Full text of Employment and Earnings : June 2005

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Employment & Earnings
U.S. Department of Labor
U.S, Bureau of Labor Statistics
June 2005
•




U.S. DEPARTMENT OF LABOR
Elaine L. Chao, Secretary

June 2005
Vol. 52 No. 6

U.S. BUREAU OF LABOR STATISTICS
Kathleen P. Utgoff, Commissioner

Calendar of Features

Employment & Earnings (ISSN 0013-6840; USPS 485-010),
is published monthly and prepared in the Office of
Employment and Unemployment Statistics in collaboration
with the Office of Publications. The data are collected by
the U.S. Census Bureau (Department of Commerce) and
State Employment Security Agencies, in cooperation with
the Bureau of Labor Statistics. The State agencies are listed
on the inside back cover.
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Earnings, U.S. Government Printing Office, Washington, DC
20402.
Communications on material in this publication should be
addressed to: Editors, Employment & Earnings, Bureau of
Labor Statistics, Washington, DC 20212. Specific questions
concerning the data in this publication, or their availability,
should be directed as follows:
Household data:
Telephone: (202) 691-6378
E-mail: CPSInfo@bls.gov
Internet: http://www.bls.gov/cps/
National establishment data:
Telephone: (202) 691-6555
E-mail: CESInfo@bls.gov
Internet: http://www.bls.gov/ces/
State and area establishment data:
Telephone: (202) 691-6559
E-mail: Data_SA @bls.gov
Internet: http://www.bls.gov/sae/
Region, State, and area labor force data:
Telephone: (202) 691-6392
E-mail: Lauslnfo@bls.gov
Internet: http://www.bls.gov/lau/

In addition to the monthly data appearing regularly
in Employment & Earnings, special features appear
in most of the issues as shown below.

Household data
Revised seasonally adjusted series

Jan.

Annual averages

Jan.

Earnings by detailed occupation

Jan.

Union affiliation

Jan.

Minimum wage data

Jan.

Employee absences

Jan.

Quarterly averages: Seasonally adjusted data,
persons of Hispanic or Latino ethnicity, and
weekly earnings data

Jan., Apr., July, Oct.

Establishment data
National annual averages:
Industry sectors (preliminary)

Jan.

Industry detail

March

Women employees

March

National data revised to reflect new benchmarks
and revised seasonally adjusted series

Feb.

State and area annual averages

May

Area definitions

May

Region, State, and area labor force data
Annual averages

May

Periodicals postage paid at Washington, DC, and at
additional mailing addresses.
Information in this publication will be made available to
sensory 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, with
appropriate credit, may be reproduced without permission.




Cover Design:
Keith Tapscott

EmploymentQ^Karnings
Editor
John F. Stinson, Jr.

Design and Layout
Phyllis L. Lott

Editor's Note
With the release of data for January 2005, the Bureau of Labor Statistics introduced several changes to the Local Area Unemployment
Statistics (LAUS) program's inputs and methodology for substate areas. Subsequently, BLS discovered an error affecting one of the
employment inputs to the substate estimation process. This error affected previously published estimated levels of the size of the labor
force for all metropolitan areas for January through March 2005 previously published in tables C-3 and C-4 of this publication.
Due to the problems with the substate data, tables C-3 and C-4 are not being published in this issue. Corrected monthly labor force data
by metropolitan area will be published as soon as they become available. In addition, annual average labor force data fox regions, States,
and metropolitan areas, which usually appear in the May issue, will! be published in a future issue as soon as the metropolitan area data
become available,
Nonfarm payroll employment, hours, and earnings estimates for metropolitan areas from the establishment survey are not affected by
the problems with the LAUS data and current data are presented in tables B-14, B-15, B-19, and B-20 of this publication.

Contents
Page
List of statistical tables
Contents of the explanatory notes and estimates of error
Employment and unemployment developments, May 2005
Summary tables and charts....
Explanatory notes and estimates of error....
Index to statistical tables

ii
iv
1
3
167
212

,

Statistical fables
Source

Historical

Seasonally
adjusted

Household data...................
Establishment data:
Employment:
National......................
State ............................
Area .............................
Division......................
Hours and earnings:
National ......................
State and area..............
Division......................
Local area labor force data:
Region ............................
State................................




Not
seasonally
adjusted
17

50

55
62

75
96
96
120

51

71

126
156
159

161
162

Monthly Household Data
Page

Historical
A-l. Employment status of the civilian noninstitutional population 16 years and over, 1969 to date
A~2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1992 to date

5
6

Seasonally Adjusted Data
Employment Status
A-3. Employment status of the civilian noninstitutional population by sex and age .
A-4. Employment status of the civilian noninstitutional population by race, sex, age,
and Hispanic or Latino ethnicity
A-5. Employment status of the civilian noninstitutional population 25 years and over
by educational attainment
.
A-6. Employed and unemployed full- and part-time workers by sex and age
Characteristics of the Employed
A-7. Employed persons by class of worker and part-time status.,
A-8. Employed persons by age, sex, and marital status
r

7
8
10
11
12
13

....

Characteristics of the Unemployed
A-9.
A-10.
A-ll.
A-12.

Unemployed persons by age, sex, and marital status
Unemployment rates by age, sex, and marital status
Unemployed persons by reason for unemployment
Unemployed persons by duration of unemployment

,

14
15
16
16

Not Seasonally Adjusted Data
Employment Status
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
A-14. Employment status of the Hispanic or Latino population by age and sex
A-15. Employment status of the civilian noninstitutional population by race, sex, age,
and Hispanic or Latino ethnicity
A-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
A-17. Employment status of the civilian noninstitutional population 25 years and over by
educational attainment, sex, race, and Hispanic or Latino ethnicity
A-18. Employed and unemployed full- and part-time workers by age, sex, race, and
Hispanic or Latino ethnicity
.
Characteristics of the Employed
A-19. Employed persons by occupation, sex, and age
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex „
A-21. Employed persons by industry and occupation
A~22. Employed persons in agriculture and related and in nonagricultural industries
by age, sex, and class of worker
A-23. Employed persons in nonagricultural industries by sex and class of worker.....
,
A-24. Persons at work in agriculture and related and in nonagricultural industries by hours of work
.
A-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
A-26. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status
A-27. Persons at work in nonagricultural industries by age, sex, race, Hispanic or
Latino ethnicity, marital status, and usual full- or part-time status
.
A~28. Persons at work by occupation, sex, and usual full- or part-time status
Characteristics of the Unemployed
A-29. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex
A-30. Unemployed persons by occupation and sex
....,
A-31. Unemployed persons by industry and sex
A-32. Unemployed persons by reason for unemployment, sex, and age
A-33. Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity
A-34. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment
A-35. Unemployed total and full-time workers by duration of unemployment
A-36. Unemployed persons by age, sex, race, Hispanic or Latino ethnicity, marital status,
and duration of unemployment
.,
A-37. Unemployed persons by occupation, industry, and duration of unemployment

17
21
22
23
25
26
28
29
31
32
33
35
....

....

„

35
36
37
38
39
40
41
43
44
45
45
46
47

Persons Not in the Labor Force
A-38. Persons not in the labor force by desire and availability for work, age, and sex
Multiple Jobholders
A-39. Multiple jobholders by selected demographic and economic characteristics.,..



ii

48
„

49

Monthly Establishment Data
Page

Historical
B-l, Employees on nonfarm payrolls by major industry sector, 1955 to date
B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector, 1964 to date
.

50
51

Seasonally Adjusted Data
Employment
National
B-3 Employees on nonfarm payrolls by major industry sector and selected industry detail
B-4. Women employees on nonfarm payrolls by majojr industry sector and selected industry detail.
B-5. Production or nonsupervisory workers on private nonfarm payrolls by major industry sector
and selected industry detail
B-6, Diffusion indexes of employment change

55
59
60
61

States
B-7. Employees on nonfarm payrolls by State and major industry

,...,

62

Hours and Earnings
National
B-8. Average weekly hours of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail
B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail
B-10. Hours of wage and salary workers on nonfarm payrolls by major industry
B-ll. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail

71
72
73
74

Not Seasonally Adjusted Data
Employment
national
B-12. Employees on nonfarm payrolls by detailed industry....
B-13. Women employees on nonfarm payrolls by majoi industry sector and selected industry detail

15
,

95

States, Areas, and Divisions
B-14. Employees on nonfarm payrolls in States and selected areas by major industry
B-15. Employees on nonfarm payrolls by State, selected metropolitan area, and metropolitan division

96
120

Hours and Earnings
National
B-16. Average hours and earnings of production or nonsupervisory workers on private nonfann
payrolls by detailed industry
B-17. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls
B-l 8. Average hourly and weekly earnings of production or nonsupervisory workers on private
nonfann payrolls by major industry sector and selected industry detail, in current
and constant (1982) dollars
States, Areas, and Divisions
B-l 9. Average hours and earnings of production workers on manufacturing payrolls in States
and selected areas
B-20. Average hours and earnings of production workers on manufacturing payrolls in selected
States, metropolitan areas, and metropolitan divisions ..„..'

126
154
155

156
159

Monthly Regional, State, Area, and Division Labor Force Data
Seasonally Adjusted Data
C-l. Labor force status by census region and division
C-2. Labor force status-by State
...



160
162
III I

Explanatory Notes and Estimates of Error

Page

Introduction
, Relationship between the household and establishment
series
Comparability of household data with other series
Comparability of payroll employment data with
other series
Household data
Collection and coverage
Concepts and definitions
Historical comparability
Changes in concepts and methods
Noncomparability of labor force levels
Changes in the occupational and industrial
classification systems..,.,,.,....
Sampling
Selection of sample areas
„
Selection of sample households
,
Rotation of sample
CPS sample, 1947 to present
.
Estimating methods
Noninterview adjustment
.
Ratio estimates
First stage
Second stage
Composite estimation procedure
Rounding of estimates
Reliability of the estimates
Nonsampling error
.
Sampling error...
Tables 1-B through 1-H
Establishment data
Data collection
Concepts
Estimating methods
Benchmarks
Monthly estimation
Stratification




Page

Establishment data—Continued
Weighted link-relative technique
Summary of methods table
Weighted link and taper technique
Business birth and death estimation...
•
Residential and nonresidential specialty
trade contractors estimates
The sample
.
Design
Frame and sample selection
Selection weights
.
Sample rotation
,
Frame maintenance and sample updates...
Subsampling
Coverage
,
Employment benchmarks and sample
coverage table
Reliability
Benchmark revision as a measure of survey
error
Revisions between preliminary and final data
Variance estimation
.
,
Appropriate uses of sampling variances
Sampling errors
,
Statistics for States, areas, and divisions

167
167
168
168
169
169
169
171
171
173

,

176
177
177
178
178
179
179
179
179
179
180
180
180
180
180
181
181
187
187
187
189
190
190
190

IV

190
191
191
193
194
194
194
195
195
195
196
196
196
196
196
197
197
197
197
197
198

Region, State, area, and division labor force data
Federal-State cooperative program
Estimating methods
Estimates for States
Estimates for substate labor market areas
Employment
Unemployment.....
Substate adjustment for consistency and
additivity
Estimates for parts of LMAs
Annual activities

206
206
206
206
206
207
207
207
207
208

Seasonal adjustment

209

Employment and Unemployment
Developments, May 2005

N

bnfarm employment edged up by 78,000 in Maty
following a much larger increase in April, and the
unemployment rate was essentially unchanged at
5.1 percent. Payroll employment continued to grow over the
month in health care and construction, but was little changed
in the other major industry sectors.

Unemployment
Both the number of unemployed persons, 7.6 million, and the
unemployment rate, 5.1 percent, were essentially unchanged
in May, The jobless rate was down from 5.6 percent a year
earlier. Over the month, the unemployment rates for adult
men (4.4 percent), adult women (4.6 percent), teenagers (17.9
percent), whites (4,4 percent), blacks (10.1 percent), and
Hispanics or Latinos (6.0 percent) showed little or no change,
The jobless rate for Asians was 3.9 percent, not seasonally
adjusted (See tables A~3,A-4,andA-13.)
The number of long-term unemployed—those
unemployed 27 weeks and over—was little changed over
the month. This group continued to account for about 1 in 5
unemployed persons. (See table A-12.)

Total employment and the labor force
In May, total employment, at 141.5 million, and the civilian
labor force, at 149.1 million, continued to trend up. The
employment-population ratio, at 62.7 percent, has trended
up in recent months* (See table A»3.)

Persons not in the labor force
There were 1.4 million persons who were marginally attached
to the labor force in May, down slightly from a year earlier,
(Data are not seasonally adjusted.) These individuals wanted
and were available to work and had looked for a job sometime
in the prior 12 months. They were not counted as unemployed,
however, because they did not actively search for work in
the 4 weeks preceding the survey. The number of discouraged
workers, at 392,000 in May, declined over the year.
Discouraged workers, a subset of the marginally attached,
were not currently looking for work specifically because they
believed no jobs were available for them. Theother 1.0 million
marginally attached had not searched for work for reasons
such as school attendance or family responsibilities. (See
tabfeA-38.)

Industry payroll employment
Total nonfarm employment edged up by 78,000 in May after



an increase of 274,000 in die prior month. Payroll job growth
averaged 176,000 over the 2 months, in line with the monthly
average of 184,000 over the 12 months ending in March. In
May, health care and construction continued to add jobs,
while employment in most other industries was little changed.
(See table B-3.)
Health care employment continued to grow in May, rising
by 26,000. Offices of physicians and hospitals accounted
for most of the job gain. Over the year, the health care industry
added 233,000 jobs.
Following a sizable April gain, leisure and hospitality
employment was flat in May. Employment also was little
changed in financial activities and in professional and
business services. Over the last 3 months, job growth in
professional and business services has averaged 18,000 per
month, compared with 52,000 per month during the 12 months
ending in February. Temporary help services employment
was about unchanged in May and has shown little net growth
since October.
Employment in the information industry, which increased
in April, edged down in May; both the April and May
movements in information were driven by the motion picture
and sound recording industries.
In the goods-producing sector, construction employment
continued to grow in May (20,000), Within this industry, a
gain of 26,000 jobs among residential specialty trade
contractors more than offset a loss of 16,000 among
nonresidential contractors. Job growth in heavy construction
continued in May; employment in the industry has increased
by 34,000 since its recent low point in February 2004.
After rising by 30,000 between October and April,
employment in mining was essentially unchanged in May.
Manufacturing employment was little changed over the
month. Since August 2004, factory employment has decreased
by 67,000. In May, there were job declines in apparel and in
plastics and rubber products.

Weekly hours
The average workweek for production or nonsupervisory
workers on private nonfarm payrolls was unchanged at 33.8
hours in May, seasonally adjusted. The manufacturing
workweek decreased by 0.1 hour to 40.4 hours, while
manufacturing overtime was unchanged at 4.4 hours. (See
table B-8.)
The index of aggregate weekly hours of production or
nonsupervisory workers on private nonfarm payrolls

increased by 0.1 percent in May to 102.6 (2002-100). The
manufacturing index was down by 0.2 percent over the month
to 93.6. (See table B-9.)

Hourly and weekly earnings

workers on private nonfaim payrolls rose by 3 cents in May
to $16.03, seasonally adjusted Average weekly earnings
increased by 0.2 percent over the month to $541.81. Over the
year, average hourly and weekly earnings each grew by 2.6
percent. (See table B-11.)

Average hourly earnings of production or nonsupervisory




Scheduled Release Dates
Employment and unemployment data are scheduled for initial release on
the following dates:
Reference month

Release date

Reference month

Release date

September

October 7

June

July 8

July

August 5

October

November 4

September 2

November

December 2

August

Summary table A. Major labor force status categories, seasonal!/ adjusted
(Numbers in thousands)
2005

2004
Category

May

June

July

Sept.

Aug.

Oct.

Jan.

Feb.

Mar.

Apr.

May

224,837
147,979

225,041
148,132

225,236

225,441
148,762

225,670
149,122

Dec.

Nov.

Labor force status
222,967
147,018

Civilian noninstHutional population
Civilian labor force ..................
Percent of population ..
Employed
Percent of population
Unemployed
Not«nlaborforce

223,422
147,823

223,196
147,386

65.9

66.0

66.2

138,846
62.3
8,172
75,950

139,158
62.3
8,228
75,809

139,639

62.5
8,184

75,599

223,677
147,676
66.0
139,658
62.4
8,018
76,001

223,941
147,531

224,192
147,893

65.9
139,527
62.3
ft.005
76,410

224,640

224,422
148,313

148,203

148,157

66.0

66.1

66.0

65.8

65.8

65.8

66.0

66.1

139,827

140,293

140,156

140,241

140,144

140,501

141.099

62.4
8,066
76,299

62.5

62.4

62.3

8,020

8,047

62.4
7,737

76,109

76,437

76,858

7,988
76,909

62.4
7,656
77,079

62.6
7,663
76,679

141,475
62.7

5.2
4.7
4.6
16.3
4.4
10.6
6.1

5.4
4.9
4.7
17.5
4.6
10.9
6.4

5.2
4.6
4.5
16.9
4.4
10.3
5.7

5.2
4.4
4.6
17.7
4.4
10.4
6.4

5.1
4.4
4,6
17.9
4.4
10.1
6.0

Apr.P

MayP

7,647
76,547

Unemployment rates
5.5
4.9
4.9
17.6
4.8
11.0
6.8

5.6

5.6
5.2
4.8
17.2
5.0
10,0
6.9

All workers
...,.,..,.....
Men, 20 years and over..„,.....
Women, 20 years and over .....
Both sexes, 16 to 19 years ......
White ..................................
Black or African America,'!!.......
Hispanic or latino ethnicity ...,.

5.0
5.0
16.8
5.0
10.3

6,7

5.4
5,0
4.7
16.6
4.7
10.4
7.0

5,4

5.0
4.7
17.0
4.7
10,5
6.9

5,5
4.9
4.8
17.2
4.7
10.7
6.7

5.4

5.4
4.9
4.7
17.6
4,6
10.8
6.6

4.9
4.7
16.5
4,6
10.8
6,7

NOTE: Beginning in January 2005, data reflect revised population controls used in the howi«!iio8cl survey.

Summary table B. Employment, hours, and earnings of employees on nonfarm payrolls, seasonally adjusted
(Numbers in thousands)
2005

2004
Industry

May

June

July

Aug.

Sept

Nov.

Oct.

Dec.

Jan.

Fet>.

Mar.

Employment
131,373 131,479 131,562 131,750
21,888 21,890 21,902 21,943
6,9851
6,955
6,965
6,949
Construction
,.
14,347 14,344
14,341 14,363
Manufacturing
Service-providing\..................................... 109,485 109,589 109,660 109,804
Retail trade
.
............. 15052.3 15060.5 15048.2 15043.3
4236.3 4250.9 4257.0 4260.4
Transoortation and warehousing.
3,135
3,146
3,151
3,144
8,053
8,037
8,051
8,043
Financial activities
16,415
16,453 16,470
Professional and business services
, 16,384
16,913 16.936
16,963 17,010
Education and health services
12,474
12,486
12,497 12,508
Leisure and hospitality
.. ..... .
21,586 21,571 21,586 21,641!
Government
Total nonfarm . . . . .
Goodt^ModucinQ......................................

131,880 132,162 132,294 132,449 132,573 132,873 132,995 133,269 133,347
21,947 21,982 21,996 22,022 22,004 22,066 22,093 22,135 22,149
7,060
6,998
7,043
7,086
7,090
7,133
7,159
7,207
7,227
14,352 14,344 14,337 14,334 14,307 14,321 14,315 14,306 14,299
109,933 110,180 110,298 110,427 110,569 110,807 110,902 111,134 111,198
15037.7 15056.5 15081.4 15077.0 15081.2 15125.4 15128.7 15155.3 15166.0
4274.1 4279.6 4289.6 4288.0 4316.0 4324.1 4336.6 4354.1 4363.7
3,131
3,133
3,127
3,127
3,127
3,123
3,134
3,149
3,141
8,107
8,165
8,093
8,128
8,150
8,185
8,083
8,167
8,181
16,514 16,614 16,611 16,674 16,694
16,775 16,796 16,829 16,828
17,019 17,081 17,108 17,142 17,178 17,186
17,210 17,244 17,284
12,522 12,546 12,571 12,589
12,611 12,650 12,662 12,725 12,719
21,677 21,700 21,706 21,700 21,710 21,733 21,731 21,744 21,749
Over-the-month change

Goods-producing1,
Construction .........................................
Manufacturing
.
.»
Service-DrovidinQ1

Retail trade

. .

TransDortation and warehousing ..
Information

............

Financial activities
Professional and business services .. ......
Education and health services ......................
Leisure and hosoitalitv
..............................

250
63
36
24
187
14.3
12.8
4

16

79
42
31

106
2
6
-3
104
8.2
14.6
5
14

83
12
10
-3
71
-12.3
6,1
-7
-8

188
44
20
25
144
-4.9
3.4
~9

31
23

38

17
47
11
59

12
-15

27
11
15

15

132
14
17
-7
118
24.9
10.0
2
14

155
26
26
-3
129
-4.4
-1.6
S
21

124
-18
4
-27
142
4.2
28.0
-4
22

300
62
43
14
238
44.2
8.1
4
15

122
21
26
-6
95
3.3
12.5

25

282
35
45
~8
247
18.8
5.5
4
10

44

100

-3

63

81

21

33

-1

9
14
32

62
24
23

27
25

34
18
-6

20
36

7
2

274
42
48
-9
232
26.6
17.5
15
14

22
10

8
39
23

24
12
-2

34
63
13

40
-6

33.7
40.7
4.5

33.7
40.6
4.6

33.7
40.4
4.5

33.8
40.5
4.4

33,8
40.4
4.4

130
1
13
-14
129
-5.6
13.7
-8

a

78
14
20
-7
64
10.7
9.6
-8
4

5

Hours of work2
33.8
41.0
4.6

Total private ,
Manufacturing

33,6
40.7
4.5

33.7
40J
4.6

33.7
40.9
4.6

33.8
40.8
4.6

33.8
40.7
4.5

33.7
40.5
4.5

33.7
40.5
4.5

Indexes of aggregate weekly hours (2002=100)2
Total private
Manufactunng

.

100.3
95.0

99.9
94.3

100.3
94.6

100.5
95.1

100.9
94.7

101.2
94.4

101.1
93.9

1012
93.9

101.5
94.2

101.8
94.0

101.9
93.6

102.5
93.8

102.6
93.6

$15.85
8.23
534.15

$15.90
8.24
535.83

$15.91
8.22
i536.17

$15.95
8.19
537.52

$16.00
8.16
540.80

$16.03
NA
541.81

i

Earnings'
Average hourly earnings, total private:
Constants982) dollars3
...........
Average weekly earnings, total private .........

$15.62
8.21
527.96

1
1ncludes other industries, not shown separately.
2
Data relate to production or nonsupervisory workers.
3

$15.64
8.20
525.50

$15.70
8.23
529.09

The Consumer Price Index for Urban Wage Earners and Clerical Workers
(CPI-W) is used to deflate this earnings series,
N A = not available.




$15.74
8.25
530.44

$15.77
8.25
533.03

$15.81
8.22
534.38
p

$15.82
8.21
533.13

= 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, all seasonally adjusted data from January 2001
forward are subject to revision.

Chart 1. Nonfarm payroll employment, seasonally adjusted, 2001-2005

Thousands
135,000

Thousands
135,000

132,500

132,500

130,000

130,000

127,500

127,500

125,000

125,000

122,500

122,500

120,000 -

120,000

117,500




, i , • , . , . , • . , , [ , ,

2001

2002

2003

2004

• i , , ,

117,500

2005

Chart 2. Unemployment rate, seasonally adjusted, 2001-2005

2001

2002

2003

2004

2005

NOTE: 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 population
controls. Beginning in January 2005, data in corporate revision m the population controls. These changes
affect comparability with data for prior periods.

HOUSEHOLD DATA
HISTORICAL
A-1. Employment status of the civilian nonimiti utional population 16 years and over, 1969 to date
(Numbers in thousands)
Civilian labor force
Year
and
month

Civilian
noninstitutional
populate

Employed
Number

Percent
of
population

Unemployed

Percent
of
population

Number

Number

Percent
of
labor
force

Not in
labor
force

Annual averages

1969,

134,335

80,734

60 1

77,902

58.0

2,832

3.5

53,602

1970....

1975....
197®....
1977....
1978 1
1979....

137,085
140,216
144,126
147,096
1S0,120
153,153
156,150
159,033
161,910
164,863

82,771
84,382
87,034
89,429
91,949
93,774
96,158
99,008
102,250
104,962

60.4
60.2
60.4
60.8
61.3
61.2
61.6
62.3
63.2
63.7

78,678
79,367
82,153
85,064
86,794
85,846
88,752
92,017
96,048
98,824

57.4
56.6
57.0
57.8
57.8
56.1
56.8
57.9
59.3
59.9

4,093
5,016
4,882
4,365
5,156
7,929
7,406
6,991
6,202
6,137

4.9
5.9
5.6
4.9
5.6
8.5
7.7
7.1
6.1
5.8

54,315
55,834
57,091
57,667
58,171
59,377
59,991
60f025
59,659
59,900

1980.
1981 .
1982 .
1983.
1984.
1985.
198® 1
1987.
1988.
1989.

167,745
170,130
172,271
174,215
176,383
178,206
180,587
182,753
184,613
186,393

106,940
108,670
110,204
111,550
113,544
115,461
117,834
119,865
121,669
123,869

63.8
63.9
64.0
64.0
64.4
64.8
65.3
65.6
65.9
66,5

99e302
100s397
99,526
100,834
105,005
107,150
109,597
112,440
114,968
117,342

59.2
59.0
57.8
57.9
59.5
60.1
60.7
61.5
62.3
63.0

7,637
8,273
10,678
10,717
8,539
8,312
8,237
7,425
6,701
6,528

7.1
7.6
97
96
7.5
7.2
7.0
6.2
5.5
5.3

60,806
61,460
62,067
62,665
62,839
62,744
62,752
62,688
62,944
62,523

1990 1 .
1991 ....
1992....
11993....
1994 1 .
1996....
1998....
1997 1 .
1998 1 .
1999 1 .

189,184
190,925
192,805
194,838
196,814
198,584
200,591
203,133
205,220
207,753

125,840
126,346
128,105
129,200
131,056
132,304
133,943
136,297
137,673
139,368

66.5
66.2
66.4
66.3
66.6
66.6
66.8
67.1
87.1
67.1

118,793
117,718
118,492
120,259
123,060
124,900
126,708
129,558
131,463
133,488

62.6
81.7
61.5
61.7
62.5
62.9
63.2
63.8
64.1
64.3

7,047
8,628
9,613
8,940
7,996
7,404
7,236
6,739
6,210
5,880

5.6
6.8
7.5
6.9
6.1
5.6
5.4
4.9
4.5
4.2

63,324
64,578
64,700
65,638
65,758
66,280
66,647
66,836
67,547
68,385

2000 1 ,
2001 ....
2002....
20031
2004 1 .

212,577
215,092
217,570
221,168
223,357

142,583
143,734
144,863
146,510
147,401

67.1
66.8
66.6
66.2
S6.0

136,891
^36 933
136,485
137,736

64.4
63.7
62.7
62.3
62.3

5,692
6,801
8,378
8,774
8,149

4.0
4.7
5,6
6.0
5.5

69,994
71,359
72,707
74,658
75,956

1971 ....
1972 1 .
1973 1
1974 ....

139,252

Monthly data, seasonally adjusted 2

2004:
May...........
June..........
July
August
September
November
December

222,967
223,196
223,422
223,677
223,941
224,192
224,422
224,640

147,018
147,386
147,823
147,676
147,531
147,893
148,313
148,203

65.9
66.0
66.2
66.0
85.9
66.0
66.1
66.0

138,846
139,158
139,639
139,658
139,527
139,827
140,293
140,156

62.3
62.3
62.5
62.4
62.3
62.4
62.5
62.4

8,172
8,228
8,184
8,018
8,005
8,066
8,020
8,047

5.®
5.S
5.5
5.4
5.4
5.5
5.4
5.4

75,950
75,809
75,599
76,001
76,410
76,299
76,109
76,437

200$:
January 3 .
February ..
March.......
April ....
May..........

224,837
225,041
225,236
225,441
225,670

147,979
148,132
148,157
148,762
149,122

65.8
65.8
65.8
66.0
66.1

140,241
140,144
140,501
141,099
141,475

62.4
62.3
62.4
62.6
62.7

7,737
7,988
7,656
7,663
7,647

5.2
5.4
5.2
5.2
5.1!

76,858
76,909
77,079
76,679
76,547

1
Not strictly comparable with prior years.
For an
explanation, see "Historical Comparability- under the
Household Data section of the Explanatory Notes and
Estimates of Error.
2
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 of
the revisions in the population controls used in the household
survey.

HOUSEHOLD DATA
HISTORICAL
A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1992 to date
(Numbers in thousands)
Civilian labor force
Civilian
noninstitutional
population

Sex, year,
and month

Employed
Number

Percent
of
population

Number

Unemployed

Percent
of
population

Number

Percent
of
labor
force

Not in
labor
force

Annual averages
MEN
1992
1993
19941
1995
1996
19971
19981
19991

,

20001
2001
2002
20031
20041

92,270
93,332
94,354
95,178
96,206
97,715
98,758
99,722

69,964
70,404
70,817
71,360
72,086
73,261
73,959
74,512

75.8
75.4
75.1
75.0
74.9
75,0
74.9
74.7

64,440
65.349
66,450
67,377
68,207
69,685
70,693
71,446

69.8
70.0
70.4
70.8
70.9
71.3
71,6
71.6

5,523
5,055
4,367
3.983
3,880
3,577
3,266
3,066

7.9
7.2
6.2
5.6
5.4
4.9
4.4
4,1

22,306
22,927
23,538
23,818
24,119
24,454
24,799
25,210

101,964
103,282
104,585
106,435
107,710

76^886
77,500
78,238
78,980

74.8
74,4
74.1
73.5
73.3

73,305
73,196
72,903
73,332
74,524

71.9
70.9
69.7
68.9
69.2

2,975
3.690
4.597
4,906
4,456

3.9
4.8
5.9
6.3
56

25,684
26,396
27,085
28,197
28,730

Monthly data, seasonally adjusted 2

2004:
May
June
July
Auaust
September
October
November
December

,
„

107,504
107,625
107,746
107,881
108,020
106,153
108,276
108,392

78,663
78,928
79,192
79,253
79,041
79,290
79,602
79,412

73.2
73.3
73.5
73.5
73.2
73.3
73.5
73.3

74,118
74,501
74,811
74,824
74,629
74,852
75,188
74,938

68.9
69.2
69.4
694
69.1
69.2
69.4
69.1

4,545
4,427
4,381
4,429
4,413
4,438
4,414
4,474

5,8
5.6
5.5
5.6
5.6
5.6
5.5
5.6

28,842
28,697
28,554
28,628
28,979
28,863
28,674
28,981

108,469
108,598
108,703
108,812
108,934

79,146
79,373
79,598
79,839
80,048

73.0
73.1
73.2
73.4
73.5

74,934
74,964
75,375
75,735
75,965

69.1
69.0
69.3
69.6
69.3

4,212
4,410
4,224
4,104
4,062

5.3
5.6

29,342
29,224
29,104
28,973
28,886

7.0
6.6
6.0

56.0
56 9
57.1
57.4

4,090
3,885
3,629
3,421
3,356
3,162
2,944
2,814

4.6
4,3

42,394
42,711
42,221
42,462
42,528
42,362
42,748
43,175

57.5
57.0
56.3
56.1
56.0

2,717
3,111
3,781
3,868
3,694

4.1
4.7
5.6
5.7
5.4

44,310
44,962
45,621
46,461
47,225

2005:
February

„„„„.„„„„,.

March
Aoril
May

.

5.3
5.1
5.1

Annual averages
WOMEN
1992
1993
19941
1995
1996
19971
19981
19991

....

20001
2001
2002
20031
20041

,

100,535
101,506
102,460
103,406
104,385
105,418
106,462
108,031

58,141
58,795
60,239
60,944
61,857
63,036
63,714
64.855

57.8
57.9
58.8
56.9
59.3
59.8
59.8
60.0

54,052
54,910
56,610
57,523
58,501
59,873
60,771
62,042

110,613
111,811
112,985
114,733
115,647

66,303
66,848
67,363
68,272
68,421

59.9
59.8
596
59.5
59.2

63,586
63,737
63,582
64,404
64,728

53.8
54.1
55.3

556

5.6
5.4
5.0

Monthly data, seasonally adjusted 2

2004:
May
June
Auaust
September
October
November
December

.-

«

2005:
January3

...

February
March
Aoril
May

,.

115,463
115,570
115,676
115,796
115,921
116,039
116,146
116,247

68,355
68,458
68,631
68,423
68,490
68,603
68,711
68,791

59.2
59.2
593
59.1
59.1
591
59.2
592

64,728
64,658
64,828
64,834
64,898
64,975
65,104
65,218

56.1
55.9
56.0
56.0
56.0
56.0
56.1
56.1

3,627
3,800
3,803
3,589
3.S92
3,628
3,606
3,573

5.3
5.6
5.5
5.2
5.2
5.3
5.2
5.2

47,108
47,112
47,045
47,373
47,431
47,436
47,436
47,456

116,348
116,443
116,534
116,629
116,736

68,832
68,759
68,559
68,923
69.075

59.2
59.0
58.8
59.1
59 2

65,307
65,180
65,127
65,364
65,490

56.1

3,525
3,579
3,432
3,558
3,585

5.1
5.2
5.0
6.2
5.2

47,516
47,684
47,975
47,706
47,661

* Not strictly comparable with prior years. For an explanation, see
"Historical Comparability" under the Household Data section of the Explanatory
Notes and Estfrnafes of Error.
z The population figures are not adjusted for seasonal variation.




560
559
56.0
56.1

3

2004 and*earftir yearsi because off the revisions in the population controls used
in the household survey.

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-3. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted
(Numbers in thousands)
Employment status,
sex, and age

2005

2004
May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.

May

TOTAL
Civilian noninstitutionaf population 1 .....
Civilian labor force , .
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force ..................
Persons who currently want a job.....

222,967 223,196 223,422 223,677 223,941 224,192 224,422 224,640 224,837 225,041 225,236 225,441 225,670
47,018 47,386 47,823 47,676 147,531 47,893 48,313 48,203 47,979 48,132 48,157 48,762 149,122
66.1
66.0
65.8
65.8
66.1
66.0
66.0
65.8
65.9
66.2
66.0
66.0
65.9
38,846 39,158 39,639 39,658 139,527 39,827 40,293 40t156 40,241 40,144 40,501 141,099 41,475
62.6
62.4
62.3
62.4
62.4
82.5
62.4
62.3
82.4
62.5
62.3
62.3
62.7
7,988
8,020
8,066
7,663
7r656
7,737
8,047
8,005
8,016
7,647
8,184
8,228
8,172
5.4
5.4
5.5
5.1
5.2
5.2
5.2
5.4
5.4
5.4
5.5
5.6
5.6
75,950 75t809 75,599 76,001 76,410 76,299 76,109 76,437 76,858 76,909 77,079 76,679 76,547
4,995
5,087
5,338
4,728
5,134
5,001
4,982
5,021
4,903
4,908
4,688
4,674
4,669

Men, 16 years and ovar
Civilian noninstitutional population 1 ..... 07,504
Civilian laborforce .............................. 78,663
73.2
Percent of population
74,118
Employed
68.9
Employment-population ratio..........
4,545
Unemoloved
. . ..... ...... . .
5.8
Unemployment rate ... ................
28,842
Not in laborforce ,..

07,625
78,928
73.3
74,501
69.2
4,427
5.6
28,697

07,746 107,881 108,020
79,192 79,253 79,041
73.2
73.5
73.5
74,811 74,824 74,629
69.1
69.4
69.4
4,413
4,429
4,381
5.6
5.6
5.5
28,979
28,554 28,628

99,396
75,361
75.8
71,575
72.0
3,786
5.0
24,035

99,512
75,567
75.9
71,830
72.2
3,737
4.9
23,945

08,153
79,290
73.3
74,852
69.2
4,438
5.6
28,863

08,276
79,602
73.5
75,188
69.4
4,414
5.5
28,874

08,392 108,489
79,412 79,146
73.0
73.3
74,938 74,934
69.1
69.1
4,474
4,212
5.3
5.6
28,981 29,342

08,598
79,373
73.1
74,964
69.0
4,410
5.6
29,224

08,703 108,812 108,934
79,598 79,839 80,048
73,5
73.4
73.2
75,375 75,735 75,985
69.8
69.6
69.3
4,062
4,104
4,224
5.1
5.1
5.3
29,104 28,973 28,886

M@n, 2® years and over
Civilian noninstitutional population 1 .....
Civilian laborforce
..............
Percent of copulation ....................
Employed
................................
Employment-population ratio..........
Unemployed ....................................
Unemolovment rate
Not in labor force ............................

99,279
75,095
75.6
71,226
717
3,869
5.2
24,184

99,642
75,615
75.9
71,847
72.1
3,768
5.0
24,026

99,776
76,462
75.6
71,701
71.9
3,761
5.0
24,314

99,904 100,017 100,126 100,219 100,321 100,419 100,520 100,634
75,632 75,866 75,754 75,594 75,816 75,921 76,173 76,439
75.8
76,0
75.6
75.6
75.4
75.7
75.9
75.7
71,895 72,134 72,020 72,029 72,131 72,429 72,817 73,100
72.6
72,4
72.1
71.9
71.9
72.1
71.9
72.0
3 492
3,356
3,685
3,339
3,565
3,733
3,733
3,736
4,4
4.6
4.9
4.4
4.7
4.9
4.9
4.9
24,272 24,151 24,372 24,625 24,505 24,498 24,347 24,195

Women, 16 yearn $md over
Civilian noninstitutional population 1 ..... 115,463 115,570 115,676 115,796 115,921 116,039 116,146 116,247 116,348 116,443 116,534 116,629 116,736
Civilian laborforce.............................. 68,355 68,458 68,631 68,423 ti.490 68,603 68,711 68,791 68,832 68,759 68,559 68,923 69,075
59.1
59.2
59.0
58.8
59.2
59.2
59.2
59.1
59.1
59.1
59.3
59.2
59.2
Percent of ooDulafion...................
Employed......................................... 64,728 64,658 64,828 64,834 64,898 64,975 65,104 65,218 65,307 65,180 65,127 65,364 65,490
56,1
56.0
55.9
56.0
56.1
56.1
56.1
56.0
56.0
56.0
56.0
55.9
56.1
Employment-population ratio
3,585
3,558
3,432
3,573
3,579
3,525
3,606
3,803
3,628
3800
3,502
3,589
3,627
Unemo!oved
................................
5.2
5.2
5.2
5.2
5.0
5.1
5.2
5.3
5.2
5,2
5.3
5.5
5.6
Un&molovment rale . . . . ..............
47,112 47,045 47,373 47,431 47,436 47,436 47,456 47,516 47,684 47,975 47,706 47,661
Mot in labor force ........................... 47t1Q8
Women; 20 yearn and over
Civilian noninstitutional population 1 .... 107,483 107,586 107,687 107,801 107,920 108,032 108,129 108,221 108,316 108,403 108,486 108,573 108,672
65,008 65,126 65,244 65,260 65,318 65,270 65,051 65,420 65,479
Civilian labor force
............. 64,803 64,989 65,085 64,909
60.3
60.3
60.0
60.3
60.3
60.3
60.2
60.3
60.2
60.2
60.4
60.4
60.3
Percent of population.....................
61,723 61,731 61,902 61,877 Si ,939 62,024 62,145 62,208 62,295 62,202 62,099 62,384 62,464
Employed
57,5
57.5
57.2
57.4
57.5
57.5
57.5
57.4
57.5
57.4
57.4
57.4
57.4
Employment-population ratio
3,015
3,036
2,952
3,068
3,023
3,051
3,099
3,102
3,069
3,032
3,183
3,259
3,080
Unemployed
4.6
4.6
4.5
4.7
4.6
4.7
4.7
4.8
4.7
4.7
4.9
5.0
4.8
linemolovfn^rit rate
Not in labor force ............................... 42,680 42,597 42,603 42,892 42,912 42,906 42,885 42,961 42,998 43,133 43,435 43,153 43,192
Both mxm$ 16 to i § years
Civilian noninstitutional population 1 ....
Civilian labor force
................
Percent of ooDulation
Employed ........................................
Employment-population ratio.........
Unemoloved
Unemolovmertt rate . ................
Not in labor force .............................
1

16,205
7,120
43.9
5,896
36.4
1,223
17.2
9,086

16,214
7,036
43.4
5,853
36.1
1,184
16.8
9,178

16,222
7,172
44.2
5,907
36.4
1,265
17.6
9,051

16,234
7,152
44.1
5,934
36.6
1,217
17.0
9.082

16,246
7,062
43.5
5,887
36.2
1,175
16.6
9,184

16,257
7,135
43.9
5,908
36.3
1,227
17.2
9,122

16,275
7,202
44.2
6,014
36.9
1,188
16.5
9,074

The population figures are not adjusted for seasonal variation.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.




16,293
7,189
44.1
5,927
36.4
1,262
17.6
9,104

16,302
7,066
43,3
5,917
36.3
1815O
16.3
9,235

16,317
7,046
43.2
5,811
35.6
1,235
17.5
9,271

16,332
7,185
44.0
5,973
36.6
1,212
16.9
9,147

16,347
7,168
43.9
5,897
36.1
1,271
17.7
9,179

16,364
7,204
44.0
5,911
36.1
1,293
17.9
9,160

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A~4. Employment status of the civilian noninstitutional 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
May

June

July

Aug.

2005
Sept.

Oct.

Nov.

Dec.

Jam.

Feb.

Mar.

Apr.

May

WHITE
Civilian noninstitutional population 1 . . .
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force

182,384 182,531 182,676 182,846 183,022 183,188 183,340 183,483 183,640 183,767 183,888 184,015 184,167
120,997 121,212 121,383 121,278 120,995 121,273 121,606 121,509 121,553 121,621 121,484 121,961 122,177
66.3
66.4
66.2
66.3
66.4
66.3
66.1
66.2
66.2
66.2
66.1
66.3
66.3
115,006 115,199 115,610 115,526 115,318 115,618 115,966 115,910 116,158 116,022 116,135 116,574 116,791
63.1
63.3
63.1
63.1
63.2
63.3
63.0
63.2
63.1
63.3
63.4
63.2
63.4
5,640
5,991
6,013
5,655
5,752
5,773
5,677
5,598
5,600
5,395
5,387
5,349
5,386
4.6
5.0
5.0
4.7
4.7
4.8
4.6
4.7
4.6
4.4
4.4
4.4
4.4
81,387 61,319 61,293 61,568 62,027 61,915 61,735 61,973 62,088 62,146 62,403 62,054 61,989

Men, 20 years and over
62,771
76.1
59,844
72.6
2,926
4.7

62,965
76.3
60,135
72.8
2,831
4.5

63,153
76.4
60,458
73,2
2,695
4.3

63,115
76.3
60,368
73.0
2,747
4.4

62,859
75.9
60,149
72.6
2,710
4.3

63,092
76.1
60,415
72.9
2,678
4.2

63,225
76.2
60,565
73.0
2,660
4.2

63,199
76.1
60,570
72.9
2,629
4.2

63,259
76.1
60,712
73.0
2,547
4.0

63,390
76.2
60,776
73.0
2,614
4.1

63,497
78.3
60,965
73.2
2,532
4.0

63,562
76.3
61,162
73.4
2,399
3.8

63,747
76.4
61,336
73.5
2,410
3.8

52,222
59.8
50,096
57.4
2,125
4.1

52,386
60.0
50,070
57.3
2,316
4.4

52,273
59.8
50,082
57.3
2,192
4.2

52,214
59.7
50,126
57.3
2,088
4.0

52,243
59.6
50,141
57.2
2,102
4.0

52,270
59.6
50,186
57.2
2,064
4.0

52,443
59.8
50,318
57.4
2,125
4,1

52,385
59.7
50,344
57.3
2,040
3.9

52,414
59.7
50,392
57.4
2,022
3.9

52,311
59.5
50,246
57.2
2,066
3.9

52,055
59.2
50,096
56.9
1,959
3.8

52,463
59.6
50,386
57.2
2,077
4.0

52,455
59.6
50,399
57.2
2,056
3.9

6,005
47.7
5,065
40.2
939
15.6

5,861
46.5
4,994
39.7
867
14.8

5,956
47,3
5,070
40.2
886
14.9

5,949
47,2
5,032
39.9
917
15.4

5,893
46.7
5,028
39.9
865
14.7

5,911
46.9
5,017
39.8
894
15.1

5,938
47.0
5,083
40.3
855
14.4

5,926
46.9
4,995
39.5
931
15.7

5 879
46.5
5,054
40 0
825
14.0

5,919
46.8
5,001
39.5
918
15.5

5,932
46.9
5,074
40.1
858
14.5

5,936
46,9
5,026
39.7
910
15.3

5,976
47.2
5,056
39.9
920
15.4

Civilian noninstitutional population 1 . . . 26,002
16,480
Civilian laborforce
63.4
Percent of population
14,837
Employed
57.1
Employment-population ratio
1,642
Unemployed
10.0
Unemployment rate
9,523
Not in laborforce

26,040
16,521
63.4
14,825
56.9
1,696
10.3
9,520

26.078
16,775
64.3
14,937
57.3
1,838
11.0
9,303

26,120
16,721
64.0
14,972
57.3
1,749
10.5
9,399

26,163
18,711
63.9
14,981
57.3
1,730
10.4
9,452

26,204
16,820
64.2
15,012
57.3
1,808
10.7
9,384

26,239
16,728
83.8
14,913
56.8
1,814
10.8
9,512

26,273
16,713
63.6
14,907
56,7
1,806
10.8
9,559

26,306
16,721
63.6
14,946
56.8
1,775
10.6
9,585

26,342
16,708
63.4
14,890
56.5
1,818
10.9
9,634

26,377
16,741
63.5
15,025
57.0
1,716
10.3
9,636

26,413
16,940
64.1
15,184
57.5
1,756
10.4
9,473

26,450
17,050
64.5
15,329
58,0
1,721
10.1
9,400

7,387
70.6
6,871
63.9
696
9.4

7,402
70.8
6,701
64.1
701
9.5

7,391
70.6
6,629
63.3
782
10.3

7,439
70.9
6,665
63.6
774
10.4

7,470
71.1
6,707
63.8
763
10.2

7,490
71.2
6,722
63.9
768
10.2

7f485
71.0
6,697
63.5
788
10.5

7,473
70.8
6,677
63 3
796
10.7

7,380
69.8
6,612
62.6
768
10.4

7,438
70.3
6,630
62.6
809
10.9

7,403
69.8
6,719
63.4
684
92

7,555
71.2
6,849
64.5
706
9.3

7,615
71.6
6,914
65.0
700
9.2

8,387
63.6
7,662
58.2
705
8.4

8,372
63.6
7,622
57.9
751
9.0

8,593
65.2
7,811
59.2
782
9.1

8,483
64.2
7,743
58.6
740
8.7

8,504
64.3
7,747
58.6
757
8.9

8,513
64.3
7,756
58.6
757
8.9

8,438
63.6
7,675
57.9
763
9.0

8,477
63.9
7,702
58.0
775
9.1

8,532
64.2
7,770
58.5
763
8.9

8,527
64.1
7,751
58.3
776
9.1

8,507
63.9
7,746
58.2
761
8.9

8,552
64.1
7,798
58.5
754
8.8

8,589
64.3
7,871
59,0
718
8.4

Civilian labor force
Percent of population
.
Employed
Employment-population ratio
Unemployed

.-

Unemployment rate
Women, 20 yearn and over
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Both sexes, 16 to 19 years
Civilian taborforce
Percent of population
Employed
Employment-population ratio
Unemployed
.....
Unemployment rate
BLACK OR AFRICAN AMERICAN

Men, 20 years and over
Civilian laborforce
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Women, 20 years and over
Civilian laborforce
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
See footnotes at end of table.




HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-4. Employment status of the civilian nonf nstitutional population by race, sex, age, and Hispanic or Latino ethnicity,
seasonally adjusted—Continued
(Numbers in thousands)
2004

Employment status, race,
sex, age, and Hispanic
or Latino ethnicity

May

June

July

Aug.

2005

Sept.

Oct.

NOV.

Dec.

Jan.

Feb.

Mar.

Apr.

May

BLACK OR AFRICAN
AMERtCAN-Contiruied
Both sexes, 16 to 19 years
Civilian labor force
Percent of population...
Employed
Employment-population ratio
Unemployed
Unemolovment rat©

.

746
30.9
504
20.9
241
32.3

746
30.8
502
20.8
244
32.7

791
32.6
496
20.5
294
37.2

799
32.9
584
23.2

27,968
19,297
69.0
17,959
64.2
1,338

28,059
19,302
68.8
18,013
64.2
1,289

28,150
19,432
69.0
18,102
64.3
1,330

28,243!
19,468

2.sa
2&.<S

737
30.3
526
21.6
211
28.6

818
33.6
534
21,9
283
34.7

804
33.0
542
22.2
263
32.7

763
31,2
528
21.8
235
30.8

803
33.0
564
23.0
244
30.2

742
30.2
509
20.7
233
31.5

831
33.8
560
22.8
271
32.6

833
33.8
537
21.8
296
35.5

846
34.3
543
22,0
303
35.8

28,338
19,444
68,6
18,079
63.8
1,366

28,431
19,524
68.7
18,213
64.1
1,311

28,520
19,552
68.6
18,238
63.9
1,313

28,608
19,544
68.3
18,252
63.8
1,292

28,642
19,379
67.7
18,198
63.5
1,181

28,729
19,458
67.7
18,211
63.4
1,248

28,815
19,541
67.8
18,425
63.9
1,117

28,902
19,665
68.0
18,413
63.7
1,252
6.4
9,237

28,989
19,761
68,2
18,578
64.1
1,183
6.0
9,228

HISPANIC OR LATINO ETHNICITY
Civilian ooninstitutionaS population 1 ...
Civilian labor force ........... . ........
Percent of population ......... ........
Employed
Employment-populate ratio
Unemployed
Unemployment rate
Not in labor force

&B,i
18,128
64,2:
1,335

6.9

6.7

6.8

6,1

7.0

6.7

6.7

6.6

6.1

6.4

5.7

8,671

8,756

8,718

8,7110

8,894

8,907

8,968

9,064

9,263

9,270

9,273

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 Utino 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.




HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-5. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, seasonally adjusted

(Numbers in thousands)
2004

2Q05

Educational attainment
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan.

Feb.

Mar

Apr.

May

Less than a high school diploma
12,275 12,399 12,449 12,554 12,742 12,502 12,722 12,814 12,575 12,581 12,501 12,474 12,798
44.8
45.3
45.1
45.3
45,0
45.6
46.1
45.0
44.7
45.4
45.3
45.0
44.6
11,207 11,326 11,417 11,531 11,608 11,471 11,703 11,746 11,637 11,595 11,528 11,429 11,802
40.9
41.3
42.3
41.2
41.3
41.3
41,6
41.0
41.9
41.5
41.4
418
40.8
1,133
1,032
1,074
1,068
1,031
1,019
1,068
1,023
973 1,045
986
996
938
8.9
8.3
8.7
8.0
8.2
8.7
8.2
8.3
7.8
7.8
7.5
78
8.4

Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
High school graduates, no college 1
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate

.

..

37,907 38,046 38,246 38,002 37,700 37,712 37,630 37,695 37,729 38,077 38,173 38,265 38,233
63.2
63.5
63.1
63,7
63.3
63,1
63.1
62.2
63.2
62.6
62,7
63.0
63.2
36,007 36,106 36,318 36,129 35,894 35,874 35,788 35,846 35 943 36,223 36,378 36,586 36,514
60.0
60.4
60.2
60.1
60.5
60.0
59.9
59.2
60.0
59.7
59.7
60.4
60.3
1,842
1,838
1,873
1,928
1,940
1,900
1,786
1,849
1,806
1,795
1,854
1,719
1,679
49
4.9
5.1
5.0
4.9
5.0
4,5
4.7
4.7
4.8
4.9
4,9
4.4

Some college or associate degree
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate

34,489 34,501 34,597 34,499 34,431 34,548 34,549 34483 34,524 34,842 34,863 34,860 34,699
72.3
72.4
72.2
73,1
72.4
73.0
71.8
72.1
73.2
72.9
71.5
72.6
72.9
33,109 33,064 33,141 33,096 33,037 33,112 33,051 32,995 33,117 33,387 33,484 33,489 33,351
70.3
70.0
69.3
68.8
69.3
70.3
69.1
68.5
69.6
70.0
69.4
69.2
70.0
1,348
1,407
1,498
1,435
1,371
1,394
1,455
1,455
1,436
1,380
1,487
1,404
1,380
3.9
4.1
4.3
3.9
4.0
4.2i
4.0
4,2
4.1
4.2
4.2
4.0
4.3

Bachelor's degree and higher 2
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate

40,084 40,130 40,145 40,219 40,471 40,772 41,131 41,026 40,907 40,534 40,395 40,788 40,913
777
78.5
77.4
77.5
78.7
77,8
78,0
77.8
78.4
77.8
77.8
77.7
77.4
38,924 39,048 39,062 39,152 39,438 39,744 40,090 40,009 39,925 39,563 39,411 39,784 39,916
75.7
76.7
75.8
76.2
76.5
75.8
75.8
76.5
75.7
75.7
75.5
75.6
75.2
985 1,004
1,018
972
1,033
982
1,041
1,027
1,083
1,068
1,083
997
1,160
2.5
2.5
2,4
2.4
2,4
2.5
2.5
2.6
2.7
2.7
2.7
2.9
2A

1

includes persons with a high school diploma or equivalent.
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.
2




10

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-6. Employed and unemployed full- and part-time workers by nex and age, seasonally adjusted
(Numbers in thousands)
Full- and part-time status,
sex, and age

2004
May

June

July

Aug.

2005
Sept.

Oct.

Nov.

Dec

Jan.

Feb.

Mar.

Apr.

May

EMPLOYED
Full-time workers
...
Men, 16 years and over
Men, 20 years and over.......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .

113,991 114,303 114,364 114,775 114,831 114,954 115,415 115,585 115,858
66,203 66,323 66,462 66,629 66,537 66,720 67,095 66,974 66,927
65,072 65,297 65,371 65,492 85,409 65,578 66,021 65,941 65,920
47,880 47,963 47,862 48,149 48,420 48,245 48,291 48,559 48,846
47,189 47,295 47,263 47,396 47,618 47,556 47,578 47,843 48,026
1,886
1,816
1,711
1,820
1,804
1,801
1,912
1,728
1,730

15,370 115,669
66,959 67,225
65,987 66,226
48,388 48,410
47,621 47,651
1,761
1,792

16,524 116,846
67,569 67,822
66,545 66,815
48,952 49,087
48,214 48,363
1,669
1,765

24,827
7,866
6,133
16,917
14,539
4,155

24,911
8,221
6,294
16,643
14,444
4,172

25,464
8,438
6,439
17,069
14,744
4,281

25,047
8,289
6,375
16,721
14,514
4,168

24,729
8,111
8,267
8,623
114,383
4,080

24,931
8,176
6,329
16,765
14,499
4,103

24,940
8,115
6,219
16,813
14,601
4,120

24,728
8,014
6,139
16,691
14,487
4,102

24,220
7,894
6,103
16,294
14,111
4,006

24,626
7,995
6,162
16,690
14,432
4,033

24,727
8,132
6,189
16,653
14,381
4,156

24,553
8,151
6,256
16,424
14,186
4,111

24,862
8,108
6,269
16,530
14,184
4,209

Looking for full-time work
Men, 16 years and over......
Men, 20 years and over......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .

6,882
3,919
3,617
2,922
2,671
595

6,764
3,737
3,473
2,961
2,747
543

8,791
3,786
3,480
2,992
2,684
626

6,639
3,840
3,472
2,821
2,547
620

8,733
3,853
3,520
2,881
2,622
592

6,611
3,818
3,459
2,802
2,557
596

6,570
3,784
3,445
2,803
2,552
573

6,637
3,798
3,444
2,837
2,598
595

6,400
3,647
3,324
2,743
2,512
563

6,569
3,743
3,378
2,821
2,552
640

6,224
3,574
3,211
2,650
2,476
537

6,315
3,511
3,113
2,807
2,559
643

6,195
3,416
3,084
2,765
2,507
604

Looking for part-time work ....
Men, 16 years and over .,....,
Men, 20 years and over......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .

1,361
618
274
728
423
664

1,439
637
301
793
495
643

1,392
592
265
819
495
632

1,377
602
298
780
472
606

1,295
575
256
717
457
581

1,461
635
279
826
540
642

1,432
625
274
795
549
609

1,417
677
302
749
445
670

1,343
574
249
769
513
580

1,419
648
291
760
511
617

1,406
657
270
747
469
666

1,371
613
254
767
475
642

1,463
657
273
843
502
689

Part-time workers
Men, 16 years and over......
Men, 20 years and over......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .
UNEMPLOYED

UNEMPLOYMENT RATES
Full-time workers
Men, 16 years and over......
Men, 20 years and over......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .

5.7
5.6
5.3
5.8
5.4
25.6

5.6
5.3
5.1
5,8
5.5
24.1

5.6
5.4
5.1
5.9
5.4
26.6

5.5
5.4
5.0
5.5
5.1
24.8

5.5
5.5
5.1
5.6
5.2
247

5.4
5.4
5.0
5.5
5.1
24.7

5.4
5.3
5.0
5.5
5.1
24.0

5.4
5.4
5.0
5.5
5.2
24.8

5.2
5.2
4.8
5.3
5.0
22.7

5.4
5.3
4.9
5.5
5.1
26.6

5.1
5.0
4.6
5.2
4.9
23.0

5,1
4.9
4.5
5.4
5.0
26.7

5.0
4.8
4.4
5.3
4.9
26,6

Part-time workers
Men, 16 years and over......
Men, 20 years and over......
Women, 16 years and over
Women, 20 years and over
Both sexes, 16 to 19 years .

5.2
7.3
4.3
4.1
2.8
13.8

5.5
7.2
4.6
4.5
3.3
13.4

5.2
6.6
3.9
4,6
3.3
12.9

5.2
6.8
4.5
4.5
3.2
12.7

5.0
6.6
3.9
4.1
3.1
12,5

5.5
7.2
4.2
4,7
3.6
13.5

5.4
7.1
4.2
4.5
3.6
12.9

5.4
7.8
4.7
4.3
3.0
14.0

5.3
6.8
3.9
4.5
3.5
12.7

5.4
7.6
4.5
4A
3.4
13.3

5.4
7.5
4.2
4.3
3.2
13.8

5.3
7.0
3.9
4.5
3.2
13.5

5.6
7.5
4.2
4.9
3,4
14.1

MOTE: Detaii for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning in
January 2005, data reflect revised population controls used in the household survey.




11

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-7, Employed persons by class of worker and part-time status, seasonally adjusted
(In thousands)
2004

2005

Category
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan.

Feb.

Mar

Apr.

May

2,301
1,283
987

2,291
1,267
1,021

2,273
1,241
1,014

2,305
1,265
1,014

2,221
1,213
970

2,155
1,194
921

2,212
1,204
952

2,179
1,185
963

2,120
1,181
904

2,145
1,208
903

2,187
1,224
948

2,252
1,207
1,023

2,220
1,229
959

CLASS OF WORKER
Agriculture and related industries
Wage and salary workers
Self-employed workers
Nonagricultural industries
Wage and salary workers
Private industries
Industries except private
households
Government
Self-employed workers

.

136,535 138,751 137,257 137,321 137,460 137,764 138,068 137,973 138,112 138,005 138,293 138,869 139,294
127,043 127,293 127,638 127,628 127,829 128,035 128,431 128,459 128,501 128,184 128,400 128,834 129,494
'. 107,256 107,269 107,887 107,508 107,692 107,823 108,120 108,257 108,219 107,978 108,085 108,353 108,697
106,509 106,494 107,134 106,686 106,910 107,090 107,360 107,492 107,414 107,162 107,286 107,534 107,908
19,814 20,003 19,841 20,117 20,166 20,213 20,309 20,270 20,296 20,106 20,249 20,429 20,779
9,505
9,630
9,473
9,529
9,379
9,709
9,481
9,416
9,768
9,895
9,702
9,767
9,514

PERSONS AT WORK PART TJME 1
All industries:
Part time for economic reasons
Slack work or business conditions
Could only find part-time work
Part time for noneconomic reasons

4,634
2,845
1,449
19,570

4,504
2,801
1,400
19,564

4,488
2,642
1,472
19,737

4,509
2,816
1,403
19,657

4,476
2,805
1,312
19,410

4,762
3,052
1,385
19,704

4,533
2,761
1,420
19,499

4,474
2,735
1,440
19t502

4,395
2,768
1,329
19,089

4,269
2,629
1,296
19,555

4,344
2,643
1,419
19,458

4,293
2,613
1,363
19,584

4,361
2,741
1,346
19,435

Nonagricultural industries:
Part time for economic reasons
Slack work or business conditions
Could only find part-time work
Pan time for noneconomic reasons

4,567
2,801
1,458
19,145

4,423
2,753
1,382
19,123

4,390
2,580
1,484
19,327

4,408
2,722
1,388
19,204

4,400
2,750
1,320
19,061

4,656
2,971
1,363
19,288

4,404
2,685
1,396
19,141

4,382
2,682
1,397
19,176

4,303
2,702
1,309
18,765

4,153
2,572
1,268
19,254

4,268
2,592
1,411
19,182

4,186
2.540
1,351
19,226

4,230
2,705
1,331
19,160

1
Persons at work excludes employed persons who were absent from their jobs
during the entire reference week for reasons such as vacation, illness, or industrial
dispute. Part time for noneconomic reasons excludes persons who usually work full
time but worked only 1 to 34 hours during the reference week for reasons such as
holidays, illness, and bad weather.




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
in January 2005, data reflect revised population controls used in the household
survey.

12

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-8. Employed persons by age, sex, and marital status, seasonally adjusted

(In thousands)
2004

2005

Age, sex, and marital status
May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.

May

AGE AND SEX
Total, 16 years and over.
16 to 19 years...........
16 to 17 years.........
18 to 19 years .........
20 years and over.....
20 to 24 years .........
25 years and over...
25 to 54 years.
25 to 34 years
35 to 44 years .....
45 to 54 years .....
55 years and over.
Men, 16 years and over.
16 to 19 years
16 to 17 years........
18 to 19 years
20 years and over.....
20 to 24 years.........
25 years and over...
25 to 54 years
25 to 34 years .....
35 to 44 years .....
45 to 54 years.....
55 years and over.

Women, 16 years and over,
16 to 19 years
16 to 17 years .........
18 to 19 years .........
20 years and over.....
20 to 24 years.........
25 years and over...
25 to 54 years .......
25 to 34 years.....
35 to 44 years.....
45 to 54 years.....
55 years and over.

138,346 139,158 139,639 139,658 139,527 139,827 140,293 140,156 140,241 140,144 140,501 141,099 141,475
5,908
6,014
5,853
5,887
5,907
5,934
5,897
5,917
5,811
5,973
5,927
5,896
5,911
2,189
2,149
2,267
2,240
2,261
2,149
2,121
2,235
2,286
2,141
2,088
2,339
2,249
3,711
3,739
3,691
38730
3,758
3,875
3,654
3,634
3,533
3,733
3,760
3,651
3,662
132,949 133,306 133,732 133,724 133,640 133,920 134,279 134,229 134,325 134,333 134,528 135,201 135,564
13,804
13,777
13,657 13,691
113,641 13,842 13,818 13,851 13,702 13,631 13,684 13,653 13,725
119,266 119,588 119,890 119,994 119,993 120,066 120,455 120,421 120,669 120,758 120,775 121,503 121,757
97,399 97,548 97,694 97,610 97,667 97,700 97,885 97,701 98,049 97,986 97,954 98,246 98,455
30,420 30,526 30,496 30,496 30,508 30,432 30,495 30,504 30,683 30,581 30,400 30,519 30,660
34,623 34,644 34,650 34,547 34,556 34,599 34,739 34,632 34,589 34,524 34,587 34,588 34,600
32,355 32,378 32,548 32,568 32,604 32,669 32,651 32,566 32,776 32,881 32,968 33,139 33,195
21,867 22,040 22,196 22,384 22,326 22,366 22,571 22,719 22,620 22,772 22,821 23,257 23,302
74,118

74,501

74,811

74,824

74,629

74,852

75,188

74,938

74,934

74,964

75,375

75,735

75,985

2,891
973
1,910
71,226
7,169
64,010
52,407
16,784
18,730
16,893
11,603

2,925
968
1,960
71,575
7,252
64,333
52,541
16,866
18,768
16,906
11,792

2,981
1,002
1,990
71,830
7,355
64,466
52,610
16,887
18,736
16,986
11,857

2,977
1,018
2,016
71,847
7,284
64,591
52,564
16,946
18,641
16,977
12,026

2,927
1,040
1,874
71,701
7,151
64,497
52,553
16,917
18,639
113,998
11,943

2,957
1,072
1,879
71,895
7,307
64,592
52,582
16,900
18,849
17,033
12,010

3,055
1,117
1,914
72,134
7,295
64,823
52,695
16,851
18,799
17,045
12,128

2,917
1,049
1,862
72,020
7,354
64,704
52,563
16,818
18,719
17,026
12,141

2,905
1,068
1,825
72,029
7,181
64,900
52,840
16,902
18,769
17,169
12,061

2,833
1,057
1,779
72,131
7,131
65,012
52,837
16,905
18,723
17,208
12,175

2,946
1,130
1,828
72,429
7,193
65,201
52,933
16,795
18,798
17,340
12,267

2,918
1,123
1,794
72,817
7,161
65,602
53,104
16,887
18,765
17,451
12,498

2,885
1,068
1,813
73,100
7,273
65,731
53,161
16,972
18,759
17,431
12,569

64,728

64,658

64,828

64,834

§4,898

64,975

65,104

65,218

65,307

65,180

65,127

65,364

65,490

3,005
1,168
1,823
61,723
6,487
55,255
44,992
13,636
15,894
15,462
10,264

2,927
1,120
1,799
61,731
6,439
55,255
45,008
13,660
15,876
15,472
10,248

2,926
1,147
1,788
61,902
6,450
56,424
45,084
13,609
15,913
15,562
10,340

2,967
1,103
1,859
61,877
6,493
55,404
45,046
13,550
15,906
15,591
10,358

,959
1,109
1,856
61,930
t 490
56,407
4lltl 114
13,591
115,917
10,606
10,363

2,951
1,118
1,831
62,024
6,535
55,474
45,118
13,532
15,950
15,636
10,356

2,959
1,123
1,826
62,145
6,523
55,633
45,190
13,844
15,940
15,606
10,443

3,010
1,212
1,830
62,208
6,497
55,716
45,138
13,686
15,912
15,540
10,578

3,012
1,199
1,809
62,295
6,521
55,769
45,209
13,782
15,820
15,608
10,560

2,978
1,229
1,754
62,202
6,400
55,746
45,149
13,676
15,800
15,673
10,597

3,028
1,209
1,823
82,099
6,491
55,575
45,021
13,604
15,789
15,628
10,554

2,980
1,112
1,860
62,384
6,491
55,901
45,142
13,632
15,822
15,688
10,759

3,026
1,181
1,849
62,464
6,452
56,026
45,293
13,688
15,841
15,764
10,733

44,763
34,538

44,958
34,487

44,948
34,607

45,099
34,494

45,093
34,704

45,127
34,808

45,462
34,961

45,315
34,878

45,171
34,739

45,351
34,601

45,382
34,307

45,482
34,539

45,725
34,747

MARITAL STATUS
Married men, spouse present
Married women, spouse present.....

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 in
January-2005, data reflect revised population controls used in the household survey.




13

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-9.

Unemployed persons by age, sex, and marital status, seasonally adjusted

(In thousands)
2004

2005

Age, sex, and marital status
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.

May

8,172

8,228

8,184

8,018

8,005

8,066

8,020

8,047

7,737

7,988

7,656

7,663

7,647

1,223
587
645
6,949
1,464
5T484
4,620
1,798
1,525
1,297
884

1,184
539
631
7,044
1,478
5,571
4,638
1,674
1,647
1,317
894

1,265
548
722
6,920
1,404
5,521
4,685
1,842
1,574
1,270
847

1,217
555
677
6,801
1,369
5,427
4,545
1,732
1,585
1,228
856

1,175
522
651
6,830
1,433
5,395
4,506
1,677
1,607
1,222
859

1,227
567
665
6,838
1,505
5,349
4,456
1,761
1,469
1,226
887

1,188
603
585
6,832
1,398
5,409
4,545
1,811
1,457
1,276

1,262
587
674
6,785
1,360
5,391
4,597
1,813
1,456
1,328
825

1,160
543
612
6,588
1,440
5,141
4,326
1,629
1,479
1,217
832

1,235
595
649
6,753
1,511
5,278
4,423
1,673
1,531
1,218
854

1,212
564
642
6,444
1,357
5,088
4,284
1,718
1,397
1,169
831

1,271
557
745
6,392
1,335
5,055
4,195
1,692
1,397
1,106
$49

1,293
564
716
6,354
1,325
5,027
4,265
1,652
1,412
1,200
779

4,545

4,427

4,381

4,429

4,413

4,438

4,414

4,474

4,212

4,410

4,224

4,104

4,062

676
294
381
3,869
823
3,066
2,568
1,078
802
639
498

642
278
370
3,786
842
2,954
2,424
865
878
681
530

645
270
376
3,737
789
2,948
2,477
961
826
690
471

660
285
387
3,768
810
2,953
2,458
938
840
680
495

652
269
379
3,761
838
2,923
2,443
930
849
664
460

701
304
403
3,736
827
2,909
2,401
930
786
685
508

681
334
333
3,733
791
2,919
2,449
960
804
686
470

741
336
403
3,733
728
2,969
2,531
1,024
792
716
438

647
302
349
3,565
819
2,734
2,247
829
752
366
487

725
352
382
3,685
907
2,810
2,336
896
797
643
474

732
336
388
3,492
770
2,747
2,290
914
754
622
458

748
321
446
3,356
754
2,595
2,135
895
691
549
460

723
310
409
3,339
733
2,622
2,236
874
746
616
386

3,627

3,800

3,803

3,589

3,592

3,628

3,606

3,573

3,525

3,579

3,432

3,558

3,585

547
293
264
3,080
641
2,418
2,052
721
723
608

542
261
261
3,259
635
2,616
2,213
809
769
636

620
278
346
3,183
614
2,573
2,209
881
748
580

557
270
290
3,032
559
2,473
2,087
794
745
549

523
253
271
3,069
595
2,472
2,064
747
758
558

526
263
262
3,102
678
2,441
2,055
831
683
541

507
269
252
3,099
607
2,490
2.096
851
654
590

522
251
271
3,051
632
2,422
2,066
789
664
613

502
241
263
3,023
621
2,407
2,078
800
727
552

510
243
267
3,068
605
2,468
2,086
777
734
575

480
228
254
2,952
587
2,341
1,994
804
643
547

523
236
299
3,036
581
2,460
2,060
797
706
557

570
253
307
3,015
592
2,405
2,029
779
666
584

1,443
1,178

1,465
1,334

1,483
1,249

1,423
1,235

1,386
1,120

1,393
1,121

1,432
1,236

1,434
1,227

1,430
1,157

1,402
1,140

1,390
1,064

1,247
1,169

1,258
1,129

AGE AND SEX
Total, 16 years and over
16 to 19 years
16 to 17 years
18 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
25 to 34 years
35 to 44 years
45 to 54 years
55 years and over
Men, 16 years and over
16 to 19 years.
16to17years
18 to 19 years
20 years and over
20 to 24 years
25 years and over.,
25 to 54 years
25 to 34 years
35 to 44 years
45 to 54 years
55 years and over

....

Women, 16 years and over
16 to 19 years
16to17years
18 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
25 to 34 years
35 to 44 years
45 to 54 years
MARITAL STATUS

Married men, spouse present
Married women, spouse present....

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 in
January 2005, data reflect revised population controls used in the household survey.




14

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-10. Unemployment rates by age, sex, and marital status, seasonally adjusted

(Percent)
2004

2005

Age, sex, and marital status
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan.

Feb.

Mar

Apr.

May

AGE AND SBC
Total, 16 years and over.
16 to 19 years...........
16 to 17 years .........
18 to 19 years..........
20 years and over.....
20 to 24 years.........
25 years and over...
25 to 54 years
25 to 34years .....
35 to 44 years .....
45 to 54 years .....
55 years and over,
Men, 16 years m$ over.
16 to 19 years...........
I 6 t o 17years.........
18 to 19 years.........
20 years and over.....
20 to 24 years .........
25 years and over...
2 5 t o 5 4 y e a r s . ...
25 to 34 years.....
35 to 44 years.....
45 to 54 years.....
55 years and over.
Women, 16 years and over
16 to 19 years .........
16to 17 years.......
18 to 19 years .......
20 years and over...
20 to 24 years.......
25 years and over.
25 to 54 years.....
25 to 34 years...
35 to 44 years...
45 to 54 years...

5.6

5.6

5.5

5.4

5.4

5.5

5.4

5.4

5.2

17.2
21.5
14.7

16.8
20.5
14.4

5.0
9.7
4.4
4.5
5.6
4.2
3.9
3.9

5.0
9.7
4.5
4.5
5.2
4.5
3.9
3.9

17.6
20.3
18.1
4.9

5.7
4.3
3.8
3.7

17,0
20,7
14.9'
4,8
0.0
4,3
4,4
5,4
4,4
3.8
3.7

16.6
19.6
14.9
4.9
9.5
4.3
4.4
5.2
4.4
3.6
3.7

17.2
20.6
15.2
4.9
9.8
4.3
4.4
5.5
4.1
3.6
3.8

16.5
21.2
13.5
4.8
9.2
4.3
4.4
5.6
4.0
3.8
3.7

17.6
20.6
15.4
4.8
8.9
4.3
4.5
5.6
4.0
3.9
3.5

16.3
19.3
14.4
4.7
9.5
4,1
4.2
5.0
4.1
3.6
3.5

5.8

5.6

5.5

5.6

5.6

5.6

5.5

5.6

19.0
23.2

18.0
22.3
15.9

18.1
21.9
16.1

18.2

20.6

3.8
4.0

16.8
5.0
10.5
4.3
4.4
5.2
4.4
3.8
3.9

19.2
22.1
17.7
4.9
10.2
4.3
4.4
5.2
4.0
3.9
4.1

18.2
23.0
14.8
4.9
9.8
4.3
4.4
5.4
4.1
3.9
3.7

9.2
4.4
4.6

5.4

5.2

5.2

5.1

17.5

3.6
3,6

16.9
19.4
15.0
4.6
9.0
4.0
4.2
5.3
3.9
3.4
3.5

17.7
19.9
16.9
4.5
8.9
4.0
4.1
5.3
3.9
3.2
3.5

17.9
20.0
16.3
4.5
8.8
4.0
4.2
5.1
3.9
3,5
3.2

5.3

5.6

5.3

5.1

5.1

20.3
24.3
17.8
4.9
9.0
4.4
4.6
5.7
4.1
4.0
3.5

18.2
22.0
16.1
4.7
10.2
4.0
4.1
4.7
3.9
3.7

20.4
25.0
17.7
4.9
11.3
4.1
4.2
5.0
4.1

3.9

3.6
3.7

19.9
22.9
17.5
4.6
9.7
4.0
4.1
5.2
3.9
3.5
3.6

20.4
22.2
19.9
4.4
9.5
3.8
3.9
5.0
3.6
3.0
3.5

20.0
22.5
18.4
4.4
9,2
3.8
4.0
4.9
3,8
3.4
3.0

20.6
15.5
4.8

10.0
4.2
4.3
S.2
4.2

10.3
4.6
4.7
6.0
4.1
3.9
4.1

10.4
4.4
4.4
4.9

4.5
3.9
4.3

17.8
21.2
15.9
4.9
9.7
4A
4.5
5,4
4,2
3.9
3.8

5.3

5.6

5.5

5.2

5.2

5.3

5.2

5.2

5.1

5.2

5.0

5.2

5.2

15.4
20.1
12.7
4.8
9.0
4.2
4.4
S.O
4,4
3.8

15.6
18.9

12.7
5.0
9.0
4.5
4.7
5.6
4.6
3.9

17.5
19.5
16.4
4.9
8.7
4.4
4.7
6.1
4.5
3.6

15.9
19.7
13,5
4.7

15.0
18.6
12.8
4.7
8.4
4.3
4.4
5.2
4.5

14.6
19.3
12.1
4.7
8.5
4,3
4.4
5.9
3.9

14.8
17.2
12.9

14.3
16.8
12.7

4.7

4.6

8.9
4.2
4.4

3.8

5.6
3.9
3.4

14.9
17.5
13.9
4.6
8.2
4.2
4.4
5.5
4.3
3.4

15.8
17.7
14.2
4.6
8.4
4.1
4.3
5.4
4.0

3.6

8.7
4.1
4.4
5.5
4.4
3.4

14.8
16.5
13.2
4.7
8.8
4.2
4.4
5.4
4.4
3,5

13.7
15.8
12.2
4.5
8.3
4.0
4.2

3.5

15.1
19.0
12.5
4.8
9.4
4.2
4.4
5.8
4.1
3.3

3.1
3.3

3.2
3.7

3.2
3.5

3.1
3.5

3.0
3.1

3.0
3.1

3.1
3.4

3.1
3.4

3.1
3.2

3.0
3.2

3.0
3,0

2.7
3.3

2.7
3.1

16.6
5.2

5.0

5.0
10.0
4.4
4.S

5.2
4.3

7.9
4.3
4.4
5.5
4.5
3.4

5.5
4.0

3.6

MARITAL STATUS
Married men,, spouse present......
Married women, spouse present,

NOTE: Beginning in January 2005, data reflect revised population controls used fn the household survey.




15

HOUSEHOLD DATA
SEASONALLY ADJUSTED
A~11. Unemployed persons by reason for unemployment, seasonally adjusted

(Numbers in thousands)
2004

2005

Reason
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan

Feb.

Mar.

Apr.

May

4,190
920

4,117
1,009
3,108

4,228
1,068
3,160

4,074
947
3,127
829
2,411
747

2,324
624

3,980
965
3,015
965
2,405
745

3,784
961
2,823
855
2,364
711

3,675
838
2,837
897
2,356
747

3,646
864

3,124
880
2,388
723

4,108
965
3,144
898
2,361
709

4,048
966

896
2,333
686

4,014
919
3,094
830
2,417
697

4,066
941

909
2,426
642

3,978
971
3,007
885
2,440
699

2,782
942
2,353
728

100.0
51.1
11.2
39.9
10.4
29.7
8.8

100.0
50.9
12.5
38.4
11.2
30.0
7.9

100.0
51.9
13.1
38.8
11.0
28.6
8.4

100.0
49.7
12.1
37.6
11.1
30.5
8.7

100.0
50.4
11.6
38.9
10.4
30.4
8.8

100.0
50.5
11.8
38.8
10.3
29.9
9.3

100.0
50.5
11.7
38.8
10.9
29.6
9.0

100.0
50.9
11.9
38.9
11.1
29.2
8.8

100.0
51.8
12.4
39.4
10.5
29.7
8.0

100.0
49.2
11.9
37.2
11.9
29.7
9.2

100.0
49.1
12.5
36.6
11.1
30.6
9.2

100.0
47.9
10.9
37.0
11.7
30.7
9.7

100,0
47,5
11.3
36,3
12.3
30.7
9.5

2.8
.6
1.7
.5

2.8
.6
1.6
A

29
.6

2.7
.6
1.7
.5

2.7
.6

2.8
.6

2.8

.6

2.7
.6

2.5
.6

16
.5

1.6
.5

1.6
.4

2.7
.7
1.6
.5

2.6
,6

1.6
.5

2.7
.6
1.6
.5

1.6
.5

1.8
,5

2.4
.6
1.6
,5

NUMBER OF UNEMPLOYED
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Job leavers
Reentrants
New entrants

3,270
855
2,437
723

3,082
819

PERCENT DISTRIBUTION
Total unemployed
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Job leavers
Reentrants
,
New entrants
UNEMPLOYED AS A PERCENT OF THE
CIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobs
Job leavers
Reentrants
,
New entrants

1.8
.5

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)
2004

2005

Duration
May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.

May

2,731
2,376
3,059
1,277
1,783

2,715
2,397
3,051
1,294
1,757

2,803
2,458
2,885
1,198
1,686

2,605
2,521
2,924
1,243
1,681

2,796
2,251
2,971
1,227
1,744

2,753
2,290
3,032
1.261
1,771

2,611
2,361
3,012
1,294
1,718

2,865
2,264
2,961
1,325
1,636

2,599
2,343
2,824
1,201
1,623

2,755
2,317
2,688
1,255
1,633

2,531
2,319
2,817
1,165
1,652

2,666
2,268
2,698
1,083
1,615

2,699
2,262
2,667
1,133
1,534

19.8
9.9

19.8
10.8

18.5
8.9

19.2
9.5

19.6
9.5

19.7
9.5

19.8
9.8

19.3
9.5

19.3
9.4

19,1
9.3

19.5
9.3

19.6
8.9

18.8
9.1

100.0
33.4
29.1
37.5
15.6
21.8

100.0
33.3
29.4
37.4
15.9
21.5

100.0
34.4
30.2
35.4
14.7
20.7

100.0
32.4
31.3
36.3
15.4
20.9

100.0
34.9
28.1
37.1
15.3
21.7

100.0
34.1
28.4
37.5
15.6
21.9

100.0
32,7
29.6
37.7
16.2
21.5

100.0
35,4
28.0
36.6
16.4
20.2

100.0
333
30.2
36.4
15.5
20.9

100.0
34.6
29.1
36.3
15.8
20.5

100,0
33.0
30.3
36.7
15.2
21.5

100.0
34.9
29.7
35,4
14.2
21.2

100.0
35.4
29.7
35.0
14.9
20.1

NUMBER OF UNEMPLOYED
Less than 5 weeks
5 to 14 weeks
15 weeks and over
15 to 26 weeks
27 weeks and over

,

Average (mean) duration, in weeks
Median duration in weeks
PERCENT DISTRIBUTION
Total unemdoved
Less than 5 weeks
5 to 14 weeks
15 weeks and over
15 to 26 weeks
27 weeks and over

.

NOTE; Beginning m January 2005, data reflect revised population controls used in the household survey.




16

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
(Numbers in thousands)
May 2005
Civilian labor force
Age, sex, and race

Civilian
noninstitutionai

Employed

population

Total

225,670
16,364

148,878

Percent
of
population

Unemployed

Percent
Total

of
population

Number

PercerA
of
labor
force

Not
in
labor
force

TOTAL
16 years and over.....
16to 19years .......
16 to 17 years .......
18 to 19 years .......
20 to 24 years
25 to 64 years ........
25 to 34 years
25to 29 years .....
30 to 34 years .....
35 to 44 years
35 to 39 years .....
40 to 44 years .....
45 to 54 years .......
45 to 49years ....,
50 to 54 years....
55 to 64years .......
55 to 59years .......

60to64years .......
65 years and over ..,
65 to 69 years
70to74years......
75 years and over

16 years and over .....
18to19 year*
16 to 17 years .......
18 to 19years .......
20to24years ........
25to 54years ........
25 to 34years ......
25 to 29 years.....
30to34 years .....
35 to44years .......
35 to 39 years....
40 to 44 years
45to54years ......
45 to49 years .....
50 to 54 years .....
55to64years
55 to59years .......
60 to 64 years .......
65 years and over ...
65 to 69 years ......
70 to74years .......
75 years and over

8,573
7,791

20,263
124,017
39,024
19,392
19,632
43,023
20,493
22,531
41,070
22,199
19,771
30,011
17,024
12,988
35,014
9,978
8,363

16,653

108,934
8,300
4,397
3,903
10,171
61,099
19,420
9,724
21,183
10,114
11,068

20,496
10,872

9,624
14,424
8,248

6,176
14,941

4,637
3,775
6,529

6,983
2,658
4,325
14,993
102,750

32,306
15,886
16,420

36,064
17,099
18,965
34,380
18,554
15,826
18,823
12,155

6,668
5,330
2,774
1,467
1,089

79,827
3,437
1,283
2,154
7,994
55,391
17,822
8,769
9,053
19,501
9,363
10,138
18,068
9,757
8,311
10,023
6,434
3,589
2,982
1,523
851

609

66.0
42.7
31.0
55.5
74.0
82.9
82.8
81.9
83.6
83.8
83.4
84.2
81.9
83.6
80.0
62.7
71.4
51,3
15.2
27.8
17.5
6.5

141,591
5,707
2,086
3,621
13,649
98,805
30,774
15,037
15,737
34,772
16,483
18,289

73.3
41.4
29.2
55,2
78.6
90.7
91.8
90.4
93.1
92.1
92.6
91.6
88.2
89.7
86.4
69.5
78.0
58.1
20.0
32.8
22.5
9.3

75,997
2,755
974

59.2
44.0
32.9
55.8
69.3
75.3
73.9
73.4
74.4
75.8
74.5
77.0
76.0
77.7
74.1
56.5
65.2
45.2
11.7
23.4
13.4
4.7

65,594
2,952
1,112
1,840
6,390
45,461
13,735
6,708
7,027
15,966
7,467
8,498
15,761
8,490
7,271
8,514
5,529
2,985
2,277
1,224
595
458

33,260
17,916
15,344
18,247
11,755
6,492
5,182
2,709
1,419
1,054

1,781

7,260
53,344
17,039
8,329
8,710
18,807
9,016
9,791
17,499
9,426
8,073

9,733
6,226
3,507
2,905
1,485
824

597

62.7
34.9
24.3
46.5
67.4
79.7
78.9
77.5
80.2
80.8
80.4
81.2
79.2
80.7
77.6
60.8
69.1
50.0
14.8
27.1
16.9
6.3

76,792
9,381
5,915
3,466
5,270
21,266
6,718
3,506
3,211

148
65
48
35

4.9
18.3
21.5
16.3
9.0
3.8
4.7
5.3
4.2
3.6
3.6
3.6
3.3
3.4
3.0
3.1
3.3
2.6
2.8
2.3
3.3
3.2

33.2
22.2
456
71.4
87.3
87.7
85.9
89.6
88.8
89.1
88.5
85.4
86.7
83.9
67.5
75.5
56.8
19.4
32.0
21.8
9.1

3,830
682
309
373
735
2,047
78-1
440
343
695
347
34*1
569
331
238
290
208
82
77
38
27
12

4.8
19.8
24.1
17.3
9.2
3.7
4.4
5.0
3.8
3.6
3.7
3.4
3.1
3.4
2.9
2.9
3.2
2.3
2.6
2.5
3.2
2.0

29,107
4,863
3,114
1,749
2,177
5f708
1,598
927
671
1S682
751
930
2,428
1,116
1,313
4,401
1,814
2,587
11,958
3,114
2,924
5,920

56.2
36.6
26.6
47.3
63.3
72.3
70.1
69.2
70.9
73.1
72.0
74.1
73.4
75,0
71.6
54.6
63.0
43.8
11.3
22.9
12,9
4.5

3,457
594
263
332
609
1,897
749
409
341
597
268
329
551
307
244
286
192
94
71
27
21
23

5.0
16.8
19.1
15.3
8.7
4.0
5.2
5.7
4.6
3.6
3,5
3.7
3.4
3.5
3.2
3.3
3.4
3.1
3.0
2.1
3.4
4.8

47,685
4,518
2,801
1,717
3,093
15,560
5,120
2,580
2,540
5,278
2,643
2,635
5,163
2,530
2,633
6,788
3,055
3,733
17,726
4,091
3,992
9,644

7,287
1,276
572
704

1,3-43
3,944
1,533
1,292
6116
676
1,120
638
462
576
400
176

3,394
3,566
7,591
3,645
3,946
11,188
4,868
6,320
29,684
7,205
6,916
15,564

Women
16years and over .....
16to19years ........
16 to 17 years .......
18 to 19 years..
20to24years ........
25to54years ........
25 to34years .......
25 to29 years .....
30 to 34 years .....
35to44years .......
35to 39years .....
40 to 44 years ....
45to54years .......
45 to49yean .....
50 to 54 y e a r s . . .
55to64years ........
55 to 59 years .,.,„
60 to 64 years...,,.
65 years and over ...
65to69 years...,.,
70to74years......
75 years wn& over

9,907
21,840
10,378
11,462
21,475
11,327
10,148
15,586
8,776
3,812
20,074
5,342

69,051
3,547
1,375
2,171
6,998
47,358
14,484
7,117
7,367
16,563
7,736
8,827
16,312
8,797
7,515
8,800
5,721
3,079
2,347
1,251

4,608

616

10,125

481

116,736
8,064
4,176
3,888
10,092
62,918
19,604

See footnotes at end of table.




17

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutionai population by age, sex, and race—Continued
(Numbers in thousands)
May 2005
Civilian labor force
Age, sex, and race

Civilian
noninstitutionai
population

Employed
Total

Percent
of
population

Total

Unemployed

Percent
of
population

Number

Percent
of
labor
force

Not
in
tabor
force

WHITE
16 years and over
16to19years
16 to 17 years
18to19years
20to24years
25 to 64 years
25 to 34 years
25 to 29 years
30 to 34 years
35 to 44 years
35 to 39 years
40 to44 years
45 to 54 years
45 to 49 years
50 to 54 years
55to64years
55 to 59 years
60 to 64 years
65 years and over
65 to 69 years
70 to 74 years
75 years and over

-

,

184.167
12,670
6,598
6,072
15,862
99,722
30,573
15,188
15,385
34,587
16,340
18,247
34,563
18,183
16,380
25,412
14,433
10,979
30,500
8,497
7,216
14,788

122,028
5,778
2,228
3,550
11,965
83,508
25,565
12,637
12,928
29,213
13,734
15,479
28,729
15,406
13,323
16,124
10,423
5,701
4,653
2,410
1,268

66.3
45.6
33.8
58,5
75,4
83.7
83.6
83.2
84.0
84 5
84.1

15.3
28.4
17.6

116.916
4,879
1,812
3,067
11,107
80,692
24,555
12,104
12,451
28,278
13,251
15,027
27,859
14,929
12,930
15,695
10,130
5,566
4,543
2,370
1,230

975

6.6

942

6.4

89,876
6,461
3,393
3,068
8,051
49,917
15,493
7,730
7,763
17,299
8,203
9,096
17,125
9,038
8,087
12,354
7,071
5,283
13r093
3,993
3,265
5,834

66,603
2,863
1,091
1,772
6,492
45,897
14,445
7,133
7,312
16,156
7,703
8,453
15,296
8,213
7,083
8,700
5,582
3,119
2,652
1,350

74.1
44.3
32.2
57.8
80.6

63,848
2,373

71.0
36.7
25.4
49.3
74.5
89.0
89.9
88.8

94,291
6,209
3,204
3,004
7,812
49,805
15,080
7,458
7,622
17,288
8,137
9,151
17,438
9,145
8,292
13,058
7,362
5,696
17,407
4,503
3,950
8,954

55,425
2,915
1,137
1,779
5,474
37,611
11,120
5,504
5,617
13,058
6,032
7,026
13,433
7,192
6,240
7,424
4,842
2,583
2,001
1,060

848
83.1
84.7
81.3
63.5
72,2

519

63.5
38.5
27.5
50,5
70.0
80.9
80.3
79.7
80.9

818
81.1
82.4
80,6
82.1
78.9

616
70.2
50.7

149
27.9
17.1

5,112

4.2

889
416
483
858

15.0
18.7
13.6

2,815
1,010

533
478
935
483
452
870
477
393
429
293
136
110
40
37
33

7,2
3.4
4.0
4.2
3.7
3.2
3.5
2.9

ao

3.1
29
2.7
2.8
2.4
2.4
1.7
2,9
3.3

62,139
6,892
4,370
2,522
3,897
16,215
5,007
2,551
2,456
5,374
2,606
2,768
5,834
2,777
3,056
9,288
4,010
5,278
25,848
6,086
5,948
13,813

Men
16 years and over ..
16to19years
16to 17 years
18 to 19 years
20to24years
25to54years
25to34 years
25 to 29 years
30 to 34 years
35 to 44 years
35 to 39 years
40 to 44 years
45 to 54 years
45 to 49 years
50to54 years
55to64years
55 to 59 years
60 to 64 years
65 years and over
65 to 69 years....
70to74 years
75 years and over

919
932
923
94.2
93.4
93.9
92.9
89.3
90.9

876
70.4
78.9
59.0
20.3
33.8
22.7

742
560

9.6

862
1,511
5,998
44,408
13,928
6,862
7,065
15,624
7,411
8,213
14,856
7,973
6,883
8,465
5,413
3,052
2,604
1333
720
550

910
90.3
90.3
90.3
86.7
88.2
851
68.5
76.6
57.8
19.9
33.4
22,1
9.4

2,755

490
229
260
493
1,489

517
271
246
532
292
240
440
240
200
235
168
67
48
17
21
10

4.1
17.1

210
14.7

7,6
3.2
3.6
3,8
3.4
3.3
3.8
2.8
2.9
2.9
2.8
2.7
3.0
2.1
18
13
2.9
17

23,272
3,598
2,302
1,296
1,559
4,020
1,048

597
451
1,143

501
643
1829

825
1,004
3,654
1,490
2,164
10,441
2,643
2,524
5,274

Women
16 years and over
16 to 19 years
16 to 17 years
18 to 19 years
20to24years
25to54years

.

25 to 34 years
25 to 29 years
30 to 34 years
35to44 years
35to39 years
40 to 44 years
45 to54 years
45 to 49 years
5010 54 years
55 to 64 years
55 to 59 years
60 to 64 years
65 years and over
65 to 69 years
70 to 74 years..,.
75 years and over

....

.....

58,8
47.0
35.5
59.2
70.1
75.5
73.7
73.8
73.7
75.5
74,1
76.8
77.0
78.6
75.3
56.9
65.8
45.3
11.5
23.5
13.3

526
415

4.6

See footnotes at end of table.




18

53,068
2,508

951
1,553
5,108
36,284
10,627
5,242
5,385
12,654
5,840
6,814
13,003
6,956
6,048
7,230
4,716
2,514
1,939
1,037

510
392

56.3
40.4
29J
518
65.4
72.9
70.5
70.3
70.7
73.2

718
74J
74.6
76.1
72.9
55.4
64.1
44.1

111
23.0
12.9

4.4

2,357

409
186
223
365
1,326

493
262
232
404
191
212
430
237
193
194
125
69
61
23
16
23

4.3
14,0
16.4
12.5

6.7
3.5
4,4
4.8
4.1
3.1
3.2
3.0
3.2
33

3.1
2,6
2.6
2.7
3.1
2.1
3.0
5.5

38,866
3,293
2,068
1,226
2.338
12,194
3,959
1,954
2,005
4,230
2,105
2,125
4,005
1953
2,052
5,634
2,520
3,114
15,407
3,443
3,424
8,539

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13* Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
May 2005
Civilian labor force
Age, sex, and race

Civilian
noninstifuifona!
population

Unemployed

Employed
Total

Percent
of
population

Total

Percent
of
population

Number

Percent
of
labor
force

Not
in
labor
force

BLACK OR AFRICAM AMERICAN
1© years and over.....
16to 19years ........
16 to 17 years .......
18 to 19years .......
20 to 24 years
25 to 64 years ..
25 to 34 years
.
25 to 29 years,....
30 to 34 years.,..,
35 to 44 years.......
35 to 39 years .....
40 to44 years.....
45 to 54years .......
45to49yearn ....
50 to 54years ....
55 to 64 years
55 to 59 years......
60 to 64 years .......
65 years and over ...
65 to 69 years.
70 to 74 years......
75 years and over

26,450
2,470
1,335
1,136
2,833
15,202
5,065
2,574
2,491
5,311
2,549
2,762
4,826
2,626
2,200
2,959
1,670
1,289
2,986
957
781
1,248

16,977
820

11,849
1,218
686

7,990

532

254
946
5,636
1,912

298
522
1,981
12,086
4,098
2,016
2,082
4,322
2,069
2,253
3,666
2,083
1,583
1,637
1,061

576
452
232
145
74

64.2
33.2
22.4
45.9
699
79.5
80.9
78,3
83.6
81.4
81.2
816
76.0
79.3
71.9
55.3
63.5
44.7
15.1
24.3
18.6
5.9

15,338
520
174
346
1,595
11,271
3,713
1,784
1,929
4,059
1,977
2,082
3,499
1,974
1,525
1,530
979
551
422
214
137
72

58.0
21.1
13.0
30.5
55.3
74.1
73.3
69.3
77.4
76.4
77.6
75.4
72.5
75.2
69.3
51.7
58.6
42.8
14.1
22.3
17,5
5.7

1,639
300
125
175
387
815
385
232
154
264
92
172
166
109
58
107
83
25
30
19
8
2

67.4
33.2
22.0
47.7
70.7
82.8
84.2
80.6
38.0
839
85.1
827
80.1
82.0
77.7
59.2
67.3
48.4
19,4
25.7
25.4
8_8

7,188
253
86
168
758
5,233
1,718
821
896
1,870
928
943
1,645
907
739
737
475
262
207
87
84
36

60.7
20.8
12,5
31.5
56,6
76.8
75.6
70.4
81.2
78.9
81.9
76.1
75.9
76.6
75.0
56.3
63.3
46.9
17.7
22.0
24.5
8.3

802
151
65
86
189
403
194
119
75
119
36
82
90
64
27
38
30
8
21
15
3
2

61.5
33.2
22.8
44.4
69.3
76.9
78.2
76.5
80.1
79.4
78.0
80.7
72.6
77.2
67.2
52.2
60,4
41.9
12.4
23.3
13.2
4,4

8,149
267
88
179
837
6,038
1,995
963
1,032
2,188
1,049
1,139
1.854
1,068
786
793
504
289
215
126
53
36

55.8
21.3
13.6
29.6
56,0
72.0
71.4
68,4
74.4
74.5
74.1
74.8
69.8
74.0
64.7
48.0
54.7
39.6
11.9
22.6
12.0
4.4

837
149
60
89
198
412
191
113
78
145
56
89
76
45
31
69
53
16
9
4
5

9.7
36,6
41.8
33.6
19.5
6.7
9.4
11.5
7.4
6,1
4.4
7.6
4.5
5,2
3,6
6,5
7.8
4.3
6.6
8.1
5.8

C1)

9,473
1,650
1,036
614
851
3,115
967
556
409
988
480
508
1,160
542
618
1,322
609
713
2,534
725
636
1,173

Men
16 years and over.....
16 to 19 years ....,.„
16 to 17 years .......
18to 19 years.......
20to24years ........
25to 54years ........
25 to 34years .......
25 to29years .....
30to34years .....
35 to 44 years .......
3S to 39 years
40to44years .....
45to54years .......
45 to 49 years .....
50 to 54 years „ . . ,
55to 64 years . . . . „ . ,
55 to59years .......
60 to 64 years......
65 years and over ...
65 to 69 years ......
70 to 74 years
.,
75 years and over

1,339
6,811
2,271
1,167
1,104
2,372
1,132
1,239
2,168
1,183
985
1,309

404
151

940
972
1,989
964
1,025
1,736
970

765
775

750

505

1159
1,172
398
343
432

270

14,601
1,253
649
604
1,494
8,391
2,794
1,407
1,387
2,939
1,416
1,522
2,058
1,443
1,215
1,650
920

8,987
416
148
268
1,035
6,450
2,186
1,076
1,110
2,333
1,105
1,228
1,930

730

306

1,813
,560
438
816

224
130
58
36

228
102
87
38

10.0
37.3
43.1
33,9
19.9
7,2
10,2
12,7
7.7
6.0
3.8
8.0
5,2
6.5
3.5
5.0
5.9
3.1
9.0
14.6
3.6

C1)

3,858
814
535
278
392
1,174
359
226
133
383
168
214
432
213
220
534
245
289
945
295
256
394

Women
16 years and over .....
16 to 19 years .......
16 to 17 years .......
13 to 19years ......
20to 24 years ........
25to 54years .......
25 to 34 years
25 to 29 years
30to34 years .....
35 to 44 years ......
35 to 39 years ....
40 to 44 years ....
45 to 54 years ......
45 to 49years ....
50 to 54 years....
55 to 64 years .......
55 to 59years......
60 to 64 years
65 years and over ...
65 to69years ......
70 to 74 years ......
75 f0@m and over

1,113
817
862
556

See footnotes at end of table.




19

9.3
35.8
40.5
33.3
19.1
6.4
8.7
10.5
7.0
6.2
5.0
7.3
3.9
4.1
3.8
8.0
9.4
5.3
4.1
3,0

5,615
837
501
336
459
1,941
608
331
276
605
311
294
728
329
398
789
364
424
1,589
429
380
780

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13.

Employment status of the civilian noninstitutional population by age, sex, and race—Continued

(Numbers in thousands)
May 2005
Civilian labor force
Age, sex, and race

Civilian
noninstitutional
population

Employed
Total

Percent
of
population

Total

Unemployed

Percent
of
population

Number

Percent
of
labor
force

Not
in
labor
force

ASIAN
16 years and over
16to19years
16to 17 years
18to19years.
20to24years

25to54years
25 to 34 years
25 to 29 years
30 to 34 years
35 to 44 years
35 to39 years
40 to 44 years
45 to 54 years
45 to49 years
50 to 54 years
55to64years
55 to 59 years

60 to 64 years
65 years and over
65 to 69 years
70 to 74 years
75 years and over

,

9,770
627
312
315
844
6,122
2,298
1,090
1,208
2,095
1,073
1.022
1,730
930
799
1,102
610
492
1,074
338
267
470

65.6
25.1
19.9
30.1
58.7
79.6
77.8
73.9
81.4
81.7
80.8
82.7
79.4
79.9
78.9
66.1
74.1
562
14.3
23.9
13.2
7.9

6,407
157
62
95
495
4,873
1,788
805
983
1,711
867
845
1,373
743
630
729
452
277
153
81
35
37

6,158
133

50
83
458
4,715
1,719

755
964
1,661
845

616
1,336
724
612
702
435

266
150
78
35
37

63.0
21.2
16.2
26.3
54.2
77,0
74.8
69.2
79.8
79.3
78.8
79.6
77.2
77.8
76.6
63.7
71.4
54.1
14.0
23.0
13.2
7.9

249
24
12
12
37
158
69
51
19
51
22
29
38
19
19
27
17
10
3
3

3.9
15.2
1
( )
12.8
7.5
3.2
3.9
63
1.9
3.0
2,5
3.5
2.7
2.6
2.9
3.7
&7
3.7
2.1
4.0

3,362
470
250
220
349
1,249
509
265
225
383
206
177
356
187
169
373
158
216
921
257
231
433

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 controis
used in trie household survey. Dash indicates no data or data that do not meet publication criteria.




20

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-14. Employment status of the Hispanic or Latino population by age and sex
(Numbers in thousands)
May 2005
Civilian labor force
Age and sec

Employed

Unemployed

Civilian
noninstitutional
population

Total

26,989
2,674
1,393
1,281
3,647
18,101
7,653
3,941
3,712
8,262
3,311
2,951
4,187
2,373
1,814
2,340
1,353
987
2,227
777
601
849

19,753
1,007
301
706
2,642
14,366
6,068
3,079
2,990
§,065
2,706
2,360
3,232
1,927
1,305
1,402
918
484
336
203
82
50

68.1
37.7
21.6
55.1
72.4
79.4
79.3
78.1
80.5
80.9
81.7
80.0
77.2
81.2
71.9
59.9
67.9
49.0
15.1
26.2
13.7
5.9

18,693
807
222
585
2,469
13,739
5,761
2,921
2,840
4,877
2,593
2,284
3,101
1,849
1,252
1,358
898
460
321
194
82
44

64.5
30.2
15.9
45.7
67.7
75.9
75.3
74.1
76.6
77.9
78.3
77.4
74.1
77.9
69.0
58.0
66.3
46.7
14.4
24.9
13.7
5.2

1,060
200
79
121
173
627
307
158
149
188
112

14,885
1,368
767
601
1,957
9,497
4,136
2,160
1,976
3,266
1,743
1,S23
2,095
1,199
896
1,113
682
432
949
348
255

11,924
546
168
378
1,650
8,736
3,871
2,007
1,864
3,036
1,635
1,401
1,329
1,094
735
819
525
294
173
115
35
24

80.1
39.9
21.8
62.9
84.3
92.0
93.6
92.9
94.3
92.9
93.8
92.0
87.3
91.2
$2.1
73.6
77.1
68.1
18.2
33.0
13.6
6.9

11,375
427
123
304
1,559
8,420
3,715
1,925
1,790
2r932
1,567
1,364
1,774
1,059
714
801
516
285
168
109
35
24

76.4
31.2
16.1
50.6
79.7
88.7
89.8
89.1
90.6
893
89.9
89.6
84.6
88.3
79.7
71.9
75.7
66.0
17.7
31.4
13.6
6.9

14,104
1,306
626
680
1,690
8,604
3,517
1,781
1,736
2,996
1,567
1,428
2,091
1,173
918
1,227
072
555
1,278
429
346
503

7,829
461
134
328
992
5,630
2,197
1,072
1,125
2,030
1,071
959
1,403
833
570
§83
393
190
183
89
48
27

55.5
35.3
21.4
48.2
58J
65,4
62.5
60.2
§4.8
67J
68.3
67.2
67.1
71.0
62,1
47.5
58.5
34.1
12.8
20.7
13.8
5.3

7,318
380
99
281
909
5,319
2,046
996
1,050
1,945
1,026
919
1,327
790
537
557
381
176
153
84
48
21

51.9
29.1
15.8
41.3
53.8
61.8
58.2
55.9
60.5
64.9
65,5
64.3
63.5
67.4
58.5
45,4
56.8
31.6
12.0
19.7
13.8
4.1

I

Percent
of
population

Total

Percent
of
population

Percent
of
labor
force

Number

Not
in
labor
force

HISPANIC OR LATINO ETHNICITY
16years and over
16 to 19yeara
IS to 17 years , .
... ... ........................
18 to 19 years
20to24years
. ............
25 to 54 years
25 to 34 years
25to29yearn
.....................
30to34years
........../....................
35 to44years ...............................................
35to39years ,
. .... ......................
40to44 years
. . . . . .... ........................
45to54years
.... .... ......................
45 to 49 years
50to 54 years .............................................
55to64years ...............................................
55 to 59 years
60to64years
65 vears and over ........................................
65to69years
.
„.....,.................
70to74 years
. . ...................
75 years and over ................

5.4
19.9
26.3
17.1
6.6
4.4
5.1
5.1
5.0
3.7
4.1
3.2
4.1
4.Q
4.1
3.1
2.2
4.8
4.7
4.8

9,236
1,667
1,092
575
1,005
3,735
1.585
862
722
1,196
605
591
955
446
509
938
435
503
1,891
574
518
799

548
118
44
74
90
316
156
82
74
104
68
36
56
35
21
18
9
9
5
5
-

4.6
21.7
26.4
19.6
5.5
3.6
4.0
4.1
4.0
3.4
4.1
2.6
3,0
3.2
2.3
2.3
1.7
3.2
3.1
4.7

2,961
823
600
223
307
761
265
153
112
230
108
122
266
106
161
294
156
138
776
233
220
322

512
82
35
46
83
311
151
76
75
85
44
40
76
43
33
25
12
14
10
4

6.5
17.7
26.3
14.2
8.4
5.5
6.9
7.1
6.6
4.2
4.1
4.2
5,4
5.2
58
4.4
2.9
7.3
6.3
4.8

6,275
845
492
352
697
2,974
1,320
709
610
966
497
469
688
340
348
644
279
366
1,115
340
298
477

132
78
54
44
21
23
16
10
6

SUNlft
16 vears and over
.
......................
16to 19years „ „ „ „ .
,.,.,„........,.„
,„
1$to 17 years . ...........................................
18to 19years ,. .....................................
20to24years , ...........................................
25to 54years ...............................................
25 to 34years . . . I . . . . , . , . . . . . . . . , . . . . . . . . . . . . . . . . * . . . . . . . . . .
25to29years
30 to 34 years
. , » . .......................
35 to 44 years .
.
....
35to39yeai$ ...........................................
40to44years .............................................
45 to 54 years ...................................... .........
45 to 49 years .............................................
50 to54years ..................
55to64years
55 to59years ...............................................
60to64years
65 years and over ..........................................
65to69years .............................................
70to74 years ................. .............................
75 years and over ......................................

Women
16to 19years .........................................
16 to 17 years .......................................
18to 19years
20to24years ...............................................
25to54years
................................
25to 34years . . .
25to29years ..........................................^
30to34years
...
35to 44years
35to39years
........................
40to44years
,.,....
45to 54years
,.
45to49years
50to54years ...........................................
55to64years
55to 59years ...
60 to64 years..............................................
65 years and over ......................
70to74years
75 vears and over

. ,
.

, . .................

6

I

whose ^ethnicity
Hispanic or Latino may be of any race. Beginning in January 2005, data reflect revised population controls used in the household
t Persons
P
i i t y is
i Jidentified
d t f f d as Hi
survey, bash indicates no data or data that do not meet publication criteria.




21

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-15. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic or Latino ethnicily
(Numbers in thousands)

Employment status, race,
and Hispanic or Latino
ethnicity

Men, 20 years and
over

Total

Women, 20 years and
over

Both sexes, 16 to 19
years

May

May

May

May

May

May

May

2004

2005

2004

2005

May

2004

2005

2004

2005

222,967
148,659
65.8
138,867
7,792

225,670
148,878
66.0
141,591
7,287

99,279
74,965
75.5
71,306
3,659

100,634
76,391
75.9
73,242
3,149

107,483
64,807
60.3
61,872
2,935

16,205
6,868
42.5
5,690
1,198
17.4
9,317

16,364
6,983

12,592
5P789
46.0
4,882

12,670
5J78
45.6
4,879

TOTAL
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force

108,672
65,505
60.3
62,642
2,863

5.3

4.9

4.9

4.1

4.5

4.4

76,308

76,792

24,314

24,244

42,676

43,167

182,384
120,703
66.2
115,049
5,654

184,167
122,028
66.3
116,916
5,112

82,476
62,698
76.0
59,957
2,741

83,415
63,740
76,4
61,475
2,265

87,315
52,216
59.8
50,210
2,006

88,082
52,509
59.6
50,562
1,947

427
5,707
1%276
18,3
9,381

White
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force

47

4.2

4.4

3.6

3.6

3.7

907
157

61,681

62,139

19,778

19,674

35,100

35,573

6,803

26,002
16,374
63.0
14,797
1,577

26,450
16,977
64.2
15,338
1,639

10,433
7,311
70.1
6,661

10,631
7,586
714
6,935
651
8.6
3,045

13,154
8,349
63.5
7,648

13,349
8,571
64.2
7,883

2,416

701
8.4

688
8.0

4,806

4,778

4,294
3,340
77.8
3,229
112
3.3
953

4,661
2,745
58 9
2,631

4,849
2,910
60.0
2,796

114
4,2

114
3.9

1,916

1,939

13,517
11t378
84,2
10,948
430
3.8
2,138

12,359
7,308
59.1
6,872

12,798
7,368
57.6
6,938

899
15,6
6,892

Black or African American
Civilian noninstitutional population ....
Civilian labor force
..,.-.
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force

9.6

97

650
8.9

9,629

9,473

3,122

9,486
6,188
65.2
5,926

9,770
6,407
65.6
6,158

4,220
3,283
77.8
3,142

262
4.2

249
3.9

3,299

3,362

141
4.3
938

27,968
19,254
68.8
18,037
1,217
6.3
8,714

28,989
19,753
68.1
18,693
1,060

714
29.6

488
226
31.7
1,701

2,470
620
33.2
520
300
36.6
1,650

Asian
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force

606
160
7
4.2
445

627
157
25.1
133
24
15.2
470

2,597
924
35.6
742
182
197
1,674

2,674
1,007
377
807
200
19.9
1,667

26.4

153

Hispanic or Latino ethnicity
Civilian noninstitutional population ....
Civilian labor force
Percent of population...
Employed
Unemployed
Unemployment rate
.
Not in labor force

13,011
11,022
84.7
10,423

5.4

599
5.4

9,236

1,989

436
6,0

430
5.8

5,051

5,431

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. 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

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-16. Employment status of the civilian noninstitutionai population 16 to 24 years of age by school enrollment, educational
attainment, sex, race, and Hispanic or Latino ethnicity
(Numbers in thousands)
May 2006
Civilian labor force
Enrollment status, educational
attainment, race, and
Hispanic or Latino ethnicity

Civilian
noninstitutionai
population

Employed
Tote)

Percent of
population

Unemployed
Looking
for
full-time
work

Looking
for
P^time
work

1,143
831
312

439
248
191

703
582
121

12,6
16.7
7.7

Total

Full
time

Part
time

Total

7,898
4,141
3,757

1,891
481
1,410

6,007
3,660
2,347

Percent
of
labor
force

TOTAL ENROLLED

20,372
13,432
6,940

9.04H
4,071!

4,069

44.4
37.0
58.6

Women"'

10,222
10,150

4,306.
4,738

42.1
46.7

4,210

1,029
882

2,659
3,348

617
526

243
196

373
330

14.3
11.1

Hfchschool............
College
,,»....<
FulMime students.,
Part-time students ,

11,223
9,149
7,837
1,313

3,788
5,272
4,164
1,1081

33.6
57.6
53.1
84.4

3,070
4,828
3,777
1,051

224
1,667
1,054
613

2,847
3,160
2,723
437

445
387
58

183
256
225
31

515
188
161
27

18.5
8.4
9.3
5.2

15,691
10,407
5,285

7,406
4,194
3,212

47.2
40.3
60.8

6,575
3,579
2,996

1,555
413
1,142

5,020
3,166
1,854

831
615

2116

322
180
143

509
435
74

11.2
14.7
8.7

7,898
7,793

3,520

44.6

3,069
3,506

847
708

2,222
2,798

451
380

177
145

274
234

12.8
9.8

8,674
7,018
6,055

3,152
4,254
3,411
844

36.3
60.6
56,3
87.6

2,642
3,934
3,118
816

194
1,362
864

2,448
2,572
2,254
318

510
321
293
28

129
193
177
17

381
127
116
11

16.2
7.5

2,931
1,961

1,015
498
517

34.6
25.4
53.4

787
340
447

236
51
185

551
289
262

223
153
70

77
45
31

152
113

22.5
31.8
13.6

yen ......
Women ,

1,438
1,493

502
514

34.9
34.4

391
396

122
114

110
118

38

281

73
79

22.0
23.0

High school............
College
Full-time students ..
Part-time students

1,716
1,215

969
246

403
612
427
185

23.5
50.4
44.1
75.1

262
525
362
163

27
209
123
86

235
316
239
77

142
87
66
21

39
31
8

103
48
35
13

35.1
14.2
15.4
11.5

1,058
585
473

337
129
208

31.8
22.0
44.0

300
107
194

61
12
50

239
95
144

37
22
14

22
12
10

10.9
17.3
6.9

552
506

158
179

28.7
35.3

134
167

38
23

96
144

25
12

12
9

15,6
6.7

431
627
562

241
185

22.2
38.5
33.0
1

79
221
174
48

61
34
27

79
160
140
21

17
20
12

7
15
9
6

17.5
8.2
6.2

Total, 16 to 24 years
161© 19years .......
20to 24 years .......

WHie
Total, 16 to 24 years
16to 19years .......
20to 24years .......
Men ......

Women ,
High school ............
College
Full-time students .,
Part-time students ,

86
3.3

Black or African American
Total, 16 to 24 years
16to 19years .......
20to24years .......

Asian
Total, 16 to 24 years
16 to 19 years
201©24years .......

Women ,
High school............
College
FuH-tim* students ..
Part-time students .

56

C )

1

Hispanic or Latino ethnicity
2,794
1,980
814

1,074
575

38.4
29.0
61.4

936
470
466

308
79
229

028
391
237

138
104
33

56
33
23

82
72
10

12.8
18.2

Mm o....
Women

1,390
1,405

519
555

37.3
39.5

443
494

172
136

271
357

76
62

34
22

42
40

14.7
11.1

High school............
College
..........
FuNtme students .,
Pan-time students .

1,722
1,073
797
275

414

240
816
53.6
78.9

323
613
404
209

40
268
133
135

283
345
271
74

90
47
40
8

33
23
17
8

57
25
22
2

21.9
7.2
8.9
3.6

Total, 16 to 24 years
16 to 19 years .......
20to 24years .......

443
217

See footnotes at end of table.




23

67

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-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—Continued
(Numbers in thousands)
May 2005
Civilian labor force
Enrollment status, educational
attainment, race, and
Hispanic or Latino ethnicity

Civilian
noninstttutional

Employed

Unemployed

Percent of
Total
Total

Full
time

Part
time

Total

Looking
for
fuH-tima
work

Looking
for
parttime
work

Percent
of
labor
force

TOTAL NOT ENROLLED
16,254
2,932
13,323

12,935
2,012
10,923

79.6
68.6
82.0

11,458
1,566
9,892

9f297
1,026
8,271

2,161
540
1,621

1,477
445
1,031

1,341
374
967

136
72
64

11.4
22.1
9.4

Men
Vvomen

8,248
8,006

7,126
5,809

86.4
72.6

6,327
5,132

5,469
3,828

1.304

799
877

744
597

55
80

11.2
11.7

Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3

3,908
6,470
4,229
1,648

2,514
5,204
3,695
1,521

64.3
80.4
87,4
92.3

2,070
4,596
3,345
1,447

1,637
3,685
2,685
1,291

434
912
660
156

401
555
312
73

43
53

351
74

17.7
11.7
9.5
4.9

12,841
2,263
10,578

10,337
1.584
8,753

80.5
70.0
82.7

9,410
1,300
8,111

7,653
6,798

1,757
4-15
1,312

927
284
642

835
234
601

92
50
41

9.0
18.0
7.3

Men
Women

6,614
6,227

5,834
4,503

88.2
72.3

5,302
4,108

4,583
3,070

719
1,038

532
395

492
343

40
52

9.1
8.8

Less than a high schoo! diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3

3,016
5,108
3,319
1,398

2,010
4,137
2,892
1,298

66.6
81.0
87.1
929

1.748
3,767
2,650
1,245

1,393
3,036
2,118
1,106

354
731
532
139

262
369
242
53

240
326
217
52

22
44
25
1

13.1
8,9
8.4
4.1

2,373
509
1,864

1,786
322
1,464

75.3
63.3
78.6

1,328
180
1,147

1,087
113
973

241
67
174

142
317

424
124
300

34
18
16

25.7
44.0
216

1,119
1,254

849
937

75.9
74.7

620
708

546
541

74
167

229
229

213
210

16
19

27.0
24.4

697
966
593
117

390
747
539
110

55,9
77.4
91.0
93.9

230
539
462
96

178
430
383

52
110
79

159
208
78
13

143
202
66
13

17
6
12

40.9
27.8
14.4
12.1

414
42
372

316
28
287

V)
77.3

76.3

291
27
264

221
13
208

70
13
57

25
2
23

25
2
23

Men
Women

181
233

166
150

91.5
G4A

158
133

135

23
47

8
17

8
17

4.7
11.2

Less than a high school diploma
High school graduates, no college 2 .....
Some college or associate degree .......
Bachelor's degree and higher 3

31
163
136
85

14
129
105
67

<)
79.1
77.6
79.8

14
125
88
64

6
98
62
54

26
26
10

4
17
3

4
17
3

3.1
16.5

3,527
694
2,833

2,575
433
2,142

73.0
62.3
75.6

2,340
337
2,003

1,988

351
85

235
96
140

200
74
126

36
21
14

1,936
1,591

1,677

86.6
56.5

1,544
795

1,397
591

147
204

133
103

122
78

11
25

1,589
1,302
526
109

1,056
994
434
91

66.5
763
825
83.0

953
905
394
87

812

141
137
70
3

103
89
41
3

86
77
33

17
12
7

Total, 16 to 24 years
16 to 19years
20to24 years

White
Total, 16to24years
16 to 19years
20 to 24 years

855

Black or African American
Total, 16 to 24 years
16 to 19years
20to24years
Men
Women

...

.....

Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
Asian
Total, 16 to 24 years
16to 19years
20 to 24 years

m

7.8

V)

8.0

V)

Hispanic or Latino ethnicity
Total, 16 to 24 years
16to 19years
20to24years
Men

Women

<•

»••••

Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3

1,736

768
323
85

9.1
22.1

6.5
7.9
11.4
9.7
8.9
9.3
3.8

American, and Asian) 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, am classified by ethnicity as well astoyrace. 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.

1 Data not shown where base is less than 75,000.
2 includes persons with a high school diploma or equivalent
a incudes persons with a bachelor's, master's, professional, and doctoral degrees.
NOTEIn the summer months, the educational attainment levels of youth not
enrolled in school are increased by the temporary movement of high schooland college
students inlo thai group. Estimates for the above race groups (white, black or African




252

24

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-17. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, sex, race, and Hispanic or
Latino ethnicity
(Numbers in thousands)
Some college or associate degree
High school
graduates,
no college 1

less than a
high school
diploma

Sex, race, and Hispanic
or Latino etinicity

Some college,
no degree

Total

Bach*Dior's
deg ree
and hi<3her2

Associate
degree

May
2004

May
2005

May
2004

Ma,
200S

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

12,497
45.6
11,522
42.0
976
7.8

13,077
46.3
12,174
43.1
904
6.9

37,799
62.9
36,042
60.0
1,757
4.6

38,299
63,3
36,710
60.7
1,582
4.1

34,191
72.3
32,898
69.5
1,293
3.8

34,439
72.6
33,192
70.0
1,247
3,6

22,301
70.3
21,402
67.5
899
4.0

22,126
70.4
21,251
67.6
875
4.0

11,890
76.3
11,497
73.7
394
3.3

12,313
76.9
11,940
74.6
372
3.0

40,252
77.8
39,168
757
1,084

41,087
111
40,152
76,0
935
2.3

7 399
58.3
7,368
54.4
531
6.7

8,289
59.6
7,821
56.3
468
5.6

20,512
73.4
19,483
69.8
1,030
5.0

21,188
16,844
79.0
74.1
20,292: | 16,181
75.8
71.0
683
871
4.1
4.1

16,905
79.3
16,376
76.8
529
3.1

11,267
76.9
10,786
73.8
481
4.3

11,199
77.4
10,826
74.8
373
3.3

5,576
83.6
6,375
80.6
201
3.6

5,706
83.2
5,550
81.0
156
2.7

21,770
82.6
21,184
80.3
586
2.7

22,040
827
21,493
80.6
547
2.5

4,598
33.1
4,154
29.9
444
9.6

4,788
33.4
4,352
30,4
436
9.1

17,286
53.8
16,559
51.5
727
4.2

17,136
53,7
16,426
51,4
711
4.1

17,347
66.8
16,737
64.4
610
3.5

17,534
67.2
16,816
64.4
718
4.1

11,034
64.7
10,616
62.3
418
3.8

10,927
64.4
10,425
61.5
502
4.6

6,314
70.8
6,122
68.6
192
3.0

6,607
72.2
6,390
69.9
216
3.3

18,482
72.8
17,984
70.8
498
2.7

19,046
727
18,659
71.2
388
2,0

10,121
46.6
9,396
43.3
725
7.2

10,521
47.3
9,886
44.4
635
6.0

31,054
62.3
29,780
59.8
1,274
4.1

31,292
62.5
30,184
60.3
1,107
3.5

28,161
71.8
27,240
69.5
920
3.3

28,379
72.2
27,472
69.9
907
3.2

18,175
69.7
17,550
67.3
625
3.4

18,100
69.9
17,467
67.4
633
3.5

9,986
76.1
9,691
73.8
295
3.0

10,279
76.7
10,005
74.7
274
2.7

33,485
77.4
32,656
75.5
829
2.5

34,093
77.4
33,388
75.8
705
2.1

1,492
38.2
1,306
33.4
186
12.5

1,718
41.3
1,511
36.4
207
12.0

4,915
66.1
4,548
61.1
367
7.5

5,192
68.5
4,797
63.3
395
7.6

4,183
74.9
3,901
69.8
282
6.7

4,146
74.4
3,902
70.0
243
5.9

2,948
73.3
2,727
67.8
221
7.5

2,830
72.8
2,658
68.4
172
6.1

1,235
79.1
1,174
75.2
61
4.9

1,316
77.9
1,245
73.7
71
6.4

3,165
82.6
3,025
78.9
140
4.4

3,120
81,3
3,013
78.5
107
3.4

501
46.9
471
44.1
30
6.0

477
44.9

1,042
62.6
985
59.2
57
5.5

1,014
61.5
990
60.0
24
2.4

963
73.1

1,005
75.1

606
75.7

614
73.8

357
69.1

391
77.3

2,998
75.6
2,905
73.3
93
3.1

3,259
767
3,163
74.4
97
3.0

5,619
63.2
5,222
58.7
397

5,890
61.9
5,565
58.5
325

4,538
74.4
4,322
70.8
216
4.8

4,582
75.3
4,404
72,4
178
3.9

2,216
81.3
2,156
79.1
60

2,247
81.8
2,168
78.9
79
3.5

TOTAL
Civilian labor force ..........................
Percent of population ...............
Employed
Employment-population ratio
Unemployed
. .... ...,... ...
Unemployment rate

27

mm
Civilian labor force
. ........
Percent of population.... ...
Employed
....................
Employment-population ratio
Unemployed
Unemployment rate

.

Women
Civilian labor force
,,..
....
P e r c e n t of DODulation
. . ..
Employed
Employment-population ratio
UnenvDloved
..
....................
UnentDlovment rate
. , .. ......
White
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Black or African American
Civilian labor force ..
Percent of copulation
... . ,.
Employed.......................................
Employment-population ratio .......
Unemployed ......
Unemployment rate .....................
Atian
Civilian labor force »
Percent of population...................
Employed. ....................................
Employment-population ratio
Unemployed
Unemployment rate .....................

457
43.0
20
4.1

Hispanic or Latin© ©thiiSeify
Civilian labor force
.................
Percent of copulation
Employed
Employment-population ratio.......
Unemployed ..................................
UnemDlovmenf rate
..............
1

7.1

5.5

I "

Includes persons with a high school diploma or equivalent
Includes persons with a bachelors, master's, professional, m6 doctoral
gre@s
NOTE: Estimates for the above race groups (white, black or African American,
2




937
71.1
26

3,191
80.1
3,074
77.1
117

3.7

958

594

580

343

377

71.6
47
4.7

74.2
12
2.0

69.8
33
5.4

66.4
14
3.9

74.6
14
3.6

3,385
78.1
3,281
75.7
105
3.1

2,244
80.2
2,158
77.1
86

2,387
78.0
2,313
75.6
74

947
70.8
916
77.1
31

3.8

3.1

3.3

998
78.5
968
76.1
30
3.0

27

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 wen as by race. Beginning in
January 2005, data reflect revised population controls used in the household survey,

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-18. Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnieify
(In thousands)
May 2005
Employed

Unemployed

Full-time workers

Part-time workers

At work

At work 2

Age, sex, race, and Hispanic
or Latino ethnicity
Total

1

35
hours
or
more

1to34
hours for
economic
or
noneconomic
reasons

Not
at
work

Total

Part time
Part time for
for
economic
noneconomic
reasons
reasons

Not
at
work

Looking
for
full-time
work

Looking
for
part-time
work

TOTAL

30
2,907
202
2,705
2,082
622

24,761
4,200
1,926
2,275
20,560
3,968
16,592
11,188
5,404

2,849
246
23
223
2,604
553
2,050
1,759
291

20,633
3,786
1,812
1,974
16,847
3,240
13,608
8,920
4,687

1,278
169
90
78
1,109
175
935
509
425

5,944
622
145
477
5,321
1,158
4,163
3,568
595

1,344
654
427
227
690
185
505
376
128

4,561
129
4,431
471
3,960
3,141
820

1,467
17
1,451
81
1,369
1,042
327

8,155
1,888
6,267
1,629
4,638
2,423
2,215

1,233
122
1,112
258
854
717
137

6,533
1,692
4.841
1,301
3,540
1,630
1,910

388
74
314
69
245
76
168

3,252
333
2,919
654
2,265
1,948
316

578
349
230
80
150
99
50

43,228
511
42,717
3,516
39,202
32,603
6,599

4,290
115
4,175
414
3,761
3,053
708

1,470
14
1,456
121
1,335
1,040
295

16,605
2,312
14,293
2,339
11,954
8,765
3,189

1,616
124
1,492
295
1,196
1,042
155

14,100
2,093
12,006
1,938
10,068
7D291
2,778

890
94
795
106
690
433
257

2,692
289
2,403
504
1,899
1,620
279

765
305
460
105
355
277
78

57,076
754
56,322
4,676
51,646
42,573
9,072

51,993
630
51,363
4,218
47,145
39,086
8,059

3,878
110
3,768
393
3,375
2,660
715

1,205
15
1,191
65
1,125
828
298

6,772
1,619
5,153
1,322
3,831
1,834
1,997

928
96
832
202
629
511
118

5,510
1,467
4,043
1,059
2,984
1,266
1,718

334
55
279
61
218
57
161

2,325
225
2,100
445
1,656
1,412
244

430
265
165
48
117
77
39

38,979
514
38,465
3,265
35,201
28,824
6,376

34,323
419
33,904
2,826
31,079
25,576
5,503

3,501
81
3,420
337
3,083
2,457
626

1,155
14
1,141
102
1.039
791
248

14,089
1,992
12,097
1,844
10.253
7,460
2,793

1,200
94
1,106
238
868
757
111

12,146
1,817
10,329
1,524
8,805
6,352
2,453

743
81
662
82
580
352
228

1,783
189
1,594
299
1,295
1,098
197

573
220
353
66
287
228
59

Men, 16 years and over
16 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over „

6,317
72
6,245
596
5,649
4,860
790

5,748
59
5,689
527
5,161
4,462

420
11
409
57
351
280
72

150
2
148
11
137
118
19

871
181
690
162
528
374
154

207
21
186
25
161
150
11

643
152
491
137
354
214
140

21
8
13

692
88
604
163
441
387
54

109
63
47
26
21
16
5

Women, 16 years and over
16 to 19 years
.
20 years and over
20 to 24 years

6,703
92
6,610
563
6,048
5,283
765

5,962
63
5,899
502
5,397
4,709
688

542
29
512
47
465
409
56

199

1,447
174
1,273
274
993
755
243

306
27
279
46
234
206
28

1,042
138
905
210
694
503
192

98
10
88
18
70
46
24

715
81
634
169
465
396

123
68
54
29
25
16
9

116,830
1,507
161
1.346
115,323
9,681
105,642
87,617
18,025

105,042
1,232
126
1,106
103,810
8,594
95,216
79,341
15,875

8,851
245
34
210
8,606
885
7,722
6,194
1,528

Men, 16 years and over
16 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over

67,842
867
66,975
5,631
61,344
50,921
10,423

61,814
721
61,093
5,079
56,014
46,738
9,276

Women, 16 years and over
16 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over

48,989
640
48,349
4,050
44,298
36,696
7,602

Total, 16 years and over
16 to 19 years
16 to 17 years
18 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over

....

2,937
30

White
Men, 16 years and over
16 to 19 years

20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over
\Afomen, 16 years and over
16 to 19 years
20 years and over
20 to 24 years
25 years and over
25 to 54 years
55 years and over
Black or African American

25 years and over
25 to 54 years
55 years and over

.....

199

14
185
164
21

See footnotes at end of table.




26

13
10
3

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-18. Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnicity—Continued
(Sn thousands)
May 2005
Employed'
Part-time workers

At work

At work 2

Age, sex, race, and Hispanic
or Latino ethnicity
Total

Unemployed

Full-time workers

35
hours
or
more

1 to 34
hours for
economic

or

Not
at

Total

work

noneconorrttc
reasons

Part time
Part time for
for
economic
noneconomic
reasons
reasons

Not
at

work

Looking
for
full-time
work

Looking
for
part-time
work

Asian

312
46
267
73
194
154
40

65
3
61
14
48
40
7

233
36
197
59
138
105
33

15
6
8
1
6
8

108
3
105
17
88
74
14

15
8
7
4
3
3

640
63
577
128
449
351
98

55
1
55
5
50
36
13

550
60
491
117
373
289
84

34
3
32
5
26
26

94
10
84
16
68
61
7

32
3
30

179
4
175
3
172
154
18

849
216
634
202
432
336

224
20
204
41
163
147
16

602
196
406
152
254
186
68

24

489
73
416
83
334
313
21

59
45

147
7
140
22
118
97
21

1,721
261
1,461
301
1,160
986
173

262
18
245
41
204
191
13

1,391
237
1,153
251
903
754
148

68
6

389
34
355
66
289
258
30

123
48
75
17
58
53
6

2,784
11
2,773
149
2,624
2t252
373

124
6
118
5
114
99
15

70

55 years and over ..........................

2,979
17
2,962
156
2,806
2,409
397

V¥omen, 16 years and over
16 to 19 years
20 years and over.............................
20 to 24 years
...........................
25 years and over....................
25 to 54 years ..............................
55 years m^ over.........................

2,227
8
2,219
101
2,118
1,802
317

2,038
8
2,029
91
1,938
1,657
281

115

75

115
7
108
93
15

75
2
73
51
21

Men, 16 years and over
16 to 19 years
20 years and over
.......
20 to 24 years
25 years and over ...........................
- 25 to 54 years ...............................
55 years and over....

10,526
212
10,315
1,357
8,957
3 085
873

9,646
187
9,459
1,237
8,222
7,423
798

702
21
680
117
564
507
57

Women, 16 years and over
16 to 19 years ......„..,.,......„.„„..
20 years and over.............................
20 to 24 years

5,596
119
5,477
808
4,869
4,333
537

4,967
108
4,858
522
4,337
3,859
478

483
4
478
64
414
376
38

Men, 16 years and over
16 to 19 years
20 years and over
20 to 24 years ....................

25 years and over
25 to 54 years ................................

70
2
68
58
10

30
20
10

Hispanic or Latino ethnicity

25 years and over...........................
25 to 54 years
55 years and over

1
Employed persons are Classified as full- or part-time workers based on their
usual weekly hours at ail jobs regardless of the number of hours they were at
work during the reference week. Persons absent from work also are classified
according to their usual status.
2
Includes some persons at work 35 hours or more classified by their reason
for working part time.




24
9
15
2
13

63
9
53
41
12

13
8
6
3
3

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 ait 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. Dash indicates no data or data that do not meet publication criteria.

27

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-19, Employed persons by occupation, sex, and age
(In thousands)

Men

Total
Occupation

16 years
and over
May
2004

Total
Management, professional, and related occupations
Management, business, and financial operations occupations
Management occupations
Business and financial operations occupations
Professional and related occupations
Computer and mathematical occupations
Architecture and engineering occupations
Life, physical, and social science occupations
Community and social services occupations
Legal occupations
Education, training, and library occupations
Arts, design, entertainment, sports, and media occupations.
Healthcare practitioner and technical occupations

16 years
and over

Women
20 years
and over

16 years
and over

20 years
and over

May
2004

May
2005

May
2004

May
2005

2004

May
2005

May
2004

May
2005

138,867 141,591

74,089

75,997

71,306

73,242

64,778

65,594

61,872

62,642

49,249
20,082
14,396
5,686

23.992
11,696
9,140

24,253
11,627

24,088
11,599

24,617
8,523

24,996

9,025
2,574

29,167
3,232
2,886
1,385
2,139
1,596
8,437
2,748

12,296
2,165

23,870
11,680
9,126
2,554
12,190
2,154
2,374
747

5,449
3,073
16,095
747
394

8,455
5,347
3,109
16,541
880
400

866

850

813
2,162
1,376
1,698

819
2,106
1,375
1,723

513
1,374
758
6,181
1,189
4,941

1,288
777
6,291
1,305
5,018

24,434
8,507
5,437
3,070
15,927
744
394
513
1,360
758
6,096
1,161
4,902

24,822
8,424
5,328
3,096
16,397
880
400
584
1,278
777
6,218
1,261
5,001

8,815

795

13,178
2,622
532
4,286
2,110
3,629

13,274
2,690
626
4,295
2,054
3,608

11,959
2,536
488
3,455
2,057
3,422

12,029
2,620
585
3,435
1,999
3?390

48,610
20,219
14,589

5,630
28,391
2,912
2,773
1,269
2,249
1.571

8,356
2,605
6,656

May
2005

2,556
2,379
756

9,050
2,577
12,626

2,352
2 486

6,745

875
813
2,175
1,417
1,716

801
851
819
2,146
1,443
1,728

12,489
2,343

2,476
798

584

Service occupations
Healthcare support occupations
Protective service occupations
Food preparation and serving related occupations
....
Building and grounds cleaning and maintenance occupations
Personal care and service occupations

22,840
2,911
2,542
7,658
5,207
4,522

23,056
3,015
2,822
7,638
5,080
4,502

9,662
289
2 010
3,373
3,097
893

9,783
324
2,196
3,343
3,026
894

8,670
270
1,977
2,721
2,930
772

Sales and office occupations
Sales and related occupations
Office and administrative support occupations

35,162
15,742
19,420

35,875
16,612
19,263

12,949
8,160
4,789

13,396
8,534
4.862

12,195
7,696
4,499

12,619
8,103
4,516

22,213
7,582
14,631

22,479
8,078
14,401

20,882
14,202

21,103
7,202
13,901

Natural resources, construction, and maintenance occupations
Farming,fishing,and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations

14,336
1,012
8,285
5,039

15,339

H634

9,161
5,218

13,677
789
8,108
4.780

13,266
733
7,844

14,247
660
3,682
4,905

659
223
176
260

704
247
239
218

621
189
174
259

672
222
233
217

Production, transportation, and material moving occupations...
Production occupations
Transportation and material moving occupations

17,919
9,351
8,568

18,071
9,545
8,527

13,809
6,564
7,245

13,931
6,714
7,217

13,473
6,554
6,918

4,110
2,787
1,323

4,141
2,831
1,310

3,975
2,724
1,252

4,016
2,757
1,259

959

712
8,923
5,000

NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.




28

4,689
13,305
6,414

305
2.156
2,695
2f865

6,680

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex
(Percent distribution)
Women
Occupation, race, and Hispanic or Latino ethnicity

May

May

May

May

2004

2005

2004

2005

May
2004

May
2005

138,867
100.0

141,591
100.0

74,089
100.0

75,997
100.0

64,778
100.0

65,594
100.0

35.0
14.6
20,4
16.4
25.3
11.3
14.0
10.3
6.0
3.6
12.9
6.7
6.2

34.8
14.2
20.6
16.3
25.3
11.7
13.6
10.8
.7
6.5
3.7
12.8
6.7
6.0

32.4
15.8
16.6
13.0
17.5
11.0
6.5
18.5
1.1
10.9
6.5
18.6
8.9
9.8

31.9
15.3
16.8
12.9
17.6
11.2
6.4
19.3
.9
11.7
6.6
18.3
8.8

38.0
13.2
24.8
20.3
34.3
11.7
22.6
1.0
.3
.3

9.5

6.3
4.3
2.0

38.1
12.9
25.2
20,2
34.3
12.3
22,0
1.1
A
A
.3
6.3
4.3
2.0

115,049
100.0

116,916
100.0

62,371
100.0

63,848
100.0

52,678
100.0

53,068
100,0

35.6
15.1
20.4
15.4
25.5
11.7
13.8
11.0
.8
6.5
3.7
12.5
6.6
5.9

35.5
14.9
20.6
15.2
25.4
12.0
13.4
11.6
7.0
3.8
12.3
6.6
5.8

32.8
16.6
16,2
12.2
17.4
11.4
6.0
19.5
1.1
11.8
6.6
18.1
8.8
9.3

32,5
16.2
16.3
12.0
17.5
11.5
5.9
20.4
1.0
12.6
6.3
17.7
8.7
9.0

38.8
13.4
25.4
19.3
35.0
12.0
23.0
1.0
.4
.3
.3
5.9
4.0
1.9

39.0
13.3
25.8
19.1
34.9
12.5
22.4
1.1
.4
A
.3
5.9
4.0
1.9

14,797
100.0

15,338
100.0

6,868
100.0

7,188
100.0

7,929
100.0

8,149
100.0

27.6
9.9
17.7
23.8
25.4
9.5
15.9
6.8
.3
3.4
3.1
16.4
7.3
9.0

26.4
9.6
16.9
23.5
25.9
10.1
15.8
7.4
.3
4.1
3.0
16.8

22.8
8.8
14.0
20.3
17.8
8.4
9.4
13.4
.6
3.9
5.9
26.6
9.9
16.8

21.7
8.8
12.9
19.0
18.3
8.7
9.6
14.6
3
8.3
5.8
26.4
10.2
16.3

31.7
10.8
20.9
26.9
32,0
10.4
21.5
1.1
.1
.3

30.7
10.3
20.4
27.4
32.6
11.4
21.2
1.0
.2
.3
.5
8.3
5.6
2.7

TOTAL
Total, 16 years and over (thousands).
Percent
....
Management, professional, and related occupations ....
Management, business, and financial operations occupations
Professional and related occupations
Service occupations .,
...
;.............
Sales and office occupations
...
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations .
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations
Production occupations ........................
Transportation and material moving occupations

.7

.4

White
Total, 16 years and over (thousands).

Percent
Management, professional, and related occupations
Management, business, and financial operations occupations
Professional and related occupations
Service occupations
..................
Sales and office occupations
...............................
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations .
Farming, fishing, and forestry occupations
Construction and extraction occupations ...................................
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations.....
Production occupations
......................~
Transportation and material moving occupations...

.7

Black or African American
Total, 16 years and over (thousands).
Percent
Management professional, and related occupations
Management, business, and financial operations occupations
Professional and related occupations..........'.......................
Service occupations
...........................................
Sales and office occupations
Sales and related occupations
.........
Office and administrative support occupations
Natural resources, construction, and maintenance occupations .
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations .....
Production occupations
Transportation antS material moving occupations....

See footnotes at eod of table.




29

7.7
9.1

.7
8.4
5.1
3.2

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex—Continued
(Percent distribution)

Men

Total
Occupation, race, and Hispanic or Latino ethnicity

Women

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

5,926
100.0

6,158
100.0

3,216
100.0

3,291
100.0

2,710
100.0

2,867
100.0

457
16.3

46.2

48.0
16.7

46.4

42.9
15.8
27.2
20.4

46.1

Asian
Total, 16 years and over (thousands)
Percent
Management, professional, and related occupations
Management, business, and financial operations occupations
Professional and related occupations
Service occupations
Sales and office occupations
Sates and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations....
Production occupations
Transportation and material moving occupations

29.4

14.0
32.2

16.3
22.8
9.9
12.9
4.1
.3
1.1
2.7
11.1
7.7
3.4

16.4
22.7

18,037
100.0
17.0
6.8
10.2
24.5
21.0
9.1
11.9
18.3
2.2
11.9
4.1
19.2
10.7
8.5

11.6
11.1
4.3
.2

1.6
2.5
10,3
7.3
3.0

31.3
12.8
19,0
10.3
8.7

6.9
.4
1.9
4.6
13.2

13.3
33.1
14,2
19.5
12.0
7.5
7.3
.2
3.1
4.1

12.6

27.2
9.4

14.8
312
18.9
26.5
11.2

17.9
.8
.2
.2
.4

15.2
.9
.3

8.6
7.6
1.1

7.6
6.2
14

7.9
5.3

8.3
4.4

18,693
100.0

10,847
100.0

11,375
100.0

7,191
100.0

7,318
100.0

17.2
7.3
9.9
23.8
21.1
9.2
11.9
18.8
2.0
12.8
4.0
19.2
11.0
8.2

13,0

13.2

6,2
6.8
20.3

6.7
6.5

23.0
7.7
15.3

23,3
8.2
15.1
30.1
315
12.1
19.4
2.1
12
.7
.3
13.0
9.2
3.8

Hispanic or Latino ethnicity
Total, 16 years and over (thousands)
Percent
Management, professional, and related occupations
Management, business, and financial operations occupations
Professional and related occupations

Service occupations
Sates and office occupations
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations
Farming, fishing, and forestry occupations...
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations ....

Production occupations
Transportation and material moving occupations

6.5
23.3
12.2
11.0

19.8
14,4
7.3
7,1

30.9

29.5
2.5
20.6
6.3

31.1
119
19.3
19
12
.2
.4

23.1
12.1
11.0

13.1
6.3
4J

as by race. 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.

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




143
7.3
7.0
29.1
2.9
19.7

30

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED

A-21. Employed persons by industry and occupation
(in thousands)
May 2005
Management,
professional,
and related
occupations
Industry

Agriculture, forestry,
fishing, and hunting ........
Mining
Construction
Manufacturing ...................
Durable goods
Nondurable goods ..........
Wholesale and retail
trade
Wholesale trade
....
Retail trade .....................
Transportation and
utilities..
Information
financial activities ............
Professional and business
services
.....................
Education and health
services
Leisure and hospitality......
Other services ..................
Other services, except
private households ......
Private households
Public administration .......

Total
employed

Management,
business,
and
financial
operations
occupations

Professional
and
related
occupations

Service
occupations

Service
Protective
occupaservice
tions,
occupaexcept
tions
protective

Sales and office
occupations

Sales
and
related
occupations

Office
and
administrative
support
occupations

Natural resources,
construction, and

maintenance occupations

Farming,
fishing,
and
forestry
occupations

Construction
and
extraction
occupations

Production, transportation, and
material moving
occupations

Installation,
maintenance,
and
repair
occupations

Production
occupations

30
37
486
757
472
286

28
69
180
6,973
4,464
2,510

81
105
309
1,231
647
584

Transportation
and
material
moving
occupations

89
3
50
206
72
134

15
13
102
587
289
298

71
54
625
1,549
935
614

765
6
88
22
66

15
245
7,742
287
223
64

1,000
138
362

7
1
25
24
13
11
56
6
50

518
36
482

10,893
1,773
9,119

3,412
755
2,657

53
32
21

156
38
118

215
664

647
119
529

2,088
822
1,266

710
600

309
937
632

42
13
55

244
80
322

141
426
2,402

1,732
669
2,580

180
13
83

460
317
196

303
105
43

3,089
73
94

14,263

2,996

4,666

435

2,112

571

2,276

13

181

262

343

397

29,324
12,470
7,066

2,446
1,543

15,758
898
961

1S3
169
20

0,101
7,923
2,330

136
859
442

3,721
588
709

3
5

106
47
40

250
105

206
92
496

414
246
294

953
8
1,613

20

1,625
706
255

441
1
24

708
1
1,277

5

40

59

268
5
105

2,258
672
11,094
16,179
10,193
5,986

1,107
72
1,368
2,418
1,540
876

49
73
210
2,060
1,517
543

21,278
4,491
16,787

1,556
556
1,000

7,217
3,234
108015

6,344
722
6,532

515
515

1,791

18

66

1,253
1,253
165

1,157

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.




31

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-22. Employed persons in agriculture and related and in nonagricuituraf industries by age, sex, and class of worker
(In thousands)
May 2005
Agriculture and related industries

Nonagricuituraf industries
Wage and salary workers

Age and sex
Wage and
salary
workers

Selfemployed
workers

Unpaid
family
workers

Private industries
Total
Total

Total, 16 years and over....
16 to 19 years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 64 years
65 years and over
.

1,238
61
31
30
118

Men, 16 years and over.....
16 to 19 years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 64 years
65 years and over

967
48

Women, 16 years and over
16 to 19 years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years.....
45 to 54 years
55 to 64 years.,
65 years and over

291
272
306
142
48

992
4
2
2
14
83
163

28
12
5

7
4
4
-

251
200
277

2
3
3
11
6

22
26
97
239
206
217
124
38

712
2
—
2
13
43
111
175
158
210

271
14
9
5
21
52
66
89
18
11

280
2
2
—
1
40
52
75
42
68

—
6
4
—
—
—
—
18
6
5
1
4
—
2

3
2

Private
household
workers

Other
private
industries

Government

129.633
5,542
2,010
3,531
13,189
28,826
31,897
30,042
16,040
4,098

108,714
5,284
1,925
3,359
11,988
24,841
26,678
23,944
12,595
3,384

722
91
51
40
102
103
168
128
66
64

107,992
5,193
1,874
3,319
11,885
24,737
26,510
23,816
12,529
3,321

20,919

68,213
2,637
930
1,708
6,921
15,792
17,000
15,412
8,314
2,135

59,261
2,499
880
1,619
6,365
14,055
14,820
12,894
6,871
1,757

49
6
6

59,212
2,493
874
1,619
6,360
14,039
14,808
12,888
6,869
1,755

8,951
138
50
88

61.420
2,904
1r080
1,824
6,267
13,033
14,897
14,630
7,726
1,963

49,453
2,785
1,045
1,740
5,623
10,785
11,858
11,050
5,724
1,628

673
85
45
40
98

48780
2,700
1,001
1,699
5,525
10,698
11,702
10,928
5,661
1,565

11,963
119
35
84
644
2,248
3,039
3,580
2,002

5
16
12
7
3
2

87
156
121
63
62

257

Selfemployed
workers

9,643
86

85

37

172

49
322
1,562
2,422
2,653
1,852
746

1,201
3,985
5,219
6,098
3,445
714

557
1,737
2,180
2,518
1,443
378

335

Unpaid
family
workers

6,083
60
22
38
225
961
1,490
1,694
1,135
518
3,560
26
16
11

97
601
933
959

717
228

57
2
1
1
3
8
18
6
11

9
12
2
1
1
3
—
—
2
4
45
—
3
4
18
6
9

5

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.




32

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-23* Employed persons in nonagrieultural industries by SUM and class of worker
(!n thousands)
May 2005
Industry and sex

Wage and salary workers
Total
employed 1

Total

Private
industries

Government

Selfemployed
workers

TOTAL
Total, 16 years and over ..................

Mining ..............................................
Construction
.............
Manufacturing ......................................
Durable goods
Nondurable goods
Wholesale and retail trade
Wholesale trade ....................................
Retail trade
Transportation and utilities
Transportation and warehousing ...........................
Uttftlat
Information
Financial activities
Finance and insurance
Real estate and rental and leasing
Professional and business services
....
Professional and technical services
Management, administrative, and waste services
Education and health services.................................
Educational services
Health care and social assistance
Hospitals
....
Health services, except hospitals
SoclaS assistance
Leisure and hospitality
............
Arts, entertainment, and recreation
Accommodation and food services........................
Other services
.............................................
Other services, except private households............
Private households
..........................................
Public administration ...............................................

139,333
672
11,094
16,179
10,193

5,986
21,278
4,491
16,787
7,217

6,064
1,153
3,234
10,015
6,911
3,104
14,253
8,734
5,518
29,324
12,607
16,717
5,744

8,066
2,907

129,633

656
9,258
15,849
9,985
5,864
20,084
4,291
15,794
6,772
5,619
1,153
3,108
9,253
6,620
2,633
12,128
7,481
4,647

28,256
12,422
15,837
5,736
7,604
2,417

7,066
6,344
722
6,532

11,706
2,494
9,212
6,029
5,307
722
6,532

74,307
591
10,087
11,262
7,522
3,741
11,800
3,193
8,606
5,579
4,636
943
1,822
4,591
2,961
1,630
8,246
4,892
3,354
7,231
3,780
3,451
1,409
1,607
435
6r047
1,638
4,409
3,470
3,421
49
3,581

68,213
575
8,343
11,035
7,358
3,677
11,105
3,037
8,068
5,195
4,252
943
1,740
4,129
2,748
1,380
6,906
4,100
2,806
6,983
3,718
3,265
1,403
1,443
419
5,671
1,390
4,281
2,949
2,900
49
3,581

12,470
2,985
9,485

108,714
653
8,789

15,762
9,917
5,845
19,980
4,284

15,696
5,197
4,436
762
2,921
8,988
6,462
2,526
11,703
7,246
4,457
17,453
3,295

14,158
4,953
7,258
1,947
11,267
2,088
9,179
5,999
5,278
722

20,919
3
469
87
67
20
104
6
97
1,575
1,183
392
187
264
158
106
425
235
190
10,805
9,127
1,679
783
426
470
439
405
34
30
30

9,643
16
1,834
327
205
122
1,172
200
972
438
438
126
762
291
472
2,122
1,253
868
1,059
185
874
8
376
489
753
488
264
1,035
1,035

6,532

Situ
Total, 16 years and over ...............
Mining
Construction
Manufacturing ....,„...
Durable goods
.......
Nondurable goods
Wholesale and retail trade
Wholesale trade
................................
Retail trade
Transportation and utilities
Transportation and warehousing
Utilities
Information
.........................
Financial activities
Finance and insurance
......................
Real estate and rental and teasing ..... .....
Professional and business services ........................
Professional and technical services ....
Management, administrative, and waste services.
Education and health services
..........................
Educational services
.....
Health care and social assistance .........................
Hospitals....
....
Health services, except hospitals
Social assistance
..............
Leisure and hospitality
Arts, entertainment, and recreation
Accommodation and food services ........................
Other services .........................................................
Otter services, except private households
Private households.....
...................
Public administration

See footnotes at en4 of table.




59,261
572
7,922
10,982
7,318
3,664
11,053
3,031
8,022
4,058
3,442
616
1,695
4,025
2,698
1,327
6,615
3,933
2,682
4,013
1,176
2,338
1,147
1,369
322
5,394
1S126
4,268
2,932
2,382
49

8,951
3
420
53
41
12
52
6
46
1,137
810
327
46
104
51
54
291
167
124
2,970
2,542
428
257
74
96
276
263
13
18
18
3,581

6,083
16
1,742
227
163
64
693
156
537
381
381
82
462
213
249
1,340
792
548
247
32
185
6
163
15
372
245
126
521
521

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-23. Employed persons in nonagricultural industries by sex and class of worker—Continued
(In thousands)
May 2005
Wage and salary workers

Industry and sex

Total
employed1

Total

Private
industries

61,420
80
915
4,814

49,4153
80
867
4,780
2,600
2,181
8,928
1,253
7,674
1,140
994

Government

Selfemployed
workers

Women
35,025
81
1,007
4,917
2,671
2,245
9,479
1,298
8,181
1,638
1,428
210
1,412
5,424
3,950
1,475
6,007
3,843
2,164
22,092
8,827

Total, 16 years and over
Mining....

Construction
Manufacturing
Durable goods
Nondurable goods
Wholesale and retail trade
Wholesale trade
Retail trade
Transportation and utilities
Transportation and warehousing
Utilities
Information
Financial activities
Finance and insurance
Real estate and rental and leasing
Professional and business services
.,..
Professional and technical services
Management, administrative, and waste services
Education and health services
Educational services
Health care and social assistance
Hospitals
.
Health services, except hospitals
Social assistance
Leisure and hospitality
Arts, entertainment and recreation
Accommodation and food services
Other services
Other services, except private households
Private households
Public administration

13,266
4,335
6,459
2,472
6,423
1,347
5,076
3.596
2,923
673
2,950

1

2,626
8,979
1,253
7,726
1,577
1,367
210
1,368
5,124
3,872
1,252
5,222
3,381
1,841
21,275
8,704
12,571
4,333
6,240
1,998
6,035
1,104
4,931
3,080
2,407
673
2,950

145
1,226
4,964
3,764
1,199
5,088
3,313
1,776
13,440
2,120
11,320
3,806
5,889
1,625
5.873
962
4,910
3,068
2,395
673

11,968

3,560

48
34
27
7
52

92
100
42
58
479
44
436
56
56

52
438
373
65
141
160
107
53
134
68
66
7,835
6,584
1,251
526
351
373
163
142
21
12
12

44
300
78
222
782
462
320
812
123
689
2
213
474
331
243
138
514
514

2,950

Includes unpaid family workers, not shown separately.
NOTE: Beginning in January 2005r data reflect revised population controls used in the household survey, Dash indicates no data or data that do not meet publication
criteria.




34

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-24. Persons at work in agricuiture and related and in nonagriculturai industries by hours of work
May 2005
Percent distribution

Thousands of persons
Hours of work

Total, 16 years and over
1 to 34 hours ............................
1 to 4 hours
5 to 14 hours
15 to 29 hours
30 to 34 hours.......................................................
35 hours and over
35 to 39 hours
40 hours
41 hours and over
41 to 48 hours
49 to 59 hours .............................
60 hours and over

Ail
industries

Agriculture
and related
industries

Nonagriculturai
industries

137,376

2,170

135,206

100.0

100.0

100.0

31,407
1,358
5J12
15/W2

468
56
80

30,939
1,302
5,023
15,528
9,086

22.9
1.0
3.7
11.5
6.7

21.6
2.8
4.1
10.3
4.6

22.9
1.0
3.7

1,702
103
562
1,036
161
203
671

104,267

77.1
6.9
42.5
27.7
9.8
10,6
7.3

78.4
4.8

77,1
6.9
42.8
27.4
9.9

46.1
51.4

39.1
42.8

9/IE5
105,f»€9
9,468
58,383
38,1 IB
13,615

...................
10,01'

Average hours, total at work...........................
Average hours, persons who usually work full time

42.4

224
99

Agriculture
and related
industries

All
industries

9,364
57,821
37,082
13,354
14,388
9,340

Nonagricuttural
industries

11.5
6.7

25.9
47.7
7.4
9.4
30.9

10.6
6.9

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.

A -25, Persons at work 1 to 34 hours in all and in nonagricuftural industries by reason for working less than 35 hours
and usuai full- or part-time status
(Numbers in thousands)
May 2005
All industries

Nonagriculturai industries

Reason for working less than 35 hours
Total

Usually
work
full time

Usually
work
part time

Total

Usually
work
full time

Usually
work
part time

...............

31,407

8,851

22,556

30,939

8,712

22,227

Economic reasons
,
Slack work or business conditions.............
Could only find part-time work ....................
Seasonal work
Job started or ended during week .............

4.171
2,582
1,319

1,501
1,278

131

84
139

2,670
1,304
1,319
47
_

4,104
2,560
1 296
112
137

1,473
1,265
—
71
137

2,631
1,295
1,296
41
-

Noneconomrc reasons
Child-care problems ..................................
Other family or personal obligations ..........
Health or medical limitations
...............
in school or training
Retired or Social Security limit on earnings
Vacation or personal day
......................
Holiday, legal or religious
Weather-related curtailment
.............
All other reasons ........................................

27,236
864
5,888
798
6,494
2,238
3,382
49
277
7,247

7,350
52
842
—
127
—
3,382
49

26,835
859
5,800
785
6,459
2,120
3,342
47
7,168

7,239
52
831
126
—
3,342
47
254
2,586

19,596
807
4,969
785
6,334
2,120

2,821

19,886
812
5,046
798
6,367
2,238
—
—
—
4,625

23.0
21.1

23.9
25.0

22.6
19.7

23.0
21.2

23.9
25.0

22.6
19.7

Total, 16 years and over

139

277

254

—
4,580

Average hours:

Economic reasons
Other reasons ............................................

NOTE; Beginning in January 2005, data reflect revised population controls used tn the household survey. Dash indicates no data or data that do not meet
publication criteria.




35

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-26.

Persons at work in nonagricuttural industries by class of worker and usual full- or part-time status

(Numbers in thousands)
May 2005
Worked 1 to 34 hours

Industry and ciass of worker

Total
at
work

Average hours

For noneconomic
reasons
Total

For
economic
reasons

Usually
work
full
time

Usually
work
part
time

Worked
35 hours
or more

Total
at
work

Persons who
usually work
full time

Total, 16 years and over.

135,206

30,939

4,104

7,239

19,596

104,267

39,1

42.8

Wage and salary workers .

126,012

28,012

3,665

6,624

17,723

98,000

39.1

42.7

643

38

2

23

13

606

49.9

50.6

9,085

1,389

416

457

516

7,697

40.7

42.2

Manufacturing
,
Durable goods
Nondurable goods

15,461
9,745
5,716

1,598
870
728

319
165
154

751
458
294

528
248
279

13,864
8,875
4,988

42.1
42.5
41.4

43.0
43,2
42.7

Wholesale and retail trade

19,528

5,166

665

869

3,632

14,362

38.1

42.9

Transportation and utilities

6,520

970

130

378

461

5,550

42.5

44.4

Information

.,.

3,008

555

53

150

351

2,453

39.8

42.8

Financial activities

9,028

1,463

81

505

877

7,565

40.3

42.5

Professional and business services

11,800

2,309

387

709

1,213

9,491

40.2

43.0

Education and health services

27,384

7,204

613

1,563

5,028

20,180

37.7

42.0

Leisure and hospitality

11,344

4,589

721

399

3,469

6,756

34.2

42.1

Other services
Other services, except private households
Private households
-

5,868
5,177
691

1,826
1,437
389

209
167

286
232
54

1,330
1,037
293

4,043
3,740
303

36,9
38.0
28.5

43.0
43.3
39.7

Public administration ..

6,341

906

533

305

5,435

40.7

41.9

614

1,841
32

6,243
25

38.7

44.9

Mining
Construction

41
68
Self-employed workers.
Unpaid family workers ..

9,137
57

2,894
32

1

440

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

1

1

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-27* Persons at work In nonagricuitural industries by age, sex, race, Hispanic or Latino ethnicity, marital status, and usual full- or
part-time status
(Numbers in thousands)
May 2005
Worked 1 to 34 hours
Age, sex, race, Hispanic or
Latino ethnicity, and marital status

Average hours

For noneconomic
reasons

Total
at
work

Total

Total, 16 years and over.
16 to 19 yeais....................
16 to 17 years..................
18 to 19 years
...
20 years and over..............
20 to 24 years..................
25 years and over............
25 to 54 years ................
55 years and over..........

135,206
5,432
1,959
3,473
129,773
13,139
116,634
94,888
21,746

30,939
4,178
1,830
2,347
26,761
4,521
22,241
16,136
6,104

Men, 16 years and over.
16 to 19 years ...................
16 to 17 years ................
20 years and over..,..
20 to 24 years .........
25 years and over...
25 to 54 years .......
55 years and over.

72,505
2,810
914
1,696
69,895
6,998
62,897
51,255
11,642

Women, 18 years and over
16 to 19 years .........................
16 to 17 years......................
18 to 19 years
................
20 years and over ................
20 to 24 years
.............
25 years and over................
25 to 54 years
56 years and over..............

For
economic
reasons

Worked
35 hours
or more

Total
at
work

Persons who
usually work
full time

Usually
work
full
time

Usually
work
pa r t
time

4,104
305
28
277
3,799
770
3,029
2,558
470

7,239
172
26
146
7,067
619
6,448
5,173
1,275

19,596
3,701
1,776
1,925
15,895
3,131
12,783
8,404
4,359

104,267
1,255
129
1,126
103,012
8,819
94,394
78,752
15,642

39.1
22.8
16.0
26.7
39.7
35.3
40.2
40.9
37.5

42.8
38.8
37.1
39.0
42.8
40.8
43.0
43.1
42.5

11,743
1,891
834
1,057
9,852
1,971
7,880
5,249
2,832

2,066
156
25
131
1,910
403
1,507
1,259
248

3,554
88
10
78
3,466
312
3,154
2,488
666

6,123
1,647
799
848
4,476
1,257
3,219
1,501
1,718

60,762
719
81
639
60,043
6,027
55,017
46,006
9,010

41.7
24,5
17.0
28.5
42.3
37.3
42.8
43.5
39.8

44.1
39.6
39.0
39.6
44.1
41.6
44.3
44.5
43.7

62,701
2,822
1,045
1,777
59,879
6t141
53,737
43,633
10,104

19,196
2,287
997
1,290
16,909
2,549
14,360
10,888
3,472

2,038
149
4
146
1,888
367
1,521
1,299
222

3,685
83
16
68
3,601
307
3,294
2,685
609

13,473
2,054
977
1,077
11,419
1,875
9,545
6,903
2,641

43,505
536
49
487
42,969
3,592
39,377
32,745
6,632

36.1
21.3
15.1
25.0
36.8
33.0
37.2
377
34.9

41.1
37.8
41.1
39.7
41.2
41.3
40.9

111,424
60,760
50,664

25,931
9,802
16,129

3,164
1,619
1,546

6,040
3,042
2,998

16,727
5,142
11,586

85,492
50,958
34,535

39.1
41.8
35.8

43.0
44.2
41.2

14,827
6,980
7,846

3,073
11,228
1',845

657
309
347

782
302
481

1,634
617
1,017

11,754
5,752
6,002

38.7
40.3
37.2

41,6
42.8
40.4

5,948
3,196
2,752

1,094
406
639

150
80
70

197
102
94

747
223
524

4,854
2,790
2,064

39.7
41.7
37.3

42.8
43.7
41.7

17,875
10,849
7s026

3,498
1,438
2,060

802
445
357

794
433
361

1,902
560
1,342

14,377
9,411
4,966

38.8
40.8
35.8

41.4
42.2
40.1

Men, 16 years and over:
Married, spouse present....
Widowed, divorced, or separated
Never married

43,520
9,069
19,916

4,982
1,318
6,443

794
296
976

2,184
463
907

2,004
558
3,561

38,538
7,752
14,473

43.5
41.8
37.6

44.8
43.7
42.3

Women, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married

32,972
12,862
16,867

0t,875
3,131
6,100

757
477
804

2,002
827
855

7,116
1,826
4,531

23,097
9,731
10,676

36.2
38.1
34.2

41.0
415
40.9

TOTAL

Race and Hispanic or Latino ethnicity
White, 16 years and ©ver
Men.
Women

......

Black or African American, 16 years and over
Men,
Women
Asian, 16 years and over
Men.
.......................
Women
......„„.,....
Hispanic or latino, 16 years and over.
Men........
Women .............,.....,......*...........
.....
igaritaf statas

1
Data not shown where base is less than 75,000.
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 controis used in the household
survey.

37

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-28. Persons at work by occupation, sex, and usual full- or part-time status
(Numbers in thousands)
May 2005
Worked 1 to 34 hours
Occupation and sex

Total, 16 years and over
Management, professional, and related occupations
Management, business, and financial operations occupations
Professional and related occupations
Service occupations
..,
Sales and office occupations
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations1
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations
Production occupations
Transportation and material moving occupations
Men, 16 years and over
Management, professional, and related occupations
Management, business, and financial operations occupations .
Professional and related occupations
Service occupations ..„..,...,
Sales and office occupations
,
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations1
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations
Production occupations
Transportation and material moving occupations
Women, 16 years and over
Management professional, and related occupations
Management, business, and financial operations occupations .
Professional and related occupations
Service occupations
Sales and office occupations
Sales and related occupations
Office and administrative support occupations
Natural resources, construction, and maintenance occupations1
Construction and extraction occupations
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations
Production occupations .,...,.
Transportation and material moving occupations

Total
at
work

Total

For
economic
reasons

137,376

31,407

47,724
19,503
28,221
22,320
34,770
16,072
18,698
14,967
8,947

Worked
35 hours
or more

Total
at
work

Persons who
usually work
full time

Usually
work
full
time

Usually
work
part
time

4,171

7,350

19,886

105,969

39.2

42.9

719
174
545
1,234
941
535
406
674
500
124
603
313
291

2,701
1,063
1,638
1,101
1,858
691
1,167
810
539

5,411
1,407
4,004
5,770

38,894
16,859
22,035
14,216
25,341
11,526
13,816
12,784
7,482

17,594
9,313
8,281

8,831
2,644
6,186
8,104
9,429
4,546
4,883
2,184
1,465
532
2,860
1,191
1,668

41.1
43.6
39.4
35.0
37.4
38.4
36.5
41.1
404
42,1
41.1
41.2
41.0

44.1
45.5
42 9
41,6
42.0
43.8
40.4
42.5
41.7
43.2
43.3
42.4
44.3

74,141

11,995

23,655

5,097

205

6,630
3,321

3,309
700
426
203

4,565

467

1,375
412

414

964

14,734
8,122
6,612

2,100

3,634

6,261

62,146

41.8

44.2

340
107
233
475
271
163
107
643
488
124
371
152
219

1,221
562
658
443
588
323
265
752
525
179
631
305
326

1,464
518
946
1,703
1,600
930
671
614
397
190
880
194
686

20,630

7,012

3,025
1,188
1,837
2,620
2,459
1,417
1,042
2,010
1,409
494
1,882
651
1,231

12,292
7,309
4,407
11,683
5,901
5,782

43.9
45.8
42.2
37.8
411
42.5
38.5
41.3
40.4
42.3
42,2
42.5
42.1

45.8
47.2
44.5
42.9
44.3
45.6
41,9
42.5
41.7
43.3
44.1
43,3
44.9

63,235

19,412

2,071

3,716

13,625

43,823

36.1

41.1

24,070
8,170
15,899

5,806
1,456
4,350
5,484
6,970
3,130
3,840
174
56
38
978
540
438

379
67

1,481
501
980
658
1,270

3,947
889
3,058

367
903
57

2,391
2,639

18,264
6,714
11,550
7,311
14,705
4,594
10,111

38.3
40.5
37.2
32.9
35.1
33.9
35.8
37.8
38,1
38,3
37.3
38 2
35.3

42.1
43.1
41.6
40.5
40.3
41.3
39.9
41.1
41.1
39.6
40.3
40,3
40.3

11,333
12,322
9,525
13,095
8,348
4,747
14,301
8,718
4,901
13,565

6,553

12,795
21,675
7,724
13,951

666
230
196
4,029

2,760
1,269

312
759

670
371
299
31
13
232
160
72

1
Includes farming, fishing, and forestry occupations, not shown separately.
NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.




Average hours

For noneconomic
reasons

38

881

14

26
250
162
88

4,067
5,030
86
30
12
498
218
278

10,145
10,485

6,905
10,636
6,931
3,705

492
173
158
3,051
2,220
831

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-29. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex
Men
Marital status, race, Hispanic
or latino ethnicity, and age

Unemployment
rates

Thotusands of
persons

May

Women

May
2004

May

May
2005

2004

2005

Total, 16 years and over
Married, spouse present
Widowed, divorced, or separated .
Never married ,.

4,292
1,334
54
2,413

3,830
1,142
518
2,170

5.8

4.8
2.4
5.2

10.6

93

White, 16 years and over ..........
Married, spouse present.............
Widowed, divorced, or separated
Never married ,

3,260
1,042
442
1,776

2,755
879
391
1,485

5.0
2.6
5.6
9.7

4.1

Black or African American, 16 years and over
Married, spouse present
.......
Widowed, divorced, or separated ........................
Mever married ...................

742
179
77

9.8
$.1

10.0
5.0
7.1

486

802
178
93
531

Asian, 16 years and over .........
Married, spouse present....
Widowed, divorced, or separated
Never married...............................

147

123

66

46
8
69

Hispanic or Latino, 16 years an^ over
Married, spouse present .........................
Widowed, divorced, or separated
Mever married

706
219

8
73

548

5.5
2,9

Unemployment
rates

Thousands of
persons

May
2004

May
2005

3,500
1,085
798
1,618

3,457
1,034
754

May
2004

May
2005

1,668

5.1
3.0
5.6
8.7

5.0
2.9
5.3
8.7

2,394
840
606
949

2,357
308
550
999

4,3
2.8
5.5
7.0

4.3
2.7
5.0
7.1

837
119
151
567

9.5
5.2
6.1

16.9

835
144
140
552

15.0

9.3
4.2
6.6
14.6

4.4
3.0
4.0
7.4

3,6
2.1
2.7
7.5

115
56
21
37

127

63
23
41

4.1
3.2
5.3
5.6

4.2
3.4
5,4
5.7

6.1
3.6

511
175

5.8
10.2

4.6
2.8
3.7
7.9

136
200

512
168
113
230

6.6
4.9
8.2
8.2

6,5
4.5
6.8
9.4

3.5
2.4
5.1
6.4

2,279
994
743
543

2,254
940
724
589

3.9
2.9
5.4
5.7

3.9
2.7
5.2
5.8

3.4
2.6
5,2

3.4
2,5
4.8
4.8

6.8
16.3

2.2
4.B
8.2

86

176
55

401

317

Total, 26 years and over
Married, spouse present...............
Widowed, divorced, or separated
Never married .................

2,829

2,414
1,093

518
1,048

500
821

4.2
2.8
5.6
8.2

White, 25 years and over ..........
Married, spouse present...............
Widowed, divorced, or separated .
Never married

2,154
097
419
738

1,772
844
373
555

3.8
2.6
5.5
7.4

3.1
2.1
4J
5.5

1,595
768
561
266

1,582
727

Black or African American, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married

455
154
74

462
168

226

93
201

7.1
4.6
6.5
12.1

7,0
4.9
7.2
10.6

520
137
138
245

490
109
151
230

10.1

6.5
4.0
8.7
9.0

Asian, 25 years and over ..........
Married, spouse present
Widowed, divorced, or separated .
Never married

121
66

90
46

8
47

36

4.0
3.1
4.2
7.1

2.9
2.1
2.7
5.9

85
49
18
18

98
63
23
12

3.4
2.9
4.8
4.4

3.7
3.5
5.5
2.8

Hispanic or Latino, 25 years and over.
Married, spouse present
Widowed, divorced, or separated ...........

446

4.8
3.4
5.6
8.2

3.5
2.7
3.4
5.7

346

347
137
107
102

5,5
4.6
7.8
5.4

5.4
4.0
6.8
7,6

Never married

1,263

8

198
78

340
164
4&

169

128

155
122

68

522
333

4.1
7.0
5.1

6.1

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.




39

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-30. Unemployed persons by occupation and sex
Thousands of
persons
Occupation

Unemployment rates

Total

Men

Total

Women

May

May

May

May

May

May

May

May

2004

2005

2004

2005

2004

2005

2004

2005

7,792

7,287

5.3

4.9

5.5

4,8

5,1

5.0

Management, professional, and related occupations
Management, business, and financial operations occupations
Management occupations
Business and financial operations occupations
Professional and related occupations
Computer and mathematical occupations
Architecture and engineering occupations
Life, physical, and social science occupations
Community and social services occupations
Legal occupations
Education, training, and library occupations
Arts, design, entertainment, sports, and media occupations .
Healthcare practitioner and technical occupations

1,378
620
418
202

1,189
477
309
168
712
134
49
43
53
23
159
142
109

2.8
3.0
2.8
3.5
2.6
4.5
2.3
4.1
2.2
17
1.6
6.4
1.7

2,4
2.3
2,1
2.9
2.4
4.0
1.7
3.0
2.4
1.4
1.9
4.9
1.6

3.1
3.0
3,0
2.9
3.2
4.6
2.1
4.6
2.4
1.3
1.8
7.4
1.5

2.5
2.2
2.2
2.4
2.7
3.6
1.8
3.1
2.6
.9
3.1
5.1
.8

2.4
3.0
2.4
3.9
2.2
4.2
3.1
3.3
2.1
2.1
11.5
6.3
17

2.3
25
2.0
3.3
2.1
5.0
.9
2.9
2.3
2.0
1.4
4,6
1.9

Service occupations
,
Healthcare support occupations
Protective service occupations
Food preparation and serving related occupations
....
Building and grounds cleaning and maintenance occupations
Personal care and service occupations

1,465
141
84
629
386

6.0
4.6
3.2
7.6
6.9
4.7

6.5
4.9
3.7
7.6

6.1
5.3
3,4

5.9
4.5
2.5
7.9
6.5

225

1,606
156
107
630
392
321

47

67
4.8
5.8
7,8
3.5
5.9

Sales and office occupations
Sales and related occupations
Office and administrative support occupations

1,851
835
1,016

1,857
886
971

Natural resources, construction, and maintenance occupations
Farming,fishing,and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations

1,002
95
697
210

Production, transportation, and material moving occupations...
Production occupations
Transportation and material moving occupations

Total, 16 years and over 1

No previous work experience
16 to 19 years
20 to 24 years
25 years and over

,

758
136
65
54
51

27
135
179
113

7,2

7.2
7.1

6.7

4.9

6.2
6.2
3.0
7.4
6.2
9.5

5.0
5.0
5.0

4.9
5.1
4.8

5.0
4.0
6.6

5.0
4.3
6.2

5.0
6.1
4.4

4.9
5.8
4.3

861
66
612
183

6.5
8.6
7.8
4.0

5.3
6.4
6.3
3.4

6.4
7.1
7.7
3.8

5.2
6.4
6.0
3.5

9.6
13.3
8.4
6.9

8.0
6.6
14.5
1.6

1,359
689
670

1,059
578
481

7.0
6.9

5.5
5.7
5.3

6.1
5.6
6.6

4.7
4.8

10.0

8.2

97

47

10.6

7.9
87

706
465
128
113

705
512
119

1

74

7.2

«..
- -.

-

-

—

—

—
—

—
—
—

—
—

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

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-31, Unemployed persons by industry and sex
Thousands of
persons

Unemployment rates
Total

Total

Industry

May
2004

Women

Men
May
2005

May
2005

May
2004

May
2005

...

7,792

7,287

5.3

4.9

5.5

4.8

5.1

5.0

Nonagrlculturaf private wage and salary workers .

6,234

5,765

5.5

5.0

5.5

4.8

5.5

5.3

22

16

4.3

2.4

4.7

2.7

665

567

7A

6.1

7.5

6.0

6.0

6.6

Total, 16 years and over

Mining ......................................

Construction

...................

May
2005

May
2004

May
2004

966

743

5.6

4.5

5.2

3.9

6.6

5,8

550
20
88
69
86
47
114
21
24
81

422
18
77
41
71
19
107
19
36
34

5.2
3.9
4.6
5.9
5.1
9.4
4.8
3.9
3.7
6.7

4.1
3.5
4,0
3.4
4.6
3.8
4.7
3.6
5.1
3.0

5.0
2.9
4.2
6.4
5,5
5.6
4.7
4.9
3.7
6.8

3.7
4.2
3.6
3.3
4.4
3.5
3.6
2.6
5.7
1.8

5.8
8.5
5.3
4.1
4.2
16.1
5.1

5.3
.9
5.4
3.5
4.9
4.3
7.8
8.1
3.9
4.8

416
93
22
97
95
2
59
48

322
91
3
92
40
13
45
38

6.2
5.2
7.7
9.4
6.6
1.3
4.7
6.5

5.2
5.5
1.1
10.9
3.2
7.9
3.6
5.5

5.4
5,0
8.3
5.5
6.9
1.6
5.1
4.0

4.5
5,3
1.4
8.9
2.5
10.1
3.7
3.9

7.5
5.5
6.0
12.3
6,1

12.6
4.4

4,1
12.1

3,3
6.6

1,183
238
946

1,145
170
976

5.8
5.2
6.0

5,4
3.8
5.9

5.1
4.5
5.4

5.1
3.3
5.8

6.6
6.9
6.6

5.8
5.0
6.0

Transportation and utilities
Transportation and warehousing ,
utwtk*...........................

230
200
30

223
205
19

4.4
4.5
3.8

4.1
4,4
2.4

4,1
4.4
2.2

4.3
4.6
2.0

5,7
5.1
9.1

3.7
3.6
3,9

Information 1
Publishing, except Internet....
Motion picture and sound recording industries ................
Broadcasting, except Internet.......................

190
41
44
18
73
4
8

145
47
27
19
42
10

5.7
5.0

4.7
5.8
8.8
3.2
3.9
5.9

5.5
6.2
11.1
2.7
4.6
4.2

4.9
5.6
11.9
4,0
3.3
3.7

6.0
3.4
11.4
4.2
6.9

4.6
6,0
3.1
2.1
4.8

Financial activities
Finance and insurance ...................
Finance ......................................
Insurance..........................
.....
Real estate and rental and leasing .
Real estate
Rental and leasing services.........

302
217
152
65
85
56
29

288
190
139
51
98
66
32

3.3
3.3
3.5
2.8
3.3
2.8
5.4

3.1
2.9
3.3
2.1
3.7
3.1
6.1

3.2
3.5
4.2
2.2
2.5
2.2
3.5

2.5
1.8
2.3
1.0
3.9
2.4
8.0

3.4
3.1
3.1
3.2
4.2
3.4
9.1

3.6
3.6
4.1
2,8
3.6
3.8
2.3

Professional and business services
Professional and technical services
Management, administrative, and waste services 1
Administrative and support services
Waste management ar\6 remediation services ....

819
295
524
488
36

730
279
451
447

6.5
4.0

6.3
3.8
9.4
9.2
12.0

5.1

10.0
9.9
12.6

5.9
3,7
9.2
9.3
.2

2.9
8.2
9.0
.2

6.8
4.3
10,8
10.9

6.8
4.6
10.7
11.1

Education and health services...........
Educational services
,
Health care and social assistance .
Hospitals. ...............................
Health services, except hospitals .
Social assistance .........................

570
114
456
115
234
108

648
115
533
88
319
126

3.2
3.4
3.1
2.3
3.1
5.3

3.6
3.4
3.6
1.7
4.2
6.1

3.2
3.9
2.9
3.6
1.4
7,4

3.0
3.1
3.0
1.4
4.0
4.0

3.2
3.2
3.2
1.9
3.5
4.8

3.8
3.5
3.8
1,9
4.2
6.5

Manufacturing
Durable goods

Nonmetallic mineral products
Primary and fabricated metal products .
Machinery manufacturing
.............

Computer and electronic products ........
Electrical equipment and appliances ....
Transportation equipment
Wood products
furniture and fixtures............................
Miscellaneous manufacturing ...............
Nondurable goods
Food manufacturing

Beverage and tobacco products .
Textile, apparel, and leather
Paper and printing
Petroleum and coal products ......
Chemicals...................................
Plastics and rubber products ......
Wholesale and retail trade.
Wholesale trade...............
Retail trade ......................

Telecommunications
Internet service providers and data processing services,
Other Information services ..............................
............

See footnotes at end of table.




4!

11.2
3.2
5.5
2.8

3.8
6.7

6.4
5.9

2

2

2

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-31. Unemployed persons by industry and sex—Continued
Thousands of
persons
Industry

Unemployment rates
Total

Total
May
2004

May
2005

May
2004

Men
May
2005

Leisure and hospitality
Arts, entertainment, and recreation
Accomodation and food services
Accomodation
Food services and drinking places

977
125
851
111
741

944
159
785
92
693

8.1
6.3
8.5
7.0
8.8

7.7
7.1
7.9
6.1
8.2

Other services
Other services, except private households
Repair and maintenance
Personal and laundry services ...
Membership associations and organizations
Private households

310
260
95
89
76
49

314
245
91
67
86
70

5.1
4.9
5.5
5.3
3.9
6.7

5.0
4.4
4.8
4.2
4.2
8.8

99
468
287
706

453
299
705

7.4
2.3
2.7

5.3
2.1
2.7

Agricuitural and related private wage and salary workers
Government workers
Self-employed and unpaid family workers
No previous work experience
1

May
2005

May
2004

May
2005

7,9
6.3
8.1

7.3
6.8
7,4
6.3
7.6

8.6
5.9
9.0
7.6
9.3

8.1
7.4
8.3
6.0
8.7

5.3
5.2
5.2
6.3
4.5

5.3
5.2
4,8
6.5
5.2

4.9
4.5
7,9
5,0
3.4
6.4

4.7
3.5
4.8
3.4
3.4
8.6

7.3
1,9
1.0

3.1
2.2
2.0

7.7
6.7

2

2

7.4
2.9
3.1

59
2.1
3,1

used in the household survey. Dash indicates no data or data that do not meet
publication criteria.

Includes other industries, not shown separately.
Data not shown where base is less than 75,000.
NOTE: Beginning in January 2005, data reflect revised population controls
2




May
2004

Women

42

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-32. Unemployed persons by reason for unemployment, sex, and age
(Numbers in thousands)
Total,
10 years
and over

Reason

Men,
20 years
and over

Both sexes,
16 to 19
years

Women,
20 years
and over

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

7,792
3,7711
715
3,062
2,354
70§
772
2,537
706

7,287
3,265
662
2,603
1,862
740
863
2,455
705

3,659
2,268
452
1,816
1,355
461
388
888
115

3,149
1,852
383
1,468
999
469
406
806
85

2,935
1,387
225
1,182
935
227
324
1,098
126

2,863
1,267
235
1,033
794
238
378
1,110
108

1,198
123
39
84
64
20
60
551
465

1,276
146
44
102
69
33
78
540
512

100.0
48.5
9.2
39.3
9.9
32.6
9.1

100.0
44.8
9.1
35.7
11.8
33.7
9.7

100.0
62.0
12.3
49.6
10.6
24.3
3.1

100.0
56.8
12.2
46.6
12.9
25.6
2.7

100.0
47.3
7.7
39.6
11.0
37,4
4.3

100.0
44.3
8.2
36.1
13.2
38.8
3.8

100.0
10.2
3.2
7.0
5.0
46.0
38.8

100.0
11.4
3.5
8.0
6.1
42.3
40.1

2.6
.5
1.7

2.2
.6
1.6
.5

3.0
.5
1.2
.2

2,4
.5
1.1
.1

2.1
.5
1.7
.2

1.9
.6
17
.2

1.8
.9
8.0
6.7

2.1
1.1
7.7
7.3

NUMBER OF UNEMPLOYED
Total unemployed
Job losers and persons who completed temporary jobs ......
On temoorarv lavoff
».
... .........
Not on temoorarv lavoff
.
Permanent iob losers
Persons who completed temoorarv iobs
. ,
Job leavers ...........
.,..,...
....
Reentrants
....
New entrants ........,...,.,....
PERCENT DISTRIBUTION

Total unemoloved
,
Job losers and persons who completed temporary jobs .....
On temDorarv lavoff
Not on temoorarv lavoff
.....

Job leavers ....
Reentrants
....
New entrants

,...„,.......

UNEMPLOYED AS A PERCENT OF THE
CIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobs .....
Job leavers
.. .. ,. . ..
,.„...,,..
Reentrants
.0.....
New entrants
..................................

.5

NOTE: Beginning in January 2005, data reflect revised population controls used in the household survey.




43

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-33 Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity
(Numbers in thousands)
Black or
African
American

White
Reason

Hispanic
or latino
ethnicity

Asian

May
2004

May
2005

May
2004

May
2005

5,654
2,787
561
2,227
1,769
457
594
1,796

5,112
2,385
518
1,866
1,404

476

615
1t637
475

1,577
719
114
605
408
196
133
558
167

1,639
680
102
578
347
231
180
598
181

262
157
18
138
109
29
14
53
39

100.0
49.3
9.9
39.4
10.5
31.8
8.4

100.0
46.7
10.1
36.5
12.0
32.0
9.3

100.0
45.6
7.2
38.3
8.4
35.4
10,6

100.0
41.5
6.2
35.3
11.0
36.5
11.0

2.3
.5
1,5
.4

2.0
.5
1.3
.4

4.4
,8
3,4
1.0

4.0
1.1
3.5
1.1

May
2004

May
2005

May
2004

May
2005

249
99
23
76
61
16
38
84
28

1,217
570
130
439
272
168
107
401
138

1,060
475
90
385
248
137
114
349
121

100.0
59.7
7.0
52.7
5.2
20.3
14.8

100 0
39.8
9.1
30.7
15.2
33.8
11.2

100.0
46.8
10.7
36.1
8.8
33.0
11.4

100.0
44.8
8.5
36.3
10,7
33,0
11.5

2.5
,2
.9

1.5
.6
1.3
.4

3.0
.6
2.1

2.4
.6
1,8
.6

NUMBER OF UNEMPLOYED
Total unemployed
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Permanent job losers.
Persons who completed temporary jobs
Job leavers
Reentrants
•
New entrants

463

PERCENT DISTRIBUTION
Total unemployed
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Job leavers
Reentrants
New entrants
UNEMPLOYED AS A PERCENT OF THE
CIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobs
Job leavers
Reentrants
New entrants

.7

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 atl races. In
addition, persons whose ethnicity Is identified as Hispanic or Latino may be of any race and, therefbre, are classified by ethnicity as well as by race. Beginning in
January 2005, data reflect revised population controls used in the household survey.




44

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-34, Unemployed persons by reason for unemployment, sex, age, and duration of unemployment
(Percent distribution}
May 2005
Total unemployed

Duration of unemployment

Reason, sex, and age

15 weeks and over
Thousands
of persons

Total, 16 years and over
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
............
Permanent job losers
Persons who completed temporary jobs ...................
Job leavers
.......................
Reentrants
New entrants
.....................................................

?r:iB7

Men, 20 years and over
Job losers and persons who completed temporary jobs
On temporary layoff..............
.................................
Not on temporary layoff
Permanent job losers.............
Persons who completed temporary jobs ...................
Job leavers
............................
Reentrants ......................
Hew entrants
...........................
.

3,149
1,-852
383
1,468

Percent

3,265
662
2,603
1,062
740
863
2.455
705

989
469
406
806
85

Women, 20 years and over
Job losers and persons who completed temporary jobs
On temporary layoff
.............................
Not on temporary layoff
............................
Permanent job losers
Persons who completed temporary jobs ...................
Job leavers ....................................................
Reentrants
New entrants
...........................................................
Both sexes, 16 to 19 years
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Permanentjob losers
Persons who completed temporary jobs ...................
Job leavers
....................................
Reentrants
New entrants

1,2*17
2111
1,033
794

zm
37S
1,110
108
1,276
1411
44
102

69
3$
7S
540
512

less than
5 weeks

5 to 14
weeks

Total

15 to 26
weeks

27 weeks
and over

100.0
100,0
100,0
100.0
100,0
100,0
100.0
100.0
100.0

37.6
33.9
57.2
27.9
26.6
31.3
42.2
39.7
42.6

25.2
26.0
22.0
27.0
27.2
26.2
26.8
24.3
23.2

37.1
40.2
20.8
45.1
46.2
42.5
31.0
36.0
34.3

16.3
20.0
16.4
20 9
19.1
25.6
11.4
15.2
9.4

20.8
20.2
4.5
24.2
27.1
16.9
19.6
20.3
24.9

100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

32.3
32.2
51.6
27.2
25.9
29.6
37,6
31.6
13.9

25.0
26.0
23.5
26.6
26.7
26.5
26.8
23.0
15.6

42.7
41.8
25.0
46.2
47.4
43.7
35.6
45.4
70.6

19.5
21.7
21.8
21.7
19.1
27.2
13.4
17.3
21.5

23,2
20.1
3.2
24.6
28.3
16.5
22.2
28.1
49.1

100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

36.1
32.4
63.6
25.3
23.4
31.8
43.8
37.2
40,6

25.6
26.1
20.0
27.5
28.6
24.0
27.2
26.2
7.1

38.3
41.4
16.2
47.2
48.1
44.2
29.0
36.6
52.3

15.5
19.4
10.6
21.4
20.2
25.4
10.0
13.6
10.1

22.8
22.1
5.6
25.8
27.9
18.9
19.1
23.0
42.2

100,0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100,0

54.4

25.0
24.7

20.6
8.5

10.3

10,3
4.6

22.3
27.8

16.4
20.8
24.5

56.9
47.7

y

8.3
15.3
7.2

5.5
17.3

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
Total
Duration of unemployment

Full-time workers
Percent distribution

Thousands of persons

Thousands of persons

Percent distribution

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

May
2004

May
2005

Total, 16 years and over ..............
Less than 5 weeks .........................
5 to 14 weeks .................................
5 to 10 weeks
...
11 to 14 weeks ............................
15 weeks and over ........................
15 to 26 weeks ............................
27 weeks and over.......................
27 to 51 weeks
52 weeks and over .....................

7,792
2,716
1,940
1,320
620
3,135
1,357
1,777
$76
1,101

7,287
2,743
1,838
1,212
627
2,706
1,190
1,516
608
908

100.0
34.9
24.9
16.9
8.0
40,2
17.4
22.8

100.0
37.6
25.2
16.6
8.6
37.1
16.3
20.8
8.3
12.5

6,604
2,147
1,617
1,084
533
2,840
1,201
1,639
602
1,037

5,944
2,048
1,501
967
534
2,395
1,052
1,343
524
819

100.0
32.5
24.5
16.4
8.1
43.0
18.2
24.8
9.1
15.7

100.0
34.4
25.3
16.3
9.0
40.3
17.7
22,6
8,8
13.8

Average (mean) duration, In weeks
Median duration, In weeks............

20.3
9.9

19.1
9.1

—

21.7
11.0

20.6
10.3

B.7

14.1

«,

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.




45

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-36. Unemployed persons by age, sex, race, Hispanic or Utino ethnicity, maritai status, and duration of unempioyment
May 2005
Thousands of persons unemployed

Sex, age, race, Hispanic
or Latino ethnicity, and
marital status

Weeks of unemployment

15 weeks and over

Less
than
5 weeks

5 to 14
weeks

7,287
1,276
1,343
1,533
1,292
1,120
576
148

2,743
695
572
538
455
279
151
54

1,838
318
337
377
330
282
163
32

2,706
263
434
618
507
559
263
63

1,190
131
228
286
191
221
101
32

3,830
682
735
784
695
569
290
77

1,365
349
263
286
242
134
74
17

964
176
209
162
169
144
85
19

1,502
156
262
336
284
291
131
41

3,457
594
609
749
597
551
286
71

1,378
345
310
252
214
145
76
36

874
142
128
214
161
138
78
13

1,204
107
171
283
223
267
132

5,112
2,755
2,357

2,076
1,043
1,033

1,278
695
582

1,839
802
837

479
233
246

249
123
127

Average
(mean)
duration

Median
duration

1,516
132
206
332
316
337
162
30

19.1
10.8
15.2
19.4
21.8
26.4
25.3
219

9.1
4.1
7.5
10.0
98
14.4
13.1
9.2

683
69
156
153
111
132
43
19

618
87
106
183
173
159
87
22

20.0
11.9
15,7
20.6
21.9
27,4
26.8
28.2

9,7
4.4
9.1
10.2
9.8
15.2
13.1
16.1

507
62
72
133
79
90
57
13

697
44
99
149
144
178
74
8

18,2
9.5
14,5
18.2
21.6
25.4
23.7

8.4
3.8
4.4
9.8
9.7
13.9
13.1

1,768
1,017
741

825
494
331

933
523
410

17.7
189
16.3

8.2
9.0
7.1

452
223
228

709
345
363

271
137
134

437
208
229

22.6
22.0
23.1

11.6
11.3
11.9

82
24
58

44
20
23

124
79
45

40
27
13

84
52
32

27.2
31.9
22.7

14.3
20.4
7.8

1,060
548
512

395
198
197

277
151
126

388
199
189

201
95
106

187
104
83

17.4
17.1
17.7

8.8
9.3
8.2

1,142
518
2,170

371
152
842

307
123
533

464
242
795

193
95
395

271
147
400

21.0
25.5
18.1

mo

1,034
754
1,668

384
265
729

256
196
422

394
294
517

150
138
219

244
156
297

21.2
19.1
15.9

9.8
9,6
7,1

Total

Total

15 to 26
weeks

27 weeks
and over

TOTAL
Total, 16 years and over
16 to 19 years
,
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 64 years
65 years and over
Men, 16 years and over
16 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 64 years
65 years and over

,.

Women, 16 years and over
16 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 64 years
65 years and over

C1)

1

Race and Hispanic or U t i n o ethnicity
White, 16 years and over
Men

•

Women
Black or African American, 16 years and over
Men
\Afomen
Asian, 16 years and over
Men
Women
Hispanic or Latino ethnicity, 16 years and over
Men
Women
Marital status
Men, 16 years and oven
Married, spouse present
Widowed, divorced, or separated
Never married
Women, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married

.

13,2
8.8

^ Data not shown where base is less than 75,000.
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 20Q5, data reflect revised population controls used in the household survey.




46

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-37. Unemployed persons by occupation, industry, and duration of unemployment
May 2005
Weeks of
unemployment

Thousands of persons unemployed
Occupation and industry
15 weeks and over

Less
than
5 weeks

5 to 14
weeks

1,13tt

457

273

453

169

289

21.3

9.5

477
712

162
295
659
702
361
341

114
160
412
475
219
256

202
257
535
680
306
374

86
64
242
326
143
183

116
173
293
354
163
191

21.9
21.0
16.6
17.5
18.7
18.3

11.4
8.6
8.0
9.0
8.1
9.7

861
66
612
183
1,0511
5711
481

289
27
221
42
337
187
150

224
17
155
52
283
148
134

348
22
237
89
440
243
197

172
21
123
28
212
115
97

176
1
114
62
227
128
100

20.0
(1)
19.2
25.9
21.6
21.4
21.7

11.1
(1)
10.6
14.1
10.8
11.5
10.0

61!
16
579
747
422
326
1,152
245
149
204
730
895
961
314
117

25
4
195
212
117
95
399
82
40
118
264
347
488
131

19
5
152
177
101

22
7
232
358
204
154
435
92
81
83
295
318
238
116

19

3
7
101
193
115
78
219

()
11.2
13.7
13.6
13.7
9.8
10.4
17.7

185
185
113
87
41

<>
18.4
23.7
25.1
22.0
19.3
20.3
28.2
15.4
20.4
18.2
12.6
20.6
29.5

176

20.7

7.0

Tolai

Tola!

15 to 26
weeks

27 weeks
and over

Average
(mean)
duration

Median
duration

OCCUPATION
Management, professional, and related occupations
Management, business, and financial operations
occupations
Professional and related occupations
Service occupations
Sales and office occupations
Sales and related occupations
Office and administrative support occupations
..
Natural resources, construction, and maintenance
occupations
....................................
Farming, fishing, and forestry occupations ...........................
Construction and extraction occupations *
Installation, maintenance, and repair occupations
Production, transportation, and material moving occupations
Production occupations
.................
Transportation and material moving occupations
........

1,606
1,867

866

INDUSTRY 2
Agriculture and related industries
Mining
Construction
Manufacturing
Durable goods
.....................................
Nondurable goods
.................
Wholesale and retail trade
.......................................
Transportation and utilities
Information...........................
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other services
Public administration
Ho previous work experience

...........,..;...................

76
318
70
27

94
179
230
235

14

67
27

300

163

1

Data not shown where base is less than 75,000.
Includes wage and salary workers only.
NOTE: Beginning en January 2005, data reflect revised population controls used in the household survey.
2




47

76

131
165
89
76
216
38
38
34
110
134
126
30
35

241

66

54
43
49

7.9
8.9
8,9
4,4
8,4
20.2

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED

A-38. Persons not in the labor force by desire and availability for work, age, and sex
(In thousands)

Age

Total
Category
May
2004

Total not in the labor force
Do not want a Job now 1
Want a job t
Did not search for work in previous year.
Searched for work in previous year 2
Not available to work now
Available to work now
Reason not currently looking:
Discouragement over job prospects 3
Reasons other than discouragement.
Family responsibilities
.
In school or training
Ill health or disability
Other4

May
2005

16 to 24
years

25 to 54
years
May
2004

May
2005

55 years
and over
May
2004

Men

May
2005

May
2004

Women

May
2005

May
2004

May
2005

76,308 76,792 14,463 14,651 21,343 21,268 40,502 40,873 29,123 29,107 47,185 47,685
70,937 71,405 12,148 12,109 19,152 19,321 39,637 39,976 26,662 26,575 44,275 44,830
5,371 5.386 2,315 2,542 2,191 1,947
865
897 2,462 2,531 2,909 2,855
2,951 2,982 1,222
1,136
975
1,391
594
616 1,302 1,302 1,649 1,680
2,420 2,405 1,093
1,055
972
1,152
271
281 1,160
1,230
1,175
1,260
887
258
977
655
34
254
595
67
374
530
447
513
1,533
798
1,428
496
237
717
499
214
786
645
783
747
478
1,058
156
217
129
556

392
1,036
143
267
109
517

150
348
26
181
12
129

1

125
372
20
221
9
122

243
555
106

36
81
332

201
516
103
42
73

297

83
155
25

36
94

66
148
20
4

27
97

307
479
35
105
51
289

233
550
50
179

65
256

169
579
121
112
78
267

159

486
93
88

45
260

discrimination.
4
Includes those who did not actively look for work in the prior 4 weeks for
such reasons as child-care and transportation problems, as well as a small
number for which reason for nonpartictpatiOn was not ascertained

Includes some persons who are not asked if they want a job.
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
2




May
2005

May
2004

Sex

48

HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-39 Multiple jobholders by selected demographic and economic characteristics

(Numbers in thousands)

Rate

Number

Characteristic

May

M»/

2004

2005

7,258
273
8,985
736
6,250
5,230
1,014
341
173

7,34:S

women

Men

Both sexes
1

Number

May

May
2004

2005

5.2
4.8

4.7

Rate

1

Number

Rate 1

May
2004

May
2004

May

May

May

2005

2005

2004

2005

May
2004

2005

3,741
108
3,633
333
3,300
2,698
602
477
125

4.9
3.7
5.0
4,6
5.0
5.1
4.6
4.9
3.4

4.9
3.9
5.0
4.6
5.0
5.1
4.8
4.9
4.3

3,605
170
3,435
412
3,024
2,544
480
394
85

3,607
161
3,447
436
3,011
2,476
535
440
95

5.6
5.8
5.6
6.4
5.5
5.6
4J
4.9
3.9

5.5
5.5
5.5
66
5.4
5.4
5.0
5.2
4.2

May

May

AGE
Total, 16 years and over 2
16 to 19 years
.

20 years and over
20 to 24 years

....

..........
..,......,„

25 years and over
25 to 54 years
55 years and over ........................................
55 to 64 years

65 years and over

7,030

5.2

7m
6,311
5,1751
1,137
9T«
22C

5.4
5.2
5.4
4.6
4.9
3.6

5.2
5.8
5.2
5.2
4.9
5.0
4.2

3,653
103
3,550
324
3,226
2,691
535
446
83

6,108
755
221
617

6,273
630
213
532

5.3
5.1
3.7
3.4

5.4
4.4
3.5
2.8

3,071
384
113
353

3,191
361
92
312

4.9
5.6
3.5
3,3

5,0
5.0
2.8
2.7

3,038
371
108
263

3083
319
120
220

5.8
4.7
4.0
3.7

5.8
3.9
4.2
3.0

4,020
1,183
2,055

4,2611
1,0811
1,992

5.1
5.3
5.5

5.3
4.8
5.2

2,338
392
923

2,514
349
878

5.2
4.4
4.5

5.5
3.7
4.2

1,682
791
1,133

1,754
739
1,114

4.9
5.9
6.7

5.1
5.5
6.4

3,859
1,649
251
1,483

3,763
1,744
312
1,604

2,110
513
151
872

2,111
547
217
851

—

1,652
1,197
95
653

—

—
—

-

1,749
1,136
101
611

5.2

RACE AND HISPANIC OR LATINO ETHNICITY
White
....„
Black or African American
Asian ,
Hispanic or latino ethnicity
MARITAL STATUS
Married, spouse present —
Widowed, divorced, or separated
Never married

FULL- OR PART-TIME STATUS
Primary job full time, secondary Job part time
Primary and secondary Jobs both part time
Primary and secondary jobs both full time
Hours vary on primary or secondary job

_

1
Multiple jobholders as a percent ©f all employed persons In specified
group.
2
Includes a small number of persons who work part time on their primary
job and full time on their secondary jobs($), not shown separately.
NOTE: Estimates for the above race groups (white, black or African
American, and Asian) do not sum to totals because data are not presented few-




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. Dash indicates no data or data that do not meet publication
criteria.

4.9

ESTABLISHMENT DATA
HISTORICAL EMPLOYMENT
B-1. Employees on nonfarm payrolls by major industry sector, 1955 to date
(In thousands)
Goods-producing
Year
and
month

Total

Total
private

Total

Service-providing

Natural
resources Construc- Manufaction I turing
and
mining

Totaf

Trade.
transportation
and
utilities

information

Financial
activities

ProfesEducation Leisure
sional
Other
Governand
and
and
health hospitality services ment
business
services
services

Annual averages
1955..
1956..
1957 ..
1958 ..
19591..
1960 ...

50,744
52,473
52,959
51,426
53,374
54,296

43,722
45,037
45,235
43,480
45,182
45,832

19,234
19,799
19,669
18,319
19,163
19,182

828
859
864
801
789
771

2,881
3,082
3,007
2,862
3,050
2,973

15,524
15,858
15,798
14,656
15,325
15.438

31,510
32,674
33,290
33,107
34,211
35,114

10,612
10,921
10,942
10,656
10,960
11,147

1,735
1,778
1,780
1,674
1,718
1,728

2,212
2,299
2,348
2,386
2,454
2,532

3,320
3,437
3,504
3,449
3,591
3,694

2,491
2,593
2,676
2,695
2,822
2,937

3,140
3,242
3,267
3,243
3,365
3,460

978
1,018
1,050
1,053
1,107
1,152

7,021
7,386
7.724
7,946
8,192
8,464

1961 .
1962.
1963.
19$4,
1965 .
1966.
1967.
1963,
1969.
1970.

54,105
55,659
56,764
58,391
60,874
64,020
65,931
68,023
70,512
71,006

45,399
46,655
47,423
48,680
50,683
53,110
54,406
56,050
58,181
58,318

18,647
19,203
19,385
19,733
20,595
21,740
21,882
22,292
22,893
22,179

728
709
694
697
679
671
683
677

2,908
2,997
3,060
3,148
3,284
3,371
3,305
3,410
3,637
3,654

15,011
15,498
15,631
15,868
16,617
17,680
17,897
18,211
18,573
17,848

35,458
36,455
37.379
38,658
40,279
42,280
44,049
45,731
47,619
48,827

11,040
11,215
11,367
11,677
12,139
12,611
12,950
13,334
13,853
14,144

1,723
1,735
1,766
1,824
1,908
1,955
1,991
2,048
2,041

2,590
2,656
2,731
2,811
2,878
2,961
3,087
3,234
3,404
3,532

3,744
3,885
3,990
4,137
4,306
4,517
4,720
4,918
5,156
5.267

3,030
3,172
3,288
3,438
3,587
3,770
3,986
4,191
4,428
4,577

3,468
3,557
3,639
3,772
3,951
4,127
4,269
4,453
4,670
4,789

1,188
1,243
1,288
1,346
1,404
1,475
1,558
1,638
1,731
1,789

8,706
9,004
9,341
9,711
10,191
10,910
11,525
11,972
12,330
12,687

1971 ,
1972.
1973.
1974.
1975 .
1976 .
1977 .,
1978 .
1979 .
1980 .

71,335
73,798
76,912
78,389
77,069
79.502
82,593
86,826
89,932
90,528

58,323
60,333
63,050
64,086
62,250
64,501
67,334
71,014
73,864
74,154

21,602
22,299
23,450
23,364
21,318
22,025
22,972
24,156
24,997
24,263

658
672
693
755
802
832
865
902
1,008
1,077

3,770
3,957
4,167
4,095
3,608
3,662
3,940
4,322
4,562
4,454

17,174
17,669
18,589
18,514
16,909
17,531
18,167
18,932
19.426
18,733

49,734
51,499
53,462
55,025
55,751
57,477
59,620
62,670
64,935
66,265

14,318
14,788
15,349
15,693
15,606
16,128
16,765
17 658
18.303
18,413

2,009
2,056
2,135
2,160
2,061
2,111
2,185
2,287
2,375
2,361

3,651
3,784
3,920
4,023
4,047
4,155
4,348
4,599
4,843
5,025

5,328
5.523
5,774
5,974
6,034
6,287
6,587
6,972
7,312
7.544

4,675
4,863
5,092
5,322
5,497
5,756
6,052
6,427
6,767
7.072

4.914
5,121
5,341
5,471
5,544
5,794
6,065
6,411
6,631
6,721

1,827
1,900
1,990
2,078
2,144
2,244
2,359
2,505
2,637
2,755

13,012
13,465
13,862
14,303
14,320
15,001
15,258
15,812
16,068
16,375

1981 ..
1982 .
1983 ..
1984.
1985 .
1986 ,.
1987 ..
1988 ,
1989 1990..

91,289
89,677
90,280
94,530
97,511
99,474
102,088
105,345
108,014
109,487

75,109
73,695
74,269
78,371
80,978
82.636
84,932
87,806
90,087
91.072

24,118
22,550
22,110
23,435
23,585
23,318
23,470
23,909
24,045
23,723

1,180
1,163
997
1,014
974
829
771
770
750
765

4,304
4,024
4,065
4,501
4,793
4,937
5,090
5,233
5,309
5,263

18,634
17,363
17,048
17,920
17,819
17,552
17,609
17,906
17,985
17,695

67,172
67,127
68,171
71,095
73,926
76,156
78,618
81,436
83,969
85,764

18,604
18,457
18,668
19.653
20,379
20,795
21,302
21,974
22,510
22r666

2,382
2,317
2,253
2,398
2,437
2,445
2.507
2,585
2,622
2,688

5,163
5,209
5,334
5,553
5,815
6,128
6,385
6,500
6,562
6,614

7,782
7,848
8,039
8,464
8,871
9,211
9,608
10,090
10.5S5
10,848

7,357
7,515
7,766
8,193
8,657
9,061
9,515
10,063
10,616
10,984

6,840
6,874
7,078
7,489
7,869
8,156
8,446
8,778
9,062

2,865 16,180
2,924 15,982
3,021 16,011
3,186 16,159
3,366 16,533
3,523 16,833
17,156
3,907 17,540
4,116 17,927
4,261 18,415

1991 .
1992..
1993 ..
1994..
1995 ..
1996..
1997 ..
1998 ..
1999 ..
2000 ..

108,374
108,726
110,844
114,291
117.298
119,708
122,776
125,930
128,993
131,785

89,829
89,940
91,855
95,016
97,866
100,169
103,113
106,021
108,686
110,996

22,588
22,095
22,219
22,774
23,156
23,410
23,836
24,354
24,465
24,649

739
689
666
659
641
037
654
645
598

4,780
4,608
4,779
5,095
5,274
5,536
5,813
6,149
6,545
6,787

17,068 85,787
16,799
86,631
16,774
88,625
17,021
91,517
17,241 94,142
17,237
96,299
17,419
98,890
17,560 101,576
17,322 104,528
17,263 107,136

22.281
22,125
22,378
23,128
23,834
24,239
24,700
25,186
25,771
26,225

2,677
2,641
2,668
2.738
2,843
2,940
3,084
3,218
3,41®
3,631

6,558
6,540
6,709
6,867
6,827
6,969
7,178
7,462
7,648
7,687

10,714
10,970
11,495
12.174
12.844
13,462
14.335
15,147
15,957
16,666

11,506
11,891
12,303
12,807
13,289
13,683
14,087
14,446
14,798
15,109

9,256
9,437
9,732
10,100
10,501
10,777
11,018
11,232
11,543
11,862

4,249
4,240
4,350
4,428
4,572
4,690
4,825
4,976
5,087
5,168

18,545
18,787
13,989
19,275
19,432
19,539
19,664
19,909
20,307
20,790

2001 ,.
2002 ..
2003 ..
2004..

131,826
130,341
129,999
131,480

110,707
108,828
108,416
109,862

23,873
22,557
21,816
21,884

606
583
572
591

6,826
6,716
6,735
6,964

16,441 107,952
15,259 107,784
14,510 108,182
14,329 109,596

25,983
25,497
25,287
25,510

3,629
3,395
3,188
3,138

7,807
7,847
7,977
8,052

16.476
15,976
15.987
16,414

15,645
16,199
16,588
16,954

12,036
11,986
12,173
12,479

5,258
5,372
5,401
5,431

21,118
21,513
21,583
21,618

Monthly data, seasonally adjusted
2004:
May
June
July
August
September
October
November
December
2005:
January
February
March
AprfP...

7,043
7,060
7,086

14,347
14,344
14,341
14,366
14,352
14,344
14,337
14,334

109.485
109,589
109,660
109,804
109,933
110,180
110,298
110,427

25.511
25,536
25,536
25,537
25,555
25,581
25,621
25,620

3,146
3,151
3,144
3,135
3,127
3,131
3,133
3,127

8,037
8,051
8,043
8,058
8,083
8,093
8.107
8,128

16,384
16,415
16,453
16,470
16,514
16,614
16,611
16,674

16,913
16,936
16,963
17.010
17,019
17,081
17,108
17,142

12,474
12,436
12,497
12 508,
12,522
12,540
12,571
12,589

5,434
5,443
5,438
5,441
5,436
5,434
5,441
5,447

21,586
21,571
21,536
21,645
21,677
21,700
21,706
21,700

7,090
7,133
7,159
7,207
7,227

14,307 110,569
14,321 110,807
14,315 110,902
14,306 111,134
14,299 111,198

25,652
25.714
25,743
25,793
25,824

3,123
3,127
3,134
3,149
3,141

8,150
8,165
8,167
8,181
8,185

16,604
16,775
16,796
16,829
16,828

17,178
17,186
17,210
17,244
17,284

12,611
12,650
12,662
12,725
12,719

5,451
5,457
5,459
5,469
5,468

21,710
21,733
21,731
21,744
21,749

131,373
131,479
131,562
131,750
131,880
132,162
132,294
132,449

109,787
109,908
109,976
110,105
110,203
110,462
110,588
110,749

21,888
21,890
21,902
21,946
21,947
21,982
21,996
22,022

592
591
596
595
597
595
599
602

6,949
6,955
6,965
6,935

132,573
132,873
132,995
133,269
133,347

110,363
111,140
111,264
111,525
111,598

22,004
22,066
22,093
22,135
22,149

607
612
619
B22
623

1
Data include Alaska and Hawaii beginning in 1959. This inclusion resulted in an increase
of 212,000 (0.4 percent) in the nonftvm total for the March 1959 benchmark month,

NOTE: Data are currently projected from March 2004 benchmark levels. When more




50

recent benchmark data are introduced with the release of January 2006 estimates, ali
unadjusted data (beginning April 2004) and all seasonally adjusted data (beginning
January 2001) are subject to revision.

ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupttrvisory workers1 on private nonfamn payrolls by major industry
sector, 1964 to d t e
•

Year and
month

Weekiy
hours

Hourly
earnings

Natural resources
and mining

Goods-producing

Total private

Weekly
earnings

Weekiy
hours

Weekly
earnings

Houf%
earning

Weekly
hours

Construction

Hourly
earnings

Weekly
earnings

Weekly
hours

Hourly
earnings

Weekly
earnings

Annual averages
1964
1965
1966
1967
1968
1969

33.5
38.6
38.5
37.9
37.7
37.5

$2.53
2.63
2.73
2.85
3.02
3.22

$97.41
101.52
105.11
108.02
113.85
120.75

40.3
40.7
40.9
40.3
40.3
40.3

1970
„„.„.
1971 „... ........„,
1972 ................
1973 ............
1974 ..............
1975 .................
1976
1977 . . , ...;
1978 ............
1979 ...............

37.0
36.8
36.9
36.9
36.4
36.0
36.1
35.9
35.8
35.6

3.40
3.63
3.90
4.14
4.43
4.73
5.06
5.44
5.87
6.33

125.80
133.58
143.91
152.77
161.25
170,28
182.67
195.30
210.15
225.35

39.6
39.5
39.9
40.1
39.6
39.1
39.7
39.9
40.0
39.8

3.82
3.79
41.6
4.34
4.69
6.11
5.49
5M
6.4il

1980
. ..
1981
1982
t983
1984 ... .........
1985 .. .........
1986
1987 .................
1988
1989

35.2
35.2
34.7
34.9
35.1
34.9
34.7
34.7
34.6
34.5

6.84
7.43
7.86
8.19
8.48
8.73
8.92
9.13
9.43
9.80

240.77
261.54
272.74
285.83
297.65
304.68
309.52
316.81
326.28
338.10

39.5
39.6
38.8
39.8
40.3
40.1
40.1
40.4
40.4
40.4

7.611

1990
1091 „
.„...„
1992
. .
1993 ... ......
1994
. .
1995 . ..............
1996 .................
1997 . ..............
1998 .................
1999 ................

34.3
34.1
34.2
34.3
34.5
34.3
34.3
34.5
34.5
34.3

10.19
10.50
10.76
11.03
11.32
1164
12.03
12.49
13.00
13.47

349.29
358.06
367.83
378.40
390.73
399.53
412.74
431.25
448.04
462.49

2000
2001 ...........
2002 .............
2003 .................
2004 ................

34.3
34.0
33.9
33.7
33.7

14.00
14.53
14.95
15.35
15.67

480.41
493.20
506.07
517.30
528.56

$101.96
107.04
112.07
115.66
123.72
132.59

43.4
43.7
44.1
43.9
44.0
44.3

$2.76
2.87
3.00
3.14
3.30
3,54

$119.78
125.42
132.30
137.85
145,20
156.82

37.7
37.9
38.1
38.1
37.8
38.4

$3.08
3 23
3.41
3.63
3.92
4.30

$116.12
12242
129.92
138.30
14818
165.12

139.39
149.71
161.99
174.03
185.72
199.80
217.95
237.01
259.20
280.19

43.9
43.7
44.0
43.8
43.7
43.7
44.2
44.7
44.9
447

3.77
3.99
4.28
4.59
5.09
5.68
6.19
6.70
7.44
8.20

165.50
174.36
188.32
201.04
222.43
248.22
273.60
299.49
334.06
366.54

37.8
37.6
37.0
37.2
37.1
36.9
37.3
37.0
37.3
37.5

4.74
5.17
5.55
5.89
6.29
6.78
7.17
7.56
8.11
8.71

179.17
194.39
205.35
219.11
233.36
250.18
267.44
279.72
302.50
326.63

10.01
10.20
10.30
10.69
11.04

302.57
333.04
349.20
370.94
389.70
401.40
409.02
419.76
431.88
446.02

44.9
45.1
44.1
43.9
44.6
44.6
43.6
43.5
43.3
44.1

8.97
9.89
10.64
11.14
11.54
11.87
12.14
12.17
12.45
12.91

402.75
446.04
469.22
489.05
514.68
529.40
529.30
529.40
539.09
569.33

37.5
37.4
37.2
37.6
38.2
38.2
37.9
38.2
38.2
38.3

9.37
10.24
11.04
11.36
11.56
11.75
11.92
12.15
12.52
12.98

351.38
382.98
410.69
427.14
441.59
448.85
45177
464.13
478.26
497.13

40.1
40.1
40.2
40.6
41.1
40.8
40.8
41.1
40.8
40.8

11.46
11.76
11.99
12.28
12.63
12.96
13.38
13.82
14.23
14.71

459.55
471.32
482.58
498.32
519.58
526.62
546.48
568.43
580.99
599.99

45.0
45.3
44.6
44.9
45.3
45.3
46.0
46.2
44.9
44.2

13.40
13.82
14.09
14.12
14.41
14.78
15.10
15.57
16.20
16.33

602.54
625.42
629.02
634.77
653.14
670.32
695.07
720.11
727.28
721.74

38.3
38.1
38.G
38.4
38.8
38.8
38.9
38.9
38.8
39.0

13.42
13.65
13.81
14.04
14.38
14.73
15.11
15.67
16.23
16.80

513.43
520.41
525.13
539.81
558.53
57157
588.48
609.48
629.75
655.11

40.7
39.9
39.9
39.8
40.0

15.27
15.78
16.33
16.80 |
17.19

621.86
630.04
65161
669.13
688.03

44.4
44.6
43.2
43.6
44.5

16.55
17.00
17.19
17.56
18.08

734.92
757.92
741.97
765.94
804.03

39.2
38.7
38.4
38.4
38.3

17.48
18.00
18.52
18.95
19.23

685.78
695.89
711.82
726.83
735.70

2.(83
2.74
2.H7
3.OT

3.ISI

7.04 |

8.41
9.00 |
9,32
9.6?

Mont4)f data, not seasonally adjusted
2004:
May ..............
June
. .... .
July
August
September
October..........
November......
December......

34.0
33.7
33.9
34.2
33.8
33.8
33.6
33.8

$15.63
15.56
15.59
15.66
15.79
15.82
15.84
15.88

$531.42
524.37
528.50
535,57
530.54
534.72
532.22
536.74

40.3
40.2
40.0
40.3
39.7
40.1
40.0
40.3

$17.10
17.14
17.18
17.28
17.40
17.39
17.37
17.43

$689.13
689.03
687.20
696.38
690.78
697.34
694.80
702.43

44.3
44.5
44.5
44.8
44.3
45.4
45.3
45.3

$18.00
18.12
18.02
17.95
17.97
18.07
18.21
18.46

$797.40
806.34
801.89
804.16
796.07
820.38
824.91
336.24

38.7
38.5
39.1
39.1
37.6
38.7
38.2
38.2

$19.15
19.12
19.24
19.33
19.42
19.47
19.35
19.31

$74111
736.12
752.28
755.80
730.19
753.49
739.17
737.64

2005;
January. .......
February ........
fyjarch
April*5. . . .....
Mayp

33.6
33.5
33.5
33.6
33.9

16.00
15.96
15.95
16.01
18.03

537.80
534.66
534.33
537.94
543.42

39.5
39.4
39.7
39.9
40.0

17.31
17.34
17.37
17.48
17.60

683.75
683.20
689,59
697,45
700,00

45.0
44.6
45.0
45.3
46.1

18,53
18.45
18.36
18.67
18.61

833.85
822.87
826.20
845.75
857.92

36.8
37.1
37.8
38.8
38.9

19.12
19.20
19.25
19.35
19.32

703.62
712.32
727.65
750.78
75155

See footnotes a! end of table.




51

ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisoiy workers1 on private nonfarm payrolls by major industry
sector, 19S4 to date—Continued
'
Manufacturing

Year and
month

Weekly
hours

Hourly
earnings

Hourly
earnings,
excluding
overtime

Durable goods

Weekly
earnings

Weekly
hours

Hourly
earnings

Hourly
earnings,
excluding
overtime

Nondurable goods

Weekly
earnings

Weekly
hours

Hourly
earnings

Hourly
earnings,
excluding
overtime

Weekly
earnings

Annual averages
40.8
41.2
41.4
40.6
40.7
40.6

$2.41
2.49
2.60
2.71
2.89
3.07

$2.32
239
2.48
2.60
2,77
2.94

$98.33
102.59
107.64
110.03
117.62
124.64

41.6
42.1
42.3
41.3
41.5
41.4

$2.65
2.73
2.84
2.94
3.13
3.32

$2.55
2.61
2.70
2.82
3.00
3.18

$110,24
114.93
120.13
121.42
129.90
137.45

39.6
39.9
40.1
39.6
39.7
39.5

$2.06
2.13
222
2.34
2.51
2.68

$1.99
2.05
2.13
2.25
2.41
2.57

$8158
84,99
89.02
92.66
99.65
105,86

1970
...... ..
1971
... .
1972
1973
1974
1975
1976
1977
1978
1979 .
.. .

39.8
39.9
40.6
40.7
40.0
39.5
40.1
40.3
40.4
40.2

3.23
3.45
3,70
3.97
4.31
4.71
5.09
5.55
6.05
6.57

3.12
3.33
3.55
3,79
4.14
4.56
4.91
5.33
5.79
6.31

128.55
137.66
150.22
161.58
172.40
186.05
204.11
223.67
244.42
264.11

40.4
40.4
41.3
41.6
40.8
40.0
40.8
41.1
41.2
40.9

3.49
3.74
4.01
4,29
4.64
5.09
5.51
5.99
6.51
7.05

3.37
3.61
3.84
4.09
4.46
4.93
5.31
5.74
6.22
6.77

141.00
151.10
16561
178.46
189.31
203.60
224.81
246.19
268.21
288.35

39.0
39.1
39 5
39.4
38.9
38.6
39.2
39 2
39.2
39.1

2.85
3.04
3 25
3.47
3.78
4.14
4.47
4 88
5.30
5.78

2.75
2.93
3 12
3,33
3.64
4.00
4.31
4 69
5.10
5.57

111.15
118.86
128 38
136.72
147.04
159,80
175.22
191 30
207.76
226.00

1980
1981
1982
1983
1984
1985
1986
1987
1988
1989

39.7
39.8
38.9
40.1
40.7
40.5
40.7
40.9
41.0
40.9

7.15
7.86
8.36
8.70
9.05
9.40
9.59
9.77
10.05
10.35

6.90
7.60
8.12
8.39
8.69
9.03
9.21
9.35
9.60
9.89

283.86
312.83
325.20
348.87
368.34
380.70
390.31
399.59
412.05
423.32

40.2
40.3
39.4
40.8
41.5
41.3
41.4
41.6
41.9
41.7

7.68
8.45
8.96
9.30
9.65
10.01
10.20
10.35
10.64
10.93

7.42
8.17
8.72
8.98
9.25
9.61
9.79
9.90
10.15
10.45

308.74
340.54
353.02
379.44
400.48
413.41
422.28
430.56
445.82
455.76

38.fl
38.9
38.2
39.2
39.4
39.4
39.0
40.0
39.9
39.9

632
6 95
750
7.84
8.14
8.47
8.71
8.93
9.19
9.50

610
672
726
7 56
7 83
815
8,36
8 55
8.80
9.09

245 22
270 36
286 50
307 33
320 72
333 72
344 92
357 20
366.68
379.05

1990
1991
1992
1993
1994
1995
1998
1997
1998
1999

40.5
40.4
40.7
41.1
41.7
41.3
41.3
41.7
41.4
41.4

10.78
11.13
11.40
11.70
12.04
12.34
12.75
13.14
13.45
13.85

10.29
10.63
10.86
11.10
11.36
11.68
12.05
12.38
12.71
13.09

436.16
449.73
464.43
480.80
502.12
509.26
526.55
548.22
557.12
573.17

41.1
40.9
41.3
41.9
42.6
42.1
42.1
42.6
42.1
41.9

11.40
11.81
12.09
12.41
12.78
13.05
13.45
13.83
14.07
14.46

10.89
11,30
11.54
11.78
12.04
12.32
12.69
13.00
13.28
13.65

468.43
483.28
499.59
519.92
544.66
549.49
566.53
589.10
591.68
606.67

39,6
39J
40.0
40.1
40.5
40.1
40.1
40.5
40.5
40.4

9.87
10.18
10.45
10.70
10.96
11.30
11.68
12,04
12.45
12.85

9.42
9.70
9.94
10.16
10,38
10.73
11.07
11.39
11.79
12,17

390,65
404.17
417.95
429.15
443.82
452.63
467.88
487.04
503.99
519.91

41.3
40.3
40.5
40.4
40.8

14.32
14.76
15.29
15.74
16.14

13,55
14.06
14.54
14.96
15.29

590.65
595.19
618.75
635.99
658.53

41.8
40.6
40.8
40.8
41.3

14.93
15.38
16.02
16.45
16.82

14.11
14.67
15.23
15.63
15.92

624.38
624.54
652.97
67121
694.16

40.3
39.9
40.1
39.8
40.0

13.31
13.75
14,15
14.63
15.05

12.62
13.09
13.44
13.91
14.27

536.82
548.41
566.84
582.61
602.48

1964
1965
1966
1967
1968
1969

..

,

2000
2001
2002
2003
2004

.... .,

.

,.
.-

Monthly data, not seasonally adjusted
2004:
May
June ................
July
August
September
October
November
December
2005:
January
February
March

wSyKZZZZZZ

41.1
41.0
40.3
40.9
40.6
40.7
40.8
41.2

$16.04
16.08
16.03
16.16
16.35
16.26
16.32
16.46

$15.19
15.23
15.20
15.28
15.46
15.37
15.45
15.54

$659.24
659.28
646.01
660.94
663.81
661.78
665.86
678.15

41.6
41.5
40.6
41.3
40.9
41.2
41.2
41.7

$16.70
16.73
16.60
16.84
17,06
16.98
17.04
1722

$15.79
15.82
15.75
15.93
16.15
16.0S
16.12
16.23

$694.72
694.30
673.96
695.49
697.75
699.58
702.05
718,07

40.2
40.2
39.8
40.2
40.1
39.9
40.1
40,3

$14.97
15.03
15.13
15.08
15.23
15.11
15.16
15.21

$14.21
14.25
14.34
14.26
14.37
14.30
14.35
14.41

$60179
604.21
602.17
606.22
610.72
602.89
607.92
612.96

40.6
40.4
40.4
40.2
40.4

16.42
16.43
16.41
16.45
16.48

15.58
15.58
15.58
15.61
15.65

006.6%)

663.77
662.96
661.29
665.79

41.0
40.9
40.9
40.7
40.8

17.15
17.20
17.16
17.20
17.21

16.26
16.30
16.28
16.34
16.33

703,15
703,48
701.84
700.04
702.17

39.9
39.6
39.6
39.5
39.7

15.24
15.17
15.19
15.21
15.27

14.48
14,41
14.43
14.46
14.50

608.08
600.73
601.52
600.80
606,22

See footnotes at end of table.




52

ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsuf >e rvisory workers1 on private nonfarm payrolls by major industry
sector, 1964 to date—Continued
Trade, transportation,
and utilities

Private
service-providing
Year and
month

Weekly
hours

Hourly
earnings

Weekly
earnings

Weekly
hours

Information

Weekly
earnings

Hourly
earning:

Weekly
hours

Financial activities

Hourly
earnings

Weekly
earnings

Weekly
hours

Hourly
earnings

Weekly
earnings

Annual averages
$2,85
2.94
3.04
3,111
3.32
3.411

$113.15
116.42
118.86
121.28
126.82
131.89

38.2
38.3
38.3
37.6
37.6
37.$

$4.35
4.47
4.56
4.68
4.85
5.05

$166.17
171.20
174.65
175.97
182.38
189.88

37.2
37.1
37.2
36.9
36.8
36.9

$2.29
2.3B
2.47
2.58
275
2.92

$85.19
88.30
91.88
95.20
101.20
10775

3.B&

137.24
144.36
158.20
165.54
174.43
182.73
192.75
204.12
217.16
231.87

37.2
37.0
37.3
37.3
37.0
36.6
367
36.8
36.8
36.6

5.25
5.53
5.87
6.17
6.52
6.92
7.37
7.84
8.34
8.86

195.30
204.61
218.95
230.14
241.24
253.27
270.48
288.511
306.91
324.28

36.6
36.4
36.4
36.4
36.3
36.2
36.2
36.2
36.1
35.9

3.07
3.23
3,37
3.55
3.80
4.08
4.30
4.58
4.93
5.31

112.36
117.57
122.67
129.22
137.94
14770
155.66
165.80
177.97
190.63

246.40
263.50
273.69
284 76
293.22
295.84
298.03
304.17
309.27
319.75

36.3
36.3
35.8
36.2
36.6
36.5
36.4
36.5
36.1
36.1

9.47
10.21
10.76
11.18
11.50
11.81
12.08
12.36
12.63
12.99

34376
370.62
385.21
40472
420.90
431.07
43971
451.14
455.94
468.94

36.0
36.0
36.0
35.9
36.2
36.1
36.1
36.0
35.6
35.6

5.82
6.34
6.82
7.32
7.65
7.97
8.37
873
9.07
9.54

209.52
228.24
245.52
26279
276.93
28772
302.16
314,28
322.89
339 62

10.80
11.10 '
11.46
11.9G
12.3S
12.82

331.55
339.19
348.68
359.33
370.38
378.79
390.64
407.57
423.30
434.31

35.8
35.6
35.8
36.0
36.0
36.0
36.4
36.3
36.6
36.7

13.40
13.90
14.29
14.86
15.32
15.68
16.30
17.14
17.67
18.40

479.50
495.20
512.01
535.25
551.28
564.08
592.68
622.40
646.52
675.32

35.5
35.5
35.6
35.5
35.5
35.5
35.5
357
36.0
35.8

9.99
10.42
10.86
11.36
11.82
12.28
1271
13.22
13.93
14.47

354.65
369.57
386.01
403.02
419.20
436.12
451.49
472.37
500.95
517.57

13.31
13.70
14.02
14.34
14.50

449.88
450.53
471.27
481.14
488.58

36.8
36.9
36.5
36.2
36.3

19.07
19.80
20.20
21.01
21.42

700.89
731.11
738.17
760.81
777.42

35.9
35.8
35.6
35.5
35.5

14.98
15.59
16.17
17.14
17.53

537.37
558.02
575.51
609.08
622.99

37.5
37 3
36.9
36.4
36.1
35.9

$2.53
2.63
2.73
2.84
2.99
3.17

$94.88
98.10
100.74
103.38
107.94
113.80

30.7
39.6
39.1
38.5
38.2
37.9

35.5
3S.3
35.2
35.1
34.8
34.5
34.3
34.1
33.8
33.6

3.33
3.53
3.81
4.01
4.28
4.54
4.82
5.16
5.55
5.95

118.22
124.61
134.11
140.75
148.94
156.63
165.33
175.96
187.59
199.92

37.6
37.4
37.4
37.2
36.8
36.4
36.3
36.0
35.6
35.4

33.4
33.3
33.2
33.2
33.2
33.0
32.9
32.8
32.7
32.6

6.42
8.94
7.35
7.70
7.95
8.17
8.38
3.62
8.91
9.31

214.43
231.10
244.02
255.64
263.94
269.61
275.70
282.74
291.36
303.51

35.0
34.9
34.6
34,6
34.7
34.4
34.1
34.1
33.8
33.8

7.04
7.55

9.71
10.05
10.33
10.60
10.87
11.19
11.57
12.05
12.59
13,07

316,49
325.31
335.46
345.03
354.97
364.14
376.72
394.77
412.78
427.30

33.7
33,7
33.8
34.1
34.3
34.1
34.1
34.3
34.2
33.9

9.83
10.011
10.30

,.,...
................
.................
.................

32.5
32.4
32.5
32.5
32.7
32.6
32.6
32.8
32.8
32.7

2000
2001 ...............
2002 .................
2003 .................
2004

32.7
32,5
32.5
32.4
32.3

13.60
14.16
14.56
14.96
15.26

445.00
460.32
472.88
483.89
493.67

33.8
33.5
33.6
33,6
33.5

1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979

...
.................
...........
................
..................
..................

,.,...........
.................
..............
................
.. . ........

1980

• ...

1981
1982
1983
1984
1985
1986
1987
1988
1989

. . .....
..........
.................

1990
1991
1992
1993
1994
1995
1996
1997
1998
1999

.................
.................
.................
.................

. ...
'.
, ... ......

ZM
4.221
4.4fr
4.74
5.02
5.81
5.67
6.10
6.115

7J1
8.23
S.4S
8.60
8.74 I
8.82
0.1S
9.41!

• 10.51?

Monthly data, not seasonally adjusted
2004;
May
June . .. .........
July . ...........
August
September.....
October
November......
December......
2005:
January,

February
March ..
April1*
May'..

......

32.6
32.3
32.5
32.8
32.3
32.4
32.2
32.4

115.23
15.13
15.16
15,22
15.35
15.40
15,43
15.46

$496.50
488.70
492.70
499.22
495.81
498.96
496.85
500.90

33J

33.5
33.8
34.0
33.6
33.5
33.3
33.6

$14.58
14.55
14.56
14.58
14.69
14.69
14.67
14.61

$491.35
487.43
492.13
495.72
493.58
492.12
488.51
490.90

36.3
36.6
36.3
36.8
36.2
36.3
36.3
36.4

$21.40
21.16
21.29
21.43
21.73
21.69
2170
2174

$776.82
774.46
772.83
788.62
786.63
787.35
78771
791.34

36.1
35.3
35.4
36.1
35.2
35.5
35.5
35.5

$17.64
17.40
17.46
17.59
17.62
17.68
17.61
17.67

$636.80
614.22
618.08
635.00
620.22
627.64
625.16
627.29

32.4
32.2
32.1
32.3
32.6

15.66
15.60
15.59
15.62
15.64

507.38
502.32
500.44
504.53
509.86

33.2
33.2
33.2
33.3
33.6

14.88
14.86
14.88
14.94
14,92

494.02
493.35
493.35
497.50
501.31

36.6
36.3
36.1
36.1
36.6

21.83
21.67
21.68
21.92
21.99

798.98
786.62
782.65
791.31
804.83

36.4
357
35.6
357
36.5

17.83
1773
1776
17.87
17.94

649.01
632.96
632.26
637.96
654.81

See footnotes at end of table.




53

ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry
sector, 1964 to date—Continued
*
Professional and
business services
Year and
month

Weekly
hours

Hourly
earnings

Leisure anc1
hospitality

Education and
health services

Weekly
earnings

Weekly
hours

Hourly
earnings

Weekly
earnings

Weekly
hours

Other services

Hourly
earnings

Weekly
earnings

Weekly
hours

Hourly
earnings

Weekly
earnings

Annual averages
1964
1965
1966
1967 ...,
1968
1969

37.4
37.3
37.0
36.6
36.3
36.3

$317
3.28
3.39
3.51
3.65
3.84

$118.56
122.34
125.43
128.47
132.50
139.39

35.5
35.2
34.9
34.5
34.1
34.1

$2.01
2.12
2.23
2.36
2.49
2.68

$71.36
74.62
77.83
8142
84.91
91.39

32.8
32.5
319
313
30.8
30.4

$106
114
123
134
149
164

$34.77
37.05
39 24
41.94
45 89
49.86

36.3
36.1
35 8
354
35 0
35.0

$114
125
1 37
149
1 62
181

$4138
45.13
49 05
52 75
5670
63.35

1970
1971
1972
1973
1974
1975
1976
1977
1978
1979

35.9
35.5
35.5
35.5
35.3
35.1
34.9
34.7
34.6
34.4

4.04
4.26
4.50
4.72
5.01
5.29
5.60
5.95
6.32
6.71

145.04
151.23
159.75
167.56
176.85
185.68
195.44
206.47
218.67
230.82

33.8
33.3
33.3
33.3
33.1
33.0
32.7
32.5
32.3
32.2

2.88
3.11
3.33
3.54
3.82
4.09
4.39
4.72
5.07
5.44

97.34
103.56
110.89
117.88
126.44
134.97
143.55
153.40
163.76
175.17

30.0
29.9
29,7
29.4
29.1
28.8
26.5
28.1
27.7
27.4

178
190
2.03
2.15
2.34
2.52
2.71
2.96
3.25
3.54

53.40
56.81
60.29
63.21
68.09
72.58
77.24
83.18
90.03
97.00

347
342
34.2
34.1
33.9
33 8
336
334
33.2
33.0

2 01
224
2 46
2.67
2.95
321
3 51
384
419
4.56

69 75
7661
84.13
91.05
100.01
106 50
117 94
128 26
13911
150,48

1980
1981
1982
1983
1984
1985
1986
1987 .,
1988
1989

„

34.3
34.3
34.2
34.4
34.3
34.2
34.3
34.3
34.2
34.2

7.22
7.80
8.30
8.70
8.98
9.28
9.55
9.85
10.22
10.69

247,65
267.54
283.86
299.28
308.01
317.38
327.57
337.86
349.52
365.60

32.1
32.1
32.1
32.1
32.0
319
32.0
32.0
32.0
32.0

5.93
6.49
7.00
7.39
7.67
7.98
8.25
8.57
8.96
9.46

190.35
208.33
224.70
237.22
245.44
254.56
264.00
274.24
286.72
302.72

27.0
26.9
26.8
26.8
26.7
26.4
26.2
26.3
26.3
26.1

3.89
4.26
4.52
4.76
4.87
4.98
5.07
5.17
5.37
5.62

105,03
114.59
12114
127.57
130,03
13147
132.83
135.97
141.23
146.68

33.0
33.0
33.0
33.0
32.9
32.8
32.9
32.8
32.9
32.9

5 05
561
611
6 51
6.79
710
7.38
7.69
8.08
8.58

166 65
18513
201 63
214 83
223 39
232 88
242.80
252.23
265.83
282.28

1990
1991
1992
1993
1994 .... ....
1995
1996
1997
1998
1999

34.2
34.0
34.0
34.0
34.1
34.0
34.1
34.3
34.3
34.4

11.14
11.50
11.78
11.96
12.15
12.53
13.00
13.57
14.27
14.85

380.61
391.09
400.64
406.20
414.16
426.44
442.81
465.51
490.00
510,99

31.9
31.9
32.0
32.0
32.0
32.0
31.9
32.2
32.2
32.1

10.00
10.49
10.87
11.21
11.50
11.80
12.17
12.56
13.00
13.44

319.27
334.55
348.29
359.08
368.14
377.73
388.27
404.65
418.82
43135

26.0
25.6
25.7
25.9
26.0
25.9
25.9
26.0
26.2
26.1

5.88
6.06
6.20
6.32
6.46
6.62
6.82
7.13
7.48
7,76

152.47
155.16
159.54
163.45
168.00
171.43
176.48
185.81
195.82
202.87

32.8
32,7
32.6
32.6
32.7
32.6
32.5
32.7
32.6
32.5

9.08
9.39
9.66
9.90
10,18
10.51
10.85
1129
1179
12.26

297,91
306,91
315.08
322.69
332.44
342.36
352.62
368,63
384.25
39877

34.5
34.2
34.2
34.1
34.2

15.52
16.33
16.81
17.21
17.46

535.07
557.84
574.66
587.02
596.96

32.2
32.3
32.4
32.3
32.4

13.95
14,64
15.21
15.64
16.16

449.29
473.39
492.74
505.69
523.83

26.1
25.8
25.8
25.6
25.7

8.11
6.35
8.58
8.76
8.91

21179
215.19
22126
224.30
228.63

32.5
32.3
32,0
314
310

12.73
13,27
13,72
13,84
13.98

413.41
428.64
439.76
434,41
433.04

2000
2001
2002
2003
2004

.

...
,
,

. .

,.,

......

Monthly data, not seasonally adjusted
2004:
May
June
July
August
September......
October
November
December

34.6
34.1
34.1
34.7
34.0
34.2
34.2
34.1

$17.48
17.31
17.35
17.50
17.47
17.54
17.62
17.73

$604.81
590.27
591.64
607.25
593.98
599.87
602.60
604.59

32.5
32.3
32.6
32.8
32.4
32.4
32.4
32.5

$16.05
16.10
16.23
16.20
16.30
16.30
16.33
16.44

$52163
520.03
529.10
53136
528.12
528.12
529.09
534.30

25.9
25.9
26.3
26.6
25.3
25.6
25.3
25.4

$8.86
8.79
8.79
8.81
8.94
9.02
9.06
9.11

$229.47
227.66
23118
234.35
226.18
230.91
229.22
231.39

312
30.9
311
313
30.8
30.9
30.8
30.8

$14,00
13.92
13 88
13.93
14.06
14.06
14,12
14,17

$436.80
430.13
43167
436.01
433.05
434.45
434.90
436.44

2005:
January
February
March
ApriP
May?

34.0
33.9
33.9
34.1
34.5

18.06
17,91
17.83
17.85
18.04

614.04
607.15
604.44
608.69
622.38

32.9
32.5
32.4
32.4
32.7

16.47
16.46
16.51
16.53
16.55

541.86
534.95
534.92
535.57
54119

25.3
25.5
25.4
25.5
26.1

9.11
9.09
9.07
9.08
9.08

230.48
23180
230.38
23154
236 99

30.9
30.8
30.7
30.9
311

14,23
14.23
14.18
14,17
14.25

439.71
438.28
435.33
437.85
443.18

NOTE: Data are currently projected from March 2004 benchmark levels. When more
recent benchmark data are introduced with the release of January 2006 estimates, all
unadjusted data from April 2004 forward are subject to revision.

1
Oata relate to production writers in natural resources and mining and
manufacturing, construction workers In construction, and nonsupervisory workers
in the service-providing industries,
P= preliminary.




54

ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major Industry sector and selected industry detail, seasonally adjusted
(in thousands)
2004

2005

Industry

May
Total nortfanrs.
Total private . . . . . . .
Goods-producing.
Natural resources and mining .
Logging
..........
Mining
...
Oil and gas extraction.
....
1
Mining, accept oil and gas ...
Coal mining....
Support activities for mining .,
Construction....................................
Construction of buildings............
Residential building ..................
Nonresidents building . . . . . . . .
Heavy and civil engineering
construction.................................
Specialty trade contractors........
Residential specialty trade
contractors.
Nonresldenteai specialty trade
contractors.....................*..,......

June

July

Sept.

Aug.

Oct.

Nov.

Dec.

Jan.

Feb.

131,373 131,479 131,562 131,750 131,880 132,162 132,294 132,449 132,573 132873

Mar.

Apr.?

MayP

132,995 133,269 133,347

109,787 109,908 109,976 11C-/I05 110,203 110,462 110,588 110,749 110,863 111140 111,264 111,525 111,598
21,888

21,890

21,902

21947

21,982

21,996

22,022

22,004

22 066

22,093

22,135

22,149

592
68.9
§23.3
123.7
207.1
713
102.5

591
67.6
523.8
123.2
208.1
72.0
192.5

596
67.4
528.9
123,2
2118
73.5
193.9

209.1
r.n.1
194.9

597
68.0
528.5
124.0
208.5
72.9
196.0

67.0
527.7
123.6
208.4
72.7
195.7

599
66.9
532.5
124.4
210.7
73.7
197.4

602
67.9
534.4
124.1
2113
73.9
199.0

607
68.0
538.7
123.4
212.9
75.4
202.4

612
67.3
545.0
122.5
215.5
76.1
207.0

619
68.7
549.8
124.0
215.7
76.1
210.1

622
64.8
557.5
124.1
217.9
76.6
215.5

623
64.7
558.5
124.4
218.8
76.2
215.3

6,949
1,623.1
886.4
736.7

6,955
1626.7
890.0
736.7

6,965
1,632.2
394.5
737.7

6, §35
1,6311,3
90C1.7
73G.6

1,647.8
905.5
742.3

7,043
1,663.0
915.6
747.4

7,060
1,668.3
918.4
749.9

7,086
1,678.9
927.4
7515

7,090
1,682.4
929.1
753.3

7,133
1,689.2
931.4
757.8

7,159
1,692.5
937.0
755.5

7,207
7,227
1,695.1 1,699,1
938.2
943,8
756.9
755.3

899.8

899.7
4,433.1

902.1
4,447.8

904.1
4,476.1

906.4
4,484.8

907.8
4,499.2

908.2
4,499.6

9117
4,5318

915.7
4,550.9

920.7
926,7
4,5914 4,600.8

2,113.9

2,120.9

2,1215

2,125.5

2,128.2

2,144.9

2,158.8

2,177.2 2,202.7

2,333.9

2,355.2

2,363.3

2,373.7

2,3714

2,392.1

2,414.2 2,398.1

903.0
4,423,3
2,096.9
2,326.4

4,428.6
2,102.8

2,107.5
2,325.6

67.5
327.8

me

901.1
4,447.6
2,115,4
2,332.2

14,347

2,325.3
14,344

14,341

14,344

14,337

14,334

14,307

14,321

14,315

14,306

Durable goods ......................................
Wood products
.............
Nonmetallic mineral products
........
Primary metals .....................................
Fabricated metal products.............
Machinery
Computer and electronic products 1 ...
Computer and peripheral
equipment..........................
Communications equipment........
Semiconductors and electronic
components................
Electronic instruments ....................
Electrical equipment and appliances .
Transportation equipment..................
Motor vehicles and parts 2 ...........
Furniture and related products ...........
Miscellaneous manufacturing . . . . . . .

a 925
S47.9
506.3
466.1
1,496.5
1,140,0
1,327.1

8,931
549.0
507.4
467.4
1498.3
1142.7
1327.4

14,366
8,965
551,7
507..6
467.4
150SJI
1,151.5
1,334.0

14,352

8,926
550.0
507.9
468.4
1,502.6
1146.8
1,332.8

8,957
550.1
508 6
466.4
1508.5
1148.7
1332.5

8,960
554.5
509.1
466.0
1,511.5
1147.3
1,329 8

8,954
553.3
507.9
465.8
1,510.9
1,147.4
1,327.1

8,957
555.2
506.5
465.2
1,512.8
1,146.0
1,325.8

8,942
554.7
504.5
465.5
1,514.3
1145.9
1,327.0

8,962
553.6
504.0
466.9
1,514.1
1,148.0
1,327.5

8,957
555.2
502.0
466.6
1,517.3
1,151.7
1,326.0

8,959
8,956
549.7
551.6
500.8
504.0
466.6
466.5
1,518.4 1,523,1
1,153.8 1,155,7
1,328.0 1,328.7

213.7
148.9

212.2
150.1

2114
1513

212,4
151.6

211.9
151.0

209.7
150.7

209.3
152.7

210.4
153.7

210.2
155.1

211.2
154,5

2113
153.7

453.3
4311
446.1
1,763.6
1 f 113.4
574.5
656.4

455.2
4312
446.8
1762.2
1107.0
573.6
6:56,4

457.9
433,9
447.3
1739.1
1,086.6
574.0
656.8

457.4
434.2
447.7
1,769,5
1,112.5
573.3
655.2

457.0
434.6
447,0
1768.5
1,109.9
572.1
654.5

454.9
437.0
445.1
17710
1,1118
571.3
654.1

451.9
435.6
447.4
1767.2
1,104.1
572.2
654.7

448.0
435.7
445.8
1,7719
1,104.0
5717
656.4

447.4
436.4
445.1
1,760.1
1,092.9
570.3
654.3

447.1
436.4
445.3
1,7818
1,108.7
567.5
653,5

446.7
436.2
444.5
1,776,7
1,101.2
565.9
651.3

445.5
446.2
437.5
439.0
443.2
444.5
1778.3 1,780.8
1097.9 1,097.4
562.2
559.5
649.5
649.7

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 . . . . . .

5,422
1,5018
194.0
239.7
180.2
289.1
42.8
498.9

5,413
1498.6
194.4
239.3
178.5
285.9
42.6
496.7

5,415
1504.6
194.2
238.8
178.2
283.2
42.5
499.2

5,401
1497.0
193.4
238.1
177.6
282.8
425
500.6

5,395
1,494.3
194.9
237.3
177.8
2810
42.7
499.3

5,384
1493.5
192.9
238 5
178.1
276.1
42.8
499.4

5,383
1,493.6
195.1
235.0
178.4
273.4
43.4
498.1

5,377
1,498.8
193.0
233.2
178.0
2719
43.1
407.9

5,365
1,494.3
192.2
2315
178.1
269.3
43.1
499.9

5,359
1,493.2
1925
2301
177.9
267.2
43.2
500.2

5,358
1,495.2
191.6
228.7
177.9
262.8
42.9
502.0

5,350
1,491.0
191.5
226.3
178.2
262.4
42.9
499.6

5,340
1,4917
192.1
226.4
178.8
257.9
42.5
498.4

667.2
112.3

668.3
112.9
888.8
807.1

665.2
112.8
887.7
808.9

663.9
113.2
88§,,8
806.6

661.6
113.2
885.5
807.1

6610
113.3
884.5
806.3

661.3
113.6
882.4
608.6

660.8
113.8
880.5
806.2

659.6
114.5
877.1
804.9

659.2
115.1
876.4
804.1

658.8
115.0
877.5
305.8

659.3
116.4
878.0
804.3

658.2
117.4
876.1
800.4

Manufacturing.

Service-providing .................
Private service-providing.

807.3

212.3
153.4

109,485 109,589 109,660 109,804 109,933 110,180 110,298 110,427 110,669 110,807 110,902 111,134 111,198
87,899

88,018

88,074

88,159

See footnotes at end of table




212.0
153.7

14,299

55

88,256

88,480

88,592

88,727

88,859

89,074

89,171

89,390

89,449

ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industiy sector and selected industry detail, seasonally adjusted—Continued
(In thousands)
2004

2005

Industry
May

June

July

Aug.

Sept.

Oct

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

Trade, transportation, and utilities ...

25,511

25,536

25,536

25,537

25,555

25,581

25,621

25,620

25,652

25,714

25,743

25,793

Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and
brokers
,

5,651.4
2,942.9
2,010.6

5,653.4
2,948.4
2,006.6

5,660.2
2,955.3
2,004.0

5,662.9
2,957.8
2,004.0

5,672.4
2,960.2
2,008.1

5,674.7
2,962.3
2,009.1

5,680.0
2,960.4
2,012.6

5,683.6
2,964.5
2,009.9

5,679.9
2,965.6
2,005.4

5,688.7
2,968.7
2,006.9

5,702.2
2,975.6
2,0112

697.9

698.4

700.9

7011

704.1

703.3

7070

709.2

708.9

713,1

715.4

Retail trade
Motor vehicle and parts dealers1...
Automobile dealers
Furniture and home furnishings
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 stores1.
Department stores
Miscellaneous store retailers....
Nonstore retailers
Transportation and warehousing
Air transportation
„
Rail transportation
Water transportation
Truck transportation
Transit and ground passenger
transportation... ,
Pipeline transportation
Scenic and sightseeing
transportation
Support activities for transportation...
Couriers and messengers
Warehousing and storage
Utilities
information
Publishing industries, except
internet
Motion picture and sound recording
industries
Broadcasting, except Internet
Internet publishing and broadcasting.
Telecommunications
ISPs, search portals, and data
processing....
Other information services
Financial activities
Finance and insurance
Monetary authorities - central bank...
Credit intermediation and related
activitiesJ
Depository credit intermediation1
Commercial banking

5,709.2 5,719.5
2,977.9 2,983,5
2,012.0 2,012.1
719.3

723.9

15,052.3 15,060.5 15,048.2 15,043.3 15,037.7 15.056.5 15,0814 15,077.0 15,0812 15,125,4 15,128,7 15,155.3 15,166.0
1,906.9 1,904.1 1,904.4 1899.8 1,898.4 1,896.4 1,9012 1,905,9 1907.4 1911.2 1,912.6 1,914.9 1,916.7
1,258.5 1,257.1 1,254.1 1,2512 1.247.3 1,245.0 1,247.6 1,249.1 1247.9 1,248.8 1,250.2 1,252.2 1,2531
558.7
514.3

559.1
514.1

559.8
513.4

5616
512.0

5619
513.6

562.3
520.2

565.6
520.3

563.7
516.5

562.1
516.1

562.6
515.1

562.3
518.4

1.227.9
2,835.8
9412
879.1

1,223.8
2,832.6
9413
877.5

1,224.7
2,828.5
9410
876.6

1228.1
2,826.2
9410
876.5

1,232.5
2,827.1
942.1
878.0

1,236.3
2,830.2
941.6
877.0

1,240.4
2,822.7
944.5
873.7

1,243.5
2,819.8
946.6
8713

1,248.0
2,826.0
944.8
872.9

1,264.8
2,826.6
949.7
874.6

1263,7
2,826.8
949.2
874.5

1,263.9 1266.2
2,829,4 2,828.2
956,3
955.4
875.3
875.2

1,357.5

1,367.6

1,369.5

1,374.4

1,3719

1,376.0

1,377.9

1,3813

11,375.5

1.380.5

1,384.0

1,386.0

639.7
2,848.4
1,614.2
917.0
425.8

639.4
2,856.4
1,618.0
919.2
425.4

638.9
2,848.0
1,616.1
918.8
424.6

639.0
2,842.5
1,6114
918.9
423.3

638.7
2.832.9
1,603.3
917.0
423.6

638.0
2,835.2
1,604.2
920.5
422.8

639.0
2,854.9
1,619.1
917.4
423.8

635.8
2,852.9
1,619.3
918.2
4215

637.7
2,853.5
1,019.1
918.7
418.5

636.2
2,864.1
1,625.7
919.9
420.1

638.3
2,862.0
1,624.2
919,4
417.5

642.2
6415
2,866.5 2,866,9
1,626.6 1,626.4
919.8
920.7
418.2
415,8

4,236.3
516.7
223.7
57.3
1,346.3

4,250.9
517.0
224.7
58.2
1,352.2

4,257.0
516.3
225.0
58.1
1,352.5

4,260.4
515.0
224.6
56.7
1,352.5

4,274.1
513.8
225.5
57.2
1,358.5

4,279.6
514.2
225.4
57.7
1,356.0

4,289.6
514.6
224.6
57.8
1.358.9

4,288.0
512.3
224.0
58.6
1,366.5

4,316.0
509,4
224.4
59,8
1,372.6

4,324.1
507.9
223.9
60.0
1,378.0

4,336.6
508.0
223,7
616
1,383.2

4,354,1 4,383.7
506.6
505.5
223.7
224.3
63.3
62.4
1,390 5 1,395.3

386.3
38.8

3816
38.9

383.2
39.0

386.2
38 9

388.3
39.0

389.3
38.9

389.4
39.0

3910
38.7

3917
39.3

3910
39.4

388.7
39,3

392 9
39.5

3911
39.1

27.0
532.6
557.0
550.6

27.4
534.3
562.1
554.5

26.3
535.5
563.1
558.0

27.7
536.9
562.6
559.3

27.8
537.7
563.8
562.5

25.6
539,9
564.4
568.2

26.1
544.6
568.7
565.9

26.6
547.0
556.4
566.9

24.2
549.3
577.5
567.8

24.9
5515
577.6
569.9

26.7
553.4
579.3
572,7

27.2
553.4
583.2
574.7

27.9
555.3
584.2
577.7

571.1

570.8

570.9

570.1

5711

570.3

570.2

5713

574.7

576.0

575.2

574.7

574,3

3,146

3,151

3,144

3,135

3,127

3,131

30133

3,127

3,123

3,127

3.134

3,149

3,141

909.6

909.3

909.2

908.1

908.9

905.7

905.0

905.6

906.8

904 3

9018

390.6
329.4
33.6
1,030.0

384.8
329.7
34.0
1,0315

380.3
34,8
1,030.8

380.9
330.4
34.6
1,032.2

386.9
330.7
35.0
1,029.9

398.2
330.1
35,5
1,036.9

392.2
329.7
36,3
1035.4

394.1
50.2

395,4
50.1

911.1

911.9

566.1
518.4

5675
5210

1,389.2

392.3
326.3
30.6
1,046.6

395.5
326.5
315
1,044.0

394.4
327.2
314
1,0419

389.3
327,8
31.7
1,037.1

389.7
328.1
32.0
1,028.4

395.3
329.5
33.0
1,024.8

388.2
513

389.9
516

388.6
51.3

387.6
517

387 5
515

389.2
50.9

389.5
50.7

390.4
50.7

389.9
510

392.6
50.9

393.7
50.7

8,037
5,956.0
216

8,051
5,965.6
21.6

8,043
5,958.6
21.5

8,058
5,970.2

216

8,083
5,982.1
215

8,093
5,994.1
213

8,107
6,0013
20.9

8,128
6,014.5
20.6

8,150
6,030.9
20.5

8,165
6,037.6
20.4

8,167
6,039.3
20.4

8,181
8,185
6,049.0 6,054.5
20.3
20.3

2.826.3
1,758.2
1,284.6

2,833.7
1,762.1
1,286.3

2.829.2
1,760.6
1,283.9

2,833 4
1,763.0
1,283.5

2,8410
1,765.1
1,286.4

2,847.9
1,768.1
1288.3

2,859.2
1,773.3
1293.1

2,871.9
1,778.8
1,296.8

2.882.7. 2,8910
1.785.8 i 1,790.3
1,3016 1,305.5

2,896.8
1.794.0
1,308.0

2,9015 2,903.7
1796,1 1,799,0
1,308.8 1,310.4

See footnotes at end of table.




25,824

56

3313

ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3, Employees on nonfarm payrolls t»y major industry sector and selected industry detail, seasonally adjusted—Continued
(9n thousands)
2004

2005

Industry
May
Financial activities-Continued
Securities, commodity contracts,
investments
insurance carriers and related
activities
funds, trusts, and other financial
vehicles......
Real estate and rental and leasing......
Real estate
Rental and leasing services..............
Lessors of nonftnanciaf 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
consulting services.......
Management of companies and
enterprises............................................
Administrative and waste services.......
Administrative and support services1.
Employment services1......................
Temporary help services
Business support services .............
Services to buildings and
dwellings,
Waste management an^i
remediation sesvtoes..........................
Education and health services ...........
Educational services.............................
Health care and social assistance.......
Healthcare3....
Ambulatory health care services1.......
Offices of physicians
Outpatient care centers
Home health care services
Hospitals
Nursing and residential care
IWWtos.?.............................................
Nursing care facilities.....................
Social assistance1...,........,.........
Child day care services ..................
Leisure and hospitality.........................
Arts, entertainment, 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...................

761.0

June

765.1

July

766.3

Aug..

769.9

772.3

Oct.

777.3

Nov.

776.9

2,250.9 2,255.1 2,256.8

85.6

84.7
2,127.2
1,443.8

84.8
2,126.8
1,444.0

658.3

84.0
2,101.3
1429.1

1,434.7

645.0

643.0

1,428.6

642,0

643.3

647.6

646.3

25,3

25.0

24.9

24.9

24.6

16,384
8,730.0
1,160,0

16,415
6,754.0

16,453
6,765.1

1,163.5

1165.0

16,470
6,779.7
1,183.<8

1254.6
1,134.0

1,258.7

1262.0

1,142.3

1,145.9

783,6

784.7

1,719.8
7,034.1
7,600.4
3,461.2
2,385.0
757.5

1,722.6
7,938.3
7,6112
3,449.5
2,383.9
760.3

1723.7
7,964.0
7,637.2
3,477.5
2,398.6

1,700.1
324.7

778.2

83.9

646.0

84.2
2,113.6
1,437.8
650.9

2,119.0
1,439.7
854.1

24,3

24.8

24.9

25.2

25.1

16,514
6,805.4
1,166.8

16,614
6,835.3
1167.4

16,611
6,834.4

16,674 16,694
6,869.9 6,882.1
1164.4 1,160.8

16,775
6,902.7
1,161.2

814.1

816.1

821.5

1,264,4

1,270.5

1,280.5

1,161.1

1,167.3

787.9

790.5

1,155.0
786.11

May p

2,256.7

84,3
2,088.2
1,420.0

813.9

736.9

Apr.P

2,259.6

84.6
2,084.6
1,416.7

310.5

Mar

2,260.4 2,258.1

84.3
2,085.7
1,415.7

810.7

Feb.

784.8

84.S
2,081.1
1,413.8

83.5

Jan.

782.5

2,260.9 2,257.0

2,2610 2,263.3 2,264.1

Dec.

779.7

2,261.6

2.099.2 2,105.5

1163.1

840.8

83.5

789.5

657.8

2,1319
1,4467
659.5

84.2
2,130.2
1,446.4
657.8

25.0

25.7

26.0

16,796
0,907.3
1,161.5

16,829
6,922.1
1,161.8

16,828
6,925.2
1,162.0

859.1

853.0

858.1

858.1

1,289.5

1,286.9

1,292.0

1,295.7

1,299.2

1,302.4

1,174.3

1,171.8

1174.2

1,175.5

1176.2

1176.9

816.6
1284.9
1,174.1

788.6

787.8
1722.5
8,054.3
7,728.2
3,570.5
2,484.7
754.®

789.9

789.3

793.7

795.5

798.3

799.6

1725.6
8,078.0
7751.4
3,584.5
2,479.4
757.0

1,730.7
8,081.6
7,755.2
3,595.9
2,479.1
752.8

17313
8,140.9
7,813.8
3,633 8
2,508.0
7557

17315
8,1567
7,8318
3,6457
2,506.1
754.1

1733.5
8,173.2
7,849.9
3,660.5
2,5167
755.6

1,735.6
8,167.6
7,845.2
3,659.2
2,512.4
753.9

1715.0 1,715.3
7,993.2 8,063.1
7,667.3 7,736.4

758.1

1,720.7
7,989.7
7,643.1
3,480.1)
2,411.11
757.1)

752.6

3,572.9
2,486.5
755.9

1,707.7

1,705.2

1,708.«

1706.4

1,708.6

1,707.2

1,706.1

1,7014

1711.2

1712.6

1714.9

1716.1

327.1

320.8

32B.0

325.9

326.7

326.1

326.6

326.4

327.1

324.9

323.3

322.4

3,513,5
2,438.7

16,936 16,963 17,010 17,019 17,081 17,108 17,142 17,178 17,186 17,210 17,244 17,284
16,913
2,754.1 2,755.1 2785.6 2,772.3 2,773.2 2,794.0 2,797.2 2,805.5 2,825.0 2,810.3 2,814.0 2,819.3 2,8277
14,158.5 14,180.7 14,197.8 14,237.8 14,246.1 14,287.2 14,310.7 14,336.1 14,353.2 14,375.4 14,396.0 14,424.2 14,4567
12,031.8 12,048.5 12,070.4 12,094/i 12,106.0 12,135.3 12,153.6 12.168.4 12,183.6 12,202.8 12,216.2 12,239.1 12,2647
4,929.9 4,941.9 4,956.2 4,969.2 4,975.0 4,996.9 5,006.7 5,017.0 5,027.0 5,035.0 5,0416 5,056.1 5,072.1
2,046.4 2,0511 2,054.5 2,059.1 2,064.5 2,074.2 2,077.7 2,084.3 2,085.3 2,090.9 2,093.2 2,103.4 2,113.9
440,8
448.7
446.6
449.8
450.3
449.5
448.4
454.1
451.5
456.5
452.6
449.7
4511
768.5
779.5
789.2
771.7
797.5
790.7
782.7
775.4
798.8
778.0
796.6
798.6
796.6
4,200.0 4,292.2 4,296.2 4,305.0' 4,306.0 4,3112 4,319.7 4,323.5 4,329.6 4,337.8 4,344.6 4,352.6 4,358.4
2,818.0
1,576.9
2f127.4
770.4

2,819,1
1,578.7
2,143.8
776.1

2,825.0 2,827.2
1576,6 1,576.8

2,827.2

2,827.9

1576.4

1,574.5 1,571.5

2,140.1
787.9

2,1519
772.8

2,157.1
775.3

2,167.7
780.4

2,169.6
780.5

12,508
1,8310

12,522
1,836.2

12.546
1,834.4

12,571
1,826.4

358.4

363.6

364,4

362.5

12.589
1,811.0
357.9

12,611
1,805.4

363.6

12,497
1,830.9
359.2

117.8

118.6

118.8

118.3

118.2

116.9

114.8

2,811.0
1,575.8
2,128.7

2,814.4
1,576.3
2,132.2

762.0

767,4

12,474
1,836.6
362.8

12,486
1834.S

117.8

2,830.4
1570.4
2,186.1

782.5

2,830.0
1,572.3
2,179.8
785.1

12,662
1,805.8
357.8

12,725
1,8215

355.6

12,650
1,808.4
357.0

114.5

113.6

115.8

2,827.0

2.830.0
1,571.6
2,172.6

786.7

2,834.2
1,571.2
2,192,0
787,8

362.5

12719
1816.4
361.7

116.9

118.0

1,356.0 1353,4 1,353.1 1,353.8 1,354.3 1,351.8 1,347.0 1,338.3 1,335.3 1,337.8 1,332.2 1342.1 1,3367
10,637.1 10,650.7 10,666.1 10,6763 10,685.3 10,712.0 10,744.1 10,778,4 10,805.1 10,8411 10,856.0 10,903.8 10,9027
1,792.2 1,798.0 1J97J 1801.3 1,801.5 1800.6 1,814.7 1,824.6 1,825.9 1,830.3 1,826.6 1,831.1 1828.8
8,844.9 8,852.7 8,868.8 8,875.2 8,883.8 8,911.4 8,929.4 8,953.8 8,979.2 9,010.8 9,029.4 9,0727 9,073.9
5,434
1,229.6

5,443
1,226.5

5,438
1227.4

5,441
1,225.9

See footnotes at end of table.




Sept,

57

5,436
1226.9

5,434
1227.9

5.441
1,227.1

5,447
1,229.9

5,451
1229.4

5,457
12337

5,459
1,235.6

5,469
1,239.0

5,468
1,2413

ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted-—Continued
(In thousands)
2004

2005

Industry

Other services-Continued
Personal and laundry services
Membership associations and
organizations

..

Government
Federal
Federal, except U.S. Postal Service
U.S. Postal Service
State government
State government education
State government, excluding
education
Local government
Local government education
Local government excluding
education

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

May?

1,281.6

1,283.4

1,278.0

1,276.9

1.271.5

1,267.8

1,271.6

1,276.8

1,280.4

1,280.5

1,282.2

1,287.2

1,286.4

2,922.3

2,932.7

2,932.8

2,937.9

2,937.9

2,938.1

2,S42.3

2,940.6

2,941.4

2.942.9

2,940.8

2,943.0

2,940.3

21,586
2,729
1,043.2
785.8
4,967
2,233.3

21.571
2,731
1,946.3
785.1
4,963
2,228.2

21,586
2,726
1,939.2
786.4
4,976
2,241.4

21,645
2,730
1,945.5
784.3
4,987
2,249.4

21,677
2,730
1,946.8
783.4
5,000
2,263.7

21,700
2,723
1,940.1
782.5
5,007

2,268.4

21,706
2,728
1,946.4
7814
5,015
2,271.3

21,700
2,706
1,939.5
766 4
5,020
2,277.9

21,710
2,717
1,937.2
780.2
5,025
2,280.4

21,733
2.720
1,939.8
780.1
5,027
2,283.0

21,7311
2,724
1,943.2
780.8
5,024
2,280.8

21,744 21,749
2,719
2,718
1,9377 1,938 3
781.1
780.5
5,026
5,027
2,281.5 2,281.2

2,733.2
13,890
7,752.9

2,734.4
13,877
7,742.5

2,734.4
13,884
7,757.8

2,737.8
13,928
7,788.7

2,736.4
13,947
7,793.2

2,738.2
13,970
7,810.8

2,743.4
13,963
7,806.3

2,741.9
13,974
7,810.8

2,744.4
13,968
7,808.8

2,744.4
13,986
7,820.7

2,743.2
13,983
7,813,5

2,745.7 2,744.7
13,999 14,004
7,822.5 7,821.0

6,137.3

6,134.5

6,126.6 6,142.2

6,153.4

6,159.3

6,156.7 6,163.1

p

1

6,169.0 6,176.5 6,182.8

= 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, all seasonally adjusted data from January 2001
forward are subject to revision.

1ncludes other industries, not shown separately.
Includes motor vehicles, motor vehicle bodies and trailers,
and motor vehicle parts.
3
Includes ambulatory health care services, hospitals, and
nursing and residential care facilities.
2




6,159.2 6.165.1

58

ESTABLISHMENT DATA
WOMEN EMPLOYEES
SEASONALLY ADJUSTED
B-4. Women employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted
(In thousands)
2005

2004
industry

Apr.

May

June

July

Aug.

Total nonfarm...

63,621

63,720

83,766

63,675

IK

Total prfvUf.............

51,258

51,377

51,462

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

894

63,901

64,026

64,112

64,195

64,304

64,423

64,460

64,539

51,407

!>1,550

51,530

51,651

51744

51,814

51,920

52,020

52,054

52,177

5,124

Apr.P

5,118

58120

5,126

5,130

51,133

5,125

5,123

5,123

5,116

5,116

5,120

5,120

natural resources an$ mining.!...
Mining.

30
72.6

80
72.8

30
72.9

30
72.7

30
73.0

79
72.6

79
72.5

79
72.7

79
71.6

78
71.3

78
71.3

79
71.8

80
72.7

Conatnictton..................................

335

338

340

841

843

343

848

350

851

854

857

864

869

Manufacturing.............................

4,203

4,203

4,206

4,209

4,210

4,203

4,196

4,195

4,193

4,184

4,181

4,177

4,171

Durable goods

2,266

2,270

2,271

2,273

2!,,278

2,276

2,272

2,270

2,267

2,265

2,263

2,260

2,255

Nondurable goods....................

1,937

1,938

1,935

1,936

1,932

1,927

1,924

1,925

1,926

1,919

1,918

1,917

1,916

58,503

53,594

§8,040

58,545

!ifi,701

58,776

58,903

53,983

59,072

59,188

59,312

59,340

59,469

46,405

46,528

46,620

46,691

46,304

46,904

46,934

47,057

Goods-producing

Service-providing

. . ....

. ....

Private service-providing

46,140

46,251

46,326

46,337

Trade, transportation* and
utilities ...........................................

10,331

10,347

10,367

10,348

n.0,358

10,355

10,375

10,413

10,395

10,410

10,431

10,444

10,467

Wholesale trade........................., 1,700,5

1712.5

1,712.2

1,700.9

1716.8

1,718.2

1,716.1

1,720.5

1,718.5

1,715.8

1,718.5

1,720.2

1,7217

Retail trade

7,364.3

7,373.7

7,396.4

7S374.7

7.378.6

7,303.3

7,388.6

7,416.0

7,399.7

7,411.0

7,428.4

7,438.4

7,453.1

Transportation and
wsir^houslsio

1 112.4

1,112.9

1,110.1

1,115.0

1,113.7

1,124.8

1,121.3

1,126.8

1,127.7

1,132.7

1,134.1

1,136.3

1,143.9

.....................

147.3

147.8

147.9

148.1

148.8

148.9

149.2

149.3

149.5

1497

149.8

149.2

148.5

...

1s380

1,382

1,382

1,375

1,307

1,382

1,360

1,363

1,372

1,369

1,371

1,369

1,374

4,824
Financial activities.*...^,.,..
Finance and insurance................. 3,873.5
Real estate and rental am
950.2
leasing..........................................

4,329
3,873.7

4,340
3,884.5

4,830
3,872.9

4,338
3,077.0

4,854
3,887.1

4,857
3,886.1

4,870
3,896.3

4,874
3,897.9

4,884
3,902.4

4,890
3,904.0

4,836
3,899.0

4,899
3,901.6

9557

955.7

956.3

£130.5

960.5

970.8

972.8

976.0

931.2

985.8

987.1

997.5

7,335

7,368

7,367

7,383

7,390

7,397

7,425

7,421

7,447

7,482

7,514

7,524

7,532

3,205.7

3,209.5

3,218.2

3,224.1

3,233.0

3,244.8

3,253.8

3,245.8

3,264.4

3,271.9

3,286.1

3,284.8

3,289.4

874.6

874.0

875.1

877.2

872.6

866.6

863.3

868.3

869.7

874.1

874.5

875.0

876,4

3,254.7

3,284.7

3,275.4

3,281.6

3,2133.6

3,285.8

3,308.2

3,306.6

3,312.6

3,336.3

3,352.9

3,364.2

3,366.2

Utilities..
Informatfon

Professional and business
services
.............................
Professional and technical
sendees
Management of companies
Administrative and waste
S@fV5d@S. „ „ , „ . „ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

13,277
13,193
13,306
13,218
13,262
13,110
13,172
13,249
13,086
13,033
13,002
13,141
Education and health services.... 13,002
Educational services
1,652.9 1,658.3 1,803.3 1,070.8 1,875.2 1,655.7 1,686.1 1,690.3 1,893.7 1,708.4 1,697.7 1,699.9 1,701.1
Health care and social
Bsslstance
. .. .
.......... 11,348,7 11,374.4 11,398.6 11,415.0 11,456.1 11,454.1 11,485.7 11,502.4 11,524.2 11,540.9 11,504.5 11,576.9 11,605.2
Leisure and hosoitallfv
Arts, entertainment, and
recreation.,...
..........
Accommodations and food
services..,,.
Other services
Government
Federal
..........................
State Government.......................
Local Government
... ....
1

6,481

6,503

0,513

8,527

63526

6,536

6,548

6,563

6,539

6,610

6,634

6,628

6,666

829,1

831.5

329.3

333.3

331.3

835.7

834.7

829.4

326.9

830.4

832.1

827.3

835.7

5,652.3

5,0717

5,632.9

5,692.8

5,894.2

5,700.6

5,7137

5,739.0

5,7617

5,779.5

5,801.4

5,801.0

5,830.6

2787

2789

2795

2788

2797

2791

2791

2J92

2,796

2,300

2,302

2,806

2,813

12,363
1,173
2,571
3,819

12,343
1,165
2,558
8,620

12,314
1S104
2,541
3,009

12,208
1,167
2,547
8,494

12,344
1,170
2,554
6-320

12,371
1,171
2,565
8,635

12,375
1,165
2,571
8,639

12r368
1,167
2,573
8,628

12,381
1,164
2,574
8,643

12,384
1,164
2,578
8,642

12,408
1,167
2,581
8,660

12,406
1,171
2,578
8,657

12,412
1,168
2,576
8,668

1ncludes other industries, not shown separated
» preliminary.
MOTE: Data are currently projected from March 2004 benchmark levels.
p




When more recent benchmark data are introduced with the release of
January 2006 estimates, aii seasonally adjusted data from January 2001
forward are subject to revision.

ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-5. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry sector and selected iinidustry
detail, seasonally adjusted
(In thousands)
2004

2005

Industry
May

June

July

Aug.

Sept

Oct.

Nov.

Dec.

Jan,

Feb.

Mar.

Apr.P

MayP

88,817

88,978

89,087

89,262

89,371

89,648

89,781

89,921

90,111

90,376

90,514

90,775

90,810

15,818

15,822

15,848

15,891

15,887

15,939

15,933

15,957

15,937

16,005

16,025

16,078

16,090

442

440

443

446

448

445

450

452

456

460

463

467

469

5,283

5,287

5,303

5,314

5,322

5,383

5,379

5,408

5,399

5,460

5,471

5,523

5,531

10,093

10,095

10,102

10,131

10,117

10,111

10,104

10,097

10,082

10,085

10,091

10,088

10,090

6,138
Durable goods
442.2
Wood products
388.8
Nonmetallic mineral products..
363.2
Primary metals
1,109.8
Fabricated metal products
726.3
Machinery
Computer and electronic
654.8
products
Electrical equipment and
306.7
appliances
1,266.0
Transportation equipment
904.4
Motor vehicles and parts?.
Furniture and related
444.7
products
435.9
Miscellaneous manufacturing..

6,147
444.5
389.1
365.2
1,110.1
729.6

6,144
445.1
390.5
365.1
1,113.7
731.9

6,180
446.1
390.6
364.3
1,116.9
737.7

6,172
445.7
392.0
363.5
1,117.8

6,172
448.9
391.6
364.2
1,120.2

6,166
447,4
391.0
363.7
1,120.9

6,170
449.3

6,178
446.2
387.2
363.4
1,121,5

733.9

733.6

732.6

363.2
1,121.6
731.7

6,166
448.4
388.4
362.2
1,123.1

733.5

734.0

6,182
447.9
3853
362.9
1,126.1
737.4

657.5

665.8

666.5

667.0

665.3

662.8

665.9

672.7

677.9

683,1

690.6

692.0

307.7
1,263.3

1,269.3
908.3

309.3
307.6
1,265.6 1,265.3
903.5
903.3

309.8
1,261.2

900.2

308.0
1,242.5
880.5

895.9

308.7
1,266.1
897.6

307.9
1,258.9
890.5

308.3
1,271.3
902.2

307.2
1,270.7
897.2

305.1
1,274,9
894.3

1,279.0
894.6

436.2

444.8
436.2

443.9
435.1

442.9
434.4

442.0
433.3

4417
434.8

440.7
433.6

438.6
431.8

435.5
430.8

434,7
427.1

431.5
424.5

429.9
424,2

3,955
1,183.5

3,948
1,181.2

3.958
1,187.1

3,951
1,182.7

3,945
1,179.9

3,939
1,178.7

3,938
1,181.4

3,927
1.186.2

3,916
1,181.9

3,907
1,180.1

3,909
1,183.1

3,899
1,179.9

3,898
1,181.6

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...

105.5
196.6
145.3
227.9
33.5
377.5

107.5
196.4
141.2
225.2
33.5
374.2

107.4
195.4
142.8
222.6
33.9
377.5

107.0
194.5
142.5
223.8
33.2
377.4

107.7
193.0
142.7
222.3
33.2
376.2

107.4
191.8
142.8
217.1
33.6
376.1

109.2
190.2
143.6
214.1
34.5
375.1

108.2
188.5
142.2
213.0
34.0
374.6

106.7
186.8
142.7
210.2
33.8
376.7

106.6
185.5
142.7
209.0
33.6
376.8

108.3
183.9
143.8
204.7

108.8
181.6
144.0
202.8
33.3
376.7

111.8
181.6
144.7
199.1
33.0
376,7

461.6
76,8
520.2
626.7

463.4
77.9

461.4
78.3

460.9

460.0
79.2

460.7
79.5
519,4

459.0

458.2

456.9
79.9

630.6

79.1
514.0
626.0

513.5
624.3

454,7
79.3
513.3

457.4

78.7
516.2
626.7

455.6
79.7

520.1

459.4
79.2
522.7

626,1

623.0

80.5
511.1
620.1

Private service-providing.

Total private
Goods-producing
Natural resources and mining..
Construction
Manufacturing..

Nondurable goods
Food manufacturing
Beverages and tobacco
products

Textile mills

Trade, transportation, and
utilities
Wholesale trade.
Retail trade....
Transportation and
warehousing
Utilities.

309.9

33.5
378.2

6,192
6,189
442.8
446.1
382.6
385,7
361.8
362.5
1,127.5 1,130,1
743,0
740.8

306.6

627.6

521.3
630.0

78.9
522.0
628.2

628.8

522.8
628.8

72,999

73,156

73,239

73,371

73,484

73,709

73,848

73,964

74,174

74,371

74,489

74,697

74,720

21,277

21,313

21,317

21,331

21,365

21,402

21,463

21,443

21,512

21,574

21,611

21,659

21,685

4,427.5

4,464.3

4,473.2

4,483.2

512.1

4,432.4

4,444.3

4,453.2

4,490.6

4,492.9

4,506.8

4,520,1

4,525.3 4,538,4

12,767.8 12,786.5

2,775,4

2,781.7 12,781.6 12,796.7 12,825.4 12,810.3

2,835.4

12,873.5 12,886.2

2,909.6 2,920.0

3,625.0

3,638.6

3,641.8

3,643.1

3,665.3

3,679.8

3,690.1

3,687.3

3,726.3

3,736.1

3,747.0

3,765.8 3,769.0

457.1

455.6

455.2

452.8

453.3

452.6

454.0

454.8

457.6

457.5

457.7

457.9

457.6

2,381

2,393

2,400

2,407

2,412

2,421

2,421

2,439

2,443

2,446

2,456

2,474

2,472

5,981

6,002

5,998

6,010

6,027

6,038

6,049

6,065

6,075

6,093

6,089

6,094

6,092

Professional and business
services

13,266

13,294

13,346

13,378

13,432

13,521

13,525

13,557

13,597

13,663

13,706

13,744

13,741

Education and health services.

14,728

14,753

14,775

14,821

14,815

14,871

14,895

14,929

14,971

14,973

15,003

15,033

15,062

Leisure and hospitality

10,928

10,949

10,959

10,967

10,981

11,006

11,044

11,060

11,096

11,132

11,129

11,189

11,162

4,452

4 f 450

4,461

4,471

4,480

4,490

4 495

4,504

4,506

Information
Financial activities.

Other services

-

4,438

4,452

4,444

4,457

P» preliminary.

1
Data relate to production workers in natural resources and mining and
manufacturing, construction workers in construction, and nonsupervisory
workers in the service-providing industries.
includes motor vehfctes, motor vehicle bodies and trailers, and motor
vehicle parts.




NOTE: Data aw currently projected torn March 2004 benchmark levels. When more
recent benchmark data are introduced with the release of January 2006 estimates, all
seasonally adjusted data from January 2001 forward are subject to revision.

60

ESTABLISHMENT DATA
DIFFUSION INDEXES
SEASONALLY ADJUSTED
B-6. Diffusion indexes of employment change, seasonally adjysted
(Percent)
Time Span

Jan.

Feb.

Apr.

Mar.

May

June

July

Private nonfarm payrolls, 278 industries
Over 1-month span:
2001
2002
2003.......................................
2004
2005
Over 3-month span:
2001
2002............................
2003
2004
2005

......

..........
.................

Over 6-month span:
2001
2002..............................
2003
2004........................................
2005

....
........

Over 12-month span: •
2001 ........................................................
2002
....
2003 ........................................................
2004........................................................
2005......................................

Sept.

Aug.

Oct.

Nov.

Dec.

1

49.5
41.0
44.4
50.9
54,1

47.7
35.6
38.7
53.4
61.2

48.6
39.7
35.3
66.0
53.1

32.7
39.2
41.4
67.3
1* 83.7

42.4
40.5
39.4
64.6
P 55.8

40.8
47.7
39.9
59.7

36.7
42.8
42.1
55.4

39.0
43.0
39.4
53.8

37.6
42.1
50.4
57.6

33.6
39.0
48.9
58.6

36.9
415
50.0
54.7

37.1
35.1
50.5
54.3

53.2
35.3
38.3
52.5
58.5

49.8
37.9
35.4
53.8
60.3

49.8
36.5
33.3
56.7
63.7

42.3
34.2
33.5
69.4
»* @3.1

38.1
34.4
36.5
75.4
P 60.3

34.2
39.4

417
712

37.8
40.6
37.8
63.5

37.6
44.1
37.4
56.8

34.7
37.8
43.2
57.4

35.4
37.1
46.4
59.9

30.8
35.8
48.6
59.7

32.0
36.7
50,2
56.3

53.1
29.5
32.7
47.3
60.3

50.9
29.9
32.2
50.4
62.8

52.0
32.0
31.3
54.0
63.7

45.5
31.7

43.0
30.9
33.1
64.4
P 62.2

39.7
37.4
37.6
69.6

38.5
37.1
33.6
67.3

33.6
38.7
32.2
68.9

33.5
35.3
40.3
64.6

34.2
36.0
43.7
62.2

33.6
37.9
46.4
59.7

30.9
35.1
49.3
55.9

59.5
33.6
34.5
40.3
61,2

59.5
317
31.5
42.1
64.7

53.4
30.2
32.9
44.8
64.2

48.6
30.2
34.2
52.0
P 64.4

45.0
29.1
35.1
56.7

43.3
32.0
32.7
57.4

43.9
313
33.1
57.6

39.9
30.0
37.1
60.3

37.8
29.5
36.7
62.1

37.1
32.9
37.2
64.6

34,9
34.7
39.2
64.0

31.3
62.6
*' 62.6

49.3
30.4
33.5
Ei

i

48.7
85.5

Manufacturing payrolls, 84 industries 1

Over 1-month span:
2001
2002
2003.................................
2004
. .... ...............................
2005 .
..... ................................

22.0
19.0
35.1
39.3
42.3

17.3
19.6
19.0
49.4
44.6

22.0
22.0
19.0
50.0
41.1

35.5
P 49.4

16.1
26.2
19.6
60.1
P 46.4

Over 3-month span:
2001 .... ... ... ................................
2002.
.
................................
2003 ......
2004 .....
..........................
2005..................................

32.7
10.7
16.1
42.3
45.2

20.8
11.0
14.3
43.5
42.9

16.7
11.3
12.5
42.9
52.4

14.3
17.9
8.9
58.3
P 47.0

14.3
14.9
10.7
69.0
P 43.6

Over 6-month span:
2001
2002
2003 .
. . .....................................
2004
.. .
..............
2005.................................
................

22.6
6.0
12.5 .
27.4
43.5

24.4
8.3
10.1
29.8
44.0

21,4
8.3
7.1
33.3
42.3

19.6
9.5
8.3
47.0
P 417

Over 12-month span:
2001
......... ....................
2002 ..
........
2003
.....
........
2004
2005
.......

29.8
7.1
10.7
13.1
45.2

32.1
6.0
6.0
14.3
45.8

20.8
6.0
6.5
13.1
47.6

19.0
6.5
6.0
19.0
P -45.2

117.9
32.1

119

1
Based on seasonaiiy adjusted data for 1 - 3-, 6-month spans and
unadjusted data for the 12-month span.
p
* preliminary.
NOTE: Figures are the percent of industries with empioyment
increasing plus one-half of the industries with unchanged
employment, where 50 percent indicates an equal balance between




13.1
35.7
22.6
60.7

15.5
23.2
24.4
48.8

18.5
28.6
32.7
42.9

17.3
15.5
35.1
42.3

14.9
18.5
39.9
46.4

11.9
16.7
42.9
44.8

20.2
10.7
69.6

119
25.6
14.3
62.5

9.5
23.8
15.5
53,6

11
20.2
18.5
52.4

12.5
13.7
27.4
44.6

11.3
8.9
315
45.2

9.5
9.5
35.1
35.7

14.3
7.1
11.3
52.4
P 40.5

11.9
13.1
10.7
57.1

13.1
12.5
4.8
60.1

11.3
11.3
10.1
58.9

10.7
14.3
13.1
58.9

7.1
8.3
16.7
50.6

7.7
8.3
19.6
45.2

5.4
7.7
26.8
42.9

13.1
7.1
8.3
25.6
P 41.1

12.5
3.6
7.1
34.5

10,7
4.8
7.1
43.5

119
6.0
8.3
40.5

11.9
4.8
10.7
45.8

10.1
7.1
10.7
48.2

8.3
4.8

6,0
8.3
107
46.4

22.6

310
20.8

518

119

9.5
49.4

industries with increasing and decreasing employment. Data are
currently projected from March 2004 benchmark levels. When more
recent benchmark data are introduced with the release of January
2006 estimates, ail unadjusted data (beginning April 2004) and all
seasonally adjusted data (beginning January 2001) are subject to revision.

61

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted
(In thousands)
2004

State

Apr.

May

June

July

Aug

2005
Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

1

Tola!

1,903.1
1,914.1 1,908.2 1,903.4 1,910.6 1,912.8 1,914.4 1,917.9 1,920.2 1,924.
1,927.6
303.8
305.1
303.7
305.1
304.4
304.0
304.3
307.6
305.0
307.7
307.0
2,365.6 2,376.3 2,388.6 2,393.9 2,401.0 2,413.0 2,414.8 2,423.3 2,431
2,438.1 2,446.9
1,158.3
1,162.5 1,162.9 1,164.1 1,165.4 1,165.8 1,168.3 1,168.9
1,160.7 1,160.4 1,161
14,479.0 14,593.7 14,565.5 14,581.4 14,633.6 14,656.4 14,645.5 14,654.0 14,681.7 14,702.7 14,723.1

1,894.4
302.4
2,354.1
1,155.8
14,475.5

1,895.0
302.2
2,359.3
1,156.1
14,484.1

Colorado.....
Connecticut
Delaware
District of Columbia .
Florida

2,175.2
1,648.0
421.3
673.1
7,476.0

2,174.7
1,648.1
422.6
674,0
7,483.7

2,176.4
1,648.6
423.4
674.5
7,503.2

2,178.7
1,650.7
424.1
670.1
7,523.7

2,180.2
1,652.1
424.6
672.0
7,527.2

2,185.5
1,652.4
425.8
671.2
7,527.8

2192.8
1,662.1
425.9
672.5
7,560.5

2,196.2 2,203.4
1,664.5 1,664.6
427.0
429.0
673.8
673.1
7,585.6 7,608.6

Georgia
Hawaii...
Idaho.....
Illinois....
Indiana..

3,892.5
579.5
585.5
5,805.8
2,929.6

3,890.2
580.2
586.7
5,806.9
2,924.7

3,885.7
581.2
587.2
5,808.6
2,928.2

3,897.8
583.1
589.0
5,824.2
2,941.3

3,898.7
584.4
5,809.5
2,930.4

3,886.7
585.7
590.1
5,802.1
2,938.1

3,895.7
589.1
590.4
5,806.2
2,944.9

Iowa
Kansas.....
Kentucky..
Louisiana Maine

1,455.7
1,324.5
1,796.4
1,922.8
613.3

1,452.3
1,325.5
1,793.6
1,917.9
613.3

1,456.5
1,327.0
1,796.5
1,919.5
614.0

1,458.9
1,329.0
1,789.7
1,921.3
613.7

1,457.3
1,327.4
1,796.7
1,921.3
614,5

1,457.0
1,328.4
1,798.6
1,913.5
614.3

Maryland
Massachusetts.
Michigan
Minnesota
Mississippi

2,509.2
3,181.6
4,408.7
2,682.9
1,125.6

2,511.4
3,179.9
4,399.7
2,681.9
1,123.9

2,512.6
3,182.0
4,387.6
2,683.8
1,122.2

2,516.6
3,186.6
4,373.0
2,683.8
1,121.9

2,523.3
3,179.7
4,399.2
2,686.6
1,123.3

Missouri
Montana
Nebraska
Nevada
New Hampshire.

2,695.2
411.4
919.4
1,141.6
626.1

2,694.3
410.3
922.6
1,142.9
626.9

2,696.3
413.4
924.3
1,151.0
626.1

2,690.6
413.5
927.2
1,158.5
627.8

New Jersey
New Mexico .....
New York
North Carolina .
North Dakota ...

3,984.1
789.2
8,430.7
3,811.7
337.0

3,996.9
789.3
8,443.9
3,817.7
337.0

4,003.2
789.4
8,450.5
3,817.3
337.5

Ohio
Oklahoma
Oregon
Pennsylvania.
Rhode island .

5,407.3
1,467.6
1,588.1
5,628.9
486.7

5,404.2
1,467.0
1,590.2
5,635.6
488.5

South Carolina.
South Dakota...
Tennessee
Texas
Utah

1,825.7
382.9
2,698.3
9,464.8
1,098.9

Vermont
Virginia
Washington...
West Virginia .
Wisconsin
Wyoming

302.6
3,573.5
2,695.8
737.0
2,797,0
255.7

Alabama ..
Alaska
Arizona ....
Arkansas,.
California .

2,202.4
1,661.0
430.9
674.6
7,643.9

2,212.8
1,6642
432.7
675 3
7,662.8

2,218.0
1,6667
432.5
674.5
7,679.7

7,700.7

3,900.1 3,906.6
591.4
591.3
591.5
591.0
5,806.3 5,812.7
2,946.2 2,943.6

587.9
591.5
5,809.8
2,956.5

3,905.1
591.7
595.5
5,814.8
2,963.0

3,911.2
592.9
598.8
5,831.1
2,966.6

3,912.6
594.7
602.2
5,848.8
2,968.6

1,462.7
1,330.1
1,801.0
1,919.3
614.9

1,461.8
1,332.7
1,800.7
1,920.3
615.7

1,461.8
1,334.2
1,802.7
1i ,916.9
616.2

11,458.5
1,320.9
1,802.4
1,926.5
615.7

1,459.5
1,332.0
1,803.6
1,924.8
617.4

1,462.2
1,337.7
1,807.4
1,931.5
616.3

1,468.9
1,342.0
1,815.1
1,931.0
618.4

2,525.0
3,180.4
4,399.0
2,689.7
1,126.1

2,529.2
3,186.2
4,398.2
2,690.8
1,128.2

2,535.5
3,186.6
4,390.1
2,691.4
1,129.9

2,540.9
3,188.1
4,386.8
2,697.0
1,127.6

2,542.5
3,190.0
4,376.2
2,694.9
1,131.3

2,546.3
3,191.1
4,387,1
2,696.1
1,136.7

2,549.7
3,195.3
4,368.1
2,698.2
1,136.1

2,554.3
3,200.0
4,378.1
2,703.2
1,138.1

2,692.3
412.1
926.5
1,158.8
628.8

2,694.8
412.2
925.7
1,168.2
629.9

2,692.9
413.9
924.1
1,176.1
630.7

2,698.2
416.9
923.9
1,180.0
631.0

2,706.6
419.4
926.1
1,187.1
632.7

2,691.0
412.4
930.3
1,190.1
632.9

2,699.9
413.9
929.6
1,195.3
631.0

2,709.1
416.3
934.2
1,201.7
634.5

2,710.7
417.9
934.5
1,215.2
634.7

4,005.2
791.5
8,455.0
3,841.9
338.5

4,008.6
791.2
8,454.0
3,856.5
338.8

4,017.9
792.6
8,466.5
3,857.8
339.3

4,017.8
795.1
8,477.9
3,842.6
339.1

4,028.4
796.9
8,483.6
3,851.2
338.3

4,032.2
799.1
8,491.5
3,856.7
337.9

4,030.5
799.7
8,488.8
3,846.1
338.1

4,037.2
799.4
8,489.5
3,850.8
3402

4,038.0
802.1
8,497.8
3,857.1
341.0

4,047.6
804.0
8,504.1
3,870.5
343.5

5,407.9
1,469.7
1,595.7
5,641.7
488.4

5,424.9
1,471.1
1,599.6
5,653.0
489.8

5,426.8
1,471.3
1,600.8
5,640.6
489.4

5,425.6
1,474.2
1,605.7
5,646.6
489.0

5,415.7
1,476.4
1,610.6
5,661.0
489.2

5,418.1
1,478.1
1,614.0
5,662.4
489.3

5,414.6
1,483.8
1,6116.2
5,665.9
490.2

5,406.7
1,483.8
1,621.3
5,676.0
491.1

5,411.0
1,487.9
1,632.9
5,673.5
492,0

5,416.1
1,490.6
1,640.1
5,680.4
492.3

5,422.5
1,493.8
1,640.5
5,690.1
493.0

1,826.8
382.2
2,699.0
9,463.0
1,100.9

1,827.7
382.8
2,700.2
9,474.9
1,103.9

1,828.7
382.3
2,697.3
9,501.6
1,106.6

1,825.6
363.6
2,697.1
9,492.3
1,108.1

1,820.0

1,820.5
384.7
2,714.3
9,526.8
1,113,2

1,819.5
384.4
2,716.4
9,530.6
1,116.1

1,820.9

2,704.8
9,492.6
1,109.9

1,822.3
384.7
2,712.6
9,513.6
1,1110.7

2,717.4
9,553.3
1,124.4

1,820.3
385.9
2,720.6
9,553.5
1,128.7

1,817.6
387.4
2,720,5
9,563.3
1,134.9

1,818.9
389.9
2,728.0
9,575,4
1,137.9

302.9
3,575.4
2,695.8
737.6
2,798.0
254.7

302.7
3,582.5
2,700.5
735.7
2,802.1
255.0

303.4
3,597.1
2,703.7
736.5
2,809.6
255.2

303.4
3,594.4
2.701.3
736.6
2,815.3
254.8

304.1
3,599.4
2,707.4
737.7
2,814.5
254.6

305.1
3,616.4
2,710.3
739.8
2,816.0
255.9

305.4
3,621.3
2,717,8
737.5
2,319.3
257,3

306.6
3,623.5
2,722.4
736.8
2,812.1
257.7

305.4
3,629.3
2,723.8
741.1
2,811.2
259.2

305.8
3,630.5
2,733.7
740.3
2,815.2
259.9

305.6
305.2
3,625.7 3,627.3
2,744.0 2,747.8
742.3
742,5
2,818.5 2,826.7
261.4
260.1

See footnotes at end of table.




62

2,214.4
1,669.2
430.7

ESTABUSHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)

2005

2004

State
Apr.

May

June

July

Aug.

Sept. I

Oct,

Nov. I Dec.

Jan.

Feb.

Mar.

Construction

857.1

102.5
17.7
192.1
51.5
§54.8

102.3
17.8
1927
51.6
660.4

105.7
17.7
195.0
52.1
860.2

106.3
17.9
197.1
52.2
865.8

106.5
18.0
198.0
52.1
870.3

107.0
18.1
199.2
51.9
870.2

107.2
18.2
201.3
52.0
882.7

107.1
18.2
205.7
52.6
887.3

149.9
65.8
26.3
12,3
491,5

150.6
65.8
26.5
12.3
494.0

150.2
66.1
26.6
12.0
495.7

151.3
66.5
26.7
12.1
497.0

152.2
67.6
26.8
12.0
499.5

154.0
68.1
267
12.2
501.6

156.2
68.1
27.0
12.0
504.9

155.6
67.5
27,7
12.0
511.3

157.8
67.7
28.1
12.1
509.4

159.1
68.8
28.2
12.2
510.9

158.4
70.8
27.9
12,5
512,9

197.0
28.9
39.6
268.9
148.8

198.5
29.2
39.6
2877
1487

199.3
29.4
39.8
266.1
149.0

198,4
29.4
39.9
2637
147.3

196.4
29.6
39.9
264.4
147.9

199.9
30.5
40.0
264.3
149.5

198.8
30.5
40.5
267.3
149.6

198.5
30.6
40.7
265.9
149.3

197.7
30.6
407
263.1
150.8

199.5
30.8
41.4
264.1
152.3

199.5
31.2
427
268.8
153.7

199.3
31.5
43.5

118.8
31.2

68.3
62.9
83.4
115.5
30.9

68.5
63,1
83.3
110.9
30.9

68.5
63.6
83.4
115.8
30.8

68.0
637
82.7
114.0
30.8

68.5
64.1
82.7
113.6
30.6

68.5
64.3
83.5
116.4
30.9

68.6
65.0
83.9
116.8
30.8

69.5
65.3
84.9
116.7
31.0

68.0
62.1
85.2
117.9
31.2

67.8
63.2
85.7
117.2
31.8

68,4
66.1
86.7
119.9
32.1

69.1
66.2
87.2
119.8
31.6

Mississippi ................

170.7
137.6
192.5
131.1
49.0

177.2
138.0
190.4
129.1
49.1

177.8
138.9
190.8
128.2
49.2

178.5
138.9
191.6
125.2
49.4

178.6
1387
190.2
126.0
49.4

179.3
1387
190.5
126.3
49.5

178.7
140.0
190.9
126.7
50.1

179.7
139.3
190.1
128.1
49.5

179.5
139.8
188.3
127.8
49.3

179.4
140.1
192.2
126.0
49.2

178.4
140.0
190.9
126.0
49.5

178.5
141.3
189.6
125.3
49.1

178.8
142.0
190.7
126.9
49.5

Missouri ...................
Montana
Nebraska2 ...............
Nevada .....................
New Hampshire

137,8
25.0
48.9
114.9
29.8

137.8
24.4
115,3
29.6

137.6
24.6
48.6
116.8
297

138.0
25.0
48.6
119.9
29.9

137.6
25.0
48.2
120.2
29.8

138.1
25.0
48.2
122.4
29.9

138.6
25.1
47.3
124.4
30.2

139.5
257
47.0
124.4
30.1

139.7
25.8
47.5
125.6
30.1

136.7
25.2
46.8
126.9
29.9

138.1
25.6
48.3
129.0
30.0

140.0
26.1
50.3
130.1
30.4

140.8
26.4
49.1
132.4
30.8

New Jersey
..........
New Mexico ....
New York............
North Carolina ..........
North Dakota ............

164.3

165.3
49.5
319.1
215.7
17.4

166.0
49.9
319.5
215.8
17.5

165.6
51.0
317.8
217.0
17.4

166.4
50.4
317.9
219.1
17.2

167.1
50.9
318.9
218.3
17.2

507

170.0
50.6

318.8
215.4
18.1

318.2
220.8
17.2

3197
2187
17.0

170.3
51.5
320.1
219.8
16.9

167.7
51,9
320.3
223.0
167

167,0
51.8
320.8
222.2
17.3

166.2
52.8
321.4
222.8
17.0

236.7
61.9
82.5
246.9
207

236.1
61.8
82.5
248.1
20.6

235.6
62,1
82.9
248.1
20.7

234.4
62.1
83.3
248.3
20.6

234.5
61.7
82.2
247.0
20.6

235.1
62.4
83.4
249.0
20.6

236.3
62.2
84.0
250.8
20.8

236.9

234.6
63.1
84.7
249.4
20.8

2347

62.3
84.3
249.3
20.9

236.8
63.3
84.2
249.3
21.0

86.0
248.7
211

236.4
62.6
88.1
249.8
21.0

236.8
63.0
89.1
253.7
21.1

114.7
20.2
117.2

114.4
19.7
117.4
540.2
73.0

113.S
19.0
117.2
541.3
74,0

112.8
19.8
116.8
538.7
73.6

111.1
19.9
116.9
5397
73.9

112.8
197
118.1
542.5
73.7

111.6
19.5
117.6
542.9
73.2

110.9
19.9
118.4
542.9
73.1

111.8
19.9
120.0
543.4
75.1

112.0
197
119.6
542,9
76.2

111.8
20.9
119.9
544.2
77,3

112.3
21.6
1197
548.2
77.5

t$J
230.6
163.5
34.7
126.1
19.3

16.7
231..7
164.3
34.7
126.0
19.»

16.7
231.1
164.3
34.6
126.8
18.6

167

167

232.1
164.3
34.2
125.4
18.3

230.9
164.5
34.5
125.9
18.6

16.7
234.8
165.0
34.4
125.8
19.0

16.7
236.5
165,1
34.4
125.8
19.0

16.8
239.9
164.4
36.1
127.1
19.0

17.0
237.3
167.9
367
131.8
19.3

17.2
237.9
170.5
36,8
131.5
19.5

17.8
238.1
170.9
36.9
134.0
19.7

Alabama ...................
Alaska.......................
Arizona
Arkansas
California
.............

102.6
17.4
187.3
§1.8
841.0

102.3
17.6
187.7
51.6
840.0

102.0
17.7
188.9
51.7
845.1

Colorado...................
Connecticut

151.4
65.6
26.2

150,3
65.6
26.0
12.8
488.6

Delaware2
...........
District of Columbia 2
Florida

12.8
489.1

Georgia

198.4

.............

Hawaii 2
Idaho
Illinois........................
Indiana ......................

Iowa ..........................
Kansas ......................

Kentucky...................
Louisiana ................
Maine
Maryland2
Massachusetts..........
Michigan

Minnesota

Ohio..........................
Oklahoma .................
Oregon .....................
Pennsylvania
Rhode Island

aas
40.0
2$9.7
148.5

63.4
83.5

49.4

487

South Carolina..........
South Dakota............
Tennessee................
Texas........................
Utah ..........................

544.7
72.3

114.6
19.7
117.3
540.8
72.6

Vermont
Virginia......................
Washington...............
West Virginia ............
Wisconsin .................
Wyoming...................

17.0
229.2
163.7
35.2
128.2
19.7

167
229,5
163.7
35.2
126,5
19.5

104.3
18.0
190.9

517

Sea footnotes at end of table.




63

168.7

627

105.9
18.5

207.9
53.3

269.2
153.4

166.4
52.8

322.6
225.4
18.4

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

()

()

Jan.

Feb.

Mar.

Apr.P

Manufacturing
Alabama ..
Alaska
Arizona ....
Arkansas..
California ,
Colorado
Connecticut
Delaware
District of Columbia
Florida

()

<>
175.2
204,4
1,529.7

()
175.6
204.4
1,529.7

(
176.5
204.2
1,527.4

()
176.5
204.6
1,547.

()
175.7
204.1
1,538.5

175.6
203.6
1,531.2

()
175.6
204.0
1,534.5

175.6
204.2
1,533.9

175.4
203.9
1,535.1

()
176.3
203.3
1,538.1

()
177.
202.9
1,535.8

<>
177.3
203.2
1,532.9

<>
176.6
203.3
1,533.1

154.3
197.5

154.1
197.4

154.6
197.5

155.3
198.1

155.2
197.3

155.1
197.0

154.8
197.7

154.6
197.7

154J
197.9

155.0
197.6

154:
198.9

154.2
198.9

153.7
198.6

385.3

()
388.0

<)
388.0

15.7
60.7
694.6
575.3

15.6
61.2
693.3
575.7

62.0
693.0
576.3

f

3

()

389.7

3

389.9

3

3

3

3

()

()
391.0

390.3

()
368.3

()
385.7

()
386.0

15.5
61.9
699.5
569.6

15.5
61.8
697.2
572.4

15.6
61.7
696.8
573.4

)
15.4
61.3
698.7
575.4

)
15.5
60.9
574.4

1S.6
61.0
699.7
575.0

?

388.8

!
()
388.6

15.6

<>
15.2

()

Georgia ...
Hawaii
Idaho
Illinois.......
Indiana

)
15.4
61.7

15.4
61.6

571.8

572.3

15.4
61.7
697.0
572.5

Iowa
Kansas
Kentucky..
Louisiana
Maine

221.9
176.0
264.2
153.2
63.0

222.0
176.4
264.5
152.4
63.1

222.9
175.7
264.2
152.3
63.2

224.6
177.3
258.2
152.0
63.3

222.6
176.8
264.6
151.3
63.0

224.0
177.0
264.4
150.9
62.9

224.6
177.6
265.5
151.6
63.1

224.7
178.2
264.7
151.7
63.3

224.2
178.5
264.2
1511.3
63.0

224.7
180.0
264.6
151.8
62.5

2248
179.8
264.5
1512
62.4

224.9
179.1
265.1
151.3
62.2

225.8
179.0
266.8
151.4
62.2

Maryland

142.7
314.5
704.2
341.4
180.3

142.7
313.8
702.2
341.1
179.5

142.4
313.5
695.6
342.5
179.9

143.6
316.8
676.3
343.0
179.5

143.2
315.0
696.9
342.7
179.9

142.9
313.6
695.7
344.4
179.6

142.4
313.4
693.4
347.5
178J

142.1
312.9
685.3
346,9
178.9

142.2
312.7
690.4
347.9
178,9

140,5
312J
680.9
347.2
178.7

140.5
313.3
689.2
347.6
178.9

140.3
312.0
676.9
347.8
179,4

140.1
312.7
678.2
345.9
179.3

312.4
19.2
100.6
3
( )
79.8

312.6
19.1
100.9
3
< )
79.8

313.6
19.1
100.7
3
( )
80.2

309.7
19.2
100.8

313.0
19.2
100.6

312.8
19.2
100.4

313.2
19.0

313.3
18.8
100.2

314,7
19.2
100.5

310.0
19.1
98.8

314.0
19.3
98.9

315.6
19.5
99,3

808

80.7

80.9

81.1

81.0

810

81.0

80.9

80.9

314.3
19,5
99,1
3
< >
80.5

New Jersey
New Mexico
New York
North Carolina
North Dakota ...

36.0
598.3
577.4
24.2

338.1
36.0
597.5
577.7
24.4

338.0
36.0
597.1
577.6
24.7

340.3
35.8
596.4
582.6
25.4

337.8
35.6
5950
581.3
25.6

338.2
35.6
593.7
580.6
24.8

338.1
35.8
591.0
579.1
24.7

337.6
36.5
589.8
580.9
24.6

337,0
36.5
589.8
579.0
244

335,0
36.1
589.9
576,2
24.5

333.9
35,7
588 7
575.9
24.6

332.4
35.8
586.3
575.7
24.9

331.6
35.5
582.3
574.7
25.3

Ohio
Oklahoma
Oregon
Pennsylvania ...
Rhode Island ...

825.4
(3)
198.3
690.7
57.0

824.3
(3)
199.2
691.4
57.1

823.0
<3>
199.8
691.2
57.1

826.0

825.0

825.2

827,8

824.5

823.1

823.7

200.8
692.2
56.9

200.8
690.7
56.6

826.7
C3)
201.5
690.2
56.7

826.6

200.8
694.8
58.2

201.7
690.2
56.6

201.8
689.2
56.4

202.4
687.9
56,3

204.6
686.2
56.5

206.1
685.6
55.9

823.1
(3)
204J
684.9
55.1

888.3
117.4

()
889.6
117.6

37.4
298.4
267.4
62.6
506.4

37,3
299.1
267.6
62.6
503.8

Michigan ...
Minnesota.

Missouri
Montana
Nebraska
Nevada
New Hampshire.

South Carolina..
South Dakota...
Tennessee
Texas
Utah
,
Vermont
Virginia
Washington....
West Virginia .
Wisconsin ......
Wyoming

889.5
114.3
36.8
299.6
263.5
63.5
501.6
3

()

(*)
(3)

()

114.9

(>
891,8
115.4

()
890.5
115.5

115.6

36.8
299.1
263.0
63.6
502.0

36.9
299.3
262.8
62.7
501.4

37.0
301.9
264.1
62.9
502.7

37.2
299.0
262.9
62.8
503.1

37.4
298.6
263.5
62.7
502.6

3

3

3

See footnotes at end of table.




(3)

C3)

888.6
115.0

3

(3)

64

3

62 2
690.0
575.3

(8)
890.9
115.1

C3)
889
116.0

(>
887.3
116.7

()
885.6
116.7

37.2
300.6
263.3
62.9
503.5

37.1
299.5
265.1
62.7
504.0

37.1
299.7
265.7
62.5
503.0

37.1
299.0
266.6
62.8
500.6

S

3

()
886.5
116.3
37.4
298.4
266.4
62.7
504.0
3

3

3

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct. |

Nov. [

Peg

Jan.

Peb, ] Mar.

Apr,P

Trade, transportation, and utilities
Alabama ................
Alaska
Arizona
Arkansas
California ...............

377.4
61.8
3

C )
241.2
2,741.9

406.3
307.0
30.6

377.1
62.2

s

c>
241.3

2,7472
407.4
307.6

377.0
62 2
3

I )'
241.5
2,747.9

375.7
62.3

376.7
61.9

375.8
62.4

375.9
62.6
(3)

377.7
62.0

242,3
2,764,5

241.8
2,763.8

241.7
2,761.9

241.8
2,771,3

241.7
2,780.8

242.5
2,778.9

241.8
2,768.0

379.3
61.7
<3l
242.3
2,7653.4

408.5
308.9
81.0

408.2
308.7
80.8

408.2
308.9
80.9

408.5
313.8
81.0

409.2

412.5
309.7
81.5

414.2
310.8
82.3

1,499.5

1,504.3

410.0
311.7
82.5
<3>

1,506,0

825.2
113.0
117.7
1,180.2
576.1

826.3
114.6
117.7
1,179.9
575.6

825.6
114.3
118.4
1,180.3
575.7

825.4
114.4
119.0
1,180.9
575.6

822.6
113.8
117.8
1,172.9
576.0

1,524.0
820.7
115.0
118.2
1,175.4
578,0

376.9
62.3

376.3
62.1

3

3

380.7
61.9
()3

382.2
62.2
3

()

242.5
242.2
2,769.4 2,765.8
413.6
312.1
81.3
<3>
1,529.1

413.2
313.0
81.1
(3)
1,532.0

823.7
115.3
118.7
1,179,1
579.8

821.6
116.2
118.9
1,184.5
579.7

1,497.8

1,499.5

407.7
308.0
80.9
(3)
1,501.1

Geoigfa
Hawaii ...................
Idaho ......................
Illinois.....................
Indiana

829.8
111.6
117.6
1,179.5

576.9

830.3
111.9
118.1
1,181.3
577.3

329.3
112,3
118.0
1,181.2
577.4

Iowa
Kansas
Kentucky
Louisiana ...............
Maine .....................

305.2
262.7
372.6
381.3
125.7

304.8
263.4
372,3
381.2
125.8

305.0
263.5
372.8
380.7
125.6

306.6
262 0
371,5
380 0
125 6

306.4
261.8
372.0
379.3
125.8

305.8
259.8
372.2
378.0
125.7

307.3
259.8
373.1
379.6
126.0

307,8
258.7
373.2
380.9
126.5

308.0
258.8
372.7
380.6
126.7

305.3
258.8
372.8
382.4
126,6

305.7
259.7
372.6
381.2
127.0

305.9
259.8
372.6
382.1
126.2

306.7
259.9
373.1
382.2
126.1

Maryland ...............
Massachusetts.......
Michigan ................
Minnesota
Mississippi .............

467.5
573.4
313.3
521.8

467.7
573.4
812.5
522.5
220.8

470.1
573.0
811.1
524.3
220.2

467 8
574,1
8118
522,4
219,9

467.4
573.4
810.5
523.1
219.8

466.2
574.3
809.7
525.2
219.7

467.4
573.9
807.3
526.0
220.2

468.3
573.4
808.4
527.0
220,1

470.9
572.8
808.7
528.9
220.0

472.1
575.2
815.1
530.1
220.2

474.0
574.3
816.3
527.5
221.8

473.3
574.0
812.9
527.5
222.3

474.9
573.6
814.2
527.5
223.5

Missouri ..............
Montana..................
Nebraska ................
Nevada
New Hampshire.....

532.7
36.4
195.0
203.4
139.9

534.2
86.4

534.6
36.3
196.0
205.0
139.9

534 8
86.3
196.5
203.ii
140,6

533.5
86.0
197.0
203.3
140.8

533.4
85.8
197.3
203.3
141.1

534.5
85.5
198.1
206,0
140.6

535.9
85.9
198.4
208.4
140.8

539.5
86.0
198.3
210.7
140.9

533.4
85.6
198.5
209.0
140.8

534,0
85.8
199.1
209.9
140.5

536.4
86.5
200.8
210.4
141.4

537.2
86.6
201.1
211.1
141.7

871.4
130.1
1,490.4
725.fr
72.S1

874.7
137.7
1,489.1
724,1
72.7

877.0
137.7
1,488.0
723.5
72.8

878.2
137.4
1,493.1
723.7

878.1
137.8
1,494.2
725.3
72.5

1,484.5
718.3
72,5

885.3
138.0
1,487.8

72.6

877.8
137.7
1,493.3
725.9
72.3

882.8

725.6
72.9

877.4
137.7
1,485.0
725.1
72.9

887.4
138.4
1,489.1
724.1
73.4

890.4
138.1
1,492.0
727.2
73.7

1,030.5)
275.2:
320'.$'
1,124,1

1,039.0
274.2
321.5
1,122.6
79.7

1,038.2
273.6
321.3
1,121.6
79.5

1,035.0
274.2
323.1
1,124.7
79.5

1,038.3
274,3
323.4
1,125.8
79.4

1.037.8
275.2
324.5
1,127.1
79.3

1,033.9 1,032.1 1,033.7 1,030.9
277.7
276.8
276.4
277.6
330.4
329.6
327,9
330.1
1,1267 1,126.5 1,127.9 1,128.0
78.6
78,9
79.2
79.8

353.5
353.3
77.3 *
77.3
586.8
582.9
1,946.8 1,948.3
219.6
219.6

353.2
77.1
587.2
1,943.7
220.0

353.2
76.9
220.6

352.8
76.8
588.0
1,953.3
221.0

354.2
77.2
585.9
1,954.3
221.7

647.1
520.6
137.2
540.4
49.1

()
646.2
520.7
137.2
542.2
49.0

()
652.1
522.6
137.8
542.3
49.6

<)
652.9
525.9
137.4
544.2
49.7

652.6
528.9
137.4
543.9
49.8

Colorado
Connecticut............
Delaware ..............
District of Columbia
Florida ..................

80.5

C3)

220.9

195.5
203,7
140.2

876.4

New Jersey
New Mexico ....
New York
North Carolina
North Dakota

870.8
138.1
1,478.2
724.5
72.7

Ohio
Oklahoma ..............
Oregon ..................
Pennsylvania.........
Rhode Island .........

1,037.0
277.0
319.2
1,118.2
79.5

1,036,4
276.8
319.7
1,120.4
80.6

1,037.8
276.6
320.4
1,121.8
80.2

South Carolina.......
South Dakota

353.1
77.0
1,941.2
219.3
Ca)
648.8
519.4
136.4
541.2
49.2

137.9
1,483.0

Tennessee.............

353.3
76.7
586.2

Texas.....................
Utah .......................

1,942.9
218.1

353.3
77.0
586.2
1,944.2
219,0

Vermont.................
Virginia
Washington
West Virginia .........
Wisconsin
Wyoming................

647.2
518.2
136.7
538.0
49.4

>
647.8
518.6
136.7
538.9
49.1

585.9

3

3

1,497.3! 1,500.4

831.7J

830.7
112.3
112.5
118.4
118.1
1,181.2 1,180.6
579.41 578.2

B47.«
519.4!
137.0,
539.5
49.31

Se© footnotes at end of table.




312.9
81.8

65

590.1
1,950.3

1,508.2 1,517.9

137.9

c3)

723.6
73.1

3537
77.9
592.0

354.5
77.7
592.6

1,959.0
224.1
655.0
523.3
138,1
540.3

355.2
79.0
594.0

1,955.8
223.9

355.7
78.3
593.1
1,956.7
224.7

1,959.4
224.7

656.6
532.8
137.8
540.6
49.8

C3)
655.6
532.1
138.5
539.2
49.8

656.8
530.6
137.8
543.1
49.7

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major Industry, seasonally adjusted—Continued
(In thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar

Apr.P

Financial activities
Alabama
Alaska..
Arizona
Arkansas
California

,

Colorado
.
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana

.

,

.,

Iowa
Kansas
Kentucky
Louisiana
Maine

.

96.5
14.6
164.1
50.9
896.6

96.8
14.6
164.4
510
896.5

96.6
14,4
164.7
510
907.0

96.5
14.6
164.9
511
907.7

96.5
14.6
165.1
511
908.2

96.4
14.6
165.4
511
9112

96.2
14.9
165.1
511
913.5

96.0 .
14.6
165.4
512
916.4

95,4
14.6
165.4
515
917.8

14J
165.6
519
917,2

95.5
15,0
165.6
52.0
917,4

95.6
15.0
166.8
52.0
915.6

154.5
140.5
44.3

154.6
140.4
44.5

154.7
140.5
44.7

155.1
140.6
44.7

155.1
140.6
44,8

155.8
140.7
44.8

156.7
140,6
44.8

157.5
140.4
44.7

158.6
140.8
44.7

156.2
140.7
44.7

156.6
1412
44.8

156.9
1413
44.4

156.8
1413
44,4

5012

5018

502.4

502.5

503.0

503.3

503.0

505.0

507.1

507.4

508.5

508.5

512.3

218.4

217.9

217.2

218.4

218.3

218.3

218.9

218.4

219.4

2218

220.5

220.5

220.6

399.2
140.0

399.3
140.1

399.1
140.0

399.7
140.0

399.6
140.0

399.9
139.7

399.7
139.9

399.5
140.5

399,5
1414

398.5
140.3

398.6
140.5

400.5
141.1

400,5
140.7

96.5

96.6

96.6

97.0

97.2

97.1

97.0

97.0

97.4

97.9

98.0

98.4

98,7

87.6
102.7
35.1

87.5
102.7
35.2

87.3
102,9
35.1

87.5
103.0
34.8

87.5
103.0
34.9

87.1
102.8
34,7

86.2
103.2
34.3

86.0
102.9
34.4

86.1
103.0
34.5

85.7
103.1
34.5

85.6
103.8
34.7

85.0
104.1
34.5

84.9
104.5
34.4

155.5
220.5
217.4
177.0

155.4
220.4
217.2
176.9

154.8
220.2
217.6
177.0

155.1
220.7
217.8
176.0

155.3
220.1
217,7
175.4

155.3
219.5
218.4
175.4

155.7
218.7
218.2
174.9

156.0
219.0
218.7
174.6

155.8
219.4
218.7
175.1

157.4
218.7
218.4
177.8

157.5
219.4
217.8
178.1

158.1
219.6
218.3
178.8

158.1
219.6
217.6
179,1

C3)

. .

Maryland . . .
Massachusetts
Michigan
Minnesota
Mississippi

96.5
14.8
164.2
50.9
896.3

. -.

C3)

C3)

C3)

95.5

Missouri
Montana
Nebraska
..
Nevada
.
New Hampshire

163.0
210
62.9
60.9
37.2

163.0
210
62.9
610
37.3

163.8
212
62.9
614
37.4

163.1
212
62.9
62.3
37.6

163.4
212
63.0
619
37.7

163.4
212
63.1
619
37.7

164.7
210
63.3
62.1
38.0

165.3
21.0
63.2
616
38.2

165.8
212
63.4
62.8
38.2

165.4
211
63.4
63.2
38.4

165.6
212
63.8
63.5
38.6

165.6
213
64.2
64.0
38.7

166,1
214
64.1
64.5
38.5

New Jersey
New Mexico
New York
North Carolina
North Dakota

277.3
34.5
699,6

277.7
34.4
699.0

277.7
34.5
699.0

278.7
34.7
704.1

278.6
34.6
703.7

278.6
34.8
703.4

279.5
34.9
764.8

280.2
34.9
704.8

280.3
35.1
706.2

281.2
35.0
707.5

2810
35.3
710.0

2819
35.2
707.4

18.6

18.7

18.7

18.5

18.5

18.5

18.6

18.6

280.8
35.0
706.2
3
C )
18.7

18.8

18,6

18.8

18.9

312,4
84,4
96.3
336.8
34,1

312.2
84.1
96.5
336.8
34.5

312.7
84,3
96.8
336.5
34.3

3117
84.0
96.8
336.7
34.2

3119
84,2
97.0
335.9
34.2

312.1
84.4
96.9
335.3
34.2

312.3
84.7
96.7
334.8
34.0

312.6
84.6
97.2
335.1
34.0

313.5
84.7
97.6
335.5
34.4

313.5
84.4
98.1
335.2
35.0

313.7
84.8
98.3
334.9
35.2

313.1
85.6
98.2
335.2
35.3

3117
85.6
98.6
335.3
35.2

92.7
27.7
1414
593.2

92.5
27.8
1416
592.6

92.6
27.8
1413
593.0

93.8
27.8
1416
594,5

94.2
27.9
1418
595.3

94.2
27.9
1415
596.7

94.1
28.0
142.1
597.9

93.5
28 2
142.8
598.5

93.5
28.2
143.1
599.5

93.1
28.8
144.0
599.9

93.1
28.8
144.0
600.3

93.1
28.6
143.8
600.8

93.5
28.0
143.5
600.2

189.3
1518
30.7
158.2

189.1
1517
30.7
158.2

189.1
1519
30.6
158.1

189.5
1514
30.6
157.4

189.7
1513
30.5
157.7

189.8
1513
30.4
157.0

189.7
1515
30.4
157.0

189.8
152.0
30.4
157.0

190.1
152.4
30.3
157.4

190.8
1514
30.4
156,9

1910
1517
30.0
157.7

1913
152.2
30.2
158.4

192.5
152.6
29,7
158.6

.

Oklahoma
Oregon
Pennsylvania
Rhode Island

....

South Carolina
South Dakota
Texas

. . . . , ......,., ,„•,•-••„„

Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wvomina

,

,

See footnotes at end of table.




(I 3 )

66

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B»7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2005

2004

State

June

Apr.

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

Professional and business services
Alabama ................
Alaska
Arizona ..................
Arkansas ................
California ...............
Colorado .................
Connecticut............
Delaware
.....
District of Columbia
Florida ...................
Georgia
........
Hawaii
Idaho
Illinois.....................
Indiana...................
Iowa
.........
Kansas
Kentucky................
Louisiana ...............
yaine.....................
Maryland ...............
Massachusetts.......
Michigan ................
Minnesota..............
Mississippi .............

()
23.1
330.4
107.1
2,076.1

299.0

C3)

()
22.8
330.7
106.9
2,077.3

23.0
332.5
106.9
2,079.9

23.7
338.5
107.4
2,115.3

23.2
340.5
108.1
2,130.2

23.3
342.3
108.2
2,128.3

23.3
343.1
108.4
2,130.4

23.3
3407
110,3
2,126.7

198.0
61.9
143.4
1,295.0

301.0
198.0
61.8
143.4
1,292.9

302.4
199.0
62.3
142.6

1,307.4

303.5
200.1
62.3
142.9
1,314.2

305.0
199.5
62.9
143.8
1,324.7

510.9

510.2

513.2

516.7

519.2

23.3
338.1
108.0
2,113.8

23.2
338.9
107J
2,113.7

300.5
198.2
61.7
143.2
1,299.5

299.9

513.3

196.9
60.5
142.6
1,279.4

298.2
197.1
61.7
143.5
1,282.8

§07.4

508.5

72.6
795.9
264,8

C3)
73.1
797.0
264.9

503.2
(3)
73.6
800.8
266.1

108.0
*3)
160.6
184.3
49.9

107.5
(3)
161.1
184.8
40.7

107.8
(3)
162.3
184.6
49.7

107,4

106.8

106.3

106.0

160.8
184.4
49.8

162.4
184.3
49.6

163.8
183.6
49.4

164.9
182.6
49.7

165.1
182.1
49.5

370.7
448.4
584.1
302.7

371.5
448.7
583.2
303.0

372.7
449.9
583.5
303.5

374.2
449.1
588.$
304.1

373.5
449.3
589.2
305.4

374.8
449J
589.1
304.3

376.9
452.2
588.8
304.4

377.3
452,9
587.3
303.6

100.0

C3)

B

299.0
197.6

62,0
144.2
1,292.7

C3)
307.3
33.6
94.4

130.7
57.5

305.4
33.5
94.1
131.4
57.2

New Jersey............
New Mexico
New York...............
North Carolina
North Dakota .........

§82.3
90.0
1,052.4
423.4
24.2

Ohio.......................
Oklahoma ..............
Oregon ..................
Pennsylvania .........
Rhode Island .........

621.9
160.7
176.6
630.6
52.9

South Carolina .......
South Dakota.........
Tennessee.............
Texas ....................
Utah .......................

300.5
1,084.6
137.8

Vermont.................
Virginia .................
Washington............
West Virginia
Wisconsin ..............
Wyoming

21.5
570.0
300.2
57.8
249.5
15.4

Missouri ................
Montana.................
Nebraska
Nevada ..................
New Hampshire .....

305.9
33.2
93.6

73.8
801.1

73.6
797.7
268.5

132.8
57.0

583.9
90.1
1,054.0
424.1
24.4

584.4
90.2
1,056.6
424.5
24.3

621.5
160.0
176.5
631.8
53.2

300.6

57.6
249.9

144.3
1,3437

145.8
1,349.5

5211

520.4

519.3

75.4
800 2
272,0

75.5
806.1
272.5

518.8
(3>
76.4
822.3
272.9

106.3

165.2
185.0
49,6

108.1
(3)
167.5
185.2
49.9

377.5
454.6
584.6
303.1

378,0
454,3
571.6
2987

380.9
4557
573.0
302.6

383.3
455.4
572.8
301.9

384.4
460.1
569.4
304.6

300.9
33.2
94.3
135.7
56.5

302.6
33.0
94.3

299 6
32.7
94.8

302.2
33.2
94.9

137.7
56.2

139.2
55.2

138.3

304.3
33.7
95.8
140.2
55.9

306.2
34.0
95.2
143.1
56.2

585.0
92.1
1,060.3
436.9

578.4
91.7
1,057.0

583.1
91.8
1,061.4

564.4
92.1
1,065.8

23.9

430.9
23.9

581.4
91.6
1,058.4
435.3
24.0

439.4
23.9

443.9
24.2

630.0
165.1
180.0
641.2
54.6

627.2
165.8
180.1
644.8
54.9

633.7
165.3
1817
648.5
55.2

638.0
166,3
181.9
648.2
55.3

643.1
167.8
181.9
648.5
55.7

)
305.5
1,097.3
141.1

(>
306.9

<>
304.5

1,103.1
141.8

1,106.5
143.6

305.5
1,109.0
145.4

21.2
592.1
308.1
58.1
248.3
15.4

21.2
590.4
310.5
58.1
249.9
15.3

21.5
590.9
312.5
58.1
251.9
15.8

91.3
1,058.7
436.1
24.0

©23.9
160.6
177.0
634.1
53.1

627.3
161.9
1773
634.8
53.7

630.9
162.1
178.0
632.9
54.3

632.6
162.7
178.5
633.5
53.9

632.3
163.1
179.1
636.5
54.3

632.7
163.8
179.8
638.8
54.4

()
302.1
1,089.3
138.3

<>
303 0

<>
302.7

1,095.3
138.-0
21.2
580.3
304.4
58.2
250.5
15.3

()

C3)

C3)

<>
C3)

1,094.8
137.8

302.4
1,093.7
137.1

303.5
1,093.2
138.9

305.4
1,094.6
139.2

306.1
1,090.2
139.9

21.2
582.1
304.0
58.1
251.1
15.4

21.3
583.3
304.4
56.2
251.7
15.2

21.3
587.1
305.3
58.4
253.0
15.3

21.3
589.5
305.7
57.6
253.3
15.5

21.2
589.1
305.6
57.7
249.9
15.2

67

63.5

142,0
1,335.2

164.4
185.8
49.6

584.2
91.5
1,059.3
437.0
23.9

See footnotes at end of table.

305.7
198.0

63.4

164.0
185,2
49,1

583.6

252.1
15.4

198.0

1057

583.1
91.2
1,054.0
434.2
24.1

21.1

309.4

198,1
83 3
143,3
1,3392

63.3

105.2

582.7
90.8
1,055,3
432.3
24.3

575.5
302.2
57.6

307.6

197.8

166.0
181.9
49.3

583.:-!
90JS
1,055.2
430.
24.4

()

304.6

74.8
794,1
270.3

133.5
57.1

()

2,135.4

23.9
345.8
109.4
2,138.4

73.5
799.3

300.9
32.9
94.8

15,4




73.8
796.8
269.7

301.6
33.6
94.3
134.0
56.9

136,3
56.6

()
23.8
343.0
109.5
2,1357

C3)

C3>
301.6
33.6
94.6

1,085.6
137.9
20.9
572.7
300.9

73.8
800.5
269.9

3

302.CI
33i>
94.4
134.t
57.3

o
<3)

73.6
797.2
268.5

23.3
343.6
109.9

21.2
589.1
305.7

57.9
247.3
15.1

55.2

1067

C3)

C3)

3

()

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B*7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004

2005

State
Apr,

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.*

271.8
145.2
1,584.0

Education and health services
Alabama
Alaska
Arizona
Arkansas.....
California ....
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia ,..
Hawaii
Idaho
Illinois
Indiana

34.6
256.9
141.9
1,558.8
217.1
51.4
914.4

<>

()

34.6
258.0
142.2
1,555.8

34.6
259,2
142.6
1,558.6

34.6
256.9
142.8
1,564

217.7
(3)
51.6
<3>
915.7

218.1
<3>
51.7
(3)
916.3

218.4

34.4
261.1
142.9

34.9
263.2

34.6
264.0

265.6

35.0
266.4

143.1

144.0
1,567.3

144.2
1,570.4

1,565.0

1,567.1

144.7
1,571.1

220.8
219.6

220.8

218.9

51.9

52.4

926.7

930.2

51.8
51.9

51.7
918.6

923.5
66.7
727.1
367.1

(3)
67.1
(3)

(3)

34.8

67.2

67.4

67.7

727.2
365.3

67.1
( )
726.7
366.4

728.3
368.6

728.2
366.0

728.2
371.7

35.3
268.4
144.5
1,577.4

35.6
268.9
144.
1,579.3

36.2
270.!
144.9
1,577.5

2211.3
C3)
52.9
3

222.2

222 8

223.0

53.6

53,1

53.1

933.4

935.8

93(5 8

940.0

68.7

68.8

728.9
373.2

730.5
373.6

I )

68.3

68.6

733.7
374.3

731.5
374,3

223.5
(3)
532
<3)*
941.7
(3)

3

731.9
373.5

36.2

729.8
372.8

69,0
(3)
732.7
374.3

Iowa

191.1

191.5
<3>
230.9
252.0
111.1

191.4

191.5

191.6

192.2

192.4

192.5

192.4

192.4

230.1
251.2
110.6

191.2
(3)
230.1
251.8
110.9

191.5

Kansas
Kentucky...
Louisiana.
Maine

231.4
253.6
111.1

231.8
255.5
111,5

231.6
251.5
111.6

231.5
253.0
112.2

231.7
252.7
112.4

232,3
252.1
112.3

232.0
252.1
112.5

232.5
253.0
112.6

232.2
253.8
112.6

192.5
<3>
232.4
252.1
113.2

345.2
580.4
556,6
374.9

345.8
580.8
555.2
375.6

346.5
581.9
550.9
377.5

348.1
584.2
552.8
379.6

349.2
583.7
553.8
379.7

348.8
583.7
551.7
377.1

349.4
582.7
552.1
378.8
3

350.0
583.5
554.2
379.8

350.7
584.2
552.6
362.0

352.7
585.1
555,0
379.3

352.9
585.3
553.7
382.0

353.4
586.3
553.6
383 2

354.2
585.5
554.8
382.3

358.9
54.2

358.7
54.6
129.7

357.3
54.7
127.1

358.6
54.7

Maryland
Massachusetts ,.
Michigan

Minnesota

3

Mississippi ........
Missouri
Montana
Nebraska
Nevada
New Hampshire.
New Jersey
New Mexico
New York
North Carolina ,
North Dakota ...
Ohio
Oklahoma

Oregon
Pennsylvania .
Rhode Island .
South Carolina..
South Dakota...
Tennessee..
Texas
Utah
Vermont
Virginia
Washington....
West Virginia .
Wisconsin
Wyoming

357.7
54.0
125.5

54.0
127.1

I )

3

128.4

358.7
54.2
128.8

127.4

3

543.2
101.7
1,516.4
441.7
48.6

544.9
102.0
1,520.5
443.2
48.5

546.1
102.3
1,518.5
444.4
48.4

548.2
102.4
1,520.6

742.8
179.1
191.5
991.7
928

743.3
178.5
191.7
993.5
92.8

180.6
56.1
(3)
1,143.2
122.3

181.1
56.2
(3)
1,142.8
122.8

()

()

378.3
318.3
110.5
373.7

379.5
318.8
110.6
374.1

3

359,9
54.8
127.6

363.6
54.6

362.5

363.3
54.3

128.9

127^4

126.7

558,4

362.9
54.6
127.5

f

3

548.5
102.8
1,526.1
452.2
48.9

550.3
103.8
1,530.7
449.3
48.9

551.8
104.2
1,533.7
451.5
48.9

553.2
555.7
104.2
104.6
1,534.2 1,537.3
454 JS!
456.1
48,8
48.8

557.8
104,7
1,538,7
454.8

48.9

548.4
102.8
1,523.0
453.2
48.9

49.5

454.9
49,6

744.4
178.9
192.4
994.2
92.8

744.8
178.8
193.9
997.7
93.1

746.2
178.0
194.4
997.9
93.1

750.2
178.2
195.0
999.5
93.4

747.7
179.6
195.5
1,003.1
93.2

748.4
180.1
196.0
1,003.9

753,9
181.2
194.0
1,010.0
94.2

753.5
180.9
197.3
1,010.1

752.7
181.0
198.7
1,013.0

93.5

749.1
179.9
196.8
1,004.©
93.7

94(5

95.2

181.2

180.6
56.7

174.3
56.8

172.3
56.6

169.9
56.7

168.4
56.9

167.3
56.8

167.9
356.9

167.5
57.3

168.2
57.2

T, 144.2 1,145.0
123.8
124.1

1.147.7
124.4

1,151.3
124.3

1,154.0
125.3

1,157.0
126.2

1,160.0
125.8

1,161.7
126.5

1,163.4
127.1

<
384.1
321.8
113.3
380.6

(
385.3
322.3
112.1
381.7

56.6
( )

450.9

3

1,141.2
123.3
<)
380.0
319.9
110.8
374.5
3

()
381.2
319.3
111.1
376.7
3

>
381.6
319.6
111.1
378.0
3

See footnotes at end of table.




359.4
54.9
126.9

3

68

()
383.3
320.2
111.6
379.8
3

)
383,0
320.9
113.1
379.9
3

3

3

()
384.7
323.8
112.2

382,5
3

()
386.2
324.4
112,3
381.7
3

104.5
1,540.0

559.1
105.2
1,542.4
456.7
49.3
752,6
181.9
198.8
1,014.2
95.3
168.4
56.9
<3>
1,165.9
127.3

()

()

387.5
325.8
112.3
383.3

386.4
327.0
112.0
302.8

3

3

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major Industry, seasonally adjusted-—Continued
(fn thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

Leisure and hospitality
Alabama
.........
Alaska
.............
Arizona
Arkansas
California ...............

159.0
29.6
238.4
90.1
1,433.7

159.2
29.4
239.3
90.1
1,436.6

158.9
29.9
239.7
90.3
1,433.4

160.5
30.4
241.8
90.7
1,444.8

160.7
30.7
243.0
90.9
1,445.5

160,9
30.6
243.8
91.4
1,447.6

160.8
30.2
245.0
91.2
1,455.8

160.8
29.9
245.1
90.7
1,455.8

160.4
29.9
245.6
90.9
1,454.0

161.2
30.2
247.1
91.9
1,468.8

161.3
30.2
247.2
92.1
1,465.9

161.6
30.3
248.0
93.0
1,471.4

161.4
30.2
248.7
91.7
1,477.7

Colorado
Connecticut............
Delaware
District of Columbia
Florida ...................

250.7
126.9
39,3
50.3
848.2

251.5
127.0
39.8
50.7
848.8

251.2
127.4
39.8
50.7
848.9

251.7
127.1
39.9
50.4
854.0

251.7
127.6
40.0
50.8
855.6

252.6
128.9
40.6
50.7
856.1

253.5
129.0
40.5
51.0
862.4

252.6
128.3
40.8
51.5
865.2

253.2
128.1
40.6
51.8
869.1

253.3
128.9
41.8
52.6
870.3

254.4
129.2
41.7
52.7
875.5

255.9
129.7
41.2
52.5
874.0

256.7

Georgia .................
Hawaii

357.4
102.9
55.1
504.8
274.8

358.1
103.0
55.8
505.4
274.9

358.6
103.4
55,8
504.9
274.8

358.1
103.9
55.6
507.6
275.8

358.9
104.1
55.6
507,2
274.7

358.3
104.5
55.8
507.5
275.6

360.5
104.9
55.9
510.5
274.5

357.7
105.1
55.7
509.1
275.2

357.2
105.5
55.7
509.1
275.1

359.5
105.8
55.8
517.9
279.7

360.5
106.0
56.2
519.0
280.4

361.8
105.7
55,7
519.2
280.1

363.2
106.0
55.8
524.2
283.1

Iowa
Kansas .................
Kentucky................
Louisiana...............
Maine.....................

C3)

C3)

(3)

110.5
159.9
203.8

5&8

110.3
160 8
203,9
59.2

111.0
160.1
203 8
58.9

110.7
160.3
204.1
59.1

110.8
160.6
204.3
59.7

111.3
160.7
204.3
59.8

112.1
160.7
204.8
60.3

112.2
161.7
204.3
61.1

111.9
162,5
206.4
60.5

112.3
163.7
205.2
60.3

112.6
165.0
206.8
59.9

112.4
166.4
207.8
60.3

Maryland
Massachusetts.......
Michigan
Minnesota..............
Mississippi .............

223.2
290.7
403,5
236.6
124.7

222J
290.3
402.5
235.8
124.5

223.5
289.9
403.2
235.6
124.1

223.7
292.3
404.0
236.9
125.1

224.5
290.4
405.0
236.2
125.1

225.8
290.1
404.6
237.3
125.4

229.7
294.0
404.8
237.1
125.4

229.2
294.1
403.6
237.1
125.4

231,0
293.7
402.5
237.6
124.6

232.2
295.7
402.8
238.1
125.5

235.5
297.9
405.6
238.6
127.2

236.6
298.7
406,2
238.3
126.4

237.0
300.9
412.7
240.9
127,3

Missouri
Montana.................
Nebraska ...............
Nevada ..................
New Hampshire.....

266.6
54.2
77.1
311.3
63.3

266.4
53.8
77.5
311.3
63.4

266.1
53.8
77.3
312.4
63.6

266.3
54.0
77.7
315.0
64.7

266.2
54.0
77.3

267.6
54.1
77.9
315.0
65.4

266.9
55.8
77.9
315.5
64.9

267.0
56.9
78.0
314.9
64.4

266.7
58.3
78.4
315.7
64.9

263.1
55.1
81.2
318.1
65.0

265.1
55.2
80.1
319.7
65.5

267.0
56.1
80.8
321,1
66.2

267.0
56.7
82.0
327.5
66,0

New Jersey............
New Mexico ...........
New York...............
North Carolina .......
North Dakota .........

322.6
83.3
656J
345.1
30.2

324.6
83.0
658.6
346.2
30,3

326.0
82.4
661.3
346.1
30,3

326.3
82.5
667.5
345.6
31.4

332.6
82.5
667.9
348.7
31.0

332.3
82.9
668.0
349.7
30.3

333,2
83.2
674.6
348.4
30.9

333.7
83.1
674.1
347.3
31.2

333.0
83.2
676.1
347.8
31.6

677.4

Ohio ......................
Oklahoma ..............
Oregon ..................
Pennsylvania .........
Rhode Island .........

495.6
127.8
155.0
473.8
49.2

495.0
127.9
154.8
473.4
49.5

493.6
128.3
154,5
473.9
49.5

South Carolina.......
South Dakota ........
Tennessee.............
Texas.....................
Utah ........................

198.9
40.8
252.7
880.2
100.9

199.1
40.6
252.4
880.6
101.3

198.6
40.8
250.9
882.8
101.7

201.7
41.0
252.9
885.7
102.2

Vermont
Virginia....................
Washington
West Virginia
Wisconsin ...............
Wyoming

Cs)

Idaho.........
Illinois.....................
Indiana...................

110.0
160.5
203.0
58.9

318.5
255.3
68.2
249.9
31.7

318.6
254.9
68.0
240,1
31.1

318.8
255.1
87.8
248.5
31.2

315.2
65.1

()

329.2
82.3

329.3
81.9

664.3
342.3

664.4
342.4

31.5

31.6

329,9
82.5
665.4
345.8
31.6

501.0
128.4
155.8
475,5
49.9

128.2
157.2
477.0
50.2

499.7
129.3
159.6
477.5
50.2

494.5
129.5
158.9
480.0
50.5

493.1
129.6
159.4
479.7
50.4

492.7
130.2
159.0
480.1
50.6

491.4
131.9
159.1
480.6
50.8

49O.§
131.9
160.7
480.4
50.8

491.4
130.7
160.7
481.3
51.2

497.3
130.9
159.3
484.0
51.4

202.4
41.1
254.6
885.7
102.4

203.3
41.2
254.7
887,0
103.1

204.1
41.3
254.5
888.6
102.4

204.8
41.4
255.9
890.3
102.9

205.6
41.5
256.7
890.3
103.4

210.4
41.0
258.1
893.2
104.3

210.4
41.4
259.2
893.9
104.8

209.3
41.7
256,2
895.2
105.3

207.7
41.9
256.3
897.5
105.2

C3)

<3)

(3)

C3)

C3)

(3)

(3)

()

(3)
319.4
255.6

67.6
253.0

i

<)
319.4
254.6

67.6
254.4
31,2

31.1

See footnote® at and of table.




129.0
41.4
53.4
875.4

69

320.4
255.5
67.7
252.5
31.4

325.3
255.0
67.6
252.3
31.1

325.2
254.8
67.6
250.4
31.8

324.5
255.4
68.2
249.3
32.1

325.4
255.6
68.4
248.7
32.4

323.0
255.2
69.0
248.9
32.4

318.6
256.7
69.0
250.1
32.6

336.0
83.8
348.8
31.9

319.8
258.4

69.4
254.6
32.7

ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

358.2
80.8
397.8
199.8
2,389.5

361.0
81.0
397.1
200.4
2,390.8

361.4
80.7
399.7
200.9
2,391.2

362.7
80.9
403.6
201.5
2,388.2

360.6
80.6
405.1
202.2
2,389.2

231.1
1,062.0

358.4
242.1
57.5
230.2
1,061.7

358.8
241.9
57.6
230.1
1,062.5

356.2
241.7
57.8
229.4
1,072.0

358.0
243.0
58.4
230 4
1,071.9

Georgia
Hawaii...
Idaho
Illinois....
Indiana..

637,9
120.3
114.2
842.2
425.0

636.8
119.8
114.0
839.9
424.3

634.5
119.3
113.6
840.4
425.5

638.4
120.0
113.8
846.0
428.6

Iowa
Kansas
Kentucky....
Louisiana ...
Maine

244.8
251.7
310.2
361.3
104.7

244.3
251,5
308.5
380.6
104.6

245.7
252.3
308.9
380.5
104.7

Maryland
Massachusetts.,
Michigan
Minnesota
Mississippi

463.3
408.5
682.7
411.0
243.0

464.4
407.9
681.8
411.8
242.6

Missouri
Montana
Nebraska
Nevada
New Hampshire.

429.5

Oct.

Nov.

Dec.

360.0
80.6
405.4
201.6
2,390.8

360.2
81.0
409.5
201.9
2,387.3

359.9
81.1
405.6
201.6
2,380.8

360.0
81.8
405.2
201.9
2,381.5

360.9
81.7
408.0
201.7
2,387.4

361.4
82.2
406.8
202.2
2,387.8

2,392.4

360.0
241.6
59.5
229.8
1,073.6

362.2
241.2
59.0
230.8
1,075.9

361.7
241.8
58.9
231.5
1,079.4

362.0
242.0
58.6
230.9
1,076.8

362.0
242.3
59.1
231.1
1,079.6

364.3
242.0
59.5
230.8
1,031.3

364.3
243.4
60.3
229.8
1,082.9

243.1
60.1
230.4
1,086.0

642.2
120.5
114.5
848.5
426.0

642.6
120.9
114.7
843.6
430.5

643.1
120.3
115.7
840.7
428.3

644.7
122.4
115.6
840.8
428.7

643.5
120.2
115.3
838.2
425.2

642.0
117.2
115.1
845.6
430.2

646.1
119.3
115.5
843.6
429.3

646.9
119.1
115.7
844.6
427.7

649.8
119.4
116.2
839.7
428.5

244.2
253.4
308.0
383.8
104.9

244.8
252.4
308.2
385.2
105.3

244.6
254.2
309.2
384.2
105.0

244.6
253.6
308.7
382.9
105.3

244.2
253.7
308.5
382.6
105.4

243.4
254.0
308.2
381.4
105.4

243.1
248.6
309.4
382.5
105.1

242A
25S.8
308.4
382.6
104.6

24Z1
255.5
309.0
382.6
104.7

242.8
255.5
309.0
382.9
105.1

461.9
407.7
680.0
409.2
242.1

459.7
405.7
674.9
412.2
239.8

466.7
405.4
680.9
413.9
241.1

464.6
408.4
684.8
415.6
242.5

460.5
405.1
688.2
411.5
242.7

461.4
405.6
689.1
411.3
243.5

461.6
405.2
688.0
411.1
242.9

461.4
405.1
687.4
414.4
2439

462.2
406.0
687.3
4111.4
244.5

462.5
405.9
685.4
412.9
244.8

462.0
406.7
687.0
413.9
244.8

427.4
86.3
159.9
138.2
91.5

425.0
88.7
160.0
137.8
89.2

429.8
87.3
160.4
138.3
88.5

430.9
86.4
160.9
137.8
88.4

430.8
86.4
161.2
140.5
89.5

428.6
87.3
160.1
140.3
90.7

428.8
87.7
159.6
140.6
90.2

428.2
87.9
159.9
140,9
90.8

430.3
86.6
160.3
141.0
93.1

429.8
86.7
160.0
1142.3
S0.1

428.6
8&£
159.8
142.9
90.8

426.9
85.7
160.5
143.4
90.7

647.6
74.6

630.8
197.7
1,485.8
648.1
74.5

632.9
197.6
1,486.5
648.7
74.8

634.7
197.6
1,478.6
653.7
72.0

636.7
198.1
1B478.1
663.2
74.0

641.8
198.3
1,486.0
666.8
74.7

639.3
199.8
1,484.4
648.8
74.9

639.2
200.0
1,485.1
650.4
74.9

640.8
200.2
1,488.5
650.5
74.8

641.7
200.5
1,485.3
650.8
75.6

640.6
201.1
1,481.5
651.0
75.5

640.5
2013
1,481.9
651.9
75.6

640.7
202.0
1,479.9
652.7
75.6

803.6
299.0
268.8
746.3
65.5

803.4
298.9
269.0
746.8
65.8

804.5
300.8
270.9
747.6
66.1

804.9
301.4
270.1
745,3
65.7

805.0
304.2
269.5
740.4
65.9

800.1
306.0
270.3
744.9
66.0

799.9
306.4
271.1
748.5
65.9

799.0
306.4
271.7
747.5
66.1

797.4
306.3
271.4
746.1
65.3

797.6
305.2
2741
747.0
65.6

799.1
307.9
273.3
745.0
65.7

797.0
308.6
273.2
745.4
65.7

797.4
308.1
274.0
747,6
66.0

323.7
75.0
412.6
1,050.0
198.0

323.7
74.4
412.4
1,651.6
197.8

323.8
74.6
412.9
1,655.7
198.3

329.8
72.1
411.5
1,656.0
198.7

333.4
72.1
412.6
1,657.3
199.8

331.6
75,3
413.5
1,657.2
199.9

331.5
74.3
412.5
1,661.2
199.8

331.5
74.7
412.3
1,663.5
199.3

330.6
74.6
412.6
1,664.7
199.4

328.9
75.0
414,3
1,606.2
200.8

329.6
74.9
411.6
1,664.0
201.1

330.3
75.2
412.9
1,662.9
201.7

331.0
75,7
416.3
1,664.3
201.7

52.3
649.7
522.9
143.1
409.3

52.3
649.0
522.5
143.0
410.6
64.6

51.5
649.5
524.0
143.3
411.6
64.7

52.2
651.4
523.2
143.1
413.4
64.9

52.5
651.8
522.5
143 6
413.5
64.7

52.8
653.8
525.8
143.9
413,4
64.7

53.2
654.1
525.1
143.2
412.6
64.4

53.0
655.1
525.3
142.8
414.1
64.4

52.9
655.9
524.7
142.6
412.3
64.5

53.0
654.2
524.6
143.9
418.9
64,5

52.8
654.5
523.7
142J
413.3
64.2

52.7
654.6
525.3
143.6
411.2
64.6

52.8
652.8
524.9
143.5
409 2

Jan.

Feb.

Mar.

Apr.P

Government
Alabama ..
Alaska
Arizona ....
Arkansas..
California .
Colorado
Connecticut
Delaware
District of Columbia .
Florida

New Jersey
New Mexico
New York
North Carolina .
North Dakota ...
Ohio
Oklahoma

Oregon
Pennsylvania .
Rhode Island .
South Carolina.
South Dakota...
Tennessee
Texas
Utah
Vermont
Virginia
Washington....
West Virginia .

Wisconsin
Wyoming

358.7
81.2
397.1

199.7
2,391.6

359.0
243.0
57.2

86.7
159.9
137.5
90.4

629.8
197.8
1,481.7

64.6

1
Includes natural resources and mining, information, and other services, not
shown separately.
2
Natural resources and mining is combined with construction.
3
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.




360.7
81.5
408.8
202.5

364.8

65.0

P a 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 introduced
with the release of January 2006 estimates, seasonally adjusted data from January
2001 are subject to revision.

70

ESTABLISHMENT DATA
HOURS
SEASONALLY ADJUSTED
BS, Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry sector
and selected industry detail, seasonally adjusted
2004
Industry

Total private ............................

2005

May

June

July

Aug.

Sept.

*33.8

33.6

33.7

33.7

Apr.P

May p

33.7

33.8

33.8

39.8

40.1

39,9

Dec.

Jan.

Feb.

Mar.

33.7

33.7

33.7

33.7

39.9

40.0

39.8

39.9

Oct.

NOV.

33.8

33.8

40.2

39.9

40.1

40.0

40.1

39.9

44.2

43.9

44.2

44.4

44.5

44.8

45.0

45.4

45.5

45.1

45.3

45.7

45,9

38.3

38.0

38.3

38.1

38.3

38.2

38.3

38.4

37.6

38.2

38.3

39.0

38.5

410
4.6

40.7
4.5

40.8
4.6

40.9
4M

40.8
4.6

40.7

40.5
4.5

40.5

40.7
4.5

40.6
4.6

40.4

4.5

40.5
4.4

40,4

4.5

41.5
4.8

412
4.6

413
4.7

41.3
4.7

41.2
4.7

412
4.7

40.9
4.6

411
4.6

41.1
4.6

410
47

40.8
4.5

40.9
4.5

40.8
4.4

Wood products . ., ................................... 41.3
42.1
Nonmetallic mineral products
Primarvmetals
..... . . ..................... 43.4
Fabricated metal products ........................ 4 1 2
42.2
Machinery
.
.....
Comouter and electronic products ......... 40.7
Electrical equipment and appliances ........ 4 1 5
42.7
Transoortation eauiornent
42,8
Motor vehicles and parts2........
FomSture and related oroducts
.. .... 40.0
yiscellansous manufactunnci
. . . 38.8

40.6
418
43.4
410
42.0
40.4
40.8
42.2
42.4
39.6
38.4

40.7
42.2
43.2
412
42.1
40.7
40,8
42.4
42.5
39.3
38.6

40.8
42.3
43.2
412
42.1
40.4
40.9
42.5
42.6
39.3
33.§

40.4
42.4
43.1
412
42.3
40.3
40.6
4Z4
42.4
39.3
38.4

40.3
42.4
43.0
411
42.2
40.1
40.6
42.3
42.2
39.2
38.4

40.0
42.1
42.9
40.9
42.0
39.6
40.1
42.2
42.2
39.2
38.2

40.3
42.3
42.8
40.9
42,0
39.8
40,0
42.4
42.6
39.5
38.3

40.6
419
43.1
40.9
42.0
40.0
40.1
42.4
42.3
39.5
38.5

39,9
42.1
43.0
40.8
42.0
39.6
40.0
42.4
42.3
39.4
38.6

39.5
41.7
42.9
40.7
42.0
39.5
40.0
42.0
417
39.4
38,7

39.5
418
42.6
40.8
42.2
39.8
40.1
419
415
39.2
38.8

39.6
41.9
42.5
40.7
42.0
39.9
39.8
417
412
39.1
38.5

40.3
4A

40.1
4A

40,1
4.4

40.2
4.6

40.1
4.4

39.9
4.3

39.8
4.3

39.8
4.3

40.0
4.4

40.0
4.5

39.7
4.4

39.8
4.3

39.7
4.3

Food manufacturing ...
«
Beveraaes and tobacco products .. ..........
Textile mills.
Textile product mills ..
......... ..........
Aooarel
Leather and allied oroducts .......................
Paper and paper products
Printing and related support activities .......
Petroleum and coal products
Chemicals
Plastics &t\& rubber products ........ ..........

39.6
39.2
40.2
38.7
36.2
38.4
42.6
38.S
45.0
42.9
40.9

39.4
38.6
40.3
38.9
35.9
38.3
419
38.5
44.9
423
40.8

39.3
38.9
40.5
38.6
36.Q
37.8
42.4
38.6
45.0
42.8
40.6

39.3
39.4
40.5
38.8
36.2
38.1
42.5
38.5
45.9
42.9
40.6

39.3
39.2
40.2
39.1
36.2
38.2
42.2
38.3
46.0
42.8
40.3

39.0
38.6
40.1
39.1
36.0
38.4
42.1
38.3
45.0
42.7
40.1

39.1
39.0
40.0
39.1
35.7
38.2
42.1
38.3
45.5
42,4
39,4

38.8
39.6
39.8
39.0
35.9
37.6
42.0
38.5
44.6
42.6
39.8

39.0
40.5
40.2
39.5
35.9
37.1
42.5
38.6
44.5
42.8
40.0

39.3
40.2
39.7
39.5
36.9
37.2
42,1
38.5
44.7
42.3
40.1

38.8
40,1
40.0
39.4
35.9
37.3
419
38.3
45.1
42.2
39.8

38.9
40.1
40.1
39.0
35.7
37.7
42.2
38.3
46.0
42.4
39.7

38.9
38.9
40.5
39.0
35,1
38.5
42.3
38.2
45.9
42.2
39.8

PrivatesesviciMsrovSdlnci

32.4

32.2

32.4

32.4

32.5

32.4

32.3

32.4

32.4

32.4

32.4

32.5

32.4

33.6

33.2

33.4

33.5

33.6

33,6

33.5

33.6

33.6

33.6

33.5

33.5

33,5

Wholesaletrade

37.8

37.6

37.8

37.7

37.8

37.7

37.7

37.6

37.7

378

37.7

37.8

37.7

Retail trad®

30.8

30.4

30.0

30.7

30.8

30.8

30.6

30.8

30.7

30 6

30.7

30.7

30.7

TransDortation and waf&SiQUSifici ,

37.3

36.9

37.2

37.2

37.5

37.5

37.5

37.4

37.5

37.3

37.2

37.3

37.1

Utilities

413

41.1

40.9

40.9

414

40.8

40.4

40.7

410

40.5

40.3

410

410

36.3

36.5

36.3

36.4

36.3

36.3

36.2

36.4

36.3

36.4

36.5

36.5

36.6

'35.8

35.5

35.6

35.5

35.5

35.7

35.6

35.7

35.9

35.8

35.9

36.0

36.0

Professional and business segvlcen..............

34.2

34.0

34.2

34.3

1 34.7

34.3

34.2

34.2

34.1

34.0

34.0

34.2

34.1

Education and health services ...,..,

32.4

32.4

32.6

32.6

32.5

32.5

32.4

32.5

32.6

32.6

32.6

32,6

32.6

25.6

25.7

25.7

25.8

25.8

30.9

30.9

30.9

31.1

310

Gsods-Droducinci
Natural resources and mining....
Construction

.

................

.....

Manufacturinc!
...... ...
Overtime hours
...... .............................
Durable goods .....................................
Overtime hours
..........

Mondiirable floods
Overtime hours

...................................
.....

* .....

Trad© fransDortafSon. and utilities .....

. .......... .......................

.... ......»«...........................

(nffcirnation
Financial activities

....

4.5

Leisure and hosoitalitv

25.7

25.7

25.6

25.6

25.6

25.7

25.6

25.7

Otherservices

31.1

30.9

31.0

310

31.0

30.9

30.9

30.8

1
Qata relate to production workers in natural resources and mining and
manufacturing, construction workers in construction, and nonsupervteory
workers In the service-providing industries.
Includes motor vehicles, motor vehicle bodies and trailers, and motor
vehicle parts,
p
s preliminary.




4A

NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduded with the release of
January 2006 estimates, all seasonally adjusted data from January 2001
forward are subject to revision).

7!

ESTABLISHMENT DATA
HOURS
SEASONALLY ADJUSTED
B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major
industry sector and selected industry detail, seasonally adjusted
(2002=100)
2004

industry

2005

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

100.3

99.9

100.3

100.5

100.9

101.2

101.1

101.2

101.5

101.8

101.9

102.5

102,6

97.2

96.5

97.1

97.1

97.4

97.2

97.1

97.5

96.9

97.6

97.5

98 5

98.1

Natural resources and mining.

103.8

102.6

104,1

105.2

105.9

105.9

107.6

109.0

110.3

110,2

111.5

113.4

114.4

Construction

101.3

100.6

101.7

101.4

102.1

103.0

103.2

104.0

101.6

104.4

104.9

107.8

106.6

95.0

94.3

94.6

95.1

94.7

94.4

93.9

93.9

94.2

94.0

93.6

93.8

93.6

Durable goods
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products
Electrical equipment and appliances
Transportation equipment
Motor vehicles and parts*.
Furniture and related products
Miscellaneous manufacturing

95.7
102.0
97.7
93.9
98.1
96.3
90.2
90.2
97.1
97.6
95.6
92.6

95.2
100.8
97.1
94.4
97.7
96.2
89.9
89.0
95.7
96.2
94.6
91.7

95.3
101.2
98.3
94.0
98.5
96,8
91.7
89.1
94.6
94.4
94.0
92.2

95.9
101.7
98.6
93.8
98.7
97.5
91.2
89.9
96.9
97.6
93.8
91.7

95.5
100.6
99.2
93.3
98.8
97.5
91.0
89.0
96.3
96 6
93.6
91.3

95.5
101.0
99.1
93.3
98.8
97.2
90.3
88.5
96.1
96.1
93.2
91.1

94.8
100.0
98.2
93,0
98.4
96.6
88 9
88.1
95.6
95.3
93.1
90.9

95.3
101.1
98.3
92.6
98.4
96 5
89,7
87,5
96.4
96.4
93.6
90.9

95.2
101.7
97.1
93.0
98.6
96.8
91.1
87,5
95.8
95.0
93,2
91.0

95.2
99.9
97.3
93.1
98.2
96,8
90.9
87.4
96.8
96.2
92 3
91.1

94.8
98.8
95.9
92.7
98.3
97.3
91.4
87.1
95.8
94.3
92.1
90.5

95.1
98.4
96.2
92.0
98.7
98.2
93.1
86.7
95.9
93.6
91.0
90.2

94,9
97.9
95.7
91.6
98.7
98,0
93.5
86.5
95.8
92,9
90.4
89.4

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

93.9
98.4
87.9
80.3
93.4
76.5
85.6
91.1
94.2
103,0
99.3
95.3

93.2
97.8
88.1
80.4
91.3
74.9
85.4
88.9
94.4
104.3
98.6
95.2

93 5
98.0
88.7
80.4
91.6
74.3
85.2
90.7
94.2
105.1
99.3
94.9

93.5
97.6
89.5
80.0
91.9
75.1
84.2
90.9
93.8
108.0
99.6
94.6

93.2
97.4
89.7
78.8
92.7
74.6
84.4
90.0
93.1
108.6
99.5
94.2

92.6
96.6
88.1
78.1
92.8
72.4
86.4
89.7
93.2
106.3
99.3
93.8

92.3
97.0
90.5
77.3
93.3
70.8
87.7
89.5
93.3
107.8
98.0
92.4

92.0
967
91.0
76.2
92.1
70.9
85.0
89.2
93.5
104.7
97.8
92.8

92.3
96.8
91.8
76.3
93.7

920

83.4
90.7
93.5
104.9
97.9
93.1

97.4
91.0
74.8
93.7
69.5
83.2
89.9
92.8
106.2
96.6
93.1

91.4
96.4
92.2
74.7
94.1
68.1
83.2
89.8
92.1
106.6
96.4
92.7

91.4
96.4
92.7
74,0
93.3
67.1
83.5
90.1
92,5
109.6
96.6
92.0

91.1
96.5
92.4
74.7
93,8
64.8
84.6
90.3
92.4
110.2
95,9
91.8

101.1

100.7

101.5

101.6

102.1

102,1

102.0

102.5

102.8

103.0

103.2

103.8

103.5

99.7

98.6

99.3

99.6

100.1

100.2

100.2

100,4

100.8

101.1

100.9

101.2

1013

99.3

99.5

99.4

99.8

100.3

100.4

100,7

100.8

100.1

100.3

100.4

Total private
Goods-producing

Manufacturing

Private service-providing
Trade, transportation, and utilities
Wholesale trade

98.6

98.1

98.9

989

99.4

Retail trade

99.5

98.4

99.0

99.3

99 6

101.8

101.1

102.0

102.0

103.5

96.6

95.8

95.2

94.7

98.6

99.7

99.4

Financial activities

102.5

102.0

Professional and business services.

101.7

Education and health services

102.9

Transportation and warehousing .
Utilities
Information.,

....
.

Leisure and hospitality
Other services

99.3

99.9

99.7

100.4

103.9

104.2

103.8

105.2

104.9

104.9

105,8

105.3

96.0

94.5

93.8

94.7

96.0

94.8

94.3

96.0

96.0

100.0

99.9

100.3

100.0

101.3

101.2

101.6

102.3

103.0

103.2

102.2

102.1

102.4

103,2

103.1

103.6

104.4

104.4

104.6

105.0

105.0

101.3

102.3

102.8

104.5

103.9

103.7

103.9

103.9

104.1

104.4

105.3

105.0

103.1

103.9

103.9

103.9

104.3

104.1

104.7

105.3

105.3

105.5

105.7

105,9

103.0

103.7

103.6

104.2

104.1

104.9

104.8

105.8

105.6

96.8

96.5

96,7

96.6

97.1

97,3

97.4

98.3

98.0

102.9

103.1

102.8

102.9

96.8

96.5

96.6

96.9

1
Data relate to production workers in natural resources and mining and
manufacturing, construction workers in construction, and nonsupervisory
workers in the service-providing industries,
includes motor vehicles, motor vehicle bodies and trailers, and motor
vehicle parts.
p
= preliminary.
NOTE: The indexes of aggregate weekly hours are calculated by




MayP

dividing the current month's estimates of aggregate hours by the corresponding
2002 annual average levels. Aggregate hours estimates are the product of
estimates of average weekly hours and production or nonsupervisory worker
employment. Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduded with the release of January
2006 estimates, all seasonally adjusted data from January 2001 forward are
subject to revision.

72

ESTABLISHMENT DATA
ALL-EMPLOYEE HOURS
SEASONALLY ADJUSTED

B«10» Hours of wage and salary workers on nonfarm payrolls by major industry, quarterly, seasonally adjusted

Percent change (annual rate)

Millions of hours (annual rate)'
Industry

Total........................
Private sector...
Natural resources and mining
Construction..............................
Manufacturing............................
Durable goods.........................
Nondurable goods..
Trade, transportation, and utilities...
fnfonnation...............................
Financial activities..............
Professional and business services
Education and health services
Leisure and hospitality.................
Other services...........................
Government.................................

r

2004 \
to
2005 r

2004IV
to
2005 f

227,803

228,741

1.4

1.7

184,504

186,830

187,240

1.4

.9

1,817
13,418
28,058
17,606
10,452
42,593
5 620
13,645
27,363
27,216
16,392
8,473

1,857
13,712
27,802
17,499
10,302
42,772
5,632
13,870
28,328
27,837
16,663
8,307

1,895
13,747
27,750
17,476
10,274
42,755
5,564
14,040
28,296
28,028
16,748
8,418

4.3
2.5
-1.1
-.7
-1.7
.4
-1.0
2.9
3.4
3,0
2.2
-.6

8.3
1.0
-.7
-.5
-1.1
-.2
-4.7
5.0
-.5
2.8
2.3
2.4

40,989

40,973

41,501

1.2

5.3

2004
S

2004
IV

2005

225,583

1
Total hours at work for 1 week in the month, seasonally adjusted,
multiplied by 52.

r

«revised.

p

s preliminary.
NOTE; Data refer to hours of all employees—production workers,
nonsupervisory workers, and salaried workers—and are based largely on
establishment data. See BLS Handbook of Methods, 3LS Bulletin 2490,
chapter 10, 'Productivity Measures: Business Sector and Major
Subsectors." Beginning with the August 2004 issue of Employment and




73

Earnings, these hours measures are presented on a quarterly basis, and
incorporate both a shift from hours paid to hours at work and new
estimates of the hours worked by supervisory and nonproduction workers.
These changes are described in "Alternative measures of supervisory
employee hours and productivity growth* in the April 2004 issue of the
Monthly
Labor
Review,
available
on
the
internet
at
t tp://www.bls.c?ov/opub/mlr/2004/04/art2full.pdf
SOURCE: Office of Productivity and Technology (202-691-5606).
historical data for these series also are available on the Internet at the
following address: ftp://ftp.bls.gov/pub/speciai.requests/opt/tableb10.txt

ESTABLISHMENT DATA
EARNINGS
SEASONALLY ADJUSTED
B-11. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major
industry sector and selected industry detail, seasonally adjusted
2004

Industry
May

June

July

2005

Sept.

Oct.

Nov.

Dec.

Jan,

Feb.

Mar. Apr.**

MayP

Average hourly earnings
Total private (In current dollars).
Goods-producing

$15.62

$15.64

$15.70

$15.74

$15.77

$15.81

$15.82

$15.85

$15.90

$1S.91

$15.95

$16.00

$16.03

17.13

17.16

17.19

17.24

17.30

17.32

17.33

17.36

17.35

17.43

17.45

17.51

17,53

Natural resources and mining

18.02

18.16

18.08

18.05

18.06

18.10

18.22

18.37

18.43

18.40

18.27

18.55

18.60

Construction

19.19

19.19

19.21

19.25

19.27

19.34

19.31

19.29

19.24

19.31

19.34

19.38

19,37

Manufacturing
Excluding overtime2...
Durable goods
Nondurable goods

16.08
15.23
16.75
15.02

16.12
15.28
16.77
15.07

16.16
15.30
16.83
15.09

16.22
15.36
16.90
15.14

16.29
15.42
16.98
15.18

16.27
1S.42
16.97
15.15

16.29
15.43
16.99
15.16

16.34
15.48
17.06
15,16

16.37
15,51
17.10
15.18

16.42
15,54
17.18
15.19

16.43
15.56
17.17
15.23

16.46
15.61
17.22
15.23

16.52
15.67
17.26
15,31

15.21

15.24

15.30

15.34

15.36

15.40

15.42

15.45

15.51

15.51

15.56

15.60

15.63

14.54
17.60
12.04
16.51
25.51
21.43
17.47
17.40
16.09
8.87
13.95

14.59
17.66
12.07
16.54
25.48
21.28
17.49
17.43
16.15
8.86
13.97

14.63
17.71
12.10
16.58
25.60
21.42
17.55
17.48
16.24
8.89
13.98

14.65
17.69
12.13
16.65
25.66
21.52
17.57
17.59
16.24
8.91
14.00

14.66
17.73
12.16
16.53
25.82
21.62
17.64
17.54
16.28
8.95
14.05

14.69
117.78
12.16
16.61
26.00
21.59
17.71
17.63
16.31
8.99
14.08

14.70
17.80
12.20
16.54
25.77
21.58
17.65
17.66
16.34
9.02
14.12

14.72
17.87
12.21
16.54
26.11
21.70
17.71
17.69
16.37
9.01
14.13

14.82
17,91
12.32
16,58
26.23
21.80
17.71
17.79
16.40
9.03
14.15

14J9
17,95
12.29
16.52
26.04
21.67
17.74
17.80
16.45
9.05
14.17

14.83
17.97
12.31
16.62
26.32
21.79
17,78
17.82
16.53
9.05
14.18

14.88
18.04
12.36
16.62
26,41
21.98
17.86
17.89
16.54
9.08
14.15

14.89
18.02
12 38
16.65
26.41
22,00
17.79
17.95
16.60
9.09
14.21

8.21
9.00
7.99

8.20
8.99
7.99

8.23
9.01
8.02

8.25
9.04
8.04

8.25
9.05
8.04

8.22
9.01
8.01

8.21
8.99
8.00

8.23
9.01
8.02

8.24
8.99
8.04

8.22
9.00
8.01

8.19
8.96
7.99

8.16
8.93
7.96

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
Total private (in constant (1982) dollars)3...
Goods-producing
Private service-providing

Average weekly earnings
Total private (in current dollars).

$527.96 $525.50 $529.09 $530.44 $533.03 $534.38 $533.13 $534.15 $535.83 $536.17 $537.52 $540.80 $541.81

Goods-producing

688.63 684.68 689.32 689.60 693.73 691.07

691.47 694.40 690,53 695.46 694.51

Natural resources and mining .

796.48 797.22 799.14 801.42 803.67 810.88

819.90

834.00 838.57 829.84 827.63 847.74

853.74

Construction .

734.98 729.22 735.74 733.43 738,04 738.79 739.57 740.74 723.42 737.64 740.72 755.82

745.75

Manufacturing
Durable goods
Nondurable goods.

659.28
695.13
605.31
492.80

662.19 659.75 661,77
663.77 666.63
699.16 694.89 701.17 702.81 704.38 700.54 704.30
604.49 603.37 603.37 607.20 607.60 604.63 606.15
498.96 498.07 500.58 502.52 502.52 504.14 507,00

667.41
704.21
607.81
506.41

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
Total private (in constant (1982) dollars)3.....
Goods-producing
Private service-providing

656.08
690.92
604.31
490.73

659.33
695.08
605.11
495.72

663.40
697.97
608.63
497.02

488.54 484.39 488.64 490.78
665.28 664.02 669.44 666.91
370.83 366.93 370.26 372.39
615.82 610.33 616.78 619.38
1,053.56 1,047.23 1,047.04 1,049.49
777.91 776.72 777.55 783.33
625.43 620.90 624.78 623.74
595.08 592.62 597.82 603.34
521.32 523.26 529.42 527.80
227.96 227.70 227.58 228.10
433.85 431.67 433.38 434.00
277.44 275.42 277.45 278.01
361.87 358.85 361.47 361.43
258.96 257.20 259.95 260.49

699.45

492.58 493.58 492.45 494,59 497.95 496.94 496.81 498.48 498.82
670,19 670.31 671.06 671.91 675.21 678.51 677.47 681.91 679.35
374.53 374.53 373.32 376,07 378.22 378.53 377,92 379.45 380.07
619.88 622.88 620.25 618.60 621.75 616.20 618.26 619.93 817.72
1.068.95 1,060.80 1,041.11 1,062.68 1,075.43 1,054,62 1,060.70 1,082.81 1,082,81
784.81 783.72 781.20 789.88 791.34 788.79 795.34 802.27 805.20
626.22 632.25 628.34 632.25 635.79 635.09 638.30 642.96 640.44
608.64 604.71 603.97 605.00 606.64 605.20 605.88 611.84 612.10
529.10 530.08 529.42 532.03 534.64 536.27 538.88 539.20 54116
229.12 231.04 230.91 231.56 231.17 232.59 232.59 234.26 234.52
435,55 435.07 436.31 435.20 437.24 437.85 438.16 440,07 440.51
278.93
363.02
261.22

277.89 276.52 277.19 277.78 276.95 276.08 275 92
359.37 358.65 360.35 357.97 359.23 356.71 358.24
259.47 258.34 259.77 280.51 259.57 258,93 258,67
4

1
Data relate to production workers in natural resources and mining and
manufacturing, construction wooers in construction, and nonsupervisory
workers in the service-providing industries.
2
Derived by asssuming that overtime hours are paid at the rate of time
and one-half.
^ T h e Consumer Price Index for Urban Wage Earners and Clerical Wbrkers
(CPI-W) is used to deflate these series.




664.63
699.58
608.72
499.20

702.15

Data not available.
=l>reliminai7
NOTE: Data are currently projected from March 2004 benchmark levels
When more recent benchmark data are introduced with the release of
January 2006 estimates, all seasonally adjusted data from January 2001
forward are subject to revision,,
p

74

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on rtonfarm payrolls by detailed industry
(In thousands)
Production workers 1

All employees
2002
NAICS
code

Industry

2004

May
2004

Mar.
2005

Apr.
2005 P

May
2005 P

111,936

88,136

89,069

89,368

90,440

91,082

21,940

22,221

15,570

15,864

15,616

15,896

16,141

604

613

624

423

440

451

459

467

66.5

64.5

58.7

621

50.9

53.7

53.2

47.1

513.8

524.3

1139.6

554.3

561.6

377.5

386.7

398.2

412.0

122.0

123.9

•122.8

123.7

124.8

69.4

70,7

68.1

69.9

212
Mining except oil and gas..... ,
Coal mining ,...
........... 2121
Bituminous coal and lignite surface
mining
............ 212111
Bituminous coat underground
212112,3
mining and anthracite mining.,..
2122
Metal ore mining .
Nonmetaiiic mineral mining and
2123
. quarrying..................
Stone minina and ouarrvino.
........... 21231
Crushed and broken limestone
212312
mining..,.
................
Other stone mining and quarrying ...... 212311,3,9
Sand, gravel, day, and refractory
21232
mining
.
Construction sand BM gravel
212321
mining . ..... ......................................
21239
Other nonmetaJlic mineral mining

202.9
69.4

209.1
71.1

1209.1
75.6

216.6
76.3

221.8
76.3

158.7
57.7

164.0
59.6

163.3
62,4

169.7
62.6

32.6

33.7

35,6

35.9

25.8

27.1

29.2

29.2

36.8
26.9

37.4
27.1

40.0
23.6

40.4
28.9

319
19.8

32.5
20.1

33.2
215

33.4
218

106.6
49,0

110.9
51,8

104.9
49.6

111.4
52.3

812
37.9

34.3
39.4

79.4
37,9

85,3
40.3

26.7
22.3

27.6
24.2

26.1
23.5

27,8
24.7

20.8
17.1

216
17,8

20 8
17.3

218
18.5

43.4

45.0

41.4

44.8

33,1

34.8

313

34.5

31.8
14.2

33.1
14.1

29.6
13.9

32.5
14.3

24.2
10.2

25.7
10.1

22.4
10.2

25,4
10.5

SooDort activities for mi nines
............ 213
Support activities for oil and gas
operations . ... ................................. 213112

188.9

191.3

207.7

214.0

215.0

149.4

152.0

166.8

172.4

Total nonfum...........
Totai private.................
Goods-producing,

.........

Mgturai resources 3nd mining.. ......
1133

Loaoino . .
Mining ..................................................
Oil and csas extraction

.........

21

. ............ 211

Construction.

Apr.
2005 P

2004

May
2004

131,150

132,068

132,196

133,374

134,081

109,143

110,081

110,058

111,227

21,823

21,939

21,654

578

591

63.9

Mar.
2005

May
2005 P

-

—

I
_

125.2

127.2

139,2

142.2

94.7

97.1

108.1

109.7

6,775

7,005

6,803

7,075

7,296

5,118

5,334

5,135

5,390

1,575,0
859.8

1624.0
888.4

1,634.9
906.0

1,660.9
919.6

1,697.9
945.5

1,0510
562.0

1,099.6
594.2

1,086.2
591.1

1,108.6
601.8

—

350.9

373,0

369.9

374.7

_
—

752.4

174.5
489.0
119.9
369.1

184.5
505,4
125.4
330.0

183.5
495,1
126.1
369.0

187.8
506.8
126.9
379.9

—
—
—

680.4
298.4
147.6
56.3

723,6
303.2
150.2
58.6

623.2
2911
140.2
54.6

690.2
302.5
146.1
56.8

-

5,583
—
—

Construction of buildinas
Residential building ..................................
New single-family general
contractors....
New multifamily genera! contractors „.Residential remodelers
.. . . .
Nonresidentiaibuilding... ..... ...............
Industrial building ................................
Commercial buildino.... . . . . .

236
2361
236115
236116
236118
2362
23621
23622

542.2
28.9
256.8
715.2
164.1
551.1

560.5
28.8
266.7
735.6
171.0
564.6

576.1
31.1
264.7
728,9
169.3
559.6

581.3
33,0
270.7
741.3
170.4
570.9

Heavy and civil engineering construction ...
Utility system constructiori
Water and sewer system construction.
Oil and gas pipeline construction
Power and communication system
construction.......................................
Land subdivision. . ...........................
Highway, street, and bridge
construction...
Other heavy construction

237
2371
23711
23712

878.9
362.8
185.2
65.1

926.8
368.7
188.3
67.4

826.7
356.3
174.8
65.6

895.3
367.0
181.9
65.6

23713
2372

112.5
84.1

113.0
86.0

115.9
87.6

119.5
83 2

94.5
38.2

94.4
38.7

96.3
34.6

99.6
34.8

—

2373
2379

335.1
96.9

371.8
100.3

288.5
94.3

339.2
101.4

269,6
74.2

303.6
78.1

225.7
718

274.8
78.1

„
—

Rn&cA&itsf tradB contractors

238

4,321.1

4,454.6

4,341.1

4,518.7

4,644.0

3,387.0

3,510.7

3,425.3

3,590.8

2,065.0

2,102,6

2,059.3

2,143.0

2,212.2

2,266.1

2,352.0

2,281.7

2,375.7

2,431.8

985.4

1,013.3

990.8

1,047.8

536.4

543.8

534.5

558.7

449.0
214.0

469.5
221.8 |

456.2
227.3

80.3
147.4

83.0
149.1

79.7
151.6

Residential specialty trade contractors ... part 238
Nonresidentia! specialty trade
part 238
contractors..
Building foundation and exterior
contractors......,................—
.... 2381
Residential building foundation and
part 2381
exterior contractors
Nonresideotial specialty trade
part 2381
Poured concrete structure contractors . 23811
Steel and precast concrete
contractors. ....................................... 23812
23813
Framina contractors
See footnotes at end of fable.




75

953.8

-

817.2

845.5

825.4

8817

-

-.

-

-

489.1
247.2

183.1

189.0

192.2

210.4

80.2
157.4

65.8
132,9

68.5
135.2

66.3
137.9

67.1
144.3

-

—

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—-Continued
(In thousands)

industry

code

Construction-Continued
Masonry contractors
Glass and glazing contractors
Roofing contractors
.
Siding contractors
Other building exterior contractors.
Building equipment contractors
Residential building equipment
contractors
.
Nonresidential building equipment
contractors,
,
Electrical contractors
Plumbing and HVAC contractors
Other building equipment contractors..
Building finishing contractors
Residential building finishing
contractors
Nonresidential building finishing
contractors....
Drywall and insulation contractors
Painting and wall covering contractors
Flooring contractors
Tile and terrazzo contractors
Finish carpentry contractors
Other building finishing contractors
Other specialty trade contractors
Other residential trade contractors .....
Other nonresidential trade contractors
Site preparation contractors
.
All other specialty trade contractors ....

23814
23815
23816
23817
23819
2382

Primary metals
Iron and steel mills and ferroalloy
production

227.2
52.9
180.6

May
2004

235.8
54.6

1,827.7

186.1
407
42.2
1,8557

part 2382

740.9

752.4

762.9

773.9

part 2382
23821
23822
23829
2383

1,086.8
837.8
883.4
106.5
898.3

1,103.3
850.4
896.4
108.9
9257

1,095.3
851.1
895.6
111.5
911.0

1,107.0
8567
910.6
113.6
933.2

part 2383

520.4

531.6

522.2

53S.9

part 2383
23831
23832
23833
23834
23835
23839
2389
part 2389
part 2389
23891
23899

377.9

394.1
337.0
228.0
82.5
62.6
150.6
65.0

368.8
332.2
208.5
159.4

399.3
340.0
2197
810
67.1
1627

64.9

677

659.9

581.1

2397

651.8
271.5
380.3

312.6

274.8
385.1
334.3

297.1

325.6

276.3

318.9

14,270

14,343

14,247

14,252

42.6
40.4

331.6
211.1
79.8
63.3
148.6

63.9
6097
257.3
352.4

79.4
66.6

341.4
304.8

Apr.
2004

May
2004

200.4
34.5
139.6

209.1

Mar,
2005

Apr.
2005 •>

1457

218.1
34.9
145.4

1,383.1

1,405,5

1,425.4

1,445 7

642.5
659.8

6513

655.5
684.8
85.1

6597

6718
82.4

733.6

726,0

87.2
750,6

280.2
172.6
52.8
49.3
103.3
48.5
480.0

286.5
189.6
54.6
49.6
526.1

286.2
1687
54,0
52.3
115.9
47.9
448.5

293.8
180.1
54.8
52.6
1177
516
512.8

24S.2
2318

2687
257.4

2377
210.8

262.2
250.6

14,301

10,024

10,090

10,030

10,047

8,970

6,110

6,147

6,160

6,187

6,205

550.1

434.8
99.5

443.0
100.0

4411
99.9

442.6
99.2

442,5

80.8
7067

332.9

105.4
47.9

8,893
540.1
117.6

8,932
549.0
1177

8,927
546.9
1157

8,944
546.6
114.9

3212

115.8

1197

116.6

119.5

94.3

96.8

93.5

97.0

321211,2

43.9

43.9

43.7

44.0

377

37.9

37.5

37.9

321213,4
3219
32191
321911

53.1
3067
153.1
737

55.8
311,6
155.1
747

53.6
314.6
157.5
76.0

55.3
312.2
157.4
77.0

40.4
2410
1177
56.4

417
246.2
120.5

57.6

39.1
2477
122.8
59.1

410
246.4
123.3
60.1

321912.8
32192
32199
321991
327
3271

79.4
56.0
97.6
42.8
499.2
64.4

80.4
59.1
97.4
43.6

81.5
62.3
94.8
46.5

80 4
62.6
92.2
46.3

613
48.2
75.1
35.6

62.9
50.6
75.1
36.4

637
512
737
39.1

63.2
516
715
387

510.0
65.2

489.0
65.8

502 8
65.1

3817
49 3

392.7
50.5

374.0
525

383.9
52.0

32711
32712
3272

29.9
34.5
112.5

30.0
35.2
112.3

29.3
36.5

23 9
36.2

107.1

107.6

23 8
25,5
877

24.3
26.2
87.4

24.2
28.3
816

237
28.3
819

327211,2
327213

38.2
19,3

37.8
19.6

36.4
17.3

36.4
177

29 0

28.6

26.6

26.2

327215
3273
32732
32731,3,9

55.0
232.3
121.3
111.0

54.9
2407
127.3
113.4

53.4
2277
115.6
112.1

53.5
240.0
124.8
115.2

419

39.6
175.4
94.0

79.6

417
185.3
103.2
82.1

40.1
186.3
103.1
83.2

68.1
3612

69.5
363.3

363.1

637
362.0

73,3

72.9

73.4

73.3

90.0

91.8

331

463.8

465.4

88.4
466.2

90.1
465.6

3311

94.8

94.0

95.4

95.6

3274,9

76

May
2005 P

199.3
34.4
136.1

36.0

321
3211

See footnotes at end of table.




May
2005

Mar.
2005

244.3
527
184.0
38.3
437
1,880.9

Durable goods

Cement and concrete products
Ready-mix concrete
Other cement and concrete products.
Lime, gypsum, and other nonmetallic
mineral products

2004

226.0
52.1
173.3
377
43.1
1,858.2

Manufacturing
VNfood products
Sawmills and wood preservation
Plywood and engineered wood
products
Hardwood and softwood veneer and
plywood
,
Engineered wood members and
trusses
»
Other wood products
Millwork
Wood windows and doors
Cut stock, resawing lumber, planing,
and other millwork, including flooring.
Wood containers and pallets
All other wood products
Manufactured and mobile homes
Nonmetallic mineral products
Clay products and refractories
Pottery, ceramics, and plumbing
fixtures
*
Clay building material and refractories.
Glass and glass products
Rat glass and other pressed and
blown glass and glassware
Glass containers
Glass products made of purchased

Production workers1

All employees

2002
NAICS

504.1

176.6
97.0

466.4

814
64.5

10,091

386 0

362.0

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED

EMI 2. Employees on nonfarm payrolls by detailed industry-— Continued
(In thousands)
Production workers1

Alt employees
Industry

Durable goods-Continued
Steel products from purchased steel.......
Iron, steel pipe, and tube from
purchase steel.....
Roiling and drawing of purchased
steel
............................
........
Rolled steel shapes .. .... .. ..
Alumina and aluminum production ...........
Other nonferrous metal production ..........
Rolled, drawn, extruded, and alloyed
copper
....
Nonferrous metal, except CU and A t ,
shaping
.............................................
Foundries
...................................
Ferrous metal foundries ... ................
Iron foundries
Steel foundries
....................
Nonferrous metal foundries

2002
NAICS
code

Apr.
2004

May
2004

Mar.
2005

2uO5P

May
2005P

Apr.
2004

May
2004

Mar
2005

Apr.
2005P

May
2005 P

-

3312

60.4

60.5

58.9

58.9

47.0

47.2

46.4

45.9

33121

27.0

26.8

25.9

25.7

21.2

21.1

20.9

20.5

33122
331221
3313
3314

33.4
24.1
73.0
71.4

33.7
24.2
73,3
72.0

33.0
24.6
71.0
71.5

33,2
24.1
71.2
71.6

25.8

26.1

25.5

25.4

56.8
53.2

57.2
53.6

55.8
52.7

56.0
52.9

33142

38.8

39.2

38.1

38.0

30.5

310

30.4

30.4

22.4
164.2
89.9
59.7
30.2
74.3

22.4
165.6
90.6
60.2
30.4
75.0

22.4
169.4
93.8
61.4
32.4
75.6

22.4
168.3
93.6
60.9
32.7
74.7

16.3
130.9
72.4
48.4
24.0
58.5

16.2
132.4
73.3
49.0
24.3
59.1

15.6
135.0
75.9
50.3
25.0
59.1

15.5
133.9
75.4
49.8
25,6
58.5

1,487.3
332
Fabricated metal oroducts
109.7
3321
Fonaina and stamoinG
24.6
332111
Iron and steel forging . , . ... ,
58.3
Meta\ stamoino ....„.„. ........................ 332116
58.8
3322
Cutlery and hand tools
38.0
Hand and edge tools
332212
385.6
3323
Architectural and structural metals
Plate work and fabricated structural
163.8
33231
products
Prefabricated metal buildings and
31.8
332311
components.
66.6
Fabricated structural metal products .. 332312
45.4
332313
Plate work
Ornamental and architectural metal
221.8
products
.. .
... , ..... 33232
83.3
Metal windows and doors
332321
332322
101.1
Sheet metal work
Ornamental and architectural metal
37,4
work
.............................».............*.... 332323
92.2
Boilers, tanks, and shipping containers ... 3324
38.2
3325
Hardware
61.9
3326
Spring and wire products
322.1
Machine shops and threaded products .... 3327
236.8
33271
Machine shops.. .
Turned products and screws, nuts,
85.3
33272
and bolts
42.8
332721
Precision turned products
Bolts, nuts, screws, rivets, and
42.5
washers
.. ... .. ................... 332722
Coating, engraving, and heat treating
142.0
metals
........... 3328
Metal heat treating and coating and
68.0
332811,2
nonprecious engraving
Electroplating, anodizing, and
74.0
coloring metals......
...,. .......... 332813
276.8
3329
Other fabricated metal products
33291
97.2
Metal valves
36.3
Fluid power valves and hose fittings.. 332912
15.5
Plumbing fixture fittings and trims
332913
Industrial valves and other metal
45.4
332911,9
valves and pipe fittings
179.6
33299
All other fabricated metal products
33.4
Ball and roller bearings ....................... 332991
Small arms, ammunition, and other
39.9
ordnance and accessories.................. 332992,3,4,5
Miscellaneous fabricated metal
332996,7,8,9
106,3
products,.,,,..

1,495.3
109.8
24.5
58.5
59.2
38.2
389.3

1,1112.7
111.3
26.3
57.4
57.3
37.2
392.3

1,515.0
111.3
26.2
57.5
57.0
37.1
393.5

1,102.2
83.5
18.2
44.5
44.0
29.3
277.1

1,109.1
83.7
18.2
44.9
44.1
29.3
279.8

1123.7
85.7
19.8
44.8
40.8
27.3
2839

1,126.6
86.1
20.0
44.7
40.8
27.3
284.0

166.9

170.2

171.5

117,3

119.4

122.0

122.7

33.0
87.2
46.7

32.1
87.7
50.4

31.7
89.2
50.6

19.4
63.0
34.9

20.3
63.5
35.6

19.9
63.0
39.1

19.5
64.1
39.1

—

222.4
84.0
101.1

222.1
82.8
102.1

222.0
83.9
101.4

159.8
57.3
76.8

160.4
57.8
76.7

1619
573
78.1

1613
58.4
77.4

—

37.3
93.1
38.4
81.9
324.6
238.8

37,2
917
36.6
60.9
337.7
250.8

36.7
91.2
36.4
60.7
341.4
254.3

257
74.0
28.6
48.1
243.8
177.7

25,9
74.7
28.9
48.0
246.3
179.4

26.5
73.6
28.0
45.8
256.5
189.6

25.5
72.6
27.9
45.9
260.0
192.7

85.8
43.3

86.9
44.0

87.1
44.6

86.1
34.3

66.9
34.9

66.9
34.6

67.3
35.2

42.5

42.9

42.5

31.8

32.0

32.3

32.1

142.9

141.9

140.3

112.8

113.9

113.2

112.6

68.8

67.2

66.3

51.6

52.3

52,0

518

74.1
276.1
97.0
36.3
15,4

74.7
283.0
95.9
38.1
15.2

74.0
283.2
95.2
37.7
15.2

612
190.3
66.4
25.7

616
189.7
66.2
25.8

61.2
196.2
66.6
27.7

60.8
196.7
66.1
27.4

45.3
179,1
33.4

42.6
187.1
32.9

42.3
188.0
32.9

29.4
123.9
25.8

29.2
123.5
25.9

27.4
129.6
25.0

27.2
130.6
25.0

40.0

39.3

39.5

21.5

216

21.1

210

105.7

114.9

115.6

1,139.9

1,141.5

1,152.6

1,155.4

194,5

194.1

203.6

206.3

Machinerv
Agricultural, construction, and mining
machinery,

33149
3315
33151
331511
331512,3
33152

333
3331

See footnotes at end of table.




77

-

—
—
—

1,522.1

—

—

—

-

—

—
—
1,130.1
—
—

mm

-

mm

-

1,158.2

76.6

76.0

83.5

84.6

726.4

727.7

739.1

743.5

126.7

125.6

130.3

132.5

—

745 5

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY AaiUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)

Industry

Durable goods-Continued
Agricultural implements
Farm machinery and equipment
Construction machinery
Mining and oil and gas field
machinery
Industrial machinery
Commercial and service industry
machinery
Office machinery
Photographic and photocopying
equipment,,
..
Miscellaneous commercial and
service industry machinery,....
HVAC and commercial refrigeration
equipment
AC, refrigeration, and forced air
Metalworking machinery
,
Industrial molds
Metal cutting and forming machine
tools
Special tools, dies, jigs, and fixtures.
Miscellaneous metalworking
machinery
,
Turbine and power transmission
equipment
„
Turbine and turbine generator set
units
Power transmission and
miscellaneous engine equipment
Other general purpose machinery
Pumps and compressors
Air and gas compressors
Pumps and pumping equipment,
including measuring and dispensing.
Material handling equipment
Conveyor and conveying equipment
All other genera! purpose machinery...
Computer and electronic products
Computer and peripheral equipment
Electronic computers
..,..
Computer storage devices
Computer terminals and other
computer peripheral equipment
Communications equipment
Telephone apparatus
Broadcast and wireless
communications equipment
Audio and video equipment
Semiconductors and electronic
components
Electron tubes
„
Bare printed circuit boards
Semiconductors and related devices
Electronic capacitors
Printed circuit assemblies..,
Electronic connectors and misc.
electronic components.......
Electronic instruments
Etectromedical apparatus
Search, detection, and navigation
instruments
Automatic environmental controls
Industrial process variable
instruments
Electricity and signal testing
instruments

2002
NAICS
code

Apr.
2004

May
2004

Mar.
2005

May
20051

2004

May
2004

Mar,
2005

2005*

33311
333111
33312

80.3
57.4
61.4

79.8
57.4
61.6

81.6
60.0
65.7

82.4
60.5
67.4

57.6
40.4
36.4

57.0
40.5
36.7

58.1
42.2
38.6

59.2
42.9
40,1

33313
3332

52.8
120.1

52.7
118.8

56.3
117.1

56.5
118.4

65.8

64.5

64.5

65.0

3333
333313

115.5
11.6

115.5
11.0

112.9
9.9

111.7
9.9

7Q.Q

69.9

67.8

67.7

333315

16.1

16.1

15.2

15.0

11.6

11.7

10.6

10.5

333311,2,4,9

87.8

88.4

87.8

86.8

52.7

52.9

52.8

52.6

3334

151.7

153.8

152.7

153.6

102.7

104.9

103.4

104.2

333415
3335
333511

104.7
200.9
43.1

106.9
201.9
43.1

101.5
201.4
43.9

101.4
202.1
43.8

715
137.5
314

73.5
138.8
314

68.6
1415
33.0

68.8
142.6
33.2

333512,3
333514

39.4
78.0

39.0
79.1

38.8
77.7

39.2
77.9

23.9
57.9

23.5
59.3

24.3
584

24.8
58.7

333515,6,8

40.4

40.7

41.0

412

24.3

24.6

25 8

25.9

3336

92.4

92.3

94.3

944

63 0

63.2

625

62.4

333611

17.7

17.9

18.3

18.5

74.7
264.8

74.4
265.1
510
20.7

76.0
270.6
50.1
20.2

75.9
268.9

52.6
160.7
27.5

52.6
160.8
27.0

517
169.1
27.0

516
169.1

30.3
73.3
29.3
140.8

29.9

29.0
77.2
29 5

16.6
47.0
17*3
86.2

16.1
46.7
17.2
87.1

16.0
52.3
17.9
89.8

15.6
52.7
17.4
89.8

1,329.3
213.1

646.0
84.6

654.9
87.0

682.2
111.4

688.8
115.3

153.4

62.0

62.3

65.1

65.3

31.1
17.0

311
17.0

32.5
16.3

32.5
16.4

259.9

263.0

254.3

253.5

418
110.4

416
112.7

35.7
109.3

34.7
109 2

34.3

34.6

34.6

35,2

59.5
186.9

60.2
190.0

615
200.9

25.6

26.7

28.2

613
203.5
27.9

333612,3,8
3339
33391
333912
333911,3
33392
333922
33399

51.8
20.7
31.1
73.2

29.4
1398
1,319.1
212.8
114.9
30 3

1,326.7

67.6

77.1
30.1
143.4

48.9
19.9

142.8

213.9
115.5
30.5

1,324.8
2121
115.3

148.2
46 6

67.9
149.0
47.1

65.0
153.2
44.1

65.9
153.5
43.1

33422
3343

75.2
32.2

75.4
32.0

76.3
30.7

76.9
30.6

3344
334411
334412
334413
334414
334418

450.1
10.4
62 9

453.3
10.4
63.2
222.6

445.1
11.3
56.1

8.9
50 5

445.5
11.1
57.1
223.0
8.5
49.8

334415,6,7,9
3345
33451

96.6
427.6
53.0

97.7
430.7
54.0

96.0
435.4
54.5

95.0
435.5
53.9

334511
334512

148.1
28.7

148.9
29 4

151.3
27.8

152.1
27.7

43.8

44.7

48.9

50.9

334513

58.7

58.7

62.7

62.3

30.9

30.7

34.8

35.1

334515

45.5

45.3

45.5

45.3

17.4

17.5

19.9

19.8

334113,9
3342
33421

220.6
89
50.7

78

30.9

445.6

223.6
8.6
50.5
438.6

May
2005 P

26.6

1,323.3
211.2
115.6
30.6

334
3341
334111
334112

See footnotes at end of table.




Production workers1

All employees

893 9

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12« Employees on nonfarm payrolls by detailed industry—Continued
(So thousands)
Production workers1

All employees
Industry

2002
NAICS
code

Durable goods-Continued
334517
irradiation aooaratus
Miscellaneous electronic
334514,8,8,9
Instruments.,..
..
Magnetic media manufacturing and
reproduction,
................................. 3346
Electrical equipment and appliances .........
Electric lighting equipment..... ..
Electric lamp bulbs and parts
Lighting fixtures
Household appliances..............................
Small electrical appliances
Electric housewares and household
fens.......................................................
Major appliances........
Household refrigerators and home
freezers............................
Electrical equipment
..............
Electric power and specialty
Motors and Generators . . . . . ........
Switchgear and switchboard
apparatus
Relays and industrial controls
Other electrical equipment and
components...,.. ....................................
Batteries
Communication and energy wires and
cables
..
..
Wiring devices
. .... ......................
Current-carrying wiring devices
All other electrical equipment and
components
.......

2004

May
2004

Apr.
2005 P

11.0

11.3

11.4

11.4

82.6

83.1

82,2

82.3

48.2

47.8

47.3

48.0

445.7
64.5
14.3
50.2
91.0
19.7

444.9
64.9
14.3
50.6
88.9
19.3

443.8
64.6
13.9
50.7
89.1
18.9

442.2
64.8
13.7
511
87.6
18.5

335211
33522

13.2
71.3

13.3
69.6

12.9
70.2

12.8
69.1

335222
3353

23.5
153.5

23.4
153.1

22.3
150.2

213
150,3

335311
335312

25.1
515

24.9
51.6

24.9
49.3

25.1
48.8

335313
335314

33.2
43.7

33.3
43.3

32.3
43.7

32.3
44.1

3359
33591

136.7
28.1

138.0
28.1

139.9
26.5

139.5
26.5

33592
33593
335931

21,2
54.3
417

21.6
55.1
42.5

22.1
57.4
44.5

22.1
57.0
44.5

335
3351
33511
33612
3352
33521

33590

Transportation equipment........................... 336
3361,2,3
Motor vehicles and psds
Motor vehicles
................................... 3361
33611
Automobiles and light trucks
Automobiles ...................................... 336111
336112
Light trucks and utility vehicles
Heavy duty trucks ......... .. ........... 33612
Motor vehicle bodies and trailers............. 3362
336211
Motor vehicle bodies
Truck trailers
.... 336212
336214
Travel trailers and campers
3363
Motor vehicle parts
Motor vehicle gasoline engine and
33631
parts..........
Carburetors, pistons, rings, and
336311
valves.
Gasoline engine and engine parts .... 336312
33632
Motor vehicle electric equipment
Vehicular lighting equipment.............. 336321
Other motor vehicle electric
equipment .. .......................... ...... 336322
Motor vehicle steering and
susponaion ports.................................... 33633
33634
Motor vehicle brake systems
Motor vehide power train components. 33635
Motor vehicle seating and interior trim . 33636
33637
Motor vehicle metal stamolno . ,
Other motor vehicle oarts .. .. . . ..... 33639
AW other motor vehide parts . .... 336399
Aerosoace products BT\& ousts
. . . . 3364
336411
Aircraft .
Aircraft engines and engine parts...... 336412
Other aircraft parts an4 equipment... 336413
Guided missiles, space vehicles,
and ports.............................................. 336414,5,9

May
2005 P

-

443.4

Apr.
2004

May
2004

Mar.
2005

Apr.
2005 P

3.3

3.5

3.5

3.6

44.5

45.1

45 6

46,1

306.5
44.8
11.0
33.8
73.6

305.1
45.2
11.1
34.1
715

306.5
44.3
10.6
33.7
73.0

304.4
43.4
10.5
329
715

May
2005 P

304.9
—
—

-

"_

I
—
—

93.3

92.9

36.4

I

915

92.1

36.4

35.3

35.2

20.9
212

210
20.9

20.4
210

20.5
212

94.8

95.5
—

97.7

97.4

38.8
29.5

39.3
29.9

419
319

419
32.0

—

I
mm

33.1

33.2

33.9

33.9

19.8

19.9

20.6

20.4

1,786.6

1,766.4

1,778.2

1779.4

1,785.3

1,268.5

1,268.6

1,271.6

1278.3

1,285.6

1,117.2
259.0
226.2
150.5
75.7
32.8
164.4
63.8
33.3
45.9
693.8

1118.0
257.1
223.5
147.5
76,0
33.6
166.4
64.7
• 34.3
46.0
694.5

t ,104.7
257.0
220.6
143.1
77,5
36.4
168.4
69.6
36.1
40.9
679.3

1,099.9
255.2
218.8
140.3
78.5
36.4
168.2
69.8
36.9
40.3
676.5

11027

907.7
2110
184.5
117.7
66.8
26.5
132.2
50.3
25.9
38.8
564.5

908.8
208.9
1816
114.3
67.3
27.3
134.0
51.1
26.3
39.2
565.9

899.8
206.2
176.6
108.5
68.1
29.6
139.9
58.7
28.5
34.8
553.7

897,5
205.1
175.4
106.2
69.2
29.7
139.7
59.1
29.3
33.8
552.7

900.3

79.3

79,3

75.6

74.0

63.1

63.4

615

60.1

16.4
62.9
1014
16.8

16.5
62.8
102.2
16.9

16.1
59.5
97.5
16.7

16.2
57.8
98.7
17,2

50.8
84.3

50.9
85.3

49.0
814

47,6
82.3

B4S

85.3

80.8

815

713

72.2

68.7

69.3

42.6
45.7
85.9
67.9
100.0
1710
158.3
438.9
207.5
78.6
82.7

42.8
45.9
85.7
67.8
99.3
171.5
158.8
438.9
207.5
78.1
83.2

42.1
46.0
84.1
87.5
97.3
169.2
157.2
455.5
215.6
813
89.1

42.3
45.1
83,6
66.8
96.8
169.2
157.2
457.9
216.6
817
88.4

35.5

36.0

36.8

37.3

70.9
53.3
816
140.2
130.0
198.3
90.7
43.2
51.1

70.8
52.9
812
140.4
130.2
198.2
90.4
43.0

69.3
518
80.3
135,1
125.2
204.6
90.8
45.4
67.5

69.3
512
80.2
135.1
125.1
210.1
93.0
45.5
57.1

70,1

70.1

69.5

712

See footnotes at end of table.




Mar.
2 DOS

79

-

-

—

517

»_
-

—

—
mm

mm

—

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
2002
NAICS
code

industry

Durable goods-Continued
Railroad rolling stock
Ship and boat building
Ship building and repairing,..
Boatbuilding
Other transportation equipment.
Furniture and related products
Household and institutional furniture
Wood kitchen cabinets and

countertops
Other household and institutional
furniture
Upholstered household furniture
NonuphoJstered wood household
furniture
.....
Miscellaneous household and
institutional furniture
Office furniture and fixtures
Wood office furniture and custom
architectural woodwork and millwork.
Office furniture, except wood
Showcases, partitions, shelving,
and lockers
Other furniture-related products
Miscellaneous manufacturing
Medical equipment and supplies
.
Surgical and medical instruments .....
Surgical appliances and supplies
Dental laboratories
Other miscellaneous manufacturing........
Jewelry and silverware
Sporting and athletic goods
Dolls, toys, and games
Office supplies, except paper
Signs..
All other miscellaneous manufacturing

23.8
147.8
91.8
56.0
37.9

24.8
153.5
96.4
57.1
39.7

25.2
156.6
98.2
58.4
39.8

575.9
388.0

576.4
387.9

565.7
379.1

563.0
378.2

33711

159.0

159.9

164.1

33712
337121

229.0
89.4

228.0
88.7

337122

90.8

337124,5,7,9
3372
337211,2
337214
337215
3379
339
3391
339112
339113
339116

2uO4

May
2004

Mar.
2005

2005

117.9
71.8
46.1

117.4
71.4
46.0

121.7
74.3
47.4

124,4
75.6
48.8

446.9
312.6

446.4
311.9

433.8
302.7

4317
3013

164.8

125.6

125.9

129.1

130.0

215.0
86.6

213.4
66.5

187.0
75.5

186.0
74.9

173.6
71,9

1713
717

89.1

80.8

80.5

75.2

73.9

66 2

65.0

48.8
134.9

50.2
135.6

47.6
136.0

46.4
134.5

36.3
967

37.2
96.9

35.5
95.4

346
94.7

40.9
27.4

41.7
27.7

44.0
28 1

42.5
279

30.0

30.0

29.6

29.2

66.6
53.0
656.6

66.2
52.9

63.9
50.6

64.1
50.3

49.5
37,6

47.3
35.7

47.2
35.7

656.6
301.8
104.7
85.7

648.9
312.0
113.2

649.5
312 8
113.6

49.5
37,6
435.7

425.1
196.7

424.7
196.9

63.9
50.7

647
507
40.4

301.9
104.6
86.1

561.1

649.8

436.1
195.2

599

194.9

59.9

49.4
354.7
44.9
59.9

49.6
354.8

86.6
50.7
336.9

86.9
50.5
336.7

44.1

41.5

40.9

59.4

56.3

19.1
25.3
71.5
134.0

18.6
25.1
73,2
134.4

17.7
21.2
74.9
125.3

56.5
16 8
20.9
75.7

5,377

5,411

5,320

125.9
5,308

1,467.6
50.5
59.6

1,481.1
50.6
59.7

1,470.0
51.8
60.8

1,456.2
52.1
60.3

31121,2
31123
3113
31131
31132,3

45.9
13.7
77.2
13.3
44.0

46.0
13.7
80 0
13.6
44.2

46.3
14.5
78.4
13.4
44.6

45.7
14.6
75.8
12.4
43.1

30.7

30.3

30.1

29.6

62.6
10.2
37.7

64.7
10.1
37.9

63.5
10.4
38.2

60.6
9,5
36.5

3114
31141
311411
311412

167.9
89.2
33.5
55.7

173.9
91.7
35.2
56.5

166.0
86.9
32.1
54.8

166.6
87.9
33.0
54.9

137.2
74.4
28,4
46.0

142.5
76.3
30.1
46.2

136.7
72.3
27.0
45.3

137.2
727
27.9
44.8

78.7
57.3
10.0
11.4
130.1
108.1
53.8
22.0
504.7
150.0

82.2
61.2
9.4
11.6
132.3
109.2
54.4
23.1
504.3
147.6

79.1

62.8
44.9

66.2
48.7

64.4
47.7

64.5
46.9

11.1
132.5
110.1
55.8
22.4
502.5
149.0

78.7
57.7
8.9
12.1
133.7
110.3

9.8
85.0
72.1
32.1

10.0
86.4
72.6
32.2

9.4
88.9
75.3
34.9

10.4
910
76.4
35.0

145.3

435.9
132.7

436.5
130.7

434.2
132.1

428.8
127.3

118.5
236.2

119.0
237.7

118.6
234.9

116.3
234.1

94.3
208.9

95.1
210.7

92.2
209.9

916
209.9

39.5

40.9

38.6

35.2

32.7

33.5

31.4

28.0

3399
33991

33992
33993

33994
33995
33999

.., 311
3111
3112
.

See footnotes at end of table.




May
2005

24.1
147.6
92.1
55.5
37.7

31142
311421
311422
Specialty canning
311423
Dried and dehydrated food
3115
Dairy products
31151
Dairy products, except frozen
311511
Fluid milk
31152
Ice cream and frozen desserts
Animal slaughtering and processing........ 3116
Animal, except poultry, slaughtering. 311611
Meat processed from carcasses, and
rendering and meat byproduct
311612,3
processing
311615
Poultry processing
Seafood product preparation and
3117
packaging

Fruit and vegetable canning

Mar.
2005

2004

3365
3366
336611
336612
3369
337
3371

Nondurable goods
Food manufacturing
Animal food
Grain and oilseed milling „
Flour milling, malt, starch, and
vegetable oil....
Breakfast cereal
Sugar and confectionery products
Sugar
Chocolate confectioneries
Fruit and vegetable preserving and
specialty
Frozen food
Frozen fruits and vegetables
Frozen specialty food
Fruit and vegetable canning and
drying

Production workers1

AH employees

80

59.0
9.0

55.4
23.4
495.7

518
40.6
240.9
31.1
42.4

51.7
40.7
240.8

15.3
45.9
95.8

15.0
46.7
96.5

30.6
42,2

40.8
228.4
29.4
38.5

12.7
47.5
91.2

May
2005 P

4310

423.4

227.8
28.5
38.9
12.6
47.6
918

5,331

3,914

3,943

3,870

3,860

3,886

1,471.8

1,150.8
31.9
41.7

1,162.9
32.0
41.2

1,158.5
33.7
41.0

1,147.1
337
407

1,1619

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry-'—Continued
(In thousands)

Production workers1

All employees
Industry

Nondurable goods-Continued
Bakeries and tortilla manufacturing
,
Bread and bakery products
Retail bakeries
....,„..
Commercial bakeries and frozen
cakes and other pastry products....
Cookies, crackers, pasta, and tortillas ..
Other food products..................................
Snack (bod
Miscellaneous food oroducts
. ..

2002
NASCS
code

Apr.
2004

May
2004

Mat
2005

Apr.
2005 P

May
2005 P

Apr.
2004

May
2004

Mar.
2005

2005 P

May
2005 P

—

3118
31181
311811

285.1
210.8
07.7

286.1
212.2
69.0

287.2
.213.2
(19.9

286.8
213.7
69.1

219.5
157.6
55.7

220.8
159.6
56.9

221.0
159.0
55.8

220.5
160.1
55.2

311812,3
31182,3
3119
31191
31192,3,4,9

143.1
74.3
153.0
45.9
107.1

143.2
73,9
153,3
45.6
107.7

143.3
74.0
152.2
-44.2
108.0

144.6
73.1
150.0
44.7
105.3

101.9
61.9
104.3
35.3
69.0

102.7
61.2
105.3
35.2
70.1

103.2
62.0
108.1
34.7
73.4

104.9
60.4
106.6
35.2
71.4

Beveraoes and tobacco oroducts
. ....
Beverages
Soft drinks and fee . ..
Soft drinks
Breweries, wineries, and distilleries
Tobacco and tobacco products................

312
3121
31211
312111
31212,3,4
3122

190.3
162.3
99.3
76.8
63.0
28.0

192.8
165.0
101.6
76.9
63.4
27.8

1B6.9
159.0
97.4
•?5.0
81.8
26.9

186.8
159.9
98.4
76.3
61,5
26.9

190.8

101.5
84,7
49.1
36.1
35.6

103.6
87.1
51.0
37.1
36,1

102.4
84.7
48.5
37.9
36.2

104.7
87,0
50.3
38.7
36.7

110.1

Textile mills
..........
Fiber vam Bnd thread mills
.. ....
Fabric mills
..........
Broadwoven fabric mills
Textile and fabric ftnfshino mills..............
Broadwoven fabric finishing mills.......

313
3131
3132
31321
3133
313311

241.1
54.3
117.6
70.8
69,2
33.8

241.2
55.3
117.2
69.8
68.7
33.4

2.29.0
52.4
110.2
63.9
66.4
31.8

226.9
52.4
109.0
62.5
65.5
31.5

227.8
—

198.6
47.6
96.2
61.2
54.8
26.7

197.7
48.5
95.4
60.5
53.8
26.3

184.1
46.1
86.6
54.8
51.4
24.2

182.1
45.9
85.4
53.6
50.8
23.8

182.5
—

Textile product mills
Textile furnishings mills
Caroet and rua mills
. . ..
Curtain and linen mills
Other textile product mills
....
Textile bag and canvas mills .................
All other textile product mills .................

314
3141
31411
31412
3149
31491
31499

180.8
105.1
49.9
55.2
75.7
30.9
44.8

182.9
106.8
50.2
56.6
78.1
32.2
43,9

178,2
102.7
50.8
51.9
75.5
31.0
44.5

179.9
102.7
50.4
52.3
77.2
32.2
45,0

182.2

145.5
86.3

147.2
87.8

143.6
85,0

145.1
85.2

147.0
—

47.5
59.2
22.7
36.5

48.9
59.4
24.0
35.4

44,1
58.5
22.9
35,6

44.6
59.9
23.3
36.1

Apparel
Aooarel knlttina mills
.
,. ...
Hosiery and sock mills
Sheer hosiery mills ............... .........
Other hosiery and sock mills
Cut &n<S sew apparel
Cut and sew apparel contractors.........
Men's cut and sew apparel
contractors
,
,. .....
Women's cut and saw apparel

315
3151
31511
315111
315119
3152
31521

291.5
43.0
26.3
9.3
17.5
224.6
97.3

291.7
42.4
28.4
9.1
17.3
225.7
98.9

283,2
39.0
23.6
8.4
15.2
2102.3
89.1

262.8
38.6
23.2
8.2
15.0
202.7
89.6

260.1

231.2
33.8
21.4
7.7
13.7
179.2
84.3

230.9
33.7
21.2
7.7
13.5
179.5
85.4

205.0
31.0
18.5
7.1
11.4
157.9
75.0

204.4
30.5
18.2
6.9
11.3
157.8
75.1

315211

22.5

22.3

20.6

20.6

19.3

18.9

17.4

18.0

315212
31522
31523
31529
3159

74.8
55.5
50.9
20.9
23.9

76.6
55.6
50,5
20.7
23.6

68.5
54.0
41.6
17.6
21.9

69.0
53.7
42.4
17.0
21.5

65.0
44.1
34.8

66.5
44,0
33.9

57.6
42.2
27.2

57.1
42.0
27.7

316
3162

43.2
19.6

43.6
19.5

43.4
19.3

43.7
19.2

Men's cut and sew aooarBl . . ........
Women's cut and sew apparel
Other cut and sew apparel... ..,.........
Accessories and otter aDDarei
... ,.
LeBtherdndi allied products
Footwear
Leather and hide tanning and finishing
and other leather products
Paper and paper products
Pulp, paper, and paperboard mills
Pulp mills and paper mills ... .. ........
Paperiboard mills
Converted oaoer Droduds........,..........
Paoerboard containers
Corrugated and solid fiber boxes ......
Folding paperboard boxes ....
Miscellaneous paperboard
containers
Paper bags and coated and treated
paper. .. ....I.......................
Coated and laminated package
materials and paper,.
Miscellaneous coated and treated
oaoer and oaoer baas..
Stationeryoroducts .
Other converted paper products...........

-

—
—
—
2015
—
—

1?J

16.1

16.1

—

34.5
16.2

33.7
15.2

33.8
15.2

33.8

17.9

13.3

18,5

18.6

496.2

374.4
114.4
83.5
30.9
260.0
139.8
85.0
29.9

375.1
115.1
84.0
31.1
260.0
140.1
84.7
30.1

375.6
112.3
81.9
30,4
263.3
146.1
87.9
315

373.6
112.8
82.3
30.5
260.8
143.4
86.0
310

24.9

25.3

26.7

26.4

24.1

24,1

24.5

'499.6
144.8
105.4
39.4
354.8
191.5
117.2
38.5

496.4
144.9
105.4
39.5
351.5
189.1
115,3
38.2

32.4

32.7

35.8

35.6

32222

•73.7

74,4

75.7

75.2

53.1

53.5

54,9

54.8

322221,2

48.1

48,3

48.9

48.8

32.9

32.8

33.4

33.5

322223,4,5,6
32223
32229

25.6
36.4
53.6

26.1
36.1
53.6

26.8
36.1
51.5

26.4
35.7
515

20.2
26.1
41.0

20.7
25.6
40.8

215
24.7
37.6

213
24.4
38.2

81

—
—

33.8
15.9

496.4
147.3
107.3
40.0
349.1
185.0
115.2
37.1

322213,4,5

—
—

"i8.2

23.6

322
3221
32211,2
32213
3222
32221
322211
322212

—

43.4

495.4
146.6
106.8
39.8
348.8
185.1
115.7
37.0

3161,9

See footnotes at end of table.




—

—

374.8

-

—

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
2002
NAICS
code

Industry

Nondurable goods-Continued
Printing and related support activities
Commercial lithograph printing....
Commercial flexographic printing
Commercial screen printing
Quick printing
Manifold business forms printing
Commercial gravure and misc.
commercial printing
Support activities for printing

Production workers1

Ail employees
Apr.
2004

May
2004

Mar.
2005

2004

323
32311
323112
323113
323114
323116
323111,5,7,8,

661.1
259.4
40.9
64.6
70.2
40.3

667.4
261.8
41.2
65.7
70.4
40.3

655.4
262.2
41.9
63.9
66.5
38.3

656.5
262.5
412
64.3
66.0
37.8

9

129.1
56.6

131.5
56.5

129.0
53.6

129.9
54.8

324
Petrdleum and coal products
32411
Petroleum refineries
Asphalt paving and roofing materials
and other petroleum and coal products. 32412,9

110.5
69.0

112.6
69.2

112.8
70.1

115.8
70.6

415

43.4

42.7

45.2

Chemicals
Basic chemicals
Petrochemicals and industrial gases ....
Synthetic dyes and pigments
Other basic inorganic chemicals
Other basic organic chemicals
Resin, rubber, and artificial fibers
Resin and synthetic rubber
Plastics material and resin
Synthetic rubber
Agricultural chemicals
Pharmaceuticals and medicines
.
Pharmaceutical preparations
Miscellaneous medicinal and
biological products
Paints, coatings, and adhesives
Paints and coatings
Soaps, cleaning compounds, and
toiletries
Soaps and cleaning compounds
Polishes and other sanitation goods
and surface active agents
Toilet preparations
Other chemical products and
preparations

325
3251
32511,2
32513
32518
32519
3252
32521
325211
325212
3253
3254
325412

889.4
157,6
52.9
18.7
44.2
41.8
108.5
72.4
56.3
14.1
42.8
290.0
228.2

890.6
156.9
51.7
18.6
44.7
41.9
108.7
72.6

877.6
153,2
48.5
17.9

56.5

57.9

14.1
42.0
291.5
228.7

13.8
39.8
289.9
226.0

877.4
152.5
48.3
17.9
45.1
412
105.9
717
58.0
13.7
40.7

32551

61.8
67.7
44.7

62.8
68.0
45.0

3256
32561

115.3
58.8

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 products
Plastics bottles and laminated plastics
plate, sheet, and shapes
Other plastics products
Rubber products
Tires
Rubber and plastics hose and belting ..
Other rubber products
Rubber products for mechanical use .
All other rubber products

450.7
1817
28.9
41.1
44.6
25.4

453.1
1813
28 2
42.0
45.2
25.4

919
36.5
74.3
44.9

94.4
36.5
76.7
45.4

92.7
36.3

93,6
37.4
78.4
47.1

29.4
5212
96.3

313
522.6
95.0

513.5

313
513.3
69.0

23.9

23.9

24.4

24.0

73.9
45.8
37.2

73.9
45.9
37.3

70.5
43.7
35.7

70.2
43.3
35.5

226.5

30.3
136.S
106.5

29.7
139.0
108.7

29.1
143.0
110.6

29J
1419
110.9

63.9
68.9
44.9

62.8
69.2
45.1

30.1
39.9
25.3

30.3
40.5
26.0

32.4
413
26.5

31.0
42,6
26.9

115.2
59.0

111.4
56.9

111.8
56.4

74.8
37.4

74.8
38.0

70.9
36.5

714
36.6

32.7
56.5

32.6
56.2

31.8
54.5

313
55.4

19.9
37.4

20.0
36.8

18.5
34.4

18,1
34.8

3259

107.7

108.0

69.4

68.5

805.3
633.1

805.4
633.7

625.2
488.2

69.7
629.7
492.0

68.9

805.9
633.4

108.3
810.6
637.3

108.5

326
3261

625.4
488.4

624.1
488.2

32611

88.0

88.1

87.5

87.2

65.3

65.7

66.5

66.2

326113

52.1

52.4

52.6

52.5

37,2

37.5

38.5

38.6

32612
326121
326122
32614,5

57.5
28.2
29.3
62.7

57.1
27.7
29.4
62.9

58.0
28.0
30.0
63.1

5(3.0
28.0
30.0
02.5

43.6
21.2
22.4
48.8

43.0
20.6
22.4
48.9

43.0
20.3
22.7
48.7

42.7
20.1
22.6
48 4

32613,6
32619
3262
32621
32622

56.1
369.1
172.5

56.1
373.1
173.3

54.4
370.1
172.2

55.2
370.8
1717

46.1
284.4
137.0

46.1
288.3
137.7

44.8
285.4
137.0

45.5
285,4
135.9

69.3

69.7

68.3

55.6

55,7

55.9

28.0

28.7
75.2
45.9

68.4
29.0
74.3
45.9

55.3

28.0
75.2

59.6
36.9
22.7

59.8
36.8
23,0

58.2
35.9
22.3

57.6
35.9
217

72,566
21016
4,406.0
2,293.2
268.3

73,205

21,456

21,624

4,433.7

73,752
21,306
4,492.4

4,518.6

4,546.5

2,302.0
269.6

2,353.0
274.5

2,359.9
275.6

32312

325411,3,4

3255

325612,3
32562

32629
326291
326299

Trade, transportation, and utilities

45.4
41.4
105.9
71.7

118.1

878.0

803.6

28.9

75.6
46 3
29.3

29.3

2S.4

109,527

110,129

110,542

111,434

37,520

88,142

88,404

89,287

89,715

25,265

25,440

25,427

25,587

25,767

5,7013

5,729.0

2,973.3
342.6

2,984.8

46.3

42

5,641.0

423
4231

2,937.8
339.2

5,659.8
2,944.1
340.0

See footnotes at end of table.




$05*

461.6
184.7
27.5
44.4
47.3
26.8

Private service-providing.

Durable goods
Motor vehicles and parts

Mar.
2005

457.5
183.4
27.4
43.7
47.8
268

Service-providing

Wholesale trade

658.8

May
2004

82

5,674.0
2,964.1
341.0

77.1
47.1
30.0

457.8

80.7

512,6

623.0

111,860
21,201

74,544

74,941

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Contiiiwecl
{In thousands)
Production workers

AH employees
Industry

Wholesale trade-Continued
Motor vehicles.....,.._...
New motor vehicle parts
Furniture and furnishings ................ .....
Furniture
Home furnishings
.......
Lumber and construction supplies
Lumber and wood
............................
Masonry materials
Roofing, siding, and other
construction materials.............................
Commercial equipment .............................
Office equipment
Computer and software
Medical equipment
... ............
Miscellaneous professional and
commercial equipment
Metals and minerals .................................
Electric goods
Electrical equipment and wiring ............
Electric appliances and other
electronic parts.
............
Hardware and plumbing ...........................

Hardware..,,.
Plumbing equipment....
HVAC and refrigeration equipment
Machinery and supplies...,
..................

Construction equipment
Farm and garden equipment
industrial machinery..............................
Industrial supplies
......................
Service establishment equipment.......
Other transportation goods
Miscellaneous durable goods ..................
Sporting goods
......................
Recyclable materials.............................
Jewelry
.............
Toy, hobby, and other durable goods..
Nondurable goods
...............................
Paper and paper products .......................
Printing and writing paper and office
supplies..........
...................................
Industrial paper......................................
Druggists' goods.......................................
Apparel and piece goods.........................
Men's and boys' clothing
......
Women's and children's clothing ..........
Grocery and related products
General line grocery
.....................
Packaged frozen food...........................
Fruits and vegetables............................
Farm product raw materials
Grains and field beans
Chemicals
Other chemicals ....................................

Petroleum
Alcoholic beverages .................................
Beer and ale ..........................................
Wine and spirits.....................................
Misc. nondurable goods...........................
Farm supplies
Books and periodicals
Nursery stock and florists' supplies ......
Tobacco and tobacco products ..... ..
Paint, painting supplies, and other
nondurable goods.............................
Electronic markets and agents and
brokers..............................

2002
NAICS
code

2uO4

May
2004

52.1
202.7
113.8
42.4

51.4
206.1
114.7
43.5

115.0
248.6
17*2.8

57.8
644.8
115.7
248.7
172.3

45.0
512.1
99.3
203.0
129.7

45.3
515.7
99.2
203.2
132.1

46.5
525.0
97.0
210.4
136.9

47.9
525.3
97.2
210.8
136.0

110.5
1213
339,5
143.4

107.6
120.6
336.6
145.0

108.1
119.7
338.4
146.4

80.1
100.4
2414
110.5

812

99.3
242.2

80.7
99.4
248.9
110.7

194,4
233.2
77.8
87.3
68.1
650.1
78.4
101.7
303.0
70.3
64.3
32.4

196.1
233.5
78.2
86.9
68.4
651.4
78.8
1027
302.2
70.8
64.8
32.1

192.0
234.7
78.2
87.8
88.7

130.9

663.5

5018
60.7
80.8
229.8
52.4
52.9

504.3
617
816
230.4
52.8
52.9

138.2
184.1
59.8
712
53.1
517.7
63.5
78.4
243.5
53.8
55.5

267.6
47.4
97.7

267.3
47.3
96.0
44.0
80.0

191.6
235.4
78.7
88.3
88.4
661.4
1118
100.0
3112.0
70.4
87.0
30.2
271.3
45.8

30.1
272.1
46.4

209.8

208.4

214.4

215.5

96.7

79.2

77.8

80.2

79.8

65.6
245.2

54.7
641.1
117.9
243.1
169.6

56,4
844.0

42341,4,6,9
4235
4236
42361

109.8
122.1
339.2
144.8

42362,9
4237

424
4241
42411,2
42413
4242
4243
42432
42433
4244
42441
42442
42448
4245
42451

4246
42469
4247
4248
42481
42482

135.2

97.0
42.0

98.1
134.3

97.7
135.9

86.7

248.3
135.8
54.7

118.3
178.1
109.2

43.5
65.7

66.1

86.5

42,1
86.9

151.5

2,017.2
150.8

1,907.3
148.7

2,010.1
148.6

86.9
64.6
215.7
146.8
32.0

85,4
65.4
218.9
145.9
32.1

34.9
S3.8
218.7
145.0
319
57.9
880.7
205.1
30.8

84.2
64.4
217.9
144.0
317

43.1
79.4

2,006.5

61.6
683.5
209.9
30.7
73.5
73.2
43.5
130.4
105.6
100.9
141.0
85.8
55.2

363.5

60.2
689.1
212.3
31.1
74.4
73.7
43.8
131.5

106.6
100.1
141.3
85.9

56.4
365.9

72.5
70.1
411
1318
107.6
99.8
143.6
84.1

59.5

138.9
184.1
59.4
711
53.6

519.8
64.3
79.6
244.8
53.9
54.8

59.5

59.2

66.8

67.5

1589.5
118.1

1,604.6
117.5

1,502.3
116.6

1,607.3
117.6

68.5
49.6
162.2

66.6
50.9

67.6
49.0

67.3
50.3

108.9

165.2
107.9

165.2
105.9

164.8
104.5

558.1
173.6

565.1
176.3

563.4
171.7

568.5
172.9

63.7
610

65.0
615
36.1
98.4
79.5
816
115.7
70.4

63.1
57.7
33.5

64.3
58.5
34.4
103.1
83.9
813
120.7
712

35.9
97.0
78.2
82.2
114.3
69.3

60.3
365.8

287.7

113.3

90.3

291.7
91.8

2819
87.1

288.3
92.2

85.6

87.4

89.3

88.0

523.3

527.1

547.1

551.4

28.5

42495,9

112.9

114.0

115.3

114.7

425

696.7

698.5

712.6

717.9

83

133.3
177.3
58.0
66.7
52.6

110.5

1317
107.8
99.8
145.6
85 3

42494

54.2
55.4

108.9

81.3
98.0

249.4

56.6
205.6
314
73.9
715
42.4

113.8

42493

2,019.1

685.2

113,4
54.0
54.7
28.5

42491
42492

177.4
57.9
67.3
52.2

82.4
1013
313.2
70.4

358.9
107.8
§5.1
52.4
28.3

4249

Apr.
2005

52.6
198.9
108.0
45.6

68.2
238.9
127.9

54.4
639.3
118.5
243.1
167.9

42393
42394
4239299

Mar
2005

53.1
195.3
106.9
43.4

69.0
235.8
127.0
54.4

42333,9
4234
42342
42343
42345

42391

May
2004

86.3

$3.6

42386
4239

Apr.
2004

100.2
141.7
86.1

U18.8
377.6
108.6
43.0

56.3

42371
42372
42373,4
4238
42381
42382
42333
42384
42385

May
2005 P

100.0
1418
86.3

119.7
174.4
111.1
42.9

120.8
173.0
111.3
42.3

42311
42312
4232
42321
42322
4233
42331
42332

See footnotes at en^ of table.




Mar.
20(1)5

54.6
54.9

1010
82.9
814
118.3

28.3

725.1

May
2005 P

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)

Industry

Wholesale trade-Continued
Business to business electronic
markets
Wholesale trade agents and brokers .
Retail trade
Motor vehicle and parts dealers
Automobile dealers
New car dealers
Used car dealers
Other motor vehicle dealers
.
Recreational vehicle dealers
Motorcycle, boat, and other vehicle
dealers
Auto parts, accessories, and tire stores..
Automotive parts and accessories
stores
Tire dealers

NAICS
code

42511
42511
42512
44,45
441
4411
44111
44112
4412
44121

Production workers1

All employees

2002
Apr.
2004

64.3
632.4

May
2004

64.8
633.7

Mar.
2005

62.8
649.8

May
2005 P

Apr,
2004

52.8
470.5

62.1
655.8

May
2004

52.9
474.2

Mar.
2005

51.5
495.6

2005 f

50.0
501.4

14,852.3 14,969.1 14,876.6 14,978.4 15,095.1 12,569.3 12,681.5 12,642.1 12,736.6
1,902.3 1,910.1 1,900.7 1,911.2 1,920.6 1,561,6 1,566.3 1,559.1 1,570.2
1,257.6 1,256.8 1,247.9 1,260.4 1,252.2 1,043.4 1,042.3 1,0377 1,040.0
1,139.0 1,137.9 1,126.5 1,130.1
957.1
955.9
948.0
951.5
121.4
118.9
118.6
120.3
86.4
S6.3
88.5
89.7
157.5
161.2
162.5
158.1
130.4
128.2
124.9
130.1
39.3
40.5
41.0
39.2

44122
4413

118.9
486.6

120.7
492.1

118.2
495.3

121.5
498.3

94.9
390.0

96.2
393.6

§1.9
396.5

95.5
400.1

44131
44132

325.1
161.5

328.9
163.2

333.2
162.1

335.8
162.5

262.1
127.9

263.9
129.7

268.3
128.2

2712
128.9

Furniture and home furnishings stores
Furniture stores
Home furnishings stores
.
Floor covering stores
Other home furnishings stores

442
4421
4422
44221

552.0
286.2
265.8
99.0
166.8

557.2
290.4
266.8
97.7
169.1

559.8
292.5
267.3
97.8
169.5

560.6

44229

551.8
286.1
265.7
99.8
165.9

436.2
229.1
207.1
' 75.0
132.1

436,6
229.0
207.6
74.2
133.4

444.1
235.2
208.9
75.2
133.7

447.4
238.3
209.1
75,2
133.9

Electronics and appliance stores
Appliance, TV, and other electronics

443

512.8

505.3

516.8

513.3

512.7

401.4

395.0

409.6

408.2

44311
443111

341.5
74.3

338.5
73.4

349.3
72.5

347.3
71.5

279.7

277.4
57.8

287.2
55.5

285.7
54.2

443112

267.2

265.1

276.8

275.8

219.6

231.7

231.5

44312,3

171.3

166.8

167.5

166.0

117.6

122.4

122.5

1,289.0
1.131.4
165.4
291.3

1,020.0
884.1
495.1
30.8
130.7
227.5

1,051.4
905.8
510.9
31.5
133.0
230.4

1,015.1
904.9
509.8
30.1
131.6
233.4

1,060.2
929.0
527,7
31.1
132.3
237.9

157.6
34.2

135.9
25.9

145.6
26.6

110.2
23.9

131.2
26.5

Household appliance stores
Radio, TV, and other electronics
stores
Computer, software!, camera, and
photography supply stores
Building 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 stores
Nursery, garden, and farm supply
stores
,
Food and beverage stores
Grocery stores
Supermarkets and other grocery
stores
Convenience stores
Specialty food stores
Meat markets and fish and seafood
markets
Fruit and vegetable markets
Other specialty food stores
Beer, wine, and liquor stores
Health and personal care stores
Pharmacies and drug stores
Cosmetic and beauty supply stores
Optical goods stores
Other health and personal care stores..
Food (health) supplement stores
All other health and personal care
stores
•••
Gasoline stations
.....
Gasoline stations with convenience
stores
Other gasoline stations

4441
44411
44412
44413
44419

1,248.0
1,086.1
598.3
39 5
166.3
282.0

1,280.8
1,109.3
168.7
285.7

1,239.5
1,104.3
615.1
38.7
164.4
286.1

4442
44421

161.9
33.3

171.5
33.8

135.2
31.2

614.6
40.3

86.3
2,466.6
2,165.5

2,468.7
2,164.6

2,288.3
139.4
237.1

2,042.0
117.8
197.4

2,067.6
118.7
202.1

2,050.2
115.3
196.1

2,048,2
116.4
198.6

65.5

51.0
37.8
108.8
106.0

53.1
110.0
107.1

52.2
34.1
109.8
105.0

53.9
35.2
109.5
105.5

776.2
571.2

780.8
574.6

785.2
578.5

788.2
578.8

45.9
75.9

46.3
75.5

48.7
75.7

49.3
76.4

39.0

39.6
748.2

42.7

43.5

738.8

732.5

735.3

634.8
104.0

643.2
105.0

632.2
100.3

6357
99.6

123.4
2,798.0
2,427.7

44511
44512
4452

2,283.0
141.0
238.4

2,307.9
142.6
243.7

2,287.7
138.9
235.0

62.5
44.6

64.6
46.3

131.3
134.3

132.8
135.7

63.9
40.4
130.7
132.5

934.2
678.0
99.2
62.3
94.7
45.8

936.9
680.6
99.9
62.9
93.5
44.2

943.0
687.1
98.5
63.8
93.6
41.5

948.8
689.1
100.1

952,9

64.6
95.0
42.8

48.9

49.3

52.1

52.2

871.9

881.3

864.5

868.5

44711
44719

748.2
123.7

756.7
124.6

744.7
119.8

748.4
120.1

84

2,824.4

41.5
130.1
133.2

447

446199

See footnotes at end of table.




119.0
2,495.5
2,186.3

104.0
2,794.1
2,426.6

446

1,321.4

110.0

137.7
2,829.9
2,450.5

44611
44612
44613
44619
446191

121.7

2,463.2
2,159.8

128.6

2,796.7
2,424.0

44521,2
44523
44529
4453

220.9

635.4
39.3

445
4451

44422

58.8

878.5

39.0

May
2005 P

104,7

12,841.4

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)

Production workers1

AH employees
Industry

2002
NA!CS
code

Retail trade-Continued
Clothing and clothing accessories stores ... 448
4481
Clothing stores
44811
Men's clothing stores
44812
Women's clothing stores
Children's and infants1 clothing stores... 44813
Familv dothirta stores
44814
Clothing accessories stores.................. 44815
Other clothing stores............................ 44819
Shoe stores ............................................... 4482
Jewelry, luggage, and feather goods
stores
........................................ 4483
Sporting goods, hobby, book, and music
stores...
......................
Sporting goods and musical instrument
stores
Soortina aoods stores............................
Hobbv tov and aame stores
Sewing, needlework, and piece goods
stores................
.................................
Musical instrument and supplies
stores
......... .......
Book, periodical, and music stores
Book stores and news dealers
Prerecorded tape, CD, and record
stores
..................................

451

2004

May
2004

2005

2fJo5P

1B314.2
969.1
71.2
249,4
57.8
430.4
41.6
118.7
179.5

1,330.4
980.7
72.3
250.2
57.9
437.0
42.7
120.6
182.7

1 346.7
995.5
71.1
251.3
59.8
444.8
45.7
122.8
186.0

1,347.3
999.1
71.8
254.1
59.4
443.1
46.4
124.3
185.7

165.6

167.0

164.2

162.5

618.5

622.5

621.4

621.5
423.9
206.4
126.3

May
2005 P

Apr.
2004

May
2004

Mar.
2005

Apr.
2005 P

May
2005 P

1,361.8

1,042.8
778.9
55.2
194.6

1,056.9
787.7
56.3
196.1

1,084.6
811.9
55.6
195.5

1,086.8
816.6
56.6
198.8

—

355.8
32.5
91.8
139.2

359.7
34.5
92.5
142.0

374.2
37.7
97.9
146.6

373.7
38.1
98.8
145.8

124.7

127.2

126.1

124.4

627.0

497.4

500.6

508.2

506.0

—

336.4
161.8
104.1

338.2
164.8
103.1

343.9
165.4
10S.9

345.3
166.4
105.6

—

-

-

4511
45111
45112

416.7
204.2
124.1

419.1
207.0
123.4

423.3
206.8
126.4

45113

53.2

52.9

52.4

52.9

42.3

42.7

44.5

43.0

45114
4512
45121

35.2
201.8
148.4

35.8
203,4
151.4

37.7
198.1
147.0

38.3
197.6
147.1

161.0
120.8

162.4
123.2

162.3
121.9

160.7
120.8

45122

53.4

52.0

51.1

50.5

40.2

39.2

40.4

39.9

2,780.2
1 561.5
683.5
878.0
1,218.7
910.7
308.0

2,787.4
1,565.1
687.3
877.8
1,222.3
908.6
313.7

3.784.0
568 8
876.2
892.6
1,215.2
903.2
312.0

2,803.2
1,576.6
674.0
902.6
1,226.6
913.5
313.1

2,808.1
1,578.5

2,561.7
1,437.3
607.8
829.5
1,124.4
861.8
262.6

2,570.8
1,443,2
613.7
829.5
1,127.6
859.8
267.8

2,569.6
1,451.8
609.7
842.1
1,117.8
852.4
265,4

2,590.1
1,459.6
608.1
851.5
1,130.5
861.2
269.3

923.2
..

727.0
91.2

739.7
96.8

728.8
87.7

738.7
90.3

318.8
144.8
174.2
91.3
225.7
65.8

320.2
144.3
175.9
92.6
230.1
66.3

324.3
150.5
173.8
93.0
223.8
67.8

325.4
149.7
1767
94.7
228.3
69.0

452
4521
Department stores, except discount.. 452111
452112
Discount department stores
452S
Other general merchandise stores
Warehouse clubs and supercertters..... 45291
All other general merchandise stores ... 45299

General merchandise stores
D&D&rtfnfifti stones

yiscellaneous store retailers.......................
Florists .......................................................
Office supplies, stationery, and gift
stores
..
Office supplies and stationery stores....
Gift, novelty, and souvenir stores
,..
Used merchandise stores........................
Other miscellaneous store retailers
Pet and oet supplies stores ... .............
Art dealers .. ....................................
Manufactured and mobile home
dealers.........
...
Ail other miscellaneous store retailers.

453
4531

904.8
110,4

919.0
116.8

897.3
104.6

907.2
107.7

4532
45321
45322
4533
4539
45391
45392

396.3
180.4
215.9
110.2
287.9
82.4
22.7

398.1
179.5
218.6
110.8 I
293.3
82.8
22.7

398.6
183.7
214.9
111.0
283.1
82.9
21.0

400.1
183.1
217.0
112.4
287.0
83.9
20.6

45393
45399

26.0
156.8

26.4
161.4

23 8
155.6

23.9
158.6

Nonstore retailers
. ..
...
Electronic shopping and mail-order
houses
Electronic shopping and electronic
auctions,.....................—
Mail-order houses .. ......................
Vendina machine operators.. . .,
Direct sellino establishments
Fuel dealers . . . . .
.............. ........
Heating oil dealers .
Liquefied petroleum gas, bottled
gas and other fuel dealers..
Other direct selling establishments

454

416.9

413.5

412.4

410.6

4541

214.2

215.6

211.8

213.7

454111,2
454113
4542
4543
45431
454311

55.7
158.5
52.2
150.5
99.6
53.7

55.6
160.0 I
49.0
148.9
97.7 I
52.3

60.5
161.3
50.6
150.0
102.2
56.0

61.3
151.9
50.6
146.3
99.0
53.3

454312,9
45439

46.9
50.9

45.4 I
51.2

46.2
47.8

45.7
47.3

403.9

—

4,203.3

4,240.5

4,302.6

4,335.3

4,368.8

481
Air transportation
Scheduled air transportation
...... .. 4811
Nonscheduled air transportation ............. 4812

515.2
472.2
43.0

517.1
472.6

505.3
455.4
49.9

505.4

44.5

505.3
456.4
48.9

Rail transportation....................................... 482

223.8

223.8

221.9

223.6

224.5

483

56.5

58.3

59.1

61.8

65.1

Water transportation ...
See footnotes at end of table.




85

—

—

«...
mm

-

-

—

48,49

TransDoitatlon and wsrehouslfKi .... .

—

121.4

124.7

119.9

123.4

343.0

339.7

338,7

336.8

175.6

177,5

174.1

176.0

132.8

134.5

127.8

128.9

__

124.5
34.3
44.7

122.7
82.3
43.3

123.5
85.8
46.6

120.3
82.8
43.9

—

39.6

39.0

39.2

38.9

3,585.0

3,628.5

3,713.9

3,744.1

—

3,778.4

—
-

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12, Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)

Industry

Transportation and warehousing-Continued
Sea, coastal, and Great Lakes
transportation.....
Truck transportation
General freight trucking
General freight trucking, local
General freight trucking, long-distance
General freight trucking,
long-distance TL
General freight trucking,
long-distance LTL
Specializedfreighttrucking
Used household and office goods
moving
Other specialized trucking, local
Other specialized trucking,
tong-distance
Transit and ground passenger
transportation
Urban transit systems
interurban and rural bus transportation..
Taxi and limousine service
Taxi service
Limousine service
School and employee bus
transportation
Charter bus industry
Other ground passenger transportation ..
Pipeline transportation
Scenic and sightseeing transportation
Support activities for transportation
Support activities for air transportation ...
Airport operations
Support activities for water
transportation
Port and harbor operations
Marine cargo handling
Navigational services and other water
transportation support activities
Support activities for road
transportation
,
Motor vehicle towing
Freight transportation arrangement,.
Support activities for other
transportation, including rail
Couriers and messengers
Couriers
Local messengers and local delivery.
Warehousing and storage
General warehousing and storage..
Refrigerated warehousing and
storage..
Miscellaneous warehousing and
storage
Utilities
Power generation and supply
Electric power generation
Hydroelectric power generation
Fossil fuel electric power generation
Nuclear and other electric power
generation
Electric power transmission and
distribution
.Electric bulk power transmission
and control

2002
NAICS
code

All employees

Apr.

Mar.
2005

Apr.
2004

May
2004

Mar.
2005

200*5'

1,146.3
818.1
193.8
624.3

1,161.5
820.9
192.9
628.0

1,183.7
8511
198.9
652.2

1,202.4
859.6
202.0
657.6

514.6

434.5

434.5

455.5

459.1

226.0
390.2

227.6
400.2

189.8
328.2

193.5
340.6

196.7
332.6

198.5
342.8

99.8
195.6

92.3
188.0

94.4
194.6

77.9
159.1

82.3
165.3

75.8
160,2

78,4
166.6

105.0

106.5

109.9

111.2

912

93,0

96.6

97.8

485
4851
4852
4853
48531
48532

391.7
41.0
20.5
66.6
31.2
35.4

405.8
41.3
20.8
67.7
31.3
36.4

404.2
41.2
18.8
68.3
30.3
38.0

407.9
41.7
19.0
68.3
30.6
37.7

355.3
37.1

369.4
37.3

3719
37.5

374.2
38.0

4854
4855
4859
486
487
488
4881
48811
4883
48831
48832

170.9
33.5
59.2
38.4
24,0
528.4
140.7
64.1
90.1
20.7
40.2

182.8
34.1

186.3
31.9
60.7

159.3

1710

174.5

177.0

59.1

183.8
32.3
59.8

52.4

52.5

54.1

54.6

38.7

39.1

39.4
23.4

28.0

28.2

28.5

29,0

2004

2004

35.3
1,328.4
936.7
229 0
707.7

37.2

40.1

41.2

1,340.8
938.9
227.4
711.5

1,356.4
966.2
229.9
736.3

1,376.7
976.5
234.3
742.2

484121

488.0

488.4

510.3

484122
4842

219.7
391.7

223.1
401.9

48421
48422

96.2
190.5

48423

4831
4831
484
4841
48411
48412

27.4

20.5

529.1

550.2

1,390.9

409.4

39.0
28.1

18.5

219

16.4

19.0

5518

430.5
117.2

463.7

452.9

120.6

56.4

119.7
57.3

143.7

549.4
142.7

64.7

65.6

66.4

55.0

433.1
117.2
55.2

90.3
20.6
40.8

96 9
22.4
44.5

98.3
23.1
44.2

78,6
19.3
36.4

79.2
19.2
37.3

86.6
20.6
417

88.2
213
416

29,2

28.9

30.0

310

4884
48841
4885

74.8
45.6
167.6

75.1
45.6
168.2

78.6
47.7

76.6
46.2

62.1

62.2

64.5

63.0

171.8

172.6

126.1

127.7

130.7

131.1

4882,9
492
4921
4922
493
49311

55.2
548.3
498.3
50.0
548.6
456.9

54.8

59.2

59.2

46.5

46.8

513

50.9

555.5
504.9
50.6

576.0
524.8

583.5

447.4
405.2

456,3
414.0

488.5
446.0

488.9
446.6

51.2

577.8
526.5
51.3

544.0
453.0

569.9
469.8

570.0
469.4

5711

473.6
398.1

469.5
395.1

4011
408.2

490.9
407.6

49312

43.4

43.6

50.6

51.5

36.7

37,0

43.1

43.7

49313,9
22
2211
22111
221111
221112

48.3
567.9
411.2
250.3
50.6
136.5

47.4

49.5

49.1

570.8
413.1
251.3
50,7
137.2

574.1
413,3
250.5
50.3
137.8

572.0
4114
248.9
49.8
137.3

221113,9

62.4

618

48833,9

140.7

574.2

38.8

37.4

39.8

39.6

455.5
324.6
189.6

4568
325.6

457.2
3216
185.6

456.5
320.8
185,0

1012

1018

99.3

99.1

63.2

63.4

22112

160.9

161.8

162.8

162.5

135,0

135.7

136.0

135.8

221121

27.2

27.2

27.8

27.8

23.2

23.3

237

23.7

See footnotes at end of table.




Production workers1

86

May
2005 P

457.8

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
Employees on nonfarm payrolls by detailed industry—Continued
(in thousands)

Industry

Utilities-Continued
Electric power distribution
....
Natural gas distribution
. ..
Water, sewage and other systems .
Information

2002
NAICS
code

Motion picture and sound recording
industries
Motion picture and video industries
Motion picture and video production
Motion picture and video exhibition ...
Miscellaneous motion picture and
video industries
Sound recording Industries ...................
Broadcasting, except Internet
Radio and television broadcasting .......
Radio broadcasting .....
Television broadcasting.....................
Cable and other subscription
programming..
................................
Internet publishing and broadcasting........
Telecommunications
..................
Wired telecommunications carriers..
Wireless telecommunications carriers ..
Cellular and other wireless carriers .
Telecommunications resellers ...............
Cable and other program distribution ....
ISPs, search portals, and data
processing
ISPs and web search portals
Data processing and related services ...
Other information services.

May
2004

135.0
114.8

Apr.
2004

May
2004

Mar.
2005

Apr.
2005 P

111.8
95.5
35.4

112.4
95.1
36.1

112.3
99.3
36.3

112.1
99.5
36.2

2,383
649.6

2,453
667.7

2,466
662,8

474.9
262 3
101.1
55.7

4717
260.6

53.8

464.0
260.0
94.3
53.6

185.3

185.6

192 8

191.1

397.5

298.3
284.5
144.4
117.6

316.0
302.0
154.0
126.7

295.2
282 0
137.7
123.8

305.1
2918
147.7
123.9

328.5

256.7
194.6
93.2
1014

257.8
196.6
94.3
102.3

2625
199.7
95.2
104.5

260.3
198.2
93.5
104,7

134.7
114.5

512
5121
51211
51213

376.4
354.9
193.9
131.7

396.1
374.3
204.6
140.8

376.5
356.6
189.1
141.3

392.0
372.4
205.0
141.2

29.3
21.5

28.9
21.8

26.2
19.9

26.2
19.6

323.5
238.5
110.8
127.7

325.4
240.5
111.8
128.7

330.5
243.3
113.1
130.2

329.0
242.3
111.7
130.6

85.0
30.0

84.9

87.2

30.7

34.8

86.7
35.3

1,050.1
555.4
188.9
167.7
152.0
128.9

1,047.3
554.0
188.3
167.0
151.3
128.1

,028.2
538.3
189.1
169.9
146.7
132.7

1,037.9
538.0
191.1
171.4
150.8
134.5

1,037.4

798.1
419.4
146.5
128.9
111.3
102.2

802.1
422.9
146.7
128.9
112.0
1012

856.5
459.1
155.8
139.4
116.7
106 0

863.9
460.1
157.2
140.4
120.5
107.5

388.3
116.9
271.4

389.2
117.5
271.7

393.6
117.1
276.5

394.6
116.8
277.8

396.4

290.6

2912

85.8
204.8

87.4
203.8

303.1
88 3
214.8

306.1
88.4
2177

51.5

517
3,040

50.6

51212,9
5122
515
5151
51511
51512
5152
516
517
5171
5172
517212
5173
5175
518
5181
5182
519

7,997

134.6
110.8

46.9

46.0

46.1

3,149

3,120

3,141

3,146

2,357

908.4

905.8

902.3

899.0

649.5

671.5
374.1
139.6
81.7
47.6
28.5
236.9

881.5
368.7
140.5
79.3
47.0
26.0
244.3

658.8
367,1
139.9
79.0

464.2
260.4
94.7

26.1
243.5

36.4

50.1

50.4

40.4

41.5

40 6

8,163

8,131
ft, 033.8 6,043.2

8,188

5,943

5,980

6,052

39.6
6,077

6,052.1

4,382.0

4,3913

4,434.5

4,439.8

2,067.8

2,073.8
1,279.5
914.7
185.1

2,100.9
1,284.1
913.1
184.8

2,106.9

186.2

186.0

5918
812

593.9

21.5

20.3

20.3

20.3

2,819.7
1,754.5
1,282.9
245.7

2,825.4
1,757.1
1,284.0
246.1

2,893.3
1,791.6
1,308.9

2,904.1
1,799.2
1,310.7

249.0

2,900.6
1,794.9
1,308.0
249.6

52213,9
5222
52221
52222

225.9
762.3
124.7
108.6

227.0
765.0
124.4
106.7

236.7
797.1
118.5
111.9

237.3
797.3
118.1
112.4

178.8
573.0
94.4

76.5

179.7
574.5
95.1
74.6

52229
522291
522292

529.0
105.8
344.5

533.9
105.3
349.8

566.7
112.9
375.1

566.8
112.6
374.8

402.1
76.1
273.9

404.8
75.1
278.0

432.2
80.3

296.7

434.9
810
296.8

522293,4,8

78.7
302.9

78.8
303.3

78.7
304.6

79.4
308.4

53.1
217.5

517
219.8

55.2
225.0

57.1
228.3

125.2

125.0

125.9

127.7

95.6

98.1

100.3

102.8

88.5

87,9

86.8

88.6

522
5221
52211
52212

1,277.3
914.2
184.3

78.4

1,284.7
913.0
185.7

80.2
78.8

5223
52231
52232

See footnotes at end of table.

87

2,475

46.7

58052.5

Monetary authorities - central bank .......... 521

May
2005 P

100,1
55.6

6,942.2
22.2

Finance and insurance.................................. 52




May
2005 P

Mar.
2005

5111
51111
51112
51113
51114
51119
5112

511

FinapdaSactivitiesi..............

Credit intermediation an& related
activities
Depository credit intermediation .............
Commercial banking
Savings institutions
Credit unions and other depository
credit intermediation.,.,......,
Nondepository credit intermediation.......
Credit card issuing
Sales financing
Other nondepository credit
intermediation...
Consumer lending ..............................
Real estate credit
Miscellaneous nondeposstory credit
intermediation
Activities related to credit intermediation
Mortgage and nonmortgage loan
brokers............................................
Financial transaction processing and
clearing..........

Apr.
2004

Production workers

133.7
110.7
46.0
3,128
908.4
872.8
376.1
140.2
80.9
47.1
28 5
235.6

221122
2212
2213

................................

Publishing industries, except Internet
Newspaper, book, and directory
publishers
Newspaper publishers
Periodical publishers
......
Book publishers .................
Directory and mailing list publishers.
Other publishers
Software publishers ..............................

All employees

6,090

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
2002
NAICS
code

Industry

Financial activities-Continued
Other credit intermediation activities ...
Securities, commodity contracts,
investments.
Securities brokerage
Securities and commodity contracts
brokerage and exchanges
Other financial investment activities
Miscellaneous intermediation
Portfolio management,
..
Investment advice
All other financial investment activities
Insurance carriers and related activities ....
Insurance carriers
Direct life and health insurance
carriers
Direct life insurance carriers
„...
Direct health and medical insurance
carriers
Direct insurers, except life and health ..
Direct property and casualty
insurers
Direct title insurance and other
direct insurance carriers
Reinsurance carriers
Insurance agencies, brokerages, and
related services
Insurance agencies and brokerages ...
Other insurance-related activities
Claims adjusting
Third-party administration of
insurance funds......
All other insurance-related activities .

Real estate
Lessors of real estate
Lessors of residential buildings
Lessors of nonresidential buildings
Miniwarehouse and self-storage unit
operators
Lessors of other real estate property ...
Offices of real estate agents and
brokers
Activities related to real estate
Real estate property managers
Residential property managers
Nonresidential property managers....
Offices of real estate appraisers
Other activities related to real estate...
Rental and leasing services
Automotive equipment rental and
leasing
Passenger car rental and leasing
Truck, trailer, and RV rental and
Consumer goods rental
Video tape and disc rental
Miscellaneous consumer goods rental
Home health equipment rental
General rental centers
Machinery and equipment rental and
leasing
Heavy machinery rental and leasing ...

Apr.
2004

May
2004

89.2

90.4

91.9

92.1

523
52312

756.3
289.5

759.2
291.8

785.3
303.1

785.5
302.8

5231,2
5239
52391
52392
52393
52399
524
5241
52411
524113

486.4
269.9
23.3

488.9
270.3
23.6
104.9

501.5
284.0
23.2
114.9
101.1
44,a

786.5

Ma'
May
2004

Mar.
2005

May
2005 P

57.0

57.5

59.3

59.7

478.1
163.0

480.4
163.9

505.1
177.5

505.0
176.0

297.5
180.6

298.1
182.3

311.8
193.3

312.3
192.7

69.6
66.2

71.1
66.5

80.5
71.2

80.4
71.0

1,760.8
1,101.1

1,763.5
1,103.5

1,754,1
1,092.1

1,753.2
1,088.8

97.4
45.3

44.8

502.0
283.3
23.0
114.6
100.6
45.1

2,258.2
1,404.4

2,262.0
1,407.1

2,249.5
1,390.2

2,253.4
1,391.8

767.4
425.5

768.0
425.8

753.5
414.1

753.6
413.7

581.6
298.5

582.5
298.5

571,6
292.8

569,4
290.3

524114
52412

341.9
606.5

342.2
609.0

339.4
606.6

339.9
608.2

283.1
499.7

284.0
501.9

278.8
501.7

279.1
500.9

524126

497.7

499.2

496.3

495.5

418.6

419.7

415.4

413.4

524127,8
52413

108.8
30.5

109.8
30.1

110.3
30.1

112.7
30.0

81.1
19.8

82.2
19,1

86.3
18.8

87.5
18.5

853.8

854.9
642.5
212.4
48.3

859.3
652.8
206.5
47.9

861.6

659.7

660.0

653.9
207.7
47.5

487.1
172.6
39.3

488.7
171.3
39.0

662.0
497,6

664.4
498.6

213.2
48.7

164.4
39,3

165,8
39.0

117.5
47.0

117.5
46.6

111.8
46.8

113.1
47.1

97.0

96.8

90.2

91.4

85.8
47.8
38.0

84.4
46.4
38.0

85.4
44.6
40.8

83.4
43.1
40.3

84.0

59.8

58.6

60.9

60.9

21.6

21.5

23.5

24.9

53

2,054.3

2,087.0

2,096.8

2,119.8

2,135.7

1,561.0

1,588.2

1,617.1

1,637,6

531
5311
53111
53112

1,396.1
595.4
373.4
143.9

1,417.1
604.0
380.1
145.2

1,425.7
591.3
370.0
143.9

1,439.0
596.4
374.3
143.0

1,448.1

1,036.3
461.8
294.3
110.2

1,055.9
470.4
299.7
112.4

1,080,4
462.9
293.4
111.0

1,092.8
468 5
298,2
110.6

53113
53119

37.2
40.9

37.1
41.6

39.4
38.0

39.8

39.3

29.6

30.6

28.1

29.4

5312
5313
53131
531311
531312
53132
53139

320.5
480.2
404.6
286.4
118.2
42.6
33.0

329.6

343.9
490.5
409.9

346.4
494.2

223.7
350.8
301.5
213.8
87.7

232.0
353.5
304.1
213.8
90.3

250.6
366.9
308.5
216.0
92.5

254.8

483.5
408.0
287.6
120.4
42.3
33.2

532

633.2

504.5

511.6

518.0

525.4

5321
53211

159.0
108.1

160.7
110.0

162.8
113.9

165.1
115.4

220.9

224,2
123.2
1010

222.7
127.5

222.4
125.7

95.2

96.7

45.2

49.3

87.3

88.6

5242
52421
52429
524291
524292
524298

103.9

640.6

97.0

288.1
121.8
44.0

412.8
291.3
121.5
44.8

644.6

36.6
646.7

36.6
655.3

194.5
133.2

196.2
134.6

198.9
138.3

201.9
140.4

53212
5322
53223
53221,2,9
532291
5323

61.3
277.0
149.3
127.7

60.6
281.9
158.3
123.6
39.7

59.1

61.6
281.8
150.2
131.6
39.4
62.9

56.4

61.5
281.3
156.7
124.6
40 4
60.9

5324
53241

102.6
53.8

103.7
54.3

109.5
58.2

111.2
58.8

39.3

See footnotes at end of table.




Ma
May
2005

Mar.
2005

52239

Funds, trusts, and other financial vehicles 525
Insurance and employee benefit funds .. 5251
5259
Other investment pools and funds
Real estate and rental and leasing

Production workers1

All employees

88

2,257.2

661.3

122.0
98.9
46.5
78.1

50.0
76.7

310.6
218.2
92.4

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B»12« Employees on nonfamn payrolls by detailed Industry"—Continued
(In thousands)

2002
NAICS
code

Industry

Production workers1

All employees
Apr.
2004

May
2004

Mar.
2005

2005P

May
2005 *

2004

May
2004

Mar.
2005

2005 P

May
2005 p

13,725

Financial activities-Continued
33242,9
Office equipment and other
machinery rental and leasing....—......... 53242,9

48.8

49.4

51.3

52.4

Lessors of nonfinandai intangible assets ... §33

25.0

25.3

24.4

25.5

26.3

16,298

16,384

18,604

16,838

16,825

13,168

13,256

13,526

13,737

6,780.4

6,671,5

6,985.9

6,997.9

6,863.0

5,144.5

5,048.4

5,370.8

5,3717

1,151.6
1,064.2
87.4
70.8
907.4

1,154.2
1,065.1
89.1
72.5
764.6

1,152.8
1,066.4
86.4
70.4
983.2

1,153.5
1,065.4
88.1
71.3
966.3

1,155.8

886.0

—

884.5
815.1
69.4

8147
713

884.9
817.5
67.4

884.6
816.1
68.5

...

807.0

703.3

574.4

771.3

756.3

_

385.0
163.2
120.3
238.9
1,241.9
1817
44.4
785.3

363.3
47.1
124.0
230.2
1,255.5
184.3
45.2
792.8

402.4
193.8
131.0
256.0
1276.8
190.3
40.6
811.4

399.1
180.4
131.3
256.0
1,290.8
190.8
47.3
815.8

285.2
135.0
94.6
188.5
961.1
138.1
33.2
620.1

263.9
34.8
97.6
178.1
973.8
140.2
35.1
627.8

299.6
166.6
101.8
203.3
992.9
145.6
32.1
6407

296.9
153.2
102.6
203.6
1,000.1
145.8
34.3
644.2

88.3
142.2
119.5
34.4
64.4

89.6
143.8
120.9
35.2
65.5

90.4
144.1
121.0
37.1
66.4

93.1
143.8
122.9
37.5
67.8

—

697
100.0
88.5
247
47.1

70.0
1007
90.2
25.4
48.5

71.5
103.0
91.3
27.2
507

73.2
102.6
94.1
277
52.3

1,126.9

1,132.0

1,174.6

1,173.4

1,173.0

8847

8867

929.3

923,3

497.3
466.7

498.6
467.3

524.6
4787

524.3
478.3

****

387.2
367.5

387.3
365.9

4115
377.1

410.3
373.9

58.1
104.8

59.0
107.1

58.4
112.8

58.5
112.3

812

84.0

92.5

90.1

768.4
643.2

777.2
648.7

789.3
6617

793.8
663.1

526.2
435.4

534.0
439.8

564.9
468.8

568.0
469.9

284.6
97.1
105.0

288.1
98.0
103.4

296.3
101.1
102.0

2967
100.5
100.8

183.6
71.8
72.9

186.9
73.4
72.0

2015
78.8
73.2

202.1
77.1
717

71.7

73.9

75.8

77.6

47.6

43.9

52.4

54.2

84.8
62.6
62.6

85.3
64.4
64.1

86.5
637
63.9

87.5
65.5
65.2

57.5
48.4
42.4

58.6
50.4
43.8

62.9
48.3
47.8

64.8
49.8
48.5

Professional and business services.,.........
Professional and technical services

54

5411
Legal services
...........
Offices of lawyers ................................... 54111
54119
Other legal services
«.
Title abstract and settlement offices... 541191
Accounting and bookkeeping services..... 5412
Offices of certified public
541211
accountants
Tax Dreoaration services
....... 541213
541214
Payroll services
Other accounting services.................. 541219
Architectural and engineering services .... 5413
Architectural services
. . ..... . 54131
54132
Landscape architectural services
54133,4
Engineering and drafting services
Building inspection, surveying, and
54135,8,7
maooina services .
....
Testing laboratories ........................... 54138
Specialized design services..................... 5414
Interior design services......................... 54141
54143
Graphic design services
Computer systems design and related
5415
services
Custom computer programming
541511
services
Computer systems design services ... 541512
Computer facilities management
services....
...... 541513
541519
Other computer-related services
Management and technical consulting
5416
services
. .. ....
54161
Management consulting services
Administrative management
541611
consulting services ..,
Human resource consulting services. 541612
Marketing consulting services............ 541613
Process and logistics consulting
541614
services......
Other management consulting
541618
services...
54162
Environmental consulting services
Other technical consulting services....... 54169
Scientific research and development
5417
services
Physical, en&ne&ing, am biological
54171
research
Social science and humanities
54172
research....
Advertising and related services .............. 5418
54181
Advertising agencies ..
54182
Public relations aaendes
Media buying agencies and media
54183,4
representatives
Direct mail advertising...........................
54186
Advertising material distribution and
other advertising services.......................
54187,9
Other professional and technical
services
„.,.....
Marketing research and public opinion 5419
54191
polling
PhotooraDhicservices...... .................. 54192
Veterinary services
............... 54194

1,302,5

798.9

-

542.6

544.5

562.3

561.8

385.6

389.0

410.1

4097

479.4

480.4

497.4

497.2

340.8

343.2

3637

363.9

63.2
424.9
164.2
45.6

64.1
424.5
164.6
45.3

64.9
425.4
164.9
44.6

64.6
429.2
165.9
45.0

44.8
304.5
105.4
30.9

45.8
307.0
106.9
32.0

46.4
314.2
111.0
319

45.8
317.2
1117
32,0

38.7
67.9

38.9
68.1

39.8
69.3

40.6
67.9

63.5

53.5

56.2

55.2

79.2

78.7

78.8

81.4

64.8

64.9

65.4

67.8

497.2

498.1

500.6

5057

406.1

407.3

4119

418.4

103.8
80.0
253.2

105.8
79.2
259.1

109.5
72.5
264.6

110.8
74.9
265.1

84.8
62.8

86.3
63.8
214.4

91.5
577
220.3

93.2
60.8
2207

See footnotes at end of table.




—

89

—

-

2137

—
—
—
—

mm

-

-

-

mm

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industiy—Continued
(In thousands)

Industry

code
Professional and business
services-Continued
Miscellaneous professional and
technical services

54193,9
54193,9

Production workers1

All employees

2002
NAICS
2004

May
2004

Mar.
2005

Ma^
May
2005'

Apr.
2004

2004

Mar
2005

2005 *

55 2

54.0

54.0

54.9

44.8

42.8

42.4

437

Management of companies and enterprises . 55

1,709.4

1,717.3

1,718.2

1,725.3

1,734.2

1,187.0

1,192.6

1,194.2

12016

Offices of bank holding companies
and of other holding companies
Managing offices
Administrative and waste services

90.7
1,618.7
7,808.2

89.5
1,627.8
7,994.8

87.8
1,630.4
7,899.8

88.4
1,636.9
8,115.0

8,227,7

51.9
1,135.1
6,836.9

513
1,1413
7,015.2

54.7
1,139.5
6,9611

55.6
1,146.0
7,163.2

7,484.2
321.2
115.9
3,357.1

7,668.6
320.9
117.2
3,446.2
258.5
2,376.1
811.6
755.8

7,580.6
330.0
116.8
3,510.0
261.3
2,396.2
852.5
756.6
38.6
360.9
51.4
309.5
87.6
162.2
27.0
80.3

7,793.4
332.6

7,905.3

6,572.1
232.0

116.6
3,601.2

269 6
2,466.3

3,207.7
238.2

2,505.0

3,115.5
235.0
2,222 3
658.2
632.0

2,296.3
673.2
630.8

6,702.4
239.5
98.6
3,274.0
243.6
2,313.3
717.1
636.4

6,900.7
240.9

3,642.6

6,747.7
2317
97.7

98.6
3,362.4
252.5
2,383.0
726.9
635.9

314.4
39.8
274.6
72.0
130.6

312.5
42.0

309.8
42.5

88.9
163.9

314.3
40.6
273.7
716
129.5

270.5
716

267.3
72.8

1134.8

136.4

27.9
790

63 6

60.5

63.1

617

178.3
84.1

179.9
84.8

172.5
82.4

1712
80.9

715
637.3
558 6

72.4
645.3
566.4

67.8
873.4
587.1

68.2
678.0
590.1

520.4
78.7
1,434.0

527.2
78.9
1,504.3

547.9
86.3

5512

1,365.3

87.9
1,470.6

70.4
772.4
498.5

72.6
779.1
555.8

72.7
785.7
415.3

76.3
790.6
507.2

Administrative and support services
Office administrative services
Facilities support services
Employment services
Employment placement agencies
Temporary help services
Professional employer organizations...
Business support services
Document preparation services
.,
Telephone call centers
Telephone answering services
Telemarketing bureaus
Business service centers
Collection agencies
Credit bureaus
Other business support services
Travel arrangement and reservation
services
Travel agencies
Tour operators
Other travel arrangement services .......
Investigation and security services
Security and armored car services.......
Investigation services
Security guards and patrols and
armored car services
Security systems services
Services to buildings and dwellings ........
Exterminating and pest control

services
Janitorial services
Landscaping services
Carpet and upholstery cleaning
services
„
Other services to buildings and
Other support services.
Packaging and labeling services
Convention and trade show
organizers
All other support services
Waste management and remediation
services
Waste collection
Waste treatment and disposal
Hazardous waste treatment and

551111,2
551114

56
561
5611
5612
5613
56131
56132
56133
5614
56141
56142
561421
561422
56143
56144
56145

56149
5615
56151
56152
56159
5616
56161
561611

,

Elementary and secondary schools.

226.8
113.5

39.0
363.7
49.8
313.9
90.7
154.5
27.6
80.3

229.7

756.8

753.0

38.2
358.9

52.0
306.9

219 8
106.7
29.1
84.0
7501

637.2
44.7

1,692.5

573.8
104.3
1,770.4

590.7
112.3
1,601.3

112.9
1,718.9

56171
56172
56173

94.4
873.2
604.0

96.9
880.5
667.7

95.2
882.5
505.2

98.9
886 0
610.0

56174

46.8

49.2

45.9

46.4

34.5

36.2

35.2

35.7

56179

74.1

76.1

5619

299.6
56.8

305.6
57.3

77.6
297.4
56.1

58.2
246.1
47.1

60.6
250.3
47.4

58.4
242.7
48.0

60.8
243.1

56191

72.5
296.9
56.9

56192
56199

49.4
193.4

55.0
193.3

49.5
190.5

48.3
193.0

39.2
159.8

44.4
158.5

37.8
156.9

36.4
159.9

562
5621

324.0
115.9
105.8

326.2
119.2
106.1

319.2
121.8
103.7

321.6
122.4
102.7

264.8
99.2

267.5

82.0

102.7
82.5

258.7
103.7
78.8

262.5
105.0
78.9

41.3

41.2

39.5

39.2

64.5
102.3
63.5

64.9
100.9

64.2
93.7
53.6

63.5
96.5
55.5

55.0
83.6
517

55.4
82.3
49.3

53.9
76.2
42.6

53.6
78.6
44.4

14,846

14,799

15,130

15,182

561612,3
56162
5617

5622

562212,3,9

5629
56291
56292,9
61
6111

29.4
83.9
716.1
610.1
44.0
566.1
106.0

60.5

592.5
1,787.6

322.4

38.8

40.4

40.1

41.0

17,058

16,994

17,360

17,426

17,367

2,915.2

2,813.9

2,973.2

2,987.6

2,887.9

839.7

847.9

868.4

871.9

See footnotes at end of table.




221.5
109.0
29.5
83.0

865.1

747.5
635.2
44.5

Education and health services.
Educational services

800.2
755.0
38.6
361.6
50.0
311.6
90.4
153.7
27.4
83.3

113.8
30.4
85.5
722.8
618.5
44.7

562211
Nonhazardous waste treatment and
disposal
Remediation and other waste services ..
Remediation services
Materials recovery facilities and other
waste management services

253.4
2,303.5

969

90

May
2005P

46.8

15,134

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—-Continued
(In thousands)
Production workers 1

All er nployees
Industry

2002
NAICS

code

Education and health services-Continued
6112
Junior colleges
8113
Colleges and universities
Business, computer, and management
6114
training ...
Business and secretarial schools and
61141,2
computer training.....
61143
Management training
Technical and trade schools
..... 6115
8116
Other schools and instruction
61161
Fine arts schools
61162
Sports and recreation instruction
Miscellaneous schools and instruction.. 61163,9
Educational suDDort services
6117
Health care and social assistance
Health care

62
621,293

2004

May
2004

Mar.
2005

88.3
1,508.8

83.0
1407.0

89.7
1,511.0

1,516.4

79.5

79.4

80.2

80.6

35.4
44.1
100.2
230.5
63.4
52.9
114.2
68.2

35.6
43.8
99.3
230.5
62.7
53.0
114.8
66.8

35.2
45.0
104.6
244.2
63.6
62.3
118.3
75.1

35.1
45.5
104.0
244.3
63.8
616
119.4
78.9

20*05 P

May
2004

Mar.
2005

2005 P

Ambulatorv health care services
621
Offices of physicians................................. 6211
Offices of physicians, except mental
health
.
.... . . . . . .... 621111
Offices of mental health physicians.... 621112
6212
6213
Offices of other health practitioners
Offices of chlrooractors ... ................... 62131
62132
Offices of optometrists
Offices of mental health practitioners.... 62133
62134
Offices of specialty therapists
Offices of all other health practitioners 62139
Offices of podiatrists.. ................. 621391
Offices of miscellaneous health
621399
oractitioners
8214
Outpatient care centers
Outpatient mental health centers .......... 62142
Outpatient care centers, except
mental health
....... 62149
621491
HMO medical centers
621492
Kidnev dialvsis centers
Freestanding emergency medical
621493
centers
.......
Miscellaneous outpatient care
621410,98
centers
Medical and diagnostic laboratories......... 6215
Medical laboratories.......................... 621611
Diagnostic imaging centers
........... 621512
6216
Home health care services
Other ambulatory health care services .... 6219
62191
Ambulance services
All other ambulatory health care
62199
services... , ,
621991
Blood and oraan banks
Miscellaneous ambulatory health
care services......—........................... 621999

5,029.9
,089 3

5,052.2
2,098.7

1995.9
42.3
757.5
5216
112.2
93.8
52.5
1919
712
32.6

1,999.3
42.9
760.3
5219
112.8
93.9
52.2
192.4
70.6
32.8

2,043.6
45.7
762.8
528.6
113.0
94.3
47.4
196.3
77.8
34.6

2,053.0
45.7
764.9
532.4
112.4
95.6
47.5
198.1
78.8
34.9

33.6
444.2
148.6

37.8
446.9
147.8

43.0
452.9
148.9

43.9
454.5
147.8

295.6
67.9
712

299.1
67.7
73.0

304.0
67.5
75.5

306.7
67.7
76.5

64.6

65.5

65.9

66.5

919
186.0
130.9
55.1
786.1
200.5
118.6

92.9
187.8
132.0
55.8
770.8
2013
117.3

95.1
192.4
135.6
56.8
795.6
208.3
120.0

96.0
193.2
135.7
57.5
798.3
210.2
120.1

83.9
55.9

84.0
56.2

88.3
59.5

90.1
60.6

28.0

27.0

28.8

29.5

622
Hospitals
General medical and surgical hospitals.. 6221

4,274.2
4,0318

4,282.1
4,040.8

4,340.1
4,093.7

4,348.3
4,098.8

6222
hospitals
Other hospitals......................................... 6223

92.5
149.9

92.0
149.3

92.7
153.7

93.8
155.7

623
6231
6232

2,807.0
1,572.1
489.0

2,810.9
1,573.9
488.6

2,822.6
1,568.5
497.9

2,825.3
1,566.2
498.7

62321

335.0

333.7

344.2

62322
6233

154.0
579.4

154.8
580.6

623311

276.8

277.7

See footnotes at end of table.

91

May
2005 P

—

—

—

-

-

--

—
—
mm

14,142.7 14,180.1 14,386.5 14,438.5 14,479.5 12,373.5 12,4119 12,607.5 12,647.6
11,995.8 12,024.2 12,192.6 12,225.8 12,256.5 10,522.9 10,552.6 10,708.4 10,727.6
4,9312
2,042.2




Apr.
2004

910

4,914.6
2,038.7

Nursing and residential care facilities .. .
Nursina care facilities
... . . . . ...
Residential mental health facilities
Residential mental retardation
facilities
. ....................................
Residential mental and substance
abuse care
Community care feellities for the elderly.
Continuing care retirement
communities

May
2005 P

5,073.1
2,110.1

—
. —

—
—

457.8

4,125.3
1,652.7

4,1413
1656.3

4,233.7
1,6918

4,247.8
1,699.2

1,619.7
33.0
636.9
412.7
84.5
73.9
42.1
155.1
57.1

1,623.3
33.0
638.4
414.9
85.9
74.0
42.0
156.6
56.4

1,658.1
35.7
644.3
424.7
85.9
74.6
38.1
163.3
62.8

1,664.1
35.1
646.3
425.7
65.2
75.1
37.9
163.8
63.7

330.4
125.3

383.2
124.7

387.5
127.2

388.1
126.6

255.1

258.5

260.3

2615

—

—

—

—

—

—

—

—

-

-

—

76.2
159.9
110.2

77.2
161.7
111.6

78.7
167.0
116.4

79.3
167.5
115.8

705.1
177.8
106.4

708.9
177.9
108.3

733.8
184.6
110.3

736.7
184.3
109.3

69.2
46.8

69.1
47.0

74.3
50.7

75.0
517

3,914.1
3,7010

3,9219
3,708.8

3,974.5
3,753.3

3,9817
3,759.0

82.3
130.8

82.7
130.6

82.5
138.7

83.0
139.7

2,483.5
1,413.7
422.1

2,489.4
1,415.4
422.9

2,498.2
1,409.0
429.5

2,498.1
1,402.9
432,2

343.4

292.8

292.7

299.1

300.3

153.7
5919

155.3
594.8

129.3
512.5

130,2
514.3

130.4
526.1

1319
528.2

282.6

284.9

246.5

247.4

253.2

255.5

-

—

—

—

800.3

-

—

—

4,3510

2,832.4
1,569.2

-

-

mm

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
2002
NAICS
code

Industry

Education and health services-Continued
Homes for the elderly
Other residential care facilities
...
Social assistance
Individual and family services
Child and youth services
Services for the elderly and disabled..
Other individual and family services...
Emergency and other relief services
Community food services
Community housing, emergency, and

relief services

„

Vocational rehabilitation services
Child day care services

623312
6239
624
6241
62411
62412
62419
6242
62421

62422,3
6243
6244

Leisure and hospitality.
Arts, entertainment, and recreation .
Performing arts and spectator sports
Performing arts companies
Musical groups and artists
,
Theater, dance, and other performing
arts companies
Spectator sports
Sports teams and clubs
Racetracks
Other spectator sports
Arts and sports promoters and agents
and managers for public figures
Independent artists, writers, and
performers
Museums, historical sites, zoos, and
parks
Museums
Historical sites
Zoos, botanical gardens, nature
parks, and similar institutions
Amusements, gambling, and recreation .
Amusement parks and arcades
Amusement and theme parks
Amusement arcades
Gambling industries
Casinos, except casino hotels
Other gambling industries
Other amusement and recreation
industries.
Golf courses and country clubs
Skiing facilities
Marinas
Fitness and recreational sports
centers
Bowling centers
All other amusement and recreation
industries
Accommodations and food services
Accommodations.....
Traveler accommodations and other
longer-term accommodations...
Hotels and motels, except casino
hotels
Casino hotels
Miscellaneous traveler
accommodations...
Bed-and-breakfast inns
.
All other traveler accommodations
and rooming and boarding houses
RV parks and recreational camps....

Apr.
2004

May
2004

Mar.
2005

2(5)4

302.6
166.5

302.9
167.9

309.3
164.3

309.9
165.6

2,146.9
855.8
152.5
395.6
307.7
131.5
28.1

2,155.9
881.7
154.2
399.5
308.0
132.1
27.8

2,193.9
876.9
156.5
407.2
313.2
130,9
28.6

2,212.7
885.5
156.7
413.1
315.7
131.5

103.4
381.2
778.4

104.3
380.4
781.7

102.3
387.1
799.0

May
2004

Mar.
2005

2005'

266.0
135.2

266.9
136.8

272.9
133.3

272.7
134.8

1,859.3
739.4
127.5
355.8
256.1
104.1
22.7

1,901.1
755.9
131.6
363,4
200.9

27.9

1,850.6
734.6
126.3
351.9
256.4
104.3
23.0

102.5
23.6

1,920.0
764.4
132,4
369.7
262.3
103.5
23.2

103.6
390.6
805.1

81.3
331.5
680.2

81.4
330.9
684.9

78,9
336.4
706.3

80.3
339.9
712.2

2,223.0

807.3

12,351

12,684

12,321

12,662

12,934

10,815

11,137

10,809

11,126

1,794.3

1,915.1

1,654.6

1,791.9

1,894,1

1,523.1

1,6414

1,364.2

1,527.8

711
7111
71113

370.1
118.2
42.8

377.3
118.1
39.8

341.9
109.0
38.3

370.8
115.5
43.3

376.5

305.0
98.9
36.6

313.5
99.9
33.6

281.0
02.7
33.4

311.4
99.0
38.4

71111,2,9
7112
711211
711212

75.4
124.6
59.7
42,4
22.5

78.3
130.7
60.6
45.2
24.9

70.7
105,1
47,5
37.8
19.8

72.2
129.2
62.6
45.3
21.3

62.3
108.7

66.3
115.5

59.3
90.2

60.6
114.7

38.2

41.4

33.8

416

86.4

86.8

85.3

83.3

66.4

67,3

66.0

65.2

40.9

41.7

42.5

42.8

31.0

30.8

32.1

32.5

115.6
67.9
14.3

120.5
69.0
15.6

108.3
64.4
11.8

115.2
65.5
13.8

121.6

89.8
52.5

94.5
53.1

84.4
50.1

90.9
511

25.7

28.2

24.8

28.1

1,396.0

1,128.3
142.0
127.9

1,233.4
170.1
155.7

1,028.8
108.2

95.3

1,125.5
139.4
124.9

120.7
88.1
32.6

121.5
88.8
32.7

117.8
85.3
32.5

116.7
85.6
33.1

865.6
253.6

941.8
309.9
7.2
28.4

802.8
184.5

52.3
20.7

257.8
19.6
24.5

435.7
61.0

402.1
67.5

416.4
65.5

71

711219
7113,4
7115
712
71211
71212

33.4

35.9

32.1

35.9

713
7131
71311
71312
7132
71321
71329

1,308.6
152.9
135.5
17.4
137.4
99.1
38.3

1,417.3
181.5
163.8
17.7
138.2
38.4

1,204.4
125.1
108.7
16.4
135.5
97.7
37.8

1,305,9
157.5
138.9
18.6
136.3
97.9
38.4

7139
71391
1392
71393

1,018.3

1,097.6

943.8

307.9

365.4

229.9

1,012.1
307.2

26.1

§8.5
26.4

23.9

29.0

10.0
34.3

30.1

22.1
23.1

1394
1395

465.7
79.2

494.0
71.2

455.5
79.0

471.0
77.0

410.0
68.3

110.4

122.7

94.5

102.9

71213,9

1399
2

99.8

867.4

88.5

99.6

75.7

83.6

10,556.9 10,768,5 10,666,5 10,870.4 11,040.1

9,292.1

9,495.3

9,414.4

9,598.1

1,498 5

1,544.8

1,519.7

1,539.0

721

1,750.0

1,797.5

1,768.6

1,792.0

7211

1,709.8

1,747.2

1,737.7

1,754.2

1,468.0

1,506,2

1,495.5

1,508.1

72111
72112

1,399.3
275.5

1,433.7
277.4

1,426.3
276.1

1,431.9
286.1

1,197.4

1,232.5

1,223.4

1,226.7

72119
721191

35.0
15.8

36.1
16.4

35.3
16.1

36.2
17.3

29.2

30,4

28.6

29.1

721199,30
7212

19.2
40.2

19.7
50.3

19.2
30.9

18.9
37.8

30.5

38.6

24.2

30.9

See footnotes at end of table.




Production workers1

AH employees

92

1,834.1

May
2005 P

11,373

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on tionfarm payrolls by detailed industry—"-Continued
(In thousands)

industry

NAICS
code

Production workers1

A! employees

2002

Apr.
2004

May
2004

Mar.
2005

2005 P

Unsure and hospitality-Continued
RV parks and campgrounds............... 721211
Recreational and vacation camps..... 721214

22,4
17.8

29.3
21.0

19.2
11.7

24.1
13.7

722
7221
7222
722211
722212

8,806.9
4,199.0
3,723.5
3,234.5
131.1

8,971.0
4,266.2
3,794.7
3,287.2
132.1

11,897.9
4,269.9
3,742.2
3,261.7
129.1

9,078.4
4,345.8
3,828.4
3.326.9
1314

357.9
516.7
376.3
140.4
367.7

375.4
538.6
382.9
155.7
371.5

351.4
520.2
380.1
140.1
365.6

370.1
536.0
389.4
146.6
368.2

Food services and drinking places
Full-service restaurants -..
Limited-service eating places
Limited-service restaurants. . .
Cafeterias
Snack and nonalcoholic beverage

bars .
..,.,
722213
7223
Soeciai food services
72231
Food service contractors
Caterers and mobile food services....... 72232,3
Drinking places, alcoholic beverages ....... 7224

Other services,...,..

Linen and uniform supply......................
Linen SUDDIV ....................................
Industrial launderers...........................
Other personal services . . . . . . . . .
Pet care services, except veterinary....
Parking lots and garages......................
AH other oersonal services....................




Mar.
2005

Apr.
2005 P

17.9
12.6

23.4
15.2

15.8
8.4

20.7
10.2

7,793.6
3,777.4
3,255.7
2,826.4
119.8

7,950.5
3,845,6
3,3213
2,877.7
120.4

7,894.7
3,845.8
3,287.9
2,867.1
118.2

8,059.1
3,915.6
3,364.9
2,925.9
120.2

309.5
446.3
327.3
119.0
314.2

323.2
465.7
332.9
132.8
317.9

302.6
447.7
328.9
118.8
313.3

318.8
462.0
336.9
125.1
316.6

May
2005 P

:
—
—

5,451

5,441

5,470

5,488

4,421

4,449

4,476

4,500

1,232.8
897.0

1,236.0
892.0

1,242.8
897.9

1,245.9

965.2
703.2

967.4
706.8

992.0
718,3

997.8
722.5

81111
811111
811112
811113

404.1
313.3
19.4
28.5

403.4
311.7
19.2
29.1

397.6
310.0
18.8
26.4

400.1
313.5
18.2
26.1

303.9
238.3
14.5

303.7
237,2
14.8

308.0
242.1
14.1

309,4
244.2
13.6

811118

42.9

43.4

42.4

42.3

30.9

310

317

319

$1112
811121

260.8
225.6

262.4
227.0

260.2
227.9

260,5
227.6

202.9
176.1

205.0
178.0

207.9
182.8

208.2
182,3

811122

35.2

35.4

32.3

32.9

26.3

27.0

25.1

25.9

81119
811192

229.6
147.6

231.2
149.3

234.2
149.7

237.3
1515

196.4
128.9

198.1
130.1

202.4
1317

204.9
133.7

—

8111918

82.0

81J

$4.5

85.3

67.5

68.0

70.7

712

-

8112
811212

101.9
46.0

98.8
43.5

101.3
48.1

99.5
46.7

79.0
36.7

76.1
34.6

810
40.4

78,8
39.2

-

55.9

55.3

53.2

52.8

42.3

41.5

40.6

39.6

—

157,5

157.7

162.1

164.4

1217

122.2

128.7

131.1

79.3-

79.6

812
8121
81211
812111,2
812113
81219
8122
81221
81222
8123
81231
81232
81233
812331
812332
8129
81291
81292
81293
81299

Membership associations and
organizations. ..................................... 813
See footnotes at end of table,

«...

May
2004

5,423
811
8111

repair and maintenance .................. 811211,3,9
Commercial machinery repair and
maintenance
. ............................. 8113
Household goods repair and
8114
maintenance
Personal and laundry services ....................
Persona! care services
Hair, nail and skin care services
Barber shops and beauty salons ..
Nail salons
Other personal care services.
Death care services
Funeral homes anfi funeral services ....
Cemeteries and crematories
Dry-cleaning and laundry services..........
Coin-operated laundries and dry
cleaners..................................................
Dry-cleaning and laundry services,
exceot ooin-ODerated

9,206.0

Apr.
2004

1,232.4
394.5

,.

Repair and maintenance
Automotive repair and maintenance
Automotive mechanical and electrical
repair
...
General automotive repair
Automotive exhaust system repair.....
Automotive transmission repair
Other automotive mechanical and
elec repair ..
Automotive body, interior, and glass
repair
..............
Automotive body and interior repair...
Automotive glass replacement
shops
,
........
Other automotive repair and
maintenance........
Car washes . ....
...
Auto oil change shops and ail other
auto repair and maintenance
....
Electronic equipment repair and
maintenance
Computer and office machine repair.

May
2005 P

78.5
1,276.8
567.8
466.8
439.8
27.0
101.0
136.S
104.8
32.0
3514

I
mm

1,290.7
578,2
473.2
445.4
27.8
105.0
138.5
106.4
32.1
352.1

39,2

39.9

39.5

39.6

185.6
126.6
73.4
53.2
220.8
39.3
44.0
101.0
36.5

187,6
128.4
75.0
53.4
225.5
40;7
44,7
101.5
38.6

180.3
129.6
75.5
54.1
219.4
413
36.9
97.8
43.4

182.7
129.8
75.6
54.2
2219
419
35.4
99.8
44.8

2,913.7

2,922.6

2,932.5

2,936.1

—

-

«...

—

—

810

1,295.4 1,273.7
573.S
567.0
464.9
472.3 ,
438.0
445.1
26.9
27.2
102.1
101.3
137.9
140,4
105.3
109.1
28.8
35/1
349.4
355.8

4,520

1,302.5

-

-

mm

m m

" " "

61.3

62.3

64.0

65.4

1068.3
489.1
402.5
379.5

1.084.6
493.4
406.9
383.9

1068.7
489.7
4018
380.0

1086.4
500.8
408.7
385.7

86.6
102.0
77.5
24.5
293.5

86.5
104.9
77.6
27.3
298 0

87.9
1013
810
20.3
289.4

92.1
102.6
78.4
24.2
292.7

33.1

34.2

33,2

33.2

158.4
102.0
40.5
183.7

160.6
103.2
62.9
40.3
188.3

156.0
100.2
60.8
39.4
188.3

158.9
100.6
60.6
40.0
190.3

35.9
89.7

36.8
90.2

30.9
87.7

29.8
89.4

615

—

—
—
mm

mm

2,939.1

2,387.6

2,396.8

2,414.9

2,416.0

ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by defailed industry—Continued
(In thousands)

Industry

Other services-Continued
Grantmaking and giving services.
Grantmaking foundations......
Voluntary health organizations
Other grantmaking and giving
services
Social advocacy organizations
Human rights organizations
Environment, conservation, and
other social advocacy organizations.
Civic and social organizations
Professional and similar organizations ....
Business associations
Professional organizations
tabor unions and similar labor
organizations................... ,„„, „ .,
Miscellaneous professional and
similar organizations
Government
Federal
;
Federal, except U.S. Postal Service
Federal hospitals
Department of Defense
U.S. Postal Service3.
Other Federal government
State government
State government education
State government, excluding education .
State hospitals
State government general
administration
«...
«..
Other State government
Local government
....
Local government education
Local government, excluding education .
Local government utilities
Local government transportation
Local hospitals
Local government general
administration
Other local government

2002
NAICS
code

2004

May
2004

Mar.
2005

2(5)4

2uO5

8132
813211
813212

126.5
48.8
36.8

125.7
48.9
36.4

129.3
51.0
35.2

131.6
52.6
35.9

813219
8133
813311

40.9
180.6

40.4
178.5

43.6

42.9

43.1
180.8
42.0

43.1
181.3
41.9

813312,9
8134
8139
81391

137.0
401.0
507.5
125.7
70.6

135.6
406.0
514.3
127.3
71.2

138.8
408.5
515.8
132.6
71.8

139.4
409.2
515.9
134.4
715

137.4

139.8

137.5

173.8

178.4

171.6

172.5

22,007
2,742

21,987
2,726

22,138
2,709

22,147
2,714

22,145
2,719

1,958.9
243.9
465.7
783.1
1,223.3

1,944.5
244.2
466.4
781.7
1,208.0

1,932.3
248.7
469.6
776.9

1,938.2
248.6
468.9
776.2
1,194.5

1940.3

5,119
2,391.5
2,727.7
347.8

5,016
2,278.6
2,737.0
348.6

5,168
2,432.5
2,735.7
353.1

5,174
2,431.1
2,743.1

5,071
2,322.6
2,748.5

1,847.9
532.0

1,857.3
531.1

1,853.5
529.1

1,858.4
532.0

14,146
8,079.5

14,245
8,118.0
6,126.9

14,261
8,177.1
6,084.2

236.3

14,259
8,150,4
6,108.4
237.1
245.9
662.9
3,927.9
1,034.6

81393
81394,9

6,066.9
235 3

1,187.7

248.3
654.3

248.1

656.0

236.5
246.0
662.5

3,921.3
1,007.7

3,964.8
1,021.7

3,908.2
1,0310

Mar.
2005

Apr.
20050

93.0
36.1

96.1
37.9

98.1
39.1

29.4

28.7
142.8
34.1

317
145.0
33.0

32.2
144,7

112.0

339.6
369.7

108.7
342.8
377.8

88.2

90.2

98.6

112.1
345.8
387.0
99.9

45.9

46.0

47.3

47.7

95.1

97.0

100.7

96,7

140.5

144.6

1415

142.7

109.0

137.6

May
2004

94.0
35.8

143.9
34.9

81392

1
Data relate to production workers m natural resources and mining and
manufacturing, construction workers in construction, and nonsupervisory
workers in the service-providing industries.
2
Excludes nonoffice commissioned real estate sales agents.
3
Includes rural mail carriers.
~ Data not available.




Production workers1

All employees

345.3
388.1

May
2005 P

32.6

778.9

352.7

14,355
8,180.5
6,174.8

P = preliminary.
NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data am introduced with the release of
January 2006 estimates, all unadjusted data from April 2004 forward
are subject to revision.

94

ESTABLISHMENT DATA
WOMEN EMPLOYEES
NOT SEASONALLY ADJUSTED
B-13. Women employees on nonfarm payrolls by major industry sector and selected industry detail
(In thousands)
Mar.
2004

Apr.
2004

Feb.
2005

Mar.
2005

Apr.
2005 P

Total nonfarm.

63S484

63,830

64,136

64,456

64,848

Total private............

50,798

51,150

51,445

51,709

52,109

Goods-producing . . . . . . . .

5,067

j

5,086

5,052

5,076

5,091

Mature resources and mining ..
Mining ...........................................

79
71.8

j

79
71.8

77
70.2

78
70.8

79
72.1

Construction

813

826

832

844

859

4,175

4,181

4,143

4,154

4,153

Durable goods

2,260

2,266

2,254

2,256

2,255

Nondurable goods......................

1,915

1,915

1,889

1,898

1,898

58,417

58,744

59,084

59,380

59,757

45,731

46,064

46,393

46,633

47,018

10,160

10,193

10,269

10,280

10,333
1,718.1

industry

1

Manufacturing

........

Service-providing
Private service-providing
Trade, transportation, and utilities .
Wholesale trade................................

1,695.6

1,704.5

1,708.7

1,712.7

Retail trad©

7,203.7

7,231.8

7,279,9

7,281.7

7,324.2

Transportation and warehousing

1,113.7

1,109.9

1,131.5

1,136.8

1,143.3

146.5

146.6

149.1

149.0

147.8

Utilities
information
Financial activities
........................
Finance and insurance
Real estate and rental and leasing
Professional and business services .............
Professional and technical services
Management of companies and enterprises.
Administrative and waste services ................
Education and health services
Educational services
Health care and social assistance
Leisure and nospStaSSty
....
Arts, entertainment, and recreation ..
Accommodations and food services .
Other service®.
Government
...
Federal
State government.
Local government.

1,376

1,373

1,364

1,366

1,371

4,811
3,868.3
942.8

4,818
3,873.6
944.0

4,872
3,900.8
971.0

4,873
3,897.6
975.8

4,896
3,9014
7,580
3,358.4

7,279
3,275.8
866.5
3,136.5

7,373
3,271.7
8710
3,229.9

7,469
3,362.8
868.0
3,238.6

13,072
1,746,4
11S325.3

13,122
1,756.0
11,365.9

13,322
1,782.6
11,539.0

13,368
1,793.0
11,575.1

13,422
1,802.0
11,620.0

6,264
775.7
5,488.6

6,400
804.2
5,595.7

6,316
754.7
5,561.0

6,430
771.6
5,658.0

6,602
5,785.9

2,769

2,785

2,781

2,796

2,814

12,686
1,163
2,647
8,876

12,680
1S177
2,649
8,854

12,691
1S165
2,644
8,882

12,747
1,169
2,658
8,920

12,739
1172
2,656
8,911

1

873.6
3,347.9

816.2

levels. When more recent benchmark data are introduced with the
release of January 2006 estimates, ati unadjusted data from April 2004
forward are subject to revision.

1ncludes other industries, not shown separately.
preliminary.
NOTE: Data are currently projected from March 2004 benchmark
p s




994.3

7,520
3,360,8
869.3
3,289,9

95

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry
(In thousands)
Total
State and area

Annistorv-Oxford
Aubum-Opelika....
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals.
Gadsden
HuntsviHe
Montgomery
TU!

Alaska
Anchorage .
Fairbanks...
Arizona ,
Phoenix-Mesa-Scottsdale
Prescott
,
Tucson
Yuma
.........
Arkansas
Fayettevitle-Springdale-Rofieis .
Fort Smith
Hot Springs
„...„..,........„.
Jonesboro.
,
Uttle Rock-North Little Rock
Pine Bluff
California
,
BakersfieJd
Chfco
,
0 Centra
Fresno ..............
,
,
Hanford-Corcoran
Los Angeles-Long Beach-Santa Ana
Madera
Merced
,...,..„
Modesto.
,
Napa
Oxnard-Thousand Oaks-Ventura
Redding
Riverside-San Bernardino-Ontario
Sacramento—Arden-Arcad€i—Roseville .
Salinas....................................
San Dieflo-Cartsbad-San Marcos
San Francisco-Oakland-Fremont
San Jose-Sunnyvale-Santa Clara
San Luis Obispo-Paso Robfes
Santa Barbara-Santa Maria-Goieta
Santa Cruz-Watsonville
Santa Rosa-Petaluma
,
Stockton...
Vallejo-FafrfieW
Visalia-PorterviHe
Yuba City

Colorado
Boulder

Colorado Springs
Denver-Aurora
FortCdlins-LoveJand...
Grand Junction
Greefey ...„.,.,.,....,..,
Pueblo

Bridgeport'St'a foriNo
Danbury
Hartford-West Hartford-East Hartford.
New Haven
..*
Norwich-New London
Waterbury
«
•«•
Delaware.
Dover...
District of Columbia
.
Washington-Arlington-Alexandria.

Natural resources and mining

Apr.
2004

Mar.
2005

1,898.1
51.0
50.5

509.3
56.4
60.3
52.7
38.0
191.5
170.2
168.0
89.5

1,924.1
51.1
51.5
511.9
56.7
60.7
53.9
37.9
196.0
175.0
170.3
93.1

1,931.3
50.9
51.6
512.7
56.3
61.3
54.1
38.2
197.0
175.1
170.6
94.0

295.2
157.5
36.1

295.8
159.0
36.3

299.3
161.1
37-2

10.2
2,2
.9

2,371.9
59.4
1,673.5
55.8
360.6
47.1

2,451.5
61.6
1,728.7
57.8
371.1
54.9

2,463.0
62.3
1,736.8
58.5
373.1
52.2

8.2

1,157.7
187.4
116.6
36.8
48.6
326.3
40.8

1,166.9
192.4
117.4
38.6
48.2
327.4
40.9

1,171.5
193.6
118.0
38.3
48.6
327.9
41.0

14,465.8
211.2
71.9
41.0
285.0
32.6
5,454.6
33.1
56.3
151.1
60.2
286.1
63.5
1,148.2
854.8
126.3
1,257.1
1,955.5
858.0
99.8
169.4
92.7
183.6
200.0
124.0
105.0
38.7

14,671.9
213.8
72.1
42.2
288.1
33.6
5,485.8
33.8
58.1
155.2
60.4
286.9
65.1
1,167.4
861.7
125.6
1,267.6
1,964.9
850.9
99.8
170.5
93.6
184.3
202.9
125.7
103.7
39.1

14,719.1
216.1
72.7
43.3
289.8
33.8
5,499.5
33.9
58.4
156.9
60.8
287.4
65.3
1,172.2
864.0
126.5
1,272.3
1,970.3
855.8
100.5
172.1
94.5
184.9
204.4
127.1
104.2
39.6

2,166.3
157.5
246.1
1,161.3
126.9
55.1
73.6
54.7

2,202.1
160.4
249.9
1,171.6
127.9
55.2
76.0
55.8

2,208.0
160.7
252.0
1,179.4
128 8
55.4
76.9
55.7

1,645.9
407.5
68.8
537.7
271.9
132.7
68.5

1,650.7
406.4
68.3
536.5
267.9
131.7
68.2

1,667.2
408.9
68.5
543.1
272.7
133.8
69.0

418.6
61.0

426.4
63.3

428.9
64,2!

673.8
2,829.6

674.5
2,895.2

681.0
2,914.1

See footnotes at end of table.




Apr.
2004

Apr.
2005P

96

12.2

(

(

!

!

)

)

(

)

( ! )

c1)
{

>

Apr.
2004

12.8

)

3.1

3J2

O
()
!

10.1
2.5
.8
1

Construction

Apr.
20W

12.8

])
1
)

(!)!
()
()
{( )
( >
1>

(!)
•

Mar.
2005

10.3
2.5
.9

9.0

9.1

)

14,8
9.5
2,1

16.1
10.1
2.5

185.7
3.3
136.1
7.2
23.6
4.1

202.9
3,7
150.2
7.4
25.6
4.9

206.4
3.8
152.6
7.5
25.8
5.0

1.5

7.3

51.3
9.4
6.5
2.4
2.2
17,5
1.5

51.3
10.1
6.4
2.4
2.1
17.0
1.5

52.6
10.3
6.5
2.4
2.2
17.2
1.6

21.8
8.3

824.9
15.1
3.7
1.7
19.7
1.3
227,2
2.6
3.2
12.0
4.4
16.7
4.6
107.1
69.3
6.6
85.6
109.0
40.8
6.9
9.8
5.2
13.0
15.2
11.5
6.6
2.7

863.4
15.5
3.8
1.6
21.1
1.4
233.5
2.5
3.6
12.6
4.5
17,8
4.7
115.8
69.6
7.2
89.3
112.2
39,5
7.4
9.6
5,5
13.4
15.1
13.0
6.3
2.6

874.1
15.9
4.0
1.6
21.6
1.5
235.4
2.6
3.7
12.9
4.6
18.1
4.9
116.4
70.7
7.2
90.1
112.4
39.8
7.4
9.9
5.6
13,8
15.7
102
6,4
2.7

147.7
6.4
15.6
84.5
9.7
5.3
8.3
3.7

152.4
6.4
16.0
86.6
9.9
8.4
9.6
3.9

155.3
6.4
16.2
87.4
10.0
5.5
10.0
3.9

64.2
14.2
( )
20.5
11.3
4.5
2.9

63.3
13.1
(•)
18.8
11.1
4.3
2.7

14.3
(2)
20.2
12,1
4.6
2.9

25.8
3.2

26.8
3.2

27,4
3.6

12.5
174.4

11.9
178.2

12.3
181.9

(V

>

22.2
8.1

(V4.4

21.7
8.3
(!)!1
C )

)

0))

)

>
1.2
.7
.2
.4
1.4
.2

)
1.2
.7
.2
.4
1.4
.1

15.4

13.9

(!)
(Of )

0)

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1.2
.7
J2
.4
1.4
.2

(J)1
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!

.2

4.7

4.7

4

(J)
(1>

15.3
9.5
2.3

7.3

2.3

( )

(!)

105.4
1.7
2.5
32.7
3.9
4,1
3.5
2.1
6.7
14.1
9.1
9,4

1.5
1

7.0

()

106.4
1.7
2.5
33.0
4.0
4.2
3.5
2.1
6.7
14.7
9.3
9.2

2.2

(!)

t1)

102.1
1.6
2.4
34,3
4.0
3.5
3.2
1.8
6.8
11.6
9.3
8.6

1.3
1

(V
!

Apr,
2005P

2.0
<)

(

Mar.
2005

!

(!)
()
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()
(J)
!
o
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15.5

(!)

2

( )

(J)
(!)
O)
1
)

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(in thousands)
Manufacturing
State and area

Apr.
2004

Alabama
Anniston-Oxford
Aubum-Opelika
Birmingham-Hoover...............................
Decatur
Dothan
Rorence-Muscfe Shoals........................
Gadsden
Humsville
Mobile...
Montgomery
,.......,.
Tuscaioosa

289.7

8.2
6.8
43.0
13.6
8.3
7,4

,
........!

Connecticut...
..„„,........„..
Brldgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford
New Haven
Norwich-New London .............................
Waterbury

380.4
9.9
8.5
111.9
10.3
15.2
10.9
7.0
30.5
38.3
304
15.5

31.3
1.1
.5
13.7
.4
1.0
.7
.5
2.2
2.4
2.6
1.0

30.9
1.1
.5
13.3
.4
.9
.7
.5
2.2
2.4
1.0

.4
.9
.7
.5
2.2
2.4
2.6
10

6.8
4.9
.6

6.9
4.9
.6

30.7

1.1
.5
13,3

11.4
1.9
.5

10.0
2.0
.6

59.5
35.6

58.9
35.7
7.2

60.2
35.9

6.8
4.9

7.2

7.3

.6

174.8
3.0
130.6

176.6
3.6
130.2
3.3
28.3
3.2

176.0
3.7
130.5
3.3
28.1
2.3

456.3

474.9

474.5
9.4
348.7
11.5
59.0
10.4

49.0
.5
36.9

46.0

.7
7.5
1.1

.7
7.2
1.2

45.7
.5
34.0
.7
7.2
12

202.5
33.6
28.2
3.5
8.8
25.0
7.2

202.5
33.6
28.4
3.5

239.8
44.2
23,0

241.5
45.3
23,1
7.4

20.2

20.2

20.1

2.4
1.7

2.5

8.9

7.2
9.5

9.6

25,2
7.3

67.9
7.4

240.9
44.9
22.9
7.3
9.5
67.0
7.4

.7
9.5
.2

1,527,8
12.3
3.9
2.3
26.0

1,528.0
12.5
3.9
2.6
26.3

2,708.6
40.4
13.6

2,737.8
41.1
13.7
10.8
55.2
5.2
1,035.8
5.1
11.0
31.7

2,739.5
41.6
13.8
11.4
55.9
5.2
1,037.6

3.3
28.3

1.523.1
12.7
3.7
2.5
25.7
3.4
671.5
3.4
10.4
21.0
10.8
38.6
2.S
120.3
45.7
7.2
104.0
143.8
169.5

Greeley
Pueblo

378.9
10.0
8.4
112.2
10.3
14.8
10.9

Apr.
2005P

Mar.
2005

10.1
1.9
.5

California
Bakersfield
..................................
Chico
B Centra
Fresno ...................................................
Hanford-Corooran
Los Angeles-Long Beach-Santa Ana ....
Madera
...........................................
Merced
.............................................
Modesto.................................................

.............

43.7
13.5

374.7
9.5
7.8
111.2
10.4
14.7
11.0
7.0
30.1
38.1
30.6
14,8

information
Apr.
2004

29.6
14.1
17.4
14.4

203,8
33.6
28.3

Boulder
Colorado Springs
Denver-Aurora
...................
Fort Collins-LoveSand
Grand Junction .......................................

7.5
6.8

Apr.
2005P

5.6

Arkansas
FayettevHIe-Springdale-Rogeis .............
Fort Smith ..............................................
Hot Springs
Jonesboro...
Uttte Rock-North little Rock
Pine Bluff...............................................

ColOHMto

295.8

6.8

Mar.
2005

29.3
14.4
16.9
13.2

2.4

Napa

294.9
7.6

Apr.
2004

8.3
7.3
57

Vuma

Oxnard-Thousand Oaks-Ventura .........
Redding .................................................
Riverside-San Bernardino-Ontario ........
Sacramento—Arden-Aicade—flossville
Salinas..................................................
San Diego-Carlsbad-San Marcos..........
San Francisco-OakJand-Fremont ..........
San Jose~SunnyvaIe~Santa Clara .........
San Luis Obispo-Paso Robles...............
Santa Barbara-Santa Maria-Golefa . . . . .
Santa Cruz-Watsonvslte
Santa Rosa-Petaluma ..........................
Stockton.................................................
Vallejo-Fairfiefd......................................
Visalia-Porterviile
Yuba City...............................................

Trade, transportation, and utilities
Apr.
2005P

44.0
13.4
8.3
7.5
5.8
30.2
14,1
17.5
14.7

iUMka
Anchorage
Fairbanks
Arizona ....................................................
Flagstaff
Phoenix-Mesa-Scottsdale......................
Prescctt
Tucson...................................................

Mar.
2005

3,5
9.0
25.0
7.5

9.2
336.5
10.5
57.1

9.0

9.8
54.3

3.9

3.9

4.9

665.2
3.3
11.2
22.5
10.4
38.2
2.8
120.2
48.4
6.7
103.6
143.3
168.3
6.2
13.0
7.4
23.7
20.2
9.2
11.3
2.7

664.1
3.3
11.4
22.8
10.5
38.1
2.8
120.4
48.4
6.6
103.4
143,9
6.3
13.2
7.5
23.7
20.2
9.2
11.3
2.8

1,032.3
5.0
10.8
31.2
8.8
52.4
13.4
245.9
144.1
24.8
211.5
353.8
128.5
19.6
27.2
18.2
33.7
46.3
26.0
21.9
7.7

153.5
19.0
19.8
71.4
14.5
3.4
10.1
4.2

153.2
18.6
20.3
72.9
14,4
3.4

153.5
13.6
20.3
72.8
14.6
3.4
9.7
4.0

197.6
42.1

198.5
41.1

6.3
13.3
•
7.2
23.9
19.7
9.1
11.3
2.9

me

9.7
4.0

6,9
30.4
37.9
30.3
15.4

348.4
11,6
58.9
12,0

67.1

7.3

480.0

2.5
1.4
.4
4.5

2.7

.5
34.3

.7

489.7
2.7
1.5
.4
4.5

.7
9,5
.2

493.1

2.7

.3

.3
247.3
,6
1.4

15
.4
4.4
.3
250.4
,6
14

2.6

2.6

1
6.8
1.1
13.7
20.3
2.3
36.4
73.5
34.1
1.5
4.0
2.0
4.1
2.7
16
12
.4

.7
6,8
10
13.9
20.3
2.3
36.6
73.6
34.4

77.2
9.1
9.4
49,0

77,2
8.9
9.3
49.2
2.3
.9
10
.8

9.0

9.0

52.3
13.9
252.1
147.1
25.1
213.0
352.4
127.0
19.4
28.2
18.2
34.0
47.0
26.2
21.4
7.9

52.2
13.8
252.6
147.6
25,2
213.2
352.8
127.7
19.4
28.4
18.2
33.9
47.2
26.1
21.5
8.0

401.6
21.8
38.6
229.9
21.1
12.3
13.7
10.5

406.5
22.7
39.1
230.9
21.4
12.2
13.8
10.6

408.0
22.6
39.0
232.2
21.5
12.2
14.0
10.6

81.9
9.4
110.2
52.0
2.4
1.0
1.1
.8

303.8
73.8
15.6
88.0
49.4
21.7
13.5

308,6
73.9
15,8
68,1
49.3
21.6
13.2

310.6
73.5
15.6
88.8
49.5
21.8
13.5

39.0
12.0
< >
11.3

1.1

11.8
8.7
2.1
1.1

11.0
32.1

(2)

9.5
.2

245.2
.6
1.5
2,6
.7
6.9
1.2
13.8
21.2
2.2
35.9
75.3
32.3
1.5
4.0
1.8
4.3
2.8
1.8
1.3
.4

5.0

2.5
1,6

1.6

15
4.0
2.0
4.1
2.8
16
12
.4

2.3
.9
10
.8

64.3
33.9
17.4
10.9

63.6
34.1
17.5
10.9

198.4
410
( )
63.9
34.4
17.5
10.9

Delaware
Dover

35.3
4.7

34.9
4.2

33.5
4J

79.5
12.6

79.9
13.1

80.7
13.1

7.0

6.6

.7

,5

6.8
.5

District of Columbia
Washington-Arfington-AJexandria .........

2.4
65.7

2.4
65.7

2.4
65.9

28.0
390.3

27.6
400,7

27.9
401.7

24.0
107.9

22.9
107.7

23.2
108.0

2

I)

2

C)

2

See footnotes at end of table.




97

2

8.6
2.1

39.1
12.0
2

39.3
12.0
( )
11.7
8.7
2

( )

2.1
1.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
Financial activities
State and area

Apr.
2004

Alabama
Anniston-Oxford
Aubum-Opelfka
Birmingham-Hoover
Oecatur
,
Dothan
Florence-Muscle Shoals.
Gadsden
Huntsvilte
Mobile
Montgomery
....
Tuscalocsa

96.2
1.4
1.5
40.0
2.3
2.4
2.0
1.4
5.8
9.1
10.4
3.2

Alaska
Anchorage .
Fairbanks...

Mar.
2005

Professional and business services
Apr.
2005P

95.0
1.5
1.5

Apr.
2004

192.1

5.4
4.9
64.2

4.6

41.8
23.5
17.8

41.9

6.2

6.7

14,6
9.9
1.4

22.6
16.6
1.9

22.8
16.6
2.1

140.1
1.9
17.9
1.5

167.8
1.6
141.1
1.9
18.2
1.5

333.4
3.4
269.6
4.0
42.7
3.3

50.8
7.0
3.9
1.5
1.9
19.8
1.4

51.5
7.1
4.1
1.5
1.9
19.6
1.4

51.7
7.1
4.1
1.5
1.9
19.7
1.4

895.3
8.7
4.1
1.4
13.8
1.3
372.8
.8
1.6

916.5
8.6
4.3
1.4
14.0
1.2
378.3
.8
1.7

6.0
2.4
24.0
3.3
45.0
59.5
6.0

6.2
2.5
23.6
3.5

81.6
153.8

10.5
3.3

14.5
9.8
1.4

14.5
9.7
1.4

166.6
1.6

Phoenix-Mesa-ScottsdJile.
Prescott
, ,
Tucson..
Yuma

164.3
1.6
137.8
1.9
16.4
1.4

Arkansas
.
Fayetteville-SpringdaJe-Rogers
Fort Smith
Hot Springs
...
jonesboro
,
............
Little Rock-North Little Rock
Pine Bluff

Connecticut
Bridgeport-Starnford-Norwalk
Danbury
.
Hartford-West Hartford-East Hartford.
New Haven
Norwich-New London
Waterbury
Delaware.
Dover...
District of Columbia
Washington-Arlington Alexandria .

36.6
2.3
2.3
2.1
1.4
6.0
9.6

5,1
5.1
3.5
3.9
39.9
21.9
17.1

2.8
59.2
4,7
7.2

5J2

4.6
3.9
3.7

Apr,
2005P
197,1
4.4
2.8

195.5
4.4
2.8
59.5

60.0
4,7
7.3

4J
7.2
4.8

6.8

6.9

18.0

13.0
20.8
19.4

13.9
20.5
20.0

14.1
20.8
20.1

6.8

6.4

6.7

6.8

23.1
18.8
2.1

34.8
20.7
4.1

35.9
21.8
4.3

36.2
21,9
4.3

344.5
3.5
278.1
4.2
43.2
3.4

347.7
3.5
280.3
4.2
43.7
3.4

258.3

270.8
7,0
180.2
8.4
49.3

272.5
7.0

108.9
28.5
10.8
2.7
3.5
40.2
2.7

108.2
11.2
2.8
3.4
41.4

108.6
29.9
11.2
2.8
3.4
41.2

2.6

2.6

916.0
8.8
4.3
1.4
13.9
1.2
377.2
.8
1.7

2,074.2
21.6
5.5
2.0
27.4
1.4
814.2

2,126.3
21.5
5.4
2.2

2,129.4
21.9
5.4
2.2

27.6

27.6
1,3
832.6
3.0
3.4

6.2
2.5
23.6
3.3
46.2
60 7
6.2

14.0
5.4
37.0
6.0
124.4
98.0
11.7

81.8
158.7

204.6

206.3

321.9
164.3

10.1
9.6
5.7
4.3
1.5

81.5
158.9
35.2
4.7
8.5
3.6
9.7
9.5
5.8
4.5
1.7

321.4
162.8
8.7
22.4
9.2
19.6
19.2
11.7
9.1
2.7

154.1
7.5
17.1
97.9
5.5
3.1
4.2
2.3

157.4
7.7
17.7
99.3
5.6
3.1
4.1
2.3

156.9
7.8
17.8
99.7
5.7
3.1
4.2
2.3

297.7
26.8
35.2

301.5

183.2
14.0
5.1

139.7
41.0

140.3
42.0

140.5
42,0

196.6
69.0

34.9
4.6
8.4
3.6

46.1

60.7
6.2

35.4
4.7
8.5
3.6
9.7
9.5
5.9
4.5
1.7

2.6
3.3

9.0
22.6
8.9
19.5
18.4
11.7
9.5
2.8

6.6
4.4

29.5

1.3
831.8
2.9
3.4
14.7
5.5
38.0

6.4
127.6
98.1
11.2

9.3
19.5
19,7
11.8
9.3
2.7

142.6
16J
13.9
6.9
7.3
42.2
5.9

145.6
17.4
13.8
7.0
7.4
42.2
6.1

146.0
17.4
13.8
7,0
7.4
42.2
6.1

1,570.3
21.6
12.3
2.5
36.0
3.3
604.3
5.5
5.5
19.3
8.0
27.6

1,590.6
22.0
12.7
2.7
35.7
3.4
610.7
5.8
5.4
19.0
7.8
28.3
10.5
118.3
86.3
12.1
123.2
224.9

1,595.4
22.2
12.6

96.9

96.5

10.7
20.1
11.5
22.9
25.2
15.8
9.2
5.2

10.9
20.2
11.5
23.0
25.1
15.8

223.2
16.7
23.9
119.3
13.6
7.8
7.7
9.4

223.9
16.9
24.2
120.0
13.5
7,8
7.7
9.4

10.4
119.5
84.2
12,4
123.3
218.7
95.1
10.6
19.7
12.0
22.6
24.4
15.4

9.6
5.0

115.9
13.2
7.5
7.3
9.2

195.4

197.6
69.2

6.7
4.9

16.6
23.7

269.5
59.6
<>
83.6
62.7

2.7
35J
3.5
61&0
5.7
5.5
19.4
7,8
28,4
10.7
119.1

86.6

12,1

123.8
225.2

9.5
5.2

272,8
60.0

6.4

18.0
14.0

271.1
60.2
<2)
84.9
60.9
18.1
14.2

62.9
3.2

63.2
3.5

51.6
7.1

53.5
7.4

53.5
7.4

143.2
629.7

145.3
635.4

94.7
305.0

95.0
311.8

96.0
313.1

68.3

13.3
3.3
2.8

8.4
57.1
25.8
10.0
5.7

8.3
57,3
24.8

44.3
2.8

44.2
2.8

44.3
2.8

60.2
3.3

30.8
156.8

30.7
157.9

30.8
158.9

142.8
608.1

98

32.6

181.5

8.5
49.6
6.4

186.9
14.0
5.2

13.4
3.3
2.8

68.3

5.5

4.8

6.5

184.6
13.8
5.2
6.7
4.8

67.3

< )

14.9
38.3
6.5
128.5
98.4
11.5
205.0
321.7
164.1
8.7

6.7
171.7
8.1
47.1
58

217.6

14.3
3.3
2.8

< )

2

23.6

304.6
27.7
37.0

27.6
36.2

67.4

2

See footnotes at end of table.




5.0
4.7
60.8

Mar.
2005

46
6.7

Arizona

Colorado
Boulder
,
Colorado Springs
Denver-Aurora
Fort Coltins-Loveland
Grand Junction
GreeJey
.
Pueblo

Education and health services
Apr.
2004

205.1

195.1

B Centra
Fresno
,...,
,
Hanford-Corcoran
,
Los Angeles-Long Beach-Santa Ana
Madera
Merced
,
Modesto
,
Napa
Oxnard-Thousand Oaks-Ventura
..
Redding
„
„.,....
Riverside-San Bernardino-Ontario
Sacramento—Arden-Arcade—Roseville .
Salinas
San Diego-Carlsbad-San Marcos
San Francisco-Oakland-Fremont
San Jose-Sunnyvale-Santa Clara
San Luis OWspo-Paso Robles
..„
Santa Barbara-Santa Maria-Goleta ....
Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton
...
Vallejo-Fairfield
.
Visalia-Porterville
,
Yuba City
...

Apr.
2005P

203.5
5.4
4.9
63.7
5.3
4.7
3.9
3.6

95.3
1.5
1.5
38.5
2.2
2.4
2.1
1.4
6.0
9.7
10.7
3.3

California
Bakersfield

Mar.
2005

9.9

6J

8.6
58.6
25.3
10.2

2

2

< >
84.9
63.1
18,3
14.0

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry-—Continued
(§n thousands)
Leisure and hospital^
Apr.
2004

Mar.
2005

Government

(Dther services

Apr.
2005P

Apr.
2004

Apr.
2005?

Mar.
2005

Apr.
2004

Alabama
...
Anniston-Oxford
Aubum-Opefika
Birmingham-Hoover...............................
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsvjlie
Mobile
Montgomery
Tuscaloosa

160.1

160.1

162J

81.8

80.8

80.9

5.0
5.6

4.9
6.0

4.9
5.9

2.1
1.6

2.1
1.8

2.1
1.6

4tO

41.6

42.0

23.8

23.1

23.2

4.6
5.3
4.9
4.1

4.9
5.4
5.2
4.0

4.9
5.6
5.2
4.0

2.5

15.3
14.9
14.3

15.2
15.3
14.4

15.2
15.3
14.6

8.3

8.5

8.6

2.5
2.9
3.6
1.6
7.7
9.5
7.8
3.7

2.5
2.8
3.6
1.5
7.9
9.2
7.7
3.7

Alaska.......................................................
Anchorage
Fairbanks..............................

27.1
15.8

26.5
15.9

27.8
16.3

11.2

10.8

3.9

3.9

4.0

10.8
5.9
1.4

Arizona
Flagstaff
Phoenix-Mesa-Scottsdale .....................
Prescoti
Tucson..............................................
Yuma

244.7
11.3
163.3

253.2
11.8
168.9

255.0
12.4
169.3

89.2

63.5

7.5

7.5

8.0

1.8

39.7

41.3

41.5

14.9

4.9

5.6

5.5

1.5

89.8
1.8
64.6
1.8
14.9
1.7

Arkansas
Fayettevilfe-Springdaie-Rogers .............
Fort Smith
Hot Springs............................................
Jonesboro
little Rock-North tittle Rock
Pine Bluff

90.9
14.7

91.7
14.8

93.1
15.1

41.4

41.1

41.5

8.7
6.9
4.2

8.8
6.6
4.3

5.8
3.6
<2>
1.8

6.0

8.3
5.9
4.3
25.8

26.0

25.9

14.0

2.4

2.5

2.5

1.3

Cilltorala ..................................................
Bakersftetd
Chico
El Centre
Fresno
Hanford~Corcoran
Los Angeles-Long Beach-Santa Ana ....
Madera
Merced...................................................
Modesto...............................................
Napa....
Qxnard-Thousand Oaks-Venture ..........
Redding
Riverside-San Bernardino-Ontario
Sacramento—Arden-Aroade—Roseville

1,431.1
18.8

1,456.4
18.9

1,473.4
19.1

504.2

7.0
2.9

6.6
3.1

6.7
3.2

23.6

23.9

23.7

2.8
3.6
1.5
7.9
9.3
7.9
3.7

6.1
1.4
88.7

1.8

7.0
3.7
1.0

1.7
14.2
1.4
512.1
7.0

10.9

10.6

5.3
42.3
27.6
39.9
24.2

83.1
34.4
11.9

83.3
34.6
12.0

83.3
34.9
12.1

408.5
16.6
225.5
10.8
82.0
13.6

417.2
19.0
231.5
83.0
14.9

419.1
18.6
232.7
11.1
83.4
14.8

6.0
3.7

203.0
25.1
16.6

206.6
26.5
16.6

206.6
26.4
16.8

1.7

4.7
8.4

5.0
8.5

4.9
8.5

64.4
10.5

65.5
10.6

65.5
10.6

2,431.9
54.7
16.9
16.8
68.9
13.6
753.9

2,429.6
55.9
16.3
16.8
69.3
13.7
747.0

2,434.7
56.0
16.5
16.9
69.8
13.7
746.0

1.8
15.1

1.7

14.4

1.4
513.7

7.1
4.0
.9
10.7

2.5

2.8

2.8

.6

.4

.4

538.2

544.2

192.7

193.3

194.3

2.5
4.8

2.3
4.7

2.3
4.7

.8
1.6
6.0
1.8

.8
1.6
6.1
1.8

10,2

10.2

8.2

8.2

8.5

28.1

28.1

28.3

10.4

13.6

14.5

14.7

4.9

4.5
5.6

4.4
5.6

4.4
5.7

3.7
6.4
6.4
4.2
2.9
1.3

3.5
6.5
6.4
4.1
2.8
1.4

3.6
6.5
6.4
4.2
2.8
1.4

86.3
4.9
14.1
44.2
4.3
2.1
2.4

88.3
5.0
14.1
45.3
4.4
2.1
2.4

2.0

2.0

88.5
5.1
14.2
45.4
4.4
2.1
2.5
2.0

363.6
29.8
42.8
165.2
27.4
8.8
13.7
11.7

369.9
30.4
44.2
167.0
27.7
8.7
14.5
12.0

370,1
30.3
44.2
167.3
27.6
8.7
14.5
11.8

63.1
17.0

248.1
47.5

248.5
48.4

248.2
48.0

2.4
39.6
28.8

Colorado
Boulder
Colorado Springs
...Denver-Aurora
Fort Cotlins-LoveJand.............................
Grand Junction
Qreeley
Pueblo ................................................

248.4
15.3
29.0
117.1
14.8
6.5

257.1
16.2
29.0
116.7
14.8

6.2
5,9

6.4
6.5
6.0

254.5
16.4
29.8
118.5
15.2
6.5
6.6
6.0

Connecticut
Bridgeport-Stamford-Nofwalk................
Danbury
Hartford-West Hartford-East Hartford
New Haven
...,........„,
Norwich-New London
WatertKiry

124.4
31.7

122.6
30.5

5.1

5.0

37.0
19.8
12.2

36.5

4.4

4.4

126.7
31.9
5.1
37.9
21.6
12.0
4.6

Detamwira....................................................
Dover

38.2

38.4

40.1

6.7

7.9

8.1

2.5

2.3

District of Coigimbfa
Washington-ArSington-Alexandria...........

51.0
236.6

52.4
244.0

54.1
249.8

58.3
163.3

59.7
168.4




9.9

49.0
73.3
25.0

2.4
39.5
28.8

See footnotes at md of table.

42.7
12.7
217.1
223.6
29.8
221.3
310.0
95.2
22.3
36.6
21.6
30.2
40.1
26.1
30.0
11.2

9.7

4.8

2.5
39.2
28.5

11.2

9.8
14.0
25.2

49.0
73.0
24.9

7.2
117.2
78.2
20.5
147.7
197.3
68.7
14.9
22.1
11.6
20.2
17.5
12.9
7.7
3.5

209

9.7
14.1
25.4
10.0
42.9
12.9
216.4
223.0
29.6
219.8
309.2
84.7
22.3
36.7
21.7
30.2
39.9
25.7
30.3
11.1

4.7

6.9
116.5
78.7
20.2
145.1
194.7
67.3
14.5
21.5
11.0
19.9
17.5
12.3
7.6
3,4

Yuba City

9.4
13.5
25.2

47.1
73.7
25.1

6.5

San Diego-Carisbad-San Marcos..........
San Francisco-Oakiand-Fremont ..........
San Jose-Sunnyvale-Santa Clara .........
San Luis OWspo-Paso Robles
Santa Barbara-Santa Maria-Goleta.......
Santa Cruz-Watsonville
Santa Rosa-P@taluma ...........................
Stockton
Vallejo-Fairfieid
Visalfa-PorterviHe

11.0

43.7
12.8
214.9
223.5
30.6
218.5
312.4
96.5
22.4
36.2
20.9
30.1
40.0
25.1
29.7
11.0

116.9
80.1
19.9
144.6
191.7
70.9
14.4
21.8
11.2
19.7
17.0
13.2
7.9
3.4

Salinas

8.8
10.1
11.9

5.4

536.1

.7
1.7
6.2
1.8

8.8
10.1
11.9
42.3
27.7
40.0
24.2

63.8

3.9
.9

365.1
12.4
16.6
79.7

5.4

1.8

«2)

(2)

8.8
9.9
11.8

365.3
12.4
16.5
80.1

Apr.
2005P

41.4
27.5
39.6
24.1

5.9
1.4

3.7

362.8
12.5
16.8
79.5

Mar.
2005

62.3
16.6

2

C)

62.6
16.9
2

( )

2

8.3

8.3

8.2

87.8
35.7
39.7
10.4

87.7
34.2
39.7
10.0

88.0
34.1
40.0

2.3

58.1
17.4

60.8
18.7

60.9
18.8

60.1
169.1

229.3
620.9

228.7
631.1

228.9
630.3

C)

20.7
10.4

20.7
10.5

3.8
2.8

4.0
2.8

4.0
2.9

18.6

18.4

18.5

20.8
10.6

9.9

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
Natural resources and mining

Total
State and area

Apr.
2004

Mar.
2005

Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach Ormond Beach .
Fort Walton Beach-Crestview-Destfn
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdate-Miami Beach
Naples-Marco Island
Ocala
Oriando
Palm Bay-Melboume-Titusville
Panama Crty-Lynn Haven
Pensacota-Ferry Pass-Brent
,
Port St. Lucie-Fort Pierce
Punta Gorda
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petereburg-Clearwater
...
Vero Beach

7,522.2
204.1
165.2
83.5
130.5
580.7
200.4
2,294.6
122.3
92.3
968.6
203.8
71.1
166.1
118.2
40.0
300.1
169.7
1,273.1
45.7

7,725.5
212.7

Georgia .....
Albany ..„
Athens-aarke County
Atlanta-Sandy Springs-Marietta..
Augusta-Richmond County
Brunswick
Columbus
Dafton
Gainesville
,
Hinesville-Fort Stewart
Macon
Borne
Savannah
Valdosta
,
....
Warner Robins

Apr.
2005P

1,007.2
209.9
72.8
169.2
123.0
41.5
313.3
170.8
1,302.7
45.4

7,741.0
212.1
169.1
88.1
134.0
594.7
205.2
2,350.1
127.7
94.1
1,010.6
209.8
73.3
169.4
123.1
41.6
314.0
171.1
1,307.5
45.4

3,891.2

3,894.0

3,907.1

63.4
76.7
2,259.4

64.0
76.7
2,266.0

214.0
43.0
119 8

52.5
50.7

211.2
42.5
119.1
75.3
68.0
16.6
100.4
43.0
145.0
52.6
50.8

77.1
2,272.0
213.1
42.9
116.9
75.5
68.7
16.7
100.9
42.9
145.6
52.6
50.8

Hawaii
Honolulu .

577.9
426.0

594.8
438.8

595.9
439.4

Idaho
Boise City-Nampa.
Coeurd'Alene
Idaho Falls
Lewiston
Pocatello

581.6
240.1
48.1
48.3
26.3
37.8

589.1
246.1
49.1
50.1
26.3
38.4

598.1
248.4
51.4
51.0
26.6
38.6

5,787.5
90.8
113.1
4,382.3
31.6
182.4
53.8
42,5
173.8
152.9
109.9

5,760.5

5.825.4
89.0
113.2
4,415.6
32.0
181.9
54.5
42.4

2,933.9
45.3
83.6

2,971.3
45.8
83.1
42.8
130.5
178.6
211.9
889.1

75.4

2,947.0
45.3
82.1
42.5
130.1
176.6
210.3
883.1
48.3
91.9
46.4
54.5
145.8
75.1

1,460.0
47.6
129.6
297.3
53.0
85.7
71.4
87.5

1,447.1
46.0
130.3
303.3
51.5
84.8
70.5
87.3

1,473.9
47.4
131.0
304.5
51.9
85.4
71.3
87.8

Illinois
Bloomington-Normal
ChampaiQrHJrbana
Chteago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island .
Decatur
,
Kankakee-Bradley
Peoria
Rockford
......
Springfield,

Anderson
Btoomington
Columbus
Bkhart-Qoshen
Evansville
Fort Wayne

...

,

Kokomo ,..„
».
Lafayette
...
Michigan City-La Porte ...
Muncie
South Bend-Mishawaka.
Terr® Haute
Iowa
Ames
Cedar Rapids..
DesMoines
DubuQue
Iowa City
Sioux City
Waterloo-Cedar Falls...

76J
68.1
16.7
102.0
42.6
143.9

41.7
126.8
177.8
212.6
877.1
49.1

92.4
46.4
55.4
144.5

168.4
86.7
133.6
590.8
204.7
2,351.6
127.7

93.9

88.1
112.1
4,370.8
31.9
179.9
53.9
42.0
174.2
152.1
108.7

2006

7.2

175.6
153.4
110.3

48.6
93.5
47.0

6.8

( )
(!)
( )

Apr.
2004

6.7

(!)
( )

o
( 1I )

<;>

0)
(!)
( >
( )
( )
!)

0)
()
( )
(!)
( )
<>
< )

()
(
(
(

)
)
)
{
>
( )

0)

.5

1

.5

t )
12.2

12.0

2.0

2.1

(!)
(
>
!

((!)

V
!

( )
( )
( )

3.4

3.1
(!)

3.2
)

.3

.3
.2

(1)
12.1
(!)
(1)
2.1
(!)
(!)
(
>
!

(!)
( )
(
>
!

(!)
C1)

0

.3

(1)

)

C1)

)

9.3
9

.1
8.9
8

9.1

(\)
/1 \
!|)
(!)

\]\

M
(])

I1 )

75.6

I

(!)
(
>

(1)

6.9

7.3
7

54.8
146.8

100

Construction

Apr,
2005P

64.2

See footnotes at end of table.




Apr.
2004

( )
<>
( )

o
(!)
()
(!)
()
(J)!

1.9

()

o

7.0

(J)
()
( )
>
(
>
( )
( )
( )
< )
(

2.2

Mar.
2005

Apr.
2005P

484,7
26.1
11.5
4.7

508.1
23.2
12.2
5.1

5.6
39.2

5J
39.9

13.0
125.2
15.9
8.7
67.4
13.8
5.2
11.8
10.8
4.1
21.5
8.4
71.3
4.3

13.6
131.0
17.7
9.2
71.2
14.5
5.4
12.0
11.5
4.5
23.1
8.4
74.4
4.4

196.8
3.4
3.2
124.2
13.6
2.3
6.0
1.5
3.9
2
< >
5.8
1.3
8.4
2.9
1.3

197.2
3.5
3.3
123.6
12.9
3.0
5.7
1.4
3.9
2
( )
5.4
1.3
8.7
3.0
1.4

198.5
3.5
3.3
124.3
13.2
2.9
5,7
1.4
4.0
2
( )

28.4
19.7

31.0
21.6

31.7
22.0

38.4
16.9
4.4
3.7
1.3
2.0

38,7
16.7
3.9
3.5
1.3
1.9

41.7
17.3
4.4
3.9
1.2
2.0

262.8
3.2
4.0
2
( )

244.4
2,9

261.3
3.1
4.1
2
( )

()

510.1
28.3
12.3
5.1
5.8
40.4
13.7
131.2
17.8
9.3
71.9
14.5
5.4
12,0
11.5

4.6
23.7
8.5
74.8
4.4

5.5
1.4
8.7
3.0
1.3

.8

.8
7.9
3.2
1.7
8.2
7.5
5.1

7.2
2.9
1.5
7.6
6.8
4.6

7.9
3.2
1,7
8.2
7.6
5.1

146.7
1.7
4.3
1.5
4.7
13.0
11.5
51.4
1.4
3.8
2.3
2.2

144.4
1.6
4,1
1.6
4.8
12.1
10.8
51.6
1.4
3.7
2.3
2.1

150.6
1.7

6.7
3,5

6.4
3.2

67.9
(2)
7.1
16.7
(2)
<*)

59.3
(2)
6.5
15.1

4.6
1.7
4.8
13.0
11,3
53.9
1.6
4.0
2.5
2.1
6.7

3.6
67.4
(2)
7,7
16.2
(*)
2

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected area® by major industry-—Continued
(In thousands)
Manufacturing
State and area

Florida
Cape Coral-Fort Myers ...»
Deltona-Daytona Beach-Ormond Beach.
Fort Walton Beach-Crestview-Destfn
Gainesville
........................
Jacksonville
..........................
Lakeland
Miami-Fort Lauderdale-Miam? Beach
Naples-Marco Island
OcaJa
Orlando
Palm Bay-Melboume-TitusvilSe................
Panama City-Lynn Haven
Pensacola-Ferry Pass-Brent ...................
Port St. Lucie-Fort Pierce ........................
Punta Gorda
Sarasota-Bradenton-Veniee „..,„„...
Tallahassee ...........................
Tampa-Si Petersburg-CJearwater...........
Vero Beach

Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta.
AugustarRichmond County.........
Brunswick
,
Columbus
DaHon
Gainesville
Hinesville-Fort Stewart ..............
Macon ........».......................<,......,
Rome
Savannah
Valdosta
Warner Robins ............................
Hawaii........
Honolulu .

Boise City-Nampa,
Coeurd'AJen©........
Idaho Falls............
Lewiston ................
Pocatello................

Apr.
2004

Mar.
2005

389.4
6.1

389.8

9.7
4.0
4.3

9.8
4.2
4.2
33.8
17.2
100.7
2.8

33.1
17.1
101.4
2.8
9.5

42,6
22.9
3.3
7.3
6.0
1.1
18.3
4.3
72.0
2.4

447.2
7.6
9.5
177.2
25.3
3.2
15.0
31.3
17.1
9.1
9.0
13.5

6.3

6.3
9.7
4.1
4.2
33.5
17.0
99.7
2.8
9.6
43.6
23.0
3.3
7.1
5.9
1.1
17.9
4.2
71.1
1.8

9.6
43.5
23.3
3.3
7.1
5.9
1.1
17.3
4.2
71.3
1.8
438.9
7.7
9.4
173.1
24.3
3.2
14.7

30.6
17.0

C2)

a7

439.1
7.6
9.4
173.0
24.4
3.2
14,6
30.7
17.0
2
>: )
8.7
9.2
13.5

Imlsna
Anderson .......................
Btoomington...................

Columbus ......................
Bkhart-Goshen..............
Evansvifle ...:.............
Fort Wayne....................
Indianapolis ...................
Kokomo .........................
Lafayette
Michigan City-La Porte,.
Muncie
...................
South Bend-Mishawaka.
Terre Haute ....................
Iowa
Ames
Cedar Rapids.............
DesMoines.................
Dubuque
Iowa City ....................
Sioux City ...................
Waterloo-Cedar Falls..

Mar.
2005

1,491.4
43.1
31.9
15.8
17.3
127.5
44.5
510.8
22.9
21.0
180.9
35.4
13.6
30.2
26.7
8.5
49.4
24.1
220.5
9.5

1,522.4
44.2
32.5
16.0
17.3
127.8
45.7
516.0
23.7
20.9
186.7
36.3
13.8
31.1
27.8
8.7
51.7
24.4
224,7
9.8

1,526.0
43.9
32.9
16.2
17.4
129.5
46.1
514.6
23.5
20.9
188.3
36.4
13.8
30.9
27.7
8.7
52.0
24.3
225.5
9.8

166.9
4.2
2.8
2.2
2.2
11.1
2.1
57.9
1.8
1.2
25.5
2.7
1.7
4.0
1.6
.5
4.2
3.9
33.1
.6

169.2
4.3
2.8
2.2
2.2

58.9
1.9
1.2
25.0
2.8
1.7
4.0
1.7
.5
4.3
4.0
33.1
.6

168.3
4.3
2.8
2.2
2.2
10,8
2.2
58.9
1.9
1.2
24.9
2.8
1.7
4.0
1.7
.5
4.3
3.9
33.0
.6

820.9
13.6
12.7
511.7

816.3
13.9
12.7

119.5
,9
.9

117.6
.9
.9
91.2
3.2
.7

116.9
.9
.9
91.1
3.3
.7

6.2
.7
.4

6.2
.7

2.1
.9
1.9
.5

6.8

7.8
18.0
15.4
12.6
2.6
18.9
7.6
33.0
11.6
7.0

814.2
14.0
12.6
507.3
37.5
7.9
18.0
15.4
12.7
2.6
18.9
7.5
32.6
11.8
7.0

.5

2.1
.9
1.9
.5
.5

36.3
8.0
18.1
15.5
12.4
2.5
19.4
7.6
31.4
11.5

509.0
37.2

Apr.
2005P

(2)

92.9
3.4
.7
6.5
.7
.5

Mar,
2005

Apr.
2005P

10.6
2.2

2.2
.8

6.0
3.9
15.3
12.0

15.5
12.1

15.3
12.0

110.2
77.8

114.4
81.5

115.0
82.1

10.2
8.5

11.0
9.1

11.0
9.2

61.1
29.6
4.0
3.1
3.0
3.4

60.9
29.0
4.3

61.1
29.1
4.3
3.1
3.0
3.3

116.4
45.2
9.1
11.9
5.3
7.3

116.4

117.6
46.1

12.1
5.3
7.2

12.1
5.3
7.2

9.4
4.1
.8
.9
.4
.7

10.3
4.5
1.0
1.2
.4
.7

10.4
4.5
1.0
1.2
.4
.7

7.3
11.4

6.0

1,170.9
13.9
18.2
899.7
7.5
39.5
11.6
10.2
33.0
28.7
17.8

117.2
1.1
2.3
92.7
.5
3.1
.8

3.5

1,162.7
13.7
18.1
895.2
7.6
39.2
11.5
10.2
32.7
28.5
17.4

121.6
1.2
2.7
95.3
.5
3.2

3.5

1,167.2
14.0
18.2
895.3
7.4
39.6
11.6
10.1
33.0
28.3
17.7

117.1
1.1

11.2
499.5
6.1
23.7
11.0
5.0
29.3
32.2

691.3
6.0
11.2
497,9
6.1
23.7
11.0
5.0
29.4
32.2

.6
3.0
2.2
3.0

.6
3.0
2.2
3.0

572.7
8.8
12.6
7.0
18.0

576.0
9.0

40.8
.7
1.3

40.4
.6

40.6
.6
1.3
.5
.9

36.6

36.7
45.3

1.3
.5
.9

36.0

36.3
45.5

100.2
16.5
17.1

101.1
16.2
17.1
9.4
6.9
22.2
12.1

973.9
7.3
9.4
14.5
64.3
35.7
36.8
100.7
16.1
17.1
9.4
6.9
22.3
12.1

572.2
8.8
12.8
7.0
17.8

35.1

573.5
7.3
9.5
14.4
64.3
35.7

186.8
7.7
14.0
8.9
9.4
28.0
15.0

189.6

7.6

36.8
45.7
190.5
7.6

14.1
9.0
9.0
27.9
14.4

14.3
9.2
9.0
28.2
14.4

223.0

225.2

303.0
(2)

19.6
20.0

19.8
19.9

27.7
62.7

300.7
(2)
28.1
65.9

6,3
4.0

3.1
2.9
3.3

500.0
5.8
24.6
10.4
5.3
27.7
32.2
3.4
7.1
9.3
14.0

62.6

9.2
7.4
21.4
11.9
221.3

Ca)

19.2
19.6

C2)
(2)

12.6
16.0

C2)
C2)

12.9
16,2

13.0
16.1

Sea footnotes at end of table.




Apr.
2004

Apr.
2004

9.3
13.4
6.2
4.1

Illinois
BloomingtonHNorma!.................
Champaign-Uroana
Chicago-NapervHte-Jofes..........
Danville..
Davenport-Moiine-Rock Island .
Decatur
..........
Kankakee-Bradley....................
Peoria
............................
Rockford
Springfield

Information

Trade, transportation, and utilities
Apr.
P

101

C2)

15.7
14.0
16.3

45.7
9.2

C2)

15.3
13.8
16.2

2.0
.5
.5

9.5

.9
.6
3.0
2.2
3.1

12.8
7.0
18.1

.5
.9
2.9
3.7
16.3
.4
1.1
.7
.4
2.4
.8

305.1

C2)

2

27.9
65.2
(2)
15.2
13.8
16.2

33.6
)
5.8
9.2

2.6
92.5
.5
3.1
.0

2.9

2.9

3.4
16.4
.3
.9
.7
.4
2.3
.8

3.4
16.3
.3
.9
.7
.5
2.3
.8

34.0

34.3

5.8
9.4

2

(?)

5.9
9.5

()

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major Industry—Continued
(In thousands)
Financial activities
State and area

Apr.
2004

Florida .
Cape Coral-Fort Myers
DeKona-Oaytona Beach-Ormond Beach
Fort Walton Beach-Crestview-Destin
Gainesville
Jacksonville
.
.. ,
Lakeland
Miami-Fort Lauderriale-Miami Beach
Naples-Marco Island
Ocala
Orlando
Palm Bay-Melbourne-Titusville
Panama City-Lynn Haven
Pensacola-Ferfy Pass-Brent
Port St Lucie-Fbrt Pieroe
PuntaGorda
,
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petersburg-Clearwater
Vero Beach
. .
, .
Georgia
,
Albany
Athens-Clarke County
Atlanta-Sandv SDrinos-Marietta
Augusta»Richmond County
Brunswick
Columbus
. . ,
Dalton
Gainesville
Hinesville-Fort Stewart
Macon
Rome . .,
Savannah
..
Vaidosta
Warner Robins ..

.......

Illinois
Bloorninjjton-Nonrial
Champaign-Urbana
ChicaQO-Naperville-Joiiet
Danville ,
Davenport-Moline-Rcck island
Decatur
.
»
Kankakee-Bradley
Peorfa
.
.
Rockforri
Springfield

916.1
19.0
31.6
77
21.2
67.6
24.1
292.2
13,4
11.0
97,0
26.8
9.0
277
16.8
7.5
37.5
16.3
147.5
7.8

942.6
19.3
32.5
7.9
22.0
70.5
25.5
299.5
13.4
11.0
101.9
27.4
9.3
28.4
177
7.6
387
16.6
149.8
8.0

944.8
19.2
32.9
7.8
22.0
71.1
25.6
300.0
13.3
11.1
102.6
27.4
9.3
28.6
17.8
7.6
38.3
16.5
150.1
8.0

217.8
2.4
2.7
1517
7.2
1.8
8.8
1.6
3.1

219.4
2.4
27
152.1
67
17

220.2
2.4

9.1
1.6
3.2

27
152.6
67
1.8
9.0
1.6
3.2

507.4
5.6
5.9
368.6
32.6
3.2
12.3
8.8
4.7

515.6
5.8
5.6
373.1
32.7
3.1
12.3
8.8
47

517.6
5.8
57
374.9
32.8
3.1
12.2
8.8
47

406.8
8.8
9.1
220.9
26.1
3.3
13.5
4.3
9.4

412.9
8.9
9.0
224.0
26.2
3.4
137
4.1
9.5

413.9
8.9
9.0
223.8
26.0
3.3
137
4.1
9.6

8.5
1.6

8.5
1.5
6.2
1.7
1.5

11.2
3.4
16.2

1.5

8.5
1.5
6.1
17
1.5

5.6

11.3
3.5
16.0
4.2
5.5

11.4
3.5
15.9
4.3
5.5

17.8
7.7
20.3
5.3
3.9

177
7.8
20.2
5.3
3.6

17.9
7.8
20,1
5.3
37

287
22.1

29.1
22.4

29.1
22.4

70.1
56.9

72.3
587

72.9
59.4

66.6
52.9

69.3
54.8

69.2
54.6

27.5
12.9
2.3

28.3
13.2
2.4

1.9
1.8
2.1

72.1
34.5
5.3
7.7
1.6
4.3

73.7
35.9
57
8.3
1.6

75.5

1.8
1.8
2.0

28.5
13.3
2.5
1.9
1.8
2.1

65.2
29.6
50
5.9
4J

ai

67.3
30.9
5.3
6.3
4,1
3.0

68.0
31.0
5,4
6.4
4.1
3.0

397.0
11.9
4.4
322.3
17
8.8
2.5
2.1
8.4
7.6
7.4

3987
12.0
4.5
324.3
17
8.9
2.5
2.0
8.4
7.6
7.5

399.2
12.0
4.4
323.9
1.7
8.9
2.5
2.0
8.4
7.6
7.4

791.8
16.6
7.3
671.5
1.6
22.3
5.1
2.4
17.2
16.4
107

794.1
16.4
7.3
678.2
1.7
22.3
5.1
25

729 J
8.1
12.1
549.1
3.1
22.1
64
7.3
30.4
21.0
16,0

733.2
8.1
12.0
547.9
3.1
22.0
6.9
7,3
30.5
21.2
16.3

734.5

139.1

140.5

140.5

2647

267.8

2.0
3.0
1.6
3.1
6.6

2.0
3.0
1.6
3.1
6.6
13.0
63.6

1.6
37

1.6
3.7

1.3
2.1

1.3
2.1

7.2
2.7

7.1
27

2,8
5.8
3.8
9.0
167
19.8
119.3
3.0
5.1
2.6
4.1
12.6
5.5

9.3
3.5
10,2
25.4
32.5
1077
37
9.2
6.5
9.6
31.9
11.8

377.5
7.9
9.5
3.5
10.3
25.1
327
105.9
37
8.9
6.5
9.3
32,2
12.2

378.3
7.9

13.1
63.5

2.8
5.8
37
8.3
16.5
197
117.5
3.2
4.8
2.9
4.0
12.4
5.5

272.1
2.8
6.0
3.9
9.1
167
20.1
121.2
3.1
5.2
27
4.2
127
5.5

3727

2.0
3.0
1.6
3.0
6.4
13.0
63.1
1.6
3.8
1.2
2.0
7.1
2.6
96.3

977

98.6

108.6

105.0

108.2

194.0

196.2

9.5
467
2
( )
(2)

9.9

9.9
47.8

12.5
307

11.8
30.6

117
307

16.1
35.4

16.8
35.4

5.1
7.2
6.9

4.6
7.3
7.0

4.5
7.4
7.2

6.4
17

. . .

.. . ,

........

. .
........

.
•

.
»

..-.
•

....

-

2

„

<2)

477

I 22)
<2>

<22 )
<2>

See footnotes at end of table.




Apr.
2005P

1,355.2
28.6
19.3
12.4
11.4
B9.2
37.9
401.4
20.5
8J2
170.5
367
8.0
227
14.0
3.9
92.2
17.5
342.9
4.2

....

.

Iowa
Ames
. .Cedar Raoids
Des Moines
Dubuoue
Iowa City
Sioux City
«..~.r.«..
Waterloo-Cedar Falls

Mar.
2005

1,351.8
29.1
19.2
12.4
11.4
89.6
38.2
400.2
20.2
8.2
170.9
36.3
6.0
22.9
14.0
3.9
92.0
17.5
340.5
4.2

.

. .

Education and health services
Apr.
2004

1,295.2
27.4
184
11.4
10.9
877
37.8
377.8
19.4
7.7
161.5
35.4
7.4
217
13.2
3.4
85.4
18.1
323.0
4.1

. ..

Kokomo
Lafayette
.. .
Michigan City-La Porte
Muncie
South Bend-Mishawaka

Apr.
2005?

...

Idaho
Boise Cftv-NamDa
Coeurd'Alene
Idaho Falls
Lewiston
Pocatello

Elkhart-Goshen
Evansville
Fort Wayne

Mar.
2005

512.9
12.5
6.9
7.2
6.3
58.8
11.6
171.3
7.0
4.9
61.6
8.0
5.6
7.8
6.9
2.2
14.9
7.7
94.1
2.6

Honolulu

Indiana
Anderson

Apr.
2004

508.7
12.2
6.9
67
6.3
58.4
11J2
170.1
7.0
4.9
60.6
8.0
5.6
7.9
6.8
2.2
14.9
77
93.6
2.6

»

.

Professional and business services
Apr.
2005P

5007
11.9
7.0
6.4
6.2
58.3
11.2
168.8
6.9
4.8
58.5
7.8
5.1
7.6
6.4
2.2
14.5
7.6
95.0
2.6

...
...

.

Mar.
2005

102

4.3

47

17J2
16 3
10.3

38.5
6.0
8,6
1.6
4.8
815.6
16.5
7.4
395.2
17
22.4
5,2

2.5
17.3
16.4
107

7.9

8.1
12.0
550,9
3.2
22.2
6.9
7.3
30.5
21.0
16.3

9.5
3.5
10.4
25.2
32.8
105.9

37
9.0
6.5
9.4
32.2
12.2
1957

167
2

35.5

<2)

(2)

( )
(2

<«>

(2

(2

2

2

2

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B»14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(Sn thousands)
Leisure and hospitality
State ami area

Apr.
2004

Florida
Cape Coral-Fort Myers
....
Dettona-Daytona Beach-Qrmond Beach
Fort Walton Beaeh-Crestview-Destin ....
Gafnesville
Jacksonville ,..
....................................

Lakeland
Miami-Fort Uudertfale-Miami Beach ....
Naples-Marco Island

Ocala

........................................

Orlando
, ,
.......
Palm Bay-Melbourne-Titusville
Panama City-Lynn Haven
Pensacola-Ferry Pass-Brent .
Port St. Lucie-Fort Pierce

.........
..........

Punta Qorda
Sarasota-Bradenton-Veniee
Tallahassee
........
,.
...,
Tampa-St Petersburg-Cieafwater .........

Vero Beach

.........

......................

Georgia
Albany

.....
........................

Athens-Clarke County ...........................
Atlanta-Sandy Springs-Marietta
Augusta-Richmond County .....................
Brunswick......
....................................

Columbus

Mar.
2005

Other services

Apr.
2005P

Apr.
2004

Mar.
2005

Government
Apr.
2005^

Apr.
2005P

Apr.
2004

Mar.
2005

1,103.9
32.5
22,9
15.4
45.8
74.9
27.8
322.8
13.1
16.3
111.5
30.3
11.6
29.0
18.1
6.4
27.9
65.4
150.9
5.6

870.9
26.9
21.3
12.6
12.8
56.3
15.1
244.1
20.9
8.6
180.2
20.8
11.2
18.2
13.9
5.1
30.6
14.6
113.4
6.5

897.4
28.3
21,3
12.8
14.0
58.0
15.3
252.9
22.3
8.8
187.8
21.9
10.5
18.4
14.0
5.0
31.6
14.9
115.3
6.2

897.7
28.0
21.1
13,7
13.9
58.9
15.2
251.0
22.3
8.8
187.6
21.9
11.1
19.0
14.1
5.0
30,9
14.9
115.8
6.2

319.0
8.4
8,1
4.0
4.9
26.3
8.0
97.5
5.6
3.7
46.5
8.9
3.4
8.2
5,4
1,6
11.6
8.0
47.5
2.2

326.2
8.5
8.3
4.0
4.9
26.9
8.0
99,4
5.6
3,8
47,6
8.7
3.5
8.3
5.4
1.6
11.8
8.2
49,1
2.2

326.6
8.5
8.3
4.0
5.0
27,2
8.1
98.7
5.5
3.8
47,7
8,8
3.5
8.3
5.4
1.6
11.9
8.2
48.8
2.2

1,080.7
31.0
22.9
14.7
45.1
73.2
27.5
318.4
12.7
16.1
108.1
29.3
11.2
29.4
17.4
6.0
27.1
64.4
149.2

5.7

1,102,5
32.3
22.9
15.4
45.6
74.9
27.8
322.4
13.1
16.3
111.6
30.7
11.7
29.1
18.2
6.4
27,9
64.9
150.4
5.6

361.2
4.7
7.5
211.5
20.5
8,8
12.9
3.8
5.2

356.8
4.6
7.3
211.0
19.2
8.7
12.6
3.7
4.7

365.1
4.8
7.6
215.9
20.4

157.1
2.9
3.8
92.6
8.2
1.8
4.9
2.0
2.4
<2)
4.0
1.5
6.5
2.0
1.8

154.7
2.8
3.7
93.3
8.0
1.8
4.7
1.9
2.4
(2)
3.8
1.5
6.4
1.9
1.7

155.6
2.8
3.8
93.7
8.0
1.6
4.7
1.9
2.4
(2)
3.8
1.4
6.4
1.9
1.7

644.3
13.5
21.4
306.1
40.8
9.4
21.8
7.2
9.4
6.6
15.2
6.4
21.3
12.3
20.3

652.6
13.5
22.1
313,5
40.8
9.3
22.1
7.1
9.6
6.6
15.3
6.5
21.7
12.4
20.6

653.9
13.5
22.1
313.3
40.8
9.4
21.9
7.1
9.6
6.6
15.3
6.5
22.2
12.3
20.6

9.0

8.8
3,3
17.9
6.0
5.1

8.7
3.1
17.6
5.8
4.9

12.9
3.8
5.1
(2)
8.8
3.2
18.1
5.9
5.0

102.6
59.7

105.8
62.0

105.9
61.8

24,1
19.1

24.2
19.0

24.2
18.9

121.7
97.3

122.2
97.6

121.6
97.0

Maho.
................................................
Boise City-Nampa
Coeur d'Alene.........................................
Idaho Falls
Lewiston ................................................
Pocatello.................................................

54.0
21.1
6.5
4.6
2.5
3.5

53.9
21.9
5.9
4.8
2.5
3.8

54.8
22.1
6.8
4.8
2.5
3.8

18.4
7.0
1.4
1,9
1.0
1.2

18.5
7.1
1.5
1.9
1.1
1.3

18.8
7.2
1.6
1.9
1.1
1.3

116,0
39.2
9.0
6.8

117.7
41.2
9.6
7.0
5.2
10.4

118.5
41.3
9.6
7.1
5.5
10.4

Illinois
Bloomington-Normal
Champaign-Urbana
Chicago-Naperville-Joliet
............
Danville
Davenport~MoJfne-Rock Island ..............
Decafur

501.4
9.1
11.0
377.3
2.7
18.6
4.8
3.8
17.5
11.8
10.3

499.2
9.0
10.7
376.7
2.6
18.3
4.8
3.7
17.2
11.7
10.0

519.8
9.2
11.2
387.8

256.7
3.6
3.4
195.7
1.5
7.9
2.6
1.6
7.4
9.3
6.4

256.4
3.6
3.4
195.7
1.5
7.9
2.6
1.6
7.4
9.3
6.4

854.9
15.8
38.6
565.9
6.5
27.5
5.8
7.6
21.0
16.5
29.9

852.8
15.3
38.8
562.3

18,7
4.9
3.9
17.5
12.1
10.4

257.8
3.6
3.4
195,6
1.5
7.8
2.6
1.6
7.4
9.4
6.3

27.3
5.8
7.6
20.9
16.3
29.7

850.2
15.5
38,7
561.5
6.3
27.6
5.8
7.6
20.9
16.3
29.7

274.4
5.0
8.4
2.9
7.2
16.3
19.9
84.0
4.5
8.3
5.2
5.3
11.8
7.3

271.4
48

280.8
5.0
8.2
3.1
7.4
16.5
19.7
85,7
4.6
8.6
5,1
5.3
12.3
7.3

109.2
1.9
2.8
1.3
3.9
7.4
8,4
34.3
2.4
2.9
1.8
2.0
5.6
2.9

111.4
2.0
2.8
1.3
4.0
7.4
8.3
34.9
2.5
2.9
1.8
2.0
5.6
2.9

111.9
2.0
2.9
1.3
4.0
7.5
3.5
35.1
2.5
3.0

437.2
7.4
26.6
5.7
8.2
18.1
22.6
115.8
7.7
27.4
7.7
13.1
17.2
14.1

440.5
7.5
25.5
5.7
8.6
17.6
20.8
116.3
7.5
27.1
7.8
13.4
17.4
14.1

439.6
7.5
25.4
5.7
8.4
17.7
20.6
116.2
7.5
27.7
7,8
13.3
17.3
14.1

126.2
(2)
10.5
25.6

125.1
(2)
10.7
27.S

57.1
(2)
5.2
12.1

6.5
7.0
7.1

56.3
<2>
5.3
11.8
(!)
«2)

56.5

7.2
7.1
7.3

131.4
(2)
10.6
28.8
<*>
6.6
6.9
7.2

250.8
20.3
15.9
38.9
4.2
32.1
9.2
15.2

247.7
18.6
15.8
39.1
4.2
31.6
9.1
14.7

248.7
19.6
15.6
38.8
4.2
30.9
9.2
14.7

PaJton
..........................................
Gainesville
Hinesville-Fort Stewart ..........................

Macon
Rome
„
............... ,
Savannah
Valdosta.................................................
Warner Robins
Hawaii
Honolulu

Kankakee-Braiey ". 'ZZZZZZZZZ,
Peorfa..
Rockford
Springfield
Sudlana

Anderson ................................................
Bloomlngton
Columbus
Bkhait-Qoshen
Evansvllle ...............................................
Fort Wayne.............................................
Indianapolis
Kokomo
Lafayette.........................................
Michigan City-La Port® ..................
Muncle
South Bend-Mishawaka
Terr© Haut®
town
Ames
Cedar Rapids .................................
Des Moines
..................
Dubuque .,„...

towa City
Sioux City
Waterloo-Cedar Falls

C2)

i2)

2.7

ao

3.1
7,1
16.2
19.3
84.5
4,5
8.4
5.0
5.2
12.0
7.2

C2)

See footnotes at end of fable.




103

(?)
(2)

C2>

5.3
12.6
(2)
2

< )

1.8
2.0
5.7
2.9

(2)

C2)
<2)

5.1
10.3

6.3

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Natural resources and mining

Total
State and area

Apr
2004

Mar.
2005

Kansas
Lawrence.
Topeka
Wichita

1,328.2

1,334.1
53.0
112.7

Kentucky
Bowling Green
Elizabethtown
Lexington-Fayette.
Louisville
Owensboro

1,798.0

1,797.7
57.1
45.9
244.1
599.7
49.8

1,816.3
58.0

46.1
244.0
600.1
50.1

Louisiana
Alexandria
Baton Rouge
Houma-Bayou Cane-Thibodaux.
Lafayette
Lake Charles
„,
Monroe
,
NewOrteans-Metairie-Kenner....
Shreveport-Bossier City

1,928.4
60.8
346.8
82.3
133.3
88.5
79.8
619.0
168.7

1,930.7
59.9
344.7
80.6
132.3
87.5
80.1
621.2
170.9

1,934.2
60.0
344.4
81.4
133.1
88.2
80.2

604.4
65.6
47.5

599.1
64.3
48.0
191.1

608.7
65.3
48.1
194.6

O)

O)

2,554.7
1,275,2
39.2
99.2
54.3

< >
(
>
( >
(1

((

52.9
112.7
284.0

56.5

Bangor
............................... .....
Lewiston-Aubum
Portland-South Portland-Biddeford..
Maryland
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg.
Salisbury
.....

169.4
2,500.3
1,258.5
39.1

97.0
52.6
3,172.3

BamstableTown
Boston-Cambridge-Quincy
Leominster-Frtchburg-Gardner.
New Bedfoid
Pittsfield
«.
Springfield
Worcester

97.0
2,397.0

Michigan
Ann Arbor
Battle Creek
,
Bay City
Detroit-Wanren-Uvonia
Flint
Grand Rapids-Wyomingi
„
Holland-Grand Haven
.....
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
, .
Muskegon-Norton Shores
Nftes-Benton Harbor
Saginaw-Saginaw Township North..

4,394.3
205.0
63.6
40.3
2,056.3

Minneapolis-St Paul-Btoomington .
Rochester

St. Cloud

«...

Mississippi
Gulfport-Biloxi.
Hattiesburg
Jackson
Pascagoula

Columbia .......
Jefferson City.,
JopKn
Kansas City ...
St. Joseph..
St. Louis3
Springfield

51.6

63.0
35.5
295.0
242.9

286.0

2,530.4
1,260.1
38.6
98.0

53.6
3,154.1

93.3
2,388.0
51.4
62.2
35.7

Apr.
2005P
1,345.8
52.7
113.0
287.2

46.2
245.4
604.7
50.4

2,660.5
1281
1,727.2
1014
95.9

2,693.5
130.1
1,746.5
102.3
97.1

1,129.9
114.1
54.9

1,133.6
113.4
55.2
258.1
55.1

1,140.9
113.8
55.8
259.1

2,697.3
88.5

2,725.1
89.3
79.1
77.0

53.8

78.6
76.8
972.7
53.6
1,322.6
185.6

55.5

960.9
54.0
1,334.5
187.5

See footnotes at end of table.




(|)

)

1.9

104

8

I

85.8
3.1
2.0
12.7
36.0
2.9

118.3

119.0

35.6
10.4
19.0
9.9

32.5
107
19.1
10.0

40.2
11.2

41.1
12.6

119.0
(2)
32.7
10.6
19.4
9.7
2
( )
41.6
12.8

297
2.S
2.4
10.2

28.4
2.5
2.8
10.3

30,1
2.7
2.8
10,8

175.0
77.9
17

1727
78.4
1.9
6.0
3.5

176.3
80.6
2.0
6.3

138.3

3.1
17
10.1
10.0

129.8
57
94.0
2.3
3.0
1.5
9.1
97

183.2
5.3
2.1
1.5

167.3
5.3
2.1
1.4

181.0
5,5
2.2
1.5

82.0
6.2

79.6
57

84.4
6.2

19.0
6.3
2.5
6.4
8.9
2.3
2.4
2.3
4.0

17.0
5.9
2.3
5,8
8.2
2.2
2.2
2.1
37

18.8
6.2
2.4
6.1
8.8
2.3
2.3
2,2
3.8

120.3
77
797
47
4.8

106.6
7.2

117.6
7.8

71.6
4.0
4.2

76.2
4.4
47

48.9

477
5.4

45.0

o
(?)

o
0)

1.9
1.1

7.5

(1)

(J)
2.0

134.5
6.1

(J) 1
(!)

97.9
2.3

o
()

8.2

5.9

5.8

)
)

(!)
( )
O

)
8.5

8.4

C )
5.0

<*)

11.8
2.1

<*>
12.3
2.1

5.3

1367

133.3

137.8

<)

1

6.2
100.1
2.5
3.3
17
10.2
10,1

.9

0)

1

3.6

49.0
5,4
< )
12.5
2,1

5.3
2

C )

o

6.2

5.9
3.5

!

C1)

()

4.8

82.9
2.9
1.9
12.3
34.3
2.8

(])
(!)

8.7

0)

827
2.9
2.1
12.4
33.9
2.8

20.2
(!)
( )

2

((!)
)
O)

5.8

( )
(!)
( )
O

15.9

(!)

)

1.2

(!)

5.9
16.2

65.9
(2)
6.4
15.9

(!)

2.8
.3

Apr,
2005?

62.5

?>1
((!)
)

0)

( )

Mar.
200$

63.3

7.7

(

44.5

0)
)
>
( 1)

ao

Apr.
2004

Apr.
2005P

(!)

2.1
.2

64.3

2,668.5
120.3
1,732.2
101.1
96.4

2,707.0
87.3
78.5
75.7
970.7
54.1
1,326.2
183.6

19.9

<o(!) >

4,361.3
205.2

65.8
64.2
94.2

256,8

Cj)
( )
( )
( )

296.6
243.7

64.8
63.7
94.0

230.6

(!)

45.3

35.8

43.1

62.6
144.2
234.3
44.1

7.7

63.3

65.4
63.2
92.4

161.0
384.2
114.4

(J)1

3,193.0
97.9
2,414.6
51.8

39.1
2,034.7
159.6
385.7
114.5
61.4
144.6
232.8
43.9

2,008.2
158.9
385.1
113.6
61.4
144.4

200$

19.6

(!)
( )

172.5

240.8

203.9
63.2
38.9

as
(J)
()

622.7

292.2
4,320.1

Apr.
2004

Construction

I)

2

)
50.8
)
79.8
8.8

2

)
51,3
)
78.7

2

)
537
2

)
81.6

9.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Trade, transportation, and utilities

1Manufacturing
State and area

Apr.
2004
175.3

Kansas
Lawrence........................

C2)

Topeka............

at

Mar.
2005

Apr.
2005P
178.5

178.3

(2)

8.2

<2)

8.2

........

57.8

60.1

60.2

Kentucky
....................................
Bowling Green
......
Bizabethtown
...........................
Larington-Fayette...................
Louisville........................................
Qwensboro ....................................

262.8

264.5

265.7

9.1
6.8

9.2
6.9

9.3
6.9

33.8
80.3

34.3
80.0

34.2
79.9

9,6

9.5

9.5

Wfchrta..

.......................

Louisiana.
Alexandria..
............................
Baton Rouge
Houma-Bayou Cane^Thibodaux....
Lafayette
..............................
Lake Charles ...............................
Monroe ..........................................
NewOrieans-Metairfe-Kenner .......
Shrevspoft-Bossier City.................

152.3

C2)

26.6

C2)

8.1
9.2
8.9

150.4

150.6

I2)

i2)

C2)

<*)

27.1

27.0

7.4
8.5
8.9

Apr.
2004
260.7

Mar.
2005
256.7

Apr.
2005P
258.3

8.2

8.2

8.3

20.6
49,5

20.8
48.5

20,7
48.4

369.2
11.0

369.5
10.8

371.2
10.9

8.4

8.3

8.3

44,3
130.5
10.1

44.1
131.0

44.0
131.3

9.8

9.9

380,0
11.2
63,8
20.0
27.1
17.5
14.3
123.5
32.1

380.4
11,3
64.0
19.7
26.3
17.0
14.1
121.1
32.3

381.9
11.6
64.4
20.2
26.6
17.1
14.1
121.6
32,5

121.3
15.0
9.5
39.9

120.5
14.7
9.8
41.2

122.0
14.9

463.4
239.2
7.3
20.2
11.1

467,5
241.3

563.0
21.2
418.1
10.2
11.8
6.1
60.6
45.1

566.0
22.0
419.7
10.2
12.2

801.8
27.2
10.3
377.6
31.3
73.5
17.1
12.4
25.6
36.1
9.7
135
12.5
17.9

38.9
13.8

7.4
8.4
8.9
38.5
13.8
61.3
3.3
6.0
15.8

61.5

Portland-South pQrtland-Biddeford

62.3
3.7
6.3
15.4

Maryland ...........................................
Bartimore-Towson .........................
Cumberland ...................................
Hagerstown-MartinstDurg ..............
Salisbury .......................................

142.6
76.4
4,6
12.1
4.6

140.1
74.3
4.6
12.1
5.1

140-0
74.6
4.6
12,1
5.1

460.8
238.9

Massachusetts..,^,.
.....................
Bamstable Town
...,
Bc^ton-Cambridge-Ouincy .
Leominster-Rtehburg-Gardner......
New BedfortS
Pfttsfield
Springfield......................................
Worcester ......................................

314.1
3.3
230.7

312.1
3.4
231.6
9,7
11.1
39
39.5
28.9

564.8
21.7
418.2
10.4
12.3

39.0
29.9

312.0
3.4
231.6
9.7
11.1
3.9
39.2
28.7

MfcWflWi ...........................................
Ann Arbor ......................................
Battle Creek
..............................
Bay City
Detrort-Warmn-Livonte ..................
FKnt ................................................
Grand Rapids-Wyoming ................
Holland-Grand Haven....................
Jackson
Kalamazoo-Portafl®.......................
Lansing-East Lansing....................
Monroe
Muskegort-Norton Shores ,........,...<
Niles-Benton Harbor
,
Saginaw-Saginaw Township North

702.0
23.7
14.2

673.3
22.7
14.4

801.1
27.0
10.3

4.7

4.3

301.3
23.7
73.8
37.9
10.3
24.3
23.7
9.1
13.5
15.4
14.8

284.7
22.0
74.7
36.1
10.2
24.5
22.9
8.7
13.6
14.6
14.0

675.9
22.3
14.6
4.3
289.1
22.4
74,6
36.4
10.1
24.4
22.4
8.7
13.5
14.5
14.5

379.5
31.3
73.0
17.4
12.8
25.3
37.1
9,7
13.4
12.0
17,5

797,4
27.3
10.2
8.9
376.8
31.4
74,0
16.8
12.4
25.4
35.8
9.7
13.4
12.4
17.5

Minnesota
...........................
Dulutn
Minneapolis-Si Paul-Btoomington
Rochester......................................
St. Cloud

338.7
8.3
201.4
12.9
18.7

344.5
8.4
205,6
13.1
16.9

343.9
8.4
204.8
13.0
16.9

517.4
25.4
331.4
15.3
20.7

517.0
25.7
331.6
15.5
20.6

522.9
26.2
335.4
15.7
20.8

UlssissSpp
Gulfport'
HatfiesbB
Jackson .......
Pascagoulfii ...

180.6
5,8
4.5
23.2
16.0

179.1
6.0
4.4
22.4
16.8

179.7
6.0

219.3
20.3
11.6
51.6
8.1

220.9
20.8
11.6
52.2

8.4

222.9
20J
11.5
52.8
8.4

528.3
14.1
13.5
18,9
201.2
11.0
250.9
44.2

530.1
14.1
14.2
18.8
201.8
10.9
249.5
44.2

534.6
14.3
14.4
18.8
203.4
11.0
250.6
44.5

Maine
Bangor

Lewiston-AuUum............................

Missouri

Coiurnfrig
Jefferson City
Joplln ...........
Kansas City .
S i Joseph
St. Louis 3 .....
Springfield ...

9.8
11.1

3.9

312.5
(2)

C2)
2

83,9

i)

144.6
18.6

314.1

i2)

o(z)

84.0

145.9
18.5

38.8
13.8

3.4
6.0
15.6

4.4
22.3
17.0
313.8

I2)
<;>
i2)
2

I )

145.7
18.4

See footnotes at end of table.




84.5

105

7.2
20.6
10.9

6.2
59.9
45,0

9.1

Information

28.9

<2>
<2>

3.2
5,7

41.4

i2)

28.0

C22)
C)

4.4

3,2
5.7

28.1

(2)
(2)

4.4

10.4

10.3

.6

.6

.6

28.4

28.4
(2)
5,1
(2)
2.9
(2)
2
()
9.7
2.7

30.1

(2)
<2>

5.5
2.9

i22)
( )10.6

(2)

5.1

I2)

2.9

<2>
2

C)

2.8

9.7
2.7

11.4

11.7

1.5
.8
4.6

1.5
.8
4.6
50.9
21.5

50.2
21.0
2

2

( )

2,9

(2)

( )
(2)

11.8
1.5
.8
4.6
50.7
21.3
( )
2

3.0

(2)

84.4

86.6

3.0

83,9

2.0

2.0

2.0

73.2

71.1

70.7

.6
1.1
.7
4.7
3.9

.6
1.1
.7
4.3
3.7

.6
1.1
J
4.3
3.7

6.2
60.8
45.1

8.6

4.5

(2)

10.6

9.8

7.4

3,0
6.3

Apr.
2005P

41.3

42.5

<2>

41.5

20.6
11.2

Mar.
2005

Apr.
2004

65.6

68.3

.6

65.0

3.7

3.9
(2)

(2)

.6

3.7
(2)

.6

36.3

35.5

35.0

2.1
5.6
1.0
.5
1.5
3.2

2.1
5.5
1.0
.5
1.4
3.1

2.0
5.6
1.0
.5

2

( )

2

C>

1.4
3.0
2

( )

2.1

.9
.8
2.0

61.3
26
44.2
1.5
1.4

58.3
2.5
40.3
1.6
1.4

58.5
2.5
40.5
1.5
1.4

14.6

14.5
(2)
2
()
4.8

14.3
(2)
2
( )
4.6
(2)

1.0
.8

C2)
(2)
C2)

5.1

(55.2

i2)

63.8

<2>
(2)

(2)
(2)
(2)

I)

C2)

«2:>
45.8
2
29.7

4.6

44,0

29.6
4.4

.9
.8
2.0

63.8

<2)
(2
(2)
44.2

(2)
29.7

4.3

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Financial activities
State and area

Apr.
2004

Kansas
Lawrence Topeka
Wichita
Kentucky
Bowling Green
Elizabemtown
Lexington-Fayette.
Louisville
Owensboro
Louisiana
Alexandria
Baton Rouge......
„..,
Houma-Bayou Cane-Thibodaux.
Lafayette..,
Lake Charles
Monroe
New Orieans-Metairie-Kenner....
Shreveport-Bossier City

2

70.0
)
7.0
12.3

2

70.4
)
6.9
11.8

Apr.
2005P

Mar.
2005

Apr.
2O05P

Apr.
2004

2005

2005P

127.5
5.2
8.9
25.9

129.5
5.0
8.7
27.0

132.5
5.0
8.7
27.5

160.4
5.2
16.7
38.2

162.0
5.0
16.8
38.7

162.7
4.9
16.7
39.0

85.2

159.9
5.7
3.9
28.2
65.1
3.0

162.7
6.4
4.2
30.0
65.2
2.7

1662
6.5
4.2
29,9
65.5
2.8

230.8
6.7
4.2
30.7
74,7
5.4

232.5
6.7
4.3
30.7
74.8
5.4

232.9
6.8
4.4
30.7
74.6
5.5

185.7
C2)
37.6
C2)
14.6
5.9
7.2
72.9
14.0

185.3
(2)
37.0
(2)
14.8
6.0
12
73.5
14.4

252.7
(2)
38.5
(2)
19.6

254.4
<2>
40.0
(2)
19.1

253.9
(2)
39.2
<2>
18.9

83.2
22.8

(2)
86.2
22.7

;
<)

2
2

11.0
39.3
2.3

10.8
39.3
2.3

( )
10.8
39.3
2.3

102.6
(2>
18.2
(2)
8.0

104.0
(2)
18.8
i2)
8.3

104.4
(2)
19.1
(2)
8.3

()

Apr.
2004

Education and health services

70.7
(2)
6.9
11.8

84.9

87.5

35.4
7.6

35.3
7.6

35.1
7.6

186.4
I2)
38.2
<2>
14.0
6.4
7.4
75.1
14.2

35.0
2.2
3.0
15.8

34.2
2.2
3.1
15.9

34.1
2.2
3.1
16.0

49.7
5.6
4.9
21.4

48.3
5.5
4.6
21.4

49.7
5.7
4,8
21.6

111.5
13.4
10.0
32.5

113.4
13.2
10.3
33.6

114.0
13.5
10.1
33.8

154.7
82.0
(2)
1Z

156.9
81.7
<2>
7.8

157.3
82.2
( )
7.8

370.4
176.3
2.6
7.3
4.5

378.6
177.3
2.3
7.8
4.6

384.7
180.7
2.3
7.9
4.7

345.6
203.4
6.8
12.6
7.5

354.8
208.5
6.9
13.1
7.8

355.7
209.5
6.9
13.0
7.8

2

2

(

Maine
Banoor
....
Lewiston-Aubum
Portland-South Portfand-Biddeford.
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg .
Salisbury

Mar.
2005

Professional and business services

2

!

2

2

2

2

()

86.1
23.2

Massachusetts
BamstaWe Town
Boston-Cambridge-Quincy
Leominster-Rtchburg-Gardner .
New Bedford
PittsfieW
Springfield...
Worcester

219.2
4.6
182.5
1.9
2.0
1.7
16.3
14.1

218.2
4.6
181.6
1.9
2.0
1.7
16.3
14.1

218.3
4.6
181.5
1.9
2.0
1.7
16.4
14.2

448.0
9.6
373.2
3.7
3.7
4.0
24.3
28.6

446.0
8.7
372.0
3.9
3.5
4.1
23.1
28.9

457.8
9.5
379.7
4.1
3.6
4.1
24.3
29.9

589.4
16.6
437.2
7.8
11.7
7.2
53.7
46,3

593.5
16.9
442.7
7.9
11.9
7.2
54.2
46.6

594.3
17.0
443 6
7.9
11,9
7.3
54.3
46.8

Michigan
Ann Arbor
Battle Creek
Bay City
Detroft-Warren-Uvonia
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
KaJamazoo-Portage
Lansing-East Lansing
,
Monroe
Muskegon-Norton Shores
Niles-Benton Harbor
Saginaw-Saginaw Township North.

217.1
5.9
1.6
1.4
117.6
6.5
20.9
3.1
2.3
7.6
15.7
1.6
1.9
2.2
5.1

216.4
5.6
1.6
1.4
116.8
6.7
21.0
3.3
2.3
7.9
15.4
1,6
1.9
2.3
5.0

216.9
5.6
1.6
1.4
116.8
6.7
20.9
3.3
2.3
8.0
15.6
1.7
1.9
2.3
5.1

582.0
27.1
6.4
3.6
357.1
D9.2
51.8
98
4.8
14.1
21.5
3.3
4.2
4.9
9.0

561.3
26.8
6.5
3.6
344.1
19.1
50.9
11.9
4.7
14.0
21.1
3.2
4.0
4.6
8.7

569.0
27.0
6.5
3.6
350.7
18.8
50.6
11.6
4.7
14.2
21.5
3.2
4.0
4.6

as

559,2
22.7
9.6
5.4
258.3
24.5
52.7
10.3
9.5
19.3
26.3
4.4
10.2
9.6
14.6

557.0
23.0
9.2
5.4
256.7
24.4
53.7
9.7
9.3
19.8
26.0
4.5
10.2
9.7
14.9

558.2
23.1
9.2
5.4
258.6
24.5
54.1
9.4
9.3
20.0
26.4
4.5
10.1
9.8
15.0

Duiuth
Minneapolis-St Paul-Bloomington .
Rochester
St. Cloud

176.5
5.9
140.0
2.8
4.0

178.0
5.9
141.6
2.8
4.1

178.7
5.9
142.1
2.8
4.1

299.8
7.1
244.6
5.4
7.3

297.3
7.0
242.3
5.4
7.2

302.6
7.2
245.5
5.5
7.3

378.2
24.7
216.4
35.7
14.2

387.1
24.9
221.7
36.4
14.1

387.1
25.0
223.0
36.5
14.3

46.4

32.9

85.2

85.8

119.4

122.1

Mississippi
.....
Gulfport-Bitoxi
Hattiesburg
Jackson
Pascagoula
Missouri
Columbia ...
Jefferson City
joplin
Kansas City
St. Joseph
St. Louis 3
Springfield

2

45.9

46.1
2

16.1
(2)
162.5

()
28.0
(2»

)
28.9

166.5

307.2

300.9

2

>
71.4
2
)
77.8
11.6

)
71.3
)
78.2
11.8

106

)
33.0

28.8
2

305.5

<•>
(2)
128.8
(2»
181.2
14.6

()
128.6
2
>
180.6
14.8

)
130.0
C2)
183.2
15.1

)
34.1

122.2
2

( )
34.3

2

2

2

358.9

364.1
!

365.4

2

2

See footnotes at end of table.




16.1

2

165.3

2

)
70.7
2
)
77.1
11.4

<22J
( )

()
109.0
(2)
195.8
32.2

109.4
)
199.0
33.0

2

()
109.5
(2)
199.8
33.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by mafor industry—Continued
(In thousands)
Other servicesi

Leisure and hospitality
State and area

Apr.
2004

Mar.
2005

Apr.
2005P

Apr.
2004

Mar.
2005

53.6

Kansas
Lawrence ............................
Topaka........
Wichita
...............

110.3

109.6

112.0

6.3
9.1

6.3
8.8

6.3
9.2

25.8

25.1

25.6

12.3

12.2

Kentucky
Bowling Green
........................
ESSzabethtown .,.,......,.
Lexington-Fayette
Louisville ........................................
Owensbora

162.2

159.9

166.4

78.7

79.0

57
3.3

5.8
3.8

5.9
3.9

25.2
58.5

24.5
57.4

25.5
60.2

4.3

4.4

4.5

UMitotaiM..........................................
Alexandria
Baton Rouge .................................
Houma-Bayou Cane-Thibodaux....
Lafayette........................................
Lake Charles
Monroe ..........................................
NewOrfeans-Metaieie-Kenner
•
Shreveport-Bossier City.................

204.1

C2>

30.3

208.0

C2)

30.5

30.5

6.3

6.6

6.8

13.9
11.3

13.5
11.4

13.7
12.0

C2)

82.7
23.3

Maim

205.4

C2)

C2)

86.4
23.2

<2>

87.3
23.6

53.5

50.2

54.7

5,3
3.3

5.4
3.3

5.5
3.4

17.8

16.4

18.4

Marytand
BaJtimore-Towson .........................
Cumberland „
Bagerstawn-Martinstiurg ...............
Salisbury

219.3
108.4

223.0
107.3

232.6
111.7

3.5
8.7
4.2

3.2
8.6
4.2

3.3
8.9
4.3

Maaaaehuaatla
Bamstable Town............................
Boston-Cambrfdge-Qujncy ...........
Leominster-RtchburghGardner......
Hew Bedford ..................................
PMafiakt..........................
Springfield.............................
Worcester......................................

282.2
14.8
202.4

277.3
12.4
198.4

290.7
14.8
207.4

4.7
6.4
4.2

4.7
6.3
4.7

4.9
6.5
4.4

26.7
21.3

25.7
20.4

27,4
21.5

Mlcsilgsfi ................................
Ann Artxsr
Battle Creek

....
...

395.1
14.4

385.4
14.2

399.2
14.4

BayClty .........................................

5.5
4.8

5.6
4.6

6.0
4.8

Detrojt-Warren-Livonia
Flint................................................
Grand Rapids-Wyoming ................
Holland-Grand Haven
Jackson
...
Kalamazoo-Portage.......................
Lansing-East Lansing ..................
Monroe
Muskegon-Norfon Snores....
Niles-Benton Haiteor
SagSnaw-Saginaw Township North

181.5
15.2
31.2

173.2
15.0
31.8

7.7
S.8

Bangor
Lewiston-Auburn
Portland-South PoriSand-Bicfdeford

(2)

5.0

(2)
(2)
10.2
29.5
2.5
71.3
<2>
13.7
<2>
4.8
<2)
(2)
22.6
7.9

53.8

(2)

(2)
<2>

10.3
29.1

<2>
(2)
<2>

113.9
54.2
( )
3.9
«2>

5.0

261.8
14.6
27.9
41.0

79.6

3157
10.4

313.9

78.2

315.0
10.1
11.8
42.8
78.4

9.9

9.9

3)85.3
15.6
76.4
14.3
15.9
15.1
14.6
106.8
33.0

386.0
15.6
75.0
14.5
16.1
15.0
15.0
107.1
33.9

385.8
15.5
75.0
14.6
16.1
15.0
14.8
106.8

107.9
14.0

108.6
14.0

108.6
14.1

C22)
( )

10.4
29.2

2.5
71.9
14.3

C2)
(2)
(2)

5.0

22.9

22.2

8.1

8.2

19.7

20.0

1.7
1.3
5.8

1.6
1.3
6.0

116.1
54.1

(2)
2

C)
115.2

6.0

6.0

26.1

26.3

467.8
220.0

473.9
217.8

473.1
2187

8.4

8.4

3.9

15.8
10.6

15.5
10.5

8.5
157

115.4

4157
14.6
2947

412.8
14.5
291.9

414.2
14.5
293.1

8.6
9.1
4.5

8.4
9.0
4.4

8.2
9.1
4.4

49.2
34,9

48.3
34.4

48.0
34.4

701.1
68.8

711.6
69.1

707.8
70.3

116.8
54.6

( )
2

3.9

3.9

85.5

86.0

1.8
2.5
1.4
9.2

1.8
2.5
1.4
114
9,1

177J2

177.3

178.3

6.2
2.5
2.6

6.2
2.5
2.5

6.1
2.5
2.5

182.0
15.4
31.6

99.8

96.7

96.4

6.9

6.8

6.8

17.0

16.7

16.8

7.3
5.5

7.8
5.6

15.0
19.6
4.0
7.1
S.O
9.5

14.1
19.5
4.1
7.0
5.6
9.0

14.4
20.3
4.3
7.2
5.9
9.7

4.5
2,9
6.7
10.8

4.4
2.7
6.6

4.4
2.7
6.6

2.1
2.5
2.8
4.4

10.7
2.2
2.6
2.8
4.3

Mlnnaaota .........................................
Duluth
yfnneapoifs-St Pau!»B!oomington
Rochester ......................................
St. Cloud

231.0
12.9
152.3
8.5
8.5

226.4
12.4
149.3
8.3
8.2

235.2
12.9
154.9
8.5
8.5

119.0
5.9
76.1
3.8
4.5

117.0
6.1
74.8
3.7
4.5

Mississippi

125.8
30.2

125.0
28.6

5.7

6.0

127.6
29,1
6.1
21.3

38.0
<2>
<2>
10.4
<2)

37.7
(2)
(2)
9.7
«2)

Gulfport-BMo^IZlIZlZZZ
Hanfaaburig
Jackson .........................................
Pascagoula ..a..................................
Missouri
Columbia ......................................
Jefferson City..................................
Joplin ..............................................
Kansas City
.,
St. Joseph.......................................
9
St. Louis .......................................
Springfield ......................................

21.5

(2)
269.1

20.6

C2)

258.1

(!)

iz2)

C2)

2

269.3

(!)

( )

C)
I2)

C22)

C2)

C2)

C2)

92.8

137.7
17.3

91.2

( )

93.3

136.8
18.5

132.9
17.9

See footnotes at end of table.




107

119.7

11,4

120,1

(?)
(22)
( )40.6

<2>
(2)
(2)

(2)

(2)

10.6

107
6.4

107
6.2

107
6,2

244.1

10.8
2.2
2.6
2.8
4.3

242.9
25.4
39.2
16.4
11.4
23.4
67.5
6.5
97
8.2
13.2

39.8
17.2
11.5
24.9
67.9
67
9.9
8.3
13.3

244.1
25.5
39.2
17.3
11.4
23.9
67.9
6.6
9.6
8.3
13.2

117.5
6.0
74.5
3.7
4.5

420.5
27.8
246.1
10.5
14.3

422.5
28.0
248.4
10.6
147

423.6
28.2
249.6
107
14.6

37.7

245.8
24.1
14.3
55.3
11.4

246.9
24.4
14.3
56.1
11.1

246.8
24.3
14.4
55.8
11.1

442,1
30.0
29.1

442,5
30.4
29.1

442.3
30.3
29.0

<225
( )
C2)

97

120.8

(2)
(2)
(2)

41.2

337

6.0

C)

115.9
3.7
85.8
1.8
2.5
1.4
11.1
8.9

117
437
777
9.5

9.8
117
427

25.8

2

3.9

Apr.
2005P

262.3
14.8
28.0
41.0

(2)

14.2

Mar.
2005

257.8
15.6
28.4
39.7

72.5

(2)

Apr.
2004

54.3
<2>
5.1
12.1

2.4

20.0
2.1
1.3
6.0

2

5.1

Government
Apr.
2005?

41.0

(2)

58.6

58.5

58.9

8.5

8.5

3.6

257

9.4

9.6

9.6

147.1
10,2
170.8
23.4

149.8
10.4
170.1
23,9

150,0
10.4
170.0
24.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Total
Slate and area

Apr.
2004

Mar.
2005

Natural resources and mining
Apr.
2005P

Apr.
2004

Mar.
2005

68

409.0
73.1
33.4
53.6

407.6
73.1
34.1
53.4

413.7
74.1
34.6
53.6

920.4
166.8
442.4

926.1
169.5
447.2

933.7
170.3
453.0

Nevada
Carson City
Las Vegas-Paradise .
Reno-Sparks

1,140.4
31.8
803.9

1,197.0

1,213.7
32.7

9.2

863.2

206.0

212.7

215.0

.4
.4

New Hampshire
Manchester
Portsmouth ..„.,........,
Rochester-Dover

620.7
98.9
53.6
55.2

625.5
99.1
53.7
55.3

629.0
99.8
54.1
55.6

3,970.7
148.0
39.2
230.7
61.9

3,999.7

4,035.7
147.5

Billings
Great Fails.
Missoula ....
Nebraska

Lincoln
...,.„.
Omaha-Council Bluffs...

New Jersey .............
Atlantic City

,

Ocean City
Trenton-Evwno
Vineland-MilMHe-Bfidtieton .
New Mexico
Albuquerque .
Farmington ...
LasCruces ...
Santa Fe
New York
Albany-Scheoectady-Troy .
Binghamton
Buffalo-Niagara Fails
Elrnira
Gfens Falls

Utfca-Rome...

Greenville
Hickary-Lenoir-Morganton .....
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
North Dakota..
Bismarck
Fargo
Grand Forks.

Ohio

8,390.8
441.5
112.5

8,426.9
443.5

62.9
65.3
6,230.6
249.4
504.4

..

Toledo ......I....!!.!.".!..,.'.'........
Weirton-Steubenvilte
Youngstown-Wamen-Boardman...

39.5
235.3
63.2
804.6
376.1
49.2
63.9
61.4

63.6
61.0

337.5
55.8
110.4
51.7

342.6
56.6

5,369.9
329.3

5,414.7
331.6
177.0
1,026.3
1,071.1
912.9
411.1
57.4
59.2
37.9
52.1

5,394.8
330.1
175.1
1,022.3
1,067.8
909.7
413.2

58.0
59.2
38.0
53.2
330.7
49.8
241.2

176.0
1,017.6
1,061.1

906.6
410.1
57.1
58.9

37.5
51.5

326.8
49.2

329.6
49.3
239.8

See footnotes at &nd of tabfe.




108

131,0
<*)
98.4
22.2

1.0

28.9
5.2
17
2.1

27.8
5.0
1.7
2.0

29.8
5.3
1.8
2.1

1.5
1

162.3
6.6

156.9
6.0

164.1

5.6
3.0

5.7
3.0

1

16.1

5.2

o
(])
0)

( )
( )
(!)

5J

6.9
(!)
( )
?

(?)
( )
(!)
C )
!)

6.2

(1)
< >
(< J>
(
>

( )

O
(((!)))
!

11.5

(!)
o
!

(!)
(
>
( )

o
(!)

293.9
16.0
3.4
17.8
1.1
2.2
1,1

52.2
27.1
9.0
4.1
4.3
311.0
17.3
3.8
19.7
1.1
2.4
1.1
2.8

2.6

328J

214.8
9.8
3.6
48.9
8.7
5.0
2.1
18.3
3.3
4.8
2.8
32.5
4.0
10.2
9.5

219.3
10.2
3.9
50.5
8.9
4.8
2.1
18.5
3.4
4.8
2.8
32.7
3.8
10.9
10.0

224.5
10.5
4.0
51.2
8.9
4.9
2.1
18.6
3.5
4.8
2.9
33.3
3.9
11.0
10.0

3.8

16.3
3.0
6.3
2.5

13.8
2.7
5.5
2.4

16.3
3.1
6.3
2.6

11.8

22B.1*
13.3
9.3
51.7
42.4
40.1
15.2
2.4
2.1
1.4
1.8
15.4

216.9

229.2
14.2
9.5
53.1
43.8
41.2
15.2
2.4
2.1
1.5
1.8
15.9
2.0
10.7

(J)
(!)
(?)

6.3

( )
(?)
(?)
(?)
c )
(?)
( )
c )
(?)
(?)
(1)

C )
C1)

11.7

9.1
4.0
4.2

316.7
10.4
14.9
10.4
2.7

(!)

O
!
(!)

307.3
17.1
3.9
19.0
1.2
2.3
1.1

51.0

26.6

5.9
3.1

2.6

3.7

3.4

49.0
25.0
8.5
3.9
4.6

6.3
<*>

321.5
10.7
16.4
11.4
3.2

(M

111.5
51.9

238.2

96.8
21.0

C1)

15.9

5.3

( )

337.1
55.3

127.7

85.1
19.0

O
(?)

(!)

8,261.5
251.8

3,879.0
166.1
60.5
793.1
268.1
119.5
43.7
361.3
71.2
167.0
41.6
450.6
62.6
130.6
213.6

113.5

10.2

(!)
C )
(V)

63.9
66.7

3,844.2
163.5
60.2
788.9
267.6
119.2
43.5
357.9
71.0
166.6
41.1
447.3
62.3
128.6
2\2.B

48.1
8.5
26.2

?

63.5
66.1

3,818.9
163.3
59.8
765.9
265.0
118.4
43.2
354.8
68.3
165.6
41.1
440.5
62.5
125.8
206.6

(?)
(1)
( )

25.3

45.8
8.1
24.7

t2)

1.4

?

(O)

316.9
130.4

10.2

1.6
1

14.8

22.8

Apr.
2005P

(*)

48.3
8.8

1.0

0)

24.4

Mar,
2005

25.5

( )

(1)
< >

Apr.
2004

<!>
(*)
(2)

2

8,479 0

316.7
130.1

7.7

(!)
( )
(1

?

449.1
112.1
542.9
39.1
51.9

500.9

7.7

(*)

(?)
< )

111.5
542.0
39.1
51.0

8,312.9
253.3
503.5
320.4
130.7

109.6
50.6

.

Akron
Canton-Massilton
Cincinnati-Middletown
Cleveland-Byria-Mentor
Columbus
,
Dayton
,
Lima
Mansfield
Sandusky....

799.1
374.4
49.0

51.6

North Carolina
Ashevilte
Burlington
Charlotte-Gastonia-Concord.
Durham
.....
Fayetteville
Gddsboro
Greensboro-High Point

1452
39.0
232.4
62.7

790.0
370.3
47.6
62.6
60.4

542.6
39.9

Kingston....
New York-Northern New Jersey-Long island .
Poughkeepsie-Newbuirgr^Middletown
Rochester
,

32.5
850.5

<*>
iZ)

Construction

Apr.
2005P

9.9

13.1
8.9
51,7
41,4
38.5
14.3
2.3
1.9
1.4
1.7
15,2
1.9
10.0

10.9
16.2
11.8
3.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Manufacturing
Apr.
2004
Montana
Billings
Great Falls
Missoula

Mar.
2005

.*pr.
2CI05P
19.0

18.9

18.8

(!)

w(J)

Trade, transportation, and utilities

(J)

w

Apr.
2004
85.5
18.4

Mar.
2005
84.3
18.1

Apr.
2005?

Information
Apr.
2004

855
18.2

7.5

7.5

7.6

12.2

12.2

12.3

7.7
<*>
(2)

Apr.
2005?

Mar.
2005

.8

7,7
<2)
<2)

.7

<2>
<2>

7,9
.8

215
4.2

100.1
15.4
32.7

98.9
14.8
33.0

98.8
14.7
32.7

193.7
28.3
95.9

198.1
29.2
99.2

199.3
29.6
99.9

213
3.8
13.4

13.2

13.2

Nevada
....................
Carson City .............;..........
Las Vegas-Paradise
Reno-Sparks......................

45.4

46.8

46.8

200.8

206.5

207.7

115.7

14.3

14.8

3.2

3.2

3.2

4.2

4.2

4.2

22.9
14.0

23.9
14.4

23.9
14.4

137.2
43.0

142.4
43.4

143.1
43.7

(*>
112
3.2

New Hampshire....................
Manchester
Portsmouth
Rochester-Dover

79.8

80.8

80.5

9.5
3.9
S5

9.7
4.0
6.4

9.7
4.0
6.4

137.3
20.4

138.3
20.7
10.8
11.0

139.0
20.9

New Jersey.....................
Atlantic City
Ocean City
Trenton-Ewing ...................
Vineland-Mitlville-Bridgetors

337.7

331.3

330.7

8612

4.4

4.4

214
7.3

875.1
21.5

8810
22.0

7.4

7.6

Nebraska

...................

Lincoln
Grraha-Courcii Bluffs ........

Albuquerque
Farmington .......................
Las Cruces
Santa Fe
New York
.,
AJbany-Schenedady-Troy .
BSnghamton
Buffalo-Niagara Falls.........
Qrnira
Glens Falls
Ithaca.
Mew Y o r k - N o r t £
PouoJikeepsie-NewtHjrghMiidl
Rochester................................
Syracuse
Utica-Rome
North Carolina.............................
Asheville

Burlington
Chariotte-Gastonla-Concorcl.....
Durham......
Fayettevill© .........„.„...„„
Gofdsboro
Greensboro-Hfgh Point

Greenville
Hlckory-Lenoir-Morganton
Jacksonville ..............................
RaJeigh-Cary
.......
Rocky Mount.............................
Wilmington
Winston-Sal@m .........................
Nortii Dakota...............................
Bismarck
Fargo
Grand Forks

Ohio
Akron
Canton-Massiilon
Cindnnati-Miocfletown
Cleveiand-Byria-Mentor
Columbus
Dayton ....................................
Lima ..........................................
Mansfield
.........!..,..
Sandusky..................................

Springfield.....
Toledo.......
Weirton-Steubenvjlle
Yoyngst©wn»Warr@n»Boardman

4.5
2

8.9
9.7
35.4
22.5

()

a

8.7
9.7
35.1
22.5

l )

14.7

11
.9

579.5
22.9
17.4
65.4

1,452.9
77.4
20.7
99.7

1,466.2
78.3
20.7
99.7

14714
78.7
20.8
100.2

6.4
7.0
3.9
5.0

5.8
6.7
3.9
4.6

5.8
6.7
3.9
4.6

7.6
9.0
6.1

7.5
9.0
6.7

7.5
9.2
6.7

498.9
24.1
79.2
33.3
13.9

488.5
24.0
75.4
32.9
13.6

487.9
23.7
75.2
33.0
13.4

12.1
1555.3
54.0
81.9
63.4
22.3

12.4
1565.9
55.0
82.5
64.2
22.5

12.5
1568.8
55.4
82.9
64.2
22.5

577.2
22.9
13.7
05.0
40.8
11.6

574.2
22.3
13.5
86.4
40.7
10.9

573.1
22.3
13.5
86.6
40.7
10.7

718.8
29.7

714.7
28.8

9.9

9.8

163.8
32.3
22.1

168.0
32.8
22.3

720.1
28.8
10.0
168.7
32.7
22.5

8.6

8.5
718
113

6.5

6.6

$5.8

6S.6

7.3

7,0

S7.4

31.5

S6.0
.9
30.4
12.4
6.0
32.2

53.1
.9
30.5
12.5
3,0
32.4

23.9

24.7

24.9

2.8
8.7
3.3

2.9
9.0
3.5

2.9
9.0
3.6

823.2
49.5
31.3
124.5
150.6
81.8
60.2
10.4
13.8

822.2
49.0
31.4
126.2
153.0
80.2
57.1
11.0
13.6

822.0
49.1

7.8
8.0

6.9
7J

6.8
7.9

51.9
10.3
41.1

9.3

92

8.5

8.0

7.9

40.4

40.6

50.4

49.3

49.7

m.&
7.0

315
127.9
153.3
80.7
56.9
10.8
13.6

49.7

109

28.7

7.5
02.5
12.7
26.4
39.4

8.6

8.7

72.1
11.3
28.8

72.8
11.3
28.8

7.8
813
12.7
26.5
40.5

()

5.9
1.0

< )

6.0
1.0

14.0

14.0

8.7
2

8.6
2

( )

1.2
.9

269.8

2.2
9.9
.7
11
.7
2.9

114
2.1
9.6
.7
11
.6
3.3

288.6

287.4

( )

12
.9

2714
11.4

2.1
9.6
.7
11
.6
3.1
287.6

4.5

48

4.7

12.2

12.1

12.0

7A
3.5

7.1
3.4

6.9
3.4

719
19
,4

70.4

1.9
.4

715
1.9
.4

23.0

23.5

24.0

3.5
2.1
.3
6.8
1.0

3.4
2.1
.3
6.1
1.0

3.3
2.2
.3
6.1
1.0

11
10

1.1

.9

10

82.0
12.7
26.8
40.4

17.1

17,3

17.2

1.3
1.7
2.1

1.3
16
2.0

13
17
2.1

7.6
1.5

7.6
1.5
3.2
.7

7.6
15
3.1
.7

4.6
2.2

913
4.7
2.2

911
4.6
2.2

16.0
20.0
19.5
10.9

16.3
20.0
19.6
10.8

16.3
19.9
19.7

7.9

72.4
11.4
24.7
10.9

72.4
11.7
25.5
10.9

73.4
11.8
25.7

111

.7

1,025.5
65.2
33.9
207.3
197.8
180.5

1016.6
64.8
33.3
202.9
194.4
180.9
69.7

1,020.5
64.8
33.6
203.8
195.4
1817
70.3
11.6
10.3

921.5

713

1.0

2

9.6

270.1
11.1

96.0

1.1
z

136.8
65.9
10.4

582.0
22.7
17.4
65.5

49.9

11

136.6
65.7
10.4

9.6

96.6

98.8

136.8
65.9
10.1

10.1

8.1

3.3
18
1.3

35.1
22,3

9.6

.9

12.9

3,3
18
1.3

6.4
.9

10.0

30.2
12,3

12.7

3.4
16
13

32.0
13.3

9.3

594.6
22.6
17.5
66.4

112.5

32.1
13.0

10.1

3.7
12

3.0

111
110

3.6
12

12

as

10.4

3.0

32.1
12.5

l>

(2)

C2)
10.0

8.7
9.7

a

See footnotes at end @f table.




111
114

216
4.2

11.7

115

10J

10.3

7.4

7.1

7.2

10.9
64.1

10.6
64.0

10.7
64.3

51.2

(2)
(2)
(2)
<2>
(2)

4.7
3.5

1.1

110

C2)
<22)
C2 )
( )

2
)
<*>

C2)

<2>

4.7

2.9

I 22 )

4.6

2.8

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Professional and business services

Financiaf activities
Apr.
2004

Mar.
2005

21.2

20.8

Montana,

Apr.
2005P

2

Great Falls...
Missoula

Apr.
2004

Mar.
2006

Apr.
2005P

Education and health services

Apr.
2004

Mar.
2005

Apr,
2005P

21.3

33.2
9.0
2.3
4.9

32.7
8.6
2.3
4.5

33.7
8.9
2.4
4.7

54.5
10.7
6.0
8.0

54.7
11,3
5.6
8.0

54.9
11.3
5.6
8,0

>

Nebraska
Lincoln
OmaharCouncil Bluffs..

62.7
11.5
36.9

63.7
12.3
36.9

63.8
12.3
36.7

94.3
16.3
60.7

95.2
17.2
60.7

95.3
17.1
61.3

126.3
23.2
61.8

127.7
23.7
62.8

128.5
23.8
63.6

Nevada
Carson City
Las Vegas-Paradise .
Reno-Sparks

60.7

63.6
<2)
47.9
10.7

64.1
(2)
48.4
10.8

130.6
2.4
94.5
22.8

139.6
2.4
102.3
24.8

142.4
2.5

79.4

83.5

45.4
10.6

1033
25.5

53.6
19.2

56.6
19.9

84.0
(2)
57.0
19.9

New Hampshire
Manchester
Portsmouth „
Rochester-Dover.

37.1
8.8
4.7
2.6

38.3
8.8
4.8
2.6

38.2
8.8
4.6
2J

57.3
11.9
8.2
3.6

54.S>
11.3
7.0
3.7

55.8
11.5
8.0
3,7

94.6
15.9
5.5
7.2

96.6
16.5
5.6
7.5

96,6
16.6
5.6
7.5

275.8
4.3

279.5
4.3
<2)

280.3
4.3
(2)
16.2
2.0

581.7
9.8
( )
34.7
3.5

579.1
9.6
( )

584.7
9.9

544.4
17.1
4.4
43.0
9.1

559.8
17.4

561.1
17.5

4.6
42.5
9.2

4.6
42.7
9.2

103.1
4S.3
5,4
8.9
8.3

106.0
47.4
5.5
9.3

106.8
47.4
5.5
9.3
8.5

1,535.31
79.1
15.0
84.8
8.2
7.7

1,558.9
80.4
15.0
85.3
8.3
7.8
33.0
10.3
1f390.3
47.4
102.2
55.4
24.4

New Jersey
Atlantic City
Ocean City
Trenton-Ewing
VineJand-MHMIIe-Bridgeton .

15.8
2.0
34.3
19.0

New Mexico.....
Albuquerque .
Farmtngton ...
Las Cruces ...
Santa Fe
New York
Albany-Schenectady-Troy
Binghamton ,.
..„„...,..,....
Buffalo-Niagara Fails
Elmira
Glens Fails
Ithaca
Kingston
New York-Northern New Jersey-Long island .
Poughkeepsie-Newburoh-MiddJetown
Rochester
Syracuse....
,
Utica-Rome

,

Mickory-Lenoir*Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Wlnston-Saiem
North Dakota ..
Bismarck,
Fargo
Grand Forks.

Ohio
Akron
Canton-Massillon
Ctncinnati-Middletown
Clevefand-Byria-Merrtof
Columbus
Dayton
Uma...
Mansfield
Sandusky
Springfield

Toledo
Weirton-Steubenville
Youngstown-Warren-Boardrnart .

35.1
19.3
2
( )

2,4
2.8

2.4
2.9

694.4
25.7
4.6
34.6

705.3
26.6
4.6

2.6
763.1
10.0
21.7
16.9
7.7

,

35,2

703.8

1,048.0

50.0

1,048.8
49.9

1,062.4

26.3
4.6
35.3

10.3

9.9

10.0

63.3
2.0
3.7

62.0
2.1
3.7
2.8
4.2
1,208.5
20.2
55.3
33.7
9.4

63.4

1.6
2.1
1.6
2.7
778,6
10.2
21.1
17.2
7.8

9.6

12.8

10.9
4.1
1.5
19.8
2.5
3.7
1.4
24.4
3.1
6.2
12.6

18.5
3.0
8.0
1.6

18.7
3.0
8.2
1.6

310.7
14.6
8.1
65.0
80.2
74.5
18.8

310.7
14.7
7.9
63.9
80.7
74.6
18.1
2
< >
1.7

2.9
13.1
( )
10.0

9.7

2.1
3.8
2.9
4.3
1,223.6
20.4
56.4
34.4
9.4

32.6
10.2
1,364.7

46.3
100.1

55.2
23.9

442.4
15.0

4.5
12.6
22.3

18.8
3.0
8.2
1.6

24.2
4.7
10.4
2.8

23.6
4,7
10.0
3.0

24.1
4.7
10.0
3.0

46.5

310.3
14.4
7.9
64.0
80.8
746
18.0
2
<>
1.7
(2)
2.9
13,1
2
)
10.1

619.4

630.4
44.3
15.3
144.7
129 9
1319
52J
4.7
47
1.7
2»8
34.1
2.9
18.0

640.8
44.9

747.1
42.8

15.0
146.4
133.9
1322

130.9
164.3
1G2.1

See footnotes at end of table.




2.8
4.3
1,220.8
19.8
56.1
332

50.8

437.0
14.6
8.1
116,2
33.0
11.5
2.4
43.9
6.7
12.1
4.0
71.1
4.4
13.2
23.7

69.5

2

3.6

5.0
5.2

193.0
5.5
2.4

< )

91.7
59.3

4.9
5.2

424.7
15.1
7.9
109.6
34,1
11.8
2.5
42.9
5.8
11.7

2.9
13.0

35.2

5.0
5.0

10.3
21.2
17.2
7.8

2

C)

33.9
3.5

58.9

194.3
5.6
2.4
70.5
10.9
4.1
1.5
19.7
2.5
3.7
1.4
24.4
3.1
6.3
12.8

1.8

2

19.3
< >
2.5
2.9
2

2.6
776.3

23.9
2.8
6.0

2

91.0
59.5
2
< >

35.1
1.6
2.1

1.6
2.0
1.0

191.7
5.3
2.4
67.1
10.9
4.1
1.5
19.8
2.5
3.6
1.4

North Carolina
Asheville
Burlington
Charlotte-Gastonia-Concord
Durham
FayetteviHe
Goidsboro
Greensboro-High Point

Greenville

16.1
2.0

2

110

4.0
69.2

14.5
143.9
132.4
133.1

53.6
4.9
4.8
1,8
3.0

34.6
3.0
18.6

ai
115.2
33,1
11.3

2.4
44.6
6.8
122
4.0
71.9
4.5
13.5
23.7

53.2
4.9
4.6
1.7
2.8
35.1
3.0
17.9

443.1
26.4
7.8
64.0
45.8
11.4

5.0
41,6
7.8
16,3
3,4
40.4
6.4
12.9
38.3

9.5
15.7

28.6

63.5
10.6
7.8
4.4
10.2

46.9
9.6
41.3

8,6

457.3
27.0
7.9
66.5
46.7
11.8
5.2
43.4
8.3
16,9
3.6
41.8

1,562.1
81.3
15.0
84.8
8.2

ao

33.0
10,3
1,390.5
47.4
101.6
55.9
24.4
459.5
27.3
7,9
66.3
47.1
11.9

5.2
43.6

6.5
13.6
40.1

8.4
17.1
3.6
41,9
6.5
13.7
40.2

40.6
9.7
16.0
8.4

49,4
9.6
15.7
83

757.4
43.2
28.5
131.0
167.2
102.6
64,1
10,1
7.9
4.5
10.1

758.0
43.3
28.6
131.3
167.7
102,7

63.9
10.2
7.9
4.5
10.2

46.6

46.7

10.1
40.9

10.2
41.1

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(in thousands)
<Dther services

Leisure and hospitality
State and area

Apr.
2004

Montana
Billings
Great Fans

Missoula
NeKwaska
Lincoln
Omaha-Council Bluffs
Nevada ................................................
Carson City .....................................................
Las Vegas-Paradise ........................................
RanxhSparics........................
New Hampshire
Manchester
Portsmouth
Rochester-Dover
New Jersey
Atlantic City
Ocean City
Trenton'Ewing

.....................
....................

New Mexico
Albuquerque
Farmfngtor?
.... ....................
Las Cruces ......................................................
Santa Fe
..........
New York
Albany-Sehenectady-Troy

Binghamton
Buffalo-Niagara Falls .......................................
Elmim .............................................................
Glens Fall®.......................................................
Ithaca.
Kingston.
New York-Northern New Jersey-Long Island ..
Poughkeepsie-Newburgh-Middietown...........
Rochester........................................................
Syracuse..........................................................
Uttea-Rome ......................................................
North Carolina.......................
AshevTOa
Burlington
Chariotte-Gastonia-Concoraf
Durham.................................
FayettevjH©
Goldsfeoro
Greensboro-High Point
Greenville
Hjckory-Lenoir-Morgariton
Jacksonville
Rafefeh-Cary........................................
Rocky Mount

.......

Wilmington.......................................................
Winston-SaSem
North Dakota
Bismarck.................................
FafQO
Grand Forks
Otij©
Akron
CantonHMaaaRlon.............................................
Cincinnati-MWdletown
Qeveiand-Elyria-Merrtor
Columbus
.,

Dayton
Uma
MtanafteW ................
Sandusky
Springfield

,'.......'..

Toledo......
Weirton-Steubenvjll©
Youngstown-Warren-Boardman

«...

67

16.7
(2)
(2)
(2)

16.9
<2>
(2)

Government
Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2005P

138.6

87.5

9.6

9.6

5.6
10.6

6.0
10.1

87.3
97
5.9
10.1

34.4
6.8
16.5

162.0
37.0
59.3

161.8
37.3
59.6

162.5
37.3
60.2

39.1

26.2
8.1

140.3
10.6
154/1
27.8

146.1
11.1
88.5
28.6

146.1
11.1
88.8
28.3

19.8
4.2
1.6
1.9

19.9
4.2
1.6
19

93.1
11.5
9.5
13.6

B4.1
11.5

93.6
11.2
9.7
14.0

153.0
4.1
( )
7.5
2.0

156.1
4.1
( )
7.6
2.0

158.4
42
< >
77
2.0

640.3
22.9
9.4
62.2
115.6

650.9
227

28.1
11.7
2
( )
1.5

28.5
11.9
2
( )
1.5
2.8

28.6
11.8
2
( )
1.5
2.8

200.9
75.3
11.4
20.8
15.7

204.2

6.2
8.8

83.3
36.9
4.9
6.3
9.0

638.8
30,5
9.0
45.7
3.2
5.5
3.8
6.8
591,2
19.1
37.4
25.7
8.8

642.7
30.2
87
45.6
3.1
5.4
3.6
6.8
594.2
18.7
35.7
25.8
8.6

659.2
31.5
8,9
45.9
3.1
5.6
3.9
7.2
611.9
19.8
36.9
26.4
8.8

350.0
18.4
4.5
23.0
1.7

356.1
18.6
4.4
23.4
1.6
2.1
1.3
2.9
348.6
9.5
18.8
12.7
5.0

1,494.1
109.6
24.8
96.2

1,500.2
109.5
25.3
97.0

7.3

7.3

11.1
8.9
16.0
1,281.9
51.4
80.0
57.8
32.2

10.8

1.4
2.8
344.1
9.5
18.9
127
5.0

353.9
18.5
4.4
23.5
1.6
2.2
1.3
2.9
346.5
9.4
187
12.6
5.0

16.4
1,287.2
51.6
82.1
57.6
33.0

1,496.4
110.3
25.1
95.2
7.4
107
8.9
16.3
1,2887
51.3
81.9
57.9
32.9

345.0
19.6
5.3
69.5
20.0
12.5
3.6
29.9
7.2
11.9
5.8
38.6
4.8
17.8
18.1

335.3
20.2
5.4
70.1
18.8
12.5
3.5
28.9
7.5
12.2
5.4
39.0
4.4
17.5
19.0

347.5
21.5
5.4
72,3
19.4
12.6
3.5
30.5
7.5
12.2
5.5
38.7
4.4
18.4
19.1

165.8
7.1
1.8
35.0
18.5
3.8
1.8
15.5
2,2
5.8
17
217
2.3
5.9
8.7

167.9
7.2
1.6
35.4
18.0
3.9
1.8
15.6
2.2
5.8
1.7
22.8
2.3
5.9
87

170.2
7.3
1.6
35.6
18.0
4.0
1.9
15.8
2.2
5.8
17
23.0
2.3
6.0
87

659.0
25.5
7.2
100.0
50.4
34.0
11.4
42.4
19.9
24.3
12.6
84.4
11.4
24.2
23.6

668.9
25.8
7.2
102.8
54.4
35.3
11.5
43.0
21.1
25.2
12.6
86.5
11.4
25.2
2AA

669.6
25.9
7.2
1027
54.0
35.3
•11.5
43.0
21.0
25.2
127
867
11.4
25.2
24.2

30.0
5.0
11.0
5.2

30.7
4.9
11.1
5.5

31.5
5.2
11.6
5.5

15.1
2.8
4.9
1.9

14.9
2.6
5.0
1.8

15.0
2.9
5.0
1.8

77.2
11.6
167
13.5

77.8
11.9
16.9
13.9

77.8
11.9
16.9
137

489.9
30.3
16.4
102.7
90.1
86.2
37.1
5.3
5.3
6.3

471.2
29.5
17.6
98.8
S8.6
S5.3
39.4
4.9
4.9
5.3
5.0
31.0
4.8
22.8

490.5
30.3
17.0
102.8
91.0
87.8
39.3

227.7
137
8.8
43.0
44.5
38.8
16.8
(2)
27
(2)
2.8
15.5

227.2

228.3
13.7
9.0
42.6
437
38.9
17.4

817.9
52.4
22.0
137.3
145.5
153.1
65.8
7.4
8.9
5.9
8.3
52.2
6.4
32.8

814.5
52,3
21.9
137.8
141.5
154.3
66.3
7.0
9.2
5.6
7.9
52.3
6.6
33.3

812.2
52.3
21.9
138.1
141.6
153.4
65.9
7.0
9.0
5.6
8.0
51.9

54.1
10.0
5.1

77.0
15.6
39.9

78.5
15.8
40.8

81.5
16.0
427

347
6.9
16.3

34.8
6.9
16.3

311.3

319,8

3.0

3.9

247.1
38.7

255.7
38.4

327.5
4.0
2627
387

33.5
(2)
22.4
7.3

38.9
<2>
26.0
8.1

58.5

61.2
8.1
5.7
4.9

617
8.3
5.9
5.1

207
4.1
1.6
1.9

313.0
54.1
5.4
14.5
3.5

326.1
55.4
7.6
15.1
3.6

83.0
37.1
4.9
6.2
9.0

81.7
35.6
4.8

aa

56.2
7.5
14.5
3.6

5.3
32.4
5.5
23.0

9.7
4.8
6.6

5.0
5.1
5.6
5.2
32.3
5.1
23.4

me footnotes at end of tab!©.




Mar.
2005

53.2

3i as
...,..........,.......,...,.„.,...<

Apr.
2004

Apr.
2OO5P

52.0
9.6
4.7
6.5

5.8
5.0

Vinelan«*-Mt(Svaie-BrkSgeton

Mar.
2005

Ill

2

2.8

2.2

2

( )
10.9

C2)

2

137
9.0
42.3
43.8
38.7
17.5

C2)

27

(2)
2.8
15.9
2
< >
1Q.6

17.0

C22)
C2)
C)

C2>

2

C2>
C2)

2.8

2.8

16.0
( )
10.8
2

9.8
14.0

9.3
65.4

15.8
77.2
11.4
20.8
16.4

8.9

651.8
22.5
9.3
65.8
157
204.8
77.0
11.4
20.8
16.5

67
327

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Natural resources and mining

Total
Apr.
2004

Mar.
2005

Oklahoma
Lawton
Oklahoma City .
Tutea

1,472.9
40.6
542.6
390.4

1,488.7
41.2
548.2
397.1

1,500.2
41,5
551.7
399.9

Oregon
.
Bend
Corvallis
Eugene-Springfield
Medford
Partand'VancQuver-Beavertan .
Salem

1,580.4
58.8
37.8
143.0
77.9
941.3
139.6

1,623.4
60.0
37.8
145.5
79.4
959.6
141.9

1,633.1
61.2
37.7
146.4
79.9
963.9
141.8

Pennsylvania. ..,
„...,
Allentown-BeiWehem-Easton .
Altoona
Erie
,
,
Hamsburg-Cartisle
Johnstown
,

5,634.0
329.2
61.9
130.6
322.5
59.5
231.8
47.2
2,741.0
1,134.2
165.2
255.3
72.8
53.9
171.4

5,640.1
330.1
61.6
131.8
321.2
59.6
231.6
47.2
2,753.6
1,124.4
166.6
254.8
72.6
53.8
173.0

5,695.4
332.5
62.4
133.4
324.4
60.1
234.1
47.7
2,776.3
1,137.6
168.7
257.1
73.6
54.5
174.6

485.7
579.5

484,8
575.0

491.5
583.0

1,834.9
63.1
272.2
344.3
88.8
292.6
112.8
121.8
39.7

1,812.9
62.9
276.0
346 0
89.4
291.7
113.7
121,5
39.1

1,827.8
63.5
279A
347.0
89.5
293.7
116.8
121.9
39.4

380.4
57.4
122.1

379.4
57.8
123.0

386.8
58.9
125.5

2,702.8
238.4
80.2
41.2
59.7
78.6
119.7
321.5
615.9
49.5
711.3

2,707.5
238.7
82.0
40.8
60.6
80.2
120.5
325.7
621.9
51.2
719.3

2,728.1
240.5
81.2
41.1
60.7
80.9
120.9
326.9
624.6
513
724.0

9,477.0
62.7
108.1
665.9
155.5
116.8
88.3
168.3
2,691.2
257.1
2,286.4
111.1
77.8
85.0
124.7
185.1
56.6
52.0
43.4
760.6
43.6
53.7
87.0
47.0
102.7
60.6

9,554.7
64.4
109.4
678.5
157.0
119.5
89.5
167,0
2,717.7
258.2
2,305.9
114.6
79.1
87.9
125.9
191.7
57.1
52.4
44.2
769.9
44.7
54.5
88.5
47.6
103.5
61.6

9,593.6
64.7
109.7
682.6
157.7
119.5
89.5
168.5
2,729.7
259.6
2,312.6
114.9
79.2
88.1
126.0
192.8
57.3 j
52.5
44.2
772.2 I
45.0
55.0
88.7
47.9 |
103.7 j
61.9

Lebanon
.
Philaoelphia-Camden-Wilmington .
Pittsburgh
Reading
Scrantorv—Wilkes-Barre
,
State College
,
Wiffiamsport
York-Hanover
Rhode Island
Providence-Fall River-Warwick ,

Apr.
2005P

Apr.
2004

Mar.
2005

4.5

1.8
1.3
18.4

17.6

(!)

(I)
<?>
O
(J)
)

(J)
(M

(>

o
<2)
(
(!)
(!)>
O

South Dakota .
Rapid Cfty....
Sioux Falls ...

Tennessee
Chattanooga
,.......,
............
Clarksville
Cleveland
Jackson
, .........
...
Johnson City
Kingsport-Bristol-Bristol
Knoxville
„
Memphis
„
Morristovm
Nashville-Davidsofv-Murfreesboro.
Texas
Abilene
Amarifto
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Hariingeri
College Station-Bryan
Corpus Christi
Dallas-Fort Worth-Arlington
B Paso
Houston-Baytown-Sugar Land .
Kilieen-Temple-Fort Hood
Laredo ....
Longvtew
Lubbock
McAlten-Edinburg-Pharr
Midland
Odessa
San Angeio
San Antonio
Sherman-Denison
Texarkana
,
y
Victoria
Waco
Wichita Falls
See footnotes at en6 of table.




112

5.1

I( )

i>

.9
.7
2.0
1.3
18.1

o
(?)

(!)
O
(?)

o

(?)
( )

(J)

(!)

4.2

(!)
( )
( )

0

42
(
<
<
(
(

)
>
)
)
)

4.1

4,1

85.5
6.3
1.3
6.8
4.7
54.2
7.3

242.5
15.5
( )
4.6
12.1
2
( )
18.1
(2)
120.7
57,7
8.2
10.1
(
11.0

231.7
15.2
( )
4.1
11.4
(2)
16.2
(2)
119.5
51.8
7.7
9.0

249.1
16,0
( )
4.5
11.8
(2)
16.9
(2)
123.8
56.4
8.4
10.0

()

()

20.2
24.8

18.8
23.0

20.6
25.0

114.6
3.4
20.9
20.®
4.6
ie.7
9.9
6.8
2.8

110.0
3.2
20.8
19.4
4.2
76.6
9.7
7.0
2.7

111.0
3.3
21.2
19.6
4.2
17.0
9.8
7.0
2.7

10.2
4.S
6.6

17.8
4.5
6.2

20.3
4.5
7.0

116.1

115.9
9.0
2.6
1.7
3.5
4.0
6.5
16.7
26.2
1.9
33.6

118.3
9.3
2.7
1.7
3.5
4.1
6.7
17.1
26.5
1.9
34.2

542.9
4.4
7.4
39.1
14.2
4,7
6.0
16.4
156.8
11.6
235.1
5.9
4.1
10.5
5.4
10.4
10.4
6.7
2.9
43.8
3.0
2.5
4.9
6.2
5.7
3.3

546.4
4.3
7,4
39.2
14.2
4,7
6.0
17,1
158.3
11,6
238.1
6.1
4,1
10.3
5.4
10.5
10.6
6.7
2.9
43.9
3.0
2.5
4.9
6.2
5.7
3.3

154.5

154.8
!

((!))
(!!)

c >
(!)
c)

(!)

(J)
()

(!)
(
>
(!)
< 1>

12
6.5
4.5
51.8
6.9

2

at

O
O
(O)

O

I
i

4.1

(!)
( >
(
>
< >

(!)

150.9

83.5
6.0
1.3
6.5
4.6
54.0
7.1

s.e

O)

C1)

(!)
( )
(
( >
>
( )
(
>
< >

79.2

4.6

<!>
(

South Carolina
,
Anderson
,
,
Charleston-North Charleston
Columbia
Florence«.«....*...
.,
Greenville
Myrtle Beach-Conway-North Myrtle Beach .
Spartanburg
.
Sumter

63.0
1.4
24.0
19.2

10.0
.9
.7
1.9
1.3

Apr
2QQ5P

61,2
1.3
23.4
18.6

9.4

O)

Mar.

61.5
1.5
23.1
18.8

31.5

4.6
<!>

.9
.6

Apr.
2004

O)

0)

9.4
!

Apr.
2CO5P

31.8

30.4

(J)

Construction

I

i

2.5
1.7
3.3
3.6
6.7
16.4
26.0
1.8
33.9
543.8
3.7
72
37.1
14.2
4w7
5.7
16,6
155.9
11.3
233.1
5.6
3.9
9.5
5.3
10.9
10.6
6.8 !
2.8
433 •
2.B
2.5
4.8
6.0
SJB

3.3

2

2

10.6

2

2

11.2

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major Industry—Continued
(fn thousands)

Oklahoma
tawton
Oklahoma City
Tulsa

..

..... . . ,
.... .

Oregon
Bend
.
Corvallis
.
Euoene-SDrincsfield

Apr.
2004

.

.. ......................

.

.....».«....

. . .

... .... , . . . . .

PortJand-Vancouver-Beaverton
Salem
.

..,,....
. . . . . .... ....

F * v » ivanla
Allentown-IBeth!ehen>£aston
Altoona . .
....
. . . .
. ......................
Erie
.
..... ... .......
Harrisburg-Carlfsle......................................«........—..
Johnstown
Lancaster . .
.... ................ ......... ......................
Lebanon
.
.
. . .
Philadelphia-Camden-Wilmington .. . .. ......................
Pittsburgh .....
Reading
State College
Williamspoit
York-Hanover

.... . . . . . . .
. ...

.

. . .

............ . . „ .

.

.... ....

Mar.
2005

Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2005P

275.4

274.8

276.5

31.3

31.0

3.8

6.9

6.9

6.9

.5

.5

.5

38.7
46.1

38.0
46.0

96.1
82.4

95.8
80.3

96.4
80.3

113.4
11.6

13.4
11.6

13.7
11.8

195.8
5.5
5.8
19.2
7.0
118.4
13.5

201.2

201.2

324.2
11.8

325.5
12.1

33.9

34.0

5.9
5.6

313.9
11.4

32.8

5.9
5.6

3.9

3.9

4.0

1.5
.8

1.5
.9

19.8
7.3
120.2
13.5

19.9
7.3
120.6
13.1

26.5
17.5
190.8
23.0

26.1
18.6
193.5
23.4

26,3
18.4
194.9
23,5

3.4
1.8
22.4

3.4
1.9
23.1

1.6
.9
3.4
1.9

1.6

1.6

1.6

687.8
45.2
8.5
24.0
25.2
4.5
45.9
9.2
236.9
103.3
31.6
354
5.0
11.6
38.5

381.1
44.8
8.3
24.7
24.1
4.7
44.9

681.3
44.7
8.4
24.7
24.0
4.7
44.9

1,112.6
66.8
14.7
22.6
69.3
11.6
50.5
11.4
532.5
229.9
32.4
57.1
9.9
10.8
37.1

1,118.5
66.9
14.9
22.6
69.5
11.7
50.9
11.5
534.5
231.5
32.7
57.5
10.0
10.9
37.3

112.7

109.6

109.4

7.7

7.5

7.6

2.6
6.4

2.7
6.2

2.7
6.3

4.0

4.0

£6.0
24.3

54.6
23.8

54.6
23.5

2.1
6.4

2.2
6.5

2.2
6.5

9.3

9.3

230.8
101.1
31.6

229.2
101.3
31.7

338

336

4.7
11.8
39.2

4.7
11.8
39.2

1,108.5
66.3
14.7
22.3
68.4
11.6
50.2
11.3
523.3
231.9
32.3
56.9
10.0
10.5
37.2

55.4
73.1

78.2
101.2

77.5
99.1

77.5
99.2

264.5
14.0
21.3
30.2
14.6
44.4
4,4
29.7

351.1
12.5
54.2
63.4
17.0
59.5
22.5
24.6

353.0
12.9
57.4
65.1
17.3
58.8
23.0
2S.1

353.6
12.9
57.9
65.1
17.4
59.3
23.7
25.1

South Carolina
Anderson
Charleston-North Charleston
Columbia
.
.... ...
Florence
.
.,
Greenville
•
. . . . . . .
Myrtle Beasn-Oorwav-Nojift Mvrtfe Beach .
Spartanburg
........I............................
Sumter
,
... .... ,.,. „
,
............ .....

268.2
14.1
21.0
31.2
14.7
45.7
4.4
30.6
10.1

264.4
14.0
21.2
30.4
14.8
44.5
4.4
29.7

9.9

9.9

6.5

6.4

6.4

38.7
3.9
12.4

39.3

39.5

3.9

3.9

12.3

12.6

76.2
12.0
26.5

76.4
12.2
26.7

411.1
35.1
14.7
10.1
10.9
11.1
26.1
38.9

411.1
35.0
14.8
10.0
11.2
11.1
25.9
38.4
53.5
15.9
S4.4

582.1
54.5
13.9

586.5
55.1
14.5

52.8
15.7
83.5

409.6
35.1
14.8
10.0
11.1
11.1
26.0
38.4
53.4
16.0
84.5

9.6

9.9

143.1

887.3
2.9
11.8
56.7
19.1

886.6
3.1
11.9
57.3
18.9

887.8
3.2
11.9
57.5
19.2

7.7

7.9

7.9

5.8
11.4
293.4
241
207.3
8.1
1.6
10.9
5.4
8.9
2.0
3.9
3.8
46.1
6.3
5.5
9.5
5.8
13.5
7.3

5.9
11.2
294.9
22.8
205.7
8.2
1.7
11.2
5.4
8.4
2.1
4.0
3.6
45.9
8.6
5.4
9.6
5.6
13.4
7.6

5.9
11.3
295.3
22.9
206.2
8.2
1.7
11.2
5.4
8.3
2.1
4.0
3.S
45.9
6.6
5.4
9.7
5.6
13.4
7.6

1,926.4
11.8
23.0
113.4
30.9
22.8
11.8
29.4
584.6
55.4
469.3
20.5
25.1
16.8
24.3
39.1
10.5
11.7
7.4
135.6
8.3
11.6
18.7
9.4
17.7
10.8

.... ... .

...

.

Tennessee
Chattanooga
Clarksvflle
...
Cleveland. .....
Jackson
. . . . ....
Johnson City
Kjngsport-Bristol-Bristd
Memphis

..

..
„
.
..... ..... ......

..

............ .....
..

.......... .....

...... ...... ...... .....................................

NashvjHe-Davidson—-Murfreesbore
Abilene...
...
...........
Amarillo
Austin-Round R o c k . . . . .
..
Beaumont~P©rt Arthur ..„.
,„.......,...........
BrownsvH(©-HartSn@en
.„;..........,.,....
College Station-Bryan....... ... . . . . . . . . . . . . . . .
Corpus Christ!
.... ..
.
..
... .....
Dallas-Fort Worth-Arlington
El Paso
. . . .
Houston-Baytown-Sugar Land . . . . . . ,
...... ..
Killaen-Temple-Fort Hood
................................
Laredo
. . . ...... ....
. ..... .... ...
Longview . . ,............... .... .
..
Lufebock
.„„..„.„..
............................

Midland
..... .... . . . . . . .
.
Odessa.
. . .
San Angel©
San Antonio
Sheiman-Denison.........
Texarkana . .. . ....... ..... . . . .
«.
Tyler.. ........ ........................
Victoria
..
Waco
...
Wichita Falls
........ . . . . .

.... .. ,
........
....
....... .... ...
...
. . . .
............ ...

See footnotes at end of table.




31.3

141.7

3.8

§7.0
75.8

...

Apr.
2005P

140.6

....
. . . . . ..... ............

SouthQafcofa
Rapid City
Sioux Falls

Mar.
2005

Apr.
2004

141.6
3.9
38.8
48.7

55.9
73.7

Rhode Island
Providence-Falf River-Warwick

Information

Trade, transportation, and utilities

Manufacturing
State and area

113

/ 2\
/ 2\

23.3

(2)

4.0

1.8

1.8

11.1
11.9

10.8
11.6

10.7
11.5

26.4

1.9

26.1

26.2

.4

.4

3.7
SO

3.7
5.9

1.2
7.1

1.1
6.1

.4
3.7
5.9
1.1
6.2

1.6
1.0

1.6
1.0

1.6
1.0

78.3
12.4
27.3

(5.7

6.6
1.1

6.6
1.1

2.6

2.7

2.7

588.5
55.2
14.3

49.7
2.9
1.3

48.2
3.1
1.3

48.3
3.1
1.3

1.1

7.3

7.5

7.5

.3

.3

.3

12.3
13.0
24.2
67.7
168.0

12.4
13.5
24.2
69.6
172.3

.7
2.4
1.8
(1.3

.7
2.4
1.7
6.2

.7
2.4
1.7
6.3

8.8
.7

8.4
.7

8.4
.7

146.4

12.4
13.7
24.3
69.6
172.1
10.1
146.4

19.3

18.9

18.9

1,940.3
12.2
23.0
116.6
30.5
23.1
12.1
29.3
589.0
56.6
470.3
20.7
24.9
17.5
24.3
39.8
10.6
11.9
7.5
138.3
8.3
11.5
18.9
9.5
17.6
11.0

1,944.9
12.2
23.2
116.9
30.7
23.3
12.1
29.5
589.8
56.9
470.9
20.8
24.9
17.4
24.4
40J2
10.6
11.9
7.5
138.8
8.3
11.8
18.9
9.7
17.7
11.0

226.1
1.2
2.5
20.2
2.7

227.2
1.2
2.5
20.8
2.8

226.8
1.2
2.5
20.9
2.8

1.4

1.4

1.4

1.0
2.6
94.8
5,0
37.6
1.5
.7
1.8
5.7
2.6
1.8
.6
1.8
22.3
.5
.5
1,9
7
1.8
1.6

1.1
2.4
93.1
4.8
37.9
1.5
.7
1.9
5.9
3.0
1.8
6
1.8
21.2
.6
.5
2.1
7
1.9
1.5

1.1
2.4
93.2
4.9

37.8
1.5
.6
h9
5.9
3.0
1.8
6
1.8
21.3
.6
.5
2.0
7
1.9
1.5

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major Industry—Continued
(in thousands)
Financial activities
State and area

Apr.
2004

Mar.
2005

Professional and business services
Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2QQSP

Education and health services
Apr.
2004

Mar.
2005

Apr.
2QQ&*

84.3
2.4
35.4
24.9

85.1
2.3
35.8
25.0

85.4
2.3
35.7
25,0

161.5
3.7
66.9
51.9

165.0
3.8
67.1
51.4

168.0
3.9
68.6
523

180.2
3.9
68.0
52,7

181.9
4.0
68.6
52.4

182,8
4.0
69.0
52.8

95.9
4.1

96.9
3.9

97.7
4.1

174.8
5.8

177.6
6.1

180.4
6.2

193.7
6.9

200.4
7.2

200.8
7.3

1.4

1,5

1.5

2.7

7.5
4.2
65.4
7.0

8.0
4,3
65.9
7.0

8.0
4.3
65.9
7.0

15.2
7.7
119.6
12.1

335.4
16.3

333.6
16.1

334.6
16.1

6.8
24.8

6.8
24.8

6.9
24.8

10.1

10.0

10.1

219.0
69.6
8.3
14.0

217.1
69.1
8.5
14.1

5.5

Rhode Island
Providence-Fall River-Warwick
South Carolina
Anderson
Charteston-North Charleston
.
Columbia
Florence
.
Greenville
.
.
... ... .
Mvrtle Beach-Conwav-North Mvrtle Beach
Spartanburg
. .
Sumter
.-• ....,....,

Oklahoma
Oklahoma City
Tufsa
Oregon ,
, .
Bend
Corvallis
Eugene-Springfield
Medford
Portland-Vancouver-Bflaverton
Salem

».... ..

Pennsylvania
AHentown-Bethlehem-Easton
Altoona
,
Erie
Harrisburg-Carlisle
Johnstown
Lancaster
. •
Lebanon
PhiladelDhia-Camden-Wilminaton .
Reading
Scranton—Wilkes-Barre
State College
Williarnsport
York-Hanover
..

....
-

,
„

.....

......

»

• .
. ....
.. ..

,
.
.....
.

MA«huilb»«nAvidftnn—•A/kjrfree&horD

Texas
. . .
Abilene
.
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
,
Brawnsville-Hariinaen .
Colleoe Station-Brvan
Corpus Christ!. . .
Dallas-Fort Worth-Ariinoton
El Paso
Haustan-Bavtown-Suoar Land
Killeen-Temole-Fort Hood
Laredo
Lonoview
Lubbock
McAllen-Edinburg-Prarr
Midland
San Angeto ......
San Antonio
Sherman*Denison
Tyler
Victoria
Waco
Wichita Falls

,

,

4.9

4.9

16.0
8.0
124.3
12.5

18.5
11.1
116.6
18.5

18.9
11.5
119.9
18.7

18.9
11.4
120.8
18.8

629.7
35.3
5.6
11.1
34.9
5.9
21.4

639.4
34.7
5.2
11.4
35.9
5.8
21,4

218.5
69.4
8.6
14.1

398.6
138.3
191
20.5
5.5

406.2
139,5
19.9
20.5
5.7

647,1
35.2
5.4
11.7
36.3
5.9
21.6
C2)
410.8
141.6
20.2
20.9
5.8

5.7

5.6

14.5

14.7

15.0

1,003.6
58.0
10.0
23,7
42.7
13.5
32.5
7.5
493.5
214,6
21 0
48.5
6.7
8.9
218

1,024.4
60.0
10.1
24.3
43.5
13.9
32.7
7,6
501.0
218.3
216
49.6
7.0
9,2
22.6

1,025.6
60.0
10.1
24.4
43.4
13.8
32.6
7.6
503.4
218.8
21 6
49,7
7.1
9.3
22.7

34.0
37.2

34.9
37.7

35.0
37.8

53.0
60.5

53.4
60.1

55.2
62.2

95.0
108.8

96.8
111.3

97.1
111.8

92.8

92.9

93.6

195.3

183.9

189.0

181.0

169.0

169.7

1.7

1.7

4.7

4.5

4.6

5.7

5.9

6.0

11.6
25.9
7.1
13.5
8.8
4.0
1.4

12.4
25.6
7.0
13.6
8.6
4.2

12.6
25.5
7.0
13.4
8.8
4.2

33.7
39.3
6.5
42.8
89
11.4

34.8
39.5
6.6
42.6
9,7
11.5

35.3
39.9
6,7
43.4
10.1
11.6

29.1
39.7
11.3
29.5
8.9
10.6

29.1
40.0
11.2
29.5
8.9
10.6

1.4

1.4

2.6

2.0

2.3

29.0
38.4
11.0
28,2
iB.fi
10.4
4.8

4.9

4.9

27.5
3.2
15.0

28.5
3.2
15.6

27.9
3.2
15.5

23.9
4.0
8.2

23.0
4.1
7.9

23.8
4.2
8.3

56.4
8.9
22.4

57.6
9.1
22.9

57.3
9.1
22.9

141.1
18.6
2.6
1.5
1.7
4.5
4.4
16.6
33.0
1.8
44.4

142.9
18.9
2.5
1.6
1.6
4.4
4.4
1&8
32.8
1.8
443

143.1
18.8
2.5
1.6
18
4.4
4.4
16.8
32.6
1.8
44.5

2997
25.9
8.5
4.0
4.3
7.5
9.7
38.7
71.8
3.5
89.8

302.7
25.9
8.4
4.(3
4.3
7.9
10.3
38.6
71.5
4.2
93.1

304.2
26.4
8.4
4.0
4.4
8.0
10.2
39.3
72.7
4.2
94.8

319.9
24.4
8.6
4.7
7.9
10 9
15.4
37.3
71,6
5J
98,3

324.8
24.4
8.6
4.7
8.1
11.2
15.7
38.0
72.8
5.5
98.7

325.9
24.5

591.5
3.0
6.1
39.9

598.3

598.3
3.1

1,085.4
4.2

1,097.0

1,105.3
4.2

6.0

7.8

4.2
8.2

40.2

40.2

6.1

6.8

6.8

4.5
3.5
7.8
213.5
11.4
136.5
5.6
3.2

4.8
3.6
8.0
216,1
11.8
135.7
5.8
3.3

4.8
3.6
7.9
216.0
11.8
135.4
5.8
3.4

88.0
12.7
7.3
5.3
16.6
365.7
27.1
312.2
8.5
4.1

90.8
13.3
7.6
5.4
15.6
374.0
27.1
314.1
9.1
4.0

3.2
7.1

3.1
7.0

3.2
7.0

7.6
3.0

8.0
3.0

1,164.6
13.9
14.9
68.7
23.4
26.5
8.9
25.9
276.0
30.7
258.7
16.3
11.0
14.6
10.5
39.3
6.4

1,167,7
13,9
15,0
69.5
23.5
26.6
8,9
25.9
276.7
31.1
258.6
16,3
11.2
14,7
18.5
39.4

2.3

2.3
1.9

<!>

1.7

.

Tennessee
ChattanooQa
...
Cfarksville
Cleveland
Jackson
Johnson City
Kingsport-Bristot-Bristol
Knoxvilfe
Memphis
Morristown

5.0

15.9
7.7
123.4
12.6

,

. .

South Dakota
RaoidCitv
Sioux Falls

2.3

,
....

.

.
-

1.9
61.5
2.8
2.2
3.9
1.9
6.2
2.3

C2)

8.7
4.7
8.0
11.0
15.7
38.2
73.5
5.5
99.5

6.7

6.8

6.8

8.0
3.0

10.3
11.1
5.8

10.8
11.8

10.7
11.9
6.1

1,143.6
13.8
15.0
68.5
22.8
26.0
8.8
25.5
274.4
29.3
252.3
15.9
10.7
14.1
18.2
35.9
6.2

2.3
1.9

3.6
3.4

&7
3.5

3.7
3.5

5.3
7.4

5.6
7.3

6.4
5.6
7.3

62.0

61.9

89.1

91 2

91.5

102.9

105.0

104.9

2.8
2.3
4.2
1.9
6.2
2.3

2.8

2.6
3.5
6.9
2.7
8.6
3.3

2.7
3.2
66
2.8
8.4
3.3

2.7
3.2
6.7
2.8
8,7
3.3

8.5
8.8

8.5

ao

8,7
9.0

ai
6.0

2.2
4.2
1.9
6.2
2.4

See footnotes at end of table.




2.B

114

91.3
13.1
7.6
5.4
15.9
377.1
27.0
315.9
9.0
4.0

18.4

17.4
6.3
19,1

19.2

9,7

9.9

9.9

17.0

6.1

17,5

6.4

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major Industry—Continued
(In thousands)
Other services

Leisure and hospitality
State and area

Apr.
2004

2005

Apr.
200£iP

Apr.
2004

Mar.
2005

Government
Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2005?

129.0
3.9
53.1
34.2

127,8
3.9
53.9
34.1

KH.3
^1.0
54.9
S5.Q

74.0
2.0
28.2
21.4

74.7
19
27.9
21.6

74.2
18
28.0
216

303.7
11.9
111.6
49.3

314.8
12.8
115.0
51.4

314,5
12,9
114.8
513

153.1
S.3
3.4
13.3
9.1
86.8
11.9

156,7
8.2
3,3
13,4
8.7
87,0
11,7

159.4
8.3
3.3
13.6
9.0
117.9
11.9

57.2
1.8
12
4.9
2.8
34.7
5.1

59.1
18
12
4,9
2.8
35.3
5.3

59.7
1.8
12
5.0
2.9
35.0
5.3

274,6
7.7
12.4
27.1
11.6
133.0
38.7

280.5
7.6
12.4
27.7
11.3
135.4
39.7

279.9
7.6
12.2
27.6
11.3
135.0
39.5

465.9
28.3
5.4
12.4
26.5
4.6
19.7
2
C )
207.4
102.7
12.8
21.4
6.4
3.9
13.9

458.8
282
53
11.8
24.8
44
19.7
2
C )
204,8
1013
12.5
217
6,4
38
13.8

476.9
29.1
5.6
12.4
28.8
4.7
JfO.7

261.5
15.1
( )
6.2
17.2
<2)
10.4
(2)
121.4
59.1
7.8
10.2

264.1
14.9
<2>
6.1
17.1

265.1
15.1
C )
6.2
17.3
2
« )
10.5
C2)
123.0
59.9
7.9
10.3

)

)

767.2
419
9.3
17.3
64.1
10.0
219
7.8
364.5
130.0
22.4
32.3
29.9
8.1
19.9

769.7
418
9.3
17.3
64.2
10.1
219
7.6
366.4
129.8
22.4
32.0
30.0
8.2
20.0

47.7
57.1

46,9
56.1

202.1
6.7
34.3
29.4
7.4
28.1
31.5
10.3
3.1

205.3
6,6
33,2
30,4
7,3
28,6
313
10.0
3.0

211.0
8.8
514.6
£10.7
7.4

39.0
7.2
11.8

37.9
69
11,7

4.0.0
7.5
12.1

16.0
2.6
4.9

Tennessee .........................................
Chattanooga ...................................
Claricsville
Cleveland
Jackson ...........................................
Johnson City
Kfagsport-BristoJ-Bj-istoi
Knoxvitte
Memphis.....
[Mtoirristowfi
Nashville-Dav?dson-~»Mujfreesboro.

254.3
21.1
7.6
3.1
5.0
7.7
11.2
32.9
68.0
3.1
71.2

248.5
20,7
7,9
2.8
4.7
8,0
11.6
33.6
67,7
2.9
70.8

2S7.4
2!1.4
7.9
3.0
4.8
8.2
11.8
24.5
«ai
3.0
72.7

Texas ...........................................
Abilene..
Amartllo
...........................
Austin-Round Rock
...........
Beaumont-Port Arthur...............
BrownsvHIe-Hartingen...............
College Station-Bryan..............
Corpus Christ!
Dallas-Fort Worth-Arlington.....
3 Paso
Houston-Baytown-Sugar Land .
Killeen-Temple-Foft Hood .
Lsmdo ......................................
Longview ..................................
Lubboek
McAHen-Edinbyrg-Pharr...........
Midtand.....................................
Odessa
San Angel©
San Antonio ..............................
Sherman-Dentsort.....................
Texarkana ....„„......„
..........
Tyler
Victoria......................................
Waco
Wichita Falls

884.6
6.5
11.3
67.0
13.5
11.9
9.0
18.9
252.8
24.5
202.3
10.0
8.1

887.2
6.4
11.5
68.5
13.8
12.2
8.9
18.2
250.1
24.6
207.3
10,7
8.2
7.3
14.0
16.8
5,6
5.0
4.2
38.3
4.2
5,1
8.0
4.1
9.3
5.S

908.7
6.5
11.8
69.9
14.1
11.9
9.0
18.4
254.7
25.1
208.4
10.7
8.1
7.5
14.3
17.0
5.8
5.1
4,3
89.7
4.3
5.3
8.0
4.1
9.0
1.8

Oklahoma .....
Uwton
Oklahoma City.
Tulsa

Sntf

....................

Corvatlis....
................
Eugene-Springfield
Bedford
Porfland-Vancouver-Beaverton .
Salem
.................
Penntylvanii.............................
Allentown-Bethlehem-Easton .
Altoona
Erie...
............
g
Johnstown
Lancaster....
Lebanon....
Phiiadetphia-Camderf-Wilmtngton <
Pittsburgh
..,...........**...........<
Beading
,
Scranton—Wilkes-Barm................
State College
....................
Williamspoit
York-Hanover
Rhode Islam*
Providence-Fal! River-Warwick .
South Carolina
Anderson
Charleston-North Charleston.......................
Columbia
Florence
Greenville
Myrtle Beach-Conway-Nortrs Myrtle Beach .
Spartanburs.................................................
Sumter.........................................................
S@tittt Dakota .
Rapid City ....
Sioux Falls ...

7A
14.5
17.0
5.7
5.3
42
86.8
3.9
5.1
8.0
4.1
9.1
5,6

1212.1
1(6.4
13.0
52.5
6.6
3.9
14.0

7.6

7.8

23.0
26.2

22.9
26.2

23.2
26.6

66.3
75.7

66.8
76.0

66.8
76.3

68.3
2.1
10.1
12.7
3.1
10.9
4.2
4.4

66.1
2.1
10.1
12.8
3.0
10.9
4.3
4.2

66.7
2.1
10,2
12.8
3.0
11.0
4.3
4.3

330.0
11.8
53.7
77.4
16,2
40.1
12.4
18.3
7.0

338.0
11.6
53.3
77.2
16.8
40.5
12.2
18.2
6.8

338.3
11.7
53.5
77.3
16.7
40.6
12.2
18.1
6.9

15.8
2.6
5.2

16.0
2.7
5.1

76.0
10.0
117

75.8
10.2
11.8

76.3
10.3
12.0

102.9
10.6
3.0
2.4
2.2
2.3
4.3
13.9
24.3
1.6
29.6

103.1
10.6
3.0
2.3
2.4
2.2
4.5
13.9
24.3
16
30.4

103.2
10.7
3.0
2.3
2.4
2.2
4.5
13.9
24.3
1.6
30,0

421.8
36.2
17.5
6.1
114
15.6
15.9
52.8
91.6
6.6
98.2

421.2
35.9
18.4
5.9
11.6
15.5
15.6
53.9
92.5
6.7
98.6

424.0
36.1
17.6
6.0
11.5
15.8
15,7
52.8
919
6.6
98.6

359.0

363.8
3.2
4.8
26.8
6.0
4.1
2.8
7.1
109.8
7.8
97.1
4.7
19
3.3
5.5
5.3
2.4
2.9
2.0
28.3
17
2.3
3.9
18
4.5
3.4

366.1
3.3
4.9
26,8

1,678.4
12.6
18.7
148.9
27.4
26.8
34.6
32.7
347.5
610
339.8
31.0
18.7
114
28.5
47.2
8.7
9.7
8.9
144,6
6.2
11.7
12.5
8.6
17.3
13.5

1,692.3
12.7
19.2
149.7
27.3
27.2
34.8
32.9
357.9
60.4
344.0
317
19.3
11.7
29.1
48.9
8.7
9.7
9.3
145.9
6.3
12.7
12.9
8.7
17.4
13.5

1692.8
12J
19.0
150.4
27.3
27.2
34.7
32.9
358.6
60.5
343.8
317
19.3
11.7
28.8
49.1
8.5
9.7
9.3
146.0
6.3
12.7
12.8
8,7
17.3
13.6

283
£13.0
10.3
3.1

See footnotes at md of table.




7.7

768.0
415
9.3
16.9
64.3
10.2
215
7,6
363.8
132.7
22.0
319
30.2
8.0
19.4

2

115

2

i2)

10.3
(2)
122.6
59.6
7.8
10.2
2

!

2

ao
4.7
26.2
6.1
3.7
2.8
6.8
108.6
7.7
95.5
4.4
1.7
3.2
5.4
4.8
2.3
2.8
18
27.8
16
2.3
3.8
17
4.5
3,2

2

)

2

ao

4.1
2.8
7.2
110.0
8.0
97.5
4M
1.9
3.4
5,6
5.4
2.4
2.9
1.9
28.3
1.7
2.4
4.0
18
4.6
3.5

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
EM 4. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
Total

Natural resources and mining

Apr.
2004

Mar.
2005

1,099.1
48.5
183.9
163.4
42.7
561.1

1.126.6
49.4
184.8
167.7
45.6
576.0

1,137.1
49.3
187.1
170.1
46.6
578.5

299.8
111.7

305.6
112.9

303.3
113.6

Virginia
Blacksburg-Christiansburg-Radford ....
Chariottesville
Danvtffe
,
,
Harrisonburg
Lynchburg
Richmond
...,.,.....,,..
Roanofce
Virginia Beach-Norfolk-Newport News
Winchester....

3,567.4
66.8
90.8
44.0
59.6
102.0
600.6
156.3
745.3
54.3

3,608.6
70.4
92.6
43.5
61.1
102.3
608.8
746.7
55.0

3,626.6
71.1
92.9
43.6
60.9
103.6
612.8
160.0
751.8
54.8

Washington
,
.,
Belfingham
Bremertoo-Silverdale
Kennewick-Rtchland-Pasco.
Longview
Mount Vemon-Anacortes.....
Olympia
Seattle-Tacoma-Beilevue ....
Spokane
.....
Wenatehee
Yakima

2,683.9
76.9
82.2
84.4
36.6
43.2
92.7
1,578.5
200.0
35.9
75.1

2,718.2
79.2
83.7
88.2
37.0
45.1
95.4
1,606.3
201.4
36.9
75.4

2,737.2
80.4
84.0
88.7
37.1
45.7
96.0
1,615.8
202.5
37.7
76.5

736.9
148.8
117.1
56.3
73.9
66.3

735.6
148.7
118.0
56.8
72.4
67.1

741.0
150.2
118.4
57.9
73.0
66.9

2,763.7
114.3
78.0
47.5
165.5
67.9
71.6
334.1
827.6
89.7
79.3
60.7
69.5

2,776.1
114.8
76.9
48.8
167.5
70.1
72.0
333.0
827.4
91.4
78.4
61.3
70.1

2,810.3
115,6
77.5
492
168.7
70.4
73.0
338.3
834.6
92.4
79.0
61,6
70.4

250.7
35.7
40.6

252.0
36.4
40.5

255.5
36.9
40.9

1,034.4
49.1
16.9
17.1
37.7
64.7
22.2
778.4
13.9

1,042.6
49.4
18.1
17.2
38.3
64.9
21.7
786.4
14.9

1.042.7
49.1
18.0
17,4
37.8
65.7
21.9
785.6
14.6

42.9

42.9

42.9

Logan,,..,.
OgderVdearfieid .
Provo-Orem .........
St. George
Salt Lake City
Vermont
,
Burlington-South Burlington.

West Virginia,
>
Charleston
Huntington-Ashlancl...
Morgantown
Parkersburg-Marietta.
Wheeling
Wisconsin
Appteton
Eau Claire
Fond du Lac
Green Bay
Janesville
LaCrosse
Milwaukee~Waukes;ha-West Allis .
Oshkosh-Neenah
Racine
....
Sheboygan
Wausau
Wyoming .....
Casper
Cheyenne.
Puerto Rico
..........
Aguadilla-lsabeJa-San Sebastian ,
Guayama
Mayaguez
San German-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
Virgin Islands.

Apr.
2005P

See footnotes at end of table.




116

Apr.
2004

Mar.
2005

6.8

Construction

Apr.
2005P

7.4

(J)
C1)

1.0

.8

C1)

7.5

Mar.
2005

(!)
( )
< )
C1)

69.8
2.6
12.8
11.4
5.6
33.5

71.9
2.7
12.6
11.8

C1)

H5.7
5.8

14.9
5.7

227.3

232.5
<2)

10.1

10.2

Apr
2004

9.9

III

33.7

(?)

2

I1)
(!)
(!)

O2 )
8.5

(!)
(1 )
)

1.7

8.6

1

C )
( )
« )

o

2

(!)
( )
!
1.6

24.3

48.3
2

159.0
(3.7
4.7
5.2
2.9
3.3
S.0
92.8
11.1
2.6
3.3

i2) 8.6

1.6

23.4

)
42.4
10.1
51.2

41.1

162.5
7.3
5,3
5.3
2.9
3.5
5.1
94.2
11.5
2.5
3,5

24.5

34.0
15.1

15.1

!

2

o

2

I
(!)
>

(

!)

3.4

3.1

(!)
( )

O

O)
(!)
< 1>
( )

19.2
2.9

21.4
3.4
!

(J)
()

(!)
O
()
(1)
O
(J)
(1)
1

122.2
8.4
3.0
2.8
8.5
3.2
2.7
1§.5
32.0
3.7
3.9
2.6
2.8

115,4
8.1
2,9
2.8
8.6
3.0
2,6
14.0
31.0
3.4
3.6
2,3
2.7

18.7
2.4
2.5

17.3
2.3
2,5

21.6
3.5

39.0

()
O
(?)
O2
0)

68,7
2

<»>
O
(22)

O
(*>
O2

5.1

2

)

2

30.8
)
1.7

)

2

2

4,0
)
51.8
)
13

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Manufacturing
State and area

Apr.
2004

Mar.
2005

Trade, transportation, and utilities
Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2005P

Information
Mar.
2005

Apr.
2004

Apr.
2005P

Utah
.......................
Logan ....„,..
..................
Ogden-ClearfieSd
Provo-Orem........................................
St. George
Salt Lake City .....................................

113.7
8.5
22.3
17.3
2.7
51.5

116.1
8.6
22.3
17.8
3.1
52.8

116.8
8.6
22.4
17.9
3.1
53.0

215.5
7.3
36.1
25.4
10.0
116.5

220.7
7.3
36.4
26.1
10.6
120.0

222.5
7.4
365
26.3
10.8
120,5

30.3
.8
2.6
7.1
.8
17.9

31.1
.7
2.6
7.6
.9
17.8

31.2
7
2.5
7.7
.9
17.9

Vermont
Burtington-Soutn Burlington................

36.5
15.1

37,0
15.2

37.1
15.3

57.8
21.7

57.9
21.4

58.1
21.6

6.4
3.2

6.3
3.2

6.2
3.1

Virginia
Blackaburg-Christiansburt-Radford ...
Cbariottesvilte..........
Danyilto
Harrisonburu ,...„,.....
Lynchburg

298.5
14.3
4.8
11.2
13.3
18.9
46.3
17.7
59.3

298,3
14.7
4.7
10.1
12.6
18.8
45.5
18.1
60.3
2

298.3
14.5
4.7
10.1
12.7
19.0
45.2
18.1
60.8

637.1
9.8
13.3
7.4
11.9
18.9
112.8
34.9
136.7
11.7

645.5
9.4
13.6
7.5
11.8
19.4
112.9
34.5
137.7
11.7

648.6
9.5
13.6
7.4
11.9
19.3
113.4
34.7
138.3
11.8

100.0
(2)

101.0
<2>
2
( )

1011
(2)

Roanoke
Virginia BeadvNoffolk-Newport News
Winchester...................M...............

C2)

I )

C2)

C22)
( )
<22>

<>

C22)
C2)
C)

C2)

(2)

11.2
2.6
15.5

11.4
2.5
14.6

92.1

C2)

(?)
(Z2)
<>11.3
2.5
14.8
(2)

Washington ...........................................
Beflingham......
Brernerton-SilverdaJe..........................
Kennewick-Rfchland-Pasc©
Longview
Mount Vemon-Anacortes
Olympia
Seattfe-Tacoma-Beltevue
Spokane
Wenatehee
Yakfma......................
....................

261.2
8.2
1.7
5.2
7.2
4.9
3.2
163.4
17.1
2.1
9.1

263.5
8.3
1.8
5.4
7.2
5.1
3.4
168.0
16.9
2.2
3.9

264.7
8.4
1.8
5.4
7.2
5.1
3.4
168.7
17.0
2,2
8.9

509.9
14.3
13.1
13.9
7.0
9.1
14.3
304.1
40.2
8.0
15.9

521.7
15.0
13.3
14.7
7.0
9.6
15.0
311.5
41.1
8.6
16.5

523.7
15.1
13.4
14.8
7.0
9.7
15.1
311.7
41.0
87
167

92.0
<2>
<2)
(2)

West Virginia.........................................
Charleston
Huntington-Ashland
Morgantown........................................
Partwibuig-MBrietta..........................
Wheeling .............................................

63.5
7.6
9.6
3.6
9.9
5.0

62.2
6.7
9.9
3.7
10.0
4.9

62.5
6.8
9.9
3.7
9.9
5.0

135.3
28.6
( )

136.0
28.4
( )
(2)
<2>
<2>

136.5
28.7
( )
(2)
(2)
<2)

11.9
3.2
< >
<2>
(2)
(2)

Wisconsin
Appleton
Eau Claire
Fond du Lac
Green Bay
Janeeviiie............................................
La Cross© ..........................................
Madison
Milwaukee-Waukesha-West A»is .
Qahkoeh-Neenah..........................
Racine
Sheboygan
Wausau ..............................................

497.3
23.6
10.3
10.4
30,8
14.5
9.5
31.9
133.9
22.4
19.1
22.4
17.5

500.9
24.3
10.3
10.9
31.0
17.0
9.0
32.1
135.7
23.2
18.9
22.8
18.1

499.4
24.0
10.3
10.9
31.3
17.0
9.1
32.3
134.6
23.2
18.6
22.7
18.1

529.4
22.6
15.9
9.0
35.2
15.2
13.8
58.8
149.9
14.5
15.0
3.6
15.8

528.0
23.0
15.4
9.3
35.9
15.1
14.1
58.2
150.0
14.8
14.7
8.9
15.9

535.6
23.1
15.3
9.4
36.2
14.9
14.5
58.5
150.8
14.9
14.7
9.1
16.0

49.7
2.1
1.2
1.1
2.4
1.1
1.5
8.0
18.6
1.5
.6
.4
.8

50.9
2.1
1.2
1.1
2,4
11
15
8.0
18.5
16
.6
.3
.9

50.6
2.1
12
11
2.4
11
15
8.0
18.4
16
.6
.3
.8

Wyoming .........www.............................
Casper................................................
Cheyenne

9.2
1.6
1.6

&o

9.1
1.6
1.6

48.3
8.1

as

48.2
8.2
8.5

48.6
8.3
8.5

4.2
.6
1.0

4.3
.6
10

4.3
.6
10

Puerto Rico
Aguadilla-!sab@la~SanSebastian ......

118.3
9.3

118.9
9.2
2
( )
4.2
3.7
8.8
5.9
77.4

181.4
8.0
2.8
2.2
6.7
10.3
3.0
141.7
22

181.2
7.8
2.8
2.1
7.0
9.4
2.9
142.8
2.3

180 8
7.8
2.8
2.1
6.9
9.4
2.8
142.6
2.2

23.1
(2)

( )
21.0
<*>

( )
20.5
<2>

< >
20.6
<2>

8.5

3.5

8.5

.9

.9

.9

Quayama............................................
Mayaguez
Ponce
..........................................
San German-Cabo Rof© .....................
San Juan-Caguas-Guaynab©.............
Yauco
Virgin Islands

2

C)

3.7
4.1
7.5
5.7
80.1

C2)

2.1

1.8
1.6
117.1
9.3

2

i)

4.2
3.7
8.4
5.8
77.0

t2)

a

c>
2.2

2.2

See footnotes at end of table.




117

2

C22)
( )
(2)

2

2

2

(2)
(2)
75.0
3.0
Z
( )
2
( )

2

C2)
( 22)
)
(22 )
i)

91.8
<2>
<2>
(2)
2

75.1
2.8
( )
2
( )
2

12.0
3.1

C22)
<2>
< 2>

(2)
<2>
75.0
2.8
2
< )
2
( )
12.0
3.2
( )
(2)
2

C2)
(2)

C>

23.1
<2)

2

2

23.2
(2)

(2)

(2)

i2)

.5
.5

.5
2

2

2

.6
.5

2

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(in thousands)
Financial activities
State and area

Utah
.
1 ogan
Ogden-Ciearfield

Apr.
2004

Apr.
2004

Mar.
2005

.

144.3
7.0
19.0
20.3
3,5
87.4

123.7
4.3
18.1
35.2
5.8
52.7

128.2
4,5
18.8
36.3
6.1
54.8

128.3
4.5
18.8
36.2
6,1
54.9

13.1
5.3

13.5
5.3

13.5
5.3

214
9.8

20.6
9.8

213
10.0

53.2
17.8

54.2
18.4

54.4
18.5

188.4

190.5

1917

569.4

587.0

587.5

382.6

392.1

9.6

..............

10.1

9.0
86.1
20.5
100.1

9,0
86.6
20.7
100.3
(2)

307.1

3.4

298.9
6.1
7.5
20.7
18

310.7
5.8
7.3
21.1
19

3.7
103.0
12.6

3.8
103.3
12.6

7.0
200.8
20.8

29.9
8.0

29.7
8.0

v )
46.9
9.6
39.0

47.5
9.7
39.5

151.1
3.0

1511
3.0

1518
3.0

3.3

3.4

3.8
103.1
12.5

30.6
8.3

. •»

/2\

••

•

-

•«

iCasoer

Aguadilta-l$abela*San Sebastian

„

,
(

Virgin Islands

•
,t-1

,

-

112.6
212

210
10.8

112.3
20.9
211
10.9

13.4

13.5

13.6

249.6
10.9

374 8

384.0

116

7.6

12.6
6.2
20.3

382.9
119
13.0
6.7
20.9
9.0
14,0
34.6
133.8
10.4
10.4
7.0
7.6

4.3

13J

58.0
14.0

4,7

4.8

4.8

33.8
105.6
10.6
6.4
3.4
3.9

35.4
108.7
10.8
6.5
3.5
4.0

13,5
33.5
130.9
10.1
10.4
6.8
7.3

10.3
19
2.0

10.4
1.9
2.0

15.2
2.9
3.3

14.9
2.8
3.1

15.6
2.9
3.2

213
4.6
3.2

219
4.7
3.1

218
4.7
3.2

46.2
16

46.3
16

103.6

103.2

102.7

100.5

102.3

102.5

(2)

2.7
19

6.4
157.7
3.6
18
10.9

(2)

2.7

(2)

(2)
4.5

2.8
14.6

(2)

9.0

(2)
3.3

3.4
(2)

19

C2)

(2)

(2)

4.4

4.6

9.9

10.2

4,6
10.3

(2)

37.8

37.9

88.2

89.8

89.2

718

72.5

72.4
(2)

2.6

2.6

3.4

3.4

3.4

2.2

2.2

2.2

See footnotes at end of table.




110.9
20.5
20.2
10.6

4.3
57.7
13.9

(2)

(*)

32.0
104.6
10.2
6.2
3.6
4.1

45.8
16

2.5

182.5
34.2
5.3
12.4

<*>

27.7
56.1
3.8
2.6
2.3
5.0

10.3
18
2.0

37.4

1819
34.0
5.3
12.3

'7.5
2116
217

5.5
6.4

27.7
56.0
3.8
2.6
2.3
5.0

(2)

177.0
33.2
5.2
12.4

7.3
209.4
213

9.1
4.9

6.3

27.6
57.5
3.9
2.6
2.3
4.9

2.6
17

329.5

8.9
5.1

327.7
( )
/2\
9.0
4.9

6.3

2.0
3.2

2)

320.8

C2)
I2)

119
13.0
6.9
211
9.0
14.0
34.4
134.2
10.4
10.4
7.0
7.6

3.1

MfluAmiA?

68.6
22.9
82.9
8*4

242.6
10.7
7.4
2.7
14.8
5.4

3.2

.

()

113
7.2
2.7
14.2
5.1

157.4
6.4
3.6
18
11.0
2.0

6.9

.....

2

67.2
22.9
83.7
8.3

46

249.3

3.8
18
111
2.0

157.6

Wisconsin
Appleton
Eau Claire .
..•
«•«
Fond du Lac
Green Bay
.
Janesvilte
La Cross©
Madison
Milwaukee-Waukesha-West Allis
Oshkosh-Neenah
Racine
Sheboygan
Wausau

5.8
7.2
210
19

7.2

7.1

65.1
216
81.4
8.1

57.7

<2)
( )

Parkersburg-Marletta
Wheeling

Ponce
San Gftiman-Oabo Roio
San Juan^Caauas-Guavnabo
Yauco

10.2

8J
86.1
19i2
100.5

47.1
9.2
39.4

392.9
#2\

6.7

-

.

Apr.
2005?

1413
7.0
18.6
19.7
3.3
86.5

/2\

BeHingham .
Bremerton-Siiverdale
Kennewick-Richland-Pastx)
Longview
... . .....
Mount Vemon-Anacortes
Otympia
Seattie-Tacoma-Bellevue
Spokane
.
Wenatchee
Yakima

Mar.
2005

137.0
7.1
17.9
19.9
3.3
83.8

Winchester

.

Apr.
2004

66.7
13
8.4
6.4
2.0
46.0

Vermont
Burlinoton-South Buriinoton

Weft Virginia
Charleston
Huntington-Ashland

Apr.
2005P

66.5
13
8.4
6.3
2.0
45.9

St George
Salt Lake City

........

Apr.
2005?

Education and health services

64.7
13
8.0
6.0
1.8
44.9

...

Virginia
,
Blacksbun>Chi1stiansbun>Radford
Chartottesville
Danville
H&rrisonburg
,
Lynchburg ...»
Richmond
. . ......,
Roanoke
,

Mar.
2005

Professional and business services

118

ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
(Dther services

Leisure and hospitality
State and area

Apr.
2004

Logan
Ogden-Clearfield ..............................................................
Provo-Orem ...
. . . . . . . . . ...«„. .....
St George
Salt Lake City
.
......
. ...

Burlington-South Burlington

.....

Virginia
Blacksbura-Christiaiisburo-Radford
CharlottesvilSe. . , .
..
Danville ... ................ . ......

(2)
Lynchfourg
Roanoke .
,.
.....
Virginia Beaeh»Nojfolk-Newport News............................
Winchester
.
.
. .
....

Bellingham
,
Bremerton-Silverdale
Kennewick-Richland-Pasco
Longview
Mount Vernon-Anacortes
Olympia
Seattle-Tacoma-Sellevue .....
Spokane ..
Wenatchee
Yakjma
,
West Virginia
Charleston

. . .

. . . .

....
.....

. . . . . . . .

......

Morgantowo
Parkersburg-Marietta...... ....

7.7
49.0
13.1
73.2

8.0
50.0
13.2
76.6

252.3
8.8
7.6
7.5
3.4
4.7
146.4
18.0
4.5
6.4
67.8
11.9
10.7
4.9

248.7
9.0
7.4
7.5
3.2
4.8
7.4
143.4
18.0
4.6
6.5

254.7
9.2
7.7
7.6
3.3
5.1

6&7
11.6
10.5
4.9
|2 %
\ )

68.5
12.1
10.8
5.3

7.6
146.7
18.0
4.8
6.5

55.3
20.1

178.8

181.8

180.8

658.5
16.6
27.3
6.6
8.6
14.4
112.7
20.9
151.6
7.0

662.6
19.8
28.3
6.5
8.9
14.3
116.6
20.4
152.3
7.3

662.9
20.0
28.4

530.4
16.1
28.2
15.9
5.9
10.2
36.0
253.7
35.2
8.5
17.0

534.3
16.3
28.5
16.5
6.2
11.0
37.3
257.0
34.4
8.6
17.2

534.1
16.5
28.4
16.4
6.2
11.0
37.0
257.1
34.2
8.8
17.2

145.2
28.1
20.7
16.3
10.6
10.3

145.2
28.6
20.9
16.7
10.6
10.4

145.2
28.5
20.8
16.9
10.6
10.2

422.0
11.5
12.7
6.0
21.2
8.9
11.2
80.1
12.9
10.2
6.7
8,2

422.6
11.6
12.6
6.0
21.3
8.8
11.1
81.0
922
13.0
10.3
6.7
8.1

(2)
(2)

(2)
(2)

(2)

C2)
2

29.8
7.4
34.0

30 8
7.5
34.6

99.8

100.9

(J)
( 2 )60.5

(J)
( 2 )61.2

8.9

8.8

55.9
11.7

55.0
12.1

30.6
7.5
34.5
2
C )
101.4

C2)

ji|

C2}
61.5
8.9

55.7
12.5
C )
2

(J)

(2)

(2)

6.6
9.1
14.4
116.5
20.4
152.7
7.1

135.2
5.9

3.7

3.7

4.5
4.8

3.7
2.9
7.1
2.9
3.3
16.8
41 4
4.5
4.7
3.0
3.1

2.9
7.3
2.9
3.4
17.5
41 3
4.4
4.7
3.1
3.1

2.9
7.3
2.9
3.4
17.4
41 1
4.5
4.6
3.0
3.1

422.7
11.5
12.9
6.1
21.2
8.7
10.8
81.1
936
12.5
10.2
6.7
8.0

29.2
3.4
4.3

29.7
3.6
4.4

9.7
1.7
1.7

9.7
1.7
1.7

9.8
1.8
1.7

65.5
5.7
12.4

65.8
5.8
12.7

65.8
5.6
12.7

71.2
2.6
2.8

71.1
2.6
2.8

69.8
2.6
2.7

22.9

2.7
3.3

3.0
3.2

55.0

54.3

307.0
17.7
6.0
6,6
13.2
20.7
6.3
220.0
7.1

308.7
17.8
6.0
6.7
13.2
20.8
6.3
221.4
7.1

12.2

12.2

. . . . .
,.

134.4

6.5

2.9
3.3

2

C )

52.7

20.7

7.4

7.1

7.1

1

Natural resources and mining is combined with construction.
Data not available,
Area boundaries do not reflect official OMB d e M o n s ,
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 wfth the release of January 2006 estimates, unadjusted data from April 2004
are subject to revision. Area definitions are based on Office of Management Budget

134.8
5.8

19.9

20.2
C2)

300.8
16.5
5.2
6.9
12.5
19.8
6.1
214.4
6.3

2.0

1.9

12.4

22.7

(2 )

/2\
(2\

)Z\
tZ%

\) 2
18.0

C )

C2)

C2)

1.8

927

Bulletin No. 04-03, dated February 18, 2004, and are available at
http://www.bls.gov/Jau/lausmsaMm and 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 areas in other states are county-based. Some metropolitan areas lie in
two or more states. They are listed under the state that appears first in their titles.
Davenport-MoJine-Rock Island, Iowa-IIS., and Weirton-Steubenvilte, W. VaOhio, are the
exceptions in that they are listed under Illinois and Ohio, respectively, for operational
reasons.

2

3




55.3
20.1

6.2
92.2

5.8

.....

......
......
..............................

54.5
19.6

C )

29.1
3.4
4.4

Puerto Rte®
„....
AguadiHa-isafreSa-San Sebastian

10.2
3.7

2

....................

Madison

10.1
3.6

5.5

i2)

246.8
11.1
7.0
4.6
14.7
6.0
7.0
23.0
647
6.5

Oshkosh"Neenah
Radne ..........................................
Sheboygan ..<......................................................,..........„..,
Wausau .
.
. .
..

Virgin island

3.4

236.6
10.9
6.7
4.4
14.2
5.7
6.8
27.2
62 0
6.3
6.3
4.5
4.7

i g$ Cros$f>

Wyoming
Casper . . „ . .
Cheyenne .....................

C2)

242.6
10.5
7.4
4.5
14.7
6.2
7.0
27.9
648
6.4
6.6
4.3
5.2

Wisconsin
........... ....
Appleton
Eau Claim......................................
F o n d cftj L a c
.
. . . . .
Green Bay
.... ...... . .......... . . . . . . ...
Janesville

San German-Cabo Rojo .
San JuaooCaguas-Guaynabo
Yauco

C2)

7.3

. ....

Fafardo ,
Guayama
Mayaguez
Ponce

7.8
48.4
12.7
78.6

10.9
3.6

318.5
C2)
10.3
3.5

316.6
10.0
3.4

4.0
1.4
18.2

307.2
C2)
10.0

29.3
9.8

Apr.
2005P
206.3
12.2
44.1
25.4

29.9
9.9

15.9
13.0
5.8
55.1

Mar.
2005
205 2
12.5
43.7
25.1
5.9
91.2

35.0
10.2

16.0
12.5
5.6
52.0

Apr,
2004
203.0
11.9
44.6
24.6
5.9
90.1

16.5
13,3
6,1
53.2

3.7

Government
Apr.
200SP
33.3
1.1
5.5
4.1
1.4
18.4

33.0
1.1

105.6

3.7

...

Mar.
2005

32.7
1.1
5.5
4.0
12
18.2

105.2

3.6

., . ,

...

Apr.
5SOO5P

101.9

I2)
...

Mar.
2005

Apr.
2004

119

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division
(Numbers in thousands)
Total

State, area, and division

Natural resources and mining
Apr.
2004

Apr.
2004

Mar.
2005

Apr.
2005 P

14,465.8
5,454.6
4,000.2
1,454.4
1,955.5
1,019.3
936.2

14,671.9
5,485.8
4,015.1
1,470.7
1,964.9
1,024.0
940.9

14,719.1
5,499.5
4,023.6
1,475.9
1,970.3
1,027.2
943.1

District of Columbia
Washington-Arlington-Alexandria2 ....
Bethesda-Frederick-Gaithersburg 3 .
Washington-Arlington-Alexandria2 ..

673.6
2,829.6
553.2
2,276.7

674.5
2,895.2
561.0
2,334.2

681.0
2,914.1
564.9
2,349.2

Florida
Miami-Fort Lauderdale-Miami Beach
Fort LauderdaJe-Pompano Beach-Deerfield Beach.
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach

7,522.2
2,294.6
722.7
1,024.2
547.7

7,725.5
2,351.6
742.1
1,045.0
564.5

7,741.0
2,350.1
742.6
1,045.4
562.1

Illinois

5,787.5
4,382.3
3,728.2
273.8
380.4

5,760.5
4,370.8
3,719.1
273.3
378.4

5,825.4
4,415.6
3,754.3
275.7
385.1

3,172.3
2,397.0
1,639.2
89.0
149.4
75.3
116.7
100.7
129.1

3,154.1
2,388.0
1,631.7
87.1
149.5
74.6
1166
100.4
128.5

3,193.0
2,414.6
1,649.3
89.0
151.5
76.0
118.4
100.9
130.7

1.9
1.2
.8

Michigan
Detrort-Warren-Uvonta
Detroit-livonia-Deartwm
Warren-Farrnington Hills-Troy ...

4,394.3
2,056.3
840.5
1,215.8

4,320.1
2,008.2
822.0
1,186.2

4,361.3
2,034.7
830.5
1,204.2

BM

New York
New York-Northern New Jersey-Long Island 2 ,
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3

8,390.8
8,230.6
999.2
1,223.2
4,982.9
1,025.3

8,426.9
8,261.5
1,006.4
1.228.0
5,012.5
1,014.6

8,479.0
8,312.9
1,014.5
1,237.8
5,041.1
1,019.5

Pennsylvania

5,634.0
2,741.0
526.4
1,870.4
344.1

5,640.1
2,753.6
538.2
1,865.5
349.9

5,695.4
2.776.3
542.8
1,383.2
350.3

18.4
!

Texas
Dallas-Fort Worth-Arlington .
Dallas-Plano-lrving
Fort Worth-Arlington

9,477.0
2,691.2
1,900.4
790.8

9,554.7
2,717.7
1,921.2
796.5

9,593.6
2,729.7
1,929.7
000.0

150.©
!

154.5
!

Washington

2,683 9
1.578.5
1,324.3
254.2

2,718.2
1,606.3
1,348.8
257.5

2,737.2
1,615.8
1,357.1
258.7

8.5
1.7
1.3
.4

8.6
1.6
1.2
.4

California
Los AnQeies-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-flrvine
.
San Franclsco-Oakland-Fremont
OaMand-Frernont-Hayward
San Francisco-San Mateo-Redwood City .

Chicago-Naperville-Joliet2....
C h i N
Chicaao-Naperville-Joliet...
2

Lake County-Kenosha County .
Boston-Cambridge-Quincy2
Boston-Cambridge-Quincy
,
Brockton-Bridgewater-Easton
Framingham
.
Haverhfll-NorthAndover-Amesbufy2.
Loweil-Billerica-Chelmsford2
Lynn-Peabody-Salem
Nashua 2

Philadelphia-Camden-Wilmtngton2
Camden 3
.
Philadelphia
,
3
Wilmington

Seattle-Tacoma-Belleviie .
Seattle-Bellevue-Everett.
Tacoma
,

See footnotes at end of tabie.




120

Mar.
2005

Apr.
2005 P

2

(J)
<)

O
0)

6.8
.5

67
,5

8.9
')
1.6

9,1

1.9
1.1

.9

2.0
1.2
1.0

7.5

8.2

5.2

57

17.6
!>

18.1
(1)
>
(
>

7.2
.5

4

21.8
47
4,1
.6
1.4
1.2
.2

217
4,7
4.1
.6
1.4
1,2

22.2
4.4
3.8
.6
1.4
1.2
.2

9.3
1.8
1
)
.2

1.6
.2

(!)

(J)1
(!)

0)
5.3
!

(M

1
(

< >
1

(

154.8
(!)
<>
(1)
8.6
1.6
1.2
.4

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
^Numbers in thousands)
Construction
State, area, and division

Apr.
2004

Mar.
2005

Manufacturing
Apr.
2005 P

Apr.
2004

Mar.
2005

Apr.
2005 P

California
..................................™.
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-GtendaJ©..
..
Santa Ana-Anahefm-lrvin©
......................
San Frandsco-OaWand-Fremont ......................
Oakland-Fremont-Hayward
,.......,..,..
San Francisco-San Mateo-Redwood City

824.9
227.2
138.0
39.2
109.0
66,6
42.4

863.4
233.5
141.9
91.6
112.2
69.6
42.6

874.1
235.4
142.7
92.7
112,4
69.6
42.8

1,523.1
671.5
488.7
182.8
143.8
98.7
45.1

1,527.8
665.2
480.2
185.0
143.3
98.7
44.6

1,528.0
664.1
479.1
185.0
143.9
99.0
44.9

District of Columbia
Washington-Artfngton-Alexandria *
Bethesda-Fredertek-Gaithereburg 3 .....w...............
Washin^on-Anlngton-Alexandiia 2

123
174.4
39.9
134.6

11.9
178.2
39.3
138.9

12.3
181.9
40.5
141.4

2.4
65.7
22.0
43.6

2.4
65.7
21.4
44.3

2.4
65.9
21.4
44.5

Florida .„....„...
Miami-Fort LauderdaJe-Miami Beach
Fort LaudardaJe-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boyntors Beach

484.7
125.2
47.5
41.5
36.2

508.1
131.0
49.4
42.3
39.3

510.1
131.2
49.6
42.9
38.7

389.4
101.4
30.1
51.6
19.7

389.8
100.7
30.4
51.0
19.3

388.8
99.7
30.1
50.7
18.9

Illinois
Chicago-Napervilte-JolSet2
Chteago-NaperviltehJoliet ..„,...,..... .........................
Gary *......,.
Lake Counfy-Kenosha County 2

262,8
209.5
170.0
18.2
19.6

244.4
198.3
159.4
18.1
19.0

261.3
210 5
169.4
18.6
20.2

694.6
500.0
400.5
37.9
61.7

692.6
499.5
399.8
37.9
61.8

691.3
497.9
398.2
37.9
61.8

Massachusetts
....„,«.
Bostm-Cambridge-Quiney g
Boston-Cambridge-Qulncy
Bfockton-Bridgewater-Easton
Framingham
Haverhtll-North Andover-Amesbury 2
Lowefl-Blllerica-Chelrmford 2
Lynn-Peabody-Saiem
Nashua2

134.5
97.9
61.5
4.7
7.3
47
7.0
3.8
5.7

129.8
94.0
59.0
4.4
6.8
5.0
6.8
3.5
5.6

138.3
100.1
62.8
4.7
7.4
5.3
7,3
3.7
5.9

314.1
230.7
114.4
3.3
24.4
11.5
20.2
12.9
25.8

312.0
231.6
114.7
8.2
24.3
11.2
20.4
12.7
25.7

312.1
231.6
114.5
8.2
24.3
11.3
20.5
12.7
25.9

SUHcfiigan
...
Detrofr-Warren-Uvonia
Detrolt-Uvonla-Dearbom
Warren-Farmlngton His-Troy ................................

183.2
82.0
24.3
57.7

167.3
79.6
25.2
54.4

181.0
84.4
26.4
58.0

702.0
301.3
113.0
188.3

673.3
284.7
105.8
178,9

675.9
289.1
108.6
180.5

New York
...
New York-Northern New Jersey-Long Island 2 .......
Edison3........................
Nassau-Suffolk
, ....
New York-Wayne-White Plains 2
Newark-Union3..,............,.,...

307.3
321.5
45.3
64.0
171.8
40.4

293.9
316.7
46.7
61.9
169.0
39.1

311.0
328.7
48,2
64.7
174.4
41.4

594.6
498.9
82.2
87.7
235.7
93.3

582.0
488.5
82.9
88.7
226.4
90.5

579.5
487.9
82.0
88.1
226.5
91.3

Pennsylvania
Phlladeiphla-Camden-Wflmington 2
Gamden 3
Philadelphia
Wilmington3 ..............................

242.5
120.7
24.6
76.2
19.9

231.7
119.5
24.0
75.8
19.7

249.1
123.8
25.1
78.4
20.3

687.8
236.9
46.4
163.8
26.7

681.1
230.8
46.4
159.0
25.4

681.3
229.2
462
158.8
24.2

Texas
Dallas-Fort Worth-Artington ......................................
Dallas-Plano-lrving
Fort Worth-Arlington

543.S
155.0
105.3
50.6

542.9
156.8
106.3
50.5

546.4
158.3
107.1
51.2

887.3
293.4
195.7
97.7

886.6
294.9
196.8
98.1

887.8
295.3
197.1
98.2

Washington
Seattte-Taeoma-BelJevue
Seattle-BeHevue-E^erett.........................................
Tacoma

159.0
92J
74.3
18.5

162.5
94.2
74.8
19.4

166.2
96.1
76.3
19.8

261.2
163.4
144.5
18.9

263.5
168.0
149.0
19.0

264.7
168.7
149.7
19.0

,
.„„....
..........

See footnotes at ®M of tafeia




121

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
Information

Trade, transportation, and utilities

State, area, and division

Apr.
2004

Mar.
2005

Apr.
2005P

2,708.6
1,032.3
771.4
260.9
353.8
190.6
163.2

2,737,8
1,035.8
771.7
264.1
352,4
189.1
163.3

2,739.5
1,037.6
772.5
265.1
352.8
189.7
163.1

480.0
245.2
211.9
33.3
75.3
31.4
43!)

489.7
247.3
214.2
33.1
73.5
30.1
43.4

493,1
250.4
217,5
32.9
73.6
30.2
43,4

28.0
380.3
80.9
309.5

27.6
400.7
81.7
319.0

27,9
401.7
82.0
319.7

24.0
107.9
17.2
SO.8

22.9
107.7
17.5
90.2

23.2
108.0
17.4
90,6

1,4914
510.8
160.0
250.3
100.5

1,522.4
516.0
162.0
251.9
102.1

1,526.0
514.6
162.1
250 61
101.7

166.9
57.9
19.5
27.5
10.9

169.2
58.9
19.0
28.8
11.1

168.3
58.9
19.0
28.8
11.1

1,167.2
895.3
754.1
58.4
82.8

1,162.7
895.2
753.6
58.3
83.3

1,170.9
899.7
756.4
58.7
84.6

121.6
95.3
87.5
2.5
5.4

117.2
92.7
84.9
2.4
5.4

117.1
92.5
84.6
2.4
5.5

564.8
418.2
253.3
21.3
29.8
15.5
21.6
21.8
29.8

563.0
4iai
254.1
21.2
29.9
15.5
20.7
22.1
30.5

566.0
419.7
255.0
21.3
29.9
15.6
20.9
22.2
30.6

86.6
73.2
52,5
1.2
6.7
1.1
5.8
1.6
2.0

84.4
71.1
51.3
1.1
6.9
1.0
5.7
1.5
2.0

83.9
70,7
51,0
1.1
6.8
1.0
5.6
1.5
2.0

801.1
379.5
159.2
220.3

797.4
376.8
157.4
219.4

801.8
377.6
157.5
220.1

68.3
36.3
15.7
20.6

65.6
35.5
14.9
20.6

65.0
35.0
14.8
20.2

New York
New York-Northern New Jersey-Long island 2
Edison 3 ....
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3

1,452.9
1,555.3
222.4
266.7
851.0
215.2

1,466.2
1,565.9
222.4
267.9
216.0

1,471.4
1,566.8
223.5
267.5
862.9
214.9

270.1
288.6
32.2
28.7
201.0
26.7

269.8
287.4
32.4
28.6
201.1
25.3

271.4
287.6
31.9
28.6
202.5
24.6

Pennsylvania
2
Philadelphia-Camden-Wifmington
Camden 3
Philadelphia

1,108.5
523.3
120.5
338.4
64.4

1,112.6
532.5
123,2
341.5
67.8

1,118.5
534.5
124.2
342.2
68.1

112.7
56.0
7.8
42.0
6.3

109.6
54.6
7.6
41.0
6.0

109.4
54.6
7.4
41.1

1,926.4
584.6
396.9
187.7

1,940.3
589.0
401.0
188.0

1,944.9
401.9
187.9

226.1
94.8
772
17.6

227.2
93.1
75.7
17.4

226.8
$3.2
75.9
17.3

509.9
304.1
256.0
48.1

521.7
311.5
261.8
49.7

523.7
311.7
262.1
49.6

92.0
75.0
71,9
3.1

92.1
75.1
72.1
3.0

91.8
7S.0
72.0
3.0

California
Los Angeles-Long Beach Santa Ana

Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-OakJand-Fremont

OaWand-Fremont-Hayward
San Francisco-San Mateo-Redwood City .
District of Columbia
Washlngton-Arfington-Alexandria2 ....
Bethesda-Frederick-Gaithersburg a .
Washington-Arlington-Alexandria2 ..
Florida

,

Miami-Fort Lauderdale-Miarni Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach.
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
JIHnois
...
Chicago-Napervilte-Joiiet2.
Gary 3 ...
Lake County-Kenosha County 2 .
Boston-Cambridge-Quincy 2

Boston-Cambridge-Ckiincy
Brockton-Bridgewater-Easton

....

Framingham

Havemill-NorthAndover-Amesbury2 .
Lowell-Billerfca-Chelmsford2
Lynn-Peabody-Salem

Nashua 2

Michigan
,
Detroit-Warmn-Livonia
Detroit-Uvonta-Dearoom
Warren-Farmington Hills-Troy.

Wilmington 3

Dallas-Fort Worth-Arlington .
Dallas-Plano-lrving
Fort Worth-Arlington
Washington
Seattle-Tacoma-BeHevue .
Seattle-Bellevue-Everett.
Tacoma
See footnotes at end of table.




122

Apr.
2004

Man
2005

Apr.
2005 P

6.1

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
R-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers So thousands)
Professional and business services

Financial activities

State, area, and division

Apr.
2004

WJar.
2005

Apr.
2005 P

Apr
2004

Mar.
2005

Apr.
2005 P

2,126.3
831.8
567.1
264.7
321.4
146.1
175.3

2,129.4
832.6
566.3
266.3
321.7
146.6
175.1

California..
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
.......
Santa Ana-Anaheim-Irvine
....
San Frandsco-OakJand-Fremoot
OaWand-Fremont-Hayward
.....................
San Francisco-San Mateo-Redwood City ..............

895.3
372.8
242.4
130.4
153.8

89.5

2,074.2
814.2
556.7
257.5
321.9
147.1
174.8

District of Columbia ..............
..............................
Wash»n0on-AriSn0on-Alexandria 2 ..........................
Bethesda-Frederick-Qatthersburg s ...
Washington-Artlngton-Alexandria 2 ........................

30.8
156.0
42.6
114.3

30.7
157.9
43.5
114.4

30.8
158.9
43.8
115.1

142.8
608.1
113.9
494.2

143.2
629.7
117.8
511.9

145.3
635.4
119.1
516.3

Florida .„„...„.„.„.„..........
Miami-Fort Uuderdafe-Miami Beach
...
Fort Lauderdale-Pompano Beach-Deerfteld Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach .....

500.7
168.8
SI.8
68.3
38.7

508.7
170.1
61.8
68.9
39.4

512.9
171.3
62.2
69.4
39.7

1,295.2
377.8
114.9
152.4
110.5

1,351.8
400.2
122.2
161.3
116.2

1,355.2
401.4
123.4
161.1
116.9

Illinois ...................................................................

397.0
322.3

398.7
324.3
291.5
10.0
22.8

399.2
323.9
290.9
10.1
22.9

791.8

794.1

815.6

671.5
596.4
22.5
52.6

678.2
602.7

695.2

218.3
181.5
151.3
3.2
4.7
2.9
4.3
4.9
8.1

448.0
373.2
282.8

446.0
372.0
280.6

8.6

2.9
42
5.0
7.9

218.2
181.6
151.0
3.3
4.7
2.8
4.3
4.9
8.1

8.2
28.3
6.1
15.9

217. t
117.6
37.S
80.1

216.4
116.8
37.0
79.8

216.9
116.8
37.3
79.5

New York
New York-Northern New Jersey-Long Island 2
Edison3..............................,..........................
Nassau-Suffolk
„..
......!......„..
Hm York-Wayne-White Plains 2
NewaiMJnfon ®............................................

694.4

705.3
776.3

703.8

Pennsylvatiia p..........,.....,,....,..,................,...!......
Philadelphia-Camden-Wflmington a

335.4
219.0
35.8
144.4
3S.8

217.1
35.9
143.0
38.2

Texas
DaHas-F©rt Worth-Arlington ................!"..........„
Dallaa-Plano-lrving
Fort Worth-Arlington

591.5
213.5
168.5
45.0

598.3
216.1
170.4
45.7

Washington
,.ww...
Seattle-Tacoma-Beilevue
Seattle-Bettevue-Everett

151.1
103.1
89.3
13.8

151.1
103.0
89.2
13.8

CNcago-NaperviBe-JolSet2
Chteago-Naperville-tfoliet
Gary*..............

......................

Lak® County-Kenosha County

2

HaverhiH-North Andover-Amnsbuiy .....................
Lov»ell-Blllertea»Chelmstorcl2 .................................
Lynn-P®abody-Saltm.............................................
Nashua 2

„

Camden 3 .

Philadelphia
Wilmington8.......................,..

Tacoma

87.0

290.7
9.8
21.8

2

Massachusetts
...,
Boston-Cantoridge-Quincy 2
Boston-Cambrldge-Quincy ..................
Broekton-Bridgewater-Easton.................................

Mich loan
Detro»-Wa
Oetroit-Livonia-Dearbom
Wamsn-Farmington HHte-Troy

66.8

........................

916.5
378.3
245.4
132.9
158.9
69.0

219.2
182.5
151.3
3.4
4.7

763.1

62.6
83.2

536.7

63.5
83.8
548.1

80,6

333.6

See footnotes at end of table.




123

916.0
377.2
245.1
132.1
158.7

69.2

27.1

6.3
15.6
10.1
12.8

23.1
52.4

617.9
23.0
54.3
457.8
379.7
285.6
8.8
28.9

6.3

12.8

16.2
9.9
13.4

582.0
357.1
123.7
233.4

561.3
344.1
122.2
221.9

569.0
350.7
123.8
226.9

1,048.0
1,220.8
162.1
154.0
741.7
163.0

1,048.8
1,208.5
159.5
152.8
740.0
156.2

1,062.4
1,223.6
161.9
157.9
745.5
158.3

629.7
398.6
67.9
274.4
56.3

639.4
406.2
72.2
275,0
59.0

647.1
410.8
72.9
278.4

598.3
216.0
170.3
45.7

1.085.4
282.4
83.3

1,097.0
374.0
28S.6
85.4

1,105.3
377.1
291.0
86.1

151.8
103.3
89.5
13.8

298.9
200.8
178.8
22.0

307.1
209.4
186.5
22.9

310.7
211.6
188.4
23.2

776.6
63.3
83.6
548.3
81.4
334.6
218.5

36.6
143.6
38.3

365.7

9.7

59.5

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolltain division—-Continued
(Numbers in thousands)
Education and health services

State, area, and division

California
Los Angeles-Long Beach-Santa Ana
Los Angetes-Long Beach-Glendale
Santa Ana-Anaheim-lrvine
San Franeisco-Oakland-F:remont
Oakland-Fremont-Hayward
.
San Francisco-San Mateo-Redwood City .
District of Columbia
Washington-Arttngton-Atexandria2 ...
Bethesda-Frederick-Gafihersburg3
Washington-Arlington-Alexandria2

Miami-Fort Ls
Fort Lauderdale-Pompano Beach*Deerfie9d Beach.
Miami-Miami Beach-Kendall
.
West Palm Beach-Boca Raton-Boynton Beach

Leisure and hospitality

Apr.
2004

Mar.
2005

Apr.
2005 P

Apr
2004

Mar.
200$

Apr.
2005P

1,570.3
604.3
472.8
131.5
218.7
118.0
100.7

1,590.6
610.7
479.1
131.6
224.9
122.8
102.1

1,595.4
613.0
481.1
131.9
225.2
123.0
102.2

1,431.1
536.1
371.8
164.3
191.7
79.6
112.1

1,456.4
538.2
376.2
162.0
194.7
81.2
113.5

1,473.4
544.2
379.9
164.3
197.3
82.0
115.3

94.7
305.0

95.0
311.8

692
242.6

96.0
313.1
69.5
243.6

51.0
236.6
46.0
190.7

52.4
244.0
45.8
198.2

54.1
249.8

68.2
236.9
916.1
292.2
83.3
134.3
74.6

942.6
299.5

944.8
300.0
85.8
137.8

870.9
244.1
77.2

897.4
252.9
80.5
102.7
69.7

897.7
251.0
79.0
103.2
68.8

729.1
549.1
468.8
40.6
39.7

519.8
387.8
323.4
30.8
33.6

85.5
136.8
77.2

76.4

99.2
67.7

733.2
547.9
468.7
39.6
39.6

734.5
550.9
470.7
40.7
39.5

501.4
377.3
313.5
30.4
33.5

499.2
376.7

589.4
437.2
330.9
13.9
18.2
12.2
12.5
17.6
15.5

593.5
442.7
332.9
13.6

594.3
443.6
333.7

277.3
198.4
133.9
7.7
10.9

12.4
1£7
18.1
15.1

13.8
18,7
12.5
12.7
18.0
15.3

282.2
202.4
137.8
7.9
11.3
7.4
9.5

9.6

9.2
9.4

559.2
258.3
115.7
142.6

557.0
256.7
115.3
141.4

558.2
25@.6
115.9
142.7

395.1
181.5
80.1
101.4

385.4

Mew York
New York-Northern New Jersey-Long Island 2 .
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
....

1,535.3
1,364.7
129.0
197.0
900.4
138.3

1,558.9
1,390.3
134.4
200.8
915.7
139.4

1,562.1
1,390.5
134.7
200.4
917.1
138.3

€38.8
581.2
74.5
90.5

642.7
594.2
73.2

Pennsylvania
...
,
Philadefphia-Camclen-Wilmington*
3
Camcten
Philadelphia
Wilmington 3 .,

1,003.6
493.5

1,024.4
501.0
76.3
381.7
43.0

1,025.6
503.4
76.7
384.0
42.7

465.9
207.4

Texas
..
DaJlas-Fort Worth-Arlington .
Dallas-Pfano-lrving
Fort Worth-Arlington

1,143.6
274.4
189.0
85.4

1,164.6

1,167.7

276.0

276.7

190.1
85.9

Washington
Seattle-Tacoma-Bellevue ...
SeatUe-BeHevue-Everett...
Tacoma.

320.8
177.0
138.6
38.4

327.7
181.9
143.5
38.4

Illinois
.........
Chicago-Napervilie-Joliet2
Chicago-Naperville-Jofiet
Gary *
U k e County-Kenosha County 2 ...
BostorvCambridge-Quincy2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Eiiston
Haverhill-North Andover-Amesbury 2 .
Lowell-Billerica-Crielmsford2
Lynn-Peabody-Salem
Nashua 2
Deirort-Warren-Uvonia
Detrojt-Uvonia-Dearbom
Warren-Farmington Hilte-Troy .

73.1
378.3
42.1

ia7

See footnotes at end of table.




124

10.3

363.5
62.7

315.1
30.4
31.2

6.8
9.7

75.2
98.0

91.1
368.1
61.8

46.6
203.2

290.7
207.4
139.8
8.0
11.4
7.2
10.1
9.5
10.2
399J?
182.0
77.5
104.5
611.9
77.5
94,7

376.0
63.7

38.4
141.3
27.8

458.8
204.8
39.4
138.0
27.4

476.9
212.1
40.2
144,0

190.3
86.4

884.6
252.8
173.4
79.4

887.2
250.1
172.7
77.4

902.7
254.7
175,7
79.0

329.5
182.5
143.9
38.6

252.3
146.4
121.5
24.9

248.7
143.4
119.2
24.2

254.7
146.7
122.3
24.4

27.9

ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-15. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
Otter services

State, area, and division

Apr.
2004

Mar.
2005

Government
Apr.
2005 P

Apr.
2004

Mar.
2005

Apr.
2005 P

Los Angeles-Long Beach-Glendale
Santa Ana-Anahefm-lrvine
...................
San Francisco-Oakland-Frefnont
........
OakJancS-Fremom-Hayward
.............w...
Sart Frandaco-San Mateo-Redwood CHy

504,2
192.7
14S.3
47.4
73.7
37.0
36.7

512.1
193.3
145.7
47.6
73.0
36.6
36.4

513.7
194.3
146.4
47.9
73.3
36.9
36.4

2,431.9
753.9
597.4
156.5
312.4
18Z3
130.1

2,429.6
747.0
589.5
157.5
309.2
179.6
129.6

2,434.7
746.0
588.9
157.1
310.0
179.8
130.2

District ef Columbia
WasNn^on-Ariington-Alexandria 2
Bethesda-Fraderick-Gaithersburg 3 .......................
Washington-Ariingfon-AteKandria 2

58,3
163.3
29.3
134.1

59.7
168.4
30.2
138.2

60.1
169.1
30.1
139.0

229.3
620.9
93.2
527.8

228.7
631.1
94.6
536.5

228.9
630.3
94.5
535.8

Florida

319.0
97.5
232
44.0
24.3

326.2
99.4
30.2
44.6
24.6

326.6
98.7
29.7
44.6
24.4

1,080.7
318.4
99.1
154.7
64.6

1,102.5
322.4
101.0
155.8
85.6

1,103.9
322.8
101.6
155.7
65.5

257,8
1,95.6
170.2
12.3
13.2

256,7
195.7
170.1
12.3
13.3

256.4
195.7
170.1
12.4
13.2

854.9
565.9
474.9
41,2
49.9

852.8
562.3
471.7
41.2
494

850.2
561.5
471.1
41.1
49.3

Massaefiusetfs I.........................
.......
Bosfon-Cambridge-Quiney 2
Boston-Cambrfdge-Quincy
„„....
Braekton-Bridgewater-Easton
Framlngham .......
......
Haverhl-Nortb Andover-Amesbury 2 .....................
Lowell-BjBerfca-Chelmsford 2 .................................
Lynn-PeabooySaterrs
Nashua 2
M..........~.........

115.9
85.8
5S.5
4.1
4.9
2.6
4.0
3.8
4.5

115.2
85.5
57,7
4.1
4.8
4.0
3.9
4.4

115,4
86.0
58.1
4,2
4.8
2.6
4.0
3.9
4,4

415.7
294.7
195.4
15.6
15,0
11.1
16.3
14.5
14.8

412.8
291.9
195.6
15.3
14.2
11.2
16.4
14.8
14.9

414.2
293.1
196.5
15,7
14.6
11.3
16.8
14.6
14.9

MidiSgan „..„.....„„..........„.._.....
Detroit-Warren-Uvonia
Detroit-Uvonia-Dearbom
Warren-Famtington Hills-Troy

177.2
99.8
46.3
53.5

177.3
96.7
42.8
53.9

178.3
96.4
42.1
54.3

701.1
242.9
125.0
117.9

711.6
244.1
126.2
117.9

707.8
244,1
126.6
117.5

Hew York
New York-Northern New Jersey-Long Island 2 ........
Edison 3
Nassau-Suffolk
.........
New Yorfc-Wayne-Wbite Rains 2 ...........................
3
Newark-Union ............

350.0
344.1
40.6
50.7
206.6
44.2

353.9
346.5
39.1
51.3
211.6
44.5

356,1
348.6
39.2
51.3
214.1
44.0

1,494.1
1,281*9
148.3
200.7
771.9
160.9

1,500.2
1,287.2
152.3
201.1
772.9
160,9

1,496.4
1,288.7
152,3
201.0
773.8
161.6

261.5
121,4
22.8
84.2
14.4

264.1
122.6
22.9
85.4
14.3

265.1
123,0
23.0
85.6
14.4

768.0
363.8
89.1
227.4
47.4

767.2
364.5
90.3
225.1
49.1

769.7
366.4
90.5
227.1
48,8

359,0
108.6
75.9
32.7

363.8
109.8
76.2
33.6

366.1
76.4
33.6

1,678.4
347.5
236.1
111.4

1,692.3
357.9
243.4
114.5

1,692.8
358.6
244.0
114.6

99.8
60.5
48.5
12.0

100.9
61.2
49.2
12.0

101.4
61,5
49.4
12,1

530.4
253.7
199.6
54.1

534.3
257.0
202.3
54.7

534.1
257.1
202.3
54.8

California
Los Angeles-long Beach-Santa Ana .......

Miami-Fort Lauderdale-Miami Beach
,
Fort Lauderdate-Pompan© Beach-Deerfie!d Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach .....

Illinois .............
Chscago-Naperville-Joiiet2
ChJcaao-NapervilJe^Joliet
Qary
Lake County-Kenosha County a

~,,....

,.

3

Cameten .
Philadelphia
Wilmington** ..........................................................
1mm
DalJas-Fort Worth-Arlington
Oatlas-Plano-lfving
F©rt Worth-Arlington .........................
Washington
,
SeatMe-Tacoma-BeHevue
SMtfe-BeHevue-Bttratt
Tacoma
„
1
2
9
4

„
.....

2.6

Natural resources and mining is combined with construction.
Pan of the area is in one or more adjacent states.
All of the area is in one or mom adjacent states.
Data not available.

are subject to revision. Area definitions are based on Office of Management and Budget
Bulletin No. 04-03, dated February 18, 2004, and are available at
httpy'/www,b!s.gov/iau/!ausmsa.htm and in the May issue of Employment ana Earnings.
Areas in the six New England states are Metropolitan New England City and Town
Areas (NECTAs), while areas in other states are county-based. Some metropolitan
areas lie in two or more states. They are listed under the state that appears first in their
titles. Some divisions lie in more than one state, and some, like Camden, N J.f are
totally outside the states under which their metropolitan areas are fisted.

P = preliminary.
NOTE: Oata am counts of jobs bf place of work. State and area data am currently
projected from 2004 benchmark levels. When more recent benchmark data are
introduced with the release of January 2006 estimates, unadjusted data from A^ril 2004




110.0

125

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
8-16. Average hours and earnings of production or nonsupervisory workers1 on private norifamn payrolls by detailed
industry
2002
NAICS
code

Industry

Total private
Goods-producing
Natural resources and mining

..
.

Logging
Mining
Oif and gas extraction
Mining, except oil and gas
Coalmining
Bituminous coal and tignite surface mining...
Bituminous coal underground mining and
anthracite mining
.....
Metal ore mining
Nonmetallic mineral mining and quarrying
Stone mining and quarrying
Crushed and broken limestone mining
Other stone mining and quarrying
Sand, gravel, clay, and refractory mining
Construction sand and gravel mining
,..,
Other nonmetallic mineral mining
Support activities for mining
Support activities for oil and gas operations

1133
21 '
211
212
2121
212111
212112,3
2122
2123
21231
212312
212311,3,9
21232
212321
21239
213
213112

Construction

236
2361
236115
236116
2362
23621
23622
237
Heavy and civil engineering construction
2371
Utility system construction
23711
Water and sewer system construction
23712
Oil and gas pipeline construction
Power and communication system construction.. 23713
2372
Land subdivision
2373
Highway, street, and bridge construction...
2379
Other heavy construction
238
Specialty trade contractors
Building foundation and exterior contractors
2381
Poured concrete structure contractors
23811
Steel and precast concrete contractors
.,
23812
Framing contractors
23813
Masonry contractors
23814
Glass and glazing contractors
23815
Roofing contractors
23816
Building equipment contractors
....
2382
Electrical contractors
23821
Plumbing and HVAC contractors
23822
Other building equipment contractors..,.
23829
Building finishing contractors
,
2363
Drywall and insulation contractors
23831
Painting and wall covering contractors
23832
Flooring contractors
23833
Tile and terrazzo contractors..,.,
23834
Finish carpentry contractors
23835
Other building finishing contractors
23839
Other specialty trade contractors
2389
Site preparation contractors
23891
All other specialty trade contractors
23899

Construction of buildings
Residential building...,
New single-family general contractors
Residential remodelers
NonresWential building
industrial building
Commercial building

Manufacturing
Durable goods

Wood products.
Sawmills and wood preservation

-

»»

*

321
3211

Average weekly hours

2004

May
2004

Mar.
2005

Apr.
2005P

May
2005P

33.5
39.7
43.9
36.1
44.9
43.3
45.5
47.8
48.6

34.0
40.3
44.3
37.2
45.3
43,2
45.3
46.4
47.5

33.5
39.7
45.0
37.7
45.9
43.7
46.2
49.2
47.6

33.6
39.9
45.3
39.0
46.0
44.1
46.6
47.9
46.7

33.9
40.0
46.1

47.1
45.9
43.8
43.4
41,1
46.1
44.8
45.2
42.2
45.0
45.2
37.7
37.5
36.1
36.0
35.8
39.1
39.0
39.1
40.8
41.0
41.0
42.3
40.2
39.8
40.5
41.4
37.1
34.7
37.1
36.4
32.2
32.6
37.7
34.7
38.2
38.2
38.1
38.7
36.2
34.8
37.4
36.9
38.0
37.0
35.4
39.3
39.8
38.9

45.5
44.5
44.8
44.7
42.0
47.9
45.4
45.9
43.1
46.2
47.2
387
38.0
36.9
36.8
36.8
39.4
39.5
39.3
42.5
42.7
43.8
42.4
41.1
40.0
42.8
41.8
38.1
35.7
38.6
37.1
32.4
34.5
39.1
34.7
39.2
38.9
39.4
39.4
36.6
34.9
37.3
37.7
39.1
38.3
36.0
41.0
41.3
40.7

50.7
45.2
44.0
45.0
43.9
46.4
42.6
42.2
44.7
46.5
49.5
37.8
37.2
35.4
35.2
35.1
39.3
40.4
39.0
41.8
42.4
42.0
45.0
41.7
39.1
41.3
42.2
37.3
35.2
38.0
39.0
32.6
33.8
36.0
33.7
38.6
39.0
38.2
38.0
36.1
35.5
36.9
36.4
38.3
34.6
37.9
39.1
39.5
38.8

49.0
45.2
46.0
46.8
46.2
47.4
45.2
45.2
46.1
46.1
47.8
38.8
37.9
36.2
36.4
35.5
40.0
40.4
39.8
43.0
43.1
43.2
44.4
42.3
39.4
43 2
43.2
38.2
37.0
39.9
41.1
33.8
35.8
37.7
35.1
38.9
39.4
38.4
39.7
36.4
35.6
37.2
36.9
37.2
35.3
39.7
40.8
41.5
40.1

40.6
41.1
40.8
42.5

41.1
41.6
41.8
43.6

40.4
40.9
39.1
41.0

40.2
40.7
39.2
41.1

See footnotes at ena of table.




Average overtime hours

126

2004

May
2004

Mar.
2005

4.4
4.5
4.4
5.9

4.6
48
5.0
6.7

4.3
4.4
3.6
5.8

2(8)51

38.9

40.4
40.8
40.0

43
4.3
3.8
5.8

4,3
4,4

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
8-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
2002
NAICS
code

Industry

..............................

OH and gas extraction.......

..............

Mining, except oil and gas........
Coalmining.....................
Bituminous coal and lignite surface mining........
Bituminous coal underground mining and
anthracite mining
Metal ore mining
Nonmetallic mineral mining and quarrying....
Stone mining and quarrying
Crushed and broken limestone mining..........
Other stone mining and quarrying.................
Sand, gravel, clay, and refractory mining.........
Construction sand and gravel mining..,,...
Other nonmetallic mineral mining...............

May
2005 P

Mar.
2005

$15.59

$15.63

$15.95

$16.01

$16.03

17.08

17.10

17.37

17.48

17.50

678.08

689.13

689.59

697.45

700.00

18.07

18.00

18.36

18.67

18.61

793.27

797.40

826.20

845,75

857.92

1133

14.68

15.21

15.08

15.35

529.95

565.81

568 52

598.65

Goods-producing

Mining

Mar.
2005

May
2004

Natural resources and mining..

May
2005 P

Apr.
2004

2uO4

Total private,.

Logging..

Average weekly earnings
May
2004

2005?

$522.27 $531.42 $534.33 $537.94 $543.42

21

18.44

18,32

18.72

16.99

827.96

829.90

859.25

873.54

211

18.78

18.49

19.02

19.35

813.17

798.77

831.17

853.34

212
2121
212111

19.91
21.82
22.06

10.70
21,93
21.86

20.05
21.97
22.70

20.14
22.04
22.85

905.91 896.49 926.31 938.52
1,043.00 1,017.55 1,080.92 1,055,72
1,072.12 1,038.35 1,080.52 1,067.10

212112,3
2122
2123
21231
212312
212311,3,9
21232
212321
21239

21.62
22.92
17.66
16.17
16.64
15.65
18.33
18.93
21.04

22.00
22.11
17.67
16.21
16.65
15.74
18.44
19.00
20.78

21.36
22.55
17.68
16.68
17.15
16.14
17.98
18.34
20.56

21.37
23.10
17.95
17.02
17.46
16.52
18.50
18.95
19.78

1,018.30 1,001.00 1,082.95 1f047.13
1,052.03 983.90 1,019.26 1,044.12
773.51 791.62 777.92 82570
701.78 724.59 750.60 796.54
683.90 699.30 752.89 806.65
721.47 753.95 748.90 783.05
821.18 837.18 765.95 836.20
855.64 872.10 773.95 856.54
887.89 895.62 919,03 911.86

16.70
15.12
19.15

16.68
15.17

17.30
15.99

17.71
16.58

19,15

19.25

19.35

18.59
17,31
17.03
17.69
20.01
19.76
20.09

18.88
17.41
17.36
17.23
20.46
19,35
20.86

18.94
17.55
17.61
17.15
20.44
19.55
20.74

19.09
18.89
19.26
18.80
18.31
16.69
19.74
18.44

18.75
18,97
19.37
19.20
18.23
16.54
18.72
18.97

213
Support activities for mining.
Support activities for oil and gas operations...... 213112
Construction................................
......................

804.45
791.51

816.43
792.62

741.11

727.65

750.78

706.42
638.74
626.70
650.99
788.39
780.52
789.54

702.34
616.31
611.07
604.77
804.08
78174
813.54

717.83
635.31
641.00
608.83
817.60
789.82
825.45

773.57
770.39
781.46
804,55
732.85
640.78
795.42
771.70

811.33
806.60
843.59
797.12
752.54
667.60
844.87
770,79

783.75
804.33
813.54
864.00
760.19
646.71
773.14
800.53

821.30
822,78
848,88
820.07
787.63
651.68
842,40
812.59

718.26
636.75
653.33
876.15
561.85
616.47
671.06
601.35
795.32
814.81
763.91
890.87
675.13
716.53
612.24
701.47
662.34
662.30
884.81
698.7S
744.26
652.74

736.35
651.17
669.32
901.53
576.72
647.57
682.30
604.13
816.54
828.57
792.33
909.75
68S.81
726.62
610.60
744.95
678.78
704.34
676.44
725.29
758.68
690,27

726.23
641.70
671.46
892.71
605.38
613.47
674.64
563.13
807.90
840.84
767.82
859.56
679.04
742.31
616.23
689.42
666.04
620.03
670.07
702.63
738.65
665.03

746,05
686.72
707,43
954.75
627.33
681.63
705.37
602.32
816.12
849.07
775.68
900.79
686.14
746.18
631.28
697.41
673.32
622.69
689.59
736.44
775.22
696.54

751.50
683.42

770.62
716.02

721.96
697.13
625.97
614.52
634.73
778.87
767.52
782.00

19.10
19.09
19.65
18.47
18.62
16.54
19.50
18.81

19.32

751.55

Construction of buildings.................
Residential building
New single-family general contractors..
Residential remodelers
Nonresidentia! building........
.................
Industrial building
Commercial building .............................

236
2361
236115
236118
2362
23621
23622

Heavy and civil engineering construction.......
Utility system construction.
..
Water and sewer system construction..
Oil and gas pipeline construction..,.
Power and communication system construction.
Land subcHvteion......................
Highway, street, and bridge construction...
Other heavy construction.............

237
2371
23711
23712
23713
2372
2373
2379

18.59
17.34
17.07
17.73
19.92
19.M;
20.00
18.911
18.70
19.0B
19.02
18.23
16.10
10.64
18.64

Specialty trade contractors..........................
Building foundation and exterior contractors..
Poured concrete structure contractors........
Steel and precast concrete contractors
Framing contractors........
Masonry contractors..................
Glass and glazing contractors
Roofing contractors
.................................
Building equipment contractors
Electrical contractors............... ...
Plumbing and HVAC contractors
Other building equipment contractors.........
Building finishing contractors.................
Drywal! and insulation contractors
Painting and wall covering contractors........
Flooring contractors..
Tile and terrazz© contractors...................
Finish carpentry contractors..
Other building finishing contractors.............
Other specialty trade contractors....................
Site preparation contractors..
All other specialty trade contractors.............

238
2381
23811
23812
23813
23814
23815
23S16
2382
23621
23822
23829
2383
23831
23832
23833
23834
23835
23839
2369
23891
23899

19.36
18.35
17.61
24.07
18.07
18.01
17.UC1
17.33
20.83
21.33
20.05
23.02
18.65
20.5©
16,3?
19,01
17.43
17,00
18.78
17.78
18.70
16.78

19.34
18.24
17.34
24.30
17.80
18.77
17.45
17.41
20.83
21.30
20.11
23,09
18.82
20.82
16.37
19.76
17.36
18.39
18,79
17.69
18.37
16.96

19.47
18.23
17.67
22.89
18.57
18.1$
18.74
16.71
20.93
21.56
20.10
22.62
18.81
20.91
16.70
18.94
17.39
17.92
17.68
17.97
18.70
17.14

19.53
18.56
17.73
23.23
18.56
19.04
18.71
17.16
20.98
21.55
20.20
22.69
18.35
20.96
16.97
18.90
18.10
17.64
17.37
18.05
18.68
17.37

Manufacturing. ,**«

16,06

16.04

16.41

16.45

16.48

652.04

659.24

662.96

661.29

665.79

Durable goods..

16.71

16.70

17.16

17.20

17.21

636.78

694.72

701.84

700.04

702.17

13J2I0
14.62

13.04
14.11

13,11
14.09

13.12
13.93

13,16

530.40
595,85

545.07
615.20

512,60
577.69

514.30
572.52

526,40

Wood products......,...,,,.,.,.
Sawmills and wood preservation..

321
3211

See footnotes at end of table.




127

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—^Continued

Industry

Durable goods-Continued
Plywood and engineered wood products...
Hardwood and softwood veneer and plywood.
Engineered wood members and trusses
Other wood products
Miliwork
Wood windows and doors
Cut stock, resawing lumber, planing, and
other miliwork, including flooring
Wood containers and pallets
..
All other wood products
Manufactured and mobile homes
Nonmetallic mineral products..
Clay products and refractories
Pottery, ceramics, and plumbing fixtures
Clay building material and refractories
Glass and glass products
Plat glass and other pressed and blown glass
and glassware
Glass products made of purchased glass
Cement and concrete products
Ready-mix concrete
Other cement and concrete products
Lime, gypsum, and other nonmetallic mineral
products.,
„
,
Primary metals,
,
Iron and steel mills and ferroalloy production
Steel products from purchased steel
.
Iron, steel pipe, and tube from purchase steel.....
Rolling and drawing of purchased steel
Alumina and aluminum production
Other nonferrous metal production
Rolled, drawn, extruded, and alloyed copper
Nonferrous metal, except CU and AL, shaping....
Foundries
Ferrous metal foundries..,.
Iron foundries ,
Steel foundries
Nonferrous metal foundries
.
Fabricated metal products
Forging and stamping
Iron and steel forging
Metal stamping
Cutlery and hand tools
Hand and edge tools.,...
Architectural and structural metals
Plate work and fabricated structural products
Prefabricated metal buildings and
components
Fabricated structural metal products
Plate work.
Ornamental and architectural metal products
Metal windows and doors,,..
Sheet metal work
Ornamental and architectural metal work
Boilers, tanks, and shipping containers
Hardware
...
Spring and wire products
Machine shops and threaded products
Machine shops..,
Turned products and screws, nuts, and bolts
Precision turned products
Bolts, nuts, screws,rivets,and washers
Coating, engraving, and heat treating metals
Metal heat treating and coating and
nonprectous engraving
Electroplating, anodizing, and coloring metaJs,,
Other fabricated metal products.,.

Average weekly hours

2002
NAICS
code

2004

May
2004

Mar.
2005

3212
321211,2
321213,4
3219
32191
321911

42.5
42.5
42.6
39.5
39.9
41.0

43.6
43.3
44.2
40.3
40.7
42.0

41.5
41.0
41.9
37.5
37.5
37.6

321912.8
32192
32199
321991
327
3271
32711
32712
3272

38.9
38.5
39.4
39.5
42.3
40.5
37.1
43.6
42.5

39.6
39.2
40.4
39.6
42.3
40.1
37.8
42.3
42.6

37.4
88.7
38.1
37.5

327211,2
327215
3273
32732
32731,3,9

41.6
42.5
42.6
42.4
42.9

3274,9
331
3311
3312
33121
33122
3313
3314
33142
33149
3315
33151
331511
331512,3
33152
332
3321
332111
332116
3322
332212
3323
33231

42.7
43.2
44.0
41.7
41.9
41.6
42.7
43.4
44.0
41.4
43.5
44.4
45.7
41.9
42.4
40.8
40.6
44.1
39.2
41.6
42.1
39.6
40.5

332311
332312
332313
33232
332321
332322
332323
3324
3325
3326
3327
33271
33272
332721
332722
3328
332811,2
332813
3329

2004

May
2004

Mar.
2005

40.5
40.8
40.8
38.0
38 ;v
38.7

5.7
5.4
6.1
3.3
3.4
3.4

6.6
5.6
7.5
3.7
3.9
4.1

4.2
4.0
4.8
2.5
2.4
2.1

4.2
4.4
4.4
2.8
2.9
2.8

41.1
40.2
38.4
41.7
42.3

37.9
37.0
38.1
36.9
41.7
41.6
39.1
48.7
41.9

3.4
2.2
3.7
3.9
5,9
5.1
3.7
6.4
4.3

3.8
2.6
4.1
4.2
6.1
4.8
3.9
5.7
4.2

2.6
1,6
3.2
3,1
5.6
5.0
5.2
4.9
3.8

3.0
2.2
3.0
2.4
6.2
5.4
4.5
6,1
3.9

41.4
42.9
42.6
43.0
42.2

42.0
43.1
41.2
41.1
41.3

41.3
42.9
42.1
42.8
41.2

5.3
3.1
7.1
6.8
7.4

5.1
3.0
7.5
7.6
7.4

4.5
2,7
6,8
6.9
6.6

4.4
3.0
7.8
8.4
7.0

42.7
43.5
44.0
42.5
43.4
41.8
42.8
43.3
43.6
41.5
43.9
45.5
46.7
43.0
42.0
41,3
41.0
44.2
39.8
40.8
41.5
40.9
42.2

40.1
43.0
44.5
41.4
39.0
43.3
43.7
44.7
44.8
43.6
41.8
42.7
43,0
42.0
40.7
40.6
41.3
43.5
40.6
40.7
41.0
38.8
39.1

40.5
42.5
44.4
42.1
40.4
43.4
42.2
42.9
42.1
42.6
41.7
43.0
43.5
41.9
40.1
40.6
40.6
42.7
40.0
40.6
41.3
39.6
39.6

5.5
6.5
7.0
5.9
6.9
5.1
6.0
7.0
7.4
59
6.5
7.4
8.0
6.3
5.4
4.3
5.5
7.5
4.7
4.1
4.3
3.5
4.0

5.7
6.6
7.0
5.9
7.4
4.7
6.0
7.2
7,3
6.5
8,7
7.8
3.5
6.4
5.4
4.6
5.4
7.2
4.9
4.2
4.3
4.1
53

5.0
6.0
7.3
4.8
4.8
4.8
5.6
6.8
6.5
6.7
5.6
6.7
7.0
6.2
4.1
4.3
5,0
6.6
4.4
4.4
4.6
3.1
3.4

5.4
5.9
7.2
53
6.2
4.9
53
6.4
6.0
6.1
5.4
6.3
6.7
5.6
4,1
4.2
4.9
6.5
4.5
4.1
4.6
3.4
4.1

41.0
40.8
39.6
39.0
41.0
37.6
38.7
42.6
41.3
41.4
41.1
41.1
41.1
40,3
41.9
39.7

43.5
42.7
40.4
39.9
41.6
38.7
39.8
42.3
41.7
41.9
41.5
414
41.8
41.1
42.5
39.9

33.4
40.1
40.5
38.6
39,1
38.8
36.9
41.9
39.4
40.5
41.4
41.3
41.9
40.7
431
39.7

33.9
40.8
40.4
39.6
40.2
39.7
37.9
41.8
39.8
39.5
41.0
40.8
41.6
40.7
42.5
39.4

4.7
2.4
3.2
3.9
2.9
2.6
4.9
3.3
4.5
4.3
4.4
4.0
4.0
4.0
4.4

6.0
3,6
3.2
3,8
2.9
2.7
4.7
3.4
4.8
4.8
48
4.7
4.7
4.6
4.3

3.8
3.6
2.8
3.1
2.7
2.6
5.0
2.8
4.6
5.2
5.2
5.1
5.0
5.2
3.9

4.8
3.9
2.9
3,9
2.2
3.0
5.0
2.4
4.2
4.B
4.8
5,0
5.1
4.8
3,8

39.7
39.7
41.9

39.4
40.3
42.1

39.7
39.7
42.0

39.8
39.1
41.9

4.4
4.4
4.8

3.8
4.7
4.9

3.0
4.6
4.9

3,3
4,3
4.4

See footnotes at end of table.




Average overtime hours

128

42.1

42.5

40.8

May
2005 P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B»16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payroiis by detailed
industry-—Continued
Average hourly earnings

Industry

2002
NAICS
code

Average weekly earnings

Apr.
2004

lay
2004

Mar.
2005

2005

3212
321211,2
321213,4
3219
32191
321911

$13.14
13.80
12.24
12.49
13.01
13.43

$13.34
13.98
12.63
12.45
13.08
13.56

$12.93
13.80
12.12
12,75
13.52
14.19

$12.92
13.91
12.00
12.85
13.59
14.39

321912,8
32192
32199
321991

12.61
11.59
12.23
12.84

12.62
11.27
12.19
12.88

12.90
10.83
12,78
13.21

12.82
10.59
13.13
13.80

Nonmetallic mineral products...
Clay products and refractories...........
Pottery, ceramics, and plumbing fixtures.............
Clay building material and refractories...........
Glass and glass products
Flat glass and other pressed and blown glass
and glassware
Glass products made of purchased glass
Cement and concrete products...............................
Ready-mix concrete
..........................
Other cement and concrete products...
Lime, gypsum, and other nonmetallic minerai
products
.....................

327
3271
32711
32712
3272

16.17
14.82
13.89
15.55
16.74

16.16
14.67
13.82
15.38
16.74

16.28
15.18
14.43
15.77
17.10

16.69
15.59
15.23
15.86
17.16

327211,2
327215
3273
32732
32731,3,9

18.04
14.69
16.32
17.55
14.83

18.00
14.81
16.40
17.67
14.78

18.60
15.12
16.12
16.72
15.43

18.58
14.95
16.72
17.31
15.96

3274,9

15.98 i

15.82 16.56

16.87

Primary metals.............................................
iron and steel mills and ferroalloy production..........
Steel products from purchased steel.......
Iron, steel pipe, and tube from purchase steel.....
Roiling and drawing of purchased steel................
Alumina and aluminum production....................
Other nonferrous metal production..........................
Rolled, drawn, extruded, and alloyed copper
Nonferrous metal, except CU and AL, shaping....
Foundries.,....,
Ferrous metal foundries........
Iron foundries,....,...
.....................................
Steef foundries...,..,.,
Honferrous metal foundries...................................

331
3311
3312
33121
33122
3313
3314
33142
33149
3315
33151
331511
331512,3
33152

18.51
23.27
17.29
16.58
17.87
16.43
19.41
20.11
17.71
16.75
18.47
1974
15.69
14.52

18.47
23.01
17.49
16.84
18.04
16.25
19.65
20.35
17.84
16.76
18,41
19.76
15.44
14.56

18.76
23.39
16.82
16.61
16.98
16.30
19.90
20.68
18.32
17.31
19.12
21.12
15.11
14.87

18.79
23.34
17.12
16.93
17.27
16.54
20.11
21.00
18.21
17.14
18.67
20.49
14.98
15.03

18.85

Fabricated metal products...................................
Forging and stamping............
iron and steel forging........
Metal stamping
Cutlery and hand tools........
Hand and edge tools
Architectural and structural metals
Plate work and fabricated structural products......
Prefabricated metal buildings and
components
....................................................
Fabricated structural metal products........
Plate woifc.....................
Ornamental and architectural metal products.......
Metal windows &nxH doors
Sheet metal work..............
Ornamental and architectural metal work
Boilers, tanks, and shipping containers...................
Hardware........................
Spring and wire products..............
Machine shops and threaded products.............
Machine shops.......
Turned products and screws, nuts, and bolts
Precision turned products.................
Bolts, nuts, screws, rivets, and washers
Coating, engraving, and heat treating metals
Metal heat treating and coating and
nonprecious engraving
Electroplating, anodizing, and coloring metals..
Other fabricated metal products.............

332
3321
332111
332116
3322
332212
3323
33231

15.21
15.93
17.70
15.01
15.16
15.06
14.58
14.80

15.20
16.09
17.76
15.22
15.09
15.01
14.50
14,81

15.62
16.22
17.99
15.05
15.43
14.98
14.91
15.29

15.64
16.27
18.27
14.98
15.48
15.02
14.99
15.33

15.66

332311
332312
332313
33232
332321
332322
332323
3324
3325
3326
3327
33271
33272
332721
332722
3328

13.90
14.95
15.03
14.42
13.59
15.00
14.68
16.64
14.85
14.07
15.76
15.74
15.80
15.32
16.30
13.24

13.94
15.01
14.97
14.25
13.57
14.69
14.57
16.67
14.92
14.20
15.75
15.75
15.75
15.32
16.21
13.09

13.83
15.46
15.62
14.62
13.72
15.11
15.14
17.39
15.20
15,26
16.28
16.35
16.08
15.50
16.66
13.11

332811,2
332813
3329

13.38
13.12
15.98

13.04
13.14
16.04

13.41
12.86
16.38

Durable goods-Continued
Plywood and engineered wood products
Hardwood and softwood veneer and plywood..
Engineered wood members and trusses..........
Other wood products..,.,,.........
Miflwork
Wood windows and doors............................
Cut stock, resawing lumbar, planing, and
other miilwork, Including flooring
Wood containers and pallets.............*.....*...
All other wood products......
Manufactured and mobile homes.............

See footnotes at em$ of table.




129

May
2005 P

Apr.
2004

May
2004

Mar.
2005

May
2005 P

$558.45 $581.62 $536.60 $523.26
586.50 605.33 565.80 567.53
521.42 558.25 507.83 489.60
493.36 501.74 478.13 488.30
519.10 532.36 507.00 520.50
550.63 569.52 533.54 556.89

$16.59

490.53
446.22
481.86
507.18

499.75
441.78
492.48
510.05

482.46
397,46
486.92
495.38

485.88
391.83
500.25
509.22

683.99
600.21
515.32
677.98
711.45

683.57
588.27
522.40
650.57
713.12

669.11
610.24
554.11
657.61
723.33

695.97 $698.44
648.54
595.49
693.08
719.00

750,46
624.33
695.23
744.12
636.21

7'45.20
635.35
698.64
759.81
623.72

781.20
651.67
664.14
687.19
637.26

767.35
641.36
703.91
740.87
657.55

682.35

675.51

664.06

683.24

799.63 303,45 806.68 798.58
1,023.88 1,012.44 1,040.86 1,036.30
720.99 743.33 696.35 720.75
694.70 730.86 647.79 683.97
743.39 754.07 735.23 749.52
701.56 695.50 712.31
842,39 850.85 889.53 862.72
884.84 887.26 926.46 884.10
733.19 740.36 798.75 775.75
728.63 735.76 723.56 714.74
820.07 837.66 816.42 802.81
902.12 922.79 908.16 891.32
657.41 663.92 634.62 627.66
615.65 611.52 605.21 602.70
620.57
646.76
784.54
588.39
630.66
634.03
577.37
599.40

627.76
659.69
784.99
605.76
615.67
622.92
593.05
624.98

634.17
782.57
611.03
628.00
614.18
578.51
597.84

634.98
660.56
780.13
599.20
628.49
620.33
593.60
607.07

14.13
15.43
15.66
14J3
14.04
15.24
14.79
17.36
14.94
15.32
16.32
16.42
16.05
15.62
16.50
13.2S

569.90
609,96
595.19
562.38
557.19
564.00
568.12
708.86
613.31
582.50
647.74
646.91
649.38
617.40
682.97
525.63

606.39
640.93
604.79
568.58
564.51
568.50
579.89
705.14
622.16
594.98
653.63
652.05
658.35
629.65
522.29

461.92
619.95
632.61
564.33
536.45
586.27
558,67
728.64
598,88
618.03
673.99
675.26
673.75
630.85
718.05
520.47

479.01
629.54
632.66
583.31
564.41
605.03
560.54
725.65
594.61
605.14
669.12
669.94
667.68
635.73
701.25
522.44

13.58
12.99
16.22

531.19
520.86
669.56

513.78
529.54
675.28

532.38
510.54
687.96

540.48
507.91
679.62

801,13

638.93

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisoiy workers1 on private nonfarm payrolls by detailed
industry-—Continued
2002
NAICS
code

Industry

May
2004

Mar.
2005

41.1
42.3

4.6
5.1

4.8
5.8

3.9
5.4

3.7
5.0

41.6
42.5
46.4

407
42.4
43,2

4.6
4.9
5.8

4.5
5.0
5.4

3.4
5.5
7.3

2.9
4.7
3.5

43.4
41.7

43.6
41.0

43,3
419

4.3
4.8

4.3
5.0

4.3
5.2

3.9
5.3

41.6
42.5
42.5
42.8
41.2
40.5
41.3
41.5

42.3
42.7
42.9
43.3
41.4
41.9
41.2
40.0

42.2
43.2
41.6
42.3
41.9
42.3
39.9
39.4

42.0
42.3
41.4
42.0
42.2
42.2
40.4
37.4

4.4
5,2
4.9
5.5
4.7
3.6
2.8
2.5

4.9
5.0
4.7
5.4
4.7
4.4
2.9
2.5

5.1
6.4
4.6
4.9
5.6
5.1
3.2
36

5.0
5.8
4.5
4.8
5.4
5.2
3.4
3.8

333311,2,4,9
3334
333415
3335
333511
333512,3
333514
333515.6,8
3336

41.3
41.2
41.3
41.7
40.3
41.1
42.4
42.4
41.7

41.7
42.5
43.0
42.4
41.0
42.2
43.0
43.1
41.9

40.1
41.7
40.6
42.3
43.2
40.3
42.8
41.9
43.0

41.1
41.5
40.5
41.9
42.1
40.1
42 f!
41.4
42.4

3.0
4.4
4.6
4.4
4.2
4.3
4.7
3.9
5.6

3.2
5.2
5.5
5.1
4.9
4,7
5.5
4.8
5.7

3.4
3,7
3.6
5.3
6.4
4.8
5.3
4.3
5.9

3.6
3.9
3.7
5.2
5.7
4.5
5.3
4.8
5.3

333612,3,8
3339
33391

41.7
41.5
42.3

41.7
42.8
43.2

42.5
42.4
45.0

42.2
42.5
44.2

5.9
4.6
4.9

5.8
5.2
4.9

5.8
5.1
5.8

5.3
5.3
5.2

333911,3
33392
333922
33399

40.6
41.1
41.2
41.5

41.9
42.4
44.0
42.8

44.0
42.8
45.3
41.4

44.0
43.0
46 2
41.7

4.6
3.8
3.2
4.9

4.7
5.0
6.3
5.4

5.4
4.8
6.8
5.0

5.2
4.7
7.0
5.6

334
3341
3342

40.2
40.4
40.3

40.6
40.1
41.0

39.5
39.3
41.2

39.4
38.3
40.6

3.5

3.6

3.4

3,2

3.2

3.8

3.4

3,1

33422
3343
3344
334412
334413
334418

40.6
39.7
40.3
40.3
40.5
39.5

41.6
40.0
41.1
42.1
41.2
39.7

42.2
39.2
38.9
40.3
38.2
38.2

41.8
39.1
38.9
40.1
38.5
38.0

334415,6,7,9
3345
33451

40.8
39.5
40.2

41.0
40.0
40.1

39.8
39.8
40.9

~ 334511
334513
334515
334517
334514,6,8,9

38.2
39.3
42.8
39.3

39.8
39.1
38.8
43.6
39.8

40.5
40.6
42.0
40.2
37.6
42.0
40.4
42.4
41.3
41.3
40.6

41.4
41.2
43.2
40.6
39.3
42.4
40.6
43.6
41.7
41.9
41.3

MisceUaneous fabricate
Machinery
Agricultural, construction, and mining machinery....
Agricultural implements
Farm machinery and equipment
Construction machinery
Industrial machinery
Commercial and service industry machinery
Photographic and photocopying equipment
Miscellaneous commercial and service
industry machinery
HVAC and commercial refrigeration equipment
AC, refrigeration, and forced air heating
Metalworking machinery
Industrial molds
Metal cutting and forming machine tools
Special tools, dies, jigs, and fixtures
Miscellaneous metalworking machinery
Turbine and power transmission equipment
Power transmission and miscellaneous
engine equipment
.
Other general purpose machinery
Pumps and compressors
Pumps and pumping equipment, including
measuring and dispensing
Material handling equipment
Conveyor and conveying equipment
All other general purpose machinery

Electrical equipment and appliances
Electric lighting equipment
Electric lamp bulbs and parts
Lighting fixtures
Household appliances
Electrical equipment
Motors and generators
Switchgearand switchboard apparatus.....
Relays and industrial controls
Other electrical equipment and components
Wiring devices

Apr.
2004

May
2004

Mar.
2005

Apr.
2005P

33291
332912

407
40.7

41.4
41.2

41.0
42.1

332911,9
33299
332991

41,3
42.5
43,8

42.2
42.4
43.8

332992,3,4,5
332996,7,8,9

42.7
42.0

333
3331
33311
333111
33312
3332
3333
333315

335
3351
33511
33512
3352
3353
335312
335313
335314
3359
33593

See footnotes at end of table.




Average overtime hours

2004

Durable goods-Continued
Metal valves,..
Fluid power valves and hose fittings
Industrial valves and other metal valves and
pipe fittings........
,
,,
All other fabricated metal products
Ball and roller bearings
Small arms, ammunition, and other ordnance

Computer and electronic products
Computer and peripheral equipment
.
Communications equipment
Broadcast and wireless communications
equipment
Audio and video equipment
Semiconductors and electronic components
Bare printed circuit boards
Semiconductors and related devices
Printed circuit assemblies
Electronic connectors and misc. electronic
components
Electronic instruments
Electromedical apparatus
Search, detection, and navigation
instruments
Industrial process variable instruments
Electricity and signal testing instruments
irradiation apparatus
Miscellaneous electronic instruments

Average weekly hours

130

42.0

39.8

May
2005 P

3.6

4.4

3.8

3.5

4.6
4.2
5.7
3.2

4.7
5.5
5.6
3.0

4.3
4.®
5.1
2.9

4,3
4,4
5.1
3,3

39.4
39.9
40.6

4.0
2.6

3.7
2,8

4.0
3.1

3,7
2,8

39.9
35.5
40.3
43.1
40.6

40.5
36.0
40.2
43.3
40.8

2.6
2.1
2.0

3.1
2.2
1.9

3.2
1.8
3.4

3.3
2.0
3.2

2.7

3.2

2.5

1.9

39.9
41.5
42.5
41.2
37.8
40.4
39.7
39.8
41.1
40.3
40.3

39.8
41.9
40.9
42.2
37.7
39.9
37.9
40.1
40.8
40.3
40.1

4.0
4.0
3.0
4.3
2.5
4.1
3.2
5.4
3.2
5.0
4.6

4.3
4.6
3,8
4.9
2.7
4.3
3.4
5.6
3.6
5.3
4.7

3.4
3.3
3.8
3.2
1.5
3.9
3.4
4.2
4.0
4.4
4.0

3.1
3.7
2,5
4.1
1,3
3,2
2.3
4.3
2.9
4.1
3.9

39.7

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervlsory workers 1 on private nonfarm payrolls by detailed
industry—Continued

industry

2002
NAICS
code

Average hourly earnings

Average weekly earnings

2004

Apr.

May
2004

Mar.
2005

$16.01
17.44

$16.04
17.72

$16.46
18.04

$16.35
17.91

15.60
15.97
17.68

15.43
16.04
17.58

15.65
16.34
18.75

15.59
16.16
17.79

18.17
14.74

18.14
14.86

18.82
14.85

18.84
14.97

16.54
14.89
14.13
15.66
16.11
17.31
18.28
25.40

16.54
14.81
14.04
15.46
15,87
17.23
18.31
25.85

17.02
16.32
15.75
16.40
17.02
17.40
19.37
28.18

16.99
16.13
15.71
16.40
16.90
17.20
19.29
28.49

333311,2,4,9
HVAC and commercial refrigeration equipment...... 3334
AC, refrigeration, and forced air heating..
333415
Metalworking machinery
3335
Industrial molds
333511
Metal cutting and forming machine tools........... 333512,3
Special tools, dies, jigs, and fixtures...........
333514
Miscellaneous metalworking machinery
333515,6,8
Turbine and power transmission equipment........... 3336

16,36
14.75
14.33
17.64
18.21
17.32
17,42
17.77
17.61

16.38
14.85
14.45
1777
18.18
17.40
17.71
17.77
17.71

17.18
14.67
14.67
17.74
17.93
17.62
17.52
18.08
18.55

17.14
14.64
14.81
17.80
17.97
17.55
17.60
18.26
18.56

675.67
607.70
591.83
735.59
733,86
711.85
738.61
753.45
734.34

683.05
831.13
621.35
753.45
745.38
734.28
761.53
765.89
742.05

688.92
611.74
595.60
750.40
774.58
710.09
749.86
757.55
797.65

704.45
607.56
599.81
745.82
756.54
703.76
753.28
755.96
786.94

Power transmission and miscellaneous
engine equipment
Other general purpose machinery...............
Pumps and compressors.

333612,3,8
3339
33391

16.63
16.59
18.06

16.65
16.45
17.93

17.36
16.78
18.82

17.38
16.87
18.85

693.47
688.49
763.94

694.31
704,06
774.58

737.80
711.47
846.90

733.44
716.98
833.17

333911,3
33392
333922
3339S
334
3341
3342

18.48
14.67
14.45
17.14

18.26
14.70
14.62
16.92

19.46
14.92
15.25
17.24

19.46
14.83
15.20
17.48

16.6i

17.13
19.92
16.93

18.00
21.55
17.48

18.21
22.08
17.80

765.09
623.28
643.28
724.18
695.48
798.79
694.13

856.24
638.58
690.83
713.74

17,02
20.00

750.29
602.94
595.34
711,31
634.20
808.00
672.61

711.00
846.92
720.18

856.24
637.69
702.24
728.92
717.47 727.94
845.66
722.68

33422
3343
3344
334412
334413
334418

15.49
18.51
16.03
13.05
19,33
13.87

15.57
17.87
16.21
13.22
19.61
13.94

15.54
19.87
16.95
13.84
21.25
13.48

15.78
20.43
17.14
13.86
21.56
13.72

628.89
734.85
646.01
525.92
782.87
547.87

647.71
714.80
666.23
556.56
807.93
553.42

655.79
778.90
659.36
557.75
811.75
514.94

659.60
798.81
666.75
555.79
830.06
521.36

334415,6,7,9
3345
33451

13.37
17.26
14.74

13.40
17.29
14.55

13.66
17.47
15.19

13.60
17.50
15,34

545.50
681.77
592.55

549.40
691.60
583.46

543.67
695.31
621.27

535.84
698.25
622.80

334511
334513
334515
334517
334514,6,8,9
335
3351
33511
33512
3352
3353
335312
335313
335314
3359
33593

20.37
16.66
17.72
22.26
17.24

20.69
16.73
17.91
22.21
17.26

20.71
15.71
17.93
20.95
17.86

20.76
15.88
17.83
21.09
17.60

14,86
14.88
19.50
13.28
14.51
14.76
13.40
16.49
15.65
15.20
14.37

15.10
15.01
20.52
13.22
14.44
15.17
13.59
16.91
15.89
15.55
14.44

15.07
15.17
20.13
13.63
14.27
15.12
13.73
16.67
15.73
15.55
14.31

823.46
654.14
694.91
968.36
686.95
615.20
613.06
842.40
539.17
570.24
625.82
544,04
718.96
652.61
636.88
593.48

826.33
557.71
722.58
902.95
726.12

14.84
14.72
19.31
13.16
14.49
14.78
13.26
16.47
15.54
15.24
14.41

804.62
636.41
696.40
952.73
677.53
601.02
597.63
811.02
529.03
544.62
618.66
535.70
698.33
641.80
629.41
585.05

840.78
571.68
716.77
913.20
718.08
599.79 596.29
635.62
823.32
575.19
537.98
603.29
520.37
668.47
641.78
626.67
573.83

Durable goods-Continued
Metal valves...
Fluid power valves and hose fittings.................
Industrial valves and other metal valves and
pipe fittings.
All other fabricated metal products
Ball and roller bearings.,..
Small arms, ammunition, and other ordnance
and accessories
Miscellaneous fabricated metal products

33291
332912
332911,0
33299
332991

332992,3,4,5
332996,7,8,9
333
Machinery
Agricultural, construction, and mining machinery.... 3331
33311
Agricuituralimplements.....
333111
Farm machinery and equipment...
33312
Construction machinery
3332
Industrial machinery........
3333
Commercial and service industry machinery..
Photographic and photocopying equipment...... 333315
Miscellaneous commercial and service
industry machinery

Apr.
2005P

May
2005

Apr.
2004

May
2004

Computer and electronic products.........................
Computer and peripheral equipment...
Communications equipment....................... ..,
Broadcast and wireless communications
equipment
Audio and video equipment..................................
Semiconductors and electronic components.,...
Bare printed circuit boards....................
Semiconductors and related devices............
Printed circuit assemblies..
Electronic connectors and misc. electronic
components
Electronic instruments

Electromedical apparatus
Search, detection, and navigation
instruments
Industrial process variable instruments........
Electricity and signal testing instruments.....
Irradiation apparatus.
Miscellaneous electronic Instruments..........
Electrical equipment and appliances..................
Electric lighting equipment..............................
Electric lamp bulbs and parts..................
Lighting fixtures..........
Household appliances..................................
Electrical equipment
Motors and generators.....
Switchgear and switchboard apparatus....
Relays and industrial controls....................
Other electrical equipment and components...
Wiring devices.......
See footnotes at end of table.




131

Apr.
2005

May
2005 P

$651.61 $664.06 $674.86 $671.99
709.81 730.06 759.48 757.59

644.28
678.73
774.38

651.15
630.10
770.00

65104
694.45
870.00

634.51
685.18
768.53

775.86 787.28 820.55 815,77
619.08 619.66 608.85 627.24
688.06 699.64 718.24 713.58 $709,38
$16.89
632.83 632.39 705.02 682.30
600.53 602.32 655.20 650.39
670.25 669.42 693.72 688.80
663.73 657.02 713.14 713.18
701.06 721.94 736.02 725.84
754.96 754.37 772.86 779.32
1,054.10 1,034.00 1,110.29 1,065.53

Pumps and pumping equipment, including
measuring and dispensing
Material handling equipment.................................
Conveyor and conveying equipment.....
All other general purpose machinery.............

Mar.
2005

18.29

15.02

602.49
622.92
872.10
544.66
545.83
612.87
539.52
673.02
653.08
626.67
581.93

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B~16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarrrn payrolls by detailed
industry—Continued

Industry

2002
NAICS
code

Durable goods-Continued
335931
Current-carrying wiring devices
All other electrical equipment and components... 33599
Transportation equipment
Motor vehicles and parts
Motor vehicles
Automobiles and light trucks
Automobiles
Light trucks and utility vehicles
Heavy duty trucks
Motor vehicle bodies and trailers
Motor vehicle bodies
Truck trailers
Travel trailers and campers
.
Motor vehicle parts
Motor vehicle gasoline engine and parts.....
Gasoline engine and engine parts..
Motor vehicle electric equipment
Other motor vehicle electric equipment
Motor vehicle steering and suspension parts
Motor vehicle power train components
,
Motor vehicle seating and interior trim
Motor vehicle metal stamping
Other motor vehicle parts
All other motor vehicle parts
Aerospace products and parts
Aircraft
Aircraft engines and engine parts
Other aircraft parts and equipment
Ship and boat building
Ship building and repairing
Boatbuilding
Furniture and related products
.
Household and institutional furniture
Wood kitchen cabinets and countertops
Other household and institutional furniture..
Upholstered household furniture
Nonupholstered wood household furniture
Miscellaneous household and institutional
furniture
Office furniture and fixtures....
Wood office furniture and custom
architectural woodwork and millwork
Showcases, partitions, shelving, and lockers..
Other furniture-related products
Miscellaneous manufacturing
Medical equipment and supplies
Surgical and medical instruments
Surgical appliances and supplies
Dental laboratories
Other miscellaneous manufacturing
Jewelry and silverware.........
Sporting and athletic goods
Office supplies, except paper
Signs
All other miscellaneous manufacturing..

2004

May
2004

Mar.
2005

Apr.
2005P

40.0
37.7

41.0
39.2

40.5
37.3

39.9
37.8

42.3

May

2005I

2004

2004

4.4
2.5

5.4
5.1
5.4
5,5
5.2
3.1
4.7
64
4.9
2.9
5.6
6.1
6.0
4.9
5.3
8.5
8.5
3.5
53
4.4
4.6
4.9
4.1
6,4
5.4
5.7
6.6
4.2

4.6
3.0
5.7
5.8
5.9
6.3
6.8
5.5
3.3
4.5
5.9
4.9
2.8
6.1
6.3
6.4
5.2
5.7
9.2
8.5
3.9
5.9
5.6
5.8
5.0
4.0
6.6
5.6
5.9
7.1
4.1

3.9
4.2
5.7
3.1
2.6
2.7

3.8
3.9
5.9
2.6
18
2.1

3.1
3.4
3.8
3.1
3.0
3.0

2.8
3.0
3.6
2.6
2.6
2,1

5.1
3.0

5.3
3.4

3.3
2.7

3.7
2.4

2.9
2.8
3.8

3.2
2.2
2.4

2.1
2.2
18

3.1
3,0
3.6
3.7

3.4
2.8
3.6
3.2
3.4
4.6
4.0

3.5
4.0
5.2
4.3

3.3
3.6
4.4
4.0

3.2
2.2
5.0
1.2
3.0
3.3

3.1
2.5
4.8
18
2.9
3.0

3.0
3.6
3.9
17
2.7
2.9

3.0
4.5
3.4
2.2
3.0
2.5

4.3

4.2

4.1

4.5
6.0
6.4
5.9
2.5
3.9

4.3
5.6
6.2
5.6
2.6
4.3

4.3
5.1
6.0
5.5
2.4
3.5

3.4
3.4
2.0

3.8
4.1
2.9

42.2

41.8

43.2
43.5
44.0
44.3
43,5
40.0
42 2
44.2
41.4
40.1
43.4
43.1
44.0
42.0
43.1
45.3
47.6
40.7
43.3
42.0
41.8
42.3
41.3
44.7
41.9
42.9
44.7
40.0

41.9
42.1
42.7
42.7
42.8
38.6
41.4
44.8
41.3
38.4
42.0
42.9
44.0
42.1
43.0
42.6
46.8
39.2
41.0
40.7
40.5
43.0
42.3
44.2
43.1
42.6
44.4
39.8

41.4
416
42.0
42.4
41.5
39.2
40.1
41.9
40.5
39.0
41.7
42.8
44.2
41.4
42.2
42.0
45.4
39.3
410
40.5
40.4
42.9
419
44.6
43.1
43.2
45.2
40.0

39.5
40.1
41.5
39.2
38.4
36.7

39.7
40.2
42.2
38.9
37.5
38.2

39.4
40.0
39.8
40.1
39.7
40.5

39.1
39.6
39.9
39.4
38.4
40.1

337124,5.7,9
3372

41.8
38.2

43.1

40.2
38.0

40.1
37.9

337211,2
337215
3379
339
3391
339112
339113
339116

37.8
37.8
37.7

38.4
38.2
37.6

39.3
37.2
38.2

37.1
37.9
37.6

38.3
37.6
38.1
38.7
34.8
38.9
36.9
43.1
36.4
39.5
38.0

38.9
38.6
39.8
39.3
35.6
39.2
37.3
42.6
37.7
39.4
38,3

39.0
38.9
42.1
39.1
33.3
39.1
39.6
40.5
36.8
37.7
38.8

38.8
38.7
41.1
39.3
33.7
38.8
40.8
40.2
37.5
37.5
37.9

38.5

39.7

40.2

39.6

39.5

39.7

4.1

38.4
40.7
42.3
42.7
37.5
41.2
35.6
38.8
38 9
37.8

39.5
41.9
42.8
42.7
38.4
42.5
37.2
39.3
38.3
36.8

38.2
40.3
42.4
43.0
34.2
41.3
29.6
38.6
38.3
37.1

38.3
39.4
42.5
43.4
35.1
40.6
314
39.4
39.5
38.1

38.8

40
6.0
58
5.4
2.5
4.2
3.6
4.2
4.4

3.8
3.8
3.3

33991
33992
33994
33995
33999
311
3111
3112
31121,2
3113
31131
31132,3
3114
31141
311411

132

38.7

May
2005 P

5.2
6.3
3.6

42.9

419
415

Mar
2005

3.9
2.6
5.0
4.8
4.8
5.2
5.6
4.6
2.7
4.3
6.1
39
2.8
5.0
5.6
5.7
4.7
5.0
6.1
7.5
3,3
4.8
39
4.1
5,7
4.6
6.8
6.5
5.5
6.5
4.0

42.5
42.9
43.2
43.6
42.6
40.9
42.1
44.3
41.6
40.0
42.5
42.3
43.0
42.2
43.3
44.4
47.2
39.8
42.3
40.1
40.0
42.2
41.3
44.2
41.9
42.0
43.3
39.9

See footnotes at end of table.




Average overtime hours

336
3361,2,3
3361
33611
336111
336112
33612
3362
336211
336212
336214
3363
33631
336312
33632
336322
33633
33635
33636
33637
33639
336399
3364
336411
336412
336413
3366
336611
336612
337
3371
33711
33712
337121
337122

Nondurable goods
Food manufacturing
..,..
Animal food
Grain and oilseed milling
Flour milling, malt, starch, and vegetable oil.
Sugar and confectionery products.
Sugar
Chocolate confectioneries
Fruit and vegetable preserving and specialty...
Frozen food
«.
Frozen fruits and vegetables

Average weekly hours

5.2

4.2
2.8

5.3
5.2
5.3
5.9
6.3
S.2
2.0
4.1
5.9
3.7
2.4
5.4
6.1
6.2
5.2
5.6
7,3
8.3
3.3
5.2
4.1
4.4
5.8
4.7
6.5
e.7

42

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
Industry

2002
NAICS
code

Apr.
2004

May
2004

Mar.
2005

2uO5

$14.44
14,04

&14.42
113.72

$14.40
14.27

$14.24
14.78

336

21.31

21.25

21.84

21.79

3361,2,3
3361
33611
336111
336112
33612
3362
336211
336212
336214
3363
33631
336312
33632
336322
33633
33635
33636
33637
33639
336399
3364
336411
336412
336413
3366
336611
336612

21.57
28.06
26.61
29.69
26.66
24.06
16.65
20.26
13.23
14.04
20.27
22.17
23.02
18.32
18,77
26.39
25,63
15.90
22.67
16.24
16.31
23.56
26.42
24.41
18.00
16.60
18,23
13.84

21.44
28.15
28.75
30.14
26.35
.'23.72
16.39
9 92
13.07
13.90
20.12
21.98
22.87
118.44
118,93
26.24
25.40
15.72
22.83
15.97
16.00
23.66
26.48
24.56
18.20
16.86
18.66
13.73

21.98
28.72
29.59
30.78
27.71
22.94
17.37
20.32
13.77
15.01
20.62
22.30
23.38
19.34
20.05
27.69
25.83
14.87
23.53
16.21
16.30
24.58
28.13
25.30
18.53
17,32
18.80
14.72

21.90
28,62
29.43
30.78
27.32
23.49
17.39
20.44
13.59
15.38
20.51
22,31
23.40
19.23
19.91
27.40
25.60
14.91
23.28
16.26
16.29
24.60
28.13
25.13
18.57
17,36
18,85

Furniture and related products..............................
Household and institutional furniture
Wood kitchen cabinets and couniertops....-.,..,,,„
Other household and institutional furniture
Upholstered household furniture
Nonuphotstered wood household furniture......
Miscellaneous household and institutional
furniture.....
.,.,.............,..,.....,,,>..........
Office furniture and fixture*..,...................................
Wood office furniture and custom
architectural woodwork and millwork
Showcases, partitions, shelving, and lockers...
Other furniture-related products...............................

337
3371
33711
33712
337121
337122

13.10
12.84
13.39
12,45
13.08
11.55

13.05
12.75
13.28
12.36
12.94
11.51

13.37
13.03
13.45
12.72
13.34
12.05

13.46
13.17
13,87
12.63
13.32
11.93

337124,5,7,9
3372

12.97
14.28

12.85
14.29

12.73
14.52

337211,2
337215
3379

14.79
13.44
12,34

14.90
13,35
12.39

Miscellaneous manufacturing.
Medical equipment and supplies.............
Surgical and medical instruments,**....
Surgical appliances and supplies........
Dental laboratories...............................
Other miscellaneous manufacturing
Jewelry and silverware............................
Sporting and athletic goods,...,,...,....,.,..
Office supplies, except paper,..,., «...
Signs....,.,.......,
All other miscellaneous manufacturing..

339
3391
339112
339113
339116
3399
33991
33992
33994
33995

13.71
14.10
13,84
13.74
15.31
13,40
13,00
12.78
11.87
14,73
13-58

Durable goods-Continued
335931
Current-carrying wiring devices....
All other electrical equipment and components.... 33599
Transportation equipment.......
Motor vehicles and parts,.
Motor vehicles
..........
Automobiles and light tfucte........................
Automobiles.............
..............................
Light trucks and utility vehicles..........
Heavy duty trucks
.......................
Motor vehicle bodies and trailers.....
Motor vehicle bodies..................
Truck trailers....
Travel trailers and campers...
Motor vehicle parts
Motor vehicle gasoline engine and parts.......
Gasoline engine and engine parts...............
Motor vehicle electric equipment
Other motor vehicle electric equipment........
Motor vehicle steering and suspension parts..
Motor vehicle power train components............
Motor vehicle seating and interior trim...,.........
Motor vehicle metal stamping...........................
Other motor vehicle parts.................................
AH other motor vehicle parts..
.................
Aerospace products and parts... ....................
Aircraft........
..................
Aircraft engines and engine parts....,....,,,..*..
Other aircraft parts and equipment.............
Ship and boat building
....................................
Ship building and repairing...*..*.,......,,.....
Boatbuilding
...........................................

Nondurable goods..........
Focsd manufacturing..,,.....,,....*.,...
Animal food
Grain and oilseed milling...............
Flour milling, malt starch, and vegetable oil
Sugar and confectionery products.......................
Sugar
.................................
Chocolate confectioneries,,........
Fruit and vegetable preserving and specialty.....
Frozen food......................
Frozen fruits and vegetables.........................

311
3111
3112
31121,2
3113
31131
31132,3
3114
31141
311411

Apr.
2004

May
2004

Mar.
2005

20015

May
2005 P

$577.60 $591.22 $583.20 $568.18
529.31 537.82 532.27 558.68
910.82 $915,10

901.41

911.63

921.65

916,73
1,203.77
1,235.95
1,294.48
1,135.72
984.05
700,97
897.52
550.37
561.60
861.48
937.79
989.86
773.10
812,74
1,171.72
1,209.74
632.82
958.94
651.22
652.40
994.23
1,091.15
1,078.92
754.20
697.20
789.36
552,22

926.21
1,224.53
1,265.00
1,335.20
1,146.23
948.80
691.66
880.46
541.10
557.39
873.21
947.34
1,006.28
774.48
815,88
1,188.67
1,209.04
639.80
988,54
67074
638.80
1,000.82
1,093,62
1,097.83
762,58
723.29
834.10
549.20

920.96
1,209.11
1,263.49
1,314.31
1,185.99
885,48
719.12
910.34
56870
576.38
866.04
956.67
1,02872
814.21
862.15
1,179.59
1,208.84
582.90
96473
65975
660.15
1,056.94
1,189.90
1,118.26
798.64
737.83
83472
585.86

906.66
1,190.59
1,236.06
1,305.07
1,13378
920.81
697.34
856.44
550.40
599.82
855.27
954.87
1,034.28
796.12
840.20
1,150.80
1,162.24
585.96
954.48
658.53
658.12
1,055.34
1,178.65
1,120.80
800,37
749.95
852.02
589.60

517.45
514.88
555.69
488.04
502.27
446.99

518.09
512.55
560.42
480.80
485.25
439.68

52678
521.20
535.31
510.07
529.60
486.03

526.29
521.53
553.41
497.62
511.49
478.39

12.58
14.39

542.15
545.50

553.84
555.88

51175
55176

504.46
545.38

15.10
13.45
13.38

15.25
13.33
13.51

559.06
508.03
465.22

572.16
509.97
465.86

593.43
500,34
511.12

56578
505.21
507.98

13.76
14.20
13.98
13.86
15.24
13.42
13.10
12.92
11.92
14.62
13.56

14.05
14.58
13.93
14,71
16.04
13.59
14.32
13,23
12.94
14.21
13.55

14.03
14.68
13,93
14.63
16.85
13.46
14,47
12.68
12.72
14.06
13.54

14,02

525.09
530.16
527.30
53174
532.79
521.26
47970
550.82
432.07
581.84
516.04

535.26
548.12
556.40
54470
542.54
526.06
488.63
550.39
449.38
576.03
519.35

547.95
567.16
586.45
575.16
534.13
531,37
567.07
535.82
476.19
53572
52574

544.36
568.12
572.52
574.96
567.85
522.25
590.38
50974
477,00
527,25
513.17

539.77

15.00

14.97

15.19

15,21

15.27

595,50

60179

601.52

600.80

606.22

12.98
14.25
19.18
16,50
15,51
15.91
15.72
12.80
11.92
13.00

12.96
14.18
19,55
16.97
15.26
15.44
15,47
12.90
11.89
12,58

13.02
14.13
19.19
17.27
15.52
15.96
15.81
12.75
11.88
12.31

12.99
14.05
19.22
17.26
15.28
16,37
15,35
12,58
11,71
12.65

13.07

498.43
579.98
811.31
704.55
581.63
655.49
56278
496,64
463,69
49140

511.92
594.14
83674
724.62
585.98
656.20
575.48
506.97
455.39
462.94

497.36
569.44
813.66
742.61
53078
659.15
467.98
492.15
455.00
456.70

497.52
553.57
816.85
749.08
536.33
664.62
48199
495.65
462,55
48197

507.12

See footnotes at end of table.




Average weekly earnings

133

$21.84

1474
13.45

520,52

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private noinfarm payrolls by detailed
industry—-Continued

Industry

Nondurable goods-Continued
Frozen specialty food
Fruit and vegetable canning and drying
Fruit and vegetable canning
Dried and dehydrated food
Dairy products
....
Dairy products, except frozen
Fluid milk
Animal slaughtering and processing
Animal, except poultry, slaughtering
Meat processed from carcasses, and
rendering and meat byproduct processing
Poultry processing
Seafood product preparation and packaging
Bakeries and tortilla manufacturing
Bread and bakery products
.
Retail bakeries
Commercial bakeries and frozen cakes and
other pastry products
Cookies, crackers, pasta, and tortillas.,.
Other food products
Snack food
Miscellaneous food products
.
Beverages and tobacco products
Beverages
Soft drinks and ice
Soft drinks
Breweries, wineries, and distilleries....

Textile mills
Fiber, yarn, and thread mills
Fabric mills
Broadwoven fabric mills
Textile and fabric finishing mills,
Broadwoven fabric finishing mills
Textile product mills
Textile furnishings mills
Curtain and linen mills
Other textile product mills
Textile bag and canvas mills
All other textile product mills
Apparel
Apparel knitting mills
Hosiery and sock mills
Sheer hosiery mills
Other 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 products
Footwear.. ,
Leather and hide tanning and finishing and other
leather products
Paper and paper products..
.
Pulpf paper, and paperboard mills
Pulp mills and paper mills
Paperboard mills
,.•
Converted paper products
Paperboard containers
Corrugated and solid fiber boxes
Folding paperboard boxes
Miscellaneous paperboard containers...
Paper bags and coated and treated paper
Coated and laminated package materials and

2002
NAICS

Apr.
2004

May
2004

Mar.
2005

Apr.
2005

311412
31142
311421
311423
3115
31151
311511
3116
311611

39.6
38.6
38.6
41.8
40.6
40.5
40.6
38.5
38.7

39.2
40.5
40.3
45.0
40.5
40.7
41.7
40.1
40.8

39.0
38.9
40.1
37.2
42.1
41.9
43.1
37.8
37.1

40.4
39.3
40.3
38.2
415
41.3
43.6
38.4
37.9

311612,3
311615
3117
3118
31181
311811

38.9
38.1
34.5
37.2
36.6
29.6

39.9
39.8
37.5
37.7
36.8
30.5

38.2
38.1
38.3
37.6
36.4
31.5

311812,3
31182,3
3119
31191
31192,3,4,9
312
3121
31211
312111
31212,3,4
313
3131
3132
31321
3133
313311
314
3141
31412
3149
31491
31499
315
3151
31511
315111
315119
3152
31521
315211
315212
31522
31523
3159
316
3162

40.5
38.7
38.0
37.2
38.4
39.8
40.2
40.3
40.6
40.0
39.6
40.5
39.5
38.8
38.9
38.1
38.4
39.1
37.3
37.3
39.2
36.1
36.0
37.1
38.1
36.6
38.9
35.8
35.1
36.3
34.8
36.2
37.0
36.6
39.5
38.4

40.3
39.9
39.4
40.7
38.7
39.6
39.6
39.4
39.9
39.9
40.3
40.5
40.1
39.5
40.5
38.8
38.5
38.9
37.1
38.0
40.3
36.5
36.3
38.4
39.0
36.1
40.6
35.7
34.5
36.0
34.1
36.9
37.2
37.9
38.4
37.7

3161,9
322
3221
32211,2
32213
3222
32221
322211
322212
322213,4,5
32222

40.4
41.8
43.6
431
45.0
41.0
41.6
42,6
41.5
38.3
40.7

322221,2

41.0

code

Apir.
2004

May
2004

Mar.
2005

2.9
2.6

3.9
3.8

3,5

3.3
36

4.6
4.2
4.1
3.8
3.8

5.0
4.6
4.6
4,6
4.2

4.8
4.3
4.5
4,1
4.5

5.0
4.6
4.9
4.3
4.4

37.9
39.0
33.5
37.1
36.1
31.0

5.5
3.1
3.3
3.6
3.5

6.2
4.2
4,0
4,0
3.8

5.0
3.5
4.5
4.3
3.9

4.8
4.1
13
4.5
4,2

39.1
40.5
37,2
36.5
37.6
40.0
39.9
41.6
42.8
37.6
40.3
43.7
39 3
40.0
39.1
39.4
39.6
41.4
41.3
37.0
37.4
36.7
36.2
37.9
39.0
38.3
39.5
35.6
34.4
36.8
33.7
35.8
39.4
39.6
37.6
38.1

3B.8
39.9
37.5
36.1
38.2
40.7
40.6
42.8
44.8
37.5
40 0
44.2
38.5
39.0
38.7
39.0
38.7
40.2
38.3
36J
37.6
36.1
35.9
36.8
36.7
33.8
38.4
35.6
34.2
36.3
33.5
35.4
39.8
37.6

4.6
3.9
5.0
4.7
5.1
4.8
5.5
5.5
6.0
5.6
4.4
4.0
4.4
4.0
4.8
4.8
2.4
2.6
2.9
2.2
3.0
1.7
2.1

4.9

5.2
5.4
5.2
4.9
5.3
5,0
5.6
6.9
7.2
3.8
3,8

39.0
42.3
44.1
44.1
44.2
41.5
41.6
41.8
44.3
37.9
41.1

37.2
41.6
42.7
42.5
43.1
41.2
41.7
41.8
45.1
37.1
41.3

38.0
42.0
43.4
43.2
44.1
41.3
42.3
42.0
44.8
40.5
40.4

41.2

41.4

40.7

See footnotes at end of table.




Average overtime hours

Average weekly hours

134

38.1
38.2

2005

39.1

40.7

38.7

35.2

38.7

42.2

46

05 P

5.5
5.3

48

2.7

5.8
6.8
5.3
5.0
5.6
5.6
6.1
5.6
4.5
4.1
4.5
4.0
5.0
4.8
2.5
2.4
2.5
2.7
4.0
1.8
2.0
2.7
2.6

3.9
4,4
4.0
4.5
4.3
4.6
5.3
3.9
4.2
3.7
2.1
3.2
2.6

3.9
5.3
6.0
6.7
8.0
8.3
4.9
3.8
4.3
3.5
3.9
3.9
4.2
4.1
4.2
4.4
3.8
4.2
3,6
1.9
2.8
2.1

2.9
2.2
2.5

3.0
1.9
1.8

2.7
1.9
1.2

2.8
1.7
1.1

2.7
1.0
3.3
1.0
3.0

1.8
1.1
3.6
0.8
2.7

1.3
1.9
4.1
2.1
1.4

1,2
1.5
3.9
1.9
1.9

4.1
5.3
6.3
6.1
6.8
4.8
5,2
5.7
5.3
3.2
5.0

4.0
5.5
7.1
7.3
6.7
4.8
5.0
5.2
6.0
2.9
5.3

1.5
5.1
6.8
6.3
8.0
4.3
4.5
4,4
6.7
2.3
5.2

2.5
5.2
7.1
6.7
8.0
4.4
4.8
4.7
6.7
2.7
4,6

5.6

5.9

5.6

5.1

26

35

May
2005 P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
Industry—Continued
Average hourly earnings
Industry

2002
NAICS
code

Mar.
2005

2004

May
2004

Mar.
2005

$11.28
13.85
13.39
13.37
16.61
16.75
18.39
11.51
11,79

$11.47
13.99
13.57
113.76
116.69
16.85
18.71
11.51
12.00

$11.63
13.72
13.17
13.66
16.68
16.64
17.81
11.38
11.60

$11.16
13.57
13.11
12.78
16.71
16.72
17.80
11.42
11.65

311612,3
311615
3117
3118
31181
311811

13.09
10.60
10.80
12.65
12.41
9.39

1)3.07
10,49
10.57
12.69
12,46
9.41

13,02
10,52
11.11
12.63
12.43
9.59

13.04
10.60
11.19
12.64
12.43
9.45

509.20
403.86
372.60
470.58
454.21
277.94

52149
417.50
396,38
478.41
458.53
287.01

497,36
400.81
425.51
474.89
452.45
302.09

494.22
413.40
374.87
468.94
448.72
292.95

311812,3
31182,3
3119
31191
31192,3,4,9

13.61
13.23
12,89
10.64
14.01

13.74
13.25
12.70
10.76
13.73

13.67
13.08
13.62
11.46
14.61

13.68
13.16
13.31
11.04
14.37

551.21
512.00
489,82
395.81
537.98

553.72
528.68
500.38
437.93
53135

534 JO
529.74
506.66
418.29
549.34

530.78
525.08
499.13
398.54
548.93

Beverages and tobacco products...........
Beverages
...............................
Soft drinks and ice.....
Soft drinks
Breweries, wineries, and distilleries..

312
3121
31211
312111
31212,3,4

19.57
19,16
15.29
16,11
24.54

19,51
19.01
15.16
16.10
24.39

18.94
18.38
14.75
14.98
23.75

19.20
18.72
14,96
15.29
24.59

$19.00

778.89
770.23
616.19
654.07
981.60

772.60
752.80
597.30
642.39
973.16

757.60
733.36
613.60
64114
893.00

78144 $742.90
760.03
640.29
684.99
922.13

Textile mills..
Fiber, yam, and thread mills.................
Fabric mitts...,.
Broadwoven fabric mHls.....................
Textile and fabric finishing mills...........
Broadwoven fabric finishing mills...

313
3131
3132
31321
3133
313311

12.22
11.47
12.70
12.55
12.06
12.14

12.07
11.36
12.50
12.28
11.96
12.09

12.26
11.45
12.63
12.65
12.43
12.48

12.30
11.54
12.74
12.81
12.36
12.44

12.35

483.91
464.54
50165
486.94
469.13
462.53

486.42
460.08
50125
485.06
484.38
469.09

494.08
500.37
496.36
506.00
486.01
49171

492.00
510.07
490.49
499.59
478,33
485.16

502 65

Textile ptodudt miffs..................
.....
Textile furnishings mills........................
Curtain and linen mills...............
Other textile product mills
Textile bag and canvas mills.............
AH other textile product mills.............

314
3141
31412
3149
31491
31499

11.30
11,27
10.22
11.35
11.10
11.52

11.27
11.16
9.97
11.44
1129
11.56

11.56
11.26
10.37
12.05
11.60
12.35

11.68
11.49
10.85
11.99
11.53
12.31

1152

433.92
440.66
38121
423.36
435,12
415.87

433.90
434,12
369.89
434.72
454.99
42194

457.78
466.16
428.28
445.85
433.84
453.25

452.02
46190
415.56
440.03
433.53
444.39

445.82

Apparel
Apparel knitting mHls.......
...........................
Hosiery and sock mills..,.,.................................
Sheer hosiery mills..,,,,....
Other hosiery and sock mlHs
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 products.............................
Footwear......*........................
leather and hide tanning and finishing and other
leather products..,

315
3151
31511
315111
315119
3152
31521
315211
315212
31522
31523
3159
316
3102

9,65 !
10.63
10.99 |
10.67 !)
11.16
9.47
8,87
9.67
8.62
9.53
10.58
9.55

9.54
10.31
10.70
10.58
10.76
9.41
8.77
9.48
8.56
9.45
10.72
9.27

10.05
10.90
11.38
11.26
11.45
9.91
9.56
10.03
9.41
9.70
10.76
9.76

10.07
10.84
11.31
10.87
11.55
9.92
9.42
9.77
9.30
9.95
10.74
10.08

10.09

347.40
394.37
418.72
390.52
434.12
339.03
31134
35102
299.98
344.99
39146
349.53

346.30
395.90
417.30
38194
436.86
335.94
302,57
341.28
29190
348.71
398.78
351.33

363.81
413.11
443.82
43126
452.28
352.80
328.86
369.10
317.1
347.26
423.94
386.50

36151
398.91
415.08
367,41
443.52
353.15
322.16
357.58
31155
352.23
427.45
379.01

355.17

11.64
11,28

11.48
11.12

11.48
11.59

1139
11.61

1130

459 78
433.15

440.83
419.22

431.66
44158

433.96
439.68

437.31

3161,9

11.95

11.79

11.38

1129

482.78

459.81

423.34

429.02

Paper and paper products...
Pulp, paper, and paperboard mills..........................
Pulp mills and paper mills.......
Paperboard mills...................................................
Converted paper products.............
Paperboard containers...,.,.,..,.,..,,.,..............
Corrugated and solid fiber boxes....
Folding paperboard boxes
................
Miscellaneous paperboard containers
Paper bags and coated and treated paper..........
Coated and laminated package materials and
paper.

322
3221
32211,2
32213
3222
32221
322211
322212
322213,4,5
32222

17.89
22.89
23.00
22.59
15.55
15.62
1570
16.50
14.17
16.36

17.93
22.99
23.14
22.60
15.54
15.53
15.63
16.50
13.79
18.35

17.93
23.29
22.99
24.07
15.56
15.33
15.51
16.37
13.17
16.28

17.90
22.98
22.79
23.49
15.59
15.39
15.72

322221,2

17.72

17.67

17.78

17.89

Nondurable goods-Continued
Frozen specialty food
.....
Fruit and vegetable canning and drying.......
Fruit and vegetable canning...............
Dried and dehydrated food....
Dairy products
Dairy products, except frozen.............................
Fluid milk
......................
Animal slaughtering and processing
Animal, except poultry, slaughtering..........
Meat processed from carcasses, and
rendering and meat byproduct processing ...
Poultry processing
Seafood product preparation and packaging.......
Bakeries and tortilla manufacturing
Bread and bakery products.............
Retail bakeries
.........................................
Commercial bakeries and frozen cakes and
other pastry products ......................................
Cookies, crackers, pasta, and tortillas....,..,
Other food products..
.....................................
Snack food..,,
................................
Miscellaneous food products............................

311412
31142
311421
311423
3115
31151
311511
3116
311611

See footnotes at end of table.




135

Apr.
2005 p

Average weekly earnings

13.00
16.36

May
2005 P 2004

May
2004

2(5)51

May
2005 P

$446.69 $449.62 $453.57 $450.86
534.61 566.60 533.71 533.30
516.85 546.87! 528.12 528.33
558.87 619,20 508,15 488.20
674.37 675.95 702.23 693.47
678,38 685.80 697.22 690.54
746.63 780.21 767.61 776.08
443.14 46155 430.16 438.53
456.27 489.60 430 36 441.54

17.92

747.80 758.44 745.89 75180
994.48 997.33
998.00 1,013.86
977.08 984,53
99130 1,020.47
998.92 1,037.42 1,035.91
1,016.55
637,55 644.91 64107 643.87
649.79 646.05 639.26 65100
668.82 653.33 648.32 660.24
684.75 730.95 738.29 734.27
542.71 522.64 488.61 526.50
665.85 67199 672.36 660.94
726.52

728.00

736,09

728.1

756.22

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
2002
NAICS
code

Industry

Nondurable goods-Continued
Miscellaneous coated and treated paper
and paper bags
Stationery products
Other converted paper products
Printing and related support activities
Commercial lithograph printing
Commercialflexographicprinting....
Commercial screen printing
Quick printing
....
Manifold business forms printing
,
Commercial gravure and misc. commercial
printing........
Support activities for printing
Petroleum and coal products
Petroleum refineries
Asphalt paving and roofing materials and other
petroleum and coal products
.
Chemicals
Basic chemicals
Other basic inorganic chemicals
Resin, rubber, and artificial fibers
Resin and synthetic rubber
Plastics material and resin
Agricultural chemicals
Pharmaceuticals and medicines
Pharmaceutical preparations
Miscellaneous medicinal and biological
products
Paints, coatings, and adhesives
Paints and coatings
Soaps, cleaning compounds, and toiletries....
Soaps and cleaning compounds
Polishes and other sanitation goods and
surface active agents
Toilet preparations
Other chemical products and preparations
Pfastics 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 f^pe and pipe fittings
Foam products
Plastics bottles and laminated plastics plate,
sheet and shapes
Other plastics products.....
Rubber products
Tires
Other rubber products
Rubber products for mechanical use
AH other rubber products

Durable goods..
Motor vehicles and parts
Motor vehicles
New motor vehicle parts
Furniture and furnishings
Home furnishings
Lumber and construction supplies
lumber and wood
Masonry materials
Roofing, siding, and other construction

materials.

May
2004

Mar.
2005

2004

May
2004

Mar.
2005

4,1
42
3.9
3.1
3.9
16
3.6
16

4.3
4,2
4.1
3.1
4.0
2.2
3.3
11

4.5
4.1
2.6
3.1
4,1
1.2
2.9
0.2

3.9
3.8
3.2
3.0
3.8
1.3
3.1
0.4

3.1
2.7
7.8

3.1
2.9
7.8

3.5
2.8
8.0

3.1
3.4
7.5

8.2
4.7
6,6
5.3
6.2
6.6
6.3
7.1
3.7
3.6

8.2
4.7
5.9
4.8
6.2
6.5
6.0
6.6
3.6
3.5

8.1
4.9
7.0
4.9
5.7
6.2
5.9
8.4
3.7
3.8

7.8
4.7
7.8
5.2
5,4
66
6.3
7.2
3.2
3.2

May
2005 P

40.9
40.5
42.0
38.3
38.4
38.3
39,0
35.1
37.8

41.2
42.2
38.7
38.5
39.4
38.2
36.6
35.2
38.6

39.9
41,3
38.9
38.0
38.8
37.5
37.5
35.3
39.3

39.8
39.0
43.4
44.4

39.2
39.1
44.7
45.6

38.6
39.6
44.6
45.6

37.5
38.7
451
45.5

32412,9
325
3251
32518
3252
32521
325211
3253
3254
325412

41.9
42.8
45.1
41.6
43.5
44.2
44.4
46.2
42.8
43.4

43.3
42.8
44.4
41.1
43.8
44.4
44.4
45.7
42.5
43.1

43.0
42.2
43.5
38.9
44.4
44.7
44.0
46.0
41.8
41.8

44.4
42.2
44,1
39,8
44.0
44.9
44.3
45.1
417
41.7

325411,3,4
3255
32551
3256
32561

40.7
42.5
42.6
39.2
39.0

40.5
43.7
43.6
39.8
38.7

41.9
40.8
41.8
40.0
39.0

41.9
40.3
41.4
40.0
38.8

4.2
5.2
5.7
2.3
2.0

4.0
6.2
6.4
2.7
2.0

3.5
4J
3.2
3.5
2.8

3.2
4.6
3.1
3.3
2.3

325612,3
32562
3259
326
3261
32611
326113
32612
326121
326122
32614,5

39.6
39.5
41.2
40.8
40.1
40.4
39.9
39.8
39.8
39.7
39.6

38.9
40.9
41.7
40.9
40.3
40.6
40.2
40.4
40.7
40.1
39.6

38.1
41.1
40.7
39.8
39.2
40.3
40.2
40.6
42.1
39.3
39.5

40.1
413
40.8
39.7
39.2
39.9
40.5
412
419
40.6
39.4

2.3
2.5
3.8
42
3.8
5.0
4.1
3.5
4.2
2.8
3.0

2.0
3.5
4.0
4.4
4.0
4.9
4.1
3,7
4.1
3.3
3.5

2.1
4.3
3.9
3.9
3.7
4.2
3.7
4,1
5.1
3.2
4.3

2.0
4.3
3.8
3.8
3.7
4.3
3.7
3.5
4,9
2.2
4.2

32613.6
32619
3262
32621
32629
326291
326299

42.7
39.7
43.5
45.9
41.7
43.8
38.3

414
38.3
417
42.9
40.2
41.1
38.8
32.3
33.3
37.7
38.1
36.2
33.4
37.9
36.9
34.8
39.5
40.0
35.9

5.3
3.8
5.5

5.2
3.2
4.5

5.4
3.2
4,4

5.1
5.3
4.7

4.7
4.8
4.5

3.7
3.4
4.1

3.7
3.8
36

42
423
4231
42311
42312
4232
42322
4233
42331
42332

41.3
38.4
41.7
43.6
39.8
40.4
38.8
32.1
33.2
37.5
38.1
36.6
34.6
37.8
37.8
36.1
39.4
39.3
36.4

4.9
3.6
5.5

32.1
33.3
37.8
38.3
38.0
34.9
39.8
36.8
34.8
39.2
39.1
38.2

42.7
39.9
43.2
45.4
41.4
42.9
38.9
32.6
33.7
38.2
39.0
38.0
35.7
39.2
36.4
33.9
39.8
39.4
39.1

42333,9

40.6

41.3

42.5

415

See footnotes at end of table.




May
2005P

40.2
40.2
40.1
38.2
38.2
37.3
38.3
35 0
38.8

Private service-providing
.

Apr.
2004

Average overtime hours

322223,4,5,6
32223
32229
323
32311
323112
323113
323114
323116
323111,5,7,8
9
32312
324
32411

Trade, transportation, and utilities.
Wholesale trade

Average weekly hours

136

37.9

45.8

42.0

39.9

32.6
33.6
38.0

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average
hours and earnings of production or nonsupervis try workers1 on private nonfarm payrolls by detailed
industry-1—Continued
Average hourly earnings
2002
NAICS
code

Industry

Apr.
2004

May
2004

Mar.
2005

20^^

Nondurable goods-Continued
Miscellaneous coated and treated paper
322223,4,5,8 $14.11
and oaoer baas.......... .........
15.57
Stationery products _ .... ........ ..................... 32223
14.24
Other converted paper products............................ 32229

$14.25
15.51
14.59

$13.94
16.15
14.99

$13.91
16.13
14.87

Average weekly earnings
May
2005 P

2004

May
2004

Mar.
2005

Apr.
2005 p

$567.22 $582.83 $574.33 $555.01
625.91 623.16 68153 666.17
571.02 612.78 580.11 578.44
$15.63

May
2005*

—

594.01
651.31
587.48
476.45
486.15
581.22

594.42
653.95
603.61
485.94
482.98
567.76

604.45
667.83
606.62
458.96
504.42
593.28

593.56 $592.38
650.29
592.50
—
470.25
—
502.32
—
61151

597.40
603.72

582.90
613.87

592.90
604.30

579.00
593.27

Printing and related support activities..-...................
Commercial lithograph printing..
Commercial flexographic printing...,
....
Commercial screen printing..........................
Quick printing
Manifold business forms printing....
Commercial gravure and misc. eommercta!
printing
,.
SuDoort activities for prsntlnQ . . . . . ....................

323
32311
323112
323113
323114
323116
323111.5,7,8
9
32312

15.55
17.05
15.75
12.44
13.89
14.98

15.52
17.03
15.76
12.46
13.76
15.02

15.70
16.95
15.88
12.54
14.33
15.37

15.62
16.76
15.80
12.54
14.23
15.56

15.01
15.48

114.87
H5.70

15.36
15.26

15.44
15.33

Petroleum and coal products
Petroleum refineries.., .
Asphalt paving and roofing materials and other
petroleum and coal products

324
32411

24.45
28.20

24.39
28.22

24.78
28.87

24.06
28.24

32412,9

18.39

18.53

17.97

17.62

18.96
22.79
23.95
18.09
19.46
20.09
18.40
20.87
21.34

19.00
22.91
23.95
18.00
119.48
2,0.14
18.38
3 93
21.34

19.47
23.59
24.45
18.65
20.70
21.63
20.10
20.98
21.41

19.62
24.06
25.07
18.65
20.76
21.64
20.48
21.19
21.66

19.12
16.05
16.73
14.19
13.83

19.35
16,29
16.94
114.49
113.96

19.52
16.32
16.27
15.43
15.02

19.50
16.45
16.47
15.37
15.09

13.62
14.55
17.13

13.65
15.01
17.09

14.81
15.84
17.12

15.07
15.64
16.99

14.58
13.80
16.51
16.34
13.55
14.74
12.43
13,30

14.54
13.77
16.34
16.22
13.43
14.55
12.38
13.24

14.70
13.89
16.12
15.94
14.16
15.38
13.00
13.97

14.73
13.93
16.38
16.09
14.00
15.11
12.99
13.97

15.02
13.07
17.14
21.41
13.78
13.74
13.85

15.10
13.09
17.12
21.41
13.83
13.85
13.79

15.20
13.07
17.42
21.74
13.87
13.96
13.73

15.12
13.11
17,42
21.73
14.00
14.04
13.92

15.19

15.23

15.59

15.62

15.64

487.60

496.50

500.44

504.53

14.57

14.58

14.86

14.94

14.92

485.18

491.35

493.35

497.50

50131

42

17.59

17.60

17.91

18.05

664.90

674.61

67163

680.49

423
4231
42311
42312
4232
42322
4233
42331
42332

18.23
16.22
17.25
16.04
14.85
15.69
15.95
15.84
16.59 !

18.29
16.01
16.99
15.94
15.00
15.98
15,96
16.76
16.94

18.59
16.02
16.84
15.68
14.90
15.51
16.56
16.07
18.05

18.83
16.31
16.86
16.18
14.97
15.65
16.65
16.05
18.39

18.06
-»

698.21
616.36
602,03
638.39
546.48
546.01
625.24
619.34
633.74

713.31
608.38
606.54
624.85
546.00
541.72
635.21
620.94
062 35

708.28
586.33
582.66
59270
563.22
559.91
652.46
63155
657.02

717.42
590.42
563.12
613.22
552.39
544 62
657.68
642.00
660.20

686.28
«.

42333,9

15.63

15.48

16.50

16.67

634.58

639.32

70125

69181

325
Chemicals . ...
3251
Basic chemicals......
32518
Other basic inoraanic chemicals
Resin rubber, and artificial fibers............................. 3252
32521
Resin and synthetic rubber
325211
Plastics material and resin..................
3253
Aaricuitural chemicals.............
3254
Pharmaceuticals and medicines.
325412
Pharmaceutical oreoarations
...
Miscellaneous medicinal and biological
325411,3,4
products..
3255
Paints coatinas andadhesives..
32551
Paints and coatings ~ .
3256
Soaps, cleaning compounds, and toiletries......
32561
&oaos and d&anina comoounds
Polishes and other sanitation goods and
surface active asents......................................... 325612,3
32532
Toilet preparations.......
Other chemical products and preparations.............. 3258
Plastics and rubber oroducts
Plastics products
Plastics packaging materials, film, and sheet..
Nonpackaging plastics film and sheet........
Plastics pipe, fittings, and profile shapes
Unlaminated plastics profile shapes..................
Plastics Dioe and pipe fittings
Foam products
Plastics bottles and laminated plastics plate,
sheet and shapes,..,...
Other elastics oroducfs
. .................................
Rubber oroducts
Tires
..
Other rubber products........
Rubber products for mechanical use................
All other rubber products
. . ...... ........

326
3261
32611
326113
32612
326121
326122
32614,5
32613,6
32619
3262
32621
3262S
326291
326299

Pdvale servlce-cirovlclifia
Trade transoortatfon a n d utilities

.

Vtaotesatetradt..........................................
Durable aoods...
Motor vehicles and carts
.......
Motor vehicles.
New motor vehicle Darts
Furniture and fumishinos..
Home furnishinas. t .„..
Lumber and construction suDDlles...
Lumber and wood......
Masonry materials
Roofing, siding, and other construction
materials
. ...

..

See footnotes at end of table.




137

""*

24.59

770.54
19.75

—

—
—
—
14.84
-

—
—
—

mm

mm

—

—

—

—

1,061.13 1,090.23 1,105.19 1,085.11 .126.22
1,252.08 1,283.83 1,316.47 1284.92
802.35

772.71

782.33

811.49 613.20 821.63 827.96
1,027.83 1,017.20 1,026.17 1,06105
996.32 984.35 951.11 997.79
786.92 788.40 828.06 820.60
860.13 864.91 925.29 932.12
892.00 894.22 951.72 958.65
850.08 839.97 924.60 923.65
893.24 889.53 876.96 883.62
926.16 919.75 894.94 903.22
778.18
682.13
712.70
556.25
539.37

783.68
711.87
738.58
576.70
540.25

817.89
665.86
680.09
617.20
585.78

817.05
662.94
68186
614.80
585.49

539.35
574.73
705.76

530.99
613.91
712.65

564.26
651.02
696.78

604.31
645.93
693.19

594.86
553.38
667.00
651.97
539.29
586.65
493.47
526.68

594.69
554.93
663.40
652.04
542.57
592.19
496.44
524.30

585.06
544.49
649.64
640 79
574.90
647.50
510.90
551.82

584.78
546.06
653.56
651.65
576.80
633.11
527.39
550.42

641.35
518.88
745.59
982.72
574.63
601.81
530.46

644.77
522.29
739.58
972.01
572.56
594.17
536.43

827.76
501.89
726.41
947.86
552.03
563.98
532.72

625.97
502.11
726.41
932,22
562.80
577.04
540.10

829.50
—
—
—
—

—
-

mm

592.12
—

—
—
—
—
—
509.86

mm

—

—

—

—

—

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfann payrolls by detailed
industry-—Continued
Average weekly hours
Industry

Wholesale trade-Continued
Commercial equipment
,
Office equipment
Computer and software
Medical equipment
Miscellaneous professional and commercial
equipment
Metals and minerals
,
Electric goods
Electrical equipment and wiring
Electric appliances and other electronic patts..
Hardware and plumbing
,
Hardware
Plumbing equipment
HVAC and refrigeration equipment
.
Machinery and supplies....
Construction equipment
Farm and garden equipment
Industrial machinery...
Industrial supplies
Service establishment equipment
Miscellaneous durable goods
:
Recyclable materials
Toy, hobby, and other durable goods.....
Nondurable goods
Paper and paper products
Printing and writing paper and office supplies
industrial paper
Druggists'goods
Apparel and piece goods
Grocery and related products
General line grocery
Fruits and vegetables
Farm product raw materials
Grains and field beans
Chemicals
Other chemicals
,

Petroleum
Alcoholic beverages
Beer and ale
Misc. nondurable goods.......
Farm supplies
Paint, painting supplies, and other nondurable
goods
Electronic markets and agents and brokers*
Business to business electronic markets
Wholesale trade agents and brokers
Retail trade
Motor vehicle and parts dealers
Automobile dealers
New car dealers
Used car dealers
Other motor vehicle dealers
Motorcycle, boat, and other vehicle dealers
Auto parts, accessories, and tire stores.....
Automotive parts and accessories stores
Tire dealers
Furniture and home furnishings stores..
Furniture stores
Home furnishings stores
Floor covering stores
Other home furnishings stores
Electronics and appliance stores
Appliance, TV, and other electronics stores
Household appliance stores
Radio, TV, and other electronics stores
Computer, software, camera, and photography
supply stores

2002
NAICS
code

Apr.
2004

May
2004

Mar
2005

Apr.
2005

4234
42342
42343
42345

37.8
37.7
37.1
38.3

39.4
39.3
39.2
39.6

38.0
38.7
36.9
38.4

37.8
37.2
37.7
38.2

42341,4,6,9
4235
4236
42361
42362,9
4237
42371
42372
42373,4
4238
42381
42382
42383
42384
42385
4239
42393
42392,9
424
4241
42411,2
42413
4242
4243
4244
42441
42448
4245
42451
4246
42469
4247
4248
42481
4249
42491

38.8
38.9
38.8
39,0
38.6
39.1
38.9
39.7
38.7
39.1
42.0
38.4
38.9
40.1
36.9
36.7
39.4
35.6

39.6
39.9
39.6
40.2
39.2
39.8
40.1
39.9
39.5
39.3
42.3
37.8
39.1
41.7
37.2
369
38.9
36.9

39.3
40.2
39.7
40.0
39.5
38.6
37.0
38.2
41.0
38.2
41.6
37.8
37.6
39.9
36.5
35.9
38.9
35.0

38.3
39.6
39.4
39.7
39.1
38.7
3IJ.3
37.7
40.3
38.6
41.9
38,7
38,2
38.7
36.3
36.2
39.3
35.7

37.5
34.3
30.7
39.2
35.6
37.6
38.6
37.8
39.6
37.0
42.9
39.6
40.2
34.0
38.2
38.1
37.6
40.2

37.6
34.2
31.3
38.1
35.2
38.0
38 6
37.8
40.5
36.0
41.7
40.5
41.2
34.7
38.7
38.6
37.8
40 2

366
33.1
27.8
40.3
35.1
36.3
38.0
37.3
41.1
35.1
41.6
40.6
40.9
34.3
37.0
37.2
35.9
38.3

36.9

42495,9
425
42511
42512
44,45
441
4411
44111
44112
4412
44122
4413
44131
44132
442
4421
4422
44221
44229




33.5

33.4

31.5

32.1

37.0
30.0
37.8

37.0
31.2
37,6

38.1
328
3« 6

30.4

30.8

30.3

30.4

35.7
35.7
35.5
37.6
35.3
35.1
35.8
34.9
37.6

36.1
35.9
35.7
38.1
35.6
35.5
36.7
35.8
38.5

35.7
35.8
35.7
36.6
34.0
33.8
35.9
34.7
38.3

35.7
35.6
35.6
36.1
35.0
34.9
36.1
35.0
38.3

30.5
31.0
29.9
34.9
27.1

30.6
31.2
29.9
35.1
27.0

30.3
31.4
29.0
34.5
25.9

30.S
31.5

443
44311
443111
443112

30.8
31.0
31.6
30.9

31.7
31.9
32.8
31.7

32.4
32.0
31.7
32.1

29.5
35.0
26.4
32.7
32.4
32.2
32.5

44312,3

30.1

31.0

33.2

33.3

138

May
2005

32.9
27.9
39.6
34.3
36.7
38.4
37.1
41.8
36.3
43.0
40.9
415
33.8
36.9
37.7
367
39,5

36.7
29.8
37.5

See footnotes at end of table.

Average overtime hours

30.7

Apr.
2004

May
2004

Mar.
2005

Apr.
2005P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervfsory workeins1 on private nonfarm payrolls by detailed
lodustry—-Continued
Average hourly earnings
Industry

2002
NAICS

Average weekly earnings

Apr.
2004

fc/iay
2004

Mar.
2005

2005

$22.74
18.40
27.53
21.77

$22.87
18.71
27.72
21.49

$23.09
19.30
28.50
21.05

$23.58
19.82
29.05
21.00

42341,4,6,9
4235
4236
42361
42362,9
4237
42371
42372
42373,4
4238
42381
42382
42383
42384
42385
4239
42393
42392 9

17.91
16.42
20.47
19.54
21.27
16.21
14.39
16.46
17.90
1774
18.16
14.21
19.45
16.64
16.35
14.46
13.24
16.82

17.74
16.32
21.18
19.61
22.46
16.25
14.21
17.34
16.96
18.37
19.04
14.26
19.84
17.65
17.25
14.48
13.41
16.39

18.28
16.43
21.36
19.82
22.61
16.30
14.50
17.47
16.73
18.67
19.52
14.53
20.06
17.93
17.86
14.57
13.54
16.61

694.91
638.74
794.24
762.06
821.02
633.81
559,77
653.46
692.73
693.63
762.72
545.66
756.61
667.26
603.32
530.68
521.66
598.79

710.53
650.37
819.32
795.56
840.84
64158
571.02
653.16
707.05
695.61
784.24
530.71
749.55
694,31
623.47
533.94
508.42
623.61

697.18
656.06
340.85
784.40
887.17
627.25
925.77
662.39
701.73
792.06
539.03
745.98
704.24
629.63
519.83
521.65
573.65

700.12
650.63
841.58
786.86
884.05
630.81
555.35
658.62
674.22
720.66
817.89
562.31
766.29
693.89
648.32
527.43
532.12
592.98

Nondurable goods
Paper and paper products..
Printing and writing paper and office supplies......
Industrial paper..,.
Druggists1 goods
Apparel and piece goods............................
Grocery and related products..
General line grocery...............
Fruits and vegetables.........
Farm product raw materials.......................
Grains and field beans.......................................
Chemicals
..................................................
Other chemicals..................................................
Petroleum,
Alcoholic beverages....................
Beer and ale
Misc. nondurable goods.....
Farm supplies.
Paint, painting supplies, and other nondurable
goods........
...................................................

424
4241
42411,2
42413
4242
4243
4244
42441
42448
4245
42451
4246
42469
4247
4248
424S1
4249
42491

15.79
16.99
16.13
17.91
18.99
15.90
15.19
17.02
13.88
12.87
12.92
19.18
19.53
14.37
17.89
16.67
13.73
13.69

111.17
16,30
2 69
19.79
21.45
13.12
14.24
13.37
17.90
17.70
18.54
14.04
19.17
18.65
18.76
' 14.47
13,07
16.90
15.90
17.12
16.20
18.02
19.22
18.02
15.34
17.22
13.73
13.07

16.02
17.69
17.03
18.31
18.53
17.03
15.43
17.05
14.16
13.09
13.04
18.98
19.56
14.03
18.02
16.88
13.88
13.98

16.05
18.03
17.43
18.59
18.62
17.09
15.38
17.10
13.74
12.85
12.66
18.97
19.52
14.17
18.38
17.43
13.92
14.05

592.13
582.76
495.19
702.07
676.04
597.84
586.33
643.36
549.65
476.19
554.27
759.53
785.11
488.58
683.40
635.13
516.25
550.34

597.84
585.50
509.88
686.56
676.54
608.76
592.12
650.92
558.07
470.52
547.94
767.88
796.40
499.68
702.02
665.08
517.86
551.54

586.33
585.54
473.43
737.89
650.40
618.19
586.34
635.97
581.98
459.46
542.46
770.59
800.00
481.23
666.74
627.94
498.29
535.43

592.25
593.19
486.30
736.16
638.67
627,20
590.59
634.41
574.33
466.46
544.38
775.87
810.08
478.95
678.22
657.11
510.86
554.98

42495,9

14.10

4.20

14.47

14.44

472.35

474.28

455.81

463.5:

Electronic markets and agents and brokers...
Business to business electronic markets..
Wholesale trade agents and brokers........

425
42511

20.22
15,67
20.63

20.17
15.66
20.57

20.33
17.13
20.61

20.38
17.18
20.65

742.07
466.97
773.63

746,29
469.80
777.55

752.21
534.46
774.94

776.48
563.50
797.09

12.07

12.06

12.35

12.42

366.93

371.45

374.21

377.57 $380.68

16.14
17.74
18.19
13.00
15.16
14.40
12.21
11.89
12.83

16.10
17.71
18.13
13.30
15.19
14.45
12.24
11.90
12.88

16.30
17.84
18.27
13.36
15.09
14.64
12.65
12.35
13.23

16.70
18.39
18.81
13.88
15.29
14.74
12.83
12.42
13.61

576.20
633.32
645.75
488.80
535.15
505.44
437.1
414.96
482.41

581.21
635.79
647.24
506.73
539.25
512.98
449.21
426.02
495.88

581.91
638.67
652.24
488.98
513.06
494.83
454.14
428.55
506.71

596.19
654.68
669.64
501.07
535.15
514.43
463.16
434.70
521.26

13.32
14.13
12.39
14.82
10.62

13.23
14.05
12.29
14.63
10.60

14.15
14.98
13.14
15.98
11.01

14.21
15.08
13.16
16.20
10.90

406.26
438.03
370.46
517.22
287.80

404.84
438.36
367.47
513.51
286.20

428.76
470.37
381.06
551.31
285.16

434.83
475.02
388.22
567.00
287.76

443
44311
443111
443112

17.03
15.99
13.84
16.5S

17.18
16.18
14.12
16.74

17.66
16.10
14.39
16.51

17.75
16.22
14.56
16.60

524.52
495.69
437.34
512.32

544.61
516.14
463.14
530.66

572.18
515.20
456.16
529.97

580.43
525.53
469.48
539.50

44312,3

19.50

19.62

21.17

21.23

586.95

608.22

702.84

706,96

Wholesale trade-Continued
Commercial equipment
....
Office equipment*.
...........
Computer and software........
...........
Medical equipment
Miscellaneous professional and commercial
equipment.,
Metals and rrtnerals...................................
Electric goods......
Electrical equipment and wiring
Electric appliances and other electronic parts.
Hardware and plumbing
Hardware
Plumbing equipment......
HVAC and refrigeration equipment............. .
Machinery and supplies.......................................
Construction equipment.......
Farm and garden equipment
Industrial machinery
industrial suppltot................................
.........
Service establishment equipment.....................
Miscellaneous durable goods...........................
Recyclable materials....
Toy, hobby, and other durable goods...............

Retail trade
Motor vehicle and parts dealers........ .....................
AulomobltocleaMMS...................................................
New car dealers...................
Used car dealers..............................................
Other motor vehicle dealers
Motorcycle, boat and other vehicle dealers........
Auto parts, accessories, and tire stores..........
Automotive parts and accessories stores............
Tire dealers....................
...............
furniture and home furnishings stores..
Furniture stores....................................
Home furnishings stores......................
Floor covering stores..
Other home furnishings stores...,.,...
Bectronics and appliance stores
Appliance, TV, and other electronics stores ...
Household appliance stores
Radio, TV, and other electronics stores....
Computer, software, camera, and photography
supply stores........................................

code

4234
42342
42343
42345

42512
44,45
441
4411
44111
44112
4412
44122
4413
44131
44132
442
4421
4422
44221
44229

T8.96
19.33
1)4.40
18.14
17.23
13.70
13.72

See footnotes at BM of table.




139

May
2005

Apr.
2004

May
2004

Mar.
2005

Apr.
2005P

May
2005 P

$859.57 $901.08 $877.42 $891.32
693.68 735.30 746.91 737.30
1,021.36 1,086.62 1,051.65 1,095.19
833.79 851.00 808.32 802.20

$12.40

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfanm payrolls by detailed
/—Continued
industry-—Continued

Industry

Retail trade-Continued
Building 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 stores
Nursery, garden, and farm supply stores

2002
NAICS
code

4441
44411

44412
44413
44419
4442
44421
44422
445
Food and beverage stores
4451
Grocery stores
44511
Supermarkets and other grocery stores
44512
Convenience stores
4452
Specialty food stores
44521,2
Meat markets and fish and seafood markets
44523
Fruit and vegetable markets
44529
Other specialty food stores
4453
Beer, wine, and liquor stores
446
Health and personal care stores
44611
Pharmacies and drug stores
44613
Optical goods stores
44619
Other health and personal care stores
446199
All other health and personal care stores
447
Gasoline stations
44711
Gasoline stations with convenience stores..,
44719
Other gasoline stations...
448
Clothing and clothing accessories stores
4481
Clothing stores.
44811
Men's clothing stores
44812
Women's clothing stores
44814
Family clothing stores
44815
Clothing accessories stores
44819
Other clothing stores
4482
Shoe stores
4483
Jewelry, luggage, and leather goods stores
451
Sporting goods, hobby, book, and music stores
4511
Sporting goods and musical instrument stores
45111
Sporting goods stores....
45112
Hobby, toy, and game stores
Sewing, needlework, and piece goods stores.... 45113
4512
Book, periodical and music stores
45121
Book stores and news dealers
45122
Prerecorded tape, CD, and record stores
452
General merchandise stores
4521
Department stores
452111
Department stores, except discount...
452112
Discount department stores
4529
Other general merchandise stores
45291
Warehouse clubs and supercenters
45299
All other general merchandise stores
453
Miscellaneous store retailers
4531
Florists
4532
Office supplies, stationery,, and gift stores
45321
Office supplies and stationery stores
45322
Gift, novelty, and souvenir stores
4533
Used merchandise stores.
4539
Other miscellaneous store retailers
45391
Pet and pet supplies stores
45399
All other miscellaneous store retailers...
454
Nonstore retailers
4541
Electronic shopping and mail-order houses
454113
Mail-order houses
4543
Direct selling establishments
45431
Fuel dealers
454311
Heating oil dealers

Average weekly hours

2(8)4
35.8
36.3
36.6
39.0
29.7
38.9
33.2
31.5
33.6
30.5
30.4
30.5
29.2
32.4
32.1
32.6
32.5
28.2
29.2
28.4
30.8
34.2
35.9
30.5
30.2
32.5
25.0
24.0
29.9
20.4
24.5
25.1
29.4
25.0
31.5
24.4
24.3
25.4
22.0
22.5
24.5
23.6
27.1
28.7
26.5
21.5
30.2
31.5
32.5
28.2
281
27.3
27.2
30.9
24.2
27.8
29.9
27.7
31.3
34.8
34.8
34.6
33.5
36.3
35.7

May
2004

Apr.
2005P

36.6
37.0
37,3
38.3
30.7
39.7
34.1
33.0
34.3
30.8
30.7
30.8
29.7
32.7
32.4
33.2
32.6
29.1
29.1
28.4
30.6
33.8
34.6
30.9
30.5
33.2
25.5
24.6
29.1
21.2
25.3
24.3
30.4
24.5
32.2
24.7
24.9
26.3
22.7
21.8
24.4
23.4
27.4
29.0
27.0
22.1
30.6
31.6
32.7
28.1
29.3
30.0
28.2
32.1
25.0
27.4
31.3
28.4
32.9

36.0
36.5
36.8
37.1
30.0
39.5
31.5
31.0
317
29.8
29.6
29.6
29.6
32.6
33.6
35.8
31.1
28.1
29.4
29.0
29.6
32.9
34,1
31.4
31.0
33 9
24.7
23.4
28.4
22.2
22.6
28.5
27,4
26.9
30.8
23.4
24.0
25.0
23.6
19.5
21.9
20.8
25.2
28.7
26.5
21.2
30.4
31.5
32.6
28.1
28.1
26.0
27.2
32.0
23.1
27.0
30.6
29.8
30.8

36.5
37.0
37.4
37.4
30.5
39.6
33.2
30.8
33.8
29.9
297
297
30.0
32.8
33.6
35.9
31.4
28.0
29.4
28.9
29.3
33.2
34.3
31.5
312
337
24.8
23.4
28.8
23.0
22.2
2S.8
27.6
27.2
31.3
23.4
24.0
25.2
22.9
18.5
22.2
21.5
24.2
287
26.6
21.2
30.4
31.5
327
27.7
28.3
27.0
27.5
32.0
237
26.5
30.6
29.3
30.9

34.7
34.9
34.3
33.1
35.9
35.4

34.9
33.6
33,0
357
377
367

34.4
32.9
32.2
35.6
37.3
36.5

See footnotes at end of table.




2005

140

Average overtime hours
May
2005

2uO4

May
2004

2005

Apr.
2005P

May
2005 *>

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—-Continued
2002
NAICS
code

Industry

Apr.
2005P

Apr.
2004

May
2004

Mar.
2005

$12.61
12.77
12.29
13.08
10.96
14.51
11.44
14.24
10.82

$12.63
1:2.81
112.36
13.21
10.85
14.56
11.41
14.25
10.80

$12.96
13.02
12.48
13.65
1108
14.89
12.33
14.90
11.63

$12.98
13.11
12.50
14.02
1124
15.08
1196
15.15
11.23

........................ 44512
4452
Specialty food stores .
. .............
44521,2
Meat markets and fish and seafood markets
44523
Fruit and veoetable markets
.
.
44529
Other soecialtv food stores ...
4453
Beer wine and liouor stores...

10.83
10.75
10.86
8.73
11.19
10.74
10.08
11.78
11.91

1(3.84
10.75
10 86
1171
11,16
10.61
10.17
M .78
12.07

10.87
10.81
10.92
8.83
1115
1114
9.85
1162
1153

10.88
10.82
10.93
8.85
1110
10.98
9.76
1165
1173

446
44611
44613
44619
446199

13.73
14.04
13.03
13.43
15.08

Ki.76
14.10
s: 26
13,51
UK24

14.02
14.38
13.54
14.30
15.94

13.94
14.24
13.64
14.43
16.16

Gasoline stations
• . ........................... 44?
44711
Gasoline stations with convenience stores.,
Other aasoline stations
..
........................... 44719

8.85
8.55
10.58

«.7B
a.45
KL51

8.89
8.58
10.66

riAthina and ckrthina accessories stores
Cloihina stores . ...... ..
Men's clothinq stores...........
...........................
SA/bmen's dothina stores
*
...............
Family clothing stores.............
Cfothina accessories stores
Other clothinq stores
. .....
She© stores..
Jewelry, luggage, and leather goods stores............

448
4481
44811
44812
44814
44815
44810
4482
4483

10.48
10.26
12.94
11.26
9.58
10.74
9.49
9.52
12.42

10.50
IC 20
1&09
10,91
1157
10.88
H48
9,39
12,-85

Sporting goods, hobby, book, and music stores........
Sporting goods and musical instrument stores.......
Soortina Goods stores ........
Hobbv tov and aame stores.........
Sewing, needlework, and piece goods stores......
Book oeriodical and music stores.........................
Book stores and news dealers
.. ..............

451
4511
45111
45112
45113
4512
45121
45122

10.46
10.89
1126
10.25
9,64
9.58
978
9.04
10.25
10.62
12.20
9.79
9.87
9.87
9.85

10,42
10.87
11,09
10.37

Retail trade-Continued
Building material and garden supply stores.
.
Buildina material and suoolies dealers ... ...........
Home centers
.........................
Paint and wallDaoer stores .... .................... ......
Hardware s t o r e s . . . . . ....... . ,
Other buildina material dealers .
. .......
Lawn and garden equipment and supplies stores...
Outdoor Dower eaiiioment stores

444
4441
44411
44412
44413
44419
4442
44421
44422

Nursery, garden, and farm supply stores,..
445
Food and beveraoe stores.
.....................
Grocery stores . „ ............................................... 4451
44511
Supermarkets and other grocery stores
Convenience stores

.

Health and personal care stores
Pharmacies and druo stores
... .... .............
ODtical aoods stores
..... ,
Other health and oersonal cars stores
AH other health and personal care stores

Prerecorded tape, CD, and record stores..
General merchandise stores. ...
Department stores
Department stores, except discount.....
Discount deoartment stores.
Other aeneral merchandise stores.....
Warehouse clubs and suoeroenters..........*..........
AH other aeneral merchandise stores

452
4521
452111
452112
4529
45291
45299

, . .................. 453
4531
Florists
4532
Office supplies, stationery, and gilt stores.......
Office suDDlies and stationery stores . .......... 45321
Aift naveltv and souvenir stores
........... 45322
4533
Used merchandise stores
Other miscellaneous store retaiters........................ 4539
Pet and oet suoolies stores.................................. 45391
AH other miscellaneous store retailers...... .......... 45399

Miscellaneous store retailers

Nonstore retailers
. .,,..,.........,..«...,......
Electronic shopping andi mail-order houses...........
Mail-order houses
...,..................
Direct setlina establishments
. .. ..................

Fuel dealers
Heatina oil dealers.,..,,..................—...............

454
4541
454113
4543
45431
454311

May
2005?

-

2004

May
2004

Mar.
2005

2005P

$45144 $462.26 $466.56 $473.77
463.55 473.97 475.23 485.07
449.81 46103 459.26 467,50
510.12 505.94 506.42 524.35
326.51 333.10 332.40 342.82
564.44 578.03 588.16 597.17
379.81 389.08 388.40 397.07
448.56 470.25 46190 466.62
363.55 370.44 368.67 379.57
330.32
326.80
33123
254.92
362.56
34475
328.61
382.85
335.86

333.87
330.03
334.49
258.69
364.93
34376
337.64
384.03
35124

323.93
319.98
323.23
26137
363.49
374,30
352.63
36138
323.99

325.31
32135
324.62
265.50
364.08
368.93
350.38
365.81
328.44

400.92
398.74
40132
459.31
54137

400.42
400.44
40576
456.64
527.30

412.19
417.02
40078
470.47
543.55

409.84
41154
399.65
479.08
554.29

8.85
8.55
10.64

269.93
258.21
343.85

270.68
25773
348.93

279.15
265.98
36137

27878
26676
358.57

1105
10.71
13.38
1184
979
1183
10.14
10.02
13.73

1112
10.76
13,57
11.94
9.73
1145
10.28
10.12
13.91

262.00
246.24
386.91
22970
23471
269.57
279.01
238.00
39123

26775
250.92
380.92
23129
242.12
264.38
288.19
230.06
413.77

272.94
250.61
379.99
262.85
22125
337.16
277.84
269,54
422.88

27578
25178
390.82
274.62
216.01
32976
28373
275.26
435.38

10.41
10.72
10.83
10.24
8.92
9.68
9.98
8 86

255.22
264.63
286.00
225.50
216.90
234.71
230 81
244.98

257.37
270.66
29167
235.40
209 50
230.82
22558
246 33

24476
258.24
273.50
243.08
174.53
21374
21174
21974

243.59
257.28
272.92
234.50
173.94
214.90
214.57
214.41

10.29
10.83
12.15
9.82
9.93
9,93
9.91

10.46
10.76
10.94
10.30
8.95
9.76
10.18
8.72
10.55
10.87
12.28
10.18
10.19
10.17
10.28

294.18
28143
262.30
295.66
310.91
32078
27777

298 41
287.01
26832
300 49
31379
32471
278.47

302.79
288.06
260.34
308.86
320.99
33154
288.87

30279
289.41
26182
308.56
320.67
332.23
283.93

10.91
9.63
11.38
13.02
9.65
8.33
1174
10.18
12.23

10.94
0.76
1123
12.77
9.60
8.40
11.94
10.24
12.56

1127
9.99
1170
13.11
10.00
9.04
1195
10,56
12.61

1129
9.87
1168
13.15
9.98
8.97
12.11
10.81
12.76

306.57
262.90
309.54
402.32
233.53
23157
35103
28199
382.80

320.54
292.80
316.69
409.92
240.00
230.16
37372
290.82
413.22

316.69
25974
318,24
419.52
23100
244.08
365.67
314.69
388.39

319.51
266.49
32120
420.80
236.53
237.71
370.57
31673
394.28

13.81
13.23
12.62
15.02
14.64
15.71

13.92
13.39
12,73
15.05
14.59
16.63

14.49
14.38
13.25
15.04
14.92
16.12

14.60
14.53
13.19
14.96
14.71
15.72

480.59
460.40
436.6
503.17
531.43
560.85

483.02
467.3
436.64
498.16
5237
553.30

50570
483.17
437.2
536.93
562.48
59160

502.24
478.04
42472
532.58
548.68
57378

aei
6.46
§164
1 99

See footnotes at end of table.




Average weekly earnings

Average hourly earnings

14!

10.55
10.88
12.35
10.15
10.18
10.16
10,25

—
—

—

—
—
mm

mm

—

—

-

. . .

—

-

—

:

—

-

—

—

May
2005 P

—
—
—
—
-

—
—
—
—
—
—
—
—
mm

-

- .

mm

—

-

—

—

mm

—

—

. . .

—

- *

—

—

—

m*

—

—

-

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED

B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry-—'Continued
Industry

2002
NAiCS
code

Average weekly hours

2<?04

May
2004

Mar.
2005

36.9
36.6

36.4
37.5

38.9

38.3

48,49

36.8

36.9

Truck transportation
General freight trucking
,
General freight trucking, local
General freight trucking, long-distance
Generaf freight trucking,tong-drstanceTL
General freight trucking, long-distance LTL
Specialized freight trucking
Used household and office goods moving
Other specialized trucking, local
.
Other specialized trucking, long-distance

484
4841
48411
48412
484t21
484122
4842
48421
48422
48423

40.6
40.9
41.4
40.7
40.3
41.7
39.7
32.5
42.1
41.8

41.4
41.5
41.7
41.5
41.2
42.1
41.1
34.5
44.2
41.6

40.8
41.0
41.2
40.9
40.4
42.1
40.5
34.2
44.3
39.1

41.2
41.4
41.8
41.2
41.1
41.5
40.9
34.9
44,8
39,0

Transit and ground passenger transportation
Urban transit systems
School and employee bus transportation
Other ground passenger transportation...

485
4851
4854
4859

31.4
37.4
27.2
31.5

33.7
38.7
31.4
31.9

32.8
39.0
30.5
31.0

45.7
24.4
37.4
36,8
35.1
36.3
30.0
36.4
41.3
36.0

45.7

32.6
39.6
30.4
29.9
44.7
24.6
36.7
36.0
34.7
35.8
32 6
32.9
39.6
36.3

Retail trade-Continued
Liquefied petroleum gas, bottled gas, and
other fuel dealers
...
Transportation and warehousing,.

454312,9

Average overtime hours
2004

37.2

45.8
24.5
36.5
35.6
34.2
36,2
31.7
31.4
40.3
35.8

Pipeline transportation

486

Scenic and sightseeing transportation

487

Support activities for transportation
Support activities for air transportation
Airport operations
Support 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
,

488
4881
48811
4883
48831
48832
4884
4885
4882.9

39.3

38.3

37.1

37.5

Couriers and messengers...
Couriers

492
4921

26.3
25.3

25.7
24.9

25.6
24.8

Warehousing and storage
General warehousing and storage
Refrigerated warehousing and storage
Miscellaneous warehousing and storage..

493
49311
49312
49313,9

36.8
36.9
35.1
37.3

27.0
26.0
37.3
37.3
36.2
38 3

36.6
36.2
37.3
39.4

38.1

22
2211
22111
221112
22112
221121
221122
2212
2213

41.0
40,6
40.5
42.0
40.9
41.3
40.8
43.2
38.6

41.3
40.9
40.5
42.6
41.5
41.2
41.6
43.1
39.2

40.1
40.2
40.3
42.0
40.1
41.4
39.8
40.4
39.0

41.0
41.0
40.7
42.3
41.3
42.2
41.1
41.4
39.9

41,1

35.9

36.1

36.6

34.9
34.3
33.8
33.0
38.4
36.2

36.3
35.7
35.1
34.5
34.6
39J
37,3

36.1

511
5111
51111
51112
51113
5112

35.4
35.0
33.9
357
38.1
36.2

35.3
35.0
33.9
35.7
37.7
36.2

Motion picture and sound recording industries..
Motion picture and video industries
Motion picture and video production
Motion picture and video exhibition

512
5121
51211
51213

30.2
30.0
36.9
20.2

29.5
29.3
36.8
19.0

20.9
30.0
37.9
19.5

29.9
30.0
38.6
1B.2

Broadcasting, except internet
Radio andtelevisionbroadcasting
Radiobroadcasting
Television broadcasting

515
5151
51511
51512

36.3
34.8
29.8
39.5

517
5171
5172

35.0
33.4
28.6
37.7
39.7
40.0
38.9

35.1
33.3
28.2
37.9

Telecommunications
Wired telecommunications carriers
Wireless telecommunications carriers..

35.3
33.6
28.3
38.5
39.3
39 6
404

utilities
Power 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 Internet
Newspaper, book, and directory publishers..
Newspaper publishers.,

Periodical publishers
Book publishers
Software publishers

23.5

37.8
37.0
36.2
36.5
30.6
36.5
41.7
37.1

39.4
39.1
41.8

See footnotes at end of table.




142

35.6
37.8
39.9

39.5
40.3
37.6

May
2004

Mar.
2005

Apr.
2005

May
2005*

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B~16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
Industry—-Continued
Average hourly earnings
2002
NAICS
code

Industry

Retail trade-Continued
Liquefied petroleum gas, bottled gas, and
other fuel dealers .........................................

2004

May
2004

Mar.
2005

Average weekly earnings
May
2005P

May
2004

Mar.
2005

Apr.
2005'

May
2005
feP

$13,47

$13,47

$13.58

$13.63

48,49

16.47

16.45

16.60

16.61

602.80

616.88

610.88

612.91 $616.78

Truck transportation.
General freight trucking.....
General freight trucking, local...
General freight trucking, long-distance...,
General freight trucking, long-distance TL...
General freight trucking, long-distance L T L .
Specialized freight trucking
Used household and office goods moving.......
Other specialized trucking, local..
..
Other specialized trucking, long-distance

484
4841
48411
48412
484121
484122
4842
48421
48422
48423

16.72
17.28
15.97
17.70
17.02
19,19
15.29
14,26
15.15
16.21

i'6.@3
17.25
16.01
17.64
16.86
19.34
15.13
14.30
15.05
15.90

16.61
17.10
16.24
17.37
16.40
19.51
15.34
15.01
15.30
15.65

16.62
17.14
16.22
17.42
16.55
19.42
15.31
15.06
15.38
15 35

678.83
706.75
661.16
720.39
685.91
800.22
607.01
463.45
637.82
677.58

688.48
715.88
667.62
732.06
694.63
814.21
621.84
493.35
665.21
661,44

677.69
70110
669.09
710.43
662.56
821.37
621.27
513.34
677.79
611.92

684.74
709.60
678.00
717.70
680.21
805.93
626.18
525.59
689.02
598.65

Transit and ground passenger transportation........
Urban transit systems.,.
..
School and employee bus transportation........
Other ground passenger transportation.............

485
4851
4854
4859

12.83
16.99
12.43
11.86

112.63
16.83
'12.29
111.81

12.92
17.67
12.47
11.72

12.86
17,34
12.46
11.78

402.86
635.43
338.10
373.59

425.63
651.32
385.91
376.74

421.19
699.73
379.09
350.43

421.81
676.26
380.03
365.18

Pipeline transportation...................

486

23.80

23.99

24,24

24.35

487

13.87

13.65

13.82

13.84

Support activities for transportation..
Support activities for air transportation.......
Airport operations
Support 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.................................................

488
48S1
48811
4883
48831
48832
4884
4885

17.70
15.68
13.95
26.41
35,56
27,05
15.49
16.86

17.66
15.62
13.72
26.50
35,07
27.72
15.42
'18.83

17.63
14.82
13.45
27.12
32.82
31,12
15.01
16.84

17.63
14.93
13.59
26.86
32.75
31.38
14.97
16.84

4882,9

14.07

113.79

14,08

14.09

552.95

528.16

522.37

528.38

Couriers and messengers..
Couriers,.,
.............

492
4921

15.30
16.00

15.44
H6.14

15.51
16,02

15.36
15.86

402.39
404.80

416.88
419.64

398.61
398.90

393.22
393.33

Warehousing and storage.......... .................
General warehousing and storage...
..
Refrigerated warehousing and storage.....
Miscellaneous warehousing and storage..

493
49311
49312
49313,9

14.94
14.84
15.90
15.16

1-5.04
1:4.88
10.16
15.69

14,99
15,08
14.99
14.19

14.91
15.01
14.94
14.01

549.79
547.60
558.09
565,47

560.99
555.02
584.99
600.93

548.63
545.90
559.13
559.09

538.25
534.36
56473
559.00

22
2211
22111
221112
22112
221121
221122
2212
2213

25,72
26.57
28.09
27.58
24,45
26.81
23,96
25,37
18.58

29.55
26.37
27.78
57.26
2-4.45
2B.92
23.94
25.37
13.39

26.34
27.34
28.43
27.89
25.85
27.77
25.43
26.25
17.37

26.51
27.41
28.43
27.96
26.04
27.98
25.62
26.74
17.62

26.46

1,054.52
1,078.74
1,137.65
1,158.36
1,000.01
1,107.25
977.57
1,095.98
717.19

1,055.22
1,078.53
1,125.09
1,161.28
1,014.68
1,109.10
995.90
1.093.45
720.89

1,056.23
1,099.07
1,145.73
1,171.38
1,036.59
1.149,68
1,012.11
1,060.50
677.43

21.99

762.16

776.82

782.65

454312,9

Transportation and warehousing..

.................

Scenic and sightseeing transportation,....,,.....

,

Utilities
Power 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..................

$497.04 $490.31 $528.26 $522.03
$16.58

1,087.66 1,096.34 1,083.53 1,115.23
338.43

320.78

339.97

339.08

861.98 667.55 647.02 643.50
577.02 577.94 533.52 531.51
489,65 496.66 466.72 464.78
958.68 967.25 970.90 945.47
1,066.80 1,073.14 1,069.93 1,038.18
984.62 1,011.78 1t023.85 985.33
639.74 643.01 594.40 603.29
606.96 624.39 611.29 602.87

1,086.91 1,087.51
1,123.81
1,157.10
1,182.71
1,075.45
1,180.76
1,052.98
1,107.04
703.04
791.31

21.23

21.40

21.68

21.92

Publishing industries, except Internet
Newspaper, book, and directory publishers.,
Newspaper publishers................
Periodical publishers................
Book publishers...
..................................
Software publishers..............................

511
5111
51111
51112
51113
5112

22.94
17.33
16.49
20.47
16.22
36.27

23.26
17.60
16.57
21.23
16.34
3S.57

23.84
18.35
17.13
22.20
16.64
36.91

24.14
18.48
17.19
22.12
16.91
37.64

Motion picture and sound recording industries...,.
Motion picture and video industries..,
Motion picture and video production
Motion picture and video exhibition

512
5121
51211
51213

20.36
20.49
26.15
7.14

20.45
2CI.59
2S.23
7.02

18.64
18,74
23.70
7,22

19.17
19.29
23.73
7.31

614.87
614.70
964.94
144.23

603.28
603.29
965.26
133.38

557.34
562.20
898.23
140.79

573.18
578.70
915.98
133.04

Broadcasting, except Internet
.......................
Radio and television broadcasting..........
Radiobroadcasting
Television broadcasting..........

515
5151
51511
51512
517
5171
5172

19.60
20.31
19.03
21.18

19.50
20.28
1S.93
21.22

20.56
21.42
20.05
22.36

21,01
21.99
20.49
22.99

691.88
682.42
538.55
815.43

707.85
705.7
564.11
838.19

719.60
715.43
573.43
842,97

737.45
732.27
577.82
871.32

21.18
23.04
18.66

21.20
23.16
13.17

21.68
23.30
19.58

21.87
23.54
19.59

832.37
912.38
753.86

835.28
905.56
759.51

860.70
932.00
761.66

863.87
948.66
736.58

Information.

Telecommunications...,
Wired telecommunications carriers.......
VWeless telecommunications carriers..
See footnotes at end of tibia.




143

800.61 830.38 843.94 852.14
594,42 617.76 842.25 646.80
557.36 571.67 580.71 582.7'
675.51 734.56 792.54 789.68
622.85 648.70 633.98 637.51
1,312.97 1,364.06 1,336.14 1,362.57

804.83

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued

Industry

2002
NAICS
code

Average weekly hours

2004

May
2004

Mar.
2005

2005

52
522
5221
52211
52212

40.9
38.3
37.8
37.5
37.8
37.4
24.4
35.3
36.3
35.7
35.5
35.5
35.4

42.5
38.7
38.4
37.9
37.8
37.9
24.9
36.1
37.3
36.9
36.5
36.7
36.2

39.1
39.9
39.4
36.6
37.9
36.1
25.1
35.6
36.5
36.1
35.7
35.9
35.3

37.7
395
39 5
36.8
38.2
36.2
25.7
35.7
36.7
36.3
36.0
36.2
35.1

52213,9
5222
52221
52222
52229
522291
522292

35.4
35.9
38.3
33.3
35.9
34.9
35.9

36.1
37.6
38.5
35.6
37.8
34.9
38.6

35.2
37.0
37.7
38.0
36.6
34.2
37.4

35.7
37.3
38.6
37.7
37.0
35.2
37,5

522293,4,8
5223
52231
52239
523
52312

37.0
36.1
37.3
36.4
36.9
39.0

37.7
36.9
38.3
37.9
37.8
38.7

36.1
36.1
37.6
35.3
36.3
38 3

36,6
35 8
36.8
35,6
36.4
38 3

38.2
34.8
36.5
33.2
36.9
36.0
38.0
37.9
38.1
38.0
38.0

38.8
36.1
38.7
33.5
37.5
38.2
38.6
38.8
38.4
37.8
37.8

37.6
34.3
36.5
31.2
36.9
38.1
37.7
37.6
37.9
38.5
38.9

37,5
347
36 9
31.8
37.1
38.3
37.9
37.9
38.0
38.8
39.1

37.9
36.5

37.9
37.4

36.7
38.1

37.2
38.3

35.2
34.6
36.8
37.7
37.1
36.1
37,8
32.4
32.5
32.5
33.8
31.0
30.8
32.1
326
32.3
32.2
32.7
32.1

36.3
35.7
37.9
39.2
38.5
38.2
38.8

35.0
34.3
37.1
37.8
37.1
37.7
38.4
33.1
33.0
32.7
33.8
32.0
31.0
32.6
33.5
33,1
32.6
34.3

35.1
34.6
36.8
37.3
37.0
38.0
38.2
33.1
33.0
32.5
33.1
32.7
30.8
33.1
33.7
33.3
32.8
34.4

33.1

33.0

Average overtime hours
May
2005 P

information-Continued
Cellular and other wireless carriers
Telecommunications resellers

Cable and other program distribution
ISPs, search portals, and data processing..
ISPs and web search portals
Data processing and related services
Other information services

517212
5173
5175
518
5181
5182
519

Financial activities?.
Finance and insurance
Credit intermediation and related activities
Depository credit intermediation
Commercial banking
Savings institutions
Credit unions and other depository credit
intermediation
Nondeposrtory credit intermediation
Credit card issuing
Sales financing
Other nondepository credit intermediationConsumer lending
Real estate credit
Miscellaneous nondeposttory credit
intermediation
Activities related to credit intermediation
Mortgage and nonmortgage loan brokers...
Other credit intermediation activities
Securities, commodity contracts, investments.......
Securities brokerage
Securities and commodity contracts brokerage
and exchanges.
Other financial investment activities
Portfolio management
Investment advice

5231,2
5239
52392
52393
524
Insurance carriers and related activities
5241
Insurance carriers
52411
Direct life and health insurance carriers.
524113
Direct life insurance carriers.
Direct health and medical insurance carriers.,.. 524114
52412
Direct insurers, except life and health
524126
Direct property and casualty insurers
Direct title insurance and other direct
insurance carriers
Reinsurance carriers.
Insurance agencies, brokerages, and related
services
Insurance agencies and brokerages
Other insurance-related activities

524127,8
52413

5242
52421
52429
524291
Claims adjusting
Third-party administration of insurance funds... 524292
525
Funds, trusts, and other financial vehicles
5259
Other investment pools and funds
53
Real estate and rental and teasing
531
5311
Lessors of real estate
53111
Lessors of residential buildings
53112
Lessors of nonresident buildings
53119
Lessors of other real estate property
5312
Offices of real estate agents and brokers...
5313
Activities related to real estate,
53131
Real estate property managers
531311
Residential property managers
531312
Nonresidents property managers
532
Rental and leasing services

33.1
33.3
33.0
34.3
31.1
31.0
33.1
338
33.5
33.5
33.6
32.5

See footnotes at end of table.




144

36.5

2004

May
2004

Mar,
2005

20051

May
2005 P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupendsory workers1 on private nonfarm payrolls by detailed
Industry— Continued
Average hourly earnings
2002
NAICS
code

Industry

information-Continued
Cellular and other wireless carriers....
Telecommunications resellers..................
Cable and other program distribution..,.,,.

517212
5173
6175

Apr.
2004

May
2004

Mar.
2005

$18.87
21.08
16.66

$18.39
21.61
16.73

$19.75
22.06
16.67

$19.79
22.30
16.73

20.54
22.05
19.89

20.59
22.08
19,95

Apr.
2005 P

ISPs, search portals, and data processing..
ISPs and web search portals..
Data processing and related services......

51S
5181
5182

20.08
21.51
19.47

,20.62
.22.13
19.97

Other information aervtoes............................

519

15.87

16.27

16.18

16.23

17.46

17.64

17.76

17.87

52

18.64

18.88

18.84

522
5221
52211
52212

15.63
13.84
13.52
15.44

5.94

52213,9
5222
52221
52222
52229
522291
522292

Average weekly earnings
May
2005P

2004

May
2004

Mar.
2005

2005*

May
2005 P

$771.78 $781.58 $772.23 $746.08
807.36 836,31 880.19 880.85
629,75 642.43 656.80 660.84
753.00
813.08
728,18

781.50
836.51
756.86

751.76
835.70
718.03

757.71
843.46
722.19

387.23

405.12

406.12

417.11

616.34

636.80

632.26

637.96 $654.81

18.97

676.63

704.22

687.66

696.20

113.96
'13.62
75.71

15.58
13.85
13.61
14.69

15.78
13.97
13.68
15.12

557.99
491.32
479.96
546.58

588.19
509,54
499.85
568.70

562,44
494.45
488.60
518.56

572.81
502.92
495.22
530.71

13.86
19.10
14.60
17.01
20.59
13.45
22.94

13.93
19.84
14.82
17.66
251.42
13.56
28.77

14.24
19.01
15.66
16.86
20.06
12.20
22.19

14.29
19.29
15.73
16.89
20.43
12.04
22.81

490.64
685.69
559.18
566.43
739.18
469.41
823.55

502.87
745.98
570.57
628.70
809.68
473,24
917.52

50125
703.37
590.38
640.68
734.20
417.24
829.91

510.15
719.52
607.18
636.75
755.91
423.81
855.38

522293,4,8
5223
52231
52239

18.38
16.89
19.12
15.67

1:9.09
16.97
1-9.12
15.94

19,06
16.05
18,50
13.79

19.17
16.44
19.25
13.96

680.06
609.73
713.18
570.39

719.69
626.19
732.30
604.13

688.07
579.41
695.60
486.79

70162
588.55
708.40
496.98

523
52312

24.67
22.73

24.94
22.65

26.09
24.73

26.21
24.89

910.32
886.47

942.73
876.56

947.07
947.18

954.04
953.29

5231,2
5239
52392
52393

25.05
23,97
25.79
21.84

25.28
24.36
26.39
22.23

27.11
24.29
26.05
22.94

27.31
24.28
28.50
22.27

956.91 980.86 1,019.34 1,024.13
834,16 879.40 833.15 842.52
941.34 1,021.29
950.83 977.85
725.09 744.71 715.73 708.19

Insurance carriers and related activities...,
Insurance carriers....,
Direct life and health insurance carriers.
Direct life insurance carriers.
Direct health and medical insurance carriers....
Direct insurers, except life and health
Direct property and casualty insurers...........
Direct title insurance and other direct
insurance carriers
..............
Reinsurance carriers,..,.. ..............................
insurance agencies, brokerages, and related
services.....
Insurance agencies and brokerages................
Other insurance-related activities.....................
Claims adjusting
..........................
Third-party administration of insurance funds...

524
5241
52411
524113
524114
52412
524126

20.32
21.10
19.90
20.17
19,62
22,49
22.62

20.49
21.24
19.83
20.42
19.20
22.93
23.19

20.53
21.50
20.49
20.67
20,31
22.72
23.07

20.61
21.58
20.60
21.00
20.19
22.76
23.08

749.81
801.80
756.20
764.44
747.52
854,62
859.56

768.38
811.37
76(5.44
792.30
737.28
866.75
876.58

757.56
819.15
772.47
777.19
769.75
874.72
897,42

764.63
326.51
780.74
795.90
767.22
883.09
902.43

524127,8
52413

21.83
21.32

21.61
20.81

20.94
18.82

21.16
19.28

827.36
778.18

819.02
778.29

768.50
717.04

787.15
738.42

5242
52421
S2429
524291
524292

18.90
18.73
19.36
20.83
18.59

19.17
19.04
19.51
20.86
18.74

18.79
18.48
19.64
20.99
18.62

18,88
18.54
19.82
21.16
18.97

665.28
648.06
712.45
785.29
689.69

695.87
679.73
739.43
817.71
72149

657.65
333.86
728,64
793.42
890.80

662.69
64148
729.38
789.27
70189

Funds, trusts, and other financial vehicles.............
Other investment pools an$ funds...............

525
5259

21.97
18.50

22.22
18.80

21.39
2144

21.11
22.07

793.12
699.30

848.80
72168

806,40
823.30

802.18
843.07

Flnanctal acttvllias?.
Finanoe and insurance..,...,........,..,
Credit intermediation m6 related activities.......
Depository credit intermediation.....
Commercial banking......... .......................
Savings institutions..........
Credit unions and other depository credit
intermediation...............................................
Mondepository credit intermediation
Credit carci issuing..
Sales
financing.,.,
..........................
Other nondepository credit intermediation..
Consumer lending......................
........
Miscellaneous nondepository credit
intermediation..........
Activities related to credit intermediation
Mortgage and nonmortgage loan brokers..
Other credit intermediation activities..........
Securities, commodity contracts, investments.......
Securities brokerage.....................
...............
Securities and commodity contracts brokerage
and exchanges
..............................................
Other financial investment activities....................
Portfolio management.........
Investment advice.....................................

Real estate and rental and leasing.............
Lessors of real estate.............................
Lessors of residential buildings................
Lessors of nonresidential buildings
Lessors of other real estate property..,,,,...
Offices of real estate agents and brokers...
Activities related to real estate.......
Real estate property managers..,
Residential property managers
Nonresidential property managers........
Rental and leasing services

53

13.73

13.77

14.50

14.55

444.85

455.79

479.95

48161

531
5311
53111
53112
53119
5312
5313
53131
531311
531312

14.03
12.79
12.54
14.30
10.37
14.18
15.56
15.52
13.99
19.20

14.10
12.95
12.82
14.18
10.54
K14
15.58
15.57
13.93
11144

14.73
13.70
13.44
15.22
11.12
14.85
15.94
15.92
14.61
18.84

14.76
13.66
13.25
15.54
11.31
15,09
15.87
15,82
14.57
18.64

455.98
415.68
423.85
443.30
319.40
455.18
507.26
501.30
450.48
627,84

469,53
427.35
439.73
441.00
326.74
468.03
526,60
52160
466,66
653.18

486.09
447.99
454.27
487.04
344.72
484.11
533.99
526.95
476.29
646.21

487.08
443.95
438.58
508.16
348.35
499.48
534,82
526.81
477.90
64122

532

12.88

13.84

13,91

413.45

417.95

458.10

459.03

See footnotes at en6 of table.




$17.94

145

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarnn payrolls by detailed
industry—Continued
Average weekly hours
Industry

Financial activities-Continued
Automotive 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..

2002
NAICS
code

Apr.
2004

May
2004

Mar.
2005

2005

54
5411
54111
54119
5412
541211
541213
541214
541219
5413
54131
54132
54133,4

32.4
32.3
28.0
23.2
33.9
37.2
39.9
34.1
35.6
35.2
35.1
36.8
35.5
37.5
34.6
35.3
33.4
38.3
38.0
36.2
38 5

33.0
32.9
2B.2
23.1
34.4
38.6
40.3
34.6
36.3
36.1
36.0
37.4
34.1
34.6
29.6
34.9
33.7
39.0
38.2
38.8
39.1

36.0
36.7
27.6
22.8
34.1
38.5
38.7
33.9
35.4
34 8
347
36.5
34.0
37,0
29.2
33.7
33.8
38.5
37.7
36.1
38.9

35.9
36.8
27.4
22.7
33.4
38.4
38.7
34,1
35.8
349
34.8
36.7
35.0
37.8
30.9
35.0
339
38.9
37.3
36.6
39.2

54135,6,7
54138
5414
54141
54143
5415
541511
541512
541519
5416
54161

38,1
38.7
34.9
32.5
35.2
37.4
37.9
36.7
37.2
34.8
34.7

39.6
39.5
35.8
33.5
36.1
38.7
39.0
38.7
37.9
35.4
35.3

37.3
38.8
35.0
32.5
35.7
37.4
37.4
37.4
36.6
34.6
34.3

38.5
39.9
34.6
32 6
35.5
37.6
37.6
37.6
37.5
35.0
34.5

541611
541612
541613
541614
541618
54162
54169
5417
54171
54172
5418
54181
54182
54186

34.0
35.4
34.3
36.7
35.1
36.7
32.9
37.1
37.8
32.2
33.4
34.8
34.7
36.5

34.4
36.7
35.4
37.0
35.0
36.6
34.6
38.0
38.7
32.6
34.5
36.2
34.4
37.6

33.9
32.3
33.4
37.7
36.2
36.2
36.5
37.3
37.9
32.2
33.5
34.7
34.5
36.6

34.0
32.3
34.1
38.5
35.9
37.1
37.0
37.6
3S.2
33.0
33.8
34.9
35.3
37.5

54187.9
5419
54191
54192
54194

26.8
28.1
27.0
27.3
27.4

28.7
28.5
27.8
27.0
28.0

28.1
26.0
27.3
27.5
27.2

27.9
28.3
27.3
27.3
27.6

54193,9
55

34.4
35.0

34.9
35.6

34.7
35,7

35,0
35.8

551111,2
551114

38.3
34.9
32.8
32.4
33.4
39.1
32.5
33.8

38.3
35.5
33.2
32.9
34.7
39.6
32.5
34.1

36.1
35.7
32.4
32,0
34.0
39.1
32.1
33.3

35.5
35.8
32.6
32.2
33.6
39.6
31.8
33.0

5321
53211
5322
53223
53221,2,9
5323
5324

Professional and business services
Professional and technical sendees
Legal services.
Offices of lawyers
Other legal services
,...
Accounting and bookkeeping services
Offices of certified public accountants.
Tax preparation services
Payroll services
,
Other accounting services
Architectural and engineering services...
Architectural services
Landscape architectural services
Engineering and drafting services
Building inspection, surveying, and mapping
services
Testing laboratories...,
Specialized design services
Interior design services
Graphic design services...
Computer systems design and related services
Custom computer programming services
Computer systems design services
Other computer-related services
Management and technical consulting services.....
Management consulting services
Administrative management consulting
services.
Human resource consulting services
Marketing consulting services
Process and logistics consulting services
Other management consulting services
Environmental consulting services.......
Other technical consulting services
Scientific research and development services
Physical, engineering, and biological research....
Social science and humanities research
Advertising and related services
Advertising agencies
Public relations agencies
Direct mail advertising
Advertising material distribution and other
advertising services
Other professional and technical services....,
Marketing research and public opinion polling
Photographic services..,
Veterinary services
Miscellaneous professional and technical
services
Management of companies and enterprises
Offices of bank holding companies and of
other holding companies
Managing offices
Administrative and waste services
Administrative and support services
Office administrative services
Facilities support services.
Employment services.
Employment placement agencies

561
5611
5612
5613
56131

See footnotes at end of table.




146

Average overtime hours

Ma
May
2005

34.5

May
2004

Mar,
2005

Apr,
2005P

May
2005P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisor, workers 1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings

Average hourly earnings
Industry

Financial activities-Continued
Automotive equipment rental and teasing.....
....
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,...,....

2002
NAICS
code

6321
53211
5322
53223
53221,2,9
5323
5324

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 servtoes........................
Other accounting services..................................
Architectural and engineering services
Architectural seivtoesw..........................................
Landscape architectural services................
Engineering and drafting services....
Building inspection, surveying, and mapping
services...
..........................................................
Testing laboratories................................................
Specialized design services.....................................
Interior design services...................................
Graphic design services..
Computer systems design and related services....
Custom computer programming services...
Computer systems design services
Other computer-related services....
Management and technical consulting services.....
Management consulting services
Administrative management consulting
services.,..
....................................................
Human resource consulting services................
Marketing consulting services.............
Process and logistics consulting services
Other management consulting services............
Environmental consulting services.
Other technical consulting services....
Scientific research and development services.. .
Physical, engineering, and biological research....
Social science and humanities research............
Advertising and related services..............................
Advertising agencies...........
Public relations agencies............
Direct mail advertising...................
Advertising material distribution and other
advertising services
......................
Other professional and technical services
Marketing research and public opinion polling....
Photographic services.............
.............
Veterinary services..............................
...........
Miscellaneous professional and technical
services.................... .............

Apr.
2004

$12.37
12.69
10.54
8.54
12.23
15.56
16.88

May
2004

Mar.
2005

$12.37
12.70
10.58

$13.52
13.56
12.41
11.86
12.90
14.88
16.47

$M
12.2:5
15.11
16.16

May
Apr.
2005 P 2005

Apr.
2004

May
2004

Mar.
2005

2005

$40079 $408.21 $48672 $48178
409.89 417.83 497.65 497.90
295.12 298.36 342.52 346.06
198.13 197.27 270.41 276.03
414.60 421.40 439.89 435.54
578.83 583.25 572.88 578.30
673.51 683.49 637.39 635.07

$13.42
13.53
12.63
12.16
13.04
15.06
16.41
$18.04

17.30

17.48

17.83

17.85

589.93

604.81

604.44

608.69 $622.38

22.76

23.43

23.54

2370

810.26

850.51

833.32

848.46

23.60
24.17
17.03
16,37
1971
10.03
16.24
15.55
23.82
23.00
17.06
25.51

23.65
24.22
17.19
16.50
20.01
10.35
15.55
15.49
24.00
23.36
1671
2572

796.93
81678
574.08
572.62
720.00
349.81
583.51
506.01
885.88
837.52
584.63
967,51

828.86
849.60
597.28
596.41
688.89
370.59
575.85
512.58
909.48
855.30
620.41
99079

821.28 825.39
83870 842.86
621.60 630.87
556.58 577.50
729.27 756.38
292.88 319.82
547,29 544.25
525.59 525.11
917.07 933.60
867.10 871.33
615.87 611.59
992.34 1,008.22

18.56
20.21
1975
17.51
20.11
31.36
33.16
30.52
29.35
23.91
2375

64275
725.24
637.62
525.53
67971
1,113.40
1,177.93
1,09072
1,022.63
810.84
813.02

675.58
748.92
666.60
540.02
708.64
1,171.45
1,240.59
1,157.90
1,070.68
833.67
836.96

714.56
774.84 806.38
683.90 683.35
563.88 570.83
720.43 713.91
1,155.66 179.14
1,217.00 1,246.82
1,129.11 1,147.55
1,063.60 1,100.63
825.21 836.85
814.63 819,38

810.56 839.02 814.96 814.98
888.89 917.87 826.23 81073
71275 723.22 68570 720.19
747.21 781.07 778.51 796.95
912.95 919.10 976.68 975,40
818.04 808.13 831,15 861.46
762.62 825.46 938.05 962.00
986.49 1,029.42 1,037.69 1,060.32
1,02173 1,066.96 1,069.92 1,094.05
729.01 744.58 775.38 797.94
611.89 644.31 641.53 645.24
760.38 819.21 791.85 778.97
733.56 740.83 778.67 812.61
526.33 544.45 529.97 553.13

5411
54111
54119
5412
541211
541213
541214
541210
5413
54131
54132
54133,4

22.64
23.27
15.60
16.13
19.20
10.11
16.53
15.15
23.13
22.04
16.15
25.13

54135,6,7
54138
5414
54141
54143
5415
541511
541512
541519
5416
54101

16.87
18.74
18.27
16.17
19.31
29.77
31.08
2972
27.49
23.30
23.43

17.08
1IUJ6
1R.U2
16.12
18.U3
30.127
$1.31

28.25
23.55
23.71

18.41
19.97
19.54
17.35
20.18
30.90
32.54
30.19
29.06
23.85
2375

541611
541612
541613
541614
541613
54162
54169
5417
54171
54172
5418
54181
54182
54186

23.84
25.11
20.78
20.36
26.01
22.29
23.18
26.59
27.03
22.64
18.32
21.85
21.14
14.42

24.39
25.01
20.43
21.11
26.26
22.08
23.72
27.09
27.57
22.84
18.69
22,63
21.53
14,48

24.04
25.58
20.53
20.65
26.98
22.96
2570
27.82
28.23
24.06
19.15
22.82
22.57
14.48

23.97
25.10
21.12
2070
27.17
23.22
26.00
28.20
28.64
24.18
19.09
22.32
23.02
1475

54187,9
5419
54191
54192
54194

12.68
15.68
21.64
12.91
13.52

12.99
1570
21.28
1274
13,51

13.58
15.48
20.31
13.21
13.35

13.81
15.51
19.84
13.59
13.38

339.82
440.61
584.28
352.44
370.45

372.81
447.45
591.58
343.98
378.28

381.60
433.44
554.46
363.28
333.1

23.60
15.07
17.4S
1WH

nm

ie.f»o
15.JS1
23.82
2S:.:»
16.I&9
25.34

385.30
438.93
541,63
371.01
369.29

18.10

18,97

18.44

18.91

622.64

662.05

639.87

661.85

Management of companies and enterprises...........

55

17.12

17.34

1770

17.89

599.20

617.30

631.89

640.46

Offices of bank holding companies and ©f
other holding companies
.................
Managing offices........................ ..............
Administrative and waste services......................

551111,2
551114
56

21.77
16.89
12.86

22.14
17.11
12.84

20.99
17.54
13.04

21.33
1772
13.03

83379
589.46
421.81

847.96
607.41
426.29

75774
626.18
422.50

757.22
634.38
42478

561
5611
5612
5613
56131

12.64
16.90
1879
12.95
14.77

12.62
1678
18.91
12.93
14,66

12.83
17.44
18.31
13.03
15.06

12.80
17.53
18.25
12.96
1478

409.54
564.46
734.69
420.88
499.23

415.20
582.27
748.84
420.23
49991

410.56
592.96
715.92
418.26
501.50

412.16
589.01
72270
412.13
487.7'

Administrative and support services....................
Office administrative services.......
Facilities support services..........
Employment services..........
Employment placement agencies...................
Sue footnotes at end of fable.




May
2005 P

147

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued

Industry

Professional and business
services-Continued
Temporary help services
Professional employer organizations
Business support services
Telephone call centers
Telephone answering services
Telemarketing bureaus..
Business service centers
Collection agencies
Other business support services
Travel arrangement and reservation services
Travel agencies
Other travel arrangement services
investigation and security services
Security and armored car services.....
Security guards and patrols and armored car
services
Security systems services
Services to buildings and dwellings
Exterminating and pest control services
Janitorial services
Landscaping services
Carpet and upholstery cleaning services
Other services to buildings and dwellings
Other support services...
Packaging and labeling services
Convention and trade show organizers
All other support services

2002
NAICS
code

56132
56133
5614
56142
561421
561422
56143
56144
56149
5615
56151
56159
5616
56161

561612,3
56162
5617
56171
56172
56173
56174
56179
5619
56191
56192
56199
562
Waste management and remediation services
5621
Waste collection
5622
Waste treatment and disposal
Nonhazardous waste treatment and disposal. 562212,3,9
5629
Remediation and other waste services
56291
Remediation services

Education and health services..
Health care and social assistance..
Healthcare
Ambulatory health care services
Offices of physicians,
Offices of physicians, except mental health...
Offices of mental health physicians
Offices of dentists
Offices of other health practitioners
Offices of chiropractors
Offices of optometrists
Offices of mental health practitioners
Offices of specialty therapists
Offices of all other health practitioners...
Outpatient care centers
Outpatient mental health centers
Outpatient care centers, except mental health..
Miscellaneous outpatient care centers
Medical 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
Hospitals
General medical and surgical hospitals.
Psychiatric and substance abuse hospitals..
Other hospitals
Nursing and residential caire facilities..
Nursing care facilities
Residential mental health facilities....

62
621,2,3
621
6211
621111
621112
6212
6213
62131
62132
62133
62134
62139
6214
62142
62149
621410,98
6215
621511
6216
6219
62191
62199
621991
622
6221
6222
6223
623
6231
6232

Average weekly hours




May

2004

May
2004

Mar.
2005

2fJ05P

31.7
34.8
30.9
28.2
32.7
27.5
35.3
35,1
32.1
33.9
33.5
34.3
34.1
33.8

31.7
34.9
312
28.6
33.8
27.9
35.0
35.5
32.0
34.4
34.2
34.8
34.4
34.1

31.2
34.4
30.6
28.3
34.3
27.4
34.0
34.3
31.2
32.6
33.2
32.0
33.8
33.6

31.0
34.0
30.9
28.4
33.9
27.5
33.8
34.7
31.4
32.4
33.6
30.8
34.1
33.8

33.7
36.1
31.4
37.5
27.5
36.2
29.9
36.3
32.1
33.9
32.2
31.5
41.9
42.5
42.5
43.4
40.6
38.8
32.2
32.4
32.8
31.1
33.1
33.2
30.4
26.8
28.3
25.0
30.4
30.6
29.0
26.9
33.8
31.4
35.0
35.4
34.8
35.6
28.8
34.7
35.3
33.7
35.8

34.1
37.1
32.8
40.8
27.9
38.3
31.7
37.0
33.0
34.5
31.1
33.1

33.7
36.4
31.9
36.5
27.9
37.3
31.3
32.3
33.8
35.3
28.1
34.6

41.7
42.6
42.4
43.6
39.9
37.9
32.5
32.8
33.2
31.6
33.7
33.7
31.2
27.5
26.8
25.2
31.0
31.4
29.3
27.9
34.5
32.7
35.3
35.9
34.8
35.3
28.9
35.0
35.2
34.7
36.5

33.4
35.8
30.4
35.1
27.7
34.6
29.9
32.5
33.3
36.3
27.2
33.9
42.0
42.8
41.6
43.1
41.2
39.9
32.4
32.7
33.1
31.2
33.1
33.2
30.2
27.1
28.0
25.1
30.3
28.9
28.0
28.7
34.4
31.7
35.8
35.6
35.7
36.2
28.5
35.4
35.5
35.2
36.8

42.4
43.5
41.8
43.2
41.5
38.6
32.4
32.7
33.1
31.4
33.4
33.5
30.7
26.9
28.1
25.4
30.1
29.8
27.7
29.3
34.4
31.9
35.6
35.0
35.7
36.2
28.9
35.9
36.4
35.1
36.4

34.9
35.0
36.4
32.5
32,3
32.0
33.8

35.1
35.2
36.3
32.7
32.8
32.4
34.4

35.7
35.8
36.0
33.4
32.1
31.8
33.3

35.5
35.6
36.2
33.5
32.1
31.9
33.5

See footnotes at end of table.

148

Average overtime hours

32.7

2004

May
2004

Mar.
2005

2005

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
8-16, Average houm and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
Industry

Professional and business
services-Continued
Temporary help services
Professional employer organizations
Business support services..
........
Telephone call centers
Telephone answering services
Telemarketing bureaus...
...........
Business service centers...............................
Collection agencies.
.................................
Other business support services
..................
Travel arrangement and reservation services
Travel agencies
...............................
Other travel arrangement services _ ,
....
Investigation and security services.........................
Security and armored car services ... ,
Security guards and patrols and armored car
services.
........................................
Security systems services
Services to buildings and dwellings...............
Exterminating and pest control services.............
Janitorial services..........
Landscaping services..
Carpet and upholstery cleaning services...........
Other services to buildings and dwellings...........
Other support services
....................................
Packaging and labeling services.
Convention and trade show organizers..............
All other support services....................................
Waste management and remediation services......
Waste collection
........................
Waste treatment and disposal.
Nonhazardous waste treatment and disposal...
Remediation and other waste services...............
Remediation services,,.,....................................

2002
NAICS
code

2004

May
2004

Mar.
2005

$12.10
14.95
12.46
10.72
12.46
10.41
13.15
13.30
15.09
13.81
15.64
1177
11.23
10.60

$12.09
14.92
12.41
10.58
12.46
10.25
13.13
13.48
15,14
13.95
15.44
12.21
11.13
10.51

$12.03
15.30
13.12
10.99
13,08
10.58
13.31
14.46
15.04
14,31
15.18
13.08
11.37
10.63

$11.91
15.47
13.32
11.26
12.98
10.92
13.26
14.55
15.27
14.33
15.46
12.69
1137
10.65

561612,3
56162
5617
56171
56172
56173
56174
56179
5619
56191
56192
56199

10.24
15.42
1103
15.64
9.40
1189
1194
13,92
13.98
10.63
20.52
13.41

10.11
15.19
11.17
15.74
9.47
11.95
11.84
13.83
14.04
10.54
21.48
13.17

10.16
16,09
11.18
16.50
9,61
12.23
11.93
13.75
13.87
11.79
16.74
13.61

10.20
15.84
11.31
16,46
9.61
12.22
11.89
14.00
13.85
11.93
18.16
13.63

345.09
556.66
346.34
586.50
258.50
430.42
357.01
505.30
448.76
360.36
660.74
422.42

344.75
563.55
366.38
642.19
264.21
457.69
375.33
511.71
463.32
363.63
668.03
435.93

339.34
576.02
339.87
579,15
266.20
423.16
356.71
446.88
461.87
427,98
509.73
461.38

343.74
576.58
360.79
600.79
268.12
455.81
372.16
452.20
468.13
42113
510.30
47160

562
5621
5622
562212,3,9
5629
56291

17.17
15.26
17,52
16.37
19.20
22.59

17.17
15.35
17.35
16.26
19.40
22,85

17.24
14.83
17.95
16.34
19.92
23.58

17.45
15.38
17,92
16.25
19.88
23.86

719.42
648.55
744.60
710.46
779.52
876.49

715.99
653.91
735.64
708,94
774.06
866.02

724.08
634.72
746.72
704.25
820.70
940.84

739.38
669.03
749.06
702.00
825.02
92100

56132
56133
5614
56142
561421
561422
56143
56144
56149
5615
56151
56159
5616
56161

Apr.
2005 P

Average weekly earnings
May
2005P

Apr,
2004

May
2004

Mar.
2005

2005 P

Ma
May
2005 P

$383.57 $383.25 $375.34 $369.21
520.26 520.71 526.32 525.98
385.01 387.19 401.47 41159
302.30 302.59 311.02 319.78
407.44 421.15 448.64 440.02
286.28 285.98 289.89 300.30
464.20 459.55 452.54 448.19
466.83 478.54 495.98 504.89
484.39 484.48 469.25 479.48
468.16 479.88 466.51 464.29
523.94 528.05 503.98 519.46
403.71 424,91 418.56 390.85
382.94 382.87 384.31 387.72
358.28 358.39 357.17 359.97

16,04

16.05

16.51

16.53

516.49

521.63

534.92

535.57 $541.19

62
621,2,3

16.33
17,19

16.32
17.18

16.89
17.80

16,90
17.83

529.09
563.83

535.30
570.38

552.30
589.18

552.63
590.17

Ambulatory health care services....................
.....
Offices of physicians,....
Offices of physicians, except mental health....
Offices of mental health physicians...
Offices of dentists
Offices of other health practitioners.
Offices of chiropractors..........
Offices of optometrists..................
Offices of mental health practitioners.
Offices of specialty therapists.............................
Offices of all other health practitioners..........
Outpatient care centers.....
Outpatient mental health centers.
Outpatient care centers, except mental health...
Miscellaneous outpatient care centers.............
Medical and diagnostic laboratories................
Medicaliaboratories.............................
Home health care services..........
........
Other ambulatory health care services...
Ambulance services.....
All other ambulatory health care services
..,..
Blood and organ banks.....................................

621
6211
621111
621112
6212
6213
62131
62132
62133
62134
62139
6214
62142
62149
621410,93
6215
621511
6216
6219
62191
62199
621991

17,32
18.32
18.36
16.12
18.87
15.87
12.67
12.98
16.17
18.14
17.57
18.51
15.69
19.76
19.53
17.89
17.26
14.24
14.05
12.78
16.13
15.06

17,35
18.32
18.36
16.11
18.91
15,92
12.83
13.04
16.13
18.13
17.74
18.51
15.52
19.84
19.57
18.00
17.41
14.29
14.03
12.68
16.19
15.10

17.71
18.70
18.75
16,33
19,16
16.52
13.04
13.59
16.97
19.09
17.58
18,78
16.23
19.89
19.02
18.31
17.36
14.54
14.91
13.64
16.82
15.10

17.74
18,81
18.86
16.41
19.20
16.48
12.99
13.55
16.72
19.06
17.63
18.88
16.20
20.05
18.96
18.53
17.45
14.32
14.94
13.37
17,31
15.55

538.65
606.39
609.55
490.05
505.72
449.12
316.75
394.59
494.80
526.06
472.63
625.64
492.67
691,60
691.36
622.57
614.46
410.11
487.54
451.13
543.58
539.15

548.26
617.38
618.73
502.63
520.03
458.50
323.32
404.24
506.48
531.21
494.95
638.60
507.50
700.35
702.56
626.40
614.57
412,98
491.05
446.34
561.79
551.15

552.55
618.97
622.50
493.17
519.24
462.56
327.30
411.78
490.43
534.52
504.55
646.03
514.49
712.06
677.11
653.67
628.43
414.39
527.81
484.22
592.06
555.68

557.04
628.25
63181
503.79
516.48
463.09
329.95
407.86
498.26
527.96
516.56
649.47
516.78
713.78
663.60
66152
63169
413.85
536.35
486.6:
607.58
566.02

Hospitals
General medical and surgical hospitals........
Psychiatric and substance abuse hospitals..
Other hospitals......,..,.,,.

622
6221
6222
6223

20.10
20.21
16.91
18,95

20.10
20,22
16.85
18.84

21.03
21.13
17.71
20.27

21.09
21.19
17.67
20.39

701.49
707.35
615.52
615.88

705.51
711.7'
611.66
616.07

750,77
756,45
637.56
677.02

748.70
754.36
639.65
683.07

Nursing and residential care facilities..
Nursing care facilities................
Residential mental health facilities....

623
6231
6232

12.03
12.73
1105

11.99
12.66
11.07

12.24
12.95
11.19

12.23
12.93
11.21

388,57
407.36
373.49

393.27
410.18
380.81

392.90
411.81
372.63

392.58
412.47
375.54

Education and health services
Health care and social assistance..
Healthcare.........................
......

See footnotes at end of table.




149

$16.55

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—-Continued
Average weekly hours

2002
NAICS

Industry

May
2004

Mar.
2005

Apr.
2005*

33.8
33.8
31.8
31.9
31.7
33.3
30.2
30.8
30.0
31.4
30.4
29.3
28.4

34.4
34.5
32,2
32.3
32.1
33.8
30,7
31.3
31.2
31,3
31.4
30.4
29,3

33.3
33.3
31.3
31.7
31.0
33.6
30.2
30.2
29.5
30.3
30.4
28.9
28.4

33.4
33.7
31.2
31.4
31.1
33.6
30.4
30.5
29.6
30.8
30.6
29.5
29.1

71
711
7111
71113

29.6
29.6
29.9
25.4
25.1
25.7
23,1
13.5

30.7
30.0
30.4
25.9
25.8
26.5
24.3
16.3

29.0
29.6
30.7
25.4
25.3
28.2
24.0
15.8

29.6
29.6
30.9
25.5
25.2
27.6
22.5
13.6

71111,2,9
7112
711212

28 8
26.4
28.8

28.3
25.8
28.3

28.6
30.6
27.4

28.1
293
27.2

7113,4
7115
712
71211

26.0
31.1
26.8
27.2

27.2
34.3
27.6
28.4

28.4
32.7
27.6
27.6

29.4
33.3
27.4
27.9

71213,9
713
7131
71311
7132
71321
71329
7139
71391
71392
71393
71394
71395
71399
72
721

29.2
24.8
24.5
23.7
34.6
37.4
27.0
23.5
27.6
21.3
32.9
20.2
23.9
24.9
25.4
29.6

28.8
25.5
27.5
27,2
35.0
37.3
28.7
24.0
27.9
27.0
31.5
20.8
23.6
23.4
25.9
30.3

30.1
24.3
28.1
27.6
35.0
37.5
28.3
22.2
26.8
22.5
32.8
18.4
23.7
27.2
25.4
29.5

29.3
24.4
24.2
23.3
34.9
37,0
293
23.0
27.9
21.7
30.7
18.8
232
26.9

7211
72111
72119
7212
721211
721214
722
7221
7222
722211
722212
722213
7223
72231
72232,3

29.6
28.7
25.8
30.6
29.1
32.7
24.6
25.1
24.3
24.4
26.8
22.8
23.9
24.7
21.7

30.3
29.6
26.3
31.5
30.0
33.7
25.1
25.5
24.7
24.8
26.9
23.5
25.1
25.7
23.6

29.5
28.9
24.7
28.6
28.3
29.3

29.9
29.2
24.7
26.8
26.0
28.3

24.6
25.0
24.3
24.4
26.9
22.7
25.0
25.7
23.0

24.8
25.1
24.5
24.6
27,1
23.0
25.1
25.8
23.3

code

Education and health services-Continued
Residential mental retardation facilities,.,..
Residential mental and substance abuse care..
Community care facilities for the elderly
Continuing care retirement communities
Homes for the elderly
Other residential care facilities

624
6241
62411
62412
62419
6242
62421

Social assistance.
Individual and family services
Child and youth services
Services for the elderly and disabled
Other individual and family services
Emergency and other relief services
Community food services.,
Community housing, emergency, and relief
services
Vocational rehabilitation services
Child day care services
Leisure and hospitality

62321
62322
6233
623311
623312

62422,3
6243
6244

,

Arts, entertainment, and recreation..
Performing arts and spectator sports
Performing arts companies
Musical groups and artists
Theater, dance, and other performing arts
companies
Spectator sports
Racetracks
Arts and sports promoters and agents and
managers for public figures
independent artists, writers, and performers.
Museums, historical sites, zoos, and parks

Museums

,

Zoos, botanical gardens, nature parks, and
similar institutions
Amusements, gambling, and recreation
Amusement parks and arcades
Amusement and theme parks..
Gambling industries
Casinos, except casino hotels
Other gambling industries
Other amusement and recreation industries
Golf courses and country clubs
Skiing facilities
...»
Marinas
Fitness and recreational sports centers.
Bowling centers
All other amusement and recreation industries...
Accommodations and food sendees?.
Accommodations
Traveler accommodations and other longer-term
accommodations
Hotels and motels, except casino hotels.....
Miscellaneous traveler accommodations
RV parks and recreational camps
RV parks and campgrounds.
Recreational and vacation camps
Food services and drinking places
Full-service restaurants
Limited-service eating places
Limited-service restaurants
Snack and nonalcoholic beverage bars..
Special food services
.»
Food service contractors
Caterers and mobile food services

See footnotes at end Of table.




150

25.6
29.8

Average overtime hours
May
2005P

261

Apr.
2004

May
2004

Mar.
2005

Apr.
2005p

May
2005 P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by detailed
industry—-Continued

industry

Education and health services-Continued
Residential mental retardation facilities......
Residential mental and substance abuse care...
Community care facilities for the elderly..
......
Continuing care retirement communities
Homes for the elderly.......................
Other residential care facilities...............................
Social assistance.
.,.
Individual and family services.....................
Child and youth services
Services for the elderly and disabled............
Other individual and family services..............
Emergency and other relief services.......
Community food services...
...........
Community housing, emergency, and relief
services .
..................
Vocational rehabilitation services....
Child day care services.

2002
NAICS
code

62321
62322
6233
623311
623312
6239
624
6241
62411
62412
62419
6242
62421

Average hourly earnings

Average weekly earnings

2004

May
2004

Mar.
2005

$10.66
11.93
10.86
11.72
10.05
12.31
10.99
12.00
13.71
10.69
13.03
12.S6
11.09

4110.70
11.91
10.83
11.70
10.01
12.35
11.05
12.09
13.67
10.78
13.12
12.66
11.16

$10.82
12.04
11.16
11.99
10.38
12.48
11.24
12.39
13.88
11.12
13.42
13.28
1153

$10.86
12.00
11.19
12.05
10.37
12.43
11.28
12.41
13.88
11.17
13.44
13.22
11.68

331.90
369.60
411.30
335.67
396.11
368.01
314.96

339.24
378.42
426.50
337.41
411.97
384.86
326.99

339.45
374.18
409.46
336.94
407.97
38379
327,45

342.91
378.51
410.85
344.04
411.26
389.99
339.89

13.06
10.79
9.76
8.86
11.93
16.96
18.34
21.38

1379
10.49
10.09
9.07
13.09

13.66
10.59
10.12

383.62
318.20
291.53

400.94
32370
29670

399.91
310.50
30976

404.34
313.46
31271

22479

229.47

230.38

231.54 $236.99

13.03

305.97

30779

331.18

328.36

1873
21.29
25.94

18.76
20.88
25.86

435.10
418.80
299.97

449.44
445.66
348.49

528,19
510.96
409.85

51778
469.80
35170

2(5)5

Ma}
2005 P

2004

May
2004

Mar.
2005

Apr.
2005 P

$360.31 $368.08 $360.31 $36272
403.23 410.90 400.93 404.40
349.31 349.13
345.35 34873
373.87 377.91 380.08 378.37
318.59 321.32 32178 322.51
409,92 417.43 419.33 417.65

Performing arts and spectator sports
..............
Performing arts companies................................
Musical groups and artists.............................
Theater; dance, and other performing arts
companies
.........................................
Spectator sports...
Racetracks
Arts and sports promoters and agents and
managers for public figures
Independent artists, writers, and performers...

711
7111
71113

12.96
10.75
9.75
8.85
12.19
16.93
18.13
22.22

71111,2,9
7112
711212

17.00
14.40
11,75

17.45
114.08
11.57

19.84
17.28
11.31

19.35
17.65
11.58

489.60
380.16
338.40

493,84
363.26
327.43

567.42
52877
309.89

54374
520.68
314.98

7113,4
7115

18.85
1771

468.52
612.36

489.87
68977

13.90
14.50

13,66
14.41

350.01
386.78

356.04
405.65

528.52
567.67
383.64
400.20

554,19
58974

712
71211

18.01
20.11
12,90
14.28

18.61
17.36

Museums, historical sites, zoos, and parks.
Museums
.................................
Zoos, botanical gardens, nature parks, and
similar institutions ...........................................

18.02
19.69
13.06
14.22

11.07
10.53
7.88
7.63
10.80
10.90
10.45
11.03
10.64
12.65
12.02
11.75
3J5
10.49
8.33
10.59

13.05

400.93

382.37

11.23
10.28
10.30
10.87
10.88
10.83
11.48
11.30
10.43
13.66
12.26
8.80
11.07

11,17
10,04
10.05
10.83
10.82
10.88
11.43
11.01
11.35
13.16
12.21
8.88
11.25

327,62
267.34
209.23
196.95
376.45
409.90

318.82

713
7131
71311
7132
71321
71329
7139
71391
71392
71393
71394
71395
71399

11.22
10.78
8.54
8.31
10.88
10.96
10.59
11.15
10.86
11.08
12.73
11.92
8.71
10.42
S.31
10.56
10.56
10.32
10.24
9.26
9.04
9.53
779
7.93
7.31
7.23
7,60
7.S6
10.18
10.28
9.S7

13.32

Amusements, gambling, and recreation......
Amusement parks and arcades...........
Amusement and theme parks........
Gambling industries.........
.............................
Casinos, except casino h o t e l s . . . . . . . . . . . . . . . . . . .
Other gambling industries..........................
Other amusement and recreation Industries ...........
Golf courses and country clubs.............................
Skiing facilities...
Marinas
Fitness and recreational sports centers...
Bowling centers,,....
.....................
Aii other amusement and recreation industries...

268.52
216,15
207.54
378.00
408.57
299.92
26472
296.86
341.55
378.63
244.40
20S.86
245.4;

272.89
288.87
284.28
380.45
408.00
306,49
254.86
302.84
234.68
448.05
225.58
208.56
301.10

272.55
242.97
234.17
377,97
400.34
31878
262.89
307.18
246.30
404.01
229.55
206.02
302.63

8.48

8.46

211.07

21S75

215.39

216.58

10.87

1077

312.58

320.88

320.67

320.95

10.63
10.35
10.17
9.08
8.74
9.55
7.80
7.91
7.33
7.25
7,58
7.95
19.23
10.21
10.29

10.87
10.62
10.21
10.71
9.93
12.14

1077
10.49
10.31
10.50
9.80
11.81

313.17
296.18
264.19
283,36
263.06
311.63

322.09
306.36
267.47
283.02
262.20
321.84

320.67
306.92
281.02
35570

322,02
306.31
254.66
281.40
254.80
334.22

7.93
8.07
7.41
7.33

7.93

191.63
199.04
177.63
176.41
203.68
181.26
243.30
253.92
214.18

19578
20171
181.05
179.80
203.90
186.83
256.77
262.40
242,84

195.08
20175
180.06
178.85
206.32
184.55
260.00
261.37
25576

196.66
202,56
18179
180,56
20975
186.07
26079
26187
258.40

62422,3
6243
6244

Leisure and hospitality....................
Arts, entertainment, and recreation.

71

71213,9

Accommodations and food services?............................. 72
Accommodations..........................................*.............. 721
Traveler accommodations and other longer-term
7211
accommodations.............
72111
Hotels and motels, except casino hotels......
72119
Miscellaneous traveler accommodations
RV parks and recreational camps.
...... 7212
721211
RV parks and campgrounds.............
Recreational and vacation camps............... 721214
Food services and drinking p l a c e s . . . . . . . . . . . .
Full-service restaurants..
Limited-service eating p l a c e s . . . . . . . . . . . . . .
Limited-service restaurants.
............
Cafeterias.
..............
Snack and nonalcoholic beverage bars.
Special food services..............
.....
Food service contractors..,.. ..................
Caterers and mobile food services.........

722
7221
7222
722211
722212

722213
7223
72231
72232,3

See footnotes at end of table.




151

7.67
8.13
10.40
10.17
11.12

9.08

8.07
7.42
7.34
774
8.09
10.39
10.15
11.09

May
2005 P

$9.08

285.93

262.03
29974
236.00
418.82
24078
208.1

259.46

252.19

306.3

374.28
402.04

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hours and earnings of production or nonsupervisoiy workers1 on private nonfarm payrolls by detailed
industry—Continued

Industry

Leisure and hospitality-Continued
Drinking places, alcoholic beverages..

2002
NAICS
code

May
2004

Mar.
2005

811
8111
81111
811111
811112

22.6
30.8
35.6
34.9
36.7
36.3
39.0

22.9
31.2
36.1
35.4
37.3
37.0
38.5

22.7
30.7
35.6
34.9
36.4
36.1
36.0

22.9
30.9
35.3
35.1
36.7
36.4
35.6

811118
81112
811121
811122
81119
811192

37.8
37.9
37.9
37.7
28.9
26.8

39.2
37.7
37.6
38.1
30.0
27,9

37.9
36.7
36.9
35.6
30.6
28.7

38.7
37.2
37.3
36.3
30.6
28.9

8111918
8112
811212

33.0
38.7
38.8

34.1
38.9
38.3

34.2
37.6
36.6

33.8
37.5
367

811211,3,9
8113
8114
812
8121
81211
812111,2
81219
8122
81221
81222
8123
81231

38.7
37.6
35.6
29.2
25.8
26.7
26.5
22.0
30.2
30.7
28.8
32.6
25.5

39.4
38.9
35.3
29.8
26.5
27.3
27.1
22.3
31.4
31.5
31.1
32.9
25.1

38.5
38.9
34.1
28.6
25.1
25.8
256
22.0
29.4
29.3
29.8
32.7
25.8

38.2
39.3
34.5
28.8
25.4
26.1
25.9
22.3
29 9
30.3
285
32.9
26.4

81232
81233
812331
812332
8129
81292
81293
813
8132
813211
813219
8133
813311

31.8
36.1
35.9
36.5
32.2
34.2
34.0
29.7
30.0
25.5
31.2
30.4
26.7

32.3
36.3
36.1
36.6
32.7
33.7
34.7
29.9
31.5
27,5
31,9
31.2
27,6

31.0
37.7
36.9
39.0
31.0
32.8
33.3
29.7
29.7
25.7
30.8
30.7
25.9

31.4
37.5
37.0
38.2
31.1
348
32.6
29.8
29.9
25.2
31.3
31.2
26.6

813312.9
8134
8139
81391
81392
81393

31.6
21.0
31.6
33.1
33.2
31.4

32.3
21.2
32,2
34.4
34.2
32.0

32.1
20.8
32.1
32.2
34.2
30.8

32.5
20.9
32.2
32.5
34.2
31.3

81394,9

30.3

30,4

32.2

31.9

7224

General automotive repair

Automotive exhaust system repair
Other automotive mechanical and elec.
repair.
.
Automotive body, interior, and glass repair
Automotive body and interior repair
Automotive glass replacement shops
Other automotive repair and maintenance
Car washes..
Auto oil change shops and all other auto
repair and maintenance
Electronic equipment repair and maintenance
Computer and office machine repair
Miscellaneous electronic equipment repair
and maintenance
Commercial machinery repair and maintenance
Household goods repair and maintenance
Personal and laundry services...,
Personal care services
....
Hair, nail, and skin care services?.....
Barbershops and beauty salons
Other personal care services..
Death care services
Funeral homes and funeral services
Cemeteries and crematories
Dry-cleaning and laundry services
Coin-operated laundries and dry cleaners.
Dry-cleaning and laundry services, except
coin-operated

Linen and uniform supply

Linen supply
Industrial launderers
Other personal services.....
Photofinishing
Parking lots and garages
Membership associations and organizations
Grantmaking and giving services
Grantmaking foundations
Other grantmaking and giving services
Social advocacy organizations
Human rights organizations
Environment, conservation, and other social
advocacy organizations
Civic and social organizations
Professional and similar organizations......
Business associations
Professional organizations
Labor unions and similar labor organizations....
Miscellaneous professional and similar
organizations
See footnotes at end of table.




152

Average overtime hours
May
Ma

Apr.
2004

Other services
Repair and maintenance
Automotive repair and maintenance
Automotive mechanical and electrical repair......

Average weekly hours

2005'

31.1

Apr.
2004

May
2004

Mar.
2005

Apr.
2005P

May
2005 P

ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-16, Average hours and earnings of production or nonsupes visory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
Industry

Leisure and hospitality-Continued
Drinking places, alcoholic beverages..

2002
NAfCS
code

7224

2004

May
2004

Mar.
2005

Apr.
2005

$7.70

$7.77

$7.85

$7.87

13.97

14.00

14.18

14.17

Average weekly earnings
Apr.
May
2005 P 2004

May
2004

Mar.
2005

2005 p

May
2005 P

$174.02 $177.93 $178.20 $180.22
430.28

436.80

435.33

437.85 $443,18

Repair and maintenance...
..........................
Automotive repair and maintenance..............
Automotive mechanical and electrical repair....
General automotive repair.
Automotive exhaust system repair.................
Other automotive mechanical and eiec
repair.
,
Automotive body, interior, and glass repair
Automotive body and interior repair...
Automotive glass replacement shops.....
Other automotive repair and maintenance.......
Car washes......
Auto oil change shops and all other auto
repair and maintenance
..................
Electronic equipment repair and maintenance....
Computer and office machine repair
Miscellaneous electronic equipment repair
and maintenance
Commercial machinery repair and maintenance.....
Household goods repair and maintenance........

S11
8111
81111
811111
811112

14.30
13.62
14.62
14.88
12.89

14.33
13.59
14.66
14.99
12.40

14.62
13.87
15.02
15.25
13.15

14.64
13.95
14.98
15.21
13.40

509.08
475.34
536,55
540.14
502.71

517.31
481.09
546.82
554.63
477.40

520.47
484.06
546.73
550.53
473.40

524.11
489.65
549.77
553.64
477.04

811118
81112
811121
811122
81119
811192

13.27
15.54
15.79
13.88
9.06
8.52

13.25
15.53
15.83
13.60
9.05
8.47

13.60
16.04
16.25
14.42
9.14
8.68

13.38
16.24
16.47
14.58
9.28
8.65

501.61
588.97
598.44
523.28
261.83
228.34

519.40
585.48
595.21
518.16
271.50
236.31

515.44
588.67
599.63
513.35
279.68
249.12

517.81
604.13
614.33
529.25
283.97
249.99

8111918
8112
811212

9.89
16.34
14.85

9.96
16.51
15.09

9.86
16.31
14.60

10.28
16.28
14.51

326.37
632.36
576.18

339.64
642.24
S77.95

337.21
613.26
534.36

347.46
610.50
532,52

811211,3,3
8113
8114

17.64
16.57
14.34

17,68
16.60
14.86

17.92
17.13
15,13

17.96
16.87
15.15

682.67
623.03
510.50

695.80
645,74
524.56

689.92
666.36
515.93

686.07
662.99
522.68

Personal and laundry services................................
Personal care services
Hair, nail, and skin care services?....,...
Barber shops and beauty salons...................
Other personal care services...........................
Death care services
Funeral homes and funeral services................
Cemeteries and crematories.,...........................
Dry-cleaning and laundry services...............
Coin-operated laundries and dry cleaners.......
Dry-cleaning and laundry services, except
coin-operated.......
........................................
Linen and uniform supply.................................
Linen supply.............
.................................
Industrial tsundem..................................
Other personal services....................................
Photofinishing....
Parking lots and garages...............................

812
8121
81211
812111,2
81219
8122
81221
81222
8123
81231

11.73
12.16
12.45
12.67
10.55
15.04
15.63
13.07
10.01
9.88

11,77
12.28
12.56
12.77
10.64
14.97
15.79
12.62
9.96
9.49

11.73
12.31
12.42
12.62
11.75
15.23
15.60
13.79
10.16
9.33

11.76
12.36
12,52
12.73
11.53
15.38
15.89
13,64
10.08
9.21

342.52
313.73
332.42
335.76
232.10
454.21
479.84
376.42
326.33
251,94

350.75
325.42
342.89
346.07
237.27
470.06
497.39
392.48
327.68
238.20

335.48
308.98
320.44
323.07
258.50
447,76
457.08
410.94
332.23
240.71

338.69
313.94
326.77
329.71
257.12
459.86
481.47
388.74
331.63
243.14

81232
81233
812331
812332
8129
81292
81293

9.04
11.36
11.37
11.35
11.86
13.62
10.41

9.01
11.38
11.32
1147
11.89
13.78
10.47

9.14
11.52
11.29
11.86
11.32
13.17
9.98

287.47
410.10
408.18
414.28
381.89
465.80
353.94

291.02
413.09
408.65
419.80
338.80
464.39
363.31

282.10
441.47
425.46
466.83
349.68
444.11
324.01

287.00
432.00
417.73
453.05
352,05
458.32
325.35

Membership associations and organizations..........
Grantmaking and giving services
Grantmaking foundations
Other grantmaking and giving services........
Soda! advocacy organizations
Human rights organizations................
Environment, conservation, and other soda!
advocacy organizations
....
Civic and social organizations..,..
Professional and similar organizations................
Business assodatlons
Professional organizations......
Labor unions and similar labor organizations......
Miscellaneous professional and similar
organizations................................... .............

§13
8132
813211
813219
8133
813311

14.80
18.07
19.86
15.71
13.73
13.93

14.84
18.25
19.92
15.97
13.86
14.15

9.10
11.71
11,53
11.97
11.28
13.54
9.73
15.00
18.63
20.80
16.53
13.61
14.04

14.99
18.56
20.97
16.64
13.62
14.18

439.56
542.10
506.18
490.15
417.39
371.93

443.72
574.88
547.80
509.44
432.43
390.54

445.50
653.31
534.56
509.1
417.83
363.64

446.70
554.94
528.44
520.83
424.94
376.66

813312,9
8134
8139
81391
81392
81393

13.68
10.94
17.70
17.72
20.55
24.49

13.78
11.00
17.73
17.89
20.72
24.67

13.51
11.35
18.40
19.70
21.47
24.78

13.49
11.35
18.33
19.63
21.47
24.59

432.29
229.74
559.32
586.53
682.26
768.99

445.09
233.20
570.91
615.42
708.62
789,44

433.67
236.08
590.64
634.34
734.27
763.22

438.43
237.22
590.23
637.98
734.27
769,67

81394,9

11.90

11.65

12,07

12.11

360.57

354.16

388.65

386.3

Other services

p

1
Data relate to production workers in natural resources and mining and
manufacturing, construction workers in construction, and nonsupervisory
workers in the service-providing industries.
2
Excludes nonoffice commissioned real estate sales agents.
3 Wage and salary payments; tips excluded.
~ Data not available.




$14.25

» 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, all unadjusted data from April 2004 forward
are subject to revision.

153

ESTABLISHMENT DATA
EARNINGS
NOT SEASONALLY ADJUSTED
B-17. Average hourly earnings, excluding overtime1 of production workers on manufacturing payrolls
Apr.
2004

May
2004

Mar.
2005

$15.23

$15.19

$15.58

$15.61

$15.65

Durable goods
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products ....
Electrical equipment and appliances
Transportation equipment
Furniture and related products
Miscellaneous manufacturing

15.84
12.33
15.12
17.21
14.45
15.71
16.31
14.14
20.08
12.48
13.18

15.79
12.30
15.07
17.17
14.40
15.63
16.40
14.13
19.93
12.45
13,22

16.28
12.53
15.24
17.54
14.83
16.05
17.26
14.48
20.55
12.86
13.45

16.34
12.51
15.54
17.57
14.87
16.04
17.50
14.50
20.56
12.99
13.46

16.33

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

14.26
12.34
18.46
11.58
10.96
9.38
11.22
16.82
14.94
22.43
17.97
13.87

14.21
12.26
18.35
11.43
10.92
9.28
11.09
16.84
14.92
22.43
18.01
13.80

14.43
12.33
17.83
11.71
10.96
9.77
11.27
16.89
15.09
22.74
18.40
14.01

14,46
12.30
17J8
11.74
1109
9.81
11.11
16.86
15.03
22.21
18.58
14.06

industry

Manufacturing

1
Derived by asssuming that overtime hours are paid at the rate of
time and one-half.
2
Data not available.
p
= preliminary.




Apr
2005p

May
2005p

<2J
(2)
2
$14.50
<*)
!

NOTE: Data are currently projected from March 2004 benchmark levels.
When more recent benchmark data are introduced with the release of
January 2006 estimates, alt unadjusted data from April 2004 forward are
subject to revision

154

ESTABLISHMENT DATA
EARNINGS
NOT SEASONALLY ADJUSTED
B-18. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major
industry sector and selected industry detail, In current and constant (1982) dollars
Average weekly earnings

Average hourly earnings
Industry

Apr.
2004

May
2004

Mar.
2005

Apr
2005 p

May
2005 p

Apr.
2004

May
2004

Mar.
2005

$15.59
8.23

$15.63
8.20

$15.95
8.20

$16.01
8.16

$16.03

$522.27
275.75

$53142
278.61

$534.33
274.58

17.08
9.02

17.10
8.97

17.37
8.93

17.48
8.90

17.50

678.08
358.01

689.13
36156

689.59
354.36

697.45
355.30

700.00

Matura! resources and mining;
Current dollars.................................
Constant (1982) dollars..................

18.07
9.54

18.00
9.44

18.36

18.67
9.51

18.61

793.27
418.83

797.40
418.36

826.20
424.56

845.75
430.85

857.92

9,43

Construction:
Current dollars
.......................
Constant (1982) dollars..................

19.15
10.11

19.15
10.05

19.25
9.8.9

19.35
9.86

19.32

721.96
38118

74111
388.83

727.65
373.92

750.78
382.47

75155

Manufacturing;
Current dollars
................
Constant (1982) dollars

16.06
8.48

16.04
8.42

16.41
8.43

16.45
8.38

16.48

652.04
344.27

659.24
345.88

662.96
340.68

66129
336.88

665.79

Private service-providing:
Current dollars.................................
Constant (1982) dollars.................

15.19
8.02

15.23

15.59
8,01

15.62
7.96

15.64
(2)

487.60
257,44

496.50
260.49

500.44
257.16

504.53
257.02

509.86

7.99

Trade, transportation, and utilities:
Current dollars .................................
Constant (1982) dollars.................

14.57
7.69

14.58
7,65

14.86
7.64

14.94
7.61

14.92

485.18
256.17

49135
257.79

493.35
253.52

497.50
253.44

50131

Wholesale trade:
Current dollars
Constant (1982) dollars ..................

17.59
9.29

17.66
9.27

17.91
9.20

18.05
9.20

18.06

664.90
35106

674.61
353.94

67163
345.13

680.49
346.66

686.28

Retail trade:
Current dollars..................................
Constant (1982) dollars..................

12.07

12.06
6.33

12.315

366.93
193.73

37145
194.88

374.21
192.30

377.57
192.34

380.68

6.35

12.42
6.33

12.40

6.37

Transportation and warehousing:
Current dollars.........................
Constant (1982) dollars..................

16.47
8.70

16.45
8.63

16.80
8J3

16.61
8.46

16.58

602.30
318.27

616.88
323.65

610.88
313.92

612.91
312.23

616.78

Utilities:
Current dollars.................................
Constant (1982) dollars ..................

25.72
13.58

25.55
13.41

26.34
13.54

26.51
13.50

26.46

1054,52
586.77

1055.22
553.63

1,056.23
542.77

informations
Current dollars
Constant (1982) dollars

21.23
11.21

21.40
11.23

2168
11.14

21.92
11.17

2199

762.16
402.41

776.82
407.57

782.65
402.18

79131
403.11

804.83

financial activities:
Current dollars ................................
Constant (1982) dollars

17.46
9.22

17.64

17.87
9.10

17.94

616.34
325.42

636.80
334.10

632.26
324.90

637.96
324.99

654.81

9.25

17.70
9.13

Professional and business services:
Current dollars
Constant (1982) dollars.....................

17.30
9.13

17.48
9.17

17.63
9.16

17.85
9.09

18.04

589.93
31147

604.81
317.32

604.44
310.61

608.69
310.08

622.38

Education and health services:
Current dollars ..........................
Constant (1982) dollars..........

16.04
8.47

16.05
8.42

16.61
8.48

16.53
8.42

16.55

516.49
272.70

52163
273.68

534.92
274.88

535.57
272.83

54119

Leisure and hospitality:
Current dollars
Constant (1982) dollars..........

8.85
4.67

8.86

9,07
4.66

9.08
4.63

9.08

224.79
118.69

229.47
120.39

230.38
118.39

23154
117.95

236.99

4.65

13.97
7.38

14.00
7.35

14.16
7.29

14.17
7.22

14.25
(2)

430.28
227.18

436.80
229.17

435.33
223.71

437.85
223.05

443.18

Total private:
Current dollars
Constant (1982) dollars ..................

Goods-producing:

Current dollars
Constant (1982) dollars

Other services:
Current dollars................
Constant (1982) dollars.

1
Data relate to production workers in natural resources and mining
and manufactudng, construction workers In construction, and
oonsupervisory workers In the service-providing industries.
2
Data not available.
P* preliminary.




Apr.
2005p

May
2005p

$537.94 $543,42
274.04

1,086.91 1,087.51
553.70

NOTE: The Consumer Price Index for Urban Wage Earners and Clerical
Workers (CPI-W) is used to deflate the earnings series. Data are currently
projected from March 2004 benchmark levels. When more recent
benchmark data are introduced with the release of January 2006 estimates,
all unadjusted data from April 2004 forward are subject to revision.

155

ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-19. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas
Average weekly hours
State and a r e a

Average hourly earnings

Apr.
2004

Mar.
2005

Apr.
2005 P

41.1
41.9
38.1

40.9
42.0
40.4

Alaska

28.3

Arizona
Phoenix-Mesa-Scottsdale
Tucson
Arkansas
Fayetteville-SpringdaJe-Rogers
Fort Smith
.. ..
Little Rock*North Little Rock ...

Alabama
BirminghanvHoover
Mobile
. . .

.

.
. . .

,

California
Bakersfield
Los Angeles-Long Beach-Santa Ana
Modesto
Oxnard-Tnousand Oaks-Ventura
Riveraide-San Bernardino-Ontario

,

Salinas
.
San Diego-Carlsbad-San Marcos
San Frartcjsco-OaWajMi-Frernont
San Jose-Sunnyvale-Santa Clam
Santa Barbara-Santa Maria-Goteta
Santa Rasa~Petakjma

Colorado
Denver-Aurora

,
,

.

Connecticut
,
Bridgeport-Stamford-NorwaliK
Hartford-West Hartford-East Hartford
New Haven
Norwich-New London
Waterbury
. .
Delaware

Apr.
2004

Mar.
2005

Apr.
2005 P

Apr.
2004

40.6
40.9
40.9

$14.17
15.65
16.33

$14.61
15.82
13.99

$14.24
15.38
14.32

$582.39
655.74
622.17

$597.55
664.44
565.20

$578.14
629.04
585.69

35.0

34.4

14.02

12.04

14.28

396.77

421.40

491.23

39.8
39.5
41.4

41.5
41.7
39.7

40.9
40.7
38.6

14.28
13.91
14.57

14.43
14.18
14.11

14.80
14.43
1453

568.34
549.45
603.20

598.85
591.31
560.17

605.32
587.30
560.86

40.1
39.7
39.1
43.9

39.0
39.7
40.8
40.2

39.0
39.3
40.2
39.8

13.61
12.72
13.45
14.32

13.77
12.76
13.38
14.68

13.65
12.74
13.44
14.82

545.76
504.98
525.90
628.65

537.03
506.57
545.90
590.14

532.35
500.68
540.29
589.84

39.7
37.6
39.7
43.5
41.2
40.2
39.8
42.5
39.7
39.7
40.4
41.4
401
39.9

39.9
41.1
40.1
42.4
41.5
39.8
39.5
37.8
39.2
39.1
39.2
42.1
37.6
39.0

39.6
40.3
398
41.5
41.1
39.2
39.7
39.5
39.0
39.3
38.6
42.3
384
39.5

15.31
15.53
13.55
15.16
15.97
13.64
16.09
15.42
14.89
17.49
21.69
15.50
17.26
14.17

15.61
15.44
14,12
15.78
16.23
13.67
16.34
15.811
14.92
17.63
22.24
15.69
17.23
14.29

15.64
15.50
14.15
15.79
16.34
13.74
16.21
15.76
14.94
17.70
22.29
15.61
17.19
14.27

607.81
583.93
537.94
659.46
657.96
548.33
640.38
655.35
591.13
694.35
876.28
641.70
692.13
565.38

622.84
634,58
566,21
669.07
673,55
544,07
645,43
597.62
584.86
689.33
871,81
660.55
647.85
557.31

619.34
624.65
563.17
655-29
671.57
538.61
643.54
622.52
582.66
695.61
860.39
660.30
660.10
563.67

39.8
39.8

37.8
39.0

38.3
38.5

16.46
16.59

16.03
17.38

15.85
17.61

655.11
660.28

605.93
677.82

607.06
677.99

42.0
40.7
43,6
39.7
42.3
40.9

42.3
410
44.0
41.9
42.6
39.0

18.24
21.17
20.13
15.36
17.96
19.34

18.92
19.45
21.36
15.91
18.88
18.84

18.70
19.08
20.91
16.60
18.66
19.02

756.96
874.32
857.54
634.37
752.52
711.71

794.64
791.62
931.30
631.63
798.62
770.56

791.01
782.28
920.04
695.54
794.92
741.78

Mar.
2005

Apr.
2005 P

..

.......

.

,
„

41.5
41.3
42.6
41.3
41.9
36.8
39.8

39.3

39.4

17.87

17.66

17.18

711.23

694.04

676.89

,

41.2

41.7

41.6

13.93

13.33

13.24

573.92

555.86

550.78

38.4
34.4

38.9
36.7

38.5
36.9

14.98
16.68

14.47
15.10

14.89
16.13

575.23
573.79

562.88
554.17

573.27
595.20

36.2
36.4

36.1
36.6

37.0
37.7

13.30
13.77

13.62
13.83

13.33
13.53

481.46
501.23

491.68
506.18

493.21
510.08

.

Florida
Georgia
Atianta-Sandv SDrinos-Marietta

Average weekly earnings

.

Hawaii
Honolulu

-

40.8

38.4

39.7

14.12

14.43

14.52

576.10

554.11

576.44

40.8
41.3
41.3
40.3
40.6

40,7
40.9
40.9
40.1
40.5

40.5
40.9
40.8
40.2
40.6

15.64
15.97
15.80
17.92
17.49

15.73
16.20
15.95
18.11
17.59

15.65
16.25
15.92
18.15
17.64

638.11
659.56
652.54
722.18
710.09

640.21
662.58
652.36
726.21
712.40

633.83
664.63
649.54
729.63
716.18

42.1
38.9
40.4
42.2
39.8

41.9
41.0
39.9
42.5
39.9

41.5
40.4
41.7
41,7
40.0

17.91
15.73
17.69
17.57
21.80

17.88
14.76
20.85
17.56
21.37

17.82
14.74
20.51
17.90
21.38

754.01
611.90
714.68
741.45
867.64

749.17
605.16
831.92
746,30
852.66

739.53
595.50
855.27
746.43
655.20

42.9
45.2

41.4
43.7

41.0
41.2

16.08
17,08

16.17
17.63

16.16
17.32

669.83
772.02

669.44
770.43

662.56
713.58

Kansas
Wichita

40.9
41.1

40.8
43.5

40.9
43.3

16.46
20.16

16.98
20.14

17.01
19.93

673.21
828.58

692.78
876.09

695.71
862.97

Kentucky
Lexinoton-Favette. .. ...
Louisville
. .
»

41.2
40.2
41.1

40.4
40.8
40.2

40.2
41.0
39.9

16.58
15.41
19.64

16.43
15.29
19.05

16.26
15.0?
18.94

683.10
619.48
807.20

663.77
623.83
765.81

653.65
617,87
75S.71

Idaho

,

•.

Illinois
Chicago-Naperville-Joliet
Davenport-Moline-Rock Island
Peoria
Rockford
Indiana
Elkhart-Goshen
Fort Wayne
Indianapolis

.

. ... .
.
* -

Iowa
Des Moines

....

-

«

•

44.2

42.8

42.4

16.17

16.92

17.08

714.71

724.18

724.19

Mniftfi
Portland-South PoiHand-Biddeford

39.1
38.4

38.3
40.1

39.5
39.5

16.85
13.64

16.78
13.87

17.00
14.20

658.84
523.78

642.67
556.19

671.50
560.90

Maryland

40.0

40.3

39.2

16.32

1&39

16.52

652.80

660.52

647.58

Louisiana

«

See footnotes at end of table.




156

ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-19. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued

Apr.
2004

Massachusetts
,..,
....
Boston-Cam&ridge-Ouiney ..
Springfield
Worcester

41.0
40.4
43.7
42.6

Michigan
Detroit-Warren»IJvonia .................
Fjjnt....
Grand Rapids-Wyoming
Kalamazoo-Portage.... ............
Lansing-East Lansing

Average weekly earnings

Average hourly earnings

Average weekly hours
State and area

Apr.
2005 P

Apr.
2004

Mar.
2005

Apr.
2005 P

Apr.
2004

Mar.
2005

Apr.
2005 P

41.8
41.«
42,1
41.11

41.2
41.7
42.4
41.3

$16.73
18.60
15.21
15.45

$17.53
18.82
16.71
16.51

$17.53
18.87
16.74
16.65

$685.93
751.44

$729.25
782.91
703.49
681.86

$722.24
786.88
709.78
687.65

42.3
42.5
45.7
39.2
38.6
42.5

41,0
42.3
44.2!
39,0
39.2
41.0

41.4
43.5
44.4
39.7
39.0
40.8

21.39
24.63
30.65
17.58
15.43
25.17

21.32
24.73
30.44
17.32
15.41
24.83

21.47
24.74
30.48
16.94
15.16
24.73

904.80
1,048,78
1,400,71
68914
1,06973

874.12
1,046.08
1,345.45
675.48
604.07
1,018,03

1,076.19
1,353,31
672.52
591.24
1,008.98

Minnesota.......................
Minneapolis-Si Paui-Bfoomington

41.0
42.0

40.3
40.fi

39.7
40.2

16.13
17.54

16.49
17.73

16.60
17.82

66133
736 68

664.55
723.38

659.02
716.36

Mississippi
Jackson

39.9
38.4

40.6
38.4

40.2
37.0

13.00
14.77

13.47
15.26

13,46
15.31

518.70
567.17

546.88
585.98

541.09
566.47

Missouri
8 t Louis1

40.4
40.9

40.7
44.0

39.6
40.3

18.05
22.07

17.91
22.23

17.72
22.27

729.22
902.66

728.94
978.12

701.71
897.46

Mar,
2005

658.17

38.5

40.2

40.1

14.79

15.16

15.56

569.42

609.43

623.96

Nebraska
Lincoln
Omaha-Council Bluffs

40.9
44.1
41.4

39.4
41.3
40.8

40.8
42.9
41.1

14.99
15.70
17.71

15.42
16.15
18.68

15.28
16.44
18.44

613.09
692.37
733.19

607.55
667.00
762.14

623.42
705.28
757.88

Nevada.................................
Las Vegas-Paradise

39.6

39.9
39.1

39.8
40.1

14.33
14.88

14.97
14.61

15.11
14.69

567.47
589.25

597.30
571.25

601.38
589,07

New Hampshire

40.0
39.5

40.1
40.8

40.4

15.48
17.57

15.80
16.85

15.79
16.88

619.20
694.02

633.58
687.48

637.92
651.57

41.4

41.8

41.2

15.73

15.84

15.85

651.22

658.94

653.02

New Mexico .....................................

39.7
39.4

39.2
40.5

39.2
39.0

13.11
14.80

13.50
15,59

13.52
16.36

520.47
583.12

529.20
631.40

529.98
638.04

AltJu<|ueir(|ue .................................

39.1

39.2

39.8

17.20

17.56

17.64

672.52

688.35

702.07

40.1
43.2
41.1
43.1
40.2
38.4
39.6
38.3

39.9
41.8
40.9
41.7
38.6
37.0
38.7
39J

39.9
41.5
40.9
42.3
37.7
38.0
35.8

14.23
14.76
15.36
15.97
14.13
13.23
13.99
17.53

14.31
15.39
15.55
16.02
14.37
13.42
13.69
17.07

14.31
15.46
15.76
16.19
14.54
13.50
13.74
16.81

570.62
637.63
631.30
688.31
568.03
508.03
554.00
671.40

570.97
643.30
636.00
668.03
554.68
496.54
529.80
681.09

570.97
641.59
644.58
684.84
548.16
513.00
491.89

Montana....

................................

Manchester............................
wsw Jersey «.»««•«•»»»«•«•«•••»«"••• ............

New York
ftorth Carolina
Ashevill®
Charlotte-Gastonia-Coneord
Durham
..................................
Greensboro-High Point.................
Hickoty-Lenoir-Morgantoft
Ralaign-Cary
Winston-Salem .............................
Norm Dakota
Fargo ...........................................
Ohio
Akron
,.
Camon-Massillon
Cincinnati-Middletown ..................
Clevetand-Elyrfa-Mentor
Columbus
Dayton .
Toledo
Youngstown-Warren-Boardman ...

39.0
39.1

38.7
35.8

38.9
36.4

14.26
13.98

15.11
14.01

15.27
13.91

556.14
546.62

584.76
501.56

594.00
506.32

41.1
41.2
40.3
41.5
41.1
40.0
39.8
42.9
42.6

41.4
41.2
37.2
42.7
40.8
40.0
40.7
40.9
44.9

40.7
40.4
37.8
42.4
40.7
39.5
40.8
40.8
43.0

18.32
14.66
16.54
18.99
18.63
18.34
21.52
21.80
25.78

18.97
15.25
17.80
19.30
18.68
19.70
19.78
22.28
26.90

19.01
15.44
17.42
19.19
19.01
20.31
20.09
22.14
26.29

752.95
666.56
788.09
765.69
733.60
856.50
935.22
1,098.23

785.36
628.30
662.16
824.11
762.14
788.00
805.05
911.25
1,207.81

773.71
623.78
658.48
813.66
773.71
802.25
819.67
903,31
1,130.47

Oklahoma
Oklahoma City ..............................
Tulaa

41.0
40.1
41.9

39.1
37.2
41.9

40.8
38.5
42.0

14.69
14.05
16.84

14.18
15.21
16.83

14.82
15.83
16.93

602.29
563.41
705.60

554.44
565.81
705.18

604.66
609.46
711.06

Oregon
Eugene-Springfield
Medford
Pomand-Vancouver-Beaverton ....
Salem

38.9
41.2
39.5
38.3
39.0

39.7
40.8
44.1
39.5
39.0

39.3
39.8
43.1
40.0
39.0

15.33
14.80
14.85
15.93
14.15

15.36
14.71
15.23
15.91
14.00

15.46
14.75
15.28
15.87
14.20

596.34
609.76
586.58
610.12
563.17

609.79
600.17
671.64
628.45
546.00

607.58
587.05
658.57
634.80
553.60

See footnotes at enci of table.




157

ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-19. Average hours and earnings of production workers on manufacturing payrolls In States and selected areas—Continued
Average hourly earnings

Average weekly hours
State and area

Average weekly earnings

Apr.
2004

Mar.
2005

Apr.
2005P

Apr.
2004

Mar.
2005

Apr.
2005 P

Apr.
2004

Mar.
2005

Apr,
2005 P

40.0
38.2
43.8
39.2
40,7
41.0
40.3
38.1
40.9

40.5
39.0
43.7
38.2
39.4
41.9
40.8
36.6
41.1

40.5
38.7
42.9
39.1
39.2
41.3
40.8
36.9
41.2

$15.06
14.74
16.03
15.02
15.21
16.35
15.80
13.80
15.91

$15,23
14.94
16.20
15.59
16.00
16.55
16.20
13.76
15,49

$15.15
14.86
16.03
15,67
16.14
16.38
16.12
13.81
13.55

$602.40
563.07
702.11
588.78
619.05
670.35
636.74
525.76
650.72

$616.82
582.66
707.94
595.54
630.40
693.45
660.96
503.62
636.64

$613.58
575.08
687.69
612.70

Rhode Island
.,..„..
Providence-Fail River-Warwick .

38.2
40.1

37.9
38.6

38.4
38.7

13.00
13.32

12.99
13.38

13.04
13.44

509.60
534.13

492.32
516.47

500.74
520.13

South Carolina.

39.3

39.3

39.1

14.55

15.24

15.21

571.82

508.93

594.71

Pennsylvania
,
AHentown-Bethtehem-Easton .
Erie
Harrisburg-Carlisle
Lancaster
,
Reading
Scranton—Wilkes-Barre
York-Hanover

676.49
657.70
509.59
640.66

South Dakota ...

41.3

41.5

41.6

13.24

13.38

13.32

546 61

555.27

554.11

Tennessee .,
.
Chattanooga
Knoxville
Memphis
Nashville-Davidson—Wurfreesboro.

39.7
41.3
39.7
41.0
40.4

39.0
40.7
39.1
40.4
38.9

39.3
41.0
39.5
40.5
39.1

13.89
12.47
13.58
14.52
14,27

13.88
12.87
15.29
14.47
14.40

13.88
12.95
15.45
14.71
14.53

551.43
515.01
539.13
595.32
576.51

541.32
523.61
584.59
560.16

545.48
530.95
610.28
595.76
568.12

Texas
.
«.
Dallas-Fort Worth-Arlington......
Houston-Baytown-SugarLand .
San Antonio

39.8
38.6
40.9
39.1

40.4
39.1
42.2
38.4

39.4
39.6
41.4
38.0

13.94
14.80
17.29
11.01

14.00
15.06
17.52
10.73

14.04
15.21
17.72
10.69

554.81
571.28
707.16
430.49

565.60
588.85
739.34
412.03

553.18
602.32
733.61
406.22

Utah
Ogden-Ciearfieid .
Provo-Orem
Salt Lake City

38.3
43.0
42.0
37.4

38.1
38.1
43.6
37.3

38.5
38.4
41.7
38.2

15.35
16.46
13.75
15.16

14.71
14.50
13.50
15.69

14.96
14.43
113.82
15.86

587.91
707.78
577.50
566.98

560.45
552.45
588.60

575.96
554.11
576.29
605.85

Vermont
Burlington-South Burlington

40.0
38.0

39.5
39.6

39.2
39.6

14.59
15.15

14.87
15.70

14.93
15.80

583.60
575.70

587.37
621.72

585.26
625.68

Virginia ..,„....„
Lynchburg
«.
Richmond
.. ..................
Virginia Beach-Norfolk-Newport News .

41.2
44.1
36.2
45.0

40.8
43.7
36.3
44.7

41.2
43.8
36.9
45.1

16.25
15.24
16.71
19.48

16.20
15.83
15.74
19.23

16.38
15.95
15.57
19,35

669.50
672.08
604.90
876.60

660.96
691.77
571.36
859.58

674.86

39.0

39.1

18.15

18.80

18.91

724.19

733.20

739,38

West Virginia
Hunington-Ashland .

40.9
41.9

40.9
42.4

41.1
43.3

16.33
16.24

17.02
17.77

17.10
17.60

667.90
680.46

696.12
753.45

702.81
762.08

Wisconsin
Miiwaukee-Waukesha-West/Jlia .

39.8
40.9

40.1
40.6

39.8
40.0

16.37
17.10

16.26
17.08

16.23
16.95

651.53

652*03
693.45

645.95
678.00

Wyoming

40.1

39.5

41.1

15.92

16.92

17.22

638.39

668.34

707.74

Puerto Rico ....

40.9

40.7

41.1

10.66

10.88

10.93

435.99

442.S2

449.22

Virgin Islands .

46.2

42.5

42.5

23.93

23.28

21.92

1,105.57

989.40

931.60

Washington.

1
Area boundaries do not reflect official OMB definitions.
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 2006
estimates, unadjusted data from April 2004 are subject to revision. Area definitions are
based on Office of Management Budget Bulletin No. 04-03, dated February 18,2004, and
are available at hnp://www.bfs.govAauAausmsa.htm and in the May issue of Employment




158

574.53
872.69

and Earnings. Areas in the six New England states are Metropolitan New England City
and Town Areas (NECTAs), while areas in other states are county-based. Some
metropolitan areas lie in two or more states. They are listed under the state that appears
first in their titles. Qavenport-Moline-Rock Island, lowa-HL, and Weirton-Steubenviile, W.
Va -Ohio, are the exceptions in that they are listed under Illinois and Ohio, respectively,
for operational reasons.

ESTABLISHMENT DATA
MOT SEASONALLY ADJUSTED
B-20. Average hours and earnings of production workers on manufacturing payrolls in selected states, metropolitan
areas, and metropolitan divisions
(Numbers \n thousands)
Average weekly hours

State, area, and division

Average hourly earnings

Apr

yar.
2005

Apr,
2004

2005 P

Average weekly earnings

Apr.
2004

Mar.
2005

Apr,
2005 P

Apr.
2004

Mar.
2005

Apr,
2005 P

$15.61
14.12
14.04
14.35
17.63
18.45
15.90

$15.64
14.15
14.06
14.40
1770
18.48
16.05

$607.81
537.94
528.66
561.98
694.35
748.26
590.14

$622.84
566.21
558.79
584.05
689.33
732.47
602.61

$619.34
563.17
558.18
577.44
695.61
742.90
606.69

California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
.....
Santa Ana-Anaheim-Irvine
San Franciseo-OaWand-Fremont ...................
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City ....

39.7
39.7
39.6
39.8
39.7
40.6
38,0

39,9
40.. 1
38,8

39.6
39.8

407
87,9

40.1
39.3
40.2
37.8

$15.31
13.55
13.35
14.12
17.49
18.43
15.53

District of Columbian
Washington-Arlington-Afexandria1 ................

40.5

39,5

39.9

16.42

16.87

17.05

665.01

666.37

680.30

40.8
41.3
41.4
42.2
40.1

407
40,9
40.7
43.9
4.0,2

40.5
40.9

15.64
15.97
15,42
21.66
15.31

1573
16.20
15,56
22.64
15.41

15.65
16.25
15.60
2275
15.46

638.11
659.56
638.39
914.05
613.93

640.21
662.58
633.29
993.90
619.48

633.83
664.63
634.92
987.35
623.04

41.0
40.4
39.5
40.1

41,6
41.6
42.7
41,0

42.0
42.3

1673
18.60
1774
16.02

17.53
18.82
17.98
16.50

17.53
18.87
18.02
1674

685.93
751.44
70073
642.40

729.25
782.91
76775
676.50

722.24
786.88
756.84
708.10

Illinois

.................

Chfeaga-Napervifie-Joltet% ....
...................
Chieago-Napervitle-Joliet...............................
Gary *
Lake County-Kenosha County 1 ....................

Massachusetts
Boston-Cambridge-Quincy1
Boston-Cambridge-Quincy
Nashua 1

.,

,

397

39,1

387

•

407
43.4
40.3
41.2

417

Michigan
........................................
Oetroft-Warren-Livonia
.......................
Detroft-Uvonia-Deartoom ...............................
Warren-Farmington Hills-Troy

42.3
42.5
42.7
42.4

41.0
42,3
41.4
42,9

41.4
43.5
43.9
43.3

21.39
24.63
25.61
24.01

21.32
2473
25.05
24.56

21.47
2474
25.05
24.55

904.80
1,04678
1,093.55
1,018.02

874.12
1,046.08
1,037.07
1,053.62

888.86
1,076.19
1,09970
1,063.02

PMintylvifita......................................................

40.0
40.4
38.4

40,5
40,0
40.1

40.5
39.8
40.4

15.06
16.43
22,57

15.23
16.63
20.80

15.15
16.55
20.32

602.40
66377
turn RQ

616.82
665.20
834.08

613.58
658.69
820.93

39.3
38.6
37.8
40.3

404

39.4
39.6
37.6
43.3

13.94
14.80
13.59
17.15

14.00
15.06
13.64
17.53

14.04
15.21
1376
17.67

565.60
588.85
510.14
743.27

553.18
602.32
517.38
765.11

Wilmington 2

ZZZZZZZZZZZZZ,

Texts
Da!!a$"Forf Worth-Arlington
Dallas-Piano-Irving
Fort Worth-Arlington

OOO.U9

38 1
37.4

424

1

18, 2004, and are available at http://wmvMls.gov/laa48uBmsa.htm and in the May
issue of Employment and Earnings. Areas in the six New England states are
Metropolitan New England a t y and Town Areas (NECTAs), while areas in other
states are county-based. Some metropolitan areas lie in two or more states. They
are listed under the state that appears first in their titles. Some divisions lie in more
than one state, and some, like Camden, N J . , am totally outside the states under
which their metropolitan areas are listed.

Part of the area Is in one or more adjacent states.
ASS 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 2006
estimates, unadjusted data from April 2004 are subject to revision. Area definitions
are based on Office of Management and Budget Bulletin No. 04-03, dated February
2




554.81
571.28
51370
691.15

159

LABOR FORCE DATA
REGIONS AND DIVISIONS
SEASONALLY ADJUSTED
C-1. Labor force status by census region and division, seasonally adjusted1
(Numbers in thousands)
2004

200a

Census region and division
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

NORTHEAST
27,491.0 27,488.6 27,517.3 27,576. 27,573.5 27,593.0 27,589.8 27,629
27,648.3 27,575.0 27,613.4 27,580.5 27,689.3
25,984.8 26t023,1 26,026.3 26,109.0 26,132.0 26,185.6 26,2057 26,266.2 26,266.9 26,2777 26,264.6 26,262.5 26,404.0
1,441.5 1,407
1,506.;
1,465.6 1,491.0 1,467.;
1,384.1 1,363.0 1,381.4 1,297.3 1,348.8 1,318,0 1,285.3
5,1
5.;
5.3
5.4
5.5
4.9
5.3
5.0
5.0
47
4.8
4.9
4.6

Civilian labor force
Employed
Unemployed
Unemployment rate
New England

7,537.2
7,161.1
376.1
5.0

Civilian labor force
Employed
Unemployed
Unemployment rate

7,543.6
7,165,6
377.9
5.0

7,538.1
7,166.6
371,5
4.9

7,5347
7,168.
366.5
4.9

7,514.0
7,169.8
344.
4.6

7,526.0
7,166.8
359.1
4.8

7,505.3
7,167.9
337.3
4.5

7,500.3
7,169.1
331.3
4.4

7,496.9
7,172.9
323.9
4.3

7,493.2
7,158.9
334.3
4.5

7,500.3
7,152.2
348.1
4.6

7,512.8
7,1597
353.1
47

7,546.9
7,201.4
345.5
4.6

Middle Atlantic
19,953.8 19,945.1 19,979.2 20,041.4 20,047.5 20,079.0 20,084.6 20,128.8 20,151.4 20,081.8 20,113.1 20,0677 20,142,4
18,823.7 18,857.4 18,859.7 18,9407 18,965.2 19,015.8 19,0377 19,097.2 19,093.9 19,118.8 19,112.3 19,102.8 19,202.6
1,130.1 1,087.6 1,119.5 1,1007 1,082.4 1,063.2 1,046.8 1,0317
1,057.5
963.1 1,000.8
964.9
939.8
5.5
5,
5.4
5.6
5.5
5.7
5.3
5.2
5.1
4.8
5.0
4.8
47

Civilian labor force
Employed
Unemployed
Unemployment rate.
SOUTH

51,633.8 51,688.9 51,746.8 51,779.0 51,819.3 51,8547 51,959.1 52,030.0 52,103.6 52,247.6 52,364.9 52,312.1 52,571.9
48,901.2 48,960.4 49,020.7 49,073.2 49,123.4 49,170.1 49,238.5 49,289.6 49,335.6 49,570.5 49,612.4 49,673.8 49,938.8
2,732,6 2,728.5 2,726.1 2,705.8 2,695.9 2,684.6 2,720.6 2,740.4 2,768.0 2,677.0 2,752.4 2,638.3 2,633.1
5.2
5.3
5.2
5.3
5,2
5.3
5.3
5.3
5.2
5.3
5.1
5.0
5.0

Civilian labor force
Employed
Unemployed
Unemployment rate..
South Atlantic

27,209.2 27,252.1 27,304.2 27,312.3 27,336.4 27,346,9 27,417.0 27,463.6 27,510.3 27,570.6 27,648.0 27,654.8 27,809.5
25,892.8 25,927.9 25,963.2 25,9937 26,023.5 26,048.3 26,099 3 26,128.2 26,154.6 26,298.6 26,317.8 26,362.1 26,519.3
1,316.4 1,324.2 1,341.0 1,318.6 1,312.9 1,298.6 1,317.8 1,335.3 1,355.7 1,272.1 1,330.2 1,2927 1,290.2
4.8
4.9
4.8
4.9
4.9
47
4.8
4,9
4,6
47
4.8
4.6
4.8

Civilian labor force
Employed
Unemployed
Unemployment rate.
East South Central
Civilian labor force
Employed.....
Unemployed
Unemployment rate

,

8,360.7
7,899.1
4617
5.5

8,359.5
7,901.9
457.6
5.5

8,353.6
7,905.8
447.8
5.4

8,361.0
7,905.5
455.4
5.4

8,365.7
7,902.4
463.3
5.5

8,365.8
7,902.2
463.5
5.5

8,368.3
7,900.1
468.2
5.6

8,363.6
7,9017
461.9
5.5

8,3627
7,899.4
463.4
5.5

8,3907
7,912.4
478.3
57

8,414.6
7,929.8
484.8
5.8

8,382.5
7,912.8
4697
5,6

8,391.0
7,922.8
468.3
5.6

West South Central
Civilian labor force
Employed
Unemployed
Unemployment rate

16,063.9 16,077.2 16,089.0 16,105.8 16,117.2 16,142.0 16,1737 16,202.9 16,230.6 16,286.2 16,302.2 16,274.9 16,371.4
15,109.4 15,130.5 15,1517 15,174.0 15,197.5 15,219.5 15,239.1 15,2597 15,281.6 15,359.5 15,364.9 15,398.9 15,4967
946.7
922.5
937.3
9267
9347
919.8
9317
875,9
949,0
943.2
954.6
874.6
937.4
59
57
5.8
5.4
5.7
5.8
57
5.8
5.9
5.3
5.8
5.8
57

MIDWEST
Civilian labor force
Employed
Unemployed
Unemployment rate

34,364.6 34,411.6 34,421.8 34,470.2 34,488.2 34,487.4 34,509.9 34,515.2 34,504.9 34,5397 34,630.8 34,595.6 34,742.8
32,434.7 32,448.7 32,465.9 32,4767 32,498.6 32,518.1 32,532.8 32,539.9 32,562.8 32,613.8 32,6242 32,6567 32,822,0
1,929.8 1,962.9 1,955.9 1,993.5 1,989.5 1,969.3 1,977.0 1,975.3 1,942.1 1,925.9 2,006.6 1,938 8 1,920.8
57
57
5.6
57
57
5.8
5,6
5.8
5.8
5.6
5.7
5.6
5.5

East North Central
Civilian labor force
Employed
Unemployed
Unemployment rate

23,553.4 23,581.3 23,577.9 23,616.3 23,616.2 23,625.6 23,658.6 23,663.8 23,647.2 23,693.6 23,757.1 23,719,4 23,857.3
22,137.5 22,146.0 22,160.4 22,168.0 22,180.4 22,200.1 22,214.5 22,2187 22,230.5 22,303.5 22,283,6 22,311.2 22,441,8
1,416.0 1,435.3 1,417.5 1,448.3 1,435.8 1,425.5 1,444.1 1,445.1 1,4167 1,390,1 1,473.5 1,408,2 1,415.5
6.0
6.1
6.1
6.0
6.2
6.0
6.1
6.1
5.9
5.9
6.0
6.1
5.9

West North Central
Civilian labor force
Employed
Unemployed
Unemployment rate

0,811.1 10,830.3
0,297.3 10,302.7
527.5
513.9
4.9
4.8

0,844.0
0,305.6
538.4
5,0

0,853,9
0,308.7
545.2
5.0

0,872.0
0,318.2
553.7
5.1

0,861.8
0,318.0
543.8
5,0

See footnotes at end of table.




160

0,851.3
0,318.3
533.0
4.9

0,851.5
0,321.3
530.2
4.9

0,857.7
0,332.2
525.4
4.8

0,846.2
0,310.3
535.9
4.9

0,8737
0,340,6
533,1
4.9

0,876.1 10,885.5
0,345.6 0,380.2
505.3
530.6
4.6
4.9

LABOR FORCE DATA
REGIONS AND DIVISIONS
SEASONALLY ADJUSTED
C-1. Labor force status by census region and division, seasonally adjusted1—Continued
(Numbers in thousands)
2005

2004
Census region and division
Apr.

May

June

July

Aug.

Sept,

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

WEST
Civilian labor force....
Employed
Unemployed
.,
Unemployment rate

33,567.6 33,598.6 33,629.6 33,657.2 33,682.5 33,7367 33,778.1 33,820.5 33,8467 33,844.6 34,036.4 33,9627 34,158,1
31,522.9 31,581.9 31,638.6 31,693.8 31,751.0 31,803.9 31,8657 31,917.8 31,963.1 32,025.3 32,189.6 32,206.9 32,358.0
1,932.8 1,912.4 1,902.7 1,883.7 1,819-2 1,846.8 1,7557 1,800.1
1,991.0 1,963.4 1,930if
2,0167
2,044.6
5.3
5.2
5.4
5.4
5.6
57
57
5.9
6.1
5.7
5.8
5.6
6.0

Mountain
Civilian labor force ,„.
Employed

Unemployed
Unemployment rate

10,026.5 10,036.2 10,050.7 10,066,1 10,082.2 10,099.4 10,115.0 10,120.0 10,1307 10,154,0 10,198.4 10,220.6 10,290.6
9,500.5 9,523.2 9,543.8 9,5627 9,583.0 9,598.4 9,620.6 9,635.2 9,651.9 9,698.4 9,731.3 9,734.9 9,790.0
467.1
4857
500,6
478.8
455,6
494.4
484.8
501.0
499.2
503.4
507.0
513.0
526.0
4.9
4,8
4.6
4.9
4.5
47
5.0
5,0
4.8
5.1
5.0
5.Ci
5,2

Pacific
Civilian labor force....
Employed

Unemployed
Unemployment rate

23,541.0 23,562.4 23,578.9 23,591.0 23,600,3 23,637.3 23,663.1 23,700.5 23,716,0 23,690.5 23,838.0 23,742.1 23,867.4
22,022.4 22,058.6 22,094.8 22,131.1 22,168.5- 22,205.5 22,245.1 22,282.6 22,311.2 22,327.0 22,458.3 22,472.0 22,568.0
1,270.0 1,299.5
1,3797
1,518.6 1,503.7 1,484.1 1,460.0 1,431.7 1,431.8 1,418.0 1,417.9 1,404.9 1,363.6
5.4
5.3
5.8
5.8
6.0
6.0
6,1
5.9
6.2
6.3
6A
6.5
6.1

1
Census region estimates are derived by summing the Census division
model-based estimates,
P as preliminary,
NOTE: Data refer to place of residence. The States {inciuding the District of
Columbia) that compose the various census divisions are: New England:
Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont;
Middle Atlantic: New Jersey, New York, and Pennsylvania; South Atlantic:
Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South




Carolina, Virginia, and West Virginia; East South Central: Alabama, Kentucky,
Mississippi, and Tennessee; West South Central: Arkansas, Louisiana, Oklahoma,
and Texas; East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin;
West North Central: Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota,
and South Dakota; Mountain: Arizona, Colorado, Idaho, Montana, Nevada, New
Mexico, Utah, and Wyoming; and Pacific: Alaska, California, Hawaii, Oregon, and
Washington.

161

STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted
(Numbers in thousands)

2005

2004
State
Apr.

May

June

July

Aug.

Sept.

Oct

Nov.

Dec.

Jan.

Feb,

Mar.

Apr.P

Civilian labor force
Employed
Unemployed
Unemployment rate .

2,144.9
2,023.9
121.1
5.6

2,147.6
2,025.8
121.8
5.7

2,146.8
2,028.0
118.9
5.5

2,149.0
2,030.1
118.9
5.5

2,152.3
2,032.2
120.1
5.6

2,154.0
2,034.3
119.6
5.6

2,155.3
2,036.6
118.7
5.5

2,154.9
2,038.9
116.0
5.4

2,156.2
2,041.3
114.9
5.3

2,160.9
2,047,3
113.6
5.3

2,161.7
2,049.3
112.4
5.2

2,153.2
2,051.3
101.8
4.7

2,143.5
2,049.1
94.4
4.4

Civilian labor force
Employed
Unemptoyed
Unemployment rate .

331.6
307.1
24.5
7.4

331.8
307.4
24.4
7.4

332.4
307.6
24.7
7.4

332.3
307.9
24.5
7.4

332.9
308.1
24.8
7.5

333.4
308.3
25.1
7.5

308.5
25.1
7.5

333.9
308.7
25.2
7.6

334.2
308.9
25.3
7.6

334.5
310.0
24.5
7.3

336.4
312.2
24.2
7.2

336.8
314.5
22.3
6.6

339.7
317,0
22.6
6,7

2,765.1
2,620.8
144,3
5.2

2,765.8
2,626.2
139.6
5.0

2,771.4
2,632.8
138.6
5.0

2,778.9
2,641.3
137.7
5.0

2,782.7
2,646.6
136.1
4.9

2,787.2
2,653.0
134.2
4.8

2,793.8
2,661.6
132,2
4.7

2,798.3
2,6687
129.6
4.6

2,796.7
2,670.9
125.8
4.5

2,801.8
2,684.9
116.9
4.2

2,804.0
2,680.0
124.0
4.4

2(810.7
2,679.2
131.6
4.7

2,834.9
2,694.4
140.5
5.0

1,301.3
1,227.4
74.0
5.7

1,303.2
1,228.1
75.1
5.8

1,303.5
1,227.9
75.6
5.8

1,307.6
1,232.8
74.9
5.7

1,311.3
1,237.0
74.3
5.7

1,313.6
1,239.3
74.3
5.7

1,316.2
1,242.1
74.1
5.6

1,317.7
1,244.5
73.3
5.6

1,321.5
1,248,2
73.4
5.6

1,319,5
1,248.8
70.6
5.4

1,325.7
1,252.6
73.0
5.5

1,327.8
1,259.4
68.5
5.2

1,338.9
1,272.9
66.0
4.9

Alabama

Arizona
Civilian labor force.....
Employed
Unemployed
Unemployment rate .
Arkansas
Civilian labor force
Employed.
Unemployed
Unemployment rate .
California
Civilian labor force
Employed
Unemployed
Unemployment rate.

17,495.7 17,514.2
16,383.3 16,407.9
1,112.4
1,106.3
6.4
6.3

17,540.8 17,576.1 17,572.3 17,601.2 17,635.8 17,648.0 17,630.4 17,610.3 17,742.3 17,656.8 17,746,9
16,435.9 16,490.4 16,505.3 16,531.4 16,574.7 16,591,6 16,579.7 16,590.1 16,717.5 16,699.1 16,791,6
1,061.2
1,056.4
1,069.8
957,7
1,104.9
1,085.7
1,050.6
1,020.2
1,024.8
955.3
1,067.0
6.0
6.1
6.0
5,4
6,1
6.3
6.2
6.0
5.8
5.8
5.4

Colorado
Civilian labor force
Employed
Unemployed
Unemployment rate .

2,510.5
2,372.1
138.5
5.5

2,515.4
2,377.7
137.7
5.5

2,520.0
2,382.0
138.0
5.5

2,524.1
2,386.0
138.1
5.5

2,529.5
2.390.7
138.9
5.5

2,533.6
2,396.1
137.5
54

2,538.1
2,400.3
137.7
5.4

2,539.8
2,403.3
136.4
5.4

2,544.0
2,407.2
136.9
5.4

2,537.8
2,416.1
121.7
4.8

2,542.8
2,418.7
124.1
4.9

2,543.8
2,413.1
130.8
5.1

2,559.0
2,424,6
134.4
5,3

1,798.3
1,709.0
89.3
5.0

1,799.0
1,709.4
89.6
5.0

1,796.8
1,709.8
87.0
4.8

1,796.8
1,710.2
86.7
4.8

1,797.0
1,710.5
86.5
4.8

1,795.5
1,710.8
84,7
4.7

1,794.9
1.711.1
83.8
4.7

1,794.1
1,711.4
82.7
4.6

1,791.5
1,711.6
79.9
4.5

1,782.3
1,698.3
84.0
4.7

1,776.7
1,691.4
85.3
4.8

1,789.6
1,701,6
88.0
4.9

1,808.0
1,719.7
88.3
4.9

422.5
405.3
17.1
4.1

422.7
405.5
17.2
4.1

422.9
405.6
17.3
4.1

423.1
405.8
17.3
4.1

423.2
405.9
17.4
4.1

423.4
406.0
17.4
4.1

423.6
406.1
17.5
4.1

423.8
406.3
17.5
4.1

424.0
406.4
17.6
4.2

423.6
408.5
18.1
4.3

426.3
409.0
17.3
4.1

426.9
410.2
16.7
3.9

429.4
412.8
16.6
3.9

298.2
274.7
23.4
7.9

297.5
273.7
23.8
8.0

297.4
273,2
24.2
8.1

295.4
270.8
24.6
8.3

298.2
273.2
25.0
8.4

299.7
274.3
25.5
8.5

300.3
274.4
25.9
8.6

301.0
274.7
26.3
8.7

302.7
276.0
26.7
8,8

305.6
280.7
24.9
8.1

306.3
281.3
25.0
8.1

303.4
279.7
23.6
7.8

303.2
279.8
23.4
7.7

8,365.4
7,965.2
400.2
4.8

8,378.9
7,979.6
399.3
4.8

8,396.0
7,996.1
399.9
4.8

8,410.6
8,015.6
395.2
4.7

8,412.3
8,021.5
390.8
4.6

8,434.9
8,029.2
405.7
4.8

8,457.1
8,053.8
403.3
4.8

8,473.4
8,077.8
395.6
4.7

8,480.8
8,090.3
390.5
4.6

8,512.0
8,141,4
370.6
4,4

8,564.6
8,173.2
391.4
4.6

8,560.9
8,185.9
375,0
4.4

8,622.3
8,258.9
363.3
4.2

4,372.6
4,178.6
194.0
4.4

4,383.2
4,183.1
200.1
4.6

4,392.2
4,187.3
204.9
4.7

4,395.7
4,191.5
204.1
4.6

4,404.9
4,195.4
209.5
4.8

4,409.7
4,199.0
210.7
4.8

4,413.8
4,202.5
211.2
4.8

4,418.5
4,206.0
212.5
4.8

4,422.1
4,209.4
212,7
4.8

4,444.5
4,231.6
212.9
4.8

4,448.7
4,220.9
227,8
5.1

4,456.7
4,235.2
221.5
5.0

4,470,0
4,246,7
223.3
5.0

Connecticut
Civilian labor force
Employed
Unemployed
Unemployment rate.
Delaware
Civilian labor force
Employed
Unemployed
Unemployment rate .
District of Columbia
Civilian labor force
Employed ,
Unemployed
Unemployment rate ,
Florida
Civilian labor force
Employed...,
Unemployed
Unemployment rate .
Georgia
Civilian labor force
Employed
Unemployed
Unemployment rate .
See footnotes at end of table.




162

STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued

(Numbers in thousands)
2005

2004
State
Apr,

May

June

July

Aug,

Sept.

Oct.

Nov.

Dec.

Jan.

Feb,

Mar.

Apr.P

Hawaii
614.3
594.0
20 8
3.4

615.3
595.3
20.0
3.3

615.0
595.5
19.5
3.2

615.2
596.4
18.8
3.1

616.6
597.5
19.2
3.1

616.9
597.6
19.4
3.1

617.6
598.5
19,1
3.1

618.2
599.3
18,9
3.1

618.3
599.5
18.8
3.0

621.4
603.2
18.3
2.9

627.8
609.1
18.7
3,0

626.2
608.8
17.4
2,8

630.9
612.5
18.4
2.9

701.4
667.1
34.4
4.9

702.4
668.4
34.0
4.8

703.4
669.7
33.7
4.8

704.6
671.3
33.3
4,7

705.6
672.7
32.9
4,7

705.5
673.1
32.4
4.6

706.1
674,2
32.0
4.5

706,6
675,1
31.5
4.5

707.2
676.2
31.0
4.4

714.0
684.2
30.6
4.8

724.2
694.3
29.9
4.1

725.4
694.9
30.5
4,2

728.6
699.7
28.9
4.0

6,381.2
5,986,7
394.5
6.2

6,391,4
5,993.2
398.2
6.2

6,381.9
5,994.4
387.5
6.1

6,400.3
6,006.2
394,1
6,2

6,401.2
6,006.9
394.3
6.2

6,406.9
6,018.7
388.2
6.1

6,415.6
6,0237
391.9
6.1

6,410.5
6,021.2
389.3
6.1

6,409.2
6,022.8
386.4
6.0

6,456.3
6,095.8
360.5
5.6

6,465.4
6,082.7
382.7
5,9

6,449.0
6,086.2
362.8
5.6

6,495,1
6,111.1
384.0
5.9

Civilian labor force
Employed.
Unemployed
Unemployment rate ..................

3,166,3
3,006,3
160.1
5.1

3,165.5
3,003.2
162.2
5.1

3,168.5
3,005.5
163.0
5.1

3,177.3
17O.'S
5.4

3,168.5
3,003.3
165.2
5.2

3,170.6
3,006.4
164.2
5,2

3,173.8
3,007.8
166.0
5.2

3,170.8
3,008.1
162.7
5.1

3,171.1
3,007.6
163.5
5.2

3,184.0
3,010.6
173.4
5.4

3,202.2
3,018.2
184,1
5.7

3,207.0
3,027.8
179.2
5.6

3,217.1
3,044.7
172.4
5.4

Civilian labor force
Employed
Unemployed
Unemployment rate

1,622,4
1,545.6
76,8
4,7

1,624.0
1,546.5
77.4
4.8

1,623.3
1,545.2
78.1
4.8

1,6234
1,544.6
78.7
4M

1,624.9
1,545,5
79,4
4,9

1,624.8
1,544,8
80.0
4.9

1,625,2
1,544.5
80,6
5.0

1,626.1
1,544.8
81.3
5.0

1,628.0
1,546.1
81.9
5.0

1,624.1
1,541.8
82.3
5.1

1,636.4
1,553.4
83.1
5,1

1,643.1
1,559.8
83.3
5.1

1,645.3
1,572.0
73.3
4.5

1,461.3
1,380.4
80.9
5.5

1,463.4
1,382.0
81,4
5.6

1,463.8
1,383.5
80.4
5,5

1,464.4
1,384.9
79,5
5.4

1,465.9
1,386.1
79.8
5.4

1,466.4
1,387.4
79.0
5.4

1,467.4
1,388.4
79.0
5.4

1,466.7
1,389.0
77.7
5.3

1,468.3
1,390.8
77.5
5.3

1,465.1
1,388.2
76.0
5.2

1,464.4
1,384.9
79.5
5.4

1,465.6
1,386,7
78.9
5.4

1,471.6
1,395.4
76.2
5,2

1,977.9
1,868.3
109.6
5.5

1,977.6
1,868.9
108.6
5.5

1,976.9
1,869.2
107.7
5.4

1,975.3 | 1,972.1
1,870.1$
1,871.0
104,11 I 101.1
5,3 [
5,1

1,968.6
1,872,2
96.4
4.9

1,968.4
1,873.0
95.4
4.8

1966.6
1,874.7
91.9
4.7

1,967.7
1,875.8
91.9
4.7

1,972,5
1,874.8
97.7
5.0

1,980,8
1,878.0
102.7
5.2

1,983.3
1,878.3
105.0
5.3

1,993.7
1,882.7
111.0
5.6

2,054,3
1,937.2
117,1
5.7

2,054.5
1,935.2
119.3
5.8

2,057.0
1,937,7
119.3
5.8

2,057:11
1,940.0
117il
5,7

2,054.8
1,942.5
112,2
5.5

2,057.7
1,940.8
116.8
5.7

2,068.7
1,949.8
119.0
5.8

2,071.7
1,952.4
119.3
5.8

2,069.9
1,952.0
117.9
5.7

2,091.4
1,971.9
119.5
5.7

2,094.3
1,968.9
125.3
6.0

2,081.6
1,971.8
109.9
5.3

2,101.0
1,993.0
108.0
5,1

666.1
30.8
4A

698,3
667.3
31.0
4.4

667.7
31.3
4.5

699,1
667.8
31.3
4.5

701.2
668.5
32.6
4.7

701.3
668.2
33.1
4.7

702.3
669.3
32.9
4.7

702.7
670.2
32.5
4.6

702.9
670.3
32.7
4.6

700.9
670.4
30.6
4.4

701.4
669.1
32.3

701.7
668.9
32.7
4,7

705,7
672.5
33,3
4.7

2,879.1
2,759.2
119.9
4.2

2,881.6
2,760.7
120,8
4.2

2,881.6
2,759,4
122.3
4,2

2,882.9
2,758.5
124.4
4.3

2,884.2
2,759.4
124,8
4.3

2,884.8
2,762.1
122.6
4.3

2,884.8
2,763.4
121.4
4.2

2,886.8
2,765.9
120.8
4.2

2,884.7
2,765.3
119.4
4.1

2,893.0
2,773.7
119.3
4.1

2,896.3
2,775.5
120.8
4.2

2,899.4
2,776.0
123.4
4.3

2,915.2
2,790.9
124.3
4.3

3,395.3
3,216.2
179,1
5.3

3,395.3
3,218.1
177.2
5.2

3,394.1
3,219.8
174.3

3,392.8
3,221.3
171.5
5.1

3,391,4
3,222.5
168.9
5.0

3,389.2
3,223.5
165.7
4.9

3,388.1
3,224.3
163.8
4.8

3,386.4
3,224.8
161.6
4.8

3,385,1
3,225.2
159.9
4.7

3,371.3
3,210.9
160.4
4.8

3,377.0
3,212.5
164.5
4.9

3,369.6
3,204.8
164.8
4.9

3,377,5
3,219.7
157.8
4.7

Civilian labor force ......................
Employed,
Unemployed
Unemployment rate ..................
Idaho
Civilian labor force
Employed
Unemployed
Unemployment rate ..................
Illinois
Civilian labor force ......................
Employed
Unemployed
.......................
Unemployment rate ..................
Indiana

Kansas
Civilian labor force ......................
Employed.,..
Unemployed .............................
Unemployment rate
ftentucicy
Civilian labor force ......................
Employed..
Unemployed
Unemployment rate
Louisiana
Civilian labor force
Employed,,.
Unemployed
Unemployment rate
Mstlm
Civilian labor force
Employed
Unemployed
Unemployment rate ...................
i/farylancS
Civilian labor force
Employed
Unemployed
Unemployment rate ...................

Mmmchumm
Civilian labor force.......................
Employed....
Unemployed
Unemployment rat© ...................

See footnotes at end of table.




163

STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

5,062.
4724.8
337.4
6.7

5,077.5
4,724.0
353.5
7.0

5,075.1
4,719.4
355.7
7.0

5,080.8
4,718.9
361.8
7.1

5,078.5
4,719.
359.2
7.1

5,086.2
4,725.1
361.1
7,1

5,094.6
4,730.2
364.4
7,2

5,097.8
4,721.3
376.5
7,4

5,092.9
4,708.5
384.5
7,5

2,948,5
2,815.4
133.1
4.5

2,956.0
2,820.8
135.2
4.6

2,959.7
2,623.0
1367
4.6

2,957.6
2,822.3
135.3
4.6

2,956.5
2,819.0
137.4
4.6

2,952.1
2,818.4
133.8
4.5

2,930.6
2,827.1
133.5
4.5

2,961.5
2,830.2
131.3
4.4

1,323.5
1,249,5
74.0
5.6

1,328.0
1,246.2
79.8
6.0

1,329.0
1,247.4
81.6
6.1

1,331.4
1,247.1
84.3
63

1,333.0
1,246.3
86.7
6.5

1,336.9
1,247,2
89.7
6.7

1,339.3
1,247.4
91.9
6.9

3,028.0
2,864.3
163.7
5.4

3,032.7
2,861.9
170.8
5.6

3,034.4
2,860.2
174.2
5.7

3,037.1
2,858.2
178.8
5.9

3,036.6
2,858.4
178.2
5.9

3,035.6
2,857.5
178.1
5.9

482.2
460.8
21.3
4.4

482.5
461.2
21.3
4.4

484.1
462.7
21.3
4.4

485.0
463.6
21.3
4.4

483.9
462.6
21.3
4.4

982.8
946.3
36,5
3.7

984.9
947.7
37.2
3.8

986.7
949.8
36.8
3.7

986.9
950.2
36.7
3.7

1,173.2
1,120.3
52.9
4.5

1,174.4
1,122.2
52.2
4.4

1,177.1
1,125.6
51.5
4.4

722.2
693.3
28.9
4.0

722.6
694.4
28.3
3.9

4,389.4
4,164.1
225.4
5.1

Dec.

Jan.

Feb.

Mar,

Apr.P

5,086.9
4,727.
359.0
7.1

5,110.6
4,730.0
380.6
7.4

5,099.4
4,745,8
353.6
6.9

5,142.4
4.780J
361.7
7.0

2,966.3
2,831.0
135.3
4,6

2,963.5
2,834.4
129.1
4.4

2,967.4
2,842.8
124.6
4.2

2,970.4
2,840.0
130.4
4,4

2,970.5
2,851.7
118.8
4.0

1,340.7
1,248.3
92.5
6.9

1,337,3
1,248,3
89.0
6.7

1,345.3
1,250.0
95.2
7.1

1,343.4
1,251.9
91.5
6.8

1,343.7
1,249.5
94,1
7.0

1,343.3
1.252.1
91.2
6.8

3,036.5
2,859.3
177.2
5.8

3,041.8
2,864.0
177.8
5.8

3,040.3
2,866,5
173.9
5.7

3,024.2
2,842.0
182.2
6.0

3,024.2
2,849.7
174.4
5.8

3,016.9
2,844.0
172.9
5.7

3,023.6
2,854.6
169.0
5.6

484.1
462.7
21.3
4.4

485.5
464.2
21.3
4.4

487.7
466.4
21.3
4.4

488.0
466.8
21.3
4.4

487.9
466.5
21.4
4.4

488.7
466.5
22.2
4.5

490.2
467.6
22.7
4.6

490.6
469.1
21.5
4.4

987.2
949.8
37.5
3.8

987.8
949.9
37.9
3.8

987.7
950.4
37.3
3.8

987.4
950.5
36.8
3.7

988.0
950.4
37.6
3.8

983.9
944.8
39.0
4.0

990.9
952.5
38.4
3.9

990.1
950.9
39.2
4.0

988.9
950.3
38.6
3.9

1,179.3
1,128.5
50.8
4.3

1,180.1
1,130.1
50.1
4.2

1,183.3
1,133.9
49.4
4.2

1,186.2
1,137.4
48.7
4.1

1,188.0
1,139.9
48.1
4.0

1,190.0
1,142.5
47.5
4.0

1,194.8
1,147.6
47.1
3.9

1,202.4
1,155.3
47.2
3.9

1,207.9
1,160.5
47,4
3.9

1,217,3
1,168.8
48.4
4.0

723.1
695.4
27.8
3.8

723.7

723.8
697.3
26.4
3.7

724.0

724.2

27.3
3.8

25.7
3.5

25.0
3.5

724.7
700.1
24.6
3.4

725.5
700.9
24.5
3.4

726.6
701.6
25.0
3.4

727.2
699.6
27.7
3.8

729.6
702,5
27.1
3,7

733.8
708.7
25.1
3,4

4,384.5
4,169.9
214.6
4,9

4,387.7
4,176.9
210.8
4.8

4,394.2
4,181.4
212.8
4.8

4,395.7
4,186.9
208.8
4.8

4,391.9
4,189.1
202.8
4.6

4,392.3
4,194.8
197.5
4.5

4,392.4
4,201.0
191.4
4.4

4,389.6
4,203.6
186.0
4.2

4,390.1
4,217.9
172.2
3.9

4,398.5
4,205.6
192.8
4,4

4,396.3
4,207.7
188.5
4.3

4,413.5
4,230.2
183.2
4.2

910.4
857.9
52.5
5.8

910.8
858,6
52.2
5.7

911.0
859.0
52.0
5.7

912.2
860.4
51.8
5.7

912.6
861.0
51.6
5.7

914.4
862.9
51.5
5.6

916.9
865.5
51.3
5.6

918.3
867.1
51.2
5.6

919.5
868.4
51.1
5.6

922.0
873.5
48.5
5.3

930.0
877.7
52.4
5.6

935.2
880.0
55.2
5.9

942.0
885.2
56.8
6.0

9,337.1
8,779.3
557.8
6.0

9,339.3
8,795.1
544.2
5.8

9,357.1
8,808.8
548.3
5.9

9,359.4
8,823.4
536.0
5.7

9,361.1
8,833.5
527.6
5.6

9,368.6
8,845.6
523.0
5.6

9,368.5
8,856.7
511.8
5.5

9,372.7
8,865.1
507.6
5.4

9,392.8
8,871.4
521.4
5.6

9,357.3
8,887.8
469.4
5.0

9,386.3
8,907.9
478.4
5.1

9,331.8

9,410.2
8,953.2
457,0
4.9

Michigan
Civilian labor force .....
Employed
Unemployed
Unemployment rate Minnesota
Civilian labor force
Employed
Unemployed
Unemployment rate .
Mississippi
Civilian labor force
Employed
Unemployed
Unemployment rate .
Missouri
Civilian labor force
Employed
Unemployed
Unemployment rate .
Montana
Civilian labor force
Employed
Unemployed
Unemployment rate .
Nebraska
Civilian labor force
Employed
Unemployed
Unemployment rate .
Nevada
Civilian labor force
Employed
Unemployed
Unemployment rate .
New Hampshire
Civilian labor force
Employed
Unemployed
Unemployment rate .
New Jersey
Civilian labor force
Employed
Unemployed
Unemployment rate .
New Mexico
Civilian labor force
Employed
Unemployed
Unemployment rate ..
New York
Civilian labor force
Employed
Unemployed
Unemployment rate .

See footnotes at end of table.




164

432.2
4.6

STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

NOV.

Dec.

4,264.7
4,037.1
227.6

4,264.2
4,037.0
227.2

5.3

5.3

Jan.

Feb.

Mar.

Apr.P

North Carolina
4,284.5
4,069.4
215.1
5.0

4,281.5
4,050.0
231.5
5.4

4,286.1
4,065.3
220.8
5.2

4,301.9
4,073.0
228.9

356.6
344.6
11.9
3.3

356.2
344.5
11.7
3.3

356.0
344.5
11.5

3.6

354J
343.3
11.8
3.3

5,890.8
5,529.0
361.7
6.1

5,887.1
5,529.8
357.3
6.1

5,890.9
5,542.5
348.3
5.9

5,918.7
5,539.3
379.4
6.4

5,923.9
5,550.0
373.9
6.3

5,947.9
5,585.2
362.7
6.1

1,713.0
1,632.5
80.5
4.7

1,713.7
1,633.7
80.0
4.7

1,711.3
1,635.0
76.3
4.5

1,720.3
1,640.4
79.8
4.6

1,723.7
1,649.9
73.8
4.3

1,720.1
1,644.1
76.0
4.4

1,725.5
1,648.2
77.3

1,857.6
1,721.1
136.4

1,861.7
1,726.2
135.5

1,861,7
1,728.1
133.6

1,858.4
1,728.2
130.2

1,866.5
1,745.0
121.5

1,863.1
1,748.9
114.2

1,873.3
1,751.4
121.9

7.5

7.3

7.3

7.2

7.0

1,852.0
1,734.5
117.5
6.3

6.5

6.1

6.5

6,2811
5,932.9
348.2

6,282.8
5,929.9
352.9

6,300.4
5,949.0
351.5

6,308.8
5,954.4
354.4

6,320.2
5,965.1
355.1

6,325,7
5,968.2
357.5

6,333.5
6,000.2
333.3

6,336.0
5,993.2
342.8

6,329.2
6,016.8
312.4

5.5

5.5

5.6

5.6

5.6

5.6

5.7

6,337.6
6,013.5
324.1
5.1

5.3

5.4

4.9

563.4
533.6
29.7
5.3

562.9
533.6
29.4
5,2

563.1
534.9
29/3
5.1

561.9
533.4
28.6
5.1

561.9
533.8
28.1
5.0

561.8
534.1
27.6
4.9

561.0
533.8
27.2
4.8

560.1
533.4
26.7
4.8

558.5
533.9
24.6
4.4

561.7
536.9
24,8
4.4

564.0
538.7
25.4
4.5

567.6
541.0
26.6
4.7

2,037.4
1,901.0
136.5
6.7

2,040.3
1,903.2
137.1
6.7

2,046.3
1,905.5
140.8
6,9

2,047.3
1,907.7
139.6
6.3

2,051.3
1,910.0
141.3
6.9

2,055.3
1,912.2
143,1
7.0

2,057.2
1,914.4
142.7
6,9

2,061.3
1,916.7
144.7
7.0

2,061.6
1,918.9
142.7
6.9

2,072.0
1,927.9
144.1
70

2,076.1
1,928.4
147.7
7.1

2,070.7
1,931.0
139.7
6.7

2,072.5
1,937.4
135.1
65

. .....
..

427.0
412.5
14.5
34

427.5
412.4
15.0
3.5

427.9
412.8
15.1
35

428,2
413,1
15.1
3.5

428.5
413.5
15.0
3.5

428.7
413.6
15.1
35

429.3
414.1
15.2
3.5

429.5
414.6
14.8
35

430.1
415.1
15.1
3.5

429.7
414.2
15.S
36

430.3
414.4
15.9
3.7

429.9
413.9
16.1
37

430.4
414.4
15.9
37

Civilian labor force .. . . ...... .,
. ...
Employed ...............................................................
Unemployed
Unemployment rat©
, ,»

2,916.1
2,759.6
156.6
54

2,910.7
2,754.8
155.9
54

2,907.5
2,752.1
155.4
53

2,903.3
2,748.3
155.1
5.3

2,892.4
2,737.5
154.9
54

2,894.8
2,740.0
154.9
53

2,899.8
2,744.9
154.9
53

2,902.8
2,747.8
155.0
53

2,902.7
2,747.5
155.2
53

2,914.5
2,741.6
172.9
59

2,924.0
2,751.0
173.0
59

2,902.0
2,732.4
169.7
58

2,907.1
2,737.8
169.3
58

Civilian laborforee
11,005,5
Employed................................................................ 10,328.3
677.1
Unemployed
.
.
.
.
.
Unemployment rate ...
.......
.
.....
6.2

11,016.0
10,342.5
673.5
6.1

11,027.7
10,356,6
671,2
6.1

11,039.0
10,370.8
669,0
6.1

11,052.4
10,385.6
666.8
6.0

11,063.5
10,399.8
663.7
6.0

11,073.0
10,412.6
660.4
6.0

11,082.8
10,425.9
656.9
5.9

11,093.9
10,439.5
654.5
5.9

11,149.6
10,491.5
658.1
5.9

11,164.8
10,500.4
664.4
6.0

11,144.7
10,518.6
626.1
5.6

11,208.5
10,587.2
621.3
5.5

Civilian labor force
Emoloved
.
« . . .
UnemDloved . . . . . . . ............
......... ..
Unemployment rate , . . . . . . . . . . . . . . . . . . . .............

4,251.1
4,014.1
237.1
5.6

4,260.7
4,032.5
228.2
5.4

4,267.7
4,037.8
229.9

4,270.7
4,041.2
229.5

5.4

5.4

4,260.8
4,032.1
228.6
5.4

354.4
342.4
12.D
3,4

354.8
342.7
12.2

355.4
343.0
12.5

355,8
343.3
12.5

355.6
343.6
12.1

356.6
343.9
12.7

3.3

354.0
342.1
11.9
3.4

3.4

3.5

3.5

3.4

5,880.0
5,519.5
360.5
6.1

5,881.1
5,521.1
360.0
6.1

5,888.3
5,522.7
365.6
6.2

5,888.7
5,524.4
364.3
6,2

5,888.9
5,525.8
363.1
6.2

5,889.0
5,527.1
361.8
6.1

5,892.9
5,528.2
364.8
6.2

1,709.4
19624.5
84.9
5.0

1,708.9
1,625.9
83.0
4.9

1,713.8
1,627.2
86.6
5.1

1,700.3
1,628,3
807
4.7

1,708.3
1,629.9
78.4
4.6

1,711.6
1,631.2
80.4
4.7

1,854.9
1,718.0
136.9

1,854.7
1,717.6
137.1

1,857.0
1,718.5
138.4

1,858.4
1,720.7
137.7

1,857.8
1,719.1
138,8

7.4

7.4

7.5

7.4

6,256.8
5,916.4
340.4

6,266.9
5,923.5
343,4

6,258.3
5,912.7
345,6

54

5.5

563.3
533.3
30.0
5.3

4,254.2
4,011.9
242.3

4,250.2
4,013.0
237.2

5.7

5.6

352.7
341.5
11.3

353.5
341.8
11.8

32

5.3

North Dakota
Civilian laborforee
Employed
Unemployed
Unemolovment rate

..

...

3.2

Ohio
Civilian labor force
Employed
Unemployed
Unemployment rate ..» . . . . . . . , . .

..

. ,..

Oklahoma
Civilian labor force
Emoloved
Unemployed .
Unemployment rate

.

.

.

Civilian labor force
Employed.
Unemployed
Unemployment rate ..... .„

4.5

Pennsylvania
Civilian labor force
Employed
Unemployed
Unemployment rat©

. . .

,

.... ,

Rhode Island
Civilian labor force
Employed
Unemployed
Unemployment rate

..........
.. ..........

South Carolina
Civilian labor fore®
Employed
...... .
Unemployed
Unemployment rate

, ............
.... .....

South Dakota
Civilian labor force
Employed..............................
Unemployed
.,....... .
Unemployment rate
.
Tennessee

Texas

See footnotes at end of table.




165

STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
O 2 . Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004

2005

State
Apr.

May

June

July

Aug.

Sept.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Apr.P

1,189.9
1,136.9
62.9
5.2

1,201,9
1,138.6
63.3
5.3

1,203.8
1,140.1
63.7
5.3

1,204.9
1,141.5
63.4
5.3

1,206.0
1,142.9
63.0
5.2

1,206.6
1,144.3
62.3
5.2

1,207.7
1,145.7
62.0
5.1

1,208.1
1,147.1
61.1
5.1

1,208.6
1,148.2
60.4
50

1,209.5
1,150.6
58.9
4.9

1,220.0
1,161.1
58.9
4.8

1,224.3
1,165.2
59.1
4.8

1,233.7
1,173.1
60.6
4.9

353.4
340.0
13.3
3.8

352.9
340.3
12.6
3.6

353.0
340.5
12.5
3.5

353.4
340.9
12.5
3.5

353.5
340.8
12.7
3.6

353.5
341.1
12.4
3.5

353.4
341.3
12.1
3,4

354.0
341.9
12.1
3,4

354.7
342.0
12.7
3.6

353.1
340.8
12.2
3.5

353.3
340.8
12,5
3.5

352.7
340.8
11.9
3.4

352.3
340.7
11.6
3.3

3,806.0
3,665.3
140.8
3.7

3,811.2
3,668.6
142.5
3.7

3,816.6
3,673.4
143.2
3.8

3,821.0
3,679.3
141.8
3.7

3,823.4
3,680.8
142.6
3.7

3,822.6
3,684.9
137.7
3.6

3,831.4
3,693.3
138,1
3.6

3,831.7
3,695.5
136.2
3.6

3330.8
3,696.7
134.1
35

3,847.2
3,720.4
126.8
3.3

3,856.9
3,730.5
126.4
3.3

3,861.4
3,733.6
127,8
3.3

3,897,6
3,756.7
140.8
3.6

3,228.3
3,024.2
204.0
6.3

3,226.2
3,025.6
200.7
6.2

3,234.4
3,033.8
200.6
6.2

3,230.7
3,033.7
196.9
6.1

3,235.2
3,038.8
196.4
6.1

3,243.3
3,048.2
195.2
6.0

3,250,8
3,055.1
195.8
6.0

3,261.7
3,069.0
192.6
5.9

3,271.4
3,078.0
193.4
59

3,251.4
3,074.5
177.0
5.4

3,260.3
3,080.8
179.5
5.5

3,253.6
3,085.5
168.1
5.2

3,270.5
3,091,7
178.7
5.5

789.5
746.7
42.8
5.4

789.4
746.7
42.7
5.4

789,3
746.6
42.7
5.4

789.2
746.6
42.6
5.4

789.0
746.5
42.5
5.4

787.8
746.4
41.4
5.3

787.4
746.3
41.0
5.2

785.5
746,2
39.3
5.0

784.5
746.1
38.5
4.9

788.5
751.5
37,0
4.7

790.6
751.3
39.3
5.0

797.9
756.2
41.7
5.2

798.1
757.2
40.9
5.1

3,068.7
2,915.5
153.2
5.0

3,070.0
2,917.4
152.6
5.0

3,069.5
2,919.2
150.3
4.9

3,071.4
2,920.9
150.4
4.9

3,071.6
2,922.4
149.2
4.9

3,068.8
2,923.6
145.2
4.7

3,068.5
2,924.7
143.8
4.7

3,065.7
2,925.5
140.2
4.6

3,070.8
2,926.2
144.6
4.7

3,077.3
2,928.5
148.8
4.8

3,071.1
2,921.0
150.1
4.9

3,051.6
2,911,1
140.4
4,6

3,058.5
2,919.4
139.1
4.5

279J
269.7
10.0
3.6

281.0
270.2
10.8
3.8

281.8
270.6
11.2
4.0

282.4
271.1
11,3
4,0

283.1
271.5
11.6
4.1

284.2
271.9
12.2
4,3

284.4
272.3
12.1
4.2

284.0
272.8
11.2
3.9

283.8
273.2
10.6
3.7

274.1
9.8
3.4

283.2
274.8
8.3
2.9

283.4
274,6
8.9
3.1

283.8
274.0
9.8
3,5

1,362.0
1,214.2
147.8
10.9

1,356.7
1,211.3
145.4
10.7

1,362.6
1,226.8
135.7
10.0

1,365.2
1,229.8
135.3
9.9

1,383.0
1,237.7
145.3
10.5

1,393.0
1,257.4
135.6
9.7

1,385.7
1,243.8
141.9
10.2

1,381.7
1,234.7
147.0
10.6

1,387.1
1,234.8
152.3
11.0

1,383.8
1,230.3
153.6
11.1

1,360.3
1,229.8
130.5
9.6

1,378.3
1,225.1
153.3
11.1

1,366.9
1,213.1
153.7
11.2

Utah
Civilian labor force
Employed
Unemployed
,..
Unemployment rate .
Vermont
Civilian labor force
Employed
Unemployed
Unemployment rate .
Virginia
Civilian labor force
Employed
...
Unemployed
Unemployment rate
Washington
Civilian labor force
Employed
Unemployed
Unemployment rate .
West Virginia
Civilian labor force
Employed
Unemployed
Unemployment rate .
Wisconsin
Civilian labor force
..
Employed
Unemployed
Unemployment rate...
Wyoming
Civilian labor force
Employed
Unemployed
Unemployment rate .
Puerto Rico
Civilian labor force
Employed
Unemployed
Unemployment rate .

the latest month are revised the following month, and at least 3 years of estimates
are subject to revision at the er\6 of the year, to incorporate updated inputs and
reestimation.

P « 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




166

Explanatory Notes and Estimates of Error

Introduction
The statistics in this periodical are compiled from two
major sources: (1) household interviews, and (2) reports
from employers.
Data based on household interviews BXC obtained from
the Current Population Survey (CPS), a sample survey of
the population 16 years of age and over. The survey is conducted each month by the U.S. Census Bureau for the
Bureau of Labor Statistics and provides comprehensive data
on the labor force, the employed, and the unemployed, classified by such characteristics as age, sex, race, family relationship, marital status, occupation, and industry attachment.
The survey also provides data on the characteristics and past
work experience of those not in the labor force. The information is collected by trained interviewers from a sample
of about 60,000 households (beginning with July 2001 data)
located in 754 sample areas. These areas are chosen to represent all counties and independent cities in the United
States, with coverage in 50 States and the District of
Columbia. The data collected are based on the activity or
status reported for the calendar week including the 12th of
the month.
Data based on establishment records are compiled each
month through the use of touchtone data entry, computerassisted telephone interviewing, and electronic data interchange, or by mail, or fax, or on magnetic tape or computer
diskette. The Current Employment Statistics (CES) survey
is designed to provide industry information on nonfarm
wage and salary employment, average weekly hours, average hourly earnings, and average weekly earnings for the
Nation, States* and metropolitan areas. The employment,,
hours, and earnings series are based on payroll reports from
a sample that includes about 160,000 businesses and government agencies covering approximately 400,000 individual worksites. The sample is drawn from a sampling frame
of over 8 million unemployment insurance tax accounts.
The active CES sample includes approximately one-third
of all nonfarm payroll workers. The data relate to all workers, full or part time, who receive pay during the payroll
period that includes the 12th of the month.

tics, for example, are obtained only from the household survey, whereas detailed industrial classifications are much more
reliably derived from establishment reports.
Data from these two sources differ from each other
because of variations in definitions and coverage, source of
information, methods of collection, and estimating procedures. Sampling variability and response errors are additional reasons for discrepancies. The major factors that have
a differential effect on the levels and trends of the two data
series are as follows.

Employment
Coverage, The household survey definition of employment
comprises wage and salary workers (including domestics
and other private household workers), self-employed persons, and unpaid workers who worked 15 hours or more
during the reference week in family-operated enterprises.
Employment in both agricultural and nonagricultural industries is included. The payroll survey covers only wage
and salary employees on the payrolls of nonfarm establishments.
Multiple jobholding* The household survey provides
information on the work status of the population without
duplication, because each person is classified as employed,
unemployed, or not in the labor force. Employed persons
holding more than one job are counted only once. In the
figures based on establishment reports, persons who worked
in more than one establishment during the reporting period
are counted each time their names appear on payrolls.

RELATIONSHIP BETWEENTHE HOUSEHOLD
AND ESTABLISHMENT SERIES

Unpaid absences from jobs. The household survey includes
among the employed all civilians who had jobs but were
not at work during the reference week—that is, were not
working but had jobs from which they were temporarily
absent because of illness, vacation, bad weather, childcare
problems, or labor-management disputes, or because they
were taking time off for various other reasons, even if they
were not paid by their employers for the time off. In the
figures based on payroll reports, persons on leave paid for
by the company are included, but those on leave without
pay for the entire payroll period are not.

The household and establishment data complement one
another, each providing significant types of information that
the other cannot suitably supply. Population characteris-

The household survey measures hours worked for all workers, whereas the payroll survey measures hours for




Hours of work

167

private production or nonsupervisory workers paid for by
employers. In the household survey, all persons with a job
but not at work are excluded from the hours distributions
and the computations of average hours at work. In the payroll survey, production or nonsupervisory employees on paid
vacation, paid holiday, or paid sick leave are included and
assigned the number of hours for which they were paid
during the reporting period.
Earnings
The household survey measures the earnings of wage and
salary workers in all occupations and industries in both the
private and public sectors. Data refer to the usual earnings
received from the worker's sole or primary job. Data from
the establishment survey generally refer to average earnings of production and related workers in natural resources
and mining and manufacturing; construction workers in
construction; and nonsupervisory employees in private service-providing industries. For a comprehensive discussion
of the various earnings series available from the household
and establishment surveys, see BLS Measures of Compensation, Bulletin 2239 (Bureau of Labor Statistics, 1986).
COMPARABILITY OF HOUSEHOLD DATA
WITH OTHER SERIES
Unemployment insurance data. The unemployed total from
the household survey includes all persons who did not have
a job during the reference week, were currently available
for a job, and were looking for work or were waiting to be
called back to a job from which they had been laid off,
whether or not they were eligible for unemployment insurance. Figures on unemployment insurance claims, prepared
by the Employment and Training Administration of the U.S.
Department of Labor, exclude, in addition to otherwise ineligible persons who do not file claims for benefits, persons who have exhausted their benefit rights, new workers
who have not earned rights to unemployment insurance,
and persons losing jobs not covered by unemployment insurance systems (some workers in agriculture, domestic
services, and religious organizations, and self-employed and
unpaid family workers).
In addition, the qualifications for drawing unemployment
compensation differ from the definition of unemployment
used in the household survey. For example, persons with a
job but not at work and persons working only a few hours




during the week are sometimes eligible for unemployment
compensation but are classified as employed, rather than
unemployed, in the household survey.
Agricultural employment estimates of the US. Department
of Agriculture. The principal differences in coverage are
the inclusion of persons under 16 in the National Agricultural Statistics Service series and the treatment of dual jobholders, who are counted more than once if they work on
more than one farm during the reporting period. There also
are wide differences in sampling techniques and data collecting and estimating methods, which cannot be readily
measured in terms of their impact on differences in the levels and trends of the two series.
COMPARABILITY OF PAYROLL EMPLOYMENT
DATA WITH OTHER SERIES

Statistics on manufacturers and business, US. Census
Bureau. BLS establishment statistics on employment differ
from employment counts derived by the U.S. Census Bureau
from its censuses or sample surveys of manufacturing and
business establishments. The major reasons for noncomparability are different treatment of business units
considered parts of an establishment, such as central
administrative offices and auxiliary units; the industrial
classification of establishments; and different reporting
patterns by multiunit companies. There also are differences
in the scope of the industries covered—for example, the
Census of Business excludes professional services, public
utilities, and financial establishments, whereas these are
included in the BLS statistics.
County Business Patterns, US, Census Bureau. Data in
County Business Patterns (CBP) differ from BLS establishment statistics in the treatment of central administrative offices and auxiliary units. Differences also may arise because
of industrial classification and reporting practices. In addition, CBP excludes interstate railroads and most of government, and coverage is incomplete for some of the nonprofit
agencies.
Employment covered by State unemployment insurance programs. Most nonfarm wage and salary workers are covered
by the unemployment insurance programs. However, some
employees, such as those working in parochial schools and
churches, are not covered by unemployment insurance, whereas
they are included in the BLS establishment statistics.

168

Household Data
("A" tables, monthly; £'D" tables, quarterly)
Each employed person is counted only once, even if he or
she holds more than one job. For purposes of occupation and
industry classification, multiple jobholders are counted in
the job at which they worked the greatest number of hours
during the reference week.
Included in the total are employed citizens of foreign countries who are temporarily in the United States but not living
on the premises of an embassy. Excluded are persons whose
only activity consisted of work around their own house (painting, repairing, or own home housework) or volunteer work
for religious, charitable, and other organizations.

COLLECTION AND COVERAGE
Statistics on the employment status of the population and
related data are compiled by BLS using data from the Cmrent Population Survey (CPS). This monthly survey of households is conducted for BLS by the U.S. Census Bureau
through a scientifically selected sample designed to represent the civilian noninstitutional population. Respondents
are interviewed to obtain information about the employment
status of each member of the household 16 years of age and
older. The inquiry relates to activity or status during the
calendar week, Sunday through Saturday, that includes the
12th day of the month, IMs is known as the "reference week.1"
Actual field interviewing is conducted in the following week,
referred to as the "survey week."
Each month, about 60,000 occupied units are eligible for
interview. Some 4,500 of these households are contacted but
interviews are not obtained because the occupants are not at
home after repeated calls or are unavailable for other reasons. This represents a ooninterview rate for the survey that
ranges between 7 and 8 percent. In addition to the 60,000
occupied units, there are about 12,000 sample units in an
average month that are visited but found to be vacant or
otherwise not eligible for enumeration. Part of the sample is
changed each month. The rotation plan, as will be
explained later, provides for three-fourths of the sample to
be common from one month to the next, and one-half to be
common with the same month a year earlier.

Unemployed persons. All persons who had no employment
during the reference week, were available for work, except
for temporary illness, and had made specific efforts to find
employment sometime during the 4-week period ending with
the reference week. Persons who were waiting to be recalled
to a job from which they had been laid off need not have
been looking for work to be classified as unemployed.
Duration of unemployment. This represents the length of
time (through the current reference week) that persons classified as unemployed had been looking for work. For persons on layoff, duration of unemployment represents the
number of full weeks they had been on layoff. Mean duration is the arithmetic average computed from single weeks
of unemployment; median duration is the midpoint of a
distribution of weeks of unemployment.

CONCEPTS AND DEFINITIONS
The concepts and definitions underlying labor force data
have been modified, but not substantially altered, since the
inception of the survey in 1940; those in use as of January
1994 are as follows:
Civilian noninstitutional population. Included are persons
16 years of age and older residing in the 50 States and the
District of Columbia who are not inmates of institutions (for
example, penal and mental facilities, homes for the aged),
and who are not on active duty in the Armed Forces,
Employed persons. All persons who, during the reference
week, (a) did any work at all (at least 1 hour) as paid employees, worked in their own business, profession, or on their OWE
farm, or worked 15 hours or more as unpaid workers in an
enterprise operated by a member of the family, and (b) all those
who were not working but who had jobs or businesses from
which they were temporarily absent because of vacation, illness, bad weather, childcare problems, maternity or paternity
leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the
time off or were seeking other jobs.




169

Reason for unemployment. Unemployment also is categorized according to the status of individuals at the time they
began to look for work. The reasons for unemployment are
divided into five major groups: (1) Job losers, comprising
(a) persons on temporary layoff, who have been given a date
to return to work or who expect to return within 6 months
(persons on layoff need not be looking for work to qualify as
unemployed), and (b) permanent job losers, whose employment ended involuntarily and who began looking for work;
(2) Job leavers, persons who quit or otherwise terminated
their employment voluntarily and immediately began looking for work; (3) Persons who completed temporary jobs,
who began looking for work after the jobs ended; (4) Reentrants, persons who previously worked but who were out of
the labor force prior to beginning their job search; and (5)
New entrants, persons who had never worked. Each of these
five categories of the unemployed can be expressed as a
proportion of the entire civilian labor force; the sum of the
four rates thus equals the unemployment rate for all civilian
workers. (For statistical presentation purposes, "job losers"
and "persons who completed temporary jobs" are combined
into a single category until seasonal adjustments can be developed for the separate categories.)

Jobseekers. All unemployed persons who made specific
efforts to find a job sometime during the 4-week period preceding the survey week are classified as jobseekers. Jobseekers do not include persons classified as on temporary
layoff, who, although often looking for work, are not
required to do so to be classified as unemployed. Jobseekers
are grouped by the methods used to seek work. Only active
methods—which have the potential to result in a job offer
without further action on the part of the jobseeker—qualify
as job search. Examples include going to an employer
directly or to a public or private employment agency, seeking assistance from friends or relatives, placing or answering
ads, or using some other active method. Examples of the
"other" category include being on a union or professional
register, obtaining assistance from a community
organization, or waiting at a designated labor pickup point.
Passive methods, which do not qualify as job search, include
reading (as opposed to answering or placing) "help wanted"
ads and taking a job training course.
Labor force. This group comprises all persons classified as
employed or unemployed in accordance with the criteria
described above.

Multiple jobholders. These are employed persons who, during the reference week, either had two or more jobs as a wage
and salary worker, were self-employed and also held a wage
and salary job, or worked as an unpaid family worker and
also held a wage and salary job. Excluded are self-employed
persons with multiple businesses and persons with multiple
jobs as unpaid family workers.

Unemployment rate. The unemployment rate represents the
number unemployed as a percent of the labor force.
Participation rate. This represents the proportion of the population that is in the labor force.
Employment-population ratio. This represents the proportion of the population that is employed.

Hours of work. These statistics relate to the actual number of
hours worked during the reference week. For example, persons who normally work 40 hours a week but were off on the
Columbus Day holiday would be reported as working 32
hours, even though they were paid for the holiday. For persons working in more than one job, the published figures
relate to the number of hours worked in all jobs during the
week; all the hours are credited to the major job. Unpublished data are available for the hours worked in each job
and for usual hours.

Not in the laborforce. Included in this group are all persons
in the civilian noninstitutional population who are neither
employed nor unemployed. Information is collected on their
desire for and availability to take a job at the time of the CPS
interview, job search activity in the prior year, and reason for
not looking in the 4-week period prior to the survey week.
This group includes discouraged workers, defined as persons not in the labor force who want and are available for a
job and who have looked for work sometime in the past 12
months (or since the end of their last job if they held one
within the past 12 months), but who are not currently looking because they believe there are no jobs available or there
are none for which they would qualify.
Persons classified as not in the labor force who are in
the sample for either their fourth or eighth month are
asked additional questions relating to job history and
workseeking intentions. These latter data are available on a
quarterly basis.

At work part time for economic reasons. Sometimes referred to as involuntary part time, this category refers to individuals who gave an economic reason for working 1 to 34
hours during the reference week. Economic reasons include
slack work or unfavorable business conditions, inability to
find full-time work, and seasonal declines in demand. Those
who usually work part time must also indicate that they want
and are available for full-time work to be classified as on part
time for economic reasons.

Occupation, industry, and class of worker. This information
for the employed applies to the job held in the reference
week. Persons with two or more jobs are classified in the job
at which they worked the greatest number of hours. The
unemployed are classified according to their last job.
Beginning in 2003, the occupational and industrial
classification of CPS data is based on the 2002 Census
Bureau occupational and industrial classification systems



which are derived from the 2000 Standard Occupational
Classification (SOC) and the 2002 North American Industry
Classification System (NAICS). (See the following section
on historical comparability for a discussion of previous
classification systems used in the CPS.)
The class-of-worker breakdown assigns workers to the
following categories: Private and government wage and
salary workers, self-employed workers, and unpaid family
workers. Wage and salary workers receive wages, salary,
commissions, tips, or pay in kind from a private employer or
from a government unit. Self-employed persons are those
who work for profit or fees in their own business, profession,
trade, or farm. Only the unincorporated self-employed are
included in the self-employed category in the classof-worker typology. Self-employed persons who respond
that their businesses are incorporated are included among
wage and salary workers because, technically, they are
paid employees of a corporation. Unpaid family workers
are persons working without pay for 15 hours a week
or more on a farm or in a business operated by a member
of the household to whom they are related by birth or
marriage.

At work part time for noneconomic reasons. This group includes those persons who usually work part time and were at
work 1 to 34 hours during the reference week for a noneconomic reason. Noneconomic reasons include, for example:
Illness or other medical limitations, childcare problems or
other family or personal obligations, school or training, retirement or Social Security limits on earnings, and being in a
170

Usual weekly earnings. Data represent earnings before taxes
and other deductions, and include any overtime pay, commissions, or tips usually received (at the main job, in the case
of multiple jobholders). Earnings reported on a basis other
than weekly (for example, annual, monthly, hourly) are converted to weekly. The term "usual" is as perceived by the
respondent. If the respondent asks for a definition of usual,
interviewers are instructed to define the term as more than
half the weeks worked during the past 4 or 5 months. Data
refer to wage and salary workers (excluding all self-employed
persons regardless of whether their businesses were incorporated) who usually work full time on their sole or primary job.

job where full-time work is less than 35 hours. The group
also includes those who gave an economic reason for
usually working 1 to 34 hours but said they do not want
to work full time or 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 and
therefore classified in the zero-hours-worked category, "with
a job but not at work." These are persons who were absent
from their jobs for the entire week for such reasons as bad
weather, vacation, illness, or involvement in a labor dispute,
In order to differentiate a person's normal schedule from hhi
or her activity during the reference week, persons also are
classified according to their usual full- or part-time status. In
this context, full-time workers are those who usually worked
35 hours or more (at all jobs combined). This group will
include some individuals who worked less than 35 hours in
the reference week for either economic or noneconomic reasons and those who are temporarily absent from work. Similarly, part-time workers are those who usually work less than
35 hours per week (at all jobs), regardless of the number of
hours worked in the reference week. This may include some
individuals who actually worked more than 34 hours in the
reference week, as well as those who are temporarily absent
from work. The full-lime labor force includes all employed
persons who usually work full time and unemployed persons who are either looking for full-time work or are on layoff from full-time jobs. The part-time laborforce consists of
employed persons who usually work part time and unemployed persons who are seeking or are on layoff from parttime jobs. Unemployment rates for full- and part-time workers are calculated using the concepts of the full- and parttime labor force.

Median earnings. These figures indicate the value that
divides the earnings distribution into two equal parts, one
part having values above the median and the other having
values below the median. The medians shown in this publication are calculated by linear interpolation of the $50 centered interval within which each median falls. Data expressed
in constant dollars are deflated by the Consumer Price
Index for All Urban Consumers (CPI-U).
Never married; married, spouse present; and other marital
status. These are the terms used to define the marital status of
individuals at the time of interview. Married, spouse present,
applies to husband and wife if both were living in the same
household, even though one may be temporarily absent on
business, on vacation, on a visit, in a hospital, etc. Other marital
status applies to persons who are married, spouse absent; widowed; or divorced. Married, spouse absent relates to persons
who are separated due to marital problems, as well as to husbands and wives who are living apart because one or the other
was employed elsewhere or was on duty with the Armed Forces,
or for any other reasons.

White, black or African American, and Asian. These are
terms used to describe the race of persons. Persons in these
categories are those who selected that race group only.
Persons in the remaining race categories-—American Indian
or Alaska Native, Native Hawaiian or Other Pacific Islanders,
and persons who selected more than one race category—are
included in the estimates of total employment and
unemployment but are not shown separately because the
number of survey respondents is too small to develop
estimates of sufficient quality for monthly publication. In
the enumeration process, race is determined by the
household respondent. (See the following section on
historical comparability for a discussion of changes
beginning in 2003 that affected how people are classified
by race.)

Household. A household consists of all persons—related family members and all unrelated persons—who occupy a housing unit and have no other usual address. A house, an apartment, a group of rooms, or a single room is regarded as a
housing unit when occupied or intended for occupancy as
separate living quarters. A householder is the person (or one
of the persons) in whose name the housing unit is owned or
rented. The term is never applied to either husbands or wives
in married-couple families but relates only to persons in
families maintained by either men or women without a spouse.
Family. A family is defined as a group of two or more persons
residing together who are related by birth, marriage, or adoption; all such persons are considered as members of one family. Families are classified either as married-couple families
or as families maintained by women or men without spouses.
A family maintained by a woman or a man is one in which the
householder is either single, widowed, divorced, or married,
spouse absent.

Hispanic or Latino ethnicity. This refers to persons who
identified themselves in the enumeration process as being
Spanish, Hispanic, or Latino. Persons whose ethnicity is
identified as Hispanic or Latino may be of any race. (See
the following section on historical comparability for a
discussion of changes beginning in 2003 that affected how
people are classified by Hispanic or Latino ethnicity.)



HISTORICAL COMPARABILITY
Changes in concepts and methods
While current survey concepts and methods are very similar
171

to those introduced at the inception of the survey in 1940, a
number of changes have been made over the years to
improve the accuracy and usefulness of the data. Some of
the most important changes include:
• In 1945, the questionnaire was radically changed with
the introduction of four basic employment questions. Prior
to that time, the survey did not contain specific question
wording, but, rather, relied on a complicated scheme of
activity prioritization.
• In 1953, the current 4-8-4 rotation system was adopted,
whereby households are interviewed for 4 consecutive
months, leave the sample for 8 months, and then return to the
sample for the same 4 months of the following year. Before
this system was introduced, households were interviewed
for 6 consecutive months and then replaced. The new system
provided some year-to-year overlap in the sample, thereby
improving measurement over time.
• In 1955, the survey reference week was changed to the
calendar week including the 12th day of the month, for greater
consistency with the reference period used for other labor-related statistics. Previously, the calendar week containing the
8th day of the month had been used as the reference week.
• In 1957, the employment definition was modified slightly
as a result of a comprehensive interagency review of labor
force concepts and methods. Two relatively small groups of
persons classified as employed, under "with a job but not at
work," were assigned to different classifications. Persons on
layoff with definite instructions to return to work within 30
days of the layoff date, and persons volunteering that they
were waiting to start a new wage and salary job within 30 days
of interview, were, for the most part, reassigned to the unemployed classification. The only exception was the small subgroup in school during the reference week but waiting to start
new jobs, which was transferred to not in the labor force.

d) The lower age limit for official statistics on employment, unemployment, and other labor force concepts was
raised from 14 to 16 years. Historical data for most major
series have been revised to provide consistent information
based on the new minimum age limit.
e) New questions were added to obtain additional information on persons not in the labor force, including those
referred to as "discouraged workers " defined as persons who
indicate that they want a job but are not currently looking
because they believe there are no jobs available or none for
which they would qualify.
f) New "probing" questions were added to the questionnaire in order to increase the reliability of information on
hours of work, duration of unemployment, and self-employment.
• In 1994, major changes to the Current Population Survey (CPS) were introduced, which included a complete redesign of the questionnaire and the use of computer-assisted
interviewing for the entire survey. In addition, there were
revisions to some of the labor force concepts and definitions, including the implementation of some changes recommended in 1979 by the National Commission on Employment and Unemployment Statistics (NCEUS, also
known as the Levitan Commission). Some of the major
changes to the survey were:
a) The introduction of a redesigned and automated questionnaire. The CPS questionnaire was totally redesigned in
order to obtain more accurate, comprehensive, and relevant
information, and to take advantage of state-of-the-art computer interviewing techniques.
b) The addition of two, more objective, criteria to the
definition of discouraged workers. Prior to 1994, to be classified as a discouraged worker, a person must have wanted a
job and been reported as not currently looking because of a
belief that no jobs were available or that there were none for
which he or she would qualify. Beginning in 1994, persons
classified as discouraged must also have looked for a job
within the past year (or since their last job, if they worked
during the year), and must have been available for work
during the reference week (a direct question on availability
was added in 1994; prior to 1994, availability had been
inferred from responses to other questions). These changes
were made because the NCEUS and others felt that the previous definition of discouraged workers was too subjective,
relying mainly on an individual's stated desire for a job and
not on prior testing of the labor market.

•

In 1967, more substantive changes were made as a result of the recommendations of the President's Committee
to Appraise Employment and Unemployment Statistics (the
Gordon Committee). The principal improvements were as
follows:
a) A 4-week job search period and specific questions on
jobseeking activity were introduced. Previously, the questionnaire was ambiguous as to the period for jobseeking,
and there were no specific questions concerning job search
methods.
b) An availability test was introduced whereby a person
must be currently available for work in order to be classified
as unemployed. Previously, there was no such requirement.
This revision to the concept mainly affected students, who,
for example, may begin to look for summer jobs in the spring
although they will not be available until June or July. Such
persons, until 1967, had been classified as unemployed but
since have been assigned to the "not in the labor force"
category.



c) Persons "with a job but not at work" because of strikes,
bad weather, etc., who volunteered that they were looking
for work were shifted from unemployed status to employed.

c) Similarly, the identification of persons employed part
time for economic reasons (working less than 35 hours in the
reference week because of poor business conditions or because of an inability to find foil-time work) was tightened
172

• In March 1973, a subsequent population adjustment based
on the 1970 census was introduced. This adjustment, which
affected the white and black-and-other groups but had little
effect on totals, resulted in the reduction of nearly 300,000
in the white population and an increase of the same magnitude
in the black-and-other population. Civilian labor force and
total employment figures were affected to a lesser degree; the
white labor force was reduced by 150,000, and the blackand-other labor force rose by about 210,000. Unemployment
levels and rates were not significantly affected.

by adding two new criteria for persons who usually work
part time: They must want and be available for full-time
work. Previously, such information was inferred. (Persons
who usually work full time but worked part time for an economic reason during the reference week are assumed to meet
these criteria,)
d) Specific questions were added about the expectation of
recall for persons who indicate that they are on layoff. To be
classified as "on temporary layoff," persons must expect to be
recalled to their jobs. Previously, the questionnaire did not
include explicit questions about the expectation of recall.

• Beginning in January 1974, the method used to prepare independent estimates of the civilian noninstitutional
population was modified to an "inflation-deflation" approach. This change in the derivation of the estimates had
its greatest impact on estimates of 20- to 24-year-old men—
particularly those in the black-and-other population—but
had little effect on estimates of the total population 16 years
and over. Additional information on the adjustment procedure appears in "CPS Population Controls Derived from Inflation-Deflation Method of Estimation," in the February
1974 issue of this publication.

e) Persons volunteering that they were waiting to start a
new job within 30 days must have looked for work in the 4
weeks prior to the survey in order to be classified as unemployed. Previously, such persons did not have to meet the
job search requirement in order to be included among the
unemployed.
For additional information on changes in CPS concepts
and methods, see "The Current Population Survey: Design
and Methodology," Technical Paper 63RV (Washington, U.S.
Census Bureau and Bureau of Labor Statistics, March 2002)..
available on the Internet at www.bls.census.gov/cps/tpy
tp63,htm; "Overhauling the Current Population S u r v e y Why is it Necessary to Change?," "Redesigning the Questionnaire/9 and "Evaluating Changes in the Estimates/'
Monthly Labor Review, September 1993; and "Revisions in
the Current Population Survey Effective January 1994/' in
the February 1994 issue of this publication.

• Effective in July 1975, as a result of the large inflow of
Vietnamese refugees to the United States, the total and blackand-other independent population controls for persons 16
years and over were adjusted upward by 76,000—30,000
men and 46,000 women. The addition of the refugees increased the black-and-other population by less than 1 percent in any age-sex group, with all of the changes being
confined to the "other" component of the population.

Noocomparability of labor force levels

•

In addition to the refinements in concepts, definitions, and
methods made over the years, other changes also have affected the comparability of the labor force data,

Beginning in January 1978, the introduction of an
expansion in the sample and revisions in the estimation
procedures resulted in an increase of about 250,000 in the
civilian labor force and employment totals; unemployment
levels and rates were essentially unchanged. An explanation
of the procedural changes and an indication of the differences
appear in "Revisions in the Current Population Survey in
January 1978" in the February 1978 issue of this publication.

#

Beginning in 1953, as a result of introducing data from
the 1950 census into the estimating procedures, popula
tion levels were raised by about 600,000; labor force,,
total employment, and agricultural employment were
increased by about 350,000, primarily affecting the figures for
totals and for men; other categories were relatively
unaffected.

• Beginning in October 1978, the race of the individual
was determined by the household respondent for the
incoming rotation group households, rather than by the
interviewer as before. Tlie purpose of this change was to
provide more accurate estimates of characteristics by race.
Thus, in October 1978, one-eighth of the sample households
had race determined by the household respondent and seveneighths of the sample households had race determined by
interviewer observation. It was not until January 1980 that
the entire sample had race determined by the household
respondent. The new procedure had no significant effect on
the estimates.

# Beginning in 1960, the inclusion of Alaska and Hawaii
resulted in increases of about 500,000 in the population
and about 300,000 in the labor force. Four-fifths of the
labor force increase was in nonagricultural employment;
other labor force categories were not appreciably affected.
#

Beginning in 1962, the introduction of data from the
1960 census reduced the population by about 50,000 and
labor force and employment by about 200,000; unemploy»
ment totals were virtually unchanged.
#

Beginning in 1972, information from the 1970 census
was introduced into the estimation procedures, increasing
the population by about 800,000; labor force and employment totals were raised by a little more than 300,000;
unemployment levels and rates were essentially unchanged,



• Beginning in January 1979, the first-stage ratio adjustment method was changed in the CPS estimation procedure.
Differences between the old and new procedures existed only
for metropolitan and nonmetropolitan area estimates, not
for the total United States. The reasoning behind the change
1.73

and an indication of the differences appear in "Revisions in
the Current Population Survey in January 1979" in the February 1979 issue of this publication.
• Beginning in January 1982, the second-stage ratio adjustment method was changed. The rationale for the change
and an indication of its effect on national estimates of labor
force characteristics appear in "Revisions in the Current Population Survey Beginning in January 1982" in the February
1982 issue of this publication. In addition, current population estimates used in the second-stage estimation procedure were derived from information obtained from the 1980
census, rather than the 1970 census. This change caused
substantial increases in the total population and in the estimates of persons in all labor force categories. Rates for labor
force characteristics, however, remained virtually unchanged.
Some 30,000 labor force series were adjusted back to 1970
to avoid major breaks in series. The adjustment procedure
used also is described in the February 1982
article cited above. The revisions did not, however, smooth
out the breaks in series occurring between 1972 and 1979
(described above), and data users should consider them when
comparing estimates from different periods.
• Beginning in January 1983, the first-stage ratio adjustment method was updated to incorporate data from the 1980
census. The rationale for the change and an indication of its
effect on national estimates for labor force characteristics
appear in "Revisions in the Current Population Survey
Beginning in January 1983" in the February 1983 issue of
this publication. There were only slight differences between
the old and new procedures in estimates of levels for the
various labor force characteristics and virtually no differences in estimates of participation rates.
• Beginning in January 1985, most of the steps of the
CPS estimation procedure—the noninterview adjustment,
the first- and second-stage ratio adjustments, and the composite estimator—were revised. These procedures are described in the Estimating Methods section, A description of
the changes and an indication of their effect on national
estimates of labor force characteristics appear in "Changes
in the Estimation Procedure in the Current Population Survey Beginning in January 1985" in the February 1985 issue
of this publication. Overall, the revisions had only a slight
effect on most estimates. The greatest impact was on estimates of persons of Hispanic origin. Major estimates were
revised back to January 1980.

• Beginning in August 1989, the second-stage ratio estimation procedures were changed slightly to decrease the
chance of very small cells occurring and to be more consistent with published age, sex, race cells. This change had
virtually no effect on national estimates.
• Beginning in January 1994, 1990 census-based population controls, adjusted for the estimated undercount, were
introduced into the second-stage estimation procedure. This
change resulted in substantial increases in total population
and in all major labor force categories. Effective February
1996, these controls were introduced into the estimates for
1990-93. Under the new population controls, the civilian
noninstitutional population for 1990 increased by about 1.1
million, employment by about 880,000, and unemployment
by approximately 175,000. The overall unemployment rate
rose by about 0.1 percentage point. For further information,
see "Revisions in the Current Population Survey Effective
January 1994," and "Revisions in Household Survey Data
Effective February 1996" in the February 1994 and March
1996 issues, respectively, of this publication.
Additionally, for the period January through May 1994,
the composite estimation procedure was suspended for technical and logistical reasons.
• Beginning in January 1997, the population controls
used in the second-stage ratio adjustment method were revised to reflect updated information on the demographic characteristics of immigrants to, and emigrants from, the United
States. As a result, the civilian noninstitutional population
16 years and over was raised by about 470,000. The labor
force and employment levels were increased by about
320,000 and 290,000, respectively. The Hispanic-origin
population and labor force estimates were raised by about
450,000 and 250,000, respectively, and Hispanic employment was increased by 325,000. Overall and subgroup unemployment rates and other percentages of labor market participation were not affected. An explanation of the changes
and an indication of their effect on national labor force estimates appear in "Revisions in the Current Population Survey Effective January 1997" in the Februaiy 1997 issue of
this publication.

• Beginning in January 1986, the population controls used
in the second-stage ratio adjustment method were revised to
reflect an explicit estimate of the number of undocumented
immigrants (largely Hispanic) since 1980 and an improved
estimate of the number of emigrants among legal foreign-born
residents for the same period. As a result, the total civilian
population and labor force estimates were raised by nearly
400,000; civilian employment was increased by about
350,000. The Hispanic-origin population and labor force estimates were raised by about 425,000 and 305,000, respectively,



and Hispanic employment was increased by 270,000. Overall
and subgroup unemployment levels and rates were not significantly affected. Because of the magnitude of the adjustments
for Hispanics, data were revised back to January 1980 to the
extent possible. An explanation of the changes and an indication of their effect on estimates of labor force characteristics
appear in "Changes in the Estimation Procedure in the Current
Population Survey Beginning in January 1986" in the February 1986 issue of this publication.

• Beginning in January 1998, new composite estimation
procedures and minor revisions in the population controls
were introduced into the household survey. The new composite estimation procedures simplify processing of the
monthly labor force data at BLS, allow users of the survey

174

2002, the civilian population and labor force were 3.8 and
2.5 million, respectively, higher than originally estimated.
In addition to these revisions, the U.S. Census Bureau
introduced another large upward adjustment to the
population controls as part of its annual update of population estimates for 2003. The entire amount of this adjustment was added to the labor force data in January 2003
resulting in increases of 941,000 to the civilian
noninstitutional population and 614,000 to the civilian
labor force. The unemployment rate and other ratios were
not substantially affected by either of these population
control adjustments.

microdata to more easily replicate the official estimates
released by BLS, and increase the reliability of the employment and labor force estimates. The new procedures also produce somewhat lower estimates of the civilian labor force
and employment and slightly higher estimates of unemployment. For example, based on 1997 annual average data, the
differences resulting from the use of old and new composite
weights were as follows: Civilian labor force (-229,000), total
employed («256,000)? and total unemployed (+27,000).
Unemployment rates were not significantly affected.
Also beginning in January 1998, the population controls
used in the survey were revised to reflect new estimates of legal
immigration to the United States and a change in the method
for projecting the emigration of foreign-bom legal residents-.
As a result, the Hispanic-origin population was raised by about
57,000; however, the total civilian noninstitutional population 16 years and over was essentially unchanged. More detailed information on these changes and their effect on the
estimates of labor force change and composition appear in
"Revisions in the Current Population Survey Effective January 1998 " in the February 1998 issue of this publication.
#

Beginning in January 19999 the population controls used
in the survey were revised toreflectnewly updated information
on immigration. As a result, the civilian noninstitutional
population 16 years and over was raised by about 310,000.
The impact of the changes varied for different
demographic groups. The civilian noninstitutional population
for men 16 years and over was lowered by about 185?000, while
that for women was increased by about 490s000. The Hispanicorigin population was lowered by about 165?000 while that of
persons of non-Hispanic origin was raised by about 470,000.
Overall labor force and employment levels were increased by
about 60,000 each, while the Hispanic labor force and
employment estimates were reduced by about 225,000 and
215,000, respectively. The changes had only a small impact on
overall and subgroup unemployment rates and other
percentages of labor market participation. An explanation of
the changes and an indication of their effect on national labor
force estimates appear in ^'Revisions in the Current Population
Survey Effective January 1999" in the February 1999 issue of
this publication.
#

Beginning in January 2003, several major changes were
introduced into the CPS. These changes included:
a) Population controls that reflected the results of Census
2000 were introduced into the monthly CPS estimation
process. These new population controls substantially
increased the size of the civilian noninstitutional population
and the civilian labor force. Data from January 2000 through
December 2002 were revised to reflect the higher population
estimates from Census 2000 and the higher rates of
population growth since the census. At the start of the
revision period (January 2000), the new controls raised the
civilian noninstitutional population and the civilian labor
force by 2.6 and 1.6 million, respectively. By December



175

b) The modification of the questions on race and Hispanic
origin to comply with new standards for maintaining,
collecting, and presenting Federal data on race and ethnicity
for Federal statistical agencies. In accordance with the new
standards, the following changes were made to the CPS
questions: 1) Individuals were now asked whether they are
of Hispanic ethnicity before being asked about their race.
Prior to 2003, individuals were asked their ethnic origin
after they were asked about their race. 2) Individuals were
now asked directly if they are Spanish, Hispanic, or Latino.
Previously, individuals were identified as Hispanic based
on their, or their ancestors', country of origin. 3) With respect
to race, the response category of Asian and Pacific Islanders
was split into two categories: a) Asian and b) Native Hawaiian
or Other Pacific Islanders. 4) Individuals were allowed to
choose more than one race category. Prior to 2003,
individuals who considered themselves to belong to more
than one race were required to select a single primary race.
5) The questions were reworded to indicate that individuals
could select more than one race category and to convey
more clearly that individuals should report their own
perception of what their race is. These changes had no impact
on the overall civilian noninstitutional population and
civilian labor force but did reduce the population and labor
force levels of whites, blacks or African Americans, and
Asians beginning in January 2003. For whites and blacks,
the differences resulted from the exclusion of individuals
who reported more than one race from those groups. For
Asians, the difference resulted from the same restriction as
well as the split of the old Asian and Pacific Islander category
into two separate categories. Analysis of data from a special
CPS supplement conducted in May 2002 indicated that these
changes reduced the population and labor force levels for
whites by about 950,000 and 730,000, respectively, and for
blacks and African Americans by about 320,000 and 240,000,
respectively, while having little or no impact on their
unemployment rates. For Asians, the changes had the effect
of reducing the their population by about 1.1 million and
their labor force by about 720,000, but did not have a
statistically significant effect on their unemployment rate.
The changes did not affect the size of the Hispanic or Latino
population and had no significant impact on the size of
their labor force, but did cause an increase of about half a
percentage point in their unemployment rate.

c) Improvements were introduced to both the secondstage and composite weighting procedures. These changes
adapted the weighting procedures to the new race/ethnic
classification system and enhanced the stability over time
of national and State/substate labor force estimates for
demographic groups.
More detailed information on these changes and an
indication of their effect on national labor force estimates
appear in "Revisions to the Current Population Survey
Effective in January 2003" in the February 2003 issue of
this publication available on the Internet at http://
www.Ws.gov/cps/rvcpsO3.pdf.
• Beginning in January 2004, the population controls
used in the survey were updated to reflect revised estimates
of net international migration for 2000 through 2003. The
updated controls resulted in a decrease of 560,000 in the
estimated size of the civilian noninstitutional population
16 years of age and over for December 2003. The civilian
labor force and employment levels decreased by 437,000
and 409,000, respectively. The Hispanic or Latino population and labor force estimates declined by 583,000 and
446,000, respectively and Hispanic or Latino employment
was lowered by 421,000. The updated controls had little or
no effect on overall and subgroup unemployment rates and
measures of labor market participation. More detailed
information on the effect of the updated controls on
national labor force estimates appears in "Adjustments to
Household Survey Population Estimates in January 2004"
in the February 2004 issue of this publication available on
the Internet at http://www.bls.gov/cps/cpsO4adj.pdf.
• Beginning in January 2005, the population controls used
in the survey were adjusted to reflect revised estimates of
net international migration and updated vital statistics
information. The updated controls resulted in a decrease of
8,000 in the estimated size of the civilian noninstitutional
population 16 years of age and over for December 2004. The
civilian labor force and employment levels decreased by
49,000 and 45,000, respectively. The updated controls had
no effect on overall and subgroup unemployment rates and
measures of labor market participation such the labor force
participation rate and the employment-population ratio. More
detailed information on the effect of the updated controls on
national labor estimates appears in "Adjustments to
Household Survey Population Estimates in January 2005" in
the February 2005 issue of this publication available on the
Internet at http://www.bls.gov/cps/cpsO5adj.pdf.

Changes in the occupational and industrial
classification systems
Beginning in 1971, the comparability of occupational
employment data was affected as a result of changes in the
occupational classification system for the 1970 census that
were introduced into the CPS. Comparability was further
affected in December 1971, when a question relating to
major activity or duties was added to the monthly CPS ques


176

tionnaire in oider to more precisely determine the occupational
classification of individuals. As a result of these changes, meaningful comparisons of occupational employment levels could
not be made between 1971-72 and prior years nor between
those 2 years. Unemployment rates were not significantly
affected. For a further explanation of the changes in the occupational classification system, see"Revisions in Occupational
Classifications for 1971" and "Revisions in the Current Population Survey" in the February 1971 and February 1972 issues,
respectively, of this publication.
Beginning in January 1983, the occupational and industrial
classification systems used in the 1980 census were introduced
into the CPS. The 1980 census occupational classification
system evolved from the Standard Occupational Classification
(SOC) system and was so radically different in concepts and
nomenclature from the 1970 system that comparisons of
historical data are not possible without major adjustments. For
example, the 1980 major group "sales occupations" is
substantially larger than die 1970 category "sales workers."
Major additions include "cashiers"from"clerical workers" and
some self-employed proprietors in retail trade establishments
from "managers and administrators, except farm "
The industrial classification system used In the 1980 census was based on the 1972 Standard Industrial Classification
(SIC) system, as modified in 1977. The adoption of the new
system had much less of an adverse effect on historical comparability than did the new occupational system. The most
notable changes from the 1970 system were the transfer of
farm equipment stores from "retail" to "wholesale" trade and
of postal service from "public administration" to "transportation," and some interchange between "professional and
related services" and "public administration" Additional information on the 1980 census occupational and industrial
classification systems appears in "Revisions in the Current
Population Survey Beginning in January 1983" in the February 1983 issue of this publication.
Beginning in January 1992, the occupational and industrial classification systems used in the 1990 census were introduced into the CPS. (These systems were based largely on the
1980 Standard Occupational Classification (SOC) and 1987
Standard Industrial Classification (SIC) systems, respectively.)
There were a few breaks in comparability between the 1980
and 1990 census-based systems, particularly within the "technical, sales, and administrative support" categories. The most
notable changes in industry classification were the shift of
several industries from "business services" to "professional
services" and the splitting of some industries into smaller,
more detailed categories. A number of industry titles were
changed as well, with no change in content
Beginning in January 2003, the 2002 Census Bureau
occupational and industrial classification systems were
introduced into the CPS. These systems were derived from
the 2000 Standard Occupational Classification (SOC) and
the 2002 North American Industry Classification System
(NAICS). The composition of detailed occupational and
industrial classifications in the new classification systems

York City and the Los Angeles-Long Beach metropolitan
area. In 1996, the original sample design reliability criteria
were modified to reduce costs. In July 2001, the CPS sample
was expanded to support the State Children's Health Insurance Program. For further information on the sample expansion, see "Expansion of the Current Population Survey
Sample Effective July 2001" in the August 2001 issue of
this publication. The current criteria, given below, are based
on the coefficient of variation (CV) of the unemployment
level, where the CV is defined as the standard error of the
estimate divided by the estimate, expressed as a percentage.
These CV controls assume a 6-percent unemployment rate
to establish a consistent specification of sampling error.
The current sample design, introduced in July 2001, includes about 72,000 "assigned" housing units from 754
sample areas. Sufficient sample is allocated to maintain, at
most, a 1.9-percent CV on national monthly estimates of
unemployment level, assuming a 6-percent unemployment
rate. This translates into a change of 0.2 percentage point in
the unemployment rate being significant at a 90-percent
confidence level. For each of the 50 States and for the District of Columbia, the design maintains a CV of at most 8
percent on the annual average estimate of unemployment
level, assuming a 6-percent unemployment rate. About
60,000 housing units are required in order to meet the
national and State reliability criteria. Due to the national
reliability criterion, estimates for several large States are
substantially more reliable than the State design criterion
requires. Annual average unemployment estimates for California, Florida, New York, and Texas, for example, carry a
CV of less than 4 percent. In support of the State Children's
Health Insurance Program, about 12,000 additional housing units are allocated to the District of Columbia and 31
States. (These are generally the States with the smallest
samples after the 60,000 housing units are allocated to satisfy the national and State reliability criteria.)

was substantially changed from the previous systems in use
as was the structure for aggregating them into broad groups.
Consequently, the use of the new classification systems
created breaks in existing data series at all levels of
aggregation. Additional information on the 2002 Census
Bureau occupational and industrial classification systems
appears in "Revisions to the Current Population Survey
Effective in January 2003" in the February 2003 issue,
of this publication available on the Internet at http://
www,bls.gov/eps/rvcps03,pdf.

Sampling
Since the inception of the survey, there have been various
changes in the design of the CPS sample. The sample tradi
tionally is redesigned and a new sample selected after each
decennial census. Also, the number of sample areas and the
number of sample persons are changed occasionally. Most
of these changes are made to improve the efficiency of the
sample design, increase the reliability of the sample estimates, or control cost.
Changes in this regard since 1960 are as follows: When
Alaska and Hawaii received statehood in 1959 and I960,
respectively, three sample areas were added to the existing
sample to account for the population of these States. In Janm
ary 1978, a supplemental sample of 9,000 housing units,
selected in 24 States and the District of Columbia, was designed to provide more reliable annual average estimates for
States. In October 1978, a coverage improvement sample of
approximately 450 sample household units representing
237,000 occupied mobile homes and 600,000 new construe
tion housing units was added. In January 1980, another
supplemental sample of 9,000 households selected in 32,
States and the District of Columbia was added* A sample
reduction of about 6,000 units was implemented in May 198 L
In January 1982, the sample was expanded by 100 households to provide additional coverage in counties added to
the Standard Metropolitan Statistical Areas (SMSAs), which
were redefined in 1973, In January 1985, a new State-based
CPS sample was selected based on 1980 census
information, A sample reduction of about 4,000 households
was implemented in April 1988; the households were reinstated during the 8-month period, April-November 1989. A
redesigned CPS sample based on the 1990 decennial census
was selected for use during the 1990s. Households from this
new sample were phased into the CPS between April 1994
and July 1995. The July 1995 sample was the first monthly
sample based entirely on the 1990 census. For further information on the 1990 sample redesign, see "Redesign of the
Sample for the Current Population Survey" in the May 1994
issue of this publication.
The original 1990 census-based sample design included
about 66,000 housing units per month located in 792
selected geographic areas called primary sampling units
(PSUs). The sample initially was selected to meet specific:
reliability criteria for the Nation, for each of the 50 States and!
the District of Columbia, and for the substate areas of New



In the first stage of sampling, the 754 sample areas are
chosen. In the second stage, ultimate sampling unit clusters composed of about four housing units each are selected.
Each month, about 72,000 housing units are assigned for
data collection, of which about 60,000 are occupied and
thus eligible for interview. The remainder are units found to
be destroyed, vacant, converted to nonresidential use, containing persons whose usual place of residence is elsewhere,
or ineligible for other reasons. Of the 60,000 housing units,
about 7.5 percent are not interviewed in a given month due
to temporary absence (vacation, etc.), other failures to make
contact after repeated attempts, inability of persons contacted to respond, unavailability for other reasons, and refusals to cooperate (about half of the noninterviews). Information is obtained each month for about 112,000 persons
16 years of age or older.
Selection of sample areas. The entire area of the United
States, consisting of 3,141 counties and independent cities,
is divided into 2,007 sample units (PSUs). In most States, a
177

PSU consists of a county or a number of contiguous counties. In New England and Hawaii, minor civil divisions are
used instead of counties.
Metropolitan areas within a State are used as a basis for
forming PSUs. Outside of metropolitan areas, counties
normally are combined except when the geographic area of
an individual county is too large. Combining counties to
form PSUs provides greater heterogeneity; a typical PSU
includes urban and rural residents of both high and low
economic levels and encompasses, to the extent feasible,
diverse occupations and industries. Another important
consideration is that the PSU be sufficiently compact so
that, with a small sample spread throughout, it can be
efficiently canvassed without undue travel cost.
The 2,007 PSUs are grouped into strata within each State.
Then, one PSU is selected from each stratum with the probability of selection proportional to the population of the
PSU. Nationally, there are a total of 428 PSUs in strata by
themselves. These strata are self-representing and are generally the most populous PSUs in each State. The 326 remaining strata are formed by combining PSUs that are similar in such characteristics as unemployment, proportion of
housing units with three or more persons, number of persons employed in various industries, and average monthly
wages for various industries. The single PSU randomly selected from each of these strata is nonself-representing because it represents not only itself but the entire stratum. The
probability of selecting a particular PSU in a nonself-representing stratum is proportional to its 1990 population. For
example, within a stratum, the chance that a PSU with a
population of 50,000 would be selected for the sample is
twice that for a PSU having a population of 25,000.
Selection of sample households. Because the sample design is
State based, the sampling ratio differs by State and depends on
State population size as well as both national and State reliability requirements. The State sampling ratios range roughly
from 1 in every 100 households to 1 in every 3,000 households. The sampling ratio occasionally is modified slightly to
hold the size of the sample relatively constant given the overall growth of the population. The sampling ratio used within a
sample PSU depends on the probability of selection of the
PSU and the sampling ratio for the State. In a sample PSU with
a probability of selection of 1 in 10 and a State sampling ratio
of 3,000, a within-PSU sampling ratio of 1 in 300 achieves the
desired ratio of 1 in 3,000 for the stratum.
The 1990 within-PSU sample design was developed using block-level data from the 1990 census. (The 1990 census was the first decennial census that produced data at the
block level for the entire country.) Normally, census blocks
are bounded by streets and other prominent physical features such as rivers or railroad tracks. County, minor civil
division, and census place limits also serve as block boundaries. In cities, blocks can be bounded by four streets and be
quite small in land area. In rural areas, blocks can be several
square miles in size.
For the purpose of sample selection, census blocks were



grouped into three strata: Unit, group quarters, and area.
(Occasionally, units within a block were split between the
unit and group-quarters strata.) The unit stratum contained
regular housing units with addresses that were easy to locate
(for example, most single-family homes, townhouses, condominiums, apartment units, and mobile homes). The groupquarters stratum contained housing units in which residents
shared common facilities or received formal or authorized
care or custody. Unit and group-quarters blocks exist primarily in urban areas. The area stratum contains blocks with
addresses that are more difficult to locate. Area blocks exist
primarily in rural areas.
To reduce the variability of the survey estimates and to ensure that the within-PSU sample would reflect the demographic
and socioeconomic characteristics of the PSU, blocks within
the unit, group-quarters, and area strata were sorted using geographic and block-level data from the census. Examples of the
census variables used for sorting include proportion of minority renter-occupied housing units, proportion of housing units
with female householders, and proportion of owner-occupied
housing units. The specific sorting variables used differed by
type of PSU (urban or rural) and stratum.
Within each block, housing units were sorted geographically and grouped into clusters of approximately four units.
A systematic sample of these clusters was then selected independently from each stratum using the appropriate withinPSU sampling ratio. The geographic clustering of the sample
units reduces field representative travel costs. Prior to interviewing, special listing procedures are used to locate the particular sample addresses in the group-quarters and area blocks.
Units in the three strata described above all existed at the
time of the 1990 decennial census. Through a series of additional procedures, a sample of building permits is included
in the CPS to represent housing units built after the decennial census. Adding these newly built units keeps the sample
up-to-date and representative of the population. It also helps
to keep the sample size stable: Over the life of the sample,
the addition of newly built housing units compensates for
the loss of "old" units that may be abandoned, demolished,
or converted to nonresidential use.
Rotation of sample. Part of the sample is changed each
month. Each monthly sample is divided into eight representative subsamples or rotation groups. A given rotation group
is interviewed for a total of 8 months, divided into two equal
periods. It is in the sample for 4 consecutive months, leaves
the sample during the following 8 months, and then returns
for another 4 consecutive months. In each monthly sample,
one of the eight rotation groups is in the first month of enumeration, another rotation group is in the second month, and
so on. Under this system, 75 percent of the sample is common from month to month, and 50 percent is common from
year to year for the same month. This procedure provides a
substantial amount of month-to-month and year-to-year overlap in the sample, thus providing better estimates of change
and reducing discontinuities in the data series without burdening any specific group of households with an unduly
long period of inquiry.

178

Table 1-A. Characteristics ©f the CPS sample, 1947 to present
Period

Households eligible

Number of sample
areas

Aug. 1947 to Jan. 1954..............................
Feb. 1954 to Apr. 1956..,,..,..
May 1956 to Dec.1959..............................
Jan. 1960 to Feb. 1963..................
Mar. 1963 to Dec.1966..............................
Jan. 1967 to July 1971..............................
Aug. 1971 to July 1972.................
Aug. 1972 to Dec.1977..............................
Jan. 1978 to Dec.1979..............................
Jan. 1980 to Apr. 1981..............................
May 1981 to Dec.1984...
Jan, 1985 to Mar. 1988
Apr. 1988 to Mar, 19893
Apr. 1989 to Oct. 1994 .,..,.........,...,....
Nov. 1994 to Aug. 1995 •...........................
Sept 1995to Dec. 1995.........................
Jan. 1996 to June 2001
...........................*....
July 2001 to presents
...

Interviewed

68
230

1
330
2

333
357
449
449
461
614
629
629
729
729
729
792
792
754
754

i

21,000
21,000
33,500
33,500
33,500
48,000
45,000
45,000
53,500
62,200
57,800
57,000
53,200
57,400
54,500
52,900
46,250
55,500

Not interviewed
500-1,000
500-1,000
1,500
1,500
1,500
2,000
2,000
2,000
2,500
2,800
2,500
2,500
2,600
2,600
3,500
3,400
3,750
4,500

Households visited
but not eligible
3,000-3,500
3,000-3,500
6,000
6,000
6,000
8,500
8,000
8,000
10,000
12,000
11,000
11,000
11,500
11,800
10,000
9,700
10,000
12,000

1
Beginning in May 1958, these areas were chosen to provide coverage in
each State and the District of Columbia,
2
Three sample areas were added in 1960 to represent Alaska and Hawaii
after statehood,
3
The sample was increased incrementally during the 8~montrt period, AprilNovember 1909.

4
Includes 2,000 additional assigned housing units from Georgia and Virginia
that were gradually phased in during the 10-month period, October 1994August 1996.
5
Includes 12,000 assigned housing units io support of the State Children's
Health Insurance Program.

CPS sample? 1947 to present. Table I-A provides a.

areas within a State. Through a series of estimation steps
(outlined below), the selection probabilities are adjusted for
noninterviews and survey undercoverage; data from previous months are incorporated into the estimates through the
composite estimation procedure.

description of some aspects of the CPS sample designs in use
since 1947. A more detailed account of the history of the
CPS sample design appears in chapter 2 of 'The Current.
Population Survey; Design and Methodology," Technical;
Paper 63RV? (Washington, U.S. Census Bureau and Bureau.
of Labor Statistics, March 2002), available on the Internet ait
www.blsxensiis.go¥/cps/tp/tp63,htm. A description of the
1990 census-based sample design appears in "Redesign of
the Sample for the Current Population Survey," in the May
1994 issue of this publication and in chapter 3 of Technical
Paper 63RV referenced above. A description of the sample
expansion in support of the State Children's Health Insurance Program appears in "Expansion of the Current Population Survey Sample Effective July 2001", in the August 2001
issue of this publication and in Appendix J, "Changes to the
Current Population Survey Sample in July 2001," of Technical Paper 63RV referenced above,

1. Noninterview adjustment The weights for all interviewed
households are adjusted to account for occupied sample
households for which no information was obtained because
of absence, impassable roads, refusals, or unavailability of
the respondents for other reasons. This noninterview adjustment is made separately for clusters of similar sample areas
that are usually, but not necessarily, contained within a State.
Similarity of sample areas is based on Metropolitan Statistical Area (MSA) status and size. Within each cluster, there is
a further breakdown by residence. Each MSA cluster is split
by "central city" and "balance of the MSA." Each non-MSA
cluster is split by "urban" and "rural" residence categories.
The proportion of sample households not interviewed varies from 7 to 8 percent, depending on weather, vacation, etc.

ESTIMATING METHODS

2. Ratio estimates. The distribution of the population selected for the sample may differ somewhat, by chance, from
that of the population as a whole in such characteristics as
age, race, sex, and State of residence. Because these characteristics are closely correlated with labor force participation
and other principal measurements made from the sample,
the survey estimates can be substantially improved when
weighted appropriately by the known distribution of these
population characteristics. This is accomplished through
two stages of ratio adjustment, as follows:

Under the estimating methods used in the CPS, all of the
results for a given month become available simultaneously
and are based on returns from the entire panel of respondents. The estimation procedure involves weighting the data
from each sample person by the inverse of the probability of
the person being in the sample* This gives a rough measure
of the number of actual persons that the sample person represents. Since 1985, most sample persons within the same State
have had the same probability of selection. Some selection
probabilities may differ within a State due to the sample
design or for operational reasons. Field subsampling, for example, which is carried out when areas selected for the sample
are found to contain many more households than expected,
may cause probabilities of selection to differ for some sample



a. First-stage ratio estimation. The purpose of the firststage ratio adjustment is to reduce the contribution to variance that results from selecting a sample of PSUs rather than
drawing sample households from every PSU in the Nation.

179

This adjustment is made to the CPS weights in two race cells:
Black and nonblack; it is applied only to PSUs that are not
self-representing and for those States that have a substantial
number of black households. The procedure corrects for differences that existed in each State cell at the time of the 1990
census between 1) the race distribution of the population in
sample PSUs and 2) the race distribution of all PSUs. (Both 1
and 2 exclude self-representing PSUs,)
b. Second-stage ratio estimation. This procedure substantially reduces the variability of estimates and corrects,
to some extent, for CPS undercoverage. A national-coverage
step and a State-coverage step make preliminary corrections
for undercoverage. The CPS sample weights are then
adjusted to ensure that sample-based estimates of population match independent population controls. Three sets of
controls are used in different steps of the procedure:
1) State step: Civilian noninstitutional population
controls for 6 age-sex cells in the Los Angeles-Long Beach
metropolitan 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.

Rounding of estimates
The sums of individual items may not always equal the totals shown in the same tables because of independent rounding of totals and components to the nearest thousand. Similarly, sums of percent distributions may not always equal
100 percent because of rounding. Differences, however, are
insignificant.
Reliability of the estimates
An estimate based on a sample survey has two types of error
sampling error and nonsampling error. The estimated standard errors provided in this publication are approximations
of the true sampling errors. They incorporate the
effect of some nonsampling errors in response and enumeration, but do not account for any systematic biases in the
data.

2) Ethnicity step: National civilian noninstitutional
population controls for 26 Hispanic and 26 non-Hispanic
age-sex cells.
3) Race step: National civilian noninstitutional
population controls for 34 white, 26 black, and 26 Asianplus-residual-race age-sex cells.

Nonsampling error. The full extent of nonsampling error is
unknown, but special studies have been conducted to quantify some sources of nonsampling error in the CPS. The
effect of nonsampling error is small on estimates of relative
change, such as month-to-month change; estimates of
monthly levels tend to be affected to a greater degree.
Nonsampling errors in surveys can be attributed to many
sources, for example, the inability to obtain information about
all persons in the sample; differences in the interpretation of
questions; inability or unwillingness of respondents to provide correct information; Inability of respondents to recall
information; errors made in collecting and processing the
data; errors made in estimating values for missing data; and
failure to represent all sample households and all persons
within sample households (undercoverage).
Nonsampling errors occurring in the interview phase of
the survey are studied by means of a reinterview program.
This program is used to estimate various sources of error, as
well as to evaluate and control the work of the interviewers.
A random sample of each interviewer's work is inspected
through reinterview at regular intervals. The results indicate, among other things, that the data published from the
CPS are subject to moderate systematic biases. A description of the CPS reinterview program may be found in Appendix G, "Reinterview: Design and Methodology," of "The
Current Population Survey: Design and 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/tp/tp63.htm.
Hie effects of some components of nonsampling error in

The independent population controls are prepared by projecting forward the resident population as enumerated on
April 1, 2000. The projections are derived by updating
demographic census data with information from a variety of
other data sources that account for births, deaths, and net
migration. Estimated numbers of resident Armed Forces
personnel and institutionalized persons reduce the resident
population to the civilian noninstitutional population. Prior
to January 2003, the projections were based on earlier
censuses. See "Revisions to the Current Population Survey
Effective in January 2003," in the February 2003 issue of
this publication for a detailed discussion of changes to the
second-stage weighting and composite estimating procedures that were introduced in January 2003.
3. Composite estimation procedure. The last step in the
preparation of most CPS estimates makes use of a composite
estimation procedure. The composite estimate consists of a
weighted average of two factors: The two-stage ratio estimate based on the entire sample from the current month and
the composite estimate for the previous month, plus an estimate of the month-to-month change based on the six rotation groups common to both months. In addition, a bias
adjustment term is added to the weighted average to
account for relative bias associated with month-in-sample
estimates. This month-in-sample bias is exhibited by
unemployment estimates for persons in their first and fifth



months in the CPS being generally higher than estimates
obtained for the other months.
The composite estimate results in a reduction in the sampling error beyond that which is achieved after the two stages
of ratio adjustment For some items, the reduction is substantial. The resultant gains in reliability are greatest in estimates
of month-to-month change, although gains usually are also
obtained for estimates of level in a given month, change from
year to year, and change over other intervals of time.

180

the CPS data can be examined as a result of the rotation plan
used for the sample, because the level of the estimates varies
by rotation group. A description appears in Barbara A. Bailar,
'The Effects of Rotation Group Bias on Estimates from Panel
Surveys," Journal of the American Statistical Association,
March 1975S pp. 23-30.
Undercoverage in the CPS results from missed housing
units and missed persons within sample households. The
CPS covers about 92 percent of the decennial census population (adjusted for census undercount). It is known that the
CPS undercoverage varies with age? sex, race, and Hispanic
origin. Generally, undercoverage is larger for men than for
women and is larger for blacks, Hispanics, and other races
than for whites. Ratio adjustment to independent age-sexrace-origin population controls, as described previously,
partially corrects for the biases due to survey undercoverage.
However, biases exist in the estimates to the extent that missed
persons in missed households or missed persons in interviewed households have characteristics different from those
of interviewed persons in the same age-sex~race-origin group.
Additional information on nonsampling error in the CPS
appears in Camilla Brooks and Barbara Bailar, uAn Error
Profile: Employment as Measured by the Current Population
Survey," Statistical Policy Working Paper 3 (Washington,
U.S. Department of Commerce, Office of Federal Statistical
Policy and Standards, September 1978); Marvin Thompson
and Gary Shapiro, "The Current Population Survey: An
Overview" Annals of Economic and Social Measurement,
Vol. 2, April 1973; and "The Current Population Survey:
Design and Methodology/' Technical Paper 63RV referenced
above. The last document includes a comprehensive
discussion of various sources of errors and describes attempts
to measure them in the CPS.

These confidence interval statements are approximately
true for the CPS. Although the estimating methods used in
the CPS do not produce unbiased estimates, biases for most
estimates are believed to be small Methods for estimating
standard errors reflect not only sampling errors but also some
kinds of nonsampling error. Although both the estimates and
the estimated standard errors depart from the theoretical ideal,
the departures are minor and have little impact on the confidence interval statements. When clarity is needed, an estimated 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 approximate
standard errors of estimates can be easily obtained. Tables
1-B and 1-C give approximate standard errors for estimated
monthly levels and rates for selected employment status
characteristics; the tables also provide approximate standard
Table 1-B. Approximate standard errors for major employment status 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 force
Employed....
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
Employed..
Unemployed
Women, 20 years and over:
Civilian labor force
Employed..................
Unemployed
Both sexes, 16 to 19 years:
Civilian labor force
Employed......
Unemployed
Asian
Total, 16 years and over:
Civilian labor force
Employed..................
Unemployed
Hispanic or Latino ethnicity
Total, 16 years and over:
Civilian labor force
Employed................
Unemployed

Sampling error. When a sample, rather than the entire population, is surveyed, estimates differ from the true population values that they represent This difference, or sampling error,
occurs by chance, and its variability is measured by the standard error of the estimate,, Sample estimates from a given survey design are unbiased when an average of the estimates from
all possible samples would yield, hypothetically, the true population value. In this case, the sample estimate and its standard
error can be used to construct approximate confidence intervals, or ranges of values that include the true population value
with known probabilities. If the process of selecting a sample
from the population were repeated many times, an estimate
made from each sample, and a suitable estimate of its standard
error calculated for each sample, then:
1. Approximately 68 percent of the intervals from one
standard error below the estimate to one standard error above
the estimate would include the true population value.
2. Approximately 90 percent of the intervals from 1.645
standard errors below the estimate to 1.645 standard errors
above the estimate would include the true population value.
3. Approximately 95 percent of the intervals from 1.96
standard errors below the estimate to 1.96 standard errors
above the estimate would include the true population value.



181

Monthly
level

Consecutive
month-tomonth change

300
323
155

246
265
172

162
185
104

133
152
115

207
217
92

170
178
102

145
132
61

142
130
75

125
134
74

102
110
82

76
83
48

63
68
53

79
85
46

65
70
52

41
37
27

40
36
34

80
82
29

67
33

119
129
66

97
105
73

Table 1-C. Approximate standard errors for unemployment
rates by major characteristics
(fn percent)
Characteristic
Total
Men
Men, 20 years and over
Women
Women, 20 years and over
Both sexes, 16 to 19 years
White
Black or African American
Asian
.
,
Hispanic or Latino ethnicity
Married men, spouse present
Married women, spouse present.............
Women who maintain families

Consecutive
Monthly monthhtorate
•nonth change
0.10
.14
.14
.14
.14
.78
.11
.44
.46
.34
.14
.16
.46

0.12
,16
.15
.16
.16
.97
.12
.49
.51
.38
.15
.18
.52

Use of table 1~D. This table gives a and b parameters that can
be used with formulas to calculate approximate monthly standard errors for a wide range of estimated levels, proportions,
and rates. Factors are provided to convert monthly measures
into approximate standard errors of estimates for other periods
(quarterly and yearly averages) and approximate standard errors for changes over time (consecutive monthly changes,
changes in consecutive quarterly and yearly averages, and
changes in monthly estimates 1 year apart).
The standard errors for estimated changes in level from
one month to the next, one year to the next, etc., depend
more on the monthly levels for characteristics than on the
size of the changes. Likewise, the standard errors for changes
in rates (or percentages) depend more on the monthly rates
(or percentages) than on the size of the changes. Accordingly, the factors presented in table 1-D are applied to the
monthly standard error approximations for levels, percentages, or rates; the magnitudes of the changes do not come
into play. Factors are not given for estimated changes between nonconsecutive months (except for changes of monthly
estimates 1 year apart); however, the standard errors may be
assumed to be higher than the standard errors for consecutive monthly changes.

errors for consecutive month-to-month changes in the
estimates. It is impractical to show approximate standard
errors for all CPS estimates in this publication, so table 1-D
provides parameters and factors that allow the user to
calculate approximate standard errors for a wide range of
estimated levels, rates, and percentages, and also changes
over time. The parameters and factors are used in formulas
that are commonly called generalized variance functions.
The approximate standard errors provided in this publication are based on the sample design and estimation procedures as of 1996, and reflect the population levels and sample
size as of that year. Standard errors for years prior to 1996
may be roughly approximated by applying these adjustments
to the standard errors presented here. (More accurate standard error estimates for historical CPS data may be found in
previous issues of this publication.)

se(x)~->Jax2 + hx

1. For the years 1967 through 1995, multiply the standard
errors by 0.96.

Standard errors of estimated levels using table 1-D. The
approximate standard error se(x) of JC, an estimated monthly
level, can be obtained using the formula below, where a and
b are the parameters from table 1-D associated with a particular characteristic.

2. For the years 1956 through 1966, multiply the standard
errors by 1.17.
3. For years prior to 1956, multiply the standard errors by
1.44.

Illustration. Assume that, in a given a month, there are an
estimated 4 million unemployed men. Obtain the appropriate a and b parameters from table 1-D (Total or white; Men;
Unemployed). Use the formula for se(x) to compute an approximate standard error on the estimate of x = 4,000,000.

Use of tables 1-B and 1~C. These tables provide a quick
reference for standard errors of major characteristics. Table
1-B gives approximate standard errors for estimates of
monthly levels and consecutive month-to-month changes
in levels for major employment status categories. Table 1-C
gives approximate standard errors for estimates of monthly
unemployment rates and consecutive month-to-month
changes in unemployment rates for some demographic,
occupational, and industrial categories. For characteristics
not given in tables 1-B and 1-C, refer to table 1-D.

a = -0.0000321

b = 2970.55

sc(4,000,000) = /-0.0000321(4,000,000) 2 + 2970.55(4,000,000) m 107,000

Procedure for using table 1-D factors for levels. Table 1-D
gives factors that can be used to compute approximate standard errors of levels for other periods or for changes over
time. For each characteristic, factors/are given for:
Consecutive month-to-momth changes
Changes in monthly estimates 1 year apart
Quarterly averages
Changes in consecutive quarterly averages
Yearly averages
Changes in consecutive yearly averages

Illustration. Suppose that, for a given month, the number
of women age 20 years and over in the civilian labor force is
estimated to be 65,000,000. For this characteristic, the approximate standard error of 207,000 is given in table
1-B in the row "Women, 20 years and over; Civilian labor
force." To calculate an approximate 90-percent confidence
interval, multiply the standard error of 207,000 by the fac


tor 1.645 to obtain 341,000. This number is subtracted
from and then added to 65,000,000 to obtain an approximate 90-percent confidence interval: 64,659,000 to
65,341,000. Concluding that the true civilian labor force
level lies within an interval calculated in this way would be
correct for roughly 90 percent of all possible samples that
could have been selected for the CPS.

182

For an approximate 90-percent confidence interval, compute 1.645 * 120,000 * 197,000. Subtract the number from
and add the number to 150,000 to obtain an interval
of -47,000 to 347,000. This is an approximate 90-percent
confidence interval for the true change, and since this interval includes zero, one cannot assert at this level of confidence that any real change has occurred in the unemployment level. The result also can be expressed by saying that
the apparent change of 150,000 is not significant at a 90percent confidence level.

For a given characteristic, the table 1-D factor is used in
the following formula, which also uses the a and b parameters from the same line of the table. A three-step procedure
for using the formula is given. T h e / i n the formula is frequently called an adjustment factor, because it appears to
adjust a monthly standard error se(x). However, the x in the
formula is not a monthly level, but an average of several
monthly levels (see examples listed under Step 1, below).
se(x,

/ ) = / * se(x) = / •

Illustration of a standard error computation for quarterly
average level Suppose that an approximate standard error
is desired for a quarterly average of the black or African
American employment level. Suppose that the estimated
employment levels for the 3 months making up the quarter
are 14,900,000, 15,000,000, and 15,100,000.

where x is an average of monthly levels over a designated
period.
Step 1. Average monthly levels appropriately in order to
obtain jr. Levels for 3 months are averaged for quarterly
averages, and those for 12 months are averaged for yearly
averages. For changes in consecutive averages, average over
the 2 months, 2 quarters, or 2 years involved. For changes in
monthly estimates 1 year apart, average the 2 months involved.

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 x, treating it like an estimate for a single month.

Step 2, Calculate an approximate standard error se(x),
treating the average x from step 1 as if it were an estimate of
level for a single month* Obtain parameters a and h from
table 1-D. (Note that, for some characteristics, an approximate standard error of level could instead be obtained from
table 1-B and used in place ofse(x) in the formula.)

a = -0.0001514

se(15,OO0.O00) « fo,0001514(15,000)000)2+3454.72(15,000,000) * 133,000

Step 3. Obtain/= .87 from the same row of table 1-D in the
column "Quarterly averages," and multiply the factor by the
result from step 2.

Step 3. Determine the standard error se (x,f) on the average level or on the change in level. Multiply the result from
step 2 by the appropriate factor/ The a and h parameters
used in step 2 and the factor/used in this step come from the
same line in table 1-D.

se(15,000,000) = .87 * 133,000 * 116,000
Illustration of a standard error computation for change in
quarterly level Continuing the example, suppose that, in
the next quarter, the estimated average employment level for
blacks is 15,400,000, based on monthly levels of 15,300,000,
15,400,000, and 15,500,000. This is an estimated increase
of 400,000 over the previous quarter.

Illustration of a standard error computation for consecu"
tive month change in level Continuing the previous example, suppose that in the next month the estimated number
of unemployed men increases by 150,000, from 4,000,000
to 4,150,000.

Step 1. The average of the two quarterly levels is x =
15,200,000.

Step 1. The average of the two monthly levels is jr =
4,075,000.

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 x, treating it like an estimate for a single month.

Step 2. Apply the a and b parameters from table 1-D (Total
or white; Men; Unemployed) to the average jr, treating it like
an estimate for a single month,

a = -0.0001514
a = -0.0000321

6 = 3454.72

b ==3454.72

b = 2970.55
^(15,200,000) = ^0;O0O1514(15,2O0,000) 2 +3454J2(15 ? 2O0,OO0^ * 132,000
2

s«?(4,075,00O) * /^000321(4,O75,000) +2970.55(4,O75,OOO) * 108,000

Step 3. Obtain / = .82 from the same row of table 1-D in
the column "Change in consecutive quarterly averages," and
multiply the factor by the result from step 2.

Step 3. Obtain / = L11 from the same row of table 1 -D in
the column "Consecutive month-to-month change," and multiply the factor by the result from step 2.
se(\ 50?000) « / * $e(4,075,000) = 1.11*1Q8?QG0 * 120,000



5<?(400,G00) = .82 * se{\ 5,200,000) = .82*132,000 * 108,000
183

For an approximate 95-percent confidence interval, compute 1.96 * 108,000 * 212,000. Subtract the number from
and add the number to 400,000 to obtain an interval of
188,000 to 612,000. The interval excludes zero. Another
way of stating this is to observe that the estimated change of
400,000 clearly exceeds 1.96 standard errors, or 212,000.
One can conclude from these data that the change in quarterly averages is significant at a 95-percent confidence level.

Step 1. Appropriately average estimates of monthly rates
or percentages to obtain py and also average estimates of
monthly levels to obtain y. Rates for 3 months are averaged
for quarterly averages, and those for 12 months are averaged
for yearly averages. For changes in consecutive averages,
average over the 2 months, 2 quarters, or 2 years
involved. For changes in monthly estimates 1 year apart,
average the 2 months involved.

Standard errors of estimated rates and percentages using
table 1-D. As shown in the formula below, the approximate
standard error se(p,y) of an estimated rate or percentage
p depends, in part, upon the number of persons y in its
base or denominator. Generally, rates and percentages
are not published unless the monthly base is greater
than 75,000 persons, the quarterly average base is greater
than 60,000 persons, or the yearly average base is greater
than 35,000 persons. The b parameter is obtained from
table 1-D. When the base y and the numerator of p are
from different categories within the table, use the b parameter from table 1-D relevant to the numerator of the rate or
percentage.

Step 2. Calculate an approximate standard error
se (p, y)7 treating the averages p and y from step 1 as if they
were estimates for a single month. Obtain the b parameter
from the table 1-D row that describes the numerator of the
rate or percentage. (Note that, for some characteristics, an
approximate standard error could instead be obtained from
table 1-C and used in place of se (p, y) in the formula.)
Step 3. Determine the standard error se (p,y,j) on the
average level or on the change in level. Multiply the result
from step 2 by the appropriate factor/. The b parameter used
in step 2 and the factor/used in this step come from the same
line in table 1-D.
Illustration of a standard error computation for consecutive month change in percentage. Continuing the previous
example, suppose that, in the next month, 6,300,000 women
20 to 24 years of age are reported employed, and that
2,150,000, or 34 percent, are part-time workers.

••£
Note that se(p,y) is in percent.
Illustration. For a given month, suppose y = 6,200,000
women 20 to 24 years of age are estimated to be employed.
Of this total, 2,000,000, or p = 32 percent, are classified as
part-time workers. Obtain the parameter b = 3095.55 from
the table 1-D row (Employment; Part-time workers) that is
relevant to the numerator of the percentage. Apply the formula to obtain:
se(p9

3Q95 55

-

i 6,200,000

Step 1. The month-to-month change is 2 percent = 34
percent - 32 percent. The average of the two monthly percentages of 32 percent and 34 percent is needed (p = 33
percent), as is the average of the two bases of 6,200,000 and
6,300,000 (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.

((32V100-32)«l.Opercent

For an approximate 95-percent confidence interval, compute 1.96 * 1.0 percent, and round the result to 2 percent.
Subtract this from and add this to the estimate of p = 32
percent to obtain an interval of 30 percent to 34 percent.

se(p,y)

Step 3. Obtain/=1 .24 from the same row of table 1-D in
the column "Consecutive month-to-month change," and multiply the factor by the result from step 2.

Procedure/or using table 1-Dfactors for rates and percent*
ages. Table 1-D factors can be used to compute approximate
standard errors on rates and percentages for other
periods or for changes over time. As for levels, there are three
steps in the procedure for using the formula.

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 2.4
percent. Subtract this from and add this to the 2-percent
estimate of change to obtain an interval of -0.4 percent to
4.4 percent. Because this interval includes zero, it can be
concluded at a 95-percent confidence level that the change
is not significant.

where p and y are averages of monthly estimates over a designated period. Note that se (p, y,f) is in percent.




-I

3095.55
((33)(100- 33) «1.0 percent
6,250,000

184

Table 1-D. Parameters and factors for computation of approximate standard errors
Factors

Parameters
Characteristic
«_

a

D

Change in
Consecutive Year-to-year
month-tochange
Quarterly consecutive
month
of monthly averages
quarterly
change
estimates
averages

Yearly
averages

Change in
consecutive
yearly
averages

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

1.19
1.35
1.16

0.87

0.82

0.66

.91
.80

.44
.66

0.79

.74
.87

1.19
1.35

.87
.74

.82
.91

.66
.44

.79
.59

1.19
1.35

.87
.74

.82
.91

.66
.44

.79
.59

1.31
1.39

.82
.68

.85
.88

.57
.39

.73
.52

1.19
1.35

.87
.74

.82
.91

.66
.44

.79
.59

1.17
1.35

.83
.74

.81
.91

.62
.44

.75

1.18
1.35

.86
.74

.78
.91

.67
.44

.80
.59

1.24

1.31
1.39

.80
.68

.90
.88

.53
.39

.68
.52

3198.15
3198,15

32
1.11

1.27
1.48

.85

.89
.90

.58

.73

.44

.74
.58

-.0007289
-.0007289

3198.15
3198.15

.82

1.11

1.28
1.42

.83
.73

.92
.92

.55
.43

.71
.56

-.0006594
-,0006594

3198.15
3198.15

1.11

1.31
1.49

.85
.73

.36
.89

.61
.43

.77
.59

-.0041465
-.0041465

3198.15
3198.15

1.24

1.31
1.38

.82
.69

.85
.85

.57
.44

.73
.56

Total:
Civilian labor force, employed,
and not in labor force
-.0001412
Unemployed.........................
-.0001412

3454.72
3454.72

1.11

1.19
1.35

.85
.73

.81
.91

.64
.44

.77
.59

Men:
Civilian labor force, employed,
and not in labor force.....!...
-.0002528
Unemployed.........................
-.0002528

3356.66
3356.66

1.11

1.19
1.35

.82
.74

.86

.57
.44

.72
.59

Total:
Civilian labor force, employed,
and not in labor force.........
Unemoloved
Men:
Civilian labor force, employed,
and not in labor force.........
UnsniDloved...,.. ....... .
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 ettinicity




-0.0000167
-.0000164
-.0000087

3067.77
3095.55
1833.31

0.82
1.11

-.0000321
-.0000321

2970.55
2970.55

1.11

-.0000304
-.0000304

2782.44
2782.44

1.11

-.0000225
%0000225

3095.55
3095.55

1.24

-.0001514
-.0001514

3454.72
3454.72

1.11

-.0003109
-.0003109

3356.66
3356.66

1.11

-.0002516
-.0002516

3061.85
3061.85

1.11

-.0016321
»,0016321

3454.72
3454.72

-.0003462
-.0003462

.82

.82

,82

.08

.82

.82

.82

.98

.82

.98

.82

.82

185

.91

'

.59
.79

.59

Table 1-D. Parameters and factors for computation of approximate standard errors—Continued
Parameters

Factors
Change in
Consecutive Year-to-year
Change in
Quarterly consecutive
month-toYearly
consecutive
change
month
quarterly
averages
yearly
of monthly averages
change
averages
averages
estimates

Characteristic

Hispanic or Latino
ethnicity—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.

-.0002664
-.0002664

3061.85
3061.85

.82
1.11

1.19
1.35

,85
.72

.80
.89

.67
.42

.80
.57

-.0015280
-.0015280

3454.72
3454.72

.98
1.24

1.32
1.39

.79
.68

.88
.88

30
.38

.68
.52

-0.0000164

3095.55

.82

1.19

.85

.92

.59

.73

Marital status, men
Marital status, women..
Women who maintain families
Nonagricultural industries:
Total
Wage and salary workers..
Self-employed workers
Unpaid family workers

-.0000321
-.0000304
-.0000304

2970.55
2782.44
2782.44

.82
.82
.82

1.21
1.06
1.16

.87
.88
.86

.88
.86
.91

,63
,65
,59

.77
,78
.73

-.0000164
-.0000164
-.0000164
-.0000164

3095.55
3095.55
3095.55
3095.55

.82
.82
.82
.98

1.16
1.26
1.14
1.30

.87
.87
.86
.79

.82
.87
.94
.94

,65
,62
.56
,46

,79
17
.73
.65

Full-time workers
Part-time workers

-.0000164
-.0000164

3095.55
3095.55

1.11
1.24

1.35
1.42

.78
.67

.88
.88

,54
,40

.66
.50

-.0000164

3095.55

1.11

1.26

.81

.92

.52

.66

-.0000164
-.0000164
-.0000164
-.0000164
-.0000164
-.0000164
-.0000164

3095.55
3095.55
3095.55
3095.55
3095.55
3095.55
3095.55

.82
1.24
1.11
1.24
1.11
1.24
1.11

1.14
1.36
1.35
1.42
1.28
1.35
1.29

.86
.70
.74
.67
.78
.68
.74

.91
.89
.86
.88
.83
.87
.88

.60
.43
.47
.40
.55
.42
.47

.74
,54
.62
.50
.68
.51
.62

-.0000164

3095.55

1.21

1.38

.70

.87

.43

.55

-.0000164

3095.55

1.21

1.29

.75

.86

.50

.60

-.0000164

1.11
1.11
1.11
1.11

1.30

-.0000321
-.0000304
-.0000304

3095.55
2970.55
2782.44
2782.44

1.41
1.37
1.38

.72
.76
.74
.75

.83
.89
.91
.89

.46
.45
,42
.45

.59
.66
.59
.61

-.0000164

3095.55

1.11

1.37

.73

.89

.45

.60

-.0000164
-.0000164

3095.55
3095.55

1.11
1.24

1.33
1.43

.76
.67

.89
.87

.47
.38

.63
.51

-.0000164
-.0000164
-.0000164
-.0000164

3095.55
3095.55
3095.55
3095.55

1.11
1.24
1.24
1.11

1.30
1.45
1.45
1.33

.72
.63
.69
.77

.83
.91
.90
.92

,46
,36
.38
.46

.59
.49
.54
.63

-.0000164
-.0000164

3095.55
3095.55

1.11
1.11

1.30
1.30

.72
.63

.83
.85

.46
.44

.59
.55

.0000087

1833.31

.82

1.11

.87

.78

.68

.79

.0000164

3095.55

1.24

1.23

.65

.85

.38

.48

.

Multiple jobholders
At work
Total and nonagricultural
industries:
Total
1 to 4 or 5 to 14 hours
15 to 29 hours
30 to 34 or 35 to 39 hours .
1 to 34 or 40 hours
41 to 48 or 49 to 59 hours ,
35+, 41+, or 60+ hours
Part time for economic
reasons
Part time for noneconomic
reasons
Unemployment
Educational attainment.
Marital status, men
Marital status, women..
Women who maintain families
Industries and occupations...
Full-time workers
Part-time workers
Less than 5 weeks
5 to 14 weeks
15 to 26 weeks
15+ or 27+ weeks
All reasons for unemployment,
except temporary layoff
On temporary layoff
Not in the labor force
Total
Persons who currently want
a job and discouraged
workers



186

Establishment Data
(MBW tables)

Chart 1 shows the percentage of the establishments using
different data collection methods.

DATA COLLECTION
BLS cooperates with State Workforce Agencies in the
Current Employment Statistics (CES)5 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 160,000
businesses and government agencies covering approximately
400,000 individual worksites. The sample is drawn from a
sampling frame of over 8 million unemployment insurance
tax accounts. The active CES sample includes approximately
one-third of all nonfarm payroll workers. From these data,
a large number of employment, hours, and earnings series
in considerable industry and geographic detail are prepared
and published each month. Historical statistics are available
at http;//www*bls,gov9 the BLS Internet site.
Each month, BLS and the State agencies collect data on
employment, payrolls, and paid hours from a sample of
establishments. BLS has established a comprehensive
program of new sample unit solicitation in the three BLS
regional office data collection centers (DCCs). The DCCs
perform initial enrollment of each firm via telephone, collect.
the data for several months via computer assisted telephone
interviewing (CATI), and, where possible, transfer
respondents to a self-reporting mode such as touchtone dam
entiy (TDE), FAX, or Web. In addition, the DCCs conduct
an ongoing program of refusal conversion* Very large firms.
are often enrolled via personal visit and ongoing reporting
is established via electronic data interchange (EDI).
EDI is the most frequently used collection mode (32:
percent of respondents), while CATI and TDE are each
used by about one-quarter of the respondents. Under
EDI, the firm provides an electronic file to BLS each month
in a prescribed file format. This file includes data for all of
the firms' worksites. The file is received, processed, and
edited by the BLS-operated EDI Center. Under the TDE
system, the respondent uses a touchtone telephone to call a
toll-free number and activate an interview session. The
questionnaire resides on the computer in the form of
prerecorded questions that are read to the respondent. The
respondent enters numeric responses by pressing the
touchtone phone buttons. Each answer is read back for
respondent verification,
CATI and FAX collection through the regional BLS DCCs
combined account for most of the remainder of the reports.
For establishments that do not use the above methods, data
are collected by the State agency using mail, FAX, transcript,
magnetic tape, or computer diskette. About 5,000 firms
provide data through the World Wide Web.




187

CONCEPTS
Industrial classification
All data on employment, hours, and earnings for the Nation
and for States and areas are classified in accordance with
the 2002 North American Industry Classification System
(NAICS), U.S. Office of Management and Budget. The
United States, Canada, and Mexico share this classification
system, and thus it allows a direct comparison of economic
data between the three countries.
Establishments are classified into industries on the basis
of their primary activity. Those that use comparable capital
equipment, labor, and raw material inputs are classified
together, This information is collected on a supplement to
the quarterly unemployment insurance tax reports filed by
employers. For an establishment engaging in more than one
activity, the entire employment of the establishment
is included under the industry indicated by the principal
activity.
Industry employment
Employment data refer to persons on establishment payrolls
who received pay for any part of the pay period that includes
the 12th day of the month.

Chart 1. Distribution of CES sample by
collection mode
Web

1%

i

FAX
/~

Mai!

M I JJkwwwwvvsvs^^

"

EDJ
32%
1

i
i

i i

I I I

8%

••VT^TaHawKpBwQW^^B^p^^^TftTB

' ' i ^WttSlHHilllllllllff

i i

X^CATI
24%
TDE_/
22%

The data exclude proprietors, the self-employed, unpaid
volunteer or family workers, farmworkers, and domestic
workers. Salaried officers of corporations are included.
Government employment covers only civilian employees;
military personnel are excluded. Employees of the Central
Intelligence Agency, the Defense Intelligence Agency, the
National Geospatial-Intelligence Agency, and the National
Security Agency also are excluded.
Persons on establishment payrolls who are on paid sick
leave (for cases in which pay is received directly from
thefirm),on paid holiday, or on paid vacation, or who work
during a part of the pay period even though they are
unemployed or on strike during the rest of the period are
counted as employed. Not counted as employed are persons
who are on layoff, on leave without pay, or on strike for the
entire period, or who were hired but have not yet reported
during the period.
Industry hours and earnings

Average hours and earnings data are derivedfromreports of
payrolls and hours for production and related workers in
natural resources and mining and manufacturing,
construction workers in construction, and nonsupervisory
employees in private service-providing industries.
Production and related workers. This category includes
working supervisors and all nonsupervisory workers
(including group leaders and trainees) engaged in fabricating,
processing, assembling, inspecting, receiving, storing,
handling, packing, warehousing, shipping, tracking, hauling,
maintenance, repair, janitorial, guard services, product
development, auxiliary production for plant's own use
(for example, power plant), recordkeeping, and other
services closely associated with the above production
operations.
Construction workers. This group includes the following
employees in the construction division: Working
supervisors, qualified craft workers, mechanics, apprentices,
helpers, laborers, and so forth, engaged in new work,
alterations, demolition, repair, maintenance, and the like,
whether working at the site of construction or in shops or
yards at jobs (such as precutting and preassembling)
ordinarily performed by members of the construction
trades.

Payroll This refers to the payroll for ftill- and part-time
production, construction, or nonsupervisory workers
who received pay for any part of the pay period that
includes the 12th day of the month. The payroll is reported
before deductions of any kind, such as those for old-age and
unemployment insurance, group insurance, withholding tax,
bonds, or union dues; also included is pay for overtime,
holidays, and vacation, and for sick leave paid directly by
the firm. Bonuses (unless earned and paid regularly each
pay period); other pay not earned in the pay period reported
(such as retroactive pay); tips; andtitlevalue of free rent,
fiiel, meals, or other payment in kind are excluded. Employee
benefits (such as health and other types of insurance,
contributions to retirement, and so forth, paid by the
employer) also are excluded.
Hours. These are the hours paid for during the pay period
that includes the 12th of the month for production,
construction, or nonsupervisory workers. Included are hours
paid for holidays and vacations, and for sick leave when
pay is received directly from the firm.
Overtime hours. These are hours worked by production or
related workers for which overtime premiums were paid because
the hours were in excess of the number of hours of either the
straight-time workday or the workweek during the pay period
that included the 12th of the month. Weekend and holiday
hours are included only if overtime premiums were paid. Hours
for which only shift differential, hazard, incentive, or other
similar types of premiums were paid are excluded.
Average weekly hours. The workweek information relates
to the average hours for which pay was received and is
different from standard or scheduled hours. Such factors as
unpaid absenteeism, labor turnover, part-time work, and
stoppages cause average weekly hours to be lower than
scheduled hours of work for an establishment. Group
averages further reflect changes in the workweek of
component industries.

Indexes of aggregate weekly hours and payrolls. The
indexes of aggregate weekly hours are calculated by dividing the current month's aggregate by the average of the
12 monthly figures for 2002. For basic industries, the
hours aggregates are the product of average weekly hours
and production worker or nonsupervisory worker
Nonsupervisory employees. These are employees (not above employment. At all higher levels of industry aggregation, hours aggregates are the sum of the component
the working-supervisor level) such as office and clerical
aggregates.
workers, repairers, salespersons, operators, drivers,
physicians, lawyers, accountants, nurses, social workers,
The indexes of aggregate weekly payrolls are calculated
research aides, teachers, drafters, photographers, beauticians, by dividing the current month's aggregate by the average of
musicians, restaurant workers, custodial workers, attendants, the 12 monthly figures for 2002. For basic industries, the
line installers and repairers, laborers, janitors, guards,
payroll aggregates are the product of average hourly earnings
and aggregate weekly hours. At all higher levels of industry
and other employees at similar occupational levels whose
aggregation, payroll aggregates are the sum of the component
services are closely associated with those of the employees
aggregates.
listed.



188

Long-term trends of average weekly earnings can be
affected by structural changes in the makeup of the
workforce. For example, persistent long-term increases in
the proportion of part-time workers in retail trade and many
of the services industries have reduced average workweeks
in these industries and have affected the average weekly
earnings series.

Average overtime hours. Overtime hours represent that
portion of average weekly hours that exceeded regular hours
and for which overtime premiums were paid. If an employee
were to work on a paid holiday at regular rates, receiving as
total compensation their holiday pay plus straight-time pay
for hours worked that day, no overtime hours would be
reported.
Because overtime hours are premium hours by definition,
weekly hours and overtime hours do not necessarily move
in the same direction from month to month. Such factors as
work stoppages, absenteeism, and labor turnover may not
have the same influence on overtime hours as on average
hours. Diverse trends at the industry group level also may
be caused by a marked change in hours for a component
industry in which little or no overtime was worked in both
the previous and current months.

Real earnings. These earnings are in constant dollars and
are calculated from the earnings averages for the current
month using a deflator derived from the Consumer Price
Index for Urban Wage Earners and Clerical Workers (CPIW), The reference year for these series is 1982.
Indexes of diffusion of employment change. These indexes
measure the dispersion of change in employment among
industries over the specified timespan. The overall indexes
are calculated from 278 seasonally adjusted employment
series (4-digit NAICS industries) covering all nonfarm
payroll employment in the private sector. The manufacturing diffusion indexes are based on 84 4-digit NAICS
industries.
To derive the indexes, each component industry is
assigned a value of 0, 50, or 100 percent, depending on
whether its employment showed a decrease, no change, or
an increase, respectively, over the timespan. The average
value (mean) is then calculated, and this percent is the
diffusion index number.
The reference point for diffusion analysis is 50 percent,
the value indicating that the same number of component
industries had increased as had decreased. Index numbers
above 50 show that more industries had increasing
employment and values below 50 indicate that more had
decreasing employment. The margin between the percent
that increased and the percent that decreased is equal to the
difference between the index and its complement—that is,
100 minus the index. For example, an index of 65 percent
means that 30 percent more industries had increasing
employment than had decreasing employment (65-( 100-65)
= 30). However, for dispersion analysis, the distance of the
index number from the 50-percent reference point is the most
significant observation.
Although diffusion indexes commonly are interpreted as
showing the percent of components that increased over the
timespan, the index reflects half of the unchanged
components as well. (This is the effect of assigning a value
of 50 percent to the unchanged components when computing
the index.)
ESTIMATING METHODS

Average hourly earnings. Average hourly earnings are on a
"gross" basis. They reflect not only changes in basic hourly
and incentive wage rates, but also such variable factors 21s
premium pay for overtime and late-shift work and changes.
in output of workers paid on an incentive plan. They also
reflect shifts in the number of employees between relatively
high-paid and low-paid work and changes in workers"
earnings in individual establishments. Averages for groups;
and divisions further reflect changes in average hourly
earnings for individual, industries.
Averages of hourly earnings differ from wage rates.
Earnings are the actual return to the worker for a stated
period; rates are the amount stipulated for a given unit of
work or time. The earnings series do not measure the level
of total labor costs on the part of the employer because the
following are excluded: Benefits, irregular bonuses,,
retroactive items, pa3nroll taxes paid by employers, and
earnings for those employees not covered under production
worker, construction worker, or nonsupervisory employee::;
definitions.
Average hourly earnings, excluding overtime. Average
hourly earnings, excluding overtime-premium pay, are
computed by dividing the total production worker payroll
for the industry group by the sum of total production worker
hours and one-half of total overtime hours. No adjustments
are made for other premium payment provisions, such as
holiday pay, late-shift premiums, and overtime rates other
than time and one-half.
Average weekly earnings. These estimates are derived by
multiplying average weekly hours estimates by average
hourly earnings estimates. Therefore, weekly earnings are
affected not only by changes in average hourly earnings
but also by changes in the length of the workweek. Monthly
variations in such factors as the proportion of part-time
workers, stoppages for varying reasons, labor turnover
during the survey period, and absenteeism for which
employees are not paid may cause the average workweek; to
fluctuate.



The Current Employment Statistics (CES) or establishment
survey estimates of employment are generated through an
annual benchmark and monthly sample link procedure. Annual
universe counts or benchmark levels are generated primarily
from administrative records on employees covered by
unemployment insurance (UI) tax laws. These annual
benchmarks, established for March of each year, are projected

189

forward for each subsequent month based on the trend of
the sample employment, using an estimation procedure
called the link relative. Benchmarks and sample link
relatives are computed for each basic estimating cell and
summed to create aggregate-level employment estimates.
Benchmarks
For the establishment survey, annual benchmarks are
constructed in order to realign the sample-based employment
totals for March of each year with the Ul-based population
counts for March. These population counts are much less
timely than sample-based estimates and are used to provide
an annual point-in-time census for employment. For national
series, only the March sample-based estimates are replaced
with UI counts. For State and metropolitan area series, all
available months of UI data are used to replace sample-based
estimates. State and area series are based on smaller samples
and are therefore more vulnerable to both sampling and
nonsampling errors than national estimates.
Population counts are derived from the administrative
file of enployees covered by UI. All employers covered by UI
laws ate required to report employment and wage information
to the appropriate State workforce agency four times a year.
Approximately 97 percent of private employment within the
scope of the establishment survey is covered by UI. A
benchmark for the remaining 3 percent is constructed from
alternate sources, primarily records from the Railroad
Retirement Board and County Business Patterns. The full
benchmark developed for March replaces the March samplebased estimate for each basic cell. The monthly sarqple-based
estimates for the year preceding and the year following the
benchmark also are than subject to revision.
Monthly estimates for the year preceding the March
benchmark are readjusted using a "wedge-back" procedure.
The difference between the final benchmark level and the
previously published March sample estimate is calculated
and spread back across the previous 11 months. The wedge
is linear; eleven-twelfths of the March difference is added
to the February estimate, ten-twelfths to the January estimate,
and so on, back to the previous April estimate, which
receives one-twelfth of the March difference. This assumes
that the total estimation error since the last benchmark
accumulated at a steady rate throughout the current
benchmark year.
Estimates for the 7 months following the March benchmark also are recalculated each year. These post-benchmark
estimates reflect the application of sample-based monthly
changes to new benchmark levels for March and the
recomputation of net birth/death model factors for each
month.
Following the revision of basic employment estimates, all
other derivative series (such as the number of production
workers and average hourly earnings) also are recalculated.
New seasonal adjustment factors are calculated and all data
series for the previous 5 years are re-seasonally adjusted before
full publication of all revised data in February of each year.



Changing data ratiosfar educational services and religious
organizations. Due to definitional exclusions in the
collection of data for educational services, NAICS 611, and
a small sample in religious organizations^ NAICS 8131,
certain ratios for these series are recalculated with each
benchmark to allow for the creation of aggregate totals.
Production worker and women worker ratios, average hourly
earnings, and average weekly hours axe calculated based on
the weighted average of the previous year's professional and
technical services, education and health services, leisure and
hospitality, and other services supersectors annual averages.
The March 2004 values were set based on the 2003 annual
averages.
The educational services series uses the nonsupervisory
worker ratio, average hourly earnings, and average weekly
hours calculated from the weighted average. The religious
organizations series uses the production worker and women
worker ratios, average hourly earnings, and average weekly
hours calculated from the weighted average. In both cases,
the ratios, average hourly earnings, and average weekly
hours are held constant through the next benchmark.
Monthly estimation
CES uses a matched sample concept and weighted link
relative estimator to produce employment, hours, and
earnings estimates. These methods are described in table 2A. A matched sample is defined to be all sample members
that have reported data for the reference month and the
previous month. Excluded from the matched sample is any
sample unit that reports that it is out of business. This aspect
of the estimation methodology is more fully described in
the section on estimation of business births and deaths below.
Stratification, The sample is stratified into 688 estimation
cells for purposes of computing national employment, hours,
and earnings estimates. Cells are defined primarily by
detailed industry. In the construction supersector, geographic
stratification also is used. The estimation cells can be defined
at the 3-, 4-, 5~, and 6-digit NAICS levels.
In addition to the estimation cells mentioned above, there
are 40 independently estimated cells which do not aggregate
to the summary cell levels,
Weighted link-relative technique. The estimator for the
all-employee series uses the sample trend in the cell to move
the previous level to the current-month estimated level. A
model-based component is applied to account for the net
employment resulting from business births and deaths not
captured by the sample.
The basic formula for estimating all employees is:

+ (net birth I death estimate)*

190

Table 2-A... Summary of methods for computing industry statistics on employment, hours, and earnings estimates
Basic estimating cell
(industry, 6~digit
published level)

Aggregate industry level
(supersector and, where
stratified, industry)

Annual average data

All employees

All-employee estimate for previous month multiplied by weighted
ratio of all employees in current
month to all employees in previous
month, for sample establishments
that reported for both months plus
net birth/death model estimate,

Sum of all-employee estimates for
component cells.

Sum of monthly estimates divided
by 12.

Production or nonsupervisory workers,
women employees

All-empioyee estimate for current
month multiplied by (1) weighted
ratio of production or nonsupervisory workers to all
employees In sample establishments for current month, (2)
weighted ratio of women employees to all employees,,

Sum of production or nonsupervisory worker estimates, or estimates of women employees, for
component cells.

Sum of monthly estimates divided
by 12.

Average weekly hours

Production or nonsupervisory
worker hours divided by number
of production or nonsupervisory
workers.

Average, weighted by production
or nonsupervisory worker employment, of the average weekly
hours for component cells.

Annual total of aggregate hours
(production or nonsupervisory
worker employment multiplied by
average weekly hours) divided by
annual sum of production worker
employment.

Average weekly overtime
hours

Production worker overtime hours
divided by number of production
workers.

Average, weighted by production
worker employment, of the
average weekly overtime hours
for component cells.

Annual total of aggregate overtime
hours (production worker employment multiplied by average weekly
overtime hours) divided by annual
sum of production worker employment.

Average hourly earnings

Total production or nonsupervisory worker payroll divided
by total production or nonsupervisory worker hours.

Average, weighted by aggregate
hours, of the average hourly
earnings for component cells.

Annual total of aggregate payrolls
(production or nonsupervisory
worker employment multiplied by
weekly hours and hourly earnings)
divided by annual aggregate
hours.

Average weekly earnings

Product of average weekly hours
and average hourly earnings.

Product of average weekly hours
and average hourly earnings.

Product of average weekly hours
annual average and average
hourly earnings annual average.

Employment
hours?and
earnings

where:
= matched sample unit;

i

- weight associated with the CES report;
= current-month reported all employees;
=

AT

for the previous month when applying the numerical
factors.
Current-month estimate of production or nonsupervisory
workers (PW) is defined as:

previous-month reported all employees;

xPWRATIO,

= cuirent-month estimated all employees; and

A C

AE

~ previous-month estimated all employees.
where:

Weighted link and taper technique. The estimator used
for all non-all-employee data types accounts for the overthe-month change in the sampled units, but also includes a
tapering feature used to keep the estimates close to
the overall sample average over time. The taper is considered
to be a level correction. This estimator uses matched sample
data; it tapers the estimate toward the sample average for
the previous month of the current matched sample
before applying the current month's change; and it:
promotes continuity by heavily favoring the estimate



PWRATIO,, = a x PWRATIO,

AJ

)

\J

for all i"e/ andjeJ

"

)

\

Current-month estimate of women woxfcers (WW) is identical to that described for production workers, with the appropriate
substitution of women worker values for the production worker values in the previous formulas.
Cuirent-month estimate of average weekly hours (AWH) is defined as:

? w, xw/L, i—l 7 w,xwh
I

JL*

t

PJ I

\ £-i

J

s
PJ

PWp

PWp

Current-month estimate of average hourly earnings (AHE) is defined as:

AHEc =ax AHEP+ p x

V'

J W

J

for all i& Iandje/



192

where:
= previous-month estimated weekly hours;
i

=

a matched CES report;

1

= the set of all matched CES reports;

j

=

J

= the set of all matched CES reports where
the current month is atypical (NOTE: j
is a subset of I);

a matched CES report where the current
month is atypical;

AWH

= current-month estimated average weekly
hours;

AWH

= previous-month estimated average
weekly hours;

Prcj

-

current-month reported weekly payroll;

= previous-month reported weekly payroll;

= weight associated with the CES report;;
=
PWcJ

~

current-month reported production
workers;

PWPJ

= previous-month reported production
workers;
=* current-month reported production
workers, atypical record;
— previous-month reported production
workers, atypical record;

= previous-month reported weekly payroll,
atypical record;

AHECJ

= current-month estimated average hourly
earnings; and

AHE

= previous-month estimated average
hourly earnings.

fJ

Current-month estimate of overtime hours (OT) is
identical to that described for weekly hours, with the
appropriate substitution of overtime hours values for the
weekly hours values in the previous formula.

. = previous-month reported production
workers, atypical weekly hours (WH)
record;

Business birth and death estimation. In a dynamic
economy, firms are continually opening and closing. These
two occurrences offset each other to some extent. That is,
firms that are born replace firms that die. CES uses this fact
to account for a large proportion of the employment
associated with business births. This Is accomplished by
excluding such business death unitsfromthe matched sample
definition. Effectively, business deaths are not included in
the sample-based link portion of the estimate, and the implicit
imputation of their previous month's employment is assumed
to offset a portion of the employment associated with births.
There is an operational advantage associated with
this approach as well. Most firms will not report that
they have gone out of business; rather, they simply
cease reporting and are excluded from the link, as are all
other nonrespondentSe As a result, extensive follow-up
with monthly nonrespondents to determine whether a
company is out of business or simply did not respond is not
required.
Employment associated with business births will not
exactly equal that associated with business deaths. The
amount by which it differs varies by month and by
industry. As a result, the residual component of the birth/
death offset must be accounted for by using a model-based
approach.

current-month estimated production
workers;

= previous-month estimated production
workers;
=

current-month reported weekly hours;

wh

~ previous-month reported weekly hours;;

wh*cj

-

current-month reported weekly hours,
atypical record;

~ previous-month reported weekly hours5
atypical record;
= current-month reported weekly hours,
atypical payroll (PR) record;
= previous-month reported weekly hours,
atypical payroll (PR) record;

WH,

pr PJ

? = current-month reported production
workers, atypical weekly hours (WH)
record;

=

p,i

current-month reported weekly payroll,
atypical record;

= current-month estimated weekly hours;




193

With any model-based approach, it is desirable to have 5
or more years of history to use in developing the models.
Due to the absence of reliable counts of monthly business
births and deaths, development of an appropriate birth/death
residual series assumed the following form:
Birth-death residual - Population - San^ple-based estimate
+ Error
During the net birth/death modeling process, simulated
monthly probability estimates over a 5-year period are
created and compared with population employment levels.
Moving from a simulated benchmark, the differences
between the series across time represent a cumulative birth/
death component. Those residuals are converted to monthto-month differences and used as input series to the modeling
process.
Models are fit using X-12 ARIMA (Auto-Regressive
Integrated Moving Average). Outliers, level shifts,
and temporary ramps are automatically identified. Seven
models are tested, and the model exhibiting the lowest
average forecast error is selected for each series. Table 2-B
shows the net birth/death model figures for the postbenchmark period of April 2004 to October 2004 by
supersector.

The raking adjustment follows the following
methodology: Estimates are derived independently for the
residential and nonresidential groups at the 4-digit NAICS
level for each region. The regional estimates are rounded
and summed to the 4-digit NAICS level for both the
residential and nonresidential groups. Within each 4-digit
NAICS series, ratios of residential-to-total employment and
nonresidential~to-total employment are calculated
At the 4-digit NAICS level, the sum of the residential/
nonresidential series is subtractedfromthe official industryregion cell structure total to determine the amount that must
be raked. The total amount that must be raked then is
multiplied by the ratios to determine what percentage of the
raked amount should be applied to the residential group and
what percentage should be applied to the nonresidential
group.
Once the residential and nonresidential groups receive
their proportional amount of raked employment, the two
groups are aggregated again to the 4-digit NAICS level. At
this point, they are equal to the 4-digit NAICS total derived
from the official industry-region cell structure. This raking
process also forces additivity at the 3-digit NAICS level.
No estimates of hours and earnings are made for the
residential and nonresidential series.

Residential and nonresidential specialty trade contractors
THE SAMPLE
estimates. Residential and nonresidential specialty trade
contractors estimates are produced as sub-breakouts in
Design
specialty trade contractors (NAICS 238) under the standard
The CES sample is a stratified, simple random sample of
NAICS coding structure. Benchmarks for these series are
worksites, clustered by UI account number. The UI account
developed from the QCEW data and independent estimates
number is a major identifier on the BLS longitudinal database
for these series are made on a monthly basis and raked to
of employer records, which serves as both the sampling frame
the estimates produced under the standard structure to ensure and the benchmark source for the CES employment
that the sum of the residential specialty trade contractors
estimates. The sample strata, or subpopulations, are defined
and nonresidential specialty trade contractors series is
by State, industry, and employment size, yielding a Stateconsistent with the published total for specialty trade
based design. The sampling rates for each stratum are
contractors at the 3-digit NAICS level.
determined through a meithod known as optimum allocation,
Table 2-B. Net birth/death estimates for private nonfarm industries, post-benchmark 2004
(In thousands)

Year and month

2004:
April
May
June
July
August
September
October
November
December
CumulativeTotat




,

Natural
resources

Trade,
ProfesTotal
transsional Educa- Leisure
monthly
tion and
and
ConManu- portation, Infor- Financial and
Other amount
hos- services construction facturing and
mation activities business health
and
mining
utilities
services services pitality
tributed

0
1
1
0
1
0
0
0
0

38
39
31
-7
16
10
2
-7
-7
115

3
8
7
-22
4
6
-10
2
2

15
26
20
-25
18
19
11
13
19

2
3
1
-6
3
-2
2
2
2

116

194

10
7
8
-12
8
4
8
5
13

66
26
24
-32
24
14
41
-5

51

167

37
11
-2
-10
17
15

9
6
7

8

45
77
84
45
27
-24
-25
-12
16

-11
5
2
-3
2
4

225
204
181
-80
123
44
55
9
66

114

233

21

827

29
9

to collect, cells that have more units, and cells that have a
larger variance.
During the first quarter of each year, a new sample is
drawn from the LDB. Annual sample selection helps keep
the CES survey current with respect to employment from
business births and business deaths. In addition, the updated
universe files provide the most recent information on
industry, size, and metropolitan area designation.
After all out-of-scope records are removed, the sampling
frame is sorted into allocation cells. Within each allocation
cell, units are sorted by metropolitan statistical area (MSA)
and by the size of the MSA, defined as the number of UI
accounts in that MSA. As the sampling rate is uniform across
the entire allocation cell, implicit stratification by MSA
ensures that a proportional number of units are sampled from
each MSA. Some MSAs may have too few UI accounts in
the allocation cell; these MSAs are collapsed and treated as
a single MSA. Within each selection cell, the units are sorted
by PRN, and units are selected according to die specified
sample selection rate. The number of units selected randomly
from each selection cell is equal to the product of the sample
selection rate and the number of eligible units in the cell,
plus any carryover from the prior selection cell. The result
is rounded to the nearest whole number. Carryover is defined
as the amount that is rounded up or down to the nearest
whole number.
As a result of the cost and workload associated with
enrolling new sample units, all units remain in the sample
for a minimum of 2 years. To insure that all units meet this
minimum requirement, BLS has established a "swapping in"
procedure. The procedure allows units to be swapped into
the sample that were newly selected during the previous
sample year and not reselected as part of the current
probability sample. The procedure removes a unit within
the same selection cell and places the newly selected unit
from the previous year back into the sample.

which distributes a fixed number of sample units across a
set of strata to minimize the overall variance, or sampling
error, on the primary estimate of interest. The total nonfarm
employment level is the primary estimate of interest, and.
the CES sample design gives top priority to measuring it as;
precisely as possible, or, in other words, minimizing the
statistical error around the statewide total nonfarm.
employment estimates.
Frame and sample selection. The longitudinal data base
(LDB) is the universe from which BLS draws the CES
sample. The LDB contains data on the approximately 8
million ILS, business establishments covered by UI,
representing nearly all elements of the U.S. economy. The:
Quarterly Census of Employment and Wages (QCEW), or
ES-202, program collects these data from employers, on a
quarterly basis, in cooperation with State workforce agencies
The LDB contains employment and wage information from
employers, as well as name, address, and location
information. It also contains identification information such
as unemployment insurance (UI) account number and
reporting unit or worksite number.
The LDB contains records of all employers covered
under the unemployment insurance tax system. The system
covers 97 percent of all employers in the 50 States, the:
District of Columbia^ Puerto Rico, and the Virgin Islands.,
There are a few sections of the economy that are not covered,
including the self-employed, unpaid family workers,,
railroads, religious organizations, small agricultural
employers, and elected officials. Data for employers;
generally are reported at the worksite level. Employers who
have multiple establishments within a State usually report
data for each individual establishment. The LDB tracks
establishments over time and links them from quarter to
quarter.
Permanent random numbers (PRNs) have been assigned
to all UI accounts on the sampling frame. As new unite:
appear on the frame, random numbers are assigned to thos*e
units as well. As records are linked across time, the PRN is;
carried forward in the linkage.
The CES sample is stratified by State, industry, and size.
Stratification groups population members together for the
purpose of sample allocation and selection. The strata, or
groups, are composed of homogeneous units. With 13
industries and 8 size classes, there are 104 total allocation
cells per State. The sampling rate for each stratum Is
determined through a method known as optimum allocation,
Optimum allocation minimizes variance at a fixed cost or
minimizes cost for a fixed variance. Under the CES
probability design^ a fixed number of sample units for each
State is distributed across the allocation strata in such a way
as to minimize the overall variance, or sampling error, of
the total State employment level The number of sample
units in the CES probability sample was fixed according to
available program resources* The optimum allocation
formula places more sample in cells for which data cost less;



Selection weights. Once the sample is drawn, sample
selection weights are calculated based on the number of UI
accounts actually selected within each allocation cell. The
sample selection weight is approximately equal to the inverse
of the probability of selection, or the inverse of the sampling
rate. It is computed as:
Sample selection weight = Nh / n^
where:
Nh - the number of noncertainty UI accounts within
the allocation cell that are eligible for sample
selection; and
nh = the number of noncertainty UI accounts
selected within the allocation cell
Sample Rotation. Sample rotation eases the burden on respondents who have been participating in the survey for an
extended time period A 25-percent rotation is utilized in

195

Table 2-C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2004
Sample coverage

Industry

Total
Natural resources and mining
Construction
Manufacturing
Trade, transportation, and utilities ...
Information
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other services
Government

Employment
benchmarks
(thousands)

Unemployment
insurance
counts

Number of
establishments'

130,019

149,144

570
6,551
14,220
25,130
3,126

1,303
12,411
17,541
3
25,294
3,103
7,875
19,981
16,059
14,902

7,966
15,995
16,988
12,077
5,404
21,992

6,680
23,995

1

Employees
Number
(thousands) 2

Percent of
employment
benchmarks

386,061

42,542

33

2,366
14,543
24,579
3
109,235
14,833
56,155
40,871
36,795
37,988
11,219
37,477

158
765
4,921
6,510
939
1,942
3,139
5,545
2,337

28
12
35
26
30
24
20
33
19
8
72

442
15,844

2

Counts reflect active sample reports. Because not all
establishments report payroll and hours information, hours and
earnings estimates are based on a smaller sample than are the
employment estimates.

Average employment of reported values for 2004.
The Surface Transportation Board provides a complete count of
employment for Class I railroads plus Amtrak. A small sample is
used to estimate hours and earnings data.

selection cells with weights greater than 2.00. Units that
rotate out of the sample will not be reselected as part of the
sample for 3 years. In an effort to keep units from moving
back into the sample after a single year, a "swap out" procedure has been established. The "swap out" procedure
removes units from the current sample that had been rotated
out of the sample within the last 3 years and replaces
them with other units within the selection cell eligible for
sample selection. As a result of sample rotation, approximately 68 percent of the Current Employment Statistics
sample for the private industries overlaps from one year to
the next.

- the company cannot report for all worksites from a
central location;

3

- the company cannot provide an aggregate report for
the entire UI account;
- there are too many individual worksites to make it
practical to contact each of them.
With subsampling of a smaller number of worksites, both
interviewer workload and respondent burden are reduced
without 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, weight
adjustments are made to reflect each of the worksites'
probability of selection.

Frame maintenance and sample updates. Due to the
dynamic economy, there is a constant cycle of business births
and deaths. A semiannual update is performed during the
third quarter of each year. This update selects units from the
population of births and other units not previously eligible
for selection, and includes them as part of the sample.
Updated location, contact, and administrative information
is provided for all establishments that were selected in the
annual sample selection.

Coverage
Table 2-C shows the latest benchmark employment levels
and the approximate proportion of total universe employment
coverage at the total nonfarm and major industry supersector
levels. The coverage for individual industries within the
supersectors may vary from the proportions shown.
Reliability
The establishment survey, like other sample surveys, is
subject to two types of error, sampling and nonsarnpling error.
The magnitude of sampling error, or variance, is directly
related to the size of the sample and the percentage of
universe coverage achieved by the sample. The establishment
survey sample covers over one-third of total universe
employment; this yields a very small variance for the total
nonfarm estimates. Measurements of error associated with
sample estimates are provided in tables 2-D through 2-F.

Subsampling.
The primary enrollment of new
establishments takes place in BLS regional office data
collection centers (DCCs). After the sample has been sent
to the DCCs, interviewers enroll the selected establishments.
While the UI account is the sample unit, interviewers attempt
to collect the data for all individual establishments within a
UI account.
For multiple-worksite UI accounts, it is sometimes
necessary to subsample employers. This occurs when:



196

Table 2-D. Errors of preliminary employment estimates

Industry

Rootmeansquare
error of
monthly
level1

and may be slightly larger for the more detailed industry
groupings.

Mean percent
revision
Actual

Variance estimation. The estimation of sample variance for
the CES survey is accomplished through use of the method
of balanced half samples (BHS). This replication technique
uses half samples of the original sample and calculates
estimates using those subsamples. The sample variance is
calculated by measuring the variability of the subsample
estimates. The weighted link estimator is used to calculate both estimates and variances. The sample units in each
cell—where a cell is based on State, industry, and size
classification—are divided into two random groups. The
basic BHS method is applied to both groups. The subdivision
of the cells is done systematically, in the same order as the
initial sample selection. Weights for units in the half sample
are multiplied by a factor of 1 + y where weights for units
not in the half sample are multiplied by a factor of 1 - y.
Estimates from these subgroups are calculated using the
estimation formula described previously.
The formula used to calculate CES variances is as follows;

Absolute

Total ..................................

53,100

0

Total private .............................

43,700

0

Government
Federal...........
Federal, except U.S. Postal
Service
U.S. Postal Service...............
State government....................
State government education
State government, excluding
education............................
Local government
Local government education
Local government, excluding
education............................

28,800
14,000

0
.1

.1
.3

12,300
6,000
12,700
12,900

.2
-.1
0
0

.4
.3
.2
.5

5,300
21,600
22,200

0
0
0

.1
.1
2,

8,500

1

The root-mean-square error is the square root of the mean squared
error. The mean squared error is the square of the difference between
the final and preliminary estimates averaged across a series of
monthly observations.
NOTE: Errors are based! on differences from January 2000 through
October 2004.

Benchmark revision as a measure of survey error. The
sum of sampling and nonsampling error can be considered
total survey error. Unlike most sample surveys which publish
sampling error as their only measure of error, the CES can
derive an annual approximation of total error, on a lagged
basis, because of the availability of the independently derived
universe data. While the benchmark error is used as a
measure of total error for the CES survey estimate, it actually
represents the difference between two independent estimate:!
derived from separate survey processes (specifically, the CES
sample process and the UI administrative process) and thus
reflects the errors present in each program. Historically, the
benchmark revision has been very small for total nonfarm
employment. Over the past decade, percentage benchmark
error has averaged 0.2 percent, with an absolute range from
less than 0.05 percent to 0.5 percent

x ? a ' " " 7 i s the half-sample estimator;
k

~ number of half-samples; and

0

= original full-sample estimates.

Appropriate uses of sampling variances. Variance statistics
are useful for comparison purposes, but they do have some
limitations. Variances reflect the error component of the
estimates that is due to surveying only a subset of the
population, rather than conducting a complete count of the
entire population. However, they do not reflect nonsampling
error, such as response errors, and bias due to nonresponse.
The overall performance of the CES employment estimates
is best measured in terms of the benchmark revisions. The
variances of the over-the-month change estimates are very
useful in determining when changes are significant at some
level of confidence. Variance statistics for first-closing
estimates are provided in Table 2-F. In addition, variances
for second- and third-closing estimates are available upon
request.

Revisions between preliminary and final data. First
preliminary estimates of employment, hours, and earnings,
based on less than the total sample, are published
immediately following the reference month. Final revised
sample-based estimates are published 2 months later when
nearly all the reports in the sample have been received. Table
2-D presents the root-mean-square error, the mean percent,
and the mean absolute percent revision that may be expected
between the preliminary and final employment estimates.
Revisions of preliminary hours and earnings estimates
are normally not greater than 0.1 hour for weekly hours and
1 cent for hourly earnings, at the total private nonfarm level,



where:

Sampling errors. The sampling errors shown for total
nonfarm and for total private industries have been calculated
for estimates that follow the benchmark employment revision
by a period of 16 to 20 months. The errors are presented as
median values of the observed error estimates. These
estimates have been estimated using the method of balanced
half samples with the probability sample data and sample
weights assigned at the time of sample selection.
197

Illustration of the use of table 2-E. Table 2-E provides a
reference for relative standard errors of three major series
developed from the CES—estimates of the number of all
employees (AE), of average weekly hours (AWH), and of
average hourly earnings (AHE) within the same industry.
The standard errors of differences between estimates in
two non-overlapping industries are calculated as:
S difference =
since the two estimates are independent.
The errors are presented as relative standard errors
(standard error divided by the estimate and expressed as a
percent). Multiplying the relative standard error by its
estimated value gives the estimate of the standard error.
Suppose that the level of all employees for financial
activities in a given month is estimated at 7,819,000. The
approximate relative standard error of this estimate (0.4
percent) is provided in table 2-E. A 90-percent confidence
interval would then be the interval:

Small-domain model The small-domain model consists of
a weighted sum of three different relative over-the-month
change estimates, L}, L2, and L3 • These three relative
over-the-month change estimates are then weighted based
on the variance of each of the three estimates. The larger the
variance of each L^ estimate relative to the other L^
variances, the smaller the weight. The resulting estimate of
current-month employment v. is defined as:

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 a
reference for the standard errors of 1-, 3-, and 12-month
changes in AE, AWH, and AHE. The errors are presented as
standard errors of the changes.
Suppose that the over-the-month change in AHE from
January to February in coal mining is $0.11. The standard
error for a 1-month change for coal miningfromthe table is
$0.22. The interval estimate of the over-the-month change
in AHE that will include the true over-the-month change
with 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 the
interval -$0.25 to $0.47. Because this interval includes $0.00
(no change), the change of $0.11 shown is not significant at
the 90-percent confidence level. Alternatively, the estimated
change of $0.11 does not exceed $0.36 (1.645 * $0.22);
therefore, one could concludefromthese data that the change
is not significant at the 90-percent confidence level.
STATISTICS FOR STATES, AREAS, AND
DIVISIONS
(Tables B-7, B-14, B-15, B-19, and B-20)

As explained earlier, State agencies in cooperation with BLS
collect and prepare State, area, and division employment,
hours, and earnings data. These statistics are based on the



same establishment reports used by BLS. However, BLS
uses the full CES sample to produce monthly national
employment estimates, while each State agency uses its
portion of the sample to independently develop a State
employment estimate.
The CES area statistics relate to metropolitan areas and
divisions. Definitions for all areas are published each year
in the issue of Employment and Earnings that contains State
and area annual averages (usually the May issue). Changes
in definitions are noted as they occur.
Estimates for States and areas are produced using two
methods. The majority of State and area estimates are
produced using direct sample-based estimation. However,
published area and industry combinations (domains) that do
not have a large enough sample to support estimation using
only sample responses are estimated by using a small-domain
model.

198

where:
current-month t employment estimate for domain
ia defined by the intersection of industry i and
area a;
L
iat,l ~~ current-month relative over-the-month change
estimate based on available sample responses
for domain ia;
Wiat\ = current-month weight assigned to Liatj based
on the variances of Liaii, Lim2, and Liat$
(The weights Wim2 and WiGt3 are defined
similarly.);
Yiat

-

current-month relative over-the-month change
estimate based on time series forecasts using
historical universe employment counts for
domain ia. (These historical universe
employment counts are available from January
1990 to 12 months prior to the current month
t);
L
iat,3 "" current-month relative over-the-month change
estimate based on a synthetic estimate of the
relative change that uses all sample responses
in the State that includes area a, for industry i;
and
*„! = previous-month employment estimate for
domain ia from the small-domain model.

It is possible that for a given industry i and area a, one or
even two of the inputs Liatk to the model are assigned
weights of 0. The reasons for assigning a weight of 0 to a
model input are due to concerns regarding the stability of
the inputs. For example, if Liat\ or L(at$ has five or fewer
responses, then it is assigned a weight of 0o If Lia^2 exhibits
an 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 one
or two of the three described inputs.
Sampling errors are not applicable to the estimates made
using the small-domain models. The measure available to
judge the reliability of these modeled estimates is their
performance over past time periods compared with the
universe values for those time periods. These measures are
useful; however, it is not certain that the past performance
of the modeled estimates accurately reflects their current
performance,,
It should also be noted that extremely small estimates of
2?000 employees or less are potentially subject to large;
percentage revisions that are caused by occurrences such as
the relocation of one or two businesses or a change in the
activities of one or two businesses. These are noneconoimc




classification changes that relate to the activity or location
of businesses and will be present for sample-based estimates
as well as the model-based estimates.
Error measures for State and area estimates are available
on the BLS Web site at http://www.bls.gov/sae/
790stderr,htm.
Caution in aggregating State data. The national estimation
procedures used by BLS are designed to produce accurate
national data by detailed industry; correspondingly, the State
estimation procedures are designed to produce accurate data
for each individual State. State estimates are not forced to
sum to national totals nor vice versa. Because each State series is subject to larger sampling and nonsampling errors than
the national series, summing them cumulates individual State
level errors and can cause distortion at an aggregate level
This has been a particular problem at turning points in the
U.S. economy, when the majority of the individual State errors tend to be in the same direction. Due to these statistical
limitations, the Bureau does not compile or publish a
"sum-of-States" employment series. Additionally, BLS
cautions users that such a series is subject to a relatively large
and volatile error structure, particularly at turning points.

199

Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings in selected indystries 1
(Percent)
Relative standard error
Industry
All employees

Average weekly hours

Average hourly earnings

0.1

<*)

a

Total private

0.1

0.2

0.2

Goods-producing

0.3

0,4

0.3

Natural resources and mining
Logging
Mining
OH and gas extraction
Mining, except oil and gas
Coalmining
Support activities for mining

1.3
4.6
1.3
3.0
1.6
2.4
2.7

1.4
3.3
1.6
4.0
1.3
2.3
3.1

1.5
3.9
1.6
4.7
1.5
2.6
3.8

Construction
Construction of buildings
Residential building
Nonresidential building
Heavy and civil engineering construction
Specialty trade contractors
Residential specialty trade contractors
Nonresidential specialty trade contractors...

0.5
1.2
1.7
1.9
1.9
0.7
1.2
1.4

1,4
0.8
1.1
1.1
0.8
2.1
(3)
(3)

0.4
0.9
1.3
1.0
1.0
0,6
(3)
<3)

Manufacturing

0.3

0.2

0.4

Durable goods
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products
Computer and peripheral equipment
Communications equipment
Semiconductors and electronic components
Electronic instruments
Electrical equipment and appliances
Transportation equipment
Motor vehicles and parts
Furniture and related products
Miscellaneous manufacturing
,.,

0.3
1.1
1.1
0.8
0.7
0.7
0.8
2.2
2.7
1.0
1.2
1.2
1,0
1.4
1.1
1.0

0.3
0.7
1.2
0.9
0.5
0.7
0.8
2.4
1.9
1.6
1.5
1.1
0.8

0.5
1.2
1.2
0.9
0.7
1.2
2,5
10.0
5.9
2.1
2.0
1.1
1.2

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

Total nonfarm

Plastics and rubber products
Service-providing
Private service-providing
Trade, transportation, and utilities
Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and brokers
See footnotes at end of table.



200

0.9

1.5

1.1
1.1

0.8
1.1

0.4
0.8
1.9
3.4
4.9
2.6
3.3
1.3
1.0
2.2
1.0
0.8

0,4
0.9
2.9
1.2
1.8
1.7
2.4
1.3
1.0
2.3
1.2
1.0

0.5
0.7
5.5
0.9
1.8
1.4
4.4

0.2

(*)

(2)

0.2

0.1

0.3

0.3

0.3

0.4

0.6
0.7
1.2
1.8

0.5
0.6
1.1
1.7

1.0
1.1
1.3

1.1
1,0
3,0
1.6
1.0

3.6

Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings in
selected Industries1—Continued
(Percent)
Relative standard error
Industry
All employees

Average weekly hours

Average hourly earnings

Retail trade
,...,..„.
Motor vehicle and parts dealers ...
Automobile dealers
Furniture 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

0.4
0.6
0.6
1.6
2.1
1.0
0.8
1.3
1.0
1.4
2.1
1.8
1.9
1.5
2.3

0.4
0.9
1,4
2.4
2.6
1.4
0.6
1.4
1.6
2.1
2.1
1.0
1.7
1.4
1.6

0.4
1.4
1.7
2.7
3.4
1.3
1.2
2.2
1.2
2.1
1.9
2.2
1.7
1.4
1.9

Transportation and warehousing.......
Air transportation
Rail transportation
Water transportation
Truck transportation...
Transit and ground passenger transportation.......
Pipeline transportation
Scenic and sightseeing transportation .................
Support activities for transportation
Couriers and messengers
Warehousing and storage .................

0.6
1.5
1.5
6.0
1.0
2.6
4.2
10.9
1.6
2.1
1.5

1.0
2.9
(3)
4.0
1.4
2.4
11.2
1.8
5.4
2.0

1.3
5.9
(3)
5.7
1.5
1.7
3.3
6.5
2.0
4.3
2.2

Utilities.....................................................................

0.7

1.0

1.5

Information
Publishing industries, except Internet
Motion picture and sound recording industries.....
Broadcasting, except Internet.
...
Internet publishing and broadcasting
Telecommunications...
.,
ISPs, search portals, and data processing
Other information services
,

0.9
1.0
4.2
1.0
5.0
1.6
1.9
3.1

1.1
1.4
8.3
1.3
5.6
1.2
1.5
7.9

1.5
4.1
4.1
3.8
7.2
1.5
4.0
7,7

Financial activities
..........................
Finance and insurance
Monetary authorities - central bank.......................
Credit intermediation and related activities
Depository credit intermediation........................
Securities, commodity contracts, investments.......
Insurance carriers and related activities
Funds, trusts, and other financial vehicles
,
Real estate and rental and leasing
,
Real estate
„
Rental and leasing services
Lessors of nonfinancial intangible assets

0.4
0.4
2.2
0.8
0.8
1.0
1.5
0.5
4.4
0.8
0.9
1.9
4.8

0.4
0.5
3.6
0.8
0.9
1.3
1.3
0.9
3.3
0.8
1.0
1.9
3.3

1.0
1.2
3.7
2.7
2.6
3.5
3.4
1.1
6.7
1.1
1.4
1.7
3.6

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 consulting services
Management of companies and enterprises

0.5
0.5
0.7
2,0
1.0
1.8
2.0
1.1

0.4
0.4
0.6
1.7
0.6
1.0
1.4
1.4

0.5
0.8
2.0
1.7
1,1
2,1
1.9
2.0

Commercial banking

,

See footnotes at end of table.



201

3.9

Table 2~E. Relative standard errors for first-closing estimates of employment, hours, and earnings in
selected industries1—Continued
(Percent)
Relative standard error
Industry
Ail employees
Administrative and waste services
Administrative and support services
Employment services
Temporary help services
Business support services
Services to buildings and dwellings
Waste management and remediation services

Average wee

Average hourly earnings

0.9
0.9
1.7
1.6
1.9
1.2
2.2

0.5
0.5
0.9
1.2
1.3
1.2

1.7

1.0
1.1
2.0
1.7
1.8
0.9
3.0

0.3
1.1
0.2
0.2
0.4
0.5
1.5
1.6
0.3
0.5
0.4
0.8
1.3

0.3
1.3
0.3
0.4
0.5
0.6
2.1
1.7
1.0
0.5
0.6
0.9
1.6

0.4
1.2
0,5
0.5
1.2
2.5
1.3
3.1
0.7
0.4
0.6
1.6
4.4

Leisure and hospitality
Arts, entertainment, 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

0.4
1.9
3.9
3.0
2.6
0.4
1.0
0.4

0.4
1.4
3.4
1.6
0.5
0.9
0.5

0.7
2.2
4.8
2.6
2.4
0.6
2.0
0.5

Other services
Repair and maintenance
Personal and laundry services
Membership associations and organizations

1.4
0.9
1.0
2.8

1.3
0.8
1.0
2.7

2.1
1.0
1.4
3.6

Education and health services
Educational services
Health care and social assistance
Healthcare
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

,

1
Estimates of variance are not available for government sectors
due to lack of historical probability-based estimates.




202

2
3

2.6

Hours and earnings estimates are not published.
Estimates are not available as a result of confidentiality standards.

Table 2-R Standard errors for change In levels of first-closing estimates of employment, hours, and earnings in selected industries 1
Standard error
1-month change
industry

Average
weekly
ployees hours
All

em-

Standard error
3-month change

Standard error
12-inonth change

All
Average Average
AH
Average Average
Average
hourly
weekly
hourly
emweekly
hourly
emearnings ployees
hours earnings ployees hours earnings

C2)

100,900

0

(2)

207,400

(2)

(2)

0.02

90,300

0.04

0.02

172,000

0.06

0.04

0.06

0.02

30,000

0.09

0.04

52,400

0.18

0.06

3,400
900
3 f 100
1,000
1,100
600
2,600

0.43
1.08
0.46
1.28
0.34
0.76
0.88

0.09
0.20
0.10
0.20
0.13
0.23
0.18

5,000
1,700
4,400
2,000
2,000
1,100
3,200

0.57
1.33
0.63
1.92
0.51
0.96
1.17

0.18
0.38
0.19
0.49
0.18
0.31
0.36

8,200
2,900
7,300
4,300
3,100
1,900
4,800

0.72
1.46
0.79
1.83
0.68
1.21
1.66

0.31
0.57
0.36
0.85
0.32
0.51
0.67

Construction
....
Construction of buildings
Residential building ..............................
Nonresidential building .........................
Heavy and civil engineering construction.
Specialty trade contractors
Residential specialty trade contractors .
Nonresidential specialty trade
contractors.,.
...

14,600
5,900
4,400
4,300
4,800
12,500
8,000

0.13
0.22
0.33
0.28
0.33
0.16

0.05
0.08
0.11
0.11
0.10
0.06
(2)

23,300
9,600
7,000
7,000
8,600
21,000
11,900

0.21
0.29
0.42
0.38
0.39
0.28
(2)

0.08
0.11
0.14
0.16
0.15
0.12
(2)

37,600
18,600
12,600
12,600
12,800
29,200
19,100

0.50
0.39
0.50
0.51
0.42
0.76
(2)

0.08
0.16
0,21
0.24
0.19
0.14
(2)

(2)

13,800

(2)

(2)

27,500

(2)

(2)

Manufacturing..................................................

11,400

0.06

0.02

19,300

0.08

0.03

33,500

0.11

0.07

Durable goods
Wood products
Nonmetallic mineral products...................
Primary metals.........................................
Fabricated metal products........................
Machinery................................................
Computer and electronic products ...........
Computer and peripheral equipment....
Communications equipment

8,600
2,400
2,600
1,300
3,900
2,500
2,200
700
800

0.08
0.28
0.39
0.26
0.16
0.20
0.22
0.29
0.44

0.03
0.06
0.10
0.10
0.04
0.06
0.10
0.24
0.22

14,500
3,400
3,700
2,300
6,000
4,400
4,400
1,400
1,500

0.10
0.28
0.48
0.32
0.20
0.27
0.24
0.62
0.53

0.05
0.09
0.13
0.13
0.07
0.08
0.17
0.61
0.32

24,300
5,700
4,800
3,300
10,200
7,800
8,300
3,500
3,300

0.13
0.33
0.64
0.54
0.26
0.32
0.41
1.13
0.86

0.09
0.16
0.24
0.20
0.11
0.18
0.36
1.72
0.78

Electronic instruments
...
Electrical equipment and appliances........
Transportation equipment .........................
Motor vehicles and parts ..........................
Furniture and related products .................
Miscellaneous manufacturing...................

1,200
1,200
1,200
5,100
4,600
2,100
2,000

0.38
0.22
0.29
0.21
0.27
0.29
0.23

0.13
0.13
0.07
0.09
0.11
0.06
0.07

2,300
2,500
3,000
8,300
7,500
3,700
3,800

0.44
0.37
0.40
0.34
0.48
0.35
0.31

0.21
0.20
0.11
0.17
0.22
0.08
0.09

4,100
4,400
5,200
15,200
14,500
6,500
6,600

0.68
0.57
0.43
0.37
0.44
0.56
0.46

0.32
0.39
0.18
0.33
0.42
0.11
0.15

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

7,600
5,100
2,300
900
1,600
2,600
400
1,400
2,400
900
2,000
2,100

0.11
0.24
0.67
0.25
0.48
0.41
0.67
0.33
0.23
0.61
0.27
0.22

0.03
0.05
0.21
0.06
0.09
0.07
0.14
0.12
0.07
0.25
0.08
0.05

12,500
7,600
2,700
1,900
3,900
4,200
800
2,400
3,700
1,500
3,200
3,700

0.14
0.31
0.96
0.38
0.68
0.53
0.82
0.42
0.30
1.06
0.34
0.32

0.05
0.07
0.45
0.09
0.14
0.09
0.23
0.14
0.10
0.37
0.15
0.07

22,400
12,000
3,900
4,400
9,200
7,400
1,200
5,800
5,700
2,100
9,100
7,300

0.20
0.53
1.06
0.51
1.14
0.68
0.99
0.58
0.43
1.47
0.56
0.52

0.10
0.11
1.09
0.17
0.24
0.15
0.42
0.21
0.17
0.55
0.43
0.13

Service-providing..............................

59,700

w

(2)

98,000

(2)

(2)

196,700

(2)

(2)

51,600

0.03

0.02

87,000

0.04

0.03

158,900

0.06

0.04

62,800

f)

55?200

0.03

Goods-producing...............................

18,900

Natural resources and mining
Logging.................................................
Mining..........................................................
Oil and gas extraction...............................
Mining, except oil and gas........................
Coal mining...........................................
Support activities for mining.....................

Total nonfarm
Total private .................

Semiconductors and electronic
components ........................................

Private service-providing ...............

8,500

See footnotes at end of table.



203

Table 2-R Standard errors for change in levels of first-closing estimates of employment, hours, and earnings in selected
industries1—Continued
Standard error
1-month change
Industry

Standard error
3-month change

All

Average Average
weekly
hourly
ployees hours earnings

em-

Standard error
12- month change

All

Average Average
All
Average Average
weekly
hourly
weekly
hourly
employees
hours earnings ployees hours earnings

em-

21,900

0.05

0.03

40,800

0.07

0.04

69,200

0.12

0.07

Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and brokers

9,100
5,500
5,800
2,900

0.11
0.13
0.20
0.30

0.07
0.10
0.09
0.24

14,900
8,500
10,500
4,700

0.15
0.19
0.28
0.43

0.11
0.15
0.12
0.45

30,400
18,500
21,700
9,700

0.24
0.26
0.44
0.68

0.18
0.24
0.21
0.80

Retail trade
Motor vehicle and parts dealers
Automobile dealers
Furniture 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

18,400
3,600
2,700
2,600
3,100
4,000
6,100
4,500
3,600
6,700

0.07
0.16
0.21
0.30
0.37
0.24
0.11
0.27
0.23
0.24

0.03
0.13
0.15
0.18
0.18
0.08
0.03
0.11
0.05
0.08

33,100
5,500
4,000
4,600
5,600
7,800
11,900
5,700
4,600
10,400

0.10
0.23
0.30
0.37
0.47
0.36
0.18
0.36
0.30
0.34

0.04
0,18
0.25
0.21
0.26
0.11
0.05
0.16
0.07
0.14

61,400
9,200
6,300
8,300
9,100
11,000
20,900
10,600
7,500
16,500

0.14
0.33
0.47
0.64
0.81
0,56
0.24
0.47
0.51
0.73

0.06
0.23
0.29
0.36
0.65
0.17
0.10
0.25
0.11
0.23

4,200
9,500
7,900
3,900
3,000

0.33
0.20
0.28
0.23
0.33

0.08
0,05
0.06
0.07
0.11

7,500
15,400
15,100
6,100
5,900

0.42
0.26
0.41
0.30
0.51

0.14
0.08
0.11
0.11
0.19

11,600
47,000
27,700
10,500
9,700

0.59
0.28
0.47
0.46
0.64

0.19
0.22
0.17
0.18
0.30

Transportation and warehousing
Air transportation
Rail transportation
Water transportation
Truck transportation
Transit and ground passenger
transportation
Pipeline transportation
Scenic and sightseeing transportation
Support activities for transportation
Couriers and messengers

10,000
2,000
1,300
1,100
4,700

0.18
0.50
(3)
0.93
0.29

0.06
0.20
(3)
0.39
0.08

13,800
3,000
2,100
2,000
6,900

0.22
0.65
1.51
0.37

P)

0.10
0.52
(3)
0.66
0.12

23,200
6,700
2,900
3,200
11,200

0.41
1.25
(3)
1.93
0.68

0.20
1.17
(3)
0.98
0.22

3,700
300
1,200
3,500
3,300
3,400

0.51
0.57
1.55
0.33
0.49
0.43

0.12
0.26
0.29
0.14
0.19
0.15

4,400
400
1,900
4,700
4,600
5,900

0.65
1.10
2.74
0.50
0.65
0.63

0.17
0.45
0.71
0.25
0.32
0.21

10,300
1,200
3,500
7,600
10,400
8,700

0.85
1.32
3.70
0.68
1.21
077

0.27
0.83
1.09
0.37
0.60
0.41

1,300

0.23

0.12

1,700

0.29

0.28

3,200

0.44

0.40

6,200
2,100

0.14
0.20

0.10
0.20

12,500
3,700

0.20
0.31

0.17
0,53

23,400
7,000

0.38
052

0.39
1.06

5,000
1,500
300
3,000

0.69
0.24
0.71
0.29

0.43
0.18
0.67
0.16

8,800
1,900
700
5,600

0.93
0.28
1.20
0.42

0.48
0.32
1.27
0.24

17,000
3,000
1,400
10,100

2.09
0.50
2.14
0.60

1.05
0.85
1.86
0.36

2,100
500

0,34
0.57

0.26
0.25

3,700
900

0.44
1.19

0.43
0.54

6,800
1,300

0.54
1.96

0.86
1.10

10,800
7,700
100

0.09
0.10
0.39

0.07
0.10
0.11

15,500
11,900
500

0.11
0.12
1.02

0.10
0.13
0.58

30 t 100
22,800
300

0.19
0.23
1.36

0.18
0.22
1.05

5,400
2,600
2,300

0.15
0,18
0.24

0.14
0.07
0.09

8,800
4,100
3,400

0.20
0.22
0.28

0.23
0.18
0.25

20,500
11,400
10,000

0.32
0.41
0.55

0.42
0.47
0.59

2,800

0.33

0.24

4,700

0.38

0.39

8,800

0.53

0.78

Trade, transportation, and utilities

Warehousing and storage
Utilities
Information
Publishing industries, except Internet
Motion picture and sound recording
industries
Broadcasting, except Internet
Internet publishing and broadcasting
Telecommunications
ISPs, search portals, and data
processing
Other Information services
Financial activities
Finance and insurance
Monetary authorities - central bank
Credit intermediation and related
activities
Depository credit intermediation,
Commercial banking
Securities, commodity contracts,
investments
Seefootnotesat end of table.



204

Table 2-F. Standard errors for change §n levels of first-dosing estimates of employment, hours, and earnings in selected
industries 1~-Continued
Standard error
1-month change
industry

Financial activities—Continued
Insurance carriers and related activities....
Funds, trusts, and other financial
vehicles
Real estate and rental and leasing
Real estate
Rental and leasing services
Lessors of nonfinancial intangible assets..

All
employees

weekly
hours

Standard error
12-month change

Standard error
3-month change

Average
AH
hourly
emearnings ployees

Average Average
weekly
hourly
hours earnings

All
em-

Average Average
hourly
weekly
hours earnings

3,600

0.17

0.10

6,500

0.16

0.13

10,900

0.33

0.25

800
6,800
5,100
4,000
800

0,47
0.16
QAB
0.38
0.96

0.29
0.06
0.07
0.11
0.38

1,600
11,200
7,800
7,400
800

0.69
0.24
0.25
0.53
0.85

0.93
0.11
0.12
0.19
0.57

3,200
17,300
12,000
12,200
1,400

1.24
0.33
0.38
0.74
1.03

2.22
0.17
0.22
0.25
1.46

26,500
11,600
2,700
7,100
3,400

0.07
0.10
0.14
0.37
0.18

0.04
0.06
0.11
0.13
0.09

49,000
22,000
3,800
17,700
5,000

0.10
0.12
0.16
0.58
0.20

0.07
0.12
0.20
0.26
0.20

82,800
28,600
7,100
13,300
11,000

0.13
0.16
0.22
0.59
0.25

0.10
0.17
0.44
0.31
0.26

4,600

0.22

0.18

7,400

0.30

0.29

14,700

0.37

0.56

3,400
4,700
23,000
22,500
21,000
16,200
4,400
6,700

0.25
0.19
0.12
0.12
0.23
0,26
0.28
0.22

0.17
0.15
0.06
0.06
0.10
0.08
0.11
0.06

6,500
9,000

11,100

0.36
0.37
0.15
0.15
0.29
0.26
0.35
0.28

0.24
0.20
0.08
0.08
0.15
0.16
0.16
0.07

13,800
15,200
85,100
83,400
68,700
43,200
14,200
19,900

0.53
0.51
0.19
0.19
0.38
0.41
0.51
0.40

0.45
0.35
0.15
0.16
0.29
0.21
0.26
0.12

3,000

0.41

0.15

4,000

0.59

0.23

6,800

0.87

0.45

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..........................

17,300
13,800
11,100
8,500
7,200
3,500
2,000
3,900
3,300
3,800
2,400
5s500
3s400

0.05
0.04
0.05
0.06
0.10
0.12
0.29
0.22
0.08
0.10
0.11
0.14
0.27

0.02
0.03
0.03
0.03
0.05
0.08
0.11
0.12
0.06
0.03
0.03
0.04
0.06

24,100
16,700
14,700
12,200

0.04
0.06
0.05
0.05
0.13
0.25
0.20
0.21
0.07
0.03
0.04
0.08
0.16

45,200
31,600
28,200
23,000
18,600

8,600
5,700

0.07
0.12
0.08
0.09
0.13
0.16
0.43
0.37
0.16
0.12
0.15
0.20
0.38

16,700
10,400

0.15
0.55
0.12
0.15
0.18
0.24
0.73
0.52
0.34
0.16
0.23
0.31
0.47

0.09
0.16
0.10
0.12
0.31
0.61
0.28
0.46
0.13
0.05
0.08
0.19
0.41

Leisure and hospitality .....................................
Arts, entertainment, 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

17,100
10,900
5,400

0.08
0.19
0.52

0.02
0.08
0.28

28,200
20,700
8,200

0.09
0.31
0.69

0.03
0.16
0.57

52,600
35,900
14,000

0.11
0.46
1.02

0.06
0.28
0.87

1,000
8,100
14,600
6,600
13,000

0.48
0.20
0.07
0.20
0.07

0.13
0.07
0.02
0.06
0.02

1,800
19,300
27,100
14,300
21,000

0.65
0.38
0.09
0.22
0.10

0.21
0.16
0.03
0.08
0.03

2,400
32,200
42,900
17,300
35,100

0.78
0.51
0.11
0.25
0.13

0.32
0.26
0.05
0.16
0.05

20,200
3,900
4,100

0.15
0.17
0.21

0.12
0.07
0.08

41,500
6,300
6,700

0.20
0.23
0.26

0.11
0.10
0.12

79,800
11,700

0.45
0.31
0.37

0.30
0.16
0.20

19,200

0.20

0.24

41,000

0.30

0.24

78,000

0.80

0.59

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 consulting
services
Management of companies and enterprises.
Administrative and waste services................
Administrative and support services .........
Employment services.............................
Temporary help services
Business support services
Services to buildings and dwellings.......
Waste management and remediation
services

Other services
............................................
Repair and maintenance
Personal and laundry services
Membership associations and
organizations................................

2

* Estimates of variance are not available for government sectors;
due to lack of historical probability-based estimates.




3

205

44,100
43,300
39,800

24,900
7,700

9,500
5,300
3,000
5,200
4,800
5,800

3,600

9,200
6,100
10,600
10,900
11,500

6,500

9,400

Hours and earnings estimates are not published.
Estimates are not available as a result of confidentiality standards.

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 under
Federal assistance programs are developed by State Workforce
Agencies under a Federal-State cooperative program. The
local unemployment estimates, which derive from standardized procedures developed by BLS, are the basis for determining eligibility of an area for benefits under Federal programs such as the Workforce Investment Act.
Annual average data for the States and 375 areas shown in
table C-3 are published in Employment and Earnings (usually the May issue). For regions, States, selected metropolitan areas, and central cities, annual average data classified by
selected demographic, social, and economic characteristics
are published in the BLS bulletin, Geographic Profile of
Employment and Unemployment.
Labor force estimates for counties, cities, and other small
areas have been prepared for administration of various Federal economic assistance programs and are available on the
Internet at http://wwwAls.gov/lau or by subscription by calling202-691-6392.
ESTIMATING METHODS
Monthly labor force, employment, and unemployment estimates are prepared for the 50 States, the District of
Columbia, Puerto Rico, and over 7,000 areas, including nearly
2,400 LMAs, all counties, and cities with apopulation of25,000
or more. Regional aggregations are derived by summing the
division estimates. The estimation methods are described
below for States (and the District of Columbia) and for substate areas. At the sub-LMA (county and city) level,
estimates are prepared using disaggregation techniques
based on decennial and annual population estimates and
current unemployment insurance data. A more detailed
description of the estimation procedure is contained in
the BLS document, Manual for Developing Local Area
Unemployment Statistics.
Estimates for States
For all States and the District of Columbia, the Los AngelesLong Beach-Glendale metropolitan division, New York City,
and the respective balances of State, models based on a
"signal-plus-noise" approach are used to develop
employment and unemployment estimates. The model of the
signal is a time series model of the true labor force which
consists of three components: A variable coefficient
regression, a flexible trend, and aflexibleseasonal component
The regression techniques are based on historical and



current relationships found within each State's economy as
reflected in the different sources of data that are available for
each State—the Current Population Survey (CPS), the Current
Employment Statistics (CES) survey, and the UI system. The
noise component of the models explicitly accounts for
autocorrelation in the CPS sampling error and changes in the
average magnitude of the error. In addition, the models can
identify and remove the effects of outliers in the historical
CPS series. While all the State models have important
components in common, they differ somewhat from one
another to better reflect individual State labor force
characteristics.
Seasonal adjustment occurs within the model structure
through the removal of the seasonal component. The models
also produce reliability measures on the adjusted and
unadjusted series, and on over-the-month change.
The Redesign bivariate models incorporate a major
change in the approach to benchmarking and the
benchmarking process. Rather than continue with an annual
average State benchmark applied retrospectively that
reintroduces sampling error to the historical monthly
estimates, the Redesign approach uses a reliable real-time
monthly national benchmark for controlling current State
model estimates of employment and unemployment In this
process, benchmarking is part of the monthly State model
estimation process.
Under real-time benchmarking, a tiered approach to
estimation is used. Model-based estimates are developed
for the 9 Census divisions that geographically exhaust the
Nation using univariate signal-plus-noise models. The
division models are similar to the State models, but do not
use unemployment insurance claims or nonfarm payroll
employment as variables., The division estimates are
benchmarked to the national levels of employment and
unemployment on a monthly basis. The benchmarked division
model estimate is then used as the benchmark for the States
within the division. The distribution ofthe monthly benchmark
adjustment to the States is based on each State's monthly
model estimate. In this manner, the monthly State employment
and unemployment estimates will add to the national levels.
Estimates for substate labor market areas
As noted, monthly labor force estimates for two large
substate areas-—New York City and the Los Angeles-Long
Beach-Glendale, CA metropolitan division and the respective
balances of New York and California—are developed using
bivariate signal-plus-noise models. Signal-plus-noise models
also have been developed for six additional substate areas
and their State balances. The areas are: the ChicagoNaperville-Joliet, IL metropolitan division; the Cleveland-

206

aggregate of the estimates for each of the two building-block
categories. The "covered" category further consists of two
unemployed worker groups: (1) Those who are currently
receiving UI benefits and (2) those who have exhausted their
benefits. Only the number of those currently collecting
benefits is obtained directly from an actual count of UI
claimants for the reference week. The estimate of persons
who have exhausted their benefits is based upon the number
actually exhausting benefits in previous periods "survived"
using a conditional probability approach based on CPS data.
The second category, "new entrants and reentrants into
the labor force," cannot be estimated directly from UI
statistics, because unemployment for these persons is not
immediately preceded by the period of employment required
to receive UI benefits. In addition, there is no uniform source
of new entrants and reentrants data for States available at
the LMA level; the only existing source available is from the
CPS at the State level. Separate estimates for new entrants
and for reentrants are derived from econometric models based
on current and historical State entrants data from the CPS.
These model estimates are then allocated to all LMAs based
on the age distribution of the population of each LMA. For
new entrants, the area's proportion of the 16-19 year-old
population group to the State 16-19 year-old population total
is used, and for reentrants, the Handbook area's proportion
of the 20 years and older population to the State total 20
years and older population is used.

Eiyria-Mentor, OH metropolitan area; the Detroit-WarrenLivonia, MI metropolitan area; the Miami-Miami BeachKendall, FL metropolitan division; the New Orleans-MetairieKenner, LA metropolitan area; and the Seattle-BellevueEverett, WAmetropolitan division. As with the Redesign State
and division models, these area models are based on the
classical decomposition of a time series into trend, seasonal,
and irregular components. A component to identify and
remove the CPS sampling error also is included. Area models,
like the division models, are univariate in design in that only
the historical relationship of the inputs is considered—Ul
claims and CES inputs are not used each month in the
estimation process* Area and balance of State models are
controlled directly to the State totals, which are themselves
controlled to the national CPS via the Census division models.
Estimates for the nearly 2,400 remaining LMAs are prepared,
through indirect estimation techniques, described below.
The LAUS Handbook method is an effort to estimate
unemployment for an area, using available information;
without the expense of expanding a labor force survey like;
the CPS. The Handbook presents a series of estimating
"building blocks/" in which categories of unemployed!
workers are classified by their previous status. Two broad
categories of unemployed persons are: (1) Those who were
last employed in industries covered by State UI laws, and (2)
those who either entered the labor force for the first time or
reentered after a period of separation. Handbook inputs were
updated using the Census 2000 results and other
improvementstoHandbook estimation were implemented with
January 2005 estimates.

Substate adjustment for consistency and additivity. Each
month, Handbook estimates are prepared for labor market
areas that exhaust the entire State area. To obtain a labor
force estimate for a given area, a "Handbook share" is
computed for that area which is defined as the ratio of that
area's Handbook estimates of employment and
unemployment to the sum of the Handbook estimates of
employment and unemployment for all LMAs in the State.
These ratios are then multiplied by the current statewide
estimate for employment and unemployment to produce the
final adjusted LMA estimates.

Employment The total employment estimate is based on
data from several sources. The primary source for most
metropolitan areas (MAs) is the Federal-State CES survey.
The CES is designed to produce estimates of the total number
of employees on payrolls in nonfarm industries for the;
particular area. In small labor market areas and the remainder
of the MAs, the establishment employment data come from
the Quarterly Census of Employment and Wages (ES-202
Report).
These "place~of»work" employment estimates must be
adjusted to a place-of»residence basis, as in the CPS.
Estimated adjustment factors have been developed using
employment relationships which existed at the time of the
most recent decennial census,, The adjustment approach
implemented in January 2005 is more dynamic than the
previous one and incorporates commuting to nearby labor
market areas. These factors are applied to the place-of-worlc
employment estimates for the current period to obtain
adjusted employment estimates, to which are added
synthetically developed estimates for employment not
represented in the establishment series—agricultural workers,
nonfann self-employed and unpaid family workers, and private
household workers.
Unemployment.



Estimates for parts of LMAs
Current labor force estimates at the sub-LMA level are
required by several Federal programs, Disaggregation
techniques are used to obtain current estimates of
employment and unemployment for counties within multicounty LMAs and cities, towns, and townships within
counties. Two alternative methods are used to disaggregate
the LMA estimates.
The population-claims method is the preferred technique.
Ifresidence-based UI claims data are available for the subareas
within the labor market area, the ratio of claims in the subarea
to the total number of claims within the LMA is used to
disaggregate the estimate of experienced unemployed to the
subarea level. To ensure the quality of the claims data used
in this technique, claimant records are processed through a
residency assignment system that verifies and/or corrects

The estimate of unemployment is an
207

residence addresses and assigns the associated residency
codes. This provides a more accurate count of claims by city.
The estimates of unemployed entrants are allocated based
on the latest available census distribution of the adult and
teenage population groups. Employment is disaggregated
using decennial census employment-population ratios
updated by current population estimates. Estimates for all
disaggregated counties and New England cities and towns
are developed using this method.
If the necessary IJI claims data are not available, the
census-share method is used. This method uses each
subarea's decennial census share of total LMA employment
and unemployment, respectively, in order to disaggregate
employment and unemployment Very few States will be using
this method for data after 2004.
Annual activities
Once each year, labor force estimates are revised to reflect
updated input data and new U.S. Census Bureau population
controls. As part of this procedure, all of the State and
substate models are reviewed, revised as necessary, and then




208

reestimated; this reestimation is called "smoothing."
When new population controls are available from the
Bureau of the Census, typically in January, CPS estimates for
all States, the District of Columbia, New York City; the
Chicago-Naperville-Joliet, IL metropolitan division;
Cleveland-Elyria-Mentor, OH metropolitan area; DetroitWarren-Livonia, MI metropolitan area; Los Angeles-Long
Beach-Glendale, CA metropolitan division; Miami-Miami
Beach-Kendall, FL metropolitan division; New OrleansMetairie-Kenner, LA metropolitan area; and, the SeattleBellevue-Everett, WA metropolitan division are adjusted to
these controls. Additionally, the time series regression
models for the States and model-based areas are reestimated
based on the latest input data.
Other substate estimates for previous years are also
revised on an annual basis. The updates incorporate any
changes in the inputs, such as revisions to establishmentbased employment estimates or claims data and updated
historical relationships. The revised estimates are then
readjusted to the latest statewide estimates of employment
and unemployment

Seasonal Adjustment

Over the course of a year, the size of the Nation's labor force,
the levels of employment and unemployment, and other measures of labor market activity undergo sharp fluctuations due
to such seasonal events as changes in weather, reduced or
expanded production, harvests, major holidays, and the open
ing and closing of schools. Because these seasonal events
follow a more or less regular pattern each year, their influence
on statistical trends can be eliminated by adjusting the statistics from month to month. These adjustments make it easier
to observe the cyclical and other nonseasonal movements u
the series. Seasonally adjusted series for selected labor force
and establishment-based data are published monthly in
Employment and Earnings.
Household data
Beginning in January 2003, BLS started using the X-12ARIMA (Auto-Regressive Integrated Moving Average)
seasonal adjustment program to seasonally adjust national
labor force data from the Current Population Survey (CPS),
or household survey. This program replaced the X-11ARIMA
program which had been used since January 1980. For a
detailed description of the X-12-ARIMA program and its
features, see DJF. Findley, B.C Monsell, W.R. Bell, M.C. Otto,
and B.C. Chen, "New Capabilities and Methods of the X-12ARIMA Seasonal Adjustment Program," Journal of Business
and Economic Statistics, April 1998, Vol. 16, No. 2, pp. 127152, See "Revision of Seasonally Adjusted Labor Force Series
in 2003," in the February 2003 issue of this publication for a
discussion of the introduction of the use of X-12 ARJMA foir
seasonal adjustment of the labor force data and the effects
that it had on the data.
Beginning in January 2004, BLS converted to the use of
concurrent seasonal adjustment to produce seasonally
adjusted labor force estimates from the household survey;
Concurrent seasonal adjustment uses all available monthly
estimates, including those for the current month, in
developing seasonal factors. Previously, seasonal factors
for the CPS data had been projected twice a year. As a result
of this change in methodology, BLS no longer publishes
seasonal factors for the labor force data. For more informatioE
on the adoption of concurrent seasonal adjustment for the
labor force data, see "Revision of Seasonally Adjusted Labor
Force Series in 2004," in the January 2004 issue of this
publication available on the Internet at http://www«bls,gov/
cps/ep$rs2O04.pdf.
Revisions of historical data, usually for the most recent 5
years, are made only at the beginning of each calendar year.
However, as a result of the revisions to the estimates for 197081 based on 1980 census population counts, revisions to
seasonally adjusted series in. early 1982 were carried back to



209

1970. In 1994, data were revised only for that year because of
the major survey redesign and the introduction of 1990
census-based population controls, adjusted for the estimated
undercount, into the Current Population Survey. In 1996,199093 data also were revised to incorporate these 1990 censusbased population controls and seasonally adjusted series
were revised back to 1990. Subsequent revisions were carried
back only to 1994 through 1998, when the standard 5-year
revision period was reinstated.
All labor force and unemployment rate statistics, as well
as the major employment and unemployment estimates, are
computed by aggregating independently adjusted series. For
example, for each of the major labor force components— employment, and unemployment—data for four sex-age groups
(men and women under and over 20 years of age) are separately adjusted for seasonal variation and are then added to
derive seasonally adjusted total figures. The seasonally adjusted figure for the labor force is a sum of four seasonally
adjusted civilian employment components and four seasonally adjusted unemployment components. The total for
unemployment is the sum of the four unemployment components, and the unemployment rate is derived by dividing the
resulting estimate of total unemployment by the estimate of
the labor force. Because of the independent seasonal adjustment of various series, components will not necessarily add
to totals.
Each January issue (March issue in 1996 and February
issue in 2003) of Employment and Earnings contains revised
seasonally adjusted data for selected labor force series based
on the experience through December and a description of the
current seasonal adjustment procedure.
National establishment data
BLS also uses the X-12-ARIMA seasonal adjustment program
to seasonally adjust national establishment-based
employment, hours, and earnings series derived from the
Current Employment Statistics (CES) program. (Use of X-12
ARJMA to seasonally adjust the CES data began in June
1996, with the release ofthe March 1995 benchmark revisions.)
Individual series are seasonally adjusted using either a
multiplicative or an additive model. For employment, seasonal
adjustment factors are directly applied to the component
levels. Individual 3-digitNAICS levels are seasonally adjusted,
and higher-level aggregates are formed by the summation of
these components. Seasonally adjusted totals for hours and
earnings are obtained by taking weighted averages of the
seasonally adjusted data for the component series.
Revised seasonally adjusted national establishmentbased series based on the experience through January 2005
and a detailed description of the current seasonal adjustment

procedure appear in the February 2005 issue of Employment
and Earnings,
Concurrent seasonal adjustment Beginning in June 2003
with the May 2003 first preliminary estimates, BLS began
computing seasonal factors concurrently with the monthly
estimate production. Previously, the factors were forecasted
twice a year. Concurrent seasonal adjustment is expected to
provide a more accurate seasonal adjustment, and smaller
revisions from the first preliminary estimates to the final
benchmarked estimates, than the semiannual updates. As a
result of the adoption of concurrent seasonal adjustment,
the CES program has discontinued the publication of
projected seasonal factors.
Additive and multiplicative models. Prior to the March 2002
benchmark release in June 2003, all CES series were adjusted
using multiplicative seasonal adjustment models. Although
the X-12-ARIMA seasonal adjustment program provides for
either an additive or a multiplicative adjustment depending
on which model best fits the individual series, the previous
CES processing system was unable to utilize additive
seasonal adjustments. A new processing system, introduced
simultaneously with the conversion to NAICS in June 2003,
is able to utilize both additive and multiplicative adjustments.
The article, "BLS National Establishment Estimates Revised
to Incoiporate March 2004 Benchmarks" published in the
February 2005 issue of this publication contains a list of
which series are adjusted with additive seasonal adjustment
models and which series are adjusted with multiplicative
models. The article also lists which series are subject to the
calendar-effects modeling described below.
Variable survey intervals* Beginning with the release of the
1995 benchmark, BLS refined the seasonal adjustment
procedures to control for survey interval variations,
sometimes referred to as the 4- versus 5-week effect.
Although the CES survey is referenced to a consistent
concept—the pay period including the 12th of each month—
inconsistencies arise because there are sometimes 4 and
sometimes 5 weeks between the week including the 12th
in a given pair of months. In highly seasonal industries,
these variations can be an important determinant of the
magnitude of seasonal hires or layoffs that have occurred at
the time the survey is taken, thereby complicating seasonal
adjustment.
Standard seasonal adjustment methodology relies heavily
on the experience of the most recent 3 years to determine the
expected seasonal change in employment for each month of
the current year. Prior to the implementation of the adjustment,
die procedure did not distinguish between 4- and 5-week
survey intervals and the accuracy of the seasonal expectation
depended in large measure on how well the current year's
survey interval corresponded with those from the previous
3 years. All else being the same, fee greatest potential for
distortion occurred when the current month being estimated




210

had a 5-week interval but the 3 years preceding it were all
4-week intervals, or conversely, when the current month
had a 4-week interval but the 3 years preceding it were all
5-week intervals.
BLS uses REGARIMA (regression with autocorrelated
errors) modeling to identify the estimated size and
significance of the calendar effect for each published series.
REGARIMA combines standard regression analysis, which
measures correlation among two or more variables, with
ARIMA modeling, which describes and predicts the behavior
of data series based on its own past history. For many
economic time series, including nonfarm payroll employment,
observations are autocorrelated over time. That is, each
month's value is significantly dependent on the observations
that precede it; these series, thus, usually can be successfully
fit using ARIMA models. If autocorrelated time series are
modeled through regression analysis alone, the measured
relationships among other variables of interest may be
distorted due to the influence of the autocorrelation. Thus,
the REGARIMA technique is appropriate to measuring relationships among variables of interest in series
that exhibit autocorrelation, such as nonfarm payroll
employment
In this application, the correlations of interest are those
between employment levels in individual calendar months
and the lengths of the survey intervals for those months.
The REGARIMA models evaluate the variation in
employment levels attributable to 11 separate survey interval
variables, one specified for each month, except March. March
is excluded because there is almost always 4 weeks between
the February and March surveys. Models for individual
basic series are fitted with the most recent 10 years of data
available, the standard time span used for CES seasonal
adjustment.
The REGARIMA procedure yields regression coefficients
for each of the 11 months specified in the model. These
coefficients provide estimates of the strength of the
relationship between employment levels and the number of
weeks between surveys for the 11 modeled months. The
X-12-ARIMA software also produces diagnostic statistics
that permit the assessment of the statistical significance of
the regression coefficients, and all series are reviewed for
model adequacy.
Because the 11 coefficients derived from the REGARIMA
models provide an estimate of the magnitude of variation in
employment levels associated with the length of the survey
interval, these coefficients are used to adjust the CES data to
remove the calendar effect. These 'filtered" series then are
seasonally adjusted using the standard X-12-ARIMA
software previously used.
For a few series, REGARIMA models did notfitwell; these
series are seasonally adjusted with the X-12 software but
without the interval-effect adjustment. There are several
additional special effects modeled through the REGARIMA
process which are described below.

for such employees. This gap in information causes artificial
peaks in the hours series in shorter months that are reversed
in longer months.
The processing error occurs when respondents with
salaried workers report hours correctly (vary them according
to the length of the month), which than dictates that different
conversion factors be applied to payroll and hours. The CES
processing system uses the hours conversion factor for both
fields, resulting in peaks in the hourly earnings series in short
months and reversals in long months.
The series to which the length-of-pay-period adjustment
is applied are not subject to the 4- versus 5-week adjustment,
because the modeling cannot support the number of variables
that would be required in the regression equation to make
both adjustments.

Construction series. BLS continues its special treatment in
seasonally adjusting the construction industry series, which
began with the 1996 benchmark revision. In the application
of the interval-effect modeling process to the construction
series, there initially was difficulty in accurately identifying
and measuring the effect because of the strong influence of
variable weather patterns on employment movements in the
industry. Further research allowed BLS to incorporate
interval-effect modeling for the construction industry by
disaggregating the construction series into its finer industry
and geographic estimating cells and tightening outlier
designation parameters. This process allowed a more precise
identification of weather-related outliers that had masked the
interval effect and clouded the seasonal adjustment patterns
in general. With these outliers removed, interval-effecit
modeling became feasible. The result is a seasonally adjusted,
series for construction that is improved because it is
controlled for two potential distortions, unusual weather
events and the 4- versus 5-week effect.

Local government series, A special adjustment also is made
in the local government, excluding education series in
November each year to account for variations in employment
due to the presence or absence of poll workers.

State establishment data
Seasonally adjusted nonfarm payroll employment data by
selected industry supersectors for all States and the District
of Columbia are presented in table B~7 of this publication.
As with the national establishment data, the State
establishment data are seasonally adjusted with the X-12ARIMA seasonal adjustment program. Seasonal adjustment
factors are applied directly to the employment estimates at
the supersector level and then aggregated to the State totals
for most States. For a few States that do not have many
publishable seasonally adjusted supersectors, however, total
nonfarm data are seasonally adjusted directly at the
aggregate level. The recomputation of seasonal factors and
historical revisions are made coincident with the annual
benchmark adjustments.

Refinements in hours and earnings seasonal adjustment
With the release of the 1997 benchmark, BLS implemented
refinements to the seasonal adjustment process for the hours
and earnings series to correct for distortions related to the;
method of accounting for the varying length of payroll
periods across months. There is a significant correlation
between over-ithe-month changes in both the average weekly
hours and the average hourly earnings series and the number
of weekdays in a month, resulting in noneconomic
fluctuations in these two series. Both series show more
growth in "short" months (20 or 21 weekdays) than In "long"
months (22 or 23 weekdays). The effect is stronger for the
hours than for the earnings series.
The calendar effect is traceable to response and
processing errors associated with converting payroll and
hours information from sample respondents with semimonthly
or monthly pay periods to a weekly equivalent. The response
error comes from sample respondents reporting a fixed
number of total hours for workers regardless of the length
of the reference month, while the CES conversion
process assumes that the hours reporting will be variable.
Most likely, a constant level of hours is reported when
employees are salaried rather than paid by the hour, because
employers are less likely to keep actual detailed hours records

Region and State labor force data
Beginning in 1992, BLS introduced publication of seasonally
adjusted labor force data for the census regions and
divisions, the 50 States, the District of Columbia, and Puerto
Rico (tables C-l and C-2). Beginning in 2005, labor force
estimates for census regions are derived by summing the
component division estimates of employment and
unemployment and then calculating the unemployment rate.
Since 2005, a unified model-based approach has been used
at the census division and State level to simultaneously
remove the effects of sampling error and seasonality to
provide seasonally adjusted estimates for employment and
unemployment levels directly from the model, along with
associated error measures. Labor force levels and
unemployment rates are calculated from these two estimates.
Prior to 2005, a two-step approach was used. In the first
step, time-series models estimated and removed the effects
of sampling error from the series. In the second step, the
error-corrected series were seasonally adjusted using the
latest available version of X-l 1, initially X-l 1 ARIMA, and
later the X-12-ARJMA seasonal adjustment program.
Usually, historical data for the most recent 5 years are
revised near the beginning of each calendar year, coincident
with the release of January estimates.

Floating holidays. BLS also makes special adjustments for
average weekly hours and average weekly overtime series to
account for the presence or absence of religious holidays in
the April survey reference period and the occurrence of Labor
Day in the September reference period.




21.1

INDEX TO STATISTICAL TABLES
TABLE KEY: A: Monthly household data; B: Monthly national and State and area establishment data; C: Monthly regional, State, and area labor
force data; D: Quarterly, household data only, in the January, April, July, and October issues. Annual averages: Household data in the January
issue; national establishment data in the January, March, and June issues; State and area establishment and labor force data in the May issue.
For additional information see the listing on the inside front cover of this publication.
Monthly
Topic

Absences from work
Aggregate weekly hours (index)
Agricultural industries

Quarterly averages
Not
asona
adjusted

Seasonally
adjusted

Seasonally
adjusted

Annual
averages

Not
seasonally
adjusted

46-47
B-9
A-7

A-21-23,30, 36

D-1,5,9

D-12-15

A-18, 23-27
A-22, 25, 30

D-5
D-5

D-14-15

At work
Class of worker
Diffusion index
Discouraged workers
Earnings, hourly
Earnings, weekly

A-7
A-7
B-6
B-11
B-11

A-37
B-2, 15-18
B-2, 15, 17-18

Educational attainment...
Employment by:
Age
Hispanic or Latino ethnicity
Industry

A-5

A-16, 17

A-3-4, 6, 8
A-4
B-3-5, 7

A-13-16, 18, 19, 22 D-1-2, 4, 6
D-2
A-14-18, 20
A-21; B-12-14

D-12-13, 16
D-12-16

Occupation
Race

A-4

A-19-21
A-13, 15-18, 20

D-5
D-2

D-14-15
D-12, 14,16

Sex

A-2-4, 6, 8; B-4

A-13-20, 22;
B-13

D-1-2, 4-6

D-12-16

A-6

A-18, 34

D-4

D-14-15

B-8-10

A-18, 23-27; B-2,
15,18

A-8-10

A-26, 28, 35

D-5, 9

A-7

A-38
A-22-26

D-1,6

A-6

A-37
A-18

D-4

B-5, 8-9, 11

B-12, 15-18

B-7; C-1-2

A-16
B-14,18; C-3

A-1-2; 1-2, 5-6,
12-1)3, 15, 1718,
26, 32
19-23
12-13, 15-16

35
D-20-22

B»2,15-17;52;2
B-2, 15,17;

37-39, 52; 2

Full-time workers
Historical data
Hours of work
Jobsearch methods
Marital status
Minimum-wage workers
Multiple jobholders
Nonagricultural industries
Not in the labor force
Part-time workers
Production or nonsupeivisory
workers
School enrollment
State, region, and area data
Unemployment by:
Age
Duration
Hispanic or Latino ethnicity ...
Industry of last job
Occupation of last job
Race
Reason

Sex

A-3-4, 6, 9-10
A-12
A-4

A-4
A-11
A-2-4, 6, 9-10

A-13-16, 18, 28
D-1-2, 7-8
31,33,35
A-33-36
D-11
A-14-18, 28, 32, 35 D-2
A-30, 36
D-9
D-9
A-29, 36
D-2
A-13, 15-18, 28,
32,35
D-10
A-31-35
D-1-2, 7-8
A-13-18, 28-31,
33,35

Union affiliation


http://fraser.stlouisfed.org/
U.S. GOVERNMENT PRINTING OFFICE: 2006-326-105/40193
Federal Reserve Bank of St. Louis

212

7

D-3

D-14-15

3-6, 8-9, 14-15
4-7, 11-13, 18
B-1,12-13;
16-18; 50; 1
9-13, 17
3, 5, 7-8, 10-12,
14, 17-18
B-13;2-18

B, 12-13, 30
A-1-2; B-1-2; 1-2
B-15;19~23,52;2
33-34
24,31
44-45
36
A-1-2; 1-2, 5-6,
12-13,15
35
8, 12-13
B-12, 15-17;
51-52
1-5

D-12-13, 17
D-19
D-12-13, 17-19

D-12, 17-21
D-18
D-12-13, 17

3-6, 8, 24, 27, 29
33
29-32
4-7, 28
26,32
25,32
3,5,7-8,24,28,
31,33
27-29
2-8, 24, 25-27,
29,31,33-35
40-43

Cooperating State Agencies
Current Employment Statistics (CES) and State and Local Area Unemployment Statistics (LAUS) Programs

NEVADA

Employment Security Department, Research
and Analysis Bureau, 500 East 3rd St.,
Carson City 89713

NEW HAMPSHIRE

Department of Employment Security,
Economic and Labor Market Information
Bureau, 32 South Main St.,
Pnnrnrri fWV)1

Employment Security Department, Labor Market
Information, RO. Box 2981, Little Rock 72203-2981

NEW JERSEY

CALIFORNIA

Employment Development Department, Labor
Market Information Division, 7000 Franklin Blvd.,
Suite 1100, Sacramento 95823

Department of Labor, Labor Market and
Demographic Research, P.O. Box 388,
Trenton 08625

NEW MEXICO

COLORADO

Department of Labor and Employment, Tower 2,
Suite 300,1515 Arapahoe Ave., Denver 80202-21" 7

Department of Labor, Economic Research
and Analysis Bureau, P.O. Box 1928,
Albuquerque 87103

CONNECTICUT

Department of Labor, Office of Research,
200 Folly Brook Blvd., Wethersfield 06109

NEW YORK

Department of Labor, Division of Research
and Statistics, State Campus, Room 400,
Bldg. 12, Albany 12240-0020

DELAWARE

Department of Labor, Office of Occupational
and Labor Market Information, P.O. Box 9965,
Wilmington 19809

NORTH CAROLINA

Employment Security Commission, Labor
Market Information Division, P.O. Box 25903,
Raleigh 27611

ALABAMA

Department of Industrial Relations, Room 427,
Industrial Relations Bldg., Montgomery 36130

ALASKA

Department of Labor, Research and Analysis
Section, P.O. Box 21149, Juneau 99802-5501

ARIZONA

Department of Economic Security, 1789 West
Jefferson St., Phoenix 85007

ARKANSAS

DISTRICT OF COLUMBIA Department of Employment Services,
Office of Policy, Legislative and Statistical Analysis,
Room 3304,77 P Street, NE., Washington, DC 2C002

NORTH DAKOTA

Job Service, P.O. Box 5507, Bismark 58502

OHIO

Bureau of Employment Services, Labor Market
Information Division, 78-80 Chestnut St.,
Columbus 43215

OKLAHOMA

Employment Security Commission, Economic
Research and Analysis Division, 2401 North
Lincoln Blvd., Oklahoma City 73105

OREGON

Employment Department, 875 Union St., NE.,
Salem 97311

PENNSYLVANIA

Department of Labor and Industry, Center for
Workforce Information and Analysis, Labor
and Industry Bldg., Room 220, Seventh and
ForsterSts., Harrisburg 17121-0001

FLORIDA

Agency for Workforce Innovation, Labor Market
Statistics, 367 Marpan Lane, Bldg. B,
Tallahassee 32305-0902

GEORGIA

Department of Labor, Workforce Information
and Analysis, 148 International Blvd., NE., CWC 300,
Atlanta 30303-1751

HAWAII

Department of Labor and Industrial Relations,
Research and Statistics Office, Room 304,
830 Punchbowl St., Honolulu 96813

IDAHO

Department of Labor, 317 West Main St.,
Boise 83735

ILLINOIS

Department of Employment Security, Economic
Information and Analysis Division, (7 North),
401 South State St., Chicago 60605

PUERTO RICO

Department of Labor and Human Resources,
Bureau of Labor Statistics, 17th Floor,
505 Munoz Rivera Ave., San Juan 00918

INDIANA

Department of Workforce Development, Labor
Market Information, 10 North Senate Ave.,
Indianapolis 46204
Workforce Development, 1000 East Grand Ave.,
DesMoines50319
Department of Human Resources, Labor Market
Information Services, 401 SW.Topeka Ave.,
Topeka 66603

RHODE ISLAND

Department of Labor and Training, Labor Market
Information, 1511 Pontiac Avenue, Cranston 02920

SOUTH CAROLINA

Employment Security Division, Labor Market
Information, P.O. Box 995, Columbia 29202

SOUTH DAKOTA

Department of Labor, Labor Market
Information Center, P.O. Box 4730,
Aberdeen 57402-4730

TENNESSEE

Department of Labor and Workforce Development,
Research and Statistics Division,
500 James Robertson Parkway, 11m Floor,
Nashville 37245-1000

IOWA
KANSAS!

KENTUCKY

Workforce Development Cabinet, Department for
Employment Services, Research and Statistics
Branch, 275 East Main Street 2W, Frankfort 40601

LOUISIANA

Department of Labor, Research and Statistics
Division, P.O. Box 94094, Baton Rouge 70804-9094

TEXAS

MAINE

Department of Labor, Division of Labor Market
Information Services, 20 Union St., Augusta 04330

Workforce Commission, Economic Research
and Analysis, 9001 North IH-35, Suite 103A,
Austin 78753

UTAH

MARYLAND

Department of Labor, Licensing, and Regulations,
Office of Labor Market Analysis and Information,
Room 316,1100 North Eutaw St., Baltimore 21201

Department of Workforce Services, Workforce
Information, 140 East 300 South, P.O. Box
45249, Salt Lake City 84114

VERMONT

MASSACHUSETTS

Division of Employment and Training, Charles F.
Hurley Bldg., 19 Staniford St., Boston 02114

Department of Employment and Training,
Labor Market Information, P.O. Box 488,
Montpelier 05601

MICHIGAN

Department of Labor and Economic Growth,
Bureau of Labor Market Information
and Strategic Initiatives,
Suite 9-100,
Detroit 48202 -3152
Department of Economic Security, Research and
Statistical Services, 5th Floor, 390 North Robert St.,
St. Paul 55101

VIRGINIA

Employment Commission, Economic
Information Services Division, P.O. Box
1358, Richmond 23218-1358

VIRGIN ISLANDS

Department of Labor, Bureau of Labor
Statistics, 53-A, 54-A&B Kronprindsens
Gade, Charlotte Amaiie, St. Thomas
00801-3359 (CES)

WASHINGTON

Employment Security Department, Labor
Market and Economic Analysis Branch,
RO. Box 9046, Olympia 98507-9046

WEST VIRGINIA

Bureau of Employment Programs Research,
Information Analysis, 112 California Ave.,
Charleston 25305

WISCONSIN

Department of Workforce Development,
Bureau of Workforce Information, 201 East
Washington Ave., Madison 53707

WYOMING

Employment Resources Division, Research
and Planning, P.O. Box 2760, Casper 82602

MINNESOTA

MISSISSIPPI

Employment Security Commission, Labor Market
Information Department, P.O. Box 1699,
Jackson 39215-1699

MISSOURI

Department of Economic Development,
Economic Research and Information Center,
P.O. Box 3150, Jefferson City 65102-3150

MONTANA

Department of Labor and Industry, Research
and Analysis, P.O. Box 1728, Helena 59624

NEBRASKA

Department of Labor, Labor Market Information,
P.O. Box 94600, Lincoln 68509-4600




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