Full text of Employment and Earnings : February 2006
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Elaine L. Chao, Secretary
February 2006
Vol. 53 No. 2
U.S. BUREAU OF LABOR STATISTICS
Kathleen P. Utgoff, Commissioner
Calendar of Features
U.S. DEPARTMENT OF LABOR
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.
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.
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Annual averages
Jan.
Earnings by detailed occupation
Jan.
Union affiliation
Jan.
Minimum wage data
Jan.
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POSTMASTER: Send address changes to Employment &
Earnings, U.S. Government Printing Office, Washington, DC
20402.
Employee absences
Jan.
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: LausMo@bls.gov
Internet: http://www.bls.gov/lau/
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)
Industry detail
Jan.
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
Employment&Earnings
Editor
John F. Stinson, Jr.
Design and Layout
Phyllis L. Lott
Editor's Note
Effective with the publication of January 2006 data, the national estimates of employment, hours,
and earnings from the monthly survey of business establishments presented herein are revised to
reflect March 2005 benchmarks (comprehensive counts of employment) and updated seasonal
adjustment factors. Not seasonally adjusted data from April 2004 forward and seasonally adjusted
data from January 2001 forward were subject to revision.
The article beginning on page 5 discusses the effects of the revisions, and revised current data
appear in the B tables. Historical data for all national establishment data series are available at
http://www.bls.gov/ces/, the Current Employment Statistics homepage.
Also effective with the publication of January 2006 data, the household survey data presented
herein reflect updated population controls. (See the article beginning on page 3 for additional
information.)
Contents
Page
List of statistical tables
Contents of the explanatory notes and estimates of error
Employment and unemployment developments, January 2006
Adjustments to household survey population estimates in January 2006
BLS national establishment estimates revised to incorporate March 2005 benchmarks ....
Summary tables and charts
Explanatory notes and estimates of error
Index to statistical tables
ii
v
1
3
5
20
191
238
Statistical tables
Source
Household data
Establishment data:
Employment:
National
State
Area
Division
Hours and earnings:
National
State and area
Division
.
Seasonally
adjusted
„
seasonally
adjusted
22
24
34
68
73
79
92
112
112
136
69
Local area labor force data:
Region
State
Area
,
Division
Revised national establishment data:
Not seasonally adjusted data
Seasonally adjustment data
1
2
Tables B-l, B-2, B-ll, and B-14 through B-16.
Summary table B, B-l, B-3 through B-5, and B-7, B-8, and B-10.
Not
„.
. ,
Historical
88
176
178
Other
features
142
172
175
183
183
190
O
(2)
Monthly Household Data
Page
Historical
A-1. 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, 1993 to date......
22
23
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, Hispanic or Latino ethnicity,
sex, and age
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
24
25
27
28
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
29
30
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
..
31
32
33
33
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, Hispanic or Latino ethnicity,
sex, and age
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
34
38
39
40
42
43
Characteristics of the Employed
A-19.
A-20.
A-21.
A-22.
A-23.
A-24.
A-25.
A-26.
A-27.
A-28.
Employed persons by occupation, sex, and age
....-......,*...,
Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex
Employed persons by industry and occupation
Employed persons in agriculture and related and in nonagricultural industries by age,
sex, and class of worker
Employed persons in nonagricultural industries by sex and class of worker
Persons at work in agriculture and related and in nonagricultural industries by hours of work
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
Persons at work in nonagricultural industries by class of worker and usual full- or part-time status
Persons at work in nonagricultural industries by age, sex, race, Hispanic or Latino
ethnicity, marital status, and usual full- or part-time status
,
Persons at work by occupation, sex, and usual full- or part-time status
45
46
48
49
50
52
52
53
54
55
Characteristics of the Unemployed
A-29.
A-30.
A-31.
A-32.
A-33.
A-34.
A-35.
A-36.
Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex..
Unemployed persons by occupation and sex
Unemployed persons by industry, class of worker, and sex
Unemployed persons by reason for unemployment, sex, and age
Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity
Unemployed persons by reason for unemployment, sex, age, and duration of unemployment...;.......
Unemployed total and full-time workers by duration of unemployment
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
56
57
58
60
61
62
62
63
64
Persons Not in the Labor Force
A-38. Persons not in the labor force by desire and availability for work, age, and sex
65
Multiple Jobholders
A-39. Multiple jobholders by selected demographic and economic characteristics
ll
66
Monthly Establishment Data
Page
Historical
B-l. Employees on nonfarm payrolls by major industry sector, 1956 to date
B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector, 1964 to date
68
69
Seasonally Adjusted Data
Employment
National
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail
B-4. Production or nonsupervisory workers on private nonfarm payrolls by major industry sector
and selected industry detail
B-5. Diffusion indexes of employment change
, ,
.
73
77
78
States
B-6. Employees on nonfarm payrolls by State and major industry
79
Hours and Earnings
National
B-7. Average weekly hours of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail
B-8. Indexes of aggregate weekly hours of production or nonsupervisory workers on private
nonfarm payrolls by major industry sector and selected industry detail
B- 9. Hours of wage and salary workers on nonfarm payrolls by major industry
B-10. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm
payrolls by major industry sector and selected industry detail
88
89
90
91
Not Seasonally Adjusted Data
Employment
National
B-ll. Employees on nonfarm payrolls by detailed industry
92
States, Areas, and Divisions
B-12. Employees on nonfarm payrolls in States and selected areas by major industry
112
B-13. Employees on nonfarm payrolls by State, selected metropolitan area, and metropolitan division
136
Hours and Earnings
National
B-14. Average hours and earnings of production or nonsupervisory workers on private nonfarm
payrolls by detailed industry
.'
B-15. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls
B-l6. Average hourly and weekly earnings of production or nonsupervisory workers on private
nonfarm payrolls by major industry sector and selected industry detail, in current and
constant (1982) dollars
142
170
171
States, Areas, and Divisions
B-17. Average hours and earnings of production workers on manufacturing payrolls in States
and selected areas
B-l8. Average hours and earnings of production workers on manufacturing payrolls in selected
States, metropolitan areas, and metropolitan divisions
in
172
175
Monthly Regional, State, Area, and Division tabor Force Data
Page
Seasonally Adjusted Data
C-l. Labor force status by census region and division
176
C-2. Labor force status by State....
178
Not Seasonally Adjusted Data
C-3. Labor force status by State and metropolitan area
C-4. Civilian labor force and unemployment by State, selected metropolitan area,
and metropolitan division
IV
183
190
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
191
191
192
192
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
National coverage adjustment
State coverage adjustment
Second stage
Composite estimation procedure
Rounding of estimates
Reliability of the estimates
Nonsampling error
Sampling error
v
Tables 1-B through 1-H
200
201
202
202
202
203
203
203
203
204
204
204
204
204
204
204
204
205
206
Establishment data
Data collection
Concepts
Estimating methods
Benchmarks
Monthly estimation
212
212
212
214
215
215
193
193
193
195
195
197
Page
Establishment data—Continued
Stratification
.
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
215
215
216
216
218
219
219
219
220
220
220
221
221
221
221
221
222
222
222
222
222
223
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
231
231
231
231
231
232
232
Seasonal adjustment
234
232
232
233
Obtaining information from the Bureau of Labor Statistics
Office or Topic
Bureau of Labor Statistics
Information services
Internet address
E-mail
http://www.bls.gov
http://www.bls.gov/opub/
blsdata_staff@bls.gov
http://www.bls.gov/ces/
http://www.bls.gov/sae/
cesinfo@bls.gov
data_sa@bls.gov
http://www.bls.gov/cps/
http://www.bls.gov/lau/
http://www.bls.gov/cew/
http://www.bls.gov/oes/
http://www.bls.gov/lau/
http://www.bls.gov/nls/
cpsinfo@bls.gov
lausinfo@bls.gov
cewinfo@bls.gov
oesinfo@bls.gov
mlsinfo@bls.gov
nls_info@bls.gov
Prices and living conditions
Consumer price indexes
Producer price indexes)
Import and export price indexes
Consumer expenditures
http://www.bls.gov/cpi/
http://www.bls.gov/ppi/
http://www.bls.gov/mxp/
http://www.bls.gov/cex/
cpi_info@bls.gov
ppi-info@bls.gov
mxpinfo@bls.gov
cexinfo@bls.gov
Compensation and working conditions
National Compensation Survey:
Employee benefits
Employment cost trends
Occupational compensation
Occupational illnesses, injuries
Fatal occupational injuries
Collective bargaining
http://www.bls.gov/ncs/
http://www.bls.gov/ebs/
http://www.bls.gov/ect/
http://www.bls.gov/ncs/
http://www.bls.gov/iif7
http://stats.bls.gov/iif7
http://www.bls.gov/cba/
ocltinfo@bls.gov
ocltinfo@bls.gov
ocltinfo@bls.gov
ocltinfo@bls.gov
oshstaff@bls.gov
cfoistaff@bls.gov
cbainfo@bls.gov
Productivity
Labor
Industry
Multifactor
http://www.bls.gov/lpc/
http://www.bls.gov/lpc/
http://www.bls.gov/mfp/
dprweb@bls.gov
dipsweb@bls.gov
dprweb@bls.gov
Projections
Employment
Occupation
http://www.bls.gov/emp/
http://www.bls.gov/oco/
oohinfo@bls.gov
oohinfo@bls.gov
[international
http://www.bls.gov/fls/
flshelp@bls.gov
1 Regional centers
Atlanta
Boston
Chicago
Dallas
Kansas City
NewYwk
Philadelphia
San Francisco
http://www.bls.gov/ro4/
http://www.bls.gov/rol/
http://www.bls.gov/ro5/
http://www.bls.gov/ro6/
http://www.bls.gov/ro7/
http://www.bls.gov/ro2/
http://www.bls.gov/ro3/
http://www.bls.gov/ro9/
BLSinfoAtlanta@bls.gov
BLSinfoBoston@bls.gov
BLSinfoChicago@bls.gov
BLSinfoDallas@bls.gov
BLSinfoKansasCity@bls.gov
BLSinfoNY@Ws.gov
BLSinfoPhiladelphia@bls.gov
BLSinfoSF@bls.gov
k
Employment and unemployment
i
Employment, hours, and earnings:
National
State and local
|
Laborforcestatistics:
National
Local
Ul-covered employment, wages
Occupational employment
Mass layoffs
Longitudinal data
Other Federal statistical agencies
http://www.fedstats.gov/
Employment arid Unemployment
Developments, January 2006
N
bnfarm payroll employment increased by 193,000 in
January, and the unemployment rate fell to 4:7
percent. Job gains occurred in several industries,
including construction, mining, food services and drinking
places, health care, and financial activities.
household survey to identify persons who evacuated from
thenhomes, even temporarily, due to Hurricane Katrina. Data
collected through these questions do not account for all
evacuees; persons living outside of the scope 6f the s u r v e y such as those living in hotels or shelters—are not included.
The questions were asked of persons in the household survey
sample throughout the country, since some evacuees
relocated far from the storm-affected areas. An additional
question determined whether evacuees had returned to their
homes by the time of the survey.
These additional questions provided information to
analyze the employment status of this subgroup of evacuees.
The total number of evacuees estimated from the household
survey may change from month to month as people move in
and out of the scope of the survey.
Information gathered in January showed that about 1.2
million persons age 16 and over had evacuated from where
they were living in August due to Hurricane Katrina. These
evacuees either had returned to their homes or were living in
other residential units covered in the survey in January. About
600,000 of the evacuees had returned to their August 2005
residences. Of all evacuees identified, 56.8 percent were in
the labor force in January. The employment-population ratio
for these evacuees was 48.4 percent. The unemployment
rate for persons identified as evacuees was 14.7 percent; it
was much higher for evacuees who had not returned home
(26.3 percent) than for those who had returned (2.9 percent).
Unemployment
The number of unemployed persons fell to 7.0 million in
January, and the unemployment rate decreased to 4.7 percent,
seasonally adjusted. The unemployment rate had ranged
from4.9to5.1 percent during most of 2005. The jobless rate
for adult men declined to 4.0 percent in January. For other
major worker groups—-adult women (4.3 percent), teenagers
(15.3 percent), whites (4.1 percent), blacks (8.9 percent), and
Hispanics (5.8 percent)—unemployment rates were
essentially unchanged. The rate for black teens, which had
an unusually large decline in December, rose to 31.4 percent
in January. The unemployment rate for Asians was 3.2
percent, not seasonally adjusted. (See tables A-3, A-4, and
A-13.)
In January, 16.3 percent of the unemployed had been
without a job for 27 weeks or longer, down from 18.2 percent
in the prior month. In January 2005, the proportion was 21.0
percent. (See table A-12.)
Total employment and the labor force
Total employment continued to trend upward in January. The
labor force participation rate and the employment-population
ratio showed little or no change over the month, at 66.0 and
62.9 percent, respectively. (See table A-3.)
Industry payroll employment
Total nonfarmpayroll employment rose by 193,000 in January
to 134.6 million, seasonally adjusted. This followed job gains
of 354,000 in November and 140,000 in December (as revised).
Since January 2005, job gains have averaged 174,000 per
month. (See table B-3.)
In January, construction employment increased by 46,000;
over the year, construction employment has risen by 345,000.
Specialty trade contractors added 28,000 jobs over the month,
while residential building and heavy and civil engineering
construction added 8,000 each. Mining continued its upward
trend in January, adding 6,000 jobs. Support activities for
mining, particularly those related to oil and gas, accounted
for two-thirds of the over-the-month gain.
Elsewhere in the goods-producing sector, manufacturing
employment was little changed for the second month in a
row. Within durable goods, employment gains in nonmetallic
mineral products (6,000) and primary metals (3,000) were
Persons not in the labor force
About 1.6 million persons (not seasonally adjusted) were
marginally attached to the labor force in January, down from
1.8 million a year earlier. These were people who wanted and
were available for work and had looked for a job sometime in
the prior 12 months but were not counted as unemployed
because they had not searched for work in the 4 weeks
preceding the survey. The number of discouraged workers—
a subset of the marginally attached who were not currently
looking for work specifically because they believed no jobs
were available for them—was 396,000 in January, a decrease
of 119,000 from a year earlier. (See table A-38.)
Employment status of Hurricane Katrina evacuees
Beginning in October, questions were added to the
1
partially offset by a decline in computer and electronic
products (-6,000).
In the service-providing sector, employment in health care
and social assistance rose by 3 8,000 in January. Ambulatory
health care services (which includes doctors' offices and
home health care) added 15,000 jobs. Job growth also
occurred in hospitals (7,000) and in nursing and residential
care facilities (7,000). Health care employment has increased
by 287,000 over the year. Employment in social assistance
continued to trend up in January and has grown by 77,000
over the year.
Over the month, financial activities employment was up
by 21,000, following little change in December. Credit
intermediation added 11,000 jobs in January, and real estate
employment rose by 10,000.
Employment in food services and drinking places grew
by 31,000 in January; over the year, this industry has added
214,000 jobs. In January, wholesale trade employment
increased by 15,000. Employment in retail trade wasflatover
the month and has shown no net growth since July 2005.
Employment in professional and business services
continued to trend up over the month (24,000); the number
of jobs in the industry has increased by 515,000 over the
year. In January, computer systems design services gained
7,000 jobs. Temporary help services employment was little
changed over the month but has increased by 187,000 over
the year. Following a strong employment increase in
December, accounting and bookkeeping services lost 18,000
jobs in January.
Weekly hours
The average workweek for production or nonsupervisory
workers on private nonfarm payrolls was unchanged at 33.8
hours in January, seasonally adjusted. The manufacturing
workweek and factory overtime also were unchanged at 40.8
hours and 4.5 hours, respectively. (See table B-7.)
The index of aggregate weekly hours of production or
nonsupervisory workers on private nonfarm payrolls
increased by 0.2 percent in January to 103.9 (2002=100). The
manufacturing index also increased by 0.2 percent over the
month to 94.9. (See table B-8.)
Hourly and weekly earnings
Average hourly earnings of production or nonsupervisory
workers on private nonfarm payrolls increased by 7 cents in
January to $16.41, seasonally adjusted. Average weekly
earnings increased by 0.4 percent over the month to $554.66.
Over the year, average hourly earnings increased by 3.3
percent and average weekly earnings increased by 3.6
percent (See table B-10.)
Scheduled Release Dates
Employment and unemployment data are scheduled for initial release on
the following dates:
Release date
Reference month
Release date
{Reference month
February
March 10
May
June 2
March
April 7
June
July 7
April
May 5
July
August 4
Adjustments to Household Survey
Population Estimates in January 2006
H
ousehold survey data beginning in January 2006
reflect updated population controls. As part of its
annual review of intercensal population estimates,
the U.S. Census Bureau determined that a small downward
adjustment should be made to the household survey
population controls. This adjustment stems from revised
estimates of net international migration and updated vital
statistics information. The updated controls resulted in a
decrease of 67,000 in the estimated size of the civilian
noninstitutional population 16 years of age and over
for December 2005. Official population and labor force
estimates for December 2005 and earlier months will not be
revised.
A comparison of December 2005 data based on the old
and new controls shows that the population adjustments
caused decreases in the labor force (-130,000), employment
(-123,000), and unemployment (-8,000). The total
unemployment rate, labor force participation rate, and
employment-population ratio, however, were not affected.
(See table below.)
Employment status of the population for selected labor force groups, December 2005
(2006 population adjustment effect)
(Numbers in thousands)
Employment status, sex, age, race,
and Hispanic or Latino ethnicity
As
originally
published
Based
on
updated
population
controls
Difference 1
227,425
149,874
65.9
142,918
62.8
6,956
4.6
77,550
227,358
149,744
65.9
142,795
62.8
6,949
4.6
77,614
-67
-130
.0
-123
.0
-8
.0
63
101,489
76,670
75.5
73,315
72.2
3,355
4.4
24,819
101,465
76,606
75.5
73,257
72.2
3,349
4.4
24,859
-24
-64
.0
-58
.0
-6
.0
40
109,425
66,376
60.7
63,669
58.2
2,707
4.1
43,048
109,397
66,314
60.6
63,610
58.1
2,705
4.1
43,083
-28
-62
.0
-60
.0
-2
.0
34
TOTAL
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
Men, 20 years and over
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force....
Women, 20 years and over
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
See notes at end of table.
...
Employment status of the population for selected labor force groups, December 2005
(2006 population adjustment effect)—Continued
(Numbers in thousands)
As
originally
published
Employment status, sex, age, race,
and Hispanic or Latino ethnicity
Based
on
updated
population
controls
Both sexes, 16 to 19 years
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
16,511
6,828
41.4
5,934
35.9
894
13.1
9,683
16,496
6,823
41.4
5,929
35.9
895
13.1
9,672
185,327
122,752
66.2
117,803
63.6
4,949
4.0
62,575
185,315
122,663
66.2
117,721
63.5
4,941
4.0
62,652
26,744
17,001
63.6
15,487
57.9
1,514
8.9
9,743
26,751
17,005
63.6
15,489
57.9
1,515
8.9
9,746
10,036
6,652
66.3
6,400
63.8
252
3.8
3,384
9,965
6,603
66.3
6,353
63.8
250
3.8
3,362
29,645
20,316
68.5
19,084
64.4
1,232
6.1
9,329
29,537
20,229
68.5
19,003
64.3
1,226
6.1
9,308
WHITE
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
.
,
,
BLACK OR AFRICAN AMERICAN
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed..
Unemployment rate
Not in labor force
ASIAN
Civilian noninstitutional population
Civilian labor force
.
Participation rate
Employed
Employment-population ratio
Unemployed
,
Unemployment rate
Not in labor force
HISPANIC OR LATINO ETHNICITY
Civilian noninstitutional population
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
1
Differences are calculated from unrounded estimates.
presented for all races. In addition, persons whose ethnicity is
NOTE: Estimates for the above race groups (white, black or African identified as Hispanic or Latino may be of any race and, therefore,
American, and Asian) do not sum to totals because data are not
are classified by ethnicity as well as by race.
*
BLS National Establishment Estimates Revised
to incorporate March 2005 Benchmarks
Kirk Mueller
W
ith the release of data for January 2006, the Bureau
of Labor Statistics (BLS) introduced its annual
revision of national estimates of employment,
hours, and earnings from the Current Employment Statistics
(CES) monthly survey of nonfarm establishments. Each year,
the CES survey realigns its sample-based estimates to reflect
more currently available universe counts of employment—a
process known as benchmarking. Comprehensive counts of
employment, or benchmarks, are derived primarily from the
unemployment insurance (UI) tax reports that nearly all
employers are required to file with State Workforce Agencies.
professional and business services, or 2.1 and 0.4 percent, respectively. Within financial activities, the
credit intermediation and related activities industry was
revised -49,000, or -1.7 percent. Within the information
supersector, telecommunications was revised by -25,200,
or -2.5 percent, while administrative and waste services,
a part of professional and business services, was revised
by-122,100, or-1.6 percent.
Manufacturing had a smaller revision of-47,000, or -0.3
percent, with nondurable goods accounting for the magnitude
with a revision of-50,000, or-0.9 percent. Minor downward
revisions were made in education and health services (-5,000,
or less than -0.05 percent) and natural resources and mining
(-2,000, or -0.3 percent).
The trade, transportation, and utilities supersector was
revised upward by 74,000, or 0.3 percent. Retail trade
dominated with a revision of 74,300, or 0.5 percent, while an
upward revision in wholesale trade of 25,000, or 0.4 percent
was offset by downward revisions in utilities (-20,600,
or -3.7 percent) and transportation and warehousing (-4,800,
or -0.1 percent).
Construction estimates were raised by 35,000, or 0.5
percent, and government estimates were revised upward by
8,000, or less than 0.05 percent.
Summary of the benchmark revisions
The March 2005 benchmark level for total nonfarm
employments 132,038,000, afigurethat is 158,000 below the
NAICS sample-based estimate for March 2005, an adjustment
of-0.1 percent. Table 1 shows the total nonfarm percentage
benchmark revisions for the past 10 years.
Table 2 shows the nonfarm employment benchmarks for
March 2005, not seasonally adjusted, by industry. No
individual supersector dominated in terms of the size of tibe
revision. The largest downward revision occurred in other
services with a revision of-69,000, or -1.3 percent. This
revision can be attributed primarily to membership
associations and organizations with a downward revision of
69,200, or 2.4 percent.
Other supersectors had downward revisions of
approximately the same magnitude. Estimates in financial
activities were revised by -68,000, or -0.8 percent, while
estimates were revised by -64,000 in information and also in
Changes to direct life insurance carriers series
Population levels of direct life insurance carriers have
historically included non-UI-covered employment that
accounted for approximately 100,000, or between 20 and 25
percent, of the employment in the series. With the most
recently available County Business Pattern data, (the source
for non-UI-covered employment benchmarks), the industry
refiling of the U.S. Census Bureau's Economic Census led to
a large shift of employment between direct life insurance
Kirk Mueller is a supervisory statistician in the Division of Current
Employment Statistics, Office of Employment and Unemployment
Statistics, Bureau of Labor Statistics. Telephone: (202) 691-6555;
e-mail: CESInfo@bls.gov.
Table 1. Percent differences between nonfarm employment benchmarks and estimates by industry sector, March 1996-2005 1
Industry
Total nonfarm
Total private
Government
1
2
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
(2)
0.4
.5
-.4
(2)
0.1
-.2
0.2
.2
.1
0.4
.3
.6
-0.1
-.2
.3
-0.2
-.4
1.0
-0.1
-.2
.3
0.2
.2
.1
-0.1
-.2
0.1
-.1
Differences are based on comparisons of final published March estimates and benchmark levels, as originally published.
Less than 0.05 percent.
5
(2)
Table 2. Differences between nonfarm employment benchmarks and estimates by industry sector and
selected industry detail, March 2005
(Numbers in thousands)
Difference
Industry
Benchmark
Estimate
Amount
Total nonfarm
132,038
132,196
-158
Total private
109,892
110,058
-166
Goods-producing
21,640
21,654
-14
602
64
539
124
203
72
213
604
65
540
123
209
76
208
-2
-1
-1
1
-6
-4
5
6,838
1,628
6,803
1,635
Natural resources and mining
Logging
Mining.,
Oil and gas extraction
Mining, except oil and gas
Coalmining
Support activities for mining
,
Construction
;.
Construction of buildings
Heavy and civil engineering construction
Specialty trade contractors
842
827
4,369
4,341
35
-7
15
28
14,200
14,247
-47
Durable goods
Wood product
Nonmetailic 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
Furniture and related products
Miscellaneous manufacturing
8,930
8,927
551
491
469
547
489
466
1,511
1,157
1,312
1,513
1,153
1,323
205
147
450
434
438
211
153
446
435
444
1,785
1,778
568
649
566
649
3
4
2
3
-2
4
-11
-6
-6
4
-1
-6
7
2
0
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
5,270
1,458
5,320
1,470
187
224
172
265
40
488
648
109
877
802
186
229
178
263
43
500
655
113
878
805
-50
-12
1
-5
-6
2
-3
-12
-7
-4
-1
-3
110,398
110,542
-144
88,252
88,404
-152
Manufacturing
Service-providing
Private service-providing
Trade, transportation, and utilities
Wholesale trade
Electronic markets and agents and brokers....
25,501
5,699
Retail trade
Motor vehicle and parts dealers
Automobile dealers
Furniture and home furnishings stores
See footnote at end of table.
6
I
25,427
5,674
724
713
14,951
1,904
1,258
14,877
1,901
1,248
567
557
|
!
74
25
11
!
74
3
I
10
10
Table 2. Differences between nonfarm employment benchmarks and estimates by industry sector and
selected industry detail, March 2005—Continued
(Numbers in thousands)
Difference
Industry
Benchmark
Estimate
Amount
Retail trade—Continued
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
522
1,243
517
1,240
2,779
2,794
943
865
941
860
1,354
628
2,847
1,546
881
425
1,346
621
2,784
1,569
897
412
5
3
-15
-2
-5
8
7
63
-23
-16
13
4,298
504
227
57
1,360
402
38
22
548
564
577
4,303
505
222
59
21
550
576
570
-5
-1
5
-2
4
-2
-1
1
-2
-12
7
554
574
-20
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
3,056
904
364
325
30
3,120
Financial activities
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
1,356
404
39
1,003
331
35
1,028
379
394
51
51
-64
-2
-13
-6
-5
-25
-15
0
8,063
8,131
-68
Finance and insurance
Monetary authorities - central bank
Credit intermediation and related activities.....
Depository credit intermediation
Commercial banking
Securities, commodity contracts, investments....
Insurance carriers and related activities
Funds, trusts, and other financial vehicles
5,980
21
2,844
1,761
1,292
783
2,244
88
6,034
20
2,893
-54
1
1,792
1,306
785
2,250
85
-31
-14
-2
-6
3
Real estate and rental and leasing
Real estate
Rental and leasing services
Lessors of nonfinancial intangible assets
2,083
1,419
638
26
2,097
1,426
647
24
-14
-7
-9
2
16,540
16,604
-64
7,024
1,157
951
1,268
1,178
824
6,986
1,153
983
1,277
1,175
38
4
-32
-9
3
35
,
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.
See footnote at end of table.
7
906
377
789
-49
Table 2. Differences between nonfarm employment benchmarks and estimates by industry sector and
selected industry detail, March 2005—Continued
(Numbers in thousands)
Difference
Industry
Benchmark
Estimate
Amount
Management of companies and enterprises
1,739
1,718
21
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
7,778
7,448
3,376
2,377
767
1,600
330
7,900
7,581
3,510
2,396
757
1,601
319
-122
-133
-134
-19
10
-1
11
17,355
17,360
-5
2,961
2,973
-12
14,395
5,049
2,070
467
806
4,311
2,834
1,573
2,201
791
14,387
5,030
2,089
453
796
4,340
2,823
1,569
2,194
799
8
19
-19
14
10
-29
11
4
7
-8
12,365
12,321
44
1,707
350
112
1,245
1,655
342
108
1,204
52
8
4
41
10,657
1,748
8,909
10,667
1,769
8,898
-10
-2.1
11
5,372
1,239
1,270
2,863
5,441
1,235
1,274
2,933
-69
4
-4
-70
22,146
22,138
8
2,716
1,946
770
2,709
1,932
777
7
14
-7
5,157
2,397
2,760
5,168
2,433
2,736
-11
-36
24
14,261
8,177
6,084
12
9
4
Education and health services
Educational services
Health care and social assistance
Ambulatory health care services
Offices of physicians
Outpatient care centers
Home health care services
Hospitals
Nursing and residential care facilities
Nursing care facilities
Social assistance
Child day care services
,
,
,
Leisure and hospitality
Arts, 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
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
14,273
8,186
6,088
Local government
Local government education
Local government, excluding education....
1
Less than 0.05 percent.
&
I
!
Why benchmarks differ from estimates
carriers (NAICS 524113) and direct health and medical
insurance carriers (NAICS 524114). As a result, the majority
of the non-UI-covered employment previously in direct life
insurance is now associated with direct health and medical
insurance carriers, leading to large benchmark revisions for
these two industries (-93,000 and +95,600, respectively). See
the section on benchmark source material for more
information.
A benchmark revision is the difference between the
benchmark employment level of a particular series for a given
March and its corresponding sample-based estimate. The
overall accuracy of the establishment survey is usually
gauged by the size of this difference. The benchmark revision
often is regarded as a proxy for total survey error, but this
approach does not take into account error in the universe
data. The employment counts obtained from quarterly
unemployment insurance tax forms are administrative data
that reflect employer recordkeeping practices and differing
State laws and procedures. The benchmark revision can be
more precisely interpreted as the difference between two
independently derived employment counts, each subject to
its own error sources.
Like all sample surveys, the establishment survey is
susceptible to two sources of error: sampling error and
nonsampling error. Sampling error is present any time a
sample is used to make inferences about a population. The
magnitude of the sampling error, or variance, relates directly
to the sample size and the percentage of the universe covered
by the sample. The CES monthly survey captures slightly
under one-third of the universe, exceptionally high by usual
sampling standards. This coverage ensures a small sampling
error at the total nonfarm employment level.
Both the universe counts and the establishment survey
estimates are subject to nonsampling errors common to all
surveys: coverage, response, and processing errors. The
error structures for both the CES monthly survey and the UI
universe are complex. Still, the two programs generally
produce consistent total employment figures, each validating
the other. Over the last decade, annual benchmark revisions
at the total nonfarm level have averaged 0.2 percent, with an
absolute range from less than 0.05 percent to 0.4 percent.
(See table 1.)
Changes to the CES published series
Each year the CES program conducts a review ofthe adequacy
of its sample for its estimation and publication cells and makes
warranted adjustments. This year, several changes resulted
from the annual review of sample employment and universe
coverage. Some all-employee series will no longer be
published separately, but will be collapsed into other cells,
while other all-employee series will be discontinued. Exhibit
1 shows the cells that will be collapsed and renamed. Exhibit
2 shows the discontinued all-employee series.
Review of the sample receipts also has led to the
discontinuation of production worker, average weekly hours,
average hourly earnings, average weekly earnings, and
average overtime hours estimates for some small industries
that no longer make up a sufficient sample. Exhibit 3 shows
the series that will be discontinued.
Revisions in the postbenchmark period
Postbenchmark-period estimates from April 2005 to October
2005 were calculated for each month on the basis of new
benchmark levels andnew model-based estimates for the net
birth/death employment.
Table 3 presents revised total nonfarm employment data
on a seasonally adjusted basis for January through December
2005. The revised data for April 2005 forward incorporate the
effect of applying the rate of change measured by the sample
to the new benchmark level, as well as updated net birth /
death model adjustments, and new seasonal adjustment
factors. The November and December 2005 revisions also
reflect the routine incorporation of additional sample receipts
into the November final and December second preliminary
estimates and the introduction of a slightly new sample
composition resulting from the annual sample update.
Table 4 shows the net birth/death model figures for the
supersectors over the postbenchmark period. From April
2005 to December 2005, the cumulative net birth/deathmodel
added 817,000, compared with 866,000 in the previously
published April-to-December estimates.
Effects of benchmark revisions on other data types
The routine benchmarking process results in revisions to
the series for production or nonsupervisory workers. There
are no benchmark employment levels for these series; they
are revised by preserving ratios of employment for the
particular data type to all-employee employment prior to
benchmarking and then applying these ratios to the revised
all-employee figures. The latter figures are calculated at the
basic cell level and then are aggregated to produce the
summary estimates.
Average weekly hours and average hourly earnings are
not benchmarked; instead they are estimated solely from
reports supplied by survey respondents at the basic
estimating cell level.
The aggregate industry levels of the hours and earnings
series are derived as a weighted average. The production or
nonsupervisory worker employment estimates for the basic
cells are used as weights for the hours and earnings estimates
for broader industry groupings. Adjustments of the allemployee estimates to new benchmarks may alter the weights,
Revisions to production worker data for wired
telecommunications (NAICS 51711)
During the benchmark review process, an error was found
that affected the December 2004 estimate for the production
worker series and, as a result, the production worker level
from that point forward. The production worker series
has been corrected for all months from December 2004
forward.
9
Exhibit 1. Published series with changed scape effective with March 2005 benchmark revisions
Industry title
NAICS code
Series disposition
Miscellaneous electronic components
334411,4,5,6,7,9
Electron tubes (NAICS 334411) and electronic
capacitors (NAICS 334414) are collapsed into
miscellaneous electronic components (NAICS 334419).
Motor homes, travel trailers, and campers
336213,4
Motor homes (NAICS 336213) is collapsed into NAICS
336214. NAICS 336214 was formerly called travel
trailers and campers. The new title is motor homes,
travel trailers, and campers.
Fruit, vegetable, and specialty canning
311421,2
Fruit and vegetable canning (NAICS 311421) is
collapsed into NAICS 311422. NAICS 411422 was
formerly called specialty canning. The new title is
fruit, vegetable, and specialty canning.
Exhibit 2. Discontinued all-employee series effective with March 2005 benchmark revisions
Industry title
NAICS code
Highest published level
All other motor vehicle parts
336399
Other motor vehicle parts (NAICS 33639)
Sheer hosiery mills
315111
Hosiery and sock mills (NAICS 31511)
Other hosiery and sock mills
315119
Hosiery and sock mills (NAICS 31511)
Exhibit 3. Discontinued published series effective with March 2005 benchmark revisions by data type and sector
Industry title
NAICS code
Data type and sector affected
Production workers, average weekly hours, average
hourly earnings, and average weekly earnings series
Prefabricated metal buildings and components ...
332311
Manufacturing
Average overtime hours
Small arms, ammunition, and other ordnance
and accessories
332992,3,4,5
Manufacturing
Photographic and photocopying equipment
333315
Manufacturing
Motor vehicle steering and suspension parts
33633
Manufacturing
Accessories and other apparel
3159
Manufacturing
Miscellaneous coated and treated paper
and paper bags
322223,4,5,6
Manufacturing
Agricultural chemicals
3253
Manufacturing
which in turn, may change the estimates for hours and
earnings of production or nonsupervisory workers at higher
levels of aggregation.
Generally, new employment benchmarks have little effect
on hours and earnings estimates for major groupings. To
influence the hours and earnings estimates of a broader
group, employment revisions have to be relatively large and
must affect industries which have hours or earnings averages
that are substantially different from those of other industries
in their group. Table 5 gives information on the levels of
10
specific hour and earnings series resulting from the March
2005 benchmark. At the total private level, there was a
decrease of-0.1 hour in average weekly hours from the
previously published level, while average hourly earnings
was unchangedfromits previously published level.
rate since the last benchmark. Applying previously derived
over-the-month sample changes to the revised March level
yields revised estimates for the months following the March
benchmark. New net birth/death model estimates also are
calculated and applied during postbenchmark estimation, and
a new sample is introducedfromthe annual update.
Methods
Benchmark adjustment procedure. Establishment survey
benchmarking is done on an annual basis for a population
derived primarilyfromthe administrativefilesof employees
covered by unemployment insurance (UI). The time required
to complete the revision process—from the full collection of
the UI population data to publication of the revised industry
estimates—is about 10 months. The benchmark adjustment
procedure replaces the March sample-based employment
estimates with Ul-based population counts for March. The
benchmark therefore determines thefinalemployment levels,
while sample movements capture month-to-month trends.
Benchmarks are established for each basic estimating cell
and are aggregated to develop published levels. On a not
seasonally adjusted basis, the sample-based estimates for
the year preceding and the year following the benchmark
also are then subject to revision. Employment estimates for
the months between the most recent March benchmark and
the previous year's benchmark are adjusted with the use of a
"wedge-back" procedure in which the difference between
the benchmark level and the previously published March
estimate for each estimating cell is computed. This difference,
or error, is then linearly distributed across the 11 months of
estimates subsequent to the previous benchmark; eleventwelfths of the March difference is added to the Februaiy
estimates, ten-twelfths to the January estimates, and ending
with the previous April estimates, which receive one-twelfth
of the March difference. The wedge-back procedure assumes
that the total estimation error has accumulated at a steady
Benchmark source material. The principal source of
benchmark data for private industries is the Quarterly Census
of Employment and Wages (QCEW), also known as the
ES-202. The QCEW contains employment data provided to
State Workforce Agencies by employers covered by State
UI laws. BLS uses several other sources to establish
benchmarks for the remaining industries that are partially
covered or exemptfrommandatory UI coverage, accounting
for 3 percent of the nonfarm employment total.
Data on employees covered under Social Security laws
are published by the U.S. Census Bureau in County Business
Patterns, and are used to augment UI data on nonoffice
insurance sales workers, child day care workers, religious
organizations, and private schools and hospitals.
Benchmarks for State and local government hospitals and
educational institutions are based on the Annual Census of
Governments conducted by the U.S. Census Bureau.
Benchmark datafromthese sources are available only on a
lagged basis. Extrapolation to a current level is accomplished
by assuming and applying the employment trendsfromthe
Ul-covered part of the population in these industries to the
noncovered part. Universe data for interstate railroads are
obtainedfromthe Railroad Retirement Board.
Business birth and death estimation. Regular updating of
the CES sampleframewith informationfromthe UI universe
files helps to keep the CES survey current with respect to
employment resulting from business births and business
deaths. Even the timeliest UI universefilesavailable, however,
Table 3. Revisions in total nonfarm employment, seasonally adjusted, January-December 2005
(in thousands)
Levels
Year and month
As
previously
published
Over-the-month changes
As
revised
Difference
As
previously
published
As
revised
Difference
124
300
122
292
126
175
277
148
17
25
305
108
76
265
140
228
106
166
241
175
48
37
354
140
-48
-35
18
-64
-20
-9
-36
27
31
12
49
32
2005
January
February
March
April
May
June
July
August
September
October
November
December p
132,573
t32,873
132,995
133,287
133,413
133,588
133,865
134,013
134,030
134,055
134,360
134,468
132,471
132,736
132,876
133,104
133,210
133,376
133,617
133,792
133,840
133,877
134,231
134,371
p = preliminary.
11
-102
-137
-119
-183
-203
-212
-248
-221
-190
-178
-129
-97
Table 4. Net birth/death estimates for private nonfarm sectors, postbenchmark 2005
(In thousands)
Year and month
Total
Natural
Trade,
ProfesEduca- Leisure
monthly
transsional
reand
tion
and
Other
ConManuInforFinancial
amount
portation,
and
sources
hos- services
struction facturing
mation activities {business health
and
conand
pitality
services services
utilities
tributed
mining
2005
April
May
June
July
August
September
October
November
December
,
0
34
38
29
-11
16
11
0
-6
-5
Cumulative total.
3
106
1
8
8
-21
0
6
-4
1
2
11
24
22
-22
23
20
14
14
19
-5
4
0
-6
4
-2
9
4
1
125
always will be a minimum of 9 months out of date. The CES
survey thus cannot rely on regularframemaintenance alone
to provide estimates for business birth and death employment
contributions. BLS has researched both sample-based and
model-based approaches to measuring birth units that have
not yet appeared on the UI universe frame. Because the
research demonstrated that sampling for births was not
feasible over the very short CES production timeframes, the
Bureau is utilizing a model-based approach for this
component.
Earlier research indicated that, while both the business
birth and death portions of total employment are generally
significant, the net contribution is relatively small and stable.
To account for this net birth/death portion of total
employment, BLS is utilizing an estimation procedure with
two components. The first component uses business deaths
to impute employment for business births. This component
is incorporated into the sample-based link relative estimate
procedure by simply not reflecting sample units going out of
business, but instead imputing the same trend to them as
seen in the other firms in the sample. The second component
is an ARIMA (Auto-Regressive Integrated Moving Average)
time-series model designed to estimate the residual net birth/
death employment not accounted for by the imputation. The
historical time series used to create and test the ARIMA
model was derivedfromthe UI universe microlevel database
and it reflects the actual residual net of births and deaths
over the past 5 years. The ARIMA model component is
reviewed on a quarterly basis. The net birth/death model
component figures are unique to each month and include
negative adjustments in some months. Furthermore, these
figures may exhibit a seasonal pattern that also is observed
in the historical UI universe data series.
The most significant potential drawback to this, or any
model-based approach, is that time-series modeling assumes
a predictable continuation of historical patterns and
-3
2
5
-9
8
4
24
5
13
64
19
25
-15
23
13
35
4
10
21
14
-1
-11
19
19
20
8
5
90
75
81
32
27
-25
-42
-9
15
49
178
94
244
-5
6
6
-10
4
3
0
1
3
206
191
176
-72
125
50
57
21
63
817
relationships, and therefore, is likely to have some difficulty
producing reliable estimates at economic turning points or
during periods when there are sudden changes in trend. BLS
will continue researching alternative model-based techniques
for the net birth/death component; it is likely to remain the
most problematic part of the estimation process.
Availability of revised data
LABSTAT, the BLS public database on the Internet, contains
all historical employment, hours, and earnings data, both
unadjusted and seasonally adjusted, that have been revised
as a result of this benchmark. The data can be accessed at
http://www.bls.gov/ces/, the Current Employment Statistics
program homepage. Employment, hours, and earnings
estimates also are published monthly in Employment and
Earnings.
Seasonal adjustment procedure
BLS uses X-12-ARIMA software developed by the U.S.
Census Bureau to seasonally adjust national employment,
hours, and earnings series derived from the CES program.
BLS computes seasonal factors concurrently with the
monthly estimate production. Individual series are seasonally
adjusted with either a multiplicative or an additive model
(table 6), and seasonal adjustment factors are directly applied
to the component levels. For employment, individual threedigit NAICS series are seasonally adjusted, and higher-level
aggregates are formed by the summation ofthese components
series. Seasonally adjusted totals for hours and earnings are
obtained by taking weighted averages of the seasonally
adjusted data for the component series.
Special model adjustments
Variable survey intervals. Beginning with the release of the
1995 benchmark, BLS refined the seasonal adjustment
procedures to control for survey interval variations,
12
Table 5. Effect of March 2005 benchmark revisions on hours and earnings estimates, selected industries
Average weekly hours
Industry
Average hourly earnings
As
previously
published
As
revised
Difference
As
previously
published
As
revised
Total private
33.5
33.4
•0.1
$15.95
$15.95
Goods-producing
39.7
39.6
-.1
17.37
17.37
Natural resources and mining
44.9
44.9
0
18.36
18.33
Construction
37.8
37.8
19.25
19.24
Manufacturing
40.4
40.4
16.41
16.42
40.8
39.1
41.1
43.0
40.6
40.8
39.2
41.1
43.0
40.6
42.2
39.5
40.0
42.2
39.4
39.0
0
1
0
0
0
0
0
1
0
0
0
17.16
13.11
16.28
18.76
15.62
17.02
18.00
15.11
21.84
13.37
14.05
17.16
13.13
16.30
18.76
15.63
17.03
17.96
15.11
21.83
13.36
14.03
38.5
44.6
42.2
39.8
39.6
38.2
39.9
40.3
39.6
36.3
37.6
41.7
38.4
44.6
42.3
39.8
0
0
1
0
0
0
0
1
1
0
1
0
15.19
13.02
18.94
12.26
11.56
10.05
11.48
17.93
15.70
24.78
19.47
14.70
15.19
13.01
18.99
12.26
11.57
10.07
11.48
17.95
15.68
24.80
19.48
14.71
32.1
32.1
0
15.59
15.58
Trade, transportation, and utilities
Wholesale trade
Retail trade
Transportation and warehousing
Utilities
33.2
37.5
30.3
36.8
40.1
33.2
37.5
30.3
36.8
40.1
0
0
0
0
0
14.86
17.91
12.35
16.60
26.34
14.83
17.88
12.35
16.59
26.31
Information
36.1
36.2
1
21.68
21.64
Financial activities
35.6
35.6
0
17.76
17.76
Professional and business services
33.9
33.9
0
17.83
17.89
Education and health services
32.4
32.4
0
16.51
16.50
Leisure and hospitality
25.4
25.4
0
9.07
9.08
Other services
30.7
30.7
0
14.18
14.18
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
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
Private service-providing
42.2
39.6
39.9
42.2
39.4
39.0
39.6
33.2
40. D
40.3
39.6
38.3
37.6
41.(3
sometimes referred to as the 4- versus 5-week effect Although
the CES survey is referenced to a consistent concept—the
pay period that includes the 12th of each month—
inconsistencies arise because there are sometimes 4 and
sometimes 5 weeks between the weeks that include 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 compUcating seasonal
adjustment.
13
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 ofthe adjustment,
the procedure did not distinguish between 4- and 5-week
survey intervals, and the accuracy ofthe 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, the greatest potential for
distortion occurred when the current month being estimated
Construction series. Beginning with the 1996 benchmark
revision, BLS utilized special treatment to adjust construction
industry series. In the application of the interval-effect
modeling process to the construction series, there initially
was difficulty in identifying and measuring the effect
accurately because of the strong influence of variable weather
patterns on employment movements in the industry. Further
research enabled BLS to apply interval-effect modeling to
the construction industry by disaggregating the construction
series into its finer industry and geographic estimating cells
and tightening outlier designation parameters. This
procedure allowed a more precise identification of weatherrelated outliers that had masked the interval effect and
clouded the seasonal adjustment patterns in general. With
these outliers removed, interval-effect 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 4versus 5-week effect.
had a 5-week interval, but the 3 years preceding it were all 4week intervals, or, conversely, when the current month had a
4-week interval, but the 3 years preceding it were all 5-week
intervals.
BLS has adopted REGARIMA (regression with
autocorrelated errors) modeling to identify the estimated size
and significance of the calendar effect on 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 their 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 fit with the use ofARIMA models. If autocorrelated time
series are modeled through regression analysis alone,
however, 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 that is attributable to 11 separate survey
interval variables, one specified for each month except
March, which is excluded because there is almost always 4
weeks between the February and March surveys. Models
for individual basic series were 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 months that are modeled.
The X-12-ARIMA software also produces diagnostic
statistics that permit assessment of the statistical significance
of the regression coefficients, and all series are reviewed for
adequacy with respect to the model.
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 with the standard X-12-ARIMA
software.
For a few series, REGARIMA models do not fit well; these
series are seasonally adjusted with the X-12 software, but
without the interval-effect adjustment. Several additional
special effects modeled through the REGARIMA process
are described next.
Floating holidays. BLS also continues the practice of making
special adjustments for average weekly hours and average
weekly overtime hours 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, back to the starting date of each series.
Local government series. A special adjustment also is made
in November each year to account for variations in
employment due to the presence or absence of poll workers
in the local government, excluding educational services,
series.
Refinements in seasonal adjustmentfor hours and earnings.
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-the-month changes in both the average weekly
hour 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 (months with 20 or 21 weekdays) than in
"long" months (months with 22 or 23 weekdays). The effect
is stronger for the hours series than for the earning series.
This 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 reported will be varied. A constant
level of hours reported most likely occurs when employees
14
hourly earnings, the length-of-pay-period variable is
significant in wholesale trade, in financial activities, in
professional and business services, and in other services.
All average weekly hours series in the service-producing
industries, except retail trade, have been adjusted from
January 1990 forward. The average hourly earnings series
for wholesale trade, financial activities, professional and
business services, and other services have been adjusted
from January 1990 forward as well. For this reason,
calculations of over-the-year change in the establishment
hours and earnings series should use seasonally adjusted
data.
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. (See table 6 for series that have the
calendar-effect modeling described in this section.)
are salaried rather than paid by the hour, because employers
are less likely to keep actual detailed records of hours worked
for such employees. This 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 (varying them
according to the length of the month), which 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 troughs in long months.
REGARIMA modeling is used to identify, measure, and
remove the length-of-pay-period effect for seasonally
adjusted average weekly hours and average hourly earnings
series. The length-of-pay-period variable proves significant
for explaining movements in average weekly hours in all the
service-providing industries, except retail trade. For average
15
Table 6. Mode of adjustment used for seasonal adjustment of nonfarm payrolf series
Special adjustments
Industry
Mode of
adjustment
4/5 week
10/11
day
All employees
Logging
OH and gas extraction
Mining, except oil and gas
Coalmining
Support activities for mining
Residential building
Nonresidential building
Heavy and civil engineering construction
Specialty trade contractors
Residential specialty trade contractors
Additive
Multiplicative
Nonresidential specialty trade contractors
Multiplicative
Additive
Additive
Multiplicative
Multiplicative
Multiplicative
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
Multiplicative
Additive
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Electronic instruments
Electrical equipment and appliances
Transportation equipment
Motor vehicles and parts.
Furniture and related products
Miscellaneous manufacturing
Food manufacturing
Beverages and tobacco products
Textile mills
Textile product mills
Additive
Multiplicative
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Additive
Multiplicative
Additive
X
X
Apparel..
Leather and allied products
Paper and paper products
Printing and related support activities
Petroleum and coal products
Chemicals
Plastics and rubber products
Wholesale trade, durable goods
Wholesale trade, nondurable goods
Electronic markets and agents and brokers
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
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.
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
General merchandise stores
Department stores
Miscellaneous store retailers
Nonstore retailers
Air transportation
Rail transportation
Water transportation
Truck transportation
Transit and ground passenger transportation
Pipeline transportation
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Additive
Additive
Multiplicative
See footnotes at end of exhibit.
16
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Easter/
Labor Day
Table 6. Mode of adjustment used for seasonal adjustment of nonfarm payroll series—Continued
Special adjustments
Industry
Mode of
adjustment
4/5 week
10/11
day
All employees
Scenic and sightseeing transportation
Support activities for transportation
Couriers and messengers
Warehousing and storage
Utilities
Publishing industries, except Internet
Motion picture and sound recording industries
Broadcasting, except Internet
Internet publishing and broadcasting
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
Telecommunications
ISPs, search portals, and data processing
Other information services
Monetary authorities - central bank
Credit intermediation and related activities
Depository credit Intermediation
Commercial banking
Securities, commodity contracts, investments
Insurance carriers and related activities
Funds, trusts, and other financial vehicles
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
Real estate....
Rental and leasing services
Lessors of nonfinancial intangible assets
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
Multiplicative
Multiplicative
Multiplicative
Administrative and support services
Employment services
Temporary help services
Business support services
Services to buildings and dwellings
Waste management and remediation services
Educational services
Ambulatory health care services
Offices of physicians
Outpatient care centers
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Home health care services
Hospitals
Nursing and residential care facilities
Nursing care facilities
Social assistance
Child day care services
Performing arts and spectator sports
Museums, historical sites, zoos, and parks
Amusements, gambling, and recreation
Accommodations
Additive
Multiplicative
Food services and drinking places
Repair and maintenance
Personal and laundry services
Membership associations and organizations
Federal Government, except U.S. Postal Service
U.S. Postal Service
State government education
State government, excluding education
Local government education
Local government, excluding education
Multiplicative
Additive
Multiplicative
Additive
Multiplicative
Multiplicative
Additive
Multiplicative
Additive
Additive
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
See footnotes at end of exhibit.
17
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Easter/
Labor Day
Table 6. Mode of adjustment used for seasonal adjustment of nonfarm payroll series—Continued
Industry
Mode of
adjustment
Special adjustments
4/5 week
10/11
day
Easter/
Labor Day
Production or nonsupervisory workers 4
Natural resources and mining
Construction
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
Additive
Additive
Additive
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
Furniture and related products
Miscellaneous manufacturing
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
Multiplicative
Multiplicative
Multiplicative
Additive
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
X
Chemicals
Plastics and rubber products
Wholesale trade
Retail trade
Transportation and warehousing
Utilities
Information
Financial activities
Professional and business servicesEducation and health services
Leisure and hospitality
Other services
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Additive
X
X
X
X
X
X
X
X
X
X
X
X
Average weekly hours'
Natural resources and mining
Construction
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products
Electrical equipment and appliances..
Multiplicative
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Transportation equipment
Motor vehicles and parts
Furniture and related products
Miscellaneous manufacturing
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
Multiplicative
Multiplicative
Additive
Multiplicative
Multiplicative
Additive
Additive
Additive
Additive
Additive
Multiplicative
Multiplicative
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
See footnotes at end of exhibit.
18
Other
Table 6. Mode of adjustment used for seasonal adjustment of nonfarm payroll series—Continued
Special adjustments
Industry
Mode of
adjustment
4/5 week
10/11
day
Easter/
Labor Day
Other
XX
X
X
XXX
XXXXXX
X
X
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
Petroleum and coal products
Chemicals
Plastics and rubber products
Wholesale trade
Retail trade
Transportation and warehousing
Utilities
Information
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other services
XXX
Average weekly hours 4
Average overtime hours 5
Manufacturing, durable goods
Manufacturing, nondurable goods
Multiplicative
Additive
X
X
X
X
Multiplicative
Additive
Additive
Additive
Additive
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
Multiplicative
X
X
X
X
Education and health services
Leisure and hospitality
Other services
Multiplicative
Additive
Multiplicative
X
X
1
4
Data relate to production workers in natural resources and
mining and manufacturing; construction workers in construction;
and nonsupervisory workers in private service-providing
industries.
5
Data relate to production workers in manufacturing.
Seasonal adjustment occurs at the finest industry detail available.
Residential and nonresidential specialty trade contractors
estimates are raked to the specialty trade contractors estimates to
ensure consistency.
3
Special adjustment for the presence/absence of poll workers n
local government.
2
X
X
X
X
X XX
Natural resources and mining
Construction
,
Manufacturing, durable goods
Manufacturing, nondurable goods
Wholesale trade
Retail trade
Transportation and warehousing
Utilities
Information
Financial activities
Professional and business services....
X
Average hourly earnings 4
19
Summary table A. Major labor force status categories, seasonally adjusted
(Numbers in thousands)
2006
2005
Category
Jan.
May
Apr.
Mar.
Feb.
Aug.
July
June
Sept.
Oct.
Nov.
Dec.
Jan.
226,693
150,083
66.2
142,435
62.8
7,648
76,610
226,959
150,043
66.1
142,625
62.8
7,418
76,916
227,204
150,183
66.1
142,611
62.8
7,572
77,021
227,425
150,153
66.0
142,779
62.8
7,375
77,271
227,553
150,114
66.0
143,074
62.9
7,040
77,439
5.1
4.5
4.6
15.8
4.5
9.5
6.5
4.9
4.3
4.6
15.9
4.4
9.1
5.9
Employment status
224,837
147,956
65.8
140,234
62.4
7,723
76,881
Civilian noninstitutional population
Civilian labor force
Percent of population
Employed
Percent of population
Unemployed
Not in labor force
225,041
148,271
65.9
140,285
62.3
7,986
76,770
225,236
148,217
65.8
140,601
62.4
7,616
77,019
225,441
148,839
66.0
141,196
62.6
7,644
76,601
225,670
149,201
66.1
141,571
62.7
7,629
76,469
226,153
149,605
66.2
142,111
62.8
7,494
76,548
225,911
149,243
66.1
141,750
62.7
7,493
76,668
226,421
149,792
66.2
142,425
62.9
7,367
76,629
Unemployment rates
All workers
Men, 20 years and over
Women, 20 years and over
Both sexes, 16 to 19 years
White
Black or African American
Hispanic or Latino ethnicity
i
5.2
4.7
4.6
16.2
4.5
10.5
6.2
5.4
4.9
4.7
17.6
4.6
10.8
6.3
5.1
4.5
4.5
16.9
4.4
10.3
5.7
5.1
4.4
4.6
17.6
4.4
10.3 i
6.4
5.1
4.4
4.6
17.7
4.4
10.0 |
5.9
5.0
4.3
4.7
16.0
4.3
9.4
5.5
5.0
4.3
4.6
16.3
4.3
10.3
5.8
4.9
4.3
4.4
16.4
4.2
9.7
5.8
5.0
4.3
4.6
17.1
4.2
10.6
6.1 |
4.9
4.3
4.5
15.2
4.3
9.3 !
6.0
4.7
4.0
4.3
15.3
4.1
8.9
5.8
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
Summary table B. Employment, hours, and earnings of employees on nonfarm payrolls, seasonally adjusted
( N u m b e r s in thousands)
2006
2005
Industry
Jan.
Feb.
Mar.
Apr.
May
July
June
Aug.
Sept.
Oct.
Nov.
Dec.P
133,792
133,840
22,143
7,325
14,187
133,877
22,179
7,347
14,196
111,698
134,231
22,264
134,371
22,273
7,414
14,213
112,098
15302.3
8,201
16,991
17,440
12,840
21,852
8,217
17,061
17,481
12,881
21,880
Jan.P
Employment
Total nonfarm
Goods-producing1
Construction
Manufacturing
..
Service-providing1
Retail trade
Transportation and warehousing ...
Information
Financial activities
Professional and business services .
Education and health services
Leisure and hospitality
Government
132,471 132,736
21,988 22,052
7,115
7,166
132,876
22,077
14,268
110,483
15156.7
4308.5
3,068
8,091
16,638
17,176
12,673
21,715
14,268
110,799
15211.1
4330.1
3,067
14,276
110,684
15198.1
4319.3
3,063
8,097
16,711
17,188
12,703
21,741
7,193
8,096
16,745
17,211
12,722
21,747
133,104
22,119
7,243
14,256
110,985
15233.5
4340.2
3,072
8,100
16,780
17,241
12,770
21,768
133,210
22,126
7,255
14,251
111,084
15249.4
4348.4
3,065
8,101
16,794
17,291
12,778
21,773
133,376
22,133
7,277
14,233
111,243
15256.3
4347.6
3,062
8,114
16,844
17,333
12,802
21,786
133,617
22,131
7,283
14,224
111,486
15309.8
4353.0
3,061
8,136
16,898
17,368
12,833
21,822
22,146
7,306
14,213
111,646
15312.9
7,409
14,214
111,697
111,967
15267.0 15259.6 15292.9
4355.4
4353.9
4358.4 4370.2
3,065
3,071
3,064
3,058
8,155
8,172
16,932
16,997
17,413
17,451
12,826
21,855
12,860
21,851
134,564
22,331
7,460
14,220
112,233
15300.8
4368.8 4375.1
3,066
3,064
8,224
8,245
17,129
17,153
17,503
17,542
12,896 12,922
21,874
21,875
Over-the-month change
Total nonfarm
Goods-producing1
Construction
Manufacturing
Service-providing1
Retail trade
Transportation and warehousing ...
Information
Financial activities
Professional and business services .
Education and health services
Leisure and hospitality
Government
76
-28
-6
-26
104
17.6
10.2
-12
15
8
35
30
-1
265
64
51
6
201
140
25
27
-8
115
228
42
50
-12
186
106
7
12
-5
99
41.4
10.8
13.0
10.8
22.4
10.1
15.9
-5
4
-1
34
23
19
6
5
4
35
30
48
21
6
73
12
30
26
8.2
-7
1
14
50
8
5
241
-2
6
-9
243
166
7
22
-18
159
6.9
175
15
23
-11
160
3.1
0.9
4
19
34
45
27
29
53.5
5.4
-1
22
54
35
31
36
-0.8
-3
13
50
42
24
13
48
-3
19
-26
51
37
36
22
9
1
-45.9
-7.4
1.5
6
17
65
38
-34
4
3.0
-13
29
-6
-11
14
-3
354
85
62
18
269
33.3
11.8
140
9
5
-1
131
9.4
-1.4
2
6
16
70
41
41
28
7
68
22
15
-5
193
58
46
7
135
-1.5
6.3
-2
21
24
39
26
-1
Hours of work 2
Total private .
Manufacturing
Overtime
33.7
40.7
4.5
33.7
40.6
33.7
40.4
33.8
40.5
33.7
40.4
33.7
40.4
33.8
40.5
33.7
40.6
33.8
40.7
33.8
41.0
33.8
40.8
33.8
40.8
4.6
4.5
4.4
4.4
4.4
4.5
4.6
4.5
4.6
4.6
4.5
33.8
40.8
4.5
Indexes of aggregate weekly hours (2002=100)
Total private .
Manufacturing
101.3
93.9
101.6
93.7
101.8
93.2
102.4
93.4
102.2
93.3
102.4
93.2
102.9
93.4
102.7
93.7
103.1
93.9
103.1
94.7
103.5
94.6
103.7
94.7
103.9
94.9
$16.19
8.06
547.22
$16.28
$16.28
8.16
550.26
$16.34
8.19
$16.41
552.29
554.66
Earnings
Average hourly earnings, total private:
Current dollars
Constants 982) dollars3.
Average weekly earnings, total private .
$15.88
8.23
535.16
$15.91
8.22
536.17
$15.95
8.19
537.52
$16.00
8.16
540.80
$16.03
8.19
540.21
1
8.21
$16.14
8.20
$16.16
8.16
541.56
545.53
544.59
p
1ncludes other industries, not shown separately.
Data relate to production or nonsupervisory workers.
The Consumer Price Index for Urban Wage Earners and Clerical Workers
(CPI-W) is used to deflate this earnings series.
N.A. = not available.
8.10
550.26
= preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels
and updated seasonal adjustment factors. See the article in this issue
for additional information.
2
3
$16.07
20
Chart 1. Nonfarm payroll employment, seasonally adjusted, 2002-2006
Thousands
135,000
Thousands
135,000
122,500
122,500
120,000
120,000
117,500
117,500
2002
2003
2004
2005
2006
NOTE: Data have been revised to reflect updated seasonal adjustment factors.
Chart 2. Unemployment rate, seasonally adjusted, 2002-2006
Percent
7.0
Percent
7.0
6.5
6.5
6.0
6.0
^x
5.5
5.5
5.0
5.0
4.5
4.5
4.0
4.0
3.5
2002
'
I
I
I
I
I
I
»
t
1
I
I
2003
I
I
I
I
2004
I I
I
I I
2005
I
I I I I
l„
. . I 3.5
2006
NOTE: Beginning in 2003, data reflect an upward adjustment to population controls and other changes
to the survey. Beginning in January 2004-06, data incorporate revisions in the population controls. These
changes affect comparability with data for prior periods.
HOUSEHOLD DATA
HISTORICAL
A - 1 . Employment status of the civilian noninstitutional population 16 years a n d over, 1969 to date
(Numbers in thousands)
Civilian labor force
Year
and
month
Civilian
noninstitutional
population
Employed
Number
Percent
of
population
Number
Unemployed
Percent
of
population
Number
Percent
of
labor
force
Annual averages
1969..
134,335
80,734
60.1
77,902
58.0
2,832
3.5
1970..
1971 ...
1972 1
1973 1
1974..
1975..
1976..
1977..
1978 1
1979..
137,085
140,216
144,126
147,096
150,120
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
1980..
1981 ..
1982..
1983..
1984..
1985..
1986 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
99,302
100,397
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
9.7
9.6
7.5
7.2
7.0
6.2
5.5
5.3
1990 1
1991 ..
1992..
1993..
1994 1
1995..
1996..
1997 1
1998 1
1999 1
189,164
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
67.1
67.1
118,793
117,718
118,492
120,259
123,060
124,900
126,708
129,558
131,463
133,488
62.8
61.7
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
20001
2001..
2002..
20031
20041
20051
212,577
215,092
217,570
221,168
223,357
226,082
142,583
143,734
144,863
146,510
147,401
149,320
67.1
66.8
66.6
66.2
66.0
66.0
136,891
136,933
136,485
137,736
139,252
141,730
64.4
63.7
62.7
62.3
62.3
62.7
5,692
6,801
8,378
8,774
8,149
7,591
4.0
4.7
5.8
6.0
5.5
5.1
Monthly data, seasonally adjusted <•
2005:
January
February ...
March
April
May
June
July
August
September
October....
November
December
224,837
225,041
225,236
225,441
225,670
225,911
226,153
226,421
226,693
226,959
227,204
227,425
147,956
148,271
148,217
148,839
149,201
149,243
149,605
149,792
150,083
150,043
150,183
150,153
65.8
65.9
65.8
66.0
66.1
66.1
66.2
66.2
66.2
66.1
66.1
66.0
140,234
140,285
140,601
141,196
141,571
141,750
142,111
142,425
142,435
142,625
142,611
142,779
62.4
62.3
62.4
62.6
62.7
62.7
62.8
62.9
62.8
62.8
62.8
62.8
7,723
7,986
7,616
7,644
7,629
7,493
7,494
7,367
7,648
7,418
7,572
7,375
5.2
5.4
5.1
5.1
5.1
5.0
5.0
4.9
5.1
4.9
5.0
4.9
227,553
150,114
66.0
143,074
62.9
7,040
4.7
2006:
January 3 .
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.
s
The population figures are not adjusted for seasonal variation.
3
Beginning in January 2006, data are not strictly comparable with
data for 2005 and earlier years because of the revisions in the
population controls used in the household survey.
22
HOUSEHOLD DATA
HISTORICAL
A-2. Employment status of the civilian non institutional population 16 years and over by sex, 1993 to date
(Numbers in thousands)
Civilian labor force
Sex, year,
and month
Civilian
noninstitutional
population
Employed
Number
Percent
of
population
Number
Unemployed
Percent
of
population
Number
Percent
of
labor
force
Annual averages
MEN
1993
19941
1995
1996
19971
19981
19991
93,332
94,354
95,178
96,206
97,715
98,758
99,722
70,404
70,817
71,360
72,086
73,261
73,959
74,512
75.4
75.1
75.0
74.9
75.0
74.9
74.7
65,349
66,450
67,377
68,207
69,685
70,693
71,446
70.0
70.4
70.8
70.9
71.3
71.6
71.6
5,055
4,367
3,983
3,880
3,577
3,266
3,066
7.2
6.2
5.6
5.4
4.9
4.4
4.1
20001
2001
2002
20031
20041
20051
101,964
103,282
104,585
106,435
107,710
109,151
76,280
76,886
77,500
78,238
78,980
80,033
74.8
74.4
74.1
73.5
73.3
73.3
73,305
73,196
72,903
73,332
74,524
75,973
71.9
70.9
69.7
68.9
69.2
69.6
2,975
3,690
4,597
4,906
4,456
4,059
3.9
4.8
5.9
6.3
5.6
5.1
4,197
4,415
4,181
4,085
4,047
3,966
3,928
3,951
4,076
3,853
3,984
3,902
5.3
5.6
5.3
5.1
5.1
5.0
4.9
4.9
5.1
4.8
5.0
4.9
3,668
4.6
Monthly data, seasonally adjusted 2
2005:
January....
February ..
March
April
May
June
July
August
September
October....
November
December
108,489
108,598
108,703
108,812
108,934
109,062
109,190
109,332
109,475
109,616
109,745
109,863
79,177
79,490
79,618
79,858
80,046
80,065
80,185
80,355
80,333
80,249
80,394
80,431
73.0
73.2
73.2
73.4
73.5
73.4
73.4
73.5
73.4
73.2
73.3
73.2
74,980
75,075
75,436
75,773
75,998
76,099
76,258
76,404
76,257
76,396
76,410
76,529
2006:
January 3 .
109,936
80,525
73.2
76,857
69.9
Annual averages
WOMEN
1993
19941
1995
1996
19971
19981
19991
101,506
102,460
103,406
104,385
105,418
106,462
108,031
58,795
60,239
60,944
61,857
63,036
63,714
64,855
57.9
58.8
58.9
59.3
59.8
59.8
60.0
54,910
56,610
57,523
58,501
59,873
60,771
62,042
54.1
55.3
55.6
56.0
56.8
57.1
57.4
3,885
3,629
3,421
3,356
3,162
2,944
2,814
6.6
6.0
5.6
5.4
5.0
4.6
4.3
20001
2001
2002
20031
20041
20051
110,613
111,811
112,985
114,733
115,647
116,931
66,303
66,848
67,363
68,272
68,421
69,288
59.9
59.8
59.6
59.5
59.2
59.3
63,586
63,737
63,582
64,404
64,728
65,757
57.5
57.0
56.3
56.1
56.0
56.2
2,717
3,111
3,781
3,868
3,694
3,531
4.1
4.7
5.6
5.7
5.4
5.1
Monthly data, seasonally adjusted 2
2005:
January....
February ..
March
April
May
June
July
August
September
October....
November
December
116,348
116,443
116,534
116,629
116,736
116,849
116,963
117,089
117,218
117,343
117,459
117,562
2006:
January 3 .
117,617
68,779
68,781
68,599
68,982
69,155
69,178
69,419
69,438
69,750
69,794
69,789
69,722
59.1
59.1
58.9
59.1
59.2
59.2
59.4
59.3
59.5
59.5
59.4
59.3
65,254
65,209
65,165
65,423
65,573
65,652
65,853
66,022
66,178
66,229
66,200
66,250
56.1
56.0
55.9
56.1
56.2
56.2
56.3
56.4
56.5
56.4
56.4
56.4
3,525
3,572
3,434
3,559
3,582
3,526
3,566
3,416
3,572
3,565
3,588
3,473
5.1
5.2
5.0
5.2
5.2
5.1
5.1
4.9
5.1
5.1
5.1
5.0
59.2
66,217
56.3
3,372
4.8
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 2006, data are not strictly comparable with data for 2005
and earlier years because of the revisions in the population controls used in the
household survey.
23
H O U S E H O L D DATA
S E A S O N A L L Y ADJUSTED
A - 3 . Employment status of the civilian ncminstitutional population by sex and age, seasonally adjusted
(Numbers in thousands)
Employment status,
sex, and age
2005
Jan.
Feb.
Mar.
Apr.
May
June
2006
July
Aug.
Sept.
Oct.
Nov.
Dec.
TOTAL
Civilian noninstitutional population1
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
Persons who currently want a job
224,837 |225,041 |225,236 |225,441 225,670 225,911 226,153 226,421 226,693 |226,959 (227,204 (227,425
147,956 148,271 148,217 148,839 149,201 149,243 ]149,605 |149,792 150,083 150,043 150,183 150,153
66.2
66.2
66.0
66.2
66.1
66.1
66.0
65.8
65.8
66.1
66.1
65.9
140,234 140,285 140,601 141,196 141,571 141,750 142,111 142,425 142,435 142,625 142,611 142,779
62.8
62.8
62.8
62.9
62.8
62.6
62.4
62.4
62.8
62.7
62.7
62.3
7,375
7,648
7,572
7,367
7,494
7,644
7,616
7,723
7,418
7,493
7,629
7,986
4.9
5.1
5.0
4.9
5.0
5.1
5.2
4.9
5.0
5.1
5.1
5.4
76,881 76,770 77,019 76,601 76,469 76,668 76,548 76,629 76,610 76,916 77,021 77,271
4,829
4,997
5,167
4,945
4,994
4,887
5,103
4,973
4,985
5,265
4,717
4,974
Men, 16 years and over
Civilian noninstitutional population 1
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
108,489 108,598 108,703 |108,812 108,934 109,062 1109,190 109,332 109,475 109,616 109,745 109,863
79,177 79,490 79,618 79,858 80,046 80,065 80,185 80,355 80,333 80,249 80,394 80,431
73.2
73.4
73.2
73.3
73.4
73.5
73.4
73.2
73.0
73.4
73.2
73.5
74,980 75,075 75,436 75,773 75,998 76,099 76,258 76,404 76,257 76,396 76,410 76,529
69.7
69.7
69.4
69.7
69.9
69.8
69.6
69.1
69.1
69.6
69.8
69.8
3,902
4,076
3,853
3,951
3,928
4,085
4,181
4,415
4,197
3,984
3,966
4,047
4.9
5.1
4.9
4.9
5.3
5.6
5.3
4.8
5.0
5.0
5.1
5.1
29,311 29,108 29,085 28,954 28,888 28,997 29,005 28,977 29,142 29,367 29,351 29,432
Men, 20 years and over
Civilian noninstitutional population 1
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
(100,219 100,321 100,419 |100,520 100,634 100,754 100,874 1101,004 101,136 101,265 101,383 101,489
75,650 75,929 75,965 76,202 76,445 76,471 76,619 76,787 76,792 76,780 76,722 76,786
75.6
75.7
75.7
75.7
75.9
76.0
76.0
75.9
76.0
75.8
75.5
75.8
72,092 72,246 72,513 72,855 73,108 73,178 73,345 73,479 73,331 73,500 73,441 73,468
72.7
72.5
72.2
72.0
71.9
72.4
72.4
72.5
72.6
72.7
72.6
72.6
3,307
3,347
3,453
3,683
3,282
3,461
3,281
3,274
3,294
3,337
3,558
3,318
4.4
4.5
4.9
4.5
4.3
4.3
4.3
4.4
4.7
4.3
4.3
4.3
24,569 24,392 24,453 24,318 24,190 24,282 24,255 24,218 24,344 24,485 24,660 24,703
Women, 16 years and over
Civilian noninstitutional population 1
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
116,348 116,443 116,534 116,629 116,736 116,849 116,963 117,089
68,779 68,781 68,599 68,982 69,155 69,178 69,419 69,438
59.4
59.2
58.9
59.1
59.1
59.2
59.1
59.3
65,254 65,209 65,165 65,423 65,573 65,652 65,853 66,022
56.0
56.4
56.2
56.1
55.9
56.1
56.3
56.2
3,434
3,416
3,566
3,526
3,582
3,559
3,572
3,525
5.0
4.9
5.1
5.1
5.2
5.2
5.2
5.1
47,569 47,662 47,934 47,647 47,581 47,671 47,543 47,652
17,218 117,343 (117,459 117,562
69,750 69,794 69,789 69,722
59.3
59.4
59.5
59.5
66,178 66,229 66,200 66,250
56.4
56.4
56.5
56.4
3,565
3,572
3,588
3,473
5.1
5.1
5.1
5.0
47,468 47,549 47,670 47,840
Women, 20 years and over
Civilian noninstitutional population 1
Civilian labor force
Percent of population
Employed
Employment-population ratio....
Unemployed
Unemployment rate
Not in labor force
108,316 108,403 108,486 108,573 108,672 108,776 (108,880 108,996 109,114 109,228 109,332 109,425
65,260 65,284 65,080 65,461 65,528 65,582 65,813 65,778 66,129 66,175 66,223 66,215
60.6
60.4
60.3
60.0
60.3
60.6
60.3
60.3
60.2
60.2
60.5
60.6
62,236 62,220 62,129 62,426 62,515 62,552 62,744 62,901 63,074 63,162 63,170 63,249
57.5
57.3
57.6
57.7
57.8
57.5
57.5
57.4
57.5
57.8
57.8
57.8
2,952
3,036
3,013
3,064
3,024
2,877
3,055
3,070
3,030
3,013
2,966
3,053
4.5
4.7
4.7
4.6
4.6
4.6
4.4
4.6
4.6
4.5
4.6
4.6
43,056 43,119 43,406 43,112 43,144 43,193 43,067 43,219 42,985 43,053 43,109 43,209
Both sexes, 16 to 19 years
Civilian noninstitutional population 1
Civilian labor force
Percent of population
Employed
Employment-population ratio....
Unemployed
Unemployment rate
Not in labor force
16,302
7,046
43.2
5,906
36.2
1,140
16.2
9,256
16,317
7,058
43.3
5,818
35.7
1,240
17.6
9,259
16,332
7,172
43.9
5,960
36.5
1,212
16.9
9,160
16,347
7,176
43.9
5,915
36.2
1,261
17.6
9,171
16,364
7,228
44.2
5,948
36.4
1,280
17.7
9,136
16,381
7,189
43.9
6,020
36.8
1,169
16.3
9,192
16,399
7,172
43.7
6,022
36.7
1,150
16.0
9,226
1
The population figures are not adjusted for seasonal variation.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
24
16,421
7,228
44.0
6,045
36.8
1,183
16.4
9,193
16,443
7,163
43.6
6,030
36.7
1,133
15.8
9,281
16,465
7,088
43.0
5,964
36.2
1,124
15.9
9,377
16,489
7,238
43.9
6,000
36.4
1,238
17.1
9,251
16,511
7,152
43.3
6,061
36.7
1,091
15.2
9,359
H O U S E H O L D DATA
SEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstltutional population by race, Hispanic or Latino ethnicity, sex, and age,
seasonally adjusted
(Numbers in thousands)
Employment status, race,
sex, age, and Hispanic
or Latino ethnicity
2005
Jan.
Feb.
Mar.
Apr.
May
June
2006
July
Aug.
Sept.
Oct.
Nov.
Dec.
WHITE
Civilian noninstitutional population 1 . . . 183,640 183,767 183,888 184,015 184,167 184,328 184,490 184,669 184,851 185,028 185,187
Civilian labor force
121,490 121,669 |121,492 122,007 122,213 122,036 122,431 122,638 122,843 122,810 122,813
66.5
66.3
66.2
Percent of population
66.3
66.4
66.4
66.4
66.4
66.2
66.2
66.1
Employed
116,072 116,081 116,187 116,624 116,845 116,811 117,168 |117,446 117,354 [117,396 117,598
63.5
63.4
63.5
Employment-population ratio
63.4
63.6
63.4
63.5
63.4
63.2
63.2
63.2
5,224
5,489
5,215
Unemployed
5,383
5,193
5,415
5,263
5,368
5,419
5,588
5,306
4.2
Unemployment rate
4.4
4.2
4.5
4.4
4.3
4.3
4.4
4.5
4.4
4.6
62,008 62,218 62,374
Not in labor force
62,150 62,098 62,395 62,008 61,954 62,292 62,059 62,031
85,327
22,994
66.4
17,729
63.5
5,264
4.3
62,333
Men, 20 years and over
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
63,264
76.1
60,713
73.0
2,551
4.0
63,406
76.2
60,808
73.1
2,598
4.1
63,498
76.3
60,996
73.3
2,502
3.9
63,565
76.3
61,170
73.4
2,396
3.8
63,736
76.4
61,325
73.5
2,412
3.8
63,691
76.3
61,359
73.5
2,332
3.7
63,723
76.2
61,349
73.4
2,374
3.7
63,879
76.3
61,485
73.5
2,394
3.7
63,849
76.2
61,280
73.2
2,568
4.0
63,901
76.2
61,465
73.3
2,436
3.8
63,827
76.0
61,498
73.3
2,328
3.6
64,028
76.2
61,586
73.3
2,441
3.8
52,335
59.6
50,301
57.2
2,034
3.9
52,331
59.5
50,258
57.2
2,073
4.0
52,071
59.2
50,117
57.0
1,954
3.8
52,497
59.6
50,412
57.3
2,085
4.0
52,489
59.6
50,441
57.3
2,049
3.9
52,375
59.4
50,322
57.1
2,053
3.9
52,779
59.8
50,694
57.5
2,085
4.0
52,756
59.8
50,786
57.5
1,970
3.7
52,971
59.9
50,851
57.5
2,120
4.0
52,998
59.9
50,856
57.5
2,141
4.0
53,037
59.9
50,976
57.6
2,061
3.9
53,067
59.9
51,034
57.6
2,034
3.8
5,892
46.6
5,058
40.0
834
14.2
5,931
46.9
5,014
39.6
917
15.5
5,923
46.8
5,073
40.1
850
14.4
5,944
46.9
5,042
39.3
902
15.2
5,987
47.3
5,080
40.1
907
15.2
5,970
47.1
5,131
40.5
839
14.1
5,929
46.7
5,126
40.4
804
13.6
6,004
47.3
5,175
40.7
829
13.8
6,023
47.4
5,222
41.1
801
13.3
5,912
46.5
5,074
39.9
838
14.2
5,949
46.7
5,123
40.2
826
13.9
5,899
46.3
5,110
40.1
789
13.4
26,306
16,723
63.6
14,965
56.9
1,758
10.5
9,584
26,342
16,748
63.6
14,941
56.7
1,807
10.8
9,595
26,377
16,801
63.7
15,069
57.1
1,733
10.3
9,576
26,413
16,952
64.2
15,206
57.6
1,746
10.3
9,461
26,450
17,060
64.5
15,347
58.0
1,713
10.0
9,389
26,488
17,158
64.8
15,392
58.1
1,766
10.3
9,330
26,526
17,199
64.8
15,581
58.7
1,619
9.4
9,327
26,572
17,130
64.5
15,476
58.2
1,654
9.7
9,442
26,618
17,068
64.1
15,455
58.1
1,613
9.5
9,549
26,663
17,150
64.3
15,591
58.5
1,559
9.1
9,513
26,705
17,118
64.1
15,299
57.3
1,819
10.6
9,587
26,744
16,979
63.5
15,397
57.6
1,582
9.3
9,766
7,402
70.0
6,641
62.8
761
10.3
7,464
70.5
6,672
63.0
792
10.6
7,445
70.2
6,751
63.7
694
9.3
7,565
71.3
6,866
64.7
699
9.2
7,625
71.7
6,930
65.2
694
9.1
7,720
72.5
6,972
65.5
748
9.7
7,764
72.8
7,121
66.8
643
8.3
7,727
72.3
7,065
66.1
662
8.6
7,672
71.7
7,006
65.5
666
8.7
7,659
71.4
7,006
65.3
653
8.5
7,556
70.4
6,849
63.8
707
9.4
7,553
70.2
6,903
64.2
651
8.6
8,532
64.2
7,777
58.5
755
8.8
8,532
64.1
7,759
58.3
773
9.1
8,523
64.0
7,759
58.3
764
9.0
8,550
64.1
7,804
58.5
747
8.7
8,590
64.4
7,874
59.0
716
8.3
8,626
64.5
7,870
58.9
756
8.8
8,618
64.4
7,911
59.1
707
8.2
8,604
64.2
7,899
58.9
705
8.2
8,664
64.6
7,959
59.3
705
8.1
8,726
64.9
8,069
60.0
658
7.5
8,714
64.8
7,927
58.9
787
9.0
8,633
64.1
7,896
58.6
738
8.5
Women, 20 years and over
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Both sexes, 16 to 19 years
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
BLACK OR AFRICAN AMERICAN
Civilian noninstitutional population 1 ..,
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in laborforce
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.
25
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutional population by race, Hispanic or Latino ethnicity, sex, and age,
seasonally adjusted—Continued
(Numbers in thousands)
Employment status, race,
sex, age, and Hispanic
or Latino ethnicity
2006
2005
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
BLACK OR AFRICAN
AMERICAN-Continued
Both sexes, 16 to 19 years
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
788
32.2
546
22.3
242
30.7
752
30.6
510
20.8
242
32.1
834
33.9
558
22.7
275
33.0
837
33.9
536
21.8
300
35.9
846
34.2
542
21.9
304
35.9
812
32.8
550
22.2
262
32.3
817
32.9
549
22.1
268
32.8
799
32.1
512
20.6
287
35.9
733
29.4
490
19.7
242
33.1
765
30.6
517
20.7
248
32.4
848
33.8
523
20.8
326
38.4
792
31.5
598
23.8
194
24.4
28,642
19,402
67.7
18,208
63.6
1,194
6.2
9,239
28,729
19,478
67.8
18,243
63.5
1,235
6.3
9,251
28,815
19,553
67.9
18,431
64.0
1,123
5.7
9,261
28,902
19,693
68.1
18,434
63.8
1,259
6.4
9,209
28,989
19,749
68.1
18,581
64.1
1,168
5.9
9,240
29,079
19,770
68.0
18,628
64.1
1,142
5.8
9,309
29,168
19,792
67.9
18,700
64.1
1,092
5.5
9,376
29,264
19,925
68.1
18,760
64.1
1,164
5.8
9,340
29,361
19,944
67.9
18,647
63.5
1,297
6.5
9,417
29,456
20,047
68.1
18,871
64.1
1,176
5.9
9,409
29,552
20,214
68.4
18,991
64.3
1,223
6.1
9,338
29,645
20,292
68.4
19,066
64.3
1,226
6.0
9,353
HISPANIC OR LATINO ETHNICITY
Civilian noninstitutional population 1 ..
Civilian labor force
Percent of population
Employed
Employment-population ratio
Unemployed
Unemployment rate
Not in labor force
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 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 2006,
data reflect revised population controls used in the household survey.
26
HOUSEHOLD DATA
SEASONALLY A D J U S T E D
A-5. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, seasonally adjusted
(Numbers in thousands)
2005
2006
Educational attainment
Jan.
Feb.
Mar. ; Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
Less than a high school diploma
12,597 12,618 12,546 12,563 12,823 12,876 13,140 12,818 12,729 12,502 12,529 12,388
45.4
45.4
45.9
45.3
45.2
47.4
45.5
45.4
45.6
44.8
44.9
45.2
11,638 11,626 11,569 11,525 11,833 11,985 12,136 11,839 11,690 11,611 11,602 11,465
42.1
42.1
42.4
41.9
41.5
43.8
42.4
42.0
41.4
41.9
41.2
41.7
927
923
891
979 1,039
891 1,004
992
959
990
977 1,037
7.4
7.5
7.1
8.2
7.6
7.6
6.9
7.9
7.6
7.7
8.3
7.8
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
37,870 38,166 38,264 38,237 38,253 38,135 37,979 38,123 38,324 38,467 38,372 38,173
63.4
63.3
62.4
63.1
63.8
63.9
63.5
63.7
63.2
63.0
62.8
62.9
36,086 36,317 36,468 36,561 36,522 36,349 36,139 36,343 36,404 36,627 36,547 36,417
60.4
60.5
60.3
60.2
60.8
60.7
60.6
60.4
60.2
59.8
59.8
59.5
1,784
1,849 1,796 1,676 1,731 1,785 1,840 1,781 1,921 1,840 1,825 1,756
4.8
4.7
4.7
4.7
4.6
4.8
5.0
4.8
4.5
4.4
4.7
4.8
Some college or associate degree
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
34,523 34,769 34,778 34,805 34,744 34,751 34,928 35,046 35,148 35,310 35,411 35,498
72.4
72.3
72.4
72.1
72.6
73.2
72.2
72.3
71.3
72.7
73.0
73.1
33,125 33,331 33,411 33,445 33,410 33,404 33,620 33,781 33,866 33,967 34,059 34,115
69.5
69.6
69.5
69.6
69.8
68.7
69.8
70.4
70.2
69.2
70.0
69.9
1,398
1,439 1,366 1,361 1,335 1,347 1,308 1,265 1,282 1,343 1,352 1,383
3.8
3.8
3.6
3.9
4.1
3.9
3.6
3.7
3.8
3.9
3.9
4.1
Bachelor's degree and higher 2
Civilian labor force
Participation rate
Employed
Employment-population ratio
Unemployed
Unemployment rate
40,764 40,502 40,430 40,832 40,967 41,012 41,333 41,431 41,558 41,616 41,600 42,097
78.1
78.1
77.7
78.1
77.6
77.8
78.0
78.1
77.6
77.8
78.4
77.5
39,777 39,528 39,450 39,836 39,978 40,070 40,343 40,579 40,588 40,670 40,665 41,187
76.2
76.3
75.9
75.9
76.3
76.5
75.9
75.7
76.1
76.0
76.7
75.6
987
936
946
852
941
980
974
970
991
996
910
988
2.4
2.2
2.1
2.3
2.4
2.4
2.3
2.3
2.4
2.4
2.2
2.4
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 2006, data reflect revised population controls, used in the household survey.
2
27
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-6. Employed and unemployed full- and part-time workers by sex and age, seasonally adjusted
(Numbers in thousands)
Full- and part-time status,
sex, and age
2006
2005
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
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
115,939 115,470 115,767 116,592 116,845 117,194 117,329 117,625 (117,469 117,783 117,860 118,135
67,040 67,126 67,347 67,609 67,817 68,037 68,094 68,247 68,124 68,189 68,275 68,323
65,956 66,051 66,288 66,571 66,816 66,948 67,035 67,225 67,034 67,142 67,252 67,259
48,399 48,441 48,979 49,090 49,133 49,204 49,308 49,464 49,611 49,588 49,775
48,871
48,055 47,655 47,679 48,241 48,359 48,379 48,449 48,540 48,642 48,848 48,872 49,084
1,736
1,764
1,845
1,860
1,792
1,928
1,801
1,793
1,793
1,780
1,670
1,867
24,254
7,911
6,118
16,302
14,109
4,026
24,623
8,007
6,182
16,661
14,390
4,051
24,727
8,138
6,211
16,619
14,350
4,166
24,577
8,150
6,269
16,426
14,178
4,130
24,665
8,106
6,267
16,530
14,183
4,215
24,521
8,020
6,222
16,469
14,158
4,141
24,840
8,127
6,273
16,742
14,366
4,202
24,880
8,110
6,263
16,732
14,370
4,247
25,009
8,165
6,276
16,852
14,499
4,234
24,898
8,232
6,363
16,670
14,365
4,171
24,814
8,167
6,273
16,643
14,347
4,195
24,743
8,234
6,248
16,541
14,266
4,229
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
6,397
3,635
3,313
2,765
2,520
564
6,539
3,719
3,364
2,820
2,553
622
6,181
3,531
3,184
2,637
2,470
527
6,297
3,484
3,104
2,795
2,551
642
6,175
3,403
3,085
2,761
2,505
585
6,089
3,346
3,037
2,726
2,512
540
6,065
3,342
3,028
2,732
2,507
530
6,064
3,351
3,022
2,716
2,453
589
6,239
3,503
3,195
2,742
2,499
545
6,023
3,280
2,981
2,751
2,510
532
6,018
3,300
2,957
2,739
2,530
531
5,920
3,325
3,033
2,595
2,396
491
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
1,336
561
249
772
516
571
1,425
649
291
765
513
621
1,408
653
270
754
474
664
1,375
611
254
775
482
639
1,469
651
273
844
506
1,384
625
256
763
497
630
1,459
612
251
851
583
625
1,348
622
286
723
447
615
1,401
582
270
818
538
593
1,419
588
295
833
513
611
1,514
645
293
841
533
687
1,454
598
295
872
554
605
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
5.2
5.1
4.8
5.4
5.0
22.6
5.4
5.2
4.8
5.5
5.1
26.1
5.1
5.0
4.6
5.2
4.9
22.7
5.1
4.9
4.5
5.4
5.0
26.5
5.0
4.8
4.4
5.3
4.9
25.9
4.9
4.7
4.3
5.3
4.9
22.4
4.9
4.7
4.3
5.3
4.9
22.3
4.9
4.7
4.3
5.2
4.8
24.0
5.0
4.9
4.5
5.3
4.9
23.3
4.9
4.6
4.3
5.3
4.9
22.9
4.9
4.6
4.2
5.2
4.9
23.4
4.8
4.6
4.3
5.0
4.7
21.5
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
6.6
3.9
4.5
3.5
12.4
5.5
7.5
4.5
4.4
3.4
13.3
5.4
7.4
4.2
4.3
3.2
13.8
5.3
7.0
3.9
4.5
3.3
13.4
5.6
7.4
4.2
4.9
3.4
14.1
5.3
7.2
4.0
4.4
3.4
13.2
5.5
7.0
3.8
4.8
3.9
13.0
5.1
7.1
4.4
4.1
3.0
12.7
5.3
6.7
4.1
4.6
3.6
12.3
5.4
6.7
4.4
4.8
3.4
12.8
5.7
7.3
4.5
4.8
3.6
14.1
5.5
6.8
4.5
5.0
3.7
12.5
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
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 2006, data reflect revised population controls used In the household survey.
28
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-7. Employed persons by class of worker and part-time status, seasonally adjusted
(In thousands)
2005
2006
Category
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
2,138
1,197
915
2,161
1,215
915
2,199
1,222
961
2,253
1,212
1,033
2,216
1,229
2,321
1,307
1,001
2,332
1,305
2,157
1,196
2,126
1,161
2,154
1,187
2,130
918
2,140
1,118
978
936
928
1,187
921
138,076
128,438
108,173
107,372
20,312
9,545
138,111
128,312
108,061
107,249
20,097
9,707
138,416
128,567
108,230
107,433
20,326
9,738
138,926
128,980
108,512
(107,699
20,423
9,878
139,322
129,564
108,850
108,059
20,772
9,689
139,333
129,791
109,324
108,523
20,450
9,471
139,772
130,186
109,780
108,952
20,473
9,479
140,294
131,028
110,575
109,621
20,436
9,273
140,421
130,937
1110,688
[109,858
20,255
9,359
140,577
131,123
110,799
109,986
20,330
9,356
140,427
131,001
110,787
110,039
20,224
9,274
140,638
131,170
111,021
110,261
20,192
9,370
4,395
2,759
4,291
2,628
1,290
19,531
4,367
2,652
1,423
19,437
4,321
2,631
1,367
19,527
4,375
2,740
1,352
19,407
4,457
2,670
4,411
2,716
1,374
19,539
4,450
2,752
1,392
19,548
4,565
2,893
4,175
1,331
19,581
4,240
2,643
1,299
19,696
1,246
19,612
4,138
2,541
1,246
19,582
4,170
2,573
1,273
19,198
4,290
2,597
4,216
1,418
1,351
19,152
4,296
2,703
1,333
19,057
4,353
2,670
1,371
19,110
4,406
2,728
1,394
19,168
4,500
2,846
1,335
19,207
4,105
2,567
1,230
19,235
4,051
2,508
1,230
19,214
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
PERSONS AT WORK PART TIME
All industries:
Part time for economic reasons
Slack work or business conditions
Could only find part-time work
Part time for noneconomic reasons
Nonagricultural industries:
Part time for economic reasons
Slack work or business conditions
Could only find part-time work
Part time for noneconomic reasons
1
1,332
19,088
4,303
2,686
1,318
18,738
19,130
2,555
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.
1,406
19,214
4,379
2,615
1,405
18,915
4,161
2,592
1,284
19,255
2,595
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 2006, data reflect revised population controls used in the household
survey.
29
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-8. Selected employment indicators, seasonally adjusted
(In thousands)
2005
2006
Characteristic
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
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
140,234 140,285 140,601 141,196 141,571 141,750 142,111 142,425 142,435 [142,625 142,611 142,779
5,960
5,948
6,020
6,022
6,045
6,030
5,964
6,061
6,000
5,906
5,818
5,915
2,341
2,257
2,247
2,297
2,290
2,334
2,269
2,286
2,224
2,300
2,290
2,285
3,636
3,665
3,667
3,685
3,726
3,771
3,773
3,739
3,673
3,713
3,694
3,535
134,328 134,466 134,641 135,280 135,623 135,730 136,088 136,380 [136,405 136,661 136,610 136,717
13,706 13,569 13,704 13,667 13,751 13,835 13,899 13,790 13,841
13,945 13,931 13,840
[120,691 |120,828 120,890 121,579 121,826 |121,843 122,150 122,709 122,601 122,719 122,731 122,906
98,061 98,002 98,000 98,288 98,490 98,327 98,548 98,984 98,852 98,834 98,849 98,934
30,667 30,547 30,406 30,549 30,695 30,528 30,639 30,751 30,714 30,864 30,920 30,866
34,599 34,569 34,613 34,609 34,615 34,635 34,699 34,689 34,821 34,601 34,513 34,581
32,795 32,886 32,981 33,130 33,180 33,165 33,211 33,543 33,317 33,369 33,416 33,486
22,629 22,826 22,889 23,291 23,335 23,516 23,602 23,725 23,748 23,885 23,883 23,972
74,980
75,075
75,436
75,773
75,998
76,099
76,258
76,404
76,257
76,396
76,410
76,529
2,888
1,067
1,816
72,092
7,188
64,930
52,861
16,905
18,773
17,183
12,069
2,829
1,060
1,783
72,246
7,147
65,075
52,858
16,893
18,745
17,220
12,217
2,924
1,134
1,829
72,513
7,209
65,275
52,944
16,802
18,805
17,338
12,331
2,918
1,108
1,802
72,855
7,188
65,639
53,123
16,914
18,774
17,435
12,516
2,890
1,065
1,822
73,108
7,292
65,763
53,177
16,988
18,768
17,421
12,586
2,921
1,066
1,858
73,178
7,365
65,824
53,143
16,943
18,800
17,400
12,681
2,913
1,018
1,897
73,345
7,396
65,927
53,214
17,005
18,814
17,395
12,713
2,924
1,068
1,877
73,479
7,298
66,271
53,533
17,135
18,780
17,619
12,738
2,926
1,053
1,865
73,331
7,247
66,035
53,324
17,033
18,808
17,483
12,711
2,896
1,043
1,848
73,500
7,310
66,192
53,429
17,107
18,800
17,522
12,763
2,970
1,062
1,890
73,441
7,330
66,142
53,419
17,103
18,745
17,571
12,723
3,061
1,090
1,951
73,468
7,356
66,157
53,375
17,080
18,739
17,556
12,782
65,254
65,209
65,165
65,423
65,573
65,652
65,853
66,022
66,178
66,229
66,200
66,250
3,018
1,202
1,820
62,236
6,519
55,761
45,200
13,762
15,826
15,612
10,561
2,989
1,226
1,753
62,220
6,422
55,753
45,144
13,654
15,824
15,666
10,609
3,036
1,207
1,836
62,129
6,495
55,614
45,056
13,605
15,808
15,643
10,558
2,997
1,116
1,865
62,426
6,479
55,940
45,166
13,635
15,835
15,695
10,774
3,058
1,192
1,864
62,515
6,459
56,063
45,313
13,707
15,847
15,759
10,750
3,099
1,234
1,868
62,552
6,470
56,018
45,183
13,584
15,834
15,765
10,835
3,110
1,229
1,874
62,744
6,503
56,223
45,334
13,634
15,885
15,816
10,889
3,121
1,229
1,896
62,901
6,492
56,437
45,450
13,617
15,910
15,924
10,987
3,104
1,237
1,874
63,074
6,594
56,566
45,528
13,680
16,013
15,835
11,037
3,068
1,247
1,825
63,162
6,635
56,527
45,405
13,757
15,801
15,847
11,122
3,031
1,223
1,804
63,170
6,601
56,589
45,430
13,817
15,768
15,845
11,159
3,000
1,245
1,762
63,249
6,484
56,749
45,559
13,786
15,843
15,930
11,190
45,195
34,696
45,356
34,602
45,408
34,310
45,524
34,595
45,723
34,771
45,387
34,676
45,489
34,956
45,666
34,960
45,457
34,943
45,634
34,868
45,480
34,910
45,469
34,948
7,446
5.3
7,539
5.4
7,552
5.4
7,547
5.3
7,457
5.3
7,701
5.4
7,581
5.3
7,497
5.3
7,616
5.3
7,564
5.3
7,545
5.3
7,473
5.2
MARITAL STATUS
Married men, spouse present .....
Married women, spouse present
MULTIPLE JOBHOLDERS
Total multiple Jobholders
Percent of total employed
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 2006, data reflect revised population controls used in the household survey.
30
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-9. Unemployed persons by age, sex, and marital status, seasonally adjusted
(In thousands)
2006
2005
Age, sex, and marital status
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
7,723
7,986
7,616
7,644
7,629
7,493
7,494
7,367
7,648
7,418
7,572
7,375
1,140
542
611
6,582
1,433
5,155
4,323
1,639
1,477
1,207
826
1,240
587
661
6,746
1,497
5,262
4,405
1,680
1,513
1,212
847
1,212
557
647
6,404
1,343
5,053
4,267
1,724
1,375
1,168
824
1,261
544
745
6,383
1,324
5,044
4,182
1,686
1,388
1,109
839
1,280
555
707
6,350
1,319
5,027
4,264
1,654
1,405
1,205
779
1,169
506
661
6,324
1,324
4,988
4,205
1,673
1,370
1,162
748
1,150
511
633
6,344
1,252
5,110
4,283
1,670
1,357
1,256
851
1,183
524
665
6,184
1,332
4,861
4,082
1,610
1,348
1,123
790
1,133
531
602
6,516
1,314
5,187
4,309
1,741
1,343
1,225
883
1,124
526
608
6,294
1,296
5,011
4,199
1,561
1,396
1,242
794
1,238
624
613
6,335
1,274
5,042
4,255
1,634
1,407
1,214
774
1,091
507
580
6,284
1,283
5,010
4,227
1,625
1,381
1,221
808
4,197
4,415
4,181
4,085
4,047
3,966
3,928
3,951
4,076
3,853
3,984
3,902
639
305
345
3,558
818
2,731
2,246
840
749
658
485
732
348
386
3,683
898
2,791
2,322
897
788
638
729
332
391
3,453
761
2,726
2,273
908
744
621
453
738
311
445
3,347
753
2,572
2,119
885
684
549
453
711
305
402
3,337
735
2,606
2,219
863
737
619
386
673
289
387
3,294
760
2,534
2,122
820
694
608
413
654
303
349
3,274
711
2,574
2,151
820
659
671
423
644
291
362
3,307
812
2,505
2,095
794
705
595
411
615
285
333
3,461
789
2,654
2,223
905
676
641
432
573
231
339
3,281
758
2,515
2,099
790
676
633
416
702
327
350
3,282
737
2,522
2,112
798
707
608
410
584
269
312
3,318
743
2,583
2,154
785
725
643
430
3,525
3,572
3,434
3,559
3,582
3,526
3,566
3,416
3,572
3,565
3,588
3,473
501
237
267
3,024
615
2,424
2,076
799
728
549
508
238
275
3,064
599
2,471
2,083
783
725
574
483
225
256
2,952
581
2,327
1,994
815
631
548
523
233
300
3,036
571
2,472
2,064
800
704
560
569
250
305
3,013
584
2,421
2,045
791
669
585
496
217
274
3,030
565
2,454
2,083
853
676
554
497
209
284
3,070
541
2,536
2,132
850
697
585
539
233
303
2,877
520
2,356
1,987
816
643
528
518
246
270
3,055
524
2,533
2,086
836
667
584
552
295
269
3,013
538
2,496
2,100
771
719
609
535
296
263
3,053
537
2,519
2,142
837
699
606
507
238
268
2,966
540
2,427
2,073
840
656
577
1,405
1,160
1,375
1,145
1,359
1,057
1,228
1,177
1,260
1,144
1,218
1,195
1,248
1,230
1,353
1,160
1,280
1,218
1,227
1,181
1,210
1,187
1,219
1,151
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
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 2006, data reflect revised population controls used in the household survey.
31
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-10. Unemployment rates by age, sex, and marital status, seasonally adjusted
(Percent)
2005
2006
Age, sex, and marital status
Jan.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
Feb.
Mar.
5.2
5.4
5.1
5.1
5.1
5.0
5£
4.9
5.1
4.9
5.0
4.9
16.2
19.3
14.4
4.7
9.5
4.1
4.2
5.1
4.1
3.5
3.5
17.6
20.4
15.8
4.8
9.9
4.2
4.3
5.2
4.2
3.6
3.6
16.9
19.2
15.0
4.5
8.9
4.0
4.2
5.4
3.8
3.4
3.5
17.6
19.7
16.9
4.5
8.8
4.0
4.1
5.2
3.9
3.2
3.5
17.7
19.7
16.1
4.5
8.8
4.0
4.1
5.1
3.9
3.5
3.2
16.3
18.0
15.1
4.5
8.7
3.9
4.1
5.2
3.8
3.4
3.1
16.0
18.5
14.4
4.5
8.3
4.0
4.2
5.2
3.8
3.6
3.5
16.4
18.6
15.0
4.3
8.8
3.8
4.0
5.0
3.7
3.2
3.2
15.8
18.8
13.9
4.6
8.7
4.1
4.2
5.4
3.7
3.5
3.6
15.9
18.7
14.2
4.4
8.5
3.9
4.1
4.8
3.9
3.6
3.2
17.1
21.4
14.2
4.4
8.4
3.9
4.1
5.0
3.9
3.5
3.1
15.2
17.8
13.5
4.4
8.5
3.9
4.1
5.0
3.8
3.5
3.3
5.3
5.6
5.3
5.1
5.1
5.0
4.9
4.9
5.1
4.8
5.0
4.9
18.1
22.2
15.9
4.7
10.2
4.0
4.1
4.7
3.8
3.7
3.9
20.6
24.7
17.8
4.9
11.2
4.1
4.2
5.0
4.0
3.6
3.7
20.0
22.7
17.6
4.5
9.6
4.0
4.1
5.1
3.8
3.5
3.5
20.2
21.9
19.8
4.4
9.5
3.8
3.8
5.0
3.5
3.1
3.5
19.7
22.3
18.1
4.4
9.2
3.8
4.0
4.8
3.8
3.4
3.0
18.7
21.4
17.2
4.3
9.3
3.7
3.8
4.6
3.6
3.4
3.2
18.3
22.9
15.5
4.3
8.8
3.8
3.9
4.6
3.4
3.7
3.2
18.0
21.4
16.2
4.3
10.0
3.6
3.8
4.4
3.6
3.3
3.1
17.4
21.3
15.1
4.5
9.8
3.9
4.0
5.0
3.5
3.5
3.3
16.5
18.1
15.5
4.3
9.4
3.7
3.8
4.4
3.5
3.5
3.2
19.1
23.6
15.6
4.3
9.1
3.7
3.8
4.5
3.6
3.3
3.1
16.0
19.8
13.8
4.3
9.2
3.8
3.9
4.4
3.7
3.5
3.3
5.1
5.2
5.0
5.2
5.2
5.1
5.1
4.9
5.1
5.1
5.1
5.0
14.2
16.5
12.8
4.6
8.6
4.2
4.4
5.5
4.4
3.4
14.5
16.3
13.6
4.7
8.5
4.2
4.4
5.4
4.4
3.5
13.7
15.7
12.2
4.5
8.2
4.0
4.2
5.7
3.8
3.4
14.9
17.3
13.8
4.6
8.1
4.2
4.4
5.5
4.3
3.4
15.7
17.3
14.1
4.6
8.3
4.1
4.3
5.5
4.0
3.6
13.8
14.9
12.8
4.6
8.0
4.2
4.4
5.9
4.1
3.4
13.8
14.5
13.2
4.7
7.7
4.3
4.5
5.9
4.2
3.6
14.7
15.9
13.8
4.4
7.4
4.0
4.2
5.7
3.9
3.2
14.3
16.6
12.6
4.6
7.4
4.3
4.4
5.8
4.0
3.6
15.2
19.1
12.8
4.6
7.5
4.2
4.4
5.3
4.4
3.7
15.0
19.5
12.7
4.6
7.5
4.3
4.5
5.7
4.2
3.7
14.4
16.1
13.2
4.5
7.7
4.1
4.4
5.7
4.0
3.5
3.0
3.2
2.9
3.2
2.9
3.0
2.6
3.3
2.7
3.2
2.6
3.3
2.7
3.4
2.9
3.2
2.7
3.4
2.6
3.3
2.6
3.3
2.6
3!2
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
MARITAL STATUS
Married men, spouse present....
Married women, spouse present
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
32
HOUSEHOLD DATA
SEASONALLY ADJUSTED
A-11. Unemployed persons by reason for unemployment, seasonally adjusted
(Numbers in thousands)
2005
2006
Reason
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
Jan.
3,982
962
3,020
815
2,336
621
3,886
960
2,927
950
2,406
741
3,759
955
2,804
856
2,368
706
3,677
841
2,836
894
2,348
735
3,664
898
2,766
952
2,365
3,666
974
2,692
838
2,240
654
3,626
954
2,673
825
2,411
627
3,474
874
2,600
839
2,455
633
3,697
970
2,726
874
2,423
3,508
944
2,564
889
2,349
654
3,455
899
2,556
900
2,538
679
3,486
935
2,552
841
2,430
644
3,336
873
2,462
839
2,314
622
100.0
51.4
12.4
39.0
10.5
30.1
8.0
100.0
48.7
12.0
36.7
11.9
30.1
9.3
100.0
48.9
12.4
36.5
11.1
30.8
9.2
100.0
48.0
11.0
37.1
11.7
30.7
9.6
100.0
47.7
11.7
36.0
12.4
30.8
9.1
100.0
49.6
13.2
36.4
11.3
30.3
8.8
100.0
48.4
12.7
35.7
11.0
32.2
8.4
100.0
46.9
11.8
35.1
11.3
33.2
8.6
100.0
48.5
12.7
35.8
11.5
31.8
8.2
100.0
47.4
12.8
34.7
12.0
31.7
8.8
100.0
45.6
11.9
33.8
11.9
33.5
9.0
100.0
47.1
12.6
34.5
11.4
32.8
8.7
100.0
46.9
12.3
34.6
11.8
32.5
8.7
2.7
.6
1.6
.4
2.6
.6
1.6
.5
2.5
.6
1.6
.5
2.5
.6
1.6
.5
2.5
.6
1.6
.5
2.5
.6
1.5
.4
2.4
.6
1.6
.4
2.3
.6
1.6
.4
2.5
.6
1.6
.4
2.3
.6
1.6
.4
2.3
.6
1.7
.5
2.3
.6
1.6
.4
2.2
.6
1.5
.4
NUMBER OF UNEMPLOYED
Job losers and persons who completed temporary jobs
On temporary layoff
Not on temporary layoff
Job leavers
Reentrants
New entrants
PERCENT DISTRIBUTION
Total unemployed
i
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
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
A-12. Unemployed persons by duration of unemployment, seasonally adjusted
(Numbers in thousands)
2005
2006
Duration
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
Jan.
2,597
2,348
2,821
1,191
1,630
2,743
2,320
2,862
1,236
1,626
2,498
2,318
2,793
1,157
1,636
2,670
2,271
2,688
1,091
1,597
2,694
2,27Q
2,650
1,122
1,528
2,661
2,339
2,388
1,053
1,335
2,616
2,452
2,483
1,069
1,414
2,544
2,268
2,672
1,229
1,444
2,751
2,253
2,584
1,120
1,464
2,708
2,263
2,477
1,045
1,432
2,779
2,268
2,492
1,108
1,383
2,764
2,240
2,417
1,068
1,350
2,556
2,263
2,241
1,090
1,151
19.2
9.3
19.1
9.2
19.3
9.2
19.6
8.9
18.6
9.1
17.2
9.1
17.7
8.9
18.9
9.4
18.2
8.5
18.0
8.6
17.6
8.5
17.3
8.5
16.8
8.4
100.0
33.4
30.2
36.3
15.3
21.0
100.0
34.6
29.3
36.1
15.6
20.5
100.0
32.8
30.5
36.7
15.2
21.5
100.0
35.0
29.8
35.2
14.3
20.9
100.0
35.4
29.8
34.8
14.7
20.1
100.0
36.0
31.7
32.3
14.3
18.1
100.0
34.6
32.5
32.9
14.2
18.7
100.0
34.0
30.3
35.7
16.4
19.3
100.0
36.3
29.7
34.1
14.8
19.3
100.0
36.4
30.4
33.3
14.0
19.2
100.0
36.9
30.1
33.0
14.7
18.3
100.0
37.2
30.2
32.6
14.4
18.2
100.0
36.2
32.1
31.7
15.4
16.3
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 unemployed
Less than 5 weeks
5 to 14 weeks
15 weeks and over
15 to 26 weeks
27 weeks and over
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
33
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
(Numbers in thousands)
January 2006
Civilian labor force
Age, sex, and race
Civilian
noninstitutional
population
Unemployed
Employed
Total
Percent
of
population
Total
Percent
of
population
Number
Percent
of
labor
force
TOTAL
16 years and over
16to 19years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
227,553
16,515
8,971
7,544
20,246
124,579
39,090
19,801
19,290
42,869
20,582
22,287
42,619
22,474
20,145
30,851
17,716
13,135
35,362
10,114
8,355
16,893
149,090
6,648
2,491
4,157
14,720
102,887
32,204
16,250
15,955
35,842
17,242
18,599
34,841
18,763
16,077
19,494
12,747
6,747
5,341
2,856
1,379
1,106
65.5
40.3
27.8
55.1
72.7
82.6
82.4
82.1
82.7
83.6
83.8
83.5
81.7
83.5
79.8
63.2
72.0
51.4
15.1
28.2
16.5
6.5
141,481
5,620
2,099
3,522
13,382
98,514
30,541
15,302
15,239
34,388
16,487
17,901
33,585
18,012
15,573
18,804
12,283
6,521
5,161
2,723
1,354
1,085
62.2
34.0
23.4
46.7
66.1
79.1
78.1
77.3
79.0
80.2
80.1
80.3
78.8
80.1
77.3
61.0
69.3
49.6
14.6
26.9
16.2
6.4
7,608
1,028
181
133
26
22
5.1
15.5
15.7
15.3
9.1
4.2
5.2
5.8
4.5
4.1
4.4
3.8
3.6
4.0
3.1
3.5
3.6
3.4
3.4
4.7
1.9
2.0
109,936
8,376
4,550
3,826
10,177
61,456
19,480
9,911
9,569
21,128
10,165
10,963
20,847
11,025
9,822
14,841
8,561
6,280
15,086
4,724
3,736
6,627
79,814
3,302
1,134
2,167
7,871
55,331
17,752
8,897
8,854
19,345
9,441
9,904
18,234
9,900
8,333
10,294
6,695
3,599
3,017
1,621
744
651
72.6
39.4
24.9
56.6
77.3
90.0
91.1
89.8
92.5
91.6
92.9
90.3
87.5
89.8
84.8
69.4
78.2
57.3
20.0
34.3
19.9
9.8
75,605
2,741
942
1,799
7,057
52,985
16,855
8,377
8,478
18,616
9,040
9,576
17,514
9,468
8,046
9,924
6,455
3,469
2,897
1,539
727
631
68.8
32.7
20.7
47.0
69.3
86.2
86.5
84.5
88.6
88.1
88.9
87.3
84.0
85.9
81.9
66.9
75.4
55.2
19.2
32.6
19.5
9.5
4,209
561
192
369
813
2,345
896
520
376
730
401
328
720
432
287
370
240
130
119
82
17
20
5.3
17.0
16.9
17.0
10.3
4.2
5.0
5.8
4.2
3.8
4.3
3.3
3.9
4.4
3.4
3.6
3.6
3.6
4.0
5.1
2.3
3.1
117,617
8,139
4,421
3,718
10,068
63,123
19,610
9,890
9,720
21,741
10,417
11,324
21,772
11,449
10,323
16,011
9,155
6,856
20,276
5,390
4,619
10,266
69,276
3,346
1,357
1,990
6,849
47,556
14,453
7,352
7,101
16,496
7,801
8,695
16,607
8,863
7,744
9,199
6,051
3,148
2,325
1,235
635
455
58.9
41.1
30.7
53.5
68.0
75.3
73.7
74.3
73.0
75.9
74.9
76.8
76.3
77.4
75.0
57.5
66.1
45.9
11.5
22.9
13.7
4.4
65,876
2,879
1,157
1,723
6,325
45,529
13,685
6,925
6,761
15,772
7,447
8,325
16,071
8,544
7,527
8,880
5,828
3,052
2,263
1,183
627
454
56.0
35.4
26.2
46.3
62.8
72.1
69.8
70.0
69.6
72.5
71.5
73.5
73.8
74.6
72.9
55.5
63.7
44.5
11.2
21.9
13.6
4.4
3,399
467
200
267
525
2,027
767
427
340
724
354
370
536
4.9
13.9
14.8
13.4
7.7
4.3
5.3
5.8
4.8
4.4
4.5
4.3
3.2
3.6
2.8
3.5
3.7
3.1
2.6
4.2
1.3
.3
392
635
1,338
4,373
1,664
948
716
1,454
755
698
1,256
751
504
690
463
226
Men
16 years and over
16to 19years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
Women
16 years and over
16to 19 years
16to17years
18to19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
See footnotes at end of table.
34
319
217
320
223
96
61
52
8
1
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13.
Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
January 2006
Civilian labor force
Age, sex, and race
Civilian
noninstitutional
population
Employed
Total
185,436
12,752
6,898
5,854
15,842
99,955
30,580
15,499
15,081
34,376
16,382
17,994
34,999
18,350
16,648
26,066
14,891
11,175
30,821
8,641
7,206
14,973
122,351
5,561
2,139
3,422
11,885
83,393
25,482
12,928
12,553
28,905
13,799
15,106
29,006
15,526
13,480
16,754
10,893
5,861
4,758
2,515
1,231
1,012
66.0
43.6
31.0
58.5
75.0
83.4
83.3
83.4
83.2
84.1
84.2
83.9
82.9
84.6
81.0
64.3
73.2
52.4
15.4
29.1
17.1
116,745
4,798
1,831
2,967
10,977
80,169
24,256
12,209
12,046
27,830
13,233
14,597
28,084
14,969
13,115
16,192
10,517
5,676
4,609
2,411
1,208
6.8
990
90,569
6,502
3,510
2,992
8,048
50,076
15,514
7,892
7,623
17,213
8,230
8,983
17,349
9,124
8,225
12,681
7,298
5,383
13,261
4,067
3,271
5,923
66,699
2,809
73.6
43.2
28.4
60.6
80.1
91.4
92.8
91.9
93.8
92.7
93.9
91.6
88.9
91.1
86.5
70.6
79.5
58.6
20.5
35.4
20.5
10.2
63,473
2,373
Percent
of
population
Total
Unemployed
Number
Percent
of
labor
force
63.0
37.6
26.5
50.7
69.3
80.2
79.3
78.8
79.9
81.0
80.8
81.1
80.2
81.6
78.8
62.1
70.6
50.8
15.0
27.9
16.8
6.6
5,605
763
308
455
908
3,223
1,226
719
507
1,075
566
509
922
557
365
561
376
185
149
104
23
22
4.6
13.7
14.4
13.3
7.6
3.9
4.8
5.6
4.0
3.7
4.1
3.4
3.2
3.6
2.7
3.4
3.5
3.2
3.1
4.1
1.9
2.1
70.1
36.5
23.9
51.3
73.0
87.8
88.4
86.7
90.0
89.3
90.1
88.7
85.9
87.7
83.9
68.1
76.7
56.4
19.7
33.7
20.0
9.9
3,226
436
160
276
575
1,791
693
406
287
578
318
260
520
308
212
318
201
117
107
69
17
20
4.8
15.5
16.0
15.2
8.9
3.9
4.8
5.6
4.0
3.6
4.1
3.2
3.4
3.7
3.0
3.5
3.5
3.7
3.9
4.8
2.5
3.4
56.2
38.8
29.3
50.0
65.5
72.5
70.0
70.5
69.5
72.6
71.4
73.6
74.7
75.5
73.8
56.5
64.8
45.6
11.4
22.8
14.1
4.5
2,379
327
149
179
333
1,433
533
313
220
497
248
249
402
249
153
244
176
68
43
35
6
1
4.3
11.9
13.0
11.1
6.1
3.8
4.8
5.5
4.1
3.8
4.1
3.6
3.0
3.4
2.4
3.1
3.4
2.5
2.1
3.3
1.1
.3
Percent
of
population
WHITE
16 years and over
16to 19 years
16to 17 years
18to19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
Men
16 years and over
16 to 19 years
16to17years
18to19years
20 to 24 years
25 to 54 years
25 to 34 years
25 to 29 years
30 to 34 years
35 to 44 years
35 to 39 years
40 to 44 years
45to 54 years
45 to 49 years
50 to 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
997
1,812
6,446
45,777
14,400
7,249
7,151
15,956
7,731
8,225
15,422
8,308
7,114
8,951
5,798
3,152
2,715
1,438
. 671
606
837
1,536
5,872
43,987
13,707
6,843
6,864
15,378
7,413
7,965
14,902
8,000
6,902
8,633
5,598
3,035
2,609
1,369
. .
654
586
Women
16 years and over
16to 19years
16to 17 years
18to19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
94,867
6,250
3,388
2,862
7,794
49,879
15,066
7,608
7,458
17,163
8,151
9,012
17,650
9,227
8,423
13,385
7,593
5,792
17,560
4,574
3,936
9,050
55,652
2,752
1,142
1,610
5,439
37,615
11,082
5,679
5,403
12,950
6,068
6,882
13,584
7,218
6,366
7,803
5,094
2,708
2,043
1,077
58.7
44.0
33.7
56.2
69.8
75.4
73.6
74.7
72.4
75.5
74.4
76.4
77.0
78.2
75.6
58.3
67.1
46.8
11.6
23.6
14.2
560
406
4.5
See footnotes at end of table.
35
53,272
2,425
993
1,431
5,105
36,183
10,549
5,366
5,182
12,452
5,820
6,632
13,182
6,969
6,212
7,559
4,919
2,640
2,000
1,042
554
405
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
January 2006
Civilian labor force
Age, sex, and race
Unemployed
Employed
Civilian
noninstitutional
population
Total
26,788
2,523
1,363
1,160
2,840
15,381
5,101
2,649
2,452
5,307
2,556
2,751
4,972
2,700
2,273
3,074
1,785
1,289
2,970
907
800
1,262
16,764
703
212
492
1,828
12,257
4,087
2,081
2,006
4,382
2,113
2,269
3,788
2,111
1,677
1,655
1,119
536
320
167
94
58
62.6
27.9
15.5
42.4
64.4
79.7
80.1
78.6
81.8
82.6
82.7
82.5
76.2
78.2
73.8
53.8
62.7
41.6
10.8
18.4
11.8
4.6
15,231
499
151
348
1,504
11,367
3,737
1,905
1,833
4,097
1,988
2,109
3,533
1,957
1,576
1,561
1,053
507
300
149
92
58
56.9
19.8
11.1
30.0
53.0
73.9
73.3
71.9
74.7
77.2
77.8
76.7
71.0
72.5
69.3
50.8
59.0
39.4
10.1
16.5
11.5
4.6
1,532
204
61
143
324
890
350
177
173
285
125
160
255
154
101
95
12,020
1,245
679
566
1,348
6,910
2,297
1,208
1,089
2,370
1,135
1,235
2,243
1,221
1,022
1,361
783
578
1,156
410
310
436
7,769
296
75
221
902
5,642
1,897
977
919
1,993
978
1,014
1,753
1,005
748
778
516
262
151
83
47
21
64.6
23.8
11.0
39.1
66.9
81.7
82.6
80.9
84.4
84.1
86.2
82.1
78.2
82.3
73.2
57.2
65.9
45.3
13.0
20.2
15.0
4.9
7,051
211
55
156
726
5,225
1,737
888
849
1,883
929
954
1,606
910
695
747
493
254
142
74
47
21
58.7
16.9
8.1
27.5
53.9
75.6
75.6
73.5
78.0
79.4
81.8
77.2
71.6
74.6
68.1
54.9
63.0
43.9
12.3
18.1
15.0
718
85
20
14,768
1,279
684
594
1,492
8,471
2,804
1,441
1,364
2,937
1,420
1,516
2,730
1,479
1,251
1,713
1,002
710
1,814
497
490
827
8,995
407
137
271
926
6,615
2,191
1,104
1,087
2,390
1,135
1,255
2,035
1,105
929
877
603
274
169
85
48
37
60.9
31.9
20.0
45.5
62.0
78.1
78.1
76.6
79.7
81.4
79.9
82.8
74.5
74.7
74.3
51.2
60.1
38.6
9.3
17.0
9.8
4.4
8,180
289
96
193
778
6,142
2,001
1,017
984
2,215
1,059
1,156
1,927
1,046
880
814
560
254
158
75
46
37
55.4
22.6
14.0
32.4
52.1
72.5
71.3
70.6
72.1
75.4
74.6
76.2
70.6
70.8
70.4
47.5
55.9
35.7
8.7
15.1
9.3
4.4
Percent
of
population
Total
Percent
of
population
Number
Percent
of
labor
force
BLACK OR AFRICAN AMERICAN
16 years and over
16to 19 years
16to 17 years
18to 19years
20 to 24 years
25 to 54 years
25 to 34 years
25 to 29 years
30 to 34 years
35 to 44 years
35 to 39 years
40to 44 years
45 to 54 years
45 to 49 years
50 to 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
65
29
20
18
2
9.1
29.0
28.7
29.1
17.7
7.3
8.6
8.5
8.6
6.5
5.9
7.0
6.7
7.3
6.0
5.7
5.8
5.5
6.3
10.7
2.3
Men
16 years and over
16to 19years
16 to 17 years
18to 19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
,
65
176
417
160
90
70
110
49
61
147
95
52
32
23
8
8
8
9.2
28.8
26.4
29.6
19.5
7.4
8.4
9.2
7.6
5.5
5.0
6.0
8.4
9.4
7.0
4.1
4.5
3.2
5.5
10.0
4.9
Women
16 years and over
16to 19years
16to 17years
18to 19years
20to24years
25 to 54 years
25 to 34 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
50 to 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
!
!
|
!
|
|
See footnotes at end of table.
36
814
119
41
78
148
473
190
87
103
175
76
99
108
59
49
63
42
21
12
10
2
9.1
29.2
29.9
28.8
15.9
7.2
8.7
7.9
9.5
7.3
6.7
7.9
5.3
5.3
5.3
7.2
7.0
7.6
6.9
11.3
t1)
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
January 2006
Civilian labor force
Age, sex, and race
Civilian
noninstitutional
population
Unemployed
Employed
Total
Percent
of
population
Total
Percent
of
population
Percent
Number
of
labor
force
ASIAN
16 years and over
16to19years
16 to 17 years
18 to 19 years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
9,990
6,565
591
333
258
888
6,230
2,259
1,091
1,168
2,194
134
43
91
1,158
1,037
1,776
938
838
1,187
734
453
1,094
371
242
481
65.7
22.6
12.8
35.3
62.5
79.0
77.4
74.2
80.5
80.4
80.2
80.7
79.1
81.2
76.7
67.1
72.7
58.1
14.7
30.5
10.4
4.5
555
4,919
1,750
810
940
1,765
928
837
1,405
762
643
797
533
263
160
113
25
22
1
6,357
114
34
80
511
4,801
1,711
784
927
1,724
896
828
1,366
740
627
774
518
256
158
111
25
22
63.6
19.2
10.2
30.9
57.6
77.1
75.7
71.9
79.4
78.5
77.4
79.9
76.9
78.8
74.8
65.2
70.6
56.4
14.4
29.8
10.4
4.5
208
20
9
11
44
118
38
25
13
41
32
22
17
23
15
8
3
3
3.2
15.0
(1)
12.4
7.9
2.4
2.2
3.1
1.4
2.3
3.5
1.1
2.8
2.9
2.6
2.9
2.9
2.9
1.7
2.3
Data not shown where base is less than 75,000.
NOTE: Estimates for the above race groups do not sum to totals because data are not presented for all races. Beginning in January 2006, data reflect revised population controls
used in the household survey. Dash indicates no data or data that do not meet publication criteria.
37
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-14. Employment status of the Hispanic or Latino population by age and sex
(Numbers in thousands)
January 2006
Civilian labor force
Age and sex
Civilian
noninstitutional
population
Total
Total
Not
in
labor
force
Unemployed
Employed
Percent
of
population
Percent
of
population
Number
Percent
of
labor
force
HISPANIC OR LATINO ETHNICITY
16 years and over
16to 19 years
16to 17years
18 to 19 years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
29,622
2,733
1,475
1,258
3,608
18,515
7,767
4,002
3,765
6,409
3,395
3,015
4,339
2,457
1,882
2,443
1,429
1,014
2,321
795
590
937
20,272
1,020
335
685
2,709
14,698
6,151
3,162
2,989
5,157
2,757
2,400
3,390
1,969
1,420
1,499
997
502
347
196
88
62
68.4
37.3
22.7
54.5
75.1
79.4
79.2
79.0
79.4
80.5
81.2
79.6
78.1
80.2
75.5
61.3
69.8
49.5
14.9
24.7
15.0
6.6
18,969
825
287
538
2,499
13,884
5,745
2,910
2,834
4,910
2,623
2,288
3,229
1,884
1,345
1,438
951
487
323
179
83
62
64.0
30.2
19.5
42.8
69.3
75.0
74.0
72.7
75.3
76.6
77.3
75.9
74.4
76.7
71.5
58.9
66.5
48.0
13.9
22.5
14.0
6.6
1,303
195
48
147
210
813
406
251
155
247
134
112
160
85
75
61
46
15
24
18
6
6.4
19.1
14.2
21.5
7.8
5.5
6.6
8.0
5.2
4.8
4.9
4.7
4.7
4.3
5.3
4.1
4.6
2.9
6.8
9.0
6.6
~*
"~
15,218
1,396
760
636
1,925
9,740
4,209
2,195
2,014
3,352
1,791
1,561
2,179
1,246
932
1,165
672
493
992
344
252
395
12,216
569
181
389
1,636
8,959
3,957
2,069
1,888
3,104
1,692
1,412
1,898
1,106
793
838
545
293
215
125
54
35
80.3
40.8
23.8
61.1
84.9
92.0
94.0
94.3
93.7
92.6
94.5
90.4
87.1
88.7
85.0
71.9
81.1
59.3
21.6
36.4
21.5
8.9
11,472
469
153
317
1,511
8,492
3,711
1,931
1,780
2,980
1,620
1,360
1,802
1,056
746
793
515
278
205
122
48
35
75.4
33.6
20.1
49.8
78.5
87.2
88.2
88.0
88.4
88.9
90.5
87.1
82.7
84.7
80.1
68.0
76.6
56.3
20.7
35.4
19.2
8.9
745
100
28
72
124
467
246
138
108
125
73
52
96
50
46
45
30
15
9
3
6
6.1
17.6
15.3
18.6
7.6
5.2
6.2
6.7
5.7
4.0
4.3
3.7
5.1
4.5
5.9
5.3
5.5
5.0
4.3
2.7
14,404
1,338
716
622
1,683
8,776
3,558
1,807
1,751
3,057
1,604
1,453
2,161
1,210
950
1,278
757
521
1,330
451
338
541
8,056
451
154
296
1,074
5,739
2,194
1,093
1,102
2,053
1,064
988
1,491
864
628
661
452
209
132
71
34
27
55.9
33.7
21.6
47.7
63.8
65.4
61.7
60.5
62.9
67.1
66.4
68.0
69.0
71.4
66.1
51.7
59.7
40.1
9.9
15.8
10.1
4.9
7,498
356
134
221
987
5,392
2,034
979
1,055
1,931
1,003
928
1,428
828
599
645
436
209
118
57
34
27
52.1
26.6
18.8
35.6
58.7
61.4
57.2
54.2
60.2
63.1
62.5
63.8
66.1
68.5
63.0
50.5
57.6
40.1
8.9
12.6
10.1
4.9
9,349
1,713
1,140
573
899
3,818
1,616
841
776
1,252
638
614
950
487
462
945
432
513
1,975
598
502
875
Men
16 years and over
16to 19years
16to 17years
18to 19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
!
(1)
"*
3,002
826
579
247
290
781
253
126
127
248
98
149
280
141
140
328
127
201
777
219
198
360
Women
16 years and over
16to19years
16 to 17 years
18to 19years
20 to 24 years
25 to 54 years
25 to 34 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
50 to 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
1
558
95
20
75
86
347
161
114
47
122
62
61
64
35
29
16
16
- 14
14
-
6.9
21.0
12.9
25.3
8.0
6.0
7.3
10.4
4.3
5.9
5.8
6.1
4.3
4.1
4.6
2.4
3.6
'
-10.8
(1)
-
6,348
887
561
I
326
|
I
j
I
I
I
609
3,037
1,363
714
649
1,005
540
465
669
347
323
617
305
312
1,198
380
304
515
I
!
!
!
•
Data not shown where base is less than 75,000.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Beginning in January 2006, data reflect revised population controls used in the household
survey. Dash indicates no data or data that do not meet publication criteria.
38
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-15.
Employment status of the civilian noninstltutional population by race, Hispanic or Latino ethnicity, sex, and age
(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
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
224,837
147,125
65.4
138,682
8,444
5.7
77,712
227,553
149,090
65.5
141,481
7,608
5.1
78,463
100,219
75,322
75.2
71,104
4,218
5.6
24,897
101,560
76,513
75.3
72,864
3,648
4.8
25,047
108,316
65,253
60.2
62,117
3,136
4.8
43,063
109,478
65,929
60.2
62,997
2,933
4.4
43,548
16,302
6,550
40.2
5,460
1,090
16.6
9,752
183,640
120,778
65.8
114,756
6,023
5.0
62,862
185,436
122,351
66.0
116,745
5,605
4.6
63,085
83,136
62,929
75.7
59,849
3,080
4.9
20,208
84,067
63,890
76.0
61,100
2,790
4.4
20,177
87,865
52,399
59.6
50,272
2,128
4.1
35,466
88,617
52,900
59.7
50,847
2,052
3.9
35,717
12,639
5,450
43.1
4,636
815
14.9
7,188
26,306
16,538
62.9
14,720
1,818
11.0
9,768
26,788
16,764
62.6
15,231
1,532
9.1
10,024
10,569
7,383
69.9
6,526
858
11.6
3,186
10,775
7,473
69.4
6,840
633
8.5
3,302
13,288
8,439
63.5
7,683
756
9.0
4,850
13,490
8,587
63.7
7,892
695
8.1
4,902
2,449
716
29.2
512
204
28.6
1,733
9,661
6,386
66.1
6,115
271
4.2
3,274
9,990
6,565
65.7
6,357
208
3.2
3,425
4,261
3,332
78.2
3,196
136
4.1
929
4,470
3,479
77.8
3,378
102
2.9
990
4,741
2,889
60.9
2,769
120
4.1
1,852
4,929
2,952
59.9
2,866
86
2.9
1,977
659
165
25.1
150
15
9.3
494
28,642
19,170
66.9
17,839
1,331
6.9
9,472
29,622
20,272
68.4
18,969
1,303
6.4
9,349
13,344
11,089
83.1
10,404
685
6.2
2,255
13,822
11,647
84.3
11,002
645
5.5
2,175
12,651
7,188
56.8
6,717
471
6.5
5,463
13,066
7,605
58.2
7,142
464
6.1
5,461
2,647
893
33.7
718
175
19.6
1,753
TOTAL
Civilian noninstltutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force
White
Civilian noninstltutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force
Black or African American
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force
Asian
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force
Hispanic or Latino ethnicity
Civilian noninstitutional population ....
Civilian labor force
Percent of population
Employed
Unemployed
Unemployment rate
Not in labor force
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 2006,
data reflect revised population controls used in the household survey.
39
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
(Numbers in thousands)
Janu ary2006
Civilian labor force
Civilian
noninstitutional
population
Enrollment status, educational
attainment, race, and
Hispanic or Latino ethnicity
Unemployed
Employed
Total
Percent of
population
Total
Full
time
Part
time
Total
Looking
for
full-time
work
Looking
for
parttime
work
Percent of
labor
force
TOTAL ENROLLED
20,956
13,708
7,248
8,721
4,676
4,045
41.6
34.1
55.8
7,842
4,070
3,773
1,721
384
1,336
6,122
3,685
2,437
878
606
272
225
110
115
653
496
157
10.1
13.0
6.7
10,295
10,661
4,029
4,692
39.1
44.0
3,554
4,288
841
879
2,713
3,409
475
403
121
104
354
300
11.8
8.6
10,778
10,178
8,760
1.418
3,145
5,576
4,411
1,165
29.2
54.8
50.4
82.2
2,661
5,181
4,071
1,111
139
1,582
917
664
2,522
3,600
3,153
446
484
395
340
54
78
147
107
40
406
247
233
14
15.4
7.1
7.7
4.7
16,146
10,557
5,590
7,278
3,971
3,307
45.1
37.6
59.2
6,633
3,510
3,123
1,422
318
1,104
5,211
3,192
2,019
645
461
184
136
63
74
509
398
110
8.9
11.6
5.6
I
7,954
8,193
3,411
3,867
42.9
47.2
3,048
3,585
710
712
2,338
2,873
363
282
77
59
286
223
10.6
7.3
I
8,228
7,919
6,838
1,081
2,655
4,623
3,710
913
32.3
58.4
54.3
84.5
2,288
4,345
3,457
888
117
1,304
772
532
2,171
3,041
2,685
356
367
278
253
25
45
91
73
18
322
187
180
7
13.8
6.0
6.8
2.7
3,095
2,098
997
901
445
456
29.1
21.2
45.7
730
334
396
192
38
154
538
296
242
171
111
60
61
41
20
110
70
40
19.0
25.0
13.2
1,472
1,623
356
544
24.2
33.5
281
448
74
118
208
330
75
96
27
34
48
62
21.1
17.6
1,750
1,345
1,107
238
314
587
407
179
17.9
43.6
36.8
75.4
224
505
344
161
12
180
85
95
212
325
259
66
90
81
63
18
25
35
20
16
64
46
43
2
28.6
13.9
15.5
10.1
992
530
463
286
93
193
28.8
17.6
41.7
265
86
178
63
14
49
202
72
129
22
7
14
10
10
12
7
5
7.5
7.6
7.5
492
500
130
156
26.4
31.3
121
143
32
31
90
112
9
13
5
5
4
8
6.7
8.2
383
609
567
41
55
231
203
28
14.4
38.0
35.8
1
50
214
186
28
3
60
44
16
47
155
143
12
5
17
17
2
8
8
3
9
9
8.9
7.2
8.2
2,918
2,079
839
1,053
568
485
36.1
27.3
57.8
939
482
457
242
54
187
698
428
269
114
85
29
43
23
19
71
62
9
10.8
15.1
5.9
1,466
1,452
526
527
35.9
36.3
460
479
127
114
333
364
66
48
27
16
39
32
12.5
9.1
1,778
1,140
902
238
408
645
443
203
22.9
56.6
49.1
85.0
346
594
403
191
44
198
94
104
302
396
309
87
62
52
40
12
13
30
23
7
49
22
17
5
15.3
8.0
9.0
5.8
Total, 16 to 24 years
16 to 19 years
20 to 24 years
Men
Women
High school
College
Full-time students
Part-time students
White
Total, 16 to 24 years
16to 19 years
20 to 24 years
Men
Women
High school
College
Full-time students
Part-time students
Black or African American
Total, 16 to 24 years
16to19years
20to 24 years
|
Men
Women
High school
College
Full-time students
Part-time students
!
I
Asian
Total, 16 to 24 years
16 to 19 years
20 to 24 years
Men
Women
,
j
High school
College
Full-time students
Part-time students
< >
Hispanic or Latino ethnicity
Total, 16 to 24 years
16to 19 years
20 to 24 years
Men
Women
High school
College
Full-time students
Part-time students
I
l
See footnotes at end of table.
40
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)
January 2006
Civilian labor force
Enrollment status, educational
attainment, race, and
Hispanic or Latino ethnicity
Civilian
noninstitutional
population
Unemployed
Employed
Total
Percent of
population
Total
Full
time
Part
time
Total
Looking
for
full-time
work
Looking
for
parttime
work
TOTAL NOT ENROLLED
15,805
2,807
12,998
12,648
1,972
10,676
80.0
70.3
82.1
11,160
1,551
9,610
9,054
1,080
7,974
2,106
1,635
1,488
422
1,066
1,387
386
1,002
100
36
64
Men
Women
8,259
7,547
7,144
5,504
86.5
72.9
6,244
4,916
5,295
3,760
950
1,156
588
837
551
37
Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
3,411
6,865
3,877
1,652
2,230
5,485
3,399
1,534
6I5.4
79.9
87.7
92.8
1,801
4,731
3,169
1,460
1,411
3,822
2,519
1,303
390
909
650
157
429
754
12,448
2,195
10,253
10,168
1,590
8,578
81.7
72.5
83.7
9,142
1,288
7,853
7,412
879
6,533
1,730
1,320
Men
Women
6,597
5,851
5,845
4,323
88.6
73.9
5,197
3,945
4,419
2,993
Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
2,669
5,323
3,063
1,393
1,827
4,353
2,694
1,293
68.5
81.8
88.0
92.9
1,514
3,843
2,543
1,242
2,269
426
1,631
1,843
1,372
71.9
60.8
74.4
Men
Women
1,120
1,148
842
Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
500
1,119
527
123
486
Total, 16 to 24 years
1 6 t o 19 years
20 to 24 years
471
400
707
207
74
29
48
23
1,026
302
724
963
274
64
28
35
778
952
648
379
615
348
33
31
1,182
3,119
2,007
1,104
331
724
536
139
314
287
481
143
51
26
30
151
51
1,274
166
1,108
1,048
142
906
226
24
202
357
93
264
333
90
243
24
3
21
75.1
68.7
655
618
547
501
109
117
186
171
164
17
6
252
797
459
123
50.3
71.3
87.1
100.0
162
596
407
110
133
475
333
106
28
121
74
3
90
202
52
191
13
13
402
40
362
82.7
61
425
<1>
815.1
360
27
333
290
14
275
70
13
57
42
13
29
30
8
22
13
5
8
Men
Women
262
224
223
179
85.3
79.7
190
170
161
129
29
41
34
8
21
8
13
Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
77
146
154
110
49
122
141
91
63.8
83.5
91.6
82.6
43
107
126
85
26
93
100
71
17
14
26
13
7
15
15
6
4
7
12
6
3,423
654
2,769
2,676
452
2,224
78.2
69.2
80.3
2,385
343
2,042
1,964
421
82
1,703
339
291
109
182
266
95
171
25
14
11
Men
Women
1,855
1,568
1,679
90.5
63.6
1,520
864
1,294
670
226
194
158
133
144
122
14
11
Less than a high school diploma
High school graduates, no college 2
Some college or associate degree
Bachelor's degree and higher 3
1,343
955
1,342
644
95
1,067
568
87
71.1
79.6
88.2
91.6
816
954
528
87
672
813
417
62
144
141
111
25
113
40
122
106
38
16
7
1
231
74
White
Total, 16to24years
16to 19years
20 to 24 years
409
511
Black or African American
Total, 16to24years
16to19years
20 to 24 years
259
90
39
10
13
Asian
Total, 16 to 24 years
16to19years
20 to 24 years
Hispanic or Latino ethnicity
Total, 16 to 24 years
16to19years
20to 24 years
1
Data not shown where base is less than 75,000.
Includes persons with a high school diploma or equivalent.
Includes persons with a bachelor's, master's, professional, and doctoral degrees.
NOTE:
In the summer months, the educational attainment levels of youth not enrolled in
school are increased by the temporary movement of high school and college students into that
group. Estimates for the above race groups (white, black or African American, arid 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 2006, data reflect revised population controls used in the
household survey. Dash indicates no data or data that do not meet publication criteria.
2
3
261
41
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
Sex, race, and Hispanic
or Latino ethnicity
Less than a
high school
diploma
High school
graduates,
no college 1
Some college,
no degree
Total
Bachelor's
degree
and higher 2
Associate
degree
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
12,562
44.7
11,417
40.6
1,144
9.1
12,621
45.9
11,580
42.1
1,041
8.2
38,002
62.6
35,907
59.2
2,096
5.5
38,018
62.5
36,075
59.3
1,943
5.1
34,254
72.4
32,740
69.2
1,514
4.4
35,265
71.9
33,917
69.2
1,348
3.8
21,949
70.1
20,923
66.8
1,026
4.7
22,347
69.4
21,405
66.5
941
4.2
12,305
77.0
11,817
73.9
488
4.0
12,918
76.7
12,511
74.2
407
3.1
40,789
78.2
39,760
76.2
1,029
2.5
7,923
57.4
7,222
52.3
701
8.8
8,029
59.3
7,434
54.9
595
7.4
20,786
72.9
19,573
68.7
1,213
5.8
21,003
72.7
19,896
68.9
1,106
5.3
17,018
79.1
16,215
75.4
803
4.7
17,523
78.3
16,863
75.3
661
3.8
11,221
77.0
10,687
73.4
534
4.8
11,482
76.0
11,041
73.1
440
3.8
5,797
83.4
5,528
79.6
269
4.6
6,042
82.8
5,821
79.8
220
3.6
21,690
82.7
21,129
80.5
561
2.6
4,639
32.4
4,196
29.3
443
9.6
4,592
32.9
4,146
29.7
446
9.7
17,216
53.5
16,333
50.8
882
5.1
17,015
53.3
16,179
50.7
836
4.9
17,236
66.8
16,525
64.1
711
4.1
17,742
66.6
17,054
64.0
688
3.9
10,728
64.0
10,236
61.1
492
4.6
10,865
63.6
10,364
60.6
501
4.6
6,508
72.0
6,289
69.6
219
3.4
6,876
71.9
6,690
70.0
187
2.7
19,099
73.7
18,631
71.9
468
2.5
10,165
45.7
9,331
41.9
834
8.2
10,312
47.2
9,548
43.7
765
7.4
31,074
62.1
29,643
59.3
1,431
4.6
31,198
62.2
29,754
59.3
1,444
4.6
28,272
72.1
27,160
69.3
1,112
3.9
28,933
71.4
27,929
68.9
1,004
3.5
17,956
69.6
17,224
66.8
732
4.1
18,095
68.7
17,400
66.0
695
3.8
10,316
76.9
9,936
74.1
380
3.7
10,839
76.5
10,529
74.3
310
2.9
33,874
77.6
33,095
75.8
779
2.3
1,636
39.8
1,384
33.6
252
15.4
1,486
38.4
1,277
33.0
210
14.1
5,086
65.3
4,556
58.5
530
10.4
4,984
64.8
4,568
59.4
416
8.3
4,095
75.1
3,809
69.8
286
7.0
4,439
75.5
4,173
71.0
266
6.0
2,828
74.1
2,613
68.4
215
7.6
3,071
74.3
2,872
69.5
199
6.5
1,267
77.4
1,196
73.0
71
5.6
1,368
78.4
1,301
74.6
67
4.9
3,026
82.5
2,884
78.6
142
4.7
392
40.6
368
38.1
24
6.2
409
43.4
400
42.4
9
2.3
1,047
62.2
994
59.1
53
5.1
1,059
61.0
1,013
58.3
47
4.4
1,030
70.6
966
66.2
64
6.2
1,001
70.2
982
69.0
18
1.8
610
67.4
572
63.3
38
6.2
575
66.8
567
65.9
8
1.4
420
75.7
394
70.9
27
6.3
426
75.5
416
73.7
10
2.4
3,226
79.0
3,136
76.8
90
2.8
5,489
60.9
5,071
56.3
418
7.6
5,758
62.2
5,318
57.4
440
7.6
4,640
72.8
4,376
68.6
264
5.7
4,855
74.0
4,588
70.0
267
5.5
3,373
79.3
3,215
75.5
158
4.7
3,445
78.8
3,309
75.7
136
3.9
2,349
79.0
2,242
75.4
106
4.5
2,300
78.0
2,202
74.7
98
4.3
1,024
79.8
973
75.8
51
5.0
1,145
80.4
1,107
77.7
38
3.3
2,174
80.6
2,100
77.9
74
3.4
TOTAL
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
Men
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
Women
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
White
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
Black or African American
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
Asian
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
Hispanic or Latino ethnicity
Civilian labor force
Percent of population
Employed
Employment-population ratio.
Unemployed
Unemployment rate
1
Includes persons with a high school diploma or equivalent.
Includes persons with a bachelor's, master's, professional, and doctoral
degrees.
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 2006, data reflect revised population controls used in the household survey.
2
42
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-18.
Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnicity
(In thousands)
January 2006
Unemployed
Employed
Full-time workers
Part-time workers
At work
At work 2
, sex, race, and Hispanic
or Latino ethnicity
Looking
for
full-time
work
35
hours
or
more
1 to 34
hours for
economic
or
noneconomic
reasons
116,395
1,464
119
1,345
114,931
9,310
105,621
87,115
18,506
104,092
1,236
102
1,134
102,856
8,261
94,595
78,353
16,242
9,310
202
16
186
9,109
857
8,251
6,616
1,636
2,993
27
1
26
2,967
192
2,775
2,146
628
25,086
4,156
1,980
2,176
20,930
4,072
16,858
11,399
5,459
2,880
170
28
142
2,710
622
2,088
1,738
350
20,708
3,819
1,882
1,937
16,889
3,219
13,670
9,029
4,642
1,498
167
70
97
1,331
231
1,099
632
467
6,265
496
56
440
5,769
1,117
4,653
3,970
683
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
67,086
902
66,184
5,234
60,951
50,329
10,622
60,618
780
59,838
4,664
55,174
45,794
9,380
4,837
108
4,728
480
4,249
3,411
838
1,631
14
1,617
90
1,528
1,123
405
8,519
1,839
6,680
1,824
4,856
2,657
2,199
1,396
89
1,306
357
950
799
151
. 6,639
1,689
4,949
1,364
3,585
1,712
1,873
484
60
424
103
321
146
175
3,603
282
3,321
676
2,645
2,252
393
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
49,309
562
48,747
4,077
44,670
36,786
7,883
43,473
456
43,017
3,597
39,421
32,559
6,862
4,473
93
4,380
378
4,003
3,204
798
1,362
13
1,349
102
1,247
1,023
224
16,567
2,317
14,250
2,248
12,002
8,742
3,260
1,485
81
1,404
265
1,138
939
200
14,070
2,130
11,940
1,855
10,085
7,317
2,768
1,013
107
907
128
778
487
292
2,662
214
2,448
441
2,008
1,718
290
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
56,240
747
55,493
4,382
51,111
41,856
9,254
50,739
632
50,107
3,906
46,201
38,050
8,151
4,124
101
4,023
405
3,618
2,873
745
1,377
14
1,363
71
1,292
933
359
7,234
1,627
5,607
1,489
4,118
2,130
1,987
1,096
79
1,017
275
742
620
122
5,721
1,491
4,230
1,126
3,104
1,397
1,708
417
57
360
88
272
113
158
2,752
206
2,545
486
2,060
1,717
343
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
39,073
450
38,623
3,255
35,368
28,707
6,661
34,385
367
34,018
2,886
31,132
25,365
5,767
3,587
72
3,515
292
3,223
2,532
691
1,101
11
1,090
77
1,013
811
202
14,199
1,974
12,224
1,851
10,374
7,475
2,899
1,120
72
1,048
198
850
703
147
12,194
1,806
10,389
1,538
8,850
6,370
2,481
884
96
788
114
674
403
271
1,800
130
1,670
277
1,393
1,177
217
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
6,256
99
6,157
521
5,636
4,876
760
5,723
95
5,628
469
5,159
4,486
673
421
4
417
44
373
316
56
112
229
4
225
56
170
147
22
542
108
434
146
288
187
101
24
112
8
104
74
30
795
112
683
205
478
349
129
628
59
570
138
432
404
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
6,791
81
6,710
539
6,171
5,416
755
6,074
63
6,012
448
5,564
4,886
678
15
551
73
478
407
70
150
2
148
18
130
123
7
1,389
208
1,181
239
942
726
217
255
5
250
54
196
168
28
1,058
196
862
173
689
511
178
76
7
69
12
57
47
10
Total
Not
at
work
Total
Part time for
economic
reasons
Part time
for
noneconomic
reasons
Not
at
work
TOTAL
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
White
Black or African American
See footnotes at end of table.
43
24
3
21
15
6
73
621
125
497
443
54
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
(In thousands)
January 2006
Employed1
Unemployed
Full-time workers
Part-time workers
At work
At work 2
Age, sex, race, and Hispanic
or Latino ethnicity
1to34
hours for
economic
or
noneconomic
reasons
Not
at
work
Total
35
hours
or
more
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
3,162
22
3,140
170
2,970
2,507
463
2,926
20
2,906
161
2,746
2,311
434
157
2
155
5
149
131
18
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
2,308
7
2,301
154
2,148
1,833
315
2,037
7
2,031
137
1,894
1,602
292
190
81
190
10
180
168
13
81
7
74
64
10
618
53
564
101
464
361
103
10,353
229
10,124
1,192
8,932
8,061
871
9,291
210
9,081
1,052
8,029
7,255
774
826
17
810
124
685
611
74
235
3
233
15
217
195
22
5,814
86
5,728
699
5,030
4,459
570
5,122
72
5,049
637
4,412
3,906
506
492
5
487
48
439
393
46
201
9
192
13
178
160
18
Total
Part time
Part time for
for
economic noneconomic
reasons
reasons
Not
at
work
Looking
for
full-time
work
Asian
28
2
25
10
16
210
30
180
65
115
80
35
32
67
67
10
57
36
21
511
50
461
91
370
294
76
39
3
36
36
30
6
74
2
71
10
61
49
12
1,119
240
879
319
559
431
128
327
21
305
96
209
186
24
749
206
543
214
329
234
94
43
12
30
10
21
11
10
671
58
613
113
500
447
53
1,684
270
1,413
289
1,125
933
192
232
8
224
42
182
164
18
1,373
253
1,120
232
889
733
155
79
10
69
15
54
35
19
473
61
412
79
79
4
75
64
11
32
237
86
151
101
50
32
12
20
11
8
97
6
92
21
71
58
13
Hispanic or Latino ethnicity
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
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
1
Employed persons are classified as full- or part-time workers based on their
usual weekly hours at all 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.
77
335
307
28
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 2006, data reflect revised population controls used in the household
survey. Dash indicates no data or data that do not meet publication criteria.
44
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-19.
Employed persons by occupation, sex, and age
(In thousands)
Occupation
16 years
and over
Jan.
2005
Total
48,878
20,063
14,347
5,716
28,815
3,232
2,791
1,399
2,179
16 years
and over
16 years
and over
20 years
and over
20 years
and over
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
73,728
75,605
71,104
72,864
64,953
65,876
62,117
50,131
21,074
15,284
24,198
11,430
8,981
24,812
12,231
24,642
12,191
2,449
24,680
8,632
5,366
3,267
25,319
8,843
5,790
29,056
24,061
11,410
8,961
2,448
12,652
2,416
2,439
799
883
752
12,451
2,408
2,405
16,048
802
344
596
16,476
824
421
634
24,503
8,618
5,353
3,264
15,885
800
344
1,289
780
1,316
776
6,202
1,315
Jan.
2006
138,682 1141,481
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
Women
Men
Total
9,759
2,473
9,728
2,463
5,526
3,317
1,534
8,406
3,251
2,843
1,427
2,138
1,580
8,267
2,731
6,543
2,637
6,914
1,405
1,768
12,581
2,427
2,422
794
822
803
2,065
1,322
1,926
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
22,276
3,037
2,869
7,308
4,724
4,338
22,550
3,083
2,850
7,136
4,864
4,617
9,393
352
2,219
3,159
2,682
982
9,590
354
2,221
3,182
2,849
983
8,444
340
2,182
2,476
2,544
902
8,746
346
2,172
2,631
2,696
901
12,883
2,686
650
4,149
2,041
3,357
12,960
2,729
629
3,954
2,015
3,634
11,756
2,592
630
3,397
1,988
3,149
Sales and office occupations
Sales and related occupations
Office and administrative support occupations
35,284
15,936
19,348
35,799
16,315
19,484
12,661
7,998
4,662
12,952
8,242
4,710
11,859
7,520
4,339
12,131
7,753
4,378
22,623
7,937
14,686
22,848
8,073
21,223 j
7,035
14,188
Natural resources, construction, and maintenance occupations .
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
14,327
798
8,376
15,088
851
9,102
13,687
660
8,114
14,406
674
8,811
13,378
612
7,922
14,014
591
8,594
5,154
5,135
4,913
4,921
4,844
4,829
640
138
262
241
682
177
290
214
Production, transportation, and material moving occupations
Production occupations
Transportation and material moving occupations
17,916
9,372
8,544
17,914
9,450
8,464
13,790
6,507
7,283
13,846
6,623
7,222
13,362
6,396
6,966
13,331
6,423
6,909
4,126
2,865
1,261
4,068
2,827
1,241
12,768
2,430
2,446
804
890
754
2,272
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
45
794
596
1,764
815
803
2,023
1,288
1,914
1,327
4,775
4,988
1,279
775
6,065
1,290
4,736
2,238
1,361
6,134
14,774
612
128
248
235
4,023
2,821 j
1,202 I
H O U S E H O L D DATA
N O T SEASONALLY A D J U S T E D
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex
(Percent distribution)
Total
Occupation, race, and Hispanic or Latino ethnicity
Women
Men
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
138,682
100.0
141,481
100.0
73,728
100.0
75,605
100.0
64,953
100.0
65,876
100.0
35.2
14.5
20.8
16.1
25.4
11.5
14.0
10.3
.6
6.0
3.7
12.9
6.8
6.2
35.4
14.9
20.5
15.9
25.3
11.5
13.8
10.7
.6
6.4
3.6
12.7
6.7
6.0
32.8
15.5
17.3
12.7
17.2
10.8
6.3
18.6
32.8
16.2
16.6
12.7
17.1
10.9
6.2
38.4
13.4
25.0
114,756
100.0
36.1
15.1
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
.9
19.1
.9
11.0
11.7
6.7
18.7
6.5
18.3
8.8
8.8
9.9
9.6
38.0
13.3
24.7
19.8
34.8
12.2
22.6
1.0
.2
.4
.4
6.4
4.4
1.9
116,745
100.0
62,081
100.0
63,473
100.0
52,675
100.0
53,272
100.0
36.0
15.6
20.4
14.8
25.5
11.9
33.5
16.3
17.2
11.9
17.0
11.3
5.8
19.7
1.0
11.7
7.0
17.9
8.5
33.4
17.0
16.3
11.6
17.2
11.4
5.8
20.2
1.0
12.3
6.8
17.6
8.6
39.1
13.8
25.3
18.7
35.3
12.6
22.7
1.1
.3
.5
.3
9.4
9.0
39.1
13.7
25.4
18.8
35.1
12.4
22.7
1.1
.2
.4
.4
6.0
4.2
1.8
19.7
34.7
12.3
22.4
1.0
.3
.4
.3
6.2
4.3
1.9
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
20.9
15.0
25.3
11.8
13.5
11.1
.6
6.5
4.0
12.5
6.5
13.5
11.4
.7
5.9
6.9
3.9
12.3
6.6
5.7
14,720
100.0
15,231
100.0
6,775
100.0
7,051
100.0
7,944
100.0
8,180
100.0
25.6
9.1
16.5
23.5
27.3
27.7
9.8
17.9
23.7
25.6
9.1
16.5
21.4
8.8
12.6
21.7
29.2
9.4
12.4
19.8
19.2
21.4
18.3
7.5
10.8
13.5
.5
8.3
4.7
16.5
7.4
27.1
34.9
32.8
10.3
22.6
25.6
33.3
10.5
22.8
5.9
4.2
1.8
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 and material moving occupations
9.4
17.8
6.4
.3
9.3
8.8
3.9
2.2
See footnotes at end of table.
17.2
8.0
6.9
.3
4.2
2.3
16.2
7.4
46
27.6
11.0
16.6
9.3
9.2
13.8
.4
8.8
4.6
26.5
10.8
15.8
11.1
23.8
.5
.1
.2
.2
8.4
5.4
3.0
.9
.3
.2
.4
7.3
4.6
2.8
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-20. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex—Continued
(Percent distribution)
Total
Occupation, race, and Hispanic or Latino ethnicity
Women
Men
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
6,115
100.0
6,357
100.0
3,266
100.0
3,432
100.0
2,850
100.0
46.2
16.9
29.3
14.4
24.3
12.0
12.3
4.3
.3
1.4
2.6
10.7
8.1
2.6
46.8
16.9
29.8
15.5
23.0
11.0
12.0
4.3
.3
1.8
2.2
10.4
7.2
3.2
47.4
17.0
30.3
12.7
18.8
11.7
7.1
7.5
.3
2.5
4.7
13.7
9.5
4.2
49.0
17.3
31.7
13.0
18.2
11.1
7.2
7.2
.2
3.0
3.9
12.6
7.7
4.9
44.9
16.7
28.2
16.5
30.7
12.3
18.4
.7
.2
.2
.3
7.3
6.4
.9
17,839
100.0
18,969
100.0
10,803
100.0
11,472
100.0
7,036
100.0
17.3
6.8
10.5
24.6
21.6
9.1
12.5
17.8
1.8
12.2
3.8
18.7
9.8
8.9
17.8
7.6
10.2
23.7
21.6
9.7
11.9
18.7
1.7
13.3
3.7
18.2
9.8
8.4
14.6
6.3
8.3
20.6
13.1
6.9
6.1
28.2
2.5
19.7
5.9
23.5
11.1
12.4
14.6
7.1
7.5
18.7
14.3
7.9
6.4
29.6
2.3
21.5
5.8
22.7
10.9
11.9
21.5
7.4
14.0
30.7
34.7
12.3
22.4
1.9
.7
.6
.6
11.3
7.9
3.4
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
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
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
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
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 2006, data reflect revised population controlsused in the
household survey.
47
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-21. Employed persons by industry and occupation
(In thousands)
January 2006
Management,
professional,
and related
occupations
Industry
Agriculture, forestry,
fishing, and hunting
Total
employed
Management,
business,
and
financial
operations
occupations
Sales and office
occupations
Service
occupations
ProfesService
sional Protective
occupaand
service
tions,
related occupaexcept
occupations
protective
tions
1,970
959
35
652
62
71
Construction
11,041
1,607
230
Manufacturing
Durable goods
Nondurable goods
16,680
10,754
5,925
2,776
1,782
994
2,191
1,633
558
Wholesale and retail
trade
Wholesale trade
Retail trade
21,410
4,568
16,842
1,594
583
1,011
Transportation and
utilities
7,346
Information
Sales
and
related
occupations
Office
and
administrative
support
occupations
Natural resources,
construction, and
maintenance occupations
Farming,
fishing,
and
forestry
occupations
Production, transportation, and
material moving
occupations
Installation,
maintenance,
and
repair
occupations
Production
occupations
9
19
27
Construction
and
extraction
occupations
7
73
10
13
53
248
50
37
43
88
639
7,556
476
142
33
23
10
198
93
106
652
344
308
1,518
943
575
64
5
60
333
286
48
746
499
247
4,460
2,406
226
772
74
3
71
556
50
505
10,780
1,566
9,214
3,426
826
2,600
63
58
5
182
53
128
901
242
748
169
579
765
275
71
274
140
1,757
184
497
317
3,414
693
1,024
3
69
387
729
9
335
96
10,427
3,996
625
49
246
2,492
2,635
89
176
44
Professional and business
14,252
services
3,064
4,577
480
2,100
545
2,208
165
274
337
Education and health
services
*
29,724
2,449
15,944
176
6,261
3,865
127
227
237
Leisure and hospitality
11,187
1,424
731
100
7,058
748
560
38
144
126
939
14
2,549
335
709
41
1,153
408
39
2
1,153
408
120
137
64
Mining
Financial activities
12
Other services
Other services, except
private households
Private households
7,005
6,166
839
556
3
929
10
14
1,747
802
335
703
6
Public administration
6,373
1,127
1,417
1,830
247
31
1,311
681
20
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet publication
criteria.
48
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-22. Employed persons in agriculture and related and in nonagricultural industries by age, sex, and class of worker
(In thousands)
January 2006
Nonagricultural industries
Agriculture and related industries
Wage and salary workers
Age and sex
Wage and
salary
workers
Selfemployed
workers
Unpaid
family
workers
Private industries
Total
Total
1,118
91
52
38
132
197
269
246
112
72
834
6
5
1
8
67
156
164
203
231
17
5
3
2
4
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
875
73
40
33
109
163
202
190
84
53
623
6
5
1
8
48
109
124
153
175
12
5
3
2
4
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
244
17
12
5
23
34
67
56
29
19
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
212
18
47
40
50
56
3
2
2
Private
household
workers
Other
private
industries
Government
Selfemployed
workers
129,918
5,459
2,013
3,446
12,932
28,813
31,569
30,505
16,576
4,064
109,948
5,206
1,933
3,273
11,920
25,140
26,548
24,718
12,958
3,457
839
87
54
33
122
157
151
149
114
60
109,109
5,120
1,880
3,240
11,798
24,982
26,397
24,570
12,845
3,398
19,970
253
80
173
1,012
3,674
5,021
5,786
3,618
607
9,534
56
25
31
301
1,462
2,378
2,657
1,900
779
68,209
2,613
879
1,733
6,722
16,754
16,932
15,586
8,468
2,134
59,725
2,496
839
1,657
6,300
14,172
14,870
13,180
6,859
1,848
5
4
1
13
13
12
15
4
7
59,658
2,491
835
1,657
6,287
14,160
14,859
13,164
6,855
1,842
8,483
117
41
76
422
1,582
2,061
2,407
1,609
285
5,866
41
15
25
214
889
1,368
1,610
1,218
526
61,710
2,847
1,134
1,713
6,210
13,059
14,637
14,918
8,108
1,931
50,223
2,710
1,095
1,616
5,620
10,967
11,678
11,539
6,100
1,609
771
82
50
32
109
144
139
133
110
53
49,452
2,628
1,045
1,583
5,511
10,823
11,538
11,406
5,990
1,556
11,487
136
39
97
590
2,092
2,959
3,379
2,008
322
3,669
15
10
5
87
574
1,010
1,047
682
253
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet publication
criteria.
49
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-23. Employed persons in nonagricultural industries by sex and class of worker
(In thousands)
January 2006
industry and sex
Wage and salary workers
Total
employed 1
Total
Private
industries
Government
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
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
39,512
652
11,041
16,680
10,754
5,925
21,410
4,568
16,842
7,346
6,224
1,122
3,414
10,427
7,253
3,174
14,252
8,590
5,663
29,724
12,649
17,075
5,686
8,491
2,898
11,187
2,352
8,835
7,005
6,166
839
6,373
129,918
639
9,180
16,303
10,507
5,796
20,158
4,360
15,799
6,905
5,784
1,122
3,282
9,570
6,914
2,656
12,320
7,382
4,938
28,579
12,464
16,115
5,681
8,038
2,396
10,586
1,988
8,598
6,023
5,184
839
6,373
109,948
637
8,768
16,204
10,434
5,770
20,062
4,347
15,715
5,433
4,622
811
3,074
9,367
6,795
2,573
11,900
7,140
4,760
18,235
3,765
14,470
4,923
7,556
1,991
10,263
1,738
8,524
6,005
5,167
839
19,970
2
412
99
73
27
97
13
84
1,472
1,161
311
208
202
119
83
420
242
178
10,344
8,699
1,645
758
482
405
323
250
73
18
18
6,373
Men
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
See footnotes at end of table.
74,096
569
9,950
11,800
8,042
3,759
11,913
3,223
8,690
5,500
4,661
840
1,842
4,611
2,996
1,615
8,078
4,702
3,376
7,412
3,868
3,544
1,244
1,905
395
5,504
1,269
4,235
3,396
3,328
68
3,520
68,209
560
8,228
11,565
7,871
3,695
11,238
3,066
8,172
5,108
4,268
840
1,744
4,117
2,771
1,346
6,925
3,970
2,956
7,084
3,805
3,279
1,241
1,675
363
5,212
1,083
4,128
2,907
2,840
68
3,520
59,725
558
7,854
11,489
7,812
3,677
11,186
3,056
8,130
4,170
3,569
601
1,696
4,034
2,738
1,295
6,655
3,821
2,834
4,168
1,338
2,829
988
1,535
306
5,023
926
4,097
2,893
2,825
68
8,483
2
374
77
59
18
52
11
42
938
699
239
48
83
32
51
270
148
122
2,917
2,467
450
253
140
56
189
157
31
15
15
3,520
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-23. Employed persons in nonagricultural industries by sex and class of worker-—Continued
(In thousands)
January 2006
Wage and salary workers
Industry and sex
Total
employed 1
Total
Private
industries
Government
Women
65,416
82
1,091
4,879
2,713
2,167
9,496
1,344
8,152
1,845
1,564
282
1,572
5,817
4,257
1,560
6,174
3,888
2,286
22,312
8,782
13,531
4,441
6,587
2,503
5,683
1,083
4,600
3,609
2,838
771
2,854
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
1
61,710
79
953
4,737
2,636
2,101
8,921
1,293
7,627
1,797
1,515
282
1,538
5,453
4,143
1,310
5,395
3,412
1,983
21,495
8,659
12,836
4,439
6,363
2,033
5,374
904
4,469
3,116
2,345
771
2,854
50,223
79
915
4,715
2,622
2,093
8,876
1,291
7,585
1,263
1,053
210
1,378
5,334
4,056
1,277
5,244
3,318
1,926
14,067
2,427
11,640
3,935
6,021
1,684
5,239
812
4,427
3,113
2,342
771
-
11,487
38
23
14
9
45
3
42
534
462
72
160
119
87
33
150
94
57
7,427
6,232
1,195
505
342
349
134
92
42
3
3
2,854
Includes unpaid family workers, not shown separately.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet publication
criteria.
51
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-24. Persons at work in agriculture and related and in nonagricultural industries by hours of work
January 2006
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
Average hours, total at work
Average hours, persons who usually work full time
Agriculture
and related
industries
All
industries
Agriculture
and related
industries
Nonagricultural
industries
136,991
1,842
135,148
100.0
100.0
100.0
31,948
1,454
5,108
15,814
9,573
566
59
141
266
100
31,382
1,394
4,967
15,548
9,473
23.3
1.1
3.7
11.5
7.0
30.7
3.2
7.7
14.4
5.4
23.2
1.0
3.7
11.5
7.0
105,043
9,240
58,119
37,684
13,520
14,434
9,729
,276
90
506
680
160
218
302
103,766
9,150
57,612
37,004
13,361
14,216
9,427
76.7
6.7
42.4
27.5
9.9
10.5
7.1
69.3
4.9
27.5
36.9
8.7
11.8
16.4
76.8
6.8
42.6
27.4
9.9
10.5
7.0
39.0
42.8
39.6
46.0
39.0
42.8
All
industries
Nonagricultural
industries
NOTE: Beginning in January 2006, 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 nonagricultural industries by reason for working less than 35 hours
and usual full- or part-time status
(Numbers in thousands)
January 2006
Nonagricultural industries
All industries
Reason for working less than 35 hours
Total, 16 years and over
Economic reasons
Slack work or business conditions
Could only find part-time work
Seasonal work
Job started or ended during week
Noneconomic 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
Average hours:
Economic reasons
Other reasons
Total
Usually
work
full time
Usually
work
part time
Total
Usually
work
full time
Usually
work
part time
31,948
9,310
22,638
31,382
9,138
22,244
4,597
3,108
1,182
224
83
1,867
1,634
2,730
1,474
1,182
74
4,513
3,063
1,170
197
82
1,814
1,599
2,699
1,464
1,170
65
27,351
846
5,670
781
6,459
2,065
2,413
630
341
8,145
7,443
99
779
19,908
748
4,891
781
6,376
2,065
7,325
97
761
2,413
630
341
3,099
5,046
26,869
840
5,580
771
6,386
1,952
2,377
628
312
8,023
2,377
628
312
3,066
4,957
22.9
21.2
24.0
25.3
22.2
19.7
23.0
21.3
24.1
25.4
22.2
19.7
150
83
83
133
82
82
19,545
744
4,818
771
6,303
1,952
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
52
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-26. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status
(Numbers in thousands)
January 2006
Average hours
Worked 1 to 34 hours
Industry and class of worker
For noneconomlc
reasons
Total
at
work
Total
For
economic
reasons
Total, 16 years and over.
135,148
31,382
Wage and salary workers .
126,223
Worked
35 hours
or more
Total
at
work
Usually
work
full
time
Usually
work
part
time
4,513
7,325
19,545
103,766
39.0
28,297
3,942
6,718
17,637
97,926
39.1
618
49
9
28
13
569
48.5
8,905
1,463
519
519
425
7,442
40.3
15,987
10,307
1,691
1,034
316
156
161
856
583
273
518
295
222
14,296
9,272
5,024
42.3
42.5
41.9
5,680
656
786
804
3,685
14,354
38.0
19,629
5,275
179
362
525
5,605
42.1
6,670
1,065
77
182
399
2,548
39.7
3,206
658
136
531
882
7,790
40.4
9,338
1,549
420
630
1,256
9,650
40.0
11,956
2,306
553
1,605
5,243
20,172
37.6
27,572
7,401
690
415
3,089
6,072
34.4
10,266
4,194
1,865
1,412
453
782
235
162
73
282
242
40
1,347
1,007
340
3,991
3,645
346
36.7
37.9
28.7
Public administration ..
5,856
5,057
800
6,219
22
503
257
5,437
41.3
Self-employed workers .
Unpaid family workers ..
8,866
59
3,053
33
564
6
604
3
1,884
23
5,813
27
37.7
(1)
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
Other services, except private households.
Private households
1
Data not shown where base is less than 75,000.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
53
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
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
(Numbers in thousands)
January 2006
Worked 1 to 34 hours
Age, sex, race, Hispanic or
Latino ethnicity, and marital status
Total
at
work
Total
For
economic
reasons
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
135,148
5,328
1,971
3,357
129,820
12,823
116,998
94,702
22,296
31,382
4,024
1,861
2,163
27,358
4,486
22,872
16,652
6,220
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
55 years and over
72,062
2,585
870
1,716
69,476
6,751
62,725
50,925
11,801
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
55 years and over
Average hours
For noneconomic
reasons
Worked
35 hours
or more
Total
at
work
Usually
work
full
time
Usually
work
part
time
4,513
218
35
183
4,295
840
3,455
2,816
639
7,325
132
6
126
7,192
588
6,604
5,338
1,266
19,545
3,674
1,820
1,853
15,871
3,058
12,813
8,498
4,315
103,766
1,304
109
1,194
102,462
8,337
94,125
78,050
16,076
39.0
22.7
15.9
26.7
39.7
35.0
40.2
40.8
37.7
12,118
1,776
797
979
10,342
2,085
8,257
5,632
2,625
2,450
130
19
110
2,320
512
1,808
1,488
320
3,554
55
1
54
3,498
290
3,208
2,593
614
6,115
1,591
777
814
4,524
1,282
3,242
1,551
1,691
59,944
810
73
737
59,134
4,666
54,468
45,292
9,176
41.5
24.6
16.8
28.5
42.1
36.4
42.7
43.4
39.8
63,086
2,743
1,101
1,642
60,344
6,071
54,272
43,777
10,495
19,264
2,248
1,065
1,184
17,016
2,401
14,615
11,020
3,595
2,063
89
16
73
1,975
328
1,647
1,328
319
3,771
77
5
72
3,694
297
3,397
2,745
652
13,430
2,083
1,044
1,039
11,347
1,776
9,571
6,947
2,624
43,822
494
36
458
43,328
3,671
39,657
32,757
6,900
36.2
21.0
15.2
24.8
36.9
33.4
37.3
37.8
35.3
111,251
60,356
50,895
26,481
10,278
16,203
3,664
2,052
1,611
5,959
2,976
2,983
16,857
5,249
11,608
84,770
50,078
34,693
39.0
41.6
35.9
14,791
6,847
7,944
2,978
1,128
1,849
570
272
299
866
351
515
1,541
505
1,036
11,813
5,719
6,094
38.9
40.4
37.6
6,102
3,306
2,795
1,134
385
749
134
44
90
302
136
205
493
4,967
2,921
2,046
39.9
42.1
37.3
18,118
10,943
7,175
3,847
1,809
2,038
971
616
355
855
497
358
2,022
696
1,326
14,271
9,134
5,136
38.4
40.0
36.1
Men, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married
43,338
9,027
19,697
5,197
1,379
5,542
947
375
1,128
2,119
489
946
2,131
515
3,468
38,141
7,648
14,155
43.3
41.9
37.2
Women, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married
33,714
12,976
16,396
10,133
3,150
5,981
832
544
2,134
780
857
7,167
1,827
4,436
23,581
9,826
10,415
36.3
38.4
34.4
AGE AND SEX
RACE AND HISPANIC OR LATINO ETHNICITY
White, 16 years and over
Men
Women
Black or African American, 16 years and over
Men
Women
Asian, 16 years and over
Men
Women
Hispanic or Latino ethnicity, 16 years and over
Men
Women
,
MARITAL STATUS
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 2006, data reflect revised population controls used in the
household survey.
54
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-28. Persons at work by occupation, sex, and usual full- or part-time status
(Numbers in thousands)
January 2006
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
OfficB-aTTd-adrnlrristratrve support occupatrons
Natural resources, construction, and maintenance occupations 1
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
Average hours
For noneconomic
reasons
Total
at
work
Total
136,991
31,948
48,422
20,431
For
economic
reasons
Worked
35 hours
or more
Total
at
work
Usually
work
full
time
Usually
work
part
time
4,597
7,443
19,908
105,043
39.0
712
278
434
1,303
1,019
590
429
801
635
131
763
354
408
2,787
1,035
1,752
1,043
1,769
673
1,096
5,331
1,388
39,593
8,223
8,829
2,700
6,129
8,028
9,396
4,545
4,851
2,458
1,612
657
3,236
1,386
1,850
73,490
12,475
24,106
11,876
12,229
601
257
3,326
750
376
269
939
529
409
1,535
502
1,033
14,242
7,869
6,372
41.1
43.3
39.6
34.9
37.4
38.1
36.8
40.4
39.9
41.5
40.3
40.5
40.2
2,517
3,642
6,316
61,014
41.5
360
176
184
503
327
206
122
779
614
131
547
202
345
1,201
539
662
403
489
280
209
863
582
245
686
343
343
1,438
553
885
1,586
1,628
983
645
662
347
247
21,106
10,608
10,498
6,498
7,047
3,000
1,268
1,732
2,493
2,445
1,469
976
2,303
1,543
623
2,234
788
1,446
1,002
243
759
4,172
11,310
5,710
5,600
43.9
45.2
42.5
37.9
40.7
41.8
38.8
40.6
40.0
41.6
41.2
41.5
40.9
63,50^
19,473
2,080
3,801
13,592
44,028
36.2
24,317
8,554
5,830
1,432
4,398
5,535
6,952
3,076
3,875
154
69
34
1,002
598
404
352
101
250
799
691
384
307
22
21
1,586
3,893
835
3,058
18,487
7,122
11,365
38.4
40.6
37.3
32.7
35.4
34.2
36.1
36.8
36.6
37.6
37,3
38.0
35.7
27,992
21,736
34,789
15,823
18,966
14,584
8,762
4,996
17,478
9,2155
9,255
12,657
8,070
4,588
13,927
8,495!
4,796
13,544
15,762
12,481
22,132
7,753
14,379
638
270
200
3,934
2,758
1,176
1
216
153
63
906
496
1,090
640
1,280
392
888
44
19
12
253
186
67
3,943
5,683
6,609
3,283
17,731
21,862
13,708
25,393
11,278
T4.T15
12,107
7,151
4,339
6,762
10,213
6,601
3,612
11,623
6,949
4,096
6,946
4,981
2,300
2,681
15,180
4,677
10,503
483
202
166
2,932
2,160
772
89
29
22
533
259
274
Includes farming, fishing, and forestry occupations, not shown separately.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
55
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-29. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex
Women
Men
Marital status, race, Hispanic
or Latino ethnicity, and age
Unemployment
rates
Thousands of
persons
Jan.
2005
Unemployment
rates
Thousands of
persons
Jan.
2005
Jan.
2006
5.3
3.0
6.1
9.6
3,598
1,188
779
1,630
3,399
1,117
783
1,499
5.2
3.3
5.6
8.8
5.4
3.6
5.8
9.5
4.8
2.9
5.5
8.9
2,456
955
559
942
2,379
915
528
936
4.5
3.1
5.1
7.1
718
160
108
450
12.4
5.7
10.9
20.4
9.2
4.6
9.2
14.6
861
135
152
574
814
114
226
474
9.8
5.0
7.0
14.6
148
83
20
45
115
58
9
47
4.3
3.8
6.8
4.7
3.2
2.6
2.6
5.0
123
62
29
32
93
44
16
33
4.2
3.3
7.3
4.7
780
345
91
344
745
291
84
369
6.7
5.4
6.5
9.1
6.1
4.4
5.3
9.4
551
205
103
243
558
218
94
246
7.3
5.6
6.3
10.4
Total, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
3,278
1,663
608
1,008
2,835
1,339
610
885
4.9
3.7
6.5
8.0
4.1
2.9
6.2
6.9
2,504
1,077
722
706
2,408
1,036
745
627
4.3
3.1
5.3
7.1
White, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
2,435
1,373
433
629
2,215
1,102
458
655
4.3
3.5
5.7
6.5
3.9
2.8
5.6
6.6
1,721
873
515
333
1,719
845
501
373
3.7
3.0
4.8
5.0
Black or African American, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
621
186
135
299
457
156
104
197
9.6
5.7
10.6
16.0
7.0
4.5
9.1
9.9
591
122
143
325
548
107
217
223
8.0
4.7
6.8
12.2
Asian, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
126
83
20
23
72
54
9
9
4.1
3.9
7.1
3.7
2.3
2.4
2.7
1.5
106
58
28
19
72
42
13
17
4.0
3.2
7.2
4.8
Hispanic or Latino ethnicity, 25 years and over
Married, spouse present
Widowed, divorced, or separated
Never married '.
536
309
84
143
521
276
84
161
5.7
5.1
6.3
6.8
5.2
4.3
5.5
7.5
377
183
90
103
377
183
87
108
6.1
5.4
5.8
8.3
Jan.
2005
Jan.
2006
Total, 16 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
4,846
1,747
633
2,466
4,209
1,407
623
2,179
6.2
3.7
6.6
11.0
White, 16 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
3,567
1,439
452
1,676
3,226
1,160
464
1,602
Black or African American, 16 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
957
191
140
Asian, 16 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
Hispanic or Latino ethnicity, 16 years and over
Married, spouse present
Widowed, divorced, or separated
Never married
Jan.
2006
Jan.
2005
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 2006, data reflect revised population controls used in the household survey.
56
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-30. Unemployed persons by occupation and sex
Thousands of
persons
Occupation
Unemployment rates
Total
Total
Men
Jan.
2006
3,444
7,608
5.7
5.1
6.2
5.3
5.2
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
1,215
482
327
156
733
118
72
58
70
36
182
134
1,078
424
62
94
2.4
2.3
2.2
2.7
2.5
3.5
2.5
4.0
3.1
2.3
2.1
4.7
.9
2.1
2.0
1.9
2.2
2.2
2.2
2.0
2.6
2.9
1.1
2.1
4.6
1.3
2.4
2.3
2.0
3.2
2.5
2.9
2.4
3.8
4.3
1.0
2.3
3.8
.7
2.1
2.0
2.0
2.2
2.2
2.0
2.1
3.1
2.7
.1
2.1
5.9
.5
2.4
2.5
2.6
2.3
2.4
5.4
3.5
4.2
2.3
3.5
2.1
5.6
1.0
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
1,763
155
123
707
532
245
1,549
179
94
595
457
224
7.3
4.9
4.1
8.8
10.1
5.3
6.4
5.5
3.2
7.7
8.6
4.6
7.6
5.6
3.6
7.9
11.3
5.6
6.6
8.8
2.8
7.6
8.7
4.8
7.1
4.8
6.0
9.5
8.6
5.2
Sales and office occupations
Sales and related occupations
Office and administrative support occupations
1,982
1,031
1,761
949
812
5.3
5.6
5.1
4.7
5.5
4.0
5.3
4.5
6.7
4.1
3.9
4.4
5.3
6.7
4.5
Natural resources, construction, and maintenance occupations
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
1,487
166
1,082
240
1,275
161
915
199
9.4
17.2
11.4
4.4
7.8
15.9
9.1
3.7
9.2
14.9
11.4
4.5
7.4
13.8
8.9
3.7
13.6
26.7
14.0
3.0
Production, transportation, and material moving occupations ...
Production occupations
Transportation and material moving occupations
1,414
721
1,365
665
700
7.3
7.1
7.5
7.1
6.6
7.6
6.8
6.5
7.2
6.5
5.5
7.3
8.8
8.6
9.4
542
363
106
72
535
334
94
107
Total, 16 years and over 1
No previous work experience
16 to 19 years
20 to 24 years
25 years and over
950
1
296
128
654
75
59
38
64
17
181
126
Jan.
2005
Jan.
2005
Jan.
2005
Jan.
2005
Jan.
2006
Women
Jan.
2006
Includes a small number of persons whose last job was in the Armed Forces.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey, Dash indicates no data or data that do not meet
publication criteria.
57
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-31. Unemployed persons by industry, class of worker, and sex
Thousands of
persons
Industry and class of worker
Total, 16 years and over
Nonagricultural private wage and salary workers
Unemployment rates
Total
Men
Total
Women
Jan.
2005
Jan.
2006
8,444
7,608
5.7
5.1
6.2
5.3
6,849
6,135
6.0
5.3
6.3
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
5.2
4.9
5.3
5.7
5.2
1
6.7
29
26
4.9
3.9
4.5
3.5
1,079
868
11.8
9.0
11.9
9.2
10.7
7.7
889
778
5.3
4.6
4.8
3.9
6.6
6.1
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
547
44
93
50
88
23
118
40
27
64
450
27
66
45
44
49
91
22
53
54
5.1
9.1
4.6
3.8
5.2
4.7
4.9
7.3
4.4
5.4
4.1
5.0
3.3
3.2
2.8
8.3
3.9
4.1
7.7
4.4
4.9
6.9
4.7
4.1
5.3
4.0
4.0
7.6
4.7
5.5
3.7
6.4
3.1
3.6
1.3
6.2
3.4
3.7
9.2
2.9
Nondurable goods
Food manufacturing
Beverage and tobacco products
Textile, apparel, and leather
Paper and printing
Petroleum and coal products
Chemicals
Plastics and rubber products
341
103
13
61
63
3
52
45
328
89
11
72
56
2
70
29
5.7
6.9
4.8
6.3
5.0
2.3
4.2
7.5
5.4
5.6
4.1
8.5
4.4
1.6
5.3
4.3
4.5
5.6
1.8
5.0
4.1
.3
3.6
6.2
4.4
5.0
4.0
7.3
3.8
2.0
4.2
2.4
1,302
1,203
183
169
1,120
1,034
6.3
4.2
6.8
5.7
3.7
6.2
5.6
3.7
6.2
Transportation and utilities
Transportation and warehousing
Utilities
276
260
16
287
259
28
5.0
5.6
1.8
5.0
5.3
3.4
Information 2
Publishing, except Internet
Motion picture and sound recording industries
Broadcasting, except Internet
Telecommunications
Internet service providers and data processing services
Other information services
,
168
31
51
26
43
14
2
105
26
12
12
45
10
5.4
4.0
-
5.1
3.7
8.6
2.3
3.3
3.0
3.8
2.4
3.6
6.1
.4
Financial activities
Finance and insurance
Finance
Insurance
Real estate and rental and leasing
Real estate
Rental and leasing services
252
167
101
66
85
73
12
233
133
88
44
100
70
30
2.7
2.4
2.2
2.8
3.3
3.6
2.3
2.4
1.9
1.9
2.0
3.7
3.2
6.3
3.0
2.5
1.6
4.6
3.9
4.6
1.7
Professional and business services
Professional and technical services
Management, administrative, and waste services 2
Administrative and support services
Waste management and remediation services
958
321
638
608
24
825
229
597
582
15
7.6
4.4
6.5
3.1
7.7
4.1
12.1
12.6
11.1
11.8
12.2
12.8
6.4
4.5
7.6
5.2
Education and health services
Educational services
Health care and social assistance
Hospitals
Health services, except hospitals
Social assistance
613
144
469
83
269
117
593
113
481
98
267
116
3.4
4.1
3.2
1.7
3.5
5.8
3.2
2.9
3.2
2.0
3.4
5.5
3.4
4.3
3.0
1.7
2.6
9.5
2.8
2.6
2.9
2.2
2.8
5.8
Mining
Construction
Manufacturing
Wholesale and retail trade
Wholesale trade
Retail trade
See footnotes at end of table.
58
13.1
()
5.6
18.8
3.9
2.9
4.9
5.7
7.6
5.7
3.7
5.2
7.7
9.1
10.9
7.5
6.7
1
()
5.4
5.3
-
4.4
1.8
5.6
12.1
5.2
5.7
3.0
6.8
7.1
6.5
1
()
9.5
5.6
-
10.2
7.3
8.2
4.7
3.6
5.2
7.1
5.3
7.4
6.8
4.0
7.2
5.5
6.2
1.3
5.1
5.3
4.0
3.2
3.2
3.3
4.8
5.4
1.6
5.0
2.8
4.3
5.4
5.2
1.2
4.7
5.3
5.9
5.1
2.1
.9
1.8
4.4
1.8
10.6
6.3
4.0
5.1
-
2.6
2.0
2.0
2.1
3.7
3.4
4.8
16.9
3.5
3.3
O
(1)
(1)
.6
2.4
2.3
2.6
1.9
2.7
2.6
3.4
2.3
1.9
1.8
1.9
3.8
3.0
8.6
6.3
2.8
7.6
4.7
6.7
3.5
10.6
11.3
12.1
12.3
11.9
12.5
3.4
4.0
3.3
1.7
3.7
5.2
(1)
3.2
3.1
3.3
1.9
3.6
5.4
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-31. Unemployed persons by industry, class of worker, and sex—Continued
Thousands of
persons
Industry and class of worker
Total
Total
Jan.
2005
Leisure and hospitality
Arts, entertainment, and recreation
Accomodation and food services
Accomodation
Food services and drinking places
Other services
Other services, except private households
Repair and maintenance
Personal and laundry services
Membership associations and organizations
Private households
Agricultural and related private wage and salary workers
Government workers
Self-employed and unpaid family workers
No previous work experience
Jan.
2006
Jan.
2005
Women
Men
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
993
135
858
142
717
910
171
739
113
626
8.7
7.2
9.0
9.0
9.0
8.1
8.9
8.0
7.7
8.0
7.7
8.5
7.5
7.1
7.6
7.8
11.1
7.0
7.1
. 6.9
9.6
6.0
10.2
10.6
10.2
290
236
100
54
83
53
308
205
86
63
56
102
4.7
4.5
6.1
3.6
4.0
6.2
4.9
3.8
4.6
4.3
2.8
10.9
5.4
5.2
6.9
3.4
3.7
10.6
4.5
4.3
4.7
4.8
3.3
14.3
4.1
3.6
153
555
346
1542
140
457
341
535
13.2
2.6
3.2
11.5
2.2
3.2
12.7
2.7
3.9
9.9
2.3
3.7
15.5
2.6
2.1
1
Data not shown where base is less than 75,000.
Includes other industries, not shown separately.
NOTE: Beginning in January 2006, data reflect revised population controls
3.7
4.2
5.7
used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
2
Unemployment rates
59
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-32.
Unemployed persons by reason for unemployment, sex, and age
(Numbers in thousands)
Reason
Total,
16 years
and over
Both sexes,
16to19
years
Women,
20 years
and over
Men,
20 years
and over
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
8,444
4,771
1,473
3,299
2,360
938
820
2,310
542
7,608
3,990
1,319
2,671
1,861
810
831
2,252
535
4,218
2,944
974
1,970
1,381
589
388
778
108
3,648
2,379
893
1,486
965
521
356
797
115
3,136
1,638
420
1,218
919
299
379
1,049
70
2,933
1,434
349
1,085
844
241
396
1,017
1,090
190
78
111
61
50
54
483
363
100.0
56.5
17.4
39.1
9.7
27.4
6.4
100.0
52.4
17.3
35.1
10.9
29.6
7.0
100.0
69.8
23.1
46.7
9.2
18.4
2.6
100.0
65.2
24.5
40.7
9.8
21.9
3.2
100.0
52.2
13.4
38.8
12.1
33.5
2.2
100.0
48.9
11.9
37.0
13.5
34.7
2.9
100.0
17.4
7.2
10.2
4.9
44.3
33.3
3.2
.6
1.6
.4
2.7
.6
1.5
.4
3.9
.5
1.0
.1
3.1
.5
1.0
.2
2.5
.6
1.6
.1
2.2
.6
1.5
.1
2.9
.8
7.4
5.5
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
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
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey.
60
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
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
6,023
3,515
1,254
2,261
1,656
605
596
1,570
341
5,605
3,065
1,143
1,922
1,346
576
612
1,544
383
1,818
974
177
797
520
277
140
544
160
1,532
730
135
595
420
174
165
538
100
271
112
4
108
94
14
42
98
19
208
93
12
81
48
33
23
68
23
1,331
852
278
574
376
198
73
314
91
100.0
58.4
20.8
37.5
9.9
26.1
5.7
100.0
54.7
20.4
34.3
10.9
27.6
6.8
100.0
53.6
9.8
43.8
7.7
29.9
8.8
100.0
47.6
8.8
38.8
10.7
35.1
6.5
100.0
41.3
1.6
39.7
15.6
36.1
7.0
100.0
44.9
5.9
39.0
11.0
32.8
11.3
100.0
64.0
20.9
43.1
5.5
23.6
6.9
2.9
.5
1.3
.3
2.5
.5
1.3
.3
5.9
.8
3.3
1.0
4.4
1.0
3.2
.6
1.8
.7
1.5
.3
1.4
.3
1.0
.4
4.4
.4
1.6
.5
Jan.
2005
Jan.
2006
Jan.
2005
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
PERCENT DISTRIBUTION
TotaJ 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
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 2006, data reflect revised population controls used in the household survey.
61
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-34. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment
(Percent distribution)
January 2006
Duration of unemployment
Total unemployed
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
7,608
3,990
1,319
2,671
1,861
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
New entrants
3,648
2,379
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
2,933
1,434
Both sexes, 16 to 19 years
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
1,028
Percent
810
831
2,252
535
893
1,486
965
521
356
797
115
349
1,085
844
241
396
1,017
86
177
78
99
52
48
79
438
334
Less than
5 weeks
5to14
weeks
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
37.2
38.9
53.8
31.6
25.4
45.7
42.0
34.1
30.3
32.0
33.8
38.7
31.4
32.8
28.0
28.4
29.2
36.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
37.1
39.4
50.8
32.5
26.6
43.3
45.0
30.1
15.5
31.3
34.3
41.9
29.8
30.9
27.6
23.5
25.5
34.7
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
35.5
36.2
58.2
29.2
23.4
49.2
37.2
34.1
30.5
31.7
32.6
32.1
32.7
34.5
26.4
31.2
29.5
45.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
42.6
54.9
68.9
44.0
35.1
36.4
31.1
40.6
1
(O
)
52.6
41.4
35.4
(J)
(1
35.9
35.3
34.1
Total
30.8
27.3
7.5
15 to 26
weeks
15.0
13.0
3.7
27 weeks
and over
15.8
14.3
3.8
37.1
41.7
26.3
29.6
36.7
33.7
17.6
20.8
10.3
18.1
17.7
14.0
19.5
21.0
16.0
11.5
19.0
19.7
31.5
26.3
13.2
11.0
18.4
15.3
7.3
4.4
2.9
37.8
42.4
29.1
31.5
44.5
49.8
15.0
17.8
18.3
17.4
11.8
9.9
22.7
24.6
19.2
13.1
27.1
38.0
32.9
31.2
17.3
17.1
15.6
14.2
9.7
2.6
38.1
42.0
24.4
31.6
36.4
24.5
21.7
24.5
12.0
20.1
17.6
22.2
15.1
8.7
6.2
—
15.4
(J)
(1)
11.6
23.3
30.5
5.5
—
11.0
(1 )
( )
7.2
18.8
17.0
7.1
16.4
17.6
12.4
11.5
18.9
19.0
7.1
2.5
—
4.4
|!|
4.4
4.5
13.5
1
Data not shown where base is less than 75,000.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
A-35. Unemployed total and full-time workers by duration of unemployment
Total
Duration of unemployment
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
Average (mean) duration, in weeks
Median duration, in weeks
Full-time workers
Percent distribution
Thousands of persons
Thousands of persons
Percent distribution
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
8,444
2,948
2,527
1,716
811
2,969
1,269
1,700
681
1,019
7,609
2,833
2,433
1,673
760
2,343
1,143
1,200
509
690
100.0
34.9
29.9
20.3
9.6
35.2
15.0
20.1
8.1
12.1
100.0
37.2
32.0
22.0
10.0
30.8
15.0
15.8
6.7
9.1
6,978
2,204
2,136
1,431
705
2,638
1,099
1,539
620
919
6,265
2,198
2,010
1,407
603
2,057
1,004
1,053
460
593
100.0
31.6
30.6
20.5
10.1
37.8
15.7
22.1
8.9
13.2
1000
35.1
18.5
9.2
16.0
8.3
19.7
10.0
16.7
8.7
321
22.5
9.6
32 8
160
16.8
7.3
9.5
.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
62
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-36. Unemployed persons by age, sex, race, Hispanic or Latino ethnicity, marital status, and duration of unemployment
January 2006
Weeks of unemployment
Thousands of persons unemployed
Sex, age, race, Hispanic
or Latino ethnicity, and
marital status
Total
15 weeks and over
Less
than
5 to 14
weeks
5 weeks
Total
15 to 26
weeks
27 weeks
and over
Average
(mean)
duration
AGE AND SEX
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
7,608
1,028
1,338
1,664
1,454
1,256
690
181
2,833
438
559
603
526
402
237
69
2,433
361
431
560
459
392
181
50
2,343
228
348
501
468
462
272
62
1,143
156
196
268
229
191
85
18
1,200
73
153
233
239
271
187
44
16.0
11.2
13.1
15.4
15.8
20.1
22.8
16.9
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
4,209
561
813
896
730
720
370
119
1,600
246
314
345
294
231
122
48
1,343
199
256
298
232
231
103
24
1,266
116
244
253
203
258
145
47
562
82
118
112
99
96
42
12
704
34
126
141
105
162
102
35
16.6
10.9
15.1
16.1
14.6
21.0
23.9
19.2
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
3,399
467
525
767
724
536
320
61
1,232
192
245
258
231
171
114
20
1,091
162
175
262
227
160
78
26
1,076
112
105
248
265
204
128
15
581
74
77
White, 16 years and over
Men
Women
5,605
3,226
2,379
2,191
1,298
1,870
1,088
893
781
1,545
839
706
747
379
368
798
460
337
14.7
14.9
14.3
Black or African American, 16 years and over ...
Men
Women
1,532
718
814
472
220
252
434
178
255
627
320
307
320
139
182
307
181
126
20.0
22.5
17.8
208
115
93
57
21
36
57
33
24
94
61
33
40
21
19
54
40
14
21.1
25.7
15.5
1,303
745
558
511
311
200
488
285
203
304
148
156
151
63
87
154
85
68
13.2
12.8
13.9
1,407
623
420
221
702
473
178
616
174
72
316
299
106
299
18.4
16.7
15.4
228
493
390
266
421
198
128
254
191
138
166
16.8
16.3
13.4
156
131
95
43
5
39
27
92
134
110
85
9
15.2
11.6
9.9
14.5
16.9
18.9
21.4
(1)
RACE AND HISPANIC OR LATINO ETHNICITY
Asian, 16 years and over
Men
Women
Hispanic or Latino ethnicity, 16 years and over...
Men
Women
MARITAL STATUS
Men, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married
2,179
514
224
862
Women, 16 years and over:
Married, spouse present
Widowed, divorced, or separated
Never married
1,117
783
1,499
358
289
585
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 2006, data reflect revised population controls used in the household survey.
63
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-37. Unemployed persons by occupation, industry, and duration of unemployment
January 2006
Weeks of
unemployment
Thousands of persons unemployed
Occupation and industry
Total
Less
than
5 weeks
15 weeks and over
5 to 14
weeks
Total
15 to 26
weeks
27 weeks
and over
Average
(mean)
duration
OCCUPATION
Management, professional, and related occupations .
Management, business, and financial operations
occupations
Professional and related occupations
1,078
406
295
377
151
226
17.4
424
654
145
261
136
158
143
234
58
94
85
141
18.1
17.0
Service occupations
1,549
577
509
463
244
219
15.4
Sales and office occupations
Sales and related occupations
Office and administrative support occupations .
1,761
949
812
645
397
248
536
259
277
580
292
287
337
168
169
242
124
118
15.2
14.4
16.2
Natural resources, construction, and maintenance
occupations
Farming, fishing, and forestry occupations
Construction and extraction occupations
Installation, maintenance, and repair occupations
1,275
161
915
199
491
51
383
57
488
86
331
70
24
201
71
132
14
91
26
165
10
109
45
13.8
10.3
13.2
18.9;
Production, transportation, and material moving occupations .
Production occupations
Transportation and material moving occupations
1,365
665
700
538
255
283
388
179
209
440
231
209
197
106
91
243
125
117
16.5
17.0
16.1
150
52
71
27
17
10
10.9
26
9
11
6
4
1
Construction
869
377
310
183
96
87
11.8
Manufacturing
Durable goods
Nondurable goods .
778
450
328
253
135
118
242
137
105
284
179
105
116
71
45
168
108
18.6
20.3
16.3
1,206
506
340
360
171
INDUSTRY 1
Agriculture and related industries
Mining
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
No previous work experience
312
146
105
17
248
830
797
945
308
69
300
277
372
101
115
535
27
163
78
21
87
278
242
326
93
43
193
88
67
92
251
278
247
114
44
180
41
39
49
151
121
146
57
17
75
60
188
47
28
43
101
157
101
57
27
(2)
16.1
13.5
24.6
17.4
13.9
17.9
13.0
19.1
17.5
21.4
105
1
Includes wage and salary workers only.
Data not shown where base is less than 75,000.
NOTE: Beginning in January 2006, data reflect revised population controls used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
2
64
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-38. Persons not in the labor force by desire and availability for work, age, and sex
(In thousands)
Category
Jan.
2005
Total not in the labor force
Do not want a job now 1
Want a job 1
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 ...
Reasons other than discouragement3
Family responsibilities
In school or training
Ill health or disability
Other 1
Jan.
2006
16 to 24
years
Jan.
2006
Jan.
2005
25 to 54
years
Jan.
2005
Jan.
2006
55 years
and over
Jan.
2005
Jan.
2006
Women
Men
Jan.
2005
Jan.
2006
Jan.
2005
77,712 78,463 15,046 15,393 21,567 21,692 41,099 41,378 29,914 30,122 47,798
72,576 73,369 13,295 13,762 19,288 19,279 39,993 40,327 27,481 27,829 45,095
5,136 5,095 1,752 1,631 2,279 2,413 1,106 1,051 2,433 2,293 2,703
2,827 2,975
737 1,244 1,276 1,583
950
704
1,172 1,299
2,309 2,120
802
313 1,1.89 1,016 1,120
401
1,106 1,114
476
505
209
297
47
188
208
264
229
165
68
1,804 1,644
593
267
527
828
823
981
334
850
878
515
1,289
159
259
174
697
396
1,248
182
240
147
680
142
450
31
220
17
183
1
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
111
416
30
195
27
163
275
603
111
39
&0
372
206
645
135
45
71
394
98
236
18
79
188
16
77
48
122
142
338
643
42
143
95
363
216
613
39
128
81
365
177
645
117
116
79
334
discrimination.
NOTE: Beginning in January 2006, data reflect revised population controls
used in the household survey. Dash indicates no data or data that do not meet
publication criteria.
2
Sex
Age
Total
65
HOUSEHOLD DATA
NOT SEASONALLY ADJUSTED
A-39. Multiple Jobholders by selected demographic and economic characteristics
(Numbers in thousands)
Both sexes
Characteristic
Number
Men
Rate
1
Number
Women
Rate
1
Number
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
Jan.
2005
Jan.
2006
7,225
233
6,992
737
6,255
5,272
983
841
142
7,428
228
7,200
755
6,446
5,351
1,095
944
150
5.2
4.3
5.2
5.5
5.2
5.4
4.4
4.7
3.0
5.3
4.1
5.3
5.6
5.3
5.4
4.6
5.0
2.9
3,674
83
3,591
331
3,260
2,735
526
434
91
3,803
95
3,707
343
3,364
2,758
606
527
80
5.0
3.1
5.1
4.8
5.1
5.2
4.4
4.7
3.5
5.0
3.5
5.1
4.9
5.1
5.2
4.7
5.3
2.7
3,551
150
3,401
406
2,994
2,537
457
407
50
3,626
132
3,493
412
3,081
2,593
488
417
71
6,046
714
257
567
6,153
826
262
488
5.3
4.9
4.2
3.2
5.3
5.4
4.1
2.6
3,052
367
133
335
3,170
387
155
269
4.9
5.4
4.1
3.1
5.0
5.5
4.5
2.3
2,994
348
125
232
2,983
440
107
219
4,023
1,348
1,854
4,120
1,308
2,001
5.0
6.1
5.0
5.1 2,340
466
5.7
5.3 -
2,441
405
957
5.2
5.2
4.4
5.4
4.3
4.7
1,683
882
1,679
903
1,044
3,782
1,612
284
1,497
3,953
1,682
289
1,468
2,117
548
179
809
2,211
574
191
1,665
1,064
104
1,743
1,108
99
662
Rate1
AGE
Total, 16 years and over2
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
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 of 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(s), 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 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 2006, data reflect revised population controls used in the
household survey. Dash indicates no data or data that do not meet publication
criteria.
66
NCS National Wage Da
Obtain the latest NCS national data on occupational wages.
National Compensation Survey:
Occupational Wages in the United States, July 2004
BLS Bulletin 2576
This bulletin contains occupational hourly earnings and weekly hours for selected worker
characteristics, establishment characteristics, and geographical areas.
National Compensation Survey:
Occupational Wages in the Nine Census Divisions, 2004 (Web-only products)
New England, June 2004
Middle Atlantic, July 2004
East North Central, July 2004
West North Central, July 2004
South Atlantic, June 2004
East South Central, June 2004
West South Central, June 2004
Mountain, June 2004
Pacific, July 2004
Electronic files of these surveys are available on the Internet at:
http://www.bls.gov/ncs/ocs/compub.htm
I
For more information on available National Compensation Surveys please contact:
Bureau of Labor Statistics
Division of Compensation Data Analysis and Planning
2 Massachusetts Avenue, NE., Room 4175
Washington, DC 20212-0001
Telephone: (202)691-6199
E-mail: ocltinfo@bls.gov
To purchase the latest BLS national wage data bulletins, write to:
New Orders
Superintendent of Documents
P.O. Box 371954
Pittsburgh, PA 15250-7954
ESTABLISHMENT DATA
HISTORICAL EMPLOYMENT
B-1. Employees on nonfarm payrolls by major industry sector, 1956 to date
(In thousands)
Service-providing
Goods-producing
Total
Total
private
Total
Natural
resources Construc- Manufaction
turing
and
mining
Total
Trade,
transportation
and
utilities
Information
Financial
activities
ProfesEducation! Leisure
sional
Other
and
and
and
health hospitalityl services
business
services
services
Annual averages
52,473
52,959
51,426
53,374
54,296
54,105
45,087
45,235
43,480
45,182
45,832
45,399
19,799
19,669
18,319
19,163
19,182
18,647
859
864
801
789
771
728
3,082
3,007
2,862
3,050
2,973
2,908
15,858
15,798
14,656
15,325
15,438
15,011
32,674
33,290
33,107
34,211
35,114
35,458
10,921
10,942
10,656
10,960
11,147
11,040
1,778
1,780
1,674
1,718
1,728
1,693
2,299
2,348
2,386
2,454
2,532
2,590
3,437
3,504
3,449
3,591
3,694
3,744
2,593
2,676
2,695
2,822
2,937
3,030
3,242
3,267
3,243
3,365
3,460
3,468
1,018
1,050
1,058
1,107
1,152
1,188
55,659
56,764
58,391
60,874
64,020
65,931
68,023
70,512
71,006
71,335
46,655
47,423
48,680
50,683
53,110
54,406
56,050
58,181
58,318
58,323
19,203
19,385
19,733
20,595
21,740
21,882
22,292
22,893
22,179
21,602
709
694
697
694
690
679
671
683
677
658
2,997
3,060
3,148
3,284
3,371
3,305
3,410
3,637
3,654
3,770
15,498
15,631
15,888
16,617
17,680
17,897
18,211
18,573
17,848
17,174
36,455
37,379
38,658
40,279
42,280
44,049
45,731
47,619
48,827
49,734
11,215
11,367
11,677
12,139
12,611
12,950
13,334
13,853
14,144
14,318
1,723
1,735
1,766
1,824
1,908
1,955
1,991
2,048
2,041
2,009
2,656
2,731
2,811
2,878
2,961
3,087
3,234
3,404
3,532
3,651
3,885
3,990
4,137
4,306
4,517
4,720
4,918
5,156
5,267
5,328
3,172
3,288
3,438
3,587
3,770
3,986
4,191
4,428
4,577
4,675
3,557
3,639
3,772
3,951
4,127
4,269
4,453
4,670
4,789
4,914
1,243
1,288
1,346
1,404
1,475
1,558
1,638
1,731
1,789
1,827
73,798
76,912
78,389
77,069
79,502
82,593
86,826
89,932
90,528
91,289
60,333
63,050
64,086
62,250
64,501
67,334
71,014
73,864
74,154
75,109
22,299
23,450
23,364
21,318
22,025
22,972
24,156
24,997
24,263
24,118
672
693
755
802
832
865
902
1,008
1,077
1,180
3,957
4,167
4,095
3,608
3,662
3,940
4,322
4,562
4,454
4,304
17,669
18,589
18,514
16,909
17,531
18,167
18,932
19,426
18,733
18,634
51,499
53,462
55,025
55,751,
57,477
59,620
62,670
64,935
66,265
67,172
14,788
15,349
15,693
15,606
16,128
16,765
17,658
18,303
18,413
18,604
2,056
2,135
2,160
2,061
2,111
2,185
2,287
2,375
2,361
2,382
3,784
3,920
4,023
4,047
4,155
4,348
4,599
4,843
5,025
5,163
5,523
5,774
5,974
6,034
6,287
6,587
6,972
7,312
7,544
7,782
4,863
5,092
5,322
5,497
5,756
6,052
6,427
6,767
7,072
7,357
5,121
5,341
5,471
5,544
5,794
6,065
6,411
6,631
6,721
6,840
1,900
1,990
2,078
2,144
2,244
2,359
2,505
2,637
2,755
2,865
89,677
90,280
94,530
97,511
99,474
102,088
105,345
108,014
109,487
108,374
73,695
74,269
78,371
80,978
82,636
84,932
87,806
90,087
91,072
89,829
22,550
22,110
23,435
23,585
23,318
23,470
23,909
24,045
23,723
22,588
1,163
997
1,014
974
829
771
770
750
765
739
4,024
4,065
4,501
4,793
4,937
5,090
5,233
5,309
5,263
4,780
17,363
17,048
17,920
17,819
17,552
17,609
17,906
17,985
17,695
17,068
67,127
68,171
71,095
73,926
76,156
78,618
81,436
83,969
85,764
85,787
18,457
18,668
19,653
20,379
20,795
21,302
21,974
22,510
22,666
22,281
2,317
2,253
2,398
2,437
2,445
2,507
2,585
2,622
2,688
2,677
5,209
5,334
5,553
5,815
6,128
6,385
6,500
6,562
6,614
6,558
7,848
8,039
8,464
8,871
9,211
9,608
10,090
10,555
10,848
10,714
7,515
7,766
8,193
8,657
9,061
9,515
10,063
10,616
10,984
11,506
6,874
7,078
7,489
7,869
8,156
8,446
8,778
9,062
9,288
9,256
2,924
3,021
3,186
3,366
3,523
3,699
3,907
4,116
4,261
4,249
108,726
110,844
114,291
117,298
119,708
122,776
125,930
128,993
131,785
131,826
89,940
91,855
95,016
97,866
100,169
103,113
106,021
108,686
110,996
110,707
22,095
22,219
22,774
23,156
23,410
23,886
24,354
24,465
24,649
23,873
689
666
659
641
637
654
645
598
599
606
4,608
4,779
5,095
5,274
5,536
5,813
6,149
6,545
6,787
6,826
16,799
16,774
17,021
17,241
17,237
17,419
17,560
17,322
17,263
16,441
86,631
88,625
91,517
94,142
96,299
98,890
101,576
104,528
107,136
107,952
22,125
22,378
23,128
23,834
24,239
24,700
25,186
25,771
26,225
25,983
2,641
2,668
2,738
2,843
2,940
3,084
3,218
3,419
3,631
3,629
6,540
6,709
6,867
6,827
6,969
7,178
7,462
7,648
7,687
7,807
10,970
11,495
12,174
12,844
13,462
14,335
15,147
15,957
16,666
16,476
11,891
12,303
12,807
13,289
13,683
14,087
14,446
14,798
15,109
15,645
9,437
9,732
10,100
10,501
10,777
11,018
11,232
11,543
11,862
12,036
4,240
4,350
4,428
4,572
4,690
4,825
4,976
5,087
5,168
5,258
130,341
129,999
131,435
133,463
108,828
108,416
109,814
111,661
22,557
21,816
21,882
22,133
583
572
591
625
6,716
6,735
6,976
7,277
15,259
14,510
14,315
14,231
107,784
108,182
109,553
111,330
25,497
25,287
25,533
25,908
3,395
3,188
3,118
3,066
7,847
7,977
8,031
8,142
15,976
15,987
16,395
16,882
16,199
16,588
16,953
17,342
11,986
12,173
12,493
12,802
5,372
5,401
5,409
5,386
Monthly data, seasonally adjusted
132,471
132,736
132,876
133,104
133,210
133,376
133,617
133,792
133,840
133,877
134,231
134,371
110,756
110,995
111,129
111,336
111,437
111,590
111,795
111,941
111,985
112,025
112,351
112,496
21,988
22,052
22,077
22,119
22,126
22,133
22,131
22,146
22,143
22,179
22,264
22,273
605
610
616
620
620
623
624
627
631
636
641
646
7,115
7,166
7,193
7,243
7,255
7,277
7,283
7,306
7,325
7,347
7,409
7,414
14,268
14,276
14,268
14,256
14,251
14,233
14,224
14,213
14,187
14,196
14,214
14,213
110,483
110,684
110,799
110,985
111,084
111,243
111,486
111,646
111,697
111,698
111,967
112,098
25,724
25,787
25,822
25,861
25,897
25,908
25,976
25,985
25,944
25,945
26,006
26,018
3,068
3,063
3,067
3,072
3,065
3,062
3,061
3,065
3,071
3,058
3,064
3,066
8,091
8,097
8,096
8,100
8,101
8,114
8,136
8,155
8,172
8,201
8,217
8,224
16,638
16,711
16,745
16,780
16,794
16,844
16,898
16,932
16,997
16,991
17,061
17,129
17,176
17,188
17,211
17,241
17,291
17,333
17,368
17,413
17,451
17,440
17,481
17,503
12,673
12,703
12,722
12,770
12,778
12,802
12,833
12,860
12,826
12,840
12,881
12,896
5,398
5,394
5,389
5,393
5,385
5,394
5,392
5,385
5,381
5,371
5,377
5,387
134,564
112,690
22,331
651
7,460
14,220
112,233
26,037
3,064
8,245
17,153
17,542
12,922
5,396
1
Data include Alaska and Hawaii beginning in 1959. This inclusion resulted in an increase
ofp212,000 (0.4 percent) in the nonfarm total for the March 1959 benchmark month.
= preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels and updated
seasonal adjustment factors. Unadjusted data from April 2004 forward and seasonally
data from January 2001 forward are subject to revision. See article in this issue for
for additional information.
68
ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by major industry
.
.
sector, 1964 to date
Total private
Year and
month
Weekly
hours
Hourly
earnings
Natural resources
and mining
Goods-producing
We~kly
earnings
Weekly
hours
Weekly
earnings
Ho,:,rly
earnings
Weekly
hours
Construction
Hourly
earnings
Weekly
earnings
Weekly
hours
Hourly
earnings
Weekly
earnings
Annual averages
1964
1965
1966
1967
1968
1969
.................
.................
.................
.................
.................
.................
38.5
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
$2.5<1
2.63
2.74
2.87
3.07
3.29
$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
122.42
129.92
138.30
148.18
165.12
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
3.52
3.79
4.06
4.34
4.69
5.11
5.49
5.94
6.48
7.04
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
44.7
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
1980 .................
1981 .................
1982 .................
1983 .................
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
7.66
8.41
9.00
9.32
9.67
10.01
10.20
10.39
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
451.77
464.13
478.26
497.13
1990 .................
1991 .................
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
11.64
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
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
498.82
519.58
528.62
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
38.0
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
571.57
588.48
609.48
629.75
655.11
2000 .................
2001 .................
2002 .................
2003 .................
2004 .................
2005 P.................
34.3
34.0
33.9
33.7
33.7
33.8
14.00
14.53
14.95
15.35
15.67
16.11
480.41
493.20
506.07
517.30
528.36
543.62
40.7
39.9
39.9
39.8
40.0
40.1
15.27
15.78
16.33
16.80
17.19 I
17.60
621.86
630.04
651.61
669.13
688.17
705.25
44.4
44.6
43.2
43.6
44.5
45.6
16.55
17.00
17.19
17.56
18.07
18.70
734.92
757.92
741.97
765.94
803.82
852.43
39.2
38.7
38.4
38.4
38.3
38.6
17.48
18.00
18.52
18.95
19.23
19.46
685.78
695.89
711.82
726.83
735.55
750.60
i
.
_.
Monthlll data, not seasonally adjusted
2005:
January ...........
February .........
March .............
April ................
May ................
June ...............
July .................
August ............
September ......
October ...........
November .......
December P.......
33.6
33.5
33.4
33.6
33.9
33.8
33.8
33.9
33.9
34.1
33.8
33.7
$15.99
15.95
15.96
16.01
16.03
15.97
16.05
16.06
16.22
16.35
16.30
16.36
$537.26
534.33
533.06
537.94
543.42
539.79
542.49
544.43
549.86
557.54
550.94
551.33
39.5
39.4
39.6
39.9
40.0
40.2
39.7
40.3
40.6
40.6
40.6
40.4
$17.31
17.34
17.37
17.48
17.52
17.57
17.64
17.71
17.78
17.82
17.76
17.81
$683.75
683.20
687.85
697.45
700.80
706.31
700.31
713.71
721.87
723.49
721.06
719.52
45.1
44.6
44.9
45.4
45.9
45.7
45.5
46.4
46.3
46.4
45.2
45.5
$18.52
18.44
18.33
18.65
18.56
18.57
18.70
18.76
18.93
19.01
18.90
18.90
$835.25
822.42
823.02
846.71
851.90
848.65
850.85
870.46
876.46
882.06
854.28
859.95
36.8
37.0
37.8
38.7
38.9
39.2
38.8
39.3
39.4
39.1
39.2
38.1
$19.10
19.18
19.24
19.33
19.29
19.36
19.56
19.59
19.69
19.75
19.61
19.67
$702.88
709.66
727.27
748.07
750.38
758.91
758.93
769.89
775.79
772.23
768.71
749.43
33.8
16.52
558.38
40.1
17.73
710.97
45.7
19.24
879.27
38.3
19.51
747.23
2006:
JanuaryP...........
See footnotes at end of table.
69
ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by major industry
sector, 1964 to date-Continued
Manufacturing
Year and
month
Weekly
hours
Ho~rly
earnings
Ho~rly
earnings,
excluding
overtirne
Durable goods
Weekly
earnings
Weekly
hours
Hourly
earnings
Hourly
earnings,
excluding
overtime
Nondurable goods
We~kly
earnings
Weekly
hours
Hourly
earnings
Hourly
earnings,
excluding
overtime
Weekly
earnings
Annual averages
1964
1965
1966
1967
1968
1969
.................
.................
.................
.................
.................
.................
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
2.39
2.48
2.60
2.77
2.94
$98.33
102.59
107.64
110.Q3
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
2.22
2.34
2.51
2.68
$1.99
2.05
2.13
2.25
2.41
2.57
$81.58
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
165.61
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
.................
.................
.................
.................
.................
.................
.................
.................
.................
.................
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
455.78
38.8
38.9
38.2
39.2
39.4
39.4
39.6
40.0
39.9
39.9
6.32
6.95
7.50
7.84
8.14
8.47
8.71
8.93
9.19
9.50
6.10
6.72
7.26
7.56
7.83
8.15
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 .................
1996 .................
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
39.7
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
452.83
467.88
487.04
503.99
519.91
2000 .................
2001 .................
2002 .................
2003 .................
2004 .................
2005 P.................
41.3
40.3
40.5
40.4
40.8
40.7
14.32
14.76
15.29
15.74
16.15
16.56
13.55
14.06
14.54
14.96
15.29
15.69
590.65
595.19
618.75
635.99
658.59
673.61
41.8
40.6
40.8
40.8
41.3
41.1
14.93
15.38
16.02
16.45
16.82
17.34
14.11
14.67
15.23
15.63
15.92
16.42
624.38
624.54
652.97
671.21
694.13
713.19
40.3
39.9
40.1
39.8
40.0
39.9
13.31
13.75
14.15
14.63
15.05
15.27
12.62
13.09
13.44
13.91
14.27
14.47
536.82
548.41
566.84
582.61
602.53
609.13
39.9
39.6
$14.48
14.42
14.43
14.48
14.52
14.50
14.53
14.43
14.48
14.48
14.46
14.50
$608.08
601.13
601.52
601.59
605.48
606.62
602.47
605.43
618.20
616.99
617.31
624.75
14.62
619.08
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
Monthly data, not seasonally adjusted
2005:
January ...........
February .........
March ... ;.........
April ................
May ................
June ...............
July .................
August ............
September ......
October ...........
November .......
December P.......
40.6
40.4
40.4
40.3
40.4
40.5
39.9
40.6
41.1
41.2
41.2
41.4
$16.42
16.44
16.42
16.46
16.51
16.52
16.50
16.60
16.66
16.70
16.70
16.81
$15.58
15.59
15.59
15.63
15.68
15.65
15.66
15.69
15.72
15.78
15.78
15.87
$666.65
664.18
663.37
663.34
667.00
669.06
658.35
673.96
684.73
688.04
688.04
695.93
41.0
40.9
40.8
40.7
40.9
41.0
40.3
41.1
41.6
41.7
41.7
41.9
$17.14
17.20
17.16
17.20
17.24
17.27
17.21
17.41
17.45
17.52
17.54
17.67
$16.25
16.30
16.28
16.34
16.36
16.37
16.34
16.47
16.48
16.55
16.57
16.68
$702.74
703.48
700.13
700.04
705.12
708.07
693.56
715.55
725.92
730.58
731.42
740.37
39.5
39.6
39.7
39.3
39.7
40.3
40.3
40.4
40.7
$15.24
15.18
15.19
15.23
15.29
15.28
15.33
15.25
15.34
15.31
15.28
15.35
40.8
16.77
15.93
684.22
41.1
17.58
16.69
722.54
40.2
15.40
39~6
2006:
JanuaryP...........
See footnotes at end of table.
70
ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by major industry
sector, 1964 to date—-Continued
Private
service-providing
Trade, transportation,
and utilities
Hourly
earnings
Weekly
earnings
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
39.7
39.6
39.1
38.5
38.2
37.9
$2.86
2.94
3.04
3.15
3.32
3.48
$113.15
116.42
118.86
121.28
126.82
131.89
35.5
35.3
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
3.65
3.86
4.23
4.45
4.74
5.02
5.31
5.67
6.10
6.55
33.4
33.3
33.2
33.2
33.2
33.0
32.9
32.8
32.7
32.6
6.42
6.94
7.35
7.70
7.95
8.17
8.38
8.62
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
32.5
32.4
32.5
32.5
32.7
32.6
32.6
32.8
32.8
32.7
9.71
10.05
10.33
10.60
10.87
11.19
11.57
12.05
12.59
13.07
315.49
325.31
335.46
345.03
354.97
364.14
376.72
394.77
412.78
427.30
32.7
32.5
32.5
32.4
32.3
32.4
13.60
14.16
14.56
14.96
15.26
15.71
445.00
460.32
472.88
483.89
493.30
508.63
Weekly
hours
Weekly
hours
Hourly
earnings
Financial activities
Information
Weekly
hours
Weekly
hours
Hourly
earnings
Hourly
earnings
Weekly
earnings
38.2
38.3
38.3
37.6
37.6
37.6
$4.35
4.47
4.56
4.68
4.85
5.05
$166.17
171.20
174.65
175.97
182.36
189.88
37.2
37.1
37.2
36.9
36.8
36.9
$2.29
2.38
2.47
2.58
2.75
2.92
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
36.7
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
288.51
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
7.04
7.55
7.91
8.23
8.45
8.60
8.74
8.92
9.15
9.46
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
343.76
370.62
385.21
404.72
420.90
431.07
439.71
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
8.73
9.07
9.54
33.7
33.7
33.8
34.1
34.3
34.1
34.1
34.3
34.2
33.9
9.83
10.08
10.30
10.55
10.80
11.10
11.46
11.90
12.39
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
564.98
592.68
622.40
646.52
675.32
35.5
35.5
35.6
35.5
35.5
35.5
35.5
35.7
36.0
35.8
9.99
10.42
10.86
11.36
11.82
12.28
12.71
13.22
13.93
14.47
33.8
33.5
33.6
33.6
33.5
33.4
13.31
13.70
14.02
14.34
14.58
14.93
449.88
459.53
471.27
481.14
488.42
498.59
36.8
36.9
36.5
36.2
36.3
36.5
19.07
19.80
20.20
21.01
21.40
22.08
700.89
731.11
738.17
760.81
777.05
806.11
35.9
35.8
35.6
35.5
35.5
35.9
14.98
15.59
16.17
17.14
17.52
17.94
Weekly
earnings
Annual averages
Monthly data, not seasonally adjusted
32.4
32.2
32.1
32.3
32.6
32.4
32.5
32.5
32.4
32.6
32.3
32.3
$15.65
15.59
15.59
15.62
15.64
15.53
15.62
15.61
15.79
15.95
15.90
15.97
$507.06
502.00
500.44
504.53
509.86
503.17
507.65
507.33
511.60
519.97
513.57
515.83
33.2
33.2
33.2
33.3
33.6
33.5
33.6
33.6
33.5
33.5
33.2
33.4
$14.85
14.84
14.83
14.91
14.90
14.84
14.97
14.93
15.00
15.09
15.00
14.96
$493.02
492.69
492.36
496.50
500.64
497.14
502.99
501.65
502.50
505.52
498.00
499.66
36.6
36.2
36.1
36.2
36.7
36.4
36.5
36.6
36.6
37.0
36.6
36.6
$21.77
21:60
21.62
21.86
21.88
21.78
21.98
22.09
22.40
22.80
22.45
22.68
$796.78
781.92
780.48
791.33
803.00
792.79
802.27
808.49
819.84
843.60
821.67
830.09
36.4
35.7
35.6
35.8
36.4
35.9
35.9
35.9
35.7
36.5
35.7
35.7
$17.81
17.72
17.76
17.85
17.93
17.78
17.90
17.90
18.02
18.22
18.17
18.21
32.4
16.20
524.88
33.0
15.19
501.27
36.8
23.09
849.71
36.5
18.42
See footnotes at end of table.
71
ESTABLISHMENT DATA
HISTORICAL HOURS AND EARNINGS
B-2. Average hours and earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by major industry
sector, 1964 to date-Continued
Professional and
business services
Year and
month
Weekly
hours
Hourly
earnings
Education and
health services
Weekly
earnings
Weekly
hours
Ho~rly
earnings
Leisure and
hospitality
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
$3.17
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
81.42
84.91
91.39
32.8
32.5
31.9
31.3
30.8
30.4
$1.06
1.14
1.23
1.34
1.49
1.64
$34.77
37.05
39.24
41.94
45.89
49.86
36.3
36.1
35.8
35.4
35.0
35.0
$1.14
1.25
1.37
1.49
1.62
1.81
$41.38
45.13
49.05
52.75
56.70
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
28.5
28.1
27.7
27.4
1.78
1.90
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
34.7
34.2
34.2
34.1
33.9
33.8
33.6
33.4
33.2
33.0
2.01
2.24
2.46
2.67
2.95
3.21
3.51
3.84
4.19
4.56
69.75
76.61
84.13
91.05
100.01
108.50
117.94
128.26
139.11
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
31.9
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
121.14
127.57
130.03
131.47
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
5.61
6.11
6.51
6.79
7.10
7.38
7.69
8.08
8.58
166.65
185.13
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
431.35
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
11.29
11.79
12.26
297.91
306.91
315.08
322.69
332.44
342.36
352.62
368.63
384.25
398.77
2000 .................
2001 .................
2002 .................
2003 .................
2004 .................
2005 P.................
34.5
34.2
34.2
34.1
34.2
34.2
15.52
16.33
16.81
17.21
17.48
18.07
535.07
557.84
574.66
587.02
597.56
618.27
32.2
32.3
32.4
32.3
32.4
32.6
13.95
14.64
15.21
15.64
16.15
16.72
449.29
473.39
492.74
505.69
523.78
544.77
26.1
25.8
25.8
25.6
25.7
25.7
8.11
8.35
8.58
8.76
8.91
9.14
211.79
215.19
221.26
224.30
228.65
235.27
32.5
32.3
32.0
31.4
31.0
30.9
12.73
13.27
13.72
13.84
13.98
14.33
413.41
428.64
439.76
434.41
433.04
443.06
Monthly data, not seasonally' adjusted
2005:
January .. :........
February .........
March .............
April ................
May ................
June ...............
July .................
August ............
September ......
October ...........
November .......
December P•••••••
34.1
33.9
33.9
34.1
34.5
34.2
34.2
34.2
34.3
34.6
34.3
34.2
$18.11
17.96
17.89
17.91
18.07
17.89
17.98
17.93
18.04
18.38
18.25
18.43
$617.55
608.84
606.47
610.73
62$.42
611.84
614.92
613.21
618.77
635.95
625.98
630.31
32.9
32.5
32.4
32.4
32.7
32.5
32.7
32.6
32.6
32.8
32.5
32.5
$16.46
16.46
16.56
16.57
16.59
16.63
16.80
16.76
16.87
16.90
16.94
17.03
$541.53
534.95
536.54
536.87
542.49
540.48
549.36
546.38
549.96
554.32
550.55
553.48
25.3
25.5
25.4
25.5
26.0
26.1
26.5
26.4
25.5
25.9
25.4
25.2
$9.12
9.10
9.08
9.08
9.09
9.03
9.01
9.05
9.23
9.26
9.29
9.38
$230.74
232.05
230.63
231.54
236.34
235.68
238.77
238.92
235.37
239.83
235.97
236.38
30.9
30.8
30.7
30.9
31.0
31.0
31.1
31.1
30.9
31.0
30.8
30.8
$14.22
14.23
14.28
14.29
14.35
14.25
14.24
14.29
14.39
14.45
14.46
14.52
$439.40
438.28
438.40
441.56
444.85
441.75
442.86
444.42
444.65
447.95
445.37
447.22
2006:
JanuaryP...........
34.5
18.88
651.36
32.9
17.09
562.26
25.3
9.34
236.30
31.0
14.57
451.67
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.
P= preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels. Unadjusted data
from April 2004 forward are subject to revision. See the article in this issue for additional
Information.
72
ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted
(In thousands)
2005
2006
Industry
Mar.
Jan.
Feb.
132,471
132,736
132,876 133,104
133,210 133,376 133,617 133,792
Total private .
110,756
110,995
111,129 111,336
Goods-producing....
21,988
22,052
22,077
22,119
22,126
22,133
22,131
22,146
22,143
22,179
22,264
22,273
605
66.9
537.7
124.0
207.8
72.3
205.9
610
66.7
543.1
123.3
209.4
72.5
210.4
616
68.1
547.9
124.8
208.9
72.3
214.2
620
65.3
554.5
124.4
211.1
72.9
219.0
620
64.0
556.1
125.2
211.9
72.7
219.0
623
63.7
559.7
125.3
213.9
73.5
220.5
624
63.8
559.9
126.1
212.7
74.1
221.1
627
63.4
563.1
126.2
212.6
73.7
224.3
631
62.7
567.9
126.5
212.7
74.5
228.7
636
62.1
573.8
127.4
214.5
75.1
231.9
641
62.1
579.3
128.9
215.0
75.1
235.4
646
62.2
583.3
128.3
215.3
75.5
239.7
7,115
1,675.6
934.1
741.5
7,166
1,683.3
938.7
744.6
7,193
1,685.2
943.6
741.6
7,243
1,686.5
943.2
743.3
7,255
1,686.7
946.2
740.5
7,277
1,689.1
948.3
740.8
7,283
1,691.8
950.0
741.8
7,306
1,699.8
950.7
749.1
7,325
1,697.6
952.5
745.1
7,347
1,702.4
952.8
749.6
7,409
1,722.4
963.6
758.8
7,414
1,728.4
969.8
758.6
922.3
4,517.5
928.8
4,554.3
931.0
4,576.8
940.5
4,615.7
947.1
4,621.5
961.2
4,626.6
961.0
4,629.8
961.4
4,645.1
963.9
4,663.3
965.3
4,679.2
977.1
4,709.4
973.9
4,711.9
2,192.8
2,218.6
2,235.3
2,252.6
2,271.4
2,277.5
2,277.2
2,288.4
2,308.8
2,326.0
2,339.4
2,348.6
2,324.7
2,335.7
2,341.5
2,363.1
2,350.1
2,349.1
2,352.6
2,356.7
2,354.5
2,353.2
2,370.0
2,363.3
14,268
14,276
14,268
14,256
14,251
14,233
14,224
14,213
14,187
14,196
14,214
14,213
Durable goods
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products1
Computer and peripheral
equipment
Communications equipment
Semiconductors and electronic
components
Electronic instruments
Electrical equipment and appliances
Transportation equipment
Motor vehicles and parts2.
Furniture and related products
Miscellaneous manufacturing
8,943
556.8
505.5
467.4
1,512.3
1,150.1
1,317.5
8,963
556.9
505.6
468.7
1,512.4
1,152.1
1,317.3
8,959
559.3
504.6
468.8
1,515.0
1,156.2
1,315.3
8,959
555.6
507.1
468.7
1,516.1
1,159.0
1,317.7
8,964
551.8
504.0
469.1
1,519.1
1,161.1
1,317.6
8,953
553.9
504.5
468.2
1,519.5
1,161.8
1,322.2
8,946
553.6
501.8
468.1
1,521.1
1,165.0
1,322.8
8,950
553.7
501.5
468.0
1,521.9
1,164.3
1,323.6
8,933
552.2
501.1
469.7
1,521.7
1,163.4
1,322.8
8,952
550.7
500.8
470.5
1,520.8
1,174.5
1,323.5
8,960
556.7
502.0
471.5
1,524.1
1,164.4
1,322.0
8,966
559.5
501.8
470.0
1,526.7
1,163.9
1,320.5
204.6
149.2
205.0
148.3
204.6
147.0
205.4
147.5
205.8
147.5
207.8
147.6
207.6
147.6
207.8
147.6
207.4
147.9
207.9
148.2
206.3
148.0
205.5
148.5
450.9
435.4
440.7
1,766.6
1,103.7
571.7
654.2
451.2
435.1
439.5
1,785.7
1,115.8
570.2
654.9
451.2
435.0
438.5
1,781.1
1,110.7
568.4
652.2
451.0
435.9
437.1
1,781.5
1,107.5
565.0
650.8
450.5
436.0
438.2
1,786.8
1,109.5
563.7
652.1
451.4
438.0
435.0
1,772.1
1,093.4
562.6
653.6
451.4
439.1
434.3
1,761.3
1,080.2
561.3
656.9
451.7
440.1
434.5
1,765.2
1,087.1
561.3
655.9
451.8
440.6
431.8
1,753.7
1,098.4
561.3
655.0
450.7
441.6
431.1
1,765.5
1,088.4
560.5
653.6
450.6
442.0
434.3
1,771.8
1,092.4
558.4
654.7
450.3
441.5
434.9
1,775.9
1,091.6
558.2
654.9
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
5,325
1,484.7
193.0
227.4
172.8
271.6
40.1
490.2
5,313
1,482.6
192.9
225.5
172.0
269.3
39.8
490.1
5,309
1,482.8
192.0
223.7
171.5
265.5
39.5
490.4
5,297
1,476.8
191.6
219.6
171.6
265.0
39.5
488.0
5,287
1,475.2
191.9
220.2
172.2
261.4
39.0
486.8
5,280
1,475.2
191.0
219.3
171.3
260.1
39.1
485.1
5,278
1,474.7
190.8
217.5
172.0
259.4
39.5
484.6
5,263
1,468.6
189.9
216.2
172.0
257.1
39.7
483.2
5,254
1,461.4
191.0
214.7
173.0
255.1
39.5
480.5
5,244
1,458.5
192.4
213.2
173.8
251.8
39.6
478.5
5,254
1,465.0
193.4
210.9
174.5
253.7
39.5
478.5
5,247
1,466.5
192.5
209.0
174.5
252.6
39.8
477.2
653.0
111.8
878.0
802.0
651.6
112.0
876.4
800.7
650.9
111.6
877.9
803.1
650.9
113.0
878.5
802.1
649.1
113.7
877.9
800.0
648.6
113.2
878.4
798.8
646.4
113.3
879.4
800.1
645.3
113.6
878.3
799.2
646.4
113.0
880.3
799.5
645.1
113.1
879.3
799.1
644.8
112.3
881.5
799.4
641.9
111.9
882.6
798.8
110,483 110,684
110,799
110,985 111,084 111,243 111,486 111,646
111,697
111,698
88,943
89,052
89,842
89,846
Total nonfarm .
Natural resources and mining .
Logging
Mining
Oil and gas extraction
Mining, except oil and gas1....
Coal mining
Support activities for mining .
Construction
Construction of buildings
Residential building
Nonresidential building
Heavy and civil engineering
construction
Specialty trade contractors
Residential specialty trade
contractors
Nonresidential specialty trade
contractors
Manufacturing .
Service-providing
Private service-providing .
88,768
Apr.
89,217
See footnotes at end of table.
Sept.
Oct.
133,840
133,877
134,231 134,371
111,437 111,590 111,795 111,941 111,985
112,025
112,351 112,496
May
73
89,311
June
89,457
July
89,664
Aug.
89,795
Nov.
Dec.P
111,967 112,098
90,087
90,223
ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted—Continued
(In thousands)
2006
2005
Industry
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.P
25,724
25,787
25,822
25,861
25,897
25,908
25,976
25,985
25,944
25,945
26,006
26,018
Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and
brokers
5,701.7
2,969.7
2,012.1
5,712.6
2,972.6
2,016.2
5,726.4
2,979.2
2,020.6
5,730.8
2,981.6
2,020.8
5,742.5
2,986.7
2,022.7
5,747.9
2,990.8
2,022.1
5,755.3
2,993.4
2,023.6
5,759.3
2,995.4
2,023.1
5,762.3
2,997.8
2,022.1
5,767.8
3,002.3
2,021.7
5,782.7
3,010.5
2,028.9
5,786.6
3,017.9
2,024.6
719.9
723.8
726.6
728.4
733.1
735.0
738.3
740.8
742.4
743.8
743.3
744.1
Retail trade
Motor vehicle and parts dealers1
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 1
Department stores
Miscellaneous store retailers
Nonstore retailers
5,156.7 15,198.1 15,211.1 15,233.5 15,249.4 15,256.3 15,309.8 15,312.9 15,267.0 15,259.6 15,292.9 15,302.3
1,910.4 1,913.5 1,915.5 1,918.1 1,919.9 1,918.8 1,925.9 1,927.6 1,929.4 1,921.5 1,914.3 1,914.0
1,256.2 1,257.2 1,259.7 1,262.0 1,264.1 1,262.0 1,266.5 1,266.2 1,268.9 1,260.5 1,254.5 1,253.2
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
Trade, transportation, arid utilities ,
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.1
Depository credit intermediation1...
Commercial banking
570.9
521.4
571.7
520.3
572.3
528.0
575.8
523.6
579.1
527.8
575.8
531.1
578.5
534.0
578.8
537.3
580.9
539.9
581.5
540.5
583.3
541.2
582.2
541.5
1,251.9
2,813.8
943.7
868.8
1,269.3
2,815.4
948.3
870.7
1,269.4
2,814.2
947.1
870.3
1,268.0
2,819.6
952.7
871.6
1,269.1
2,820.2
955.7
872.1
1,271.7
2,822.1
955.1
869.0
1,279.3
2,822.6
954.1
874.6
1,277.8
2,810.7
960.4
876.2
1,272.3
2,803.0
953.8
873.9
1,273.1
2,809.5
959.3
874.6
1,281.6
2,806.6
964.7
869.1
1,288.4
2,807.6
969.7
867.5
1,383.5
1,390.1
1,394.4
1,396.4
1,401.1
1,410.9
1,430.7
1,430.8
1,414.2
1,413.5
1,434.5
1,448.0
645.5
,909.4
,602.4
906.2
431.2
643.2
2,918.7
1,604.7
905.9
431.0
643.9
2,920.9
1,601.5
903.8
431.3
645.6
2,925.9
1,604.6
903.8
432.4
644.2
2,924.4
1,603.4
904.2
431.6
644.1
2,920.6
1,603.1
905.2
431.9
642.7
2,931.1
1,613.5
903.1
433.2
643.0
2,931.3
1,611.4
903.9
435.1
631.3
2,927.4
1,610.9
902.2
438.7
638.7
2,910.6
1,590.6
899.1
437.7
641.5
2,920.4
1,595.2
897.3
438.4
641.3
2,905.4
1,591.8
897.5
439.2
4,308.5
509.8
228.0
57.8
1,375.3
4,319.3
508.4
228.6
58.0
1,380.3
4,330.1
507.4
228.8
58.7
1,385.0
4,340.2
507.6
228.8
59.3
1,389.0
4,348.4
506.8
229.4
59.7
1,392.2
4,347.6
505.6
229.1
60.0
1,396.0
4,353.0
503.6
228.9
60.2
1,396.3
4,353.9
501.6
228.4
61.0
1,394.4
4,355.4
495.1
228.2
61.8
1,397.4
4,358.4
493.7
228.1
62.6
1,402.0
4,370.2
488.9
227.8
63.6
1,403.7
4,368.8
487.6
227.4
64.0
1,404.2
389.8
38.0
388.5
38.0
387.6
37.8
387.6
37.8
387.5
37.6
381.5
37.5
387.3
37.4
386.7
37.6
388.0
37.6
388.5
37.2
394.9
37.2
391.2
37.0
24.3
547.2
563.2
575.1
26.1
549.7
564.4
577.3
28.0
551.3
566.2
579.3
28.8
550.1
571.0
580.2
29.7
551.8
571.2
582.5
30.6
549.4
571.2
586.7
31.4
549.5
571.3
587.1
31.7
549.2
574.1
589.2
31.8
551.9
573.8
589.8
31.5
549.8
576.3
588.7
31.4
553.9
576.8
592.0
32.3
554.6
576.4
594.1
557.2
557.3
554.8
556.0
556.2
556.2
557.7
559.1
558.9
559.4
560.1
559.8
3,068
3,063
3,067
3,072
3,065
3,062
3,061
3,065
3,071
3,058
3,064
3,066
902.0
903.5
905.0
902.1
901.5
902.7
905.9
904.8
904.4
903.7
902.8
902.9
370.1
326.8
30.9
1,009.7
366.2
325.9
30.4
1,007.3
373.0
326.0
30.4
1,003.9
384.0
325.7
30.6
1,002.5
379.8
325.2
30.5
1,000.2
376.6
327.3
30.5
998.6
375.9
328.3
29.9
996.8
381.2
329.1
30.1
994.2
390.6
326.7
30.4
993.4
379.3
327.6
30.1
991.2
383.5
325.7
30.1
995.1
387,5
324.2
30.3
993.3
377.7
50.9
379.2
50.9
378.3
50.6
377.3
50.0
377.8
49.9
376.4
50.3
373.6
50.7
375.6
50.1
376.1
49.7
376.9
49.4
376.7
49.9
378.3
49.7
8,0911 8,0971 8,096
5,984.4 5,984.9 5,982.6
20.8
20.7
20.8
8,100
5,982.9
20.8
8,101
5,983.8
20.8
8,114
5,989.8
20.8
8,136
6,002.5
20.7
8,155
6,014.7
20.7
8,172
6,029.1
20.7
8,201
6,053.3
20.7
8,217
6,066.7
20.9
8,224
6,071.0
21.1
2,841.0
1,757.9
1,288.1
2,849.7
1,763.5
1,292.3
2,851.8
1,765.9
1,292.8
2,856.6
1,768.0
1,295.3
2,866.1
1,773.5
1,296.9
2,871.4
1,778.5
1,300.0
2,880.9
1,783.5
1,302.8
2,892.9
1,790.8
1,306.9
2,895.8
1,793.3
1,309.0
2,898.7
1,796.9
1,309.6
2,846.2
1,761.7
1,292.2
2,847.5
1,762.6
1,293.3
See footnotes at end of table.
74
ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted—Continued
(In thousands)
2006
2005
Industry
Jan.
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 nonfinancial intangible
assets
,
Professional and business services ..
Professional and technical services1....
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 services1
Temporary help services
Business support services
Services to buildings and
dwellings
Waste management and
remediation services
Education and health services
Educational services
Health care and social assistance .
Healthcare 3 .
Ambulatory health care services1.
Offices of physicians
Outpatient care centers
Home health care services
Hospitals
Nursing and residential care
facilities.1
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.
Feb.
Mar.
Apr.
May
July
Aug.
Sept.
Oct.
Nov.
Dec.P
779.6
780.4
782.7
781.7
780.7
778.4
779.6
783.4
786.2
790.5
790.7
790.9
2,254.7
2,250.4
2,244.5
2,246.4
2,245.1
2,247.0
2,249.3
2,252.9
2,255.1
2,262.1
2,271.8
2,272.7
88.3
2,106.9
1,433.8
647.1
87.2
2,112.2
1,437.6
648.5
87.1
2,113.7
1,439.5
648.1
84.3
2,117.0
1,441.9
648.2
85.4
2,116.7
1,444.9
644.5
87.0
2,124.6
1,451.5
646.2
86.8
2,133.3
1,458.8
647.4
86.3
2,139.8
1,464.8
647.8
86.2
2,143.3
1,469.0
646.8
87.1
2,147.5
1,474.7
645.1
87.5
2,150.2
1,478.4
643.9
87.6
2,153.4
1,482.9
642.5
26.0
26.1
26.1
26.9
27.3
26.9
27.1
27.2
27.5
27.7
27.9
28.0
16,638
6,911.1
1,164.3
16,711
6,936.6
1,164.8
16,745
6,949.8
1,165.2
16,780
6,966.9
1,165.0
16,794
6,977.0
1,166.2
16,844
7,000.3
1,165.6
16,898
7,024.7
1,167.5
16,932
7,043.9
1,166.9
16,997
7,062.2
1,159.5
16,991
7,074.8
1,159.2
17,061
7,087.2
1,160.0
17,129
7,119.1
1,161.6
828.9
829.3
830.0
833.3
829.8
837.3
841.3
845.5
848.9
851.0
847.5
860.1
1,277.5
1,284.0
1,287.6
1,291.5
1,295.6
1,302.0
1,307.8
1,314.6
1,324.3
1,326.1
1,335.3
1,338.5
1,174.8
1,176.7
1,178.4
1,180.3
1,182.0
1,187.1
1,189.2
1,191.7
1,195.9
1,204.4
1,204.9
1,208.7
818.7
825.3
830.1
833.9
836.2
841.4
847.6
851.0
852.9
855.5
861.4
865.7
1,747.3
7,979.5
7,644.4
3,482.6
2,462.6
762.7
1,748.7
8,026.1
7,689.6
3,507.1
2,491.0
765.2
1,750.6
8,044.4
7,708.6
3,515.1
2,493.0
764.8
1,752.5
8,060.8
7,727.2
3,532.6
2,504.6
765.6
1,753.3
8,063.2
7,732.9
3,534.9
2,503.0
764.5
1,755.6
8,087.9
7,754.3
3,550.6
2,512.0
760.8
1,757.1
8,116.0
7,778.4
3,561.5
2,523.9
759.5
1,756.6
8,131.5
7,794.6
3,582.2
2,538.7
759.4
1,754.2
8,180.5
7,846.5
3,628.2
2,573.7
757.2
1,749.9
8,165.8
7,835.6
3,617.2
2,576.2
752.7
1,743.2
8,230.5
7,897.8
3,663.7
2,616.2
754.7
1,756.5
8,253.1
7,919.0
3,682.9
2,635.2
752.8
1,700.0
1,710.5
1,713.0
1,715.9
1,718.8
1,727.2
1,738.5
1,735.3
1,735.4
1,741.1
1,755.4
1,745.6
335.1
336.5
335.8
333.6
330.3
333.6
337.6
336.9
334.0
330.2
332.7
334.1
17,211 17,241 17,291
17,451 17,440
17,481 17,503
17,176 17,188
17,368 17,413
17,333
2,817.3 2,801.8 2,804.2 2,805.8 2,812.6 2,820.6 2,820.4 2,832.4 2,844.9 2,815.9 2,820.2 2,818.8
14,358.7 14,385.8 14,407.2 14,435.5 14,478.2 14,512.8 14,547.4 14,580.3 14,605.8 14,624.5 14,661.2 14,684.3
12,182.9 12,205.6 12,220.9 12,243.8 12,276.4 12,302.8 12,334.3 12,362.1 12,382.9 12,392.7 12,423.8 12,440.3
5,040.8 5,053.3 5,061.0 5,074.4 5,089.9 5,104.7 5,121.8 5,137.7 5,145.1 5,152.9 5,172.7 5,181.6
2,070.0 2,074.3 2,074.4 2,084.3 2,095.2 2,098.9 2,104.2 2,111.8 2,115.3 2,119.8 2,128.4 2,135.8
466.2
464.3
467.8
462.7
474.7
483.4
471.2
476.5
479.3
480.6
482.4
469.5
804.1
809.4
809.0
817.1
806.5
824.3
809.6
815.1
819.6
820.5
820.8
823.5
4,305.7 4,311.7 4,317.8 4,325.5 4,333.8 4,344.6 4,353.5 I 4,361.0 4,366.8 4,371.7 4,379.2 4,385.2
2,836.4
1,575.7
2,175.8
773.9
2,840.6
1,576.3
2,180.2
775.2
2,842.1
1,577.9
2,186.3
777.3
2,843.9
1,576.6
2,191.7
777.7
2,852.7
1,577.5
2,201.8
780.4
2,853.5
1,578.8
2,210.0
787.4
2,859.0
1,579.9
2,213.1
786.6
2,863.4
1,580.9
2,218.2
785.7
2,871.0
1,582.2
2,222.9
787.8
2,868.1 .2,871.9
1,578.9 1,582.5
2,231.8 2,237.4
793.2
792.9
2,873.5
1,584.0
2,244.0
793.6
12,673
1,859.6
365.2
12,703
1,861.0
365.7
12,722
1,865.4
367.7
12,770
1,879.9
371.7
12,778
1,884.3
369.7
12,802
1,890.9
372.0
12,833
1,894.9
372.2
12,860
1,903.1
372.9
12,826
1,895.1
372.2
12,840
1,897.8
365.0
12,881
1,907.5
362.8
12,896
1,904.5
359.5
118.4
117.5
119.5
120.5
121.1
121.5
121.3
121.1
123.2
121.6
121.0
121.0
1,376.0 1,377.8 1,378.2 1,387.7 1,393.5 1,397.4 1,401.4 1,409.1 1,399.7 1,411.2 1,423.7 1,424.0
10,813.3 10,841.8 10,856.1 10,889.9 10,893.4 10,911.3 10,937.9 10,956.6 10,931.2 10,942.4 10,973.9 10,991.9
1,808.8 1,809.9 1,807.6 1,814.2 1,812.1 1,812.7 1,813.2 1,817.9 1,814.5 1,812.9 1,811.1 1,804.3
9,004.5 9,031.9 9,048.5 9,075.7 9,081.3 9,098.6 9,124.7 9,138.7 9,116.7 9,129.5 9,162.8 9,187.6
5,398
1,235.5
5,394
1,237.4
5,389
1,237.7
5,393
1,237.5
See footnotes at end of table.
June
7:5
5,385
1,237.1
5,394
1,240.9
5,392
1,240.9
5,385
1,235.6
5,381
1,230.8
5,371
1,227.1
5,377
1,232.0
5,387
1,241.1
ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry sector and selected industry detail, seasonally adjusted-—-Continued
(In thousands)
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
Jan.
Feb.
Mar.
Apr.
May
June
1,276.6
1,276.3
1,276.2
1,278.7
1,274.9
1,274.1
2,885.8
2,880.0
2,874.8
2,876.6
2,873.3
21,715
2,721
1,946.0
775.0
5,013
2,247.6
21,741
2,727
1,952.3
774.6
5,016
2,249.1
21,747
2,730
1,956.0
774.0
5,015
2,246.7
21,768
2,729
1,955.3
773.5
5,018
2,247.0
21,773
2,725
1,950.6
774.7
5,017
2,247.0
2,765.5
13,981
7,816.3
2,767.2
13,998
7,830.2
2,767.8
14,002
7,829.2
2,770.6
14,021
7,838.6
6,164.4
6,167.9
6,172.9
6,182.1
Sept.
1,271.3
1,271.7
2,879.3
2,879.6
21,786
2,727
1,951.5
775.7
5,016
2,244.4
21,822
2,726
1,950.7
775.5
5,023
2,249.0
2,770.0
14,031
7,841.5
2,771.9
14,043
7,851.1
6,189.4
6,192.3
p
Oct.
Nov.
Dec.P
1,271.3
1,270.3
1,271.1
1,270.6
2,877.9
2,879.2
2,873.2
2,873.6
2,874.8
21,851
2,725
1,950.4
774.6
5,024
2,251.5
21,855
2,725
1,949.9
774.7
5,026
2,255.1
21,852
2,724
1,949.5
774.1
5,022
2,248.1
21,880
2,728
1,953.1
774.9
5,032
2,256.6
21,875
2,713
1,941.1
772.2
5,039
2,261.6
2,773.8
14,073
7,878.0
2,772.1
14,102
7,900.9
2,771.1
14,104
7,891.9
2,773.5
14,106
7,894.9
2,775.8
14,120
7,899.3
2,777.6
14,123
7,903.0
6,195.0
6,200.6
6,212.1
6,211.5
6,220.6
6,219.7
= preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels
and updated seasonal adjustment factors. See the article in this issue
for additional information.
^ Includes 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.
Aug.
July
76
ESTABLISHMENT DATA
EMPLOYMENT
SEASONALLY ADJUSTED
B-4. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry sector and selected industry
detail, seasonally adjusted
(In thousands)
2006
2005
Industry
Total private
Goods-producing
Natural resources and mining...,
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.P
89,997
90,233
90,394
90,635
90t725
90,921
91,104
91,245
91,263
91,291
91,693
91,799
15,929
15,988
16,009
16,052
ie,077
16,093
16,091
16,120
16,131
16,177
16,278
16,281
453
457
461
465
466
471
471
475
477
481
485
488
5,422
5,477
5,494
5,534
5,552
5,568
5,570
5,591
5,606
5,627
5,690
5,676
10,054
10,054
10,054
10,053
10,059
10,054
10,050
10,054
10,048
10,069
10,103
10,117
6,169
450.2
389.1
363.7
1,121.9
734.0
6,181
450.4
387.9
364.8
1,120.8
735.5
6,186
450.9
386.7
364.9
1,124.2
738.9
6,195
449.6
388.1
364.6
1,125.5
743.3
6,205
446.4
335.3
364.4
1,126.4
746.7
6,208
447.9
387.3
364.3
1,127.5
748.0
6,204
447.5
384.4
364.4
1,127.0
751.1
6,222
447.9
384.4
364.3
1,128.5
749.3
6,218
450.0
382.9
365.6
1,128.7
749.6
6,249
449.2
382.5
366.5
1,125.6
756.9
6,274
452.6
383.5
367.5
1,134.2
750.9
6,298
455.7
383.4
367.6
1,138.9
752.4
667.4
671.6
677.0
684.1
687.5
694.9
702.2
710.7
719.1
727.7
734.9
739.1
305.1
1,264.9
898.1
304.1
302.7
1,275.4
301.7
1,285.7
299.7
1,273.0
884.4
1,261.8
898.0
300.1
1,280.1
891.2
303.0
1,297.7
903.9
1,264.6
871.6
301.7
1,288.5
904.7
300.7
1,276.2
890.2
300.9
908.0
300.5
1,279.2
901.7
300.9
1,275.8
892.6
894.2
440.2
432.0
438.5
431.9
437.3
428.3
434.0
426.0
433.8
426.7
433.6
427.9
433.0
429.3
432.8
430.3
432.3
428.3
431.8
428.4
431.0
429.1
431.4
429.1
3,885
Nondurable goods
1,174.4
Food manufacturing
Beverages and tobacco
107.1
products
183.4
Textile mills
137.8
Textile product mills
211.4
Apparel
31.4
Leather and allied products ,
368.9
Paper and paper products
Printing and related support
453.6
activities
77.6
Petroleum and coal products515.9
Chemicals
623.2
Plastics and rubber products...
3,873
1,172.5
3,868
1,173.4
3,858
1,169.1
3,854
1,168.4
3,846
1,168.0
3,846
1,166.5
3,832
1,163.0
3,830
1,159.5
3,820
1,156.0
3,829
1,162.6
3,819
1,162.2
107.5
182.0
137.4
209.9
31.0
368.8
107.8
180.0
137.9
206.1
30.9
368.9
109.0
176.4
138.5
204.5
30.6
367.3
110.9
176.9
139.5
201.3
30.3
367.1
111.8
175.6
139.4
200.4
30.3
365.1
112.2
173.9
140.1
201.5
30.7
365.0
112.7
172.6
139.9
197.0
31.0
364.5
113.1
171.3
141.8
195.4
31.1
363.4
115.7
169.8
143.1
191.4
30.9
361.4
116.1
167.8
143.2
193.9
30.8
361.6
115.6
165.9
142.2
192.5
31.1
360.3
450.3
77.4
515.0
621.1
448.3
449.6
448.9
76.7
446.9
74.5
513.9
616.3
447.5
75.7
515.2
617.4
446.3
75.1
514.6
623.8
450.3
77.0
514.2
621.4
513.3
616.4
515.7
617.7
446.1
74.7
512.8
617.6
446.8
73.7
515.1
617.8
444.2
73.1
515.2
616.2
74,068
74,245
74,385
74,583
74,648
74,828
75,013
75,125
75,132
75,114
75,415
75,518
21,580
21,637
21,679
21,734
21,774
21,815
21,873
21,895
21,822
21,824
21,908
21,917
4,507.8
4,524.8
4,538.8
4,546.1
4,561.0
4,569.7
4,577.1
4,587.0
4,593.7
4,597.6
4,616.1
4,623.4
Construction
Manufacturing
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.
Private service-providing..
Trade, transportation, and
utilities
Wholesale trade..
Retail trade
Transportation and
warehousing
76.6
77.1
513.9
618.5
|12,902.0 H2,938.0 |12,958.4 |12,988.1 [13,006.7 |13,033.6 |13,081.1 H 3,088.4 |13,008.5
3,000.7 113,050.1 h 3,056.8
3,726.0
3,731.5
3,740.3
3,756.4
3,761.9
3,767.0
3,768.1
3,771.4
3,771.3
3,776.3
3,790.6
3,787.0
Utilities
443.8
442.6
441.5
443.4
444.0
444.4
446.4
448.1
448.5
449.3
451.1
449.8
information
2,375
2,370
2,379
2,388
2,384
2,388
2,387
2,390
2,406
2,400
2,408
2,408
Financial activities-
6,042
6,051
6,048
6,049
6,047
6,064
6,081
6,091
6,100
6,125
6,148
6,158
Professional and business
services
13,538
13,608
13,655
13,698
13,709
13,766
13,817
13,857
13,906
13,907
13,999
14,044
Education and health services-
14,964
14,976
15,004
15,034
15,070
15,108
15,141
15,168
15,193
15,165
15,207
15,220
Leisure and hospitality
11,133
11,166
11,183
11,240
11,227
11,249
11,276
11,293
11,277
11,274
11,326
11,345
4,437
4,437
4,440
4,437
4,438
4,438
4,431
4,428
4,419
4,419
4,426
Other services
4,436
p
= preliminary.
NOTE: Data are currently projected from March 2005 benchmark levels and
updated seasonal adjustment factors. See the article in this issue for additional
information.
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.
77
ESTABLISHMENT DATA
DIFFUSION INDEXES
SEASONALLY ADJUSTED
B-5. Diffusion indexes of employment change
(Percent)
Jan. I
Time Span
Feb.
Mar.
Apr.
May J
July I
June
Sept. I
Aug.
Oct. J Nov. I
Dec.
Private nonfarm payrolls, 278 industries1
Over 1-month span:
2002
2003
2004
2005
2006
43.3 I
57.7 !
56.7
43.7
37.6
52.7
59.2
39.7
52.0
54.1
41.7
50.7
57.0
51.4
41.9
49.8 i
54.3
53.4
41.5
52.0
55.0
61.7
36.0
51.3
54.1
P 57.6
34.9
35.3
69.4
56.8
38.8
41.7
68.3
60.8
38.5
38.5
58.8
60.4
44.8
33.8
55.6
59.7
37.6
42.6
57.4
57.9
39.7
47.8
56.5
52.2
37.2
49.8
59.9
57.0
39.6
50.5
55.2
63.3
30.9
34.0
60.8
58.8
32.0
32.7
63.3
55.2
36.3
36.2
63.8
58.6
35.8
33.3
63.1
60.8
37.6
32.4
63.5
59.5
34.5
40.5
59.0
60.6
36.0
45.3
61.3
57.7
36.7
46.4
55.9
58.5
35.3
47.7
55.6
P 57.0
30.4
33.5
48.4
58.6
30.2
34.2
50.7
58.6
29.1
35.1
57.7
59.4
32.0
32.7
57.0
60.8
31.3
33.1
55.2
61.0
30.0
37.1
56.7
60.8
29.5
36.7
58.3
58.3
32.9
37.2
60.1
58.8
34.7
39.2
60.3
59.9
40.8
44.1
51.6 I
50.7
P 60.6
36.5
37.9
49.5
57.7
38.3
34.9
62.4
56.7
38.7
38.3
65.5
54.7
40.1
42.8
46.0
62.4 J
54.5 i
Over 3-month span:
2002
2003
2004
2005
2006
34.5
40.6
54.3
52.9
P 67.6
36.2
34.2
53.4
56.7
35.6
34.7
57.6
59.2
35.8
32.7
63.1
60.4
Over 6-month span:
2002
2003
2004
2005
2006
30.2
34.4
49.8
55.4
P 57.9
30.6
31.8
52.3
57.7
31.5
31.8
54.7
57.4
Over 12-month span:
2002
2003
2004
2005
2006
33.6
34.5
40.3
60.1
P 61.7
31.7
31.5
42.1
61.0
30.2
32.9
44.8
59.5
'.
38.8 I
I
p
p
Manufacturing payrolls, 84 industries1
Over 1-month span:
2002
2003
2004
2005
2006
19.6 |
32.7
| 44.0
39.3
P 52.4
21.4
19.6
47.6
38.7
18.5
19.6
44.6
38.7
29.2
10.7
64.9
42.3
25.0
23.2
53.6
44.6
30.4
19.0
45.8
34.5
14.9
7.7
57.7
37.5
Over 3-month span:
2002
2003
2004
2005
2006
9.5
18.5
43.5
35.7
P 56.5
9.5
11.3
42.3
39.9
11.3
12.5
43.5
42.9
17.9
8.3
53.6
39.9
Over 6-month span:
2002
2003
2004
2005
2006
7.1
11.3
28.6
36.9
P 35.7
8.3
11.3
33.3
36.9
7.7
8.3
33.3
35.1
8.3
9.5
45.8
33.3
Over 12-month span:
2002
2003
2004
2005
2006
7.1
10.7
13.1
44.6
P 40.5
6.0
6.0
14.3
44.6
6.0
6.5
13.1
41.7
6.5
6.0
20.2
40.5
1
Based on seasonally 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 employment
increasing plus one-half of the industries with unchanged
•
36.9
19.6
56.5
47.6
25.6
29.2
52.4
35.7
28.6
28.6
41.7
45.2
17.9
36.3
42.3
43.5
17.9
42.3
39.9
50.0
19.6
40.5
39.3
P 47.6
17.9
11.3
58.9
41.1
22.6
14.9
53.6
39.3
25.6
15.5
48.8
35.7
22.6
16.7
48.2
39.9
17.3
27.4
40.5
36.3
9.5
32.1
38.1
36.9
11 9
35 7
31 0
P 46 4
8.3
10.7
47.6
33.3
11.9
9.5
51.2
32.7
12.5
6.0
56.0
36.9
11.9
8.9
51.8
36.9
13.7
13.7
48.2
41.1
8.9
18.5
49.4
41.7
7.1
24.4
39.3
39.3
77
23 8
357
P 41 1
7.1
8.3
23.2
39.9
3.6
7.1
35.7
33.3
4.8
7.1
36.9
32.7
6.0
8.3
38.1
31.0
4.8
10.7
36.3
32.1
7.1
10.7
44.0
39.3
4.8
9.5
44.6
35.7
83
107
44 6
38.1
|
p
employment, where 50 percent indicates an equal balance between
industries with increasing and decreasing employment. Data have
been revised to reflect March 2005 benchmark levels and updated
seasonal adjustment factors. See the article in this issue for
additional information.
78
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
Total
Alabama
Alaska
Arizona
Arkansas
California
1,914.4
304.3
2,414.8
1,164.1
14,645.5
14,654.0
Colorado
Connecticut
Delaware
District of Columbia
Florida
2,203.4
1,664.6
2,202.4
1,661.0
429.0
673.8
7,608.6
430.9
674.6
7,643.9
Georgia
Hawaii
Idaho
Illinois
Indiana
3,906.6
591.3
591.5
5,812.7
Iowa
1,917.9
307.6
2,423.3
1,165.4
1,920.2
305.0
2,431.2
1,165.8
14,681.7
July
Aug.
Sept.
Oct.
Nov.
Dec.P
1
1,924.7 1,927.4 1,928.9 1,936.3 1,935.1 1,937.1 1,933.5 1,930.5 1,933.4|
311.3
308.7
309.1
309.8
308.5
310.2
307.0
310.2
307.8
2,438.1 2,447.1 2,456.0 2,462.7 2,478.0 2,487.4 2,496.6 2,501.2 2,508.9
1,168.3 1,168.4 1,168.2 1,172.2 1,175.1 1,175.1 1,174.3 1,174.9 1,176.6
14,702.7 14,721.0 14,736.9 14,753.5 14,791.6 14,831.4 14,814.8 14,822.4 14,854.9
1,931.6
309.9
2,523.7
1,177.1
14,879.2
2,215.9 2,218.0 2,225.6 2,228.5 2,229.2 2,234.7 2,235.21 2,236.5 2,243.6
1,666.7 1,669.6 1,669.8 1,670.3 1,670.2 1,671.2 1,670.0 1,674.3 1,675.7 1,675.3
434.4
431.5
432.5
431.9
431.6
432.5
435.3
432.1
432.6
430.4
680.4
683.6
674.5
686.3
685.5
683.1
681.7
683.0
683.1
679.4
7,679,7 7,699.3 7,712.8 7,724.0 7,771.2 7,787.8 7,817.6 7,822.8 7,840.6 7,856.7
2,212.8
1,664.2
432.7
675.3
7,662.8
2,218.0
3,892.3
587.9
591.5
5,809.8
3,905.1
591.7
3,9112
592.9
598.8
5,831.1
2,943.6
2,956.5
2,963.0
3,913.4* 3,911.3 3,903.6 3,923.2 3,939.3 3,930.0 3,945.7 3,959.4 3,970.7
605.2
604.4
602.8
600.3
595.1
605.9
607.6
596.5
594.3
612.3
613.3
613.3
613.4
607.7
615.8
619.1
612.4
602.6
5,848.8] 5,852.8 5,859.4 5,863.1 5,867.6 5,868.9 5,870.4 5,873.6 5,874.0
2,966.6 2,968.2 2,962.3 2,970.2 2,968.6 2,959.6 2,970.7 2,958.7 2,954.8 2,956.5
Kansas
Kentucky
Louisiana
Maine
1,461.8
1,334.2
1,802.7
1,916.9
616.2
1,458.5
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
1,469.1
1,341.5
1,815.1
1,933.4
618.6
1,470.4
1,344.4
1,816.7
1,932.4
618.0
1,476.6
1,345.1
1,821.2
1,933.6
618.5
1,479.0
1,341.0
1,817.3
1,930.1
618.6
1,477.3
1,338.2
1,821.1
1,935.6
620.6 i
1,478.0
1,352.3
1,822.9
1,695.6
616.5
1,483.5
1,351.3
1,822.9
1,700.4
618.1
1,484.7
1,358.9
1,822.7
1,710.0
618.3
1,490.8
1,355.2
1,823.6
1,721.6
618.7
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
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
2,546.8
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
2,554.1
3,200.8
4,380.2
2,704.5
1,138.9
2,561.0
3,200.9
4,369.0
2,707.7
1,136.9
2,573.9
3,205.9
4,363.9
2,717.6
1,136.5
2,578.7
3,214.3
4,342.2
2,724.4
1,136.1
2,571.6
3,209.8
4,352.7
2,727.8
1,136.7
2,580.0
3,208.3
4,362.5
2,725.2
1,084.4
2,578.8
3,200.3
4,349.0
2,728.1
1,095.7
2,578.4
3,200.5
4,352.8
2,723.6
1,105.6
2,575.1
3,202.2
4,362.6
2,730.5
1,103.3
Missouri
Montana
Nebraska
Nevada
New Hampshire
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
929.8
1,195.3
631.0
2,709.1
416.3
934,2
1,201,7
634,5
2,713.6 2,720.0
418.5
417.2
934.7
934.51
1,215.2 1,220.1
636.7
639.8
2,728.7
421.3
935.3
1,224.8
637.6
2,729.4
422.7
935.1
1,232.4
640.7
2,742.5 2,722.7
420.5
421.7
940.5
934.9I
1,231.6 1,238.2
642.5
644.7
2,715.6
421.3
936.3
1,246.6
640.9
2,721.7 2,729.3
424.6
427.6
937.9
937.7
New Jersey
New Mexico
New York
North Carolina
North Dakota
4,032.2
799.1
8,491.5
3,856.7
4,030.5
799.7
337.9
4,038.0 J 4,047.3 4,052.7
802,1!
807.6
804.7
8,497.8 8,506.0) 8,510.6
3,857,11 3,871.4 3,879.3
343.7
343.81
341,0;
4,056.9 4,055.6 4,058.9 4,064.5 4,061.1 4,066.4 4,069.4
8,488.8
3,846.1
338.1
4,037.2
799.4
8,489.5
3,850.8
340.2
806.1
8,526.4
3,890.2
343.1
806.1
8,527.6
3,897.0
342.4
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
5,414.6
1,483.8
1,616.2
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!
1,490.8
1,640.1
5,680.41
5,428.7
1,491.1
1,638.2
5,697.1
494.3
5,425.9
1,495.5
1,642.1
5,703.7
495.2
5,437.4 5,436.3 5,434.9 5,427.0
1,496.6 1,501.9 1,504.1 1,504.2
1,650.6 1,653.8 1,658.4 1,656.5
5,706.9 5,712.6 5,722.2 5,726.4
495.6
496.4
495.3
494.5]
South Carolina
South Dakota
Tennessee
Texas
Utah
1,832.1
384.4
2,716.4
9,530.6
1,116.1
1,835.3
385.1
2,717.4
9,553.3
1,124.4
1,834.9
385.9
2,720.6
9,553.5
1,128.7
1,832.6
387,4
2,720,51
9,563.3!
1,134.9j
1,831.5
388.41
2,725.8
9,574.4
1,137.6
1,829.3
389.8
2,722.8
9,577.7
1,137.8
1,832.1
390.6
2,722.8
9,589.0
1,142.9
1,827.9
390.7
2,719.1
9,613.2
1,146.7
1,836.2
391.4
2,722.7
9,620.0
1,147.8
1,835.3
393.1
2,729.9
9,630.2
1,149.4
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
306.6
3,623.5
2,722.4
736.8
2,812.1
257.7
305.4
3,629.3
2,723.8
305.8
3,630.5
2,733.7
740.3
2,815.2
305.7
3,627.8
2,748.1
743.2
2,823.7
259.9
260.1
260.9
308.1
3,625.0
2,750.1
743.9
2,827.8
261.1
308.5
3,637.6
2,758.4
746.8
2,823.5
261.3
308.2
3,646.0
2,771.9
743.7
2,830.6
262.3
308.8
3,642.0
2,776.4
742.9
2,831.9
263.0
309.3
309.6
309.2
310.7
3,645.0 3,664.0 3,663.7 3,664.7
2,765.2 2,788.8 2,795.9 2,800.6
741.1
2,811.2
259.2
305.2
3,625.7
2,744.0
742.5
2,818.5
595.5
5,814.8
5,427.0
1,493.8
1,640.9
5,692.3
492.31 493.0
See footnotes at end of table.
79
806.3
8,535.5
3,899.1
343.4
809.4
8,550.7
3,893.2
345.4
742.0
2,832.8
263.0
811.6
8,538.7
3,898.4
343.6
1,839.3
391.3
2,733.9
9,645.9
1,154.1
745.7
2,839.0
263.2
1,249.4
640.6
812.7
8,549.3
1,255.8
642.2
816.4
8,553.9
3,905.0 3,909.6
344.9
344.7
5,428.9
1,507.3
1,665.1
5,730.0
495.5
5,418.2
1,505.7
1,672.6
5,730.3
494.0
1,842.5
391.7
2,730.9
9,670.7
1,159.1
1,850.5
391.4
2,732.3
9,684.1
1,165.7
745.1
2,846.0
263.7
744.6
2,851.0
263.8
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Construction
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
106.1
18.5
208.0
52.9
888.6
105.0
18.1
208.9
52.9
891.0
105.1
18.2
211.7
53.1
899.9
104.8
18.5
214.3
52.8
910.8
105.4
18.5
215.0
53.1
915.7
105.4
18.1
216.9
53.1
919.1
105.7
18.4
220.1
53.3
923.7
106.6
18.3
221.7
53.7
931.4
156.2
68.1
27.0
12.0
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
158.7
70.8
28.0
12.3
512.7
159.8
70.6
27.7
12.4
517.1
159.8
71.1
27.9
12.3
519.1
160.1
71.1
27.4
12.4
522.7
162.3
71.1
27.4
12.2
525.4
163.8
70.7
27.5
12.2
529.7
162.3
71.0
27.4
12.0
533.2
163.7
71.0
27.7
12.1
530.91
199.5
30.8
41.4
264.1
152.3
199.5
31.2
42.7
268.8
153.7
199.3
31.6
43.4
269.2
154.0
198.2
31.8
44.3
269.7
152.7
199.1
32.1
45.7
269.1
153.6
201.5
32.6
46.2
268.2
153.6
201.4
32.8
46.1
267.4
153.3
201.2
33.2
45.7
266.7
153.1
202.7
33.7
45.7
267.4
152.1
203.21
33.91
149.3
197.7
30.6
40.7
263.1
150.8
Maine
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
66.3
87.2
120.9
31.6
68.3
65.9
87.3
118.9
31.9
68.6
65.7
87.2
118.5
31.7
68.2
65.9
86.9
116.9
31.6
67.9
66.8
86.9
117.1
31.6
68.1
67.3
86.8
86.5
31.0
68.3
67.5
87.1
87.6
31.5
68.5
68.4
87.2
92.8
31.4
Maryland 2
Massachusetts
Michigan
Minnesota
Mississippi
179.5 I
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
179.2
142.5
190.2
127.0
49.6
179.9
142.8
189.2
129.2
49.8
180.2
143.5
189.0
128.3
50.4
180.1
142.8
186.9
128.4
50.4
180.5
143.5
187.1
128.8
50.5
181.0
142.6
186.9
129.5
49.0
180.6
141.9
187.7
128.9
49.9
180.6
141.8
188.0
128.3
49.9
Missouri
Montana
Nebraska2
Nevada
New Hampshire
139.7
25.8
47.5
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
141.1
25.2
49.0
132.4
31.0
141.8
25.5
48.8
133.8
30.8
139.6
25.8
48.9
134.8
30.7
136.6
26.0
48.9
136.2
31.0
137.6
26.3
48.4
136.6
31.3
138.1
26.2
49.6
137.8
31.1
139.8
26.4
49.1
139.2
31.3
140.1
27.1
49.0
139.31
31.3
New Jersey
New Mexico
New York
North Carolina
North Dakota
170.3
51.5
167.7
51.9
320.3
223.0
16.7
167.0
51.8
320.8
222.2
17.3
166.2
52.8
321.4
222.8
17.0
166.5
53.2
324.4
224.5
18.4
166.5
53.5
322.8
225.6
18.0
166.1
53.7
322.8
225.7
17.5
165.7
54.4
322.4
224.7
17.7
166.7
54.2
322.7
226.1
17.7
167.7
54.0
322.8
225.5
17.8
165.7
54.4
322.0
226.4
17.7
167.1
54.6
323.6
226.41
18.11
234.7
62.7
86.0
248.7
21.1
236.4
62.6
88.1
249.8
21.0
237.7
62.6
89.0
253.6
21.2
237.5
62.7
89.0
255.8
21.4
235.7
63.3
89.7
256.0
21.2
234.0
63.0
90.3
255.7
21.2
235.2
63.6
91.8
256.1
21.4
233.8
62.7
93.0
256.7
21.4
234.7
63.4
94.1
256.8
21.5
235.81
249.3
21.0
234.6
63.1
84.7
249.4
20.8
110.9
19.9
118.4
542.9
73.1
111.6
19.9
120.0
543.4
75.1
112.0
19.7
119.6
542.9
76.2
111.8
20.9
119.9
544.2
77.3
112.2
21.5
119.7
547.9
78.5
111.0
21.4
119.8
549.4
79.7
110.9
21.3
119.6
549.5
79.5
110.9
21.4
119.4
551.3
80.5
111.0
20.9
119.0
554.0
81.7
111.7
20.8
119.1
557.1
82.8
112.3
20.8
120.3
558.1
84.0
112.9
21.3
119.8
558.51
83.9
,
16.7
236.5
165.1
.,
34.4
125.8
16.8
239.9
164.4
36.1
127.1
19.0
17.0
237.3
167.9
36.7
131.8
19.3
17.2
237.9
170.5
36.8
131.5
19.5
17.8
239.3
171.3
37.6
133.3
19.6
17.9
238.8
172.4
37.9
131.7
20.4
18.0
239.7
173.3
37.8
133.6
20.4
17.9
243.2
175.3
37.7
132.5
20.8
17.7
242.7
176.4
37.3
131.4
20.6
17.7
243.1
176.8
37.3
130.8
20.5
17.8
246.8
177.9
38.0
131.9
19.8
17.7
246.51
178.9
38.01
133.4
19.8
Alabama
Alaska
Arizona
Arkansas
California
,
Colorado
Connecticut
Delaware 2
District of Columbia 2
Florida
504.9
198.5
30.6
40.7
Georgia
Hawaii 2
Idaho
Illinois
Indiana
265.9
,
Iowa
Kansas
Kentucky
Louisiana
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
125.6
30.1
320.1
219.8
16.9
236.8
63.3
84.2
,
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
19.0
See footnotes at end of table.
80
46.21
268.11
151.9
63.61
95.11
255.7
21.6
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2005
2004
State
Dec.
Jan.
Feb.
Apr.
Mar.
May
June
July
Aug.
Sept.
Oct.
<?>
3
(!)
(3)
Manufacturing
Alabama
Alaska
Arizona
Arkansas
California
,
Colorado
Connecticut
Delaware
District of Columbia
Florida
<?>
(3)
175.4
203.9
1,535.1
154.8
197.9
<?>
(3)
385.3
3
(?)
3
( )
(?)
3
( )
176.3
203.3
1,538.1
177.3
202.9
1,535.8
155.0
197.6
154.7
198.9
<?>
(3)
388.0
3
(!)
(3)
388.0
3
<?>
(?)
d
( )
(3)
177.3
203.2
1,532.9
(
176.4
203.4
1,532.6
153.4
198.7
154.2
198.9
<?>
(3)
J)
(3)
388.6
388,3
s
(?)
(3)
176.0
202.2
1,533.6
153.6
198.2
153.7
197.9
<?>
(3)
390.7
153.0
196.8
(!)
(3)
(?)
(3)
(3)
(?)
(3)
3
3
3
394.9
393.8
(?)
393.5
392.41
15.2
63.2
691.6
571.4
15.2
31.61
692.3
571.1
225.4
178.8
266.4
151.0
62.0
227.0
178.5
265.4
150.8
61.8
227.5
178.0
259.6
149.4 j
62.2
226.6
178.0
265.7
149.5
61.7
228.1
177.3
265.5
139.3
61.7
228.9
177.1
265.91
139.0
61.4
139.6
312.7
680.3
347.5
179.5
139.1
312.7
680.7
347.2
179.4
139.1
312.3
670.5
348.2
179.3
138.7
314.9
660.4
347.6 j
180.1
138.2
314.6
665.1
346.4
180.0]
138.4
313.0
672.7
346.3
171.0
138.0
312.5
670.7
349.4
174.1
315.6
19.6
99.2
3
315.3
19.7
99.3
3
315.2
19.4
99.7
3
310.0!
19.5
100.1
3
315.4
19.3
100.5
3
316.1
19.2
100.6
3
316.2
18.9
100.8
3
15.3
63.0
690.1
572.9
Iowa
Kansas
Kentucky
Louisiana
Maine
224.2
178.5
264.2
151.3
63.0
224.7
180.0
264.6
151.8
62.5
224.8
179.8
264.5
151.2
62.4
224.9
179.1
265.1
151.3
62.2
225.5
179.0
266.0
151.7!
62.2
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
142.2
312.7
690.4
347.9
178.9
140.5
312.7
680.9
347.2
178.7
140.5
313.3
689.2
347.6
178.9
140.3
312.0
676.9
347.6
179.4
Missouri
Montana
Nebraska
Nevada
New Hampshire
314.7
19.2
100.5
3
310.0
19.1
98.8
3
314.0
19.3
98.9
3
31S.6
19.5
99.3
8
( )
80.7
81.0
80.9
337.0
36.5
589.8
579.0
24.4
335.0
36.1
589.9
576.2
24.5
333.9
35.7
588.7
575.9
24.6
(3)
827.8
(3)
824.5
(3)
201.8
689.2
56.4
202.4
687.9
56.3
204.6
686.2
56.5
<?>
<?>
<?>
<?>
<?>
<?>
<?>
<?>
3
<?>
<?>
3
888.3
117.4
37.4
298.4
267.4
62.6
506.4
3
889.3
117.6
37.2
298.2
267.5
62.8
502.6
3
823.1
152.9
196.7
(S)
( )
15.3J
62.6
690.0
574.0
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
153.4
196.8
15.4
61.6
692.2
570.9
( )
15.6
62.0
693.I)
576.3
New Jersey
New Mexico
New York
North Carolina
North Dakota
153.0
197.3
( )
( )
15.6
61.2
693.3
575.7
<>
175.7
201.2
1,536.7
( )
15.3
62.4
692.1
570.5
( )
15.7
60.7
694.6
575.3
( )
175.8
202.9
1,539.5
( )
( )
15.6
61.0
699.7
575.0
( )
392.7
<?>
3
175.5
202.0
1,535.2
( )
15.2
63.2
691.8
573.3
3
( )
81.0
<?>
(3)
<?>
3
176.0
202.3
1,535.8
( )
( )
3
Georgia
Hawaii
Idaho
Illinois
Indiana
( )
<?>
(3)
176.2
202.6
1,533.3
80.9
( )
80.5
(3)
( )
80.8
( )
81.9
( )
( )
327.1
35.3
578.5
574.0
26.0
327.1
35.6
577.2
570.5
25.2
325.41
36.21
574.5
569.7
25.2
( )
82.2
82.0
81.6
332.4
36.8
586.3
575.7
24.9
331.5
35.6
582.6
575.2
25.2
329.8
35.8
580.7
578.9
25.7
329.2
36.1
578.8
578.3
25.8
329.9
35.9!
581.0
575.8
25.8
823.7
(3)
823.1
(3)
822.4
(3)
819.9
(3)
(3)
819.9
(3)
(3)
206.1
685.6
55.9
205.2
684.7
55.2
204.5
684.7
54.9
205.4
683.0
55.1
207.0!
681.8
55.1
205.0
680.0
54.8
205.7
678.1
54.5
205.6
675.6
54.6
?>
<?>
(!)
<?>
(?>
(?)
(?)
(3)
824.7
820l9!
822.6
I
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
(3)
887.3
116.7
37.1
299.7
265.7
62.5
503.0
3
( )
885.6
116.7
37.1
299.0
266.6
62.8
500.6
3
( )
(3)
886.5
116.8
37.4
298.4
266.4
62.7
504.0
3
( )
( )
<)
( )
( )
See footnotes at end of table.
81
(
(3)
888.3
117.2
37.2
298.3
267.7
62.9
503.6
3
( )
(?)
3
( )
887.3
117.5
37.6
298.5
267.6
63.4
503.1
3
( )
(3)
(3)
891.7
117.5
37.5
299.8
268.01
62.3
504.0
3
( )
( )
891.6
117.4!
37.4
298.0
267.6
62.2
501.4]
3
(
?>
(?)
(3)
892.3
117.2
37.6
297.2
253.0
61.8
500.1
3
( )
(
?>
(?)
(3)
891.3
117.5
37.5
297.4
268.7
61.9
502.4
3
( )
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Trade, transportation, and utilities
Alabama
Alaska
Arizona
Arkansas
California
375.9
62.6
3
( )
377.7
62.0
3
( )
379.3
61.7
3
( )
380.7
61.9
3
( )
382.1
62.2
3
( )
242.3
2,763.4
242.2
2,769.4
242.5
2,766.8
414.2
310.8
82.3
3
413.6
312.1
81.3
3
414.1
313.1
81.1
3
383.6
63.3
3
( )
383.0
63.4
3
( )
243.0]
2,768.3
383.2
63.8:
3
!
( )
383.8
63.2
3
( )
383.0
63.5
3
( )
382.41
62.8
3
( )
244.5
2,783.6
244.9
2,783.1
411.6
314.0
82.1
3
243.6
2,778.7
412.6
316.2
82.2
3
411.8
317.2
82.3
3
412.7
315.8
82.0
3
1,529.7
1,530.3 j 1,532.1
1,535.6
1,538.7
1,541.5
823.7
115.3
118.7
1,179.1
579.8
822.0
116.3
119.1
1,184.5
580.0
826.9
117.2
120.4
1,187.4
580.6
824.5
117.1
121.2
1,187.4
583.4
828.0
117.3
122.1
1,185.2
582.5
831.6
118.0
122.2
1,184.4
583.4
827.0
118.6
122.5
1,187.8
582.6
832.31
119.4
122.5
1,188.2
579.6
305.7
259.7
372.6
381.2
127.0
305.9
259.8
372.6
382.1
126.2
307.2
259.9
373.4
382.6
126.2
308.2
261.4]
374.4
381.2
126.5
308.2
260.3
374.2
383.5
126.6
309.1
261.1
375.1
385.9
126.5
307.7
258.7
377.0
386.0
126.7
307.1
262.4
376.1
340.5
126.2
309.31
260.61
376.3
335.7
126.3
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
473.7
573.9
814.8
526.3
223.4
474.4
575.0
811.3
525.9!
221.8
473.8
575.8
813.8
526.0
223.2
473.5
575.9
807.9
528.2
223.3
473.7
576.8
807.4
528.4
222.5
474.7
575.4
801.1
525.5
212.2
476.5
575.2
798.3
526.5
212.7
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
535.9
86.8
200.8
211.3
142.5
539.4
87.5
202.1
211.5
143.0]
535.8
87.6
199.8
212.3
142.9
536.8
87.5
198.9
211.7
144.0
538.6
87.2
199.6
211.4
144.4
538.1
86.8
200.7
211.5
145.0
538.21
86.61
198.5
213.5
144.0
New Jersey
New Mexico
New York
North Carolina
North Dakota
878.1
137.8
1,494.2
725.3
72.5
882.8
137.9
1,484.5
718.3
72.5
885.3
138.0
1,487.8
723.6
73.1
887.4
138.4
1,489.1
724.1
73.4
138.3
1,491.5
727.7
73.7
891.9!
892.0
138.4
138.5
1,493.2 1,495.8
730.3]
730.0
74.1
73.9
889.5
138.4
1,495.5
732.1
74.0
889.5
138.5
1,495.2
729.4
74.2
893.5
139.0
1,494.7
723.6
74.5
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
1,037.8
275.2
324.5
1,127.1
79.3
1,033.9
276.4
327.9
1,126.7
78.9
1,032.1
276.8
329.6
1,126.5
78.6
1,033.7
277.7
330.4
1,127.9
79.2
1,032.0
277.6
330.6
1,127.9
79.8
1,030.1
276.3
329.3
1,128.7
79.5
1,031.5
277.0
330.2
1,129.3
79.5
1,033.3
277.4
331.1
1,127.9
79.1
1,032.7
277.9
331.1
1,129.7
79.0
1,032.9] 1,029.4
278.6
279.8
335.3
332.4
1,131.4 1,134.6
79.0
78.7
South Carolina
South Dakota
Tennessee
Texas
Utah
354.2
77.2
585.9
1,954.3
221.7
353.7
77.9
592.0
1,959.0
224.1
354.5
77.7
592.6
1,955.8
223.9
355.7
78.3
593.1
1,956.7
224.7
356.0
78.5
594.1
1,960.6
224.0
355.7
79.2
593.9
1,961.5
224.3
355.3
79.2
593.5
1,963.0
225.7
357.3
78.8
592.7
1,968.2
225.6
358.2
79.1
594.3
1,970.4
224.6
360.0
361.8
78.7
78.6
599.21
596.6
1,969.0] 1,970.4
226.01
225.4]
242.5
2,778.9
410.0
311.7
82.5
3
241.8
2,768.0
1,508.2
1,517.9
1,524.0
1,529.1
825.4
114.4
119.0
1,180.9
575.6
822.6
113.8
117.8
1,172.9
578.0
820.7
115.0
118.2
1,175.4
578.0
Iowa
Kansas
Kentucky
Louisiana
Maine
308.0
258.8
372.7
380.6
126.7
305.8
258.8
372.8
382.4
126.6
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
470.9
572.8
808.7
528.9
220.0
Missouri
Montana
Nebraska
Nevada
New Hampshire
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
( )
412.5
309.7
81.5
3
( )
( )
(3)
(3)
(3)
652.6
528.9
137.4
543.9
49.8
655.0
528.3
138.1
540.3
49.6
656.6
532.8
137.8
540.6
49.8
( )
(3)
655.6
532.1
138.5
539.2
49.8;
( )
412.5
313.5
82.01
3
( )
( )
( )
( )
( )
244.7
2,787.3
413.9
316.7
82.9
3
( )
1,541.5
891.0
139.4
1,495.8
723.5
74.0
(3)
(3)
(3)
(3)
(3)
(3)
(3)
656.6
530.6
138.1
540.5
49.7
659.5
530.3
137.9
541.8
49.9
658.2
530.4
138.3
537.7
50.1
657.5
533.3
138.4
541.61
50.4]
660.6
534.8
138.0
540.0
50.5
659.7]
534.8]
137.8
537.7
50.4
660.51
539.41
138.1
539.21
50.7
See footnotes at end of table.
242.8
2,766.8
82
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2005
2004
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Financial activities
Alabama
Alaska
Arizona
Arkansas
California
96.0
14.6
165.4
51.2
916.4
95.4
14.6
165.4
51.5
917.8
95.5
14.7
95.5
15.0
165.6
51.9
917.2
Colorado
Connecticut
Delaware
District of Columbia
Florida
158.6
140.8
44.7
3
156.2
140.7
44.7
3
156.6
141.2
344.8
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
<>
( )
( )
507.4
508.5
219.4
221.8
220.5
507.1
3
( )
399.5
141.4
97.4
<!>
(3)
398.5
140.3
97.9
(3)
3
( )
398.6
140.5
98.0
(3)
165.3
52.0
917.4
95.6
15.1
166.9
52.0
915.9
95.8
15.0
168.0
52.0
916.2
156.9
141.3
344.41
157.1
141.3
44.4
3
157.8
141.1
44.4
3
923.0
924.31
158.2
141.2
44.7
3
158.5
141.1
45.0
3
158.6
141.2
45.0
3
160.4 J
141.5
345.1J
159.7
142.3
345.4
( )
( )
516.2
516.9
518.5
221.9
221.7
221.8
<!>
(3)
<*>
(3)
<;>
(3)
<!>
(3)
403.6
403.2
404.2
142.8
100.1
3
403.0
142.1
100.3
3
( )
( )
220.5
220.7
220.8
220.8
<!>
(3)
<*>
(3)
400.5
141.1
98.4
3
400.5
140.9
98.7
3
511.1
3
( )
401.7
142.5
99.1
3
85.6
103.8
34.7
85.0
104.1
34.5
84.8
104.5
34.5
85.6
103.9
34.3
Maryland
Massachusetts
155.8
219.4
218.7
175.1
3
157.4
218.7
218.4
177.8
3
157.5
219.4
217.8
178.1
3
158.1
219.6
218.3
178.8
3
158.2
219.9
218.1
178.9
3
158.4
219.9
217.8
179.4!
3
( )
922.5
168.9
52.1
( )
85.7
103.1
34.5
( )
95.7
14.9
172.2
52.21
511.7
86.1
103.0
34.5
( )
95.9
14.9
172.3!
51.9
508.151
<3>
Minnesota
Mississippi
95.9
14.9
171.4
52.0
917.2
95.8
14.8
170.3
52.1
919.9
( ) | ( )
Kansas
Kentucky
Louisiana
Maine
Michigan
96.0
15.0
( )
( )
( )
( )
( )
( )
514.4
142.5
99.2
(3)
517.3
142.6J
99.9
(3)
( )
( )
( )
85.8
104.4!
34.2
86.0!
104.5
34.6!
85.4
103.6
34.7
84.6
94.4
34.3
158.6
220.7
218.1
180.9
3
159.5
220.6
218.7
178.9
3
159.7
220.3
218.8
179.8
3
159.1
219.7
219.0
179.7
3
( )
( )
( )
( )
222.8
{
V
(3)
403.7
141.7
100.6
(3)
84.31
96.11
34.2
158.9
219.0
219.4
179.8
3
( )
Missouri
Montana
Nebraska
Nevada
New Hampshire
165.8
21.2
63.4
62.8
38.2
165.4
21.1
63.4
63.2
38.4
165.6
21.2
63.8
63.5
38.6
16S.6
21.3
64.2
64.0
38.7
166.3
21.4
64.4
64.5
38.7J
167.0
21.3
63.9
64.8
38.4
167.7
21.7!
64.2
65.5
38.5
168.6
21.6
64.2
66.1
38.4
169.0
21.6
64.1
65.9
38.3
169.0
21.4
64.7
65.9|
38.2
168.7
21.1
64.61
66.7
38.3
New Jersey
New Mexico
New York
North Carolina
North Dakota
280.8
35.0
706.2
3
280.3
35.1
706.2
3
281.2
35.0
707.5
3
281.0
35.3
710.0
3
281.6
35.4
707.7
3
281.6
35.3
707.4
3
282.0
35.2
709.0
3
281.6
35.4
712.7
3
282.0
35.3
715.8
3
282.4I
35.3
282.3
35.4
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
( )
18.7
( )
18.8
( )
18.6
( )
18.8
( )
18.9|
18.8
716.9
( )
( )
(3)
(3)
313.4
86.3
99.0
336.7
35.5
313.7
86.1
98.4
337.2
35.5
313.8
86.4|
98.1
338.3|
35.3
313.9
86.91
98.4
338.6
35.3
94.31
29.01
18.7
18.5
18.8
18.91
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
311.6
85.7
98.6
335.2
35.2
312.3
85.5
98.3
335.9
35.5
312.5
86.1
98.5
336.9
35.4
93.5
93.1
28.8
144.0
93.1
28.8
144.0
600.3
3
93.1
28.6
143.8
93.3
28.1
143.6
93.3
28.1
143.7
601.8
3
93.5
94.3
94.7
94.5
28.5
143.2
28.5
143.7
601.5
3
28.8
143.9
28.8
28.2
143.1
599.5
599.9
(3)
(3)
(3)
(3)
190.1
152.4
30.3
157.4
3
( )
190.8
151.4
30.4
156.9
3
( )
( )
(3)
191.0
151.7
30.0
157.7
3
( )
600.8
599.9
601.0
(3)
(3)
( )
(3)
(3)
(3)
(»)
(3)
191.3
152.2
30.2
158.4
3
( )
192.3
152.7
29.8
158.2
3
( )
83
193.4
152.7
29.8|
158.5
3
( )
717.9
( )
313.5
84.7
97.6
335.5
34.4
See footnotes at end of table.
( )
193.4
153.3
29.9
158.4
3
( )
( )
(3)
191.9
153.6
29.8
158.3
3
( )
602.6
143.7
604.7
18.81
144.1
606.8
(3)
(3)
(3)
(3)
(3)
(3)
190.2
153.2
29.7
158.9
3
( )
191.0
154.0
29.7
158.8
3
( )
191.4
154.6
29.91
158.4
3
( )
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
3
3
3
3
3
(3)
23.9
23.5
345.01
108.6
June
July
Aug.
Sept.
Oct.
Nov.
<3)
(3)
(*)
(3)
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
Maine
Maryland
Massachusetts
Michigan
Minnesota
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
( )
23.3
343.1
108.4
2,130.4
305.0
199.5
62.9
143.8
1,324.7
( )
( )
( )
23.3
340.7
110.3
2,126.7
23.3
343.6
109.9
2,135.4
23.8
343.0
109.5
2,135.7
304.6
197.8
63.3
142.0
1,335.2
307.6
198.1
63.3
309.4
143.3
144.3
1,343.7
1,339.2
198.0
63.4
( )
346.6
109.4
2,141.1
306.7
197.9
63.4
145.9
1,350.3
519.0
23.6
347.4
108.8
2,140.2 2,147.2
(3)
23.5
351.5
108.8
2,152.8
307.0
197.6
63.2
309.1
197.8
63.9
199.9
63.0
147.0
1,350.2
147.7
1,361.4
147.3
1,366.1
310.31
2,152.7! 2,158.0
311.1
199.1
62.3
147.2
1,375.6
313.9 j 314.2
199.4
200.9
62.9
63.0
146.9
147.2
1,388.4 1,400.5
310.0
198.7
62.1
147.5
1,386.4
(3)
521.1
(3)
520.4
(3)
519.3
(3)
(3)
514.8
(3)
516.3
(3)
520.9
(3)
524.3
(3)
73.5
799.3
269.6
74.8
794.1
270.3
75.4
800.2
272.0
75.5
806.1
272.5
76.5
822.3
272.9
77.2
823.4 j
271.61
77.9
828.1
271.4
78.8
826.7
271.9!
78.7]
828.7]
272.3
77.7
828.9
273.8
105.2
(3)
106.7
(3)
107.4
(3)
(3)
105.7
106.3
(3)
166.0
181.9
49.3
164.0
185.2
49.1
164.4
185.8
49.6
377.5
454.6
584.6
303.1
3
378.0
454.3
571.6
298.7
3
380.9
455.7
573.0
302.6
3
(3)
107.6
165.2
185.0
49.6
167.41
185.8]
49.9
383.3
455.4
572.8
301.9
3
385.0|
460.2
569.0]
304.9
3
107.2
(3)
(3)
108.5
23.9
360.0
23.3
24.1
352.3
354.1
108.2
108.6
2,156.0] 2,157.6
519.2
(3)
107.6
(3)
522.6
106.1
(3)
23.9]
356.6
109.4
526.1
109.4
526.9
(3)
(3)
77.5
832.4
272.9
77.7
831.4
273.1
105.8
(3)
(3)
106.1
167.4
187.0
50.1
168.2
186.6
49.7
167.6
183.7
49.9
168.6
184.6
49.6
168.5
156.8
49.7
169.5
156.2
49.8
169.6
156.4
49.5
387.3
458.4
569.4
307.1
3
392.2
459.3
576.3
309.8
3
392.3
460.1
582.3
308.3
3
390.0
459.3
581.9
309.6
3
390.8
458.1
584.3
309.0
i
3
388.9
461.0
587.0
310.1
3
388.2
461.1
587.7
306.5
3
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
302.6
33.0
94.3
299.6
32.7
94.8
302.2
33.2
94.9
306.0
33.9|
95.5
303.8
34.1
96.1
138.3
55.2
143.1
56.4
143.8
56.5
305.4
35.1
97.4
146.1
56.8
306.0
35.1
97.3]
147.1
56.9]
305.5
34.3
96.1
139.2
55.2
307.4
34.7
96.5
146.1
57.0
304.4
35.2
97.9
137.7
56.2
304.3
33.7
95.8
140.2
55.9
305.5
34.5
97.5
147.8
56.2
585.0
92.1
1,060.3
581.4
584.8
589.2
92.2
588.4
588.9
92.9
1,058.4
435.3
24.0
583.1
91.8
1,061.4
436.9
23.9
578.4
91.7
1,057.0
430.9
23.9
630.0
165.1
180.0
641.2
54.6
627.2
165.8
180.1
644.8
54.9
633.7
165.3
181.7
648.5
55.2
(3)
(3)
(3)
91.6
92.0
588.2
587.3
91.9
91.8 j
1,077.5 1,077.9
448.9
444.7
25.0
24.8
1,066.1
443.0
24.3
1,073.2
638.0
166.3
181.9
648.2
55.3
642.8
167.7
180.8
649.7
55.5
641.6
166.8
179.2
648.8
55.7
644.5
167.3
181.6
649.8
55.4
643.6
166.3
182.4
651.0
55.3
(3)
(3)
(3)
<J>
3
(3)
306.1
1,090.2
139.9
305.5
1,097.3
141.1
306.9
1,103.1
141.8
304.5
1,106.5
143.6
305.5
1,107.9
145.5
21.2
589.1
305.6
21.2
589.1
305.7
57.7
249.9
15.2
57.9
247.3
21.2
592.1
308.1
58.1
248.3
15.4
21.2
590.4
310.5
58.1
249.9
15.3
21.6
590.1
312.4
58.2
252.3
15.5
15.1
146.7
57.0
439.4
23.9
See footnotes at end of table.
(3)
84
441.0
24.6
302.7
1,101.7
145.6
21.7J
584.61
312.7
58.2
251.5
15.6|
303.2
1,104.9
146.3
22.0
588.4
314.6
58.4
253.5
15.8
( )
304.9
1,106.8
147.4
92.3
1,083.7
449.5
25.0
644.6
168.1
183.6
651.2
55.6
<;>
(3)
589.2
93.9
1,080.4 1,079.8
452.3
453.0
24.71
24.8
<!>
(3)
O I (3)
(3)
22.1
587.2
317.7]
22.2
588.7
316.9
59.4
258.5
59.51
257.7
16.0
1,082.6
453.4
24.7!
645.6
1675]
182.8
652.3
55.1 j
304.0
1,110.1
145.1
16.1!
590.7
93.4
645.6
167.3
185.0
654.1
55.3
304.3
1,107.6
146.3
21.9
589.6
316.6
58.6
254.01
149.5
56.9
15.6
645.4!
167.4]
182.9
654.8]
55.3
302.8 j 303.5
1,115.8 1,123.9
148.6
148.3
22.21
598.3
319.7
59.5 j
259.2
15.71
22.2
600.9]
319.7
59.2
261.4
15.9
Dec.P
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major Industry, seasonally adjusted-—Continued
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
(3)
(3)
(3)
(3)
(3)
May
June
July
Aug.
Sept.
Oct.
(3)
(3)
(3)
Education and health services
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
35.0
266.4
144.7
1,571.1
35.3
268.4
144.5
1,577.4
35.6
268.9
144.7
1,579.3
(3)
36.2
270.2
144.9
1,577.5
36.1
271.8
145.4
1,584.9
36.2
273.5
145.8
1,589.7
(352.9
)
3
(933.4
)
(353.6
)
3
(935.8
)
(353.1
)
3
(936.8
)
(353.2
)
(353.2
)
(353.1
)
3
3
3
(946.5
)
(942.7
)
(940.0
)
223.0
223.3
223.9
(3)
(3)
(3)
(3)
(3)
(3)
3
(731.5
)
3
(729.8
)
3
(728.9
)
3
(730.5
)
374.3
372.8
373.2
373.6
374.2
221.3
68.6
222.2
68.9
222.8
68.7
68.8
(3)
35.9
273.1
146.4
1,587.9
224.9
(3)
35.8
271.5
146.6
1,584.9
226.0
35.8
275.2
147.1
1,587.5
225.5
35.7
278.4
147.4
1,589.3
225.7
35.7
279.6
147.9
1,592.6
225.9
(353.4
)
3
(950.6
)
(353.6
)
3
(953.1
)
(353.3
)
3
(953.1
)
(353.4
)
3
(959.1
)
(353.4
)
3
(960.3
)
(3)
(3)
(3)
(3)
(3)
3
3
(732.6
)
(732.7
)
3
(734.1
)
3
(736.0
)
3
(738.1
)
3
(739.6
)
3
(740.2
)
373.6
383.0
382.0
379.3
380.8
380.8
194.4
194.6
194.4
68.9
69.2
69.2
69.6
69.5
70.3
70.2
194.5
3
(232.3
)
3
(232.0
)
3
(232.5
)
3
(232.2
)
3
3
(233.1
)
(233.0
)
192.9
193.6
3
<234.4
>
3
(235.7
)
3
(235.4
)
3
(235.6
)
3
(235.7
)
252.1
112.3
252.1
112.5
253.0
112.6
253.8
112.6
252.1
113.2
252.6
113.1
253.7
113.3
260.3
113.3
257.9
113.9
208.4
113.3
211.2
114.2
350.7
584.2
552.8
382.0
352.7
585.1
555.0
379.3
352.9
585.3
553.7
382.0
353.4
586.3
553.6
383.2
354.4
585.3
555.4
384.0
354.7
585.2
554.7
386.5
356.2
586.3
558.1
388.6
357.1
588.4
560.0
390.5
357.5
587.7
557.8
391.9
357.5
587.9
559.5
391.4
358.9
586.7
556.1
391.9
192.4
(3)
192.5
(3)
359.9
54.8
127.6
363.6
54.6
128.9
O
(3)
<!>
(3)
192.4
<»>
362.5
54.5
127.4
(33)
()
192.4
(3)
363.3
54.3
126.7
(33)
()
193.8
(3)
(3)
(3)
(3)
(3)
363.7
54.4
127.0
366.1
54.9
127.1
370.2
55.5
128.7
367.5
55.8
128.9
371.1
55.5
128.4
(3)
(3)
(33)
()
(33)
()
(33)
()
(33)
()
(3)
367.3
56.2
128.4
(3)
367.1
56.1
128.3
<*>
(3)
(33)
()
New Jersey
New Mexico
New York
North Carolina
North Dakota
553.2
104.2
1,534.2
454.2
48.8
555.7
104.6
1,537.3
456.1
48.8
557.8
104.7
1,538.7
454.8
49.5
558.4
104.5
1,540.0
454.9
49.6
558.9
105.2
1,542.8
458.3
49.4
560.1
105.2
1,541.7
458.3
49.5
562.0
105.1
1,545.0
461.6
49.7
561.1
105.0
1,545.8
462.5
49.6
561.3
104.9
1,548.7
465.4
49.7
561.8
104.8
1,557.2
466.2
49.9
561.2
105.4
1,556.3
463.2
49.8
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
749.1
179.9
196.8
1,004.6
93.7
753.9
181.2
194.0
1,010.0
94.2
753.5
180.9
197.3
1,010.1
94.6
752.7
181.0
198.7
1,013.0
95.2
754.1
181.7
199.5
1,014.3
95.4
752.1
182.1
199.4
1,015.2
95.8
754.3
182.8
198.9
1,016.8
95.7
753.8
182.2
202.4
1,017.7
95.6
755.7
183.3
204.3
1,017.9
95.9
757.9
184.3
203.8
1,019.6
96.8
755.6
183.7
203.0
1,025.9
97.1
179.9
56.8
183.4
56.9
182.3
57.3
183.1
57.2
183.9
56.9
184.9
56.7
187.5
56.8
188.7
57.0
189.1
57.4
186.0
57.9
185.8
57.8
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
3
()
1,157.0
126.2
3
()
1,160.0
125.8
3
()
1,161.7
126.5
3
()
1,163.4
127.1
3
()
1,167.1
127.1
()
3
()
1,171.6
127.2
1,169.3
127.4
3
()
1,171.3
127.1
3
()
3
()
(3)
1,174.2
128.1
1,174.7
128.5
1,177.5
129.1
(3)
(3)
(3)
(3)
(3)
<3>
(3)
(3)
(3)
<3>
(3)
(3)
(3)
(3)
(3)
<3>
(3)
(3)
(3)
(3)
(3)
(3)
385.3
322.3
112.1
381.7
384.7
323.8
112.2
382.5
386.2
324.4
112.3
381.7
387.5
325.8
112.3
383.3
385.3
326.8
111.5
382.9
See footnotes at end of table.
3
85
385.3
328.2
111.3
384.7
385.4
329.1
111.9
382.4
388.2
329.8
111.6
381.6
386.5
330.1
111.3
381.7
391.3
329.5
111.7
385.6
391.3
331.3
114.6
385.6
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2005
2004
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
163.4
31.6
253.0
93.2
1,484.5
162.3
32.0
254.4
92.5
1,479.6
Oct.
Nov.
Dec.P
Leisure and hospitality
162.4
30.7
256.7
91.7
1,490.4
162.4
30.9
257.9
91.7
1,489.8
257.2
129.71
41.7
53.9|
892.2
257.9
129.1
42.0
54.0
896.9
258.0
129.3
42.2
53.9
904.6
368.9
107.5
57.4
526.2
281.3
371.4
107.6
57.6
523.2
279.6
373.3
108.1
57.8
521.5
278.9
372.8
108.0
58.0
521.0
279.6
(3)
(3)
(3)
(3)
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
1,478.1
162.3
30.7
250.8
92.2
1,478.5
162.5
30.4
250.8
92.5
1,475.7
162.4
31.4
252.2
93.2
1,480.6
Colorado
Connecticut
Delaware
District of Columbia
Florida
253.2
128.1
40.8
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
256.1
129.2
41.5
53.6
875.5
256.3
130.7
42.1
53.6
877.6
257.9
131.6
41.7
53.9
881.9
257.6
131.4
41.6
53.6
890.6
258.0
131.11
42.0
54.0
891.1
257.4 i
131.2
42.5
53.8
896.6
Georgia
Hawaii
Idaho
Illinois
Indiana
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
363.6
105.9
55.6
524.2
282.9
364.3
106.3
56.4
523.6
283.1
362.8
106.9
57.3
522.4
282.8
364.5
106.9
56.8
522.2
283.1
367.4
107.4
57.5
524.3
281.3
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(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
112.5
166.3
207.4
60.3
113.7
165.3
207.5
60.0
113.1
166.1
207.3
60.3
112.6
165.5
204.9
59.7
111.7
166.2
207.1
60.0
111.9
166.2
161.2
60.61
111.7
165.8
163.1
60.9!
112.9
166.0
162.6
61.31
112.2
166.5
165.7
62.1
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
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
236.8
300.5
411.6
240.5
127.1
236.9
298.0
409.4
238.9
126.1
237.5
297.7
406.7
239.2
125.9
237.0
300.2
404.4
240.7
125.3
237.7
297.9
406.3
241.7
124.6
238.2
297.51
406.3
244.7
111.5
238.1
296.4!
406.2
242.5
111.4
237.4
295.3
407.5
243.8
113.4
237.7
295.9
407.7
245.6
109.2
Missouri
Montana
Nebraska
Nevada
New Hampshire
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
267.4
56.8
81.8
327.7
66.6
268.4
55.7
81.2
329.2
67.6
274.91
55.2!
80.5
330.8
66.7
277.6
56.0
81.0
331.6
67.1
277.1
56.3
80.8
331.8
67.1
270.9
56.6]
80.1
331.8 j
66.8
264.8
57.6
79.8
332.3
66.9
266.5
58.3
79.4!
331.7]
267.6
59.9
79.5
331.8
68.2
New Jersey
New Mexico
New York
North Carolina
North Dakota
332.3
82.9
668.0
349.7
30.8
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
336.5
83.8
677.2
350.8
31.9
337.6
84.1
676.0
349.4
31.8
340.2
84.4
676.9
347.3
31.7
340.7
84.4
680.6
346.1
32.1
343.3
83.9
679.6
347.7
31.8
340.7
83.8
679.0
351.7|
32.4
346.2
83.2
677.5
352.6
31.8
346.2
82.9
677.8
357.4
32.0
348.0
83.6
678.2
356.8
31.9
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
492.7
130.2
159.0
480.1
50.6
491.4
131.9
159.1
480.6
50.8
490.9
131.9
160.7
480.4
50.8
491.4
130.7
160.7
481.3
51.2
497.8
131.0
159.1
485.3
51.3
502.1
130.5
161.3
485.4
51.8
501.0
128.5
159.9
486.6
52.0
501.6
129.5
161.4
487.8
52.6
499.6!
127.8;
163.3
491.4!
52.2 j
499.0
128.2
164.3
493.2
52.2
497.9
127.9
161.5
492.5
52.1
496.2
128.9
159.8
493.0
52.3
496.9
128.8
160.8
493.2
52.5
South Carolina
South Dakota
Tennessee
Texas
Utah
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
207.2
41.7
256.2
895.8
104.8
204.7
41.4
255.9
893.5
102.7
206.4
42.2
254.7
894.6
105.7
206.6
42.1
255.7
897.4
106.1
206.9
41.9
257.31
899.0
105.5
206.1
42.0
257.7
899.4
105.5J
206.6
41.1
257.5
903.8
104.7;
203.0
41.3
259.1
907.4)
105.3
203.3
41.9
259.8
910.0
106.2
Vermont
Virginia
Washington
West Virginia .........
Wisconsin
.....
Wyoming
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(3)
318.0
259.2
69.6
255.1
31.6
325.6
260.4
68.3
257.7
32.1
325.1
263.2
68.0
257.5
31.5
(3)
318.6
256.7
69.0
250.1
32.6
322.4
260.7
68.9
255.9
31.4
(3)
323.0
255.2
69.0
248.9
32.4
323.4
260.1
69.3
254.6
31.6
(3)
325.4
255.6
68.4
248.7
32.4
321.1
258.6
69.4
255.1
32.7
(3)
324.5
255.4
68.2
249.3
32.1
327.3
262.7
67.6
256.1
31.7
326.2
264.4
68.3]
258.4 j
32.2
325.1
266.4
68.1
257.4
32.6
Alabama
Alaska
Arizona
Arkansas
California
Iowa
Kansas
Kentucky
Louisiana
Maine
See footnotes at end of table.
86
162.4
31.3
256.4
92.1
1,488.2
ESTABLISHMENT DATA
STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-6. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.P
Government
Alabama
Alaska
Arizona
Arkansas
California
359.9
81.1
361.4
82.2
360.0
81.8
405.2
201.9
2,381.5
360.9
81.7
408.0
201.7
2,387.4
2,387.8
364.3
242.0
59.5
364.3
243.4
60.3
1,076.8
362.0
242.3
59.1
231.1
1,079.6
230.8
1,081.3
643.5
120.2
115.3
838.2
425.2
642.0
117.2
115.1
845.6
430.2
Kansas
Kentucky
Louisiana
Maine
243.4
254.0
308.2
381.4
105.4
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
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
405.6
201.6
2,380.8
362.0
242.0
58.6
230.9
406.8
202.2
360.4
81.7
407.7
202.2
2,388.0
366.2
242.4
363.8
81.1
405.6
204.5
362.3
361.9
81.1
410.9
205.6
2,423.8
360.6| 360.2
81.2
81.1
81.5
411.7
408.5
406.5
205.2|
205.8 i 206.0
2,415.0 2,408.2 2,409.7
360.5
2,392.5
80.2
410.2
205.9
2,400.3
242.1
59.7
231.5
1,087.5
367.4
244.5
59.7
234.4
371.3
241.7|
60.1
1,091.0
1,093.8
369.3
368.7
367.4
242.7
242.8
59.3
59.1
230.8
231.6
1,095.61 1,094.6
229.8
1,082.9
365.6
243.1
60.1
230.2
1,085.4
1,086.0
368.8
242.2
59.4
230.4
1,068.1
646.1
119.3
115.5
843.6
429.3
646.9
119.1
115.7
844.6
427.7
649.3
119.1
116.2
839.7
428.2
647.3
119.1
115.5
840.2
425.5
645.0
120,2
115.1
839.1
424.4
647.8
120.1
113.8
844.8
424.4
650.0
121.3
113.8
844.8
420.1
649.2
120.4
115.1
843.3
427.5
648.1
119.6
114.9|
843.5
423.1
651.2
119.7
115.1
845.5
423.0
243.1
248.6
309.4
382.5
105.1
242.4
255.8
308.4
382.6
104.6
242.1
255.5
309.0
382.6
104.7
242.8
255.5
309.1
382.7
105.1
243.7
255.3
308.6
382.7
105.2
245.3
256.9
310.8
381.5
105.6
243.5
252.3
312.0
379.6
106.0
245.4
251.7
306.9
383.9
107.5
244.9
259.9
310.8
378.5
105.2
246.1
259.3
309.7
377.91
106.01
245.4
259.5
308.9
376.6
105.8
461.6
405.2
688.0
411.1
242.9
461.4
405.1
687.4
414.4
243.9
462.2
406.0
687.3
411.4
244.5
462.5
405.9
685.4
412.9
244.8
462.6
406.6
686.8
413.2
244.9
464.2
407.9
683.4
411.7
245.2
468.1
409.1
678.5
414.8
246.0
468.4
407.6
668.7
419.8
244.8
466.5
407.0
675.0
419.0
245.9
468.6
410.0
679.3
415.7
242.6
466.7
404.9
670.7
416.6
241.6
465.4
406.0
672.2
415.7
242.2
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
142.3
90.1
428.6
86.2
159.8
142.9
90.8
428.1
85.9
160.4
143.1
90.5
428.5
86.8
160.0
143.7
91.3
428.2
88.3
160.9
143.1
90.3
438.3
88.1
159.3
144.0
438.1
87.3
159.3
142.5
91.9
425.3
86.1
162.9
144.1
90.9
424.6
87.5
423.9
641.7
640.5
201.3
1,481.9
651.9
640.7
201.9
642.6
201.3
644.4
202.9
642.7|
202.3!
662.8
75.2
641.5
200.2
1,478.9
663.4
72.0
1,479.4
75.8
639.1
202.9
1,482.9
653.7
75.4
640.5
201.2
1,488.5
75.6
640.6
201.1
1,481.5
651.0
75.5
660.3
74.3
1,488.7
660.5
75.1
1,483.6
660.7
74.7
797.4
306.3
271.4
746.1
65.3
797.6
305.2
274.1
747.0
65.6
799.1
307.9
273.3
745.0
65.7
797.0
308.8
273.2
745.4
65.7
798.1
308.7
274.6
747.4
65.9
798.8
308.1
273.6
748.0
65.9
795.3
311.2
273.9
749.7
66.3
800.1
311.6
272.7
752.6
66.2
802.8
314.4
272.5
752.8
65.9
798.6
315.8
272.0
755.2
65.8
796.0
315.8
271.2
756.2
65.6
330.6
74.6
412.6
1,664.7
199.4
328.9
75.0
414.3
1,666.2
200.8
329.6
74.9
330.3
75.2
412.9
330.9
75.4
414.1!
334.3
75.7
414.4
329.9
75.0
330.5
74.9
1,662.9
201.1
201.7
413.2
1,670.8
202.4
335.0
74.5
414.3
1,672.7
204.1
75.6
1,664.0
332.5
75.8
413.3
1,663.7 1,665.2
201.4
202.1]
328.2
411.6
414.9
1,671.3
203.7
414.0
1,672.4
203.3
413.8
1,674.3
203.1
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
142.7
413.3
52.7!
654.61
525.3!
143.6J
411.21
64.2
64.61
52.8
659.2
529.2
143.0
413.1
65.3
52.8
658.5
530.1
143.3
412.7
65.4
53.2
656.2
530.4
143.4
414.6
65.3
53.2
659.5
527.2
143.2
416.1
65.2
52.9
659.7
526.9
142.5
416.2
65.1
640.8
200.2
1,488.5
650.5
74.8
200.5
1,485.3
650.8
75.6!
1,480.6
653.2
52.8
653.3
524.7
143.5
409.6
65.0
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.
360.3
81.2
409.1
202.3
2,395.8
60.1
230.1
53.0
655.8
524.3
143.2
411.8
65.2
1,673.4
201.8
52.3
657.0
525.8
144.6
411.7
64.9
90.3
75.1
229.2
331.7
162.9
144.5
90.9
87.9
162.2
145.5
89.8
642.2
201.9
1,483.4
662.2
75.0J
795.6
315.8!
272.6
754.2
65.9
P = 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.
87
ESTABLISHMENT DATA
HOURS
SEASONALLY ADJUSTED
B-7. Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry sector
and selected industry detail, seasonally adjusted
2005
2006
Industry
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.P
33.7
33.7
33.7
33.8
33.7
33.7
33.8
33.7
33.8
33.8
33.8
33.8
39.8
39.9
39.9
40.2
39.9
39.9
39.9
39.9
40.0
40.3
40.4
40.2
Natural resources and mining .
45.8
45.1
45.2
45.6
45.7
45.6
45.9
45.9
45.9
46.0
45.0
45.8
Construction
37.8
38.3
38.4
39.1
38.4
38.6
38.2
38.3
38.2
38.5
39.2
38.7
Manufacturing
Overtime hours.
40.7
4.5
40.6
4.6
40.4
4.5
40.5
4.4
40.4
4.4
40.4
4.4
40.5
4.5
40.6
4.6
40.7
4.5
41.0
4.6
40.8
4.6
40.8
4.5
Durable goods
Overtime hours.
41.1
4.6
41.0
4.7
40.8
4.5
40.9
4.5
40.8
4.4
40.9
4.5
41.0
4.6
41.1
4.7
41.2
4.6
41.6
4.8
41.3
4.7
41.2
4.5
40.8
42.0
43.0
40.9
42.0
39.9
40.2
42.3
42.2
39.5
38.6
39.9
42.0
43.1
40.8
41.9
39.8
40.0
42.3
42.4
39.4
38.6
39.6
41.7
42.8
40.7
42.0
39.4
40.1
42.0
41.8
39.5
38.8
39.5
41.9
42.6
40.8
42.0
39.8
40.2
42.2
41.9
39.3
38.9
39.7
41.9
42.5
40.8
41.9
39.8
40.2
41.8
41.4
39.1
38.6
39.6
41.9
42.7
40.7
41.9
39.8
40.3
42.1
42.0
39.1
38.7
39.6
41.7
43.1
40.9
42.0
40.1
40.8
42.3
42.1
39.2
38.3
39.6
41.6
43.2
40.9
42.0
39.9
40.9
42.7
42.9
39.2
38.7
39.6
41.9
43.4
40.8
42.1
40.2
41.3
42.7
42.7
39.3
38.8
40.8
42.6
43.5
41.6
42.2
40.5
41.4
43.0
42.9
39.2
39.0
40.5
43.5
43.5
41.2
42.0
40.3
41.0
42.7
42.4
38.5
38.6
40.1
42.7
43.4
41.1
41.9
40.3
41.0
42.6
42.2
38.2
38.6
40.0
4.4
39.9
4.4
39.7
4.4
39.9
4.3
39.7
4.3
39.7
4.3
39.7
4.3
39.7
4.4
39.9
4.4
40.1
4.4
40.0
4.4
40.1
4.6
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
38.9
40.4
40.3
39.5
35.9
37.2
42.5
38.6
44.6
42.8
40.0
39.3
39.8
39.8
39.4
35.8
37.4
42.1
38.5
44.7
42.3
40.1
38.8
40.1
39.9
39.4
36.0
37.2
42.1
38.3
45.1
42.2
39.8
39.0
40.3
40.2
39.0
36.0
37.8
42.2
38.3
46.1
42.4
39.8
38.9
38.9
40.3
38.8
35.1
38.4
42.3
38.3
45.8
42.3
39.7
38.8
40.0
40.4
37.8
35.4
38.7
42.3
38.2
45.8
42.1
39.7
39.0
40.0
40.2
38.2
35.5
39.0
42.3
38.4
45.4
42.1
39.6
38.8
40.0
40.1
38.7
35.8
38.6
42.4
38.4
45.2
41.6
39.9
38.8
39.5
39.9
38.7
35.8
38.5
42.8
38.6
47.4
42.0
40.0
38.9
40.8
40.2
38.8
36.1
38.7
42.9
38.5
47.3
42.9
40.0
39.0
40.1
40.6
39.6
35.9
39.5
42.5
38.3
45.8
42.3
40.1
39.3
40.0
41.0
39.9
35.9
39.4
42.5
38.3
44.6
42.5
40.4
Private service-providing
32.4
32.4
32.4
32.5
32.4
32.4
32.4
32.3
32.4
32.4
32.4
32.4
Trade, transportation, and utilities ....
33.5
33.5
33.4
33.5
33.4
33.3
33.3
33.2
33.3
33.3
33.4
33.4
Wholesale trade
37.7
37.8
37.7
37.8
37.7
37.6
37.6
37.5
37.7
37.8
37.8
37.9
Retail trade
30.7
30.7
30.6
30.7
30.6
30.5
30.5
30.4
30.5
30.4
30.6
30.5
37.1
Total private
Goods-producing
Wood products
Nonmetallic mineral products
Primary metals
Fabricated metal products
Machinery
Computer and electronic products ....
Electrical equipment and appliances
Transportation equipment
Motor vehicles and parts2.
Furniture and related products
Miscellaneous manufacturing
Nondurable goods .
Overtime hours...
Transportation and warehousing ...
37.5
37.3
37.2
37.3
37.0
37.0
36.9
36.6
36.7
36.8
36.7
Utilities
41.0
40.6
40.3
41.1
40.9
41.2
41.2
41.2
41.2
41.3
41.2
41.4
Information
36.4
36.4
36.5
36.5
36.7
36.4
36.6
36.5
36.6
36.7
36.5
36.7
Financial activities
35.9
35.8
35.9
36.0
36.0
36.1
36.1
36.0
36.0
36.1
35.9
35.9
Professional and business services .
34.2
34.0
34.0
34.2
34.2
34.1
34.3
34.1
34.3
34.3
34.3
34.3
Education and health services
32.6
32.6
32.6
32.6
32.6
32.6
32.7
32.5
32.7
32.7
32.5
32.6
Leisure and hospitality
25.7
25.7
25.7
25.8
25.8
25.8
25.8
25.7
25.8
25.7
25.7
25.6
Other services
30.9
30.9
30.9
31.1
30.9
31.0
31.0
30.9
30.9
30.9
30.9
30.9
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: Data have been revised to reflect March 2005 benchmark levels
and updated seasonal adjustment factors. See the article in this issue
for additional information.
88
ESTABLISHMENT DATA
HOURS
SEASONALLY ADJUSTED
B-8. 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)
2005
2006
Industry
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.P
101.3
101.6
101.8
102.4
102.2
102.4
102.9
102.7
103.1
103.1
103.5
103.7
96.9
97.5
97.6
98.6
98.0
98.1
98.1
98.3
98.6
99.6
100.5
100.0
Natural resources and mining .
110.3
109.5
110.7
112.7
113.2
114.1
114.9
115.9
116.3
117.6
116.0
118.8
Construction
102.6
105.0
105.6
106.3
106.7
107.6
106.5
107.2
107.2
108.5
111.7
110.0
93.2
Total private
Goods-producing
Manufacturing
93.9
93.7
93.4
93.3
93.2
93.4
93.7
93.9
94.7
94.6
94.7
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 parts2.
Furniture and related products
Miscellaneous manufacturing
95.3
102.6
97.5
93.2
98.5
96.8
90.2
87.0
96.1
95.6
93.5
91.3
95.2
100.4
97.2
93.7
98.1
96.8
90.5
86.2
96.9
97.1
92.9
91.3
94.8
99.7
96.2
93.0
98.2
97.5
90.3
86.1
96.2
95.3
92.9
91.0
95.2
99.2
97.0
92.5
98.5
98.0
92.2
85.6
96.9
95.3
91.7
90.7
95.1
99.0
96.3
92.3
98.6
98.3
92.6
86.0
96.5
94.4
91.2
90.2
95.4
99.1
96.8
92.7
98.5
98.4
93.6
85.9
96.5
94.3
91.2
90.7
95.6
99.0
95.6
93.6
98.9
99.1
95.3
87.0
96.0
92.5
91.3
90.0
96.1
99.1
95.4
93.8
99.0
98.8
96.0
87.3
97.6
95.7
91.2
91.2
96.3
99.5
95.7
94.5
98.8
99.1
97.9
87.8
96.7
96.7
91.3
91.0
97.7
102.4
97.2
95.0
100.5
100.3
99.8
88.1
98.8
96.4
91.0
91.5
97.4
102.4
99.5
95.2
100.3
99.0
100.3
87.7
98.8
95.4
89.2
90.7
97.5
102.1
97.7
95.0
100.4
99.0
100.8
88.1
99.3
95.1
88.6
90.7
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
91.5
96.0
91.9
75.1
90.4
70.3
77.7
88.8
92.6
103.2
98.2
92.7
91.0
96.8
90.9
73.6
89.9
69.6
77.1
88.0
91.7
103.2
96.9
92.6
90.4
95.6
91.8
73.0
90.3
68.8
76.4
88.0
90.8
103.0
96.6
92.3
90.7
85.8
93.3
72.0
89.7
68.2
77.0
87.8
91.2
105.8
97.0
92.0
90.1
95.5
91.6
72.4
89.9
65.5
77.4
88.0
91.1
105.3
96.7
91.3
89.9
95.2
95.0
72.1
87.5
65.8
78.0
87.5
90.7
104.7
96.2
91.0
89.9
95.6
95.3
71.0
88.9
66.3
79.6
87.5
90.9
102.5
96.5
90.9
89.6
94.8
95.8
70.3
89.9
65.4
79.6
87.6
90.6
101.2
95.0
91.5
90.0
94.5
94.9
69.4
91.2
64.8
79.6
88.1
91.2
105.3
96.4
91.9
90.2
94.5
100.3
69.3
92.2
64.0
79.6
87.9
90.8
105.3
97.9
91.9
90.2
95.2
98.9
69.2
94.2
64.5
81.0
87.1
90.5
100.6
96.9
92.1
90.2
95.9
98.2
69.1
94.3
64.1
81.5
86.8
90.0
97.2
97.4
92.6
102.6
102.9
103.1
103.6
103.4
103.7
103.9
103.8
104.1
104.1
104.5
104.6
100.8
101.0
100.9
101.5
101.4
101.3
101.5
101.3
101.3
101.3
102.0
102.1
Wholesale trade
100.1
100.7
100.8
101.2
101.3
101.2
101.4
101.3
102.0
102.3
102.8
103.2
Retail trade .
100.3
100.5
100.4
100.9
100.7
100.6
101.0
100.7
100.4
100.0
101.1
100.8
Transportation and warehousing ...
105.2
104.8
104.8
105.5
105.1
104.9
105.0
104.8
103.9
104.3
105.0
104.6
Utilities
93.1
91.9
91.0
93.2
92.9
93.7
94.1
94.4
94.5
94.9
95.1
95.3
Information
Private service-providing
Trade, transportation, and utilities
98.6
98.4
99.1
99.5
99.8
99.2
99.7
99.5
100.5
100.5
100.3
100.8
Financial activities
103.8
103.7
103.9
104.2
104.2
104.8
105.1
104.9
105.1
105.8
105.6
105.8
Professional and business services .
103.8
103.7
104.1
105.0
105.1
105.2
106.2
105.9
106.9
106.9
107.6
108.0
Education and health services
105.2
105.3
105.5
105.7
106.0
106.2
106.8
106.3
107.2
107.0
106.6
107.0
Leisure and hospitality
104.9
105.2
105.3
106.3
106.2
106.4
106.6
106.4
106.6
106.2
106.7
106.5
96.2
96.2
96.2
96.9
96.2
96.5
96.5
96.0
96.0
95.8
95.8
95.9
Other services
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 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 have
been revised to reflect March 2005 benchmark levels and updated seasonal
adjustment factors. See the article in this issue for additional information.
89
ESTABLISHMENT DATA
ALL-EMPLOYEE HOURS
SEASONALLY ADJUSTED
B-9. Hours of wage and salary workers on nonfarm payrolls by major industry, quarterly, seasonally adjusted
Millions of hours (annual rate)1
Percent change (annual rate)
Industry
Total
Private sector
Manufacturing
Durable goods
Nondurable goods
Trade, transportation, and utilities...
Information
Financial activities
Professional and business services
Education and health services
Leisure and hospitality
Other services
Government
2004
IV r
2005
III r
2005
IV r
2004IV
to
2005 IV r
2005 III
to
2005 IV r
227,724
229,956
231,121
1.5
2.0
186,618
188,666
189,839
1.7
2.5
1,855
13,776
27,708
17,469
10,239
42,876
5,560
13,787
28,233
27,822
16,719
8,283
1,934
14,158
27,544
17,486
10,058
42,936
5,484
14.146
28,819
28,407
16,950
8,288
1,961
14,526
27,751
17,659
10,092
43,109
5,476
14,210
29,038
28,479
16,937
8,351
5.7
5.4
.2
1.1
-1.4
.5
-1.5
3.1
2.9
2.4
1.3
.8
5.6
10.8
3.0
4.0
1.3
1.6
-.6
1.8
3.1
1.0
-.3
3.1
41,106
41,290
41,283
.4
-.1
1
Total hours at work for 1 week in the month, seasonally adjusted,
multiplied by 52.
r
= revised.
p
= preliminary.
NOTE: Data refer to hours of all employees-—production workers,
nonsupervisory workers, and salaried workers—and are based largely on
establishment data. See BLS Handbook of Methods, BLS Bulletin 2490,
chapter 10, "Productivity Measures: Business Sector and Major
Subsectors."
These hours measures are presented on an hours-worked basis. Hours
of production and nonsupervisory workers have been converted from
hours-paid using information from the Employment Cost Index. See
http://www.bls.gov/lpc/lprhws/lprhwhp.pdf These data also incorporate
estimates of the average weekly hours of supervisory and nonproduction
workers. See http://www.bls.gov/opub/mlr/2004/04/ art2fufl.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://ttp.bls.gov/pub/special.requests/opt/tableb9.txt
90
ESTABLISHMENT DATA
EARNINGS
SEASONALLY ADJUSTED
B-10. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major
industry sector and selected industry detail, seasonally adjusted
2006
2005
Industry
Jan.
Feb.
Mar.
Apr,
May
June
July
Oct.
Nov.
Dec.P
$16.16; $16.19
Aug.
Sept.
Jan.P
Average hourly earnings
Total private (in current dollars).
Goods-producing
Natural resources and mining
Construction
,
Manufacturing
Excluding overtime2.
Durable goods
Nondurable goods
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).
Goods-producing
Private service-providing
$16.00
$15.88
$15.91
$15.95
17.37
17.43
17.45
17.521
$16,031 $16.07
$16.14
$16.28
$16.28
$16.34
17.55i
17.59
17.63
17.68
17.66
17.74
17.74
17.77)
18.43
18.40
18.25
18.55J
18.58
18.66
18.74
18.88
19.03
19.04
18.95
18.88]
19.23
19.28
19.34
1S.3S
19.37
19.43
19.52
19.51
19.54
19.58
19.59
19.64]
16.38
15.52
17.11
15.19
16.42
15.54
17.17
15.20
16.43
15.56
17.17
15.22J
16.48
15.63
17.24
15.22
16.54
15.69|
17.29
15.31
16.56
15.70
17.32
15.291
16.58
15.71
17.36J
15.27
16.65
15.76
17.45
15.30
16.60
15.73
17.38
15.30
16.71
15.82
17.51
15.35
16.68
15.79
17.50|
15.29
16.71
15.84
17.53
15.32
15.49
15.51
15.56
15.60
15.63
15.67
15.75:
15.76J
15.80
15.89
15.89)
15.96
14.78
17.88
12.31
16.55
26.13
21.73
17.69
17.81
16.41
9.04
14.17
14.77
17.93
12.29
16.51
26.09
21.57
17.74
17.85
16.47
9.05|
14.20
14.81
17.95
12.31
16.61
26.29
21.72
17.81
17.88
16.551
9.06]
14.24
14.861
18.03!
12.35J
13.601
28.42
21.92
17.85;
17.94
16.58
9.09
14.26
14.87!
18.01
12.36
16.64
26.47
21.92
17.81
17.98
16.64
9.10
14.30
14.89
18.10
12.35
16.66
26.39
22.04
17.87
18.03
16.69
9.12|
14.31
15.00
18.22
12.45
16.75
26.98
22.17
17.95
18.11
16.76
9.13
14.35!
14.98;
18.21
12.41
16.78
26.84
22.21
17.92
18.14
16.79
9.16
14.39
14.98!
18.26
12.35
16.82
26.95
22.32
18.01
18.15
16.84
9.22
14.40
15.05
18.32
12.43!
16.82
15.04
18.45
12.35
16.85;
27.15
22.40
18.20
18.29
14.46
15.10
18.58)
12.39!
16.851
27.21
22.65
18.24
18.40
16.99
9.26
14.49
8.22!
9.00
8.01
8.191
8.96
7.99
8.16
8.94
7.
8.19]
8.96|
7
8.21
8.20
8.95)
8.00
8.16
8.92
7.96
8.06I
8.79
7.86
8.16
8.89
7.96
8.19|
8.91
8.00]
8.23
9.00 i
8.03
8.98J
8.00
27.17J
22.65
18.09
18.30
16.90
9.22
14.46
8.10
8.82
7.90
16.951
9.24J
Average weekly earnings
Total private (in current dollars).
$535.16 $536.17 $537.52 $540.30 $540.21 $541.56 $545.53 $544.59 $547.22 $550.26 $550.26 $552.29 $554.66
Goods-producing
691.33
695.46
696.26
704.30
700.25
701.84
703.44
705.43
706.40
714.92
716.70
Natural resources and mining ,
844.09
829.84
824.90
845.88
849.11
850.90
860.17
866.59
873.48
875.84
852.75! 864.70
Construction
726.89
738.42
742.66
757.76
743.81
750.00
745.66
747.23
746.43
753.83
767.93! 760.07
Manufacturing
Durable goods
Nondurable goods .
Private service-providing .
666.67
703.22
607.60
666.65
703.97
606.48
663.77
700.54
604.23
667.44
705.12
607.28
668.22
705.43
607.81
669.02
708.39
607.01
671.49
711.76
606.22
675.99
717.20
607.41
675.62
716.06
610.47
685.11
728.42
615.54
680.54
722.75
611.60
681.77'
722.24
614.33
501.88
502.52
504.14
507.00
506.41
507.71
510.30
509.05] 511.92
514.84
514.84
517.10
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
495.13 494.80 494.65 497.81 496.66; 495.84 499.50 497.34i 498.83 501.17 502.34 504.34]
674.08 677.75 676.72 681.53 678.981 680.56 685.07 682.88 688.40 692.50 697.41 704.18]
377.92 377.30 376.69 379.15! 378.22 376.68 379.73 377.26 376.68 377.87 377.91 377.90
620.63 615.82 617.89 619.18 617.34 616.42 619.75 619.18 615.61 617.29 620.08 618.40!
1,071.33 1,059.25 1,059.49 ,085.86 1,082.62 1,087.27 1,111.58 1,105.81 1,110.34 1,122.12 1,118.58 1,126.49
790.97 785.15 792.78 800.08 804.46 802.26 811.42 810.67 816.91 831.26 817.60 831.26
635.07 635.09 639.38 642.60 641.16 645.11 648.00 645.12 648.36 653.05 653.38 654.82
609.10 606.90 607.92 613.55 614.92 614.82 621.17 618.57 622.55 627.69 627.35 631.12]
534.97 536.92 539.53 540.51 542.46 544.09 548.05 545.68 550.67 552.63 550.88 553.87
232.33 232.59 232.84 234.52 234.78 235.30 235.55 235.41 237.88 236.95 237.47 237.06
437.85 438.78 440.02 443.49 441.87 443.61 444.85 444.65 444.96 446.81 446.81 447.74
277.43
358.39
260.18
276.95
359.23
259.57
276.08| 275.92
357.61 359.34
258.93 258.67
275.90
357.64
258.64
276.59
358.45
259.30
277
357.26
259.17
274.91
356.10
256.97
272.38
351.62
254.81
273.63
355.50
256.01
275.68
359.07
257.94
276.98
358.25
259.33
(CPI-W) is used to deflate these series.
4
Data not available.
p
= preliminary
NOTE: Data have been revised to reflect March 2005 benchmark levels
and updated seasonal adjustment factors. See the article in this issue
for additional information.
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
Derived by asssuming that overtime hours are paid at the rate of time
and one-half.
3
The Consumer Price Index for Urban Wage Earners and Clerical Workers
714.35
91
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry
(In thousands)
Production workers 1
All employees
2002
NAICS
code
Industry
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P I
110,644
90,255
88,140
92,283
92,168
21,758
15,867
15,413
16,421
16,190
644
637
450
441
489
487
64.2
62.8
60.9
57.0
54.6
53.2
52.2
525.4
581.1
581.1
576.4
392.6
386.7
435.9
434.7
123.0
128.5
128.2
127.5
71.8
69.8
74.9
74.3
204.4
71.7
199.0
72.1
216.8
75.2
212.3
75.8
207.1
76.0
158.0
58.9
154.2
59.5
170.8
63.4
167.8
64.6
33.5
33.6
34.8
35.0
27.0
27.3
28.9
29.2
38.2
28.3
38.5
28.7
40.4
29.9
40.8
30.6
31.9
20.9
32.2
21.4
34.5
23.0
35,4
23.8
104.4
47.9
98.2
44.7
111.7
50.0
105.9
46.1
78.2
36.2
73.3
33.5
84.4
38.0
79.4
34.9
24.5
23.4
22.8
21.9
27.0
23.0
23.9
22.2
18.8
17.4
17.3
16.2
20.6
17.4
17.9
17.0
43.4
40.6
48.1
45.5
32.6
30.5
36.4
34.0
31.8
13.1
28.9
12.9
35.3
13.6
33.0
14.3
23.9
9.4
21.7
9.3
27.1
10.0
25.1 I
10.5
204.1
203.4
235.8
240.6
241.8
162.8
162.7
190.2
192.6 |
Dec.
2005 P
Jan.
2006 P
135,316
135,044
132,419
112,985
112,825
21,414
22,402
22,157
601
591
645
67.4
65.3
21
533.2
211
124.7
212
Mining, except oil and gas
2121
Coal mining
Bituminous coal and lignite surface
mining
212111
Bituminous coal underground
mining and anthracite mining
212112,3
Metal ore mining
2122
Nonmetallic mineral mining and
quarrying
2123
21231
Stone mining and quarrying
Crushed and broken limestone .
mining
212312
Other stone mining and quarrying ... 212311,3,9
Sand, gravel, clay, and refractory
mining
21232
Construction sand and gravel
212321
mining
Other nonmetallic mineral mining
21239
Support activities for mining
Support activities for oil and gas
operations
Total nonfarm...
Total private.
Goods-producing.
Natural resources and mining....
Logging
Mining
Oil and gas extraction
1133
213
213112
Construction..
Construction of buildings
236
2361
Residential building
New single-family general
contractors
236115
New multifamily general contractors ..| 236116
236118
Residential remodelers
Nonresidential building
2362
Industrial building
23621
Commercial building
23622
Dec.
2004
Jan.
2005
Nov.
2005
133,075
130,368
111,025
108,741
21,918
135.9
135.2
152.6
154.5
103.8
103.7
120.0
120.1 |
7,012
6,682
7,524
7,286
7,016
5,340
5,026
5,801
5,572 j
1,664.5
925.0
1,615.2
900.4
1,738.8
969.1
1,722.1
965.3
1,681.5
945.2
1,123.6
611.0
1,075.5
588.3
1,188.0
649.3
1,171.8
646.0
579.6
27.8
283.0
739.5
168.1
571.4
567.1
27.9
270.7
714.8
163.7
551.1
611.0
32.9
288.3
769.7
166.5
603.2
610.4
32.6
284.1
756.8
160.1
596.7
377.1
365.7
403.3
401.0
196.8
512.6
126.8
385.8
186.2
487.2
122.0
365.2
206.0
538.7
127.5
411.2
206.0
525.8
120.8
405.0
736.3
Heavy and civil engineering construction ..,
Utility system construction
,
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
883.3
382.6
189.7
69.8
809.9
363.4
174.6
66.9
1,005.3
423.6
203.9
76.2
932.2
411.8
192.5
77.7
680.3
315.6
152.5
60.8
606.6
296.4
138.9
56.9
785.4
354.1
167.4
68.2
710.1
341.9
156.7
69.6 I
23713
2372
123.1 • 121.9
86.2
86.4
143.5
94.3
141.6
96.2
102.3
36.3
100.6
35.2
118.5
37.7
115.6
37.5
2373
2379
317.5
97.0
268.5
91.6
372.9
114.5
312.1
112.1
253.8
74.6
205.7
69.3
308.4
85.2
248.8
81.9
Specialty trade contractors
238
4,464.3
4,256.5
4,779.7
4,631.3
4,464.9
3,535.6
3,344.2
3,827.7
3,689.9
2,168.6
2,069.0
2,370.9
2,316.8
2,232.3
part 238
2,295.7
2,187.5
2,408.8
2,314.5
2,232.6
2381
1,013.8
951.9
1,119.7
1,073.0
846.2
785.0
944.5
896.2
part 2381
563.6
527.4
623.0
604.1
part 2381
23811
450.2
208.0
424.5
191.2
496.7
247.5
468.9
232.7
176.4
160.3
213.8
199.8
23812
23813
82.5
154.1
78.5
148.3
91.0
175.0
85.2
168.1
68.2
139.6
64.6
132.4
75.0
160.3
68.4
152.7
Residential specialty trade contractors ... part 238
Nonresidential specialty trade
contractors
Building foundation and exterior
contractors
Residential building foundation and
exterior contractors
Nonresidential specialty trade
contractors
Poured concrete structure contractors
Steel and precast concrete
contractors
Framing contractors
See footnotes at end of table.
92
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
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 buildingfinishingcontractors
Other specialty trade contractors
Other residential trade contractors
Other nonresidential trade-contractors .
Site preparation contractors
All other specialty trade contractors
2002
NAICS
code
Nov.
2005
Dec.
2004
Jan.
2005
226.5
55.5
199.8
45.4
42.0
1,882.9
213.1
54.6
183.5
42.6
40.1
1,842.7
239.0
55.5
230.6
55.9
211.8
50.8
49.1
1,925.7
203.8
49.5
47.2
1,915.1
part 2382
776.6
764.6
817.9
816.9
part 2382
23821
23822
23829
2383
1,106.3
863.1
907.2
112.6
941.8
1,078.1
840.9
892.5
109.3
906,6
1,107.8
881.8
930.7
113.2
1,012.8
1,098.2
875.5
929.1
110.5
985.6
part 2383
557.9
537,5
619.1
606.6
part 2383
23831
23832
23833
23834
23835
23839
383.9
369.1
334.0
393.7
370.8
247.1
86.8
73.2
169.3
379.0
367.5
230.9
86.4
72.7
65.6
23814
23815
23816
23817
23819
2382
2389
part 2389
part 2389
23891
23899
Manufacturing
Durable goods
348.8
219.2
83.6
69.0
156.5
64.7
625.8
270.5
206.9
83.5
66.7
153.4
62.1
555.3
Dec.
2005 P
Jan.
2006 P
165.3
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
201.0
37.2
158.1
186.8
36.2
143.5
211.2
36.6
203.1
36.2
172.2
163.7
1,444.3
1,411.4
1,488.1
1,479.3
667.0
690.7
649.1
678.5
685.5
715.7
680.0
86.6
754.0
83.8
721.5
86.9
716.2
83.1
818.1
795.6
299.4
179.3
56.9
54.9
322.7
208.0
56.6
56.3
126.5
48.0
577.0
320.8
192.7
58.0
54.7
115.5
48.0
491.1
287.0
166.4
56.7
52.8
112.2
46.4
426.3
261.7
229.4
234.1
192.2
303.0
274.0
283.9
234.9
10,131
124.0
45.4
239.5
310.9
355.3
330.5
295.3
315.8
300.7
254.6
410.6
374.5
347.0
62.8
657.6
289.2
368.4
352.0
305.6
14,305
14,141
14,233
14,227
14,105
10,077
9,946
10,131
8,972
8,882
8,970
8,984
8,918
6,185
6,116
6,287
6,317
552.2
447.6
103.1
440.5
102.5
452.7
102.8
453.2
102.5
721.5
518.8
Wood 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
321
3211
553.9
120.0
546.0
119.0
556.6
118.7
556.6
118.6
3212
118.6
118.0
122.8
122.4
95.1
94.4
101.1
101.1
321211,2
44.4
44.2
43.8
43.4
38.0
37.8
38.4
38.2
321213,4
3219
32191
321911
55.5
315.3
156.7
77.7
55.1
309.0
156.8
77.3
58.9
315.1
158.2
79.1
59.1
315.6
157.3
40.2
243.6
122.5
59.9
44.5
248.8
123.9
61.2
44.8
249.6
123.0
78.9
40.6
249.4
122.7
60.5
321912,8
32192
32199
321991
79.0
60.8
97.8
44.1
79.1
55.3
101.6
49.0
78.4
55.6
102.7
48.7
62.2
51.2
75.5
37.0
62.6
49.5
71.6
34.7
62.7
45.0
79.9
41.2
• 61.7
44.8
81.8
40.8
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 containers
Glass products made of purchased
327
3271
505.3
64.1
79.5
58.6
93,6
41 7
486.6
62.7
505.6
59.6
497.3
59.0
388.3
51.1
372.4
49.8
387.0
47.6
379.4
47.1
32711
32712
3272
28.5
35.6
110.3
27.3
35.4
108.8
25.3
34.3
108.1
25.4
33.6
108.2
23.7
27.4
85.0
22.6
27.2
83.3
20.2
27.4
81.2
20.6
26.5
81.1
327211,2
327213
37.9
18.1
37.4
17.8
37.1
17.7
37.2
17.7
28.1
27.4
27.8
27.8
327215
3273
32732
32731,3,9
54.3
235.4
119,7
115.7
53.6
222.3
108.6
113.7
53.3
245.2
129.2
116.0
53.3
237.9
122.2
115.7
41.1
180.9
40.0
170.8
88.4
82.4
37.8
191.2
107.4
83.8
37.6
184.9
101.4
83.5
3274,9
95.5
469.8
92.8
467.0
92.7
470.7
92.2
471.6
366.5
68.5
363.2
67.0
331
367.0
66.3
369.3
3311
97.2
95.8
75.2
73.9
71.0
72.8
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
See footnotes at end of table.
93
490.2
97.9
83.0
71.3
472.8
61.3
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry-—Continued
(In thousands)
Production workers1
All employees
Industry
Durable goods-Continued
Steel products from purchased steel
Iron, steel pipe, and tube from
purchase steel
Rolling 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 AL,
shaping
Foundries
Ferrous metal foundries
Iron foundries
Steel foundries
Nonferrous metal foundries
2002
NAICS
code
Dec.
2004
Nov.
2005
Jan.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005P I
3312
61.2
60.4
59.8
58.6
48.2
47.4
47.4
47.1 !
33121
27.0
26.8
26.0
25.8
21.7
21.5
20.3
20.3 I
33122
331221
3313
3314
34.2
23.6
73.0
71.6
33.6
23.4
72.7
71.4
33.8
23.9
75.3
70.8
32.8
22.8
75.2
70.8
26.5
25.9
27.1
26.8
56.7
53.0
56.5
52.2
59.7
54.7
59.8
54.7
33142
39.0
38.7
37.7
38.5
30.9
30.6
30.4
31.4
22.6
166.8
92.8
61.7
31.1
74.0
22.4
166.7
91.9
60.1
31.8
74.8
22.8
168.6
96.8
62.1
34.7
71.8
22.0
168.9
96.8
62.1
34.7
72.1
16.1
133.4
75.1
50.4
24.7
58.3
15.6
133.2
74.0
49.0
25.0
59.2
16.4
134.2
78.7
51.1
27.6
55.5
15.5
134.9
79.0
51.4
27.6
55.9
Fabricated metal products
1,512.9
Forging and stamping
109.5
25.6
Iron and steel forging
Metal stamping
57.7
Cutlery and hand tools
57.6
Hand and edge tools
36.5
394.8
Architectural and structural metals ....
Plate work and fabricated structural
products
33231
169.5
Prefabricated metal buildings and
components
332311
32.8
Fabricated structural metal products . 332312
89.8
Plate work
332313
46.9
Ornamental and architectural metal
products
33232
225.3
332321
Metal windows and doors
84.0
332322
Sheet metal work
102.3
Ornamental and architectural metal
332323
39.0
work
3324
91.2
Boilers, tanks, and shipping containers
37.7
3325
Hardware
60.9
3326
Spring and wire products
336.2
3327
Machine shops and threaded products
249.2
33271
Machine shops
Turned products and screws, nuts,
33272
87.0
and bolts
332721
44.1
Precision turned products
Bolts, nuts, screws, rivets, and
J332722
42.9
washers
Coating, engraving, and heat treating
3328
143.8
metals '.
Metal heat treating and coating and
332811,2
69.9
nonprecious engraving
Electroplating, anodizing, and
332813
73.9
coloring metals
281.2
Other fabricated metal products
3329
98.8
Metal valves
33291
37.6
Fluid power valves and hose fittings .. 332912
15.3
Plumbing fixture fittings and trims
332913
Industrial valves and other metal
valves and pipe fittings
332911,9
45.9
All other fabricated metal products
33299
182.4
332991
Bali and roller bearings
34.4
Small arms, ammunition, and other
ordnance and accessories
332992,3,4,5|
41.8
Miscellaneous fabricated metal
products
332996,7,8,9|
106.2
1,505.9
110.1
25.7
58.1
57.5
36.4
388.5
1,525.7
111.3
27.7
56.3
54.6
35.6
398.6
1,527.8
112.7
28.1
57.0
53.8
35.2
393.4
1,120.1
84.0
19.2
44.6
41.9
27.2
283.6
,114.1
84.5
19.4
45.0
41.6
27.0
278.9
1,135.2
84.3
20.6
43.8
39.7
26.6
290.9
166.2
170.7
170.3
121.0
118.4
124.4
124.3
31.4
88.4
46.4
32.4
91.2
47.1
31.8
91.0
47.5
64.8
36.0
63.1
35.9
66.1
36.4
66.1
36.6
222.3
82.7
100.9
227.9
86.1
103.6
228.1
85.9
104.6
162.6
57.5
77.7
160.5
57.2
76.1
166.5
59.4
78.6
166.5
59.0
79.7
38.7
90.1
36.8
60.4
339.0
251.7
38.2
89.9
33.0
59.4
346.2
261.6
37.6
89.8
33.2
59.3
345.7
260.5
27.4
73.2
28.7
46.3
253.7
186.6
27.2
72.2
27.9
45.8
256.1
188.9
28.5
71.3
25.8
44.6
264.7
199.0
27.8
70.2
25.7
44.7
264.6
198.5
87.3
44.1
84.6
43.5
85.2
43.8
67.1
34.9
67.2
35.0
65.7
34.0
66.1
34.3
43.2
41.1
41.4
32.2
32.2
31.7
31.8
144.6
143.2
143.9
114.8
114.9
113.5
114.4
70.6
68.9
68.8
53.3
53.5
53.1
53.4
74.0
278.9
98.1
36.5
15.4
74.3
289.5
99.2
37.3
14.6
75.1
291.0
100.0
37.6
14.6
61.5
193.9
68.3
61.4
192.2
61.0
203.3
67.6
26.2
60.4
200.4
69.6
26.6
46.2
180.8
33.7
47.3
190.3
35.5
47.8
191.0
35.8
125.6
26.6
29.7
124.6
26.0
31.7
130.8
26.8
32.2
132.7
27.4
41.3
42.2
42.3
22.5
22.0
21.8
21.8
Machinery.
Agricultural, construction, and mining
machinery
33149
3315
33151
331511
331512,3
33152
332
3321
332111
332116
3322
332212
3323
333
3331
105.8
112.6
112.9
1,153.6
1,149.4
1,163.6
1,169.9
200.2
199.6
213.5
215.7
See footnotes at end of table.
94
1,522.9
27.1
29.8
1,159.8
1,138.4
86.0 |
21.8
43.6
38.7
26.2
290.8
70.6 I
27.1
76.5
76.6
82.2
83.5
734.0
734.2
750.4
755.4
128.2
127.5
137.3
139.1
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers 1
All employees
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
heating
Metaiworking machinery
Industrial molds
Metal cutting and forming machine
tools
,
Special tools, dies, jigs, and fixtures ..
Miscellaneous metaiworking
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 general 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
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
Automatic environmental controls
Industrial process variable
instruments
Electricity and signal testing
instruments
Irradiation apparatus
Miscellaneous electronic
instruments
2002
NAICS
code
Dec.
2004
Jan.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
33311
333111
33312
81.0
57.9
66.7
79.7
57.3
66.7
81.1
59.1
73.7
81.4
58.1
74.5
57.6
40.7
39.5
56.7
40.2
39.2
58.1
42.0
43.2
58.8
41.6
43.5
33313
3332
52.5
122.8
53.2
122.9
58.7
125.0
59.8
125.0
66.2
66.4
65.9
64.5
3333
333313
112.8
10.9
112.3
10.8
110.9
10.6
110.5
10.7
67.5
66.9
68.9
68.5
333315
14.5
14.4
13.8
13.3
10.6
10.5
9.6
9.1
333311,2,4,9|
87.4
87.1
86.5
86.5
52.6
52.2
53.4
53.6
3334
151.6
152.6
152.0
154.8
101.5
103.6
105.5
107.5
333415
3335
333511
104.0
203.4
42.6
103.6
200.9
42.4
103.4
200.6
40.4
104.2
202.4
41.0
69.9
141.2
31.8
70.0
140.3
31.2
74.2
144.9
333512,3
333514
40.8
77.7
40.0
76,9
42.1
76.7
42.8
77.2
25.0
58.1
25.1
57.8
74.1
141.8
30.9
26.8
57.7
333515,6,8
42.3
41.6
41.4
41.4
26.3
26.2
26.4
26.4
3336
95.3
95.2
97.8
98.0
64.3
63.8
63.5
63.3
333611
18.6
18.5
19.3
19.3
76.7
267.5
52.2
20.9
76.7
266.8
52.0
78.5
263.8
53.2
165.1
27.8
52.8
165.7
28.0
52.6
167.5
26.4
52.5
167.6
26.4
20.8
49.0
19.1
78.7
263.5
48.9
31.3
74.8
31.2
74.6
28.8
140.0
29.9
75.1
27.5
139.7
29.7
75.6
27.3
139.0
16.7
49.4
16.9
87.9
16.6
50.1
16.8
87.6
16.6
52.0
16.1
89.1
16.6
52.9
16.5
88.3
1,315.2
205.4
113.0
29.7
1,322.2
206.0
112.1
31.3
1,323.7
206.1
112.2
31.5
1,312.8
203.1
662.7
92.8
667.0
98.7
738.5
131.6
744.3
133.4
62.6
148.4
40.4
62.4
148.9
40.3
146.9
61.6
63.9
66.7
67.0
44.1
62J
149.8
44.9
78.4
32.6
78.4
32.0
81.4
32.1
81.8
32.1
32.0
17.2
33.0
16.7
36.4
17.8
36.3
18.2
451.6
62.1
448.6
60.8
220.7
50.9
450.2
59.0
224.0
51.7
450.9
58.9
225.2
51.4
258.8
39.3
109.3
35.8
256.2
38.2
108.7
35.3
266.1
37.1
115.7
36.7
268.8
36.6
119.2
36.2
436.3
56.7
116.2
434.3
56.2
115.5
442.3
57.9
115.4
442.8
58.8
74.4
199.2
29.7
74.0
198.7
29.6
76.6
223.6
30.7
76.8
224.2
31.3
334511
334512
154.7
28.3
153.8
28.1
158.0
27.3
158.4
26.6
49.3
48.5
66.9
68.1
334513
59.7
59.5
60.0
60.5
32.5
32.4
34.9
35.7
334515
334517
44.7
11.3
44.4
11.4
45.2
11.8
45.0
11.8
18.8
3.3
19.0
3.4
20.5
3.9
20.1
3.9
334514,6,8,9]
80.9
80.9
82.1
81.7
45.0
45.1
48.1
47.1
333612,3,8
3339
33391
333912
333911,3
33392
333922
33399
334
3341
334111
334112
334113,9
3342
33421
J 33422
3343
3344
J334412
334413
334418
334411,4,5,6,
.17,9
J 3345
33451
29.2
140.5
1,318.2
205.1
112.7
29.6
62.8
147.4
221.3
51.9
116.3
See footnotes at end of table.
Nov.
2005
95
31.8
27.9
58.8
19.2
447.6
440.9
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
Durable goods-Continued
Magnetic media manufacturing and
reproduction
2002
NAICS
code
3346
3346
Jan.
2005
Dec.
2004
Nov.
2005
Dec.
2005 P
45.2
45.1
43.2
42.9
442.7
63.2
13.6
49.6
88.9
18.7
440.3
62.6
13.5
49.1
88.9
19.0
434.3
59.6
12.7
46.9
85.0
18.5
435.6
59.0
12.6
46.4
85.2
18.2
335211
33522
12.6
70.2
12.7
69.9
12.6
66.5
12.6
67.0
335222
3353
22.3
152.7
22.1
152.4
20.5
152.8
335311
335312
26.2
51.2
26.4
50.9
335313
335314
32.2
43.1
3359
33591
33592
33593
335931
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005P I
307.7
44.2
10.5
33.7
73.1
305.3
43.8
10.5
33.3
72.5
301.6
42.2
9.5
32.7
67.9
304.5
42.4
9.5
32.9
68.4
20.4
154.1
93.2
93.1
94.2
95.7
27.0
48.8
26.7
50.0
36.2
35.9
35.2
36.3
31.9
43.2
32.9
44.1
33.1
44.3
20.8
20.6
20.6
20.8
20.7
22.3
20.9
22.3
137.9
27.3
136.4
27.2
136.9
28.3
137.3
28.9
97.2
95.9
97.3
98.0
22.1
53.4
40.5
22.0
52.5
39.7
22.1
51.4
39.4
22.2
51.6
39.5
39.0
28.9
38.3
28.4
38.6
28.9
38.9
29.0
Electrical equipment and appliances
Electric lighting equipment
Electric lamp bulbs and parts
Lighting fixtures
Household appliances
Small electrical appliances
Electric housewares and household
fans.,
Major appliances
Household refrigerators and home
freezers
Electrical equipment
Electric power and specialty
transformers
Motors and generators
Swltchgear 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
335
3351
33511
33512
3352
33521
35.1
34.7
35.1
34.6
21.6
21.2
22.2
Transportation equipment
336
1,785.5
1,754.7
1,776.3
1,785.9
1,764.8
1,278.8
1,253.5
1,291.5
3361,2,3
3361
33611
336111
336112
33612
3362
336211
336212
1,120.2
258.3
220.6
144.0
76.6
37.7
165.6
63.5
34.9
1,094.8
240.5
202.7
139.1
63.6
37.8
166.9
64.4
34.9
1,095.7
254.0
216.5
143.5
73.0
37.5
171.6
65.3
37.9
1,099.6
256.7
219.1
144.9
74.2
37.6
172.5
66.2
37.8
1,085.6
911.8
209.5
178.6
110.9
67.7
30.9
135.2
52.6
27.1
889.1
192.1
161.3
106.4
54.9
30.8
137.7
54.0
27.3
895.6
204.9
174.1
110.0
64.1
30.8
141.0
55.1
29.9
903.1
208.4 I
177.5
111.7
65.8
30.9
143.3
55.6 I
30.1
67.6
687.4
68.4
670.1
68.5
670.4
55.5
567.1
56.4
559.3
56.0
549.7
57.6 I
551.4 I
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
Motor homes, travel trailers, and
campers
Motor vehicle parts
Motor vehicle gasoline engine and
parts
Carburetors, pistons, rings, and
valves
Gasoline engine and engine parts
Motor vehicle electric equipment
Vehicular lighting equipment
Other motor vehicle electric
equipment
Motor vehicle steering and
suspension parts
Motor vehicle brake systems
Motor vehicle power train components ,
Motor vehicle seating and interior trim ..
Motor vehicle metal stamping
Other motor vehicle parts
Aerospace products and parts
Aircraft
Aircraft engines and engine parts
Other aircraft parts and equipment...
Guided missiles, space vehicles,
and parts
Railroad rolling stock
Ship and boat building
,
33599
336213,4
3363
67.2
696.3 .
22.0 I
1,308.1
33631
80.9
79.4
73.9
73.1
65.8
64.5
61.1
60.1
336311
336312
33632
336321
15.5
65.4
99.1
16.4
15.5
63.9
97.2
16.5
14.5
59.4
96.6
16.9
14.4
58.7
96.1
17.0
53.9
82.5
52.5
81.1
50.0
81.8
49.1
81.5 I
336322
82.7
80.7
79.7
79.1
69.9
68.5
68.6
68.3
33633
33634
33635
33636
33637
33639
3364
336411
336412
336413
44.4
44.5
87.8
65.6
101.3
172.7
450.2
209.3
80.5
87.0
43.0
43.7
86.8
65.1
99.0
173.2
445.3
207.1
80.5
85.0
43.0
42.2
84.6
64.8
94.2
170.8
464.5
215.7
81.5
90.9
43.1
42.3
85.7
64.7
94.5
170.9
467.9
216.6
82.3
92.5
38.5
37.5
38.4
38.7
73.2
49.7
83.2
139.0
200.9
88.8
44.7
55.1
72.2
49.0
81.2
139.1
199.2
88.0
44.8
54.4
70.5
50.8
78.0
135.2
228.1
94.0
45.8
58.8
71.7
50.8
78!4
136.2
235.2
95.2
47.7
59.8
336414,5,9
3365
3366
73.4
27.7
149.2
72.7
27.4
148.8
76.4
27.0
150.7
76.5
27.3
153.0
118.9
118.4
121.2
123.4
See footnotes at end of table.
436.4
96
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry
(In thousands)
Continued
_
Production workers1
All employees
Industry
Durable goods-Continued
Ship building and repairing ...
Boat building
Other transportation equipment.
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.
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
2002
NAICS
code
Dec.
2004
Dec.
2005 P
89.8
59.4
38.2
88.9
59.9
38.4
86.7
64.0
38.4
87.6
65.4
38.1
572.7
384.8
568.0
380.8
557.8
377.8
559.0
378.8
33711
166.0
166.0
172.1
33712
337121
218.8
89.0
214.8
87.6
337122
82.9
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P I
49.0
68.9
49.5
68.0
53.2
68.9
54.5
442.7
308.8
437.4
304.8
430.9
304.1
432.3
305.0
173.6
131.6
131.0
137.9
139.1
205.7
84.9
205.2
85.6
177.2
74.7
173.8
72.9
166.2
70.4
165.9
70.9
81.4
77.5
77.0
68.0
67.1
63.9
63.5
46.9
135.5
45.8
134.8
43.3
126.9
42.6
126.7
34.5
96.9
33.8
95.8
31.9
88.5
31.5
88.7
337211,2
337214
41.0
27.2
42.4
26.8
40.4
25.8
40.0
26.2
29.1
30.0
27.6
27.5
337215
3379
67.3
52.4
66.6
52.4
60.7
53.1
60.5
53.5
50.0
37.0
48.2
36.8
44.6
38.3
44.6
38.6
339
3391
339112
339113
339116
3399
33991
33992
657.7
302.4
103.9
87.5
50.2
355.3
45.7
53.6
19.2
24.0
76.4
136.4
649.3
303.6
656.7
305.4
107.2
88.1
656.8
307.1
108.5
436.5
193.8
59.8
51.9
41.1
242.7
33.1
36.9
428.0
193.4
61.1
51.2
40.0
234.6
32.0
36.2
431.8
194.1
64.2
50.8
38.9
237.7
31.8
34.2
431.7
194.3
64.9
51.7
38.3
237.4
31.8
34.1 r
13.3
48.0
95.9
49.7
100.1
5,333
14.6
49.3
98.5
3,892
3,830
3,844
3,814
1,177.4
31.9
41.5
1,152.6
31.5
40.5
1,173.6
31.7
39.7
1,164.4
31.2
39.7
30.6
29.2
29.0
28.9
72.7
13.7
44.2
66.8
11.7
41.4
67.9
14.0
43.2
65.4
12.1
42.7
134.5
71.7
25.1
46.6
141.0
74.8
26.9
47.9
133.3
72.2
25.5
46.7 |
337124,5,7,9|
3372
651.9
89.6
48.5
349.7
132.1
46.1
50.8
17.0
22.2
78.2
137.0
45.8
50.5
17.5
22.3
78.7
134.9
5,259
5,263
5,243
5,187
1,488.7
49.5
61.0
1,459.8
48.7
59.6
1,474.1
47.2
58.9
1,471.1
47.3
59.3
1,442.8
46.7
14.3
86.0
16.8
49.7
44.9
14.7
79.8
44.8
14.1
84.8
17.2
49.9
45.0
14.3
83.4
15.5
50.0
164.0
29.9
56.7
171.0
89.0
30.5
58.5
87.0
. 29.1
57.9
137.8
73.1
25.6
47.5
33995
33999
31121,2
31123
3113
31131
31132,3
3114
31141
311411
311412
86.9
49.2
345.7
44.4
53.0
553.7
49.4
351.3
33993
33994
311
3111
3112
106.1
167.6
.
88.3
30.5
57.8
18.3
22.9
75.0
14.8
46.7
183.6
86.6
13.3
13.2 1
50.5
98.3
31142
79.3
77.0
82.0
77.0
64.7
62.8
66.2
61.1
311421,2
311423
3115
31151
311511
31152
3116
311611
68.9
66.9
10.4
130.4
109.3
54.2
21.1
506.2
149.1
10.1
129.8
108.7
54.2
21.1
501.6
70.8
11.2
129.8
107.0
55.8
22.8
505.0
66.1
10.9
131.3
108.2
56.1
23.1
8.9
85.7
73.7
32.9
8.6
86.1
73.7
33.3
9.8
90.5
75.5
37.1
9.4
92.0
76.6
37.4
505.9
147.7
149.2
151.7
438.7
132.4
434.2
130.7
436.3
130.7
437.2
133.1
311612,3
311615
121.6
235.5
119.8
234.1
119.5
236.3
120.6
233.6
95.2
211.1
93.5
210.0
94.1
211.5
95.4
208.7
3117
3118
36.8
289.0
40.6
277.2
37.6
283.0
36.6
283.7
29.6
225.3
33.2
214.6
31.5
219.6
29.8
219.2
See footnotes at end of table.
Nov.
2005
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
Fruit, vegetable, and specialty
canning
Dried and dehydrated food
Dairy products
Dairy products, except frozen
Fluid milk
Ice cream and frozen desserts
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
Jan.
2005
97
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry-—Continued
(In thousands)
Industry
Nondurable goods-Continued
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 .
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005P I
31181
311811
215.4
70.6
206.8
66.5
211.3
67.9
212.9
70.4
163.5
58.2
155.1
54.1
159.2
56.0
159.4
57.9
311812,3
31182,3
3119
31191
31192,3,4,9
144.8
73.6
162.2
50.5
111.7
140.3
70.4
158.9
46.8
112.1
143.4
71.7
156.8
47.3
109.5
142.5
70.8
159.6
47.1
112.5
105.3
61.8
114.2
39.8
74.4
101.0
59.5
111.2
36.8
74.4
103.2
60.4
115.4
37.9
77.5
101.5
59.8
116.6
36.7
79.9
312
3121
31211
312111
31212,3,4
3122
193.2
163.8
100.4
77.6
63.4
29.4
188.1
161.1
98.7
74.7
62.4
27.0
193.2
168.7
99.1
77.7
69.6
24.5
192.0
167.4
98.8
77.7
68.6
24.6
190.3
108.1
87.6
50.1
37.5
37.5
104.0
85.3
48.7
35.8
36.6
116.0
99.2
57.3
44.0
41.9
115.1
98.4
56.9
44.6
41.5
228.5
52.5
110.4
67.1
65.6
31.4
224.0
51.4
107.8
66.3
64.8
31.0
210.0
48.2
100.6
58.2
61.2
28.6
206.9
48.1
97.4
56.7
61.4
28.9
206.3
184.6
46.1
87.6
58.1
50.9
23.9
180.7
45.3
85.2
57.1
50.2
23.5
167.1
42.0
77.7
49.8
47.4
22.0
163.7
41.6
74.2
48.0
47.9
22.3
171.4
96.3
49.1
47.2
75.1
32.2
42.9
169.9
96.8
49.7
47.1
73.1
31.6
41.5
172.9
98.1
48.9
49.2
74.8
35.1
39.7
172.2
96.9
47.7
49.2
75.3
35.0
40.3
174.9
137.5
78.1
135.8
78.7
141.5
85.0
140.0
39.5
59.4
24.6
34.8
39.4
57.1
23.8
33.3
42.2
56.5
27.4
29.1
270.5
40.3
24.7
208.3
87.9
263.9
39.9
24.7
202.5
85.4
253.7
35.1
22.5
198.4
85.7
249.8
34.2
22.5
195.7
84.9
245.9
210.9
32.3
19.7
162.4
74.8
203.9
31.7
19.4
156.4
71.6
194.6
27.7
17.4
151.0
67.6
189.6
26.7
17.0
147.4
65.5
20.5
20.3
17.9
17.2
17.5
17.1
14.5
13.9
67.4
54.1
46.7
19.6
21.9
65.1
52.9
46.2
18.0
21.5
67.8
49.2
44.6
18.9
20.2
67.7
48.5
43.6
18.7
19.9
57.3
42.6
30.3
54.5
41.5
30.2
53.1
38.6
30.7
51.6
38.2
29.7
40.2
18.3
39.3
18.4
39.5
17.4
39.9
17.5
Soft drinks and ice
Soft drinks
Breweries, wineries, and distilleries .
Tobacco and tobacco products
Textile mills
313
Fiber, yarn, and thread mills
3131
Fabric mills
3132
Broadwoven fabric mills
31321
Textile and fabric finishing mills
3133
Broadwoven fabric finishing mills ..
313311
Textile product mills
314
Textile furnishings mills
3141
Carpet and rug mills
31411
Curtain and linen mills
31412
Other textile product mills
3149
Textile bag and canvas mills
31491
All other textile product mills
31499
Apparel '.
315
Apparel knitting mills
3151
Hosiery and sock mills
31511
Cut and sew apparel
3152
31521
Cut and sew apparel contractors
Men's cut and sew apparel
contractors
J 315211
Women's cut and sew apparel
contractors
315212
31522
Men's cut and sew apparel
Women's cut and sew apparel
31523
31529
Other cut and sew apparel
3159
Accessories and other apparel
Leather and allied products
316
3162
Footwear
Leather and hide tanning and finishing
and other leather products
3161,9
322
Paper and paper products
3221
Pulp, paper, and paperboard mills
32211,2
Pulp mills and paper mills
32213
Paperboard mills
3222
Converted paper products
32221
Paperboard containers
Corrugated and solid fiber boxes ... 322211
322212
Folding paperboard boxes
Miscellaneous paperboard
containers
322213,4,5
Paper bags and coated and treated
paper
32222
Coated and laminated package
materials and paper
322221,2
Miscellaneous coated and treated
paper and paper bags
322223,4,5,6|
Stationery products
32223
Other converted paper products
32229
Printing and related support activities ....
323
Commercial lithograph printing
32311
83.4 I
42.1
56.6]
27.4
29.2
16.2
15.8
15.9
15.5
38.7
31.6
14.7
30.8
14.8
31.0
13.6
31.2
13.6
16.9
16.0
17.4
17.6
475.2
369.4
112.6
82.5
30.1
256.8
140.2
86.4
30.2
367.6
111.7
81.9
29.8
255.9
139.3
86.3
29.8
362.5
107.2
79.1
28.1
255.3
136.1
85.1
28.7
361.0
106.7
78.3
28.4
254.3
135.6
85.6
28.2
21.9
20.9
22.1
22.4
490.8
144.7
106.0
38.7
346.1
184.0
116.2
36.7
488.7
143.4
104.9
38.5
345.3
183.8
116.1
36.4
479.4
136.9
99.8
37.1
342.5
179.3
112.4
35.7
477.5
136.3
99.2
37.1
341.2
179.2
112.8
35.3
31.1
31.3
31.2
31.1
23.6
23.2
22.3
21.8
75.4
75.6
73.8
73.6
54.5
54.6
54.1
54.5
49.2
49.7
49.6
49.7
33.2
33.7
34.6
34.7
26.2
35.0
51.7
25.9
35.1
50.8
24.2
35.7
53.7
23.9
35.2
53.2
21.3
24.2
37.9
20.9
24.5
37.5
19.5
24.3
40.8
19.8
24.3
39.9
657.8
259.7
648.1
256.9
647.4
254.5
644.6
253.2
456.6
182.6
449.9
180.4
449.5
176.2
447.4
175.7
See footnotes at end of table.
Production workers1
All employees
98
635.3
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Nondurable goods-Continued
Commercial flexographic printing .
Commercial screen printing
Quick printing
Manifold business forms printing ..
Commercial gravure and misc.
commercial printing
Support activities for printing
323112
323113
323114
323116
323111,5,7,8,
9
32312
324
Petroleum and coal products
32411
Petroleum refineries
Asphalt paving and roofing materials
and other petroleum and coal products 32412,9
42.0
63.7
69.3
38.8
40.3
63.1
68.1
38.4
40.4
63.1
67.9
36.1
41.3
61.7
66.8
36.2
28.8
43.1
47.2
24.8
27.5
42.3
46.3
24.8
26.7
42.1
48.5
23.3
27.9
41.3
48.1
22.7
128.5
55.8
128.2
53.1
132.0
53.4
133.3
52.1
93.3
36.8
108,3
68.5
112.3
69.4
109.4
69.6
75.1
45.2
95.2
37.5
73.9
43.7
95.2
36.5
109.1
67.6
93.3
35.3
74.6
46.3
41.5
880.1
39 8
872.9
42.9
879.7
39.8
881.9
28.3
30.2
27.6
152.1
50.8
151.8
50.8
17.8
42.8
40.4
109.0
150.0
150.0
49.5
29.9
516.9
91.6
512.4
90.3
514.4
83.0
515.4
83.7
22.9
22.8
21.2
21.1
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
3259
104.7
104.0
104.8
104.4
Plastics and rubber products
Plastics products
Plastics packaging materials, film,
and sheet
Nonpackaging plastics film and
sheet
Plastics pipe, fittings, and profile
326
3261
803.1
631.5
796.4
627.0
801.1
632.0
797.9
629.3
32611
88.8
88.8
87.9
326113
49.9
50.4
32612
326121
326122
32614,5
59.5
27.9
31.6
62.3
59.5
27.9
316
62.4
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
325411,3,4
3255
32551
3256
32561
325612,3
32562
32613,6
32619
3262
32621
32622
32629
326291
326299
Service-providing..
Private service-providing
Trade, transportation, and utilities...
Wholesale trade
Durable goods
Motor vehicles and parts ...
Motor vehicles
New motor vehicle parts .
42
423
4231
42311
42312
18.3
42.9
40.1
109.9
74.8
60.4
14.4
41.4
289.4
227.2
74.1
59.9
14.2
41.2
285.5
224.0
878.4
17.0
42.8
40.7
71.1
43.5
73.6
46.0
37.1
72.8
45.1
36.6
74.4
48.3
41.2
73.7
48.0
40.7
40.1
287.6
226.8
114.5
79.3
65.4
13.9
40.7
288.0
226.5
29.1
141.0
110.9
29.7
139.6
109.1
28.7
147.1
118.8
29.6
147.7
119.4
62.2
67.6
44.4
61.5
67.5
44.4
60.8
67.5
45.3
61.5
67.4
45.0
30.1
41.4
26.6
30.5
41.5
26.9
28.3
39.3
25.0
28.3
38.8
24.8
115.0
57.1
113.9
56.1
115.8
57.3
116.9
58.3
73.1
36.8
72.0
36.1
75.4
37.0
76.1
37.4
31.9
57.9
31.0
57.8
32.0
58.5
32.4
58.6
19.4
36.3
18.4
35.9
18.3
38.4
18.2
38.7
67.1
623.8
487.6
66.5
617.8
483.1
66.5
619.4
489.3
614.8
484.8
87.4
66.6
66.7
67.0
66.6
50.2
49.5
36.0
36.1
37.1
36.7
58.5
26.6
31.9
62.0
58.2
26.8
31.4
61.8
44.7
20.5
24.2
48.3
44.3
20.3
24.0
47.9
44.2
19.6
24.6
48.8
44.1
20.0
24.1
48.4
44.7
283.3
136.2
55.7
44.7
279.5
134.7
55.0
45.2
284.1
130.1
56.3
44.6
281.1
130.0
56.6
58.1
36.6
21.5
56.7
35.8
20.9
54.8
35.5
19.3
54.2
35.7
18.5
74,388
75,862
22,337
75,978
4,515.5
72,727
21,399
4,464.6
4,623.1
4,631.5
2,351.8
276.6
103.6
136.7
2,338.1
274.6
102.7
135.5
2,406.5
282.2
107.9
140.8
2,418.2
280.9
107.1
140.5
791.5
53.8
54.0
55.5
55.5
362.3
367.1
368.1
366.4
169.4
168.6
171.6
169.1
68.2
68.7
69.2
68.7
28.4
28.3
28.3
28.5
72.8
71.6
74.1
71.9
45.4
46.3
46.1
46.0
27.4
25.3
28.0
25.9
111,157 108,954 112,914 112,887 110,661
87,327
88,886
89,107
90,583 90,668
25,534
25,835
26,445 26,629
26,306
5,715.8 5,655.4 5,790.7 5,796.2 5,754.5
2,972.9 2,954.0 3,011.7 3,024.2 3,008.3
345.1
343.2
342.1
339.6
128.8
127.8
123.8
122.9
172.1
171.6
171.9
170.8
See footnotes at end of table.
49.7
17.1
42.8
40.4
113.9
79.3
65.5
13.8
107.2
99
22,131
65.8
22,527
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
Wholesale trade-Continued
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 .
2002
NAICS
code
Dec.
2004
Nov.
2005
Jan.
2005
Dec.
2005 P
Jan..
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005P I
4232
42321
42322
4233
42331
42332
112.0
44.0
68.0
245.5
130.6
57.0
112.6
43.9
68.7
243.0
131.2
55.7
112.9
47.1
65.8
256.9
140.2
57.7
116.1
48.7
67.4
256.2
139.1
57.7
89.6
89.5
90.0
92.0
54.5
205.5
111.6
46.0
54.7
200.9
110.4
44.3
51.4
214.9
119.5
47.3
52.3
213.4
118.3
46.7
42333,9
4234
42342
42343
42345
57.9
640.3
116.0
242.8
171.1
56.1
632.1
115.2
238.9
169.2
59.0
637.0
109.8
243.6
175.7
59.4
639.1
108.9
244.0
178.3
47.9
519.1
97.2
204.7
133.9
46.2
513.6
96.8
201.9
132.7
48.1
518.2
93.8
204.2
136.6
48.4
520.9
93.4
205.0
138.6
42341,4,6,9
4235
4236
42361
110.4
121.0
343.1
144.6
108.8
120.8
342.0
143.2
107.9
122.2
352.3
145.5
107.9
123.5
354.2
146.7
83.3
99.7
249.7
108.5
82.2
99.0
250.3
108.1
83.6
99.5
264.4
109.3
83.9
100.1
266.1
110.1
42362,9
4237
42371
42372
42373,4
4238
42381
42382
42383
42384
42385
42386
4239
42391
42393
42394
42392,9
198.5
240.6
80.2
91.3
69.1
653.6
80.9
98.5
305.3
71.7
66.0
31.2
274.7
47.8
98.4
44.9
83.6
198.8
240.9
80.1
91.7
69.1
649.7
81.1
98.4
301.5
72.0
65.7
31.0
273.3
47.4
99.3
43.5
83.1
206.8
240.8
77.7
92.6
70.5
661.5
85.2
100.5
306.4
74.7
63.1
31.6
283.0
50.0
101.5
44.3
87.2
207.5
243.5
78.8
94.0
70.7
664.8
86.4
100.7
307.6
74.2
64.1
31.8
283.6
49.8
102.2
43.2
88.4
141.2
187.3
60.1
73.1
54.1
509.0
63.8
75.4
236.2
54.3
55.2
142.2
188.3
60.2
73.5
54.6
507.1
63.5
76.0
234.3
54.9
54.9
155.1
191.7
59.8
76.5
55.4
519.3
65.3
79.7
241.2
58.2
52.0
156.0 I
195.2
61.3
78.1 r
55.8 I
522.9
66.5 |
79.1
242.8 I
57.7
53.6
215.3
214.8
226.3
226.7
84.4
424
Nondurable goods
Paper and paper products
, 4241
Printing and writing paper and office
supplies
42411,2
Industrial paper
42413
Druggists' goods
4242
Apparel and piece goods
4243
Men's and boys' clothing
42432
Women's and children's clothing
42433
Grocery and related products
4244
General line grocery
42441
Packaged frozen food
42442
Fruits and vegetables
42448
Farm product raw materials
4245
Grains and field beans
42451
Chemicals
4246
Other chemicals
42469
Petroleum
4247
Alcoholic beverages
4248
Beer and ale
42481
Wine and spirits
42482
Misc. nondurable goods
4249
Farm supplies
42491
42492
Books and periodicals
Nursery stock and florists' supplies .... 42493
Tobacco and tobacco products
42494
Paint, painting supplies, and other
nondurable goods
42495,9
2,020.4
151.2
1,986.8
149.9
86.2
65.0
218.5
146.7
32.7
62.3
699.5
219.4
30.3
73.8
73.5
42.3
131.8
107.2
100.8
145.6
86.8
58.8
352.8
103.2
55.4
49.9
28.8
84.5
65.4
216.4
144.4
31.0
62.0
686.1
212.6
29.9
72.9
70.7
40.2
129.6
105.4
101.3
143.5
85.7
57.8
344.9
101.4
54.6
47.7
28.0
87.1
65.8
218.3
148.4
31.4
65.6
706.3
219.8
30.0
80.1
76.3
43.7
133.3
108.6
100.8
146.6
88.4
58.2
352.7
101.5
56.5
51.8
27.1
83.2
65.5
218.2
149.5
31.1
66.5
704.5
220.0
29.9
79.7
72.6
40.9
133.4
108.3
101.7
147.2
87.4
59.8
350.9
100.2
58.0
49.7
26.9
115.5
113.2
115.8
116.1
722.5
714.6
743.4
745.3
58.4
57.2
56.0
56.0
Electronic markets and agents and
brokers
Business to business electronic
markets
425
42511
See footnotes at end of table.
100
2,035.6 I 2,026.7
152.9
148.7
2,000.6
745.6
79.8
81.1
83.7
63.9
63.1
69.7
1,610.9
117.2
1,577.8
116.2
1,641.3
122.6
67.2
50.0
165.5
105.7
66.0
50.2
163.2
104.0
70.0
52.6
169.3
110.5
67.7
52.9
171.0
111.9
580.6
182.3
567.5
176.7
588.6
186.2
587.2
186.3
65.0
61.0
34.7
101.1
82.3
82.5
120.2
71.6
63.7
57.7
32.5
98.2
79.6
82.5
118.1
70.5
68.6
61.9
34.3
108.2
88.4
83.0
119.9
72.7
68.3
59.0
32.3
107.7
88.0
85.4
120.1 i
71.91
277.1
82.6
270.4
80.5
277.3
81.5
274.8
80.2
90.0
88.9
89.0
88.9
552.8
548.7
575.3
575.6
47.7
46.7
43.5
43.3
70.7
1,637.7 I
120.6 j
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Cointinued
(In thousands)
Production workers'
All employees
Industry
2002
NAICS
code
Wholesale trade-Continued
Wholesale trade agents and brokers ....| 42512
Retail trade
44,45
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
441
Dec.
2004
664.1
Jan.
2005
Nov.
2005
657.4
687.4
Dec.
2005 P
531.8
Dec.
2005 P
532.3
1,575.6
1,043.9
1,568.3
1,041.9
949.9
94.0
948.5
93.4
134.3
132.8
126.4
488.3
91.5
390.6
90.7
385.5
99.7
397.4
98.9
393.6
329.8
162.1
327.1
161.2
261.0
129.6
259.4
126.1
267.0
130.4
265.7
127.9
573.9
297.7
276.2
99.3
176.9
600.0
308.5
291.5
99.5
192.0
604.8
311.1
293.7
98.5
195.2
591.4
476.4
244.9
231.5
76.9
154.6
456.5
240.0
216.5
76.0
140.5
483.5
253.3
230.2
76.8
153.4
487.2
254.9
232.3
77.1
155.2
546.7
528.6
564.5
570.4
548.0
439.7
420.8
456.7
462.7
44311
443111
376.9
73.8
365.3
71.8
395.4
73.7
399.0
73.3
315.2
58.7
302.8
56.5
329.7
56.0
333.6
55.5
443112
303.1
298.5
321.7
325.7
256.5
246.3
273.7
278.1
169.8
163.3
169.1
171.4
124.5
118.0
127.0
129.1
444
4441
44411
44412
44413
44419
1,223.7
1,091.5
1,267.2
1,132.1
633.1
42.3
159.3
297.4
1,261.7
1,129.0
288.9
1,190.9
1,074.8
589.2
40/.
161.1
284.4
159.4
296.4
1,005.5
898.2
498.0
32.1
132.3
235.8
978.0
885.8
494.2
31.0
129.7
230.9
1,048.9
938.8
530.4
32.2
129.6
246.6
1,047.1
938.8
529.2
32.8
130.0
246.8
4442
44421
132.2
30.5
116.1
29.6
135.1
33.7
132.7
34.4
107.3
23.4
92.2
22.4
110.1
26.2
108.3
26.9
1,903.7
1,249.1
1,129.0
120.1
166.3
44122
4413
116.8
489.2
115.8
482.8
127.1
491.9
44131
44132
324.7
164.5
323.8
159.0
Furniture and home furnishings stores .
Furniture stores
Home furnishings stores
Floor covering stores
Other home furnishings stores
442
4421
4422
44221
44229
594.3
302.3
292.0
100.1
191.9
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
443
44312,3
44422
596.9
41.1
164.6
101.7
83.9
69.8
83.9
81.4
2,513.9
2,192.7
2,470.7
2,172.7
2,499.5
2,186.1
2,512.0
2,193.6
2,318.3
144.1
246.7
2,076.4
116.3
209.4
2,057.1
115.6
192.0
2,063.3
122.8
207.2
2,073.7
119.9
210.6
67.0
40.2
136.8
134.1
69.2
38.9
138.6
134.8
55.1
36.7
117.6
111.8
50.8
34.0
107.2
106.0
54.7
34.9
106.2
57.2
33.4
120.0
107.8
972.5
706.4
983.4
801.8
590.0
787.3
582.1
801.6
586.8
806.0
587.5
47.6
76.4
48.1
76.4
52.3
77.0
51.5
77.6
101.4
98.3
2,800.6
2,436.1
2,832.0
2,453.9
2,843.9
2,462.4
44511
44512
4452
2,316.6
142.0
247.9
2,295.7
140.4
231.1
2,307.5
146.4
244.0
65.5
42.9
61.9
40.0
129.2
446
44611
44612
44613
44619
446191
446199
J 447
44711
44719
139.5
139.5
956.8
696.6
102.9
63.4
93.9
43.8
133.4
943.5
690.1
96.2
63.2
94.0
43.7
103.6
65.3
97.2
46.6
117.6
48.9
50.6
50.5
868.2
865.2
744.5
120.5
738.0
121.5
748.6
119.6
747.2
118.0
1,499.4
1,386.6
1,500.3
1,574.9
101
969.7
66.1
99.4
50.3
859.5
See footnotes at end of table.
2,791.6
709.7
108.2
865.0
50.1
1,232.0
629.7
43.5
2,846.0
2,458.6
44521,2
44523
44529
4453
1,883.5
1,238.0
39.9
445
4451
Clothing and clothing accessories stores ...I 448
502.0
Nov.
2005
1,545.5
1,035.4
947.3
88.1
124.6
1,914.4
1,254.5
1,132.0
122.5
168.0
40.9
Gasoline stations
Gasoline stations with convenience
stores
Other gasoline stations
Jan.
2005
1,555.2
1,039.9
954.0
85.9
124.7
1,884.1
1,245.5
1,125.9
119,6
155.8
40.0
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
505.1
689.3
1,898.3
1,252.6
1,133.5
119.1
156.5
39.7
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
Dec.
2004
15,702.3 15,046.7 15,684.5 15,871.7 15,183.7 13,438.2 12,804.9 13,430.3 13,621.6
4411
44111
44112
4412
44121
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
Jan.
2006 P
852.3
1,437.4
41.0
41.7
41.9
41.9
734.1
727.1
738.4
736.7
633.4
100.7
625.9
101.2
637.5
100.9
636.3
100.4
1,235.6
1,121.4
1,237.2
1,317.9
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
Retail trade-Continued
Clothing stores
Men's clothing stores
Women's clothing stores
Children's and infants' clothing stores
Family clothing stores
Clothing accessories stores
Other clothing stores
Shoe stores
Jewelry, luggage, and leather goods
stores
Sporting goods, hobby, book, and music
stores
Sporting goods and musical instrument
stores
Sporting goods stores
Hobby, toy, and game 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
2002
NAICS
code
Jan.
2005
Nov.
2005
Dec.
2005 P
1,132.4
81.4
280.9
68.7
535.5
47.4
118.5
184.9
1,035.2
74.6
261.9
63.3
481.7
43.0
110.7
178.4
1,147.7
76.4
285.4
77.2
542.8
44.9
121.0
178.4
1,202.2
79.1
295.8
81.5
577.3
46.8
121.7
186.5
947.4
64.9
224.4
847.2
57.8
205.6
960.5
60.8
230.1
1,022.2
63.7
239.3
462.9
40.1
95.3
145.5
405.3
36.1
88.1
139.7
469.0
35.7
97.2
140.2
511.8
37.5
97.9
146.7
4483
182.1
173.0
174.2
186.2
142.7
134.5
136.5
149.0
451
707.1
651.9
675.1
704.5
582.6
531.7
562.1
593.5
4511
45111
45112
477.7
222.9
163.5
438.9
210.3
137.6
472.4
219.5
162.5
486.8
225.3
170.8
392.8
180.6
138.9
356.1
168.1
114.9
391.3
179.7
139.0
407.8
186.5
147.5
45113
55.6
55.6
55.6
54.9
45.3
45.4
44.6
44.8
45114
4512
45121
35.7
229.4
164.2
35.4
213.0
160.3
34.8
202.7
150.7
35.8
217.7
158.1
189.8
137.0
175.6
133.7
170.8
127.0
185.7
134.2
4481
44811
44812
44813
44814
44815
44819
4482
Nonstore retailers
-.
Electronic shopping and mail-order
houses.... '.
Electronic shopping and electronic
auctions
Mail-order houses
Vending machine operators
Direct selling establishments
Fuel dealers
Heating oil dealers
Liquefied petroleum gas, bottled
gas, and other fuel dealers
Other direct selling establishments
651.5
Dec.
2005PI
65.2
52.7
52.0
59.6
52.8
41.9
43.8
51.5 |
2,906.0
1,615.0
720.8
894.2
1,291.0
971.8
319.2
3,111.5
1,743.0
777.1
965.9
1,368.5
1,035.1
333.4
3,160.2
1,788.7
807.4
981.3
1,371.5
1,026.3
345.2
2,905.1
1,591.5
2,942.8
1,685.3
760.5
924.8
1,257.5
953.3
304.2
2,687.5
1,500.6
655.1
845.5
1,186.9
915.9
271.0
2,891.4
1,624.4
708.5
915.9
1,267.0
979.1
287.9
2,936.1
1,666.4 [
735.4
931.0 I
1,269.7
971.2 |
298.5
453
4531
936.2
107.2
890.3
101.0
912.2
98.7
925.6
100.8
882.3
765.6
89.9
722.9
84.0
747.1
82.9
761.3
85.3
4532
45321
45322
4533
4539
45391
45392
415.4
176.9
238.5
116.5
297.1
86.6
23.9
391.5
178.9
212.6
114.5
283.3
84.1
23.0
402.5
181.0
221.5
116.5
294.5
91.8
23.0
414.8
186.2
228.6
115.4
294.6
93.2
22.8
342.0
144.1
197.9
98.5
235.2
69.5
317.8
145.4
172.4
97.3
223.8
67.8
331.5
146.6
184.9
98.3
234.4
77.4
342.9
151.0
191.9
97.6
235.5
79.0
45393
45399
25.6
161.0
23.5
152.7
25.4
154.3
24.7
153.9
454
463.6
430.8
466.6
473.4
4541
259.6
229.7
272.7
276.6
454111,2
454113
4542
4543
45431
454311
63.7
195.9
51.1
152.9
99.5
52.8
61.6
168.1
50.5
150.6
99.5
53.2
73.8
198.9
52.1
141.8
93.1
50.0
74.4
202.2
52.4
144.4
95.4
51.1
454312,9
45439
46.7
53.4
46.3
51.1
43.1
48.7
44.3
49.0
438.9
Transportation and warehousing
48,49
4,335.0
4,276.5
4,410.5
4,403.7
4,339.2
Air transportation
Scheduled air transportation
Nonscheduled air transportation
481
4811
4812
511.8
469.8
42.0
505.2
462.9
42.3
488.7
444.0
44.7
487.3
442.9
44.4
483.3
Rail transportation
482
228.3
225.9
228.6
227.7
225.1
Water transportation
Sea, coastal, and Great Lakes
transportation..
483
55.4
55.5
62.1
62.8
61.4
4831
34.4
34.8
37.9
39.1
See footnotes at end of table.
Dec.
2004
3,165.2
1,802.4
828.7
973.7
1,362.8
1,007.8
355.0
45122
452
General merchandise stores
4521
Department stores
Department stores, except discount... 452111
Discount department stores
452112
Other general merchandise stores
4529
Warehouse clubs and supercenters .... 45291
All other general merchandise stores . 45299
Miscellaneous 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 pet supplies stores
Art dealers
Manufactured and mobile home
dealers
All other miscellaneous store retailers
Jan.
2006 P
Jan.
2005
Nov.
2005
Dec.
2004
102
125.5
118.3
120.4
120.0
385.0
355.5
388.3
392.8
217.6
190.3
229.3
231.5
166.9
142.5
173.0
174.8
125.8
83.6
44.1
124.3
84.2
44.7
116.3
77.1
41.1
118.5
78.8
41.9
39.5
39.5
36.0
3,737.4
3,687.2
3,833.3
36.9 I
3,824.7
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
2002
NAICS
code
Dec.
2004
Jan,
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
1,369.7
968.4
229.6
738.8
1,348.1
957.7
222.5
735.2
1,412.3
987.6
231.5
756.1
1,403.4
984.9
228.0
756.9
1,377.8
1,197.2
853.7
197.3
656.4
1,179.2
845.7
191.6
654.1
1,233.1
870.8
199.3
671.5
1,225.1
869.5
196.8
672.7
514.7
511.5
526.8
528.9
461.9
458.8
471.0
473.4
224.1
401.3
223.7
390.4
229.3
424.7
228.0
418.5
194.5
343.5
195.3
333.5
200.5
362.3
199.3
355.6
100.9
192.4
97.4
184.9
103.0
209.7
102.4
204.1
84.5
163.6
81.4
157.4
85.1
180.4
84.3
174.6
108.0
108.1
112.0
112.0
95.4
94.7
96.8
96.7
485
4851
4852
4853
48531
48532
406.3
38.0
21.1
67.1
31.3
35.8
400.7
37.9
20.8
66.0
31.3
34.7
411.5
45.3
20.7
64.6
29.3
35.3
409.3
44.9
19.9
64.7
29.2
35.5
371.4
34.3
366.9
34.3
378.9
42.0
375.6
41.3
4854
4855
4859
186.8
31.6
61.7
184.5
29.(3
61.9
189.1
31.7
60.1
189.8
29.8
60.2
175.9
173.4
179.0
177.8
55.7
55.7
54.3
55.0
Pipeline transportation
486
37.5
38.1
37.1
37.0
37.4
27.4
27.7
28.8
29.1
Scenic and sightseeing transportation ...
487
23.2
19.6
26.7
26.5
23.8
18.3
15.4
21.2
21.0
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
488
4881
48811
549.4
142.9
62.9
543.3
142.4
62.5
554.2
149.1
66.9
557.8
150.7
67.8
554.2
451.0
119.8
54.0
447.1
119.8
54.1
461.9
128.1
58.9
465.9
129.8
59.5
4883
48831
48832
95.4
21.8
43.7
91.5
21.5
41.2
92.8
21.6
41.9
95.4
21.0
44.4
85.0
20.5
40.8
81.3
20.1
38.4
83.4
20.0
39.5
85.5
19.4
41.8
48833,9
29.9
28.8
29.3
30.0
79.1
48.1
177.1
78.7
48.7
175.7
79.2
46.0
175.2
80.2
47.0
173.8
65.3
65.0
65.5
67.1
134.3
133.7
134.6
133.8
54.9
55,0
57.9
57.7
46.6
47.3
50.3
49.7
Couriers and messengers
Couriers
Local messengers and local delivery.
492
4921
4922
572.6
523.1
49.5
567.0
517.7
49.3
586.2
537.6
48.6
590.0
540.3
49.7
576.9
485.2
442.8
477.9
436.8
502.6
462.9
506.8
465.4
Warehousing and storage
General warehousing and storage ..
Refrigerated warehousing and
storage
Miscellaneous warehousing and
storage
493
49311
580.8
483.7
573.1
479.5
603.1
505.7
601.9
505.0
596.4
500.9
420.2
493.8
416.9
526.4
442.5
524.4
440.8
49312
45.2
44.1
45.2
44.9
38.9
37.7
39.3
39.0
Transportation and warehousing-Continued!
484
Truck transportation
4841
General freight trucking
48411
General freight trucking, local
General freight trucking, long-distance .] 48412
General freight trucking,
484121
long-distance TL
General freight trucking,
484122
long-distance LTL
4842
Specialized freight trucking
Used household and office goods
moving
48421
Other specialized trucking, local
48422
Other specialized trucking,
long-distance
48423
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 ..
4884
48841
4885
4882,9
49313,9
Utilities
22
Power generation and supply
J 2211
Electric power generation
22111
Hydroelectric power generation
4221111
Fossil fuel electric power generation ., 221112
Nuclear and other electric power
221113,9
generation
Electric power transmission and
22112
distribution
Electric bulk power transmission
221121
and control
221122
Electric power distribution
Natural gas distribution
2212
51.9
49.5
52.2
52.0
553.2
402.1
243.0
46.9
134.0
555.7
403.1
242.6
46.4
134.5
559.0
407.5
244.7
48.4
134.6
557.5
407.3
244.8
48.4
134.8
62.1
61.7
61.7
61.6
159.1
160.5
162.8
25.7
133.4
105.9
26.0
134.5
107.4
26.8
136.0
107.6
See footnotes at end of table.
103
402.9
41.8
39.2
44.6
44.6
440.1
312.4
178.6
441.9
313.2
178.7
450.2
322.1
187.2
448.7
321.4
186.9
97.0
97.1
99.2
99.5
162.5
133.8
134.5
134.9
134.5
26.9
135.6
106.8
22.1
111.7
91.9
22.7
111.8
93.5
22.4
112.5
93.8
22.4
112.1
93.4
557.8
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
Industry
Utilities-Continued
Water, sewage and other systems .
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
3,048
898.6
Dec.
2004
Jan.
2005
511
5111
51111
51112
51113
51114
51119
5112
672.3
374.0
141.1
83.0
45.9
28.3
235.6
664.5
369.6
234.9
662.8
367.2
141.0
83.0
44.0
27.6
243.5
664.0
367.4
140.9
83.8
44.7
27.2
243.6
512
5121
51211
51213
380.6
358.1
192.2
136.7
359.8
338.9
176.2
134.6
385.9
365.6
211.8
124.4
392.9
372.8
212.6
130.6
51212,9
5122
29.2
22.5
329.2
242.9
113.5
129.4
28.1
20.9
29.4
20.3
29.6
20.1
326.9
240.2
113.3
126.9
327.2
237.3
107.9
129.4
327.0
238.7
107.6
131.1
86.3
30.3
86.7
89.9
30.3
88.3
30.8
1,012.6
521.6
193.9
172.4
141.7
130.6
1,007.1
521.2
192.1
171.5
140.5
129.8
993.9
508.6
197.0
177.9
130.0
135.6
993.1
507.9
197.2
177.7
130.2
134.3
379.9
114.7
265.2
376.9
113.3
263.6
377.7
114.0
263.7
379.3
114.4
264.9
50.5
8,074
5,977.5
50.7
49.4
49.3
50.4
8,035
8,208
8,219
5,967.6
6,063.6
21.0
20.9
20.9
2,832.0
1,750.9
1,282.1
2,891.2
1,788.6
239.0
2*832.4
1,757.6
1,288.3
237.5
242.1
1,793.7
1,307.2
243.2
52213,9
5222
52221
52222
229.8
760.5
125.9
107.1
231.8
757.9
121.6
107.8
241.3
774.5
121.7
101.5
243.3
771.4
120.6
102.2
182.0
572.0
90.7
74.9
563.9
83.3
75.3
52229
522291
522292
527.5
108.7
340.3
528.5
109.7
340.7
551.3
113.1
359.4
548.6
113.1
356.5
406.4
80.2
270.5
522293,4,8
5223
78.5
320.6
78.1
316.9
78.8
328.1
79.0
329.5
52231
133.4
133.0
142.9
52232
52239
91.4
95.8
88.7
95.2
90.9
94.3
516
Telecommunications
Wired telecommunications carriers
Wireless telecommunications carriers ..
Cellular and other wireless carriers .
Telecommunications resellers
Cable and other program distribution ....
517
5171
5172
517212
5173
5175
ISPs, search portals, and data
processing
ISPs and web search portals
,
Data processing and related services ...
518
5181
Other information services
519
5152
5182
Financial activities?.
52
521
522
5221
52211
52212
140.8
81.8
44.2
28.1
See footnotes at end of table.
Jan.
2006 P
43.4
3,079
907.6
Internet publishing and broadcasting
Credit intermediation and 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 nondepository credit
intermediation
Activities related to credit intermediation
Mortgage and nonmortgage loan
brokers
Financial transaction processing and
clearing
Other credit intermediation activities ...
Dec.
2005 P
43.9
3,071
906.3
515
5151
51511
51512
Monetary authorities - central bank
Nov.
2005
45.2
3,052
899.4
Broadcasting, except Internet
Radio and television broadcasting
Radio broadcasting
Television broadcasting
Cable and other subscription
programming
Finance and insurance
Jan.
2005
45.2
3,091
907.9
2213
Information.
Publishing industries, except Internet
Newspaper, book, and directory
publishers
Newspaper publishers
Periodical publishers
Book publishers
Directory and mailing list publishers .
Other publishers
Software publishers
Dec.
2004
104
1,305.2
Nov.
2005
Dec.
2005P I
35.8
35.2
34.3
33.9
2,392
2,362
2,409
2,420
666.7
660.3
676.5
680.1
480.9
265.9
474.6
262.0
488.9
102.2
57.8
100.9
56.7
487.0
268.9
102.6
60.3
185.8
185.7
189.5
191.2
379.2
296.7
282.1
139.1
120.8
280.4
266.9
128.1
117.6
303.0
289.7
155.9
111.0
307.1
294.1
154.5
116.7
321.5
259.9
257.0
193.5
89.9
103.4
258.1
195.9
94.6
101.3
103.6
256.1
193.9
88.9 I
105.0
812.9
417.2
160.0
141.8
112.7
104.3
809.1
418.8
159.4
141.9
110.5
102.9
817.1
419.2
162.6
146.6
106.2
110.4
817.0
419.6
161.8
146.0
107.4
109.3
288.4
85.2
203.2
292.0
296.3
87.1
88.7
207.6
8,191
289.9
86.7
203.2
42.0
6,029
6,074.8
6,071.1
4,414.1
21.0
21.2
2,894.6
2,900.8
1,800.0
1,310.3
30.2
198.1
94.7
29.3
992.2
376.5
2,068.1
41.7
5,999
4,404.4
1,261.2
2,061.5
1,266.1
901.8
907.0
177.4
176.6
204.9
39.5
269.8
101.9
61.3
4,466.7
39.4
6,156
4,483:3
2,098.7
1,281.5
911.5
179.1
2,103.9
1,289.1
915.61
180.8
6,136
190.9
577.8
80.2
68.4
192.7
574.4
78.5
69.5
405.3
80.0
269.7
429.2
289.6
426.4
82.4
286.7
55.7
234.9
55.6
231.5
57.5
239.4
57.3
240.4
144.4
105.9
104.7
112.0
113.9
90.3
94.8
62.0
60.6
62.8
62.2
182.5
82.1
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers
All employees
Industry
Financial activities-Continued
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
2002
NAICS
code
523
523
52312
Dec.
2004
Jan,
2006
Nov.
2005
Dec.
2005 P
Jan.
2006 P
791.3
779.1
294.2
777.9
294.5
790.9
297.8
791.7
297.1
499.3
279.8
23.5
107.5
104.8
44.0
2,259.8
1,387.5
496.6
281.3
22.5
109.4
106.1
43.3
502.4
288.5
25.0
117.4
110.5
35.6
501.4
290.3
25.0
117.8
111.9
35.6
2,248.5
1,376.9
2,273.5
1,397.4
2,279.8
1,400.4
52411
524113
757.7
343.0
752.1
331.6
757.8
321.4
524114
52412
414.7
600.4
420.5
595.8
524126
493.0
524127,8
52413
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
495.4
164.3
497.8
168.3
511.8
173.8
514.3
176.1
303.0
192.4
304.1
193.7
314.9
196.9
317.0
197.3
75.2
75.4
77.0
76.2
83.6
75.5
84.0
76.2
1,776.6
1,101.2
1,768.9
1,093.4
1,775.9
1,101.6
1,784.5
1,106.5
759.4
321.3
586.6
243.7
582.4
235.0
585.9
227.1
589.6
228,4
436.4
608.5
438.1
609.7
342.9
495.9
347.4
492.8
358.8
497.1
361.2
498.0
488.7
494.4
494.6
413.8
410.5
408.1
408.4
107.4
29.4
107.1
29.0
114.1
31.1
115.1
31.3
82.1
18.7
82.3
18.2
89.0
18.6
89.6
18.9
5242
52421
52429
524291
872.3
650.8
221.5
50.5
871.6
651.8
219.8
49.9
876.1
650.9
225.2
52.2
879.4
652.8
226.6
52.8
675.4
497.5
675.5
499.4
674.3
494.5
177.9
42.4
176.1
41.6
179.8
42.0
496.7
181.3
42.0
524292
524298
Funds, trusts, and other financial vehicles , 525
Insurance and employee benefit funds ... 5251
Other investment pools and funds
5259
Real estate and rental and leasing
53
Real estate
531
Lessors of real estate
5311
Lessors of residential buildings
53111
53112
Lessors of nonresidential buildings
121.8
49.2
85.6
45.7
39.9
2,096.0
1,428.8
596.9
373.1
146.9
121.0
48.9
123.7
49.3
123.6
50.2
98.6
97.8
100.9
101.6
87.9
47.8
87.7
45.2
42.5
87.2
60.7
62.8
64.8
64.9
40.1
87.1
45.0
42.1
23.6
23.3
27.4
27.4
2,067.8
2,144.2
2,144.6
2,119.6
1,615.1
1,594.2
1,669.7
1,672.9
1,407.4
584.0
367.3
142.5
1,475.3
598.4
371.7
145.2
1,477.2
598.5
369.9
147.4
1,467.0
1,080.1
468.7
297.3
113.2
1,064.2
456.1
292.4
108.7
1,137.2
477.5
301.2
113.8
1,139.9
478.1
298.9
115.7
37.5
39.4
36.7
37.5
40.7
40.8
40.8
40.4
5312
5313
53131
531311
531312
53132
53139
532
343.2
488.7
410.8
291.0
119.8
42.2
35.7
339.4
484.0
406.9
290.2
116.7
41.6
35.5
366.3
510.6
430.3
304.7
125.6
41.9
38.4
367.1
511.6
431.3
303.8
127.5
41.7
38.6
641.5
634.9
641.0
639.5
5321
53211
199.1
136.2
197.0
136.0
198.1
137.9
198.7
137.1
53212
5322
53223
53221,2,9
532291
5323
62.9
277.8
155.7
122.1
38.4
57.7
61.0
275.8
153.2
122.6
38.1
58.1
60.2
269.1
145.0
124.1
37.9
61.6
267.1
144.1
123.0
37.8
63.1
5324
53241
106.9
58.1
104.0
56.3
48.8
47.7
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 .
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
leasing
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 ...
Office equipment and other
machinery rental and leasing
5231,2
5239
52391
52392
52393
52399
524
5241
53113
53119
53242,9
See footnotes at end of table.
105
2,270.6
678.0
29.7
27.2
31.3
31.5
248.8
362.6
307.0
216.7
90.3
247.4
360.7
305.5
217.1
88.4
269.6
390.1
330.5
233.1
97.4
270.6
391.2
331.5
233.7
97.8
514.4
510.2
510.6
511.3
165.4
113.3
162.6
113.1
161.3
112.0
162.7
111.9
219.8
126.1
210.5
114.6
93.7
219.2
124.8
94.4
95.9
207.8
113.3
94.5
62.9
46.2
46.0
49.4
50.8
110.7
60.5
110.8
60.7
83.0
82.4
89.4
90.0
50.2
50.1
625.2
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers1
All employees
2002
NAICS
code
Industry
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 p
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005P I
Financial activities-Continued
Lessors of nonfinancial intangible assets ... 533
Professional and business services.
54
Professional and technical services
5411
Legal services
54111
Offices of lawyers
Other legal services
54119
Title abstract and settlement offices .., 541191
Accounting and bookkeeping services .... 5412
Offices of certified public
541211
accountants
Tax preparation services
541213
Payroll services
541214
Other accounting services
541219
Architectural and engineering services ... 5413
Architectural services
54131
Landscape architectural services
54132
Engineering and drafting services
54133,4
Building inspection, surveying, and
mapping services
54135,6,7
Testing laboratories
54138
Specialized design services
5414
54141
Interior design services
Graphic design services
54143
Computer systems design and related
5415
services
Custom computer programming
541511
services
Computer systems design services .. 541512
Computer facilities management
541513
services
Other computer-related services
541519
Management and technical consulting
services
5416
54161
Management consulting services
Administrative management
541611
consulting services
Human resource consulting services 541612
541613
Marketing consulting services
Process and logistics consulting
541614
services
Other management consulting
541618
services
54162
Environmental consulting services
54169
Other technical consulting services
Scientific research and development
5417
services
Physical, engineering, and biological
54171
research
Social science and humanities
54172
research
5418
Advertising and related services
54181
Advertising agencies
54182
Public relations agencies
Media buying agencies and media
54183,4
representatives.,
J 54186
Direct mail advertising
Advertising material distribution and
other advertising services
54187,9
Other professional and technical
J 5419
services
Marketing research and public opinion
54191
polling
54192
Photographic services
54194
Veterinary services
Miscellaneous professional and
technical services
J 54193,9
25.7
25.5
27.9
27.9
27.4
16,612
16,249
17,194
17,131
16,752
13,521
13,171
14,114
14,059
6,900.0
6,931.2
7,068.8
7,124.8
7,141.8
5,275.3
5,309.9
5,425.6
5,473.2
1,171.6
1,082.6
89.0
73.0
795.5
1,155.1
1,066.9
88.2
72.1
920.9
1,160.6
1,070.3
90.3
73.5
791.9
1,164.6
1,074.3
90.3
73.5
840.3
1,155.6
898.9
828.1
70.8
887.2
817.2
70.0
889.4
818.8
70.6
890.8
820.0
70.8
935.1
595.4
711.8
599.8
642.3
376.1
62.9
131.5
225.0
1,279.5
187.5
39.8
817.3
385.2
175.4
127.3
233.0
1,256.7
186.2
35.7
806.1
384.7
49.9
139.5
217.8
1,342.7
194.8
44.9
857.8
386.8
93.1
139.9
220.5
1,339.0
195.9
42.3
854.5
272.0
45.7
102.7
175.0
995.8
144.6
31.7
648.5
282.1
147.3
99.1
183.3
975.0
142.8
28.0
637.0
282.5
37.0
107.4
172.9
1,054.3
149.3
33.8
686.2
286.0
73.0
107.3
176.0
1,050.9
150.4
32.3
684.2
93.0
141.9
126.6
37.5
68.0
91.1
137.6
123.0
36.5
65.3
98.3
146.9
137.6
42.9
71.6
99.3
147.0
136.2
43.1
70.8
73.4
97.6
97.0
27.9
52.4
71.8
95.4
92.8
25.8
50.2
78.9
106.1
106.4
32.7
55.9
1,186.1
1,170.8
1,212.3
1,216.7
938.8
926.7
954.3
957.3 I
404.1
397.6
400.6
393.6
417.3
401.0
416.7
401.1
87.4
85.4
86.0
87.8
587.7
479.3
576.6
468.6
623.8
507.3
631.6
513.2
204.0
75.7
78.2
213.9
78.6
90.2
217.9
78.9
90.8
1,211.0
80.6
103.4
105.6
32.5 |
56.1
517.6
502.7
511.1
498.1
531.0
510.3
530.8
511.9
59.2
106.6
57.0
104.6
61.8
109.2
62.5
111.5
822.7
678.1
808.3
664.5
863.4
704.2
871.3
711.2
303.5
102.6
111.1
297.9
98.8
109.6
313.9
103.4
119.4
317.4
104.8
120.0
206.3
80.8
80.5
76.0
74.0
80.4
81.0
51.3
50.4
58.9
59.2
84.9
66.3
78.3
84.2
65.2
78.6
87.1
70.7
88.5
88.0
69.2
60.4
51.3
57.1
60.3
49.9
58.1
65.7
51.8
64.7
66.4
50.3
68.1
560.6
563.2
574.5
575.7
409.2
409.0
420.7
421.4
495.7
499.8
507.5
508.9
362:4
363.8
372.0
372.2
64.9
437.5
165.9
45.9
63.4
433.2
164.5
45.6
67.0
446.9
167.9
47.9
66.8
445.0
168.6
47.7
46.8
323.4
111.3
31.8
45.2
320.2
110.2
32.0
48.7
336.4
115.9
35.1
49.2
336,9
116.7
35.2
39.8
69.9
40.1
68.7
39.0
71.1
38.9
71.0
56.3
55.6
58.3
57.8
82.9
82.4
87.7
85.1
69.0
68.8
73.0
71.4
519.9
500.0
538.9
536.0
429.1
410.6
440.5
436.4
108.1
92.1
262.5
107.0
76.1
259.8
109.5
101.0
266.7
108.8
96.4
268.4
89.4
75.4
218.4
88.4
59.8
217.2
89.8
83.6
219.3
89.3
79.6
219.9
57.2
57.1
61.7
62.4
45.9
45.2
47.8
47.6
See footnotes at end of table.
1,319.2
106
861.1
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—'Continued
(In thousands)
Production workers1
All employees
2002
NAICS
code
Industry
Professional and business
services-Continued
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
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
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
Hazardous waste treatment and
disposal
Nonhazardous waste treatment and
disposal
Remediation and other waste services ..
Remediation services
Materials recovery facilities and other
waste management services
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
55
1,749.3
1,733.4
1,750.9
1,759.9
1,743.3
1,220.5
1,205.5
1,237.0
1,247.7
551111,2
551114
56
90.6
1,658.7
7,962.9
90.3
1,643.1
7,584.6
91.5
1,659.4
8,373.8
93.4
1,666.5
8,246.7
7,866.6
53.8
1,166.7
7,025.5
54.5
1,151.0
6,655.4
58.5
1,178.5
7,451.4
60.6
1,187.1
7,338.0
561
5611
5612
5613
56131
56132
56133
5614
56141
56142
561421
561422
56143
56144
56145
56149
7,631.3
326.6
116.5
3,538.6
278.5
2,492.9
767.2
776.0
42.1
372.2
50.5
321.7
95.9
150.3
26.8
88.7
7,257.5
333.7
115.4
3,273.7
256.C
2,297.4
720.3
753.7
39.6
362.3
49.4
312.9
92.8
149.8
26.0
83.2
8,042.8
342.1
119.7
3,791.3
301.2
2,715.0
775.1
759.5
41.1
365.0
49.4
315.6
94.5
144.1
26.0
88.8
7,914.9
344.5
120.3
3,752.5
295.2
2,684.9
772.4
761.0
40.3
370.7
50.1
320.6
96.4
141.9
26.7
85.0
6,753.4
237.7
98.2
3,312.3
259.0
2,412.3
641.0
655.7
6,388.4
242.9
97.2
3,049.1
237.0
2,210.7
601.4
633.5
7,179.6
246.7
101.8
3,579.9
283.4
2,623.8
672.7
637.9
7,064.4
248.1
102.8
3,547.7
276.9
2,603.1
667.7
640.5
323.7
40.9
282.8
79.7
124.7
313.6
40.2
273.4
76.4
123.6
314.3
40.6
273.7
79.0
119.1
320.6
41.7
278.9
81.5
117.6
5615
56151
56152
56159
5616
56161
561611
221.3
110.1
30.1
81.1
739.2
634.9
47.0
220.7
108.6
29.6
82.5
722.9
619.7
42.0
221.5
105.4
28.0
88.1
747.3
643.9
42.7
223.6
107.3
27.9
88.4
755.1
650.9
43.1
587.9
104.3
1,627.2
577.7
103.2
1,548.7
601.2
103.4
1,772.4
607.8
104.2
1,667.7
56171
56172
56173
91.0
875.2
543.5
91.3
870.5
472.9
93.3
909.8
645.2
.156174
48.1
44.2
56179
5619
56191
69.4
285.9
60.3
56192
56199
562
5621
5622
561612,3
56162
5617
562211
562212,3,9
5629
56291
Elementary and secondary schools
Junior colleges
Colleges and universities
Business, computer, and management
training
2,479.9
749.0
69.3
65.4
69.6
64.9
172.4
83.6
171.5
82.2
172.1
80.6
175.5
82.4
66.8
666.3
586.3
67.4
650.5
571.2
70.2
679.7
597.6
71.6
685.8
603.1
544.8
80.0
1,376.9
534.1
79.3
1,308.1
559.5
82.1
1,521.7
564.9
82.7
1,425.2
92.0
897.3
559.3
67.1
774.3
444.9
67.9
771.4
381.2
73.0
809.8
537.8
71.9
797.9
459.6
46.7
45.3
36.7
33.5
38.3
36.4
69.8
288.7
60.4
77.4
289.0
62.5
73.8
290.2
62.4
53.9
233.9
50.9
54.1
235.6
50.7
62.8
239.8
53.3
59.4
238.8
53.6
46.8
178.8
43.5
179.8
53.4
173.1
49.4
178.4
36.8
146.2
37.6
147.3
42.0
144.5
38.5
146.7
331.6
121.7
104.8
327.1
121.5
103.7
331.0
121.6
99.6
331.8
123.7
98.6
272.1
105.1
81.1
267.0
105.0
79.5
271.8
105.6
76.4
273.6
107.6
76.5
39.4
39.2
35.1
34.9
65.4
105.1
65.4
64.5
101.9
62.8
64.5
109.8
69.7
63.7
109.5
69.6
55.5
85.9
52.8
54.3
82.5
50.3
54.6
89.8
57.2
53.7
89.5
57.1
15,082
14,873
15,404
15,362
1,581.0
328.5
39.7
39.1
40.1
39.9
17,063
17,709
17,668
17,425
61
2,941.4
2,746.8
3,016.0
2,962.1
2,747.2
6111
6112
6113
850.1
102.5
1,502.0
845.0
98.8
1,316.9
862.1
111.0
1,527.0
861.7
109.4
1,479.4
6114
78.1
77.0
76.9
76.8
See footnotes at end of table.
3,483.3
17,307
56292,9
Education and health services...
Educational services
7,538.1
107
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers
All employees
Industry
Education and health services-Continued
Business and secretarial schools and
computer training
Management training
Technical and trade schools
Other schools and instruction
Fine arts schools
Sports and recreation instruction
Miscellaneous schools and instruction
Educational support services
Health care and social assistance .
Health care
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 .
Offices of podiatrists
Offices of miscellaneous health
practitioners
Outpatient care centers
Outpatient mental health centers
Outpatient care centers, except
mental health
HMO medical centers
Kidney dialysis centers
Freestanding emergency medical
centers..
Miscellaneous outpatient care
centers
Medical and diagnostic laboratories
Medical laboratories
Diagnostic imaging centers
Home health care services
Other ambulatory health care services ...
Ambulance services
All other ambulatory health care
services
Blood and organ banks
Miscellaneous ambulatory health
care services
2002
NAICS
code
61141,2
61141,2
61143
6115
6116
61161
61162
61163,9
6117
62
621,2,3
Dec.
2004
34.6
43.5
101.8
235.8
61.2
54.9
119.7
71.1
Jan.
2005
Nov.
2005
34.5
42.5
102.4
236.6
59.7
58.1
118.8
70.1
36.1
40.8
100.7
256.0
68.5
60.4
127.1
82.3
Dec.
2005 P
5,193.2
2,146.7
621111
621112
6212
2,035.8
42.0
766.8
536.9
2,023.9
2,092.0
42.4
774.8
552.3
2,103.6
43.1
772.9
549.4
111.8
621399
113.3
94.7
53.3
204.3
71.3
32.0
41.5
761.0
536.1
112.6
94.8
52.3
204.2
72.2
32.6
111.4
98.5
52.7
212.2
77.5
4,227.7
1,674.2
4,365.8
1,731.3
4,374.6
1,742.3
1,649.6
32.7
648.2
430.9
86.8
1,698.5
32.8
1,708.8
33.5
652.3
443.7
84.8
77.6
652.8
442.2
85.0
77.0
41.8
62.9
176.2
62.2
74.9
42.8
168.3
58.1
393.8
129.1
395.6
129.9
409.2
135.5
410.7
136.2
264.7
265.7
273.7
274.5
80.0
168.6
115.5
81.5
168.8
115.9
85.5
178.5
124.5
84.6
176.8
123.6
742.2
180.6
109.4
736.6
179.3
109.2
766.3
184.5
113.1
763.8
186.0
114.4
71.2
48.0
70.1
48.1
71.4
49.3
71.6
50.2
3,937.0
3,719.2
3,937.0
3,721.3
4,002.2
3,782.5
4,003.3
3,783.7 |
81.3
136.5
80.5
135.2
83.0
136.7
82.'
137.2 I
2,517.5
1,423.2
427.0
2,502.3
1,411.0
423.9
2,539.6
1,419.8
432.5
2,534.6
1,418.5
432.4
32.9
52.8
210.1
76.8
32.5
44.3
484.0
158.0
39.3
460.5
152.0
39.6
461.6
152.6
62149
621491
621492
308.5
70.2
73.3
309.0
70.5
73.1
326.6
73.9
75.0
326.0
73.8
75.1
621493
68.4
67.5
73.0
73.5
62191
96.6
194.8
135.6
59.2
804.1
201.9
118.6
97.9
194.5
135.7
58.8
798.3
202.0
118.9
104.7
203.3
143.7
59.6
828.0
209.3
123.6
103.6
202.9
143.8
59.1
826.5
210.8
124.9
62199
621991
83.3
56.2
83.1
56.2
85.7
58.0
85.9
58.7
621999
4,246.6
1,682.3
97.9
6214
62142
6219
5,174.3
2,137.5
1,642.1
32.1
643.3
429.9
85.2
75.5
42.3
168.6
58.3
44.6
484.0
157.4
621410,98
6215
621511
621512
6216
Dec.
2005P I
14,365.5 14,316.1 14,692.5 14,706.1 14,677.9 12,586.6 12,543.5 12,847.4 12,851.5
12,188.5 12,146.9 12,446.3 12,457.6 12,433.0 10,701.1 10,667.0 10,907.6 10,912.5
5,186.1
2,134.4
62134
62139
621391
Nov.
2005
60.9
127.9
77.2
5,018.9
2,065.4
62133
Jan.
2005
66.4
5,042.8
2,077.8
62131
62132
Dec.
2004
35.8
41.0
102.4
255.2
621
6211
6213
Jan.
2006 P
481.5
822.0
41.7
176.7
27.1
26.9
27.7
27.2
622
Hospitals
General medical and surgical hospitals ...| 6221
Psychiatric and substance abuse
hospitals
6222
6223
Other hospitals
4,303.9
4,058.9
4,300.7
4,058.8
4,383.1
4,130.2
4,386.0
4,132.8
91.5
153.5
90.5
151.4
93.0
159.9
93.0
160.2
623
Nursing and residential care facilities .....
6231
Nursing care facilities
6232
Residential mental health facilities
Residential mental retardation
62321
facilities
Residential mental and substance
62322
abuse care
Community care facilities for the elderly ..| 6233
Continuing care retirement
623311
communities
623312
Homes for the elderly
6239
Other residential care facilities
2,841.8
1,581.1
493.2
2,827.3
1,569.8
491.1
2,877.1
1,587.7
503.4
335.9
334.0
341.7
343.1
293.7
290.9
295.9
295.7
157.3
602.0
157.1
602.4
161.7
621.3
162.0
620.2
133.3
532.6
133.0
534.2
136.6
552.8
136.7
549.9
296.4
305.6
165.5
296.9
305.5
164.0
312.7
308.6
164.7
312.0
308.2
164.9
263.6
269.0
134.7
264.7
269.5
133.2
280.0
272.8
134.5
279.3
270.6
133.8
2,177.0
2,169.2
2,246.2
2,248.5
1,885.5
1,876.5
1,939.8
1,939.0
Social assistance
624
See footnotes at end of table.
108
4,387.2
2,878.4 I 2,871.5
1,588.2 I 1,577.9
505.1
2,244.9
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Production workers
AH employees
2002
NAICS
code
Industry
Education and health services-Continued
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
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
AH other amusement and recreation
industries
Accommodations and food services .
Nov.
2005
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
890.3
151.4
430,1
308.8
129.0
27.3
929.7
158.2
455.8
315.7
128.3
26.8
931.5
157.9
456.4
317.2
129.9
26.8
765.2
127.9
380.4
256.9
100.9
22.6
766.5
127.6
382.3
256.6
100.1
22.4
799.6
132.6
408.3
258.7
99.4
22.0
799.5
132.0
408.5
259.0
100.2
21.5
62422,3
6243
6244
101.8
375.6
783.6
101.7
373.8
776.1
101.5
384.6
803.6
103.1
386.0
801.1
800.4
78.3
327.5
691.9
77.7
325.8
684.1
77.4
335.8
705.0
78.7
336.5
702.8
12,336
12,064
12,601
12,575
12,304
10,813
10,546
11,061
11,044
1,701.5
1,640.5
1,764.2
1,742.7
1,677.8
1,432.0
1,374.3
1,492.5
1,469.0
711
7111
71113
354.7
117.3
43.2
331.2
101.5
37.2
354.0
113.5
43.9
347.6
111.2
44.7
318.9
290.0
99.5
37.4
272.0
85.7
32.0
291.1
97.8
39.2
283.3
94.9
39.2
71111,2,£
7112
711211
711212
711219
74.1
107.0
48.2
36.2
22.6
64.3
105.4
47.7
35.5
22.2
69.6
99.7
41.9
32.8
25.0
66.5
95.1
39.5
29.5
26.1
62.1
92.5
53.7
92.2
58.6
82.3
55.7
78.5
32.4
32.2
28.6
25.3
7113,4
87.7
83.9
97.1
96.5
66.8
63.9
78.6
76.8
7115
42.7
40.4
43.7
44.8
31.2
30.2
32.4
33.1
113.3
69.2
13.3
108.3
67.6
10.6
118.1
70.5
13.8
114.9
69.4
12.7
110.0
88.1
53.7
83.6
52.5
91.7
54.2
89.0
53.3
23.6
22.7
26.2
25.5
1,248.9
1,053.9
101.9
89.3
1,018.7
94.2
82.2
1,109.7
132.0
118.8
1,096.7
127.7
112.6
122.6
87.5
35.1
122.3
87.0
35.3
123.7
86.0
37.7
123.6
85.3
38.3
71
712
71211
71212
30.8
30.1
33.8
32.8
713
7131
71311
71312
7132
.171321
71329
1,233.5
119.0
103.2
15.8
140.4
99.3
41.1
1,201.0
11\7
96.5
15.2
140.2
98.8
41.4
1,292.1
147.4
131.2
16.2
142.4
99.6
42.8
1,280.2
142.6
124.5
18.1
141.9
98.3
43.6
7139
71391
71392
71393
974.1
262.1
54.9
25.1
949.1
233.8
76.0
23.3
1,002.3
307.4
27.3
26.1
995.7
269.4
67.3
24.3
829.4
214.4
48.9
20.1
802.2
186.9
64.8
18.5
854.0
256.2
22.5
20.5
845.4
220.3
57.9
19.0
71394
71395
453.7
80.5
441.9
80.4
457.6
78.6
457.3
78.0
398.4
69.1
388.4
68.7
401.3
68.2
401.3
67.5
97.8
93.7
105.3
99.4
71213,9
71399
72
.722
10,634.8 10,423.4 10,836.8 10,832.5 10,625.9
74.9
85.3
79.4
9,171.3
9,568.1
9,574.5
1,496.2
1,474.0
1,506.4
1,495.6
1,719.2
1,755.5
1,737.7
1,709.2
1,689.0
1,720.6
1,706.2
1,471.8
1,450.6
1,479.2
1,471.3
1,401.3
274.9
1,381.1
275.4
1,402.1
285.3
1,395.8
277.4
1,201.6
1,180.5
1,200.1
1,198.0
33.0
14.6
32.5
14.1
33.2
16.4
33.0
16.4
27.6
27.4
27.7
27.5
18.4
31.5
17.2
14.3
18.4
30.2
16.3
13.9
16.8
34.9
18.2
16.7
16.6
31.5
16.9
14.6
24.4
14.1
10.3
23.4
13.4
10.0
27.2
14.1
13.1
24.3
13.1
11.2
8,894.1
8,704.2
9,081.3
9,094.8
7,884.9
7,697.3
8,061.7
8,078.9
109
1,707.1
78.5
9,381.1
1,740.7
See footnotes at end of table.
Dec.
2005 P
888.2
152.2
426.9
309.1
129.6
27.8
Accommodations
721
Traveler accommodations and other
J 7211
longer-term accommodations
Hotels and motels, except casino
hotels
72111
Casino hotels
72112
Miscellaneous traveler
72119
accommodations
721191
Bed-and-breakfast inns
All other traveler accommodations
and rooming and boarding houses.. 721199,30
7212
RV parks and recreational camps
721211
RV parks and campgrounds
Recreational and vacation camps ... 721214
Food services and drinking places
Jan.
2005
6241
62411
62412
62419
6242
62421
Leisure and hospitality.
Arts, entertainment, and recreation ,
Dec.
2004
8,918.8
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry-—Continued
(In thousands)
Production workers1
All employees
Industry
Leisure and hospitality-Continued
Full-service restaurants
Limited-service eating places
Limited-service restaurants
Cafeterias
Snack and nonalcoholic beverage
bars
Special food services
Food service contractors
Caterers and mobile food services ...
Drinking places, alcoholic beverages ..
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
4,317.7
3,882.9
3,358.7
138.8
3,804.9
3,305.3
2,876.4
116.1
3,731.1
3,230.5
2,815.3
110.9
3,879.1
3,412.7
2,953.7
128.2
3,887.8
3,418.2
2,959.5
127.7
385.4
541.7
379.7
162.0
352.5
312.8
458.5
319.4
139.1
316.2
304.3
432.3
318.3
114.0
303.4
330.8
459.7
327.8
131.9
310.2
331.0
470.0
332.0
138.0
302.9
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
7221
7222
722211
722212
4,223.5
3,773.3
3,281.3
128.5
4,151.3
3,695.1
3,217.5
122.5
4,308.5
3,882.6
3,356.4
140.4
722213
7223
72231
72232,3
7224
363.5
529.1
368.2
160.9
368.2
355.1
503.0
367.1
135.9
354.8
385.8
530.9
375.6
155.3
359.3
Jan.
2006 P
Dec.
2005P I
5,381
5,330
5,355
5,367
5,331
4,420
4,377
4,401
4,410
Repair and maintenance
811
8111
Automotive repair and maintenance
Automotive mechanical and electrical
repair
81111
811111
General automotive repair
811112
Automotive exhaust system repair
811113
Automotive transmission repair
Other automotive mechanical and
elec. repair.....
811118
Automotive body, interior, and glass
81112
repair
Automotive body and interior repair... 811121
Automotive glass replacement
811122
shops
Other automotive repair and
81119
maintenance
.1811192
Car washes
Auto oil change shops and all other
auto repair and maintenance
8111918
Electronic equipment repair and
8112
maintenance
Computer and office machine repair. 811212
Miscellaneous electronic equipment
811211,3,9
repair and maintenance
Commercial machinery repair and
8113
maintenance
Household goods repair and
8114
maintenance
1,225.2
884.9
1,221.8
881.2
1,225.9
878.6
1,234.0
881.6
1,229.1
977.5
708.4
976.5
706.2
987.8
710.5
995.0
714.3
401.5
313.3
19.2
27.4
401.4
313.5
18.7
27.2
391.2
307.2
18.4
27.1
391.2
306.6
18.2
27.0
310.3
243.7
14.8
311.1
244.7
14.1
304.7
240.8
13.9
306.2
241.9
13.7
41.6
42.0
38.5
39.4
31.1
31.7
29.3
29.8
257.7
223.0
256.4
223.7
259.6
225.6
261.7
227.1
203.7
176.5
202.8
177.5
211.0
184.2
211.3
183.9
34.7
32.7
34.0
34.6
27.2
25.3
26.8
27.4
225.7
146.3
223.4
144.5
227.8
146.3
228.7
147.5
194.4
128.2
192.3
126.3
194.8
127.9
196.8
129.8
79.4
78.9
81.5
81.2
66.2
66.0
66.9
67.0
102.5
44.6
103.2
43.8
99.0
43.1
100.6
43.7
80.3
36.4
81.4
.35.9
78.8
36.3
80.4 I
57.9
59.4
55.9
56.9
43.9
45.5
42.5
43.3 I
160.6
162.0
171.8
175.2
127.0
129.1
137.5
77.2
75.4
76.5
76.6
61.8
59.8
61.0
60.7 |
Personal and laundry services
Personal care services
Hair, nail, and skin care services
Barber shops and beauty salons ....
Nail 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
Pet care services, except veterinary .
Photofinishing
Parking lots and garages
All other personal services
1,273.0
564.9
469.7
442.7
27.0
95.2
133.3
104.5
28.8
353.1
1,257.9
. 564.3
467.0
438.9
28.1
97.3
132.0
104.4
27.6
348.2
1,265.9
577.0
477.7
448.7
29.0
99.3
132.1
102.2
29.9
343.6
1,266.5
576.1
477.5
447.8
29.7
98.6
130.8
102.2
28.6
342.8
1,068.2
486.9
407.3
385.1
1,056.3
487.5
405.3
382.0
1,062.7
498.5
413.5
389.5
1,062.1
495.1
412.7 I
388.5
79.6
99.0
77.9
21.1
293.5
82.2
96.6
76.5
20.1
289.9
85.0
98.2
76.8
21.4
282.5
82.4
96.7
77.0
19.7
281.9
39.1
37.2
35.2
35.2
33.1
31.3
29.5
29.6
81232
81233
812331
812332
8129
81291
81292
81293
81299
185.4
128.6
75.4
53.2
221.7
42.7
38.3
104.1
36.6
182.5
128.5
75.9
52.6
213.4
40.7
35.0
101.3
36.4
177.6
130.8
77.7
53.1
213.2
42.9
29.2
106.5
34.6
177.1
130.5
77.2
53.3
216.8
43.7
29.2
108.4
35.5
159.6
100.8
61.8
39.0
188.8
157.6
101.0
62.5
38.5
182.3
155.4
97.6
60.1
37.5
183.5
154.6
97.7
60.0
37.7
188.4
31.7
92.6
29.1
90.6
24.4
95.5
24.1
97.9
813
8132
813211
813212
2,883.1
132.6
55.1
36.8
2,850.5
131.3
54.5
36.3
2,862.9
136.4
57.6
38.6
2,866.5
136.3
57.9
38.8
2,374.1
100.6
42.3
2,344.3
98.3
41.4
2,350.9
100.3
41.3
2,352.5
99.8
41.7
Other services
Membership associations and
organizations
Grantmaking and giving services
Grantmaking foundations
Voluntary health organizations
812
8121
81211
812111,2
812113
81219
8122
81221
81222
8123
81231
See footnotes at end of table.
110
1,258.4
2,843.3
37.1
139.6
ESTABLISHMENT DATA
EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-11. Employees on nonfarm payrolls by detailed industry—Continued
(In thousands)
Industry
Other services-Continued
Other grantmaking and giving
services
Social advocacy organizations
Humanrightsorganizations
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
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
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
813219
813219
8133
813311
40.7
174.9
42.4
40.5
170.3
41.7
40.2
178.3
41.1
39.6
176.3
40.6
29.8
140.3
33.1
29.0
136.3
32.3
30.0
142.6
32.0
29.4
140.9
31.4
813312,9
8134
8139
81391
81392
132.5
404.2
493.9
122.0
70.8
129.1
393.7
479.5
121.9
69.7
137.2
403.9
473.7
123.0
71.6
135.7
406.2
477.1
122.2
71.5
107.2
341.3
369.0
90.6
45.2
104.0
331.3
357.5
90.5
44.8
110.6
337.0
355.0
88.0
50.1
109.5
337.8
358.0
88.0
50.2
81393
141.2
131.2
125.9
130.7
101.5
93.7
89.2
92.5
159.9
22,050
2,728
1,939.3
248.8
480.4
788.8
1,183.8
5,102
2,358.0
2,743.9
347.1
156.7
21,627
2,706
1,932.1
248.8
479.0
773.7
1,178.3
4,926
2,179.8
2,746.6
347.3
153.2
22,331
2,721
1,945.2
248.7
485.6
776.2
1,184.4
5,185
2,422.2
2,762.7
348.5
152.7
22,219
2,714
1,929.0
249.3
485.4
784.7
1,167.8
5,136
2,375.7
2,760.5
349.9
131.7
128.5
127.7
127.3
1,840.7
556.1
14,220
8,123.6
6,096.0
236.4
251.5
658.7
1,842.2
557.1
13,996
7,934.7
6,060.5
236.4
251.6
658.6
1,851.0
563.2
14,425
8,253.2
6,172.1
236.2
251.5
673.9
1,845.8
564.8
14,369
8,218.6
6,149.9
237.0
250.2
674.2
3,936.7
1,012.7
3,912.9
1,001.0
3,987.9
1,022.6
3,972.1
1,016.4
81394,9
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.
2
Excludes nonoffice commissioned real estate sales agents.
3
Includes rural mail carriers.
Production workers1
AH employees
Jan.
2006 P
21,775
2,689
1,922.3
767.1
4,956
2,196.0
2,759.9
14,130
8,015.0
6,114.5
- Data not available.
P = preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels.
Unadjusted datafromApril 2004 forward are subject to revision. See the
article in this issue for additional information.
Ill
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry
(In thousands)
Anniston-Oxford
Auburn-Opellka
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsvllle
Mobile
Montgomery
Tuscaloosa
Alaska
Anchorage
Fairbanks
Arizona
Flagstaff..
Phoenix-Mesa-Scottsdale
Prescott
Tucson
Yuma
Arkansas
Fayetteville-Springdale-Rogers
Fort Smith
Hot Springs
Jonesboro
Little Rock-North Little Rock
Pine Bluff
California
Bakersfield
Chico
El 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 Obispo-Paso Robles
Santa Barbara-Santa Maria-Goleta
Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton
Vallejo-Fairfield
Vlsalia-Porten/ille
Yuba City
Colorado
Boulder
Colorado Springs
Denver-Aurora
Fort Collins-Loveland
Grand Junction
Greeley
Pueblo
,
Connecticut
Bridgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
Delaware
Dover
District of Columbia
Washington-Arlington-Alexandria
Nov.
2005
Dec.
2004
Dec.
2005P
Dec.
2004
Nov.
2005
1,927.5
51.1
51.1
516.4
56.2
61.6
53.9
38.0
195.1
175.4
169.3
93.0
1,945.8
51.6
51.5
516.4
57.3
62.8
55.1
38.3
198.9
178.3
175.5
95.4
1,944.9
51.1
50.8
516.7
57.4
63.3
54.9
38.4
198.9
178.5
175.1
95.4
12.8
293.2
161.6
36.1
300.6
165.3
37.2
298.6
164.9
37.2
10.0
10.5
10.7
2.0
.8
2.1
1.0
2.1
1.0
2,451.0
61.0
1,728.6
57.5
371.6
54.0
2,544.0
64.4
1,798.3
60.3
382.7
55.1
2,561.8
63.6
1,811.8
60.4
385.2
57.9
8.8
9.6
9.7
1,171.6
191.7
118.7
37.4
48.3
329.9
40.6
1,185.6
198.4
119.9
38.3
49.7
331.7
40.9
1,184.7
198.1
119.4
38.3
49.3
331.6
40.8
14,755.9
213.9
72.7
41.6
288.0
34.0
5,503.9
33.8
58.6
155.6
60.6
286.8
65.4
1,171.9
865.8
127.1
1,275.2
1,981.3
859.3
99.8
169.1
94.3
186.4
203.8
126.5
104.4
38.9 •
14,957.3
221.2
74.2
44.7
291.8
34.9
5,558.3
34.6
58.7
159.8
62.4
290.0
65.6
1,191.1
881.5
129.0
1,289.2
2,007.7
861.9
101.2
173.6
97.5
187.9
208.3
129.0
105.4
42.2
14,990.0
221.0
73.9
44.9
291.6
34.9
5,573.1
34.4
59.2
159.8
61.8
290.9
65.4
1,193.5
884.7
128.8
1,292.6
2,012.8
862.2
100.7
173.4
97.4
186.7
208.0
128.7
105.4
42.1
2,223.1
161.2
251.8
1,189.1
130.0
55.9
76.7
55.9
2,244.0
165.7
255.0
1,197.4
132.6
56.5
79.2
57.0
2,263.4
166.0
256.3
1,201.8
132.4
56.6
78.9
57.4
1,686.3
414.9
69.9
547.3
274.5
135.5
69.4
1,693.3
417.7
69.7
550.1
276.5
135.9
70.6
1,697.1
417.7
69.5
550.5
275.2
136.6
70.6
432.6
63.2
437.5
64.1
438.9
64.0
676.6
2,902.9
689.7
2,978.9
688.3
2,984.5
Dec.
2005P
See footnotes at end of table.
Construction
Natural resources and mining
Total
State and area
112
13.0
3.1
(1) 2.2
(1) 1.4
0)
13.0
3.2
3.1
(1) 2.5
(1) 1.6
(1)
7.5
<!>
(1) 2.5
(1) 1.6
(1)
7.6
7.6
<!>
<>
<>
O
O
O
<>
<!>
(1)
(1)
<>
<>
O
<>
(1)
|
<>
<>
22.9
23.5
23.2
8.2
8.4
8.4
(1) .7
(1) 1.2
O1)
<
.2
0) 4.8
(r)
< 1>
()
(1) .7
(1) 1.2
(!)
(1) .2
(1) 4.8
<!>
(11 )
t )
(1) .7
(1) 1.2
.7
.2
.4
1.4
.2
.7
.2
.4
1.4
.2
.7
.2
.4
1.4
.2
1
(0>
) .2
(1) 4.6
<!>
<>
<>
0)
(1)
.9
.3
.2
.3
1
(O
)
15.3
o
()
o
<)
1
1
16.6
(1)
(?)
<>
<>
<>
O)
o
(1)
<!>
O)
.3
.2
.4
16.8
O
<>
<>
<>
( )
( 1)
o
o
0)
.7
.8
(J)
<1>
<>
<>
()
()
.3
.2
.4
<!>
(1)
<>
<>
<>
<>
< 1>
<>
<>
< 1>
(1)
(1)
.8
<!>
(1)
(])
O
(?)
(1)
(1)
Ii
(12)
()
( ))
(
< 1>
()
<!>
(
<!>
O)
•7
Dec.
2005P
106.4
107.1
107.2
1.7
2.5
1.7
2.5
1.7
2.5
33.3
32.9
32.8
4.0
4.1
3.5
2.1
6.6
4.2
4.4
3.6
2.1
6.7
4.2
4.4
3.6
2.1
6.7
14.7
15.0
15.0
9.1
9.4
9.2
9.7
9.1
9.8
15.9
10.3
17.7
11.5
16.7
10.9
2.4
2.7
2.4
198.7
223.6
224.9
3.6
3.9
3.8
147.1
166.4
167.8
7.5
7.7
7.7
24.9
26.9
27.0
4.8
5.4
5.4
51.7
10.1
53.7
10.9
53.4
10.8
6.5
2.4
2.1
6.7
2.4
2.3
6.7
2.4
2.3
17.3
17.3
17.3
1.5
1.7
1.7
863.5
15.4
937.1
17.2
931.5
16.9
3.8
1.7
4.0
2.1
3.9
2.1
20.5
23.1
23.1
1.5
1.7
1.6
235.3
247.7
246.3
2.5
3.7
2.8
3.8
2.7
3.8
12.7
12.8
12.6
4.7
4.7
4.7
16.7
18.8
18.6
4.8
5.5
5.2
115.0
70.0
121.3
74.6
120.0
73.2
7.1
7.2
7.2
89.5
113.1
40.6
94.5
121.4
41.8
94.5
119.4
40.5
7.2
9.2
5.5
7.3
7.3
10.2
10.0
5.9
6.0
14.0
15.2
13.1
14.8
16.3
13.9
14.5
16.1
13.5
6.3
2.4
6.4
3.3
6.2
3.2
153.4
165.0
161.6
6.6
6.6
6.6
16.0
87.4
17.1
90.8
10.2
17.2
89.6
10.0
9.8
5.4
9.6
3.9
()
.8
Nov.
2005
Dec.
2004
68.0
14.4
5.9
5.9
10.4
10.5
4.1
4.1
72.8
15.1
70.8
14.5
(2)21.6
(2)22.2
(2)21.5
11.4
12.4
10.8
4.8
4.4
2.9
4.9 I
3.2
27.2
28.2 I
3.6 |
3.3
12.0
179.1
12.2
188.9
3.0
28.0
3.5
12.1
187.0
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Dec.
2004
Nov.
2005
Information
Trade, transportation, aiid utilities
Manufacturing
State and area
Dec.
2005P
Dec.
2004
Dec.
2005P
Nov.
2005
Nov.
2005
Dec.
2004
Dec.
2005P
293.8
7.7
6.9
43.3
13.6
8.3
7.3
5.7
29.3
14.4
17.2
14.1
296.6
6.7
43.7
13.0
8.1
7.6
6.1
30.1
14.4
19.8
15.8
297.4
7.2
6.8
43.7
13.1
8.3
7.6
6.1
30.1
14.5
19.8
15.8
386.5
10.1
8.4
114.9
10.4
15.8
11.4
7.1
31.6
39.0
30.8
15.7
388.0
10.6
8.7
115.2
10.5
15.9
11.3
7.2
31.8
38.8
30.9
15.7
390.0
10.5
8.8
115.9
10.7
16.0
11.3
7.3
31.9
38.9
30.8
15.7
31.0
1.1
.5
13.5
.4
.9
.7
.5
2.2
2.4
2.7
1.0
31.1
1.1
.5 i
13.3 !
.4
1.0
.8
.5
2.2
2.5
2.7
1.0
31.0
1.0
.5
13.2
.4
1.0
.8
.5
2.2
2.5
2.7
1.0
5.8
1.9
.5
7.7
2.0
.6
6.0
2.0
.6
60.9
37.5
7.3
61.6
37.6
7.5
61.6
37.4
7.5
6.9
4.9
.6
7.0
5.0
.6
6.9
5.0
.6
176.4
3.5
130.2
3.3
28.3
3.3
176.3
3.8
130.7
3.4
28.6
2.4
177.2
3.8
130.7
3.4
28.6
3.3
488.8
9.5
357.5
11.5
62.1
11.9
500.1
9.8
368.5
12.1
63.2
11.4
508.1
9.7
374.0
12.2
64.4
12.9
46.4
.5
34.4
.7
7.4
1.2
46.0
.5
34.1
.7
7.0
1.4
46.3
.5
34.4
.7
6.9
1.3
204.3
33.7
28.7
3.5
9.0
25.1
7.3
200.9
33.9
28.5
3.5
9.0
25.4
7.3
200.2
33.8
27.9
3.5
8.8
25.4
7.3
247.1
45.3
23.5
7.5
9.8
69.4
7.5
248.5
46.7
23.8
7.6
9.9
68.9
7.7
250.5
46.9
23.7
7.6
10.0
69.3
7.7
20.2
2.5
1.7
19.9
2.5
1.6
20.0
2.5
1.6
1,528.6
12.4
3.8
2.2
27.2
3.9
662.5
3.3
11.4
22.3
10.3
38.4
2.8
119.6
48.1
6.9
104.1
144.7
169.6
6.3
12.9
7.5
23.7
20.4
9.1
11.5
2.8
1,532.7
12.9
4.0
2.5
26.8
3.7
656.3
3.3
11.0
22.8
10.9
37.8
2.8
121.5
49.6
7.2
103.6
146.2
169.8
6.6
13.5
7.9
23.2
20.8
9.4
11.1
2.6
1,532.4
12.8
3.8
2.5
26.8
3.8
657.7
3.3
10.9
22.9
10.5
37.7
2.8
121.3
49.6
7.2
103.8
146.1
170.2
6.6
13.5
7.8
23.1
20.2
9.4
11.0
2.6
2,863.8
42.3
14.3
10.5
58.1
5.6
1,076.9
5.2
11.5
33.0
9.1
54.5
13.9
262.3
152.1
26.1
222.0
369.8
133.7
19.7
28.9
19.4
35.3
48.3
27.6
23.0
8.0
2,847.6
43.3
14.7
12.0
57.7
5.6
1,075.0
5.2
11.4
33.5
9.1
54.5
14.0
263.5
155.1
26.9
219.3
366.9
131.7
20.4
29.5
19.7
34.6
49.1
27.7
22.1
9.0
2,879.6
43.4
14.8
12.3
57.8
5.6
1,085.9
5.2
11.6
33.9
9.2
55.9
14.0
265.7
157.6
27.3
221.7
373.3
133.8
20.2
29.6
20.0
34.9
49;1
27.9
22.6
9.0
Colorado
Boulder
Colorado Springs
Denver-Aurora
Fort Collins-Loveland
Grand Junction
Greeley
Pueblo
155.7
18.7
20.7
73.2
14.8
3.5
10.1
4.0
152.6
18.9
19.9
72.3
14.2
3.4
9.8
3.9
152.7
18.8
20.1
72.4
14.2
3.4
9.9
4.0
421.1
23.6
41.1
242.5
22.8
12.7
14.2
11.1
421.5
23.9
40.3
240.8
22.8
12.6
14.4
11.3
427.8
24.1
40.7
244.2
22.8
12.6
14.4
11.4
78.8
9.2
9.1
50.5
2.4
1.0
1.1 i
.8
75.1
8.5
8.8
46.7
2.3
.9
1.0
.8 I
74.9
8.6
8.7
46.6
2.3
.9
1.0
Connecticut
Bridgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
199.0
41.3
197.5
40.4
197.6
40.3
321.4
76.6
16.5
91.5
52.7
23.0
13.8
327.3
78.0 i
17.0
92.4
52.7
23.4
13.7 i
39.3
12.0
39.1
12.0
39.2
12.0
Alabama
Anniston-Oxford
Auburn-Opelika
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsville
Mobile
Montgomery
Tuscaloosa
Alaska
Anchorage
Fairbanks
Arizona
Flagstaff
Phoenix-Mesa-Scottsdale
Prescott
Tucson
Yuma
Arkansas
Fayettevilie-Springdale-Rogers
Fort Smith
Hot Springs
Jonesboro
Little Rock-North Little Rock
Pine Bluff
,
California
Bakersfield
Chico
El 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 Obispo-Paso Robles
Santa Barbara-Santa Maria-Goleta
Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton
Vallejo-Fairfield
Visalia-Porterville
Yuba City
Delaware
Dover
I
District of Columbia
Washington-Arlington-Alexandria
7.3 I
(2)64.0
(2)64.0
(2)64.1
34.2
17.8
10.8
33.7
17.9
11.2
34.3
18.1
11.1
325.4
78.2 I
16.9
91.8
52.3
23.2
13.8
34.9
4.3 j
34.2
3.9
34.4
3.8
84.2
13.3
85.4
13.9
2.5
65.0
2.5
66.4
2.5
66.1
28.8
415.9
28.9
420.7
See footnotes at end of table.
113
|
I
|
i
(2)
.7
9.4
.2
479.1
2.6
1.4
.4
4.5
.3
236.4
.6
1.4
2.6
.7
6.6
1.2
13.6
20.5
2.3
36.3
74.3
33.8
1.5
4.0
1.9
4.2
2.7
1.6
1.2
.4
(2)
.7
9.6
.2
484.0
2.7
1.5
.4
4.6
.3
247.8
.6
1.3
2.6
.7
6.7
1.0
13.5
19.6
2.3
36.9
72.0
34.2
1.5
4.0
2.0
4.1
2.7
1.7
1.2
.4
(2)11.4 I < 2 >11.7
(2)
.7
9.6
.2
485.7
2.7
1.5
.4
4.6
.3
249.3
.6
1.4
2.6
.7
6.7
1.0
13.6
19.7
2.3
36.9
72.1
34.5
1.5
4.0
2.0
4.1
2.7
1.7
1.2
.4
.8
(2)11.8
9.1 !
2.1 i
1-1 i
9.1
2.0
1.1
9.1
1.9
1.1
86.3
13.9
7.1
.7
7.0
.5
7.0
• .5
29.4
426.3
23.1
107.6
23.3
107.8
23.5
107.5
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Financial activities
State and area
Dec.
2004
j
Nov.
2005
Professional and business services
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
Education and health services
Dec.
2004
Nov.
2005
Dec.
2005P
96.1
1.5 i
1.5
39.9
2.3
2.4
2.1
1.5
5.9
9.5
10.5
3.3
96.0
1.5
1.5
38.9
2.3
2.4
2.1
1.5
6.1
9.7
11.0
3.3
95.9
1.5 i
1.5
39.0
2.3
2.4
2.1
1.5
6.0
9.6
10.9
3.4
202.6
5.2
4.6
63.9
4.8 |
5.0
3.8 ;
3.6 !
40.5
22.9
17.9
6.7
209.6
5.4
5.4
65.0
5.5
5.0
4.1
3.1
42.5
24.4
18.6
6.9
209.1
5.4
5.4 i
64.9
5.5
5.1
4.0
3.0
42.4
24.3
18.7
6.9
195.5
4.7
2.9
60.0
4.8
7.3
4.8
6.8
13.8
20.6
19.9
6.7
198.6 !
4.4
2.9
59.6
5.0
7.6
5.0
7.0
14.4
21.1
20.5
7.0
197.9
4.3
2.9
59.5
4.9
7.6
5.0
7.0
14.3
21.0
20.5
6.9
14.5
9.5
1.4
14.7
9.9
1.5
14.7
9.9
1.5
22.7
16.9
2.2
23.5
17.2
2.2
23.4
17.2
2.1
35.0
21.2
4.2
35.8
21.9
4.1
36.1
22.0
4.2
166.5
1.6
140.0
1.9
17.8
1.4
173.2
1.6
145.8
2.0
19.1
1.5
174.6
1.6
146.8
2.1
19.3
1.5
343.8
3.3
279.3
4.1
42.3
3.4
361.2
3.5
292.5
4.4
44.8
3.6
364.4
3.5
295.6
4.5
45.5
3.8
267.2
6.9
177.2
8.3
49.3
6.3
281.8
7.4
186.6
8.6
51.5
6.5
282.2
7.5
187.1
8.7
51.6
6.5
51.4
7.1
4.1
1.5
1.9
19.8
1.4
52.3
7.2
4.1
1.6
2.0
20.2
1.4
52.7
7.3
4.2
1.6
2.0
20.2
1.4
107.9
29.3
11.4
2.7
3.3
40.9
2.5
109.9
30.6
11.5
2.9
3.5
41.6
2.8
109.4
30.5
11.6
2.9
3.5
41.4
2.8
145.8
17.3
13.9
7.0
7.3
42.8
6.1
150.4
17.9
14.2
7.1
7.6
42.9
6.2
150.1
17.9
14.2
7.1
7.6
42.9
6.2
California
Bakersfield
Chico
El Centro
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 Obispo-Paso Robles
Santa Barbara-Santa Maria-Goleta
Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton...;
Vallejo-Falrfield
....
Visalia-Porterville
Yuba City
917.9
8.7
4.2
1.4
13.9
1.2
378.1
.8
1.9
6.0
2.4
23.8
3.5
45.8
61.2
6.2
82.0
158.0
35.3
4.7
8.6
3.7
9.8
9.5
5.9
4.4
1.6
925.3
9.0
4.3
1.4
13.8
1.2
378.8
.8
1.8
6.2
2.5
23.5
3.4
47.0
61.1
6.0
83.2
161.7
35.4
4.7
8.5
4.0
9.7
9.4
6.0
4.5
1.8
929.4
9.0
4.3
1.4
13.8
1.2
379.6
.8
1.8
6.3
2.5
23.5
3.4
47.2
61.2
6.1
83.3
162.2
35.7
4.6
8.6
4.0
9.7
9.4
5.9
4.5
1.8
2,141.5
21.4
5.6
2.1
27.4
1.4
837.0
2.9
3.4
14.2
5.4
37.1
6.5
126.8
98.4
11.3
208.0
325.1
165.3
8.8
21.6
9.1
19.9
19.2
11.8
9.2
2.7
2,169.7
22.8
5.7
2.2
27.5
1.3
848.1
2.9
3.3
15.1
5.6
38.4
6.6
129.4
100.9
11.4
206.5
325.5
164.1
8.9
22.8
9.6
20.0
20.5
12.2
9.8
2.9
2,175.0
22.6
5.6
2.2
27.4
1.3
848.8
2.9
3.3
15.0
5.5
38.5
6.7
130.1
101.5
11.3
206.9
327.7
165.0
8.8
23.1
9.7
20.0
20.9
12.2
10.0
2.9
1,583.4
22.0
12.7
2.5
35.6
3.4
607.1
5.6
5.4
19.3
7.9
28.2
10.6
117.8
86.1
12.1
121.6
220.2
95.9
10.5
20.0
11.6
22.9
25.1
15.5
9.2
5.1
1,609.7
22.0
12.7
2.7
35.9
4.2
616.0
5.8
5.4
19.5
8.3
28.4
10.5
119.4
86.7
12.4
126.5
228.7
96.7
10.5
20.2
11.0
22.9
25.5
15.8
9.4
5.2
1,608.9
22.3
12.7
2.7
35.9
4.2
616.6
5.7
5.4
19.5
8.3
28.3
10.5
119.6
86.8
12.3
126.9
228.2
96.4
10.4
20.2
11.1
22.9
25.8
15.8
9.4
5.2
Colorado
Boulder
Colorado Springs
Denver-Aurora
Fort Collins-Loveland
Grand Junction
Greeley
Pueblo
158.2
7.7
17.5
99.7
5.7
3.1
4.3
2.3
159.5
7.9
17.8
100.8
5.9
3.3
4.3
2.3
161.5
8.0
18.0
101.5
6.0
3.3
4.2
2.3
304.5
27.6
36.2
186.3
14.2
5.1
6.6
4.7
313.3
29.1
38.0
190.8
14.9
4.9
6.7
5.1
314.9
29.3
38.4
190.8
15.0
4.9
6.7
5.2
227.1
17.7
24.1
121.1
14.1
8.1
8.1
9.6
228.3
17.8
24.2
121.3
14.2
8.2
8.0
9.6
142.5
43.1
202.1
69.3
8.8
59.3
25.5 !
10.3
5.9
201.4
68.9
8.7
58.9
25.5
10.2
6.2
Alabama
Anniston-Oxford
Aubum-Opelika
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsville
Mobile
Montgomery
Tuscaloosa
,
,
,
Alaska
Anchorage
Fairbanks
Arizona
Flagstaff
Phoenix-Mesa-Scottsdale
Prescott
Tucson
Yuma
Arkansas
Fayetteville-Springdale-Rogers
Fort Smith
Hot Springs
Jonesboro
Little Rock-North Little Rock
Pine Bluff
Connecticut
Bridgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
Delaware
Dover
District of Columbia
Washington-Arlington-Alexandria
141.0
42.3
142.3
42.9
( )67.9
( )67.4
( )67.4
13.8
3.3
2.8
13.0
3.4
2.8
12.9
3.5
2.8
200.6
69.6
8.3
57.8
26.0
10.2
6.3
44.5
2.8
46.0
2.9
46.0
2.9
63.2
3.2
63.1
3.3
30.4
157.7
30.8
162.0
30.9
162.5
144.8
628.9
148.1
647.9
2
2
2
See footnotes at end of table.
114
222.9
16.5 I
23.8 i
119.3 |
13.6
7.8
7.8
9.3
274.3
60.7
2
276.8 I
62.2
2
276.9
62.0
2
( )85.8
( )86.7
( )86.8
62.2
18.4
14.3
62.8
18.8
14.3
62.9
18.8
14.5
63.6
3.2
53.2
7.4
53.7
7.5
53.6
7.6
148.7
651.4
93.7
307.1
99.1
318.1
96.8
316.2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Leisure and hospitality
State and area
Dec.
2004
Alabama
Anniston-Oxford
Auburn-Opelika
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsville
Mobile
Montgomery
Tuscaloosa
!
i
!
!
I
Alaska
Anchorage
Fairbanks
I
I
Arizona
Flagstaff
Phoenix-Mesa-Scottsdale
Prescott
Tucson
Yuma
Arkansas
Fayetteville-Springdale-Rogers
Fort Smith
Hot Springs
Jonesboro
Little Rock-North Little Rock
Pine Bluff
,
:
California
Bakersfield
Chico
El 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 Obispo-Paso Robles
Santa Barbara-Santa Maria-Goleta
Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton
Vallejo-Fairfield
Visalia-Porterville
Yuba City
Colorado
Boulder
Colorado Springs
Denver-Aurora
Fort Collins-Loveland
Grand Junction
Greeley
Pueblo
Connecticut
Bridgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
Delaware
Dover
District of Columbia
Washington-Arlington-Alexandria
Nov.
2005
Dec.
2004
Nov.
2005
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
158.3
4.8
5.9
41.1
4.6
5.3
5.1
3.9
15.3
14.9
14.0
8.5
160.9
5.0
5.8
42.0
5.1
5.4
5.2
3.9
15.2
15.5
14.7
8.7
160.4
5.0
5.8
41.9
5.0
5.5
5.1
4.0
15.3
15.6
14.7
8.6
80.8
2.1
1.5
23.4
2.5
2.7
3.6
1.5
7.8
9.3
7.7
3.6
80.3
2.0
1.5
23.1
2.5
2.7
3.5
1.5
7.8
9.0
7.9
3.5
80.1
2.0
1.5
23.1
2.5
2.7
3.5
1.5
7.8
9.1
7.9
3.6
363.7
12.2
16.4
80.0
8.8
9.8
11.6
5.3 I
42.1
27.7 I
39.5
24.0
364.6
12.6
16.0
79.5
8.8
10.3
11.9
5.4
42.1
27.9
40.2
23.8
27.3
16.4
3.7
28.2
16.9
3.9
28.2
17.1
4.0
11.7
6.7
1.3
11.5
6.6
1.3
11.6
6.6
1.3
82.5
34.3
11.7
82.4
34.6
11.8
82.7
34.7
12.0
246.5
11.5
164.3
7.4
40.2
5.4
257.0
12.1
169.7
8.0
42.4
5.5
258.9
11.8
171.2
7.9
42.7
5.7
90.1
1.8
64.9
1.9
15.0
1.7
93.3
2.0
66.9
2.0
15.1
1.8
93.8
2.0
67.4
2.0
15.0
1.8
417.8
18.8
231.5
10.9
82.9
14.6
421.9
19.8
234.6
11.4
82.5
15.6
421.7
19.4
234.3
11.2
82.6
15.7
88.8
14.5
8.4
5.9
4.1
25.6
2.4
90.8
15.4
8.9
6.5
4.1
25.5
2.4
89.6
15.4
8.9
6.4
4.0
25.2
2.3
41.2
6.0
3.6
(2) 1.7
41.0
6.0
3.6
(2) 1.7
41.0
6.0
3.6
(2) 1.7
14.2
1.3
14.6
1.3
14.6
1.3
205.7
25.9
16.9
4.7
8.4
65.4
10.4
210.6
27.3
17.0
4.4
8.9
65.7
9.9
210.2
27.0
17.0
4.4
8.7
65.7
9.9
1,448.6
18.9
6.7
3.0
23.7
2.7
535.0
2.4
4.6
14.4
8.5
28.3
6.8
116.6
80.1
20.6
144.6
195.9
66.3
14.6
21.5
10.8
20.3
17.2
12.1
7.4
3.5
1,479.4
19.4
6.9
3.3
24.1
2.9
545.2
2.4
4.6
15.3
8.6
28.4
6.6
115.8
80.0
20.6
149.5
200.5
66.3
14.8
21.9
11.4
20.5
18.0
11.7
7.6
3.7
1,484.0
19.3
6.9
3.3
24.1
2.9
546.3
2.4
4.6
15.4
8.5
28.2
6.6
116.5
81.8
20.5
150.1
200.4
65.4
14.6
22.0
11.4
20.5
18.0
11.8
7.4
3.7
506.0
6.7
4.0
.9
10.8
.4
192.1
.8
1.6
6.0
1.8
10.0
2.4
38.4
28.1
4.8
48.3
73.1
24.8
4.4
5.6
3.8
6.4
6.2
4.0
2.8
1.4
508.7
7.0
4.2
.9
10.8
.4
194.8
.9
1.6
6.1
1.8
10.2
2.5
39.8
28.6
4.8
49.9
73.0
25.1
4.4
5.6
3.9
6.6
6.3
4.2
2.8
1.4
509.5
7.0
4.2
.9
10.8
.4
194.5
.9
1.6
6.0
1.8
10.2
2.5
39.9
28.5
4.8
50.0
73.4
25.1
4.4
5.6
3.9
6.6
6.3
4.2 I
2.8
1.4 [
2,400.6
55.3
16.2
16.9
66.1
13.6
738.9
9.7
13.7
25.1
9.8
42.5
12.9
214.8
220.5
29.5
218.4
305.7
93.8
22.1
35.9
21.0
29.6
39.8
25.5
29.4
11.0
2,439.6
56.5
16.2
17.2
67.3
13.6
743.8
9.9
14.5
25.9
10.2
42.6
12.7
218.7
224.6
30.0
218.9
310.4
96.6
22.1
36.6
22.1
31.2
39.5
26.0
30.5
11.9
2,430.8
56.6
16.2
17.1
67.1
13.6
743.3
9.9
14.8
25.6
10.1
42.6
12.7
218.4
224.1
29.6
218.1
308.6
95.4
22.3
36.0
21.5
30.1
39.3
25.9
30.3
11.9
256.0
16.0
29.0
117.8
15.0
6.5
6.4
5.8
248.6
17.1
29.9
118.7
15.4
6.8
7.0
6.1
260.8
17.0
29.8
119.9
15.5
6.7
7.1
6.1
87.6
5.0
14.2
45.0
4.3
2.1
2.4
2.0
88.4
5.1
14.1
45.7
4.5
2.1
2.5
2.0
88.8
5.1 j
14.2 i
46.0
4.5
2.1
2.5
2.0
369.6
30.3
44.2
167.4
27.4
8.7
14.2
12.0
376.3
30.9
45.0
169.7
28.3
8.5
15.0
11.8
375.3
30.7
45.0
169.5
27.9
8.6
14.6
11.9
127.3
31.8
5.2
38.0
20.6
12.2
4.5
127.7
33.2
5.0
38.1
22.4
12.3
4.9
128.5
33.0
5.2
38.4
22.3
12.3
4.9
63.6
17.1
249.8
49.0
8.5
88.3
34.2
39.4
10.6
248.6
48.8
8.4
88.2
34.2
39.8
10.5
39.7
7.9
41.2
8.3
51.8
242.4
54.5
255.0
41.1
8.4 ,
53.9
253.9
See footnotes at end of table.
Government
Other services
Dec.
2005P
115
63.2
16.9
( )20.9
( )20.9
( )21.0
10.7
3.9
2.8
10.7
3.9
2.8
10.5
3.8
2.8
247.5
47.7
8.4
88.1
34.2
40.0
10.1
18.6
2.4
18.3
2.4 j
18.4
2.4
60.0
17.9
59.2
166.9
60.6 I
171.3
60.6
172.4
230.3
631.8
2
2
63.0
17.0
2
!
I
j
I
]
60.4
17.8 |
229.7
640.8
362.9
12.5
15.1
.79.6
8.8
10.3
11.9
5.4
42.2
28.0
40.0
23.7
60.5
17.8
229.9
641.2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls In States and selected areas by major industry—Continued
(In thousands)
Total
State and area
Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach-Ormond Beach .
Fort Walton Beach-Crestview-Destin
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdale-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 Gorda
Sarasota-Bradenton-Venice
Tampa-St. Petersburg-Clearwater.
Vero Beach
Georgia
Dec.
2004
,695.0
210.6
166.9
85.2
133.6
590.7
204.5
,357.2
125.4
94.1
,001.0
209.0
71.0
169.1
122.1
41.1
310.9
171.2
,296.1
45.4
3,932.2
64.6
77.5
2,293.3
Nov.
2005
7,892.1
217.0
169.3
88.7
136.4
608.3
207.5
2,391.9
219.2
169.8
89.2
136.1
610.6
209.8
2,412.7
131.3
96.7
1,043.1
213.0
73.9
214.0
73.8
172.3
173.1
126.1
42.4
322.1
175.0
1,328.5
46.0
318.7
174.9
1,324.5
45.7
101.3
43.2
146.2
53.0
51.0
598.6
441.5
610.9
451.0
615.3
454.3
593.6
247.4
49.9
50.0
26.1
38.6
621.5
257.7
54.1
52.7
26.5
39.9
621.0
258.1
54.0
53.0
26.5
40.0
5,862.8
89.3
113.7
4,454.5
32.2
182.1
54.6
43.1
176.5
154.1
110.2
5,932.9
89.8
114.6
4,509.4
32.2
183.5
55.2
43.3
178.0
153.8
110.9
5,925.7
89.5
113.9
4,504.5
32.3
183.0
55.1
43.3
177.5
153.6
110.5
Indiana
Anderson
Bloomington
Columbus
Elkhart-Goshen
Evansville
Fort Wayne
Indianapolis
Kokomo
Lafayette...
Michigan City-La Porte....
Muncie
,
South Bend-Mishawaka.
Terre Haute
2,972.6
45.6
79.4
43.1
130.3
178.7
2,990.0
45.3
2,985.8
45.5
82.2
Iowa
Ames
Cedar Rapids
Des Moines
1,473.4
47.1
130.9
303.4
51.7
85.4
71.1
88.3
Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta..
Augusta-Richmond County
Brunswick
Columbus
Dalton
Gainesville
Hinesville-Fort Stewart
Macon
Rome
Savannah
Valdosta
Warner Robins
Hawaii
Honolulu .
Idaho
Boise City-Nampa..
Coeur d'Alene
Idaho Falls
Lewiston
Pocatello
Illinois
Bloomington-Normal
Champaign-Urbana
Chicago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island .
Decatur
Kankakee-Bradley
Peoria
Rockford
Springfield
Dubuque
Iowa City
Sioux City
Waterloo-Cedar Falls.
212.1
42.7
120.1
75.9
68.7
16.7
214.8
891.6
48.7
93.8
47.1
55.0
147.8
75.7
83.6
44.0
131.2
181.2
216.2
890.6
48.6
94.9
46.8
54.7
147.6
78.4
2,336.1
215.6
43.7
122.2
77.0
69.3
17.2
101.6
43.0
151.2
53.4
53.1
>
(
>
<( 1 ) >
(1)
1,503.3
47.9
132.9
309.4
52.7
85.9
71.9
90.0
1,502.6
47.1
132.2
309.8
52.2
85.2
71.4
89.5
116
( )
(1)
(<!>}
(
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(
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V
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(
(
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6.5
2.2
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(
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2.0
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12.0
1
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}
( }
(1>
(1)
(1)
(1)
(1)
(1)
4.6
>
>
>
>
<( >
( >
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(
>
(
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(1)
(
(
<>
(
>
<( >
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<( >
( >
( >
( >
( >
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V>
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30.5
21.3
34.0
23.8
39.9
17.4
4.3
3.6
1.2
2.0
47.1
20.4
5.4
4.5
1.3
2.3
263.2
3.1
2 4.1
277.2
3.1
2 4.3
(1)
4.4
.4
.2
(1)
9.3
( )
(
(
( >
}
(
(
(
>
>
( >
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(
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( )
7.4
(
(
(
(
(
(
(
(
(
(
(
(
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>
>
>
>
>
>
>
>
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O
(?)
(1>
.8
8.4
3.4
1.9
8.5
8.2
5.3
147.8
1.7
4.2
155.0
1.7
4.9
1.8
5.3
12.8
11.4
52.9
1.4
12.0
55.2
<!>
1
( )
2.1
6.8
3.5
6.7
3.3
2.2
>
1.5
4.0
2.4
3.8
2.3
2.1
( )
(
1.7
4.5
12.0
1>
2.3
( )
.8
8.2
3.3
1.8
8.3
7.9
4.8
1>
7.3
<v>
<>
<1)
>
>
( )
>
( }
202.7
3.3
3.4
129.0
12.9
2.8
6.0
1.5
2 4.0
>
(1)
(
(
1
(V
)
2.1
197.2
3.5
3.3
124.0
12.7
3.0
5.6
1.4
2 4.0
O
(
{
(
137.5
19.1
9.7
74.1
15.0
5.6
12.6
11.9
4.8
23.9
8.8
80.0
4.6
5.4
1.3
9.1
2.7
1.3
<( >
( >
( >
( >
>
1>
(
>
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.1
5.4
6.1
42.2
14.2
5.4
1.4
8.7
3.0
1.4
(1)
>
>
(
6.9
(
(
.4
533.5
29.6
12.7
5.8
40.0
13.6
131.8
17.0
9.2
69.7
14.4
5.3
11.8
11.4
4.4
22.8
8.5
73.7
4.3
( )
9.4
9.1
(
(
(
(
507.5
27.7
12.3
4.9
(
(1)
(1)
2.0
l
(
(
(
(
4.1
.6
(1)
>
>
>
(
( 1>
>
(1)
.4
(
V}
(
(
(
.6
(1)
l>
(
(
(
.4
(1)
( >}
12.0
( )
>
( 1>)
(
(
1
1
(
(! >
.6
(1)
12.0
( )
.4
1
<]>
(
(
54.8
148.0
75.6
1
Nov.
2005
Dec.
2004
(
(
( >
}
( )
(
75.9
(
( )
43.9
48.6
94.4
47.0
6.6
1
131.3
181.5
216.4
891.1
See footnotes at end of table.
6.8
Dec.
2005P
(
3,997.3
64.3
3,984.7
64.1
78.8
2,328.3
214.9
43.5
121.5
77.0
69.4
17.4
101.2
43.0
150.3
53.2
53.2
Nov.
2005
Dec.
2004
7,945.4
129.2
96.4
1,036.0
125.4
42.2
Construction
Natural resources and mining
Dec.
2005P
67.8
(2)
6.6
16.7
71.1
(2)
6.5
16.4
<;>
<!>
(2)
(2)
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Manufacturing
State and area
Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach-Ormond Beach
Fort Walton Beach-Crestview-Destin ....
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdale-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 Gorda
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petersburg-Clearwater
Vero Beach
Dec.
2004
Nov.
2005
Nov.
2005
1,567.9
45.6
32.9
16.6
18.0
134.0
46.7
529.4
23.8
21.3
194.0
37.5
14.7
32.1
28.7
8.8
53.0
25.2
229.0
9.9
1,597.2
46.9
33.4
16.9
18.3
136.3
48.0
539.1
24.8
21.5
197.6
38.1
14.7
32.8
29.2
9.0
54.5
25.7
232.4
10.2
169.8
4.3
2.8
2.3
2.2
10.9
2.2
59.0
1.9
1.2
25.0
2.8
1.7
4.0
1.7
.5
4.3
4.0
33.2
.6
169.9 !
4.3
2.8
2.2
2.1
10.6
2.2
58.7
1.9
1.2
25.3
2.7
1.6
4.0
1.7
.5
4.2
3.9
34.0
.6
170.5
4.3
2.8
2.2
2.1
10.6
2.2
58.6
1.9
1.2
25.4
2.7
1.6
4.0
1.7
.5
4.2
4.0
33.9
.6
117.8
.9
.9
91.3
3.2
.7
6.2
.7
.4
117.8
.9
.8
91.1
3.4
.7
6.3
.7
.5
118.3
.9
.9
91.5
3.4
.7
6.4
.7
.5
392.5
6.4
9.9
42
4.3
33.9
17.1
99.0
2.9
9.7
44.2
23.4
3.3
7.1
6.0
1.1
17.7
4.2
71.1
1.8
392.2
6.4
9.9
4.2
4.3
34.1
16.8
99.4
2.8
9.6
44.4
23.6
3.3
7.1
6.0
1.1
17.6
4.2
70.6
1.8
1,560.3 i
45.5
33.1
16.4
18.3
132.1
46.6
531.9
24.0
21.5
192.7
37.4
13.9
31.9
27.9
8.9
52.3
25.2
228.8
10.1
441.3
8.0
9.3
175.3
24.8
3.3
14.7
30.7
17.1
441.4
7.3
9.7
173.4
24.7
3.2
14.5
31.0
16.8
442.2
7.4
9.6
173.9
24.5
3.2
14.4
30.9
16.8
852.6
14.2
13.1
532.1
38.0
8.5
19.0
15.6
13.2
2.7
19.8
7.4
34.7
11.8
7.3
862.0
14.3
13.2
538.4
38.5
8.6
19.3
15.7
13.2
2.7
20.1
7.5
35.4
11.9
7.4
(2) 8.4
(2) 8.4
9.4
13.7
6.3
4.2
9.0
13.6
6.3
4.4
9.1
13.7
6.2
4.4
Hawaii
Honolulu
15.5
12.1
15.2
11.9
15.3
12.0
118.3
84.3
120.9
87.0
Idaho
Boise City-Nampa
Coeur d'Alene
Idaho Falls
Lewiston
Pocatello
61.1
29.6
4.1
3.0
3.0
3.4
62.6
28.7
4.4
3.2
2.8
3.3
62.4
28.8
4.4
3.3
2.8
3.3
121.0
47.5
9.7
12.4
5.3
7.6
Illinois
Bloomington-Normal
Champaign-Urbana
Chicago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island
Decatur
Kankakee-Bradley
Peoria
Rockford
,
Springfield
699.5
6.1
11.2
504.5
6.1
23.9
11.0
5.0
29.2
32.3
3.5
692.9
6.1
11.2
496.2
6.1
23.9
11.0
4.9
30.2
30.8
3.5
692.3
6.1
11.2
494.4
6.1
24.0
11.0
4.9
30.3
31.3
3.5
Indiana
575.5
7.3
9.5
14.6
64.3
35.5
36.7
102.1
16.2
17.2
9.5
6.9
22.3
12.2
571.2
7.1
9.1
14.9
64.4
36.1
37.9
99.3
15.8
17.2
9.4
6.8
22.5
12.4
570.4
7.2
9.0
15.0
64.5
36.1
37.8
99.4
15.8
17.2
9.4
6.7
22.5
12.4
Hinesville-Fort Stewart
Macon
Rome
Savannah
Valdosta
Warner Robins
Anderson
Bloomington
Columbus
Elkhart-Goshen
Evansville
Fort Wayne
Indianapolis
Kokomo
Lafayette
Michigan City-La Porte
Muncie
South Bend-Mishawaka
Terre Haute
Iowa
Ames
Cedar Rapids
Des Moines
Dubuque
Iowa City
Sioux City
Waterioo-Cedar Falls
224.1
(2)19.7
19.6
O
(2)
12.8
16.6
229.7
230.3
(2)19.9
(2)19.9
20.6
20.6
(2)
<o>
2
2
( )12.9
( )12.9
17.0
16.7
See footnotes at end of table.
Dec.
2005P
387.1
6.3
9.8
4.2
4.2
33.7
17.7
99.8
2.8
9.6
43.1
23.2
3.3
7.2
5.9
1.1
17.5
4.2
71.2
1.8
<2)8.9
Gainesville
117
Nov.
2005
Dec.
2004
853.2
14.4
13.4
532.9
38.0
8.0
19.1
15.8
13.1
2.7
19.5
7.7
34.2
12.1
7.3
Georgia
Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta
Augusta-Richmond County
Brunswick
Columbus
Dalton
Information
Trade, transportation, and utilities
Dec.
2005P
Dec.
2004.
Dec.
2005P
!
(2) 2.1
(2) 2.0
<2>2.0
.9
1.9
.5
.5
.9
1.9
.5
.6
.9
1.9
.5
.6
123.0
88.7
11.2
9.3
10.8
9.0
10.8
9.0
126.2
49.0
10.3
12.6
5.5
7.6
126.8
49.3
10.4
12.8
5.5
7.7
10.1
4.4
.9
1.2
.4
.7
11.0
4.9
1.0
1.1
.4
.7
11.1
4.9
1.0
1.1
.4
.7
1,216.1
14.3
19.1
935.5
7.9
39.9
12.0
10.6
34.0
29.7
18.6
1,210.9
14.1
18.9
931.9
7.7
40.6
12.1
10.6
34.2
29.6
18.1
1,226.2
14.3
19.1
943.8
7.8
40.8
12.1
10.7
34.2
29.8
18.4
119.1
1.1
2.2
93.8
.5
3.1
.8
.6
3.0
2.2
3.1
117.3
1.1
2.2
93.0
.5
3.1
.8
.6
3.0
2.2
3.0
117.4
1.2
2.2
93.2
.5
3.1
.8
.6
3.0
2.2
3.0
590.6
9.1
13.0
7.2
18.4
37.6
46.7
193.2
8.1
14.9
9.2
9.4
29.6
14.9
587.4
9.0
13.0
7.3
18.5
37.8
46.9
193.8
8.2
14.8
9.3
9.5
29.0
14.7
40.6
.6
1.3
.5
.9
2.9
3.4
16.5
.3
.9
-7
.5
2.4
.8
40.6
40.6
.6
1.3
.5
.9
2.9
3.3
16.3
.3
.9
.7
.5
313.9
(2)29.2
67.5
315.3
(2)29.7
67.1
593.6
9.0
13.0
7.3
18.5
37.9
47.6
195.8
8.1
14.9
9.4 I
9.5
29.5
14.8
317.4
(2)29.7
33.9 |
(2) 5.6
68.5
(2)15.9
(2)15.5
(2)15.6
14.0
16.8
13.5
16.4
13.6
16.4
9.3
<o>
<!>
O
(2)
•6
1.3
.4
.8
2.9
3.3
16.3
.3
.9
.7
.4
2.3 I
.8
2.3
.8
33.9 |
33.9
9.7 I
9.9
2
(2) 5.8 !I. ( )5.8
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<o)
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls In States and selected areas by major Industry—Continued
(In thousands)
Professional and business services
Financial activities
State and area
Nov.
2005
Dec.
2004
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
Education and health services
Dec.
2004
Nov.
2005
Dec.
2005P
Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach-Ormond Beach
Fort Walton Beach-Crestview-Destin ....
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdale-Miami Beach ....
Naples-Marco Island
Ocala
Orlando
Palm Bay-Melboume-Titusville
Panama City-Lynn Haven
Pensacola-Ferry Pass-Brent
Port St. Lucie-Fort Pierce
Punta Gorda
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petersburg-Clearwater
Vero Beach
507.4
11.8
7.0
6.6
6.2
57.9
11.1
170.8
7.1
4.8
60.3
8.0
5.7
7.6
6.7
2.2
15.0
7.7
94.3
2.6
517.4
12.7
6.9
7.4
6.3
59.4
12.0
174.5
7.1
5.2
62.4
8.2
5.7
8.0
7.2
2.2
15.0
7.9
92.9
2.6
518.7
12.7
6.9
7.4
6.2
59.0
12.1
174.9
7.2
5.2
63.2
8.2
5.6
8.1
7.2
2.2
15.0
7.9
92.7
2.6
1,328.8
29.7
19.0
12.2
11.4
88.6
37.9
398.9
20.0
8.1
168.8
36.2
7.9
22.4
14.0
3.7
91.3
17.6
336.0
4.3
1,402.9
30.8
20.0
12.9
12.0
94.0
38.6
413.8
21.0
8.5
178.2
37.0
8.3
22.4
14.4
3.8
96.0
18.6
347.7
4.5
1,406.7
30.7
20.2
13.0
12.0
94.4
39.0
413.2
20.9
8.6
178.8
37.2
8.4
22.4
14.2
3.8
96.9
18.1
347.8
4.5
939.5
19.3
32.2
7.8
22.0
69.2
25.0
298.2
13.4
11.1
100.7
27.4
9.3
28.8
17.6
7.6
38.6
16.5
149.6
8.0
967.9
19.6
32.7
8.0
22.6
72.8
26.1
307.1
13.7
11.6
104.6
28.2
9.4
29.6
17.7
7.8
39.2
16.7
154.0
8.2
971.6
19.7
32.6
8.0
22.7
72.6
26.4
309.3
13.9
11.6
105.1
28.2
9.5
29.6
17.6
7.8
39.4
16.8
155.2
8.2
Georgia
Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta
Augusta-Richmond County
Brunswick
Columbus ;
Dalton
Gainesville
Hinesville-Fort Stewart
Macon
Rome
Savannah
Valdosta
Warner Robins
220.4
2.4
2.7
153.2
6.7
1.7
9.1
1.6
3.2
223.3
2.4
2.8
156.3
7.4
1.7
9.0
1.7
3.4
224.7
2.4
2.8
156.7
7.4
1.7
9.1
1.7
3.4
519.9
5.9
5.4
376.5
32.8
3.0
12.7
8.7
4.5
530.1
5.8
6.0
384.0
32.4
3.3
12.8
8.7
4.8
530.6
5.9
5.9
384.1
32.6
3.3
13.1
8.9
4.8
411.6
8.9
9.0
223.5
26.2
3.4
13.8
4.2
9.7
421.7
9.1
9.4
230.9
26.9
3.7
14.1
4.5
9.7
422.0
9.1
9.3
231.1
26.9
3.6
14.1
4.4
9.7
(2) 8.4
(2) 8.2
(2) 8.2
(2)11.4
(2)11.4
(2)11.6
(2)17.8
(2)17.9
(2)18.0
1.5
6.2
1.8
1.3
1.5
6.8
1.8
1.6
1.5
6.7
1.8
1.6
3.5
16.2
4.0
5.3
3.5
16.8
4.6
5.9
3.6
16.9
4.5
5.8
7.7
19.6
5.2
3.6
7.8
20.4
5.3
4.1
7.7
20.1
5.3
4.0
Hawaii
Honolulu
28.8
22.3
29.5
22.8
29.5
22.9
72.1
58.1
74.8
60.3
75.3
60.5
69.2
54.8
70.8
56.0
70.9
56.0
Idaho
Boise City-Nampa
Coeur d'Alene
Idaho Falls
Lewiston
Pocatello
28.4
13.3
2.5
1.9
1.8
2.1
29.8
13.6
2.7
2.0
1.9
2.1
30.0
13.7
2.8
2.0
1.9
2.1
73.3
35.5
5.8
8.2
1.5
4.7
78.8
37.8
6.4
9.0
1.6
5.1
78.6
37.6
6.4
9.0
1.6
5.2
67.0
30.5
5.3
6.3
4.1
3.0
70.3
31.7
5.7
6.6
4.3
3.1
70.6
31.9
5.7
6.7
4.3
3.2
Illinois
Bloomington-Norma!
Champaign-Urbana
Chicago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island
Decatur
Kankakee-Bradley
Peoria
Rockford
Springfield
400.5
12.1
4.5
324.7
1.7
8.8
2.5
2.0
8.5
7.6
7.4
405.2
12.2
4.5
327.9
1.7
9.0
2.6
2.0
8.5
7.7
7.4
407.3
12.2
4.5
329.0
1.7
9.0
2.6
2.0
8.5
7.8
7.4
806.9
16.4
7.5
689.1
1.7
21.9
5.1
2.5
17.1
16.1
10.3
837.7
16.6
7.6
722.5
1.7
22.3
5.2
2.5
17.3
16.4
10.3
832.2
16.5
7.5
715.9
1.7
22.0
5.2
2.5
17.3
16.2
10.3
735.7
8.1
12.0
549.6
3.1
22.3
6.8
7.6
30.7
21.0
16.4
745.9
8.1
12.0
558.5
3.2
22.3
6.9
7.6
30.6
21.0 |
16.3
744.7
8.1
12.1
557.4
3.2
22.2
6.9
7.6
30.6
21.0
16.3
Indiana
Anderson
Bloomington
Columbus
Elkhart-Goshen
Evansville
Fort Wayne
Indianapolis
Kokomo
Lafayette
Michigan City-La Porte
Muncie
South Bend-Mishawaka
Terre Haute
141.4
2.0
3.1
1.6
3.0
6.5
13.0
64.0
1.6
3.9
1.3
2.1
7.2
2.7 I
141.6
2.1
3.1
1.6
3.1
6.5
13.2
63.3
1.6
3.7
1.3
2.0
7.2
2.7 !
141.9
2.1
3.1
1.6
3.1
6.6
13.3
63.6
1.6 i
3.7
1.3 I
2.1
7.2
2.7
270.3
2.8
5.8
3.8
8.8
16.9
20.1
121.0
3.0
4.9
2.6
4.1
12.3
5.5
275.5
2.8
6.0
4.1
9.2
17.4
20.5
121.0
3.2
5.3
2.7
4.2
12.6
5.5
272.9
2.7
6.1 ;
4.0 I
9.1
17.6
20.4 !
120.3
3.1
5.3
2.7
4.2
12.6
5.6
379.6
7.9
9.5
3.5
10.4
25.4
32.7
106.7
3.7
8.9
6.6
9.4
32.2
12.3
386.8
8.1
9.8
3.6
10.5
25.8
33.3
105.0
3.7
9.1
6.5
9.3
32.1
12.4
386.8
8.1
9.8
3.6
10.5
25.9
33.4
104.9
3.8
9.1
6.5
9.3
32.1
12.3
Iowa
I
Ames
Cedar Rapids
Des Moines
Dubuque
Iowa City
Sioux City
Waterloo-Cedar Falls
...
,
,
,
97.5
100.6
(2) 9.9
,
,
,
47.2 i
<o>
<*>
()
<o>
2
101.1
(2)10.4
49.2 I
i O
i O
2
I
(2)10.4
((})
49.3
<o>
<o>
2
2
<)
| ( )
See footnotes at end of table.
118
105.9
(2)11.7
30.4
(2) 4.5
7.0
6.7
i
I
!
|
I
107.1
. 106.7
2
)
(2)12.2 ! ( 11.9
31.6
(2) 4.5
7.5 !
7.3
31.1
(2) 4.3
7.5
7.2
196.5
(2)16.6
35.2
O
<!>
(22)
()
200.1
(2)16.3
36.4
O
2
(O
2)
()
200.4
(2)16.4
36.3
<
?>
<!>
(22)
()
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Leisure and hospitality
State and area
Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach-Ormond Beach
Fort Walton Beach-Crestview-Destin ....
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdale-Miami Beach ....
Naples-Marco Island
Ocala
Orlando
Palm Bay-Melboume-Titusville
Panama City-Lynn Haven
Pensacola-Ferry Pass-Brent
Port St. Lucie-Fort Pierce
Punta Gorda
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petersburg-Clearwater
Vero Beach
Georgia
Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta
Augusta-Richmond County
Brunswick
Columbus
Dalton
Gainesville
Hinesville-Fort Stewart
Macon
Rome
Savannah
Valdosta
Warner Robins
Hawaii
Honolulu
Idaho
Boise City-Nampa
Coeur d'Alene
Idaho Falls
Lewiston
Pocatello
Illinois
Bloomington-Normal
Champaign-Urbana
Chicago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island
Decatur
Kankakee-Bradley
Peoria
Rockford
;
Springfield
Indiana
Anderson
Bloomington
Columbus
Elkhart-Goshen
Evansville
Fort Wayne
Indianapolis
Kokomo
Lafayette
Michigan City-La Porte
Muncie
South Bend-Mishawaka
Terre Haute
Iowa
Ames
Cedar Rapids
Des Moines
Dubuque
Iowa City
Sioux City
Waterloo-Cedar Falls
Nov.
2005
Dec.
2004
,
Other services
Dec.
2005P
867.7
25.4
19.7
11.5
13.6
56.3
14.8
246.8
20.7
8.6
181.3
21.0
8.9
18.0
13.5
4.8
29.8
14.6
109.8
6.0
889.7
26.7
19.8
12.7
14.6
58.5
14.9
245.8
21.1
8.8
189.6
21.8
10.1
18.5
13.5
4.9
29.3
15.4
111.9
5.7
903.4
27.2 j
19.8 !
12.7
14.3
59.0
15.2
254.1
22.0
8.8
191.1
21.8
9.9
18.4
13.9
4.9
30.4
15.4
112.3
5.7
323.2
8.4
8.2
3.9
4.9
26.5
8.0
98.5
5.4
3.8
47.9
8.7
3.4
8.2
5.4
1.6
11.7
8.1
48.1
2.2
354.7
4.4
7.4
210.7
18.8
8.6
12.4
3.7
4.8
369.3
4.7
7.4
219.9
19.5
8.5
12.7
3.8
4.I3
370.2
4.6
7.3
220.7
19.5
8.6
12.9
3.8
4.7
153.5
2.7
3.9
92.7
8.0
1.7
4.7
1.9
2.4
|
i
j
!
Dec.
2005P
326.2
8.5
8.4
3.9
5.0
27.0
8.0
99.9
5.4
3.8
48.8
8.6
3.5
8.3
5.4
1.6
11.9
8.2
49.0
2.2
327.3
8.5
8.4
4.0
155.4
2.8
3.8
93.9
8.1
1.8
4.7
2.1
2.4
155.2
2.8
3.8
93.6
8.1
1.8
4.6
2.1
2.4
5.0 I
26.9
8.0
100.3
5.5
3.9
48.9
8.6
3.5
8.3
5.4
1.6
11.9
8.2
49.2
22
!
!
!
I
Dec.
2004
Nov.
2005
1,096.9
32.2
22.8
15..4
45.0
75.1
27.6
321.0
13.1
16.2
111.1
29.9
11.6
29.2
18.0
6.3
27.6
64.8
150.9
5.5
1,117.6
32.8 i
23.2 \
15.4
45.4
75.5
27.7
324.7
13.2
16.6
114.4
30.6
11.7
29.7
18.9
6.7
28.2
66.0
154.3
5.6
]
I
j
|
I
Dec.
2005P
1,118.7
33.2
23.1
15.4
45.1
75.7
27.9
325.2
13.2
16.6
114.3
30.6
11.7
29.8
19.0
6.7
28.4
65.9
154.1
5.6
658.4
13.6
22.4
315.7
41.6
9.3
22.4
7.4
9.8
6.9
15.4
6.7
22.2
12.3
21.0
656.7
13.5
22.2
314.6
41.7
9.3
22.3
7.3
9.8
6.8
15.2
6.6
22.3
12.5
21.0
<2)8.7
(2) 8.9
(2) 8.8
(2) 3.8
(2) 3.8
(2) 3.8
3.1
17.7
5.8
4.9
3.4
18.0
6.0
5.2
3.3
18.1
6.0
5.2
1.5
6.4
1.9
1.7
1.5
6.8
1.9
1.8
1.5
6.9
1.9
1.7
650.6
13.5
22.2
311.0
40.9
9.3
21.8
7.2
9.5
6.6
15.3
6.5
21.6
12.4
20.8
106.0
62.3
108.2
63.9
108.6
64.1
24.1
18.8
25.0
19.4
25.2
19.5
122.9
98.2
121.7
96.9
122.6
97.9
54.2
21.7
5.8
4.7
2.4
3.6
55.4
22.4
6.5
4.3
2.4
3.8
56.3
22.6
6.4
4.9
2.4
3.7
18.2
7.0
1.5
1.8
1.1
1.2
18.6
7.2
1.6
1.8
1.1
1.3
18.6
7.2
1.6
1.8
1.1
1.3
116.3
40.5
9.6
6.9
5.1
10.3
117.1
42.0
9.7
7.1
5.1
10.6
115.9
41.8
9.6
7.2
5.1
10.5
503.8
9.3
10.9
384.4
2.6
18.5
4.8
3.8
17.1
11.7
9.9
518.8
9.4
11.1
392.2
2.6
18.6
4.8
3.9
17.3
12.1
10.2
515.6
9.3
11.0
390.4
2.6
18.6
4.9
3.9
17.1
11.9
10.1
257.7
3.6
3.4
194.5
1.5
8.1
2.6
1.7
7.4
9.4
6.4
256.5
3.6
3.4
198.0
1.6
8.0
2.7
1.7
7.4
9.5
6.5
257.2
3.6
3.4
197.6
1.6
8.0
2.7
1.7
7.4
9.4
6.5
851.2
15.2
38.8
560.4
6.3
27.4
5.7
7.5
21.2
16.2
29.8
861.1
15.5
39.4
563.3
6.3
27.3
5.7
7.6
21.0
16.3
30.3
856.9
15.2
38.8
563.3
6.3
27.2
5.7
7.6
20.9
16.3
30.1
272.9
4.9
8.2
3.2
7.2
16.5
19.7
84.8
4.6
8.5 j
5.3
5.3 I
12.3 I
7.4
278.0
4.8
8.1
3.1
7.0 !
16.4
20.4
85.6
4.6
8.8
5.2
5.3
12.4
7.2
277.5
4.8
8.1
3.1
7.2
16.6
20.5
85.4
4.6
8.7
5.3
5.3
12.4
7.1
110.1
1.9
2.8
1.3
3.9
7.4
8.3
34.4
2.4
2.9
1.8
1.9
5.5
2.9
109.5
1.9
2.7
1.3
3.8
7.2
8.1
34.9
2.4
2.8
1.7
1.9
5.5
2.8
110.2
1.9
2.7
1.3
3.8
7.3
8.1
34.7 I
2.4 i
2.9
436.9
7.4
22.0
5.7
8.5 !
18.0
22.8
116.0 I
7A |
27.9 I
7.8 !
13.3 I
17.3 |
13.7
437.1
7.2
26.0
5.9 ,
8.6
18.3
20.6
116.2
7.3
28.3
7.6
13.2
17.2
13.9
433.6
7.4
24.9
5.8
8.6
18.2
20.4
116.4
7.4
27.8
7.6
13.2
17.2
13.6
126.5
134.4
133.9
56.2
252.2
19.1
16.0
39.0
4.4
33.0
9.3
14.7
251.4
18.9
15.8
39.1
4.4
32.7
9.2
14.7
(2)10.7 I! < 2 >10.7
26.7 j
<2)6.7
7.0
7.0
I
27.2
(2) 7.0
(2)10.8 ! < 2 >5.2
27.1
12.5
(2) 6.9 1 <!>
7.3
6.6
7.1
6.5
See footnotes at end of table.
Government
Nov.
2005
Dec.
2004
119
!
i
2
(O
)
(2)
!
|
I
1.8
I
1.9 I
5.5
2.8
56.6 !
56.7
(2) 5.4 iI ( 2 > 5.4
12.2
O
O
O
(2)
12.5
<!>
O
O
(2)
I
249.0
19.7
15.7
38.3
4.2
32.4
9.0
15.1
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—-Continued
(In thousands)
Total
State and area
Nov.
2005
Kansas
Lawrence
Topeka
Wichita
1,343.5
54.2
112.3
286.1
1,371.0
55.6
112.5
286.2
1,364.8
56.0
112.6
286.0
Kentucky
Bowling Green
Elizabethtown
Lexington-Fayette
Louisville
Owensboro
1,818.2
58.5
46.5
247.5
606.2
50.2
1,840.1
58.7
46.7
249.5
613.1
51.1
1,839.1
58.6
46.7
250.4
612.5
51.0
Louisiana
Alexandria
Baton Rouge
Houma-Bayou Cane-Thibodaux....
Lafayette
Lake Charles
Monroe
New Orleans-Metairie-Kenner
Shreveport-Bossier City
1,930.7
61.2
346.5
80.2
135.0
88.1
79.3
622.8
171.5
1,724.5
60.9
348.0
82.4
137.2
87.5
79.8
417.4
173.6
1,734.0
60.7
347.0
82.6
137.5
91.4
80.3
424.7
174.6
Maine
Bangor
Lewiston-Aubum
Portland-South Portland-Biddeford
620.3
67.2
49.1
200.2
625.5
67.1
50.1
201.4
622.9
66.1
49.4
201.4
Maryland
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg
Salisbury
2,565.1
1,278.5
39.3
99.6
54.7
2,603.1
1,295.0
39.2
99.8
55.5
2,598.9
1,297.7
39.0
99.8
55.4
Massachusetts
Barnstable Town
Boston-Cambridge-Quincy
Leominster-Fitchburg-Gardner
New Bedford
Pittsfield
Springfield
Worcester
3,222.0
97.6
2,437.7
52.2
63.1
36.7
298.6
247.7
3,233.1
99.9
2,448.1
52.9
64.5
36.7
299.5
248.3
3,236.1
98.6
2,450.2
52.8
63.7
37.0
299.8
249.2
Michigan
Ann Arbor
Battle Creek
Bay City
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
Muskegon-Norton Shores
Niles-Benton Harbor
Saginaw-Saginaw Township North
4,423.1
205.5
64.7
40.2
2,058.8
163.8
388.9
116.9
62.5
145.8
233.5
43.9
65.9
64.3
94.6
4,410.8
207.9
63.4
39.7
2,053.1
162.0
387.3
112.3
63.0
147.4
234.2
44.0
66.7
64.1
93.3
4,398.0
206.8
63.4
39.4
2,045.5
162.3
389.9
112.6
62.6
146.2
232.5
43.9
66.7
63.5
93.3
Minnesota
Duluth
Minneapolis-St. Paul-Bloomington
Rochester
St. Cloud
2,711.7
130.6
1,767.0
102.8
98.1
2,747.4
132.6
1,788.6
104.5
99.3
2,745.2
131.9
1,790.3
104.6
99.0
Mississippi
Gulfport-Biloxi
Hattiesburg
Jackson
,
Pascagoula
1,133.5
113.6
54.7
258.5
53.8
1,111.8
90.1
55.9
257.7
53.8
1,109.2
87.1
55.9
257.5
54.1
Missouri
Columbia
Jefferson City
Joplin
Kansas City
St. Joseph
St. Louis 3
Springfield
2,726.7
89.1
79.5
77.1
977.2
53.9
1,341.4
185.5
2,749.9
91.2
79.6
77.8
982.0
54.9
1,344.4
189.5
2,749.0
91.7
79.3
78.9
982.3
55.0
1,347.6
189.8
Dec.
2005P
See footnotes at end of table.
Construction
Natural resources and mining
Dec.
2004
120
Dec.
2004
Nov.
2005
7.6
<
?>
<>
(2)
8.3
< 1>
(1)
C)
19.7
<!>
< 1>
()
44.8
<
?>
<>
()
(?)
< 1>
()
<!>
<>
<>
< 1>
(1) 1.1
o
o
<>
<>
()
8.5
O
(2)
.9
0)
O
<
?>
<>
46.2
2.9
3.0
3.0
117.2
93.6
94.8
(2)33.2
10.3
19.8
9.4
(2)40.0
2.7
.3
(2)33.3
(2)33.8
8.8
9.0
21.0
11.9
20.9
14.0
(2)30.7
(2)31.2
11.7
12.7
12.6
30.3
32.3
30.7
3.0
3.1
2.8
2.8
11.0
O
<!>
179.7
81.5
183.0
83.5
180.0
83.0
2.0
6.1
3.5
2.0
6.4
3.5
2.0
6.3
3.5
139.9
146.0
142.4
5.9
6.4
6.3
101.9
104.9
102.3
2.5
3.4
1.7
2.7
3.7
1.8
2.6
3.5
1.8
10.6
10.4
10.9
10.8
10.4
10.5
184.4
194.3
183.4
5.7
2.3
1.6
6.0
2.4
1.6
5.6
2.2
1.5
90.5
87.2
<>
<>
o
()
1
2.0
1.9
(1) 1.1
<!>
(1) 1.0
<1 )
()
(1)
8.5
(1)
8.2
85.1
O
(1)
6.9
7.6
7.2
19.1
20.1
19.7
6.3
2.6
6.4
9.0
2.4
2.4
2.3
4.0
6.6
2.6
6.6
9.6
2.4
2.4
2.4
4.1
6.4
2.4
6.2
9.0
2.3
2.3
2.2
3.8
122.4
132.3
121.6
(11)
(1)
(1)
()
(1)
o
o
(o)
1
6.4
(21)
()
(1)
o
o
< )
< )
<>
<>
(1)
O
0)1
<)
4.7
<!>
O
<2)
(1)
(1)
()
11.1
()
O
(1)
< 1>
(1)
()
<>
< 1>
3.1
2.1
13.1
36.3
3.1
2.8
o>
5.6
3.1
2.1
13.2
36.9
10.8
(11)
(1)
(1)
0)
16.0
88.1
O
(1)
<>
<>
()
16.3
89.1
3.0
2.0
o
<!>
(1)
<>
<>
< )
<>
<>
<>
<>
<>
<>
<>
< 1)
15.8
O
0)
7.8
<l
>
<>
62.8
(2) 5.9
12.6
35.0
2.7
.3
<>
< 1>
(1)
68.5
(2) 6.6
O
(2)
()
0)
()
2.0
Dec.
2005P
85.2
< 1>
<>
<>
< 1>
()
63.6
(2) 6.2
<?>
O
0)
> •
2.8
.3
O
(1)
8.4
21.0
45.5
<
Nov.
2005
Dec.
2004
< 1>
<!>
<>
0)
(1)
<!>
< 1>
()
<>
< 1>
(2)
O
(1)
21.0
<!>
(1)
(1)
()
<>
<>
< 1>
(1)
Dec.
2005P
(1)
0)1
o
C)
8.2
.9
5.4
(21)
()
(1)
O
(2)
(?)
(1)
(22)
(2)
(1)
()
o
(1)
<!>
0)
6.1
O
<>
7.9
8.9
8.3
80.6
85.9
81.1
4.4
4.6
4.8
4.8 !
5.3
4.8
8.3
49.3
.9
(2)12.2
(2)12.7
(2)12.8
1.8
3.7
3.3
5.3
5.2
136.8
(2)
i
!
50.4
4.1
141.2
49.4
4.2
137.1
< >
(2)
50.4
(2)80.4
(22)
(2)
( )56.0
(2)82.8
(22)
(2)
( )54.3
(2)81.5
8.9
9.2
8.9
2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
IManufacturing
State and area
j
Kansas
Lawrence
Topeka
Wichita
Kentucky
Bowling Green
Elizabethtown
Lexington-Fayette
Louisville
Owensboro
Louisiana
Alexandria
Baton Rouge
Houma-Bayou Cane-Thibodaux....
Lafayette
Lake Charles
Monroe
New Orleans-Metairie-Kenner
Shreveport-Bossier City
^
I!
Dec.
2004
178.7
!
Trade, transportation, and utilities
Nov.
2005
Dec.
2005P
Dec.
2004
Nov.
2005
Information
Dec.
2005P
41.4
60.2
59.7
59.4
266.3
9.3
6.9
34.2
80.4
9.5
267.0
9.3
6.8
34.2
80.3
9.5
381.9
11.6
8.5
46.4
135.2
10.1
382.9
11.2
8.8
46.1 I
140.2
347.6
11.9
65.8
21.2
27.5
15.0
14.6
79.2
33.3
352.5
11.8
66.6
21.3
27.8
15.7
14.5
82.0
33.5
(2) 5.3
(2) 3.0
(22)
( ) 9.7
(2) 5.2
(2) 3.2
( ) 7.9
<2>5.1
(2) 3.2
<!>
(2) 7.8
2.7
2.7
2.7
11.9
1.4
.8
4.7
12.0
1.6
.8
4.5
12.0
1.5
.8
4.6
152.0
179.8 l
(2) 8.1 I
139.6
266.5
8.5
21.3
49.3
266.6
8.6
21.3
49.5
384.4
11.3 j
8.9 j
46.8
136.3
10.0
135.7 I
10.0
(2) 3.0
8.0
8.8
27.7
13.9
8.2
8.7
28.1
13.9
64.1
3.5
6.1
16.3
62.9
3.4
6.0
15.4
62.7
3.3
6.1
15.4
131.5
15.8
10.7
46.4
131.2
15.5
11.1
45.8
132.3
15.5
10.9
46.8
142.4
75.2
4.7
12.2
5.1
137.8
73.0
4.5
11.8
5.0
137.8
72.7
4.5
11.8
5.0
488.0
252.3
7.5
21.2
11.6
489.2
249.6
7.6
21.0
12.0
494.1
253.1
7.6
21.1
12.2
Massachusetts
Barnstable Town
Boston-Cambridge-Quincy
Leominster-Fitchburg-Gardner
New Bedford
Pittsfield
Springfield
Worcester
313.8
3.4
232.4
9.8
10.5
3.9
39.4
29.3
313.5
3.4
232.9
9.7
10.9
3.6
40.4
28.4
314.0
3.4
233.3
9.7
10.6
3.6
40.6
28.5
593.9
23.1
441.2
10.9
12.7
6.5
63.5
47.0
585.9
23.0
433.6
10.7
12.9
6.4
62.9
46.4
593.7
23.1
439.9
10.9
12.9
6.5
63.2
46.8
Michigan
Ann Arbor
Battle Creek
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
Muskegon-Norton Shores
Niles-Benton Harbor
Saginaw-Saginaw Township North
694.8
22.9
14.6
4.6
298.9
22.7
75.1
36.5
10.3
24.5
22.6
9.0
13.8
15.0
14.5
670.7
22.3
14.2
4.3
290.1
21.6
71.7
34.2
10.0
24.2
20.9
8.0
13.4
14.2
13.1
674.3
22.4
14.2
4.3
292.7
21.8
72.3
34.1
10.0
24.3
21.4
8.4
13.5
14.1
13.3
832.1
28.3
10.7
9.3
393.3
33.2
74.5
17.5
12.9
26.3
37.9
10.1
13.9
12.7
18.3
817.6
28.3
10.7
9.2
386.2
32.2
73.1
16.8
12.8
26.2
37.1
10.0
13.7
12.8
18.1
824.3
28.6
10.7
9.2
390.7
32.6
74.5
17.3
12.9
26.3
37.7
10.1
13.7
12.7
18.2
Minnesota
Duluth
Minneapolis-St. Paul-Bloomington
Rochester
St. Cloud
346.7
8.4
206.2
12.9
17.1
350.1
8.6
207.2
13.4
17.0
348.8
8.4
207.6
13.3
17.0
541.7
26.8
348.2
16.6
21.7
533.0
26.6
345.1
16.4
21.8
537.9
26.7
347.7
16.6
21.8
Mississippi
Gulfport-Biloxi
Hattiesburg
Jackson
Pascagoula
179.3
6.3
4.4
22.6
16.1
175.2
4.5
4.4
21.8
15.1
175.7
4.5
4.4
21.7
15.5
224.5
21.0
11.6
53.0 j
8.7
220.5
14.3
12.2
53.2
8.0
223.1 !
15.3
12.3 !
54.1 !
8.3
Missouri
Columbia
Jefferson City
Joplin
Kansas City
St. Joseph
St. Louis 3
Springfield
(22)
(2)
( )84.5
(2146.7
)
(22)
(2)
( )84.2
(2147.7
)
318.6
18.6
17.9
550.9 !
14.9 I
14.8
19.2
209.0
11.4
261.8
45.4
550.0
14.7
15.6
19.1
206.8
11.1
254.5
45.7
555.1 I
14.9
15.7
19.2
208.2
11.1
257.6
46.1
Bay City
316.7
317.9
O
(2)
i
(2)83.9
(2148.5
)
17.9
See footnotes at end of table.
121
5.8
5,7
27.6
27.5
28.7
8.8
9.3
39.4
14.2
40.9
(2) 2.8
5.7
(22)
( ) 4.4 i
2
51.4
21.7
(22)
( ) 4.4
10.2
.6
10.6
.6
388.1
11.8
65.9
19.7
27.4
17.5
14.3
126.4
33.2
Hagerstown-Martinsburg
Salisbury
(2) 2.4
28.4
(22)
( ) 4.5
(2)26.4
(2) 7.4
Cumberland
40.1
266.0
9.3
6.9
34.1
80.5
9.5
179.3
2
i < >8.1
(2)26.9
(2) 7.4
Maryland
Baltimore-Towson
Dec.
2005P
264.1
8.6
21.2
49.6
< 28.0
>
(2)27.4
<2)7.5
Maine
Bangor
Lewiston-Auburn
Portland-South Portland-Biddeford
Nov.
2005
Dec.
2004
27.4
<o>
2
2
51.2
21.6
10.2
.6
27.1
2
51.1
21.5
( ) 3.1
(2)
( ) 3.0
(2)
( ) 3.0
(2)
85.9
2.0
72.1
.6
1.1
.7
4.4
3.9
84.0
1.9
70.8
.6
1.2
.7
4.3
3.6
84.1
1.9
70.9
.5
1.1
.7
4.3
3.6
2
66.7
3.7
()
.6
35.5
2.1
5.7
1.0
.5
1.4
3.1
(2)
.9
.8
2.0
2
63.9
3.7
()
.6
34.3
2.0
5.8
1.0
.5
1.4
3.0
(2)
59.1
2.6
41.6
1.6
1.4
(2)
<
(2f>
)
2
44.2
( )29.6
4.3
()
.6
34.2
2.0
5.8
1.0
.5
1.4
3.0
(2)
(2)
4.4
14.3
O
(2)
(2)
64.0
<o>
O
(2)
2
.9
.8
2.0
59.1
2.6
40.2
1.6
1.4
14.2
O
(2)
63.7
<o>
64.0
3.6
58.7
2.5
39.9
1.6
1.4
14.1
\ (O
2
)
4.8
.9
.8
2.0
2
4.4
64.3
o
(<?)>
2
43.8 i
( )29.5 II
4.5
43.9
(2)
29.6
4.5
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Professional and business services
Financial activities
State and area
Dec.
2004
70.4
Kansas
Lawrence
Topeka
Wichita
(2) 7.0
Kentucky
Bowling Green
Elizabethtown
Lexington-Fayette
Louisville
Monroe
New Orleans-Metairie-Kenner
Shreveport-Bossier City
72.7
73.1
(2) 6.9
(2) 6.8
12.2
11.8
11.8
86.2
84.6
84.9
(22)
( )10.9
(22)
( )10.9
39.1
2.3
39.2
2.3
39.4
2.3
103.2
98.0
96.8
156.6
81.2
158.9
82.9
2
162.6
5.5
16.7
38.2
165.0
5.1
17.0
38.9
165.1
5.0
17.0
39.0
168.2
6.5
4.2
31.3
67.3
2.8
172.4
6.6
4.4
30.2
67.7
2.8
172.5
6.6
4.4
31.2
67.3
2.8
233.4
6.8
4.3
30.6
74.4
5.4
237.8
6.9
4.5
31.2
75.4
5.6
237.7
6.9
4.5
31.0
75.7
5.6
183.2
157.1
157.4
7.7
34.3
2.2
3.1
16.3
49.1
5.5
4.9
21.7
49.5
5.8
4.8
21.7
2
159.1
83.4
380.5
178.9
2.4
8.1
4.8
34.1
2.3
3.1
16.2
Dec.
2005P
134.1
5.1
8.7
27.7
5.9
7.0
45.9
15.1
34.6
2.4
3.1
16.1
Nov.
2005
134.4
5.0
8.6
27.4
5.9
7.0
44.1
14.6
7.5
EducaticHI and health services
Dec.
2004
129.4
5.2
8.5
26.6
6.6
7.2
72.9
14.9
7.6
2
Dec.
2005P
(2)38.2
(2)14.7
(2)19.7
(2) 8.4
(22)
( )28.5
Lewiston-Aubum
Portland-South Portland-Biddeford
Nov.
2005
(2)37.9
(2)14.7
(2)19.4
(2) 8.3
(22)
( )28.5
Bangor
Dec.
2004
(2)37.3
(2)14.3
(2)18.8
(2) 8.3
(22)
( )35.7
Maine
Maryland
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg
Salisbury
Dec.
2005P
(2)
(2)11.0
Owensboro
Louisiana
Alexandria
Baton Rouge
,
Houma-Bayou Cane-Thibodaux ....
Lafayette
Lake Charles
Nov.
2005
253.2
211.3
211.8
(2)39.2
(2)19.9
<22>
( )84.6
(2)40.9
(2)19.4
(2)40.7
(2)19.5
<!>
(2)46.2
O
(2)
22.9
23.7
47.8
23.8
49.2
5.9
4.8
21.7
112.9
13.1
10.1
34.1
115.5
13.7
10.3
34.7
114.7
13.3
10.1
34.8
390.6
184.0
2.3
7.8
4.7
389.0
182.8
2.3
8.0
4.7
352.8
206.9
6.9
12.9
7.8
362.9
214.7
7.2
13.5
8.0
362.9
214.8
7.2
13.6
8.0
( ) 7.6
(2)
( ) 7.7
(2)
( ) 7.7
(2)
Massachusetts
Barnstable Town
Boston-Cambridge-Quincy
Leominster-Fitchburg-Gardner
New Bedford
Pittsfield
Springfield
Worcester
219.5
4.7
182.4
1.9
2.1
1.7
16.2
14.1
218.6
4.7
182.5
1.9
2.0
1.7
16.1
14.4
220.1
4.7
183.5
1.9
2.1
1.7
16.1
14.5
457.0
9.7
380.5
4.0
3.8
4.2
24.4
30.2
465.3
9.7
386.9
4.2
3.6
4.2
24.1
31.5
465.2
9.8
386.5
4.2
3.6
4.2
24.1
31.5
594.6
17.0
443.3
7.9
11.7
7.3
54.4
47.2
599.3
17.2
447.1
8.2
12.0
7.6
54.9
47.9
598.5
17.3
447.0
8.2
11.7
7.6
55.1
48.4
Michigan
Ann Arbor
Bay City
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
Muskegon-Norton Shores
Niles-Benton Harbor
Saginaw-Saginaw Township North
218.3
5.7
1.6
1.4
116.5
6.6
21.1
3.3
2.3
7.7
15.3
1.6
1.9
2.3
5.1
217.8
5.8
1.6
1.4
116.4
6.7
21.2
3.5
2.3
7.9
15.6
1.7
1.9
2.3
5.1
218.4
5.7
1.6
1.4
116.7
6.7
21.3
3.5
2.3
7.9
15.6
1.7
1.9
2.3
5.1
581.4
27.0
6.6
3.7
355.0
19.7
53.9
11.7
4.8
14.2
21.1
3.3
4.1
4.7
8.9
591.9
27.9
6.3
3.8
355.6
19.6
54.6
12.1
4.9
14.5
20.9
3.4
4.2
4.8
8.6
589.2
27.9
6.4
3.7
352.5
19.7
55.1
12.1
4.9
14.3
21.0
3.3
4.2
4.8
8.5
558.2
22.6
9.2
5.4
258.1
24.7
51.9
10.6
9.4
19.9
25.9
4.5
10.0
9.4
15.1
563.7
23.8
9.4
5.6
262.2
24.6
52.9
10.0 I
9.6 !
20.3
26.8
4.6 I
10.9
9.9
15.2
559.7
23.7
9.3
5.5
260.1
24.7
53.1
10.1
9.6
20.2
26.0
Minnesota
Duluth
,
Minneapolis-St. Paul-Bloomington
Rochester
,
St. Cloud
175.2
5.7
142.4
2.7
4.0
180.0
5.9
145.1
2.8
4.1
181.3
5.8
146.1
2.8
4.1
304.4
7.0
248.3
5.7
7.2
309.4
7.2
252.9
5.6
7.5
309.1
7.1
252.7
5.7
7.4
384.6
24.6
221.4
36.0
14.4
397.0
25.5
230.1
36.9 !
14.4
397.2
25.6
230.5
37.0
14.5
84.7
85.2
Battle Creek
Mississippi
Gulfport-Biloxi
Hattiesburg
Jackson
Pascagoula
Missouri
Columbia
Jefferson City
Joplin
Kansas City
St. Joseph
St. Louis 3
Springfield
,
45.8
<o>
< >16.1 !
2
()
166.0
,
(2)
i
(2)71.5
(2)78.4
o
11.6
45.2
45.3
( )
O
(2)
(2)
<2>
<o>
2
16.4
16.3
168.5
1
169.4
(2)
303.6
(2)
307.5
121.4
120.4
<!>
(2)28.4
(2)
85.1 !
<!>
(2)34.0
(2)
<!>
(2)33.9
(2)
307.8
363.5
372.7
120.5
O
(2)
33.7
(2)
.
372.9
(2)
O
(2)72.1
(2)78.1
(22)
(2)
( )72.2
(2)78.5
(2)
(2129.0
)
(2181.4
)
(2)
O
(2129.5
)
(2184.4
)
(2)
O
(2129.7
)
(2184.8
)
(2)
O
(2110.2
)
(2198.2
)
(2)
<2111.1
>
(2203.9
)
(22)
(2)
( 111.1
)
(2203.9
)
11.6
11.6
14.4
14.9
15.2
32.6
33.8
33.6
See footnotes at end of table.
<!>
<
(2f>
)28.5 I ( 2 29.3
)
4.5
10.9
9.7
15.2
122
<o>
o
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Leisure and hospitality
State and area
Dec.
2004
Nov.
2005
Dec.
2005P
Kansas
Lawrence
Topeka
Wichita
111.0
6.3
8.8
24.8
112.7
6.4
9.0
24.3
111.0
6.2
8.9
24.1
Kentucky
Bowling Green
Elizabethtown
Lexington-Fayette
Louisville
Owensboro
159.3
5.8
3.8
24.7
56.9
4.4
165.2
6.0
3.9
25.3
59.6
4.6
164.1
6.0
3.8
25.0
59.4
4.5
203.2
162.2
Government
Other services
Nov.
2005
Dec.
2004
53.9
Dec.
2005P
56.4
56.4
(2) 5.1
(2) 5.1
(2) 5.1
12.1
12.1
12.2
78.5
79.8
79.9
(2)
(2)10.3
(22)
( )10.4
(22)
( )10.4
29.3
2.4
29.1
2.5
29.1
2.5
72.4
61.5
61.9
Dec.
2004
Nov.
2005
Dec.
2005P
260.8 I
15.6
27.8 !
40.9
267.1
15.1
27.6
40.6
266.6
15.1
27.9
40.6
311.4
10.2
11.6
42.0
77.9
9.8
313.4
10.1
11.4
43.6
78.9
10.2
312.0
10.0
11.3
43.4
78.5
10.2
381.9
15.5
74.2
14.9
16.6
15.0
15.2
100.4
34.1
379.3
15.5
72.4
14.9
16.7
15.0
15.3
97.0
34.1
(2)84.0
(2)41.4
(2)44.7
23.0
22.9
23.0
8.0
8.1
8.2
384.7
15.6
74.8
14.8
16.1
14.9
14.6
107.1
33.4
53.4
5.4
3.3
17.8
55.4
5.9
3.5
19.4
54.3
5.9
3.5
18.3
19.8
2.0
1.3
6.0
19.5
1.5
1.3
5.9
19.7
1.5
1.3
6.0
109.9
14.7
6.0
26.3
110.4
14.1
6.1
26.7
110.3
13.9
6.0
26.5
Maryland
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg
Salisbury
223.4
108.8
3.5
9.0
4.3
232.0
111.6
3.4
8.8
4.1
229.2
111.1
3.4
8.5
4.1
2
118.1
54.1
474.6
218.1
8.2
15.4
10.5
479.8
220.2
8.4
15.8
10.9
477.6
221.2
8.4
15.8
10.7
Massachusetts
Barnstable Town
Boston-Cambridge-Quincy
Leominster-Rtchburg-Gardner
New Bedford
Pittsfield
Springfield
Worcester
285.6
13.2
204.0
4.8
6.3
4.9
25.8
21.6
290.3
14.6
211.0
5.1
6.4
4.7
26.4
21.7
Michigan
Ann Arbor
Battle Creek
Bay City
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
Muskegon-Norton Shores
Niles-Benton Harbor
Saginaw-Saginaw Township North
393.2
14.2
5.7
4.7
177.6
15.7
31.6
7.5
5.6
14.4
19.9
4.2
7.1
5.9
9.2
Minnesota
Duluth
Minneapolis-St. Paul-Bloomington
Rochester
St. Cloud
Mississippi
Gulfport-Biloxi
Hattiesburg
Jackson
Pascagoula
Louisiana
Alexandria
Baton Rouge
Houma-Bayou Cane-Thibodaux....
Lafayette
Lake Charies
Monroe
New Orieans-Metairie-Kenner
Shreveport-Bossier City
(2)30.3
(2)30.0
6.5
13.7
11.4
6.5
14.0
11.2.
6.6
13.8
12.3
Maine
Bangor
Lewiston-Auburn
Portland-South Portland-Biddeford
Missouri
Columbia
Jefferson City
Joplin
Kansas City
St. Joseph
St. Louis 3
Springfield
164.8
(2)30.5
115.7
53.9
2
(2)14.1
(2) 5.1
(22)
( )11.3
117.7
53.9
2
(2)14.1
(2) 5.1
(22)
( )11.7
( ) 4.0
(2)
( ) 4.0
(2)
( ) 4.0
(2)
287.1
13.2
208.0
5.0
6.4
4.9
26.1
21.7
115.8
3.9
86.2
1.8
2.5
1.4
11.3
9.3
114.0
4.0
85.0
1.8
2.6
1.5
11.6
9.0
114.2
4.0
84.9
1.8
2.6
1.5
11.6
8.9
414.0
14.7
292.6
8.0
9.0
4.4
48.6
34.7
414.2
15.0
292.3
8.0
9.2
4.5
47.9
34.6
414.9
14.9
292.9
8.0
9.2
4.5
48.3
34.8
398.2
14.3
5.5
4.7
179.9
15.4
31.7
7.8
5.8
14.8
20.3
4.2
6.9
5.7
9.5
397.5
14.1
5.5
4.7
177.9
15.3
32.0
7.7
5.7
14.7
19.9
3.9
6.9
5.6
9.6
177.3
6.1
2.5
2.5
95.7
6.9
17.0
4.4
2.8
6.6
10.7
2.2
2.6
2.8
4.4
181.0
6.2
2.5
2.5
97.2
6.9
16.9
4.5
2.8
6.6
10.9
2.2
2.6
2.8
4.4
181.5
6.2
2.5
2.5
96.8
6.9
16.9
4.5
2.8
6.6
10.8
2.2
2.6
2.8
4.4
708.9
69.3
10.8
6.4
243.1
25.3
39.0
18.1
11.3
24.4
68.0
6.5
9.8
8.4
13.1
703.2
69.6
10.8
6.0
240.7
25.4
39.3
15.8
11.7
24.9
69.1
7.1
9.8
8.4
13.2
697.5
69.0
10.7
6.0
236.7
25.4
39.2
15.9
11.5
24.3
68.1
7.1
9.7
8.5
13.2
230.9
12.9
155.0
8.4
8.2
237.3
13.0
156.9
8.5
8.4
238.8
13.0
158.5
8.6
8.5
119.4
6.0
76.5
3.7
4.6
117.4
5.9
72.7
3.7
4.6
118.1
6.0
73.0
3.7
4.6
421.7
28.7
246.8
10.6
14.7 I
425.8
28.5
252.8
10.8
14.8
427.2
28.4
252.9
10.9
14.9
123.4
28.5
6.0
20.7
112.6
17.7
5.5
21.6
108.2
13.1
5.7
21.5
245.2
24.4
13.9
56.0
11.1
245.2
23.3
14.2
54.1
10.7 I
244.4
23.4
14.2
54.1
10.7
438.3
30.8
28.7 i
9.4 !
146.5
10.2
173.1
24.0
435.8
31.1
27.9
10.1
146.1
10.5
169.9
25.3
435.1
31.4
27.8
10.1
146.1
10.4
170.4
25.3
(2)
262.4
<o>
O
(2)
2
91.5
( 133.7
)
|
17.3 |
(2)
266.5
O
<o>
(2)
263.1
O
O
(2)
37.3
O
(2)
(2)
9.7
120.1
<o>
(2)91.2
(2134.8
)
( 134.1
)
<!>
(2)40.4
(2)58.1
18.0
18.0
8.4
2
See footnotes at end of table.
(2)14.1
<2)5.0
(22)
( )23.0
123
91.5
34.6
O
(2)
(2)
35.0
<o>
2
9.5
120.4
O
<o>
( ) 9.5
(2)
120.4
<o>
O
(2)
(2)41.2
(2)58.8
(2)58.7
8.6
8.7
41.4
!
I
!
|
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Natural resources and mining
Total
State and area
Dec.
2004
Nov.
2005
Dec.
2005P
Montana
Billings
Great Falls
Missoula
419.5
75.5
34.7
55.1
427.8
77.0
35.8
55.8
427.7
76.8
35.7
55.7
Nebraska
Lincoln
Omaha-Council Bluffs
933.8
170.0
452.8
948.2
172.7
460.3
945.7
171.3
459.4
1,192.0
32.4
841.5
1,258.0
Nevada
Carson City
Las Vegas-Paradise
Reno-Sparks
Dec.
2004
7.8
(2)
(
(
10.1
33.1
899.2
222.4
900.7
222.9
638.6
101.3
54.2
56.1
643.5
102.4
56.0
57.2
648.4
103.1
55.9
57.4
New Jersey
Atlantic City
4,067.8
150.4
Ocean City
39.6
234.2
63.2
4,097.3
154.5
42.3
238.3
64.1
4,105.0
153.7
42.1
239.4
803.7
377.5
48.5
817.3
381.9
50.8
821.2
384.0
63.9
61.1
66.4
62.7
50.6
66.3
62.6
New York
Albany-Schenectady-Troy
Binghamton
Buffalo-Niagara Falls
Elmira
Glens Falls
Ithaca
Kingston
New York-Northern New Jersey-Long Island
Poughkeepsie-Newburgh-Middletown
Rochester
Syracuse
Utica-Rome
8,604.6
8,647.8
8,667.5
453.1
113.1
455.9
456.4
(
113.9
555.4
40.0
53.6
113.3
555.2
40.2
53.3
63.8
(
(
North Carolina
Asheville
Burlington
Chariotte-Gastonia-Concord...;
Durham
Fayetteville
Goldsboro
Greensboro-High Point
Greenville
Hickory-Lenoir-Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
3,881.3
165.6
60.9
792.7
268.7
120.2
New Mexico
Albuquerque
Farmington
Las Cruces
Santa Fe
North Dakota
Bismarck
Fargo
Grand Forks
Ohio
Akron
Canton-Massillon
Cincinnati-Middletown
Cleveland-Elyria-Mentor
Columbus
Dayton
Lima
Mansfield
Sandusky
Springfield
Toledo
Weirton-Steubenville
Youngstown-Warren-Boardman
64.2
66.7
67.0
8,504.9
3,934.3
168.8
71.3
167.7
41.3
449.2
62.6
128.0
213.4
3,937.0
169.3
60.7
814.1
271.5
120.7
43.5
365.2
73.1
168.1
43.0
464.2
62.2
131.2
217.2
340.5
55.8
111.8
52.6
348.8
57.5
114.9
53.5
347.4
57.4
114.3
53.2
5,472.0
333.2
179.1
1,029.4
1,084.8
5,482.0
334.8
180.2
1,039.9
1,084.5
929.9
412.5
58.0
5,473.8
334.0
180.0
1,040.9
1,083.6
929.3
411.4
57.8
59.7
38.0
52.4
333.6
47.6
242.6
510.3
324.2
134.4
921.4
416.5
57.8
59.8
38.3
52.3
332.4
48.7
243.0
59.7
39.2
52.4
334.1
48.0
243.5
259.2
505.3
327.8
135.0
60.4
817.8
271.9
121.3
43.3
365.1
73.0
168.0
43.0
464.9
62.3
131.3
218.0
See footnotes at end of table.
(z)
124
(2)
O
(2)
(
>
>
(1)
(
(
(
( )
5.7
V
1
( )
6.5
(])
( >
}
>
>
<( >
( >
( >
( >
( 1>)
<!>
(1)
(])
O)
(
(
1>
( )
6.4
>
>
<( >
( >
>
<( >
( >
( >
( >
( >
( •>
( >
>
(1)
(
(
(
(
(
(
(
(
(
(
(
(
(
>
>
>
>
>
>
>
>
>
>
>
>
( 1>)
(
(
(
>
>
( 1>)
(
(
(
>
>
>
(
(
(
(
(
(
(
>
>
>
>
>
>
>}
(
< >.
11.7
(
!>
(
>
(
( >
(
V
( >
}
(
(
(
(
(
(
>
>
>
>
>
(1>
>
(
(
170.5
6.4
170.7
6.3
2
( )
5.8
3.1
6.2
3.0
51.2
26.3
55.2
28.5
8.8
4.0
4.3
9.4
4.2
4.5
320.2
17.8
3.8
20.0
1.1
2.4
1.1
334.5
19.1
4.2
22.0
220.0
10.2
3.8
51.1
9.2
4.9
2.1
19.3
3.5
4.8
2.8
33.3
3.9
10.5
9.8
1.3
2.8
1.2
3.1
344.0
11.7
18.0
13.6
3.6
227.7
10.5
4.0
51.6
9.3
4.8
2.1
19.0
3.5
4.8
2.8
34.3
3.8
10.4
10.7
15.5
3.0
6.0
2.7
18.4
3.3
7.2
3.2
11.8
235.8
243.2
15.3
9.7
56.8
47.7
44.3
15.8
2.5
2.2
1.5
l>
>
>
>
>
>
>
>
>}
>
>
(1)
(
31.8
5.6
1.9
2.2
4.2
( 1>)
(
(
(
(
(
(
(
(
30.1
5.4
1.8
2.2
12.2
3,2
(
(
( )
106.4
23.9
2.9
O
O)
27.6
94.6
20.6
338.1
11.2
16.5
6.3
4.1
( }
11.4
<( >
( >
>
<( >
( >
( >
( >
}
>
>
>
>
(
>
(1)
6.3
3.6
(1 )
( )
>
>}
(
(
(
(
>
( }
(
5.9
(
(
.6
(
11)
( }
1>
(
(
17.1
(
>
( )
( )
( )
( )
1>
16.9
(
(
1
2140.5
2
(2)
1>
( )
( >}
1.5
<1>
(2)
11)
2125.1
( )
<1>
(2)
49.6
8.3
1.0
1.5
15.5
(
(z)
27.9
46.4
8.4
25.2
(< >
1>
1.6
>
10.8
1.1
(
(
>
>
(1)
(2)
( )
10.7
Nov.
2005
25.2
1
1.0
(<
63.7
8,471.2
258.9
508.8
327.6
134.4
44.0
359.9
:...
'.
555.9
40.3
52.3
63.1
65.9
8,440.6
255.5
1>
Dec.
2004
8.1
(2)
(>
( )
215.8
Trenton-Ewing
Vineland-Millville-Bridgeton
1>
Construction
Dec.
2005P
8.1
<2)
1,260.9
33.2
New Hampshire
Manchester
Portsmouth
Rochester-Dover
Nov.
2005
14.2
9.7
52.5
45.8
41.0
15.7
2.5
2.1
1.5
1.9
15.9
2.1
10.9
1.9
16.6
2.2
11.1
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
IManufacturing
State and area
I
19.3
Montana
Billings
Great Falls
Missoula
<!>
(22)
<)
Nebraska
Lincoln
Omaha-Council Bluffs
Nevada
Carson City
Las Vegas-Paradise
Reno-Sparks
New Hampshire
Manchester
Portsmouth
Rochester-Dover
Dec.
2005P
19.2
19.4
<2!>
(2)
()
<
f>
(2)
(2)
Dec.
2004
Nov.
2005
87.9
19.4
7.8
12.7
88.5
19.6
7.9
12.6
89.3
19.6
8.0
12.7
.8
21.7
4.4
13.1
(2)
(2)
7.8
.8
21.8
4.1
13.3
46.8
3.2
24.0
14.2
48.2
3.1
25.2
14.3
48.1
3.2
25.4
14.3
216.0
4.4
148.9
45.6
220.6
4.7
153.0
46.4
223.5
4.7
154.9
46.7
(2)10.1
3.1
2.8
2.8
81.3
9.6
4.0
6.5
81.5
9.7
4.0
6.5
82.0
9.7
4.0
6.6
146.6
21.7
11.4
11.6
147.4
21.8
11.6
11.7
150.1
22.3
11.7
11.8
12.9
3.3
1.7
1.3
13.2
3.4
1.8
1.4
13.2
3.5
1.8
1.4
324.2
4.5
906.5
23.0
7.6
34.0
13.1
907.0
23.1
8.2
33.5
14.0
918.7
23.8
8.2
34.2
14.0
142.6
69.1
10.9
10.2
10.6
144.3
70.1
11.0
10.2
10.6
(2) 1.1
(2) 1.3
(2) 1.3
.9
1.0
1.0
1,552.4
83.1
21.9
106.2
8.1
10.1
6.8
13.6
1,650.9
59.0
84.9
67.7
23.8
274.2
10.8
2.1
9.8
.7
1.1
.6
1.8
292.5
4.8
12.4
7.1
3.4
272.4
11.4
2.2
9.6
.6
1.1
.6
1.8
291.7
4.8
12.5
6.9
3.5
273.9
11.2
2.1
9.7
.7
1.1
.6
1.8
294.1
4.8
12.4
7.0
3.6
739.8
29.7
10.4
177.4
34.2
23.3
8.9
74.3
11.9
30.0
8.5
85.1 I
12.9
28.2
42.2
70.3
1.9
.4
23.6
3.5
2.1
.3
6.4
1.0
1.0
.9
16.8
1.2
1.6
2.0
72.3
1.9
.4
24.5
3.2
2.3
.3
6.2
1.0
1.1
.9
17.2
1.4
1.6
2.1
72.0
1.9
.4
24.7
3.2
2.3
.2
6.3
1.0
1.1
.9
17.3
1.4
1.6
2.0
75.6
12.5
7.8
1.5
3.2
.7
7.6
1.5
3.2
.7
7.8
1.5
3.2
.7
92.6
4.7
2.3
16.4
20.1
19.8
11.1 ,
91.3
5.1
2.2
16.6
20.0
19.6
10.7
91.2
5.1
' 2.2
16.4
19.9
19.5
10.6
338.3
4.4
2
326.2
4.4
2
2
( ) 8.9
( ) 8.7
( ) 8.7
9.9
10.1
10.0
35.9
22.7
36.5
22.7
36.3
22.8
1.2
1.2
1.2
New York
Albany-Schenectady-Troy
Binghamton
Buffalo-Niagara Falls
Elmira
Glens Falls
Ithaca
Kingston
New York-Northern New Jersey-Long Island
Poughkeepsie-Newpurgh-Middletown
Rochester
Syracuse
Utica-Rome
591.8
23.1
17.3
66.3
6.5
7.1
3.9
4.7
495.5
23.7
76.4
33.1
14.3
577.9
22.9
17.3
65.3
5.8
6.7
3.9
4.3
483.5
23.6
73.1
33.1
13.2
575.1
22.7
17.4
64.9
5.8
6.7
3.9
4.4
482.2
23.5
72.3
33.1
13.3
1,550.2
83.2
22.0
106.3
8.1
9.7
6.6
13.2
1,649.9
58.0
87.3
66.9
23.6
1,530.2
81.9
21.8
105.0
8.0
9.9
6.8
13.3
1,626.2
57.9
84.9
67.1
23.6
North Carolina
Asheville
Burlington
Charlotte-Gastonia-Concord
Durham
Fayetteville
Goldsboro
Greensboro-High Point
Greenville
Hickory-Lenoir-Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
581.8
22.9
13.5
86.5
40.5
11.3
6.7
66.8
7.2
56.5
.9
30.5
12.3
8.1
32.6
570.3
22.6
12.8
86.6
40.4
9.8
6.5
66.4
7.0
54.0
.9
30.2
12.3
7.9
32.9
568.8
22.6
12.8
86.7
40.4
9.8
6.5
66.5
7.0
54.0
.9
30.0
12.1
7.9
33.0
741.0
30.9
10.4
170.7
33.9
23.3
8.9
73.4
11.6
29.8
8.2
84.7
13.0
27.1
41.8
736.7
29.6
10.3
175.9
33.8
23.1
8.8
74.0
11.9
29.7
8.4
84.8
12.8
27.9
41.9
24.7
2.9
9.0
3.6
25.5
3.0
9.4
3.9
25.2
2.9
9.3
3.9
74.1
11.8
26.3
11.3
830.8
49.1
32.6
128.4
154.4
81.7
58.7
10.9
13.7
7.2
7.7
50.2
9.3
41.0
824.3
49.0
32.1
128.6
155.1
81.9
56.0
10.6
13.1
6.5
7.8
48.8
8.1
40.1
j
825.7
48.7
32.2
I
129.1
|
I
!
!
I
I
155.7
81.5
55.7
10.7
13.2
6.5
7.8
49.1
8.2
40.1
1,073.9
67.5 |
34.7
213.4
205.5
190.7
72.9
11.6
11.1
7.4
11.0 I
66.3 I
8.3
52.1
See footnotes at end of table.
7.9
205.1
29.9
103.3
(2)3.9
Ohio
Akron
Canton-Massillon
Cincinnati-Middietown
Cleveland-Elyria-Mentor
Columbus
Dayton
Lima
*
Mansfield
Sandusky
Springfield
Toledo
Weirton-Steubenville
Youngstown-Warren-Boardman
•7
(2)
(2)
203.3
29.8
102.2
(2) 3.9
Fargo
Grand Forks
7.7
203.4
29.4
103.3
(2)4.0
Bismarck
(2)
(2)
Dec.
2005P
101.1
14.9
33.6
141.8
68.7
10.7
9.7
10.6
North Dakota
Nov.
2005
Dec.
2004
100.6
14.9
33.4
,
New Mexico
Albuquerque
Farmington
Las Cruces
Santa Fe
Dec.
2005P
100.9
15.3
33.4
,
New Jersey
Atlantic City
Ocean City
Trenton-Ewing
Vineland-Millville-Bridgeton
Information
Trade, transportation, and utilities
Nov.
2005
Dec.
2004
125
75.0
12.5
26.2 I
11.4 !
1,053.3 I
67.1
34.4
208.8
201.0
187.9
71.3
11.5
10.2
7.1
10.9
67.0
8.3
51.4
26.6
11.4
1,063.1
67.4
34.5
210.5
203.0
190.0
71.7
11.4
10.3
7.1
10.9
67.4
8.3
51.7
14.6
2
97.4
1.1
14.4
( 2 )10.2 '
2
96.1
1.1
21.8
4.4
13.0
14.4
(2)10.1
2
95.8
1.1
( )5.6
( ) 5.9
( )5.6
1.0
1.0
1.0
14.0
8.9
14.9
8.7
15.0
8.9
(22)
(22)
(22)
(2)
(2) ! ( 2 )
()
(2)
()
(2)4.6
( )4.6
(2)4.8
(2)2.9 I <2>3.1 I < 2 >3.2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry-—Continued
(In thousands)
Professional and business services
Financial activities
State and area
Dec.
2004
21.2
Montana
Billings
Great Falls
Missoula
<!>
(22)
()
Nebraska
Nov.
2005
21.2
(22)
(2)
()
Omaha-Council Bluffs
63.1
Nevada
Carson City
Las Vegas-Paradise
Reno-Sparks
34.8
34.1
9.4
2.4
5.1
9.0
2.4
4.9
64.9
12.7
36.7
95.5
17.5
61.5
99.1
17.9
64.2
98.9
17.7
63.8
67.8
137.3
149.9
148.5
2.3
2.8
2.7
97.1
26.4
108.1
28.6
106.1
29.4
56.6
12.2
56.5
11.6
8.0
3.8
8.1
3.8
10.9
11.0
11.0
38.3
38.6
38.9
8.8
4.8
2.6
8.8
4.9
2.9
8.8
4.9
2.9
4.4
( )15.9
282.9
4.6
2
( )15.8
Dec.
2005P
8.5
2.3
4.6
(2)51.7
281.1
Nov.
2005
32.7
(2)51.2
2
New Mexico
Albuquerque
Farmington
Las Cruces
Santa Fe
21.3
(2)47.2
New Hampshire
Manchester
Portsmouth
Rochester-Dover
New Jersey
Atlantic City
Ocean City
Trenton-Ewing
Vineland-MilMHe-Bridgeton
67.3
Dec.
2004
(2)
(22)
()
64.9
12.8
37.0
63.3
11.7
37.0
Lincoln
Dec.
2005P
283.9
4.5
2
( )15.8
585.1
9.9
2
( )34.1
591.6
10.3
2
( )34.5
57.0
11.6
6.2
8.2
6.4
8.3
6.0
8.4
128.9
23.8
62.7
129.8
24.1
64.1
129.8
24.1
64.1
82.3
87.0
87.5
20.0
19.9
56.6
11.6
96.6
16.4
98.8
16.7
99.0
16.6
8.1
3.8
5.6
7.4
5.7
7.6
5.7
7.6
589.3
10.3
556.9
17.5
568.2
17.9
569.8
18.0
( )34.7
4.6
4.7
4.7
43.4
43.0
43.1
2
2.0
2.0
2.0
3.5
3.7
3.6
9.2
9.3
9.2
35.4
19.7
35.6
19.8
92.3
60.4
93.5
60.6
93.9
60.8
105.2
46.4
107.1
47.4
107.4
47.5
5.2
5.6
5.5
9.2
8.5
5.6
9.6
8.7
5.5
9.6
8.6
1,557.0
80.6
15.1
86.2
1,585.0
81.6
15.1
86.3
1,585.4
81.0
15.1
86.7
2.4
2.9
(2)
2.5
2.9
(2)
2.5
2.9
(2)
5.0
5.4
(2)
5.2
5.6
(2)
719.6
26.8
1,069.4
51.6
1,090.5
52.7
1,092.5
53.1
4.6
4.6
9.7
9.8
9.8
35.4
36.1
36.2
64.4
65.7
65.1
1.6
2.1
1.7
2.6
1.6
2.1
1.6
2.6
1.6
2.1
1.6
2.6
2.1
3.6
2.9
4.2
2.4
4.1
2.8
4.3
2.4
4.1
2.9
4.3
778.7
10.4
21.8
17.7
787.1
10.4
20.9
17.9
789.8
10.5
21.1
18.0
1,239.2
20.5
56.9
34.4
1,246.9
20.9
57.6
35.8
1,249.4
20.9
57.6
35.7
7.9
8.0
8.0
9.9
9.5
North Carolina
Asheville
Burlington
Charlotte-Gastonia-Concord
Durham
Fayetteville
Goldsboro
Greensboro-High Point
Greenville
Hickory-Lenoir-Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
192.8
195.4
196.0
5.5
2.4
5.7
2.4
5.7
2.4
436.0
14.3
454.8
14.8
69.5
11.0
70.4
11.2
70.6
11.0
8.3
8.0
8.3
8.0
8.3
8.2
9.6
32.4
10.5
1,386.2
46.5
100.8
55.2
24.5
33.1
10.6
1,416.5
47.9
103.1
56.3
25.0
32.9
10.6
1,418.8
47.8
103.2
56.0
25.2
453.7
14.7
457.8
26.6
467.9
27.6
468.8
27.6
8.1
8.7
8.3
7.9
8.3
8.3
116.5
32.8
11.3
119.5
32.6
11.7
119.9
32.5
11.7
66.9
46.9
11.8
68.0
48.3
12.2
68.4
48.4
12.2
4.1
1.5
4.1
1.4
4.1
1.5
2.4
2.6
2.4
5.2
5.3
5.3
19.8
19.6
19.6
43.9
46.2
45.8
42.9
44.8
45.0
2.5
3.7
1.4
2.5
3.8
1.4
2.5
3.8
1.4
6.4
7.3
7.2
8.3
8.6
8.6
12.6
3.9
4.3
4.1
3.6
3.7
3.7
24.1
24.9
25.0
70.6
74.1
73.8
41.6
42.6
2.9
6.2
3.1
6.3
3.1
6.3
4.3
4.3
4.4
6.5
12.6
12.9
12.9
13.0
23.0
13.9
24.4
14.0
24.4
13.4
39.6
14.2
40.9
42.6
6.7
14.2
41.0
18.8
19.0
19.1
23.8
24.8
24.7
48.9
49.7
49.8
3.0
8.1
1.6
3.1
8.5
1.6
3.1
8.4
1.6
4.7
4.8
4.9
9.5
9.8
9.8
10.2
10.8
10.6
15.7
15.7
15.7
3.1
3.2
3.2
8.3
8.4
8.4
313.8
14.7
314.0
14.7
314.4
14.7
7.9
8.0
8.0
64.9
81.6
74.5
18.6
64.7
81.8
74.3
18.1
65.0
81.7
74.0
18.0
631.3
44.7
14.9
144.6
132.5
133.5
53.0
649.0
45.5
15.9
149.0
134.0
136.1
53.1
4.7
4.7
1.7
2.8
5.1
4.7
1.8
2.9
5.1
4.7
1.8
2.8
35.0
35.8
36.0
(2) 1.7
(2) 2.9
13.3
(2)10.1
(2) 1.7
(2) 2.9
13.5
(2)10.1
(2) 1.7
(2) 2.9
13.4
(2)10.1
See footnotes at end of table.
56.9
11.6
19.8
716.8
26.9
.'.
55.3
11.2
(2)59.7
4.7
Cincinnati-Middletown
Dec.
2005P
(2)59.4
708.4
26.4
Cleveland-Elyria-Mentor
Columbus
Dayton
Lima
Mansfield
Sandusky
Springfield
Toledo
Weirton-Steubenville
Youngstown-Warren-Boardman
Nov.
2005
(2)55.6
New York
,
Albany-Schenectady-Troy
Binghamton
Buffalo-Niagara Falls
Elmira
Glens Falls
Ithaca
Kingston
New York-Northern New Jersey-Long Island
Poughkeepsie-Newburgh-Middletown
Rochester
Syracuse
Utica-Rome
Ohio
Akron
Canton-Massillon
Dec.
2004
35.0
19.5
(2)
North Dakota
Bismarck
Fargo
Grand Forks
Education and health services
126
12.6
12.6
642.9
45.4 i
15.8
148.0 I
132.4 !
136.8
53.3
16.5
759.2
43.5
28.9
130.9
168.4
101.4
63.8
10.0
7.9
4.5
10.3
47.1
17.6
6.7 I
766.7
43.7 I
28.4 ;
135.0
169.9
103.7
64.6
10.1
17.6
764.8
43.8
28.2
135.0
170.2
103.3
64.4
10.1
8.0
8.0
4.6 !
10.4 |
47.2 |
4.6
10.4
47.2
3.0
3.0
3.0
9.9
9.6
9.3
17.7
18.9
18.5
41.1
41.3
41.2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(in thousands)
Leisure and hospitality
State and area
Dec.
2004
Nov.
2005
Dec.
2004
55.7
9.7
5.4
6.5
55.5
9.8
5.1
6.8
57.3
9.8
5.4
6.6
Nebraska
Lincoln
Omaha-Council Bluffs
77.0
15.5
40.8
79.0
15.9
40.5
78.1
15.6
40.8
314.8
3.9
251.1
38.4
330.8
4,1
267.1
38.1
330.7
4.1
266.9
37.9
61.1
8.2
5.5
5.0
62.4
8.9
6.3
5.2
64.2
9.1
6.3
5.2
321.5
56.5
8.2
14.4
3.6
337.4
59.7
8,7
15.5
3.4
337.2
58.1
8.4
15.5
3.4
( )
81.4
35.6
4.9
6.2
8.9
81.5
36.1
5.2
6.5
8.9
82.1
36.0
5.1
6.6
9.1
2
661.8
30.7
9.0
47.0
3.1
5.5
3.8
6.9
612.5
19.2
37.5
26.3
8.8
670.8
30.6
9.1
46.7
31
62
39
7.3
626.3
19.8
375
27.0
9.0
671.8
30.9
9.1
46.5
3.2
6.0
3.8
7.1
628.4
19.5
37.0
26.9
8.9
356.0
18.7
4.4
23.3
1.6
2.1
1.2
2.9
351.2
9.6
18.8
12.8
5.1
337.8
20.0
5.5
68.3
18.8
12.2
3.5
28.7
7.6
.11.8
5.4
38.6
4.5
17.1
19.1
349.8
22.2
5.1
71.6
19.6
12.7
3.6
29.4
7,4
12,5
5.7
39.2
4.5
17.4
19.7
345.0
21.9
5.2
71.9
19.5
12.7
3.6
29.4
7.4
12.3
5.7
39.3
4.6
17.2
20.0
30.6
4.8
11.3
5.5
31.9
5.0
11.7
5.5
482.0
29.0
17.5
99.4
91.3
86.3
39.2
4.9
5.0
5.5
5.1
32.2
4.9
23.6
487.4
29.3
18.0
99.9
92.1
88.9
38.9
4.9
5.0
7.1
5.0
32.7
4.9
23.4
New Hampshire
Manchester
Portsmouth
Rochester-Dover
New Jersey
Atlantic Crty
Ocean City
Trenton-Ewing
Vineland-Millville-Bridgeton
New Mexico
Albuquerque
Farmington
Las Cruces
Santa Fe
New York
Albany-Schenectady-Troy
Binghamton
Buffalo-Niagara Falls
Elmira
Glens Falls
Ithaca
Kingston
New York-Northern New Jersey-Long Island
Poughkeepsie-Newburgh-Middletown
Rochester
Syracuse
Utica-Rome
,
North Carolina
Asheville
Burlington
Charlotte-Gastonia-Concord
Durham
Fayetteville
Goldsboro
Greensboro-High Point
Greenville
Hickory-Lenoir-Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
North Dakota
Bismarck
Fargo
Grand Forks
Ohio
Akron
Canton-Massillon
Cincinnati-Middletown
Cleveland-Elyria-Mentor
Columbus
Dayton
Lima
Mansfield
Sandusky
Springfield
Toledo
Weirton-Steubenville
Youngstown-Warren-Boardman
See footnotes at end of table.
127
Nov.
2005
17.8
Montana
Billings
Great Falls
Missoula
Nevada
Carson City
Las Vegas-Paradise
Reno-Sparks
Government
Other services
Dec.
2005P
Dec.
2005P
17.4
17.2
Dec.
2004
Nov.
2005
Dec.
2005P
88.9
9.8
5.5
10.4
90.6
9.5
5.8
11.1
89.5
9.6
5.7
10.6
35.4
6.7
16.7
162.0
37.4
59,5
165.0
37.7
61.6
164.1
37.5
61.2
39.7
26.9
8.1
144.4
10.9
87.4
28.5
149.0
11.0
91.4
28.7
149.6
11.0
91.8
29.0
19.3
4.3
1.6
1.9
93.9
11.5
9.8
13.8
92.8
11.6
10.1
14.0
92.9
11.7
10.0
14.0
161.4
4.2
652.7
23.0
9.4
64.0
15.8
655.0
22.8
9.9
67.5
15.5
654.5
23.0
9.8
67.7
15.5
1.5
2.7
202.7
77.1
11.2
20.9
15.6
204.7
77.3
11.6
21.5
16.5
205.4
77.7
11.5
21.3
16.5
358.1
18.6
4.5
23.8
1.7
2.0
1.3
3.0
353.8
9.6
18.5
12.9
5.1
359.0
18.7
4.5
23.9
1.7
2.0
1.2
3.0
354.8
9.6
18.4
12.9
5.1
1,509.9
110.2
25.0
97.2
7.2
10.7
8.9
16.2
1,296.3
51.6
81.3
58.5
33.7
1,505.1
110.2
25.3
94.9
7.2
10.7
9.0
16.4
1,295.2
52.3
82.1
57.0
33.9
1,508.5
111.1
25.1
95.0
7.2
10.4
8.9
16.5
1,298.0
52.0
81.2
57.7
34.2
168.5
7.3
1.6
35.2
18.5
4.0
1.9
15.8
2.2
5.9
1.7
22.6
2.4
6.0
8.7
173.8
7.5
1.6
36.2
18.4
4.0
1.9
16.3
2.3
5.8
1.7
23.1
2.3
6.1
8.8
174.8
7.5
1.6
36.3
18.5
4.1
1.9
16.2
2.3
5.9
1.8
23.3
2.3
6.1
8.8
668.9
26.0
7.3
104.4
53.6
35.2
11.5
42.9
21.0
25.1
12.5
86.4
11.6
25.0
24.2
682.0
26.9
7.1
109.8
54.7
36.0
11.0
43.3
21:6
26.2
13.2
93.8
11.0
25.5
22.9
681.9
26.7
7.1
110.1
54.9
36.3
11.0
43.0
21.7
25.9
13.2
94.0
31.7
5.0
11.6
5.5
15.1
2.9
5.0
1.9
15.1
2.9
4.9
1.8
15.1
2.9
4.9
1.8
77.6
11.7
17.0
13.9
77.7
11.6
17.3
13.8
77.7
11.6
17.3
13.9
485.0
29.3
18.4
100.8
92.2
87.5
38.7
4.9
5.3
6.2
5.1
32.2
4.8
23.5
226.7
13.3
8.8
42.0
43.4
38.1
17.3
2
227.6
13.8
9.0
42.5
43.4
38.1
18.2
2
228.2
13.8
9.1
43.0
43.5
38.2
18.1
2
814.5
52.5
21.8
136.9
141.8
154.4
66.2
7.0
9.2
5.6
7.9
52.1
6.4
33.3
813.5
51.3
22.5
138.0
139.5
155.1
65.8
7.1
9.0
5.7
7.7
51.8
6.7
33.5
811.2
51.0
22.5
137.4
139.5
155.3
65.3
7.1
9.1
5.5
7.6
51.4
6.7
33.4
<*>
<!>
(2)
(2)
34.6
6.9
16.1
37.5
(2)
25.1
7.9
35.2
6.9
16.6
39.6
(2)
26.8
8.1
156.2
4.2
7.8
2.0
28.7
11.9
( )
( )
2
1.4
2.8
2.6
(2)
19.4
4.3
1.6
1.9
20.2
4.2
1.6
1.9
2
O
O
(2)
O
<o>
160.7
4.3
2
( )
2
8.0
2.1
29.0
11.8
( )
( )
2.7
( )
2
( )
( )
()
(2)
2
2
2
()
10.3
2.8
16.1
( )
10.6
8.0
2.1
29.1
11.8
( )
2.7
15.5
2
1.5
2.8
2
2.8
2.9
16.2
( )
10.6
n;o
25.4
22.9
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Total
State and area
!
Oklahoma
Lawton
Oklahoma Cfty
Tulsa
Oregon
;
Bend
Corvallls
Eugene-Springfield
Medford
Portland-Vancouver-Beaverton
Salem
Pennsylvania
Allentown-Bethlehem-Easton
Altoona
Erie
;
Harrisburg-Carlisle
Johnstown
Lancaster
Lebanon
Philadelphia-Camden-Wilmington
Pittsburgh
Reading
Scranton—Wilkes-Barre
State College
.....
Williamsport
York-Hanover
Rhode Island
Providence-Fall River-Warwick
South Carolina
Anderson
Charleston-North Charleston
Columbia
Florence
Greenville
Myrtle Beach-Conway-North Myrtle Beach
Spartanburg
Sumter
South Dakota
Rapid City
Sioux Falls
Tennessee
Chattanooga
Clarksville
Cleveland
Jackson
Johnson City
Kingsport-Bristol-Bristol
Knoxville
Memphis
Morristown
Nashville-Davidson—Murfreesboro
Texas
Abilene
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Harlingen
College Station-Bryan
Corpus Chiisti
Dallas-Fort Worth-Arlington
El Paso
Houston-Baytown-Sugar Land
Killeen-Temple-Fort Hood
Laredo
Longview
Lubbock
McAllen-Edinburg-Pharr
Midland
Odessa
San Angelo
San Antonio
Sherman-Denison
Texarkana
Tyler
Victoria
Waco
Wichita Falls
.....
Nov.
2005
Nov.
2005
1,493.3
41.3
552.1
402.2
1,518.3
41.8
559.0
410.3
1,515.4
41.7
559.7
411.3
1,628.4
59.9
37.9
147.8
80.8
964.9
143.5
1,685.1
62.8
37.8
149.3
83.2
990.8
145.0
1,685.5
62.8
38.4
150.4
83.8
991.4
144.9
5,715.0
332.2
63.1
133.0
326.6
60.2
234.3
48.0
2,792.8
1,144.5
170.2
259.7
72.7
54.8
175.9
5,789.4
337.8
62.3
133.7
329.0
60.9
236.1
48.1
2,812.5
1,148.3
171.9
261.1
75.6
55.1
177.9
5,779.3
337.7
62.4
133.3
329.7
60.8
235.8
48.0
2,821.0
1,145.3
172.5
260.7
73.6
54.7
178.4
496.1
590.1
502.2
596.3
499.9
593.0
.2
.3
.2
.3
.2
.3
1,836.5
64.0
276.2
348.1
89.7
295.5
112.6
122.4
39.6
1,852.8
63.4
283.5
351.0
89.7
297.3
116.4
124.1
39.7
1,854.6
63.4
284.0
352.3
89.8
297.3
115.9
123.9
39.8
4.3
3.8
384.6
58.8
125.1
393.5
59.3
127.6
391.6
59.0
127.8
.8
2,742.2
241.9
81.8
41.2
60.9
81.2
121.7
327.8
624.2
• 51.1
727.7
2,753.3
243.8
83.6
41.1
61.3
82.2
122.3
332.2
637.5
52.2
736.1
2,758.1
244.3
83.8
41.5
61.4
82.4
122.1
331.7
637.4
52.5
737.7
9,585.9
64.4
108.5
675.3
156.8
117.9
88.8
168.1
2,734.9
258.6
2,315.3
114.1
79.2
87.6
127.0
191.1
57.3
52.4
43.8
768.9
44.4
55.0
89.1
47.5
103.7
61.1
9,725.8
66.5
109.9
690.9
152.4
121.1
90.5
167.6
2,763.9
270.0
2,349.3
116.4
81.7
89.7
128.1
197.8
57.6
53.2
45.5
779.8
45.6
55.8
90.7
48.7
104.7
62.3
9,739.3
66.3
109.9
689.5
153.1
121.9
89.8
168.3
2,771.5
269.7
2,357.8
116.7
82.1
89.8
127.8
199.4
57.4
53.1
45.5
780.9
45.5
55.7
90.7
48.7
104.6
62.3
Dec.
2005P
See footnotes at end of table.
Construction
Natural resources and mining
Dec.
2004
128
Dec.
2004
31.6
<!>
(1) 4.7
32.4
O
<>
9.7
(11)
( ) 1.0
18.4
4.5
O
(1)
.9
.6
2.0
1.3
18.6
(1)
<
?>
(11)
()
<
?>
(1)
o
o
o
<
?>
()
4.5
8.4
O
(1)
.8
.6
1.9
1.3
18.4
I
2004
;
Nov.
2005
63.3 |
1.4
25.3 ;
20.1
62.0
1.3
25.2
20.2
83.3
5.9
1.3
6.8
4.6
53.6
7.2
96.5
6.8
1.4
7.2
5.1
60.2
7.4
95.0
6.7
1.4
7.0
5.0
59.4
7.5
O
O
O
(1)
249.7
16.1
260.9
16.5
2
2
( ) 4.7
4.8
11.9
>
<>
<>
Dec.
2005P
62.0
1.3
23.6
18.6
( • « )
(11)
()
(21)
(2 )
(( )
o
o
()
Dec.
244.3
15.8
O
<<>
<?>
<>
O
<>
O
<>
< )
32.6
O
0)
9.1
.7
1.9
1.4
(1)
(21>
(1)
()
<12)
()
<2)
Dec.
2005P
( ) 4.4
12.2
12.6
(2)16.7
(2124.8
)
(2)17.4
(2128.8
)
(2)17.3
(2126.2
)
56.8
8.3
10.0
58.6
8.9
10.9
54.3
8.6
10.2
<!>
(2)11.2
O
(2)
<o>
2
11.8
( )11.5
21.1
25.9
22.3
27.6
21.6
26.7
3.8
110.2
3.3
20.8
19.8
4.3
16.8
9.6
7.1
2.7
113.7
3.4
21.0
20.0
4.4
17.7
9.9
7.2
2.8
114.5
3.4
20.9
20.0
4.4
17.6
10.0
7.3
2.8
.9
.8
18.9
4.6
6.5
21.7
5.1
7.6
20.3
4.8
7.2
4.2
4.1
4.2
118.8
9.5
2.7
1.7
3.5
3.9
6.7
17.0
26.7
1.9
34.5
121.1
9.8
2.9
1.7
3.6
4.4
6.7
17.4
27.1
2.0
35.1
121.1
9.7
2;9
1.7
3.6
4.4
6.7
17.0
26.6
2.0
35.2
154.4
157.9
158.6
538.2
4.2
7.2
38.4
13.8
4.5
5.8
16.6
157.0
11.6
230.3
5.8
4.0
10.1
5.2
10.8
10.5
7.1
2.8
44.2
2.9
2.4
4.8
6.1
5.5
3.1
556.0
4.8
7.7
39.3
12.9
4.7
6.5
16.7
160.8
12.3
243.1
6.0
!
|
[
4.5 t
10.7 |
5.8 i
10.5 1
10.6 1
555.4
4.8
7.7
39.3
12.9
4.7
6.5
16.8
161.0
12.3
242.8
6.0
4.4
10.8
5.8
10.5
10.6
7.3 I
7.2
3.2
45.5
3.3
2.8 |
5.3 I
6.7 i
6.2
3.6
3.2
45.6
3.2
2.8
1
1
I
i
!
I
I
I
I
{
!
5.3
6.7
6.2
3.6
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Manufacturing
State and area
Dec.
2004
Nov.
2005
Information
Trade, transportation, and utilities
Dec.
2004
Dec.
2005P
Nov.
2005
Dec.
j
2005P J
Dec.
2004
Nov.
2005
Dec.
2005P
Oklahoma
Lawton
Oklahoma City
Tulsa
142.4
3.9
39.3
46.6
143.1
3.9 !
37.3 |
46.9
144.0
3.9
37.5
46.8
282.0
7.1
99.4
83.4
284.4
7.2
99.7
84.2
285.4
7.2
100.9
84.8
30.9
.5
13.1
11.5 j
31.1
.5
13.9
12.1
31.1
.5
13.8
12.1
Oregon
Bend
Corvallis
Eugene-Springfield
Medford
Portland-Vancouver-Beaverton
Salem
200.2
5.8
5.7
19.6
7.2
121.4
13.8
209.2
6.0
4.8
19.7
7.1
123.6
14.2
209.5
6.0
5.5
19.8
7.2
123.7
14.0
334.9
12.2
4.0
27.8
20.3
201.1
24.8
345.4
12.9
4.2
27.5
21.4
204.6
24.5
347.3
13.1
4.2
27.9
21.8
206.4
24.6
33.0 j
1.5
•9 !
3.3
1.8
22.8
1.5
35.5
1.6
.9
3.4
1.9
23.6
1.6
35.8
1.6
.9
3.5
1.9
23.8
1.6
Pennsylvania
Allentown-Bethlehem-Easton
Altoona
Erie
Harrisburg-Cariisle
Johnstown
Lancaster
Lebanon
Philadelphia-Camden-Wilmington
Pittsburgh
Reading
Scranton-—Wilkes-Barre
State College
Williamsport
York-Hanover
691.0
44.9
8.5
24.5
25.2
4.8
45.3
9.3
234.1
103.4
31.9
34.6
4.8
11.9
39.8
675.8
44.0
8.3
24.6
24.5
4.6
44.3
9.2
229.0
99.S
32.1
33.7
4.7
11.8
38.8
675.4
43.7
8.3
24.6
24.6
4.6
44.3
9.2
229.4
99.4
32.2
33.6
4.7
11.8
38.8
1,161.7
69.3
15.6
23.8
72.0
12.3
52.5
11.7
557.0
241.3
34.3
60.0
10.4
11.3
38.5
1,162.4
70.6
15.4
23.2
72.0
12.1
52.3
12.2
554.5
238.7
33.7
59.4
10.6
11.3
38.3
1,174.2
71.6
15.6
23.4
72.9
12.2
53.0
12.2
562.8
240.7
34.3
60.1
10.5
11.4
38.9
57.1
75.7
55.3
72.4
55.1
71.8
82.8
106.3
80.7
103.5
81.4
104.6
268.0
14.1
21.4
30.7
15.0
45.1
4.5
30.1
10.0
262.0
13.7
21.1
30.1
14.7
44.4
4.4
29.9
9.9
261.8
13.7
21.0
30.1
14.8
44.3
4.4
29.9
9.9
360.7
13.2
58.1
66.3
17.5
60.9
23.5
25.5
6.6
364.0
13.3
60.2
66.8
17.7
60.2
24.6
25.9
6.6
368.2
13.4
60.7
67.2
17.9
61.7
24.7
26.0
6.7
39.3
3.9
12.5
40.4
3.9
12.6
40.5
3.9
12.6
78.7
12.9
27.5
80.0
12.8
28.1
80.0
12.8
28.1
6.8
1.1
2.7
6.9
1.1
2.9
6.9
1.1
3.Q
413.7
35.3
15.0
10.1
11.2
11.3
26.0
38.8
51.9
16.0
84.9
411.3
34.6
14.9
9.7
11.3
10.9
25.9
38.2
53.2
16.1
84.0
411.0
34.6
14.8
9.7
11.3
10.9
25.9
38.2
51.5
16.1
84.0
606.0
56.4
14.6
7.6
12.7
13.8
25.2
71.4
174.2
10.1
151.5
608.0
57.5
15.3
7.7
12.8
14.3
25.3
72.1
178.5
10.0
153.2
612.2
57.8
15.4
7.8
12.9
14.4
25.4
72.7
181.0
10.1
154.5
49.8
3.1
1.3
.2
.7
2.4
1.8
6.2
8.8
.7
19.0
47.9
3.1
1.1
.3
.7
2.4
1.7
6.4
8.4
.7
19.2
48.0
3.1
1.2
.3
.7
2.4
1.7
6.4
8.4
.7
19.2
888.1
3.1
11.8
57.0
18.8
7.8
5.8
11.1
294.3
22.6
206.9
8.1
1.7
11.0
5.3
8.3
2.0
3.9
3.8
46.1
6.5
5.3
9.8
5.5
13.4
7.5
892.1
3.2
12.0
57.4
18.2
7.8
6.0
11.6
296.5
22.5
209.0
8.4
1.8
11.5
5.5
8.5
2.1
4.1
3.9
45.7
6.7
5.5
9.5
5.5
13.6
7.7
892.8
3.2
12.0
57.3
18.1
7.7
6.0
11.6
297.5
22.3
208.8
8.4
1.8
11.5
5.5
8.5
2.1
4.1
3.9
45.8
6.7
5.5
9.4
5.4
13.6
7.7
2,004.6
12.5
23.6
120.1
32.0
23.8
12.6
30.7
609.0
57.7
486.8 I
21.4
25.7 !
17.9 I
25.6
40.5
11.1 |
12.4
7.7
141.8
8.6
12.3
19.7
9.9
18.1
11.3
2,024.1
13.0
23.7
122.1
29.7
25.3
12.8
30.4
606.8 I
61.0
492.1
21.3
25.8
17.7
25.4
42.1
10.7
12.0
7.5
143.5
8.6
12.3
19.6
10.2
17.7
11.4
226.8
1.2
2.4
20.5
2.8
1.4
1.1
2.6
92.3
4.8
37.7
1.5
.7
1.9
5.8
2.9
1.8
.6
1.7
21.8
.5
.5
2.0
.7
1.8
1.5
232.4
1.2
2.6
20.8
2.8
1.4 !
1.1 j
2.1
93.2
4.8
37.4
1.6
.7
1.9
6.1
3.2
1.9
.6
1.8
21.3
.6
.5
2.1
.7
1.9
1.6
232.0
1.2
2.5
20.8
2.8
1.4
1.1
2.1
93.2
4.7
37.6
1.6
.7
1.9
6.1
3.3
1.9
.6
1.8
21.2
.6
.5
2.1
.7
1.9
1.6
Rhode Island
Providence-Fall River-Warwick
South Carolina
Anderson
Charleston-North Charleston
Columbia
Florence
Greenville
Myrtle Beach-Conway-North Myrtle Beach
Spartanburg
Sumter
South Dakota
Rapid City
Sioux Falls
Tennessee
Chattanooga
Clarksvilie
Cleveland
Jackson
Johnson City
Kingsport-Bristol-Bristol
Knoxville
Memphis
Morristown
Nashville-Davidson—Murfreesboro
Texas
Abilene
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Harlingen
College Station-Bryan
Corpus Christi
Dallas-Fort Worth-Arlington
El Paso
Houston-Baytown-Sugar Land
Killeen-Temple-Fort Hood
Laredo
Longview
Lubbock
McAllen-Edinburg-Pharr
Midland
Odessa
San Angelo
San Antonio
Sherman-Denison
Texarkana
Tyler
Victoria
Waco
Wichita Falls
,
i
|
i
|
I
See footnotes at end of table.
129
j
[
I
|
I
2,006.1
12.9
23.5
120.7
29.5
24.5
12.6
30.1
601.8
60.3
485.5
21.1
25.5
17.6
25.0
41.3
10.7
12.0
7.4
142.8
8.5
12.2
19.4
10.1
17.7
11.3
110.9
7.5
2
108.0
7.8
2
( ) 2.7
( ) 2.6
6.2
6.1
107.4
7.7
2
( ) 2.6
6.2
(2) 4.0
(2)55.9
(2) 4.0
(2)54.7
(2) 4.0
(2)54.8
24.1
2.2
6.5
24.0
2.2
6.4
24.0
2.2
6.5
<*>
(2) 1.8
O
(2)
<o>
2
1.8
<>1.8
10.9
11.7
10.8
11.6
10.7
11.5
25.9
.4
3.7
5.9
1.2
6.3
1.6
1.0
27.3
.4
3.8
6.3
1.2
5.9
1.7
1.0
27.5
.4
3.8
6.3
1.2
5.8
1.7
1.0
(2)
(2)
(2)
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry--Continued
(In thousands)
Financial activities
State and area
Dec.
2004
Oklahoma
Lawton
Oklahoma City
Tulsa
Oregon
Bend
Corvallis
Eugene-Springfield
Medford
;
Portland-Vancouver-Beaverton
Salem
Pennsylvania
Nov.
2005
Professional and business services
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
Education and health services
Dec.
2004
Nov.
2005
Dec.
2005P
84.9
2.3
35.7
25.3
86.5
2.3
35.6
25.4
86.7
2.3
35.7
25.4
163.9
3.8
66.7
52.2
167.4
3.8
69.7
54.2
167.6
3.8
69.9
54.1
181.3
4.0
69.0
52.9
185.5
3.9
68.2
54.6
184.6
3.9
67.9
54.7
97.6
3.9
1.5
7.9
4.3
66.1
7.2
99.0
4.1
1.5
7.9
4.3
66.2
7.2
99.4
4.0
1.5
7.9
4.3
66.5
7.2
180.5
6.0
2.9
16.7
7.7
122.9
12.9
184.3
6.3
2.9
17.1
7.9
128.1
13.0
184.5
6.2
2.9
18.0
7.9
127.9
13.2
199.0
7.2
5.0
18.7
11.3
118.6
18.6
209.0
7.5
5.1
19.3
11.6
122.0
19.2
210.1
7.5
5.1
19.3
11.8
121.7
19.2
339.2
16.4
642.9
35.4
5.5
11.4
36.2
5.8
21.3
659.8
36.5
5.6
12.1
37.0
6.0
22.1
657.2
36.4
5.6
122
36.8
5.9
22.1
1,044.1
61.6
10.2
24.4
43.9
14.0
33.1
7.9
509.1
223.6
22.1
50.2
7.1
9.4
23.2
1,040.5
60.9
10.2
24.3
43.9
14.0
33.0
7.8
508.0
223.7
22.1
50.1
7.1
9:3
23.3
335.4
16.2
337.8
16.3
(22)
( ) 5.7
(22)
( ) 5.6
(22)
( ) 5.7
(2)14.7
(2)15.2
(2)15.0
1,017.1
58.7
10.1
24.3
43.6
13.9
32.7
7.5
497.9
216.6
21.9
49.1
7.0
9.1
22.5
Rhode Island
Providence-Fall River-Warwick
34.4
37.3
35.7
38.7
35.8
38.8
55.3
61.8
56.4
63.1
56.3
62.6
95.4
109.9
99.2
113.3
98.0
112.0
South Carolina
Anderson
Charleston-North Charleston
92.7
1.7
12.2
25.8
6.9
13.8
8.6
4.2
1.4
93.6
1.7
13.4
26.0
7.0
13.6
9.3
4.5
1.4
93.9
1.7
13.3
26.1
7.0
13.7
9.3
4.5
1.4
187.5
4.6
34.4
39.9
6.7
42.9
9.6
11.7
2.8
192.9
4.7
36.1
39.9
6.8
43.8
10.0
12.0
2.9
190.4
4.6
36.1
39.6
6.8
42.8
9.9
11.7
2.8
182.4
6.0
29.4
39.8
11.3
29.2
8.8
10.5
5.0
190.8
5.9
29.8
40.5
11.2
29.8
8.9
10.6
5.0
190.2
5.9
30.0
40.7
11.2
29.8
9.0
10.7
5.1
28.2
3.2
15.5
28.9
3.3
15.7
28.9
3.3
15.7
23.3
4.1
7.8
24.0
4.0
8.7
23.7
4.0
8.7
57.2
9.1
23.4
58.6
9.1
23.0
58.9
9.1
23.1
143.7
18.9
2.6
1.6
1.8
4.4
4.4
16.7
33.0
1.8
44.6
144.8
18.9
2.5
1.6
1.8
4.2
4.4
17.1
32.9
1.9
44.8
145.4
19.0
2.5
1.6
1.8
4.2
4.4
17.0
32.9
1.9
45.0
308.0
26.6
8.4
4.0
4.4
8.4
10.2
39.0
72.9
4.1
95.2
305.7
26.7
8.7
4.0
4.4
8.3
10.3
39.1
75.6
4.5
99.3
306.5
26.6
8.6
4.2
4.3
8.6
102
39.3
76.1
4.6
99.1
324.1
24.2
8.6
4.8
8.1
11.0
15.7
38.5
73.2
5.4
99.0
330.6
24.4
9.0
4.8
8.1
10.8
15.7
39.3
74.3
5.7
100.4
330.4
24.4
9.0
4.8
8.1
10.8
15.6
39.4
73.7
5.7
100.5
600.6
3.1
6.0
40.3
6.5
4.6
3.6
7.9
216.4
11.4
135.7
5.7
3.3
3.2
7.0
8.0
3.0
2.3
1.8
62.4
2.8
2.2
4.0
1.9
6.2
2.3
607.4
3.2
6.0
40.2
6.8
4.9
3.8
8.1
217.9
11.9
138.3
6.1
3.5
3.0
7.1
8.4
3.1
2.3
1.9
62.8
2.8
2.3
4.3
1.9
6.2
2.3
608.9
3.1
6.0
40.3
7.0
4.9
3.8
8.1
218.0
12.0
138.8
6.1
3.6
3.1
7.1
8.4
3.1
2.3
1.9
63.0
2.8
2.2
4.2
1.9
6.2
2.3
1,092.4
4.2
8.2
90.4
13.1
7.5
5.1
15.8
374.8
27.9
315.8
9.2
4.0
6.6
11.0
12.1
6.0
3.6
3.5
91.1
2.6
3.1
7.1
2.7
8.5
3.1
1,127.6
4.3
8.3
93.0
12.2
7.5
5.4
16.3
383.8
32.5
321.4
8.8
4.2
7.0
11.2
12.3
6.3
3.8
3.5
91.8
2.7
3.3
6.7
2.9
8.6
3.2
1,128.3
4.3
8.3
93.3
12.5
7.6
5.3
16.6
384.9
32.9
322.1
8.8
4.1
7.0
11.2
12.3
6.3
3.8
3.5
92.2
2.7
3.3
6.7
2.9
8.6
3.2
1,161.0
13.9
14.9
68.7
23.3
26.3
8.9
26.0
277.2
30.4
258.3
15.9
10.8
14.6
18.5
38.4
6.4
5.6
7.4
104.3
8.5
9.0
17.1
6.3
19.1
9.9
1,184.7
14.5
15.1
70.2
23.3
27.3
9.1
25.6
280.1
31.6
261.4
16.0
11.6
15.1
18.7
41.1
6.6
5.8
7.6
106.9
8.6
9.3
18.0
6.5
18.7
10.1
1,186.0
14.3
15.1
69.9
23.3
27.4
9.0
25.8
281.7
31.4
261.7
16.1
11.7
15.0
18.7
41.5
6.5
5.7
7.5
106.9
8.6
9.2
18.1
6.5
18.6
10.1
Allentown-Bethlehem-Easton
Altoona
Erie
Harrisburg-Carlisle
Johnstown
Lancaster
Lebanon
Philadelphia-Camden-Wilmington
Pittsburgh
Reading
Scranton—Wilkes-Barre
State College
Williamsport
York-Hanover
Columbia
Florence
Greenville
Myrtle Beach-Conway-North Myrtle Beach
Spartanburg
Sumter
South Dakota
Rapid City
Sioux Falls
Tennessee
Chattanooga
Clarksville
Cleveland
Jackson
Johnson City
Kingsport-Bristol-Bristol
Knoxville
Memphis
Morristown
Nashville-Davidson—Murfreesboro
Texas
Abilene
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Harlingen
College StationrBryan
Corpus Christ!
Dallas-Fort Worth-Arlington
El Paso
Houston-Baytown-Sugar Land
Killeen-Temple-Fort Hood
Laredo
Longview
;
Lubbock
McAllen-Edinburg-Pharr
Midland
Odessa
San Angelo
San Antonio
Sherman-Denison
Texarkana
Tyler
Victoria
Waco
Wichita Falls
2
2
( ) 6.7
( ) 7.0
24.6
25.0
2
( ) 7.0
25.1
(2)10.1
(2218.6
)
(2)10.0
(2219.4
)
(2)10.0
(2220.2
)
69.2
8.4
14.1
69.0
8.5
14.1
69.4
8.5
14.2
See footnotes at end of table.
130
(2406.7
)
(2416.3
)
(2416.3
)
140.6
20.2
21.0
5.7
142.1
21.0
21.3
5.9
141.7
21.0
21.1
5.9
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(in thousands)
Oklahoma
Lawton
Oklahoma City
Tulsa
Oregon
Bend
Corvallis
Eugene-Springfield
Medford
Portland-Vancouver-Beaverton
Salem
Pennsylvania
Allentown-Bethlehem-Easton
Altoona
Erie
Harrisburg-Carlisle
Johnstown
Lancaster
Lebanon
Philadelphia-Camden-Wilmington
Pittsburgh
Reading
Scranton—Wilkes-Barre
State College
Williamsport
York-Hanover
Dec.
2004
!
Nov.
2005
Government
Other services
Leisure and hospitality
State and area
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
Dec.
2004
Nov.
2005
Dec.
2005P
128.1
3.9
53.5
34.0
128.3
4.1
56.4
34.4
126.7
4.2
56.2
34.6
74.0
1.9
27.7
21.4
74.5
1.8
28.3
21.9
74.1
1.8
28.2
22.0
312.2
12.6
115.5
51.6
321.8
12.9
115.6
52.0
320.6
12.8
115.2
52.1
155.6
8.2
3.3
13.6
8.8
87.6
11.8
157.4
8.1
3.3
14.0
9.0
89.1
11.7
157.4
8.4
3.2
13.8
9.2
89.4
11.5
58.1
1.8
1.2
4.9
2.8
34.9
5.2
59.6
1.8
1.1
4.9
2.8
34.8
5.1
59.8
1.8
1.1
4.9
2.8
34.8
5.1
276.5
7.4
12.1
27.5
11.3
134.0
39.1
280.1
7.7
12.6
27.4
11.5
136.6
39.8 i
278.3
7.5
12.6
27.5
11.3
135.9
39.7
468.1
27.6
5.4
12.1
25.9
4.5
20.2
480.11
27.6
5.4
12.1
26.5
4.7
20.7
480.8
27.8
5.3
11.9
26.6
4.7
20.4
263.9
15.2
267.6
15.2
268.4
15.3
774.3
41.7
9.0
16.8
64.0
9.9
21.9
7.9
361.5
127.2
22.4
32.4
31.0
8.1
21.3
768.1
41.8
8.9
16.7
64.0
9.9
21.4
7.7
363.0
127.2
22.6
32.4
29.2
8.0
21.4
2
<211.8
)
(2215.1
)
(2215.7
)
103.2
12.8
22.1
6.5
3.8
13.9
104.0
13.1
22.S
6.6
3.8
14.2
104.7
13.0
22.3
6.5
3.8
14.2
2
(O
) 7.8
7.8
761.3
41.6
9.3
16.5
63.7
9.9
21.0
7.8
362.7
129.8
22.3
32.2
29.6
8.1
20.0
23.2
26.8
23.2
26.8
66.8
76.5
67.3
77.8
67.1
77.5
67.2
2.0
10.3
12.8
2.9
10.8
4.3
4.2
67.8
2.0
10.3
12.9
2.9
10.8
4.2
4.3
337.5
12.1
53.5
77.0
16.6
40.8
12.0
18.1
6.9
337.8
11.7
54.3
77.8
16.7
41.8
12.3
18.9
6.9
338.2
11.7
54.5
78.6
16.6
41.8
12.4
18.7
7.0
(2) 6.2
(2) 6.2
17.3
17.4
(2) 6.2
17.4
(2)10.5
(2122.8
)
(2)10.3
(2124.1
)
(2)10.3
(2124.6
)
59.5
7.9
10.1
60.3
7.9
10.2
60.2
8.0
10.2
O
(2)
<o>
2
( ) 7.7
48.7
58.0
51.1
61.2
50.5
60.4
23.4
26.7
200.6
6.5
32.5
30.1
7.2
28.9
30.2
10.0
2.9
199.7
6.6
33.5
30.8
7.1
29.3
31.0
9.9
2.9
198.3
6.6
33.4
30.8
7.0
29.0
30.3
9.8
2.9
66.7
2.1
10.2
12.8
3.0
10.8
4.2
4.2
South Dakota
Rapid City
Sioux Falls
39.1
7.1
11.9
39.5
7.3
12.0
39.4
7.3
12.1
16.3
2.8
5.4
16.3
2.6
5.2
15.8
2.6
5.4
76.0
10.0
11.9
76.3
10.1
11.8
76.4
10.1
11.9
Tennessee
Chattanooga
Clarksvilte
252.7
20.4
7.8
2.8
4.7
8.1
11.5
33.4
67.4
2.9
73.0
256.8
21.2
7.8
3.1
4.7
8.6
12.2
35.5
70.2
3.0
74.1
255.6
21.2
7.9
3.1
4.8
8.5
' 12.1
35.2
70.6
3.0
73.6
102.3
10.8
2.9
2.4
2.3
2.2
4.5
13.9
24.4
1.6
29.3
103.1
11.0
3.1
2.4
2.4
2.2
4.5
14.0
24.6
1.7
29.8
103.2
11.0
3.1
2.4
2.4
2.2
4.5
14.0
24.6
1.7
29.5
418.9
36.7
17.9
6.0
11.5
15.7
15.7
52.9
91.7
6.6
96.7
419.9
36.6
18.3
5.8
11.5
16.1
15.6
53.1
92.7
6.6
96.2
420.5
36.9
18.4
5.9
11.5
16.0
15.6
52.5
92.0
6.7
97,1
873.6
6.3
11.3
67.8
13.3
11.1
9.0
17.6
248.2
24.6
204.6
10.4
7.9
7.3
14.2
16.1
5.6
5.0
4.2
84.0
4.0
5.1
8.2
4.0
9.5
5.7
893.2
6.4
11.2
71.0
14.0
11.6
9.0
17.5
253.4
24.8
207.9
10.9
8.5
7.6
14.2
16.6
5.8
5.0
4.3
87.5
4.4
5.2
8.3
4.1
9.6
5.8
893.0
6.4
11.3
71.1
14.1
11.6
9.0
17.4
252.9
24.9 I
208.9
10.9
8.6
7.5
13.8
16.8
5.8
5.1
4.3
87.2 i
4.4
5.3
8.2
4.1
9.7 l
5.8
357.9
3.1
4.7
26.3
6.0
3.9
2.7
7.0
107.1
7.6
95.5
4.6
1.8
3.2
5.4
5.1
2.3
2.8
1.9
28.1
1.7
2.3
3.7
1.7
4.4
3.3
360.8
3.2
4.7
27.0
5.9
4.1
2.8
6.9
106.3
8.1
96.3
4.8
1.9
3.3
5.5
5.5
2.3
2.8
1.9
28.9
1.7
2.3
3.9
1.7
4.5
3.4
361.6
3.2
4.7
27.0
5.9
4.1
2.8
6.8
106.5
8.1
96.8
4.8
1.9
3.3
5.5 I
5.5
1,688.3
12.8
18.4
145.8
27.2
27.0
34.2
32.8
358.6
60.0
343.7
31.5
19.3
11.8
29.0
48.9
8.6
9.1
9.0 I
145.1 i
6.3
12.8
12.7
8.7
17.2
13.4
1,707.6
12.8
18.8
151.3
26.8
27.3
34.2
32.7
370.1
61.2
349.0
32.7
19.5
12.0
29.0
50.4
8.2
9.5
1,698.6
12.8
18.6
148.4
26.8
27.2
33.5
32.7
369.0
60.1
348.2
32.7
19.5
12.0
28.7
50.5
8.1
9.5
10.0
146.6
6.2
12.3
13.2
8.6
17.6
13.2
Rhode Island
Providence-Fall River-Warwick
South Carolina
Anderson
Charleston-North Charleston
Columbia
Florence
Greenville
Myrtle Beach-Conway-North Myrtle Beach
Spartanburg
Sumter
Cleveland
Jackson
Johnson City
Kingsport-Bristol-Bristol
Knoxville
Memphis
Morristown
Nashville-Davidson—Murfreesboro
Texas
Abilene
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Hariingen
College Station-Bryan
Corpus Christi
Dallas-Fort Worth-Arlington
El Paso
Houston-Baytown-Sugar Land
Killeen-Temple-Fort Hood
Laredo
Longview
Lubbock
McAllen-Edinburg-Pharr
Midland
Odessa
San Angelo
San Antonio
Sherman-Denison
Texarkana
Tyler
Victoria
Waco
Wichita Falls
See footnotes at end of table.
131
(2)
(2)
(2)
!
i
I
I
I
2.3
2.8
1.9
28.9 (
1.7
2.3
3.9 I
1.7
4.5
3.4
10.0
146.6
6.3
12.4
13.2
8.6
17.7
13.3
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Utah
Logan
Ogden-Clearfield
Provo-Orem
St. George
Salt Lake City
Vermont
Burlington-South Burlington
Virginia
Blacksburg-Christiansburg-Radford ...
Charlottesville
Danville
Harrisonburg
Lynchburg
Richmond
Roanoke
Virginia Beach-Norfolk-Newport News
Winchester
Washington
Bellingham
Bremerton-Silverdale
Kennewick-Richland-Pasco
Longview
Mount Vemon-Anacortes
Olympia
Seattle-Tacoma-Bellevue
Spokane
Wenatchee
Yakima
Morgantown
Parkersburg-Marietta
Wheeling
Wisconsin
Appleton
Eau Claire
Fond du Lac
Green Bay
Janesville
La Crosse
Madison
Milwaukee-Waukesha-West Allis
Oshkosh-Neenah
Racine
Sheboygan
Wausau
Wyoming
Casper
Cheyenne
Puerto Rico
Aguadilla-lsabela-San Sebastian
Fajardo
Guayama
Mayaguez
Ponce
San German-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
Virgin Islands
Dec.
2005P
Dec.
2004
Nov.
2005
1,130.0
50.1
185.6
169.4
45.1
580.5
1,171.4
50.9
193.0
176.3
48.5
597.5
1,180.4
51.3
192.8
177.4
48.6
605.6
312.4
116.3
311.1
116.0
316.5
116.1
3,645.6
72.4
93.5
44.6
62.6
104.0
610.8
160.0
757.6
55.0
3,690.1
74.6
95.4
42.9
64.1
105.6
627.1
163.8
769.0
57.7
3,686.3
74.1
95.5
42.6
64.0
105.7
627.3
164.2
769.5
57.5
2,733.2
79.5
84.3
88.1
36.7
44.8
95.0
1,616.4
203.2
37.3
75.4
2,821.3
84.0
87.3
90.5
37.6
46.8
98.8
1,673.0
208.9
38.9
78.1
2,811.4
84.0
87.2
90.5
37.6
46.7
99.0
1,670.2
207.9
38.6
77.4
742.3
148.8
118.7
57.0
74.9
67.3
752.7
149.0
119.3
59.7
74.7
68.1
750.3
149.7
118.5
59.6
74.2
68.0
2,822.4
117.6
78.6
48.6
170.7
68.6
72.9
341.3
841.1
92.8
79.3
61.4
71.5
2,870.0
117.8
79.3
49.8
171.0
71.7
74.1
346.3
849.4
94.6
80.6
61.9
72.1
2,860.1
117.6
78.8
49.8
170.5
71.7
73.5
344.1
848.9
94.1
80.6
62.2
71.9
256.0
36.2
40.8
262.9
38.0
41.8
262.2
37.9
41.7
1,062.1
51.4
16.6
18.9
43.0
66.6
23.2
800.6
15.1
1,000.4
45.9
16.5
15.6
37.0
60.6
20.7
761.2
13.9
1,000.1
45.8
16.2
15.8
36.9
60.9
20.4
761.8
13.8
42.7
43.2
43.6
See footnotes at end of table.
132
Dec.
2004
Nov.
2005
7.4
8.4
(!)
<!^
<>
<>
< 1>
()
(1)
85.9
3.0
15.1
14.7
7.6
40.0
85.1
3.0
14.8
14.3
7.8
39.8
1.1
16.7
6.0
18.3
6.7
17.8
6.5
()
1.1
(1)
10.3
73.3
2.7
13.1
12.3
6.4
35.1
( )
( )
(1)
()
.9
10.2
(1)
10.4
235.9
<?>
<?>
<?)
<?>
1
((?)
)
(?)
(?)
(?)
(?)
((?)
)
(2)
(?)
(?)
(?)
1
((?)
)
(2)
2
((?)
)
2
(?)
( )44.3
o
()
O
(2)
( )
O
(2)
10.2
50.1
(2)
( )
<>
2
9.0
<!>
<>
o
<>
< )
(1) 1.7
<!>
< 1)
()
24.6
O
<?>
<?>
<
(2?)>
3.5
(!)
( )
( )
( )
( )
(1)
()
(!)
( )
(1)
()
1
(!)
(!)
( ) 1.6
(!)
O)
(1>
( ) 1.7
(!)
(11)
()
( )
( )
( )
(1)
25.7
(1)
(?)
(?)
(?)
(2)
(1)
21.4
3.4
( )
(1)
()
( )
(1)
.5
23.5
3.7
()
(!)
(11)
(1)
()
1
23.8
3.7
()
()
()
O
<?>
<?>
(?)
(?))
C
O
(?)
(?)
(?)
1
((?)
)
(?)
(1)
O
(?)
(?)
(?)
1
((?)
)
(?)
(1)
1
(?)
2
o
()
(1)
(2)
(1)
.4
(2)
(1)
(2)
39.4
15.8
(?)
(?)
(2)
3.3
(2)
44.9
10.5
53.7
34.2
14.8
()
248.4
(2)
180.6
8.5
5.9
5.7
3.1
3.8
5.5
103.9
13.6
2.7
3.7
2
(!)
248.4
(?)
(?)
(?)
(?)
(2)
161.8
7.3
5.2
5.3
2.9
3.5
5.1
95.3
11.9
2.6
3.4
25.7
(1)
3.7
()
(!)
(1)
( )
(1)
1
( )
( )
( )
(1)
(?)
(?)
(2)
( )
( )
( )
( )
(1)
.4
9.1
9.0
Dec.
2005P
8.6
(!)
(>
( )
(1)
Nov.
2005
Dec.
2004
Dec.
2005P
CM
West Virginia
Charleston
Huntington-Ashland
Construction
Natural resources and mining
Total
State and area
(?)
(?)
(?)
(2)
(?)
(?)
(?)
(2)
44.8
10.6
53,7
176.8
8.4
5.9
5.6
3.1
3.8
5.4
102.6
13.1
2.7
3.7
2
37.8
15.8
()
(?)
(?)
(2)
123.0
8.3
3.1
2.8
8.8
3.2
2.8
16.2
32.9
3.7
3.9
2.5
2.9
137.9
8.9
3.4
3.2
8.9
3.3
3.1
16.2
37.1
3.9
4.0
2.7
3.2
129.5
8.4
3.0
3.0
8.9
3.2
2.7
15.4
35.5
3.7
3.7
2.5
2.8
18.3
2.3
2.5
20.2
2.5
2.6
19.0
2.4
2.5
67.2
62.9
62.6
(2)
(?)
(?)
(?)
(2)
(?)
(?)
(?)
(2)
(?)
(?)
(2)
(2)50.6
(2)
(2)49.6
(2)
(2)49.6
(2)
1.7
1.9
1.9
4.3
3.7
3.7
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry—Continued
(In thousands)
Manufacturing
State and area
Utah
Logan
Ogden-Clearfield
Provo-Orem
St. George
Salt Lake City
Dec.
2004
236.5
30.6
32.6
33.0
8.6
7.6
7.9
8.2
22.9
18.0
37.8
28.6
11.2
126.5
38.2
29.0
11.3
128.6
.7
2.6
7.4
.8
.7
2.6
8.3
.9
.8
2.6
8.4
.9
17.7
18.9
18.9
6.3
3.1
6.1
3.2
6.2
3.2
119.0
3.2
3.2
54.3
37.5
15.4
37.6
15.4
37.7
15.5
61.1
23.0
60.5
22.5
61.4
22.9
300.8
14.8
298.2
14.4
296.9
14.3
674.2
674.4
681.4
9.6
9.6
9.7
4.7
9.0
4.7
8.1
13.8
14.3
14.3
9.3
8.4
9.5
12.6
19.1
46.5
18.1
60.4
12.5
19.1
46.6
18.1
61.0
11.8
20.0
116.4
35.3
146.1
11.8
11.9
20.1
117.1
36.0
146.8
12.4
11.9
20.4
118.4
36.4
148.6
12.5
541.5
15.4
13.8
15.2
550.0
16.3
14.6
15.9
552.8
16.4
14.4
16.0
7.1
9.9
7.3
7.3
15.4
323.4
42.8
10.2
16.1
325.8
43.2
10.2
16.2
329.8
43.5
8.9
9.6
9.5
16.9
17.3
17.3
140.7
29.2
140.7
28.6
140.2
28.7
4.8
10.4
12.7
18.8
46.5
18.4
61.2
()
2
()
2
()
271.6
8.2
1.8
5.4
7.3
5.1
3.4
8.5
1.8
5.4
7.3
5.3
3.5
8.5
1.8
5.4
7.4
5.3
3.5
Seattle-Tacoma-Bellevue
166.5
17.0
174.3
16.8
174.2
16.7
2.2
9.2
2.3
9.5
2.3
8.9
62.6
62.1
61.8
Green Bay
Wausau
7.1
9.9
3.7
9.9
4.9
501.1
24.9
10.4
10.8
31.4
14.8
Virgin islands
6.5
10.1
3.9
8.5
4.6
4.0
8.5
4.6
502.6
24.2
10.4
10.9
31.1
17.6
504.2
24.3
10.5
11.0
31.4
17.6
O
O
(2)
O
O
(2)
11.3
2
<o>
557.1
24.7
16.1
551.5
24.0
16.2
558.0
24.2
16.1
9.3
9.5
9.7
37.7
15.8
14.8
64.2
158.5
15.3
15.3
37.6
15.4
15.2
63.0
154.5
16.8
15.3
37.7
15.6
15.2
63.8
155.8
16.8
15.4
9.1
9.2
9.3
2.5
14.7
()
O
O
<o>
<o>
2.9
<!>
(2)
3.0
O
<!>
(2)
50.3
50.4
2.1
1.3
1.1
2.5
1.1
1.5
8.1
2.1
1.2
1.1
2.3
1.1
1.5
8.0
2.1
1.2
1.1
2.3
1.1
1.5
8.0
18.5
18.0
17.9
1.6
.6
.3
.9
1.5
.6
.3
.8
1.5
.6
.3
.8
4.2
.5
1.0
4.3
.6
1.0
16.9
17.0
51.3
51.4
8.5
8.9
8.8
9.0
8.8
9.1
4.3
.5
1.0
113.7
193.2
179.0
184.1
23.4
7.6
8.5
3.1
2.5
7.4
8.5
2.7
2.2
7.2
8.7
2.8
( ) 4.3
( ) 4.2
( ) 4.3
3.8
8.1
6.1
3.3
8.7
6.3
3.4
8.8
6.3
10.6
3.0
8.2
2.6
2.1
7.1
8.5
2.8
77.2
75.6
75.7
151.0
142.1
146.0
2.4
2.2
2.5
(2)20.8
(2)
8.5
8.5
8.7
.9
(2)
2.1
(2)
(2)
2.2
2.2
133
3.1
50.6
16.8
2
12.2
O
O
<
(2f>
)
<o>
50.1
7.7
2.9
()
3.3
9.7
1.7
1.6
114.5
78.1
2
12.1
10.0
2
O
O
(2)
<o>
12.0
9.8
1.6
1.6
9.5
95.6
<o>
2.9
O
O
(2)
14.6
(2)
<!>
(2)78.1
()
2.4
2
O
<*>
(2)75.1
2
11.6
()
O
O
<o>
<o>
98.7
O
O
O
O
(2)
95.5
<o>
8.7
117.4
2
()
92.4
32.0
136.4
23.3
19.1
23.2
18.4
2
11.7
2.5
8.7
1.8
1.6
O
O
O
(2)
15.2
<o>
<!>
(2)
<o>
(2)
<o>
32.0
136.3
23.2
18.9
22.9
18.3
See footnotes at end of table.
o
O
O
<o>
<o>
9.1
Ponce
San Genman-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
6.5
10.0
98.8
100.8
<!>
31.7
134.3
23.2
18.8
22.6
18.3
Wyoming
Casper
Cheyenne
Puerto Rico
Aguadilla-lsabela-San Sebastian
Fajardo
Guayama
Mayaguez
233.8
54.1
272.5
Janesville
La Crosse
Madison
Milwaukee-Waukesha-West Allis
Oshkosh-Neenah
Racine
Sheboygan
229.3
3.1
West Virginia
Charleston
Huntington-Ashland
Morgantown
Parkersburg-Marietta
Wheeling
Dec.
2005P
8.6
53.0
2
Nov.
2005
Dec.
2004
22.9
17.9
118.5
264.5
Wisconsin
Appleton
Eau Claire
Fond du Lac
Dec.
2005P
8.4
Washington
Bellingham
Bremerton-Silverdale
Kennewick-Richland-Pasco
Longview
,
Mount Vernon-Anacortes
Olympia
Spokane
Wenatchee
Yakima
Nov.
2005
Dec.
2004
38.3
28.0
10.8
124.1
Roanoke
Virginia Beach-Norfolk-Newport News
Winchester
Information
Trade, transportation, and utilities
Dec.
2005P
22.7
18.0
117.1
Vermont
Burlington-South Burlington
Virginia
Blacksburg-Christiansburg-Radford ...
Charlottesville
Danville
Harrisonburg
Lynchburg
Richmond
Nov.
2005
o
<*>
2
()
.6
.5
22.4
22.5
<!>
<
(2?)>.5
<!>
(2) .6
.5
(2)19.5 I
(2)
.9
<o>
(2)
.5
19.6
(2)
.9
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls in States and selected areas by major industry-—Continued
(In thousands)
Financial activities
State and area
Utah
Logan
Ogden-Clearfield
Provo-Orem
St. George
Salt Lake City
Dec.
2004
West Virginia
Charleston
Huntington-Ashland
Morgantown
Parkersburg-Marietta
Wheeling
Wisconsin
Appleton
Eau Claire
Fond du Lac
Green Bay
Janesville
La Crosse
Madison
Milwaukee-Waukesha-West Allis
Oshkosh-Neenah
Racine
Sheboygan
Wausau
3.6
21.0
3.5
91.8
93.5
36.2
5.9
54.3
22.4
10.3
54.7
18.7
13.6
5.5
13.8
5.6
21.3
10.3
22.3
10.3
190.2
191.6
I
2
47.4
9.4
38.7
)
<)
(2)
3.8
103.8
12.5
<!>
(2)
( )
4.0
104.9
12.7
30.5
8.3
58.3
13.7
(2)
( )
6.2
3.7
1.7
11.2
2.0
3.2
28.3
56.2
3.8
2.7
2.4
5.1
1.7
11.2
2.0
3.2
28.9
56.5
3.8
2.7
2.3
5.1
10.8
1.9
2.0
10.6
1.9
2.0
Puerto Rico
Aguadilla-lsabela-San Sebastian
Fajardo
Guayama
Mayaguez
Ponce
San German-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
46.7
1.6
46.5
1.6
47.0
1.6
<!>
(2)
<;>
(2)
2.8
2 1.9
2.8
2 1.9
.>
(2)
See footnotes at end of table.
134
3.7
19.9
2.0
(2)
( )
320.6
6.2
7.4
19.8
2.0
2
( )
7.5
222.1
22.7
2
( )
4.3
59.8
14.1
<2L
5.2
7.6
220.8
22.4
2
( )
4.2
60.4
14.3
< 2 )_
5.2
65.1
23.1
83.7
8.3
324.3
(2)
8.9
4.9
99.9
(!)
(2)
3.8
89.0
( )
3.4
2
179.8
33.7
5.3
12.3
113.0
20.9
20.8
11.0
2
13.5
7.2
68.8
23.3
83.6
8.6
335.2
(2)
9.0
4.9
396.2
<;>
(2)
7.2
<;>
(2)
69.1
23.2
83.7
8.5
334.8
(2 }
2.
( )
9.1
4.9
2
( )
187.7
188.0
35.1
5.5
12.8
115.5
21.0
21.3
11.4
2
( )
13.5
34.9
5.5
12.9
114.5
21.1
21.3
11.4
2
( )
13.6
15.2
2.7
3.1
21.9
4.7
3.2
22.3
4.9
3.4
22.3
4.9
3.4
99.8
100.7
5.1
>.1
3.8
6.6
20.9
8.8
13.9
34.6
133.9
10.3
10.4
(2)
(2)
2
2
4.5
10.3
( )
86.8
( )
3.5
396.8
<;>
(2)
6.9
7.6
( )
( )
55.6
18.5
390.0
12.2
13.3
7.1
20.8
9.3
14.2
35.3
137.4
10.4
10.5
7.0
7.6
<;>
<*>
(2)
2
55.4
18.4
390.8
12.3
13.2
7.1
21.2
9.3
14.2
35.4
137.2
10.5
10.5
7.0
7.7
2
86.9
6.4
56.4
<;>
(2)
<;>
(2)
Dec.
2005P
132.7
4.7
19.3
37.3
6.5
56.5
132.0
4.7
19.2
36.9
( )
( )
<;>
(2)
<!>
(2)
2
2
2.5
6.2
7.4
102.1
{2
( )
2.5
322.1
Nov.
2005
<o>
2
15.7
2.8
3.3
2
2.6
( )
9.2
88.6
22.1
102.5
2
->
(2)
14.8
2.5
3.0
( )
<>
9.1
89.1
22.0
2103.6
6.9
(2
11.3
7.6
2.8
15.2
5.4
6.4
32.2
107.7
11.1
6.5
3.4
4.0
2
( )
( )
( )
384.0
11.9
12.9
( )
( )
10.2
»>
(2)
258.7
11.7
7.7
2.8
15.4
5.5
6.6
36.3
110.4
11.0
6.6
3.5
4.1
2
38.3
2
(2
262.6
11.3
7.8
2.9
15.5
5.6
6.7
37.1
111.3
11.1
6.7
3.5
4.2
( )
37.8
<J>
2
10.2
388.5
598.5
(2)
( )
6.3
3.7
3.8
2.6
2.3
5.0
600.6
(2)
2
249.3
56.7
38.5
4.8
158.4
1.8
11.0
2.0
3.1
28.0
2.6
2 1.8
4.2
157.9
3.9
<;>
(2)
7.3
209.4
21.4
2
<;>
(2)
2
( )
306.2
5.8
7.1
21.1
1.9
2
( )
(2)
30.5
8.2
8.9
87.4
20.7
101.1
2
( )
( )
2
157.4
6.4
3.6
3.9
104.8
12.8
30.3
8.0
( )
( )
(2
2->
<!>
(2)
9.9
( )
154.9
2 3.1
3.6
(2)
2
2
47.4
9.8
39.8
( )
155.0
2 3.1
3.4
(2)
( )
( )
152.2
2 3.0
f>
2
47.3
9.8
39.8
588.9
(2)
(
<•>
2
(<•>
)
2
191.8
Education and health services
Dec.
2004
127.7
4.5
18.5
13.5
5.4
<;>
Dec.
2005P
150.7
7.2
20.5
46.6
67.9
1.4
8.4
6.3
2.0
10.6
1.9
2.0
Nov.
2005
149.3
7.2
20.5
20.8
65.5
1.2
8.2
6.4
2.0
45.1
Wyoming
Casper
Cheyenne
Virgin Islands
Dec.
2004
140.9
7.7
18.5
19.6
3.4
87.4
Vermont
Burlington-South Burlington
Washington
Bellingham
Bremerton-Siiverdale
Kennewick-Richland-Pasco
Longview
Mount Vemon-Anacortes
Olympia
Seattle-Tacoma-Bellevue
Spokane
Wenatchee
Yakima
Professional and business services
Dec.
2005P
68.7
1.4
8.4
6.4
2.0
47.2
:
Virginia
Blacksburg-Christiansburg-Radford ...
Charlottesville
Danville
Harrisonburg
Lynchburg
Richmond
Roanoke
Virginia Beach-Norfolk-Newport News
Winchester
Nov.
2005
2
72.1
( )
3.5
2.2
4.3
9.4
( )68.0
(z)
2.2
(2)
2
4.3
9.4
( )
69
(2)
2.2
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
B-12. Employees o n nonfarm payrolls in States a n d selected areas b y major industry—Continued
(In thousands)
Leisure and hospitality
State and area
Utah
Logan
Ogden-Clearfield
Provo-Orem
St. George
Salt Lake City
Washington
Bellingham
Bremerton-Silverdale
Kennewick-Richland-Pasco
Longview
Mount Vemon-Anacortes
Olympia
Seattle-Tacoma-Bellevue
Spokane
Wenatchee
Yakima
West Virginia
Charleston
Huntington-Ashland
Morgantown
Parkersburg-Marietta
Wheeling
Wisconsin
Appleton
Eau Claire
Fond du Lac
Green Bay
Janesville
La Crosse
Madison
Milwaukee-Waukesha-West Allis
Oshkosh-Neenah
10.0
3.4
(2)
2
10.2
3.5
( )
7.9
47.8
12.6
73.8
(2)
8.1
50.5
13.2
76.6
(2)
250.7
9.0
7.4
7.5
3.2
4.7
7.4
259.5
9.2
7.7
7.9
3.4
5.0
8.0
144.9
17.9
4.8
6.2
151.7
18.5
5.0
6.8
67.0
67.0
11.8
10.3
4.9
11.6
10.6
5.0
(2)
5.9
6.9
28.4
63.2
6.4
6.3
4.5
4.7
Racine
Sheboygan
206.6
12.6
44.6
25.3
6.2
92.1
34.6
10.6
10.3
3.7
10.1
3.7
10.3
3.7
55.8
20.2
55.8
20.0
312.5
179.7
180.6
180.8
664.4
21.3
28.5
6.6
10.7
14.3
115.0
20.4
674.5
22.5
29.6
6.3
11.3
14.4
120.3
21.0
154.2
7.3
(2)
10.1
3.5
(2)
8.0
49.8
13.3
75.8
(2)
261.4
9.4
7.6
8.0
3.4
4.9
8.0
153.3
18.7
5.0
6.8
67.0
11.9
10.2
4.8
248.9
11.2
7.0
4.8
14.6
5.9
6.9
27.1
65.4
6.1
7.0
4.4
4.6
248.1
11.3
6.9
4.8
14.2
5.9
6.8
26.6
66.3
6.1
7.0
4.4
4.7
29.3
3.3
4.3
29.1
3.7
4.3
29.8
3.6
4.3
Puerto Rico
Aguadilla-lsabela-San Sebastian
Fajardo
Guayama
Mayaguez
Ponce
San German-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
72.0
2.6
2.7
70.4
2.6
2.5
70.5
2.6
2.4
Virgin islands
1
2
3
(2) 3.0
(2) 3.0
(2) 3.2
3.3
3.2
3.3
2
( )
()
(2)
(2)
55.3
7.1
53.4
2
( )53.2
<2)
7.0
(2)
(2)
30.7
7.3
35.9
(2)
(2)
530.2
16.6
28.4
16.2
6.2
10.7
36.1
(2)
8.4
16.9
102.9
102.8
<;>
<!>
<!>
<!>
(2>
61.4
8.9
(2)
62.2
9.0
62.4
9.0
(2)
(2)
55.0
11.8
55.2
11.7
134.1
5.8
3.7
2.8
7.3
2.8
3.3
17.0
40.7
4.4
4.6
3.0
3.1
421.3
11.6
12.8
8.2
428.4
11.7
12.7
5.8
21.3
8.7
11.3
82.2
92.0
13.3
10.3
6.6
8.2
9.8
1.7
1.7
65.7
5.8
12.6
66.1
5.7
12.9
22.9
316.8
18.1
5.5
286.5
15.7
6.0
5.4
(2)
135.4
5.8
3.7
2.8
7.3
2.8
3.3
17.0
40.9
4.4
4.6
2.9
3.1
9.8
1.7
1.7
9.7
1.7
1.7
22.6
23.2
<2>
<!>
6.0
21.1
8.7
11.0
80.6
92.8
12.9
10.2
6.6
7.6
2
2
2
( )
19.9
2.0
( )
( )
(2)
(2)
19.7
2.2
17.3
144.9
28.4
20.5
17.3
10.8
10.4
<;>
134.8
5.9
3.7
2.9
7.2
2.9
3.4
17.3
42.2
4.5
4.7
3.2
3.1
255.1
34.2
539.1
16.8
28.9
16.4
6.3
10.7
37.4
260.3
34.3
8.6
144.6
28.4
20.4
16.8
10.6
10.2
55.0
11.6
(2)
153.4
7.2
19.4
2.3
12.4
13.4
21.1
6.6
226.2
7.2
19.2
5.4
208.6
6.5
12.2
12.3
Bulletin No. 04-03, dated February 18, 2004, and are available at
http://www.bls.gov/lau/lausmsa.htm and in the May issue of Employment and Earnings.
Areas in the six New England states are Metropolitan New England City and 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-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W. Va.-Ohio, are the
exceptions in that they are listed under Illinois and Ohio, respectively, for operational
Data not available.
Area boundaries do not reflect official OMB definitions.
P = preliminary.
NOTE: Data are counts of jobs by place of work. State and area data are currently
projected from 2004 benchmark levels. When more recent benchmark data are
introduced with the release of January 2006 estimates, unadjusted data from April 2004
are subject to revision. Area definitions are based on Office of Management Budget
30.9
7.4
35.6
100.4
(2)
7.2
Natural resources and mining is combined with construction.
(2)
29.6
7.4
34.3
(2)
Wyoming
Casper
Cheyenne
2
<J>
(2
.>
(2)
(2)
(2>
(2)
240.3
10.5
6.8
4.5
14.9
Wausau
13.6
5.9
55.6
202.1
12.5
42.5
24.7
5.8
30.3
10.3
316.0
Nov.
2005
Dec.
2004
33.5
1.1
5.6
4.1
1.4
18.7
34.3
10.5
(2)
Dec.
2005P
33.3
1.1
5.6
4.0
1.4
18.7
12.9
5.6
54.7
311.9
Nov.
2005
Dec.
2004
32.8
1.1
5.5
3.9
1.3
18.2
106.2
3.8
16.1
(2)
Government
Other services
Dec.
2005P
103.1
3.7
16.3
13.5
6.0
52.4
103.3
3.7
15.7
Vermont
Burlington-South Burlington
Virginia
Blacksburg-Christiansburg-Radford ...
Charlottesville
Danville
Harrisonburg..
Lynchburg
Richmond
Roanoke
Virginia Beach-Norfolk-Newport News
Winchester
Nov.
2005
Dec.
2004
135
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division
(Numbers in thousands)
Total
State, area, a n d division
Natural resources and mining
Dec.
2004
Nov.
2005
Dec.
2005 P
14,755.9
5,503.9
4,023.1
1,481.8
1,981.3
1,032.6
948.7
14,957.3
5,558.3
4,058.4
1,499.9
2,007.7
1,051.5
956.2
14,990.0
5,573.1
4,072.6
1,500.5
2,012.8
1,055.3
957.5
District of Columbia
Washington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
676.6
2,902.9
567.6
2,335.4
689.7
2,978.9
577.9
2,401.0
688.3
2,984.5
578.9
2,405.6
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdaie-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
7,695.0
2,357.2
7,945.4
2,412.7
770.9
1,062.8
564.7
7,892.1
2,391.9
763.4
1,056.5
572.0
579.0
(4)
Illinois
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3
Lake County-Kenosha County 2
5,862.8
4,454.5
5,932.9
4,509.4
5,925.7
4,504.5
3,790.0
3,833.8
280.3
3,830.8
280.2
(1)
395.3
393.5
3,233.1
3,236.1
2,450.2
2.0
1.1
1,670.9
90.7
.9
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
,
741.0
1,051.5
279.0
385.6
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Bilierlca-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
3,222.0
2,437.7
1,660.6
89.6
153.4
76.0
119.2
102.8
132.5
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearborn
Warren-Farmington Hills-Troy
4,423.1
4,410.8
2,058.8
841.1
1,217.7
2,053.1
833.2
1,219.9
4,398.0
2,045.5
834.1
1,211.4
New York
New York-Northern New Jersey-Long Island 2
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
8,604.6
8,440.6
1,024.5
1,263.9
5,110.9
1,041.1
8,647.8
8,471.2
1,034.5
1,267.5
5,138.5
1,030.7
8,667.5
8,504.9
1,038.3
1,274.0
5,159.0
1,033.6
Pennsylvania
Philadelphla-Camden-Wilmington 2
5,715.0
2,792.8
544.0
1,897.5
351.4
5,789.4
2,812.5
554.6
1,900.3
357.6
5,779.3
2,821.0
557.0
1,905.3
358.7
Camden3
Philadelphia
Wilmington 3
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
Fort Worth-Arlington
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
,
,
2,448.1
1,670.8
90.7
154.2
76.7
120.4
103.2
133.7
134.3
9,585.9
9,725.8
9,739.3
2,734.9
1,933.0
801.9
2,763.9
2,771.5
1,959.6
811.9
2,733.2
1,616.4
1,357.3
259.1
2,821.3
1,673.0
1,406.1
1,954.0
809.9
266.9
See footnotes at end of table.
154.4
76.6
120.5
103.5
136
2,811.4
1,670.2
1,403.4
266.8
Nov.
2005
Dec.
2004
22.9
4.6
4.0
.6
1.4
1.2
.2
>
( 1>)
(
(
.4
9.1
1.6
(1)
{
V
(
( >
(« >
( >
1>
( )
1>
4
(
(i >
1>
( )
(4)
V
>
>
(1)
9.4
(1)
0)>
(
(
(
(! >
( >
( >
(
(')
9.0
1.7
1.3
.4
( )
>
8.5
<!>
(
>
0)
9.3
(1)
1.7
(1)
1.9
1.0
.8
(])
>
(
( }
(
(>
}
(1)
8.2
(
1>
( )
5.9
6.5
(<!>
( >
( >
( 1>)
18.6
< • ; >
(
( 1>)
(
>
>
( )
(
(
i>
(1)
9.0
1.6
1.2
.4
1
• >
18.4
(J)
(
( 1>)
157.9
(
.5
(4)
.9
( 1>)
154.4
3>>
.2
6.5
.6
4
2.0
1.1
18.4
<!>
(
( >
.5
0)1.7
5.7
(
(
6.6
.6
( )
7.8
(
( )
<( 1 ) >
>
( )
6.8
.5
( )
23.2
4.8
4.1
.7
1.4
1.2
.2
23.5
4.8
4.1
.7
1.4
1.2
.2
<i>
(
(
4
Dec.
2005 P
158.6
(
( 1>)
9.1
1.7
1.3
.4
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers In thousands)
Manufacturing
Construction
State, area, and division
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
863.5
235.3
141.0
94.3
113.1
70.0
43.1
937.1
247.7
149.5
98.2
121.4
76.7
44.7
931.5
246.3
149.1
97.2
119.4
75.0
44.4
1,528.6
662.5
478.2
184.3
144.7
99.9
44.8
1,532.7
656.3
472.3
184.0
146.2
100.4
45.8
District of Columbia
Washington-Arlington-Alexandria 2
Bethesda-Frederlck-Gaithersburg 3
Washington-Arlington-Alexandria 2
12.0
179.1
40.7
138.4
12.2
188.9
42.2
146.7
12.1
187.0
41.2
145.8
2.5
65.0
21.5
43.6
2.5
66.4
21.0
45.4
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
507.5
131.8
50.0
43.7
38.1
533.5
137.5
53.1
43.6
40.8
532.6
138.0
53.6
43.7
40.7
387.1
99.8
29.4
50.6
19.8
392.5
99.9
31.5
49.4
19.0
Illinois
Lake County-Kenosha County 2
263.2
217.3
176.4
19.0
20.2
277.2
225.9
181.8
19.9
22.3
266.6
219.5
176.3
19.3
22.0
699.5
504.5
404.2
38.3
62.1
692.9
496.2
396.6
38.2
61.4
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Blllerica-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
139.9
101.9
64.2
4.9
7.3
5.2
7.4
3.9
6.1
146.0
104.9
65.9
5.3
7.7
5.7
7.7
3.9
6.2
142.4
102.3
64.2
5.0
7.4
5.5
7.7
3.8
6.1
313.8
232.4
114.9
8.2
24.4
11.3
20.2
12.7
26.0
313.5
232.9
114.9
8.3
24.6
11.3
20.8
12.7
26.0
184.4
85.1
26.4
58.7
194.3
90.5
29.0
61.5
183.4
87.2
27.9
59.3
694.8
298.9
112.5
186.4
670.7
290.1
109.1
181.0
New York
New York-Northern New Jersey-Long Island 2
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
320.2
338.1
47.8
67.3
179.8
43.2
334.5
344.0
49.3
69.2
181.3
44.2
323.4
338.5
48.5
67.8
178.1
44.1
591.8
495.5
82.6
89.3
231.0
92.6
577.9
483.5
81.3
88.7
224.4
89.1
Pennsylvania
Philadelphia-Camden-Wilmington 2
244.3
124.8
25.6
78.5
20.8
260.9
128.8
25.8
81.3
21.7
249.7
126.2
25.2
79.4
21.6
691.0
234.1
46.7
162.1
25.4
675.8
229.0
46.2
157.3
25.5
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-Irvlng
Fort Worth-Arlington
538.2
157.0
107.0
50.0
556.0
160.8
109.0
51.8
555.4
161.0
109.2
51.8
888.1
294.3
197.0
97.3
892.1
296.5
197.6
98.9
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
161.8
95.3
76.0
19.3
180.6
103.9
82.5
21.4
176.8
102.6
81.5
21.1
264.5
166.5
147.2
19.3
272.5
174.3
154.9
19.4
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary3
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearbom
Warren-Farmington Hills-Troy
Camden3
Philadelphia
Wilmington 3
,
,
See footnotes at end of table.
1.37
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. 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
Nov.
2005
Nov.
2005
Dec.
2005 P
2,863.8
1,076.9
802.5
274.4
369.8
200.3
169.5
2,847.6
1,075.0
800.0
275.0
366.9
198.5
168.4
2,879.6
1,085.9
808.0
277.9
373.3
202.6
170.7
479.1
236.4
203.2
33.2
74.3
30.4
43.9
484.0
247.8
215.2
32.6
72.0
30.2
41.8
485.7
249.3
216.9
32.4
72.1
30.3
41.8
28.8
415.9
87.0
329.0
28.9
420.7
85.9
334.8
29.4
426.3
87.4
338.9
23.1
107.6
17.4
90.2
23.3
107.8
17.6
90.2
23.5
107.5
17.6
89.9
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
1,560.3
531.9
166.9
258.8
106.2
1,567.9
529.4
169.0
254.9
105.5
1,597.2
539.1
171.4
258.9
108.8
169.8
59.0
19.3
28.6
11.1
169.9
58.7
19.4
28.2
11.1
170.5
58.6
19.4
28.1
11.1
Illinois
1,216.1
935.5
788.4
60.8
86.4
1,210.9
931.9
783.1
61.3
87.5
1,226.2
943.8
793.6
61.9
88.3
119.1
93.8
85.9
2.4
5.5
117.3
93.0
85.1
2.4
5.5
117.4
93.2
85.2
2.4
5.6
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelrnsford 2
Lynn-Peabody-Salem
Nashua 2
593.9
441.2
265.4
22.2
32.2
15.9
22.0
23.9
32.2
585.9
433.6
262.4
22.0
31.3
16.0
21.6
23.3
32.1
593.7
439.9
265.3
22.2
32.1
16.1
21.6
23.8
32.6
85.9
72.1
52.0
1.1
7.0
1.0
5.8
1.5
2.0
84.0
70.8
51.0
1.1
7.0
1.0
5.5
1.5
2.0
84.1
70.9
51.1
1.1
7.0
1.0
5.6
1.5
2.0
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearbom
Warren-Farmington Hills-Troy
832.1
393.3
161.8
231.5
817.6
386.2
159.7
226.5
824.3
390.7
161.2
229.5
66.7
35.5
15.1
20.4
63.9
34.3
14.0
20.3
64.0
34.2
14.0
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
1,550.2
1,649.9
233.8
286.6
905.0
224.4
1,530.2
1,626.2
231.6
281.9
893.1
219.6
1,552.4
1,650.9
235.3
287.5
905.9
222.2
274.2
292.5
31.6
29.3
205.6
25.9
272.4
291.7
34.1
29.1
203.1
25.4
273.9
294.1
34.1
29.6
205.0
25.4
Pennsylvania
Philadelphia-Camden-Wilmington
Camden 3
Philadelphia
Wilmington 3
1,161.7
557.0
128.5
360.2
68.4
1,162.4
554.5
129.0
355.0
70.5
1,174.2
562.8
131.0
360.6
71.2
110.9
55.9
8.1
41.6
6.3
108.0
54.7
7.7
41.0
6.0
107.4
54.8
7.8
41.0
6.0
2,004.6
609.0
413.1
195.9
2,006.1
601.8
409.4
192.4
2,024.1
606.8
412.6
194.2
226.8
92.3
74.8
17.5
232.4
93.2
76.0
17.2
232.0
93.2
75.9
17.3
541.5
323.4
271.7
51.7
550.0
325.8
272.7
53.1
552.8
329.8
276.1
53.7
92.4
75.1
72.0
3.1
95.5
78.1
75.1
3.0
95.6
78.1
75.1
3.0
Dec.
J
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
District of Columbia
Washington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3
Lake County-Kenosha County 2
2
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
Fort Worth-Arlington
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
,
,
2004
See footnotes at end of table.
138
Dec.
2004
*
Dec.
2005 P
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
Professional and business services
Financial activities
State, area, and division
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
,
San Francisco-San Mateo-Redwood City
917.9
378.1
245.0
133.1
158.0
68.4
89.6
925.3
378.8
246.2
132.6
161.7
71.2
90.5
929.4
379.6
246.7
132.9
162.2
71.7
90.5
2,141.5
837.0
570.5
266.5
325.1
148.1
177.0
2,169.7
848.1
572.3
275.8
325.5
148.6
176.9
District of Columbia
Washington-Ariington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
30.4
157.7
43.8
114.0
30.8
162.0
44.8
117.2
30.9
162.5
45.1
117.4
144.8
628.9
116.4
512.5
148.1
647.9
121.4
526.5
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
507.4
170.8
61.9
69.1
39.8
517.4
174.5
64.0
70.3
40.2
518.7
174.9
64.3
70.2
40.4
1,328.8
398.9
120.6
162.5
115.8
1,402.9
413.8
129.4
165.9
118.5
Illinois
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3 '
Lake County-Kenosha County 2
400.5
324.7
292.1
10.2
22.5
405.2
327.9
294.5
407.3
329.0
806.9
689.1
295.4
10.2
23.2
10.3
23.3
611.3
23.0
54.9
837.7
722.5
642.4
23.3
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
219.5
182.4
150.7
3.4
4.8
2.9
4.3
5.1
8.1
218.6
182.5
152.3
3.2
4.7
3.0
4.3
5.0
8.3
220.1
183.5
153.2
3.2
4.7
3.0
4.3
5.1
8.4
457.0
380.5
465.3
286.6
290.6
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearborn
Warren-Farmington Hills-Troy
218.3
116.5
36.7
79.8
217.8
116.4
37.8
78.6
218.4
116.7
37.8
78.9
581.4
355.0
126.1
228.9
591.9
355.6
126.8
228.8
New York
New York-Northern New Jersey-Long Island 2
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
708.4
778.7
63.8
83.8
548.9
82.2
716.8
787.1
719.6
789.8
64.7
83.3
1,069.4
1,239.2
167.2
157.8
753.0
161.2
1,090.5
1,246.9
162.9
160.7
767.0
156.3
Pennsylvania
Philadelphia-Camden-Wilmington 2
Camden 3
Philadelphia
Wilmington 3
335.4
218.6
35.7
144.7
38.2
337.8
219.4
36.1
144.8
38.5
339.2
220.2
36.2
145.5
642.9
406.7
70.5
278.3
57.9
659.8
416.3
75.3
282.3
58.7
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
Fort Worth-Arlington
600.6
216.4
170.9
45.5
607.4
217.9
171.5
608.9
1,127.6
383.8
46.4
46.7
1,092.4
374.8
289.6
85.2
152.2
103.8
89.9
13.9
155.0
104.8
154.9
104.9
91.0
13.9
306.2
209.4
187.0
22.4
322.1
222.1
197.9
24.2
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
,
.,,
64.3
83.2
557.8
81.8
90.9
13.9
See footnotes at end of table.
139
559.5
82.3
38.5
218.0
171.3
8.4
28.7
6.4
16.2
9.8
13.1
56.8
386.9
8.8
29.5
6.4
16.7
10.0
13.6
294.9
88.9
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
Education and health services
State, area, and division
Leisure and hospitality
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
1,583.4
607.1
476.6
130.5
220.2
119.8
100.4
1,609.7
616.0
483.3
132.7
228.7
126.0
102.7
1,608.9
616.6
483.7
132.9
228.2
126.1
102.1
1,448.6
535.0
372.4
162.6
195.9
81.7
114.2
1,479.4
545.2
382.1
163.1
200.5
83.8
116.7
District of Cofumbia
Washington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
93.7
307.1
69.1
238.1
99.1
318.1
70.7
247.4
96.8
316.2
70.8
245.4
51.8
242.4
54.5
255.0
47.8
207.2
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
939.5
298.2
84.9
136.5
967.9
307.1
971.6
309.3
867.7
246.8
88.7
138.1
80.3
89.3
139.4
78.1
101.0
80.6
57.7
66.7
Illinois
735.7
549.6
745.9
503.8
384.4
518.8
39.6
558.5
478.0
40.0
40.5
744.7
557.4
477.0
40.0
40.4
594.6
443.3
334.1
13.6
18.7
12.1
13.0
17.8
15.5
599.3
447.1
336.9
13.8
19.0
12.2
13.1
18.2
16.1
598.5
447.0
336.5
13.8
19.1
12.3
13.1
18.2
16.0
285.6
204.0
138.4
7.9
10.9
7.1
9.9
9.5
10.0
290.3
558.2
258.1
116.3
141.8
563.7
262.2
117.0
145.2
559.7
260.1
115.4
144.7
393.2
398.2
179.9
77.0
99.6
102.9
New York
New York-Northern New Jersey-Long Island 2
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
1,557.0
1,386.2
131.3
201.9
912.7
140.4
1,585.0
1,416.5
138.7
204.7
933.1
140.0
1,585.4
1,418.8
139.3
205.5
933.3
140.7
661.8
612.5
670.8
626.3
77.5
95.7
387.3
65.8
Pennsylvania
Philadelphia-Camden-Wilmington 2
Camden 3
Philadelphia
Wilmington 3
1,017.1
497.9
75.0
380.4
1,044.1
509.1
78.3
388.1
42.7
1,040.5
508.0
78.7
386.7
468.1
211.8
40.3
143.2
28.3
480.1
215.1
41.4
143.6
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
.
Fort Worth-Arlington
1,161.0
277.2
191.1
86.1
1,184.7
280.1
193.5
1,186.0
281.7
194.8
873.6
248.2
172.2
76.0
893.2
253.4
324.3
179.8
141.3
38.5
335.2
188.0
148.9
39.1
334.8
187.7
148.7
39.0
250.7
144.9
120.4
24.5
259.5
151.7
126.2
25.5
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3
Lake County-Kenosha County 2
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearbom
Warren-Farmington Hills-Troy
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
....
76.8
469.8
40.2
:...
42.6
86.6
See footnotes at end of table.
42.6
140
46.5
195.9
321.4
31.2
31.9
177.6
78.0
74.6
94.2
380.1
63.6
889.7
245.8
76.1
103.0
392.2
326.9
31.3
34.0
211.0
141.5
8.3
11.1
7.1
10.1
9.7
10.3
30.1
176.7
76.7
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-13. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division—Continued
(Numbers in thousands)
Government
Other services
State, area, and division
Dec.
2004
Dec.
2005 P
Nov.
2005
Dec.
2004
!
Nov.
2005
2,439.6
743.8
586.9
156.9
310.4
178.9
131.5
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
OaWand-Fremont-Hayward
San Francisco-San Mateo-Redwood City
506.0
192.1
144.9
47.2
73.1
36.6
36.5
508.7
194.8
146.5
48.3
73.0
36.0
37.0
509.5
194.5
146.3
48.2
73.4
36.2
37.2
2,400.6
738.9
584.8
155.1
305.7
176.2
129.5
District of Columbia
Washington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Ariington-Alexandria 2
59.2
166.9
30.4
136.6
60.6
171.3
30.9
140.4
60.6
172.4
31.2
141.2
230.3
631.8
94.8
537.1
229.7
640.8
95.6
545.2
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield Beach
Miami-Miami Beach-Kendall
,
West Palm Beach-Boca Raton-Boynton Beach
323.2
98.5
29.9
44.3
24.3
326.2
99.9
29.9
45.9
24.1
327.3
100.3
30.3
45.8
24.2
1,096.9
321.0
99.9
156.0
65.1
1,117.6
324.7
102.2
156.7
65.8
Illinois
257.7
194.5
169.1
12.4
13.1
256.5
198.0
172.7
12.1
13.2
257.2
197.6
172.2
12.2
13.2
851.2
560.4
469.8
41.5
49.2
861.1
563.3
471.0
41.6
50.7
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
115.8
86.2
58.4
4.2
5.0
2.6
4.0
3.9
4.5
114.0
85.0
57.5
4.3
4.8
2.5
4.0
3.9
4.4
114.2
84.9
57.1
4.3
4.8
2.5
4.0
3.9
4.4
414.0
292.6
195.0
15.7
14.4
11.5
16.4
14.7
15.0
414.2
292.3
196.9
15.6
14.5
11.5
16.6
15.0
14.7
Michigan
177.3
95.7
42.1
53.6
181.0
97.2
42.5
54.7
181.5
96.8
42.3
54.5
708.9
243.1
126.1
117.0
703.2
240.7
120.3
120.4
356.0
351.2
40.5
51.4
214.0
45.3
358.1
353.8
41.0
52.3
214.6
45.9
359.0
354.8
41.3
52.3
215.0
46.2
1,509.9
1,296.3
151.3
202.3
780.3
162.3
1,505.1
1,295.2
153.8
202.0
776.8
162.6
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3
Lake County-Kenosha County 2
Detroit-Warren-Livonia
Detroit-Livonia-Dearborn
Warren-Farmington Hills-Troy
New York
New York-Northern New Jersey-Long Island 2
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
,
,
!
I
Pennsylvania
Philadelphia-Camden-Wilmington 2
Camden 3
Philadelphia
Wilmington 3
263.9
122.8
23.4
85.3
14.2
267.6
124.1
24.0
86.0
14.1
268.4
124.6
24.1
86.2
14.3
761.3
362.7
90.2
223.2
49.3
774.3
361.5
90.8
220.9
49.8
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
Fort Worth-Arlington
357.9
107.1
73.8
33.3
360.8
106.3
73.0
33.3
361.6
106.5
73.2
33.3
1,688.3
358.6
243.5
115.1
1,707.6
370.1
252.4
117.7
100.4
61.4
49.6
11.8
102.8
62.4
50.2
12.2
102.9
62.2
50.1
12.1
530.2
255.1
200.9
54.2
539.1
260.3
205.6
54.7
Washington
Seattle-Tacoma-Bellevue
Seattle-Bellevue-Everett
Tacoma
,
1
Natural resources and mining is combined with construction.
Part of the area is in one or more adjacent states.
Ail of the area is in one or more adjacent states.
4
Data not available.
P B preliminary.
NOTE: Data are counts of jobs by place of work. State and area data are currently
projected from 2004 benchmark levels. When more recent benchmark data are
introduced with the release of January 2006 estimates, unadjusted data from April 2004
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
http:ZAAWW.bls.gov/lau/lausmsa.htm and in the May issue of Employment and Earnings.
Areas in the six New England states are Metropolitan New England City and 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., are
totally outside the states under which their metropolitan areas are listed.
2
3
141
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry
Average overtime hours
Average weekly hours
2002
NAICS
code
Industry
Total private
Goods-producing
Natural resources and mining..
Logging
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan,
Dec.
2006 P| 2004
33.8
33.6
33.8
33.7
33.8
40,3
39.5
40.6
40.4
40.1
45,7
45.3
45.1
45.2
45.5
1133
37.4
36.9
39.6
39.8
46.2
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
2006 P
21
46.5
46.2
45.9
Oil and gas extraction
211
45.9
45.5
43.2
44.5
Mining, except oil and gas
Coal mining
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
212
2121
212111
46.2
49.5
47.8
45.6
49.9
47.6
46.3
48.6
47.8
45.1
46.8
46.6
212112,3
2122
2123
21231
212312
212311,3,<
21232
212321
21239
51.0
45.6
43.8
43.4
42.8
44.0
44.1
43.8
44.0
51.9
46.3
41.8
42.8
40.2
45.6
39.8
38.0
44.6
49.2
43.0
45.5
46.6
47.1
45.9
45.1
45.3
43.3
47.0
43.4
44.2
43.9
43.8
44.1
44.1
44.0
45.7
Support activities for mining
Support activities for oil aad gas operations..
213
213112
47.0
47.6
47.1
49.5
46.5
51.2
47.9
52.1
38.2
36.8
39.2
38.1
37.7
35.9
36.0
35.5
39.8
40.1
39.7
36.8
35.0
34.7
35.5
39.0
39.7
38.8
38.3
36.7
37.3
35.7
40.3
42.2
39.7
37.7
36.0
36.6
35.3
39.8
41.3
39.3
Heavy and civil engineering construction
237
Utility system construction
J2371
Water and sewer system construction
23711
Oil and gas pipeline construction
23712
Power and communication system construction.. 23713
Land subdivision
2372
Highway, street, and bridge construction
2373
Other heavy construction
2379
42.1
43.1
41.9
44.7
43.9
37.9
41.2
43.0
40.2
40.5
38.7
43.3
41.4
38.6
39.8
41.1
43.9
44.4
42.7
48.3
44.5
38.2
44.0
44.5
41.3
42.1
40.4
45.0
42.7
38.6
40.7
41.2
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
Drywall and insulation contractors
Painting and wall covering contractors
Flooring contractors
Tile and terrazzo contractors
Finish carpentry contractors
Other buildingfinishingcontractors
Other specialty trade contractors
Site preparation contractors
All other specialty trade contractors
37.5
35.3
36.6
38.7
33.3
33.5
37.9
34.3
39.2
39.8
38.6
39.0
36.3
35.3
36.2
37.6
39.4
35.6
39.1
38.6
39.6
37.4
36.2
33.1
34.4
37.5
30.5
31.4
37.4
32.1
38.2
38.5
37.8
39.1
35.3
34.6
36.6
34.6
37.1
34.6
35.6
37.0
37.9
35.9
38.4
37.2
39.3
39.2
33.1
36.1
39.2
37.9
38.9
39.4
38.6
38.5
37.1
37.4
36.0
37.6
38.3
36.5
38.9
41.1
42.6
39.4
37.6
35.6
37.7
40.4
32.5
33.8
37.9
34.8
39.0
39.3
38.7
38.7
37.1
37.5
36.2
37.3
37.6
36.8
38.2
38.1
38.7
37.3
41.2
40.6
41.2
41.4
40.8
4.9
4.4
4.8
4.9
4.3
41.7
41.0
41.7
41.9
41.1
5.1
4.5
4.9
5.0
4.4
40.4
41.7
40.2
41.7
40.9
42.7
40.4
42.0
39.7
4.3
6.0
4.2
6.3
4.5
6.3
4.0
6.0
Mining
Construction..
Construction of buildings
Residential building
New single-family general contractors..
Residential remodelers
Nonresidential building
Industrial building
Commercial building
236
2361
236115
236118
2362
23621
23622
238
2381
23811
23812
23813
23814
23815
23816
2382
23821
23822
23829
2383
23831
23832
23833
23834
23835
23839
2389
23891
23899
Manufacturing
Durable goods.
Wood products
Sawmills and wood preservation..
321
3211
See footnotes at end of table.
142
38.3
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
2002
NAICS
code
Industry
Total private..
Goods-producing
Natural resources and mining..
Dec.
2005 P|
Jan
2006 P|
Dec.
2004
Jan.
2005
Dec.
2004
Jan.
2005
Nov.
2005
Nov.
2005
Dec.
2005 P
$15.87
$15.99
$16.30
$16.36
$16.52
17.43
17.31
17.76
17.81
17.73
702.43
683.75
721.06!
719.52
710.97
18.45
18.52
18.90
18.90
19.24
835.79
835.25
854.28
859.95
879.27
$536.411 $537.26 $550.94 $551.33 $558.38
1133
15.54
15.16
15.91
16.23
581.20
559.40
630.04
645.95
21
18.79
18.90
19.22
19.17
873.74
873.18
882.20
885.65
Oil and gas extraction..
211
18.55
19.16
19.21
19.71
851.45
871.78
829.87
877.10
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
212
2121
212111
20.07
21.58
22.23
20.08
21.80
22.62
20.38
22.18
22.63
20.49
21.93
22.76
927.23 915.65] 943.59 924.10
1,068.21 1,087.82 1,077.95 1,026.32
1,062.59 1,076.71 1,081.71 1,060.62
212112,3
2122
2123
21231
212312
212311,3,9
21232
212321
21239
21.07
23.45
17.83
16.52
17.07
15.94
18.62
18.92
20.08
21.16
22.69
17.58
16.19
16.32
16.07
18.31
18.51
20.22
21.82
23.07
18.25
17.08
17.39
16.71
18.78
19.09
21.00
21.26
23.28
18.43
16.70
16.97
16.41
19.05
19.27
22.01
1,074.57 1,098.20 1,073.54
999.22
1,069.32 1,050.55 992.01 1,010.35
780.95] 734.84 830.38 814.61
716.97 692.93 795.93 733.13]
730.60 656.06 819.07 743.29]
701.36 732.79 766.99 723.68
821.14 728.74 846.98 840.11
828.70 703.38 864.78 847.88]
883.52 901.81
909.30 1,005.86
Support activities for mining
Support activities for oil and gas operations..
213
213112
17.68
15.93
17.70
16.17
18.18
16.14
17.90
16.15
LoggingMining
830.96
758.27
833.67
800.42
845.37
826.37
857.41
841.42
19.30
19.10
19.61
19.67
737.26
702.88
768.71
749.43
Construction of buildings
Residential building
New single-family general contractorsResidential remodelers
Nonresidential building
Industrial building
Commercial building
236
2361
236115
236118
2362
23621
23622
18.90
17.41
17.24
17.59
20.49
19.37
20.87
18.79
17.33
'7.20
17.34
20.37
19.35
20.72
19.20
17.92
18.17
17.03
20.61
19.93
20.83
19.30
17.98
18.27
16.97
20.77
20.26
20.93
712.53
625.02
620.64
624.45
815.50
776.74
828.54
691.47
606.55
596.84
615.57
794.43
768.20
803.94
735.36
657.66
677.74
607.97
830.58
841.05
826.95
727.61
647.28]
668.68
599.04
826.65
836.74
822.55
Heavy and civil engineering construction
Utility system construction
Water and sewer system construction
Oil and gas pipeline construction
Power and communication system constructionLand subdivision
Highway, street, and bridge construction
Other heavy construction
237
2371
23711
23712
23713
2372
2373
2379
18.98
19.04
19.55
19.44
18.07
16.32
19.34
18.68
18.59
18.79
18.99
19.82
17.91
16.98
18.37
19.15
19.81
19.77
20.06
18.66
20.08
17.46
20.28
19.17
19.61
19.95
19.93
19.78
20.08
17.97
19.53
19.07
799.06
820.62
819.15
868.97
793.27
618.53
796.81
803.24
747.32]
761.00]
734.91
858.21
741.47
655.43
731.13
787.07
869.66
877.79
856.56
901.28
893.56
666.97
892.32
853.07
809.89]
839.90!
805.17
890.10
857.42
693.64
794.87
785.68
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
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
Site preparation contractors
All other specialty trade contractors
238
2381
23811
23812
23813
23814
23815
23816
2382
23821
23822
23829
2383
23831
23832
23833
23834
23835
23839
2389
23891
23899
19.50
18.27
17.96
23.32
17.89
18.20
18.51
17.23
21.03
21.54
20.20
23.60
18.77
20.71
16.61
19.28
17.47
17.61
18.69
17.89
18.80
16.79
19.31
17.92
17.67
23.05
17.89
17.95
13.64
16.33
20.90
21.44
20.03
23.57
18.54
20.38
16.60
19.22
17.49
17.29
17.99
17.39
18.28
16.24
19.69
18.76
18.34
22.93
18.88
18.46
19.02
17.86
21.07
21.65
20.31
22.62
18.95
20.52
17.12
19.47
17.64
18.53
18.07
18.63
19.24
17.92
19.80
18.47
17.82
22.70
19.10
18.05
19.32
17.64
21.32
21.99
20.50
22.83
19.04
20.51
17.18
19.84
18.04
18.32
18.38
18.63
19.14
18.00
731.25
644.93
657.34
902.48
595.74
609.70
701.53
590.99
824.38
857.291
779.72
920.40!
681.351
731.06
601.281
724.93
688.32
626.92
730.78
690.55
744.48
627.95
699.02
593.15
607.85
864.38
545.65
563.63
697.14
524.19
798.381
825.44
757.13
921.59
654.46
705.15
607.56
665.01
648.88
598.23]
640.44
643.43
692.811
583.02!
756.10
697.87
720.76
898.86
624.93
666.41
745.58
676.89
819.62
853.01 ]
783.97
870.87
703.05
767.45
616.32
732.07
675.61
676.35
702.92
765.69
819.62
706.05
744.48
657.53
671.81
917.08
620.75I
610.09|
732.23
613.871
831.48
864.21
793.35
883.52|
706.38
769.13!
621.92
740.03
678.30
674.18
702.12]
709.80
740.72
671.40
16.46
16.42
16.70
16.81
16.77
678.15
666.65
688.04
695.93
17.22
17.14
17.54
17.67
17.58
718.07
702.74
731.42
740.37
13.18
14.01
13.14
14.11
13.32
14.04
13.20
14.22
13.17
532.47
584.22
528.23 i 544.79
588.39 599.51
533.28
597.24
Construction-
Manufacturing
Durable goodsWood products
Sawmills and wood preservation..
321
3211
See footnotes at end of table.
143
19.51
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly hours
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
3212
321211,2
321213,4
3219
32191
321911
42.5
42.1
42.4
39.1
39.0
40.4
41.9
41.3
41.6
38.9
38.6
39.4
40.4
39.0
42.3
40.4
39.6
40.6
321912,8
32192
32199
321991
37.6
37.3
40.5
41.0
37.8
38.1
40.0
40.0
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 mineral
products..;
327
3271
32711
32712
3272
42.1
41.5
37.3
45.1
43.3
327211,2
327215
3273
32732
32731,3,9
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.
Fabricated structural metal products
Plate work
Ornamental and architectural metal productsMetal 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
nonprecious engraving
Electroplating, anodizing, and coloring metals..
Other fabricated metal products
Metal valves
Fluid power valves and hose fittings
Durable goods-Continued
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
Dec.
2004
Jan.
2005
Nov.
2005
40.1
40.9
40.9
39.8
38.7
38.1
5.0
4.5
5.9
3.4
3.4
4.0
4.5
3.8
5.6
3.2
3.2
3.3
4.1
3.6
5.1
4.0
3.8
3.7
3.8
4.0
4.3
3.3
3.0
1.9
38.6
37.2
43.4
43.0
39.2
36.2
43.5
44.1
2.8
2.8
3.9
3.7
3.1
3.0
3.5
3.7
3.8
1.1
5.9
5.4
4.1
0.7
5.3
5.1
40.9
42.5
38.7
45.6
42.5
44.2
42.4
39.5
44.6
41.6
42.6
41.5
37.8
44.4
41.7
6.1
5.8
5.4
6.2
4.3
5.5
5.1
4.4
5.7
4.0
7.2
6.0
5.4
6.5
3.8
6.1
5.6
4.1
6.7
4.2
42.8
44.7
41.5
40.4
42.7
41.0
44.5
39.5
38.0
41.1
41.4
41.9
46.3
48.7
43.2
40.9
42.6
43.3
45.4
40.8
5.5
3.2
7.0
7.0
7.0
4.6
3.3
6.4
6.2
6.7
4.2
2.5
9.1
11.1
6.5
4.0
3.8
7.2
8.7
5.3
3274,9
42.9
41.2
42.8
42.5
6.1
5.2
6.8
6.0
331
3311
3312
33121
33122
3313
3314
33142
33149
3315
33151
331511
331512,3
33152
43.4
45.3
41.9
40.5
43.1
42.9
44.2
44.2
43.9
42.7
43.5
44.6
41.4
41.5
43.3
45.5
42.9
41.5
44.1
42.1
43.9
44.2
42.5
42.5
43.8
44.8
41.9
40.9
43.7
46.1
43.1
41.1
44.6
43.5
43.7
44.5
40.8
42.8
43.5
44.7
41.2
41.9
44.0
45.3
44.0
43.9
44.1
45.0
43.1
43.6
40.6
43.3
44.3
45.8
41.5
41.9
43.9
6.4
6.7
6.0
5.8
6.1
5.7
6.8
6.2
7.4
6.5
7.4
7.9
6.4
5.3
6.2
6.9
6.2
6.0
6.4
4.9
6.2
5.8
6.3
6.3
7.5
7.5
7.5
4.9
6.8
7.5
5.5
6.1
5.1
6.9
7.1
7.6
5.1
6.6
7.1
7.5
6.5
5.8
7.1
7.5
7.2
9.7
5.3
7.2
7.0
7.0
5.9
6.8
7.4
7.8
6.6
6.0
332
3321
332111
332116
3322
332212
3323
33231
332312
332313
33232
332321
332322
332323
3324
3325
3326
3327
33271
33272
332721
332722
3328
41.6
41.5
42.8
40.3
42.1
42.5
40.3
40.9
42.0
40.7
39.9
41.4
39.1
38.8
43.8
40.6
41.4
42.1
41.9
42.6
41.5
43.8
40.2
41.0
41.5
44.7
39.9
40.9
41.2
39.6
39.2
40.9
38.8
39.9
41.0
39.3
39.5
41.9
40.5
40.4
41.8
41.4
42.8
41.6
44.2
39.5
41.5
41.3
42.7
40.7
41.0
41.9
41.3
42.8
42.3
44.8
40.2
40.2
40.7
39.0
42.6
41.3
41.9
41.8
41.6
42.5
42.6
42.4
40.6
41.8
39.9
41.0
41.1
42.3
43.6
40.9
42.1
41.3
44.9
40.1
39.7
40.9
38.4
43.4
41.2
42.6
42.6
42.1
44.1
43.7
44.5
41.7
41.4
4.8
5.2
6.3
4.3
4.8
4.6
3.9
4.1
5.0
3.6
3.7
4.4
3.2
3.8
5.6
3.4
5.0
5.3
5.3
5.2
5.2
5.3
4.3
4.3
4.9
6.3
4.2
4.4
4.5
3.4
3.2
4.1
2.6
3.6
3.9
3.0
4.4
4.5
3.2
4.4
4.9
4.8
5.3
5.1
5.5
3.6
4.9
5.2
7.7
3.7
4.2
4.9
4.7
6.1
5.2
6.8
3.7
3.8
3.4
4.1
5.4
4.2
5.6
5.7
5.7
5.7
5.7
5.8
3.8
5.2
4.6
6.0
4.9
4.9
4.8
4.8
5.9
4.5
6.9
3.9
3.8
4.2
3.2
5.8
4.4
6.6
6.2
6.2
6.1
5.5
6.7
4.5
332811,2
332813
3329
33291
332912
40.2
40.2
43.0
41.2
42.1
39.6
39.5
42.7
41.7
42.1
40.7
40.6
41.7
42.1
43.8
40.9
42.4
42.1
42.6
43.5
3.7
4.9
5.5
4.6
5.6
3.1
4.1
4.8
4.1
5.3
4.1
3.5
4.4
4.2
5.3
4.4
4:5
4.8
4,2
5.1
See footnotes at end of table.
Average overtime hours
144
Jan.
2006 P|
42.0
Dec.
2 0 0 5 P]
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—-Continued
Average hourly earnings
2002
NAICS
code
Industry
Average weekly earnings
Dec.
2004
Jan.
2005
Nov.
2005
3212
321211,2
321213,4
3219
32191
321911
$13.20
14.18
12.40
12.81
13.71
14.34
$13.00
13.81
12.34
12.76
13.58
14.37
$13.09
13.87
12.31
13.09
13.59
14.01
$12.95
14.02
11.94
12.86
13.32
13.80
321912,8
32192
32199
321991
13.06
11.05
12.51
13.29
12.79
11.04
12.55
13.07
13.16
10.28
13.75
14.29
12.86
10.52
13.30
13.76
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 mineral
products
327
3271
32711
32712
3272
16.37
15.22
13.87
16.19
16.80
16.29
15.16
14.01
15.97
16.96
16.55
14.42
13.89
14.76
17.49
16.51
14.65
14.14
14.99
17.78
327211,2
327215
3273
32732
32731,3,9
18.67
14.56
16.35
17.20
15.40
18.65
14.92
16.13
16.85
19.30
14.77
16.66
17.43
15.55
19.44
15.20
16.29
17.01
15.31
3274,9
16.72
16.94
331
3311
3312
33121
33122
3313
3314
33142
33149
3315
33151
331511
331512,3
33152
18.75
22.83
17.43
16.81
17.90
16.36
19.86
20.38
18.52
17.35
19.20
20.86
15.55
14.84
16.67
18.84
23.49
17.12
'6.86
16.59
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
19.17
23.63
17.85
18.75
17.17
16.29
20.44
21.05
18.03
17.94
19.09
20.98
15.22
16.22
19.36
'7.32
16.21
19.56
20.06
18.13
17.51
19.46
21.33
15.55
14.90
19.21
23.97
17.71
18.25
17.34
16.20
20.51
21.26
17.95
17.86
18.98
20.92
15.08
16.21
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 ,
Fabricated structural rnetal 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
nonprecious engraving
Electroplating, anodizing, and coloring metals.
Other fabricated metal products
Metal valves
Fluid power valves and hose fittings
332
3321
332111
332116
3322
332212
3323
33231
332312
332313
33232
332321
332322
332323
3324
3325
15.59
15.94
18.02
14.90
15.52
15.19
14.98
15.51
15.40
16.13
14.59
13.68
15.17
14.94
17.21
15.30
14.88
16.24
16.30
16.07
15.55
16.60
13.30
15.55
16.03
17.79
15.17
15.40
15.04
14.87
15.26
15.31
15.85
14.59
13.65
15.25
14.83
17.16
15.30
15.16
16.13
16.18
16.00
15.45
16.56
13.22
16.01
16.72
18.92
15.05
15.40
14.70
15.24
16.05
15.96
16.68
14.61
13.33
15.35
15.22
18.02
16.56
15.00
16.66
16.74
16.42
16.01
16.86
13.38
16.18
16.75
18.67
15.53
15.31
14.62
15.51
16.02
16.07
16.31
15.10
13.86
15.80
15.71
18.13
16.72
15.68
16.81
16.90
16.57
16.00
17.17
13.45
16.08
13.49
13.13
16.32
16.39
17.79
13.35
13.10
16.35
16.36
17.84
14.03
12.81
16.97
17.08
18.75
14.05
12.95
17.10
17.00
18.66
Durable goods-Continued
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
3326
3327
33271
33272
332721
332722
3328
332811,2
332813
3329
33291
332912
15.42
Jan
2006 P|
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$561.00 $544.70 $528.84 $519.30
596.98 570.35 540.93 573.42
525.76 513.34 520.71 488.35
500.87 496.36 528.84 511.83
534.69 524.19 538.16 515.48
579.34 566.18 568.81 525.78
$16.44
491.061
412.17
506.66
544.89|
483.46
420.62
502.00
522.80
507.98
382.42
596.75
614.47
504.11
380.82
578.55
606.82
689.18
631.63
517.35
730.17
727.44
666.26
644.30
542.19
728.23
720.80
731.51
611.41
548.66
658.30
727.58
703.33] $690.48
607.98!
534.49
665.56]
741.43]
799.08
650.83]
678.53
694.88
657.58J
764.65]
663.94]
637.14
640.30
633.76]
799.02
618.86
771.36
848.84
671.76
795.10
647.52
705.36
772.25
624.65
717.29
686.80
710.05
719.95]
813.75 815.77 839.48 843.48
1,034.20 1,068.80 1,105.02 1,070.44
730.32 734.45 763.30 785.40
699.69 750.08 823.13
680.81
771.49 763.81 773.36 757.20
701.84 682.44 704.70 733.05
858.68 896.29 880.96
877.81
900.80 886.65 946.07 917.78
813.03 770.53 732.36 732.02
740.85 744.18 764.41 776.80
835.20 852.35 825.63 845.69
930.36 955.58 935.12 960.88
643.77 651.55| 621.30 631.63
679.20 679.62]
615.86 609.41
648.54 637.55] 664.42
661.51
665.25 690.54
807.88
771.26 795.21
600.47 605.28 612.54
653.39 629.86] 631.40
645.58 619.65] 615.93
603.69! 588.85 629.41
634.36! 598.19 686.94
646.80' 626.18 675.11
656.49 614.98 747.26
582.141 582.14 587.32
566.351 559.65 535.87]
593.15! 599.33 624.75
579.67 585.79 593.58
753.80! 719.00 767.65
621.18] 619.65 683.93)
616.03 612.46 628.50
683.70 674.23 696.39
682.97 669.85 696.38
684.58] 684.80 697.85]
645.33 642.72 682.03
727.081 731.95 714.86
534.66 522.19 543.23
542.30
527.83
701.76
675.27
748.96
528.66
517.45
698.15]
682.21
751.06]
571.02 j
520.09
707.65
719.07
821.25
676.32
668.33
765.47
638.28
647.61
637.43
634.36
674.44
663.69
732.32
605.51
550.24
646.22
603.26]
786.84
688.86
667.97
716.11
711.49
730.74
699.20!
764.07
560.87
574.65
549.08
719.91
724.20
811.71
J.
J.
See footnotes at end of table.
Dec
2005 P]
145
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
4.4
6.0
6.2
3.7
5.2
5.3
3.5
4.5
6.9
3.8
5.1
7.7
6.6
5.5
4.1
4.8
5.6
5.4
4.8
5.3
4.0
6.8
3.4
5.0
5.1
3.8
4.3
4.1
5.7
3.2
5.0
6.1
3.2
3.2
5.6
4.6
3.4
5.3
6.4
3.0
3.0
6.1
4.7
4.3
42.3
44.2
44.3
41.8
41.2
42.0
41.8
42.4
43.8
3.8
4.9
4.6
6.3
6.6
7.5
6.0
5.5
6.8
3.4
4.0
3.5
5.3
6.5
4.8
5.4
4.3
5.9
4.0
4.7
5.0
5.6
6.4
4.2
6.0
5.1
4.9
4.8
5.6
6.0
5.3
5.5
5.6
5.1
5.4
5.2
41.5
42.3
45.3
43.4
42.6
44.8
6.4
5.3
5.6
5.8
5.3
5.7
4.8
4.4
5.1
5.1
5.0
5.5
42.9
43.2
43.3
42.1
45.7
42.1
41.3
41.6
45.7
42.6
44.1
41.9
5.0
5.5
7.2
5.1
4.6
5.0
6.0
5.4
5.8
3.7
4.2
4.6
6.3
4.6
7.0
5.1
40.4
40.3
43.2
39.7
39.6
41.0
40.9
38.1
41.8
40.9
38.1
42.4
4.1
3.5
3.8
4.1
4.8
3.8
4.7
4.9
33422
3343
3344
334412
334413
334418
334411,4,5,6|
7,9
3345
33451
43.8
40.9
39.7
41.4
38.0
39.3
41.9
40.1
39.4
39.1
38.9
38.2
41.2
39.0
41.3
40.5
42.0
40.5
41.7
39.0
40.9
40.9
41.2
39.8
5.5
4.2
3.2
3.2
4.6
4.7
5.4
3.3
4.2
3.6
5.2
2.8
4.9
4.6
5.5
3.7
5.0
5.5
5.6
3.5
41.6
40.0
41.7
40.7
39.2
38.8
41.1
41.3
43.8
41.1
41.8
43.3
4.1
3.3
3.6
2.7
4.6
3.2
4.5
3.6
334511
334513
334515
334517
334514,6,8,9|
39.5
36.1
38.9
43.9
41.1
39.4
35.8
38.9
43.9
40.0
41.5
36.3
42.8
42.5
42.4
42.0
38.8
42.5
44.2
42.6
3.5
2.0
2.0
2.9
1.8
2.2
3.6
1.5
6.1
4.1
3.2
5.4
40.8
40.7
42.1
40.3
39.4
42.0
40.6
43.6
40.6
40.7
39.8
39.6
38.2
40.2
38.9
39.5
38.7
38.7
41.6
40.8
42.7
41.1
40.7
40.5
40.5
38.4
41.6
42.4
42.1
42.5
39.8
42.1
39.6
44.3
42.7
42.1
39.2
39.0
40.5
41.5
41.2
42.8
40.7
39.6
42.4
40.7
43.7
43.0
42.1
39.6
38.9
41.3
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
332911,9
33299
332991
41.2
44.0
45.6
42.1
43.3
44.7
41.6
41.4
45.3
42.8
41.8
47.0
332992,3,4,51
332996,7,8,9|
43.7
43.5
45.2
42.3
42.5
39.9
42.2
40.0
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
333
3331
33311
333111
33312
3332
3333
333315
42.8
42.2
42.4
43.0
40.7
43.9
40.8
38.2
42.2
41.6
40.5
41.4
40.9
42.8
40.5
36.8
42.3
43.5
40.5
40.9
43.2
41.9
40.9
38.1
42.8
43.5
40.4
40.8
42.9
42.1
41.5
37.9
333311,2,4,9|
3334
333415
3335
333511
333512,3
333514
333515,6,8
3336
41.6
43.0
41.8
42.9
42.6
42.5
43.0
43.2
44.0
41.5
42.0
40.9
42.3
42.7
40.6
42.7
42.7
43.3
41.7
41.9
40.7
42.5
42.8
40.1
43.3
42.7
42.2
333612,3,8
3339
33391
43.3
43.2
44.7
42.8
42.9
45.0
333911,3
33392
333922
33399
43.0
44.3
44.5
42.2
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
334
3341
3342
Durable goods-Continued
industrial valves and other metal valves
and pipe fittings
All other fabricated metal products
Ball arid roller bearings
Small arms, ammunition, and other ordnance
and accessories
Miscellaneous fabricated metal products
Electrical equipment and appliances
335
Electric lighting equipment
3351
33511
Electric lamp bulbs and parts
33512
Lighting fixtures
3352
Household appliances
3353
Electrical equipment
335312
Motors and generators
335313
Switchgear and switchboard apparatus
335314
Relays and industrial controls
3359
Other electrical equipment and components
33593
Wiring devices
335931
Current-carrying wiring devices
All other electrical equipment and components....! 33599
See footnotes at end of table.
146
Jan
2006 P|
41.7
39.9
41.2
Dec.
2005 P|
3.3
2.4
2.4
3.2
4.1
4.0
3.7
4.1
2.3
4.8
4.0
6.5
3.5
4.8
4.0
3.9
3.0
3.6
3.2
2.9
3.3
1.6
4.5
3.4
7.7
3.7
4.3
4.0
4.1
2.8
4.6
4.2
3.3
4.5
3.9
4.7
3.5
7.0
6.0
5.2
4.5
4.5
4.2
4.6
4.0
3.7
4.1
3.6
5.2
4.1
6.6
6.8
5.0
3.8
3.6
4.2
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
$15.86
16.28
18.01
$15.77
16.34
18.03
$16.38
16.91
18.83
$16.27
17.15
19.18
332992,3,4,5)
332996,7,8,9)
18.32
15.05
18.43
15.10
19.26
15.53
19.32
15.77
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
333
3331
33311
333111
33312
3332
3333
333315
17.00
15.92
15.41
16.24
16.88
17.70
18.55
26.20
17.03
16.05
15.26
15.92
16.97
17.62
18.88
27.66
17.01
15.67
15.32
15.62
17.13
18.53
19.01
28.12
17.12
15.82
15.72
16.03
17.43
18.95
19.41
28.31
333311,2,4,!
3334
333415
3335
333511
333512,3
333514
333515,6,8
3336
16.77
15.01
14.80
18.05
18.61
18.01
17.60
18.40
18.55
16.87
14.88
14.78
18.03
18.46
18.04
17.81
18.00
18.42
16.89
14.43
15.15
17.99
18.07
17.46
17.72
19.00
19.29
17.50
14.39
14.79
18.20
17.96
17.39
18.41
18.89
19.26
697.63
645.43
618.64
774.35
792.79
765.43
756.80
794.88
816.20'
700.11
624.96
604.50
762.67
788.24
732.42
760.49
768.60
797.59
704.31
604.62
616.61
764.58
773.40
700.15
767.28
811.30
814.04
740.251
636.04
655.20
760.76
739.95
730.38
769.54
800.94
843.59)
333612,3,8
3339
33391
17.15
16.64
18.24
17.17
16.77
18.59
18.04
16.66
19.19
18.09
16.66
18.74
742.60
718.85:
815.33
734.88
719.43
836.55
748.66
704.72
869.31
785.11
709.72
839.55
333911,3
33392
333922
33399
18.61
14.77
15.14
17.20
19.02
14.65
15.00
17.39
19.46
14.65
14.91
17.03
19.18
14.63
14.84
17.24
800.23
654.31
673.73
725.84
815.96
632.88
649.50
732.12
889.32
616.77
615.78
708.45
876.53
623.24
654.44
722.36
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
334
3341
3342
17.90
21.91
17.31
18.01
22.18
17.39
18.60
23.17
18.25
18.76
23.17
18.49
723.16
882.97
747.79
715.00
878.33
712.99
760.74
882.78
762.85
767.28!
882.78]
783.98
33422
3343
3344
334412
334413
334418
334411,4,5,6)
7,9
3345
33451
!
15.57
19.55
16.73
13.53
20.96
13.67
15.61
19.79
16.96
13.79
21.24
13.61
16.13
19.89
17.00
13.45
21.30
13.55
16.22
20.60
17.28
13.71
21.73
13.94
681.97
799.60
664.18
560.14
796.48
537.23
654.06
793.58
668.22
539.19
826.24
519.90
664.56
775.71
702.10
544.73
894.60
548.78
676.37
803.40
706.75
560.74
895.28
554.81
14.13
17.70
15.21
14.02
17.46
14.68
13.68
17.91
15.00
13.56
17.97
15.81
587.81
708.00
634.26
570.61
684.43
569.58
562.25
739.68
657.00
557.32
751.15
684.57
334511
|
334513
334515
334517
334514,6,8,9
21.75
15.87
18.00
21.18
17.76
21.25
15.89
17.80
21.00
17.62
20.28
16.45
19.52
21.33
17.76
20.05
15.94
19.41
21.35
17.95
859.13
572.91
700.20
929.80
729.94
837.25
568.86
692.42
921.90
704.80
841.62)
597.14)
835.46
906.53
753.02
842.10
618.47
824.93
943.67
764.67
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
Current-carrying wiring devices
All other electrical equipment and components..
335
3351
33511
33512
3352
3353
335312
335313
335314
3359
33593
335931
33599
15.13
14.92
20.05
13.25
14.70
15.11
13.58
16.63
15.89
15.56
14.17
14.10
14.00
15.08
14.90
20.08
13.23
14.55
15.08
13.54
16.70
15.90
15.54
14.25
14.18
14.13
15.42
15.97
22.34
14.14
14.29
15.50
14.20
16.65
16.37
15.85
14.47
14.49
16.12
15.52
16.22
22.56
14.29
14.22
15.76
14.39
17.07
16.66
15.84
14.90
15.10
15.65
617.30
607.24
844.11
533.98)
579.18
634.62
551.35
725.07
645.13
633.29
563.97
558.36
534.80
606.22
579.61
793.16)
512.00
563.09
627.33
552.43
713.09
653.49
632.48
577.13
574.29
542.59
641.47
677.13
940.51
600.95
568.74
652.55
562.32
737.60
699.00
667.29
567.22
565.11
652.86
644.08
668.26
965.57
581.60
563.11
668.22
585.67
745.96
716.38
666.86
590.04
587.39
646.35
Durable goods-Continued
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
332911,9
33299
332991
i
See footnotes at end of table.
147
Dec,
2005 P|
Jan
2006 P|
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
$653.43 $663.92) $681.41 $696.36
716.32 707.52! 700.07 716.87
821.26 805.94! 853.00 901.46!
800.58
654.68
$17.23
18.80
15.42
833.04
638.73
818.55)
619.65
815.30
630.80
727.60 718.67 719.52 732.74 $718.49
671.82 667.68 681.65 688.17
653.38 618.03 620.46 635.09
698.32 659.09 638.86 654.02
687.02 694.07 740.02 747.75]
797.80!
777.03 754.14 776.41
756.84 764.64 777.51 805.52)
1,000.84 1,017.89 1,071.37 1,072.95
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
Durable goods-Continued
Transportation equipment..
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
2006 P|
Dec.
2004
Jan.
2005
Nov.
2005
Dec. I
2005 P
336
43.4
42.3
42.9
43.6
42.5
6.3
5.3
5.4
5.9
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
Motor homes, travel trailers, and campersMotor 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 partsMotor vehicle power train components
Motor vehicle seating and interior trim
Motor vehicle metal stamping
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
3361,2,3
3361
33611
336111
336112
33612
3362
336211
336212
336213,4
3363
33631
336312
33632
336322
33633
33635
33636
33637
33639
3364
336411
336412
336413
3366
336611
336612
43.5
44.8
45.7
46.5
44.4
39.4
41.6
43.3
41.3
40.2
43.5
43.9
45.4
42.1
43.1
45.8
46.8
39.2
43.5
42.5
43.6
42.7
45.1
43.8
42.3
44.1
39.8
42.3
43.1
43.9
45.0
41.7
39.1
41.9
44.3
40.7
40.1
42.2
43.2
44.3
41.6
42.3
44.6
46.1
37.6
41.5
40.7
42.3
41.9
43.4
42.1
41.6
43.4
39.2
42.6
42.5
42.9
43.3
42.3
40.2
42.0
43.8
41.4
40.6
42.8
44.6
46.1
42.8
43.9
45.5
44.9
38.4
41.2
41.6
43.9
43.3
45.4
44.6
44.4
45.8
42.6
43.3
43.7
44.2
44.4
43.8
40.8
42.7
43.7
41.2
42.6
43.3
45.9
47.5
42.7
43.5
46.5
44.8
38.5
41.5
42.7
44.0
44.1
44.7
44.7
45.5
47.9
42.5
42.0
6.5
7.9
8.8
9.1
8.3
2.5
4.3
5.6
4.4
3.0
6.4
7.3
7.8
5.1
5.5
5.4
5.9
6.7
7.0
6.1
2.0
4.5
6.1
3.2
3.7
5.4
6.1
6.2
4.7
4.9
5.2
5.0
5.3
5.6
4.7
3.3
5.8
8.9
2.6
4.4
5.2
6.2
6.6
4.8
5.5
6.0
6.3
6.5
7.4
5.1
4.7
6.0
9.0
3.0
4.7
5.9
7.1
7.6
5.2
5.6
9.1
4.0
7.0
5.3
6.5
5.2
7.6
7.5
5.3
6.4
3.8
8.4
2.4
5.7
4.1
5.1
3.9
5.6
6.6
5.2
6.3
3.7
6.5
2.3
4.9
4.2
6.1
5.1
7.7
6.6
5.5
6.2
4.6
7.4
1.6
5.1
5.6
6.0
5.7
6.8
6.6
5.5
6.0
4.9
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
337
3371
33711
33712
337121
337122
40.6
40.9
40.8
40.9
41.6
40.7
39.4
39.7
39.6
39.8
39.2
40.6
38.7
38.4
38.1
38.6
37.6
39.9
39.2
38.8
38.2
39.3
38.6
40.5
37.8
4.2
4.0
4.3
3.8
4.5
3.3
3.2
3.3
3.4
3.2
3.1
3.1
3.2
3.0
3.7
2.5
1.7
3.0
3.5
3.2
3.5
3.0
3.0
3.1
337124,5,7,9|
3372
39.8
39.5
39.5
38.6
38.0
40.6
38.6
40.9
3.5
4.3
3.4
3.0
3.1
3.8
2.9
4.2
337211,2
337215
3379
42.0
37.0
40.8
40.4
37.8
38.7
41.1
40.6
37.3
40.7
41.5
38.5
6.2
2.3
4.7
5.0
1.6
3.0
4.7
2.9
2.8
5.4
2.8
4.2
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
33999
38.8
38.4
40.7
39.1
34.2
39.0
39.9
39.8
36.6
38.0
39.1
38.6
38.7
41.4
39.3
33.1
38.5
39.1
39.3
37.8
38.2
38.1
38.8
38.4
40.9
39.2
33.3
39.1
40.0
39.2
38.4
38.1
39.0
38.9
38.3
40.4
39.0
33.6
39.5
42.0
39.6
39.7
38.9
38.6
38.6
3.4
3.7
5.0
3.8
3.1
3.8
5.0
3.8
3.4
3.5
3.9
4.3
3.4
3.4
3.6
4.2
3.1
4.2
2.7
1.4
3.2
3.2
2.6
2.7
2.7
1.5
3.2
2.4
3.4
6.6
2.5
2.0
4.1
2.7
3.4
6.7
3.1
1.2
4.5
2.5
40.3
39.9
40.4
40.7
40.2
4.5
4.2
4.6
4.8
39.4
39.9
43.6
44.3
36.9
44.1
33.8
40.3
39.9
38.8
40.5
40.7
38.8
38.7
41.5
43.1
44.5
36.4
42.8
33.0
39.6
39.9
37.9
41.0
39.2
36.5
39.5
41.0
42.9
43.1
34.6
44.4
30.5
41.3
39.6
39.7
39.6
43.1
41.9
39.9
43.7
43.1
43.5
35.9
47.6
31.9
41.6
39.7
39.8
39.7
43.8
43.6
39.5
4.9
6.0
7.2
6.7
4.0
5.0
4.5
6.6
6.8
6.4
4.3
4.5
4.9
5.3
6.3
5.5
2.4
7.2
5.3
6.4
6.2
5.4
2.9
8.1
4.8
4.9
2.6
4.1
4.6
2.6
5.1
5.0
3.1
4.9
5.0
3.6
4.6
3.6
5.2
4.9
Nondurable goods
Food manufacturing
Animal food
Grain and oilseed milling
Flour milling, malt, starch, and vegetable oilSugar 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
Dried and dehydrated food....
311
3111
3112
31121,2
3113
31131
31132,3
3114
31141
311411
311412
31142
311423
See footnotes at end of table.
148
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervlsory workers1 on private nonfarm payrolls by detailed
industry-—Continued
Average weekly earnings
Average hourly earnings
Industry
2002
NAICS
code
Durable goods-Continued
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
Motor homes, 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 partsMotor vehicle power train components
Motor vehicle seating and interior trim
Motor vehicle metal stamping
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..
Jan.
2005
Nov.
2005
$22.16
Jan.
2006 P|
$21.88
22.13
29.05
30.03
31.04
27.92
23.30
17.40
20.84
13.56
15.65
20.86
22.94
23.94
19.52
20.20
27.49
26.07
14.58
23.51
16.52
24.36
27.49
25.15
18.74
17.13
18.79
14.58
$22.55
22.77
29.52
30.44
31.14
29.20
23.97
16.77
19.22
13.63
15.89
21.79
23.97
24.96
21.08
22.06
31.27
26.22
15.65
24.64
16.72
25.01
28.57
25.49
19.19
17.26
19.41
14.31
$22.73
23.00
29.80
30.78
31.76
29.09
23.71
16.76
19.00
13.51
16.18
22.00
23.89
24.92
21.02
21.90
31.19
27.05
15.35
24.77
17.17
25.23
29.07
25.41
19.34
17.29
19.08
14.73
$22.39
22.45
29.55
30.48
31.72
28.35
23.30
16.86
20.15
13.43
15.22
21.03
23.83
24.81
19.82
20.51
27.68
25.98
14.72
23.94
16.35
24.52
27.81
25.46
18.73
17.10
18.84
14.34
337
3371
33711
33712
337121
337122
13.45
13.00
13.31
12.76
13.44
11.84
13.40
12.99
13.33
12.73
13.45
11.92
13.45
13.31
13.66
13.02
13.64
12.14
13.52
13.30
13.61
13.05
13.79
12.12
$13.47
337124,5,7,9!
3372
13.09
14.87
12.85
14.74
13.50
13.89
337211,2
337215
3379
16.15
13.51
13.62
14.31
13.08
13.56
339
3391
339112
339113
339116
3399
33991
33992
33994
33995
33999
14.04
14.71
14.54
14.65
15.08
13.52
13.33
12.72
13.00
14.42
13.69
15.22
13.02
14.47
19.19
16.95
15.61
14.87
16.13
13.09
12.18
12.36
12.08
14.11
14.42
16.01
13.36
'3.42
14.06
14.58
14.27
14.44
15.58
13.63
13.29
12.79
12.83
14.79
13.79
311 .
3111
3112
31121,2
3113
31131
31132,3
3114
31141
311411
311412
31142
311423
Dec.
2004
$961.74
976.58
1,323.84
1,392.94
1,474.98
1,258.74
918.02
Jan.
2005
Nov.
2005
Dec.
2005 P]
Jan.
2006 P
$925.52 $967.40 $991.03 $951.58
936.10! 970.00 995.90
1,252.06 1,254.60 1,302.26
1,318.32 1,305.88 1,360.48
1,396.80 1,348.36 1,410.14
1,164.26 1,235.16 1,274.14
911.03 963.59 967.37
701.38 729.06 704.34 715.65
872.50 923.21
841.84 830.30
554.66 551.89 564.28! 556.61
611.84 627.57 645.13 689.27
914.81 880.29 932.61 952.60
1,046.14 991.01 1,069.06 1,096.55
1,126.37 1,060.54 1,150.66 1,183.70
834.42 812.03 902.22 897.55
883.98! 854.46! 968.43 952.65
1,267.74 1,226.05 1,422.79 1,450.34
1,215.86 1,201.83 1,177.28 1,211.84
577.02! 548.21 600.96 590.98
1,041.39 975.67! 1,015.17 1,027.96
694.88 672.36! 695.55 733.16
1,069.07 1,030.43 1,097.94 1,110.12
1,187.49 1,151.83 1,237.08 1,281.99
1,148.25 1,091.51 1,157.25 1,135.83
820.37 788.95! 855.87 864.50
723.33 712.61 766.34 786.70)
830.84 815.49 888.98 913.93
570.73 571.54 609.61 626.03
546.07
531.70
543.05 j
521.88
559.101
481.89
527.96
515.70
527.87
506.65!
527.24
483.95I
520.52!
511.10j
520.45
502.57
512.86
484.39
529.98 $509.17
516.04
519.90
512.87
532.29
490.86
13.36
14.18
520.98!
587.37
507.58
568.96
513.00
563.93
515.70
579.96!
678.30
499.87
555.70
646.80 i 588.14
505.01 531.05
519.35 505.79
608.06
549.88
523.99
14.12
14.80
14.11
14.72
16.21
13.57
13.84
12.94
12.53
14.69
13.49
14.94
13.25
13.61
14.19
14.83
14.17
14.79
16.61
13.69
14.02
13.21
12.82
14.37
13.73
14.07
544.75
564.86
591.781
572.82
515.74
527.28
531.87
506.261
475.80
547.96
535.281
542.72 547.86] 551.99 543.10
564.25 568.32! 567.99
590.78 577.10 572.47
567.49 577.02 576.81
515.70 539.79 558.101
524.76| 530.59 540.76
519.64 553.60 588.84
502.65) 507.25! 523.12
484.97 481.15 508.95
564.98! 559.69 558.99
525.40 526.11 529.98
15.24
15.28
15.35
15.40
613.37
608.08
617.31
13.06
14.44
19.16
17.05
15.74
15.26
16.25
13.00
12.12
12.55
11.91
14.02
13.85
13.06
14.07
19.42
17.71
14.93
15.63
14.08
13.10
11.98
12.54
11.67
14.27
14.09
13.11
14.03
19.66
18.08
15.44
15.68
14.78
13.25
12.29
12.90
11.96
14.27
14.19
13.14
512.99;
577.35)
836.68
750.89
576.01
655.77
545.19
527.53
485.98
479.57
489.24
574.28
559.50
505.42
599.26
825.80
758.73
572.94
653.13
536.25
514.80
483.59
475.65
488.311
549.58
505.53
515.87
576.87
833.12
763.30
516.58
693.97
429.44
541.03
474.41
497.84
462.13
615.04
590.37
See footnotes at end of table.
Dec.
2005 P
3361,2,3
3361
33611
336111
336112
33612
3362
336211
336212
336213,4
3363
33631
336312
33632
336322
33633
33635
33636
33637
33639
3364
336411
336412
336413
3366
336611
336612
336
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
Frozen specialty food
Fruit and vegetable canning and drying
Dried and dehydrated food
Dec.
2004
149
624.75) 619.08
523.091 519.03
613.11
847.35!
786.48
554.30!
746.37
471.48
551.20
487.91
513.42
474.81
625.03
618.68
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
42.0
42.7
45.7
40.1
43.1
4.4
4.3
4.0
5.1
5.5
4.4
4.2
4.3
4.5
5.0
5.6
6.0
6.3
4.9
6.2
5.0
5.3
6.1
5.8
9.5
40.4
38.8
34.6
38.3
37.4
32.0
39.9
38.2
35.1
38.6
37.8
32.7
5.9
4.4
4.2
4.3
4.3
4.6
4.2
4.6
3.8
3.7
5.7
3.8
3.2
4.9
4.4
5.2
3.8
3.3
4.7
4.1
39.3
39.4
37.0
36.2
37.4
40.3
40.7
39.4
37.0
40.5
40.7
40.9
39.7
37.0
41.0
5.5
4.3
5.8
7.3
5.0
4.8
4.1
5.2
5.3
5.1
5.6
6.3
5.8
5.3
6.1
4.9
6.3
6.0
5.8
6.1
39.2
38.5
38.6
38.8
38.3
39.9
40.1
41.4
41.9
38.4
40.4
40.0
41.1
42.0
38.6
39.7
39.4
40.0
40.8
38.5
38.8
3.5
3.7
3.4
3.2
4.0
4.0
4.5
5.1
5.1
3.7
6.0
6.6
6.9
7.6
6.3
5.2
5.7
6.5
7.0
4.6
313
3131
3132
31321
3133
313311
40.1
38.6
40.4
40.9
40.9
39.1
40.4
41.4
40.1
40.1
39.9
38.8
41.0
41.4
41.3
41.5
40.2
38.7
41.4
42.0
41.8
42.6
40.2
41.3
40.5
4.0
2.8
4.4
4.5
4.5
4.5
4.0
3.4
4.3
4.7
4.1
4.1
4.3
4.1
4.6
4.7
4.1
3.7
4.5
3.8
5.0
5.4
4.4
5.2
Textile product mills
Textile furnishings mills
Curtain and linen mills
Other textile product mills
Textile bag and canvas mills
All other textile product mills
314
3141
31412
3149
31491
31499
39.5
40.8
40.0
37.7
38.3
37.2
39.4
40.8
39.7
37.4
37.4
37.4
39.9
41.5
40.3
37.5
38.7
36.4
40.6
42.3
40.5
37.9
37.0
38.8
40.2
3.9
3.4
3.4
4.5
5.8
3.5
4.0
3.5
3.8
4.6
4.6
4.6
5.2
5.9
5.4
4.3
5.5
3.1
5.8
7.0
5.6
3.9
3.7
4.1
Apparel
Apparel knitting mills
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
315
3151
31511
3152
31521
315211
315212
31522
31523
3159
36.4
39.5
39.0
35.4
33.6
35.7
32.9
36.4
38.0
40.0
35.7
37.8
38.5
34.9
33.2
35.6
32.5
34.3
40.0
39.1
36.1
41.3
40.2
34.6
32.0
33.9
31.5
37.8
36.1
40.5
36.4
41.1
39.7
35.2
32.0
33.3
31.6
40.2
36.5
39.6
35.7
2.5
3.3
2.8
2.3
2.0
2.0
3.0
2.3
1.8
1.5
1.9
4.5
3.7
1.6
0.4
2.2
4.1
3.1
1.9
0.2
2.0
2.2
3.6
1.6
1.2
3.9
.0
1.8
3.6
.0
4.6
2.9
Leather and allied products
Footwear
Leather and hide tanning and finishing and other
leather products
316
3162
38.0
37.9
37.0
36.6
39.8
37.6
39.8
38.5
39.0
1.2
1.1
3.9
3.5
3161,9
38.1
37.4
41.6
40.8
1.1
1.3
6.0
5.4
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.
Miscellaneous coated and treated paper and
paper bags
Stationery products
Other converted paper products
322
3221
32211,2
32213
3222
32221
322211
322212
322213,4,5
32222
42.9
44.2
44.1
44.6
42.3
43.2
43.3
46.3
38.9
41.9
42.7
44.3
44.0
45.1
42.1
42.9
42.8
46.5
38.6
41.7
42.9
44.1
44.5
42.8
42.4
42.9
43.7
44.2
38.2
41.6
43.4
45.0
44.3
46.9
42.7
44.0
44.7
43.9
41.6
41.3
42.6
5.7
7.0
6.5
8.2
5.2
5.8
6.1
7.0
3.1
6.0
5.5
6.9
6.4
8.3
4.9
5.3
5.5
7.2
2.3
5.6
6.1
7.5
7.1
8.6
5.6
5.7
6.3
6.3
2.8
5.9
6.3
8.1
7.5
9.6
5.6
6.2
6.5
7.0
4.0
5.6
322221,2
41.7
41.2
41.7
42.3
5.6
5.3
6.2
6.3
322223,4,5,6
32223
32229
42.2
44.6
38.2
42.5
42.3
39.3
41.5
43.7
40.7
39.6
43.0
40.1
4.3
2.6
5.0
2.6
5.1
4.9
5.1
3.9
Printing and related support activities
323
39.0
38.5
38.7
38.8
3.5
3.0
3.5
3.6
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
Jan
2005 P| 2006 P
31 15
31 151
31 1511
31 16
31 1611
41.1
41.5
41.5
39.9
40.1
41.1
41.5
42.3
39.1
38.8
43.7
44.7
46.4
39.4
39.8
31 1612,3
31 1615
31 17
31 18
31 181
31 1811
39.1
40.1
39.1
38.0
37.3
33.6
38.1
39.7
37.3
37.1
36.2
30.5
31 1812,3
31 182,3
31 19
31 191
31 192,3,4,9
39.4
39.7
37.8
38.8
37.2
Beverages and tobacco products
Beverages
Soft drinks and ice
Soft drinks
Breweries, wineries, and distilleries..
312
3121
31211
312111
31212,3,4
Textile mills
Fiber, yarn, and thread mills
Fabric mills
Broadwoven fabric mills
Textile and fabric finishing mills
Broadwoven fabric finishing mills...
Nondurable goods-Continued
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
See footnotes at end of table.
150
38.5
Dec.
2005 P|
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Industry
2002
NAICS
Dec.
2004
jan.
2005
Nov.
2005
$16.59
16.58
17.94
11.50
11.86
$16.81
^6.75
'8.24
'1.44
'.1.75
$16.72
16.75
17.34
11.52
12.09
$16.50
16.61
17.40
11.54
11.97
311612,3
311615
3117
3118
31181
311811
12.98
10.62
10.99
12.51
12.25
9.42
12.87
10.64
11.26
12.58
12.34
9.41
12.64
10.65
11.85
12.42
12.25
9.88
12.65
10.70
11.53
12.58
12.21
9.97
507.52
425.86
429.71
475.38
456.93!
316.51
490.35
422.41
420.001
466.721
446.71
287.01
510.66
413.22
410.01
475.69
458.15
316.16
504.74
408.74
404.70
485.59
461.54
326.02
311812,3
31182,3
3119
31191
31192,3,4,9
13.58
13.15
13.15
10.65
14.55
13.56
13.15
13.44
10.88
14.67
13.24
13.48
13.54
11.31
14.46
535.05
522.06
497.07
413.22
541.26
532.91
518.11
497.28
393.86
548.66!
534.78
523.00
529.54
426.61
579.15
538.87
551.33
537.54
418.47
592.86
312
3121
31211
312111
31212,3,4
18.86
18.40
14.73
15.09
23.33
18.48
17.97
•4.24
14.47
23.31
13.27
12.85
13.44
11.53
14.30
18.76
18.21
15.42
16.58
22.28
18.50
17.96
15.37
16.25
21.64
$18.47
739.31
708.40
568.58)
585.491
893.54
737.35
720.60
589.54
606.29|
895.10
757.90
728.40
633.76
696.36
860.01
734.45
707.62
614.80
663.00
833.14
313
3131
3132
31321
3133
313311
12.25
11.26
12.79
12.71
12.18
12.41
12.33
11.41
12.84
12.72
12.31
12.45
12.48
12.11
12.88
13.18
12.15
11.98
12.46
11.79
13.06
13.27
12.10
11.84
12.61
491.23
434.64
516.72
519.84
498.16
485.23
498.13)
472.37
514.88
510.07
491.17
483.06
511.68
501.35
531.94
546.97
488.43
463.63
515.84
495.18
545.91
565.30
486.42
488.99
314
3141
31412
3149
31491
31499
11.44
11.32
10.28
11.60
10.99
12.05
11.32
11.01
10.14
11.80
11.26
12.18
11.78
11.66
10.81
11.97
11.11
12.84
11.89
11.82
10.87
11.99
10.99
12.89
11.90
451.88
461.86
411.20;
437.32
420.92
448.26
446.01
449.21
402.56]
441.32
421.12
455.53
470.02
483.89
435.64
448.88
429.96
467.38
482.73
499.99
440.24
454.42
406.63!
500.13
315
3151
31511
3152
31521
315211
315212
31522
31523
3159
10.02
10.79
11.19
9.89
9.53
10.03
9.37
9.62
10.67
9.60
10.16
11.03
11.34
10.03
9,81
10.15
9.69
9.75
10.65
9.63
10.41
11.44
11.47
10.12
9.85
10.36
9.70
9.82
10.94
10.95
10.43
11.35
11.29
10.16
9.83
10.25
9.71
9.78
10.56
364.73
426.21
436.41
350.11
320.21
358.07
308.27
350.17
405.46
384.00
362.71
416.93
436.59
350.05
325.69
361.34
314.93
334.43
426.00
376.53
375.80
472.47
461.09
350.15
315.20
351.20
305.55
371.20
394.93
443.48
379.65
466.49
448.21
357.63
314.56
341.33
306.84
393.16
401.87
440.35
316
3162
11.52
11.63
11.61
11.79
11.57
11.36
11.36
11.45
11.61
437.76)
440.78
429.57
431.51
460.49
427.14
452.13
440.83
435.10
427.86
487.55
460.63
code
Nondurable goods-Continued
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 distilleriesTextile 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
Cut and sew apparel
Cut and sew apparel contractors
Men's cut and sew apparel contractors
Women's cut and sew apparel contractorsMen'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
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.
Miscellaneous coated and treated paper and
paper bags
Stationery products
Other converted paper products
Printing and related support activities
3115
31151
311511
3116
311611
Dec.
Dec
Jan
2005 P| 2006 P| 2 0 0 4
Jan.
2005
Nov.
2005
Dec.
2005 P
$681.85 $690.89 $730.66 $693.00
695.13 748.73 709.25
688.07
771.55| 804.58 795.18
744.51
458.85 447.30 453.89 462.75
455.90 481.18 515.91
475.59
11.01
11.12
3161,9
11.42
11.44
11.72
11.29
322
3221
32211,2
32213
3222
32221
322211
322212
322213,4,5
32222
18.10
23.00
22.88
23.32
15.85
15.86
16.25
16.31
13.60
16.34
18.03
23.01
22.86
23.41
15.74
15.70
15.93
16.49
13.54
16.18
17.87
22.55
22.62
22.36
15.82
15.40
15.32
16.61
13.92
17.01
17.95
22.78
23.01
22.17
15.82
15.34
15.28
16.46
14.05
17.13
322221,2
17.76
17.75
18.78
18.70
740.59
731.30
783.13
791.01
322223,4,5,6|
32223
32229
14.16
15.90
14.97
13.73
16.14
14.91
13.86
16.61
15.19
14.18
16.51
15.30
597.55
709.14
571.85
583.53!
682.72
585.96
575.19
725.86
618.23
561.53
709.93
613.53
323
15.78
15.75
15.73
15.98
615.42
606.38
608.75
620.02!
See footnotes at end of table.
Average weekly earnings
Average hourly earnings
151
17.88
16.02
776.49
769.88 766.62 779.03
1,016.60 1,019.341 994.46 1,025.10
1,009.01 1,005.84! 1,006.59 1,019.34
1,040.07 1,055.79 957.01 1,039.77
670.46
662.65 670.77 675.51
685.15 673.53 660.66 674.96
703.63 681.80 669.48 683.02
755.15 766.79 734.16 722.59
529.04
522.64 531.74 584.48
674.71 707.62 707.47
684.65
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly hours
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
32311
323112
323113
323114
323116
323111,5,7,81
9
32312
40.5
37.9
38.2
34.4
39.1
39.4
37.9
36.5
35.2
40.5
40.6
38.4
36.4
34.0
40.9
39.6
38.0
38.6
39.3
Petroleum and coal products
Petroleum refineries
Asphalt paving and roofing materials and other
petroleum and coal products
324
32411
44.9
46.3
32412,9
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
325
3251
32518
3252
32521
325211
3253
3254
325412
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
Other rubber products
Rubber products for mechanical use
All other rubber products
Nondurable goods-Continued
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
Dec.
2004
Jan.
2005
Nov.
2005
40.2
40.2
35.8
33.6
42.3
4.7
1.5
2.7
0.4
3.8
0.9
2.3
.0
4.8
3.2
0.9
0.7
4.4
3.1
1.3
0.5
38.4
37.5
39.6
37.4
4.4
2.6
3.5
2.8
3.5
3.7
4.5
3.5
44.3
46.6
46.6
48.0
44.5
45.2
7.8
7.5
9.8
8.1
42.8
40.5
44.6
43.3
8.4
6.6
8.2
7.2
43.1
45.2
40.5
45.5
45.2
45.5
46.8
42.6
42.7
42.8
44.6
40.2
44.5
45.1
44.8
46.0
42.7
42.5
42.6
43.3
40.4
44.0
44.3
43.4
45.3
42.4
43.5
43.0
44.3
41.9
45.3
44.9
43.9
46.1
41.8
42.9
5.4
7.4
5.5
6.6
6.8
6.6
5.1
6.9
5.4
5.7
6.4
6.1
4.2
5.2
4.6
5.9
6.4
6.2
4.8
6.8
4.5
6.9
6.5
6.3
4.7
4.7
4.3
4.1
3.0
3.1
2.9
3.1
325411,3,4
3255
32551
3256
32561
42.4
40.7
41.5
40.6
39.7
43.2
40.2
41.7
40.6
39.7
37.6
43.5
42.3
40.1
38.5
37.2
43.7
43.1
40.3
38.0
4.7
4.3
4.3
3.9
3.4
5.1
4.4
4.0
3.8
3.4
2.5
6.4
3.4
2.4
2.5
2.2
6.0
3.6
2.3
1.3
325612,3
32562
3259
40.1
41.5
41.2
40.4
41.5
41.4
39.4
41.7
42.1
39.8
42.6
43.0
3.5
4.4
4.0
3.3
4.1
4.8
2.4
2.4
3.4
1.8
3.2
4.6
326
3261
32611
326113
32612
326121
326122
32614,5
40.4
39.9
41.6
40.8
40.3
41.9
38.9
41.2
40.0
39.5
40.7
40.9
41.1
42.5
39.9
38.6
40.4
40.0
40.6
40.5
41.8
43.4
40.5
40.5
41.1
40.6
41.0
41.6
41.1
42.8
39.7
41.8
4.1
4.0
4.8
3.7
3.9
5.0
3.0
5.7
3.8
3.7
4.2
3.6
4.1
4.9
3.5
4.4
4.0
3.9
4.7
4.7
3.8
3.9
3.7
4.1
4.2
4.0
4.2
3.9
3.4
4.1
2.9
4.6
32613,6
32619
3262
32621
32629
326291
326299
42.5
38.8
42.3
43.8
40.8
42.4
38.1
41.7
38.7
41.7
43.2
40.2
40.8
39,1
42.1
39.1
42.2
44.0
40.4
39.9
41.3
42.7
39.8
43.1
44.7
41.6
41.2
42.5
5.3
3.4
4.5
5.3
3.1
4.2
5.4
3.5
4.5
5.2
3.7
4.9
4.3
4.3
4.4
3.6
3.3
4.2
3.7
3.1
4.7
4.3
3.9
5.0
32.4
32.4
32.3
32.3
32.4
33.6
33.2
33.2
33.4
33.0
42
37.6
37.8
37.8
37.8
38.0
423
4231
42311
42312
4232
42322
4233
42331
42332
38.2
37.5
35.0
39.0
37.0
34.5
40.1
39.6
38.3
38.4
37.1
35.0
38.6
37.4
35.0
40.0
39.5
37.7
38.3
36.7
32.7
38.1
37.2
35.1
40.9
41.2
39.6
38.4
36.7
33.2
38.3
36.7
34.1
40.7
41.0
40.0
42333,$
4234
42342
42343
42345
43.0
37.6
36.9
36.1
39.0
43.2
38.3
37.8
37.6
39.0
41.5
37.4
36.9
37.3
37.5
40.5
37.4
36.7
37.6
37.6
Private service-providing
Trade, transportation, and utilities.
Wholesale trade
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
Commercial equipment
Office equipment
Computer and software
Medical equipment
See footnotes at end of table.
Average overtime hours
152
Jan
2006 P
44.6
43.1
40.2
Dec.
2005 P|
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry-—Continued
Average weekly earnings
Average hourly earnings
Industry
Nondurable goods-Continued
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
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$17.03
32311
15.27
323112
12.77
323113
14.15
323114
15.64
323116
323111,5,7,8|
15.42
9
16.07
32312
$16.97
15.84
12.68
14.06
15.78
$16.84
16.02
12.24
14.81
15.98
$16.98
16.34
12.53
14.86
15.87
15.38
15.78
15.31
15.70
15.46
17.03
24.77
28.33
24.64
28.12
24.62
28.36
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$689.72 $668.62 $683.70 $682.60
600.34 615.17 656.87
578.73
462.82 445.54 448.57
487.81
503.54 499.30
494.91
486.76
611.52, 639.09 653.58 671.30
610.63]
610.66
593.67
620.15
587.90
588.75
612.22
636.92
Petroleum and coal products
Petroleum refineries
Asphalt paving and roofing materials and other
petroleum and coal products
324
32411
24.50
28.26
32412,9
18.34
18.08
19.22
18.46
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
325
3251
32518
3252
32521
325211
3253
3254
325412
19.60
23.97
24.68
18.43
20.29
21.18
19.35
21.43
21.97
19.53
23.88
24.64
18.38
20.29
21.10
19.20
21.18
21.67
19.68
23.70
25.28
19.34
22.07
23.09
21.59
21.62
21.97
19.83
23.87
25.18
19.41
22.35
23.41
21.67
21.94
22.32
325411,3,4
3255
32551
3256
32561
19.44
16.23
16.77
15.29
15.07
19.46
16.18
16.84
15.39
15.08
19.91
16.07
15.21
15.28
15.02
20.12
16.22
15.29
14.98
15.01
824.26I
660.56|
695.96
620.77
598.28
840.67
650.44
702.23
624.83
598.68
748.62
699.05
643.38
612.73
578.27
748.46
708.81
659.00
603.69|
570.38
325612,3
32562
3259
15.02
15.51
17.29
15.13
15.68
17.53
15.15
15.51
16.65
15.18
14.95
16.93
602.30
643.67
712.35
611.25
650.72
725.74
596.91
646.77
700.97
604.16
636.87
727.99!
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
Other rubber products
Rubber products for mechanical use
All other rubber products
,
326
3261
32611
326113
32612
326121
326122
32614,5
14.77
14.06
16.51
16.20
14.10
15.32
12.99
13.65
14.81
14.05
16.14
15.71
14.02
15.51
12.67
13.91
14.78
13.97
16.25
15.83
13.99
14.50
13.55
13.97
14.84
13.99
15.83
15.32
13.86
14.41
13.37
14.05
596.71
560.99
686.82
660.96
568.23|
641.91
505.31
562.38
592.40
554.98
656.90
642.54
576.22
659.18
505.53
536.93
597.11
558.80
659.75
641.12
584.78
629.30
548.78
565.79
609.92
567.99
649.03
637.31
569.65!
616.75
530.79
587.29
32613,6
32619
3262
32621
32629
326291
326299
15.44
13.27
17.16
21.26
13.99
13.90
14.17
15.50
13.30
17.39
21.63
13.95
13.94
13.98
14.77
13.28
17.63
22.03
13.92
14.16
13.48
14.79
13.42
17.79
22.18
14.07
14.12
13.98
656.20
514.88
725.87
931.19
570.79
589.36
539.88
646.35I
514.71
725.16J
934.42
560.79!
568.75
546.62
621.82
519.25
743.99
969.32
562.37
564.98
556.72
631.53
534.12
766.75
991.45|
585.31
581.74
594.15
$24.85
1,100.05 1,097.31 1,148.22 1,095.58$|l,108.31
1,308.44 1,320.18 1,349.76 1,281.87|
784.95
19.85
14.95
732.24
857.21
799.32
844.76 835.88 838.37 852.69
1,083.44 1,065.05 1,026.21 1,057.44
999.54 990.53 1,021.31 1,055.04
838.57 817.91
850.96 879.27
915.08 977.70 1,003.52
917.11
963.69! 945.28 1,002.11 1,027.70
905.58 883.20 978.03 998.99
912.92 904.39 916.69 917.09
938.12 920.98 955.70 957.53
Private service-providing....
15.45
15.65
15.90
15.97
16.20
500.58
507.06 j 513.57
515.83
Trade, transportation, and utilities.
14.59
14.85
15.00
14.96
15.19
490.22
493.02
498.00
499.66
42
17.85
18.00
18.46
18.60
18.67
671.16
680.40
697.79
703.08
423
4231
42311
42312
4232
42322
4233
42331
42332
18.44
16.09
17.07
15.75
15.08
15.52
16.17
15.74
17.36
18.64
16.18
17.08
15.91
15.08
15.63
16.33
15.90
17.27
19.25
16.37
15.80
17.23
15.11
15.90
16.99
16.78
17.59
19.32
16.48
16.22
17.10
15.11
16.14
17.09
16.90
17.43
704.41
603.38
597.45
614.25
557.96
535.44
648.42
623.30
664.89
715.78
600.28
597.80
614.13
563.99
547.05
653.20
628.05
651.08
737.28
600.78
516.66
656.46
562.09
558.09
694.89
691.34
696.56
741.89
604.82
538.50[
654.93
554.54
550.37
695.56
692.90
697.20
42333.S
4234
42342
42343
42345
16.09
23.04
18.77
28.51
21.49
16.47
23.47
19.62
28.88
21.56
16.95
24.54
20.78
30.33
21.97
17.24
24.44
20.80
30.04
22.06
Wholesale trade
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
Commercial equipment
Office equipment
Computer and software
Medical equipment
See footnotes at end of table.
153
691.87 711.50 703.43 698.22
866.30 898.90 917.80 914.06
692.61
741.64 766.78 763.36
1,029.21 1,085.89 1,131.31 1,129.50
838.11
840.84 823.88 829.46
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry-—Continued
Average overtime hours
Average weekly hours
Industry
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec,
2005 P|
42341,4,6,9
4235
4236
42361
42362,9
4237
42371
42372
42373,4
4238
42381
42382
42383
42384
42385
4239
42393
42392,9
39.9
39.5
39.4
40.2
38.7
38:6
37.7
38.9
39.1
38.4
41.4
37.3
38.0
39.8
36.8
36.1
39.4
35.4
39.5
39.8
39.6
40.5
39.0
38.9
38.5
38.6
39.7
38.9
40.9
37.7
38.9
40.4
37.4
35.8
38.8
35.4
38.2
41.5
39.4
38.9
39.7
38.8
37.6
39.1
39.7
38.5
42.6
37.0
38.3
38.9
35.5
37.0
40.3
35.5
37.4
41.0
39.9
39.7
40.0
39.1
39.4
39.0
38.8
38.6
42.5
36.4
38.8
38.3
35.5
37.1
40.4
35.2
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
424
4241
42411,2
42413
4242
4243
4244
42441
42448
4245
42451
4246
42469
4247
4248
42481
4249
42491
37.1
34.5
30.7
39.5
34.5
37.3
38.8
38.1
41.0
35.7
41.9
40.6
41.3
34.4
37.7
37.5
35.6
36.4
36.9
33.9
30.3
38.6
35.0
37.1
38.6
37.7
41.9
34.2
41.5
41.0
41.6
35.1
37.3
37.7
35.3
36.9
37.1
33.8
27.8
41.7
37.3
36.3
38.3
36.5
43.1
38.6
46.0
40.6
40.8
34.4
35.7
35.8
36.1
38.0
37.0
32.6
25.1
42.1
36.5
35.9
38.7
37.0
42.3
35.2
42.3
40.0
39.9
34.6
36.2
36.0
36.3
38.1
42495,9
31.7
31.9
33.5
33.9
Electronic markets and agents and brokersBusiness to business electronic markets..
Wholesale trade agents and brokers
425
42511
42512
36.3
29.1
37.0
37.7
30.0
38.4
37.6
36.7
37.7
37.4
35.8
37.5
Wholesale trade-Continued
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
Miscellaneous durable goods
Recyclable materials
Toy, hobby, and other durable goods
Retail trade
44,45
31.0
30.2
30.3
30.7
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
441
4411
44111
44112
4412
44122
4413
44131
44132
35.7
35.6
35.6
35.4
34.7
34.8
36.5
35.7
38.1
36.4
36.6
36.6
36.3
34.1
34.0
36.6
35.6
38.6
35.4
35.5
35.8
32.4
34.4
35.1
35.4
34.2
37.9
35.5
35.8
36.0
33.5
34.3
35.1
35.3
34.2
37.6
Furniture and home furnishings stores..
Furniture stores
Home furnishings stores
Floor covering stores
Other home furnishings stores
442
4421
4422
44221
44229
30.9
31.5
30.3
34.2
28.4
30.6
31.9
29.1
34.4
26.3
30.3
31.6
29.0
36.5
25.2
30.4
31.1
29.6
36.3
26.3
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
443
44311
443111
443112
32.9
33.0
32.3
33.2
33.5
33.4
33.1
33.5
31.1
31.8
31.8
31.8
32.8
33.4
32.0
33.7
44312,3
32.6
33.6
29.4
31.2
Building material and garden supply stores..
Building material and supplies dealers
444
4441
35.1
35.7
35.1
35.5
37.1
37.6
36.8
37.4
See footnotes at end of table.
154
Jan
2006 P|
30.0
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
Industry
Wholesale trade-Continued
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
Miscellaneous durable goods
Recyclable materials
Toy, hobby, and other durable goods
2002
NAICS
code
42341,4,6,9
4235
4236
42361
42362,9
4237
42371
42372
42373,4
4238
42381
42382
42383
42384
42385
4239
42393
42392,9
Average weekly earnings
Nov.
2005
Dec.
2004
Jan.
2005
Nov.
2005
$17.94
16.32
20.75
19.28
21.92
16.13
14.21
16.86
17.21
18.13
19.07
14.33
19.51
16.99
16.80
14.89
13.48
17.78
$18.20
16.19
20.94
19.30
22.23
16.39
14.30
17.36
17.34
18.40
19.08
14.52
19.85
17.42
17.15
14.54
13.33
17.01
$18.91
16.74
22.45
20.52
23.79
16.77
15.13
18.17
16.55
18.92
20.00
14.69
20.51
17.42
17.67
14.83
13.71
17.45
$18.60
17.22
22.53
20.75
23.78
16.75
14.78
18.26
16.82
18.94
19.77
14.92
20.35
17.72
17.53
15.14
13.98
17.44
16.08
18.05
17.80
18.32
18.71
16.61
15.40
17.26
14.20
13.03
12.98
18.74
19.14
14.36
18.63
17.12
13.98
14.09
16.11
18.06
17.45
18.68
18.72
17.15
15.35
'7.04
'.4.28
13.46
13.50
18.68
19.11
14.11
18.35
16.91
14.10
14.08
16.35
16.63
15.13
17.97
19.69
18.10
15.44
17.70
13.60
13.50
13.43
18.58
19.31
14.82
18.83
17.43
14.53
14.62
16.57
16.93
16.15
17.53
20.22
17.92
15.59
18.07
13.68
13.65
13.57
18.89
19.71
15.58
18.49
16.90
14.88
14.75
596.57
622.73
546.46
723.64
645.50
619.55
597.52
657.61
582.20
465.17
543.86
760.84]
790.481
493.98
702.35
642.00
497.69
512.88
594.46
612.23
528.74
721.05
655.20
636.27
592.51
642.41
598.331
460.33
560.25
765.88
794.98
495.26
684.46
637.51
497.73
519.55
606.59
562.09
420.61
749.35
734.44
657.03
591.35
646.05!
586.16
521.10
617.78
754.35
787.85
509.81
672.23
623.99
524.53
555.56
613.09
551.92
405.37
738.01
738.03
643.33
603.33
668.59
578.661
480.48
574.01
755.60
786.43
539.07
669.34
608.40
540.14
561.98
Dec. i
2005 Pi
Jan.
2006 P
Dec.
2004
Jan.
2005
Dec.
2005 P
$715.81 $718.90 $722.36 $695.64
706.02
644.36 694.71
644.64
829.22 884.53 898.95
817.55
775.06! 781.65 798.23 823.78
951.20
866.97 944.46
848.30
654.93
637.57 650.68
622.62
582.33
550.55 568.89
535.72
712.14
670.10 710.45
655.85
652.62
688.40 657.04
672.91
731.08
715.76 728.42
696.19
840.23
780.37 852.00
789.50
547.40 543.53 543.09
534.51
772.17| 785.53 789.58
741.38
678.68
703.77 677.64
676.20
622.32
641.41 627.29
618.24
561.69
520.53 548.71
537.53
564.79
517.20 552.51
531.11
613.89
602.15 619.48
629.41
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
424
4241
42411,2
42413
4242
4243
4244
42441
42448
4245
42451
4246
42469
4247
4248
42481
4249
42491
14.35
14.61
15.75
16.49
454.90
466.06
527.63
559.01
Electronic markets and agents and brokers
Business to business electronic markets
Wholesale trade agents and brokers
I425
42511
42512
20.50
16.33
20.81
20.59
16.61
20.88
21.01
19.47
21.13
21.19
19.88
21.29
744.15
475.20
769.97
776.24
498.30
801.79
789.98
714.55
796.60
792.51
711.70
798.38
144,45
Retail trade
42495,9
$12.46
12.10
12.34
12.28
12.25
375.10
372.67
372.08
376.08
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
441
4411
44111
44112
4412
44122
4413
44131
44132
16.19
17.78
18.11
14.09
14.61
14.05
12.53
12.19
13.17
16.20
17.77
18.17
13.43
14.53
14.07
12.51
12.03
13.41
15.82
17.01
17.28
14.02
15.22
14.95
12.87
12.28
13.97
15.88
17.04
17.35
13.66
15.13
14.89
13.01
12.47
14.02
577.98
632.97
644.72
498.79
506.97
488.94
457.35
435.18
501.78
589.68^
650.38
665.02
487.51
495.47
478.38
457.87
428.27
517.63
560.03
603.86
618.62
454.25
523.57
524.75
455.60
419.98
529.46
563.74
610.03
624.60
457.61
518.96
522.64
459.25
426.47
527.151
Furniture and home furnishings stores..
Furniture stores
Home furnishings stores
Floor covering stores
Other home furnishings stores
442
4421
4422
44221
44229
13.86
15.01
12.60
16.01
10.56
13.86
14.61
12.96
15.90
10.88
14.34
14.70
13.90
16.89
11.74
14.59
15.36
13.69
17.08
11.37
428.27
472.82
381.78
547.54
299.90
424.12
466.06
377.14
546.96
286.14
434.50
464.52
403.10
616.49
295.85
443.54
477.70
405.22
620.00
299.03
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
443
44311
443111
443112
17.05
15.91
14.21
16.29
17.23
15.93
14.28
16.31
17.70
16.10
15.10
16.30
17.47
16.01
15.28
16.15
560.95
525.03
458.98
540.83
577.21 550.47
532.06I ,511.98
472.67 480.18
546.391 518.34
573.02
534.73
488.96
544.26
44312,3
19.96
20.54
22.19
21.51
650.70
690.14
652.39
671.11
Building material and garden supply stores..
Building material and supplies dealers
444
4441
12.98
13.02
13.09
13.13
13.37
13.45
13.35
13.44
455.60!
464.81
459.46
466.12
496.03
505.72
491.28
502.66
See footnotes at end of table.
155
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
2002
NAICS
code
Retail trade-Continued
44411
Home centers
44412
Paint and wallpaper stores
44413
Hardware stores
44419
Other building material dealers
Lawn and garden equipment and supplies stores...| 4442
44421
Outdoor power equipment stores
44422
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 marketsFruit and vegetable markets
Other specialty food stores
Beer, wine, and liquor stores
445
4451
44511
44512
4452
44521,2
44523
44529
4453
Dec.
2004
Jan.
2005
Nov.
2005
35.4
37.8
30.2
39.2
29.7
28.8
30.0
35.1
37.5
29.7
39.4
30.7
29.7
31.0
38.1
38.4
30.7
40.2
32.7
31.0
33.2
37.9
38.6
31.5
39.3
31.8
31.0
32.1
30.3
30.1
30.1
29.9
33.2
32.4
37.2
32.3
28.4
29.8
29.6
29.6
29.7
32.4
32.8
34.9
31.5
28.0
29.6
29.5
29.5
30.0
33.0
32.1
35.7
32.7
25.5
29.5
29.3
29.3
30.1
33.2
32.5
36.3
32.6
26.4
29.6
29.3
30.1
33.2
34.8
28.6
28.2
28.8
32.1
35.2
28.9
28.4
29.8
31.1
36.8
Dec.
2005 P|
Health and personal care stores
Pharmacies and drug stores
Optical goods stores
Other health and personal care stores
All other health and personal care stores..
446
44611
44613
44619
446199
29.7
29.2
30.9
34.2
35.8
Gasoline stations
Gasoline stations with convenience storesOther gasoline stations
447
44711
44719
31.7
31.4
33.4
31.6
31.3
33.1
31.2
30.8
33.6
31.4
31.1
33.6
Clothing and clothing accessories stores
Clothing stores
Men's clothing stores
Women's clothing stores
Family clothing stores
Clothing accessories stores
Other clothing stores
Shoe stores
Jewelry, luggage, and leather goods stores
448
4481
44811
44812
44814
44815
44819
4482
4483
26.2
24.6
27.1
22.7
24.5
29.1
30.1
27.0
35.4
23.9
22.3
28.8
20.5
21.1
29.3
27.9
27.0
31.2
23.0
21.6
27.8
22.0
19.5
25.8
28.3
24.4
31.6
25.6
24.2
29.3
22.2
23.7
28.7
29.7
24.8
35.9
Sporting goods, hobby, book, and music stores....
Sporting goods and musical instrument stores...
Sporting goods stores
Hobby, toy, and game stores
Sewing, needlework, and piece goods stores..
Book, periodical, and music stores
Book stores and news dealers
Prerecorded tape, CD, and record stores
451
4511
45111
45112
45113
4512
45121
45122
25.0
25.7
26.8
25.4
20.9
23.6
22.4
26.6
23.5
24.0
24.8
23.3
20.1
22.4
22.0
23.6
22.2
21.8
23.3
19.0
19.9
23.1
22.8
23.8
23.6
23.3
25.1
21.0
20.1
24.4
23.4
27.1
General merchandise stores
Department stores
Department stores, except discount
Discount department stores
Other general merchandise stores
Warehouse clubs and supercenters
All other general merchandise stores
452
4521
452111
452112
30.6
28.9
24.1
32.8
32.8
34.2
28.6
28.2
25.8
20.6
29.9
31.1
32.2
27.5
30.4
27.8
20.8
33.3
33.7
35.5
27.7
30.6
28.7
23.0
33.2
33.0
34.6
28.0
Miscellaneous 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 pet supplies stores
AH other miscellaneous store retailers....
453
4531
4532
45321
45322
4533
4539
45391
45399
29.3
27.3
29.1
33.2
26.1
28.1
30.9
28.9
32.4
28.3
25.4
27.7
33.3
23.0
28.0
30.4*
29.4
31.3
28.0
27.0
27.8
31.6
24.7
28.0
28.8
27.8
29.6
28.7
27.9
28.5
31.9
25.8
28.2
29.5
28.3
30.0
Nonstore retailers
Electronic shopping and mail-order houses
Mail-order houses
Direct selling establishments
Fuel dealers
Heating oil dealers
Liquefied petroleum gas, bottled gas, and
other fuel dealers
454
4541
454113
4543
45431
454311
36.0
35.6
35.2
36.0
39.1
37.8
35.0
33.6
32.8
36.2
38.7
38.2
33.3
31.1
29.7
36.3
38.9
37.2
35.3
34.4
33.5
36.8
40.5
38.9
1454312,9
40.6
39.3
40.8
42.3
4529
45291
45299
See footnotes at end of table.
156
Jan.
2006 P|
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—-Continued
Average weekly earnings
Average hourly earnings
Industry
2002
NAICS
code
Retail trade-Continued
44411
Home centers
44412
Paint and wallpaper stores
44413
Hardware stores
44419
Other building material dealers
Lawn and garden equipment and supplies stores..J 4442
Outdoor power equipment stores
44421
Nursery, garden, and farm supply stores
44422
Nov.
2005
$12.40
13.93
11.07
14.92
12.56
15.20
11.85
$12.57
13.95
11.10
14.95
12.68
14.81
12.03
$12.91
14.61
11.46
15.22
12.52
15.45
11.67
$12.94
14.26
11.34
15.27
12.44
15.11
11.59
10.94
10.88
11.00
8.74
11.16
10.83
10.08
11.71
11.71
10.88
10.86
10.98
8.83
10.90
10.78
9.88
11.29
11.28
10.85
10.79
10.91
8.83
11.03
11.08
9.74
11.40
11.70
329.66
325.38
328.99
260.73
369.85
352.51
366.79
378.56
332.28
326.01
322.05|
325.60
259.58 j
361.58
355.22
351.79:
368.87!
327.88
322.05
320.37
323.91
264.90
359.70
346.04
352.72
369.18
287.64
320.08
316.15
319.66
265.78
366.20
360.10
353.56
371.64
308.881
14.02
14.03
14.27
15.64
17.57
412.24
418.44
414.37
481.19
567.07
419.43
426.02
407.86
471.44
549.49
401.83
396.77
419.62
481.50
596.99
405.18|
398.45
425.25!
486.40;
646.58
8.98
8.69
Dec.
2004
Jan.
2005
Dec.
2005 P
Jan.
2005
Dec.
2005 P|
Jan
2006 P|
Nov.
2005
Dec.
2004
$438.96 $441.21 $491.87 $490.43
526.55 523.13 561.02 550.44
329.67 351.82 357.21
334.31
584.86I 589.03 611.84 600.11
373.03) 389.28 409.40 395.591
437.76 439.86 478.95 468.41
355.50 372.93 387.44 372.04
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
445
4451
44511
44512
4452
44521,2
44523
44529
4453
10.88
10.81
10.93
8.72
11.14
10.88
9.86
11.72
11.70
Health and personal care stores
Pharmacies and drug stores
Optical goods stores
Other health and personal care stores
All other health and personal care stores..
446
44611
44613
44619
446199
13.88
14.33
13.41
14.07
15.84
14.17
14.54
13.55
14.20
15.79
14.05
14.07
14.57
15.00
16.96
Gasoline stations
Gasoline stations with convenience storesOther gasoline stations
447
44711
44719
8.93
8.60
10.85
8.94
8.61
10.87
8.74
10.43
10.65
283.08
270.04
362.39
282.50
269.49
359.80
280.49
269.19
350.45
281.97
270.26
357.84
Clothing and clothing accessories stores
Clothing stores
Men's clothing stores
Women's clothing stores
Family clothing stores
Clothing accessories stores
Other clothing stores
Shoe stores
Jewelry, luggage, and leather goods stores
448
4481
44811
44812
44814
44815
44819
4482
4483
10.68
13.46
9.93
9.83
13.45
11.14
10.59
13.10
11.99
9.48
11.67
10.30
10.40
14.35
10.95
10.12
12.43
11.72
8.94
11.53
10.61
10.59
15.01
279.82
251.90
362.87
257.42
231.04
323.59
288.36
262.71
476.48'
263.86
239.731
388.80
244.36!
208.89
344.28
277.05
265.41
419.64
256.22
228.74
364.18
263.78
184.86
301.09
291.49
253.76
453.46
280.32
244.90
364.20
260.18
211.88
330.91
315.12
262.63
538.86
Sporting goods, hobby, book, and music stores....
Sporting goods and musical instrument stores...
Sporting goods stores
Hobby, toy, and game stores
Sewing, needlework, and piece goods storesBook, periodical, and music stores
Book stores and news dealers
Prerecorded tape, CD, and record stores
451
10.31
10.74
11.04
10.47
10.91
11.22
10.27
10.33
10.49
9.06
9.52
9.73
8.88
9.51
9.80
8.72
9.98
10.33
10.45
9.51
9.54
9.23
9.60
8.41
257.75
276.02
295.87
262.38
190.40
220.42
219.74
220.78 j
246.05
261.84
278.26
244.42
182.11
213.25
214.06
209.57
227.99
231.30
247.45
191.90
185.67
219.68
223.44
207.54
235.53
240.69!
262.30
199.71
191.75!
225.21
224.64
227.91
General merchandise stores
Department stores
Department stores, except discount
Discount department stores
Other general merchandise stores
Warehouse clubs and supercenters
All other general merchandise stores
452
4521
452111
452112
45299
9.96
10.49
10.82
12.18
10.10
10.15
10.13
10.21
10.52
10.75
11.75
10.27
10.27
10.30
10.13
10.56
10.73
11.49
10.31
10.36
10.39
10.26
315.49
304.90
279.56!
325.38
328.66
343.37
284.86
295.82
279.16
250.91
301.99
315.67
326.19
280.78!
319.81
298.85
244.40
341.99
346.10
365.65
280.60
323.14
307.95
264.27
342.29
341.88!
359.49
287.28
Miscellaneous 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 pet supplies stores
All other miscellaneous store retailers
453
4531
4532
45321
45322
4533
11.01
45399
11.25
9.78
11.80
13.22
10.06
8.83
11.98
10.28
12.78
11.10
9.74
11.51
12.87
10.14
8.87
11.89
10.72
12.49
11.02
11.37
13.16
9.71
8.65
11.85
10.11
12.50
12.38
322.59
264.81
330.87
436.91
253.43
243.07
366.17
292.18
405.00
318.38
248.41
326.86
440.23
231.38
247.24
364.19
302.23
400.01
310.80
262.98
319.98
406.69
250.46
248.36
342.43
298.02
369.70
316.27
273.14
324.33
412.79
254.39
250.70!
347.81 j
297.72
371.401
Nonstore retailers
Electronic shopping and mail-order houses
Mail-order houses
Direct selling establishments
Fuel dealers
Heating oil dealers
Liquefied petroleum gas, bottled gas, and
other fuel dealers
454
4541
454113
4543
45431
454311
13.87
13.38
12.61
14.98
14.91
16.22
14.34
13.95
12.92
15.33
15.30
16.30
14.56
14.51
13.18
15.06
15.02
15.96
14.64
14.40
13.03
15.48
15.62
16.60
499.32
476.33
443.87
539.28
582.98
613.12
501.90
468.72
423.78
554.95
592.11
622.66
484.85
451.26
391.45
546.68
584.28
593.71
516.79
495.36
436.51
569.66
632.61
645.74
454312,9
13.54
14.21
14.04
14.59
549.72
558.45
572.83
617.16
4511
45111
45112
45113
4512
45121
45122
4529
45291
4539
45391
10.24
13.39
11.34
9.43
11.12
9.58
9.73
9.11
9.34
9.81
8.30
10.31
10.55
11.60
9.92
10.02
10.04
9.70
11.04
10.75
13.50
11.92
9.90
11.75
See footnotes at end of table.
157
8.99
10.61
10.62
10.10
9.33
9.79
11.38
12.94
9.86
8.89
11.79
10.52
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
Retail trade-Continued
Transportation and warehousing..
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
48,49
37.7
37.4
37.0
37.0
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.
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
42.1
42.1
42.9
41.9
41.4
43.1
41.9
36.2
45.2
41.4
41.0
41.3
41.0
41.4
41.5 .
41.3
40.1
34.6
43.9
38.4
41.4
41.6
41.6
41.6
41.6
41.6
40.9
35.9
44.8
38.1
41.0
41.3
40.8
41.5
41.4
41.6
40.2
35.8
43.8
37.4
Transit and ground passenger transportation
Urban transit systems
School and employee bus transportation
Other ground passenger transportation
485
4851
4854
4859
32.9
41.3
30.0
30.8
32.7
40.9
30.3
31.9
29.5
36.6
24.8
32.1
31.1
36.7
27.6
33.2
Jan.
2006PI
36.1
Pipeline transportation
486
46.3
46.4
46.6
46.3
Scenic and sightseeing transportation.
487
23.4
25.1
26.6
31.2
Support activities for transportation
Support activities for air transportation
Airport operations
Support activities for water transportationPort 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
36.5
36.1
35.5
36.0
29.9
34.7
39.0
35.8
36.9
36.1
35.2
36.3
30.6
33.6
41.4
36.0
36.6
36.0
34.5
34.6
32.0
29.4
39.4
36.5
36.7
36.1
34.8
34.7
31.4
30.5
38.6
36.7
4882,9
37.4
36.0
37.9
39.2
Couriers and messengers..
Couriers
492
4921
28.2
27.5
27.4
26.7
27.3
26.7
29.1
28.6
Warehousing and storage
General warehousing and storage
Refrigerated warehousing and storage
Miscellaneous warehousing and storage..
493
49311
49312
49313,9
37.9
37.6
38.6
40.6
36.6
36.2
37.8
40.1
38.6
38.4
38.6
41.1
37.6
37.2
38.4
40.7
22
2211
22111
221112
22112
221121
221122
2212
2213
40.5
39.8
39.3
41.2
40.3
40.9
40.2
43.6
39.0
40.8
40.6
40.3
42.2
41.0
40.3
41.2
42.4
38.3
41.7
41.7
41.6
43.6
41.8
45.4
41,1
42.4
40.4
41.3
40.9
40.3
42.0
41.7
44.2
41.2
42.0
42.6
40.8
36.8
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
36.3
36.6
36.6
36.6
Publishing industries, except Internet
Newspaper, book, and directory publishers.,
Newspaper publishers
Periodical publishers
Book publishers
Software publishers
511
5111
51111
51112
51113
5112
35.7
35.4
34.9
33.8
40.5
36.3
36.1
35.4
34.2
35.5
39.2
37.7
35.6
35.1
34.5
35.2
36.3
36.8
35.8
35.4
34.7
35.3
37.7
36.8
Motion picture and sound recording industriesMotion picture and video industries
Motion picture and video production
Motion picture and video exhibition
512
5121
51211
51213
30.2
30.3
38.0
19.8
30.1
30.1
38.0
19.9
30.6
30.5
36.9
19.7
30.6
30.6
37.4
19.5
Broadcasting, except Internet
Radio and television broadcasting
Radio broadcasting
Television broadcasting
515
5151
51511
51512
35.1
33.4
28.4
37.9
35.5
34.1
29.1
38.7
35.6
33.4
28.6
37.5
35.6
33.5
29.0
37.4
Telecommunications
Wired telecommunications carriers
Wireless telecommunications carriers...
Cellular and other wireless carriers..
Telecommunications resellers
517
5171
5172
517212
5173
39.7
40.4
39.6
39.7
39.4
39.9
40.2
39.3
39.4
40.7
40.6
41.8
39.2
39.3
39.0
40.4
41.7
39.4
39.5
38.9
See footnotes at end of table.
158
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry-—Continued
Average hourly earnings
Industry
2002
NAICS
code
Retail trade-Continued
Transportation and warehousing..
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
48,49
$16.57
$16.57
$16.88
$16.87
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
484121
484122
4842
48421
48422
48423
16.68
17.18
16.07
17.52
16.62
19.57
15.43
15.19
15.45
15.57
16.58
17.09
16.08
17.38
16.48
19.52
15.23
14.83
15.31
15.40
16.96
17.33
16.03
17.72
17.05
19.28
16.07
14.87
16.17
16.83
17.06
17.44
16.27
17.78
17.06
19.48
16.11
14.67
16.31
16.90
Transit and ground passenger transportation
Urban transit systems
School and employee bus transportation
Other ground passenger transportation
485
4851
4854
4859
12.92
17.50
12.56
11.71
12.87
17.37
12.57
11.65
13.14
16.77
12.82
11.93
13.15
16.36
13.09
11.68
48411
48412
Average weekly earnings
Jan.
2006 P|
$16.91
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$624.69 $619.72 $624.56 $624.191$610.45
702.23 679.78 702.14 699.46
723.28 705.82 720.93 720.27
689.40 659.28 666.85 663.82
734.09 719.53 737.15 737.87
688.07 683.92 709.28 706.281
843.47 806.18 802.05 810.37
646.52 610.72 657.26 647.62
549.88 513.12 533.83 525.19
698.34 672.11 724.42 714.38
644.60 591.36 641.22 632.06
425.07
722.75!
376.80
360.67
420.85
710.43
380.87
371.64
387.63
613.78
317.94
382.95
408.97
600.41
361.28
387.78
Pipeline transportation
486
24.27
24.45
487
14.16
24.63
14.04
24.10
Scenic and sightseeing transportation
15.29
16.46
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
17.74
14.69
13.30
27.54
34.65
30.44
15.16
16.96
17.61
14.78
13.42
27.03
34.55
30.29
15.41
16.90
17.76
15.42
14.44
27.43
34.26
30.72
15.36
16.89
17.80
15.62
14.90
27.35
34.08
30.63
15.37
16.88
4882,9
492
4921
14.06
14.02
14.28
14.06
525.84
504.72
541.21
551.15
Couriers and messengers..
Couriers
15.66
16.18
15.47
15.94
15.24
15.59
15.37
15.71
441.61
444.95
423.88
425.60
416.05
416.25
447.27
449.31
Warehousing and storage
General warehousing and storage
Refrigerated warehousing and storage
Miscellaneous warehousing and storage..
493
49311
49312
49313,9
14.83
14.82
15.43
14.37
14.79
14.79
15.26
14.39
15.17
15.33
15.27
13.61
15.16
15.27
15.57
13.83
562.06
557.23
595.60
583.42
541.31
535.40
576.83
577.04
585.56
588.67
589.42
559.37
570.02
568.04
597.89
562.88
22
2211
22111
221112
22112
221121
221122
2212
2213
25.98
27.10
28.34
27.83
25.49
28.00
24.98
25.33
17.94
26.13
27.14
28.39
27.96
25.52
27.21
25.18
25.68
17.83
27.37
28.25
29.29
28.51
26.81
28.52
26.43
27.59
18.22
27.32
28.07
28.84
28.45
27.04
28.67
26.69
28.30
17.83
$27.08
1,052.19
1,078.58
1,113.76
1,146.60
1,027.25
1,145.20
1,004.20
1,104.39
699.66
1,066.10
1,101.88
1,144.12
1,179.91
1,046.32
1,096.56
1,037.42
1,088.83
682.89
1,141.33
1,178.03
1,218.46
1,243.04
1,120.66
1,294.81
1,086.27
1,169.82
736.09
23.09
786.98
796.78
821.67
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
21.68
21.77
22.45
22.68
Publishing industries, except Internet
Newspaper, book, and directory publishers..
Newspaper publishers
Periodical publishers.....
Book publishers
Software publishers
511
5111
51111
51112
51113
5112
23.94
18.44
17.10
22.92
16.59
37.85
24.05
18.45
17.13
22.70
16.66
37.52
24.48
18.83
17.76
21.65
17.54
38.33
24.47
18.78
17.63
21.83
17.70
38.46
Motion picture and sound recording industriesMotion picture and video industries
Motion picture and video production
Motion picture and video exhibition
512
5121
51211
51213
20.00
20.16
25.87
19.26
19.48
23.13
7.54
19.67
19.88
23.76
7.14
18.49
18.57
23.77
7.14
Broadcasting, except Internet
Radio and television broadcasting
Radiobroadcasting
Television broadcasting
515
5151
51511
51512
20.13
20.83
19.29
21.88
20.65
21.44
20.28
22.25
21.74
22.77
21.70
23.47
Telecommunications
Wired telecommunications carriers
Wireless telecommunications carriers...
Cellular and other wireless carriersTelecommunications resellers
517
5171
5172
517212
5173
21.32
23.39
17.89
17.91
22.43
21.67
23.66
18.48
18.47
22.76
22.57
23.94
22.13
22.59
22.27
See footnotes at end of table.
159
Jan.
2006 P
1,123.70 1,142.83 1,123.06 1,132.04
331.34
352.40
406.71
513.55
647.51 649.81 650.02 653.26
530.31
533.56 555.12 563.88
472.15 472.38 498.18 518.52;
991.44 981.19 949.08 949.05]
1,036.04 1,057.23 1,096.32 1,070.11
1,056.27 1,017.74
903.17 934.22
591.24 637.97 605.18 593.28
607.17 608.40 616.49 619.50
1,128.32$h,104.86
1,148.06 J
1,162.25
1,194.90
1,127.57
1,267.21
1,099.63
1,188.60
759.56
830.09
871.49 876.03
854.66 868.21
652.78 653.13 660.93 664.81
596.79 585.85 612.72 611.76
774.70 805.85 762.08 770.60
671.90 653.07 636.70 667.29
1,373.96 1,414.50 1,410.54 1,415.33
7.49
604.00
610.85
983.06
141.37
556.55
558.96
903.26
142.09
589.36
594.14
853.50
148.54
601.90
608.33
888.62
146.06
21.79
22.66
21.30
23.55
706.56
695.72
547.84
829.25
733.08
731.10
590.15
861.08
773.94
760.52
620.62
880.13
775.721
759.11
617.70
880.77
22.96
24.21
22.65
23.12
22.18
846.40
944.96
708.44]
711.03
883.74
864.63 916.34 927.58
951.13 1,000.69 1,009.56
726.26 867.50 892.41
727.72 887.79 913.24
926.33 868.53 862.80
849.71
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—'Continued
Average overtime hours
Average weekly hours
Industry
Information-Continued
Cable and other program distribution
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Jan.
Dec.
Dec.
2005 P! 2006 P| 2004
5175
38.2
38.9
40.5
39.3
ISPs, search portals, and data processing..
ISPs and web search portals
t
Data processing and related services
518
5181
5182
38.0
39.4
37.4
36.9
37.0
36.8
Other information services
519
37.6
38.5
37.2
25.6
35.5
36.4
35.9
35.6
35.7
35.0
24.6
36.4
37.3
24.4
37.0
36.6
36.8
35.8
35.8
35.0
34.7
35.2
36.5
36.8
36.4
25.4
35.7
36.5
36.0
35.2
35.0
35.4
522292
35.5
36.5
38.4
38.1
35.8
33.6
36.5
36.6
37.7
40.1
38.3
37.0
34.5
37.6
36.0
37.5
38.5
38.8
37.2
34.9
37.8
36.0
37.7
38.8
38.5
37.4
36.0
38.0
38.0
37.4
38.9
36.9
37.9
39.6
37.1
35.8
36.2
35.9
36.6
36.3
37.0
36.3
36.0
38.3
36.0
38.3
Financial activities?.
Finance and insurance
52
35.7
36.5
Credit intermediation and 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 intermediationConsumer lending
Real estate credit
Miscellaneous nondepository credit
intermediation
Activities related to credit intermediation
Mortgage and nonmortgage loan brokers..,
Other credit intermediation activities
522
5221
52211
52212
522293,4,8
5223
52231
52239
35.9
36.5
37.6
36.0
Securities, commodity contracts, investments
Securities brokerage
Securities and commodity contracts brokerage
and exchanges
Other financial investment activities
Portfolio management
Investment advice
,
523
52312
36.4
38.1
5231,2
5239
52392
52393
39.4
35.5
38.0
32.9
37.3
33.8
35.2
32.0
37.2
34.0
35.7
31.6
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.,
524
5241
52411
524113
524126
37.6
34.5
36.9
31.9
37.0
38.1
37.9
37.8
38.0
38.5
39.0
37.5
38.4
38.5
38.9
38.2
38.4
38.6
37.5
38.7
38.2
38.3
38.2
39.3
39.6
37.3
38.7
38.3
38.1
38.4
39.1
39.4
524127,8
52413
36.1
35.6
37.7
37.1
37.7
39.5
37.7
39.7
5242
52421
35.2
34.5
37.0
37.2
37.3
36.1
35.5
37.6
38.3
37.4
35.0
34.5
36.3
37.7
3518
525
5259
36.5
36.2
38.5
39.3
35.4
34.9
36.8
37.5
36.5
38.2
35.9
52213,9
5222
52221
52222
52229
522291
524114
52412
52429
524291
Third-party administration of insurance f u n d s - 524292
Funds, trusts, and other financial vehicles
Other investment pools and funds
Real estate and rental and leasing
37.7
35.5
53
33.0
33.7
33.4
33.4
Real estate
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
531
5311
5312
5313
53131
531311
531312
33.0
32.8
34.1
31.7
29.6
32.2
33.8
33.3
33.3
33.4
33.8
33.6
34.8
32.4
30.8
33.1
34.5
34.2
34.0
34.8
33.4
34.0
34.9
32.6
32.2
32.3
33.6
33.2
33.0
33.7
33.2
33.7
34.4
32.5
33.0
32.2
33.4
33.1
32.7
33.9
Rental and leasing services
Automotive equipment rental and leasing..
Passenger car rental and leasing
532
5321
53211
32.6
34.9
35.2
33.3
36.4
36.7
33.3
34.7
35.5
33.4
34.2
35.0
53111
53112
53119
See footnotes at end of table.
160
36.5
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average hourly earnings
2002
NAICS
code
Industry
Information-Continued
Cable and other program distribution
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2 0 0 5 P|
5175
$16.60
$16.88
$17.64
$18.66
ISPs, search portals, and data processingISPs and web search portals
Data processing and related services
518
5181
5182
20.59
21.54
20.17
20.75
22.11
20.15
21.01
23.80
19.82
21.29
24.06
20.10
Other information services
519
15.83
16.10
16.64
16.88
17.66
17.81
18.17
18.21
52
18.78
18.93
19.37
Credit intermediation and 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 nondepository credit
intermediation
Activities related to credit intermediation
Mortgage and nonmortgage loan brokers...
Other credit intermediation activities
522
5221
52211
52212
15.43 , 15.44
13.87
13.74
13.45
13.62
15.00
14.98
52213,9
5222
52221
52222
52229
522291
522292
13.94
18.90
14.92
16.61
20.30
13.04
22.65
522293,4,8
5223
52231
52239
Securities, commodity contracts, investments
Securities brokerage
Securities and commodity contracts brokerage
and exchanges
Other financial investment activities
Portfolio management
Investment advice
Average weekly earnings
Jan
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$634.12 $656.63 $714.42 $733.34
774.18
829.29
750.32!
788.50
871.13
753.61
775.27
880.60
729.38
777.09
885.41
731.64
405.25]
396.06
406.02
428.75
626.93^
648.28
648.67
650.10 $672.33
19.40
683.59
706.09
707.01
708.10
16.19
14.45
14.02
16.25
16.19
14.45
14.06
16.23
553.94
489.14
480.17
525.00
571.28!
507.64
501.22
536.28
579.60
505.75
486.49
572.00
582.84
508.64
492.10
574.54
14.10
18.68
15.21
16.79
19.82
12.62
22.01
14.77
19.73
16.46
17.59
20.71
10.95
23.67
14.61
19.63
16.29
17.64
20.59
11.10
23.45
494.87
689.85
572.93
632.84
726.74
438.14
826.73
516.06
704.24
609.92
643.06
733.34
435.39
827.58
531.72
739.88
633.71
682.49
770.41
382.16
894.73
525.96
740.05
632.05
679.14
770.07
399.60]
891.10
18.48
15.87
18.23
13.89
18.71
15,89
18.41
13.71
18.66
16.36
19.18
13.73
19.19
16.72
19.93
13.73
663.43
579.26
685.451
500.04
710.98
594.29
716.15
505.90
692.29
585.69
694.32
492.91
702.35!
606.94
737.41
498.40
523
52312
26.11
24.55
26.78
25.11
27.46
25.37
27.39
25.13
950.40 1,014.96
994.36
935.36
988.56
971.67
986.04
962.48
5231,2
5239
52392
52393
27.36
23.97
25.72
22.58
27.98
24.68
26.47
23.22
28.71
25.25
27.70
23.53
28.58
25.30
27.62
23.57
Insurance carriers and related activities
Insurance carriers
Direct life and health insurance carriers
Direct life insurance carriers
Direct health and medical insurance carriersDirect 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
20.47
21.42
20.44
20.92
20.10
22.63
22.68
20.63
21.61
20.39
21.18
19.84
23.12
23.32
20.67
21.76
21.05
21.28
20.91
22.61
23.03
20.78
21.86
21.30
21.45
21.20
22.56
22.92
757.39!
816.10J
774.68!
790.78
763.80
871.26
884.52
773.63
829.82
785.02
823.90
757.891
887.81
900.15
775.13
842.11
804.11
815.02
798.76
888.57
911.99
775.09
845.98
815.79
817.25
814.08
882.10
903.05
524127,8
52413
22.34
19.23
22.12
19.51
20.60
20.41
20.84
20.51
806.47
684.59
833.92
723.82
776.62
806.20
785.67
814.25!
5242
52421
52429
524291
524292
18.79
18.47
19.62
21.00
18.66
18.94
18.63
19.77
20.65
18.96
18.74
18.34
19.77
20.37
19.07
18.83
18.40
19.95
20.39
19.23
661.41
637.22
725.94]
781.20
696.02
683.73
661.37
743.35
790.90
709.10
663.40
640.07
727.54
763,88
696.06
659.05
634.80
724.19
768.70
688.43
Funds, trusts, and other financial vehicles
Other investment pools and funds
525
5259
21.76
21.80
21.18
21.22
20.93
21.77
21.13
22.13
794.24
789.16]
815.43
833.95
799.53
781.54
796.60
785.62
Financial activities?.
Finance and insurance
Real estate and rental and leasing
$18.42
1,028.74 1,102.41 1,070.88 1,063.18
826.97 876.14 853.45
860.20
949.07 1,005.86 975.04
986.03
720.30 763.94 752.96
744.81
53
14.25
14.38
14.65
14.71
470.25!
484.61
489.31
491.31
Real estate
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
531
5311
53111
53112
53119
5312
5313
53131
531311
531312
14.54
13.37
13.29
14.35
10.71
14.95
15.75
15.79
14.43
19.06
14.67
13.50
13.25
14.94
11.09
14.95
15.94
15.87
14.56
19.02
14.64
14.02
13.61
16.09
11.46
14.70
15.37
15.16
14.01
17.87
14.71
14.00
13.54
16.16
11.57
14.87
15.46
15.24
14.03
18.02
479.821
438.54
453.19J
454.90
317.02
481.39
532.35
525.81
480.52
636.60
495.85!
453.60!
461.10|
484.06 j
341.57'
494.85
549.93
542.75
495.04
661.90
488.98
476.68
474.99
524.53
369.01
474.81
516.43
503.31
462.33
602.22
488.37
471.80
465.78
525.20)
381.81
478.81
516.36
504.44
458.78
610.88
Rental and leasing services
Automotive equipment rental and leasing..
Passenger car rental and leasing
532
5321
53211
13.44
13.19
13.42
13.61
13.23
13.50
14.36
13.89
14.07
14.41
13.98
14.16
438.14
460.33
472.38
453.21
481.57
495.45
478.19
481.98
499.49
481.29
478.12
495.60
See footnotes at end of table.
161
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on privaite nonfarm payrolls by detailed
industry-—Continued
Average overtime hours
Average weekly hours
Industry
Financial activities-Continued
Consumer goods rental
Video tape and disc rental
Miscellaneous consumer goods rental
General rental centers
Machinery and equipment rental and leasing..
2002
NAICS
code
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
5322
53223
53221,2,9
5323
5324
27.9
23.0
34.4
37.7
37.8
28.5
24.1
34.4
37.7
37.1
27.9
22.3
34.7
38.3
40.5
28.6
23.6
34.6
38.3
40.2
34.1
34.1
34.3
34.2
54
35.4
35.8
35.7
35.5
5411
54111
54119
5412
541211
541213
541214
541219
5413
54131
54132
54133,4
34.9
34.7
36.7
33.2
34.3
26.3
33.3
33.2
38.5
37.2
35.6
38.9
35.7
35.7
36.2
32.5
36.1
23.5
33.5
33.8
38.5
38.4
36.0
38.9
34.8
34.6
37.3
33.1
33.7
27.6
33.3
33.3
38.4
37.8
38.1
38.4
34.8
34.6
36.7
32.3
33.2
22.7
33.9
33.7
38.0
37.4
37.5
38.1
54135,6,7
54138
5414
54141
54143
5415
541511
541512
541519
5416
54161
38.1
39.3
34.8
33.4
35.3
37.3
37.9
36.7
37.0
35.0
34.8
37.5
37.9
35.0
34.6
35.6
38.4
38.3
38.7
37.7
35.7
35.3
38.1
39.4
33.8
33.7
34.3
38.0
37.2
38.4
39.0
35.7
35.6
36.5
39.3
33.7
34.2
34.2
38.3
37.6
38.8
39.4
35.6
35.5
541611
541612
541613
541614
541618
54162
54169
5417
54171
54172
5418
54181
54182
54186
33.6
34.2
34.6
38.5
36.7
35.9
36.2
37.4
38.2
31.5
33.3
34.4
33.2
36.5
34.4
34.6
34.4
40.4
36.5
36.6
38.2
38.3
38.9
33.5
34.1
35.8
35.6
37.5
35.6
34.6
34.8
37.8
36.1
36.2
36.3
37.8
38.4
33.6
34.2
35.6
36.2
38.7
35.4
34.7
34.9
38.0
35.1
36.0
36.0
38.0
38.4
34.9
34.2
35.4
37.2
37.6
54187,9
5419
54191
54192
54194
29.4
28.0
27.1
28.4
26.7
28.2
28.2
27.1
25.9
27.6
27.3
28.8
27.2
30.8
27.2
28.4
28.5
26.6
30.2
27.0
Professional and business services
Professional and technical servicesLegal 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
54193,9
35.1
36.3
36.0
35.8
Management of companies and enterprises
55
35.7
36.2
35.6
35.7
Offices of bank holding companies and of
other holding companies
Managing offices
Administrative and waste services
551111,2
551114
56
36.9
35.6
32.8
38.3
36.1
32.3
34.9
35.6
33.2
34.9
35.7
33.0
561
5611
5612
5613
56131
56132
56133
32.4
33.8
38.7
32.9
33.7
32.4
34.5
31.9
34.6
38.2
31.6
33.6
31.1
32.9
32.8
34.7
42.4
32.7
33.0
32.6
33.2
32.6
35.3
41.4
33.0
33.4
33.2
31.9
Administrative and support services
Office administrative services
Facilities support services
Employment services
Employment placement agencies
Temporary help services
Professional employer organizations..
See footnotes at end of table.
162
Jan
2006 P|
34.5
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
2002
NAICS
code
Industry
Financial activities-Continued
Consumer goods rental
Video tape and disc rental
Miscellaneous consumer goods rental
General rental centers
Machinery and equipment rental and leasing..
5322
53223
53221,2,9
5323
5324
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 researchSocial 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 pollingPhotographic services
Veterinary services
Miscellaneous professional and technical
services
Jan.
2005
Nov.
2005
$11.75
10.62
12.77
14.72
16.47
$12.16
11.00
13.24
15.17
16.44
$12.31
9.98
14.10
15.45
17.85
Dec.
2005 P|
Jan
2006 P|
$12.50
10.16
14.42
15.42
17.67
Dec.
2004
Jan.
2005
Nov.
2005
Dec,
2005 P|
$327.83 $346.56 $343.45 $357.50
222.55 239.78
244.26I 265.10
489.27
439.29| 455.46
498.93
591.74
554.94 571.91
590.59
722.93
622.57I 609.92
710.33
17.77
18.11
18.25
18.43
605.96|
617.55J
625.98
630.31 $651.36
54
23.73
23.92
24.58
24.62
840.04
856.34
877.51
874.01
5411
54111
54119
5412
541211
541213
541214
541219
5413
54131
54132
54133,4
23.27
23.88
16.50
17.50
20.07
12.22
16.31
15.17
23.60
22.76
16.43
25.31
23.80
2^.36
17,33
16.84
20.07
9.92
16.66
15.51
23.85
23.18
16.37
25.47
24.31
24.90
17.92
18.28
20.32
13.40
15.85
17.29
24.11
23.83
17.23
25.81
24.58
25.16
18.20
18.08
20.50
13.29
15.73
16.99
24.11
23.84
16.73
25.86
812.12
828.64
605.55
581.00
688.40
321.391
543.121
503.64
908.60
846.67|
584.91
984.56I
849.66
869.65
627.35
547.30
724.53
233.12
558.11
524.24
918.23
890.11
589.32
990.78
845.99
861.54
668.42
605.07
684.78
369.84
527.81
575.76
925.82
900.77
656.46
991.10
855.38
870.54
667.94
583.98
680.60
301.68
533.25
572.56
916.18
891.62
627.38
985.27
54135,6,7
54138
5414
54141
54143
5415
541511
541512
541519
5416
54161
17.58
20.06
19.17
17.51
19.62
30.84
32.47
30.25
28.59
23.73
23.72
17.88
20.33
19.42
17.71
19.70
31,25
33.01
30.74
28.57
24.16
24.20
19.20
19.39
21.03
18.83
21.69
32.32
34.18
32.18
28.01
24.02
23.59
18.87
19.28
20.86
19.26
21.30
32.11
33.71
32.15
27.65
24.26
23.75
669.80 670.501
788.36! 770.51
667.12 679.70
584.83! 612.77
692.59 701.32
1,150.33 1,200.00
1,230.61 1,264.28
1,110.18 1,189.64
1,057.83 1,077.09
830.55I 862.51
825.46 854.26
731.52
763.97
710.81
634.57
743.97
1,228.16
1,271.50
1,235.71
1,092.39
857.51
839.80
688.76
757.70
702.98
658.69
728.46
1,229.81
1,267.50
1,247.42
1,089.41
863.66
843.13
541611
541612
541613
541614
541618
54162
54169
5417
54171
54172
5418
54181
54182
54186
25.14
25.13
20.17
20.00
25.31
22.84
24.61
27.53
27.96
23.45
18.97
22.84
22.67
14.48
25.26
25.88
20.50
20.19
27.05
23.08
24.74
28.08
28.49
24.20
19.15
23.01
22.40
14.35
24.12
24.46
21.10
21.04
26.57
24.70
26.80
28.72
29.28
23.81
19.96
23.65
25.38
15.20
24.10
24.54
22.02
21.25
26.39
24.75
27.76
28.74
29.42
23.07
20.11
23.99
25.91
14.83
844.70 868.94 858.67 853.14
859.45 895.45 846.32 851.54
697.88 705.20 734.28 768.50
807.50
770.00 815.68 795.31
928.88 987.33 959.18 926.29
819.96 844.73 894.14 891.00
890.88 945.07 972.84 999.36
1,029.62 1,075.46 1,085.62 1,092.12
1,068.07 1,108.26 1,124.35 1,129.73
738.68! 810.70 800.02 805.14
631.70 653.02 682.63 687.76
785.70| 823.76 841.94 849.25
752.64 797.44 918.76 963.85
528.52 538.13 588.24 557.61
54187,9
5419
54191
54192
54194
13.81
15.59
21.01
12.51
13.52
13.95
15.81
21.54
13.34
13.49
13.62
15.48
18.74
13.84
13.22
13.10
15.69
18.89
14.25
13.46
406.01
436.52
569.37
355.28
360.98
393.39
445.84
583.73
345.51
372.32
Professional and business services
Professional and technical services..
Dec.
2004
$18.88
371.83
445.82
509.73
426.27
359.58
372.04
447.17
502.47
430.35
363.421
54193,9
19.00
18.27
21.16
21.02
666.90!
663.20
761.76
752.52
Management of companies and enterprises
55
17.35
17.49
18.67
18.77
619.40
633.14
664.65
670.09
Offices of bank holding companies and of
other holding companies
Managing offices
Administrative and waste services
551111,2
551114
56
21.59
17.15
13.03
21.90
17.27
13.11
21.56
18.53
13.21
21.68
18.62
13.40
796.67
610.54
427.38
838.77
623.45
423.45
752.44
659.67
438.57
756.63
664.73
442.20
561
5611
5612
5613
56131
56132
56133
12.80
17.36
19.20
12.93
15.66
11.91
15.48
12.87
17.64
18.83
13.02
15.57
12.04
15.39
12.98
18.45
17.30
12.93
16.00
12.05
15.03
13.16
18.56
17.77
13.08
16.27
12.11
15.61
414.72
586.77
743.04
425.40
527.74
385.88I
534.06
410.55
610.34
719.31
411.43
523.15
374.44
506.33
425.74
640.22
733.52
422.81
528.00
392.83
499.00
429.02
655.17
735.68
431.64
543.42
402.05
497.96
Administrative and support services
Office administrative services
Facilities support services
Employment services
Employment placement agencies
Temporary help services
Professional employer organizations..
See footnotes at end of table.
163
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly hours
Industry
2002
NAICS
code
Average overtime hours
Dec.
2004
Jan.
2005
Nov.
2005
Jan
Dec.
2005 P| 2006 P
5614
56142
561421
561422
56143
56144
56149
5615
56151
56159
5616
56161
30.6
28.8
33.5
28.1
32.8
35.2
30.4
32.4
33.1
31.4
33.8
33.6
30.9
28.6
33.7
27.9
32.9
35.8
32.0
33.3
33.8
32.8
34.5
34.2
30.8
28.5
33.0
27.8
33.5
34.0
29.3
32.3
34.2
29.3
34.3
33.8
30.3
28.3
32.7
27.6
31.0
33.7
29.9
32.3
33.8
30.2
34.7
34.3
561612,3
56162
5617
56171
56172
56173
56174
56179
5619
56191
56192
56199
33.5
35.3
31.1
35.4
28.2
35.4
29.6
33.5
30.8
34.9
25.4
30.8
34.2
36.6
30.4
36.3
28.4
33.2
28.3
32.7
32.1
34.6
27.8
32.4
33.8
38.1
32.2
34.7
27.5
39.0
28.1
34.9
32.6
36.9
29.2
32.0
34.4
37.5
31.0
33.5
27.5
36.4
28.7
34.0
31.7
36.6
30.7
30.1
562
5621
5622
562212,3,9
5629
56291
42.0
42.2
41.6
43.1
42.2
41.3
42.0
41.8
42.4
44.3
42.0
41.8
42.9
42.7
42.7
45.0
43.2
42.2
42.7
42.0
42.1
44.2
43.9
44.5
32.5
32.9
32.5
32.5
62
621,2,3
32.8
33.2
33.2
33.6
32.8
33.2
32.8
33.3
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
621
6211
621111
621112
6212
6213
62131
62132
62133
62134
62139
6214
62142
62149
621410,98
6215
621511
6216
6219
62191
62199
621991
31.5
33.6
33.6
31.7
27.3
28.1
25.3
30.4
29.4
27.6
29.8
34.4
31.9
35.6
35.2
35.1
35.0
29.1
35.1
35.8
34.1
36.0
31.8
33.8
33.8
33.6
27.4
28.5
25.7
30.1
29.1
28.4
30.7
34.9
32.5
36.1
36.7
35.7
36.0
29.3
35.2
36.2
33.8
35.3
31.6
33.3
33.4
30.5
27.3
28.7
27.2
30.4
28.7
28.0
30.7
34.2
32.9
34.8
34.6
36.4
36.9
29.3
37.2
37.2
37.1
38.2
31.8
33.8
33.9
30.9
27.7
28.9
26.7
30.8
29.8
28.1
31.0
33.9
32.4
34.6
34.3
36.9
37.2
28.9
36.0
36.1
35.9
37.2
Hospitals
General medical and surgical hospitals
Psychiatric and substance abuse hospitals..
Other hospitals
622
6221
6222
6223
35.6
35.7
35.8
32.6
35.8
35.9
35.9
33.0
35.9
36.0
36.1
33.9
35.8
35.9
35.5
33.5
Nursing and residential care facilities
Nursing care facilities
Residential mental health facilities
Residential mental retardation facilities..
Residential mental and substance abuse care
623
6231
6232
62321
62322
32.5
32.2
33.4
33.5
33.3
33.2
32.9
34.5
34.6
34.3
31.8
32.0
31.7
30.9
33.5
32.0
32.2
31.7
30.9
33.4
Professional and business
services-Continued
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 disposalRemediation and other waste services
Remediation services
Education and health services
Health care and social assistance..
Healthcare
See footnotes at end of table.
164
32.9
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P|
Jan.
20O6P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
Industry
Professional and business
services-Continued
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
Dec.
2004
Jan.
2005
Nov.
2005
$12.90
10.91
13.55
10.45
13.04
14.03
15.63
14.33
15.37
13.06
11.50
10.85
$13.06
10.98
13.16
10.59
13.24
14.30
15.60
14.18
15.11
12.98
11.37
10.67
$12.92
10.92
12.68
10.61
12.73
14.47
14.70
14.78
16.04
13.47
12.10
11.24
$12.96
11.08
12.40
10.85
12.22
14.34
15.32
15.09
16.41
13.81
12.33
11.53
561612,3
56162
5617
56171
56172
56173
56174
56179
5619
56191
56192
56199
10.40
16.04
11.26
16.65
9.60
12.36
12.11
14.05
14.08
11.06
18.53
14.35
10.27
16.12
11.30
16.56
9.62
12.73
11.95
14.14
13.85
11.41
19.09
13.60
10.70
17.66
11.65
16.10
9.84
12.77
12.19
13.86
15.04
12.89
17.95
15.19
11.02
17.65
11.72
16.02
9.94
13.20
11.75
13.57
15.84
13.46
21.43
15.40
348.40
566.21
350.19
589.41
270.72
437.54
358.46
470.68
433.66
385.99]
470.66
441.98
351.23
589.99
343.52
601.13
273.21
422.64
338.19
462.38
444.59
394.79]
530.70
440.64
361.66
672.85
375.13
558.67
270.60
498.03
342.54
483.71
490.30
475.64
524.14
486.08
562
5621
5622
562212,3,9
5629
56291
17.45
15.06
17.73
16.41
20.13
23.00
17.51
14.90
17.76
16.34
20.58
23.61
17.96
15.92
17.87
16.44
20.41
23.31
18.16
16.10
17.98
16.48
20.67
23.67
732.901
635.531
737.57
707.27
849.49
949.90
735.42]
622.82
753.02
723.86
864.36
986.90
770.48 775.43]
679.78 676.20
763.05 756.96
739.80 728.42
881.71 907.41
983.68 1,053.32
5614
56142
561421
561422
56143
56144
56149
5615
56151
56159
5616
56161
Education and health services
Dec. !
2005 P
Jan
2006 P|
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$394.74 $403.55 $397.94 $392.69
313.56
314.03 311.22
314.21
405.48
453.93 443.49 418.44
294.96
299.46
293.65 295.46
426.46
378.82
427.71 435.60
493.86 511.94 491.98 483.26
430.71
458.07
475.151 499.20
477.39 487.41
464.29 472.19
554.66
508.751 510.721 548.57
417.06
410.08 425.741 394.67
415.03 427.85
388.70 392.27
364.56J 364.91 379.91 395.48
379.09
661.88
363.32
536.67
273.35
480.48
337.23
461.38
502.13
492.64
657.90
463.54
16.43
16.46
16.94
17.03
533.98
541.53
550.55
553.48
62
621,2,3
16.78
17.68
16.79
17.68
17.33
18.29
17.43
18.36
550.38
586.98
557.43
594.05]
568.42
607.23
571.70
611.39
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
621
6211
621111
621112
6212
6213
62131
62132
62133
62134
62139
6214
62142
62149
621410,98
6215
621511
6216
6219
62191
62199
621991
17.76
18.79
18.83
16.44
19.24
16.33
12.82
13.15
16.74
18.94
17.64
18.81
16.06
20.01
19.15
18.51
17.42
14.68
14.75
13.36
16.99
15.37
17.68
18.65
18.69
16.61
19.07
16.44
12.90
13.42
17.07
18.90
17.60
18.85
16.15
20.03
19.24
18.32
17.26
14.65
14.79
13.37
17.16
15.53
18.07
19.27
19.32
16.68
19.78
16.85
12.71
14.07
17.18
19.65
17.84
19.09
16.40
20.36
18.85
18.73
17.70
14.38
15.15
13.87
17.18
15.53
18.27
19.49
19.54
16.66
20.06
16.83
12.84
14.18
17.25
19.60
17.39
19.26
16.54
20.53
18.91
19.09
17.87
14.41
15.29
14.01
17.34
15.65
559.44
631.34
632.69
521.15
525.25]
458.87
324.35
399.76
492.16
522.74
525.67
647.06
512.31
712.36
674.08
649.70
609.70
427.19
517.73
478.29
579.36
553.32
562.22
630.37
631.72
558.10]
522.52
468.54
331.53
403.94
496.74
536.76
540.32]
657.87)
524.88
723.08
706.11
654.02
621.36
429.25
520.61
483.99
580.01
548.21
571.01
641.69
645.29
508.74
539.99
483.60
345.71
427.73
493.07
550.20
547.69
652.88
539.56
708.53
652.21
681.77
653.13
421.33
563.58
515.96
637.38
593.25
580.99
658.76
662.41
514.79
555.66
486.39
342.83
436.74
514.05
550.76]
539.09
652.91
535.90
710.34
648.61
704.42
664.76
416.45
550.44
505.76
622.51
582.18
Hospitals
General medical and surgical hospitals
Psychiatric and substance abuse hospitals.,
Other hospitals
622
6221
6222
6223
20.80
20.91
17.31
19.88
20.92
21.02
17.54
20.00
21.71
21.82
17.86
20.97
21.71
21.82
18.01
20.93
740.48:
746.49
619.70;
648.09
748.94
629.69
660.00
779.39
785.52
644.75
710.88
777.22
783.34
639.36
701.16
Nursing and residential care facilities
Nursing care facilities
Residential mental health facilities
Residential mental retardation facilities
Residential mental and substance abuse care..
623
6231
6232
62321
62322
12.19
12.89
11.21
10.86
11.98
12.19
12.90
11.23
10.86
12.05
12.56
13.27
11.48
11.02
12.40
12.58
13.24
11.63
11.16
12.57
396.18
415.06
374.41
363.81
398.93
404.71
424.41
387.44
375.76
413.32
399.41
424.64
363.92
340.52
415.40
402.56
426.33
368.67
344.84
419.84
Health care and social assistanceHealth care
See footnotes at end of table.
165
$17.09
754.62J
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average overtime hours
Average weekly hours
Industry
Education and health services-Continued
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
Dec.
2004
Jan.
2005
Nov.
2005
6233
623311
623312
6239
31.9
32.3
31.5
34.2
32.6
32.4
32.7
35.1
31.1
31.5
30.7
33.4
31.3
31.4
31.2
33.8
624
6241
62411
62412
62419
6242
62421
30.6
30.7
29.1
31.2
30.9
30.3
29.2
31.1
31.3
30.4
31.9
30.9
30.6
29.3
30.2
30.3
29.3
30.1
31.1
29.9
29.5
29.8
30.0
29.6
29.9
30.5
29.3
29.1
62422,3
6243
6244
30.6
29.5
31.0
31.0
30.6
31.1
30.0
30.2
30.2
29.4
29.8
29.7
Dec. i
2005 P|
25.4
25.3
25.4
25.2
71
25.5
25.5
24.8
25.0
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
27.8
23.3
14.2
28.8
23.1
14.4
27.9
23.1
15.0
28.0
23.3
16.7
71111,2,9
7112
711212
28.7
29.7
27.5
28.3
31.7
27.2
28.5
30.1
26.2
27.9
30.4
27.3
7113,4
7115
30.1
31.4
30.0
33.6
28.9
34.6
29.1
33.5
Museums, historical sites, zoos, and parks
Museums
Zoos, botanical gardens, nature parks, and
similar institutions
712
71211
27.7
27.2
29.0
28.8
26.7
26.6
26.7
26.5
71213,9
31.8
31.6
29.3
29.2
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...
713
7131
71311
7132
71321
71329
7139
71391
71392
71393
71394
71395
71399
24.7
26.8
26.0
35.2
37.9
28.4
22.9
27.6
20.1
33.0
19.5
22.9
26.6
24.3
27.1
26.4
35.0
37.8
28.2
22.3
26.4
22.5
33.4
18.7
23.7
26.9
23.9
24.7
24.3
34.9
38.4
26.8
22.1
27.3
24.1
31.3
17.5
22.7
25.1
24.1
25.3
24.8
34.2
37.9
25.8
22.4
28.7
22.6
31.7
17.8
23.3
25.1
72
Leisure and hospitality
Arts, entertainment, and recreation-
25.4
25.2
25.5
25.2
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
721
29.2
29.2
30.6
29.4
7211
72111
72119
7212
721211
721214
29.2
28.6
25.8
29.2
28.4
30.3
29.2
28.5
23.9
28.9
28.7
29.1
30.7
30.2
23.9
26.6
25.9
27.4
29.5
29.2
23.5
25.9
25.9
25.8
Food services and drinking places
Full-service restaurants
Limited-service eating places
Limited-service restaurants
Cafeterias
Snack and nonalcoholic beverage bars
Special food services
Food service contractors
Caterers and mobile food services
Drinking places, alcoholic beverages
722
7221
7222
722211
722212
722213
7223
72231
72232,3
7224
24.7
25.1
24.4
24.5
26.5
22.9
25.2
25.2
25.1
22.3
24.5
24.8
24.3
24.4
26.4
22.8
24.3
25.2
21.8
22.8
24.5
24.7
24.4
24.5
26.1
23.0
25.6
27.2
21.7
22.4
24.4
24.7
24.1
24.2
25.4
22.9
25.6
26.9
22.5
22.1
30.8
30.9
30.8
30.8
Accommodations and food services?.
Other services..
See footnotes at end of table.
166
Jan.
2006 P|
25.3
31.0
Dec.
2004
Jan.
2005
Nov.
2005
Dec. I
2005 Pi
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
2002
NAICS
code
Industry
Dec.
2004
Jan.
2005
Nov.
2005
$11.04
11.75
10.32
12.45
$11.02
11.88
10.18
12.45
$11.53
12.31
10.70
12.70
$11.60
12.43
10.74
12.59
624
6241
62411
62412
62419
6242
62421
11.25
12.26
13.74
11.11
13.28
13.10
11.54
11.34
12.39
13.82
11.21
13.51
13.23
11.69
11.44
12.44
13.66
11.26
13.66
13.89
11.98
11.56
12.58
13.76
11.35
13.90
13.95
11.86
344.25
376.38
399.83
346.63
410.35
396.93
336.97
352.67
387.81
420.131
357.60
417.46
404.84
342.52
345.49
376.93]
400.24!
338.93
424.83
415.31
353.41
344.49
377.40I
407.30I
339.37
423.95]
408.74
345.131
62422,3
6243
6244
13.53
10.90
10.05
13.65
10.91
10.07
14.42
10.76
10.28
14.51
10.88
10.38
414.02
321.55
311.55
423.15;
333.85
313.18
432.60
324.95
310.46
9.12
9.12
9.29
9.38
231.65
230.74
235.97
71
13.25
13.19
13.39
13.45
337.88]
336.35
332.07
426.59
324.22
308.29
236.38 $236.30
336.25
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
18.78
20.29
24.47
18.75
19.97
24.75
19.38
21.86
25.46
19.28
22.46
26.04
522.08
472.76
347.47
540.00
461.31
356.40I
540.70
504.97
381.90
539.84
523.32!
434.87
71111,2,9
7112
711212
19.04
17.12
11.47
18.52
17.55
11.08
20.59
17.82
11.66
20.95
17.22
11.94
546.45
508.46I
315.43
524.12
556.34
301.38|
586.82!
536.38
305.49
584.51
523.49
325.96
7113,4
7115
18.86
19.68
18.87
19.60
18.69
19.20
18.40
19.17
567.69! 566.10! 540.14! 535.44
617.95 658.56 664.32 642.20
Museums, historical sites, zoos, and parks
Museums
Zoos, botanical gardens, nature parks, and
similar institutions
712
71211
13.93
14.82
14.20
14.80
14.29
15.17
14.40
15.05
385.86
403.10
411.80
426.24]
381.54
403.52
384.48
398.83
71213,9
12.93
13.47
13.40
13.82
411.17!
425.65
392.62
403.54
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..
713
7131
71311
7132
71321
71329
7139
71391
71392
71393
71394
71395
71399
11.48
10.82
10.88
10.73
10.82
10.45
11.74
11.84
10.59
13.51
12.33
8.71
11.53
11.33
10.86
10.97
10.63
10.70
10.42
11.57
11.66
10.18
13.36
12.28
8.76
11.51
11.46
11.03
11.08
10.94
10.92
11.01
11.66
11.38
10.57
14.57
12.09
9.11
12.39
11.60
11.17
11.14
11.01
10.94
11.26
11.81
11.74
9.11
14.69
12.46
9.09
12.75
283.56I
289.98
282.88
377.70
410.081
296.78
268.85J
326.78;
212.86
445.83]
240.44
199.46!
306.70
275.32 273.89
294.31 272.44
289.61 269.24
372.05] 381.81
404.46 419.33!
293.84 295.07
258.01 257.69
307.82 310.67
229.05 254.74
446.22 456.04
229.64 211.58
207.61 206.80
309.62 310.99
279.56I
282.60
276.27'
376.54
414.63
290.51
264.54
336.94:
205.89
465.67
221.79
211.80
320.03
Education and health services-Continued
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
6233
623311
623312
6239
Leisure and hospitality
Arts, entertainment, and recreation..
Dec.
2005 P
Jan.
2006 P
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005 P
$352.18 $359.25 $358.58 $363.08
379.53J 384.91 387.77 390.30
325.08 332.89 328.49 335.09
425.79 437.00 424.18 425.54
$9.34
72
8.49
8.50
8.67
8.76
215.65
214.201
221.09
220.75I
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
721
10.83
10.91
10.92
11.07
316.24
318.57
334.15J
325.46
7211
72111
72119
7212
721211
721214
10.84
10.52
10.40
10.31
9.80
10.97
10.91
10.58
10.33
10.71
10.23
11.34
10.93
10.68
10.14
10.31
9.76
10.87
11.08
10.83
10.14
10.69
10.12
11.35
316.531
300.87
268.321
301.05
278.32
332.39|
318.57
301.53
246.89
309.52
293.60
329.99
335.55
322.54
242.35
274.25
252.78
326.86J
316.24
238.29
276.87
262.11
292.83J
Food services and drinking places
Full-service restaurants
Limited-service eating places
Limited-service restaurants.....
Cafeterias
Snack and nonalcoholic beverage bars..
Special food services
Food service contractors
Caterers and mobile food services
Drinking places, alcoholic beverages
722
7221
7222
722211
722212
722213
7223
72231
72232,3
7224
7.96
7.95
8.25
8.08
7.45
8.19
10.66
8.07
7.47
7.38
7.64
8.25
10.53
8.15
8.34
10.46
10.33
11.13
7.87
11.17
196.61
202.81
181.78!
180.32
204.05
187.55
268.63
263.59
279.36!
175.50
194.78
200.14
181.52
180.07
201.70
188.10]
255.88
260.32
243.51
181.03
199.68]
206.00
185.20
183.75
209.32
189.06
271.62
283.42
243.04
178.75J
201.30
208.96]
184.37
183.19!
203.20
188.93]
274.94]
281.37]
259.43 j
179.23
14.17
436.44
439.40!
445.37
447.22
Accommodations and food services?.
Other services
7.36
7.70
7.59
7.50
8.46
7.65
7.57
7.94
8.02
8.22
10.61
10.42
11.20
7.98
8.00
8.25
10.74
10.46
11.53
8.11
14.22
14.46
14.52
See footnotes at end of table.
157
14.57
297.84J
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—-Continued
Average weekly hours
Industry
2002
NAICS
code
Dec.
Dec.
Jan.
2005 P| 2006 P| 2004
Dec.
2004
Jan.
2005
Nov.
2005
811
8111
81111
811111
811112
35.6
34.8
36.7
36.5
35.9
35.6
34.7
36.4
36.2
35.7
35.9
35.0
37.1
36.8
35.0
35.9
35.0
36.8
36.6
33.3
811118
81112
811121
811122
81119
811192
38.2
37.7
38.0
36.1
28.9
26.4
38.0
37.8
38.0
36.7
28.8
26.2
38.7
37.7
37.8
37.1
28.8
27.1
38.7
37.9
38.1
36.8
28.8
27.1
8111918
8112
811212
33.6
38.7
38.3
33.7
38.9
39.2
32.0
37.8
38.0
32.2
37.8
38.1
811211,3,5
8113
8114
39.0
38.7
33.7
38.7
39.1
33.7
37.6
39.2
36.1
37.5
40.0
34.8
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 launderers
Other personal services
Photofinishing
Parking lots and garages
812
81221
81222
8123
81231
29.1
25.8
26.5
26.4
22.2
28.5
28.7
27.6
33.0
24.6
28.8
25.6
26.2
26.1
22.6
29.6
30.2
27.2
32.3
24.5
28.1
23.9
25.0
24.8
18.8
29.4
28.8
31.7
33.0
26.7
28.4
24.7
25.7
25.5
19.5
29.6
29.1
31.5
32.9
25.8
81232
81233
812331
812332
8129
81292
81293
31.3
38.3
37.1
40.3
31.9
36.2
34.4
30.5
37.5
36.4
39.3
31.4
32.7
34.0
32.0
36.4
37.7
34.4
31.1
36.0
33.8
32.2
36.2
37.5
34.2
30.7
36.0
33.4
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
813
8132
813211
813219
8133
813311
29.6
29.4
25.6
30.1
30.7
25.9
30.0
30.4
26.7
31.6
31.4
27.4
29.8
31.7
30.0
32.6
31.2
29.5
29.8
31.6
29.8
32.7
31.4
29.5
813312,9
8134
8139
81391
81392
81393
32.2
20.9
31.8
32.3
33.7
31.3
32.6
21.2
32.9
33.3
35.2
33.0
31.7
20.3
32.7
33.3
35.1
31.5
32.0
20.1
32.6
33.3
34.8
31.6
81394,9
31.2
31.7
32.3
32.1
Other services-Continued
Repair and maintenance
Automotive repair and maintenance
Automotive mechanical and electrical repair ,
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
8121
81211
812111,2
81219
8122
See footnotes at end of table.
168
Average overtime hours
Jan.
2005
Nov.
2005
Dec.
2005 P
Jan.
2006 P
ESTABLISHMENT DATA
HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-14. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed
industry—Continued
Average weekly earnings
Average hourly earnings
Industry
2002
NAICS
code
81 1
81 11
81 111
81 1111
81 1112
$14.63
13.93
14.97
15.23
12.45
$14.73
14.01
15.01
15.32
12.41
$14.96
14.24
15.12
15.40
13.37
$14.92
14.11
14.95
15.17
13.09
81 1118
81 112
81 1121
81 1122
81 119
81 1192
13.62
15.78
16.07
13.83
9.28
8.57
13.28
15.89
16.13
14.14
9.34
8.68
13.44
16.51
16.81
14.42
9.23
8.75
13.72
16.35
16.62
14.50
9.28
8.77
520.28
594.91
610.66
499.26
268.19
226.25
504.64
600.64
612.94
518.94
268.99
227.42
520.13
622.43
635.42
534.98
265.82
237.13
530.96
619.67
633.22
533.60
267.26
237.67
81 11918
81 12
81 1212
10.36
16.16
14.39
10.31
16.44
14.73
10.01
16.84
15.40
10.11
16.80
15.36
348.10
625.39
551.14
347.45
639.52
577.42
320.32
636.55
585.20
325.54
635.04
585.22
81 1211,3,9
81 13
81 14
17.60
16.85
15.44
17.81
17.04
15.12
18.08
16.96
15.62
18.06
17.20
15.77
686.40
652.10
520.33
689.25 j 679.81
666.26 664.83
509.54 563.88
677.251
688.00
548.80
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 launderers
Other personal services
Photofmishing
Parking lots and garages
812
8121
81211
812111,2
81219
8122
81221
81222
8123
81231
11.79
12.37
12.53
12.72
11.43
15.09
15.37
14.02
10.26
9.72
11.68
11.92
12.00
12.16
11.44
15.69
16.02
14.30
10.26
9.66
11.79
12.31
12.35
12.61
12.09
15.72
16.12
14.43
10.21
9.84
11.89
12.51
12.60
12.88
11.86
15.71
15.90
15.03
10.29
10.15
343.09
319.15
332.05
335.81
253.75
430.07
441.12
386.95
338.58
239.11
336.38
305.15
314.40
317.38
258.54
464.42
483.80
388.96
331.40
236.67
331.30
294.21
308.75
312.73
227.29
462.17
464.26
457.43
336.93
262.73
337.68
309.00
323.82
328.44
231.27
465.02
462.69
473.45
338.54
261.87
81232
81233
812331
812332
8129
81292
81293
9.03
11.97
11.69
12.38
11.50
13.82
10.02
9.06
11.91
'1.58
'2.40
'1.46
'4.16
10.01
9.20
11.71
11.70
11.72
11.28
14.36
9.89
9.22
11.82
11.91
11.65
11.29
14.21
9.90
282.64
458.45
433.70
498.91
366.85
500.28
344.I
276.33
446.63
421.51
487.32
359.84
463.03
340.34
294.40
426.24
441.09
403.17
350.81
516.96
334.28
296.88
427.88
446.63
398.43|
346.60
511.56
330.66
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
813
8132
813211
813219
8133
813311
14.98
18.61
20.57
16.11
13.51
14.25
15.07
18.98
21.14
16.39
13.75
14.27
15.34
18.72
20.85
16.86
14.07
14.46
15.45
18.91
21.04
17.15
14.21
14.46
443.41
547.13
526.59
484.91
414.76
369.08
452.10
576.99
564.44
517.92
431.75
391.00
457.13
593.42
625.50
549.64
438.98
426.57
460.41
597.56
626.99
560.81
446.19
426.57
813312,9
8134
8139
81391
81392
81393
13.33
11.37
18.43
19.33
20.95
24.48
13.62
11.38
18.74
20.01
21.53
24.92
13.96
11.40
19.00
20.01
22.05
26.22
14.14
11.56
19.40
20.59
22.01
26.80
429.23
237.63
586.07
624.36
706.02
766.22
444.01
241.26
616.55
666.33
757.86
822.36
442.53
231.42
621.30
666.33
773.96
825.93
452.48!
232.36!
632.44
685.65!
765.95
846.88
81394,9
12.19
12.03
12.07
12.15
380.33
381.35
389.86
390.02
Dec.
2004
Dec.
2005 P|
Nov.
2005
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.
Jan
2006 P|
Nov.
2005
Jan.
2005
Other services-Continued
Repair and maintenance
Automotive repair and maintenance
Automotive mechanical and electrical repair
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 maintenanceHousehold goods repair and maintenance
Dec.
2005 P
Jan.
2005
Dec.
2004
$520.83 $524.39 $537.06 $535.63
486.15 498.40 493.85
484.76
546.36 560.95 550.16
549.40
554.58 566.72 555.22
555.90
443.04 467.95 435.90
446.96
- Data not available.
P = preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels.
See the article in this issue for additional information.
69
ESTABLISHMENT DATA
EARNINGS
NOT SEASONALLY ADJUSTED
B-15. Average hourly earnings, excluding overtime 1 of production workers on manufacturing payrolls
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005p
Jan.
2006p
$15.54
$15.58
$15.78
$15.87
$15.93
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
16.23
12.51
15.26
17.46
14.74
15.96
17.04
14.41
20.66
12.79
13.45
16.25
12.49
15.26
17.58
14.78
16.08
17.25
14.43
20.59
12.88
13.52
16.57
12.63
15.30
17.82
15.12
16.06
17.77
14.61
21.21
12.92
13.53
16.68
12.58
15.41
17.74
15.23
16.12
17.86
14.70
21.29
12.94
13.60
16,69
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
14.42
12.26
18.05
11.67
10.90
9.69
11.34
16.97
15.10
22.54
18.44
14.06
14.48
12.34
17.60
11.75
10.77
9.88
11.44
16.94
15.16
22.84
18.43
14.14
14.46
12.30
17.46
11.86
11.06
10.14
11.03
16.68
15.05
22.30
18.76
14.08
14.50
12.29
17.36
11.82
11.10
10.12
10.88
16.74
15.27
22.57
18.78
14.12
$14.62
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
Industry
Manufacturing .
1
Derived by asssuming that overtime hours are paid at the rate of
time and one-half
2
Data not available.
p
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
= preliminary.
NOTE: Data have been revised to reflect March 2005 benchmark levels.
See the article in this issue for additional information.
170
ESTABLISHMENT DATA
EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hourly and weekly earnings of production or nonsupervisory workers 1 on private nonfarm payrolls by major
industry sector and selected industry detail, in current and constant (1982) dollars
Average hourly earnings
Industry
Average weekly earnings
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005p
$16.52
$536.41
279.38
$537.26
279.39
$550.94
276.02
$551.33
277.47
17.81
8.96
17.73
702.43
365.85
683.75
355.56
721.06
361.25
719.52
362.11
18.90
9.47
18.90
9.51
19.24
835.79
435.31
835.25
434.35
854.28
428.00
859.95
432.79
19.10
9.93
19.61
9.82
19.67
9.90
19.51
737.26
383.99
702.88
365.51
768.71
385.13
749.43
377.17
16.46
8.57
16.42
8.54
16.70
8.37
16.81
8.46
16.77
678.15
353.20
666.65
346.67
688.04
344.71
695.93
350.24
Private service-providing:
Current dollars
Constant (1982) dollars
15.45
8.05
15.65
8.14
15.90
7.97
15.97
8.04
16.20
500.58
260.72
507.06
263.68
513.57
257.30
515.83
259.60
Trade, transportation, and utilities:
Current dollars
Constant (1982) dollars
14.59
7.60
14.85
7.72
15.00
7.52
14.96
7.53
15.19
490.22
255.32
493.02
256.38
498.00
249.50
499.66
251.46
Wholesale trade:
Current dollars
Constant (1982) dollars .
17.85
9.30
18.00
9.36
18.46
9.25
18.60
9.36
18.67
671.16
349.56
680.40
353.82
697.79
349.59
703.08
353.84
Retail trade:
Current dollars
Constant (1982) dollars
12.10
6.30
12.34
6.42
12/28
6.15
12.25
6.17
12.46
375.10
195.36
372.67
193.80
372.08
186.41
376.08
189.27
Transportation and warehousing:
Current dollars
Constant (1982) dollars
16.57
8.63
16.57
8.62
16.88
8.46
16.87
8.49
16.91
624.69
325.36
619.72
322.27
624.56
312.91
624.19
314.14
Utilities:
Current dollars
Constant (1982) dollars
25.98
13.53
26.13
13.59
27.37
13.71
27.32
13.75
27.08
1,052.19
548.02
1,066.10
554.39
1,141.33
571.81
1,128.32
567.85
Information:
Current dollars
Constant (1982) dollars
21.68
11.29
21.77
11.32
22.45
11.25
22.68
11.41
23.09
786.98
409.89
796.78
414.34
821.67
411.66
830.09
417.76
Financial activities:
Current dollars
Constant (1982) dollars
17.66
9.20
17.81
9.26
18.17
9.10
18.21
9.16
18.42
(2)
626.93
326.53
648.28
337.12
648.67
324.98
650.10
327.18
Professional and business services:
Current dollars
Constant (1982) dollars
17.77
9.26
18.11
9.42
18.25
9.14
18.43
9.28
18.88
605.96
315.60
617.55
321.14
625.98
313.62
630.31
317.22
Education and health services:
Current dollars
Constant (1982) dollars
16.43
8.56
16.46
8.56
16.94
8.49
17.03
8.57
17.09
533.98
278.11
541.53
281.61
550.55
275.83
553.48
278.55
Leisure and hospitality:
Current dollars
Constant (1982) dollars
9.12
4.75
9.12
4.74
9.29
4.65
9.38
4.72
9.34
231.65
120.65
230.74
119.99
235.97
118.22
236.38
118.96
Other services:
Current dollars
Constant (1982) dollars
14.17
7.38
14.22
7.39
14.46
7.24
14.52
7.31
14.57
436.44
227.31
439.40
228.50
445.37
223.13
447.22
225.07
Dec.
2004
Jan.
2005
Nov.
2005
Dec.
2005p
Jan.
2006p
Total private:
Current dollars
Constant (1982) dollars .
$15.87
8.27
$15.99
8.32
$16.30
8.17
$16.36
8.23
Goods-producing:
Current dollars
Constant (1982) dollars
17.43
9.08
17.31
9.00
17.76
8.90
Natural resources and mining:
Current dollars
Constant (1982) dollars
18.45
9.61
18.52
9.63
Construction:
Current dollars
Constant (1982) dollars .
19.30
10.05
Manufacturing:
Current dollars
Constant (1982) dollars .
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
Data not available.
p
= preliminary.
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
NOTE: The Consumer Price Index for Urban Wage Earners and Clerical
Workers (CPI-W) is used to deflate these earnings series. Data have been
revised to reflect March 2005 benchmark levels. See the article in this
issue for additional information.
171
ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas
Average weekly earnings
Average hourly earnings
Average weekly hours
State and area
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
42.0
45.4
45.1
$14.99
16.28
14.45
$15.51
17.48
14.77
$15.44
17.13
14.90
$626.58
696.78
595.34
$646.77
809.32
24.8
23.9
13.69
15.65
16.67
492.84
388.12
42.0
42.0
41.8
43.5
43.4
39.5
43.5
43.0
39.7
14.22
13.89
14.81
14.90
14.76
15.04
14.75
14.65
14.90
597.24
583.38
619.06
648.15
640.58
594.08
Arkansas
Fayetteville-Springdale-Rogers
Fort Smith
Little Rock-North Little Rock
39.6
40.8
39.1
42.4
41.3
42.2
41.5
44.6
40.9
42.5
38.1
42.3
13.50
12.83
13.06
15.03
13.68
12.62
13.90
15.37
13.68
12.55
13.90
14.88
534.60
523.46
510.65
637.27
564.98
532.56
576.85
685.50
California
Bakersfield
Los Angeles-Long Beach-Santa Ana ....
Modesto
Oxnard-Thousand Oaks-Ventura
Riverside-San Bernardino-Ontario
Sacramento—Arden-Arcade—Roseville
Salinas
San Diego-Carlsbad-San Marcos
San Francisco-Oakland-Fremont
San Jose-Sunnyvale-Santa Clara
Santa Barbara-Santa Maria-Goleta
Santa Rosa-Petaluma
Stockton
40.3
39.8
41.2
44.3
41.2
39.9
40.1
38.6
39.5
39.7
38.7
41.6
37.3
38.9
40.0
41.8
41.1
41.5
42.5
41.9
40.8
39.8
39.6
40.2
39.3
40.5
36.4
39.7
39.9
42.5
41.3
40.7
43.1
41.2
40.2
39.1
39.6
41.3
39.6
41.0
36.4
39.6
15.60
15.40
14.09
15.70
16.31
13.63
16.38
15.76
14.84
17.73
22.15
15.66
17.26
14.25
15.73
15.76
14.36
15.60
15.94
13.73
16.35
15.71
14.90
17.68
22.34
15.60
17.13
14.37
15.89
15.66
14.43
15.73
15.96
13.71
16.48
15.77
14.92
17.77
22.32
15.64
17.12
14.41
628.68
612.92
580.51
695.51
671.97
543.84
656.84
608.34
586.18
703.88
857.21
651.46
643.80
554.33
629.20
658.77
590.20
647.40
677.45
575.29
667.08
625.26
590.04
710.74
877.96
631.80
623.53
570.49
Colorado
Denver-Aurora
40.9
40.1
39.7
41.2
39.8
41.6
16.15
17.51
15.76
17.58
16.32
17.96
660.54
702.15
625.67
724.30
Connecticut
Bridgeport-Stamford-Norwalk
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
42.6
41.4
44.5
44.2
43.2
38.4
42.3
41.2
41.9
41.4
42.7
44.3
42.6
40.8
45.5
39.2
43.0
43.2
18.90
20.21
20.51
15.16
18.56
17.67
19.31
19.55
22.06
16.56
19.22
19.00
19.44
19.71
24.56
16.98
19.27
18.43
805.14
836.69
912.70
670.07
801.79
678.53
816.81
805.46
924.31
685.58
820.69
841.70
Delaware
38.8
40.2
39.7
18.09
18.52
18.34
701.89
744.50
Florida
41.3
41.7
42.2
13.91
13.71
13.78
574.48
571.71
Georgia
Atlanta-Sandy Springs-Marietta
39.5
39.1
39.0
38.2
39.1
38.3
14.34
15.10
14.35
15.68
14.58
15.68
566.43
590.41
559.65
Hawaii
39.7
38.7
37.5
37.9
39.0
38.6
13.39
13.66
14.43
14.52
14.45
14.89
531.58
528.64
541.13
550.31
Dec.
2004
Nov.
2005
Alabama
Birmingham-Hoover
Mobile
41.8
42.8
41.2
41.7
46.3
40.6
Alaska
36.0
Arizona
Phoenix-Mesa-Scottsdale
Tucson
.*.
Honolulu
Dec.
2005 P
39.6
41.6
40.8
14.35
14.99
15.01
568.26
623.58
41.7
41.7
40.9
41.0
40.6
41.2
41.0
40.2
40.2
40.3
41.3
41.0
40.1
40.4
40.5
15.71
16.35
15.78
17.73
17.51
15.73
16.13
15.69
17.69
17.49
15.79
16.15
15.63
17.67
17.60
655.11
681.80
645.40
726.93
710.91
648.08
661.33
630.74
711.14
704.85
42.6
40.4
39.4
42.8
39.9
42.0
40.9
41.9
42.6
41.0
42.2
41.3
41.2
42.3
41.0
18.03
14.92
20.51
18.20
21.37
18.68
15.61
20.39
18.05
20.76
18.81
15.37
20.38
18.01
20.77
768.08
602.77
808.09
778.96
852.66
784.56
638.45
854.34
768.93
851.16
Iowa
Des Moines
42.5
45.9
41.9
42.2
42.5
49.8
16.26
17.76
16.13
17.62
16.58
18.21
691.05
815.18
675.85
743.56
Kansas
Wichita
41.3
43.5
42.1
52.3
41.8
47.9
17.01
19.33
17.27
16.77
17.65
18.11
702.51
840.86
727.07
877,07
Kentucky
Lexington-Fayette
Louisville
40.5
40.5
40.7
40.8
40.4
40.6
40.9
40.3
16.40
15.96
18.84
16.90
15.74
18.97
16.83
15.68
19.25
664.20
646.38
751.72
687.83
642.19
766.39
Louisiana
46.2
41.2
40.9
16.18
17.49
17.69
747.52
720.59
Maine
Portland-South Portland-Biddeford
40.7
43.8
40.4
41.7
40.7
40.2
17.04
13.72
17.45
14.01
17.52
13.92
693.53
600.94
704.98
584.22
Maryland
40.7
41.6
40.6
16.80
17.47
17.56
683.76
726.75
Idaho
Illinois
Chicago-Naperville-Joliet
Davenport-Moline-Rock Island
Peoria
Rockford
Indiana
Elkhart-Goshen
Evansville
Fort Wayne ...„
Indianapolis '.
,
See footnotes at end of table.
172
ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued
Average weekly earnings
Average hourly earnings
Average weekly hours
State and area
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
Dec.
2005 P
41.1
41.2
40.9
40.4
$17.38
18.82
16.20
16.10
$17.74
18.88
16.93
16.46
$17.84
18.90
16.95
16.57
$728.22
788.56
712.80
664.93
$732.66
755.20
699.21
694.61
$733.22
778.68
693.26
669.43
42.2
42.7
46.9
43.1
39.3
40.5
42.9
43.8
47.5
44.6
39.0
41.0
21.89
25.21
31.56
17.89
16.35
25.86
21.72
24.83
31.84
17.90
14.75
24.11
22.02
25.64
32.33
17.73
14.77
24.92
945.65
1,119.74
916.58
1,060.24
1,493.30
771.49
579.68
976.46
41.3
41.6
42.1
41.3
41.5
41.2
16.00
17.79
16.89
17.98
17.59
17.99
660.80
740.06
711.07
742.57
729.99
741.19
Mississippi
Jackson
41.5
37.9
40.6
36.8
42.7
36.4
13.33
14.82
13.72
17.09
13.79
16.82
553.20
561.68
557.03
628.91
588.83
612.25
Missouri
41.0
40.5
37.6
40.5
39.1
42.2
17.93
21.90
17.53
21.92
17.37
21.36
735.13
886.95
659.13
887.76
679.17
901.39
Dec.
2004
Nov.
2005
Dec.
2005 P
Massachusetts
Boston-Cambridge-Quincy
Springfield
Worcester
41.9
41.9
44.0
41.3
41.3
40.0
41.3
42.2
Michigan
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Kalamazoo-Portage
Lansing-East Lansing
43.2
44.6
47.5
42.0
39.8
43.3
Minnesota
Minneapolis-St. Paul-Bloomington
,.
St. Louis 1
Montana
Nebraska
Lincoln
Omaha-Council Bluffs
Nevada
Las Vegas-Paradise
New Hampshire
Manchester
New Jersey
New Mexico
Albuquerque
New York
North Carolina
Asheville
Charlotte-Gastonia-Concord
Durham
Greensboro-High Point
Hickory-Lenoir-Morganton
Raleigh-Cary
Winston-Salem
North Dakota
Fargo
Ohio
Akron
Canton-Massillon
Cincinnati-Middletown
Cleveland-Elyria-Mentor
Columbus
Dayton
Toledo
Youngstown-Warren-Boardman ...
Oklahoma
Oklahoma City
Tulsa
Oregon
Eugene-Springfield
Medford
Portland-Vancouver-Beaverton ....
Salem
650.73
944.66
1,123.03
1,535.68
790.76
576.03
1,021.72
39.4
40.2
40.0
14.97
15.40
15.55
589.82
619.08
622.00
42.2
42.7
41.8
39.3
41.9
36.7
39.8
40.6
38.6
15.16
16.01
18.30
15.73
15.78
18.45
15.26
15.38
18.17
639.75
683.63
764.94
618.19
661.18
677.12
607.35
624.43
701.36
41.0
41.0
39.8
39.8
39.6
40.8
15.01
14.49
15.20
14.88
15.23
14.50
615.41
594.09
604.96
592.22
603.11
591.60
40.3
39.2
42.6
42.9
42.0
39.2
15.54
17.18
15.95
17.23
16.25
17.37
626.26
673.46
679.47
739.17
682.50
680.90
42.6
42.1
42.2
15.51
15.90
15.93
660.73
39.4
40.6
39.1
38.6
39.0
38.9
13.33
15.95
13.90
15.74
13.96
15.74
525.20
647.57
543.49
607.56
544.44
612.29
40.5
40.3
40.0
17.74
18.29
18.09
718.47
737.09
723.60
40.7
42.5
41.1
41.3
39.7
39.2
38.3
39.1
41.3
42.5
39.9
43.2
38.5
38.0
37.2
41.0
40.6
43.1
40.7
42.1
37.7
36.1
36.4
38.5
14.38
14.72
15.75
16.28
14.37
13.39
13.22
17.05
14.32
15.14
16.19
16.54
14.56
13.48
13.85
17.84
14.23
15.39
15.66
16.61
14.51
13.55
13.96
17.70
585.27
625.60
647.33
672.36
570.49
524.89
506.33
591.42
643.45
645.98
714.53
560.56
512.24
515.22
731.44
577.74
663.31
637.36
699.28
547.03
489.16
508.14
681.45
39.0
37.6
40.6
42.9
39.8
41.7
14.58
13.61
15.14
13.37
17.63
13.30
568.62
511.74
614.68
573.57
701.67
554.61
42.6
41.5
41.8
43.9
41.7
41.6
40.9
43.8
45.7
41.6
41.1
39.2
42.0
41.2
40.1
42.1
42.9
45.3
40.8
40.2
38.9
42.0
40.9
41.0
41.8
40.5
40.8
19.12
15.16
16.97
19.82
19.25
19.45
21.44
22.22
26.26
19.34
15.31
19.09
19.20
19.46
19.15
19.95
22.75
28.06
19.39
15.41
19.20
19.38
19.42
19.45
20.13
21.96
27.42
814.51
629.14
709.35
870.10
802.73
809.12
876.90
973.24
1,200.08
804.54
629.24
748.33
806.40
801.75
767.92
839.90
975.98
1,271.12
791.11
619.48
746.88
813.96
794.28
797.45
841.43
889.38
1,118.74
40.2
38.8
43.6
39.8
39.2
42.8
39.9
39.5
41.9
14.30
15.72
16.44
14.52
15.73
17.29
14.05
15.72
17.45
574.86
609.94
716.78
577.90
616.62
740.01
560.60
620.94
731.16
39.7
41.0
42.8
39.4
39.4
40.8
41.0
40.9
41.5
39.7
41.2
41.2
41.3
41.4
39.5
15.53
14.89
15.33
16.03
14.82
15.59
14.80
16.08
16.39
12.88
16.03
14.81
15.90
16.49
12.65
616.54
610.49
656.12
631.58
583.91
636.07
606.80
657.67
680.19
511.34
660.44
610.17
656.67
682.69
499.68
See footnotes at end of table.
1,124.37
1,499.10
751.38
173
672.25
ESTABLISHMENT DATA
STATE AND AREA HOURS AND EARNINGS
NOT SEASONALLY ADJUSTED
B-17. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued
Average weekly hours
State and area
Average weekly earnings
Average hourly earnings
Dec.
2005 P
Dec.
2004
Nov.
2005
Dec.
2005 P
Dec.
2004
Nov.
2005
40.7
40.9
44.5
38.9
40.8
41.7
40.6
37.9
41.5
40.8
40.9
44.5
39.3
41.1
40.5
40.6
38.2
41.2
$15.24
14.95
16.37
15.31
15.52
16.61
16.06
13.77
15.63
$15.25
15.39
16.45
15.87
16.10
16.48
16.55
14.10
15.35
$15.26
15.30
16.55
15.84
16.18
16.70
16.62
14.17
15.40
$612.65
608.47
715.37
589.44
609.94
662.74
660.07
508.11
648.65
$620.68
629.45
732.03
617.34
656.88
687.22
671.93
534.39
637.03
38.9
39.5
38.4
38.9
38.2
38.7
13.12
13.48
13.30
13.65
13.33
13.68
510.37
532.46
510.72
530.99
40.5
40.0
15.33
14.76
14.69
620.87
590.40
43.6
42.6
41.6
13.61
14.03
14.21
593.40
597.68
40.2
41.0
39.2
42.0
40.8
39.2
41.3
39.1
42.8
41.3
39.3
41.2
39.8
40.0
41.3
14.06
12.47
15.17
14.65
14.56
14.04
13.00
15.87
15.30
14.18
13.97
12.98
15.55
15.75
14.26
565.21
511.27
594.66
615.30
594.05
550.37
536.90
620.52
654.84
585.63
40.3
39.2
39.7
39.4
40.7
39.9
41.8
38.8
40.8
40.2
40.4
39.3
14.00
14.89
17.57
10.89
13.99
15.07
17.21
10.80
14.03
15.26
17.17
10.85
564.20
583.69
697.53
429.07
601.29
719.38
419.04
Utah
Ogden-Clearfield
Provo-Orem
Salt Lake City
38.5
40.1
40.2
37.5
39.1
39.9
49.3
38.3
38.5
40.4
44.6
39.8
15.11
14.83
13.64
15.61
14.50
13.90
13.69
16.41
14.28
13.90
13.36
15.11
581.74
594.68
548.33
585.38
566.95
554.61
674.92
628.50
Vermont
Burlington-South Burlington
40.3
38.4
38.8
39.4
39.0
39.2
14.61
15.17
15.21
16.48
15.31
16.56
588.78
582.53
590.15
649.31
Virginia
Lynchburg
Richmond
Virginia Beach-Norfolk-Newport News
42.2
45.5
36.7
44.5
40.9
46.9
36.4
42.2
41.2
46.2
36.8
41.3
16.28
15.97
15.68
19.05
16.52
17.25
16.01
20.18
16.69
17.05
16.56
20.31
687.02
726.64
575.46
847.73
675.67
809.03
582.76
851.60
Pennsylvania
AHentown-Bethlehem-Easton
Erie
Harrisburg-Cariisle
Lancaster
Pittsburgh
Reading
Scranton—Wiikes-Barre
York-Hanover
Rhode Island
Providence-Fall River-Warwick
Dec.
2004
Nov.
2005
40.2
40.7
43.7
38.5
39.3
39.9
41.1
36.9
41.5
South Carolina
South Dakota
Tennessee
Chattanooga
Knoxville
Memphis
Nashville-Davidson—Murfreesboro ....
Texas
Dallas-Fort Worth-Arlington
Houston-Baytowh-Sugar Land
San Antonio
Washington
39.2
39.8
39.9
18.85
19.26
19.97
738.92
766.55
West Virginia
Hunington-Ashland
41.7
43.1
42.0
43.6
41.7
42.8
16.91
17.08
17.30
18.07
17.28
18.05
705.15
736.15
726.60
787.85
40.8
41.0
40.6
39.4
41.3
40.3
16.42
17.50
16.43
17.54
16.27
17.31
669.94
717.50
667.06
691.08
40.9
42.2
40.9
16.52
17.35
17.44
675.67
732.17
42.0
42.4
41.8
11.23
11.20
11.19
471.66
474.88
47.1
45.5
41.8
24.44
23.01
21.50
1,151.12
1,046.96
Wisconsin
Milwaukee-Waukesha-West Allis
Wyoming
Puerto Rico
Virgin Islands
.'.
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, unacQusted 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 http://www.bls.gov/lau/lausmsa.htm and in the May issue of Employment
and Earnings. Areas in the six New England states are Metropolitan New England City
and 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-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W.
Va.-Ohio, are the exceptions in that they are listed under Illinois and Ohio, respectively,
for operational reasons.
174
ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
B-18. Average hours and earnings of production workers on manufacturing payrolls in selected states, metropolitan
areas, and metropolitan divisions
(Numbers in thousands)
Average weekly hours
State, area, and division
Average hourly earnings
Average weekly earnings
Dec.
2004
Nov.
2005
Dee.
2005 P
Dec.
2004
Nov.
2005
39.9
41.3
41.4
41.0
41.3
42.4
39.3
$15.60
14.09
13.98
14.40
17.73
18.62
15.89
$15.73
14.36
14.27
14.62
17.68
18.39
16.14
$15.89
14.43
14.33
14.71
17.77
18.53
16.14
$628.68
580.51
574.58
599.04
703.88
742.94
622.89
$629.20
590.20
587.92
596.50
710.74
757.67
618.16
39.7
39.6
17.25
16.95
17.10
660.68
672.92
41.7
41.7
41.7
44.3
40.0
41.2
41.0
41.0
415
40,5
41.3
41.0
41.1
41.6
40.5
15.71
16.35
15.64
23.64
15.39
15.73
16.13
15.61
22.91
15.47
15.79
16.15
15.64
22.86
15.53
655.11
681.80
652.19
1,047.25
615.60
648.08
661.33
640.01
950.77
626.54
Massachusetts
Boston-Cambridge-Quincy1
Boston-Cambridge-Quincy
Nashua1
41.9
41.9
42.4
43.2
41.3
40.0
39.2
45,1
41.1
41.2
40.0
44.9
17.38
18.82
18.02
15.99
17.74
18.88
18.05
17.25
17.84
18.90
18.04
17.44
728.22
788.56
764.05
690.77
732.66
755.20
707.56
777.98
Michigan
Detroit-Warren-Livonia
Detroit-Livonia-Dearbom
Warren-;Farmington Hills-Troy
43.2
44.6
44.6
44.5
42.2
42.7
43.2
42.4
42.9
43.8
44.2
43.6
21.89
25.21
25.61
24.97
21.72
24.83
25.78
24.27
22.02
25.64
26.69
24.99
945.65
1,124.37
1,142.21
1,111.17
916.58
1,060.24
1,113.70
1,029.05
Pennsylvania
Philadelphia
Wilmington 2
40.2
40.9
40.1
40.7
40.5
40 8
40.8
40.9
40.8
15.24
16.62
20.67
15.25
16.68
21.00
15.26
16.84
20.69
612.65
679.76
828.87
620.68
675.54
856.80
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-irving
Fort Worth-Arlington
40.3
39.2
37.9
41.9
40,7
39,9
382
43.5
40.8
40.2
38.3
43.8
14.00
14.89
13.64
17.23
13.99
15.07
13.58
17.66
14.03
15.26
13.62
17.92
564.20
583.69
516.96
721.94
569.39
601.29
518.76
768.21
Dec.
2004
Nov.
2005
Dec.
2005 P
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
40.3
41.2
41.1
41.6
39.7
39.9
39.2
40.0
41.1
41.2
40.8
40.2
41.2
38.3
District of Columbia:
Washington-Arlington-Alexandria1
38.3
Illinois
Chicago-Naperville-Joliet1
Chicago-Naperville-Joliet
Gary 2
Lake County-Kenosha County1
1
18, 2004, and are available at http://www.bls.govAauAausmsa.htm 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. Some divisions lie in more
than one state, and some, like Camden, N.J., are totally outside the states under
which their metropolitan areas are listed.
Part of the area is in one or more adjacent states.
All of the area is in one or more adjacent states.
P =s 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
175
LABOR FORCE DATA
REGIONS A N D DIVISIONS
SEASONALLY ADJUSTED
C - 1 . Labor force status by census region a n d division, seasonally adjusted 1
(Numbers in thousands)
2004
2005
Census region and division
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
NORTHEAST
Civilian labor force
Employed
Unemployed
Unemployment rate
27,648.3 27,575.0 27,613.4 27,580.5 27,689.3 27,725.0 27,599.5 27,695.0 27,660.4 27,890.6 27,895.4 27,852.7
26,266.9 26,277.7 26,264.6 26,262.5 26,404.0 26,415.0 26,303.3 26,349.7 26,370.0 26,515.8 26,590.2 26,450.6 I
1,381.4 1,297.3 1,348.8 1,318.0 1,285.3 1,310.0 1,296.2 1,345.3 1,290.4 1,374.8 1,305.2 1,402.1
5.0 I
4.7
4.9
4.9
4.7
4.8
4.7
4.6
4.9
4.7
5.0
4.7
New England
Civilian labor force
Employed
Unemployed
Unemployment rate
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
7,159.7
353.1
4.7
7,546.9
7,201.4
345.5
4.6
7,551.5
7,196.4
355.2
4.7
7,529.0
7,179.7
349.3
4.6
7,547.4
7,188.7
358.7
4.8
7,555.1
7,210.8
344.4
4.6
7,594.1
7,222.7
371.4
4.9
7,589.9
7,223.7
366.2
4.8
7,610.7
7,248.6
362.1
4.8
Middle Atlantic
Civilian labor force
Employed
Unemployed
Unemployment rate
20,151.4 20,081.8 20,113.1 20,067.7 20,142.4 20,173.4 20,070.6 20,147.6 20,105.3 20,296.5 20,305.5 20,242.0
19,093.9 19,118.8 19,112.3 19,102.8 19,202.6 19,218.6 19,123.6 19,161.0 19,159.3 19,293.1 19,366.5 19,202.0
954.8
939.0 1,040.0 I
946.1 1,003.4
986.6
947.0
939.8
964.9
963.1 1,000.8
1,057.5
5.1
4.7
4.6
4.9
4.7
4.9
4.7
4.7
4.8
5.0
4.8
5.2
SOUTH
Civilian labor force
Employed
Unemployed
Unemployment rate
52,103.6 52,247.6 52,364.9 52,312.1 52,571.9 52,658.0 52,533.3 52,673.9 52,865.1 52,920.1 53,055.4 53,057.4
49,335.6 49,570.5 49,612.4 49,673.8 49,938.8 50,013.0 49,958.5 50,117.3 50,338.9 50,170.8 50,307.9 50,299.6
2,768.0 2,677.0 2,752.4 2,638.3 2,633.1 2,645.0 2,574.8 2,556.6 2,526.2 2,749.3 2,747.5 2,757.8
5.0
5.0
5.0
5.3
5.1
5.2
5.2
5.2
4.8
4.9
5.3
4.9
South Atlantic
Civilian labor force
Employed
Unemployed
Unemployment rate
27,510.3 27,570.6 27,648.0 27,654.8 27,809.5 27,868.2 27,862.1 27,964.9 28,051.2 28,162.2 28,257.5 28,278.1
26,154.6 26,298.6 26,317.8 26,362.1 26,519.3 26,590.8 26,580.6 26,672.8 26,795.7 26,868.5 26,989.2 26,997.2 I
1,255.4 1,293.8 1,268.3 1,281.0
1,355.7 1,272.1
1,330.2 1,292.7 1,290.2 1,277.4 1,281.5 1,292.1
4.5
4.6
4.7
4.6
4.9
: 4.5
4.5
4.6
4.6
4.6
4.8
4.6
East South Central
Civilian labor force
Employed
Unemployed
Unemployment rate
8,362,7
7,899.4
463.4
5.5
8,390.7
7,912.4
478.3
5.7
8,414.6
8,3^2.5
8,391.0
7,929.8
7,912.8
469.7
5.6
7,922.8
468.3
5.6
484.8
5.8
8,391.9
7,907.5
484.4
5.8
8,341.4
7,859.8
481.6
5.8
8,336.4
7,889.3
447.1
5.4
8,375.2
7,940.8
434.3
5.2
8,389.1
7,906.9
482.2
5.7
8,421.9
7,922.5
499.4
5.9
8,392.1
7,896.3
495.8
5.9
West South Central
Civilian labor force
Employed
Unemployed
Unemployment rate
16,230.6 16,286.2 16,302.2 16,274.9 16,371.4 16,397.9 16,329.8 16,372.6 16,438.8 16,368.8 16,376.0 16,387.2
15,281.6 15,359.5 15,364.9 15,398.9 15,496.7 15,514.7 15,518.1 15,555.2 15,602.3 15,395.4 15,396.3 15,406.2
981.1 f
874.6
875.9
937.4
973.3
979.8
836.4
811.8
883.3
926.7
949.0
817.4
5.4
5.7
6.0
6.0 I
5.9
5.1
5.3
5.4
5.8
5.7
5.0
5.0
MIDWEST
Civilian labor force
Employed
Unemployed
Unemployment rate
34,504.9 34,539.7 34,630.8 34,595.6 34,742.8 34,688.4 34,493.2 34,485.5 34,532.2 34,695.3 34,644.0 34,758.5
32,562.8 32,613.8 32,624.2 32,656.7 32,822.0 32,762.8 32,606.2 32,599.4 32,697.6 32,833.8 32,844.1 32,910.7
1,942.1 1,925.9 2,006.6 1,938.8 1,920.8 1,925.6 1,887.1
1,886.0 1,834.7 1,861.5 1,799.9 1,847.8
5.5
5.6
5.8
5.6
5.6
5.2
5.3
5.5
5.4
5.3
5.6
5.5
East North Central
Civilian labor force
Employed
Unemployed
Unemployment rate
23,647.2 23,693.6 23,757.1 23,719.4 23,857.3 23,798.8 23,650.7 23,624.1 23,718.0 23,856.2 23,789.0 23,878.3
22,230.5 22,303.5 22,283.6 22,311.2 22,441.8 22,392.3 22,255.2 22,231.8 22,342.2 22,473.1 22,465.6 22,541.2
1,323.4 1,337.0
1,473.5 1,408.2 1,415.5 1,406.6 1,395.5 1,392.3 1,375.8 1,383.1
1,416.7 1,390.1
5.9
5.9
6.2
6.0
5.6
5.6
5.8
5.8
5.9
5.9
5.9
5.9
West North Central
Civilian labor force
Employed
Unemployed
Unemployment rate
10,857.7 10,846.2 10,873.7 10,876.1 10,885.5 10,889.6 10,842.5 10,861.3 10,814.2 10,839.1 10,854.9 10,880.2
10,332.2 10,310.3 10,340.6 10,345.6 10,380.2 10,370.6 10,350.9 10,367.6 10,355.4 10,360.7 10,378.4 10,369.4
525.4
505.3
530.6
535.9
519.0
458.8
493.7
491.6
533.1
476.5
510.7
478.5
4.6
4.9
4.9
4.8
4.8
4.2
4.5
4.5
4.9
4.4
4.4
4.7
See footnotes at end of table.
176
LABOR FORCE DATA
REGIONS AND DIVISIONS
SEASONALLY ADJUSTED
C-1. Labor force status by census region and division, seasonally adjusted1—Continued
(Numbers in thousands)
2004
2005
Census region and division
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
WEST
Civilian labor force....
Employed
Unemployed
Unemployment rate
33,846.7 33,844.6 34,036.4 33,962.7 34,158.1 34,170.9 34,188.5 34,206.1 34,336.1 34,382.7 34,475.6 34,470.4
31,963.1 32,025.3 32,189.6 32,206.9 32,358.0 32,373.9 32,428.4 32,434.0 32,585.4 32,605.5 32,726.8 32,720.3
1,883.7 1,819.2 1,846.8 1,755.7 1,800.1 1,796.9 1,760.2 1,772.1 1,750.7 1,777.2 1,748.9 1,750.2
5.2
5.4
5.1
5.1
5.2
5.4
5.1
5.1
5.2
5.3
5.3
5.6
Mountain
Civilian labor force....
Employed
Unemployed
Unemployment rate
10,130.7 10,154.0 10,198.4 10,220.6 10,290.6 10,270.2 10,279.5 10,273.0 10,283.7 10,313.8 10,329.6 10,333.7
9,860.4
9,849.1
9,790.0 9,773.4 9,805.0 9,771.8 9,811.1 9,814.1
9,698.4 9,731.3 9,734.9
9,651.9
480.5
499.8
472.7
474.4
496.8
455.6
473.4
501.3
500.6
485.7
467.1
478.8
4.7
4.8
4.6
4.8
4.5
4.6
4.9
4.6
4.9
4.8
4.6
4.7
Pacific
Civilian labor force....
Employed
Unemployed
Unemployment rate
23,716.0 23,690.5 23,838.0 23,742.1 23,867.4 23,900.7 23,909.1 23,933.0 24,052.4 24,068.9 24,146.0 24,136.7
22,311.2 22,327.0 22,458.3 22,472.0 22,568.0 22,600.5 22,623.4 22,662.2 22,774.3 22,791.5 22,877.6 22,859.9
1,404.9 1,363.6 1,379.7 1,270.0 1,299-5 1,300.1 1,285.7 1,270.8 1,278.0 1,277.4 1,268.4 1,276.8
5.3
5.3
5.4
5.4
5.4
5.3
5.3
5.3
5.8
5.8
5.9
5.3
1
Census region estimates are derived by summing the Census division
model-based estimates.
NOTE: Data refer to place of residence. The States (including the District of
Columbia) that compose the various census divisions are: New England:
Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and VermontMiddle 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.
177
STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted
(Numbers in thousands)
2005
2004
State
May
Aug.
Sept.
2,130.8
2,045.5
85.3
4.0
2,145.1
2,063.5
81.6
3.8
2,172.3
2,083.8
88.6
4.1
2,181.5
2,082.5
98.9
4.5
340.4
318.8
21.6
6.3
340.7
318.4
22.3
6.5
341.2
318.8
22.3
6.5
344.4
321.0
23.5
6.8
344.6
321.0
23.6
6.8
2,816.3
2,681.1
135.1
4.8
2,821.9
2,697.6
124.3
4.4
2,828.2
2,690.6
137.7
4.9
2,837.6
2,708.0
129.6
4.6
2,847.6
2,704.1
143.5
5.0
2,853.4
2,714.4
139.0
4.9
2,855.1
2,717.8 |
137.3
4.8 I
1,338.9
1,272.9
66.0
4.9
1,345.6
1,278.0
67.7
5.0
1,343.5
1,278.5
65.0
4.8
1,353.9
1,288.2
65.7
4.9
1,354.1
1,285.7
68.3
5.0
1,358.6
1,289.5
69.2
5.1
1,368.3
1,301.1
67.1
4.9
1,375.4
1,309.8
65.6
4.8
17,656.8
16,699.1
957.7
5.4
17,746.9
16,791.6
955.3
5.4
17,783.8
16,834.8
949.0
5.3
17,811.2
16,845.2
965.9
5.4
17,800.1
16,882.5
917.7
5.2
17,891.4
16,958.1
933.2
5.2
17,903.9
16,983.3
920.5
5.1
17,974.3
17,037.9
936.4
5.2
17,946.6
17,003.2
943.4
5.3
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
2,560.4
2,425.2
135.2
5.3
2,549.4
2,422.7
126.7
5.0
2,535.6
2,402.3
133.3
5.3
2,532.3
2,405.1
127.2
5.0
2,542.5
2,409.2
133.3
5.2
2,539.3
2,413.7
125.6
4.9
2,539.0
2,412.9 |
126.1
5.0 |
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
1,812.9
1,716.1
96.8
5.3
1,800.5
1,708.6
92.0
5.1
1,802.0
1,709.3
92.7
5.1
1,813.7
1,716.4
97.4
5.4
1,822.1
1,725.7
96.5
5.3
1,821.3
1,724.5
96.8
5.3
1,824.4
1,730.6
424.0
406.4
17.6
4.2
426.6
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
432.2
414.6
17.6
4.1
431.5
413.8
17.7
4.1
433.7.
415.7
17.9
4.1
435.4
418.1
17.4
4.0
439.0
420.9
18.1
4.1
440.9
422.4
18.6
4.2
442.1
422.9
19.2
4.3
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
298.8
275.1
23.7
7.9
298.4
276.2
22.3
7.5
299.4
279.2
20.2
6.7
299.7
280.6
19.1
6.4
299.6
281.1
18.5
6.2
296.0
277.9
18.0
6.1
294.2
276.2
18.0
6.1
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
8,653.3
8,302.3
351.0
4.1
8,643.8
8,300.7
343.0
4.0
8,677.6
8,340.7
336.9
3.9
8,702.7
8,390.7
312.1
3.6
8,729.1
8,419.9
309.2
3.5
8,764.0
8,461.2
302.8
3.5
8,787.1
8,469.2
317.9
3.6
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
4,487.1
4,253.3
233.8
5.2
4,481.2
4,245.9
235.2
5.2
4,503.7
4,266.1
237.7
5.3
4,514.6
4,284.6
230.0
5.1
4,550.6
4,300.6
250.0
5.5
4,552.9
4,311.5
241.4
5.3
4,568.0
4,321.8
246.2
5.4
Dec.
Jan.
Feb.
Mar.
Apr.
June
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
2,143.0
2,048.1
95.0
4.4
2,131.5
2,036.9
94.6
4.4
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
338.9
317.3
21.6
6.4
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
1,321.5
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
17,630.4
16,579.7
1,050.6
6.0
17,610.3
16,590.1
1,020.2
5.8
17,742.3
16,717.5
1,024.8
5.8
2,544.0
2,407.2
136.9
5.4
2,537.8
2,416.1
121.7
4.8
1,791.5
1,711.6
79.9
4.5
July
Oct.
Nov.
Alabama
Civilian labor force
Employed
Unemployed
.
Unemployment rate
2,163.1
2,085.4 I
77.7
3.6 I
Alaska
Civilian labor force
Employed
Unemployed
Unemployment rate
344.1
320.1
24.1
7.0
Arizona
Civilian labor force
Employed
Unemployed
Unemployment rate
Arkansas
Civilian labor force
Employed
Unemployed
Unemployment rate
California
Civilian labor force
Employed
Unemployed
Unemployment rate
Colorado
Civilian labor force
Employed
Unemployed
Unemployment rate
Connecticut
Civilian labor force
Employed
Unemployed
Unemployment rate
5.1
Delaware
Civilian labor force
Employed
Unemployed
Unemployment rate
District of Columbia
Civilian laborforce
Employed
Unemployed
Unemployment rate
Florida
Civilian laborforce
Employed
Unemployed
Unemployment rate
Georgia
Civilian laborforce
Employed
Unemployed
Unemployment rate
See footnotes at end of table.
178
STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004
2005
State
Dec.
Jan.
Feb.
Apr.
Mar.
May
June
July
Aug.
Sept.
Oct.
Nov.
Hawaii
Civilian labor force
Employed
Unemployed
Unemployment rate
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
707.2
676.2
31.0
4.4
714.9
684.2
30.6
4.3
724.2
694.3
29.9
4.1
725.4
6,409.2
6,022.8
386.4
6.0
6,456.3
6,095.8
360.5
5.6
3,171.1
3,007.6
163.5
5.2
630.9
612.5
18.4
2.9
625.2
608.3
16.9
2.7
630.3
613.3
16.9
2.7
634.2
617.1
17.2
2.7
636.3
619.6
16.7
2.6
643.8
626.1
17.6
2.7
647.9
630.3
17.6
2.7
649.0
630.8
18.2
2.8
30.5
4.2
728.6
699.7
28.9
4.0
728.4
699.6
28.7
3.9
734.6
705.6
29.0
3.9
736.9
706.2
30.7
4.2
735.9
708.2
27.7
3.8
734.7
708.4
26.4
3.6
737.4
710.7
26.7
3.6
738.1
711.1
27.0 I
3.7
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
6,479.6
6,102.4
377.3
5.8
6,442.9
6,055.7
387.2
6.0
6,430.8
6,044.1
386.6
6.0
6,471.7
6,099.6
372.1
5.7
6,508.7
6,129.4
379.3
5.8
6,492.5
6,137.2
355.3
5.5
6,512.9
6,170.3
342.6
5.3
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
3,200.4
3,048.0
152.4
4.8
3,187.4
3,024.1
163.3
5.1
3,188.0
3,016.1
171.9
5.4
3,196.4
3,025.2
171.2
5.4
3,224.9
3,052.1
172.8
5.4
3,217.3
3,042.5
174.8
5.4
3,238.5
3,067.2
171.3
5.3
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
83.8
5.1
1,645.3
1,572.0
73.3
4.5
1,639.9
1,561.6
78.3
4.8
1,638.3
1,562.8
75.5
4.6
1,650.7
1,575.3
75.4
4.6
1,645.8
1,575.2
70.5
4.3
1,651.5
1,576.1
75.4
4.6
1,651.6
1,577.5
74.1
4.5
1,666.2
1,586.7
79.5
4.8 I
1,468.3
1,390.8
77.5
5.3
1,465.1
1,388.2
76.9
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
1,472.3
1,393.9
78.3
5.3
1,463.1
1,387.4
75.7
5.2
1,468.7
1,391.3
77.4
5.3
1,460.9
1,386.8
74.1
5.1
1,466.3
1,391.5
74.8
5.1
1,468.7
1,394.9
73.8
5.0
1,468.0
1,391.5
76.5
5.2
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
1,991.9
1,877.7
114.1
5.7
1,989.1
1,874.8
114.3
5.7
1,996.0
1,877.4
118.6
5.9
1,991.5
1,884.8
106.7
5.4
2,012.5
1,897.3
115.2
5.7
2,023.9
1,899.9
124.0
6.1
2,016.9
1,892.4
124.5
6.2 I
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
2,110.6
1,995.7
114.9
5.4
2,113.4
1,998.5
114.9
5.4
2,102.1
1,985.3
116.8
5.6
2,121.6
1,999.1
122.5
5.8
2,006.0
1,777.6
228.4
11.4
1,967.6
1,731.9
235.6
12.0
1,947.0
1,710.5
236.5
12.1
702.9
670.3
32.7
4.6
700.9
670.4
30.6
4.4
701.4
669.1
32.3
4.6
701.7
668.9
32.7
4.7
705.7
672.5
33.3
4.7
708.9
673.1
35.7
5.0
707.0
674.0
33.0
4.7
710.4
675.3
35.2
4.9
712.4
676.8
35.6
5.0
717.2
678.2
39.0
5.4
719.4
682.0
37.4
5.2
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
2,935.7
2,810.9
124.8
4.3
2,932.1
2,807.6
124.6
4.2
2,930.4
2,802.9
127.5
4.3
2,950.9
2,821.2
129.8
4.4
2,949.3
2,827.2
122.0
4.1
2,967.1
2,846.2
120.9
4.1
2,957.3
2,833.6
123.7
4.2
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
3,373.8
3,213.0
160.7
4.8
3,367.4
3,209.2
158.2
4.7
3,376.8
3,217.4
159.3
4.7
3,365.3
3,222.8
142.5
4.2
3,381.3
3,219.5
161.8
4.8
3,378.8
3,217.8
161.0
4.8
3,388.2
3,223.4
164.8
4.9
17.4
2.8
Idaho
Civilian labor force
Employed
Unemployed
Unemployment rate
Illinois
Civilian labor force
Employed
Unemployed
Unemployment rate
Indiana
Civilian labor force
Employed
Unemployed
Unemployment rate
Iowa
Civilian labor force
Employed
Unemployed
Unemployment rate
Kansas
Civilian labor force
Employed
Unemployed
Unemployment rate
Kentucky
Civilian labor force
Employed
Unemployed
Unemployment rate
Louisiana
Civilian labor force
Employed
Unemployed
Unemployment rate
Maine
Civilian labor force
Employed
Unemployed
Unemployment rate
,
721.1 !
685.3 I
35.7
5.0
Maryland
Civilian labor force
Employed
Unemployed
Unemployment rate
Massachusetts
Civilian labor force
Employed
Unemployed
Unemployment rate
See footnotes at end of table.
179
STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2005
2004
State
Aug.
Sept.
5,099.5
4,743.1
356.5
7.0
5,106.1
4,761.6
344.5
6.7
5,126.9
4,793.9
332.9
6.5
5,100.9
4,792.1
308.7
6.1
5,134.5
4,796.9
337.5
6.6 I
2,957.1
2,846.9
110.2
3.7
2,948.1
2,841.7
106.4
3.6
2,943.2
2,834.1
109.1
3.7
2,939.8
2,825.5
114.3
3.9
2,936.0
2,828.4
107.6
3.7
2,938.1
2,819.2
118.9
4.0
1,349.6
1,253.5
96.1
7.1
1,343.6
1,248.8
94.9
7.1
1,340.3
1,253.6
86.7
6.5
1,347.8
1,255.0
92.9
6.9
1,307.2
1,173.0
134.2
10.3
1,297.0
1,184.4
112.5
8.7
1,295.1
1,165.1 |
130.1
10.0 I
3,023.6
2,854.6
169.0
5.6
3,031.3
2,860.5
170.8
5.6
3,017.3
2,855.1
162.2
5.4
3,026.7
2,857.4
169.3
5.6
3,007.3
2,869.2
138.0
4.6
3,019.5
2,872.1
147.4
4.9
3,029.6
2,877.2
152.4
5.0
3,037.7
2,867.0
170.7
5.6
490.2
467.6
22.7
4.6
490.6
469.1
21.5
4.4
491.3
469.3
21.9
4.5
492.9
471.2
21.7
4.4
491.2
469.8
21.4
4.4
492.3
470.3
22.0
4.5
493.7
471.4
22.3
4.5
493.7
472.2
21.5
4.3
496.6
475.2
21.4
4.3
990.9
952.5
38.4
3.9
990.1
950.9
39.2
4.0
988.9
950.3
38.6
3.9
986.9
947.2
39.7
4.0
982.0
944.8
37.2
3.8
984.5
945.0
39.5
4.0
978.7
940.3
38.4
3.9
985.4
946.4
39.1
4.0
983.0
947.1
35.8
3.6
945.1 I
37.8
3.8
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
1,212.9
1,164.2
48.7
4.0
1,216.1
1,167.9
48.2
4.0
1,213.9
1,163.5
50.4
4.2
1,221.7
1,171.8
49.9
4.1
1,227.9
1,175.8
52.1
4.2
1,233.6
1,183.0
50.5
4.1
1,236.7
1,185.7
51.0
4.1
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
734.7
708.3
26.4
3.6
733.7
707.7
26.0
3.5
734.8
708.5
26.3
3.6
740.6
714.5
26.1
3.5
741.8
712.8
28.9
3.9
740.6
711.6
29.1
3.9
740.4
712.3
28.0
3.8
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
4,406.4
4,233.2
173.2
3.9
4,415.3
4,237.6
177.7
4.0
4,434.8
4,253.5
181.3
4.1
4,441.8
4,255.1
186.7
4.2
4,484.5
4,287.2
197.2
4.4
4,500.7
4,324.7
176.1
3.9
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
940.0
884.0
56.0
6.0
939.8
885.9
53.9
5.7
940.0
883.8
56.2
6.0
938.1
888.4
49.7
5.3
940.2
888.0
52.2
5.6
941.4
890.9
50.4
5.4
941.7
893.2
9,392.8
8,871.4
521.4
5.6
9,357.3
8,887.8
469.4
5.0
9,386.3
.,,907.9
478.4
5.1
9,331.8
8,899.6
432.2
4.6
9,410.2
8,953.2
457.0
4.9
9,423.7
8,949.9
473.8
5.0
9,366.7
8,907.5
459.2
4.9
9,396.3
8,918.6
477.7
5.1
9,361.6
8,918.5
443.0
4.7
9,492.7
8,990.0
502.7
5.3
9,474.9
9,015.7
459.1
4.8
9,434.6
8,922.1
512.5
5.4
Apr.
May
June
Dec.
Jan.
Feb.
Mar.
5,092.9
4,708.5
384.5
7.5
5,086.9
4,727.9
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
4,780.7
361.7
7.0
5,129.4
4,766.1
363.3
7.1
5,087.1
4,742.0
345.1
6.8
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
2,975.3
2,848.7
126.7
4.3
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
3,040.3
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
488.0
466.8
21.3
4.4
487.9
466.5
21.4
4.4
488.7
466.5
22.2
4.5
988.0
950.4
37.6
3.8
983.9
944.8
39.0
4.0
1,190.0
1,142.5
47.5
4.0
July
Oct
Nov.
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
t
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
4,497.9
4,292.2
205.8
4.6 I
New Mexico
Civilian labor force
Employed
Unemployed
Unemployment rate
48.5 I
5.1
New York
Civilian labor force
Employed
Unemployed
Unemployment rate
....
See footnotes at end of table.
180
STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004
2005
State
Dec.
Jan.
4,264.2
4,037.0
227.2
5.3
Feb.
Mar.
Apr.
Aug.
Sept.
Oct.
Nov.
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
5.3
4,308.3
4,089.2
219.2
5.1
4,308.5
4,078.6
229.8
5.3
4,342.0
4,095.6
246.4
5.7
4,339.6
4,096.9
242.6
5.6
4,346.6
4,106.7
240.0
5.5
4,365.4
4,131.9
233.6
5.4
4,350.3
4,124.0
226.3
5.2
356.6
343.9
12.7
3.6
354.9
343.3
11.6
3.3
356.6
344.6
11.9
3.3
356.2
344.5
11.7
3.3
356.0
344.5
11.5
3.2
355.4
342.9
12.4
3.5
354.2
342.0
12.2
3.4
355.1
342.7
12.4
3.5
354.2
342.3
11.9
3.4
355.5
342.5
12.9
3.6
357.6
345.2
12.4
3.5
357.4
345.2
12.1
3.4
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
5,930.3
5,567.4
362.8
6.1
5,898.8
5,535.8
362.9
6.2
5,881.3
5,544.2
337.1
5.7
5,913.8
5,562.5
351.3
5.9
5,940.7
5,587.3
353.4
5.9
5,924.5
5,577.9
346.6
5.9
5,930.2
5,590.5
339.7
5.7
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
4.5
1,722.9
1,644.7
78.1
4.5
1,721.9
1,647.1
74.8
4.3
1,723.6
1,648.3
75.2
4.4
1,736.8
1,660.9
76.0
4.4
1,738.1
1,661.3
76.8
4.4
1,737.0
1,662.0
75.0
4.3
1,737.6
1,665.7
71.9
4.1
1,858.4
1,728.2
130.2
7.0
1,852.0
1,734.5
117.5
6.3
1,866.5
1,745.0
121.5
6.5
1,863.1
1,748.9
114.2
6.1
1,873.3
1,751.4
121.9
6.5
1,865.1
1,745.5
119.6
6.4
1,864.1
1,743.0
121.1
6.5
1,866.6
1,743.7
122.9
6.6
1,866.1
1,742.3
123.9
6.6
1,865.8
1,750.2
115.6
6.2
1,871.6
1,761.1
110.5
5.9
1,861.2
1,754.7
106.5
5.7
6,325.7
5,968.2
357.5
5.7
6,337.6
6,013.5
324.1
5.1
6,333.5
6,000.2
333.3
5.3
6,336.0
5,993.2
342.8
5.4
6,329.2
6,016.8
312.4
4.9
6,350.0
6,045.0
305.0
4.8
6,286.7
5,972.8
313.9
5.0
6,312.9
5,987.8
325.1
5.1
6,290.3
5,976.9
313.4
5.0
6,341.2
6,028.9
312.3
4.9
6,314.3
6,020.9
293.4
4.6
6,309.6
5,989.4
320.3
5.1
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
570.7
544.8
25.9
4.5
569.0
541.7
27.3
4.8
570.8
541.6
29.2
5.1
573.6
544.0
29.5
5.1
579.3
546.1
33.2
5.7
576.7
545.4
31.3
5.4
580.2
550.0
30.2
5.2
2,061.6
1,918.9
142.7
6.9
2,072.0
1,927.9
144.1
7.0
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
6.5
2,068.7
1,938.4
130.2
6.3
2,062.0
1,932.1
129.9
6.3
2,066.1
1,940.5
125.6
6.1
2,071.6
1,942.4
129.2
6.2
2,087.7
1,949.9
137.8
6.6
2,101.1
1,955.4
145.6
6.9
2,106.2
1,956.2
150.1
7.1
430.1
415.1
15.1
3.5
429.7
414.2
15.5
3.6
430.3
414.4
15.9
3.7
429.9
413.9
16.1
3.7
430.4
414.4
15.9
3.7
428.3
411.3
17.0
4.0
429.1
412.8
16.3
3.8
430.5
413.5
17.0
3.9
429.5
413.2
16.4
3.8
429.8
412.6
17.1
4.0
430.3
413.2
17.0
4.0
432.6
415.2
17.4
4.0
2,902.7
2,747.5
155.2
5.3
2,914.5
2,741.6
172.9
5.9
2,924.0
2,751.0
173.0
5.9
2,902.0
2,732.4
169.7
5.8
2,907.1
2,737.8
169.3
5.8
2,907.2
2,727.7
179.5
6.2
2,878.4
2,705.1
173.3
6.0
2,871.1
2,714.4
156.7
5.5
2,891.0
2,737.6
153.4
5.3
2,898.3
2,751.1
147.1
5.1
2,921.1
2,756.2
164.9
5.6
2,914.9
2,748.4
166.5
5.7
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
11,217.0
10,595.6
621.4
5.5
11,165.7
10,594.4
571.2
5.1
11,187.9
10,624.3
563.6
5.0
11,222.2
10,652.8
569.4
5.1
11,276.7
10,684.2
592.4
5.3
11,305.3
10,706.1
599.2
5.3
11,316.6
10,714.7
602.0
5.3
May
June
July
North Carolina
Civilian labor force
Employed
Unemployed
Unemployment rate
North Dakota
Civilian labor force
Employed
Unemployed
Unemployment rate
Ohio
Civilian labor force
Employed
Unemployed
Unemployment rate
Oklahoma
Civilian labor force
Employed
Unemployed
Unemployment rate
Oregon
Civilian labor force
Employed
Unemployed
Unemployment rate
Pennsylvania
Civilian labor force
Employed
Unemployed
Unemployment rate
Rhode Island
Civilian labor force
Employed
Unemployed
Unemployment rate
South Carolina
Civilian labor force
Employed
Unemployed
Unemployment rate
South Dakota
Civilian labor force
Employed
Unemployed
Unemployment rate
Tennessee
Civilian labor force
Employed
Unemployed
Unemployment rate
Texas
Civilian labor force
Employed
Unemployed
Unemployment rate
See footnotes at end of table.
181
STATE LABOR FORCE DATA
SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
2004
2005
State
Dec.
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
1,208.6
1,148.2
60.4
5.0
1,209.5
1,150.6
58.9
1,220.0
1,224.3
1,165.2
1,233.7
1,173.1
1,235.7
1,175.6
4.9
1,161.1
58.9
4.8
59.1
4.8
60.6
4.9
60.1
4.9
1,236.3
1,179.1
57.2
4.6
1,240.1
1,182.4
57.7
4.7
1,242.8
1,187.8
55.0
4.4
1,242.4
1,184.1
58.4
4.7
1,243.9
1,237.4
1,188.5
55.5
4.5
1,187.4
354.7
342.0
12.7
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
351.5
340.7
10.8
3.1
351.9
339.8
12.1
3.4
352.2
339.5
12.7
355.6
342.4
13.2
3.7
357.2
343.1
14.1
3.6
352.4
340.3
12.2
3.5
357.7
345.1
12.6
3.5
3,856.9
3,730.5
3,861.4
3,733.6
127.8
3.3
3,897.6
3,756.7
140.8
3,907.9
3,766.2
134.1
3.5
3,847.2
3,720.4
126.8
3.3
3,911.2
3,768.0
143.2
3.7
3,918.1
3,781.6
136.5
3.5
3,932.1
3,787.5
144.6
3.7
3,952.8
3,961.2
3,810.7
142.1
3.6
3,824.9
136.3
3.4
3,271.4
3,078.0
3,251.4
3,074.5
3,253.6
3,085.5
177.0
5.4
168.1
5.2
3,270.5
3,091.7
178.7
5.5
3,269.5
3,085.2
193.4
5.9
3,260.3
3,080.8
179.5
5.5
3,281.6
3,100.7
180.9
5.5
3,284.5
3,099.3
3,309.8
3,119.3
185.2
190.5
5.8
3,314.0
3,124.8
189.3
5.7
3,332.5
3,145.6
186.9
5.6
3,342.1
3,156.2
185.9
5.6
784.5
746.1
38.5
788.5
751.5
37.0
4.7
790.6
751.3
797.9
756.2
798.1
757.2
39.3
5.0
41.7
5.2
40.9
791.4
755.6
35.8
788.9
751.2
37.8
4.8
793.8
796.7
753.1
43.7
5.5
801.9
756.5
45.4
5.7
803.6
762.1
41.5
5.2
802.7
763.5
5.1
4.5
3,071.1
3,051.6
2,911.1
140.4
4.6
3,058.5
2,919.4
139.1
4.5
3,049.7
2,905.0
3,028.0
2,889.2
138.8
4.6
3,047.3
2,905.1
142.2
4.7
3,046.5
2,909.1
137.4
4.5
283.4
283.8
274.0
9.8
3.5
285.5
273.9
11.6
4.1
286.1
275.4
286.8
11.8
4.1
285.2
273.8
11.4
4.0
286.2
274.3
11.9
4.1
287.1
275.4
11.8
287.4
276.1
11.3
10.7
3.7
4.1
3.9
1,366.9
1,213.1
153.7
11.2
1,404.2
1,252.2
152.0
10.8
1,426.9
1,263.1
163.9
11.5
1,422.8
1,254.4
168.3
11.8
1,431.0
1,279.5
151.5
10.6
1,453.5
1,298.4
155.1
1,430.5
1,249.9
180.7
12.6
1,441.4
1,250.8
190.6
13.2
Dec.P
Utah
Civilian labor force
Employed
Unemployed
Unemployment rate
49.9
4.0
Vermont
Civilian labor force
Employed
Unemployed
Unemployment rate
3.6
3.9
Virginia
Civilian labor force
Employed
Unemployed
Unemployment rate
3,830.8
3,696.7
126.4
3.3
3.6
141.7
3.6
3,967.5
3,828.0
139.5
3.5
Washington
Civilian labor force
Employed
Unemployed
Unemployment rate
184.3
5.6
5.6
West Virginia
Civilian labor force
Employed
Unemployed
Unemployment rate
4.9
749.7
44.1
5.6
39.3
4.9
Wisconsin
Civilian labor force
Employed
Unemployed
Unemployment rate
3,070.8
2,926.2
144.6
4.7
3,077.3
2,928.5
148.8
4.8
283.8
273.2
10.6
3.7
283.9
274.1
9.8
3.4
283.2
274.8
8.3
2.9
8.9
3.1
1,387.1
1,234.8
152.3
11.0
1,383.8
1,230.3
1,360.3
1,378.3
153.6
1,229.8
130.5
11.1
9.6
1,225.1
153.3
11.1
2,921.0
150.1
4.9
144.6
4.7
3,038.2
2,898.9
139.3
4.6
3,031.4
2,888.2
143.2
4.7
3,051.4
2,907.4
144.0
4.7
Wyoming
Civilian labor force
Employed
Unemployed
Unemployment rate
274.6
275.0
Puerto Rico
Civilian labor force
Employed
Unemployed
Unemployment rate
p
= preliminary.
N O T E : 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
10.7
the latest month are revised the following month, and at least 3 years of estimates
are subject to revision at the end of the year, to incorporate updated inputs and
reestimation.
182
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area
(Numbers in thousands)
Unemployed
Civilian labor force
Percent of labor force
Number
State and area
November
November
December
2005
2004
69.2
1.8
1.6
16.1
2.4
1.8
2.5
1.6
5.2
6.4
5.5
2.6
5.4
5.6
4.1
4.7
5.8
4.6
6.1
6.3
4.2
6.1
5.4
4.6
3.4
3.5
2.7
3.2
3.6
2.8
3.9
3.6
2.8
3.8
3.4
2.8
5.2
5.3
3.9
4.6
5.5
4.5
6.2
6.0
4.1
5.7
5.2
4.4
25.3
11.2
2.8
23.9
10.8
2.7
7.3
6.0
6.1
6.8
5.6
5.6
7.6
6.1
6.4
130.8
3.4
77.1
3.6
19.8
11.3
115.5
3.3
69.7
3.2
17.4
8.3
121.2
3.4
72.0
3.3
18.4
9.4
4.3
4.8
3.9
3.7
4.1
13.3
4.6
4.9
4.0
4.0
4.4
14.2
4.1
5.0
3.7
3.6
3.9
11.0
66.7
6.7
6.2
2.3
2.7
15.0
3.3
58.5
5.7
5.3
1.9
2.3
13.3
3.0
72.9
6.8
6.3
2.5
3.0
15.9
3.6
59.1
5.5
5.7
1.9
2.5
12.9
3.0
5.1
3.2
4.6
5.5
4.8
4.6
7.1
4.3
2.5
3.8
4.5
3.9
3.9
6.3
5.5
3.2
4.7
6.0
5.3
4.9
7.8
17,992.9
321.3
100.7
63.4
403.7
55.2
6,604.3
63.5
101.1
231.5
72.3
42S.7
85.1
1,709.4
1,038.8
204.3
1,537.2
2,234.2
854.2
132.5
217.9
147.9
259.2
287.7
214.9
177.4
68.2
1,032.2
30.4
6.6
10.9
40.4
5.4
366.0
5.3
9.8
19.3
3.5
21.8
5.7
88.1
50.5
15.1
66.0
113.0
50.3
5.5
10.1
9.8
11.6
23.2
11.5
20.6
6.3
923.9
25.9
6.2
10.4
35.7
4.9
303.1
4.6
9.2
18.1
3.1
20.8
5.6
86.0
48.0
14.0
65.6
103.7
45.4
5.3
9.7
8.8
11.1
21.2
11.2
16.0
6.0
996.6
30.6
6.6
9.7
40.6
5.4
349.5
5.3
10.4
19.5
3.4
20.7
5.9
82.6
48.6
20.8
61.1
103.4
47.3
5.3
10.1
10.7
11.0
23.3
11.1
20.9
6.6
870.0
26.1
5.9
8.5
34.1
4.7
304.4
4.5
9.6
17.1
2.9
18.2
5.3
73.8
43.0
18.7
55.7
89.0
39.3
4.8
9.0
9.3
9.8
20.3
9.9
17.0
5.9
5.8
9.5
6.6
18.1
10.1
10.0
5.7
8.5
9.8
8.5
4.9
5.2
6.7
5.3
5.0
7.1
4.4
5.2
5.9
4.2
4.7
6.7
4.5
8.2
5.5
11.5
9.7
5.1
8.0
6.1
16.2
8.9
8.8
4.6
7.2
9.1
7.8
4.3
4.9
6.6
5.0
4.7
6.5
4.3
4.7
5.3
4.0
4.4
5.9
4.3
7.3
5.2
9.1
8.8
5.7
9.7
6.7
16.1
10.1
9.8
5.4
8.4
10.5
8.6
4.8
5.0
7.0
5.0
4.8
10.3
4.1
4.7
5.6
4.0
4.8
7.4
4.3
8.3
5.3
11.7
10.1
2,540.3
168.9
299.1
1,312.8
163.7
69.4
108.4
69.3
2,538.6
169.8
299.6
1,302.1
164.5
69.2
110.6
69.8
131.1
7.8
16.0
69.9
7.0
3.2
5.4
4.7
122.2
7.0
15.0
64.2
7.1
3.0
5.2
4.3
133.3
7.8
16.0
71.0
7.4
3.7
5.6
4.8
114.5
6.4
14.1
60.3
6.7
2.9
5.1
4.2
5.2
4.6
5.3
5.3
4.2
4.6
4.9
6.8
4.8
4.1
5.0
4.9
4.3
4.3
4.6
6.2
5.2
4.6
5.4
5.4
4.5
5.3
5.2
6.9
1,776.7
451.9
88.4
556.7
295.7
145.0
97.8
1,819.2
462.9
89.8
570.4
302.7
149.2
101.0
75.4
17.7
2.9
25.0
12.6
5.5
5.3
87.2
20.6
3.2
28.3
14.8
6.8
6.3
69.1
15.9
2.5
22.9
11.4
5.1
5.0
77.8
18.0
2.8
25.5
13.1
6.2
5.7
4.2
3.9
3.3
4.5
4.2
3.8
5.4
4.8
4.4
3.5
5.0
4.9
4.6
6.2
3.9
3.5
2.9
4.1
3.9
3.5
5.1
2005
2004
2005
2004
2005P
2,167.1
54.8
63.7
537.6
71.6
66.2
67.5
47.4
194.0
184.3
168.6
97.0
2,171.0
54.5
64.0
535.2
72.5
67.4
67.7
46.8
197.3
184.5
171.9
98.9
2,163.4
54.6
63.6
537.8
71.9
66.4
67.4
47.3
194.3
183.6
167.7
97.0
2,164.5
54.1
63.1
534.0
72.5
67.5
67.5
46.7
196.3
183.9
171.2
98.6
116.5
3.1
2.6
25.5
4.2
3.1
4.1
3.0
8.2
11.2
9.1
4.5
74.2
1.9
1.7
17.1
2.6
1.9
2.6
1.7
5.5
7.1
5.9
2.8
111.7
2.9
2.5
24.5
3.9
3.0
4.2
2.9
8.1
10.5
8.7
4.3
331.6
182.8
44.0
341.2
188.6
45.6
331.6
183.9
44.0
341.3
189.1
46.8
24.2
11.0
2.7
23.2
10.6
2.6
Arizona
Flagstaff
Phoenix-Mesa-Scottsdale
Prescott
Tucson
Yuma
2,804.5
67.4
1,874.1
88.4
445.3
74.4
2,859.5
68.8
1,911.7
89.8
450.0
79.4
2,797.4
66.8
1,868.5
87.4
445.4
75.3
2,852.7
67.8
1,909.1
89.0
449.4
79 9
121.9
3.2
73.3
3,3
18.1
9.9
Arkansas
Fayetteville-Springdale-Rogers
Fort Smith
Hot Springs
Jonesboro
Little Rock-North Little Rock
Pine Bluff
1,315.0
210.1
133.3
41.2
56.0
324.4
46.3
1,371.1
224.6
138.1
43.2
59.0
339.5
47.7
1,315.9
209.7
133.0
41.2
55.9
326.3
46.5
1,358 7
222,6
136 9
42.9
58.3
337.7
47.5
17,,668.6
318.9
99.2
60.3
399.6
54.1
6,464.6
62.1
99.6
228.0
72.5
416.1
84.8
1,668.5
1,010.4
212.4
1,502.1
2,192.7
852.1
131.2
216.1
146.1
259.1
283.9
210.8
178.9
65.0
17,942.0
323.7
101.0
64.5
402.3
55.1
6,563.5
63.1
101.0
232.0
73.1
423.3
85.2
1,703.9
1,032.5
213.4
1,531.5
2,226.4
854.7
133.0
219.4
148.9
260.0
288.1
214.9
176.3
68.3
17,626.4
314.8
98.8
60.0
401.4
54.5
6,461.3
62.7
99.6
226.4
70.7
414.7
84.6
1,668.8
1,010.4
202.6
1,503.7
2,188.0
846.4
130.4
212.3
144.3
256.9
282.1
209.5
178.9
64.7
Colorado
Boulder
Colorado Springs
Denver-Aurora
Fort Collins-Loveland
Grand Junction
Greeley
Pueblo
2,542.2
170.0
300.3
1,317.7
165.3
69.6
109.6
69.6
2,540.3
170.3
300.1
1,303.4
165.6
69.7
112.2
69.7
Connecticut
Bridgeport-Stamford-Norwalk
Danbury
Hartford-West Hartford-East Hartford....
New Haven
Norwich-New London
Waterbury
1,787.4
455.0
89.1
559.7
298.2
145.4
98.5
1,820.1
463.1
89.8
570.2
303.9
148.6
101.1
Alaska
Anchorage
Fairbanks
California
Bakersfield
Chico
El 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 Obispo-Paso Robles
Santa Barbara-Santa Maria-Goleta
; Santa Cruz-Watsonville
Santa Rosa-Petaluma
Stockton
Vallejo-Fairfield
Visaiia-Porterville
Yuba City
See footnotes at end of table.
2005P
December
2004
2004
2004
Alabama
Anniston-Oxford
Auburn-Opelika
Birmingham-Hoover
Decatur
Dothan
Florence-Muscle Shoals
Gadsden
Huntsvllle
Mobile
Montgomery
Tuscaloosa
November
December
183
2005P
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian UiDorrorce
Percent of labor force
Number
State and area
November
2004
Delaware
Dover
District of Columbia
Washington-Arlington-Alexandtia
Florida
Cape Coral-Fort Myers
Deltona-Daytona Beach-Ormond Beach
Fort Walton Beach-Crestvlew-Destln ....
Gainesville
Jacksonville
Lakeland
Miami-Fort Lauderdale-Miami Beach ....
Naples-Marco Island
Ocala
Orlando
Palm Bay-Melboume-Titusville
Panama City-Lynn Haven
Pensacola-Ferry Pass-Brent
Port St. Lucie-Fort Pierce
Punta Gorda
Sarasota-Bradenton-Venice
Tallahassee
Tampa-St. Petersburg-Clearwater
Vero Beach
Georgia
Albany
Athens-Clarke County
Atlanta-Sandy Springs-Marietta
Augusta-Richmond County
Brunswick
Columbus
Dalton
Gainesville
Hinesville-Fort Stewart
Macon
Rome
Savannah
Valdosta
Warner Robins
Hawaii
Honolulu
Idaho
Boise City-Nampa
Coeur d'Alene
Idaho Falls
Lewiston
Pocatello
Illinois
Bloomington-Normal
Champaign-Urbana
Chlcago-Naperville-Joliet
Danville
Davenport-Moline-Rock Island
Decatur
Kankakee-Bradley
Peoria
Rockford
Springfield
Indiana
Anderson
Bloomington
Columbus
Elkhart-Goshen
Evansville
Fort Wayne
Indianapolis
Kokomo
Lafayette
2005
November
December
2004
2005P
2005
December
2004
2005P
December
2004
2005
2004
2005P
425.6
69.7
442.9
73.1
424.8
69.8
443.6
73.0
15.6
2.1
17.1
2.5
16.2
2.1
17.8
2.6
3.7
3.0
3.9
3.4
3.8
3.0
4.0
3.6
300.6
2,818.8
292.1
2,898.1
302.1
2,813.5
292.4
2,895.7
26.5
103.0
17.4
94.9
27.1
100.3
17.2
84.2
8.8
3.7
6.0
3.3
9.0
3.6
5.9
2.9
8,493.0
251.8
233.2
93.6
130.6
614.1
251.7
I 2,648.7
139.4
I
118.7
I
972.0
253.6
78.5
200.0
169.5
62.0
304.8
175.7
1,276.2
56.9
8,785.5
264.9
239.5
98.5
134.5
634.1
257.8
2,738.6
145.8
122.4
1,022.0
259.8
82.1
204.2
173.0
63.2
315.5
180.3
1,320.3
56.5
8,488.3
253.8
233.3
93.3
129.8
608.9
251.7
2,654.0
140.3
118.2
973.8
252.3
78.2
199.2
168.9
61.7
304.5
173.9
1,273.2
56.8
8,741.6
264.9
237.8
98.0
133.1
629.8
257.8
2,724.0
146.6
121.6
1,016.8
258.6
81.3
202.8
172.3
63.1
315.4
178.1
1,309.1
56.2
393.7
9.7
10.6
3.3
4.1
27.8
12.5
132.7
5.4
5.1
42.6
11.0
3.6
10.4
10.2
3.4
11.8
6.5
56.3
4.2
312.4
7.2
8.0
2.8
3.6
22.3
9.6
108.4
4.4
4.2
33.8
8.5
3.0
7.0
6.9
2.1
9.1
5.5
45.8
2.3
379.0
9.2
10.4
3.2
4.1
26.9
11.7
129.6
4.9
5.0
41.0
10.4
3.8
9.6
9.0
3.1
11.0
6.4
55.0
3.6
260.6
6.0
6.8
2.3
2.9
18.9
8.1
89.4
3.5
3.5
28.7
7.1
2.8
5.8
5.7
1.7
7.5
4.6
38.6
1.8
4.6
3.9
4.5
3.5
3.2
4.5
5.0
5.0
3.9
4.3
4.4
4.3
4.6
5.2
6.0
5.5
3.9
3.7
4.4
7.4
3.6
2.7
3.3
2.9
2.6
3.5
3.7
4.0
3.0
3.4
3.3
3.3
3.7
3.4
4.0
3.3
2.9
3.0
3.5
4.0
4.5
3.6
4.4
3.4
3.2
4.4
4.7
4.9
3.5
4.2
4.2
4.1
4.8
4.8
5.3
5.0
3.6
3.7
4.3
6.2
3.0
2.3
2.9
2.3
2.2
3.0
3.1
3.3
2.4
2.9
2.8
2.8
3.4
2.9
3.3
2.7
2.4
2.6
2.9
3.3
4,435.4
73.2
96.1
2,485.0
246.5
50.3
123.8
64.2
79.0
27.1
107.2
49.4
157.1
62.0
59.8
4,575.7
74.1
99.3
2,568.4
255.0
52.2
127.2
65.8
81.4
28.5
109.5
49.7
163.6
63.7
63.1
4,449.9
73.6
96.1
2,492.4
246.5
50.6
123.5
64.2
79.2
27.2
107.4
49.5
157.9
62.1
59.9
4,573.7
74.1
98.9
2,566.7
253.6
52.3
127.3
65.7
81.1
28.4
109.5
49.6
164.4
63.7
62.8
206.1
3.9
3.3
113.9
13.9
2.0
6.8
2.9
3.0
1.6
5.3
2.4
6.2
2.2
2.4
236.9
4.3
3.9
135.2
16.8
2.2
7.5
3.1
3.4
1.8
6.0
2.3
6.7
2.6
2.8
211.2
3.9
3.4
117.2
13.6
2.2
6.3
3.1
3.1
1.6
5.5
2.5
6.5
2.3
2.5
224.6
4.2
3.8
127.0
15.1
2.1
7.0
3.1
3.3
1.7
5.7
2.2
6.6
2.6
2.7
4.6
5.3
3.4
4.6
5.7
4.0
5.5
4.5
3.7
6.0
5.0
4.9
3.9
3.6
4.0
5.2
5.8
3.9
5.3
6.6
4.3
5.9
4.7
4.2
6.3
5.4
4.7
4.1
4.1
4.5
4.7
5.3
3.5
4.7
5.5
4.3
5.1
4.8
3.9
6.0
5.1
5.0
4.1
3.7
4.1
4.9
5.7
3.9
4.9
6.0
4.1
5.5
4.7
4.0
6.0
5.2
4.4
4.0
4.1
4.4
619.1
433.9
649.3
456.5
620.0
435.2
650.0
457.2
18.8
13.0
18.3
12.7
16.9
11.6
15.8
10.8
3.0
3.0
2.8
2.8
2.7
2.7
2.4
2.4
705.6
269.6
64.3
57.2
28.7
44.2
736.3
281.9
68.9
59.7
28.9
45.4
705.9
270.7
64.5
57.2
28.8
44.1
734.7
281.4
69.0
59.8
28.7
45.4
29.2
10.4
3.0
1.7
1.5
1.9
25.1
8.9
2.4
1.5
1.3
1.5
30.8
10.2
3.4
1.8
1.6
2.0
24.6
7.9
2.8
1.5
1.3
1.5
4.1
3.8
4.6
3.1
5.4
4.2
3.4
3.2
3.5
2.5
4.5
3.3
4.4
3.8
5.3
3.1
5.6
4.5
3.3
2.8
4.0
2.4
4.4
3.3
6,431.0
85.5
117.4
4,748.8
37.8
194.9
52.3
52.0
185.3
161.6
108.7
6,515.4
88.6
121.9
4,771.3
38.4
200.8
54.2
53.7
191.3
166.9
112.6
6,405.4
85.2
116.3
4,735.4
37.5
194.5
52.1
52.1
184.3
161.7
108.5
6,481.4
88.8
121.8
4,731.3
38.7
200.1
54.7
54.2
192.6
168.2
113.5
374.2
4.2
5.1
271.6
2.9
10.3
3.5
3.7
10.3
11.4
5.8
320.6
2.9
4.1
241.5
2.1
9.2
3.0
2.9
7.8
10.0
4.5
367,1
4.2
5.1
261.4
2.9
10.7
3.5
3.9
10.4
12.0
5.9
342.0
3.2
4.4
254.7
2.2
9.7
3.3
3.3
8.7
10.8
5.0
5.8
4.9
4.4
5.7
7.7
5.3
6.7
7.1
5.6
7.1
5.3
4.9
3.3
3.3
5.1
5.4
4.6
5.5
5.4
4.1
6.0
4.0
5.7
4.9
4.4
5.5
7.8
5.5
6.8
7.5
5.6
7.4
5.5
5.3
3.6
3.6
5.4
5.7
4.8
6.0
6.1
4.5
6.4
4.4
3,175.2
63.8
95.5
36.6
101.1
179.8
208.6
866.3
47.2
94.7
3,235.9
64.4
97.0
37.8
103.1
185.3
213.6
883.5
47.3
97.0
3,156.6
63.3
91.3
36.6
100.4
179.0
208.6
863.8
46.8
93.7
3,209.6
64.0
95.3
37.7
102.4
183.8
212.7
875.3
47.3
95.5
156.8
3.6
3.9
1.5
4.1
7.9
10.1
39.5
2.7
4.0
162.8
4.0
4.5
1.7
4.5
8.7
10.2
40.8
2.8
4.1
157.0
3.7
4.1
1.6
4.2
8.0
10.2
38.9
2.7
4.1
171.4
4.3
4.7
1.8
4.7
8.9
10.8
42.0
3.1
4.5
4.9
5.7
4.1
4.0
4.1
4.4
4.9
4.6
5.7
4.3
5.0
6.3
4.6
4.4
4.4
4.7
4.8
4.6
5.9
4.3
5.0
5.8
4.5
4.3
4.2
4.5
4.9
4.5
5.7
4.3
5.3
6.7
4.9
4.9
4.6
4.9
5.1
4.8
6.5
4.7
See footnotes at end of table.
2004
November
184
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian labor force
Number
Percent of labor force
State a n d area
November
2004
Indiana—Continued
Michigan City-La Porte
2005
November
December
2004
2005P
2004
November
December
2005
2004
2005P
December
2004
2005
2004
53.0
57.0
162.2
81.8
53.2
57.4
165.4
82.3
52.5
56.7
161.9
80.7
53.2
57.1
165.1
81.7
2.8
3.3
7.5
5.2
3.0
3.3
8.0
5.1
2.9
3.4
7.8
5.1
3.3
3.6
8.7
5.4
5.3
5.8
4.6
6.3
5.6
5.8
4.8
6.2
5.5
6.0
4.8
6.3
Iowa
Ames
Cedar Rapids
Des Moines
Dubuque
Iowa City
Sioux City
Waterloo-Cedar Falls
1,628.7
47.5
137.5
291.3
49.0
99.2
74.1
91.2
1,668.8
48.5
141.0
300.1
49.7
100.0
74.9
94.6
1,626.3
46.8
137.4
290.7
48.3
98.2
73.9
91.5
1,653.4
47.4
139.1
298.2
49.1
98.4
74.0
93.5
76.7
1.5
6.8
12.8
2.2
3.2
3.8
4.3
75.0
1.6
6.6
83.0
1.5
7.4
13.4
2.7
3.3
4.2
4.5
76.6
1.4
6.7
12.5
2.5
2.8
3.7
4.2
4.7
3.2
5.0
4.4
4.5
3.2
5.2
4.7
4.5
3.3
4.7
4.2
4.6
3.1
4.9
4.4
5.1
3.2
5.4
4.6
5.6
3.4
5.7
4.9
Kansas...;
Lawrence
Topeka
Wichita
1,470.2
64.8
125.5
307.7
1,470.5
65.9
124.3
302.8
1,459.7
64.9
124.6
303.5
1,464.4
76.9
2.6
7.5
68.7
2.3
6.7
63.6
2.1
6.0
17.9
75.2
2.5
6,9
17.7
15.7
14.5
5.2
4.0
6.0
5.8
5.1
3.8
5.5
5.8
4.7
3.5
5.4
5.2
Kentucky
1,972.7
58.7
52.3
228.2
601.5
54.6
2,019.1
60.1
53.3
232.2
619.0
56.3
1,971.6
2,015 6
59.3
52.4
227.3
601.6
60.1
53.2
231.7
617 4
563
88.0
2.2
2.3
8.1
27.3
2.5
118.2
3.0
3.1
10.9
36.5
3.2
90.1
2.2
2.3
8.0
27.5
2.6
121.8
3.1
3.1
10.8
36.8
3.4
4.5
3.7
4.4
3.5
4.5
4.5
5.9
5.0
5.9
4.7
5.9
5.7
4.6
3.7
4.5
3.5
4.6
4.8
Louisiana
Alexandria
Baton Rouge
Houma-Bayou Cane-Thibodaux....
Lafayette
Lake Charles
Monroe
New Orleans-Metairie-Kenner1
Shreveport-Bossier City
2,079.9
65.7
1,948.4
65.3
358.7
94.3
123.1
91.9
83.0
611.5
177.4
1,815.7
61.7
336.7
87.1
119.4
90.6
79.5
428.2
170.7
113.1
3.5
20.1
4.6
5.5
4.9
4.6
28.3
10.1
229.2
5.4
36.5
10.2
10.4
15.6
5.8
80.7
12.1
111.3
3.6
356.6
91.8
123.9
93.0
83.7
619.8
177.6
2,059.2
65.3
353.0
90.7
107.7
3.0
18.9
4.0
4.9
4.5
3.6
35.3
7.9
5.4
5.4
5.6
5.0
4.4
5.2
5.5
4.6
5.7
11.8
8.2
10.2
10.8
8.2
15.8
7.1
17.1
6.8
5.4
5.5
5.6
5.0
4.4
5.3
5.6
4.4
5.7
Maine
Bangor
Lewiston-Auburn
Portland-South Portland-Biddeford
698.2
72.1
56.5
206.7
695.2
71.6
56.1
206.2
714.4
72.3
57.9
211.4
31.7
3.3
2.5
7.1
35.4
3.4
2.8
8.1
30.8
3.2
2.4
6.6
33.5
3.2
2.6
7.0
4.5
4.6
4.4
3.5
4.9
4.7
4.8
3.8
4.4
4.4
4.2
3.2
2,951.4
1,373.4
45.4
118.0
62.3
2,873.2
1,341.5
2,953.4
120.2
1,375.8
45.1
117.3
61.4
60.6
2.6
4.5
2.8
121.8
60.6
2.8
4.7
2.9
116.9
58.8
2.7
4.3
2.9
106.6
52.3
2.7
4.2
2.7
4.2
4.5
5.8
3.9
4.6
4.1
4.4
6.1
4.0
4.6
4.1
4.4
6.1
3.8
4.8
3,383.9
131.7
2,460.8
73.8
83.8
38.4
344.1
290.2
3,370.8
129.7
2,445.5
73.3
82.5
38.7
342.4
289.8
3,375.9
13C.3
2,452.4
73.7
83.2
38.6
344.3
143.8
5.3
100.3
4.0
4.6
1.4
15.5
149.8
5.8
141.4
5.7
151.6
6.4
96.6
3.9
101.8
4.2
5.5
1.6
17.1
290.2
12.6
104.7
4.1
4.9
1.5
17.0
13.1
4.3
4.1
4.1
5.4
5.5
3.8
4.5
4.3
4.4
4.4
4.3
5.6
5.9
3.9
4.9
4.5
4.2
4.4
4.0
5.4
5.8
3.9
4.5
4.3
5,146.3
197.0
74.2
56.7
2,217.6
218.1
408.1
134.2
81.3
177.3
260.3
5,089.9
5,127.7
195.8
317.5
7.5
4.3
3.4
150.2
14.9
21.5
134.6
80.8
176.2
258.1
78.6
91.1
78.6
100.8
357.6
8.1
4.9
4.1
161.1
16.8
26.6
7.1
5.6
10.3
16.8
4.5
6.6
5.8
8.3
360.9
190.8
74.0
56.7
2,207.6
216.1
403.0
135.0
6.2
3.8
5.8
5.9
6.8
6.8
5.3
4.6
5.9
4.9
5.3
5.2
6.2
6.0
6.7
7.1
4.4
6.9
7.5
7.0
8.1
6.7
5.7
7.2
6.4
5.9
6.3
7.5
7.9
8.4
2,931.2
143.7
119.7
7.2
108.0
6.6
3.7
4.6
4.3
5.4
Muncie
South Bend-Mishawaka
Terre Haute
Bowling Green
Elizabethtown
Lexington-Fayette
Louisville
Owensboro
Maryland
Baltimore-Towson
Cumberland
Hagerstown-Martinsburg
Salisbury
2,889.6
1,348.6
44.7
Massachusetts
Barnstable Town
Boston-Cambridge-Quincy
Leominster-Fitchburg-Gardner
New Bedford
Pittsfield
Springfield
Worcester
3,378.9
131.6
2,452.2
73.3
83.2
38.4
343.2
Michigan
Ann Arbor
Battle Creek
Bay City
Detroit-Warren-Livonia
Flint
Grand Rapids-Wyoming
Holland-Grand Haven
Jackson
Kalamazoo-Portage
Lansing-East Lansing
Monroe
Muskegon-Norton Shores
Nlles-Benton Harbor
Saginaw-Saginaw Township North
5,121.4
191.7
74.2
Minnesota
Duluth
115.0
61.3
289.3
57.1
2,222.1
217.1
403.5
135.0
79.9
174.9
255.7
126.3
99.2
82.3
471.6
176.1
717.6
72.9
58.5
212.2
54.8
44.6
114.6
60.3
79.3
77.9
90.4
79.4
79.0
102.0
100.8
173.2
253.1
77.3
89.4
78.7
100.9
2,961.6
146.6
2,936.1
144.5
2,945.4
145.5
91.4
79.0
65.9
123.8
3004
74.1
56.7
2,207.0
217.8
409.5
See footnotes at end of table.
185
12.7
2.3
3.1
3.7
4.1
6.1
4.8
8.7
13.8
4.1
5.7
4.7
6.8
19.8
4.6
5.5
4.9
4.6
26.7
10.1
4.8
1.5
15.4
12.4
12.9
11.0
15.2
22.4
6.6
5.0
9.2
15.0
4.8
6.7
6.2
14.0
4.2
5.8
5.0
8.4
6.9
7.0
4.2
6.6
7.1
7.3
7.7
6.6
5.3
7.0
5.9
6.6
5.8
7.3
7.3
8.1
127.3
7.8
118.3
7.0
4.0
4.9
8.5
5.1
4.3
154.9
17.5
27.1
7.7
5.7
327.2
7.5
4.4
3.6
149.2
2005P
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian labor force
Percent of labor force
Number
State and area
November
November
December
2005
2004
2004
67.5
3.6
4.6
3.9
3.5
3.8
3.6
3.1
3.5
3.9
3.7
4.5
85.0
6.2
3.2
13.9
4.3
119.8
22.7
3.9
16.5
10.1
6.3
5.4
5.2
5.5
6.3
9.4
21.7
6.8
6.8
14.9
6.3
5.2
5.2
5.3
6.1
162.9
3.1
3.3
3.9
147.1
2.9
3.2
3.4
56.4
3.9
83.7
8.9
159.2
3.3
3.4
4.0
57.6
3.6
77.2
9.1
81.8
8.7
51.8
3.4
72.3
8.0
5.4
3.5
4.0
4.8
5.7
6.0
5.8
4.2
5.3
3.5
4.2
4.7
5.6
5.4
5.3
4.3
5.4
3.4
4.1
4.6
5.5
6.0
5.6
4.1
489.4
84.1
40.5
57.9
21.1
2.9
1.6
2.3
21.4
2.9
1.7
2.4
21.6
2.8
1.6
2.3
18.5
2.5
1.5
2.1
4.3
3.4
4.1
3.9
4.3
3.5
4.2
4.1
4.5
3.4
4.0
4.0
982.0
166.4
442.6
975.9
164.8
441.6
33.4
5.1
17.7
34.3
5.3
17.8
35.8
5.3
19.0
34.4
5.3
17.7
3.4
3.0
4.0
3.5
3.2
4.0
3.6
3.2
4.3
1,236.5
27.2
881.2
214.1
1,187.9
27.1
838.6
210.7
1,231.6
27.1
878.7
212.9
45.7
1.2
49.2
1.2
34.9
8.0
45.9
1.3
32.6
7.2
31.9
7.7
44.5
1.1
31.1
7.4
3.8
4.3
3.9
3.4
4.0
4.5
4.0
3.7
3.9
4.6
3.8
3.7
723.4
106.8
43.4
81.2
739.3
109.0
44.9
84.0
721.6
106.0
43.0
80.9
736.2
109.0
44.6
83.6
22.6
3.2
1.4
2.4
26.3
3.6
1.6
2.8
22.0
3.0
1.3
2.3
24.0
3.5
1.4
2.4
3.1
3.0
3.2
3.0
3.6
3.3
3.5
3.3
3.0
2.9
3.0
2.9
4,404.4
133.9
54.3
191.4
4,491.2
139.2
4,397.0
133.3
53.4
190.8
4,497.9
138.5
56.8
197.2
70.1
172.6
6.2
3.7
6.5
3.7
191.8
7.0
4.0
7.5
4.3
170.3
6.6
4.2
6.4
4.0
197.2
7.7
4.8
7.6
4.9
3.9
4.7
6.9
3.4
5.3
4.3
5.0
7.1
3.8
6.1
3.9
5.0
7.8
3.3
5.9
921.1
397.3
54.3
83.8
76.3
941.8
406.7
48.4
19.6
2.9
4.7
3.1
45.9
18.7
2.8
4.4
3.1
47.0
18.7
2.9
4.8
3.0
41.0
16.3
•2.5
4.2
2.7
5.2
4.9
5.3
5.5
4.0
4.9
4.6
4.8
5.0
3.9
5.1
4.7.
5.3
5.7
3.9
9,395.1
455.4
122.2
587.7
40.2
9,441.6
477.2
17.1
5.8
30.9
496.0
2.1
65.4
54.7
92.5
66.7
55.5
93.9
9,223.3
3,737.7
3.1
1.7
4.0
438.7
224.4
2.1
3.2
1.8
328.3
12.9
25.3
502.8
18.2
6.5
32.7
2.2
3.4
1.8
4.2
448.5
235.8
13.1
467.8
17.8
6.1
31.0
2.0
3.3
1.7
3.8
441.6
214.2
12.9
26.9
24.9
17.3
7.4
16.3
7.0
5.1
3.8
4.7
5.3
5.3
4.8
3.2
4.3
4.8
6.0
4.0
4.8
4.9
4.7
5.3
4.0
5.0
5.5
5.1
4.8
3.3
4.2
5.1
6.3
4.2
4.9
4.9
5.0
5.4
4.0
5.3
5.6
5.5
5.1
3.4
4.5
4.9
6.3
4.1
5.1
5.2
5.2
224.5
8.2
3.9
41.0
10.0
7.7
2.8
18.8
4.5
202.5
7.5
3.7
37.3
9.5
7.8
2.5
17.1
4.0
5.3
4.2
5.8
5.3
4.3
5.7
5.4
5.3
5.5
5.1
4.1
5.8
5.1
4.3
6.1
5.4
5.1
5.3
5.3
4.2
5.7
5.2
4.2
5.5
5.3
5.3
5.5
2005
2004
1,866.3
103.7
105.1
1,852.7
103.5
104.2
1,855.2
103.1
104.7
1,847.2
103.5
104.1
73.1
3.6
4.0
66.1
3.2
3.7
73.2
3.8
4.7
Mississippi
Gulfport-Biloxi
Hattiesburg
Jackson
Pascagoula
1,339.3
119.5
62.5
262.7
1,291.0
1,340.7
110.4
60.2
250.7
70.0
119.9
62.2
263.1
1,292.2
106.6
84.8
6.5
3.3
120.8
23.9
4.1
17.0
10.5
Missouri
Columbia
Jefferson City
Joplin
Kansas City
St. Joseph
St. Louis2
Springfield
3,032.5
91.8
79.8
84.6
1,037.5
65.8
1,453.3
211.4
3,028.4
93.2
79.7
84.6
1,029.0
66.0
3,019.6
93.3
79.2
85.1
165.0
3.2
3.2
4.0
1,026.5
65.8
59.4
3.9
1,457.5
214.3
3,0202
91.6
79.5
83.9
1,032.0
65.3
1,452.7
209.9
1,460.4
213.2
Montana
Billings
Great Falls
Missoula
485.3
83.0
39.7
57.7
494.1
85.1
41.1
58.6
482.7
83.1
39.8
57.7
Nebraska
Lincoln
Omaha-Council Bluffs
986.6
168.3
443.4
981.8
166.3
444.0
1,188.6
27.3
838.1
210.7
Nevada
Carson City
Las Vegas-Paradise
Reno-Sparks
New Hampshire
Manchester
Portsmouth
Rochester-Dover
New Jersey
Atlantic City
Ocean City
Trenton-Ewing
Vineland-Millville-Bridgeton
New Mexico
Albuquerque
Farmington
Las Cruces
Santa Fe
New York
Albany-Schenectady-Troy
Binghamton
;
Buffalo-Niagara Falls
Elmira
Glens Falls
Ithaca
Kingston
New York-Northern New Jersey-Long Island
New York City
Poughkeepsie-Newburgh-Middletown
Rochester
Syracuse
Utica-Rome
North Carolina
Asheville
Burlington
Charlotte-Gastonia-Concord
Durham
Fayetteville
Goldsboro
Greensboro-High Point
Greenville
69.8
69.0
56.7
196.8
70.7
54.9
945.4
407.1
57.3
84.4
76.6
88.0
78.8
9,390.2
455.4
122.6
588.4
40.5
9,413.2
457.5
923.0
397.2
65.5
55.1
92.9
9,132.7
3,728.3
323.5
529.2
330.7
142.5
4,278.4
196.8
70.2
788.2
241.8
141.2
51.9
359.3
82.4
122.6
586.1
40.1
66.3
55.6
93.0
68.1
60.9
252.7
69.5
56.7
87.2
78.5
460.1
122.7
587.8
40.2
14.4
4.4
18.3
6.1
32.0
3.9
464.9
235.0
9,201.4
3,738.9
327.0
522.1
332.7
142.5
9,140.0
3,738.6
322.6
525.1
330.7
142.5
143.6
6.6
13.8
25.8
16.4
7.1
4,352.3
201.4
70.7
813.5
246.5
143.3
52.0
366.1
4,255.9
195.6
69.7
784.9
240.5
140.0
51.8
357.4
82.5
4,333.9
200.3
227.1
8.4
4.1
41.7
10.4
8.0
2.8
19.2
4.6
222.5
8.2
4.1
41.2
10.5
8.8
2.8
18.8
4.5
84.9
520.9
334.6
70.1
813.2
246.0
143.0
51.4
364.7
84.3
See footnotes at end of table.
2005P
December
2005
2004
Minnesota—Continued
Minneapolis-St. Paul-Bloomington
Rochester
St. Cloud
:
November
2004
2005P
2004
December
186
16.2
2005P
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian labor force
Percent of labor force
Number
State and area
November
2004
2005
November
December
2004
2005P
2004
2005
November
December
2004
2005P
December
2004
2005
2004
North Carolina—Continued
Hickory-Lenoir-Morganton
Jacksonville
Raleigh-Cary
Rocky Mount
Wilmington
Winston-Salem
179.7
56.2
486.4
68.3
156.1
232.8
181.2
58.0
502.4
68.1
160.1
238.5
178.8
55.6
483.1
67.8
155.3
232.5
180.2
57.6
501.3
67.6
159.9
238.5
11.3
3.2
20.8
4.9
7.0
11.1
11.3
3.1
20.1
4.7
6.7
10.7
11.2
3.0
20.1
4.8
7.0
10.8
10.3
2.7
17.9
4.2
6.2
9.7
6.3
5.7
4.3
7.2
4.5
4.8
6.2
5.4
4.0
6.8
4.2
4.5
6.2
5.5
4.2
7.0
4.5
4.6
North Dakota
Bismarck
Fargo
Grand Forks
350.4
57.7
113.2
55.9
352.2
58.3
113.7
55.7
349.6
57.6
112.5
55.5
350.9
58.4
113.2
55.2
10.4
1.5
2.7
1.7
10.3
1.4
2.7
1.6
11.9
1.8
3.2
1.9
11.3
1.7
3.1
1.8
3.0
2.6
2.4
3.0
2.9
2.4
2.4
2.9
3.4
3.1
2.8
3.5
Ohio
Akron
Canton-Massillon
Cincinnati-Mlddletown
Cleveland-Elyria-Mentor
Columbus
Dayton
Lima
Mansfield
Sandusky
Springfield
Toledo
Weirton-Steubenville
Youngstown-Warren-Boardman
5,919.4
377.7
208.4
1,088.9
1,089.0
926.8
432.7
52.5
63.7
43.1
70.3
339.4
57.8
282.7
5,941.9
379.1
209.1
1,104.5
1,079.4
934.2
429.0
53.0
63.5
43.0
70.8
339.9
58.3
280.4
5,875.5
376.5
207.2
1,084.4
1,076.9
919.9
430.4
52.2
63.4
42.2
70.0
337.2
57.7
280.3
5,901.0
379.3
208.9
1,103.7
1,060.3
930.7
427.1
52.6
63.4
42.3
70.5
339.5
57.2
279.4
352.6
21.9
13.1
56.2
59.4
49.7
27.1
3.3
4.5
2.8
4.6
22.4
4.2
20.3
324.2
19.9
11.7
56.8
59.4
45.6
24.1
3.0
3.8
2.5
4.4
20.5
4.5
17.1
335.3
21.1
12.6
52.4
58.3
45.5
25.1
3.1
4.2
2.8
4.3
21.7
4.1
19.0
330.3
21.4
12.5
56.5
58.7
44.8
24.1
3.0
4.0
2.8
4.4
21.5
3.9
17.7
6.0
5.8
6.3
5.2
5.5
5.4
6.3
6.3
7.0
6.4
6.5
6.6
7.2
7.2
5.5
5.3
5.6
5.1
5.5
4.9
5.6
5.7
6.0
5.9
6.2
6.0
7.8
6.1
5.7
5.6
6.1
4.8
5.4
4.9
5.8
5.9
6.6
6.6
6.1
6.4
7.1
6.8
Oklahoma
Lawton
Oklahoma City
Tulsa
1,726.1
47.3
586.2
444.2
1,746.4
48.0
594.3
455.5
1,712.8
46.9
582.4
442.6
1,734.6
47.5
591.5
453.0
78.0
2.2
24.5
20.2
68.7
2.1
22.4
17.5
76.2
2.1
24.2
19.8
69.4
2.0
22.7
17.7
4.5
4.6
4.2
4.6
3.9
4.3
3.8
3.8
4.4
4.5
4.2
4.5
Oregon
Bend
Corvallis
Eugene-Springfield
Medford
Portland-Vancouver-Beaverton
Salem
1,866.7
71.4
43.3
175.3
100.9
1,104.2
184.3
1,863.0
72.5
42.9
174.5
101.0
1,111.7
181.7
1,851.8
70.9
42.7
175.7
99.6
1,100.7
181.7
1,850.0
72.5
43.0
174.7
100.8
1,103.7
179.7
128.4
4.5
2.2
12.0
6.3
72.0
12.8
101.5
3.5
2.0
9.5
5.1
58.2
10.0
124.5
4.6
2.0
11.5
6.1
69.0
12.5
101.6
3.9
2.0
9.5
5.1
55.8
10.1
6.9
6.4
5.0
6.8
6.3
6.5
7.0
5.4
4.8
4.6
5.4
5.0
5.2
5.5
6.7
6.4
4.6
6.6
6.1
6.3
6.9
Pennsylvania
Allentown-Bethlehem-Easton
Altoona
Erie
Harrisburg-Carlisle
Johnstown
Lancaster
Lebanon
Philadelphia-Camden-Wilmington
Pittsburgh
Reading
Scranton—Wilkes-Barre
State College
Williamsport
York-Hanover
6,356.5
407.6
66.8
143.1
282.6
68.5
270.5
70.7
2,949.0
1,231.5
201.2
282.6
75.6
61.8
219.6
6,323.6
411.8
65.4
141.9
282.4
67.9
268.7
70.2
2,978.0
1,218.0
201.4
279.0
75.5
61.1
220.9
6,333.2
407.3
67.0
142.2
281.8
68.7
266.8
70.1
2,947.2
1,228.9
200.3
282.0
73.5
61.6
219.5
6,288.3
410.3
65.0
140.8
281.5
67.7
265.2
69.5
2,977.1
1,213.2
200.2
278.3
73.3
60.5
220.3
329.2
19.9
3.7
8.3
11.8
4.6
9.8
2.7
137.2
66.3
9.7
17.3
3.1
3.6
9.2
306.3
19.1
3.2
7.6
11.2
3.8
9.9
2.5
139.8
60.7
9.5
14.5
2.7
3.2
9.1
326.5
19.6
4.0
8.4
11.3
4.9
9.7
2.6
131.5
67.4
9.6
17.4
3.1
3.9
8.9
275.5
17.5
3.0
7.2
9.8
3.6
8.6
2.2
127.1
55.5
8.4
13.6
2.4
3.1
7.9
5.2
4.9
5.5
5.8
4.2
6.7
3.6
3.8
4.7
5.4
4.8
6.1
4.0
5.9
4.2
4.8
4.6
4.9
5.4
4.0
5.7
3.7
3.5
4.7
5.0
4.7
5.2
3.6
5.2
4.1
5.2
4.8
6.0
5.9
4.0
7.1
3.6
3.6
4.5
5.5
4.8
6.2
4.3
6.4
4.1
562.3
698.1
581.6
717.2
559.6
695.7
581.3
717.4
22.9
29.7
25.9
32.5
23.7
31.1
28.1
36.3
4.1
4.3
4.5
4.5
4.2
4.5
2,054.4
84.3
292.6
350.3
96.1
294.9
119.0
131.2
45.8
2,094.8
85.0
303.0
358.9
97.8
299.9
122.7
133.9
46.3
2,046.8
84.3
291.0
351.4
96.4
295.0
118.4
130.9
45.8
2,081.5
84.4
300.7
356.8
97.1
297.7
121.9
133.5
46.1
142.4
6.0
15.7
20.6
8.1
18.1
7.0
10.0
4.2
146.6
6.3
16.4
21.0
8.5
18.1
6.9
10.0
4.2
141.1
6.1
15.2
20.0
8.3
17.8
7.9
9.9
4.2
140.1
6.0
15.0
19.6
8.2
17.1
7.4
10.3
4.1
6.9
7.2
5.4
5.9
8.4
6.1
5.9
7.6
9.1
7.0
7.4
5.4
5.8
8.7
6.0
5.6
7.4
9.1
6.9
7.2
5.2
5.7
8.6
6.0
6.7
7.6
9.1
428.5
65.3
121.6
431.6
64.9
121.4
424.9
64.7
120.5
427.8
64.2
120.9
14.2
2.2
3.6
16.5
2.6
4.0
14.8
2.2
3.7
16.3
2.5
3.8
3.3
3.3
2.9
3.8
3.9
3.3
3.5
3.3
3.1
Rhode Island
Providence-Fall River-Warwick
South Carolina
Anderson
Charleston-North Charleston
Columbia
Florence
Greenville
Myrtle Beach-Conway-North Myrtle Beach
Spartanburg
Sumter
South Dakota
Rapid City
Sioux Falls
See footnotes at end of table.
187
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian IciDorTorce
Number
Percent of labor force
State and area
November
1 2004
November
December
2005
2005
147.9
10.9
5.8
2.6
2.7
4.5
6.5
13.6
35.8
3.5
30.0
5.3
4.5
5.1
5.1
5.6
5.1
5.1
4.2
6.2
5.5
4.1
5.5
4.8
5.9
5.6
5.8
5.1
5.1
4.5
6.2
6.0
4.6
5.2
4.5
4.9
5.0
5.4
5.0
5.1
4.1
6.3
5.3
4.0
5.1
4.3
5.5
4.9
5.1
4.6
4.6
4.0
5.9
5.5
4.0
642.3
3.6
5.2
36.8
14.6
12.6
4.2
12.8
165.9
23.1
154.5
7.9
5.5
5.5
5.9
24.4
2.6
3.3
2.4
46.9
3.4
3.4
5.1
3.0
5.5
3.5
545.2
3.0
4.4
31.5
13.0
9.1
3.9
9.9
140.9
18.2
140.4
7.5
4.4
4.5
4.9
18.6
2.2
2.5
2.0
38.8
2.6
2.9
4.0
2.4
4.9
3.0
5.9
4.6
4.2
4.9
8.1
8.6
4.2
6.5
5.7
7.7
6.1
5.5
6.3
5.7
4.3
8.7
4.2
5.5
4.8
5.4
5.9
5.6
5.0
5.6
5.2
4.9
5.2
3.8
3.6
4.2
8.6
6.5
4.1
5.3
5.0
6.3
5.9
5.3
5.2
4.7
3.6
6.9
3.5
4.2
4.0
4.7
4.7
4.8
4.5
4.5
4.6
4.3
5.8
4.4
4.0
4.7
8.1
8.7
4.0
6.4
5.5
7.9
5.9
5.3
6.4
5.5
4.2
9.3
4.1
5.3
4.5
5.3
5.8
5.4
5.3
5.4
4.9
4.7
4.8
3.6
3.3
3.9
7.3
6.2
3.7
5.0
4.6
6.0
5.3
5.0
5.0
4.4
3.4
6.9
3.3
4.0
3.6
4.3
4.5
4.5
4.1
4.2
4.3
3.9
47.1
1.9
9.6
7.2
1.7
21.2
55.9
2.1
11.3
8.1
2.0
25.4
43.4
1.7
8.8
6.5
1.6
19.5
4.8
3.6
4.9
4.4
4.0
4.9
3.8
3.1
3.9
3.5
3.1
3.8
4.6
3.4
4.7
4.1
3.8
4.7
3.5
2.8
3.7
3.2
2.9
3.5
11.4
3.3
12.0
3.7
11.3
3.2
12.2
3.5
3.2
2.9
3.4
3.2
3.2
2.8
3.4
3.1
3,932.4
78.7
96.4
51.7
65.1
116.0
621.4
152.3
793.7
62.9
129.8
2.7
2.6
3.5
2.0
4.3
21.9
5.0
31.0
1.7
131.3
2.8
2.5
3.8
1.7
4.2
22.2
4.8
31.6
1.6
131.0
2.8
2.6
3.6
1.8
4.3
22.1
5.1
31.4
1.7
119.9
2.6
2.3
4.1
1.6
3.8
20.2
4.3
28.2
1.5
3.4
3.6
2.7
6.7
3.1
3.8
3.6
3.4
4.0
2.9
3.3
3.5
2.6
7.3
2.7
3.6
3.6
3.2
4.0
2.5
3.4
3.7
2.7
6.9
2.9
3.8
3.7
3.4
4.1
2.9
3.0
3.3
2.4
7.9
2.4
3.3
3.2
2.8
3.6
2.3
3,276.6
105.2
125.1
115.2
44.1
57.2
125.2
1,724.8
232.4
56.5
114.6
3,323.3
107.8
126.5
116.7
44.1
57.9
127.5
1,763.5
232.6
57.3
114.5
189.7
5.6
6.9
7.1
3.5
3.7
6.8
89.9
13.5
3.9
10.0
183.7
5.0
6.5
7.7
3.3
3.3
6.1
89.6
12.4
3.4
9.4
193.1
5.7
6.7
7.6
3.6
3.9
6.6
87.6
14.5
4.2
11.4
176.2
4.6
5.8
8.0
2.9
3.2
5.5
82.8
12.7
3.7
10.5
5.8
5.4
5.5
6.2
8.0
6.5
5.5
5.2
5.9
6.7
8.7
5.5
4.6
5.1
6.6
7.4
5.7
4.8
5.1
5.3
5.9
8.1
5.9
5.4
5.4
6.6
8.3
6.8
5.3
5.1
6.2
7.5
9.9
5.3
4.3
4.6
6.9
6.5
5.5
4.3
4.7
5.5
6.5
9.2
782.6
137.1
130.1
798.2
139.4
131.1
36.8
6.2
6.5
36.0
5.9
6.4
36.6
6.4
6.2
33.8
5.5
6.3
4.7
4.5
4.9
4.5
4.3
4.9
4.7
4.7
4.8
4.2
3.9
4.8
2004
2004
2005P
2,916.8
251.1
102.6
53.2
54.0
96.5
141.2
338.8
600.6
63.1
735.6
2,925.3
253.3
105.6
52.8
54.3
96.8
141.3
341.6
603.9
63.9
741.8
2,905.9
250.8
102.6
52.9
53.9
96.4
140.5
337.8
599.9
62.9
734.2
2,925.0
253.5
105.4
53.0
54.2
97.1
140.8
341.5
605.9
64.0
743.8
153.9
11.3
5.3
2.7
3.0
4.9
7.2
14.3
37.0
3.5
30.5
162.1
12.2
6.3
2.9
3.1
4.9
7.2
15.5
37.4
3.8
34.3
151.8
11.3
5.0
2.7
2.9
4.8
7.1
13.7
37.5
3.4
29.2
11,120.5
81.7
128.7
788.1
180.5
143.3
104.1
198.6
2,995.3
292.1
2,591.6
147.9
84.7
101.4
142.7
259.3
64.7
62.1
53.1
889.9
58.1
62.3
95.8
56.4
111.4
74.7
11,329.3
84.3
131.5
809.9
179.4
146.5
106.3
197.2
3,048.9
303.2
2,657.9
152.4
87.2
103.7
144.8
266.2
65.6
62.6
55.7
904.8
58.9
64.2
97.7
57.7
113.2
76.3
11,128.1
81.3
128.9
785.4
181.4
144.3
103.4
198.5
2,999.5
292.9
2,599.7
147.4
85.0
101.3
142.4
262.5
64.7
61.8
53.2
890.1
57.9
62.7
95.9
56.3
111.4
74.8
11,302.7
84.0
131.1
804.5
177.5
146.7
105.1
197.5
3,043.2
302.3
2,653.0
151.7
87.5
103.6
143.9
268.7
65.3
62.3
55.4
903.2
58.7
63.8
97.3
57.4
112.8
75.9
652.4
3.7
5.4
38.3
14.7
12.3
4.4
12.9
170.9
22.4
157.2
8.1
5.3
5.7
6.1
22.6
2.7
3.4
2.5
48.4
3.4
3.5
4.8
3.2
5.7
3.7
590.7
3.2
4.7
34.2
15.4
9.5
4.4
10.5
152.7
19.2
156.0
8.1
4.5
4.9
5.3
18.4
2.3
2.6
2.2
42.2
2.8
3.1
4.4
2.6
5.2
3.2
1,213.0
61.2
239.8
200.3
51.7
539.7
1,240.4
62.7
242.7
206.0
55.5
550.9
1,209.2
60.8
237.9
199.4
51.6
542.6
1,241.7
62.1
242.3
206.2
55.5
555.4
58.0
2.2
11.7
8.8
2.1
26.4
352.7
113.9
357.1
115.0
353.3
112.8
360.4
114.1
Virginia
Blacksburg-Christiansburg-Radford ...
Charlottesville
Danville
Harrisonburg
Lynchburg
Richmond
Roanoke
Virginia Beach-Norfolk-Newport News
Winchester
3,825.7
77.3
94.0
52.5
64.1
113.3
601.1
147.9
777.9
60.1
3,952.2
79.5
96.8
51.9
65.6
116.8
624.4
152.8
798.3
63.5
3,816.3
76.0
93.6
52.4
63.7
113.1
599.4
147.4
774.0
59.9
Washington
Bellingham
Bremerton-Silverdale
Kennewick-Richland-Pasco
Longview
Mount Vernon-Anacortes
Olympia
Seattie-Tacoma-Bellevue
Spokane
Wenatchee
Yakima
3,258.0
103.9
124.5
114.5
44.1
57.2
123.6
1,712.6
229.2
57.6
114.9
3,336.5
108.2
127.4
117.5
44.5
58.4
127.9
1,763.3
233.3
57.4
115.6
787.0
137.5
130.8
802.7
139.1
132.1
Texas
Abilene
Amarillo
Austin-Round Rock
Beaumont-Port Arthur
Brownsville-Harlingen
College Station-Bryan
Corpus Christi
Dallas-Fort Worth-Arlington
El Paso
Houston-Baytown-Sugar Land
Killeen-Temple-Fort Hood
Laredo
Longview
Lubbock
McAllen-Edinburg-Pharr
Midland
Odessa
San Angelo
San Antonio
Sherman-Denison
Texarkana
Tyler
Victoria
Waco
Wichita Falls
Utah
Logan
;
Ogden-Clearfield
Provo-Orem
St. George
Salt Lake City
Vermont
Burlington-South Burlington
West Virginia
Charleston
Huntington-Ashland
See footnotes at end of table.
December
2004
2004
2005
Tennessee
Chattanooga
Clarksville
Cleveland
Jackson
Johnson City
Kingsport-Bristol-Bristol
Knoxville
Memphis
Morristown
Nashville-Davidson—Murfreesboro....
November
December
188
2005P
2004
2005P
STATE AND AREA LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-3. Civilian labor force and unemployment by State and metropolitan area—Continued
(Numbers in thousands)
Unemployed
Civilian labor force
Number
Percent of labor force
State and area
November
2004
West Virginia—Continued
Morgantown
Parkersburg-Marietta
Wheeling
Wisconsin
Appleton
Eau Claire
,
Fond du Lac
Green Bay
Janesville
La Crosse
Madison
Milwaukee-Waukesha-West Ailis
Oshkosh-Neenah
Racine
Sheboygan
Wausau
Wyoming
Casper
Cheyenne
Puerto Rico
Aguadilla-lsabela-San Sebastian
Fajardo
Guayama
Mayaguez
Ponce
San German-Cabo Rojo
San Juan-Caguas-Guaynabo
Yauco
2005
November
December
2004
2005P
2005
2004
November
2005P
December
2004
2005
2004
58.3
81.0
67.7
60.6
80.9
68.8
57.4
80.5
67.5
60.5
80.2
63.8
1.9
4.4
4.0
1.7
3.9
3.4
1.9
4.3
3.8
1.7
3.8
3.4
3.3
5.4
5.9
2.8
4.9
4.9
3.4
5.3
5.7
3,069.9
122.8
87.8
57.3
173.5
84.6
75.3
336.5
802.3
93.9
100.0
64.3
75.1
3,049.7
121.4
85.9
57.5
171.6
85.5
74.3
335.6
798.0
94.2
99.7
63.7
73.9
3,063.9
122.7
87.0
57.1
173.5
83.8
74.5
334.8
802.4
93.7
99.9
63.9
74.6
3,047.0
121.5
85.9
57.5
171.5
85.5
74.1
333.5
796.9
93.6
99.8
63.8
73.9
128.5
4.7
3.4
2.2
7.1
4.0
2.6
9.7
37.3
3.6
5.2
2.4
2.6
131.2
4.9
3.3
2.3
7.6
4.1
2.6
10.4
37.6
3.7
5.3
2.5
2.7
132.4
4.9
3.9
2.2
7.3
4.1
2.7
9.3
35.6
3.5
5.4
2.2
2.7
137.1
5.1
3.9
2.5
7.9
4.2
2.9
10.2
36.1
3.7
5.5
2.4
2.8
4.2
3.8
3.9
3.8
4.1
4.8
3.5
2.9
4.7
3.8
5.1
3.8
3.5
4.3
4.1
3.9
4.1
4.4
4.8
3.5
3.1
4.7
4.0
5.3
3.9
3.6
4.3
4.0
4.4
3.9
4.2
4.9
3.7
2.8
4.4
3.7
5.4
3.5
3.7
283.5
40.6
43.3
286.8
41.3
42.6
282.3
40.7
43.1
283.4
40.7
42. t
10.7
1.4
1.9
11.0
1.5
1.8
11.0
1.4
2.0
9.3
1.3
1.6
3.8
3.4
4.5
3.8
3.6
4.2
3.9
3.5
4.6
1,372.8
1,433.1
1,383.5
1,415.4
136.3
180.4
136.0
52.6
9.9
12.6
9.8
1
Estimates are not model-based as of September 2005.
Area boundaries do not reflect official OMB definitions.
P = preliminary.
- Data not available.
NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a
monthly household survey similiar to the Current Population Survey. Area
definitions are based on Office of Management and Budget Bulletin No. 04-03,
dated February 18, 2004, and are available at http://www.bls.gov/lau/lausmsa.htm
and in the May issue of Employment and Earnings. Areas in the six New England
2005P
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-Moline-Rock Island, Iowa-Ill., and Weirton-Steubenville, W.Va-Ohio, are
the exceptions in that they are listed under Illinois and Ohio, respectively, for
operational reasons. Estimates for the latest month are revised the following month,
and at least 3 years of estimates are subject to revision at the end of the year, to
incorporate updated inputs and reestimation.
2
2004
December
189
LABOR FORCE DATA
NOT SEASONALLY ADJUSTED
C-4. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan division 1
(Numbers in thousands)
Unemployed
Civilian labor force
Number
Percent of labor force
State, area, and division
November
November
December
December
2005
2004
870.0
304.4
252.6
51.9
89.0
53.3
35.7
5.8
5.7
6.2
3.9
5.2
5.3
5.0
5.1
4.6
4.9
3.7
4.7
4.8
4.5
5.7
5.4
6.0
3.6
4.7
4.9
4.5
27.1
100.3
18.1
82.3
17.2
84.2
16.4
67.8
8.8
3.7
3.2
3.8
6.0
3.3
3.1
3.3
9.0
3.6
2.9
3.7
312.4
108.4
379.0
129.6
260.6
89.4
4.6
5.0
3.6
4.0
4.5
4.9
42.0
60.9
29.9
35.6
48.6
24.3
40.2
61.4
28.0
28.2
42.0
19.3
4.5
5.4
4.9
3.7
4.2
3.9
4.3
5.5
4.6
6,481.4
4,731.3
3,956.2
327.7
447.3
374.2
271.6
233.2
16.9
21.5
320.6
241.5
206.1
17.2
18.2
367.1
261.4
221.2
17.1
23.1
342.0
254.7
215.6
18.5
20.5
5.8
5.7
5.8
5.2
5.1
4.9
5.1
5.2
5.2
4.1
5.7
5.5
5.5
5.3
5.4
3,370.8
2,445.5
1,474.5
123.0
143.1
118.5
69.8
151.7
127.2
176.1
61.6
3,375.9
2,452.4
1,475.3
123.5
143.3
119.0
69.9
152.1
127.0
180.4
61.7
143.8
100.3
57.4
5.7
4.9
5.1
5.3
7.2
5.8
6.2
2.6
149.8
104.7
60.3
5.9
5.2
5.4
4.9
7.2
6.0
7.0
2.7
141.4
96.6
54.7
5.6
4.8
5.1
5.2
7.0
5.6
5.9
2.6
151.6
101.8
58.4
5.9
5.3
5.1
5.0
6.9
5.9
6.5
2.8
4.3
4.1
3.9
4.6
3.4
4.3
7.5
4.7
4.6
3.5
4.2
4.4
4.3
4.1
4.8
3.6
4.5
7.0
4.7
4.7
3.9
4.4
4.2
4.0
3.7
4.6
3.4
4.3
7.4
4.6
4.4
3.4
4.2
5,146.3
2,217.6
920.7
1,296.9
5,089.9
2,207.6
918.7
1,288.9
5,127.7
2,207.0
916.8
1,290.2
357.6
161.1
81.6
79.5
317.5
150.2
75.0
75.2
360.9
154.9
76.3
78.6
327.2
149.2
72.7
76.4
7.0
7.3
8.8
6.1
6.2
6.8
8.1
5.8
7.1
7.0
8.3
6.1
9,390.2
9,132.7
1,165.0
1,471.1
5,417.5
1,079.1
9,413.2
9,201.4
1,189.9
1,475.2
5,448.0
1,088.3
9,395.1
9,140.0
1,161.6
1,473.2
5,427.2
1,077.9
9,441.6
9,223.3
1,191.6
1,486.8
5,455.1
1,089.9
477.2
438.7
41.6
60.9
293.4
42.8
496.0
464.9
47.0
62.3
308.4
47.3
502.8
448.5
40.4
62.4
304.0
41.8
467.8
441.6
47.8
59.1
286.7
48.1
5.1
4.8
3.6
4.1
5.4
4.0
5.3
5.1
4.0
4.2
5.7
4.3
5.4
4.9
3.5
4.2
5.6
3.9
6,356.5
2,949.0
650.0
1,950.3
348.7
6,323.6
2,978.0
672.0
1,943.9
362.1
6,333.2
2,947.2
650.5
1,948.2
348.5
6,288.3
2,977.1
672.6
1,939.7
364.8
329.2
137.2
24.8
98.7
13.7
306.3
139.8
28.1
96.9
14.7
326.5
131.5
24.5
92.9
14.0
275.5
127.1
28.2
83.0
15.8
5.2
4.7
3.8
5.1
3.9
4.8
4.7
4.2
5.0
4.1
5.2
4.5
3.8
4.8
4.0
Texas
Dallas-Fort Worth-Arlington
Dallas-Plano-lrving
Fort Worth-Arlington
11,120.5
2,995.3
2,006.3
989.0
11,329.3
3,048.9
2,044.6
1,004.4
11,128.1
2,999.5
2,009.7
989.8
11,302.7
3,043.2
2,039.9
1,003.2
652.4
170.9
117.1
53.8
590.7
152.7
104.0
48.6
642.3
165.9
113.8
52.1
545.2
140.9
96.0
44.9
5.9
5.7
5.8
5.4
5.2
5.0
5.1
4.8
5.8
5.5
5.7
5.3
Washington
Seattie-Tacoma-Believue
Seattle-Bellevue-Everett
Tacoma
3,258.0
1,712.6
1,339.3
373.3
3,336.5
1,763.3
1,381.8
381.5
3,276.6
1,724.8
1,347.2
377.6
3,323.3
1,763.5
1,384.3
379.3
189.7
89.9
65.4
24.4
183.7
89.6
67.8
21.8
193.1
87.6
63.7
23.9
176.2
82.8
63.4
19.4
5.8
5.2
4.9
6.5
5.5
5.1
4.9
5.7
5.9
5.1
4.7
6.3
2004
2005
2004
2005P
2004
17,668.6
6,464.6
4,862.3
1,602.2
2,192.7
1,267.1
925.5
17,942.0
6,563.5
4,931.4
1,632.0
2,226.4
1,291.4
934.9
17,626.4
6,461.3
4,859.1
1,602.2
2,188.0
1,264.7
923.3
17,992.9
6,604.3
4,967.4
1,636.9
2,234.2
1,296.5
937.6
1,032.2
366.0
303.0
63.0
113.0
66.7
46.3
923.9
303.1
242.0
61.1
103.7
62.0
41.6
349.5
291.3
58.2
103.4
62.0
41.4
District of Columbia
Washington-Arlington-Alexandria 2
Bethesda-Frederick-Gaithersburg 3
Washington-Arlington-Alexandria 2
300.6
2,818.8
616.2
2,202.5
292.1
2,898.1
631.2
2,266.9
302.1
2,813.5
613.2
2,200.4
292.4
2,895.7
632.6
2,263.2
26.5
103.0
19.6
83.4
17.4
94.9
19.8
75.2
Florida
Miami-Fort Lauderdale-Miami Beach
Fort Lauderdale-Pompano Beach-Deerfield
Beach
'.
Miami-Miami Beach-Kendall
West Palm Beach-Boca Raton-Boynton Beach
8,493.0
2,648.7
8,785.5
2,738.6
8,488.3
2,654.0
8,741.6
2,724.0
393.7
132.7
924.5
1,120.4
603.8
966.1
1,149.5
623.0
925.9
1,121.5
606.6
961.0
1,140.4
622.6
Illinois
Chicago-Naperville-Joliet2
Chicago-Naperville-Joliet
Gary 3 '
Lake County-Kenosha County 2
6,431.0
4,748.8
4,000.4
322.4
426.0
6,515.4
4,771.3
3,998.6
328.6
444.1
6,405.4
4,735.4
3,987.4
321.8
426.2
Massachusetts
Boston-Cambridge-Quincy 2
Boston-Cambridge-Quincy
Brockton-Bridgewater-Easton
Framingham
Haverhill-North Andover-Amesbury 2
Lawrence-Methuen-Salem 2
Lowell-Billerica-Chelmsford 2
Lynn-Peabody-Salem
Nashua 2
Taunton-Norton-Raynham
3,378.9
2,452.2
1,477.9
123.4
143.3
119.1
70.2
152.1
127.3
177.1
61.7
3,383.9
2,460.8
1,480.1
123.9
143.4
120.0
70.3
152.5
127.4
181.3
61.9
Michigan
Detroit-Warren-Livonia
Detroit-Uvonia-Dearborn
Warren-Farmington Hills-Troy
5,121.4
2,222.1
926.7
1,295.4
New York
New York-Northern New Jersey-Long Island 2 ...
Edison 3
Nassau-Suffolk
New York-Wayne-White Plains 2
Newark-Union 3
Pennsylvania
Philadelphia-Camden-Wilmington 2
Camden 3
Philadelphia
Wilmington 3
California
Los Angeles-Long Beach-Santa Ana
Los Angeles-Long Beach-Glendale
Santa Ana-Anaheim-Irvine
San Francisco-Oakland-Fremont
Oakland-Fremont-Hayward
San Francisco-San Mateo-Redwood City
1
These 11 areas contain all of the 34 metropolitan divisions.
Part of the area (or division) is in one or more adjacent states.
3
All of the division is in one or more adjacent states.
P = preliminary.
NOTE: Data refer to place of residence. Area definitions are based on Office of
Management and Budget Bulletin No. 04-03, dated February 18, 2004, and are
available at http://www.bls.govAauAausmsa.htm a n d 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
2005P
corresponds to the first city in their title. Metropolitan divisions are listed under their
metropolitan areas. Some divisions lie in more than one state, and some, like
Camden, N.J., are totally outside the states under which their metropolitan areas are
listed. Estimates for the latest month are revised the following month, and at least 3
years of estimates are subject to revision at the end of the year, to incorporate
updated inputs and reestimation. Two sets of metropolitan areas and divisions have
similar or identical titles. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va.,
the titles are identical. For the Chicago-Naperville-Joliet, Ill.-lnd.-Wis., metropolitan
area, the division title includes only Illinois.
2
2005P
December
2004
2005
2004
November
190
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 are 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 drawnfroma 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 onlyfromthe 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 BETWEEN THE HOUSEHOLD
AND ESTABLISHMENT SERIES
Unpaid absencesfromjobs. 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-
Hours of work
The household survey measures hours worked for all workers, whereas the payroll survey measures hours for
191
during the week are sometimes eligible for unemployment
compensation but are classified as employed, rather than
unemployed, in the household survey.
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).
Agricultural employment estimates of the U.S. 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, U.S. 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
COMPARABILITY OF HOUSEHOLD DATA
administrative offices and auxiliary units; the industrial
WITH OTHER SERIES
classification of establishments; and different reporting
patterns by multiunit companies. There also are differences
Unemployment insurance data. The unemployed total from in the scope of the industries covered—for example, the
the household survey includes all persons who did not have
Census of Business excludes professional services, public
a job during the reference week, were currently available
utilities, and financial establishments, whereas these are
for a job, and were looking for work or were waiting to be
included in the BLS statistics.
called back to a job from which they had been laid off,
whether or not they were eligible for unemployment insurCounty Business Patterns, U.S. Census Bureau. Data in
ance. Figures on unemployment insurance claims, prepared
County Business Patterns (CBP) differ from BLS establishby the Employment and Training Administration of the U.S. ment statistics in the treatment of central administrative ofDepartment of Labor, exclude, in addition to otherwise infices and auxiliary units. Differences also may arise because
eligible persons who do not file claims for benefits, perof industrial classification and reporting practices. In addisons who have exhausted their benefit rights, new workers
tion, CBP excludes interstate railroads and most of governwho have not earned rights to unemployment insurance,
ment, and coverage is incomplete for some of the nonprofit
and persons losing jobs not covered by unemployment inagencies.
surance systems (some workers in agriculture, domestic
services, and religious organizations, and self-employed and Employment covered by State unemployment insurance prounpaid family workers).
grams. Most nonfarm wage and salary workers are covered
In addition, the qualifications for drawing unemployment
by the unemployment insurance programs. However, some
compensation differ from the definition of unemployment
employees, such as those working in parochial schools and
used in the household survey. For example, persons with a
churches, are not covered by unemployment insurance, whereas
job but not at work and persons working only a few hours
they are included in the BLS establishment statistics.
192
Household Data
("A" tables, monthly; "D" tables, quarterly)
COLLECTION AND COVERAGE
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.
Statistics on the employment status of the population and
related data are compiled by BLS using datafromthe Cur
rent Population Survey (CPS). This monthly survey of house •
holds 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 ofthe month. This is known as the "reference week." Unemployed persons. AH persons who had no employment
Actualfieldinterviewing is conducted in the following week, during the reference week, were available for work, except
for temporary illness, and had made specific efforts to find
referred to as the "survey week."
employment sometime during the 4-week period ending with
Each month, about 60,000 occupied units are eligible for
interview. Some 4,500 of these households are contacted but the reference week. Persons who were waiting to be recalled
to a job from which they had been laid off need not have
interviews are not obtained because the occupants are not at
been looking for work to be classified as unemployed.
home after repeated calls or are unavailable for other reasons. This represents a noninterview rate for the survey that
Duration of unemployment This represents the length of
ranges between 7 and 8 percent. In addition to the 60,000
time (through the current reference week) that persons clasoccupied units, there are about 12,000 sample units in an
sified as unemployed had been looking for work. For peraverage month that are visited but found to be vacant or
sons on layoff, duration of unemployment represents the
otherwise not eligible for enumeration. Part ofthe sample is
number of full weeks they had been on layoff. Mean durachanged each month. The rotation plan, as will be
tion is the arithmetic average computed from single weeks
explained later, provides for three-fourths of the sample to
of unemployment; median duration is the midpoint of a
be common from one month to the next, and one-half to be
distribution of weeks of unemployment.
common with the same month a year earlier.
Reason for unemployment. Unemployment also is categoCONCEPTS AND DEFINITIONS
rized according to the status of individuals at the time they
began to look for work. The reasons for unemployment are
The concepts and definitions underlying labor force data
divided into five major groups: (1) Job losers, comprising
have been modified, but not substantially altered, since the
(a) persons on temporary layoff, who have been given a date
inception of the survey in 1940; those in use as of January
to return to work or who expect to return within 6 months
1994 are as follows:
(persons on layoff need not be looking for work to qualify as
Civilian noninstitutional population. Included are persons unemployed), and (b) permanent job losers, whose employ16 years of age and older residing in the 50 States and the
ment ended involuntarily and who began looking for work;
District of Columbia who are not inmates of institutions (for
(2) Job leavers, persons who quit or otherwise terminated
example, penal and mental facilities, homes for the aged),
their employment voluntarily and immediately began lookand who are not on active duty in the Armed Forces.
ing for work; (3) Persons who completed temporary jobs,
Employed persons. All persons who, during the reference who began looking for work after the jobs ended; (4) Reenweek, (a) did any work at all (at least 1 hour) as paid employ- trants, persons who previously worked but who were out of
ees, worked in their own business, profession, or on their own the labor force prior to beginning their job search; and (5)
farm, or worked 15 hours or more as unpaid workers in an
New entrants, persons who had never worked. Each of these
enterprise operated by a member ofthe family, and (b) all those five categories of the unemployed can be expressed as a
who were not working but who had jobs or businesses from proportion of the entire civilian labor force; the sum of the
four rates thus equals the unemployment rate for all civilian
which they were temporarily absent because of vacation, illworkers. (For statistical presentation purposes, "job losers"
ness, bad weather, childcare problems, maternity or paternity
leave, labor-management dispute, job training, or other fam- and "persons who completed temporary jobs" are combined
ily or personal reasons, whether or not they were paid for the into a single category until seasonal adjustments can be developed for the separate categories.)
time off or were seeking other jobs.
193
Jobseekers. All unemployed persons who made specific
efforts tofinda 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 assistancefromfriendsor 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.
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 kindfroma 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.
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
Participation rate. This represents the proportion of the popu- and salary job, or worked as an unpaid family worker and
lation that is in the labor force.
also held a wage and salary job. Excluded are self-employed
persons
with multiple businesses and persons with multiple
Employment-population ratio. This represents the proporjobs
as
unpaid
family workers.
tion of the population that is employed.
Unemployment rate. The unemployment rate represents the
number unemployed as a percent of the labor force.
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.
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.
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
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
At work part time for economic reasons. Sometimes re^
ferred 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
194
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 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.
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 his
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 absentfromwork. 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-time 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 layofffromfull-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
195
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.
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:
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.
• 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.
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:
• 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
a) The introduction of a redesigned and automated queswere waiting to start a new wage and salary job within 30 days tionnaire. The CPS questionnaire was totally redesigned in
of interview, were, for the most part, reassigned to the unem- order to obtain more accurate, comprehensive, and relevant
ployed classification. The only exception was the small subinformation, and to take advantage of state-of-the-art comgroup in school during the reference week but waiting to start puter interviewing techniques.
new jobs, which was transferred to not in the labor force.
b) The addition of two, more objective, criteria to the
• In 1967, more substantive changes were made as a redefinition
of discouraged workers. Prior to 1994, to be classult of the recommendations of the President's Committee
sified
as
a
discouraged worker, a person must have wanted a
to Appraise Employment and Unemployment Statistics (the
job
and
been
reported as not currently looking because of a
Gordon Committee). The principal improvements were as
belief
that
no
jobs were available or that there were none for
follows:
which he or she would qualify. Beginning in 1994, persons
a) A 4-week job search period and specific questions on
classified as discouraged must also have looked for a job
jobseeking activity were introduced. Previously, the queswithin the past year (or since their last job, if they worked
tionnaire was ambiguous as to the period for jobseeking,
during the year), and must have been available for work
and there were no specific questions concerning job search
during the reference week (a direct question on availability
methods.
was added in 1994; prior to 1994, availability had been
inferred from responses to other questions). These changes
b) An availability test was introduced whereby a person
were made because the NCEUS and others felt that the previmust be currently available for work in order to be classified
ous definition of discouraged workers was too subjective,
as unemployed. Previously, there was no such requirement.
relying mainly on an individual's stated desire for a job and
This revision to the concept mainly affected students, who,
not on prior testing of the labor market.
for example, may begin to look for summer jobs in the spring
c) Similarly, the identification of persons employed part
although they will not be available until June or July. Such
time for economic reasons (working less than 35 hours in the
persons, until 1967, had been classified as unemployed but
reference week because of poor business conditions or besince have been assigned to the "not in the labor force"
cause of an inability to find full-time work) was tightened
category.
196
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.
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/tp/
tp63.htm; "Overhauling the Current Population Survey—
Why is it Necessary to Change?," "Redesigning the Questionnaire," 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.
Noncomparability 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 1953, as a result of introducing data from
the 1950 census into the estimating procedures, population levels were raised by about 600,000; labor force,
total employment, and agricultural employment were
increased by about 350,000, primarily affecting thefiguresfor
totals and for men; other categories were relatively
unaffected.
• InMarch 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 employmentfigureswere 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.
• 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 DerivedfromInflation-Deflation Method of Estimation," in the February
1974 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.
• 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 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; unemployment totals were virtually unchanged.
• 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. The 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 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
• 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.
197
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.
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 obtainedfromthe 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 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 die period January through May 1994,
the composite estimation procedure was suspended for technical and logistical reasons.
• Beginning in January 1983, the first-stage ratio adjustment method was updated to incorporate datafromthe 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 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,
• 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 February 1997 issue of
this publication.
198
• 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
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-born 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.
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.
• Beginning in January 1999, the population controls used
in the survey were revised to reflect newly 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 490,000. The Hispanic ~
origin 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
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.
199
no effect on overall and subgroup unemployment rates and
measures of labor market participation such as 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 2006" in
the February 2006 issue of this publication available on the
Internet at http://www.bls.gov/cps/cps06adj.pdf.
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.bls.gov/cps/rvcps03.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/cps04adj.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 as 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/cps05adj.pdf.
• Beginning in January 2006, 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
67,000 in the estimated size of the civilian noninstitutional
population 16 years of age and over for December 2005. The
civilian labor force and employment levels decreased by
130,000 and 123,000, respectively. The updated controls had
200
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 questionnaire in order 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 die 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 the 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 storesfrom"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 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/cps/rvcps03.pdf.
Sampling
Since the inception of the survey, there have been various
changes in the design of the CPS sample. The sample traditionally 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 1960,
respectively, three sample areas were added to the existing
sample to account for the population of these States. In January 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 construction 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 1981.
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
201
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.
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. A redesigned CPS sample based on Census
2000, the 2000 decennial census, was selected for use during the 2000s. Households from the new sample were phased
into the CPS from April 2004 to July 2005. The July 2005
sample was the first monthly sample based entirely on Census 2000. For further information on the 2000 sample redesign, see "Redesign of the Sample for the Current Population Survey" in the December 2004 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 includes about 72,000 "assigned" housing units from 824 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 26 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.)
In the first stage of sampling, the 824 sample areas are
chosen. In the second stage, ultimate sampling units 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
3,000, a within-PSU sampling ratio of 1 in 300 achieves the
desired ratio of 1 in 3,000 for the stratum.
The 2000 within-PSU sample design was developed using
block-level datafromCensus 2000. 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
Selection of sample areas. The entire area of the United
grouped into three strata: Unit, group quarters, and area.
States, consisting of 3,142 counties and independent cities,
(Occasionally, units within a block were split between the
is divided into 2,025 sample units (PSUs). A PSU consists of unit and group-quarters strata.) The unit stratum contained
a county or a number of contiguous counties.
regular housing units with addresses that were easy to locate
Metropolitan areas within a State are used as a basis for
(for example, most single-family homes, townhouses, conforming PSUs. Outside of metropolitan areas, counties nordominiums, apartment units, and mobile homes). The groupmally are combined except when the geographic area of an
quarters stratum contained housing units in which residents
shared common facilities or received formal or authorized
individual county is too large. Combining counties to form
PSUs provides greater heterogeneity; a typical PSU includes care or custody. Unit and group-quarters blocks exist primarily in urban areas. The area stratum contains blocks with
urban and rural residents of both high and low economic
addresses that are more difficult to locate. Area blocks exist
levels and encompasses, to the extent feasible, diverse ocprimarily in rural areas.
cupations and industries. Another important consideration
To reduce the variability of the survey estimates and to enis that the PSU be sufficiently compact so that, with a small
sure that the within-PSU sample would reflect the demographic
sample spread throughout, it can be efficiently canvassed
and socioeconomic characteristics of the PSU, blocks within
without undue travel cost.
the
unit, group-quarters, and area strata were sorted using geoThe 2,025 PSUs are grouped into strata within each State.
graphic
and block-level datafromthe census. Examples of the
Then, one PSU is selectedfromeach stratum with the probcensus
variables
used for sorting include proportion of minorability of selection proportional to the population of the
ity
renter-occupied
housing units, proportion of housing units
PSU. Nationally, there are a total of 446 PSUs in strata by
with
female
householders,
and proportion of owner-occupied
themselves. These strata are self-representing and are generhousing
units.
The
specific
sorting variables used differed by
ally the most populous PSUs in each State. The 328 remaintype
of
PSU
(urban
or
rural)
and stratum.
ing strata are formed by combining PSUs that are similar in
Within
each
block,
housing
units were sorted geographisuch characteristics as unemployment, proportion of houscally.
A
systematic
sample
of
these
units was then selected
ing units with three or more persons, number of persons
independently
from
each
stratum
using
the appropriate withinemployed in various industries, and average monthly wages
PSU
sampling
ratio.
The
geographic
sorting
of the sample units
for various industries. The single PSU randomly selected
reduces
field
representative
travel
costs.
Prior
to interviewing,
from each of these strata is nonself-representing because it
special
listing
procedures
are
used
to
locate
the particular
represents not only itself but the entire stratum. The probsample
addresses
in
the
group-quarters
and
area
blocks.
ability of selecting a particular PSU in a nonself-representUnits
in
the
three
strata
described
above
all
existed
at the
ing stratum is proportional to its 2000 population. For
time
of
Census
2000.
Through
a
series
of
additional
proceexample, within a stratum, the chance that a PSU with a
dures, a sample of building permits is included in the CPS to
population of 50,000 would be selected for the sample is
represent housing units built after the decennial census.
twice that for a PSU having a population of 25,000.
Adding these newly built units keeps the sample up to date
Selection ofsample households. Because the sample design is and representative of the population. It also helps to keep
the sample size stable: Over the life of the sample, the addiState based, the sampling ratio differs by State and depends on
tion of newly built housing units compensates for the loss of
State population size as well as both national and State reli"old" units that may be abandoned, demolished, or conability requirements. The State sampling ratios range roughly
verted to nonresidential use.
from 1 in every 100 households to 1 in every 3,000 households. The sampling ratio occasionally is modified slightly to
Rotation of sample. Part of the sample is changed each
hold the size of the sample relatively constant given the overmonth. Each monthly sample is divided into eight represenall growth of the population. The sampling ratio used within a tative subsamples or rotation groups. A given rotation group
sample PSU depends on the probability of selection of the PSU is interviewed for a total of 8 months, divided into two equal
and the sampling ratio for the State. In a sample PSU with a
periods. It is in the sample for 4 consecutive months, leaves
probability of selection of 1 in 10 and a State sampling ratio of the sample during the following 8 months, and then returns
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.
202
Table 1-A. Characteristics of 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. 1989
Apr. 1989 to Oct. 1994 3
Nov. 1994 to Aug. 1995 4
Sept. 1995 to Dec. 1995
Jan. 1996 to June 2001
July 2001 to July 2004 5
Aug. 2004 to present5
Interviewed
68
230
1
330
2333
357
449
449
461
614
629
629
729
729
729
792
792
754
754
824
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
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
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
12,000
1
Beginning in May 1956, 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-month period, AprilNovember 1989.
4
includes 2,000 additional assigned housing units from Georgia and Virginia
that were gradually phased in during the 10-month period, October 1994August 1995.
5
Includes 12,000 assigned housing units in support of the State Children's
Health Insurance Program.
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 commonfrommonth 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.
sents. 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
areas within a State. Through a series of estimation steps
(outlined below), the selection probabilities are adjusted for
noninterviews and survey undercoverage; datafromprevious months are incorporated into the estimates through the
composite estimation procedure.
CPS sample, 1947 to present. Table 1-A provides a
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 at
www.bls.census.gov/cps/tp/tp63.htm. A description of the
Census 2000-based sample design appears in "Redesign of
the Sample for the Current Population Survey," in the
December 2004 issue of this publication.
ESTIMATING METHODS
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 repre-
203
/. 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.
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 madefromthe sample, the personnel and institutionalized persons reduce the resident
survey estimates can be substantially improved when
population to the civilian noninstitutional population. Prior
weighted appropriately by the known distribution of these
to January 2003, the projections were based on earlier
population characteristics. This is accomplished through
censuses. See "Revisions to the Current Population Survey
two stages of ratio adjustment, as follows:
Effective in January 2003," in the February 2003 issue of
a. First-stage ratio estimation. The purpose of the first- this publication for a detailed discussion of changes to the
second-stage weighting and composite estimating procestage ratio adjustment is to reduce the contribution to variance that resultsfromselecting a sample of PSUs rather than dures that were introduced in January 2003.
drawing sample households from every PSU in the Nation.
This adjustment is made to the CPS weights in two race cells: 3. Composite estimation procedure. The last step iii the
preparation of most CPS estimates makes use of a composite
Black and nonblack; it is applied only to PSUs that are not
estimation procedure. The composite estimate consists of a
self-representing and for those States that have a substantial
number of black households. The procedure corrects for dif- weighted average of two factors: The two-stage ratio estimate based on the entire samplefromthe current month and
ferences that existed in each State cell at the time of Census
the
composite estimate for the previous month, plus an esti2000 between 1) the race distribution of the population in
mate
of the month-to-month change based on the six rotasample PSUs and 2) the race distribution of all PSUs. (Both 1
tion
groups
common to both months. In addition, a bias
and 2 exclude self-representing PSUs.)
adjustment term is added to the weighted average to
b. National coverage adjustment The purpose of this account for relative bias associated with month-in-sample
step is to improve the adjustment for subpopiilations most
estimates. This month-in-sample bias is exhibited by
prone to undercoverage. It adjusts CPS sample weights to
unemployment estimates for persons in their first and fifth
independent population estimates for 34 white nonmonths in the CPS being generally higher than estimates
Hispanic, 26 black non-Hispanic, 18 Asian non-Hispanic,
obtained for the other months.
18 residual race non-Hispanic, 26 white Hispanic, and 4
The composite estimate results in a reduction in the samnon-white Hispanic age-sex cells.
pling error beyond that which is achieved after the two stages
c. State coverage adjustment This step adjusts CPS of ratio adjustment For some items, the reduction is substantial. The resultant gains in reliability are greatest in estimates
sample weights to independent state population estimates.
The number of age-sex cells for each state varies, depending of month-to-month change, although gains usually are also
obtained for estimates of level in a given month, change from
on the black and nonblack population.
year to year, and change over other intervals of time.
d. Second-stage ratio estimation. This procedure substantially reduces the variability of estimates and corrects,
Rounding of estimates
to some extent, for CPS undercoverage. A national-coverage The sums of individual items may not always equal the tostep a?id a State-coverage step make preliminary corrections tals shown in the same tables because of independent roundfor undercoverage. The CPS sample weights are then ading of totals and components to the nearest thousand. Simijusted to ensure that sample-based estimates of population
larly, sums of percent distributions may not always equal
match independent population controls. Three sets of con100 percent because of rounding. Differences, however, are
trols are used in different steps of the procedure:
insignificant.
1) State step: Civilian noninstitutional population
Reliability of the estimates
controls for 6 age-sex cells in the Los Angeles-Long Beach
An
estimate based on a sample survey has two types of error
metropolitan area, the balance of California, New York City,
sampling
error and nonsampling error. The estimated standard
the balance of New York State, each of the other 48 States,
errors provided in this publication are approximations of the
and the District of Columbia.
true sampling errors. They incorporate the effect of some
2) Ethnicity step: National civilian noninstitutional
nonsampling errors in response and enumeration, but do not
population controls for 26 Hispanic and 26 non-Hispanic
account for any systematic biases in the data.
age-sex cells.
Nonsampling error. The full extent of nonsampling error is
3) Race step: National civilian noninstitutional
unknown, but special studies have been conducted to quanpopulation controls for 34 white, 26 black, and 26 Asiantify some sources of nonsampling error in the CPS. The
plus-residual-race age-sex cells.
effect of nonsampling error is small on estimates of relative
The independent population controls are prepared by pro- change, such as month-to-month change; estimates of
monthly levels tend to be affected to a greater degree.
jecting forward the resident population as enumerated on
April 1, 2000. The projections are derived by updating
Nonsampling errors in surveys can be attributed to many
demographic census data with information from a variety of
sources, for example, the inability to obtain information about
all persons in the sample; differences in the interpretation of
other data sources that account for births, deaths, and net
questions; inability or unwillingness of respondents to promigration. Estimated numbers of resident Armed Forces
204
Sampling error. When a sample, rather than the entire populavide correct information; inability of respondents to recall
tion, is surveyed, estimates differfromthe true population valinformation; errors made in collecting and processing the
ues that they represent. This difference, or sampling error, ocdata; errors made in estimating values for missing data; and
curs by chance, and its variability is measured by the standard
failure to represent all sample households and all persons
error of the estimate. Sample estimatesfroma given survey
within sample households (undercoverage).
design are unbiased when an average of the estimatesfromall
Nonsampling errors occurring in the interview phase of
possible samples would yield, hypotheticaily, the true populathe survey are studied by means of a reinterview program.
This program is used to estimate various sources of error, as tion value. In this case, the sample estimate and its standard
error can be used to construct approximate confidence interwell as to evaluate and control the work of the interviewers.
vals, or ranges of values that include the true population value
A random sample of each interviewer's work is inspected
with known probabilities. If the process of selecting a sample
through reinterview at regular intervals. The results
from the population were repeated many times, an estimate
indicate, among other things, that the data published
madefromeach sample, and a suitable estimate of its standard
from the CPS are subject to moderate systematic biases.
error calculated for each sample, then:
A description of the CPS reinterview program may be
found in Appendix G, "Reinterview: Design and Methodol1. Approximately 68 percent of the intervals from one
ogy," of "The Current Population Survey: Design and
standard
error below the estimate to one standard error above
Methodology," Technical Paper 63RV (Washington,
the
estimate
would include the true population value.
U.S. Census Bureau and Bureau of Labor Statistics, March
2. Approximately 90 percent of the intervals from 1.645
2002), available on the Internet at www.bls.census.gov/cps/
standard
errors below the estimate to 1.645 standard errors
tp/tp63.htm.
above
the
estimate would include the true population value.
The effects of some components of nonsampling error in
3. Approximately 95 percent of the intervals from 1.96
the CPS data can be examined as a result of the rotation plan
used for the sample, because the level of the estimates varies standard errors below the estimate to 1.96 standard errors
by rotation group. A description appears in Barbara A. Bailar, above the estimate would include the true population value.
These confidence interval statements are approximately
"The Effects of Rotation Group Bias on EstimatesfromPanel
Surveys," Journal of the American Statistical Association, true for the CPS. Although the estimating methods used in
the CPS do not produce unbiased estimates, biases for most
March 1975, pp. 23-30.
estimates are believed to be small. Methods for estimating
Undercoverage in the CPS results from missed housing
standard errors reflect not only sampling errors but also some
units and missed persons within sample households. The
kinds of nonsampling error. Although both the estimates
CPS covers about 92 percent of the decennial census popuand the estimated standard errors departfromthe theoretical
lation (adjusted for census undercount). It is known that the
CPS undercoverage varies with age, sex, race, and Hispanic ideal, the departures are minor and have little impact
on the confidence interval statements. When clarity is
origin. Generally, undercoverage is larger for men than for
needed, an estimated confidence interval is specified to be
women and is larger for blacks, Hispanics, and other races
"approximate," as is the estimated standard error used in the
than for whites. Ratio adjustment to independent age-sexcomputation.
race-origin population controls, as described previously,
partially corrects for the biases due to survey undercoverage.
Tables 1-B through 1-D are provided so that approximate
However, biases exist in the estimates to the extent that missed standard errors of estimates can be easily obtained. Tables
persons in missed households or missed persons in inter1-B and 1-C give approximate standard errors for estimated
viewed households have characteristics different from
monthly levels and rates for selected employment status
those of interviewed persons in the same age-sex-race-origin characteristics; the tables also provide approximate
group.
standarderrors for consecutive month-to-month changes in
Additional information on nonsampling error in the CPS
the estimates. It is impractical to show approximate standard
appears in Camilla Brooks and Barbara Bailar, "An Error
errors for all CPS estimates in this publication, so table 1-D
Profile: Employment as Measured by the Current Population provides parameters and factors that allow the user to
Survey," Statistical Policy Working Paper 3 (Washington,
calculate approximate standard errors for a wide range of
U.S. Department of Commerce, Office of Federal Statistical
estimated levels, rates, and percentages, and also changes
Policy and Standards, September 1978); Marvin Thompson
over time. The parameters and factors are used in formulas
and Gary Shapiro, "The Current Population Survey: An
that are commonly called generalized variance functions.
Overview," Annals of Economic and Social Measurement,
The approximate standard errors provided in this publiVol. 2, April 1973; and "The Current Population Survey:
cation are based on the sample design and estimation proceDesign and Methodology," Technical Paper 63RV referenced dures as of 1996, and reflect the population levels and sample
above. The last document includes a comprehensive
size as of that year. Standard errors for years prior to 1996
discussion of various sources of errors and describes attempts may be roughly approximated by applying these adjustments
to measure them in the CPS.
to the standard errors presented here. (More accurate stan-
205
Table 1-B. Approximate standard errors for major employment status categories
(In thousands)
Consecutive
Monthly
month-toCharacteristic
level |month change
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
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
66
67
33
119
129
66
97
105
73
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.
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 factor 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.
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
dard error estimates for historical CPS data may be found in
previous issues of this publication.)
1. For the years 1967 through 1995, multiply the standard errors by 0.96.
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.
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
206
Table 1-C. Approximate standard errors for unemployment
rates by major characteristics
(In percent)
Characteristic
Total
Men
Men, 20 years and over
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 month-torate month 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
assumed to be higher than the standard errors for consecutive monthly changes.
se(x) = 4 ax1 + bx
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 b parameters
used in step 2 and the factor/used in this step comefromthe
Standard errors of estimated levels using table 1-D. The same line in table 1-D.
approximate standard error se(x) of JC, an estimated monthly
level, can be obtained using the formula below, where a arid Illustration of a standard error computation for consecub are the parametersfromtable 1-D associated with aparticu- tive month change in level Continuing the previous exlar characteristic.
ample, suppose that in the next month the estimated number
lUustration. Assume that, in a given a month, there are an
estimated 4 million unemployed men. Obtain the appropriate a and b parametersfromtable 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.
a = -0.0000321
& = 2970.55
se(4,000,000) = ^ - 0.0000321(4,000,000)2 + 2970.55(4,000,000) * 107,000
of unemployed men increases by 150,000, from 4,000,000
to 4,150,000.
Step 1. The average of the two monthly levels is x =
4,075,000.
Step 2. Apply the a and b parameters from table 1-D
(Total or white; Men; Unemployed) to the average x, treating it like an estimate for a single month.
Procedure for using table 1-D factors for levels. Table 1-D
a = -0.0000321 6 = 2970.55
gives factors that can be used to compute approximate standard errors of levels for other periods or for changes over
se(4,075,000) = J- 0.0000321 (4,075,000)2+2970.55(4,075,000) * 108,000
time. For each characteristic, factors/are given for:
Step3. Obtain/= 1.11fromthe same row of table 1-Din
Consecutive month-to-month changes
the column "Consecutive month-to-month change," and mulChanges in monthly estimates 1 year apart
tiply the factor by the resultfromstep 2.
Quarterly averages
Changes in consecutive quarterly averages
^(150,000) = / * ^(4,075,000) = 1.11*108,000 *120,000
Yearly averages
Changes in consecutive yearly averages
For an approximate 90-percent confidence interval, compute
1.645 * 120,000 « 197,000. Subtract the number from
For a given characteristic, the table 1-D factor is used in
and
add
the number to 150,000 to obtain an interval
the following formula, which also uses the a and b paramof
-47,000
to 347,000. This is an approximate 90-percent
etersfromthe same line of the table. A three-step procedure
confidence
interval for the true change, and since this interfor using the formula is given. The/in the formula is freval
includes
zero, one cannot assert at this level of confiquently called an adjustment factor, because it appears to
dence
that
any
real change has occurred in the unemployadjust a monthly standard error se(x). However, the x in the
ment
level.
The
result also can be expressed by saying that
formula is not a monthly level, but an average of several
the
apparent
change
of 150,000 is not significant at a 90monthly levels (see examples listed under Step 1, below).
percent confidence level.
se(x, / ) = / * se(x) = / * J (ax2 + bx)
where x is an average of monthly levels over a designated
period.
Step 1. Average monthly levels appropriately in order to
obtain x. 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 2. Calculate an approximate standard error se(x),
treating the average xfromstep 1 as if it were an estimate of
level for a single month. Obtain parameters a and b 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.)
207
lUustration 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.
Step 1. The average of the three monthly levels is JC =
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.
a = -0.0001514 fc = 3454.72
$e(15,000.000) = V-0.0001514 (15,000,000)2+3454.72(15,000,000) * 133,000
Step 3. Obtain/= .87fromthe same row of table 1-D in
the column "Quarterly averages," and multiply the factor by
the resultfromstep 2.
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
se(15,000,000) = .87 *133,000 «116,000
the table 1-D row (Employment; Part-time workers) that is
relevant to the numerator of the percentage. Apply the forIllustration of a standard error computation for change in mula to obtain:
quarterly level Continuing the example, suppose that, in
the next quarter, the estimated average employment level for
se(p,y)
) ( 1A0 0 - - 3 2 ) «1.0percent
U y) = J - - ^ ^ ( ( 3 2VV
F
blacks is 15,400,000, based on monthly levels of 15,300,000,
V 6,200,000
15,400,000, and 15,500,000. This is an estimated increase
of 400,000 over the previous quarter.
For an approximate 95-percent confidence interval, compute 1.96 * 1.0 percent, and round the result to 2 percent.
Step 1. The average of the two quarterly levels is x =
Subtract this from and add this to the estimate of p = 32
15,200,000.
percent to obtain an interval of 30 percent to 34 percent.
Step 2. Apply the a and b parameters from table 1-D
Procedurefor using table 1-Dfactors for rates andpercent(Black; Total; Civilian labor force, employed, and not in
ages. Table 1-D factors can be used to compute approximate
labor force) to the average x, treating it like an estimate for a
standard errors on rates and percentages for other
single month.
periods or for changes over time. As for levels, there are three
steps in the procedure for using the formula.
a = -0.0001514 b = 3454.72
se(l5,200,000) * J- 0.0001514 (15,200,000)2+3454.72(15,200,000) * 132,000
**P,y,f) = f*se(p,y)
Step 3. Obtain / = .82fromthe same row of table 1-D in
the column "Change in consecutive quarterly averages," and
multiply the factor by the result from step 2.
=
f*]-p(l00-p)
where p and y are averages of monthly estimates over a designated period. Note that se (p, y,f) is in percent.
5^(400,000) = .82 *^(15,200,000) = .82*132,000 «108,000
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 /?, 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.
Step 2. Calculate an approximate standard error
se (p, y), treating the averages p and y from step 1 as if they
Standard errors of estimated rates and percentages using were estimates for a single month. Obtain the b parameter
table 1-D. As shown in the formula below, the approximate from the table 1-D row that describes the numerator of the
standard error se(p9y) of an estimated rate or percentage
rate or percentage. (Note that, for some characteristics, an
p depends, in part, upon the number of persons y in its
approximate standard error could instead be obtained from
base or denominator. Generally, rates and percentages
table 1-C and used in place of se (p, y) in the formula.)
are not published unless the monthly base is greater
than 75,000 persons, the quarterly average base is greater
Step 3. Determine the standard error se (p,y,f) on the
than 60,000 persons, or the yearly average base is greater
average level or on the change in level. Multiply the result
than 35,000 persons. The b parameter is obtained from
from step 2 by the appropriate factor/. The b parameter used
table 1-D. When the base y and the numerator of p are
in step 2 and the factor/used in this step comefromthe same
from different categories within the table, use the b param- line in table 1-D.
eter from table 1-D relevant to the numerator of the rate or
Illustration of a standard error computation for consecupercentage.
tive month change in percentage. Continuing the previous
se(p,y)=l-p(l00-p)
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.
208
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 3. Obtain/=l .24fromthe same row of table 1-D in
the column "Consecutive month-to-month change," and multiply the factor by the resultfromstep 2.
Step 2. Apply the b = 3095.55 parameterfromtable 1-D
(Employment; Part-time workers) to the averaged p and y,
treating the averages like estimates for a single month.
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.
^'HIS
se (2 percent) = 1.24 * 1.0 percent = 1.24 percent
(33xioo 33w opercent
~ -
209
Table 1-D. Parameters and factors for computation of approximate standard errors
Parameters
Characteristic
Factors
IConsecutive |Year-to-year
month-tochange
month
of monthly
change
estimates
Quarterly
averages
Change in
consecutive
quarterly
averages
Yearly
averages
Total or white
Total:
Civilian labor force and
employed
Unemployed
Not in labor force
•0.0000167
-.0000164
-.0000087
3067.77
3095.55
1833.31
0.82
1.11
.82
1.19
1.35
1.16
0.87
.74
.87
0.82
.91
.80
0.66
.44
.66
Men:
Civilian labor force, employed,j
-.0000321
and not in labor force
-.0000321
Unemployed
2970.55
2970.55
.82
1.11
1.19
1.35
.87
.74
.82
.91
.66
.44
Women:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0000304
-.0000304
2782.44
2782.44
.82
1.11
1.19
1.35
.87
.74
.82
.91
.66
.44
Both sexes, 16 to 19 years:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0000225
-.0000225
3095.55
3095.55
1.24
1.31
1.39
.82
.68
.85
.88
.57
.39
Total:
Civilian labor force, employed,
and not in labor force
Unemployed
•.0001514
-.0001514
3454.72
3454.72
.82
1.11
1.19
1.35
.87
.74
.82
.91
.66
.44
Men:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0003109
-.0003109
3356.66
3356.66
.82
1.11
1.17
1.35
.83
.74
.81
.91
.62
.44
Women:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0002516
-.0002516
3061.85
3061.85
.82
1.11
1.18
1.35
.86
.74
.78
.91
.67
.44
Both sexes, 16 to 19 years:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0016321
-.0016321
3454.72
3454.72
.98
1.24
1.31
1.39
.80
.68
.90
.88
.53
.39
•;0003462
-.0003462
3198.15
3198.15
.82
1.11
1.27
1.48
.85
.73
.89
.90
.58
.44
-.0007289
.0007289
3198.15
3198.15
.82
1.11
1.28
1.42
.83
.73
.92
.92
.55
.43
Women:
Civilian labor force, employed,!
-.0006594
and not in labor force
.0006594
Unemployed
3198.15
3198.15
.82
1.11
1.31
1.49
.85
.73
.86
.89
.61
.43
Both sexes, 16 to 19 years:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0041465
-.0041465
3198.15
3198.15
1.24
1.31
1.38
.82
.69
.85
.85
.57
.44
Total:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0001412
-.0001412
3454.72
3454.72
.82
1.11
1.19
1.35
.85
.73
.81
.91
.64
.44
Men:
Civilian labor force, employed,
and not in labor force
Unemployed
-.0002528
-.0002528
3356.66
3356.66
.82
1.11
1.19
1.35
.82
.74
.86
.91
.57
.44
Black or African American
Asian
Total:
Civilian labor force, employed,
and not in labor force
Unemployed
Men:
Civilian labor force, employed,
and not in labor force
Unemployed.
Hispanic or Latino ethnicity
210
Table 1-D. Parameters and factors for computation of approximate standard errors—Continued
Parameters
Consecutive] Year-to-year|
Change In
month-tochange
Quarterly consecutive
Yearly
of monthly averages
averages
month
quarterly
estimates
change
averages
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
Factors
-.0002664
-.0002664
3061.85
3061.85
.82
1.11
1.19
1.35
.85
.72
.80
.89
.67
.42
-.0015280
-.0015280
3454.72
3454.72
.98
1.24
1.32
1.39
.79
.68
.88
.88
.50
.39
-0.0000164
3095.55
.82
1.19
.85
.92
.59
-.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
.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
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
Multiple jobholders
At work
.0000164
3095.55
1.11
1.26
.81
.92
.52
.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
-.0000164
3095.55
1.21
1.38
.70
.87
.43
-.0000164
3095.55
1.21
1.29
.75
.86
.50
-.0000164
-.0000321
-.0000304
-.0000304
-.0000164
-.0000164
-.0000164
3095.55
2970.55
2782.44
2782.44
3095.55
3095.55
3095.55
1.11
1.11
1.11
1.11
1.11
1.11
1.24
1.30
1.41
1.37
1.38
1.37
1.33
1.43
.72
.76
.74
.75
.73
.76
.67
.83
.89
.91
.89
.89
.89
.87
.46
.45
.42
.45
.45
.47
.38
-.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
.68
.69
.77
.83
.91
.90
.92
.46
.36
.38
.46
-.0000164
-.0000164
3095.55
3095.55
1.11
1.11
1.30
1.30
.72
.68
.83
.85
.46
.44
-.0000087
1833.31
.82
1.11
.87
.78
.68
-.0000164
3095.55
1.24
1.23
.65
.85
.38
Educational attainment
Marital status, men
Marital status, women
Women who maintain families
Nonagricultural industries:
Total
Wage and salary workers..
Self-employed workers
Unpaid family workers.
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
211
Establishment Data
("B" tables)
DATA COLLECTION
Chart 1 shows the percentage of the establishments using
different data collection methods.
BLS cooperates with State Workforce Agencies in the
Current Employment Statistics (CES), or establishment,
survey to collect data each month on employment, hours,
and earnings from a sample of nonfarm establishments
(including government). The sample includes about 160,000
businesses and government agencies covering approximately
400,000 individual worksites. The sample is drawn from a
samplingframeof 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.gov/ces/home.htm.
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 data collection centers (DCCs). The DCCs perform
initial enrollment of eachfirmvia 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 data
entry (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 (34
percent of respondents), while CATI and TDE are each
used by about one-quarter of the respondents. Under
EDI, thefirmprovides 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 5,200 firms
provide data through the World Wide Web.
212
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
The data exclude proprietors, the unincorporated selfemployed, 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, trucking, 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 full- 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); and the value of free rent, fuel,
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 directlyfromthe 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 iaverage weekly hours
and production worker or nonsupervisory worker
Nonsupervisory employees. These are employees (not above employment. At all higher levels of industry aggrethe working-supervisor level) such as office and clerical
gation, hours aggregates are the sum of the component
workers, repairers, salespersons, operators, drivers,
aggregates.
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 other employees at similar occupational levels whose
and aggregate weekly hours. At all higher levels of industry
services are closely associated with those of the employees
aggregation, payroll aggregates are the sum of the component
listed.
aggregates.
213
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 directionfrommonth 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.
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.
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
(CPI-W). 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
Average hourly earnings. Average hourly earnings are on a are calculated from 278 seasonally adjusted employment
"gross" basis. They reflect not only changes in basic hourly series (4-digit NAICS industries) covering all nonfarm
payroll employment in the private sector. The manufacturand incentive wage rates, but also such variable factors as
ing diffusion indexes are based on 84 4-digit NAICS
premium pay for overtime and late-shift work and changes
industries.
in output of workers paid on an incentive plan. They also
To derive the indexes, each component industry is
reflect shifts in the number of employees between relatively
assigned
a value of 0, 50, or 100 percent, depending on
high-paid and low-paid work and changes in workers'
whether its employment showed a decrease, no change, or
earnings in individual establishments. Averages for groups
an increase, respectively, over the timespan. The average
and divisions further reflect changes in average hourly
value (mean) is then calculated, and this percent is the
earnings for individual industries.
diffusion index number.
Averages of hourly earnings differ from wage rates.
The reference point for diffusion analysis is 50 percent,
Earnings are the actual return to the worker for a stated
the
value indicating that the same number of component
period; rates are the amount stipulated for a given unit of
industries
had increased as had decreased. Index numbers
work or time. The earnings series do not measure the level
above
50
show that more industries had increasing
of total labor costs on the part of the employer because the
employment
and values below 50 indicate that more had
following are excluded: Benefits, irregular bonuses,
decreasing
employment.
The margin between the percent
retroactive items, payroll taxes paid by employers, and
that
increased
and
the
percent
that decreased is equal to
earnings for those employees not covered under production
the
difference
between
the
index
and its complement—
worker, construction worker, or nonsupervisory employee
that
is,
100
minus
the
index.
For
example, an index of
definitions.
65 percent means that 30 percent more industries had
increasing employment than had decreasing employment
Average hourly earnings, excluding overtime. Average
(65-(100-65) = 30). However, for dispersion analysis, the
hourly earnings, excluding overtime-premium pay, are
distance of the index number from the 50-percent reference
computed by dividing the total production worker payroll
point is the most significant observation.
for the industry group by the sum of total production worker
hours and one-half of total overtime hours. No adjustments
Although diffusion indexes commonly are interpreted as
are made for other premium payment provisions, such as
showing the percent of components that increased over the
holiday pay, late-shift premiums, and overtime rates other
timespan, the index reflects half of the unchanged
than time and one-half.
components as well. (This is the effect of assigning a value
of 50 percent to the unchanged components when computing
Average weekly earnings. These estimates are derived by the index.)
multiplying average weekly hours estimates by average
ESTIMATING METHODS
hourly earnings estimates. Therefore, weekly earnings are
affected not only by changes in average hourly earnings
The Current Employment Statistics (CES) or establishment
but also by changes in the length of the workweek. Monthly
survey estimates of employment are generated through an
variations in such factors as the proportion of part-time
annual benchmark and monthly sample link procedure. Annual
workers, stoppages for varying reasons, labor turnover
universe counts or benchmark levels are generated primarily
during the survey period, and absenteeism for which
from administrative records on employees covered by
unemployment insurance (UI) tax laws. These annual
employees are not paid may cause the average workweek to
benchmarks, established for March of each year, are projected
fluctuate.
214
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.
Changing data ratiosfor 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 are 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 2005 values were set based on the 2004 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.
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 ofUI 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 employees covered by UI. All employers covered by UI
laws are 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 sample-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.
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
2-A. 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 683 estimation
cells for purposes of confuting 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:
AEC =
215
A
AE x
Yi(wt*aeeJ)
P 4q
1 + (net birth I death estimate),
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 nonsupervlsory workers,
women employees
All-employee 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.
Sum of monthly aggregate
Product of average weekly hours
| payrolls divided by the sum of
and average hourly earnings.
monthly production workers.
Employment,
hours.and
earnings
where:
i
for the previous month when applying the numerical
factors.
= matched sample unit;
Wt
Current-month estimate of production or nonsupervisory
workers (PW) is defined as:
= weight associated with the CES report;
ae
c,i
=
current-month reported all employees;
ae
p,i
=
previous-month reported all employees;
((
PWC =
A
A]?
= current-month estimated all employees; and
A C
AE
^c-Z«S
\
xPWRATIO^
Z^c,A
W
- 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
\
(PW)
[ 5># x PW?A " VLWJ x P"PJ
l=(a*PWRATIO
PWRATIO
+
py
c = \a x PWRATIO„
P*-.
Y,wixPwcty Z w ; x i></
for all inlandJ&J
216
[EW'X/W*»J- [iX*/™*/]
Current-month estimate of women employees (WE) is identical to that described for production workers, with the
appropriate substitution of women employee values for the production worker values in the previous formulas.
Current-month estimate of average weekly hours (AWH) is defined as:
Yswi*wKA-\lLwJxwKj
<(WH)
PWp-ZP^j
TwixPwP4 H i ^ x ^ ? r
-2X/
J)
AWHc=axAWHP+]3x
PWn
(f
PK-ItP^
I ^ x / w ^ J-
W
l
[(?" xwh.,
'(WH)
(l^x^j-^^xp^jj
J^wjxpw*^
/ VJ
T.wJxwh'pj
I
PW^
™,-1LP»7F
J
PWn
J
))
V
for all i^Iandj^J
Current-month estimate of average hourly earnings (AHE) is defined as:
\^^xp^y\TwfxPrPj
WH,-Ywh%%PR) 'UPKJ
AHEc=axAHEP+J3x
I w /
K\ /
x
^
\-\T,wfxwh*pjR)
J W
WH„
(r
fSw/x^r^r(SwyxK/J
x
(l^ ^]-[l^,xw^
wnc-Y^h7;
'(PR)
+
E^x^/J-|Zwyx^J
2><y
J
Ywixwhp;
^LwJxwhpjR)
™,-I.»WW
+
IXy
y
J
WHn
WH^
JJ
\s
for all i^Iandj^J
r
J \J
w
217
a matched CES report;
the set of all matched CES reports;
KB*
= previous-month estimated weekly hours;
AWHC,
= current-month estimated average weekly
hours;
= previous-month estimated average
weekly hours;
a matched CES report where the current
month is atypical;
the set of all matched CES reports where
the current month is atypical (NOTE: J
is a subset of I);
Pra
= current-month reported weekly payroll;
PTP,i
= previous-month reported weekly payroll;
pr*o
= current-month reported weekly payroll,
atypical record;
weight associated with the CES report;
current-month reported production
workers;
pr
previous-month reported production
workers;
current-month reported production
workers, atypical record;
previous-month reported production
workers, atypical record;
*
PJ
= previous-month reported weekly payroll,
atypical record;
AHEeJ
= current-month estimated average hourly
earnings; and
AHEpJ
= previous-month estimated average
hourly earnings.
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.
current-month reported production
workers, atypical weekly hours (WH)
record;
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 nonrespondents. 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;
previous-month reported weekly hours;
current-month reported weekly hours,
atypical record;
previous-month reported weekly hours,
atypical record;
current-month reported weekly hours,
atypical payroll (PR) record;
previous-month reported weekly hours,
atypical payroll (PR) record;
current-month estimated weekly hours;
218
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 - Sample-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. Five
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 2005 to October 2005 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
estimates. Residential and nonresidential specialty trade
contractors estimates are produced as breakouts in specialty
trade contractors (NAICS 238) under the standard NAICS
coding structure. Benchmarks for these series are developed
from the QCEW data and independent estimates for these
series are made on a monthly basis and raked to the estimates
produced under the standard structure to ensure that the sum
of the residential specialty trade contractors and
nonresidential specialty trade contractors series is consistent
with the published total for specialty trade contractors at the
3-digit NAICS level.
THE SAMPLE
Design
The CES sample is a stratified, simple random sample of
worksites, clustered by UI account number. The UI account
number is a major identifier on the BLS longitudinal database
of employer records, which serves as both the sampling frame
and the benchmark source for the CES employment
estimates. The sample strata, or subpopulations, are defined
by State, industry, and employment size, yielding a Statebased design. The sampling rates for each stratum are
determined through a method known as optimum allocation,
Table 2-B. Net birth/death estimates for private nonfarm industries, post-benchmark 2005
(In thousands)
Year and month
2005:
April
May
June
July
August
September
October
November
December
Cumulative total
Natural
Trade,
Total
Profesretranssional Educa- Leisure
monthly
tion
and
and
Manu- portation, Infor- Financial and
Other amount
sources Conhos- services conmation activities business health
and struction facturing and
mining
services services pitality
utilities
tributed
34
38
29
-11
16
11
0
-6
-5
106
1
8
8
-21
0
6
-4
1
2
11
24
22
-22
23
20
14
14
19
-3
2
5
-9
8
4
24
5
13
64
19
25
-15
23
13
35
4
10
21
14
-1
-11
19
19
20
8
5
90
75
81
32
27
-25
-42
-9
15
125
49
178
94
244
219
-5
6
6
-10
4
3
0
1
3
206
191
176
-72
125
50
57
21
63
817
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 U.S. 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 units
appear on theframe,random numbers are assigned to those
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
220
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 the specified
sample selection rate. The number ofunits 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.
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 =
NJ\
where:
Nh = the number ofnoncertaintyUI accounts within
the allocation cell that are eligible for sample
selection; and
VL^ = 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 12-percent rotation is utilized in
Table 2~C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2005
Sample coverage
Industry
Total
Natural resources and mining
Construction
..<
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
(UI) 1
Number of
establishments1
132,038
142,412
602
6,838
14,200
25,501
3,056
8,063
16,540
17,355
12,365
5,372
22,146
1,257
12,427
13,209
8
25,500
2,943
7,858
35,430
15,309
15,844
6,683
23,407
1
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.
Number
(thousands)2
Percent of
employment
benchmarks
369,162
40,838
31
2,488
14,021
19,842
3
109,982
13,111
47,216
76,278
34,601
38,542
10,792
36,978
163
664
4,268
6,780
846
1,602
3,150
5,232
2,223
331
15,580
27
10
30
27
28
20
19
30
18
6
70
2
Average employment of reported values for 2005.
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.
3
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 unitsfrommoving
back into the sample after a single year, a "swap out" procedure has been established. The "swap out" procedure
removes unitsfromthe current sample that had been rotated
out of the sample within the last 3 years and replaces
them with eligible units from the same selection cell. 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.
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 unitsfromthe
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.
Subsampling.
The primary enrollment of new
establishments takes place in BLS regional 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:
Employees
221
- the company cannot report for all worksites from a
central location;
- 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.
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 nonsampling 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.
Table 2-D. Errors of preliminary employment estimates
Industry
Total.....
Total private
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
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
47,100
0
0
39,700
0
0
27,600
9,200
0
.1
.1
.2
8,500
2,900
11,800
12,300
.1
0
0
0
.3
.2
.2
.4
5,500
21,000
21,500
0
0
0
.2
.1
.2
7,600
0
.1
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 2001 through
October 2005.
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 ofthe 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 estimates
derivedfromseparate 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 0.4 percent
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 die 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,
222
A
\ea- -e\
\
)
where:
0a = 0\Y
\ a9 Xa ^ I/is the half-sample estimator;
r =v 2 ;
k
= number of half-samples; and
Q = 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.
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.
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:
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.
S difference = J s ? + s |
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 (0.3
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, a&d £ 3 . 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 Lk estimate relative to the other Lk
variances, the smaller the weight. The resulting estimate of
current-month employment Yiat is defined as:
7,819,000 +/- (1.645*.003*7,819,000)
= 7,819,000 +/- 38,586
= 7,780,414 to 7,857,586
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 mining from the table is
$0.20. 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:
Hat
where:
Yiat
current-month t employment estimate for domain
ia defined by the intersection of industry i and
area a;
iat9l '' current-month relative over-the-month change
L
estimate based on available sample responses
for domain ia;
current-month weight assigned to Liati based
Wiat,l"
1d
on the variances of Liati, Liat^, and Liat^
(The weights W^^ and W^
arc defined
similarly.);
$0.11+/-(1.645* $0.20)
= $0.11+/-$0.33
= -$0.22 to $0.44
The true value of the over-the-month change is in the
interval -$0.22 to $0.44. 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 $0.33 (1.645 * $0.20);
therefore, one could conclude from these data that the change
is not significant at the 90-percent confidence level.
current-month relative over-the-month change
estimate based on time series forecasts using
historical universe employment counts for
domain ia. (These historical universe
employment counts are available from January
1990 to 12 months prior to the current month
t);
Uiat,3" current-month relative over-the-month change
estimate based on a synthetic estimate of the
relative change that uses all sample responses
in the State that includes area a, for industry i;
and
L
iat,2~
STATISTICS FOR STATES, AREAS, AND
DIVISIONS
(Tables B-6, B-12, B-13, B-17, and B-18)
As explained earlier, State agencies in cooperation with BLS
collect and prepare State, area, and division employment,
hours, and earnings data. These statistics are based on the
it
= tyiat,\kat,\+ Wiat,2^iat,2
^"^iat,3^iat.zYiat-
223
Yia,t-l= previous-month employment estimate for
domain ia from the small-domain model.
It is possible that for a given industry i and area a, one or
even two of the inputs Liat^ to the model are assigned
weights of 0. The reasons for assigning a weight of 0 to a
model input are due to concerns regarding the stability of
the inputs. For example, if Liat>i or Liat<$ hasfiveor fewer
responses, then it is assigned a weight of 0. If Liat2 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 noneconomic
224
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.
Table 2-E. Relative standard errors for first-closing estimates of employment, hours, and earnings in selected industries 1
(Percent)
Relative standard error
industry
All employees
Average weekly hours
Average hourly earnings
0.2
(2)
(2)
Total private
.2
0.1
0.2
Goods-producing
.2
.2
Natural resources and mining
Logging
Mining
Oil and gas extraction
Mining, except oil and gas
Coalmining
Support activities for mining
1.4
3.6
1.5
2.4
1.5
2.8
3.0
1.2
3.2
1.3
3.1
1.1
1.9
2.4
1.2
2.3
1.3
4.7
1.1
1.4
2.6
Construction
Construction of buildings
Residential building
Nonresidential building
Heavy and civil engineering construction
Specialty trade contractors
Residential specialty trade contractors
Nonresidential specialty trade contractors....
.6
1.2
1.8
1.7
1.4
.8
1.0
1.2
.3
.7
.9
1.0
.8
.4
.4
.7
1.1
1.0
.9
.5
.4
1.4
.3
.9
1.6
.8
1.3
.8
.5
.7
1.0
4.5
2.2
1.5
1.0
.8
.6
.6
.4
1.1
1.3
1.0
.6
1.0
1.4
4.4
4.1
1.9
1.5
1.2
1.6
1.6
1.0
1.3
Total nonfarm
Manufacturing
(2)
(2)
(2)
(2)
.2
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
.9
.6
.7
1.2
2.1
.9
1.2
1.1
1.1
.9
Nondurable goods
Food manufacturing
Beverages and tobacco products
Textile mills
Textile product mills
Apparel
Leather and allied products
Paper and paper products
Printing and related support activities
Petroleum and coal products
Chemicals
Plastics and rubber products
Service-providing
Private service-providing
1.2
.9
.9
1.1
.3
.8
1.7
1.5
2.6
2.2
3.5
.9
1.0
2.1
.6
1.0
.4
.8
2.1
1.0
3.0
1.8
2.2
.9
.3
.8
4.0
1.2
1.3
1.9
2.7
1.0
1.3
2.7
1.1
.7
.2
(2)
(2)
.2
.2
.2
.4
.4
.7
1.5
.5
.5
.9
1.5
.8
1.1
1.1
2.9
1.1
.8
2.0
.8
Trade, transportation, and utilities
Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and brokers
See footnotes at end of table.
225
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
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
v
Clothing and clothing accessories stores
Sporting goods, hobby, book, and music stores....
General merchandise stores
Department stores
Miscellaneous store retailers
Nonstore retailers
Average weekly hours
Average hourly earnings
0.3
.5
.5
1.3
2.2
.7
.6
.9
1.0
1.5
2.3
1.1
1.4
1.0
2.1
0.3
1.0
1.3
1.4
2.3
1.4
.8
1.3
1.4
2.4
1.9
.5
.8
1.2
1.4
0.5
1.4
1.7
2.4
3.9
1.3
.8
1.8
1.1
2.4
1.3
.9
1.0
1.6
2.7
.6
1.2
1.2
7.7
1.0
2.2
1.5
10.4
1.5
1.4
2.1
.8
3.0
(3)
5.1
.9
2.1
3.1
8.4
1.7
5.9
1.2
.7
3.4
(3)
6.4
.9
1.4
3.1
7.0
1.6
4.2
1.7
.7
1.1
1.2
1.0
.9
5.5
1.4
6.2
1.2
1.9
2.5
.6
.8
3.4
1.5
3.5
1.1
1.1
5.6
1.2
1.7
4.1
2.3
10.1
2.3
3.2
6.1
Financial activities
Finance and insurance
Monetary authorities - central bank
Credit intermediation and related activities
Depository credit intermediation
Commercial banking
Securities, commodity contracts, investments
insurance carriers and related activities
Funds, trusts, and other financial vehicles
Real estate and rental and leasing
Real estate
Rental and leasing services
Lessors of nonfinancial intangible assets
.3
.4
5.0
.7
.6
.7
1.2
.6
3.4
.7
.8
1.7
6.3
.5
.4
1.0
.8
1.4
2.0
1.1
.4
2.9
1.1
1.3
1.7
3.3
.7
.8
1.2
1.3
1.1
1.5
3.4
.8
4.0
1.0
1.1
2.4
7.2
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
.4
.5
.7
1.8
.9
1.2
3.8
.6
.4
.3
.6
1.2
.6
.9
1.3
1.2
.5
.6
1.6
1.9
1.1
1.6
2.2
2.1
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
,
See footnotes at end of table.
226
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
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 weekly hours
Average hourly earnings
0.7
.8
1.2
1.3
1.6
1.0
2.0
0.6
.7
1.2
1.6
1.5
.9
1.8
0.8
.8
1.4
1.6
2.2
.9
2.0
.2
.9
.2
.2
.4
.5
1.0
1.0
.2
.4
.6
.6
1.3
.2
.8
.3
.3
.5
.5
1.3
1.8
.5
.4
.4
.7
1.1
.6
1.1
.6
.6
1.3
2.4
2.5
2.4
.7
.5
.6
.8
1.3
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
.4
1.8
3.6
2.1
2.4
.4
1.0
.4
.4
1.5
3.3
2.6
1.8
.4
.8
.4
.5
1.9
4.4
2.4
2.0
.4
1.1
.5
Other services
Repair and maintenance
Personal and laundry services
Membership associations and organizations
2.0
.9
.8
3.5
1.5
.7
1.7
2.6
1.5
1.0
1.1
2.7
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.
227
2
3
Hours and earnings estimates are not published.
Estimates are not available as a result of confidentiality standards.
Table 2-F. Standard errors for change in levels of first-closing estimates of employment, hours, and earnings in selected industries1
Standard error
3-month change
Standard error
1-month change
Industry
Standard error
12-month change
All
All
All
Average Average
Average Average
Average Average
emweekly
hourly
emweekly
hourly
emweekly
hourly
ployees hours earnings ployees
hours earnings ployees hours earnings
60,447
(2)
(2)
83,122
(2)
(2)
156,035
(2)
(2)
Total private
58,556
0.03
0.01
80,158
0.04
0.02
150,552
0.05
0.03
Goods-producing
17,808
.05
.02
26,906
.07
.03
50,434
.08
.04
2,302
1,099
2,152
647
992
487
1,863
.42
.90
.44
.87
.34
.66
.83
.09
.25
.09
.22
.10
.20
.18
3,954
1,514
3,646
1,152
1,554
640
3,104
.49
1.39
.53
1.21
.40
.72
1.01
.13
.35
.14
.42
.12
.21
.25
7,016
2,299
6,804
2,503
2,427
1,436
5,395
.57
1.53
.62
1.47
.59
1.04
1.29
.23
.43
.26
.95
.26
.60
.46
Construction
Construction of buildings
Residential building
Nonresidential building
Heavy and civil engineering construction
Specialty trade contractors
Residential specialty trade contractors....
Nonresidential specialty trade
contractors
13,841
6,915
4,450
5,075
5,139
11,090
7,929
.10
.22
.29
.31
.30
.12
.04
.10
.13
.11
.10
.05
.13
.22
.29
.33
.40
.15
.06
.13
.22
.17
.14
.08
(2)
(2)
(2)
41,150
19,965
13,676
11,587
12,027
32,722
21,216
.16
.33
.42
.48
.43
.20
(2)
21,878
9,670
6,057
6,979
7,916
17,117
11,889
.08
.15
.21
.21
.18
.10
9,350
(2)
(2)
13,471
(2)
(2)
27,100
(2)
(2)
Manufacturing
10,265
.07
.02
15,311
.08
.03
29,256
.10
.04
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
7,736
2,419
2,436
1,458
3,075
2,575
2,184
806
638
.09
.27
.36
.26
.15
.22
.17
.42
.53
.03
.07
.12
.08
.06
.06
.09
.29
.27
11,062
3,950
3,133
1,993
4,782
3,726
3,506
1,198
1,146
.10
.35
.43
.31
.19
.23
.35
1.27
.70
.04
.10
.16
.11
.06
.09
.16
.72
.34
24,738
6,703
6,146
3,834
10,705
6,417
7,231
2,399
2,982
.13
.40
.58
.38
.25
.34
.45
1.71
1.00
.06
.13
.22
.20
.10
.14
.25
1.08
.69
1,257
1,072
1,589
3,695
2,059
2,298
2,566
.27
.27
.28
.24
.21
.30
.26
.13
.11
.07
.08
.07
.08
.09
2,073
1,885
2,337
5,176
3,859
3,997
2,939
.34
.35
.31
.22
.22
.36
.35
.17
.17
.09
.12
.11
.09
.11
3,628
4,489
4,926
15,078
9,332
5,852
5,145
.77
.47
.38
.35
.32
.40
.46
.28
.29
.15
.27
.30
.14
.19
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
6,756
4,040
1,092
1,081
1,293
2,332
352
1,241
2,076
647
2,102
2,159
.10
.20
.68
.41
.46
.39
.57
.27
.22
.83
.24
,23
.03
.05
.25
.06
.08
.08
.09
.09
.07
.37
.12
.07
10,555
5,814
1,856
1,584
2,311
3,179
647
1,963
2,782
1,202
2,985
3,556
.12
.22
.89
.52
.76
.49
.56
.29
.27
.84
.33
.34
.04
.06
.38
.09
.12
.12
.18
.12
.11
.45
.17
.10
14,294
10,282
3,251
3,164
3,655
5,649
1,540
3,765
6,131
1,799
5,449
7,124
.16
.38
1.05
.50
1.33
.68
1.11
.51
.35
1.11
.37
.48
.06
.11
.74
.15
.18
.23
.36
.19
.21
.62
.30
.11
57,537
(2)
(2)
78,630
(2)
147,852
I 55,547
.03
.01
75,490
.02
142,053
Total nonfarm
Natural resources and mining
Logging
Mining
Oil and gas extraction
Mining, except oil and gas
Coal mining
Support activities for mining
Service-providing
Private service-providing
See footnotes at end of table.
228
(2) |
.04
(2)
(2)
(2) ! (2)
.07
.04
Table 2-F. Standard errors for change in levels of first-closing estimates of employment, hours, and earnings in selected
industries1—Continued
Standard error
3-month change
Standard error
1-month change
Industry
Trade, transportation, and utilities
Standard error
12-month change
All
Average Average
All
Average Average
emweekly hourly
emweekly hourly
ployees hours earnings ployees hours earningsj
All
em-
weekly
hours
19,906
0.05
0.02
27,760
0.07
0.03
52,005
0.10
Wholesale trade
Durable goods
Nondurable goods
Electronic markets and agents and brokers
8,203
5,494
5,526
3,617
.13
.14
.20
.06
.07
.09
.22
12,892
7,619
7,809
6,438
.15
.18
.24
.44
.08
.11
.13
.38
20,248
12,700
14,427
9,203
.22
.23
.38
.64
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
14,794
3,906
3,090
2,689
2,705
4,382
5,383
3,365
3,272
8,354
.05
.18
.24
.23
.36
.25
.09
.22
.21
.27
.03
.14
.20
.18
.23
.07
.03
.07
.04
.07
21,885
5,736
4,240
4,064
3,710
6,469
7,621
4,515
4,599
10,492
.07
.25
.36
.33
.42
.34
.14
.28
.30
.35
.04
.20
.29
.25
.35
.09
.04
.13
.06
.11
40,825
9,707
6,215
6,999
10,521
9,557
14,976
8,038
8,501
19,540
.11
.34
.48
.61
.68
.51
.32
.43
.47
.53
3,824
3,220
2,334
3,728
2,387
.23
.07
.10
.18
.24
.06
.02
.02
.09
.10
6,404
4,852
4,054
5,255
3,745
.31
.09
.13
.25
.38
.09
.03
.02
.13
.18
13,454
19,660
17,061
8,842
8,240
.43
.17
.30
.41
.58
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
9,909
2,109
435
1,149
4,536
.15
.41
12,455
3,202
2,358
1,685
6,489
.17
.64
(3)
1.43
.34
.08
.38
(3)
.67
.11
23,656
5,667
2,723
3,978
11,579
.35
1.10
1.09
.27
.05
.22
(3)
.47
.07
2.31
.48
5,091
285
1,336
3,439
2,036
2,809
.59
.67
1.43
.28
.54
.25
.11
.22
.39
.11
.20
.07
5,848
408
1,917
4,531
2,959
3,644
.76
.63
2.13
.35
.90
.35
.15
.34
.53
.16
.36
.12
8,277
569
2,719
7,264
7,955
9,459
.67
1.69
2.75
.58
1.84
.56
Utilities
1,268
.19
.10
1,655
.28
.14
3,316
.39
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
8,248
3,165
.15
.16
.10
.18
13,358
4,996
.18
.24
.16
.37
29,633
7,678
.25
.33
6,547
1,523
444
2,724
.44
.26
.92
.35
.32
.19
1.00
.20
11,466
1,965
944
4,949
.53
.33
1.28
.35
.48
.31
1.49
.29
22,675
4,146
1,900
9,760
1.03
.53
1.54
.51
2,365
500
.29
.55
.20
.25
3,909
687
.49
.74
.32
.46
6,005
950
.50
1.33
Financial activities
Finance and insurance
Monetary authorities - central bank
Credit intermediation and related
activities
Depository credit intermediation
Commercial banking
Securities, commodity contracts,
investments
9,768
6,511
45
.08
.10
.04
.06
.07
.03
14,686
9,723
96
.10
.11
.36
.08
.10
.16
24,922
18,842
608
.17
.17
.55
4,333
2,167
1,861
.15
.21
.26
.10
.06
.07
7,144
3,280
2,967
.18
.21
.27
.16
.09
.11
15,927
8,306
7,754
.27
.43
.60
2,807
.29
.32
3,681
.33
.49
8,102
.44
P)
See footnotes at end of table.
229
W
Table 2-F. 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
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
em-
Standard error
3-month change
Standard error
12-month change
All
All
Average
Average
Average Average
ememhourly
weekly
weekly
weekly
hourly
hours earnings ployees
hours earnings ployees hours
3,081
0.11
0.07
4,917
0.15
0.10
11,053
0.20
928
7,177
4,749
5,487
402
.39
.18
.21
.35
.57
.31
.07
.07
.15
.43
1,277
9,993
7,770
6,814
677
.58
.23
.28
.38
1.01
.48
.09
.09
.18
.62
2,863
15,582
11,953
10,276
1,599
1.25
.37
.45
.65
1.51
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
27,943
.04
.06
.10
.15
.10
39,091
21,486
3,159
18,666
5,251
.13
.18
.72
.21
.05
.11
.15
.30
.14
58,332
27,573
6,312
11,124
3,386
.08
.09
.14
.27
.18
9,746
.16
.16
.21
.48
.26
3,572
.18
.22
4,821
.21
.28
11,702
.42
3,768
3,419
23,203
22,865
18,932
16,766
.14
.12
.05
.05
.09
.09
.10
.05
6,210
5,195
7,142
.22
.24
.12
.13
.22
.22
.26
.19
9,989
.33
.27
.15
.15
.26
.27
.33
.24
.22
.20
.07
.07
.13
.12
.14
.07
23,688
11,183
48,597
48,259
34,930
28,776
10,839
16,434
.47
.48
.26
.27
.53
.62
.50
.33
2,547
.42
.18
3,656
.60
.23
5,985
.74
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
18,757
14,990
9,752
6,522
6,471
3,650
1,624
3,047
2,250
4,211
2,609
,6,749
5,246
.05
.07
.05
.04
.08
.11
.22
.24
.08
.08
.11
.14
.26
.02
.04
.03
.02
.04
.07
.14
.11
.06
.02
.03
.03
.05
23,485
18,001
13,898
.05
.15
.06
.06
.12
.16
.31
.29
.12
.09
.14
.16
.33
.03
.06
.03
.03
.07
.10
.19
.14
.07
.03
.05
.05
.08
41,510
27,488
28,030
22,546
16,619
10,155
.09
.31
.09
.11
.18
.22
.56
.53
.13
.14
.17
.21
.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
22,108
13,934
.02
.10
.40
32,258
21,623
6,903
.07
.24
.48
9,228
.08
.31
.65
.03
.17
.52
49,323
37,334
12,919
1.05
1,308
12,103
15,575
9,544
12,500
.44
.26
.06
.16
.06
.14
.08
.01
.04
.01
1,845
20,968
22,445
12,901
18,069
.56
.39
.07
.20
.07
.20
.15
.02
.07
.02
2,501
38,782
35,168
14,315
30,228
.74
.58
.11
.25
.10
Other services
Repair and maintenance
Personal and laundry services
Membership associations and
organizations
23,982
4,362
4,909
.19
.18
.18
.06
.07
.07
27J55
7,437
6,656
.35
.21
.23
.11
.09
.10
90,812
11,674
10,456
.59
.23
.51
22,653
.32
.10
26,762
.59
.21
88,922
.97
10,990
3,028
5,292
3,892
1
Estimates of variance are not available for government sectors
due to lack of historical probability-based estimates.
2
3
230
26,697
26,038
23,187
19,482
6,260
10,460
8,148
5,003
1,958
3,831
3,066
5,607
3,347
7,861
6,089
4,439
7,454
6,356
11,069
7,422
13,783
9,037
.12
.49
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
current relationships found within each State's economy as
reflected in the different sources of data that are available for
Labor force and unemployment estimates for States.,
each State—the Current Population Survey (CPS), the Current
labor market areas (LMAs), and other areas covered under
Employment Statistics (CES) survey, and the UI system. The
Federal assistance programs are developed by State Workforce; noise component of the models explicitly accounts for
Agencies under a Federal-State cooperative program. The
autocorrelation in the CPS sampling error and changes in the
local unemployment estimates, which derivefromstandardaverage magnitude of the error. In addition, the models can
ized procedures developed by BLS, are the basis for deteridentify and remove the effects of outliers in the historical
mining eligibility of an area for benefits under Federal proCPS series. While all the State models have important
grams such as the Workforce Investment Act.
components in common, they differ somewhat from one
Annual average data for the States and 375 areas shown in. another to better reflect individual State labor force
table C-3 are published in Employment and Earnings (usu- characteristics.
ally the May issue). For regions, States, selected metropoliSeasonal adjustment occurs within the model structure
tan areas, and central cities, annual average data classified by- through the removal of the seasonal component. The models
selected demographic, social, and economic characteristics
also produce reliability measures on the adjusted and
are published in the BLS bulletin, Geographic Profile of unadjusted series, and on over-the-month change.
Employment and Unemployment.
The Redesign bivariate models incorporate a major
Labor force estimates for counties, cities, and other small
change in the approach to benchmarking and the
areas have been prepared for administration of various Fedbenchmarking process. Rather than continue with an annual
eral economic assistance programs and are available on the
average State benchmark applied retrospectively that
Internet at http://www.bls.gov/lau or by subscription by call- reintroduces sampling error to the historical monthly
iiig202-691-6392.
estimates, the Redesign approach uses a reliable real-time
monthly national benchmark for controlling current State
model estimates of employment and unemployment. In this
ESTIMATING METHODS
process, benchmarking is part of the monthly State model
estimation process.
Monthly labor force, employment, and unemployment estimates are prepared for the 50 States, the District of
Under real-time benchmarking, a tiered approach to
Columbia, Puerto Rico, and over 7,000 areas, including nearly estimation is used. Model-based estimates are developed
2,400 LMAs, all counties, and cities with a population of25,000 for the 9 Census divisions that geographically exhaust the
or more. Regional aggregations are derived by summing the
Nation using univariate signal-plus-noise models. The
division estimates. The estimation methods are described
division models are similar to the State models, but do not
below for States (and the District of Columbia) and for sub- use unemployment insurance claims or nonfarm payroll
state areas. At the sub-LMA (county and city) level,
employment as variables. The division estimates are
estimates are prepared using disaggregation techniques
benchmarked to the national levels of employment and
based on decennial and annual population estimates and
unemployment on a monthly basis. The benchmarked division
current unemployment insurance data. A more detailed
model estimate is then used as the benchmark for the States
description of the estimation procedure is contained in
within the division. The distribution of the monthly benchmark
the BLS document, Manual for Developing Local Area
adjustment to the States is based on each State's monthly
Unemployment Statistics.
model estimate. In this manner, the monthly State enjoyment
and unemployment estimates will add to the national levels.
Estimates for States
For all States and the District of Columbia, the Los Angeles- Estimates for substate labor market areas
Long Beach-Glendale metropolitan division, New York City, As noted, monthly labor force estimates for two large
and the respective balances of State, models based on a
substate areas—New York City and the Los Angeles-Long
"signal-plus-noise" approach are used to develop
Beach-Glendale, CA metropolitan division and the respective
employment and unemployment estimates. The model of the balances of New York and California—are developed using
signal is a time series model of the true labor force which
bivariate signal-plus-noise models. Signal-plus-noise models
consists of three components: A variable coefficient
also have been developed for six additional substate areas
regression, aflexibletrend, and aflexibleseasonal component and their State balances. The areas are: the ChicagoThe regression techniques are based on historical and
Naperville-Joliet, IL metropolitan division; the Cleveland-
231
Elyria-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, WA metropolitan 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—UI
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
improvements to Handbook estimation were implemented with
January 2005 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-work
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,
nonfarm self-enployed and unpaidfamily workers, and private
household workers.
Unemployment. The estimate of unemployment is an
232
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 isfromthe
CPS at the State level. Separate estimates for new entrants
and for reentrants are derivedfromeconometric 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.
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.
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
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 UI 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
233
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
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
Household data
(men and women under and over 20 years of age) are sepaBeginning in January 2003, BLS started using the X-12rately adjusted for seasonal variation and are then added to
ARIMA (Auto-Regressive Integrated Moving Average)
derive seasonally adjusted totalfigures.The seasonally adseasonal adjustment program to seasonally adjust national
justed figure for the labor force is a sum of four seasonally
labor force datafromthe Current Population Survey (CPS),
adjusted civilian employment components and four seasonor household survey. This program replaced the X-l 1ARIMA ally adjusted unemployment components. The total for
program which had been used since January 1980. For a
unemployment is the sum of the four unemployment compodetailed description of the X-12-ARIMA program and its
nents, and the unemployment rate is derived by dividing the
features, see D.F. Findley, B.C. Monsell, W.R. Bell, M.C. Otto, resulting estimate of total unemployment by the estimate of
and B.C. Chen, "New Capabilities and Methods of the X-12- the labor force. Because of the independent seasonal adjustARIMA Seasonal Adjustment Program," Journal of Business ment of various series, components will not necessarily add
and Economic Statistics, April 1998, Vol. 16, No. 2, pp. 127- to totals.
152. See "Revision of Seasonally Adjusted Labor Force Series
Each January issue (March issue in 1996 and February
in 2003," in the February 2003 issue of this publication for a issue in 2003) of Employment and Earnings contains revised
discussion of the introduction of the use of X-12 ARJMA for
seasonally adjusted data for selected labor force series based
seasonal adjustment of the labor force data and the effects
on the experience through December and a description of the
that it had on the data.
current seasonal adjustment procedure.
Beginning in January 2004, BLS converted to the use of
National establishment data
concurrent seasonal adjustment to produce seasonally
BLS also uses the X-12-ARIMA seasonal adjustment program
adjusted labor force estimates from the household survey.
to seasonally adjust national establishment-based
Concurrent seasonal adjustment uses all available monthly
employment, hours, and earnings series derived from the
estimates, including those for the current month, in
Current Employment Statistics (CES) program. (Use of X-12
developing seasonal factors. Previously, seasonal factors
for the CPS data had been projected twice a year. As a result ARIMA to seasonally adjust the CES data began in June
1996, with the release ofthe March 1995 benchmark revisions.)
of this change in methodology, BLS no longer publishes
Individual series are seasonally adjusted using either a
seasonal factors for the labor force data. For more information
multiplicative or an additive model. For employment, seasonal
on the adoption of concurrent seasonal adjustment for the
adjustment factors are directly applied to the component
labor force data, see "Revision of Seasonally Adjusted Labor
levels. Individual 3-digitNAICS levels are seasonally adjusted,
Force Series in 2004," in the January 2004 issue of this
and higher-level aggregates are formed by the summation of
publication available on the Internet at http://www.bls.gov/
these
components. Seasonally adjusted totals for hours and
cps/cpsrs2004.pdf.
earnings
are obtained by taking weighted averages of the
Revisions of historical data, usually for the most recent 5
seasonally adjusted data for the component series.
years, are made only at the beginning of each calendar year.
However, as a result of the revisions to the estimates for 1970Revised seasonally adjusted national establishment81 based on 1980 census population counts, revisions to
based series based on the experience through January 2005
seasonally adjusted series in early 1982 were carried back to
and a detailed description of the current 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 opening 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 statisticsfrommonth to month. These adjustments make it easier
to observe the cyclical and other nonseasonal movements in
the series. Seasonally adjusted series for selected labor force
and establishment-based data are published monthly in
Employment and Earnings.
234
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 Incorporate 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,
the 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, the greatest potential for
distortion occurred when the current month being estimated
235
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 derivedfromthe 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.
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-effect
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.
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.
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-l 2ARIMA 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 ovef-the-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 informationfromsample 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 calculatedfromthese 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 1ARIMA, and
later the X-12-ARIMA 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.
236
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INDEX TO STATISTICAL TABLES
TABLE KEY: A: Monthly household data; B: Monthly national and State and area establishment data; C: Monthly regional, State, and area labor
force data; D: Quarterly, household data only, in the January, April, July, and October issues. Annual averages: Household data in the January
issue; national establishment data in the January, March, and June issues; State and area establishment and labor force data in the May issue.
For additional information see the listing on the inside front cover of this publication.
Quarterly averages
Monthly
Topic
Absences from work
Aggregate weekly hours (index)
Agricultural industries
Seasonally
adjusted
Not
seasonally
adjusted
Seasonally
adjusted
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
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, 5
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
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 nonsupervisory
workers
School enrollment
State, region, and area data
Unemployment by:
Age
A-3-4, 6, 9-10
Duration
Hispanic or Latino ethnicity..
Industry of last job
Occupation of last job
Race
A-12
A-4
Reason
Sex
A-11
A-2-4, 6, 9-10
A-4
A-13-16, 18, 28
31,33,35
A-33-36
A-14-18, 28, 32, 35
A-30, 36
A-29, 36
A-13, 15-18, 28,
32,35
A-31-35
A-13-18, 28-31,
33,35
Union affiliation
Annual
averages
238
D-20-22
D-3
D-12-13, 16
D-12-16
A-1-2; 1-2, 5-6,
12-13, 15, 1718,
26,32
19-23
12-13, 15-16
35
B-2,15-17; 52; 2
B-2,15, 17;
37-39, 52; 2
7
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
8, 12-13, 30
A-1-2; B-1-2; 1-2
B-15;19-23, 52; 2
33-34
24,31
44-45
36
D-14-15
A-1-2; 1-2, 5-6,
12-13, 15
35
8, 12-13
B-12, 15-17;
51-52
1-5
D-1-2, 7-8
D-12-13, 17
D-11
D-2
D-9
D-9
D-2
D-19
D-12-13, 17-19
D-10
D-1-2, 7-8
D-18
D-12-13, 17
D-12, 17-21
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
ALABAMA
Department of Industrial Relations, Room 427,
Industrial Relations Bldg., Montgomery 36130
ALASKA
Department of Labor, Research and Analysis
Section, P.O. Box21149, Juneau 99802-5501
ARIZONA
Department of Economic Security, 1789 West
Jefferson St., Phoenix 85007
ARKANSAS
NEVADA
Employment Security Department, Research
and Analysis Bureau, 500 East 3* St.,
Carson City 89713
NEW HAMPSHIRE
Department of Employment Security,
Economic and Labor Market Information
Bureau, 32 South Main St,
Concord 03301
Employment Security Department, Labor Market
Information, P.O. Box2981, 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,
Suite300,1515 Arapahoe Ave., Denver 80202-2117
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
DISTRICT OF COLUMBIA Department of Employment Services,
Office of Policy, Legislative and Statistical Analysis,
Room 3304,77 P Street, NE., Washington, DC 20002
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
Department of Labor and Industrial Relations,
Research and Statistics Office, Room 304,
830 Punchbowl St., Honolulu 96813
HAWAII
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
Forster Sts., Harrisburg 17121-0001
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, 17* 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.,
Des Moines 50319
RHODE ISLAND
Department of Labor andTraining, 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 Human Resources, Labor Market
Information Services, 401 SW.Topeka Ave.,
Topeka 66603
Workforce Development Cabinet, Department for
Employment Services, Research and Statistics
Branch, 275 East Main Street 2W, Frankfort 40601
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, 11* Floor,
Nashville 37245-1000
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 EutawSt, 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.,19Staniford St., Boston 02114
Department of Employment andTraining,
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, 5* 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 Amalie, St. Thomas
00801-3359 (CES)
WASHINGTON
Employment Security Department, Labor
Market and Economic Analysis Branch,
P.O. 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
IOWA
KANSAS
KENTUCKY
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. Box3150, 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
U.S. BUREAU OF LABOR STATISTICS
Postal Square Building, Rm. 2850
2 Massachusetts Ave., NE
Washington, DC 20212-0001
Official Business
Penalty for Private Use, $300
Address Service Requested
PERIODICALS
Postage and Fees Paid
U.S. Department of Labor
(USPS 485-010)
@FedFRASER