9464.2
5,420.22,646.91,313.91,163.51,578.71,704.7
528.92,122.5
2,941.84,129.22,307.31,032.42,491.8
340.2786.3718.8512.7
3,563.1
661.17,833.23,343.5
294.64,958.81,272.81,359.35,184.7
436.01,595.3
332.02,398.37,776.8
869.2258.6
3,026.32,295.5
679.32,470.2
213.7
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)
State1993
Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept.p
Construction
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
Hawaii2
IdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
78.711.791.237.0
446.085.245.918.28.5
289.2132.1
31.825.7
198.6118.549.248.971.097.420.4
119.7
83.9134.678.741.096.814.232.147.817.0
114.0
36.8239.4156.011.7
184.842.156.1
197.712.282.3
12.995.9
352.439.911.8
154.7120.132.995.512.3
79.311.892.737.3
447.085.445.718.28.4
291.1131.5
32.025.5
200.8119.749.649.370.998.621.1
120.4
84.8134.280.542.197.914.332.547.617.0
116.0
37.3240.6156.2
12.0184.742.255.8
198.612.081.9
13.297.3
354.740.611.4
155.4120.933.795.512.4
78.411.794.037.2
446.985.346.318.38.5
292.1131.7
31.725.8
200.0120.451.149.270.998.521.4
121.0
84.6134.681.341.698.414.232.547.217.2
116.4
37.6240.0156.512.0
185.142.457.1
198.811.882.0
13.197.6
355.341.911.3
155.8121.334.395.912.5
78.611.995.437.1
447.186.747.318.38.6
294.2133.0
31.025.7
201.7119.750.548.970.598.121.7
121.6
85.2133.981.841.799.714.232.647.117.6
118.2
38.2240.3157.4
12.2185.542.356.1
200.311.281.8
13.298.2
356.543.111.1
156.5120.933.995.212.6
78.912.498.137.8
446.487.047.917.98.2
295.1135.7
30.727.3
196.2116.849.448.566.396.921.5
118.9
86.0132.782.241.199.414.632.548.118.1
116.4
38.4244.0159.0
12.4183.143.657.9
194.710.781.9
13.197.1
358.543.610.9
156.6122.031.892.412.6
78.213.1
101.038.5
450.385.049.117.48.1
295.2132.8
30.327.2
197.1118.249.347.067.298.721.6
117.8
85.2134.282.439.8
100.914.431.048.018.3
114.5
37.8242.4158.112.5
184.142.556.6
194.810.481.4
13.396.1
361.144.511.0
156.0121.832.291.012.5
78.413.0
101.939.4
451.684.347.917.38.4
296.5136.2
29.728.0
201.1122.350.447.969.1
101.421.5
117.3
84.3138.282.640.7
101.014.131.848.818.3
116.3
38.3244.1160.613.3
182.941.957.9
194.710.381.9
13.895.9
364.845.310.8
158.2123.032.993.912.7
79.412.9
103.238.8
452.483.646.917.78.3
300.1138.1
30.027.7
199.1121.650.748.570.2
102.621.5
118.0
88.5137.082.141.5
102.914.032.348.718.0
120.6
39.0245.8161.5
13.5182.843.157.6
200.910.683.0
13.995.7
366.046.110.8
159.1121.933.896.812.8
79.913.0
102.839.6
451.983.446.218.38.5
300.5138.0
29.328.5
202.3123.651.249.470.9
103.922.1
118.0
89.0136.881.942.5
104.814.333.248.417.6
121.8
39.6244.9163.012.9
183.543.859.2
202.111.682.5
14.096.8
365.946.811.0
159.5123.934.298.413.1
80.512.5
103.540.2
452.284.645.919.18.8
300.1138.5
28.929.0
202.8121.950.350.769.3
105.621.5
119.2
88.3138.881.341.9
105.514.533.448.417.1
122.3
40.7248.0164.113.0
183.545.460.6
203.312.581.6
13.796.9
370.548.011.2
159.4125.934.6
100.612.4
80.412.5
103.040.2
453.685.246.819.18.8
304.0134.7
29.029.4
202.0123.549.852.470.2
104.921.6
119.7
86.9142.380.541.4
107.414.832.949.417.1
123.7
41.7251.0163.9
13.0182.446.260.8
202.813.182.1
13.896.6
373.049.411.1
159.9127.035.4
101.112.6
80.012.7
104.040.6
452.485.945.818.98.7
304.9139.5
29.629.2
203.0123.449.552.269.8
105.021.9
120.3
87.1139.780.441.9
107.614.732.949.316.6
123.8
42.3252.3164.0
12.9181.947.261.8
203.112.481.3
14.396.7
374.449.211.0
160.4126.835.4
101.312.4
80.512.5
104.541.4
452.886.946.319.08.9
307.3142.1
29.729.2
205.0125.749.552.270.6
106.122.0
121.1
86.6141.880.540.5
108.614.933.349.116.9
122.7
42.8255.3164.712.6
182.347.963.9
201.711.681.2
13.697.8
375.549.111.6
161.6126.735.5
102.412.4
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)
StateSept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Manufacturing
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
383.417.2
174.0244.1
1,786.6187.9291.964.713.8
483.8556.6
19.069.4
934.8638.5236.8182.0293.0186.390.9
178.2
450.3894.3404.4253.5410.6
23.0104.030.596.6
515.1
43.3975.9847.1
19.61,046.7
168.3211.3936.186.6
373.9
40.2530.8992.6109.243.3
405.2338.6
82.7559.1
9.5
382.617.3
174.1244.9
1,778.7188.1290.9
64.813.9
483.5556.3
18.870.0
936.5638.7237.1181.5292.7186.791.6
178.1
449.8897.1405.7254.6412.1
23.1104.030.496.7
513.9
43.4973.7847.5
19.51,044.6
169.1212.9935.0
86.7372.2
40.7531.5994.0109.943.3
405.9338.5
82.5561.1
9.5
382.216.5
174.4245.5
1,773.4187.7289.0
64.413.9
482.6558.0
18.870.6
937.1640.6238.0181.2293.3186.591.8
177.9
447.6906.5407.0255.4412.8
22.7104.130.497.1
512.9
43.5972.5849.1
19.61,046.0
169.4212.5934.886.3
371.5
41.2532.9995.3110.843.3
406.5337.0
82.8562.3
9.4
381.816.5
174.7245.6
1,766.1188.8287.964.214.0
482.7558.8
18.770.8
940.2642.0238.4181.2292.8186.791.8
177.7
446.1911.4408.3255.5412.8
22.7104.030.597.1
512.6
43.4971.4847.9
19.71,047.4
169.7214.1935.7
86.4371.8
41.3534.4997.0111.643.6
405.2335.2
82.6563.2
9.4
380.715.4
176.2247.3
1,766.2188.7287.2
64.414.1
480.7559.7
17.871.1
942.1644.1240.4181.9293.3186.391.2
177.8
445.7931.2410.6256.3411.4
22.9103.930.697.1
514.9
43.4965.5847.7
19.81,050.3
170.1214.8936.186.7
371.7
41.8534.8994.5114.243.2
406.4335.6
81.5566.0
9.6
381.618.4
176.4247.0
1,761.1188.9285.163.614.2
480.6565.6
18.071.4
941.3647.8241.1182.0293.2186.492.4
177.5
445.5929.8410.5257.1412.1
23.0104.230.897.9
511.0
43.6965.0847.6
20.11,052.9
168.5216.1935.4
86.7374.4
41.9537.6995.8114.243.2
403.3333.9
81.3566.5
9.8
382.917.5
176.4246.9
1,761.1188.8285.9
63.714.1
481.4565.7
18.172.7
941.5647.2242.1182.2294.1187.292.7
177.0
445.5934.2410.2258.0412.4
23.0104.031.098.1
509.7
43.4961.8851.9
20.51,053.0
169.1216.5936.886.5
372.3
42.4537.5997.6115.043.1
401.9333.8
81.3567.9
9.9
383.116.0
177.9248.3
1,760.8190.3284.7
63.714.2
482.8566.4
17.972.8
940.0649.7242.4182.1295.2187.892.5
177.3
446.8935.6410.5256.7412.322.6
104.131.698.1
510.4
44.0960.0851.1
20.91,052.5
169.2216.6934.386.5
371.7
42.4539.0
1,000.1115.242.8
399.6332.5
81.4568.2
9.9
384.014.5
178.3249.0
1,754.8191.0286.2
63.414.1
482.8567.3
17.872.2
939.0650.0243.5182.6296.1186.792.8
177.2
447.3930.5411.4257.8410.4
22.6104.031.898.1
509.7
43.8958.3850.4
20.91,052.6
169.4215.8936.0
86.3370.8
42.5537.9
1,000.5115.442.7
401.6331.8
81.4568.5
9.9
384.416.1
181.2250.7
1,752.3191.0285.5
63.314.0
483.2568.7
17.772.7
939.0649.5244.5182.3297.6186.092.7
176.4
448.1940.7413.7259.0409.8
22.6104.531.898.3
507.8
44.2954.9850.0
21.11,054.6
170.2218.0936.9
86.4371.2
43.2540.6
1,000.6115.042.8
400.7332.6
81.1572.9
9.9
381.916.3
182.3252.3
1,755.5190.7284.3
60.714.0
484.3565.5
17.472.7
930.5652.3245.0180.5299.1186.392.4
176.5
450.3938.5414.2260.5408.0
22.5105.631.999.7
507.2
44.6955.4854.0
21.11,056.7
170.7218.8937.883.5
372.0
43.9540.8
1,000.2115.243.2
404.1332.9
81.0574.8
9.9
385.016.4
183.1253.9
1,753.1190.1284.4
63.814.1
483.4572.7
17.473.2
929.0652.1244.1181.0300.4186.791.6
176.9
449.2943.6416.6260.6414.2
22.5105.831.898.4
510.0
45.4952.4852.7
21.31,058.2
169.0216.4937.286.4
370.4
44.5539.3
1,000.7115.443.2
401.8333.6
81.4573.2
9.8
386.017.4
182.5255.9
1,750.5190.6282.5
63.614.2
484.5571.3
17.471.6
930.3654.1244.5182.8302.5187.191.9
176.8
446.9944.8417.1258.6416.522.6
105.531.997.8
507.2
45.8947.3852.821.2
1,056.9169.9216.5934.885.9
370.8
44.8539.1
1,002.5116.943.5
402.5333.0
81.5572.3
9.9
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)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Transportation and public utilities
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
85.222.977.957.2
600.6104.569.514.921.1
285.2203.6
40.920.8
312.0133.957.267.082.4
105.122.198.6
125.0155.6106.645.8
155.120.247.135.618.0
235.2
28.9399.1156.5
18.1213.171.665.9
266.314.566.4
14.7127.8438.747.211.0
150.1115.538.8
113.614.6
85.322.877.556.9
600.1104.069.415.0
CVJ
285.7203.1
40.621.1
311.2134.757.067.182.4
105.821.698.3
125.8156.1109.046.0
154.520.247.035.817.9
234.4
28.9400.4156.6
18.1213.2
71.266.0
267.114.366.5
14.6128.7439.4
47.411.0
150.7114.638.7
113.814.6
85.522.876.956.8
597.5104.769.315.120.8
287.0203.4
40.121.4
312.2135.056.967.382.6
105.721.897.9
124.9156.3109.945.3
154.520.347.235.917.9
235.1
28.9401.4156.8
18.2212.9
70.966.2
267.214.566.6
14.6128.3441.6
47.711.0
151.4114.338.6
113.914.6
85.222.976.657.1
597.9104.969.314.920.8
289.9202.9
39.821.4
313.8135.056.967.782.5
106.321.998.1
125.3156.4110.145.2
154.720.447.435.918.0
235.1
28.9402.4156.7
18.2212.7
70.966.4
268.914.766.7
14.6128.1443.3
48.110.9
151.5115.439.0
114.414.6
85.023.078.656.3
600.1104.269.214.820.8
283.7203.6
39.921.1
312.1135.356.868.081.8
105.721.498.9
126.7158.8110.044.6
154.520.047.236.018.1
237.7
29.4404.2155.818.3
212.571.366.0
269.214.566.2
14.9127.1443.549.210.9
150.9115.139.2
114.014.6
84.923.278.656.4
599.3105.169.315.120.7
285.0205.4
39.821.0
313.2135.356.968.382.9
106.121.597.7
127.3158.8110.244.7
154.620.247.436.018.2
238.0
29.7406.0156.318.4
212.571.666.1
268.614.666.8
14.9128.5445.0
49.311.0
151.4114.639.7
114.214.7
85.123.478.556.6
598.9105.068.414.920.8
286.4206.2
40.121.1
312.6135.757.268.182.9
106.621.397.3
127.9159.1109.944.9
154.820.247.836.318.2
238.7
29.9406.4157.1
18.4212.0
71.866.4
269.414.567.0
14.9128.9444.949.810.9
152.8117.039.3
114.414.6
85.223.178.756.1
591.8103.169.515.020.9
286.4203.5
40.321.3
306.1132.957.368.283.1
106.620.997.0
127.0154.1108.543.7
151.720.247.036.417.9
236.9
30.0402.7155.7
18.3203.8
71.865.0
262.814.566.5
15.1124.1444.5
48.211.0
151.3115.239.0
111.214.5
85.023.479.356.8
594.3103.568.915.221.2
288.1207.7
40.121.4
311.3135.857.468.783.7
107.221.097.6
127.5160.5109.345.2
155.020.447.236.518.2
238.7
30.1405.8155.718.3
212.572.066.2
271.514.667.7
15.0129.7445.6
48.510.9
153.3117.339.2
110.814.4
85.123.179.457.0
593.7103.268.915.221.2
286.9208.1
39.821.4
312.5136.257.769.184.2
107.321.597.1
127.4160.0109.446.2
154.720.447.236.718.3
238.5
29.5405.2156.318.1
212.572.066.6
272.114.567.3
15.3129.5446.648.710.9
151.9118.239.3
113.614.4
84.823.178.957.6
594.5104.569.014.921.1
285.9207.9
39.921.5
312.7136.657.669.284.8
107.921.796.2
127.7158.9110.045.9
154.420.447.536.618.4
238.2
29.8399.8157.4
18.4212.0
71.766.9
269.514.467.3
15.4129.9445.649.411.2
153.2119.339.6
113.414.2
84.823.179.058.1
593.6104.768.715.321.0
286.9208.0
39.821.0
311.8136.857.469.284.8
108.121.296.4
127.1158.8109.246.2
153.920.547.937.018.0
238.8
29.8398.5156.6
18.4211.5
71.467.2
267.814.067.4
15.5130.3450.0
49.811.1
152.9117.339.8
113.514.1
85.223.178.958.1
592.9104.868.115.120.9
287.5205.8
39.721.3
314.3137.457.969.585.1
108.121.296.0
126.2159.2110.845.4
155.420.448.237.017.9
238.7
29.4400.1155.518.5
211.871.467.3
268.614.566.8
15.3130.4452.250.111.1
152.9118.339.8
113.714.2
55
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)
StateSept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Wholesale and retail trade
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
377.849.6
389.0221.1
2,775.9406.8326.576.352.7
.,462.4782.7
132.6110.4
1,246.3605.6321.4276.0361.5382.0131.3498.9
648.9936.2535.4210.7574.188.3
193.7135.0129.1815.9
147.81,551.6
736.875.1
1,174.8289.6329.2
1,148.095.8
352.7
81.6537.5
.,822.5193.660.6
651.4547.6149.8554.148.4
379.349.4
389.8221.4
2,768.8408.2327.0
76.052.6
1,464.8784.6
132.6112.2
1,250.8613.7322.3276.1361.4380.4131.3498.3
649.7936.6538.3211.1574.288.4
193.8135.4129.2818.5
148.31,551.7
737.675.3
1,174.8289.9330.0
1,148.895.1
353.9
81.3541.0
1,827.1194.860.5
652.6549.4150.5556.248.2
380.050.2
390.1222.2
2,765.4409.9324.9
76.052.2
1,468.3786.5
132.3112.9
1,253.2618.3322.4276.7361.2381.3130.9497.8
650.5939.9540.9211.4574.388.4
194.1136.0129.0818.0
148.31,553.1
737.875.2
1,174.8289.9330.4
1,150.394.9
355.3
81.3541.7
1,833.0196.260.1
653.0549.4151.3558.948.2
381.550.4
389.9221.7
2,765.3411.3322.6
76.251.9
1,472.8787.2
132.2112.8
1,254.5618.8322.8277.0360.6382.4130.1497.9
648.1941.6540.8211.5575.188.6
194.0136.9129.3819.4
148.31,555.7
740.675.3
1,175.3289.5330.8
1,153.295.1
356.4
81.2543.7
1,844.9197.160.6
655.0550.7152.3558.748.4
380.649.9
389.3221.2
2,769.4413.1328.1
76.752.1
1,463.8787.2
131.7113.2
1,251.9614.3321.7276.2359.5379.7129.7500.8
656.2937.7544.7211.9572.589.0
194.3137.0129.9823.4
150.41,567.2
736.374.9
1,178.0290.8330.4
1,146.394.3
357.1
82.4542.3
1,834.7198.260.9
658.9549.1152.1554.248.5
382.349.7
390.2222.2
2,768.3415.9328.2
76.351.8
1,477.3794.2
130.7113.7
1,264.6615.4322.3277.2363.5382.6129.6499.2
655.3945.8548.0212.8574.989.2
194.2137.9130.2819.0
150.71,566.4
738.875.2
1,180.6292.5330.7
1,149.494.6
358.8
82.8545.5
1,842.6198.561.1
663.1552.4152.3556.6
48.6
383.750.6
394.4223.6
2,768.6417.7325.176.752.1
1,479.2795.7
130.4114.6
1,263.6615.7321.5278.3364.9386.8129.4500.3
659.9952.0549.0215.0575.389.0
193.5138.4130.9822.3
151.21,571.2
743.175.6
1,181.7291.4331.9
1,155.794.4
358.1
82.6546.1
1,848.6199.961.4
668.7551.9152.4557.248.3
384.751.3
397.8223.6
2,768.4420.3326.6
77.851.6
1,484.9796.9
130.3115.9
1,271.1616.3323.9277.1365.5388.2132.1502.2
663.9957.5551.5216.6581.588.8
193.6139.3131.9827.5
153.41,570.5
743.675.4
1,182.3293.2334.6
1,157.694.6
357.9
83.0550.5
1,855.5199.561.5
672.7551.0153.6558.1
48.3
384.451.1
398.4224.5
2,765.2421.0327.1
79.152.0
1,487.0797.3
129.4116.0
1,273.7615.9324.8278.2367.0389.5133.3503.0
668.7960.0548.3217.1582.489.0
193.4140.1130.8828.8
153.71,572.4
745.275.1
1,185.4292.7335.0
1,160.495.2
358.3
83.3552.0
1,862.5199.961.3
675.4551.5154.1559.5
48.0
385.951.2
401.4224.6
2,760.8424.9325.7
79.652.8
1,491.6800.6
129.1116.3
1,278.7614.7326.0278.9368.6390.8134.3504.7
670.6965.4548.9217.7581.489.8
194.3140.7131.9831.3
154.01,574.2
745.075.2
1,183.5294.6335.5
1,166.396.1
358.2
83.6552.7
1,867.6200.761.8
675.6554.5154.3559.948.8
385.151.4
400.6226.8
2,762.8427.1327.1
79.552.3
1,492.9797.4
129.3116.8
1,275.7615.9325.9277.6370.4392.0135.6505.0
673.1963.2548.9216.4580.890.0
197.0140.4131.8834.8
155.51,579.4
745.475.8
1,185.3296.6335.2
1,164.495.9
357.3
84.2556.3
1,874.9202.461.2
677.6552.7154.4561.349.3
385.651.9
403.6228.4
2,764.3427.7326.3
79.353.1
1,499.5798.5
130.0117.1
1,277.7615.7326.8277.4370.9393.6136.4504.4
675.9961.2549.4217.3581.790.6
197.3140.4130.0836.6
155.51,582.8
746.675.9
1,185.4297.2338.2
1,168.596.9
357.8
84.0557.0
1,882.9203.361.2
677.6553.6154.9564.549.7
385.752.1
403.7229.6
2,762.7430.0324.879.053.2
1,504.7802.8
130.3117.7
1,280.4618.6327.1278.5371.9394.5136.1503.9
675.3964.9549.9216.5585.890.8
198.2141.0131.1836.7
155.11,583.1
747.475.6
1,184.1298.0336.4
1,167.696.5
358.3
84.3558.6
1,885.0204.560.9
681.1555.8155.4564.049.5
56
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)
StateSept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Finance, insurance, and real estate
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
75.811.3
100.540.7
785.1107.2138.935.430.7
358.4167.1
39.423.0
384.4128.774.658.562.777.925.8
129.8
200.3193.1136.938.9
141.915.050.631.529.8
229.7
27.8728.4139.913.6
259.261.593.0
304.125.466.1
17.9104.2430.541.012.1
158.3121.725.2
131.47.8
76.011.4
100.840.8
783.2107.7139.135.530.6
359.9167.4
39.623.1
384.8129.074.858.463.078.125.9
129.9
200.6189.5137.738.9
142.315.050.531.729.9
230.3
27.8729.2141.013.6
259.361.393.5
304.025.366.2
17.9104.9431.841.612.2
159.2121.925.1
132.0in
76.111.3
101.140.9
782.2108.2138.735.830.3
361.0167.2
39.423.3
385.5129.375.058.663.477.926.1
130.0
200.5193.3138.438.9
142.314.950.731.829.9
230.7
27.7728.7141.113.6
259.661.393.8
304.725.366.3
18.0105.1433.8
41.612.2
160.1122.325.1
132.47.7
76.511.4
101.341.0
780.7108.7138.335.930.0
361.7167.6
39.423.3
386.0129.575.558.663.277.926.0
130.0
200.6193.5139.138.9
143.115.050.631.929.9
230.6
27.8728.7141.713.7
260.161.193.9
304.625.266.3
17.9105.4435.542.512.3
160.8122.725.1
132.77.8
76.911.4
101.340.9
782.4108.4138.436.030.0
362.8166.6
39.623.4
385.4129.475.258.463.077.825.9
130.6
201.4192.5139.338.7
141.215.150.532.130.1
230.5
28.1727.4141.913.7
260.561.294.4
303.125.366.2
18.0105.2434.244.212.2
160.0123.225.0
132.67.9
77.111.4
101.141.2
780.9108.6137.836.229.6
363.5167.1
39.523.4
385.5129.475.158.562.877.825.9
130.4
201.4192.6139.739.2
141.315.150.832.130.1
231.1
28.2728.6142.213.8
260.461.394.7
304.325.466.5
18.1105.3434.444.612.1
160.9122.925.0
132.47.9
77.211.3
101.341.4
780.5108.8136.836.429.3
364.5167.5
39.523.8
384.9129.675.458.662.978.126.0
130.1
201.6193.6140.039.4
141.915.250.632.130.1
230.9
28.3729.5142.913.8
260.661.695.4
304.525.266.3
18.2105.3436.945.012.0
161.2122.325.1
132.77.8
77.311.5
101.541.2
778.5109.5138.136.729.5
364.2167.4
39.624.1
385.3129.875.758.862.978.626.1
130.2
202.3194.8139.639.5
143.015.150.732.129.8
231.0
28.9730.3143.813.8
260.961.895.9
305.925.466.3
18.2105.6438.645.912.0
162.2122.125.0
132.67.8
77.011.4
101.741.4
774.8109.1137.336.729.9
365.2167.8
39.624.0
386.3129.975.959.062.578.725.9
129.6
202.2195.5139.339.1
143.215.250.532.129.8
231.1
29.0730.9144.713.8
260.961.996.5
307.225.266.4
18.2105.8438.846.212.0
162.9121.825.0
132.97.7
77.011.4
102.541.4
770.4109.4136.836.930.1
365.7167.7
39.624.2
386.7129.875.959.462.579.125.8
129.1
202.3196.4138.839.1
143.115.150.632.129.5
232.3
29.0733.7145.313.9
260.762.096.5
307.225.066.4
18.2105.9438.946.011.9
163.5121.825.3
132.97.8
77.011.5
102.941.6
768.2109.7136.037.030.2
367.0167.3
39.424.3
387.8130.075.959.162.279.225.8
128.6
202.6196.6138.638.9
144.015.250.532.029.0
232.7
29.3734.8145.313.9
260.862.196.6
307.725.266.2
18.2105.9437.746.812.1
164.3121.325.3
133.37.7
77.211.5
102.741.6
765.4109.3136.137.130.3
367.2167.0
39.224.4
386.9129.876.058.762.679.425.8
128.1
202.2196.0138.539.1
143.515.150.432.128.8
232.0
29.2733.8145.614.0
260.661.896.9
307.725.166.3
18.1106.2439.546.312.1
164.6121.625.4
133.67.7
77.011.5
102.541.6
763.0109.1135.837.530.1
368.7166.8
39.224.6
388.7129.676.358.862.679.225.9
128.3
202.2195.1138.738.8
143.315.050.332.229.0
231.9
29.4733.9146.114.0
260.762.196.6
307.125.066.3
18.2106.1440.546.912.0
165.7120.825.5
133.47.8
57
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)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May July Aug. Sept.P
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
See footnotes at end of table.
Services
365.157.1
454.2221.3
3,466.1473.0447.8
90.7254.5
1,842.4742.5
163.398.9
1,485.9560.1319.6272.0365.1410.4135.2660.9
966.61,026.0
619.1199.3654.3
89.1189.2297.2138.6
1,024.0
168.12,418.7
697.077.4
1,281.4305.6330.6
1,532.4136.8337.5
79.3578.9
1,950.9213.9
74.6806.5585.2168.0600.443.1
366.656.7
454.7222.2
3,465.4474.1447.8
90.6258.4
1,850.5750.7
164.299.7
1,483.7561.2319.8273.2366.1408.9136.3665.4
968.21,027.1
621.3199.5654.3
88.9189.1301.1138.7
1,026.8
169.02,427.3
700.277.9
1,285.5304.8331.0
1,536.0137.1339.0
80.8581.8
1,953.1215.6
75.2809.4586.0169.5601.3
43.1
365.457.0
455.5222.2
3,465.3474.2447.3
91.0256.6
1,858.5753.6
163.599.7
1,484.6563.1320.8273.4366.4409.9136.5664.7
972.11,027.0
623.4200.8655.1
89.0188.5305.5138.5
1,028.2
168.82,435.9
703.278.2
1,286.5304.3333.1
1,539.0137.3340.2
80.9583.1
1,954.4217.3
75.7813.2587.3169.4602.0
43.2
365.157.2
456.6220.9
3,469.6475.7447.6
91.3256.8
1,866.7757.1
163.4100.1
1,489.2564.0321.5274.9366.5411.1136.7665.2
974.01,027.5
626.6200.0658.7
89.4188.3311.7138.2
1,030.1
168.92,440.9
707.577.9
1,289.1304.4333.3
1,540.5136.8341.3
81.0585.9
1,954.8218.9
74.2817.2589.3170.0602.4
43.5
365.357.5
455.9223.9
3,469.6477.7453.2
90.7255.4
1,869.8758.2
163.9100.9
1,479.7569.2322.8276.8364.6410.3135.8664.2
987.51,029.8
629.3204.3657.5
89.6189.1312.2140.1
1,031.2
172.62,444.6
709.577.8
1,292.9307.0332.2
1,530.1137.4345.3
83.3585.7
1,948.9221.2
74.2816.7588.3170.1604.9
43.8
368.557.8
458.8224.8
3,480.2482.4450.8
91.4256.5
1,879.3767.9
163.2101.8
1,481.2568.6323.3276.4365.6415.3136.4662.7
987.61,036.3
631.0207.1660.3
89.9188.8315.5140.9
1,033.8
173.12,449.8
711.977.9
1,296.0307.0332.9
1,533.3136.8344.6
83.6587.5
1,966.8221.9
75.3822.9589.2170.9607.9
43.8
368.857.8
463.8225.1
3,478.8482.8451.9
92.1256.4
1,889.5774.3
163.2101.5
1,481.9582.1323.7277.0367.9418.0136.6663.3
990.81,040.0
633.3207.1664.5
90.6188.2315.7141.6
1,036.7
173.32,458.0
717.979.1
1,296.9307.3334.1
1,541.7138.1344.4
83.9587.7
1,976.3222.7
75.8829.5593.6171.2610.3
43.7
370.157.6
466.6225.5
3,487.0483.7453.0
94.1256.1
1,898.9782.9
163.3101.8
1,487.7583.4325.0277.7368.0421.3137.6669.9
997.31,050.2
636.4209.5675.2
90.0190.6316.8142.9
1,046.2
175.52,464.3
719.279.1
1,299.4310.6334.1
1,553.1138.6344.4
84.0591.4
1,998.3223.7
77.5834.0594.2172.3611.7
44.0
368.458.4
466.9226.7
3,490.8485.5456.8
93.9256.5
1,907.2786.6
163.6102.6
1,490.3578.1325.7278.0367.5424.5138.7671.2
997.51,054.5
636.4211.1677.2
90.7190.6317.1143.0
1,047.9
176.32,473.1
723.379.8
1,300.0312.7335.1
1,560.4139.4345.9
84.5594.2
2,004.0223.5
75.3834.0596.7174.0611.5
43.5
369.758.6
469.6227.8
3,493.4485.9457.4
94.7255.0
1,917.7795.3
164.0102.6
1,495.6577.3327.4279.3370.2425.5138.4670.3
1,001.71,059.3
640.2215.9684.8
91.0193.4317.1143.5
1,051.7
175.92,477.5
727.679.6
1,297.3314.5336.0
1,558.9141.9347.9
85.3593.7
2,025.8225.3
75.2837.6599.7173.6614.4
43.7
368.858.6
470.8229.2
3,503.0488.1461.3
94.6255.9
1,927.5800.7
164.2102.9
1,504.4576.8328.3279.9372.2428.0138.2671.9
1,009.91,063.4
641.5218.0688.7
90.7195.1317.2144.8
1,054.5
176.82,487.6
724.179.8
1,300.2317.2338.1
1,563.3141.2348.2
85.0594.9
2,037.0225.6
75.8840.9598.9174.2617.9
43.3
370.058.8
471.6230.7
3,510.5488.7462.5
94.7257.2
1,941.3806.2
163.5102.6
1,507.1579.5328.1280.1373.8433.1139.1669.4
1,014.21,066.9
641.8217.0689.1
90.6195.8317.8144.8
1,058.7
177.02,485.7
726.179.8
1,299.4315.5339.9
1,566.5141.3348.3
85.0594.3
2,040.8229.2
75.6843.9601.0174.1619.8
43.4
370.458.7
474.0231.2
3,511.5488.3462.0
93.9259.1
1,949.4813.1
164.7103.4
1,515.7578.7327.3280.0376.9434.2138.0670.9
1,014.81,069.7
643.8215.2692.7
91.1194.9319.2145.0
1,060.8
178.82,488.8
726.380.4
1,301.9316.7340.4
1,566.4140.7348.9
84.3596.2
2,033.3230.1
75.5848.7599.5174.9617.7
44.0
58
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)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Government
AlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgia
HawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMaryland
MassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew Jersey
New MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth Carolina
South DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
341.274.2
290.1168.8
2,075.2297.5207.350.3
286.0884.6546.6
111.390.6
759.6397.6224.3231.8276.1339.693.9
421.3
390.0642.9355.4210.6379.1
74.2150.088.971.8
566.4
159.91,419.7
533.967.8
738.3267.6232.1709.160.3
298.1
67.6362.5
1,395.5160.042.9
600.9434.5135.0360.457.2
342.474.8
285.8168.8
2,075.6297.6207.749.4
284.9887.0554.3
111.891.3
772.2395.7224.5232.1276.5340.294.0
417.6
389.7641.7356.2211.2379.6
74.6150.189.274.5
568.3
159.71,420.4
536.566.6
744.5266.9232.2709.360.9
297.8
66.8363.5
1,394.3160.343.7
601.1429.6134.9361.2
57.7
343.174.5
287.6169.3
2,078.6297.9208.749.6
285.7889.3555.4
111.591.6
772.6396.0225.2231.1277.7340.293.6
418.1
388.8641.2357.9211.4380.7
74.5149.289.373.9
569.2
160.11,423.0
539.166.4
738.5268.3232.9710.561.3
297.9
66.8364.6
1,397.3161.043.5
602.0433.3135.1361.7
57.6
343.075.1
287.1169.1
2,079.4298.8208.849.9
284.8894.1556.8
112.092.2
773.2396.9225.7232.7276.7339.693.3
419.4
387.8641.6358.5211.8382.5
75.0150.590.074.1
569.2
160.01,420.2
539.266.8
739.5268.6233.0713.862.4
297.7
66.7365.1
1,395.4162.043.5
601.5431.5135.5362.4
57.8
344.375.8
286.3169.4
2,079.8297.9207.349.4
285.1895.8558.3
110.492.2
768.1398.2224.7232.0272.8340.292.1
419.1
387.0637.0359.6211.5381.0
74.4151.189.475.1
565.2
160.41,417.5
539.966.6
738.0269.6233.9710.061.7
299.6
67.4365.1
1,389.6161.143.4
597.5433.5134.8363.0
58.0
343.574.9
286.5169.4
2,084.1298.7209.049.5
284.0898.3560.6
111.992.5
773.5395.1223.6232.4275.2339.493.4
416.4
388.8637.9359.5210.5382.5
74.6149.190.076.6
561.1
160.21,415.6
537.667.0
739.9269.2233.7708.362.0
298.8
67.4365.2
1,393.4161.644.1
598.1436.9135.0360.257.8
343.974.9
287.3169.4
2,083.0298.8208.849.4
283.0897.9560.8
112.092.8
773.4395.4225.3232.4277.1340.293.2
419.8
386.5641.4360.8212.6382.7
74.6149.791.176.7
562.5
160.61,417.2
540.466.7
740.6269.9232.7711.261.4
300.0
67.3365.9
1,390.7161.244.4
602.4432.7134.6363.1
57.2
345.074.6
286.3169.4
2,084.0300.6210.549.4
282.8907.1561.3
111.993.1
771.7396.0226.1226.2277.3343.293.2
419.9
390.2638.7362.6212.3385.4
75.0149.591.875.0
565.0
162.11,417.6
541.066.5
744.5271.4233.1714.261.9
300.3
67.5366.2
1,394.9162.044.1
603.3435.1133.6362.8
57.3
343.874.4
287.4170.7
2,089.4298.5210.2
50.2281.1901.9561.2
110.293.3
779.3395.2227.1231.4276.6343.693.8
418.9
388.9637.4362.3212.4386.5
75.6152.192.274.2
566.9
162.51,421.8
542.966.6
741.4271.9234.4713.361.9
300.4
67.7366.4
1,398.0162.144.9
602.1434.6140.5362.0
57.6
349.174.6
288.6171.0
2,091.8298.6209.650.0
279.3908.9562.2
113.092.9
777.6397.4231.3237.5278.9343.492.9
418.0
387.5632.3361.6211.0388.275.1
149.390.274.2
566.6
166.01,413.8
544.066.3
747.4270.3232.9718.961.8
301.2
68.5368.9
1,394.8162.744.7
603.5437.0133.9362.6
57.5
339.673.8
294.7172.5
2,090.9302.1208.9
50.6280.9908.7563.3
111.793.5
783.2396.2226.4230.8277.9340.694.8
414.6
383.0627.3360.2214.4387.2
75.9152.791.076.7
565.9
163.51,426.2
541.166.6
740.5268.2234.6706.762.8
301.5
365.41,414.3
162.143.1
602.1438.1132.4366.0
57.1
340.274.7
297.1173.2
2,097.8303.0210.6
51.3278.1903.3562.5
111.793.7
787.7394.7228.2234.0278.2342.8
94.3418.7
385.4632.7360.2218.9385.4
79.1154.493.876.9
563.4
163.31,425.4
550.968.3
744.0268.5236.7710.362.1
301.3
68.6366.5
1,427.2162.943.0
604.0439.8135.7361.7
58.2
343.274.1
303.0170.6
2,087.0300.6212.651.6
278.4916.4566.5
111.994.0
770.4396.8229.0232.9280.4349.1
93.7424.4
388.6644.8358.7212.1385.3
79.7154.695.574.5
563.2
163.21,419.2
547.468.5
747.1271.8236.8719.561.6
301.3
69.2365.3
1,426.0163.343.4
602.8437.9137.6364.4
57.8
1 Includes mining, not shown separately.2 Mining is combined with construction.
p = preliminary.NOTE: All State data have been adjusted to March 1993 benchmarks.
59
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
Industry1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.p
Total private
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
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
34.5
45.1
41.64.3
42.44.5
41.240.442.843.843.842.343.242.143.545.141.139.7
40.64.0
40.9(2)41.536.943.838.443.2(2)41.8
38.7
39.8
38.2
28.9
32.4
34.6
44.3
41.74.4
42.54.7
41.440.743.344.144.042.543.242.043.845.941.039.8
40.64.0
40.7(2)41.837.143.738.443.0(2)42.0
38.5
39.7
38.2
28.8
32.5
34.5
44.1
41.74.4
42.54.7
41.240.243.144.244.242.543.341.944.146.141.239.9
40.64.0
40.7(2)41.837.143.738.343.1(2)42.0
38.5
39.7
38.1
28.8
32.4
34.8
44.2
41.74.5
42.74.8
41.740.243.344.243.942.643.442.144.046.241.440.1
40.64.1
40.7(2)41.536.943.738.343.2(2)41.9
38.6
40.1
38.5
29.0
32.8
34.3
44.1
41.34.5
42.24.9
40.639.042.344.244.342.343.141.744.046.341.038.9
40.14.1
40.8(2)40.435.843.238.042.8(2)41.6
37.7
39.7
38.1
28.6
32.3
34.6
44.4
42.14.7
43.05.0
41.340.643.644.644.742.843.942.444.546.541.740.1
41.04.3
41.2(2)42.237.644.138.443.3(2)42.6
38.6
39.8
38.3
28.9
32.4
34.7
45.0
42.24.8
43.05.2
41.440.343.444.945.143.043.942.644.646.141.640.4
41.14.3
41.2(2)42.038.044.038.843.2(2)42.439.0
40.2
38.4
29.0
32.5
34.8
44.5
42.14.7
42.95.0
41.440.343.744.845.142.843.842.344.345.841.940.2
41.04.2
41.1(2)41.837.844.038.843.4(2)42.2
38.4
40.0
38.5
29.0
32.8
34.6
44.8
42.04.7
42.85.0
41.340.843.644.344.442.643.842.244.045.241.640.2
41.04.3
41.3(2)41.937.844.038.843.3(2)42.2
38.3
39.9
38.4
29.0
32.4
34.6
45.4
42.04.6
42.64.9
41.140.543.544.444.842.643.642.243.344.142.140.3
41.14.3
41.7(2)41.637.644.338.643.5(2)42.2
37.9
39.9
38.3
29.0
32.5
34.4
44.7
42.04.6
42.85.0
41.240.443.444.745.042.843.442.344.445.941.839.9
40.94.2
41.3(2)41.537.744.138.543.2(2)42.2
38.6
39.6
38.1
28.9
32.2
34.6
45.0
42.04.7
42.85.0
40.940.643.644.845.143.043.742.044.245.841.739.9
41.04.3
41.3(2)41.537.643.938.743.0(2)42.4
38.7
39.9
38.2
28.9
32.5
34.9
45.2
42.14.7
42.95.1
41.440.743.445.045.842.943.842.444.145.541.939.9
41.14.3
41.2(2)41.737.744.338.943.5(2)42.338.9
40.2
38.7
29.2
32.8
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 These series are not published seasonally adjusted because theseasonal components are small relative to the trend-cycle and/or irregular
components and consequently cannot be separated with sufficient precision.p = preliminary.NOTE: Establishment survey estimates are currently projected from
March 1993 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1990 forward aresubject to revision.
60
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)
Industry1993
Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p 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
125.3
104.3
55.2
126.3
102.9
100.6127.2121.9103.285.771.1
103.492.8
101.4111.2139.775.6
100.1
105.9113.157.498.588.1
110.4123.8101.383.7
132.0
55.3
134.8
118.3
112.7
124.1
121.4
157.6
125.8
104.9
53.8
128.8
103.3
101.2128.7123.5104.486.671.6
104.493.1
101.4111.9142.975.0
100.0
106.0112.559.699.288.2
110.2123.8101.480.9
133.7
55.0
135.2
117.9
112.8
123.7
121.8
158.9
125.9
105.1
55.1
128.8
103.3
101.6128.7122.6104.286.871.7
104.893.7
101.6112.9145.275.0
100.6
105.8112.356.899.087.4
110.2123.2101.679.9
134.1
55.0
135.2
117.6
112.6
124.1
121.3
158.9
127.1
105.3
54.6
128.5
103.7
102.3131.6122.9105.287.071.3
105.694.4
101.8113.8149.475.2
100.8
105.7112.057.198.686.6
110.4123.5101.581.8
134.7
55.2
136.9
118.9
114.0
125.1
124.3
161.2
125.6
103.9
54.3
124.5
102.8
101.4128.2119.2102.887.371.6
105.194.2
101.2113.7149.474.597.4
104.7112.754.296.284.0
109.1122.6100.679.7
134.7
53.9
135.3
117.9
113.1
123.6
121.7
159.3
127.3
106.7
54.5
131.0
104.9
103.3130.4124.8106.588.171.6
106.796.1
103.2114.8150.375.6
100.8
107.1114.158.3
100.688.4
111.2124.1101.480.4
138.3
54.6
136.6
118.6
113.9
125.4
121.5
160.8
128.2
107.3
54.9
132.7
105.4
104.0131.3123.5107.388.570.8
107.896.9
104.6115.3149.575.2
101.9
107.4113.662.099.889.3
111.1125.5101.382.1
138.3
55.7
137.6
118.4
114.5
126.4
122.0
162.5
129.1
107.4
54.2
134.8
105.1
103.8131.6124.2107.888.570.8
107.696.9
103.8114.6147.975.4
101.0
107.0113.260.399.288.9
111.1125.1101.678.7
138.4
53.7
138.8
119.8
114.8
126.6
123.6
164.6
128.8
107.5
55.1
134.0
105.3
104.0131.7126.0107.888.370.5
107.997.5
104.3114.5147.774.3
101.4
107.1113.558.799.488.8
111.1125.7101.680.1
138.6
53.5
138.4
119.6
114.9
127.3
121.8
163.5
129.3
107.6
55.7
135.2
105.2
103.7131.3125.7107.888.971.6
108.097.2
104.2111.9143.775.1
102.8
107.2114.755.798.388.0
111.9125.3101.980.5
139.2
52.4
139.0
119.6
114.6
128.0
122.4
164.6
128.9
107.8
55.2
134.2
105.7
104.7132.0125.1107.689.671.5
109.197.3
105.5116.3153.574.2
102.1
107.0113.660.098.388.5
111.4125.3100.681.0
139.5
54.0
138.3
118.8
114.7
127.6
120.4
163.8
129.8
108.2
55.5
136.0
105.8
104.9131.0125.7107.890.372.1
109.798.4
105.3116.2154.174.0
101.4
107.0113.259.997.888.3
110.2125.8100.584.1
140.8
53.5
139.5
119.8
115.2
128.0
120.9
165.8
131.1
108.5
55.6
134.7
106.4
105.7133.1125.7107.891.673.2
110.499.0
106.3117.1154.674.2
101.4
107.4112.460.898.688.4
111.9126.4102.484.5
141.4
53.2
141.2
120.7
116.7
129.6
123.9
167.8
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.
p = preliminary.
NOTE: Establishment survey estimates are currently projected fromMarch 1993 benchmark levels. When more recent benchmark data areintroduced, all seasonally adjusted data from January 1990 forward aresubject to revision.
61
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
Industry
Millions of hours (annual rate)1
Aug.1994r
Sept. Oct.1994P
Percent change
Oct. 1993to
Oct. 1994p
Aug. 1994to
Sept. 1994r
Sept. 1994to
Oct. 1994p
Total
Private sector
Mining ,ConstructionManufacturing
Durable goodsNondurable goods
Transportation and public utilities ..Wholesale tradeRetail trade,Finance, insurance, and real estateServices
Government
210,141
172,431
1,4019,945
39,28822,66216,62512,14412,04430,66512,52454,421
37,709
211,745
173,351
1,41510,07939,30122,70016,60112,19612,10530,76412,54854,942
38,394
213,414
175,231
1,406
39,47022,80916,66112,30112,28631,16112,85855,765
38,183
3.5
4.2
-.86.42.02.9
.72.43.74.62.16.4
1.01.3.0.2
-.1.4.5.3.2
1.0
1.8
1.1
-.6-.9.4.5.4.9
1.51/,2 ,1.6
-.5
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 Major Subsectors".
SOURCE: Office of Productivity and Technology (202—606-5606).
62
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
Industry1993
Oct. Nov. Dec,
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.p Oct.1
Average hourly earnings
Total private (in current dollars)
MiningConstructionManufacturing
Excluding overtime2
Transportation and public utilities .Wholesale tradeRetail tradeFinance, insurance, and real estateServices
Total private (in constant dollars)3
Total private:In current dollarsIn constant (1982) dollars3 ....
$10.92
14.6214.4311.8411.2513.6611.847.35
11.5610.87
7.39
$10.94
14.5114.4611.8711.2813.7011.807.35
11.5810.88
7.39
$10.96
14.6814.4111.9311.3213.7311.827.37
11.6110.89
7.40
$11.02
14.8814.4311.9511.3413.8011.927.41
11.7310.97
7.43
$11.03
14.8114.5412.0111.4013.8211.887.42
11.6710.96
7.42
$11.02
14.7714.4712.0011.3713.7911.887.43
11.6910.95
7.39
$11.05
14.8714.5212.0011.3313.7711.957.45
11.7710.99
7.40
$11.09
14.8314.6012.0011.3713.8011.987.47
11.8311.04
7.42
$11.08
14.7314.6712.0311.4013.7811.997.47
11.7411.03
7.39
$11.11
14.8014.7512.0511.4213.8412.027.48
11.8011.06
7.38
$11.13
14.8214.7212.0811.4313.8712.017.50
11.8011.08
7.36
$11.16
14.9214.8212.1211.4613.8912.047.51
11.9011.11
7.37
15.0414.8812.1511.5114.0012.207.56
12.0811.21
Average weekly earnings
376.74255.07
378.52255.76
378.12255.14
383.50258.60
378.33254.60
381.29255.73
383.44256.83
385.93258.15
383.37255.58
384.41255.25
382.87253.22
386.14255.05
392.28
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 Clerical
Workers (CPI-W) is used to deflate these series.4 Not available.p = preliminary.NOTE: Establishment survey estimates are currently projected from March
1993 benchmark levels. When more recent benchmark data are introduced,all seasonally adjusted data from January 1990 forward are subject torevision.
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
(In thousands)
Industry1987SIC
Code
All employees
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Total ..
Total private
Mining
Metal mining :Iron oresCopper ores
Coal miningBituminous coal and lignite mining
Oil and gas extractionCrude petroleum and natural gasOil 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 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
Manufacturing
Durable 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
See footnotes at end of table.
10101102
12122
13131138
14142144147
15152153154
16161162
17171172173174175176
242412422421242624324312434243524362442452451249
252512511251225142515
111,398
92,778
613
50.610.315.0
98.791.0
359.5169.3185.0
104.239.434.312.6
4,941
1,155.0573.928.3
552.8
784.2270.1514.1
3,001.8651.1178.5537.4435.5201.5222.2
18,088
10,174
717.484.1
182.2145.534.6
255.6104.869.123.828.545.666.950.783.0
487.8275.6121.490.920.329.4
111,977
92,844
612
50.610.215.1
97.889.9
359.6169.1185.6
104.139.534.212.7
4,947
1,159.8572.228.5
559.1
785.8264.3521.5
3,001.0653.2181.3539.9429.5203.7223.2
18,041
10,171
717.183.4
181.8145.034.7
254.9104.369.423.828.245.667.951.583.5
490.3279.1122.791.621.929.5
113,696
95,814
613
52.011.615.4
114.6107.2
341.0164.2171.8
105.340.434.213.0
5,291
1,235.9621.630.9
583.4
794.1278.6515.5
3,261.2697.5203.5588.7490.7239.8237.8
18,218
10,305
749.979.9
186.3148.335.9
273.4111.476.024.529.147.575.457.687.4
497.9278.3122.891.820.230.5
114,668
95,793
610
51.511.315.4
112.8105.3
340.7161.8173.9
104.640.233.912.8
5,262
1,223.7609.130.6
584.0
802.8275.5527.3
3,235.4691.9196.5584.2487.6240.9234.9
18,246
10,356
747.179.3
185.6147.535.9
270.8109.675.824.529.047.775.858.387.9
500.0280.2122.592.321.730.8
115,272
95,865
606
51.5
112.6
337.4
104.0
5,238
1,226.1
794.1
3,217.8
18,235
10,373
745.6
502.2
75,622
435
40.98.5
12.4
77.871.4
236.782.9
149.9
79.531.1
3,858
826.4394.1
12.3420.0
664.6230.1434.5
2,367.0479.4150.5418.5375.6152.6180.7
12,397
6,837
592.469.4
157.8126.030.1
205.881.855.120.425.838.652.942.367.9
385.9229.8104.175.816.422.4
75,698
433
40.78.4
12.5
76.269.7
236.982.8
150.4
79.131.1
3,865
830.0391.7
12.1426.2
666.3224.0442.3
2,368.7482.0153.2420.5369.7154.0181.5
12,358
6,839
592.368.7
157.6125.630.3
205.281.555.520.325.538.753.743.068.4
388.3233.4105.376.617.922.5
78,356
439
42.29.6
12.7
92.686.5
223.782.3
138.5
80.331.7
4,154
890.3431.1
13.1446.1
674.4236.3438.1
2,589.3516.2171.4463.5424.4185.3193.2
12,585
7,013
621.165.9
161.6128.531.4
220.587.561.021.226.040.660.848.671.7
394.4232.3104.977.316.123.4
78,317
438
41.9
9.412.8
91.485.2
225.081.3
140.7
79.831.5
4,128
878.4419.2
13.0446.2
683.2233.0450.2
2,566.6511.1165.0460.0421.5185.0190.1
12,626
7,068
618.565.6
160.8127.731.3
218.586.161.021.125.840.661.249.071.8
396.1233.9104.677.617.623.7
78,355
435
4,103
12,617
7,087
616.4
397.4
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
61.437.877.435.6
527.714.677.935.342.660.517.832.539.6
196.916.964.398.874.219.42.9
22.3
678.7237.8173.425.6
119.376.25.2
24.541.223.4
161.221.824.168.577.822.2
1,337.141.533.6
123.642.269.756.723.819.7
398.467.972.697.398.625.691.446.145.3
220.528.7
100.880.0
61.637.376.735.6
526.114.677.635.042.660.117.832.439.4
196.416.864.098.874.219.42.9
22.3
676.5236.5172.625.3
118.775.8
5.224.440.723.3
160.321.623.968.678.522.4
1,340.240.432.5
124.042.569.757.324.020.1
398.667.372.897.098.925.991.846.445.4
222.628.9
101.980.8
63.538.881.136.2
543.414.874.531.842.761.718.233.141.0
210.018.268.2
106.276.620.12.8
23.2
687.6233.6169.225.6
124.677.95.8
26.140.022.4
163.622.222.771.983.624.3
1,374.341.233.4
127.843.572.159.624.721.3
408.668.876.894.8
102.926.695.548.746.8
227.829.4
103.184.3
63.638.981.236.1
542.615.075.031.543.561.617.633.041.2
209.317.968.3
105.976.419.72.8
23.4
693.6234.1170.125.2
127.279.85.9
26.639.822.3
164.722.322.872.985.224.8
1,384.340.833.0
128.343.572.760.224.422.1
410.368.776.596.8
102.726.696.349.347.0
232.229.8
106.684.7
542.2
695.8234.0
1,392.1
45.230.057.023.9
408.711.265.531.633.945.913.725.231.1
150.610.848.278.255.514.42.3
517.7181.4133.518.695.461.44.2
19.431.218.3
117.316.516.050.162.517.9
991.535.929.492.332.052.441.017.813.1
285.348.453.466.574.518.270.137.432.7
176.221.985.361.1
45.229.756.423.6
407.211.265.331.334.045.613.625.030.9
150.210.748.078.255.414.52.3
516.8180.6133.018.595.061.1
4.219.430.818.2
117.016.416.050.263.218.2
992.834.728.392.232.152.041.317.713.5
285.247.653.466.674.918.370.337.632.7
178.422.186.461.9
46.431.160.124.5
421.411.561.728.533.246.514.025.832.6
161.311.851.284.658.215.82.3
529.1177.9129.818.9
100.563.44.4
20.930.217.5
122.017.116.053.367.819.8
1,027.335.128.996.433.654.543.218.514.3
296.249.957.266.478.318.874.039.334.7
181.922.686.564.8
46.331.160.224.6
420.411.662.128.233.946.513.525.733.0
160.811.651.484.357.515.12.3
535.4178.5130.718.6
103.465.54.5
21.630.117.5
122.917.316.153.969.320.4
1,037.334.828.697.233.655.343.818.215.2
297.949.857.168.078.219.075.140.234.9
186.423.289.965.2
419.5
537.5178.2
1,044.4
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)
Industry1987SICCode
34734713479348348334934943496
3535135113519352352335335313532353335353537354354135423544354535463553552355535563563561356235633564356635683573571
3575,8,9358358535935923596,9
363613612361336236213625363363236333634
All employees
Sept.1993
116.672.943.757.534.0
230.924.554.1
1,910.187.428.259.296.972.9
210.078.114.738.735.726.4
307.036.415.3
143.848.423.8148.515.520.722.7
235.330.336.824.832.715.618.9
350.1205.3
52.9178.0120.7296.920.5
233.9
1,518.380.040.439.6154.476.459.3119.929.116.029.7
Oct.1993
116.472.843.656.933.6
232.224.754.0
1,907.687.528.259.398.273.1
209.377.514.738.435.826.5
306.936.315.2
144.148.223.8148.515.720.622.5
234.330.236.624.832.615.418.9
348.1203.4
52.9177.8120.2297.020.5
234.4
1,521.279.840.439.4154.676.659.2121.029.116.029.7
Aug.1994
120.474.645.853.430.6
240.024.855.5
1,942.186.628.458.2100.674.6
205.772.314.936.837.628.3
317.637.715.9
148.950.223.9152.815.020.523.5
240.030.236.526.233.515.320.0
337.3193.8
52.2195.1134.5306.421.3
241.3
1,560.881.340.740.6159.879.560.6123.230.417.928.9
Sept.1994P
121.275.246.053.330.4
241.724.855.7
1,951.387.428.259.2102.776.1
206.072.415.036.937.528.5
319.938.016.0
150.250.623.9153.715.220.623.4
241.930.236.826.333.715.420.1
335.3191.9
53.2196.0135.1308.422.1
242.4
1,568.580.840.540.3160.079.960.5125.931.517.330.1
Oct.1994P
______-
1,950.9_________--__________________-
_
_-__-
1,570.1_________-
Production workers
Sept.1993
90.956.834.132.316.6
167.518.241.2
1,159.654.616.338.370.151.5128.748.08.6
25.320.117.3
215.222.19.5
109.533.416.084.410.410.613.4
148.516.729.012.822.110.912.6
115.353.2
22.0125.589.1
217.316.6
176.2
969.955.028.526.5107.658.735.496.425.312.523.6
Oct.1993
90.856.734.131.716.2
168.218.241.2
1,159.554.616.438.271.351.8129.048.28.6
25.220.217.5
215.222.19.4
109.933.316.084.210.410.413.4
147.816.728.812.922.110.812.5
115.252.7
22.0124.788.3
217.516.5
176.5
975.355.328.826.5108.359.335.497.425.312.523.7
Aug.1994
94.358.136.229.614.1
176.618.342.7
1,205.354.816.538.373.152.9130.047.68.8
24.421.118.8
223.523.210.0
113.135.115.988.19.810.714.4
152.816.828.914.522.610.513.4
117.055.3
19.9139.8101.1226.217.7
182.5
1,005.457.930.627.3112.662.335.9100.826.915.222.9
Sept.1994P
95.058.736.329.413.8
177.718.442.7
1,218.555.816.539.375.654.6131.147.98.9
24.721.219.1
226.223.310.1
114.935.415.989.510.011.014.4
154.316.929.114.622.810.713.5
116.955.0
20.0140.7101.7228.418.5
183.7
1,013.057.230.326.9112.962.536.1103.628.014.624.0
Oct.1994P
______-
1,219.9_________--__
___
____-____
_-
_
_-_--
1,015.5__-_._____-
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 machinery ,Printing 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.
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
PnrloUOOc
36436413643364436453653651366366136736713674367936936913694
3737137113713371437153723721372437283733731373237437637613793792
3838138238223823382538438413842385386387
3939139113933943942,4394939539639613993993
All employees
Sept.1993
171.821.761.319.118.883.860.3
235.0108.0521.8
24.2214.3125.4151.626.165.9
1,734.8837.8321.9
35.5431.8
30.5528.5295.0107.8125.7155.2109.146.129.9
119.886.046.119.0
882.8200.1277.6
41.659.270.9
268.4111.395.238.889.4
8.5
379.751.238.013.0
110.044.465.633.130.218.9
142.258.0
Oct.1993
172.121.761.319.419.284.360.1
234.8108.0522.524.2
214.3125.9152.126.266.1
1,729.7839.6322.4
35.1433.6
30.8522.7292.5105.7124.5155.2109.645.630.1
118.785.245.919.1
880.9199.0276.8
41.959.170.5
268.8111.595.239.088.7
8.6
381.752.839.513.3
110.445.065.433.030.218.9
142.058.2
Aug.1994
178.922.463.719.719.987.661.9
235.4107.3540.024.8
226.0127.2154.626.068.9
1,716.7885.6335.1
37.3463.0
31.3469.8265.7
92.9111.2156.6104.452.232.1
105.975.148.621.5
850.6177.9275.7
43.558.069.4
264.6108.994.737.286.6
8.6
381.751.138.513.5
110.542.967.631.630.118.9
144.959.4
Sept.1994P
180.422.764.219.819.988.161.5
235.9107.1542.5
25.0226.4127.9154.926.168.9
1,735.3903.5346.6
37.4468.8
31.9468.4264.6
92.8111.0158.1105.352.832.8
105.775.049.021.8
848.8176.5276.1
43.758.468.7
264.1108.494.537.186.3
8.7
384.451.939.113.7
111.343.967.431.330.118.9
146.159.5
Oct.1994P
_____
________
-
1,739.6906.7
____
467.9_____-___
-
846.6_______--_
-
387.7__________
-
Production workers'
Sept.1993
124.917.240.914.014.355.538.4
119.459.1
304.716.290.481.9
106.420.251.0
1,107.3641.5229.7
28.3344.6
24.7244.9119.252.972.8
121.083.337.722.233.722.431.015.4
430.963.2
141.827.228.033.6
154.666.460.426.438.3
6.6
272.736.627.110.578.930.948.022.322.613.8
101.839.7
Oct.1993
125.017.141.014.214.656.438.4
119.659.1
306.316.290.982.4
107.020.351.2
1,102.0641.0228.9
27.9345.7
24.7240.8117.850.872.2
120.382.837.522.433.822.430.815.5
430.062.7
141.327.527.933.4
154.366.160.426.538.3
6.9
274.638.028.410.879.331.747.622.123.114.3
101.339.6
Aug.1994
128.616.842.814.814.759.139.7
119.858.7
317.616.498.483.4
109.020.253.5
1,120.6685.0241.1
30.1373.0
25.6214.8105.045.464.4
119.775.943.823.929.818.934.017.8
415.253.7
140.528.627.132.3
152,065.559.624.038.0
7.0
273.035.526.511.278.828.750.121.321.913.5
104.340.4
Sept.1994P
130.217.243.214.914.859.239.2
119.958.5
320.716.598.984.9
109.320.553.5
1,139.7700.6250.8
30.0378.8
26.0215.7105.146.064.6
121.477.244.224.529.819.034.518.1
415.053.5
141.128.727.731.9
151.464.759.924.037.9
7.1
274.436.127.111.079.429.749.721.121.913.5
104.940.4
Oct.1994P
-____---___-__
-
1,144.8702.7
________
-____-
414.3__________
-
277.4__________
-
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 bodies ,Truck 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.
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)
Industry1987SICCode
2020120112013201520220222026203203220332037204204120482052051
2052,3206206120622063206420720820822086209
21211
22221222223224225225122522253225422572262261226222722822812282229
232312322321232523262332331233523372339
All employees
Sept.1993
7,9141,750.2445.8137.989.8
218.1154.140.970.2
302.626.0124.757.0129.820.941.8
212.3150.8
61.5107.86.14.911.655.231.7181.439.395.8184.7
43.928.7
677.784.970.017.222.0
203.127.439.360.426.327.771.732.624.560.396.775.814.051.8
983.542.4273.264.381.742.3
298.731.250.937.4179.2
Oct.1993
7,8701,723.5447.0137.990.0
219.1152.840.969.9
268.524.491.457.7130.321.142.1
213.2151.0
62.2118.27.64.917.158.432.2179.539.494.8181.8
44.028.5
674.784.470.017.222.0
200.627.239.359.625.926.971.732.924.560.596.475.314.251.9
978.642.1
271.663.581.142.3
295.230.350.736.2178.0
Aug.1994
7,9131,751.0447.2133.791.1
222.4154.341.268.4
316.924.0137.559.5124.919.641.2
211.0149.8
61.2100.16.54.68.5
53.631.3180.238.198.6185.1
40.026.4
675.683.969.917.522.7196.824.839.957.124.627.872.733.424.464.395.173.414.552.7
960.539.4
263.460.478.741.3
286.629.846.532.6177.7
Sept.1994P
7,8901,738.4449.3134.691.7
223.0152.040.568.3
301.024.2125.354.8125.819.541.6
213.2150.7
62.5106.07.04.611.554.631.6178.937.596.7180.6
40.626.1
673.983.969.917.422.9195.824.440.256.824.327.572.633.324.564.694.573.014.252.3
962.940.1
263.760.179.341.3
286.428.846.432.8178.4
Oct.1994P
7,8621,701.9
____________--_-
_
_________-
41.0-
673.9_________________-
960.8_________
-
Sept.1993
5,5601,297.5379.8116.269.1194.597.433.036.8
262.422.1111.250.993.114.426.8137.690.2
47.485.24.93.610.444.321.183.324.136.3137.6
33.421.6
576.975.359.214.618.5
175.624.135.352.322.823.358.827.219.548.486.468.312.140.1
824.735.4
236.455.671.737.0
248.825.240.531.2151.9
Production workers
Oct.1993
5,5191,271.1381.1116.669.4195.196.033.136.4
227.720.677.351.793.914.627.0139.090.3
48.794.56.03.515.347.521.582.324.335.9135.1
33.621.5
573.974.959.214.518.5
173.423.935.351.722.322.658.827.419.548.586.167.812.340.0
820.535.1
234.654.671.037.0
246.524.440.730.2151.2
Aug.1994
5,5721,302.5380.3113.170.1197.199.233.936.6
274.720.2122.753.389.013.325.8138.690.9
47.777.75.03.37.2
42.820.785.925.339.2136.4
31.420.8
572.974.159.014.819.1
169.721.535.449.221.723.559.527.619.551.084.766.212.441.0
802.532.5
226.951.568.336.2
237.823.936.926.6150.4
Sept.1994P
5,5581,290.6382.2113.970.8197.596.532.936.4
258.620.5110.248.790.113.526.1140.591.5
49.083.75.13.310.144.221.284.824.737.8133.0
32.120.5
572.274.259.314.719.3
168.821.235.648.921.423.359.627.519.751.584.065.712.240.8
806.833.5
227.351.468.836.1
239.023.136.826.9152.2
Oct.1994P
5,5301,255.0
_____________
_-
_
_________-
32.7-
571.8_________________-
805.9_________
-
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 rugs ,Yarn 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.
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
53.842.011.848.520.241.9
204.021.451.051.7
690.5170.351.2
213.1123.616.748.7
242.546.137.523.7
1,510.9451.9127.8117.781.136.678.7
536.1349.4166.646.368.656.2
1,078.4134.286.5
165.980.557.1
266.0217.9158.244.643.470.258.0
149.226.0
120.455.691.3
152.6111.428.7
908.280.910.160.523.8
103.1653.6
53.942.011.947.420.041.9
205.321.551.851.7
686.4168.950.4
212.1123.116.548.6
241.945.937.823.8
1,512.3451.7128.1116.580.436.178.1
538.2350.0167.946.769.256.0
1,072.0133.085.6
163.679.456.0
265.0216.9157.544.643.269.757.6
149.025.9
120.455.191.2
151.7111.128.2
908.180.910.260.323.7
102.5654.2
53.441.212.245.318.840.4
210.622.051.554.9
687.3167.649.9
213.5126.316.248.2
243.446.638.423.2
1,532.0454.4130.7123.184.838.379.0
548.2356.3171.544.570.154.9
1,056.9130.483.9
159.179.951.8
265.7216.8154.442.344.967.258.8
143.625.9
115.155.489.5
152.9111.728.8
940.577.211.663.925.3
105.6682.2
53.941.512.445.319.040.2
212.322.351.955.7
683.4165.349.2
214.4127.216.148.3
241.645.838.523.4
1,529.5453.3130.0121.383.437.978.2
551.1358.0172.644.768.954.7
1,050.3130.283.8
158.078.952.0
263.8215.0153.141.844.766.657.8
142.426.4
113.455.489.6
151.2110.328.5
944.275.610.864.125.3
106.0687.7
684.1
1,534.9
1,048.7
150.8
951.9
44.536.18.4
41.017.234.2
167.017.143.541.9
521.1129.739.3
166.993.614.639.4
174.922.228.118.4
833.4157.743.861.832.329.537.7
388.3251.8120.132.952.241.1
574.558.038.9
106.550.536.7
117.397.798.526.925.346.330.779.214.962.331.652.7
100.171.522.2
703.459.38.4
45.518.578.1
512.1
44.736.2
8.540.016.834.2
167.817.044.341.7
517.7128.838.8
165.793.114.439.1
174.422.028.418.5
832.7157.643.960.331.329.036.8
389.4251.7121.233.352.640.7
573.157.638.5
105.849.836.7
117.898.398.027.025.245.830.279.414.762.731.652.7
99.171.021.7
702.359.08.3
45.418.577.4
512.2
44.535.88.7
38.315.932.9
171.817.343.844.6
522.4129.038.4
167.395.514.339.4
177.822.629.118.0
840.9156.943.165.434.231.237.4
396.3255.9123.831.654.239.7
575.255.936.5
106.251.136.9
122.0102.296.224.526.745.031.079.214.962.331.653.1
99.971.322.1
731.955.69.7
48.919.881.1
536.6
44.835.9
8.938.416.132.8
173.517.644.245.3
518.4127.638.0
167.495.714.239.4
175.521.929.018.3
838.7156.443.163.232.231.036.9
398.4257.1124.731.753.239.4
573.256.236.7
106.050.237.6
121.1101.595.024.226.244.630.379.415.362.231.753.5
98.570.321.7
736.254.29.1
49.320.081.9
541.7
518.6
839.7
574.4
97.8
742.8
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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 railroads2
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.
3131131431433144316317
404011
41411412413415
42421422
44444449
454514512458
46
474724724473
48481481348348324833484
49491492493495
505015012501350250215023
118.415.663.731.521.610.612.4
5,833
3,636
251.7219.2
383.2172.129.422.9
129.5
1,718.41,586.2
128.0
168.912.8
108.1
739.3608.5499.6
99.3
18.2
356.2185.8150.9136.2
2,197
1,254.6865.8802.9229.1112.8116.3135.5
942.0426.0160.7189.2135.5
5,976
3,410455.4112.7272.1139.664.075.6
118.415.463.931.421.810.412.5
5,855
3,662
248.5216.4
392.2172.329.922.5
137.8
1,742.11,604.5
133.3
166.712.7
107.1
735.7605.4494.5
99.6
18.1
358.4187.5151.9136.6
2,193
1,254.6864.4800.8229.7113.2116.5136.3
938.5424.9159.5188.2135.4
5,985
3,411455.2112.9271.7140.364.675.7
115.914.861.129.020.210.712.6
5,855
3,664
243.5211.5
332.0178.530.022.673.7
1,793.41,657.9
130.9
171.011.8
111.1
736.4605.5486.5
98.8
18.0
369.8194.8158.3141.2
2,191
1,266.2867.7793.3233.8113.0120.8140.6
924.6417.3161.0181.6133.7
6,111
3,485473.7118.4282.2149.268.281.0
115.314.860.328.619.910.912.5
5,918
3,742
248.0216.2
403.2179.130.123.1
141.8
1,799.71,658.1
136.9
171.211.7
113.0
732.6602.1481.3
98.5
17.5
369.4192.9157.0142.3
2,176
1,261.3861.4786.2235.6114.0121.6140.7
914.8411.9158.3180.3133.8
6,110
3,473472.7118.1281.9149.768.581.2
114.3
5,928
3,755
248.0
411.3
1,805.4
168.9
730.1
17.9
373.6
2,173
1,261.2
94.712.952.524.418.77.78.9
4,885
351.1156.6
20.4
1,490.41,380.0
106.7
95.7
911.9
6,126
3,482
14.1
279.6146.1117.6105.1
973.2653.2606.7191.5
114.4
742.5333.5125.1143.3116.6
4,824
2,725367.9
111.4
94.812.852.724.318.97.68.9
4,911
360.7156.9
20.0
1,511.31,395.3
112.2
94.7
14.0
282.0148.2119.2105.4
971.2650.6603.7191.8
114.9
740.1332.3124.2143.0116.7
4,834
2,726367.4
111.9
92.412.250.222.617.18.28.7
4,897
299.7161.3
20.2
1,558.41,444.2
110.1
98.8
14.0
292.9155.7125.6109.5
974.1647.5592.2195.8
118.4
730.4326.0124.9139.9115.2
4,940
2,792385.6
118.5
91.412.249.422.216.78.38.6
4,958
370.7162.3
20.9
1,564.81,445.2
115.4
100.8
90.9
4,961
13.5
292.3154.0124.5110.3
970.9642.9587.1197.2
118.5
720.6320.8122.5138.5115.0
4,935
2,780384.0
118.4
4,947
70
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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 petroieumElectrical 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.
503503150395045044504550475055065063506450655075072507450850825083508450855095093
51511511251251351451415147514851551651751715172518518151825195191
52521523525526
53531533539
54541542545546
55551
221.4115.535.3
742.8183.6265.7159.6132.9443.0193.948.3
200.8268.1
93.1107.6715.672.6
110.9288.9135.9291.5107.2
2,566246.4135.0198.4206.4860.5276.2
59.8103.8114.7139.9165.867.997.9
150.198.152.0
484.1155.9
19,899
795.8467.765.9
154.180.1
2,437.12,101.3
151.2184.6
3,214.72,867.2
47.816.8
166.7
2,055.9927.5
223.1116.335.9
738.2184.2259.6160.0132.7443.3193.848.3
201.2268.8
94.0107.4714.672.7
110.1289.3134.9295.0108.1
2,574248.1136.9198.5206.6861.8274.9
60.399.5
120.3138.9166.668.098.6
148.497.550.9
485.1156.4
19,849
797.1465.967.2
155.080.4
2,479.72,141.0
153.0185.7
3,229.22,875.8
47.816.7
170.1
2,057.6932.9
237.1124.038.4
734.5184.7246.3168.6137.7448.7198.347.4
203.0278.7
96.5111.6720.374.3
113.7289.0136.5305.3114.1
2,626263.0146.0199.4206.5882.9283.261.799.0
114.4135.9173.271.0
102.2154.6102.452.2
495.7160.8
20,598
866.4516.169.9
160.586.4
2,438.52,116.2
134.5187.8
3,264.02,887.0
52.919.5
177.2
2,191.0987.9
236.8124.038.3
730.4184.9244.6168.3137.8448.4197.647.3
203.5277.6
96.5111.2713.773.8
111.3287.7134.6306.3114.6
2,637262.6145.9199.2208.1887.4284.1
62.2104.0117.1135.6175.072.1
102.9153.2100.752.5
498.3163.5
20,570
853.9508.769.0
158.584.3
2,463.92,142.6
133.4187.9
3,248.62,871.8
52.819.5
178.1
2,188.1991.5
2,644
20,551
854.1
2,518.3
3,262.3
2,192.3
180.7
600.7
131.0106.2345.0
214.9
563.6
234.6
2,099199.6
165.1162.9726.0
93.9105.3132.9
122.6
390.6
17,526
658.5394.2
51.5126.664.3
2,276.51,977.9
136.2162.4
2,929.52,628.4
148.9
1,711.7773.6
182.1
596.0
130.9105.8345.8
215.7
563.0
238.2
2,108201.3
165.3163.6727.1
98.8104.1134.0
121.1
392.5
17,472
659.8392.5
52.6127.464.8
2,318.52,016.7
138.0163.8
2,943.32,636.5
152.1
1,711.7777.9
195.1
587.6
137.9110.8351.4
225.4
571.1
246.7
2,148215.9
163.1162.6740.6
93.0102.9140.5
126.2
402.8
18,126
723.1439.3
54.8132.470.0
2,276.21,991.5
119.2165.5
2,969.92,645.1
156.8
1,827.4824.8
194.9
583.3
137.4110.7351.3
224.6
565.7
247.5
2,155215.1
163.1163.7744.2
95.8102.6141.7
124.3
404.8
18,084
711.6432.8
53.6130.568.3
2,299.52,015.7
118.0165.8
2,950.92,626.3
157.7
1,822.9828.0
18,050
71
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
exchanges ....Security 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
350.2620.9
6.4
1,136.285.1
356.3309.5214.7
830.2453.6272.573.3
303.3129.166.4
6,999.6
2,429.9586.5113.187.3
857.9164.1107.770.5
129.7194.462.9
276.9157.271.195.9
412.3133.261.6
217.5
6,747
3,227
2,070.41,497.3
615.8881.5305.3162.7142.6144.0
455.8126.981.2
229.3
475.0363.1
23.288.7
225.3103.8
350.7618.6
6.2
1,140.185.8
361.0311.7210.3
842.5460.5276.473.7
308.3130.968.1
6,827.0
2,475.6587.7113.487.9
877.5169.3103.571.3
136.3196.662.8
292.4171.571.499.8
416.9136.861.8
218.3
6,730
3,228
2,063.41,493.0
615.6877.4301.6160.3141.3144.6
460.9127.581.1
233.8
478.3366.2
23.388.8
225.7103.5
376.0640.6
5.3
1,148.783.8
347.3330.7212.4
896.0495.3298.272.2
328.5142.569.0
7,311.5
2,481.5588.8115.191.8
890.7182.1102.173.3
134.7202.0
57.8267.1145.372.596.4
431.6136.562.0
233.1
6,875
3,277
2,054.41,504.1
630.4873.7272.8145.8127.0148.3
475.2134.879.4
240.9
511.8392.0
27.192.7
235.3104.5
375.6635.0
5.1
1,138.183.4
347.0327.2209.4
903.8500.5302.071.4
331.9143.568.8
7,264.6
2,509.3586.3115.792.8
907.5183.6112.172.8
137.3199.758.4
275.6154.673.097.0
434.4139.762.3
232.4
6,801
3,245
2,034.11,489.7
623.7866.0267.3142.7124.6147.9
470.0135.779.3
234.8
507.8388.4
27.392.1
233.5104.0
1,148.8
923.0
7,105.5
2,546.7
277.7535.1
5.4
929.568.7
287.7265.2167.3
673.2367.5
59.5246.2105.753.6
6,335.5
2,011.6489.0
72.4710.5
6,770
3,235
2,031.9
461.7
507.6
233.5
232.9
79.5335.7
48.3174.9
4,906
1,495.31,065.8
440.4625.4
114.6
343.793.4
57.7
277.8532.1
5.3
935.069.0
292.0268.1164.3
683.1373.4
59.8249.9107.154.7
6,164.2
2,056.0490.5
72.8730.6
248.4
82.3339.4
48.8175.0
4,893
1,488.31,060.9
439.9621.0
115.1
349.393.9
57.9
300.4552.9
4.5
939.567.7
280.1282.0167.3
724.4401.8
58.7263.9117.352.4
6,608.3
2,057.0490.6
76.2739.9
225.4
79.1352.3
49.6187.4
5,022
1,483.51,071.9
454.1617.8
117.8
350.898.4
61.0
299.7547.0
4.3
926.867.3
278.9277.3164.2
731.0406.0
58.0267.0118.152.3
6,559.6
2,081.3488.7
76.6754.3
233.1
79.7355.1
50.0186.5
4,949
1,464.61,057.0
447.3609.7
117.3
344.198.6
60.5
4,913
72
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
2,182
1,520.3559.0280.5219.5540.580.8
661.8
1,338573.1617.8112.7
30,681
551.5147.4360.3
1,647.71,595.6
1,105.9426.0
81.0384.387.2
108.3
5,955.6229.5155.2114.7254.4
58.1836.3
78.9757.4219.1
33.039.2
146.92,052.4
275.71,776.7
914.4191.7147.6112.2213.549.441.1
1,334.8492.441.075.6
966.9176.1109.362.7
548.8189.4231.4
2,181
1,520.3559.5278.0216.7539.583.5
660.9
1,321564.2610.7110.7
30,825
544.0147.6352.3
1,598.21,552.5
1,110.5428.6
84.9385.187.4
105.3
6,083.1230.1156.0115.4261.9
58.7838.5
77.4761.1218.8
32.939.5
146.42,149.9
285.01,864.9
920.6193.5148.7113.2214.149.540.8
1,347.9494.341.178.4
966.6175.1108.662.1
549.1188.6232.7
2,185
1,517.9545.1287.7225.8539.084.4
667.4
1,413597.7660.5120.5
32,253
610.8153.7411.0
1,738.91,647.3
1,098.2433.9
77.8381.9
89.697.2
6,616.5243.6163.6115.3283.764.3
888.282.5
805.7244.5
37.844.1
162.62,462.2
332.42,129.8
999.3209.6155.6123.2232.4
57.742.8
1,379.7507.842.570.6
1,064.7199.2124.762.1
604.2208.5254.0
2,172
1,507.3540.9287.2225.8535.781.8
664.8
1,384586.2647.6117.4
32,276
592.1150.9395.3
1,661.81,605.2
1,112.2435.1
82.0383.489.3
104.5
6,671.6244.3163.6114.4288.664.5
885.582.8
802.7244.4
38.444.3
161.72,496.2
339.42,156.81,007.5
212.2158.5123.7233.8
58.542.7
1,390.7514.243.373.5
1,070.1200.4125.162.7
606.4209.4255.5
2,170
1,504.5 1,053.2354.5228.0182.7354.6
665.8
1,365
32,411
583.9
1,591.2
1,112.6
6,769.9
2,569.6
1,078.2
26,791
462.2123.2303.2
1,408.0
377.8
343.2
90.6
5,292.9168.0
47.6750.562.5
688.0175.225.733.1
116.4
1,724.2741.2158.5
83.2
38.234.3
1,171.5460.1
35.0
795.0141.888.355.7
444.8154.9188.7
1,057.3357.6225.7180.2355.3
26,932
456.1123.4296.7
1,366.6
379.6
343.2
87.6
5,417.6168.0
48.0753.061.2
691.8175.425.633.5
116.3
1,810.9747.7162.0
84.2
38.333.9
1,183.8461.6
35.0
793.9140.987.855.0
444.7154.5189.5
1,073.0357.9233.2187.0361.0
28,193
517.9128.2352.0
1,458.3
384.4
340.8
80.3
5,902.7178.2
52.8798.365.2
733.1196.129.837.4
128.9
2,070.5808.6176.3
93.1
43.635.8
1,209.4473.8
36.4
880.0163.3103.655.3
491.7172.9206.4
1,064.6356.0232.5186.7358.2
28,199
499.6125.8336.3
1,415.0
385.3
342.8
86.7
5,947.7178.8
53.0793.465.0
728.4196.230.437.6
128.2
2,097.2814.8178.3
93.9
44.935.6
1,216.5477.636.9
884.2164.5103.856.1
492.7173.4207.3
28,329
73
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
7547542
76762
78781783784
7979379979917997
808018028048041,2805805180528059806806280638069807808
81
82821822824
83832833835836839
84
86861862863864
87871871187128713872
Sept.1993
179.3102.7
366.9111.4
413.0155.8108.3133.4
1,331.289.4
956.7128.1323.5
8,828.71,524.2
565.4363.7156.4
1,594.81,140.8
224.1229.9
3,787.33,486.7
94.9205.7193.4478.1
927.9
1,665.0488.5973.4
73.6
2,104.8560.8277.6495.9577.8192.7
78.7
2,018.8109.353.1
135.1423.2
2,543.9767.9605.3112.849.8
502.9
All
Oct.1993
180.3103.7
370.1112.3
415.4162.6104.2132.9
1,183.491.8
817.4125.8278.4
8,854.41,525.5
567.9368.6158.1
1,601.11,145.9
224.0231.2
3,788.43,487.9
95.2205.3194.0486.2
930.5
1,811.6503.1
1,102.675.0
2,127.2566.7277.0508.8581.5193.2
78.3
2,026.6109.853.4
136.1429.9
2,550.9768.1604.6112.850.7
510.4
employees
Aug.1994
199.2113.3
386.9119.0
506.0217.6125.4146.8
1,460.674.5
1,102.3129.1381.5
9,093.91,579.7
595.9393.2169.0
1,647.41,181.0
231.0235.4
3,797.83,499.8
93.5204.5205.1540.4
950.6
1,494.0459.0824.4
76.7
2,253.5593.0324.3502.5630.2203.5
85.7
2,088.5108.454.5
130.1480.4
2,628.8808.0629.7122.855.5
515.4
Sept.1994P
200.6115.2
385.1118.4
493.8223.3112.3141.8
1,330.388.5
961.3130.4331.0
9,083.11,571.5
595.4396.5169.2
1,645.31,180.4
230.1234.8
3,787.63,491.1
93.4203.1204.4547.8
938.9
1,725.1505.2
1,014.776.9
2,283.0589.1300.0558.9628.3206.7
81.8
2,047.8106.954.6
135.1439.5
2,624.7806.1630.5121.254.4
516.5
Oct.1994P
-
388.3-
505.6__-
1,195.3
__-
9,109.9-_______
3,789.3--__-
943.9
1,879.6__
-
2,306.7-___-
80.7
2,057.1___
-
2,633.2____
-
Production workers
Sept.1993
152.789.8
298.5-
341.2125.5
_108.9
1,172.079.7
850.3114.9284.2
7,825.21,243.6
494.6299.3
_1,439.0
_201.7
_3,468.3
--__
442.9
744.7
___-
1,821.7485.4231.6436.7505.1162.9
-
_
_37.4_
-
1,940.4631.0502.387.341.4
361.5
Oct.1993
153.390.5
300.7-
342.7130.8
_108.5
1,030.782.1
717.1113.0242.2
7,846.21,242.9
496.3304.1
_1,444.3
_201.4
_3,468.5
--__
450.6
746.6
___
-
1,841.6491.5231.1448.6508.1162.3
-
_
_37.5_
-
1,948.8633.1503.587.542.1
367.9
Aug.1994
169.799.4
313.5-
421.9179.8
_120.1
1,292.565.7
984.5115.8339.7
8,046.41,287.6
519.7323.5
_1,484.4
_207.1
_3,472.5
--
_498.6
763.8
___
-
1,955.4514.7276.7440.5548.7174.8
-
_
_38.7_
-
2,022.8666.9524.6
95.946.4
374.9
Sept.1994P
170.9101.1
311.9-
409.1184.3
_115.4
1,169.179.1
846.1117.1291.2
8,033.71,279.1
519.4326.4
_1,482.5
_206.3
_3,460.9
--__
505.9
750.5
___-
1,978.1510.5253.2492.6546.6175.2
-
_
-38.9_-
2,014.7663.4523.8
94.245.4
373.7
Oct.1994P
-
_
-
_
__-
___-
_
-_______---__-
___
-
_
-___-
-
_
___
-
_
____
-
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.
74
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Production workers1
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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, 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
573.5241.6105.5143.9699.6264.2230.3
31.0
40.8
18,620
2,901
2,835.0855.3786.6
1,193.138.227.8
85.248.8
30.4394.8232.8
4,454413.2
1,784.7
1,763.02,669.2
11,265450.7682.3
6,186.9
3,561.35,077.6
575.5241.1107.5144.3696.9261.0232.1
31.7
40.6
19,133
2,886
2,820.1847.5792.4
1,180.237.827.7
83.547.4
30.1390.2232.0
4,616412.6
1,965.1
1,749.62,650.5
11,631449.5682.5
6,616.1
3,514.45,014.9
584.6239.5112.7149.4720.8266.4239.333.4
41.0
17,882
2,875
2,811.7827.2816.2
1,168.335.627.6
75.341.3
28.8386.3228.9
4,332404.6
1,592.2
1,824.92,739.4
10,675456.2692.3
5,326.8
3,792.75,348.2
577.8238.2113.8143.2724.3269.9240.7
32.9
40.8
18,875
2,859
74.340.6
28.5383.9227.8
4,541403.1
1,828.3
1,810.42,712.3
11,475453.2691.4
6,328.5
3,612.55,146.2
40.8
19,407
2,845
433.4172.383.6
111.6514.5189.0165.821.8
32.3
434.8171.785.7
111.7513.0186.0168.822.2
32.4
447.4175.489.0
116.1533.6190.2179.723.2
32.7
443.4174.790.8
111.1534.2191.8180.522.5
32.3
4,716
2,020.2
2,695.4
11,846
6,767.2
5,078.4
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$50,000,000 or more.
3 Excludes nonoffice commissioned real estate sales agents.4 Prepared by the Office of Personnel Management. Data relate to
civilian employment only and exclude the Central Intelligence Agency and
the National Security Agency.5 Includes rural mail carriers.- Data not available.p = preliminary.NOTE: Establishment survey estimates are currently projected from
March 1993 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1993 forward are subject torevision.
75
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 July1993
Aug.1993
June1994
July1994
Aug.1994
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
52,760
43,374
6,501
90
531
5,880
2,67311414410391
289415636350363169
3,20755613
3207451716693412430563
46,259
1,680
1,820
10,471
4,290
18,612
9,3861,2172,1206,049
52,785
43,500
6,559
89
532
5,938
2,68311614710492292411639350361170
3,25558314
3227581716703412530766
46,226
1,676
1,812
10,525
4,290
18,638
9,2851,2152,1135,957
55,065
44,688
6,569
87
552
5,930
2,72912215310496303427654350351169
3,20153711
3197391686823362532165
48,496
1,717
1,858
10,777
4,325
19,442
10,3771,2032,1906,984
54,124
44,638
6,522
87
557
5,878
2,69412215110395298420646341348169
3,18456011
3167121676823352531562
47,602
1,694
1,857
10,787
4,329
19,449
9,4861,2022,1546,130
54,271
44,838
6,623
87
560
5,976
2,72712415310497303424655350347172
3,24958613
3207331676833362632065
47,648
1,699
1,862
10,841
4,321
19,492
9,4331,2002,1526,081
NOTE: Establishment survey estimates are currently projected fromMarch 1993 benchmark levels. When more recent benchmark data are
introduced, all unadjusted data from April 1993 forward are subject torevision.
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
(In thousands)
State and area
Total
Sept.1993
1,717.4419.9162.7196.4142.869.6
264.5120.9
1,589.01,066.9
276.7
1,003.4117.487.0
271.934.7
11,982.4170.0259.1
3,697.9124.9862.3
1,116.4730.4553.4107.7938.9907.5787.0140.8145.3159.3142.3223.3
1,681.1135.0913.3
1,533.0175.183.2
583.1238.5184.180.3
350.7269.9
666.82,318.2
5,569.9136.5542.6128.8101.0441.9149.5165.3899.4656.4137.0206.6132.5894.7362.5
Aug.1994
1,726.3425.6158.6199.2145.569.5
275.6124.5
1,618.11,087.7
282.3
1,026.0122.388.8
277.234.6
11,915.8167.7258.2
3,641.3128.9855.2
1,110.0731.0561.2108.5925.9897.7783.0139.9144.0162.0140.4222.5
1,722.7135.7924.9
1,522.7173.483.4
580.7228.8183.480.2
361.9275.2
660.12,310.9
5,684.6137.6555.5133.2100.6447.1152.9167.3914.2680.0137.3210.7132.7910.5363.9
Sept.1994^
1,737.1427.3160.1199.8144.770.8
269.7123.9
1,661.31,115.9
291.0
1,041.3123.989.7
279.635.2
11,966.3170.3259.3
3,664.1128.1856.8
1,115.4743.8563.0107.4929.4900.7780.5141.2147.3161.6140.6223.3
1,728.6138.9926.8
1,537.6173.483.8
590.5232.4182.579.9
359.7275.3
664.52,329.2
5,780.6140.2564.1135.9105.9452.0156.8169.6922.4690.3139.5213.3138.0928.2371.0
Mining
Sept.1993
10.83.0
(1)(1)
(1 )
2.6
10.53.2
12.14.52.0
3.7(1)
.9(1)0
34.411.4
.67.4
(2)
3.2.9
1.3.5.3.5.7.2
1.0.7.1.4
2.2
16.0(1)
8.5
1.0(2)(1)
( )
(1 )
( 1 )
( 2 )
.1
.2
.1
.8
6.1(2)
.2(2)
(2 )(2)
2.6(2)
.4(2)(2)
(2)
(2)
.4(2)
Aug.1994
10.12.9
(1)
( 1 )
(1 )
2.6
10.33.1
12.34.52.1
3.6(1)
1.0(1)
( 1 )
32.210.3
.66.9
(2)
3.1.9
1.4.5.3.5.6.2
1.0.6.1.5
2.1
15.4(1)
8.0
1.0(2)
9(1)(2)
.1
.2
.1
.9
6.5(2)
.2f2\
I2\
2.8(2)
.4(2)(2)
(2)
(2)
.5(2)
Sept.1994P
9.93.0
9(1)2.5
9.93.0
12.34.52.1
3.5(1)
1.0(1)(1)
32.010.4
.66.8
(2)
3.0.9
1.4.5.3.5.6.2
1.0.6.1.5
2.1
15.5(1)
7.9
1.0(2)(1)(1)(1)(1)
(2 )
.1
.2
.1
.9
6.5(2)
.2(2)
(2 )(2)
2.7(2)
.4(2)i2\
/2 \
(2)
.5(2)
Construction
Sept.1993
80.021.26.1
14.47.04.0
14.77.8
93.463.916.3
38.84.53.1
11.8.9
462.48.8
13.2100.1
6.841.044.741.127.63.6
40.427.127.6
5.38.16.38.99.6
89.65.4
48.7
50.35.33.0
19.88.44.92.9
18.814.4
8.5106.3
290.57.4
31.310.73.4
23.87.28.0
39.333.3
8.89.75.3
41.421.2
Aug.1994
82.122.56.0
14.27.14.2
16.28.4
106.373.018.9
42.95.03.3
12.81.0
471.48.1
13.599.86.1
42.145.440.228.73.6
40.227.428.1
5.38.86.29.5
10.5
92.15.7
46.1
51.65.43.3
23.09.25.13.1
19.815.3
8.9110.5
306.17.3
32.111.93.6
24.87.38.3
40.337.39.99.55.3
41.322.0
Sept.1994P
81.922.56.0
14.17.04.2
15.78.3
106.773.418.8
43.15.03.3
12.81.0
469.68.2
13.399.0
5.942.145.540.528.53.6
39.527.528.4
5.58.46.19.3
10.5
91.35.7
45.7
50.75.33.2
23.09.05.03.2
19.615.0
8.9109.8
308.57.2
31.412.13.5
25.07.48.3
40.137.610.19.75.4
41.621.9
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-LongmontDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenStamford-NorwalkWaterbury
DelawareWilmington-Newark
District of ColumbiaWashington PMSA
FloridaDaytona BeachFort LauderdaleFort Myers-Cape CoralGainesvilleJacksonvilleLakeland-Winter HavenMelboume-Titusville-Palm BayMiamiOrlandoPensacolaSarasota-BradentonTallahasseeTampa-St. Petersburg-Clearwater ....West Palm Beach-Boca Raton
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
Manufacturing
Sept.1993
385.951.637.928.217.910.5
18.42.1
174.6133.924.2
244.832.525.733.3
7.2
1,807.410.532.2
657.827.8
102.1207.9
85.437.19.2
114.974.6
231.217.921.125.814.730.7
188.729.789.9
293.643.720.997.942.429.817.2
65.249.9
13.892.4
482.712.841.0
5.65.5
35.018.728.381.551.811.417.74.6
87.430.6
Aug.1994
387.351.938.228.017.810.8
22.82.4
183.5139.228.0
255.234.0'27.734.1
7.5
1,778.910.233.1
632.230.9
100.3206.4
86.038.09.8
109.274.2
228.617.620.729.314.929.2
191.330.489.3
280.442.320.493.139.327.817.4
64.347.4
14.195.2
481.113.440.7
5.65.4
34.619.828.881.452.211.318.94.6
88.129.7
Sept.1994P
388.652.438.228.117.710.8
18.62.2
183.1138.628.1
256.634.127.934.7
7.5
1,770.910.132.1
633.828.4
100.5206.1
86.437.79.9
109.074.8
228.317.521.327.214.429.2
191.330.689.0
284.342.620.595.139.928.317.7
64.047.2
14.295.8
483.313.541.1
5.65.3
35.120.029.081.552.311.418.74.7
88.629.9
Transportation and\
Sept.1993
85.630.13.2
11.36.02.2
24.513.1
78.154.911.5
58.18.05.1
17.12.1
604.68.3
13.4198.0
5.855.937.336.924.3
5.235.476.523.0
4.85.8
10.35.9
10.1
104.43.4
74.1
70.47.32.9
24.116.18.43.4
14.913.0
21.2104.8
285.23.8
25.55.71.9
32.47.74.8
72.437.4
6.05.23.2
41.914.3
Dublic utilities
Aug.1994
85.529.63.3
10.96.02.2
25.113.2
79.456.011.4
58.38.45.5
17.82.0
595.58.3
13.2195.3
5.653.238.837.324.4
5.235.773.422.4
4.55.8
10.95.9
10.0
104.93.5
72.8
67.06.92.7
23.615.78.63.4
14.812.9
21.3 ,105.4
286.93.7
26.45.92.0
32.68.04.7
73.238.1
5.95.13.1
42.713.6
Sept.1994P
85.629.53.3
11.16.02.2
24.713.1
79.156.011.3
59.08.35.4
17.92.0
597.08.3
13.2195.8
5.753.038.837.924.5
5.235.873.522.6
4.55.8
10.75.9
10.3
104.73.5
72.4
69.06.92.9
24.815.78.63.4
15.113.2
21.0104.6
287.53.7
26.45.82.0
32.88.14.7
72.938.0
5.95.13.1
42.713.6
Wholesale and retail trade
Sept.1993
378.3102.330.450.032.415.3
51.326.6
385.9257.364.0
223.230.317.863.7
7.3
2,779.641.162.6
817.030.7
202.6273.6192.5126.128.6
221.3189.2155.334.436.338.436.153.3
407.128.7
220.9
328.237.921.1
118.848.442.715.6
76.954.0
52.7433.2
1,438.538.7
153.034.920.8
114.741.736.7
235.1161.433.648.229.1
226.195.3
Aug.1994
386.4104.231.052.533.115.6
54.928.7
396.4266.1
65.8
230.732.517.666.4
7.2
2,764.240.562.1
803.231.6
203.1270.4193.9127.428.7
215.3187.5152.534.736.538.235.354.2
430.629.6
230.5
325.737.020.7
120.847.341.515.9
81.556.0
52.9439.4
1,475.839.3
158.137.121.2
115.742.838.7
237.5166.834.949.629.6
229.196.4
Sept.1994P
386.1104.130.952.232.815.6
53.928.5
400.5269.266.5
231.632.817.666.6
7.2
2,766.840.862.4
803.431.7
202.5270.0195.2127.528.6
216.1187.8152.534.836.438.135.454.3
430.330.1
229.5
326.537.2-20.8
122.647.341.415.8
79.655.7
53.2438.1
1,480.039.2
158.837.421.9
115.543.238.6
237.6166.734.649.630.2
229.497.7
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-LongmontDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenStamford-NorwalkWaterbury
DelawareWilmington-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.
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
Finance, insurance,and real estate
Sept.1993
76.030.6
4.58.48.32.2
11.46.9
100.780.212.7
40.84.12.8
16.31.3
786.25.8
14.2248.9
4.858.391.931.940.8
6.461.1
101.631.0
7.39.98.55.4
12.3
107.05.1
71.1
138.810.83.9
79.814.919.74.1
35.530.6
30.6131.9
357.26.2
40.68.24.4
43.77.55.4
63.938.3
5.210.65.2
63.125.3
Aug.1994
77.731.64.58.48.42.3
11.87.1
103.082.512.5
41.94.42.9
16.61.4
767.85.8
14.0241.1
4.757.088.431.140.96.4
58.5100.330.27.09.98.35.3
11.8
110.05.1
73.0
137.611.14.0
76.714.920.34.2
37.432.2
30.4131.4
367.96.1
41.08.44.5
44.57.75.8
64.040.2
5.210.45.4
66.625.4
Sept.1994P
77.231.44.48.48.32.3
11.67.0
102.782.412.4
41.74.42.9
16.61.3
764.05.8
14.0240.5
4.756.288.231.240.8
6.458.199.929.76.89.88.25.3
11.8
108.95.0
72.4
135.710.94.0
75.514.520.14.1
37.632.3
30.0130.8
367.66.1
40.98.54.4
44.57.75.8
63.840.1
5.110.55.4
67.025.4
Sept.1993
365.6114.741.652.835.410.9
58.931.8
452.2310.3
82.4
223.321.722.375.6
7.9
3,468.939.864.0
1,148.528.0
235.0334.1187.7140.628.1
289.0310.3232.442.438.735.936.564.1
472.637.8
261.7
448.151.521.5
154.577.062.024.4
90.972.7
254.4819.3
1,824.042.8
174.942.128.7
129.940.057.6
277.7255.1
43.491.231.5
312.8128.7
Services
Aug.1994
369.6118.138.554.336.410.8
62.533.0
467.1321.0
82.8
233.222.422.576.68.2
3,514.041.564.3
1,154.228.4
236.9340.3191.8142.828.2
296.1311.4235.9
42.640.036.137.064.3
495.139.0
272.7
462.552.222.6
162.272.663.723.9
94.976.0
254.6829.4
1,923.844.4
184.744.030.2
135.341.957.7
290.3272.8
44.294.732.1
329.8132.7
Sept.1994?
370.8117.638.754.736.310.9
60.632.6
472.1324.984.1
233.322.422.276.08.2
3,515.041.363.2
1,161.929.0
237.0339.1194.1142.328.4
291.6311.4233.3
42.639.636.937.364.6
487.838.5
271.8
462.551.822.3
162.375.162.323.0
94.175.3
259.1830.2
1,929.944.9
185.844.230.5
134.942.157.8
290.8273.9
44.294.732.4
333.0133.2
Sept.1993
335.266.439.031.335.821.9
74.829.4
292.0161.963.6
170.716.39.3
54.18.0
2,038.944.358.9
520.221.0
164.2126.0153.6156.426.3
176.3127.586.327.724.734.034.441.0
295.724.9'
138.4
202.618.69.9
88.231.316.612.7
48.435.1
285.5629.5
885.724.876.121.536.362.024.124.4
129.178.728.323.953.4
121.647.1
Government
Aug.1994
327.664.837.130.936.721.0
72.028.6
270.1145.460.8
160.215.68.3
52.97.3
1,991.843.057.4
508.621.6
159.5119.4149.3158.526.3
170.4122.985.127.221.732.932.040.4
283.322.4
132.5
196.918.59.7
81.329.816.412.3
49.135.2
277.8598.7
836.523.472.320.233.759.222.623.2
127.172.125.622.452.4
112.444.1
Sept.1994?
337.066.838.631.236.622.3
74.729.2
304.8166.967.7
172.516.99.4
55.08.0
2,051.045.460.5
522.922.7
162.5126.8157.1161.225.0
178.8125.285.528.525.434.332.540.5
298.825.5
138.1
207.918.710.187.230.916.812.7
49.636.4
278.0619.0
917.325.679.522.238.363.825.625.3
135.381.227.924.956.6
125.449.3
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-LongmontDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenStamford-NorwalkWaterbury
DelawareWilmington-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.
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
Total
Sept.1993
3,142.751.859.9
1,654.4189.2100.4133.4120.5
527.4404.5
450.9162.2
5,365.170.391.4
3,734.8166.554.138.9
152.3155.6106.1
2,624.760.6
107.8142.3243.7245.0734.4
50.586.559.6
123.266.6
1,292.1100.5245.0
48.558.960.265.6
1,148.141.095.7
251.2
1,545.9239.6498.8
38.8
1,650.749.9
257.059.8
136.472.861.8
573.1155.4
533.239.7
127.1
Aug.1994
3,260.652.360.6
1,736.5188.9102.4134.2121.4
526.9402.8
463.7168.9
5,425.069.488.2
3,802.0170.852.039.9
148.1160.9113.7
2,633.555.8
111.8139.5249.2240.4746.149.584.556.5
122.462.2
1,302.5100.5250.7
48.459.959.864.1
1,151.538.896.3
246.1
1,565.8238.9508.040.1
1,688.749.9
258.861.2
139.773.962.4
575.1160.3
536.040.5
125.7
Sept.1994P
3,280.853.159.7
1,744.6191.6103.0135.5122.0
521.7399.4
472.5170.6
5,450.371.990.7
3,812.8172.051.839.2
149.0161.3108.8
2,671.356.5
112.4140.8252.4246.4752.4
50.488.960.4
126.664.5
1,320.8102.7250.9
47.760.260.466.0
1,166.840.895.6
250.7
1,586.0245.6509.0
39.8
1,711.450.1
264.061.7
139.674.163.0
579.2160.6
538.341.4
126.7
Mining
Sept.1993
7.6(2)(1)
1.4.5
(1)1.2
0
(1)(1)
2.30
14.4(1)(1)
2.2(1)(1)(1)O(1)(1)
6.8(1)(1)
1.4(1)(1)
.8(1)(1)(1)
'O.4
2.2(1)(1)(1)(1)(1)(1)
8.8(1)(1)
1.6
26.9.2.6.6
45.5.2.9
5.211.2
1.4.3
14.13.0
.2(2)(2)
Aug.1994
7.5(2)0
1.4.5
(1)1.1
(1)
(1)(1)
2.4(1)
15.7(1)(1)
2.2(1)(1)(1)0(1)(1)
6.3(1)(1)
1.5(1)(1)
.5(1)(1)(1)(1)
.4
2.4(1)(1)(1)(1)(1)(1)
8.9(1)(1)
1.7
28.7.2.6.5
46.7.2.9
5.111.3
1.4.3
14.13.1
.1(2)(2)
Sept.1994P
7.5(2)(1)
1.4.5
01.2
(1)
(1)(1)
2.4(1)
15.7(1)(1)
2.2(1)0(1)(1)(1)(1)
6.3(1)(1)
1.5(1)(1)
.4(1)(1)(1)(1)
.4
2.4(1)(1)(1)(1)(1)(1)
8.8(1)(1)
1.6
28.9.2.6.5
46.4.2.9
5.111.2
1.4.3
14.23.1
.1(2)(2)
Constructior
Sept.1993
134.82.62.0
71.711.04.14.26.0
31.923.7
28.111.5
213.42.53.0
144.98.63.12.07.56.54.8
125.42.83.59.0
12.414.437.6
1.33.32.66.93.8
54.95.4
10.31.92.12.72.5
51.11.84.3
13.3
73.911.725.6
2.4
98.43.1
30.13.06.87.43.2
25.68.3
23.31.75.8
Aug.1994
144.02.71.9
82.311.14.34.96.0
29.922.1
31.613.0
219.32.43.1
151.48.73.02.27.96.34.7
133.03.23.89.4
11.815.439.1
1.33.52.47.33.3
56.25.8
11.61.72.32.72.7
55.51.84.1
13.0
73.712.925.9
2.4
105.53.7
30.93.07.47.33.1
24.58.3
24.11.95.7
Sept.1994P
145.12.81.8
83.911.04.34.86.0
29.821.9
31.513.0
220.02.33.1
151.48.63.01.87.96.44.8
132.53.23.79.4
11.615.838.7
1.23.42.37.23.4
55.15.8
11.41.72.12.62.6
54.51.84.0
12.8
73.512.625.6
2.4
107.23.6
32.53.07.27.23.2
24.48.0
24.11.95.7
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort WayneGaryIndianapolisKokomoLafayetteMuncieSouth BendTerre Haute
IowaCedar RapidsDes MoinesDubuqueIowa CitySoux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyLexingtonLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHoumaLafayetteLake CharlesMonroeNew OrleansShreveport-Bossier City
MaineLewiston-AuburnPortland
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—Continued
(In thousands)
State and area
Manufacturing
Sept.1993
558.97.4
11.1197.344.520.518.617.9
19.013.9
71.329.0
938.97.2
10.3641.6
28.312.86.9
31.447.8
4.1
643.68.7
55.832.269.253.0
124.220.418.711.121.613.2
237.820.925.112.64.4
12.114.1
182.24.59.3
57.3
293.938.287.5
6.1
187.53.6
23.05.5
15.311.0
8.147.520.5
92.78.5
13.9
Aug.1994
572.87.4
11.1201.0
44.420.018.617.3
17.713.0
73.331.8
932.58.2
10.0640.9
29.19.96.8
24.350.84.2
656.09.1
58.432.270.653.4
125.720.819.711.222.113.0
245.321.424.613.3
4.4
12.314.0
181.44.49.6
55.7
301.839.189.3
6.4
187.03.4
23.25.6
16.111.28.0
48.720.8
93.68.6
13.5
Sept.1994P
573.77.5
11.1201.3
44.720.219.017.3
17.412.9
73.231.7
934.28.2
10.1641.9
29.09.96.8
24.350.8
4.2
659.29.0
58.732.671.253.1
126.220.919.711.222.113.2
245.521.524.913.3
4.4
12.314.2
182.94.49.5
56.5
303.439.389.0
6.3
188.23.4
23.05.6
16.011.3
8.048.820.7
93.38.8
14.1
Transportation andpublic utilities
Sept.1993
204.92.91.7
140.65.43.55.39.3
41.033.6
21.57.5
314.32.92.5
227.47.85.21.97.96.75.1
134.71.62.96.9
15.617.142.9
1.32.34.75.42.7
57.45.9
12.01.9
1.83.41.9
67.21.26.8
11.3
82.68.9
32.92.0
105.52.6
11.75.88.14.63.3
43.38.3
22.61.45.8
Aug.1994
208.43.11.7
140.65.63.45.39.7
39.532.3
21.27.7
311.52.92.6
226.38.45.11.98.16.65.1
137.51.83.16.6
15.416.542.3
1.32.35.25.52.7
57.85.9
12.21.91.83.52.1
69.11.37.0
11.4
85.18.8
34.12.1
108.32.5
11.95.98.34.43.4
42.68.2
21.91.56.0
>
Sept.1994P
207.13.21.7
139.05.63.45.39.7
39.832.5
21.88.0
316.82.92.6
229.88.45.11.98.26.85.2
138.21.93.16.5
15.216.542.5
1.32.35.45.4
2.5
58.15.8
12.41.91.93.52.1
69.71.27.0
11.3
85.48.9
34.22.0
108.52.5
11.85.98.34.33.4
42.38.3
21.61.55.8
Wholesale and retail trade
Sept.1993
782.513.015.2
442.339.422.431.230.2
131.899.3
112.238.9
1,252.615.919.9
870.646.612.19.7
36.233.521.8
608.113.719.534.754.557.4
189.610.416.912.430.418.6
323.122.864.111.111.415.216.1
276.69.8
20.757.2
362.654.8
120.09.8
382.411.155.914.734.616.514.8
140.036.4
136.310.337.1
Aug.1994
801.212.914.2
456.939.823.230.830.2
130.198.1
118.239.9
1,288.115.919.4
902.849.012.39.9
37.534.625.2
621.113.220.434.258.357.6
202.89.8
16.812.531.818.2
330.223.065.511.511.215.516.0
278.29.5
20.957.7
372.054.8
123.710.5
394.511.057.915.336.016.315.7
141.237.5
142.610.538.5
Sept.1994P
802.613.214.4
457.639.723.331.030.1
129.597.9
118.639.7
1,287.416.020.0
902.948.712.39.9
37.634.423.0
621.114.220.334.158.058.2
203.09.9
17.212.532.118.3
328.823.065.211.311.615.416.2
279.19.9
20.857.8
372.955.7
124.110.4
395.011.058.015.436.116.515.7
141.137.4
139.410.538.4
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.
81
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.1993
167.52.02.0
110.46.57.18.34.6
39.432.4
23.210.9
385.312.03.4
301.47.42.31.88.57.07.9
128.92.12.96.0
13.09.4
54.91.43.51.86.42.3
74.45.3
34.31.61.62.72.8
58.31.76.2
11.0
62.69.5
28.51.7
77.92.1
14.82.35.62.64.3
29.96.6
25.91.9
12.2
Aug.1994
168.02.02.0
111.86.87.48.14.1
39.432.2
24.611.6
390.812.63.4
305.37.72.41.78.47.08.1
131.82.33.05.8
13.59.5
56.11.43.81.86.22.3
76.75.6
36.01.61.72.72.7
59.21.86.3
11.0
63.09.2
29.41.6
79.52.2
14.72.25.72.64.4
30.26.6
26.22.0
12.1
Sept.1994P
167.21.92.0
111.36.87.38.14.1
39.232.0
24.611.7
389.512.53.4
303.97.82.41.78.47.08.1
129.82.33.05.8
13.39.3
55.11.43.81.86.12.4
76.15.6
35.61.61.72.72.7
58.61.86.3
10.9
62.59.1
29.21.6
79.22.1
14.62.25.62.64.3
30.06.7
26.02.0
12.1
Sept.1993
748.212.211.6
459.842.422.728.833.1
162.5119.9
101.037.5
1,495.016.220.1
1,089.642.113.110.143.538.629.9
574.912.116.637.354.259.1
175.08.6
17.413.839.414.7
322.528.266.815.611.517.416.0
273.59.1
25.266.9
366.062.7
135.79.5
412.914.363.611.432.817.015.9
169.541.5
139.011.336.1
Services
Aug.1994
811.812.411.3
507.943.224.730.534.6
163.5120.1
104.638.1
1,528.217.020.5
1,123.644.113.710.846.041.233.3
580.712.017.437.257.357.9
177.38.4
18.713.837.513.5
324.228.268.515.012.316.916.1
280.98.2
25.066.4
374.962.8
138.79.8
430.914.465.112.133.218.316.1
170.945.2
145.111.935.2
Sept.1994P
819.612.311.6
512.643.324.830.534.8
163.7120.7
105.638.3
1,524.816.820.3
1,124.143.313.410.645.240.430.8
582.811.916.837.057.658.5
175.98.3
17.813.940.613.3
330.229.167.714.912.117.216.2
281.78.6
25.066.8
377.765.1
138.39.7
436.814.565.212.033.218.216.1
174.245.2
140.812.134.9
Sept.1993
538.311.716.3
230.939.520.135.819.4
101.881.7
91.326.9
751.213.632.2
457.125.7
5.56.5
17.315.532.5
402.019.66.6
14.824.834.6
109.57.1
24.413.213.110.9
219.812.032.4
3.826.1
6.712.2
230.412.923.232.6
277.453.668.0
6.7
340.612.957.011.922.012.311.9
103.230.8
93.24.6
16.2
Government
Aug.1994
546.911.818.4
234.637.519.434.919.5
106.885.0
87.826.8
738.910.429.2
449.523.8
5.66.6
15.914.433.1
367.114.25.7
12.622.330.1
102.36.5
19.79.6
12.08.8
209.710.632.3
3.426.2
6.210.5
218.311.823.429.2
266.651.166.3
6.8
336.312.554.212.021.712.411.4
102.930.6
82.44.1
14.7
Sept.1994P
558.012.217.1
237.540.019.735.620.0
102.381.5
94.828.2
761.913.231.2
456.626.2
5.76.5
17.415.532.7
401.414.06.8
13.925.535.0
110.67.4
24.713.313.111.0
224.611.933.7
3.026.4
6.712.0
231.513.123.033.0
281.754.768.0
6.9
350.112.858.012.522.012.612.0
104.231.2
93.04.6
15.7
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.
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 area
Total
Sept.1993
2,117.11,100.3
416.4772.1
2,872.11,738.7
82.048.8
133.7101.761.040.8
238.7206.5
4,017.2243.8
67.41,888.3
164.9472.1
56.0197.0215.8166.0
2,259.5101.2
1,460.670.577.3
1,012.5198.1
2,436.7813.5
1,197.4140.7
335.8
771.5130.9346.2
683.4461.5153.3
507.585.880.0
102.9
3,510.3177.2607.0428.7233.5545.2337.1908.0192.656.3
634.2292.945.968.4
7,741.7427.7113.1
Aug.1994
2,115.71,100.8
415.2773.5
2,929.31,779.3
82.948.7
135.3101.561.542.0
235.8207.6
4,092.2241.469.6
1,928.2166.5478.3
56.5195.8211.1169.4
2,305.5101.7
1,491.469.976.6
1,034.0202.2
2,473.8828.2
1,212.4142.8
342.5
783.2130.1350.8
715.4488.7156.2
515.085.880.0
104.4
3,582.0187.4611.3438.6236.5557.4354.0921.8194.256.6
658.6304.545.270.8
7,820.3428.7109.5
Sept.1994P
2,131.71,110.3
414.4784.8
2,948.21,786.2
83.749.5
136.7103.362.241.1
242.2210.1
4,155.8248.269.8
1,948.5170.1486.5
57.7201.6218.6171.1
2,322.8101.2
1,496.470.079.0
1,039.9204.5
2,512.4835.1
1,230.5147.1
346.6
789.6131.4352.3
722.9493.4158.5
518.787.181.7
104.3
3,570.8180.3613.5442.5237.7557.6346.4920.7193.757.6
667.2309.747.370.3
7,836.7428.9111.4
Mining
Sept.1993
1.2.2
(2)
(2 )
1.3.4
/2\
l2\
/2\
(1 )
.1
.1
.2
9.1(1)(1)
1.0(1)(1)(1)
( 1 )
(1 )
(1 )
7.65.0
(2)
0
5.2(2)
4.5(1)
(1 )
(1 )
5.7
1.50
12.71.7
.7
.5(1)(1)
(1 )
1.9(1)
(1 )
(1)
( )
.60
.7(1)
.3
16.2(1)(1)(1)
5.4.5
0
Aug.1994
1.2.2
(2)
( 2 )
1.2.4
(2)
(2)
(2)
(1 )(2)
.1
.1
.3
9.20
1.0(1)(1)
0
(1)(1)
8.65.4
(2)
(1 )
(1 )
5.2(2)
4.3(1)00
5.7
1.5(1)
(1 )
13.11.8.7
.5(1)(1)
(1 )
1.90)0
0.5
(1)
.8(1)
.3
16.9(1)
n
5.8.6
(1)
Sept.1994P
1.2.2
(2)
(2 )
1.3.5
(2)
(2)
(2 )
(1 )(2)
.1
.1
.3
9.0(1)(1)
1.0(1)(1)
(1)
(1)
(1 )
0
8.55.3
(2)
(1 )
(1)
5.3(2)
4.3(1)(1)(1)
5.7
1.4(1)(1)
13.01.8.7
.5(1)(1)
(1 )
2.0(1)( )(1)(1)
.6(1)
.8(1)
.3
16.8(1)(1)(1)
5.8.6
(1)
Construction
Sept.1993
124.558.812.852.2
91.851.62.61.35.04.22.01.47.16.3
147.87.02.0
62.85.6
20.01.77.06.77.9
89.84.1
53.52.63.8
43.18.2
102.235.757.26.1
16.5
33.85.6
16.5
49.237.8
8.2
18.93.52.22.8
120.55.8
21.318.04.6
17.315.629.94.41.8
37.718.62.63.7
257.716.74.6
Aug.1994
126.660.813.253.9
95.151.42.61.35.04.32.01.47.37.0
155.97.22.2
66.66.1
22.31.97.56.98.5
93.24.1
55.12.64.1
42.98.5
114.741.166.16.4
17.2
35.55.9
16.8
50.938.2
9.1
19.13.72.22.9
130.95.9
23.220.7
5.118.417.531.2
4.82.0
43.821.4
2.93.9
273.517.34.8
Sept.1994P
125.860.713.253.5
94.551.32.61.34.94.32.01.37.37.0
155.87.02.1
66.05.9
21.61.97.57.08.4
91.54.1
54.62.64.1
42.68.8
114.041.765.9
6.2
17.3
35.05.8
16.5
50.538.0
9.0
18.73.62.22.8
129.06.0
23.120.9
4.918.616.830.24.71.9
43.921.7
2.93.9
273.517.04.8
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C
MassachusettsBostonBrocktonFitchburg-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
New YorkAlbany-Schenectady-TroyBinghamton
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
Manufacturing
Sept.1993
179.5108.138.333.9
452.0224.8
11.014.634.131.015.87.9
40.839.3
903.952.519.9
412.345.1
135.612.249.428.340.7
411.68.3
267.012.013.9
254.621.4
412.2105.8196.821.0
23.4
104.615.534.7
30.616.310.6
97.211.326.217.4
521.57.1
115.958.334.996.921.1
144.223.714.3
44.326.82.82.1
985.744.226.4
Aug.1994
178.1105.937.633.8
447.4221.6
11.014.835.030.815.87.4
39.939.4
945.153.221.1
433.146.5
141.612.850.629.641.4
425.78.5
271.811.414.5
259.922.2
414.5106.4195.821.9
23.0
106.116.334.5
32.117.211.2
98.411.226.317.5
512.17.1
112.957.735.394.121.1
141.621.914.4
46.228.22.72.2
956.543.524.3
Sept.1994P
178.1105.937.734.6
448.6221.8
11.214.735.130.716.17.4
40.439.6
954.155.021.2
439.947.0
140.913.150.730.041.3
424.28.3
270.511.314.4
259.722.3
418.1106.5196.221.7
23.0
106.116.234.6
32.017.211.2
98.411.325.917.8
513.57.2
113.757.735.493.920.7
143.422.414.6
46.928.6
2.92.2
957.143.624.3
Transportation andF
Sept.1993
99.653.321.231.3
126.679.94.61.94.15.22.41.28.79.5
158.25.32.9
85.14.6
17.03.66.16.36.7
107.56.4
77.52.02.8
46.113.4
156.565.378.3
8.3
20.3
47.07.6
24.2
35.723.210.5
18.55.42.23.6
236.97.3
28.320.229.344.018.477.26.62.2
29.212.8
1.71.2
404.416.24.5
jublic utilities
Aug.1994
95.751.020.132.0
124.780.4
4.41.83.85.12.21.18.09.9
161.55.43.0
86.34.2
17.43.66.46.36.5
107.76.1
76.82.02.9
46.315.4
153.764.480.9
8.3
20.6
47.87.4
24.8
37.124.510.8
17.46.02.03.7
235.07.4
28.019.928.744.117.778.26.32.0
29.113.1
1.51.2
395.315.74.1
Sept.1994P
97.151.920.231,9
127.781.54.61.93.95.42.31.18.6
10.1
161.75.52.9
86.54.3
17.33.66.36.46.4
111.76.2
78.42.02.8
45.715.7
156.864.881.3
8.4
20.5
48.17.4
25.0
37.124.610.7
18.46.12.13.7
240.47.5
28.821.029.345.618.179.16.52.2
29.813.51.71.2
405.316.14.1
Wholesale and retail trade
Sept.1993
502.8252.667.2
185.2
650.8373.3
26.111.034.120.714.79.9
54.046.0
937.247.614.6
448.439.6
114.313.842.847.442.0
542.126.3
346.014.423.5
211.147.4
579.3199.6284.0
39.9
89.7
193.527.487.4
135.692.934.4
130.021.020.226.6
821.339.0
170.7113.1
54.6128.391.8
178.431.110.4
149.169.9
9.814.2
1,555.286.224.7
Aug.1994
511.3254.567.8
190.7
677.7386.926.910.534.420.915.010.254.246.2
969.548.215.2
452.840.3
115.313.943.247.743.6
557.826.6
355.414.923.9
218.148.8
589.2203.5289.1
41.6
93.6
198.327.488.8
140.997.335.6
133.920.820.027.7
844.545.2
170.6117.055.0
130.398.1
182.331.410.8
157.874.010.215.2
1,586.987.424.8
Sept.1994P
508.1256.167.5
190.4
676.9387.9
26.810.734.821.314.910.155.146.4
965.348.115.0
453.040.0
115.214.043.447.843.4
556.626.5
354.114.823.9
216.848.5
591.1203.3287.2
42.4
92.3
197.927.888.5
141.697.735.7
132.021.220.026.6
842.040.1
172.9117.6
55.4131.994.7
182.631.010.8
156.473.910.315.0
1,586.287.424.8
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C
MassachusettsBostonBrocktonFitchburg-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
New YorkAlbany-Schenectady-TroyBinghamton
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
Finance, insurance,and real estate
Sept.1993
130.173.938.447.9
199.5144.7
3.31.74.93.42.01.9
13.915.3
193.39.42.6
108.36.3
19.31.8
10.2.12.3
6.3
137.43.4
108.61.92.4
39.014.5
142.262.573.96.2
15.0
50.58.7
29.7
31.623.1
7.2
29.97.53.26.8
229.95.8
36.022.619.943.019.268.210.53.4
27.915.5
1.92.8
729.727.1
4.1
Aug.1994
129.473.337.747.3
203.8149.2
3.51.84.93.42.02.0
13.615.7
198.59.62.6
109.36.5
19.71.9
10.712.56.3
139.63.5
111.11.92.4
39.514.6
145.163.574.96.5
15.3
50.78.6
29.8
32.223.6
7.4
29.36.63.16.5
235.05.8
38.422.220.844.018.769.510.63.4
29.616.4
1.93.0
741.127.34.1
Sept.1994P
128.673.237.747.2
201.4147.9
3.51.84.93.52.02.0
13.415.7
195.39.52.6
107.96.4
19.51.9
10.512.46.3
139.13.5
110.01.92.4
38.914.5
143.663.174.06.5
15.0
50.28.5
29.7
32.323.6
7.4
29.16.63.06.5
232.15.7
37.921.920.743.418.668.810.43.4
29.516.3
1.93.0
735.427.0
4.1
Sept.1993
664.7347.9149.3253.9
967.0651.0
19.511.734.723.814.813.671.159.0
1,033.756.716.2
541.240.6
114.812.747.348.841.3
623.827.5
414.030.718.8
200.251.5
662.0221.4358.841.5
90.4
190.830.6
104.9
299.2211.961.7
140.827.319.224.3
1,029.884.0
167.8123.351.4
140.9109.7272.463.611.4
168.589.8
9.719.8
2,423.0128.027.9
Services
Aug.1994
676.9352.8149.2255.8
1,015.2682.9
20.312.436.825.215.415.272.559.9
1,075.457.216.7
565.142.3
116.713.147.749.342.2
646.927.6
426.230.618.4
214.851.4
696.7227.8373.943.0
93.5
195.530.8
106.9
320.7231.562.6
148.128.120.227.0
1,075.588.1
170.3128.153.3
152.2'118.5282.566.811.2
179.793.9
9.920.8
2,485.7128.928.2
Sept.1994P
674.8353.2149.7256.1
1,015.8681.5
20.512.536.925.415.414.373.760.7
1,078.357.616.9
565.242.4
119.113.348.749.442.6
648.327.6
428.530.319.3
216.351.4
700.5227.2375.244.2
92.5
196.630.7
107.5
321.1232.362.3
147.228.021.426.5
1,066.685.4
169.4127.654.8
149.8116.3282.766.311.6
179.294.5
9.920.4
2,493.8127.328.1
Sept.1993
414.7205.5
89.2167.7
383.1213.0
14.96.6
16.813.49.34.8
43.030.9
634.165.3
9.1229.323.151.010.134.165.9 .21.1
339.720.2
193.56.9
12.1
213.241.2
377.8123.2148.417.7
74.8
149.835.548.8
88.854.620.0
71.79.86.8
21.4
548.528.267.073.238.874.261.3
137.052.712.5
161.359.517.424.6
1,380.6108.820.9
Governmeni
Aug.1994
396.5202.3
89.6160.0
364.2206.5
14.26.1
15.411.89.14.6
40.229.2
577.060.7
8.8213.9
20.645.6
9.329.658.820.8
326.019.9
194.56.5
10.4
207.340.9
355.6121.5131.715.1
73.6
147.833.749.2
88.454.618.8
68.39.46.2
19.1
547.127.967.973.038.373.862.4
135.752.412.5
155.557.516.124.5
1,375.5108.1
19.1
Sept.1994P
418.0209.188.4
171.1
382.0213.8
14.56.6
16.212.79.54.8
43.630.3
636.465.5
9.0228.924.152.810.034.565.522.7
342.919.7
199.87.1
12.1
214.642.9
384.0128.5150.717.7
80.3
154.335.050.5
95.358.221.5
74.410.37.1
20.4
545.228.467.775.837.273.861.2
133.152.412.8
164.761.217.724.6
1,379.5110.021.2
MarylandBaltimore PMSABaltimore CitySuburban Maryland-D.C
MassachusettsBostonBrocktonFitchburg-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
New YorkAlbany-Schenectady-TroyBinghamton
See footnotes at end of table.
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
Total
Sept.1993
532.1103.240.348.7
1,057.53,753.53,266.0
114.2515.8
96.9331.1125.1372.0
3,287.098.2
655.9570.9521.7
289.944.585.746.9
4,950.4297.3170.2775.2
1,054.9727.6446.5294.1230.2
1,241.223.035.9
447.8333.2
1,333.7120.959.2
776.6121.9
5,120.4252.6
56.1125.4320.383.6
196.12,113.4
679.21,039.2
153.6264.342.262.950.3
154.9
434.2482.4
Aug.1994
532.9100.440.353.6
1,055.53,783.73,294.0
116.6515.4
97.8330.0127.3372.9
3,323.499.0
666.3574.1523.3
293.044.784.246.0
4,954.0296.0172.8782.3
1,060.3729.1443.6290.6230.2
1,256.722.937.9
447.9334.7
1,361.5121.959.2
793.2121.6
5,162,2254.7
58.0125.6323.484.2
198.82,128.6
678.21,040.2
154.3267.343.560.450.5
155.2
437.0485.0
Sept.1994P
538.5102.340.450.6
1,059.83,777.43,289.3
116.7521.5
97.2333.2127.1372.5
3,359.998.8
670.2581.7527.2
297.044.986.247.6
4,998.1301.4173.2786.0
1,062.3732.4450.2296.6234.3
1,272.322.938.0
454.1338.1
1,373.2124.360.9
796.7122.3
5,189.2255.6
58.1127.2321.4
84.6198.9
2,144.4686.2
1,045.6155.8269.244.263.451.0
157.3
438.5488.3
Mining
Sept.1993
(1)
(1)(1)O(1)
0.3(1)
.90(1)(1)(1)
3.5(1)(1)O0
4.1O(1)(1)
14.2.4.7.6.9.7.6.2.7
35.31.0.1
8.09.4
1.9.2.1
1.0.2
22.00)0(1)(1)V)
A(1)0
4.3(1)
.7(1)(1)0)
.5
.2
.2
Aug.1994
(1)(1)(1)(1)(1)(1)
0.3(1)
.9(1)(1)(1)(1)
3.4(1)(1)(1)(1)
3.9(1)(1)(1)
14.4.4.7.7
1.0.7.6.2.7
35.01.0.1
8.29.2
1.7.2.1.9.2
20.00)(1)(1)(1)(1)
.4(1)(1)
3.4(1)
.6(1)(1)O
.5
.2
.2
Sept.1994P
(1)(1)(1)(1)0(1)
0.3(1)
.9(1)(1)(1)(1)
3.3(1)(1)(1)(1)
4.0(1)(1)(1)
14.4.4.7.7
1.0.7.6.2.6
35.01.0.1
7.99.0
1.6.2.1.8.2
19.6(1)(1)0(1)(1)
.4(1)O
3.4(1)
.6(1)0O
.5
.2
.2
Constructior
Sept.1993
21.54.31.42.1
42.7109.387.9
3.918.03.2
15.73.8
16.7
158.44.7
32.724.424.0
13.92.65.22.2
202.111.17.9
35.641.029.416.112.29.6
42.8.7
1.415.012.3
60.45.42.5
37.55.3
212.010.02.64.5
13.35.9
11.380.510.952.76.59.41.43.12.07.7
13.014.2
Aug.1994
21.94.11.52.1
42.5112.991.64.2
18.63.3
16.54.0
16.6
167.85.1
33.824.424.3
15.52.76.22.8
201.411.48.5
35.741.028.915.910.99.9
48.4.7
1.516.212.9
66.66.52.6
40.95.3
220.310.62.74.9
13.65.6
11.588.311.451.66.9
10.11.52.92.28.2
13.414.6
Sept.1994P
21.94.11.42.1
42.8113.992.64.1
18.43.3
16.04.0
16.6
167.35.0
33.924.524.0
14.92.75.92.6
199.611.28.3
35.240.728.515.810.79.7
48.6.8
1.616.112.7
68.26.62.5
40.75.3
216.010.22.64.8
13.35.3
11.387.811.351.36.69.91.42.92.28.0
12.413.2
New York-ContinuedBuffalo-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-SpringfieldToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton—Wilkes-Barre—HazletonSharonState CollegeWilliamsportYork
Rhode IslandProvidence-Fall River-Warwick
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 areaSept.1993
90.016.48.29.5
122.1356.3296.9
13.3129.3
13.049.621.244.2
852.521.5
146.9167.479.6
19.92.36.53.3
1,054.962.444.5
144.0218.6
92.494.356.654.6
168.21.53.7
48.854.2
219.819.38.8
125.520.0
941.861.9
9.934.848.012.355.7
315.266.3
130.943.759.49.38.3
13.646.2
87.5110.6
Manufacturing
Aug.1994
89.614.78.59.6
116.9347.6289.5
13.5124.8
12.649.521.243.6
856.921.2
149.0169.779.7
21.12.66.32.9
1,060.462.145.9
142.5218.793.295.658.352.6
169.41.73.7
49.853.8
227.719.69.3
130.021.6
943.861.810.135.147.913.056.2
308.364.4
132.243.660.410.38.9
13.546.2
86.6110.5
Sept.1994P
90.114.78.49.6
116.8349.4291.1
13.5124.7
12.649.120.843.7
857.921.1
149.0169.979.9
21.52.56.53.1
1,065.561.746.3
142.5219.993.095.658.354.1
169.81.73.7
49.954.0
225.019.69.2
129.319.5
940.661.410.334.947.412.956.0
308.765.3
131.443.960.410.38.9
13.646.7
86.8111.1
Transportation and
Sept.1993
26.13.81.51.5.
48.9228.0201.4
6.516.95.6
20.14.2
20.3
157.44.8
52.629.923.7
18.23.34.72.3
215.414.26.1
40.242.431.317.913.18.7
71.62.11.8
21.726.8
66.54.63.1
44.03.5
267.412.65.14.4
20.75.16.8
102.837.864.6
6.715.51.81.91.88.9
14.617.0
Dublic utilities
Aug.1994
25.03.81.51.6
46.2223.0197.8
6.115.85.3
19.44.0
19.2
157.15.0
53.030.223.8
18.43.34.72.3
214.013.86.0
40.742.631.417.712.98.5
71.82.01.7
21.526.6
67.34.93.0
43.93.5
262.412.15.14.6
20.44.36.6
100.338.162.5
6.215.0
1.81.81.88.2
14.116.4
Sept.1994P
25.83.81.51.5
47.9226.7200.8
6.516.35.6
19.54.2
19.6
156.45.0
52.930.123.6
18.63.34.72.4
214.113.75.9
40.942.831.617.513.18.5
71.42.01.7
21.426.5
67.94.93.1
44.43.6
269.712.25.14.7
20.45.07.0
102.237.862.6
6.615.61.91.81.88.7
14.617.1
Wholesale and retail
Sept.1993
131.120.910.311.6
273.4638.6531.429.4
111.221.177.525.782.1
739.522.6
156.1127.7104.9
75.411.325.012.4
1,181.971.441.9
196.5245.3187.9102.472.760.1
290.96.78.4
106.577.0
334.130.517.8
193.626.4
1,144.752.214.927.568.119.948.2
463.6116.8251.2
35.063.410.812.311.837.4
96.6109.0
Aug.1994
133.521.310.113.7
278.5639.1531.830.4
113.321.679.726.781.6
749.923.0
159.0128.3105.2
76.711.724.112.4
1,197.671.442.6
200.2245.3188.9104.073.061.6
299.86.88.6
108.476.9
343.330.317.4
200.426.2
1,170.052.715.127.768.520.250.2
470.0117.5256.8
36.065.311.111.411.937.6
98.2109.9
trade
Sept.1994P
134.021.310.112.6
277.2643.6536.230.3
112.221.579.626.881.8
750.022.8
159.2128.8106.2
76.011.424.312.6
1,191.371.742.4
200.1243.3187.9103.872.961.7
299.36.78.5
108.776.2
341.429.918.7
198.326.6
1,164.152.515.427.267.820.149.0
469.6117.5256.0
35.765.311.012.011.937.3
97.3109.0
New York-ContinuedBuffalo-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-SpringfieldToledoYoungstown-Warren
OklahomaEnid ,LawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton—Wilkes-Barre—HazletonSharonState CollegeWilliamsportYork
Rhode IslandProvidence-Fall River-Warwick
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
(In thousands)
State and area
Finance, insurance,and real estate
Sept.1993
28.64.51.41.7
80.2505.2471.5
6.124.0
5.319.78.1
27.4
140.13.1
41.228.124.5
13.61.95.31.6
260.211.96.7
46.265.760.417.211.210.4
61.61.11.6
26.217.9
94.06.92.9
64.66.7
304.314.01.85.7
22.34.29.2
156.057.760.3
9.011.9
1.52.02.25.0
25.426.8
Aug.1994
28.64.61.51.7
80.5515.9483.5
6.424.7
5.219.88.2
26.2
146.93.2
43.528.425.0
14.12.05.41.6
263.712.56.7
46.968.159.417.511.510.1
62.51.11.8
26.018.1
98.47.42.8
65.76.8
311.014.62.05.8
23.54.39.3
153.857.062.4
9.512.2
1.52.22.25.2
25.327.0
Sept.1994P
28.44.51.51.7
79.9512.8480.5
6.224.2
5.119.68.2
26.2
146.43.1
43.628.324.9
14.02.05.41.6
261.712.46.6
46.767.358.917.311.310.0
62.21.11.7
26.317.9
97.77.42.8
65.36.7
307.314.62.05.7
23.34.39.0
151.356.462.3
9.412.2
1.52.22.25.1
25.026.8
Sept.1993
149.731.710.413.2
323.91,277.11,116.1
29.7143.629.092.432.0
126.5
701.326.8
150.5131.7152.4
78.013.723.812.7
1,299.080.843.2
211.3303.5197.0124.183.159.4
305.76.07.6
121.795.2
334.231.214.5
207.727.5
1,537.375.214.434.080.223.447.3
704.7262.9354.6
35.070.812.111.912.834.8
137.6143.6
Services
Aug.1994
151.431.910.716.0
331.01,295.01,129.3
31.0147.530.589.633.2
129.3
732.628.2
152.8134.3155.7
80.113.424.112.7
1,315.085.143.8
218.1309.9200.7123.484.460.1
316.15.78.3
122.898.0
340.232.015.0
211.927.2
1,564.976.714.734.180.723.948.7
722.7262.0359.8
35.970.512.212.012.935.3
140.6145.9
Sept.1994?
152.032.610.613.7
328.91,304.01,140.5
30.1149.229.392.233.6
128.7
730.726.8
153.2134.7155.7
80.713.324.512.9
1,320.184.343.6
216.9309.7201.7125.884.360.9
316.75.68.4
122.0100.2
344.132.514.8
215.428.0
1,571.177.414.535.180.323.949.2
728.7267.6360.6
35.671.212.811.913.136.4
141.6148.5
Sept.1993
85.221.7
7.09.1
166.3638.9560.5
25.471.919.756.130.254.8
534.314.775.961.7
112.6
66.89.4
15.212.4
722.745.119.2
100.8137.5128.573.945.026.7
265.13.9
11.399.940.4
222.822.8
9.5102.732.3
690.926.7
7.414.567.712.817.2
290.6126.8120.6
17.733.2
5.323.4
6.114.4
59.361.0
Government
Aug.1994
83.020.0
6.68.8
159.7650.2570.324.969.719.455.529.956.6
508.813.375.258.8
109.6
63.29.0
13.411.3
687.539.318.697.5
133.7125.968.939.426.7
253.73.9
12.295.039.2
216.321.0
9.099.530.8
669.826.2
8.313.468.812.915.9
285.2127.8111.5
16.233.2
5.121.2
6.014.0
58.660.5
Sept.1994P
86.321.4
7.09.5
166.4627.0547.3
25.975.719.957.229.756.0
547.915.078.465.4
112.9
67.39.7
14.912.4
731.446.019.4
103.0137.6130.173.845.828.8
269.34.0
12.3101.841.6
227.323.2
9.7102.532.4
700.827.3
8.214.868.913.117.0
296.1130.3118.0
18.034.0
5.323.7
6.214.6
60.662.4
New York-ContinuedBuffalo-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-SpringfieldToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPhiladelphia CityPittsburghReadingScranton—Wilkes-Barre—HazletonSharonState CollegeWilliamsportYork
Rhode IslandProvidence-Fall River-Warwick
See footnotes at end of table.
88
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.1993
1,582.9205.9247.4421.1
322.643.488.4
2,364.8209.8185.3302.3492.6547.4
7,543.450.483.3
457.3149.571.087.161.9
140.11,484.9
225.4618.4
84.21,661.9
83.252.879.5
103.0114.091.439.2
576.337.347.966.832.386.753.7
826.9111.6557.1
259.228.788.1
2,946.734.272.844.494.6
611.3870.1478.1130.3
2,287.91,157.9
658.5120.3110.064.259.4
Aug.1994
1,585.8202.8248.0416.9
334.745.490.3
2,398.5210.8181.6298.8488.2558.5
7,739.949.786.3
468.5150.471.289.559.9
142.61,548.9
226.8634.9
85.01,688.6
86.956.080.1
104.1118.091.639.7
584.537.047.668.232.788.053.7
863.1114.8584.8
255.628.188.6
3,004.334.171.143.895.0
620.1901.8487.7133.7
2,289.61,158.8
674.3122.5109.164.962.2
Sept.1994P
1,599.5205.0250.1425.9
333.744.790.2
2,420.6211.5184.2301.5498.3562.3
7,770.250.586.7
477.8151.971.890.462.4
142.31,549.9
228.1635.0
85.01,686.0
88.156.180.9
105.1118.992.440.4
589.937.848.068.633.091.254.2
878.6120.0589.2
260.829.190.1
3,034.434.673.644.996.6
622.7905.5490.3134.8
2,317.51,176.4
679.9122.5109.465.261.7
Mining
Sept.1993
1.8
(1)(1)(1)
2.5
(1)(1)
4.5
0(1)
.2
(1)(1)
167.21.3
.81.01.01.0
(1).7
2.716.6
(1)4.5
.764.9
(1)2.33.5
.2
.9
13.0.6
1.8
(1).1
1.41.4
(1)1.4
8.4
(1)3.2
.6
(1)
O
12.0(1)(1)(1)(1)(1)
.5
.7
(1)
3.4.6
23.31.71.8
.41.3
Aug.1994
1.7
(1)(1)(1)
2.3
(1)(1)
4.8
(1)(1)
.5
(1)(1)
161.71.3
.71.01.01.0
(').7
2.717.0
(1)4.6
.865.7
(1)2.73.5-
.1
1.012.4
.61.8
(1).1
1.41.4
(1)1.4
8.2
(1)3.2
.7(1)(1)
11.8(1)(1)(1)(1)(1)
.6
.7
(1)
3.6.6
29.31.81.8
.42.2
Sept.1994?
1.7
0(1)(1)
2.3
(1)(1)
4.8
(1)(1)
.5
(1)(1)
161.81.3
.71.01.01.0
(1).6
2.716.9
(1)4.5
.765.1
(1)2.73.6
.1
1.012.5
.61.8
(1).1
1.4
1.3
(1)1.4
8.4
(1)3.2
.7
(1)(1)
11.7(1)(1)(1)(1)(1)
.6
.7
(1)
3.6.6
29.11.81.7
.42.2
Construction
Sept.1993
83.412.012.325.1
14.72.84.6
99.87.88.4
15.118.923.5
355.41.93.5
18.212.8
9.82.72.3
12.556.1
8.425.0
5.1105.9
3.41.93.33.85.04.21.5
25.61.62.12.32.13.81.8
44.26.1
29.7
12.91.44.3
160.01.14.02.05.0
32.547.828.1
7.3
127.862.8
35.87.25.13.42.2
Aug.1994
82.412.212.226.7
16.43.25.2
100.98.28.6
16.219.225.3
381.12.04.0
21.713.210.1
2.72.2
12.663.5
9.328.6
4.9113.8
4.52.03.54.45.14.91.5
27.41.52.52.42.14.21.8
53.87.8
35.9
12.61.34.8
167.31.24.12.25.5
33.752.728.8
7.8
134.465.1
38.27.85.23.52.9
Sept.1994?
82.312.312.127.1
15.03.14.8
101.68.28.6
16.219.425.2
378.51.93.9
21.613.3
9.82.72.2
12.263.0
9.128.2
4.9112.9
4.62.03.54.25.14.81.5
27.21.62.52.42.04.11.9
53.87.6
36.0
12.61.34.7
166.91.14.02.25.5
33.352.828.5
7.8
134.464.3
38.27.75.33.62.8
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson .
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-Bristol .KnoxvilleMemphisNashville
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-Montpelier.Burlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport News .Northern VirginiaRichmond-PetersburgRoanoke
WashingtonSeattle-Bellevue-Everett .
West VirginiaCharlestonHuntington-Ashland ..'.Parkersburg-Marietta.Wheeling
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
Manufacturing
Sept.1993
373.720.726.4
125.7
39.74.5
11.0
532.745.353.750.466.194.1
995.14.09.4
59.225.117.113.23.8
13.6221.5
46.3103.3
8.5179.7
9.21.7
16.77.3
13.56.54.7
46.89.95.9
11.73.2
15.88.0
112.414.471.6
43.53.4
15.8
406.59.97.7
16.626.967.939.161.818.8
344.8203.3
83.210.117.712.96.5
Aug.1994
370.019.826.7
123.7
44.74.6
11.8
540.045.053.350.466.596.0
1,004.53.89.5
62.425.117.113.83.9
13.7222.446.5
101.08.1
178.69.41.9
17.27.7
13.86.45.0
48.09.95.6
11.83.3
16.47.9
116.515.774.1
43.53.6
16.4
402.510.17.9
15.826.765.639.660.118.6
338.8195.3
81.810.016.913.06.0
Sept.1994P
370.719.826.7
123.4
44.74.6
11.8
540.945.053.151.066.796.5
1,005.13.89.7
62.625.017.013.73.9
13.6222.7
46.8101.1
8.0178.0
9.41.9
17.37.7
13.96.35.0
47.89.85.6
11.83.2
16.67.9
117.815.973.9
43.63.5
16.4
403.710.07.9
16.026.765.939.260.018.6
339.3194.8
81.810.016.712.86.0
Transportation andpublic utilities
Sept.1993
66.610.311.317.1
14.81.95.6
128.57.47.9
11.149.132.2
440.12.65.5
14.79.62.63.91.46.5
88.911.557.04.9
112.92.78.33.75.33.74.32.8
26.71.42.23.01.43.52.6
48.32.1
37.9
11.1.8
3.8
150.61.32.41.13.4
29.552.724.5
8.7
117.170.5
39.19.06.62.63.5
Aug.1994
67.710.211.417.4
15.42.05.8
130.97.48.0
11.150.432.7
452.22.75.8
15.09.32.54.01.56.5
96.111.557.95.2
114.92.78.93.65.34.04.32.7
27.71.62.03.11.43.62.6
50.22.2
39.3
11.2.8
3.9
153.71.42.41.23.5
30.152.224.9
8.8
118.671.2
40.29.26.62.53.7
>
Sept.1994P
67.110.111.417.5
15.42.05.7
131.17.48.0
11.250.332.7
453.62.75.8
14.99.32.53.91.56.5
96.411.657.85.1
114.22.78.93.65.34.04.22.7
27.61.62.03.11.43.62.6
50.62.2
39.3
11.2.8
3.8
153.51.42.41.23.5
30.051.924.9
8.8
120.072.3
40.19.36.62.53.9
Wholesale and retail trade
Sept.1993
355.750.754.996.7
82.913.124.0
542.051.540.975.1
126.1129.6
1,820.513.023.193.433.813.623.113.232.0
370.054.7
156.917.9
391.318.616.020.128.633.223.8
9.3141.2
7.811.517.28.1
19.512.6
194.124.0
133.9
61.06.0
20.9
651.39.2
14.39.2
19.9142.6192.3108.633.6
554.8273.1
151.030.328.316.215.1
Aug.1994
363.451.555.298.3
86.514.324.7
561.153.141.673.8
128.3133.6
1,886.213.024.199.634.514.024.012.633.6
391.054.6
162.718.5
396.719.916.919.928.934.724.5
9.9147.7
7.911.917.68.7
19.912.7
204.626.1
142.3
62.06.1
20.5
681.39.6
14.99.5
20.3146.9202.3113.335.7
560.4284.5
156.331.729.317.015.6
Sept.1994P
361.451.155.598.8
84.813.524.4
563.053.241.573.7
129.2134.3
1,882.712.923.899.234.414.024.313.333.6
388.754.7
161.818.0
394.420.016.820.229.335.324.510.0
146.07.9
11.917.78.4
20.612.8
205.826.3
142.5
61.36.1
20.4
681.09.6
15.29.5
20.5146.1200.2113.235.8
563.0286.0
155.931.629.216.815.4
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 Lake City-Ogden
VermontBarre-MontpelierBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorfolk-Virginia Beach-Newport NewsNorthern VirginiaRichmond-PetersburgRoanoke
WashingtonSeattle-Bellevue-Everett
West VirginiaCharlestonHuntington-AshlandParkersburg-Marietta.Wheeling
See footnotes at end of table.
90
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.1993
Aug.1994
Sept.1994P
Services
Sept.1993
Aug.1994
Sept.1994P
Government
Sept.1993
Aug.1994
Sept.1994P
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
TexasAbileneAmarilloAustin-San MarcosBeaumont-Port ArthurBrazoriaBrownsville-Harlingen-San BenitoBryan-College StationCorpus ChristiDallas ,El 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-Everett
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
See footnotes at end of table.
66.28.2
18.314.5
17.81.69.1
104.413.55.2
10.425.330.8
430.71.84.1
25.84.61.93.62.36.1
125.78.4
28.55.6
97.83.62.02.74.54.03.71.6
40.12.11.93.31.65.22.2
42.73.1
34.9
12.12.54.4
158.71.13.91.44.2
27.353.840.39.0
122.775.9
25.26.53.82.33.0
67.38.2
18.314.8
18.31.59.4
106.814.05.1
10.825.631.1
441.71.94.2
27.04.81.93.72.56.2
132.68.4
29.45.7
98.73.72.12.74.74.33.51.7
42.22.01.93.31.65.32.2
46.93.4
38.0
12.22.64.5
166.91.14.21.54.5
29.556.442.7
122.774.8
25.66.43.62.33.0
66.48.1
18.214.8
18.21.59.3
106.314.05.1
10.825.631.1
440.51.94.2
27.04.81.93.72.56.0
132.28.4
29.45.6
98.53.72.02.74.74.23.51.6
42.22.01.93.31.65.22.1
47.23.4
38.0
12.02.54.5
166.01.14.21.54.4
29.156.142.68.8
121.874.3
25.56.33.62.23.0
339.650.855.087.0
84.012.524.8
586.051.340.583.3
129.9162.8
1,952.116.020.1
122.739.011.720.312.635.7
419.148.2
157.517.1
480.520.88.9
18.429.021.319.810.8
166.79.4
12.617.98.2
24.114.0
218.445.4
143.1
74.77.5
24.9
813.06.2
17.28.3
23.0168.3311.7114.936.3
591.4305.2
169.834.127.416.018.7
350.752.456.787.2
87.313.225.0
601.252.038.482.7
131.5167.7
2,042.815.621.3
124.240.312.422.013.437.4
440.250.0
168.517.7
496.221.7
9.419.029.122.720.411.1
169.99.3
12.818.78.5
24.014.3
230.344.3
152.2
76.67.6
26.6
850.25.7
17.28.3
22.6177.2328.4119.537.8
603.0310.6
174.433.727.116.119.0
351.052.756.689.1
85.412.824.8
603.351.838.982.3
131.9167.3
2,035.316.220.9
125.039.812.521.713.436.7
438.249.1
165.617.4
493.321.5
9.219.029.222.620.211.2
169.79.7
12.818.78.6
25.614.4
233.348.0
152.1
75.77.6
26.5
855.16.1
17.38.5
23.8176.7330.4119.738.3
605.8311.9
175.833.927.116.819.2
295.953.269.255.0
66.27.09.3
366.933.028.756.777.274.4
1,382.39.8
16.8122.323.613.320.325.631.0
187.047.985.724.4
228.924.911.711.124.332.416.1
7.9127.4
5.111.610.06.3
14.811.1
158.416.5
102.8
43.37.1
14.0
594.65.4
23.35.8
12.2143.2172.299.216.6
425.9166.5
131.121.419.310.49.1
282.648.567.548.8
63.86.68.4
352.831.126.653.366.772.1
1,369.79.4
16.7117.622.212.219.323.129.9
186.146.582.224.1
224.025.012.110.723.932.415.27.2
119.84.8
10.89.95.7
14.610.8
152.615.399.8
36.86.1
11.9
570.65.0
20.45.3
11.9137.1169.697.716.1
408.1156.7
128.521.918.610.19.8
298.950.969.655.2
67.97.29.4
369.631.929.055.875.275.2
1,412.79.8
17.7126.524.313.120.425.031.0
191.848.486.625.3
229.626.212.611.024.632.816.4
7.8127.6
5.211.210.26.5
15.511.1
161.716.6
104.2
43.77.3
13.8
596.55.3
22.66.0
12.2141.6174.3100.716.7
429.6172.2
133.521.919.210.19.2
91
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.1993
2,441.9175.961.8
117.863.0
' 45.562.1
243.6777.2
76.454.857.0
218.829.4
851.655.163.569.0
531.3
48.6
Aug.1994
2,479.2178.961.6
124.164.344.863.2
246.7785.1
78.656.858.4
217.628.9
882.857.364.173.2
542.6
45.1
Sept.1994P
2,495.1179.763.6
124.764.746.263.9
249.2787.0
79.256.558.3
220.829.3
868.955.763.769.6
538.7
44.3
Mining
Sept.1993
2.5(1)
. (1)(1)(1)(1)(1)0OV)0(1)
18.62.3
.9(1)0)0)
.5
(1)
Aug.1994
2.70(1)V)(1)(1)0)o0)0)0)o
18.42.2
.90)(1)0)
.5
0
Sept.1994P
2.5OO0)(1)0(1)0(1)(1)(1)0)
18.62.3
.9V)(1)0)
.5
(1)
Constructor
Sept.1993
102.310.32.66.12.61.82.1
10.430.0
3.12.22.3
14.01.6
46.61.63.04.9
34.2
5.7
Aug.1994
109.710.22.77.03.11.92.4
11.632.3
3.62.92.3
14.51.7
42.71.32.64.2
31.8
2.3
i
Sept.1994P
109.310.12.77.03.11.92.4
11.632.3
3.72.92.3
14.01.6
42.61.32.74.1
31.1
2.3
WisconsinAppleton-Oshkosh-Neenah .Eau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin Islands
See footnotes at end of table.
92
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
Manufacturing
Sept.1993
568.156.610.125.618.710.010.926.9
167.123.222.815.8
9.71.6
148.814.419.212.166.2
2.8
Aug.1994
585.659.010.426.319.19.9
11.628.3
171.024.124.216.0
10.01.6
149.913.618.711.468.2
2.9
Sept.1994P
581.458.510.325.819.29.9
11.528.1
171.524.623.815.7
10.21.6
150.913.519.311.168.2
2.9
Transportation andf
Sept.1993
115.46.93.38.62.51.62.88.2
37.32.51.83.7
14.81.6
20.5.5.5
1.715.6
2.7
public utilities
Aug.1994
112.17.03.29.02.41.72.87.7
36.42.51.73.9
14.41.5
21.1.5.5
1.814.3
2.6
5
Sept.1994?
115.57.03.49.02.51.82.78.0
37.62.61.84.0
14.31.6
20.8.6.4
1.814.1
2.6
Wholesale and retail trade
Sept.1993
558.337.617.028.014.712.917.053.0
170.216.69.9
13.5
50.38.4
165.612.210.312.1
110.4
11.0
Aug.1994
573.737.217.329.514.913.216.754.4
174.116.810.014.3
52.48.4
165.812.610.111.7
110.1
10.5
Sept.1994P
568.037.717.529.414.813.316.955.0
171.116.59.9
14.0
51.08.4
168.312.610.211.9
112.0
10.4
WisconsinAppleton-Oshkosh-Neenah ..Eau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin Islands
See footnotes at end of table.
93
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.1993
Aug.1994
Sept.1994P
Services
Sept.1993
Aug.1994
Sept.1994P
Government
Sept.1993
Aug.1994
Sept.1994P
WisconsinAppleton-Oshkosh-Neenah ...Eau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
Puerto RicoCaguasMayaguezPonceSan Juan-Bayamon
Virgin islands
131.68.72.27.81.91.52.2
21.053.02.52.14.4
7.81.2
38.81.41.51.8
30.7
2.2
134.79.02.18.12.01.32.4
21.054.82.42.04.5
7.91.1
40.01.61.51.9
31.6
2.0
133.68.92.18.02.01.32.4
20.854.42.42.04.5
7.81.1
40.21.61.51.9
31.8
2.0
606.037.415.029.714.610.818.256.9
231.819.910.510.7
45.97.4
149.79.59.3
13.4101.5
10.5
626.638.815.832.415.210.819.059.5
235.620.510.411.0
48.97.4
147.79.19.2
13.8100.1
10.4
623.338.515.833.015.011.019.259.4
234.420.610.410.8
46.77.3
152.99.49.5
14.2103.1
10.4
357.618.411.611.97.96.98.9
67.187.98.75.66.6
57.75.3
280.715.519.723.0
172.2
13.7
334.217.810.011.97.65.98.3
64.180.9
8.75.66.3
51.15.0
314.718.621.528.4
186.0
14.4
361.519.011.812.58.17.18.9
66.385.6
8.95.87.0
58.25.4
292.316.720.124.6
177.9
13.7
Combined with construction.Not available.= preliminary.
NOTE: Area definitions are published annually in the May issue of this publication.All State and area data have been adjusted to March 1993 benchmarks.
94
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Total private
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 hanging ...Electrical 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 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
34.5
44.5
43.742.546.6
44.444.5
43.742.344.5
47.248.5
38.3
37.437.338.237.5
42.244.341.0
37.638.836.538.534.935.934.8
41.5
42.1
41.341.942.642.941.440.740.640.740.541.139.540.841.140.7
40.239.639.639.140.841.539.341.841.841.2
34.6
45.5
42.944.544.0
45.645.9
45.443.846.3
47.249.0
39.3
38.437.738.539.1
43.244.742.4
38.539.836.639.835.836.635.6
41.8
42.5
41.441.442.342.741.041.241.041.141.641.439.841.641.640.6
40.740.040.039.842.338.942.041.641.742.1
34.9
45.1
43.644.745.8
45.345.4
44.241.146.1
48.049.8
39.7
38.737.639.239.8
44.346.643.1
38.939.937.740.236.436.536.4
42.0
42.7
41.641.442.743.240.741.440.541.942.243.039.942.142.040.4
40.739.740.238.440.441.242.042.842.840.5
34.8
45.5
44.544.447.5
45.445.4
44.843.245.7
48.049.7
39.9
38.837.638.739.8
44.746.943.5
39.139.637.840.036.736.536.6
42.4
43.1
41.541.142.643.240.541.340.940.942.642.940.341.641.940.9
41.140.240.239.640.541.643.042.143.340.7
35.0
45.7
39.4
42.3
43.1
41.6
41.1
4.5
4.5
4.46.05.05.33,93.93.53.74.44.63.44.24.43.7
3.52.92.82.33.64.84.13.95.13.4
4.5
4.7
4.56.15.25.53.84.13.64.24.34.83.54.14.23.5
3.53.13.12.94.12.94.13.74.93.5
4.8
5.1
4.86.75.25.73.74.53.44.84.75.83.64.74.63.7
3.72.82.82.03.74.44.25.26.03.1
5.1
5.4
4.86.75.15.63.64.43.64.44.95.94.14.95.03.8
3.93.12.92.64.04.84.35.06.13.4
5.0
5.3
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Total private
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
Manufacturing
Durable 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
$10.91
14.54
15.4516.7814.15
17.1017.30
14.1017.2812.35
12.9312.20
14.52
13.7012.6813.3214.67
14.4114.5514.34
14.8415.1313.6115.9015.0514.6512.97
11.85
12.44
9.7311.649.81
10.188.299.72
10.039.018.49
11.677.119.459.499.19
9.408.868.329.518.939.41
10.069.59
10.799.58
$10.94
14.47
15.4416.5514.15
17.0917.29
14.0217.4012.18
12.8612.27
14.55
13.7712.6813.3614.75
14.4814.6214.40
14.8515.1313.8215.9914.9114.4812.99
11.80
12.40
9.7111.539.86
10.228.349.72
10.059.088.38
11.527.149.499.569.05
9.408.858.299.638.799.19
10.249.61
10.679.67
$11.04
14.69
16.0317.5214.18
17.4617.65
13.8717.9311.67
13.1512.68
14.76
13.9212.7313.3615.02
14.6514.8214.56
15.0915.3313.7316.3815.1815.0213.29
12.01
12.62
9.8611.5810.0310.378.649.91
10.199.218.68
11.887.429.679.719.19
9.579.038.479.798.989.56
10.349.63
10.849.69
$11.21
14.91
16.5218.9314.32
17.6217.83
14.1418.4111.77
13.2312.66
14.94
14.1412.9913.4115.19
14.8614.9614.80
15.2315.4313.8916.4615.2915.1213.25
12.14
12.76
9.9311.7010.1010.448.709.98
10.239.308.64
11.977.559.839.889.21
9.709.138.559.928.939.64
10.519.95
11.009.74
$11.26
14.89
15.00
12.11
12.71
9.98
9.71
$376.40
647.03
675.17713.15659.39
759.24769.85
616.17730.94549.58
610.30591.70
556.12
512.38472.96508.82550.13
608.10644.57587.94
557.98587.04496.77612.15525.25525.94451.36
491.78
523.72
401.85487.72417.91436.72343.21395.60407.22366.71343.85479.64280.85385.56390.04374.03
377.88350.86329.47371.84364.34390.52395.36400.86451.02394.70
$378.52
658.39
662.38736.48622.60
779.30793.61
636.51762.12563.93
606.99601.23
571.82
528.77478.04514.36576.73
625.54653.51610.56
571.73602.17505.81636.40533.78529.97462.44
493.24
527.00
401.99477.34417.08436.39341.94400.46412.05373.19348.61476.93284.17394.78397.70367.43
382.58354.00331.60383.27371.82357.49430.08399.78444.94407.11
$385.30
662.52
698.91783.14649.44
790.94801.31
613.05736.92537.99
631.20631.46
585.97
538.70478.65523.71597.80
649.00690.61627.54
587.00611.67517.62658.48552.55548.23483.76
504.42
538.87
410.18479.41428.28447.98351.65410.27412.70385.90366.30510.84296.06407.11407.82371.28
389.50358.49340.49375.94362.79393.87434.28412.16463.95392.45
$390.11
678.41
735.14840.49680.20
799.95809.48
633.47795.31537.89
635.04629.20
596.11
548.63488.42518.97604.56
664.24701.62643.80
595.49611.03525.04658.40561.14551.88484.95
514.74
549.96
412.10480.87430.26451.01352.35412.17418.41380.37368.06513.51304.27408.93413.97376.69
398.67367.03343.71392.83361.67401.02451.93418.90476.30396.42
$394.10
680.47
591.00
512.25
547.80
415.17
399.08
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 by detailedindustry—Continued
Industry1987SIC
Code
Average weekly hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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 electric ...Plumbing 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
43.347.942.943.242.742.343.840.540.644.746.343.944.643.243.239.9
43.744.344.842.644.345.241.642.343.742.543.543.544.543.441.340.6
41.744.243.9"40.740.640.641.140.341.541.442.040.441.940.941.041.641.541.843.342.344.541.940.139.840.741.440.941.841.341.5
43.547.342.243.141.442.942.241.641.145.247.044.445.142.943.642.0
43.743.643.843.145.146.043.743.742.141.443.743.345.543.042.142.1
42.643.543.442.041.742.042.341.442.942.143.041.442.441.441.542.141.642.744.542.845.943.141.340.942.041.340.742.542.442.2
44.048.743.144.042.443.241.942.040.846.246.644.547.042.342.441.1
44.545.145.543.845.246.047.142.942.542.244.745.045.343.942.641.2
42.844.143.642.442.442.142.241.742.942.443.641.441.942.042.342.942.743.144.643.046.142.941.541.441.742.341.842.742.041.9
44.250.042.543.741.544.043.142.240.846.446.745.146.942.843.240.7
44.945.646.144.445.646.346.044.343.442.645.145.147.244.343.242.6
43.244.744.542.942.942.742.640.844.342.543.241.943.041.742.243.142.843.445.242.447.343.141.941.842.143.643.742.742.241.8
44.1
44.845.6
43.2
5.89.25.36.83.94.14.53.84.37.47.95.97.95.13.96.0
5.95.96.24.76.37.18.14.65.75.06.77.37.96.34.44.5
4.56.46.53.63.04.04.02.44.44.55.14.04.84.03.74.64.35.05.54.86.54.33.63.24.33.42.44.23.73.8
5.89.14.45.63.34.14.03.94.78.08.46.58.64.94.05.6
5.85.65.84.96.67.58.34.94.94.66.37.37.65.64.54.4
4.75.96.14.14.04.14.63.15.34.75.24.05.04.24.34.84.55.25.84.86.64.83.93.64.53.73.04.54.83.9
6.410.14.75.93.74.14.05.04.48.98.97.2
10.04.94.03.6
6.76.97.25.78.09.27.26.05.45.47.08.17.36.25.34.7
5.17.26.94.54.44.44.43.84.95.16.24.44.64.75.15.55.25.86.15.66.95.04.44.24.84.73.34.75.04.1
6.59.64.75.83.84.74.45.14.38.98.87.39.95.24.22.3
6.97.17.56.27.78.97.95.95.55.37.38.57.76.45.45.3
5.47.37.14.94.94.85.03.56.35.15.84.65.34.64.75.85.56.16.75.28.15.24.84.55.45.33.94.84.44.2
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
$12.0318.4213.5614.1313.0310.2515.4210.4710.4111.5110.7410.3612.1212.5410.7014.02
14.2016.5717.7412.7612.7813.3314.9811.7315.4815.6613.3913.1016.2213.3511.3410.94
11.8115.3516.4411.6510.9811.7110.6710.0610.8110.9610.789.24
12.5111.1810.1411.5610.7912.4314.3013.6516.5311.269.699.749.60
13.7814.1310.9511.329.71
$11.9217.9513.4013.8212.9910.1315.1910.3910.3911.5110.8210.3412.1912.3610.7214.18
14.0016.4217.6212.6912.6613.2313.7211.7115.4315.6713.0812.8715.4613.1211.2710.64
11.7415.1316.1911.7911.1111.8410.6210.0010.8210.9110.799.16
12.4311.1010.3611.6010.8512.4314.0613.5416.0911.219.579.669.43
13.5013.6410.9611.359.76
$12.1718.5313.6614.2113.1710.5015.4110.8510.5311.8311.1610.5312.5512.4810.7714.95
14.3316.9618.2413.2713.2014.0414.4111.9015.6115.6513.2813.2015.5713.3211.3610.65
11.8715.5316.6111.8211.0811.8410.579.85
10.9711.0111.179.27
12.3511.2810.1211.6610.9612.4614.2313.8116.3911.219.799.769.85
14.0214.5811.1711.539.87
$12.2619.3613.6314.2413.1010.6015.8310.8010.6411.8911.2210.5712.6512.6110.8815.28
14.3316.8618.0713.3813.3314.1814.8011.9715.6215.7513.3513.2415.4213.3511.3110.68
12.0015.6116.7011.8711.0711.9410.619.88
10.9811.0711.189.35
12.4111.3010.2811.8111.0912.6214.4813.8316.7311.259.979.91
10.0714.1014.4911.2711.4710.05
$12.23
14.2716.84
11.92
$520.90882.32581.72610.42556.38433.58675.40424.04422.65514.50497.26454.80540.55541.73462.24559.40
620.54734.05794.75543.58566.15602.52623.17496.18676.48665.55582.47569.85721.79579.39468.34444.16
492.48678.47721.72474.16445.79475.43438.54405.42448.62453.74452.76373.30524.17457.26415.74480.90447.79519.57619.19577.40735.59471.79388.57387.65390.72570.49577.92457.71467.52402.97
$518.52849.04565.48595.64537.79434.58641.02432.22427.03520.25508.54459.10549.77530.24467.39595.56
611.80715.91771.76546.94570.97608.58599.56511.73649.60648.74571.60557.27703.43564.16474.47447.94
500.12658.16702.65495.18463.29497.28449.23414.00464.18459.31463.97379.22527.03459.54429.94488.36451.36530.76625.67579.51738.53483.15395.24395.09396.06557.55555.15465.80481.24411.87
$535.48902.41588.75625.24558.41453.60645.68455.70429.62546.55520.06468.59589.85527.90456.65614.45
637.69764.90829.92581.23596.64645.84678.71510.51663.43660.43593.62594.00705.32584.75483.94438.78
508.04684.87724.20501.17469.79498.46446.05410.75470.61466.82487.01383.78517.47473.76428.08500.21467.99537.03634.66593.83755.58480.91406.29404.06410.75593.05609.44476.96484.26413.55
$541.89968.00579.28622.29543.65466.40682.27455.76434.11551.70523.97476.71593.29539.71470.02621.90
643.42768.82833.03594.07607.85656.53680.80530.27677.91670.95602.09597.12727.82591.41488.59454.97
518.40697.77743.15509.22474.90509.84451.99403.10486.41470.48482.98391.77533.63471.21433.82509.01474.65547.71654.50586.39791.33484.88417.74414.24423.95614.76633.21481.23484.03420.09
$539.34
639.30767.90
514.94
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
42.644.845.444.541.542.943.743.542.146.843.741.742.842.543.443.341.942.442.541.542.342.442.343.442.142.140.743.342.242.243.1
42.042.142.542.242.442.2
41.741.141.440.841.741.940.840.841.640.841.541.444.340.241.640.141.240.243.244.141.241.642.240.442.944.843.3
43.245.044.345.342.743.444.143.842.348.442.441.743.543.245.644.142.341.942.740.741.643.043.043.743.442.942.741.643.242.042.5
42.643.343.942.842.542.8
42.142.342.342.242.643.041.741.941.044.543.642.044.440.542.540.441.341.343.144.241.241.741.640.943.345.143.6
43.143.941.944.741.942.043.442.043.846.642.743.043.944.743.944.143.443.342.941.842.042.743.643.944.944.143.642.243.241.942.7
39.642.743.043.042.943.1
42.040.940.341.741.942.440.542.245.042.941.042.245.540.843.739.141.641.242.343.641.642.741.841.443.145.343.7
43.744.342.744.943.143.643.541.943.746.643.543.044.345.144.944.543.742.743.441.342.843.643.943.945.745.043.742.943.343.044.5
41.744.245.343.543.243.6
42.241.341.341.343.043.342.341.442.541.941.842.245.340.942.738.642.241.542.343.741.742.842.341.243.844.944.4
43.8
42.4
4.85.67.64.74.55.25.04.54.86.46.04.15.34.64.66.03.84.85.03.75.64.94.55.05.33.83.55.44.63.53.8
3.94.75.24.85.14.8
4.04.04.23.83.43.53.03.32.82.24.43.84.53.13.83.64.33.64.13.94.14.84.93.45.16.85.1
4.95.87.05.24.44.84.84.05.17.04.84.25.74.96.06.54.14.24.93.44.65.34.75.25.64.74.24.94.03.73.7
4.95.05.44.94.85.0
4.14.14.23.83.94.13.43.52.04.95.04.04.53.23.63.54.84.04.04.34.04.14.73.45.06.15.2
5.45.74.46.24.44.95.75.35.07.55.75.16.16.46.06.74.94.95.33.85.05.05.55.27.45.25.25.75.63.63.6
3.55.55.85.56.25.5
4.44.13.74.54.44.83.44.45.36.33.74.35.53.94.23.04.94.14.04.44.34.64.63.95.27.25.3
5.55.55.35.64.75.25.44.65.37.06.14.96.36.56.76.95.14.55.63.95.25.75.75.57.75.75.16.25.63.83.9
3.75.56.05.76.35.8
4.54.24.34.14.75.04.24.04.15.64.54.45.04.14.02.55.74.43.84.14.54.85.04.25.67.25.7
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
$12.8316.2017.0915.8112.3213.1913.0214.4413.3612.1211.9311.2813.4313.6513.5314.0611.7211.0313.2711.3415.1812.9712.6013.6013.9212.6110.5213.5412.5512.6813.73
12.6511.4911.6112.2213.2311.90
11.3211.2710.9011.6710.739.90
12.2210.4211.4012.508.35
10.9211.6510.8310.658.32
11.1311.6411.7612.7211.2913.4014.529.53
12.8114.5113.28
$12.8216.2817.0715.9512.2113.1813.0314.4513.3512.1411.8111.3313.4613.6313.6714.0711.8411.0713.2311.3714.9612.8412.5913.7713.7212.7410.5413.5012.5112.5513.54
12.5711.5311.6812.1913.2011.88
11.2911.1510.7511.5810.719.91
12.1810.4111.3112.688.38
10.9111.5610.8710.548.28
11.0511.6311.9612.9911.2313.1514.529.50
12.6714.2013.25
$12.9116.2517.3515.8012.2813.0912.7113.7613.5211.8012.1911.3713.5713.9313.6714.1111.9311.2513.4111.5515.4213.0212.7013.6414.2712.9910.4913.4212.6513.1014.18
12.8811.5611.6912.4313.3212.13
11.5311.2310.6611.8510.8610.1412.4011.0611.4413.738.79
11.1911.6911.1810.468.52
11.4311.9812.4914.1211.2913.6014.309.63
12.8614.4213.30
$13.0216.2117.7215.6112.8513.7712.7013.6613.6811.8912.1111.4713.6914.0013.8014.2711.9811.3313.4811.5515.4313.1112.8313.9014.3313.4010.6313.6412.6913.3514.65
12.9811.6111.7612.4513.4812.15
11.5911.3210.7112.0010.9910.2712.5511.0411.5514.058.86
11.2911.9411.1610.508.36
11.6212.3012.4914.0011.3613.6414.369.71
12.8614.2413.36
$13.00
11.55
$546.56725.76775.89703.55511.28565.85568.97628.14562.46567.22521.34470.38574.80580.13587.20608.80491.07467.67563.98470.61642.11549.93532.98590.24586.03530.88428.16586.28529.61535.10591.76
531.30483.73493.43515.68560.95502.18
472.04463.20451.26476.14447.44414.81498.58425.14474.24510.00346.53452.09516.10435.37443.04333.63458.56467.93508.03560.95465.15557.44612.74385.01549.55650.05575.02
$553.82732.60756.20722.54521.37572.01574.62632.91564.71587.58500.74472.46585.51588.82623.35620.49500.83463.83564.92462.76622.34552.12541.37601.75595.45546.55450.06561.60540.43527.10575.45
535.48499.25512.75521.73561.00508.46
475.31471.65454.73488.68456.25426.13507.91436.18463.71564.26365.37458.22513.26440.24447.95334.51456.37480.32515.48574.16462.68548.36604.03388.55548.61640.42577.70
$556.42713.38726.97706.26514.53549.78551.61577.92592.18549.88520.51488.91595.72622.67600.11622.25517.76487.13575.29482.79647.64555.95553.72598.80640.72572.86457.36566.32546.48548.89605.49
510.05493.61502.67534.49571.43522.80
484.26459.31429.60494.15455.03429.94502.20466.73514.80589.02360.39472.22531.90456.14457.10333.13475.49493.58528.33615.63469.66580.72597.74398.68554.27653.23581.21
$568.97718.10756.64700.89553.84600.37552.45572.35597.82554.07526.79493.21606.47631.40619.62635.02523.53483.79585.03477.02660.40571.60563.24610.21654.88603.00464.53585.16549.48574.05651.93
541.27513.16532.73541.58582.34529.74
489.10467.52442.32495.60472.57444.69530.87457.06490.88588.70370.35476.44540.88456.44448.35322.70490.36510.45528.33611.80473.71583.79607.43400.05563.27639.38593.18
$569.40
489.72
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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 repairing .'.Boat 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 specialties ....Canned fruits and vegetables ...Frozen fruits and vegetables
Grain mill productsFlour and other grain mill productsPrepared feeds, nee
See footnotes at end of table.
3737137113713371437153723721372437283733731373237437637613793792
3838138238223823382538438413842385386387
3939139113933943942,4394939539639613993993
202012011201320152022022202620320322033203720420412048
43.144.645.244.044.542.641.641.243.241.239.840.139.242.141.642.640.439.1
40.940.641.140.641.441.740.841.140.539.841.942.9
39.938.738.039.940.038.940.840.240.140.040.240.9
40.9
41.440.842.242.639.342.241.243.141.646.342.639.745.347.543.2
43.845.445.943.845.542.641.841.343.541.540.540.640.342.442.042.340.639.9
41.040.641.241.341.041.541.141.740.739.341.342.6
40.239.639.339.240.439.740.840.740.340.540.441.2
40.9
41.440.641.642.439.441.640.442.641.745.541.941.045.447.743.7
44.045.646.743.645.343.441.840.742.742.941.041.540.246.841.842.139.338.6
41.540.142.442.843.242.141.141.041.239.342.843.0
39.938.238.240.340.139.340.639.339.238.540.541.4
41.1
41.841.542.642.940.341.740.442.242.442.843.940.345.545.844.5
44.846.548.143.146.143.242.541.543.943.141.341.840.446.442.242.939.038.9
41.840.842.543.642.841.941.240.741.739.243.842.5
40.138.638.441.140.239.340.740.340.440.540.441.4
41.4
42.342.144.744.139.942.541.043.543.044.544.140.846.247.045.7
44.445.8
41.8
40.5
41.3
41.7
5.16.36.45.96.55.14.13.85.03.92.32.22.53.53.13.53.32.2
2.82.22.63.42.22.22.93.02.72.84.53.2
3.12.52.41.83.02.83.13.03.43.73.53.7
4.5
5.44.45.35.83.35.04.65.26.57.27.55.18.17.86.8
5.56.87.46.06.84.84.34.05.14.12.52.33.03.93.23.43.12.4
2.92.12.73.32.22.33.23.53.02.04.23.5
3.43.73.82.23.23.13.32.64.65.93.63.9
4.3
5.14.34.95.33.64.33.94.35.86.75.95.57.98.37.0
6.07.38.05.97.25.04.64.35.24.73.12.83.46.43.53.72.72.2
3.32.33.44.33.22.63.22.93.42.45.04.4
3.12.32.32.63.22.83.42.33.02.63.43.9
4.5
5.65.05.26.04.44.84.04.96.75.98.35.17.46.86.5
6.68.19.54.77.85.04.94.35.85.13.33.23.56.24.14.42.92.5
3.62.93.54.53.32.43.53.23.72.56.24.2
3.52.82.73.23.63.53.62.84.04.63.84.2
4.8
5.85.56.96.04.55.14.85.67.28.28.55.37.98.07.5
4.6
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
3838138238223823382538438413842385386387
3939139113933943942,4394939539639613993993
202012011201320152022022202620320322033203720420412048
$15.9816.3419.5614.5714.999.74
17.35
$16.9615.7912.3813.499.87
14.9617.10
$11.2211.11
12.3316.4312.1810.8811.6713.3010.9010.7210.228.89
14.888.39
9.429.639.559.378.868.599.02
10.468.177.279.84
10.20
11.09
10.518.629.40
10.127.55
11.8010.5912.569.94
13.249.958.89
12.7810.5910.31
$15.9916.3319.7914.3514.869.80
17.47(2)
$16.9015.9912.3213.449.83
14.9517.10(2)
$11.1410.88
12.3216.5512.1810.8811.7413.3310.8910.7210.248.88
14.758.24
9.419.739.649.528.788.518.95
10.308.257.399.85
10.26
11.02
10.388.559.309.937.54
11.6810.4412.389.78
12.999.738.90
12.5810.4310.30
$16.4516.9120.6014.8715.349.92
18.04
$17.2516.0812.3413.729.87
15.8717.63
$10.6610.68
12.4716.8612.2510.8211.7113.6711.1310.7210.629.42
15.098.59
9.629.929.839.439.148.809.33
10.618.247.079.98
10.20
11.20
10.608.729.44
10.087.76
12.0410.8112.7210.0013.3510.288.74
13.2011.1810.52
$16.7217.2621.0114.5115.609.94
18.09
$17.3916.1112.4813.979.80
15.7917.74
$11.1111.11
12.5417.0712.2910.9311.7413.7411.1610.8610.509.38
15.228.53
9.709.899.839.539.218.909.38
10.688.337.21
10.1210.50
11.31
10.648.829.53
10.087.86
12.1911.1112.829.95
13.4510.068.72
13.2211.4110.43
$16.5717.01
12.54
9.72
11.31
10.65
$688.74728.76884.11641.08667.06414.92721.76
$732.67650.55492.72540.95386.90629.82711.36
$453.29434.40
504.30667.06500.60441.73483.14554.61444.72440.59413.91353.82623.47359.93
375.86372.68362.90373.86354.40334.15368.02420.49327.62290.80395.57417.18
453.58
435.11351.70396.68431.11296.72497.96436.31541.34413.50613.01423.87352.93578.93503.03445.39
$700.36741.38908.36628.53676.13417.48730.25
$735.15663.59498.96545.66396.15633.88718.20
$452.28434.11
505.12671.93501.82449.34481.34553.20447.58447.02416.77348.98609.18351.02
378.28385.31378.85373.18354.71337.85365.16419.21332.48299.30397.94422.71
450.72
429.73347.13386.88421.03297.08485.89421.78527.39407.83591.05407.69364.90571.13497.51450.11
$723.80771.10962.02648.33694.90430.53754.07
$736.58689.83505.94569.38396.77742.72736.93
$418.94412.25
517.51676.09519.40463.10505.87575.51457.44439.52437.54370.21645.85369.37
383.84378.94375.51380.03366.51345.84378.80416.97323.01272.20404.19422.28
460.32
443.08361.88402.14432.43312.73502.07436.72536.78424.00571.38451.29352.22600.60512.04468.14
$749.06802.59
1,010.58625.38719.16429.41768.83
$763.42694.34515.42583.95395.92732.66748.63
$433.29432.18
524.17696.46522.33476.55502.47575.71459.79442.00437.85367.70666.64362.53
388.97381.75377.47391.68370.24349.77381.77430.40336.53292.01408.85434.70
468.23
450.07371.32425.99444.53313.61518.08455.51557.67427.85598.53443.65355.78610.76536.27476.65
$735.71779.06
524.17
393.66
467.10
444.11
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
40.339.6
41.640.647.247.839.739.443.941.942.142.140.8
38.136.5
41.942.941.945.239.640.039.839.240.238.839.843.344.940.744.041.742.039.644.2
36.936.136.434.736.036.835.535.336.035.935.337.938.336.236.636.237.039.638.740.240.1
44.146.246.3
40.139.5
41.442.250.146.345.340.044.541.142.140.840.7
38.736.4
41.742.142.243.038.739.939.439.739.640.239.743.745.341.944.341.441.639.143.7
37.236.836.735.336.137.335.535.535.935.035.538.638.738.337.036.837.439.839.040.440.0
44.045.845.9
40.239.3
42.041.246.247.442.239.944.141.944.941.941.0
39.440.2
41.942.842.041.040.540.739.439.740.539.342.443.744.841.942.941.942.339.042.5
37.937.038.037.637.337.936.335.636.535.636.638.438.637.637.737.537.639.938.039.141.2
43.945.245.7
40.439.4
42.341.246.750.439.539.944.542.845.842.041.2
41.241.8
42.142.941.643.040.541.141.039.941.140.442.043.144.341.943.641.541.938.543.1
37.836.138.137.337.537.835.936.636.235.235.938.138.238.038.838.538.040.138.739.941.6
44.445.946.1
42.3
41.8
38.0
44.5
4.84.6
5.24.78.410.96.23.86.76.08.05.05.2
2.11.5
4.86.74.77.62.93.33.43.53.01.63.55.76.54.46.74.54.63.65.4
1.91.21.5.91.71.31.51.12.11.61.31.91.91.81.91.81.93.52.74.03.7
6.27.57.9
4.84.5
5.34.89.88.57.43.37.34.86.93.85.0
2.01.4
4.75.94.75.92.23.43.43.92.82.03.86.26.95.36.64.34.43.35.4
2.01.31.51.21.51.41.5.9
2.31.41.42.32.32.41.71.42.03.73.14.24.3
5.76.37.5
4.64.4
5.04.56.57.53.64.16.25.67.95.45.7
4.65.9
4.86.24.94.83.63.62.93.53.21.74.96.57.05.85.74.74.93.44.8
2.21.42.01.72.01.71.71.02.11.71.82.32.22.82.12.11.93.51.63.24.4
5.96.07.6
4.84.5
5.44.67.010.34.63.96.75.57.64.55.3
4.65.9
4.96.44.75.23.54.03.43.83.72.65.55.76.54.96.34.54.73.15.2
2.31.12.11.42.11.91.61.32.21.41.62.52.42.92.72.42.13.92.33.94.9
6.36.68.2
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
$475.16457.45
510.72484.10501.27749.39574.34426.13504.50628.50915.51507.41385.40
730.48
Sept.1994P
$475.51461.37
502.95475.86509.96805.39508.37419.75504.19642.86942.11498.96390.99
761.79
Oct.1994P
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
$11.7611.66
11.9411.4010.8316.2912.4910.3611.1214.8620.5412.099.58
16.1321.35
8.969.409.869.538.268.127.717.867.758.039.079.179.069.629.038.678.619.1310.45
7.157.716.756.766.636.456.796.357.407.296.596.916.717.806.406.347.008.257.287.4510.27
13.6717.0417.14
$11.6411.51
11.8610.7610.1816.3110.359.96
10.9714.7620.1412.009.61
15.8421.32
8.959.389.829.428.178.147.667.907.768.079.129.269.119.768.968.668.619.00
10.47
7.147.896.726.726.566.426.786.287.407.236.606.926.757.646.426.326.998.197.377.529.97
13.5516.8717.00
$11.8211.64
12.1611.7510.8515.8113.6110.6811.4415.0020.3912.119.40
18.5423.64
9.139.53
10.139.488.428.337.888.057.788.429.259.479.24
10.009.058.928.889.40
10.40
7.357.876.996.946.876.696.946.447.527.536.786.956.717.976.586.446.958.537.197.74
10.99
13.7917.0717.29
$11.7711.71
11.8911.5510.9215.9812.8710.5211.3315.0220.5711.889.49
18.4924.28
9.219.72
10.159.588.448.407.948.167.838.589.369.439.219.949.178.968.959.32
10.64
7.437.977.046.966.956.737.036.577.597.556.877.026.817.876.586.496.988.647.357.80
11.22
13.9617.3417.92
$18.49
9.21
7.41
13.87
$473.93461.74
496.70462.84511.18778.66495.85408.18488.17622.63864.73508.99390.86
614.55779.28
375.42403.26413.13430.76327.10324.80306.86308.11311.55311.56360.99397.06406.79391.53397.32361.54361.62361.55461.89
263.84278.33245.70234.57238.68237.36241.05224.16266.40261.71232.63261.89256.99282.36234.24229.51259.00326.70281.74299.49411.83
602.85787.25793.58
$466.76454.65
491.00454.07510.02755.15468.86398.40488.17606.64847.89489.60391.13
613.01776.05
373.22394.90414.40405.06316.18324.79301.80313.63307.30324.41362.06404.66412.68408.94396.93358.52358.18351.90457.54
265.61290.35246.62237.22236.82239.47240.69222.94265.66253.05234.30267.11261.23292.61237.54232.58261.43325.96287.43303.81398.80
596.20772.65780.30
$782.13950.33 |1,014.90 |
382.55407.88425.46388.68341.01339.03310.47319.59315.09330.91392.20413.84413.95419.00388.25373.75375.62366.60442.00
278.57291.19265.62260.94256.25253.55251.92229.26274.48268.07248.15266.88259.01299.67248.07241.50261.32340.35273.22302.63452.79
605.38771.56790.15
387.74416.99422.24411.94341.82345.24325.54325.58321.81346.63393.12406.43408.00416.49399.81371.84375.01358.82458.58
280.85287.72268.22259.61260.63254.39252.38240.46274.76265.76246.63267.46260.14299.06255.30249.87265.24346.46284.45311.22466.75
619.82795.91826.11
384.98
281.58
617.22
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
Transportation and public utilities
Railroad transportation:Class I railroads3
See footnotes at end of table.
265265326562657267267226732677
272712722732731273227427527522759276278279
28281281928228212824283283428428412842,3284428528628652869287289
29291295
303013023053052306308
3131131431433144316317
4011
43.444.242.243.442.442.743.241.2
38.733.238.040.538.442.836.640.540.539.941.339.739.7
43.443.943.244.945.944.441.541.241.543.041.340.842.446.446.246.445.942.8
44.143.746.2
41.644.038.540.741.940.741.7
38.440.738.037.937.437.338.4
39.8
45.7
44.044.942.543.842.142.142.140.8
38.633.038.140.539.341.937.040.340.239.741.839.439.6
43.143.843.444.245.343.041.541.242.042.741.442.041.845.345.545.245.042.6
45.846.046.3
41.943.242.040.842.241.641.9
38.741.737.937.638.138.639.7
39.9
47.4
44.345.243.543.942.143.141.341.8
38.732.837.641.240.841.637.140.340.040.541.539.939.7
42.944.443.843.744.343.041.040.640.840.840.641.043.045.245.845.145.243.2
43.542.646.6
42.143.942.142.243.941.641.9
38.643.537.838.037.739.837.2
40.2
46.7
44.845.542.645.142.543.241.741.4
39.133.038.042.040.643.437.140.940.740.841.940.040.1
43.044.143.544.045.043.241.340.940.441.040.440.043.145.345.845.245.843.0
46.446.946.1
42.344.038.542.444.442.142.2
38.843.337.837.838.139.838.7
40.1
46.3
39.1
43.4
46.8
42.3
38.9
5.96.84.45.05.03.96.23.7
3.61.42.94.62.47.02.14.64.54.23.92.94.3
5.35.75.86.97.46.83.73.73.74.74.32.84.56.99.06.46.35.0
6.35.59.9
4.66.82.93.54.03.74.6
2.44.72.02.11.81.62.2
5.66.44.05.54.73.85.23.5
3.51.32.83.52.64.61.84.54.24.44.42.93.9
5.05.45.76.27.15.13.83.63.74.44.03.13.86.48.75.95.74.8
6.35.59.5
4.56.53.33.63.83.94.5
2.65.21.81.71.92.23.4
6.47.25.16.14.94.15.14.2
3.51.33.23.92.25.72.34.44.34.24.33.04.4
5.05.75.76.16.75.63.73.53.54.23.72.94.66.18.45.66.15.3
6.05.09.7
4.86.64.94.95.74.24.7
2.35.61.61.31.83.01.8
6.67.44.56.65.34.55.74.5
3.91.54.34.32.36.42.64.94.74.84.62.94.7
5.15.65.66.57.45.73.73.53.74.33.73.34.76.28.35.76.45.2
7.36.89.4
4.96.11.65.05.74.64.9
2.65.51.81.71.83.52.6
40.3
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
Industry
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
Transportation and public utilities
Railroad transportation:Class I railroads3
See footnotes at end of table.
1987SIC
Code
265265326562657267267226732677
272712722732731273227427527522759276278279
28281281928228212824283283428428412842,3284428528628652869287289
29291295
303013023053052306308
3131131431433144316317
4011
Average hourly earnings
Sept.1993
$11.5511.7111.3912.0111.8413.4711.3810.88
12.0911.9213.4211.4010.8911.9011.4012.2912.4211.8112.659.42
14.61
14.9716.8617.3415.3616.7613.8414.6614.6812.3915.9011.6510.6412.7817.8617.5018.0715.3013.71
18.7020.6314.27
10.6617.867.85
10.5510.7610.039.92
7.6910.097.297.846.797.836.92
13.67
16.88
Oct.1993
$11.4111.5111.3311.9911.8213.6011.1610.89
12.0411.9013.3411.2610.9311.6011.5612.2012.2811.8412.719.51
14.55
14.8916.5917.0815.2916.8213.6614.6814.7812.3015.7811.7110.5312.7417.8517.4518.0715.2813.61
18.5720.3914.12
10.6017.907.84
10.6010.8710.059.85
7.6710.007.287.816.677.656.86
13.66
17.01
Aug.1994
$11.8411.9811.4812.4612.0413.9011.4111.21
12.1212.0013.2211.3510.7511.9911.7312.3512.4811.8912.919.47
14.70
15.1216.7517.1715.5617.3213.4714.7214.6712.4315.8411.7810.9612.8918.2917.7718.5415.5014.10
18.7920.8314.22
10.6517.727.80
10.9111.1510.199.98
7.9510.607.467.887.107.877.43
13.86
16.63
Sept.1994P
$11.8511.9611.5512.4412.1914.2111.6411.37
12.2712.1113.4311.4810.9911.9511.8812.5112.5812.1512.989.61
14.80
15.3016.9517.3915.8817.7213.6614.7914.7812.6816.0911.7311.3513.0018.3417.8618.5815.6714.11
19.4621.4914.32
10.6617.547.71
10.9511.2110.2010.04
7.9510.627.518.126.897.917.23
13.93
16.53
Oct.1994P
$12.22
15.32
19.57
10.63
8.03
14.00
Average weekly earnings
Sept.1993
$501.27517.58480.66521.23502.02575.17491.62448.26
467.88395.74509.96461.70418.18509.32417.24497.75503.01471.22522.45373.97580.02
649.70740.15749.09689.66769.28614.50608.39604.82514.19683.70481.15434.11541.87828.70808.50838.45702.27586.79
824.67901.53659.27
443.46785.84302.23429.39450.84408.22413.66
295.30410.66277.02297.14253.95292.06265.73
544.07
771.42
Oct.1993
$502.04516.80481.53525.16497.62572.56469.84444.31
464.74392.70508.25456.03429.55486.04427.72491.66493.66470.05531.28374.69576.18
641.76726.64741.27675.82761.95587.38609.22608.94516.60673.81484.79442.26532.53808.61793.98816.76687.60579.79
850.51937.94653.76
444.14773.28329.28432.48458.71418.08412.72
296.83417.00275.91293.66254.13295.29272.34
545.03
806.27
Aug.1994
$524.51541.50499.38546.99506.88599.09471.23468.58
469.04393.60497.07467.62438.60498.78435.18497.71499.20481.55535.77377.85583.59
648.65743.70752.05679.97767.28579.21603.52595.60507.14646.27478.27449.36554.27826.71813.87836.15700.60609.12
817.37887.36662.65
448.37777.91328.38460.40489.49423.90418.16
306.87461.10281.99299.44267.67313.23276.40
557.17
776.62
Sept.1994P
$530.88544.18492.03561.04518.08613.87485.39470.72
479.76399.63510.34482.16446.19518.63440.75511.66512.01495.72543.86384.40593.48
657.90747.50756.47698.72797.40590.11610.83604.50512.27659.69473.89454.00560.30830.80817.99839.82717.69606.73
902.941,007.88
660.15
450.92771.76296.84464.28497.72429.42423.69
308.46459.85283.88306.94262.51314.82279.80
558.59
765.34
Oct.1994P
$477.80
664.89
915.88
449.65
312.37
564.20
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Transportation and public utilities—ContinuedLocal and interurban passenger transit
Local 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
General merchandise storesDepartment stores
See footnotes at end of table.
41411413
42421422
449
46
474724724473
484814813483484
49491492493495
505015025035045047505506507508509
51511512513514515516517518519
52521523525526
53531
33.438.538.4
39.239.140.9
35.6
41.4
37.136.236.137.9
39.841.341.434.639.9
42.442.242.942.542.8
38.1
38.738.237.339.938.838.240.138.238.639.437.2
37.336.137.136.738.435.840.137.237.036.3
28.8
36.638.636.732.233.2
29.629.8
34.238.439.4
39.239.041.8
36.2
44.7
37.236.036.038.2
39.441.041.134.238.9
42.542.043.543.042.9
38.3
38.938.538.140.139.038.240.738.438.839.637.5
37.536.637.037.038.137.440.138.036.836.7
28.8
36.538.336.332.233.9
29.129.2
35.037.937.9
40.039.940.3
36.4
43.1
37.336.035.938.9
39.941.741.934.339.3
41.841.642.241.442.6
38.3
39.038.537.240.339.038.240.938.538.839.538.0
37.536.836.636.838.535.139.737.837.336.6
29.7
36.738.536.632.533.5
30.230.2
34.138.238.9
39.739.740.3
35.7
44.4
37.135.735.638.6
39.741.541.634.639.3
42.342.143.041.943.0
38.4
39.038.637.440.439.138.340.838.738.739.537.7
37.736.837.237.138.736.139.838.236.736.8
29.0
36.538.436.432.032.9
30.130.3
38.8
29.1
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Transportation and public utilities—ContinuedLocal and interurban passenger transit
Local 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
General merchandise storesDepartment stores
See footnotes at end of table.
41411413
42421422
449
46
474724724473
484814813483484
49491492493495
505015025035045047505506507508509
51511512513514515516517518519
52521523525526
53531
$10.0010.7012.75
12.4412.649.94
17.81
19.65
11.1210.3210.2912.28
15.1015.8516.0414.5211.54
16.8117.4016.3820.1212.17
11.80
12.1710.6910.7511.2614.7013.2812.1212.6411.4912.049.52
11.3012.1213.4610.8211.498.41
13.2610.6712.999.58
7.32
8.749.069.297.497.72
7.307.28
$9.9710.6912.85
12.4812.699.90
17.57
19.98
11.0810.2610.2412.28
15.0215.7715.9714.3811.39
16.9917.6016.6120.3712.18
11.81
12.1910.7010.7811.3214.6613.2012.1012.7911.5212.139.52
11.3012.1713.5810.8011.538.37
13.3210.7212.889.56
7.36
8.749.059.367.487.72
7.317.29
$10.2610.7612.69
12.5612.7410.16
16.82
19.48
11.8011.1711.2412.84
15.3916.0816.4115.0211.85
17.1817.9916.6120.6312.14
11.96
12.3210.8610.8511.4814.8113.0312.2112.7611.7312.359.81
11.4711.8914.2610.9911.808.51
13.1810.7813.019.60
7.43
8.829.129.407.537.82
7.437.40
$10.1810.8412.53
12.7212.9210.17
17.86
20.12
11.8811.3111.4012.89
15.4616.2116.5515.0111.74
17.3518.0916.8420.8512.39
12.05
12.4510.9911.0411.6514.8413.1312.3013.0311.8112.529.90
11.5212.0414.3111.0511.828.58
13.2010.9513.099.67
7.53
8.949.259.517.667.93
7.437.41
$12.16
7.57
$334.00411.95489.60
487.65494.22406.55
634.04
813.51
412.55373.58371.47465.41
600.98654.61664.06502.39460.45
712.74734.28702.70855.10520.88
449.58
470.98408.36400.98449.27570.36507.30486.01482.85443.51474.38354.14
421.49437.53499.37397.09441.22301.08531.73396.92480.63347.75
210.82
319.88349.72340.94241.18256.30
216.08216.94
$340.97410.50506.29
489.22494.91413.82
636.03
893.11
412.18369.36368.64469.10
591.79646.57656.37491.80443.07
722.08739.20722.54875.91522.52
452.32
474.19411.95410.72453.93571.74504.24492.47491.14446.98480.35357.00
423.75445.42502.46399.60439.29313.04534.13407.36473.98350.85
211.97
319.01346.62339.77240.86261.71
212.72212.87
$359.10407.80480.95
502.40508.33409.45
612.25
839.59
440.14402.12403.52499.48
614.06670.54687.58515.19465.71
718.12748.38700.94854.08517.16
458.07
480.48418.11403.62462.64577.59497.75499.39491.26455.12487.83372.78
430.13437.55521.92404.43454.30298.70523.25407.48485.27351.36
220.67
323.69351.12344.04244.73261.97
224.39223.48
$347.14414.09487.42
504.98512.92409.85
637.60
893.33
440.75403.77405.84497.55
613.76672.72688.48519.35461.38
733.91761.59724.12873.62532.77
462.72
485.55424.21412.90470.66580.24502.88501.84504.26457.05494.54373.23
434.30443.07532.33409.96457.43309.74525.36418.29480.40355.86
218.37
326.31355.20346.16245.12260.90
223.64224.52
$471.81
220.29
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993 1994
Sept.1994P
Oct.1994P
Retail trade—ContinuedGeneral merchandise stores—Continued
Variety 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 places4
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 estate5
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 servicesVeterinary servicesLandscape and horticultural services
See footnotes at end of table.
533539
54541546
55551553554559
56561562565566
5757157257357315735
58
5959159359459659859959955999
6060260226021,9606
61614
628
636316326324633
07074078
27.929.4
29.930.128.6
35.937.138.033.133.5
26.328.923.827.426.8
33.233.434.532.632.428.1
25.0
29.727.931.828.134.537.230.932.931.7
35.6
35.034.835.434.435.6
37.737.8
35.8
37.637.238.137.937.3
32.3
34.128.436.5
27.529.0
29.529.628.7
36.137.438.033.333.0
26.329.023.927.526.8
33.233.334.332.632.127.8
25.2
29.527.732.327.933.838.630.932.831.7
35.7
35.034.935.434.535.5
38.137.9
36.1
37.837.438.438.237.4
32.4
34.128.436.6
28.630.6
30.530.629.1
36.137.138.533.334.2
27.329.224.828.527.7
33.333.434.532.932.727.9
26.3
30.528.832.529.534.537.431.333.432.0
35.5
35.134.835.334.535.9
37.137.9
37.4
37.437.237.637.337.4
32.7
34.829.636.8
27.730.1
29.829.928.6
35.636.837.732.833.7
26.228.824.127.126.7
33.333.234.533.333.428.4
25.2
29.828.331.928.134.437.731.133.331.6
35.4
34.934.835.234.435.7
37.137.4
37.1
37.637.237.837.637.8
32.4
34.628.837.0
36.3
32.8
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Retail trade—ContinuedGeneral merchandise stores—Continued
Variety 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 places4
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 estate5
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 servicesVeterinary servicesLandscape and horticultural services
See footnotes at end of table.
533539
54541546
55551553554559
56561562565566
5757157257357315735
58
5959159359459659859959955999
6060260226021,9606
61614
628
636316326324633
07074078
$6.648.08
7.837.926.91
9.7712.248.316.72
10.65
7.048.396.736.867.16
9.539.369.919.719.745.93
5.36
7.958.246.747.208.68
11.098.219.888.57
11.41
9.108.668.538.769.10
12.7410.04
15.88
13.2312.3812.6812.9914.20
10.83
8.598.268.76
$6.618.05
7.877.966.88
9.7812.178.356.74
10.71
7.078.366.726.847.37
9.559.369.839.779.795.95
5.38
8.018.246.797.358.54
11.288.209.958.55
11.52
9.158.738.598.849.14
12.7610.00
15.74
13.3712.6612.7413.0414.30
10.87
8.638.278.81
$7.148.00
7.877.977.03
10.0712.728.426.77
11.42
7.088.406.756.917.30
9.779.599.93
10.0210.065.96
5.46
8.128.376.817.458.90
11.218.39
10.588.62
11.73
9.368.958.819.079.25
12.2710.09
15.90
14.0113.3313.5513.9014.81
10.92
8.398.368.44
$7.137.93
7.978.077.11
10.2412.938.506.82
11.49
7.238.406.867.097.45
9.909.72
10.1310.1310.036.03
5.50
8.198.526.867.548.81
11.288.42
10.528.74
11.86
9.428.998.859.109.30
12.3810.17
16.15
14.0613.3113.5713.9114.92
11.12
8.598.548.65
$12.04
11.21
$185.26237.55
234.12238.39197.63
350.74454.10315.78222.43356.78
185.15242.47160.17187.96191.89
316.40312.62341.90316.55315.58166.63
134.00
236.12229.90214.33202.32299.46412.55253.69325.05271.67
406.20
318.50301.37301.96301.34323.96
480.30379.51
568.50
497.45460.54483.11492.32529.66
349.81
292.92234.58319.74
$181.78233.45
232.17235.62197.46
353.06455.16317.30224.44353.43
185.94242.44160.61188.10197.52
317.06311.69337.17318.50314.26165.41
135.58
236.30228.25219.32205.07288.65435.41253.38326.36271.04
411.26
320.25304.68304.09304.98324.47
486.16379.00
568.21
505.39473.48489.22498.13534.82
352.19
294.28234.87322.45
$204.20244.80
240.04243.88204.57
363.53471.91324.17225.44390.56
193.28245.28167.40196.94202.21
325.34320.31342.59329.66328.96166.28
143.60
247.66241.06221.33219.78307.05419.25262.61353.37275.84
416.42
328.54311.46310.99312.92332.08
455.22382.41
594.66
523.97495.88509.48518.47553.89
357.08
291.97247.46310.59
$197.50238.69
237.51241.29203.35
364.54475.82320.45223.70387.21
189.43241.92165.33192.14198.92
329.67322.70349.49337.33335.00171.25
138.60
244.06241.12218.83211.87303.06425.26261.86350.32276.18
419.84
328.76312.85311.52313.04332.01
459.30380.36
599.17
528.66495.13512.95523.02563.98
360.29
297.21245.95320.05
$437.05
367.69
111
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Services—ContinuedHotels and other lodging places:
Hotels and motels4
Personal services:Laundry, cleaning, and garment servicesBeauty shops4
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, nsc
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 facilitiesHospitalsHome health care services
Legal services
See footnotes at end of table.
701
721723729
73731
733473473427349735735273537359
7363737737173737375737873873817382
7575175147527537532,475387547542
76
78781784
7979379979917997
808018028048058052806808
81
31.3
33.828.324.4
32.436.8
37.028.637.627.739.438.240.239.4
29.737.838.337.939.039.233.233.436.7
36.437.336.233.538.337.138.331.129.3
37.9
28.339.123.0
27.124.327.217.928.8
32.732.228.029.732.431.634.527.7
34.4
31.2
34.128.624.9
32.836.8
37.128.837.928.039.738.640.439.7
30.738.138.537.938.639.233.533.536.9
36.537.035.934.138.437.538.231.128.7
38.1
28.539.222.8
26.624.226.418.028.6
32.732.328.129.732.031.334.527.8
34.6
31.9
33.928.425.9
33.136.4
38.128.737.527.939.537.341.739.4
31.937.337.537.436.139.133.534.035.9
36.837.236.733.938.437.638.032.330.8
38.4
30.038.722.9
28.324.628.719.229.4
32.832.228.229.932.332.034.728.4
34.6
30.9
33.628.224.5
33.036.4
37.528.537.627.739.037.241.038.8
31.637.437.837.335.739.333.634.036.1
36.336.235.833.338.237.237.932.030.7
38.3
29.638.422.7
26.124.425.918.528.5
32.832.327.929.832.532.134.628.2
34.4
112
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Services—ContinuedHotels and other lodging places:
Hotels and motels4
Personal services:Laundry, cleaning, and garment servicesBeauty shops4
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 facilitiesHospitalsHome health care services
Legal services
See footnotes at end of table.
701
721723729
73731
733473473427349735735273537359
7363737737173737375737873873817382
7575175147527537532,475387547542
76
78781784
7979379979917997
808018028048058052806808
81
$7.59
7.247.927.84
10.2015.25
9.607.499.837.20
10.7610.7314.419.71
8.2716.5419.1917.0414.5113.618.786.87
10.97
9.389.378.526.95
10.3410.8010.386.916.06
11.09
12.4318.505.64
8.316.557.727.897.92
11.8811.9811.5210.438.267.73
13.5910.54
15.20
$7.63
7.247.867.81
10.1215.31
9.697.479.807.20
10.7010.4214.359.69
8.1816.6019.4317.3214.4113.678.696.78
10.98
9.409.348.366.86
10.3910.9710.426.946.13
11.15
12.7718.715.60
8.666.558.057.828.09
11.8712.0011.6410.468.277.71
13.5510.46
15.31
$7.52
7.348.198.04
10.3115.59
9.907.459.787.17
10.8610.3114.449.88
8.43117.0019.8918.1114.6813.908.927.01
10.96
9.609.328.476.98
10.6811.2310.727.076.16
11.31
13.2619.235.70
7.936.817.377.837.74
12.0912.2311.9610.698.457.76
13.8410.64
15.55
$7.761
7.378.268.01
10.3915.54
10.017.499.787.21
10.9510.3914.539.97
8.4717.1719.9618.3514.7314.079.017.06
10.90
9.669.498.517.15
10.7211.3010.797.086.25
11.37
14.2219.945.75
8.736.678.068.118.20
12.1912.2512.0710.848.547.92
13.9710.77
15.71
$237.57
244.71224.14191.30
330.48561.20
355.20214.21369.61199.44423.94409.89579.28382.57
245.62625.21734.98645.82565.89533.51291.50229.46402.60
341.43349.50308.42232.83396.02400.68397.55214.90177.56
420.31
351.77723.35129.72
225.20159.17209.98141.23228.10
388.48385.76322.56309.77267.62244.27468.86291.96
522.88
$238.06
246.88224.80194.47
331.94563.41
359.50215.14371.42201.60424.79402.21579.74384.69
251.13632.46748.06656.43556.23535.86291.12227.13405.16
343.10345.58300.12233.93398.98411.38398.04215.83175.93
$239.89
248.83232.60208.24
341.26567.48
377.19213.82366.75200.04428.97384.56602.15389.27
268.92634.10745.88677.31529.95543.49298.82238.34393.46
353.28346.70310.85236.62410.11422.25407.36228.36189.73
424.82 | 434.30I
363.95733.43127.68
397.80744.20130.53
230.36 224.42158.51 | 167.53212.52 I 211.52140.76231.37
388.15387.60327.08310.66264.64241.32467.48290.79
529.73
150.34227.56
396.55393.81337.27319.63272.94248.32480.25302.18
538.03
$239.78
247.63232.93196.25
342.87565.66
375.38213.47367.73199.72427.05386.51595.73386.84
267.65642.16754.49684.46525.86552.95302.74240.04393.49
350.66343.54304.66238.10409.50420.36 |408.94 !226.56 |191.88 |
435.47 ||
420.91 |765.70 |130.53 I
227.85 I162.75 i208.75 |150.04 I233.70
399.83 |395.68 j336.75 |323.03 |277.55 I254.23 |483.36303.71
540.42
113
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average overtime hours
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Services—ContinuedSocial services
Individual 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.
83832833835836839
862
87871871187128713872873873187328733874874187428743
89
31.132.130.529.232.031.1
34.8
36.938.939.038.038.835.836.539.229.436.235.534.536.233.3
35.9
31.231.930.729.731.831.9
35.1
37.039.039.238.039.035.936.738.829.836.835.734.436.333.0
36.1
31.031.630.229.731.930.5
35.1
37.039.039.138.438.836.236.338.828.936.535.634.635.732.3
39.2
31.231.931.329.332.031.2
34.6
37.038.939.038.438.736.136.238.928.836.336.135.036.132.1
38.3
114
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Services—ContinuedSocial services
Individual 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
83832833835836839
862
87871871187128713872873873187328733874874187428743
89
$7.938.487.796.718.109.01
15.14
15.1216.2916.9014.9911.5713.1216.2018.2212.7417.6214.0312.6616.5213.84
15.79
$7.938.467.806.728.109.05
15.30
15.2216.4017.0115.1311.6213.1216.3918.4112.4418.3314.1412.7016.6913.56
15.73
$8.068.557.946.668.329.38
15.50
15.2516.4217.1214.8111.7213.4216.1918.3311.9117.7714.1612.9816.3713.22
14.42
$8.208.718.136.928.409.51
15.66
15.4116.6017.2715.0911.9713.6016.3718.5411.9018.0514.2812.9916.6213.41
14.94
$246.62272.21237.60195.93259.20280.21
526.87
557.93633.68659.10569.62448.92469.70591.30714.22374.56637.84498.07436.77598.02460.87
566.86
$247.42269.87239.46199.58257.58288.70
537.03
563.14639.60666.79574.94453.18471.01601.51714.31370.71674.54504.80436.88605.85447.48
567.85
$249.86270.18239.79197.80265.41286.09
544.05
564.25640.38669.39568.70454.74485.80587.70711.20344.20648.61504.10449.11584.41427.01
565.26
$255.84277.85254.47202.76268.80296.71
541.84
570.17645.74673.53579.46463.24490.96592.59721.21342.72655.22515.51454.65599.98430.46
572.20
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 See table B-15a for average hourly earnings in aircraft (SIC 3721) andguided missiles and space vehicles (SIC 3761) manufacturing.
3 Data relate to line-haul railroads with operating revenues of$50,000,000 or more.
4 Money payments only; tips, not included.5 Excludes nonoffice commissioned real estate sales agents.- Data not available.p = preliminary.NOTE: Establishment survey estimates are currently projected from
March 1993 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1993 forward are subject torevision.
115
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 of Employment 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.1993
$18.42
19.16
Sept.1993
$18.49
19.24
Aug.1994
$19.66
19.77
Sept.1994P
$19.67
19.77
Guided missiles and space vehicles (SIC 3761)
Aug.1993
$17.43
17.46
Sept.1993
$17.71
17.74
Aug.1994
$18.45
18.50
Sept.1994P
$18.64
18.70
= preliminary.
116
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
$11.24
11.819.239.01
11.2813.3011.2112.1510.8015.0911.919.07
10.529.86
15.708.476.97
12.7711.5514.1217.4410.107.45
$11.19
11.759.219.01
11.1713.1411.1212.1310.7615.0411.909.02
10.479.78
15.448.486.95
12.7311.5214.0817.3710.057.42
$11.35
11.919.329.16
11.3513.3211.2012.1610.9615.3911.999.26
10.629.94
17.538.637.15
12.9211.5914.3017.5710.087.71
$11.45
12.019.399.26
11.4313.3111.2912.2511.0015.5612.029.30
10.699.95
17.528.707.21
13.0411.6814.4418.0410.087.70
$11.44
11.98
$10.72
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 1993 benchmark levels. When more recent benchmarkdata are introduced, all unadjusted data from April 1993 forward aresubject to revision.
117
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.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
Average weekly earnings
Sept.1993
Oct.1993
Aug.1994
Sept.1994P
Oct.1994P
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
$10.917.41
14.549.88
14.529.86
11.858.05
13.679.29
11.808.02
7.324.97
11.417.75
10.837.36
$10.947.40
14.479.78
14.559.84
11.807.98
13.669.24
11.817.99
7.364.98
11.527.79
10.877.35
$11.047.30
14.699.72
14.769.76
12.017.94
13.869.17
11.967.91
7.434.91
11.737.76
10.927.22
$11.217.39
14.919.84
14.949.85
12.148.01
13.939.19
12.057.95
7.534.97
11.867.82
11.127.34
$11.26
$14.89
$15.00
$12.11
$14.00
$12.16
$7.57
$12.04
$11.21
$376.40255.71
647.03439.56
556.12377.80
491.78334.09
544.07369.61
449.58305.42
210.82143.22
406.20275.95
349.81237.64
$378.52255.93
658.39445.16
571.82386.63
493.24333.50
545.03368.51
452.32305.83
211.97143.32
411.26278.07
352.19238.13
$385.30254.83
662.52438.17
585.97387.55
504.42333.61
557.17368.50
458.07302.96
220.67145.95
416.42275.41
357.08236.16
$390.11257.33
678.41447.50
596.11393.21
514.74339.54
558.59368.46
462.72305.22
218.37144.04
419.84276.94
360.29237.66
$394.10
$680.47
$591.00
$512.25
$564.20
$471.81
$220.29
$437.05
$367.69
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 March1993 benchmark levels. When more recent benchmark data areintroduced, all unadjusted data from April 1993 forward are subject torevision.
118
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 selectedareas
State and area
Average weekly hours
Sept.1993
Aug.1994
Sept.1994P
Average hourly earnings
Sept.1993
Aug.1994
Sept.1994P
Average weekly earnings
Sept.1993
Aug.1994
Sept.1994?
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-MeridenStamford-NorwalkWaterbury
DelawareWilmington-Newark
District of Columbia:
Washington PMSA
Florida
GeorgiaAtlantaSavannah
Hawaii
Honolulu
Idaho
IllinoisBloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock IslandDecaturKankakeePeoria-PekinRockfordSpringfield
IndianaBloomingtonElkhart-GoshenEvansville-HendersonFort Wayne
See footnotes at end of table.
41.741.443.2
47.6
40.6
41.642.040.842.042.8
40.940.242.141.342.341.540.540.841.039.340.140.041.038.840.244.041.240.0
41.341.7
42.141.443.342.140.643.742.6
43.144.7
40.4
41.0
42.042.044.2
39.737.7
40.2
41.543.841.541.541.242.441.242.541.940.8
42.544.539.142.842.4
41.641.142.4
52.6
41.7
42.542.341.842.542.6
41.539.342.141.643.042.340.941.740.940.840.140.641.341.439.644.439.540.0
41.041.0
42.742.243.543.141.941.944.9
42.344.4
40.8
41.2
42.542.446.7
37.237.4
39.7
42.043.540.442.141.142.541.941.342.939.8
43.144.840.347.142.9
41.941.643.8
52.0
41.7
42.842.841.043.242.5
41.740.740.742.041.943.042.141.640.839.940.240.440.840.741.045.641.941.2
41.942.6
43.142.642.843.642.641.844.6
41.844.1
40.7
41.3
42.542.547.2
37.837.3
38.9
42.043.440.642.041.042.441.641.443.339.1
43.344.440.646.042.7
$10.4911.3612.77
11.29
11.10
9.449.259.48
10.1810.78
12.4712.5111.1011.6411.9614.6412.4111.2613.0312.8212.5013.6914.8813.0013.2011.9914.7511.56
12.1913.02
13.2513.7913.0014.2912.8212.9311.60
13.5715.85
13.15
9.86
10.2011.1813.03
11.9712.66
12.02
12.0616.1610.4612.1213.8915.3712.8814.8312.8711.79
13.4311.6811.3312.8913.40
$10.6611.6813.07
10.92
10.89
9.729.589.69
10.4811.33
12.4612.5410.8511.6511.9015.5712.3411.3913.0312.8112.4813.7115.2212.4713.7612.0514.8711.85
12.2812.56
13.4813.7013.0913.9812.6513.2412.17
13.9316.35
13.63
9.93
10.2911.4213.47
12.3112.88
11.63
12.2717.2310.8112.2413.8814.4213.2914.8813.7411.78
13.6812.0011.1412.8814.14
$10.7411.6613.11
10.67
11.04
9.749.629.59
10.5211.46
12.5312.4210.9611.6912.1414.9212.4911.5313.2512.9512.4913.7616.4212.8513.7211.9513.9011.95
12.3112.51
13.5713.8313.2514.1112.8213.0512.14
13.7116.22
13.40
9.93
10.3811.5413.35
12.2912.90
11.84
12.3117.2510.7812.2913.8914.4113.3214.9913.7911.86
13.6812.0211.4312.9213.90
$437.43470.30551.66
537.40
450.66
392.70388.50386.78427.56461.38
510.02502.90467.31480.73505.91607.56502.61459.41534.23503.83501.25547.60610.08504.40530.64527.56607.70462.40
503.45542.93
557.83570.91562.90601.61520.49565.04494.16
584.87708.50
531.26
404.26
428.40469.56575.93
475.21477.28
483.20
500.49707.81434.09502.98572.27651.69530.66630.28539.25481.03
570.78519.76443.00551.69568.16
$443.46480.05554.17
574.39
454.11
413.10405.23405.04445.40482.66
517.09492.82456.79484.64511.70658.61504.71474.96532.93522.65500.45556.63628.59516.26544.90535.02587.37474.00
503.48514-96
575.60578.14569.42602.54530.04554.76546.43
589.24725.94
556.10
409.12
437.33484.21629.05
457.93481.71
461.71
515.34749.51436.72515.30570.47612.85556.85614.54589.45468.84
589.61537.60448.94606.65606.61
$450.01485.06574.22
554.84
460.37
416.87411.74393.19454.46487.05
522.50505.49446.07490.98508.67641.56525.83479.65540.60516.71502.10555.90669.94523.00562.52544.92582.41492.34
515.79532.93
584.87589.16567.10615.20546.13545.49541.44
573.08715.30
545.38
410.11
441.15490.45630.12
464.56481.17
460.58
517.02748.65437.67516.18569.49610.98554.11620.59597.11463.73
592.34533.69464.06594.32593.53
119
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 selectedareas—Continued
State and area
Average weekly hours
Sept.1993
Aug.1994
Sept.1994P
Average hourly earnings
Sept.1993
Aug.1994
Sept.1994P
Average weekly earnings
Sept.1993
Aug.1994
Sept.
Indiana-ContinuedGaryIndianapolisKokomoLafayetteMuncieSouth 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.
44.142.545.641.043.341.447.8
41.941.442.441.442.0
41.743.041.6
40.441.341.0
42.243.342.240.9
41.444.340.0
41.041.3
41.340.842.940.7
43.243.844.344.941.943.343.840.342.7
41.539.141.839.7
41.341.1
41.342.442.141.4
38.9
42.140.942.7
40.040.4
43.143.847.542.446.341.942.7
42.743.042.942.041.7
41.443.141.0
41.442.742.2
43.143.343.743.0
40.241.339.3
41.742.5
41.540.942.941.4
45.145.247.052.042.644.443.744.445.8
41.240.741.640.9
41.740.8
42.443.042.541.7
39.4
42.944.142.2
40.539.7
43.443.249.142.846.340.645.0
43.243.444.842.842.0
41.041.640.6
41.643.242.2
43.943.145.143.7
40.941.139.8
41.542.1
41.541.142.741.7
45.845.547.951.543.544.243.345.246.8
41.439.942.340.4
42.141.3
43.043.344.441.8
40.8
43.743.742.2
40.037.8
$17.4814.7718.6713.9614.9912.2213.29
12.4915.5613.6212.5910.00
12.2014.4414.01
11.5112.0013.11
12.9115.3013.2514.42
11.709.69
10.58
12.9813.64
12.4013.0912.7211.47
15.6016.2316.8221.0212.9211.0014.8616.3817.88
12.2612.0113.1411.04
9.229.83
11.7413.5713.989.96
12.84
10.5912.0311.17
11.8813.07
$18.0114.4618.9414.4315.6812.2813.18
12.2515.4412.7413.1410.24
12.0214.8514.11
12.0013.1213.87
13.0515.9113.4113.80
11.709.47
10.75
13.1913.85
12.6113.3212.5611.71
16.1216.7317.2322.6513.0511.5614.8517.3517.48
12.4211.7613.2211.52
9.349.94
11.6113.5213.719.99
12.59
11.0312.7611.85
11.8113.32
$18.2014.4018.8013.9315.6712.3912.80
12.3915.2713.0313.1710.47
12.2415.0414.11
12.1813.1114.01
13.1816.1613.6013.56
11.969.70
10.90
13.1813.95
12.6613.3512.5111.69
16.3316.8517.5922.7813.1111.4515.1017.5617.90
12.5012.1513.3111.25
9.4010.07
11.7913.4113.809.94
13.06
11.0312.8511.82
12.0613.56
$770.87627.73851.35572.36649.07505.91635.26
523.33644.18577.49521.23420.00
508.74620.92582.82
465.00495.60537.51
544.80662.49559.15589.78
484.38429.27423.20
532.18563.33
512.12534.07545.69466.83
673.92710.87745.13943.80541.35476.30650.87660.11763.48
508.79469.59549.25438.29
380.79404.01
484.86575.37588.56412.34
499.48
445.84492.03476.96
475.20528.03
$776.23633.35899.65611.83725.98514.53562.79
523.08663.92546.55551.88427.01
497.63640.04578.51
496.80560.22585.31
562.46688.90586.02593.40
470.34391.11422.47
550.02588.63
523.32544.79538.82484.79
727.01756.20809.811177.80555.93513.26648.94770.34800.58
511.70478.63549.95471.17
389.48405.55
492.26581.36582.68416.58
496.05
473.19562.72500.07
478.31528.80
$789.88622.08923.08596.20725.52503.03576.00
535.25662.72583.74563.68439.74
501.84625.66572.87
506.69566.35591.22
578.60696.50613.36592.57
489.16398.67433.82
546.97587.30
525.39548.69534.18487.47
747.91766.67842.56
1173.17570.28506.09653.83793.71837.72
517.50484.79563.01454.50
395.74415.89
506.97580.65612.72415.49
532.85
482.01561.55498.80
482.40512.57
120
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 selectedareas—Continued
State and area
Average weekly hours
Sept.1993
Aug.1994
Sept.1994P
Average hourly earnings
Sept.1993
Aug. Sept.1994P
Average weekly earnings
Sept.1993
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-SpringfieldToledoYoungstown-Warren
OklahomaOklahoma CityTulsa
OregonEugene-SpringfieldMedford-AshlandPortland-VancouverSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphia PMSAPittsburghReadingScranton—Wilkes-Barre—HazletonSharonState CollegeWilliamsportYork
See footnotes at end of table.
42.241.641.142.3
41.6
42.241.0
40.241.040.643.240.342.238.937.837.439.040.542.641.741.940.5
41.039.541.840.041.8
41.441.8
43.242.941.343.043.242.342.545.143.4
41.643.740.3
39.439.540.640.438.7
41.240.240.242.940.839.640.741.042.341.639.343.840.242.342.9
42.542.741.941.5
42.1
41.140.3
40.841.142.143.441.044.740.038.438.141.242.042.442.841.040.3
41.541.841.841.441.2
43.442.6
43.543.941.343.943.541.745.544.443.8
42.843.341.6
40.539.340.640.839.8
42.140.741.645.640.640.340.541.843.143.040.845.740.842.943.3
42.543.342.240.8
42.1
42.341.0
40.841.241.644.341.243.540.037.837.441.343.041.643.641.741.2
41.641.841.641.141.2
43.340.7
44.043.942.344.643.941.946.145.244.1
43.043.342.2
40.841.139.441.639.2
42.140.941.845.340.838.941.341.943.242.740.746.340.043.742.9
$11.6711.6014.5011.10
13.03
9.5310.34
12.1113.669.89
14.9411.0911.4211.4710.8210.5310.3313.9913.9713.2410.9812.21
9.849.79
10.5810.3510.61
10.129.71
14.1812.8012.5713.0213.9613.3015.0915.8716.01
11.3211.8812.45
12.1812.1111.9212.569.65
12.2211.5410.1012.9211.579.31
12.0113.4613.2812.6510.6812.2910.4710.4212.47
$11.4511.6613.9911.18
13.25
9.9110.57
12.1513.9310.1215.4510.4611.4111.2110.8910.6410.7913.9013.9613.0010.9311.93
10.1910.0210.8210.7211.02
10.249.63
14.3012.5312.4113.2414.0813.3715.7915.6516.31
11.1412.4411.91
12.1412.6712.0912.779.46
12.4711.9310.5813.3011.899.12
12.4213.6913.4613.1710.8712.4910.7211.1612.56
$11.5711.9313.8211.40
13.26
9.8710.63
12.2914.1310.1915.6310.3411.3711.3511.0010.7211.0814.0314.2013.1910.8712.20
10.2410.0510.8910.8011.02
10.339.88
14.4612.4712.5313.5014.3113.3915.9016.0116.50
11.3312.75 I12.09 I
12.3112.2211.9112.939.27
12.5212.0310.7713.3411.819.17
12.4513.7313.4413.2010.9312.5410.7611.1712.58
$492.47482.56595.95469.53
542.05
402.17423.94
486.82560.06401.53645.41446.93481.92446.18409.00393.82402.87566.60595.12552.11460.06494.51
403.44386.71442.24414.00443.50
418.97405.88
612.58549.12519.14559.86603.07562.59641.33715.74694.83
470.91519.16501.74
479.89478.35483.95507.42373.46
503.46463.91406.02554.27472.06368.68488.81551.86561.74526.24419.72538.30420.89440.77534.96
$486.63497.88586.18463.97
557.83
407.30425.97
495.72572.52426.05670.53428.86510.03448.40418.18405.38444.55583.80591.90556.40448.13480.78
422.89418.84452.28443.81454.02
444.42410.24
622.05550.07512.53581.24
| 612.48557.53718.45694.86714.38
476.79538.65495.46
491.67497.93490.85521.02376.51
524.99485.55440.13606.48482.73367.54503.01572.24580.13566.31443.50570.79437.38478.76543.85
$491.73516.57583.20465.12
558.25
417.50435.83
501.43582.16423.90692.41426.01494.60454.00415.80400.93457.60603.29590.72575.08453.28502.64
425.98420.09453.02443.88454.02
447.29402.12
636.24547.43530.02602.10628.21561.04732.99723.65727.65
487.19552.08510.20
502.25502.24469.25537.89363.38
527.09492.03450.19604.30481.85356.71514.19575.29580.61563.64444.85580.60430.40488.13539.68
121
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 selectedareas—Continued
State and area
Average weekly hours
Sept.1993
Aug.1994
Sept.1994P
Average hourly earnings
Sept.1993
Aug.1994
Sept.1994P
Average weekly earnings
Sept.1993
Aug.1994
Sept.1994P
Rhode Island
Providence-Fall River-Warwick .
South Carolina
South DakotaRapid CitySioux Falls
TennesseeChattanoogaJohnson City-Kingsport-Bristol..KnoxvilleMemphisNashville
TexasDallasFt, Worth-ArlingtonHoustonSan Antonio
UtahSalt Lake City-Ogden
VermontBurlington
VirginiaBristolCharlottesvilleDanvilleLynchburgNorthern VirginiaRichmond-PetersburgRoanoke
Washington
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
Wyoming
Puerto Rico
Virgin Islands
40.139.9
41.5
42.040.142.7
40.539.839.339.941.341.0
43.043.642.844.341.1
40.441.4
40.841.1
41.540.740.042.142.441.742.742.4
40.3
41.147.641.140.341.2
42.744.540.942.343.840.138.542.441.840.244.044.5
39.3
39.7
46.2
39.439.3
41.6
40.939.642.4
40.241.737.639.841.439.8
43.243.342.644.042.9
41.042.5
40.440.2
42.038.838.843.042.241.043.241.4
40.3
41.549.241.941.839.1
42.944.444.342.146.040.642.642.241.940.945.244.0
40.4
40.0
43.5
41.541.1
41.6
42.441.943.6
40.541.538.239.741.240.6
43.343.342.945.041.7
41.042.1
40.639.3
42.540.340.043.642.542.343.641.8
40.7
41.847.942.642.639.4
43.445.046.042.845.740.041.444.142.540.844.244.1
39.3
40.1
43.1
$10.4110.40
9.87
9.049.419.23
10.579.96
10.5410.4310.6511.64
11.0210.7712.4313.578.52
11.2011.36
11.7711.56
10.949.739.78
10.8810.6912.2413.9512.69
13.94
12.3415.0114.4814.7014.49
12.1713.2412.1712.7915.3912.8710.7711.4813.3712.1312.2912.09
12.02
7.09
15.16
$10.5010.65
10.05
9.159.639.76
10.499.929.95
10.3110.9711.29
11.1110.8912.6213.568.95
11.3411.56
11.5911.44
11.1810.1410.3411.1210.9012.1514.6310.97
14.05
12.4814.5314.5614.8514.38
12.1813.4012.4812.9816.7613.5910.1111.5213.5312.0912.0711.76
11.95
7.30
15.02
$10.2810.64
10.07
9.319.679.89
10.7110.089.95
10.1910.9511.16
11.1711.0112.4713.649.00
11.4511.76
11.6011.36
11.3010.2610.3411.0410.9712.2614.9811.64
14.28
12.5214.8214.2515.4014.64
12.3513.5612.9013.0516.9713.949.89
11.6313.5812.7512.3112.03
11.70
7.34
15.49
$417.44414.96
409.61
379.68377.34394.12
428.09396.41414.22416.16439.85477.24
473.86469.57532.00601.15350.17
452.48470.30
480.22475.12
454.01396.01391.20458.05453.26510.41595.67538.06
561.78
507.17714.48595.13592.41
519.66589.18497.75541.02674.08516.09414.65486.75558.87487.63540.76538.01
472.39
281.47
700.39
$413.70418.55
418.08
374.24381.35413.82
421.70413.66374.12410.34454.16449.34
479.95471.54537.61596.64383.96
464.94491.30
468.24459.89
469.56393.43401.19478.16459.98498.15632.02454.16
566.22
517.92714.88610.06620.73562.26
522.52594.96552.86546.46770.96551.75430.69486.14566.91494.48545.56517.44
482.78
292.00
653.37
$426.62437.30
418.91
394.74405.17431.20
433.76418.32380.09404.54451.14453.10
483.66476.73534.96613.80375.30
469.45495.10
470.96446.45
480.25413.48413.60481.34466.23518.60653.13486.55
581.20
523.34709.88607.05656.04576.82
535.99610.20593.40558.54775.53557.60409.45512.88577.15520.20544.10530.52
459.81
294.33
667.62
p = preliminary.NOTE: Area definitions are published annually in the May issue of this
publication. All State and area data have been adjusted to March 1993benchmarks.
122
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
1993
Oct. Nov. Dec.
1994
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.
39,59625,56223,754
1,8077.1
10,2187,0556,599
4576.5
29,35818,50617,1551,351
7.3
66,91144,40041,547
2,8536.4
35,12823,03221,608
1,4256.2
11,9907,4757,024
4516.0
20,77913,89212,915
9777.0
39,59925,52723,772
1,7556.9
10,2196,9796,547
4326.2
29,36318,54817,2251,323
7.1
66,98944,57741,7902,787
6.3
35,17123,08121,740
1,3415.8
12,0027,4957,055
4405.9
20,80614,00112,995
1,0067.2
39,60125,46923,734
1,7356.8
10,2216,9636,541
4236.1
29,36618,50617,193
1,3137.1
67,05744,56741,9072,660
6.0
35,21223,13221,783
1,3505.8
12,0157,5227,111
4115.5
20,83213,91213,013
8996.5
39,69625,46423,765
1,7006.7
10,2216,9776,518
4596.6
29,47518,48817,2471,241
6.7
68,13644,90742,067
2,8406.3
35,25123,22521,750
1,4756.3
12,0277,6567,178
4786.2
20,85814,02713,139
8886.3
39,69725,37923,677
1,7026.7
10,2197,0316,588
4446.3
29,47818,34717,0891,258
6.9
68,20644,88242,040
2,8426.3
35,28823,28121,902
1,3795.9
12,0387,5997,109
4906.4
20,88114,00213,029
9736.9
39,69525,62223,794
1,8287.1
10,2167,0006,592
4075.8
29,47918,62317,202
1,4217.6
68,27344,68841,854
2,8346.3
35,32223,19721,777
1,4206.1
12,0477,5977,190
4075.4
20,90313,89412,8871,007
7.2
39,70025,41023,637
1,7737.0
10,2166,9096,519
3905.6
29,48418,50017,1171,383
7.5
68,34744,98342,238
2,7456.1
35,36023,23921,847
1,3916.0
12,0597,7187,294
4235.5
20,92714,02713,097
9306.6
39,70425,25023,652
1,5986.3
10,2156,8796,473
40C5.9
29,48818,37117,1791,191
6.5
68,42045,13642,459
2,6775.9
35,39923,29821,937
1,3615.8
12,0697,8197,423
3955.1
20,95114,01913,099
9216.6
39,71525,48823,848
1,6406.4
10,2176,9116,509
4025.8
29,49818,57817,3391,239
6.7
68,50644,93542,289
2,6465.9
35,44523,29522,013
1,2835.5
12,0837,6707,246
4245.5
20,97813,96913,030
9396.7
39,72025,70824,008
1,6996.6
10,2167,0046,571
4336.2
29,50418,70317,4371,266
6.8
68,58845,09442,434
2,6605.9
35,48723,23321,941
1,2915.6
12,0957,6967,269
4275.6
21,00614,16513,224
9416.6
39,73225,54823,904
1,6456.4
10,2176,9496,517
4326.2
29,51518,59917,3861,213
6.5
68,67445,25442,645
2,6095.8
35,53223,35322,138
1,2155.2
12,1087,7417,296
4455.8
21,03314,15913,211
9486.7
39,74925,43023,859
1,5716.2
10,2216,9446,569
3755.4
29,52818,48617,290
1,1966.5
68,76645,51142,904
2,6075.7
35,58023,62622,291
1,3345.6
12,1237,7707,362
4085.3
21,06314,11513,251
8646.1
39,75725,40823,821
1,5876.2
10,2206,9206,515
4055.9
29,53718,48817,3061,182
6.4
68,85345,73543,118
2,6175.7
35,62423,63422,359
1,2755.4
12,1377,9667,511
4545.7
21,09214,13513,247
8876.3
123
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
1993
Oct. Nov. Dec.
1994
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
46,28731,50029,632
1,8685.9
32,51621,85720,464
1,3936.4
13,4429,6439,168
4754.9
41,35727,91425,723
2,1917.8
11,0197,4327,009
4245.7
30,90920,48218,714
1,7678.6
46,31731,61429,792
1,8225.8
32,53521,98820,621
1,3676.2
13,4529,6269,171
4554.7
41,41527,93625,8482,088
7.5
11,0457,4727,055
4175.6
30,93720,46418,793
1,6718.2
46,34631,69629,880
1,8155.7
32,55322,11820,770
1,3496.1
13,4599,5779,111
4664.9
41,46928,03725,9972,041
7.3
11,0717,4877,107
3805.1
30,96320,55018,889
1,6618.1
46,03831,71029,819
1,8916.0
32,57022,12920,711
1,4186.4
13,4689,5819,108
4734.9
42,08328,58926,3022,287
8.0
11,0967,6227,232
3905.1
30,98720,96719,0701,897
9.0
46,05431,93130,188
1,7435.5
32,58222,33020,995
1,3356.0
13,4739,6019,193
4084.3
42,13328,60026,433
2,1677.6
11,1237,7947,394
4005.1
31,01020,80619,038
1,7678.5
46,06931,76829,929
1,8385.8
32,59122,23620,886
1,3506.1
13,4789,5329,044
4885.1
42,17528,51526,4562,059
7.2
11,1467,8027,408
3955.1
31,02920,71319,049
1,6648.0
46,09331,76430,100
1,6645.2
32,60822,18220,940
1,2435.6
13,4859,5829,161
4214.4
42,22228,41126,2182,193
7.7
11,1707,8007,392
4085.2
31,05220,61118,826
1,7858.7
46,11631,88630,371
1,5144.7
32,62222,18720,992
1,1955.4
13,4939,6989,380
3193.3
42,27128,45826,3902,068
7.3
11,1957,7677,348
4195.4
31,07520,69119,042
1,6498.0
46,14531,70530,273
1,4324.5
32,64322,04920,973
1,0764.9
13,5029,6569,300
3563.7
42,32728,07126,000
2,0717.4
11,2227,6377,229
4075.3
31,10520,43418,7701,664
8.1
46,17031,59029,903
1,6875.3
32,66021,96020,649
1,3116.0
13,5109,6309,254
3773.9
42,38128,27126,1872,084
7.4
11,2517,6997,290
4095.3
31,13020,57218,897
1,6758.1
46,20231,72130,116
1,6065.1
32,68221,95120,743
1,2085.5
13,5209,7719,373
3984.1
42,43628,70326,545
2,1587.5
11,2777,9327,476
4565.8
31,15920,77119,070
1,7028.2
46,23731,89730,307
1,5905.0
32,70622,16020,979
1,1815.3
13,5319,7379,328
4094.2
42,49628,61026,595
2,0167.0
11,3057,8507,409
4425.6
31,19120,76019,186
1,5747.6
46,26632,11330,503
1,6095.0
32,72622,33021,111
1,2195.5
13,5409,7839,392
3914.0
42,55328,68926,771
1,9176.7
11,3337,8737,444
4295.4
31,22020,81619,327
1,4897.2
1 These estimates may differ from the results obtained from summing theofficial State estimates produced and published through the Local AreaUnemployment Statistics (LAUS) program.
2 The population figures are not adjusted for seasonal variation.NOTE: The States (including the District of Columbia) that compose the
various census divisions are: New England: Connecticut, Maine,Massachusetts, New Hampshire, Rhode Island, and Vermont; Middle Atlantic:New Jersey, New York, and Pennsylvania; South Atlantic: Delaware, District ofColumbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia,and West Virginia; East South Central: Alabama, Kentucky, Mississippi, and
Tennessee; West South Central: Arkansas, Louisiana, Oklahoma, and Texas;East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin; 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. Data for 1994 are not directly comparable with datafor 1993 and earlier years. For additional information, see "Revisions in theCurrent Population Survey Effective January 1994" in the February 1994 issueof Employment and Earnings.
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
(Numbers in thousands)
State1993
Sept. Oct. Nov. Dec.
1994
Feb. Mar. Apr. May June July Aug. Sept.p
Alabama
Civilian labor forceEmployedUnemployedUnemployment rate
Alaska
Civilian labor forceEmployedUnemployedUnemployment rate
Arizona
Civilian labor forceEmployedUnemployedUnemployment rate
Arkansas
Civilian labor forceEmployedUnemployedUnemployment rate
California1
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
Florida1
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
1,993.01,840.7
152.47.6
300.5278.1
22.47.5
1,848.21,738.0
110.26.0
1,165.71,094.6
71.16.1
15,218.713,808.6
1,410.19.3
1,913.81,817.9
96.05.0
1,784.41,674.6
109.86.2
376.6355.2
21.45.7
309.2283.6
25.68.3
6,599.36,163.5
435.86.6
1,997.21,845.0
152.27.6
300.7278.1
22.57.5
1,851.51,739.5
112.06.1
1,166.81,095.9
70.96.1
15,314.813,836.51,478.3
1,929.11,832.1
97.05.0
1,785.61,676.5
109.16.1
376.6355.221.4
5.7
308.8283.025.7
8.3
6,574.76,120.0
454.76.9
1,999.21,847.1
152.17.6
302.3279.622.77.5
1,852.71,740.9
111.86.0
1,168.01,097.5
70.56.0
15,209.013,860.6
1,348.48.9
1,943.71,846.7
97.05.0
1,782.41,675.6
106.86.0
376.9354.922.05.8
308.5282.9
25.78.3
6,244.6444.5
6.6
1,995.11,847.4
147.77.4
302.0279.3
22.77.5
1,858.41,746.2
112.26.0
1,166.51,097.6
69.05.9
15,215.813,884.01,331.8
8.8
1,954.31,858.1
96.2
1,779.21,674.4
104.85.9
377.8355.122.76.0
309.8284.325.4
8.2
6,741.56,277.3
464.26.9
2,010.11,846.9
163.28.1
308.0281.526.5
8.6
1,929.41,833.9
95.55.0
1,200.31,133.2
67.25.6
15,625.614,040.71,584.9
10.1
1,968.01,855.2
112.85.7
1,796.61,716.2
80.44.5
371.3351.7
19.55.3
315.7281.4
34.310.9
6,798.46,286.1
512.37.5
1,987.01,848.8
138.27.0
311.3285.7
25.68.2
1,963.61,861.4
102.25.2
1,199.21,136.5
62.75.2
15,596.914,189.61,407.2
9.0
1,968.41,858.1
110.35.6
1,820.81,729.3
91.55.0
379.6360.5
19.05.0
298.4270.527.99.3
6,692.16,308.7
383.45.7
1,979.61,851.4
128.26.5
309.7284.2
25.68.3
1,996.21,886.7
109.55.5
1,199.31,139.3
60.05.0
15,547.214,205.0
1,342.28.6
1,958.31,856.2
102.05.2
1,806.01,712.7
93.35.2
382.4362.5
19.95.2
299.6270.429.2
6.761.66,266.0
495.67.3
1,974.01,859.5
114.55.8
309.3283.5
25.88.3
2,006.91,894.1
112.85.6
1,208.81,146.8
61.95.1
15,559.514,066.51,493.0
9.6
1,958.61,853.3
105.35.4
1,787.91,698.1
89.85.0
382.2361.021.2
5.5
303.1280.7
22.47.4
6,759.36,257.3
502.07.4
2,008.81,891.1
117.75.9
309.5283.8
25.78.3
2,003.81,885.4
118.55.9
1,207.91,141.4
66.55.5
15,513.214,224.9
1,288.38.3
1,969.31,866.2
103.15.2
1,767.61,675.4
92.25.2
387.5367.2
20.35.2
300.4277.722.67.5
6,779.46,313.1
466.36.9
2,007.71,889.1
118.65.9
309.9285.924.1
7.8
11,860.4
126.26.4
1,203.81,134.2
69.65.8
15,199.813,931.2
1,268.68.3
1,963.11,868.3
94.84.8
1,763.21,671.5
91.75.2
387.9369.4
18.54.8
302.4278.2
24.28.0
6,743.76,328.0
415.66.2
2,002.91,884.1
118.95.9
308.8283.924.98.1
1,975.81,861.0
114.85.8
1,208.81,140.3
68.55.7
15,333.613,950.2
1,383.49.0
1,992.41,899.2
93.24.7
1,767.51,676.4
91.15.2
387.5368.9
18.54.8
306.3280.8
25.58.3
6,708.76,295.7
413.06.2
2,024.81,896.7
128.16.3
308.6284.823.8
7.7
2,010.81,884.8
126.06.3
1,220.01,154.0
66.05.4
15,390.214,023.51,366.7
8.9
2,030.71,936.9
93.84.6
1,770.51,673.4
97.15.5
384.6368.2
16.44.3
302.4278.2
24.28.0
6,718.06,343.8
374.25.6
2,021.81,911.6
110.25.4
309.7286.822.97.4
2,037.81,896.4
141.56.9
1,220.01,160.6
59.44.9
15,462.714,172.4
1,290.38.3
2,031.91,949.5
82.44.1
1,762.41,667.0
95.45.4
381.3365.0
16.34.3
302.2279.8
22.57.4
6,843.16,385.7
457.56.7
125
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)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
Georgia
Civilian labor forceEmployedUnemployedUnemployment rate
Hawaii
Civilian labor forceEmployedUnemployedUnemployment rate
Idaho
Civilian labor forceEmployedUnemployedUnemployment rate
Illinois1
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.
3,503.23,302.0
201.25.7
582.1559.023.1
4.0
550.0517.132.96.0
5,964.05,480.3
483.78.1
2,961.82,812.4
149.45.0
1,560.21,499.6
60.73.9
1,319.51.252.6
66.95.1
1,792.81,684.9
107.96.0
1,868.31,734.5
133.87.2
627.8575.2
52.68.4
3,518.93,316.0
202.95.8
583.4560.3
23.14.0
551.3518.333.16.0
5,963.55,518.1
445.47.5
2,978.62,827.1
151.55.1
1,560.21,501.5
58.73.8
1,321.51,254.1
67.45.1
1,789.31,682.3
107.06.0
1,871.41,731.2
140.27.5
627.6575.951.68.2
3,526.23,325.2
201.05.7
583.3559.623.74.1
551.8520.031.8
5.8
5,998.85,640.0
358.86.0
2,991.62,840.6
151.15.0
1,558.21,500.4
57.83.7
1,320.81,253.9
66.85.1
1,788.51,682.2
106.35.9
1,879.71,734.3
145.37.7
626.5575.151.48.2
3,531.53,332.1
199.45.6
583.3559.424.04.1
553.7521.232.4
5.9
6,032.95,675.2
357.75.9
3,001.92,849.4
152.55.1
1,554.81,498.0
56.83.7
1,321.81,255.8
66.05.0
1,785.81,682.5
103.35.8
1,876.81,735.9
140.97.5
624.4574.749.7
8.0
3,583.83,325.3
258.57.2
605.3577.328.04.6
580.3551.329.0
5.0
5,998.65,600.1
398.56.6
2,992.62,824.8
167.85.6
1,552.11,479.8
72.34.7
1,335.81,249.3
86.46.5
1,809.21,728.0
81.34.5
1,924.41,761.3
163.28.5
628.0568.659.49.5
3,604.03,374.5
229.66.4
597.7569.028.7
4.8
591.5560.431.1
5.3
6,016.65,633.5
383.16.4
3,013.32,861.2
152.15.0
1,565.91,500.9
65.04.2
1,327.71,255.4
72.25.4
1,814.81,715.2
5.5
1,925.01,775.7
149.37.8
632.5585.547.0
7.4
3,593.33,373.4
219.96.1
593.7562.531.25.3
595.7564.631.1
5.2
6,029.75,667.2
362.56.0
3,007.12,853.1
154.05.1
1,541.61,485.9
55.63.6
1,336.91,259.3
77.65.8
1,801.51,714.8
86.84.8
1,892.51,738.6
153.98.1
625.1582.242.96.9
3,582.23,382.1
200.15.6
601.6568.133.55.6
596.7569.0
27.74.6
6,075.75,740.2
335.55.5
2,998.02,850.4
147.54.9
1,524.51,470.0
54.53.6
1,347.81,267.4
80.46.0
1,792.11,704.0
88.14.9
1,917.81,757.2
160.68.4
619.6579.8
39.86.4
3,562.53,373.8
188.85.3
599.5567.4
32.05.3
594.4566.2
28.24.7
6,058.65,709.5
349.15.8
3,018.72,874.4
144.34.8
1,549.51,493.9
55.53.6
1,356.71,290.9
65.94.9
1,804.21,718.4
85.84.8
1,937.01,783.1
153.97.9
611.9576.635.2
5.8
3,616.43,424.6
191.85.3
593.7561.831.95.4
593.0562.8
30.25.1
6,036.05,745.2
290.84.8
3,003.42,862.4
141.04.7
1,559.01,504.6
54.43.5
1,348.31,282.4
65.94.9
1,794.41,706.5
87.94.9
1,918.11,771.8
146.47.6
611.8573.538.4
6.3
3,618.03,410.5
207.55.7
592.3557.7
34.65.8
591.2562.1
29.14.9
5,975.85,601.3
374.46.3
2,972.42,817.8
154.75.2
1,557.81,511.6
46.23.0
1,344.91,274.2
70.75.3
1,813.61,718.2
95.45.3
1,950.11,799.1
151.17.7
619.3575.144.27.1
3,608.53,420.1
188.55.2
591.7555.5
36.26.1
590.0563.726.24.4
5,985.85,646.0
339.85.7
2,976.42,824.9
151.55.1
1,559.11,508.0
51.03.3
1,339.61,273.2
66.45.0
1,826.21,737.2
4.9
1,974.21,818.9
155.37.9
617.2574.243.07.0
3,621.23,425.1
196.15.4
595.0557.7
37.46.3
594.3564.5
29.95.0
5,951.95,612.0
339.95.7
3,039.62,891.2
148.44.9
1,567.41,516.2
51.13.3
1,329.31,262.7
66.65.0
1,827.71,735.5
92.25.0
1,977.11,825.3
151.97.7
614.1571.342.87.0
126
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
Maryland
Civilian labor forceEmployedUnemployedUnemployment rate
Massachusetts1
Civilian labor forceEmployedUnemployedUnemployment rate
Michigan1
Civilian labor forceEmployedUnemployedUnemployment rate
Minnesota
Civilian labor forceEmployed .. .UnemployedUnemployment 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
1993
Sept.
2,674.42,509.6
164.86.2
3,185.02,962.7
222.37.0
4,717.04,396.4
320.66.8
2,475.12,349.8
125.35.1
1,219.41,143.4
76.062
2,651.62,478.3
173.36.5
428.1402.8
25.35.9
856.5835.9
20.524
751.6695.8
55.87.4
622.3582 040.3
6.5
Oct.
2,680.82,517.2
163.66.1
3,191.22,976.3
214.96.7
4,736.64,409.5
327.169
2,475.92,350.6
125.35.1
1,222.51,145.9
76.763
2,657.32,483.3
173.965
430.0404.5
25.55.9
859.8839.0
20.824
757.2701.455.9
7.4
623.2583 2
40.06.4
Nov.
2,680.42,518.4
161.96.0
3,175.42,971.7
203.76.4
4,713 94,383.2
330.770
2,483.42,361.6
121.849
1,221.61,146.2
75.462
2,658.42,485.2
173.165
425.2399.8
25.36.0
860.6840.5
20.123
760.2704.8
55.37.3
622.7583 8
38.86.2
Dec.
2,682.82,521.1
161.76.0
3,161.72,965.8
195.96.2
4 748.24,399.3
348.973
2,487.02,367.1
119.84.8
1,221.91,147.6
74.36 1
2,660.82,488.1
172.765
430.1404.825.3
5.9
862.1841.6
20.424
764.7709.0
55.77.3
621.5583 8
37.76.1
Jan.
2,689.92,523.7
166.26.2
3,172.02,943.8
228.27.2
4,803 ?4,440.6
362.675
2,539.62,426.3
113.34.5
1,226.51,141.8
84.769
2,667.42,523.8
143.554
434.8410.4
24.45.6
890.7868.5
22.325
768.1729.438.8
5.0
627.0596 8
30.24.8
Feb.
2,698.72,535.7
163.06.0
3,130.22,930.4
199.96.4
4,796.04,416.3
379.879
2,582.22,475.0
107.34.2
1,216.31,131.3
85.070
2,637.82,495.1
142.75.4
433.9410.6
23.25.4
899.2873.7
25.528
779.4741.438.0
4.9
618.2585.0
33.25.4
Mar.
2,661.72,511.0
150.75.7
3,141.62,956.6
185.05.9
4,752.84,445.0
307.76.5
2,545.22,436.3
108.94.3
1,215.21,130.9
84.269
2,643.82,488.8
155.05.9
437.2414.8
22.35.1
892.2863.9
28.33.2
780.2741.139.1
5.0
625.7596.9
28.84.6
Apr.
2,645.02,502.7
142.35.4
3,127.32,937.1
190.26.1
4,817.94,541.5
276.457
2,562.92,455.3
107.64.2
1,229.21,140.0
89.273
2,646.82,515.3
131.650
440.5417.3
23.25.3
881.7855.3
26.430
779.2738.041.2
5.3
623.5594.6
28.94.6
1994
May
2,658.82,514.8
144.05.4
3,155.52,972.5
183.05.8
4,769.14,498.7
270.55.7
2,594.22,504.0
90.33.5
1,240.01,150.0
90.073
2,643.92,511.0
132.95.0
438.5418.0
20.54.7
883.6856.1
27.63.1
772.2730.541.7
5.4
617.0587.4
29.54.8
J _ _
June
2,663.82,525.1
138.75.2
3,158.32,969.2
189.16.0
4,735.64,480.0
255.65.4
2,550.92,459.2
91.73.6
1,244.31,162.8
81.56.6
2,658.22,536.7
121.54.6
437.1419.1
18.04 1
876.1848.8
27.33.1
775.7731.044.7
5.8
621.8592.5
29.34.7
July
2,671.12,525.5
145.65.5
3,218.93,027.5
191.45.9
4,745.54,462.3
283.26.0
2,516.12,428.9
87.23.5
1,248.31,165.8
82.56.6
2,661.72,543.2
118.54.5
439.4419.6
19.94.5
874.9851.8
23.126
779.1734.145.0
5.8
627.3596.930.4
4.8
Aug.
2,682.62.540.2
142.35.3
3,172.02,984.2
187.85.9
4,743.64,447.0
296.66.3
2,547.22,455.2
91.93.6
1,255.01,175.9
79.16.3
2,682.72,560.4
122 34.6
440.0418.9
21.14.8
877.4856.7
20.72.4
783.9735.848.2
6.1
630.5601.2
29.44.7
Sept.P
2,703.22,561.3
141.95.2
3,180.73,014.2
166.55.2
4,810.04,544.5
265.55.5
2,545.22,451.9
93.33.7
1,240.41,175.8
64.65.2
2,706.22,590.1
116.24 3
438.8416.5
22.35.1
882.0858.5
23.52.7
788.6743.345.2
5.7|
625.6601.2
24.43.9
See footnotes at end of table.
127
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)
State1993
Sept. Oct. Nov. Dec.
1994
Jan. Feb. Mar. Apr. May June July Aug. Sept.P
New Jersey1
Civilian labor forceEmployedUnemployedUnemployment rate
New Mexico
Civilian labor forceEmployedUnemployedUnemployment rate
New York1
Civilian labor forceEmployedUnemployedUnemployment rate
North Carolina1
Civilian labor forceEmployedUnemployedUnemployment rate
North Dakota
Civilian labor forceEmployedUnemployedUnemployment rate
Ohio1
Civilian labor forceEmployedUnemployedUnemployment rate
Oklahoma
Civilian labor forceEmployedUnemployedUnemployment rate
Oregon
Civilian labor forceEmployedUnemployedUnemployment rate
Pennsylvania1
Civilian labor forceEmployedUnemployedUnemployment rate
Rhode Island
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
3,988.33,683.3
305.07.6
760.1701.558.57.7
8,556.87,928.0
628.87.3
3,523.83,371.8
152.04.3
320.9306.9
14.04.4
5,459.55,071.5
388.07.1
1.519.51,426.5
93.06.1
1,595.11,483.7
111.47.0
5,915.25,506.6
408.66.9
509.7470.5
39.27.7
3,992.33,723.3
269.06.7
762.2703.8
58.57.7
8,624.77,954.1
670.67.8
3,547.63,384.1
163.54.6
321.4307.2
14.14.4
5,474.75,117.6
357.16.5
1,523.51,429.1
94.36.2
1,602.61,493.2
109.46.8
5,889.15,477.9
411.27.0
509.7469.4
40.37.9
4,042.73,786.1
256.66.3
760.0702.957.17.5
8,605.87,954.7
651.17.6
3,553.63,409.5
144.14.1
321.4307.7
13.74.3
5,511.95,153.2
358.76.5
1,523.81,430.1
93.76.1
1,613.41,504.9
108.66.7
5,899.45,484.1
415.37.0
510.3469.4
40.98.0
4,018.93,736.6
282.37.0
761.5704.8
56.77.4
8,597.07,943.3
653.77.6
3,565.23,417.4
147.84.1
321.7307.7
14.04.4
5,550.65,202.6
348.06.3
1,524.71,432.4
92.36.1
1,613.81,505.9
108.06.7
5,889.85,513.3
376.56.4
509.8468.6
41.28.1
4,065.73,787.7
278.06.8
782.5736.745.85.9
8,621.78,007.7
614.07.1
3.558.53,417.6
140.94.0
332.5316.7
15.84.7
5,513.25,178.0
335.26.1
1,580.61,478.9
101.76.4
1,608.61,493.1
115.57.2
5,800.25,451.2
349.16.0
523.7468.8
54.910.5
4,029.63,735.0
294.77.3
780.4740.240.2
5.2
8,578.27,906.5
671.77.8
3,586.83,401.6
185.25.2
332.7317.6
15.14.5
5,609.55,315.3
294.25.2
1,577.01,467.9
109.16.9
1.604.81,490.2
114.67.1
5,739.65,447.7
292.05.1
514.9475.8
39.17.6
4,022.93,703.8
319.17.9
775.2734.740.5
5.2
8,686.47,986.9
699.58.1
3,572.53,416.8
155.74.4
332.3316.4
16.04.8
5,595.45,266.2
329.25.9
1,563.01,458.1
104.96.7
1,608.21,507.7
100.56.3
5,913.65,511.1
402.56.8
510.3471.7
38.67.6
3,967.13,680.7
286.57.2
786.9745.941.0
5.2
8,652.37,946.8
705.58.2
3,587.43,448.9
138.53.9
331.4318.7
12.73.8
5,548.15,197.4
350.76.3
1,564.71,461.5
103.26.6
1,607.41,512.8
94.65.9
5,880.95,490.0
390.96.6
497.3466.5
30.86.2
3,928.23,655.9
272.26.9
785.1741.843.25.5
8,524.57,970.2
554.46.5
3,588.83,443.5
145.34.0
334.5322.3
12.23.7
5,598.25,234.6
363.66.5
1,565.51,469.9
95.56.1
1,642.41,547.0
95.35.8
5,918.05,553.1
364.96.2
498.6467.8
30.86.2
4,007.63,723.8
283.87.1
781.1741.7
39.45.0
8,600.67,999.8
600.87.0
3,560.33,429.3
131.13.7
334.1321.4
12.73.8
5,545.75,239.6
306.15.5
1,544.31,451.7
92.66.0
1,652.31,555.5
96.85.9
5,969.55,615.3
354.25.9
503.8471.0
32.86.5
4,060.53,799.2
261.46.4
781.5740.540.9
5.2
8,730.38,110.0
620.37.1
3,567.03,401.1
166.04.7
335.4322.7
12.73.8
5,472.45,153.0
319.35.8
1,543.71,451.2
92.56.0
1,670.11,579.1
91.05.4
5,912.55,527.9
384.66.5
503.0467.7
35.37.0
4,098.93,852.5
246.46.0
789.2746.842.3
5.4
8,633.18,035.2
598.06.9
3,612.73,423.8
188.85.2
335.7324.6
11.23.3
5,436.75,143.0
293.75.4
1,544.41,447.5
96.96.3
1,680.41,589.8
90.65.4
5,867.25,498.5
368.66.3
503.2465.7
37.57.5
4,098.53,824.3
274.26.7
784.5741.942.65.4
8,590.88,057.9
532.96.2
3,638.33,452.2
186.05.1
334.3323.5
10.83.2
5,519.95,217.2
302.75.5
1,550.01,460.6
89.45.8
1,678.41,594.8
83.65.0
5,796.75,408.2
388.56.7
501.7464.8
36.97.3
128
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)
State1993
Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May July Aug. Sept.P
South Carolina
Civilian labor forceEmployedUnemployedUnemployment rate
South Dakota
Civilian labor forceEmployedUnemployedUnemployment rate
Tennessee
Civilian labor forceEmployedUnemployedUnemployment rate
Texas1
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
1,828.71,686.2
142.57.8
360.3348.2
12.13.4
2,510.32,370.3
140.05.6
9,254.28,629.8
624.46.7
922.9888.8
34.13.7
316.6299.9
16.75.3
3,375.23,211.4
163.84.9
2,703.02,502.1
200.97.4
793.0709.7
83.410.5
2,723.22,598.2
125.14.6
239.3226.5
12.95.4
1,830.21,689.2
141.07.7
360.6348.8
11.83.3
2,516.52,378.5
138.05.5
9,339.48,665.2
674.27.2
927.0893.7
33.23.6
317.8301.1
16.65.2
3,375.43,215.2
160.24.7
2,711.32,511.0
200.37.4
794.6711.683.010.4
2,729.22,603.0
126.24.6
240.0226.9
13.25.5
1,828.01,687.2
140.87.7
361.3349.4
11.93.3
2,516.72,380.5
136.15.4
9,359.18,718.1
641.06.8
930.5897.9
32.63.5
317.9301.7
16.25.1
3,383.83,223.0
160.84.8
2,713.32,516.6
196.77.3
796.1713.682.510.4
2,735.62,605.9
129.74.7
239.9226.8
13.15.4
1,829.61,688.8
140.87.7
361.2349.1
12.13.4
2,515.22,382.6
132.65.3
9,301.48,690.7
610.76.6
933.2901.531.73.4
317.1301.1
16.05.0
3,386.53,228.3
158.34.7
2,723.62,524.8
198.87.3
795.3714.580.810.2
2,743.22,611.0
132.24.8
240.9227.7
13.25.5
1,792.21,688.9
103.25.8
362.3354.1
8.22.3
2,596.22,449.7
146.55.6
9,314.78,759.8
555.06.0
963.3932.730.53.2
306.9292.2
14.74.8
3,395.73,231.1
164.64.8
2,800.62,647.2
153.45.5
772.6687.8
84.711.0
2,799.12,672.3
126.84.5
252.5231.920.5
8.1
1,830.71,712.3
118.56.5
367.8357.6
10.32.8
2,597.62,445.7
151.85.8
9,307.38,661.5
645.86.9
972.8939.7
33.23.4
311.4295.5
15.95.1
3,390.03,216.8
173.25.1
2,761.82,589.8
172.06.2
773.4690.8
82.510.7
2,844.32,700.5
143.75.1
250.7233.8
16.96.7
1,813.01,691.9
121.06.7
369.6358.5
11.03.0
2,611.42,471.6
139.85.4
9,317.28,623.4
693.87.4
980.4946.733.73.4
317.2301.8
15.44.8
3,398.33,233.3
165.14.9
2,743.12,564.7
178.46.5
777.4698.2
79.310.2
2,826.72,691.1
135.74.8
1,821.51,693.9
127.77.0
369.2358.8
10.42.8
2,641.32,518.1
123.24.7
9,354.38,761.4
592.96.3
979.1944.534.63.5
315.6302.9
12.74.0
3,452.33,273.5
178.85.2
2,711.42,548.7
162.76.0
770.9702.668.3
8.9
2,802.42,669.3
133.04.7
1,821.41,705.4
116.06.4
371.2360.4
10.72.9
2,643.72,526.7
117.14.4
9,372.48,745.3
627.16.7
984.7948.136.63.7
310.4296.8
13.64.4
3,448.73,264.1
184.65.4
2,696.02,526.5
169.56.3
776.5706.669.99.0
2,788.42,671.7
116.74.2
1,820.11,710.3
109.86.0
371.6360.2
11.43.1
2,624.42,503.1
121.34.6
9,414.58,780.6
634.06.7
983.3950.2
33.13.4
309.4297.0
12.34.0
3,402.93,227.0
175.95.2
2,716.72,539.3
177.46.5
784.3709.275.19.6
2,804.62,683.7
121.04.3
1,826.41,715.5
110.96.1
372.9362.0
10.92.9
2,628.32,507.9
120.44.6
9,500.08,853.7
646.36.8
986.6
37.03.8
309.2296.0
13.14.2
3,399.83,226.8
173.05.1
2,708.82,545.6
163.26.0
786.8718.268.5
8.7
2,809.32,683.6
125.74.5
1,835.61,726.1
109.56.0
374.6363.9
10.72.8
2,623.02,500.4
122.64.7
9,416.58,791.0
625.56.6
991.8956.8
35.03.5
311.0296.7
14.24.6
3,421.63,250.6
171.15.0
2,741.92,573.3
168.66.1
787.8717.0
70.89.0
2,815.12,689.9
125.24.4
250.7234.5
16.26.5
249.1232.5
16.66.7
249.7234.7
15.06.0
249.4234.4
15.06.0
249.6236.4
13.25.3
248.7235.6
13.15.3
1,833.71,725.5
108.25.9
373.5362.0
11.53.1
2,637.22,512.5
124.74.7
9,334.18,751.2
582.96.2
951.934.93.5
312.4297.9
14.44.6
3,455.23,287.4
167.84.9
2,716.32,558.6
157.85.8
781.9721.061.0
7.8
2,821.62,694.5
127.14.5
248.0236.7
11.34.5
1 Data are obtained directly from the Current Population Survey (CPS). See theExplanatory Notes And Estimates of Error Section for Region, State, and Area LaborForce Data.
p = preliminary.NOTE: Data refer to place of residence. Data, beginning 1994, are not directly
comparable with those for 1993 and prior years as a result of the redesign of the CPS.In addition, data comparisons are affected by the incorporation of 1990 census-basedpopulation controls (covering the 1990-93 period) and other methodological changes.For additional information, see "Revisions in State and Area Estimates EffectiveJanuary 1994" in the March 1994 issue of Employment and Earnings.
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
(Numbers in thousands)
State and area
Civilian labor force
Sept.1993
1,980.6421.0159.3240.9145.372.4
302.5133.4
1,853.41,174.2
334.9
1,163.3123.391.2
277.837.2
15,261.4273.5435.1
4,418.3196.7
1,096.51,305.71,235.7
679.4173.5
1,198.8898.9831.3190.5222.9247.8234.1369.2
1.939.4150.9990.2
1,772.8226.9114.8621.8279.7189.3119.2
373.5277.7
307.12,552.1
6,602.7184.5692.6156.397.6
482.2188.6204.1
1,015.8723.4164.0235.0136.5
1,024.6433.7
Aug.1994
2,020.4432.8158.2247.6150.174.1
317.3137.1
2,005.41,264.8
362.5
1,227.4134.295.5
296.338.5
15,547.3274.4438.7
4,439.0209.7
1,130.81,338.41,271.8
708.1178.4
1,223.5915.7855.8193.8225.6252.2238.3374.1
2,061.4156.1
,j ,032.6
1,808.6229.7117.7633.5277.3194.9122.0
388.2284.6
306.02,600.2
6,800.8188.0718.5163.398.1
492.4194.7208.4
1,059.0757.9166.3241.0138.5
1,046.6440.7
Sept.1994P
2,009.9433.0158.6245.4148.874.8
311.5136.8
2,037.81,284.2
369.0
1,215.8133.694.9
292.738.3
15,464.8275.2435.7
4,413.0207.5
1,119.31,331.01.277.2
703.8176.6
1,214.3906.4844.1193.4228.0252.2237.5371.8
2,055.9159.0
1,027.7
1,745.9220.4113.1617.3269.9186.3116.2
378.3279.5
300.22,586.3
6,833.9188.9721.0164.9101.8492.6196.0208.6
1,055.6759.8166.8241.3142.1
1,055.1445.3
Unemployed
Sept.1993
147.324.4
9.419.99.14.1
18.96.8
116.160.814.4
62.43.35.4
12.03.2
1,394.237.553.6
426.424.976.392.7
138.756.315.599.756.658.414.714.428.018.035.4
85.66.1
40.5
100.814.95.0
38.115.97.18.0
21.216.4
24.2113.7
451.511.844.7
8.94.0
25.819.414.874.242.8
8.111.76.0
63.439.8
Number
Aug.1994
131.120.6
8.317.78.34.0
18.86.6
130.061.815.7
63.43.54.9
12.03.2
1,341.334.748.7
456.024.674.379.4
124.849.414.691.354.153.813.414.025.217.732.8
89.16.4
42.5
101.714.64.9
37.416.57.78.2
17.813.8
23.3104.7
447.911.244.6
8.63.6
23.919.413.782.443.1
8.010.95.5
56.740.7
Sept.1994P
105.616.66.7
14.56.93.3
19.06.7
149.173.318.2
53.03.04.2
10.02.7
1,260.936.250.3
368.024.973.579.3
125.650.914.691.953.153.314.213.326.217.232.9
70.55.1
33.5
87.312.74.1
32.313.96.77.0
16.212.6
20.7102.1
469.311.847.6
9.13.7
25.619.414.086.444.9
8.311.45.9
59.242.4
Sept.1993
7.45.85.98.36.35.6
6.35.1
6.35.24.3
5.42.76.04.38.7
9.113.712.39.7
12.77.07.1
11.28.38.98.36.37.07.76.5
11.37.79.6
4.44.14.1
5.76.64.46.15.73.76.7
5.75.9
7.94.5
6.86.46.55.74.15.3
10.37.27.35.94.95.04.46.29.2
Percent oflabor force
Aug.1994
6.54.85.37.25.55.3
5.94.8
6.54.94.3
5.22.65.14.18.2
8.612.611.110.311.76.65.99.87.08.27.55.96.36.96.2
10.07.48.8
4.34.14.1
5.66.44.25.95.93.96.7
4.64.9
7.64.0
6.66.06.25.23.64.8
10.06.67.85.74.84.54.05.49.2
Sept.1994P
5.33.84.35.94.74.4
6.14.9
7.35.74.9
4.42.24.43.47.1
8.213.211.58.3
12.06.66.09.87.28.37.65.96.37.35.8
10.47.28.9
3.43.23.3
5.05.83.65.25.23.66.0
4.34.5
6.93.9
6.96.36.65.53.65.29.96.78.25.95.04.74.25.69.5
AlabamaBirminghamHuntsvilleMobileMontgomeryTuscaloosa
AlaskaAnchorage
ArizonaPhoenix-MesaTucson
ArkansasFayetteville-Springdale-RogersFort SmithLittle Rock-North Little RockPine Bluff
California1
BakersfieldFresnoLos Angeles-Long Beach1
ModestoOaklandOrange CountyRiverside-San BernardinoSacramentoSalinasSan DiegoSan FranciscoSan JoseSanta Barbara-Santa Maria-LompocSanta RosaStockton-LodiVallejo-Fairfield-NapaVentura
ColoradoBoulder-LongmontDenver
ConnecticutBridgeportDanburyHartfordNew Haven-MeridenStamford-NewarkWaterbury
DelawareWilmington-Newark
District of ColumbiaWashington
Florida1
Daytona 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.
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.1993
3,486.452.762.8
1,777.2204.7109.0140.3125.1
574.5418.5
550.6172.6
5,956.175.292.7
3,941.1181.859.649.0
169.3183.6103.2
2,959.960.191.1
150.9251.8294.3759.552.087.564.9
130.573.8
1,549.9104.3244.549.262.563.668.5
1,308.549.089.0
266.2
1,788.4234.3504.144.7
1,864.655.0
269.175.0
152.078.064.3
582.1168.8
625.549.2
119.3
Aug.1994
3,612.353.263.3
1,870.4204.9111.3141.6126.1
592.7428.3
596.4191.1
6,019.875.289.4
3,997.9186.759.549.6
171.6184.1110.7
3,002.658.794.3
150.5259.9291.3784.1
51.586.964.0
129.470.2
1,566.9105.0253.7
49.864.664.167.4
1,339.848.291.6
269.9
1,832.9236.0524.547.3
1,987.157.6
283.580.4
163.283.467.9
613.9183.1
630.749.7
118.2
Sept.1994P
3,602.253.361.9
1,869.3205.2111.3142.2126.1
586.3424.4
592.6189.1
5,947.076.590.4
3,945.1185.058.448.6
169.6181.6104.6
3,036.158.694.4
150.3261.8296.3786.9
52.991.066.5
135.071.4
1,559.5105.3250.448.464.263.868.0
1,318.248.889.0
266.6
1,821.8238.4518.746.2
1,969.757.0
283.779.1
160.782.267.4
609.5181.2
611.549.3
115.7
Unemployed
Sept.1993
198.94.52.7
92.115.17.68.47.6
23.013.3
27.26.9
449.03.15.1
294.110.76.14.0
13.316.95.6
134.81.74.16.5
10.517.829.62.42.63.25.74.2
54.13.27.91.51.71.63.4
63.32.54.3
15.1
100.18.5
22.72.5
131.03.6
18.04.79.95.54.2
40.411.3
43.54.06.7
Number
Aug.1994
185.44.62.5
86.012.27.08.57.3
36.620.8
24.86.2
319.82.33.4
208.87.94.53.17.99.14.7
141.22.33.77.0
11.216.532.4
2.52.73.45.44.5
47.02.66.01.41.51.82.9
65.42.54.2
15.3
80.97.3
20.02.2
160.34.2
21.55.7
12.27.15.1
47.413.8
34.73.04.9
Sept.1994P
190.84.42.7
90.812.66.98.67.4
37.021.0
24.46.2
299.02.43.1
196.07.84.13.07.78.34.4
132.62.03.16.6
10.216.130.7
2.92.83.05.43.9
45.52.66.31.21.51.82.6
63.02.44.3
14.5
86.17.9
20.92.1
147.33.9
19.24.9
11.66.44.7
44.713.3
33.92.94.8
Sept.1993
5.78.54.35.27.46.96.06.1
4.03.2
4.94.0
7.54.15.57.55.9
10.28.27.89.25.4
4.62.84.54.34.26.03.94.73.04.94.45.7
3.53.13.23.02.62.64.9
4.85.14.85.7
5.63.64.55.6
7.06.66.76.36.57.06.56.96.7
7.08.15.6
Percent oflabor force
Aug.1994
5.18.63.94.66.06.36.05.8
6.24.9
4.23.2
5.33.03.75.24.27.66.24.64.94.2
4.73.93.94.74.35.74.14.83.15.44.26.3
3.02.52.42.72.32.94.3
4.95.24.65.7
4.43.13.84.7
8.17.37.67.17.58.57.57.77.5
5.56.04.2
Sept.1994P
5.38.24.34.96.26.26.15.8
6.34.9
4.13.3
5.03.23.45.04.27.06.24.54.64.2
4.43.53.34.43.95.43.95.53.14.64.05.4
2.92.42.52.52.42.73.9
4.85.04.95.4
4.73.34.04.6
7.56.86.86.27.27.86.97.37.3
5.55.84.1
GeorgiaAlbanyAthensAtlantaAugusta-AikenColumbusMaconSavannah
HawaiiHonolulu
IdahoBoise City
Illinois1
Bloomington-NormalChampaign-UrbanaChicagoDavenport-Moline-Rock Island ..DecaturKankakeePeoria-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.
131
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.1993
2,682.81,216.4
3,166.21,737.0
120.968.2
189.2153.282.641.5
288.9245.4
4,706.9274.8
81.52,112.4
196.9517.8
73.6223.2233.6192.2
2,478.4116.1
1,509.664.287.2
1,217.7210.7
2,636.6866.7
1,266.0150.2
425.9
851.3130.6345.9
751.7536.6161.0
614.994.693.9
117.5
3,965.1171.1647.9277.9573.0487.7982.9166.462.8
757.8330.2
60.474.2
Aug.1994
2,711.41,227.8
3,212.01,779.1
122.068.4
191.4152.781.442.6
282.3245.7
4,825.0278.0
85.12,151.8
199.2529.8
75.6227.0234.1198.9
2,565.6118.3
1,573.966.189.2
1,254.7219.1
2,696.5910.9
1,307.8154.7
446.0
885.0132.3355.7
786.4570.3164.7
639.697.596.5
122.4
4,117.6181.4666.5285.6599.9519.0
1,016.5171.663.8
786.4344.8
61.679.0
Sept.1994?
2,710.21,227.5
3,165.01,751.5
120.767.9
187.4151.380.741.0
283.8243.5
4,797.3281.1
83.72,141.6
198.7528.8
75.1229.6236.5197.0
2,542.1116.1
1,549.465.089.4
1,239.7217.2
2,690.7896.3
1,302.3157.1
436.1
874.4131.9351.9
787.3572.6165.6
618.095.294.6
117.3
4,085.3175.7664.9286.5594.3506.5
1,009.2170.264.6
781.2345.7
62.377.3
Unemployed
Sept.1993
163.190.1
223.5110.2
9.95.1
17.412.78.63.3
22.016.8
309.211.55.6
147.918.326.9
5.111.611.012.4
124.08.0
69.52.44.5
78.410.1
162.345.981.6
6.9
20.7
19.02.69.1
54.841.2
9.9
37.35.66.45.5
291.615.650.327.034.032.076.710.36.6
56.123.0
4.82.8
Number
Aug.1994
137.475.0
181.190.48.34.5
13.310.26.82.9
18.112.1
280.310.64.9
122.815.925.1
4.911.510.012.2
85.36.4
45.81.83.2
81.610.5
127.942.562.44.9
16.2
20.83.09.5
47.736.08.5
28.34.74.94.8
246.612.542.223.029.026.862.6
9.15.6
42.114.34.12.6
Sept.1994P
139.875.4
169.684.8
7.64.1
11.89.36.62.8
17.111.3
253.011.14.4
111.714.721.7
4.311.59.2
11.0
92.06.6
50.62.13.0
66.08.4
105.436.053.04.4
17.5
21.73.29.6
45.637.2
8.2
21.83.63.83.7
260.514.444.825.228.828.265.8
9.46.0
41.113.93.92.7
Sept.1993
6.17.4
7.16.38.27.49.28.3
10.48.07.66.8
6.64.26.97.09.35.27.05.24.76.5
5.06.94.63.75.2
6.44.8
6.25.36.44.6
4.9
2.22.02.6
7.37.76.2
6.16.06.84.7
7.49.17.89.75.96.67.86.2
10.5
7.47.0 •8.03.8
Percent oflabor force
Aug.1994
5.16.1
5.65.16.86.66.96.78.46.96.44.9
5.83.85.85.78.04.76.55.14.36.1
3.35.42.92.83.6
6.54.8
4.74.74.83.2
3.6
2.42.32.7
6.16.35.1
4.44.85.13.9
6.06.96.38.04.85.26.25.38.8
5.34.16.73.3
Sept.1994P
5.26.1
5.44.86.36.06.36.28.16.86.04.6
5.33.95.25.27.44.15.75.03.95.6
3.65.73.33.23.3
5.33.9
3.94.04.12.8
4.0
2.52.42.7
5.86.55.0
3.53.84.03.1
6.48.26.78.84.85.66.55.59.2
5.34.06.33.5
MarylandBaltimore
Massachusetts1
BostonBrocktonFitchburg-LeominsterLawrenceLowellNew BedfordPittsfieldSpringfieldWorcester
Michigan1
Ann ArborBenton HarborDetroitFlintGrand Rapids-Muskegon-Holland ..JacksonKalamazoo-Battle-CreekLansing-East LansingSaginaw-Bay City-Midland
MinnesotaDuluth-SuperiorMinneapolis-St.PaulRochesterSt. Cloud
MississippiJackson
MissouriKansas CitySt. Louis LMASpringfield
Montana
NebraskaLincolnOmaha
NevadaLas VegasReno
NewH{ManchesterNashuaPortsmouth-Rochester
New Jersey1
Atlantic-Cape MayBergen-PassaicJersey CityMiddlesex-Somerset-HunterdonMonmouth-OceanNewarkTrentonVineland-Millville-Bridgeton
New MexicoAlbuquerqueLas CrucesSanta Fe
See footnotes at end of table.
132
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE 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.1993
8,475.5444.7125.3566.1119.641.859.5
1,334.03,820.83,202.0
166.3552.4362.0140.2
3,528.2103.7669.4593.6549.9
323.647.489.465.5
5,450.0345.6199.1797.3
1,069.8750.7462.3303.5279.6
1,518.526.941.4
490.4375.8
1,605.3150.880.0
917.9159.4
5,903.8273.8
63.0141.1330.5106.4229.1
2,434.71,165.0
177.4342.3
53.965.456.4
189.1
510.1584.7
1,835.0244.3249.9462.6
361.542.881.5
Aug.1994
8,690.3460.3126.0581.0116.243.071.4
1,356.03,904.73,269.0
172.8577.0369.0145.6
3,647.1107.9695.4610.6546.8
347.050.692.768.0
5,537.7352.2202.7814.3
1,086.2757.6465.1303.8286.2
1,541.127.343.1
495.7375.7
1,704.6158.782.9
968.6165.7
5,954.7277.1
65.2142.4332.5107.7233.2
2,466.41,174.0
179.3349.0
55.064.057.2
190.6
506.7581.5
1,859.2250.2257.0474.2
383.444.886.5
Sept.1994^
8,497.5450.7124.6573.6115.942.262.3
1,335.93,800.83,181.0
169.2568.5365.1142.5
3,639.6106.3691.2611.9545.0
336.848.991.167.5
5,514.4352.0200.2808.1
1,077.6752.4466.3305.4285.6
1,543.227.142.9
486.7376.5
1,690.7157.883.9
962.5163.3
5,799.0269.6
63.4139.2320.2104.1226.7
2,419.71,137.4
174.9338.9
53.764.156.3
186.4
501.6576.0
1,840.9245.9252.9471.3
374.543.585.1
Unemployed
Sept.1993
604.820.8
8.236.911.12.23.6
91.0313.9277.3
10.525.721.98.5
130.83.3
25.418.814.4
12.31.72.71.8
351.018.414.345.769.539.824.818.721.9
90.51.02.7
24.922.7
107.710.66.0
54.410.3
372.817.94.19.1
14.19.89.2
158.772.0
9.223.84.73.44.09.8
38.147.0
144.517.315.126.9
10.41.62.0
Number
Aug.1994
579.821.1
8.034.2
7.12.13.6
80.1311.4278.0
9.429.719.16.9
179.14.6
30.225.420.0
11.61.52.22.0
267.815.510.435.355.627.319.314.523.0
87.71.32.5
23.421.4
81.37.75.3
39.27.4
367.217.54.08.9
14.49.79.2
150.873.8
8.624.8
3.83.13.88.9
33.640.1
111.715.110.721.7
11.41.72.1
Sept.1994P
505.919.57.3
30.06.82.03.4
73.2259.9229.0
8.427.118.06.4
163.94.2
28.022.617.8
9.41.41.91.4
270.616.010.135.957.127.819.514.522.0
85.51.12.6
22.720.9
79.77.44.7
39.37.3
356.116.94.08.8
14.19.39.2
151.369.5
8.523.0
3.63.24.18.3
35.341.0
111.215.210.821.7
10.01.62.1
Sept.1993
7.14.76.66.59.35.46.06.88.28.76.34.76.06.0
3.73.23.83.22.6
3.83.63.02.8
6.45.37.25.76.55.35.46.27.8
6.03.66.55.16.0
6.77.17.55.96.4
6.36.56.56.54.39.24.06.56.25.26.98.75.27.15.2
7.58.0
7.97.16.15.8
2.93.82.4
Percent oflabor force
Aug.1994
6.74.66.35.96.14.85.05.98.08.55.45.15.24.8
4.94.24.34.23.6
3.33.02.43.0
4.84.45.14.35.13.64.14.88.1
5.74.95.94.75.7
4.84.86.44.04.4
6.26.36.16.34.39.03.96.16.34.87.16.94.86.74.7
6.66.9
6.06.04.14.6
3.03.72.5
Sept.1994P
6.04.35.85.25.94.75.45.56.87.25.04.84.94.5
4.54.04.13.73.3
2.82.92.12.1
4.94.55.14.45.33.74.24.87.7
5.54.16.04.75.5
4.74.75.64.14.5
6.16.36.46.34.48.94.16.36.14.96.86.75.07.34.4
7.07.1
6.06.24.34.6
2.73.62.5
New York1
Albany-Schenectady-Troy .BinghamtonBuffalo-Niagara FallsDutchess CountyElmiraGlens FallsNassau-SuffolkNew York
New York City1
NewburghRochesterSyracuseUtica-Rome
North Carolina1
AshevilleCharlotte-Gastonia-Rock HillGreensboro-Winston-Salem-High Point .Raleigh-Durham-Chapel Hill
North DakotaBismarckFargo-Moorhead .Grand Forks
Ohio1
AkronCanton-MassillonCincinnatiCleveland-Lorain-ElyriaColumbusDayton-SpringfieldToledoYoungstown-Warren
OklahomaEnidLawtonOklahoma City .Tulsa
OregonEugene-Springfield ..Medford-AshlandPortland-Vancouver.Salem
Pennsylvania1
Allentown-Bethlehem-EastonAltoonaErieHarrisburg-Lebanon-CarlisleJohnstownLancasterPhiladelphiaPittsburghReadingScranton-Wilkes-Barre-Hazelton .SharonState CollegeWilliamsportYork
Rhode IslandProvidence-Fall River-Warwick
South CarolinaCharleston-North CharlestonColumbiaGreenville-Spartanburg-Anderson ...
South DakotaRapid CitySioux Falls
See footnotes at end of table.
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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.1993
2,537.5216.6223.1328.6491.6565.0
9,236.259.0
105.3556.2185.1106.8116.669.1
170.91,634.3
278.2798.7126.4
1,942.3104.863.399.8
118.2168.3117.749.7
691.246.756.780.741.397.062.6
933.4137.2598.6
318.992.2
3,359.471.158.7
106.4685.9486.4126.9
2,699.21,180.2
791.4127.0131.774.670.9
2,723.5205.0
71.9117.074.870.566.0
236.2755.389.257.565.9
241.230.6
Aug.1994
2,653.9225.9225.6342.7506.7600.4
9,437.257.8
108.7575.1186.8107.9121.067.6
175.41,710.6
280.0819.8128.3
1,967.0109.266.6
100.8120.9173.6118.650.6
700.445.857.582.542.598.563.3
1,004.3145.4644.0
312.291.6
3,455.770.259.5
107.0724.0500.4129.3
2,738.01,204.3
792.9129.1131.075.272.6
2,845.9213.8
74.2125.677.071.868.6
244.8784.994.061.070.0
253.030.8
Sept.1994"
2,659.5224.9225.3340.8512.3598.6
9,320.757.6
106.9575.3184.7106.9119.569.2
171.91.683.4
276.4809.8125.7
1,930.6108.866.299.8
118.9173.0117.650.2
692.646.256.881.042.1
100.462.9
995.8148.8634.0
315.292.4
3,436.271.659.5
108.1716.6496.8128.8
2,708.61,182.1
782.4127.0128.974.771.5
2.818.4211.5
74.7124.376.672.268.1
244.1773.893.060.168.5
249.530.8
unempioysu
Sept.1993
133.211.111.913.325.622.0
596.93.34.6
20.318.77.5
12.62.0
14.090.026.444.6
9.9133.1
5.75.78.15.1
27.38.32.7
36.43.14.65.02.25.03.2
33.74.3
20.9
14.13.4
159.12.43.54.7
36.721.8
5.8
174.971.4
77.99.6
12.56.05.9
108.27.23.14.54.63.12.74.6
31.54.91.72.5
11.11.8
Number
Aug.1994
125.010.112.112.823.819.6
581.13.04.3
20.617.67.7
12.62.2
15.486.925.743.210.4
124.05.65.48.05.6
27.38.42.2
34.42.84.84.72.54.93.3
37.94.8
23.4
12.02.8
169.32.64.74.6
40.423.6
5.0
147.558.8
67.88.2
10.34.54.5
118.37.43.14.63.73.42.45.1
35.65.11.93.3
11.81.8
Sept.1994P
116.510.110.611.722.918.0
557.92.74.1
19.716.47.8
12.42.1
14.483.625.041.2
9.8120.5
5.45.37.54.7
27.98.32.2
32.32.84.54.12.34.83.2
34.44.5
21.1
12.32.9
162.02.64.15.1
39.423.7
4.7
134.255.6
55.66.89.14.14.4
110.47.02.84.33.83.22.15.0
33.44.62.03.0
9.41.4
Sept.1993
5.25.15.44.05.23.9
6.55.74.33.7
10.17.1
10.82.88.25.59.55.67.96.95.59.08.14.3
16.27.15.45.36.68.16.25.45.15.1
3.63.13.5
4.43.7
4.73.45.94.45.44.54.5
6.56.1
9.87.69.58.18.3
4.03.54.43.96.14.44.01.94.25.52.93.8
4.66.0
Percent oflabor force
Aug.1994
4.74.55.43.74.73.3
6.25.24.03.69.47.2
10.43.38.85.19.25.38.16.35.18.18.04.7
15.77.14.44.96.18.45.75.85.05.3
3.83.33.6
3.83.1
4.93.77.84.35.64.73.8
5.44.9
8.66.47.95.96.1
4.23.44.13.74.74.73.42.14.55.43.14.7
4.75.8
Sept.1994P
4.44.54.73.44.53.0
6.04.63.93.48.97.3
10.33.18.45.09.05.17.86.24.98.07.63.9
16.17.14.34.76.17.95.05.64.75.0
3.53.03.3
3.93.1
4.73.66.84.75.54.83.6
5.04.7
7.15.47.15.56.2
3.93.33.83.54.94.53.12.14.35.03.34.3
3.84.6
TennesseeChattanoogaJohnson City-Kingsport-BristolKnoxvilleMemphisNashville
Texas1
AbileneAmarillo ;
Austin-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
WashingtonSeattle-Bellevue-Everett
West VirginiaCharlestonHuntington-AshlandParkersburg-MariettaWheeling
WisconsinAppleton-Oshkosh-NeenahEau ClaireGreen BayJanesville-BeloitKenoshaLa CrosseMadisonMilwaukee-WaukeshaRacineSheboyganWausau
WyomingCasper
1 Data are obtained directly from the Current Population Survey (CPS). See theExplanatory Notes and Estimates of Error Section for Region, State, and AreaLabor Force Data.
p = preliminary.NOTE: Data refer to place of residence. Data, beginning 1994, are not directly
comparable with those for 1993 and prior years as a result of the redesign of the
CPS. In addition, data comparisons are affected by the incorporation of 1990census-based population controls (covering the 1990-93 period) and othermethodological changes. For additional information, see "Revisions in State andArea Estimates Effective January 1994" in the March 1994 issue of Employmentand Earnings. Area definitions are published annually in the May issue of thispublication.
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Explanatory Notes and Estimates of Error
Introduction
The statistics in this periodical are compiled from two ma-jor sources: (1) Household interviews, and (2) reports fromemployers.
Data based on household interviews are obtained from theCurrent Population Survey (CPS), a sample survey of thepopulation 16 years of age and over. The survey is conductedeach month by the Bureau of the Census for the Bureau ofLabor Statistics and provides comprehensive data on thelabor force, the employed, and the unemployed, classifiedby such characteristics as age, sex, race, family relationship,marital status, occupation, and industry attachment. Thesurvey also provides data on the characteristics and pastwork experience of those not in the labor force. Theinformation is collected by trained interviewers from asample of about 60,000 households located in 729 sampleareas. These areas are chosen to represent all counties andindependent cities in the U.S., with coverage in 50 States andthe District of Columbia. The data collected are based on theactivity or status reported for the calendar week includingthe 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) surveyis designed to provide industry information on nonfarmwage and salary employment, average weekly hours,average hourly earnings, and average weekly earnings forthe Nation, States, and metropolitan areas. The employ-ment, hours, and earnings series are based on payroll reportsfrom a sample of over 390,000 establishments employingover 47 million nonfarm wage and salary workers. The datarelate to all workers, full or part time, who receive payduring the payroll period which includes the 12th of themonth.
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 otherbecause of variations in definitions and coverage, source ofinformation, methods of collection, and estimating proce-dures. Sampling variability and response errors are addition-al reasons for discrepancies. The major factors which have adifferential effect on the levels and trends of the two dataseries 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 in-formation on the work status of the population withoutduplication, since each person is classified as employed,unemployed, or not in the labor force. Employed personsholding more than one job are counted only once. In thefigures based on establishment reports, persons who workedin more than one establishment during the reporting periodare counted each time their names appear on payrolls.
Unpaid absences from jobs. The household survey includesamong the employed all civilians who had jobs but were notat 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.
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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 by em-ployers. In the household survey, all persons with a job butnot at work are excluded from the hours distributions and thecomputations of average hours at work. In the payroll sur-vey, production or nonsupervisory employees on paid vaca-tion, paid holiday, or paid sick leave are included and as-signed the number of hours for which they were paid duringthe reporting period.
EarningsThe household survey measures the earnings of wage and
salary workers in all occupations and industries in both theprivate and public sectors. Data refer to the usual earningsreceived from the worker's sole or primary job. Data fromthe establishment survey generally refer to average earningsof production and related workers in mining and manufac-turing, construction workers in construction, and nonsuper-visory employees in private service-producing industries.For a comprehensive discussion of the various earningsseries available from the household and establishmentsurveys, see BLS Measures of Compensation, BLS Bulletin2239 (1986).
COMPARABILITY OF HOUSEHOLD DATA WITHOTHER SERIES
Unemployment insurance data. The unemployed total fromthe household survey includes all persons who did not have ajob during the reference week, were currently available for ajob, and were looking for work or were waiting to be calledback to a job from which they had been laid off, whether ornot they were eligible for unemployment insurance. Figureson unemployment insurance claims, prepared by theEmployment and Training Administration of the U.S.Department of Labor, exclude, in addition to otherwiseineligible persons who do not file claims for benefits,persons who have exhausted their benefit rights, newworkers who have not earned rights to unemploymentinsurance, and persons losing jobs not covered by unem-ployment insurance systems (some workers in agriculture,domestic services, and religious organizations, and self-employed and unpaid 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 are theinclusion of persons under 16 in the National AgriculturalStatistics Service series and the treatment of dual jobhold-ers, who are counted more than once if they work on morethan one farm during the reporting period. There are alsowide differences in sampling techniques and data collectingand estimating methods, which cannot be readily measuredin terms of their impact on differences in the levels andtrends of the two series.
COMPARABILITY OF PAYROLL EMPLOYMENTDATA WITH OTHER SERIES
Statistics on manufacturers and business, Bureau of theCensus. BLS establishment statistics on employment differfrom 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 centraladministrative offices and auxiliary units; the industrialclassification of establishments; and different reportingpatterns by multiunit companies. There are also differencesin the scope of the industries covered, e.g., the Census ofBusiness 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 establish-ment statistics in the treatment of central administrative of-fices and auxiliary units. Differences may also arise becauseof industrial classification and reporting practices. In addi-tion, CBP excludes interstate railroads and most of govern-ment, and coverage is incomplete for some of the nonprofitagencies.
Employment covered by State unemployment insuranceprograms. Most nonfarm wage and salary workers arecovered by the unemployment insurance programs. Howev-er, some employees, such as those working in parochialschools and churches, are not covered by unemploymentinsurance, whereas they are included in the BLS establish-ment 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 theCurrent Population Survey (CPS). This monthly survey ofhouseholds is conducted for BLS by the Bureau of theCensus through a scientifically selected sample designed torepresent the civilian noninstitutional population. Respon-dents are interviewed to obtain information about theemployment status of each member of the household 16years of age and over. The inquiry relates to activity or statusduring the calendar week, Sunday through Saturday, whichincludes the 12th day of the month. This is known as the"reference week." Actual field interviewing is conducted inthe following week, referred to as the "survey week."
Each month about 60,000 occupied units are eligible forinterview. Some 2,600 of these households are contacted butinterviews are not obtained because the occupants are not athome after repeated calls or are unavailable for otherreasons. This represents a noninterview rate for the surveythat ranges between 4 and 5 percent. In addition to the60,000 occupied units, there are 11,500 sample units in anaverage month which are visited but found to be vacant orotherwise not eligible for enumeration. Part of the sample ischanged each month. The rotation plan, as explained later,provides for three-fourths of the sample to be common fromone month to the next, and one-half to be common with thesame month a 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), andwho are 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 paidemployees in their own business, profession, or on their ownfarm, or who worked 15 hours or more as unpaid workers inan enterprise operated by a member of the family, and (b) allthose who were not working but who had jobs or businessesfrom which they were temporarily absent because ofvacation, illness, bad weather, childcare problems, materni-ty or paternity leave, labor-management dispute, job
training, or other family or personal reasons, whether or notthey were 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 occupation andindustry classification, multiple jobholders are counted inthe job at which they worked the greatest number of hoursduring the reference week.
Included in the total are employed citizens of foreigncountries who are temporarily in the United States but notliving on the premises of an embassy. Excluded are personswhose only activity consisted of work around their ownhouse (painting, repairing, or own home housework)or volunteer work for religious, charitable, and otherorganizations.
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 personson layoff, duration of unemployment represents the numberof full weeks they had been on layoff. Mean duration is thearithmetic average computed from single weeks of unem-ployment; median duration is the midpoint of a distributionof 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 qualify asunemployed), and (b) permanent job losers, whose employ-ment ended involuntarily and who began looking for work;(2) Job leavers are persons who quit or otherwise terminatedtheir employment voluntarily and immediately beganlooking for work; (3) Persons who completed temporaryjobs, who began looking for work after the jobs ended; (4)Reentrants are persons who previously worked but were outof the labor force prior to beginning their job search; (5) Newentrants are persons who never worked. Each of these fivecategories 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 civilianworkers. (For statistical presentation purposes, "job losers"
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and "persons who completed temporary jobs" are combinedinto a single category until seasonal adjustments can bedeveloped for the separate categories.)
Jobseekers. All unemployed persons who made specificefforts to find a job sometime during the 4-week periodpreceding the survey week are classified as jobseekers.Jobseekers do not include persons classified as on temporarylayoff, who although often looking for work, are not requiredto do so to be classified as unemployed. Jobseekers aregrouped 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 employerdirectly or to a public or private employment agency,seeking assistance from friends or relatives, placing oranswering ads, or using some other active method. Exam-ples of the "other" category include being on a union orprofessional register, obtaining assistance from a communi-ty organization, or waiting at a designated labor pickuppoint. Passive methods, which do not qualify as job search,include reading (as opposed to answering or placing) "helpwanted" ads and 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 thepopulation 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 the CPSinterview, job search activity in the prior year, and reason fornot looking in the 4-week period prior to the survey week.This group includes discouraged workers, defined aspersons not in the labor force who want and are available fora job and who have looked for work sometime in the past 12months (or since the end of their last job if they held onewithin the past 12 months), but are not currently looking,because they believe there are no jobs available or there arenone 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 quarterlybasis.
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 the jobat 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 andsalary workers, self-employed workers, and unpaid familyworkers. Wage and salary workers receive wages, salary,commissions, tips, or pay in kind from a private employer orfrom a government unit. Self-employed persons are thosewho work for profit or fees in their own business, profession,trade, or farm. Only the unincorporated self-employed areincluded in the self-employed category in the class of workertypology. Self-employed persons who respond that theirbusinesses are incorporated are included among wage andsalary workers, because technically, they are paid em-ployees of a corporation. Unpaid family workers are personsworking without pay for 15 hours a week or more on a farmor in a business operated by a member of the household towhom they are related by birth or marriage.
Multiple jobholders. These are employed persons who,during the reference week, had either two or more jobs as 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 employed onlyin private households (cleaner, gardener, babysitter, etc.)who worked for two or more employers during the referenceweek is not counted as a multiple jobholder, since workingfor several employers is considered an inherent characteris-tic of private household work. Also excluded areself-employed persons with multiple businesses and personswith multiple jobs as unpaid family workers.
Hours of work. These statistics relate to the actual number ofhours 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. Forpersons 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 job andfor usual hours.
At work part time for economic reasons. Sometimes referredto as involuntary part time, this category refers to individualswho 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 part timefor economic reasons.
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At work part time for noneconomic reasons. This groupincludes those persons who usually work part time and wereat work 1 to 34 hours during the reference week for anoneconomic reason. Noneconomic reasons include, forexample: Illness or other medical limitations, child-careproblems or other family or personal obligations, school ortraining, retirement or Social Security limits on earnings,and being in a job where full-time work is less than 35 hours.The group also includes those who gave an economic reasonfor usually working 1 to 34 hours but said they do not want towork full time or were unavailable for such work.
Usual full- or part-time status. Data on persons "at work"exclude persons who were temporarily absent from a job andtherefore 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 reasons asbad 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-timestatus. In this context, full-time workers are those whousually worked 35 hours or more (at all jobs combined). Thisgroup will include some individuals who worked less than35 hours in the reference week for either economic ornoneconomic reasons and those who are temporarily absentfrom work. Similarly, part-time workers are those whousually work less than 35 hours per week (at all jobs),regardless of the number of hours worked in the referenceweek. This may include some individuals who actuallyworked more than 34 hours in the reference week, as well asthose who are temporarily absent from work. The full-timelabor force includes all employed persons who usually workfull time and unemployed persons who are either looking forfull-time work or are on layoff from full-time jobs. Thepart-time labor force consists of employed persons whousually work part time and unemployed persons who areseeking or are on layoff from part-time jobs. Unemploymentrates for full- and part-time workers are calculated using theconcepts of the full- and part-time labor force.
White, black, and other. These are terms used to describe therace of persons. Included in the "other" group are AmericanIndians, Alaskan Natives, and Asians and Pacific Islanders.Because of the relatively small sample size, data for "other"races are not published. In the enumeration process, race isdetermined by the household respondent.
Hispanic origin. This refers to persons who identifiedthemselves in the enumeration process as Mexican, PuertoRican, Cuban, Central or South American, or of otherHispanic origin or descent. Persons of Hispanic origin maybe of any race; thus they are included in both the white andblack population groups.
Vietnam-era veterans. These are persons who served in theArmed 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 personswho never served in the Armed Forces.
Usual weekly earnings. Data represent earnings before taxesand other deductions, and include any overtime pay,commissions, 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) areconverted 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 businesses were incorpo-rated) who usually work full time on their sole or primaryjob.
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 thispublication are calculated by linear interpolation of the $50centered interval within which each median falls. Dataexpressed in constant dollars are deflated by the ConsumerPrice Index for All Urban Consumers (CPI-U).
Single, never married; married, spouse present; and othermarital status. These are the terms used to define the maritalstatus 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 betemporarily absent on business, vacation, on a visit, in ahospital, etc. Other marital status applies to persons who aremarried, spouse absent; widowed; or divorced. Married,spouse absent relates to persons who are separated due tomarital problems, as well as husbands and wives who areliving apart because one or the other was employedelsewhere, on duty with the Armed Forces, or any otherreasons.
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 infamilies maintained by either men or women without aspouse.
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Family. A family is defined as a group of two or morepersons residing together who are related by birth, marriage,or adoption; all such persons are considered as members ofone family. Families are classified either as married-couplefamilies 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 earner orin which the husband, wife, or other person maintaining thefamily is either self-employed or in the Armed Forces.
HISTORICAL COMPARABILITY
Changes in concepts and methodsWhile current survey concepts and methods are very
similar to those introduced at the inception of the survey in1940, a number of changes have been made over the years toimprove 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 ofactivity 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 to thesample for the same 4 months of the following year. Beforethis system was introduced, households were interviewedfor 6 consecutive months and then replaced. The new systemprovided some year-to-year overlap in the sample, therebyimproving 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 thereference week.
• In 1957, the employment definition was modifiedslightly as a result of a comprehensive interagency review oflabor force concepts and methods. Two relatively smallgroups of persons classified as employed, under "with a jobbut: not at work," were assigned to different classifications.Persons on layoff with definite instructions to return to workwithin 30 days of the layoff date, and persons volunteeringthat they were waiting to start a new wage and salary jobwithin 30 days of interview, were, for the most part,reassigned to the unemployed classification. The onlyexception was the small subgroup in school during the
reference week but waiting to start new jobs, which wastransferred to not in the labor force.
• In 1967, more substantive changes were made as a resultof the recommendations of the President's Committee toAppraise Employment and Unemployment Statistics (theGordon 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 classifiedas unemployed. Previously, there was no such requirement.This revision to the concept mainly affected students, who,for example, may begin to look for summer jobs in the springalthough they will not be available until June or July. Suchpersons, until 1967, had been classified as unemployed butsince 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 in-formation on persons not in the labor force, including thosereferred to as "discouraged workers," defined as personswho indicate that they want a job but are not currentlylooking because they believe there are no jobs available ornone for which 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 PopulationSurvey (CPS) were introduced, which included a completeredesign of the questionnaire and the use of computer-as-sisted interviewing for the entire survey. In addition, therewere revisions to some of the labor force concepts anddefinitions, including the implementation of some changesrecommended in 1979 by the National Commission onEmployment and Unemployment Statistics (NCEUS, alsoknown as the Levitan Commission.) Some of the majorchanges to the survey were:
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a) The introduction of a redesigned and automatedquestionnaire. The CPS questionnaire was totally rede-signed in order to obtain more accurate, comprehensive, andrelevant information, and to take advantage of state-of-the-art computer interviewing techniques.
b) The addition of two, more objective, criteria to thedefinition of discouraged workers. Prior to 1994, to beclassified as a discouraged worker, a person must havewanted a job and be reported as not currently lookingbecause of a belief that no jobs were available or that therewere none for which he or she would qualify. Beginning in1994, persons classified as discouraged must also havelooked for a job within the past year (or since their last job, ifthey worked during the year), and must have been availablefor work during the reference week (a direct question onavailability was added in 1994; prior to 1994, availabilityhad been inferred from responses to other questions.) Thesechanges were made because the NCEUS and others felt thatthe previous definition of discouraged workers was toosubjective, relying mainly on an individual's stated desirefor a job and not on prior testing of the labor market.
c) Similarly, the identification of persons employed parttime for economic reasons (working less than 35 hours in thereference 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 work parttime: They must want and be available for full-time work.Previously, such information was inferred. (Persons whousually work full time but worked part time for an economicreason during the reference week are assumed to meet thesecriteria.)
d) Specific questions were added about the expectation ofrecall for persons who indicate that they are on layoff. To beclassified as "on temporary layoff/' persons must expect tobe recalled to their jobs. Previously, the questionnaire didnot include explicit questions about the expectation ofrecall.
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 asunemployed. Previously, such persons did not have to meetthe job-search requirement in order to be included amongthe unemployed.
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 "Evaluat-ing Changes in the Estimates," Monthly Labor Review,September 1993, and "Revisions in the Current Population
Survey Effective January 1994," in the February 1994 issueof this publication.
Noncomparability of labor force levelsIn addition to the refinements in concepts, definitions, and
methods made over the years, other changes have alsoaffected 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, totalemployment, and agricultural employment were increasedby about 350,000, primarily affecting the figures for totalsand men; 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 thisincrease was in nonagricultural employment; other laborforce categories 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;unemployment 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.Unemployment levels and rates were not significantlyaffected.
• 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 greatestimpact on estimates of 20- to 24-year old men—particularlythose 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 by76,000—(30,000 men and 46,000 women.) The addition ofthe refugees increased the black-and-other population byless than 1 percent in any age-sex group, with all of thechanges being confined to the "other" component of thepopulation.
• 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 differ-ences appear in "Revisions in the Current Population Surveyin January 1978" in the February 1978 issue of thispublication.
• 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 andseven-eighths of the sample households had race determinedby interviewer observation. It was not until January 1980that the 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 procedure.Differences between the old and new procedures existedonly for metropolitan and nonmetropolitan area estimates,not for the total United States. The reasoning behind thechange 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 ratioadjustment 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 theFebruary 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 changecaused substantial increases in the total population and in theestimates of persons in all labor force categories. Rates forlabor force characteristics, however, remained virtuallyunchanged. Some 30,000 labor force series were adjustedback to 1970 to avoid major breaks in series. The adjustmentprocedure used is also described in the February 1982 articlecited above. The revisions did not, however, smooth out thebreaks in series occurring between 1972 and 1979 (de-
scribed 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 SurveyBeginning in January 1983" in the February 1983 issue ofthis publication. There were only slight differences betweenthe old and new procedures in estimates of levels for thevarious labor force characteristics and virtually no differ-ences in estimates of participation rates.
• Beginning in January 1985, most of the steps of the CPSestimation procedure—the noninterview adjustment, thefirst-and second-stage ratio adjustments, and the compositeestimator—were revised. These procedures are described inthe Estimating Methods section. A description of thechanges and an indication of their effect on nationalestimates of labor force characteristics appear in "Changesin the Estimation Procedure in the Current PopulationSurvey Beginning in January 1985" in the February 1985issue of this publication. Overall, the revisions had only aslight effect on most estimates. The greatest impact was onestimates of persons of Hispanic origin. Major estimateswere revised back to January 1980.
• Beginning in January 1986, the population controlsused in the second-stage ratio adjustment method wererevised to reflect an explicit estimate of the number ofundocumented immigrants (largely Hispanic) since 1980and an improved estimate of the number of emigrants amonglegal foreign-born residents for the same time period. As aresult, the total civilian population and labor force estimateswere raised by nearly 400,000; civilian employment wasincreased by about 350,000. The Hispanic-origin populationand labor force estimates were raised by about 425,000 and305,000, respectively, and Hispanic employment by270,000. Overall and subgroup unemployment levels andrates were not significantly affected. Because of themagnitude of the adjustments for Hispanics, data wererevised back to January 1980 to the extent possible. Anexplanation of the changes and their effect on estimates oflabor force characteristics appear in "Changes in theEstimation Procedure in the Current Population SurveyBeginning in January 1986" in the February 1986 issue ofthis publication.
• Beginning in August 1989, the second-stage ratioestimate cells were changed slightly to decrease the chanceof very 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, population estimates usedin the second-stage estimation procedure were based on
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information obtained from the 1990 census (adjusted for theundercount as measured by the Census Bureau's PostEnumeration Survey). This change resulted in substantialincreases in total population and in all major labor forcecategories. Under the new population controls, the civiliannoninstitutional population increased by about 1.3 million,with much of the increase occurring among Hispanics.Estimates of employment were raised by about 950,000, andunemployment by approximately 200,000. In addition, theoverall unemployment rate rose by about 0.1 percentagepoint, largely reflecting the increase in the Hispanic share ofthe population, which has a higher-than-average incidenceof unemployment. For further information, see "Revisionsin the Current Population Survey Effective January 1994,"in the February 1994 issue of this publication.
Additionally, for the period January through May 1994,the composite estimation procedure was suspended due totechnical and logistical reasons.
Changes in the occupational and industrialclassification systems
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 tomajor activity or duties was added to the monthly CPSquestionnaire in order to determine more precisely theoccupational classification of individuals. As a result ofthese changes, meaningful comparisons of occupationalemployment levels could not be made between 1971-72 andprior years nor between those 2 years. Unemployment rateswere not significantly affected. For a further explanation ofthe changes in the occupational classification system, see"Revisions in Occupational Classifications for 1971" and"Revisions in the Current Population Survey" in theFebruary 1971 and February 1972 issues, respectively, ofthis 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 1980census was based on the 1972 Standard Industrial Classifica-tion (SIC) system, as modified in 1977. The adoption of thenew system had much less of an adverse effect on historicalcomparability than did the new occupational system. The
most notable changes from the 1970 system were thetransfer 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" inthe February 1983 issue of this publication.
Beginning in January 1992, the occupational and indus-trial classification systems used in the 1990 census wereintroduced into the CPS. (These systems were largely basedon the 1980 Standard Occupational Classification (SOC)and 1987 Standard Industrial Classification (SIC) systems,respectively.) There were a few breaks in comparabilitybetween the 1980 and 1990 census-based systems, particu-larly within the "technical, sales, and administrative sup-port" categories. The most notable changes in industryclassification were the shift of several industries from"business services" to "professional services" and thesplitting of some industries into smaller, more detailedcategories. A number of industry titles were 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 istraditionally redesigned and a new sample selected aftereach decennial census. Also, the number of sample areas andthe number of sample persons are changed occasionally.Most of these changes are made in order to improve theefficiency of the sample design and/or to increase thereliability of the sample estimates. When Alaska and Hawaiireceived statehood, three sample areas were added to theexisting sample to account for the population of these States.In January 1978, a supplemental sample of 9,000 housingunits, selected in 24 States and the District of Columbia, wasdesigned 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 Standard Metropolitan Statistical Areas (SMSA's), whichwere redefined in 1973. In January 1985, a new State-basedCPS sample was selected based on 1980 census information.A sample reduction of about 4,000 households was imple-mented in April 1988; they were reinstated during the8-month period, April-November 1989. A redesigned CPSsample based on the 1990 decennial census has beenselected for use during the 1990's. Households from this newsample will be phased in during the April 1994 through July1995 period. For further information, see "Redesign of the
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Sample for the Current Population Survey" in the May 1994issue of this publication.
The 1980 census-based sample design includes about72,000 housing units per month located in 729 selectedgeographic areas called primary sampling units (PSU's).The sample was initially selected so that specific reliabilitycriteria were met nationally, for each of the 50 States, for theDistrict of Columbia, and for the sub-State areas of NewYork City and the Los Angeles-Long Beach metropolitanarea. Since 1985, these reliability criteria have beenmaintained through periodic additions and deletions in theState samples. The criteria, given below, are based on thecoefficient of variation (CV) of the unemployment rate,where the CV is defined as the standard error of the estimatedivided by the estimate, expressed as a percentage. TheseCV controls assume a 6-percent unemployment rate toestablish a consistent specification of sampling error.
Nationally, a 1.8-percent CV is maintained on themonthly unemployment rate estimate. This means that achange of 0.2 percentage point in the unemployment rate issignificant at a 90-percent confidence level.
In 11 States—California, Florida, Illinois, Massachusetts,Michigan, New Jersey, New York, North Carolina, Ohio,Pennsylvania, and Texas—the most populous States at thetime of the 1980 decennial census, an 8-percent CV ismaintained on the monthly unemployment rate estimates. Inthe other 39 States and the District of Columbia, an8-percent CV is maintained on the annual unemploymentrate estimate. In New York City and the Los Angeles-LongBeach metropolitan area, a 9-percent CV is maintained onthe monthly unemployment rate estimates.
In the first stage of sampling, the 729 sample areas arechosen. In the second stage, ultimate sampling unit clusterscomposed of about four housing units each are selected.Each month, about 72,000 housing units are assigned fordata collection, of which about 60,000 are occupied and thuseligible for interview. The remainder are units found to bedestroyed, vacant, converted to nonresidential use, contain-ing persons whose usual place of residence is elsewhere, orineligible for other reasons. Of the 60,000 housing units, 4 to5 percent are not interviewed in a given month due totemporary absence (vacation, etc.), other failures to makecontact after repeated attempts, inability of persons con-tacted to respond, unavailability for other reasons, andrefusals to cooperate (about half of the noninterviews).Information is obtained each month for about 113,000persons 16 years of age and older.
Selection of sample areas. The entire area of the UnitedStates, consisting of 3,137 counties and independent cities,is divided into 1,973 sample units (PSU's). In most States, aPSU consists of a county or a number of contiguous counties.In New England and Hawaii, minor civil divisions are usedinstead of counties.
Metropolitan areas within a State are used as a basis forforming PSU's. Outside of metropolitan areas, counties
normally are combined, except where the geographic area ofthe sample county is very large. Combining counties toform PSU's provides greater heterogeneity; a typical PSUincludes urban and rural residents of both high and loweconomic levels and encompasses, to the extent feasible,diverse occupations and industries. Another importantconsideration is to have the PSU sufficiently compact sothat, with a small sample spread throughout, it can beefficiently canvassed without undue travel cost.
The 1,973 PSU's are grouped into strata within each State.Then one PSU is selected from each stratum with theprobability of selection proportional to the population of thePSU. There are 314 PSU's in strata by themselves that areself-representing, and generally these are the most popu-lated PSU's in each State. The remaining strata are formedby combining PSU's that are similar in such characteristicsas population growth; proportions of blacks and of Hispanics(in certain States); and population distribution by occupa-tion, industry, age, and sex. The PSU's, randomly selectedfrom these strata, are non-self-representing, because eachone chosen represents the entire stratum. The probability ofselecting a particular PSU in a non-self-representing stratumis proportional to its 1980 population. For example, within astratum, the chance that a PSU with a population of 50,000would be selected for the sample is twice that for a PSUhaving a population of 25,000.
Selection of sample households. Because the sample designis State based, the sampling ratio differs by State anddepends on the reliability requirements for estimates foreach State. The State sampling ratios range roughly from 1in every 200 households to 1 in every 2,500 households ineach stratum of the State. The sampling ratio occasionally ismodified slightly to hold the size of the sample relativelyconstant given the overall growth of the population. Thesampling ratio used within a sample PSU depends on theprobability of selection of the PSU and the sampling ratio forthe State. In a sample PSU with a probability of selection of 1in 10 with a State sampling ratio of 1 in 2,500, thewithin-PSU sampling ratio that results is 1 in 250, therebyachieving the desired ratio of 1 in 2,500 for the stratum.
Within each designated PSU, several steps are involved inselecting the housing units to be enumerated. First, the 1980census enumeration districts (ED's), which are administra-tive units and contain on the average about 300 housingunits, are ordered so that the sample would reflect thedemographic and residential characteristics of the PSU.Within each ED, the housing units are sorted geographicallyand are grouped into clusters of approximately four housingunits. Next, a systematic sample of these clusters of housingunits is selected.
The identification of the sample housing units within anED is made wherever possible from the list of ED addressescompiled during the 1980 census. The address lists are usedin about three-fourths of the ED's, primarily in urban areas.Area sampling is applied in the remaining ED's, mostly in
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rural areas. In ED's where address lists are used, automatedmethods are used to form clusters of geographicallycontiguous housing units. An effort is made to have all small,multi-unit addresses (two to four housing units) included inthe same cluster. The methods use the within-PSU samplingratio to identify appropriate clusters for the sample.Supplemental samples are also prepared to account foraddresses in isolated geographic areas and to account forhousing units not found on the address lists, includinghousing units newly constructed in the PSU since the censusdate. The addresses of these units are obtained mainly fromrecords of building permits.
In those ED's where area sampling methods are used,mainly rural areas, the ED's are subdivided into small land"chunks" with well-defined boundaries and having, ingeneral, an expected "size" of about 8 to 12 housing unitsor other living quarters. For each subdivided ED, one chunk(or more) is designated for the sample. When a selectedchunk contains about four households, for example, all unitsare included in the sample. When the size of the chunk isseveral times four units, an interviewer does not conductinterviews at all housing units in the chunk but uses asystematic sampling pattern to obtain approximately fourhouseholds. The remaining housing units in the chunk arethen available for further samples. Area ED's also make useof building permit lists to identify newly constructedhousing units.
Rotation of sample. Part of the sample is changed eachmonth. For each sample, eight representative subsamples orrotation groups are identified. A given rotation group isinterviewed 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 any 1 month,one-eighth of the rotation groups are in their first month ofenumeration, another eighth is in their second month, and soon. Under this system, 75 percent of the sample segments arecommon from month to month and 50 percent from year toyear for the same month. This procedure provides asubstantial amount of month-to-month and year-to-yearoverlap in the sample, thus providing better estimates ofchange and reducing discontinuities in the series of datawithout burdening any specific group of households with anunduly long period of inquiry.
Table 1-A provides a description of some aspects of theCPS sample design in use since 1947. A more detailed ac-count of the history of the CPS sample design appears in theCurrent Population Survey: Design and Methodology, Tech-nical Paper No. 40, Bureau of the Census, or Concepts andMethods Used in Labor Force Statistics Derived from theCurrent Population Survey, Report 463, Bureau of Labor Sta-tistics. A description of the 1980 census-based sample ap-pears in "Redesign of the Sample for the Current PopulationSurvey," in the May 1984 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. 1989Nov. 1989 to present3
Number of sampleareas
68230
13302333357449449461614629629729729729
Households eligible
Interviewed
21,00021,00033,50033,50033,50048,00045,00045,00053,50062,20057,80057,00053,20057,400
Not interviewed
500-1,000500-1,000
1,5001,5001,5002,0002,0002,0002,5002,8002,5002,5002,6002,600
Households visitedbut not eligible
3,000-3,5003,000-3,500
6,0006,0006,0008,5008,0008,000
10,00012,00011,00011,00011,50011,800
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.
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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 probability ofthe person being in the sample. This gives a rough measureof the number of actual persons that the sample person repre-sents. Since 1985, almost all sample persons within the sameState have the same probability of selection. Exceptions in-clude sample persons in New York and California, wherehouseholds in New York City and Los Angeles are selectedwith higher probability. Selection probabilities may also dif-fer for some sample areas due to field subsampling, which iscarried out when areas selected for the sample are found tocontain many more households than expected. Through a se-ries of estimation steps (outlined below), the selection prob-abilities are adjusted for noninterviews and survey under-coverage; data from previous months are incorporated intothe estimates through the composite estimation procedure.
1. Noninterview adjustment. The weights for all interviewedhouseholds are adjusted to the extent needed to account foroccupied sample households for which no information wasobtained because of absence, impassable roads, refusals, orunavailability of the respondents for other reasons. Thisnoninterview adjustment is made separately for clusters ofsimilar sample areas that are usually, but not necessarily,contained within a State. Similarity of sample areas is basedon Metropolitan Statistical Area (MSA) status and size.Within each cluster, there is a further breakdown byresidence. Each MSA cluster is split by "central city" and"balance of the MSA." Each non-MSA cluster is split by"urban" and "rural" residence categories. The proportion ofsample households not interviewed varies from 4 to 5percent, depending on weather, vacation, etc.
2. Ratio estimates. The distribution of the populationselected for the sample may differ somewhat, by chance,from that of the population as a whole in such characteristicsas age, race, sex, and State of residence. Because thesecharacteristics are closely correlated with labor forceparticipation and other principal measurements made fromthe sample, the survey estimates can be substantiallyimproved when weighted appropriately by the knowndistribution of these population characteristics. This isaccomplished through two stages of ratio adjustment, asfollows:
a. First-stage ratio estimation. The purpose of thefirst-stage ratio adjustment is to reduce the contribution tovariance 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'sthat are not self-representing and for those States that have a
substantial number of black households. The procedurecorrects for differences that existed in each State cell at thetime of the 1980 census between 1) the race distribution ofthe population in sample PSU's and 2) the race distributionof all PSU's (both 1 and 2 exclude self-representing PSU's.)
b. Second-stage ratio estimation. This procedure substan-tially reduces the variability of estimates and corrects, tosome 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 con-trols for 14 Hispanic and 5 non-Hispanic age-sexcategories
3) National civilian noninstitutional population con-trols for 66 white, 42 black, and 10 "other" age-sexcategories
The independent population controls are prepared byprojecting forward the resident population as enumerated onApril 1, 1990. The projections are derived by updatingdemographic census data with information from a varietyof other data sources that account for births, deaths, and netmigration. Estimated numbers of resident ArmedForces personnel and institutionalized persons reduce theresident population to the civilian noninstitutional popula-tion. Estimates of net census undercount, determined fromthe Post Enumeration Survey, are added to the populationprojections. Prior to January 1994, the projections werebased on earlier censuses, and there was no correction forcensus undercount. A summary of the current proceduresused to make population projections is given in "Revisionsin the Current Population Survey Effective January 1994,"appearing in the February 1994 issue of this publication.
3. Composite estimation procedure. The last step in the prep-aration of most CPS estimates makes use of a composite es-timation procedure. The composite estimate consists of aweighted average of two factors: The two-stage ratio esti-mate based on the entire sample from the current month andthe composite estimate for the previous month, plus an esti-mate of the month-to-month change based on the six rotationgroups common to both months. In addition, a bias adjust-ment term is added to the weighted average to account forrelative bias associated with month-in-sample estimates.This month-in-sample bias is exhibited by unemploymentestimates for persons in their first and fifth months in theCPS being generally higher than estimates obtained for theother months.
The composite estimate results in a reduction in thesampling error beyond that which is achieved after the twostages of ratio adjustment. For some items, the reduction is
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substantial. The resultant gains in reliability are greatest inestimates of month-to-month change, although gains arealso usually obtained for estimates of level in a given month,change from year to year, and change over other intervals oftime.
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 alwaysequal 100 percent because of rounding. Differences, howev-er, are insignificant.
Reliability of the estimatesThere are two types of errors possible in an estimate based
on a sample survey—sampling and nonsampling. Thestandard 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 toquantify some sources of nonsampling error in the CPS, asdiscussed 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 toprovide 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 rotation planused for the sample, since the level of the estimates varies byrotation group. A description of these effects appears in "TheEffects of Rotation Group Bias on Estimates From Panel
Surveys," by Barbara A. Bailar, Journal of the AmericanStatistical Association, Volume 70, No. 349, March 1975.
Undercoverage in the CPS results from missed housingunits and missed persons within sample households. TheCPS covers about 94 percent of the decennial censuspopulation. It is known that the CPS undercoverage varieswith age, sex, race, and Hispanic origin. Generally, under-coverage is larger for men than for women and larger forblacks, Hispanics, and other races than for whites. Ratioadjustment to independent age-sex-race-origin populationcontrols, as described previously, partially corrects for thebiases due to survey undercoverage. However, biases existin the estimates to the extent that missed persons in missedhouseholds or missed persons in interviewed householdshave different characteristics than interviewed persons inthe 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 andBarbara Bailar, Statistical Policy Working Paper 3, U.S.Department of Commerce, Office of Federal StatisticalPolicy and Standards; in "The Current Population Survey:An Overview," by Marvin Thompson and Gary Shapiro,Annals of Economic and Social Measurement, Vol. 2, April1973; and in The Current Population Survey, Design andMethodology, Technical Paper No. 40, Bureau of theCensus, U.S. Department of Commerce. This last documentincludes a comprehensive discussion of various sources oferrors and describes attempts to measure them in the CPS.
Sampling error. When a sample rather than the entirepopulation is surveyed, estimates differ from the truepopulation values that they represent. This difference, orsampling error, occurs by chance, and its variability ismeasured by the standard error of the estimate. Sampleestimates from a given survey design are unbiased when anaverage of the estimates from all possible samples wouldyield, hypothetically, the true population value. In this case,the sample estimate and its standard error can be used toconstruct approximate confidence intervals, or ranges ofvalues, that include the true population value with knownprobabilities. If the process of selecting a sample from thepopulation were repeated many times and an estimate and itsstandard error calculated for each sample, then:
1. Approximately 68 percent of the intervals from onestandard error below the estimate to one standard errorabove the 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 twostandard 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 are
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believed to be small enough so that these confidence intervalstatements are approximately true.
Since it would be too costly to develop standard errors forall CPS estimates, generalized variance function techniquesare used to calculate sets of standard errors for various typesof labor force characteristics. It is important to keep in mindthat standard errors computed from these methods reflectcontributions from sampling errors and some kinds ofnonsampling errors and indicate the general magnitude of anestimate's standard error rather than its precise value.
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 1993 as well as theuse of new population controls based on the 1990 census. Foryears prior to 1967, the standard errors obtained must befurther adjusted to reflect the CPS sample size in effect atthat time. For years prior to 1956, standard errors should bemultiplied by 1.5; for the years 1956 through 1966, standarderrors should be multiplied by 1.22.
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.These standard errors are based on levels of recent estimatesand can be determined directly by finding the characteristicof interest.
Tables 1-D and 1-E show standard errors for monthlylevels and consecutive monthly changes in levels for generalemployment status characteristics. The standard errors arecalculated using linear interpolation based on the size of themonthly estimates.
Tables 1-F and 1-G give parameters that can be usedwith formulas to calculate a standard error on nearlyany specified level, unemployment rate, percentage, orconsecutive month-to-month change. For monthly levelsand consecutive month-to-month changes in levels, tables1-F and 1-G are preferred to tables 1-D and 1-E, sincethe formulas provide more accurate results than linearinterpolation.
Table 1-H presents factors used to convert standard errorsof monthly levels and rates determined from tables 1-B, 1-C,1-D., and 1-F to standard errors pertaining to quarterly andyearly averages, consecutive year-to-year changes ofmonthly 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 approximating
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 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
Hispanic origin, 16 years andover:
Civilian labor forceEmployedUnemployed
Monthlylevel
275295146
179194103
20420990
898758
12712966
727645
908943
363128
12112358
Consecutive-month change
204224160
152164118
155160105
888675
949875
636753
686850
383233
8510068
standard 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.
Use of tables 1-B and 1-C. These tables provide a quick ref-erence for standard errors of major characteristics. Table 1-Bgives approximate standard errors for estimates of monthlylevels and consecutive month-to-month changes in levelsfor major employment status categories. Table 1-C givesapproximate standard errors for estimates of monthly unem-ployment rates and consecutive month-to-month changes inunemployment rates for some demographic, industrial, andoccupational categories. For characteristics not given intables 1-B and 1-C, refer to either tables 1-D and 1-E ortables 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-
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Table 1-C. Standard errors for unemployment rates bymajor characteristics
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 present . . .Women who maintain families
Occupation
Executive, administrative, andmanagerial
Professional specialtyTechnicians and related
SUDDOrtSalesAdministrative support,
including clericalPrivate householdProtective serviceService, except private
household and protectiveservice
Precision production, craft, andrepair
Machine operators, assemblers,and inspectors
Transportation and materialmoving
Handlers, equipment cleaners,helpers, and laborers
Farming, forestry, and fishing
Industry
Nonagricultural private wagand salary workersGoods-producing industries
MiningConstructionManufacturing
Durable goodsNondurable goods
Service-producingindustries
Transportation, communi-cations, and public utilities . . .
Wholesale and retail tradeFinance and services
Government workersAgricultural wage and salary
workers
Monthlylevel
0.11.16.15.16.16.76.12.47.53.16.19.54
.23
.19
.48
.31
.251.27.72
.36
.36
.52
.57
.74
.73
.13
.281.57
.73
.29
.38
.45
.15
.43
.27
.19
.21
1.19
Consecutive-month change
0.13.19.18.19.19
1.00.14.55.63.19.22.65
.27
.23
.57
.37
.301.51.86
.43
.43
.62
.68
.88
.87
.16
.331.87.87.34.45.53
.18
.51
.33
.23
.25
1.42
mate standard error of 204,000 is given in table 1-B in therow, "total, women 20 years and over: Civilian labor force."A 90-percent confidence interval as shown by these data,would then be the interval from 53,674,000 to 54,326,000.Concluding that the true labor force level lies within this in-terval would be correct for roughly 90 percent of all possiblesamples.
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 laborforce characteristics by race and Hispanic origin. For majorcategories not shown, such as male or female, tables 1-F and
1-G can be used. Standard errors for intermediate values notshown in the tables may be approximated by linear inter-polation. For table 1-E, which applies to estimates of con-secutive month-to-month change, the average of the twomonthly levels (not the change) is used to select the ap-propriate row in the table.
Illustration. Assume that between 2 consecutive months theestimated 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 unemploy-ment and agricultural employment, 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 as252,000, and the standard error corresponding to120,000,000 is given as 223,000. Use linear interpolation tofind the approximate standard error on month-to-monthchange corresponding to the level 116,150,000; one methodof calculation is given below.
223,000 + 1/120,000,000-116,150,000
\120,000,000-100,000,0001(252,000-223,000) =229,000
Thus, a 90-percent confidence interval for the true month-to-month change would be approximately the interval from734,000 to 1,466,000.
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 formulasgiven below that allow the user to calculate standard errors.
Table 1-G, which applies to estimates of consecutivemonthly change, lists parameters for some characteristicsclassified by a measure of correlation between monthly esti-mates. Estimates of the number of persons employed fulltime, for example, change relatively little from 1 month tothe next, and the two monthly estimates are said to be highlycorrelated. Consecutive monthly estimates of part-time em-ployment, by contrast, have low correlation, because theseestimates are relatively volatile.
Major characteristics for which consecutive monthly esti-mates 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 characteristics.When high or low correlation is not specified in table 1-G,the parameters in this table should be selected from the rowslabeled "most characteristics" or from rows not specifyingcorrelation.
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Table 1-D. Standard errors for estimates of monthly levels
(In thousands)
Estimatedmonthly level
501005001,0002,0004,0006,0008,00010,00015,00020,00030,00040,00050,00060,00070,00080,000100,000120,000140,000160,000180,000
Characteristic
Agriculturalemployment
Total orwhite
1217395890
147202256310
Black
1217375171
Unemployment
Total orwhite
1116365171
100122140155187213
Black
121736516989989992
Hispanicorigin
1218395511
105
Labor force data other than agriculturalemployment and unemployment
Total
1116365172
101123141156188214253281301316324328321294238
White
1116365172
101122140156187212249275293304308307287238
Black
121737517196
11112112712598
Hispanic origin
Employed
1318415778
10311612212289
Civilian laborforce or not
in labor force
1318415778
10311612212289
Table 1-E. Standard errors for estimates of month-to-month change in levels(In thousands)
Estimatedmonthly level
501005001,0002,0004,0006,0008,00010,00015,00020,00030,00040,00050,00060,00070,00080,000100,000120,000140,000160,000180,000
Characteristic
Agriculturalemployment
Total orwhite
1318405573888665
Black
1116354967
Unemployment
Total orwhite
1419426084
115138155168190200
Black
1419435978969781
Hispanicorigin
1521466589
118
Labor force data other than agriculturalemployment and unemployment
Total
91329425982
100115128154174206228244254260262252223164
White
91329425982
100115128154174206228244254260262252223164
Black
1014304258789096999043
Hispanic origin
Employed
11163448658696
1009860
Civilian laborforce or not
in labor force
9132940557282868662
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Standard errors of estimated levels. The approximatestandard error, sx, of an estimated monthly level, x, can beobtained 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 approximate thestandard error of an estimated month-to-month change inlevel; simply average the levels for the 2 consecutive monthsand use the parameters from table 1-G.
centage or rate, p, can be obtained using the following for-mula, where y is the estimated number of persons in the base.
sx = / \ /ax '
Illustration. Assume that in a given month there are an esti-mated 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 = -0.000015942 b = 2576.83
sx = (-0.000015942) (6,000,000) 2+ (2576.83) (6,000,000) =122,000
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.
sx= 'V-0.000083130) (6,100,000) 2+ (3652.76) (6,100,000) =139,000
An approximate 90-percent confidence interval for thetrue month-to-month change would be the interval from-22,000 to 422,000. Because this interval covers zero, onecannot assert at this level of confidence that any real changehas occurred in the unemployment level. This result can alsobe expressed by saying that the apparent change of 200,000is 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 than 75,000 persons,the quarterly average base is greater than 60,000 persons, orthe 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, usethe parameters from table 1-F or 1-G relevant to the numera-tor. The approximate standard error, Sy,p> of an estimated per-
_by P(IOO-P)
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 percent-age, proceed as follows. Obtain the parameter b = 2204.62from table 1-F ("labor force and not-in-labor-force data oth-er than agricultural employment and unemployment, totalwomen"). Apply the formula to obtain:
/ 2204.625,600,000
(32) (100 - 32) = 0.9 percent
Suppose that in the next month 5,700,000 women in thissame age group are reported employed and that 1,950,000 or34 percent are part-time workers. To estimate the standarderror on the observed month-to-month change of 2 percent-age points, first average the values for p and y over the 2months to get p = 33 percent and y = 5,650,000. Next, obtainthe parameter b = 2344.57 from table 1-G ("labor force andnot-in-labor-force data other than agricultural employmentand unemployment, total or white, women, low correlationcharacteristics") and apply the formula as follows.
Sy,p -2344.575,650,000
(33) (100-33) =1.0 percent
It should be noted that the numerator of the percentage(part-time employed) determined the choice of correlation.If the example had illustrated percentages of womenemployed 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" or "both sexes, 16 to 19years"). In situations like this, where it is not clear whichrow applies, a general rule to follow is to choose the row withthe largest b parameter. This gives a more conservative esti-mate 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 oryearly averages, changes in consecutive quarterly or yearlyaverages, and consecutive year-to-year changes in monthlyestimates. Table 1-H gives factors to be applied only to stan-dard errors for monthly levels. Follow these three basicsteps:
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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 agri-cultural employment andunemployment:
Total1
Men 1
WomenBoth sexes, 16 to 19 years
White 1
MenWomenBoth sexes, 16 to 19 years
BlackMen . . . .WomenEBoth sexes, 16 to 19 years
Hispanic origin
Not in labor force, total or white,excluding women and 16- to19-year-olds
Agricultural employment:
Total or whiteMen . . . .Women or both sexes, 16
to 19 years
Black
Hispanic origin:
Total or womenMen or both sexes, 16 to
19 years
Unemployment:
Total or whiteBlackHispanic origin
a
-0.000015693-.000029081-.000026234-.000155877
-.000017747-.000032645-.000029869-.000185057
-.000112595-.000271289-.000164088-.001181647
-.000190760
.000005264
.000694096
.000761532
- 000022089
-.000121207
.010960039
.014443239
-.000015942-.000190601-.000094114
b
2601.352408.582204.622217.37
2600.882410.862201.862221.96
2735.542553.882298.232570.17
3394.71
722.21
2656.522461.77
2250 29
2749.05
2522.57
1483.55
2576.832744.703116.52
1 Excludes not-in-labor-force data.
Step 1. Average estimates appropriately. For quarterlyestimates, average the 3 monthly estimates. For yearly esti-mates, 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 estimate us-ing table 1-B or 1-C, or apply the procedures for table 1-D or1-F to the average calculated in step 1, as if the average werean estimate for a single month.
Step 3. Determine the standard error on the average or onthe estimate of change. Multiply the result from step 2 by theappropriate factor from table 1-H.
Illustration. Suppose that standard errors are desired for aquarterly average of black employment levels and for thechange in averages 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 ("la-bor force and not-in-labor-force data other than agriculturalemployment and unemployment, black, total")- Use the for-mula for sx to compute an approximate standard error for amonthly estimate of 11,600,000.
a = -0.000112595 b=2735.54
(-0.000112595)(ll,600,000)2+(2735.54)(ll,600,000) =129,000
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 112,000 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.The average of the 2 quarters is 11,400,000.
Step 2. Obtain the a and b parameters as above and use theformula for sx to compute an approximate standard error forthe estimate of 11,400,000, treating it as an estimate for asingle month.
sx= /V(-O.000112595)(ll,400,000)2+(2735.54)(11,400,000) =129,000
Step 3. Multiply this result by the factor. 84 from table 1 -H(column labeled "change in quarterly averages" and rowlabeled "labor force and not-in-labor-force data other thanagricultural employment and unemployment, black"). Thisgives an approximate standard error of 108,000 on theestimated change of 400,000 from 1 quarter to the next.
The estimated change clearly exceeds 2 standard errors;therefore, one could conclude from these data that thechange in quarterly averages is significant.
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Table 1-G. Parameters for computation of standard errors for estimates of month-to-month change in levels
Characteristic
Labor force and not-in-labor-force data other than agriculturalemployment and unemployment:
Total or white:Most characteristics ,High 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:TotalCivilian 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 years
Women, 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
Seif-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
-0.000011078-.000008243-.000014344
-.000020055-.000014922-.000051814
-.000018844-.000053069
-.000169260
-.000088926-.001732525
-.000210520-.002587620
-.000140581-.002078112
-.001176111
-.000145304-.000095111-.002425480-.000227656
-.000366130-.000315338
-.000351254-.000597224.000115653
-.000109948-.017161885
.002654758
.002647371
-.000218152
-.000083130-.000063570
-.000372215.000043286
-.000233757-.000921018
1743.771363.602222.55
1674.071307.962325.37
1472.652344.57
2280.05
1871.205676.12
1986.815079.90
1621.484723.08
2729.02
2417.721682.247511.812045.54
3150.642239.22
3344.453450.082062.60
2493.695121.00
4043.983510.08
1822.59
3652.764463.07
3800.302691.66
4404.266132.68
1 High correlation characteristics include employed full-time, manufacturing,service workers, and not in the labor force. Low correlation characteristics in-clude all part-time workers; employed, with a job, but not at work; unpaid familyworkers; 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 correla-tion characteristics include part-time jobseekers, reentrants, persons unem-ployed for less than 5 weeks and from 5 to 14 weeks.
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Table 1-H. Factors to be used with tables 1-B, 1-C, 1-D, and 1-F to compute the approximate standard errors for levels, rates, andpercentages for year-to-year change of monthly estimates, quarterly averages, change in quarterly averages, yearly averages, andchange in yearly averages
Characteristic
Factor
Year-to-yearchange ofmonthlyestimate
Quarterlyaverages
Changein
quarterlyaverages
Yearlyaverages
Changein
yearlyaverages
Agricultural employment:
Total or menWomenBoth sexes, 16 to 19 yearsPart time
Unemployment:
TotalPart time
Labor force and not-in-labor-force data other thanagricultural employment and unemployment:
Total or whiteBlackHispanic originBoth sexes, 16 to 19 yearsPart time
1.301.301.301.40
1.401.40
1.301.301.301.301.40
0.92.82.78.80
.74
.67
.87
.87
.87
.79
.82
0.70.84.88.80
.88
.88
.85
.84
.80
.88
.90
0.79.57.49.59
.46
.42
.65
.65
.65
.54
.51
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 agenciesin the Current Employment Statistics (CES) or establish-ment survey to collect data each month on employment,hours, and earnings from a sample of nonfarm establish-ments (including government). In March 1993, this sampleincluded over 390,000 reporting units. From these data, alarge number of employment, hours, and earnings series inconsiderable industry and geographic detail are preparedand published each month. Historical statistics can be foundin Employment, Hours, and Earnings, United States, andEmployment, Hours, and Earnings, States and Areas. Thesedata are also available in machine-readable format.
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 rates fromselected respondents through computer-assisted interviews,touch-tone self-response, and voice recognition technology.
The respondents extract the requested data from their pay-roll records, which must be maintained for a variety of taxand accounting purposes. All firms with 250 employees ormore are asked to participate in the survey, as well as a sam-ple of smaller firms.
A "shuttle" schedule (BLS form 790 series) is used formail respondents. It is submitted each month by the respon-dents, edited by the State agency, and returned to the respon-dent for use again the following month.
The technical characteristics of the shuttle schedule areparticularly important in maintaining continuity and consis-tency in reporting from month to month. The shuttle designautomatically exhibits the trends of the reported data cov-ered by the schedule during the year; therefore, the relation-ship of the current data to the data for the previous months isshown. The schedule also has operational advantages. Forexample, accuracy and economy are achieved by enteringthe identification codes and the address of the reporter onlyonce 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 informationprovided on the forms to develop State and area estimates ofemployment, hours, and earnings. At BLS, the data areedited again by computer to detect processing and reportingerrors which may have been missed in the initial State edit-ing; the edited 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 totalsbecause of the effects of differing industrial and geographicstratification and differences in the timing of benchmark ad-justments.
CONCEPTS
Industrial classificationEstablishments reporting on Form BLS 790 are classified
into industries on the basis of their principal product or activ-ity determined from information on annual sales volume.Since January 1980, this information is collected on a sup-plement to the quarterly unemployment insurance tax re-ports filed by employers. For an establishment making morethan one product or engaging in more than one activity, theentire employment of the establishment is included underthe industry indicated by the principal product 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 ClassificationManual (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 includes the12th day of the month. For Federal Government establish-ments, employment figures represent the number of personswho occupied positions on the last day of the calendarmonth. Intermittent workers are counted if they performedany 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, on leavewithout pay, on strike for the entire period, or who were hiredbut have not yet reported during the period.
Indexes of diffusion of employment change (table B-6).These indexes measure the dispersion among industries ofthe change in employment over the specified time span.Beginning with August 1990 data, the overall indexes are
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calculated from 356 seasonally adjusted employment series(3-digit industries) covering all nonfarm payroll employ-ment in the private sector. The manufacturing diffusion in-dexes 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 on wheth-er its employment showed a decrease, no change, or an in-crease, respectively, over the time span. The average value(mean) is then calculated, and this percent is the diffusion in-dex 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 increasing em-ployment, and values below 50 indicate that more had de-creasing employment. The margin between the percent thatincreased and the percent that decreased is equal to the dif-ference between the index and its complement, i.e., 100 mi-nus 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 effectof assigning a value of 50 percent to the unchanged compo-nents when computing the index.)
Industry hours and earningsAverage hours and earnings data are derived from reports
of payrolls and hours for production and related workers inmanufacturing 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 closelyassociated 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, demoli-tion, repair, maintenance, etc., whether working at the site ofconstruction or working in shops or yards at jobs (such asprecutting and preassembling) ordinarily performed bymembers 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 services areclosely associated with those of the employees listed.
Payroll. This refers to the payroll for full- and part-time pro-duction, construction, or nonsupervisory workers who re-ceived pay for any part of the pay period which includes the12th day of the month. The payroll is reported before deduc-tions of any kind, e.g., for old-age and unemployment insur-ance, group insurance, withholding tax, bonds, or uniondues; also included is pay for overtime, holidays, vacation,and sick leave paid directly by the firm. Bonuses (unlessearned and paid regularly each pay period); other pay notearned in the pay period reported (e.g., retroactive pay); tips;and the value of free rent, fuel, meals, or other payment inkind are excluded. Employee benefits (such as health andother types of insurance, contributions to retirement, 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,construction, 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 paid be-cause the hours were in excess of the number of hours of ei-ther the straight-time workday or the workweek during thepay period which included the 12th of the month. Weekendand holiday hours are included only if overtime premiumswere paid. Hours for which only shift differential, hazard, in-centive, or other similar types of premiums were paid are ex-cluded.
Average weekly hours. The workweek information relates tothe average hours for which pay was received and is differentfrom standard or scheduled hours. Such factors as unpaid ab-senteeism, labor turnover, part-time work, and stoppagescause average weekly hours to be lower than scheduledhours of work for an establishment. Group averages furtherreflect changes in the workweek of component 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 figuresfor 1982. For basic industries, the hours aggregates are theproduct of average weekly hours and production worker ornonsupervisory worker employment. At all higher levels ofindustry aggregation, hours aggregates are the sum of thecomponent aggregates.
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Average overtime hours. The overtime hours represent thatportion of the average weekly hours which exceeded regularhours and for which overtime premiums were paid. If an em-ployee were to work on a paid holiday at regular rates, re-ceiving as total compensation his or her holiday pay plusstraight-time pay for hours worked that day, no overtimehours would be reported.
Because overtime hours are premium hours by definition,weekly hours and overtime hours do not necessarily move inthe same direction from month to month. Such factors aswork stoppages, absenteeism, and labor turnover may nothave the same influence on overtime hours as on averagehours. Diverse trends at the industry group level also may becaused by a marked change in hours for a component indus-try where little or no overtime was worked in both the pre-vious 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 also re-flect shifts in the number of employees between relativelyhigh-paid and low-paid work and changes in workers' earn-ings in individual establishments. Averages for groups anddivisions further reflect changes in average hourly earningsfor individual industries.
Averages of hourly earnings differ from wage rates. Earn-ings are the actual return to the worker for a stated period oftime; rates are the amount stipulated for a given unit of workor time. The earnings series do not measure the level of totallabor costs on the part of the employer since the followingare excluded: Irregular bonuses, retroactive items, paymentsof various welfare benefits, payroll taxes paid by employers,and earnings for those employees not covered under produc-tion worker, construction worker, or nonsupervisory em-ployee 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) manufac-turing. The same concepts and estimation methods apply tothese series as apply to the average hourly earnings series de-scribed above; the one difference between the series is defi-nitional. The payroll data used to calculate this series in-clude lump-sum payments made to production workers inlieu of general wage rate increases; such payments are ex-cluded from the definition of gross payrolls used to calculatethe other average hourly earnings series.
For each sample establishment in SIC 3721 and SIC 3761covered 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 year andcover the following 12-month period. In order to spread thepayment across this time period, a prorated portion of thepayment is added to the payroll each month. This prorated
portion is adjusted by an exit rate to reduce the lump-sumamount to account for persons who received the payment butleft 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 for theindustry group by the sum of total production worker hoursand one-half of total overtime hours. No adjustments aremade for other premium payment provisions, such as holi-day work, late-shift work, and overtime rates other than timeand one-half.
Railroad hours and earnings. The figures for Class I rail-roads (excluding switching and terminal companies) arebased on monthly data summarized in the M-300 report ofthe Interstate Commerce Commission and relate to all em-ployees except executives, officials, and staff assistants(ICC group I) who received pay during the month. Averagehourly earnings are computed by dividing total compensa-tion by total hours paid for. Average weekly hours are ob-tained by dividing the total number of hours paid for, re-duced to a weekly basis, by the number of employees, as de-fined above. Average weekly earnings are derived by multi-plying average 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 earnings butalso 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 employeesare not paid may cause the average workweek to fluctuate.
Long-term trends of average weekly earnings can be af-fected by structural changes in the makeup of the work force.For example, persistent long-term increases in the propor-tion of part-time workers in retail trade and many of the ser-vices industries have reduced average workweeks in theseindustries and have affected the average weekly earnings se-ries.
Real earnings. These earnings are in constant dollars andare calculated from the earnings averages for the currentmonth using a deflator derived from the Consumer Price In-dex for Urban Wage Earners and Clerical Workers (CPI-W).The reference year for these series is 1982.
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 employeescovered by unemployment insurance (UI) tax laws. These
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annual benchmarks, established for March of each year, areprojected forward for each subsequent month based on thetrend of the sample employment, using an estimation proce-dure 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.
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 resultprimarily to help account for new business births during themonth.
BenchmarksThe establishment survey constructs annual benchmarks
in order to realign the sample-based employment totals forMarch of each year with the Ul-based population counts forMarch. These population counts are much less timely thansample-based estimates; however, they provide an annualpoint-in-time census for employment.
Population counts are derived from the administrative fileof employees covered by UI. All employers covered by UIlaws are required to report employment and wage informa-tion to the appropriate State employment security agencyfour times a year. Approximately 99 percent of in-scope pri-vate employment is covered by UI. A benchmark for the re-maining 1 percent is constructed from alternate sources, pri-marily records from the Interstate Commerce Commissionand the Social Security Administration. The full benchmarkdeveloped for March replaces the March sample-based esti-mate, for each basic cell. The monthly sample-based esti-mates 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 wedge islinear; eleven-twelfths of the March difference is added tothe 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 accu-mulated at a steady rate throughout the current benchmarkyear.
Estimates for the 11 months following the March bench-mark are also recalculated each year. These post-benchmarkestimates reflect the application of sample-based monthlychanges to new benchmark levels for March, and the recom-putation of bias adjustment factors for each month. Bias fac-tors are updated to take into account the most recent experi-ence of the estimates generated by the monthly sample ver-sus the full universe counts derived from the UI.
Following the revision of basic employment estimates, allother derivative series (e.g., production workers, averagehourly earnings) are also recalculated. New seasonal adjust-ment factors are calculated and all data series for the pre-vious 5 years are reseasonally adjusted, prior to full publica-tion of all revised data in June of each year.
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 a ma-jority 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, particular-ly employment change and average earnings, often vary sig-nificantly between establishments of different size. Stratifi-cation reduces the variance of the published industry levelestimates.
Link relative technique. A ratio of the previous to the currentmonth's employment is computed from a sample of estab-lishments reporting for both months—this ratio is called a"link relative." For each basic cell, a link relative is com-puted and applied to the previous month's employment esti-mate to derive the current month's estimate. Thus a Marchbenchmark is moved forward to the next March benchmarkthrough application of monthly link relatives. Basic cell esti-mates created through the link relative technique are aggre-gated to form published industry level estimates, for em-ployment, as described in table 2-A. Basic estimation andaggregation methods for the hours and earnings data are alsoshown in table 2-A.
Bias adjustment. Bias adjustment factors are computed atthe 3-digit SIC level, and applied each month at the basic celllevel, as part of the standard estimation procedures. Themain purpose of bias adjustment is to reduce a primarysource of nonsampling error in the survey, the inability tocapture, on a timely basis, employment generated by newfirm births. There is a several month lag between an estab-lishment opening for business and its appearing on the UIuniverse frame and being available for sampling. Becausenew firms generate a portion of employment growth eachmonth of the year, nonsampling methods must be used tocapture this growth, otherwise substantial under estimationof total employment levels would occur. Formal bias adjust-ment procedures have been used by the establishment
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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 month toall employees in previous month, for sample es-tablishments which reported for both months.1
All-employee estimate for current month multi-plied by (1) ratio of production or nonsuper-visory workers to all employees in sample estab-lishments for current month, (2) estimated ratio ofwomen to all employees.2
Production or nonsupervisory worker hours di-vided by number of production or nonsuper-visory workers.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 esti-mates, or estimates of women employees, forcomponent cells.
Average, weighted by production or nonsupervi-sory worker employment, of the average weeklyhours for component cells.
Average, weighted by production worker employ-ment, of the average weekly overtime hours forcomponent cells.
Average, weighted by aggregate hours, of the av-erage 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 (produc-tion worker employment multiplied by averageweekly overtime hours) divided by annual sum ofemployment.
Annual total of aggregate payrolls (produqt 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 employ-ment 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 productby bias adjustment factors, which compensate for the underrepresen-tation of newly formed enterprises and other sources of bias in thesample.
2 The sample production-worker ratio, women-worker ratio, aver-age weekly hours, average overtime hours, and average hourly
earnings are modified by a wedging technique designed to compen-sate for changes in the sample arising mainly from the voluntary char-acter of the reporting. The wedging procedure accepts the advantageof continuity from the use of the matched sample and, at the same time,tapers or wedges the estimate toward the level of the latest sampleaverage.
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survey since the late 1960's. Prior to the 1983 benchmark,bias adjustments were derived from a simple mean errormodel, which averaged undercount errors for the previous 3years to arrive at bias projections for the coming year. Theundercount errors were measured as the difference betweensample-based estimate results and benchmark levels.
This procedure eventually proved inadequate during peri-ods of rapidly changing employment trends, and the bias ad-justment 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 to reactto changing economic conditions or changing error structurerelationships between the sample-based estimates and theUI universe counts. A principal limitation is the inability toincorporate UI universe counts as they become available onan ongoing basis, with a 6- to 9-month lag from the referenceperiod. Thus, the current quarterly outputs from the modelare subject to intervention analysis, and adjustments can bemade to its results, prior to the establishment of final biaslevels for a quarter. Review is done primarily in terms ofdetection of outlier (i.e., abnormally high or low) values, andby comparison of CES sample and bias trends with the mostrecent quarterly observations of UI universe counts. TheBLS currently has under study improved bias models using aKalman filter technique, which would allow a more formal,structured incorporation of each quarter's UI universecounts in the bias modeling process.
Although the primary function of bias adjustment is to ac-count for employment resulting from new business forma-tions, it also adjusts for other elements of nonsampling errorin the survey, because the primary input to the modeling pro-cedure is total estimation error. Significant among thesenonsampling error sources is a business death bias. When asampled firm closes down, most often it simply does not re-spond to the survey that month, rather than reporting zeroemployment. Followup with nonrespondents may reveal anout-of-business firm, but this information is often receivedtoo late to incorporate into monthly estimates, and the firm issimply treated as a nonrespondent for that month.
Because the bias adjustments incorporated into the esti-mates represent a composite of a birth bias, death bias, and anumber of other differences between the sample-based esti-mates and the population counts, the monthly bias adjust-ment levels have no specific economic meaning in and ofthemselves.
Table 2-B summarizes bias adjustments for the 1983-93period. 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 averageamount of bias which was added each month over the courseof an interbenchmark period. For example, the bias addedfor 1993 is listed as 83,000; this represents the average ofbias adjustments made each month over the period April1992 through March 1993. Bias required is computed retro-spectively, after the March benchmark for a given year isknown. Bias required figures are calculated by taking thedifference between a March estimate derived purely fromthe sample (i.e., a series calculated without bias adjustment)and the March benchmark. Dividing this figure by 12 givesthe average monthly bias required figure. The bias requiredis thus defined as the amount of bias adjustment whichwould have achieved a zero benchmark error. The differencebetween the total bias required and the total bias added isthen, by definition, approximately the benchmark revisionamount, for any given year. Also provided in the table for il-lustration, are the March-to-March changes. As discussedabove, the over-the-year changes indicate correlation withthe bias added and bias required figures.
THE SAMPLE
DesignThe emphasis in the establishment survey is on producing
timely data at minimum cost. Therefore, the primary goal ofits design is to sample a sufficiently large segment of the uni-verse to provide reliable estimates that can be published bothpromptly and regularly. The present sample allows BLS toproduce preliminary total nonfarm employment estimatesfor each month, including some limited industry detail,within 3 weeks after the reference period, and data in consid-erably more detail with an additional one-month lag.
The sampling plan used in the establishment survey is aform of sampling with probability proportionate to size,known as "sampling proportionate to average size of estab-lishment." This is an optimum allocation design among stra-ta because sampling variance is proportional to the averagesize of establishments. The universe of establishment em-ployment is highly skewed, with a large percentage of totalemployment concentrated in relatively few establishments.Because variance on a population total estimate is a functionof percentage universe coverage achieved by the sample, itis efficient to sample larger establishments at a higher ratethan smaller establishments, assuming the cost per sampleunit is fairly constant across size classes.
Under the establishment survey design, large establish-ments fall into a certainty strata for sample selection. Thesize of the sample for the various industries is determinedempirically on the basis of experience and cost consider-ations. For example, in a manufacturing industry with a highproportion of total employment concentrated in a smallnumber of establishments, a larger percent of total employ-ment is included in the sample. Consequently, the sample
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design for such industries provides for a complete census ofthe large establishments, with a relatively few chosen fromamong the smaller establishments. For an industry in whicha large proportion of total employment is concentrated insmall establishments, the sample design again calls for in-clusion of all large establishments but also for a more sub-stantial number of smaller ones. Many industries in the tradeand services divisions fall into this category. To keep thesample to a size which can be handled by available re-sources, it is necessary to have a sample design for these in-dustries with a smaller proportion of total universe coveragethan is the case for most manufacturing industries.
CoverageThe establishment survey is the largest monthly sampling
operation in the field of social statistics. Table 2-C shows thelatest benchmark employment levels and the approximateproportion of total universe employment coverage, at the to-tal nonfarm and major industry division levels. The cover-age for individual industries within the divisions may varyfrom the proportions shown.
ReliabilityThe establishment survey, like other 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 with sam-ple 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 total
survey error. Unlike most sample surveys which publishsampling error as their only measure of error, the CEScan derive an annual approximation of total error,on a lagged basis, because of the availability of theindependently derived universe data. While the benchmarkerror is used as a measure of total error for the CES surveyestimate, technically, it actually represents the differencebetween two independent estimates derived from separatesurvey processes (i.e., the CES sample process and theUI universe process) and thus reflects the errors present ineach program. Historically, the benchmark revision has beenvery small for total nonfarm employment. Over the past de-cade, percentage benchmark error has averaged 0.2 percent,with a range from zero to 0.6 percent. Table 2-D shows themost current benchmark revisions, along with 10-year meanrevisions and mean absolute revisions for major industries.Mean revisions give an indication of bias in the estimates;unbiased estimates have a mean revision close to zero, asover and under estimations cancel out over time. Mean abso-lute revisions give an overall indicator as to the accuracy ofthe estimates; the larger the value, the further the estimatewas from the final benchmark level.
Estimated standard errors for employment, hours, and earn-ings. The hours and earnings estimates for the basic estimat-ing cells do not have universe data sources available andtherefore are not subject to benchmark revisions, althoughthe broader groupings may be affected slightly by changes inemployment weights. Like the employment estimates, thehours and earnings estimates are also subject to samplingand nonsampling errors. Estimates of the sampling error foremployment, hour, and earnings were computed using themethod of random groups and are expressed as relative stan-
Table 2-B. March employment benchmarks and bias adjustments for total private industries, March 1983-93
YearBenchmark
Employment1 Revision2
Average monthly bias
Added3 Required4
Over-the-yearemployment
change5
1983.1984.1985.1986.1987.1988.1989.
1990.1991 .1992.1993.
72,04376,37179,44681,20483,17386,18089,015
90,54688,79088,34789,790
-78341-131-40021
-310-93
-261-583-130288
10214015214998114131
85613383
961691411169988123
631222107
-1,3274,3283,0751,7581,9693,0072,835
1,531-1,756
-4431,443
1 Universe counts for March of each year used to make annualbenchmark adjustments to the employment estimates. About 99 per-cent of the benchmark employment is from unemployment insuranceadministrative records, and the remaining 1 percent is from alternatesources. Data represent benchmark levels as originally computed.
2 Difference between the final March sample-based estimate and thebenchmark 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 esti-mate 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 because
there is no bias adjustment for this sector.
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dard errors (standard error divided by the estimate). Relativestandard errors for individual industries with the specifiednumber of employees are presented in table 2-E and for ma-jor industries in table 2-F. Multiplying the relative standarderror by its estimated value gives the estimate of the standarderror. The errors presented here are based on averages ob-served from sample data over the March 1992 throughMarch 1993 period.
Standard errors for differences between industries andtimes. The standard error of a difference is required to test forsignificant differences between estimates from two differentindustries. Since the estimates for the two industries are in-dependent, the standard error of a difference is the squareroot of the sum of the estimated variance of each estimate,Si2 and S2
2.
S difference = V? s\
The CES sample overlaps almost entirely from month tomonth, so monthly estimates are not independent. Thecovariance between these estimates must be accounted forwhen testing the significance of the change in estimates overtime. The standard error of the change can be estimated asfollows.
S change = + S2 " 2 / 7 ^
If si = S2, then:
S change = -\/^sl \^~~ P'
Conservative estimates of Rafter one month are 0.8 for em-ployment, 0.6 for average weekly hours, and 0.8 for averagehourly 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 manytimes and an estimate and its standard error calculated foreach sample, then approximately 68 percent of the intervalsfrom one standard error below the estimate to one standarderror above the estimate would include the true populationvalue.
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. Correc-tions to individual establishments SIC and ownership codesare made through this process. The refiling cycle is such that
every third year entire division(s) are subject to refiling. Thevolume of these adjustments is generally quite large and hasa substantial impact on universe employment counts at theindustry levels, although the total nonfarm employment lev-el remains unaffected. For example, in a year when the ser-vices division is refiled, a substantial amount of employ-ment is usually reclassified out of services to other major di-visions, thus, lowering the benchmark level for services, andpotentially causing a significant downward revision in theservices employment totals previously published.
Revisions between preliminary and final data. First prelimi-nary estimates of employment, hours, and earnings, basedon less than the total sample, are published immediately fol-lowing the reference month. Final revised sample-based es-timates are published 2 months later when nearly all the re-ports in the sample have been received. Table 2-G presentsthe root-mean-square error, the mean percent, and the meanabsolute percent revision that may be expected between thepreliminary and final employment estimates.
Table 2-C. Employment benchmarks and approximate coverageof BLS employment and payrolls sample, March 1993
Industry
Total
MiningConstructionManufacturingTransportation and
public utilities . . . .Wholesale trade . . .Retail tradeFinance, insurance,and real estate ..
ServicesGovernment:
FederalStateLocal
Bench-marks(thous-ands)
108,935
6034,177
17,974
5,7205,903
19,133
6,63329,647
2,9264,581
11,638
Sample coverage1
Number ofestablish-
ments
325,021
3,88326,40459,002
217,56726,36765,892
24,34677,599
(3)5,977
17,984
Employees
Number(thous-ands)
43,564
258851
9,160
2,5281,1544,843
2,1757,771
2,9263,9117,987
Percentof
bench-marks
40
432051
442025
3326
1008569
1 Counts reflect reports used in final estimates. Because not all es-tablishments report payroll and hours information, hours and earningsestimates are based on a smaller sample than employment estimates.
2 The Interstate Commerce Commission provides a complete countof employment for Class I railroads. Asmall sample is used to estimatehours and earnings data.
3 Total Federal employment counts by agency for use in national esti-mates are provided to BLS by the Office of Personnel Management.Detailed industry estimates for the Executive Branch, as well as Stateand area estimates of Federal employment, are based on a sample of5,342 reports covering about 60 percent of employment in Federal es-tablishments.
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Table 2-D. Current (March 1993) and historical benchmark revisions(Numbers in thousands)
Industry
March 1993benchmark revision
Level Percent
10-year averagemean percent revision1
Actual Absolute
Total
Total private
Goods-producing
MiningMetal miningCoal miningOil and gas extractionNonmetaillic minerals, except fuels
Construction ,General 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 equipmentElectronic and other electrical equipmentTransportation 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 industries
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
Retail tradeBuilding materials and garden suppliesGeneral merchandise stores
See footnotes at end of table.
263
288
287
130481
6842
1
26
206
128186430
2220
724132
1213
78
24-497995
-4192
-24
585607
37031924
-2
-152-75-77
-40-1392
0.2
.3
1.3
2.20
3.42.41.0
1.64.1
.2
1.0
1.1
1.3
2.61.2.8.40
1.71.0.5
1.41.6
.41.33.51.0
1.5-9.51.3.7
1.3.6.5
-2.72.11.7
1.01.6
01.82.3
0.4
5.32.5
.1
.3-.2
-2.6-2.2-3.1
-.2-1.83.8
-0.1
-.1
-.4
-1.8-2.7-1.2-2.1-1.1
-.4-.1-.5-.5
-.4
-.4
-.6-.1-.3-.7-.3-.3-.7-.9.5
1.0.5
-.3-.5
-.4
-.6-1.7-.3-.9-.1-.3-.2-.3-.3
-1.7
-.4-.6-.11.0-.4
-2.8-1.3
-.1-1.6-.1-.2-.1
-.7-.9-.3
.2
.61.3
0.2
.3
.7
2.13.22.02.61.5
1.52.21.81.9
.7
.7
1.4.9
1.01.01.3
.81.11.11.01.21.41.81.4
.8
1.14.0
.81.3.6.9.8
1.71.63.3
.3
.71.31.41.61.65.02.13.72.6
.71.1.7
1.21.31.1
.61.62.1
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Table 2-D. Current (March 1993) and historical benchmark revisions—Continued(Numbers in thousands)
Industry
March 1993benchmark revision
Level Percent
10-year averagemean percent revision1
Actual Absolute
Retail trade—Continued
Food storesAutomotive dealers and service stationsApparel and accessory storesFurniture and home furnishings storesEating and drinking placesMiscellaneous retail establishments
Finance, insurance, and real estateFinance
Depository institutionsNondepository institutionsSecurity and commodity brokersHolding and other investment offices
InsuranceInsurance carriersInsurance agents, brokers, and service
Real estate
ServicesAgricultural servicesHotels and other lodging placesPersonal services ..Business services
Personnel supple servicesAuto repair, services, and parkingMiscellaneous repair servicesMotion picturesAmusement and recreation servicesHealth services
HospitalsLegal servicesEducational servicesSocial servicesMuseums and botanical and zoological gardensMembership organizationsEngineering and management services3
Services, nee
GovernmentFederalState
EducationOther State government
LocalEducationOther local government
1-24
-1-20-48-28
10010
-2434
4-464501426
354
14568
-61117
-1160
-107-32-5
-7120
735
-1
-250
185
13-43-7
-36
( )-1.2-.1
-2.5-.7
-1.2
1.5.3
-1.27.8.9
-1.82.93.32.12.0
.1
.9
.94.7.1
-3.51.22.0
-2.75.3
-1.2-.8-.5
-4.0.10
3.6.2
-2.4-.1
0.4.3.5
-.4-.1-.7
-.9-.81.2-.4.6
-.2
-.3-.7
-1.3.7
-.1-.5.2.5
-.3-.2
.12.6.2.1.4
1.5-.2-.5.9.1
-.7-.4(2)1.0
-1.11.42.3.8
-.5
(2)0.4.7.2
-.1-.1-.2
1.01.21.61.51.2.8
.8
.81.31.4
.94.81.01.51.81.4
.52.61.42.31.44.1
.93.82.22.91.0
.71.42.91.93.43.01.51.8
.30.7
1.3.6.3.4.3
1 Data relate to the 1984-93 benchmarks, as originally published,unless otherwise noted.
2 Less than 0.05 percent.3 Data relate to 1989-93.
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Table 2-E. Relative standard errors1 for estimates of employment,hours, and earnings
(In percent)
Size of employmentestimate
50,000100,000200,000500,0001,000,0002,000,000
Employment
1.31.0
.8
.6
.4
.3
Averageweeklyhours
2.01.51.1.8.6.5
Averagehourly
earnings
2.92.41.91.41.1.9
1 Relative errors were estimated with sample data from March1992-March1993.
Table 2-F. Relative standard errors1 for estimates ofemployment, hours, and earnings by industry division
(In percent)
Industry
Total privateMiningConstructionManufacturing
Durable goodsNondurable goods
Transportation andpublic utilities
Wholesale tradeRetail trade
Finance, insurance, andreal estate
Services
Employ-ment
0.1.4.4.1.2.1
.2
.2
.1
.3
.2
Averageweeklyhours
0.4.7.2.2.2.3
1.5.4.3
.5
.7
Averagehourly
earnings
0.31.0.3.4.5.4
1.7.3.3
.4
.4
1 Relative errors were estimated with sample data from March1992-March1993.
Revisions of preliminary hours and earnings estimates arenormally not greater than 0.1 of an hour for weekly hours and
1 cent for hourly earnings, at the total private nonfarm level,and may be slightly larger for the more detailed industrygroupings.
STATISTICS FOR STATES AND AREAS
(Tables B-7, B-14, and B-18)As explained earlier, State agencies in cooperation with
BLS collect and prepare State and area employment, hours,and earnings data. These statistics are based on the same es-tablishment reports used by BLS, however, BLS uses the fullCES sample to produce monthly national employment esti-mates, while each State agency uses its portion of the sampleto independently develop a State employment estimate.
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 annu-al averages (usually the May issue). Changes in definitionsare noted as they occur. Additional industry detail may beobtained from the State agencies listed on the inside backcover of each issue.
Caution in aggregating State data. The national estimationprocedures used by BLS are designed to produce accuratenational data by detailed industry; correspondingly the Stateestimation procedures are designed to produce accurate datafor each individual State. State estimates are not forced tosum to national totals nor vice versa. Because each State se-ries is subject to larger sampling and nonsampling errorsthan the national series, summing them cumulates individu-al State level errors and can cause distortions at an aggregatelevel. This has been a particular problem at turning points inthe U.S. economy, when the majority of the individual Stateerrors tend to be in the same direction. Due to these statisti-cal limitations, the Bureau does not compile or publish a"sum-of-States" employment series. Additionally, BLS cau-tions users that such a series is subject to a relatively largeand volatile error structure, particularly at turning points.
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Table 2-G. Errors of preliminary employment estimates
Industry Root-mean-squareerrorof monthly level1
Mean percent revision
Actual Absolute
Total
Total private
Goods-producing industries
MiningMetal mining2
Coal mining^Oil and gas extractionNonmetallic minerals, except fuels2
ConstructionGeneral building contractorsHeavy construction, except building2
Special 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 equipmentElectronic and other electrical equipment.Transportation equipment
Motor vehicles and equipmentAircraft and parts2
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 misc. plastics productsLeather and leather products
Service-producing industries
Transportation and public utilitiesTransportation
Railroad transportation2
Local and interurban passenger transit2 ..Trucking and warehousing2
Water transportation2
Transportation by air2
Pipelines, except natural gas2
Transportation services2
Communications and public utilitiesCommunications2
Electric, gas, and sanitary services2
Wholesale tradeDurable goodsNondurable goods
See footnotes at end of table.
71,500
54,300
17,200
2,400600
1,0002,300
400
9,9004,4004,0006,400
11,600
8,500
1,4001,3001,3001,8001,4002,2002,6003,1004,4003,6002,3001,7001,600
6,600
3,900500
1,8002,8001,5001,9001,700
7001,700
800
64,700
9,3007,1002,1003,200
15,3002,20013,300
2001,2004,5004,2001,900
6,5003,8004,300
00
-0.2.10
.10.1.1
000-.1-.10000.1-.100
0.100000-.10-.1
0000-.1.2-.3-.4-.1-.1-.10
000
0.1
0
.1
.3
.7
.6
.4
.3
.2
.3
.4
.2
.2
.2
.2
.2
.5
.1
.1
.1
.2
.4
.2
.2
.3
.2
.8
.2
.2
.2
.1
.1
.3
.2
.5
.1
.1
.2
.6
.7
.31.0.5.7.3.2.2.2
.1
.1
.1
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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 supplies2
General merchandise storesFood storesAutomotive dealers and service stationsApparel and accessory stores2
Furniture and home furnishings stores2
Eating and drinking placesMiscellaneous retail establishments2
Finance, insurance, and real estateFinance
Depository institutions2
Nondepository institutions2
Security and commodity brokers2
Holding and other investment offices2
InsuranceInsurance carriers2
Insurance agents, brokers, and service2
Real estate
ServicesAgricultural services2
Hotels and other lodging places2
Personal services2
Business servicesPersonnel supply services2
Auto repair, services, and parking2
Miscellaneous repair services2
Motion pictures2
Amusement and recreation services2
Health servicesHospitals2
Legal services2
Educational services2
Social services1
Museums and botanical and zoological gardens2
Membership organizations2
Engineering and management services3
Services, nee2
GovernmentFederalState
Education2
Other State government2
LocalEducation2
Other local government2
29,0002,500
13,3006,2003,100
12,2003,900
11,3007,600
6,4004,5009,2001,5001,0001,7003,0002,8001,0003,100
30,8006,1007,200
11,00014,30012,40012,7002,8006,200
13,9007,100
26,40012,40024,50028,100
90025,4004,1001,400
44,20015,80017,50011,7008,200
26,60019,80020,400
.1
.1000
-.1.10.2
00
-.1.1.10000.1
0-.1.1-.1.1.2-.2-.2-.1.40
-.1-.2-.1-.1-.2-.20.1
0.10.1.10.10
.1
.2
.4
.2
.1
.5
.3
.1
.2
.1
.1
.2
.3
.2
.6
.1
.1
.1
.2
.1
.6
.3
.6
.2
.5
.4
.41.0.9.1.2.3.7.5
1.0.4.1.3
.2
.4
.3
.5
.2
.2
.3
.2
1 The root-mean-square error is the square root of the mean squarederror. The mean squared error is the square of the difference betweenthe final and preliminary estimates averaged across a series ofmonthly observations.
2 Data based on differences from January 1990 through December
1993.3 Data based on differences from August 1990 through December
1993.NOTE: Errors are based on differences from January 1989 through
December 1993, unless otherwise noted.
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Regional, State, and Area Labor Force Data("C" tables)
FEDERAL-STATE COOPERATIVE PROGRAM
Labor force and unemployment estimates for States, labormarket 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 benefits underFederal programs such as the Job Training and PartnershipAct.
Annual average data for the States and over 260 areasshown in table C-3 are published in Employment andEarnings (usually the May issue). For regions, States,selected metropolitan areas, and central cities, annualaverage data classified by selected demographic, social, andeconomic characteristics are published in the BLS bulletin,Geographic Profile of Employment and Unemployment.
Labor force estimates for counties, cities, and other smallareas have been prepared for administration of variousFederal economic assistance programs and may be orderedfrom the Superintendent of Documents, U.S. GovernmentPrinting Office, Washington, DC 20402. The report "Unem-ployment 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 ofColumbia, and over 6,500 areas, including nearly 2,400LMA's, counties, and cities with a population of 25,000 ormore. The estimation methods are described below forStates (and the District of Columbia) and for sub-State areas.At the sub-LMA level, (county and city), estimates areprepared using disaggregation techniques based on decen-nial and annual population estimates and current unemploy-ment insurance data. A more detailed description of theestimation procedure is contained in the BLS document,Manual for Developing Local Area Unemployment Statis-tics.
Estimates for States
Current monthly estimates. The civilian labor force andunemployment estimates for 11 large States—California,Florida, Illinois, Massachusetts, Michigan, New Jersey,New York, North Carolina, Ohio, Pennsylvania, and Tex-as—are sufficiently reliable to be taken directly from the
Current Population Survey (CPS) on a monthly basis. Theseare termed "direct-use States." For a description of the CPSconcepts, see "Household Data," above.
For the 39 smaller States and the District of Columbia,which do not use the CPS directly each month, models basedon a "signal-plus-noise" approach are used to developemployment and unemployment estimates. These are the"non-direct-use" States. The model of the signal is a timeseries model of the true labor force which consists of threecomponents: A variable coefficient regression, a flexibletrend, and a flexible seasonal component. The regressiontechniques are based on historical and current relationshipsfound within each State's economy as reflected in thedifferent sources of data that are available for eachState—the CPS, the Current Employment Statistics (CES)survey, and the unemployment insurance (UI) system. Thenoise component of the models explicitly accounts forautocorrelation in the CPS sampling error and changes in theaverage magnitude of the error. In addition, the models canidentify and remove the effects of outliers in the historicalCPS series. While all the State models have importantcomponents in common, they differ somewhat from oneanother to better reflect individual State characteristics.
Two models—one for the employment-to-populationratio and one for the unemployment rate—are used for eachState. 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 rela-tionship between the State's monthly employment from theCES and the CPS. The models also include trend and season-al components to account for movements in the CPS not cap-tured by the CES series. The seasonal component accountsfor the seasonality in the CPS not explained by the CESwhile the trend component adjusts for long-run systematicdifferences between the two series.
The unemployment rate models use the relationshipbetween the State's monthly unemployment insuranceclaims 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 adjustautomatically to structural changes that occur. The regres-sion portion of the model includes a built-in tuningmechanism, known as the Kalman Filter, which revises amodel's coefficients when the new data that becomeavailable each month indicate that changes in the data
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relationships have taken place. Once the estimates aredeveloped from the models, levels are calculated for theemployment, unemployment, and labor force levels.
Benchmark correction procedures. Once each year, monthlyestimates for the 39 non-direct-use States and the District ofColumbia are adjusted, or benchmarked, by BLS to theannual average CPS estimates. The benchmarking tech-nique employs a procedure (called the Denton method)which adjusts the annual average of the models to equal theCPS annual average, while preserving, as much as possible,the original monthly seasonal pattern of the model esti-mates.
In the 11 direct-use States, no benchmark correction is re-quired; the average of the 12 monthly State CPS estimateswill equal the CPS annual averages.
Estimates for sub-State areasMonthly labor force and employment estimates for two
large sub-State areas—New York City and the Los Angeles-Long Beach metropolitan area—are obtained directly fromthe CPS. Estimates for the nearly 2,400 LMA's, are preparedthrough indirect estimation techniques, described below.
Preliminary estimate—employment. The total civilian em-ployment estimates are based on CES data. These "place-of-work" estimates must be adjusted to refer to place ofresidence as used in the CPS. Factors for adjusting fromplace of work to place of residence have been developed forseveral categories of employment on the basis of employ-ment relationships at the time of the 1990 decennial census.
These factors are applied to the CES estimates for the currentperiod to obtain adjusted employment estimates, to whichare added estimates for employment not represented in theCES—agricultural employees, nonagricultural self-em-ployed and unpaid family workers, and private householdworkers.
Preliminary estimate—unemployment. In the current month,the estimate of unemployment is an aggregate of the esti-mates for each of three categories: (1) Persons who were pre-viously employed in industries covered by State UI laws; (2)those previously employed in industries not covered bythese laws; and (3) those who were entering the civilian la-bor force for the first time or reentering after a period of sep-aration.
Sub-State adjustment for additivity. Estimates of employ-ment and unemployment are prepared for the State andLMA's within the State. The LMA estimates geographicallyexhaust the entire State. Thus, a proportional adjustmentmust be applied to all sub-State LMA estimates to ensurethat they add to the independently estimated State totals foremployment and unemployment.
Benchmark correction. At the end of each year, sub-State es-timates are revised. The revisions incorporate any changesin the inputs, such as revisions in the CES-based employ-ment figures, corrections in claims counts, and updated his-torical relationships. The corrected estimates are then read-justed to add to the revised (benchmarked) State estimates ofemployment 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 sharpfluctuations due to such seasonal events as changes inweather, reduced or expanded production, harvests, majorholidays, and the opening and closing of schools. Becausethese seasonal events follow a more or less regular patterneach year, their influence on statistical trends can beeliminated by adjusting the statistics from month to month.These adjustments make it easier to observe the cyclical andother nonseasonal movements in the series. In evaluatingchanges in a seasonally adjusted series, it is important tonote that seasonal adjustment is merely an approximationbased on past experience. Seasonally adjusted estimateshave a broader margin of possible error than the original dataon which they are based, because they are subject not only tosampling and other errors but are also affected by theuncertainties of the seasonal adjustment process itself.Seasonally adjusted series for selected labor force andestablishment-based data are published monthly in Employ-ment and Earnings.
Since January 1980, national labor force data have beenseasonally 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 MethodbyEstela Bee Dagum, Statistics Canada Catalogue No.12-564E, January 1983.
At the beginning of each calendar year, projected seasonaladjustment factors are calculated for use during theJanuary-June period. In July of each year, BLS calculatesand publishes in Employment and Earnings projectedseasonal adjustment factors for use in the second half, basedon the experience through June. Revisions of historical datafor the most recent 5 years are made only at the beginning ofeach calendar year. However, as a result of the revisions tothe estimates for 1970-81 based on 1980 census populationcounts, revisions to seasonally adjusted series in early 1982were carried back to 1970.
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 forcecomponents—agricultural employment, nonagriculturalemployment, and unemployment—data for four sex-agegroups (men and women under and over 20 years of age) areseparately adjusted for seasonal variation and are thenadded to derive seasonally adjusted total figures. Theseasonally adjusted figure for the labor force is a sum ofeight seasonally adjusted civilian employment componentsand four seasonally adjusted unemployment components.
The total for unemployment is the sum of the fourunemployment components, and the unemployment rate isderived by dividing the resulting estimate of totalunemployment by the estimate of the labor force. Becauseof the independent seasonal adjustment of various series,components will not necessarily add to totals.
In each January issue, Employment and Earnings pu-blishes revised seasonally adjusted data for selected laborforce series based on the experience through December, newseasonal adjustment factors to be used to calculate thecivilian unemployment estimate for the first 6 months of thefollowing year, and a description of the current seasonaladjustment procedure.
Since the early 1980's, BLS has also used the X-llARIMA procedure to seasonally adjust national establish-ment-based employment, hours, and earnings data. TheX-ll ARIMA program had been run once each year afterbenchmarking and seasonal adjustment factors had beenprojected and published for 12 months ahead (April-March).Beginning in June 1989, with the introduction of the March1988 benchmarks, the Bureau modified this procedure toparallel that used in seasonally adjusting household surveydata. Projected seasonal adjustment factors are calculatedand published twice a year. Revisions of historical data aremade once a year, coincident with benchmark revisions.
All series are seasonally adjusted using the multiplicativemodels under X-ll ARIMA. Seasonal adjustment factorsare computed and applied at component levels. Foremployment series, these are generally the 2-digit SIClevels. Seasonally adjusted totals are arithmetic aggrega-tions for employment series and weighted averages of theseasonally adjusted data for hours and earnings series.
Seasonally adjusted average weekly earnings are theproduct of seasonally adjusted average hourly earnings andseasonally adjusted average weekly hours. Average weeklyearnings in constant dollars, seasonally adjusted, areobtained by dividing average weekly earnings, seasonallyadjusted, by the seasonally adjusted Consumer Price Indexfor Urban Wage Earners and Clerical Workers (CPI-W), andmultiplying by 100. Indexes of aggregate weekly hours,seasonally adjusted, are obtained by multiplying averageweekly hours, seasonally adjusted, by production or nonsu-pervisory workers, seasonally adjusted, and dividing by the1982 annual average base. For total private, total goods-pro-ducing, total private service-producing, and major industrydivisions, the indexes of aggregate weekly hours, seasonallyadjusted, are obtained by summing the aggregate weeklyhours, seasonally adjusted, for the appropriate componentindustries and dividing by the 1982 annual average base.
Seasonally adjusted data are not published for a number ofseries characterized by small seasonal components relativeto their trend-cycle and/or irregular components. These
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failed or unsatisfactory seasonally adjusted series, however,are used in the aggregation to broader level seasonallyadjusted series.
Seasonal adjustment factors for Federal Government em-ployment are derived from unadjusted data which includeChristmas temporary workers employed by the Postal Ser-vice. The number of temporary census workers for the de-cennial census, however, are removed prior to the calcula-tion of seasonal adjustment factors.
BLS has developed an extension of X-l 1ARIMA to allowit to adjust more adequately for the effects of the presence orabsence 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 whichtested as having significant and well-defined effects in theirApril data associated with the timing of Easter. Thisextension was also used for the seasonal adjustment of manyof the establishment-based series on average weekly hoursand manufacturing overtime hours, starting with the com-putation of the projected factors for the period beginning inApril 1990. Effective with the computation of factors for theNovember 1993-April 1994 period, an extension of themoving-holiday adjustment was introduced to adjust for theeffects of elections on local government employment.
Revised seasonally adjusted national establishment-based series based on the experience through March 1994,new seasonal adjustment factors for May-October 1994, anda description of the current seasonal adjustment procedureappear in the June 1994 issue of Employment and EarniiTgs.Factors for the November 1994-April 1995 period willappear in the December issue.
Beginning in 1992, BLS introduced publication of
seasonally adjusted labor force data for the census regionsand divisions, the 50 States, and the District of Columbia(tables C-l and C-2). Using the X-l 1 ARIMA procedure,seasonal adjustment factors are computed and appliedindependently to the component employment and unem-ployment levels and then aggregated to regional or Statetotals. Current seasonal adjustment factors are produced for6-month periods twice a year. Historical revisions are madeat the beginning of each calendar year. Because of theseparate processing procedures, totals for the Nation as awhole differ from the results obtained by aggregatingregional or State data.
Beginning in 1993, BLS introduced publication ofseasonally adjusted nonfarm payroll employment data bymajor industry for all States and the District of Columbia(table B-7). Seasonal adjustment factors are applied directlyto the employment estimates at the division level (compo-nent series for manufacturing and trade) and then aggregatedto the State totals. The recomputation of seasonal factors andhistorical revisions are made coincident with the annualbenchmark adjustments. State estimation procedures aredesigned to produce accurate (unadjusted and seasonallyadjusted) data for each individual State. BLS independentlydevelops a national employment series; State estimates arenot forced to sum to national totals. Because each Sate seriesis subject to larger sampling and nonsampling errors than thenational series, summing them cumulates individual Statelevel errors and can cause significant distortions at anaggregate level. Due to these statistical limitations, BLSdoes not compile a "sum-of-States" employment series, andcautions users that such a series is subject to a relatively largeand volatile error structure.
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INDEX TO STATISTICAL TABLES
TABLE KEY: A: Monthly household data; B: Monthly national and State and area establishment data; C: Monthly regional, State,and area labor force data; D: Quarterly, household data only, in the January, April, July, and October issues. Annual averages:Household data in the January issue; national establishment data in the January, March, and June issues; State and area estab-lishment and labor force data in the May issue. For additional information see the listing on the inside front cover of thispublication.
Topic
Monthly
Seasonallyadjusted
Notseasonallyadjusted
Quarterly averges
Seasonallyadjusted
Notseasonallyadjusted
Annualaverages
Absences from workAggregate weekly hours (Index)Agricultural industries
At workClass of workerDiffusion indexDiscouraged workersEarnings, hourly
Earnings, weekly
Educational attainment and school enrollmentEmployment by:
AgeHispanic originIndustry
Occupation
Race
Sex
Family typeFull-time workers
Historical data
Hours of work
Jobsearch methodsMarital statusMultiple jobholdersNonagricultural industriesNot in the labor force *Part-time workersProduction or nonsupervisory workersState, region, and area dataUnemployment by:
Age
DurationHispanic origin
Industry of last jobOccupation of last jobRace
ReasonSex '.'..
Union affiliationVeterans, Vietnam-era
B-9A-1-3,6,10
A-6A-6B-6
B-11
B-11
A-3-5,7A-4B-3-5,7
A-6A-4
A-2-7; B-4
A-5
B-8-10
A-6,10
A-1-3,6
A-5B-5,8-9,11
B-7; C-1-2
A-3-5,8-9
A-12A-4
A-10A-10A-4
A-11A-2-5,8-9
I
A-14,19-20,28,33
A-21-25A-20
A-34B-2,15-18
B-2,15,15a,17-18
A-15
A-13-17,20A-15A-19; B-12-
14A-17-19A-13-16,18
A-13-18,20;B-13
A-16,31
A-21-25; B-2,15,18
A-26,32A-35A-14,20
A-34A-16B-12,15-18
B-14,18; C-3
A-13-16,26,29-30,32
A-30-33A-15
A-28,33A-27,33A-13-16,26,29,32
A-29-30A-13-16,26-30,32
A-36
D-1,4,8
D-4D-4
D-1-3,5D-2
D-4D-2
D-1-5
D-3
D-4,8
D-1,4
D-3
D-1-2,6-7
D-10D-2
D-8D-8D-2
D-9D-1-2,6-7
D-11-14
D-13-14
D-19-21
D-11-12,15D-11-15
D-13-14D-11,13,15
D-11-15
D-13-14
D-13-14
D-11-12,16
D-18D-11-12,
16-18
D-11,16-20
D-17D-11-12,16
D-22-23
47-48
A-1-2; 1-2,5-6,12-13,15,17-18,28,34
19-2312-13,15-16
37B-2,15-17;
53; 2B-2,15,15a,
17; 39-42,53; 2
7
3-9,14-154-7,11-13,18B-1,12-13,
16-18; 19-13,173,5,7-8,10-
12,14,17-18B-13; 2-18
25-268,12-13,32A-1-2; B-1-2;
1-2B-15; 19-23,
53; 235-3624,3338A-1-2; 1-2,5-6,12-13,15
378,12-13B-12,15-17;52-53
1-3
3-8,24,29,31,35
31-344-7,25-26,30
28,3427,343,5,7-8,24-26,30,33,35
29-312-8,24,27-29,31,33,35-36
43-4649-50
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U.S. DEPARTMENT OF LABORBureau of Labor Statistics
Regional Office
REGION I-BOSTON1 Congress Street10th FloorBoston, MA 02114Phone (617) 565 2327
REGION II-NEW YORKRoom 808201 Varick StreetNew York, NY 10014Phone (212) 337-2400
REGION III—PHILADELPHIA3535 Market Street, 8th FloorGateway Building, Suite 8000Philadelphia, PA 19104-3309Phone:(215)596-1154
REGION IV-ATLANTASuite 5401371 Peachtree Street, NEAtlanta. GA 30367Phone (404)347-4416
REGION V-CHICAGO9th Floor230 South Dearborn StreetChicago, IL 60604Phone (312)353-1880
REGION VI-DALLASRoom 221Federal Building525 Griffin StreetDallas, TX 75202Phone (214) 767-6970
REGIONS VII and VIII—KANSAS CITYCity Center Square1100 Main, Suite 600Kansas City, MO 64105-2112Phone:(816)426-2481
REGIONS IX and X -SAN FRANCISCO71 Stevenson StreetPO Box 193766San Francisco, CA 94119Phone (415)744-6600
Cooperating StateCurrent Employment Statistics (CES) and State and Local
BLSMOQIOH
IV
X
IX
VI
IX
VIII
I
II!
Ill
IV
IV
IX
X
V
V
VII
VII
IV
VI
I
III
I
V
V
IV
VII
ALABAMA
ALASKA
ARIZONA
ARKANSAS
CALIFORNIA
COLORADO
CONNECTICUT
DELAWARE
DIST OF COL
FLORIDA
GEORGIA
HAWAII
IDAHO
ILLINOIS
INDIANA
IOWA
KANSAS
KENTUCKY
LOUISIANA
MAINE
MARYLAND
Department of Industnal Relations, Room 427,Industrial Relations Bldg , Montgomery 36130
Department of Labor, Research and AnalystsSecuun. 1111 West 8th St.. Juneau 99802-5501
Department of Economic Security, 1300 WestWashington St., Phoenix 85005
Employment Security Department.PO Box 2981, Little Rock 72203-2981
Employment Development Department. Employ-ment Data and Research Division, 7000Franklin Blvd.. Bldg 1100, Sacramento 95823
Department of Labor and Employment, Suite801, 1120 Lincoln Street, Denver 80203
Labor Department, Employment SecurityDivision, 200 Folly Brook Blvd.Wethersfield 06109
Department of Labor, Office of Occupationaland Labor Market Information, P.O. Box 9029,Newark 19714-9029
Department of Employment Services, Divisionof Labor Market Information and Analysis,Room 201, 500 C St, NW.. Washington,DC 20001
Florida Department of Labor and EmploymentSecurity, Bureau of Labor Market Information,Suite 203, 2574 Seagate Dr.. Tallahassee32399-0674
Department of Labor, Labor InformationSystems, 148 International Blvd., NE..Atlanta 30303
Department of Labor and Industrial Relations,Research and Statistics Office, Room 304,830 Punchbowl St., Honolulu 96813
Department of Employment, 317 Main St.,Bo.se 83735
Department of Employment Security, (2 South),401 South State St.. Chicago 60605
Department of Employment and TrainingServices, Statistical Services Division,10 North Senate Avenue.Indianapolis 46204
Department of Employment Services, 1000 EastGrand Avenue, Des Moines 50319
Department of Human Resources. 401 TopekaAvenue, Topeka 66603
Department for Employment Services, LaborMarket Research and Analysis Branch.275 East Main St.. Frankiort 40621
Department of Labor, Research and StatisticsSection, 1001 North 23rd St.. Baton Rouge70804-9094
Department of Labor, Division of EconomicAnalysis and Research. 20 Union St.,Augusta 04330
Department of Employment and Training,Research and Analyst* Division, 1100 NorthEutaw St., Baltimore 21201
MASSACHUSETTS Department of Employment and Training,
MICHIGAN
MINNESOTA
MISSISSIPPI
MISSOURI
Government Center, Charles F. Hurley Bldg ,Boston 02114
Employment Security Commission, Researchand Statistics Division, Room 516, 7310Woodward Avenue, Detroit 48202
Department of Jobs and Training, Researchand Statistics Division, 5th Fl , 390 NorthRobert St.. St Paul 55101
Employment Security Commission, LaborMarket Information Division. PO Box 1699,Jackson 39215-1699
Division of Employment Security, P.O. Box 59,Jefferson City 65104
AgenciesArea Unemployment Statistics (LAUS) Programs
BLS•rivgion
VIII
VII
IX
I
II
VI
II
IV
«VIIIV
VI
X
III
II
I
IV
VIII
IV
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II
X
III
V
VIII
MONTANA
NEBRASKA
NEVADA
NEW HAMPSHIRE
NEW JERSEY
NEW MEXICO
NEW YORK
NORTH CAROLINA
NORTH DAKOTAOHIO
OKLAHOMA
OREGON
PENNSYLVANIA
PUERTO RICO
RHODE ISLAND
SOUTH CAROLINA
SOUTH DAKOTA
TENNESSEE
TEXAS
UTAH
VERMONT
VIRGINIA
VIRGIN ISLANDS
WASHINGTON
WEST VIRGINIA
WISCONSIN
WYOMING
Department of Labor and Industry, PO Box1728, Helena 59624
Department of Labor, P.O. Box 94600, Lincoln68509-4600
Employment Security Department, 500 East3rd St, Carson City 89713
Department of Employment Security, 32 SouthMam St.. Concord 03301
Department of Labor, Division of Planning andResearch, P.O. Box 2765, Trenton 08625
Employment Security Commission, 401 Broadway, TIWA Bldg. Albuquerque 87103
Department of Labor, Division of Research andStatistics, State Campus, Room 400, Bldg 12,Albany 12240-0020
Employment Security Commission, Labor MarketInformation Dwision, P.O. Box 25903,Raleigh 27611
Job Service. P.O. Box 1537, Bismarck 58502Bureau of Employment Services, Labor Market
Information Division, 1160 Dublin Rd ,Columbus 43215
Employment Security Commission, Researchand Planning Division, 2401 North Lincoln,Oklahoma City 73105
Employment Division. 875 Union St.. NE..Salem 97311
Bureau of Research and Statistics300 Capitol Associates BuildingHarrisburg, PA 17120-0034
Department of Labor and Human ResourcesBureau of Labor Statistics, 17th Fl , 505 MunozRivera Avenue. Hato Rey 00918 (CBS), Bureauof Employment Security, Research and AnalysisSection, 15th Fl., 505 Munoz Rivera Avenue,Hato Rey 00918 (LAUS)
Department of Employment Security, 24 MasonSt., Providence 02903
Employment Security Commission, Labor MarketInformation Division, P.O. Box 995,Columbia 29202
Department of Labor, Labor Market InformationCenter, P.O. Box 4730. Aberdeen 57401
Department of Employment Security, Researchand Statistics Division, 519 Cordell Hull OfficeBldg , Nashville 37219
Employment Commission, Room 208-T, 1117Trinity St.. Austin 78778
Department of Employment Security. LaborMarket Information Services, P.O. Box 11249,Salt Lake City 84147
Department of Employment and Training, Officeof Policy and Public Information, P.O. Box 488,Montpefier 05602
Employment Commission. Economic InformationServices, PO Box 1358, Richmond 23211
Department of Labor, Bureau of Labor Statistics,53-A, 54-A&B Kronprindsens Gade CharlotteAmalie, St Thomas 00801-3359 (CES)
Employment Security Department. Labor Marketand Economic Analysis Branch, 605 WoodviewDr, Otympia 98503
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Employment Security Commission, Researchand Analysis Section, P.O. Box 2760,Casper 82602
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