emp_200508
TRANSCRIPT
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Employment & EarningsAugust 2005
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U.S. DEPARTMENT OF LABORElaine L Chao, Secretary
U.S. BUREAU OF LABOR STATISTICSKathleen P. Utgoff, Commissioner
Employment & Earnings (ISSN 0013-6840; USPS 485-010),is published monthly and prepared in the Office ofEmployment and Unemployment Statistics in collaborationwith the Office of Publications. The data are collected bythe U.S. Census Bureau (Department of Commerce) andState Employment Security Agencies, in cooperation withthe Bureau of Labor Statistics. The State agencies are listedon the inside back cover.
Employment & Earnings may be ordered from: NewOrders, Superintendent of Documents, P.O. Box371954, Pittsburgh, PA 15250-7954. Phone (202) 512-1800. Subscription price per year $53 domestic and$74.20 foreign. Single copy $27 domestic and $37.80foreign. Prices are subject to change by the U.S.Government Printing Office.
Correspondence concerning subscriptions, includingaddress changes and missing issues, should be sent to theSuperintendent of Documents, U.S. Government PrintingOffice, Washington, DC 20402. Phone (202) 512-1800.POSTMASTER: Send address changes to Employment &Earnings, U.S. Government Printing Office, Washington, DC20402.
Communications on material in this publication should beaddressed to: Editors, Employment & Earnings, Bureau ofLabor Statistics, Washington, DC 20212. Specific questionsconcerning the data in this publication, or their availability,should be directed as follows:
Household data:Telephone: (202) 691-6378E-mail: [email protected]: http://www.bls.gov/cps/
National establishment data:Telephone: (202) 691-6555E-mail: [email protected]: http://www.bls.gov/ces/
State and area establishment data:Telephone: (202) 691-6559E-mail: Data_SA ©bls.govInternet: http://www.bls.gov/sae/
Region, State, and area labor force data:Telephone: (202)691-6392E-mail: [email protected]: http://www.bls.gov/lau/
Periodicals postage paid at Washington, DC, and atadditional mailing addresses.
Information in this publication will be made available tosensory impaired individuals upon request. Voice phone(202) 691-5200; Federal Relay Service: 1-800-877-8339.
Material in this publication is in the public domain and, withappropriate credit, may be reproduced without permission.
August 2005Vol. 52 No. 8
Calendar of Features
In addition to the monthly data appearing regularlyin Employment & Earnings, special features appearin most of the issues as shown below.
Household data
Revised seasonally adjusted series
Annual averages
Earnings by detailed occupation
Union affiliation
Minimum wage data
Employee absences
Quarterly averages: Seasonally adjusted data,persons of Hispanic or Latino ethnicity, andweekly earnings data
Establishment data
National annual averages:
Industry sectors (preliminary)
Industry detail
National data revised to reflect new benchmarksand revised seasonally adjusted series
State and area annual averages
Area definitions
Region, State, and area labor force data
Annual averages
Jan.
Jan.
Jan.
Jan.
Jan.
Jan.
Jan., Apr., July, Oct.
Jan.
March
Feb.
May
May
May
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Editor .John R Stinson, Jr.
Design and LayoutPhyllis L. Lott
Editor's NoteAs previously announced, the Current Employment Statistics (CES) program (establishment survey)has discontinued the collection and publication of data on women workers. Consequently, data onwomen workers will no longer appear in tables B-4 and B-13 of this publication. The remaining<eB" tables have been renumbered to -reflect the deletion of these two tables. More information on thediscontinuation of the women worker eniployment series and other planned changes to the CES programis available on the CES Internet site at http://www.bls.gdy/ces/ceswwJitm.
Data on women workers and other cieniographic information related to employment from the CurrentPopulation Survey (household.survey) will continue to be available at httptl/www.bls*gmkp$/. Beginningwith the publication of data for January 2005 in the February 2005 issue of Employment and Earnings,table A-23,. which presents monthly household survey data on employed persons in nonagriculturalindustries by sex and class of worker,, was added to the "A" tables of this publication.
ContentsPage
List of statistical tables iiContents of the explanatory notes and estimates of error ivEmployment and unemployment developments, July 2005................................................ 1Summary tables and charts 3Explanatory notes and estimates of error. .......... —....... 173Index to statistical tables ................o..,,.....................................................................»........... 220
Statistical fables
Source Historical
Household data...................
Establishment data:Employment:
National ...........;......State............................
Division......................Hours and earnings:
National.......................State and area..............Division .......................
Local area labor force data:Region ...,.„..,.,State.................................AreaDivision..........................
50
'51
Seasonallyadjusted
Notseasonallyadjusted
17
5561
70
158160
749494118
124154157
165165172
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Monthly Household Data
Page
HistoricalA-l. Employment status of the civilian noninslitutional population 16 years and over, 1969 1:0 date fA-2. Employment status of the civilian noninstitutional population 16 years arcl over by sex, 1992 to date 6
Seasonally Adjusted DataEmployment Status
A-3. Employment status of the civilian noninstitutional population by sex and age 7A-4. Employment status of the civilian noninstitutional population by race, sex, age,
and Hispanic or Latino ethnicity 8A-5. Employment status of the civilian noninstitutional population 25 years and over
by educational attainment 10A-6. Employed and unemployed full- and part-time workers by sex and age 1J
Characteristics of the Employed
A-7. Employed persons by class of worker and part-time status 12
A-8. Employed persons by age, sex, and marital status 13
Characteristics oi the Unemployed
A-9. Unemployed persons by age, sex, and marital status 14A-10. Unemployment rates by age, sex, and marital status 15A-11. Unemployed persons by reason for unemployment 16A-12. Unemployed persons by duration of unemployment 16
Not Seasonally Adjusted DataEmployment Status
A-13. Employment status of the civilian noninstitutional population by age, sex. and race 17A-14. Employment status of the Hispanic or Latino population by age and sex 21A-l5. Employment status of the civilian noninstitutional population by race, sex, age,
and Hispanic or Latiro ethnicity 22A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by
school enrollment, educational attainment, sex, race, and Hispanic or Latino ethnicity 23A-17. Employment status of the civilian noninstitutional population 25 years and over by
educational attainment, sex, race, and Hispanic or Latino ethnicity 2;5A-18. Employed and unemployed full- and part-time workers by age, sex, race, and
Hispanic or Latino ethnicity 26Characteristics of the Employed
A-19. Employed persons by occupation, sex, and age 23A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex 29A-21. Employed persons by industry and occupation 31A-22. Employed persons in agriculture and related and in nonagricultural industries
by age, sex, and class of worker 32A-23. Employed persons in nonagricultural industries by sex and class of worker 33A-24. Persons a: work in agriculture and related and in nonagricultural industries by hours of work.. 35A-25. Persons at work 1 to 34 hours in all and in nonagricultural industries by reason for
working less than 35 hours and usual full- or part-time status 35A-26. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status 36A-27. Persons at work in nonagricultural industries by age, sex, race, Hispanic or
Latino ethnicity, marital status, and usual full- or part-time status 37A-28. Persons at work by occupation, sex, and usual full- or part-lime status 38
Characteristics of the Unemployed
A-29. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex 39A-30. Unemployed persons by occupation and sex 40A-31. Unemployed persons by industry and sex 41A-32. Unemployed persons by reason for unemployment, sex, and age 43A-33. Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity 44A-34. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment 45A-35. Unemployed total and full-time workers by duration of unemployment 45A-36. Unemployed persons by age, sex, race, Hispanic or Latino ethnicity, marital status,
and duration of unemployment 46A-37. Unemployed persons by occupation, industry, and duration of unemployment 47
Persons Not in the Labor Force
A-38. Persons not in the labor force by desire and availability for work, age, and sex... 48
Multiple Jobholders
A-39. Multiple jobholders by selected demographic and economic characteristics 49
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Monthly Establishment Data
Page
Historical
B-l. Employees on nonfarm payrolls by major industry sector, 1955 to date 50B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector, 1964 to daite 51
Seasonally Adjusted Data
Employment
National
B~3. Employees on nonfarm payrolls by major industry sector and selected industry detail 55B-4. Production or nonsupervisory workers on private nonfarm payrolls by major industry sector
and selected industry detail 59
B-5. Diffusion indexes of employment change 60
States
B-6. Employees on nonfarm payrolls by State and major industry 61
Hours and Earnings
National
B-7. Average weekly hours of production or nonsupervisory workers on private nonfarmpayrolls by major industry sector and selected industry detail 70
B-8. Indexes of aggregate weekly hours of product!OHIL or nonsupervisory workers on private nonfarmpayrolls by major industry sector and selected industry detail 71
B- 9. Hours of wage and salary workers on nonfarm payrolls by major industry; 72B-10. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail..... 73Not Seasonally Adjusted Data
Employment
National
B-ll. Employees on nonfann payrolls by detailed industry 74
States, Areas, and Divisions
B-12. Employees on nonfarm payrolls in States and selected areas by major industry.. ,..,.. 94
B-13. Employees on nonfarm payrolls by State, selected metropolitan area, and metropolitan division 118
Hours and Earnings
NationalB-14. Average hours and earnings of production or tionsupervisory workers on private nonfann
payrolls by detailed industry ....; .'• 124B-15. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls 152B-l6. Average hourly and weekly earnings of production or nonsupervisory workers on private
nonfarm payrolls by major industry sector and selected industry detail, in currentand constant (1982) dollars 153
States, Areas, and Divisions
B-17. Average hours and earnings of production workers on manufacturing payrolls in Statesand selected areas . , 154
B-l8. Average hours and earnings of production workers on manufacturing payrolls in selectedStates, metropolitan areas, and metropolitan divisions , 157
i l l
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Monthly Regional, State, Area, and Division Labor Force Data
Page
Seasonally Adjusted Data
C-l. Labor force status by census region and division 158
C-2. Labor force status by State 160
Nat Seasonally Adjusted Data
C-3. Labor force status by State and metropolitan area 165C-4. Civilian labor force and unemployment by State, selected metropolitan area,
and metropolitan division 172
Explanatory Notes and Estimates of Error
Page Page
Introduction 173Relationship between the household and establishment
series 173Comparability of household data with other series 174Comparability of payroll employment data with
other series 174
Household data 175Collection and coverage 175Concepts and definitions 175Historical comparability 177
Changes in concepts and methods 177Noncomparability of labor force levels 179Changes in the occupational and industrial
classification systems 182Sampling . 183
Selection of sample areas 183Selection of sample households 184Rotation of sample 184CPS sample, 1947 to present 184
Estimating methods 185Noninterview adjustment 185Ratio estimates 185
First stage 185National coverage adjustment 185State coverage adjustment 186Second stage 186
Composite estimation procedure 186Rounding of estimates 186Reliability of the estimates 186
Nonsampling error 186Sampling error 187
Tables 1-B through 1-H 187
Establishment data 193Data collection 193Concepts 193Estimating methods 195
Benchmarks 196Monthly estimation 196
Establishment data—ContinuedStratification 196Weighted link-relative technique 196Summary of methods table.. 197Weighted link and taper technique 197Business birth and death estimation 199Residential and nonresidential specialtytrade contractors estimates 200
The sample 200Design ' 200
Frame and sample selection 201Selection weights 201Sample rotation 201Frame maintenance and sample updates..... 202Subsampling 202
Coverage 202Employment benchmarks and sample
coverage table 202Reliability 202
Benchmark revision as a measure of surveyerror 203
Revisions between preliminary and final data 203Variance estimation 203Appropriate uses of sampling variances 203Sampling errors 203
Statistics for States, areas, and divisions 204
Region, State, area, and division labor force data.... 212Federal-State cooperative program 212Estimating methods 212
Estimates for States 212Estimates for substate labor market areas 212
Employment 213Unemployment 213Substate adjustment for consistency andadditivity 213
Estimates for parts of LMAs 213Annual activities 214
Seasonal adjustment 215
I V
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Employment and UnemploymentDevelopments, July 2005
Nbnfarm employment grew by 207,000 in July, and tlic:unemployment rate was unchanged at 5.0 percentOver the month, payroll employment rose in man}
service-providing industries.
UnemploymentBoth the number of unemployed persons, 15 million, and theunemployment rate, 5.0 percent, were unchanged in July. Ayear earlier, the number of unemployed was 8.2 million andthe jobless rate was 5.5 percent
Over the month, the unemployment rates for most majqiworker groups—adult men (43 percent), adult women (4.7percent), teenagers (16.1 percent), whites (4.3 percent), andHispanics or Latinos (5.5 percent)—showed little or rscchange. The jobless rate for blacks declined from 103 to 9.5percent over the month. The unemployment rate for Asianswas 5.2 percent, not seasonally adjusted. (See tables A-3.A-4,andA-13.)
Total employment and the labor forceBoth total employment and the civilian labor force rosein July. The employment-population ratio, at 62.8 percent,and the labor force participation rate, at 66.1 percent, weieessentially unchanged over the month. The employment-population ratio has trended up in recent months. (SeetableA-3.)
Persons not in the labor forceIn July, 1.5 million persons were marginally attached to thelabor force, about the same as a year earlier. These individualswanted and were available to work and had looked for a jobsometime in the prior 12 months. They were not counted asunemployed, however,.because they did not actively searchfor work in the 4 weeks preceding the survey. There were499,000 discouraged workers in July, about the same as ayear earlier. Discouraged workers, a subset of the marginallyattached, were not currently looking for work specificallybecause they believed no jobs were available for them. Theother 1.0 million persons marginally attached to the laborforce had not searched for work for reasons such as schoolattendance or family responsibilities. (See table A-38.)
Industry payroll employmentTotal nonfann employment rose by 207,000 in July to 133.8million, seasonally adjusted. This followed job gains of126,000 in May and 166,000 in June (as revised). In July,
there were employment gains in many service-providingindustries, including retail trade, professional and technicalservices, financial activities, food services, and health care.(See table B-3.)
Retail trade employment rose by 50,000 in July, followinglittle change in June. This industry has gained 197,000 jobsover the year. In July, retail employment gains werewidespread, including growth in clothing stores (13,000),motor vehicle and parts dealers (10,000), and building materialand garden supply stores (7,000).
Employment in professional and technical servicesincreased by 23,000 in July. Over the year, this industry hasadded 211,000 jobs. Management and technical consultingservices, as well as architectural and engineering services,contributed to the July gain.
Employment in financial activities rose by 21,000 over themonth, as credit intermediation and real estate showedcontinued strength. Since July 2004, employment in creditintermediation has grown by 93,000, while real estate hasadded 54,000 jobs.
Elsewhere in the service-providing sector, employmentin food services and drinking places rose by 30,000 overthe month. This industry has added 262,000 jobs overthe year. The health care industry continued to grow inJuly, adding 29,000 jobs. Ambulatory health care services(which includes doctors' offices and outpatient climes),hospitals, and nursing and residential care facilities allcontributed to the employment gain. Temporary help servicesemployment was flat in July and has shown little net changesince April
In the goods-producing sector, construction employmentcontinued to trend up. Thus far this year, job gains inconstruction have averaged 21,000 per month, about in linewith the average monthly increase for 2004. In July,manufacturing employment was about unchanged. The motorvehicle and parts industry shed 11,000 jobs, reflecting larger-than-usual shutdowns for annual retooling. Employmentin wood products fell by 4,000. These losses were partlyoffset by small increases in several other manufacturingindustries. Mining employment remained about the sameover the month.
Weekly hoursThe average workweek for production or nonsupervisoryworkers on private nonfann payrolls was unchanged at 33.7hours in July, seasonally adjusted. The manufacturing
1
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workweek remained at 40.4 hours, while manufacturingovertime increased by 0.1 hour to 4.5 hours. (See table B-7.)
The index of aggregate weekly hours of production ornonsupervisory workers on private nonfarm payrollsincreased by 0.2 percent in July to 102.7 (2002=100). Themanufacturing index was down by 0.1 percent over the monthto 93.4. (See table B-8.)
Hourly and weekly earningsAverage hourly earnings of production or nonsupervisoryworkers on private nonfarm payrolls rose by 6 cents in Julyto $16.13, seasonally adjusted. Average weekly earningsincreased by 0.4 percent over the month to $543.58. Overtheyear, both average hourly and weekly earnings grew by 2.7percent. (See table B-10.)
Scheduled Release Dates
Employment and unemployment data are scheduled for initial release onthe following dates:
Reference month
August
September
October
Release date
September 2
October 7
November 4
Reference month
November
December
January
Release date
December 2
January 6
February 3
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Summary table A. Major labor force status categories, seasonally adjusted
(Numbers in thousands)
Category2004
July Aug. I Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
Labor force status
Civilian noninstitutional populationCivilian laborforce
Percent of populationEmployed
Percent of populationUnemployed
Not in labor force
All workersMen, 20 years and over....Women, 20 years and overBoth sexes, 16 to 19 yearsWhiteBlack or African American .Hispanic or Latino ethnicity
223,422147,823
66.2139,639
62.58,184
75,599
223,677147,676
66.0139,658
62.48,018
76,001
223,941147,531
65.9139,527
62.38,005
76,410
224,192147,893
66.0139,827
62.48,066
76,299
224,422148,313
66.1140,293
62.58,020
76 109
224,640148,203
66.0140,156
62.48,047
76,437
224,837147,979
65.8140,241
62.47,737
76,858
225,041148,132
65.8140,144
62.37,988
76,909
225,236148,157
65.8140,501
62.47,656
77,079
225,441148,762
66.0141,099
62.67,663
76,679
225,670149,122
66.1141,475
62.77,647
76,547
225,911149,123
66.0141,638
62.77,486
76,787
226,153149,573
66.1142,076
62.87,497
76,580
Unemployment rates
5.54.94.9
17.64.8
11.06.8
5.45.04.7
17.04.7
10.56.9
5.45.04.7
16.64.7
10.47.0
5.54.94.8
17.24.7
10.76.7
5.44.94.7
I6.54.6
10.86.7
5.44.94.7
17.64.6
10.86.6
5.24.74.6
16.34.4
10.66.1
5.44.94.7
17.54.6
10.96.4
5.24.64.5
16.94.4
10.35.7
5.24.44.6
17.74.4
10.46.4
5.14.44.6
17.94.4
10.16.0
5.04.34.6
16.44.3
10.35.8
5.04.34.7
16.14.39.55.5
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
Summary table B. Employment, hours, and earnings of employees on nonfarm payrolls, seasonally adjusted
(Numbers in thousands)
Industry
Goods-producing1
ConstructionManufacturing
Service-providing1
Retail tradeTransportation and warehousing
InformationFinancial activitiesProfessional and business servicesEducation and health services . . . .Leisure and hospitalityGovernment
Goods-producing1...ConstructionManufacturing
Service-providing1 ....Retail tradeTransoortation and warehousincs
InformationFinancial activities . .Professional and business servicesEducation and health servicesLeisure and hosoitalitvGovernment
Total DiivateManufacturing
Overtime
Total privateManufacturing
Average hourly earnings, total private:Current dollarsConstant(1982) dollars3.
Average weekly earnings, total private
July
131,56221,9026,965
14,341109,66015048.24257.0
3,1448,043
16,45316,96312,49721,586
Aug.
131,75021,9466,985
14,366109,80415043.34260.4
3,1358,058
16,47017,01012,50821,645
2004
Sept.
131,88021,9476,998
14,352109,93315037.74274.1
3,1278,083
16,51417,01912,52221,677
Oct.
132,16221,982
7,04214,344
110.18C15056.1:4279.6
3,1318,092
16,61417,08112,54621,700
Hoy.
132,29421,9967,060
14,337110,29815081.44289.6
3,1338,107
16,61117,10812,57121,706
Dec.
2005
Jan. Feb.
Employment
132,44922,0227,086
14,334110,42715077.04288.0
3,1278,128
16,67417,14212,58921,700
132,57322,0047,090
14,307110,56915081.24316.0
3,1238,150
16,69417,17812,61121,710
132,87322,0667,133
14,321110,80715125.44324.1
3,1278,165
16,77517,18612,66021,733
Mar.
132,99522,0937,159
14,315110,90215128.74336.6
3,1348,167
16,79617,21012,66221,731
Apr.
133,28722,1307,207
14,300111,15715157.54355.8
3,1528,182
16,84317,24312,72321,745
May
133,41322,1387,213
14,301111,27515185.84361.4
3,1468,189
16,85117,28912,73621,754
JuneP
133,57922,1367,228
14,280111,44315195.34357.9
3,1468,208
16,90817,33212,76021,756
JulyP
133,78622,140
7,23514,276
111,64615245.14366.3
3,1488,229
16,94117,35312,79321,782
Over-the-month change
831210-371
-12.36.1-7-838271115
33.740.8
4.6
188442025
144-4.93.4-91517471159
33.740.9
4.6
1301
13-14129-5.613.7
-82544
91432
33.840.84.6
2823545-8
24718.85.5
410
100622423
33.840.7
4.5
1321417-7
11824.910.0
214-327256
33.740.54.5
1552626-3
129-4.4-1.6
-621633418-6
124-18
4-271424.2
28.0-42220362210
300624314
23844.2
8.14
158118
3923
Hours of work2
33.740.5
4.5
33.740.7
4.5
33.740.64.6
1222726-6953.3
12.572
212412-2
33.740.4
4.5
2923748
-1525528.819.2
181547336114
33.840.54.4
126861
11828.3
5.6-678
46139
166-215
-211689.5
-3.50
195743242
20747
-4203
49.88.4
22133213326
33.740.44.4
33.740.4
4.4
33.740.44.5
Indexes of aggregate weekly hours (2002=100)2
100.394.6
$15.708.23
529.09
100.595.1
$15.748.25
530.44
100.994.7
$15.778.25
533.03
101.294.4
$15.818.22
534.38
101.193.9
$15.828.21
533.13
101.293.9
$15.858.23
534.15
101.594.2
Earnings'
$15.908.24
535.83
101.894.0
$15.918.22
536.17
101.993.6
$15.958.19
537.52
102.593.8
$16.008.16
540.80
102.393.6
$16.038.19
540.21
102.593.5
$16.078.21
541.56
102.793.4
$16.13N.A.
543.58
11ncludes other industries, not shown separately.2 Data relate to production or nonsupervisory workers.3 The Consumer Price Index for Urban Wage Earners and Clerical Workers
(CPI-W) is used to deflate this earnings series.N.A = not available.
p= preliminary.NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduced with the release ofJanuary 2006 estimates, all seasonally adjusted data from January 2001forward] are subject to revision.
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Chart 1. Nonfarm payroll employment, seasonally adjusted, 2001-2005
Thousands135,000
132,500
130,000
127,500
125,000
122,500
120,000 -
117,500 , i , , , i , , , , ,
Thousands135,000
, i , , , , ,
2001 2002 2003 2004 2005
127,500
125,000
122,500
120,000
117,500
Chart 2. Unemployment rate, seasonally adjusted, 2001-2005
Percent7.0
2001 2002 2003 2004 2005NOTE: Beginning in 2003, data reflect an additional upward adjustment to population controls and
other changes to the survey. Beginning in January 2004, data incorporate revisions in the populationcontrols. Beginning in January 2005, data in corporate revision in the population controls. These changesaffect comparability with data for prior periods.
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HOUSEHOLD DATAHISTORICAL
A - 1 . Employment status of the civilian noninstitutional population 16 years and over, 1969 to date
(Numbers in thousands)
Yearand
month
Civiliannoninsti-tutiona!
population
Civilian labor force
NumberPercent
ofpopulation
Employed
I,I umberPercent
ofpopulation
Unemployed
Number
Percentof
laborforce
Not inlaborforce
Annual averages
1969 ..
1970..1971 ..1972 1
1973 1
1974..1975..1976..1977..1978 1
1979..
1980..1981 ..1982..1983..1984..1985..1986 1
1987..1988..1989..
1990 1
1991 ..1992..1993..1994 1
1995..1996 ..1997 1
1998 1
1999 1
2000 1
2001 ..2002 ..2003 1
2004 1
134,335
137,085140,216144,126147,096150,120153,153156,150159,033161,910164,863
167,745170,130172,271174,215176,383178,2061808587182,753184,613186,393
189,164190,925192,805194,838196,814198,584200,591203,133205,220207,753
212,577215,092217s570221,168223,357
2004:JulyAugustSeptember.....OctoberNovemberDecember......
2005:January3
FebruaryMarchAprilMayJuneJuly ................
223,422223,677223,941224,192224,422224,640
224,837225,041225,236225,441225,670225,911226,153
80,734
82,77184,38287,03489,42991,94993,77496,15899,008102,250104,962
106,940108,670110,204111,550113,544115,461117,834119,865121,669123,869
125,840126,346128,105129,200131,056132,304133,943136,297137,673139,368
142,583143,734144,863146,510147,401
60.1
60.460.260.460.861.361.261.662.363.263.7
63.863.964.064.064.464.865.365.665.966.5
66.566.266.466.366.666.666.867.167.167.1
67.166.866.666.266.0
77,902
78,67879,36782,15385,06486,79485,84688,75292,01796,04898,824
99,302100,39799,526100,834105,005107,150109,597112,440114,968117,342
118,793117,718118,492120,259123,060124,900126,708129,558131,463133,488
136,891136,933136,485137,736139,252
58.0
57.456.657.057.857.856.156.857.959.359.9
59.259.057.857.959.560.160.761.562.363.0
62.861.761.561.762.562.963.263.864.164.3
64.463.762.762.362.3
2,832
4,0935,0164,8824,3655,1567,9297,4066,9916,2026,137
7,6378,273
10,67810,7178,5398,3128,2377,4256,7016,528
7,0478,6289,6138,9407,9967,4047,2366,7396,2105,880
5,6926,8018,3788,7748,149
Monthly data, seasonally adjusted 2
147,823147,676147,531147,893148,313148,203
147,979148,132148,157148,762149,122149,123149,573
66.266.065.966.066.166.0
65.865.865.866.066.166.066.1
139,639139,658139,527139,827140,293140,156
140,241140,144140,501141,099141,475141,638142,076
62.562.462.362.462.562.4
62.462.362.462.662.762.762.8
8,1848,0188,0058,0668,0208,047
7,7377,9887,6567,6637,6477,4867,497
3.5
4.95.95.64.95.68.57.77.16.15.8
7.17.69.79.67.57.27.06.25.55.3
5.66.87.56.96.15.65.44.94.54.2
4.04.75.86.05.5
5.55.45.45.55.45.4
5.25.45.25.25.15.05.0
53,602
54,31555,83457,09157,66758,17159,37759,99160,02559,65959,900
60,80661,46062,06762,66562,83962,74462,75262,88862,94462,523
63,32464,57864,70065,63865,75866,28066,64766,83667,54768,385
69,99471,35972,70774,65875,956
75,59976,00176,41076,29976,10976,437
76,85876,90977,07976,67976,54776,78776,580
1 Not strictly comparable with prior years. For anexplanation, see "Historical Comparability" under theHousehold Data section of the Explanatory Notes andEstimates of Error.
2 The population figures are not adjusted for seasonal
variation.3 Beginning in January 2005, data are not strictly
comparable with data for 2004 and earlier years because ofthe revisions in the population controls used in the householdsurvey.
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HOUSEHOLD DATAHISTORICAL
A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1992 to date
(Numbers in thousands)
Sex, year,and month
Civiliannoninsti-tutional
population
Civilian labor force
NumberPercent
ofpopulation
Employed
NumberPercent
ofpopulation
Unemployed
Number
Percentof
force
Not inlaborforce
Annual averages
MEN199219931994119951996199711998119991
20001200120022003120041
2004:JulyAugustSeptemberOctober....NovemberDecember
2005:January 3 ,February ..MarchAprilMayJuneJuly
WOMEN199219931994119951996199711998119991
20001200120022003120041
2004:JulyAugust .....SeptemberOctober...NovemberDecember
2005:January 3 ,February .March ......AprilMayJuneJuly
92,27093,33294,35495,17896,20697,71598,75899,722
101,964103,282104,585106,435107,710
107,746107,881108,020108,153108,276108,392
108,489108,598108,703108,812108,934109,062109,190
100,535101,506102,460103,406104,385105,418106,462108,031
110,613111,811112,985114,733115,647
115,676115,796115,921116,039116,146116,247
116,348116,443116,534116,629116,736116,849116,963
69,96470,40470,81771,36072,08673,26173,95974,512
76,28076,88677,50078,23878,980
79,19279,25379,04179,29079,60279,412
79,14679,37379,59879,83980,04880,06380,199
58,14158,79560,23960,94461,85763,03663,71464,855
66,30366,84867,36368,27268,421
68,63168,42368,49068,60368,71168,791
68,83268,75968,55968,92369,07569,06069,374
75.875.475.175.074.975.074.974.7
74.874.474.173.573.3
64,44065,34966,45067,37768,20769,68570,69371,446
73,30573,19672,90373,33274,524
70.070.470.870.971.371.671.6
71.970.969.768.969.2
5,5235,0554,3673,9833,8803,5773,2663,066
2,9753,6904,5974,9064,456
Monthly data, seasonally adjusted2
73.573.573.273.373.573.3
73.073.173.273.473.573.473.4
74,81174,82474,62974,85275,18874,938
74,93474,96475,37575,73575,98576,09276,272
69.469.469.169.269.469.1
69.169.069.369.669.869.869.9
4,3814,4294,4134,4384,4144,474
4,2124,4104,2244,1044,0623,9713,927
Annual averages
57.857.958.858.959.359.859.860.0
59.959.859.659.559.2
54,05254,91056,61057,52358,50159,87360,77162,042
63,58663,73763,58264,40464,728
53.854.155.355.656.056.857.157.4
57.557.056.356.156.0
4,0903,8853,6293,4213,3563,1622,9442,814
2,7173,1113,7813,8683,694
Monthly data, seasonally adjusted 2
59.359.159.159.159.259.2
59.259.058.859.159.259.159.3
64,82864,83464,89864,97565,10465,218
65,30765,18065,12765,36465,49065,54565,804
56.056.056.056.056.156.1
56.156.055.956.056.156.156.3
3,8033,5893,5923,6283,6063,573
3,5253,5793,4323,5583,5853,5153,570
7.97.26.25.65.44.94.44.1
3.94.85.96.35.6
5.55.65.65.65.55.6
5.35.65.35.15.15.04.9
7.06.66.05.65.45.04.64.3
4.14.75.65.75.4
5.55.25.25.35.25.2
5.15.25.05.25.25.15.1
22,30622,92723,53823,81824,11924,45424.79925,210
25,68426,39627,08528,19728,730
28,55428,62828,97928,86328,67428,981
29,34229,22429,10428,97328,88628,99828,991
42,39442,71142,22142,46242,52842,38242,74843,175
44,31044,96245,62146,46147,225
47,04547,37347,43147,43647,43647,456
47,51647,68447,97547,70647,66147,78947,589
1 Not strictly comparable with prior years. For an explanation, see"Historical Comparability" under the Household Data section of the ExplanatoryNotes and Estimates of Error.
2 The population figures are not adjusted for seasonal variation.
3 Beginning in January 2005, data are not strictly comparable with data for2004 and earlier years because of the revisions in the population controls usedin the household survey.
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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
2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
TOTAL
Civilian noninstitutionai population 1
Civilian labor forcePercent of population
EmployedEmployment-population ratio ......
UnemployedUnemployment rate
Not in labor forcePersons who currently want a job
Men, 16 years and over
Civilian noninstitutional population 1
Civilian labor forcePercent of population
EmployedEmployment-population ratio..........
UnemployedUnemployment rate ....
Not in labor force
Men, 20 years and over
Civilian noninstitutional population 1.....Civilian labor force
Percent of populationEmployed
Employment-population ratio..........Unemployed
Unemployment rateNot in labor force
Women, 16 years and over
Civilian noninstitutional population 1 .....Civilian labor force-
Percent of populationEmployed
Employment-population ratioUnemployed
Unemployment rateNot in labor force
Women, 20 years and over
Civilian noninstitutionai population l
Civilian labor forcePercent of population
Employed.....Employment-population ratio
UnemployedUnemployment rate
Not in labor force
Both sexes, 16 to 19 years
Civilian noninstitutional population 1
Civilian labor forcePercent of population
Employed.Employment-population ratio
UnemployedUnemployment rate
Not in labor force
223,422147,823
66.2139,639
62.58,184
5.575,5994,688
107,74679,192
73.574,811
69.44,381
5.528,554
99,51275,567
75.971,830
72.23,737
4.923,945
115,67668,631
59.364,828
56.03,803
5.547,045
107,68765,085
60.461,902
57.53,183
4.942,603
16,2227,17244.2
5,90736.4
1,26517.6
9,051
223,677147,676
66.0139,658
62.48,018
5.476,0014,908
107,88179,253
73.574,824
69.44,429
5.628,628
99,64275,615
75.971,847
72.13,768
5.024,026
115,79668,423
59.164,834
56.03,589
5.247,373
107,80164,909
60.261,877
57.43,032
4.742,892
16,2347,15244.1
5,93436.6
1,21717.0
9,082
223,941147,531
65.9139,527
62.38,005
5.476,4104,903
108,02079,041
73.274,629
69.14,413
5.628,979
99,77675,462
75.671,701
71.93,761
5.024,314
115,92168,490
59.164,898
56.03,592
5.247,431
107,92065,008
60.261,939
57.43,069
4.742,912
16,2467,062
43.55,887
36.21,175
16.69,184
224,192147,893
66.0139,827
62.48,066
5.576,299
5,338
108,15379,290
73.374,852
69.24,438
5.628,863
99,90475,632
75.771,895
72.03,736
4.924,272
116,03968,603
59.164,975
56.03,628
5.347,436
108,03265,126
60.362,024
57=43,102
4.842,906
16,2577,13543.9
5,90836.3
1,22717.2
9,122
224,422148,313
66.1140,293
62.58,020
5.476,109
5,087
108,27679,602
73.575,188
69.44,414
5.528,674
100,01775,866
75.972,134
72.13,733
4.924,151
116,14688,711
59.2135,104
56.13,606
5.247,436
108,12965,244
60.362,145
57.53,099
4.742,885
16,2757,20244.2
6,01436.9
1,18816.5
9,074
224,640148,203
66.0140,156
62.48,047
5.476,437
5,021
108,39279,412
73.374,938
69.14,474
5.628,981
100,12675,754
75.772,020
71.93,733
4.924,372
116,24768,791
59.265,218
56.13,573
5.247,456
108,22165,260
60.362,208
57.53,051
4.742,961
16,2937,18944.1
5,92736.4
1,26217.6
9,104
224,837147,979
65.8140,241
62.47,737
5.276,8584,982
108,48979,146
73.074,934
69.14,212
5.329,342
100,21975,594
75.472,029
71.93,565
4.724,625
116,34868,832
59.265,307
56.13,525
5.147,516
108,31665,318
60.362,295
57.53,023
4.642,998
16,3027,066
43.35,917
36.31,150
16.39,235
225,041148,132
65.8140,144
62.37,988
5.476,909
4,995
108,59879,373
73.174,964
69.04,410
5.629,224
100,32175,816
75.672,131
71.93,685
4.924,505
116,44368,759
59.065,180
56.03,579
5.247,684
108,40365,270
60.262,202
57.43,068
4.743,133
16,3177,04643.2
5,81135.6
1,23517.5
9,271
225,236148,157
65.8140,501
62.47,656
5.277,079
5,001
108,70379,598
73.275,375
69.34,224
5.329,104
100,41975,921
75.672,429
72.13,492
4.624,498
116,53468,559
58.865,127
55.93,432
5.047,975
108,48665,051
60.062,099
57.22,952
4.543,435
16,3327,185
44.05,973
36.61,212
16.99,147
225,441148,762
66.0141,099
62.67,663
5.276,679
5,134
108,81279,839
73.475,735
69.64,104
5.128,973
100,52076,173
75.872,817
72.43,356
4.424,347
116,62968,923
59.165,364
56.03,558
5.247,706
108,57365,420
60.362,384
57.53,036
4.643,153
16,3477,168
43.95,897
36.11,271
17.79,179
225,670149,122
66.1141,475
62.77,647
5.176,547
4,728
108,93480,048
73.575,985
69.84,062
5.128,886
100,63476,439
76.073,100
72.63,339
4.424,195
116,73669,075
59.265,490
56.13,585
5.247,661
108,67265,479
60.362,464
57.53,015
4.643,192
16,3647,20444.0
5,91136.1
1,29317.9
9,160
225,911149,123
66.0141,638
62.77,486
5.076,787
5,240
109,06280,063
73.476,092
69.83,971
5.028,998
100,75476,462
75.973,174
72.63,288
4.324,292
116,84969,060
59.165,545
56.13,515
5.147,789
108,77665,470
60.262,451
57.43,019
4.643,306
16,3817,19243.9
6,01336.7
1,17816.4
9,190
226,153149,573
66.1142,076
62.87,497
5.076,580
5,015
109,19080,199
73.476,272
69.93,927
4.928,991
100,87476,624
76.073,363
72.73,261
4.324,250
116,96369,374
59.365,804
56.33,570
5.147,589
108,88065,768
60.462,690
57.63,078
4.743,113
16,3997,18243.8
6,02436.7
1,15816.1
9,217
1 The population figures are not adjusted for seasonal variation.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutionai population by race, sex, age, and Hispanic or Latino ethnicity,seasonally adjusted
(Numbers in thousands)
Employment status, race,sex, age, and Hispanic
or Latino ethnicity
2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
WHITE
Civilian noninstitutionai population 1 ...Civilian labor force
Percent of populationEmployedEmployment-population ratio
UnemployedUnemployment rate
Not in labor force
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Both sexes, 16 to 19 years
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
BLACK OR AFRICAN AMERICAN
Civilian noninstitutionai population 1 ...Civilian labor force
Percent of populationEmployedEmployment-population ratio
UnemployedUnemployment rate
Not in labor force
Men, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Women, 20 years and over
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
182,676121,383
66.4115,610
63.35,773
4.861,293
63,15376.4
60,45873.2
2,6954.3
52,27359.8
50,08257.3
2,1924.2
5,95647.3
5,07040.288614.9
26,07816,775
64.314,937
57.31,838
11.09,303
7,39170.6
6,62963.376210.3
8,59365.2
7,81159.27829.1
182,846121,278
66.3115,526
63.25,752
4.761,568
63,11576.3
60,36873.0
2,7474.4
52,21459.7
50,12657.3
2,0884.0
5,94947.2
5,03239.991715.4
26,12016,721
64.014,972
57.31,749
10.59,399
7,43970.9
6,66563.677410.4
8,48364.2
7,74358.67408.7
183,022120,995
66.1115,318
63.05,677
4.762,027
62,85975.9
60,14972.6
2,7104.3
52,24359.6
50,14157.2
2,1024.0
5,89346.7
5,02839.986514.7
26,16316,711
63.914,981
57.31,730
10.49,452
7,47071.1
6,70763.876310.2
8,50464.3
7,74758.67578.9
183,188121,273
66.2115,618
63.15,655
4.761,915
63,09276.1
60,41572.9
2,6784.2
52,27059.6
50,18657.2
2,0844.0
5,91146.9
5,01739.889415.1
26,20416,820
64.215,012
57.31,808
10.79,384
7,49071.2
6,72263.976810.2
8,51364.3
7,75658.67578.9
183,340121,606
66.3115,966
63.35,640
4.661,735
63,22576.2
60,56573.0
2,6604.2
52,44359.8
50,31857.4
2,1254.1
5,93847.0
5,08340.385514.4
26,23916,728
63.814,913
56.81,81410.8
9,512
7,48571.0
63.578810.5
8,43863.6
7,67557.97639.0
183,483121,509
66.2115,910
63.25,600
4.661,973
63,19976.1
60,57072.9
2,6294.2
52,38559.7
50,34457.3
2,0403.9
5,92646.9
4,99539.593115.7
26,27316,713
63.614,907
56.71,80610.8
9,559
7,47370.8
6,67763.379610.7
8,47763.9
7,70258.07759.1
183,640121,553
66.2116,158
63.35,395
4.462,088
63,25976.1
60,71273.0
2,5474.0
52,41459.7
50,39257.4
2,0223.9
5,87946.5
5,05440.082514.0
26,30616,721
63.614,946
56.81,775
10.69,585
7,38069.8
6,61262.676810.4
8,53264.2
7,77058.57638.9
183,767121,621
66.2116,022
63.15,598
4.662,146
63,39076.2
60,77673.0
2,6144.1
52,31159.5
50,24657.2
2,0663.9
5,91946.8
5,00139.591815.5
26,34216,708
63.414,890
56.51,818
10.99,634
7,43870.3
6,63062.680910.9
8,52764.1
7,75158.37769.1
183,888121,484
66.1116,135
63.25,349
4.462,403
63,49776.3
60,96573.2
2,5324.0
52,05559.2
50,09656.9
1,9593.8
5,93246.9
5,07440.185814.5
26,37716,741
63.515,025
57.01,716
10.39,636
7,40369.8
6,71963.46849.2
8,50763.9
7,74658.27613.9
184,015121,961
66.3116,574
63.45,387
4.462,054
63,56276.3
61,16273.4
2,3993.8
52,46359.6
50,38657.2
2,0774.0
5,93646.9
5,02639.791015.3
26,41316,940
64.115,184
57.51,756
10.49,473
7,55571.2
6,84964.57069.3
8,55264.1
7,79858.57548.8
184,167122,177
66.3116,791
63.45,386
4.461,989
63,74776.4
61,33673.5
2,4103.8
52,45559.6
50,39957.2
2,0563.9
5,97647.2
5,05639.992015.4
26,45017,050
64.515,329
58.01,721
10.19,400
7,61571.6
6,91465.07009.2
8,58964.3
7,87159.07188.4
184,328121,985
66.2116,778
63.45,206
4.362,343
63,69176.3
61,37173.5
2,3203.6
52,32559.4
50,28457.0
2,0413.9
5,96847.1
5,12340.484514.2
26,48817,147
64.715,378
58.11,769
10.39,341
7,70672.4
6,96365.47439.6
8,62664.5
7,86358.87628.8
184,490122,383
66.3117,149
63.55,234
4,362,107
63,70076.2
61,35373.4
2,3463.7
52,75759.8
50,67457.4
2,0833.9
5,92646.7
5,12140.480513.6
26,52617,190
64.815,561
58.71,628
9.59,336
7,76572.8
7,11666.76508.4
8,60964.3
7,90059.07098.2
See footnotes at end of table.
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutionai population by race, sex, age, and Hispanic or Latino ethnicity,seasonally adjusted—Continued
(Numbers in thousands)
Employment status, race,sex, age, and Hispanic
or Latino ethnicity
2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
BLACK OR AFRICANAMERICAN-Continued
Both sexes, 16 to 19 years
Civilian labor force ....Percent of population ....
EmployedEmployment-population ratio........
UnemployedUnemployment rate
HISPANIC OR LATINO ETHNICITY
Civilian noninstitutionai population 1 ...Civilian labor force
Percent of populationEmployedEmployment-population ratio........
UnemployedUnemployment rate
Not in labor force
79132.649620.529437.2
28,15019,432
69.018,102
64.31,330
6.88,718
79932.9564
23.2235
29.4
28,24319,463
68.918,128
64.21,335
6.98,780
73730.3526
21.621128.6
28,33819,444
68.618,079
63.81,366
7.08,894
81833.6534
21.928334.7
28,43119,524
68.718,213
64.11,311
6.78,907
80433.0542
22.226332.7
28,52019,552
68.618,238
63.91,313
6.713,968
76331.2528
21.6235
30.8
28,60819,544
68.318,252
63.81,292
6.69,064
80833.0564
23.024430.2
28,64219,379
67.718,198
63.51,181
6.19,263
74230.2509
20.723331.5
28,72919,458
67.718,211
63.41,248
6.49,270
83133.8560
22.827132.6
28,81519,541
67.818,425
63.91,117
5.79,273
83333.8537
21.829635.5
28,90219,665
68.018,413
63.71,252
6.49,237
84634.3543
22.0303
35.8
28,98919,761
68.218,578
64.11,183
6.09,228
81532.9551
22.326432.4
29,07919,777
68.018,623
64.01,154
5.89,302
81632.9545
22.027033.1
29,16819,794
67.918,698
64.11,096
5.59,374
1 The population figures are not adjusted for seasonal variation.NOTE: Estimates for the above race groups (white and black or African American) do not sum to totals because data are not presented for ail races. In addition,
persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2005,data reflect revised population controls used in the household survey.
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-5. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, seasonally adjusted
(Numbers in thousands)
Educational attainment2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
Less than a high school diploma
Civilian labor forceParticipation rate ........... : .......
Employed .Employment-population ratio ....
Unemployed .....Unemployment rate
High school graduates, no college1
Civilian labor forceParticipation rate
Employed ;.Employment-population ratio ....
UnemployedUnemployment rate
Some college or associate degree
Civilian labor forceParticipation rate
Employed ...Employment-population ratio
UnemployedUnemployment rate
Bachelor's degree and higher2
Civilian labor forceParticipation rate .....
EmployedEmployment-population ratio
UnemployedUnemployment rate
12,44946.1
11,41742.3
1,0328.3
38,24663.7
36,31860.5
1,9285.0
34,59771.5
33,14168.5
1,4554.2
40,14577.8
39,06275.7
1,0832.7
12,55445.6
11,53141.9
1,0238.2
38,00263.2
36,12960.1
1,8734.9
34,49972.1
33,09669.1
1,4044.1
40,21977.8
39,15275.7
1,0682.7
12,74245.3
11,60841.3
1,1338.9
37,70063.2
35,89460.2
1,8064.8
34,43172.2
33,03769.3
1,3944.0
40,47177.8
39,43875.8
1,0332.6
12,50245.0
11,47141.3
1,0318.2
37,71263.5
35,87460.4
1,8384.9
34,54871.8
33,11268.8
1,4354.2
40,77277.8
39,74475.8
1,0272.5
12,72245.3
11,70341.6
1,0198.0
37,63063.1
35,78860.0
1,8424.9
34,54972.4
33,05169.3
1,4984.3
41,13178.5
40,09076,5
1,0412.5
12,81445.0
11,74641.3
1,0688.3
37,69563.1
35,84660.0
1,8494.9
34,48372.3
32,99569.2
1,4874.3
41,02678.7
40,00976.7
1,0182.5
12,57544.7
11,63741.49387.5
37,72962.2
35,94359.2
1,7864.7
34,52473.0
33,11770.0
1,4074.1
40,90778.4
39,92576.59822.4
12,58145.4
11,59541,99867.8
38,07762.7
36,22359.7
1,8544.9
34,84272.4
33,38769.4
1,4554.2
40,53478.0
39,56376.29722.4
12,50145.0
11,52841.59737.8
38,17362.6
36,37859.7
1,7954.7
34,86372.9
33,48470.0
1,3804.0
40,39577.5
39,41175.79852.4
12,47444.6
11,42940.8
1,0458.4
38,26563.0
36,58660.3
1,6794.4
34,86073.2
33,48970.3
1,3713.9
40,78877.7
39,78475.8
1,0042.5
12,79845.3
11.80241.89967.8
38,23363.2
36,51460.4
1,7194.5
34,69973.1
33,35170.3
1,3483.9
40,91377.4
39,91675.59972.4
12,90345.6
12,00642.58987.0
38,08063.2
36,30760.2
1,7734.7
34,63572.3
33,28369.5
1,3513.9
40,94577.5
40,00775.79382.3
13,15647.5
12,15443.8
1,0027.6
37,95963.6
36,12060.5
1,8394.8
34,85171,2
33,54768.5
1,3043.7
41,29777.8
40,30975.99872.4
1 Includes persons with a high school diploma or equivalent.2 Includes persons with a bachelor's, master's, professional, and doctoral degrees.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
10
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-6. 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
2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
EMPLOYED
Full-time workersMen, 16 years and overMen, 20 years and overWomen, 16 years and overWomen, 20 years and over .....Both 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 19years-.
UNEMPLOYMENT RATES
Full-time workersMen, 16 years and over...........Men, 20 years and overWomen, 16 years and over .....Women, 20 years and overBoth sexes, 16 to 19 years
Part-time workersMen, 16 years and over...........Men, 20 years and overWomen, 16 years and overWomen, 20 years and over .....Both sexes, 16 to 19 years ,
114,36466,46265,37147,86247,263
1,730
25,4648,4386,439
17,06914,7444,281
6,7913,7863,4802,9922,684
626
1,392592265819495632
5.65.45.15.95.4
26.6
5.26.63.94.63.3
12.9
114,77566,62965,49248,14947,396
1,886
25,0478,2896,375
16,72114,5144,158
6,6393,8403,4722,8212,547
620
1,377602298780472606
5.55.45.05.55.1
24.8
5.26.84.54.53.212.7
114,83166,53765,40948,42047,6181,804
24,7298,1116,26716,62314,3834,080
6,7333,8533,5202,8812,622592
1,295575256717457581
5.55.55.1
• 5.65.2
24.7
5.06.63.94.13.1
12.5
114,95466,72065,57848,24547,556
1,820
24,9318,1766,329
16,76514,4994,103
6,6113,8183,4592,8022,557
596
1,461635279826540642
5.45.45.05.55.1
24.7
5.57.24.24.73.6
13.5
115,41567,095.66,02148,29147,578
1,816
24,9403,1158,219
16,81314,6014,120
6,5703,7843,4452,8032,552
573
1,432625274795549609
5.45.35.05.55.1
24.0
5.47.14.24.53.612.9
115,58566,97465,94148,55947,8431,801
24,7288,0146,13916,69114,4874,102
6,6373,7983,4442,8372,598595
1,417677302749445670
5.45.45.05.55.2
24.8
5.47.84.74.33.014.0
115,85866,92765,92048,84648,0261,912
24,2207,8946,10316,29414,1114,006
6,4003,6473,3242,7432,512563
1,343574249769513580
5.25.24.85.35.0
22.7
5.36.83.94.53.512.7
115,37066,95965,98748,38847,6211,761
24,6267,9956,16216,69014,4324,033
6,5693,7433,3782,8212,552640
1,419648291760511617
5.45.34.95.55.1
26.6
5.47.S4.54.43.413.3
115,66967,22566,22648,41047,6511,792
24,7278,1326,18916,65314,3814,156
6,2243,5743,2112,6502,476537
1,406657270747469
5.15.04.65.24.9
23.0
5.47.54.24.33.2
13.8
116,52467,56966,54548,95248,214
1,765
24,5538,1516,256
16,42414,1864,111
6,3153,5113,1132,8072,559
643
1,371613254767475642
5.14.94.55.45.0
26.7
5.37.03.94.53.2
13.5
116,84667,82266,81549,08748,363
1,669
24,6628,1086,269
16,53014,1844,209
6,1953,4163,0842,7652,507
604
1,463657273843502689
5.04.84.45.34.926.6
5.67.54.24.93.414.1
117,20068,08366,96649,12648,3791,856
24,4648,0036,21416,43814,1274,123
6,0973,3383,0352,7242,517545
1,384630254754491639
4.94.74.35.34.9
22.7
5.47.33.94.43.4
13.4
117,33268,12667,05749,18448,433
1,842
24,7498,1076,249
16,71414,3134,188
6,0643,3343,0212,7232,510
532
1,442617248844562632
4.94.74.35.24.9
22.4
5.57.13.84.83.8
13.1
NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
i i
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-7. Employed persons by class of worker and part-time status, seasonally adjusted
(In thousands)
Category2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar Apr. May June July
CLASS OF WORKER
Agriculture and related industriesWage and salary workersSelf-employed workers
Nonagricultural industriesWage and salary workers
Private industriesIndustries except privatehouseholds .
GovernmentSelf-employed workers
PERSONS AT WORK PART TIME 1
All industries:Part time for economic reasons
Slack work or business conditionsCould only find part-time work
Part time for noneconomic reasons
Nonagricultural industries:Part time for economic reasons
Slack work or business conditionsCould only find part-time work
Part time for noneconomic reasons
2,2731,2411,014
137,257127,638107,887
107,13419,8419,529
4,4882,6421,472
19,737
4,3902,5801,484
19,327
2,3051,2651,014
137,321127,628107,508
106,68620,117
9,630
4,5092,8161,403
19,657
4,4082,7221,388
19,204
2,2211,213
970
137,460127,829107,692
106,91020,166
9,481
4,4762,8051,312
19,410
4,4002,7501,320
19,061
2,1551,194
921
137,764128,035107,823
107,09020,2139,702
4,7623,0521,385
19,704
4,6562,9711,363
19,288
2,2121,204
952
138,068128,431108,120
107,36020,309
9,505
4,5332,7611,420
19,499
4,4042,6851,396
19,141
2,1791,185
963
137,973128,459108,257
107,49220,2709,473
4,4742,7351,440
19,502
4,3822,6821,397
19,176
2,1201,181
904
138,112128,501108,219
107,41420,296
9,514
4,3952,7681,329
19,089
4,3032,7021,309
18,765
2,1451,208
903
138,005128,184107,978
107,16220,1069,709
4,2692,6291,296
19,555
4,1532,5721,268
19,254
2,1871,224
948
138,293128,400108,085
107,28620,249
9,767
4,3442,6431,419
19,458
4,2682,5921,411
19,182
2,2521,2071,023
138,869128,834108,353
107,53420,4299,895
4,2932,6131,363
19,584
4,1862,5401,351
19,226
2,2201,229
959
139,294129,494108,697
107,90820,779
9,768
4,3612,7411,346
19,435
4,2802,7051,331
19,160
2,3361,3121,004
139,237129,707109,203
108,39920,464
9,465
4,4652,6681,420
19,021
4,3862,6161,416
18,633
2,3341,311
987
139,668130,056109,651
108,83420,492
9,514
4,4272,7231,368
19,528
4,3692,6731,369
19,084
1 Persons at work excludes employed persons who were absent from their jobsduring the entire reference week for reasons such as vacation, illness, or industrialdispute. Part time for noneconomic reasons excludes persons who usually work fulltime but worked only 1 to 34 hours during the reference week for reasons such asholidays, illness, and bad weather.
NOTE: Detail for the data shown in this table will not necessarily add to totalsbecause of the independent seasonal! adjustment of the various series. Beginningin January 2005, data reflect revised population controls used in the householdsurvey.
12
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-8. Employed persons by age, sex, and marital status, seasonally adjusted
(Sn thousands)
Age, sex, and marital status2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
AGE AND SEX
Total, 16 years and over
16 to 19 years16 to 17 years.....18 to 19 years
20 years and over20 to 24 years25 years and over25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 years and over
Men, 16 years and over
16 to 19 years.16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over25 to 54 years
25 to 34 years35 to 44 years45 to 54 years ............................
55 years and over
Women, 16 years and over .........
16 to 19 years16 to 17 years18 to 19 years ...»
20 years and over20 to 24 years....25 years and over
25 to 54 years25 to 34 years35 to 44 years45 to 54 years
55 years and over
MARITAL STATUS
Married men, spouse presentMarried women, spouse present.....
139,639
5,9072,1493,758
133,73213,804
119,89097,69430,49634,65032,54822,196
74,811
2,9811,0021,990
71,8307,355
64,46652,61016,88718,736
11,857
64,828
2,9261,1471,768
61,9026,450
55,42445,08413,60915,91315,56210,340
44,94834,607
139,658
5,9342,1213,875
133,72413,777
119,99497,61030,49634,54732,56822,384
74,824
2,9771,0182,016
71,8477,284
64,59152,56416,94618,64116,97712,026
64,834
2,9571,1031,859
61,8776,493
55,40445,04613,55015,90615,59110,358
45,09934,494
139,527
5,8872,1493,730
133,64013,641
119,99397,66730,50834,55632,60422,326
74,629
2,9271,0401,874
71,7017,151
64,49752,55316,91718,63916,99811,943
64,898
2,9591,1091,856
61,9396,490
55,49745,11413,59115,91715,60610,383
45,09334,704
139,827
5,9082,1893,711
133,92013,842
120,06697,70030,43234,59932,66922,366
74,852
2,9571,0721,879
71,8957,307
64,59252,58216,90018,64917,03312,010
64,975
2,9511,1181,831
62,0246,535
55,47445,11813,53215,95015,63610,356
45,12734,808
140,293
6,0142,2403,739
134,27913,818
120,45597,88530,49534,73932,65122,571
75,188
3,0551,1171,914
72,1347,295
84,82352,69516,85118,79917,04512,128
65,104
2,9591,1231,826
62,1456,523
55,63345,19013,64415,94015,60610,443
45,46234,961
140,156
5,9272,2613,691
134,22913,851
120,42197,70130,50434,63232,56622,719
74,938
2,9171,0491,862
72,0207,354
64,70452,56316,81818,71917,02612,141
65,218
3,0101,2121,830
62,2086,497
55,71645,13813,68615,91215,54010,578
45,31534,878
140,241
5,9172,2673,634
134,32513,702
120,66998,04930,68334,58932,77622,620
74,934
2,9051,0681,825
72,0297,181
64,90052,84016,90218,76917,16912,061
65,307
3,0121,1991,809
62,2956,521
55,76945,20913,78215,82015,60810,560
45,17134,739
140,144
5,8112,2863,533
134,33313,531
120,75897,98630,58134,52432,88122,772
74,964
2,8331,0671,779
72,1317,131
65,01252,83716,90518,72317,20812,175
65,180
2,9781,2291,754
62,2026,400
55,74645,14913,67615,80015,67310,597
45,35134,601
140,501
5,9732,3393,651
134,52813,684
120,77597,95430,40034,58732,96822,821
75,375
2,9461,1301,828
72,4297,193
65,20152,93316,79518,79817,34012,267
65,127
3,0281,2091,823
62,0996,491
55,57545,02113,60415,78915,62810,554
45,38234,307
141,099
5,8972,2353,654
135,20113,653
121,50398,24630,51934,58833,13923,257
75,735
2,9181,1231,794
72,8177,161
65,60253,10416,88718,76517,45112,498
65,364
2,9801,1121,860
62,3846,491
55,90145,14213,63215,82215,68810,759
45,48234,539
141,475
5,9112,2493,662
135,56413,725
121,75798,45530,66034,60033,19523,302
75,985
2,8851,0681,813
73,1007,273
65,73153,16116,97218,75917,43112,569
65,490
3,0261,1811,849
62,4646,452
56,02645,29313,68815,84115,76410,733
45,72534,747
141,638
6,0132,2963,712
135,62513,829
121,77298,27430,48234,62933,16323,498
76,092
2,9191,0661,851
73,1747,367
65,80753,12416,92118,80317,40012,682
65,545
3,0951,2301,860
62,4516,461
55,96645,15013,56115,82615,76310,816
45,35734,622
142,076
6,0242,2413,769
136,05213,904
122,12098,53030,60634,70733,21723,590
76,272
2,9101,0141,895
73,3637,414
65,92053,19816,98818,82517,38512,722
65,804
3,1141,2271,873
62,6906,491
56,20045,33313,61815,88215,83210,867
45,48634,965
NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
13
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-9. Unemployed persons by age, sex, and marital status, seasonally adjusted
(In thousands)
Age, sex, and marital status2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
AGE AND SEX
Total, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years25 to 34 years35 to 44 years45 to 54 years
55 years and over
Men, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years25 to 34 years35 to 44 years45 to 54 years
55 years and over
Women, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years25 to 34 years35 to 44 years45 to 54 years
MARITAL STATUS
Married men, spouse presentMarried women, spouse present ......
8,184
1,265548722
6,9201,4045,5214,6851,8421,5741,270
847
4,381
645270376
3,737789
2,9482,477
961826690471
3,803
620278346
3,183614
2,5732,209
881748580
1,4831,249
8,018
1,217555677
6,8011,3695,4274,5451,7321,5851,228
856
4,429
660285387
3,768810
2,9532,458
938840680495
3,589
557270290
3,032559
2,4732,087
794745549
1,4231,235
8,005
1,175522651
6,8301,4335,3954,5061,6771,6071,222
859
4,413
652269379
3,761838
2,9232,443
930849664480
3,592
523253271
3,069595
2,4722,064
747758558
1,3861,120
8,066
1,227567665
6,8381,5055,3494,4561,7611,4691,226
887
4,438
701304403
3,736827
2,9092,401
930786685508
3,628
526263262
3,102678
2,4412,055
831683541
1,3931,121
8,020
1,188603585
6,8321,3985,4094,5451,8111,4571,276
869
4,414
681334333
3,733791
2,9192,449
960804686470
3,606
507269252
3,099607
2,4902,096
851654590
1,4321,236
8,047
1,262587674
6,7851,3605,3914,5971,8131,4561,328
825
4,474
741336403
3,733728
2,9692,5311,024
792716438
3,573
522251271
3,051632
2,4222,066
789664613
1,4341,227
7,737
1,150543612
6,5881,4405,1414,3261,6291,4791,217
832
4,212
647302349
3,565819
2,7342,247
829752666487
3,525
502241263
3,023621
2,4072,078
800727552
1,4301,157
7,988
1,235595649
6,7531,5115,2784,4231,6731,5311,218
854
4,410
725352382
3,685907
2,8102,336
896797643474
3,579
510243267
3,068605
2,4682,086
777734575
1,4021,140
7,656
1,212564642
6,4441,3575,0884,2841,7181,3971,169
831
4,224
732336388
3,492770
2,7472,290
914754622458
3,432
480228254
2,952587
2,3411,994
804643547
1,3901,064
7,663
1,271557745
6,3921,3355,0554,1951,6921,3971,106
849
4,104
748321446
3,356754
2,5952,135
895691549460
3,558
523236299
3,036581
2,4602,060
797706557
1,2471,169
7,647
1,293564716
6,3541,3255,0274,2651,6521,4121,200
779
4,062
723310409
3,339733
2,6222,236
874746616386
3,585
570253307
3,015592
2,4052,029
779666584
1,2581,129
7,486
1,178513667
6,3071,3294,9804,2061,6731,3751,158
747
3,971
683295394
3,288758
2,5382,128
823699606410
3,515
496218273
3,019571
2,4422,078
850676552
1,2081,186
7,497
1,158515634
6,3391,2535,1084,2821,6711,3571,255
843
3,927
666306348
3,261708
2,5682,148
820656671420
3,570
492209286
3,078545
2,5402,134
850700584
1,2201,233
NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
14
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-10. Unemployment rates by age, sex, and marital status, seasonally adjusted
(Percent)
Age, sex, and marital status2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
AGE AND SEX
Total, 16 years and over
16 to 19 years16 to 17 years18 to 19 years ..
20 years and over20 to 24 years25 years and over25 to 54 years25 to 34 years35 to 44 years45 to 54 years
55 years and over
Men, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 years and over......................20 to 24 years25 years and over25 to 54 years ........................25 to 34 years ......................35 to 44 years45 to 54 years
55 years and over
Women, 16 years and over ...
16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over25 to 54 years25 to 34 years35 to 44 years45 to 54 years
MARITAL STATUS
Married men, spouse present....Married women, spouse present
5.5
17.620.316.14.99.24.44.65.74.33.83.7
5.5
17.821.215.94.99.74.4
. 4.55.44.23.93.8
5.5
17.519.516.44.98.74.44.76.14.53.6
3.23.5
5.4
17.020.714.94.89.04.34.45.44.43.63.7
5.6
18.121.916.15.0
10.04.44.55.24.33.84.0
5.2
15.919.713.54.77.94.34.45.54.53.4
3.13.5
5.4
.16.619.614.94.99.54.34.45.24.43.63.7
5.6
18.220.616.85.0
10.54.34.45.24.43.83.9
5.2
15.018.612.84.78.44.34.45.24.53.5
3.03.1
5.5
17.220.615.24.99.84.34.45.54.13.63.8
5.6
19.222.117.74.9
10.24.34.45.24.03.94.1
5.3
15-1 ]19.0 |12.5 j4.8 |9.4 i4.2 !4.45.84.1 |3.3 |i
3.03.1
5.4
16.521.213.54.89.24.34.45.64.03.83.7
5.5
18.223.014.84.99.84.34.45.44.13.93.7
5.2
14.619.312.14 78.54.34.45.93.93.6
3.13.4
5.4
17.620.615.44.88.94.34.55.64.03.93.5
5.6
20.324.317.84.99.04.44.65.74.14.03.5
5.2
14.817.212.94.78.94.24.45.54.03.8
3.13.4
5.2
16.319.314.44.79.54.14.25.04.13.63.5
5.3
18.222.016.14.7
10.24.04.14.73.93.73.9
5.1
14.316.812.74.68.74.14.45.54.43.4
3.13.2
5.4
17.520.615.54.8
10.04.24.35.24.23.63.6
5.6
20.425017.74.0
11.34.14.25.04.13.63.7
5.2
14.616.513.24.78.64.24.45.44.43.5
3.03.2
5.2
16.919.415.04.69.04.04.25.33.93.43.5
5.3
19.922.917.54.69.74.04.15.23.93.53.6
5.0
13.715.812.24.58.34.04.25.63.93.4
3.03.0
5.2
17.719.916.94.58.94.04.15.33.93.23.5
5.1
20.422.219.94.49.53.83.95.03.63.03.5
5.2
14.917.513.94.68.24.24.45.54.33.4
2.73.3
5.1
17.920.016.34.58.84.04.25.13.93.53.2
5.1
20.022.518.44.49.23.84.04.93.83.43.0
5.2
15.817.714.24.68.44.14.35.44.03.6
2.73.1
5.0
16.418.315.24.48.83.94.15.23.83.43.1
5.0
19.021.717.54.39.33.73.94.63.63.43.1
5.1
13.815.112.84.68.14.24.45.94.13.4
2.63.3
5.0
16.118.714.44.58.34.04.25.23.83.63.5
4.9
18.623.215.54.38.73.73.94.63.43.73.2
5.1
13.614.513.24.77.74.34.55.94.23.6
2.63.4
NOTE: Beginning in January 2005, data reflect revised population controls used In the household survey.
15
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HOUSEHOLD DATASEASONALLY ADJUSTED
A-11. Unemployed persons by reason for unemployment, seasonally adjusted
(Numbers in thousands)
Reason2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
NUMBER OF UNEMPLOYED
Job losers and persons who completed temporary jobsOn temporary layoff ,Not on temporary layoff
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployedJob losers and persons who completed temporary jobsOn 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 ,
4,2281,0683,160
8962,333
686
100.051.913.138.811.028.6
8.4
2.9.6
1.6.5
3,978971
3,007885
2,440699
100.049.712.137.611.130.5
8.7
2.7.6
1.7.5
4,014919
3,094830
2,417697
100.050.411.638.910.430.48.8
2.7.6
1.6.5
4,074947
3,127829
2,411747
100.050.511.838.810.329.99.3
2.8.6
1.6.5
4,066941
3,124880
2,388723
100.050.511.738.810.929.69.0
2.7.6
1.6.5
4,108965
3,144898
2,361709
100.050.911.938.911.129.2
8.8
2.8.6
1.6.5
4,048966
3,082819
2,324624
100.051.812.439.410.529.7
8.0
2.7.6
1.6.4
3,980965
3,015965
2,405745
100.049.211.937.211.929.7
9.2
2.7.7
1.6.5
3,784961
2,823855
2,364711
100.049.112.536.611.130.6
9.2
2.6.6
1.6.5
3,675838
2,837897
2,356747
100.047.910.937.011.730.79.7
2.5.6
1.6.5
3,646864
2,782942
2,353728
100.047.511.336.312.330.7
9.5
2.4.6
1.6.5
3,680975
2,705844
2,219661
100.049.713.236.511.430.08.9
2.5.6
1.5.4
3,633959
2,674826
2,394628
100.048.612.835.711.032.08.4
2.4.6
1.6.4
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
A-12. Unemployed persons by duration of unemployment, seasonally adjusted
(Numbers in thousands)
Duration2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June July
NUMBER OF UNEMPLOYED
Less than 5 weeks5 to 14 weeks15 weeks and over
15 to 26 weeks27 weeks and over
Average (mean) duration, in weeks
Median duration, in weeks
PERCENT DISTRIBUTION
Total unemployedLess than 5 weeks5 to 14 weeks15 weeks and over
15 to 26 weeks27 weeks and over
2,8032,4582,8851,1981,686
18.58.9
100.034.430.235.414.720.7
2,6052,5212,9241,2431,681
19.29.5
100.032.431.336.315.420.9
2,7962,2512,9711,2271,744
19.69.5
100.034.928.137.115.321.7
2,7532,2903,0321,2611,771
19.79.5
100.034.128.437.515.621.9
2,6112,3613,0121,2941,718
19.89.8
100.032.729.637.716.221.5
2,8652,2642,9611,3251,636
19.39.5
100.035.428.036.616.420.2
2,5992,3432,8241,2011,623
19.39.4
100.033.530.236.415.520.9
2,7552,3172,8881,2551,633
19.19.3
100.034.629.136.315.820.5
2,5312,3192,8171,1651,652
19.59.3
100.033.030.336.715.221.5
2,6662,2682,6981,0831,615
19.68.9
100.034.929.735.414.221.2
2,6992,2622,6671,1331,534
18.89.1
100.035.429.735.014.920.1
2,6662,3422,3501,0411,310
17.19.1
100.036.231.831.914.117.8
2,5712,4302,4371,0471,389
17.69.0
100.034.632.732.814.118.7
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
(Numbers in thousands)
Age, sex, and race
July 2005
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Unemployed
Number
Percentof
laborforce
Not
laborforce
TOTAL
16 years and over16 to 19 years
16 to 17 years.....18 to 19 years
20 to 24 years25to54years
25 to 34 years25to29years30 to 34 years
35 to44 years35 to 39 years40to44years
45 to 54 years45 to 49 years50to 54years ...............
55 to64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 to74 years .................75 years and over ...........
Men
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years25 to 34 years25to 29years30 to 34 years
35 to 44 years35to 39years40to 44years
45 to 54 years45 to 49 years50to 54years
55 to 64 years55 to 59 years60 to64 years
65 years and over65 to 69 years70 to 74 years75 years and over
Women
16 years and over16to19years
16 to 17 years18to19years
20to24years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to44years35to 39years40to 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 over .............65 to 69 years70 to 74 years75 years and over
See footnotes at end of table.
226,15316,3998,5317,868
20,282124,19439,07219,49919,57343,01020,50822,50242,11322,25519,85730,19417,15813,03635,08410,0398,390
16,655
109,1908,3164,3134,004
10,18561,21719,4509,7529,697
21,18110,12311,05720,58610,9109,676
14,5178,2796,238
14,9554,6503,7856,520
116,9638,0824,2183,864
10,09762,97719,6229,7469,876
21,82910,38411,44521,52611,34510,18115,6778,8796,798
20,1295,3894,605
10,134
151,1228,6863,5315,155
15,750102,55832,30716,07916,22935,91717,04018,87734,33518,46515,86918,85412,1316,7235,2722,8891,3141,069
81,4134,3881,7262,6628,483
55,49517,9168,8869,031
19,5059,362
10,14318,0749,6968,379
10,0056,3483,6563,0421,636
772634
69,7094,2981,8052,4947,267
47,06314,3917,1937,198
16,4127,6788,734
16,2608,7707,4908,8505,7833,0672,2301,253
542436
66.853.041.465.577.782.682.782.582.983.583.183.981.583.079.962.470.751.615.028.815.76.4
74.652.840.066.583.390.792.191.193.192.192.591.787.888.986.668.976.758.620.335.220.4
9.7
59.653.242.864.572.074.773.373.872.975.273.976.375.577.373.656.465.145.111.123.211.84.3
143,2837,2602,8284,432
14,48998,26130,63715,16315,47534,55516,40118,15433,06917,76615,30318,18811,6886,5005,0852,7901,2621,032
77,5413,5901,3202,2707,803
53,49817,1438,4428,701
18,8969,0759,822
17,4599,3468,1129,7116,1593,5512,9401,594
740606
65,7423,6701,5082,1626,687
44,76313,4956,7216,774
15,6597,3268,332
15,6108,4207,1908,4785,5292,9492,1451,196
522426
63.444.333.156.371.479.178.477.879.130.380.080.778.579.877.160.268.149.914.527.815.06.2
71.043.230.656.776.687.488.186.689.789.289.688.884.885.783.8(3S.974.456.919.734.319.69.3
56.245.435.7(55.966.271.1(58.869.068.671.770.672.872.574.270.654.162.343.410.722.211.34.2
7,8391,427
703723
1,261
1,670916754
1,362639723
1,266699567666443223188995237
3,871798406392680
1,998774444330608287321615349266294189105102423227
3,967629297332581
2,300897472424753352401650350300372254118865720
9
5.216.419.914.08.04.25.25.74.63.83.83.83.73.83.63.53.73.33.63.43.93.4
4.818.223.514.78.03.64.35.03.73.13.13.23.43.63.22.93.02.93.32.64.14.3
5.714.616.513.3
8.04.96.26.65.94.64.64.64.04.04.04.24.43.83.84.53.72.2
75,0317,7125,0002,7124,532
21,6366,7643,4203,3457,0933,4683,6257,7783,7903,988
11,3405,0266,313
29,8127,1507,076
15,585
27,7783,9282,5871,3421,7025,7221,534
867667
1,676762914
2,5121,2151,2984,5121,9302,582
11,9133,0143,0135,887
47,2543,7842,4131,3712,830
15,9145,2312,5532,6765,4172,7062,7115,2662,5762,6906,8273,0963,731
17,8984,1364,064
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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
July 2005
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Unemployed
Number
Percentof
laborforce
Notin
laborforce
WHITE
16 years and over16 to 19 years16to 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 years18to19years
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
184,49012,6896,5556,134
15,87699,82330,59615,26615,33034,55816,34818,21034,66918,22016,44925,55514,52911,02630,5478,5307,206
14,810
90,0536,4703,3303,1408,060
49,97715,5087,7717,738
17,2898,2099,080
17,1799,0578,123
12,4267,1195,307
13,1204,0073,2655,848
94,4376,2193,2252,9947,816
49,84615,0877,4957,592
17,2698,1399,130
17,4909,1638,326
13,1297,4105,719
17,4274,5243,9418,962
123,4907,1472,9444,203
12,56483,10425,53812,74712,79128,94313,63215,31128,62215,28813,33416,11210,3735,7394,5632,5001,133
929
67,6243,6331,4562,1776,887
45,76414,4407,1727,268
16,0547,6368,418
15,2718,1397,1318,6675,5073,1602,6731,437
667569
55,8663,5141,4882,0265,678
37,33911,0985,5755,524
12,8895,9966,893
13,3527,1496,2037,4454,8672,5781,8901,064
465360
56.344.968.579.183.383.583.583.483.883.484.182.683.981.163.071.452.014.929.315.76.3
75.156.143.769.385.491.693.192.393.992.993.092.788.989.987.869.777.459.520.435.920.4
9.7
59.256.546.167.772.674.973.674.472.874.673.775.576.378.074.556.765.745.110.823.511.84.0
118,0696,1912,4693,722
11,75280,09624,41412,13912,27527,99413,19814,79627,68914,77612,91315,61010,0465,5654,4192,4161,101
901
64,9063,1031,1801,9226,434
44,35213,9046,8777,027
15,6197,4418,179
14,8297,8906,9388,4195,3533,0662,5981,398
650550
53,1633,0891,2891,8005,318
35,74510,5105,2625,24812,3755,7576,61812,8606,8855,9757,1914,6932,4981,8211,018451352
64.048.837.760.774.080.279.879.580.181.080.781.379.981.178.561.169.150.514.528.315.36.1
72.148.035.461.279.888.789.788.590.890.390.690.186.387.185.467.875.257.819.834.919.99.4
56.349.740.060.168.071.769.770.269.171.770.772.573.575.171.854.863.343.710.422.511.53.9
5,421. 956475481812
3,0071,124608516950435515933513421502328174144843228
2,718530275255452
1,4135362952404351962404422491932471549475381819
2,703426200226360
1,595589313276514239275491264228254174806946149
4.413.416.111.46.53.64.44.84.03.33.23.43.33.43.23.13.23.03.23.42.83.0
4.014.618.911.76.63.13.74.13.32.72.62.82.93.12.72.92.83.02.82.72.73.4
4.812.113.411.26.34.35.35.65.04.04.04.03.73.73.73.43.63.13.64.33.02.4
61,0005,5423,6111,9313,31216,7195,0582,5192,5395,6152,7162,8996,0472,9323,1159,4434,1555,28825,9846,0306,07313,881
22,4292,8371,874963
1,1734,2131,069598470
1,235573662
1,909918991
3,7591,6122,14710,4472,5702,5985,279
38,5712,7051,737968
2,13912,5063,9891,9202,0694,3802,1432,2374,1382,0142,1245,6842,5433,141
15,5373,4603,4768,602
See footnotes at end of table.
18
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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
July 2005
Civiliannoninsti-tutional
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Unemployed
Number
Percentof
laborforce
Notin
laborforce
BLACK OR AFRICAN AMERICAN
16 years and over ...;.16 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 years40to 44 years
45 to 54 years :45to49years ,.50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to69 years70 to 74 years75 years and over ........
Men
16 years and over ,16to19years16 to 17 years18to19years
20to24years25to54years
25 to 34 years25to 29 years30 to 34 years
35 to 44 years35to 39years40 to 44 years
45 to 54 years45 to 49 years50to54years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years.70 to 74 years75 years and over
Women
16 years and over16 to 19 years
16 to 17 years ,18 to 19 years
20 to 24 years25to54years25 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
26,5262,4811,2981,1832,836
15,2525,0782,5912,4865,3082,5472,7614,8662,6462,2202,9841,6801,3032,974
960798
1,216
11,8871,223
649574
1,3426,8532,2791,1761,1032,3701,1311,2392,2031,2011,0021,322
737585
1,148396346405
14,6391,258
649608
1,4948,3992,7991,4151,3842,9381,4161,5222,6631,4451,2181,662
943719
1,826564452810
17,4411,034
378656
2,06412,2284,1372,0742,0644,4172,1282,2893,6732,0521,6211,6731,076
59744323412287
8,298497175322
1,0065,7871,9921,002
9912,0521,0131,0391,743
9727717914972932171056943
9,143536203333
1,0586,4412,1451,0721,0732,3661,1161,2501,9301,080
8508835793042251285344
65.841.729.155.472.880.281.580.083.083.283.682.975.577.673.056.164.145.814.924.415.37.1
69.840.626.956.175.084.487.485.189.886.689.583.979.180.976.959.867.550.118.926.619.910.6
62.542.631.354.870.876.776.675.777.680.578.882.172.574.769.853.161.442.312.322.811.75.4
15,655657204453
1,72111,2903,7391,8461,8934,1011,9732,1293,4501,9251,5251,5781,002
57640822410579
7,44128573
212849
5,3521,817
894924
1,914939975
1,6208957257584722861971035836
8,214372131241871
5,9391,921
952969
2,1871,0331,1541,8301,030
8008215302902111214743
59.026.515.738.360.774.073.671.276.177.377.477.170.972.868.752.959.644.213.723.413.16.5
62.623.311.237.063.378.179.776.083.880.783.078.773.574.572.457.364.049.017.126.016.78.8
56.129.620.239.658.370.763.667.370.074.573.075.868.771.365.749.456.240.411.621.510.45.3
1,786376174202343937399228171316156160223127969574213510178
85721210211015743517510867
1387364
123774633267
212
117
1(347292
1865022241201041783296
100505062481414761
10.236.445.930.916.67.79.6
11.08.37.27.37.06.16.25.95.76.93.47.84.1
14.19.1
10.342.658.234.115.67.58.8
10.86.86.77.26.27.07.95.94.15.22.49.52.2
10.230.635.427.817.67.8
10.411.29.77.57.47.75.24.65.97.08.44.56.25.6
9,0851,448
920527772
3,024941518423891419472
1,193594599
1,310604706
2,531726676
1,129
3,589726474252335
1,066287175112319119200460229231531240291930291277362
5,497722446275437
1,958654343311572300272733365368779364415
1,601435399766
See footnotes at end of table.
19
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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
July 2005
Civiliannoninsti-tutionai
population
Civilian labor force
TotalPercent
ofpopulation
Employed
TotalPercent
ofpopulation
Unemployed
Number
Percentof
laborforce
Notin
laborforce
ASIAN
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years25 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
9,812626320306871
6,0882,2781,0731,2052,0781,0611,0161,733
927806
1,111626485
1,116389
6,58321577
139579
4,8321,748
821928
1,692832860
1,3917716207584722851991233937
67.134.423.945.366.579.476.876.577.081.478.484.680.383.277.068.275.558.917.931.715.17.9
6,24417850
128522
4,6501,686
786900
1,646813832
1,3197355846974372601961203937
63.628.415.542.059.976.474.073.374.779.276.681.976.179.372,562.869.953.717.630.915.17.9
34037271058
181633528461927723636603525
33
5.217.335.3
7.410.03.83.64.23.02.72.33.25.24.75.88.07.48.81.52.4
3,229411244167292
1,256530252277385229156341156186353153200917266220431
1 Data not shown where base is less than 75,000.NOTE: Estimates for the above race groups do not sum to totals because data are not presented for all races. Beginning in January 2005, data reflect revised population controls
used in the household survey. Dash indicates no data or data that do not meet publication criteria.
20
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-14. Employment status of the Hispanic or Latino population by age and sex
(Numbers in thousands)
Age and sex
July 2005
Civiliannoninsti-tutionai
population
29,1682,6911,3711,3203,645
18,2277,6933,9603,7346,3023,3342,9674,2332,3981,8342,3671.402
9652,239
729600910
14,9811,377
726651
1,9539,5694,1612,1701,9903,2891,7571.5322,1191,214
9051,125
662463956347260349
14,1881.314
645669
1,6918,6583,5321,7891,7433,0121,5771,4352,1141,185
9291,242
740502
1,283382339561
Civilian labor force
Total
19,9211,155
403752
2,644 i14,4996,0613,0642,9975,1452,7282,4173,2931,9271,3661.346
9024432771885138
12,042657223434
1,6778,7803,8641,9901,8743,0461,6541,3921,8701,093
777754479275174123
3220
7,880499180318968
5,7192,1971,0741,1232,0991,0741,0251,423
834589592423168103651919
Percentof
population
68.342.929.457.072.679.578.877.480.381.781.881.577.880.374.556.864.445.912.425.8
8.54.2
80.447.730.766.685.891.892.991.794.192.694.290.888.290.185.867.072.359.418.235.612.15.6
55.537.928.047.657.266.162.260.064.469.768.171.567.370.463.547.657.233.58.0
16.95.63.3
Employed
Total
18,816970310660
2,45813,8355,7602,9092,8514,9232,6202,3033,1531,8601,2931,288
8614272661775138
11,525550171379
1,5808,5053,7321,9121,8202.9661,6081,3591.8061,056
7517284612681631123220
7,292420140281878
5,3312,028
9981,0301,9561.012
9441,347
604542560400160103651919
Percentof
population
64.536.022.650.067.475.974.973.576.378.178.677.674.577.570.554.461.444.311.924.2
8.54.2
76.939.923.558.280.988.989.788.191.490.291.588.785.287.082.964.769.657.817.032.212.15.6
51.432.021.642.051.961.657.455.859.164.964.265.863.767.958.445.154.131.8
8.016.9
5.63.3
Unemployed
Number
1,1051859392
18666430115514622310911414067735842161212
517107525597
275132795480473364372626187
1212
-
58878413889
3891697792
14362817730473223
9---
Percentof
laborforce
5.516.023.112.37.04.65.05.14.94.34.04.74.33.55.44.34.63.64.26.1
-
4.316.323.412.65.83.13.43.92.92.62.82.43.43.43.43.43.92.76.69.4
-
7.515.722.611.89.26.87.77.18.26.85.87.95.43.68.05.45.55.2
---
Notin
laborforce
9,2471,535
968568
1,0003,7281,632
895737
1,156606550940472468
1,022500522
1,962541549872
2,939720503217277789297180117243103141249121129371183188782223229329
6,308815465351724
2,9391.336
715620913503410690351339650317334
1,180318320542
HISPANIC OR LATINO ETHNICITY
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25to54years
25 to 34 years25 to 29 years30 to 34 years....
35 to 44 years35 to 39 years40 to 44 years
45 to 54 years ....45to 49years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years.....70 to 74 years75 years and over
Men
16 years and over16 to 19 years16 to 17 years18to19years
20 to24 years25 to 54 years
25 to 34 years25 to 29 years30 to 34 years
35 to 44 years35 to 39 years40to 44 years
45 to 54 years45 to 49 years....50 to 54 years
55to64years55 to59 years60 to 64 years.
65 years and over65 to 69 years70 to 74 years75 years and over
Women
16 years and o^er16 to 19 years
16 to 17 years18 to 19 years
20 to24 years25 to 54 years25 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
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any mc&. Beginning in January 2005, data reflect revised population controls used in the householdsurvey. Dash indicates no data or data that do not meet publication criteria.
21
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-15. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic or Latiino ethnicity
(Numbers in thousands)
Employment status, race,and Hispanic or Latino
ethnicity
Tntal1 UlCli
July2004
223,422149,217
66.8
140,7008,518
5.774,204
182,676122,413
67.0
116,487
5,9264.8
60,263
26,07817,011
65.214,9642,04712.0
9,067
9,559
6,27565.6
6,008
2674.3
3,284
28,15019,552
69.518,203
1,349
6.98,598
July2005
226,153151,122
66.8
143,283
7,839
5.275,031
184,490123,490
66.9
118,0695,4214.4
61,000
26,526
17,44165.8
15,6551,786
10.29,085
9,8126,58367.1
6,244
3405.2
3,229
29,16819,921
68.318,8161,1055.5
9,247
Men, 20 years andover
July2004
99,51275,876
76.2
72,3623,514
4.623,636
82,63663,389
76.760,9132,4763.9
19,247
10,4677,424
70.9
6,63479110.6
3,043
4,223
3,307
78.3
3,175
1314.0916
13,10211,124
84.910,5725535.0
1,978
July2005
100,874
77,02476.4
73,951
3,073
4.023,849
83,58363,991
76.661,8032,1883.4
19,591
10,664
7,801
73.27,156
6468.3
2,862
4,342
3,46779.8
3,328
1384.0875
13,60411,385
83.710,975
4103.6
2,219
Women, 20 years andover
July2004
107,68764,642
60.0
61,2243,418
5.343,045
87,44451,833
59.349,456
2,3774.6
35,611
13,188
8,573
65.07,727
8469.9
4,615
4,697
2,757
58.7
2,655
1023.7
1,940
12,4377,25358.3
6,736
5177.1
5,184
July2005
108,88065,411
60.162,0723,3395.1
43,470
88,21852,352
59.350,0752,2774.3
35,866
13,3818,60664.3
7,8427648.9
4,775
4,8442,90259.9
2,7371645.7
1,942
12,8747,38157.3
6,8715106.9
5,493
Both sexes, 16 to 19years
July2004
16,2228,69953.6
7,1141,585
18.2
7,523
12,597
7,19157.1
6,118
1,07414.9
5,405
2,42311,013
41.8
60341140.51,410
63921233.1
17833
15.8
427
2,6101,17545.0
89628023.81,435
July2005
16,3998,68653.0
7,260
1,42716.4
7,712
12,689
7,14756.3
6,191
95613.4
5,542
2,4811,034
41.7
65737636.41,448
62621534.4
17837
17.3
411
2,6911,15542.9
97018516.0
1,535
TOTAL
Civilian noninstitutional population ....Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
White
Civilian noninstitutional population ....Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rate
Not in labor force
Black or African American
Civilian noninstitutional population ....Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
Asian
Civilian noninstitutional population ....Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rate .....Not in laborforce
Hispanic or Latino ethnicity
Civilian noninstitutional population ....Civilian laborforce
Percent of populationEmployedUnemployed
Unemployment rateNot in laborforce
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition,persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2005,data reflect revised population controls used in the household survey.
22
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educationalattainment, sex, race, and Hispanic or Latino ethnicity
(Numbers in thousands)
Enrollment status, educationalattainment, race, and
Hispanic or Latino ethnicity
July 2005
Civiliannoninsti-tutionalpopula-
tion
10.1905,9934,197
5,0955.095
4.2215,9684.7031.265
7,6014,4583.143
3.8473,754
3,0734,5283,560
968
1,6191,032
587
787832
805814653161
630305326
289341
179451370
81
1,527996530
746780
786740585155
Civilian labor force
Total
5,0342,3952.639
2,3792.655
1,3003,7342,739
994
4,0131,9582,055
1,9252,087
1,0742,9382,163
776
620292328
248372
156464342122
25081
169
124126
2822216656
604289314
286318
204400295105
Percent of
pr!a-
49.440.062.9
46.752.1
30.862.658.278.6
52.843.965.4
50.055.6
35.064.960.780.2
38.328.355.9
31.544.7
19.457.052.475.9
39.726.751.9
42.937.0
15.749.244.969.2
39.629.159.3
38.340.7
25.954.150.567.5
Employed
Total
4,5272,0632,465
2,1112.417
1,0503,4772,539
938
3.7201,7591,961
1,7671,953
9162,8042,061
743
462187275
172290
84377273105
21767
149
96120
2119614452
534246288
259274
164369268102
Fulltime
1,922653
1,270
1,026896
2701,6521,148
504
1,564547
1,017
875689
2381.326
928398
19967
132
67132
1918013050
84\767
3548
2825725
22377
146
13786
5516911554
Parttime
2,6051,4101,195
1,0851,521
7801,8251,391
433
2,1561.212
944
8931,264
6781,4781,133
345
263120142
105158
6519714354
1335082
6172
191148826
311169142
122188
11020115348
Unemployed
Total
507332174
268238
25025720057
29319993
158135
15813410233
15810454
7682
72876918
341420
286
82621
5
704327
2743
393128
3
Lookingfor
full-timework
218115104
96122
9012810919
1024854
4161
43604613
855233
3550
3649445
199
10
163
61312
1
392019
1722
2018153
Lookingfor
part-timework
288218
71
172116
1591299138
19015139
11774
115755619
735221
4132
35382512
155
10
123
21394
3124
8
1021
191212
Percentof
laborforce
10.113.96.6
11.39.0
19.26.97.35.7
7.310.24.5
8.26.4
14.74.64.74.2
25.535.816.3
30.622.1
45.918.720.214.3
13.517.111.7
22.54.6
( 1 )1.1.713.0
( 1 )
11.615.08.5
9.313.7
19.27.79.42.9
TOTAL ENROLLED
Total, 16 to 24 years .-.16 to 19 years .'.20 to 24 years
MenWomen
High schoolCollegeFull-time studentsPart-time students .,
White
Total, 16 to 24 years16 to 19 years20 to 24 years
MenWomen
High schoolCollegeFull-time studentsPart-time students
Black or African American
Total, 16 to 24years16 to 19 years20 to 24 years
Men. .Women
High schoolCollege
Full-time studentsPart-time students
Asian
Total, 16 to 24 years16to19years20 to 24 years ,
Men. . . .Women
High schoolCollegeFull-time studentsPart-time students
Hispanic or Latino ethnicity
Total, 16 to 24 years16to19years20 to24years
MenWomen
High schoolCollege
Full-time studentsPart-time students
See footnotes at end of table.
23
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educationalattainment, sex, race, and Hispanic or Latino ethnicity—Continued
(Numbers in thousands)
Enrollment status, educationalattainment, race, and
Hispanic or Latino ethnicity
July 2005
Civiliannoninsti-tutionalpopula-
tion
Civilian labor force
TotalPercent of
Employed
Total Fulltime
Parttime Total
Unemployed
Lookingfor
full-timework
Lookingfor
part-timework
Percentof
laborforce
TOTAL NOT ENROLLED
Total, 16to24years16 to 19 years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no college 2 ....Some college or associate degreeBachelor's degree and higher 3
White
Total, 16 to 24 years16to 19years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no college 2Some college or associate degreeBachelor's degree and higher 3
Black or African American
Total, 16 to 24 years16 to 19 years ,20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no college 2 .....Some college or associate degreeBachelor's degree and higher 3
Asian
Total, 16 to 24 years16to 19years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no college 2Some college or associate degreeBachelor's degree and higher 3
Hispanic or Latino ethnicity
Total, 16 to 24 years16to 19years20 to 24 years
MenWomen
Less than a high school diplomaHigh school graduates, no college 2Some college or associate degreeBachelor's degree and higher 3
26,49110,40616,085
13,40613,085
8,6578,8576,8262,151
20,9648,231
12,733
10,68310,282
7,0205,4651,786
3,6981,4502,248
1,7781,920
1,3891,285
857168
867321546
460406
230236255146
1,6943,115
2,5842,225
2,3291,606
732141
19,4036,291
13,111
10,4928,911
4,8386,8805,7281,957
15,6995,189
10,510
8,5947,104
3,8585,5294,6891,623
2,477742
1,736
1,2561,222
708960651158
544134410
296249
85160173126
3,196866
2,330
2,0471,148
1,3601,157559119
73.260.581.5
78.368.1
55.977.783.991.0
74.963.082.5
80.5
57.678.885.890.9
67.051.277.2
70.663.6
51.074.776.094.4
62.841.775.2
64.261.2
37.067.768.186.4
66.551.174.8
79.251.6
58.472.176.384.4
17,2225,19712,025
9,2827,940
3,9556,0525,4171,797
14,2244,4339,791
7,7706,454
3,2804,9554,4861,503
1,916470
1,446
963953
458747569141
483110372
253230
68153156106
2,894724
2,170
1,8701,024
1,1961,056532110
11,9782,349
7,0824,896
2,1104,4483,9091,511
9,9092,0277,882
5,9833,926
1,7773,6543,2101,269
1,350229
1,121
652
247552438113
31522
293
179136
1910210392
2,212414
1,798
1,549663
912845373
83
5,2442,8482,396
2,2003,044
1,8451,6041,508
287
4,3152,4061,909
1,7872,528
1,5041,3001,276
234
566241325
265301
21119513128
1688880
7494
49515315
682309372
321361
28421115928
2,1811,0941,087
1,210971
883828311159
1,475756719
824651
577574203120
561272290
293268
249213
8217
612338
4219
•177
1720
302142160
178124
165102269
1,698696
1,003
981717
577742228152
1,132457675
470
349510156117
459196262
246213
1921945717
399
30
309
67
1016
253103151
151102
1279324
9
48339984
229254
3068683
8
343299
44
162180
22864474
1037527
4756
581925
22143
1210
11
74
48399
2722
3883
11.217.48.3
11.510.9
18.212.05.48.2
9.414.66.8
9.69.2
15.010.44.37.4
22.736.616.7
23.322.0
35.222.212.610.7
11.317.59.3
14.37.7
20.24.4
10.015.7
9.416.46.9
8.710.8
12.18.84.77.4
1 Data not shown where base is less than 75,000.2 Includes persons with a high school diploma or equivalent.3 Includes persons with a bachelor's, master's, professional, and doctoral degrees.NOTE: In the summer months, the educational attainment levels of youth not
enrolled in school are increased by the temporary movement of high school and collegestudents into that group. Estimates for the above race groups (white, black or African
American, and Asian) do not sum to totals because data are not presented for all races.In addition, persons whose ethnicity is identified as Hispanic or Latino may be of anyrace and, therefore, are classified by ethnicity as well as by race. Beginning in January2005, data reflect revised population controls used in the household survey. Dashindicates no data or data that do not meet publication criteria.
24
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-17. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, sex, race, and Hispanic orLatino ethnicity
(Numbers in thousands)
Sex, race, and Hispanicor Latino ethnicity
Less than ahigh school
diploma
July2004
July2005
High schoolgraduates,no college1
July2004
July2005
Some college or associate degree
Total
July2004
July2005
Some college,no degree
July2004
July2005
Associate
July2004
July2005
Bachelor'sdegree n
and higher2
July2004
July2005
TOTAL
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Men
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Women
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
White
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Black or African American
Civilian labor forcePercent of population
EmployedEmployment-population ratio........
UnemployedUnemployment rate .„...
Asian
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
Hispanic or Latino ethnicity
Civilian labor forcePercent of population
EmployedEmployment-population ratio
UnemployedUnemployment rate
12,09044.8
11,16141.39297.7
7,68658.0
7,19654.34906.4
4,40432.0
3,96528.843910.0
9,84845.9
9,23643.06126.2
1,47938.4
1,21431.526517.9
44943.042540.7
245.4
5,37161.8
5,00557.63656.8
12,86146.4
11,94843.19137.1
8,16459.8
7,74856.84165.1
4,69733.4
4,20029.949710.6
10,44047.6
9,79944.76416.1
1,58339.8
1,38434.8199
12.6
49545.846142.7
336.7
37,81063.0
35,94059.9
1,8714.9
20,79873.9
19,83370.59654.6
17,01353.4
16,10750.59065.3
30,83362.1
29,54959.5
1,2834.2
5,01467.5
4,51660.84989.9
1,08363.6
1,04161.1
423.8
5,90762.35,56058.63465.9
4,67174.9
4,43971.22325.0
37,50262.9
35,70859.8
1,7944.8
20,68773.(5
19,82470.48634.2
16,81553.4
15,88550.49315.15
30,45861.8
29,19959.3
1,2594.1
5,10368.6
4,69163.14128.1
1,06664.2!
1,00460.5
615.7
4,68473.7
4,47270.32124.5
34,99972.4
33,46869.2
1,5314.4
17,29979.2
16,58475.97154.1
17,70066.7
16,88463.78164.6
28,65771.9
27,55969.1
1,0983.8
4,34275.1
4,01269.43307.6
1,04372.3988
68.555
5.3
3,19879.0
3,03575.01635.1
35,32872.1
33,95769.3
1,3723.9
17,66379.4
17,05376.76103.5
17,66566.1
16,90363.27624.3
28,94471.5
27,97369.19713.4
4,43676.1
4,12070.73167.1
1,03373.0999
70.634
3.3
3,31377.6
3,19074.71223.7
22,38570.2
21,38167.1
1,0044.5
11,42577.4
10,94974.24764.2
10,96064.0
10,43260.95284.8
18,19769.6
17,50566.96923.8
2,95373.6
2,71367.62398.1
58069.7544
65.337
6.3
2,19678.8
2,07474.51225.5
22,50769.8
21,55866.99494.2
11,57977.8
11,16775.04123.6
10,92863.0
10,39159.95374.9
18,25169.1
17,59566.66553.6
3,08174.4
2,84168.72397.8
57769.2554
66.324
4.1
2,29477.4
2,20874.5
863.8
12,61476.5
12,08773.35274.2
5,87482.9
5,63579.52394.1
6,74071.7
6,45268.72884.3
10,46076.2
10,05473.24063.9
1,38978.5
1,29873.4
916.5
46375.9445
72.918
3.9
1,00279.4961
76.241
4.1
12,82176.6
12,39974.04233.3
6,08482.8
5,88680.21983.3
6,73771.7
6,51369.32253.3
10,69375.9
10,37873.73152.9
1,35580.3
1,27975.8
775.6
45678.544576.6
112.4
1,01978.0983
75.3363.5
39,85377.2
38,68475.0
1,1692.9
21,63682.7
21,05680.55802.7
18,21771.6
17,62869.35893.2
33,21676.8
32,29574.79222.8
3,14883.4
2,99779.41504.8
2,91475.4
2,83573.3
782.7
2,38682.2
2,29579.1
913.8
40,99477.2
39,92175.2
1,0732.6
22,02882.7
21,52380.85052.3
18,96671.7
18,39869.55683.0
33,93676.7
33,15475.07832.3
3,22281.2
3,08277.61394.3
3,19676.8
3,08074.01163.6
2,21881.4
2,16579.5
522.4
1 Includes persons with a high school diploma or equivalent.2 Includes persons with a bachelor's, master's, professional, and doctoral
egrees.NOTE: Estimates for the above race groups (white, black or African American,
and Asian) do not sum to totals because data are not presented for all races. Inaddition, persons whose ethnicity is identified as Hispanic or Latino may be of anyrace and, therefore, are classified by ethnicity as well as by race. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
25
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-18. Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnicity
(In thousands)
Age, sex, race, and Hispanicor Latino ethnicity
July 2005
Employed 1
Full-time workers
Total
119.4093,002
6752,327
116,40810,898
105,51087,57717,933
69,8331,762
68,0706,346
61,72551,19110,533
49,5771,240
48,3374,552
43,78536,3857,400
58,4881,566
56,9225,292
51,63042,520
9,110
39,3381,008
38.3293,607
34,72328,536
6,186
6,673114
6,559651
5,9085,074
834
6,823182
6,641603
6,0385,238
801
At work
35hours
ormore
101,3152,499
5281,971
98,8159,562
89,25374,63914,614
61,2341,492
59,7415,666
54,07545,1508,925
40,0811,007
39,0743,896
35,17829,489
5.689
51,1031,327
49,7774,748
45,02937,3337.695
31,418829
30,5903,065
27,52522,7854,739
5,91299
5,813574
5,2394,518
721
5,716138
5,578539
5,0394,429
610
1 to 34hours foreconomic
ornoneconomic
reasons
10,006372108264
9,6351,0058,6306,9191,711
5,283215
5,069549
4,5203,594
925
4,723157
4,566456
4,1103,324
786
4,478188
4,290443
3,8463,032
815
3,859118
3,742377
3,3652,709
655
49212
48153
42837058
59333
55947
512426
86
Notat
work
8,0891313992
7,958332
7,6266,0191,608
3,31555
3,260131
3,1292,447
683
4,77376
4,698201
4,4973,572
925
2,90651
2,855101
2,7552,155
600
4,06062
3,998165
3,8333,042
792
2693
26524
24218655
51410
50417
487383105
Part-time workers
Total
23,8744,2582,1532,105
19,6153,591
16,02410,6845,340
7,7091,8285,8811,4574,4242,3062,118
16,1652,430
13,7352,134
11,6008,3783.222
6,4181,5374,8811,1423,7391,8321,908
13,8252,080
11,7451,711
10,0347,2082,826
768171597199398277120
1,391190
1,201268932701231
At work2
Part time foreconomicreasons
3,088483177305
2,605713
1,8921,584
308
1,356229
1,127351776641135
1,732254
1,478362
1,116942174
1,045159886262623515109
1,258204
1,054257796671125
21352
16159
1028616
34526
31980
239211
28
Part timefor
noneconomicreasons
18,3693,5341,8321,702
14,8352,699
12,1367,7854,351
5,8111,5094,3021,0483,2541,5191,735
12,5582,025
10,5331,6508,8836,2662,616
4,8971,3043,593
8312,7631,1881,574
10,8611,7319,1301,3497,7815,4672,314
52411441114027118289
947162785186599427172
Notat
work
2,41724214498
2,176179
1,9961,315
681
54391
45257
394146248
1,875151
1,724122
1,6021,169
433
47674
40249
353129224
1,707145
1,562105
1,4571,069
387
305
25-
251015
982
973
946331
Unemployed
Lookingfor
full-timework
6,405810280530
5,5951,1064,4893,816
673
3,326460
2,866616
2,2491,917
333
3,079350
2,729490
2,2391,900
340
2,337283
2,054420
1,6341,362
272
2,027222
1,805309
1,4961,264
232
73414359113845341142
782106676157519462
57
Lookingfor
part-timework
1,434616423193817155662481181
545337207
641448163
88927961091
519401118
38124713432
1025151
675204472
50421330
91
124695519362511
146598829584019
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 over25 to 54 years55 years and over
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years20 years and over20 to 24 years25 years and over
25 to 54 years
55 years and over
White
Men, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and overWomen, 16 years and over
16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Black or African American
Men, 16 years and over ,16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
See footnotes at end of table.
26
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-18. Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnicity—Continued
(In thousands)
Age, sex, race, and Hispanicor Latino ethnicity
July 2005
Employed'
Full-time workers
Total
At work
35hours
ormore
1to34hours 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
Asian
Men, 16 years and over ,...,16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Women, 16 years and over16 to 19 years '..20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Hispanic or Latino ethnicity
Men, 16 years and over16 to 19 years20 years and over20 to 24 years25 years and over25 to 54 years55 years and over
Women, 16 years and over ..........16 to 19 years20 years and over20 to 24 years25 years and over25 to 54 years55 years and over
3,08431
3,053184
2,8702,445425
2,2498
2,240176
2,0651,775289
10,642327
10,3161,3608,9568,160796
5,530165
5,365584
4,7814,306475
2,84723
2,824156
2,6682,291377
2,0097
2,002157
1,8451,593253
9,455300
9,1551,1817,9747,274700
4,652140
4,512501
4,0123,631381
1567
14927
1229130
1402
1391012910523
8502382716066760760
47117
4557438134833
821
801
806218
100
1009917713
3374
3341831527936
4069
3989
38932761
336612757420113566
5757849788409295114
88322366022044034595
1,761255
1,506294
1,2121,025188
516451332257
7016549
452520
295322638118216220
321402814823221517
267492185716110655
463624017432824286
528167361139223157
1,271211
1,060216844691153
186
124843
42
425
3629
8
592436
3526
1704
16630
136118
17
14012
12733948213
1435
1387
1318744
46674
39394
299261
37
47949
43076
35532629
25141111
326
27•7
20136
5133173
1414
1093079146662
3
1 Employed persons are classified as full- or part-time workers based on theirusual weekly hours at all jobs regardless of the number of hours they were atwork during the reference week. Persons absent from work also are classifiedaccording to their usual status.
2 Includes some persons at work 35 hours or more classified by their reasonfor working part time.
NOTE: Estimates for the above race groups (white, black or African American,and Asian) do not sum to totals because data are not presented for all races. Inaddition, persons whose ethnicity is identified as Hispanic or Latino may be ofany race and, therefore, are classified by ethnicity as well as by race. Beginningin January 2005, data reflect revised population controls used in the householdsurvey. Dash indicates no data or data that do not meet publication criteria.
27
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-19. Employed persons by occupation, sex, and age
(in thousands)
Occupation
Total
16 yearsand over
July2004
July2005
Men
16 yearsand over
July2004
July2005
20 yearsand over
July2004
July2005
Women
16 yearsand over
July2004
July2005
20 yearsand over
July2004
July2005
Total
Management, professional, and related occupationsManagement, business, and financial operations occupations
Management occupationsBusiness and financial operations occupations
Professional and related occupationsComputer and mathematical occupationsArchitecture and engineering occupationsLife, physical, and social science occupationsCommunity and social services occupationsLegal occupationsEducation, training, and library occupationsArts, design, entertainment, sports, and media occupations .Healthcare practitioner and technical occupations
Service occupationsHealthcare support occupationsProtective service occupationsFood preparation and serving related occupationsBuilding and grounds cleaning and maintenance occupationsPersonal care and service occupations
Sales and office occupationsSales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ...Production occupationsTransportation and material moving occupations
140,700
47,76320,08114,4605,621
27,6823,1082,8371,4012,2031,5537,1302,7176,732
23,7302,9632,8167,4895,7244,738
35,94616,26419,682
15,1211,0798,9585,084
18,1409,6478,493
143,283
48,77120,37114,6645,707
28,4003,1422,8071,5562,2091,6507,2482,7547,034
24,1823,0862,9967,4045,8124,884
36,42116,72819,694
15,7731,1859,4785,111
18,1369,2368,901
76,041
24,01211,7009,2112,489
12,3112,3022,422
760822796
1,9491,4791,781
10,476328
2,1883,3573,5251,078
13,0608,1694,891
14,437851
8,7394,848
14,0566,7157,341
77,541
24,24011,7179,1782,539
12,5222,3112,423
896809848
1,9471,4321,856
10,441333
2,3233,1533,5361,096
13,6668,5305,135
15,018922
9,2184,878
14,1776,4687,709
72,362
23,84511,6669,1842,483
12,1792,2892,413
748815794
1.9141,4431,763
9,109305
2,0872,5593,239
919
12,2207,6954,526
13,794744
8,3434,707
13,3936,5296,865
73,951
24,07611,6759,1442,531
12,4012,2892,417
889799845
1,9261,3911,845
9,155315
2,2182,4553,209
959
12,7618,0114,751
14,457830
8,8684,759
13,5026,2777,225
64,659
23,7518,3815,2483,132
15,370806416641
1,382757
5,1811,2384,951
13,2542,635
6294,1312,1993,660
22,8868,095
14,791
684229219236
4,0842,9331,152
65,742
24,5318,6545,4863,168
15,877832384660
1,399802
5,3011,3225,178
13,7412,753
6734,2512,2763,788
22,7568,197
14,558
755263260232
3,9592,7671,192
61,224
23,5348,3615,2333,128
15,173805413635
1,374753
5,0971,1844,913
11,7522,564
5353,2492,1023,302
21,3827,128
14,254
623190197236
3,9332,8501,083
62,072
24,2428,6235,4593,164
15,619830376651
1,377802
5,1981,2425,143
12,1552,673
5713,3322,1793,400
21,1747,173
14,001
707227251229
3,7942,6741,120
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
28
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex
(Percent distribution)
Occupation, race, and Hispanic or Latino ethnicity
Total
July2004
July2005
Men
July2004
July2005
Women
July2004
July2005
TOTAL
Total, 16 years and over (thousands)Percent
Management, professional, and related occupationsManagement, business, and financial operations occupationsProfessional and related occupations
Service occupationsSales and office occupations
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsinstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ....Production occupationsTransportation and material moving occupations
White
Total, 16 years and over (thousands)Percent
Management, professional, and related occupationsManagement, business, and financial operations occupationsProfessional and related occupations
Service occupations ....Sales and office occupations ,
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ....Production occupationsTransportation and material moving occupations
Black or African American
Total, 16 years and over (thousands)Percent
Management, professional, and related occupations .Management, business, and financial operations occupationsProfessional and related occupations
Service occupationsSales and office occupations
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ....Production occupationsTransportation and material moving occupations
140,700100.0
33.914.319.716.925.511.614.010.7
.86.43.6
12.96.96.0
116,487100.0
34.715.019.715.925.511.813.711.4
.86.93.7
12.56.75.8
14,964100.0
26.69.7
16.923.426.610.016.57.1
.33.63.2
16.57.78.8
143,283100.0
34.014.219.816.925.411.713.711.0
.86.63.6
12.76.46.2
118,069100.0
34.814.919.915.825.311.813.511.7
.97.13.7
12.36.36.0
15,655100.0
25.69.7
15.924.326.210.415.87.4
.54.32.6
16.57.19.5
76,041100.0
31.615.416.213.817.210.76.4
19.01.1
11.56.4
18.58.89.7
64,110100.0
32.416.316.013.017.011.05.9
19.91.2
12.26.5
17.88.69.2
6,917100.0
21.28.8
12.419.018.68.4
10.214.3
.57.56.3
26.910.716.2
77,541100.0
31.315.116.113.517.611.06.6
19.41.2
11.96.3
18.38.39.9
64,906100.0
32.016.016.012.517.311.26.1
20.41.3
12.66.5
17.88.39.4
7,441100.0
20.18.3
11.920.518.58.69.9
14.7.7
8.95.1
26.29.2
17.1
64,659100.0
36.713.023.820.535.412.522.9
1.1.4.3.4
6.34.51.8
52,377100.0
37.413.424.119.536.012.723.3
1.1.4.4.3
6.04.31.7
8,046100.0
31.210.420.727.133.411.422.0
.9
.1
.2
.67.55.02.4
65,742100.0
37.313.224.220.934.612.522.1
1.1.4.4.4
6.04.21.8
53,163100.0
38.213.524.719.835.112.522.6
1.2.4.5.3
5.73.91.7
8,214100.0
30.510.919.627.733.212.121.1
.8
.3
.1
.47.75.22.6
See footnotes at end of table.
29
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex—Continued
(Percent distribution)
Occupation, race, and Hispanic or Latino ethnicity
Total
July2004
July2005
Men
July2004
July2005
Women
July2004
July2005
Asian
Total, 16 years and over (thousands)Percent
Management, professional, and related occupationsManagement, business, and financial operations occupationsProfessional and related occupations
Service occupationsSales and office occupations
Sales and related occupations ..Office and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations....Production occupationsTransportation and material moving occupations
Hispanic or Latino ethnicity
Total, 16 years and over (thousands)Percent
Management, professional, and related occupationsManagement, business, and financial operations occupationsProfessional and related occupations
Service occupationsSales and office occupations
Sales and related occupations ,Office and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ....Production occupationsTransportation and material moving occupations
6,008100.0
42.613.828.817.223.711.212.55.0
.32.02.6
11.48.23.2
18,203100.0
17.77.6
10.024.121.09.4
11.718.12.2
11.94.0
19.110.98.2
6,244100.0
44.714.829.916.724.912.912.04.6
.31.92.59.16.42.6
18,816100.0
16.26.99.3
23.921.5
9.412.119.62.5
13.43.7
18.810.18.7
3,268100.0
43.713.730.015.618.810.88.08.6
.33.64.7
13.38.34.9
11,090100.0
14.17.27.0
19.714.27.96.3
28.32.9
19.26.2
23.712.111.5
3,420100.0
45.914.731.214.421.113.18.07.7
.23.34.2
10.86.74.1
11,525100.0
12.76.46.3
19.314.57.37.2
30.63.4
21.45.7
23.010.912.1
2,740100.0
41.414.027.519.029.611.817.8
.6
.4
.1
.19.38.01.2
7,113100.0
23.18.3
14.830.831.711.720.1
2.31.2.5.5
12.19.03.1
2,824100.0
43.315.028.319.429.512.616.9
.8
.4
.1
.36.96.1
.8
7,292100.0
21.77.7
14.031.332.712.819.92.11.0.7.4
12.28.73.5
NOTE: Estimates for the above race groups (white, black or AfricanAmerican, and Asian) do not sum to totals because data are not presentedfor all races. In addition, persons whose ethnicity is identified as Hispanic orLatino may be of any race and, therefore, are classified by ethnicity as well
as by race. Beginning in January 2005, data reflect revised populationcontrols used in the household survey. Dash indicates no data or data thatdo not meet publication criteria.
30
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-21. Employed persons by industry and occupation
(In thousands)
Industry
July 2005
Totalem-
ployed
Management,professional,and relatedoccupations
Manage-ment,
business,and
financialoperations
occupa-tions
Profes-sionaland
relatedoccupa-
tions
Serviceoccupations
Protectiveserviceoccupa-
tions
Serviceoccups
tionn,except
protects
Sales and officeoccupations
Salesand
relatedoccupa-
tions
Officeand
adminis-trative
supportoccupa-
tions
Natural resources,construction, and
maintenance occupations
Farming,fishing,
andforestryoccupa-
tions
Construc-tionand
extrac-tion
occupa-tions
Instal-lation,
mainte-nance,
andrepair
occupa-tions
Production, trans-portation, and
material movingoccupations
Produc-tion
occupa-tions
Transpor-tationand
materialmovingoccupa-
tions
Agriculture, forestry,fishing, and hunting ........
MiningConstructionManufacturing
Durable goods .Nondurable goods
Wholesale and retailtradeWholesale trade.....Retail trade
Transportation andutilities
InformationFinancial activitiesProfessional and business
servicesEducation and health
servicesLeisure and hospitalityOther services
Other services, exceptprivate households .......
Private householdsPublic administration
2,560588
11,62816,23410,1796,055
21,5184,665
16,853
7,5303,569
10,077
14,447
28,25513,0197,257
6,346911
6,600
1,11776
1,4582,4271,513
914
1,480510970
796675
3,641
3,011
2,4161,653
567
567
19054
5651
2202,1331,552
581
1,021175346
3241,062
653
4,483
14,958891961
9564
1,587
13.1
3421138
606
54
421240
562
108306
17
17
1,781
7G211
92118-
53447
487
26082
311
2,382
6,2188,1082,614
1,74087'3368
24
13
108
534
261
273
11,1321,7249,408
153400
2,306
631
145891367
367
24
8162
6581,589
919670
3,454926
2,527
1,807803
2,720
2,194
3,562638751
7465
1,375
1,032
5561442
463710
3
1
5
8
9
9
20
7199
8,045338285
52
1192297
2051
70
191
1283840
364
97
4563
494725477248
874198675
458391163
258
206109
1,166
1,166
159
3433
1986,8184,3662,452
658139519
2578741
305
18988
480
4782
47
7283
3371,382
687696
2,139881
1,258
3,23557
131
476
317297285
2632239
NOTE: Beginning in January 2005, data reflect revised population controls useil in the household survey. Dash indicates no data or data that do not meet publicationcriteria.
31
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-22. Employed persons in agriculture and related and in nonagricuitural industries by age, sex, and class of worker
(In thousands)
Age and sex
July 2005
Agriculture and related industries
Wage andsalary
workers
Self-employedworkers
Unpaidfamily
workers
Nonagricuitural 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
1,4471225864
171316285285204
1,164954254
14926323921115948
282271711225445734516
1,053835769144241279304
7373
4299166193228
3165331
2746758676
612212912365103
3215969
32
28734233571
130,9496,9832,6844,30014,00428,62831,73929,82415,8213,950
69,5133,3931,2192,1747,41315,84617,10415,3768,2382,143
61,4363,5911,4652,1266,59012,78114,63514,4487,5831,807
111,0566,5122,5084,00412,89825,05826,68723,96812,5773,356
60,7343,1491,1362,0136,91714,26914,91812,8826,7931,806
50,3223,3621,3721,9915,98210,78911,76911,0865,7831,550
91113678581091681661849060
107162149351420103
8041207644991331521638057
110,1456,3762,4303,94612,79024,89126,52223,78412,4873,296
60,6273,1341,1341,9996,90714,23414,90412,8616,7841,803
49,5183,2421,2951,9475,88210,65611,61710,9235,7041,493
19,893472176296
1,1053,5695,0525,8563,244594
8/77924383161497
1.5772,1862,4951,445337
11,11422993135608
1,9922,8663,3621,800257
9,6641186554287
1,6112,3592,6871,846756
6,058845034219986
1,4431,6991,112514
3,60634151968625916988734242
1116
9102227288
37
658666
73
341421232
NOTE:criteria.
Beginning in January 2005, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet publication
32
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-23. Employed persons in nonagricultyral industries by sex and class of worker
(In thousands)
industry and sex
July 2005
Totalemployed1
Wage and salary workers
TotalPrivate
industriesGovernment
Self-employedworkers
TOTAL
Total, 16 years and overMiningConstructionManufacturing
Durable goodsNondurable goods
Wholesale and retail tradeWholesale tradeRetail trade
Transportation and utilitiesTransportation and warehousingUtilities
InformationFinancial activities
Finance and insuranceReal estate and rental and leasing
Professional and business servicesProfessional and technical servicesManagement, administrative, and waste services
Education and health servicesEducational servicesHealth care and social assistance
HospitalsHealth services, except hospitalsSocial assistance
Leisure and hospitalityArts, entertainment, and recreationAccommodation and food services
Other servicesOther services, except private householdsPrivate households
Public administration
Men
Total, 16 years and overMiningConstructionManufacturing
Durable goodsNondurable goods .,
Wholesale and retail tradeWholesale tradeRetail trade
Transportation and utilitiesTransportation and warehousingUtilities
InformationFinancial activities
Finance and insuranceReal estate and rental and leasing
Professional and business servicesProfessional and technical servicesManagement, administrative, and waste services
Education and health servicesEducational servicesHealth care and social assistance
HospitalsHealth services, except hospitalsSocial assistance
Leisure and hospitalityArts, entertainment, and recreationAccommodation and food services
Other servicesOther services, except private householdsPrivate households
Public administration
140,723588
11,62816,23410,1796,055
21,5184,665
16,8537,5306,3111,2193,569
10,0776,9813,096
14,4478,3796,069
28,25510,92517,3315,9688,4852,878
13,0193,3379,6827,2576,345
9116,600
75,608506
10,55211,4227,5753,846
11,9393,3118,6285,8024,861
9411,9984,5222,9081,6148,4334,6493,7837,1763,5313,6451,4351,795
4156,2251,8374,3883,4453,337
1073,589
130,949575
9,68015,9339,9695,963
20,3064,492
15,8157,0985,8781,2193,4429,2926,6552,637
12,4047,2635,141
27,14210,72616,4165,9618,1122,343
12,2232,8959,3286,2535,342
9116,600
69,513494
8,73511,2347,4283,806
11,2603,1688,0935,4244,483
9411,9184,0222,6531,3707,1763,9723,2046,9043,4573,4471,4281,621
3975,8191,6074,2122,9382,831
1073,589
111,056574
9,20515,8459,9035,942
20,2194,484
15,7355,4724,604
8683,2609,0616,4992,562
11,9777,0714,907
17,6652,939
14,7265,1777,6751,874
11,5552,3019,2546,2245,313
911
60,734494
8,31111,1607,3703,790
11,2283,1608,0684,3183,666
6511,8893,9282,6061,3226,8983,8513,0474,1401,1033,0371,1761,555
3055,4581,2684,1892,9122,804
107
19,893
47588662287879
1,6261,27435218323215675427193234
9,4777,7871,690784437469669594742929
6,600
8,779
424745816328
251,10681728929954648278121157
2,7652,3544102526692361339222626
3,589
9,66414
1,93829620690
1,185173
1,012422422
127782323459
2,0241,111913
1,1041989067
368531771436335
1,0011,001
6,05813
1,81318614739671144527375375
80500255244
1,252676576267741937
17313
394227168507507
See footnotes at end of table.
33Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-23. Employed persons in nonagricultural industries by sex and class of worker—Continued
(In thousands)
Industry and sex
July 2005
Totalemployed 1
Wage and salary workers
Total Privateindustries Government
Self-employedworkers
Women
Total, 16 years and overMiningConstructionManufacturing
Durable goodsNondurable goods
Wholesale and retail tradeWholesale tradeRetail trade
Transportation and utilitiesTransportation and warehousingUtilities
InformationFinancial activitiesFinance and insuranceReal estate and rental and leasing
Professional and business servicesProfessional and technical servicesManagement, administrative, and waste services
Education and health servicesEducational servicesHealth care and social assistanceHospitalsHealth services, except hospitalsSocial assistance
Leisure and hospitalityArts, entertainment, and recreationAccommodation and food services
Other servicesOther services, except private householdsPrivate households
Public administration
65.11582
1,0764.8132,6042.2099,5791,3538,2251,7291,450279
1,5725,5554,0731.4826,0153,7292,28621,0797,39413,6864,5336,6902,4636,7931,5005.2943.8123,008804
3,011
61,43681945
4,6992,5412.1589,0461,3247,7221,6741,396279
1,5245,2704,0031,2675,2283,2911,937
20,2387,26912,9694,5336,4911,9456,4041,2885,1163,3152.511804
3,011
50,32281894
4,6852,5332.1528,9911,3247,6671,154938216
1,3705,1333,8931,2405,0793,2201,86013,5251,83611,6894,0016.1201.5696.0971,0335,0643,3122,508804-
1,114—52148655
5552045862154137110271497177
6,7125,4331,2795323713773082555233
3,6061
1241105951514294854747
4728268215771434337837124713_195518377209168494494
3,011
1 Includes unpaid family workers, not shown separately.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet publication
criteria.
34Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-24. Persons at work in agriculture and related and in nonagriculturai industries by hours of work
Hours of work
July 2005
Thousands of persons
Allindustries
Agricultureand relatedindustries
Nonagriculturaiindustries
Percent distribution
Allindustries
Agricultureand relatedindustries
Nonagriculturaiindustries
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 hours '.40 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
132,777
30,4881,6074,203
15,2859,392
102,2898,960
56,08537,24413,41513,8689,960
39.342.7
2,468
58538154264129
1,883115684
1,083154268662
45.251.2
130,309
29,9031,5694,049
15,0219,263
100,4068,845
55,40136,16013,26213,6009,298
39.242.5
100.0
23.01.23.2
11.57.1
77.06.7
42.228.010.110.47.5
100.0
23.71.56.2
10.75.2
76.34.7
27.743.9
6.210.826.8
100.0
22.91.23.1
11.57.1
77.16.8
42.527.710.210.47.1
NOTE: Beginning in January 20058 data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meetpublication criteria.
A-25. Persons at work 1 to 34 hours in all and In nonagriculturai industries by reason for working less than 35 hoursand usual full- or part-time status
(Numbers in thousands)
Reason for working less than 35 hours
July 2005
All industries
TotalUsually
workfull time
Usuallywork
part time
Nonagriculturai industries
TotalUsually
workfull time
Usuallywork
part time
Total, 16 years and over
Economic reasonsSlack work or business conditionsCould only find part-time workSeasonal workJob started or ended during week
Noneconomic reasonsChild-care problemsOther family or personal obligationsHealth or medical limitationsIn school or trainingRetired or Social Security limit on earningsVacation or personal dayHoliday, legal or religiousWeather-related curtailmentAll other reasons
Average \hours:Economic reasonsOther reasons
30,488
4,5782,7161,534
201127
25,910666
4,841810
4,7691,9244,828
104388
7,579
23.021.5
10,006
1,6591,392
141127
8,34738
602
121
4,828104388
2,264
23.923.5
20,482
2,9191,3251,534
61
17,563628
4,239810
4,6481,924
5,314
22.520.5
29,903
4,5392,6901,526
196127
25,364659
4,769777
4,7291,7824,773
103358
7,414
23.021.6
9,838
1,6441,380
137127
8,19438
595
121
4,773103358
2,206
23.923.5
20,065
2,8951,3101,526
59
17,170620
4,174111
4,6091,782
5,208
22.520.6
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meetpublication criteria.
35
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-26. Persons at work in nonagncultural industries by class of worker and usual full- or part-time status
(Numbers in thousands)
Industry and class of worker
July 2005
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
Wholesale and retail trade
Transportation and utilities
Information
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other servicesOther services, except private households .Private households
Public administration ..
Self-employed workers .Unpaid family workers ..
130,309
121,209
531
9,353
15,0729,3925,681
19,459
6,650
3,287
8,872
11,867
22,220
11,707
5,9255,041
884
6,266
8,990111
29,903
27,077
36
1,506
1,661952709
5,050
876
556
1,396
2,357
6,256
4,590
1,8761,389
487
916
2,75274
4,539
4,109
4
444
299162137
798
189
66
83
410
721
770
294174120
31
4282
8,194
7,628
22
586
851527324
979
313
176
523
769
1,930
566
30425549
609
5606
17,170
15,340
10
476
511262248
3,273
375
314
790
1,178
3,605
3,254
1,278960318
276
1,76367
100,406
94,132
495
7,846
13,4128,4404,972
14,409
5,774
2,731
7,476
9,510
15,963
7,116
4,0493,652
397
5,350
6,23836
39.2
39.2
49.9
41.2
41.942.241.4
38.6
42.8
40.3
40.5
40.0
37.0
35.2
36.537.729.6
40.9
39.128.4
42.5
42.3
50.4
42.5
42.842.942.6
42.8
44.5
43.1
42.6
42.6
40.5
41.9
42.442.839.7
41.9
45.2
1 Data not shown where base is less than 75,000.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
36
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-27. Persons at work In nonagriculturai industries by age, sex9 race, Hispanic or Latino ethnicity, marital status, and usual full- orpart-time status
(Numbers in thousands)
Age, sex, race, Hispanic orLatino ethnicity, and marital status
July 2005
Totalat
work
130,3096,7362,5724,164
123,57313,798
109,77589,60220,173
71,8113,3311,1922,140
68,4797,460
61,01949,89511,124
58,4993,4041,3802,024
55,0946,338
48,75639,7079,049
106,60859,76546,844
14,6747,0847,589
5,9783,3032t675
17,35410,7146,640
41,7288,983
21,099
29,40311,83217,263
Total
29,9034,2002,0312,169
25,7034,248
21,45515,5735 882
11,7361,848
879969
9.8891,8798t0095,4922,517
18,1662,3521,1521,200
15,8142,369
13,44510,0813,365
25,0099,783
15,225
2,9941,1731,820
1,123457666
3 ,,5711,5941,977
5,1021,2785,356
9,0572,9596,151
Worked 1 to 34 hours
Foreconomicreasons
4,539568198370
3,971925
3,0462,546
500
2,261281
96185
1,980512
1,4671,224
244
2,278287102185
1,991413
1,5791,322
257
3,4731,7861,688
754319435
1587880
992579413
743284
1,234
810469998
For noneconomicreasons;
Usuallyworkfull
time
8,19424773
1747,947
7497,1985,7641,434
4,1491394099
4,009366
3,6442,886
758
4,0451083375
3,937383
3,5542,878
675
6,8653,5353,330
837364473
257127130
905535371
2,538514
1,097
2,155912978
Usuallyworkparttime
17,1703,3851,7601,625
13,7852,574
11,2117,2633,948
5,3271,427
743684
3,8991,0012,8981,3831,515
11,8431,9581,017
9419,8851,5728,3135,8802,433
14,6704,462
10,208
1,403491912
708253455
1,674481
1,194
1,821480
3,025
6,0911,5774,174
Worked35 hoursor more
100,4062,535
5411,994
97,8719,551
88,32074,02914,291
60,0741,484
3131,171
58,5915,581
53,01044,403
8,607
40,3321,052
228824
39,2803,970
35,31029,6265,684
81,60049,98231,618
11,6805,9115,769
4,8552,8462,009
13,7839,1204,663
36,6267,705
15,743
20,3468,874
11,113
Average hours
Totalat
work
39.228.423.531.439.836.740.140.837.4
41.730.325.233.142.238.642.643.339.9
36.126.622.129.736.734.637.037.634.3
39.241.835.9
38.940.437.5
39.641.337.4
38.840.535.9
43.242.238.3
36.137.935.1
Persons whousually work
full time
42.539.939.040.142.641.142.842.842.3
43.740.440.740.443.842.044.044.143.6
40.739.136.739.840.839.840.941.040.5
42.743.940.8
41.542.540.5
42.743.541.5
41.241.839.9
44.543.742.1
40.641.140.7
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 years ..,55 years and over
Men, 16 years and over .,16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over25 to 54 years55 years and over
Women, 16 years and over16 to 19 years16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Race and Hispanic ©ir Latino ethnicity
White, 16 years and overMen.Women
Black or African American, 16 years and overMenWomen
Asian, 16 years and overMenWomen
Hispanic or Latino, 16 years and overMenWomen
Marital status
Men, 16 years and over:Married, spouse presentWidowed, divorced, or separatedNever married
Women, 16 years and over:Married, spouse presentWidowed, divorced, or separatedNever married
NOTE: Estimates for the above race groups (white, black or African American,and Asian) do not sum to totals because data are not presented for all races, inaddition, persons whose ethnicity is identified as Hispanic or Latino may be of
any race and, therefore, are classified by ethnicity as well as by race. Beginningin January 2005, data reflect revised population controls used in the householdsurvey.
37
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-28. Persons at work by occupation, sex, and usual full- or part-time status
(Numbers in thousands)
Occupation and sex
July 2005
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
Management, professional, and related occupationsManagement, business, and financial operations occupationsProfessional and related occupations
Service occupationsSales and office occupations
Sales and related occupations ,Office and administrative support occupations
Natural resources, construction, and maintenance occupations 1
Construction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupationsProduction occupationsTransportation and material moving occupations
Men, 16 years and over
Management, professional, and related occupationsManagement, business, and financial operations occupations ,Professional and related occupations
Service occupationsSales and office occupations
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupations 1
Construction and extraction occupationsinstallation, maintenance, and repair occupations
Production, transportation, and material moving occupationsProduction occupationsTransportation and material moving occupations
Women, 16 years and over
Management, professional, and related occupationsManagement, business, and financial operations occupations .Professional and related occupations
Service occupationsSales and office occupations
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupations 1
Construction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupationsProduction occupationsTransportation and material moving occupations
132,777
43,03419,30823,72522,87634,53015,93518,59515,1699,1264,898
17,1688,7218,447
73,683
22,51611,18511,33110,04113,1578,2474,910
14,4448,8774,675
13,5256,1367,389
59,094
20,5188,124
12,39512,83521,3737,688
13,685725249223
3,6432,5851,058
30,488
8,3912,7945,5977,9778,9154,449
2,3151,557
5292,8901,2401,650
12,085
3,0841,2531,8312,6052,3201,439881
2,1081,482485
1,968681
1,287
18,403
5,3071,5413,7665,3716,5953,0103,5862077544923559363
4,578
698175523
1,3901,10764546268756090697305392
2,289
3178723051232319313065754690
480167313
2,289
381882938787844523323014
21613779
8,347
3,2611,2791,9811,2651,911806
1,105966629277944523421
4,263
1,509668841518648391257909600258679325354
4,084
1,752611
1,141747
1,263415847572919
26519867
17,563
4,4321,3403,0925,3225,8982,9982,900661369163
1,249413837
5,533
1,258497760
1,5751,350856494542336138808188620
12,030
3,174842
2,3323,7474,5492,1422,4071193325
441224217
102,289
34,64316,51518,12814,89925,61511,48614,12912,8547,5684,36914,2777,4816,797
61,598
19,4329,9329,5007,43610,8376,8074,03012,3367,3954,19011,5575,4556,102
40,691
15,2116,5828,6297,46314,7784,67810,099
518174179
2,7202,025695
39.3
40.843.338.835.837.938.637.441.540.942.440.940.641.1
41.8
43.645.541.838.341.442.339.841.841.042.641.941.742.0
36.1
37.740.236.133.835.834.536.637.337.137.937.238.134.9
42.7
43.545.241.941.542.043.540.842.942.243.442.941.944.1
44.0
45.246.843.642.644.145.342.243.042.243.543.642.544.6
40.8
41.342.740.240.540.541.040.341.240.140.240.140.339.6
1 Includes farming, fishing, and forestry occupations, not shown separately.N O T E : Beginning in January 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-29. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex
Marital status, race, Hispanicor Latino ethnicity, and age
Men
Thousands ofpersons
July2004
Jui/20G5
Unemploymentrates
July2004
July2005
Women
Thousands ofpersons
July2004
July2005
Unemploymentrates
July2004
July2005
Total, 16 years and over.................................Married, spouse present ...................Widowed, divorced, or separated ......................Never married
White, 16 years and over ....Married, spouse presentWidowed, divorced, or separated ......................Never married ...........................................
Black or African American, 116 years and overMarried, spouse presentWidowedB divorced, or separated ......................Never married .....................................................
Asian, 16 years and overMarried, spouse present.....................................Widowed, divorced, or separated ......................Never married .....................................................
Hispanic or Latino, 16 years and over............Married, spouse presentWidowed, divorced, or separated ......................Never married ....................................................
Total, 25 years and over.................................Married, spouse presentWidowed, divorced, or separated ......................Never married ......................................................
White, 25 years and over ...............................Married, spouse present....................................Widowed, divorced, or separated ......................Never married
Black or African American, 25 years and overMarried, spouse present....................................Widowed, divorced, or separated ......................Never married
Asian, 25 years and overMarried, spouse present....................................Widowed, divorced, or separated ......................Never married ....................................................
Hispanic or Latino, 25 years and overMarried, spouse present.....................................Widowed, divorced, or separated ......................Never married
4,302-1,389
5732,340
3,0311,057
4311,542
981226112643
147711463
70026969
362
2,7501,343
566841
1,9831,020
426537
58221B111254
111711427
4432S268
12.3
3,8711,143
5452,183
2,718894395
1,429
857'72119J!S66
511598
(i-1717788
:i:54
1,091507"i 95
i/i'85843364#28
489'.72'111';!06
94501529
::H3•P61
7576
5.43.05.79.8
4.52.75.38.0
12.46.49.1
20.3
4.33.25.96.6
5.94.24.49.4
4.13.05.86.7
3.52.65.35.5
9.06.49.2
13.7
3.73.26.14.7
4.74.24.76.3
4.82.45.38.9
4.02.24.77.3
10.34.B9.6
16.5
4.62.25.0
10.6
4.32.85.36.2
3.52.45.16.1
3.02.24.55.2
7.24.89.1
10.2
3.02.15.15.5
3.22.75.03.5
4S2151,346
9201,950
2,8961,115
6351,147
1,066150223693
120472745
648199166283
2,7501,238
865646
1,9321,024
599309
660140207313
88472714
40817015682
3,9671,358
8711,738
2,7031,052
6161,035
929159177593
175994135
588210120258
2,7581,257
845656
1,918972593353
578143173262
150954114
421193117111
6.13.86.69.9
5.23.75.88.0
11.75.49.5
17.3
4.22.68.36.2
8.45.59.9
11.5
4.83.76.36.6
4.23.65.64.7
8.85.29.0
12.3
3.52.78.73.3
6.65.09.8
5.73.86.38.6
4.83.55.67.0
10.25.77.8
14.5
5.85.2
10.75.0
7.55.77.2
10.2
4.73.76.26.5
4.13.35.55.2
7.75.37.8
10.0
5.75.1
10.83.6
6.65.67.38.3
MOTE: Estimates for the above race groups (white, black or African Amerbairc, and Asian) do not sum to totals because data are not presented for aii races.Sn addition, persons whose ethnicity Is identified as Hispanic or Latino nay be of any race and, therefore, are classified by ethnicity as well as by race.Beginning In January 2005, data reflect revised population controls used In the ihousehoSd survey.
39
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-30. Unemployed persons by occupation and sex
Occupation
Thousands ofpersons
Total
July2004
8,518
1,5095483901579611167124903438914889
1,54217583668343274
2,020987
1,032
961121656184
1,475790685
988746139103
July2005
7,839
1,3284883461428408455263526368134111
1,511163102603398245
1,953932
1,021
84459576208
1,304703601
883658106119
Unemployment rates
Total
July2004
5.7
3.12.72.62.73.43.62.41.73.92.15.25.21.3
6.15.62.98.25.75.5
5.35.75.0
6.010.16.83.5
7.57.67.5
——_
July2005
5.2
2.72.32.32.42.92.61.91.71.61.54.84.61.6
5.95.03.37.56.44.8
5.15.34.9
5.14.85.73.9
6.77.16.3
—_
Men
July2004
5.4
2.72.42.42.13.03.42.32.13.8.84.25.21.1
5.76.42.88.15.34.6
4.53.75.8
5.89.96.63.6
6.76.66.8
._——
July2005
4.8
2.32.22.31.62.42.22.11.11.3.93.75.51.1
5.61.82.57.36.74.8
4.23.45.6
4.83.15.63.8
5.55.65.4
_—
Women
July2004
6.1
3.43.12.93.23.64.13.01.14.03.55.55.21.4
6.45.53.18.36.25.7
5.87.74.7
9.110.714.12.0
10.29.811.3
„
—
—
July2005
5.7
3.02.62.33.13.23.61.12.41.72.35.23.71.7
6.15.45.97.76.04.8
5.67.24.7
9.510.211.36.8
10.910.4
11.9
_.—
Total, 16 years and over1
Management, professional, and related occupationsManagement, business, and financial operations occupationsManagement occupationsBusiness and financial operations occupations
Professional and related occupationsComputer and mathematical occupationsArchitecture and engineering occupationsLife, physical, and social science occupationsCommunity and social services occupationsLegal occupationsEducation, training, and library occupationsArts, design, entertainment, sports, and media occupations .Healthcare practitioner and technical occupations
Service occupationsHealthcare support occupationsProtective service occupationsFood preparation and serving related occupationsBuilding and grounds cleaning and maintenance occupationsPersonal care and service occupations
Sales and office occupationsSales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenance occupationsFarming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupations ...Production occupationsTransportation and material moving occupations
No previous work experience16 to 19 years20 to 24 years25 years and over
1 Includes a small number of persons whose last job was in the Armed Forces.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
40
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-31. Unemployed persons by Iridystry and sex
Industry
Thousands ofpersons
Total
JulyS:004
July2005
Unemployment rates
Total
July2004
July2005
Men
July2004
July2005
Women
July2004
July2005
Total, 16 years and over
Nonagricultura! private wage and salary workers .
Mining
Construction
Manufacturing .
Durable goodsNonmetallic mineral productsPrimary and fabricated metal products .Machinery manufacturing ......Computer and electronic products .......Electrical equipment and appliances ....Transportation equipment.....................Wood productsFurniture and Mures............................Miscellaneous manufacturing ...............
'Nondurable goods ........................Food manufacturing....................Beverage and tobacco products .Textile, apparel, and leather .......Paper and printingPetroleum and coal products ......Chemicals ...................................Plastics and rubber products ......
Wholesale and retail trade .Wholesale trade...............Retail trade ......................
Transportation and utilities ............Transportation and warehousing ,Utilities .........................................
Information2 ..............................................................Publishing, except InternetMotion picture and sound recording industriesBroadcasting, except InternetTelecommunications........................................................Internet service providers and data processing services .Other information services
Financial activitiesFinance and Insurance
FinanceInsurance
Real estate and rental and leasing .Real estateRental and leasing services
Professional and business servicesProfessional and technical servicesManagement, administrative, and waste services 2 .
Administrative and support servicesWaste management and remediation services .....
Education and health services............Educational services......................Health care and social assistance .,
Hospitals.......................................Health services, except hospitals .Social assistance ..........................
a, 51 a
(5,358
28
iBIO
1,019
05641100567337
221262380
364MS9785855147
1,163161
1,002
,23120724
174313112751212
30720715651
1006437
790'27451648823
72517764899
2811,69
7,839
5,922
22
509
883
5803683468329
189343049
303683
8646115038
1,194195999
222214
8
1424832253313
30921915663906129
804283522514
8
63516047497
260109
5.7
5.5
5.4
6.4
6.0
6.27.75.04.74.66.79.14.93.76.3
5.77.14.78.03.92.54.36.3
5.53.46.1
4.34.52.8
5.23.77.92.15.58.216.4
3.33.23.62.33.62.96.3
6.23.79.69.76.6
4.05.43.72.03.68.5
5.2
5.1
3.7
5.2
5.3
5.57.14.13.95.45.88.06.24.24.2
4.94.41.29.43.68.03.74.9
5.64.26.0
3.94.4.9
4.25.89.03.92.6.4
• 2.4
3.33.33.62.63.42.95.2
6.33.89.6
10.22.3
3.55.23.11.83.45,5
5.4
5.2
5.4
6.3
5.4
5.98.55.24.23.78.67.95.83.46.2
4.56.23.45.73.71.34.03.7
4.32.84.9
4.04.41.8
4.63.56.22.34.79.81
3.13.23.62.22.92.24.8
5.83.38.89.25.5
3.33.13.42.72.69.0
4.8
4.6
4.3
5.3
4.8
5.16.43.83.54.73.77.7S.23.45.7
4.15.0
8.22.55.94.44.2
4.63.74.9
3.43.81.1
3.22.612.13.41.5.4
O)2.72.63.41.12.92.24.8
5.22.98.08.8.9
2.42.82.21.72.14.5
6,1
5.9
(1)
7.6
7.3
7.03.54.56.26.53.313.01.84.66.4
7.78.8
(1)9.74.4
(1)4.912.7
7.04.67.4
5.25.05.9
6.13.911.51.66.9
3.53.23.72.34.53.79.4
6.74.2
10.710.41
4.26.73.81.73.98.4
5.7
5.6
4.7
6.4
6.79.66.15.46.710.39.3
12.76.02.2
6.13.4
(1)11.96.0
2.36.4
6.85.37.1
5.66.7.3
5.58.74.24.74.6.5
1
3.73.73.83.53.93.66.1
7.75.012.112.41
3.86.53.41.93.75.7
See footnotes at end of table.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-31. Unemployed persons by industry and sex—Continued
Industry
Thousands ofpersons
Total
July2004
July2005
Unemployment rates
Total
July2004
July2005
Men
July2004
July2005
Women
July2004
July2005
Leisure and hospitalityArts, entertainment, and recreationAccomodation and food services
AccomodationFood services and drinking places
Other servicesOther services, except private households
Repair and maintenancePersonal and laundry servicesMembership associations and organizations
Private households
Agricultural and related private wage and salary workersGovernment workersSelf-employed and unpaid family workersNo previous work experience
96512983684
752
346279118798367
140741291988
142787109678
27421367648260
69683282883
7.85.58.44.89.1
5.65.37.04.84.37.6
10.03.72.6
7.45.87.85.88.3
4.23.93.93.83.96.2
4.73.32.5
5.37.33.78.0
7.36.77.56.15.6
24.4
10.03.02.9
7.46.17.86.08.2
3.43.13.92.91.811.1
3.22.72.6
8.75.89.25.510.1
4.23.83.04.23.45.7
10.14.22.2
7.55.57.85.78.4
4.94.74.14.25.45.5
11.13.82.3
1 Data not shown where base is less than 75,000.2 Includes other industries, not shown separately.NOTE: Beginning in January 2005, data reflect revised population controls
used in the household survey. Dash indicates no data or data that do not meetpublication criteria.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-32. Unemployed persons by reason for unemployment, sex, and age
(Numbers in thousands)
Reason
Total,,16 yeansand ever
July2004
July2005
Men,20 yearsand over
July2004
July2005
Women,20 yearsand over
July2004
July2005
Both sexes,16 to 19years
July2004
July2005
NUMBER OF UNEMPLOYED
Total unemployed ....... ...........Job losers and persons who completed temporary jobs
On temporary layoff .....................................Not on temporary layoffPermanent job losersPersons who completed temporary jobs
Job leavers.,.......:......... ........................Reentrants .............„......,.........;..............New entrants
PERCENT DISTRIBUTION
Total unemployedJob losers and persons who completed temporary jobs
On temporary layoff ....Not on temporary layoff
Job leaversReentrantsNew entrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobsJob leaversReentrantsNew entrants ...........
8,5184,2331,1523,0812,265
817922
2,375988
100.049.713.536.210.827.911.6
2.8.6
1.6.7
7,8393,6181,0462,673'1,884
688843
2,494883
100.046.213.332.810.831.811.3
2.4.6
1.7.6
3,5142,270
5321,7381,250
489423708113
100.064.615.149.512.020.13.2
3.0.6.9.1
3,0731,796
4531,344
967377381306
100.058.514.743.712.426.2
2.9
2.3.5
1.0.1
3,4181,753
5461,207
931276414
1,124129
100.051.316.035.312.132.93.8
2.7.6
1.7.2
3,3391,680
5461,134
859275390
1,133136
100.050.316.434.011.733.94.1
2.6.6
1.7.2
1,58521175
136845285
543746
100.013.34.78.65.4
34.247.1
2.41.06.28.6
1,4271424795593672
554658
100.010.03.36.75.1
38.946.1
1.6.8
6.47.6
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-33. Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity
(Numbers in thousands)
Reason
White
July2004
July2005
Black orAfrican
American
July2004
July2005
Asian
July2004
July2005
Hispanicor Latinoethnicity
July2004
July2005
NUMBER OF UNEMPLOYED
Total unemployedJob losers and persons who completed temporary jobsOn temporary layoffNot on temporary layoff
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployed ;
Job losers and persons who completed temporary jobsOn 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
5,9263,045
9262,1191,604
515698
1,544639
100.051.415.635.811.826.110.8
2.5.6
1.3.5
5,4212,582
8041,7781,339
439628
1,654557
100.047.614.832.811.630.510.3
2.1.5
1.3.5
2,047933162772527244159687268
100.045.67.937.77.833.513.1
5.5.94.01.6
1,786760171589374215136642249
100.042.59.633.07.635.913.9
4.4.83.71.4
267148221269135364340
100.055.38.1
47.213.716.015.1
2.4.6.7.6
34015836122109133210346
100.046.410.535.99.6
30.513.6
2.4.51.6.7
1,349682188494351142119335213
100.050.513.936.68.924.815.8
3.5.61.71.1
1,10548713135622013696359163
100.044.111.832.28.732.514.8
2.4.51.8.8
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. Inaddition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-34* Unemployed persons by reason for unemployment, sex, age, and duration of unemployment
(Percent distribution)
Reason, sex, and age
Total, 16 years and overJob 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 overJob losers and persons who completed temporary jobs
On temporary layoffNot on temporary layoff...............................................
Permanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
Women, 20 years and overJob losers and persons who completed temporary jobs
On temporary layoffNot on temporary layoffPermanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
Both sexes, 16 to 19 yearsJob losers and persons who completed temporary jobs
On temporary layoffNot on temporary layoffPermanent job losersPersons who completed temporary jobs
Job leaversReentrantsNew entrants
July 2005
Total unemployed
Thousandsof persons*
7,8393,6131,0462,5731,884
688843
. 2,494883
3,0731,796
4531,34*1
9673773811800
89
3,3391,680
5461,134
859276390
1,13313(5
1,427142479!55»3072
554650
Percent
100.0100.0100.0100.0100.0100.0100.0100.0100.0
100.0100.0100.0100.0100.0100.0100.0100.0100.0
100.0100.0100.0100.0100.0100.0100.0100.0100.0
100.0100.0100.0100.0100.0100.0100.0100.0100.0
Duration of unemployment
Less than5 weeks
35.839.857.232.728.743.642.329.032.9
33.037.361.229.225.838.136.522.823.0
5 to 14weeks
34.630.534.129.129.627.628.938.546.3
31.328.528.928.428.627.729.937.439.0
34.733.439.330.631228.730.336.1513
41.721.7
( 1 )20.7
i46.2
15 weeks and over
Total
29.529.78.3
38.241.728.828.932.620.8
35.734.210.042.445.634.233.639.738.0
15 to 26weeks
27 weeksand over
1 Data not shown where base is less than 75,000.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
A-35. Unemployed total and full-time workers by duration of unemployment
Duration of unemployment
Total, 16 years and overLess than 5 weeks5 to 14 weeks
5to 10weeks ... . ..11 to 14 weeks
15 weeks and over15 to 26 weeks27 weeks and over27 to 51 weeks52 weeks and over
Average (mean) duration In weeksMedian duration in weeks
Total
Thousands of persons
July2004
8,5183,0872,6842,038
6462,7471,1001,847
664983
17.58.0
July2005
7,8392,8092,7162,013
7032,314
9551,359
580779
16.58.0
Percent distribution
July2004
100.036.231.523.97.6
32.212.919.37.8
11.5
July2005
100.035.834.625.7
9.029.512.217.37.49.9
Full-time workers
Thousands of persons
July2004
7,1582,3962,2261,676
5502,536
9891,546
622924
19.08.8
July2005
6,4052,1552,2081,598
6102,043
8451,198
533664
17.48.6
Percent distribution
July2004
100.033.531.123.47.7
35.413.821.6
8.712.9
July2005
100.033.634.524.99.5
31.913.218.78.3
10.4
MOTE: Beginning In January 2005, data reflect revised population controls used in the household survey,publication criteria.
Dash Indicates no data or data that do not meet
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-36. Unemployed persons by age, sex, race, Hispanic or Latino ethnicity, marital status, and duration of unemployment
Sex, age, race, Hispanicor Latino ethnicity, and
marital status
July 2005
Thousands of persons unemployed
TotalLessthan
5 weeks
5 to 14weeks
15 weeks and ove,T
Total15 to 26weeks
27 weeksand over
Weeks of unemployment
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 over ..,16 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 and Hispanic or Latino ethnicity
White, 16 years and overMenWomen
Black or African American, 16 years and overMen..Women
Asian, 16 years and overMenWomen
Hispanic or Latino ethnicity, 16 years and overMenWomen
Marital status
Men, 16 years and over:Married, spouse presentWidowed, divorced, or separatedNever married
Women, 16 years and over:Married, spouse presentWidowed, divorced, or separatedNever married
7,8391,4271,2611,6701,3621,266
666188
3,871798680774608615294102
3,967629581897753650372
5,4212,7182,703
1,786857929
340164175
1,105517588
1,143545
2,183
1,358871
1,738
2,80961346853142644724578
1,35033625423019120010731
1,45927621330123524713847
2,0961,0271,069
502228275
1134865
406209196
386174790
536306616
2,71659545263245334419248
1,2913282323041691508027
1,42526621932828519411221
910988
618287332
1025349
382161222
325156810
478280667
2,314219342507482474229
61
1,23013319423924926510743
1,08486
148268233209122
18
1,427781646
665343322
1246461
317147170
432215583
343285456
9551011592122031709218
4655583
1008584517
4904676
112118864111
595294301
281145136
391327
1577681
17065
230
157128205
1,35911818329527930413743
76579
1101391641815636
5943972
156115123817
832487345
384198186
855134
1607189
262150353
186157251
16.510.415.016.917.821.318.419.8
17.911.516.317.720.823.318.527.7
15.18.9
13.616.215.319.318.410.4
15.116.313.9
20.021.818.3
18.921.916.1
15.014.715.3
19.222.916.0
14.716.714.5
8.05.67.58.99.29.38.97.3
8.55.87.6
10.09.9
11.29.39.2
7.55.37.47.98.88.08;73.9
7.27.86.8
9.710.59.0
10.312.08.5
7.87.38.2
10.19.77.7
6.88.97.4
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for ail races. Inaddition, persons whose ethnicity is identified as "Hispanic or Latino" may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning inJanuary 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-37* Unemployed persons by occupation, industry, and duration of unemployment
Occupation and industry
OCCUPATION
Management professional, and related occupations ....Management, business, and financial operations
occupationsProfessional and related occupations
Service occupations ..„.Sales and office occupations
Sales and related occupationsOffice and administrative support occupations
Natural resources, construction, and maintenanceoccupations
Farming, fishing, and forestry occupationsConstruction and extraction occupationsInstallation, maintenance, and repair occupations
Production, transportation, and material moving occupationsProduction occupations ..................................Transportation and material moving occupations ................
INDUSTRY2
Agriculture and related industriesMiningConstructionManufacturing
Durable goodsNondurable goods
Wholesale and retail tradeTransportation and utilitiesinformationFinancial activitiesProfessional and business servicesEducation and health servicesLeisure and hospitalityOther servicesPublic administration
Wo previous work experience
July 2005
Thousands of persons unemployed
Total
1,328
488840
1,5111,953932
1,021
84459576208
1,304703601
7122522391588303
1,201237145312831
1,058951274142
333
Lessthan
5 weeks
486
135351568641329312
30015
23351519274245
225
217335227109367100
379329843536010239
291
5 to 14weeks
463
162300540628309320
2652016678407221136
229
15528016911140557391072644093563647
409
15 weeks and over
Total
380
191189403684295390
2792417779
377207170
279
15027619383
42980691132692142358756
183
15 to 26weeks
155
9461200297137161
1151182221388553
116
64966136
220303154114901092612
49
27 weeksand over
225
97123203387158229
165129557239122117
18386179132472095038591551241286144
135
Weeks ofunemployment
Average(mean)duration
16.2
18.814.714.417.915.819.9
17.5C 1 )15.921.017.017.017.0
(J)(1)15.517.518.715.217.219.421.917.717.512.414.218.423.6
15.1
Medianduration
7.7
10.76.17.69.07.8
10.1
8.4( 1 )
7.59.58.18.77.7
()7.38.78.68.79.47.3
13.710.38.56.07.58.89.7
6.5
1 Data not shown where base is less than 75,000.2 Includes wage and salary workers only.NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-38. Persons not in the labor force by desire and availability for work, age, and sex
(In thousands)
Category
Total
July2004
July2005
16 to 24years
July2004
July2005
25 to 54years
July2004
July2005
55 yearsand over
July2004
July2005
Sex
Men
July2004
July2005
Women
July2004
July2005
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 prospects 3
Reasons other than discouragement.Family responsibilitiesIn school or trainingIll health or disabilityOther 4
74,20469,4374,7672,6922,075
5181,557
5041,053
127125137665
75,03169,951
5,0812,9472,133
6171,516
4991,016
150110122634
11,95010,345
1,605811794209585
187399
168517
281
12,24410,403
1,842980862271592
223368277523
244
21,38419,1982,1871,1851,002
272730
2175121054086
282
21,63619,3112,3251,3181,007
288719
2085111112985
285
40,87039,895
975695279
37242
100142
5
34102
41,15140,237
914650264
59205
68137
126
14105
27,40225,424
1,978968
1,010178832
327505
378558
325
27,77825,715
2,0631,135
929194735
284450
305949
311
46,80244,013
2,7891,7241,065
340725
177548904079
340
47,25444,236
3,0171,8131,205
424781
2155661205173
323
1 Includes some persons who are not asked if they want a job.2 Persons who had a job in the prior 12 months must have searched since
the end of that job.3 Includes believes no work available, could not find work, lacks necessary
schooling or training, employer thinks too young or old, and other types of
discrimination.4 Includes those who did not actively look for work in the prior 4 weeks for
such reasons as child-care and transportation problems, as well as a smallnumber for which reason for nonparticipation was not ascertained.
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HOUSEHOLD DATANOT SEASONALLY ADJUSTED
A-39. Multiple jobholders by selected demographic and economic characteristics
(Numbers in thousands)
Characteristic
Both sexes
Number
July2004
July2005
Rate1
July2004
July2005
Men
Number
July2004
July2005
Rate1
July2004
July2005
Women
Number
July2004
July2005
Rate1
July2004
July2005
AGE
Total, 16 years and over2
16 to 19 years ......................20 years and over20 to 24 years25 years and over.....................................................25 to 54 years55 years and over....................................................55 to 64 years ........................................................65 years and over...................................................
RACE AND HISPANIC OR LA11MQ ETHNICITY
WhiteBlack or African American ........................................AsianHispanic or Latino ethnicity
MARITAL STATUS
Married, spouse presentWidowed, divorced, or separatedNever married ............" ........................................
FULL- OR PART-TIME STATUS
Primary job full time, secondary job part time ............Primary and secondary jobs both part time ...............Primary and secondary jobs both full timeHours vary on primary or secondary job
7,521455
7,065862
6,2035,224
979809170
6,404713215638
3,9761825929285
3,8291,711
3151,605
7,595492
7,103869
6,2345,2321,002
792210
6,342832239563
3,9901,1932,412
3,9641,662
3291,594
5.36.45.36.06.25.44.54.73.6
5.54.88.63.5
6.05.65.8
1 Multiple Jobholders as a percent of all employed persons in specifiedgroup.
2 Includes a small number of persons who work part time on their primsiryjob and full time on their secondary jobs(s), not shown separately.
NOTE: Estimates for the above race groups (white, black or AfricanAmerican, and Asian) do not sum to totals because data are not presented for
5.36.85.26.05.15.34.34.44.1
5.45.33.83.0
5.05.25.9
3,913182
3,731463
3,2682,752
516420
96
3,340346135332
2,370458
1,085
2,239574214871
3,958212
3,745427
3,3172,756
562417144
3,332393123309
2,355436
1,166
2,303584224827
5.15.05.26.05.15.24.44.63.6
5.25.04.13.0
5.34.95.0
5.15.95.15.55.05.24.44.34.9
5.15.33.62.7
5.24.56.2
3,607273
3,334399
2,9352,471
46438974
3,064367
80306
1,606801
1,200
1,5901,137
101733
3,639281
3,358442
2,9162,476
44037466
3,010439117254
1,636757
1,246
1,6611,078
105767
5.67.95.46.05.45.64.64.93.5
5.84.62.94.3
4.76.16.8
5.57.65.46.65.35.54.14.43.1
5.75.34.13.5
4.85.86.7
all races. In addition, persons whose ethnicity is identified as Hispanic or Latinomay be of any race and, therefore, are classified by ethnicity as well as by race.Beginning in January 2005, data reflect revised population controls used in thehousehold survey. Dash indicates no data or data that do not meet publicationcriteria.
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ESTABLISHMENT DATAHISTORICAL EMPLOYMENT
B-1. Employees on nonfarm payrolls by major industry sector, 1955 to date
(in thousands)
Yearand
monthTotal
Totalprivate
Goods-producing
TotalNatural
resourcesand
mining
Construc-tion
Manufac-turing
Service-providing
Total
Trade,transpor-
tationand
utilities
Infor-mation
Financialactivities
Profes-sional
andbusinessservices
Educationand
healthservices
Leisureand
hospitality
Otherservices
Govern-ment
Annual averages
1955,1956.1957.1958,19591.1960 .
1961 .1962.1963 .1964 .1965 .1966 .1967 .1968.1969 .1970 .1971 .1972 .1973.1974.1975.1976 .1977.1978 .1979 .1980.
1981 .1982 .1983 .1984 .1985 .1986 .1987,1988.1989.1990,
1991 .1992,19931994199519961997,1998 ,1999 ,2000 ,
2001200220032004,
2004:JulyAugustSeptemberOctoberNovemberDecember ,
2005:JanuaryFebruaryMarchAprilMayJunep.Julyp.
50,74452,47352,95951,42653,37454,296
54,10555,65956,76458,39160,87464,02065,93168,02370,51271,006
71,33573,79876,91278,38977,06979,50282,59386,82689,93290,528
91,28989,67790,28094,53097,51199,474
102,088105,345108,014109,487
108,374108,726110,844114,291117,298119,708122,776125,930128,993131,785
131.826130,341129,999131,480
43,72245,08745,23543,48045,18245,832
45,39946,65547,42348,68050,68353,11054,40656,05058,18158,318
58,32360,33363,05064,08662,25064,50167,33471,01473,86474,154
75,10973,69574,26978,37180,97882,63684,93287,80690,08791,072
89,82989,94091,85595,01697,866100,169103,113106,021108,686110,996
110,707108,828108,416109,862
19,23419,79919,66918,31919,16319,182
118,64719,203119,385119,73320,59521,74021,88222,29222,89322,179
21,60222,29923,45023,36421,31822,02522,97224,15624,99724,263
24,11822,55022,11023,43523,58523,31823,47023,90924,04523,723
22,58822,09522,21922,77423,15623,41023,88624,35424,46524,649
23,87322,55721,81621,884
828859864801789771
728709694
690679671683677
658672693755802832865902
1,0081,077
1,1801,163997
1,014974829771770750765
739689666659641637654645598599
606583572591
2,8813,0823,0072,8623,0502,973
2,9082,9973,0603,1483,2843,3713,3053,4103,6373,654
3,7703,9574,1674,0953,6083,6623,9404,3224,5624,454
4,3044,0244,0654,5014,7934,9375,0905,2335,3095,263
4,7804,6084,7795,0955,2745,5365,8136,1496,5456,787
6,8266,7166,7356,964
15,52415,85815,79814,65615,32515,438
15,01115,49815,63115,88816,61717,68017,89718,21118,57317,848
17,17417,66918,58918,51416,90917,53118,16718,93219,42618,733
18,63417,36317,04817,92017,81917,55217,60917,90617,98517,695
17,06816,79916,77417,02117,24117,23717,41917,56017,32217,263
16,44115,25914,51014,329
31,51032,67433,29033,10734,21135,114
35,45836,45537,37938,65840,27942,28044,04945,73147,61948,827
49,73451,49953,46255,02555,75157,47759,62062,67064,93566,265
67,17267,12768,17171,09573,92676,15678,61881,43683,96985,764
85,78786,63188,62591,51794,14296,29998,890
101,576104,528107,136
107,952107,784108,182109,596
10,61210,92110,94210,65610,96011,147
11,04011,21511,36711,67712,13912,61112,95013,33413,85314,144
14,31814,78815,34915,69315,60616,12816,76517,65818,30318,413
18,60418,45718,66819,65320,37920,79521,30221,97422,51022,666
22,28122,12522,37823,12823,83424,23924,70025,18625,77126,225
25,98325,49725,28725,510
1,735•1,7781,7801,6741,7181,728
1,6931,7231,7351,7661,8241,9081,9551,9912,0482,041
2,0092,0562,1352,1602,0612,1112,1852,2872,3752,361
2,3822,3172,2532,3982,4372,4452,5072,5852,6222,688
2,6772,6412,6682,7382,8432,9403,0843,2183,4193,631
3,6293,3953,1883,138
2,2122,2992,3482,3862,4542,532
2,5902,6562,7312,8112,8782,9613,0873,2343,4043,532
3,6513,7843,9204,0234,0474,1554,3484,5994,8435,025
5,1635,2095,3345,5535,8156,1286,3856,5006,5626,614
6,5586,5406,7096,8676,8276,9697,1787,4627,6487,687
7,8077,8477,9778,052
3,3203,4373,5043,4493,5913,694
3,7443,8853,9904,1374,3064,5174,7204,9185,1565,267
5,3285,5235,7745,9746,0346,2876,5876,9727,3127,544
7,7827,8488,0398,4648,8719,2119,608
10,09010,55510,848
10,71410,97011,49512,17412,84413,46214,33515,14715,95716,666
16,47615,97615,98716,414
2,4912,5932,6762,6952,8222,937
3,0303,1723,2883,4383,5873,7703,9864,1914,4284,577
4,6754,8635,0925,3225,4975,7566,0526,4276,7677,072
7,3577,5157,7668,1938,6579,0619,515
10,06310,61610,984
11,50611,89112,30312,80713,28913,68314,08714,44614,79815,109
16,64516,19916,58816,954
3,1403,2423,2673,2433,3653,460
3,4683,5573,6393,7723,9514,1274,2694,4534,6704,789
4,9145,1215,3415,4715,5445,7946,0656,4116,6316,721
6,8406,8747,0787,4897,8698,1568,4468,7789,0629,288
9,2569,4379,732
10,10010,50110,77711,01811,23211,54311,862
12,03611,98612,17312,479
Monthly data, seasonally adjusted
131,562131,750131,880132,162132,294132,449
132,573132,873132,995133,287133,413133,579133,786
109,976110,105110,203110,462110,588110,749
110,863111,140111,264111,542111,659111,823112,004
21,90221,94621,94721,98221,99622,022
22,00422,06622,09322,13022,13822,13622,140
596595597595599602
607612619623624628629
6,9656,9856,9987,0437,0607,086
7,0907,1337,1597,2077,2137,2287,235
14,34114,36614,35214,34414,33714,334
14,30714,32114,31514,30014,30114,28014,276
109,660109,804109,933110,180110,298110,427
110,569110,807110,902111,157111,275111,443111,646
25,53625,53725,55525,58125,62125,620
25,65225,71425,74325,79725,84225,85025,916
3,1443,1353,1273,1313D1333B127
3,1233,1273,1343,1523,1463,1463,148
8,0438,0588,0838,0938,1078,128
8,1508,1658,1678,1828,1898,2088,229
16,45316,47016,51416,61416,61116,674
16,69416,77516,79616,84316,85116,90816,941
16,96317,01017,01917,08117,10817,142
17,17817,18617,21017,24317,28917,33217,353
12,49712,50812,52212,54612,57112,589
12,61112,65012,66212,72312,73612,76012,793
9781,0181,0501,0581,1071,152
1,1881,2431,2881,3461,4041,4751,5581,6381,7311,789
1,8271,9001,9902,0782,1442,2442,3592,5052,6372,755
2,8652,9243,0213,1863,3663,5233,6993,9074,1164,261
4,2494,2404,3504,4284,5724,6904,8254,9765,0875,168
5,2585,3725,4015,431
7,0217,3867,7247,9468,1928,464
8,7069,0049,3419,711
10,19110,91011,52511,97212,33012,687
13,01213,46513,86214,30314,82015,00115,25815,81216,06816,375
16,18015,98216,01116,15916,53316,83817,15617,54017,92718,415
18,54518,78718,98919,27519,43219,53919,66419,90920,30720,790
21,11821,51321,58321,618
5,4385,4415,4365,4345,4415,447
5,4515,4575,4595,4725,4685,4835,484
21,58621,64521,67721,70021,70621,700
21,71021,73321,73121,74521,75421,75621,782
1Data include Alaska and Hawaii beginning in 1959. This inclusion resulted in an increaseof 212.000 (0.4 percent) in the nonfarm total for the March 1959 benchmark month.
p= preliminary.NOTE: Data are currently projected from March 2004 benchmark levels. When more
recent benchmark data are introduced with the release of January 2006 estimates, allunadjusted data (beginning April 2004) and all seasonally adjusted data (beginningJanuary 2001) are subject to revision.
50
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ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupeivisoiy workers1 on private nonfarm payrolls by major industrysector,, 1964 to date
Year andmonth
1964 . . .19651966196719681969 ...... .......
19701971197219731974 . .19751976197719781979
19801981 ...............19821983198419851986198719881989
1990199119921993199419951996199719981999
20002001200?20032004
2004:JulyAugustSeptemberOctoberNovember.......December.......
2005:January...........FebruaryMarchAprilMayJunep . . . ..,Julyp
Total private
Weeklyhours
Hourlyearnings
Weeklyearnings
Goods-producing
Weeklyhours
Hourlyearnings
Weeklyearnings
Natural resourcesand mining
Weeklyhours
Hourlyearnings
Weeklyearnings
t
Weeklyhours
Construction
Hourlyearnings
Weeklyearnings
Annual averages
33.538.638.537.937.737.5
37.036.836.936.936.436.036.135.935.835.6
35.235.234.734.935.134.934.734.734.634.5
34.334.134.234.334.534.334.334.534.534.3
34.334.033.933.733.7
$2.532.632.732.853.023.22
3.403.633.904.144.434.735.065.445.876.33
6.847.437.868.198.488.733.929.139.439.80
10.1910.5010.7611.0311.32116412.0312.4913.0013.47
14.0014.5314.9515.3515.67
$97.41101.52105.11108.02113.85120.75
125.80133.58143.91152.77161.25170.28182.67195.30210.15225.35
240.77261.54272.74235.33297.65304.68309.52316.81326.28338.10
349.29358.06367.83378.40390.73399.53412.74431.25443.04462.49
480.41493.20506.07517.30523.56
40.340.740.940.340.340.3
39.639.539.940.139.639.139.739.940.039.3
39.539.638.839.840.340.140.140.440.440.4
40.140.140.240.641.140.840.841.140.340.3
40.739.939.939.340.0
$2.532.632.742.873.073.29
3.523.794.064.344.695.115.495.946.437.04
7.668.419.009.329.67
10.0110.2010.3910.6911.04
11.4611.7611.9912.2812.6312.9613.3813.8214.2314.71
15.2715.7816.3316.8017.19
$101.96107.04112.07115.66123.72132.59
139.39149.71161.99174.03185.72199.80217.95237.01259.20280.19
302.57333.04349.20370.94389.70401.40409.02419.76431.88446.02
459.55471.32482.58498.82519.58528.62546.48568.43530.99599.99
621.86630.04651.61669.13638.03
43.443.744.143.944.044.3
43.943.744.043.843.743.744.244.744.944.7
44.945.144.143.944.644.643.643.543.344.1
45.045.344.644.945.345.346.046.244.944.2
44.444.643.243.644.5
$2.762.873.003.143.303.54
3.773.994.284.595.095.636.196.707.448.20
8.979.89
10.6411.1411.5411.8712.1412.1712.4512.91
13.4013.8214.0914.1214.4114.7815.1015.5716.2016.33
16.5517.0017.1917.5613.08
$119.78125.42132.30137.85145.20156.82
165.50174.36188.32201.04222.43248.22273.60299.49334.06366.54
402.75446.04469.22489.05514.68529.40529.30529.40539.09569.33
602.54625.42629.02634.77653.14670.32695.07720.11727.28721.74
734.92757.92741.97765.94804.03
37.737.938.138.137.838.4
37.837.637.037.237.136.937.337.037.337.5
37.537.437.237.638.238.237.938.238.238.3
38.338.138.038.438.838.838.938.938.839.0
39.238.738.4-38.438.3
$3.083.233.413.633.924.30
4.745.175.555.896.296.787.177.568.118.71
9.3710.2411.0411.3611.5611.7511.9212.1512.5212.98
13.4213.6513.8114.0414.3814.7315.1115.6716.2316.80
17.4818.0018.5218.9519.23
$116.12122.42129.92138.30148.18165.12
179.17194.39205.35219.11233.36250.18267.44279.72302.50326.63
351.38382.98410.69427.14441.59448.85451.77464.13478.26497.13
513.43520.41525.13539.81558.53571.57588.48609.48629.75655.11
685.78695.89711.82726.83735.70
Monthly data, not seasonally adjusted
33.934.233.633.833.633.8
33.633.533.533.633.933.833.8
$15.5915.6615.7916.8215.8415.88
16.0015.9615.9516.0116.0315.9716.03
$523.50535.57530.54534.72532.22536.74
537.60534.66534.33537.94543.42539.79541.81
40.040.339.740.140.040.3
39.539.439.739.940.140.239.6
$17.1817.2817.4017.3917.3717.43
17.3117.3417.3717.4817.5117.5617.62
$687.20696.38690.78697.34694.80702.43
683.75633.20689.59697.45702.15705.91697.75
44.544.844.345.445.345.3
45.044.645.045.446.045.845.4
$18.0217.9517.9718.0718.2118.46
18.5318.4518.3618.6718.5818.6018.73
$801.89804.16796.07820.38824.91836.24
833.85822.87326.20847.62854.68851.88850.34
39.1S9.137.638.738.238.2
36.837.137.838.738.939.238.3
$19.2419.3319.4219.4719.3519.31
19.1219.2019.2519.3519.3019.3619.54
$752.28755.80730.19753.49739.17737.64
703.62712.32727.65748.85750.77758.91758.15
See footnotes at end of table.
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ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm paiyrollls by major industrysector, 1964 to date—Continued
Year andmonth
196419651966196719681969
197019711972197319741975 ,1976197719781979
1980198119821983198419851986198719881989
1990199119921993199419951996199719981999
20002001200220032004
2004:JulyAugustSeptemberOctoberNovemberDecember
2005:JanuaryFebruaryMarchAprilMayJunep.Julvp
Weeklyhours
Manufacturing
Hourlyearnings
Hourlyearnings,excludingovertime
Weeklyearnings
Durable goods
Weeklyhours
Hourlyearnings
Hourlyearnings,excludingovertime
Weeklyearnings
Nondurable goods
Weeklyhours
Hourlyearnings
Hourlyearnings,excludingovertime
Weeklyearnings
Annual averages
40.841.241.440.640.740.6
39.839.940.640.740.039.540.140.340.440.2
39.739.838.940.140.740.540 740.941.040.9
40.540 440.741.141.741.341.341.741.441.4
41.340.340.540.440.8
$2.412.492.602.712.893.07
3.233.453.703.974.314.715.095.556.056.57
7.157.868.368.709.059.409.599.77
10.0510.35
10.7811.1311.4011.7012.0412.3412.7513.1413.4513.85
14.3214.7615.2915.7416.14
$2.322.392.482.602.772.94
3.123.333.553.794.144.564.915.335.796.31
6.907.608.128.398.699.039.219.359.609.89
10.2910.6310.8611.1011.3611.6812.0512.3812.7113.09
13.5514.0614.5414.9615.29
$98.33102.59107.64110.03117.62124.64
128.55137.66150.22161.58172.40186.05204.11223.67244.42264.11
283.86312.83325.20348.87368.34380.70390.31399.59412.05423.32
436.16449.73464.43480.80502.12509.26526.55548.22557.12573.17
590.65595.19618.75635.99658.53
41.642.142.341.341.541.4
40.440.441.341.640.840.040.841.141.240.9
40.240.339.440.841.541.341.441.641.941.7
41.140.941.341.942.642.142.142.642.141.9
41.840.640.840.841.3
$2.652.732.842.943.133.32
3.493.744.014.294.645.095.515.996.517.05
7.688.458.969.309.65
10.0110.2010.3510.6410.93
11.4011.8112.0912.4112.7813.0513.4513.8314.0714.46
14.9315.3816.0216.4516.82
$2.552.612.702.823.003.18
3.373.613.844.094.464.935.315.746.226.77
7.428.178.728.989.259.619.799.90
10.1510.45
10.8911.3011.5411.7812.0412.3212.6913.0013.2813.65
14.1114.6715.2315.6315.92
$110.24114.93120.13121.42129.90137.45
141.00151.10165.61178.46189.31203.60224.81246.19268.21288.35
308.74340.54353.02379.44400.48413.41422.28430.56445.82455.78
468.43483.28499.59519.92544.66549.49566.53589.10591.68606.67
624.38624.54652.97671.21694.16
39.639.940.139.639.739.5
39.039.139.539.438.938.639.239.239.239.1
38.338.938.239.239.439.439.640.039.939.9
39.639.740.040.140.540.140.140.540.540.4
40.339.940.139.840.0
$2.062.132.222.342.512.68
2.853.043.253.473.784.144.474.885.305.78
6.326.957.507.848.148.478.718.939.199.50
9.8710.1810.4510.7010.9611.3011.6812.0412.4512.85
13.3113.7514.1514.6315.05
$1.992.052.132.252.412.57
2.752.933.123.333.644.004.314 695.105.57
6.106.727.267.567.838.158.368.558.809.09
9.429.709.94
10.1610.3810.7311.0711.3911.7912.17
12.6213.0913.4413.9114.27
$81.5884.9989.0292.6699.65
105.86
111.15118.86128.38136.72147.04159.80175.22191 30207.76226.00
245.22270.36286.50307.33320.72333.72344.92357.20
379.05
390.65404.17417.95429.15443.82452.83467.88487.04503.99519.91
536.82548.41566.84582.61602.48
Monthly data, not seasonally adjusted
40.340.940.640 740.841.2
40.640.440.440.340.440.539.8
$16.0316.1616.3516.2616.3216.46
16.4216.4316.4116.4516.5016.5216.49
$15.2015.2815.4615.3715.4515.54
15.5815.5815.5815.6215.6715.6515.64
$646.01660.94663.81661.78665.86678.15
666.65663.77662.96662.94666.60669.06656.30
40.641.340.941.241.241.7
41.040.940.940.740.941.040.2
$16.6016.8417.0616.9817.0417.22
17.1517.2017.1617.2017.2417.2817.20
$15.7515.9316.1516.0516.1216.23
16.2616.3016.2816.3416.3616.3816.33
$673.96695.49697.75699.58702.05718.07
703.15703.48701.84700.04705.12708.48691.44
39.840.240.139.940.140.3
39.939.639.639.539.739.739.2
$15.1315.0815.2315.1115.1615.21
15.2415.1715.1915.2215.2815.2715.34
$14.3414.2614.3714.3014.3514.41
14.4814.4114.4314.4714.5114.4914.54
$602.17606.22610.72602.89607.92612.96
608.08600.73601.52601.19606.62606.22601.33
See footnotes at end of table.
52
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ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisofy workers1 on private rtonfam payrolls by major Industrysector, 1S64 to date-—Continued
Year andmonth
19641965 J196619671968 ...1969 . ..............
1970 ...... ..1971 ......197219731974 .. . ......1975 .1976 . .. ... .197719781979
198019811982 .. .. ......1983 ...............19841985 .................1986 ..................19871988 ................1989 .
199019911992199319'94199519961997 . . .....1998 .. ....1999
2000 ...........20'0120022003 J2004 ...........
2004:July . ....AugustSeptember......October .. ...November.......December.......
2005:JanuaryFebruaryMarchAprilMay ,Junep
JuiyP
Privateservice-providing
Weeklyhours
Hourlyearnings
Weeklyearnings
Trade, transportation,and utilities
Weeklyhours
Hourlyearnings
Weeklyearnings
information
Weeklyhours
Hourlyearnings
Weeklyearnings
Financial activities
Weeklyhours
Hourlyearnings
Weeklyearnings
Annual averages
37.537.336.936.436.135.9
35.535.335.235.134.834.534.334.133.833.6
33.433.333.233.233.233.032.932.832.732.6
32.532.432.532.532.732.632.632.832.832.7
32.732.532.532.432.3
$2.532.632.732.842.993.17
3.333.533.814.014.284.544.825.165.555.95
6.426.947.357.707.958.178.388.628.919.31
9.7110.0510.3310.6010.8711.1911.5712.0512.5913.07
13.6014.1614.5614.9615.26
$94.3898.10
100.74103.38107.94113.80
118.22124.61134.11140.75148.94156.63165.33175.96187.59199.92
214.43231.10244.02255.64263.94269.61275.70282.74291.36303.51
315.49325.31335.46345.03354.97364.14376.72394.77412.78427.30
445.00460.32472.88483.89493.67
39.739.639.138.538.237.9
37.637.437.437.236.836.436.336.035.635.4
35.034.934.634.634.734.434.134.133.833.8
33.733.733.834.134.334.134.134.334.233.9
33.833.533.633.633.5
$2.852.943.043.153.323.48
3.653.864.234.454.745.025.315.676.106.55
7.047.557.918.238.458.608.748.929.159.46
9.8310.0810.3010.5510.8011.1011.4611.9012.3912.82
13.3113.7014.0214.3414.59
$113.15116.42118.86121.28126.82131.89
137.24144.36158.20165.54174.43182.73192.75204.12217.16231.87
246.40263.50273.69284.76293.22295.84298.03304.17309.27319.75
331.55339.19348.68359.33370.38378.79390.64407.57423.30434.31
449.88459.53471.27481.14488.58
38.238.338.337.637.637.6
37.237.037.337.337.036.636.736.836.836.6
36.336.335.836.236.636.536.436.536.136.1
35.335.635.836.036.036.036.436.336.636.7
36.836.936.536.236.3
$4.354.474.564.684.855.05
5.255.535.876.176.526.927.377.848.343.86
9.4710.2110.7611.1-811.5011.8112.0812.3612.6312.99
13.4013.9014.2914.8615.3215.6816.3017.1417.6718.40
19.0719.8020.2021.0121.42
$186.17171.20174.65175.97182.36189.88
195.30204.61218.95230.14241.24253.27270.48288.51306.91324.28
343.76370.62385.21404.72420.9043107439.71451.14455.94468.94
479.50495.20512.01535.25551.28564.98592.68622.40646.52675.32
700.89731.11738.17760.81777.42
37.237.137.236.936.836.9
36.636436436436 336.236 236.236.135.9
36.036.036.035.936.236.136.136.035.635.6
35.535.535.635.535.535.535.535.786.035.8
35.935.835.635.535.5
$2.292.382.472.582.752.92
3.073 233 373 553 804.034 304.584.935.31
5 826346 827.327.657.978.378.739.079.54
9.9910.4210.8611.3611.8212.2812.7113.2213.9314.47
14.9815.5918.1717.1417.53
$85.1988.3091.8895.20
101.20107.75
112.36117 57122 67129 22137 94147.70155 66165.80177.97190.63
209 52228 24245 52262 79276.93287.72302.16314.28322.89339.62
354.65369.57386.01403.02419.20436.12451.49472.37500.95517.57
537.37558.02575.51609.08622.99
Montr illy data, not seasonally adjusted
32.532.832.332.432.232.4
32.432.232.132.332.632.432.5
$15.1615.2215.3515.4015.4315.46
15.6615.6015.5915.6215.6415.5415.61
$492.70499.22495.8149S.96496.85500.90
507.38502.32500.44504.53509.86503.50507.33
33.834.033.633.533.333.6
33.233.233.233.333.633.533.6
$14.5614.5814.6914.6914.6714.61
14.8814.8614.8614.9414.9314.8614.95
$492.13495.72493.58492.12
I 488.51490.90
494.02493.35493.35497.50501.65497.81502.32
36.336.836.236.336.338.4
36.636.336.136.236.736.436.4
$21.2921.4321.7321.6921.702174
21.8321.6721.6821.9221.9321.8222.03
$772.83788.62786.63787.35787.71791.34
798.98786.62782.65793.50804.83794.25801.89
35.436.135.235.535.535.5
38.435.735.635.736.535.935.9
$17.4617.5917.6217.6817.6117.67
17.8317.7317.7617.8617.9517.7817.93
$618.08635.00620.22627.64625.16627.29
649.01632.96632.26637.60655.18638.30643.69
See footnotes at end of table.
53
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ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfairm payrolls by major industrysector, 1964 to date—Continued
Year andmonth
196419651966196719681969
1970197119721973197419751976197719781979
1980198119821983198419851986198719881989
199019911992 ,1993199419951996199719981999
20002001200220032004
2004:JulyAugust . ..SeptemberOctoberNovemberDecember
2005:JanuaryFebruaryMarchAprilMayJunep
Julyp,
Professional andbusiness services
Weeklyhours
Hourlyearnings
Weeklyearnings
Education andhealth services
Weeklyhours
Hourlyearnings
Weeklyearnings
Weeklyhours
Leisure andhospitality
Hourlyearnings
Weeklyearnings
Other services
Weeklyhours
Hourlyearnings
Weeklyearnings
Annual averages
37.437.337.036.636.336.3
35.935.535.535.535.335.134.934.734.634.4
34.334.334.234.434.334.234.334.334.234.2
34.234.034.034.034.134.034.134.334.334.4
34.534.234.234.134.2
$3.173.283.393.513.653.&4
4.044.254.504.725.015.295.605.956.326.71
7.227.808.308.708.989.289.559.85
10.2210.69
11.11411.5011.7811.9612.1512.5313.0013.5714.2714.85
15.5216.3316.8117.2117.46
$118.56122.34125.43128.47132.50139.39
145.04151.23159.75167.56176.85185.68195.44206.47218.67230.82
247.65267.54283.86299.28308.01317.38327.57337.86349.52365.60
380.61391.09400.64406.20414.16426.44442.81465.51490.00510.99
535.07557.84574.66587.02596.96
35.535.234.934.534.134.1
33.833.333.333.333.133.032.732.532.332.2
32.132.1-32.132.132.031.932.032.032.032.0
31.931.932.032.032.032.031.932.232.232.1
32.232.332.432.332.4
$2.012.122.232.362.492.68
2.883.113.333.543.824.094.394.725.075.44
5.936.497.007.397.677.988.258.578.969.46
10.0010.4910.8711.2111.5011.8012.1712.5613.0013.44
13.9514.6415.2115.6416.16
$71.3674.6277.8381.4284.9191.39
97.34103.56110.89117.88126.44134.97143.55153.40163.76175.17
190.35208.33224.70237.22245.44254.56264.00274.24286.72302.72
319.27334.55348.29359.08368.14377.73388.27404.65418.82431.35
449.29473.39492.74505.69523.83
32.832.531.931.330.830.4
30.029.929.729.429.128.828.528.127.727.4
27.026.926.826.826.726.426.226.326.326.1
26.025.635.725.926.025.925.926.026.226.1
26.125.825.825.625.7
$1.061.141.231.341.491.64
1 781.902.032.152.342.522.712.963.253.54
3.894.264.524.764.874.985.075.175.375.62
5.886.066.206.326.466.626.827.137.487.76
8.118.358.588.768.91
$34.7737.0539.2441.9445.8949.86
53 4056.8160.2963.2168.0972.5877.2483.1890.0397.00
105 03114.59121.14127.57130.03131.47132.83135.97141.23146.68
152.47155.16159.54163.4516800171.43176.48185.81195.82202.87
211.79215.19221.26224.30228,63
36.336.135.835.435.035.0
34734.234.234.133.933.833.633.433.233.0
33 033.033.033.032.932.832.932.832.932.9
32.832.732.632.632.732.632.532.732.632.5
32.532.332.031.431.0
$1.141.251.371.491.621.81
2 012.242.462.672.953.213.513.844.194.56
5 055.616.116.516.797.107.387.698.088.58
9.089.399.669.90
10.1810.5110.8511.2911.7912.26
12.7313.2713.7213.8413.98
$41.3845.1349.0552.7556.7063.35
69 7576.6184.1391.05
100.01108.50117.94128.26139.11150.48
166 65185.13201.63214.83223.39232.88242.80252.23265.83282.28
297.91306.91315.08322.69332.44342.36352.62368.63384.25398.77
413.41428.64439.76434.41433.04
Monthly data, not seasonally adjusted
34.134.734.034.234.234.1
34.033.933 934.134.534.334.2
$17.3517.5017.4717.5417.6217.73
18.0617.9117 8317.8618.0217.8517.96
$591.64607.25593.98599.87602.60604.59
614.04607.15604.44609.03621.69612.26614.23
32.632.832.432.432.432.5
32.932.532.432.432.732.532.6
$16.2316.2016.3016.3016.3316.44
16.4716.4616.5116.5316.5516.5916.73
$529.10531.36528.12528.12529.09534.30
541.86534.95534.92535.57541.19539.18545.40
26.326.625.325.625.325.4
25.325.525.425.526.026.126.4
$8.798.818.949.029.069.11
9.119.099.079.079.089.028.98
$231.18234.35226.18230.91229.22231.39
230.48231.80
1 230.38231.2923(3.08235.42237.07
31.131.330.830.930.830.8
30.930.830.730.931.031.031.1
$13.8813.9314.0614.0614.1214.17
14.2314.2314.1814.1914.2514.1514.14
$431.67436.01433.05434.45434.90436.44
439.71438.28435.33438.47441.75438.65439.75
1Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisory workersin the service-providing industries.
p= preliminary.
NOTE: Data are currently projected from March 2004 benchmark levels. When morerecent benchmark data are introduced with the release of January 2006 estimates, allunadjusted data from April 2004 forward are subject to revision.
54
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ESTABLISHMENT DATAEMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on rionfarm payrolls by major industry sector and selected industry detail, seasonally adjusted
(!n thousands)
Industry2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP July*3
Total nonfarm.
Total private .
Goods-producing..,.
Natural resources and mining .
MiningOil and gas extractionMining, except oil and gas1...
Coal mining........................Support activities for mining .
ConstructionConstruction of buildings
Residential buildingNonresidential building ............
Heavy and civil engineeringconstructionSpecialty trade contractors.........
Residential specialty tradecontractors......Nonresidential specialty tradecontractors................
Manufacturing.
Durable goodsWood productsNo'nmetallic mineral productsPrimary metalsFabricated metal productsMachineryComputer and electronic products1.......
Computer and peripheralequipmentCommunications equipment.,Semiconductors and electroniccomponents....Electronic instruments
Electrical equipment and appliances ...Transportation equipment
Motor vehicles and parts2.......Furniture and related products .,Miscellaneous manufacturing ..........
Nondurable goodsFood manufacturingBeverages and tobacco products ........Textile millsTextile product millsApparelLeather and allied products ..................Paper and paper productsPrinting and related supportactivities....Petroleum and coal productsChemicalsPlastics and rubber products................
Service-providing
Private service-providing.
131,562
109,976
21,902
67.4523.9123.2211.8
73.S193.9
6,9651B632.2
894.5737.7
899.74e433.1
28107.5
2,325.6
14,341
8,926550.0507.9468.4
1,602.61.146.81,332.8
211.4151.3
457.9433.9447.3
1,739.11,086.6
574.0656.8
5,4151,504.6
194.2238.8178.2283.242.5
499.2
665.2112.8887.7808.9
109,660
88,074
131,750
110,105
21,946
59567.5
527.8123.8209.173.1
194.9
6,9851,636.3
900.7735.6
901.14,447.6
2,115.4
2,332.2
14,366
8,965551.7507.6467.4
1,506.81,151.51,334.0
212.4151.6
457.4434.2447.7
1,769.51,112.5
573.3655.2
5,4011,497.0
193.4238.1177.6282.642.5
500.6
663.9113.2885.8306.6
109,804
88,159
131,880
110,203
21,947
59763.0
528.5124.0208.572.9
196.0
6,9981,647.8
905.5742.3
902.14,447.8
2,113.9
2,333.9
14,352
8,957550.1508.8466.4
1,508.51,148.71,332.5
211.9151.0
457.0434.6447.0
1,768.51,109.9
572.1654.5
5,3951,494.3
194.9237.3177.8281.042.7
499.3
661.6113.2885.5
807.1
109,933
88,256
132,162
110,4€i2
21.982
59567.3
527,7123,6208,4
72,7195..7
7,0431,663.0
915.6'747.4
904.14,478.1 j
2,120,11 j
2,355:1!
14,344
8,960
554.1?509.1466.'l)
1,51131,147.31,329.8
209.'/150.7
454JII437.0445.1
i,77i.i:»1,11'i.liJ
57 La654."!
5,3841,493.5
192.9236.5178.1276.142.8
499.4
661.0113.3884.5806.3
110,180
88,480
132,294
110,588
21,996
59966.9
532.5124.4210.7
73.7197.4
7,0601,668.3
918.4749.9
906.44,484.8
2,121.5
2,363.3
14,337
3,954553.3507.9465.8
1,510.91,147.41,327.1
209.3152.7
451.9435.6447.4
1,767.21,104.1
572.2654.7
5,3831,493.6
195.1235.0178.4273.443.4
498.1
661.3113.6882.4808.6
110,298
38,592
132,449
110,749
22,022
60267.9
534.4124.1211.3
73.9199.0
7,0861,678.9
927.4751.5
907.84,499.2
2,125.6 j
2,373.7
14,334
8,957555.2506.5465.2
1,512.81,146.01,325.8
210.4153.7
448.0435.7445.8
1,771.91,104.0
571.7656.4
5,3771,498.8
193.0233.2178.0271.943.1
497.9
660.8113.8830.5806.2
110,427
88,727
132,573
110,863
22,004
60768.0
538.7123.4212.9
75.4202.4
7,0901,682.4.
929.1753.3
908.24,499.6
2,128.2 |
2,371.4
14,307
8,942554.7504.5465.5
1,514.31,145.91,327.0
210.2155.1
447.4436.4445.1
1,760.11,092.9
570.3654.3
5,3651,494.3
192.2231.5178.1269.343.1
499.9
659.6114.5877.1804.9
110,569
38,859
132,873
111,140
22,066
61267.3
545.01122.5215.576.1
207.0
7,1331,689.2
931.4757.8
911.7
4,531.8
2,144.9
2,386.9
14,3218,962553.6504.0436.9
1,514.11,148.01,327.5
211.2154.5
447.1436.4445.3
1,781.81,108.7
567.5663.5
5,3591,493.2
192.5230.1177.9267.243.2
500.2
659.2115.1876.4804.1
110,807
89,074
132,995
111,264
22,093
61968.7
549.8124.0215.7
76.1210.1
7,1591,692.5
937.0755.5
915.74,550.9
2,158.8
2,392.1
14,315
8,957555.2502.0466.6
1,517.31,151.7
133,287
111,542
22,130
62365.2
558.0124.3218.5
76.9215.2.
7,2071,693.4
938.4755.0
926.64,586.5
2,171.0
2,415.5
14,300
8,954551.8504.7466.0
1,517.51,153.7
1,326.0
211.3153.7
446.7436.2444.5
1,776.71,101.2
565.9651.3
5,3581,495.2
191.6228.7177.9262.842.9
502.0
658.8115:0877.5805.8
110,902
89,171
1,329.0
212.5153.9
446.7437.5442.8
1,776.71,096.6
562.8650.3
5,3461,489.6
191.1225.5177.7262.242.8
499.3
658.7116.4878.4804.3
111,157
89,412
133,413
111,659
22,138
62464.9
559.5125.2219.476.6
214.9
7,2131,693.9
941.7752.2
925.84,593.7
2,190.5
2,403.2
14,301
8,961548.4501.6466.2
1,520.71,156.21,329.5
213.3154.2
446.5437.2443.6
1,779.51,097.2
561.8653.0
5,3401,490.7
191.3225.1178.4259.242.8
498.3
656.5117.1877.8803.0
111.275
89,521
133,579
111,823
22,136
62864.8
562.8125.3221.2
77.4216.3
7,2281,697.4
946.3751.1
935.44,595.2
2,195.3
2,399.9
14,280
8,950550.9500.8465.2
1,521.21,156.71,335.0
215.2154.6
448.0439.1440.3
1,764.71,080.4
560.6654.6
5,3301,489.8
190.6224.0177.1257.242.9
496.1
655.6116.8878.1802.1
111,443
89,687
133,786
112,004
22,140
62965.6
563.0126.3219.877.8
216.9
7,2351,703.3
952.2751.1
936.24,595.4
2,194.3
2,401.1
14,276
8,943547.2498.5464.9
1,524.11,160.51,338.2
216.0155.1
449.3439.9440.2
1,751.31,069.7
559.5358.6
5,3331,492.6
190.3222.3177.5258.043.8
495.8
653.0116.9879.1803.4
111,646
89,864
See footnotes at end of table.
55
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTSEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted—Continued
(In thousands)
industry2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP JulyP
Trade, transportation, and utilities
Wholesale tradeDurable goodsNondurable goodsElectronic markets and agents andbrokers
Retail tradeMotor vehicle and parts dealers1
Automobile dealersFurniture and home furnishingsstoresElectronics and appliance storesBuilding material and garden supplystoresFood and beverage storesHealth and personal care storesGasoline stationsClothing and clothing accessoriesstores...Sporting goods, hobby, book, andmusic stores
General merchandise stores1....Department stores
Miscellaneous store retailersNonstore retailers
Transportation and warehousingAir transportationRail transportationWater transportationTruck transportationTransit and ground passengertransportationPipeline transportationScenic and sightseeingtransportationSupport activities for transportation .Couriers and messengersWarehousing and storage
Utilities .
InformationPublishing industries, exceptInternet
Motion picture and sound recordingindustriesBroadcasting, except InternetInternet publishing and broadcasting...TelecommunicationsISPs, search portals, and dataprocessingOther information services
Financial activitiesFinance and insurance
Monetary authorities - central bankCredit intermediation and relatedactivities.1
Depository credit intermediation1
Commercial banking
25,536
5,660.22,955.32,004.0
700.9
15,048.21,904.41,254.1
559.8513.4
1,224.72,828.5
941.0876.6
1,369.5
638.92,848.01,616.1
918.8424.6
4,257.0516.3225.0
58.11,352.5
383.239.0
26.3535.5563.1558.0
570.9
3,144
909.6
394.4327.2
31.41,041.9
388.651.3
8,0435,958.6
21.5
2,829.21,760.61,283.9
25,537
5,662.92,957.82,004.0
701.1
15,043.31,899.81,251.2
561.6512.0
1,228.12,826.2
941.0876.5
1,374.4
639.02,842.51,611.4
918.9423.3
4,260.4515.0224.6
56.71,352.5
386.238.9
27.7536.9562.6559.3
570.1
3,135
909.3
389.3327.831.7
1,037.1
387.651.7
8,0585,970.2
21.6
2,833.41,763.01,283.5
25,555
5,672.42,960.22,008.1
704.1
15,037.71,898.41,247.3
561.9513.6
1,232.52,827.1
942.1878.0
1,371.9
638.72,832.91,603.3
917.0423.6
4,274.1513.8225.5
57.21,358.5
388.339.0
27.8537.7563.8562.5
571.1
3,127
909.2
389.7328.132.0
1,028.4
387.651.5
8,0835,982.1
21.5
2,841.01,765.11,286.4
25,581
5,674.72,962.32,009.1
703.3
15,056.51,896.41,245.0
562.3520.2
1,236.32,830.2
941.6877.0
1,376.0
638.02,835.21,604.2
920.5422.8
4,279.6514.2225.4
57.71,356.0
389.338.9
25.6539.9564.4568.2
570.3
3,131
908.1
395.3329.533.0
1,024.8
389.250.9
8,0935,994.1
21.3
2,847.91,768.11,288.3
25,621
5,680.02,960.42,012.6
707.0
15,081.41,901.21,247.6
565.6520.3
1,240.42,822.7
944.5873.7
1,377.9
639.02,854.91,619.1
917.4423.8
4,289.6514.6224.6
57.81,358.9
389.439.0
26.1544.6568.7565.9
570.2
3,133
908.9
390.6329.4
33.61,030.0
389.550.7
8,1076,001.3
20.9
2,859.21,773.31,293.1
25,620
5,683.62,964.52,009.9
709.2
15,077.01,905.91,249.1
563.7516.5
1,243.52,819.8
946.6871.3
1,381.3
635.82,852.91,619.3
918.2421.5
4,288.0512.3224.0
58.61,366.5
391.038.7
26.6547.0556.4566.9
571.3
3,127
905.7
384.8329.734.0
1,031.5
390.450.7
8,1286,014.5
20.6
2,871.91,778.81,296.8
25,652
5,679.92,965.62,005.4
708.9
15,081.21,907.41,247.9
562.1516.1
1,248.02,826.0
944.8872.9
1,375.5
637.72,853.51,619.1
918.7418.5
4,316.0509.4224.459.8
1,372.6
391.739.3
24.2549.3577.5567.8
574.7
3,123
905.0
380.3331.334.8
1,030.8
339.951.0
8,1506,030.9
20.5
2,882.71,785.61,301.6
25,714
5,688.72,968.72,006.9
713.1
15,125.41,911.21,248.8
562.6515.1
1,264.82,826.6
949.7874.6
1,380.5
636.22,864.11,625.7
919.9420.1
4,324.1507.9223.960.0
1,378.0
391.039.4
24.9551.5577.6569.9
576.0
3,127
905.6
380.9330.4
34.61,032.2
392.650.9
8,1656,037.6
20.4
2,891.01,790.31,305.5
25,743
5,702.22,975.62,011.2
715.4
15,128.71,912.61,250.2
562.3518.4
1,263.72,826.8
949.2874.5
1,384.0
638.32,862.01,624.2
919.4417.5
4,336.6508.0223.7
61.61,383.2
388.739.3
26.7553.4579.3572.7
575.2
3,134
906.8
386.9330.7
35.01,029.9
393.750.7
8,1676,039.8
20.4
2,896.81,794.01,308.0
25,797
5,707.72,976.82,012.6
718.3
15,157.51,914.21,252.2
565.5518.4
1,264.52,834.9
955.0875.0
1,387.0
638.02,864.71,625.3
921.6418.7
4,355.8508.8223.761.3
1,389.8
393.339.5
27.2554.25818576.2
575.6
3,152
905.7
399.3330.7
35.31,037.3
393.950.1
8,1826,048.0
20.3
2,902.61,795.91,308.3
25,842
5,719.02,983.02,014.0
722.0
15,185.81,917.31,254.7
569.1521.9
1,267.62,838.5
958.0876.6
1,394.5
637.22,866.01,629.5
921.1418.0
4,361.4508.1224.361.5
1,392.9
389.839.3
28.3557.2582.4577.6
575.4
3,146
905.7
394.2330.8
35.21,036.2
393.550.2
81896,052.9
20.4
2,906.71,797.81,308.8
25,850
5,721.42,985.72,012.8
722.9
15,195.31,915.81,252.6
565.1524.3
1,273.52,843.4
956.7873.8
1,402.7
636.12,862.51,630.0
923.5417.9
4,357.9506.9224.061.3
1,396.6
381.539.2
28.8556.5581.2581.9
574.9
3,146
907.3
391.9331.935.5
1,035.8
392.850.6
8,2086,062.5
20.3
2,916.11,802.21,311.1
25,916
5,729.42,989.52,013.2
726.7
5,245.11,925.41,258.1
568.5527.0
1,280.52,846.7
956.8878.0
1,415.2
635.12,872.51,640.3
920.7418.7
4,366.3503.8224.061.2
1,396.0
390.039.0
29.3559.3581.7582.0
574.8
3,148
910.6
392.3333.435.0
1,036.2
390.150.8
8,2296,071.0
20.3
2,921.91,804.51,311.8
See footnotes at end of table.
56
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ESTABLISHMENT DATAEMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted—Continued
(In thousands)
industry2004
July Aug. Sept. Get Nov. Dec.
2005
Jan. Feb. Mar. Apr. May June? JulyP
Financial activities-ContinuecaSecurities, commodity contracts,investmentsInsurance carriers and relatedactivitiesFunds, trusts, and other financialvehicles
Real estate and rental and leasingReal estateRental and leasing services...Lessors of nonfinanciai intangibleassets.....
Professional and business services ...Professional and technical services!....
Legal servicesAccounting and bookkeepingservices
Architectural and engineeringservicesComputer systems design andrelated servicesManagement and technicalconsulting services.....
Management of companies andenterprises
Administrative and waste servicesAdministrative and support services1.
Employment services1
Temporary help servicesBusiness support services ...Services to buildings anddwellings
Waste management andremediation services
Education and health services ..Educational servicesHealth care and social assistanceHealthcare3.
Ambulatory health care services1
Offices of physiciansOutpatient care centersHome health care services
HospitalsNursing and residential carefacilities.? ,
Nursing care facilitiesSocial assistance1
Child day care services
Leisure and hospitalityArts, entertainment, and recreation
Performing arts and spectator sportsMuseums, historical sites, zoos, andparks
Amusements, gambling, andrecreation .....
Accommodations and food services ....AccommodationsFood services and drinking places ...
Other servicesRepair and maintenance ....
See footnotes at end of table.
766.3
2,257.0
84.62,084.61,416.7
643.0
24.9
16,4536,765.11,165.0
813.9
1,262.0
1,145.9
784.7
1,723.77,964.07,637.23,477.52,398.6
758.1
1,705.2
326.8
16,9632,765.6
14,197.812,070.44,956.22,054.5
448.4775.4
4,296.2
2,818.01,576.92,127.4
770.4
12,4971,830.9
359.2
118.6
1,353.110,666.11,797.38,868.8
5,4381,227.4
769.9
2,261.0
84.32,088.21,420.0
643.3
772.3
2,263.3
84.02,101.31.429.1
24.9
16,4706,779.71,163.6
814.2
1,264.4
1,155.0
786.9
1,720.77,969.77,643.13,480.02,411.8
757.9
1,706.6
326.6
17,0102,772.3
14,237.812,094.04,969.22,059.1
449.7778.0
4,305.0
2,819.81,576.72,143.8
776.1
12,5081,831.0
358.4
118.8
1,353.810,676.5
1,801.38,875.2
5,4411,225.9
647.6
24.6
16,5146,805.41,166.8
816.1
1,270.5
1,161.1
787.9
1,715.0
777.3
2,264.1
83.52,099.21,4213.6
646.3
24,3
16,6146,836.31,107.4
821.5
1,230.5
1f1fl7,3
70(1.5
1.716.37,993.27,667.33.513.52,438.7
752.6
1,706.4
325.9
17,0192,773.2
14,246.112,106.04,975.02,064.5
448.7779.5
4,306.0
2,825.01,576.62,140.1
767.9
12,5221,836.2
363.6
118.3
1,354.310,685.31,801.58,883.8
5,4361,226.9
8,063.17,736.43,672.92,4B£L5
7I5IL9
1,7061,6
3267
17,0812,794.0
14,287.212,135.34,9116 92,074.2
446.57112,7
4,311,2
2,827.21,576.82,151.9
772.8
12,5461,834.4
364.4
118.2
1,351.810,712.0
1,800.68,9114
5,4241,227.9
776.9
2,260.4
83.92,105.51,434.7
646.0
24.8
16,6116,834.41,163.1
816.6
1,284.9
1,174.1
787.8
1,722.58,054.37,728.23,570.52,484.7
754.6
1,707.2
326.1
17,1082,797.2
14,310.712,153.65,006.72,077.7
449.8789.2
4,319.7
2,827.21,576.42,157.1
775.3
12.5711,826.4
362.5
116.9
1,347.010,744.11,814.78,929.4
5,4411,227.1
779.7
2,258.1
84.22,113.61,437.8
650.9
24.9
16,6746,869.91,164.4
840.8
1,289.5
1,174.3
789.9
1,725.68,078.07,751.43,584.52,479.4
757.0
1,706.1
326.6
17,1422,805.5
14,336.112,168.45,017.02,084.3
450.3790.7
4,323.5
2,827.91,574.52,167.7
780.4
12,5891,811.0
357.9
114.8
1,338.310,778.41,824.68,953.8
5,4471,229.9
782.5
2,259.6
85.62,119.01,439.7
654.1
25.2
16,6946,882.11,160.8
858.1
1,286.9
1,171.8
789.3
1,730.78,081.67,755.23,595.92,479.1
752.8
1,701.4
326.4
17,1782,825.0
14,353.212,183.65,027.02,085.3
451.5796.6
4,329.6
2,827.01,571.52,169.6
780.5
12,6111,805.4
355.6
114.5
1,335.310,805.11,825.98,979.2
5,4511,229.4
784.8
28256.7
84.72,127.21,443.8
658.3
25.1
16,7756,902.71,161.2
858.1
1,292.0
1,174.2
793.7
1,731.38,140.97,813.83,333.82,508.0
765.7
1,711.2
327.1
17,1862,810.3
14,375.412,202.85,035.02,090.9
451.1796.8
4,337.8
2,830.01,571.62,172.6
782.5
12,6501.808.4
357.0
113.6
1,337.810,841.1
1,830.39,010.8
5,4571,233.7
786.9
2.250.9
84,32,126.81.444.0
657.8
25.0
16,7966,907.31,161.5
787.6
2.253.9
83.62,134.31.449.7
659.0
26.6
16,8436,928.51,161.8
856.6
1,295.7
1,175.5
795.5
1,731.58,156.77,831.83,645.72,506.1
754.11
1,712.6
324.9
17,2102,814.0
14.396.012,216.25,041.62,093.2
452.6798.8
4,344.6
2,830.01,572.32,179.8
785.1
12,6621,805.8
357.8
115.8
1,332.210,856.0
1.826.69.029.4
5.4591,235.6
862.7
1,300.8
1,178.3
798.8
1,733.48.181.17,858.13,666.02,520.7
754.9
1,715.9
323.0
17,2432,814.0
14,429.112,240.95,054.22,103.6
453.6797.9
4,354.2
2,832.51,571.42,188.2
788.6
12,7231,823.9
361.1
116.8
1,346.010,899.01,830.19.063.9
5S4721,239.9
787.6
2,253.6
84.62,136.41,454.6
655.8
26.0
16,8516,929.11.163.3
851.4
1,303.9
1.178.2
801.9
1.734.18,187.97,866.83,667.92.517.7
753.3
1,722.4
321.1
17,2892,822.2
14.467.212,272.15,069.72,114.4
455.3798.8
4.362.6
2,839.81.572.72,195.1
788.0
12,7361,824.9
361.7
117.3
1,345.910,911.1
1,830.39,080.8
5,4681,241.4
786.2
2,254.0
85.92,145.61,461.3
658.9
25.4
16,9086,952.71,163,2
858.5
1,310.8
1,182.8
808.1
1.736.88,218.17,894.73,686.22,527.5
750.0
1,731.8
323.4
17.3322,834.1
14,498.312.296.85,081.82,118.3
456.1803.5
4,372.9
2,842.11,574.12,201.5
793.7
12.7601,832.3
364.1
117.7
1,350.510,928.0
1,826.89.101.2
5.4831,245.6
786.9
2,255.9
86.02,157.71,470.9
661.2
25.6
16,9416.975.61.165.3
859.7
1,316.0
1.185.0
814.3
1.738.18,227.17,899.83,683.22,525.1
748.0
1,741.0
327.3
17,3532,827.1
14,525.912,326.05,096.22,124.1
458.7804.9
4,381.1
2,848.71,575.82,199.9
789.6
12,7931,835.3
366.5
117.4
1.351.410.957.4
1,826.79.130.7
5,4841,245.8
57
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ESTABLISHMENT DATAEMPLOYMENTSEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted-—Continued
(In thousands)
Industry2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP JulyP
Other services-ContinuedPersonal and laundry servicesMembership associations andorganizations .
GovernmentFederal
Federal, except U.S. Postal ServiceU.S. Postal Service
State governmentState government educationState government, excludingeducation
Local governmentLocal government educationLocal government, excludingeducation
1,278.0
2,932.8
21,5862,726
1.939.2786.44.976
2.241.4
2,734.413,884
7,757.8
6,126.6
1.276.9
2,937.9
21,6452,730
1,945.5784.34,987
2,249.4
2,737.813,928
7,785.7
6,142.2
1,271.5
2,937.9
21,6772,730
1,946.8783.45,000
2,263.7
2,736.413,947
7,793.2
6,153.4
1,267.8
2.938.1
21.7002,723
1,940.1782.55,007
2,268.4
2,738.213,970
7,810.8
1,271.6
2,942.3
21.7062,728
1,946.4781.45,015
2,271.3
2,743.413,963
7,806.3
1,276.8
2,940.6
21,7002,706
1,939.5766.45,020
2,277.9
2,741.913,974
7,810.8
1,280.4
2,941.4
21,7102,717
1,937.2780.25,025
2,280.4
2,744.413,968
7,808.8
6,159.3 6,156.7 6,163.1 6,159.2
1,280.5
2,942.9
21,7332,720
1,939.8780.15,027
2,283.0
2,744.413,986
7,820.7
6,165.1
1,282.2
2,940.8
21,7312,724
1.943.2780.85,024
2,280.8
2,743.213,983
7,813.5
6,169.0
1,286.9
2,945.6
21,7452,718
1,937.1780.75,026
2,281.2
2,745.114,001
7,823.9
6,177.4
1,284.4
2,942.4
21,7542,722
1,940.8781.25,023
2,277.6
2,745.514,009
7,823.5
6,185.9
1,285.0
2,952.5
21,7562,721
1,940.7780.55,021
2,275.0
2,746.214,014
7,826.1
6.187.9
1,284.4
2,954.2
21,7822,724
1.943.9779.85,021
2,273.1
2,747.614,037
7,844.4
6,192.2
11ncludes other industries, not shown separately.2 Includes motor vehicles, motor vehicle bodies and trailers,and motor vehicle parts.3 Includes ambulatory health care services, hospitals, andnursing and residential care facilities.
p = preliminary.NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduced with the release ofJanuary 2006 estimates, all seasonally adjusted data from January 2001forward are subject to revision.
58
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ESTABLISHMENT DATAEMPLOYMENT
SEASONALLY ADJUSTED
B-4. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry sector and selected industrydetail, seasonally adjusted
(In thousands)
Industry2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP JulyP
Total private
Goods-producing. .
Natural resources and mining...
Construction
Manufacturing..
Durable goodsWood productsNonmetallic mineral products..Primary metals .................Fabricated metal productsMachineryComputer and electronicproducts ...Electrical equipment, andappliancesTransportation equipment..Motor vehicles and parts?......
Furniture and relatedproductsMiscellaneous manufacturing.
Nondurable goodsFood manufacturing...Beverages and tobaccoproducts...............
Textile millsTextile product millsApparelLeather and allied productsPaper and paper products.......Printing and related supportactivities....Petroleum and coal products..Chemicals.......Plastics and rubber products...
Private service-providing.
Trade, transportation andutilities
Wholesale trade..
Retail trade..
Transportation aridwarehousing
Utilities.
information
Financial activities...........
Professional and business
services
Education and health services..
Leisure and hospitality......Other services
89,087
15,848
443
5,303
10,102
6,144445.1390.5365.1
1,113.7731.9
665.8
308.01,242.5
880:5
444.8436.2
3,9581,187.1
107.4195.4142.8222.6
33.9377.5
461.478.3
521.3630.0
73,239
21,317
4,444.3
12,775.4
3,641.8
455.2
2,400
5,998
13,346
14,775
10,959
4,444
39,262
15,891
446
5,314
10,131
6,180446.1390.6364.3
1,116.9737.7
309.91,269.3
908.3
443.9435.1
3,9511,182.7
107.0194.5142.5223.833.2
377.4
460.978.9
522.0628.2
73,371
21,331
4,453.2
12,781.7
3,643.1
452.8
28407
6,010
13,378
14,821
10,967
4,457
89,371
15,887
448
5,322
10,117
6,172445.7392.0363.5
18117.8733.9
667.0
309.31,265.6
903.3
442.9434.4
3,9451,179.9
107.7193.0142.7222.333.2
376.2
459.479.2
522.7628.8
73,484
21,365
4,464.3
12,781.6
3,665.3
89,648
15,939
445
5,383
10,111
6,172448.9391.6364.2
1,120.2733.6
665.3
307.61,265.3
903.5
442.0433.3
3,9391,178.7
107.4191.8142.8217.133.8
376.1
460.079.2
522.8623.8
73,709
21,402
4,473.2
12,796.7
453.3
2,412
6,027
13,432
14,815
10,981
4,452
3,679.8
452.6
2,421
6,038
13,521
14,871
11,006
4,450
80,781
15,933'
450
5,379
10,104
6,166447.43.91.0363.7
1,120.9732.6
662.8
309.81,281.2
895.9
441.7434.8
3,(1381,1814
109.2190.2143.6214.1
34.5375.1
460.779.5
619.4630.6
73,848
21,4-53
4,483.2
12,82(5.4
3,690.1
454.0
2,421
13,525
14,895
11,044
4.461
89,921
15,957
452
5,408
10,097
6,170449.3389.6363.2
1,121.6731.7
665.9
308.71,266.1
897.6
440.7433.6
3,9271,186.2
108.2188.5142.2213.034.0
374.6
459.078.7
516.2626.7
73,964
21,443
4,490.6
12,810.3
3,687.3
454.8
2,439
6,065
13,557
14,929
11,060
4,471
90,111
15,937
456
5,399
10,082
6,166448.4388.4362.2
1,123.1733.5
672.7
307.91,258.9
890.5
90,376
16,005
460
5,460
10,085
6,178448.2387.2363.4
1.121.6734.0
677.9
308.31,271.3
438.6431.8
3,9161,181.9
106.7186.8142.7210.2
33.8376.7
458.279.1
514.0626.0
74,174
21,512
4,492.9
12,835.4
3,726.3
457.6
2,443
6,075
13,597
14,971
11,096
4,480
902.2
435.5430.8
3,9071,180.1
106.6185.5142.7209.0
33.6376.8
455.679.7
513.5624.3
74,371
21,574
4,506.8
12,873.5
3,736.1
457.5
2,446
6,093
13,663
14,973
11,132
4,490
90,514
16,025
463
5,471
10,091
6,182447.9385.3362.9
1,126.1737.4
683.1
307.21,270.7
897.2
434.7427.1
3,9091,183.1
108.3183.9143.8204.7
33.5378.2
454.779.3
513.3626.1
74,489
21,611
4,520.1
12,886.2
3,747.0
457.7
2,456
6,089
13,706
15,003
11,129
4,495
90,797
16,074
469
5,519
10,086
6,188446.4386.8362.1 |
1,126.8740.5
690.3
304.71.273.3
892.7
432.2424.9
3,8981,178.6
109.0181.2143.3203.5
33.1376.1
455.979.7
514.1623.4
74,723
21,665
4,524.8
12,913.7
3,767.7
459.0
2,474
6,097
13,758
15,033
11,190
4,506
90,892
16,078
470
5,516
10,092
6,198443.0384.1362.1
1,127.7744.4
306.21,278.9
894.7
431.9426.5
3,8941,180.6
110.8180.8144.1200.932.9
376.0
454.879.5
513.2620.7
74,814
21,715
4,541.0
12,941.7
3,773.1
459.3
2,468
6,102
13,770
15,071
11,181
4,507
91,073
16,085
474
5,529
10,082
6,196445.4385.0361.6
1,128.8745.9
699.2
304.71,266.3
878.2
431.5427.4
3,8861,180.4
111.7179.3143.5200.033.1
373.3
453.978.8
513.8618.6
74,988
21,742
4,546.2
12,965.4
3,771.2
459.4
2,472
6,121
13,822
15,106
11,209
4,516
91,231
16,077
473
5,532
10,072
6,185441.7382.0361.6
1,130.0749.4
702.9
306.51,249.6
858.3
431.0430.0
3,8871,183.2
112.0177.9144.2200.333.3
373.0
452.577.7
513.3619.4
75,154
21,789
4,549.4
3,006.2
3,774.6
459.2
2,475
6,138
13,864
15,131
11,238
4,519
1Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisoryworkers in the service-providing industries.includes motor vehicles, motor vehicle bodies and trailers, and motorvehicle parts.
P« preliminary.NOTE: Data are currently projected from March 2004 benchmark levels. When more
recent benchmark data are introduced with the release of January 2006 estimates, allseasonally adjusted data from January 2001 forward are subject to revision.
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ESTABLISHMENT DATADIFFUSION INDEXESSEASONALLY ADJUSTED
B-5. Diffusion indexes of employment change
(Percent)
Time Span
Over 1-month span:20012002200320042005 :
Over 3-month span:20012002200320042005
Over 6-month span:20012002200320042005
Over 12-month span:20012002200320042005
Over 1-month span:20012002200320042005
Over 3-month span:20012002200320042005
Over 6-month span:20012002200320042005
Over 12-month span:20012002200320042005
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
Private nonfarm payrolls, 278 industries1
49.541.044.450.954.1
53.235.338.352.558.5
53.129.532.747.360.3
59.533.634.540.361.2
22.019.035.139.342.3
32.710.716.142.345.2
22.66.0
12.527.443.5
29.87.1
10.713.145.2
47.735.638.753.461.2
49.837.935.453.860.3
50.929.932.250.462.8
59.531.731.542.164.7
17.319.619.049.444.6
20.811.914.343.542.9
24.48.3
10.129.844.0
32.16.06.0
14.345.8
48.639.735.366.053.1
49.836.533.356.763.7
52.032.031.354.963.7
53.430.232.944.864.2
22.022.019.050.041.1
16.711.312.542.952.4
21.48.37.1
33.342.3
20.86.06.5
13.147.6
32.739.241.467.361.7
42.334.233.569.462.4
45.531.731.362.662.2
49.330.433.548.765.8
17.932.111.965.547.6
14.317.98.9
58.346.4
19.69.58.3
47.039.3
19.06.56.0
19.044.6
42.440.539.464.657.4
38.134.436.575.459.4
43.030.933.164.462.6
48.630.234.252.063.8
40.847.739.959.7
P 56.8
34.239.441.771.2
P 62.8
39.737.437.669.6
P 64.7
45.029.135.156.7
P 60.3
36.742.842.155.4
P 62.8
37.840.637.863.5
P 62.1
38.537.133.667.3
P 64.9
43.332.032.757.4
P 63.8
39.043.039.453.8
37.644.137.456.8
33.638.732.268.9
43.931.333.157.6
Manufacturing payrolls, 84 industries1
16.126.219.660.144.0
14.314.910.769.041.7
14.37.1
11.352.438.7
13.17.18.3
25.642.3
22.631.020.851.8
P 41.1
11.920.210.769.6
P 42.9
11.913.110.757.1
P 43.5
12.53.67.1
34.5P 38.1
13.135.722.660.7
P 53.6
11.025.614.362.5
P 44.0
13.112.54.8
60.1P 42.9
10.74.87.1
43.5P 41.7
15.523.224.448.8
9.523.815.553.6
11.311.310.158.9
11.96.08.3
40.5
37.642.150.457.6
34.737.843.257.4
33.535.340.364.6
39.930.037.160.3
18.528.632.742.9
7.720.218.552.4
10.714.313.158.9
11.94.8
10.745.8
33.639.048.958.6
35.437.146.459.9
34.236.043.762.2
37.829.536.762.1
17.315.535.142.3
12.513.727.444.6
7 18.3
16.750.6
10.17.1
10.748.2
36.941.550.054.7
30.835.848.659.7
33.637.946.459.7
37.132.937.264.6
14.918.539.946.4
11.38.9
31.545.2
7.78.3
19.645.2
8.34.89.5
49.4
37.135.150.554.3
32.036.750.256.3
30.935.149.355.9
34.934.739.264.0
11.916.742.944.6
9.59.5
35.135.7
5.47.7
26.842.9
6.08.3
10.746.4
1 Based on seasonally adjusted data for 1-, 3-, 6-month spans andunadjusted data for the 12-month span.
p=s preliminary.NOTE: Figures are the percent of industries with employment
increasing plus one-half of the industries with unchangedemployment, where 50 percent indicates an equal balance between
industries with increasing and decreasing employment. Data arecurrently projected from March 2004 benchmark levels. When morerecent benchmark data are introduced with the release of January2006 estimates, all unadjusted data (beginning April 2004) and allseasonally adjusted data (beginning January 2001) are subject to revision.
60
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ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
3-6, Employees on nonfarm payrolls by State and major industry, seasonally adjusted
(In thousands)
State2004
June July Aug. Oct. Nov. Dec.
2005
Jan. Feb. Man Apr. May JuneP
Total1
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
Maryland 2
Massachusetts.......MichiganMinnesotaMississippi .............
MissouriMontana.................NebraskaNevadaNew Hampshire .....
New JerseyNew MexicoNew YorkNorth Carolina .......North Dakota
Ohio .......................OklahomaOregonPennsylvaniaRhode Island
South Carolina 3 ....South Dakota.........Tennessee.............TexasUtah
VermontVirginiaWashington............West Virginia .........WisconsinWyoming................
1,903.1303.8
2,365.61,158.3
14,479.0
2,176.41,648.6
423.4674.5
7,503.2
3,885.7581.2587.2
5,808.62,928.2
1,456.51,327.01,796.51,919.5
614.0
2,514.03,182.04,387.62,683.81,122.2
2,696.3413.4924.3
1,151.0626.1
4,003.2789.4
8,450.53,817.3
337.5
5,407.91,469.71,595.75,641.7
488.4
1,827.7382.8
2,700.29,474.91,103.9
302.73,582.52,700.5
735.72,802.1
255.0
1,914.1305.1
2,376.31,160.7
14,593.7
2,178.71,650.7
424.1670.1
7,523.7
3,897.8583.1589.0
5,824.22,941.3
1,458.91,329.01,789.71,921.3
613.7
2,519.43,186.64,373.02,683.819121.9
2,690.6413.5927.2
1,158.5627.8
4,005.2791.5
8,455.03,841.9
338.5
5,424.91,471.11,599.65,653.0
489.8
1,832.9382.3
2,697.39,501.61,106.6
303.43,597.12,703.7
736.52,309.6
255.2
1,908.2304.4
2,388.61,160.4
14,585.5
2,180.21,652.1
424.6672.0
7,527.2
3,898.7584.4589.6
5,809.52,930.4
1,457.31,327.41,796.71,921.3
614.5
2,524.83,179.74,399.22,686.61,123.3
2,692.3412.1926.5
1,158.8623.8
4,008.6791.2
8,454.03,856.5
338.8
5,426.81,471.31,600.85,640.6
489.4
1,834.0383.6
2,697.19,492.31,108.1
303.43,594.42,701.3
736.62,815.3
254.8
1,908.4306.1'
2,3951.91.161.2
14,581.4
2,186.61,652.4
42E.il671.2!
7,527.8
3,886.7'585.7'59C.1
5,802.12,938.1
1,457.01,328.41,798.61,913.5.
614.S
2,523.6 |3,180.44,399.02,689,71,126.1
2,694,8412,29257
1,168.2629,9
4,017,9792.6
8,466.53,857,8
339,3
5,42561,474.21,605.75,6466
489 0
1,828.3386.9
2,704.89,492.6
1,910.6303.7
2,401.01,162.5
14,633.6
2,192.81,662.1
425.9672.5
7,560.5
3,895.7589.1590.4
5,806.228944.9
19462.71,330.11.801.01,919.3
614.9
2,529.23,186.24,398.22,690.81,128.2
2,692.9413.9924.1
1,176.1630.7
4,017.8795.1
8,477.93,842.6
339.1
5,415.71,476.41,610.65,661.0
489.2
1,832.7384.7
2,712.69,513.6
1,109,9 i! 1,110.7
304.13,599.42,707.4
737.72,814.5
254.6
305.13,616.42,710.3
739.82,816.0
255.9
1,912.8304.0
2,413.01,162.9
14,656.4
2,196.21,664.5
427.0673.1
7,585.6
3,900.1591.4591.0
5,806.32,946.2
1,461.81,332.71,800.71,920.3
615.7
2,535.53,186.64,390.12,691.41,129.9
2,698.2416.9923.9
1,180.0631.0
4,028.4796.9
8,483.63,851.2
338.3
5,418.11,478.11,614.05,662.4
489.3
1,833.0384.7
2,714.39,526.81,113.2
305.43,621.32,717.8
737.52,819.3
257.3
1,914.4304.3
2,414.81,164.1
14,645.5
2,203.41,664.6
429.0673.8
7,608.6
3,906.6591.3591.5
5,812.72,943.6
1,461.81,334.21,802.71,916.9
616.2
2,540.93,188.14,386.82,697.01,127.6
2,706.6419.4926.1
1,187.1632.7
4,032.2799.1
8,491.53,856.7
337.9
5,414.61,483.81,616.25,665.9
490.2
1,832.1384.4
2,716.49,530.61,116.1
306.63,623.52,722.4
736.82,812.1
257.7
1,917.9307.6
2,423.31,165.4
14,654.0
2,202.41,661.0
430.9674.6
7,643.9
3,892.3587.9591.5
5,809.82,956.5
1,458.51,320.91,802.41,926.5
615.7
2,542.53,190.04,376.22,694.91,131.3
2,691.0412.4930.3
1,190.1632.9
4,030.5799.7
8,488.83,846.1
338.1
5,406.71,483.81,621.35,676.0
491.1
1,835.3385.1
2,717.49,553.31,124.4
305.43,629.32,723.8
741.12,811.2
259.2
1,920.2305.0
2,431.21,165.8
14,681.7
2,212.81,664.2
432.7675.3
7,662.8
3,905.1591.7595.5
5,814.82,963.0
1,459.51,332.01,803.61,924.8
617.4
2,546.83,191.14,387.12,696.11,136.7
2,699.9413.9929.8
1,195.3631.0
4,037.2799.4
8,489.53,850.8
340.2
5,411.01,487.91,632.95,673.5
492.0
1,834.9385.9
2,720.69,553.51,128.7
305.83,630.52,733.7
740.32,815.2
259.9
1,924.7307.0
2,438.11,168.3
14,702.7
2,218.01,666.7
432.5674.5
7,679.7
3,911.2592.9598.3
5,831.12,966.6
1,462.21,337.71,807.41,931.5
816.3
2,549.73,195.34,368.12,698.21,136.1
2,709.1416.3934.2
1,201.7634.5
4,038.0802.1
8,497.83,857.1
341.0
5,416.11,490.81,640.15,680.4
492.3
1,832.6387.4
2,720.59,563.31,134.9
305.23,625.72,744.0
742.52,818.5
260.1
1,927.4307.8
2,447.11,168.4
14,721.0
2,215.91,669.6
430.4679.4
7,699.3
3,913.4594.3602.6
5,848.82,968.21
1,469.11,341.51,815.11,933.4
618.6
2,554.13,200.84,380.22,704.51,138.9
2,713.6417.2934.5
1,215.2636.7
4,047.3804.7
8,506.03,871.4
343.8
5,427.01,493.81,640.95,692.3
493.0
1,831.5'388.4
2,725.89,574.41,137.6
305.73,627.82,748.1
743.22,823.7
260.9
1,928.9308.5
2,456.01,168.2
14,736.9
2,218.01,669.8
432.6683.0
7,712.8
3,911.3595.1607.7
5,852.82,962.3
1,470.41,344.41,816.71,932.4
618.0
2,561.03,200.94,369.02,707.71,136.9
2,720.0418.5934.7
1,220.1639.8
4,052.7807.6
8,510.63,879.3
343.7
5,428.71,491.11,638.25,697.1
494.3
1,829.3
2,722.89,577.71,137.8
308.13,625.02,750.1
743.92,827.8
261.1
1,936.6310.1
2,463.21,171.8
14,752.5
2,225.51,670.8
432.2684.0
7,731.3
3,903.4595.7611.5
5,859.52,971.5
1,476.11,345.11,821.21,933.9
618.4
2,572.83,205.84,373.92,718.41,136.3
2,730.7421.0935.5
1,224.4637.9
4,056.1805.3
8,525.13,890.5
342.6
5,429.41,493.71,642.15,703.6
495.0
1,831.2
2,722.79,590.41,141.7
308.53,638.02,757.7
747.22,828.8
261.2
See footnotes at end of table.
61
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 68: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/68.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. | May | JuneP
Construction
Alabama ..AlaskaArizona ....Arkansas..California .
ColoradoConnecticutDelaware4
District of Columbia4.Florida
Georgia ...Hawai i4 . . .IdahoIllinoisIndiana
Iowa .
Kentucky..Louisiana .Maine
Maryland 4
Michigan ....Minnesota ..Mississippi .
MissouriMontanaNebraska4
NevadaNew Hampshire .
New JerseyNew MexicoNew YorkNorth Carolina .North Dakota ...
OhioOklahomaOregonPennsylvania .Rhode Island .
South Carolina.South Dakota...
Texas.Utah ...
VermontVirginiaWashington....West Virginia .WisconsinWyoming
102.017.7
188.951.7
845.1
149.965.826.312.3
491.5
198.529.239.6
267.7148.7
68.563.183.3
116.930.9
177.8138.9190.8128.249.2
137.624.648.6
116.829.7
166.049.9
319.5215.8
17.5
235.662.182.9
248.120.7
114.419.7
117.4540.273.0
16.7230.6163.534.7
126.119.3
104.318.0
190.951.7
857.1
150.665.826.512.3
494.0
199.329.439.8
266.1149.0
68.563.683.4
115.830.8
178.5138.9191.6125.249.4
138.025.048.6
119.929.9
165.651.0
317.8217.0
17.4
234.462.183.3
248.320.6
113.319.9
117.2541.3
74.0
16.7231.7164.334.7
126.019.3
102.517.7
192.151.5
854.8
150.266.126.612.0
495.7
198.429.439.9
263.7147.3
68.063.782.7
114.030.8
178.6138.7190.2126.049.4
137.625.048.2
120.229.8
166.450.4
317.9219.1
17.2
234.561.782.2
247.020.6
112.819.8
116.8538.7
73.6
16.7231.1164.334.6
126.818.6
102.317.8
192.751.6
860.4
151.366.526.712.1
497.0
196.429.639.9
264.4147.9
68.564.182.7
113.630.6
179.3138.7190.5126.349.5
138.125.048.2
122.429.9
167.150.9
318.9218.3
17.2
235.162.483.4
249.020.6
111.119.9
116.9539.773.9
16.7232.1164.334.2
125.418.3
105.717.7
195.052.1
860.2
152.267.626.812.0
499.5
199.930.540.0
264.3149.5
68.564.383.5
116.430.9
178.7140.0190.9126.750.1
138.625.147.3
124.430.2
168.750.7
318.2220.8
17.2
236.362.284.0
250.820.8
112.819.7
118.1542.5
73.7
16.7233.9164.534.5
125.918.6
106.317.9
197.152.2
865.8
154.068.126.712.2
501.6
198.830.540.5
267.3149.6
68.665.083.9
116.830.8
179.7139.3190.1128.149.5
139.525.747.0
124.430.1
170.050.6
319.7218.7
17.0
236.962.384.3
249.320.9
111.619.5
117.6542.9
73.2
16.7234.8165.034.4
125.819.0
106.518.0
198.052.1
870.3
156.268.127.012.0
504.9
198.530.640.7
265.9149.3
69.565.384.9
116.731.0
179.5139.8188.3127.849.3
139.725.847.5
125.630.1
170.351.5
320.1219.8
16.9
236.863.384.2
249.321.0
110.919.9
118.4542.9
73.1
16.7236.5165.134.4
125.819.0
107.018.1
199.251.9
870.2
155.667.527.712.0
511.3
197.730.640.7
263.1150.8
68.062.185.2
117.931.2
179.4140.1192.2126.049.2
136.725.246.8
126.929.9
167.751.9
320.3223.0
16.7
234.663.184.7
249.420.8
111.619.9
120.0543.4
75.1
16.8239.9164.436.1
127.119.0
107.218.2
201.352.0
882.7
157.867.728.112.1
509.4
199.530.841.4
264.1152.3
67.863.285.7
117.231.8
178.4140.0190.9126.049.5
138.125.648.3
129.030.0
167.051.8
320.8222.2
17.3
234.762.786.0
248.721.1
112.019.7
119.6542.976.2
17.0237.3167.936.7
131.819.3
107.118.2
205.752.6
887.3
159.168.828.212.2
510.9
199.531.242.7
268.8153.7
68.466.186.7
119.932.1
178.5141.3189.6125.349.1
140.026.150.3
130.130.4
166.252.8
321.4222.8
17.0
236.462.688.1
249.821.0
111.820.9
119.9544.2
77.3
17.2237.9170.536.8
131.519.5
106.118.5
208.052.9
888.6
158.770.828.012.3
512.7
199.331.643.4
269.2154.0
69.166.387.2
120.931.6
179.2142.5190.2127.049.6
141.125.249.0
132.431.0
166.553.2
324.4224.5
18.4
237.762.689.0
253.621.2
112.221.5
119.7547.9
78.5
17.8239.3171.337.6
133.319.6
105.018.1
208.952.9
891.0
159.870.627.712.4
517.1
198.231.844.3
269.7152.7
68.365.987.3
118.931.9
179.9142.8189.2129.249.8
141.825.548.8
133.830.8
166.553.5
322.8225.6
18.0
237.562.789.0
255.821.4
111.021.4
119.8549.4
79.7
17.9238.8172.437.9
131.720.4
104.818.0
211.353.1
160.071.227.812.5
519.0
199.031.945.6
269.0154.4
68.365.687.2
118.131.7
180.2143.9189.4128.450.3
140.325.748.8
135.730.6
166.153.3
323.3226.7
17.4
236.463.489.7
256.421.2
111.221.3
119.6549.4
79.5
18.2239.6173.138.2
133.520.4
See footnotes at end of table.
62
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 69: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/69.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6* Employees on nonfarm payrolls by State and major industry, seasonally adjusted—-Continued
(In thousands)
State
AlabamaAlaskaArizonaArkansas . .. /California
ColoradoConnecticutDelaware .....District of ColumbiaFlorida .
GeoraiaHawaiiIdaho . . ........IllinoisIndiana . ......... . . .....
iowaKansasKentucky ....Louisiana .. .Maine
Maryland ......... .MassachusettsMichiganMinnesotaMississippi . . . . . . . .
Missouri ....... .Montana......................NebraskaNevadaNew Hampshire .
New JerseyNew Mexico .. ....New YorkNorth Carolina ....North Dakota
Ohio ... . ... .. ....OklahomaOregon .. ...PennsylvaniaRhode Island
South Carolina .South DakotaTennesseeTexas ..Utah ...........
VermontVirginiaWashingtonWest VirginiaWisconsin .......Wyoming
2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Manufacturing
176.5-204.2
1,527.4
154.6197.5
( 5 ) .
389.9
15.461.7
697.0572.5
222.9175.7264.2152.363.2
142.4313.5695.6342.5179.9
313.619.1
100.7
80.2
338.036.0
597.1577.624.7
823.0
199.8691.257.1
888.6115.0
36.9299.3262.8
62.7501.4t5 )
176.5204.6
1,547.2
155.3198.1
391.0
15.561.9
699.5569.6
224.6177.3258.2152.063.3
143.6316.8676.3343.0179.5
309.719.2
100.8
80.3
340.335.8
596.4582.625.4
826.0C 5 )200.8694.8
58.2
• ( 6 )
891.8115.4
37.0301.9264.1
62.9502.7
175.7204.1
1,538.5
155.2197.3
390.3
(5)15.561.8
697.2572.4
222.6176.8264.6151.363.0
143.2315.0696.9342.7179.9
313.019.2
100.6
80.7
337.835.6
595.0581.3
25.6
825.0C 5 )200.8692.256.9
( 5 }
890.5115.5
37.2299.0262.9
62.8503.1C5)
17SM32oae
1,5311.211
155.1197.0
38B.8
61.7696.B57SU
224.0177'.0264A150.962 .S
142.&313.£695.7344.4179.6
312.6.19.2
100.4
80 .&
338.235.6
593.7580.624.8
825.2
200.8690.756,6
( 5 )( 5 )
888,91156
37,4298,,6!• 263.5 i
62.7502.6
175.6204.0
1,534.5
154.8197.7
385.7
15.461.3
698.7575.4
224.6177.6265.5151.663.1
142.4313.4693.4347.5178.7
313.219.099.6
81.1
338.135.8
591.0579.124.7
826.7
201.5690.256.7
890.9115.1
37.2300.6263.3
62.9503.5
175.6204.2
1,533.9
154.6197.7
386.0
15.560.9
699.2574.4
224.7178.2264.7151.763.3
142.1312.9685.3346.9178.9
313.318.8
100.2
81.0
337.636.5
589.8580.924.6
826.6
201.7690.256.6
( 5 )
889.3116.0
37.1299.5265.162.7
504.0
175.4203.9
1,535.1
154.8197.9
385.3
15.661.0
699.7575.0
224.2178.5264.2151.363.0
142.2312.7690.4347.9178.9
314.719.2
100.5
81.0
337.036.5
589.8579.024.4
827.8
201.8689.256.4
887.3116.7
37.1299.7265.7
62.5503.0
176.3203.3
1,538.1
155.0197.6
<*)
388.0
15.760.7
694.6575.3
224.7180.0264.6151.862.5
140.5312.7680.9347.2178.7
310.019.196.8
81.0
335.036.1
589.9576.224.5
824.5
202.4687.956.3
885.6116.7
37.1299.0266.662.8
500.6
177.3202.9
1,535.8
154.7198.9
388.0
15.661.2
693.3575.7
224.8179.8264.5151.262.4
140.5313.3689.2347.6178.9
314.019.398.9
80.9
333.935.7
588.7575.924.6
823.1
204.6686.256.5
( 5 }
886.5116.8
37.4298.4266.462.7
504.0
177.3203.2
1,532.9
154.2198.9
388.8
15.662.0
693.0576.3
224.9179.1265.1151.362.2
140.3312.0676.9347.8179.4
315.619.599.3
8Q.9
332.435.8
586.3575.724.9
823.7
206.1685.655.9
888,3117,4
37,429842674
626506.4
176.4203.4
1,532.6
153.4198.7
388.6
(5 )15.362.6
690.0574.0
225.5179.0266.0151.762.2
139.6312.7630.3347.5179.5
315.619.699.2
80.7
331.535.6
532.6575.225.2
823.1
205.2684.7
55.2
( 5 }
889.3117.6
37.2298.2267.5
62.8502.6
176.2202.6
1,533.3
153.6198.2
390.7
15.363.0
690.1572.9
225.4178.8266.4151.062.0
139.1312.7680.7347.2179.4
315.319.799.3
80.5
329.835.8
580.7578.925.7
822.4
204.5684.754.9
888.3117.2
37.2293.3267.762.9
503.6
( 5 )
176.1202.3
1,533.6
153.6198.0
I 5)393.5
15.263.1
691.7571.8
227.0178.5265.4150.761.8
139.1312.3671.4348.3179.4
315.319.299.8
80.7
329.436.1
578.1578.325.8
819.8
205.8682.955.1
( 5 )
887.9117.6
37.5298.5268.264.0
503.5
See footnotes at end of table.
63
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 70: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/70.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. | Apr. May |May JuneP
Trade, transportation, and utilities
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisianaMaine
MarylandMassachusettsMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew YorkNorth CarolinaNorth Dakota
OhioOklahomaOregonPennsylvaniaRhode Island
South Carolina ....South DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
377.062.2
( 5 )241.5
2,747.9
407.7308.0
80.9( 5 )
1,501.1
829.3112.3118.0
1,181.2577.4
305.0263.5372.8380.7125.6
470.1573.0811.1524.3220.2
534.686.3
196.0205.0139.9
877.4137.7
1,485.0725.172.9
1,037.8276.6320.4
1,121.680.2
353.177.0
585.91,941.2
219.3
648.8519.4136.4541.249.2
376.962.3
( 5 )242.0
2,764.0
408.5308.9
81.0( 5 )
1,497.8
831.7112.3118.4
1,181.2579.4
306.6262.0371.5380.0125.6
467.8574.1811.8522.4219.9
534.686.3
196.5203.8140.6
871.4138.1
1,490.4725.572.9
1,039.3275.2320.9
1,124.179.9
353.377.3
586.31,946.8
219.6
647.6519.4137.0539.549.3
376.362.1
( 5 )241.8
2,763.8
408.2308.7
80.8( 5 )
1,500.4
830.7112.5118.1
1,180.6578.2
306.4261.8372.0379.3125.8
467.4573.4810.5523.1219.8
533.586.0
197.0203.3140.8
874.7137.7
1,489.1724.172.7
1,039.0274.2321.5
1,122.679.7
353.577.3
582.91,948.3
219.6
647.1520.6137.2540.449.1
375.762.3
( 5 )241.7
2,761.9
408.2308.9
80.9( 5 )
1,499.5
825.2113.0117.7
1,180.2576.1
305.8259.8372.2378.0125.7
466.2574.3809.7525.2219.7
533.485.8
197.3203.3141.1
877.0137.7
1,488.0723.5
72.8
1,038.2273.6321.3
1,121.679.5
353.277.1
587.21,943.7
220.0
646.2520.7137.2542.249.0
376.761.9
241.82,771.3
408.5313.881.0
1,504.3
826.3114.6117.7
1,179.9575.6
307.3259.8373.1379.6126.0
467.4573.9807.3526.0220.2
534.585.5
198.1206.0140.6
878.2137.4
1,493.1723.7
72.6
1,035.0274.2323.1
1,124.779.5
353.276.9
590.11,950.3
220.6
652.1522.6137.8542.3
49.6
375.862.4
( 5 )241.7
2,780.8
409.2312.9
81.8( 5 )
1,506.0
825.6114.3118.4
1,180.3575.7
307.8258.7373.2380.9126.5
468.3573.4808.4527.0220.1
535.985.9
198.4208.4140.8
877.8137.7
1,493.3725.9
72.3
1,038.3274.3323.4
1,125.879.4
352.876.8
588.01,953.3
221.0
652.9525.9137.4544.249.7
375.962.61
( 5 ) '242.5
2,778.9
410.0311.782.5
( 5 )1,508.2
825.4114.4119.0
1,180.9575.6
308.0258.8372.7380.6126.7
470.9572.8808.7528.9220.0
539.586.0
198.3210.7140.9
878.1137.8
1,494.2725.3
72.5
1,037.8275.2324.5
1,127.179.3
354.277.2
585.91,954.3
221.7
652.6528.9137.4543.949.8
377.762.0
( 5 )241.8
2,768.0
412.5309.781.5
( 5 )1,517.9
822.6113.8117.8
1,172.9578.0
305.8258.8372.8382.4126.6
472.1575.2815.1530.1220.2
533.485.6
198.5209.0140.8
882.8137.9
1,484.5718.3
72.5
1,033.9276.4327.9
1,126.778.9
353.777.9
592.01,959.0
224.1
()655.0528.3138.1540.3
49.6
379.361.7
( 5 )242.3
2,7(53.4
414.2310.8
82.3( 5 )
1,524.0
820.7115.0118.2
1,175.4578.0
305.7259.7372.6381.2127.0
474.0574.3816.3527.5221.8
534.085.8
199.1209.9140.5
885.3138.0
1,487.8723.673.1
1,032.1276.8329.6
1,126.578.6
354.577.7
592.61,955.8
223.9
(656.6532.8137.8540.649.8
380.761.9
()242.2
2,769.4
413.6312.1
81.3( 5 )
1,529.1
823.7115.3118.7
1,179.1579.8
305.9259.8372.6382.1126.2
473.3574.0812.9527.5222.3
536.486.5
200.8210.4141.4
887.4138.4
1,489.1724.1
73.4
1,033.7277.7330.4
1,127.979.2
355.778.3
593.11,956.7
224.7
()655.6532.1138.5539.2
49.8
382.162.2
( 5 )242.5
2,766.8
414.1313.1
81.1( 5 )
1,529.7
822.0116.3119.1
1,184.5580.0
307.2259.9373.4382.6126.2
473.7573.9814.8526.3223.4
535.986.8
200.8211.3142.5
138.31,491.5
727.773.7
1,032.0277.6330.6
1,127.979.8
356.0178.5
594.11,960.6
224.0
()656.6530.6138.1540.5 i49.7 i
383.663.3
( 5 )242.8
2,766.8
412.5313.582.0
( 5 )1,530.3
826.9117.2120.4
1,187.4580.6
308.2261.4374.4381.2126.5
474.4575.0811.3525.9221.8
539.487.5
202.1211.5143.0
891.9138.5
1,493.2730.3
74.1
1,030.1276.3329.3
1,128.779.5
355.779.2
593.91,961.5
224.3
659.5530.3137.9541.849.9
383.063.2
( 5 )243.0
2,768.8
412.0314.0
82.2( 5 )
1,533.7
824.3117.0121.1
1,187.4583.3
308.3260.8374.2383.8126.6
474.2575.9815.2527.1222.3
537.687.4
200.2211.7143.1
891.7138.4
1,496.0729.674.0
1,030.1277.0330.1
1,129.379.5
355.379.2
593.41,963.7
225.3
()658.3530.2138.0540.7
50.0
See footnotes at end of table.
64
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 71: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/71.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted-—'Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May I JuneP
Financial activities
AlabamaAlaskaArizona ............ArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaiiIdahoIllinoisIndiana...................
SowaKansasKentuckyLouisianaMaine
MarylandMassachiMichiganMinnesotaMississippi
MissouriMontanaNebraskaNevadaNew Hampshire
New JerseyNew MexicoNew York...North CarolinaNorth Dakota
OhioOklahomaOregonPennsylvania ...Rhode Island
South CarolinaSouth DakotaTennesseeTexasUtah
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming..
96.314.6
164.451.0
896.5
154.7140.544.7
( 5 )502.4
217.2
()399.1140.0
96.6( 5 )
87.3102.935.1
154.8220.2217.6177.05
163.821.262.961.437.4
277.734.5
699.0( 5 )
18.7
312.784.396.8
336.534.3
92.627.8
141.3593.05
()189.1151.930.6
158.1C 5 )
96.614.4
164.751.0
907.0
155.1140.644.8
( 5 )502.5
218.4
()399.7140.0
97.0( 5 )
87.5103.034.8
155.1220.7217.8176.0
C 5 )
163.121.262.962.337.6
278.734.7
704.1( 5 )
18.5
311.784.096.8
336.734.2
93.827.8
141.6594.55
)189.5151.430.6
157.4C 5 )
96.514.6
164.951.1
907.7
155.1140.644.9
( 5 )503.0
218.3
()399.6140.0
97.2( 5 )
87.5103.034.9
155.3220.1217.7175.4
163.421.263.061.937.7
278.634.6
703.7( 5 )
18.5
311.984.297.0
335.934.2
94.227.9
141.8595.3
C 5 )
C 5 )189.7151.330.5
157.75
96.514.6
165.151.1
908.2
155,8140744,8
( 5 )503.3
218.3
()3999139 7
971( 5 )
871102 834.7
155.3219.5218.4175.4
163.421.263.161.937.7
278.634.8
703.4( 5 )
18.5
312.184.496.9
335.334.2
94.227.9
141.5596.75
I
(189.8151.330.4
157.0-5
96.414.6
165.451.1
911.2
156.7140.844.8
( 5 )503.0
218.9
399.7139.9
97.0( 5 )
86.2103.234.3
155.7218.7218.2174.95
164.721.063.362.138.0
279.534.9
704.8( 5 )
18.6
312.384.796.7
334.834.0
94.128.0
142.1597.9
C 5 )
( 5 )189.7151.530.4
157.05
96.214.9
165.151.1
913.5
157.5140.444.7
( 5 )505.0
218.4
()399.5140.5
97.0( 5 )
86.0102.934.4
156.0219.0218.7174.65
165.321.063.261.638.2
280.234.9
704.8
18.6
312.684.697.2
335.134.0
93.528.2
142.8598.5
()189.8152.030.4
157.05
96.014.6
165.451.2
916.4
158.6140.844.7
( 5 )507.1
219.4
()399.5141.4
97.4( 5 )
86.1103.034.5
155.8219.4218.7175.15
165.821.263.462.838.2
280.835.0
706.2( 5 )
18.7
313.584.797.6
335.534.4
93.528.2
143.1599.55
190.1152.430.3
157.45
95.414.6
165.451.5
917.8
156.2140.744.7
( 5 )507.4
221.8
140.3
97.9( 5 )
85.7103.134.5
157.4218.7218.4177.8
165.421.163.463.238.4
280.335.1
706.2( 5 )
18.8
313.584.498.1
335.235.0
93.128.8
144.0599.95
()190.8151.430.4
156.95
95.514.7
165.651.9
917.2
156.6141.244.8
( 5 )508.5
220.5!
()398.6140.5
98.0( 5 )
85.6103.834.7
157.5219.4217.8178.15
165.621.263.863.538.6
281.235.0
707.5
18.6
313.784.898.3
334.935.2
93.128.8
144.0600.3
( 5 )
191.0151.730.0
157.7
95.515.0
165.652.0
917.4
156.9141.344.4
( 5 )508.5
220.5
()400.5141.1
98 4( 5 )
85 0104.134.5
158.1219.6218.3178.85
165.621.364.264.038.7
281.035.3
710.0
18.8
313.185.698.2
335.235.3
93.128.8
143.8600.8
191.3152.230.2
158.4
95.615.1
166.952.0
915.9
157.1141.344.4
( 5 )511.7
220.7'
()400.5 J140.9
98.7( 5 )
84.8104.5J34.51
158.2219.9218.1178.9j
( 5 ) I166.321.464.464.538.7
281.635.4
707.7<5>
18.9
311.685.798.6
335.2135.2!
93.3|28.1'
143.6599.95
(192.3152.729.8
158.25
95.815.0
168.052.0
916.2
157.8141.144.4
( 5 )511.1
220.8
!()401.7142.5
99.1( 5 )
85.6103.934.3
158.4219.9217.8179.45
167.021.363.964.838.4
281.635.3
707.4
18.8
312.385.598.3
335.935.5
93.328.1
143.7601.8
( S 5
193.4152.729.8
158.55
95.915.0
168.952.1
917.8
158.1141.144.9
( 5 )514.0
220.8
()403.6142.1
99.3( 5 )
85.8104.434.2
158.5220.5217.8180.55
167.821.864.265.538.5
282.035.2
708.9( 5 )
18.7
312.286.298.3
336.535.4
93.528.3
143.2601.3
193.9153.129.9
158.6
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 72: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/72.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Professional and business services
Alabama .
Arizona ....Arkansas..California .
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaii ..IdahoIllinois....Indiana..
Iowa ....
Kentucky..Louisiana .Maine
Maryland
MichiganMinnesota ....
MissouriMontanaNebraskaNevadaNew Hampshire .
New JerseyNew MexicoNew YorkNorth Carolina ...North Dakota
OhioOklahomaOregonPennsylvania .Rhode Island .
South CarolinaSouth Dakota...Tennessee
Utah .
VermontVirginiaWashingtonWest VirginiaWisconsinWyoming
23.0332.5106.9
2,079.9
299.0197.662.0
144.21,292.7
508.2( 5 )
73.6800.8266.1
107.5( 5 )161.1184.849.7
372.7449.9583.5303.55
307.333.694.4
132.857.0
584.490.2
1,056.6424.5
24.3
623.9160.6177.0634.1
53.1
()302.1
1,089.3138.3
21.1575.5302.2
57.6252.1
15.4
23.3338.1108.0
2,113.8
300.5198.261.7
143.21,299.5
513.3( 5 )
73.8801.1268.6
107.8( 5 )162.3184.649.7
374.2449.1588.5304.1
302.033.694.4
134.157.3
583.290.6
1,055.2430.124.4
627.3161.9177.5634.853.7
303.01,095.3
138.0
21.2580.3304.458.2
250.515.3
23.2338.9107.7
2,113.7
299.9198.061.8
143.41,295.0
510.9( 5 )
73.6797.7268.5
107.4( 5 )162.4184.349.6
373.5449.3589.2305.45
301.633.694.6
133.557.1
582.790.8
1,055.3432.3
24.3
630.9162.1178.0632.954.3
302.71,094.8
137.8
21.2582.1304.0
58.1251.1
15.4
23.7338.5107.4
2,115.3
301.0198.061.7
143.41,292.9
510.2
73.6797.2268.5
106.8
163.8183.649.4
374.8449.7589.1304.3
301.633.694.3
134.056.9
583.191.2
1,054.0434.224.1
632.6162.7178.5633.553.9
()302.4
1,093.7137.1
21.3583.3304.458.2
251.715.2
23.2340.5108.1
2,130.2
302.4199.062.3
142.61,307.4
513.2
73.8800.5269.9
106.3
164.9182.649.7
376.9452.2588.8304.4
300.932.994.8
136.356:6
583.691.3
1,058.7436.1
24.0
632.3163.1179.1636.5
54.3
()303.5
1,093.2138.9
21.3587.1305.3
58.4253.0
15.3
23.3342.3108.2
2,128.3
303.5200.1
62.3142.9
1,314.2
516.7
73.8796.8269.7
106.0
165.1182.149.5
377.3452.9587.3303.6
300.933.294.3
135.756.5
584.291.5
1,059.3437.023.9
632.7163.8179.8638.854.4
305.41,094.6
139.2
21.3589.5305.757.6
253.315.5
23.3343.1108.4
2,130.4
305.0199.562.9
143.81,324.7
519.2
73.5799.3269.6
105.2
166.0181.949.3
377.5454.6584.6303.1
302.633.094.3
137.756.2
585.092.1
1,060.3436.9
23.9
630.0165.1180.0641.2
54.6
<)( 5 )306.1
1,090.2139.9
21.2589.1305.6
57.7249.9
15.2
23.3340.7110.3
2,126.7
304.6197.863.3
142.01,335.2
521.1
74.8794.1270.3
105.7
164.0185.249.1
378.0454.3571.6298.7
299.632.794.8
139.255.2
578.491.7
1,057.0430.9
23.9
627.2165.8180.1644.8
54.9
()305.5
1,097.3141.1
21.2589.1305.7
57.9247.3
15.1
23.3343.6109.9
2,135.4
307.6198.163.3
143.31,339.2
520.4
75.4800.2272.0
106.3
164.4185.849.6
380.9455.7573.0302.6
302.233.294.9
138.355.2
581.491.6
1,058.4435.324.0
633.7165.3181.7648.555.2
306.91,103.1
141.8
21.2592.1308.1
58.1248.3
15,4
23.8343.0109.5
2,135.7
309.4198.063.4
144.31,343.7
519.3
75.5806.1272.5
106.7
165.2185.0
383.3455.4572.8301.95
304.333.795.8
140.255.9
583.191.8
1,061.4439.4
23.9
638.0166.3181.9648.2
55.3
( * )( 5 )304.5
1,106.5143.6
21.2590.4310.5
58.1249.9
15.3
23.9346.6109.4
2,141.1
306.7197.963.4
145.91,350.3
519.0
76.5822.3272.9
107.6
167.4185.849.9
385.0460.2569.0304.9
306.033.995.5
143.156.4
584.892.0
1,066.1443.0
24.3
642.8167.7180.8649.7
55.5
305.51,107.9
145.5
21.6590.1312.4
58.2252.3
15.5
23.5345.0108.6
2,140.2
307.0197.663.2
147.01,350.2
514.8
77.2823.4271.6
107.2
167.4187.050.1
387.3458.4569.4307.1
303.834.196.1
143.856.5
589.292.2
1,073.2441.0
24.6
641.6166.8179.2648.855.7
302.71,101.7
145.6
21.7584.6312.7
58.2251.5
15.6
()23.6
348.1108.8
2,145.2
309.5198.063.8
147.81,366.8
516.2( 5 )
111828.1272.2
107.2( 5 )168.2187.149.7
391.9459.2577.6309.75
307.134.896.5
146.056.6
586.891.9
1,078.2443.924.8
643.9167.4181.1650.555.4
()303.2
1,102.7146.1
22.0590.0314.658.5
253.716.0
See footnotes at end of table.
66
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 73: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/73.jpg)
ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on oonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Education and health services
Alabama ,AlaskaArizona ...
California .
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida
GeorgiaHawaii ..IdahoIllinois....Indiana..
IowaKansasKentucky..Louisiana .Maine
Maryland
Michigan ....Minnesota ..Mississippi .
MissouriMontanaNebraskaNevadaNew Hampshire .
New Jersey......New Mexico .....New YorkNorth Carolina .North Dakota ...
OhioOklahoma ......Oregon ...»Pennsylvania .Rhode island .
South Carolina 3 .South Dakota......
Texas.Utah ...
Vermont ...,VirginiaWashington....West Virginia .WisconsinWyoming
34.6259.2142.6
1,558.6
218.1( 5 )
51.7C 5 )916.3
67.1( 5 )726.7366.4
191.5( 5 )230.9252.0111.1
346.5581.9550.9377.55
358.954.2
128.4
546.1102.3
1,518.5444.4
48.4
744.4178.9192.4994.292.8
181.256.6
( 5 )1,141.2
123.3
380.0319.9110.8374.55
34.6256.9142.8
1,564.2
218.4( 5 )
51.8( 5 )918.6
( 5 )67.2
( 5 )728.3368.6
191.5( 5 )231.4253.6111.1
348.1584.2552.8379.6
5
358.754.6
129.7!
548.2102.4
1,520.6450.9
48.9
744.8178.8193.9997.7
93.1
184.156.7
( 5 )1,144.2
123.8
381.2319.3111.1376.75
()34.4
261.1142.9
1,565.0
218.9( 5 )
51.7( 5 )920.7
()67.4
( 5 )728.2366.0
191.4( 5 )231.8255.5111.5
349.2583.7553.8379.75
358.754.2
128.8
548.4102.8
1,523.0453.2
48.9
746.2178.0194.4997.993.1
183.556.8
( 5 )1,145.0
124.1
381.6319.6111.1378.05
34.9263.2143.1
1,567.1
219.8
51.9
923.5
67.7
7213.2371.;"
19-1.5
231.6251.5111.6
3413.8583.7
377.11
( 5 )
350.454.9
12B.9
( 5 )
54».J:f102.13:
1,520.1451!..?
40.9
750.2178.2195.0999.1393.4
180.1:!5C5.f:i
1,147.7
124.4.
320.2111.6379.85
34.6264.0144.0
1,567.3
220.8
51.9
926.7
( 5 )68.1
731.9373.5
191.6
231.5253.0112.2
349.4582.7552.1378.8
( 5 )
357.354.7
127.1
( 5 )
550.3103.8
1,530.7449.3
48.9
747.7179.6195.5
1,003.193.2
180.256.7
1,151.3124.3
383.0320.9113.1379.95
34.8265.6144.2
1,570.4
220.8
52.4
930.2
68.3
733.7374.3
192.2
231.7252.7112.4
350.0583.5554.2379.8
358.654.7
127.4
551.8104.2
1,533.7451.5
48.9
748.4180.1196.0
1,003.993.5
180.356.9
( 5 )1,154.0
125.3
384.1321.8113.3380.65
35.0266.4144.7
1,571.1
221.3
52.9
933.4
68.6
731.5374.3
192.4
232.3252.1112.3
350.7584.2552.8382.0
359.954.8
127.6!
553.2104.2
1,534.2454.2
48.8
749.1179.9196.8
1,004.693.7
179.956.8
( 5 )1,157.0
126.2
385.3322.3112.1381.75
35.3268.4144.5
1,577.4
222.2
53.6
935.8
68.9
729.8372.8
192.5
232.0252.1112.5
352.7585.1555.0379.3
363.654.6
128.9
555.7104.6
1,537.3456.148.8
753.9181.2194.0
1,010.094.2
183.456.9
( 5 )1,160.0
125.8
384.7323.8112.2382.55
35.6268.9144.7
1,579.3
222.8
53.1
936.8
68.7
728.9373.2
192.4
232.5253.0112.6
352.9585.3553.7382.0
362.554.5
127.4(*)( 5 )
557.8104.7
1,538.7454.8
49.5
753.5180.9197.3
1,010.194.6
182.357.3
( 5 )1,161.7
126.5
386.2324.4112.3381.75
>36.2
270.2
1,577.5
223.0( 5 )
53.1( 5 )940.0
( 5 )68.8
( 5 )730.5373.6
192.4( 5 )232.2253.8112.6
353.4586.3553.6383.25
363.354.3
126.7!
558.4104.5
1,540.0454.949.6
752.7181.0198.7
1,013.095.2
183.157.2
( 5 )1,163.4
127.1
387.5325.8112.3383.35
36.1271.8145.4
1,584.9
223.3
53.2
942.7
68.9
732.7374.2
192.9
233.0252.1113.2
354.4585.3555.4384.0
363.754.4
127.0!
558.9105.2
1,542.8458.3
49.4
754.1181.7199.5
1,014.395.4
183.956.9
( 5 )1,167.1
127.1
385.3326.8111.5382.95
36.2273.5145.8
1,589.7
223.9
53.2
946.5
69.2
732.6373.6
193.6
233.1252.6113.1
354.7585.2554.7386.5
366.154.9
127.1!
560.1105.2
1,541.7458.349.5
752.1182.1199.4
1,015.295.8
184.956.7
( 5 )1,171.6
127.2
385.3328.2111.3384.75
()36.0
273.1146.4
1,589.8
225.0( 5 )
53.2( 5 )950.4
( 5 )69.1
( 5 )734.1383.0
193.5( 5 )234.1253.7113.3
356.9586.2561.1388.3
371.155.5
129.2!
562.1105.0
1,545.1463.149.6
753.8183.1199.5
1,016.795.6
186.056.9
( 5 )1,171.0
127.0
385.4329.1111.8382.45
See footnotes at end of table.
67
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ESTABLISHMENT DATASTATE EMPLOYMENTSEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted-—Continued
(In thousands)
State2004
June July Aug. Sept. Oct. Nov. j Dec.
2005
Jan. Feb. Mar. | Apr. May JuneP
Leisure and hospitality
AlabamaAlaskaArizonaArkansasCalifornia
ColoradoConnecticut ,Delaware ,District of ColumbiaFlorida
GeorgiaHawaii ..IdahoIllinois....Indiana..
IowaKansasKentuckyLouisianaMaine
Maryland ,
Michigan ....Minnesota ..Mississippi .
MissouriMontanaNebraskaNevadaNew Hampshire.
New JerseyNew MexicoNew YorkNorth Carolina ....North Dakota
OhioOklahomaOregonPennsylvania ...Rhode Island ...
South CarolinaSouth Dakota...TennesseeTexasUtah
VermontVirginiaWashington....West Virginia .WisconsinWyoming
158.929.9
239.790.3
1,433.4
251.2127.439.850.7
848.9
358.6103.455.8
504.9274.8
110.3160.8203.959.2
223.5289.9403.2235.6124.1
266.153.877.3
312.463.6
326.082.4
661.3346.1
30.3
493.6128.3154.5473.949.5
198.640.8
250.9882.8101.7
318.8255.1
67.8248.5
31.2
160.530.4
241.890.7
1,444.8
251.7127.139.950.4
854.0
358.1103.955.6
507.6275.8
111.0160.1203.8
58.9
223.7292.3404.0236.9125.1
266.354.077.7
315.064.7
329.282.3
664.3342.3
31.5
501.0128.4155.8475.5
49.9
201.741.0
'252.9885.7102.2
319.4255.6
67.6253.0
31.1
160.730.7
243.090.9
1,445.5
251.7127.640.050.8
855.8
358.9104.155.6
507.2274.7
110.7160.3204.1
59.1
224.5290.4405.0236.2125.1
266.254.077.3
315.265.1
329.381.9
664.4342.431.6
499.9128.2157.2477.0
50.2
202.441.1
254.6885.7102.4
319.4254.6
67.6254.4
31.2
160.930.6
243.891.4
1,447.6
252.6128.940.650.7
856.1
358.3104.555.8
507.5275.6
110.8160.6204.3
59.7
225.8290.1404.6237.3125.4
267.654.177.9
315.065.4
329.982.5
665.4345.8
31.6
499.7129.3159.6477.5
50.2
203.341.2
254.7887.0103.1
320.4255.567.7
252.531.4
160.830.2
245.091.2
1,455.8
253.5129.040.551.0
862.4
360.5104.955.9
510.5274.5
111.3160.7204.3
59.8
229.7294.0404.8237.1125.4
266.955.877.9
315.564.9
326.382.5
667.5345.6
31.4
494.5129.5158.9480.0
50.5
204.141.3
254.5888.6102.4
325.3255.0
67.6252.3
31.1
160.829.9
245.190.7
1,455.8
252.6128.340.851.5
865.2
357.7105.155.7
509.1275.2
112.1160.7204.8
60.3
229.2294.1403.8237.1125.4
267.056.978.0
314.964.4
332.682.5
667.9348.7
31.0
493.1129.6159.4479.7
50.4
204.841.4
255.9890.3102.9
325.2254.8
67.6250.4
31.8
160.429.9
245.690.9
1,454.0
253.2128.140.851.8
869.1
357.2105.555.7
509.1275.1
112.2161.7204.3
61.1
231.0293.7402.5237.6124.6
266.758.378.4
315.764.9
332.382.9
668.0349.7
30.8
492.7130.2159.0480.1
50.6
205.641.5
256.7890.3103.4
324.5255.4
68.2249.3
32.1
161.230.2
247.191.9
1,468.8
253.3128.941.852.6
870.3
359.5105.855.8
517.9279.7
111.9162.5206.4
60.5
232.2295.7402.8238.1125.5
263.155.181.2
318.165.0
333.283.2
674.6348.4
30.9
491.4131.9159.1480.6
50.8
210.441.0
258.1893.2104.3
325.4255.6
68.4248.7
32.4
161.330.2
247.292.1
1,465.9
254.4129.241.752.7
875.5
360.5106.056.2
519.0280.4
112.3163.7205.260.3
235.5297.9405.6238.6127.2
265.155.280.1
319.765.5
333.783.1
674.1347.331.2
490.9131.9160.7480.4
50.8
210.441.4
259.2893.9104.8
323.0255.2
69.0248.9
32.4
161.630.3
248.093.0
1,471.4
255.9129.741.252.5
874.0
361.8105.7
55.7519.2280.1
1112.6165.0206.8
59.9
236.6298.7406.2238.3126.4
267.056.180.8
321.166.2
333.083.2
676.1347.8
31.6
491.4130.7160.7481.3
51.2
209.341.7
256.2895.2105.3
318.6256.7
69.0250.1
32.6
161.430.2
248.791.7
1,478.1
256.1129.241.553.6
875.5
363.6105.955.6
524.2282.9
112.5166.3207.4
60.3
236.8300.5411.6240.5127.1
267.456.881.8
327.766.6
336.583.8
677.2350.8
31.9
497.8131.0159.1485.3
51.3
207.241.7
256.2895.8104.8
( 5 )321.1258.6
69.4255.1
32.7
162.330.7
250.892.2
1,478.5
256.3130.742.153.6
877.6
364.3106.356.4
523.6283.1
113.7165.3207.5
60.0
236.9298.0409.4238.9126.1
268.455.781.2
329.267.6
337.684.1
676.0349.4
31.8
502.1130.5161.3485.4
51.8
204.741.4
255.9893.5102.7
318.0259.2
69.6255.1
31.6
162.630.7
250.692.7
1,477.5
258.0131.841.753.8
881.6
362.8107.057.2
522.4282.4
112.9166.1207.8
60.3
237.8297.8407.3239.3125.9
274.655.280.7
330.366.4
340.284.1
675.9346.6
31.6
501.6128.6159.7486.5
52.0
206.241.7
254.7894.6105.5
319.9259.769.3
254.331.7
See footnotes at end of table.
68
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ESTABLISHMENT DATASTATE EMPLOYMENT
SEASONALLY ADJUSTED
B-S, Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State2004
June July Aug. Sept Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Government
Alabama ................AlaskaArizonaArkansasCalifornia
ColoradoConnecticutDelawareDistrict of ColumbiaFlorida....................
GeorgiaHawaiiIdahoIllinoisIndiana
IowaKansasKentuckyLouisiana ...............Maine
Maryland2.............MassachusettsMichiganMinnesotaMississippi
Missouri ................MontanaNebraska ...NevadaNew Hampshire .....
New JerseyNew Mexico...........New YorkNorth CarolinaNorth Dakota .........
OhioOklahomaOregonPennsylvaniaRhode Island
South Carolina ....South Dakota.........TennesseeTexasUtah
VermontVirginiaWashington............West Virginia .........WisconsinWyoming
361.081.0
397.1200.4
2,390.8
358.8241.9
57.6230.1
1,062.5
634.5119.3113.6840.4425.5
245.7252.3308.9380.5104.7
462.9407.7680.0409.2242.1
425.088.7
160.0137.8
89.2
632.9197.6
1,486.5648.7
74.8
804.5300.8270.9747.6
66.1
323.874.6
412.915655.7
198.3
51.5649.5524.0143.3411.6
64.7
361.480.7
399.7200.9
2,391.2
356.2241.7
57.8229.4
1,072.0
638.4120.0113.8846.0428.6
244.2253.4308.0383.8104.9
462.9405.7674.9412.2239.8
429.887.3
160.4138.3
88.5
634.7197.6
1,478.6653.7
72.0
804.9301.4270.1745.3
65.7
329.872.1
411.51,656.0
198.7
52.2651.4523.2143.1413.4
64.9
362.780.9
403.6201.5
2,388.2
358.0243.0
58.4230.4
1,071.9
642.2120.5114.5848.5426.0
244.8252.4308.2385.2105.3
467.8405.4680.9413.9241.1
430.986.4
160.9137.8
88.4
636.7198.1
1,478.1663.2
74.0
805.0304.2269.5740.4
65.9
333.472.1
412.61,657.3
199.8
52.5651.8522.5143.6413.5
64.7
36a 6sas
405.1202.fi!
2,38:9.2
360.0241.6
5i3.5229.8
1.073.B
642.6120.9114.7843.8430.5
244. B254.2309.23ft*. 210! X [»
46:J.B403,4684. El41I5.B24!>.5
430.S8(3.4
161. a140.5ms
641.819H3
1,4815.066I5.B
74.7
800.130(5.0270.3744.9
6(5.0
33-1.6715.3
413.51,657.2
199.9
5218653.8525.8143.9413.4
64.7
360.080.8
405.4201.6
2,390.8
362.2241.2
59.0230.8
1,075.9
643.1120.3115.7840.7428.3
244.6253.6308.7382.9105.3
460.5405.1688.2411.5242.7
428.687.3
160.1140.3
90.7
639.3199.8
1,484.4648.8
74.9
799.9306.4271.1748.5
65.9
331.574.3
412.51,661.2
199.8
53.2654.1525.1143.2412.6
64.4
360.281.0
409.5201.9
2,387.3
361.7241.8
58.9231.5
1,079.4
644.7122.4115.6840.8428.7
244.2253.7308.5382.6105.4
461.4405.6689.1411.3243.5
428.887.7
159.6140.6
90.2
639.2200.0
1,485.1650.4
74.9
799.0306.4271.7747.5
66.1
331.574.7
412.31,663.5
199.3
53.0655.1525.3142.8414.1
64.4
359.981.1
405.6201.6
2,380.8
362.0242.0
58.6230.9
1,076.8
643.5120.2115.3838.2425.2
243.4254.0308.2381.4105.4
461.6405.2688.0411.1242.9
428.287.9
159.9140.9
90.8
640.8200.2
1,488.5650.5
74.8
797.4306.3271.4746.1
65.3
330.674.6
412.61,664.7
199.4
52.9655.9524.7142.6412.3
64.5
360.081.8
405.2201.9
2,381.5
362.0242.3
59.1231.1
1,079.6
642.0117.2115.1845.6430.2
243.1248.6309.4382.5105.1
461.4405.1687.4414.4243.9
430.386.6
160.3141.0
93.1
641.7200.5
1,485.3650.8
75.6
797.6305.2274.1747.0
65.6
328.975.0
414.31,666.2
200.8
53.0654.2524.6143.9418.9
64.5
360.981.7
408.0201.7
2,387.4
364.3242.0
59.5230.8
1,081.3
646.1119.3115.5843.6429.3
242.4255.8308.4382.6104.6
462.2406.0687.3411.4244.5
429.886.7
160.0142.390.1
640.6201.1
1,481.5651.0
75.5
799.1307.9273.3745.0
65.7
329.674.9
411.61,664.0
201.1
52.8654.5523.7142.7413.3
64.2
361.482.2
406.8202.2
2,387.8
364.3243.4
60.3229.8
1,082.9
646.9119.1115.78416427.7
242.1255.5309.0382.6104.7
462.5405.9685.4412.9244.8
428.686.2
159.8142.9
90.8
640.5201.3
1,481.9651.9
75.6
797.0303.6273.2745.4
65.7
330.375.2
412.91,662.9
201.7
52.7654.6525.3143.6411.2
64.6
360.481.7
407.7202.2
2,388.0
365.6243.1
60.1230.2
1,085.4
649.3119.1116.2839.7428.2
242.8255.5309.1382.7105.1
462.6406.6686.8413.2244.9
428.185.9
160.4143.1
90.5
640.7201.9
1,480.6653.2
75.8
798.1308.7274.6747.4
65.9
330.975.4
414.11,663.7
202.1
52.8653.3524.7143.5409.6
65.0
360.381.2
409.1202.3
2,395.8
366.2242.4
60.1230.1
1,086.0
647.3119.1115.5840.2425.5
243.7255.3308.6382.7105.2
464.2407.9683.4411.7245.2
428.586.8
160.0143.7
91.3
639.1202.9
1,482.9653.7
75.4
798.8308.1273.6748.0
65.9
332.575.8
413.31,665.2
201.4
53.0655.8524.3143.2411.8
65.2
364.081.4
405.8203.8
2,389.5
367.6242.2
60.1230.1
1,068.4
645.5120.2114.7839.2424.5
245.3256.9311.1381.4105.5
466.1409.0682.3414.6246.1
427.288.3
159.9142.8
91.3
640.8201.1
1,487.5662.375.0
800.0309.0273.7749.5
66.2
334.175.6
414.41,674.0
201.8
52.1657.2525.4144.4413.8
64.8
1 Includes natural resources and mining, information, and other services, notshown separately.
2 The total nonfarm and government employment data for Maryland have beancorrected from January 1990 through July 2004.
3 The total nonfarm and education and health services data for South Carolinahave been corrected from July 2004 through June 2005.
4 Natural resources and mining is combined with construction.5 This series is not published seasonally adjusted because the seasonal
component, which is small relative to the trend-cycle and irregular components,cannot be separated with sufficient precision.
P as preliminary.NOTE: Data are counts of jobs by place of work. State data are currently projected
from 2004 benchmark levels. When more recent, benchmark data are introducedwith the release of January 2006 estimates, seasonally adjusted data from January2001 are subject to revision.
69
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ESTABLISHMENT DATAHOURSSEASONALLY ADJUSTED
B-7. Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry sectorand selected industry detail, seasonally adjusted
Industry2004
July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP JulyP
Total private
Goods-producing
Natural resources and mining ..
Construction
ManufacturingOvertime hours
Durable goodsOvertime hours
Wood productsNonmetallic mineral productsPrimary metalsFabricated metal productsMachineryComputer and electronic productsElectrical equipment and appliancesTransportation equipment...
Motor vehicles and parts2....Furniture and related productsMiscellaneous manufacturing
Nondurable goodsOvertime hours
Food manufacturingBeverages and tobacco productsTextile mills :Textile product millsApparelLeather and allied productsPaper and paper productsPrinting and related support activitiesPetroleum and coal productsChemicalsPlastics and rubber products
Private service-providing
Trade, transportation, and utilities
Wholesale trade
Retail trade
Transportation and warehousing
Utilities
Information
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other services
33.7
40.1
44.2
38.3
40.84.6
41.34.7
40.742.243.241.242.140.740.842.442.539.338.6
40.14.4
39.338.940.538.636.037.842.438.645.042.840.5
32.4
33.4
37.8
30.6
37.2
40.9
36.3
35.6
34.2
32.6
25.6
31.0
33.7
40.0
44.4
38.1
40.94.6
41.34.7
40.842.343.241.242.140.440.942.542.639.338.5
40.24.5
39.339.440.538.836.238.142.538.545.942.940.5
32.4
33.5
37.7
30.7
37.2
40.9
36.4
35.5
34.3
32.5
25.6
31.0
33.8
40.1
44.5
38.3
40.84.6
41.24.7
40.442.443.141.242.340.340.642.442.439.338.4
40.14.4
39.339.240.239.136.238.242.238.346.042.840.3
32.5
33.6
37.8
30.8
37.5
41.4
36.3
35.5
34.7
32.5
25.6
31.0
33.8
39.9
44.8
38.2
40.74.5
41.24.7
40.342.443.041.142.240.140.642.342.239.238.4
39.94.3
39.038.640.139.136.038.442.138.345.042.740.1
32.4
33.6
37.7
30.8
37.5
40.8
36.3
35.7
34.3
32.5
25.7
30.9
33.7
39.9
45.0
38.3
40.54.5
40.94.6
40.042.142.940.942.039.640.142.242.239.238.2
39.84.3
39.139.040.039.135.738.242.138.345.542.439.4
32.3
33.5
37.7
30.6
37.5
40.4
36.2
35.6
34.2
32.4
25.6
30.9
33.7
40.0
45.4
38.4
40.54.5
41.14.6
40.342.342.840.942.039.840.042.442.639.538.3
39.84.3
38.839.639.839.035.937.642.038.544.642.639.8
32.4
33.6
37.6
30.8
37.4
40.7
36.4
35.7
34.2
32.5
25.7
30.8
33.7
39.8
45.5
37.6
40.74.5
41.14.6
40.641.943.140.942.040.040.142.442.339.538.5
40.04.4
39.040.540.239.535.937.142.538.644.542.840.0
32.4
33.6
37.7
30.7
37.5
41.0
36.3
35.9
34.1
32.6
25.6
30.9
33.7
39.9
45.1
38.2
40.6
41.04.7
39.942.143.040.842.039.640.042.442.339.438.6
40.04.5
39.340.239.739.535.937.242.138.544.742.340.1
32.4
33.6
37.8
30.8
37.3
40.5
36.4
35.8
34.0
32.6
25.7
30.9
33.7
39.8
45.3
38.3
40.44.5
40.84.5
39.541.742.940.742.039.540.042.041.739.438.7
39.74.4
38.840.140.039.435.937.341.938.345.142.239.8
32.4
33.5
37.7
30.7
37.2
40.3
36.5
35.9
34.0
32.6
25.7
30.9
33.8
40.1
45.7
39.0
40.54.4
40.94.5
39.541.942.640.842.039.840.142.141.739.238.8
39.84.3
39.040.440.238.835.737.842.238.346.042.439.7
32.5
33.5
37.7
30.7
37.3
41.1
36.5
36.0
34.2
32.6
25.8
31.1
33.7
39.9
45.8
38.5
40.44.4
40.84.4
39.641.842.540.741.939.940.241.841.439.138.6
39.74.3
38.939.040.438.735.138.542.338.445.642.339.6
32.4
33.4
37.6
30.6
37.1
40.9
36.6
36.0
34.1
32.6
25.8
30.9
33.7
39.9
45.4
38.5
40.44.4
40.84.4
39.641.842.740.741.839.840.241.941.639.238.6
39.74.3
38.839.740.538.035.238.842.338.245.642.139.6
32.4
33.4
37.6
30.5
37.1
41.1
36.4
36.0
34.2
32.6
25.8
31.0
33.7
39.8
45.7
38.2
40.44.5
40.94.6
39.741.643.140.842.140.240.941.741.239.138.1
39.64.3
38.839.340.438.035.239.342.238.345.241.9
32.4
33.3
37.6
30.4
37.1
41.0
36.4
36.1
34.2
32.6
25.7
31.0
1Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisoryworkers in the service-providing industries.includes motor vehicles, motor vehicle bodies and trailers, and motor
vehicle parts.p= preliminary.
NOTE: Data are currently projected from March 2004 benchmark levels.When more recent benchmark data are introducted with the release ofJanuary 2006 estimates, all seasonally adjusted data from January 2001forward are subject to revision.
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ESTABLISHMENT DATAHOURS
SEASONALLY ADJUSTED
B-8. indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonfanni payrolls by majorIndustry sector and selected industry detail, seasonally adjusted
(2002=100)
Industry2004
July Aug. Sept. act Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP JulyP
Total private
Goods-prod y ©ing ...........................
Natural resources and mining
Construction
Manufacturing
Durable goodsWood productsNonmetallic mineral products .............Primary metalsFabricated metal productsMachineryComputer and electronic products .....Electrical equipment and appliances .Transportation equipmentMotor vehicles and parts2...................
Furniture and related products ...........Miscellaneous manufacturing
Nondurable goodsFood manufacturingBeverages and tobacco productsTextile millsTextile product millsApparelLeather and allied products .................Paper and paper products ......Printing and related support activitiesPetroleum and coal products ..............Chemicals ..............................................Plastics and rubber products
Private service-providing
Trade, transportation, and ytillfles ......
Wholesale trade .....................................
Retail trade
Transportation and warehousing ......
Utilities..
information
Financial activities
Professional and business services ...
Education and health services .............
Leisure and hospitality ...........................
Other services
100.3
97.1
104.1
101.7
94.6
95.3101.298.394.098.596.891.789.194.694.494.092.2
93.598.088.780.491.674.385.290.794.2
105.199.394.9
101.5
99.3
98.9
99.0
102.0
95.2
99.4
102.2
102.3
103.9
102.8
96.6
100.5
97.1
105.2
101.4
95.1
95.9101.798.693.898.797.591.289.996.997.693.891.7
93.597.689.580.091.975.184.290.993.8
108.099.694.6
101.6
99.6
98.9
99.3
102.0
94.7
100.0
102.1
102.8
103.9
102.9
96.9
100.9
97.4
105.9
102.1
94.7
95.5100.699.293.398.897.591.089.096.3
93.691.3
93.297.489.778.892.774.684.490.093.1
108.699.694.2
102.1
100.1
99.4
99.6
103.5
96.0
99.9
102.4
104.5
103.9
103.0
96.8
101.2
©7.2
'i 05.9
-icao
€'4.4
&5.5101.0S'9.183.383.8S7.280.383.583.196.183.281.1
92.696.688.1713.182.872.486.489.783.2
I 03.3S'9.3S'3.8
10:2.1
100.2
S'9.3
S'9.8
1:03.9
84.5
II 00.3
1103.2
103.9
104.3
103.7
96.5
101.1
97.1
107.6
103.2
93.9
94.8100.098.293.098.496.688.988.195.695.393.190.9
92.397.090.577.393.370.887.789.593.3
107.898.092.4
102.0
100.2
99.5
99.3
104.2
93.8
100.0
103.1
103.7
104.1
103.6
96.7
101.2
97.5
109.0
104.0
93.9
95.3101.198.392.698.496.589.787.596.496.493.690.9
92.096.791.076.292.170.985.089.293.5
104.797.892.8
102.5
100.4
99.4
99.9
103.8
94.7
101.3
103.6
103.9
104.7
104.2
96.6
101.5
96.9
110.3
101.6
94.2
95.2101.797.193.098.696.891.187.595.895.093.291.0
92.396.891.876.393.769.983.490.793.5
104.997.993.1
102.8
100.8
99.8
99.7
105.2
96.0
101.2
104.4
1Q3.9
105.3
104.1
97.1
101.8
97.6
110.2
104.4
94.0
95.299.997.393.198.296.890.987.496.896.292.391.1
92.097.491.074.893.769.583.239.992.8
106.296.693.1
103.0
101.1
100.3
100.4
104.9
94.8
101.6
104.4
104.1
105.3
104.9
97.3
101.9
97.5
111.5
104.9
93.6
94.898.895.992.798.397.391.487.195.894.392.190.5
91.496.492.274.794.168.183.289.892.1
106.696.492.7
103.2
100.9
100.4
100.1
104.9
94.3
102.3
104.6
104.4
105.5
104.8
97.4
102.5
98.5
113.9
107.8
93.8
95.198.596.791.998.697.793.086.696.393.991.190.3
91496.693.574.092.467.383.289.992.3
109.397.092.0
103.8
101.2
100.5
100.4
105.8
96.5
103.0
105.0
105.5
105.7
105.8
98.3
102.3
98.0
114.4
106.3
93.6
95.098.095.891.798.598.093.687.396.093.490.890.1
91.096.591.874.292.765.484.390.192.4
108.196.691.4
103.6
101.1
100.6
100.2
105.4
96.1
103.1
105.1
105.2
106.0
105.7
97.7
102.5
98.1
114.4
106.6
93.5
95.098.596.092.098.697.994.286.895.392.191.090.3
90.996.294,273.890.665.385.489.591.7
107.196.291.1
103.9
101.2
100.7
100.1
105.3
96.6
102.7
105.5
105.9
106.2
106.0
98.2
102.7
97.8
114.9
105.8
93.4
95.097.994.892.898.999.195.783.993.689.290.689.7
90.796.493.573.091.065.487.189.291.7
104.795.791.2
104.1
101.2
100.7
100.1
105.4
96.3
102.8
106.0
106.3
106.4
105.9
98.3
1Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisoryworkers in the service-providing industries.
2!nc!udes motor vehicles, motor vehicle bodies and trailers, and motorvehicle parts.p== preliminary.NOTE: The indexes of aggregate weekly hours are calculated by
dividing the current month's estimates of aggregate hours by the corresponding2002 annual average levels. Aggregate hours estimates are the product ofestimates of average weekly hours and production or nonsupervisory workeremployment. Data are currently projected from March 2004 benchmark levels.When more recent benchmark data are introducted with the release of January2006 estimates, all seasonally adjusted data froim January 2001 forward aresubject to revision.
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ESTABLISHMENT DATAALL-EMPLOYEE HOURSSEASONALLY ADJUSTED
B-9. Hours of wage and salary workers on nonfarm payrolls by major industry, quarterly, seasonally adjusted
Industry
Total
Private sector
Natural resources and miningConstructionManufacturing
Durable goodsNondurable goods
Trade, transportation, and utilities...InformationFinancial activitiesProfessional and business servicesEducation and health servicesLeisure and hospitalityOther services
Government
Millions of hours (annual rate)1
2004II
225,758
185,068
1,83913,44328,03717,55910,47842,4965,598
13,69427,64227,46816,4408,412
40,690
2005
r
228,757
187,256
1,89613,75027,76717,48410,28342,7585,566
14,04128,28228,03816,7478,412
41,501
2005llr
229,541
188,395
1,94914,11127,59317,40810,18542,8325,649
14,15828,60028,18416,8568,463
41,146
Percent change (annual rate)
2004IIto
2005 II'
1.7
1.8
6.05.0
-1.6-.9
-2.8.8.9
3.43.52.62.5
.6
1.1
2005 Ito
2005 llr
1.4
2.5
11.710.9-2.5-1.7-3.8
.76.13.44.62.12.62.5
-3.4
1 Total hours at work for 1 week in the month, seasonally adjusted,multiplied by 52.
r = revised.p= preliminary.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 2490,chapter 10, "Productivity Measures: Business Sector and MajorSubsectors." Beginning with the August 2004 issue of Employment and
Earnings, these hours measures are presented on a quarterly basis, andincorporate both a shift from hours paid to hours at work and newestimates of the hours worked by supervisory and nonproduction workers.These changes are described in "Alternative measures of supervisoryemployee hours and productivity growth™ in the April 2004 issue of theMonthly Labor Review, available on the Internet athttp://www.bls.gov/opub/mlr/2004/04/airt2full.pdf
SOURCE: Office of Productivity and Technology (202-691-5606).Historical data for these series also are available on the Internet at thefollowing address: ftp://ftp.bls.gov/pub/special.requests/opt/tableb10.txt
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ESTABLISHMENT DATAEARNINGS
SEASONALLY ADJUSTED
B-10. Average hourly and weekly earnings of production or nonsupervisoiy workers1 on private nonfaim payrolls by majorindustry sector and selected industry detail, seasonally adjusted
Industry2004 2005
July I Aug. j Sept. | Oct. Nov. | Dec. Jan. | Feb. [ Mar. [ Apr. May [ JuneP) JulyP
Average hourly earnings
Total private (in current dollars)
Goods-producing
Natural resources and mining
Construction
ManufacturingExcluding overtime2.
Durable goodsNondurable goods
Private service-providing
Trade, transportation, and utilitiesWholesale tradeRetail tradeTransportation and warehousingUtilities
InformationFinancial activitiesProfessional and business servicesEducation and health servicesLeisure and hospitalityOther services
Total private (in constant (1982) dollars)3.....Goods-producing .Private service-providing
Total private (in current dollars)
Goods-producing
Natural resources and mining
Construction ..
ManufacturingDurable goods
Private service-providing
Trade, transportation, and utilitiesWholesale tradeRetail tradeTransportation and warehousingUtilities
informationFinancial activitiesProfessional and business servicesEducation and health servicesLeisure and hospitalityOther services
Total private (in constant (1982) dollars)3.....Goods-producingPrivate service-providing
$15.70
17.19
18.08
19.21
16.1615.3016.8315.09
15.30
14.6317.7112.1016.5825.6021.4217.5517.4816.248.89
13.98
8.239.018.02
$15.74
17.24
18.05
19.25
16.2215.3616.9015.14
15.34
14.6517.6912.1316.6525.6621.5217.5717.5916.248.91
14.00
8.259.048.04
$15.77
17.30
18.06
19.27
16.2915.4216.9815.18
15.36
14.6617.7312.1616.5325.8221.6217.6417.5416.288.95
14.05
8.259.058.04
$15.81
17.32
18.10
19.34
16.2715.4216.9715.15
15.40
14.6917.7812.1616.6126.0021.5917.7117.6316.318.99
14.08
8.229.018.01
$15.82
17.33
18.22
19.31
16.2915.4316.9915.16
15.42
14.7017.8012.2016.5425.7721.5817.6517.6616.349.02
14.12
8.218.998.00
$15.85
17.36
18.37
19.29
16.3415.4817.0615.16
15.45
14.7217.8712.2116.5426.1121.7017.7117.6916.379.01
14.13
8.239.018.02
$15.90
17.35
18.43
19.24
16.3715.5117.1015.18
15.51
14.8217.9112.3216.5826.2321.8017.7117.7916.409.03
14.15
8.248.998.04
$15.91
17.43
18.40
19.31
16.4215.5417.1815.19
15.51
14.7917.9512.2916.5226.0421.6717.7417.8016.459.05
14.17
8.229.008.01
$15.95
17.45
18.27
19.34
16.4315.5617.1715.23
15.56
14.8317.9712.3116.6226.3221.7917.7817.8216.539.05
14.18
8.198.967.99
$16.00
17.51
18.55
19.38
16.4715.6217.2315.23
15.60
14.8818.0512.3516.6226.3821.9817.8517.8916.559.08
14.16
8.168.937.96
$16.03
17.54
18.59
19.36
16.5315.6817.2815.31
15.63
14.9118.0412.3816.6726.4921.9717.8217.9416.609.09
14.20
8.198.967.98
$16.07
17.57
18.66
19.43
16.5415.6917.3115.29
15.67
14.9118.1112.3616.6826.3422.0817.9017.9916.669.09
14.21
8.218.978.00
$16.13
17.60
18.75
19.50
16.5515.6817.3315.27
15.74
15.0118.2412.4316.7426.8022.1618.0018.0816.709.10
14.25
Average weekly earnings
$529.09
689.32
799.14
735.74
659.33695.08605.11
495.72
488.64669.44370.26616.78
1,047.04777.55624.78597.82529.42227.58433.38
277.45361.47259.95
$530.44 $533.03
689.60
801.42
733.43
663.40697.97608.63
497.02
490.78666.91372.39619.38
1,049.49783.33623.74603.34527.80228.10434.00
278.01361.43260.49
693.73
803.67
738.04
664.63699.58608.72
499.20
492.58670.19374.53619.88
1,068.95784.81626.22608.64529.10229.12435.55
278.93363.02261.22
$£34.38
691.07
(110.88
7 38.79
£152.19699.16604.49438.96
433.58670.31374.53622.88
1,060.80783.72632.25604.71530.08231.04435.07
277.89359.37259.47
$533.13
691.47
819.90
739.57
659.75694.89603.37
498.07
492.45671.06373.32620.25
1,041.11781.20628.34603.97529.42230.91436.31
276.52358.65258.34
$534.15
694.40
834.00
740.74
661.77701.17603.37
500.58
494.59671.91376.07618.60
1,062.68789.88632.25605.00532.03231.56435.20
277.19360.35259.77
$535.83
690.53
838.57
723.42
ooo.Zo702.81607.20
502.52
497.95675.21378.22621.75
1,075.43791.34635.79606.64534.64231.17437.24
277.78357.97260.51
$536.17
695.46
829.84
737.64
666.65704.38607.60
502.52
496.94678.51378.53616.20
1,054.62788.79635.09605.20536.27232.59437.85
276.95359.23259.57
$537.52
694.51
827.63
740.72
663.77700.54604.63
504.14
496.81677.47377.92618.26
1,060.70795.34638.30605.88538.88232.59438.16
276.08356.71258.93
$540.80
702.15
847.74
755.82
667.04704.71606.15
507.00
498.48680.49379.15619.93
1,084.22802.27642.60611.84539.53234.26440.38
275.92358.24258.67
$540.21
851.42
745.36
667.81705.02607.81
506.41
497.99678.30378.83618.46
1,083.44804.10641.52611.75541.16234.52438.78
275.90357.43258.64
$541.56
701.04
847.16
748.06
668.22706.25607.01
507.71
497.99680.94376.98618.83
1,082.57803.71644.40615.26543.12234.52440.51
276.59358.04259.30
$543.58
700.48
744.90
668.62708.80604.69
509.98
499.83685.82377.87621.05
1,098.80806.62649.80618.34544.42233.87441.75
1 Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisoryworkers in the service-providing industries.
2 Derived by asssuming that overtime hours are paid at the rate of timeand one-half.^The Consumer Price Index for Urban Wage Earners and Clerical Workers(CPI-W) is used to deflate these series.
4 Data not available.
NC&E: Tiataare currently projected from March 2004 benchmark levels.When more recent benchmark data are introduced with the release ofJanuary 2006 estimates, all seasonally adjusted data from January 2001forward are subject to revision.
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Total nonfarm
Total private
Goods-producing
Natural resources and mining
Logging
Mining
Oil and gas extraction
Mining, except oil and gasCoal mining
Bituminous coal and lignite surfaceminingBituminous coal undergroundmining and anthracite mining
Metal ore miningNonmetallic mineral mining andquarrying
Stone mining and quarryingCrushed and broken limestoneminingOther stone mining and quarrying
Sand, gravel, clay, and refractorymining
Construction sand and gravelmining
Other nonmetallic mineral mining
Support activities for miningSupport activities for oil and gasoperations
Construction
Construction of buildingsResidential building
New single-family generalcontractorsNew multifamily general contractors..Residential remodelers
Nonresidential buildingIndustrial buildingCommercial building
Heavy and civil engineering construction ...Utility system construction
Water and sewer system construction..Oil and gas pipeline constructionPower and communication systemconstruction
Land subdivisionHighway, street, and bridgeconstruction
Other heavy construction
Specialty trade contractors
Residential specialty trade contractors..Nonresidential specialty tradecontractorsBuilding foundation and exteriorcontractors
Residential building foundation andexterior contractorsNonresidential specialty tradecontractors •Poured concrete structure contractorsSteel and precast concretecontractorsFraming contractors
1133
21
211
2122121
212111
212112,32122
212321231
212312212311,3,9
21232
21232121239
213
213112
2362361
23611523611623611823622362123622
23723712371123712
237132372
23732379
238
part 238
part 238
2381
part 2381
part 238123811
2381223813
132,527
110,984
22,228
600
68.3
531.8
125.4213.072.3
34.6
37.728.1
112.652.6
27.924.7
45.7
33.814.3
193.4
129.2
7,184
1,667.9914.5
575.029.3
275.8753.4172.1581.3
953.3377.6193.368.4
115.987.2
386.8101.7
4,562.5
2,168.9
2,393.6
1,039.6
561.0
478.6227.9
83.1154.0
131,384
110,954
22,272
606
69.9
536.2
125.2216.273.6
35.0
38.628.0
114.653.6
28.125.5
47.0
34.814.0
194.8
129.4
7,280
1,689.1
134,112
111,959
22,204
625
62.2
562.7
125.5
222.276.4
36.1
40.329.3
116.554.3
28.925.4
48.0
35.414.2
215.0
141.9
7,285
1,690.9926.7
580.528.8
283.2762.4174.8587.6
964.3380.1195.468.0
116.787.4
392.5104.3
4,626.9
2,192.2
2,434.7
1,056.6
570.0
486.6230.2
82.9159.9
941.3
598.232.4
275.8749.6170.3579.3
952.3386.0191.168.4
126.589.9
372.2104.2
4,641.4
2,207.1
2,434.4
1,081.2
579.9
501.3260.1
82.2160.7
134,732113,018
22,494
638
64.9
573.3
127.4
226.978.0
37.0
41.030.3
118.655.3
29.525.8
49.1
36.214.2
219.0
144.2
7,483
1,731.5967.5
615.932.2
283.5764.0168.8595.2
1,001.0397.9198.470.5
129.092.6
400.8109.7
4,750.1
2,264.1
2,486.0
1,106.6
595.8
510.8264.8
82.3166.6
133,531
112,930
22,492
64167.5
573.3128.3
225.978.6
219.1
7,542
1,747.0978.8
768.2
1,005.2
4J90.22 285.6
2,504.7
89,956
16,119
446
55.9390.0
70.2
166.959.8
27.9
31.920.8
86.340.7
21.918.8
35.4
26.210.2
152.9
97.1
5,501
1,142.0619.2
386.0
193.6522.8126.9395.9
751.4312.4155.360.1
97.039.9
319.679.5
3,607.7
869.3
195.1
68.4140.0
90,044
16,181
453
58.8
394.670.1
168.560.7
28.1
32.620.8
87.040.9
21.919.0
36.0
26.710.1
156.0
98.65,600
1,156.6625.5
388.1
199.2531.1129.5401.6
761.1315.3158.059.4
97.940.0
323.482.4
3,682.1
887.0
197.6
68.7144.8
91,156
16,133
46951.3
417.9
69.6174.863.1
29.4
33.722.2
89.541.9
22.719.2
37.2
27.810.4
173.5
110.2
5,579
1,136.4622.7
387.3
195.0513.7127.7386.0
741.9318.1153.757.4
107.034.2
307.981.7
3,701.0
911.8
222.6
69.0147.1
92,154
16,383
482
54.2
428.0
71.8
178.764.4
30.1
34.323.1
91.243.0
23.519.5
37,9
28.410.3
177.5
112.4
5,748
1,167.1644.5
399.9
203.7522.6126.8395.8
781.0329.9160.561.2
108.236.4
331.083.7
3,799.5
933.8
226.4
68.9152.5
92,082
16,363483
5,798
See footnotes at end of table.
74
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 81: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/81.jpg)
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on rionfami payrolls by detailed industry—Continued
(§n thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005 P
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Construction-ContinuedMasonry contractorsGlass and glazing contractorsRoofing contractorsSiding contractorsOther building exterior contractors
Building equipment contractorsResidential building equipmentcontractors...Nonresidential building equipmentcontractors.......Electrical contractorsPlumbing and HVAC contractorsOther building equipment contractors...
Building finishing contractorsResidential building finishingcontractors........Nonresidential building finishingcontractors.......Drywall and insulation contractorsPainting and wall covering contractorsFlooring contractorsTile and terrazzo contractors.................Finish carpentry contractorsOther building finishing contractors ......
Other specialty trade contractorsOther residential trade contractors .......Other nonresidential trade contractors.Site preparation contractorsAll other specialty trade contractors
Manufacturing
Durable goods.
Wood productsSawmills and wood preservation .............Plywood and engineered woodproducts
Hardwood and softwood veneer andplywoodEngineered wood members andtrusses.....
Other wood productsMillwork.
Wood windows and doorsCut stock, resawing lumber, planing,and other millwork, including flooring.
Wood containers and palletsAll other wood products
Manufactured and mobile homes ......
Nonmetailic mineral productsClay products and refractories
Pottery, ceramics, and plumbingfixturesClay building material and refractories.
Glass and glass productsFlat glass and other pressed andblown glass and glasswareGlass containersGlass products made of purchasedglass.........................
Cement and concrete productsReady-mix concreteOther cement and concrete products ...
Lime, gypsum, and other nonmetaSlicmineral products............... .......
Primary metalsiron and steel mills and ferroalloyproduction..
23814238152381623817238192382
part 2382
part 23822382123822238292383
part 2383
part 23832383123832238332383423835238392389part 2389part 23892389123899
3213211
3212
321211,2
321213,4321932191321911
321912,83219232199321991
3273271
32711327123272
327211,2327213
32721532733273232731,3,9
3274,9
331
3311
241.354.8
193.643.941.0
1,890.0
773.7
1,116.3866.3912.6111.1953.3
551.5
401.8339.9243.3
84.065.5
154.366.3
679.6282.7396.9343.8
335.8
14,444
8,996557.2118.3
121.1
44.6
56.3317.8158.676.8
81.860.199.144.3
518.765.9
30.735.2
113.1
38.119.6
55.4244.9129.7115.2
94.8
469.4
94.6
243.465.1
197.344.743.1
1,914 6
783.3
1,131.3872.2!926.8115.6962.3
553,1
409.2343,6245,7'
85.3-67,2
153.666,9
693,4285.81407.6.349.2.344.1
14,386
8,9516558,1118.6
120.6
44,4
55.6319.0159,977,2:
82.662.097.144.1
518.466.4
31.035.4
112.7
37.819.8
55.1245.6128.3117.3
93,7
467.6
94.6
247.152.1
193.840.145.1
1,893.9
780.0
1,113.9864.8916.8112.3961.9
553.6
408.3344.6233.881.569.1
163.869.1
704.4293.6410.9352.5
351.9
14,294
8,969548.9116.2
119.9
44.3
55.1312.8157.777.2
80.562.492.744.6
505.065.4
28.736.7
107.0
36.417.8
52.8242.5128.5114.0
90.1
466.1
95.9
250.954.0
199.540.747.8
1,926.1
797.4
1,128.7879.7934.0112.4990.6
567.2
423.4350.4250.8
82.571.8
166.368.8
726.8303.7423.1361.9
364.9
14,373
9,009560.5117.5
123.5
44.3
58.2319.5161.279.0
82.262.695.746.8
512.564.8
28.536.3
106.8
36.117.7
53.0250.0132.1117.9
90.9
466.5
96.1
14,309
8,942
553.9
509.7
462.3
213.136.1
153.4
1,439.2
666.1688.2
84.9756.2
288.8202.9
55.852.1
107.748.9
543.0
278.2264.8
10,172
6,198
451.5100.6
98.5
38.4
42.5252.4123.859.4
64.451.976.737.2
398.951.4
25.126.387.9
28.8
42.0188.7105.383.4
70.9
366.6
73.5
215.436.9
156.9
1,468.3
676.4703.2
88.7768.5
293.1206.0
57.653.5
108.849.5
558.3
284.6273.7
10,128
6,143
452.5101.2
97.7
38.1
41.8253.6124.760.0
64.753.475.537.1
399.652.2
25.326.987.1
28.4
41.5190.4105.485.0
69.9
363.5
73.1
220.134.5
154.7
1,455.6
665.3703.8
86.5774.9
299.1194.655.154.1
119.652.4
558.7
279.5279.2
10,085
6,207
443.0100.3
97.3
38.3
40.7245.4122.659.9
62.751.071.836.9
387.152.0
23.628.481.4
26.1
39.5189.9107.582.4
63.8
362.4
73.5
224.136.0
159.4
1,485.1
679.4719.2
86.5801.1
303.8211.1
56.256.5
122.151.4
579.5
287.7291.8
10,153
6,245
453.6101.6
100.8
38.2
43.9251.2124.860.3
64.551.075.439.5
395.651.8
23.528.381.3
26.0
39.7197.0110.686.4
65.5
362.4
73.6
10,082
6,168
447.8
392.7
358.6
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 82: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/82.jpg)
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry-—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005P
July2005
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Durable goods-ContinuedSteel products from purchased steel
Iron, steel pipe, and tube frompurchase steelRolling and drawing of purchasedsteel
Rolled steel shapesAlumina and aluminum productionOther nonferrous metal production
Rolled, drawn, extruded, and alloyedcopperNonferrous metal, except CU and AL,shaping
FoundriesFerrous metal foundries
Iron foundriesSteel foundries
Nonferrous metal foundries
Fabricated metal productsForging and stamping
Iron and steel forgingMetal stamping
Cutlery and hand toolsHand and edge tools
Architectural and structural metalsPlate work and fabricated structuralproducts
Prefabricated metal buildings andcomponentsFabricated structural metal products ..Plate work
Ornamental and architectural metalproducts
Metal windows and doorsSheet metal workOrnamental and architectural metalwork
Boilers, tanks, and shipping containers ...HardwareSpring and wire productsMachine shops and threaded products ....
Machine shopsTurned products and screws, nuts,and bolts
Precision turned productsBolts, nuts, screws, rivets, andwashers
Coating, engraving, and heat treatingmetals
Metal heat treating and coating andnonprecious engravingElectroplating, anodizing, andcoloring metals
Other fabricated metal productsMetal valves
Fluid power valves and hose fittings..Plumbing fixture fittings and trimsIndustrial valves and other metalvalves and pipe fittings
All other fabricated metal productsBall and roller bearings ,Small arms, ammunition, and otherordnance and accessoriesMiscellaneous fabricated metalproducts
MachineryAgricultural, construction, and miningmachinery
3312
33121
3312233122133133314
33142
33149331533151331511331512,333152
332332133211133211633223322123323
33231
332311332312332313
33232332321332322
332323332433253326332733271
33272332721
332722
3328
332811,2
332813332933291332912332913
332911,933299332991
332992,3,4,5
332996,7,8,9333
3331
61.8
27.7
34.124.474.471.9
39.1
22.3166.791.460.431.075.3
1,507.0110.324.958.859.038.0
394.5
168.4
33.387.947.2
226.184.7
102.8
38.694.038.862.3
327.0240.8
86.243.4
42.8
142.8
67.9
74.9278.3
97.736.815.3
45.6180.633.5
40.1
107.0
1,149.4
195.8
61.6
27.8
33.824.373.471.5
38.5
22.3166.691.960.431.574.7
1,504.5110.225.358.458.737.8
393.7
169.2
34.087.847.4
224.584.9
102.3
37.393.838.261.5
327.3242.3
85.043.1
41.9
141.3
67.9
73.4279.8
98.137.915.5
44.7181.733.6
40.3
107.8
1,146.0
196.2
59.9
25.9
34.024.271.472.1
38.3
22.6166.893.160.832.373.7
1,520.1109.926.555.757.237.2
396.6
173.2
32.989.550.8
223.484.8
101.0
37.690.636.260.4
342.8255.2
87.645.0
42.6
140.9
66.3
74.6285.596.338.815.3
42.2189.232.7
39.6
116.9
1,158.1
208.0
60.1
26.0
34.124.471.471.7
38.0
22.5167.293.860.833.073.4
1,528.7112.126.457.857.037.0
400.0
174.4
33.190.251.1
225.685.0
102.4
38.291.935.660.4
343.8256.3
87.545.1
42.4
139.8
65.7
74.1288.196.238.315.3
42.6191.933.3
39.7
118.9
1,162.5
210.4
1,522.9
1,160.1
48.4
22.0
26.4
58.253.7
31.0
16.3132.873.749.124.659.1
1,117.384.118.545.243.829.1
283.5
119.9
20.563.336.1
163.658.578.4
26.775.529.748.0
247.2180.3
66.934.7
32.2
113.8
52.1
61.7191.767.026.3
29.6124.726.0
21.7
77.0
735.1
126.3
47.7
21.8
25.9
57.153.0
30.6
16.1132.674.149.224.958.5
1,114.084.118.944.743.428.8
263.4
120.9
21.362.936.7
162.558.777.9
25.975.029.247.1
246.8181.1
65.734.3
31.4
112.1
61.5
60.6192.967.427.2
28.8125.525.9
21.7
77.9
732.0
126.4
46.9
20.6
26.3
56.153.6
30.6
15.7132.375.049.825.257.3
1,126.983.820.142.340.927.3
286.9
123.9
20.364.539.1
163.059.677.0
26.472.228.045.4
260.3193.0
67.335.5
31.8
111.5
50.6
60.9197.966.928.1
27.2131.024.8
21.0
85.2
746.4
133.9
47.0
20.5
26.5
56.253.2
30.2
15.6132.475.449.525.957.0
1,135.986.020.044.740.527.0
290.5
125.2
20.565.339.4
165.359.678.3
27.473.227.545.7
261.2194.2
67.035.3
31.7
111.1
50.8
60.3200.266.727.8
27.2133.525.2
21.0
87.3749.9
135.4
1,127.1
746.7
See footnotes at end of table.
76
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 83: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/83.jpg)
ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B- i i . Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NA1CScode
AH employees
June2004
July2004
May2005
June2005 P
July2005
Production workers1
June2004 2004
May2005
June2005 P
July2005 P
Durable goods-ContinuedAgricultural implements ...
Farm machinery and equipment......Construction machinery ..,Mining and oii and gas Heldmachinery
Industrial machineryCommercial and service industrymachinery
Office machineryPhotographic and photocopyingequipmentMiscellaneous commercial andservice industry machinery......
HVAC and commercial refrigerationequipment
AC, refrigeration, and forced airheating
Metalworking machineryIndustrial moldsMetal cutting and forming machinetoolsSpecial tools, dies, jigs, and fixturesMiscellaneous metalworkingmachinery.. ....
Turbine and power transmissionequipment
Turbine and turbine generator setunits....Power transmission andmiscellaneous engine equipment
Other general purpose machineryPumps and compressors
Air and gas compressorsPumps and pumping equipment,including measuring and dispensing-
Material handling equipmentConveyor and conveying equipment.
All other general purpose machinery ....
Computer and electronic productsComputer and peripheral equipment.......
Electronic computersComputer storage devicesComputer terminals and othercomputer peripheral equipment
Communications equipmentTelephone apparatus .............................Broadcast and wirelesscommunications equipment...................
Audio and video equipmentSemiconductors and electroniccomponents
Electron tubesBare printed circuit boardsSemiconductors and related devices.Electronic capacitorsPrinted circuit assemblies...................Electronic connectors and misc.electronic components....
Electronic instrumentsElectromedicai apparatus
Search, detection, and navigationinstruments..............Automatic environmental controlsIndustrial process variableinstruments................. ...Electricity and signal testinginstruments........................ .....
3331133311133312
333133332
3333333313
333315
333311,2,4,9
3334
3334153335333511
333512,3333514
333515,6,8
3336
333611
333612,3,8333933391333912
333911,33339233392233399
3343341334111334112
334113,9334233421
334223343
3344334411334412334413334414334418
334415,6,7,9334533451
334511334512
334513
334515
79.558.163.0
53.3118.8
115.810.2
16.1
89.5
155.9
108.2202.543.1
39.079.1
41.3
93.2
18.0
75.2267.451.120.8
30.374.029.8
142.3
1,332.7213.7115.930.7
67.1150.548.4
75.731.8
457.310.463.0
224.49.0
51.5
99.0433.1
54.1
149.529.6
59.3
45.4
80.058.3633
52.7119.11
114.210.2
16.(1
88.CS
155.6
107.6201.8
43.lt
38.678.5I
41.0
91.2
18.0
73.2267.fi'50.720.4
30.5f.74.22Q.il
143.01,337.8
211.0115.4
30.2:
ee.a152.0'48.5
75.632.0
459.810.462.9
226.79.1
51.2
99.5435.8
55.1
150.729.6
59.8
82.660.868.0
57.4120.0
111.5
9.8
15.1
86.6
152.4
100.2202.943.939.678.2
41.2
94.9
18.7
76.2268.447.919.3
28.678.029.4
142.5
1,327.9213.4116.431.0
66.0153.942.3
77.830.8
445.811.455.8
224.28.2
51.0
95.2436.454.4
152.327.9
63.1
45.8
82.461.270.2
57.8120.3
112.19.5
15.2
87.4
152.1
100.2203.643.3
39.579.1
41.7
95.8
18.8
77.0268.247.318.9
28.478.929.2
142.01,339.7
215.9117.631.5
66.8155.142.4
78.631.0
450.911.456.1
227.28.5
51.4
96.3439.955.1
153.027.8
63.4
46.5
1,344.6217.3
155.8
451.6
442.0
56.540.937.6
64.4
69.7
11.7
53.1
106.8
74.7140.031.7
23.659.5
25.2
64.2
53.5163.727.3
16.347.817.788.6
661.288.1
63.2
31.517.0
265.3
41.1113.7
35.5
60.9193.227.1
45.9
31.4
17.7
57.341.437.7
65.1
69.3
11.6
52.9
106.5
74.1139.032.1
23.358.2
25.4
61.8
51.1163.926.8
16.047.817.3S9.3
665.888.5
63.3
31.217.1
267.2
41.2
114.8
35.3
61.8195.928.146.7
31.8
18.0
60.043.740.4
67.6
10.5
52.4
103.4
67.8143.833.3
25.259.3
26.0
62.6
51.5168.326.0
15.553.617.288.7
117.8
66.3
33.116.5
253.4
34.3108.8
35.4
62.0205.227.9
52.7
35.4
20.4
59.544.042.1
66.1
68.0
10.6
52.7
104.2
68.9144.132.8
25.359.9
26.1
62.8
51.7169.325.4
15.554.616.989.3
703.8121.0
66.6
33.716.7
256.2
34.6110.1
35.5
63.1209.428.4
54.3
35.9
20.9
705.0
See footnotes at end of table.
77
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 84: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/84.jpg)
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005 P
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Durable goods-ContinuedIrradiation apparatusMiscellaneous electronicinstruments
Magnetic media manufacturing andreproduction
Electrical equipment and appliancesElectric lighting equipment
Electric lamp bulbs and partsLighting fixtures
Household appliancesSmall electrical appliances
Electric housewares and householdfans
Major appliancesHousehold refrigerators and homefreezers
Electrical equipmentElectric power and specialtytransformersMotors and generatorsSwitchgear and switchboardapparatusRelays and industrial controls
Other electrical equipment andcomponents
BatteriesCommunication and energy wires andcablesWiring devices
Current-carrying wiring devicesAll other electrical equipment andcomponents
Transportation equipment
Motor vehicles and partsMotor vehicles
Automobiles and light trucksAutomobilesLight trucks and utility vehicles
Heavy duty trucksMotor vehicle bodies and trailers
Motor vehicle bodiesTruck trailersTravel trailers and campers
Motor vehicle partsMotor vehicle gasoline engine andparts
Carburetors, pistons, rings, andvalvesGasoline engine and engine parts
Motor vehicle electric equipmentVehicular iighting equipmentOther motor vehicle electricequipment
Motor vehicle steering andsuspension partsMotor vehicle brake systemsMotor vehicle power train components.Motor vehicle seating and interior trim..Motor vehicle metal stampingOther motor vehicle parts
All other motor vehicle partsAerospace products and parts
AircraftAircraft engines and engine parts..Other aircraft parts and equipmentGuided missiles, space vehicles,and parts
334517
334514,6,8,9
3346
33533513351133512335233521
33521133522
3352223353
335311335312
335313335314
335933591
3359233593335931
33599
336
3361,2,33361336113361113361123361233623362113362123362143363
33631
33631133631233632336321
336322
3363333634336353363633637336393363993364336411336412336413
336414,5,9
11.3
83.9
46.3
448.866.014.451.689.319.6
13.369.7
23.9154.9
25.451.8
33.843.9
138.628.0
21.855.842.8
33.0
1,771.7
1,117.5255.4221.3144.776.634.1
169.066.834.546.6
693.1
79.4
16.562.9
100.716.8
83.9
42.545.785.968.397.5
173.1160.5442.8208.378.884.8
70.9
11.3
84.2
46.3
449.365.514.351.291.219.6
13.371.6
24.0153.7
25.451.4
33.843.1
138.927.7
21.855.842.8
33.6
1,716.1
1,059.8233.1197.9135.462.535.2
167.667.234.745.3
659.1
76.4
16.859.697.116.6
80.5
41.745.373.066.390.9
168.4155.9445.2209.4
79.985.0
70.9
11.5
81.4
47.6
443.065.113.851.387.818.8
12.869.0
21.5150.6
25.448.6
32.244.4
139.526.7
22.256.644.4
34.0
1,785.7
1,103.8258.1221.5143.278.336.6
169.270.636.740.7
676.5
72.9
16.156.898.417.2
81.2
41.845.384.567.697.0
169.0157.2461.0217.982.089.7
71.4
11.8
82.3
46.9441.464.213.550.787.318.3
12.769.0
21.6150.0
25.347.7
32.444.6
139.926.9
22.556.544.3
34.0
1,776.3
1,090.2250.5213.7138.475.336.8
171.571.837.240.2
668.2
72.5
16.156.497.317.1
80.2
40.844.084.267.993.5
168.0156.4465.4219.083.091.1
72.3
441.0
1,727.4
1,040.2
3.4
45.7
308.945.811.234.671.9
94.4
36.5
21.521.3
96.8
40.130.2
20.0
1,270.0
908.1207.2179.4111.368.127.8
137.353.627.339.7
563.6
63.3
50.883.6
70.6
36.0
71.052.979.2
141.7131.4199.490.243.453.0
3.4
46.1
310.545.811.034.874.5
93.7
36.2
21.620.8
96.5
39.930.1
20.3
1,218.4
856.8186.3157.6103.254.428.7
135.953.927.438.3
534.6
60.5
47.880.6
67.8
35.5
60.551.073.2
137.9127.8200.0
90.343.953.2
3.7
45.3
303.743.310.333.070.9
92.0
35.1
20.221.5
97.5
42.032.2
20.5
1,286.7
901.3208.0178.2109.269.029.8
139.459.529.033.9
553.9
59.2
46.882.6
69.5
36.9
70.052.480.2
135.3125.5215.3
95.045.757.8
3.9
46.8
304.744.010.034.070.6
91.6
34.4
20.421.7
98.5
42.732.6
20.41,277.1
886.9200.6170.6104.666.030.0
140.660.429.333.4
545.7
58.8
46.482.0
68.9
36.1
69.852.377.1
133.7124.0219.3
95.645.459.1
305.2
1,223.5
833.1
See footnotes at end of table.
78
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004 2004
June2005P 2005*
Production workers
June2004
July2004 2005
June2005 P 2005 P
Durable goods-ContinuedIroad rolling stock
Ship and boat buildingShip building and repairingBoat building
Other transportation equipment
Furniture and related productsHousehold and institutional furniture
Wood kitchen cabinets andcountertopsOther household and institutionalfurniture .
Upholstered household furnitureNonuphotstered wood householdfurnitureMiscellaneous household andinstitutional furniture
Office furniture and fixturesWood office furniture and customarchitectural woodwork and millwork.Office furniture, except woodShowcases, partitions, shelving,
Other fumiturB^ated prodijcte ""!"!!"!.!
liscellafi s manufacturing .Medical equipment and supplies
Surgical and medical instrumentsSurgical appliances and suppliesDental laboratories
Other miscellaneous manufacturingJewelry and silverwareSporting and athletic goodsDolls, toys, and gamesOffice supplies, except paperSigns..Ail other miscellaneous manufacturing.
Nondurable goods.
Food manufacturingAnimal foodGrain and oilseed milling
Flour milling, malt, starch, andvegetable oil.-.oreaKiast cereal
Sugar and confectionery productsSugarChocolate confectioneries
Fruit and vegetable preserving andspecialty
Frozen foodFrozen fruits and vegetablesFrozen specialty food
Fruit and vegetable canning anddrying
Fruit and vegetable canningSpecialty canningDried and dehydrated food
Dairy productsDairy products, except frozen
Fluid milkIce cream and frozen desserts
Animal slaughtering and processingAnimal, except poultry, slaughtering..Meat processed from carcasses, andrendering and meat byproductprocessingPoultry processing
Seafood product preparation andpackaging
3365
3366113366123369
3373371
33711
33712337121
337122
337124,5,7,93372
337211,2337214
3372153379
3393391339112339113339116
339913399233993339943399533999
31131113112
31121,23112331133113131132,3
311431141311411311412
31142311421311422311423311531151311511311523116311611
311612,3311615
3117
24.9148.391.057.338.2
579.0388.5
161.6
226.988.6
87.8
50.5137.2
42.428.2
66.653.3
661.6305.0105.486.251.0
356.644.458.718.625.474.8
134.7
5,448
1,495.151.260.6
46.414.279.312.544.3
181.695.138.956.2
86.565.19.9
11.5134.4110.755.223.7
503.0147.2
118.5237.3
43.6
26.0148.291.756.6S7.9
579.138*1.3
165.8
222.588.®
84.7
138.2
43.C26.:
67.CI82.6
659.4307.0107.286.580.7
352.443.65S.117.B24.776,1
133.2
5,450
1,523.151.659J
46.CE13J79Ji11.8A4.il
202.094.339.155.2
107.785.79.9
12.1135.4110.555.124.9
505.5148.9
118.1238.6
48.3
25.3156.897.958.938.8
563.0378.8
165.9
212.986.0
79.7
47.2134.0
43.027.4
63.650.2
651.5314.4114.186.951.2
337.141.557.416.820.976.0
124.5
5,325
1,468.751.460.8
46.214.676.112.542.8
170.288.533.854.7
81.760.28.7
12.8135.0109.855.725.2
497.6146.4
116.5234.7
36.6
25.5156.396.659.738.9
563.2378.7
167.7
211.085.3
79.2
46.5133.9
43.227.7
63.050.6
657.8317.7114.788.351.6
340.141.856.916.820.678.0
126.0
5,3641,490.2
51.461.5
46.614.976.812.243.7
180.391.636.754.9
88.766.8
9.012.9
136.4110.555.725.9
499.0145.0
117.9236.1
40.9
560.4
659.4
5,367
1,513.0
117.570.547.0
448.5312.5
127.6
184.974.7
72.7
37.598.2
30.7
49.537.8
440.1197.260.851.641.9
242.930.841.9
15.648.096.5
3,9741,175.3
32.341.7
30.4
64.89.6
38.1
150.079.933.946.0
70.152.2
9.987.573.332.3
434.3130.4
93.8210.1
35.9
117.071.245.8
448.5311.7
130.9
180.873.9
70.1
36.899.4
31.3
50.137.4
438.5198.261.451.641.8
240.330.440.7
15.149.095.5
3,985
1,204.632.440.9
30.3
65.39.3
38.5
170.679.733.746.0
90.972.4
10.489.273.932.9
436.8132.2
93.0211.6
40.9
124.475.349.1
432.4301.5
131.0
170.571.4
64.5
34.695.1
30.4
46.735.8
424.5197.864.551.240.7
226.729.339.5
12.448.289.1
3,878
1,158.533.140.9
29.8
60.39.5
36.1
140.073.428.644.8
66.648.4
11.192.076.335.6
430.1127.9
92.2210.0
29.7
124.875.749.1
433.3302.1
132.4
169.770.6
64.4
34.794.9
30.7
46.236.3
428.9199.465.351.641.0
229.529.338.1
12.350.091.7
3,908
1,177.533.141.6
30.2
59.99.3
35.9
149.576.331.444.9
73.254.7
11.193.376.835.8
431.5126.7
93.3211.5
33.6
431.6
429.9
3,914
1,203.5
See footnotes at end of table.
79
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005
Production workers1
June2004 2004
May2005
June2005 p 2005P
Nondurable goods-ContinuedBakeries and tortilla manufacturing
Bread and bakery productsRetail bakeriesCommercial bakeries and frozencakes and other pastry products
Cookies, crackers, pasta, and tortillas..Other food products
Snack foodMiscellaneous food products
Beverages and tobacco productsBeverages
Soft drinks and iceSoft drinks
Breweries, wineries, and distilleriesTobacco and tobacco products
Textile millsFiber, yarn, and thread millsFabric mills
Broadwoven fabric millsTextile and fabric finishing mills
Broadwoven fabric finishing mills
Textile product millsTextile furnishings mills
Carpet and rug millsCurtain and linen mills
Other textile product millsTextile bag and canvas millsAll other textile product mills
ApparelApparel knitting mills
Hosiery and sock millsSheer hosiery millsOther hosiery and sock mills
Cut and sew apparelCut and sew apparel contractors
Men's cut and sew apparelcontractorsWomen's cut and sew apparelcontractors
Men's cut and sew apparelWomen's cut and sew apparelOther cut and sew apparel
Accessories and other apparel
Leather and allied productsFootwearLeather and hide tanning and finishingand other leather products
Paper and paper productsPulp, paper, and paperboard mills
Pulp mills and paper millsPaperboard mills
Converted paper productsPaperboard containers
Corrugated and solid fiber boxesFolding paperboard boxesMiscellaneous paperboardcontainers
Paper bags and coated and treatedpaperCoated and laminated packagematerials and paperMiscellaneous coated and treatedpaper and paper bags
Stationery productsOther converted paper products
311831181311811
311812,331182,331193119131192,3,4,9
31231213121131211131212,3,43122
31331313132313213133313311
3143141314113141231493149131499
315315131511315111315119315231521
315211
3152123152231523315293159
3163162
3161,9
322322132211,232213322232221322211322212
322213,4,5
32222
322221,2
322223,4,5,6
3222332229
287.6213.970.1
143.873.7153.846.3107.5
198.0169.4105.578.563.928.6
241.455.2117.469.768.833.4
181.9105.950.155.876.032.743.3
292.642.926.69.217.4
225.898.4
21.9
76.556.749.621.123.9
43.519.8
23.7
499.6147.6107.640.0352.0187.5116.137.5
33.9
74.4
48.7
25.736.553.6
287.1213.769.5
144.273.4153.347.2106.1
199.9170.4105.179.065.329.5
238.554.7
115.568.268.333.0
179.7103.349.254.176.433.043.4
280.742.725.89.116.7
215.096.4
21.1
75.351.446.420.823.0
43.119.4
23.7
501.5147.0107.139.9
354.5190.1116.738.3
35.1
75.0
48.9
26.136.253.2
288.6215.970.4
145.572.7152.446.0106.4
190.0162.899.176.663.727.2
226.451.9108.962.065.631.4
181.6102.850.652.278.834.144.7
260.537.723.18.214.9
201.387.1
19.6
67.553.942.817.521.5
43.119.0
24.1
496.4144.9105.839.1351.5188.4115.138.0
35.3
74.8
48.6
26.235.852.5
290.4216.870.9
145.973.6153.546.1107.4
193.9166.8102.577.364.327.1
226.451.8108.260.966.431.8
180.0101.350.650.778.735.043.7
262.337.623.18.115.0
203.488.5
19.1
69.453.243.518.221.3
43.118.9
24.2
498.3146.4106.839.6351.9188.2114.438.4
35.4
74.7
48.7
26.036.152.9
195.1
221.5
178.9
255.2
43.0
497.0
223.2162.158.5
103.661.1105.636.069.6
108.791.255.037.736.2
198.148.695.260.454.326.4
145.286.0
47.259.224.534.7
230.834.221.27.713.5178.484.3
18.5
65.844.833.1
18.2
34.216.2
18.0
377.6115.584.231.3262.1142.085.2
30.4
26.4
53.6
33.020.625.740.8
222.8161.857.7
104.161.0105.736.868.9
111.592.955.238.037.7
194.748.193.159.053.525.8
143.884.2
45.959.624.734.9
220.334.320.67.712.9168.882.8
18.1
64.739.830.5
17.2
33.815.7
18.1
378.3114.783.531.2263.6144.185.5
31.2
27.4
54.0
33.021.025.440.1
223.2162.356.8
105.560.9109.236.872.4
109.291.452.940.338.5
181.845.885.253.250.823.7
146.785.4
44.461.325.635.7
202.230.318.27.011.2
155.772.3
16.6
55.741.928.1
16.2
33.415.0
18.4
374.4113.082.730.3
261.4143.686.3
31.1
26.2
54.4
33.6
20.824.239.2
224.2163.056.7
106.361.2110.837.273.6
114.296.356.741.239.6
181.045.584.252.151.323.9
145.985.0
43.660.926.234.7
203.730.318.26.811.4157.373.2
16.0
57.241.428.8
16.1
33.314.9
18.4
375.3114.483.930.5
260.9143.185.9
31.4
25.8
53.7
32.920.824.639.5
115.9
176.9
145.4
197.3
33.0
374.0
See footnotes at end of table.
80
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004.
May2005
June2005 P
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Nondurable goods-ContinuedPrinting and related support activities
Commercial lithograph printingCommercial flexographic printingCommercial screen printingQuick printingManifold business forms printing .......Commercial gravure and misc.commercial printing
Support activities for printing ................
Petroleum and coal productsPetroleum refineriesAsphalt paving and roofing materialsand other petroleum and coal products
ChemicalsBasic chemicals
Petrochemicals and industrial gases ...Synthetic dyes and pigmentsOther basic inorganic chemicals ..........Other basic organic chemicals .............
Resin, rubber, and artificial fibers ............Resin and synthetic rubber
Plastics material and resinSynthetic rubber
Agricultural chemicalsPharmaceuticals and medicines
Pharmaceutical preparations.............Miscellaneous medicinal andbiological products
Paints, coatings, and adhesives ..............Paints and coatings
Soaps, cleaning compounds, andtoiletries
Soaps and cleaning compounds ..........Polishes and other sanitation goodsand surface active agents........
Toilet preparationsOther chemical products andpreparations ......................................
Plastics and rubber productsPlastics products
Plastics packaging materials, film,and sheet
Nonpackaging plastics film andsheet...
Plastics pipe, fittings, and profileshapes
Unlaminated plastics profile shapes..Plastics pipe and pipe fittings ............
Foam productsPlastics bottles and laminated plasticsplate, sheet and shapes....Other plastics products
Rubber productsTiresRubber and plastics hose and belting ..Other rubber products
Rubber products for mechanical useAH other rubber products ...................
Service-providing.................
Private service-providing
Trade, transportation, and utilities................
Wholesale trade........................
Durable goodsMotor vehicles and parts
32332311323112323113323114323116323111,5,7,8,932312
32432411
32412,9
325325132511,232513325183251932523252132521132521232533254325412
325411,3,4325532551
325632561
325612,332562
3259
326
3261
32611
326113326123261213261223261455
32613,6326193262326213262232629326291326299
42
4234231
673.1264741.666.670.940.1
131.957.3
115.170.0
45.1
894.8157.551.718.645.042.2
109.773.759.514.241.2
292.7229.3
63.470.146.6
114.759.1
33.055.6
108.9
812.4638.5
88.0
52.2
58.028.229.863.0
55.8373.7173.970.028.275.746.729.0
110,299
88,756
25f589
5,684.62,962.8
341.3
668,0265,541565,569,539,7
128,967,3
115,770,2
45,5
892,7156,251.01B..644.941,7
109. .373.759.214,540,5
293,9230,0
63,969,546.4
114,963,9
32.358.0
103,4
807,2634.9
83.0
52.4
57.927.830.162.1
55.8371.1172.370.128.373.944.929.0
109,112
88,682
25,619
5,688.9
2,969.2342.3
657.1261.840.865.266.837.3
129.555.7
117.770.8
46.9
878.8153.148.718.045.041.4
106.071.858.113.740.3
290.1226.7
63.469.745.7
112.657.0
31.855.6
107.0
804.7633.0
87.2
52.7
57.727.530.263.0
54.9370.2171.768.428.974.445.8
28.6
111,908
89,755
25,780
5,730.12,984.6
342.0
660.2263.941.764.467.537.4
129.555.8
119.371.3
48.0
883.6153.348.118.344.642.3
106.672.158.313.839.2
292.6227.5
65.169.645.7
113.757.3
31.956.4
108.6
806.6633.8
88.1
53.2
57.827.630.263.5
54.9369.5172.868.929.374.645.728.9
112,238
90,524
25,924
5,761.33,002.7
342.7
656.4
119.9
884.5
802.1
111,039
90,438
25,892
5,761.3
3,006.6
467.4186.128.245.848.726.5
94.737.4
79.846.4
33.4
523.895.3
23.9
74.446.437.8
29.0139.6109.4
30.241.626.8
73.737.9
20.435.8
70.2
633.3
494.5
65.6
37.443.921.022.949.0
46.0290.0138.856.2
60.037.322.7
73,837
21,352
4,458.1
2,320.4271.3
464.6186.628.144.848.626.0
92.338.2
80.747.1
33.6
524.194.8
23.9
73.846.337.4
28.2142.1110.5
31.641.727.1
73.837.9
20.235.9
69.7
628.1491.8
65.8
37.6
43.920.823.148.3
46.0287.8136.356.2
57.635.422.2
73,863
21,303
4,472.5
2,335.8272.3
455.2179.927.743.547.224.9
93.538.5
79.947.0
32.9
514.388.6
24.0
69.542.935.6
29.3144.1112.2
31.942.726.8
71.636.9
18.234.7
68.5
622.6487.1
66.3
38.9
42.519.822.748.4
45.2284.7135.556.8
57.335.521.8
75,023
21,659
4,553.9
2,372.5275.9
457.0182.028.543.046.724.9
93.238.7
80.846.9
33.9
517.088.0
23.5
69.742.835.6
28.7146.6114.0
32.642.526.3
71.836.7
18.235.1
69.7
622.3486.8
67.1
39.4
42.519.822.748.8
45.1283.3135.557.5
57.035.221.8
75,771
21,803
4,588.6
2,392.6277.6
455.0
79.9
515.5
617.4
75,719
21,768
4,583.0
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfami payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005
Production workers'
June2004 2004
May2005
June2005 P
July2005 P
Wholesale trade-ContinuedMotor vehiclesNew motor vehicle parts
Furniture and furnishingsFurnitureHome furnishings
Lumber and construction suppliesLumber and woodMasonry materialsRoofing, siding, and otherconstruction materials
Commercial equipmentOffice equipmentComputer and softwareMedical equipmentMiscellaneous professional andcommercial equipment
Metals and mineralsElectric goods
Electrical equipment and wiringElectric appliances and otherelectronic parts
Hardware and plumbingHardwarePlumbing equipmentHVAC and refrigeration equipment
Machinery and suppliesConstruction equipmentFarm and garden equipmentIndustrial machineryIndustrial suppliesService establishment equipmentOther transportation goods
Miscellaneous durable goodsSporting goodsRecyclable materialsJewelryToy, hobby, and other durable goods ...
Nondurable goodsPaper and paper products
Printing and writing paper and officesuppliesIndustrial paper
Druggists1 goodsApparel and piece goods
Men's and boys' clothingWomen's and children's clothing
Grocery and related productsGeneral line groceryPackaged frozen foodFruits and vegetables
Farm product raw materialsGrains and field beans
ChemicalsOther chemicals
PetroleumAlcoholic beverages
Beer and aleWine and spirits
Misc. nondurable goodsFarm suppliesBooks and periodicalsNursery stock and florists' suppliesTobacco and tobacco productsPaint, painting supplies, and othernondurable goods
Electronic markets and agents andbrokers
42311423124232423214232242334233142332
42333,94234423424234342345
42341,4,6,94235423642361
42362,94237423714237242373,44238423814238242383423844238542386423942391423934239442392,9
4244241
42411,24241342424243424324243342444244142442424484245424514246424694247,42484248142482424942491424924249342494
42495,9
425
119.8175.3109.042.166.9
242.1129.556.7
55.9644.1118.4244.2171.2
110.3120.8341.7144.4
197.3234.9
77.587.569.9
657.980.4
103.4304.670.666.232.7
271.048.896.943.781.6
2,020.4151.5
85.2
218.9148.832.461.7
689.1212.231.875.374.144.4
132.9107.9100.0143.487.855.6
361.7111.955.752.028.2
113.9
701.4
119.5176.7107.641.466.2
244.2130.957.1
56.2642.9117.3244.6172.0
109.0121.4342.9146.8
196.1236.6
77.988.170.6
659.280.7
102.8306.770.566.032.5
272.149.297.442.882.7
2,016.4149.6
83.765.9
219.6148.132.661.7
690.4211.9
31.676.772.143.1
132.8107.899.9
143.888.355.5
360.1109.955.253.028.9
113.1
703.3
118.5178.5108.943.365.6
251.2137.155.7
58.4646.9115.8247.8174.3
109.0119.8339.3146.5
192.8235.877.888.869.2
667.982.5
103.4314.470.866.430.4
272.847.297.541.686.5
2,021.6149.8
84.765.1
216.7144.932.157.1
691.3204.532.177.371.542.2
132.8108.7100.1146.586.160.4
368.0113.455.455.627.8
115.8
723.9
119.1179.3109.444.564.9
254.8140.055.3
59.5651.0115.4250.9175.2
109.5120.8340.8147.6
193.2237.177.989.170.1
670.483.5
104.8314.371.166.330.4
275.748.398.941.686.9
2,032.4149.5
83.665.9
214.6148.132.759.1
695.3206.032.478.673.243.5
134.2109.6101.0149.088.160.9
367.5113.955.753.828.4
115.7
726.2
2,025.7
729.0
97.9137.184.7
51.5201.3108.846.0
46.5519.199.5
204.2133.8
81.699.1
244.9109.4
135.5178.957.267.654.1
508.262.881.4
231.952.753.8
212.9
78.6
60.81,606.6
118.0
66.451.6
165.2110.1
565.9176.5
66.161.836.9
100.580.981.9
117.472.0
285.889.8
86.9
531.1
97.5133.685.4
52.5204.1111.146.1
46.9520.698.5
205.3135.5
81.399.5
246.6111.2
135.4181.257.668.954.7
511.163.480,4
235.153.154,3
215.0
79.4
61,9
1,602.6115.7
64.451.3
165.9108.9
568.2175.9
67.259.635.5
100.430.982.0
118.372.8
283.888.5
86.3
534.1
100.5142.685.4
50.9208.7115.744.7
48.3528.798.0
209.9137.8
83.098.0
249.5109.8
139.7185.559.472.154.0
523.764.281.4
246.954.354.3
217.1
80.6
68.0
1,623.1119.5
68.351.2
164.9105.9
575.0171.9
67.358.634.2
103.984.882.0
121.272.2
292.192.6
89.6
558.3
100.5144.586.1
50.0212.7118.644.6
49.5532.097.4
212.2138.5
83.998.7
251.7111.2
140.5186.759.672.454.7
526.965.983.4
246.455.253.6
220.2
81.5
68.8
1,636.6119.2
66.952.3
163.8109.0
579.7173.7
68.160.235.3
106.285.982.9
123.573.8
292.193.4
89.4
559.4
See footnotes at end of table.
82
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
Junen2005 P 2005P
Production workers1
June2004 2004
June2005P
July2005P
Wholesale trade-ContinuedBusiness to business electronic
Wholesale trade agents arid brokers ...
Retail trade
Motor vehicle and parts dealersAutomobile dealers
New car dealersUsed car dealers
otner motor venicte aeaiersRecreational vehicle dealersMotorcycle, boat, and other vehicle
Auto parts, accessories, arid tire stores.Automotive parts and accessoriesstoresTire dealers
Furniture and home furnishings storesFurniture stores ,Home furnishings stores
Floor covering storesOther home furnishings stores
Electronics and appliance storesAppliance, TV, and other electronicsstores
Household appliance storesRadio, TV, and other electronics
Computer, software, camera, andphotography supply stores
Building material and garden supplystores
Building material and supplies dealers ...Home centersPaint and wallpaper storesHardware storesOther building material dealers
Lawn and garden equipment andsupplies stores
Outdoor power equipment storesNursery, garden, and farm supplystores
Food and beverage storesGrocery stores
Supermarkets and other grocerystores '.Convenience stores
Specialty food storesMeat markets and fish and seafoodmarkets '.Fruit and vegetable marketsOther specialty food stores
Beer, wine, and liquor stores
Health and personal care storesPharmacies and drug storesCosmetic and beauty supply stores....CJDtlOflll ClOOCiS SsOflSS •••••••«••••••••••••••••••••Other health and personal care stores
Food (health) supplement storesAll other health and personal care
\3dsoiif^& siSttions •«••••••••••••••«••••••••••••••••••••••<Gasoline stations with convenience
Other gasoiine stations
425114251142512
44,45
44144114411144112441244121
441224413
4413144132
442442144224422144229443
44311443111
443112
44312,3
444144411444124441344419
444244421
44422
4454451
44511445124452
44521.24452344529445344644611446124461344619446191
446199
447
4471144719
63.8637.6
15,058.7
1,918.81,261.11,140.2
120.9165.041.5
123.5492.7
330.4162.3554.5287.4267.1100.1167.0
505.3
337.575.0
262.5
167.8
1,275.31,110.6
611.140.3
170.3288.9
164.734.0
130.7
2,847.92,462.9
2,318.9144.0247.6
64.847.5
135.3137.4
943.7686.7
99.263.993.944.1
49.8
886.9
760.7126.2
62.5640.8
15,022.1
1,921.91,260.91,141.4
119.5186.542.6
122.9495.5
330.6164.9551.9287.9264.1}98.5
165.5
608.1
337.1U76.6
262.2
165.3
1,257.(31,102.6
600.740.4
170.7290.7
164.633.5
121.02,841.»2,458.1
2,314.3143.8245.9
65.047.8
133.1137.3940.0683.8
99.562.993.843.2
50.6
889.3
765.8123.5
62.8661.1
15,101.8
1,919.81,253.71,132.5
121.2165.641.6
124.0500.5
338.2162.3
563.1295.0268.198.1
170.0
512.4
346.071.8
274.2
166.4
1,319.41,152.5
651.139.6
167.9293.9
166.936.3
130.6
2,833.32,455.1
2,313.4141.7243.4
66.943.5
133.0134.8
954.9694.699.864.496.143.5
52.6
879.6
757.2122.4
63.5662.7
15,200.61,931.81,256.81,136.4
120.4168.941.9
127.0506.1
340.3165.8
560.6291.9268.798.6
170.1
517.7
348.773.9
274.8
169.0
1,328.31,163.3
654.639.7
171.2297.8
165.036.5
128.5
2,864.12,483.4
2,338.5144.9245.7
68.843.9
133.0135.0
960.0698.5101.563.996.143.8
52.3
881.6
761.0120.6
15,217.9
1,942.61,263.4
561.7
516.7
1,317.0
2,861.3
955.5
52.3478.8
12,778.4
1,574.01,045.0
958.186.9
134.2
98.8394.8
265.4129.4
438.7230.8207.974.9
133.0
398.6
280.459.2
221.2
118.2
1,045.7908.1507.231.9
135.3233.7
137.626.7
110.9
2,515.72,200.2
2,079.3120.9205.8
53.439.7
112.7109.7
786.7580.1
48.175.2
39.7754.4
647.4107.0
61.7482.4
12,754.4
1,579.61,047.3
959.887.5
135.0
98.5397.3
265.5131.8
437.0230.7206.374.6
131.7
281.359.6
221.7
117.0
1,031.0902.7498.5
31.8136.0236.4
128.326.6
101.7
2,510.82,196.8
2,076.1120.7204.6
63.740.7
110.2109.4
785.5577.9
48.574.7
40.5764.7
650.1104.6
51.2507.1
12,857.6
1,579.41,044.5
954.689.9
132.3
97.7402.6
273.6129.0450.5240.7209.875.6
134.2
407.3
284.354.5
229.8
123.0
1,088.3948.5542.030.8
134.6241.1
139.828.4
111.4
2,502.42,190.5
2,071.7118.8204.3
54.637.0
112.7107.6
793.3583.9
49.377.1
43.2
744.3
642.7101.6
51.2508.2
12,955.51,590.51,046.5
956.789.8
135.7
100.7408.3
275.8132.5
449.9239.6210.376.6
133.7
410.9
286.056.2
229.8
124.9
1,094.8956.0542.531.2
138.0244.3
138.828.5
110.3
2,530.02,216.3
2,094.1122.2205.6
56.737.2
111.7108.1
797.6587.2
49.077.0
428
747.3
647.899.5
12,978.0
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(in thousands)
industry2002
NAICScode
All employees
June2004 2004
May2005
June2005 P
July2005P
Production workers1
June2004
July2004
May2005
June2005 P 2005 P
Retail trade-ContinuedClothing and clothing accessories stores ...
Clothing storesMen's clothing storesWomen's clothing storesChildren's and infants' clothing stores ...Family clothing storesClothing accessories storesOther clothing stores
Shoe storesJewelry, luggage, and leather goodsstores
Sporting goods, hobby, book, and musicstores
Sporting goods and musical instrumentstores
Sporting goods storesHobby, toy, and game storesSewing, needlework, and piece goodsstoresMusical instrument and supplies
Book, periodical, and music storesBook stores and news dealersPrerecorded tape, CD, and recordstores
General merchandise storesDepartment stores
Department stores, except discount...Discount department stores
Other general merchandise storesWarehouse clubs and supercentersAll other general merchandise stores ...
Miscellaneous store retailersFloristsOffice supplies, stationery, and giftstores
Office supplies and stationery stores....Gift, novelty, and souvenir stores
Used merchandise storesOther miscellaneous store retailers
Pet and pet supplies storesArt dealersManufactured and mobile homedealersAll other miscellaneous store retailers ..
Nonstore retailersElectronic shopping and mail-orderhouses
Electronic shopping and electronicauctionsMail-order houses
Vending machine operatorsDirect selling establishments ..
Fuel dealersHeating oil dealersLiquefied petroleum gas, bottledgas, and other fuel dealers
Other direct selling establishments
Transportation and warehousing
Air transportationScheduled air transportationNonscheduled air transportation
Rail transportation
Water transportation
44844814481144812448134481444815448194482
4483
451
45114511145112
45113
45114451245121
45122
4524521452111452112452945291452994534531
45324532145322453345394539145392
4539345399
454
4541
454111,24541134542454345431454311
454312,945439
48,49
4814811
4812
482
483
1,354.61,002.8
74.0252.360.2
449.543.7
123.1184.4
167.4
620.9
424.3210.8124.5
52.4
36.6196.6143.4
53.2
2,812.51,577.3
690.2887.1
1,235.2919.6315.6924.2109.7
405.3180.2225.1111.7297.5
81.323.3
28.0164.9
414.1
217.2
55.5161.749.1
147.896.351.7
44.651.5
4,270.9519.2473.1
46.1225.7
60.6
1,368.6 1,363.3 1,390.5 1,411.61,017.4
74.1252.661.2
457.944.9
126.7186.2
165.0
616.4
417.7208.0122.2
51.6
35.9198.7146.0
52.7
2,795.71,571.6
691.3880.3
1,224.1909.0315.1
922.9104.7
407.2180.5226.7112.3298.7
82.523.8
26.8165.6
414.0
217.3
55.2162.148.9
147.895.951.0
44.951.9
4,232.5519.5473.6
45.9
226.5
61.7
1,012.069.5
259.159.8
452.045.6
126.0188.3
163.0
621.3
426.2210.0125.7
52.6
37.9195.1145.8
49.3
2,806.01,577.4
671.0906.4
1,228.6913.1315.5
923.6112.0
401.8183.6218.2113.6296.2
84.422.2
24.1165.5
405.1
209.8
62.1147.750.6
144.796.952.1
44.847.8
4,372.3
509.5458.7
50.8224.5
63.2
1,034.470.7
261.558.6
468.048.1
127.5191.8
164.3
618.9
428.6212.0126.4
52.1
38.1190.3141.9
48.4
2,812.11,587.7
675.3912.4
1,224.4910.6313.8930.5105.9
410.0185.6224.4113.7300.985.522.5
24.7168.2
404.5
210.3
63.4146.948.9
145.397.252.6
44.648.1
4,383.2
510.9459.8
51.1
224.6
64.0
1,081.9
617.9
2,816.61,593.9
920.7
810.457.9
198.5
373.235.094.9
144.2
127.3
499.9
343.2167.9104.5
42.5
156.7116.2
40.5
2,598.41,456.9
618.2838.7
1,141.5871.3270.2
743.390.6
407.0
4,333.6507.3
224.964.3
327.6145.3182.393.7
231.464.8
126.6
341.1
179.4
136.5
121.981.343.0
38.3
3,656.5
1,093.4823.657.8
197.0
380.836.998.7
145.0
124.8
497.5
337.2166.1101.9
41.4
160.3119.5
40.8
2,580.31,450.8
619.5831.3
1,129.5859.8269.7
744.885.7
329.5145.5184.095.1
234.566.3
128.1
341.5
180.0
136.6
121.580.442.2
38.2
3,615.8
1,099.6827.354.6
203.5
379.836.9
101.0147.9
124.4
508.8
349.5169.2105.9
44.1
159.3120.7
38.6
2,597.71,463.3
607.2856.1
1,134.4861.5272.9
755.094.2
326.0148.9177.196.2
238.670.2
130.9
331.0
172.2
125.1
118.280.342.5
37.8
3,787.6
1,133.9854.955.3
207.7
401.038.5
102.2151.9
127.1
507.5
352.9171.9106.4
44.4
154.6116.3
38.3
2,601.11,472.2
610.5861.7
1,128.9859.0269.9
761.288.4
334.8150.3184.595.9
242.171.5
132.4
330.8
173.7
125.5
117.779.842.4
37.4
3,795.2 3,742.8
See footnotes at end of table.
84
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(§n thousands)
Industry2002
NAICScode
All employees
June2004
July2004
June2005 P
July2005 P
Production workers1
June2004
July2004
May2005
June2005 P
Juiy2005 P
Transportation and warehousing-ContinuedSea, coastal, and Great Lakestransportation
Truck transportationGeneral freight trucking
General freight trucking, localGenera! freight trucking, long-distance .
General freight trucking,long-distance TLGeneral freight trucking,long-distance LTL
Specialized freight truckingUsed household and office goodsmovingOther specialized trucking, localOther specialized trucking,long-distance
Transit and ground passengertransportation
Urban transit systemsIrtterurhart and rural bus transportation...Taxi and limousine service ...
Taxi service ..„ ...........;.Limousine service
School and employee bustransportation.....Charter bus industryOther ground passenger transportation ..
Pipeline transportation
Scenic and sightseeing transportation
Support activities for transportation........Support activities for air transportation ....
Airport operationsSupport activities for watertransportation
Port and harbor operationsMarine cargo handlingNavigational services and other watertransportation support activities
Support activities for roadtransportation
Motor vehicle towingFreight transportation arrangementSupport activities for othertransportation, including rait........
Couriers and messengersCouriersLocal messengers and local delivery.......
Warehousing and storageGeneral warehousing and storageRefrigerated warehousing andstorageMiscellaneous warehousing andstorage
Utilities........Power generation and supply
Electric power generationHydroelectric power generation.....Fossi! fuel electric power generation ..Nuclear and other electric powergeneration.....
Electric power transmission anddistribution
Electric bulk power transmissionand control...
48314831
48448414841148412
484121
4841224842
4842148422
48423
4854851485248534853148532
485448554359
486
487
488488148811
48834883148832
48833,9
4884488414885
4882,9
49249214922
49349311
49312
49313,9
22221122111221111
221112
221113,9
22112
221121
38.9
1,369.2952.3232.5719.8
495.1
224.7416.9
111.2199.6
106.1
380.441.020.668.831.437.4
158.333.957.8
39.1
33.1
536.8142.965.8
91.520.941.4
29.2
76.046.2
170.4
56.0
560.0508.5
51.5
546.8456.9
43.9
46.0
575.1416.2253.2
51.2138.8
63.2
163.0
27.3
39.7
1,372.8955.4231.2724.2
499.2
225.0417.4
111.6201.3
104.5
322.538.320.866.129,536.6
107731.158.5
39.7
34.5540.9144.167.2
92.422.340.6
29.5
76.846.2
170.4
57.2
560.7509.5
51.2553.7461.3
44.8
47.6
575.9416.1252.3
50.6138.4
63.3
163.8
27.7
42.0
1,389.4977.7235.3742.4
514.7
227.7411.7
99.5200.3
111.9
410.141.618.868.430.537.9
187.532.561.3
39.2
28.4
553.9143.766.6
99.123.545.2
30.4
78.146.8
172.5
60.5
583.0531.551.5
571.1468.9
53.6
48.6
575.7414.4250.2
50.1137.9
62.2
164.2
28.3
42.4
1,415.1989.9239.5750.4
519.7
230.7425.2
109.0205.3
110.9
378.141.718.967.030.037.0
160.530.159.9
39.4
35.1
556.4147.769.9
97.022.343.5
31.2
79.747.2
170.4
61.6
582.1530.951.2
577.5473.1
54.4
50.0
579.3416.6250.8
50.5138.4
619
165.8
28.6
1,411.3
328.9
39.4
39.3
561.0
579.4
577.8
579.6
1,186.2832.2196.9635.3
441.5
193.8354.0
92.2169.6
92.2
344.636.9
146.8
51.2
28.8
27.3
441.1119.956.2
80.719.638.0
63.0
129.7
47.8
461.4418.5
472.0398.4
37.2
36.4
459.1326.5
102.1
136.6
23.3
1,191.9836.1195.2640.9
44I5.0
1915.93515.8
93.7171.1
91.0
287.734.1
97.1
51.8
29.2
28.7
442.4120.557.1
81.421037.2
63.2
128.2
49.1
463.44211
477.G4010
37.8
38.2
459.8325.7188.0
100.9
137.7
23.7
1215.88612203.6657.6
459.3
198.3354.6
83.6172.5
98.5
377.037.9
178.1
55.6
29.0
24.1
457.6121758.1
88.721742.6
63.9
1317
516
496.4454.0
493.2408.0
45.8
39.4
459.8323.8186.6
99.7
137.2
24.2
1,238.18711206.5664.6
463.1
2015367.0
91.9177.3
97.8
344.638.3
150.4
54.1
29.3
30.1
4612124.960.8
87.020.641.1
66.2
129.7
53.4
494.9453.0
498.6410.8
46.9
40.9
463.9326.6187.9
100.4
138.7
24.4
464.0
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005
Production workers1
June2004 2004
May2005
June2005 p 2005P
Utilities-ContinuedElectric power distribution
Natural gas distributionWater, sewage and other systems
Information
Publishing industries, except InternetNewspaper, book, and directorypublishers
Newspaper publishersPeriodical publishersBook publishersDirectory and mailing list publishersOther publishers
Software publishersMotion picture and sound recordingindustries
Motion picture and video industriesMotion picture and video productionMotion picture and video exhibitionMiscellaneous motion picture andvideo industries
Sound recording industries
Broadcasting, except InternetRadio and television broadcasting
Radio broadcastingTelevision broadcasting
Cable and other subscriptionprogramming
Internet publishing and broadcasting
TelecommunicationsWired telecommunications carriersWireless telecommunications carriers
Cellular and other wireless carriersTelecommunications resellersCable and other program distribution
ISPs, search portals, and dataprocessing
ISPs and web search portalsData processing and related services
Other information services
Financial activities?.
Finance and insurance
Monetary authorities - central bank
Credit intermediation and relatedactivities
Depository credit intermediationCommercial bankingSavings institutionsCredit unions and other depositorycredit intermediation . ...
Nondepository credit intermediationCredit card issuingSales financingOther nondepository creditintermediation
Consumer lending ,Real estate creditMiscellaneous nondepository creditintermediation
Activities related to credit intermediation .Mortgage and nonmortgage loanbrokersFinancial transaction processing andclearing
22112222122213
511
511151111511125111351114511195112
51251215121151213
51212,95122
51551515151151512
5152
516
5175171517251721251735175
51851815182
519
52
521
52252215221152212
52213,952225222152222
52229522291522292
522293,4,85223
52231
52232
135.7111.5
47.43,172913.3674.2376.2140.781.547.528.3
239.1
408.8387.6204.5153.1
30.021.2
327.2241.1112.1129.0
86.1
31.8
1,046.9552.4187.5166.0150.6130.8
391.3118.5272.8
52.2
8,122
5,993.6
21.7
2,849.21,771.91,293.7
248.8
229.4772.6126.1108.3
538.2105.1354.1
79.0304.7
123.8
88.4
136.1112.747.1
3,170
912.4
672.1375.2141.281.447.526.8
240.3
411.9391.3207.4154.7
29.220.6
326.7240.7112.8127.9
86.031.7
1,044.9551.2188.3167.2148.8130.5
390.9118.8272.1
51.5
8,117
5,990.2
21.7
2,846.51,772.41,293.3
249.3
229.8771.4124.4108.7
538.3104.1354.6
79.6302.7
122.9
88.0
135.9114.7
46.63,152
901.9
658.9365.6140.179.547.026.7
243.0
400.8381.1204.2150.7
26.219.7
329.1241.8111.6130.2
87.3
35.4
1,038.6539.9189.7170.0149.5135.0
395.8118.6277.2
50.3
8,184
6,047.3
20.3
2,905.41,797.01,308.6
249.4
239.0798.9118.1111.5
569.3113.3375.5
80.5309.5
129.7
87.3
137.2115.8
46.9
3,163
910.5
661.7366.6142.180.146.426.5
248.8
402.5383.6
158.7
25.518.9
331.2244.1113.2130.9
87.1
36.1
1,038.6539.8190.9171.4147.9135.3
393.5117.4276.1
51.0
8,279
6,093.520.4
2,931.51,811.91,318.5
252.4
241.0808.3119.4110.6
578.3113.5383.8
81.0311.3
131.9
87.0
3,172
913.1
408.1
333.5
35.4
1,039.0
391.6
51.2
8,304
6,100.120.5
2,937.31,817.81,321.9
113.395.936.7
2,410
655.6
467.5262.095.753.9
188.1
327.6313.5151.8139.3
259.0197.294.4
102.8
808.3425.0148.3130.3112.9103.0
292.287.2
205.0
4Z06,060
4,427.9
2,092.91,292.0
923.5186.9
181.6583.395.577.0
410.876.3
281.6
52.9217.6
95.9
114.097.436.7
2,423657.7
468.8262.397.754.2
188.9
333.7320.3155.8142.6
258.3196.695.2
101.4
814.6428.2150.6132.9112.7103.4
291.988.2
203.7
41.46,068
4,430.5
2,089.31,290.5
921.0187.4
182.1580.392.776.9
410.775.1
281.3
54.3218.5
96.5
113.099.636.4
2,472
663.6
472.9260.699.956.6
190.7
314.2300.7147.0133.9
259.7197.292.8
104.4
861.3459.8155.3138.7119.4108.3
304.889.0
215.8
39.66,096
4,440.5
2,109.91,285.9
913.1184.7
188.1596.379.278.4
438.782.7
297.9
58.1227.7
103.9
114.3100.7
36.6
2,486
672.5
477.9261.6103.057.1
194.6
317.3304.9143.4142.2
261.4198.993.9
105.0
862.2458.3157.1140.6119.3108.5
302.688.8
213.8
41.2
6,181
4,479.0
2,133.61,299.3
922.7186.8
189.8604.8
79.476.7
448.783.1
306.2
59.4229.5
105.2
2,491
6,205
See footnotes at end of table.
86
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry-—Continued
(In thousands)
Industry
Financial activities-ContinuedOther credit intermediation activities .....
Securities, commodity contracts,investments
Securities brokeraaeSecurities and commodity contractsbrokeraae and exchanaes .......Other financial investment activities
Miscellaneous intermediationPortfolio manaaementInvestment advice ....All other financial investment activities .
Insurance carriers and related activities .....Insurance carriers . .....
Direct life and health insurancecarriers ....
Direct life insurance carriersDirect health and medical insurancecarriers ...
Direct insurers, except life and health ...Direct property and casualtyinsurers.Direct title insurance and otherdirect insurance carriers .. ...
Reinsurance carriers .. .Insurance agencies, brokerages, andrelated services .
Insurance agencies and brokerages .....Other insurance-related activities
Claims adjustingThird-party administration ofinsurance funds .........All other insurance-related activities ..
Funds, trusts, and other financial vehicles.,Insurance and employee benefit funds ....Other investment pools and funds
R@al estate and rental and l@asino ..... ....
Real estate ........... ...Lessors of real estate .....
Lessors of residential buildings.............Lessors of nonresidential buildings .......Miniwarehouse and self-storage unitoperators ...••Lessors of other real estate property ....
Offices of real estate agents andbrokers . .... <•••Activities related to real estate ............
Real estate property managersResidential property managers..........Nonresidential property managers.....
Offices of real estate appraisersOther activities related to real estate.....
Rental and leasino servicesAutomotive equipment rental andleasing .........................
Passenger car rental and leasing..........Truck, trailer, and RV rental andleasing
Consumer Goods rente!Video taoe and disc rental ... ..............Miscellaneous consumer goods rental..
Home health equipment rentalGeneral rental centers .Machinery and equipment rental andleasing
Heavy machinery rental and leasing ...,.
2002NAICScode
52239
62352312
5231,2523952391523925239352399
5245241
52411524113
52411452412
524126 .
524127,852413
52425242152429524291
524292524298
5255251
5259
53
53153115311153112
5311353119
53125313531315313115313125313253139
532
532153211
5321253225322353221,2,95322915323
532453241
All employees
June2004
92.5
768.8297.4
496.9272.923.7
106.398.444.5
2,269.51,411.5
769.1427.2
341.9612.7
501.0
111.729.7
858.0644.4213.648.5
118.746.4
84.446.537.9
2,127.9
1,440.5612.8384.5147.4
36.744.2
337.8489.9413.4293.1120.342.434.1
661.7
198.2136.0
62.2292.3152.6139.740.165.3
105.956.0
Jvh2004
91.8
773.4300.0
501.1272.3.22.9
1Q7.197.544.8
2,263.21,406.(9
766.0425.1i
339.3612.3
500.;!!
111.829.9
856.364£U:I212.5
48.3.
117.946.3
86.446.7
38.7
2,126.8
1,443.9611.3384,7146).i;i
36.044: 3
339.4492.6416.1292.8122.542.635.0
657.6
202.0139.8
62.2286.7146.7140.030.463.6
105.355.9
May2005
92.5
785.2302.6
501.2284.023.5
115.3100.544.7
2,252.41,392.1
752.3412.6
339.7609.8
498.0
111.830.0
860.3653.7206.647.6
112.346.7
84.042.641.4
2,136.9
1,452.8599.5376.3143.0
39.440.8
352.7500.6419.4294.2125.244.836.4
657.9
202.6141.5
61.1281.5156.2125.339.161.4
112.460.2
June2005 P
92.4
789.8302.3
503.1286.723.2
117.1101.644.8
2,265.31,399.2
753.3415.0
338.3615.4
502.0
113.430.5
366.1657.6208.547.8
113.047.7
86.544.342.2
2,185.1
1,484.6614.2385.1145.4
39.943.8
360.1510.3428.4298.5129.944.837.1
674.9
208.1143.8
64,3288.0154.9133.140.364.8
114.060.4
July2005 P
791.6
2,264.3
""
-
-
86.4
2,204.2
1,499.3
_
679.0
—
-
-
Production workers1
June2004
57.4
489.9168.5
304.9185.0
72.468.5
1,771.61,109.2
585.1301.2
283.9505.6
421.5
84.118.5
662.4490.3172.139.0
97.7
58.7
21.4
1,632.4
1,080.5480.1305.1114.3
33.4
238.1362.3311.6221.6
90.0
• 531.2
163.4112.4
235.2126.0109.2
52.3
80.3
July2004
67.6
497.1172.2
310.7186.4
73.868.9
1,769.31,108.4
5114.0301.4
282.6505.7
420.6
85.1118.7
660.9490.6170.333.9
96.5
60.2
22.2
1,637.0
1,088.2480.9306.3114.1
33.5
241.2366.1313.7222.5
91.2
528.4
167.6116.3
229.0119.2109.8
51.1
80.7
May2005
59.9
504.2178.6
312.9191.3
80.569.3
1,751.41,087.4
566.9288.7
278.2502.2
414.4
87.818.3
664.0499.2164.839.0
90.9
60.9
25.4
1,665.6
1,107.7472.3300.0111.6
30.4
259.3376.1317.2220.0
97.2
526.7
165.8116.4
222.2124.397.9
49.7
89.0
June2005 P
60.7
608.4177.4
313.3195.1
82.770.4
1,760.01,091.8
566.0289.7
276.3507.5
418.2
39.318.3
668.2502.9165.338.7
91.7
62,7
26.0
1,702.0
1,140.0488.2311.2112.8
33.9
265.4386.4326.0224.8101.2
541.5
171.0118.6
226.0120.5105.5
52.8
91.7
July2005 P
-
-
:
~°
—
-
-
—
-
-
__
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005 P
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Financial activities-ContinuedOffice equipment and othermachinery rental and leasing
Lessors of nonfinancial intangible assets ...
Professional and business services
Professional and technical services
Legal servicesOffices of lawyersOther legal services
Title abstract and settlement offices...Accounting and bookkeeping services
Offices of certified publicaccountantsTax preparation servicesPayroll servicesOther accounting services
Architectural and engineering services ....Architectural servicesLandscape architectural servicesEngineering and drafting servicesBuilding inspection, surveying, andmapping servicesTesting laboratories
Specialized design servicesInterior design servicesGraphic design services
Computer systems design and relatedservices
Custom computer programmingservicesComputer systems design servicesComputer facilities managementservicesOther computer-related services
Management and technical consultingservices
Management consulting servicesAdministrative managementconsulting servicesHuman resource consulting services.Marketing consulting servicesProcess and logistics consultingservicesOther management consultingservices
Environmental consulting servicesOther technical consulting services
Scientific research and developmentservices
Physical, engineering, and biologicalresearchSocial science and humanitiesresearch
Advertising and related servicesAdvertising agenciesPublic relations agenciesMedia buying agencies and mediarepresentativesDirect mail advertisingAdvertising material distribution andother advertising services
Other professional and technicalservices
Marketing research and public opinionpollingPhotographic servicesVeterinary services
53242,953242,9533
54
541154111541195411915412
5412115412135412145412195413541315413254133,4
54135,6,75413854145414154143
5415
541511541512
541513541519
541654161
541611541612541613
541614
54161854162
54169
5417
541715417254185418154182
54183,454186
54187,9
5419
541915419254194
25.716,577
6,750.8
1,180.01,089.1
90.973.2
758.5
362.140.7
126.0229.7
1,276.6187.647.1
802.2
93.2146.5122.234.666.7
1,144.9
503.4474.4
60.0107.1
786.9657.5
291.899.5
106.3
74.9
85.065.963.5
551.7
486.4
65.3427.9166.045.2
39.369.2
79.6
502.1
109.476.3
262.8
49.4
25.3
16,604
6,757.5
1,181.41,090.8
90.672.8
753.2
362.337.9
125.2227.8
1,284.1191.247.0
804.0
94.0147.9121.634.967.9
1,144.3
500.1476.7
60.8106.7
791.6660.7
295.598.9
105.2
75.7
85.467.463.5
553.5
487.9
65.6423.0165.944.9
39.267.9
78.1
504.8
111.374.3
265.2
52.2
26.2
16,837
6,863.3
1,156.61,069.2
87.470.7
804.1
376.754.1
133.9239.4
1,302.9192.151.2
820.5
93.6145.5124.639.368.0
1,173.6
527.8475.2
59.1111.5
799.3668.5
296.6102.0102.7
79.3
87.965.465.4
564.5
499.7
64.8431.1166.545.4
40.367.5
82.7
506.6
110.674.5
268.5
53.6
25.6
17,098
6,951.7
1,181.41,092.6
88.872.2
798.6
375.245.5
138.2239.7
1,330.9197.352.2
836.9
96.9147.6126.040.467.5
1,185.8
531.4480.7
59.7114.0
814.7679.3
302.2103.7103.3
81.0
89.168.067.4
569.1
504.3
64.8433.8167.846.3
40.668.1
82.5
511.4
111.673.0
272.6
25.917,064
6,957.2
1,180.4
791.6
1,338.7
13,435
5,121.7
910.4837.4
73.0
566.0
263.526.699.0
176.9994.0144.736.4
636.473.8
102.790.424.549.1
1,183.7
821.1
390.8373.8
83.9
542.3447.3
189.474.774.8
50.2
58.251.443.6
397.3
350.5
46.8309.3108.631.4
54.6
65.4
413.0
90.681.5
217.8
13,482
5,140.2
913.1840.3
72.8
562.3
263.624.797.4
176.61,002.0
148.036.9
639.6
74.1103.401.825.351.5
902.7
389.2378.1
84.3
549.2452.8
193.976.172.9
50.9
59.052.444.0
399.7
352.9
46.8305.3108.231.7
54.2
63.6
414.1
92.159.5
219.6
13,7505,255.2
886.5818.468.1
611.3
275.642.1
105.0188.6
1,013.2147.736.8
649.7
74.0105.096.129.253.1
923.4
414.1370.9
89.2
574.3476.2
201.579.174.1
55.9
65.649.248.9
411.7
365.4
46.3320.4113.132.3
55.1
68.7
418.3
91.660.8
223.9
13,9925,333.3
908.0839.268.8
607.7
274.834.0
109.5189.4
1,039.8152.538.4
663.4
77.4108.195.829.552.4
933.2
415.5376.9
91.3
587.4484.7
205.881.173.5
57.0
67.351.850.9
415.5
369.2
46.3323.4114.433.0
55.7
68.9
422.5
92.360.1
227.7
13,983
See footnotes at end of table.
88
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(in thousands)
industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
July2005
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Professional and businessservices-Continued
Miscellaneous professional andtechnical services
Management of companies and enterprises
Offices of bank holding companiesand of other holding companies ...Managing offices
Administrative and waste services
Administrative and support servicesOffice administrative servicesFacilities support servicesEmployment services
Employment placement agenciesTemporary help servicesProfessional employer organizations...
Business support servicesDocument preparation servicesTelephone call centers
Telephone answering servicesTelemarketing bureaus
Business service centersCollection agenciesCredit bureausOther business support services
Travel arrangement and reservationservices
Travel agenciesTour operatorsOther travel arrangement services
Investigation and security servicesSecurity and armored car services......
Investigation servicesSecurity guards and patrols andarmored car services
Security systems servicesServices to buildings and dwellings
Exterminating and pest controlservicesJanitorial servicesLandscaping servicesCarpet and upholstery cleaningservicesOther services to buildings anddwellings
Other support servicesPackaging and labeling servicesConvention and trade showorganizersAll other support services
Waste management and remediationservices
Waste collectionWaste treatment and disposal
Hazardous waste treatment anddisposalNonhazardous waste treatment anddisposal
Remediation and other waste services ...Remediation servicesMaterials recovery facilities and otherwaste management services.................
Education and health services,...
Educational services
Elementary and secondary schools........
54193,954193,9
55
551111,2551114565615611561256135613156132561335614561415614256142156142256143561445614556149
5615561515615256159561656161661611
561612,3561625617
561715617256173
56174
56179561956191
5619256199
56256215622
562211
562212,3,9562956291
56292,9
61
6111
53.6
1,730.5
89.81,640.78,095.5
7,762.8322.8117.4
3,481.7260.5
2,411.8809.4760.238.4
368.850.5
318.388.7
156.028.380.0
229.6111.430.387.9
729.6624.644.5
580.1105.0
1,812.7
98.6889.6693.8
49.7
81.0308.8
56.7
52.6199.5
332.7120.3106.2
41.3
64.9106.265.1
41.1
16,753
2,539.3815.6
54.0
1,738.8
90,21,649 68,106 4
7,773.3322.6117,6
3,505,0268 7
2,415.1821,2:754.438.fi.
362.2504
311.8902
155 828478 9
2299111.930,4876
7323626944.8
5820105,4
1,8110
98.6884.4695.9
50.6
81.5300.556.4
48.3195.8
333.1121.3107.6
41.3
66.3104.263.5
40.7
16,657
2,456.3
777.6
53.0
1,731.1
87.11,644.08,243.0
7,922.3333.1118.0
3,650.7270.3
2,512.0868.4753.738.4
355.851.9
303.990.0
162.428.578.6
222.3106.529.786.1
754.0
43.1
596.7114.2
1787.7
54.2
1,748.9
88.71,660.28,397.7
8,070.3337.6118.7
3,740.1276.3
2,576.3887.5749.438.8
351.953.0
298.989.8
161528.079.4
227.8108.231987.7
754.7639.744.5
595.2115.0
1,840.6
10178912666.6
48.9
79.3302.856.8
52.1193.9
320.7122.9103.1
39.6
63.594.753.5
41.2
17,373
2,884.5
874.0
103.79010700.8
50.0
85.1301457.2
47.8196.4
327.4125.11017
38.0
63.7100.657.7
42.9
17,171
2,626.0
842.0
1,754.3
8,352.8
8,019.8
3,700.9
2,538.9
740.5
1,848.9
333.0
17,028
2,504.2
43.1
1,203.4
52.01,151.47,109.9
6,835.4235.5
97.73,242.2
240.62,330.4
671.2636.0
321.040.6
280.471.0
1317
59.8
179.882.7
74.9652.6573.7
534.678.9
1,538.4
74.4784.5578.0
36.2
65.3253.246.9
42.4163.9
274.5104.582.8
55.587.253.6
14,599
42.9
1,215.2
52.61,162.67,126.4
6,852.7234.1
97.63,259.0
248.42,3311
679.5633.2
314.340.3
274.073.1
131.1
60.3
181283.6
73.8655.6576.7
536.7713.9
1,545.6
75.2786.2580.5
37.6
66.1246.446.5
38.21617
273.7104.684.2
56.984.9515
14,528
42.0
1,207.2
55.31,151.97,287.6
7,025.5240.099.7
3,413.7253.0
2,428.4732.3632.4
307.3414
265.973.2
135.4
60.8
173.2812
69.4684.0593.4
555.490.6
1,534.0
79.0794.4559.5
38.0
63.1248.547.7
40.3160.5
262.1105.579.2
53.877.442.7
15,144
42.4
1,225.2
56.51,168.77,433.7
7,164.7246.3100.3
3,496.5258.3
2,486.57517629.3
304.342.6
261773.8
134.2
618
179.183.3
71.1683.9592.6
553.191.3
1,582.6
811803.8590.2
39.2
68.3246.747.9
36.3162.5
269.0107.378.4
54.283.347.2
14,972 14,841
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 96: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/96.jpg)
ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004 2004
June2005 P
Production workers'
June2004
July2004
May2005
June2005 P
July2005 P
Education and health services-ContinuedJunior collegesColleges and universitiesBusiness, computer, and managementtraining
Business and secretarial schools andcomputer trainingManagement training
Technical and trade schoolsOther schools and instruction
Fine arts schoolsSports and recreation instructionMiscellaneous schools and Instruction .
Educational support services
Health care and social assistanceHealthcare
Ambulatory health care servicesOffices of physicians
Offices of physicians, except mentalhealthOffices of mental health physicians....
Offices of dentistsOffices of other health practitioners
Offices of chiropractorsOffices of optometristsOffices of mental health practitioners...Offices of specialty therapistsOffices of all other health practitioners.
Offices of podiatristsOffices of miscellaneous healthpractitioners
Outpatient care centersOutpatient mental health centersOutpatient care centers, exceptmental health
HMO medical centersKidney dialysis centersFreestanding emergency medicalcentersMiscellaneous outpatient carecenters
Medical and diagnostic laboratoriesMedical laboratoriesDiagnostic imaging centers
Home health care servicesOther ambulatory health care services ....
Ambulance servicesAll other ambulatory health careservices
Blood and organ banksMiscellaneous ambulatory healthcare services
HospitalsGeneral medical and surgical hospitals...Psychiatric and substance abusehospitalsOther hospitals
Nursing and residential care facilitiesNursing care facilitiesResidential mental health facilities
Residential mental retardationfacilitiesResidential mental and substanceabuse care
Community care facilities for the elderly..Continuing care retirementcommunities
61126113
6114
61141,26114361156116611616116261163,96117
62621,2,3
6216211
621111621112621262136213162132621336213462139621391
621399621462142
62149621491621492
621493
621410,9862156215116215126216621962191
62199621991
621999
6226221
62226223
62362316232
62321
623226233
623311
76.71,168.8
81.1
36.145.097.3
228.257.557.8112.971.6
14,213.812,080.8
4,959.62,052.8
2,010.342.5763.8524.9112.594.551.8195.071.132.8
38.3447.7148.9
298.868.172.1
65.4
93.2189.5133.556.0
777.8203.1117.8
85.356.5
28.8
4,299.34,057.8
92.0149.5
2,821.91,579.6491.5
75.41,123.4
80.0
34.545.596.8
236.452.668.3115.565.7
14,201.312,100.4
4,965.12,056.2
2,013.243.0764.4525.7111.993.352.2196.272.132.7
39.4449.9148.2
301.769.273.1
65.6
93.8189.4133.456.0
776.2203.3117.7
85.657.1
28.5
4,311.24,069.7
91.3150.2
2,824.11,580.3
337.1
154.4582.8
277.8
493.8
340.3
153.5583.5
279.0
88.21,414.4
80.3
35.444.9101.1244.164.560.4119.282.4
14,488.412,261.3
5,069.12,110.6
2,065.145.5
768.4531.3111.296.547.7196.579.435.4
44.0456.3148.7
307.667.575.9
67.7
96.5193.5136.157.4
799.6209.4120.6
88.860.1
28.7
4,354.24,107.2
93.0154.0
2,838.01,569.8503.7
347.7
156.0598.3
288.0
83.11,206.6
79.5
35.244.398.4
242.960.464.6117.973.5
14,545.112,336.9
5,101.32,124.0
2,078.245.8772.7533.3111.099.247.2197.278.735.4
43.3457.8148.6
309.267.676.5
67.9
97.2194.0136.557.5807.4212.1121.8
90.360.6
29.7
4,383.84,135.2
93.0155.6
2,851.81,578.1504.8
348.3
156.5601.7
288.9
14,523.412,359.1
5,104.42,127.8
12,445.410,607.3
4,172.31,666.1
460.2
803.9
4,398.1
2,856.61,578.3
1,633.732.4
643.7417.985.873.541.9160.056.7
385.1126.0
259.1
77.7164.0112.8
715.8179.7109.3
70.447.3
3,936.53,723.4
82.0131.1
2,498.51,4212425.7
295.2
130.5515.0
247.0
12,445.310,635.0
4,184.91,669.3
1,635.9
12,697.210,764.6
4,267.01,709.6
33.4645.7422.186.072.942.7162.757.8
388.9125.4
263.5
77.7163.8113.0
715.0180.1109.3
70.847.9
3,947.03,733.0
81.3132.7
2,503.11,422.5428.6
297.9
130.7516.7
248.4
1,674.235.4
650.6424.183.276.437.9162.564.1
389.8127.9
261.9
79.4169.3117.3
738.3185.3110.7
74.651.4
3,986.83,766.2
82.3138.3
2,510.81,407.0436.9
304.5
132.4531.4
258.3
12,744.210,834.0
4,297.61,724.8
1,689.435.4
652.5424.483.278.137.4163.062.7
390.6127.4
263.2
80.2169.7117.6
747.7187.9111.5
76.452.0
4,013.83,791.2
83.2139.4
2,522.61,414.4436.6
304.5
132.1534.8
259.2
See footnotes at end of table.
90
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on iioofarm payrolls by detailed Industry—"Continued
(In thousands)
industry2002
NAICScode
A8! employees
June2004
July2004
May2005
June2005 P
July2005 p
Production workers'
June2004
July2004
May2005
June2005 P
Juh
Education and health serviees-ContinyedHomes for the elderly
Other residential care facilities
Social assistanceIndividual and family services
Child and youth servicesServices for the elderly and disabled ....Other individual and family services.....
Emergency and other relief services .......Community food servicesCommunity housing, emergency, andrelief services
Vocational rehabilitation servicesChild day care services
Leisore and hospitality........
Arts, entertainment, and recreation .
Performing arts and spectator sportsPerforming arts companies
Musical groups and artistsTheater, dance, and other performingarts companies...........
Spectator sportsSports teams and dubsRacetracks ....Other spectator sports
Arts and sports promoters and agentsand managers for public figures.......Independent artists, writers, andperformers
Museums, historical sites, zoos, and
MuseumsHistorical sitesZoos, botanical gardens, natureparks, and similar institutions......
Amusements, gambling, and recreation .....Amusement parks and arcades
Amusement and theme parks...........Amusement arcades..........................
Gambling industries..............................Casinos, except casino hotelsOther gambling industries
Other amusement and recreationindustries
Golf courses and country clubs -....Skiing facilitiesMarinasFitness and recreational sportscentersBowling centersAll other amusement and recreationIndustries.....................
Accommodations and food services
AccommodationsTraveler accommodations and otherlonger-term accommodations
Hotels and motels, except casinohotelsCasino hotels .............................Miscellaneous traveleraccommodations
Bed-and-breakfasi inns ........All other traveler accommodationsand rooming and boarding houses...
RV parks and recreational camps
6233126239
6246241624116241262419624262421
62422,362436244
71
711711171113
71111,2,97112711211711212
711219
7113,4
7115
7127121171212
71213,9
7137131713117131271327132171329
7139713917139271393
7139471395
71399
72
721
7211
7211172112
72119721191
721199,307212
305.0168.0
2,133.0856.9155.1398.8303.0132.028.2
103.8384.0760.1
13,039
2,077.2
381.8117.340.9
76.4135.063.947.124.0
88.7
40.8
126.971.016.4
39.5
1,568.5207.0187.819.2
139.099.939.1
1,222.5404.1
10.637.5
555.966.9
147.5
10,961.8
1,887.6
1,812.1
1,497.0278.4
36.717.5
19.275.5
304 5166 5
2,100.9854,5155.6399.2299.7134.528.4
106.1386.3725.6
13,113
2,125.1
382.8114.943.5
71.4135.365.247.222.9
90.9
41.7
130.372.916.6
40,3
1,612.0211.7191.220.5
138.299.239.0
1,262.1412.2
11.538.3
572.864.8
162.5
10,988.2
1,940.5
1,839.6
1,520.6280.5
38.518.9
19.6100.0
310.3166.2
2,227.1895.8160.2417.7317.9130.627.8
102.8392.3808.4
12,945
1,899.1
312.8167.2
2,208.2890.0160.1416.5313.4131.328.3
103.0394.6792.3
13,339
2,080.0
2,164.3
745.7
13,430
2,139.2
268.0136.6
1,838.1734.1128.6355.0250.5103.823.1
80.7333.3666.9
11,476
1,794.9
268.3135.3
1,810.3732.0130.1353.6248.3105.923.3
82.6334.6637.8
11.551
1,841.4
273.1135.5
1,932.6773.6135.3374.3264.0102.023.0
79.0341.7715.3
11,384
1,628.4
373.3112.542.3
70.2132.262.547.022.7
83.8
44.8
120.767.015.0
38.7
1,405.1180.8161.619.2
137.198.838.3
1,087.2366.3
11.334.2
492.870.2
112.4
11,046.2
1,835.7
19790.8
1,462.9290.2
37.718.0
19.744.9
378.5110.643.6
67.0137.366.547.723.1
86.1
44.5
128.169.416.1
42.6
1,573.4211.9189.922.0
138.699.039.6
1,222.9414.5
11.636.9
564.863.2
131.9
11,259.2
1,925.4
1,856.3
1,524.6293.2
38.519.6
18.969.1
392.5
129.8
1,616.9
318.699.834.1
65.7119.7
43.2
69.8
29.3
100.555.0
31.6
1,375.8194.9179.1
11,290.7
1,972.2
122.188.733.4
1,058.8346.8
7.531.2
494.057.4
121.9
9,680.7
1,634.3
1,571.9
1,296.3
31.2
62.4
321.498.437.3
61.1120.2
43.0
71.8
31.0
104.856.9
33.1
1,415.2199.2182.2
121.488.033.4
1,094.6354.1
8.2311.8
509.255.7
135.6
9,709.7
1,682.8
1,596.4
1,317.0
32.5
86.4
312.095.636.8
58.8116.8
42.0
65.0
34.6
96.252.3
31.0
1,220.2162.3146.9
119.286.133.1
938.7314.9
8.128.3
435.959.6
91.9
9,755.9
1,576.8
1,539.6
1,252.3
31.2
37.2
275.6136.8
1,910.2764.2134.3
260.3102.623.6
79.0343.7699.7
11,762
1,800.7
11,853
317.894.538.3
56.2121.2
42.4
68.0
34.1
103.754.9
34.9
1,379.2192.7174.5
119.586.033.5
1,067.0361.1
8.130.7
504.553.3
109.3
9,961.3
1,662.3
1,603.6
1,312.8
31.8
58.7
See footnotes at end of table.
91
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAEMPLOYMENTNOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry2002
NAICScode
All employees
June2004
July2004
May2005
June2005 P
Production workers'
June2004
July2004
May2005
June2005 P 2005 P
Leisure and hospitality-ContinuedRV parks and campgroundsRecreational and vacation camps
Food services and drinking placesFull-service restaurantsLimited-service eating places
Limited-service restaurantsCafeteriasSnack and nonalcoholic beveragebars
Special food servicesFood service contractorsCaterers and mobile food services
Drinking places, alcoholic beverages
Other services
Repair and maintenanceAutomotive repair and maintenance
Automotive mechanical and electricalrepair ,
General automotive repairAutomotive exhaust system repairAutomotive transmission repairOther automotive mechanical andelec. repair
Automotive body, interior, and glassrepair
Automotive body and interior repair...Automotive glass replacementshops
Other automotive repair andmaintenance
Car washesAuto oil change shops and all otherauto repair and maintenance
Electronic equipment repair andmaintenance
Computer and office machine repair..Miscellaneous electronic equipmentrepair and maintenance
Commercial machinery repair andmaintenanceHousehold goods repair andmaintenance
Personal and laundry servicesPersonal care services
Hair, nail, and skin care servicesBarber shops and beauty salonsNail salons
Other personal care servicesDeath care services
Funeral homes and funeral servicesCemeteries and crematories
Dry-cleaning and laundry servicesCoin-operated laundries and drycleanersDry-cleaning and laundry services,except coin-operatedLinen and uniform supply
Linen supplyIndustrial launderers
Other personal servicesPet care services, except veterinaryPhotofinishingParking lots and garagesAll other personal services
Membership associations andorganizations
See footnotes at end of table.
721211721214
72272217222722211722212
72221372237223172232,37224
8118111
81111811111811112811113
811118
81112811121
811122
81119811192
8111918
8112811212
811211,3,9
8113
8114
812812181211812111,281211381219812281221812228123
81231
8123281233812331812332812981291812928129381299
813
37.438.1
9,074.24,328.43,833.33,311.8
131.8
389.7531.3372.1159.2381.2
5,504
1,235.1898.3
404.7313.9
18.628.4
43.8
263.6228.2
35.4
230.0148.3
81.7
98.844.1
54.7
158.1
79.91,300.7
573.1472.6444.8
27.8100.5142.9105.637.3
356.7
40.2
186.5130.076.653.4
228.042.443.5
102.539.6
2,968.6
45.455.5
9,047.7
29.015.9
9,210.54,336.63,818.43,300.9
129.3
4,403.63,883.83,368.3
131.5
36.432.7
9,333.8 9,318.5
31.830.6
8,046.4
388.2513.9364.0149.9378.8
5,502
1,235.5897.3
404.0314.0
18.728.1
43.2
263.1227.1
36.0
230.2146.9
83.3
99.544.8
54.7
158.0
80.7
1,287.2564.3467.3440.6
26.797.0
143.1106.836.3
353.9
39.9
183.1130.977.953.0
225.943.141.9
102.038.9
2,979.5
384.0550.4392.3158.1372.7
5,484
1,245.2899.3
400.1313.9
18.425.5
42.3
260.9227.2
33.7
238.3152.9
85.4
98.245.1
53.1
166.9
80.8
1,300.6580.8473.4445.3
28.1107.4143.7109.134.6
351.8
40.2
181.3130.376.753.6
224.344.335.199.945.0
2,938.0
4,476.63,928.13,399.9
128.8
399.4553.7389.2164.5375.4
5,550
1,254.9906.9
402.8314.7
18.626.0
43.5
264.5230.2
34.3
239.6153.7
85.9
97.244.5
52.7
168.0
82.8
1,305.1582.6478.1449.1
29.0104.5143.6108.734.9
351.7
40.1
180.9130.777.753.0
227.245.432.0
102.946.9
2,990.2
5,548
1,254.4
1,292.9
3,000.9
3,902.53,357.42,899.4
120.6
337.4459.6323.2136.4326.94,505
974.5711.5
308.6241.3
14.5
32.5
205.3177.9
27.4
197.6129.3
68.3
76.635.1
41.5
123.1
63.3
1,090.8494.1408.0384.5
86.1107.577.829.7
298.4
34.6
159.6104.264.140.1
190.8
35.391.1
2,439.8
39.646.8
8 026.93,913.03,344.92,891.3
117.2
336.4443.0316.1126.9326.0
4,508
974.8709.7
307.4241.0
14.4
31.8
205.8177.2
28.6
196.5126.6
76.335.9
40.4
124.2
64.6
1,080.1486.7405.1382.7
81.6107.579.328.2
297.5
33.9
158.6105.065.339.7
188.4
33.990.7
2,453.2
25.012.2
8,179.13,968.83,412.52,963.8
120.2
328.5477.2341.2136.0320.6
4,518
1,002.9726.2
311.3245.3
13.8
32.5
209.2182.6
26.6
205.7134.9
70.8
78.037.6
40.4
133.5
65.2
1,094.550114087385.4
92.4107.681026.6
292.4
33.9
158.2100.361339.0
193.4
29.889.7
2,420.1
31227.5
8,299.04,038.43,456.42,995.9
117.9
342.6480.8339.51413323.4
4,575
1,011.5732.2
3115245.1
13.6
33.0
214.4187.1
27.3
206.3135.0
713
76.836.9
39.9
135.1
67.4
1,096.5502.4412.9389.1
89.5106.179.526.6
292.1
33.9
158.1100.161.938.2
195.9
26.892.7
2,466.6
4,578
92
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ESTABLISHMENT DATAEMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—-Continued
(Sn thousands)
industry2002
NAICScode
Ail employees
June2004
July2004
May2005
June2005 P
July2005 f
Production workers1
June2004
July2004
May2005
June2005 P
July2005 P
Other services-ContinuedGrantmaking and giving services .........
Grantmaking foundationsVoluntary health organizations.......Other grantmaking and givingservices
Social advocacy organizationsHuman rights organizationsEnvironment, conservation, andother social advocacy organizations...
Civic and social organizationsProfessional and similar organizations ....
Business associationsProfessional organizationsLabor unions and similar labororganizationsMiscellaneous professional andsimilar organizations
Government .............;...........Federal
Federal, except U.S. Postal Service .......Federal hospitalsDepartment of Defense
U.S. Postal Service3....................Other Federal government
State governmentState government educationState government, excluding education .
State hospitalsState government generaladministration........Other State government....................
Local governmentLocal government educationLocal government, excluding education .
Local government utilities ..................Local government transportation......Local hospitalsLocal government generaladministrationOther local government
8132813211813212
8132198133813311
813312,9813481398139181392
81393
81394,9
125.948.637.1
40.2171.642.9
128.7434.8538.2131.271.8
1412
194.0
21,5432,742
1,961.5245.3472.2780.2
1,217.8
4,7762,017.32,758.7
350.4
1,869.2539.1
14,0257,733.06,292.2
239.9247.3658.5
4,097.11,049.4
127.649.637.2 I
40.9173.144.6
128.11447.7533.0128.B71.4
134.0
198.4
20,4302,741"
1,965.6245.9473.1781.6
1,220.5
4,7101,940.92,769.0
35111
1,877.0541.0
12,973.6.62Q.C6,353.4
240.7'247.Cs658.3
4,157.81,048.9
131.752.636.5
42.6182.941.7
141.2407.0518.3134.371.8
136.1
176.1
22,1532,720
1,941.3248.8470.0778.9
1,196.2
5,0712,322.62,748.8
352.8
1,864.1531.9
14,3628,184.66,177.6
238.1246.2664.3
3,973.11,055.9
129.751.036.5
42.2180.441.9
138.5433.1548.9137.772.7
140.4
198.1
21,7142,740
1,960.2249.9476.1779.4
1,207.7
4,8212,053.32,767.6
353.9
1,877.1536.6
14,1537,806.16,347.2
241.8241.6668.7
4,111.61,083.5
92.835.6
28.7137.434.4
103.0
399.894.146.6
99.4
159.7
95.337.1
29.4137.535.5
102.0381.1398.992.9
46.5
94,2
165.3
98.639.2
32.1145.932.3
113.6342.8392.498.9
48.3
97.5
147.7
96.737.7
31.7143.132.6
110.5366.2420.2101.848.3
100.0
169.6
20,6012,744
1,965.1
778.9
4,7391,968.62,770.2
13,1186,708.16,409.8
1 Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisory
• Excludes nonoffice commissioned real estate sales agents.3 Includes rural mail carriers.- Data not available.
P = preliminary.NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduced with the release ofJanuary 2006 estimates, all unadjusted data from April 2004 forwardare subject to revision.
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry
(in thousands)
State and area
Total
June2004
1,907.351.349.9
511.056.860.253.038.4
193.2170.3168.489.4
319.0165.538.1
2,348.460.8
1,660.555.8
353.746.5
1,162.2187.5117.137.148.2
328.739.8
14,600.9215.0
72.541.6
286.633.1
5,471.133.958.6
154.561.9
288.165.7
1,156.1862.8128.1
1,268.81,969.2
866.5100.5171.595.8
186.7203.0125.2105.239.0
2,200.0158.1251.2
1,179.9131.955.474.455.1
1,666.6415.1
69.7540.9274.2136.070.3
430.462.4
676.92,876.7
May2005
1,933.351.251.0
513.056.862.253.938.3
197.1175.8171.294.0
311.3164.238.7
2,467.162.9
1,741.858.7
373.051.2
1,175.0194.4118.138.848.4
331.940.7
14,777.8217.0
73.043.9
291.734.0
5,516.934.058.9
157.061.2
288.066.0
1,173.3868.6127.6
1,278.61,977.6
858.7101.0173.296.2
186.7205.5127.0104.740.5
2,218.4163.0254.6
1,191.0131.855.977.956.3
1,679.3412.1
68.7545.2271.7135.269.9
435.664.8
680.12,932.5
June2005P
1,936.651.351.0
513.257.162.354.338.6
198.0175.7172.093.9
323.4169.238.8
2,437.863.5
1,723.358.3
365.450.9
1,174.3194.3117.738.848.3
332.940.5
14,835.4217.7
73.144.1
293.834.3
5,526.833.859.3
158.961.9
288.467.3
1,175.7874.7128.2
1,285.01,983.3
864.6101.6174.297.7
188.0206.9127.5105.340.7
2,246.8163.0257.4
1,201.7133.956.277.356.3
1,687.8415.1
69.2545.2272.1138.370.4
439.765.3
682.92,955.1
Natural resources and mining
June2004
12.4( 1 )( 1 )
2.9( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
. 10.42.1
.9
8.4( 1 )
2.1( 1 )
1.3( 1 )
7.1( 1 )( 1 )( 1 )( 1 )( 1 )0)
23.38.2
( 1 )( 1 )
.2( 1 )
4.4( 1 )( 1 )( 1 )( 1 )
.7( 1 )
1.2.7.2.4
1.4.2
( 1 ).8
< 1 ).3.2.4
( 1 )( 1 )
14.5( 1 )( 1 )( 1 )( 1 )(])(1)(1)
.8( 1 )
2 )( 1 )( 1 )( 1 )( 1 )
( 1 )( 1 )
( 1 )( 1 )
May2005
12.8( 1 )( 1 )
3.2( 1 )
(J)(1)(1)(1)(1)(1)(1)10.52.4
.9
9.2( 1 )
2.3( 1 )
1.5
<1>
7.4( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
22.68.3
(])(1)
.2( 1 )
4.7( 1 )( 1 )( 1 )( 1 )
.7( 1 )
1.2.7.2.4
1.4.2
( 1 ).9
( 1 ).3.2.4
( 1 )( 1 )
15.9( 1 )( 1 )( 1 )( 1 )(])< )(1)
.8( 1 )( 2 )( 1 )( 1 )( 1 )( 1 )
( 1 )( 1 >
( 1 )( 1 )
June2005P
12.9( 1 )( 1 )
3.2( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
10.52.31.0
9.5( 1 )
2.4( 1 )
1.5( 1 )
7.5( 1 )( 1 )( 1 )( 1 )( 1 )( ' )
23.28.3
( 1 )( 1 )
.2( 1 )
4.8( 1 )( 1 )( 1 )( 1 )
( 1 ) ' 7
1.2.7.2.4
1.4.2
( 1 ).9
( 1 ).3.2.4
( 1 )( 1 )
16.1( 1 )( 1 )( 1 )( 1 )( ' )< )( 1 )
.8( 1 )( 2 )( 1 )( 1 )( 1 )0)(1)(1)(1)(1)
Construction
June2004
102.01.62.5
33.24.13.43.32.06.8
11.79.78.7
20.112.33.3
191.13.4
140.77.4
23.94.4
53.29.96.72.42.3
18.21.5
856.215.64.01.8
20.11.3
232.72.73.5
12.44.6
17.35.2
111.072.76.8
87.8112.542.6
7.210.25.3
13.815.812.16.82.9
156.56.8
16.388.510.35.53.83.9
68.614.9
( 2 )21.812.24.83.1
27.03.3
12.3180.0
May2005
105.31.72.5
32.44.14.23.52.16.6
14.49.29.6
18.311.53.0
208.83.9
154.47.6
26.25.0
53.310.46.52.42.2
17.41.6
888.416.04.01.7
21.91.5
238.82.63.8
13.04.6
18.35.2
118.472.0
7.191.7
114.740.2
7.510.25.7
13.916.013.16.52.8
160.66.6
16.589.910.45.7
10.34.0
72.114.7
( 2 )21.012.54.83.1
28.03.6
12.3184.8
June2005P
105.31.72.5
32.34.14.23.52.16.6
14.49.19.6
20.713.03.4
212.43.9
157.27.8
26.65.2
54.210.66.62.42.2
17.81.6
911.416.64.11.7
22.51.6
242.52.74.0
13.14.7
18.55.5
119.573.5
7.192.9
117.841.6
7.610.55.9
14.316.513.26.73.1
165.86.8
17.192.110.85.9
10.54.2
74.214.9
( 2 )21.612.85.13.1
28.63.7
12.7187.5
AlabamaAnniston-OxfordAubum-OpelikaBirmingham-HooverDecaturDothanFlorence-Muscle ShoalsGadsdenHuntsville :MobileMontgomeryTuscaloosa
AlaskaAnchorageFairbanks
ArizonaFlagstaffPhoenix-Mesa-ScottsdalePrescottTucsonYuma
Arkansas '.Fayetteville-Springdale-RogersFort SmithHot SpringsJonesboroLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldChicoEl CentraFresnoHanford-CoreoranLos Angeles-Long Beach-Santa Ana ....MaderaMercedModestoNapaOxnard-Thousand Oaks-VenturaReddingRiverside-San Bernardino-OntarioSacramento—Arden-Arcade—RosevilleSalinasSan Diego-Carisbad-San MarcosSan Francisco-Oakland-FremontSan Jose-Sunnyvale-Santa ClaraSan Luis Obispo-Paso RoblesSanta Barbara-Santa Maria-GoletaSanta Cruz-WatsonvilleSanta Rosa-PetalumaStocktonVallejo-FairfieldVisalia-PortervilleYuba City
ColoradoBoulderColorado SpringsDenver-AuroraFort Collins-LovelandGrand Junction ,GreeleyPueblo
ConnecticutBridgeport-Stamford-NorwalkDanbury »Hartford-West Hartford-East HartfordNew HavenNorwich-New LondonWaterbury
DelawareDover
District of ColumbiaWashington-Arlington-Alexandria
See footnotes at end of table.
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
8-12. Employees on noofarm payrolls In States and selected areas by major Industry—Continued
(In thousands)
State and area
AlabamaAnniston-OxfordAubum-OpelikaBirmingham-HooverDecaturDothan .Florence-Muscle ShoalsGadsdenHuntsvilleMobile . .MontgomeryTuscaloosa
AlaskaAnchorageFairbanks . .
Flagstaff ... ..Phoenix-Mesa-ScottsdalePrescottTucsonYuma
Arkansas ,Favetteville-SDrinadale-RoaersFort SmithHot SpringsjonesboroLittle Rock-Noith Little RockPine Bluff
California ..Bakersfield .. .Chico ..„El CentroFresno . . .Hanford-CorcoranLos Anaeles-Lona Beach-Santa Ana . .Madera .MercedModestoNapaOxnard-Thoussind Oaks-VenturaRedding .Riverside-San Bernardino-Ontario . . .Sacramento—Arden-Arcade—Roseville .......SalinasSan Diego-Carlsbad-San MarcosSan Francisco-Oakland-FremontSan Jose-Sunnyvale-Santa ClaraSan Luis Obispo-Paso RobiesSanta Barbara-Santa Maria-GoletaSanta Cruz-WatsonvilleSanta Rosa-PetaJumaStocktonVallejo-FairfieldVisalia-PortervilleYubaCity ..........
ColoradoBoulderColorado SpringsDenver-Aurora ...Fort Collins-LovelandGrand JunctionGreeleyPueblo ... . . . ....
Connecticut
Hartford-West Hartford-East HartfordNew Haven ......Norwich-New LondonWaterbury
Delaware . ....Dover . . .
District of ColumbiaWashinoton-Arlinaton-AJexandria
Manufacturing
June2004
292.08.26.8
43.413.78.37.55.6
29.314.517.113.4
14.32.1
.6
177.23.1
131.73.3
28.43.1
204.933.528.6
3.59.0
25.47.3
1,537.912.64.12.4
26.63.7
673.13.5
11.222.511.038.8
2.9121.346.5
7.2105.0144.3170.5
6.313.57.2
24.121.2
9.211.02.9
155.519.220.072.214.83.5
10.14.3
198.942.2
64.934.217.410.9
35.54.8
2.466.4
May2005
297.27.66.7
43.813.58.57.35.8
30.214.618.415.0
10.42.0
.6
175.83.7
130.63.3
28.32.1
202.533.528.4
3.58.8
25.47.1
1,532.512.63.92.6
27.43.9
663.53.3
11.422.610.738.0
2.9120.748.6
6.7103.8144.0169.1
6.413.27.6
23.720.5
9.211.12.8
153.818.820.673.214.53.59.84.0
198.140.9
( 2 )64.033.917.611.2
34.74.0
2.565.8
June2005P
298.27.66.7
! 44.013.48.77.55.9
30.414.519.215.0
14.52.1
.6
176.43.7
131.13.4
28.62.1
203.133.728.5
3.58.3
25.67.1
1,539.612.64.02.6
29.14.0
665.13.3
11.723.610.938.3
3.0121.548.8
6.8104.1144.7170.6
6.413.57.9
23.721.5
9.311.12.8
154.119.120.473.414.73.59.94.0
198.541.2
64.533.817.911.3
33.34.0
2.566.4
Trade, transportation, and utilities
June2004
376.99.67.8
111.710.314.811.07.1
30.338.230.715.0
65.937.3
7.5
458.39.4
337.510.757.8
8.7
241.844.723.2
7.39.5
68.47.4
2,747.241.013.710.156.15.0
1,042.74.9
11.232.38.9
52.713.6
249.2146.125.2
214.3357.4129.7
19.527.618.734.147.326.322.3
7.8
407.322.539.3
233.121.912.314.010.6
309.675.415.989.150.722.213.6
81.912.9
28.3401.7
May2005
381.110.28.4
112.810.315.311.07.0
30.738.430.115.4
64.237.0
7.6
476.29.3
350.111.559.610.1
242.745.423.0
7.49.6
67.37.3
2,749.142.113.711.856.4
5.21,044.0
5.011.032.2
9.052.613.7
253.5149.225.8
214.3354.9127.3
19.628.518.633.947.226.221.5
8.2
410.223.339.4
233.821.912.214.010.7
313.174.415.789.349.622.013.7
82.013.2
27.9405.6
June2005P
382.310.18.5
113.210.315.311.17.3
30.838.630.415.5
66.838.2
7.7
478.09.5
351.911.659.810.0
243.445.722.9
7.39.6
67.87.3
2,763.842.113.911.956.8
5.31,049.0
4.911.032.6
9.052.413.9
254.5150.325.9
215.5356.3128.619.628.818.734.047.526.321.8
8.2
414.023.439.6
235.322.312.314.110.8
316.475.015.989.950.522.713.6
83.513.5
28.1410.5
Information
June2004
31.41.2.5
13.8.4.9.7.5
2.22.42.61.0
6.95.0
.6
48.6.5
36.4.7
7.51.1
20.32.41.7
.79.5
.2
475.92.61.4.4
4.5.3
238.6.7
1.52.5
.77.01.2
13.921.22.3
36.475.432.9
1.54.01.84.32.81.71.3
.4
82.09.3
10.152.02.61.01.1.8
39.412.2
11.58.72.11.1
7.0.7
24.3108.9
May2005
30.81.0
.513.3
.4
.9
.7
.52.22.42.61.0
6.95.0
.6
46.6.5
34.9.7
7.21.2
20.12.51.6
.79.6
.2
491.42.61.5
.44.5
.3249.4
.61.42.6
.76.81.0
13.719.92.3
36.773.634.2
1.54.02.04.22.81.71.2
.4
77.08.89.3
48.82.4
.91.0
.8
39.312.1
11.78.82.01.1
6.7.5
23.3107.6
June2005P
30.81.0.5
13.2.4.9.7.5
2.22.42.61.0
7.05.0
.6
46.7.5
34.9.7
7.11.2
20.12.51.6
.79.5
.2
495.42.61.5.4
4.5.3
253.1.6
1.42.6
.76.81.0
13.719.92.3
36.973.534.3
1.54.12.04.22.81.71.2
.4
77.48.99.3
48.92.41.01.0.8
39.612.2
11.98.92.01.1
6.7.5
23.6108.1
See footnotes at end of table.
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Financial activities
June2004
May2005
June2005P
Professional and business services
June2004
May2005
June2005P
Education and health sen/ices
June2004
May2005
June2005P
AlabamaAnniston-OxfordAubum-OpelikaBirmingham-HooverDecaturDothanFlorence-Muscle ShoalsGadsdenHuntsvilleMobileMontgomeryTuscaloosa
AlaskaAnchorageFairbanks
ArizonaFlagstaffPhoenix-Mesa-ScottsdalePrescottTucsonYuma
ArkansasFayetteville-Springdale-RogersFort SmithHot SpringsJonesboroLittle Rock-North Little RockPine Bluff
CaliforniaBakersfieldChicoEl CentroFresnoHanford-CorcoranLos Angeles-Long Beach-Santa Ana ....MaderaMercedModestoMapaOxnard-Thousand Oaks-VenturaReddingRiverside-San Bernardino-OntarioSacramento—Arden-Arcade—RosevilleSalinasSan Diego-Carlsbad-San MarcosSan Francisco-Oakland-FremontSan Jose-Sunnyvale-Santa ClaraSan Luis Obispo-Paso RoblesSanta Barbara-Santa Maria-GoletaSanta Cruz-WatsonvilleSanta Rosa-PetalumaStocktonVallejo-FairfieldVisalia-PortervilleYuba City
ColoradoBoulderColorado SpringsDenver-AuroraFort Collins-LovelandGrand JunctionGreeleyPueblo
ConnecticutBridgeport-Stamford-NorwalkDanburyHartford-West Hartford-East HartfordNew HavenNorwich-New LondonWaterbury
DelawareDover
District of ColumbiaWashington-Arlington-Alexandria ~
97.41.41.5
40.32.42.32.11.55.89.2
10.53.3
15.110.01.5
164.51.6
138.11.9
16.31.4
51.47.14.01.61.9
19.81.4
900.78.64.11.3
13.91.3
374.1.8
1.76.12.5
24.23.5
45.559.56.0
81.6154.735.14.68.63.7
10.09.65.94.31.5
155.27.6
17.298.9
5.63.14.32.3
141.741.8
( 2 )68.214.43.42.8
45.12.9
31.3158.5
95.71.51.5
39.02.22.32.11.45.99.7
10.83.3
15.010.01.4
168.51.6
141.82.0
18.31.5
51.97.24.11.61.9
19.71.4
917.78.84.31.4
13.91.2
377.8.8
1.76.12.5
23.53.4
46.160.46.1
82.3159.835.44.78.63.79.79.55.94.41.7
157.17.6
17.799.8
5.73.24.32.3
140.642.3
( 2 )68.213.13.32.8
44.42.8
31.2160.4
96.31.51.5
39.12.32.42.11.46.09.6
10.93.3
15.310.31.5
168.91.6
142.12.0
18.21.5
52.47.24.21.62.0
19.91.4
920.78.84.41.4
13.81.2
378.6.8
1.76.22.5
23.33.5
46.460.4
6.182.6
160.435.44.73.63.89.79.56.04.41.7
158.97.9
17.6100.2
5.83.24.32.3
142.042.6
( 2 )69.013.43.42.8
45.32.8
31.6162.2
198.65.04.8
61.75.35.13.63.9
41.022.017.56.2
24.417.72.4
335.53.5
271.94.3
42.13.1
107.728.710.72.73.6
40.32.6
2,093.121.4
5.62.1
27.51.4
819.82.73.5
14.25.6
37.16.3
126.598.411.8
204.9323.3165.1
9.022.2
9.219.818.711.79.02.8
304.427.135.9
185.914.75.26.74.6
200.470.8
8.557.426.410.26.2
62.43.5
146.6619.4
204.35.54.7
64.05.24.74.03.7
42.423.117.96.8
23.717.22.2
346.43.5
280.14.2
43.03.3
109.130.011.12.83.4
44.22.6
2,137.821.9
5.52.1
27.31.3
838.32.93.3
15.05.5
38.26.6
128.299.411.6
205.0320.8165.0
8.722.5
9.420.019.911.99.42.8
309.628.336.9
188.914.55.26.64.8
198.469.1
8.658.325.010.26.3
63.33.6
146.4638.3
205.95.64.9
64.15.34.74.03.7
42.623.218.06.8
24.717.82.4
348.63.7
281.84.5
43.03.5
109.830.211.22.83.5
44.22.6
2,152.522.0
5.52.2
27.51.3
840.12.93.5
15.15.5
38.26.8
129.2100.2
11.6206.0323.0165.7
8.822.4
9.420.220.012.19.22.8
315.628.737.7
191.914.85.36.74.8
201.269.5
8.858.525.510.36.1
64.33.8
149.0646.0
191.44.72.8
59.04.67.24.66.8
13.120.818.96.3
34.920.94.2
258.06.6
172.67.9
47.15.8
141.216.914.06.97.2
42.15.9
1,559.622.012.42.5
35.23.2
593.15.55.5
19.38.0
27.710.4
119.084.312.4
122.7216.9
95.810.719.711.922.624.015.49.65.0
218.316.723.6
115.913.57.67.69.2
266.058.7
( 2 )83.260.917.814.1
51.77.1
89.3299.4
196.84.42.9
59.34.87.64.86.9
14.020.719.86.7
36.322.0
4.2
273.37.1
181.98.5
49.56.3
146.017.613.97.07.5
42.06.1
1,597.522.312.52.8
35.53.6
608.55.75.5
19.47.8
28.310.5
118.786.712.2
123.8224.9
97.010.820.211.523.125.115.79.55.3
224.417.324.3
119.813.67.87.89.4
272.659.8
( 2 )85.261.118.31.4.1
53.67.5
92.6311.1
196.64.42.9
59.44.97.54.96.9
14.120.619.8
36.321.94.2
272.17.0
181.48.3
49.46.4
144.817.613.97.07.5
42.16.1
1,580.922.412.62.7
35.43.6
5.65.4
19.47.8
28.410.5
118.987.112.3
123.6222.1
97.410.820.311.423.124.815.79.55.3
224.517.424.0
119.813.67.88.09.4
269.459.1
( 2 )84.159.818.314.2
53.27.5
88.6306.3
See footnotes at end of table.
96Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonferm payrolls In States and selected areas by major industry—Continued
(In thousands)
State and area
Leisure and hospitality
June2004
163.85.05.8
42.64.65.45.04.1
15.714.914.58.2
34.917.64.9
240.412.8
159.47.7
37.94.5
94.514.78.56.24.3
26.82.4
1,465.219.17.12.9
25.12.6
544.92.64.8
13.98.8
28.57.1
115.980.320.4
149.7197.473.114.922.512.020.817.413.48.03.4
259.616.331.6
123.516.56.76.66.1
136.034.7
5.439.622.014.65.1
43.67.5
52.1252.4
May2005
164.65.05.9
42.55.05.75.24.0
15.215.414.88.5
31.817.04.5
255.613.2
169.48.1
41.45.4
94.915.38.97.24.4
26.52.5
1,488.719.56.93.2
24.22.9
548.52.44.8
14.78.6
28.47.3
115.277.820.6
150.3200.1
69.715.222.411.720.417.912.97.93.6
247.916.731.0
122.816.06.57.06.3
133.633.6
5.239.722.713.04.7
42.48.1
54.9257.6
June2005P
166.45.15.9
43.15.15.65.24.0
15.315.415.18.5
35.918.25.0
250.913.6
165.68.2
40.25.3
96.215.59.07.44.3
26.92.5
1,502.219.66.93.3
25.02.9
551.32.44.8
14.98.8
28.67.6
114.379.220.9
152.1202.2
70.115.422.712.320.618.113.18.13.6
264.217.332.5
127.017.16.86.96.3
139.035.4
5.440.123.614.95.2
45.18.3
54.9266.6
<
June2004
82.62.11.6
24.12.52.93.61.67.79.18.23.7
11.76.61.4
88.91.9
63.71.8
14.81.5
42.45.93.7
( 2 )1.7
14.41.4
508.86.93.61.0
10.7.6
194.8.9
1.66.21.8
10.32.5
39.228.5
4.748.274.325.3
3.85.63.96.46.54.22.91.3
87.65.0
14.545.14.42.12.42.0
63.316.9
( 2 )21.010.73.92.8
19.02.5
59.4166.0
Dther services
May2005
81.22.11.7
23.12.52.83.61.57.99.38.03.7
11.16.01.4
89.51.8
64.01.8
15.01.7
41.56.13.7
( 2 )1.7
14.61.4
513.47.14.0
.910.8
.4195.2
.81.66.11.8
10.32.5
39.629.14.8
49.673.825.1
4.55.63.66.66.44.22.81.4
87.95.1
14.345.64.52.12.42.0
63.917.1
( 2 )20.910.74.02.9
18.82.5
60.4169.8
June2005P
81.62.21.7
23.12.52.93.71.67.99.38.13.7
11.36.31.4
89.81.9
64.31.8
15.01.7
42.16.13.8
( 2 )1.7
14.81.4
515.67.24.0
.910.4
.4196.0
.91.66.11.8
10.32.5
39.729.0
4.950.174.225.4
4.45.63.86.66.54.22.91.4
89.95.2
14.846.34.62.12.52.1
64.817.2
( 2 )21.110.94.02.9
19.22.5
61.1171.7
Government
June2004
358.812.516.078.3
8.99.9
11.65.3
41.327.538.723.6
80.433.910.8
377.518.0
206.410.176.612.9
197.723.716.04.48.0
63.89.7
2,433.057.016.517.166.713.7
752.99.6
14.125.110.043.813.0
213.4224.6
31.1217.8311.6
96.223.036.822.130.539.524.930.011.0
359.127.642.7
164.827.6
8.412.811.3
241.947.5
8.084.234.039.610.6
57.217.2
230.9623.6
May2005
363.512.216.279.6
8.810.211.75.4
42.027.839.624.0
83.134.112.3
417.218.3
232.311.083.014.6
205.626.416.94.98.2
65.210.5
2,438.755.816.717.069.613.7
748.29.9
14.425.310.042.912.9
218.0224.8
30.2220.7309.6
95.522.137.122.430.940.025.830.411.5
374.030.544.6
168.428.3
8.814.712.0
246.848.1
8.186.934.340.010.0
61.719.0
228.6631.5
June2005P
360.312.115.978.5
8.810.111.65.2
42.127.738.823.7
80.434.111.0
384.518.1
210.610.076.014.0
200.725.216.04.68.0
64.310.3
2,430.155.516.217.068.613.7
746.59.7
14.225.310.242.913.0
216.8225.6
30.1220.8307.795.322.436.822.531.339.525.530.411.4
366.328.344.4
166.827.8
8.313.411.6
241.948.07.9
84.532.939.710.1
60.518.7
230.8629.8
AlabamaAnniston-OxfordAubum-OpelikaBirmingham-HooverDecaturDothanFlorence-Muscle ShoalsGadsdenHuntsville.. .......Mobile.......................................MontgomeryTuscaloosa
AlaskaAnchorageFairbanks.................................
ArizonaFlagstaffPhoenix-Mesa-ScottsdalePrescottTucsonYuma
ArkansasFayettevs'lSe-Springdale-RogersFort SmithHot SpringsJonesboroLittle Rock-North Little Rock ..................Pine Bluff
California...BakersfieldChicoEl Centre ....FresnoHanford-CorcoranLos Angeles-Long Beach-Santa Ana ....MaderaMercedModesto................................Napa .......Oxnard-Thousand Oaks-Ventura ..........Redding ...Riverside-San Bernardino-OntarioSacramento—Arden-Arcade—RosevilleSalinasSan Diego-Carlsbad-San MarcosSan Francisco-Oakland-FremontSan Jose-Sunnyvale-Santa ClaraSan Luis Obispo-Paso Robles...............Santa Barbara-Santa Maria-GoletaSanta Cruz-WatsonvilleSanta Rosa-Peta!umaStocktonVallejo-FairfleldVisalia-PortervilleYuba City ....................................
ColoradoBoulderColorado SpringsDenver-Aurora ...........Fort Collins-LovelandGrand JunctionGreeleyPueblo
ConnecticutBridgeport-Stamford-Norwalk.................DanburyHartford-West Hartford-East HartfordNew HavenNorwich-New LondonWaterbury
DelawareDover
District of ColumbiaWashington-Arlington-Alexandria
See footnotes at end of table.
97Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Total
June2004
May2005
June2005P
Natural resources and mining
June2004
May2005
June2005P
Construction
June2004
May2005
June2005P
FloridaCape Coral-Fort MyersDeltona-Daytona Beach-Ormond Beach .Fort Walton Beach-Crestview-DestinGainesvilleJacksonvilleLakelandMiami-Fort Lauderdale-Miami BeachNaples-Marco IslandOcalaOrlandoPalm Bay-Melbourne-TitusvillePanama City-Lynn HavenPensacola-Ferry Pass-BrentPort St. Lucie-Fort PiercePunta GordaSarasota-Bradenton-VeniceTallahasseeTampa-St. Petersburg-ClearwaterVero Beach
GeorgiaAlbanyAthens-Clarke County ,Atlanta-Sandy Springs-Marietta..Augusta-Richmond CountyBrunswickColumbusDaltonGainesvilleHinesville-Fort StewartMaconRomeSavannahValdostaWarner Robins
HawaiiHonolulu .
IdahoBoise City-Nampa....Coeurd'AleneIdaho FallsLewistonPocatello
Illinois ,Bloomington-NormalChampaign-UrbanaChicago-Naperville-JolietDanvilleDavenport-Moline-Rock Island .DecaturKankakee-BradleyPeoriaRockfordSpringfield
IndianaAndersonBloomingtonColumbusEkhart-GoshenEvansvilleFort WayneIndianapolisKokomoLafayetteMichigan City-La Porte ...MuncieSouth Bend-Mishawaka..Terre Haute
IowaAmesCedar RapidsDes MoinesDubuqueIowa City ]."..'.'""..Sioux CityWaterloo-Cedar Falls.,
7,458.0200.3162.985.0
125.3578.4196.6
2,290.7119.291.2
965.0203.7
72.0163.7115.739.7
297.0164.8
1,267.044.4
3,894.263.676.4
2,262.6213.342.8
120.776.569.116.7
101.442.5
143.452.551.4
583.3429.8
597.3243.551.050.726.937.8
5,872.888.1
109.54,461.5
32.1185.854.643.5
177.2155.6111.6
2,936.245.378.742.3
130.5177.9212.3884.948.686.947.353.6
144.473.5
1,476.644.6
130.8302.953.385.471.886.2
7,744.6212.0168.888.8
132.7596.7205.3
2,350.6125.894.1
1,009.6209.5
73.6169.2122.841.6
314.1170.6
1,310.545.1
3,919.164.377.1
2,278.5213.943.2
119.776.069.016.7
101.242.6
146.353.150.9
597.8441.5
608.9250.752.951.726.738.3
5,872.788.4
112.34,458.0
32.0183.654.742.7
177.2154.9111.5
2,986.645.778.242.9
130.9179.7214.4895.848.992.647.454.9
147.575.4
1,486.046.5
131.9309.752.886.771.388.5
7,678.8208.6167.489.1
129.4593.6202.6
2,328.0124.593.2
1,004.5208.274.5
167.0120.840.9
313.5167.0
1,299.644.3
3,917.864.477.2
2,277.5213.443.1
120.176.269.216.6
101.042.9
145.452.951.2
598.9441.9
618.9253.454.052.827.438.4
5,911.187.0
108.94,493.8
31.9185.055.242.7
178.2156.0111.7
2,970.645.778.642.5
130.8179.2214.9897.748.488.347.352.2
147.573.7
1,492.844.7
132.7312.053.587.071.089.3
7.1
12.2
2.1( ! )( )( >( )O(?)
4.2)
.4
.2
9.6
( 1 )
( 1 )
<]»{' I(1)/1 \/1 \/1 \
( )( >< )
7.4
2.3()< >
O?
6.7
( ! )( )( )( )( ! )O(1)
.51 )
12.2!)1)
2.1!
( )O( )o(?)( )( )O
0)
3.8
A
9.2
(J)(1 )
7.3
(!)
(1 )
2.2
6.6( ! )( )
0)0)
( )( )< >
12.2
2.1( ! )( )< >( )
o
4.5)
.4)
.2)
9.40)( )
O
7.4
(D
2.3
493.926.611.84.75.8
39.913.4
127.616.58.9
68.714.15.2
12.011.14.3
21.88.3
72.34.2
200.43.53.3
126.713.42.96.01.54.0
( 2 )5.81.38.52.91.4
29.620.7
41.817.74.84.11.42.1
281.73.54.7
( 2 ).9
8.53.51.99.18.35.5
155.71.84.71.85.2
12.512.354.51.44.02.62.37.13.8
74.2( 2 )
7.518.2
2
515.428.712.45.25.9
40.813.7
132.417.79.4
71.414.65.5
12.111.64.6
23.98.6
76.24.5
200.43.63.3
125.213.13.05.81.54.1
( 2 )5.61.48.93.01.4
32.122.1
44.617.94.64.11.32.1
272.63.24.2
( 2 ).8
8.13.31.88.88.15.3
155.31.74.51.85.3
13.011.955.1
1.54.02.52.27.03.5
70.4( 2 )
6.916.9
2
522.428.812.45.25.9
41.613.8
133.418.19.4
72.214.75.5
12.411.74.6
24.18.6
76.64.5
202.73.63.4
127.113.23.06.01.54.1
( 2 )5.61.48.93.01.4
32.222.4
47.919.24.94.41.42.3
282.23.44.7
( 2 ).8
8.53.51.89.18.35.5
160.21.84.61.85.5
12.912.356.31.54.12.52.27.23.7
73.8( 2 )
7.417.3
2
See footnotes at end of table.
98Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Manufacturing
June2004
May2005
June2005P
Trade, transportation, and utilities
June2004
May2005
June2005P
Information
June2004
May2005
June2005P
FloridaCape Coral-Fort MyersDeitona-Daytona Beach-Ormond Beach .Fort Walton Beach-Crestview-Destin ......GainesvilleJacksonvilleLakelandMiami-Fort Lauderdale-Miami BeachNaples-Marco IslandOcalaOrlandoPalm Bay-Melboume-TitusvillePanama City-Lynn HavenPensacola-Ferry Pass-BrentPort St. Lucie-Fort PiercePunta GordaSarasota-Bradenton-VeniceTallahasseeTampa-St. Petersburg-Clearwater............Vero Beach
GeorgiaAlbanyAthens-Clarke CountyAtlanta-Sandy Springs-Marietta..Augusta-Richmond County.........BrunswickColumbusDaltonGainesvilleHinesville-Fort StewartMaconRome .....Savannah ........... .....ValdostaWarner Robins
HawaiiHonolulu .
IdahoBoise City-Nampa.Coeurd'Alene........Idaho FallsLewistonPocatello
IllinoisBloomington-NormalChampaign-UrbanaChicago-Naperville-JolietDanvilleOavenport-Moline-Rock Island ...DecaturKankakee-BradleyPeoriaRockfordSpringfield
IndianaAndersonBloomingtonColumbus ....Elkhart-GoshenEvansvilleFort WayneIndianapolis .......KokomoLafayetteMichigan City-La Porte ...MuncieSouth Bend-Mishawaka.,Terre Haute
IowaAmesCedar RapidsDes Moines................DubuqueIowa CitySioux CityWaterloo-Cedar Falls.
391.56.39.94.24.2
33.417.2
101.62.89.6
42.823.43.37.35.91.1
18.54.2
72.72.2
448.97.69.5
177.925.53.2
15.031.417.2
( 2 )8.99.0
13.56.24.2
15.512.1
62.330.04.13.23.33.5
703.07.0
11.4504.6
5.924.710.95.4
28.632.53.5
576.97.09.6
14.064.435.436.2
102.216.017.39.87.5
21.912.1
225.3( 2 )
19.320.0
2
)12.716.3
392.06.49.84.24.2
33.517.299.92.99.7
44.023.3
3.37.16.01.1
18.34.2
71.31.8
439.77.69.5
172.924.6
3.314.431.017.C
( 2 )8.78.S
13.46.c4.C
15.412.0
62.329.2
4.33.22.93.3
691.86.0
11.2497.9
6.123.H11.05.1)
29.432.'I3.5
573.67.29.1
14.463.935.937.1
101.316.217.19.46.9
22.112.1
225.8( 2 )
19.920.4
2
)12.816.4
394.76.5
10.04.34.3
33.617.3
100.12.99.8
44.523.53.37.26.11.1
18.14.3
72.21.8
441.47.69.5
174.124.73.2
14.631.217.1
( 2 )8.89.0
13.46.44.1
15.412.0
63.430.04.43.33.03.3
696.36.1
11.1499.2
5.923.811.15.0
29.932.03.5
576.27.39.3
14.463.535.737.4
102.115.917.29.56.9
22.312.2
228.7( 2 )
20.120.4
2
)12.716.3
1,490.542.731.716.017.2
126.744.4
510.722.420.9
182.235.713.830.526.78.6
49.324.2
220.79.3
826.313.712.7
515.636.77.7
18.215.512.62.5
19.47.6
31.711.56.8
112.079.1
118.846.09.5
12.25.47.4
1,184.813.818.4
911.47.6
40.211.610.233.428.717.9
579.58.9
12.67.2
18.336.645.9
189.48.0
13.89.29.4
28.714.9
306.2( 2 )
28.263.7
( 2 )15.814.116.1
1,523.443.933.016.317.6
129.946.1
515.923.320.9
186.736.514.031.127.98.6
52.024.1
225.49.5
819.914.012.6
509.437.67.9
18.115.512.82.6
19.17.6
33.011.77.0
115.983.0
119.846.4
9.712.25.47.3
1,181.213.918.2
908.67.6
39.911.610.333.428.918.0
580.19.0
12.87.1
18.236.945.9
192.47.7
14.49.39.1
28.414.5
307.6( 2 )
28.066.0
( 2 )15.514.116.0
1,525.743.632.916.417.7
129.246.0
518.623.420.8
187.236.314.330.927.88.6
52.024.2
224.89.3
820.314.012.6
509.737.77.9
18.215.412.92.6
19.17.6
32.711.67.0
116.683.4
121.947.39.8
12.35.57.3
1,188.713.918.1
915.37.6
40.111.610.233.429.117.9
583.79.0
13.07.2
18.537.046.4
193.17.8
14.29.39.1
28.614.5
309.1( 2 )
28.466.4
( 2 )15.714.015.9
167.84.22.72.22.1
11.22.2
58.11.91.2
25.52.81.74.01.7.5
4.34.1
33.2.6
120.0.9.9
93.33.3
.76.5
.7
.5( 2 )
2.2.9
2.0.5.6
10.68.8
10.14.21.01.2.4.7
121.91.22.5
95.7.5
3.1.8.6
3.02.33.1
41.9.7
1.3.5.9
3.03.7
16.9.4
1.0.7.5
2.4.9
33.72 )
5.79.2
2
168.74.22.82.22.1
10.82.2
58.61.91.2
25.12.71.63.91.7.5
4.23.9
33.3.6
117.7.9.9
91.23.2
.76.2
.7
.4( 2 )
2.1.9
2.0.5.5
10.68.8
10.74.71.11.1.4.7
117.01.12.6
92.4.5
3.1.8.6
3.02.23.0
40.7.6
1.3.5.9
2.93.4
16.5.3.9.7.5
2.3.8
34.42 )
5.89.5
2
168.14.32.82.22.1
10.72.2
58.51.91.2
25.22.71.63.91.7.5
4.23.9
33.4.6
118.6.9.9
91.93.3.7
6.3.7.4
( 2 )2.1
.92.0
.5
.5
10.68.8
11.04.81.11.1.4.7
117.01.12.5
92.5.5
3.1.8.6
3.02.33.0
41.1.6
1.3.5.9
2.93.4
16.8.3.9.7.5
2.3
34.52 >
5.89.6
See footnotes at end of table.
99Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Financial activities
June2004
May2005
June2005P
Professional and business services
June2004
May2005
June2005P
Education and health services
June2004
May2005
June2005P
FloridaCape Coral-Fort MyersDeltona-Daytona Beach-Ormond Beach ..Fort Walton Beach-Crestview-DestinGainesville ,JacksonvilleLakelandMiami-Fort Lauderdale-Miami BeachNaples-Marco IslandOcalaOrlandoPalm Bay-Melboume-TrtusvillePanama City-Lynn HavenPensacola-Ferry Pass-BrentPort St. Lucie-Fort PiercePunta GordaSarasota-Bradenton-VeniceTallahasseeTampa-St. Petersburg-ClearwaterVero Beach
GeorgiaAlbanyAthens-Clarke CountyAtlanta-Sandy Springs-MariettaAugusta-Richmond CountyBrunswickColumbusDaltonGainesvilleHinesville-Fort StewartMaconRomeSavannahValdostaWarner Robins
HawaiiHonolulu
IdahoBoise City-NampaCoeur d'AleneIdaho FallsLewistonPocatello
IllinoisBloomington-NormalChampaign-UrbanaChicago-Naperville-JolietDanvilleDavenport-Moline-Rock IslandDecaturKankakee-BradleyPeoriaRockfordSpringfield
IndianaAndersonBloomingtonColumbusElkhart-GoshenEvansvilleFort WayneIndianapolisKokomoLafayetteMichigan Oty-La PorteMuncieSouth Bend-MishawakaTerre Haute
IowaAmesCedar RapidsDes MoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
See footnotes at end of table.
504.312.07.16.76.2
58.411.2
170.06.94.8
59.27.85.47.66.52.2
14.77.7
94.92.7
218.12.42.7
151.87.21.88.81.63.2
( 2 )8.31.56.61.71.5
28.922.2
27.913.12.41.91.82.0
402.712.14.5
327.01.79.02.62.18.67.67.5
141.72.03.11.63.26.6
13.164.0
1.63.91.22.17.22.7
97.5( 2 )
9.747.1
513.112.76.87.26.3
58.611.6
171.07.04.9
61.98.05.67.76.92.2
14.97.7
94.62.6
221.02.42.7
153.76.81.79.11.63.2
( 2 )8.41.56.51.81.5
29.122.5
28.913.42.52.01.92.1
401.112.14.4
325.51.79.02.52.08.57.67.5
142.42.13.11.63.16.6
13.264.0
1.63.71.32.17.22.7
99.1( 2 )
10.248.1
516.712.66.97.56.2
58.511.8
172.17.15.0
62.18.05.87.77.02.2
14.97.8
94.62.6
222.12.42.7
154.66.91.89.11.63.3
( 2 )8.41.56.61.81.5
29.322.6
29.113.52.62.01.92.1
405.712.24.5
329.31.79.22.62.08.57.67.5
143.02.13.11.73.16.6
13.264.81.63.71.32.17.22.7
100.0( 2 )
10.448.5
1,302.027.818.211.811.089.237.1
381.119.68.0
163.135.57.7
21.913.23.6
85.317.7
327.24.1
509.15.75.8
369.732.23.1
12.88.84.9
( 2 )11.43.4
15.64.5
70.056.9
75.635.35.68.11.64.7
809.616.77.5
690.11.7
22.65.12.5
17.416.610.8
269.62.95.83.98.6
16.720.0
119.93.34.92.94.0
12.65.5
108.8( 2 )
12.430.9
( 2 )4.97.06.7
1,354.829.119.212.411.489.938.1
398.920.5
8.2170.636.68.0
22.314.03.9
92.817.6
341.14.2
517.45.85.5
374.633.03.1
12.48.84.7
( 2 )11.33.5
16.24.35.5
72.358.8
77.536.86.28.61.64.7
820.516.57.5
702.61.7
22.55.22.5
17.216.610.8
272.82.95.94.09.2
16.920.1
119.63.25.32.74.2
12.85.5
107.1( 2 )
12.131.7
( 2 )4.37.27.2
1,370.829.619.412.611.690.838.3
401.720.6
8.3172.736.48.1
22.614.23.9
95.017.6
342.84.3
519.95.95.6
376.232.63.1
12.58.94.7
< 2 >11.43.5
15.94.35.6
72.859.3
78.937.16.48.81.74.8
832.116.67.5
712.71.8
22.75.22.5
17.316J10.8
274.92.85.94.09.2
17.220.1
121.43.25.32.74.2
12.75.4
107.9( 2 )
12.032.0
( 2 )4.37.27.1
914.419.030.97.7
21.467.123.5
291.513.111.097.327.09.1
27.316.97.5
37.616.3
147.57.9
403.88.88.9
219.926.03.3
13.64.29.4
( 2 )17J7.6
20.05.33.9
67.253.2
64.929.95.16.14.13.1
726.08.1
12.0543.9
3.122.46.87.4
30.420.816.2
359.17.79.33.49.8
25.031.5
104.03.68.76.59.7
29.311.1
187.5( 2 )
15.534.6
2
947.819.432.77.9
22.171.425.5
300.213.411.0
102.827.69.4
28.817.87.7
38.416.7
152.88.1
414.18.99.2
225.226.2
3.413.84.19.6
( 2 )17.87.7
20.25.33.7
69.554.8
67.331.25.46.44.13.1
735.28.1
12.0551.6
3.222.2
6.97.3
30.721.016.3
376.97.89.53.4
10.325.333.0
104.83.78.96.59.3
32.312.1
194.9( 2 )
16.835.4
2
947.919.232.77.8
22.271.625.2
299.513.211.3
103.227.69.3
28.617.97.6
38.216.6
151.78.0
411.38.89.2
224.726.03.3
13.74.19.5
( 2 )17.67.7
20.05.33.8
68.954.3
67.531.25.56.54.23.1
733.58.1
11.9548.7
3.222.3
6.97.4
30.621.016.3
373.47.99.53.4
10.325.532.9
103.53.78.96.59.3
32.012.1
189.6( 2 )
16.135.2
<)<*>( 2 )
100Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarnn payrolls In States and selected areas by major industry—Continued
(in thousands)
State and area
FloridaCape Coral-Fori MyersDeltona-Daytona Beach-Ormond BeachFort Walton Beach-Crestview-DestinGainesvilleJacksonville ...............LakelandMiami-Fort Lauderdale-Miami BeachNaples-Marco IslandOcala . .OrlandoPalm Bay-Melboume-Titusvill©Panama City-Lynn Haven ......Pensacoia-Ferry Pass-Brent .....Port St Lucie-Fort PiercePunta GordaSarasota-Bradenton-Venice .....TallahasseeTampa-St Petersburg-ClearwaterVero Beach .........................
Georgia . . .. ......Albany . . . . ... ......Athens-Clarke CountyAtlanta-Sandy Springs-Marietta. ................Augusta-Richmond County . .....Brunswick . .Columbus ..................... „.Dalton .Gainesville . .....Hinesville-Fort Stewart . . . . . . . . . .Macon ...................Rom© ..........SavannahValdostaWarner Robins ....
Hawaii .Honolulu . ........
IdahoBoise City-NampaCoeur d'AleneIdaho Falls . . .... ......Lewiston .. .Pocatello
IllinoisBloomington-NormalChampaign-UrbanaChicago-Naperville-Joliet ... .....DanvilleDavenport-Moline-Rock Island .DecaturKankakee-BradieyPeoria . . . . . . . .RockfordSpringfield ....
Indiana .......Anderson . . . .........BloomingtonColumbus ......Elkhart-GoshenEvansviileFort WayneSndianapolisKokomo ...LafayetteMichigan City-La PorteMuncieSouth Bend-MishawakaTerre Haute
IowaAmesCedar RapidsDes MoinesDubucjueSowaCitySioux City . . .Waterloo-Cedar Falls
Leisure and hospitality
June2004
858.424.821.513.512.656.515.0
238.719.08.5
181.520.411.718.412.94.8
29.214.2
111.55.9
370.34.67.3
218.320.38.9
13.33.85.6
883.4
18.1•6.15.2
104060.6
58.722.27.75.02.63.6
528.59.1
10.5401.1
2.819.65.04.1
18.112.510.7
287.85.17.93.17.7
16.820.689.5478.25.45.4
12.57.3
134.3
11.128.0
7.27.47.5
May2005
892.426.820.714.114.059.315.5!
251.2!20iS
act186.521211.2118.913.44.9
30.01411
114.26.0
370.34B7AI
219.J520.6
9.113."!3.B5.H
9.03.JJ
18.26.05.0
105.962.1
56.-122.15
7.35.D2.153.13
533.69.3
11J2400.7
2.719.2
5.03.3
17.912.510.7
288.55.08.33.27.4
16.820.590.0
4 78.75.35.3
12.37.3
136.4
10.930.1
6.97.37.5
June2005P
892.225.820.814.614.159.715.0
249.719.98.8
187.821.512.318.813.04.9
30.014.8
113.45.8
373.54 87.5
221.020.4
9.113.23.85.4
9.03.3
18.26.05.0
107.162.8
59.823.08.05.22.63.9
' 543.19.1
10.7410.0
2,819.65.14.0
18.112.810.8
292.35.18.03.37.5
16.920.690.84.88.65.45.4
12.67.2
140.1
10.930.9
7.07.17.7
(
June2004
323.38.38.34.148
26.78.0
98.85.43.7
47.49.13.58.15.41.6
11.78.1
48.62.2
158.62.93.9
93.78.21.8492.02.4
4.01.66.62.01.8
24619.4
18.57.11.41.91.01.2
263.73.73.5
198.91.68.02.61.97.69.76.4
111.21.92.91.34.07.48.4
34.92.43.01.82.05.72.9
57.1
5.312.0
Dther services
May2005
328.18.48.34.04.9
27.48.0
99.15.53.8
48.48.73.58.25.41.6
11.88.1
49.52.2
155.52.83.7
93.48.11.64 71.92.3
3.71.46.51.91.7
24.519.4
18.97.21.61.91.11.3
257.33.63.4
196.01.57.92.61.77.49.46.4
112.12.02.81.34.07.58.4
35.32.53.01.82.05.72.9
57.2
5.312.4
<i>
June2005P
329.58.58.34.05.0
27.68.1
99.25.53.8
48.98.73.58.35.41.6
11.9B2
49.82.2
156.82.93.8
94.18.21.74 81.92.4
3.81.56.42.01.8
24.619.4
19.07.21.61.91.21.3
262.73.83.5
198.21.58.02.61.87.59.66.5
112.92.02.91.34.07.58.5
35.82.53.01.82.05.72.9
57.9
5.412.4
Government
June2004
1,004.828.620.814.140.068.924.6
312.011.614.696.927.910.626.615.45.5
24660.0
137.85.3
626.513.521.4
293.640.59.4
21.67.09.36.8
14.96.2
20.811.820.4
120.996.8
114538.09.07.0519.5
841.312.934.5
565.86.3
2775.77.4
21.016.630.0
405.47.3
21.55.58.4
17.920.6
109.67.2
22.17.7
10.717.012.3
249.717.316.139.24.3
31.49.0
13.3
May2005
1,102.232.423.115.344.274727.7
322.913.116.2
111.830.311.429.118.16.5
27.8649
151.65.6
650.913.522.1
311.340.79.4
22.17.19.66.6
15.56.5
21.412.320.6
122.598.0
118.741.39.87.25.49.9
853.214.637.6
564.66.2
27.95.87.6
20.916.530.0
436.97.4
20.95.68.6
18.120.9
116.87.5
26.67.9
13.317.414.0
250.918.416.039.24.3
32.09.2
14.9
June2005P
1,004.229.721.214.540.369.924.9
294711.914.8
100.328.810.826.616.05.9
25.161.0
139.85.2
639.013.522.0
302.040.49.3
21.77.19.46.5
15.26.5
21.312.020.5
121.496.9
115.940.19.37.35.39.6
840.412.734.4
563.56.1
27.75.87.4
20.816.629.9
405.57.1
21.04.98.3
17.020.1
113.17.1
22.47.6
10.516.912.2
248.916.316.239.34.5
32.09.1
14.9
See footnotes at end of table.
101Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 108: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/108.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Total
June2004
1,340.052.2
113.1283.7
1,809.855.146.6
245.5605.749.7
1,929.561.6
347.082.7
133.687.679.9
619.9170.4
628.365.848.2
196.9
2,546.41,276.4
39.898.753.3
3,223.1108.9
2,421.252.464.037.1
298.1246.3
4,445.2201.4
64.641.0
2,080.5161.9387.4113.962.9
143.9228.9
45.467.365.194.6
2,727.8131.1
1,765.7103.996.2
1,125.5114.554.6
257.853.5
2,727.686.579.475.9
980.655.1
1,337.1183.8
May2005
1,354.153.4
113.3287.9
1,824.357.646.2
245.8608.0
50.4
1,935.860.2
344.682.0
133.788.880.3
621.9171.5
620.965.948.4
196.9
2,579.51,283.6
39.399.754.5
3,217.9102.5
2,425.852.563.636.2
297.9246.2
4,422.2201.2
64.140.0
2,065.7161.8389.8116.562.8
145.5230.0
44.866.664.294.4
2,735.1132.0
1,766.8103.998.2
1,139.8113.955.5
259.055.7
2,742.388.979.677.2
986.554.3
1,344.3188.7
June2005P
1,356.152.4
113.3286.3
1,828.056.746.3
246.9610.6
50.2
1,935.060.2
345.683.2
132.889.679.8
624.5171.7
631.865.048.6
200.1
2,604.11,294.0
39.5100.653.9
3,243.3109.6
2,438.852.964.437.0
298.9247.5
4,426.6201.2
63.939.7
2,074.1159.5389.2116.662.8
145.3226.8
44.966.764.393.3
2,761.5132.6
1,784.0106.096.6
1,138.1114.955.9
259.856.5
2,751.486.080.177.0
992.154.4
1,351.8187.6
Natural resources and mining
June2004
7.0( 2 )( 1 )( 1 )
19.7( 1 )( 1 )( 1 )( 1 )( 1 )
45.3( 2 )( 1 )( 1 )( 1 )( 1 )<2>( 1 )( 1 )
2.5.2
( 1 )( 1 )
( 1 )( 1 )( 1 )( 1 )( 1 )
2.0( 1 )
1.3( 1 )( 1 )( 1 )( 1 )( 1 )
8.4( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
6.3( 1 )( 1 )( 1 )( 1 )
8.9( 1 )( 2 )
.8( 1 )
4.9( 2 )( 2 )( 2 )( 1 )( 2 )( 1 )( 1 )
May2005
7.8( 2 )( 1 )( 1 )
20.3( 1 )( 1 )( 1 )( 1 )( 1 )
45.7( 2 )( 1 )( 1 )( 1 )( 1 )( 2 )( 1 )( 1 )
2.1.3
( 1 )( 1 )
( 1 )( 1 )( 1 )( 1 )( 1 )
2.0( 1 )
1.2( 1 )< >( 1 )( 1 )( 1 )
8.8( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
6.3( 1 )( 1 )( 1 )( 1 )
8.8( 1 )( 2 )
.9( 1 )
5.4( 2 )( 2 )( 2 )C)(2)(1)(1)
June2005P
8.0( 2 )( 1 )( 1 )
20.5( 1 )( 1 )( 1 )( 1 )( 1 )
45.3( 2 )( 1 )( 1 )( 1 )( 1 )( 2 )( 1 )( 1 )
2.6.3
( 1 )( 1 )
( 1 )( 1 )( 1 )( 1 )( 1 )
2.1( 1 )
1.2( 1 )( >( 1 )( 1 )( 1 )
8.9( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )( 1 )
0)(1)(1)(1)
6.5( 1 )( 1 )( 1 )<«)
8.8( ' )( 2 )
.9
<1>
5.5( 2 )( 2 )( 2 )( 1 )( 2 )
1 )1 )
Construction
June2004
66.5( 2 )
6.316.7
a5.93.02.2
13.035.0
2.9
117.9( 2 )
35.010.219.69.3
( 2 )39.711.5
32.93.02.6
10.8
181.680.7
2.06.23.7
146.26.5
106.02.63.71.9
11.110.8
204.06.12.51.7
90.97.1
20.36.72.66.89.72.62.52.54.5
138.99.1
89.05.35.6
50.15.4
( 2 )12.02.0
142.8( 2 )( 2 )( 2 )
52.8( 2 )
83.09.1
May2005
67.2( 2 )
6.416.4
87.63.22.1
13.136.5
3.0
118.8( 2 )
32.811.019.89.5
( 2 )41.013.3
32.53.02.9
11.1
180.282.0
2.06.33.6
144.96.3
103.72.63.41.8
10.810.7
193.45.92.41.6
90.47.0
19.96.62.66.5
10.12.52.52.44.1
131.98.6
82.84.85.3
50.05.4
( 2 )12.62.2
141.2( 2 )( 2 )( 2 )
55.0( 2 )
82.99.2
June2005P
69.5( 2 )
6.616.8
89.33.22.1
13.437.43.0
118.6( 2 )
32.411.419.49.6
( 2 )41.112.8
33.73.12.8
11.4
183.383.42.16.53.6
149.46.5
107.32.73.61.9
11.411.0
202.36.12.51.7
94.57.6
20.26.82.76.8
10.42.62.62.54.3
139.89.2
88.15.05.7
51.35.5
( 2 )13.02.8
145.1( 2 )( 2 )( 2 )
56.5( 2 )
84.79.4
KansasLawrenceTopekaWichita
KentuckyBowling GreenEiizabethtownLexington-FayetteLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHouma-Bayou Cane-Thibodaux ....LafayetteLake CharlesMonroeNew Orieans-Metairie-KennerShreveport-Bossier City
MaineBangorLewiston-AubumPortland-South Portland-Biddeford
Maryland 3
Baltimore-TowsonCumberlandHagerstown-MartinsburgSalisbury
MassachusettsBarnstable TownBoston-Cambridge-QuincyLeominster-Fitchburg-GardnerNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn ArborBattle CreekBay CityDetroit-Warren-LivoniaFlintGrand Rapids-WyomingHolland-Grand HavenJacksonKaiamazoo-PortageLansing-East LansingMonroeMuskegon-Norton ShoresNiles-Benton HarborSaginaw-Saginaw Township North
MinnesotaDuluthMinneapolis-St. Paul-BloomingionRochesterSt. Cloud
MississippiGulfport-BiloxiHattiesburgJackson ,Pascas
MissouriColumbiaJefferson CityJoplinKansas City .St. JosephSt. Louis 4
Springfield ....
See footnotes at end of table.
102Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-1Z Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Manufacturing
June2004
May2005
June2005P
Trade, transportation, and utilities
June2004
May2005
June2005P
Information
June2004
May2005
June2005P
KansasLawrence .TopekaWichita
KentuckyBowling Green ......Elizabethtown .......Lexington-Fayette.LouisvilleOwensboro ............
LouisianaAlexandria..Baton RougeHouma-Bayou Cane-Thibodaux.LafayetteLake Charles ....Monroe ....New Orieans-Metairie-Kenner....Shreveport-Bossier City
MaineBangorLewiston-AubumPortland-South Portland-Biddeford.
MarylandBaltimore-Towson ...........CumberlandHagerstown-Martinsburg .Salisbury...
MassachusettsBamstable TownBoston-Cambridge-Quincy ......Leominster-Rtchburg-Gardner.New BedfordPittsfieldSpringfield..Worcester
MichiganAnn Arbor .........Battle CreekBay CityDetroit-Warren-LivoniaFlintGrand Rapids-WyomingHolland-Grand HavenJacksonKalamazoo-Portage.....Lansing-East LansingMonroeMuskegon-Norton Shores ........Niles-Benton HarborSaginaw-Saginaw Township North..
MinnesotaDuluthMinneapolis-St. Paul-BloomingtonRochesterSt. Cloud
Mississippi ........Guifport-Biloxi.Hattiesburg .....Jackson ..........
MissouriColumbiaJefferson City.Joplin ..Kansas City ..St. Joseph......St. Louis 4......Springfield .....
175.6( 2 )
8.256.3
264.59.06.9
34.079.8
9.7
153.7( 2 )
26.6( 2 )
8.09.49.0
39.414.1
63.93.76.3
15.7
143.876.74.7
12.34.8
316.33.5
232.99.9
10.74.0
39.330.0
701.923.414.44.7
298.323.574.238.210.424.723.39.3
13.815.514.4
346.58.6
204.313.317.3
181.06.24.5
22.916.2
315.72
85.0
146.018.6
178.6( 2 )
8.360.1
265.89.36.9
34.579.69.5
151.2( 2 )
27.1( 2 )
7.48.59.1
38.813.9
61.73.46.0
15.4
139.274.34.6
11.85.0
312.33.4
231.89.7
11.13.8
39.529.0
682.722.614.44.4
293.822.374.436.110.224.621.38.7
13.614.614.2
347.48.5
206.313.416.9
180.26.04.4
22.417.1
315.4( 2 )O(2)
84.6( 2 )
145.718.4
179.3( 2 )
8.360.1
265.59.36.9
34.579.7
9.5
151.4( 2 )
27.2C 2 )
7.58.59.0
39.014.0
62.13.46.0
15.3
139.474.44.6
11.95.1
314.03.5
233.19.7
11.13.8
39.729.1
677.822.514.54.4
291.521.874,236.110.124.619.68.6
13.614.613.5
351.58.7
207.713.617.0
180.35.94.3
22.317.2
317.72
84.9)
146.818.5
264.58.0
21.249.6
372.811.08.4
44.7132.210.1
382.011.464.420.127.117.514.4
123.732.2
127.115.19.7
41.7
471.8243.6
7.320.911.2
578.724.3
426.310.612.36.4
61.145.7
817.927.410.79.2
385.831.973.817.812.825.637.09.9
13.612.417.7
528.926.1
338.915.820.8
220.920.611.752.18.2
533.814.213.519.0
202.811.1
253.344.5
260.68.3
21.148.6
373.610.98.5
44.3132.2
9.8
381.611.764.420.326.416.613.9
121.932.2
124.615.09.8
42.2
470.6242.6
7.320.811.5
573.022.8
423.210.512.36.3
61.445.5
811.027.510.49.1
381.531.873.817.212.526.036.59.9
13.712.717.9
527.226.5
338.615.920.9
221.820.811.552.68.4
538.514.414.218.9
204.611.2
252.745.0
261.98.1
21.248.8
374.510.98.5
44.5132.2
9.9
383.711.864.420.626.716.914.1
123.332.3
128.115.09.9
42.9
475.8245.6
7.420.911.7
580.924.2
428.610.512.36.3
61.645.9
818.327.610.49.2
383.331.874.717.412.726.036.510.013.612.917.8
531.626.6
340.716.020.9
221.921.011.753.18.6
539.114.314.118.9
204.811.4
252.445.0
42.42)
2.96.4
29.22 )2 )
4.510.7
.6
30.12)
5.62 )
2.9
)10.52.9
11.61.4.8
4.7
51.221.6
2 )3.0
87.32.0
73.3.6
1.1.7
4.84.2
3.92)
.736.72.15.61.0.5
1.53.2
2 )1.0.9
2.1
61.42.6
44.21.51.4
14.62
5.12 )
65.22 )2 )2 )
45.82)
29.34.6
41.0
3.15.7
28.1
4.410.3
.6
28.62 )
5.12 )
2.9
)9.72.7
11.81.5.8
4.6
51.021.6
2 )3.0
2
84.22.0
70.9.6
1.1.7
4.43.7
65.23.7
2 ).6
35.82.05.71.0.5
1.43.0
2 ).9.8
2.0
59.52.5
40.91.61.4
14.62
4.72 )
63.92 )2 )2 )
44.42 )
29.94.4
40.9
2.95.7
28.3
4.410.3
.6
28.92 )
5.1
2.9
)9.82.7
11.91.5.8
4.6
51.221.5
2 )3.0
2
84.92.0
71.0.6
1.1.7
4.43.9
65.53.7
2 ).6
35.82.05.61.0.5
1.43.0
2>.9.8
2.0
60.42.5
40.91.61.4
14.6
4.62 )
64.32 )
2 )44.6
2 )30.14.2
See footnotes at end of table.
103Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12,. Employees on nonfarm payrolls in States and selected areas by major industry—-Continued
(In thousands)
State and area
Financial activities
June2004
May2005
June2005P
Professional and business services
June2004
May2005
June2005P
Education and health services
June2004
May2005
June2005P
KansasLawrenceTopekaWichita
KentuckyBowling GreenElizabethtownLexington-FayetteLouisvilleOwensboro
LouisianaAlexandriaBaton RougeHouma-Bayou Cane-ThibodauxLafayetteLake CharlesMonroeNew Orleans-Metairie-KennerShreveport-Bossier City
MaineBangorLewiston-AubumPortland-South Portland-Biddeford...
MarylandBaltimore-TowsonCumberlandHagerstown-MartinsburgSalisbury
MassachusettsBarnstable TownBoston-Cambridge-QuincyLeominster-Rtchburg-GardnerNew BedfordPittsfieldSpringfieldWorcester
MichiganAnn Arbor ...Battle CreekBay CityDetroit-Warren-LivoniaFlintGrand Rapids-WyomingHolland-Grand HavenJacksonKalamazoo-PortageLansing-East LansingMonroeMuskegon-Norton ShoresNiles-Benton HarborSaginaw-Saginaw Township North...
MinnesotaDuluthMinneapolis-St. Paul-Bloomington ...RochesterSt. Cloud
MississippiGuifport-Biioxi"!!"!";!!!!!!!!!!!!!!"!!"!!!!!!HattiesburgJacksonPascagoula
MissouriColumbiaJefferson CityJoplinKansas CitySt. JosephSt. Louis 4
Springfield
See footnotes at end of table.
70.7<2>
7.012.3
88.0( » )( 2 )
10.939.62.3
103.2( 2 )
18.4( 2 )
8.1
35.47.7
35.52.33.0
15.8
156.182.4
( 2 )7.4
222.24.8
184.81.92.11.7
16.514.2
220.56.11.61.5
119.36.6
21.13.22.47.6
15.91.61.92.35.1
178.76.0
141.42.94.1
46.3( 2 )( 2 )
16.2
165.1
!
)71.7
2
78.111.4
70.9
6.911.8
85.6
10.939.5
2.3
103.8
19.2I2)
8.3
35.07.5
34.32.33.1
16.0
158.282.4
218.94.7
182.21.92.11.7
16.214.2
218.95.61.61.4
117.96.7
21.33.42.37.8
15.71.71.92.35.1
179.75.9
142.52.84.1
46.62
16.4
167.02
71.22 )
78.111.7
71.6
7.011.7
86.1
10.939.72.3
104.5
19.4:2)
8.5
35.47.7
34.72.23.2
16.0
159.982.7
221.84.8
184.71.92.11.7
16.414.3
221.05.71.61.5
119.46.7
21.23.42.47.8
15.81.71.92.35.1
181.86.0
144.92.84.1
46.92
16.5( 2 )
168.4( 2 )m
72.0( 2 )
78.311.6
129.55.58.3
26.5
161.45.74.2
29.065.52.9
185.7( 2 )
38.1( 2 )
14.26.37.5
74.613.9
50.85.84.9
21.7
377.8181.2
2.77.34.6
456.710.5
378.93.93.74.2
24.429.2
595.227.3
6.53.8
364.119.653.610.64.9
14.621.5
3.44.24.99.2
306.97.3
249.85.57.5
82.72
28.1( 2 )
309.9(2>
( 2 )130.0
( 2 )182.2
14.4
133.24.88.5
27.2
166.96.54.3
29.666.12.8
186.0( 2 )
37.6( 2 )
14.76.17.3
73.914.1
50.55.84.8
21.8
389.1182.9
2.37.84.7
460.69.9
380.84.13.64.1
24.130.2
577.027.3
6.43.7
357.219.051.512.14.8
14.321.2
3.34.14.78.6
307.37.3
247.25.67.4
84.72
28.92
304.22
130.62
182.414.7
134.84.88.6
27.3
168.36.54.3
30.066.12.8
186.8( 2 )
37.8( 2 )
14.76.27.4
74.213.8
50.95.84.8
21.9
394.9185.1
2.48.04.8
10.3384.9
4.23.64.2
24.430.4
589.427.9
6.43.7
362.119.052.812.44.9
14.521.5
3.4424.88.6
313.47.5
251.45.77.6
85.2
29.02
308.82
1131.02
185.214.9
159.44,9
16.738.6
230.76.64.2
30.674.85.3
248.3( 2 )
38.5( 2 )
20.02
)82.722.6
110.213.09.9
32.5
346.7203.7
6.912.77.5
568.516.7
420.37.8
11.87.3
52.145.4
552.522.69.25.7
255.824.552.39.89.4
20.025.64.5
10.09.0
14.7
374.524.6
215.736.113.4
115.82
)32.8
( 2 )
358.0( 2 )( 2 )( 2 )
108.5( 2 )
195.032.4
162.24.9
16.638.8
233.16.74.4
30.674.5
5.5
253.1( 2 )
39.6( 2 )
19.1
!)84.423.1
113.413.610.133.8
355.4210.1
6.913.07.8
586.616.9
436.67.9
11.97.3
54.047.0
558.423.0
9.25.5
258.524.753.7
9.89.5
20.126.1
4.610.29.4
15.1
390.925.2
224.436.714.4
122.92
(34.1
( 2 )
365.6( 2 )( 2 )<2>
109.7( 2 )
199.033.3
160.94.7
16.738.7
232.96.84.4
30.574.8
5.5
250.6( 2 )
39.6( 2 )
19.12
(84.223.2
112.113.510.134.0
355.8209.9
7.013.07.9
574.017.0
426.18.0
12.07.4
52.646.5
557.823.09.25.5
258.525.153.09.89.5
20.226.54.6
10.19.3
15.3
384.325.0
222.537.613.5
119.72
33.92
365.82
109.2)
199.133.4
104Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
State and area
Leisure and hospitality
June2004
May2005
June2005P
Other services
June2004
May2005
June2005P
Government
June2004
May2005
June2005P
KansasLawrence .TopekaWichita
KentuckyBowling Green ......Eizabethtown .......Lexingtort-Fayette.LouisvilleOwensboro ...........
LouisianaAlexandriaBaton RougeHouma-Bayou Cane-Thlbodaux .Lafayette .....................................Lake CharlesMonroeNew Orleans-Metairie-Kenner....Shreveport-Bossier City
MaineBangorLewiston-AubumPortland-South Portland-Biddeford.,
Maryland 3 ..........................Baltimore-Towson ...........CumberlandHagerstown-Martinsburg .Salisbury...
MassachusettsBarnstable Town.......................Boston-Cambridge-QuincyLeominster-Frtchfourg-Gardner.New BedfordPittsfieldSpringfieldWorcester .................................
Michigan ...Ann ArborBattle CreekBay CityDetroit-Warren-LivoniaFlintGrand Rapids-WyomingHolland-Grand HavenJacksonKalamazoQ-PortageLansing-East LansingMonroe ,Muskegon-Norton ShoresNiles-Benton HarborSaginaw-Saginaw Township North.
Minnesota........................DuluthMinneapolis-Si Paul-BloomingtonRochesterSt. Cloud
Mississippi........Gulfport-Biloxs.Hattiesburg .....Jackson
MissouriColumbiaJefferson City..JoplinKansas City ...St. JosephSt. Louis4
Springfield
114.06.29.3
26.4
168.65.73.8
24.960.8
4.4
209.3( 2 )
31.26.6
13.811.5
( 2 )85.424.1
67.75.63.7
22.3
239.7115.8
3.79.24.4
311.421.3
217.44.96.75.0
28.222.7
426.615.16.05.1
190.215.732.88.55.9
15.320.3
5.28.36.7
10.0
251.014.2
161.98.8
127.330.55.8
22.02
282.22
96.92 )143.7
17.8
114.86.49.1
25.7
169.26.04.0
25.361.94.6
209.5( 2 )
30.76.9
13.913.2
( 2 )87.223.0
61.15.83.6
19.9
242.8114.0
3.49.44A
303.817.6
216.35.16.54.7
28.222.2
420.214.66.25.0
187.315.632.58.36.0
15.220.44.47.56.1-
10.1
244.613.7
159.58.78.8
127.329.36.2
21.0
277.1( 2 )<*>( 2 )
95.7( 2 )
142.818.5
115.96.49.4
26.1
172.26.14.0
25.463.24.6
210.9( 2 )
31.26.9
13.813.8
( 2 )87.523.3
69.05.93.7
22.6
256.3118.4
3.79.64.4
317.721.7
222.15.26.65.2
29.022.7
431.314.86.45.0
190.615.332.88.66.0
15.320.54.68.16.3
10.2
254.114.3
165.39.08.7
127.829.8
6.421.1
283.5
)97.3
2 )145.618.7
53.52 )
5.012.3
79.82 )2 )
10.330.1
2.6
72.22 )
14.02)
4.92
()22.7
8.0
20.32.01.36.2
115.554.9
( 2 )3.9
2
118.94.0
86.51.72.61.4
11.29.1
180.76.32.52.5
100.07.1
17.24.62.96.8
11.12.12.72.84.5
119.96.3
76.73.84.5
38.22
10.5
121.0( 2 )
41.0( 2 )
58.78.5
54.32 )
5.212.2
80.02 )2 )
10.529.0
2.5
73.12 )
14.32 )
5.1
)23.0
8.2
20.21.51.36.1
117.554.6
( 2 )4.0
2
116.34.0
86.21.82.51.4
11.49.1
180.46.12.52.5
96.36.8
16.84.42.76.6
10.82.22.62.84.3
116.76.1
74.73.74.5
37.92
9.8( 2 )
121.3( 2 )( 2 )( 2 )
41.3( 2 )
59.48.6
54.52 )
5.112.2
80.92 )2 )
10.629.4
2.5
73.02 )
14.52 )
5.1
)23.3
8.4
20.31.51.36.1
119.454.9
( 2 )4.0
117.64.1
86.31.82.51.4
11.49.1
182.76.22.52.5
97.97.0
17.14.52.86.7
11.02.22.62.84.4
117.36.4
74.73.74.6
38.42
10.0( 2 )
121.9( 2 )( 2 )( 2 )
42.0(2 )
60.38.5
256.915.128.238.6
309.29.1
11.743.677.28.9
381.815.575.214.515.015.014.6
105.833.4
105.813.76.0
25.5
462.2215.8
8.315.810.3
414.915.3
293.58.59.34.5
49.435.0
668.463.210.66.1
239.423.836.513.511.121.061.3
6.59.28.1
12.4
414.826.3
243.810.913.0
239.723.613.955.311.1
429.028.829.4
9.1146.110.3
167.322.5
263.514.928.141.4
314.19.6
11.842.678.49.8
384.415.673.814.416.115.115.0
107.033.5
108.713.76.0
26.0
475.5219.1
8.515.910.6
415.314.9
292.98.39.14.4
47.934.6
706.264.910.76.2
247.025.940.217.611.723.064.96.8
10.18.4
13.0
423.627.7
249.910.714.5
245.024.114.055.611.0
442.729.729.49.6
149.410.3
171.424.9
258.814.227.538.9
309.58.8
12.042.777.89.5
381.315.174.014.515.115.014.4
106.733.5
106.412.86.0
25.3
468.1218.1
8.116.09.7
414.115.5
293.58.39.54.4
48.034.6
671.663.710.25.6
240.523.237.616.611.222.062.06.79.48.0
12.1
420.826.4
247.811.013.1
243.224.013.755.410.9
431.328.529.69.1
149.810.2
169.323.4
See footnotes at end of table.
105Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry-—Continued
(in thousands)
Total
June2004
May2005
June2005P
Natural resources and mining
June2004
May2005
June2005P
Construction
June2004
May2005
June2005P
MontanaBillingsGreat Falls .Missoula ....
NebraskaLincolnOmaha-Council Bluffs.
NevadaCarson CityLas Vegas-Paradise .Reno-Sparks
New HampshireManchesterPortsmouthRochester-Dover .
New JerseyAtlantic CityOcean CityTrenton-EwingVineland-Millville-Bridgeton .
New MexicoAlbuquerque .Farmington ...LasCruces ...Santa Fe
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsElmiraGlens FallsIthacaKingstonNew York-Northern New Jersey-Long Island .Poughkeepsie-Newburgh-MiddletownRochesterSyracuseUtica-Rome
North CarolinaAshevilleBurlingtonChariotte-Gastonia-Concord.Durham ,FayettevilleGoldsboroGreensboro-High PointGreenvilleHickory-Lenoir-Morganton ....JacksonvilleRaleigh-CaryRocky MountWilmingtonWinston-Salem
North Dakota...BismarckFargoGrand Forks.,
OhioAkronCanton-MassillonCincinnati-MiddletownCleveland-Elyria-MentorColumbusDaytonLimaMansfieldSanduskySpringfieldToledoWeirton-SteubenvilleYoungstown-Warren-Boardman .
421.274.234.354.1
935.6168.2450.2
1,153.932.2
810.7209.3
634.699.456.053.6
4,065.2153.051.7
233.663.4
792.5372.347.661.161.1
8,532.6447.7114.3552.940.456.958.964.6
8,363.6253.1515.9320.7134.2
3,843.4164.759.0
772.3268.1119.042.8
356.568.7
165.140.4
446.262.3
126.4205.5
341.256.4
109.450.2
5,454.6329.7177.3
1,034.11,083.0
921.4414.558.060.344.353.5
330.848.3
245.3
421.375.234.656.0
941.0171.7455.2
1,223.833.2
871.5217.4
640.8100.355.956.0
4,065.3149.645.1
236.563.5
810.6378.749.464.362.0
8,560.3452.6113.5552.1
39.554.563.667.1
8,367.9256.1509.6324.2132.5
3,902.2167.660.5
800.0269.4119.543.7
361.071.5
167.441.9
453.562.4
131.9214.0
347.557.5
112.651.8
5,457.2332.3179.0
1,033.71,076.2
919.4411.157.859.741.452.7
333.749.9
243.4
428.475.635.155.4
944.1170.6458.3
1,228.333.2
873.4218.5
647.8101.457.354.0
4,113.5152.351.9
237.463.3
809.5379.249.262.762.7
8,608.8454.9113.7553.3
39.557.859.766.1
8,433.8256.3509.9324.7133.2
3,894.1167.260.7
799.1270.1119.542.7
361.070.3
165.841.1
455.361.8
129.6212.3
345.258.0
110.550.7
5,465.7329.7179.6
1,036.71,080.4
922.8411.858.059.843.453.0
330.949.2
241.7
7.3
(J)
9.5
1.0
1.7
15.0(J )( )
6.0(J)( )( )( )( >( )
7.0( J )< >
3.6(J )( )
11.9( J )( )( >( )< >( )< >( )
< >( )
0)
7.8
(J )10.3
.5
.4
( )
( 1 )
1.0
1.6
16.31
6.2
( J )< >( )oo( )( )( >1
6.40)( >( )
[])
I1)f 1 \
f 1 \
m? 1 \
( 1 )
\])
(])\1)( 1 )&/1 i/i j
/i *
0)(1)
3.9
11.8(J)( )( )< >( )( )( )( )( >
8.0
()( 2 )
(J )( )( 1 )10.5
C2)
1.0
1.6()(J)( )
16.4(J)( )( )( 1 )6.3
0)( )O( )( )( )
o0)
.6(J)( 1 )6.4
( >( )( )
( )( >( >1
4.0()( )111.9( J )( )( )
< >( >( )( )( )
o( )( )( )
26.72()
2
51.89.3
26.7
118.7( 2 )
88.220.5
31.25.51.82.2
171.47.1
<2)6.03.1.
51.126.38.53.94.7
331.713.94.4
21.71.42.51.22.8
338.811.418.613.23.9
221.010.33.8
50.49.05.02.1
18.93.54.92.9
33.34.1
10.49.6
19.83.57.43.3
246.914.79.8
54.746.542.516.32.62.21.62.0
16.32.2
11.4
25.82()
O2
49.98.8
27.1
133.8( 2 )
101.623.0
31.25.51.92.2
168.46.5
( 2 )6.12.9
53.627.8
8.84.14.4
327.218.74.2
21.71.32.71.23.0
337.211.517.513.03.6
226.210.74.0
51.99.14.92.1
19.03.64.82.9
34.03.9
11.010.2
18.63.47.13.0
239.514.79.8
54.846.643.615.62.52.21.51.9
16.72.1
11.2
27.32
52.08.9
28.4
136.8( 2 )
103.423.8
31.95.61.92.3
171.66.5
( 2 )6.22.9
54.728.48.74.14.4
337.219.24.3
22.51.42.81.23.1
345.411.818.313.63.9
229.610.74.0
52.39.04.92.1
19.13.64.82.9
34.33.9
11.010.3
20.13.87.53.3
247.115.110.156.347.844.216.32.62.21.62.0
17.32.2
11.5
See footnotes at end of table.
106Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 113: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/113.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(in thousands)
State and area June2004
19.3
(?)(2)(2)
101.115.433.1
46.33.2
23.414.2
80.79.54.06.5
341.64.6
( 2 )9.0
10.0
36.222.8
( 2 )3.51.2
603.022.817.967.0
6.57.24.04.9
505.224.379.733.514.2
581.622.813.685.841.111.86.8
66.37.1
57.51.0
30.312.58.1
31.5
25.23.09.13.5
828.349.831.5
125.7151.981.660.210.313.97.88.0
52.29.1
41.6
Manufacturing
May2005
19.fi( 2 )( 2 )( 2 )
99.014.!)32.(5
47.113.:?
24.114.4
80.(39.74.06.4
330.44.4
( 2 )8.5
10J)
35.4 i22.4
( 2 )3.7 :1.£
581.222.917.365.2
5.86.73.94.8
486.423.975.533.313.5
577.522.413.486.440.310.56.7
67.07.0
55.4.9
30.412.48.0
32.4
25.33.09.03.6
822.248.831.7
128.4152.680.657.110.713.46.78.1
49.69.1
40.9
June2005P
19.5( 2 )( 2 )( 2 )
100.214.933.1
47.33.2
24.314.4
81.39.84.06.4
331.84.5
( 2 )8.6
10.1
36.122.5
( 2 )3.71.2
583.623.217.565.6
5.86.73.94.6
488.624.075.533.413.4
579.122.413.586.540.610.46.7
67.37.0
55.0.9
30.312.58.0
32.6
25.73.19.33.6
823.448.932.2
128.2153.480.857.010.613.36.88.0
49.49.0
40.7
Trade, transportation, and utilities
June2004
87.518.57.7
12.5
196.828.597.9
204.34.4
139.643.5
140.920.811.611.4
883.222.2
9.632.913.2
137.565.810.19.6
10.2
1,493.779.521.2
102.87.99.96.2
12.51,589.6
55.485.565.823.0
728.530.110.0
165.633.022.7
8.572.011.328.97.7
83.312.827.140.1
73.411.624.711.1
1,039.766.034.3
209.2200.4183.872.012.011.07.5
10.765.08.5
51.0
May2005
87.418.87.8
12.7
201.229.9
100.4
209.04.3
144.144.0
141.920.911.411.0
885.922.0
8.432.513.3
138.366.410.59.7
10.1
1,486.979.520.9
101.77.69.56.7
12.71,578.1
55.983.465.322.8
726.729.110.1
171.132.922.6
8.672.611.429.1
8.082.512.627.240.8
74.612.225.911.1
1,027.165.433.7
204.6196.0181.270.111.410.47.3
10.864.9
8.150.4
June2005P
88.318.87.8
12.8
200.229.899.9
210.54.3
145.244.4
144.121.511.811.1
895.122.3
9.732.613.5
138.666.510.59.7
10.2
1,502.780.321.3
102.97.7
10.06.7
12.91,591.9
56.284.266.423.0
730.329.310.0
170.833.322.58.5
72.911.429.2
8.183.012.627.640.9
74.512.225.610.9
1,031.065.634.0
206.3197.1181.970.211.410.67.2
10.765.58.2
50.5
Information
June2004
7.9( 2 )
.8( 2 )
21.53.9
13.5
14.9( 2 )
10.43.1
12.53.31.61.3
99.81.1
( 2 )6.2
.9
14.89.6
( 2 )1.1
.9
270.310.82.2
10.0.7
1.1.7
1.4290.7
4.612.37.13.5
72.22.0
A23.2
3.52.1
.36.71.11.11.0
17.11.31.72.1
7.71.53.2
.7
93.74.62.3
16.320.219.811.1
( 2 )( 2 )( 2 )( 2 )
4.7( 2 )
3.5
May2005
7.9( 2 )
.8( 2 )
21.74.1
13.3
14.8( 2 )
10.53.0
12.93.31.81.4
96.51.1
( 2 )5.91.0
14.38.8
( 2 )1.2
.9
271.211.32.19.7
.71.1
.62.6
288.24.8
12.26.93.4
70.81.8
A23.7
3.32.2
.36.21.01.0.9
17.21.21.62.1
7.61.53.1
.7
91.84.82.2
16.519.919.910.7
( 2 )( 2 )( 2 )( 2 )
4.6( 2 )
3.0
June2005P
8.0( 2 )
.8( 2 )
21.84.2
13.4
14.7( 2 )
10.43.0
12.93.31.91.4
97.01.1
( 2 )5.91.0
14.58.8
( 2 )1.31.0
271.111.32.19.7
.71.1
.61.7
289.64.8
12.36.93.5
71.41.8
.423.9
3.42.2
.36.11.01.0.9
17.41.21.62.1
7.61.53.1
.7
92.84.92.2
16.819.820.010.8
( 2 )( 2 )( 2 )( 2 )
4.7( 2 )
3.0
MontanaBillingsGreat FallsMissoula .:..
NebraskaLincolnOmaha-Council Bluffs
NevadaCarson CityLas Vegas-FReno-Sparks
New HampshireManchesterPortsmouthRochester-Dover
New JerseyAtlantic CityOcean CityTrenton-EwingVineland-Millville-Bridgeton
New Mexico ...AlbuquerqueFarmingtonLas CrucesSanta Fe
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsElmiraGlens FallsIthacaKingstonNew York-Northern New Jersey-Long IslandPoughkeepsie-Newburgh-Middletown..........RochesterSyracuseUtica-Rome .............
North CarolinaAshevilleBurlingtonCharlotte-Gastonia-ConcordDurhamFayetteviiieGoldsboroGreensboro-High PointGreenville ......Hickory-Lenoir-MorgantonJacksonvilleRaleigh-CaryRocky Mount ...WilmingtonWinston-Salem
North DakotaBismarckFargoGrand Forks
OhioAkronCanton-MassillonCincinnati-MiddletownGfeveland-Elyria-MentorColumbusDaytonLimaMansfieldSanduskySpringfieldToledoWeirton-SteubenvilleYoungstown-Warren-Boardman „.
See footnotes at end of table.
107Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 114: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/114.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(in thousands)
State and area
Financial activities
June2004
21.4( 2 )( 2 )( 2 )
63.511.637.3
61.6( 2 )
46.110.8
37.88.84.82.6
280.04.5
( 2 )16.02.0
34.619.2
( 2 )2.42.9
704.326.4
4.735.1
1.62.11.72.6
772.610.322.217.57.9
194.35.42.4
67.511.14.11.5
19.62.53.61.4
23.92.96.3
12.8
18.72.98.11.6
314.714.88.2
65.681.874.819.0
<2>1.8
( 2 )2.9
13.2( 2 )
9.9
May2005
21.3( 2 )( 2 )( 2 )
64.012.437.1
64.6( 2 )
48.810.8
38.38.84.72.6
281.04.3
( 2 )16.22.0
35.419.4
( 2 )2.52.9
705.326.44.7
35.61.62.11.72.5
776.410.421.017.47.8
195.65.72.4
69.710.94.11.4
19.72.53.71.4
24.83.16.3
12.8
18.83.08.21.6
312.114.68.1
64.480.674.718.1
( 2 )1.7
( 2 )2.9
13.1( 2 )
10.1
June2005P
21.9<2>( 2 )( 2 )
64.812.737.4
65.4( 2 )
49.311.0
38.98.94.82.7
284.14.4
( 2 )16.22.0
35.519.4
( 2 )2.52.9
715.127.0
4.735.7
1.62.11.72.5
786.710.621.217.87.9
196.65.82.4
70.011.04.11.5
19.82.53.71.4
24.93.16.4
12.8
18.93.08.31.6
314.714.78.1
64.581.674.918.2
( 2 )1.7
( 2 )2.9
13.2( 2 )
10.1
Professional and business services
June2004
34.69.12.45.1
96.017.061.2
132.22.5
95.123.4
58.011.98.13.7
591.210.0
( 2 )35.53.5
90.459.3
( 2 )5.05.1
1,068.551.510.465.72.13.82.84.3
1,237.420.458.134.49.9
430.815.27.9
111.634.111.42.4
43.25.8
12.03.9
70.54.7
12.822.3
25.04.9
10.72.9
629.644.815.0
146.3135.8133.654.1
4.85.01.93.1
35.03.2
19.0
May2005
34.39.32.35.0
95.917.261.4
143.42.5
104.625.6
56.511.28.03.8
588.110.0
( 2 )34.8
3.6
92.460.4
( 2 )5.05.3
1,073.651.410.165.22.23.92.94.3
1,230.820.557.535.2
9.3
442.315.08.1
116.833.411.22.4
44.06.6
12.44.0
72.14.4
13.523.6
24.54.8
10.23.0
641.345.415.5
146.5133.3132.452.9
5.04.51.72.7
35.63.0
18.1
June2005P
35.69.42.45.2
96.517.461.9
144.62.5
105.026.2
57.011.48.13.8
594.110.3
( 2 )35.33.6
93.061.0
( 2 )5.15.4
1,089.652.510.266.32.24.02.94.3
1,246.520.958.435.8
9.3
446.815.18.2
117.133.511.32.4
44.56.6
12.44.1
72.84.6
13.623.9
25.04.9
10.43.0
647.845.615.6
148.6134.6133.153.5
5.24.71.82.8
36.03.0
18.6
Education and health services
June2004
53.910.75.87.9
126.523.481.9
79.4( 2 )
53.619.3
94.315.95.57.3
549.017.14.6
43.19.2
99.844.7
5.38.97.9
1,500.075.815.283.27.87.8
28.710.3
1,354.044.195.751.223.5
444.026.5
7.763.746.311.45.0
41.58.0
16.33.5
40.66.5
13.038,5
48.79.3
15.48.2
734.743.028.3
130.1161.5100.860.210.07.84.4
10.046.8
8.841.3
May2005
55.311.36.18.3
127.923.663.4
84.3( 2 )
57.320.0
97.316.55.67.5
562.317.54.6
43.09.2
106.247.5
5.59.38.5
1,555.980.015.185.38.17.9
32.210.4
1,392.447.2
100.954.324.3
460.527.4
7.966.447.312.05.2
43.68.4
17.23.6
42.36.5
13.839.6
49.49.6
15.78.2
752.643.628.6
132.2166.6102.962.9
9.57.94.5
10.147.0
9.840.9
June2005P
55.211.25.98.1
127.523.463.2
84.4( 2 )
57.420.0
97.316.45.57.5
563.717.64.7
42.89.2
102.546.5
5.49.28.1
1,529.377.815.283.77.88.0
29.110.2
1,383.345.597.652.324.0
460.227.4
7.966.647.411.95.2
43.38.4
17.13.6
42.36.5
13.839.7
49.89.6
15.48.3
744.243.528.4
131.7164.5101.862.99.57.94.5
10.146.8
8.940.0
MontanaBillingsGreat FallsMissoula
NebraskaLincolnOmaha-Council Bluffs
Carson CityLas Vegas-ParadiseReno-Sparks
New HampshireManchesterPortsmouthRochester-Dover
New JerseyAtlantic CityOcean CityTrenton-EwingVineland-Millville-Bridgeton
New MexicoAlbuquerqueFarmingtonLas CrucesSanta Fe
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsElmiraGlens FallsIthacaKingstonNew York-Northern New Jersey-Long IslandPoughkeepsie-Newburgh-MiddletownRochesterSyracuseUtica-Rome
North CarolinaAshevilleBurlingtonChariotte-Gastonia-ConcordDurhamFayettevilleGoldsboroGreensboro-High PointGreenvilleHickory-Lenoir-MorgantonJacksonvilleRaleigh-CaryRocky MountWilmingtonWinston-Salem
North DakotaBismarckFargoGrand Forks
OhioAkronCanton-MassillonCincinnati-MiddletownCleveland-Elyria-MentorColumbusDaytonLimaMansfieldSanduskySpringfieldToledoWeirton-SteubenvilleYoungstown-Warren-Boardman
See footnotes at end of table.
108Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 115: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/115.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls fn States and selected areas by major industry—Continued
(In thousands)
State and area
Leisure and hospitality
June2004
May2005
June2005P
Other services
June2004
May2005
June2005P
Government
June2004
May2005
June2005P
MontanaBillingsGreat Falls .Missoula ....
NebraskaLincolnOmaha-Counci! Bluffs..
NevadaCarson CityLas Vegas-Paradise .Reno-Sparks
New HampshireManchesterPortsmouthRochester-Dover .
New Jersey ,Atlantic City....Ocean CityTrenton-EwingVineland-Millville-Bridgeton .
New MexicoAlbuquerque .Farmington ...LasCmces ...Santa Fe
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsElmiraGlens FallsIthacaKingstonNew York-Northern New Jersey-Long Island .Poughkeepsie-Newburgh-MiddletownRochesterSyracuseUtiea-Rome....
North CarolinaAshevslleBurlingtonChariotte-Gastonia-Concord.DurhamFayettevilleGoldsboroGreensboro-High PointGreenvilleHickory-Lenoir-Morganton .....JacksonvilleRaleigh-CaryRocky MountWilmingtonWinston-Salem
North Dakota ....Bismarck.......Fargo ....Grand Forks..
OhioAkronCanton-MassillonCincinnati-MiddletownCleveland-Elyria-Mentor.............ColumbusDaytonLimaMansfieldSanduskySpringfield...Toledo.....Weirton-SfeubenviiieYoungstown-Warren-Boardman .
58.010.15.07.1
80.315.842.5
315.54.0
249.439.7
69.28.57.75.4
349.359.615.214.93.8
85.737.6
5.26.19.1
695.233.79.5
49.23.38.83.97.3
635.620.841.727.610.2
363.220.9
5.472.520.012.73.7
31.37.2
12.05.9
40.54.8
19.518.6
31.65.3
11.25.1
524.332.117.4
109.696.490.738.4
5.55.7
12.05.6
34.85.6
24.6
55.110.05.16,9
82 916343.1
330 341
264,539,4
67,08.77,053
343 057111 115.637
85-037.3
5.26394
688.232,894
48,08 17.24.17,5
633220 739,528 0
9,5
358,822.0
5,374.319,712.83,7
2977.8
12.65.8
40.14.7
19.119.3
32.35.3
11.85.5
513.731.318.2
105.294.290.839.4
5.25.29.45.3
34.25.3
243
59.210.55.37.2
84.216.343.4
332.24.3
265.639.7
72.28.88.15.3
364.258.915.415.83.8
87.137.6
5.46.39.6
712.033.89.5
49.23.29.54.07.7
655.121.141.528.39.9
366.222.4
5.475.019.512.83.8
30.07.8
12.56.0
40.64.8
19.719.4
32.55.5
11.75.3
527.032.118.3
107.496.492.339.75.45.4
11.15.5
34.95.3
24.5
16.92
34.96.9
16.5
35.0( 2 )
23.57.5
21.34.11.61.9
156.64.2
( 2 )7.62.1
30.812.2
( 2 )1.63.7
355.518.44.6
23.11.72.51.42.7
349.59.7
19.112.85.1
171.57.41.6
35.918.74.01.9
15.92.25.91.7
22.52.46.18.9
15.22.94.81.9
230.613.99.1
43.545.139.317.1
( 2 )2.7
<2>2.8
15.8( 2 )
11.0
17.12
34.66.7
16.2
39.6( 2 )
26.68.2
20.04.21.61.9
159.54.2
( 2 )7.72.0
28.811.9
( 2 )1.52.9
358.418.74.5
23.81.62.31.42.9
351.09.6
19.012.95.1
170.87.41.6
36.118.34.01.9
16.02.25.91.7
23.12.36.18.9
14.92.85.01.9
228.813.79.1
42.944.238.817.6
( 2 )2.8
( 2 )2.8
16.1( 2 )
11.0
17.2
35.06.5
16.9
40.2<2>
27.08.3
20.44.21.61.9
161.04.3
( 2 )7.92.0
31.212.2
( 2 )1.63.6
360.218.74.5
23.81.62.41.32.9
352.89.7
19.012.95.1
173.27.51.6
36.518.54.01.9
16.22.36.01.7
23.52.36.29.0
14.82.84.91.8
229.313.89.2
43.044.739.317.7
( 2 )2.8
< 2 )2,8
16.2( 2 )
11.0
87.79.35.79.8
162.736.459.6
136.510.581.026.9
87.711.19.3
11.3
641.422.610.262.415.6
196.674.811.019.015.4
1,504.4109.924.295.1
7.411.28.3
15.81,289.6
52.182.457.633.0
629.324.1
6.296.151.333.810.641.120.022.911.484.210.321.421.1
72.311.514.811.9
800.246.021.4
133.1143.4154.566.17.48.95.88.3
47.06.5
32.0
89.89.65.7
11.2
163.937.860.6
146.611.288.928.6
94.111.59.9
13.9
648.622.5
9.666.215.8
204.976.811.521.016.4
1,506.2110.925.295.9
7.511.13.9
16.61,294.2
51.682.557.933.2
666.626.1
7.3103.654.235.211.443.221.025.312.787.011.325.324.3
77.611.916.613.2
816.350.022.1
138.2142.2154.566.7
7.29.15.78.1
51.96.9
33.5
88.29.35.7
10.0
161.936.560.7
141.711.085.327.3
90.811.59.6
11.6
649.322.410.166.115.7
199.976.311.319.216.3
1,501.7111.124.493.97.5
11.28.3
16.21,293.9
51.781.357.333.2
634.324.8
7.3100.453.935.410.341.819.724.111.586.210.321.721.6
72.311.614.312.2
796.545.521.5
133.9140.5154.565.57.19.05.78.1
46.96.9
31.8
See footnotes at &nd of table.
109Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 116: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/116.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Total
June2004
May2005
June2005P
Natural resources and mining
June2004
May2005
June2005P
Construction
June2004
May2005
June2005P
OklahomaLawtonOklahoma City.Tulsa
OregonBendCorvallisEugene-SpringfieldMedfordPortland-Vancouver-BeavertonSalem
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-CarlisleJohnstownLancasterLebanonPhiladelphia-Camden-Wilmington ...PittsburghReadingScranton—Wilkes-BarreState CollegeWilliamsportYork-Hanover
Rhode IslandProvidence-Fall River-Warwick .
South Carolina 5 ,Anderson ,Charleston-North CharlestonColumbiaFlorenceGreenvilleMyrtle Beach-Conway-North Myrtle Beach .
Sumter
South DakotaRapid City ....Sioux Falls ...
TennesseeChattanoogaClarksvilleClevelandJacksonJohnson CityKingsport-Bristol-BristolKnoxvilleMemphisMorristownNashville-Davidson—Murfreesboro.
TexasAbileneAmarilloAustin-Round Rock ,Beaumont-Port ArthurBrownsville-HariingenCollege Station-BryanCorpus ChristiDallas-Fort Worth-ArlingtonEl PasoHouston-Baytown-Sugar Land .Killeen-Temple-Fort HoodLaredoLongviewLubbockMcAllen-Edinburg-PharrMidlandOdessaSan AngeloSan AntonioSherman-DenisonTexarkanaTylerVictoriaWacoWichita Falls
1,471.540.8
541.0400.2
1,610.961.138.8
145.979.4
953.2141.9
5,690.2334.563.2
131.6326.759.8
235.347.9
2,766.11,153.2
167.4258.0
68.754.0
172.4
494.7590.1
1,849.262.8
274.3345.688.4
294.5119.2122.139.8
393.461.4
125.1
2,708.7236.1
81.441.059.775.9
119.7322.6614.4
49.8709.5
9,503.663.2
108.2
154.7116.983.2
167.22,700.0
255.42,295.5
111.877.485.5
123.6184.657.152.343.3
765.943.653.388.047.4
101.460.7
1,505.141.2
554.8402.4
1,642.962.238.2
147.380.2
968.1143.3
5,737.3335.6
63.4134.0327.560.9
235.348.1
2,787.11,144.9
169.7258.1
71.754.5
175.6
498.5590.5
1,847.263.6
281.0348.389.6
294.2118.3122.539.4
394.360.3
127.7
2,730.8240.8
81.241.560.781.0
121.4327.9625.451.5
724.4
9,622.764.6
109.4684.3157.2119.989.8
168.12,736.0
261.32,319.1
114.879.988.1
126.3193.557.552.344.3
776.144.955.089.14a2
103.661.8
1,497.041.3
552.2403.7
1,658.563.538.7
148.180.4
971.0143.2
5,746.3337.4
63.3132.8329.1
61.0236.7
48.22,800.11,151.3
170.0258.5
69.454.5
175.8
500.3592.5
1,846.863.5
282.8345.989.1
294.5120.4122.839.8
62.3128.9
2,728.8238.2
82.540.760.478.2
120.6328.2624.3
51.3721.4
9,623.064.7
108.5682.7155.8119.984.6
167.92,739.4
259.12,323.7
114.179.388.1
124.5192.057.751.844.1
776.944.954.489.148.1
102.961.7
31.4
1 )4.7
10.0!
.9
.61.91.4
19.2
< )
o
5.1(!)( )O( )( )
4.1( ! )( )
o( )( >( )
153.7!
( )( )( )( )( )
o( )( )o( )( )( >< )( )< >( )( )( >( >< >( )( )
32.0
4.6
9.4
.9
.71.91.3
18.5( )
( )
4.1
4.2( J )< >
155.9
/ 1 \
ill(!)
I( )< 1 >(1 )/ 1 \
32.7| )' )
4.6
10.5
)1.0.7
1.91.4
18.9!
O(J)( )( )( )
0)
4.1
( ! )( )
o( )< }( )( )(J)1
4.140)!
O( )O
156.41
( )( )( >1( >( )( )o( )( )( )( >( )()( )oo( )
64.11.5
24.319.5
84.26.11.36.84.7
54.97.3
260.216.5
( 2 )5.1
12.6( 2 )
16.9( 2 )
127.062.98.6
11.02
11.6
21.827.0
116.03.4
21.321.04.4
17.59.77.02.8
22.04.97.4
120.59.52.71.83.63.77.0
16.526.8
1.935.4
548.44.17.3
37.913.94.96.0
15.3158.8
11.6232.1
5.93.99.85.5
10.810.87.12.9
45.22.92.54.96.25.63.4
63.51.4
24.419.6
87.06.41.37.04.7
55.87.4
259.516.6
( 2 )4.7
12.2( 2 )
17.2( 2 )
126.958.9
8.710.7
2
11.5
21.626.5
111.33.3
21.019.74.2
17.29.87.12.7
22.25.17.6
120.89.52.71.83.64.26.9
17.326.9
1.935.1
551.54.47.5
39.313.94.76.1
16.7159.4
11.7238.5
5.94.1
10.35.5
10.610.5
6.72.9
44.93.02.65.06.35.83.3
65.11.4
24.920.2
90.26.71.47.24.9
56.57.4
267.117.1
( 2 )4.9
12.7( 2 )
17.6( 2 )
129.960.5
9.011.1
2
11.9
22.327.5
112.83.4
21.319.44.3
17.89.87.22.7
23.65.38.1
122.79.82.81.83.74.27.0
17.227.62.0
35.9
556.44.57.6
39.613.54.86.1
16.8160.4
11.7239.4
6.14.2
10.35.5
10.610.86.72.9
45.83.12.65.06.35.83.3
See footnotes at end of table.
110Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 117: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/117.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Manufacturing
June2004
May2005
June2005P
Trade, transportation, and utilities
June2004
May2005
June2005P
Information
June2004
May2005
June2005P
OklahomaLawtonOklahoma City .Tulsa
OregonBendCorvallis ..............Eugene-SpringfieldMedfordPortland-Vancouver-Beaverton .Salem
PennsylvaniaAllentown-Bethlehem-Easton .Altoona ...ErieHarrisburg-CariisleJohnstown
LebanonPhiladelphia-Camden-Wilmington .PittsburghReadingScranton—Wilkes-BarreState CollegeWilliamsportYork-Hanover
Rhode IslandProvidence-Fail River-Warwick .
South CarolinaAndersonCharleston-North CharlestonColumbiaFlorence....Greenville ,Myrtle Beach-Conway-North Myrtle Beach .SpartanburgSumter .............
South Dakota .Rapid City....Sioux Falls ...
TennesseeChattanoogaClarksvilleClevelandJacksonJohnson CityKingsport-Bristol-BristoiKnoxvilleMemphisMorristownNashville-Davidson—Murfreesboro.
AbileneAmarilloAustin-Round RockBeaumont-Port Arthur...............Brownsville-HariingenCollege Station-Bryan...............Corpus Christ!Dallas-Fort Worth-Arlington ......El PasoHouston-Baytown-Sugar Land ..Killeen-Temple-Fort Hood ........LaredoLongviewLubbockMcAllen-Edinburg-PharrMidland
San AngeloSan AntonioSherman-Denison.Texarkana..............TylerVictoriaWacoWichita Falls
140.63.9
37.147.4
200.85.75.8
19.77.1
120.314.4
45.98.8
24.425.64.7
46.49.3
238.8104.332.035.84.9
11.839.1
57.676.6
269.414.221.131.314.745.94.5
30.610.1
39.54.0
12.5
414.335.114.910.411.011.126.239.053.915.983.8
893.03.0
11.957.419.27.75.9
11.5295.324.1
208.38.21.7
11.05.58.82.04.03.8
45.86.45.59.75.7
13.57.4
141.33.9
38.046.1
202.66.05.6
19.97.2
120.813.5
683.444.68.4
24.724.34.8
45.09.3
230.2101.531.733.8
• . 4.711.939,2
55372 4
264614 021 130,314.744.54.4
29.89,9
39.93.9
12,7
412.535.014610,111,211.125.938,453.616.084.1
888.G3.1
11.657.419.07.S5.S
11.3294.823.C
206.98.21.7
11.25.48.42.14.03.8
45.86.55.48.5•5.6
13.517.Ci
139.23.9
36.346.3
207.26.05.6
19.87.1
122.613.9
688.045.08.5
24.724.64.7
45.49.4
229.5102.032.034.24.8
12.039.4
55.572.5
264.413.921.230.114.744.54.4
29.79.9
40.13.9
12.8
414.034.814.710.111.211.125.938.454.116.084.1
890.63.1
10.957.719.07.85.9
11.2295.523.1
207.98.11.7
11.25.48.32.14.03.8
45.86.55.49.75.7
13.37.6
277.76.9
96.583.0
319.711.74.0
26.917.9
194.223.3
1,122.466.914.922.669.011.751.011.4
531.9234.632.857.89.9
10.637.6
80.7103.6
355.612.855.564.017.160.223.324.96.5
78.212.726.9
585.355.014.37.5
12.213.324.368.2
168.59.7
144.6
1,937.012.022.9
114.230.922.811.829.9
589.055.7
472.520.825.116.924.038.710.611.87.4
136.28.3
11.619.09.4
17.610.7
277.16.9
97.781.3
326.812.24.0
26.618.4
195.523.8
1,126.668.015.222.870.111.851.211.7
538.0233.232.857.79.9
10.837.5
78.8100.6
356.613.058.265.317.459.023.925.06.4
79.712.728.0
590.055.714.67.5
12.413.924.570.0
173.310.1
146.9
1,951.912.223.1
117.330.923.412.229.6
591.057.0
472.020.925.117.524.440.510.711.97.4
139.28.3
11.819.19.9
17-711.0
279.07.0
98.081.4
330.112.44.0
26.718.3
196.923.9
1,130.968.615.222.970.011.851.311.7
541.6233.832.957.99.8
10.837.5
79.8101.6
357.712.959.065.217.359.224.125.16.4
80.112.927.9
591.755.814.87.6
12.414.024.570.1
173.810.1
147.6
1,960.812.223.1
117.830.923.412.229.7
592.557.3
474.821.025.117.524.540.110.611.97.4
139.58.4
11.718.99.8
17.711.1
31.4.5
13.411.5
33.21.5.9
3.41.8
22.51.6
113.57.8
( 2 )2.66.4
(2 )4.0
( 2 )56.524.42.16.3
2
)2.0
11.011.8
26.5.4
3.75.91.27.01.71.0
6.71.12.6
49.62.91.2.2.7
2.51.86.38.7
.719.3
227.41.22.5
20.62.81.41.02.6
94.65.0
38.31.5.7
1.85.72.71.8.6
1.822.3
.5
.51.9.7
1.81.6
31.6.5
13.912.0
34.31.6.9
3.41.9
23.21.6
110.07.6
( 2 )2.76.3
( 2 )4.0
( 2 )54.923.82.26.6
)1.8
10.811.6
26.8.4
3.75.91.26.21.61.0
6.71.12.7
48.03.11.2.3.7
2.41.76.38.4
.718.9
227.91.22.5
20.92.81.41.12.4
93.54.9
37.81.5.7
1.95.93.01.8.6
1.821.6
.6
.52.0
.71.81.5
31.6.5
14.012.2
34.61.6.9
3.41.9
23.41.6
110.87.6
( 2 )2.66.3
<2>4.0
( 2 )55.323.92.26.6
>1.9
10.911.7
27.0.4
3.76.01.26.21.61.0
6.71.12.7
48.13.11.2.3.7
2.41.76.38.4
.719.1
229.41.22.5
21.02.81.41.12.3
93.54.8
37.81.6.7
1.95.93.01.8.6
1.821.7
.6
.52.0
.71.81.6
See footnotes at end of table.
I l lDigitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 118: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/118.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Financial activities
June2004
85.22.3
35.625.2
97.44.11.57.74.3
66.07.0
339.416.5
( 2 )6.9
24.9( 2 )
10.2( 2 )
221.070.3
8.414.2
( 2 )( 2 )
5.7
34.537.6
94.41.7
11.826.1
7.113.69.44.11.4
28.03.3
15.3
142.018.62.71.71.74.54.4
16.733.2
1.944.2
596.13.16.1
40.26.24.63.68.0
214.611.4
137.66.13.23.37.17.73.02.31.9
62.12.82.23.91.96.22.2
May2005
85.82.3
35.925.2
98.04.11.58.04.3
65.97.1
336.516.2
( 2 )7.0
24.9( 2 )
10.1( 2 )
218.569.78.5
14.2( 2 )< 2 )
5.7
35.338.1
93.91.7
12.825.7
7.013.49.04.21.4
28.13.2
15.4
143.718.72.51.61.84.44.4
16.932.6
1.844.7
601.33.16.0
40.36.94.93.68.0
216.511.9
135.85.93.43.27.18.13.12.31.9
62.12.82.24.21.96.22.3
June2005P
86.82.3
36.225.4
98.84.11.57.94.3
65.97.1
339.216.3
( 2 )7.1
25.0( 2 )
10.2( 2 )
220.370.1
8.614.3
( 2 )( 2 )
5.8
35.638.4
94.91.8
13.125.5
7.113.49.64.31.4
28.43.2
15.5
144.118.82.51.61.84.34.4
17.032.6
1.844.7
604.53.16.0
40.26.94.83.78.1
217.412.1
136.65.93.43.27.08.13.12.31.9
62.42.82.24.21.96.22.3
Professional and busines
June2004
16223.8
67.351.6
178.16.02.8
15.67.9
122.212.4
640.635.65.6
11.635.7
6.022.0
( 2 )405.8140.9
19.621.2
5.6( 2 )
14.7
54.262.0
197.44.5
34.040.5
6.642.6
9.511.42.6
24.24.28.2
302.926.2
8.63.94.27.39.7
38.972.0
3.691.5
1,095.14.27.9
89.212.57.45.4
15.8367.827.2
314.48.44.46.7
10.611.55.93.73.4
90.92.73.57.02.88.53.3
May2005
168.63.9
69.552.6
180.56.42.8
15.98.0
124.312.8
650.735.6
5.411.636.6
5.821.9
( 2 )412.1141.920.120.8
5.8( 2 )
15.0
55.862.6
187.14.7
35.539.7
6.743.110.211.92.8
23.74.28.6
303.026.6
8.73.94.47.7
10.139.172.6
4.295.0
1,102.14.28.2
91.513.17.55.4
15.7377.727.7
314.78.84.26.8
10.711.66.13.73.5
91.32.73.26.72.88.53.2
ss services
June2005P
169.43.9
70.253.0
183.36.72.9
16.27.9
125.412.9
657.136.0
5.511.737.0
5.922.4
( 2 )416.4143.220.421.0
5.9( 2 )
15.2
56.463.4
188.94.8
36.240.0
6.943.010.512.22.9
24.54.38.6
304.726.6
8.94.14.47.6
10.239.373.04.3
96.1
1,110.24.28.2
92.113.07.65.4
15.8379.827.8
317.78.94.36.9
10.711.66 23.73.6
91.82.73.26.72.88.43.1
Education and health services
June2004
177.13.9
67.351.9
190.17.05.0
18.411.1
113.018.0
981.356.710.123.242.413.032.4
7.2483.5211.9
21.246.3
7.08.6
21.1
89.8104.1
180.55.7
28.538.411.028.6
8.610.34.8
56.38.9
22.3
318.723.8
8.64.67.5
10.615.737.471.3
5.197.9
1,136.913.415.067.722.825.9
8.725.6
271.829.8
251.815.710.813.918.336.4
6.25.37.4
102.38.18.8
17.06.2
16.99.7
May2005
182.03.9
68.252.5
200.07.35.0
19.011.4
119.918.7
1,016.459.810.224.043.513.832.37.5
499.2215.6
21.648.9
7.09.1
22.5
97.0111.4
184.46.0
29.340.111.229.7
8.910.74.9
57.09.1
22.9
325.424.0
8.64.77.7
11.215.738.373.6
5.599.0
1,171.513.915.069.323.426.7
8.925.7
278.031.1
259.116.211.214.718.539.56.45.67.4
104.98.69.1
17.66.4
18.710.0
June2005P
181.04.0
68.152.1
196.77.35.0
19.011.3
117.318.0
1,003.158.510.123.743.113.432.07.4
493.5214.9
21.647.36.98.9
22.2
93.0107.6
183.55.9
29.239.911.129.3
8.910.64.9
56.68.9
22.8
324.723.8
8.64.67.4
10.915.738.473.45.5
99.0
1,166.713.915.068.923.426.6
8.925.6
276.531.1
257.516.011.214.718.639.36.45.67.3
104.78.69.1
17.76.4
17.910.1
OklahomaLawtonOklahoma City.Tulsa
OregonBendCorvallisEugene-SpringfieldMedfordPortland-Vancouver-Beaverton .Salem
Pennsylvania .....Allentown-Bethlehem-Easton ........Altoona .....ErieHarrisburg-CariisleJohnstownLancasterLebanonPhiladelphia-Camden-Wilmington .PittsburghReadingScranton—Wilkes-Barre
Williamsport....York-Hanover.
Rhode IslandProvidence-Fall River-Warwick .
South Carolina 5
AndersonCharleston-North CharlestonColumbiaFlorenceGreenvilleMyrtle Beach-Conway-North Myrtle Beach .SpartanburgSumter
South Dakota ..Rapid CitySioux Falls ....
TennesseeChattanoogaClarksvilleClevelandJacksonJohnson CityKingsport-Bristol-BristolKnoxvilleMemphisMorristownNashville-Davidson—Murfreesboro.
TexasAbileneAmarilloAustin-Round Rock ,Beaumont-Port Arthur ,Brownsville-HarlingenCollege Station-BryanCorpus ChristiDallas-Fort Worth-ArlingtonEl PasoHouston-Baytown-Sugar Land .Wlleen-Temple-Fort HoodLaredoLongviewLubbockMcAllen-Edinburg-PharrMidland
San AngeloSan AntonioSherman-Denison ...TexarkanaTylerVictoriaWacoWichita Falls
See footnotes at end of table.
112Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Leisure and hospitality
June2004
132.44.1
54.235.1
159.59.03.5
13.89.4
89.112.4
504.531.5
6.113.329.5
4.721.4
( 2 )220.5112.4
13.822.8
6.44.1
14.6
54.363.6
211.26.8
35.629.9
7.728.535.610.63.2
45.09.7
12.6
262.522.08.03.45.08.0
11.533.669.5
3.173.9
912.18.7
11.869.213.812.38.9
19.6257.0
25.0210.1
10.48.07.5
14.716.86.05.44.3
91.74.25.38.34.39.55.8
May2005
133.14.0
55.435.0
162.B8J53.4
13.5)9 p
89.B12.i>
501.tf29.7
5.913.328.54.9
21.7( 2 )
219.7110.413.523.2
6.04.0
14.4
53.063.1
212."'6.H
35.431.0
7.I529J533.910.43.1
42.48.4
12.5
261.821.9
8.23.3 !4 9 !8.3
12.035J569.7
3.173.9
912.76.5
11.670.913.312.29.1
18.7256.5
25.3213.1
11.08.17.4
14.517.15.95.14.4
92.04.45.38.34.19.45:3 !
June2005P
132.64.0
55.335.8
164.99.23.4
14.19.6
90.812.5
517.430.96.1
13.429.9
5.122.2
( 2 )227.0113.3
13.723.6
6.74.1
14.6
56.365.9
216.67.0
36.231.1
7.629.535.110.63.2
45.510.012.9
265.622.2
8.23.34.98.5
12.135.670.4
3.075.3
925.66.6
11.872.013.912.69.1
19.2258.8
25.6216.5
11.18.27.5
14.417.46.05.14.4
94.64.45.48.34.29.56.0
June2004
75.01.9
28.621.8
58.11.91.24.92.8
34.85.1
267.315.5
( 2 )6.4
17.5< 2 )
10.5( 2 )
123.560.58.0
10.4( 2 )( 2 )
7.7
23.626.9
70.12.2
10.513.03.1
11.14.44.4
( 2 )
16.22.75.0
103.010.83.02.42.32.34.3
14.024.7
1.629.2
366.53.14.7
26.46.23.82.77.1
108.77.7
96.74.61.73.25.44.92.42.81.9
28.41.72.44.01.74.63.4
Other services
May2005
74.31.8
28.521.4
59.71.81.25.02.9
35.15.3
267.415.2
( 2 )6.2
17.4( 2 )
10.5( 2 )
123.860.2
8.010.3
( 2 )( 2 )
7.8
23.426.8
66.82.1
10.212.93.0
11.14.44.3
( 2 )
16.12.65.1
103.310.83.02.32.42.24.5
13.924.4
1.729.6
368.13.34.9
26.96.04.12.87.2
108.58.0
97.84.81.93.35.65.42.42.92.0
28.51.72.43.91.84.63.S
5
June2005P
75.91.9
28.921.8
59.31.81.25.02.8
34.95.2
270.515.6
( 2 )6.3
17.6( 2 )
10.6( 2 )
125.161.0
8.110.4
( 2 )( 2 )
7.9
23.827.2
67.22.1
10.313.03.0
11.34.54.3
( 2 )
16.22.75.1
103.310.93.02.32.42.24.5
14.024.8
1.729.5
371.33.34.9
27.06.04.12.87.3
109.48.0
98.74.81.93.45.65.42.42.92.0
28.91.82.44.11.84.73.5
Government
June2004
294.412.0
108.448.5
279.88.1
12.827.811.8
134.339.0
745.241.6
8.915.563.110.020.5
7.7357.2131.020.932.225.5
7.618.3
67.076.6
323.011.152.375.515.539.512.517.87.1
76.49.9
12.3
405.832.217.45.1
11.512.614.852.085.8
6.389.7
1,637.412.418.1
143.826.426.129.231.8
342.457.9
333.230.217.911.426.846.3
8.49.38.5
14106,0
11.012.38.5
17.213.2
May2005
315.812.6
114.751.5
282.07.8
12.527.711.5
135.939.6
767.142.3
9.417.063.710.121.4
7.7363.8129.722.631.928.0
8.120.2
67.377.1
338.911.653.877.716.740.512.218.16.9
77.710.012.2
418.135.517.16.0
11.615.615.752.190.3
6.597.2
1,691.812.719.0
150.527.427.134.732.8
360.160.7
343.431.619.511.828.749.3
8.59.59.2
145.86.3
12.512.88.7
17.613.5
June2005P
303.712.4
111.650.9
282.97.7
12.827.811.6
135.439.3
743.341.8
8.815.562.910.021.0
7.6361.5128.621.532.125.5
7.519.4
66.576.4
329.711.352.675.715.940.311.917.87.1
77.110.012.5
405.832.417.85.0
11.513.014.651.986.26.2
90.1
1,651.112.618.5
146.426.426.829.431.9
355.657.6
336.830.618.611.526.948.2
8.39.09.0
141.76.0
11.912.58.5
17.613.1
OklahomaLawtonOklahoma CityTulsa
OregonBendCorvallisEugene-SpringfieldMedfordPortland-Vancouver-Beaverton .................Salem .,
PennsylvaniaAllentown-Bethlehem-EastonAltoonaErieHarrisburg-CaiiisSeJohnstownLancasterLebanonPhiiadelphia-Camden-WilmingtonPittsburghReadingScranton—Wilkes-BarreState CollegeWilliamsportYork-Hanover
Rhode IslandProvidence-Fall River-Warwick
South CarolinaAndersonCharleston-North CharlestonColumbiaFlorence..GreenvilleMyrtle Beach-Conway-North Myrtle BeachSpartanburgSumter
South DakotaRapid CitySSoux Falls
TennesseeChattanoogaClarksvilleClevelandJacksonJohnson CityKingsport-Brtstol-BristoiKnoxvill©MemphisMorristownNashville-Davidson—Murfreesboro...........
Tei^s .,AbileneAmarillo .,Austin-Round RockBeaumont-Port ArthurBrownsville-HarlingenCollege Station-BryanCorpus ChristiDallas-Fort Worth-Arlington ..,El PasoHouston-Baytown-Sugar LandKilleen-Temple-Fort Hood .,LaredoLongviewLubbockMcAllen-Edinburg-PhatrMidland.........................................OdessaSan AngeloSan AntonioSherman-DenisonTexarkanaTyler................................Victoria................................WacoWichita Falls
See footnotes at end of table.
113Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Total
June2004
May2005
June2005P
Natural resources and mining
June2004
May2005
June2005P
Construction
June2004 2005
June2005P
UtahLoganOgden~Clearfield .Provo-OremSt. GeorgeSalt Lake City
VermontBurlington-South Burlington....
VirginiaBlacksburg-Christiansburg-RactfordChariottesvilleDanvilleHarrisonburgLynchburgRichmondRoanokeVirginia Beach-Norfolk-Newport News ....Winchester
WashingtonBellinghamBremerton-SilverdaleKennewick-Richland-Pasco.LongviewMount Vemon-AnacortesOlympiaSeattle-Tacoma-Bellevue ....SpokaneWenatcheeYakima
West VirginiaCharlestonHuntington-Ashland ...MorgantownParkersburg-Marietta.Wheeling
WisconsinAppletonEau ClaireFond du LacGreen BayJanesville
MadisonMilwaukee-Waukesha-West Allis .Oshkosh-NeenahRacineSheboyganWausau
Wyoming .....CasperCheyenne .
Puerto RicoAguadtlla-lsabela-San Sebastian .FajardoGuayamaMayaguezPonceSan German-Cabo RojoSan Juan-Caguas-GuaynaboYauco
Virgin Islands.
1,109.748.8
186.8162.543.6
564.6
304.9114.0
3,624.370.492.944.460.5
102.3609.3159.2760.255.6
2,729.378.183.286.637.044.394.0
1,601.8202.7
38.177.6
741.1149.8117.054.974.167.4
2,848.0117.778.248.6
169.669.373.6
338.0843.6
91.580.363.071.3
265.936.741.7
1,051.449.016.717.439.566.221.9
793.214.1
42.6
1,136.749.6
188.7166.846.7
578.6
307.3115.1
3,641.271.592.643.661.9
102.9618.5160.4759.155.9
2,761.481.785.089.737.746.196.5
1,630.4204.4
38.377.2
748.9150.4117.858.274.368.4
2,844.6116.878.649.7
168.971.273.9
340.1845.9
93.279.562.471.6
263.037.441.5
1,037.449.117.717.037.764.921.7
784.714.7
42.8
1,146.250.0
190.4167.946.7
583.0
309.9114.8
3,674.670.593.043.561.7
103.2622.5161.6767.856.4
2,786.981.986.090.738.146.797.4
1,646.3205.439.577.7
750.7152.3117.856.174.168.5
2,874.7119.677.750.0
169.971.473.8
342.9852.993.879.964.272.5
272.138.142.4
1,029.649.317.617.037.664.221.5
779.114.6
42.5
7.2
( 1 1 )
{;>1.0
10.4
/1 (
(J)
9.0
1.7
24.10)(2)(2)
o(2)
4.1O)< )< >< )( >( )
< >V)
20.13.0
()<*>( 2 )
O(2)0)2
( )< >( )
1
7.7
1.11 )
10.3
(!)
o(I )2
8.9
1.6
25.0!
3.8
(J)(!)
21.73.4
1
()O(2
( )
7.7
1.11 )
10.4
9.10)( )
( 1 )
1.6
252
< >( )< >( )( )( 1 )(J)o( )
3.9
22.33.5
1
()O(2)
75.12.9
13.812.65.8
35.7
18.26.5
235.62
42.410.249.9
2
166.57.04.95.52.93.55.1
96.312.02.93.7
36.214.9
2
135.49.03.53.09.63.43.1
17.834.74.14.32.73.2
20.82.52.9
67.32
4.92)
49.72 )
1.8
79.22.9
14.413.16.8
37.7
18.16.6
240.02
)43.510.352.3
( 2 )
171.37.95.55.63.03.75.3
98.812.62.63.6
38.715.8
2
134.68.93.43.29.53.33.0
16.536.1
3.94.22.73.1
20.92.52.8
66.3C2)!
3.92)
51.02 )
1.9
81.93.0
14.913.76.8
38.5
19.47.0
244.6?
43.910.553.1
2
175.87.95.75.73.13.85.4
100.813.22.73.7
39.716.3
2
143.49.23.53.3
10.13.53.2
16.837.84.14.12.83.3
21.72.63.0
65.42
3.82)
50.62 )
1.9
See footnotes at end of table.
114Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Conitinued
(In thousands)
State and area June2004
115.58.5
22.417.82.9
52.5
37.315.4
299.814.74.8
11.113.519.145.918.059.9
( 2 )
264.68.31.85.67.35.23.3
163.917.52.29.6
63.07.59.73.7
10.05.0
506.624.410.610.731.414.79.9
32.5135.623.018.223.318.1
9.61.61.6
118.49.5
( 2 )3.63.97.65.8
80.1( 2 )
2.1
Manufacturing
May2005
117.08.5
22.517.73.1
53.4
37.215.2
297.914.54.7
10.012.B18.945.B18.160.9
( 2 )
266.B8.r,1.tt5.57.35.23.4
169.716.B2.39.1
63.06.1$
10.13.8
10.1)5.1)
501.024.210.410.931.016.99.1 !
31.3 '135.3 |23.2 i18.323.1 ;18,1 ;
9.2 ;1.71.(3
117.29.0
( 2 )4.13.88.96.0
'• 76.8( 2 )
2.2
June2005P
117.78.5
22.617.93.1
53.8
37.815.5
299.214.54.89.9
12.819.046.118.261.4
( 2 )
269:98.61.85.57.45.33.5
171.017.02.39.2
64.26.7
10.13.8
10.14.9
508.325.110.511.130.916.99.2
32.8136.423.519.023.818.9
9.61.71.6
116.58.9
( 2 )4.13.48.95.8
76.5( 2 )
2.2
Trade, transportation, and utilities
June2004
218.87.4
36.226.110.2
118.2
59.022.1
648.89.7
13.57.4
11.819.2
114.035.0
139.011.9
520.514.813.314.57.19.2
14.6309.340.9
8.417.1
137.028.8
( 2 )2
( 2 )( 2 )
543.623.516.19.3
36.015.614.060.3
153.714.615.58.8
16.1
50.58.38.8
182.67.92.82.36.7
10.23.0
142.52.3
8.3
May2005
223.57.6
36.326.710.7
120.8 I
58.621.7
654.89.5
13.77.4
11.819.4
114.834.8
139.212.0
527.615.513.714.97.29.8
15.3313.941.7
8.916.9
137.928.8
( 2 )2 )
( 2 )( 2 )
540.623.515.79.4
36.715.314.759.0
151.615.214.99.2
16.2
49.98.48.7
182.98.02.82.16.99.42.9
144.72.3
8.5
June2005P
224.67.6
36.326.910.7
121.9
59.322.1
657.39.4
13.77;6
11.719.4
115.335.0
140.212.0
532.215.713.715.27.29.9
15.4316.6
42.09.2
17.1
138.529.5
( 2 )2 )
( 2 )( 2 )
546.024.215.79.5
36.515.314.859.1
152.515.315.09.3
16.4
51.18.68.9
181.08.52.82.17.09.22.9
142.82.2
8.5
Information
June2004
30.6.8
2.67.1
.818.1
6.43.2
100.8( 2 )
2 )( 2 )( 2 )( 2 )
11.32.7
15.8( 2 )
92.9( 2 )( 2 )<2>( 2 )( 2 )( 2 )
75.73.0
< 2 )( 2 )
12.03.2
( 2 )( 2 )( 2 )( 2 )
50.02.11.21,12.41.11.58.0
18.61.6
.6
.3
.9
4.3.6
1.0
23.6( 2 )( 2 )( 2 )
.5
.5( 2 )
21.5( 2 )
.9
May2005
31.1.7
2.57.7
.918.4
6.33.2
100.0( 2 )( 2 )( 2 )( 2 )( 2 )
11.62.5
14.5( 2 )
91.9( 2 )( 2 )( 2 )( 2 )( 2 )( 2 )
74.72.8
( 2 )( 2 )
12.03.1
( 2 )( 2 )( 2 )( 2 )
50.82.11.21.12.41.11.58.0
18.31.6
.6
.3
.8
4.3.6
1.0
23.1( 2 )( 2 )( 2 )
.5
.5( 2 )
20.4( 2 )
.9
June2005P
31.4.7
2.67.8
.918.6
6.33.2
100.7( 2 )( 2 )( 2 )( 2 )( 2 )
11.52.5
14.6( 2 )
94.0( 2 )( 2 )( 2 )( 2 )( 2 )( 2 )
76.92.8
( 2 )( 2 )
12.13.3
( 2 )( 2 )( 2 )( 2 )
50.62.11.21.12.41.11.58.0
18.21.6
.6
.3
.8
4.4.6
1.1
23.6< 2 )( 2 )( 2 )
.6
.5( 2 )
20.9( 2 )
.9
UtahLogOgden-ClearfieldProvo-OremSt. GeorgeSalt Lake City
VermontBurlington-South Burlington
VirginiaBlacksburg-Christiansburg-Radford ...ChartottesvilleDanville .....Harrisonburg .....LynchburgRichmondRoanokeVirginia Beach-Norfolk-Newport NewsWinchester
^nfasiiincrton I M ,H,I.,O«I
BellinghamBremerton-SilverdaleKennewick-Richland-PascoLongviewMount Vemon-AnacortesOlympiaSeattle-Tacoma-BellevueSpokaneWenatcheeYakima
West VirginiaCharlestonHuntington-AshlandMorgantownParkersburg-MariettaWheeling
WisconsinAppletonEau ClaireFond du LacGreen BayJanesvilleLa Crosse „ ,MadisonMilwaukee-Waukesha-West AflisOshkosh-NeenahRacineSheboyganWausau ,
WyomingCasperCheyenne
Puerto RicoAguadilla-fsabela-San SebastianFajardoGuayamaMayaguezPonceSan German-Cabo RojoSan Juan-Caguas-GuaynaboYauco
Virgin islands
See footnotes at end of table.
115Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Financial activities
June2004
64.81.38.16.21.8
44.4
13.45.5
191.3
( 2 )
* 2 *
( 2 )47.49.3
40.4( 2 )
152.63.0
( 2 )3.4
( 2 *
3.9103.712.7
( 2 )( 2 )
30.88.3
( 2 )( 2 J
( 2 )
159.76.93.91.8
11.12.03.2
28.158.03.92.62.45.0
10.71.92.0
46.31.5
2.61.7
37.9
2.6
May2005
66.11.38.26.22.0
45.8
13.65.4
193.3
( 2 )( 2 J
( 2 )48.19.7
39.6(2 )
152.73.0
(2 )3.5
( 2 J
3.8103.7
12.7( 2 )( 2 )
30.08.2
( 2 )
2
( 2 )
158.16.53.61.8
10.92.03.2
28.056.33.82.62.35.0
10.81.92.0
46.51.6
2.71.9
38.1
2.6
June2005P
66.41.48.26.22.0
45.6
13.85.6
195.4
( 2 )
* 2
( 2 )48.1
9.640.6
( 2 )
154.03.1
( 2 )3.5
( | )
3.9104.4
12.8( 2 )( 2 )
30.28.3
( 2 )( 2 )
( 2 )
159.76.53.71.8
11.12.13.3
28.256.9
3.92.62.45.1
10.92.02.0
46.81.6
2.71.9
38.3
2.6
Professional and business services
June2004
139.67.1
18.620.4
3.385.2
21.710.1
579.7
9.7( 2 )
8.987.819.9
100.8( 2 )
303.56.27.5
21.11.9
7.1203.721.0
<2>4.5
58.213.8
( 2 )4.9
( 2 )
255.811.67.52.8
14.85.36.5
32.6107.1
10.26.53.54.2
16.23.13.4
104.3/ 2 \
/ 2 \4.8
( 2 J
90.1
3.4
May2005
145.57.3
19.520.5
3.587.8
21.910.3
585.2
10.1
8.886.920.5
100.4( 2 )
312.35.97.4
20.11.9
7.6213.522.0
( 2 )4.3
58.113.8
( 2 )4.9
( 2 )
251.310.87.62.8
14.45.56.4
35.0111.011.06.53.44.1
15.92.93.2
101.2| 2 \
\)3.1
( 2 *
88.4
3.4
June2005P
147.07.2
19.820.8
3.588.5
22.510.4
594.4
10.2( 2 )
3.988.620.8
101.3( 2 )
316.06.07.4
20.11.9
7.6215.8
22.2( 2 )
4.4
59.114.0
( 2 )4.9
<2>
258.411.27.72.8
14.85.66.6
35.8113.0
10.96.63.54.2
16.83.13.3
100.8
( 2 )
3.5( 2 )
, 8 7 - 3
3.4
Education and health services
June2004
120.74.3
18.431.35.9
52.9
53.117.8
381.6
( 2 )6.6
( 2 )65.721.981.18.2
320.0( 2 )\ )
8.95.0
( 2 )176.732.5
5.212.3
109.920.520.410.8
13.4
375.511.712.76.2
20.69.0
13.633.7
130.510.210.36.97.5
21.54.53.2
95.2
( 2 )
4.29.6
67.5
2.2
May2005
124.64.5
18.932.36.2
54.7
54.518.4
389.8
( 2 )7.0
( 2 )68.222.883.5
8.4
330.8( 2 )( 2 )
9.14.9
( 2 )183.734.1
5.312.6
111.521.120.910.8
13.4
384.211.913.16.9
20.79.1
14.034.9
134.510.410.47.07.7
22.04.73.3
102.4
4.510.3
72.5
2.2
June2005P
124.54.5
18.932.26.2
54.8
53.917.9
388.4
( 2 )7.0
( 2 )68.222.783.28.5
328.3( 2 )( 2 )
9.24.9
( 2 )182.333.35.3
12.6
110.921.121.110.9
13.4
379.611.913.06.7
20.58.9
14.035.0
133.910.410.47.07.6
22.14.73.3
97.2
( 2 )
4.210.2
68.7
2.2
UtahLoganOgden-ClearfieldProvo-OremSt. GeorgeSalt Lake City
VermontBurlington-South Burlington
VirginiaBlacksburg-Christiansburg-Radford ...CharlottesvilleDanvilleHarrisonburgLynchburgRichmondRoanokeVirginia Beach-Norfolk-Newport NewsWinchester
WashingtonBellinghamBremerton-SilverdaleKennewick-Richland-PascoLongviewMount Vernon-AnacortesOlympiaSeattle-Tacoma-BellevueSpokaneWenatcheeYakima
West VirginiaCharlestonHuntington-AshlandMorgantownParkersburg-MariettaWheeling
WisconsinAppletonEau ClaireFond du LacGreen BayJanesvilleLa CrosseMadisonMilwaukee-Waukesha-WestAJlisOshkosh-NeenahRacineSheboyganWausau
Wyoming ,CasperCheyenne
Puerto RicoAguadilla-lsabela-San SebastianFajardoGuayamaMayaguezPonceSan German-Cabo RojoSan Juan-Caguas-GuaynaboYauco
Virgin Islands
See footnotes at end of table.
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ESTABLISHMENT DATASTATE AND AREA EMPLOYMENTNOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
State and area
Leisure and hospitality
June2004
103.83.7
17.313.16.0
49.7
33.311.3
340.5( 2 )
10.63.6
( 2 )8.1
52.013.586.0
( 2 )
263.89.07.97.73.55.07.4
152.718.65.36.5
70.712.510.95.0
( 2 )( 2 )
265.810.97.74.7
15.36.57.5
29.769.46.77.05.25.2
35.93.74.5
71.72.62.6
( 2 )2.73.3
( 2 )55.5
( 2 )
7.3
May2005
103.33.7
16.813.56.1
49.S
30.410.5
328.6( 2 )
10.53.5
( 2 )8.3
52.113.881.5
( 2 )
261.69.17.97.83.45.17.8
151.018.45.116.7
70.412.411.05.4
( 2 )( 2 )
261.111.57.34.7
14.86.27.3
28.768.1
6.66.84.85.0
31.53.84.5
69.52.52.7
( 2 )2.93.1
( 2 )53.0
( 2 )
7.0
June2005P
106.93.8
17.513.86.2
51.0II
33.611.4
341.7( 2 )
10.93.7
( 2 )8.3
53.414.185.3
( 2 )
268.29.38.17.93.55.37.9
155.318.75.56.7
71.512.511.35.4
( 2 )( 2 )
271.411.87.44.8
15.06.37.4
30.269.46.66.65.25.1
36.83.94.6
69.62.62.6
( 2 )2.93.1
( 2 )53.1
( 2 )
6.9
(
June2004
33.21.15.64.21.2
18.3
10.43.8
181.3( 2 )( 2 )( 2 )( 2 )( 2 )
30.27.6
34.4( 2 )
101.7( 2 )
( 2 )
( 2 )( 2 )
61.99.0
( 2 )( 2 )
55.911.9
( 2 )( 2 )( 2 \
( 2 )
136.96.03.73.07.03.03.4
17.242.04.64.73.23.2
9.91.71.7
21.3( 2 )( 2 )( 2 )( /i2\
( 2 )18.5
( 2 )
1.8
Dther services
May2005
33.61.15.74.11.3
18.8
10.33.7
182.3( 2 )( 2 )( 2 )( 2 )( 2 )
31.17.5
34.6( 2 )
102.2( 2 )( 2 )( 2 )( 2 )( 2 )( 2 )
62.28.9
( 2 )( 2 )
56.212.1
( 2 )( 2 )( 2 \
( 2 )
135.55.83.72.97.22.93.4
17.441.4
4.44.63.03.1
9.91.71.7
22.6( 2 )
( 2 )/ 2 \/ 2 \
( 2 )20.3
( 2 )
1.9
June2005P
34.01.15.74.31.3
18.8
10.43.7
184.3
( 2 )
( 2 )
31.87.7
35.0( 2 )
103.4( 2 \
( 2 )
< 2 )
( 2 )62.8
9.0( 2 )( 2 )
55.912.1
( 2 )( 2 )( 2 )( 2 )
137.25.93.72.97.22.93.4
17.241.3
4.44.73.13.2
10.11.81.8
22.7( 2 )( 2 )( 2 )( 2 )( 2 )( 2 )
20.5( 2 )
1.9
Government
June2004
200.411.743.823.7
5.789.6
51.118.3
654.519.227.6
6.79.4
14.4112.621.1
152.97.1
534.215.928.416.06.1
10.336.5
256.235.5
8.917.2
143.328.419.714.010.910.2
414.611.611.36.0
21.48.7
10.978.193.512.610.66.77.9
66.45.8
12.6
320.516.75.37.0
14.021.9
6.0229.9
6.5
12.2
May2005
205.112.043.925.0
6.191.3
55.320.1
659.020.127.9
6.59.6
14.4116.420.4
152.67.3
535.316.628.416.46.3
11.036.8
257.634.4
8.817.4
146.128.520.116.910.610.4
423.611.612.66.0
21.38.9
11.380.892.813.110.16.68.2
66.95.8
12.7
305.717.76.06.6
13.120.6
6.1219.5
7.3
12.2
June2005P
204.112.243.924.3
6.091.5
51.818.0
658.218.627.8
6.59.4
14.3115.620.5
153.17.0
536.016.328.616.56.4
11.137.2
258.834.49.1
17.5
143.428.519.314.510.210.2
416.211.711.36.0
21.48.8
10.479.893.013.110.36.87.9
66.35.6
12.8
306.017.66.16.6
12.820.3
6.2220.4
7,3
12.0
UtahLoganOgden-ClearfieldProvo-OremSt. GeorgeSalt Lake City
VermontBurlington-South Burlington
VirginiaBlackshurg-Christiansburg-Radford ...CharlottesvilleDanvilleHanisonburgLynchburgRichmondRoanokeVirginia Beach-Norfolk-Newport NewsWinchester
WashingtonBeliinghamBremerton-SilverdaleKennewick-Richtend-PascoLongviewMount Vemon-AnacortesOiympiaSeattle-Tacoma-BellevueSpokaneWenatcheeYakima
West VirginiaCharlestonHuntington-AshlandMorgantownParkersburg-MariettaWheeling
WisconsinAppletonEau Clair©Fond du LacGreen Bay .JanesvilleLa CrosseMadison..Milwaukee-Waukesha-WestAllisOshkosh-NeenahRacineSheboyganWausau
WyomingCasperCheyenne
Puerto Rie©Aguadiila-§sabela-San SebastianFajardoGuayamaMayaguezPonce ,San German-Cabo RojoSan Juan-Caguas-GuaynaboYauco
Virgin islands .,
1 Natural resources and mining is combined with construction.2 Data not available.3 The total nonfarm and government employment data for Maryland have been
corrected from January 1990 through July 2004.4 Area boundaries do not reflect official OMB definitions.5 The total nonfarm and education and health services data for South Carolina have
been corrected from July 2004 through June 2005.P » preliminary.NOTE: Data are counts of Jobs by place of work. State and area data are currently
projected from 2004 benchmark levels. When more recent benchmark data are
introduced with the release of January 2006 estimates, unadjusted data from April 2004are subject to revision. Area definitions are based on Office of Management BudgetBulletin No. 04-03, dated February 18, 2004, and are available athttp://www.bls.gov/lau/Iausmsa.htm and in the May issue of Employment and Earnings.Areas in the six New England states are Metropolitan New Engiand City and Town Areas(NECTAs), while areas in other states are county-based. Some metropolitan areas lie intwo or more states. They are listed under the state that appears first in their titles.Davenport-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W. Va.-Ohio, are theexceptions in that they are listed under Illinois and Ohio, respectively, for operationalreasons.
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division
(Numbers in thousands)
State, area, and division
Total
June2004
14,600.95,471.14,002.81,468.31,969.21,028.3
940.9
676.92,876.7
563.72,313.0
7,458.02,290.7
724.11,026.4
540.2
5,872.84,461.53,793.1
275.7393.0
3,223.12,421.21,650.5
90.5152.177.3
117.9102.7131.5
4,445.22,080.5
84£71,237.8
8,532.68,363.61,026.91,256.35,039.11,041.4
5,690.22,766.1
538.11,878.8
349.4
9,503.62,700.01,906.2
793.8
2,729.31,601.81,345.5
256.3
May2005
14,777.85,516.94,033.61,483.31,977.61,031.7
945.9
680.12,932.5
567.82,364.7
7,744.62,350.6
743.81,042.4
564.4
5,872.74,458.03,787.6
278.2392.2
, 3,217.92,425.81,655.3
89.9152.077.1
119.0102.2131.2
4,422.22,065.7
839.41,226.3
8,560.38,367.91,021.71,253.25,068.81,024.2
5,737.32,787.1
545.91,887.6
353.6
9,622.72,736.01,932.1
803.9
2,761.41,630.41,369.3
261.1
June2005 P
14,835.45,526.84,040.11,486.71,983.31,036.1
947.2
682.92,955.1
573.82,381.3
7,678.82,328.0
739.51,032.4
556.1
5,911.14,493.83,816.6
278.6398.6
3,243.32,438.81,664.4
90.9153.777.6
119.4103.5133.1
4,426.62,074.1
839.81,234.3
8,608.88,433.81,036.61,267.95,096.61,032.7
5,746.32,800.1
551.61,893.1
355.4
9,623.02,739.41,935.1
804.3
2,786.91,646.31,383.8
262.5
Natural resources and mining
June2004
May2005
June2005 P
California ,Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-GlendaleSanta Ana-Anaheim-Irvine •„ ,
San Francisco-OaWand-FremontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City
District of ColumbiaWashington-Arlington-Alexandria 2
Bethesda-Frederick-Garthersburg 3
Washington-Arlington-Alexandria 2
FloridaMiami-Fort Lauderdale-Miaml Beach
Fort Lauderdaie-Pompano Beach-Deerfield BeachMiami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach
IllinoisChicago-Naperville-Joliet2 .....:..
Chicago-Naperville-JolietGary®Lake County-Kenosha County 2
MassachusettsBoston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonF r s r n i o Q i i f l r n •••»*»••••••«•••«•«•«••>•••••*•••••«••«••••«••••«••••••••••
Havemill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsford 2 :Lynn-Peabody-Salem ;Nashua2
MichiganDetroit-Warren-Livonia
Detroit-Uvonia-DearbomWarren-Farmington Hiils-Troy
New YorkNew York-Northern New Jersey-Long Island2
Edison3
Nassau-SuffolkNew York-Wayne-White Plains 2. '. ".Newark-Union3
PennsylvaniaPhiladelphia-Camden-Wilmington 2
Camden3 ;Philadelphia «.-.Wilmington3
TexasDallas-Fort Worth-Arlington
Dallas-Plano-lrvingFort Worth-Arlington
WashingtonSeattle-Tacoma-Bellevue
Seattle-Bellevue-EverettTacoma
See footnotes at end of table.
23.34.43.8
.6141.2.2
< )O(1)
7.1.6
9.6
1.7
.2
2.01.3.9
(!)< >( )O(1)
8.4
O0)
6.0( ] )< >( )<«>( 1 )
19.2
<i>153.7
(])0)
9.01.71.3.4
22.64.74.1.6
1.41.2.2
(!)< >0)
6.7.5
4
9.2
1.7
.2
2.01.21.0
( ' )( ' )#1 \
8.8
6.2(J)( )( )0)
18.5
0)( )0)155.9
(])O0)
8.91.61.2.4
23.24.84.2
.61.41.2.2
(J )< >( )( 1 )
6.6.5
9.4
1.7
.2
2.11.21.0
/I \/ 1 \/ 1 \
0)8.9
6.3
18.9(!)< >( )(1)
156.4
OV)
9.11.61.2.4
118
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
State, area, and division
Construction
June2004
May2005
June2005 P
Manufacturing
June2004
May2005
June2005 P
CaliforniaLos Angeles-Long Beach-Santa AnaLos Angeles-Long Beach-GlendaleSanta Ana-Anaheim-Irvine ......
San Francisco-Oakland-FremontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City .
District of ColumbiaWashington-Arlington-Aiexandria 2 ....
Bethesda-Frederick-Gaithersburg3 .Washington-Ariington-Alexandria2 ..
Florida „.Miami-Fort Lauderdate-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach.,Miami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach
IllinoisChicago-Naperville-Joliet2
Chicago-Naperville-Joliet..Gary 3
Lake County-Kenosha County 2 .
MassachusettsBoston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFraminghamHaverhill-North Andover-Amesbury 2 .Lowell-Billerica-Chelmsford 2
Lynn-Peabody-SalemNashua 2 ............;
Michigan..Detroit-Warren-LivoniaDetroit-Uvonia-DearbomWarren-Farmington Hills-Troy .
New YorkNew York-Northern New Jersey-Long Island 2
Edison3
Nassau-Suffolk ,New York-Wayne-White Plains 2
Newark-Union 3
Pennsylvania ,Philadelphia-Camden-Wilmington2 .Camden 3
Philadelphia..Wilmington 3
Dallas-Fort Worth-Arlington .Dallas-Plano-lrvingFort Worth-Arlington
WashingtonSeattle-Tacoma-Bellevue ..
Seattie-Believue-Everett..Tacoma
356.2232.7140.792.0
112.569.243.3
12.3180.041.3
138.8
493.9127.648.441.837.4
281.7222.4180.6
19.220.8
146.2106.066.6
5.27.75.57.53.96.2
204.090.927.263.7
331.7338.847.767.8
180.342.9
260.2127.026.179.921.1
548.4158.8107.351.5
166.596.376.819.5
888.4238.8144.993.9
114.771.143.6
12.3184.841.1
143.7
515.4132.450.942.439.1
272.6218.1176.1
19.420.7
144.9103.765.2
5.07.75.67.53.86.1
193.490.428.162.3
327.2337.249.266.9
179.042.1
259.5126.926.030.320.6
551.5159.4107.452.0
171.398.878.420.4
911.4242.5146.895.7
117.873.144.7
12.7187.541.7
145.8
522.4133.451.043.039.4
282.2224.4181.020.021.5
149.4107.367.6
5.37.85.87.63.86.3
202.394.529.764.8
337.2345.4
50.568.5
182.843.6
267.1129.926.681.921.4
556.4160.4108.352.1
175.8100.879.721.1
1,537.9673.1489.1184.0144.399.644.7
2.466.422.144.3
391.5101.630.651.119.9
703.0504.6404.2
38.162.4
316.3232.9115.5
8.424.711.520.312.826.5
701.9298.3109.5188.8
603.0505.283.088.5
239.694.1
238.847.0
165.226.6
893.0295.3197.398.0
264.6163.9144.8
19.1
1,532.5663.5479.0184.5144.099.244.8
2.565.821.444.4
392.099.930.550.319.1
691.8497.9398.537.961.5
312.3231.8114.6
8.224.411.420.612.725.9
682.7293.8111.7182.1
581.2486.4
82.538.1
226.2
683.4230.2
45.9159.025.3
888.0294.8196.398.5
266.8169.7150.619.1
1,539.6665.1479.9185.2144.799.844.9
2.566.421.644.8
394.7100.131.049.919.2
696.3499.2399.3
38.461.5
314.0233.1115.1
8.324.711.320.712.826.2
677.8291.5108.6182.9
583.6488.6
82.288.5
227.890.1
688.0229.5
46.0159.723.8
295.5196.898.7
171.0151.8
19.2
See footnotes at md of table.
119
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
State, area, and division
Trade, transportation, and utilities
June2004
2,747.21,042.7
778.2264.5357.4192.8164.6
28.3401.7
83.3318.4
1,490.5510.7159.9250.4100.4
1,184.8911.4767.9
59.484.1
578.7426.3258.0
21.530.415.821.722.330.4
817.9385.8161.0224.8
1,493.71,589.6
229.0273.9867.8219.0
1,122.4531.9123.4342.8
65.7
1,937.0589.0399.7189.3
520.5309.3260.349.0
May2005
2,749.11,044.0
778.2265.8354.9191.1163.8
27.9405.681.8
323.8
1,523.4515.9162.3250.6103.0
1,181.2908.6763.159.586.0
573.0423.2257.121.629.916.021.122.431.0
811.0381.5158.5223.0
1,486.91,578.1
225.3270.7866.1216.0
1,126.6538.0124.4345.168.5
1,951.9591.0402.7188.3
527.6313.9263.750.2
June2005 P
2,763.81,049.0
781.3267.7356.3192.3164.0
28.1410.5
82.3328.2
1,525.7518.6163.1252.6102.9
1,188.7915.3768.7
60.086.6
580.9428.6260.0
21.730.316.121.222.731.4
818.3383.3159.8223.5
1,502.71,591.9
228.6275.0871.1217.2
1,130.9541.6125.9347.2
68.5
1,960.8592.5403.7188.8
532.2316.6266.1
50.5
Information
June2004
475.9238.6204.9
33.775.431.444.0
24.3108.9
17.591.4
167.858.119.827.410.9
121.995.787.72.55.5
87.373.352.61.26.81.15.71.62.0
69.136.715.920.8
270.3290.7
32.129.1
202.027.6
113.556.57.9
42.46.3
227.494.676.917.7
92.975.772.6
3.1
May2005
491.4249.4216.6
32.873.630.643.0
23.3107.617.590.1
168.758.619.028.511.1
117.092.484.52.45.5
84.270.951.2
1.16.91.05.61.52.0
65.235.814.821.0
271.2288.2
32.328.8
202.025.1
110.054.97.7
41.26.0
227.993.576.117.4
91.974.771.73.0
June2005 P
495.4253.1220.8
32.373.530.543.0
23.6108.1
17.690.5
168.158.519.128.311.1
117.092.584.6
2.45.5
84.971.051.3
1.16.91.05.61.52.0
65.535.814.721.1
271.1289.6
32.128.8
203.325.4
110.855.3
7.841.6
5.9
229.493.576.217.3
94.076.973.9
3.0
CaliforniaLos Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-GlendaleSanta Ana-Anaheim-Irvine
San Francisco-Oakland-FrernontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City
District of ColumbiaWashington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
FloridaMiami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield BeachMiami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach .....
IllinoisChicago-Naperville-Joliet2
Chicago-Naperville-JolietGary®Lake County-Kenosha County 2
MassachusettsBoston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFraminghamHaverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-SalemNashua2
MichiganDetroit-Warren-Livonia
Detroit-Livonia-DearbomWarren-Farmington Hills-Troy
New YorkNew York-Northern New Jersey-Long Island 2
Edison3
Nassau-SuffolkNew York-Wayne-White Plains 2
Newark-Union 3
PennsylvaniaPhiladelphia-Camden-Wilmington 2
Camden3
PhiladelphiaWilmington3
TexasDallas-Fort Worth-Arlington
Dallas-Plano-lrvingFort Worth-Arlington
WashingtonSeattle-Tacoma-Bellevue
Seattle-Bellevue-EverettTacoma
See footnotes at end of table.
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
State, area, and division
Financial activities
June2004
900.7374.1243.0131.1154.767.187.6
31.3158.542.8
115.8
504.3170.062.169.138.8
402.7327.0294.8
10.122.2
222.2184.8153.0
3.44.83.04.35.08.1
220.5119.337.881.5
704.3772.6
63.584.2
543.481.6
339.4221.0
36.4145.639.0
596.1214.6169.445.2
152.6103.789.714.0
May2005
917.7377.8245.4132.4159.870.089.8
31.2160.443.8
116.6
513.1171.062.568.839.7
401.1325.5292.3
10.223.0
218.9182.2151.7
3.24.73.04.34.98.1
218.9117.937.880.1
705.3776.4
63.684.1
547.781.0
336.5218.5
36.4144.337.8
601.3216.5170.645.9
152.7103.789.813.9
June2005 P
920.7378.6245.9132.7160.470.689.8
31.6162.244.3
117.9
516.7172.163.069.639.5
405.7329.3295.5
10.423.4
221.8184.7153.6
3.24.83.14.35.08.3
221.0119.438.081.4
715.1786.7
64.084.8
556.281.7
339.2220.3
36.7145.138.5
604.5217.4171.446.0
154.0104.490.414.0
Professional and business services
June2004
2,093.1819.8560.6259.2323.3147.8175.5
146.6619.4115.7503.7
1,302.0381.1114.8155.6110.7
809.6690.1611.222.956.1
456.7378.9286.6
8.627.9
6.416.010.212.9
595.2364.1126.4237.7
1,068.51,237.4
165.6158.3749.3164.3
640.6405.8
70.4277.9
57.6
1,095.1367.8284.1
83.7
303.5203.7182.021.7
May2005
2,137.8838.3568.7269.6320.8146.0174.8
146.4638.3120.2518.1
1,354.8398.9121.8159.7117.4
820.5702.6623.0
23.456.2
460.6380.8286.8
8.828.5
6.316.210.013.2
577.0357.2124.4232.8
1,073.61,230.8
161.2159.6751.5158.5
650.7412.1
73.1279.8
59.2
1,102.1377.7291.2
86.5
312.3213.5190.223.3
June2005 P
2,152.5840.1569.3270.8323.0147.0176.0
149.0646.0121.2524.8
1,370.8401.7121.9162.3117.5
832.1712.7631.223.657.9
466.8384.9290.6
9.028.9
6.416.510.113.3
589.4362.1125.7236.4
1,089.61,246.5
162.7162.3760.9160.6
657.1416.4
73.6282.6
60.2
1,110.2379.8292.8
87.0
316.0215.8192.423.4
CaliforniaLos Angeles-Long Beach-Santa Ana ,Los Angeles-Long Beach-GlendaleSanta Ana-Anaheim-Irvine
San Francisco-Oakland-FremontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City
District of ColumbiaWashington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
FloridaMiami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield BeachMiami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach .....
IllinoisChicago-Naperville-Joliet2
Chicago-Naperville-JolietGary®Lake County-Kenosha County 2
Massachusetts..Boston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFrsUTlinQrtCMTI .«•<•••••••••«•• > I . I . . . . I< M > I <I< iHaverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsforel2
Lynn-Peabody-SalemNashua2
MichiganDetrort-Warren-Livonia
Detroit-Livonia-DearbomWarren-Farmington Hills-Troy
New YorkNew York-Northern New Jersey-Long Island 2
Edison3
Nassau-SuffolkNew York-Wayne-Whfte Plains2
Newark-Union 3
PennsylvaniaPhiladelphia-Camden-Wilmington 2
Camden 3
Philadelphia...Wilmington3
TexasDallas-Fort Worth-Arlington
Dallas-Plano-lrvingFort Worth-Arlington
Vv*tSillllQlOH ,„.„„„„ „„„„(,, „„„ ,,o.....a.. •«•!•Seattle-Tacoma-BellevueSeattle-Bellevue-EverettTacoma..
See footnotes at end of table.
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
State, area, and division
Education and health services
June2004
May2005
June2005 P
Leisure and hospitality
June2004
May2005
June2005 P
CaliforniaLos Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-GiendaleSanta Ana-Anaheim-Irvine
San Francisco-Oakland-FremontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City .
District of ColumbiaWashington-Arfington-Atexandria 2
Bethesda-Frederick-Gaithersburg3 ....Washington-Ariington-Alexandria2
FloridaMiami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach.Miami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach
Illinois ;Chicago-Naperville-Joliet2.Chicago-Napen/ille-Joliet..Gary 3Lake County-Kenosha County 2 ...
Massachusetts .Boston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFraminghamHavemill-NorthAndover-Amesbury2 .Lowell-Billerica-Chelmsford 2
Lynn-Peabody-SalemNashua 2
MichiganDetroit-Warren-Uvonia
Detroft-Uvonia-DearbornWarren-Farmington Hills-Troy
New YorkNew York-Northern New Jersey-Long Island 2
Edison3
Nassau-SuffolkNew York-Wayne-White Plains 2
Newark-Union 3 ;
PennsylvaniaPhiladelphia-Camden-Wilmington 2 .Camden 3
PhiladelphiaWilmington 3
TexasDallas-Fort Worth-Arlington .
Dallas-Plano-lrvingFort Worth-Arlington
WashingtonSeattle-Tacoma-Beflevue .
Seattle-Bellevue-Everett.Tacoma
1,559.6593.1461.7131.4216.9117.999.0
89.3299.4
68.3231.1
914.4291.5
83.4133.574.6
726.0543.9465.5
38.839.7
568.5420.3315.0
13.818.312.212.517.615.4
552.5255.8114.3141.5
1,500.01,354.0
129.8195.0890.6138.6
981.3483.5
73.9367.342.3
1,136.9271.8187.884.0
320.0176.7139.637.1
1,597.5608.5477.1131.4224.9123.0101.9
92.6311.169.6
241.5
947.8300.286.4
136.577.3
735.2551.6472.3
39.639.7
586.6436.6326.6
13.918.812.512.718.115.4
558.4258.5115.5143.0
1,555.91,392.4
134.8200.3917.7139.6
1,016.4499.276.9
379.243.1
1,171.5278.0191.486.6
330.8183.7144.938.8
1,580.9599.8468.7131.1222.1122.599.6
88.6306.3
70.1236.2
947.9299.5
87.0135.776.8
733.5548.7470.4
39.039.3
574.0426.1318.0
14.018.912.412.718.215.5
557.8258.5115.3143.2
1,529.31,383.3
135.8198.4909.9139.2
1,003.1493.5
77.5373.3
42.7
1,166.7276.5190.685.9
328.3182.3144.637.7
1,465.2544.9377.2167.7197.481.9
115.5
52.1252.449.5
203.0
858.4238.7
76.297.864.7
528.5401.1332.0
31.837.4
311.4217.4147.6
8.411.88.2
10.010.811.1
426.6190.281.8
108.4
695.2635.6
85.5105.1377.6
67.4
504.5220.5
42.2149.129.3
912.1257.0175.881.2
263.8152.7127.125.6
1,488.7548.5382.7165.8200.1
83.0117.1
54.9257.6
47.9209.7
892.4251.2
78.7104.667.9
533.6400.7332.7
31.936.1
303.8216.3145.9
8.311.67.7
10.310.110.3
420.2187.379.7
107.6
633.281.2
100.8385.5
65.7
501.2219.742.1
148.229.4
912.7256.5176.779.8
261.6151.0126.025.0
1,502.2551.3384.9166.4202.2
83.8118.4
54.9266.6
50.4216.2
892.2249.7
78.5104.8
543.1410.0339.4
32.338.3
317.7222.1150.6
8.511.88.0
10.410.610.8
431.3190.680.1
110.5
712.0655.1
87.8107.6392.0
67.7
517.4227.0
44.1151.931.0
925.6258.8178.180.7
268.2155.3129.525.8
See footnotes at end of table.
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ESTABLISHMENT DATANOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metrcipolitan area, and metropolitan division—Continued
(Numbers in thousands)
State, area, and division
Other services
June2004
May2005
June2005 P
Government
June2004
May2005
June2005 P
CaliforniaLos Angeles-Long Beach-Santa Ana ..........
Los Angeles-Long Beach-GiendaleSanta Ana-Anaheim-ln/ine
San Francisco-QaWand-FremontOakland-Fremont-HaywardSan Francisco-San Mateo-Redwood City .
District of ColumbiaWashington-Arlington-Aiexandria 2 ...
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria2 .
FloridaMiami-Fort Lauderdale-Miami BeachFort Lauderdale-Pompano Beach-Deerfield Beach .Miami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach
SHinoisChicago-Naperville-Joliet2 .Chicago-Naperville-Joliet..Gary 3Lake County-Kenosha County 2 .
MassachusettsBoston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFramingham ...Haverhill-North Andover-Amesbury2 .Lowell-Billerica-Chelmsford 2
Lynn-Peabody-SalemNashua 2
MichiganDetroit-Warren-Uvonia
Detroit-Livonia-DearbomWarren-Farmington Hills-Troy .
New YorkNew York-Northern New Jersey-Long Island 2
Edison3............Nassau-SuffolkNew York-Wayne-White Plains 2
Newark-Union s ,
PennsylvaniaPhiladelphia-Camden-Wilmington 2 ,Camden 3
PhiladelphiaWilmington 3 ...,
TexasDallas-Fort Worth-Arlington .Dallas-Piano-lrving ............Fort Worth-Arlington
WashingtonSeattle-Tacoma-Bellevue .
Seattle-Believue-Everett.Tacoma .....
508.8194.8146.448.474.337.536.8
59.4166.029.6
136.4
323.398.829.944.724.2
263.7198.9172.8
12.513.7
118.986.559.04.24.92.64.13.94.5
180.7100.045.454.6
355.5349.540.951.8
211.845.0
267.3123.523.085.814.8
366.5108.775.832.9
101.761.949.812.1
513.4195.2147.048.273.837.036.8
60.4169.830.3
139.5
328.199.129.945.224.0
257.3196.0170.3
12.513.2
116.386.258.44.24.92.54.03.94.4
180.496.342.254.1
358.4351.039.651.6
214.645.2
267.4123.823.286.014.6
368.1108.574.933.6
102.262.250.012.2
515.6196.0147.648.474.237.237.0
61.1171.731.0
140.7
329.599.230.345.023.9
262.7198.2172.3
12.613.3
117.686.358.64.24.92.54.13.94.4
182.797.942.955.0
360.2352.840.152.1
214.945.7
270.5125.123.287.014.9
371.3109.475.633.8
103.462.850.512.3
2,433.0752.9597.2155.7311.6181.9129.7
230.9623.693.6
530.1
1,004.8312.098.9
154.558.6
841.3565.8474.7
40.450.9
414.9293.5195.715.814.811.015.814.614.4
668.4239.4123.4116.0
1,504.41,289.6
149.8202.6776.3160.9
745.2357.2
87.8222.846.7
1,637.4342.4232.1110.3
534.2256.2201.5
54.7
2,438.7748.2589.9158.3309.6179.5130.1
228.6631.5
94.2537.3
1,102.2322.9101.7155.465.8
853.2564.6473.1
41.450.1
415.3292.9196.8
15.614.611.116.714.814.8
706.2247.0126.7120.3
1,506.21,294.2
152.0202.3778.5161.4
767.1363.8
90.2224.5
49.1
1,691.8360.1244.8115.3
535.3257.6202.8
54.8
2,430.1746.5590.7155.8307.7178.1129.6
230.8629.893.6
536.2
1,004.2294.794.5
140.859.4
840.4563.5472.539.951.1
414.1293.5198.015.614.711.016.314.914.9
671.6240.5125.0115.5
1,501.71,293.9
152.8201.9777.7161.5
743.3361.5
90.2222.8
48.5
1,651.1355.6241.6114.0
536.0258.8203.7
55.1
1 Natural resources and mining is combined with construction.2 Part of the area is in one or more adjacent states.3 All of the area is in one or more adjacent states.4 Data not available.P = preliminary.NOTE: Data are counts of jobs by place of work. State and area data are currently
projected from 2004 benchmark levels. When more recent benchmark data areintroduced with the release of January 2006 estimates, unadjusted data from April 2004
are subject to revision. Area definitions are based on Office of Management and BudgetBulletin No. 04-03, dated February 18, 2004, and are available athttp://www.bls.gov/lau/lausmsa.htm and in the May issue of Employment and Earnings.Areas in the six New England states are Metropolitan New England City and TownAreas (NECTAs), while areas in other states are county-based. Some metropolitanareas lie in two or more states. They are listed under the state that appears first in theirtitles. Some divisions lie in more than one state, and some, like Camden, N.J., aretotally outside the states under which their metropolitan areas are listed.
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
Average overtime hours
June2004
July2004
May2005
June2005P 20u5P
Total private..
Goods-producing
Natural resources and mining..
Logging..
Mining..
Oil and gas extraction
Mining, except oil and gasCoalmining
Bituminous coal and lignite surface miningBituminous coal underground mining andanthracite mining
Metal ore miningNonmetallic mineral mining and quarrying
Stone mining and quarryingCrushed and broken limestone miningOther stone mining and quarrying
Sand, gravel, clay, and refractory miningConstruction sand and gravel mining
Other nonmetallic mineral mining
Support activities for mining.....Support activities for oil and gas operations
Construction..
Construction of buildingsResidential building
New single-family general contractors...Residential remodelers...
Noriresidential buildingIndustrial buildingCommercial building
Heavy and civil engineering constructionUtility system construction.....
Water and sewer system constructionOil and gas pipeline constructionPower and communication system construction..
Land subdivisionHighway, street, and bridge constructionOther heavy construction
Specialty trade contractorsBuilding foundation and exterior contractors..
Poured concrete structure contractorsSteel and precast concrete contractorsFraming contractorsMasonry contractorsGlass and glazing contractorsRoofing contractors
Building equipment contractorsElectrical contractorsPlumbing and HVAC contractorsOther building equipment contractors
Building finishing contractorsDrywall and insulation contractorsPainting and wall covering contractors..Flooring (Tile and Jerrazzo contractors...Finish carpentry contractorsOther building finishing contractors....
Other specialty trade contractorsSite preparation contractorsAll other specialty trade contractors...
Manufacturing
Durable goods
Wood productsSawmills and wood preservation..
1133
21
211
2122121212111
212112,32122212321231212312212311,3,92123221232121239
213213112
236236123611523611823622362123622
2372371237112371223713237223732379
23823812381123812238132381423815238162382238212382223829238323831238322383323834238352383923892389123899
3213211
33.7
40.2
44.5
38.6
45.4
42.4
46.047.148.1
46.345.645.445.242.548.446.346.942.6
46.147.5
38.5
37.836.736.636.639.238.939.2
42.542.743.743.340.739.842.741.8
37.935.338.537.231.933.438.635.039.139.139.038.636.735.436.935.939.039.336.440.940.841.141.041.5
41.242.5
33.9
40.0
44.5
39.2
45.3
41.6
46.146.845.9
47.544.646.045.843.348.747.147.942.6
46.046.9
39.1
38.036.836.836.539.539.339.6
44.544.344.645.043.438.745.842.7
38.335.939.137.631.834.638.336.139.039.139.038.637.135.537.438.841.038.536.442.041.742.4
40.3
40.6
40.842.3
33.9
40.1
46.0
39.0
46.8
44.5
46.948.147.1
49.044.346.747.648.246.946.146.144.9
47.749.8
38.9
38.236.837.235.940.039.840.1
43.543.343.645.741.539.644.442.9
38.236.539.140.233.234.836.935.539.139.038.940.836.136.135.935.936.735.638.241.442.040.8
40.4
40.9
40.041.8
33.8
40.2
45.8
40.0
46.5
43.6
47.148.247.0
49.343.247.348.548.348.746.646.844.5
47.049.2
39.2
38.036.536.736.039.839.639.8
44.443.644.244.242.438.146.143.1
38.537.039.240.133.635.337.837.239.139.039.338.236.736.536.537.037.236.039.241.841.841.9
40.5
41.0
40.241.8
33.8
39.6
45.4
38.8
39.8
40.2
39.6
4.6
4.8
4.66.1
4.4
4.4
4.46.0
4.3
4.4
4.26.2
4.5
4.5
4.16.0
4.3
4.3
See footnotes at end of table.
124
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsuper/iisory workers1 on private nonfarm payrolls by detaiiedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004 2004
June2005 P 20051
Average weekly earnings
June2004 2004
June2005P 2005P
Total private
S'HE^rOClUOl Wfl imuini I M I
Natural resources and mining
Logging
Mining
Oil and gas extraction
Mining, except oil and gasCoalmining
Bituminous coal and lignite surface miningBituminous coat underground mining andanthracite mining
Metal ore miningNonmetallic mineral mining and quarrying
Stone mining and quarryingCrushed and broken limestone miningOther stone mining and quarrying
Sand, gravel, clay, and refractory miningConstruction sand and gravel mining
Other nonmetallic mineral mining
Support activities for mining
Support activities for oil and gas operations....
l^Oyi&tftilCrlifOfi **i i imn* *-I.J.*<»*»*»*» »*>*»*>»»>• »»*•»*« a I I H I I M B I M M I | | | ) t | t | | l
Construction of buildingsResidential building
New single-family general contractors.Residential remodelers
Nonresioentiai DuiiaingIndustrial buildingCommercial building
Heavy and civil engineering constructionUtility system construction
Water and sewer system constructionOil and gas pipeline constructionPower and communication system construction
Land subdivisionHighway, street, and bridge construction
Specialty trade contractorsBuilding foundation and exterior contractors
Steel and precast concrete contractorsFraming contractors^ M a S O n r y O O f l t r S K M O r S i » i in i 11 n i i r - r - i - i i i r - n • i - i i H I r r I - T T r - - - T •
Glass and glazing contractors........>«..•••.•».«....«<«.<Roofing contractors.
Building equipment contractorsElectrical contractorsPlumbing and HVAC contractorsOther building equipment contractors
Building finishing contractorsDrywall and insulation contractorsPainting and wall covering contractorsFlooring contractorsIll© SirKj tQffSIZZO OOfttfSKjIwyS*mtm»MtMtutniuiMMiiiFinish carpentry contractorsOther building finishing contractors
Other specialty tracte contractorsSite preparation contractorsAll other specialty trade contractors
Manufacturing
Durable goods
VwOOCI fMPOCJJjKjliS*!.** *«••*»»• MiMiioiitiniiimiii iiiiniiinnirtiiiittiiu
Sawmills and wood preservation
See footnotes at end of table.
1133
21
211
2122121212111
212112,32122212321231212312212311,3,92123221232121239
213213112
236236123611523611823622362123622
2372371237112371223713237223732379
238238123811238122381323814238152381623822382123822238292383
23832238332383423835
238923891
3213211
$15.56
17.14
18.12
15.59
18.43
18.21
19.8321.6121.62
21.6123.3517.7016.2816.6315.9218.4318.9620.95
16.9915.65
19.12
18.4617.0916.8217.5319.9719.5120.12
19.2519.0719.5018.9818.4016.1319.9418.60
19.3018.2817.4724.6318.0118.5517.5217.3320.8321.4220.0022.9518.5220.5116.0819.4017.3618.2218.3717.8118.5117.08
16.08
16.73
12.9914.03
5115.59
17.18
18.02
15.36
18.36
17.94
19.6721.5421.86
21.2822.4817.6916.0616.7015.4118.5819.1321.23
17.1215.84
19.24
18.5917.2016.9317.63120.1019.0920.42
19.4319.2519.7218.9218.6816.6020.1518.38
19.4018.4517.6224.5218.0718.5417.9917.8620.9621.5420.1423.0318.5320.5516.2919.6017.8417.6617.9917.9618.6017.30
16.03
16.60
13.0414.15
$16.03
17.51
18.58
15.67
18.88
19.47
20.0821.8922.77
21.1522.2618.2517.4917.9416.9418.4918.9120.59
17.4716.12
19.30
19.0417.7417.7817.4320.5019.4420.85
19.1819.1719.6218.8718.6716.5119.5218.88
19.4118.3017.7722.7118.5118.4818.3716.9120.8921.6119.9522.9618.8120.7616.7018.8817.9218.0418.1218.0718.5617.57
16.50
17.24
13.2013.84
$15.97
17.56
18.60
15.77
18.90
19.66
19.9822.0022.55
21.5421.9518.0817.3818.1416.4718.3018.6820.39
17.5316.29
19.36
18.7717.3817.5416.7320.3419.2020.70
19.6019.2419.9718.2018.7316.7520.3418.93
19.4918.4617.8423.1418.6018.9018.0416.9821.0221.7520.1622.4418.6820.7116.4218.8218.3517.8818.0318.2918.8817.71
16.52
17.28
13.0513.79
$16.03
17.62
18.73
$524.37
19.54
16.49
17.20
13.10
806.34
601.77
836.72
772.10
912.181,017.831,039.92
1,000.541,064.76803.58735.86706.78770.53853.31889.22892.47
783.24743.38
736.12
697.79627.20615.61641.60782.82758.94788.70
818.13814.29852.15821.83748.88641.97851.44777.48
731.47645.28672.60916.24574.52619.57676.27606.55814.45837.52780.00885.87679.68726.05593.35696.46677.04716.05668.67728.43755.21701.99
659.28
694.30
535.19596.28
$528.50
687.20
801.89
602.11
831.71
746.30
906.791,008.071,003.37
1.010.801,002.61813.74735.55723.11750.47875.12916.33904.40
787.52742.90
752.28
706.42632.96623.02643.50793.95750.24808.63
864.64852.78879.51851.40810.71642.42922.87734.83
743.02662.36688.94921.95574.63641.48689.02644.75817.4484221785.46888.96687.46729.53609.25760.48731.44679.91654.84754.32775.62733.52
646.01
673.96
532.03598.55
$543.42
702.15
854.68
611.13
883.58
866.42
941.751,052.911,072.47
1,036.35986.12852.28832.52864.71794.49852.39871.75924.49
833.32802.78
750.77
727.33652.83661.42625.74820.00773.71836.09
834.33830.06855.43862.36774.81653.80
809.95
741.46667.95694.81912.94614.53643.10677.85600.31816.80842.79776.06936.77679.04749.44599.53677.79657.66642.22692.18748.10779.52716.86
666.60
705.12
528.00578.51
$539.79
705.91
851.88
630.80
878.85
857.18
941.061,060.401,059.85
1,061.92948.24855.1884293876.16802.09852.78874.22907.36
823.91801.47
758.91
713.26634.37643.72602.28809.53760.32823.86
870.24838.86882.67804.44794.15638.18937.67815.88
750.37683.02699.33927.91624.96667.17681.91631.66821.88848.25792.29857.21685.56755.92599.33696.34682.62643.68706.78764.52789.18742.05
669.06
708.48
524.61576.42
$541.81
697.75
850.34
758.15
656.30
691.44
518.76
125
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
May2005
June2005P 2005P
Average overtime hours
June2004
6.35.47.43.43.43.7
3.12.93.84.3
6.25.03.86.14.2
5.43.07.57.87.2
5.9
6.87.45.96.35.66.77.47.46.86.67.68.46.05.44.65.36.55.04.34.64.15.2
6.12.63.34.12.92.94.53.45.34.84.84.74.74.74.3
4.14.44.9
2004
5.74.87.53.33.23.4
3.12.73.94.5
6.54.83.65.94.0
5.42.68.49.07.6
5.9
6.47.35.65.65.66.57.47.47.25.86.56.95.84.84.35.06.54.74.24.63.94.8
6.02.23.34.12.73.15.12.83.94.64.64.74.84.53.2
3.13.34.5
200%
4.84.65.53.13.12.9
3.22.63.52.8
6.44.84.35.34.0
4.33.57.98.57.2
6.1
5.86.65.35.84.95.16.35.85.95.66.76.76.64.14.34.66.73.94.24.43.94.6
5.23.63.44.22.73.65.52.74.34.94.94.75.04.44.0
3.34.54.2
June2005P
5.24.07.22.93.03.2
2.81.43.63.5
6.74.94.45.44.3
4.53.88.69.96.9
5.5
5.96.15.56.54.85.36.76.36.45.86.97.55.74.3
4.54.96.44.54.34.54.14.9
5.14.93.64.63.02.96.23.24.64.54.45.05.44.54.0
3.44.54.4
2005P
Durable goods-ContinuedPlywood and engineered wood products
Hardwood and softwood veneer and plywood..Engineered wood members and trusses
Other wood productsMillwork
Wood windows and doorsCut stock, resawing lumber, planing, andother millwork, including flooring
Wood containers andAll other wood.
j and mobile homes.
Nonmetallic mineral productsClay products and refractories
Pottery, ceramics, and plumbing fixturesClay building material and refractories
Glass and glass productsFlat glass and other pressed and blown glassand glasswareGlass products made of purchased glass
Cement and concrete productsReady-mix concreteOther cement and concrete products
Lime, gypsum, and other nonmetallic mineralproducts
Primary metalsIron and steel mills and ferroalloy productionSteel products from purchased steel
Iron, steel pipe, and tube from purchase steel-Rolling and drawing of purchased steel
Alumina and aluminum productionOther nonferrous metal production..
Rolled, drawn, extruded, and alloyed copper~ and AL, shaping...Nonferrous metal, except CU
FoundriesFerrous meted foundries
Iron foundriesStesl foundries.
Nonferrous metal foundries...
Fabricated metal productsForging and stamping
Iron and steel forgingMetal stamping
Cutlery and hand toolsHand and edge toots
Architectural and structural metalsPlate work and fabricated structural products
Prefabricated metal buildings andcomponentsFabricated structural metal products
Ornamental and arcriitecturai metal productsMetal windows and doors
Ornamental and architectural metal workBoilers, tanks, and shipping containersHardwareSpring and wire productsMachine shops and threaded products
Machine shopsTurned products and screws, nuts, and bolts
Precision turned productsBolts, nuts, screws, rivets, and washers
Coating, engraving, and heat treating metalsMetal heat treating and coating andnonprecious engravingElectroplating, anodizing, and coloring metals..
Other fabricated metal products
3212321211,2321213,4321932191321911
321912,83219232199321991
327327132711327123272
327211,232721532733273232731,3,9
3274,9331331133123312133122331333143314233149331533151331511331512,333152
33233213321113321163322332212332333231
33231133231233231333232332321332322332323332433253326332733271332723327213327223328
332811,23328133329
43.743.144.839.639.840.7
38.939.039.940.1
42.539.736.642.742.7
41.843.043.043.542.4
42.9
43.745.242.241.842.543.143.843.742.643.745.146.741.942.0
41.240.943.939.841.842.840.641.9
43.542.539.939.741.338.539.741.940.542.541.741.641.941.242.639.8
39.939.741.8
42.741.344.839.539.540.2
38.938.640.240.5
42.439.335.942.441.5
41.640.843.744.942.1
42.642.344.640.839.941.541.843.142.943.141.642.743.640.940.2
40.740.342.439.640.541.940.241.1
40.942.538.839.640.938.440.142.540.240.741.641.641.540.642.538.7
39.138.441.3
41.641.042.238.639.339.6
39.036.638.938.242.139.837.241.942.1
41.043.942.843.242.2
42.3
42.543.741.439.742.742.643.242.642.741.843.043.542.040.3
40.840.242.539.340.340.140.541.1
38.741.341.940.140.340.538.742.339.141.041.041.041.140.641.639.9
40.339.541.5
42.040.243.938.939.540.4
38.637.039.139.242.239.635.642.942.3
41.743.743.344.841.3 .
41.2
42.742.941.841.242.342.643.843.742.742.443.845.141.340.6
40.740.842.340.540.941.040.441.2
38.341.242.739.740.439.937.942.739.341.140.940.741.640.842.539.7
39.939.540.8
41.7
42.4
40.3
See footnotes at end of table.
126
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004 2004
June2005 P 2005
Average weekly earnings
June2004
July2004
May2005
June2005p 2005 P
Durable goods-ContinuedPlywood and engineered wood products
Hardwood and softwood veneer and plywood.Engineered wood members and trusses
Other wood productsmiiiworK.
Wood windows and doorsCut stock, resawing lumber, planing, andother millwork, Including flooring
Wood containers and palletsAll other wood products
Manufactured and mobile homes
Nonmetallic mineral productsClay products and refractories
Pottery, ceramics, and plumbing fixturesClay building material and refractories
Glass and glass productsFlat glass and other pressed and blown glassand glasswareGlass products made of purchased glass
Cement and concrete productsReady-mix concreteOther cement and concrete products
Lime, gypsum, and other nonmetallic mineral
Primary metalsIron and steel mills and ferroalloy productionSteel products from purchased steel
Iron, steel pipe, and tube from purchase steel....Rolling and drawing of purchased steel
Alumina and aluminum productionOther nonferrous metal production ,
Rolled, drawn, extruded, and alloyed copperNonferrous metal, except C U and AL, shaping...
FoundriesFerrous metal foundries
Iron foundriesSteel foundries. ..
Nonferrous metal foundries
Fabricated metal productsForging and stamping
Iron and steel forgingMetal stamping
Cutlery and hand toolsHand and edge tools ,
Architectural and structural metalsPlate work and fabricated structural products
Prefabricated metal buildings andcomponentsFabricated structural metal productsPlate work
Ornamental and architectural metal productsMetal windows and doorsSheet metal workOrnamental and architectural metal work
Boilers, tanks, and shipping containersHardwareSpring and wire productsMachine shops and threaded products
Machine shopsTurned products and screws, nuts, and bolts
Precision turned productsBolts, nuts, screws, rivets, and washers
Coating, engraving, and heat treating metalsMetal heat treating and coating andnonprecious engravingElectroplating, anodizing, and coloring metals..
Other fabricated metal products
See footnotes at end of table.
3212321211,2321213,4321932191321911
321912,83219232199321991
327327132711327123272
327211,232721532733273232731,3,9
3274,9
331331133123312133122331333143314233149331533151331511331512,333152
33233213321113321163322332212332333231
33231133231233231333232332321332322332323332433253326332733271332723327213327223328
332811,23328133329
$13.2213.7812.6512.4413.0513.68
12.4411.0512.3712.96
16.2214.7814.0415.3916.77
18.0214.8016.3917.5014.96
16.03
18.5023.0817.4716.5818.2016.3319.5620.1817.7916.7618.3519.6315.4914.63
15.2315.8817.5015.0515.1514.9914.6014.83
14.1814.8715.1614.4213.6315.0514.4316.7214.7914.2215.8415.8515.8215.2716.4013.27
13.3913.1715.96
HI3.3214.0512.6712.45113.05'3.65
12.4810.9812.4613.19
18.3714.7013.9615.29115.78
13.1814.5516.5217.5415.17
16.58
18.6523.3617.761S.77
18.5513.6920.38110611651109111.39113614.71
15.2715.8117.5414.9216.2716.1114.6616.21
14.3515.2416.6714.2413.4914.7314.5917.3414.6314.1615.7515.7515.7515.3316.1913.10
13.2812.9515.98
$13.0613.9312.3212.9813.6014.40
12.8310.7913.3713.86
16.5815.2715.3515.2117.08
18.7014.8816.7317.4715.74
16.52
18.8223.2717.2417.2117.2616.4619.9020.5518.2117.3618.8820.7115.1315.23
15.6616.3618.2115.1915.4515.0414.9715.41
14.5715.6115.4914.6313.9715.2114.4017.7115.0115.0816.3916.4416.2515.6516.9013.39
13.6313.1816.15
$12.9313.7812.5612.7713.4114.16
12.6810.3213.2813.77
16.7815.2214.7615.5317.22
19.1314.7917.0317.8415.90
16.63
18.7623.2917.2517.1117.3616.2620.1520.8618.3417.2318.6020.2315.2015.27
15.7416.0817.7814.9515.4614.9015.1415.65
14.3715.8615.9114.7414.0115.3014.7717.7515.8014.9916.2216.2416.1515.7316.5913.61
13.9813.2916.42
$16.93
18.84
15.88
$577.71593.92566.72492.62519.39556.78
483.92430.95493.56519.70
689.35586.77513.86657.15716.08
753.24636.40704.77761.25634.30
687.69
808.451.043.22737.23693.04773.50703.82856.73881.87757.85732.41827.59916.72649.03614.46
627.48649.49768.25
633.27641.57592.76621.38
616.83631.98604.88572.47562.92579.43572.87700.57599.00604.35660.53659.36662.86629.12698.64528.15
534.26522.85667.13
$568.76580.27567.62491.78515.48548.73
485.47423.83500.89534.20
694.09577.71501.16648.30696.37
756.29593.64721.92787.55638.66
706.31
788.901,041.86724.61669.12770.66691.79848.64874.30778.39692.64772.44845.40628.22591.34
621.49637.14743.70590.83618.44633.11589.33625.13
586.92647.70608.00563.90551.74565.63585.06736.95588.13576.31655.20655.20653.63622.40688.08506.97
519.25497.28659.97
$543.30571.13519.90501.03534.48570.24
500.37394.91520.09529.45
698.02607.75571.02637.30719.07
766.70653.23716.04754.70664.23
799.851,016.90713.74683.24737.00701.20859.68875.43777.57725.65811.84900.89635.46613.77
638.93657.67773.93596.97622.64603.10606.29633.35
563.86644.69649.03OuO.OO
562.99616.01557.28749.13586.89618.28671.99674.04667.88635.39703.04534.26
549.29520.61670.23
$543.06553.96551.38496.75529.70572.06
489.45381.84519.25539.78
708.12602.71525.46666.24728.41
797.72646.32737.40799.23656.67
685.16
801.05999.14721.05704.93734.33
882.57911.58783.12730.55814.68912.37627.76619.96
640.62656.06752.09605.48632.31610.90611.66644.78
550.37653.43679.36585.18566.00610.47559.78757.93620.94616.09663.40660.97671.84641.78705.08540.32
557.80524.96
$705.98
798.82
639.96
127
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
Juneft2005P
July2005P
Average overtime hours
June2004 2004
May2005
June2005*
Durable goods-ContinuedMetal valves
Fluid power valves and r fittingsIndustrial valves and other metal valves and
All other fabricated metai productsBall and roller bearings....Small arms, ammunition, and other ordnanceand accessoriesMiscellaneous fab catedr al products...
Agricultural, construction, and mining machinery..Agricultural implements
Farm machinery and equipmentConstruction machinery
Industrial machineryCommercial and service industry machinery
Photographic and photocopying equipmentMiscellaneous commercial and serviceindustry machinery
HVAC and commercial refrigeration equipmentAC, refrigeration, and forced air heating
Metalworking machineryIndustrial moldsMetal cutting and forming machine toolsSpecial tools, dies, jigs, and fixturesMiscellaneous metalworking machinery
Turbine and power transmission equipment
33291332912
332911,933299332991
332992,3,4,5332996,7,8,9
3333331333113331113331233323333333315
333311.2,4,933343334153335333511333512,3333514333515,6,8
Power transmission and rengine equipment
Other general purpose machineryPumps and compressors
Pumps and pumping equipment, includingmeasuring and dispensing
Material handling <Conveyor and conveying equipment...
All other general purpose machinery
333612,3,8333933391
333911,333392
Computer and electronic productsComputer and peripheral equipmentCommunications equipment
Broadcast and wireless communications
Audio and video equipment.Semiconductors and electronic components
Bare printed circuit boardsSemiconductors and related devicesPrinted circuit assemblies......Electronic connectors and misc. electroniccomponents
Electronic instrumentsElectromedical apparatus..
Search, detection, and navigationinstrumentsIndustrial process variable instrumentsElectricity and signal testing instrumentsIrradiation apparatusMiscellaneous electronic instruments
Electrical equipment and appliancesElectric lighting equipment
Electric lamp bulbs and partsLighting fixtures
Electrical equipment...!!!!!!!!!!!!.!!!!!!!!!!"!!!!.".!!.!!!!!!.!Motors and generatorsSwitchgear and switchboard apparatusRelays and industrial controls
Other electrical equipment and componentsWiring devices
33399
33433413342
3342233433344334412334413334418
334415,6,7,9334533451
334511334513334515334517334514,6,8,9
3353351335113351233523353335312335313335314335933593
40.539.8
41.242.643.4
43.642.0
42.242.242.342.740.442.441.139.3
41.842.443.342.342.541.742.342.442.1
42.042.342.8
40.742.643.441.9
40.641.040.8
41.439.740.841.940.539.4
41.540.041.1
39.838.239.243.440.2
41.141.742.141.638.842.040.842.840.941.741.5
40.440.7
40.541.742.5
43.141.1
41.542.042.242.640.641.440.940.5
41.240.642.141.841.241.642.142.041.5
41.241.742.9
41.641.642.541.4
40.241.340.7
41.140.140.041.540.337.6
40.139.639.5
39.538.339.542.740.4
40.440.339.040.737.941.840.242.640.940.839.9
41.241.4
41.541.642.8
43.540.8
42.042.040.941.041.042.140.336.8
41.241.340.642.142.640.343.041.242.3
42.142.845.2
44.543.245.341.9
39.838.741.3
42.840.339.740.139.838.6
40.039.740.6
39.535.841.142.441.0
40.041.540.241.937.940.339.041.439.540.540.1
41.141.3
41.240.742.7
43.039.5
41.841.641.041.340.941.840.439.4
40.741.240.441.942.639.742.741.242.4
42.442.745.4
44.443.246.641.6
39.639.140.8
42.039.739.340.139.138.3
40.039.840.8
40.435.540.941.940.9
40.241.140.041.438.340.740.142.038.840.639.4
41.6
39.8
40.2
4.65.4
4.25.14.9
4.55.3
5.04.74.75.44.14.83.22.4
3.65.66.25.16.24.94.94.65.7
5.75.15.0
4.65.56.15.0
3.7
4.1
4.5
4.74.75.63.2
4.33.1
3.42.12.3
3.2
4.24.92.65.62.24.23.55.73.35.45.0
4.45.6
3.74.64.1
4.64.8
4.74.64.45.04.34.33.12.4
3.44.95.14.95.75.14.64.55.3
5.44.94.9
4.75.05.64.9
3.5
3.6
3.7
4.43.95.42.7
4.32.8
3.02.22.1
3.2
3.94.31.45.22.04.13.25.53.25.03.8
3.84.7
3.24.44.0
3.94.7
4.85.94.04.35.14.93.23.6
3.43.93.95.25.94.05.54.85.0
5.04.95.3
5.34.96.34.7
3.3
3.7
3.7
4.54.95.03.9
4.12.8
3.11.73.5
2.0
3.23.02.13.31.03.72.84.93.54.24.3
4.55.5
3.74.44.3
4.04.5
4.85.74.85.14.84.73.44.1
3.53.53.65.46.13.95.85.04.8
4.94.95.5
5.14.96.14.7
3.3
3.5
3.4
4.34.75.12.6
4.23.0
3.61.73.7
2.13.63.72.34.11.74.23.35.93.84.23.9
See footnotes at end of table.
128
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry-—Continued
Industry2002
NAICScode
Average hourly earnings
June2004 2004
June2005P
July20051
Average weekly earnings
June2004
May2005
June2005P
Durable goods-ContinuedMetal valves
Fluid power valves and h< i fittings..Indupipe
All oth
Industrial valves and other metal valves andfittings
ther fabricated metal productsBali and roller bearingsSmall arms, ammunition, and other ordnanceand accessoriesMiscellaneous fabricated metal products
MachineryA i l t
yAgricultural, construction, and mining machinery...
Agricultural i l tF_ I implements..Farm machinery and equipment.
Construction machineryIndustrial machineryCommercial and service industry machinery
Photographic and photocopying equipment...Miscellaneous commercial and serviceindustry machinery
HVAC and commercial refrigeration equipment...AC, refrigeration, and forced air heating
Metalworking machineryIndustrial moldsMetal cutting and forming machine toolsSpecial tods, dies, jigs, and fixturesMiscellaneous metalworking machinery
Turbine and power transmission equipmentPower transmission and miscellaneousengine equipment
Other general purpose machineryPumps and compressors
Pumps and pumping equipment includingmeasuring and dispensing
Material handling equipmentConveyor and conveying equipment
All other general purpose machinery
Computer and electronic productsComputer and peripheral equipmentCommunications equipment.
Broadcast and wireless communicationsequipment
Audio and video equipmentSemiconductors and electronic components
33291332912
332911,933299332991
332992,3,4,5332996,7,8,9
3333331333113331113331233323333333315
333311,2,4,93334333415
333511333512,3333514333515,6,83336
333612,3,8
Bare printed circuit boards..Semiconductors and related devicesPrinted circuit assembliesElectronic connectors and misc. electroniccomponents
Electronic instalmentsElectromedical apparatus
Search, detection, and navigationinstrumentsIndustrial process variable instrumentsElectricity and signal testing instrumentsIrradiation apparatus-Miscellaneous electronic instruments..
Electrical equipment and appliancesElectric lighting equipment
Electric lamp bulbs and partsLighting fixtures
Household appliancesElectrical equipment
Motors and generatorsSwitchgear and switchboard apparatusRelays and industrial controls
Other electrical equipment and components...Wiring devices
33391
333911,33339233392233399
33433413342
3342233433344334412334413334418
334415,6,7,9334533451
334511334513334515334517334514,6,8,9
3353351335113351233523353335312335313335314335933593
$16.0517.65
15.4615.9117.26
18.0614.81
16.5614.9714.5015.7115.7917.3418.2825.78
16.4314.8514.3717.6518.1117.3217.5017.7317.79
16.6916.4618.00
18.4614.7714.6216.91
17.2220.0816.89
15.5617.9816.3113.1119.9314.06
13.3917.3814.65
21.0316.5517.9821.8117.21
14.9214.8319.3013.3614.5414.9213.4616.5315.8915.2314.41
$16.1017.70
15.4415.9316.77
18.4814.89
16.6815.0114.6015.7315.7817.3818.5826.55
16.5014.9214.3817.6918.5317.3117.4917.4518.21
17.2016.6018.06
18.4614.8414.8517.09
J7.3020.4916.72
15.358.22
16.3313.029.85
13.83
13.6017.3914.98
21.0016.4017.8921.9717.10
14.9214.8519.8213.3414.5414.8213.2316.5015.7515.3414.33
$16.4018.03
15.6016.0217.89
18.8214.72
16.9116.0515.5116.1717.0217.0819.1928.02
17.1414.5614.6817.6517.9717.3117.4118.1318.88
17.7116.6718.96
19.7314.6215.0117.23
18.4522.8017.97
15.8020.1417.2214.4421.4014.00
13.5517.6815.57
20.9815.9517.6420.5617.92
15.0415.0220.3913.4114.1115.1513.7316.8715.6115.5814.31
$16.6518.25
15.8716.3118.20
18.9815.02
17.0415.8215.2515.8117.0817.9519.3527.08
17.3414.5514.7017.8318.3717.3817.5718.1718.87
17.6616.9319.39
20.0114.4514.7117.74
18.3722.6718.02
15.9420.2816.9614.1521.2313.77
13.1917.6615.38
20.8215.9217.6720.3817.93
15.1115.2820.4813.8014.1715.1913.7616.7715.6315.5814.35
$17.19
18.68
15.22
$650.03702.47
636.95677.77749.08
787.42622.02698.83631.73613.35670.82637.92735.22751.31
1,013.15
686.77629.64622.22746.60769.68722.24740.25751.75748.96
700.98696.26770.40
751.32629.20634.51708.53
699.13823.28689.11
644.18713.81665.45549.31807.17553.96
555.69695.20602.12
836.99632.21704.82946.55691.84
613.21618.41812.53555.78564.15626.64549.17707.48649.90635.09598.02
$650.44720.39
625.32664.28712.73
796.49611.98
692.22630.42616.12670.10640.67719.53759.92
1,075.28
679.80605.75605.40739.44763.44720.10736.33732.90755.72
708.64692.22774.77
767.94617.34631.13707.53
695.46846.24680.50
630.89730.62653.20540.33799.96520.01
545.36688.64591.71
829.50628.12706.66938.12690.84
602.77598.46772.98542.94551.07619.48531.85702.90644.18625.87571.77
$675.68746.44
647.40666.43765.69
818.67600.58
710.22674.10634.36662.97697.82719.07773.36
1,031.14
706.17601.33596.01743.07765.52697.59748.63746.96798.62
745.59713.48856.99
877.99631.58679.95721.94
734.31882.36742.16
676.24811.64683.63579.04851.72540.40
542.00701.90632.14
828.71571.01725.00871.74734.72
601.60623.33819.68561.88534.77610.55535.47698.42616.60630.99573.83
$684.32753.73
653.84663.82777.14
816.14593.29
712.27658.11625.25652.95698.57750.31781.74
1,066.95
705.74599.46
$715.10
747.08782.56
750.24748.60800.09
748.78722.91880.31
888.44624.24685.49737.98
727.45886.40735.22
669.48805.12666.53567.42830.09527.39
527.60702.87627.50
841.13565.16722.70853.92733.34
607.42628.01819.20571.32542.71618.23551.78704.34606.44632.55565.39
743.46
611.84
See footnotes at end of table.
129
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisoiy workers1 on private nonfarm payrolls by detailedindustry—-Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004 2005
June2005P 2005"
Average overtime hours
June2004 2004
May2005
June2005P 20u5P
Durable goods-ContinuedCurrent-carrying wiring devices
Ail other electrical equipment and components...
Transportation equipment
Motor vehicles and partsMotor vehicles
Automobiles and light trucksAutomobilesLight trucks and utility vehicles
Heavy duty trucksMotor vehicle bodies and trailers
Motor vehicle bodiesTruck trailersTravel trailers and campers
Motor vehicle partsMotor vehicle gasoline engine and parts
Gasoline engine and engine partsMotor vehicle electric equipment
Other motor vehicle electric equipmentMotor vehicle steering and suspension partsMotor vehicle power train componentsMotor vehicle seating and interior trimMotor vehicle metal stampingOther motor vehicle parts
All other motor vehicle partsAerospace products and parts
Aircraft.. > • ....•Aircraft engines and engine partsOther aircraft parts and equipment
Ship and boat buildingShip building and repairingBoatbuilding
33593133599
3361,2,33361336113361113361123361233623362113362123362143363336313363123363233632233633
33637
Furniture and related productsHousehold and institutional furniture
Wood kitchen cabinets and countertopsOther household and institutional furniture
Upholstered household furnitureNonupholstered wood household furnitureMiscellaneous household and institutionalfurniture
Office furniture and fixturesWood office furniture and customarchitectural woodwork and millworkShowcases, partitions, shelving, and lockers...
Other furniture-related products
Miscellaneous manufacturingMedical equipment and supplies
Surgical and medical instrumentsSurgical appliances and suppliesDental laboratories
Other miscellaneous manufacturingJewelry and silverwareSporting and athletic goodsOffice supplies, except paperSignsAll other miscellaneous manufacturing
Nondurable goods
Food manufacturingAnimal foodGrain and oilseed milling
Flour milling, malt, starch, and vegetable oilSugar and confectionery products
SugarChocolate confectioneries
Fruit and vegetable preserving and specialtyFrozen food
Frozen fruits and vegetables
3364336411336412336413336633661133661233733713371133712337121337122
337124,5,7,93372
337211,23372153379
339339133911233911333911633993399133992339943399533999
3113111311231121,231133113131132,3311431141311411
41.137.8
42.6
43.043.243.543.743.340.941.242.840.639.743.342.643.442.343.445.946.941.843.041.641.442.341.444.941.641.743.339.2
39.840.041.738.836.938.4
43.539.6
39.339.438.5
38.437.839.138.6'34.738.938.442.236.838.837.8
40.2
39.442.342.543.338.341.737.238.638.137.0
39.838.5
40.5
40.040.440.640.640.739.341.242.540.539.739.539.039.438.940.040.642.540.039.137.637.042.040.744.741.941.943.539.3
39.339.440.138.837.937.8
42.639.4
39.738.438.6
38.037.238.437.733.938.637.440.636.440.037.6
39.8
39.341.942.743.037.741.436.140.039.036.4
39.637.6
42.0
41.642.443.043.242.639.341.244.240.338.941.442.643.841.342.042.245.239.340.639.739.643.042.244.743.242.744.240.5
38.739.039.838.337.138.8
39.938.3
38.938.037.9
38.839.040.839.534.438.539.039.337.437.937.8
39.7
38.840.143.143.935.740.632.539.139.037.2
38.638.3
42.4
42.242.643.043.442.440.041.545.039.739.242.343.044.642.343.242.645.141.941.140.840.943.242.944.143.242.643.840.739.439.441.038.237.138.5
40.038.9
38.438.740.0
38.838.840.639.732.938.938.640.038.238.038.0
39.7
39.040.643.443.835.441.331.438.838.638.4
40.0
39.1
39.0
37.5
39.2
38.6
4.82.7
5.6
5.75.35.65.95.13.44.55.84.83.16.16.05.95.76.29.48.44.05.75.65.85.24.36.95.65.36.14.13.83.75.2Z71.52.2
6.23.9
4.63.34.1
3.13.24.33.8
3.12.44.61.33.52.8
4.4
4.66.46.76.42.73.4
3.93.83.3
3.63.3
4.4
3.93.94.24.24.32.24.04.93.52.73.93.53.33.74.33.35.03.73.84.04.15.13.96.36.16.57.84.5
3.83.54.32.92.12.2
5.94.2
4.73.64.7
3.03.04.13.3
3.02.64:01.33.52.7
4.4
4.96.57.06.32.93.0
5.64.53.4
4.12.4
5.0
4.85.15.45.75.03.03.95.43.52.44.95.85.94.64.96.77.63.54.43.53.85.64.66.86.55.66.74.0
2.92.93.92.21.91.5
4.22.9
3.42.52.3
3.03.64.34.0
2.63.23.62.12.42.1
4.2
4.65.56.15.72.93.7
3.93.92.3
3.52.5
5.3
5.25.25.55.94.93:34.26.03.23.05.56.06.35.25.67.07.74.65.34.34.65.85.06.36.45.36.04.2
3.33.34.42.51.91.8
4.83.3
4.12.13.5
3.43.94.44.6
3.03.13.81.93.92.4
4.3
4.76.67.06.32.84.3
4.44.64.0
4.3
See footnotes at end of table.
130
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisoty workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002NAICScode
33593133599
336
3361,2,3336133611336111336112336123362336211336212336214336333631
33631233632336322336333363533636336373363933639933643364113364123364133366336611336612
33733713371133712337121337122
337124,5,7,9
3372
337211,23372153379
3393391339112339113339116339933991339923399433995
33999
3113111311231121,2311331131
31132,3311431141311411
June2004
$14.5113.67
21.31
21.5128.0828.7430.1526.4223.5116.4419.9413.1914.0720.2722.1323.0318.7419.2426.5025.7215.4722.9016.2216.28
23.7726.7524.7218.0516.7618.3714.08
13.1112.8213.2412.5213.1711.63
12.9314.27
14.8213.3312.49
13.8214.2514.0013.9215.2513.4813.1013.1311.8314.7113.61
15.03
13.0114.0919.4517.0415.55
15.8815.8212.8711.8212.11
2004
$14.3113.67
20.73
20.6627.9028.8429.9326.7922.5516.4719.4613.4614.2819.1921.1822.0917.5618.0124.4823.2914.8822.4816.0616.14
23.8026.5724.9318.3416.9818.5814.23
13.1212.7513.2412.3812.9311.62
12.6914.51
15.1713.6012.52
13.9014.4714.4114.1915.3013.4413.2813.1911.8514.4413.51
15.13
13.0714.3319.5717.2415.56
15.8215.9313.0311.8412.37
May2005
$14.3514.99
21.88
22.0428.5529.2930.6727.0723.7317.3720.0813.6615.5220.7022.4823.7319.3620.1227.7625.8615.0423.5216.5716.66
24.5928.1225.0718.5517.1118.5814.65
13.4413.1413.6612.7313.4311.94
12.8314.40
15.3113.1313.38
14.0614.6913.8314.7716.8213.5014.2112.9512.6813.8813.69
15.28
13.0414.2119.2417.3815.4016.5415.5512.7611.7212.35
June2005 P
$14.3914.86
22.01
22.1428.6729.4530.7827.2923.9317.2519.7813.6715.3420.9622.6523.8320.2621.0628.2325.9815.5223.8116.6316.7424.8428.6125.0718.6417.0818.6014.55
13.4913.1413.6312.7313.3911.92
12.9314.57
15.7213.2213.66
14.0214.5813.6814.6016.9813.5314.1912.8512.6814.2613.60
15.27
13.0314.4119.5717.4915.3916.9815.3612.7311.7512.18
July20050
-$21.45
——_
——
—
—
__
-._.
—
-
13.41————-
-
—-
14.21———
————
-
15.34
12.99
———
————
Awei age weewy earnings
June2004
$596.36516.73
907.81
924.931,213.061,250.191,317.561,143.99961.56677.33853.43535.51558.58
877.69942.74999.50792.70835.02
1,216.351,206.27646.65984.70674.75673.99
1,005.471,107.451,109.93750.88698.89795.42551.94
521.78512.80552.11485.78485.97446.59
562.46565.09
582.43525.20480.87
530.69538.65547.40537.31529.18524.37503.04554.09435.34570.75514.46
604.21
512.59596.01826.63737.83595.57662.20
588.50496.78450.34448.07
2004
$569.54526.30
839.57
826.401,127.161,170.901,215.161,090.35886.22678.56827.05545.13566.92758.01826.02870.35683.08720.40993.89989.83595.20878.97603.86697.18
999.601,081.401,114.37768.45711.46808.23559.24
515.62502.35530.92480.34490.05439.24
540.59571.69
602.25522.24483.27
528.20538.28553.34534.96518.67518.78496.67535.51431.34577.60507.98
602.17
513.65600.43835.64741.32586.61654.95
575.07521.20461.76450.27
May2005
$568.26563.62
918.96
916.861,210.521.259.471,324.941,153.18932.59715.64887.54550.50603.73856.98957.65
1,039.37799.57845.04
1,171.471,168.87591.07954.91657.83659.74
1,057.371,186.661,120.63801.36730.60821.24593.33
520.13512.46543.67487.56498.25463.27
511.92551.52
595.56498.94507.10
545.53572.91564.26583.42578.61519.75554.19508.94474.23526.05517.48
606.62
505.95569.82829.24762.98549.78671.52
505.38498.92457.08459.42
June2005P
$555.45569.14
933.22
934.311,221.341.266.351,335.851.157.10957.20715.88890.10542.70601.33886.61973.95
1,062.82857.00909.79
1,202.601,171.70650.29978.59678.50684.67
1,073.091,227.371,105.59805.25727.61814.68592.19
531.51
517.72558.83486.29496.77458.92
517.20566.77
603.65511.61546.40
543.98565.70555.41579.62558.64526.32547.73514.00484.38541.88516.80
606.22
508.17585.05849.34766.06544.81
701.27482.30493.92453.55467.71
July2005P
-$858.00
—--
——-
—
——---
——
_——-
522.99
—
-
-
—
-
532.88—--——-—---
601.33
501.41
——-——
—
Durable goods-ContinuedCurrent-carrying wiring devices
All other electrical equipment and components....
Transportation equipment
Motor vehicles and partsMotor vehicles
Automobiles and light trucksAutomobilesLight trucks and utility vehicles
Heavy duty trucksMotor vehicle bodies and trailers
Motor vehicle bodiesTruck trailersTravel trailers and campers
Motor vehicle partsMotor vehicle gasoline engine and parts
Gasoline engine and engine partsMotor vehicle electric equipment
Other motor vehicle electric equipmentMotor vehicle steering and suspension parts....Motor vehicle power train componentsMotor vehicle seating and interior trimMotor vehicle metal stampingOther motor vehicle parts
All other motor vehicle partsAerospace products and parts
Aircraft....Aircraft engines and engine parts.Other aircraft parts and equipment
Ship and boat buildingShip building and repairingBoatbuilding
Furniture and related productsHousehold and institutional furniture
Wood kitchen cabinets and countertopsOther household and institutional furniture
Upholstered household furnitureNonupholstered wood household furnitureMiscellaneous household and institutionalfurniture
Office furniture and fixtures.Wood office furniture and customarchitectural woodwork and milhworkShowcases, partitions, shelving, and lockers
Other furniture-related productsMiscellaneous manufacturing
Medical equipment and suppliesSurgical and medical instrumentsSurgical appliances and suppliesDental laboratories.
Other miscellaneous manufacturingJewelry and silverwareSporting and athletic goodsOffice supplies, except paperSignsAll other miscellaneous manufacturing
Nondurable goods
Food manufacturing.,Animal foodGrain and oilseed milling
Flour milling, malt, starch, and vegetable oilSugar and confectionery products
SugarChocolate confectioneries
Fruit and vegetable preserving and specialtyFrozen food
Frozen fruits and vegetables
See footnotes at end of table.
131
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
8-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
July20051
Average overtime hours
June2004
July2004
May2005
June2005 P
July2005 P
Nondurable goods-ContinuedFrozen specialty food
Fruit and vegetable canning and dryingFruit and vegetable canningDried and dehydrated food
Dairy productsDairy products, except frozen
Fluid milkAnimal slaughtering and processing
Animal, except poultry, slaughteringMeat processed from carcasses, andrendering and meat byproduct processingPoultry processing
Seafood product preparation and packagingBakeries and tortilla manufacturing
Bread and bakery productsRetail bakeriesCommercial bakeries and frozen cakes andother pastry products
Cookies, crackers, pasta, and tortillasOther food products
Snack foodMiscellaneous food products
Beverages and tobacco productsBeverages
Soft drinks and iceSoft drinks
Breweries, wineries, and distilleries
Textile millsFiber, yarn, and thread millsFabric mills
Broadwoven fabric millsTextile and fabric finishing mills
Broadwoven fabric finishing mills
Textile product millsTextile furnishings mills
Curtain and linen millsOther textile product mills
Textile bag and canvas millsAll other textile product mills
Apparel.Apparel knitting mills
Hosiery and sock millsSheer hosiery millsOther hosiery and sock mills
Cut and sew apparelCut and sew apparel contractors
Men's cut and sew apparel contractorsWomen's cut and sew apparel contractors
Men's cut and sew apparelWomen's cut and sew apparel
Accessories and other apparel
Leather and allied productsFootwearLeather and hide tanning and finishing and otherleather products
Paper and paper productsPulp, paper, and paperboard mills
Pulp mills and paper millsPaperboard mills
Converted paper productsPaperboard containers
Corrugated and solid fiber boxesFolding paperboard boxesMiscellaneous paperboard containers.....
Paper bags and coated and treated paper.Coated and laminated package materials andpaper
311412311423114213114233115311513115113116311611
311612,33116153117311831181311811
311812,331182,331193119131192,3,4,9
31231213121131211131212,3,4
31331313132313213133313311
31431413141231493149131499
31531513151131511131511931523152131521131521231522315233159
3163162
3161,9
322322132211,232213322232221322211322212322213,4,532222
322221,2
38.939.339.641.040.941.142.840.241.6
39.339.736.837.736.730.9
39.940.338739.038.6
39.239.339.339.739.3
40.440.840.540.240.039.1
39.440.339.238.041.035.9
36.338.638.636.140.035.734.437.433.637.137.637.3
38.237.5
38.8
41.943.543.443.841.241.841.643.940.041.1
41.4
40.940.841.141.140.841.242.639.539.9
38.939.639.037.536.931.9
39.639.338.639.138.3
39.439.540.040.238.8
39.939.740.039.939.938.9
37.939.037.836.339.633.9
35.836.737.335.338.535.534.436.733.736.637.337.0
36.235.9
36.4
41.943.443.642.841.241.141.045.136.742.0
42.6
40.239.240.236.442.242.243.738.737.7
37.939.635.038.137.233.6
39.140.538.236.539.1
39.238.739.942.237.1
40.544.239.039.139.639.9
38.539.538.137.138.735.9
35.138.638.738.239.034.033.336.432.434.235.439.6
38.538.1
38.8
42.244.144.243.941.342.042.044.938.840.8
41.0
38.739.039.637.642.342.444.139.038.5
38.939.336.538.237.333.7
39.240.638.636.639.6
40.439.940.642.638.9
40.442.938.838.740.740.4
38.238.838.137.239.735.4
35.139.339.038.339.534.032.836.631.834.336.738.1
38.837.7
39.7
42.343.643.942.941.842.342.244.140.241.7
41.4
39.1
39.7
37.6
34.7
38.2
41.9
4.14.0
5.14.84.74.95.1
6.14.24.13.93.6
4.74.85.36.05.0
5.15.75.85.45.5
4.74.44.74.55.05.3
2.93.13.62.84.01.9
2.03.22.5
2.81.91.4
1.21.64.01.0
2.6
4.1
5.36.36.26.74.85.05.16.13.65.7
6.5
6.56.8
4.84.54.74.64.2
5.44.67.04.03.7
4.95.05.56.54.9
4.95.76.15.85.0
4.33.64.34.15.15.2
2.83.03.62.63.91.6
2.23.22.6
2.82.12.1
2.11.43.61.0
1.8
2.5
5.46.56.46.75.04.95.16.32.55.9
6.8
3.94.1
5.35.05.34.75.0
5.24.22.14.54.1
5.35.55.54.65.9
5.35.97.07.54.3
4.04.23.64.04.44.7
4.23.94.44.65.14.2
1.82.71.8
2.11.51.1
1.11.52.42.6
1.8
2.4
5.37.37.08.04.54.84.66.92.85.0
5.4
4.24.5
5.24.75.04.65.0
5.34.02.34.44.0
5.25.55.64.56.2
5.86.26.77.15.5
4.14.33.53.75.04.8
4.14.04.74.34.84.0
1.92.62.0
2.31.81.6
1.81.62.71.8
2.2
3.1
5.46.86.67.44.85.15.16.93.15.4
5.7
See footnotes at end of table.
132
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervlsory workers1 on private nonfarm payrolls by detailedindustry-"-Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 P
July2005 P
June2004
Juiy2004
May2005
June2005 P
July2005 P
Nondurable goods-ContinuedFrozen specialty food
Fruit and vegetable canning and drying..Fruit and vegetable canningDried and dehydrated food
Dairy products....Dairy products, except frozen....
Fluid milkAnimal slaughtering and processing
Animal, except poultry, slaughteringMeat processed from carcasses, andrendering and meat byproduct processing ..,Poultry processing
Seafood product preparation and packagingBakeries and tortilla manufacturing.....
Bread and bakery productsRetail bakeriesCommercial bakeries and frozen cakes andother pastry products ............
Cookies, crackers, pasta, and tortillas......Other food products........ .....
Snack foodMiscellaneous food products....
Beverages and tobacco productsBeverages
Soft drinks and iceSoft drinks
Breweries, wineries, and distilleries..
Textile millsFiber, yarn, and thread mills..Fabric mills
Broadwoven fabric millsTextile and fabric finishing mills
Broadwoven fabric finishing mills...
Textile product millsTextile furnishings mills.
Curtain and linen mills........Other textile product mills...
Textile bag and canvas millsAil other textile product mills..............
Apparel.....Apparel knitting mills
Hosiery and sock mills.............Sheer hosiery millsOther hosiery and sock mills......................
Cut and sew apparel.....Cut and sew apparel contractors..............
Men's cut and sew apparel contractors....Women's cut and sew apparel contractors
Men's cut and sew apparel.Women's cut and sew apparel.
Accessories and other apparel
Leather and allied productsFootwearLeather and hide tanning and finishing and otherleather products
Paper and paper products..Pulp, paper, and paperboard mills...........
Pulp mills and paper mills.......................Paperboard mills
Converted paper productsPaperboard containers
Corrugated and solid fiber boxes............Folding paperboard boxesMiscellaneous paperboard containers
Paper bags and coated and treated paperCoated and laminated package materials andpaper.
311412311423114213114233115311513115113116311611
311612,33116153117311831181311811
311812,331182,331193119131192,3,4,9
31231213121131211131212,3,4
31331313132313213133313311
31431413141231493149131499
31531513151131511131511931523152131521131521231522315233159
3163162
3161,9
322322132211,232213322232221322211322212322213,4,532222
322221,2
$11.6114.0313.6113.8416.6716.8718.4011.5812.15
13.0810.5410.7312.7212.429.38
13.7513.4512.7810.6013.92
19.3718.8315.3515.9824.11
12.1411.4412.5812.4512.0112.22
11.2711.1310.0611.4811.3311.60
9.6010.3610.7310.6210.799.458.809.418.619.58
10.709.47
11.5811.28
17.91 122.8822.8522.9515.5915.5915.8016.6113.5916.45
17.75
$11.5014.0213.7213.6216.7316.8718.1711.7012.21
13.0810.7910.5112.6012.319.24
13.6813.3412.8610.7813.99
19.2618.7915.0615.5124.43
12.0611.3812.4612.3411.9812.13
114511.3510.3711.6111.5011.71
9.7310.5110.9410.6011.139.608.959.518.789.63
10.959.43
11.6711.41
11.85 ) 11.89
17.9623.2223.1223.4915.5615.4515.7116.3413.2816.45
17.86
$11.3413.9113.4713.3016.7516.8117.7611.4511.80
13.0710.5611.6712.6212.489.66
13.7812.9613.2811.0614.33
19.1418.6315.1815.7723.72
12.4111.7612.7312.8412.5512.56
11.5411.2710.7911.9411.3912.36
10.1210.7010.9810.4211.339.979.369.739.249.96
11.1610.32
11.4211.39
11.45
18.0123.1823.0523.5315.6215.4915.6616.5513.4116.48
17.97
$11.4513.7513.2013.3716.7416.7117.6811.4311.78
12.9310.5711.0712.6112.499.66
13.7912.8913.4111.2414.42
18.7018.1014.7315.9223.13
12.4411.7712.7912.9712.5212,50
11.6511.4911.0811.8811.2212.43
10.1810.8011.0310.3811.4010.019.459.659.399.95
11.0810.55
11.5111.40
11.59
18.0423.3123.1323.8215.6315.5615.8816.4913.2016.32
17.91
$19.08
12.41
1179
10.28
11.35
18.19
$451.63551.38538.96567.44681.80693.36787.52465.52505.44
514.04418.44394.86479.54455.81289.84
548.63542.04494.59413.40537.31
759.30740.02603.26634.41947.52
490.46466.75509.49500.49480.40477.80
444.04448.54394.35436.24464.53416.44
348.48399.90414.18333.3843160337.37302.72351.93289.30355.42402.32353.23
442.36423.00
459.78
750.43995.28
1,005.21642.31651.66657.28729.18543.60676.10
734.85
$470.35572.02563.89559.78682.58695.04774.04462.15487.18
508.81427.28409.89472.50454.24294.76
541.73524.26496.40421.60535.82
758.84742.21602.40623.50947.88
48119451.79498.40492.37478.00471.86
433.96'142.653919942144455.40396.97
348.33385.72408.06374.18428.51340.80307.88349.02295.89352.46408.44348.91
422.45409.62
432.80
752.521,007.751,008.031,005.37
84107635.00644.11736.93487.38690.90
760.84
$455.37545.27541.49484.12706.85709.38776.11443.12444.86
495.35418.18408.45480.82464.26324.58
538.80524.88507.30403.69560.30
750.29720.98605.68665.49880.01
502.61519.79496.47502.04496.9850114
444.29445.1741110442.97440.79443.72
355.21413.02424.93398.0444187338.9831169354.17299.38340.63395.06408.67
439.67433.96
444.26
760.021,022.241,018.811,032.97
645.11650.58657.72743.10520.31672.38
736.77
$443.12536.25522.72502.71708.10708.50779.69445.77453.53
502.93415.40404.06481.70465.88325.54
540.57523.33517.634113857103
755.48722.19598.04678.19899.76
502.58504.93496.25501.94509.56505.00
445.03445.81422.1544194445.43440.02
357.32424.44430.17397.55450.30340.34309.96353.19298.6034129406.6440196
446.59429.78
460.12
763.091,016.321,015.411,02188
653.33658.19670.14727.21530.64630.54
74147
$746.03
492.68
443.30
356.72
433.57
762.16
See footnotes at end of table.
133
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—- Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P 2005 P
Average overtime hours
June2004
July2004
May2005
June2005 P
July2005 P
Nondurable goods-ContinuedMiscellaneous coated and treated paperand paper bags
Stationery productsOther converted paper products
Printing and related support activitiesCommercial lithograph printing
Commercial flexographic printingCommercial screen printingQuick printingManifold business forms printingCommercial gravure and misc. commercialprinting
Support activities for printing
Petroleum and coal productsPetroleum refineriesAsphalt paving and roofing materials and otherpetroleum and coal products
ChemicalsBasic chemicals
Other basic inorganic chemicalsResin, rubber, and artificial fibers
Resin and synthetic rubberPlastics material and resin
Agricultural chemicalsPharmaceuticals and medicines
Pharmaceutical preparationsMiscellaneous medicinal and biologicalproducts
Paints, coatings, and adhesivesPaints and coatings
Soaps, cleaning compounds, and toiletries....Soaps and cleaning compounds
Polishes and other sanitation goods andsurface active agents
Toilet preparationsOther chemical products and preparations
Plastics and rubber productsPlastics products
Plastics packaging materials, film, and sheetNonpackaging plastics film and sheet
Plastics pipe, fittings, and profile shapesUnlaminated plastics profile shapesPlastics pipe and pipe fittings
Foam productsPlastics bottles and laminated plastics plate,sheet, and shapesOther plastics products
Rubber productsTiresOther rubber products
Rubber products for mechanical useAll other rubber products....
Private service-providing
Trade, transportation, and utilities..
Wholesale trade
Durable goodsMotor vehicles and parts
Motor vehiclesNew motor vehicle parts
Furniture and furnishingsHome furnishings
Lumber and construction suppliesLumber and woodMasonry materialsRoofing, siding, and other constructionmaterials
322223,4,5,63222332229
32332311323112323113323114323116323111,5,7,8932312
32432411
32412,9
32532513251832523252132521132533254325412
325411,3,4325532551325632561
325612,3325623259
3263261326113261133261232612132612232614,5
32613,63261932623262132629326291326299
42
4234231423114231242324232242334233142332
42333,9
40.739.540.1
38.238.837.538.235.038.1
38.638.6
45.245.3
45.1
42.744.941.543.744.344.645.542.443.0
40.142.942.839.838.0
37.241.741.2
41.140.541.540.640.641.040.239.6
42.840.143.245.341.542.739.6
32.3
33.5
37.6
38.236.634.137.836.734.139.939.539.4
41.5
41.040.441.3
38.238.838.038.135.337.7
38.738.7
46.046.1
45.8
42.244.641.242.643.244.145.641.942.2
40.741.541.440.138.9
37.841.340.7
39.739.240.840.540.439.741.040.4
42.538.041.544.538.839.837.3
32.5
33.8
37.7
38.136.934.238.637.535.340.139.140.4
42.3
40.441.639.4
38.138.937.937.134.839.4
37.639.7
45.646.8
44.0
42.244.740.044.545.644.945.341.541.3
42.440.242.939.438.9
40.139.940.7
39.739.039.940.841.242.839.939.1
40.938.242.144.539.740.139.0
32.6
33.6
38.0
38.637.134.338.637.836.140.440.637.2
43.0
42.242.539.7
37.938.538.437.335.238.8
38.137.7
45.645.4
45.8
42.243.940.544.945.944.944.741.941.9
42.140.842.639.337.9
38.240.740.3
39.939.339.840.641.042.639.640.0
40.838.641.843.640.240.839.3
32.4
33.5
37.6
38.236.433.538.137.235.140.240.338.2
41.6
37.9
45.4
41.4
38.9
32.5
33.6
37.5
4.33.53.9
3.24.32.03.21.1
2.93.1
8.0
9.3
5.06.35.16.67.16.76.54.14.1
4.26.06.53.01.7
1.44.34.1
4.54.35.64.73.84.53.14.0
5.33.95.4
4.74.94.4
4.54.44.4
3.44.62.63.00.8
3.12.8
8.5
9.2
4.86.65.16.36.86.76.23.83.6
4.54.84.63.62.8
2.34.43.5
4.24.05.34.43.84.13.64.3
5.33.54.7
3.63.53.7
4.33.73.3
2.83.61.72.90.3
2.93.3
8.4
8.9
4.56.74.65.76.86.67.33.02.8
3.74.53.83.32.5
2.84.13.8
3.83.64.44.23.75.12.54.5
5.42.94.7
3.53.63.4
4.84.33.1
2.93.71.92.90.3
3.42.4
8.8
10.0
4.66.65.16.17.37.37.03.12.9
3.75.14.43.62.5
2.14.93.8
4.03.84.23.73.65.02.34.7
5.13.34.7
4.24.53.6
See footnotes at end of table.
134
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average horns and earnings of production or nonsupervisory workers1 on private noinfarm payrolls by detailedIndustry—Continued
Industry2002
NAiCScode
Average hourly earnings
June2004
July2004
May2005
June2005 P
July2005
Average weekly earnings
June2004
July2004
May2005
June2005 P
July2005 P
Nondurable goods-ContinuedMiscellaneous coated and treated paperand paper bags
Stationery productsOther converted paper products..
Printing and related support activities.................Commercial lithograph printing
Commercial flexographic printing....,..........:.Commercial screen printingQuick printing..Manifold business forms printing........................Commercial gravure and misc. commercialprinting ..........................
Support activities for printing
Petroleum and coal products..........Petroleum refineriesAsphalt paving and roofing materials and otherpetroleum and coal products
ChemicalsBasic chemicals...
Other basic inorganic chemicals...................Resin, rubber, and artificial fibers.
Resin and synthetic rubberPlastics material and resin...
Agricultural chemicals.......Pharmaceuticals and medicines...............................
Pharmaceutical preparations...........Miscellaneous medicinal and biologicalproducts
Paints, coatings, and adhesives.......Paints and coatings
Soaps, cleaning compounds, and toiletries.....Soaps and cleaning compounds...........................
Polishes and other sanitation goods andsurface active agents .........................................
Toilet preparations......Other chemical products and preparations..............
Plastics and rubber products... ..........................Plastics products
Plastics packaging materials, film, and sheet.......Nonpackaging plastics film and sheet
Plastics pipe, fittings, and profile shapes..............Unlaminated plastics profile shapes..........Plastics pipe and pipe fittings
Foam productsPlastics bottles and laminated plastics plate,sheet, and shapes .................................................Other plastics products..........................................
Rubber products......Tires.....Other rubber products............................................
Rubber products for mechanical use.All other rubber products..........
Private service-providing...................................
Trade, transportation, and utilities...
Wholesale trade.,...
Durable goodsMotor vehicles and parts.
Motor vehicles..New motor vehicle parts..........................
Furniture and furnishings.......Home furnishings
Lumber and construction supplies..................Lumber and woodMasonry materials........Roofing, siding, and other constructionmaterials....
322223,4,5,63222332229
32332311323112323113323114323116323111,5,7,8932312
32432411
32412,9
32532513251832523252132521132533254325412
325411,3,4325532551325632561
325612,33256232593263261326113261133261232612132612232614,5
32613,63261932623262132629326291326299
42
4234231423114231242324232242334233142332
42333,9
$14.3215.5414.49
15.5617.0815.5912.3113.5815.23
15.0615.72
24.2228.30
18.53
19.1623.0624.0618.2219.7620.3918.9920.9321.31
19.4516.3916.9914.7514.09
13.7715.3817.07
14.5913.8616.6116.5213.4514.6112.3613.36
15.1313.1517.0521.2513.7413.7713.70
15.13
14.55
17.57
18.2416.0717.0215.9315.3516.1616.0915.8416.89
15.88
$14.1615.82'14,55
15.73•17.2015.9112.2613.62'15.58
15.5115.43
24.3228.36
18.63
19.3123.5824.1118.5920.1620.8719.3820.7721.17
19.3216.3916.7114.8914.44
14.2415.3317.03
14.6913.9316.6716.4413.5915.1312.2413.51
15.0813.1817.27215113.7513.7113.83
15.16
14.56
17.65
18.3216.0917.1915.8615.5816.5616.1115.9217.04
15.65
$14.0415.9814.69
15.5716.7416.1612.4014.4715.67
15.3914.68
24.5628.74
18.21
19.7123.8724.5618.7920.8421.6920.6421.3121.69
20.0316.7516.3315.4314.97
14.9215.9117.11
14.8814.0916.6616.2513.8514.8612.9114.28
15.2913.2717.4921.6014.0214.2213.69
15.64
14.93
18.06
18.8516.0716.6115.9515.1116.0816.8216.1018.47
17.11
$13.8616.1414.55
15.6416.8416.3112.4814.3415.94
15.4214.67
24.4728.80
18.54
19.6123.9024.3218.9221.2122.0821.2720.7821.05
19.8416.4616.5715.6915.35
15.2116.0217.00
14.8814.1116.7316.4913.9114.8013.0714.03
15.3213.3217.4721.4614.1914.4713.72
15.54
14.86
18.01
18.7815.9816.3915.9515.1415.9316.7416.3217.50
17.07
$15.75
24.55
19.92
14.90
15.61
14.95
18.19
$582.82613.83581.05
594.39662.70584.63470.24475.30580.26
581.32606.79
1,094.741,28199
835.70
818.131,035.39998.49796.21875.37909.39864.05887.43916.33
779.95703.13727.17587.05535.42
512.2464135703.28
599.65561.33689.32670.71546.07599.01496.87529.06
647.56527.32736.56962.63570.21587.98542.52
488.70
487.43
660.63
696.77588.16580.38602.15563.35551.06641.99625.68665.47
659.02
$580.56639.13600.92
600.89667.36604.58467.11480.79587.37
600.24597.14
1,118.721,307.40
853.25
814.881,051.87993.33791.93870.91920.37883.73870.26893.37
786.32680.19691.79597.09561.72
538.27633.13693.12
583.19546.06680.14665.82549.04600.66501.84545.80
640.90500.84716.71957.20533.50545.66515.86
492.70
492.13
665.41
897.99593.72587.90812.20584.25584.57646.01622.47688.42
662.00
$567.22664.77578.79
593.2265119612.46460.04503.56617.40
578.66582.80
1,119.941,345.03
801.24
831.761,066.99
982.40836.16950.30973.88934.99884.37895.80
849.27673.35700.56607.94582.33
598.29634.81696.38
590.74549.51664.73663.00570.62636.01515.11558.35
625.36506.91736.3396120556.59570.22533.91
509.86
50165
686.28
727.61596.20569.72615.67571.16580.49679.53653.66687.08
735.73
$584.89685.95577.64
592.76648.34626.30465.50504.77618.47
587.50553.06
1,115.831,307.52
849.13
827.541,049.21
984.96849.51973.54991.39950.77870.68882.00
835.2667157705.88616.6258177
58102652.01685.10
593.71554.52665.85669.49570.31630.48517.57561.20
625.06514.15730.25935.66570.44590.38539.20
503.50
497.81
677.18
717.4058167549.07607.70563.21559.14672.95657.70668.50
710.11
$596.93
1,114.57
824.69
579.61
507.33
502.32
682.13
See footnotes at end of table.
135
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
July2005 p
Average overtime hours
June2004
July2004
May2005
June2005 P
Wholesale trade-ContinuedCommercial equipment
Office equipmentComputer and softwareMedical equipmentMiscellaneous professional and commercialequipment
Metals and mineralsElectric goods
Electrical equipment and wiringElectric appliances and other electronic parts
Hardware and plumbingHardwarePlumbing equipmentHVAC and refrigeration equipment
Machinery and suppliesConstruction equipmentFarm and garden equipmentIndustrial machineryIndustrial suppliesService establishment equipment
Miscellaneous durable goodsRecyclable materialsToy, hobby, and other durable goods
Nondurable goodsPaper and paper products
Printing and writing paper and office suppliesIndustrial paper
Druggists' goodsApparel and piece goodsGrocery and related products..
General line groceryFruits and vegetables
Farm product raw materialsGrains and field beans
ChemicalsOther chemicals
PetroleumAlcoholic beverages
Beer and aleMisc. nondurable goods
Farm suppliesPaint, painting supplies, and other nondurablegoods
Electronic markets and agents and brokersBusiness to business electronic markets .Wholesale trade agents and brokers
Retail trade
Motor vehicle and parts dealersAutomobile dealers
New car dealersUsed car dealers
Other motor vehicle dealersMotorcycle, boat, and other vehicle dealers
Auto parts, accessories, and tire storesAutomotive parts and accessories storesTire dealers
Furniture and home furnishings storesFurniture storesHome furnishings stores
Floor covering storesOther home furnishings stores
Electronics and appliance storesAppliance, TV, and other electronics stores
Household appliance storesRadio, TV, and other electronics stores
Computer, software, camera, and photographysupply stores
4234423424234342345
42341,4,6,9423542364236142362,94237423714237242373,44238423814238242383423844238542394239342392,9
424424142411,24241342424243424442441424484245424514246424694247424842481424942491
42495,9
4254251142512
44,45
4414411441114411244124412244134413144132
442442144224422144229
44344311443111443112
44312,3
38.237.937.139.6
38.939.238.438.838.038.939.039.038.838.840.838.138.740.337.036.039.135.2
37.233.930.538.334.637.138.337.840.237.042.340.240.834.238.338.337.339.8
33.0
36.327.837.2
30.8
35.935.835.637.835.134.736.335.537.9
30.330.929.734.826.8
31.631.832.131.7
31.2
37.738.436.338.9
38.539.238.839.038.638.639.038.138.838.640.838.638.139.837.236.339.235.6
37.534.230.938.435.537.939.138.840.836.141.140.040.534.338.538.536.538.5
32.2
36.928.037.8
31.2
36.036.035.838.035.334.936.535.438.7
30.731.230.235.027.5
32.733.032.133.2
31.9
38.037.637.838.4
38.640.739.940.439.538.838.238.839.638.941.539.338.739.136.236.939.736.5
37.233.529.039.435.336.338.536.941.836.142.943.544.134.637.037.636.539.9
31.7
37.732.738.2
30.7
36.136.136.135.935.435.736.335.238.6
30.831.729.835.726.4
33.132.831.933.0
33.9
37.337.436.837.6
38.141.339.239.439.139.038.538.839.938.641.538.838.138.936.936.440.134.9
37.132.827.339.834.836.338.436.842.938.245.742.743.134.836.837.436.138.7
31.9
36.932.237.430.8
36.035.835.836.135.735.836.435.239.0
30.831.629.935.626.7
32.932.732.432.8
33.4
30.9
See footnotes at end of table.
136
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004 /004
June2005P 2005'
Average weekly earnings
June2004 2004
June2005P 2005 P
Wholesale trade-ContinuedCommercial equipment
Office equipmentComputer and softwareMedical equipmentMiscellaneous professional and commercialequipment
Metals and mineralsElectric goods
Electrical equipment and wiringElectric appliances and other electronic parts
Hardware and plumbing
Plumbing equipmentHVAC and refrigeration equipment
Machinery and suppliesConstruction equipmentFarm and garden equipmentIndustrial machineryIndustrial suppliesService establishment equipment
Miscellaneous durable goodsRecyclable materialsToy, hobby, and other durable goods
Nondurable goodsPaper and paper products
Printing and writing paper and office suppliesIndustrial paper
Druggists'goodsApparel and piece goods.Grocery and related products
General line groceryFruits and vegetables
Farm product raw materialsGrains and field beans
ChemicalsOther chemicals
PetroleumAlcoholic beverages
Beer and aleMisc. nondurable goods
Farm suppliesPaint painting supplies, and other nondurablegQOdS
Electronic markets and agents and brokersBusiness to business electronic marketsWholesale trade agents and brokers
Retail trade
Motor vehicle and parts dealersAutomobile dealers
Used car tes^ZZZZZZZZZZZZZOther motor vehicle dealers
Motorcycle, boat, and other vehicle dealersAuto parts, accessories, and tire stores
Automotive parts and accessories storesTire dealers
Furniture and home furnishings storesFurniture storesHome furnishings stores
Floor covering stores.Other home furnishings stores
Electronics and appliance storesAppliance, TV, and other electronics stores
Household appliance storesRadio, TV, and other electronics stores
Computer, software, camera, and photographysupply stores
4234423424234342345
42341,4,6,9423542364236142362,94237423714237242373,4423842381423824238342384
42394239342392,9
424424142411,24241342424243424442441424484245424514246424694247424842481424942491
42495,9
4254251142512
44,45
4414411441114411244124412244134413144132
442442144224422144229
44344311443111443112
44312,3
$22.6118.8227.5721.16
17.7016.5320.5719.8021.2016.2014.2416.8117.5317.6718.1614.2119.2116.4016.8314.5213.3616.89
15.7717.3016.6018.0118.8615.7015.3117.0313.6812.8912.9018.7119.0514.3617.9016.7713.5013.35
14.05
20.0315.9120.37
12.07
16.1617.8518.2713.4415.1714.5312.1011.8412.59
13.3914.3212.3214.6710.60
17.0515.9714.0316.50
19.66
$2*789.06
27.8921.30
17.6216.6520.5219.3921.4616.41f4.4017.291)7.44f7.8018.594.04
19.2916.6416.9514.6013.4117.15
5.9017.2316.9017.5618.9915.8015.3717.3814.0112.9212.9619.1919.5714.2818.1217.0413.6013.37
14.27
19.9615.8620.29
12.05
16.1617.8118.2513.2815.0014.3612.2511.9312.84
13.2814.1012.3314.8210.53
17.0416.0713.9716.62
19.45
$23.5619.1829.3021.07
18.5016.1921.4519.7822.8016.4314.3817.6117.0518.7419.9314.6220.2717.7617.1514.7513.5516.98
16.0517.2316.4617.9919.0717.3315.2917.2513.4913.1112.9218.8519.4214.1418.2817.3114.0213.99
14.86
20.4317.3820.69
12.4016.4518.0118.4113.7115.3514.7112.8012.4213.53
14.0114.5813.3116.1011.18
17.8816.1214.3916.52
21.82
$23.3719.2029.2820.64
18.1216.2921.5919.9622.8916.3514.5217.5616.7218.7220.1714.4320.3017.3817.2914.7213.5317.18
16.0116.9816.5517.3619.2617.6715.1517.2413.3012.9512.5519.0119.6513.8918.2717.2614.0414.07
14.72
20.5017.6620.75
12.33
16.3117.9418.3813.2814.8414.3812.7012.3813.30
14.2815.0213.3916.2911.17
18.1316.6314.8317.06
21.50
$12.39
$863.70713.28
1.022.85837.94
688.53647.98789.89768.24805.60630.18555.36655.59680.16685.60740.93541.40743.43660.92622.71522.72522.38594.53
586.64586.47506.30689.78652.56582.47586.37643.73549.94476.93545.67752.14777.24491.11685.57642.29503.55531.33
463.65
727.09442.30757.76
371.76
580.14639.03650.41508.03532.47504.19439.23420.32477.16
405.72442.49365.90510.52284.08
538.78507.85450.36523.05
613.39
$858.81731.90
1,012.41828.57
678.37652.68796.18756.21828.36633.43561.60658.75676.67687.08758.47541.94734.95662.27630.54529.98525.67610.54
596.25589.27522.21674.30674.15598.82600.97674.34571.61466.41532.66767.60792.59489.80697.62656.04496.40514.75
459.49
736.52444.08766.96
375.96
581.76641.16653.35504.64529.50501.16447.13422.32496.91
407.70439.92372.37518.70289.58
557.21530.31448.44551.78
620.46
$895.28721.17
1,107.54809.09
714.10658.93855.86799.11900.60637.48549.32683.27675.18728.99827.10574.57784.45694.42620.83544.28537.94619.77
597.06577.21477.34708.81673.17629.08588.67636.53563.88473.27554.27819.98856.42489.24676.36650.86511.73558.20
471.06
770.21568.33790.36
380.68
593.85650.16664.60492.19543.39525.15464.64437.18522.26
431.51462.19396.64574.77295.15
591.83528.74459.04545.16
739.70
$871.70718.08
1,077.50776.06
690.37672.78846.33786.42895.00637.65559.02681.33667.13722.59837.06559.88773.43676.08638.00535.81542.55599.58
593.97556.94451.82690.93670.25641.42581.76634.43570.57494.69573.54811.73846.92483.37672.34645.52506.84544.51
469.57
756.45568.65776.05
379.76
587.16642.25658.00479.41529.79514.80462.28435.78518.70
439.82474.63400.36579.92298.24
596.48543.80480.49559.57
718.10
$382.85
See footnotes at end of table.
1.37
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfamn payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
Average overtime hours
June2004
July2004
May2005
June2005 P
Retail trade-ContinuedBuilding material and garden supply stores
Buiiding material and supplies dealersHorne centersPaint and wallpaper storesHardware storesOther building material dealers
Lawn and garden equipment and supplies stores-Outdoor power equipment stores,Nursery, garden, and farm supply stores...
Food and beverage storesGrocery stores
Supermarkets and other grocery storesConvenience stores
Specialty food storesMeat markets and fish and seafood marketsFruit and vegetable marketsOther specialty food stores
Beer, wine, and liquor stores
Health and personal care storesPharmacies and drug storesOptical goods storesOther health and personal care stores
All other health and persona! care stores
Gasoline stationsGasoline stations with convenience stores.Other gasoline stations
Clothing and clothing accessories storesClothing stores
Men's clothing storesWomen's clothing storesFamily clothing storesClothing accessories stores.Other clothing stores
Shoe storesJewelry, luggage, and leather goods stores
Sporting goods, hobby, book, and music storesSporting goods and musical instrument stores
Sporting goods storesHobby, toy, and game storesSewing, needlework, and piece goods stores
Book, periodical, and music storesBook stores and news dealersPrerecorded tape, CD, and record stores....
General merchandise storesDepartment stores
Department stores, except discountDiscount department stores
Other general merchandise storesWarehouse clubs and supercentersAll other general merchandise stores
Miscellaneous store retailersFloristsOffice supplies, stationery, and gift stores
Office supplies and stationery storesGift, novelty, and souvenir stores
Used merchandise storesOther miscellaneous store retailers
Pet and pet supplies stores...All other miscellaneous store retailers
Nonstore retailersElectronic shopping and mail-order houses
Mail-order housesDirect selling establishments
Fuel dealersHeating oil dealers
44444414441144412444134441944424442144422
44544514451144512445244521,244523445294453
446446114461344619446199
4474471144719
4484481448114481244814448154481944824483
451451145111451124511345124512145122
452452145211145211245294529145299
453453145324532145322453345394539145399
4544541454113454345431454311
36.236.736.838.030.839.732.932.133.1
31.131.131.229.932.533.332.931.928.6
29.328.830.233.835.1
31.330.933.4
25.324.528.421.025.225.230.724.631.5
24.824.726.322.820.924.923.728.2
29.227.222.430.831.832.828.6
28.925.928.031.924.928.131.628.532.8
34.634.533.933.536.234.8
35.936.536.338.130.739.931.831.631.9
31.531.631.630.932.633.533.132.029.3
29.529.030.533.834.9
31.931.534.3
26.025.028.021.425.927.130.526.232.2
25.425.827.424.320.524.523.228.2
29.727.722.731.532.333.229.3
29.325.428.932.925.728.831.428.332.7
34.834.634.433.936.435.5
37.337.838.537.830.540.333.930.834.7
30.029.929.929.832.633.336.231.028.0
29.428.929.233.134.9
31.731.532.7
24.823.429.323.022.029.027.927.231.7
23.323.725.122.218.622.521.924.4
28.926.721.430.531.632.828.0
29.030.727.531.324.327.131.028.831.9
35.334.133.635.937.436.7
37.437.938.736.831.140.233.631.134.2
30.530.430.430.033.734.038.831.827.2
29.629.129.033.335.1
32.231.934.2
24.523.229.422.421.928.328.226.331.1
23.723.925.922.017.523.322.525.8
29.227.121.731.031.933.028.6
28.626.727.631.424.527.931.128.831.8
34.332.431.735.937.837.5
See footnotes at end of table.
138
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervfsory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 P
July2005p
Average weekly earnings
June2004
July2004
May2005
June2005 P
July2005 P
Retail trade-ContinuedBuilding material and garden supply stores....
Building material and supplies dealers..........Home centers.Paint and wallpaper stores..Hardware stores....Other building material dealers....
Lawn and garden equipment and supplies stores...Outdoor power equipment storesNursery, garden, and farm supply stores.....
Food and beverage stores.................................Grocery stores
Supermarkets and other grocery stores.....Convenience stores.
Specialty food storesMeat markets and fish and seafood markets........Fruit and vegetable markets...............Other specialty food stores............................
Beer, wine, and liquor stores....
Health and personal care storesPharmacies and drug stores.......Optical goods stores ,Other health and personal care stores.........
All other health and personal care stores.....
Gasoline stationsGasoline stations with convenience storesOther gasoline stations.....
Clothing and clothing accessories storesClothing stores
Men's clothing stores.Women's clothing stores......Family clothing stores........Clothing accessories stores.Other clothing stores.
Shoe stores..........Jewelry, luggage, and leather goods stores....
Sporting goods, hobby, book, and music storesSporting goods and musical instrument stores.......
Sporting goods storesHobby, toy, and game stores.......................Sewing, needlework, and piece goods stores
Book, periodical, and music storesBook stores and news dealers............Prerecorded tape, CD, and record stores.
General merchandise stores.Department stores.....
Department stores, except discount....Discount department stores..............
Other general merchandise stores.........Warehouse dubs and supercenters......All other general merchandise stores
Miscellaneous store retailers....FloristsOffice supplies, stationery, and gift stores...
Office supplies and stationery stores.......Gift, novelty, and souvenir stores
Used merchandise stores......Other miscellaneous store retailers.........
Pet and pet supplies stores...All other miscellaneous store retailers........
Nonstore retailersElectronic shopping and mail-order houses
Mail-order housesDirect selling establishments...............
Fuel dealers........Heating oil dealers
44444414441144412444134441944424442144422
44544514451144512445244521,244523445294453
446446114461344619446199
4474471144719
4484481448114481244814448154481944824483
451451145111451124511345124512145122
452452145211145211245294529145299
453453145324532145322453345394539145399
4544541454113454345431454311
$12.5912.7412.2113.3110.9514.5211.4914.3310.83
10.8110.7310.848.7011.0710.6110.1211.6412.00
13.6513.9313.0613.5315.21
8.758.4310.57
10.4210.1212.8811.099.4410.699.409.3612.83
10.4210.7911.0910.139.459.639.948.88
10.4710.9112.3610.1310.0010.00
10.979.6811.2712.859.658.3811.9410.3112.47
13.8113.3412.7314.9114.4615,57
$12.6612.7812.2613.3210.8314.6811.6914.3011.02
10.8310.7610.878.8111.0610.4910.0911.7311.94
13.7614.0513.0013.5615.27
8.788.4710.56
10.3310.0512.6711.059.4410.459.349.2712.75
10.3310.6710.9710.049.369.569.799.02
10.3310.7912.2610.009.829.819.86
11.059.7111.4413.219.648.3711.9410.2612.57
13.9013.5612.7814.8214.3115.35
$12.9913.1212.5513.8711.1615.0712.0315.1111.33
10.8810.8210.948.7911.1111.069.5811.7311.71
14.0314.3013.7714.5716.26
8.928.6210.72
11.1510.7813.6611.959.74
11.5410.3810.0914.02
10.4410.7710.8310.299.029.699.948.98
10.5610.8912.3810.1510.1910.1710.27
11.349.90
11.8813.6010.028.86
12.1310.7812.73
14.6114.6913.3214.7814.5415.49
$13.0113.1412.5113.9311.1015.2911.9615.0111.24
10.7510.7010.818.77
10.9110.679.39
11.6511.45
13.8714.1913.7514.0415.43
8.928.62
10.71
10.9710.5813.1211.719.52
11.3010.599.93
13.96
10.3610.6710.6610.219.099.629.938.80
10.5210.8512.2210.1710.1610.2010.03
11.309.89
11.6913.409.909.01
12.0710.9312.60
14.6914.8013.2914.8314.6215.56
$455.76467.56449.33505.78337.26576.44378.02459.99358.47
336.19333.70338.21260.13359.78353.31332.95371.32343.20
399.95401.18394.41457.31533.87
273.88260.49353.04
263.63247.94365.79232.89237.89269.39288.58230.26404.15
258.42266.51291.67230.96197.51239.79235.58250.42
305.72296.75276.86312.00318.00328.00285.71
317.03250.71315.56409.92240.29235.48377.30293.84409.02
477.83460.23431.55499.49523.45541.84
$454.49466.47445.04507.49332.48581.74371.74451.88351.54
341.15340.02343.49272.23360.56351.42333.98375.36349.84
405.92407.45396.50458.33532.92
280.08266.81362.21
268.58251.25354.76236.47244.50283.20284.87242.87410.55
262.38275.29300.58243.97191.88234.22227.13254.36
306.80298.88278.30315.00317.19325.69288.90
323.77246.63330.62434.61247.75241.06374.92290.36411.04
483.72469.18439.63502.40520.88544.93
$484.53495.94483,18524.29340.38607.32407.82465.39393.15
326.40323.52327.11261.94362.19368.30346.80363.63327.88
412.48413.27402.08482.27567.47
282.76271.53350.54
276.52252.25400.24274.85214.28334.66289.60274.45444.43
243.25255.25271.83228.44167.77218.03217.69219.11
305.18290.76264.93309.58322.00333.58287.56
328.86303.93326.70425.68243.49240.11376.03310.46406.09
515.73500.93447.55530.60543.80568.48
$486.57498.01484.14512.62345.21614.66401.86466.81384.41
327.88325.28328.62263.10367.67362.78364.33370.47311.44
410.55412.93398.75467.53541.59
287.22274.98366.28
268.77245.46385.73262.30208.49319.79298.64261.16434.16
245.53255.01276.09224.62159.08224.15223.43227.04
307.18294.04265.17315.27324.10336.60286.86
323.18264.06322.64420.76242.55251.38375.38314.78400.68
503.87479.52421.29532.40552.64583.50
See footnotes at end of table.
139
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfairm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005P
Average overtime hours
June2004
July2004
May2005
June2005P
July2005P
Retail trade-ContinuedLiquefied petroleum gas, bottled gas, andother fuel dealers
Transportation and warehousing
Truck transportationGeneral freight trucking
General freight trucking, localGeneral freight trucking, long-distance
General freight trucking, long-distance TLGeneral freight trucking, long-distance LTL
Specialized freight truckingUsed household and office goods moving...Other specialized trucking, localOther specialized trucking, long-distance
Transit and ground passenger transportationUrban transit systemsSchool and employee bus transportationOther ground passenger transportation
Pipeline transportation
Scenic and sightseeing transportation
Support activities for transportationSupport activities for air transportation
Airport operationsSupport activities for water transportation
Port and harbor operations....Marine cargo handling
Support activities for road transportationFreight transportation arrangementSupport activities for other transportation,including rail..
Couriers and messengersCouriers
Warehousing and storageGeneral warehousing and storageRefrigerated warehousing and storageMiscellaneous warehousing and storage
UtilitiesPower generation and supply....
Electric power generationFossil fuel electric power generation
Electric power transmission and distributionElectric bulk power transmission and control....Electric power distribution
Natural gas distributionWater, sewage and other systems
Information
Publishing industries, except InternetNewspaper, book, and directory publishers
Newspaper publishersPeriodical publishersBook publishers
Software publishers
Motion picture and sound recording industriesMotion picture and video industries
Motion picture and video productionMotion picture and video exhibition
Broadcasting, except InternetRadio and television broadcasting
RadiobroadcastingTelevision broadcasting
TelecommunicationsWired telecommunications carriersWireless telecommunications carriers
454312,9
48,49
484484148411484124841214841224842484214842248423
485485148544859
486
487
4881488114883488314883248844885
4882.9
4924921
493493114931249313,9
222211221112211122211222112122112222122213
51151115111151112511135112
51251215121151213
51551515151151512
51751715172
37.7
37.0
41.742.241.942.241.943.040.834.943.242.1
31.837.928.031.5
45.926.937.036.335.135.530.634.341.535.9
38.0
26.525.6
37.237.037.539.5
41.240.840.142.141.840.642.143.638.8
36.6
35.134.634.033.240.336.1
30.830.737.322.4
35.834.329.039.1
40.842.040.7
37.4
37.2
41.741.741.741.741.442.341.736.344.142.8
31.539.825.631.545.529.637.137.436.335.830.534.540.035.8
38.2
27.226.3
37.036.737.340.1
40.640.139.140.841.541.041.642.539.3
36.3
34.834.533.833.239.935.3
30.230.136.222.2
35.533.828.438.9
40.741.641.4
38.2
37.2
41.140.941.240.940.641.541.334.945.938.8
33.339.031.031.2
45.9
27.7
36.936.334.834.531.730.440.436.8
38.3
26.425.736.736.337.340.741.041.040.942.841.142.040.941.240.9
36.736.135.734.536.538.337.0
29.529.538.618.3
36.134.529.938.5
40.140.838.6
38.1
37.0
41.641.542.241.341.042.041.836.345.140.8
31.137.626.831.0
46.1
28.4
36.736.435.334.132.829.640.636.2
37.625.825.1
36.636.138.738.7
41.241.040.942.141.142.740.742.041.6
36.4
35.335.034.135.138.336.1
30.530.538.521.5
35.333.628.837.9
40.240.938.6
37.1
41.0
36.4
See footnotes at end of table.
140
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfamn payrolls by detailedindustry—-Continued
Industry2002
NAICScode
Average hourly earnings
June July2004 2004
May2005
June2005 P
July2005P
Average weekly earnings
June2004 2004
May2005
June2005P 2005P
Retail trade-ContinuedLiquefied petroleum gas, bottled gas, andother fuel dealers
Transportation and warehousing........
Truck transportationGeneral freight trucking
General freight trucking, local......General freight trucking, long-distance..
General freight trucking, long-distance TL.General freight trucking, long-distance LTL
Specialized freight trucking.......Used household and office goods movingOther specialized trucking, localOther specialized trucking, long-distance
Transit and ground passenger transportationUrban transit systems.School and employee bus transportationOther ground passenger transportation.....
Pipeline transportation
Scenic and sightseeing transportation
Support activities for transportationSupport activities for air transportation
Airport operationsSupport activities for water transportation...
Port and harbor operations.............Marine cargo handling
Support activities for road transportation....Freight transportation arrangement.Support activities for other transportation,including rail .....
Couriers and messengers.......... ....Couriers
Warehousing and storageGeneral warehousing and storageRefrigerated warehousing and storageMiscellaneous warehousing and storage
UtilitiesPower generation and supply...
Electric power generation..Fossil fuel electric power generation....
Electric power transmission and distribution.Electric bulk power transmission and control....Electric power distribution
Natural gas distribution.. .....................................Water, sewage and other systems......
information ....
Publishing industries, except InternetNewspaper, book, and directory publishers...
Newspaper publishersPeriodical publishers...Book publishers
Software publishers
Motion picture and sound recording industries....Motion picture and video industries
Motion picture and video production.Motion picture and video exhibition...
Broadcasting, except Internet.Radio and television broadcasting
RadiobroadcastingTelevision broadcasting ...
TelecommunicationsWired telecommunications carriers........Wireless telecommunications carriers
454312,9
48,49
484484148411484124841214841224842484214842248423
435485148544859
486
487
4884881488114883488314883248844885
4882,9
4924921
493493114931249313,9
222211221112211122211222112122112222122213
61151115111151112511135112
51251215121151213
51551515151151512
51751715172
$13.30
16.53
16.6317.2415.9717.6316.8219.4315.1414.1515.1415.97
12.8117.2212.5511.89
23.50
13.04
17.6915.5813.5626.5035.0827.9415.8716.79
13.7615.4716.17
15.0614.8316.5616.02
25.3426.2227.5726.9724.4227.0723.8925.0118.17
21.16
23.1417.6616.6921.2916.5036.22
18.8718.9425.12
19.7420.4919.2621.32
21.1922.8118.35
$13.21
16.58
16.6217.1415.7617.5616.7819.2815.4114.4615.5216.03
12.9117.5812.4211.87
23.91
12.88
17.5915.0313.2126.7235.2828.1715.9716.88
13.4915.2715.87
14.9814.8116.5015.25
25.4526.2427.7527.0224.3027.0923.7325.3818.43
21.29
23.5917.8016.6421.8816.6437.63
18.4818.5424.497.04
19.7320.5119.4221.26
21.3622.9818.48
$13.52
16.60
16.6317.1716.1517.4916.5019.7415.3114.8415.5515.17
12.8617.1612.6211.76
24.52
13.75
17.7214.9813.6927.0932.7631.3715.4616.99
14.1015.1715.61
14.9615.0914.8913.86
26.5427.4528.5628.0725.9428.0425.4826.9017.46
21.93
24.2718.5417.2822.2417.0537.97
19.0419.1423.907.26
20.9521.8820.5822.77
21.8123.4119.70
$13.58
16.66
16.5617.0815.8517.4716.5919.4415.3414.8315.5815.28
13.0817.1712.7711.73
23.98
13.25
17.6215.0013.8726.9732.6931.0915.6116.89
14.09
15.2215.68
15.0315.2014.6913.88
26.2127.2928.4928.0025.6727.4725.2726.0117.28
21.82
24.2418.4117.3421.6816.6938.11
17.4817.5222.657.09
21.3322.2821.2922.95
21.9723.4920.18
$16.77
26.64
22.03
$501.41
611.61
693.47727.53669.14743.99704.76835.49617.71493.84654.05672.34
407.36652.64351.40374.54
1,078.65
350.78
654.53565.55475.96940.75
1,073.45958.34658.61602.76
522.88409.96413.95
560.23548.71621.00632.79
1,044.011,069.781,105.561,135.441,020.761,099.041,005.771,090.44705.00
774.46
812.21611.04567.46706.83664.95
1,307.54
581.20581.46
154.11
706.69702.81558.54833.61
864.55958.02746.85
$494.05
616.78
693.05714.74657.19732.25
815.54642.60524.90(884.43886.08
406.67699.68317.95373.91
1,087.91
381.25
652.59562.12479.52956.58
1,076.04971.87638.80604.30
515.32415.34417.38
554.26543.53615.45611.53
1,033.271,052.221,085.031,102.421,008.451,110.69
987.171,078.65
724.30
772.83
820.93614.10562.43726.42663.94
1,328.34
558.10558.05886.54156.29
700.42693.24551.53827.01
869.35955.97765.07
$516.46
617.52
683.49702.25665.38715.34669.90819.21632.30517.92713.75588.60
428.24669.24391.22366.91
1,125.47
380.88
653.87543.77476.41934.61
1,038.49953.65624.58625.23
540.03
400.49401.18
549.03547.77555.40564.10
1,088.141,125.451,168.101,201.401,066.131,177.681,042.131,108.28714.11
804.83
876.15661.88596.16811.76653.02
1,404.89
561.68564.63922.54132.86
756.30754.86615.34876.65
874.58955.1760.42
$517.40
616.42 $622.17
688.90708.82668.87721.51680.19816.48641.21538.33702.66623.42
406.79645.59342.24363.63
1,105.48
376.30
646.65546.00489.61919.68
1,072.23920.26633.77611.42
529.78
392.68393.57
550.10548.72568.50537.16
1,079.85 1,092.241,118.891,165.241,178.801,055.041,172.971,028.491,092.42718.85
794.25
855.67644.35591.29760.97639.23
1,375.77
533.14534.36872.03152.44
752.95748.61613.15
801!
883.19960.74778.95
See footnotes at end of table.
141
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B -14. Average hours and earnings of production or nonsupervisoiy workers1 on private nonfann payrolls by detailedindustry-—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
June2005 P
July2005
Average overtime hours
June2004
July2004
May2005
June2005 P
July2005 P
Information-ContinuedCellular and other wireless carriers
Telecommunications resellersCable and other program distribution
ISPs, search portals, and data processingISPs and web search portalsData processing and related services
Other information services
Financial activities?.
Finance and insurance
Credit intermediation and related activitiesDepository credit intermediation
Commercial bankingSavings institutionsCredit unions and other depository creditintermediation
Nondepository credit intermediationCredit card issuingSales financingOther nondepository credit intermediation
Consumer lendingReal estate creditMiscellaneous nondepository creditintermediation
Activities related to credit intermediationMortgage and nonmortgage loan brokersOther credit intermediation activities
Securities, commodity contracts, investmentsSecurities brokerage
Securities and commodity contracts brokerageand exchangesOther financial investment activities
Portfolio managementInvestment advice
Insurance carriers and related activitiesInsurance carriers.....
Direct life and health insurance carriersDirect life insurance carriersDirect health and medical insurance carriers....
Direct insurers, except life and healthDirect property and casualty insurersDirect title insurance and other directinsurance carriers
Reinsurance carriersInsurance agencies, brokerages, and relatedservices
Insurance agencies and brokeragesOther insurance-related activities
Claims adjusting
Third-party administration of insurance funds-
Funds, trusts, and other financial vehicles
Other investment pools and funds
Real estate and rental and leasing
Reai estateLessors of real estate
Lessors of residential buildingsLessors of nonresidential buildingsLessors of other real estate property
Offices of real estate agents and brokersActivities related to real estate
Real estate property managersResidential property managersNonresidential property managers
Rental and leasing services
51721251735175
51851815182
519
5252252215221152212
52213,95222522215222252229522291522292
522293,4,852235223152239
52352312
5231,252395239252393
52452415241152411352411452412524126
524127,852413
52425242152429524291524292
5255259
53
53153115311153112531195312531353131531311531312
532
41.338.938.7
37.338.236.9
24.9
35.3
36.3
36.035.835.835.9
35.536.238.035.136.034.836.3
36.536.738.536.8
36.037.9
37.234.136.331.8
36.737.637.637.437.937.637.9
36.035.6
35.234.636.738.836.8
36.436.6
32.5
32.732.534.031.228.732.333.232.932.833.3
32.0
41.939.737.6
37.037.536.8
26.2
35.4
36.4
35.735.635.535.7
36.035.637.735.135.234.135.2
36.636.938.736.5
36.237.6
37.234.436.732.0
37.238.237.937.638.338.739.1
36.536.5
35.534.937.138.937.4
36.836.9
32.8
32.732.934.431627.531.833.132.933.032.7
32.8
38.639.939.8
37.939.537.3
25.4
36.5
37.5
37.336.837.135.6
36.438.339.238.138.235.838.9
37.937.138.736.4
37.238.6
38.535.037.631.6
37.939.139.039.838.139.239.2
39.039.6
36.035.437.838.937.6
38.538.3
33.6
33.532.833.432.931.033.634.334.033.435.2
33.7
38.839.840.5
36.838.136.3
25.2
35.9
36.8
36.736.236.435.6
35.937.938.437.637.835.638.7
36.436.538.235.4
36.438.1
37.834.136.730.8
37.138.337.737.637.839.039.3
37.637.9
35.034.437.037.337.2
36.836.3
33.5
33.333.133.833.329.132.933.633.432.834.8
33.9
35.9
See footnotes at end of table.
142
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nionfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 P
July2005
Average weekly earnings
June2004
July2004
June2005P
July2005 P
Information-ContinuedCeliuiar and other wireless carriers....
Telecommunications resellers ....Cable and other program distribution
ISPs, search portals, and data processing..ISPs and web search portalsData processing and related services......
Other information services.....
Financial activities?..
Finance and insurance........
Credit intermediation and related activitiesDepository credit intermediation
Commercial banking..Savings institutionsCredit unions and other depository creditintermediation.
Nondepository credit intermediationCredit card issuingSates financingOther nondepository credit intermediation..
Consumer lendingReal estate credit .................Miscellaneous nondepository creditintermediation
Activities related to credit intermediationMortgage and nonmortgage loan brokers...Other credit intermediation activities
Securities, commodity contracts, investmentsSecurities brokerage..
Securities and commodity contracts brokerageand exchangesOther financial investment activities
Portfolio management.........Investment advice
Insurance carriers and related activities.....Insurance carriers
Direct life and health insurance carriers.....Direct life insurance carriersDirect health and medical insurance carriers....
Direct insurers, except life and health.......Direct property and casualty insurersDirect title insurance and other directinsurance carriers
Reinsurance carriers.Insurance agencies, brokerages, and relatedservices
Insurance agencies and brokerages..........Other insurance-related activities
Claims adjustingThird-party administration of insurance funds...
Funds, trusts, and other financial vehicles
Other investment pools and funds.....
Real estate and rental and teasing...............
Real estateLessors of real estate....
Lessors of residential buildingsLessors of nonresidential buildings..Lessors of other real estate property..
Activities related to real estate...Real estate property managers
Residential property managersNonresidential property managers...
Rental and leasing services...
See footnotes at end of table.
51721251735175
51851815182
519
52
52252215221152212
52213,95222522215222252229522291522292
522293,4,®52235223152239
52352312
5231,252395239252393
52452415241152411352411452412524126
524127,852413
52425242152429524291524292
5255259
53
53153115311153112531195312531353131531311531312
532
$18.6021.7617.13
20.4221.4819.96
15.90
17.40
18.63
15.6513.7913.4315.58
13.7719.4314.2916.8721.1613.6023.60
18.6616.3718.3715.28
24.9422.14
i25.4624.01 ,26.5S.21.34
20.2521.0219.6619.9919.3122.6222.75
21.9120.59
18.8618.6619.4420.6318.76
22.7618.89
13.66
14.0012.9212.7214.1910.4114.1015.3415.3113.7519.03
12.77
$18.6722.1917.24
20.3721.3719.93
15.70
17.46
18.70
15.6713.8513.4815.62
13.9019.5414.3217.0421.2713.5423.77
18.7416.1617.9815.24
25.0122.03
25.4924.1326.3221.79
20.2921.0519.7820.1119.4322.5222.59
22.1520.34
18.9018.6719.5220.6418.86
22.3319.02
13.74
14.1413.0012.8514.1510.2714.2815.5315.4713.9819.15
12.74
$19.9122.1216.89
20.6822.4119.93
16.35
17.95
19.07
15.8314.1013.8015.32
14.4219.1716.0016.9420.1611.9322.47
19.0816.4219.0313.88
26.2625.34
27.1724.6126.4623.22
20.8421.8320.8721.3920.3023.0123.47
20.8419.17
19.0718.8019.8221.2618.80
20.7421.24
14.61
14.7913.6813.1815.7411.5315.2115.8515.8614.5118.77
13.95
$20.4822.1117.38
20.4922.2219.74
16.05
17.78
18.91
15.8014.0013.6415.47
14.3419.3515.6617.0920.4011.8822.76
19.1516.1618.6113.60
25.9824.89
26.8124.5126.4523.19
20.5721.5620.6220.9520.2822.6623.03
20.8519.05
18.8118.4319.8720.9819.18
20.9621.76
14.51
14.6113.6713.1715.9011.0814.8315.6115.5014.1118.42
14.08
$17.93
$768.18846.46662.93
761.67820.54736.52
395.91
614.22
676.27
563.40493.68480.79559.32
488.84703.37543.02592.14761.76473.28856.68
681.09600.78707.25562.30
897.84839.11
947.11818.74963.77678.61
743.18790.35739.22747.63731.85850.51862.23
788.76733.00
663.87645.29713.45800.44690.37
828.10691.37
443.95
457.80419.90432.48442.73298.77455.43509.29503.70451.00635.36
408.64
$782.27880.94648.22
753.69801.38733.42
411.34
618.08
680.68
559.42493.06478.54557.63
500.40695.62539.86598.10748.70461.71836.70
685.88596.30695.83556.26
905.36828.33
948.23830.07965.94697.28
754.79804.11749.66756.14744.17871.52883.27
808.48742.41
670.95651.58724.19802.90705.36
821.74701.84
450.67
462.38427.70442.04447.14282.43454.10514.04508.96461.34626.21
417.87
$768.53882.59672.22
783.77885.20743.39
415.29
655.18
715.13
590.46518.88511.98545.39
524.89734.21627.20645.41770.11427.09874.08
723.13609.18736.46505.23
976.87978.12
1,046.05861.35994.90733.75
789.84853.55813.93851.32773.43901.99920.02
812.76759.13
686.52665.52749.20827.01706.88
798.49813.49
490.90
495.47448.70440.21517.85357.43511.06543.66539.24484.63660.70
470.12
$794.62879.98703.89
754.03846.58716.56
404.46
638.30
695.89
579.86506.80496.50550.73
514.81733.37601.34642.58771.12422.93880.81
697.06589.84710.90481.44
945.67948.31
1,013.42835.79970.72714.25
763.15825.75777.37787.72766.58883.74905.08
783.96722.00
658.35633.99735.19782.55713.50
771.33789.89
486.09
486.51452.48445.15529.47322.43487.91524.50517.70462.81641.02
477.31
$643.69
143
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
July2005
Average overtime hours
June2004
July2004
May2005
June2005P
July2005 P
Financial activities-ContinuedAutomotive equipment rental and leasing
Passenger car rental and leasingConsumer goods rental
Video tape and disc rentalMiscellaneous consumer goods rental
General rental centersMachinery and equipment rental and leasing
Professional and business services
Professional and technical services
Legal servicesOffices of lawyersOther legal services
Accounting and bookkeeping servicesOffices of certified public accountantsTax preparation servicesPayroll servicesOther accounting services
Architectural and engineering servicesArchitectural servicesLandscape architectural servicesEngineering and drafting servicesBuilding inspection, surveying, and mappingservicesTesting laboratories
Specialized design servicesInterior design servicesGraphic design services
Computer systems design and related servicesCustom computer programming services....Computer systems design servicesOther computer-related services
Management and technical consulting services......Management consulting services
Administrative management consultingservicesHuman resource consulting servicesMarketing consulting servicesProcess and logistics consulting services....Other management consulting services
Environmental consulting servicesOther technical consulting services
Scientific research and development servicesPhysical, engineering, and biological research....Social science and humanities research
Advertising and related servicesAdvertising agenciesPublic relations agenciesDirect mail advertisingAdvertising material distribution and otheradvertising services
Other professional and technical servicesMarketing research and public opinion pollingPhotographic servicesVeterinary servicesMiscellaneous professional and technicalservices
Management of companies and enterprises
Offices of bank holding companies and ofother holding companiesManaging offices
Administrative and waste services
Administrative and support servicesOffice administrative servicesFacilities support servicesEmployment services
Employment placement agencies
53215321153225322353221,2,953235324
54
5411541115411954125412115412135412145412195413541315413254133,4
54135,6,754138541454141541435415541511541512541519541654161
5416115416125416135416145416185416254169541754171541725418541815418254186
54187,95419541915419254194
54193,9
55
551111,255111456
56156115612561356131
33.533.527.222.432.839.138.5
34.1
35.5
35.135.036.233.133.428.833.133.438.737.938.438.9
38.638.835.333.435.237.237.836.836.334.934.8
34.036.334.337.134.036.035.337.137.832.033.434.334.737.0
27.128.526.828.628.1
33.8
35.3
37.835.232.8
32.434.239.932.134.1
34.434.828.624.633.038.237.7
34.1
35.5
35.034.936.533.433.428.634.533.638.537.838.038.5
38.539.235.434.734.637.137.436.936.734.934.7
34.235.234.437.234.136.135.937.338.032.233.834.535.237.6
27.528.326.726.728.4
33.3
35.4
37.635.333.0
32.634.440.032.434.0
36.437.228.122.934.839.239.7
34.5
36.3
35.835.737.134.034.927.033.634.439.138.638.539.1
39.239.934.732.235.838.738.438.938.735.935.6
35.134.234.439.636.837.736.538.338.933.634.536.036.535.9
29.428.528.027.927.7
35.2
36.4
36.936.432.9
32.535.239.731.833.1
36.738.128.122.234.939.939.4
34.3
35.6
34.734.636.033.433.727.133.834.038.737.639.338.8
38.639.333.730.935.037.837.737.838.335.134.9
35.131.734.537.935.936.835.937.537.933.934.035.035.537.4
28.728.527.726.728.0
35.7
35.9
35.735.933.1
32.734.240.332.533.1
34.2
See footnotes at end of table.
144
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nionfarm payrolls by detailedIndustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 P
Ju9y2005
Average weekly earnings
June2004
July2004
May2005
June2005 P
Jul\
Financial activities-ContinuedAutomotive equipment rental and leasing...
Passenger car rental and leasing.....Consumer goods rental
Video tape and disc rental...Miscellaneous consumer goods rental.....
General rental centers..............Machinery and equipment rental and leasing..
Professional and business services.....................
Professional and technical services............
Legal services...Offices of lawyers.............Other legal services
Accounting and bookkeeping services..Offices of certified public accountants....Tax preparation services.........................Payroll servicesOther accounting services.....................
Architectural and engineering services..............Architectural servicesLandscape architectural services....................Engineering and drafting services.....Building inspection, surveying, and mapping
Testing laboratories...Specialized design services
Interior design services................................Graphic design services
Computer systems design and related services...Custom computer programming services...Computer systems design servicesOther computer-related services........... ...
Management and technical consulting services...Management consulting services
Administrative management consultingservicesHuman resource consulting services.....Marketing consulting services..........................Process and logistics consulting servicesOther management consulting services..........
Environmental consulting servicesOther technical consulting services.....
Scientific research and development servicesPhysical, engineering, and biological research..Social science and humanities research............
Advertising and related servicesAdvertising agencies...............Public relations agencies.......Direct mail advertisingAdvertising material distribution and otheradvertising services
Other professional and technical servicesMarketing research and public opinion polling...Photographic services...Veterinary services.............Miscellaneous professional and technicalservices
Management of companies and enterprises.
Offices of bank holding companies and ofother holding companiesManaging offices........
Administrative and waste services............
Administrative and support services................Office administrative services...............Facilities support services......Employment services.........
Employment placement agencies..................
53215321153225322353221,2,953235324
54
5411541115411954125412115412135412145412195413541315413254133,4
54135,6,754138541454141541435415541511541512541519541654161
5416115416125416135416145416185416254169541754171541725418541815418254186
54187,95419S41915419254194
54193,9
55
551111,255111456
56156115612561356131
$12.2912.6010.428.37
12.0414.8517.10
17.31
23.13
22.8123.4615.6517.3019.5912.9616.1515.1022.8721.8515.3024.82
17.1018.9618.4615.8619.3329.8931.1729.8327.9323.2323.36
23.8724.9420.1221.1325.8421.6623.8526.6527.0922.7918.5822.3221.6714.18
13.2815.5521.3612.3413.45
18.58
17.13
21.4916.9212.82
12.5916.8218.9412.8914.66
$12.4012.6910.358.35
11.9715.2316.95
17.35
23.23
22.9323.5616.0117.2919.7512.8715.8015.0123.0021.9415.4425.01
16.7319.3018.5515.7219.5230.1031.2330.2028.1223.3323.45
24.1124.6320.1621.6325.5321.6724.0826.7627.2122.7918.7722.5621.8214.08
13.2615.2720.2512.5913.26
18.46
17.05
21.5116.8412.85
12.6216.8318.9712.8614.86
$13.4413.5412.6311.7013.4014.7516.75
18.02
24.27
24.0024.5517.7017.8220.3212.7515.8016.0924.0323.4816.4625.84
18.5220.1520.0117.8720.2431.7533.8030.7329.6523.9823.79
24.1624.8521.0320.7327.2223.1926.5928.3228.7624.3319.3222.9222.6114.91
13.5915.5119.6513.7813.31
19.54
17.89
21.4017.7213.07
12.8617.6418.2113.0014.87
$13.7213.8312.3811.1513.2814.8417.25
17.85
24.02
23.8824.3917.9017.7020.1013.1015.9715.8923.6523.1416.0525.43
18.1820.0720.3618.1120.6831.3133.3830.2729.0123.8923.73
23.9225.1220.9420.8727.2023.0426.2528.1128.5723.9619.0922.4323.0914.97
13.4915.3419.2913.5013.24
19.43
17.81
21.0117.6613.10
12.8917.4318.0113.1014.86
$17.96
$411.72422.10283.42187.49394.91580.64658.35
590.27
821.12
800.63821.10566.53572.63654.31373.25534.57504.34885.07828.12587.52965.50
660.06735.65651.64529.72680.42
1,111.911,178.231,097.741t013.86810.73812.93
811.58905.32690.12783.92878.56779.76841.91988.72
1,024.00729.28620.57765.58751.95524.66
359.89443.18572.45352.92377.95
628.00
604.69
812.32595.58420.50
407.92575.24755.71413.77499.91
$426.56441.61296.01205.41395.01581.79639.02
591.64
824.67
802.55822.24584.37577.49659.65368.08545.10504.34885.50829.33586.72962.89
644.11756.56656.67545.48675.39
1,116.711,168.001,114.381,032.00
814.22813.72
824.56866.98693.50804.64870.57782.29864.47998.15
1,033.98733.84634.43778.32768.06529.41
364.65432.14540.68336.15376.58
614.72
603.57
808.78594.45424.05
411.41578.95758.80416.66505.24
$489.22503.69354.90267.93466.32578.20664.98
621.69
881.00
859.20876.44656.67605.88709.17344.25530.88553.50939.57906.33633.71
1,010.34
725.98803.99694.35575.41724.59
1,228.731,297.921,195.401,147.46860.88846.92
848.02849.87723.43820.91
1,001.70874.26970.54
1,084.661,118.76817.49666.54825.1825.27535.27
399.55442.04550.20384.46368.69
687.81
651.20
789.66645.01430.00
417.95620.93722.94413.40492.20
$503.52526.92347.88247.53463.47592.12679.65
612.26
855.11
828.64843.89644.40591.18677.37355.01539.79540.26915.26870.06630.77986.68
701.75788.75686.13559.60723.80
1,183.521,258.431,144.211,111.08838.54828.18
839.59796.30722.43790.97976.48847.87942.38
1,054.131,082.80812.24649.06785.05819.70559.88
387.16437.19534.33360.45370.72
693.65
639.38
750.06633.99433.6
421.50596.11725.80425.75491.87
$614.23
See footnotes at end of table.
145
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry-—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P
July2005
Average overtime hours
June2004 2004
May2005
June2005 P
July2005 P
Professional and businessservices-Continued
Temporary help servicesProfessional employer organizations
Business support servicesTelephone call centers
Telephone answering servicesTelemarketing bureaus
Business service centersCollection agenciesOther business support services
Travel arrangement and reservation servicesTravel agenciesOther travel arrangement services
Investigation and security servicesSecurity and armored car services
Security guards and patrols and armored carservices
Security systems servicesServices to buildings and dwellings
Exterminating and pest control servicesJanitorial servicesLandscaping servicesCarpet and upholstery cleaning servicesOther services to buildings and dwellings
Other support servicesPackaging and labeling services....Convention and trade show organizersAll other support services
Waste management and remediation services...Waste collectionWaste treatment and disposal
Nonhazardous waste treatment and disposal...Remediation and other waste services
Remediation services
Education and health services
Health care and social assistanceHealthcare
Ambulatory health care servicesOffices of physicians
Offices of physicians, except mental healthOffices of mental health physicians
Offices of dentistsOffices of other health practitioners
Offices of chiropractorsOffices of optometristsOffices of mental health practitionersOffices of specialty therapists.Offices of all other health practitioners
Outpatient care centersOutpatient mental health centersOutpatient care centers, except mental health
Miscellaneous outpatient care centersMedical and diagnostic laboratories
Medical laboratoriesHome health care servicesOther ambulatory health care services
Ambulance servicesAll other ambulatory health care services
Blood and organ banks
HospitalsGenera] medical and surgical hospitalsPsychiatric and substance abuse hospitalsOther hospitals
Nursing and residential care facilitiesNursing care facilitiesResidential mental health facilities
561325613356145614256142156142256143561445614956155615156159561656161
561612,356162561756171561725617356174561795619561915619256199
56256215622562212.3,9562956291
62621,2,3
621621162111162111262126213621316213262133621346213962146214262149621410,986215621511621662196219162199621991
622622162226223
62362316232
31.234.630.427.732.827.034.235.231.533.133.233.333.733.4
33.435.932.540.027.638.031.135.733.034.131.233.1
42.042.142.744.141.340.0
32.3
32.632.9
31.133.133.230.526.928.325.630.131.328.427.533.731.834.735.234.535.128.534.635.133.835.4
35.135.236.232.8
32.632.334.1
31.634.431,028.633.427.933.935.631.433.733.833.434.434.3
34.335.332.339.627.337.631.936.631.534.529.331.2
42.142.142.944.441.439.7
32.6
32.833.2
31.333.833.831.526.528.025.230.430.727.827.933.931.934.834.934.835.228.735.235.634.636.1
35.535.636.532.4
32.932.634.3
30.934.331.428.733.528.034.035.832.632.634.130.434.534.1
34.036.932.837.228.338.631.533.533.036.027.633.4
42.443.142.444.641.539.5
32.7
33.033.4
31.733.733.732.127.228.425.530.429.427.930.334.432.135.635.836.136.329.336.436.935.637.2
35.635.736.333.7
32.732.534.0
31.734.830.728.234.027.233.734.531.032.133.130.634.534.2
34.136.632.536.327.738.633.532.033.536.328.433.8
42.343.142.644.540.938.6
32.5
32.733.1
31.333.233.231.527.028.226.329.728.827.630.234.132.135.134.936.036.428.936.137.134.636.6
35.635.735.933.4
32.332.033.8
32.6
See footnotes at end of table.
146
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 153: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/153.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 P|
July2005
Average weekly earnings
June2004
July2004
May2005
June2005 P
July2005 P
Professional and businessservices-Continued
Temporary help servicesProfessional employer organizations .
Business support services.....Telephone call centers
Telephone answering servicesTelemarketing bureaus
Business service centers....Collection agenciesOther business support services
Travel arrangement and reservation servicesTravel agenciesOther travel arrangement services
Investigation and security servicesSecurity and armored car services
Security guards and patrols and armored carservices.....
Security systems services..Services to buildings and dwellings
Exterminating and pest control servicesJanitorial servicesLandscaping servicesCarpet and upholstery cleaning services.......Other services to buildings and dwellings
Other support servicesPackaging and labeling services.....Convention and trade show organizersAll other support services
Waste management and remediation servicesWaste collectionWaste treatment and disposal
Nonhazardous waste treatment and disposal...Remediation and other waste services.... .
Remediation services
Education and health services..
Health care and social assistance..Health care
Ambulatory health care servicesOffices of physicians
Offices of physicians, except mental healthOffices of mental health physicians
Offices of dentists ...Offices of other health practitioners
Offices of chiropractorsOffices of optometristsOffices of mental health practitionersOffices of specialty therapistsOffices of all other health practitioners
Outpatient care centersOutpatient mental health centersOutpatient care centers, except mental health....
Miscellaneous outpatient care centersMedical and diagnostic laboratories
Medical laboratories..............Home health care services...Other ambulatory health care services
Ambulance services....... ...All other ambulatory health care services
Blood and organ banks
HospitalsGeneral medical and surgical hospitalsPsychiatric and substance abuse hospitals..Other hospitals..
Nursing and residential care facilities..Nursing care facilitiesResidential mental health facilities....
561325613356145614256142156142256143561445614956155615156159561656161
561612,356162561756171561725617356174561795619561915619256199
56256215622562212,3,9562956291
62621,2,3
621621162111162111262126213621316213262133621346213962146214262149621410,986215621511621662196219162199621991
622622162226223
62362316232
$12.0614.8512.3310.5513.0010.1213.2612.9215.2913.8115.1012.2111.3210.66
10.2515.7811.1215.669.45
11.8312.1213.6513.6810.8419.4713.11
17.2615.3417.5916.4519.2822.31
16.10
16.3617.2317.3718.2918.3316.0818.8916.0112.6113.0716.5018.3417,7418.4015.5819.6619.2718.2717.5714.4014.2212.8916.3715.08
20.1620.2717.0219.08
12.0212.7211.06
$11.9515.0112.4610.6512.9510.2513.1213.2815.2913.8715.1212.3211.4810.79
10.3716.3911.1616.189.49
11.8312.0113.2813.8210.6819.6013.53
17.2915.5117.5216.3119.3022.65
16.23
16.4917.35
17.5218.5418.5816.2218.9716.0312.6413.0216.3218.3717.9618.6015.6719.8719.3718.2817.5514.4414.3113.0016.3815.07
20.3020.4017.0319.34
12.0712.8011.06
$11.9315.5813.3311.2913.2710.9213.2314.2415.4414.4915.6612.8511.4510.65
10.2116.3011.4317.139.66
12.2012.1614.1314.0612.1018.4613.77
17.4315.4517.9816.2719.6423.37
16.55
16.9217.85
17.7718.8218.8616.6819.2016.7013.2613.5816.8719.4317.7118.8216.2419.9518.9818.7917.7014.3414.9213.5217.0715.35
21.1421.2417.6720.40
12.2813.0111.19
$12.1315.4313.2611.2013.2410.7913.0114.0915.5414.5415.6713.2711.4710.64
10.1716.5111.4316.879.70
12.1511.8713.9214.0912.4218.4813.79
17.4615.6318.0416.3619.3822.73
16.59
16.9317.85
17.7418.7518.8016.3219.2916.5713.0513.6616.8319.2717.6118.8116.1519.9918.7518.6617.4914.3415.1013.7917.1615.35
21.1221.2117.8520.52
12.3113.0311.20
$16.73
$376.27513.81374.83292.24426.40273.24453.49454.78481.64457.11501.32406.59381.48356.04
342.35566.50361.40626.40260.82449.54376.93487.31451.44369.64607.46433.94
724.92645.81751.09725.45796.26892.40
520.03
533.34566.87
540.21605.40608.56490.44508.14453.03322.82393.41516.45520.86487.85620.08495.44682.20678.30630.32616.71410.40492.01452.44553.31533.83
707.62713.50616.12625.82
391.85410.86377.15
$377.62516.34386.26304.59432.53285.98444.77472.77480.11467.42511.06411.49394.91370.10
355.69578.57360.47640.73259.08444.81383.12486.05435.33368.46574.28422.14
727.91652.97751.61724.16799.02899.21
529.10
540.87576.02
548.38626.65628.00510.93502.71448.84318.53395.81501.02510.69501.08630.54499.87691.48676.01636.14617.76414.43503.71462.80566.75544.03
720.65726.24621.60626.62
397.10417.28379.36
$368.64534.39418.56324.02444.55305.76449.82509.79503.34472.37534.01390.64395.03363.17
347.14601.47374.90637.24273.38470.92383.04473.36463.98435.60509.50459.92
739.03665.90762.35725.64815.06923.12
541.19
558.36596.19
563.31634.23635.58535.43522.24474.28338.13412.83495.98542.10536.61647.41521.30710.22679.48678.32642.51420.16543.09498.89607.69571.02
752.58758.27641.42687.48
401.56422.83380.46
$384.52536.96407.08315.84450.16293.49438.44486.11481.74466.73518.68406.06395.72363.89
346.80604.27371.48612.38268.69468.99397.65445.44472.02450.85524.83466.10
738.56673.65768.50728.02792.64877.38
539.18
553.61590.84
555.26622.50624.16514.08520.83467.27343.22405.70484.70531.85531.82641.42518.42701.65654.38671.76636.64414.43545.11511.61593.74561.81
751.87757.20640.82685.37
397.61416.96378.56
$545.40
See footnotes at end of table.
1.47
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 154: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/154.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
May2005
June2005 P
July2005P
Average overtime hours
June2004 2004
May2005
June2005 P
July2005P
Education and health services-ContinuedResidential mental retardation facilitiesResidential mental and substance abuse care
Community care facilities for the elderlyContinuing care retirement communitiesHomes for the elderly
Other residential care facilities
Social assistanceIndividual and family services
Child and youth servicesServices for the elderly and disabledOther individual and family services
Emergency and other relief servicesCommunity food servicesCommunity housing, emergency, and reliefservices
Vocational rehabilitation servicesChild day care services
Leisure and hospitality
Arts, entertainment, and recreation
Performing arts and spectator sportsPerforming arts companies
Musical groups and artistsTheater, dance, and other performing artscompanies
Spectator sportsRacetracks
Arts and sports promoters and agents andmanagers for public figuresIndependent artists, writers, and performers
Museums, historical sites, zoos, and parksMuseumsZoos, botanical gardens, nature parks, andsimilar institutions
Amusements, gambling, and recreationAmusement parks and arcades
Amusement and theme parksGambling industries
Casinos, except casino hotelsOther gambling industries
Other amusement and recreation industriesGolf courses and country clubsSkiing facilitiesMarinasFitness and recreational sports centersBowling centersAll other amusement and recreation industries....
Accommodations and food services?.
AccommodationsTraveler accommodations and other longer-termaccommodations
Hotels and motels, except casino hotelsMiscellaneous traveler accommodations
RV parks and recreational campsRV parks and campgroundsRecreational and vacation camps
Food services and drinking placesFull-service restaurantsLimited-service eating places
Limited-service restaurants.CafeteriasSnack and nonalcoholic beverage bars.....
Special food servicesFood service contractorsCaterers and mobile food services
623216232262336233116233126239
6246241624116241262419624262421
62422,362436244
71
711711171113
71111,2,97112711212
7113,47115
71271211
71213,9
713713171311713271321713297139713917139271393713947139571399
72
721
721172111721197212721211721214
7227221722272221172221272221372237223172232,3
34.134.132.132.431.833.5
30.330.930.731.330.429.528.4
29.829.630.1
25.9
26.2
25.923.915.5
28.325.227.7
26.335.0
27.828.0
29.7
26.231.030.934.537.426.824.428.525.930.620.923.125.5
25.8
29.8
29.829.227.230.429.131.7
25.025.324.924.926.124.224.325.122.4
34.633.632.332.532.233.8
30.530.629.331.330.429.928.1
30.429.830.8
26.3
26.8
24.722.212.1
28.324.226.8
25.433.6
28.828.2
31.8
27.132.432.335.838.728.025.229.129.831.621.623.327.2
26.2
30.5
30.429.826.732.831.833.7
25.325.725.325.326.624.525.026.122.4
33.934.131.831.731.834.6
30.930.730.130.731.030.829.6
31.130.331.3
26.0
25.8
28.323.215.0
28.330.027.8
30.333.4
27.728.3
28.8
25.023.723.035.137.229.623.928.624.531.319.422.927.8
26.1
30.4
30.529.924.927.527.028.4
25.225.724.824.927.123.325.526.423.1
33.833.831.431.631.233.9
30.530.429.530.530.730.229.0
30.530.130.8
26.1
26.4
27.421.113.2
26.429.026.9
30.233.7
27.727.5
30.1
26.026.325.835.437.829.224.930.123.632.420.322.728.3
26.0
30.4
30.429.824.927.826.329.6
25.125.424.925.026.723.725.726.623.6
26.4
See footnotes at end of table.
148
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupemsory workers1 on private nonfarm payrolls by detailedIndustry—Continued
industry2002
NAICScode
Average hourly earnings
June2004 2004
May2005
June2005P
July2005
Average weekly earnings
June2004
July2004
May2005
June2005 P
July2005 P
Education and health services-ContinuedResidential mental retardation facilitiesResidential mental and substance abuse care-
Community care facilities for the elderly ..Continuing care retirement communitiesHomes for the elderly
Other residential care facilities
Social assistanceIndividual and family services
Child and youth servicesServices for the elderly and disabled.Other individual and family services
Emergency and other relief services...Community food services..Community housing, emergency, and reliefservices
Vocational rehabilitation servicesChild day care services
Leisure and hospitality
Arts, entertainment, and recreation..
Performing arts and spectator sportsPerforming arts companies
Musical groups and artistsTheater, dance, and other performing artscompanies
Spectator sportsRacetracks
Arts and sports promoters and agents andmanagers for public figuresIndependent artists, writers, and performers....
Museums, historical sites, zoos, and parksMuseumsZoos, botanical gardens, nature parks, andsimilar institutions
Amusements, gambling, and recreation....Amusement parks and arcades............
Amusement and theme parksGambling industries
Casinos, except casino hotels..Other gambling industries..
Other amusement and recreation industriesGolf courses and country clubs.......Skiing facilities.. ...MarinasFitness and recreational sports centersBowling centersAll other amusement and recreation industries....
Accommodations and food services?............
AccommodationsTraveler accommodations and other longer-termaccommodations
Hotels and motels, except casino hotelsMiscellaneous traveler accommodations........
RV parks and recreational campsRV parks and campgrounds....Recreational and vacation camps.....
Food services and drinking placesFull-service restaurantsLimited-service eating places
Limited-service restaurantsCafeteriasSnack and nonalcoholic beverage bars
Special food servicesFood service contractors.......Caterers and mobile food services
623216232262336233116233126239
6246241624116241262419624262421
62422,362436244
71
711711171113
71111,2,97112711212
7113,47115
71271211
71213,9
7137131713117132713217132971397139171392713937139471395
71399
72
721721172111721197212721211721214
7227221722272221172221272221372237223172232,3
$10.7411.7810.8411.6210.1012.28
10.9412.0713.5910.8013.1312.4711.06
12.8610.61
9.59
8.79
11.3416.0616.6319.08
15.9313.4411.34
17.4419.96
12.2713.77
10.46
10.197.607.4110.8410.9110.6010.6910.3612.3612.0011.318.99
9.89
8.31
10.4310.5010.2110.008.858.489.20 |
7.79 I7.907.297.217.59 I7.8610.6410.6710.56
$10.7111.8810.9011.7310.1212.28
10.9912.1213.4310.8813.2912.8311.56
13.1610.73
9.52
8.79
11.2016.2716.2519.33
15.4413.9011.55
17.8920.09
12.0413.65
10.26
10.097.567.4210.7710.8710.4210.5710.3011.6611.6711.228.76
9.64
8.32
10.3110.4210.089.808.528.328.68
7.827.927.327.257.687.8010.6510.6710.59
$10.8212.0311.2112.0610.4112.53
11.3112.4613.9411.1313.5813.2911.81
13.7010.5910.15
9.08
12.82
18.7021.0625.81
19.4917.4011.63
18.7418.07
13.4814.40
12.88
11.059.729.68
10.8410.8610.7711.3210.7511.4313.0812.088.99
11.45
8.47
10.73
10.7410.4610.3310.329.51
11.91
7.948.077.447.377.688.06
10.3510.0911.09
$10.8512.0011.2612.0610.5012.55
11.2512.4313.9411.1713.4713.0611.55
13.4910.5910.02
9.02
12.12
17.9219.4924.76
17.6916.7911.46
13.4517.69
12.9814.02
12.20
10.659.279.21
10.8710.8910.8010.8810.3311.2513.1111.389.04
11.14
8.45
10.61
10.6310.3310.279.938.94
10.93
7.938.077.447.377.708.03
10.3010.0610.96
$8.98
$366.23401.70347.96376.49321.18411.38
331.48372.96417.21338.04399.15367.87314.10
383.23314.06288.66
227.66
297.11
415.95397.46295.74
450.82338.69314.12
458.67698.60
341.11385.56
310.66
266.98235.60228.97373.98408.03284.08260.84295.26320.12367.20236.38207.67252.20
214.40
310.81
312.90298.13272.00269.04246.77291.64
194.75199.8718152179.53198.10190.21258.55267.82238.54
$370.57399.17352.07381.23325.86415.06
335.20370.87393.50340.54404.02383.62324.84
400.06319.75293.22
231.18
300.16
401.87360.75233.89
436.95336.38309.54
454.41675.02
346.75384.93
326.27
273.44244.94239.67385.57420.67291.76266.36299.73347.47368.77242.35204.11262.21
217.98
314.46
316.77300.38261.66279.46264.58292.52
107.85203.54185.20133.43204.29181.10266.25278.49237.22
$366.80410.22356.48382.30331.04433.54
349.48382.52419.59341.69420.98409.33349.58
426.07320.88317.70
236.08
330.76
529.21488.59387.15
551.57522.00323.31
567.82603.54
373.40407.52
370.94
276.25230.36222.64380.48403.99318.79270.55307.45280.04409.40234.35205.87318.31
221.07
326.19
327.57312.75257.22283.80256.77338.24
200.09207.40184.51183.51208.13187.80263.93266.38256.18
$366.73405.60353.56381.10327.60425.45
343.13377.87411.23340.69413.53394.41334.95
411.45318.76308.62
235.42
319.97
491.01411.24326.83
467.02486.91308.27
557.19596.15
359.55385.55
367.22
276.90243.80237.62384.80411.64315.36270.91310.93265.50424.76231.01205.21315.26
219.70
322.54
323.15307.83255.72276.05235.12323,53
199.04204.98185.26184.25205.59190.31264.71267.60258.66
$237.07
See footnotes at end of table.
149
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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ESTABLISHMENT DATAHOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailedindustry—Continued
Industry2002
NAICScode
Average weekly hours
June2004
July2004
May2005
June2005 P 2005'
Average overtime hours
June2004
July2004
May2005
June2005P
July2005 P
Leisure and hospitality-Continued
Drinking places, alcoholic beverages
Other services
Repair and maintenanceAutomotive repair and maintenance
Automotive mechanical and electrical repair...General automotive repairAutomotive exhaust system repair.Other automotive mechanical and elec.repair. -
Automotive body, interior, and glass repairAutomotive body and interior repairAutomotive glass replacement shops
Other automotive repair and maintenanceCar washesAuto oil change shops and all other autorepair and maintenance
Electronic equipment repair and maintenanceComputer and office machine repairMiscellaneous electronic equipment repairand maintenance
Commercial machinery repair and maintenanceHousehold goods repair and maintenance
Personal and laundry servicesPersonal care services
Hair, nail, and skin care services?.Barber shops and beauty salons
Other personal care servicesDeath care services
Funeral homes and funeral servicesCemeteries and crematories
Dry-cleaning and laundry servicesCoin-operated laundries and dry cleanersDry-cleaning and laundry services, exceptcoin-operated.....Linen and uniform supply
Linen supplyIndustrial launderers
Other personal servicesPhotofinishingParking lots and garages
Membership associations and organizationsGrantmaking and giving services
Grantmaking foundationsOther grantmaking and giving services
Social advocacy organizationsHuman rights organizationsEnvironment, conservation, and other socialadvocacy organizations
Civic and social organizationsProfessional and similar organizations..
Business associationsProfessional organizationsLabor unions and similar labor organizationsMiscellaneous professional and similarorganizations
7224
811811181111811111811112
8111188111281112181112281119811192
81119188112811212
811211,3,981138114
812812181211812111,28121981228122181222812381231
812328123381233181233281298129281293
81381328132118132198133813311
813312,981348139813918139281393
81394,9
22.730.936.135.537.336.839.0
38.938.038.137.330.127.6
34.938.237.7
38.739.135.3
29.025.626.426.321.529.929.830.132.224.5
31.436.135.836.632.135.033.3
29.730.727.131.530.427.3
31.521.631.432.933.931.8
29.6
22.3
31.1
36.335.737.236.939.3
38.038.238.437.330.628.4
34.738.337.6
38.939.334.8
29.025.626.426.221.629.929.630.832.024.8
30.736.435.537.832.534.833.630.030.127.130.130.727.7
31.823.431.932.533.633.1
30.4
23.4
31.0
35.735.136.836.436.2
39.237.637.836.330.128.0
34.137.737.2
38.238.434.7
29.025.526.226.022.230.029.531.733.026.2
31.737.337.137.731.834.633.6
30.030.626.431.931.628.3
32.521.432.533.534.632.0
31.6
23.2
31.0
36.135.637.236.837.6
39.437.838.235.430.829.0
34.237.336.8
37.739.035.0
28.725.025.925.721.130.029.631.233.126.2
32.037.336.838.131.037.331.9
29.930.327.630.629.927.4
30.622.831.933.034.231.8
30.6
31.1
See footnotes at end of table.
150
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 157: emp_200508](https://reader031.vdocuments.us/reader031/viewer/2022013105/55cf97f1550346d0339493d7/html5/thumbnails/157.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
8-14, Average hours and earnings of production or nonsupamsory workers1 on private monfarm payrolls by detailedindustry—-Continued
Industry2002
NAICScode
Average hourly earnings
June2004
July2004
May2005
June2005 p
July2005
Average weekly earnings
June2004
July2004
May2005
June2005 P
July2005 P
Leisure and hospitality-ContinuedDrinking places, alcoholic beverages...
Other services. ,
Repair and maintenanceAutomotive repair and maintenance.....
Automotive mechanical and electrical repair...General automotive repairAutomotive exhaust system repairOther automotive mechanical and elec.repair.......
Automotive body, interior, and glass repairAutomotive body and interior repairAutomotive glass replacement shops
Other automotive repair and maintenance ..Car washesAuto oil change shops and all other autorepair and maintenance
Electronic equipment repair and maintenanceComputer and office machine repairMiscellaneous electronic equipment repairand maintenance
Commercial machinery repair and maintenance.....Household goods repair and maintenance.........
Personal and laundry services....Personal care services..
Hair, nail, and skin care services?.Barber shops and beauty salons.........
Other personal care servicesDeath care services..
Funeral homes and funeral servicesCemeteries and crematories.
Dry-cleaning and laundry services....Coin-operated laundries and dry cleaners.....Dry-cleaning and laundry services, exceptcoin-operatedLinen and uniform supply
Linen supplyIndustrial launderers......
Other personal servicesPhotofinishingParking lots and garages..
Membership associations and organizations....Grantmaking and giving services
Grantmaking foundationsOther grantmaking and giving services
Social advocacy organizationsHuman rights organizationsEnvironment, conservation, and other socialadvocacy organizations ..................
Civic and social organizations.....Professional and similar organizations
Business associationsProfessional organizationsLabor unions and similar labor organizationsMiscellaneous professional and similarorganizations
7224
811811181111811111811112
8111188111281112181112281119811192
81119188112811212
811211,3,981138114
812312181211812111,28121981228122181222812381231
8123281233 •81233181233281298129281293
81381328132118132198133813311
813312,981348139813918139281393
81394,9
$7.69
13.92
14.3113.5914.5814.8712.45
13.1915.5715.8813.539.088.55
9.8216.3014.83
17.5116.6114.97
11.7712.3712.6412.8410.8014.6615.6312.1410.029.51
9.0411.4311.3211.6011.7713.9210.16
14.6618.1820.5815.4513.8314.13
13.7410.4217.2217.1720.5124.46
11.32
$7.81
13.88
14.3613.6114.6514.9112.73
13.2315.6215.9513.549.018.43
9.8616.4214.93
17.7016.7714.93
11.7012.1912.4012.6010.8814.9215.8712.3410.019.47
8.9911.4311.3911.5011.6713.8010.14
14.5718.4420.7015.7413.7513.67
13.7710.1017.1717.7420.7424.25
11.33
$7.91
14.25
14.6814.0015.0015.2413.21
13.3916.3116.5714.469.238.62
10.1816.5114.76
18.0916.7715.13
11.9512.7112.8813.1111.8415.2315.8813.3910.209.27
9.1511.8411.5612.2711.4014.149.88
15.0418.7621.2016.6513.8314.18
13.7411.3218.4719.8421.9325.04
11.88
$7.75
14.15
14.7214.0615.0315.2813.60
13.3316.4416.6814.669.248.65
10.1916.5714.97
18.0116.7015.38
11.8812.7012.9013.1311.5715.1315.8912.9910.089.15
9.1211.6011.4111.8911.3414.269.83
14.8518.6420.7016.8613.8114.13
13.7210.7317.9018.9921.4525.09
11.65
$14.14
$174.56
430.13
516.59482.45543.83547.22485.55
513.09591.66605.03504.67272.71235.98
342.72622.66559.09
677.64649.45528.44
341.33316.67333.70337.69232.20438.33465.77365.41322.64233.00
283.86412.62405.26424.56377.82487.20338.33
435.40558.13557.72486.68420.43385.75
432.81225.07540.71564.89695.29777.83
335.07
$174.16
431.67
521.27485.88544.98550.18500.29
502.74596.68612.48505.04275.71239.41
342.14623.89561.37
688.53659.06§19.56
339.30312.06327.36330.12235.01446.11469.75380.07320.32234.86
275.99416.05404.35434.70379.28480.24340.70
437.10555.04560.97473.77422.13378.66
437.89236.34547.72576.55
802.68
344.43
$185.09
441.75
524.03491.40552.00554.74478.20
524.89613.26626.35524.90277.82241.36
347.14622.43549.07
691.04643.97525.01
346.55324.11337.46340.86262.85456.90468.46424.46336.60242.87
290.06441.63428.83462.53362.52489.24331.97
451.20574.06559.68531.14437.03401.29
446.55242.25600.28664.64758.78801.28
375.41
$179.80
438.65
531.39500.54559.12562.30511.36
525.20621.43637.18518.96284.59250.85
348.50618.06550.90
678.98651.30538.30
340.96317.50334.11337.44244.13453.90470.34405.29333.65239.73
291.84432.68419.89453.01351.54531.90313.58
444.02564.79571.32515.92412.92387.16
419.83244.64571.01626.67733.59797.86
356.49
$439.75
1 Data relate to production workers in natural resources and mining andmanufacturing, construction workers in construction, and nonsupervisoryworkers in the service-providing industries.
2 Excludes nonoffice commissioned real estate sales agents.3 Wage and salary payments; tips excluded.- Data not available.
p = preliminary.NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduced with the release ofJanuary 2006 estimates, all unadjusted data from April 2004 forwardare subject to revision
151
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ESTABLISHMENT DATAEARNINGSNOT SEASONALLY ADJUSTED
B-15. Average hourly earnings, excluding overtime1 of production workers on manufacturing payrolls
IndustryJune2004
July2004
May2005
June2005p
July2005p
Manufacturing
Durable goodsWood productsNonmetallic mineral productsPrimary metalsFabricated metal products .MachineryComputer and electronic productsElectrical equipment and appliances .Transportation equipmentFurniture and related productsMiscellaneous manufacturing
Nondurable goodsFood manufacturingBeverages and tobacco productsTextile millsTextile product millsApparelLeather and allied productsPaper and paper productsPrinting and related support activitiesPetroleum and coal productsChemicalsPlastics and rubber products
$15.23
15.8212.3015.1217.1614.4215.6316.4714.1920.0012.5113.28
14.2512.2918.1911.4710.879.34
11.2016.8414.9322.2518.1013.83
$15.20
15.7512.3715.2017.3414.5015.7916.5814.2319.6612.5213.37
14.3412.3018.1311.4411.049.44
11.3916.8715.0622.2618.2713.95
$15.67
16.3612.5415.4117.6214.8816.0017.7214.4620.6512.9513.54
14.5112.3117.9311.8310.949.87
11.1616.9515.0222.4918.7114.20
$15.65
16.3812.4215.5517.6514.9216.1117.6414.4620,7212.9513.43
14.4912.2917.4511.8411.069.91
111016.9615.0622.3218.601417
$15.64
16.33
$14.54
1 Derived by asssuming that overtime hours are paid at the rate oftime and one-half.
2 Data not available.p= preliminary.
NOTE: Data are currently projected from March 2004 benchmark levels.When more recent benchmark data are (introduced with the release ofJanuary 2006 estimates, all unadjusted data from April 2004 forward aresubject to revision
152
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ESTABLISHMENT DATAEARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by majorindustry sector and selected industry detail, in current and constant (1982) dollars
Industry
Average hourly earnings
June2004
July2004 2005
June2005p
July2005p
Average weekly earnings
June2004
July2004
May2005
June2005p
July2005p
Total private:Current dollarsConstant (1982) dollars.
Goods-producing:Current dollarsConstant (1982) dollars.
Natural resources and mining:Current dollarsConstant (1982) dollars
Construction:Current dollarsConstant (1982) dollars ....
Manufacturing:Current dollarsConstant (1982) dollars
Private service-providing:Current dollarsConstant (1982) dollars
Trade, transportation, and utilities:Current dollarsConstant (1982) dollars
Wholesale trade:Current dollars ....Constant (1982) dollars
Retail trade:Current dollarsConstant (1982) dollars
Transportation and warehousing:Current dollars ....Constant (1982) dollars
Utilities:Current dollarsConstant (1982) dollars
Information:Current dollarsConstant (1982) dollars
Financial activities:Current dollarsConstant (1982) dollars
Professional and business services:Current dollarsConstant (1982) dollars
Education and health services:Current dollarsConstant (1982) dollars
Leisure and hospitality:Current dollarsConstant (1982) dollars
Other services:Current dollarsConstant (1982) dollars.
$15.568.14
17.148.96
18.129.48
19.1210.00
16.088.41
15.137.91
14.557.61
17.579.19
12.076.31
16.538.65
25.3413.25
21.1611.07
17.409.10
17.319.05
16.108.42
8.794.60
13.927.28
$15.598.17
17.189.00
18.029.44
19.2410.08
16.038.40
15.167.95
14.567.63
17.659.25
12.066.32
16.588.69
25.4513.34
21.2911.16
17.469.15
17.359.09
16.238.51
8.794.61
13.887.27
$16.038.17
17.518.93
18.589.47
19.309.84
18.503.41
115.647,98
14.937.31
18.069.21
12.40(3,32
16.608.47
26.5413.53
21.9311.18
17.959.. 15
18.029.19
16.558.44
9.084,63
14257.27
$15.978.14
17.568.95
18.609.48
19.369.87
16.528.42
15.547.92
14.867.57
18.019.18
12.336.28
16.668.49
26.2113.36
21.8211.12
17.789.06
17.859.10
16.598.46
9.024.60
14.157.21
$16.03(2)
17.622
18.732
19.54(2)
16.49(2)
15.612
14.952
18.192
12.392
16.772
26.642
22.032
17.932
17.962
16.73(2)
8.982
14.142
$524.37274.25
689.03360.37
806.34421.73
736.12385.00
659.28344.81
488.70255.60
487.43254.93
660.63345.52
371.76194.44
61161319.88
1,044.01546.03
774.46405.05
614.22321.24
590.27308.72
520.03271.98
227.66119.07
430.13224.96
$528.50276.99
687.20360.17
801.89420.28
752.28394.28
646.01338.58
492.70258.23
492.13257.93
665.41348.75
375.96197.04
616.78323.26
1,033.27541.55
772.83405.05
618.08323.94
591.64310.08
529.10277.31
231.18121.16
431.67226.24
$543.42277.11
702.15358.06
854.68435.84
750.77382.85
666.60339.93
509.86260.00
501.65255.81
686.28349.96
380.68194.13
617.52314.90
1,088.14554.89
804.83410.42
655.18334.11
621.69317.03
541.19275.98
236.08120.39
441.75225.27
$539.79275.12
705.91359.79
851.88434.19
758.91386.80
669.06341.01
503.50256.63
497.81253.73
677.18345.15
379.76193.56
616.42314.18
1,079.85550.38
794.25404.82
638.30325.33
612.26312.06
539.18274.81
235.42119.99
438.65223.57
$541.81(2)
697.752
850.342
758.152
656.302
507.332
502.322
682.132
382.852
622.172
1,092.24(2)
801.892
643.692
614.232
545.402
237.072
439.752
"Data relate to production workers in natural resources and miningand manufacturing, construction workers in construction, andnonsupervisory workers in the service-providing industries.
2Data not available.p= preliminary.
NOTE: The Consumer Price Index for Urban Wage Earners and ClericalWorkers (CPi-W) is used to deflate the earnings series. Data are currentlyprojected from March 2004 benchmark levels. When more recentbenchmark data are introduced with the release of January 2006 estimates,all unadjusted data from April 2004 forward are subject to revision.
153
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ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas
State and area
Average weekly hours
June2004
May2005
June2005 P
Average hourly earnings
June2004
May2005
June2005 P
Average weekly earnings
June2004
May2005
June2005 P
AlabamaBirmingham-HooverMobile
Alaska .
ArizonaPhoenix-Mesa-Scottsdale.Tucson
ArkansasFayetteville-Springdale-Rogers .Fort SmithLittle Rock-North Little Rock
CaliforniaBakersfieldLos Angeles-Long Beach-Santa AnaModestoOxnard-Thousand Oaks-VenturaRiverside-San Bernardino-OntarioSacramento—Arden-Arcade—Roseville .
San Diego-Carlsbad-San Marcos....San Francisco-Oakland-Fremont ....San Jose-Sunnyvale-Santa Clara ...Santa Barbara-Santa Maria-Goleta.Santa Rosa-PetalumaStockton
ColoradoDenver-Aurora
ConnecticutBridgeport-Stamford-NorwalkHartford-West Hartford-East Hartford.New HavenNorwich-New LondonWaterbury
Delaware.
Florida
GeorgiaAtlanta-Sandy Springs-Marietta..
HawaiiHonolulu
Idaho.
IllinoisChicago-Naperville-JolietDavenport-Moline-Rock Island .PeoriaRockford
IndianaElkhart-Goshen.EvansvilleFort WayneIndianapolis
IowaDes Moines.
Kansas....Wichita.
KentuckyLexington-Fayette.Louisville
Louisiana.
MainePortland-South Portland-Biddeford.
Maryland.
41.342.540.6
30.8
39.539.1
40.640.342.643.3
40.038.640.143.040.840.640.141.839.839.839.740.040.440.4
40.441.9
42.042.643.341.442.539.3
40.3
41.5
40.037.3
36.136.5
40.5
41.241.341.040.940.2
42.138.939.841.540.1
42.842.9
40.842.7
40.939.841.1
43.6
39.440.3
40.1
40.543.239.5
27.6
40.740.638.9
39.340.338.341.6
39.941.440.342.242.140.139.337.739.539.238.743.339.440.0
38.140.3
42.241.643.541.641.938.4
39.5
42.0
38.936.8
38.038.1
40.7
40.540.740.740.440.5
41.339.840.642.939.9
41.341.9
41.344.0
40.240.440.2
42.3
40.040.6
40.1
40.742.738.2
31.6
40.940.638.9
39.440.839.341.3
39.741.839.741.741.140.138.937.139.439.038.341.939.740.3
38.540.5
42.441.743.941.542.639.6
39.4
41.2
39.337.2
36.836.5
41.6
40.840.840.840.340.4
41.438.641.043.340.0
42.041.0
41.845.3
40.440.840.3
42.3
39.842.0
40.2
$14.5015.6415.97
13.98
14.0813.8314.16
13.5812.9413.5814.56
15.3615.6113.6915.1616.1713.6216.2115.4214.9317.5022.0115.5917.3314.33
16.3916.76
18.0920.9519.8514.8818.2018.47
17.47
13.84
14.6815.99
13.5113.80
14.17
15.6516.0615.7118.1017.31
18.0615.6818.3017.5721.54
16.3317.32
16.4919.71
16.7615.0219.64
16.42
16.7913.65
16.42
$14.7315.8513.82
16.05
15.0114.7714.41
13.8112.6113.1815.08
15.6815.5314.2315.8116.2213.6316.3915.8614.9317.7722.3215.7917.0014.38
15.9817.25
18.6919.6520.7116.5118.7219.43
18.08
13.67
14.6816.01
13.3413.33
14.58
15.8616.3715.8618.2717.65
18.1415.0920.6318.2121.36
16.1517.64
16.9720.09
16.5615.3019.23
17.36
16.9313.99
16.93
$14.6015.8815.10
15.44
14.9914.8013.98
13.8412.4213.2615.45
15.7315.4814.2815.5816.3413.6816.3615.7914.9517.6322.4015.8417.0414.49
15.7617.29
18.6519.7820.6217.0218.7419.35
17.48
13.55
14.6016.11
13.7713.58
14.26
15.8816.3715.9118.2517.57
18.3215.7520.4118.2121.35
16.1717.57
17.0420.08
16.7315.4319.17
16.91
17.1114.15
17.00
$598.85664.70648.38
430.58
556.16540.75564.98
551.35521.48578.51630.45
614.40602.55548.97651.88659.74552.97650.02644.56594.21696.50873.80623.60700.13578.93
662.16702.24
759.78892.47859.51616.03773.50725.87
704.04
574.36
587.20596.43
487.71503.70
573.89
644.78663.28644.11740.29
760.33609.95728.34729.16863.75
698.92743.03
672.79841.62
685.48597.80807.20
715.91
661.53550.10
658.44
$596.57684.72545.89
442.98
610.91599.66560.55
542.73508.18504.79627.33
625.63642.94573.47667.18682.86546.56644.13597.92589.74
863.78683.71669.80575.20
608.84695.18
788.72817.44900.89686.82784.37746.11
714.16
574.14
571.05589.17
506.92507.87
593.41
642.33666.26645.50738.11714.83
749.18600.58837.58781.21852.26
667.00739.12
700.86883.96
665.71618.12773.05
734.33
677.20567.99
678.89
$594.22678.08576.82
487.90
613.09600.88543.82
545.30506.74521.12638.09
624.48647.06566.92
671.57548.57636.40585.81589.03687.57857.92663.70676.49583.95
606.76700.25
790.76824.83905.22706.33798.32766.26
688.71
558.26
573.78599.29
506.74495.67
593.22
647.90667.90649.13735.48709.83
758.45607.95836.81788.49854.00
679.14720.37
712.27909.62
675.89629.54772.55
715.29
680.98594.30
683.40
See footnotes at end of table.
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ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on [manufacturing payrolls in States and selected areas—Continued
State and area
Average weekly hours
June2004
May2005
June2005 P
Average hourly earnings
June2004
May2005
June2005 P
Average weekly earnings
June2004
May2005
June2005 P
Massachusetts.Boston-Cambridge-QuincySpringfieldWorcester
MichiganDetroit-Warren-LivoniaFlintGrand Rapids-WyomingKalamazoo-PortageLansing-East Lansing
Minnesota..Minneapolis-Si Paul-BIoomington
MississippiJackson
Missouri
St. Louis 1
Montana
NebraskaLincolnOmaha-Council Bluffs...................
Nevada.....Las Vegas-Paradise
New Hampshire
Manchester
New Jersey
New Mexic©
Albuquerque
New York
North CarolinaAshevilleGhariotte-Gastonia-ConcordDurhamGreensboro-High PointHickory-Lenoir-MorgantonRaleigh-CaryWinston-Salem
North DakotaFargo
OhioAkronCanton-MassillonCincinnati-MiddletownCleveland-Elyria-MentorColumbusDaytonToledoYoungstown-Warren-Boardman ....
OklahomaOklahoma CityTuisa...
Oregon .Eugene-SpringfieldMedfordPortland-Vancouver-BeavertonSalem
41.641.245.042.7
42.543.546.140.139.640.9
40.441.4
39.439.3
40.740.9
37.9
42.244.041.6
39.740.1
39.539.0
42.4
39.741.2
39.6
40.444.641.544.939.338.538.337.3
39.238.5
42.041.341.342.942.440.840.942.543.0
41.040.940.1
39.343.138.539.038.0
41.641.643.043.0
41.442.744.140.638.540.4
39.940.6
39.338.0
39.540.8
39.2
39.540.141.1
39.839.7
40.340.2
41.6
39.238.8
39.642.341.841.537.936.538.739.4
38.936.2
41.240.837.441.841.639.541.142.443.5
39.638.843.3
40.840.843.840.438.5
41.741.742.842.9
41.942.146.338.939.140.8
40.140.1
39.237.0
39.941.8
39.5
39.840.940.8
39.439.8
40.541.4
41.7
39.139.4
39.1
40.241.241.840.838.936.639.839.6
38.936.9
41.241.437.241.441.240.441.641.543.2
40.740.843.1
40.140.542.440.239.8
$16.5118.6315.1215.74
21.4024.5430.7717.6015.7624.95
16.1517.58
13.0814.78
17.9021.93
14.92
15.1615.7417.77
14.7415.08
15.4217.15
15.76
13.0814.14
17.24
14.4014.8715.4216.8314.4913.1414.3017.66
14.2013.79
18.4814.7616.5519.0418.5618.8420.5121.9526.12
13.7013.3616.82
15.3815.1214.9915.7913.58
$17.6818.9416.7416.45
21.3124.5730.4317.0315.0124.02
16.5417.77
13.3215.23
17.5521.34
15.62
15.6116.4618.62
14.8314.84
15.7616.29
15.68
13.5715.37
17.73
14.3515.1715.5316.2914.6513.4113.8917.36
15.6113.97
18.8915.2817.6319.5118.8518.9818.5522.1626.27
14.6814.6916.54
15.4414.8215.7015.9814.18
$17.6118.8516.9216.64
21.3725.1231.4917.9714.6223.30
16.6217.93
13.2315.57
17.6021.99
15.70
15.3516.1218.24
14.9814.86
15.9316.13
15.69
13.5515.40
17.82
14.3515.5815.4016.4214.7413.5213.5617.22
15.2913.92
18.9715.2117.8819.3918.9119.3718.6922.3226.06
14.4813.8317.28
15.4414.8615.6415.9013.58
$686.82767.56680.40672.10
909.501,067.491,418.50
705.76624.10
1,020.46
652.46727.81
515.35580.85
728.53896.94
565.47
639.75692.56739.23
585.18604.71
609.09668.85
668.22
519.28582.57
682.70
581.76663.20639.93755.67569.46505.89547.69658.72
556.64530.92
776.16609.59683.52816.82786.94768.67838.86932.88
1,123.16
561.70546.42674.48
604.43651.67577.12615.81516.04
$735.49787.90719.82707.35
882.231,049.141,341.96
691.42577.89970.41
659.95721.46
523.48578.74
693.23870.67
612.30
616.60660.05765.28
590.23589.15
635.13654.86
652.29
531.94
698.56
568.26641.69649.15676.04555.24489.47537.54683.98
607.23505.71
778.27623.42659.36815.52784.16749.71762.41939.58
1,142.75
581.33569.97716.18
629.95604.66687.66645.59545.93
$734.34786.05724.18713.86
895.401,057.551,457.99
571.64950.64
666.46718.99
518.62576.09
702.24919.18
620.15
610.93659.31744.19
590.21591.43
645.17667.78
654.27
529.81606.76
696.76
576.87641.90643.72669.94573.39494.83539.69681.91
594.78513.65
781.56
665.14802.75779.09782.55777.50926.28
1,125.79
589.34564.26744.77
619.14601.83663.14639.18540.48
See footnotes at end of table.
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ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGSNOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued
State and area
Average weekly hours
June2004
May2005
June2005 P
Average hourly earnings
June2004
May2005
June2005 P
Average weekly earnings
June2004
May2005
June2005 P
PennsylvaniaAllentown-Bethlehem-EastonErieHarrisburg-Carlisle »LancasterPittsburghReadingScranton—Wilkes-BarreYork-Hanover
Rhode Island
Providence-Fall River-Warwick
South Carolina
South Dakota
TennesseeChattanoogaKnoxvill©MemphisNashville-Davidson—Murfreesboro....
TexasDallas-Fort Worth-ArlingtonHouston-Baytown-Sugar LandSan Antonio
ytahOgden-ClearfieldP r o v o ^ O r c j m •.......•.>••>••••••••••«•>•>>.• »p>a«»««
Salt Lake City
VermontBurlington-South Burlington
VirginiaLynchburgRichmondVirginia Beach-Norfolk-Newport News
Washington
West VirginiaHunington-Ashland
WisconsinMilwaukee-Waukesha-West Allis
Puerto Rico
Virgin Islands
40.439.344.040.540.440.741.138.441.7
40.5
39.8
41.5
40.541.539.940.840.3
39.538.640.138.3
37.641.838.938.7
40.238.1
42.145.536.944.0
40.2
41.442.1
39.740.7
40.2
41.0
46.2
40.438.843.437.939.041.241.737.541.1
38.738.9
39.2
42.4
38.841.138.840.739.3
39.839.941.338.4
38.239.541.537.4
38.739.3
41.343.537.244.1
39.6
41.344.1
40.039.3
40.8
40.9
42.6
40.738.943.237.238.941.342.037.640.8
38.938.9
39.6
42.8
39.141.139.541.639.6
39.039.541.837.8
38.941.540.937.9
38.239.2
40.844.335.943.8
39.7
41.143.8
40.038.8
41.1
41.2
40.4
$15.1214.7116.3115.1815.3016.2816.0413.9115.84
13.0413.35
14.56
13.20
13.7712.5113.7414.3514.23
13.9714.9217.3910.85
15.6016.0614.3915.03
14.6015.15
16.2115.5415.8918.59
18.11
16.6916.41
16.1817.23
16.85
10.78
21.96
$15.2514.9516.2515.8216.2616.5216.1213.8815.56
13.0013.42
15.18
13.37
13.9212.9215.5214.5914.42
14.0215.1317.8210.73
14.7314.1713.6816.01
15.0016.11
16.2915.8715.6519.44
18.75
17.0417.21
16.3317.14
16.96
10.78
22.83
$15.2114.9116.4415.8116.2316.4616.1313.8215.52
13.0713.47
15.39
13.30
14.0813.1215.5614.9314.46
14.0215.2017.7510.73
14.7313.7814.0015.91
15.0816.25
16.2415.9516.1719.20
18.89
17.2617.47
16.2817.05
17.05
10.85
22.93
$610.85578.10717.64614.79618.12662.60659.24534.14660.53
516.38540.68
579.49
547.80
557.69519.17548.23585.48573.47
551.82575.91697.34415.56
586.56671.31559.77581.66
586.92577.22
682.44707.07586.34817.96
728.02
690.97
642.35701.26
677.37
441.98
1,014.55
$616.10580.06705.25599.58634.14680.62672.20520.50639.52
503.10522.04
540.10531.01602.18593.81566.71
558.00
735.97412.03
562.69559.72567.72598.77
580.50633.12
672.78690.35582.18857.30
742.50
703.75758.96
653.20673.60
691.97
440.90
972.56
$619.05580.00710.21588.13631.35679.80677.46519.63633.22
508.42523.98
609.44
569.24
550.53539.23614.62621.09572.62
546.78600.40741.95405.59
573.00571.87572.60602.99
576.06637.00
662.59706.59580.50840.96
749.93
709.39765.19
651.20661.54
700.76
447.02
926.37
1 Area boundaries do not reflect official OMB definitions.P a preliminary.NOTE: State and area data are currently projected from 2004 benchmark levels.
When more recent benchmark data are introduced with the release of January 2006estimates, unadjusted data from April 2004 are subject to revision. Area definitions arebased on Office of Management Budget Bulletin No. 04-03, dated February 18,2004, andare available at http://www.bls.gov/lau/Iausmsa.htrn and in the May issue of Employment
and Earnings. Areas in the six New England states are Metropolitan New England Cityand Town Areas (NECTAs), while areas in other states are county-based. Somemetropolitan areas lie in two or more states. They are listed under the state that appearsfirst in their titles. Davenport-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W.Va.-Ohio, are the exceptions in that they are listed under Illinois and Ohio, respectively,for operational reasons.
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ESTABLISHMENT DATANOT SEEASONALLY ADJUSTED
3-18, Average hours and earnings of production workers on manufacturing payrolls In selected states, metropolitanareas, and metropolitan divisions
(Numbers in thousands)
State, area, and divisionAverage weekly hours
June2004
40.040.140.140.039.840.338.3
39.3
41.241.341.342.140.2
41.641.241.540.7
42.543.542.744.0
40.441.039.0
39.538.637.341.2
A/lay2005
5I9.940.340,140,5£19.240,0£17,5
39, S
4-0.540.740.64-2.440,0
41.841,842,3*2.B
41.4£2.742,143.0
40,439.840,7
39.839.938,243,1
June2005 P
39.739.739.340.639.039.737.3
39.9
40.840.840.741.640.2
41.741.742.143.1
41.942.142.242.1
40.740.841.2
39.039.537.643.3
Average hourly earnings
June2004
$15.3613.6913.5614.0817.5018.4415.56
17.14
15.6516.0615.4122.8215.25
16.5118.6317.7215.91
21.4024.5425.2724.11
15.1216.6920.91
13.9714.9213.6217.35
May2005
$15.6814.2314.1214.5317.7718.5616.07
16.96
15.8816.3715.7722.7615.50
17.6818.9418.0716.28
21.3124.5725.0024.33
15.2516.5820.98
14.0215.1313.6617.63
June2005 P
$15.7314.2814.1714.5717.6318.3516.05
16.85
15.8816.3715.7622.7715.55
17.6118.8518.0816.88
21.3725.1225.1325.12
15.2116.5620.53
14.0215.2013.6917.69
Average weekly earnings
June2004
$614.40548.97543.76563.20696.50743.13603.73
682.17
644.78663.28636.43960.72613.05
686.82767.56735.38647.54
909.501,067.491,079.031,060.84
610.85684.29815.49
551.82575.91508.03714.82
May2005
$625.63573.47566.21589.92696.58742.40604.23
671.62
642.33666.26640.26965.02620.00
735.49787.90764.36696.78
882.231,049.141,052.5018046.19
616.10659.88853.89
558.00603.69521.81759.85
June2005 P
$624.48566.92556.88591.54687.57728.50598.67
672.32
647.90667.90641.43947.23625.11
734.34786.05761.17727.53
895.401,057.551,060.491,057.55
619.05675.65845.84
546.78600.40514.74765.98
CaliforniaLos Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-QlendaleSanta Ana-Anaheim-Irvine
San Francisco-Oakland-FremontOakland-Fremont-Hayward .....San Francisco-San Mateo-Redwood City
District of ColumbianWashington-Arlington-Atexandria1
IllinoisChicago-Naperville-Joliet1
Chicago-Napervslle-JolietGary 2
Lake County-Kenosha County1
MassachussttsBoston-Cambridge-Quincy1
Boston-Cambridge-QuincyNashua1
MichiganDetroit-Warren-Livonia
Detroit-Livonia-DearbomWarren-Farmington Hills-Troy
PennsylvaniaPhiladelphiaWilmington 2
Texas ....Dallas-Fort Worth-Arlington
Dallas-Plano-lrvingFort Worth-Arlington
1 Part of the area is in one or more adjacent states.2 All of the area is in one or more adjacent states.P = preliminary.NOTE: State and area data are currently projected from 2004 benchmark levels.
When more recent benchmark data are introduced with the release of January 2006estimates, unadjusted data from April 2004 are subject to revision. Area definitionsare based on Office of Management and Budget Bulletin No. 04-03, dated Febniaiy
18, 2004, and are available at lffip-J/www.bls.gov/Iau/lausmsa.htm and in the Mayissue of Employment and Earnings. Areas in the six New England states areMetropolitan New England City and Town Areas (NECTAs), while areas in otherstates are county-based. Some metropolitan areas lie in two or more states. Theyare listed under the state that appears first in their titles. Some divisions lie in morethan one state, and some, like Camden, N.J., are totally outside the states underwhich their metropolitan areas are listed.
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LABOR FORCE DATAREGIONS AND DIVISIONSSEASONALLY ADJUSTED
C-1. Labor force status by census region and division, seasonally adjusted1
(Numbers in thousands)
Census region and division2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
NORTHEAST
Civilian labor forceEmployedUnemployedUnemployment rate..
New England
Civilian labor forceEmployedUnemployedUnemployment rate..
Middle Atlantic
Civilian labor forceEmployedUnemployedUnemployment rate..
SOUTH
Civilian labor forceEmployedUnemployedUnemployment rate.
South Atlantic
Civilian labor forceEmployedUnemployedUnemployment rate..,
East South Central
Civilian labor forceEmployedUnemployedUnemployment rate.
West South Central
Civilian labor forceEmployedUnemployedUnemployment rate..
MIDWEST
Civilian labor forceEmployedUnemployedUnemployment rate
East North Central
Civilian labor forceEmployedUnemployedUnemployment rate
West North Central
Civilian labor forceEmployedUnemployedUnemployment rate
See footnotes at end of table.
27,517.326,026.3
1,491.05.4
7,538.17,166.6
371.54.9
19,979.218,859.71,119.5
5.6
51,746.849,020.7
2,726.15.3
27,304.225,963.2
1,341.04.9
8,353.67,905.8
447.85.4
16,089.015,151.7
937.35.8
34,421.832,465.91,955.9
5.7
23,577.922,160.4
1,417.56.0
10,844.010,305.6
538.45.0
27,576.226,109.0
1,467.25.3
7,534.77,168.2
366.54.9
20,041.418,940.71,100.7
5.5
51,779.049,073.2
2,705.85.2
27,312.325,993.7
1,318.64.8
8,361.07,905.5
455.45.4
16,105.815,174.0
931.75.8
34,470.232,476.7
1,993.55.8
23,616.322,168.0
1,448.36.1
10,853.910,308.7
545.25.0
27,573.526,132.0
1,441.55.2
7,526.07,166.8
359.14.8
20,047.518,965.21,082.4
5.4
51,819.349,123.4
2,695.95.2
27,336.4
27,593.026,185.6
1,407.45.1
27,589.826,205.7
1,384.1
7,514.07,169.8
344.24.6
20,079.019,015.8
1,063.25.3
5.0
7,505.37,167.9
337.34.5
20,084.619,037.7
27,629.226,266.2
1,363.04.9
7,500.37,169.1
331.34.4
20,128.819,097.2
27,648.326,266.91,381.4
5.0
7,496.97,172.9
323.94.3
20,151.419,093.9
27,575.026,277.7
1,297.34.7
7,493.27,158.9
334.34.5
20,081.819,118.8
27,613.426,264.6
1,348.84.9
7,500.37,152.2
348.14.6
20,113.1
27,580.526,262.5
1,318.04.8
27,689.326,404.0
1,285.3
7,512.87,159.7
353.14.7
51,854.749,170.1
2,684.65.2
27,346.9
1,046.85.2
51,959.149,238.5
2,720.65.2
26,023.51,312.9
4.8
8,365.77,902.4
463.35.5
16,117.215,197.5
919.85.7
34,488.232,498.61,989.5
5.8
23,616.222,180.4
1,435.86.1
10,872.010,318.2
553.75.1
26,048.31,298.6
4.7
8,365.87,902.2
463.55.5
16,142.015,219.5
922.55.7
34,487.432,518.1
1,969.35.7
23,625.622,200.1
1,425.56.0
10,861.810,318.0
543.85.0
27,417.026,099.3
1,317.84.8
8,368.37,900.1
468.25.6
16,173.715,239.1
934.75.8
34,509.932,532.8
1,977.05.7
23,658.6
1,031.75.1
52,030.049,289.62,740.4
5.3
27,463.626,128.2
1,335.34.9
8,363.67,901.7
461.95.5
16,202.915,259.7
943.25.8
34,515.232,539.91,975.3
5.7
22,214.51,444.1
6.1
10,851.310,318.3
533.04.9
23,663.822,218.7
1,445.16.1
10,851.510,321.3
530.24.9
1,057.55.2
52,103.649,335.6
2,768.05.3
27,510.326,154.6
1,355.74.9
8,362.77,899.4
463.45.5
16,230.615,281.6
949.05.8
34,504.932,562.8
1,942.15.6
23,647.222,230.5
1,416.76.0
10,857.710,332.2
525.44.8
963.14.8
52,247.649,570.5
2,677.05.1
19,112.31,000.8
5.0
52,364.949,612.4
2,752.45.3
20,067.719,102.8
964.94.8
52,312.149,673.8
2,638.35.0
27,570.626,298.6
1,272.14.6
8,390.77,912.4
478.35.7
16,286.215,359.5
926.75.7
34,539.732,613.8
1,925.95.6
23,693.622,303.5
1,390.15.9
10,846.210,310.3
535.94.9
27,648.026,317.8
1,330.24.8
8,414.67,929.8
484.85.8
16,302.215,364.9
937.45.7
34,630.832,624.2
2,006.65.8
23,757.122,283.6
1,473.56.2
10,873.710,340.6
533.14.9
27,654.826,362.1
1,292.74.7
8,382.57,912.8
469.75.6
16,274.915,398.9
875.95.4
34,595.632,656.7
1,938.85.6
23,719.422,311.2
1,408.25.9
10,876.110,345.6
530.64.9
4.6
7,546.97,201.4
345.54.6
20,142.419,202.6
939.84.7
52,571.949,938.82,633.1
5.0
27,809.526,519.31,290.2
4.6
8,391.07,922.8
468.35.6
16,371.415,496.7
874.65.3
34,742.832,822.0
1,920.85.5
23,857.322,441.8
1,415.55.9
10,885.510,380.2
505.34.6
27,725.026,415.0
1,310.04.7
7,551.57,196.4
355.24.7
20,173.419,218.6
954.84.7
52,658.050,013.02,645.0
5.0
27,868.226,590.8
1,277.44.6
8,391.97,907.5
484.45.8
16,397.915,514.7
883.35.4
34,688.432,762.8
1,925.65.6
23,798.822,392.3
1,406.65.9
10,889.610,370.6
519.04.8
27,599.526,303.3
1,296.24.7
7,529.07,179.7
349.34.6
20,070.619,123.6
947.04.7
52,533.349,958.5
2,574.84.9
27,862.126,580.6
1,281.54.6
8,341.47,859.8
481.65.8
16,329.815,518.1
811.85.0
34,493.232,606.2
1,887.15.5
23,650.722,255.2
1,395.55.9
10,842.510,350.9
491.64.5
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LABOR FORCE DATAREGIONS AND DIVISIONSSEASONALLY ADJUSTED
C-1. Labor force status by census region and division, seasonally acBjusted1—Continued
(Numbers in thousands)
Census region and division2004
June July Aug. Sept. Oct Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
WEST
Civilian labor force....EmployedUnemployedUnemployment rate
Mountain
Civilian labor force....EmployedUnemployedUnemployment rate
Pacific
Civilian labor force....EmployedUnemployedUnemployment rate
33,629.631,638.6
1,991.05.9
10,050.79,543.8
507.05.0
23,578.922,094.8
1,484.16.3
33,657.231,693.8
1,963.45.8
10,066.19,562.7
503.45.0
23,591.022,131.1
1,460.06.2
33,682.531,751.6
1,930.95.7
10,082.29,583.0
499.25.0
23,600.322,168.5
1,431.76.1
33,736.731,803.9
1,932.85.7
10,099.49,598.4
501.05.0
23,637.322,205.5
1,431.86.1
33,778.131,865.7
1,912.4
10,116.09,620.6
494.44.9
23,663,122,246.1
1,418,06,0
33,820.531,917.8
1,902.75.6
10,120.09,635.2
484.84.8
33,846.731,963.1
1,883.75.6
10,130.79,651.9
33,844.632,025.3
1,819.25.4
10,154.09,698.4
34,036.432,189.6
1,846.85.4
10,198.49,731.3
33,962.732,206.9
1,755.75.2
10,220.69,734.9
23,700.522,282.6
1,417.96.0
478.84.7
23,716.022,311.2
1,404.95.9
455.64.5
23,690.522,327.0
1,363.65.8
467.14.6
23,838.022,458.3
1,379.75.8
485.74.8
23,742.122,472.0
1,270.05.3
34,158.132,358.0
1,800.15.3
10,290.69,790.0
500.64.9
23,867.422,568.0
1,299.55.4
34,170.932,373.9
1,796.95.3
10,270.29,773.4
496.84.8
23,900.722,600.5
1,300.15.4
34,188.532,428.4
1,760.25.1
10,279.59,805.0
474.44.6
23,909.122,623.4
1,285.75.4
P = preliminary.1 Census region estimates are derived by summing the Census division
model-based estimates.NOTE: Data refer to place of residence. The States (including the District o\
Columbia) that compose the various census divisions are: New England:Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont;Middle Atlantic: New Jersey, New York, and Pennsylvania; South Atlantic:Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South
Carolina, Virginia, and West Virginia; East South Central: Alabama, Kentucky,Mississippi, and Tennessee; West South Central: Arkansas, Louisiana, Oklahoma,and Texas; East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin;West North Central: Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota,and South Dakota; Mountain: Arizona, Colorado, Idaho, Montana, Nevada, NewMexico, Utah, and Wyoming; and Pacific: Alaska, California, Hawaii, Oregon, andWashington.
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STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted
(Numbers in thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Alabama
Civilian labor forceEmployedUnemployedUnemployment rate
Alaska
Civilian labor forceEmployedUnemployedUnemployment rate .
Arizona
Civilian labor forceEmployedUnemployedUnemployment rate .
Arkansas
Civilian labor forceEmployedUnemployedUnemployment rate .
California
Civilian labor forceEmployedUnemployedUnemployment rate
Colorado
Civilian labor forceEmployedUnemployedUnemployment rate .
Connecticut
Civilian labor forceEmployedUnemployedUnemployment rate .
Delaware
Civilian labor forceEmployedUnemployedUnemployment rate .
District of Columbia
Civilian labor forceEmployedUnemployedUnemployment rate .
Florida
Civilian labor forceEmployedUnemployedUnemployment rate ....
Georgia
Civilian labor forceEmployedUnemployedUnemployment rate .
2,146.82,028.0
118.95.5
332.4307.624.7
7.4
2,771.42,632.8
138.65.0
1,303.51,227.9
75.65.8
17,540.816,435.9
1,104.96.3
2,520.02,382.0
138.05.5
1,796.81,709.8
87.04.8
422.9405.6
17.34.1
297.4273.2
24.28.1
8,396.07,996.1
399.94.8
4,392.24,187.3
204.94.7
2,149.02,030.1
118.95.5
332.3307.924.57.4
2,778.92,641.3
137.75.0
1,307.61,232.8
74.95.7
17,576.116,490.41,085.7
6.2
2,524.12,386.0
138.15.5
1,796.81,710.2
86.74.8
423.1405.8
17.34.1
295.4270.8
24.68.3
8,410.88,015.6
395.24.7
4,395.74,191.5
204.14.6
2,152.32,032.2
120.15.6
332.9308.124.87.5
2,782.72,646.6
136.14.9
1,311.31,237.0
74.35.7
17,572.316,505.31,067.0
6.1
2,529.52,390.7
138.95.5
1,797.01,710.5
86.54.8
423.2405.9
17.44.1
298.2273.2
25.08.4
8,412.38,021.5
390.84.6
4,404.94,195.4
209.54.8
2,154.02,034.3
119.65.6
333.4308.325.1
7.5
2,787.22,653.0
134.24.8
1,313.61,239.3
74.35.7
17,601.216,531.41,069.8
6.1
2,533.62,396.1
137.55.4
1,795.51,710.8
84.74.7
423.4406.0
17.44.1
299.7274.3
25.58.5
8,434.98,029.2
405.74.8
4,409.74,199.0
210.74.8
2,155.32,036.6
118.75.5
333.6308.525.1
7.5
2,793.82,661.6
132.24.7
1,316.21,242.1
74.15.6
17,635.816,574.71,061.2
6.0
2,538.12,400.3
137.75.4
1,794.91,711.1
83.84.7
423.6406.1
17.54.1
300.3274.425.98.6
8,457.18,053.8
403.34.8
4,413.84,202.5
211.24.8
2,154.92,038.9
116.05.4
333.9308.725.27.6
2,798.32,668.7
129.64.6
1,317.71,244.5
73.35.6
17,648.016,591.61,056.4
6.0
2,539.82,403.3
136.45.4
1,794.11,711.4
82.74.6
423.8406.3
17.54.1
301.0274.7
26.38.7
8,473.48,077.8
395.64.7
4,418.54,206.0
212.54.8
2,156.22,041.3
114.95.3
334.2308.925.37.6
2,796.72,670.9
125.84.5
1,321.51,248.2
73.45.6
17,630.416,579.7
1,050.66.0
2,544.02,407.2
136.95.4
1,791.51,711.6
79.94.5
424.0406.4
17.64.2
302.7276.0
26.78.8
8,480.88,090.3
390.54.6
4,422.14,209.4
212.74.8
2,160.92,047.3
113.65.3
334.5310.024.5
7.3
2,801.82,684.9
116.94.2
1,319.51,248.8
70.65.4
17,610.316,590.1
1,020.25.3
2,537.82,416.1
121.74.8
1,782.31,698.3
84.04.7
426.6408.5
18.14.3
305.6280.7
24.98.1
8,512.08,141.4
370.64.4
4,444.54,231.6
212.94.8
2,161.72,049.3
112.45.2
336.4312.224.27.2
2,804.02,680.0
124.04.4
1,325.71,252.6
73.05.5
17,742.316,717.51,024.8
5.8
2,542.82,418.7
124.14.9
1,776.71,691.4
85.34,8
426.3409.0
17.34.1
306.3281.3
25.08.1
8,564.68,173.2
391.44.6
4,448.74,220.9
227.85.1
2,153.22,051.3
101.84.7
336.8314.522.36.6
2,810.72,679.2
131.64.7
1,327.81,259.4
68.55.2
17,656.816,699.1
957.75.4
2,543.82,413.1
130.85.1
1,789.61,701.6
88.04.9
426.9410.2
16.73.9
303.4279.7
23.67.8
8,560.98,185.9
375.04.4
4,456.74,235.2
221.55.0
2,143.52,049.1
94.44.4
339.7317.022.6
6.7
2,834.92,694.4
140.55.0
1,338.91,272.9
66.04.9
17,746.916,791.6
955.35.4
2,559.02,424.6
134.45.3
1,808.01,719.7
88.34.9
429.4412.8
16.63.9
303.2279.8
23.47.7
8,622.38,258.9
363.34.2
4,470.04,246.7
223.35.0
2,143.02,048.1
95.04.4
338.9317.321.66.4
2,816.32,681.1
135.14.8
1,345.61,278.0
67.75.0
17,783.816,834.8
949.05.3
2,560.42,425.2
135.25.3
1,812.91,716.1
96.85.3
432.2414.6
17.64.1
298.8275.123.7
7.9
8,653.38,302.3
351.04.1
4,487.14,253.3
233.85.2
2,131.72,036.9
94.84.4
340.5318.721.86.4
2,822.22,697.7
124.54.4
1,343.51,278.5
65.14.8
17,808.516,845.4
963.15.4
2,548.42,422.8
125.64.9
1,800.61,708.5
92.05.1
431.7413.8
17.94.1
298.5276.322.37.5
8,641.68,301.3
340.33.9
4,480.94,245.7
235.35.3
See footnotes at end of table.
160
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STATE LABOR FORCE DATASEASONALLY ADJUSTED
O2, Labor foroe status by State, seasonally adjusted—Continued
(Numbers in thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Hawaii
Civilian labor forceEmployedUnemployedUnemployment rate
Idaho
Civilian labor force '.....EmployedUnemployedUnemployment rate ...................
Illinois
Civilian labor forceEmployedUnemployedUnemployment rate
Indiana
Civilian labor forceEmployedUnemployedUnemployment rate
§©wa
Civilian labor forceEmployedUnemployedUnemployment rate
Kansas
Civilian labor force ..............Employed.....UnemployedUnemployment rate .........
Kentucky
Civilian labor forceEmployed ...UnemployedUnemployment rate
Louisiana
Civilian labor forceEmployedUnemployedUnemployment rate
Maine
Civilian labor forceEmployedUnemployedUnemployment rate
Maryland
Civilian labor forceEmployedUnemployedUnemployment rate ...................
f^assaehusetts
Civilian labor force ...........EmployedUnemployedUnemployment rate ,
615.0595.5
19.53.2
703.4
33.74.8
6,381.95,994.4
387.56.1
3,168.53,005.5
163.05.1
1,623.31,545.2
78.14.8
1,463.81,383.5
80.45.5
1,976.91,869.2
107.75.4
2,057.01,937.7
119.35.8
667.731.34.5
2,881.62,759.4
122.34.2
3,394.13,219.8
174.35.1
615.2596.4
18.83.1
704.6671.3
33.34.7
6,400.36,006.2
394.16.2
3,177.33,006.8
170.65.4
1,623.31,544.6
78.74.8
1,464.41,384.9
79.55.4
1,975.31,870.6
104.65.3
2,057.91,940.6
117.35.7
699.1667.8
31.34.5
2,882.92,758.5
124.44.3
3,392.83,221.3
171.55.1
616.6597.5
19.23.1
705.6672.732.94.7
6,401.26,006.9
394.36.2
3,168.53,003.3
165.25.2
1,624.91,545.5
79.44.9
1,465.91,386.1
79.85.4
1,972.11,871.0
101.15.1
2,054.81,942.5
112.25.5
701.2668.5
32.64.7
2,884.22,759.4
124.84.3
3,391.43,222.5
168.95.0
616.S597.6
19.48.1
705.5673.132.44.6
6,406.86,018.7
388.28.1
3,170.63,006.4
164.25.2
1,624.81,544,8
80,04.9
1,466.41,387.4
79.C5.4
1,968.61,872.2
96.44.S
2,057.71,940.8
116.85.7
701.3668.233.14.7
2,884.82,762.1
122.64.3
3,389.23,223.5
165.74.9
617.6598.5
19.13.1
706.1674.232.04.5
6,415.66,023.7
391.96.1
3,173.83,007.8
166.05.2
1,625.21,544.5
80.65.0
1,467.41,388.4
79.05.4
1,968.41,873.0
95.44.8
2,068.71,949.8
119.05.8
702.3669.332.94.7
2,884.82,763.4
121.44.2
3,388.13,224.3
163.84.8
618.2599.3
18.93.1
706.6675.131.54.5
6,410.56,021.2
389.36.1
3,170.83,008.1
162.75.1
1,626.11,544.8
81.35.0
1,466.71,389.0
77.75.3
1,966.61,874.7
91.94.7
2,071.71,952.4
119.35.8
702.7670.232.54.6
2,886.82,765.9
120.84.2
3,386.43,224.8
161.64.8
618.3599.5
18.83.0
707.2676.231.04.4
6,409.26,022.8
386.46.0
3,171.13,007.6
163.55.2
1,628.01,546.1
81.95.0
1,468.31,390.8
77.55.3
1,967.71,875.8
91.94.7
2,069.91,952.0
117.95.7
702.9670.332.74.6
2,884.72,765.3
119.44.1
3,385.13,225.2
159.94.7
621.4603.2
18.32.9
714.9684.2
30.64.3
6,456.36,095.8
360.55.6
3,184.03,010.6
173.45.4
1,624.11,541.8
8S2.35.1
1,465.11,388.2
76.95.2
1,972.51,874.8
97.75.0
2,091.41,971.9
119.55.7
700.9670.4
30.64.4
2,893.02,773.7
119.34.1
3,371.33,210.9
160.44.8
627.8609.1
18.73.0
724.2694.329.94.1
6,465.46,082.7
382.75.9
3,202.23,018.2
184.15.7
1,636.41,553.4
83.15.1
1,464.41,384.9
79.55.4
1,980.81,878.0
102.75.2
2,094.31,968.9
125.36.0
701.4669.1
32.34.6
2,896.32,775.5
120.84.2
3,377.03,212,5
164.54.9
626.2608.3
17.42.8
725.4
30.54.2
6,449.06,086.2
362.85.6
3,207.03,027.8
179.25.6
1,643.11,559.8
83.35.1
1,465.61,386.7
78.95.4
1,983.31,878.3
105.05.3
2,081.61,971.8
109.95.3
701.7668.9
32.74.7
2,899.42,776.0
123.44.3
3,369.63,204.8
164.84.9
630.9612.5
18.42.9
728.6699.728.94.0
6,495.16,111.1
384.05.9
3,217.13,044.7
172.45.4
1,645.31,572.0
73.34.5
1,471.61,395.4
76.25.2
1,993.71,882.7
111.05.6
2,101.01,993.0
108.05.1
705.7672.5
33.34.7
2,915.22,790.9
124.34.3
3,377.53,219.7
157.84.7
625.2608.3
16.92.7
728.4
28.73.9
6,479.66,102.4
377.35.8
3,200.43,048.0
152.44.8
1,639.91,561.6
78.34.8
1,472.31,393.9
78.35.3
1,991.91,877.7
114.15.7
2,110.61,995.7
114.95.4
708.9673.135.75.0
2,935.72,810.9
124.84.3
3,373.83,213.0
160.74.8
630.4613.317.12.7
734.5705.529.03.9
6,441.16,053.6
387.66.0
3,186.53,023.6
163.05.1
1,638.51,562.8
75.84.6
1,463.01,387.4
75.75.2
1,988.91,874.8
114.15.7
2,113.41,998.6
114.85.4
707.1674.0
33.24.7
2,932.62,807.4
125.24.3
3,367.13,209.2
158.04.7
See footnotes at end of table.
161
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STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Michigan
Civilian labor forceEmployedUnemployedUnemployment rate .
Minnesota
Civilian labor forceEmployedUnemployedUnemployment rate .
Mississippi
Civilian labor forceEmployedUnemployedUnemployment rate .
Missouri
Civilian labor forceEmployedUnemployedUnemployment rate .
Montana
Civilian labor forceEmployedUnemployedUnemployment rate .
Nebraska
Civilian labor forceEmployedUnemployedUnemployment rate
Nevada
Civilian labor forceEmployedUnemployedUnemployment rate .
New Hampshire
Civilian labor forceEmployedUnemployedUnemployment rate .
New Jersey
Civilian labor forceEmployedUnemployedUnemployment rate ..
New Mexico
Civilian labor forceEmployedUnemployedUnemployment rate .
New York
Civilian labor forceEmployedUnemployedUnemployment rate .
5,075.14,719.4
355.77.0
2,959.72,823.0
136.74.6
1,329.01,247.4
81.66.1
3,034.42,860.2
174.25.7
484.1462.7
21.34.4
986.7949.836.83.7
1,177.11,125.6
51.54.4
723.1695.427.8
3.8
4,387.74,176.9
210.84.8
911.0859.052.05.7
9,357.18,808.8
548.35.9
5,080.84,718.9
361.87.1
2,957.62,822.3
135.34.6
1,331.41,247.1
84.36.3
3,037.12,858.2
178.85.9
485.0463.6
21.34.4
950.236.73.7
1,179.31,128.5
50.84.3
723.7696.427.33.8
4,394.24,181.4
212.84.8
912.2860.4
51.85.7
9,359.48,823.4
536.05.7
5,078.54,719.3
359.27.1
2,956.52,819.0
137.44.6
1,333.01,246.3
86.76.5
3,036.62,858.4
178.25.9
483.9462.621.34.4
987.2949.837.53.8
1,180.11,130.1
50.14.2
723.8697.326.4
3.7
4,395.74,186.9
208.84.8
912.6861.051.6
5.7
9,361.18,833.5
527.65.6
5,086.24,725.1
361.17.1
2,952.12,818.4
133.84.5
1,336.91,247.2
89.76.7
3,035.62,857.5
178.15.9
484.1462.721.34.4
987.8949.937.93.8
1,183.31,133.9
49.44.2
724.0
25.73.5
4,391.94,189.1
202.84.6
914.4862.9
51.55.6
9,368.68,845.6
523.05.6
5,094.64,730.2
364.47.2
2,960.62,827.1
133.54.5
1,339.31,247.4
91.96.9
3,036.52,859.3
177.25.8
485.5464.2
21.34.4
987.7950.437.33.8
1,186.21,137.4
48.74.1
724.2699.225.03.5
4,392.34,194.8
197.54.5
916.9865.551.35.6
9,368.58,856.7
511.85.5
5,097.84,721.3
376.57.4
2,961.52,830.2
131.34.4
1,340.71,248.3
92.56.9
3,041.82,864.0
177.85.8
487.7466.4
21.34.4
987.4950.536.83.7
1,188.01,139.9
48.14.0
724.7700.1
24.63.4
4,392.44,201.0
191.44.4
918.3867.1
51.25.6
9,372.78,865.1
507.65.4
5,092.94,708.5
384.57.5
2,966.32,831.0
135.34.6
1,337.31,248.3
89.06.7
3,040.32,866.5
173.95.7
488.0466.8
21.34.4
988.0950.4
37.63.8
1,190.01,142.5
47.54.0
725.5700.924.53.4
4,389.64,203.6
186.04.2
919.5
51.15.6
9,392.88,871.4
521.45.6
5,086.94,727.9
359.07.1
2,963.52,834.4
129.14.4
1,345.31,250.0
95.27.1
3,024.22,842.0
182.26.0
487.9466.5
21.44.4
983.9944.8
39.04.0
1,194.81,147.6
47.13.9
726.6701.625.0
3.4
4,390.14,217.9
172.23.9
922.0873.548.5
5.3
9,357.38,887.8
469.45.0
5,110.64,730.0
380.67.4
2,967.42,842.8
124.64.2
1,343.41,251.9
91.56.8
3,024.22,849.7
174.45.8
488.7466.5
22.24.5
990.9952.538.43.9
1,202.41,155.3
47.23.9
727.2699.627.73.8
4,398.54,205.6
192.84.4
930.0877.7
52.45.6
9,386.38,907.9
478.45.1
5,099.44,745.8
353.66.9
2,970.42,840.0
130.44.4
1,343.71,249.5
94.17.0
3,016.92,844.0
172.95.7
490.2467.6
22.74.6
990.1950.9
39.24.0
1,207.91,160.5
47.43.9
729.6702.5
27.13.7
4,396.34,207.7
188.54.3
935.2880.0
55.25.9
9,331.88,899.6
432.24.6
5,142.44,780.7
361.77.0
2,970.52,851.7
118.84.0
1,343.31,252.1
91.26.8
3,023.62,854.6
169.05.6
469.121.54.4
950.338.63.9
1,217.31,168.8
48.44.0
733.8708.7
25.13.4
4,413.54,230.2
183.24.2
942.0885.256.86.0
9,410.28,953.2
457.04.9
5,129.44,766.1
363.37.1
2,975.32,848.7
126.74.3
1,349.61,253.5
96.17.1
3,031.32,860.5
170.85.6
491.3469.3
21.94.5
986.9947.239.74.0
1,212.91,164.2
48.74.0
734.7708.326.43.6
4,406.44,233.2
173.23.9
940.0884.056.06.0
9,423.78,949.9
473.85.0
5,090.84,745.7
345.16.8
2,956.52,846.9
109.63.7
1,343.01,248.7
94.37.0
3,017.72,855.4
162.25.4
492.9471.1
21.74.4
982.0944.837.23.8
1,216.31,167.9
48.44.0
733.7707.825.9
3.5
4,415.44,237.6
177.84.0
939./885.754.05.7
9,365.98,907.3
458.74.9
See footnotes at end of table.
162
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STATE LABOR FORCE DATASEASONALLY ADJUSTED
(>2* Labor force status by State, seasonally adjusted-—Continued
(Numbers in thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
Morth Carolina
Civilian labor forceEmployed...UnemployedUnemployment rate ....................
North Dakota
Civilian labor forceEmployed...Unemployed ...............................Unemployment rate
Ohio
Civilian labor force .............EmployedUnemployedUnemployment rate ....................
Oklahoma
Civilian labor forceEmployedUnemployed ..........Unemployment rate ....................
Oregon
Civilian labor force ........................Employed...UnemployedUnemployment rate
Pennsylvania
Civilian labor forceEmployedUnemployed ...............................Unemployment rate
Rhode Island
Civilian labor forceEmployedUnemployedUnemployment rate
South Carolina
Civilian labor forceEmployedUnemployedUnemployment rate
South Dakota
Civilian labor forceEmployed...UnemployedUnemployment rate
Tennessee
Civilian labor forceEmployedUnemployedUnemployment rate
Texas
Civilian labor forceEmployed....UnemployedUnemployment rate
4,251.14,014.1
237.15.6
354.0342.1
11.93.4
5,888.35,522.7
365.66.2
1,713.81,627.2
86.65.1
1,857.01,718.5
138.47.5
6,258.35,912.7
345.65.5
562.9533.6
29.45.2
2,046.31,905.5
140.86.9
427.9412.8
15.13.5
2,907.52,752.1
155.45.3
11,027.710,356.6
671.26.1
4,260.74,032.5
228.25.4
354.4342.4
12.03.4
5,888.75,524.4
364.36.2
1,709.31,628.6
80.74.7
1,858.41,720.7
137.77.4
6,281.15,932.9
348.25.5
563.9534.929.0
5.1
2,047.31,907.7
139.66.8
428.2413.1
15.13.5
2,903.32,748.3
155.15.3
11,039.810,370.8
669.06.1
4,267.74,037.8
229.95.4
354.8342.7
12.23.4
5,888.95,525.8
363.16.2
1,708.31,629.9
78.44.6
1,857.81,719.1
138.87.5
6,282.85,929.9
352.95.6
561.9533.4
28.65.1
2,051.31,910.0
141.36.9
428.5413.5
15.03.5
2,892.42,737.5
154.95.4
11,052.410,385.6
666.86.0
4,270.74,041.2
229.55A
355.4343.C
12.53.5
5.889.C5,527.1
361.66.1
1,631.280.44.7
i,857.61,721.1
136.47.3
6,300.45,949.C
351.65.6
561 .£!
533.fi28.1
5.0
2,055.21,912.2
143.17.0
428.7413.6
15.13.5
2,894.82,740.0
154.95.8
11,063.510,399.8
663.76.0
4,260.84,032.1
228.65.4
355.8343.3
12.53.5
5,892.95,528.2
364.86.2
1,713.01,632.5
80.54.7
1,861.71,726.2
135.57.3
6,308.85,954.4
354.45.6
561.8534.127.6
4.9
2,057.21,914.4
142.76.9
429.3414.1
15.23.5
2,899.82,744.9
154.95.3
11,073.010,412.6
660.46.0
4,264.74,037.1
227.65.3
355.6343.6
12.13.4
5,890.85,529.0
361.76.1
1,713.71,633.7
80.04.7
1,861.71,728.1
133.67.2
6,320.25,965.1
355.15.6
561.0533.827.2
4.8
2,061.31,916.7
144.77.0
429.5414.6
14.83.5
2,902.82,747.8
155.05.3
11,082.810,425.9
656.95.9
4,264.24,037.0
227.2* 5.3
356.6343.9
12.73.6
5,887.15,529.8
357.36.1
1,711.31,635.0
76.34.5
1,858.41,728.2
130.27.0
6,325.75,968.2
357.55.7
560.1533.4
26.74.8
2,061.61,918.9
142.76.9
430.1415.1
15.13.5
2,902.72,747.5
155.25.3
11,093.910,439.5
654.55.9
4,284.54,069.4
215.15.0
354.9343.3
11.63.3
5,890.95,542.5
348.35.9
1,720.31,640.4
79,84,6
1,852,01,7345
117.56.3
6,337.66,013.5
324.15.1
558.5533.924.64.4
2,072.01,927.9
144.17.0
429.7414.2
15.53.6
2,914.52,741.6
172.95.9
11,149.610,491.5
658.15.9
4,281.54,050.0
231.55.4
356.6344.6
11.93.3
5,918.75,539.3
379.46.4
1,723.71,649.9
73.8. 4.3
1,866.51,745.0
121,56.5
6,333.56,000.2
333.35.3
561.7536.9
24.84.4
2,076.11,928.4
147.77.1
430.3414.4
15.93.7
2,924.02,751.0
173.05.9
11,164.810,500.4
664.46.0
4,286.14,065.3
220.85.2
356.2344.5
11.73.3
5,923.95,550.0
373.96.3
1,720.11,644.1
76.04.4
1,863.11,748.9
114.26.1
6,336.05,993.2
342.85.4
564.0538.725.4
4.5
2,070.71,931.0
139.76.7
429.9413.9
16.13.7
2,902.02,732.4
169.75.8
11,144.710,518.6
626.15.6
4,301.94,073.0
228.95.3
356.0344.5
11.53.2
5,947.95,585.2
362.76.1
1,725.51,648.2
77.34.5
1,873.31,751.4
121.96.5
6,329.26,016.8
312.44.9
567.6541.0
26.64.7
2,072.51,937.4
135.16.5
430.4414.4
15.93.7
2,907.12,737.8
169.35.8
11,208.510,587.2
621.35.5
4,308.34,089.2
219.25.1
355.4342.9
12.43.5
5,930.35,567.4
362.86.1
1,722.91,644.7
78.14.5
1,865.11,745.5
119.66.4
6,350.06,045.0
305.04.8
570.7544.825.9
4.5
2,068.71,938.4
130.26.3
428.3411.3
17.04.0
2,907.22,727.7
179.56.2
11,217.010,595.6
621.45.5
4,308.64,078.5
230.15.3
354.1342.0
12.13.4
5,897.75,535.2
362.56.1
1,721.31,646.8
74.54.3
1,865.01,743.0
122.16.5
6,287.35,973.1
314.25.0
569.0541.727.3
4.8
2,062.91,932.0
130.96.3
429.1412.7
16.33.8
2,878.82,705.0
173.86.0
11,166.010,594.7
571.35.1
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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STATE LABOR FORCE DATASEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State2004
June July Aug. Sept. Oct. Nov. Dec.
2005
Jan. Feb. Mar. Apr. May JuneP
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
Puerto Rico
Civilian labor forceEmployedUnemployedUnemployment rate .
1,203.81,140.1
63.75.3
353.0340.5
12.53.5
3,816.63,673.4
143.23.8
3,234.43,033.8
200.66.2
789.3746.6
42.75.4
3,069.52,919.2
150.34.9
281.8270.6
11.24.0
1,362.61,226.8
135.710.0
1,204.91,141.5
63.45.3
353.4340.9
12.53.5
3,821.03,679.3
141.83.7
3,230.73,033.7
196.96.1
789.2746.642.65.4
3,071.42,920.9
150.44.9
282.4271.1
11.34.0
1,365.21,229.8
135.39.9
1,206.01,142.9
63.05.2
353.5340.8
12.73.6
3,823.43,680.8
142.63.7
3,235.23,038.8
196.46.1
789.0746.542.55.4
3,071.62,922.4
149.24.9
283.1271.5
11.64.1
1,383.01,237.7
145.310.5
1,206.61,144.3
62.35.2
353.5341.1
12.43.5
3,822.63,684.9
137.73.6
3,243.33,048.2
195.26.0
787.8746.441.4
5.3
3,068.82,923.6
145.24.7
284.2271.9
12.24.3
1,393.01,257.4
135.69.7
1,207.71,145.7
62.05.1
353.4341.3
12.13.4
3,831.43,693.3
138.13.6
3,250.83,055.1
195.86.0
787.4746.341.05.2
3,068.52,924.7
143.84.7
284.4272.3
12.14.2
1,385.71,243.8
141.910.2
1,208.11,147.1
61.15.1
354.0341.9
12.13.4
3,831.73,695.5
136.23.6
3,261.73,069.0
192.65.9
785.5746.2
39.35.0
3,065.72,925.5
140.24.6
284.0272.8
11.23.9
1,381.71,234.7
147.010.6
1,208.61,148.2
60.45.0
354.7342.0
12.73.6
3,830.83,696.7
134.13.5
3,271.43,078.0
193.45.9
784.5746.1
38.54.9
3,070.82,926.2
144.64.7
283.8273.2
10.63.7
1,387.11,234.8
152.311.0
1,209.51,150.6
58.94.9
353.1340.8
12.23.5
3,847.23,720.4
126.83.3
3,251.43,074.5
177.05.4
788.5751.5
37.04.7
3,077.32,928.5
148.84.8
283.9274.1
9.33.4
1,383.81,230.3
153.611.1
1,220.01,161.1
58.94.8
353.3340.8
12.53.5
3,856.93,730.5
126.43.3
3,260.33,080.8
179.55.5
790.6751.3
39.35.0
3,071.12,921.0
150.14.9
283.2274.8
8.32.9
1,360.31,229.8
130.59.6
1,224.31,165.2
59.14.8
352.7340.8
11.93.4
3,861.43,733.6
127.83.3
3,253.63,085.5
168.15.2
797.9756.2
41.75.2
3,051.62,911.1
140.44.6
283.4274.6
8.93.1
1,378.31,225.1
153.311.1
1,233.71,173.1
60.64.9
352.3340.7
11.63.3
3,897.63,756.7
140.83.6
3,270.53,091.7
178.75.5
798.1757.240.9
5.1
3,058.52,919.4
139.14.5
283.8274.0
9.83.5
1,366.91,213.1
153.711.2
1,235.71,175.6
60.14.9
351.5340.7
10.83.1
3,907.93,766.2
141.73.6
3,269.53,085.2
184.35.6
791.4755.6
35.84.5
3,049.72,905.0
144.64.7
285.5273.9
11.64.1
1,404.21,252.2
152.010.8
1,236.91,179.1
57.84.7
352.0339.8
12.23.5
3,910.63,767.8
142.73.6
3,282.63,100.7
181.95.5
789.3751.3
38.04.8
3,038.12,898.8
139.44.6
286.1275.5
10.73.7
1,426.91,263.1
163.911.5
P m preliminary.NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a
monthly household survey similar to the Current Population Survey. Estimates for
the latest month are revised the following month, and at least 3 years of estimatesare subject to revision at the end of the year, to incorporate updated inputs andreestimation.
164
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STATE AND AREA LABOR FORCE DATA1MOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area.
(Numbers in thousands)
State and area
Alabama .Anniston-OxfordAubum-OpelikaBirmingham-HooverDecaturDothanFlorence-Muscle Shoals .GadsdenHuntsvilleMobile . . .MontgomeryTuscaloosa ....
AlaskaAnchorageFairbanks .....
Arizona .Flagstaff . . . . «..Phoenix-Mesa-Scottsdale . ..Prescott .........Tucson . .....Yuma .
ArkansasFayettevilie-SpringdaSe-Rogers .Fort SmithHot SpringsJonesboro .Little Rock-North Little RockPine Bluff
CaliforniaBakersfield . . . .ChicoElCentro . . .Fresno •Hanford-CorcoranLos Angeles-Long Beach-Santa Ana .MaderaMercedModesto.....Napa .Oxnard-Thousand Oaks-VenturaReddingRiverside-San Bernardino-OntarioSacramento—Arden-Arcade—RosevilleSalinasSan Diego-Carlsbad-Sah Marcos ...San Francisco-Oakland-FremontSan Jose-Sunnyvale-Santa ClaraSan Luis Obispo-Paso RobSes...Santa Barbara-Santa Maria-GoletaSanta Cruz-Watsonville ....Santa Rosa-Petaluma .StocktonVallejo-Fairfieid . ..Vssalla-PortervslleYubaCi ty . . .
Colorado . . .BoulderColorado SpringsDenver-AuroraFort Gollins-Loveland ...... . . . . .Grand Junction .Greeley „Pueblo . ..
ConnecticutBridgeport-Stamford-NorwalkDanbury . . .... . . .Hartford-West Hartford-East HartfordMew Haven . .Norwich-New LondonWaterbury
Civilian labor force
May
2004
2,136.054.062.3
528.472.165.566.847.2
191.6179.0165.793.7
331.5176.844.2
2,754.866.5
1,839.385.9
436.473.2
1,305.5206.1131.940.755.8
323.946.2
17,416.9321.2
97.361.0
411.654.9
6,340.361.698.6
222.372.1
415.982.5
1,633.6991.3215.4
1,473.32,150.1
845.5130.6214.3145.7253.2291.1205.8187.566.3
2,493.9165.3294.2
1,283.4162.469.1
108.168.3
1,794.8456.3
88.9561.0300.1146.299.3
2005
2,134.253.762.7
526.271.666.366.346.5
193.3180.4166.896.6
338.7181.545.5
2,806.268.0
1,868.588.6
441.981.1
1,351.1218.4134.943.157.6
331.647.4
17,706.3324.393.664.2
409.055.0
6,487.062.199.7
227.773.3
421.184.7
1,667.51,009.6
215.41,503.72,175.1
842.4132.7219.6146.9257.0293.2210.2181.267.0
2,540.8170.0302.8
1,310.5165.669.3
110.769.7
1,810.0460.1
89.3568.3301.1147.8100.2
June
2004
2,161.354.862.4
533.673.066.266.747.8
193.3181.0167.994.6
339.0178.443.3
28778.968.4
1,855.387.4
435.276.1
13323.7208.9133.641.356.5
330.446.2
17,546.2320.7
98.160.4
411.755.3
6,364.062.7
101.6227.5
73.3418.0
84.31,649.41,002.2
218.51,489.32,169.1
854.5131.7217.0149.4256.5286.7208.1186.466.2
2,536.6165.2299.1
1,295.9165.269.6
110.068.8
1,821.4463.9
90.4567.3303.6149.3101.3
2005P
2,151.854.262.8
529.972.266.867,24(18
1955.2182.0188.3
97.2
347.719&8
44,7
2,837.470A
1,8813.490.2
442.632,4
1,357.9221.3131x6
sii2
47.9
17,844.8321.2
99.6§3.3
41:3.65JH.6
6,494,66JL6
101.923.M2
42&086.9
1,68111.81,024.1
218.91,522.62,199.5
854.9134.6222.0150.3260.5290.4212.9180.1
67.5
2,571.3169.5304.8
1,314.6167.5
70.1111.9
69.8
1,827.6464.8
90.4570.9303.0152.0101.2
Unemployed
Number
May
2004
108.22.62.3
23.43.92.84.52.78.0
10.78.34.3
24.211.02.8
133.73.4
78.53.5
19.313.8
73.07.56.82.43.0
16.33.6
1,045.829.0
6.79.1
40.05.6
375.95.4
10.220.6
3.020.3
5.888.951.514.068.0
116.755.7
5.58.88.8
12.022.611.718.26.6
130.67.6
15.669.5
6.93.25.44.6
89.921.3
3.429.615.16.76.4
2005
82.82.11.9
18.93.02.23.21.96.17.66.63.2
21.19.62.4
128.43.1
74.23.3
18.415.0
66.06.86.02.12.7
14.93.2
882.724.55.98.4
33.04.7
320.74.58.8
17.82.7
17.05.3
76.442.911.657.895.443.0
4.87.77.6
10.219.210.414.75.8
127.57.4
16.066.5
7.03.25.54.5
95.322.9
3.731.316.26.96.6
June
2004
124.43.02.7
27.04.43.24.43.29.1
12.69.75.0
26.312.03.1
146.04.0
85.63.8
21.014.3
81.68.77.62.63.4
18.34.0
1,131.832.77.3
10.141.5
6.1404.3
5.610.621.4
3.322.4
6.298.955.714.375.4
126.959.2
6.19.99.0
13.224.612.721.0
6.9
145.98.6
18.177.6
7.83.66.05.2
97.223.0
3.732.016.27.26.7
2005P
104.02.72.3
23.93.72.73.82.47.69.78.14.1
22.810.42.6
131.33.6
74.83.5
19.114.5
70.87.46.32.23.0
15.93.5
968.326.66.69.5
34.85.0
338.74.69.5
18.93.0
19.55.6
88.548.612.267.0
108.847.7
5.58.97.9
11.521.811.716.26.2
133.07.9
16.869.87.33.45.74.8
98.623.5
3.832.316.77.46.7
Percent of labor force
May
2004
5.14.83.74.45.44.36.85.74.26.05.04.5
7.36.26.3
4.95.14.34.14.4
18.9
5.63.65.2I5.95.45.07.8
S.O9.06.9
14.99.7
10.25.98.8
10.39.34.14.97.05.45.26.54.65.48.64.24.16.04.77.85.79.7
10.0
5.24.65.35.44.24.65.06.7
5.04.73.95.35.04.66.4
2005
3.94.03.03.64.23.34.84.23.24.23.93.3
6.25.35.2
4.64.64.03.74.2
18.5
4.93.14.54.94.84.56.8
5.07.66.0
13.18.18.54.97.28.97.83.64.06.24.64.25.43.84.45.13.63.55.24.06.65.08.18.6
5.04.45.35.14.24.64.96.5
5.35.04.15.55.44.76.6
June
2004
5.85.54.35.16.14.96.66.74.76.95.85.3
7.86.77.1
5.35.84.64.34.8
18.9
6.24.25.76.36.05.58.6
6.510.27.5
16.710.111.16.49.0
10.59.44.45.47.36.05.66.65.15.96.94.64.56.05.18.66.1
11.210.3
5.85.26.06.04.75.25.57.5
5.35.04.15.65.34.86.6
2005P
4.85.03.74.55.14.15.75.13.95.34.84.2
6.65.75.8
4.65.14.03.94.3
17.6
5.23.44.65.15.14.77.3
5.48.36.6
15.08.49.05.27.39.38.14.04.66.55.24.75.64.44.95.64.14.05.24.47.55.59.09.1
5.24.75.55.34.44.95.16.8
5.45.14.25.75.54.96.6
See footnotes at end of table.
1L65
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian labor force
May
2004 2005
June
2004 2005P
Unemployed
Number
May
2004 2005
June
2004 2005P
Percent of labor force
May
2004 2005
June
2004 2005P
Delaware.Dover...
District of ColumbiaWashington-Ariington-Alexandria .
Florida .....Cape Coral-Fort MyersDeltona-Daytona Beach-Ormond Beach .Fort Walton Beach-Crestview-DestinGainesvilleJacksonvilleLakelandMiami-Fort Lauderdale-Miami BeachNaples-Marco IslandOcalaOrlandoPalm Bay-Melboume-TitusvillePanama City-Lynn HavenPensacola-Ferry Pass-BrentPort St. Lucie-Fort PiercePunta GordaSarasota-Bradenton-Venice
Tampa-St. Petersburg-Clearwater..Vero Beach
GeorgiaAlbanyAthens-Clarke CountyAtlanta-Sandy Springs-Marietta.,Augusta-Richmond CountyBrunswickColumbusDaitonGainesvilleHinesville-Fort StewartMaconRomeSavannahValdostaWarner Robins
HawaiiHonolulu
IdahoBoise City-Nampa....Coeur d'AleneIdaho FallsLewistonPocatello
IllinoisBloomington-NormalChampaign-UrbanaChicago-Naperville-JolietDanvilleDavenport-Moline-Rock Island .DecaturKankakee-BradleyPeoriaRockfordSpringfield
IndianaAndersonBloomingtonColumbusElkhart-Goshen.EvansvilleFort WayneIndianapolisKokomoLafayette
420.669.1
294.02,790.2
8,373.3247.7231.2
93.0127.2607.0248.2
2,611.1135.7116.3957.8248.4
78.9195.7163.260.2
296.8172.8
1,266.955.8
4,371.771.794.4
2,433.5247.550.4
122.364.078.826.5
107.047.8
154.361.959.3
613.9431.2
700.6266.7
64.156.328.743.7
6,361.583.8
115.44,707.1
37.2195.751.651.7
182.3162.0108.8
3,173.563.591.236.0
100.1180.2210.4869.747.792.7
430.871.7
295.52,873.3
8,654.0259.2238.2
98.4131.9622.8255.3
2,696.3141.6119.2995.2255.8
81.5201.1169.962.6
311.5175.9
1,305.256.1
4,479.273.697.2
2,495.5251.4
51.7123.964.680.627.5
108.749.4
159.363.560.7
623.6438.7
727.1278.1
67.959.829.244.4
6,458.286.2
117.54,763.3
37.6196.252.952.2
187.6164.7111.4
3,214.064.292.037.3
102.3182.9211.4882.547.794.2
425.569.5
300.82,821.4
8,429.9247.9232.3
95.0125.2614.1248.1
2,631.9135.3116.8967.1251.5
80.5197.2163.760.2
298.0172.7
1,279.956.2
4,401.672.795.2
2,445.8249.1
50.9124.164.379.527.1
107.548.5
154.862.460.1
617.3432.9
710.7268.8
65.057.328.843.2
6,455.684.6
113.44,777.3
37.6198.652.752.9
185.6165.0110.6
3,207.263.992.336.7
102.5182.6211.9879.747.689.8
435.672.1
301.52,902.6
8,696.1259.1240.1100.2129.9631.0255.7
2,700.2141.6120.1
1,006.0258.2
83.6202.5170.162.7
315.2175.9
1,314.556.2
4,501.274.397.8
2,506.0252.4
52.0125.065.181.127.7
109.249.9
159.563.561.2
634.5445.7
744.2283.7
69.461.029.544.7
6,529.085.3
114.94,821.1
37.7198.853.852.8
189.7166.7112.5
3,233.664.993.137.3
103.3184.3213.8892.847.591.2
15.72.2
22.4101.2
380.48.9
10.03.14.4
28.511.2
131.34.85.2
42.110.53.48.58.02.6
11.46.9
55.83.1
189.53.53.1
106.112.5
1.85.82.42.91.45.01.95.92.02.1
18.712.5
30.510.83.11.71.41.9
384.93.54.9
286.83.0
10.33.53.69.6
11.75.4
160.03.54.21.54.08.3
10.539.12.74.3
16.22.3
22.9103.7
328.18.08.82.84.0
24.49.9
109.54.14.6
36.29.42.97.77.22.49.96.0
49.32.6
223.63.93.8
123.614.42.36.42.93.41.66.02.66.92.52.7
15.210.4
25.08.72.41.51.31.5
362.63.44.4
278.42.39.03.13.18.49.84.8
148.33.44.31.63.98.39.3
36.72.53.8
19.02.8
25.7113.4
434.210.311.33.65.1
33.813.5
146.25.95.9
47.412.03.8
10.19.72.9
13.17.9
63.23.9
226.54.33.8
125.015.22.67.12.93.41.75.92.47.52.52.6
23.916.2
30.911.32.91.91.51.9
410.13.85.4
301.73.2
10.83.93.9
10.512.46.1
164.83.64.21.54.18.7
10.839.72.84.3
19.42.8
22.6109.5
366.98.99.73.24.5
28.611.5
119.65.15.2
40.010.53.28.98.32.6
11.16.8
54.73.1
254.04.64.5
139.415.92.67.53.34.01.96.82.98.32.93.2
21.014.5
26.49.62.41.71.41.7
407.73.64.9
316.22.59.53.43.29.2
10.45.3
163.73.94.81.84.59.2
10.340.52.74.2
3.73.2
7.63.6
4.53.64.33.33.54.74.55.03.54.54.44.24.34.34.94.23.84.04.45.5
4.34.93.34.45.03.74.73.83.75.44.64.13.83.33.5
3.02.9
4.44.14.83.04.84.4
6.14.14.26.18.15.36.96.95.37.25.0
5.05.54.54.24.04.65.04.55.64.7
3.73.3
7.73.6
3.83.13.72.83.03.93.94.12.93.83.63.73.53.84.23.83.23.43.84.7
5.05.33.95.05.74.55.24.54.35.85.55.24.34.04.5
2.42.4
3.43.13.52.64.53.4
5.63.93.85.86.14.65.86.04.55.94.3
4.65.24.74.43.84.54.44.25.34.0
4.54.1
8.64.0
5.24.14.93.84.15.55.45.64.45.14.94.84.75.15.94.94.44.64.96.9
5.15.84.05.16.15.05.74.64.36.45.54.94.94.14.4
3.93.7
4.34.24.53.35.34.5
6.44.54.86.38.45.47.57.45.77.55.5
5.15.64.64.14.04.85.14.55.84.8
4.53.9
7.53.8
4.23.44.03.23.54.54.54.43.64.34.04.13.84.44.94.23.53.94.25.5
5.66.24.65.66.35.16.05.14.97.06.25.75.24.65.2
3.33.2
3.63.43.52.84.83.8
6.24.24.36.66.54.86.46.14.86.24.7
5.16.15.14.84.45.04.84.55.74.6
See footnotes at end of table.
166
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian laoor Torce
May
2004
53.157.7
160.081.3
1,613.246.5
135.8287.0
49.198.474.190.6
1,450.563.3
123.7300.2
1,981.457.552.5
226.8605.2
55.2
2,049.064.6
347.391.4
120.690.682.3
619.6174.5
696.071.255.8
201.2
2,875.31,341.6
45.6115.661.1
3,381.9135.4
2,445.273.783.138.4
344.7289.7
5,071.3186.973.857.4
2,192.1214.4403.0134.480.0
172.4249.3
77.990.478.8
101.2
2,943.7144.9
2005
53.557.5
164.681.9
1,632.746.3
136.7294.0
48.798.674.091.2
1,462.563.6
123.8302.1
1,998.959.252.9
229.0611.8
55.9
2,109.466.0
355.494.4
124.493.885.5
625.9179.8
706.371.256.5
206.5
2,934.11,366.8
45.2117.562.5
3,357.3134.7
2,431.473.182.638.1
341.9287.5
5,131.5191.975.057.4
2,191.8218.6411.1137.880.9
176.0255.4
79.791.679.7
102.6
2,969.9146.0
June
2004
53.856.4
162.081.0
1,632.344.8
137.1290.0
49.398.274.489.8
1,482.263.6
126.3304.6
2,009.957.353.4
229.8616.5
55.5
2,092.666.6
357.293.8
123.292.284.3
627.0178.0
710.271.356.3
205.7
2,908.11,355.5
45.9117.662.0
3,436.5144.6
2,476.474.784.939.7
347.9293.7
5,129.0189.074.257.9
2,217.3215.5406.4134.680.2
172.7249.9
79.191.479.8
102.1
2,985.6146.2
20O5P
53.955.7
165.781.1
1,652.9415.3
137.9
2S7.34-9.899A74.0£i2.7
1S4&!5.5€i3.4
• 12:5.3,'303.9
2,1)27.8m.963.8
;>aai(52IO.O
53.5
2,155.1
a 7.5•3*13.1
$17.1125.7JI6.2es.6
340.31B3.2
719.170.8I57.O
210.5
2,967.51,381.2
4-5.8118.902.9
3,41'2.7144.1
2,4134.074.284.239.2
344.7291.2
5,154.9191.574.457.0
2,220.0215.6410.1138.080.4
175.7252.7
79.591.679.7
101.3
2,989.7146.2
Unemployed
Number
May
2004
3.23.27.75.5
71.41.46.4
12.72.02.93.63.9
76.42.47.1
17.9
104.72.62.89.5
31.12.8
110.03.5
20.34.45.35.14.3
26.29.9
29.83.12.26.3
116.658.72.74.92.6
172.45.9
121.34.55.41.7
18.815.6
346.78.55.34.4
145.817.828.3
7.66.2
10.814.34.97.26.18.9
122.57.9
2005
2.73.27.54.9
71.81.56.2
12.32.22.93.93.9
72.62.46.4
16.3
112.62.92.9
10.233.53.2
106.63.3
18.04.25.14.64.4
29.89.2
33.93.22.87.4
119.659.62.64.52.8
151.15.4
105.14.24.91.6
17.113.6
355.89.15.24.3
157.317.926.1
7.55.7
10.516.05.06.85.98.4
113.97.2
June
2004
3.13.37.95.7
76.91.66.8
13.32.23.23.84.3
85.42.87.7
19.6
111.02.82.9
10.232.73.1
143.64.7
26.45.86.96.45.6
35.212.7
31.33.22.47.1
128.864.92.95.32.8
186.46.3
131.54.95.61.9
20.416.7
372.89.45.44.6
161.918.229.9
8.16.3
11.515.75.47.46.59.3
146.59.0
2005P
2.93.48.15.2
73.31.66.3
12.42.42.93.84.2
79.22.76.9
17.4
120.93.23.4
11.135.43.5
138.34.6
24.35.56.96.15.9
35.612.3
31.83.12.77.3
129.164.42.85.02.8
163.45.6
114.14.55.11.7
18.414.5
357.18.54.93.9
170.216.825.1
7.25.3
10.015.94.76.35.68.0
115.57.1
Percent of labor force
May
2004
6.05.54.86.8
4.43.04.74.44.12.94.84.3
5.33.75.76.0
5.34.55.34.25.15.1
5.45.35.84.84.45.65.24.25.7
4.34.34.03.1
4.14.46.04.24.3
5.14.45.06.26.44.55.55.4
6.84.67.17.66.78.37.05.67.86.25.76.38.07.88.8
4.25.4
2005
5.15.64.6 -6.0
4.43.34.64.24.62.95.34.3
5.03.85.25.4
5.64.95.64.45.55.8
5.15.05.14.54.14.95.14.85.1
4.84.54.93.6
4.14.45.73.94.5
4.54.04.35.76.04.15.04.7
6.94.76.97.57.28.26.35.47.06.06.36.37.47.48.2
3.84.9
June
2004
5.85.84.97.0
4.73.64.94.64.53.35.24.8
5.84.46.16.4
5.54.95.54.45.35.7
6.97.07.46.15.66.96.75.67.1
4.44.54.33.5
4.44.86.44.54.5
5.44.35.36.66.64.75.95.7
7.35.07.38.07.38.57.46.07.96.76.36.98.18.19.2
4.96.2
2005P
5.46.24.96.5.
4.43.64.64.24.83.05.24.5
5.34.25.55.7
6.05.36.34.85.76.2
6.46.96.75.75.56.36.85.66.7
4.44.44.63.5
4.34.76.24.24.5
4.83.94.66.06.04.35.35.0
6.94.46.66.97.77.86.15.26.65.76.36.06.97.07.9
3.94.9
Indiana—ContinuedMichigan City-La PorteMuncie.South Bend-MishawakaTerre Haute
Iowa.....AmesCedar RapidsDes MoinesDubuqueIowa CitySioux CityWaterloo-Cedar Falls
KansasLawrenceTopekaWichita
KentuckyBowling GreenElizabethtownLexington-FayetteLouisvilleOwensboro
LouisianaAlexandria..Baton RougeHouma-Bayou Gane-Thibodaux.....LafayetteLake CharlesMonroeNew Orleans-Metairie-Kenner........Shreveport-Bossier City
MaineBangorLewiston-AuburnPortland-South Portland-Biddeford,
MarylandBaltimore-TowsonCumberlandHagerstown-MartinsburgSalisbury.........................................
MassachusettsBarnstable TownBoston-Cambridge-QuincyLeominster-Fitchburg-GardnerNew BedfordPittsfieldSpringfield.....Worcester
WSIshiganAnn ArborBattle CreekBay CityDetroit-Warren-Livonia .......Flint .,Grand Rapids-WyomingHolland-Grand HavenJacksonKalamazoo-Portage .........Lansing-East LansingMonroeMuskegon-Norton Shores ..,Niles-Benton Harbor .......Saginaw-Saginaw Township North..
MinnesotaDuluth
See footnotes at end of table.
167
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian laoor rorce
May
2004
1,840.2102.8104.2
1,328.0120.462.0
261.069.9
3,029.091.079.683.5
1,027.765.7
1,449.2209.8
482.387.440.359.7
986.5166.1438.2
1,170.027.3
821.6207.7
719.3105.043.581.2
4,363.1134.157.0
189.468.7
904.9388.6
53.182.675.3
9,247.5447.6122.4581.540.565.954.191.3
8,997.9317.5526.3326.2139.9
4,250.6195.369.5
772.6241.2140.051.6
356.780.8
179.0
2005
1,854.1104.9105.8
1,352.8120.063.2
262.571.2
3,035.691.580.084.2
1,033.265.6
1,455.2213.7
491.682.940.458.2
990.4169.0446.1
1,209.127.2
859.2210.3
731.2106.344.382.2
4,397.8133.857.8
192.969.4
934.7402.0
55.786.078.1
9,361.7456.9122.7585.139.967.555.293.7
9,087.6324.7525.4331.4141.3
4,312.3199.9
70.2798.5244.0141.151.9
361.883.7
180.2
June
2004
1,862.1105.0103.8
1,345.1122.4
62.9266.0
70.9
3,084.190.981.385.0
1,047.767.8
1,471.9213.7
489.682.439.557.0
996.4165.8441.8
1,178.527.4
825.5209.0
728.7105.544.380.1
4,419.7137.263.7
191.469.7
919.6394.2
54.082.576.5
9,402.3456.2124.4590.641.070.052.292.4
9,118.2324.1537.6331.5143.8
4,283.1197.369.6
780.1244.3141.451.6
361.081.1
179.4
2005P
1,863.4106.5103.0
1,363.4121.563.6
265.072.1
3,077.191.681.485.2
1,049.166.4
1,477.2215.2
500.083.940.558.1
994.2166.9447.3
1,221.127.4
864.9212.3
740.4107.345.281.1
4,465.5137.164.2
194.870.2
950.6408.8
56.685.379.9
9,442.3464.4123.6591.940.171.452.994.1
9,165.7328.5531.1335.2143.4
4,348.8201.6
71.1805.0247.1143.051.7
365.483.4
180.7
Unemployed
Number
May
2004
75.33.74.1
80.66.23.2
13.34.3
164.73.33.24.3
60.23.7
82.89.4
18.72.61.42.0
37.25.7
18.6
48.71.3
34.58.1
28.03.91.52.7
204.97.03.37.84.3
51.019.83.15.33.2
506.217.56.1
31.72.42.81.94.0
486.413.426.417.16.9
235.08.24.3
43.510.67.92.7
19.74.7
11.8
2005
67.93.64.9
99.07.83.8
16.24.9
163.53.43.64.2
57.93.9
80.39.5
19.22.81.62.0
39.56.3
20.3
44.91.1
31.87.4
25.33.61.42.8
166.65.92.96.33.6
54.421.4
3.25.93.6
445.416.75.6
29.92.12.81.63.6
411.512.523.815.66.7
215.28.14.0
38.69.97.92.6
18.14.9
10.9
June
2004
89.74.55.0
92.27.03.7
15.44.9
190.14.04.05.1
67.54.3
94.811.2
21.73.21.82.3
39.75.8
19.9
53.11.4
37.78.6
28.94.01.72.9
220.57.53.28.44.5
59.523.4
3.95.93.8
551.719.56.6
33.72.52.92.14.5
531.114.828.418.47:3
251.68.94.6
46.511.78.73.0
21.85.1
12.3
2005P
70.13.64.0
107.78.54.3
18.25.4
174.33.84.04.7
61.64.0
86.110.2
22.13.31.92.3
39.05.9
20.1
50.01.2
35.58.1
26.03.61.52.8
181.46.32.77.03.8
61.124.5
3.96.04.0
446.717.85.8
31.02.12.81.83.9
417.913.024.716.26.8
240.99.24.3
42.811.49.23.0
20.45.4
12.2
Percent of labor force
May
2004
4.13.63.9
6.15.15.25.16.1
5.43.64.05.25.95.65.74.5
3.93.03.63.3
3.83.44.2
4.24.84.23.9
3.93.73.53.4
4.75.25.94.16.2
5.65.15.86.54.3
5.53.95.05.45.84.33.54.45.44.25.05.24.9
5.54.26.25.64.45.65.35.55.96.6
2005
3.73.44.6
7.36.56.06.26.9
5.43.74.54.95.65.95.54.4
3.93.33.93.5
4.03.74.5
3.74.03.73.5
3.53.43.33.4
3.84.45.03.25.2
5.85.35.76.94.6
4.83.74.55.15.24.13.03.84.53.94.54.74.7
5.04.05.64.84.15.65.15.05.86.1
June
2004
4.84.24.8
6.95.75.95.86.9
6.24.44.96.06.46.46.45.2
4.43.94.44.1
4.03.54.5
4.55.04.64.1
4.03.83.73.6
5.05.55.04.46.5
6.55.97.27.24.9
5.94.35.35.76.14.24.14.95.84.65.35.65.1
5.94.56.76.04.86.15.96.06.36.9
2005P
3.83.33.9
7.97.06.86.97.6
5.74.14.95.55.96.05.84.8
4.43.94.64.0
3.93.54.5
4.14.34.13.8
3.53.43.33.4
4.14.64.23.65.4
6.46.07.07.15.0
4.73.84.75.25.33.93.44.14.63.94.74.84.8
5.54.56.15.34.66.45.75.66.46.7
Minnesota—ContinuedMinneapo!is-St. Paul-BloomingtonRochester ,St. Cloud
MississippiGulfport-BiloxiHattiesburgJackson ,Pascagoula
MissouriColumbia ......Jefferson CityjoplinKansas CitySt. JosephSt. Louis1
Springfield
MontanaBillingsGreat FallsMissoula
NebraskaLincolnOmaha-Council Bluffs
NevadaCarson CityLas Vegas-ParadiseReno-Sparks
New HampshireManchesterPortsmouth ••••••••... «• * ••...••.......•#•..•••Rochester-Dover
New JerseyAtlantic CityOcean CityTrenton-EwingVineland-Millville-Bridgeton
New MexicoAlbuquerqueFarmington '. ....Las CrucesSanta Fe
New YorkAlbany-Schenectady-TroyBinghamtonBuffalo-Niagara FallsElmiraGlens FallsIthacaKingstonNew York-Northern New Jersey-Long IslandPoughkeepsie-Newburgh-MiddletownRochesterSyracuseUtica-Rome
North CarolinaAshevilleBurlingtonCharJotte-Gastonia-ConcordDurhamFayettevilleGoldsboroGreensboro-High PointGreenvilleHickory-Lenoir-Morganton
See footnotes at end of table.
168
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3* Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian lauor rurce
May
2004
55.6482.1
68.8155.4228.9
355.058.1
112.054.4
5,861.8370.9203.3
1,081.21,104.5
909.7424.3
52.063.144.970.6
335.759.1
277.7
1,706.746.6
574.4441.6
1,847.170.242.4
173.298.1
1,089.5182.8
6,226.2403.8
65.5139.6278.6
67.0265.0
69.22,891.21,208.2
196.5274.6
73.360.1
214.5
557.7694.1
2,050.683.5
290.5350.3
95.9294.9120.2131.045.6
429.264.7
119.0
2S889.5247.8
2005
56.7491.8
68.1161.1235.5
357.459.9
114.154.9
5,920.1375.3207.4
1,093.01,103.3
920.5425.8
52.463.144.670.2
338.258.6
279.3
1,722.647.2
584.4443.1
1,858.672.542.1
174.799.2
1,097.3183.3
6,327.6409.8
66.9142.5283.1
68.5271.0
70.92,942.91,220.6
201.0278.2
72.661.1
220.0
563.9698.1
2,077.984.7
298.4354.9
97.5295.6123.6132.045.8
430.666.0
121.7
2,889.8249.2
June
2004
55.2489.0
68.8155.8229.7
364.460.1
113.454.8
5,939.9373.9205.8
1,098.21,117.7
923.4429.9
53.064.146.871.6
337.458.6
282.0
1,733.047.1
581.1449.2
1,872.771.543.1
173.698.4
1,092.8188.6
6,307.6409.8
66.2141.1282.0
67.9269.8
70.42,922.51,229.7
198.6279.1
69.760.6
216.1
566.1703.0
2,082.284.0
293.9354.0
96.8298.1125.1132.946.1
435.867.1
119.6
2,939.2250.0
20(){SP
5G.5498.2
65.4160.2235.2
265.461.9
114,0515.0
5,961.6375.120(3.4
1,103.51,115.6
92B.74-29.0
52.963.748.171.0
J137'.458.6
278.9
1,745.048.1
693.3451.3
1,1182.4711743.1
175.389.3
VIC 2.11 £8.1
6,357.9413.2
66.9U1.9
2,1,
J&4.769.1
U:ZJ71.1
KI2.6281.12CU.8279.770.661.1
220.9
573.7709.0
2,100.885.5
3(14.1356.498.2
299.0126.4133.846.8
438.568.0
122.7
2,916.3249.5
Unemployed
Number
May
2004
3.021.1
5.07.0
11.7
10.81.53.01.8
338.120.412.754.264.046.124.4
3.14.22.54.5
22.24.5
18.1
81.82.0
25.121.8
131.94.32.2
12.36.6
74.713.2
331.720.6
3.38.4
12.34.4
10.12.7
147.766.510.317.1
3.03.69.7
29.037.0
131.95.6
14.619.27.6
17.65.89.53.3
14.72.23.9
137.310.0
2005
3.019.44.86.6
10.5
11.41.63.01.9
339.520.912.856.961.347.825.1
3.13.92.54.3
21.43.7
17.9
77.62.2
24.820.1
113.83.81.9
10.85.9
64.211.4
297.718.33.37.1
11.03.89.42.4
129.859.8
9.214.82.73.18.9
23.130.1
123.75.7
13.418.07.6
15.25.49.13.6
16.72.64.1
164.012.0
June
2004
3.423.2
5.37.7
12.6
13.91.93.72.4
378.523.014.061.569.452.727.83.64.72.75.0
24.74.9
20.5
91.42.2
29.623.2
142.64.62.4
13.27.3
81.214.2
369.822.6
3.69.2
13.85.0
11.63.0
162.774.611.219.23.34.0
10.7
30.639.1
151.46.3
17.521.7
8.319.76.4
11.33.8
15.52.23.9
162.511.7
2005P
3.422.0
5.27.5
11.8
13.82.03.52.2
371.422.513.562.970.552.227.43.34.42.64.8
22.94.1
19.4
79.02.3
26.819.7
123.24.12.3
11.76.5
69.512.7
329.720.2
3.68.0
12.24.5
10.82.7
144.067.210.316.52.93.4
10.0
28.536.1
138.76.3
16.320.3
8.317.15.7
10.14.1
16.52.43.9
185.613.7
Percent of labor force
May
2004
5.44.47.34.55.1
3.02.72.63.4
5.85.56.25.05.85.15.86.06.75.56.36.67.76.5
4.84.44.44.9
7.16.25.27.16.86.97.2
5.35.15.06.04.46.53.83.95.15.55.36.24.15.94.5
5.25.3
6.46.75.05.57.96.04.87.37.2
3.43.43.2
4.84.0
2005
5.33.97.04.1
.4.4
3.2'2.72.63.4
5.75.66.25.25.65.25.95.96.25.76.16.36.36.4
4.54.74.24.5
6.15.24.56.25.95.96.2
4.74.54.95.03.95.53.53.34.44.94.65.33.75.14.0
4.14.3
6.06.74.55.17.85.24.46.97.9
3.93.93.4
5.74.8
June
2004
6.14.77.75.05.5
3.83.23.34.4
6.46.26.85.66.25.76.56.87.45.87.07.38.47.3
5.34.85.15.2
7.66.55.67.67.47.47.6
5.95.55.56.54.97.44.34.25.66.15.66.94.86.54.9
5.45.6
7.37.56.06.18.66.65.18.58.3
3.53.33.3
5.54.7
2005P
6.04.47.54.75.0
3.83.23.04.0
6.26.06.55.76.35.66.46.36.95.76.76.86.97.0
4.54.74.54.4
6.55.55.36.66.66.36.7
5.24.95.45.74.36.54.03.84.95.55.15.94.25.64.5
5.05.1
6.67.35.45.78.55.74.57.58.8
3.83.53.2
6.45.5
north Carolina—ContinuedJacksonvilleRaleigh-Cary..Rocky MountWilmingtonWinston-Salem
North DakotaBismarckFargoGrand Forks
OhioAkronCanton-Massillon ................................Cincinnati-MiddletownCieveland-Elyria-Mentor ............ColumbusDaytonLimaMansfieldSanduskySpringfieldToledoWeirion-SteubenvilieYoungstown-Warren-Boardman
OklahomaLawtonOklahoma CityTulsa... '.....
OregonBendCorvallis.Eugene-SpringfieldMedfordPortland-Vancouver-BeavertonSalem
PennsylvaniaAlfentown-Bethlehem-EastonAltoonaErieHarrisburg-CarlisSeJohnstownLancasterLebanonPhiladelphia-Camden-WilmingtonPittsburghReadingScranton—Wilkes-BarreState College ................WilliamsportYork-Hanover
Rhode IslandProvidence-Fall River-Warwick
South CarolinaAndersonCharleston-North CharlestonColumbiaFlorenceGreenvilleMyrtle Beach-Conway-North Myrtle BeachSpartanburgSumter....
Soyth DakotaRapid CitySioux Falls
TennesseeChattanooga
See footnotes at end of table.
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian labor force
May
2004 2005
June
2004 2005P
Unemployed
Number
May
2004 2005
June
2004 2005P
Percent of labor force
May
2004 2005
June
2004 2005P
Tennessee—ContinuedClarksvilleClevelandJacksonJohnson CityKingsport-Bristol-BristolKnoxvilleMemphisMorristown :Nashville-Davidson—Murfreesboro....
TexasAbileneAmarilloAustin-Round RockBeaumont-Port ArthurBrownsville-HarlingenCollege Station-BryanCorpus ChristiDallas-Fort Worth-ArlingtonEl Paso ,Houston-Baytown-Sugar Land ,Killeen-Temple-Fort HoodLaredo :LongviewLubbockMcAllen-Edinburg-PharrMidlandOdessaSan AngeloSan AntonioSherman-DenisonTexarkanaTylerVictoriaWacoWichita Falls
UtahLoganOgden-Clearfield .Provo-OremSt. GeorgeSalt Lake City
VermontBurlington-South Burlington
VirginiaBlacksburg-Christiansburg-RadfordChariottesvilleDanvilleHarrison burgLynchburgRichmondRoanokeVirginia Beach-Norfolk-Newport News .Winchester
Washington r
BellinghamBremerton-SilverdaleKennewick-Richland-Pasco .LongviewMount Vemon-AnacortesOlympiaSeattle-Tacoma-Bellevue ....SpokaneWenatcheeYakima
West VirginiaCharlestonHuntington-Ashland.Morgantown
103.053.553.894.6
140.2335.1591.1
62.1727.5
10,958.079.6
128.6773.7178.7141.9102.4196.5
2,948.5288.6
2,554.6144.483.198.7
140.3251.2
64.161.552.9
878.956.561.192.955.9
109.574.0
1,195.260.5
236.9192.550.3
528.4
350.5112.5
3,816.274.793.752.662.6
113.1602.6147.7777.7
60.5
3,213.5100.8120.4115.043.554.9
120.61,695.0
225.156.1
115.8
791.3139.1130.257.8
102.852.853.495.5
140.7335.8595.263.0
729.1
11,175.582.4
130.7798.1180.3145.7104.7197.9
3,003.0294.9
2,597.6149.385.8
101.9142.5261.9
65.261.754.1
58.163.095.857.0
111.875.7
1,230.561.8
242.9200.6
54.6548.1
348.7112.0
3,916.977.194.952.964.1
114.6619.6151.1793.1
61.9
3,259.5104.3122.4118.944.057.2
123.81,717.2
225.757.5
116.8
793.1139.4130.258.9
105.153.854.994.0
141.9342.5604.963.6
739.8
11,090.081.1
129.8780.2179.8144.498.0
198.62,973.2
288.22,581.1
146.383.499.8
141.0254.9
65.262.053.6
889.157.061.794.556.9
109.575.0
1,208.661.5
238.8194.750.9
532.3
356.6114.3
3,847.375.794.552.962.1
113.7606.1148.6786.6
61.4
3,245.1100.7119.6122.143.756.4
120.11,690.0
223.265.5
130.2
804.1142.0131.857.1
105.352.954.093.9
141.3339.9603.364.0
734.4
11,247.283.0
130.8800.2180.6146.9100.0199.6
3,021.2293.8
2,616.0149.885.8
102.5142.2263.5
65.961.854.4
904.858.563.096.457.5
111.976.3
1,245.363.4
245.3202.3
54.9551.6
356.1113.6
3,953.676.396.053.064.5
115.7625.4152.3804.462.9
3,300.0104.8123.1125.744.658.3
124.11,718.0
225.366.4
128.1
805.4143.0131.857.9
5.22.42.74.57.2
12.331.4
3.328.4
646.63.85.3
37.714.811.84.4
13.2168.521.5
157.88.05.55.86.1
21.12.93.62.5
47.73.33.44.73.25.63.7
61.12.2
12.09.32.1
28.4
12.73.6
140.73.33.04.01.95.0
23.35.6
31.41.9
191.75.36.76.33.53.56.4
95.713.33.99.6
41.86.97.42.2
6.13.03.15.27.6
15.138.1
3.634.5
597.03.65.1
35.212.710.94.1
11.5156.021.5
142.07.95.35.25.8
20.02.63.02.4
44.03.03.34.72.85.63.5
57.62.3
11.58.82.1
26.2
10.42.9
139.53.02.94.11.94.5
23.15.3
32.81.8
175.14.96.36.13.03.16.0
87.412.03.48.2
34.16.06.71.8
5.82.93.15.28.6
14.437.3
3.832.8
725.04.36.2
41.916.213.35.0
14.7186.823.9
175.99.26.46.47.5
24.13.34.12.9
54.53.73.95.23.56.44.2
67.52.6
13.310.32.4
30.9
12.53.7
153.03.53.44.02.05.4
25.55.9
34.52.1
203.66.17.77.23.83.97.3
98.414.73.6
10.0
45.87.78.02.4
6.73.43.55.68.4
16.943.54.1
37.8
612.33.75.4
35.513.411.24.2
12.4157.521.6
145.28.25.65.36.4
21.22.73.22.4
46.03.13.34.82.95.93.7
61.42.6
12.39.42.2
27.7
11.93.7
150.43.23.44.22.25.1
25.05.6
35.42.0
180.55.46.86.83.23.46.4
87.812.73.08.0
40.57.17.52.2
5.04.55.14.75.23.75.35.23.9
5.94.84.24.98.38.34.36.75.77.46.25.56.65.94.38.44.55.94.85.45.95.65.05.75.15.0
5.13.75.14.84.25.4
3.63.2
3.74.43.27.63.04.43.93.84.03.1
6.05.25.65.58.06.35.35.65.97.08.3
5.35.05.73.8
5.95.65.85.45.44.56.45.74.7
5.34.43.94.47.07.54.05.85.27.35.55.36.25.14.17.64.04.94.44.95.25.25.04.95.04.7
4.73.74.74.43.84.8
3.02.6
3.63.93.07.73.04.03.73.54.12.9
5.44.75.25.16.95.54.35.15.35.97.0
4.34.35.13.0
5.55.35.75.66.04.26.26.04.4
6.55.34.75.49.09.25.17.46.38.36.86.37.66.45.39.45.06.65.46.16.56.45.56.25.95.6
5.64.25.65.34.75.8
3.53.3
4.04.63.67.63.24.74.24.04.43.4
6.36.06.55.98.76.96.05.86.65.57.7
5.75.46.14.2
6.46.46.46.06.05.07.26.45.1
5.44.44.14.47.47.74.26.25.27.45.65.56.55.14.58.04.15.14.45.15.35.35.05.15.34.9
4.94.05.04.74.05.0
3.33.2
3.84.13.57.93.44.44.03.74.43.1
5.55.15.55.47.25.85.15.15.64.56.2
5.05.05.73.8
See footnotes at end of table.
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STATE AND AREA LABOR FORCE DATANOT SEASONALLY ADJUSTED
G-3* Civilian labor force and unemployment by State and metropolitan area.—Continued
(Numbers in thousands)
State and area
Civilian labor force
May
2004 2005
June
2004 2005P
Unemployed
Number
May
2004 2005
June
2004 2005P
Percent of labor force
May
2004 2005
June
2004 2005P
West Virginia—ContinuedParkersburg-MariettaWheeling..
WisconsinAppletonEau ClaireFond du LacGreen BayJanesvilleLa Crosse .....................MadisonMilwaukee-Waukesha-West AiiisQshkosh-NeenahRacine ........................................SheboyganWausau ......................................
WyomingCasperCheyenne .:.
Puerto Ric©Aguadilla-lsabeia-San SebastianFajardoGuayama ..........MayaguezPonceSan German-Cabo RojoSan Juan-Gaguas-GuaynaboYauco
80.367.7
3,049.6120.386.956.6
170.283.874.1
330.5794.6
91.7100.364.073.9
278.739.041.9
1,364.4
80.468.6
3,032.4120.285.457.3
169.084.674.3
328.8791.7
92.898.763.873.9
283.540.542.3
1,411.9
81.368.7
3,117.2123.887.558.0
174.285.675.5
335.5811.293.8
101.666.375.6
286.539.742.4
1,382.1
81.269.4
3.092.9123.785.658.6
171.985.974.8
335.6806.194.4
100.466.075.3
291.741.143.1
1,446.7
4.63.9
146.75.33.82.57.74.52.9
10.843.5
4.25.92.83.1
10.11.41.8
147.3
4.33.4
138.75.13.72.47.54.22.8
10.639.7
4.15.82.53.1
11.01.51.9
154.1
5.14.3
161.25.94.42.98.75.03.3
12.447.54.66.33.13.5
10.71.51.9
142.1
4.83.9
148.45.74.02.88.04.53.0
11.943.14.46.22.83.2
10.31.41.8
170.5
5.85.7
4.84.44.44.34.55.43.93.35.54.55.94.44.2
3.63.54.2
10.8
5.35.0
4.64.34.34.34.44.93.73.25.04.45.93.94.3
3.93.64.4
10.9
6.36.3
5.24.85.04.95.05.94.43.75.84.96.24.74.6
3.73.74.4
10.3
5.95.6
4.84.64.74.84.75.24.13.55.34.66.24.24.3
3.53.44.1
11.8
P = preliminary.- Data not available.1 Area boundaries do not reflect official OMB definitions.NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a
monthly household survey similiar to the Current Population Survey. Areadefinitions are based on Office of Management and Budget Bulletin No. 04-03,dated February 18,2004, and are available at http://www.hts.govAauAausmsa.htmand in the May issue of Employment and Earnings. Areas in the six New England
states are Metropolitan New England City and Town Areas (NECTAs), while areasin other states are county-based. Some metropolitan areas lie in two or morestates. They are listed under the state that appears first in their titles.Davenport-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W.Va-Ohio, arethe exceptions in that they are listed under Illinois and Ohio, respectively, foroperational reasons. Estimates for the latest month are revised the following month,and at least 3 years of estimates are subject to revision at the end of the year, toincorporate updated inputs and reestimation.
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LABOR FORCE DATANOT SEASONALLY ADJUSTED
C-4. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan division 1
(Numbers in thousands)
State, area, and division
Civilian labor force
May
2004 2005
June
2004 2005P
Unemployed
Number
May
2004 2005
June
2004 2005P
Percent of labor force
May
2004 2005
June
2004 2005P
CaliforniaLos Angeles-Long Beach-Santa Ana ,
Los Ange!es-Long Beach-GlendaleSanta Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont ,Oakland-Fremont-Hayward ,San Francisco-San Mateo-Redwood City ,
District of ColumbiaWashington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Ariington-Alexandria 2
FloridaMiami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield
Miami-Miami Beach-KendallWest Palm Beach-Boca Raton-Boynton Beach
IllinoisChicago-Naperville-Joliet2
Chicago-Naperville-JolietGary *Lake County-Kenosha County 2
MassachusettsBoston-Cambridge-Quincy 2
Boston-Cambridge-QuincyBrockton-Bridgewater-EastonFraminghamHaverhill-North Andover-Amesbury2 .Lawrence-Methuen-Saiem 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-SalemNashua 2
Taunton-Norton-Raynham
MichiganDetroit-Warren-Livonia
Detroit-Livonia-DearbomWarren-Farmington Hills-Troy
New YorkNew York-Northern New Jersey-Long Island 2 .
Edison3
Nassau-SuffolkNew York-Wayne-White Plains 2
Newark-Union 3
PennsylvaniaPhiladelphia-Camden-Wilmington 2
Camden 3
PhiladelphiaWilmington 3
TexasDallas-Fort Worth-Arlington .
Dallas-Plano-lrvingFort Worth-Arlington
WashingtonSeattle-Tacoma-Bellevue ...
Seattle-Bellevue-Everett..Tacoma
17,416.96,340.34,770.11,570.22,150.11,244.2
905.9
294.02,790.2
610.52,179.7
8,373.32,611.1
915.11,101.8
594.1
6,361.54,707.13,955.8
324.7426.6
3,381.92,445.21,474.2
123.8142.1119.170.1
151.5127.0176.061.5
5,071.32,192.1
909.81,282.4
9,247.58,997.91,151.41,442.35,334.21,070.0
6,226.22,891.2
642.21,904.8
344.2
10,958.02,948.51,974.8
973.7
3,213.51,695.01,328.9
366.1
17,706.36,487.04,886.01,601.02,175.11,258.4
916.7
295.52,873.3
624.82,248.5
8,654.02,696.3
940.51,142.6
613.2
6,458.24,763.34,002.3
326.2434.8
3,357.32,431.41,465.2
122.6141.6118.669.0
150.8126.0176.760.8
5,131.52,191.8
909.41,282.4
9,361.79,087.61,163.41,465.65,389.11,069.4
6,327.62,942.9
654.91,936.7
351.2
11,175.53,003.02,010.6
992.5
3,259.51,717.21,348.1
369.2
17,546.26,364.04,782.81,581.22,169.11,256.2
912.9
300.82,821.4
617.52,203.9
8,429.92,631.9
930.81,105.3
595.8
6,455.64,777.34,013.7
327.8435.8
3,436.52,476.41,493.0
125.5144.3120.971.0
153.2129.1177.462.1
5,129.02,217.3
921.71,295.5
9,402.39,118.21,168.31,479.45,388.91,081.6
6,307.62,922.5
649.21,927.8
345.5
11,090.02,973.21,993.1
980.1
3,245.11,690.01,326.6
363.4
17,844.86,494.64,878.51,616.12,199.51,273.7
925.8
301.52,902.6
631.82,270.8
8,696.12,700.2
949.11,137.1
614.1
6,529.04,821.14,046.9
330.0444.2
3,412.72,464.01,484.9
124.4143.7120.170.0
152.4128.3178.661.5
5,154.92,220.0
920.31,299.8
9,442.39,165.71,183.21,494.65,405.01,082.9
6,357.92,962.6
663.71,945.6
353.3
11,247.23,021.22,023.2
998.0
3,300.01,718.01,348.4
369.6
1,045.8375.9311.1
64.9116.769.846.8
22.4101.2
19.082.2
380.4131.3
42.360.428.6
384.9286.8246.0
18.921.8
172.4121.370.1
6.96.06.26.08.46.97.73.1
346.7145.873.072.9
506.2486.449.362.1
325.050.0
331.7147.730.2
103.713.8
646.6168.5115.453.2
191.795.770.725.0
882.7320.7267.1
53.795.457.438.0
22.9103.7
19.584.1
328.1109.5
35.849.024.7
362.6278.4242.9
16.419.1
151.1105.160.8
6.15.25.25.07.46.06.82.7
355.8157.377.579.8
445.4411.540.457.0
272.042.1
297.7129.823.891.914.0
597.0156.0105.750.4
175.187.465.621.9
1,131.8404.3332.0
72.3126.976.150.9
25.7113.421.492.0
434.2146.2
47.365.833.1
410.1301.7258.7
19.523.5
186.4131.576.8
7.56.56.66.29.17.57.93.3
372.8161.982.879.1
551.7531.1
53.068.0
356.154.0
369.8162.7
32.5113.7
16.5
725.0186.8127.659.3
203.698.470.827.6
968.3338.7275.6
63.1108.865.343.5
22.6109.521.488.1
366.9119.6
39.452.228.0
407.7316.2277.5
18.020.8
163.4114.167.0
6.65.75.55.27.96.66.82.9
357.1170.283.986.3
446.7417.9
44.460.7
267.245.6
329.7144.026.0
100.417.6
612.3157.5106.351.2
180.587.864.723.1
6.05.96.54.15.45.65.2
7.63.63.13.8
4.55.0
4.65.54.8
6.16.16.25.85.1
5.15.04.85.54.25.28.65.65.54.35.0
6.86.78.05.7
5.55.44.34.36.14.7
5.35.14.75.44.0
5.95.75.85.5
6.05.65.36.8
5.04.95.53.44.44.64.1
7.73.63.13.7
3.84.1
3.84.34.0
5.65.86.15.04.4
4.54.34.14.93.74.47.24.94.83.84.4
6.97.28.56.2
4.84.53.53.95.03.9
4.74.43.64.74.0
5.35.25.35.1
5.45.14.95.9
6.56.46.94.65.96.15.6
8.64.03.54.2
5.25.6
5.16.05.6
6.46.36.45.95.4
5.45.35.16.04.55.48.86.05.84.55.4
7.37.39.06.1
5.95.84.54.66.65.0
5.95.65.05.94.8
6.56.36.46.0
6.35.85.37.6
5.45.25.63.94.95.14.7
7.53.83.43.9
4.24.4
4.24.64.6
6.26.66.95.44.7
4.84.64.55.34.04.67.45.25.13.84.7
6.97.79.16.6
4.74.63.74.14.94.2
5.24.93.95.25.0
5.45.25.35.1
5.55.14.86.3
P s preliminary.1 These 11 areas contain all of the 34 metropolitan divisions.2 Part of the area (or division) is in one or more adjacent states.3 All of the division is in one or more adjacent states.NOTE: Data refer to place of residence. Area definitions are based on Office of
Management and Budget Bulletin No. 04-03, dated February 18, 2004, and areavailable at http://www.bls.gov/lau/lausmsa.htm and in the May issue of Employment andEarnings. Areas in the six New England states are Metropolitan New England Cityand Town Areas (NECTAs), while areas in other states are county-based. Somemetropolitan areas lie in two or more states. They are listed under the state that
corresponds to the first city in their title. Metropolitan divisions are listed under theirmetropolitan areas. Some divisions lie in more than one state, and some, likeCamden, N.J., are totally outside the states under which their metropolitan areas arelisted. Estimates for the latest month are revised the following month, and at least 3years of estimates are subject to revision at the end of the year, to incorporateupdated inputs and reestimation. Two sets of metropolitan areas and divisions havesimilar or identical titles. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va.,the titles are identical. For the Chicago-Naperville-Joliet,IH.-lnd.-Wis. metropolitanarea, the division title includes only Illinois.
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Explanatory Notes and Estimates of Error
Introduction
The statistics in this periodical are compiled from twomajor sources: (1) household interviews, and (2) reportsfrom employers.
Data based on household interviews are obtained fromthe Current Population Survey (CPS), a sample survey ofthe population 16 years of age and over. The survey is con-ducted each month by the U.S. Census Bureau for theBureau of Labor Statistics and provides comprehensive dataon the labor force, the employed, and the unemployed, clas-sified by such characteristics as age, sex, race, family rela-tionship, marital status, occupation, and industry attachment.The survey also provides data on the characteristics and pastwork experience of those not in the labor force. The infor-mation is collected by trained interviewers from a sample,of about 60,000 households (beginning with July 2001 data)located in 754 sample areas. These areas are chosen to rep-resent all counties and independent cities in the UnitedStates, with coverage in 50 States and the District ofColumbia. The data collected are based on the activity orstatus reported for the calendar week including the 12th ofthe month.
Data based on establishment records are compiled eachmonth through the use of touchtone data entry, computer-assisted telephone interviewing, and electronic data inter-change, or by mail or fax, or on magnetic tape or computerdiskette. The Current Employment Statistics (CES) surveyis designed to provide industry information on nonfarmwage and salary employment, average weekly hours, aver-age hourly earnings, and average weekly earnings for theNation, States, and metropolitan areas. The employment,hours, and earnings series are based on payroll reports froma sample that includes about 160,000 businesses and gov-ernment agencies covering approximately 400,000 indi-vidual worksites. The sample is drawn from a sampling frameof over 8 million unemployment insurance tax accounts.The active CES sample includes approximately one-thirdof all nonfarm payroll workers. The data relate to all work-ers, full or part time, who receive pay during the payrollperiod that includes the 12th of the month.
RELATIONSHIP BETWEEN THE HOUSEHOLDAND ESTABLISHMENT SERIES
The household and establishment data complement oneanother, each providing significant types of information thatthe other cannot suitably supply. Population characteris-
tics, for example, are obtained only from the household sur-vey, 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 addi-tional reasons for discrepancies. The major factors that havea differential 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 in-dustries is included. Hie payroll survey covers only wageand salary employees on the payrolls of nonfarm establish-ments.
Multiple jobholding. The household survey providesinformation on the work status of the population withoutduplication, because 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 werenot at work during the reference week—that is, were notworking but had jobs from which they were temporarilyabsent because of illness, vacation, bad weather, childcareproblems, or labor-management disputes, or because theywere taking time off for various other reasons, even if theywere not paid by their employers for the time off. In thefigures based on payroll reports, persons on leave paid forby the company are included, but those on leave withoutpay for the entire payroll period are not.
Hours of workThe household survey measures hours worked for all work-ers, whereas the payroll survey measures hours for
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private production or nonsupervisory workers paid for byemployers. In the household survey, all persons with a jobbut not at work are excluded from the hours distributionsand the computations of average hours at work. In the pay-roll survey, production or nonsupervisory employees on paidvacation, paid holiday, or paid sick leave are included andassigned the number of hours for which they were paidduring the reporting period.
EarningsThe household survey measures the earnings of wage andsalary 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 earn-ings of production and related workers in natural resourcesand mining and manufacturing; construction workers inconstruction; and nonsupervisory employees in private ser-vice-providing industries. For a comprehensive discussionof the various earnings series available from the householdand establishment surveys, see BLS Measures of Compen-sation, Bulletin 2239 (Bureau of Labor Statistics, 1986).
COMPARABILITY OF HOUSEHOLD DATAWITH OTHER SERIES
Unemployment insurance data. The unemployed total fromthe household survey includes all persons who did not havea job during the reference week, were currently availablefor a job, and were looking for work or were waiting to becalled back to a job from which they had been laid off,whether or not they were eligible for unemployment insur-ance. Figures on unemployment insurance claims, preparedby the Employment and Training Administration of the U.S.Department of Labor, exclude, in addition to otherwise in-eligible persons who do not file claims for benefits, per-sons who have exhausted their benefit rights, new workerswho have not earned rights to unemployment insurance,and persons losing jobs not covered by unemployment in-surance systems (some workers in agriculture, domesticservices, and religious organizations, and self-employed andunpaid family workers).
In addition, the qualifications for drawing unemploymentcompensation differ from the definition of unemploymentused in the household survey. For example, persons with ajob but not at work and persons working only a few hours
during the week are sometimes eligible for unemploymentcompensation but are classified as employed, rather thanunemployed, in the household survey.
Agricultural employment estimates of the US. Departmentof Agriculture. The principal differences in coverage arethe inclusion of persons under 16 in the National Agricul-tural Statistics Service series and the treatment of dual job-holders, who are counted more than once if they work onmore than one farm during the reporting period. There alsoare wide differences in sampling techniques and data col-lecting and estimating methods, which cannot be readilymeasured in terms of their impact on differences in the lev-els and trends of the two series.
COMPARABILITY OF PAYROLL EMPLOYMENTDATA WITH OTHER SERIES
Statistics on manufacturers and businessy US. CensusBureau. BLS establishment statistics on employment differfrom employment counts derived by the U.S. Census Bureaufrom its censuses or sample surveys of manufacturing andbusiness establishments. The major reasons for non-comparability 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 also are differencesin the scope of the industries covered—for example, theCensus of Business excludes professional services, publicutilities, and financial establishments, whereas these areincluded in the BLS statistics.
County Business Patterns, U.S. Census Bureau. Data, inCounty Business Patterns (CBP) differ from BLS establish-ment statistics in the treatment of central administrative of-fices and auxiliary units. Differences also may 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 insurance pro-grams. Most nonfarm wage and salary workers are coveredby the unemployment insurance programs. However, someemployees, such as those working in parochial schools andchurches, are not covered by unemployment insurance, whereasthey are included in the BLS establishment statistics.
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Household Data("A" tables, monthly; "D" tables, quarterly)
COLLECTION AND COVERAGE
Statistics on the employment status of the population andrelated data are compiled by BLS using data from the Cur-rent Population Survey (CPS). This monthly survey of houses-holds is conducted for BLS by the U.S. Census Bureauthrough a scientifically selected sample designed to repre-sent the civilian noninstitutional population. Respondentsare interviewed to obtain information about the employmentstatus of each member of the household 16 years of age andolder. The inquiry relates to activity or status during thecalendar week, Sunday through Saturday, that includes the12th day of the month. This is known as the "reference week 'Actual field interviewing is conducted in the following week,referred to as the "survey week"
Each month, about 60,000 occupied units are eligible forinterview. Some 4,500 of these households are contacted butinterviews are not obtained because the occupants are not athome after repeated calls or are unavailable for other rea-sons. This represents a noninterview rate for the survey thatranges between 7 and 8 percent. In addition to the 60,000occupied units, there are about 12,000 sample units in anaverage month that are visited but found to be vacant-orotherwise not eligible for enumeration. Part of the sample ischanged each month. The rotation plan, as will beexplained later, provides for three-fourths of the sample tobe common from one month to the next, and one-half to becommon with the same month a year earlier.
CONCEPTS AND DEFINITIONS
The concepts and definitions underlying labor force datahave been modified, but not substantially altered, since the.inception 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 (forexample, penal and mental facilities, homes for the aged),and who are not on active duty in the Armed Forces.
Employed persons. All persons who, during the referenceweek, (a) did any work at all (at least 1 hour) as paid employ-ees, worked in their own business, profession, or on their ownfarm, or worked 15 hours or more as unpaid workers in anenterprise operated by a member of the family, and (b) all thosewho were not working but who had jobs or businesses fromwhich they were temporarily absent because of vacation, ill-ness, bad weather, childcare problems, maternity or paternityleave, labor-management dispute, job training, or other fam-ily or personal reasons, whether or not they were paid for thetime 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 foreign coun-tries who are temporarily in the United States but not livingon the premises of an embassy. Excluded are persons whoseonly activity consisted of work around their own house (paint-ing, repairing, or own home housework) or volunteer workfor religious, charitable, and other organizations.
Unemployed persons. All persons who had no employmentduring the reference week, were available for work, exceptfor temporary illness, and had made specific efforts to findemployment sometime during the 4-week period ending withthe reference week. Persons who were waiting to be recalledto a job from which they had been laid off need not havebeen looking for work to be classified as unemployed.
Duration of unemployment. This represents the length oftime (through the current reference week) that persons clas-sified as unemployed had been looking for work. For per-sons on layoff, duration of unemployment represents thenumber of full weeks they had been on layoff. Mean dura-tion is the arithmetic average computed from single weeksof unemployment; median duration is the midpoint of adistribution of weeks of unemployment.
Reason for unemployment Unemployment also is 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, comprising(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, persons who quit or otherwise terminatedtheir employment voluntarily and immediately began look-ing for work; (3) Persons who completed temporary jobs,who began looking for work after the jobs ended; (4) Reen-trants, persons who previously worked but who were out ofthe labor force prior to beginning their job search; and (5)New entrants, persons who had never worked. Each of thesefive categories of the unemployed can be expressed as aproportion of the entire civilian labor force; the sum of thefour rates thus equals the unemployment rate for all civilianworkers. (For statistical presentation purposes, "job losers"and "persons who completed temporary jobs" are combinedinto a single category until seasonal adjustments can be de-veloped for the separate categories.)
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Jobseekers. All unemployed persons who made specificefforts to find a job sometime during the 4- week period pre-ceding the survey week are classified as jobseekers. Job-seekers do not include persons classified as on temporarylayoff, who, although often looking for work, are notrequired to do so to be classified as unemployed. Jobseekersare grouped by the methods used to seek work. Only activemethods—which have the potential to result in a job offerwithout further action on the part of the jobseeker—qualifyas job search. Examples include going to an employerdirectly or to a public or private employment agency, seek-ing assistance from friends or relatives, placing or answeringads, or using some other active method. Examples of the"other" category include being on a union or professionalregister, obtaining assistance from a communityorganization, or waiting at a designated labor pickup point.Passive methods, which do not qualify as job search, includereading (as opposed to answering or placing) "help wanted"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 the popu-lation that is in the labor force.
Employment-population ratio. This represents the propor-tion of the population that is employed.
Not in the labor force. Included in this group are all personsin the civilian noninstitutional population who are neitheremployed nor unemployed. Information is collected on theirdesire for and availability to take a job at the time of 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 as per-sons not in the labor force who want and are available for ajob 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 who are not currently look-ing because they believe there are no jobs available or thereare none for which they would qualify.
Persons classified as not in the labor force who are inthe sample for either their fourth or eighth month areasked additional questions relating to job history andworkseeking intentions. These latter data are available on aquarterly basis.
Occupation, industry, and class of worker. This informationfor the employed applies to the job held in the referenceweek. Persons with two or more jobs are classified in the jobat which they worked the greatest number of hours. Theunemployed are classified according to their last job.Beginning in 2003, the occupational and industrialclassification of CPS data is based on the 2002 CensusBureau occupational and industrial classification systems
which are derived from the 2000 Standard OccupationalClassification (SOC) and the 2002 North American IndustryClassification System (NAICS). (See the following sectionon historical comparability for a discussion of previousclassification systems used in the CPS.)
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-worker typology. Self-employed persons who respondthat their businesses are incorporated are included amongwage and salary workers because, technically, they arepaid employees of a corporation. Unpaid family workersare persons working without pay for 15 hours a weekor more on a farm or in a business operated by a memberof the household to whom they are related by birth ormarriage.
Multiple jobholders. These are employed persons who, dur-ing the reference week, either had two or more jobs as a wageand salary worker, were self-employed and also held a wageand salary job, or worked as an unpaid family worker andalso held a wage and salary job. Excluded are self-employedpersons with multiple businesses and persons with multiplejobs as unpaid family workers.
Hours of work. These statistics relate to the actual number ofhours worked during the reference week. For example, per-sons who normally work 40 hours a week but were off on theColumbus Day holiday would be reported as working 32hours, even though they were paid for the holiday. For per-sons working in more than one job, the published figuresrelate to the number of hours worked in all jobs during theweek; all the hours are credited to the major job. Unpub-lished data are available for the hours worked in each joband for usual hours.
At work part time for economic reasons. Sometimes re-ferred to as involuntary part time, this category refers to indi-viduals who gave an economic reason for working 1 to 34hours during the reference week. Economic reasons includeslack work or unfavorable business conditions, inability tofind full-time work, and seasonal declines in demand. Thosewho usually work part time must also indicate that they wantand are available for full-time work to be classified as on parttime for economic reasons.
At work part time for noneconomic reasons. This group in-cludes those persons who usually work part time and were atwork 1 to 34 hours during the reference week for a noneco-nomic reason. Noneconomic reasons include, for example:Illness or other medical limitations, childcare problems orother family or personal obligations, school or training, re-tirement or Social Security limits on earnings, and being in a
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job where full-time work is less than 35 hours. The groupalso includes those who gave an economic reason forusually working 1 to 34 hours but said they do not wantto work full time or are 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, "witha job but not at work " These are persons who were absent.from their jobs for the entire week for such reasons as badweather, vacation, illness, or involvement in a labor dispute.In order to differentiate a person's normal schedule from his;,or her activity during the reference week, persons also areclassified according to their usual full- or part-time'Status. Inthis context, full-time workers are those who usually worked35 hours or more (at all jobs combined). This group will.include some individuals who worked less than 35 hours inthe reference week for either economic or noneconomic rea-sons and those who are temporarily absent from work* Simi-larly, part-time workers are those who usually work less than35 hours per week (at all jobs), regardless of the number ofhours worked in the reference week* This may include some::individuals who actually worked more than 34 hours in thereference week, as well as those who are temporarily absentfrom work. The full-time labor force includes all employedpersons who usually work full time and unemployed per-sons who are either looking for full-time work or are on lay-off from full-time jobs. The part-time labor force consists ofemployed persons who usually work part time and unem-ployed persons who are seeking or are on layoff from part-time jobs. Unemployment rates for full- and part-time work-ers are calculated using the concepts, of Hh&full- and-.part".time labor force.
White, black or African American, and Asian. These areterms used to describe the race of persons. Persons in thesecategories are those who selected that race group only,.Persons in the remaining race categories—American Indianor Alaska Native, Native Hawaiian or Other Pacific Islanders,and persons who selected more than one race category—areincluded in the estimates of total employment andunemployment but are not shown separately because thenumber of survey respondents is too small to developestimates of sufficient quality for monthly publication. Inthe enumeration process, race is determined by the.household respondent. (See the following section onhistorical comparability for a discussion of changesbeginning in 2003 that affected how people are classifiedby race,)
Hispanic or Latino ethnicity. This refers.to persons whoidentified themselves in the enumeration process -as beingSpanish, Hispanic, or Latino. Persons whose ethnicity isidentified as Hispanic or Latino may be of any race* (Seethe following section on historical comparability.for adiscussion of changes beginning in 2003 that affected howpeople are classified by Hispanic or Latino ethnicity.)
Usual weekly earnings. Data represent earnings before taxesand other deductions, and include any overtime pay, com-missions, or tips usually received (at the main job, in the caseof multiple jobholders). Earnings reported on a basis otherthan weekly (for example, annual, monthly, hourly) are con-verted to weekly. The term "usual" is as perceived by therespondent. If the respondent asks for a definition of usual,interviewers are instructed to define the term as more thanhalf the weeks worked during the past 4 or 5 months. Datarefer to wage and salary workers (excluding all self-employedpersons regardless of whether their businesses were incorpo-rated) who usually work foil time on their sole or primary job.
Median earnings. These figures indicate the value thatdivides the earnings distribution into two equal parts, onepart having values above the median and the other havingvalues below the mediae The medians shown in this publi-cation are calculated by linear interpolation of the $50 cen-tered interval within which each median falls. Data expressedin constant dollars are deflated by the Consumer PriceIndex for All Urban Consumers (CPI-U).
Never married; married, spouse present; and other maritalstatus. These are the terms used to define the marital status ofindividuals at the time of interview. Married, spouse present,applies to husband and wife if both were living in the samehousehold, even though one may be temporarily absent onbusiness, on vacation, on a visit, in a hospital, etc. Other maritalstatus applies to persons who are married, spouse absent; wid-owed; or divorced. Married, spouse absent relates to personswho are separated due to marital problems, as well as to hus-bands and wives who are living apart because one or the otherwas employed elsewhere or was on duly with the Armed Forces,or for any other reasons.
Household. A household consists of all persons—related fam-ily members and all unrelated persons—who occupy a hous-ing unit and have no other usual address. A house, an apart-ment, a group of rooms, or a single room is regarded as ahousing 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 a spouse.
Family. A family is defined as a.group of two or more personsresiding together who are related by birth, marriage, or adop-tion; all such persons are considered as members of one fam-ily. Families are classified either as married-couple familiesor as families maintained by women or men without spouses.A family maintained by a woman or a man is one in which thehouseholder is either single, widowed, divorced, or married,spouse absent.
HISTORICAL COMPARABILITY
Changes in concepts and methodsWhile current survey concepts and methods are very similar
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to those introduced at the inception of the survey in 1940, anumber of changes have been made over the years toimprove the accuracy and usefulness of the data. Some ofthe most 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, for greaterconsistency with the reference period used for other labor-re-lated statistics. Previously, the calendar week containing the8th day of the month had been used as the reference week.
• In 1957, the employment definition was modified slightlyas a result of a comprehensive interagency review of laborforce concepts and methods. Two relatively small groups ofpersons classified as employed, under "with a job but not atwork," were assigned to different classifications. Persons onlayoff with definite instructions to return to work within 30days of the layoff date, and persons volunteering that theywere waiting to start a new wage and salary job within 30 daysof interview, were, for the most part, reassigned to the unem-ployed classification. The only exception was the small sub-group in school during the reference week but waiting to startnew jobs, which was transferred to not in the labor force.
• In 1967, more substantive changes were made as a re-sult of the recommendations of the President's Committeeto Appraise Employment and Unemployment Statistics (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 period for jobseeking,and 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 infor-mation on persons not in the labor force, including thosereferred to as "discouraged workers," defined as persons whoindicate that they want a job but are not currently lookingbecause they believe there are no jobs available or none forwhich they would qualify.
f) New "probing" questions were added to the question-naire in order to increase the reliability of information onhours of work, duration of unemployment, and self-employ-ment.
• In 1994, major changes to the Current Population Sur-vey (CPS) were introduced, which included a complete re-design of the questionnaire and the use of computer-assistedinterviewing for the entire survey. In addition, there wererevisions to some of the labor force concepts and defini-tions, including the implementation of some changes rec-ommended in 1979 by the National Commission on Em-ployment and Unemployment Statistics (NCEUS, alsoknown as the Levitan Commission). Some of the majorchanges to the survey were:
a) The introduction of a redesigned and automated ques-tionnaire. The CPS questionnaire was totally redesigned inorder to obtain more accurate, comprehensive, and relevantinformation, and to take advantage of state-of-the-art com-puter interviewing techniques.
b) The addition of two, more objective, criteria to thedefinition of discouraged workers. Prior to 1994, to be clas-sified as a discouraged worker, a person must have wanted ajob and been reported as not currently looking because of abelief that no jobs were available or that there were none forwhich he or she would qualify. Beginning in 1994, personsclassified as discouraged must also have looked for a jobwithin the past year (or since their last job, if they workedduring the year), and must have been available for workduring the reference week (a direct question on availabilitywas added in 1994; prior to 1994, availability had beeninferred from responses to other questions). These changeswere made because the NCEUS and others felt that the previ-ous definition of discouraged workers was too subjective,relying mainly on an individual's stated desire for a job andnot on prior testing of the labor market.
c) Similarly, the identification of persons employed parttime for economic reasons (working less than 35 hours in thereference week because of poor business conditions or be-cause of an inability to find full-time work) was tightened
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by adding two new criteria for persons who usually workpart time: They must want and be available for full-timework. Previously, such information was inferred (Personswho usually work full time but worked part time for an eco-nomic reason during the reference week are assumed to meetthese criteria.)
d) Specific questions were added about the expectation ofrecall for persons who indicate that they are on layoff* Tc !:>eclassified as "on temporary layoff," persons must expect to berecalled to their jobs,. Previously, the questionnaire did notinclude explicit questions about the expectation of recall.
e) Persons volunteering that, they were waiting to start anew job within 30 days must have looked for work in the 4weeks prior to the survey in order to be classified as unem-ployed. Previouslys such persons did not have to meet diejob search requirement in order to be included among theunemployed.
For additional information on changes in CPS conceptsand methods^ see 'The Current Population Survey: Designand Methodology" Technical Paper 63RV (Washington, U.S.Census Bureau and Bureau of Labor Statistics^ March 2002),available on the Internet at www.bls.census.goy/cps/t]!)/tp63Jrtni; "Overhauling the Current Population Survey-—Why is it Necessary to Change?/" "Redesigning the Ques-tionnaire," and "Evaluating Changes in the Estimate^"Monthly Labor Review, September 1993; and "Revision?; inthe Current Population Survey Effective January 1994/" inthe February 1994 issue of this publication.
ioncomparabillty of labor force ieweisIn addition to the refinements In concepts^ definitions, sundmethods made over the years, other changes also have af-fected the comparability of the labor force data.
0 Beginning in 1953, as a result of introducing data fromthe 1950 census into the estimating procedures, popula-tion levels were raised by about 600,000; labor fores,total employment, ;and agricultural employment w<3:reincreased by about 350?000, primarily affecting the figures fortotals and for men; other categories were relative iiyunaffected
# Beginning in 19609 the inclusion of Alaska and Hawaiiresulted in increases of about 500,000 in the populationand about 300,000 in the labor force. Four-fifths of thelabor force increase was in nonagricultural employment;other labor force 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.
• InMarch 1973, a subsequent population adjustment basedon the 1970 census was introduced. This adjustment, whichaffected the white and black-and-other groups but had littleeffect on totals, resulted in the reduction of nearly 300,000in the white population and an increase of the same magnitudein the black-and-other population. Civilian labor force andtotal employment figures were affected to a lesser degree; thewhite labor force was reduced by 15G5G0Q5 and the black-and-other labor force rose by about 210,000. Unemploymentlevels and rates were not significantly affected.
• Beginning in January 1974, the method used to pre-pare independent estimates of the civilian noninstitutionalpopulation was modified to an "inflation-deflation" ap-proach. This change in the derivation of the estimates hadits greatest impact on estimates of 20- to 24-year-old men—particularly those in the black-and-other population—buthad little effect on estimates of the total population 16 yearsand over. Additional information on the adjustment proce-dure appears in "CPS Population Controls Derived from In-flation-Deflation Method of Estimation," in the February1974 issue of this publication.
• Effective in July 1975, as a result of the large inflow ofVietnamese-refugees to the United States, the total and black™and-other independent population controls for persons 16years and over were adjusted upward by 76,000—30,000men and 46,000 women. The addition of the refugees in-creased the-black-and-other population by less than 1 per-cent in any- age-sex group, with all of the changes beingconfined to-.the "other" component of the population.
• Beginning in January 1978, the introduction of anexpansion in the sample and revisions In the estimationprocedures resulted in an Increase of about 250,000 in thecivilian labor force and employment totals; unemploymentlevels and rates were essentially unchanged. An explanationof the procedural changes and an Indication of the differencesappear In "Revisions In the Current Population Survey InJanuary 1978" in the February 1978 Issue of this publication*
m 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.Thu§? In October 1978, one-eighth of the sample householdshad race determined by the household respondent and seven-eighths of the sample households had race determined byInterviewer observation. It was not until January 1980 thatthe entire sample had race determined by the householdrespondent The new procedure had no significant effect onthe estimates.
• Beginning In January 1979? the first-stage ratio adjust-ment method was changed In the CPS estimation procedure.Differences between the old and new procedures existed onlyfor metropolitan and nonmetropolltan area estimates, notfor the total United States* The reasoning behind the change
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and an indication of the differences appear in "Revisions inthe Current Population Survey in January 1979" in the Feb-ruary 1979 issue of this publication.
• Beginning in January 1982, the second-stage ratio ad-justment method was changed. The rationale for the changeand an indication of its effect on national estimates of laborforce characteristics appear in "Revisions in the Current Popu-lation Survey Beginning in January 1982" in the February1982 issue of this publication. In addition, current popula-tion estimates used in the second-stage estimation proce-dure were derived from information obtained from the 1980census, rather than the 1970 census. This change causedsubstantial increases in the total population and in the esti-mates of persons in all labor force categories. Rates for laborforce characteristics, however, remained virtually unchanged.Some 30,000 labor force series were adjusted back to 1970to avoid major breaks in series. The adjustment procedureused also is described in the February 1982article cited above. The revisions did not, however, smoothout the breaks in series occurring between 1972 and 1979(described above), and data users should consider them whencomparing estimates from different periods.
• Beginning in January 1983, the first-stage ratio adjust-ment method was updated to incorporate data from the 1980census. The rationale for the change and an indication of itseffect on national estimates for 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 theCPS estimation procedure—the noninterview adjustment,the first- and second-stage ratio adjustments, and the com-posite estimator—were revised. These procedures are de-scribed in the Estimating Methods section. A description ofthe changes and an indication of their effect on nationalestimates of labor force characteristics appear in "Changesin the Estimation Procedure in the Current Population Sur-vey Beginning in January 1985" in the February 1985 issueof this publication. Overall, the revisions had only a slighteffect on most estimates. The greatest impact was on esti-mates of persons of Hispanic origin. Major estimates wererevised back to January 1980.
• Beginning in January 1986, the population controls usedin the second-stage ratio adjustment method were revised toreflect an explicit estimate of the number of undocumentedimmigrants (largely Hispanic) since 1980 and an improvedestimate of the number of emigrants among legal foreign-bornresidents for the same period. As a result, the total civilianpopulation and labor force estimates were raised by nearly400,000; civilian employment was increased by about350,000. The Hispanic-origin population and labor force esti-mates were raised by about 425,000 and 305,000, respectively,
and Hispanic employment was increased by 270,000. Overalland subgroup unemployment levels and rates were not signifi-cantly affected. Because of the magnitude of the adjustmentsfor Hispanics, data were revised back to January 1980 to theextent possible. An explanation of the changes and an indica-tion of their effect on estimates of labor force characteristicsappear in "Changes in the Estimation Procedure in the CurrentPopulation Survey Beginning in January 1986" in the Febru-ary 1986 issue of this publication.
• Beginning in August 1989, the second-stage ratio esti-mation procedures were changed slightly to decrease thechance of very small cells occurring and to be more consis-tent with published age, sex, race cells. This change hadvirtually no effect on national estimates.
• Beginning in January 1994, 1990 census-based popu-lation controls, adjusted for the estimated undercount, wereintroduced into the second-stage estimation procedure. Thischange resulted in substantial increases in total populationand in all major labor force categories. Effective February1996, these controls were introduced into the estimates for1990-93. Under the new population controls, the civiliannoninstitutional population for 1990 increased by about 1.1million, employment by about 880,000, and unemploymentby approximately 175,000. The overall unemployment raterose by about 0.1 percentage point. For further information,see "Revisions in the Current Population Survey EffectiveJanuary 1994," and "Revisions in Household Survey DataEffective February 1996" in the February 1994 and March1996 issues, respectively, of this publication.
Additionally, for the period January through May 1994,the composite estimation procedure was suspended for tech-nical and logistical reasons.
• Beginning in January 1997, the population controlsused in the second-stage ratio adjustment method were re-vised to reflect updated information on the demographic char-acteristics of immigrants to, and emigrants from, the UnitedStates. As a result, the civilian noninstitutional population16 years and over was raised by about 470,000. The laborforce and employment levels were increased by about320,000 and 290,000, respectively. The Hispanic-originpopulation and labor force estimates were raised by about450,000 and 250,000, respectively, and Hispanic employ-ment was increased by 325,000. Overall and subgroup un-employment rates and other percentages of labor market par-ticipation were not affected. An explanation of the changesand an indication of their effect on national labor force esti-mates appear in "Revisions In the Current Population Sur-vey Effective January 1997" in the February 1997 issue ofthis publication.
• Beginning in January 1998, new composite estimationprocedures and minor revisions in the population controlswere introduced into the household survey. The new com-posite estimation procedures simplify processing of themonthly labor force data at BLS, allow users of the survey
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microdata to more easily replicate the official estimatesreleased by BLS, and increase the reliability of the employ-ment and labor force estimates. The new procedures also pro-duce somewhat lower estimates of the civilian labor forceand employment and slightly higher estimates of unemploy-ment. For example, based on 1997 annual average data, thedifferences resulting from the use of old and new compositeweights were as follows: Civilian labor force (-229,000), totalemployed (-256,000), and total unemployed (+27,000).Unemployment rates were not significantly affected.
Also beginning in January 1998, the population controlsused in the survey were revised to reflect new estimates of legalimmigration to the United States and a change in the methodfor projecting the emigration of foreign-born legal residents.As a result, the Hispanic-origin population was raised by about57,000; however, the total civilian noninstitutional popula-tion 16 years and over was essentially unchanged. More die-tailed information on these changes and their effect on theestimates of labor force change and composition appeal* in"Revisions in the Current Population Survey Effective Janu-ary 1998," in the February 1998 issue of this publication.
• Beginning in January 1999, the population controls usedin the survey were revised to reflect newly updated informationon immigration. As a result, the civilian noninstitutioi).alpopulation 16 years and over was raised by about 310,000.The impact of the changes varied for differentdemographic groups. The civilian noninstitutional populationfor men 16 years and over was lowered by about 185,000, whilethat for women was increased by about 490,000. The Hi^anic-origin population was lowered by about 165,000 while that ofpersons of non-Hispanic origin was raised by about 470,000.Overall labor force and employment levels were increased byabout 60,000 each, while the Hispanic labor force andemployment estimates were reduced by about 225,000 and215,000, respectively. The changes had only a small impact onoverall and subgroup unemployment rates and otherpercentages of labor market participation. An explanation >fthe changes and an indication of their effect on national laborforce estimates appear in "Revisions in the Current PopulationSurvey Effective January 1999" in the February 1999 issue ofthis publication.
• Beginning in January 2003, several major changes were
introduced into the CPS. These changes included:
a) Population controls that reflected the results of Census2000 were introduced into the monthly CPS estimationprocess. These new population controls substantiallyincreased the size of the civilian noninstitutional populationand the civilian labor force. Data from January 2000 throughDecember 2002 were revised to reflect the higher populationestimates from Census 2000 and the higher rates ofpopulation growth since the census. At the start of therevision period (January 2000), the new controls raised thecivilian noninstitutional population and the civilian laborforce by 2.6 and 1.6 million, respectively. By December
2002, the civilian population and labor force were 3.8 and2.5 million, respectively, higher than originally estimated.In addition to these revisions, the U.S. Census Bureauintroduced another large upward adjustment to thepopulation controls as part of its annual update of popula-tion estimates for 2003. The entire amount of this adjust-ment was added to the labor force data in January 2003resulting in increases of 941,000 to the civiliannoninstitutional population and 614,000 to the civilianlabor force. The unemployment rate and other ratios werenot substantially affected by either of these populationcontrol adjustments.
b) The modification of the questions on race and Hispanicorigin to comply with new standards for maintaining,collecting, and presenting Federal data on race and ethnicityfor Federal statistical agencies. In accordance with the newstandards, the following changes were made to the CPSquestions: 1) Individuals were now asked whether they areof Hispanic ethnicity before being asked about their race.Prior to 2003, individuals were asked their ethnic originafter they were asked about their race. 2) Individuals werenow asked directly if they are Spanish, Hispanic, or Latino.Previously, individuals were identified as Hispanic basedon their, or their ancestors5, country of origin. 3) With respectto race, the response category of Asian and Pacific Islanderswas split into two categories: a) Asian and b) Native Hawaiianor Other Pacific Islanders. 4) Individuals were allowed tochoose more than one race category. Prior to 2003,individuals who considered themselves to belong to morethan one race were required to select a single primary race.5) The questions were reworded to indicate that individualscould select more than one race category and to conveymore clearly "that individuals should report their ownperception of what their race is. These changes had no impacton the overall civilian noninstitutional population andcivilian labor force but did reduce the population and laborforce levels of whites, blacks or African Americans, andAsians beginning in. January 2003. For whites and blacks,the differences, resulted from the exclusion of individualswho reported more than one race from those groups. ForAsians, the difference resulted from the same restriction aswell as the split of the old Asian and Pacific Islander categoryinto two separate categories. Analysis of data from a specialCPS supplement conducted in May 2002 indicated that thesechanges reduced the population and labor force levels forwhites by about 950,000 and 730,000, respectively, and forblacks and African Americans by about 320,000 and 240,000,respectively, while having little or no impact on theirunemployment rates. For Asians, the changes had the effectof reducing the their population by about'1.1 million andtheir labor force by about 720,000, but did not have astatistically significant effect on their unemployment rate.The changes did not affect the sisse of the Hispanic or Latinopopulation and had no significant impact on the size oftheir labor force, but did cause an increase of about half apercentage point in their unemployment rate.
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c) Improvements were introduced to both the second-stage and composite weighting procedures. These changesadapted the weighting procedures to the new race/ethnicclassification system and enhanced the stability over timeof national and State/substate labor force estimates fordemographic groups.
More detailed information on these changes and anindication of their effect on national labor force estimatesappear in "Revisions to the Current Population SurveyEffective in January 2003" in the February 2003 issue ofthis publication available on the Internet at h t tp : / /www.bls.gov/cps/rvcpsO3.pdt
• Beginning in January 2004, the population controlsused in the survey were updated to reflect revised estimatesof net international migration for 2000 through 2003. Theupdated controls resulted in a decrease of 560,000 in theestimated size of the civilian noninstitutional population16 years of age and over for December 2003. The civilianlabor force and employment levels decreased by 437,000and 409,000, respectively. The Hispanic or Latino popula-tion and labor force estimates declined by 583,000 and446,000, respectively and Hispanic or Latino employmentwas lowered by 421,000. The updated controls had little orno effect on overall and subgroup unemployment rates andmeasures of labor market participation. More detailedinformation on the effect of the updated controls onnational labor force estimates appears in "Adjustments toHousehold Survey Population Estimates in January 2004"in the February 2004 issue of this publication available onthe Internet at http://www.bls.gov/cps/cpsO4adj.pdf.
• Beginning in January 2005, the population controls usedin the survey were adjusted to reflect revised estimates ofnet international migration and updated vital statisticsinformation. The updated controls resulted in a decrease of8,000 in the estimated size of the civilian noninstitutionalpopulation 16 years of age and over for December 2004. Thecivilian labor force and employment levels decreased by49,000 and 45,000, respectively. The updated controls hadno effect on overall and subgroup unemployment rates andmeasures of labor market participation such the labor forceparticipation rate and the employment-population ratio. Moredetailed information on the effect of the updated controls onnational labor estimates appears in "Adjustments toHousehold Survey Population Estimates in January 2005" inthe February 2005 issue of this publication available on theInternet at http://www.bls.gov/cps/cpsO5adj.pdf.
Changes in the occupational and industrialclassification systemsBeginning 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 CPS ques-
tionnaire in order to more precisely determine the occupationalclassification of individuals. As a result of these changes, mean-ingful comparisons of occupational employment levels couldnot be made between 1971-72 and prior years nor betweenthose 2 years. Unemployment rates were not significantlyaffected. For a tether explanation of the changes in the occu-pational classification system, see"Revisions in OccupationalClassifications for 1971" and "Revisions in the Current Popu-lation Survey" in the February 1971 and February 1972 issues,respectively, of this publication.
Beginning in January 1983, the occupational and industrialclassification systems used in the 1980 census were introducedinto the CPS. The 1980 census occupational classificationsystem evolved from the Standard Occupational Classification(SOC) system and was so radically different in concepts andnomenclature from the 1970 system that comparisons ofhistorical data are not possible without major adjustments. Forexample, the 1980 major group "sales occupations" issubstantially larger than the 1970 category "sales workers."Major additions include "cashiers" from "clerical workers" andsome self-employed proprietors in retail trade establishmentsfrom "managers and administrators, except farm."
The industrial classification systeih used in the 1980 cen-sus was based on the 1972 Standard Industrial Classification(SIC) system, as modified in 1977. The adoption of the newsystem had much less of an adverse effect on historical com-parability than did the new occupational system. The mostnotable changes from the 1970 system were the transfer offarm equipment stores from "retail" to "wholesale" trade andof postal service from "public administration" to "transpor-tation," and some interchange between "professional andrelated services" and "public administration." Additional in-formation on the 1980 census occupational and industrialclassification systems appears in "Revisions in the CurrentPopulation Survey Beginning in January 1983" in the Feb-ruary 1983 issue of this publication.
Beginning in January 1992, the occupational and indus-trial classification systems used in the 1990 census were intro-duced into the CPS. (These systems were based largely on the1980 Standard Occupational Classification (SOC) and 1987Standard Industrial Classification (SIC) systems, respectively.)There were a few breaks in comparability between the 1980and 1990 census-based systems, particularly within the "tech-nical, sales, and administrative support" categories. The mostnotable changes in industry classification were the shift ofseveral industries from "business services" to "professionalservices" and the splitting of some industries into smaller,more detailed categories. A number of industry titles werechanged as well, with no change in content.
Beginning in January 2003, the 2002 Census Bureauoccupational and industrial classification systems wereintroduced into the CPS. These systems were derived fromthe 2000 Standard Occupational Classification (SOC) andthe 2002 North American Industry Classification System(NAICS). The composition of detailed occupational andindustrial classifications in the new classification systems
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was substantially changed from the previous systems in useas was the structure for aggregating them into broad group;;.Consequently, the use of the new classification systemscreated breaks in existing data series at all levels ofaggregation* Additional information on the 2002 CensusBureau occupational and industrial classification systemsappears in "Revisions to the Current Population SurveyEffective in January 2003" in the February 2003 issueof this publication available on the Internet at http://www.bls.gOT/cps/ircps03.pdf.
SamplingSince the inception of the survey, there have been variouschanges in the design of the CPS sample. The sample tradi-tionally is redesigned and a new sample selected after eachdecennial census. Also, the number of sample areas and thenumber of sample persons are changed occasionally. Mostof these changes are made to improve the efficiency of thesample design, increase- the reliability of the sample esti-mates, or control cost.
Changes in this regard since 1960 are as follows: WhenAlaska and Hawaii received statehood in 1959 and 1960,respectively, three sample areas were added to the existingsample to account for the.population of these States, In Janu-ary 1978, a supplemental sample of 9,000 housing unita,selected in 24 States and the District of Columbia, was de-signed to provide more reliable annual average estimates foeStates. In October 1978, a coverage improvement sample- ofapproximately 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 May 1981.In January 1982, the sample was expanded by 100 house-hold^ to provide additional coverage in counties added tothe Standard Metropolitan Statistical Areas (SMSAs), whichwere redefined in 1973. In January 1985, a new State-basedCPS sample was selected based on 1980 censusinformation. A sample reduction of about 4,000 householdswas,implemented in April 1988; the households were rein-stated during the 8-month period, April-November 1989= Aredesigned CPS sample based on the 1990 decennial censuswas selected for use during the 1990s. Households from thisnew sample were phased into the CPS between April 1994and July 1995. The July 1995 sample was the first monthlysample based entirely on the 1990 census. For further infor-mation on the 1990 sample redesign, see "Redesign of theSample for the Current Population Survey" in the May 1994issue of this publication.
In 1996, the original sample design reliability criteriawere modified to reduce costs,, In July 2001, the CPS sampleswas expanded to support the State Children's Health Insur-ance Program- A redesigned CPS sample based on Census2000, the 2000 decennial census, was selected for use dur-ing the 2000s. Households from the new sample were phasedinto the CPS from April 2004 to July 2005. The July 2005
sample was the first monthly sample based entirely on Cen-sus 2000. For further information on the 2000 sample rede-sign, see "Redesign of the Sample for the Current Popula-tion Survey" in the December 2004 issue of this publica-tion.
The current criteria, given below, are.based on the coeffi-cient of variation (CV) of the unemployment level, wherethe CV is defined as the standard error of the estimate di-vided by the estimate, expressed as a percentage. These CVcontrols assume a 6-percent unemployment rate to establisha consistent specification of sampling error.
The current sample design includes about 72,000 "as-signed" housing units from 824 sample areas. Sufficientsample is allocated to maintain, at most, a 1.9-percent CVon national monthly estimates of unemployment level, as-suming a 6-percent unemployment rate. This translates intoa change of 0.2 percentage point in title unemployment ratebeing significant at a 90-percent confidence level. For eachof the 50 States and for the District of Columbia, the designmaintains a CV of at most 8 percent :on the annual averageestimate of unemployment level, assuming a 6-percent un- •employment rate. About 60,000 housing units are requiredin order to meet the national and State reliability criteria.Due to the national reliability criterion, estimates for sev-eral large States are substantiality more reliable than theState design criterion requires. Annual-average unemploy-ment estimates-for California, Florida,New York, and Texas,for example, carry a CV of less than 4 percent'. In support ofthe State Children's Health Insurance Program, about 12,000additional housing units are allocated to the District of Co-lumbia and 26 States. (These are generally the States withthe smallest samples after the 60,000 housing units are al-located to satisfy the national and State reliability criteria.)
In the first stage of sampling, the 824 sample areas arechosen. In the second stage, ultimate- sampling units areselected. Each month, about 72,000 housing units are as-signed for data collection, of which about 60,000 are occu-pied and thus eligible ifor interview. The remainder are unitsfound to be destroyed, vacant, converted to nonresidentialuse, containing persons whose usual place of residence iselsewhere, or ineligible for other reasons. Of the 60,000housing units, about 7.5 percent are not interviewed in agiven month due to temporary absence (vacation, etc.), other'failures to make contact after repeated attempts, inabilityof persons contacted to respond, unavailability for otherreasons, and refusals to cooperate (about half of thenoninterviews). Information is obtained each month forabout 112,000 persons 16 years of age or older.
Selection of sample areas. The entire area of the UnitedStates, consisting of 39142 counties and independent cit-.ies, is divided into 2,025 sample units (PSUs). A PSU con-sists of a county or a number of contiguous counties.
Metropolitan areas within a State are used as a basis for .forming PSUs. Outside of metropolitan areas, counties nor-mally are combined except when the geographic area of anindividual county is too large. Combining counties to form
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PSUs provides greater heterogeneity; a typical PSU includesurban and rural residents of both high and low economiclevels and encompasses, to the extent feasible, diverse oc-cupations and industries. Another important considerationis that the PSU be sufficiently compact so that, with a smallsample spread throughout, it can be efficiently canvassedwithout undue travel cost.
The 2,025 PSUs are grouped into strata within each State.Then, one PSU is selected from each stratum with the prob-ability of selection proportional to the population of thePSU. Nationally, there are a total of 446 PSUs in strata bythemselves. These strata are self-representing and are gener-ally the most populous PSUs in each State. The 328 remain-ing strata are formed by combining PSUs that are similar insuch characteristics as unemployment, proportion of hous-ing units with three or more persons, number of personsemployed in various industries, and average monthly wagesfor various industries. The single PSU randomly selectedfrom each of these strata is nonself-representing because itrepresents not only itself but the entire stratum. The prob-ability of selecting a particular PSU in a nonself-represent-ing stratum is proportional to its 2000 population. Forexample, within a stratum, the chance that a PSU with apopulation of 50,000 would be selected for the sample istwice that for a PSU having a population of 25,000.
Selection of sample households. Because the sample design isState based, the sampling ratio differs by State and depends onState population size as well as both national and State reli-ability requirements. The State sampling ratios range roughlyfrom 1 in every 100 households to 1 in every 3,000 house-holds. The sampling ratio occasionally is modified slightly tohold the size of the sample relatively constant given the over-all growth of the population. The sampling ratio used within asample PSU depends on the probability of selection of the PSUand the sampling ratio for the State. In a sample PSU with aprobability of selection of 1 in 10 and a State sampling ratio of3,000, a within-PSU sampling ratio of 1 in 300 achieves thedesired ratio of 1 in 3,000 for the stratum.
The 2000 within-PSU sample design was developed usingblock-level data from Census 2000. Normally, census blocksare bounded by streets and other prominent physical fea-tures such as rivers or railroad tracks. County, minor civildivision, and census place limits also serve as block bound-aries. In cities, blocks can be bounded by four streets and bequite small in land area. In rural areas, blocks can be severalsquare miles in size.
For the purpose of sample selection, census blocks weregrouped into three strata: Unit, group quarters, and area.(Occasionally, units within a block were split between theunit and group-quarters strata.) The unit stratum containedregular housing units with addresses that were easy to locate(for example, most single-family homes, townhouses, con-dominiums, apartment units, and mobile homes). The group-quarters stratum contained housing units in which residentsshared common facilities or received formal or authorizedcare or custody. Unit and group-quarters blocks exist prima-
rily in urban areas. The area stratum contains blocks withaddresses that are more difficult to locate. Area blocks existprimarily in rural areas.
To reduce the variability of the survey estimates and to en-sure that the within-PSU sample would reflect the demographicand socioeconomic characteristics of the PSU, blocks withinthe unit, group-quarters, and area strata were sorted using geo-graphic and block-level data from the census. Examples of thecensus variables used for sorting include proportion of minor-ity renter-occupied housing units, proportion of housing unitswith female householders, and proportion of owner-occupiedhousing units. The specific sorting variables used differed bytype of PSU (urban or rural) and stratum. ,
Within each block, housing units were sorted geographi-cally. A systematic sample of these units was then selectedindependently from each stratum using the, appropriate within-PSU sampling ratio. The geographic sorting of the sample unitsreduces field representative travel costs. Prior to interviewing,special listing procedures are used to locate the particularsample addresses in the group-quarters and area blocks.
Units in the three strata described above all existed at thetime of Census 2000. Through a series pf additional proce-dures, a sample of building permits is included in the CPS torepresent housing units built after the decennial census.Adding these newly built units keeps the sample up to dateand representative of the population. It also helps to keepthe sample size stable: Over the life of the sample, the addi-tion of newly built housing units compensates for the loss of"old" units that may be abandoned, demolished, or convertedto nonresidential use.
Rotation of sample. Part of the sample is changed eachmonth. Each monthly sample is divided into eight represen-tative subsamples or rotation groups. A given rotation groupis interviewed for a total of 8 months, divided into two equalperiods. It is in the sample for 4 consecutive months, leavesthe sample during the following 8 months, and then returnsfor another 4 consecutive months. In each monthly sample,one of the eight rotation groups is in the first month of enu-meration, another rotation group is in the second month, andso on. Under this system, 75 percent of the sample is com-mon from month to month, and 50 percent is common fromyear to year for the same month. This procedure provides asubstantial amount of month-to-month and year-to-year over-lap in the sample, thus providing better estimates of changeand reducing discontinuities in the data series without bur-dening any specific group of households with an undulylong period of inquiry.
CPS sample, 1947 to present. Table 1-A provides adescription of some aspects of the CPS sample designs in usesince 1947. A more detailed account of the history of theCPS sample design appears in chapter 2 of "The CurrentPopulation Survey: Design and Methodology," TechnicalPaper 63RV, (Washington, U.S. Census Bureau and Bureauof Labor Statistics, March 2002), available on the Internet atwww.bls.censes.gov/cps/tp/tp63.htm. A description of theCensus 2000-based sample design appears in "Redesign of
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Table 1-A. Characteristics of the CPS sample, 19471© present
Period
Aug. 1947 to Jan. 1954Feb. 1954 to Apr. 1956 .*May 1956 to Dec.1959Jan. 1960 to .Feb. 1963Mar. 1963 to Dec.1966Jan. 1967 to July 1971Aug. 1971 to July 1972..............................Aug. 1972 to Dec. 1977..............................Jan. 1978 to Dec. 1979..............................Jan. 1980 to Apr. 1981..............................May 1981 to Dec. 1984Jan. 1985 to Mar. 1988Apr. 1988 to Mar. 1989Apr. 1989 to Oct. 1994-3.....................Nov. 1994 to Aug. 1995 4...........................Sept. 1995 to Dec. 1995Jan. 1996 to June 2001July 2001 to July 2004 5 .............................Aug. 2004 to present5
Number of sampleareas
68230
1330^333357449449461614629629729729729792792754754824
Households eligible
interviewed
21,00021,00033,50033,50033,50048,00045,00045,00053,50062,20057,80057,00053,20057,40054850052s90046,25055,500559500
Not interviewed
500-1,000500-1,000
1,5001,5001,5002,0002,0002,0002,5002,8002,5002,5002,6002,6003,5003,4003,7504,5004,500
Households visitedbut not eligible
3,000-3,5003,000-3,500
6,0006,0006,0008,5008,0008,000
10,00012,00011,00011,00011,50011,80010,000
9,70010,00012,00012,000
1 Beginning in May 1956, these areas were chosen to provide coverage? ineach State and the District of Columbia.
2 Three sample areas were added in 1960 to represent Alaska and Hawaiiafter statehood.
3 The sample was increased incrementally during the 8-month period, April-November 1989.
4 Includes 2,000 additional assigned housing units from Georgia and Virginiathat were gradually phased in during the 10-month period, October 1994-August 1995.
5 Includes 12,000 assigned housing units in support of the State Children'sHealth Insurance Program,
the Sample'for the Current Population Survey/' In theDecember 2004 Issue of this publication*
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. Hie 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 personxepi € •sents. Since 1985, most sample persons within the same Statehave had the same probability of selection. Some selectionprobabilities may differ within a State due to the sampledesign or for operational reasons. Field subsampling, for ex-ample, whichis carried out when areas selected for the sampleare found to contain many more households than expected,may cause probabilities of selection to differ for some sampleareas within,a State.,Through a series of estimation step!-;(outlined below), the selection probabilities are adjusted fornoninterviews and .survey undercoverage; data from previ-ous months are incorporated into the estimates through thecomposite estimation procedure*
/ . Noninterview adjustment The weights for all interviewedhouseholds are adjusted to account for occupied samplehouseholds for which no information was obtained becauseof absence, impassable roads, refusals, or unavailability ofthe respondents for. other reasons. This noninterview adjust-ment is made separately for clusters of similar sample areasthat are usually, but not necessarily, contained within a State.Similarity of sample areas is based on Metropolitan Statisti-
cal Area (MSA) status and size. Within each cluster, there isa further breakdown by residence. Each MSA cluster is splitby "central city59 and "balance of the MSA." Each non-MSAcluster is split by '"urban" and "rural" residence categories.The proportion of sample households not interviewed variesfrom 7 to 8 percent, depending on weather, vacation, etc.
2. Ratio estimates. The distribution of the population se-lected for the sample may differ somewhat, by chance, fromthat of the population as a whole in such characteristics asage9 race, sex, and State of residence. Because these charac-teristics are closely correlated with labor'force participationand other principal measurements made from the sample, thesurvey estimates can be substantially improved whenweighted appropriately by the known distribution of thesepopulation characteristics. This is accomplished throughtwo stages of ratio adjustment, as follows:
a. First-stage ratio estimation. The purpose of the first-stage ratio adjustment is to reduce the contribution to vari-ance that results from selecting a sample of PSUs rather thandrawing sample households from every PSU in the Nation.This adjustment is made to the CPS weights in tw;o race cells:Black and nonblack; it is applied only to PSUs that are notself-representing and for those States that have a.substantialnumber of black households. The procedure corrects for dif-ferences that existed in each State cell at the time of Census2000 between 1) the race distribution of the population insample PSUs and 2) the race distribution of all PSUs. (Both 1and 2 exclude self-representing PSUs.)
k National coverage adjustment The purpose of thisstep is to improve the adjustment for subpopulations mostprone to undercoverage. It adjusts CPS sample weights toindependent population estimates for 34 white non-
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Hispanic, 26 black non-Hispanic, 18 Asian non-Hispanic,18 residual race non-Hispanic, 26 white Hispanic, and 4non-white Hispanic age-sex cells.
c. State coverage adjustment This step adjusts CPSsample weights to independent state population estimates.The number of age-sex cells for each state varies, dependingon the black and nonblack population.
d. Second-stage ratio estimation. This procedure sub-stantially reduces the variability of estimates and corrects, tosome extent, for CPS undercoverage. A national-coveragestep and a State-coverage step make preliminary correctionsfor undercoverage. The CPS sample weights are thenadjusted to ensure that sample-based estimates of popula-tion match independent population controls. Three sets ofcontrols are used in different steps of the procedure:
1) State step: Civilian noninstitutional populationcontrols for 6 age-sex cells in the Los Angeles-Long Beachmetropolitan area, the balance of California, New York City,the balance of New York State, each of the other 48 States,and the District of Columbia.
2) Ethnicity step: National civilian noninstitutionalpopulation controls for 26 Hispanic and 26 non-Hispanicage-sex cells.
3) Race step: National civilian noninstitutionalpopulation controls for 34 white, 26 black, and 26 Asian-plus-residual-race age-sex cells.
The independent population controls are prepared by pro-jecting forward the resident population as enumerated onApril 1, 2000. The projections are derived by updatingdemographic census data with information from a variety ofother data sources that account for births, deaths, and netmigration. Estimated numbers of resident Armed Forcespersonnel and institutionalized persons reduce the residentpopulation to the civilian noninstitutional population. Priorto January 2003, the projections were based on earliercensuses. See "Revisions to the Current Population SurveyEffective in January 2003," in the February 2003 issue ofthis publication for a detailed discussion of changes to thesecond-stage weighting and composite estimating proce-dures that were introduced in January 2003.
3. Composite estimation procedure. The last step in thepreparation of most CPS estimates makes use of a compositeestimation 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 rota-tion groups common to both months. In addition, a biasadjustment term is added to the weighted average toaccount for relative bias associated with month-in-sampleestimates. This month-in-sample bias is exhibited byunemployment estimates for persons in their first and fifth
months in the CPS being generally higher than estimatesobtained for the other months.
The composite estimate results in a reduction in the sam-pling error beyond that which is achieved after the two stagesof ratio adjustment For some items, the reduction is substan-tial. The resultant gains in reliability are greatest in estimatesof month-to-month change, although gains usually are alsoobtained for estimates of level in a given month, change fromyear to year, and change over other intervals of time.
Rounding of estimatesThe sums of individual items may not always equal the to-tals shown in the same tables because of independent round-ing of totals and components to the nearest thousand. Simi-larly, sums of percent distributions may not always equal100 percent because of rounding. Differences, however, areinsignificant.
Reliability of the estimatesAn estimate based on a sample survey has two types of errorsampling error and nonsampling error. The estimated stan-dard errors provided in this publication are approximationsof the true sampling errors. They incorporate theeffect of some nonsampling errors in response and enumera-tion, but do not account for any systematic biases in thedata.
Nonsampling error. The full extent of nonsampling error isunknown, but special studies have been conducted to quan-tify some sources of nonsampling error in the CPS. Theeffect of nonsampling error is small on estimates of relativechange, such as month-to-month change; estimates ofmonthly levels tend to be affected to a greater degree.
Nonsampling errors in surveys can be attributed to manysources, for example, the inability to obtain information aboutall persons in the sample; differences in the interpretation ofquestions; inability or unwillingness of respondents to pro-vide correct information; inability of respondents to recallinformation; errors made in collecting and processing thedata; errors made in estimating values for missing data; andfailure to represent all sample households and all personswithin sample 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 may be found in Appen-dix G, "Reinterview: Design and Methodology," of"The Current Population Survey: Design and Methodology,"Technical Paper 63RV (Washington, U.S. Census Bureau andBureau of Labor Statistics, March 2002), available on theInternet at www.bls.census.gov/cps/tp/lp63.httm.
The effects of some components of nonsampling error in
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the CPS data can be examined as a result of the rotation planused for the sample, because the level of the estimates variesby rotation group. A description appears in Barbara A. Bailar,"The Effects of Rotation Group Bias on Estimates from PanelSurveys/9 Journal of the American Statistical Association?March 1975, pp. 23-30.
Undercoverage in the CPS results from missed housing-units and missed persons within sample households. TheCPS covers about 92 percent of the decennial census popu-lation (adjusted for census undercount). It is known that theCPS undercoverage varies with age? sex, race, and Hispanicorigin. Generally, undercoverage is larger for men than forwomen and is larger for blacks, Hispanics9 and other racesthan for whites. Ratio adjustment to independent age-sex™race-origin population controls, as described previously,partially corrects for the biases due to survey undercoverage.However, biases exist in the estimates to the extent that missedpersons in missed households or missed persons in inter-viewed households have characteristics different from thoseof interviewed persons in the same age-sex-race-origin group0
Additional information on nonsampling error in the CPSappears in Camilla Brooks and Barbara Bailar5 "An ErrorProfile: Employment as Measured by the Current PopulationSurvey/5 Statistical Policy Working Paper 3 (Washington,U.S. Department of Commerce5 Office of Federal StatisticalPolicy and Standards, September 1978); Marvin Thompsonand Gary Shapiro,- "The Current Population Survey: AnOverview/' Annals of Economic and Social Measurement,Vol. 2, April 1973; and "The Current Population Survey:Design and Methodology/' Technical Paper 63RV referencedabove. The last document includes a comprehensivediscussion of various sources of errors and describes attemptsto measure them in the CPS.
Sampling error. When a sample, rather than the entire popula-tion, is surveyed, estimates differ from the true population val-ues that they represent. This difference, or sampling error,occurs by chance, and its variability is measured by the stan-dard error of the estimate. Sample estimates from a given sur-vey design are unbiased when an average of the estimates fromall possible samples would yield, hypothetically, the true popu-lation value. In this case, the sample estimate and its standarderror can be used to-'construct approximate confidence inter-vals, or ranges of values that include the true population valuewith known probabilities. If the process of selecting a samplefrom the population were repeated many times, an estimatemade from each sample, and a suitable estimate of its standarderror calculated for each sample, then:
L Approximately 68 percent of the intervals from onestandard error below the estimate to one standard error abovethe estimate would include the true population value.
2. Approximately 90 percent of the intervals from 1.645standard errors below the estimate to 1.645 standard errorsabove the estimate would include the true population value,
3. Approximately 95 percent of the intervals from 1.96standard errors below the estimate to 1.96 standard errorsabove the estimate would include the true population value.
These confidence interval statements are approximatelytrue for the CPS. Although the estimating methods used inthe CPS do not produce unbiased estimates, biases for mostestimates are believed to be small. Methods for estimatingstandard errors reflect not only sampling errors but also somekinds of nonsampling error. Although both the estimates andthe estimated standard errors depart from the theoretical ideal,the departures are minor and have little impact on the confi-dence interval statements. When clarity is needed, an esti-mated confidence interval is specified to be "approximate/*as is the estimated standard error used in the computation.
Tables 1-B through 1-D are provided so that approximatestandard errors of estimates can be easily obtained. Tables• 1-B and 1-C give approximate standard errors for estimatedmonthly levels and rates for selected employment statuscharacteristics; the tables also provide approximate standard
Table 1-B. Approximate standard errors for major employ-ment statys categories(In thousands)
Characteristic
Total
Total, 16 years and over:Civilian labor force...............Employed.............................Unemployed ........................
Men, 20 years and over:Civilian labor force...............Employed.............................Unemployed ........................
Women, 20 years and over:Civilian labor forceEmployed................Unemployed ........................
Both sexes, 16 to 19 years:Civilian labor force...............Employed.............................Unemployed ........................
Black or African American
Total, 16 years and over:Civilian labor force ...............Employed ....Unemployed ........................
Men, 20 years and over:Civilian labor force...............EmployedUnemployed ........................
Women, 20 years and over:Civilian labor force...............EmployedUnemployed
Both sexes, 16 to 19 years:Civilian labor force...............Employed.....Unemployed ........................
Asian
Total, 16 years and over:Civilian labor forceEmployed.............................Unemployed ........................
Hispanic or Latino ethnicity
Total, 16 years and over:Civilian labor forceEmployed.............................Unemployed
Monthlylevel
300323155
162185104
20721792
14513261
12513474
768348
798546
413727
808229
11912966
Consecutivemonth-to-
month change
246265172
133152115
170178102
14213075
10211082
636853
657052
403634
6733
9710573
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Table 1-C. Approximate standard errors for unemploymentrates by major characteristics
(In percent)
Characteristic
TotalMenMen, 20 years and overWomenWomen, 20 years and over....Both sexes, 16 to 19 years ....
WhiteBlack or African AmericanAsianHispanic or Latino ethnicity ,Married men, spouse present.....Married women, spouse presentWomen who maintain families
Monthlyrate
0.10.14.14.14.14.78.11.44.46.34.14.16.46
Consecutivemonth-to-
-nonth change
0.12.16.15.16.16.97.12.49.51.38.15.18.52
errors for consecutive month-to-month changes in theestimates. It is impractical to show approximate standarderrors for all CPS estimates in this publication, so table 1-Dprovides parameters and factors that allow the user tocalculate approximate standard errors for a wide range ofestimated levels, rates, and percentages, and also changesover time. The parameters and factors are used in formulasthat are commonly called generalized variance functions.
The approximate standard errors provided in this publica-tion are based on the sample design and estimation proce-dures as of 1996, and reflect the population levels and samplesize as of that year. Standard errors for years prior to 1996may be roughly approximated by applying these adjustmentsto the standard errors presented here. (More accurate stan-dard error estimates for historical CPS data may be found inprevious issues of this publication.)
1. For the years 1967 through 1995, multiply the standarderrors by 0.96.
2. For the years 1956 through 1966, multiply the standarderrors by 1.17.
3. For years prior to 1956, multiply the standard errors by1.44.
Use of tables 1-B and 1-C. These tables provide a quickreference for standard errors of major characteristics. Table1-B gives approximate standard errors for estimates ofmonthly levels and consecutive month-to-month changesin levels for major employment status categories. Table 1-Cgives approximate standard errors for estimates of monthlyunemployment rates and consecutive month-to-monthchanges in unemployment rates for some demographic,occupational, and industrial categories. For characteristicsnot given in tables 1-B and 1-C, refer to table 1-D.
Illustration. Suppose that, for a given month, the numberof women age 20 years and over in the civilian labor force isestimated to be 65,000,000. For this characteristic, the ap-proximate standard error of 207,000 is given in table1-B in the row "Women, 20 years and over; Civilian laborforce." To calculate an approximate 90-percent confidenceinterval, multiply the standard error of 207,000 by the fac-
tor 1.645 to obtain 341,000. This number is subtractedfrom and then added to 65,000,000 to obtain an approxi-mate 90-percent confidence interval: 64,659,000 to65,341,000. Concluding that the true civilian labor forcelevel lies within an interval calculated in this way would becorrect for roughly 90 percent of all possible samples thatcould have been selected for the CPS.
Use of table 1-D. This table gives a and b parameters that canbe used with formulas to calculate approximate monthly stan-dard errors for a wide range of estimated levels, proportions,and rates. Factors are provided to convert monthly measuresinto approximate standard errors of estimates for other periods(quarterly and yearly averages) and approximate standard er-rors for changes over time (consecutive monthly changes,changes in consecutive quarterly and yearly averages, andchanges in monthly estimates 1 year apart).
The standard errors for estimated changes in level fromone month to the next, one year to the next, etc., dependmore on the monthly levels for characteristics than on thesize of the changes. Likewise, the standard errors for changesin rates (or percentages) depend more on the monthly rates(or percentages) than on the size of the changes. Accord-ingly, the factors presented in table 1-D. are applied to themonthly standard error approximations for levels, percent-ages, or rates; the magnitudes of the changes do not comeinto play. Factors are not given for estimated changes be-tween nonconsecutive months (except for changes of monthlyestimates 1 year apart); however, the standard errors may beassumed to be higher than the standard errors for consecu-tive monthly changes. ___.
se(x) = -yjax2 + bx
Standard errors of estimated levels using table 1-D. Theapproximate standard error se(x) of x, an estimated monthlylevel, can be obtained using the formula below, where a andb are the parameters from table 1-D associated with a particu-lar characteristic.
Illustration. Assume that, in a given a month, there are anestimated 4 million unemployed men. Obtain the appropri-ate a and b parameters from table 1-D (Total or white; Men;Unemployed). Use the formula for se(x) to compute an ap-proximate standard error on the estimate of x = 4,000,000.
a = -0.0000321 b = 2970.55
se(4,000,000) = /-M000321(4,000,,000)2 + 2970.55(4,000,000) * 107,000
Procedure for using table 1-D factors for levels. Table 1-Dgives factors that can be used to compute approximate stan-dard errors of levels for other periods or for changes overtime. For each characteristic, factors/are given for:
Consecutive month-to-month changesChanges in monthly estimates 1 year apartQuarterly averagesChanges in consecutive quarterly averagesYearly averagesChanges in consecutive yearly averages
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For a given characteristic, the table 1-D factor is used inthe following formula, which also uses the a and b param-eters from the same line of the table, A three-step procedurefor using the formula is given. The/ in the formula is fre-quently called an adjustment factor, because it appears toadjust a monthly standard error se(x). However, the x in theformula is not a monthly level, but an average of severalmonthly levels (see examples listed under Step 1, below),
se{xj) = f*se(x) =
where x is an average of monthly levels over a designate*;:!period.
Step 1. Average monthly levels appropriately in order toobtain x. Levels for 3 months are averaged for quarterlyaverages, and those for 12 months are averaged for yearlyaverages. For changes in consecutive averages, average overthe 2 months* 2 quarters, or 2 years involved. For changes mmonthly estimates 1 year apart, average the 2 months in-volved.
Step 2. Calculate an approximate standard error- se(x)v
treating the average x from step 1 as if it were an estimate oflevel'for a single month. Obtain parameters a and b fromtable 1-D. (Note that, for some characteristics, an approxi-mate standard error of level could instead be obtained fromtable 1-B and used in place ofse(x) in the formula.).
Step 3. Determine the standard error se (x9f) on the aver-age level or on the change in level. Multiply the result fromstep 2 by the appropriate factor/ The a and b parametersused in step 2 and the factor/used in this step come from thesame line in table 1-D.
Illustration of a standard error computation for consecu-tive month change in level Continuing the previous ex-ample, suppose that in the next month the estimated numba:of unemployed men increases by 150,000, from 4,000,000to. 4,150,000.
Step 1. The average of the two monthly levels is x =4,075,000.
Step 2. Apply the a and b parameters from table 1-D (Totalor white; Men; Unemployed) to the average x, treating it likean estimate for a single month.
a = -0.0000321 fe = 2970.55
se(4,075s000) = 7~0. .55(4,075,0 108,000
Step 3. Obtain / = 1.11 from the same row of table 1-D inthe column "Consecutive month-to-month change," and mul-tiply the factor by the result from step 2.
For an approximate 90-percent confidence interval, com-pute 1.645 * 120,000 « 197,000. Subtract the number fromand add the number to 150,000 to obtain an intervalof -47,000 to 347,000. This is an approximate 90-percentconfidence interval for the true change, and since this inter-val includes zero, one cannot assert at this level of confi-dence that any real change has occurred in the unemploy-ment level. The result also can be expressed by saying thatthe apparent change of 150,000 is not significant at a 90-percent confidence level
Illustration of a standard error computation for quarterlyaverage level Suppose that an approximate standard erroris desired for a quarterly average of the black or AfricanAmerican employment level Suppose that the estimatedemployment levels for the 3 months making up the quarterare 14,900,000, 15,000,000, and 15,100,000.
Step 1. The average of the three monthly levels is x =15,000,000.
Step 2. Apply the a and b parameters from table 1-D (Black;Total; Civilian labor force, employed, and not in labor force)to the average JC, treating it like an estimate for a single month.
a = -0.0001514 ib = 3454.72
se(15,000.00Q) « V~0-0 0 0 1 5 1 4 (15,000,000}2+3454.72(15,000,000) «133,000
Step 3. Obtain/= .87 from the same row of table 1-D in thecolumn "Quarterly averages," and multiply the factor by theresult from step 2.
se(15?G0Q?000) = .87 *133,00Q «116,000
Illustration of a standard error computation for change inquarterly level Continuing the example, suppose that, inthe next quarter, the estimated average employment level forblacks is 15,400,000, based on monthly levels of 15,300,000,15,400,000, and 15,500,000. This is an estimated increaseof 400,000 over the previous quairter.
Step 1. The average of the two quarterly levels is x =15,200,000.
Step 2. Apply the a and b parameters from table 1-D (Black;Total; Civilian labor force, emplo}'ed, and not in labor force)to the average x, treating it like an estimate for a single month.
a = -0.0001514 b = 3454.72
se(155200,000) = 7-0.0001514 (I5,200,0Q0)2+3454.72(I5,20G9000) « 132,000
Step 3. Obtain / = .82 from the same row of table 1-D inthe column "Change in consecutive quarterly averages," andmultiply the factor by the result from step 2.
,sra(150,000) = /*se(49Q75?Q00) = 1.11*108,000 «120,000 ^(400,000) = .82*^(15,200,000) = .82 *132?000 «108,000
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For an approximate 95-percent confidence interval, com-pute 1.96 * 108,000 « 212,000. Subtract the number fromand add the number to 400,000 to obtain an interval of188,000 to 612,000. The interval excludes zero. Anotherway of stating this is to observe that the estimated change of400,000 clearly exceeds 1.96 standard errors, or 212,000.One can conclude from these data that the change in quar-terly averages is significant at a 95-percent confidence level.
Standard errors of estimated rates and percentages usingtable 1-D. As shown in the formula below, the approximatestandard error se(p,y) of an estimated rate or percentagep depends, in part, upon the number of persons y in itsbase or denominator. Generally, rates and percentagesare not published unless the monthly base is greaterthan 75,000 persons, the quarterly average base is greaterthan 60,000 persons, or the yearly average base is greaterthan 35,000 persons. The b parameter is obtained fromtable 1-D. When the base y and the numerator of p arefrom different categories within the table, use the b param-eter from table 1-D relevant to the numerator of the rate orpercentage.
b_
y
Note that se(p,y) is in percent.
Illustration. For a given month, suppose y = 6,200,000women 20 to 24 years of age are estimated to be employed.Of this total, 2,000,000, or p = 32 percent, are classified aspart-time workers. Obtain the parameter b = 3095.55 fromthe table 1-D row (Employment; Part-time workers) that isrelevant to the numerator of the percentage. Apply the for-mula to obtain:
se(p,y) = J 3' V 6 ,
3095.55
200,000( ( 3 2)(100-32)«i .Opercent
For an approximate 95-percent confidence interval, com-pute 1.96 * 1.0 percent, and round the result to 2 percent.Subtract this from and add this to the estimate of p = 32percent to obtain an interval of 30 percent to 34 percent.
Procedure for using table 1-D factors for rates and percent-ages. Table 1-D factors can be used to compute approximatestandard errors on rates and percentages for otherperiods or for changes over time. As for levels, there are threesteps in the procedure for using the formula.
se{p,yj) = f*se(p,y) = / * I- - p )
where p and y are averages of monthly estimates over a des-ignated period. Note that se (p, y,f) is in percent.
Step 1. Appropriately average estimates of monthly ratesor percentages to obtain /?, and also average estimates ofmonthly levels to obtain y. Rates for 3 months are averagedfor quarterly averages, and those for 12 months are averagedfor yearly averages. For changes in consecutive averages,average over the 2 months, 2 quarters, or 2 yearsinvolved. For changes in monthly estimates 1 year apart,average the 2 months involved.
Step 2. Calculate an approximate standard errorse (p, y), treating the averages p and y from step 1 as if theywere estimates for a single month. Obtain the b parameterfrom the table 1-D row that describes the numerator of therate or percentage. (Note that, for some characteristics, anapproximate standard error could instead be obtained fromtable 1-C and used in place of se (p9 y) in the formula.)
Step 3. Determine the standard error se (p, y,f) on theaverage level or on the change in level. Multiply the resultfrom step 2 by the appropriate factor/. The b parameter usedin step 2 and the factor/used in this step come from the sameline in table 1-D.
Illustration of a standard error computation for consecu-tive month change in percentage. Continuing the previousexample, suppose that, in the next month, 6,300,000 women20 to 24 years of age are reported employed, and that2,150,000, or 34 percent, are part-time workers.
Step 1. The month-to-month change is 2 percent = 34percent - 32 percent. The average of the two monthly per-centages of 32 percent and 34 percent is needed (p = 33percent), as is the average of the two bases of 6,200,000 and6,300,000 (y = 6,250,000).
Step 2. Apply the b = 3095.55 parameter from table 1-D(Employment; Part-time workers) to the averaged p and y,treating the averages like estimates for a single month.
3095.55
5,250,000((33)(100-33) «1.0 percent
Step 3. Obtain/=1.24 from the same row of table 1-D inthe column "Consecutive month-to-month change," and mul-tiply the factor by the result from step 2.
se (2 percent) = 1.24 * 1.0 percent = 1.24 percent
For an approximate 95-percent confidence interval,compute 1.96 * 1.24 percent, and round the result to 2.4percent. Subtract this from and add this to the 2-percentestimate of change to obtain an interval of -0.4 percent to4.4 percent. Because this interval includes zero, it can beconcluded at a 95-percent confidence level that the changeis not significant.
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Table 1-D. Parameters and factors for computation of approximate standard errors
Characteristic
Parameters Factors
Consecutive Year-to-yearmontn-io-
month•change
changeof monthlyestimates
Quarterlyaverages
Change inconsecutive
quarterlyaverages
Yearlyaverages
Change inconsecutive
yearlyaverages
Total or white
Total:Civilian labor force and
employed.........................Unemployed........................Not in labor force ................
Men:Civilian labor force, employed,
and not in labor force........Unemployed........................
Women:Civilian labor force, employed,and not in labor force........
Unemployed ........................
Both sexes, 16 to 19 years:Civilian labor force, employed,
and not In labor force .........Unemployed.........................
Black or African American
Total:Civilian labor force, employed,and not in labor force.........
Unemployed.........................Men:'
Civilian labor force, employed,and not in labor force
Unemployed....
Women:Civilian labor force, employed,and not in labor force:.......,
Unemployed.........................
Both sexes, 16 to 19 years:Civilian labor force, employed,and not in labor force.........
Unemployed.........................
Asian
Total:Civilian labor force, employed,and not in labor force.........
Unemployed.........................
Men:Civilian labor force, employed,and not in labor force.........
Unemployed .........................Women:
Civilian labor force, employed,and not In labor force.........
Unemployed.........................
Both sexes, 16 to 19 years:Civilian labor force, employed,and not in labor force.........
Unemployed .........................
Hispanic or Latino ethnicity
Total:Civilian labor force, employed,and not In labor force.........
Unemployed .........................
Men:Civilian labor force, employed,and not in labor force.........
Unemployed.........................
-0.0000167-.0000164-.0000087
-.0000321.0000321
-,0000304.,0000304
-,0000225.0000225
^.0001514•.0001514
-.0003109-,0003109
-.0002516-.0002516
.0016321=.0016321
-.0003462-.0003462
-.0007289.0007289
-.0006594•.0006594
-.0041465-,0041465
-.0001412•D001412
-.0002528-.0002528
3067.773095.551833.31
2970.552970.55
2782.442782.44
3095.553095.55
3454.723454.72
3356.663356.66
3061.853061.85
3454.723454.72
3198.153198.15
3198.153198.15
3198.153198.15
3198.153198.15
3454.723454.72
3356.663356.66
0.821/11.82
.821 . 1 1
1 . T 1 1
.981.24
.821.11
.821.11
.821.11
1.24
.821.11
.821.11
.821.11
.981.24
.821.11
.821.11
1.191.351.16
1.191.35
1.191.35
1.311.39
1.191.35
1.171.35
1.181.35
1.311.39
1.271.48
1.281.42
1.311.49
1.311.38
1.191.35
1.191.35
0.87.74.87
.87
.74
.87
.74
.82
.87
.74
.83
.74
.86
.74
.80
.68
.85
.73
.83
.73
.85
.73
.82
.69
.85
.73
.82
.74
0.82.91.80
.82
.91
.82
.91
.85
.88
.82
.91
.81
.91
.78
.91
.90
.88
.89
.90
.92
.92
.86
.89
.85
.85
.81
.91
.86
.91
0.66.44.66
.66
.44
.66
.44
.57
.39
.66
.44
.62
.44
.67
.44
.53
.39
.58
.44
.55
.43
.61
.43
.57
.44
.64
.44
.57
.44
0.79.59.79
.79
.59
.79
.59
.73
.52
.79
.59
.75
.59
.80
.59
.68
.52
.74
.58
.71
.56
.77
.59
.73
.56
.77
.59
.72
.59
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Table 1-D. Parameters and factors for computation of approximate standard errors—Continued
Characteristic
Parameters Factors
Consecutivemonth-to-
monthchange
Year-to-yearchange
of monthlyestimates
Quarterlyaverages
Change inconsecutive
quarterlyaverages
Yearlyaverages
Change inconsecutive
yearlyaverages
Hispanic or Latinoethnicity—Continued
Women:Civilian labor force, employed
and not in labor force.Unemployed
Both sexes, 16 to 19 years:Civilian labor force, employed,and not in labor force
Unemployed
Employment
Educational attainment
Marital status, menMarital status, women....Women who maintain families
Nonagricultural industries:Total
Wage and salary workers..Self-employed workersUnpaid family workers
Full-time workersPart-time workers
Multiple jobholders
At work
Total and nonagriculturalindustries:
Total1 to 4 or 5 to 14 hours15 to 29 hours30 to 34 or 35 to 39 hours .1 to 34 or 40 hours41 to 48 or 49 to 59 hours .35+, 41+, or 60+ hours
Part time for economicreasons
Part time for noneconomicreasons
Unemployment
Educational attainment
Marital status, menMarital status, women
Women who maintain families
Industries and occupations...
Full-time workersPart-time workersLess than 5 weeks5 to 14 weeks15 to 26 weeks15+ or 27+ weeks
All reasons for unemployment,except temporary layoff .....
On temporary layoff
Not in the labor force
TotalPersons who currently wanta job and discouragedworkers
-.0002664-.0002664
-.0015280-.0015280
•0.0000164
-.0000321-.0000304-.0000304
-.0000164-.0000164-.0000164-.0000164
-.0000164-.0000164
-.0000164
-.0000164-.0000164-.0000164-.0000164-.0000164-.0000164-.0000164
-.0000164
-.0000164
-.0000164
-.0000321-.0000304-.0000304
-.0000164
-.0000164-.0000164
-.0000164-.0000164-.0000164-.0000164
-.0000164-.0000164
-.0000087
-.0000164
3061.853061.85
3454.723454.72
3095.55
2970.552782.442782.44
3095.553095.553095.553095.55
3095.553095.55
3095.55
3095.553095.553095.553095.553095.553095.553095.55
3095.55
3095.55
3095.55
2970.552782.442782.44
3095.55
3095.553095.55
3095.553095.553095.553095.55
3095.553095.55
1833.31
3095.55
.821.11
.981.24
.82
.82
.82
.82
.82
.82
.82
.98
1.111.24
1.11
.821.241.111.241.111.241.11
1.21
1.21
1.11
1.111.111.11
1.11
1.111.24
1.111.241.241.11
1.111.11
.82
1.24
1.191.35
1.321.39
1.19
1.211.061.16
1.161.261.141.30
1.351.42
1.26
1.141.361.351.421.281.351.29
1.38
1.29
1.30
1.411.371.38
1.37
1.331.43
1.301.451.451.33
1.301.30
1.11
1.23
.85
.72
.79
.68
.85
.87
.88
.86
.87
.87
.86
.79
.78
.67
.81
.86
.70
.74
.67
.78
.68
.74
.70
.75
.72
.76
.74
.75
.73
.76
.67
.72
.68
.69
.77
.72
.68
.87
.65
.80
.89
.88
.88
.92
.88
.86
.91
.82
.87
.94
.94
.88
.88
.92
.91
.89
.86
.88
.83
.87
.88
.87
.86
.83
.89
.91
.89
.89
.89
.87
.83
.91
.90
.92
.83
.85
.78
.85
.67
.42
.50
.39
.59
.63
.65
.59
.65
.62
.56
.46
.54
.40
.52
.60
.43
.47
.40
.55
.42
.47
.43
.50
.46
.45
.42
.45
.45
.47
.38
.46
.36
.38
.46
.46
.44
.68
.38
.80
.57
.68
.52
.73
.77
.78
.73
.79
.77
.73
.65
.66
.50
.66
.74
.54
.62
.50
.68
.51
.62
.55
.60
.59
.66
.59
.61
.60
.63
.51
.59
.49
.54
.63
.59
.55
.79
.48
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Establishment Dataf SB" tables)
DATA COLLECTION
BLS cooperates with State Workforce Agencies in theCurrent Employment Statistics (CES), or establishment,survey to collect data each month on employment, hours,and earnings from a sample of nonfarm establishments(including government). The sample includes about 160,000businesses and government agencies covering approximately400,000 individual worksites. The sample is drawn from asampling frame of over 8 million unemployment insurancetax accounts. The active CES sample includes approximatelyone-third of all nonfarm payroll workers. From these datai3a large number of employment, hours, and earnings seriesin considerable industry and geographic detail are preparedand published each montk Historical statistics are availableat http://www.bls.gov, the BLS Internet site.
Each month, BLS and the State agencies collect data onemployment, payrolls, and paid hours from a sample ofestablishments. BLS has established a comprehensiveprogram of new sample unit solicitation in the three BLSregional office data collection centers (DCCs). The DCCsperform initial enrollment of each firm via telephone, collectthe data for several months via computer assisted telephoneinterviewing (CATI), and, where possible^ transferrespondents to a self-reporting mode such as touchtone dataentry (TOE), FAX, Or Web. In addition, the DCCs conductan ongoing program of refusal conversion* Very large firmsare often enrolled via personal visit and ongoing reportingis established via electronic data interchange (EDI).
EDI is the most frequently used collection mode (32percent of respondents), while CATI and TDE are eachused by about one-quarter of the respondents. UnderEDI, the firm provides an electronic file to BLS each monthin a prescribed file format. This file includes data for all ofthe firms3 worksites. The file is received^ processed, andedited by the BLS-operated EDI Center, Under the TDEsystem, the respondent uses a touchtone telephone to call atoll-free number and activate an interview session. Thequestionnaire resides on the computer in the form ofprerecorded questions that are read to the respondent. Therespondent enters numeric responses by pressing thetouchtone phone buttons. Each answer is read back foirrespondent verification*
CATI and FAX collection through the regional BLS DCCscombined account for most of the remainder of the reports,For establishments that do not use the above methods, dataare collected by the State agency using mail3 FAX, transcript,,magnetic tape3 or computer diskette. About 53000 firmsprovide data through the World Wide Web,
Chart 1 shows the percentage of the establishments usingdifferent data collection methods.
CONCEPTS
Industrial classificationAll data on employment, hours, and earnings for the Nationand for States and areas are classified in accordance withthe 2002 North American Industry Classification System(NAICS), U.S. Office of Management and Budget. TheUnited States, Canada, and Mexico share this classificationsystem, and thus it allows a direct comparison of economicdata between the three countries.
Establishments are classified into industries on the basisof their primary activity. Those that use comparable capitalequipment, labor, and raw material inputs are classifiedtogether. This information is collected on a supplement tothe quarterly unemplo3?ment insurance tax reports filed byemployers. For an establishment engaging in more than oneactivity, the entire employment of the establishmentis included under the industry indicated by the principalactivity.
Industry employmentEmployment data refer to persons on establishment payrollswho received pay for any part of the pay period that includesthe 12th day of the montk
Chart 1. Distribution of CES sample bycollection mode
EDI_32%~
24%
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The data exclude proprietors, the self-employed, unpaidvolunteer or family workers, farmworkers, and domesticworkers. Salaried officers of corporations are included.Government employment covers only civilian employees;military personnel are excluded. Employees of the CentralIntelligence Agency, the Defense Intelligence Agency, theNational Geospatial-Intelligence Agency, and the NationalSecurity Agency also are excluded.
Persons on establishment payrolls who are on paid sickleave (for cases in which pay is received directly fromthe firm), on paid holiday, or on paid vacation, or who workduring a part of the pay period even though they areunemployed or on strike during the rest of the period arecounted as employed. Not counted as employed are personswho are on layoff, on leave without pay, or on strike for theentire period, or who were hired but have not yet reportedduring the period.
Industry hours and earningsAverage hours and earnings data are derived from reports ofpayrolls and hours for production and related workers innatural resources and mining and manufacturing,construction workers in construction, and nonsupervisoryemployees in private service-providing industries.
Production and related workers. This category includesworking supervisors and all nonsupervisory workers(including group leaders and trainees) engaged in fabricating,processing, assembling, inspecting, receiving, storing,handling, packing, warehousing, shipping, trucking, hauling,maintenance, repair, janitorial, guard services, productdevelopment, auxiliary production for plant's own use(for example, power plant), recordkeeping, and otherservices closely associated with the above productionoperations.
Construction workers. This group includes the followingemployees in the construction division: Workingsupervisors, qualified craft workers, mechanics, apprentices,helpers, laborers, and so forth, engaged in new work,alterations, demolition, repair, maintenance, and the like,whether working at the site of construction or in shops oryards at jobs (such as precutting and preassembling)ordinarily performed by members of the constructiontrades.
Nonsupervisory employees. These are employees (not abovethe working-supervisor level) such as office and clericalworkers, repairers, salespersons, operators, drivers,physicians, lawyers, accountants, nurses, social workers,research aides, teachers, drafters, photographers, beauticians,musicians, restaurant workers, custodial workers, attendants,line installers and repairers, laborers, janitors, guards,and other employees at similar occupational levels whoseservices are closely associated with those of the employeeslisted.
Payroll This refers to the payroll for full- and part-timeproduction, construction, or nonsupervisory workerswho received pay for any part of the pay period thatincludes the 12th day of the month. The payroll is reportedbefore deductions of any kind, such as those for old-age andunemployment insurance, group insurance, withholding tax,bonds, or union dues; also included is pay for overtime,holidays, and vacation, and for sick leave paid directly bythe firm. Bonuses (unless earned and paid regularly eachpay period); other pay not earned in the pay period reported(such as retroactive pay); tips; and the value of free rent,fuel, meals, or other payment in kind are excluded. Employeebenefits (such as health and other types of insurance,contributions to retirement, and so forth, paid by theemployer) also are excluded.
Hours. These are the hours paid for during the pay periodthat includes the 12th of the month for production,construction, or nonsupervisory workers. Included are hourspaid for holidays and vacations, and for sick leave whenpay is received directly from the firm.
Overtime hours. These are hours worked by production orrelated workers for which overtime premiums were paid becausethe hours were in excess of the number of hours of either thestraigjit-time workday or the workweek during the pay periodthat included the 12th of the month. Weekend and holidayhours are included only if overtime premiums were paid. Hoursfor which only shift differential, hazard, incentive, or othersimilar types of premiums were paid are excluded.
Average weekly hours. The workweek information relatesto the average hours for which pay was received and isdifferent from standard or scheduled hours. Such factors asunpaid absenteeism, labor turnover, part-time work, andstoppages cause average weekly hours to be lower thanscheduled hours of work for an establishment. Groupaverages further reflect changes in the workweek ofcomponent industries.
Indexes of aggregate weekly hours and payrolls. Theindexes of aggregate weekly hours are calculated by divid-ing the current month's aggregate by the average of the12 monthly figures for 2002. For basic industries, thehours aggregates are the product of average weekly hoursand production worker or nonsupervisory workeremployment. At all higher levels of industry aggre-gation, hours aggregates are the sum of the componentaggregates.
The indexes of aggregate weekly payrolls are calculatedby dividing the current month's aggregate by the average ofthe 12 monthly figures for 2002. For basic industries, thepayroll aggregates are the product of average hourly earningsand aggregate weekly hours. At all higher levels of industryaggregation, payroll aggregates are the sum of the componentaggregates.
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Average overtime hours. Overtime hours represent thatportion of average weekly hours that exceeded regular hoursand for which overtime premiums were paid. If an employeewere to work on a paid holiday at regular rates, receiving astotal compensation their holiday pay plus straight-time payfor. hours worked that day, no overtime hours would bereported.
Because overtime hours are premium hours by definition,weekly hours and overtime hours do not necessarily move?in the same direction from month to month. Such factors aswork stoppages, absenteeism, and labor turnover may nothave the same influence on overtime hours as on average;hours. Diverse trends at the industry group level also maybe caused by a marked change in hours for a component;industry in which little or no overtime was worked in boththe previous and current months.
Average hourly earnings. Average hourly earnings are on a."gross" basis. They reflect not only changes in basic hourlyand incentive wage rates, but also such variable factors aspremium pay for overtime and late-shift work and changesin output of workers paid on an incentive plan. They alsoreflect shifts in the number of employees between relativelyhigh-paid and low-paid work and changes in workers"earnings in individual establishments. Averages for groupsand divisions further reflect changes in average hourlyearnings for individual industries.
Averages of hourly earnings differ from wage.rates.Earnings are the actual return to the worker for a statedperiod; rates are the amount stipulated for a given unit ofwork or time. The earnings series do not measure the levelof total labor costs on the part of the employer because thefollowing are excluded: Benefits, irregular bonuses,retroactive items, payroll taxes paid by employers, andearnings for those employees not covered under productionworker, construction worker, or nonsupervisory employeedefinitions.
Average hourly earnings, excluding overtime. Averagehourly earnings, excluding overtime-premium pay, arecomputed by dividing the total production worker payrollfor the industry group by the sum of total production workerhours and one-half of total overtime hours. No adjustmentsare made for other premium payment provisions, such asholiday pay, late-shift premiums, and overtime rates otherthan time and one-half.
Average weekly earnings, These estimates are derived'bymultiplying average weekly hours estimates by averagehourly earnings estimates. Therefore, weekly earnings areaffected not only by changes in average hourly earningsbut also-by changes in the length of the workweek. Monthlyvariations in such factors as the proportion of. part-timeworkers, stoppages for varying reasons, labor turnoverduring the survey period, and absenteeism for whichemployees are not paid may cause the average workweek tofluctuate.
Long-term trends of average weekly earnings can beaffected by structural changes in the makeup of theworkforce. For example, persistent long-term increases inthe proportion of part-time workers in retail trade and manyof the services industries have reduced average workweeksin these industries and have affected the average weeklyearnings series.
Real earnings. These earnings are in constant dollars andare calculated from the earnings averages for the currentmonth using a deflator derived from the Consumer PriceIndex for Urban Wage Earners and Clerical Workers (CPI-W). The reference year for these series is 1982.
Indexes of diffusion of employment change. These indexesmeasure the dispersion of change in employment amongindustries over the specified timespan. The overall indexesare calculated from 278 seasonally adjusted employmentseries (4-digit NAICS industries) covering all nonfarmpayroll employment in the private sector. The manufactur-ing diffusion indexes are based on 84 4-digit NAICSindustries.
To derive the indexes, each component industry isassigned a value of 0, 50, or 100 percent, depending onwhether its employment showed a decrease, no change, oran increase, respectively, over the timespan. The averagevalue (mean) is then calculated, and this percent is thediffusion index number.
The reference point for diffusion analysis is 50 percent,the value indicating that the same number of componentindustries had increased as had decreased. Index numbersabove 50 show that more industries had increasingemployment and values below 50 indicate that more haddecreasing employment. The margin between the percentthat increased and the percent that decreased is equal to thedifference between the index and its complement—that is,100 minus the index. For example, an index of 65 percentmeans that 30 percent more industries had increasingemployment than had decreasing employment (65-( 100-65)= 30). However, for dispersion analysis, the distance of theindex number from the 50-percent reference point is the mostsignificant observation.
Although diffusion indexes commonly are interpreted asshowing the percent of components that increased over thetimespan, the index reflects half of the unchangedcomponents as well (This is the effect of assigning a valueof 50 percent to the unchanged components when computingthe index.)
ESTIMATING METHODS
The Current Employment Statistics (CES) or establishmentsurvey estimates of employment are generated through anannual benchmark and monthly sample link procedure. Annualuniverse counts or benchmark levels are generated primarilyfrom administrative records on employees covered byunemployment insurance (UI) tax laws. These annualbenchmarks, established for March of each year, are projected
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forward for each subsequent month based on the trend ofthe sample employment, using an estimation procedurecalled the link relative. Benchmarks and sample linkrelatives are computed for each basic estimating cell andsummed to create aggregate-level employment estimates.
BenchmarksFor the establishment survey, annual benchmarks areconstructed in order to realign the sample-based employmenttotals for March of each year with the Ul-based populationcounts for March. These population counts are much lesstimely than sample-based estimates and are used to providean annual point-in-time census for employment. For nationalseries, only the March sample-based estimates are replacedwith UI counts. For State and metropolitan area series, allavailable months of UI data are used to replace sample-basedestimates. State and area series are based on smaller samplesand are therefore more vulnerable to both sampling andnonsampling errors than national estimates.
Population counts are derived from the administrativefile of employees covered by UI. All employers covered by UIlaws are required to report employment and wage informationto the appropriate State workforce agency four times a year.Approximately 97 percent of private employment within thescope of the establishment survey is covered by UI. Abenchmark for the remaining 3 percent is constructed fromalternate sources, primarily records from the RailroadRetirement Board and County Business Patterns. The fullbenchmark developed for March replaces the March sample-based estimate for each basic cell. The monthly sample-basedestimates for the year preceding and the year following thebenchmark also are than subject to revision.
Monthly estimates for the year preceding the Marchbenchmark are readjusted using a "wedge-back" procedure.The difference between the final benchmark level and thepreviously published March sample estimate is calculatedand spread back across the previous 11 months. The wedgeis linear; eleven-twelfths of the March difference is addedto the February estimate, ten-twelfths to the January estimate,and so on, back to the previous April estimate, whichreceives one-twelfth of the March difference. This assumesthat the total estimation error since the last benchmarkaccumulated at a steady rate throughout the currentbenchmark year.
Estimates for the 7 months following the March bench-mark also are recalculated each year. These post-benchmarkestimates reflect the application of sample-based monthlychanges to new benchmark levels for March and therecomputation of net birth/death model factors for eachmonth.
Following the revision of basic employment estimates, allother derivative series (such as the number of productionworkers and average hourly earnings) also are recalculated.New seasonal adjustment factors are calculated and all dataseries for the previous 5 years are re-seasonally adjusted beforefull publication of all revised data in February of each year.
Changing data ratios for educational services and religiousorganizations. Due to definitional exclusions in thecollection of data for educational services, NAICS 611, anda small sample in religious organizations, NAICS 8131,certain ratios for these series are recalculated with eachbenchmark to allow for the creation of aggregate totals.Production worker and women worker ratios, average hourlyearnings, and average weekly hours are calculated based onthe weighted average of the previous year's professional andtechnical services, education and health services, leisure andhospitality, and other services supersectors annual averages.The March 2004 values were set based on the 2003 annualaverages.
The educational services series uses the nonsupervisoryworker ratio, average hourly earnings, and average weeklyhours calculated from the weighted average. The religiousorganizations series uses the production worker and womenworker ratios, average hourly earnings, and average weeklyhours calculated from the weighted average. In both cases,the ratios, average hourly earnings, and average weeklyhours are held constant through the next benchmark.
Monthly estimationCES uses a matched sample concept and weighted linkrelative estimator to produce employment, hours, andearnings estimates. These methods are described in table 2-A. A matched sample is defined to be all sample membersthat have reported data for the reference month and theprevious month. Excluded from the matched sample is anysample unit that reports that it is out of business. This aspectof the estimation methodology is more fully described inthe section on estimation of business births and deaths below.
Stratification. The sample is stratified into 688 estimationcells for purposes of computing national employment, hours,and earnings estimates. Cells are defined primarily bydetailed industry. In the construction supersector, geographicstratification also is used. The estimation cells can be definedat the 3-, 4-, 5-, and 6-digit NAICS levels.
In addition to the estimation cells mentioned above, thereare 40 independently estimated cells which do not aggregateto the summary cell levels.
Weighted link-relative technique. The estimator for theall-employee series uses the sample trend in the cell to movethe previous level to the current-month estimated level. Amodel-based component is applied to account for the netemployment resulting from business births and deaths notcaptured by the sample.
The basic formula for estimating all employees is:
+ (net birth I death estimate),
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Table 2-A. Summary of methods for computing industry statistics on employment, hours, and earnings estimates
Employment,hours,andearnings
All empSoyees
Production or nonsu-pervisory workers,women employees
Average weekly hours
Average weekly overtimehours
Average hourly earnings
Average weekly earnings
Basic estimating cell(industry, 6-digitpublished level)
All-employee estimate for pre-vious month multiplied by weightedratio of all employees in currentmonth to all employees in previousmonth, for sample establishmentsthat reported for both months plusnet birth/death model estimate.
All-employee estimate for currentmonth multiplied by (1) weightedratio of production or non~supervisory, workers to allemployees in sample estab-lishments for current month, (2)weighted ratio of women employ-ees to all employees.
Production or nonsupervisoryworker hours divided by numberof production or nonsupervisoryworkers.
Production worker overtime hoursdivided by number of productionworkers.
Total production or non-supervisory worker payroll dividedby total production or non-supervisory worker hours.
Product of average weekly hoursand average hourly earnings.
Aggregate industry level(supersector and, where
stratified, industry)
Sum of all-employee estimates forcomponent cells.
Sum of production or nonsuper-visory worker estimates, or esti-mates of women employees, forcomponent cells.
Average, weighted by productionor nonsupervisory worker em-ployment, of the average weeklyhours for component cells.
Average, weighted by productionworker employment, of theaverage weekly overtime hoursfor component cells.
Average, weighted by aggregatehours, of the average hourlyearnings for component cells.
Product of average weekly hoursand average hourly earnings.
Annual average data
Sum of monthly estimates dividedby 12.,
Sum of monthly estimates dividedby 12.
Annual total of aggregate hours(production or nonsupervisoryworker employment multiplied byaverage weekly hours) divided byannual sum of production workeremployment.
Annual total of aggregate overtimehours (production worker employ-ment multiplied by average weeklyovertime hours) divided by annualsum of production worker employ-ment.
Annual total of aggregate payrolls(production or nonsupervisoryworker employment multiplied byweekly hours and hourly earnings)divided by annua! aggregatehours,,
Product of average weekly hoursannual average and averagehourly earnings annual average.
where:i = matched sample unit;
Wt = weight associated with the CES report;aec,t ~ current-month reported all employees;aep,t ~ previous-month reported all employees;
= current-month estimated all employees; and
for the previous month when applying the numericalfactors.
Current-month estimate of production or nonsupervisoryworkers (PW) is defined as:
JJE = previous-month estimated all employees*
Weighted link ami taper technique. The estimator used,for all non-all-employee data types accounts for the over-the-month change in the sampled units3 but also includes a,tapering feature used to keep the estimates close tothe overall sample average over time. The taper is considered,to be a level correction. This estimator uses matched sampledata; it tapers the estimate toward the sample average forthe previous month of the current matched samplebefore applying the current month's change; and itpromotes continuity by heavily favoring the estimate
PW =
where:
PWRATm =
•(PW) xPWRATm
- |^w, .xf le ,
for alliel' andj^J
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Current-month estimate of women workers (W W) is identical to that described for production workers, with the appropriatesubstitution of women worker values for the production worker values in the previous formulas.
Current-month estimate of average weekly hours (AWH) is defined as:
r +2X,
PWr
for all i^Iandj^J
Current-month estimate of average hourly earnings (AHE) is defined as:
PWn
AHEc = a x AHEp + j3 x' /M
Z w / x / ^ H Z w y x ^v * • ̂ w Z
I w / X ^ -\LwJxwhP,j \W i J w ))
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where:
I
I
j
wh*Pj
WH •
= a matched CES report;
= the set of all matched CES reports;
= a matched CES report where the currentmonth is atypical;
= the set of all matched CES reports wherethe current month is atypical (NOTE: Jis a subset of I);
= weight associated with the CES report;
= current-month reported productiooworkers;
= previous-month reported productionworkers;
= current-month reported productiooworkers, atypical record;
= previous-month reported production Dworkers, atypical record;
,-= current-month reported productiooworkers, atypical weekly hours (WE'.)record;
j = previous-month reported production.workers, atypical weekly hours (WH)record;
= current-month estimated production.workers;
= previous-month estimated productionworkers;
= current-month reported weekly hours;
= previous-month reported weekly hours;
= current-month reported weekly hours,atypical record;
= previous-month reported weekly hours,
atypical record;
= current-month reported weekly hours,atypical payroll (PR) record;
= previous-month reported weekly hours,atypical payroll (PR) record;
= current-month estimated weekly hours.;
pJ
WHp4
AWHC
A
AWH
Pra
pr*c,j
pr*P,j
AHECJ
AHEn
= previous-month estimated weekly hours;
= cumrent-month estimated average weeklyhours;
= previous-month estimated averageweekly hours;
- current-month reported weekly payroll;
= previous-month reported weekly payroll;
= current-month reported weekly payroll,atypical record;
= previous-month reported weekly payroll,atypical record;
= current-month estimated average hourlyearnings; and
= previous-month estimated averagehourly earnings.
Current-month estimate of overtime hours (OT) isidentical to that described for weekly hours, with theappropriate substitution of overtime hours values for theweekly hours values in the previous formula.
Business birth and death estimation. In a dynamiceconomy, firms are continually opening and closing. Thesetwo occurrences offset each other to some extent. That is,firms that are bom replace firms that die. CES uses this factto account for a large proportion of the employmentassociated with business births. This is accomplished byexcluding such business death unite from the matched sampledefinition. Effectively, business deaths are not included in.the sample-based link portion of the estimate, and the implicitimputation of their previous month's employment is assumedto offset a portion of the employment associated with births.
There is an operational advantage associated withthis approach as well Most firms will not report thatthey have gone out of business; rather, they simplycease reporting and are excluded from the link, as are allother nonrespondents. As a result, extensive follow-upwith monthly nonrespondents to determine whether acompany is out of business or simply did not respond is notrequired.
Employment associated with business births will notexactly equal that associated with business deaths. Theamount by which it differs varies by month and byindustry. As a result, the residual component of the birth/death offset must be accounted for by using a model-basedapproach.
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With any model-based approach, it is desirable to have 5or more years of history to use in developing the models.Due to the absence of reliable counts of monthly businessbirths and deaths, development of an appropriate birth/deathresidual series assumed the following form:
Birth-death residual = Population - Sample-based estimate+ Error
During the net birth/death modeling process, simulatedmonthly probability estimates over a 5-year period arecreated and compared with population employment levels.Moving from a simulated benchmark, the differencesbetween the series across time represent a cumulative birth/death component. Those residuals are converted to month-to-month differences and used as input series to the modelingprocess.
Models are fit using X-12 ARIMA (Auto-RegressiveIntegrated Moving Average). Outliers, level shifts,and temporary ramps are automatically identified. Sevenmodels are tested, and the model exhibiting the lowestaverage forecast error is selected for each series. Table 2-Bshows the net birth/death model figures for the post-benchmark period of April 2004 to October 2004 bysupersector.
The raking adjustment follows the followingmethodology: Estimates are derived independently for theresidential and nonresidential groups at the 4-digit NAICSlevel for each region. The regional estimates are roundedand summed to the 4-digit NAICS level for both theresidential and nonresidential groups. Within each 4-digitNAICS series, ratios of residential-to-total employment andnonresidential-to-total employment are calculated.
At the 4-digit NAICS level, the sum of the residential/nonresidential series is subtracted from the official industry-region cell structure total to determine the amount that mustbe raked. The total amount that must be raked then ismultiplied by the ratios to determine what percentage of theraked amount should be applied to the residential group andwhat percentage should be applied to the nonresidentialgroup.
Once the residential and nonresidential groups receivetheir proportional amount of raked employment, the twogroups are aggregated again to the 4-digit NAICS level. Atthis point, they are equal to the 4-digit NAICS total derivedfrom the official industry-region cell structure. This rakingprocess also forces additivity at the 3-digit NAICS level.
No estimates of hours and earnings are made for theresidential and nonresidential series.
Residential and nonresidential specialty trade contractorsestimates. Residential and nonresidential specialty tradecontractors estimates are produced as sub-breakouts inspecialty trade contractors (NAICS 238) under the standardNAICS coding structure. Benchmarks for these series aredeveloped from the QCEW data and independent estimatesfor these series are made on a monthly basis and raked tothe estimates produced under the standard structure to ensurethat the sum of the residential specialty trade contractorsand nonresidential specialty trade contractors series isconsistent with the published total for specialty tradecontractors at the 3-digit NAICS level.
THE SAMPLE
DesignThe CES sample is a stratified, simple random sample ofworksites, clustered by UI account number. The UI accountnumber is a major identifier on the BLS longitudinal databaseof employer records, which serves as both the sampling frameand the benchmark source for the CES employmentestimates. The sample strata, or subpopulations, are definedby State, industry, and employment size, yielding a State-based design. The sampling rates for each stratum aredetermined through a method known as optimum allocation,
Table 2-B. Net birth/death estimates for private nonfarm industries, post-benchmark 2004(In thousands)
Year and month
Naturalre-
sourcesand
mining
Con-struction
Manu-facturing
Trade,trans-
portation,and
utilities
Infor-mation
Financialactivities
Profes-sionaland
businessservices
Educa-tion andhealth
services
Leisureandhos-
pitality
Otherservices
Totalmonthlyamount
con-tributed
2004:AprilMayJune ,JulyAugustSeptemberOctoberNovemberDecember
Cumulative Total
011010000
383931-716102-7-7
115
387
-2246
-1022
152620
-251819111319
116
231
-63
-2222
1078
-128485
13
51
662624
-32241441-59
167
3711-2
-1017152998
114
4577844527
-24-25-1216
233
967
-1152-324
21
225204181-8012344559
66
827
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which distributes a fixed number of sample units across aset of strata to minimize the overall variance., or samplingerror, on the primary estimate of interest. The total nonfarmemployment level is the primary estimate of interest, andthe CES sample design gives top priority to measuring it asprecisely as possible, or, in other words, minimizing thestatistical error around the statewide total nonfarraemployment estimates.
Frame and sample selection. The longitudinal data base(LDB) is the universe from which BLS draws the CESsample. The LDB contains data on the approximately 8million U.S. business establishments covered by UI,representing nearly all elements of the U.S. economy. TheQuarterly Census of Employment and Wages (QCEW), orES-202, program collects these data from employers, on aquarterly basis, in cooperation with State workforce agencies;.The LDB contains employment and wage information fromemployers, as well as name, address, and locationinformation. It also contains identification information sue'kas unemployment insurance (UI) account number andreporting unit or worksite number.
The LDB contains records of all employers coveredunder the unemployment insurance tax system. The systemcovers 97 percent of all employers in the 50 States, theDistrict of Columbia, Puerto Rico, and the Virgin Islands.There are a few sections of the economy that are not covereel,including the self-employed, unpaid family workers;,railroads, religious organizations, small agriculturalemployers, and elected officials* Data for employersgenerally are reported at the worksite level. Employers whohave, multiple establishments within a State usually reportdata ifor each individual establishment. The LDB tracksestablishments over time and links them from quarter toquarter.
Permanent random numbers (PRNs) have been assignedto all UI accounts on the sampling frame. As new noilsappear on the frame, random numbers are assigned to thoseunits as well. As records are linked across time, the PRN iscarried forward in the linkage.
The CES sample is stratified by State, industry, and size.Stratification groups population members together for thepurpose of sample allocation and selection. The strata, orgroups, are composed of homogeneous units. With 13industries and 8 size classes, there are 104 total allocationcells per State. The sampling rate for each stratum isdetermined through a method known as optimum allocation.Optimum allocation minimizes variance at a fixed cost orminimizes cost for a fixed variance. Under the CESprobability design, a fixed number of sample units for each.State is distributed across the allocation strata in such a wayas to rnniimize the overall variance, or sampling error, ofthe total State employment level The number of sampleunits in the CES probability sample was fixed according toavailable program resources. The optimum allocation•formula places more sample in cells for which data cost less
to collect, cells that have more units, and cells that have alarger variance.
During the first quarter of each year, a new sample isdrawn from the LDB. Annual sample selection helps keepthe CES survey current with respect to employment frombusiness births and business deaths. In addition, the updateduniverse files provide the most recent information onindustry, size, and metropolitan area designation.
After all out-of-scope records are removed, the samplingframe is sorted into allocation cells. Within each allocationcell, units are sorted by metropolitan statistical area (MSA)and by the size of the MSA, defined as the number of UIaccounts in that MSA. As the sampling rate is uniform acrossthe entire allocation cell, implicit stratification by MSAensures that a proportional number of units are sampled fromeach MSA. Some MSAs may have too few UI accounts inthe allocation cell; these MSAs are collapsed and treated as
. a single MSA. Within each selection cell,.the units are sortedby PRN? and units are selected according-to the specifiedsample selection rate. The number of units selected randomlyfrom each selection cell is equal to the product of the sampleselection rate and the number of eligible units in the cell,plus any carryover from the prior selection cell. The resultis rounded to the nearest whole number. Carryover is definedas the amount that is rounded up or down to the nearestwhole number.
As a result of the cost and workload associated withenrolling new sample units, all units remain in the samplefor a minimum of 2 years. To insure that all units meet thisminimum requirement, BLS has established a "swapping in"procedure. The procedure allows units to be swapped intothe sample that were newly selected during the previoussample year and not reselected as part of the currentprobability sample. The procedure removes a unit withinthe same selection cell and places the newly selected unitfrom the previous year back into the sample.
Selection weights* Once the sample is drawn, sampleselection weights are calculated based on the number of UIaccounts actually selected within each allocation cell. Thesample selection weight is approximately equal to the inverseof the probability of selection, or the inverse of the samplingrate. It is computed as:
Sample selection weight = Nh / x^
where:
Nh = the number ofnoncertaintyUI accounts withinthe allocation cell that are eligible for sampleselection; and
^ = the number of noncertainty UI accountsselected within the allocation cell
Sample Rotation. Sample rotation eases the burden on re-spondents who have been participating in the survey for anextended time period. A 25-percent rotation is utilized in
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Table 2-C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2004
Industry
Total
Natural resources and miningConstruction.:ManufacturingTrade, transportation, and utilities ....InformationFinancial activitiesProfessional and business services .Education and health servicesLeisure and hospitalityOther servicesGovernment
Employmentbenchmarks(thousands)
130,019
5706,551
14,22025,1303,1267,966
15,99516,98812,0775,404
21,992
Sample coverage
Unemploymentinsurance
counts(U!)1
149,144
1,30312,41117,541
3 25,2943,1037,875
19,98116,05914,9026,680
23,995
Number ofestablishments1
386,061
2,36614,54324,579
3109,23514,83356,15540,87136,79537,98811,21937,477
Employees
Number(thousands)2
42,542
158765
4,9216,510
9391,9423,1395,5452,337
44215,844
Percent ofemploymentbenchmarks
33
2812352630242033198
72
f o u n t s reflect active sample reports. Because not ailestablishments report payroll and hours information, hours andearnings estimates are based on a smaller sample than are theemployment estimates.
2 Average employment of reported values for 2004.3 The Surface Transportation Board provides a complete count of
employment for Class I railroads plus Amtrak. A small sample isused to estimate hours and earnings data.
selection cells with weights greater than 2.00. Units thatrotate out of the sample will not be reselected as part of thesample for 3 years. In an effort to keep units from movingback into the sample after a single year, a "swap out" proce-dure has been established. The "swap out" procedureremoves units from the current sample that had been rotatedout of the sample within the last 3 years and replacesthem with other units within the selection cell eligible forsample selection. As a result of sample rotation, approxi-mately 6& percent of the Current Employment Statisticssample for the private industries overlaps from one year tothe next.
Frame maintenance and sample updates. Due to thedynamic economy, there is a constant cycle of business birthsand deaths. A semiannual update is performed during thethird quarter of each year. This update selects units from thepopulation of births and other units not previously eligiblefor selection, and includes them as part of the sample.Updated location, contact, and administrative informationis provided for all establishments that were selected in theannual sample selection.
Subsampling. The primary enrollment of newestablishments takes place in BLS regional office datacollection centers (DCCs). After the sample has been sentto the DCCs, interviewers enroll the selected establishments.While the UI account is the sample unit, interviewers attemptto collect the data for all individual establishments within aUI account.
For multiple-worksite UI accounts, it is sometimesnecessary to subsample employers. This occurs when:
- the company cannot report for all worksites from acentral location;
- the company cannot provide an aggregate report forthe entire UI account;
- there are too many individual worksites to make itpractical to contact each of them.
With subsampling of a smaller number of worksites, bothinterviewer workload and respondent burden are reducedwithout significantly reducing the accuracy of the estimates,but this technique will result in a small increase in variance.In the event that a UI account is subsampled, weightadjustments are made to reflect each of the worksites'probability of selection.
CoverageTable 2-C shows the latest benchmark employment levelsand the approximate proportion of total universe employmentcoverage at the total nonfarm and major industry supersectorlevels. The coverage for individual industries within thesupersectors may vary from the proportions shown.
ReliabilityThe establishment survey, like other sample surveys, issubject to two types of error, sampling and nonsampling error.The magnitude of sampling error, or variance, is directlyrelated to the size of the sample and the percentage ofuniverse coverage achieved by the sample. The establishmentsurvey sample covers over one-third of total universeemployment; this yields a very small variance for the totalnonfarm estimates. Measurements of error associated withsample estimates are provided in tables 2-D through 2-F.
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Table 2-D. Errors of preliminary employment estimates
Industry
Total
Total private ................................
Government....................................Federal.......................................
FederaSs except U.S. PostalService .......
U.S. Postal Service..................State government.......................
State government education ...State government, excludingeducation...............................
Local government.......................Local government education...Local governments excludingeducation
Root-mean-squareerror ofmonthlylevel1
53,100
43,700
28,80014,000
12,3006,000
12,70012,900
5,30021,60022,200
8,500
Mean percentrevision
Actual
0
0
0.1
.2-.1
00
000
0
Ab-solute
0
0
."!
.3
.4
.3SI&
.1111
.1!
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.
NOTE: Errors are based on differences from January 2000 throughOctober 2004.
Benchmark revision as a measure of survey error. Thesum of sampling and nonsampling error can be consideredtotal survey error. Unlike most sample surveys which publishsampling error as their only measure of error, the CES canderive'an annual approximation of total error, on a laggedbasis, because of the availability of the independently deriveduniverse data/ While the benchmark error is used as ameasure of total error for the CES survey estimate, it actuallyrepresents the difference between two independent estimatesderived from separate survey processes (specifically, the CESsample process and the UI administrative process) and timsreflects the errors present in each program. Historically, thebenchmark revision has been very small for total nonfaimemployment Over the past decade, percentage benchmarkerror has averaged 0.2 percent, with an absolute range fromless than 0.05 percent to 0,5 percent.
Revisions between preliminary and final data. Firstpreliminary estimates of employment, hours, and earnings,based on less than the.total sample, are publishedimmediately following the reference month. Final revisedsample-based estimates are published 2 months later whennearly all the reports in the sample have been received. Table2-D presents the root-mean-square error, the mean percent,and the mean absolute percent revision that may be expectedbetween the preliminary and final employment estimates,
Revisions of preliminary hours and earnings estimatesare normally not greater than 0.1 hour for weekly hours and1 cent for hourly earnings, at the total private nonfarm level,
and may be slightly larger for the more detailed industrygroupings.
Variance estimation. The estimation of sample variance forthe CES survey is accomplished through use of the methodof balanced half samples (BHS). This replication techniqueuses half samples of the original sample and calculatesestimates using those subsamples. The sample variance iscalculated by measuring the variability of the subsampleestimates. The weighted link estimator is used to calcu-late both estimates and variances. The sample units in eachcell—where a cell is based on State, industry, and sizeclassification—are divided into two random groups. Thebasic BHS method is applied to both groups. The subdivisionof the cells is done systematically, in the same order as theinitial sample selection. Weights for units in the half sampleare multiplied by a factor of 1 + y where weights for unitsnot in the half sample are multiplied by a factor of 1 - y.Estimates from these subgroups are calculated using theestimation formula described previously.
The formula used to calculate CES variances is as follows:
where:
&a vyia ,^v a . . . . . . ; i g t h e h a l f L s a m p l
k = number of half-samples; and
0 = original full-sample estimates.
Appropriate uses of sampling variances. Variance statisticsare useful for comparison purposes, but they do have somelimitations. Variances reflect the error component of theestimates that is due to surveying only a subset of thepopulation, rather than conducting a complete count of theentire population. However, they do not reflect nonsamplingerror, such as response errors, and bias due to noisresponse.The overall performance of the CES employment estimatesis best measured in terms of the benchmark revisions. Thevariances of the over-the-month change estimates are veryuseful in determining when changes are significant at somelevel of confidence. Variance statistics for first-closingestimates are provided in Table 2-F. In addition, variancesfor second- and third-closing estimates are available uponrequest.
Sampling errors. The sampling errors shown for totalnonfarm and for total private industries have been calculatedfor estimates that follow the benchmark employment revisionby a period of 16 to 20 months. The errors are presented asmedian values of the observed error estimates. Theseestimates have been estimated using the method of balancedhalf samples with the probability sample data and sampleweights assigned at the time of sample selection*
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Illustration of the use of table 2-E. Table 2-E provides areference for relative standard errors of three major seriesdeveloped from the CES—estimates of the number of allemployees (AE), of average weekly hours (AWH), and ofaverage hourly earnings (AHE) within the same industry.
The standard errors of differences between estimates intwo non-overlapping industries are calculated as:
S difference = Js? + s?
since the two estimates are independent.
The errors are presented as relative standard errors(standard error divided by the estimate and expressed as apercent). Multiplying the relative standard error by itsestimated value gives the estimate of the standard error.
Suppose that the level of all employees for financialactivities in a given month is estimated at 7,819,000. Theapproximate relative standard error of this estimate (0.4percent) is provided in table 2-E. A 90-percent confidenceinterval would then be the interval:
7,819,000 +/- (1.645*.004*7,819,000)= 7,819,000+/-51,449= 7,767,551 to 7,870,449
Illustration of the use of table 2-F. Table 2-F provides areference for the standard errors of 1-, 3-, and 12-monthchanges in AE, AWH, and AHE. The errors are presented asstandard errors of the changes.
Suppose that the over-the-month change in AHE fromJanuary to February in coal mining is $0.11. The standarderror for a 1-month change for coal mining from the table is$0.22. The interval estimate of the over-the-month changein AHE that will include the true over-the-month changewith 90-percent confidence is calculated as:
$0.11+/-(1.645* $0.22)= $0.11+/-$0.36= -$0.25 to $0.47
The true value of the over-the-month change is in theinterval -$0.25 to $0.47. Because this interval includes $0.00(no change), the change of $0.11 shown is not significant atthe 90-percent confidence level. Alternatively, the estimatedchange of $0.11 does not exceed $0.36 (1.645 * $0.22);therefore, one could conclude from these data that the changeis not significant at the 90-percent confidence level.
STATISTICS FOR STATES, AREAS, ANDDIVISIONS
(Tables B-7, B-14, B-15, B-19, and B-20)
As explained earlier, State agencies in cooperation with BLScollect and prepare State, area, and division employment,hours, and earnings data. These statistics are based on the
same establishment reports used by BLS. However, BLSuses the full CES sample to produce monthly nationalemployment estimates, while each State agency uses itsportion of the sample to independently develop a Stateemployment estimate.
The CES area statistics relate to metropolitan areas anddivisions. Definitions for all areas are published each yearin the issue of Employment and Earnings that contains Stateand area annual averages (usually the May issue). Changesin definitions are noted as they occur.
Estimates for States and areas are produced using twomethods. The majority of State and area estimates areproduced using direct sample-based estimation. However,published area and industry combinations (domains) that donot have a large enough sample to support estimation usingonly sample responses are estimated by using a small-domainmodel.
Small-domain model The small-domain model consists ofa weighted sum of three different relative over-the-monthchange estimates, i j , Z2 , and Z,3 . These three relativeover-the-month change estimates are then weighted basedon the variance of each of the three estimates. The larger thevariance of each L^ estimate relative to the other Lk
variances, the smaller the weight. The resulting estimate ofcurrent-month employment Yiat is defined as:
Yiat ^ +Wiat,3Liat,?>fia,t-\
where:
Yiat
jat |
= current-month t employment estimate for domainia defined by the intersection of industry i andarea a;
= current-month relative over-the-month changeestimate based on available sample responsesfor domain ia;
= current-month weight assigned to Liati basedon the variances of Liat^, Liat2, and Liat^(The weights Wiat2 and W^^ are definedsimilarly.);
- current-month relative over-the-month changeestimate based on time series forecasts usinghistorical universe employment counts fordomain ia. (These historical universeemployment counts are available from January1990 to 12 months prior to the current montht);
Liatt$ = current-month relative over-the-month changeestimate based on a synthetic estimate of therelative change that uses all sample responsesin the State that includes area a, for industry i;and
Yiat_i ~previous-month employment estimate fordomain ia from the small-domain model.
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It is possible that for a given industry i and area a, one oreven two of the inputs Liatk to the model are assignedweights of 0. The reasons for assigning a weight of 0 to amodel input are due to concerns regarding the stability ofthe inputs. For example, if Liati or Liat<$ has five or fewerresponses, then it is assigned a weight of 0. If Liat2 exhibitsan unstable variance or has an extremely poor model fit,then it may also be assigned a weight of 0. In these cases,the small-domain model estimate may be based on only oneor two of the three described inputs.
Sampling errors are not applicable to the estimates made:;using the small-domain models. The measure available tojudge the reliability of these modeled estimates is theirperformance over past time periods compared with theuniverse values for those time periods. These measures areuseful; however, it is not certain that the past performanceof the modeled estimates accurately reflects their currentperformance.
It should also be noted that extremely small estimates of2,000 employees or less are potentially subject to largepercentage revisions that are caused by occurrences such as;the relocation of one or two businesses or a change in theactivities of one or two businesses. These are noneccmomic
classification changes that relate to the activity or locationof businesses and will be present for sample-based estimatesas well as the model-based estimates.
Error measures for State and area estimates are availableon the BLS Web site at http://www.bls.gov/sae/790stderr.htm.
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 andnonsampling errors thanthe national series, summing them cumulates individual Statelevel errors and can cause distortion at an aggregate level.This has been a particular problem at turning points in theU.S. economy, when the majority of the individual State er-rors tend to be in the same direction. Due to these statisticallimitations, the Bureau does not compile or publish a"sum-of-States" employment series. Additionally, BLScautions users that such a series is subject to a relatively largeand volatile error structure, particularly at turning points.
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Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings in selected industries1
(Percent)
IndustryRelative standard error
All employees Average weekly hours Average hourly earnings
Total nonfarm
Total private
Goods-producing
Natural resources and miningLogging
MiningOil and gas extractionMining, except oil and gas
Coal miningSupport activities for mining
Construction ;
Construction of buildingsResidential buildingNonresidential building
Heavy and civil engineering constructionSpecialty trade contractors
Residential specialty trade contractorsNonresidential specialty trade contractors....
Manufacturing
Durable goodsWood productsNonmetallic mineral productsPrimary metalsFabricated metal productsMachineryComputer and electronic products
Computer and peripheral equipmentCommunications equipmentSemiconductors and electronic components
Electronic instrumentsElectrical equipment and appliancesTransportation equipment
Motor vehicles and partsFurniture and related productsMiscellaneous manufacturing
Nondurable goodsFood manufacturingBeverages and tobacco productsTextile millsTextile product millsApparelLeather and allied productsPaper and paper productsPrinting and related support activitiesPetroleum and coal productsChemicalsPlastics and rubber products
Service-providing
Private service-providing
Trade, transportation, and utilities
Wholesale tradeDurable goodsNondurable goodsElectronic markets and agents and brokers
See footnotes at end of table.
0.1
0.1
0.3
1.34.61.33.01.62.42.7
0.51.21.71.91.90.71.21.4
0.3
0.31.11.10.80.70.70.82.22.71.01.21.21.01.41.11.0
0.40.81.93.44.92.63.31.31.02.21.00.8
0.2
0.2
0.3
0.60.71.21.8
0.2
0.4
1.43.31.64.01.32.33.1
1.40.81.11.10.82.1
0.2
0.1
0.3
0.2
0.3
1.53.91.64.71.52.63.8
0.40.91.31,01.00.6
0.4
0.30.71.20.90.50.70.82.41.91.61.51.10.80.91.11.1
0.40.92.91.21.81.72.41.31.02.31.21.0
0.51.21.20.90.71.22.5
10.05.92.12.01.11.21.50.81.1
0.50.75.50.91.81.44.41.11.03.01.61.0
0.3
0.4
0.50.61.11.7
1.01.11.33.6
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Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings inselected Industries1—-Continued
(Percent)
IndustryRelative standard error
All employees Average weekly hours Average hourly earnings
Retail tradeMotor vehicle and parts dealers ................
Automobile dealersFurniture and home furnishings stores................Electronics and appliance stores ........................Building material and garden supply stores ........Food and beverage stores........................Health and personal care stores .........................Gasoline stations .....Clothing and clothing accessories stores....Sporting goods, hobby, book, and music stores...General merchandise stores ..................... ....
Department stores............................................Miscellaneous store retailers................................Nonstore retailers ......................... ......... ...,
Transportation and warehousing.Air transportationRail transportationWater transportationTruck transportationTransit and ground passenger transportation.......Pipeline transportation .........................................Scenic and sightseeing transportation ...Support activities for transportationCouriers and messengers ....................................Warehousing and storage ....................................
Utilities...........................................................
Information ..................................................................Publishing industries, except Internet ....Motion picture and sound recording industries.....Broadcasting, except Internet...............................Internet publishing and broadcastingTelecommunications.............................................ISPs, search portals, and data processing...........Other information services ...................................
Financial activities.......................................................Finance and insurance ............................................
Monetary authorities - central bankCredit intermediation and related activities ..........
Depository credit intermediation.......................Commercial banking .....................................
Securities, commodity contracts, investments......insurance carriers and related activities...............Funds, trusts, and other financial vehicles ...........
Real estate and rental and leasingReal estate......................................Rental and leasing services .................................Lessors of nonfinancial intangible assets.............
Professional and business servicesProfessional and technical services
Legal services ..................................................Accounting and bookkeeping servicesArchitectural and engineering servicesComputer systems design and related servicesManagement and technical consulting services
Management of companies and enterprises
See footnotes at end of table.
0.40.60.61.62.11.00.81.31.01.42.11.81.91.52.3
0.61.51.56.01.02.64.2
10.91.62.11.5
0.7
0.91.04.21.05.01.61.93.1
0.40.42.20.80.81.01.50.54.40.80.91.94.8
0.50.50.72.01.01.82.01.1
0.40.91.42.42.61.40.61.41.62.12.11.01.71.41.6
1.02.9(3)
4.01.42.43.9
11.21.85.42.0
1.0
1.11.48.31.35.61.21.57.9
0.40.53.60.80.91.31.30.93.30.81.01.93.3
0.40.40.61.70.61.01.41.4
0.41.41.72.73.41.31.22.21.22.11.92.21.71.41.9
1.35.9(3)
5.71.51.73.36.52.04.32.2
1.5
1.54.14.13.87.21.54.07.7
1.01.23.72.72.63.53.41.16.71.11.41.78.6
0.50.82.01.71.12.11.92.0
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Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings inselected industries1—Continued
(Percent)
IndustryRelative standard error
All employees Average weekly hours Average hourly earnings
Administrative and waste servicesAdministrative and support services
Employment servicesTemporary help services
Business support servicesServices to buildings and dwellings
Waste management and remediation services
Education and health servicesEducational servicesHealth care and social assistanceHealthcare
Ambulatory health care servicesOffices of physiciansOutpatient care centersHome health care services
HospitalsNursing and residential care facilities
Nursing care facilitiesSocial assistance ....
Child day care services
Leisure and hospitalityArts, entertainment, and recreation
Performing arts and spectator sportsMuseums, historical sites, zoos, and parks ..Amusements, gambling, and recreation
Accommodations and food servicesAccommodationsFood services and drinking places
Other servicesRepair and maintenancePersonal and laundry servicesMembership associations and organizations
0.90.91.71.61.91.22.2
0.31.10.20.20.40.51.51.60.30.50.40.81.3
0.41.93.93.02.60.41.00.4
1.40.91.02.8
0.50.50.91.21.31.21.7
0.31.30.30.40.50.62.11.71.00.50.60.91.6
0.41.43.42.61.60.50.90.5
1.30.81.02.7
1.01.12.01.71.80.9
ao0.41.20.50.51.22.51.33.10.70.40.61.64.4
0.72.24.82.62.40.62.00.5
2.11.01.43.6
1 Estimates of variance are not available for government sectorsdue to lack of historical probability-based estimates.
2 Hours and earnings estimates are not published.3 Estimates are not available as a result of confidentiality standards.
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Table 2-F. Standard errors for change In levels of f i rst-closing estimates of Employment, hows, and earnings In selected Indust r ies 1
industry
Total nonfarm .............................
Total private ...................................
Goods-producing...............................
Natural resources and mining .........................
Logging.................................................Mining ..........................................................
Oil and gas extraction...............................Mining, except oil and gas........................
CoaS mining...........................................Support activities for mining .....................
Construction ....................................................Construction of buildings..........................
Residential building ..............................Nonressdentiaf building .........................
Heavy and civil engineering construction.Specialty trade contractors.......................
Residential specialty trade contractors .Nonressdentia! specialty tradecontractors..........................................
Manufacturing ..................................................
Durable goods .............................................Wood products .........................................Nonmetallsc mineral products...................Primary metals..'.......................................Fabricated metal products ........................Machinery ................................................Computer and electronic products ...........
Computer and peripheral equipment....Communications equipment .................Semiconductors and electroniccomponents ........................................
Electronic instruments ..........................ESectricaS equipment and appliances.Transportation equipment .........................Motor vehicles and parts ..........................Furniture and related products .................Miscellaneous manufacturing...................
Nondurable goods .......................................Food manufacturing .................................Beverages and tobacco products .............Textile mills ...............................................Textile product mills..................................Apparel .....................................................Leather and allied products......................Paper and paper products........................Printing and related support activities ......Petroleum and coal products....................Chemicals ................................................Plastics and rubber products ....................
Service-providing ..............................
Private service-providing ......................
See footnotes at end of table.
Standard error1-month change
Allem-
ployees
62,800
55,200
18,900
3,400
9003,1001,0001,100
8002,600
14,6005,9004s4004s3004,800
12,5008,000
8$500
11,400
8s6002,4002s6001,3003,9002,500282QQ
700800
1s2001,2001s2005,1004,6002,1002s0QQ
7s600581002,300
9001§6002s600
4001,4002,400
9002s00025100
59,700
51,600
Averageweeklyhos is
O.V
O.Oi4
0.4i1.010.41.1.,'J.0.:*lo.n0.J3I
o.i:0.&0.3;1
Q.Lfi0.3:'0.N
12 \
0.0! 1
0-OliO.'KI
o.:iio.ie io.:(i0.2V0.2«'
• ®JU
' 0.X
QMV0.J.10.ifi0 1 901 '-J
0.110.i4O.f70.2£0AB0.41O i l0.3?0.23o.ei0.270.22
I2)
0.CI5
Averagehourly
earnings
(2)
0.02
0.02
0.090.200.100.200.130.230.18
0.050.080.110.11
0.100.06
(2)
(2)
0.02
0.030.060.100.100.040.060.100.240.22
0.130.130.070.090.110.060.07
0.030.050.210.060.090.070.140.120.070.250.080.05
(2)
0.02
Standard error3-month change
Allem-
ployees
100,900
90,300
30,000
59OOO1,7004,4002,0002,0001,1003,200
23,3009,6007,0007,0008,600
21,00011,900
13,800
19,300
14,5003,4003,7002,3006,0004,4004,4001,4001,500
2,3002,5003,0008,3007,5003,7003,800
12,5007,6002,7001,9003,9004,200
8002,4003,7001,5003,2003,700
98,000
87,000
Averageweeklyhours
0.04
0.09
0.571.330.631.920.510.961.17
0.210.290.420.380.390.28
(2)
(2)
0.08
0.100.280.480.320.200.270.240.620.53
0.440.370.400.340.480.350.31
0.140.310.960.380.680.530.820.420.301.060.340,32
(2)
0.04
Averagehourly
earnings
(2)
0.02
0.04
0.180.380.190.490.180.310.36
0.080.110.140.160.150.12
(2)
(2)
0.03
0.050.090.130.130.070.080.170.610.32
0.210.200.110.170.220.080.09
0.050.070.450.090.140.090.230.140.100.370.150.07
(2)
0.03
Standard error12-month change
Allem-
ployees
207,400
172,000
52,400
8,2002,9007,3004,3003,1001,9004,800
37,60018,60012,80012,60012s30029,20019,100
27,500
33,500
24,3005,7004,8003,300
10,2007,8008,3003,5003,300
4s1004,4005?200
15,20014,5006,5006,600
22,40012,0003,9004,4009s2007,4001,2005,8005,7002,1009,1007,300
196,700
158,900
Averageweeklyhours
(2)
0.06
0.18
0.721.460.791.830.681.211.66
0.500.390.500.510.420.76
(2)
(2)
0.1.1
0.130.330.640.540.260.320.411.130.86
0.680.570.430.370.440.560.46
0.200.531.060.511.140.680.990.580.431.470.560.52
(2)
0.06
Averagehourly
earnings
(2)
0.04
0.06
0.310.570.360.850.320.510.67
0.080.160.210.240.190.14
(2)
(2)
0.07
0.090.160.240.200.110.180.361.720.78
0.320.390.180.330.420.110.15
0.100.111.090.17Q8240.150.420.210.170.550.430.13
(2)
0.04
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Table 2-F. Standard errors for change in levels of first-closing estimates of employment, hours, and earnings in selectedindustries1—Continued
Industry
Standard error1-month change
Allem-
ployees
21,900
9,1005,5005,8002,900
18,4003,6002,7002,6003,1004,0006,1004,5003,6006,700
4,2009,5007,9003,9003,000
10,0002,0001,3001,1004,700
3,700300
1,2003,5003,3003,400
1,300
6,2002,100
5,0001,500
3003,000
2,100500
10,8007,700
100
5,4002,6002,300
2,800
Averageweeklyhours
0.05
0.110.130.200.30
0.070.160.210.300.370.240.110.270.230.24
0.330.200.280.230.33
0.180.50
(3)0.930.29
0.510.571.550.330.490.43
0.23
0.140.20
0.690.240.710.29
0.340.57
0.090.100.39
0.150.180.24
0.33
Averagehourly
earnings
0.03
0.070.100.090.24
0.030.130.150.180.180.080.030.110.050.08
0.080.050.060.070.11
0.060.20
(3)0.390.08
0.120.260.290.140.190.15
0.12
0.100.20
0.430.180.670.16
0.260.25
0.070.100.11
0.140.070.09
0.24
Standard error3-month change
Allem-
ployees
40,800
14,9008,500
10,5004,700
33,1005,5004,0004,6005,6007,800
11,9005,7004,600
10,400
7,50015,40015,1006,1005,900
13,8003,0002,1002,0006,900
4,400400
1,9004,7004,6005,900
1,700
12,5003,700
8,8001,900
7005,600
3,700900
15,50011,900
500
8,8004,1003,400
4,700
Averageweeklyhours
0.07
0.150.190.280.43
0.100.230.300.370.470.360.180.360.300.34
0.420.260.410.300.51
0.220.65
(3)1.510.37
0.651.102.740.500.650.63
0.29
0.200.31
0.930.281.200.42
0.441.19
0.110.121.02
0.200.220.28
0.38
Averagehourly
earnings
0.04
0.110.150.120.45
0.040.180.250.210.260.110.050.160.070.14
0.140.080.110.110.19
0.100.52
(3)0.660.12
0.170.450.710.250.320.21
0.28
0.170.53
0.480.321.270.24
0.430.54
0.100.130.58
0.230.180.25
0.39
Standard error12-month change
Allem-
ployees
69,200
30,40018,50021,700
9,700
61,4009,2006,3008,3009,100
11,00020,90010,6007,500
16,500
11,60047,00027,70010,5009,700
23,2006,7002,9003,200
11,200
10,3001,2003,5007,600
10,4008,700
3,200
23,4007,000
17,0003,0001,400
10,100
6,8001,300
30,10022,800
300
20,50011,40010,000
8,800
Averageweeklyhours
0.12
0.240.260.440.68
0.140.330.470.640.810.560.240.470.510.73
0.590.280.470.460.64
0.411.25
(3)1.930.68
0.851.323.700.681.210.77
0.44
0.380.52
2.090.502.140.60
0.541.96
0.190.231.36
0.320.410.55
0.53
Averagehourly
earnings
0.07
0.180.240.210.80
0.060.230.290.360.650.170.100.250.110.23
0.190.220.170.180.30
0.201.17
(3)0.980.22
0.270.831.090.370.600.41
0.40
0.391.06
1.050.851.860.36
0.861.10
0.180.221.05
0.420.470.59
0.78
Trade, transportation, and utilities
Wholesale tradeDurable goodsNondurable goodsElectronic markets and agents and brokers
Retail tradeMotor vehicle and parts dealers ...
Automobile dealersFurniture and home furnishings storesElectronics and appliance storesBuilding material and garden supply storesFood and beverage storesHealth and personal care storesGasoline stationsClothing and clothing accessories stores..Sporting goods, hobby, book, andmusic stores
General merchandise storesDepartment stores
Miscellaneous store retailersNonstore retailers
Transportation and warehousingAir transportationRail transportationWater transportationTruck transportationTransit and ground passengertransportation
Pipeline transportationScenic and sightseeing transportationSupport activities for transportationCouriers and messengersWarehousing and storage
Utilities
InformationPublishing industries, except InternetMotion picture and sound recordingindustries
Broadcasting, except InternetInternet publishing and broadcastingTelecommunicationsISPs, search portals, and dataprocessing
Other information services
Financial activitiesFinance and insurance
Monetary authorities • central bankCredit intermediation and relatedactivities
Depository credit intermediationCommercial banking
Securities, commodity contracts,investments
See footnotes at end of table.
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Table 2-F. Standard errors for change in levels ©f first-closing estimates of employment, hours, and earnings in selectedindustries1—Continued
industry
Standard error1 -month change
Allem-
ployees
Averageweeklyhours
•Averagehourly
earnings
Standard error3-month change
Allem-
ployees
Averageweeklyhours
Averagehourly
earnings
Standard error12-month change
AISem-
ployees
Averageweeklyhours
Averagehourly
earnings
Financial activities—ContinuedInsurance carriers and related activities ....Funds, trusts, and other financialvehicles ...................................................
Real estate and rental and leasing ...............Real estate................................................Rental and leasing services ......................Lessors-of nonfinaocial intangible assets ..
Professional and business services ................Professional and technical services..............
Legal services .......................................Accounting and bookkeeping services ..Architectural and engineering services..Computer systems design and
related services....................................Management and technical consultingservices ...............................................
y anagement of companies and enterprises.Administrative and waste services................
Administrative and support servicesEmployment services.............................
Temporary help services ....................Business support services.....................Services to buildings and dwellings.......
Waste management and remediationservices.....................................................
Education and health services ..........................Educational services.....................................Health care and social assistance .................
Health care................................................Ambulatory health care services ...............
Offices of physicians ..............................Outpatient care centers .........................Home health care services ....................
Hospitals ...................................................Nursing.'and residential care facilities........
Nursing care facilities.............................Social assistance ......................................
Child day care services..........................
Leisure and hospitality .....................................Arts, enter ta inment and recreation
Performing arts and spectator sports ........Museums, historical sites, zoos,
and parks ................................................Amusements, gambling, and recreation ....
Accommodations and food services ........,,„„Accommodations.......................................Food services and drinking places ............
Other services ..................................................Repair and maintenance...........................Personal and laundry services ..................Membership associations andorganizations ...........................................
3s600
8006,8005s1004sG0Q
800
26s50011,6002s7007,10088400
4,600
8,4004,700
23,00022?50021,00016s2004,4006,700
3s000
17930013380011,1008,5007s2003s5002s0003?9008s3003s8002B4005s5003,400
17,10010990059400
1s00089100
14,6006,600
13,000
20s2003,9004s100
19,200
0.17
0.470.160.190.380.06
0.1 '70."Q0. '4o.; 7
0." 8
0.J 2
0.J 50.' SChi 2(LI 2O.J'3o.:'60 / 8Q.i'2
0.- I
0.O5O.< 4CU5CU 60.100 . ' 20.- 90. f '20/i80/00.11C. i 4
0.080.19Gi2
0.480.200,070.200.07
0.150.170.21
0.20
0.10
0.290.060.070.110.38
0.040.060.110.130.09
0.18
0.170.150.060.060.100.080.110.06
0.15
0.020.030.030.030.050.080.110.120.060.030.030.040.06
0.020.080.28
0.130.070.020.060.02
0.120.070.08
0.24
6,500
1s60011s2007,80079400
800
49s00022,000
3880017,7005s000
7S40O
6?5009SOO0
44s10043s30039s80024s900
7,70011,100
4,000
24,10016,70014,70012,20099500593003,000592004,8005,8003s6008s6005,700
28,20020,700
8s200
1,80019530027s10014s300213OOO
41,5006s3006,700
418000
0.16
0.690.240.250.630.85
0.100.120.160.580.20
0.30
0.360.370.150.150.290.260.350.28
0.59
0.070.12"0.080.090.130.16
• 0.430.870.160.120.150.200.38
0.090.310.69
0.650.880.090.220.10
0.200.230.28
0.30
0.13
0.930.110.120.190.57
0.070.120.200=260.20
0.29
0.240.200.080.080.150.160.160.07
0.23
0.040.060.050.050.130,250.200.210.070.030.040.080.16
0.030.160.57
0.210.160.030.080.03
0.110.100.12
0.24
10,900
3,20017,30012,00012s20019400
82,80028,600
7,10013,30011,000
14,700
13,80015s20085,10088,40068,70043,20014,20019,900
6,800
45,20031s60028,20023,00018,6009?20069100
10s60010,90011,5006s500
16,70010,400
52,60035,90014,000
32s20042s90017,30035,100
79,8009,400
11,700
76,000
0.33
1.240.330.380.741.03
0.130.160.220.590.25
0.37
0.530.510.190.190.380.410.510.40
0.87
0.150.550.120.150.180.240.730.520.340.160.230.310.47
0.110,461.02
0.780.510.110.250.13
0.450.310.37
0.80
0.25
2.220.170.220.251.46
0.100.170.440.310.26
0.56
0.450.350.150.160.290.210.260.12
0.45
0.090.160.100.120.310.610.280.460.130.050.080.190.41
0.060.280.87
0.320.260.050.160.05
0.300.180.20
0.59
1 Estimates of variance are not available for government sectorsdue to Sack of historical probability-based estimates.
2 Hours and earnings estimates are not published.3 Estimates are not available as a result of confidentiality standards.
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Region, State, Area, and Division Labor Force Data("C" tables)
FEDERAL-STATE COOPERATIVE PROGRAM
Labor force and unemployment estimates for States,labor market areas (LMAs), and other areas covered underFederal assistance programs are developed by State WorkforceAgencies under a Federal-State cooperative program. Thelocal unemployment estimates, which derive from standard-ized procedures developed by BLS, are the basis for deter-mining eligibility of an area for benefits under Federal pro-grams such as the Workforce Investment Act.
Annual average data for the States and 375 areas shown intable C-3 are published in Employment and Earnings (usu-ally the May issue). For regions, States, selected metropoli-tan areas, and central cities, annual average data classified byselected demographic, social, and economic characteristicsare published in the BLS bulletin, Geographic Profile ofEmployment and Unemployment.
Labor force estimates for counties, cities, and other smallareas have been prepared for administration of various Fed-eral economic assistance programs and are available on theInternet at http://www.bls.gov/lau or by subscription by call-ing 202-691-6392.
ESTIMATING METHODS
Monthly labor force, employment, and unemployment esti-mates are prepared for the 50 States, the District ofColumbia, Puerto Rico, and over 7,000 areas, including nearly2,400 LMAs, all counties, and cities with a population of 25,000or more. Regional aggregations are derived by summing thedivision estimates. The estimation methods are describedbelow for States (and the District of Columbia) and for sub-state areas. At the sub-LMA (county and city) level,estimates are prepared using disaggregation techniquesbased on decennial and annual population estimates andcurrent unemployment insurance data. A more detaileddescription of the estimation procedure is contained inthe BLS document, Manual for Developing Local AreaUnemployment Statistics.
Estimates for StatesFor all States and the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, New York City,and the respective balances of State, models based on a"signal-plus-noise" approach are used to developemployment and unemployment estimates. The model of thesignal is a time series model of the true labor force whichconsists of three components: A variable coefficientregression, a flexible trend, and a flexible seasonal component.The regression techniques are based on historical and
current relationships found within each State's economy asreflected in the different sources of data that are available foreach State—the Current Population Survey (CPS), the CurrentEmployment Statistics (CES) survey, and the 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 labor forcecharacteristics.
Seasonal adjustment occurs within the model structurethrough the removal of the seasonal component. The modelsalso produce reliability measures on the adjusted andunadjusted series, and on over-the-month change.
The Redesign bivariate models incorporate a majorchange in the approach to benchmarking and thebenchmarking process. Rather than continue with an annualaverage State benchmark applied retrospectively thatreintroduces sampling error to the historical monthlyestimates, the Redesign approach uses a reliable real-timemonthly national benchmark for controlling current Statemodel estimates of employment and unemployment. In thisprocess, benchmarking is part of the monthly State modelestimation process.
Under real-time benchmarking, a tiered approach toestimation is used. Model-based estimates are developedfor the 9 Census divisions that geographically exhaust theNation using univariate signal-plus-noise models. Thedivision models are similar to the State models, but do notuse unemployment insurance claims or nonfarm payrollemployment as variables. The division estimates arebenchmarked to the national levels of employment andunemployment on a monthly basis. The benchmarked divisionmodel estimate is then used as the benchmark for the Stateswithin the division. The distribution of the monthly benchmarkadjustment to the States is based on each State's monthlymodel estimate. In this manner, the monthly State employmentand unemployment estimates will add to the national levels.
Estimates for substate labor market areasAs noted, monthly labor force estimates for two largesubstate areas—New York City and the Los Angeles-LongBeach-Glendale, CA metropolitan division and the respectivebalances of New York and California—are developed usingbivariate signal-plus-noise models. Signal-plus-noise modelsalso have been developed for six additional substate areasand their State balances. The areas are: the Chicago-Naperville-Joliet, IL metropolitan division; the Cleveland-
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Elyria-Mentor, OH metropolitan area; the Detroit-Warren-Livonia, MI metropolitan area; the Miami-Miami Beach-Kendall, FL metropolitan division; the New Orleans-Metairie-Kenner, LA metropolitan area; and the Seattle-Bellewe-Everett, WAmetropolitan division. As with the Redesign Stateand division models, these area models are based on theclassical decomposition of a time series into trend, seasonal,and irregular components. A component to identify andremove the CPS sampling error also is included. Area models,like the division models, are univariate in design in that croilythe historical relationship of the inputs is considered—UIclaims and CES inputs are not used each month in theestimation process. Area and balance of State models arecontrolled directly to the State totals, which are themselvescontrolled to the national CPS via the Census division models.Estimates for the nearly 2,400 remaining LMAs are preparedthrough indirect estimation techniques, described below.
The LAUS Handbook method is an effort to estimateunemployment for an area, using available informationwithout the expense of expanding a labor force survey likethe CPS. The Handbook presents a series of estimating"building blocks," in which categories of unemployedworkers are classified by their previous status. Two broadcategories of unemployed persons are: (1) Those who werelast employed in industries covered by State UI laws, and (2)those who either entered the labor force for the first time: orreentered after a period of separation. Handbook inputs we reupdated using the Census 2000 results and otherimprovements to Handbook estimation were implemented withJanuary 2005 estimates.
Employment The total employment estimate is based ondata from several sources. The primary source for mostmetropolitan areas (MAs) is the Federal-State CES survey.The CES is designed to produce estimates of the total numberof employees on payrolls in nonfarm industries for theparticular area. In small labor market areas and the remainderof the MAs, the establishment employment data come fromthe Quarterly Census of Employment and Wages (ES-202Report).
These "place-of-work" employment estimates must beadjusted to a place»of-residence basis, as in the CPS.Estimated adjustment factors have been developed usingemployment relationships which existed at the time of themost recent decennial census. The adjustment approachimplemented in January 2005 is more dynamic than theprevious one and incorporates commuting to nearby labormarket areas. These factors are applied to the place-of-workemployment estimates for the current period to obtainadjusted employment estimates, to which are addedsynthetically developed estimates for employment notrepresented in the establishment series—agricultural workers,nonfaim self-employed and unpaid family workers, and privatehousehold workers.
Unemployment. The estimate of unemployment is an
aggregate of the estimates for each of the two building-blockcategories. The "covered" category further consists of twounemployed worker groups: (1) Those who are currentlyreceiving UI benefits and (2) those who have exhausted theirbenefits. Only the number of those currently collectingbenefits is obtained directly from an actual count of UIclaimants for the reference week. The estimate of personswho have exhausted their benefits is based upon the numberactually exhausting benefits in previous periods "survived"using a conditional probability approach based on CPS data.
The second category, "new entrants and reentrants intothe labor force," cannot be estimated directly from UIstatistics, because unemployment for these persons is notimmediately preceded by the period of employment requiredto receive UI benefits. In addition, there is no uniform sourceof new entrants and reentrants data for States available atthe LMA level; the only existing source available is from theCPS at the State level. Separate estimates for new entrantsand for reentrants are derived from econometric models basedon current and historical State entrants data from the CPS.These model estimates are then allocated to all LMAs basedon the age distribution of the population of each-LMA. Fornew entrants, the area's proportion of the 16-19 year-oldpopulation group to the State 16-19 year-old population totalis used, and for reentrants, the Handbook area's proportionof the 20 years and older population to the State total 20years and older population is used.
Substate adjustment for consistency and additivity. Eachmonth, Handbook estimates are prepared for labor marketareas that exhaust the entire State area. To obtain a laborforce estimate for a given area, a "Handbook share" iscomputed for that area which is defined as the ratio of thatarea's Handbook estimates of employment andunemployment to the sum of the Handbook estimates ofemployment and unemployment for all LMAs in the State.These ratios are then multiplied by the current statewideestimate for employment and unemployment to produce thefinal adjusted LMA estimates.
Estimates for parts of LMAsCurrent labor force estimates at the sub-LMA level arerequired by several Federal programs. Disaggregationtechniques are used to obtain current estimates ofemployment and unemployment for counties within multi-county LMAs and cities, towns, and townships withincounties. Two alternative methods are used to disaggregatethe LMA estimates.
The population-claims method is the preferred technique.If residence-based UI claims data are available for the subareaswithin the labor market area, the ratio of claims in the subareato the total number of claims within the LMA is used todisaggregate the estimate of experienced unemployed to thesubarea level. To ensure the quality of the claims data usedin this technique, claimant records are processed through aresidency assignment system that verifies and/or corrects
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residence addresses and assigns the associated residencycodes. This provides a more accurate count of claims by city.The estimates of unemployed entrants are allocated basedon the latest available census distribution of the adult andteenage population groups. Employment is disaggregatedusing decennial census employment-population ratiosupdated by current population estimates. Estimates for alldisaggregated counties and New England cities and townsare developed using this method.
If the necessary UI claims data are not available, thecensus-share method is used. This method uses eachsubarea's decennial census share of total LMA employmentand unemployment, respectively, in order to disaggregateemployment and unemployment. Very few States will be usingthis method for data after 2004.
Annual activitiesOnce each year, labor force estimates are revised to reflectupdated input data and new U.S. Census Bureau populationcontrols. As part of this procedure, all of the State andsubstate models are reviewed, revised as necessary, and then
reestimated; this reestimation is called "smoothing."When new population controls are available from the
Bureau of the Census, typically in January, CPS estimates forall States, the District of Columbia, New York City; theChicago-Naperville-Joliet, IL metropolitan division;Cleveland-Elyria-Mentor, OH metropolitan area; Detroit-Warren-Livonia, MI metropolitan area; Los Angeles-LongBeach-Glendale, CA metropolitan division; Miami-MiamiBeach-Kendall, FL metropolitan division; New Orleans-Metairie-Kenner, LA metropolitan area; and, the Seattle-Bellevue-Everett, WA metropolitan division are adjusted tothese controls. Additionally, the time series regressionmodels for the States and model-based areas are reestimatedbased on the latest input data.
Other substate estimates for previous years are alsorevised on an annual basis. The updates incorporate anychanges in the inputs, such as revisions to establishment-based employment estimates or claims data and updatedhistorical relationships. The revised estimates are thenreadjusted to the latest statewide estimates of employmentand unemployment.
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Seasonal Adjustment
Over the course of a year, the size of the Nation's labor force,the levels of employment and unemployment, and other mea-sures of labor market activity undergo sharp fluctuations clueto such seasonal events as changes in weather, reduced orexpanded production, harvests, major holidays, and the open-ing and closing of schools. Because these seasonal eventsfollow a more or less regular pattern each year, their influenc son statistical trends can be eliminated by adjusting the statis-tics from month to month. These adjustments make it easierto observe the cyclical and other nonseasonal movements inthe series. Seasonally adjusted series for selected labor forceand establishment-based data are published monthly iaEmployment and Earnings.
Household dataBeginning in January 2003, BLS started using the X-12-ARIMA (Auto-Regressive Integrated Moving Average;)seasonal adjustment program to seasonally adjust nationallabor force data from the Current Population Survey (CPS),or household survey This program replaced the X-ll ARIMAprogram which had been used since January 1980. For adetailed description of the X-12-ARIMA program and itsfeatures, see D.F. Findley, B.C. Monsell, W.R. Bell, M.C. Otto,and B.C. Chen, £SNew Capabilities and Methods of the X-12-ARIMA Seasonal Adjustment Program,55 Journal of Businessand Economic Statistics, April 1998, Vol. 16, No. 2, pp. 127-152. See '̂ Revision of Seasonally Adjusted Labor Force Seriesin 2003," in the February 2003 issue of this publication for adiscussion of the introduction of the use of X-12 ARIMA forseasonal adjustment of the labor force data and. the effectsthat it had on the data*
Beginning in January 2004, BLS converted to the use ofconcurrent seasonal adjustment to produce seasonallyadjusted labor force estimates from the household survey,Concurrent seasonal adjustment uses all available monthlyestimates, including those for the current month, indeveloping seasonal factors. Previously, seasonal factorsfor the CPS data had been projected twice a year. As a resultof this change in methodology, BLS no longer publishesseasonal factors for the labor force data. For more informationon the adoption of concurrent seasonal adjustment for thelabor force data, see "Revision of Seasonally Adjusted LaborForce Series in 2004," in the January 2004 issue of thispublication available on the Internet at htty://www.bls.gov/cps7cpsrs2O04.pdf.
Revisions of historical data, usually for the most recent 5years, are made only at the beginning of each calendar year.However, as a result of the revisions to the estimates for 1970-81 based on 1980 census population counts, revisions toseasonally adjusted series .in early 1982 were carried back to
1970. In 1994, data were revised only for that year because ofthe major survey redesign and the introduction of 1990census-based population controls, adjusted for the estimatedundercount, into the Current Population Survey In 1996,1990-93 data also were revised to incorporate these 1990 census-based population controls and seasonally adjusted serieswere revised back to 1990. Subsequent revisions were carriedback only to 1994 through 1998, when the standard 5-yearrevision period was reinstated.
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 major labor force components— em-ployment, and unemployment—data for four sex-age groups(men and women under and over 20 years of age) are sepa-rately adjusted for seasonal variattion and are then added toderive seasonally adjusted total figures. The seasonally ad-justed figure for the labor force is a sum of four seasonallyadjusted civilian employment components and four season-ally adjusted unemployment components. The total forunemployment is the sum of the four unemployment compo-nents, and the unemployment rate is derived by dividing theresulting estimate of total unemployment by the estimate ofthe labor force. Because of the independent seasonal adjust-ment of various series, components will not necessarily addto totals.
Each January issue (March issue in 1996 and Februaryissue in 2003) of Employment and Earnings contains revisedseasonally adjusted data for selected labor force series basedon the experience through December and a description of thecurrent seasonal adjustment procedure.
National establishment dataBLS also uses the X-12-ARIMA seasonal adjustment programto seasonally adjust national establishment-basedemployment, hours, and earnings series derived from theCurrent Employment Statistics (CES) program. (Use of X-12ARIMA to seasonally adjust the CES data began in June1996, with the release of the March 1995 benchmark revisions.)Individual series are seasonally adjusted using either amultiplicative or an additive model. For employment, seasonaladjustment factors are directly applied to the componentlevels. Individual 3-digit NAICS levels are seasonally adjusted,and higher-level aggregates are formed by the summation ofthese components. Seasonally adjusted totals for hours andearnings are obtained by taking weighted averages of theseasonally adjusted data for the component series.
Revised seasonally adjusted national establishment-based series based on the experience through January 2005and a detailed description of the current seasonal adjustment
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procedure appear in the February 2005 issue of Employmentand Earnings.
Concurrent seasonal adjustment Beginning in June 2003with the May 2003 first preliminary estimates, BLS begancomputing seasonal factors concurrently with the monthlyestimate production. Previously, the factors were forecastedtwice a year. Concurrent seasonal adjustment is expected toprovide a more accurate seasonal adjustment, and smallerrevisions from the first preliminary estimates to the finalbenchmarked estimates, than the semiannual updates. As aresult of the adoption of concurrent seasonal adjustment,the CES program has discontinued the publication ofprojected seasonal factors.
Additive and multiplicative models. Prior to the March 2002benchmark release in June 2003, all CES series were adjustedusing multiplicative seasonal adjustment models. Althoughthe X-12-ARIMA seasonal adjustment program provides foreither an additive or a multiplicative adjustment dependingon which model best fits the individual series, the previousCES processing system was unable to utilize additiveseasonal adjustments. A new processing system, introducedsimultaneously with the conversion to NAICS in June 2003,is able to utilize both additive and multiplicative adjustments.The article, "BLS National Establishment Estimates Revisedto Incorporate March 2004 Benchmarks" published in theFebruary 2005 issue of this publication contains a list ofwhich series are adjusted with additive seasonal adjustmentmodels and which series are adjusted with multiplicativemodels. The article also lists which series are subject to thecalendar-effects modeling described below.
Variable survey intervals. Beginning with the release of the1995 benchmark, BLS refined the seasonal adjustmentprocedures to control for survey interval variations,sometimes referred to as the 4- versus 5-week effect.Although the CES survey is referenced to a consistentconcept—the pay period including the 12th of each month—inconsistencies arise because there are sometimes 4 andsometimes 5 weeks between the week including the 12thin a given pair of months. In highly seasonal industries,these variations can be an important determinant of themagnitude of seasonal hires or layoffs that have occurred atthe time the survey is taken, thereby complicating seasonaladjustment.
Standard seasonal adjustment methodology relies heavilyon the experience of the most recent 3 years to determine theexpected seasonal change in employment for each month ofthe current year. Prior to the implementation of the adjustment,the procedure did not distinguish between 4- and 5-weeksurvey intervals and the accuracy of the seasonal expectationdepended in large measure on how well the current year'ssurvey interval corresponded with those from the previous3 years. All else being the same, the greatest potential fordistortion occurred when the current month being estimated
had a 5-week interval but the 3 years preceding it were all4-week intervals, or conversely, when the current monthhad a 4-week interval but the 3 years preceding it were all5-week intervals.
BLS uses REGARIMA (regression with autocorrelatederrors) modeling to identify the estimated size andsignificance of the calendar effect for each published series.REGARIMA combines standard regression analysis, whichmeasures correlation among two or more variables, withAREMA modeling, which describes and predicts the behaviorof data series based on its own past history. For manyeconomic time series, including nonfarm payroll employment,observations are autocorrelated over time. That is, eachmonth's value is significantly dependent on the observationsthat precede it; these series, thus, usually can be successfullyfit using ARIMA models. If autocorrelated time series aremodeled through regression analysis alone, the measuredrelationships among other variables of interest may bedistorted due to the influence of the autocorrelation. Thus,the REGARIMA technique is appropriate to measur-ing relationships among variables of interest in seriesthat exhibit autocorrelation, such as nonfarm payrollemployment.
In this application, the correlations of interest are thosebetween employment levels in individual calendar monthsand the lengths of the survey intervals for those months.The REGARIMA models evaluate the variation inemployment levels attributable to 11 separate survey intervalvariables, one specified for each month, except March. Marchis excluded because there is almost always 4 weeks betweenthe February and March surveys. Models for individualbasic series are fitted with the most recent 10 years of dataavailable, the standard time span used for CES seasonaladjustment.
The REGARIMA procedure yields regression coefficientsfor each of the 11 months} specified in the model. Thesecoefficients provide estimates of the strength of therelationship between employment levels and the number ofweeks between surveys for the 11 modeled months. TheX-12-ARIMA software also produces diagnostic statisticsthat permit the assessment of the statistical significance ofthe regression coefficients, and all series are reviewed formodel adequacy.
Because the 11 coefficients derived from the REGARIMAmodels provide an estimate of the magnitude of variation inemployment levels associated with the length of the surveyinterval, these coefficients are used to adjust the CES data toremove the calendar effect. These "filtered" series then areseasonally adjusted using the standard X-12-ARIMAsoftware previously used.
For a few series, REGARIMA models did not fit well; theseseries are seasonally adjusted with the X-12 software butwithout the interval-effect adjustment. There are severaladditional special effects modeled through the REGARIMAprocess which are described below.
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Construction series. BLS continues its special treatment iiaseasonally adjusting the construction industry series, whichbegan with the 1996 benchmark revision. In the applicationof the interval-effect modeling process to the constructionseries, there initially was difficulty in accurately identifyingand measuring the effect because of the strong influence ofvariable weather patterns on employment movements in titleindustry. Further research allowed BLS to incorporateinterval-effect modeling for the construction industry bydisaggregating the construction series into its finer industryand geographic estimating cells and tightening outlierdesignation parameters. This process allowed a more preciseidentification of weather-related outliers that had masked theinterval effect and clouded the seasonal adjustment patternsin general. With these outliers removed, interval-effectmodeling became feasible. The result is a seasonally adjustedseries for construction that is improved because it iscontrolled for two potential distortions, unusual weatherevents and the 4- versus 5-week effect.
Floating holidays. BLS also makes special adjustments foraverage weekly hours and average weekly overtime series t<>account for the presence or absence of religious holidays inthe April survey reference period and the occurrence of LaborDay in the September reference period.
Local government series. A special adjustment also is madein the local government, excluding education series biNovember each year to account for variations in employmentdue to the presence or absence of poll workers.
Refinements in hours and earnings seasonal adjustmentWith the release of the 1997 benchmark, BLS implementedrefinements to the seasonal adjustment process for the houraand earnings series to correct for distortions related to ttemethod of accounting for the varying length of payrollperiods across months. There is a significant correlationbetween over-the-month changes in both the average weeklyhours and the average hourly earnings series and the numberof weekdays in a month, resulting in noneconomicfluctuations in these two series. Both series show moregrowth in "short" months (20 or 21 weekdays) than in "long"months (22 or 23 weekdays). The effect is stronger for thehours than for the earnings series.
The calendar effect is traceable to response andprocessing errors associated with converting payroll andhours information from sample respondents with semimonthlyor monthly pay periods to a weekly equivalent. The responseerror comes from sample respondents reporting a fixednumber of total hours for workers regardless of the lengthof the reference month, while the CES conversionprocess assumes that the hours reporting will be variable.Most likely, a constant level of hours is reported whenemployees are salaried rather than paid by the hour, becauseemployers are less likely to keep actual detailed hours records
for such employees. This gap in information causes artificialpeaks in the hours series in shorter months that are reversedin longer months.
The processing error occurs when respondents withsalaried workers report hours correctly (vary them accordingto the length of the month), which than dictates that differentconversion factors be applied to payroll and hours. The CESprocessing system uses the hours conversion factor for bothfields, resulting in peaks in the hourly earnings series in shortmonths and reversals in long months.
The series to which the length-of-pay-period adjustmentis applied are not subject to the 4- versus 5-week adjustment,because the modeling cannot support the number of variablesthat would be required in the regression equation to makeboth adjustments.
State establishment dataSeasonally adjusted nonfarm payroll employment data byselected industry supersectors for all States and the Districtof Columbia are presented in table B-7 of this publication.As with the national establishment data, the Stateestablishment data are seasonally adjusted with the X-12-AKJMA seasonal adjustment program. Seasonal adjustmentfactors are applied directly to the employment estimates atthe supersector level and then aggregated to the State totalsfor most States. For a few States that do not have manypublishable seasonally adjusted supersectors, however, totalnonfarm data are seasonally adjusted directly at theaggregate level The recomputation of seasonal factors andhistorical revisions are made coincident with the annualbenchmark adjustments.
Region and State labor force dataBeginning in 1992, BLS introduced publication of seasonallyadjusted labor force data for the census regions anddivisions, the 50 States, the District of Columbia, and PuertoRico (tables C-l and C-2). Beginning in 2005, labor forceestimates for census regions are derived by summing thecomponent division estimates of employment andunemployment and then calculating the unemployment rate.
Since 2005, a unified model-based approach has been usedat the census division and State level to simultaneouslyremove the effects of sampling error and seasonality toprovide seasonally adjusted estimates for employment andunemployment levels directly from the model, along withassociated error measures. Labor force levels andunemployment rates are calculated from these two estimates.Prior to 2005, a two-step approach was used. In the firststep, time-series models estimated and removed the effectsof sampling error from the series. In the second step, theerror-corrected series were seasonally adjusted using thelatest available version of X-l 1, initially X-l 1ARIMA, andlater the X-12-ARIMA seasonal adjustment program.
Usually, historical data for the most recent 5 years arerevised near the beginning of each calendar year, coincidentwith the release of January estimates.
217
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IssuesLabor Statistics
US. Department of LaborBureau of Labor Statistics
Free from BLS, to keep you informedThe Bureau's series of issues papers provides you with succinct, up-to-the-minute background data in a readily digestible form.They're convenient, current, easy to read, and available free from BLS. To be added to the Issues in Labor Statistics mailing list(No. J336), write to: Bureau of Labor Statistics, Office of Publications and Special Studies, Room 2850,2 Massachusetts Ave.,A/E, Washington, DC 20212-0001 or fax the coupon below to (202) 691-7890.
Issues in Labor Statistics also are available in PDF format on the E13 Web site: http://www.bls.gov/opyb/ils/opbilshm.htm
Here are some reeent issues.
2002Twenty-first century moonlightersDeclining teen labor force participationConsumer Spending Patterns Differ by RegionHousing expendituresCertification Can Count: The Case of Aircraft Mechanics
2001New and emerging occupationsWho was affected as the economy started to slow?Characteristics and spending patterns of consumer unite in the lowest 10 percent of the expenditure distribution
2000Unemployed Job Leavers: A Meaningful Gauge of Confidence in the Job Market?Spending Patterns By AgeWhen one job is not enoughA comparison of the characteristics and spending patterns of Food Stamp recipients and nonrecipientsLabor Supply in a Tight Labor MarketAre Managers and Professionals Really Working More?
1999Occupational StressExpenditures on Public TransportationConsumer Spending on Traveling for PleasureWhat the Nation Spends on Health Care: A Regional ComparisonWhat Women Earned in 1998Computer Ownership Up Sharply in the 1990sThe Southeast is Maintaining Its Share of Textile Plant EmploymentAuto Dealers are Fewer, Bigger^ and Employ More Workers
1998Labor-Market Outcomes for City Dwellers and SuburbanitesSpending Patterns of High-income HouseholdsNew Occupations Emerging Across Industry Lines
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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 laborforce data; D: Quarterly, household data only, in the January, April, July, and October issues. Annual averages: Household data in the Januaryissue; national establishment data in the January, March, and June issues; State and area establishment and labor force data in the May issue.For additional information see the listing on the inside front cover of this publication.
Topic
Monthly
Seasonallyadjusted
Notseasonally
Quarterly averages
Seasonallyadjusted
Notseasonally
Annualaverages
Absences from workAggregate weekly hours (index)Agricultural industries
At workClass of workerDiffusion indexDiscouraged workersEarnings, hourlyEarnings, weekly
Educational attainmentEmployment by:
AgeHispanic or Latino ethnicityIndustry
OccupationRace
Sex
Full-time workersHistorical dataHours of work
Jobsearch methodsMarital statusMinimum-wage workersMultiple jobholdersNonagricultural industries
Not in the labor forcePart-time workersProduction or nonsupervisoryworkers
School enrollmentState, region, and area dataUnemployment by:
Age
DurationHispanic or Latino ethnicityIndustry of last jobOccupation of last jobRace
ReasonSex
Union affiliation
B-9A-7
A-7A-7B-6
B-11B-11
A-5
A-3-4,6, 8A-4B-3-5, 7
A-4
A-2-4, B, 8; B-4
A-6
B-8-10
A-8-10
A-7
A-6
B-5, 8-9, 11
B-7; C-1-2
A-3-4, 6, 9-10
A-12A-4
A-4
A-11A-2-4, 6, 9-10
A- 21-23, 30, 36
A-18, 23-27A-22, 25, 30
A-37B-2, 15-18B-2, 15, 17-18
A-16, 17
A-13-16, 18,19,22A-14-18, 20A-21;B-12-14
A-19-21A-13, 15-18, 20
A-13-20, 22;B-13
A-18, 34
A-18, 23-27; B-2,15,18
A-26, 28, 35
A-38A-22-26
A-37A-18
B-12, 15-18
A-16B-14,18;C-3
A-13-16, 18, 2831,33,35
A-33-36A-14-18, 28, 32, 35A-30, 36A-29, 36A-13, 15-18, 28,
32,35A-31-35A-13-18, 28-31,
33,35
D-1,5, 9
D-5D-5
D-3
D-1-2, 4, 6D-2
D-5D-2
D-1-2, 4-6
D-4
D-5, 9
D-1, 5
D-4
D-1-2, 7-8
D-11D-2D-9D-9D-2
D-10D-1-2, 7-8
D-12-15
D-14-15
D-20-22
D-12-13, 16D-12-16
D-14-15D-12, 14, 16
D-12-16
D-14-15
D-14-15
D-12-13, 17
D-19D-12-13, 17-19
D-12, 17-21
D-18D-12-13, 17
46-47
A-1-2; 1-2, 5-6,12-13, 15, 1718,26,32
19-2312-13, 15-16
35B-2,15-17; 52; 2B-2, 15, 17;
37-39, 52; 27
3-6, 8-9, 14-154-7, 11-13, 18B-1, 12-13;16-18; 50; 1
9-13, 173, 5, 7-8, 10-12,
14, 17-18B-13; 2-18
8, 12-13, 30A-1-2; B-1-2; 1-2B-15;19-23, 52; 2
33-3424,3144-4536A-1-2; 1-2, 5-6,
12-13, 15358, 12-13
B-12, 15-17;51-52
1-5
3-6, 8, 24, 27, 2933
29-324-7, 2826,3225,323, 5, 7-8, 24, 28,31,33
27-292-8, 24, 25-27,29,31,33-35
40-43
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Cooperating State AgenciesCurrent Employment Statistics (CES) and State and Local Area Unemployment Statistics (LAUS) Programs
ALABAMA
ALASKA
ARIZONA
ARKANSAS
CALIFORNIA
COLORADO
CONNECTICUT
DELAWARE
DISTRICT OF COLUMBIA
FLORIDA
GEORGIA
HAWAII
IDAHO
ILLINOIS
INDIANA
IOWA
KANSAS
KENTUCKY
LOUISIANA
MAINE
MARYLAND
MASSACHUSETTS
MICHIGAN
MINNESOTA
MISSISSIPPI
MISSOURI
MONTANA
NEBRASKA
Department of Industrial Relations, Room 427,Industrial Relations Bldg., Montgomery 36130
Department of Labor, Research and AnalysisSection, P.O. Box 21149, Juneau 99802-5501
Department of Economic Security, 1789 WestJefferson St., Phoenix 85007
Employment Security Department, Labor MarketInformation, P.O. Box 2981, Little Rock 72203-2981
Employment Development Department, LaborMarket Information Division, 7000 Franklin Blvd.,Suite 1100, Sacramento 95823
Department of Labor and Employment, Tower 2,Suite300,1515 Arapahoe Ave.( Denver 80202-2117
Department of Labor, Office of Research,200 Folly Brook Blvd., Wethersfield 06109
Department of Labor, Office of Occupationaland Labor Market Information, P.O. Box 9965,Wilmington 19809
Department of Employment Services,Office of Policy, Legislative and Statistical Analysis,Room 3304,77 P Street, NE., Washington, DC 20002
Agency for Workforce Innovation, Labor MarketStatistics, SB/Marpan Lane, Bldg. B,Tallahassee 32305-0902
Department of Labor, Workforce Informationand Analysis, 148 International Blvd., NE., CWC 300,Atlanta 30303-1751
Department of Labor and Industrial Relations,Research and Statistics Office, Room 304,830 Punchbowl St., Honolulu 96813
Department of Labor, 317 West Main St.,Boise 83735
Department of Employment Security, EconomicInformation and Analysis Division, (7 North),401 South State St., Chicago 60605
Department of Workforce Development, LaborMarket lnformation,10 North Senate Ave...Indianapolis 46204
Workforce Development, 1000 East Grand Ave.,DesMoines50319
Department of Human Resources, Labor MarketInformation Services, 401 SW.Topeka Ave.,Topeka 66603
Workforce Development Cabinet, Department forEmployment Services, Research and StatisticsBranch, 275 East Main Street 2W, Frankfort 40601
Department of Labor, Research and StatisticsDivision, P.O. Box 94094, Baton Rouge 70804-9094
Department of Labor, Division of Labor MarketInformation Services, 20 Union St., Augusta 04330
Department of Labor, Licensing, and Regulations,Office of Labor Market Analysis and Information,Room 316,1100 North EutawSt., Baltimore 21201
Division of Employment and Training, Charles F.Hurley Bldg., 19 Staniford St., Boston 02114
Department of Labor and Economic Growth,Bureau of Labor Market Informationand Strategic Initiatives,Suite 9-100,Detroit 48202-3152
Department of Economic Security, Research andStatistical Services, 5th Floor, 390 North Robert St.,St. Paul 55101
Employment Security Commission, Labor MarketInformation Department, P.O. Box 1699,Jackson 39215-1699
Department of Economic Development,Economic Research and Information Center,P.O. Box 3150, Jefferson City 65102-3150
Department of Labor and Industry, Researchand Analysis, P.O.Box 1728, Helena 59624
Department of Labor, Labor Market Information,.P.O. Box 94600, Lincoln 68509-4600
NEVADA
NEW HAMPSHIRE
NEW JERSEY
NEW MEXICO
NEWYORK
NORTH CAROLINA
NORTH DAKOTA
OHIO
OKLAHOMA
OREGON
PENNSYLVANIA
PUERTO RICO
RHODE ISLAND
SOUTH CAROLINA
SOUTH DAKOTA
TENNESSEE
TEXAS
UTAH
VERMONT
VIRGINIA
VIRGIN ISLANDS
WASHINGTON
WEST VIRGINIA
WISCONSIN
WYOMING
Employment Security Department, Researchand Analysis Bureau, 500 East 3rd St.,Carson City 89713
Department of Employment Security,Economic and Labor Market InformationBureau, 32 South Main St.,Concord 03301
Department of Labor, Labor Market andDemographic Research, P.O. Box 388,Trenton 08625
Department of Labor, Economic Researchand Analysis Bureau, P.O. Box 1928,Albuquerque 87103
Department of Labor, Division of Researchand Statistics, State Campus, Room 400,Bldg. 12, Albany 12240-0020
Employment Security Commission, LaborMarket Information Division, P.O. Box 25903,Raleigh 27611
Job Service, P.O. Box 5507, Bismark 58502
Bureau of Employment Services, Labor MarketInformation Division, 78-80 Chestnut St.,Columbus 43215
Employment Security Commission, EconomicResearch and Analysis Division, 2401 NorthLincoln Blvd., Oklahoma City 73105
Employment Department, 875 Union St., NE.,Salem 97311
Department of Labor and Industry, Center forWorkforce Information and Analysis, Laborand Industry Bldg., Room 220, Seventh andForster Sts., Harrisburg 17121-0001
Department of Labor and Human Resources,Bureau of Labor Statistics, 17th Floor,505 Munoz Rivera Ave., San Juan 00918
Department of Labor and Training, Labor MarketInformation, 1511 Pontiac Avenue, Cranston 02920
Employment Security Division, Labor MarketInformation, P.O. Box 995, Columbia 29202
Department of Labor, Labor MarketInformation Center, P.O. Box 4730,Aberdeen 57402-4730
Department of Labor and Workforce Development,Research and Statistics Division,500 James Robertson Parkway, 11th Floor,Nashville 37245-1000
Workforce Commission, Economic Researchand Analysis, 9001 North IH-35, Suite 103A,Austin 78753
Department of Workforce Services, WorkforceInformation, 140 East 300 South, RO. Box45249, Salt Lake City 84114
Department of Employment and Training,Labor Market Information, P.O. Box 488,Montpelier 05601
Employment Commission, EconomicInformation Services Division, P.O. Box1358, Richmond 23218-1358
Department of Labor, Bureau of LaborStatistics, 53-A, 54-A&B KronprindsensGade, Charlotte Amalie, St. Thomas00801-3359 (CES)
Employment Security Department, LaborMarket and Economic Analysis Branch,P.O. Box 9046, Olympia 98507-9046
Bureau of Employment Programs Research,Information Analysis, 112 California Ave.,Charleston 25305
Department of Workforce Development,Bureau of Workforce Information, 201 EastWashington Ave., Madison 53707
Employment Resources Division, Researchand Planning, P.O. Box 2760, Casper 82602
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