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Page 1: emp_200508

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

Cover Design:Keith Tapscott

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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.

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

Page 12: emp_200508

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.

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

Page 13: emp_200508

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.

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

Page 14: emp_200508

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.

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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.

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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.

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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.

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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.

16

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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

17

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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.

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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.

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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.

38

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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.

43

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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.

44

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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

45

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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.

46

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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.

48

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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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Page 57: emp_200508

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.

51

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Page 58: emp_200508

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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Page 60: emp_200508

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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Page 61: emp_200508

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

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Page 62: emp_200508

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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Page 63: emp_200508

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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Page 64: emp_200508

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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Page 65: emp_200508

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.

59

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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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Page 67: emp_200508

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

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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. 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

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

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

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

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

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

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

Page 74: emp_200508

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

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

Page 75: emp_200508

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.

70

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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.

71

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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

72

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Page 79: emp_200508

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.

73

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Page 80: emp_200508

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

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Page 81: emp_200508

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

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

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

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

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

Page 85: emp_200508

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

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

Page 86: emp_200508

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

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

Page 87: emp_200508

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

Page 88: emp_200508

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

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

Page 89: emp_200508

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

Page 90: emp_200508

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

Page 91: emp_200508

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

Page 92: emp_200508

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

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

Page 93: emp_200508

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

Page 94: emp_200508

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

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

Page 95: emp_200508

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

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

Page 97: emp_200508

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

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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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Page 99: emp_200508

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.

93

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Page 100: emp_200508

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.

94Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

Page 101: emp_200508

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.

95Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

Page 102: emp_200508

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

Page 103: emp_200508

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

Page 104: emp_200508

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

Page 105: emp_200508

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

Page 106: emp_200508

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

Page 107: emp_200508

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

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

Page 109: emp_200508

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

Page 110: emp_200508

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

Page 111: emp_200508

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

Page 112: emp_200508

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

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

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

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

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

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

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

Page 119: emp_200508

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

Page 120: emp_200508

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

Page 121: emp_200508

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

Page 122: emp_200508

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.

116Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

Page 123: emp_200508

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.

117Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

Page 124: emp_200508

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

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

Page 125: emp_200508

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.

120Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

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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.

121

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Page 128: emp_200508

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.

122

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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.

123

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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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Page 131: emp_200508

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

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Page 132: emp_200508

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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Page 133: emp_200508

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

Page 134: emp_200508

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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Page 135: emp_200508

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

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Page 136: emp_200508

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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Page 138: emp_200508

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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Page 139: emp_200508

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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Page 140: emp_200508

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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Page 141: emp_200508

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

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

Page 142: emp_200508

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

Page 143: emp_200508

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

Page 144: emp_200508

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

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

Page 146: emp_200508

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

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

Page 147: emp_200508

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

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Page 150: emp_200508

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

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Page 151: emp_200508

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

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Page 152: emp_200508

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

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

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

Page 155: emp_200508

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

Page 156: emp_200508

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

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.

154

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Page 161: emp_200508

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.

156

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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.

157

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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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Page 167: emp_200508

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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Page 168: emp_200508

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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Page 169: emp_200508

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

Page 170: emp_200508

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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Page 171: emp_200508

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.

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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.

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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

220u s - GOVERNMENT PRINTING OFFICE: 2006-324-743/40161

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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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U.S. BUREAU OF LABOR STATISTICS —>Postal Square Building. Rm. 2850 fTOGAL§2 Massachusetts Ave.. NE ) Postage and Fees PaidWashington. DC 20212-0001 ! U.S. Department of Labor

y . . (USPS 485-010.)Official Business .. •+.. . _ ; ^-., :_;.Penally tor Privnte Uso. S300 • 'Arld!«:.s3 Service Requested

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