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Economic News Release
PRINT:Print
QCEW QCEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (EST), Wednesday, January 13, 2010     USDL-10-0009 
 
Technical Information:  (202) 691-6567  *  QCEWInfo@bls.gov  *  www.bls.gov/cew 
Media Contact:  (202) 691-5902  *  PressOffice@bls.gov 
 
 
                      COUNTY EMPLOYMENT AND WAGES 
                         Second Quarter 2009 
 
 
From June 2008 to June 2009, employment declined in 324 of the 334 
largest U.S. counties according to preliminary data, the U.S. Bureau 
of Labor Statistics reported today. Elkhart County, Ind., located 
about 100 miles east of Chicago, posted the largest percentage 
decline, with a loss of 21.9 percent over the year, compared with a 
national job decrease of 5.1 percent. Nearly 70 percent of the 
employment decline in Elkhart occurred in manufacturing, which lost 
18,400 jobs over the year (-32.2 percent). Yakima County, Wash., 
experienced the largest over-the-year percentage increase in 
employment among the largest counties in the U.S., with a gain of 1.5 
percent.  
 
The U.S. average weekly wage fell over the year by 0.1 percent in the 
second quarter of 2009. This is the second consecutive over-the-year 
decline in average weekly wages and one of only four declines dating 
back to 1978, when these quarterly data were first comparable. (See 
Technical Note.) Large employment and wage losses in both the 
financial activities and manufacturing supersectors contributed 
significantly to the overall decline in the U.S. average weekly wages 
this quarter. Average weekly wages fell 1.8 percent in financial 
activities and 0.3 percent in manufacturing. Among the large counties 
in the U.S., Weld County, Colo., had the largest over-the-year 
decrease in average weekly wages in the second quarter of 2009, with 
a loss of 9.0 percent. Within Weld, trade, transportation, and 
utilities had the largest over-the-year decline in average weekly 
wages with a loss of 32.0 percent. Olmsted, Minn., experienced the 
largest growth in average weekly wages with a gain of 10.8 percent. 

Table A.  Top 10 large counties ranked by June 2009 employment, June 2008-09 employment 
decrease, and June 2008-09 percent decrease in employment  

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2009 employment      |      Decrease in employment,     |  Percent decrease in employment, 
            (thousands)           |            June 2008-09          |            June 2008-09
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           129,674.8| United States            -6,941.9| United States                -5.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       3,947.3| Los Angeles, Calif.        -256.7| Elkhart, Ind.               -21.9
 Cook, Ill.                2,395.8| Maricopa, Ariz.            -149.9| Macomb, Mich.               -13.2
 New York, N.Y.            2,280.5| Cook, Ill.                 -137.7| Trumbull, Ohio              -12.2
 Harris, Texas             2,009.3| Orange, Calif.             -119.7| Wayne, Mich.                -11.6
 Maricopa, Ariz.           1,588.7| New York, N.Y.             -113.2| Collier, Fla.               -11.3
 Dallas, Texas             1,416.7| Clark, Nev.                 -98.5| Ottawa, Mich.               -11.0
 Orange, Calif.            1,380.6| Wayne, Mich.                -85.5| Clark, Nev.                 -10.7
 San Diego, Calif.         1,258.2| San Diego, Calif.           -77.5| Washoe, Nev.                -10.5
 King, Wash.               1,138.3| Dallas, Texas               -71.6| Oakland, Mich.               -9.6
 Miami-Dade, Fla.            932.3| Oakland, Mich.              -65.6| Sarasota, Fla.               -9.2
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

 
Of the 334 largest counties in the United States (as measured by 2008 
annual average employment), 157 had over-the-year percentage declines 
in employment greater than or equal to the national average (-5.1 
percent) in June 2009; 167 large counties experienced smaller 
declines than the national average, while 2 counties experienced no 
change and 3 counties experienced employment gains. The percent 
change in average weekly wages was equal to or lower than the 
national average (-0.1 percent) in 140 of the largest U.S. counties 
and was above the national average in 190 counties.  
 
The employment and average weekly wage data by county are compiled 
under the Quarterly Census of Employment and Wages (QCEW) program, 
also known as the ES-202 program. The data are derived from reports 
submitted by every employer subject to unemployment insurance (UI) 
laws. The 9.1 million employer reports cover 129.7 million full- and 
part-time workers.  
 
Large County Employment 
 
In June 2009, national employment, as measured by the QCEW program, 
was 129.7 million, down by 5.1 percent from June 2008. The 334 U.S. 
counties with 75,000 or more employees accounted for 71.2 percent of 
total U.S. employment and 76.6 percent of total wages. These 334 
counties had a net job decline of 5,117,900 over the year, accounting 
for 73.7 percent of the overall U.S. employment decrease.  
 
Employment declined in 324 counties from June 2008 to June 2009. The 
largest percentage decline in employment was in Elkhart, Ind. (-21.9 
percent). Macomb, Mich., had the next largest percentage decline (-
13.2 percent), followed by the counties of Trumbull, Ohio (-12.2 
percent), Wayne, Mich. (-11.6 percent), and Collier, Fla. (-11.3 
percent). The largest decline in employment levels occurred in Los 
Angeles, Calif. (-256,700), followed by the counties of Maricopa, 
Ariz. (-149,900), Cook, Ill. (-137,700), Orange, Calif. (-119,700), 
and New York, N.Y. (-113,200). (See table A.) Combined employment 
losses in these five counties over the year totaled 777,200 or 
11.2 percent of the employment decline for the U.S. as a whole. 
 
Employment rose in three of the large counties from June 2008 to June 
2009. None of the large counties grew by more than two percent over 
the year. Yakima, Wash., had the largest over-the-year percentage 
increase in employment (1.5 percent) among the largest counties in 
the U.S. Arlington, Va., had the next largest increase (1.4 percent), 
followed by Bronx, N.Y. (1.2 percent). The largest gains in the level 
of employment from June 2008 to June 2009 were recorded in the 
counties of Bronx, N.Y. (2,800), Arlington, Va. (2,300), and Yakima, 
Wash. (1,600).  

Table B.  Top 10 large counties ranked by second quarter 2009 average weekly wages, second quarter 2008-09 
decrease in average weekly wages, and second quarter 2008-09 percent decrease in average weekly wages 

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |     Decrease in average weekly   |    Percent decrease in average 
        second quarter 2009       |    wage, second quarter 2008-09  |        weekly wage, second
                                  |                                  |          quarter 2008-09
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $840| United States                 -$1| United States                -0.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 New York, N.Y.             $1,520| Santa Clara, Calif.          -$79| Weld, Colo.                  -9.0
 Santa Clara, Calif.         1,449| Weld, Colo.                   -68| Trumbull, Ohio               -7.6
 Arlington, Va.              1,423| Douglas, Colo.                -55| Douglas, Colo.               -6.1
 Washington, D.C.            1,421| Trumbull, Ohio                -53| Brazoria, Texas              -5.3
 Fairfax, Va.                1,348| New York, N.Y.                -49| Santa Clara, Calif.          -5.2
 Fairfield, Conn.            1,316| Brazoria, Texas               -44| Rock Island, Ill.            -4.8
 San Mateo, Calif.           1,309| Middlesex, Mass.              -43| Montgomery, Texas            -4.1
 San Francisco, Calif.       1,307| Hennepin, Minn.               -42| Oakland, Mich.               -3.9
 Suffolk, Mass.              1,299| Rock Island, Ill.             -41| Hennepin, Minn.              -3.9
 Somerset, N.J.              1,244| Somerset, N.J.                -41| Catawba, N.C.                -3.8
                                  |                                  |                                  
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

 
Large County Average Weekly Wages 
 
Average weekly wages for the nation fell 0.1 percent over the year in 
the second quarter of 2009. This is the second consecutive over-the-
year decline in average weekly wages and one of only four declines  
dating back to 1978. Among the 334 largest counties, 140 had over-
the-year decreases in average weekly wages in the second quarter. The                                     
largest wage loss occurred in Weld, Colo., with a decline of 9.0 
percent from the second quarter of 2008. Trumbull, Ohio, had the 
second largest decline (-7.6 percent), followed by the counties of 
Douglas, Colo. (-6.1 percent), Brazoria, Texas (-5.3 percent), and 
Santa Clara, Calif. (-5.2 percent). (See table B.) 
 
Of the 334 largest counties, 175 experienced growth in average weekly 
wages. Olmsted, Minn., led the nation in growth in average weekly 
wages with an increase of 10.8 percent from the second quarter of 
2008. Large wage gains occurred in the education and health services 
supersector where average weekly wages grew 19.9 percent over the 
year. Saginaw, Mich., and Kitsap, Wash., were second with a gain of 
5.1 percent each, followed by the counties of Madison, Ala. (5.0 
percent) and Newport News City, Va. (4.9 percent). 
 
The national average weekly wage in the second quarter of 2009 was 
$840. Average weekly wages were higher than the national average in 
109 of the 334 largest U.S. counties. New York, N.Y., held the top 
position among the highest-paid large counties with an average weekly 
wage of $1,520. Santa Clara, Calif., was second with an average 
weekly wage of $1,449, followed by Arlington, Va. ($1,423), 
Washington, D.C. ($1,421), and Fairfax, Va. ($1,348). There were 225 
counties with an average weekly wage below the national average in 
the second quarter of 2009. The lowest average weekly wage was 
reported in Horry, S.C. ($520), followed by the counties of Cameron, 
Texas, and Hidalgo, Texas ($544 each), Webb, Texas ($558), and 
Yakima, Wash. ($589). (See table 1.) 
 
Average weekly wages are affected not only by changes in total wages 
but also by employment changes in high- and low-paying industries. 
(See Technical Note.) The 0.1-percent over-the-year decrease in 
average weekly wages for the nation was partially due to large 
employment declines in high-paying industries such as manufacturing. 
(See table 2.)  
 
Ten Largest U.S. Counties 
 
All of the 10 largest counties (based on 2008 annual average 
employment levels) experienced over-the-year percent declines in 
employment in June 2009. Maricopa, Ariz., experienced the largest 
decline in employment among the 10 largest counties with an 8.6 
percent decrease. Within Maricopa, every private industry group 
except education and health services experienced an employment 
decline, with construction experiencing the largest decline (-31.5 
percent). (See table 2.) Orange, Calif., had the next largest decline 
in employment, -8.0 percent, followed by Los Angeles, Calif. (-6.1 
percent). Harris, Texas, experienced the smallest decline in 
employment (-3.1 percent) among the 10 largest counties. New York, 
N.Y. (-4.7 percent), and Dallas, Texas (-4.8 percent), had the second 
and third smallest employment losses, respectively.  

Seven of the 10 largest U.S. counties saw an over-the-year decrease 
in average weekly wages. New York, N.Y., experienced the largest 
decline in average weekly wages among the 10 largest counties with a 
decrease of 3.1 percent. Within New York County, financial activities 
sustained the largest total wage loss (-$1.9 billion) over the year. 
Average weekly wages for this supersector fell by 5.4 percent. New 
York’s average weekly wage loss was followed by Harris, Texas (-2.5 
percent), and San Diego, Calif. (-1.5 percent). King, Wash., had the 
only wage increase (2.0 percent). Maricopa, Ariz., and Orange, 
Calif., both held the second highest position with average weekly 
wages unchanged over the year. 
 
Largest County by State 
 
Table 3 shows June 2009 employment and the 2009 second quarter 
average weekly wage in the largest county in each state, which is 
based on 2008 annual average employment levels. The employment levels 
in the counties in table 3 in June 2009 ranged from approximately 
four million in Los Angeles County, Calif., to 43,500 in Laramie 
County, Wyo. The highest average weekly wage of these counties was in 
New York, N.Y. ($1,520), while the lowest average weekly wage was in 
Minnehaha, S.D. ($688).    

For More Information 
 
The tables included in this release contain data for the nation 
and for the 334 U.S. counties with annual average employment levels 
of 75,000 or more in 2008. June 2009 employment and 2009 second-
quarter average weekly wages for all states are provided in table 4 
of this release. 
 
For additional information about the quarterly employment and wages 
data, please read the Technical Note. Data for the second quarter of 
2009 will be available later at http://www.bls.gov/cew/. Additional 
information about the QCEW data may be obtained by calling (202) 691-
6567. 
 
Several BLS regional offices are issuing QCEW news releases targeted 
to local data users. For links to these releases, see 
http://www.bls.gov/cew/cewregional.htm. 
 
_____________           
The County Employment and Wages release for third quarter 2009 is 
scheduled to be released on Thursday, April 1, 2010. 





Technical Note 
 
 
These data are the product of a federal-state cooperative program, the Quarterly 
Census of Employment and Wages (QCEW) program, also known as the ES-202 program. 
The data are derived from summaries of employment and total pay of workers covered 
by state and federal unemployment insurance (UI) legislation and provided by State 
Workforce Agencies (SWAs). The summaries are a result of the administration of 
state unemployment insurance programs that require most employers to pay quarterly 
taxes based on the employment and wages of workers covered by UI. QCEW data in this 
release are based on the 2007 North American Industry Classification System. Data 
for 2009 are preliminary and subject to revision. 

For purposes of this release, large counties are defined as having employment le-
vels of 75,000 or greater. In addition, data for San Juan, Puerto Rico, are pro-
vided, but not used in calculating U.S. averages, rankings, or in the analysis in 
the text. Each year, these large counties are selected on the basis of the prelimi-
nary annual average of employment for the previous year. The 335 counties presented 
in this release were derived using 2008 preliminary annual averages of employment. 
For 2009 data, two counties have been added to the publication tables: Johnson, 
Iowa, and Gregg, Texas. These counties will be included in all 2009 quarterly re-
leases. Two counties, Boone, Ky., and St. Tammany, La., which were published in the 
2008 releases, will be excluded from this and future 2009 releases because their 
2008 annual average employment levels were less than 75,000. The counties in table 
2 are selected and sorted each year based on the annual average employment from the 
preceding year. 

The preliminary QCEW data presented in this release may differ from data released 
by the individual states. These potential differences result from the states' con-
tinuing receipt of UI data over time and ongoing review and editing. The individual 
states determine their data release timetables. 
 
Differences between QCEW, BED, and CES employment measures 

The Bureau publishes three different establishment-based employment measures for 
any given quarter. Each of these measures QCEW, Business Employment Dynamics (BED), 
and Current Employment Statistics (CES) makes use of the quarterly UI employment 
reports in producing data; however, each measure has a somewhat different universe 
coverage, estimation procedure, and publication product. 

Differences in coverage and estimation methods can result in somewhat different 
measures of employment change over time. It is important to understand program dif-
ferences and the intended uses of the program products. (See table.) Additional in-
formation on each program can be obtained from the program Web sites shown in the 
table. 

Summary of Major Differences between QCEW, BED, and CES Employment Measures

 ---------------------------------------------------------------------------------                                     
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  400,000 establish-
            |  submitted by 9.1   |  ministrative records|  ments
            |  million establish- |  submitted by 6.8    |
            |  ments in the first |  million private-sec-|
            |  quarter 2009       |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -7 months after the|  -8 months after the |  -Usually first Friday
            |   end of each quar- |   end of each quarter|   of following month
            |   ter               |                      |
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and annu-
            |  new quarter of UI  |  dinal database and  |  ally realigns (bench-
            |  data               |  directly summarizes |  marks) sample esti-
            |                     |  gross job gains and |  mates to first quar-
            |                     |  losses              |  ter UI levels
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |  
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal national
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|   
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------  
 
Coverage 

Employment and wage data for workers covered by state UI laws are compiled from 
quarterly contribution reports submitted to the SWAs by employers. For federal ci-
vilian workers covered by the Unemployment Compensation for Federal Employees 
(UCFE) program, employment and wage data are compiled from quarterly reports sub-
mitted by four major federal payroll processing centers on behalf of all federal 
agencies, with the exception of a few agencies which still report directly to the 
individual SWA. In addition to the quarterly contribution reports, employers who 
operate multiple establishments within a state complete a questionnaire, called the 
"Multiple Worksite Report," which provides detailed information on the location and 
industry of each of their establishments. QCEW employment and wage data are derived 
from microdata summaries of 9.1 million employer reports of employment and wages 
submitted by states to the BLS in 2008. These reports are based on place of employ-
ment rather than place of residence. 

UI and UCFE coverage is broad and has been basically comparable from state to state 
since 1978, when the 1976 amendments to the Federal Unemployment Tax Act became ef-
fective, expanding coverage to include most State and local government employees. 
In 2008, UI and UCFE programs covered workers in 134.8 million jobs. The estimated 
129.4 million workers in these jobs (after adjustment for multiple jobholders) 
represented 95.5 percent of civilian wage and salary employment. Covered workers 
received $6.142 trillion in pay, representing 93.8 percent of the wage and salary 
component of personal income and 42.5 percent of the gross domestic product. 

Major exclusions from UI coverage include self-employed workers, most agricultural 
workers on small farms, all members of the Armed Forces, elected officials in most 
states, most employees of railroads, some domestic workers, most student workers at 
schools, and employees of certain small nonprofit organizations. 

State and federal UI laws change periodically. These changes may have an impact on 
the employment and wages reported by employers covered under the UI program. Cover-
age changes may affect the over-the-year comparisons presented in this news re-
lease. 
 
Concepts and methodology 

Monthly employment is based on the number of workers who worked during or received 
pay for the pay period including the 12th of the month. With few exceptions, all 
employees of covered firms are reported, including production and sales workers, 
corporation officials, executives, supervisory personnel, and clerical workers.  
Workers on paid vacations and part-time workers also are included. 
Average weekly wage values are calculated by dividing quarterly total wages by the 
average of the three monthly employment levels (all employees, as described above) 
and dividing the result by 13, for the 13 weeks in the quarter. These calculations 
are made using unrounded employment and wage values. The average wage values that 
can be calculated using rounded data from the BLS database may differ from the av-
erages reported. Included in the quarterly wage data are non-wage cash payments 
such as bonuses, the cash value of meals and lodging when supplied, tips and other 
gratuities, and, in some states, employer contributions to certain deferred compen-
sation plans such as 401(k) plans and stock options. Over-the-year comparisons of 
average weekly wages may reflect fluctuations in average monthly employment and/or 
total quarterly wages between the current quarter and prior year levels. 

Average weekly wages are affected by the ratio of full-time to part-time workers as 
well as the number of individuals in high-paying and low-paying occupations and the 
incidence of pay periods within a quarter. For instance, the average weekly wage of 
the work force could increase significantly when there is a large decline in the 
number of employees that had been receiving below-average wages. Wages may include 
payments to workers not present in the employment counts because they did not work 
during the pay period including the 12th of the month. When comparing average week-
ly wage levels between industries, states, or quarters, these factors should be 
taken into consideration. 

Federal government pay levels are subject to periodic, sometimes large, fluctua-
tions due to a calendar effect that consists of some quarters having more pay pe-
riods than others. Most federal employees are paid on a biweekly pay schedule. As a 
result of this schedule, in some quarters, federal wages contain payments for six 
pay periods, while in other quarters their wages include payments for seven pay pe-
riods. Over-the-year comparisons of average weekly wages may reflect this calendar 
effect. Higher growth in average weekly wages may be attributed, in part, to a com-
parison of quarterly wages for the current year, which include seven pay periods, 
with year-ago wages that reflect only six pay periods. An opposite effect will oc-
cur when wages in the current period, which contain six pay periods, are compared 
with year-ago wages that include seven pay periods. The effect on over-the-year pay 
comparisons can be pronounced in federal government due to the uniform nature of 
federal payroll processing. This pattern may exist in private sector pay; however, 
because there are more pay period types (weekly, biweekly, semimonthly, monthly) it 
is less pronounced. The effect is most visible in counties with large concentra-
tions of federal employment. 

In order to ensure the highest possible quality of data, states verify with employ-
ers and update, if necessary, the industry, location, and ownership classification 
of all establishments on a 4-year cycle. Changes in establishment classification 
codes resulting from this process are introduced with the data reported for the 
first quarter of the year. Changes resulting from improved employer reporting also 
are introduced in the first quarter. 

QCEW data are not designed as a time series. QCEW data are simply the sums of indi-
vidual establishment records and reflect the number of establishments that exist in 
a county or industry at a point in time. Establishments can move in or out of a 
county or industry for a number of reasons some reflecting economic events, others 
reflecting administrative changes. For example, economic change would come from a 
firm relocating into the county; administrative change would come from a company 
correcting its county designation. 

The over-the-year changes of employment and wages presented in this release have 
been adjusted to account for most of the administrative corrections made to the un-
derlying establishment reports. This is done by modifying the prior-year levels 
used to calculate the over-the-year changes. Percent changes are calculated using 
an adjusted version of the final 2008 quarterly data as the base data. The adjusted 
prior-year levels used to calculate the over-the-year percent change in employment 
and wages are not published. These adjusted prior-year levels do not match the un-
adjusted data maintained on the BLS Web site. Over-the-year change calculations 
based on data from the Web site, or from data published in prior BLS news releases, 
may differ substantially from the over-the-year changes presented in this news re-
lease. 

The adjusted data used to calculate the over-the-year change measures presented in 
this release account for most of the administrative changes those occurring when 
employers update the industry, location, and ownership information of their estab-
lishments. The most common adjustments for administrative change are the result of 
updated information about the county location of individual establishments. In-
cluded in these adjustments are administrative changes involving the classification 
of establishments that were previously reported in the unknown or statewide county 
or unknown industry categories. Beginning with the first quarter of 2008, adjusted 
data account for administrative changes caused by multi-unit employers who start 
reporting for each individual establishment rather than as a single entity. 

The adjusted data used to calculate the over-the-year change measures presented in 
any County Employment and Wages news release are valid for comparisons between the 
starting and ending points (a 12-month period) used in that particular release. 
Comparisons may not be valid for any time period other than the one featured in a 
release even if the changes were calculated using adjusted data.
 
County definitions are assigned according to Federal Information Processing Stan-
dards Publications (FIPS PUBS) as issued by the National Institute of Standards and 
Technology, after approval by the Secretary of Commerce pursuant to Section 5131 of 
the Information Technology Management Reform Act of 1996 and the Computer Security 
Act of 1987, Public Law 104-106. Areas shown as counties include those designated 
as independent cities in some jurisdictions and, in Alaska, those designated as 
census areas where counties have not been created. County data also are presented 
for the New England states for comparative purposes even though townships are the 
more common designation used in New England (and New Jersey). The regions referred 
to in this release are defined as census regions. 
 
Additional statistics and other information 

An annual bulletin, Employment and Wages, features comprehensive information by de-
tailed industry on establishments, employment, and wages for the nation and all 
states. The 2007 edition of this bulletin contains selected data produced by Busi-
ness Employment Dynamics (BED) on job gains and losses, as well as selected data 
from the first quarter 2008 version of this news release. Tables and additional 
content from the 2007 Employment and Wages Annual Bulletin are now available online 
at http://www.bls.gov/cew/cewbultn07.htm. These tables present final 2007 annual 
averages.  The tables are included on the CD which accompanies the hardcopy version 
of the Annual Bulletin.  Employment and Wages Annual Averages, 2007 is available 
for sale as a chartbook from the United States Government Printing Office, Superin-
tendent of Documents, P.O. Box 371954, Pittsburgh, PA 15250, telephone (866) 512-
1800, outside Washington, D.C. Within Washington, D.C., the telephone number is 
(202) 512-1800. The fax number is (202) 512-2104. 

News releases on quarterly measures of gross job flows also are available upon re-
quest from the Division of Administrative Statistics and Labor Turnover (Business 
Employment Dynamics), telephone (202) 691-6467; (http://www.bls.gov/bdm/); (e-mail: 
BDMInfo@bls.gov). 

Information in this release will be made available to sensory impaired individuals 
upon request. Voice phone: (202) 691-5200; TDD message referral phone number: 1-
800-877-8339.










Table 1. Covered(1) establishments, employment, and wages in the 335 largest counties,
second quarter 2009(2)
                                                                                                       
                                                                                                       
                                                     Employment               Average weekly wage(4)   
                                                                                                       
                          Establishments,                                                              
        County(3)          second quarter               Percent   Ranking            Percent   Ranking 
                                2009          June      change,      by    Average   change,      by   
                            (thousands)       2009       June     percent   weekly   second    percent 
                                          (thousands) 2008-09(5)   change    wage    quarter    change 
                                                                                   2008-09(5)          
                                                                                                       
                                                                                                       
United States(6).........       9,055.3     129,674.8      -5.1         -     $840      -0.1         - 
                                                                                                       
Jefferson, AL............          18.3         337.9      -7.0       269      845       0.6       132 
Madison, AL..............           8.8         179.7      -2.1        24      938       5.0         4 
Mobile, AL...............           9.8         165.7      -6.5       257      737       4.4         6 
Montgomery, AL...........           6.4         131.4      -5.6       208      736       0.1       169 
Shelby, AL...............           4.9          71.4      -6.9       264      795       2.7        22 
Tuscaloosa, AL...........           4.3          80.4      -7.1       272      719      -0.6       229 
Anchorage Borough, AK....           8.1         148.4      -1.8        22      948       3.6        11 
Maricopa, AZ.............          98.2       1,588.7      -8.6       309      846       0.0       176 
Pima, AZ.................          20.2         341.4      -6.7       260      752       0.5       145 
Benton, AR...............           5.5          91.0      -5.3       186      806       2.4        29 
                                                                                                       
Pulaski, AR..............          15.0         243.6      -3.8       104      781       2.5        27 
Washington, AR...........           5.6          89.6      -4.0       111      710       1.7        55 
Alameda, CA..............          52.9         640.5      -7.2       278    1,092      -0.3       206 
Butte, CA................           7.8          71.8      -5.8       219      666       3.9         8 
Contra Costa, CA.........          29.5         325.0      -5.9       223    1,072       1.6        64 
Fresno, CA...............          30.0         344.1      -6.9       264      689       0.6       132 
Kern, CA.................          17.7         272.7      -4.9       160      764       1.9        42 
Los Angeles, CA..........         419.7       3,947.3      -6.1       239      940      -0.6       229 
Marin, CA................          11.6         103.3      -6.7       260    1,042      -2.3       298 
Monterey, CA.............          12.6         181.7      -3.0        59      748      -0.5       226 
                                                                                                       
Orange, CA...............         100.1       1,380.6      -8.0       300      953       0.0       176 
Placer, CA...............          10.7         127.0      -8.8       313      821       0.0       176 
Riverside, CA............          47.0         570.5      -8.8       313      721       0.4       152 
Sacramento, CA...........          53.3         604.9      -5.0       168      948       0.3       164 
San Bernardino, CA.......          49.0         610.6      -7.6       294      744       0.5       145 
San Diego, CA............          96.6       1,258.2      -5.8       219      912      -1.5       274 
San Francisco, CA........          51.3         545.0      -5.5       200    1,307      -2.1       294 
San Joaquin, CA..........          17.5         220.0      -5.7       215      740       0.5       145 
San Luis Obispo, CA......           9.6         100.8      -5.9       223      726       1.4        76 
San Mateo, CA............          23.7         323.3      -6.3       247    1,309       1.6        64 
                                                                                                       
Santa Barbara, CA........          14.2         184.5      -5.5       200      811       1.4        76 
Santa Clara, CA..........          60.0         853.5      -7.1       272    1,449      -5.2       326 
Santa Cruz, CA...........           8.9         100.5      -3.6        89      754      -0.1       191 
Solano, CA...............           9.9         123.3      -4.4       132      859       0.9       111 
Sonoma, CA...............          18.4         179.3      -8.0       300      813      -1.6       279 
Stanislaus, CA...........          14.7         168.2      -6.5       257      732       1.9        42 
Tulare, CA...............           9.4         152.1      -7.3       283      599       1.7        55 
Ventura, CA..............          23.4         305.3      -5.5       200      885       1.3        86 
Yolo, CA.................           5.9          99.8      -3.6        89      824       1.6        64 
Adams, CO................           9.1         153.4      -5.2       178      763      -0.7       237 
                                                                                                       
Arapahoe, CO.............          19.3         275.7      -4.1       115      965       0.4       152 
Boulder, CO..............          12.9         153.3      -5.5       200      970       0.8       119 
Denver, CO...............          25.5         424.1      -6.0       233    1,011      -1.0       256 
Douglas, CO..............           9.5          92.2      -4.7       147      850      -6.1       328 
El Paso, CO..............          17.2         236.9      -4.9       160      787       1.9        42 
Jefferson, CO............          18.3         206.3      -4.7       147      858      -2.3       298 
Larimer, CO..............          10.2         128.9      -4.1       115      723      -0.6       229 
Weld, CO.................           6.0          79.5      -6.3       247      686      -9.0       330 
Fairfield, CT............          33.0         404.6      -5.3       186    1,316      -0.8       244 
Hartford, CT.............          25.5         491.8      -4.6       140    1,014       0.1       169 
                                                                                                       
New Haven, CT............          22.6         352.8      -4.7       147      906       0.9       111 
New London, CT...........           7.0         128.4      -4.1       115      880      -0.2       198 
New Castle, DE...........          18.1         268.1      -5.7       215      959      -0.3       206 
Washington, DC...........          33.7         690.9      -0.1         6    1,421      -0.9       250 
Alachua, FL..............           6.6         115.2      -4.7       147      713       2.7        22 
Brevard, FL..............          14.7         190.3      -6.3       247      820       1.9        42 
Broward, FL..............          62.9         684.6      -7.6       294      805       0.8       119 
Collier, FL..............          11.9         104.5     -11.3       325      767      -2.3       298 
Duval, FL................          26.7         434.4      -6.0       233      815       1.0       101 
Escambia, FL.............           8.0         117.3      -6.2       242      688       2.1        37 
                                                                                                       
Hillsborough, FL.........          37.1         562.9      -7.8       298      821       1.9        42 
Lake, FL.................           7.3          76.7      -6.9       264      607      -1.6       279 
Lee, FL..................          18.9         187.8      -8.8       313      720      -1.1       261 
Leon, FL.................           8.1         137.1      -3.5        85      722       1.0       101 
Manatee, FL..............           9.2         106.5      -6.0       233      665      -1.6       279 
Marion, FL...............           8.1          91.5      -8.7       312      626       0.5       145 
Miami-Dade, FL...........          83.9         932.3      -5.9       223      833      -0.6       229 
Okaloosa, FL.............           6.0          77.1      -2.5        37      722       3.0        17 
Orange, FL...............          35.2         638.2      -7.4       287      766       0.1       169 
Palm Beach, FL...........          49.3         491.0      -7.8       298      837      -0.1       191 
                                                                                                       
Pasco, FL................           9.8          89.1      -6.3       247      624      -3.7       320 
Pinellas, FL.............          31.0         390.8      -7.5       292      742       1.0       101 
Polk, FL.................          12.6         185.9      -6.5       257      663       0.0       176 
Sarasota, FL.............          14.8         130.7      -9.2       320      727      -0.1       191 
Seminole, FL.............          14.2         158.6      -8.8       313      732      -1.7       284 
Volusia, FL..............          13.7         147.1      -7.4       287      635      -0.2       198 
Bibb, GA.................           4.7          80.1      -7.1       272      668       3.7        10 
Chatham, GA..............           7.7         129.6      -5.5       200      725       0.7       126 
Clayton, GA..............           4.4         108.3      -4.5       139      765       0.0       176 
Cobb, GA.................          20.6         298.7      -7.1       272      881       0.9       111 
                                                                                                       
De Kalb, GA..............          17.7         279.6      -6.1       239      889       0.8       119 
Fulton, GA...............          39.2         696.1      -6.4       255    1,087       0.6       132 
Gwinnett, GA.............          23.8         297.5      -7.4       287      819      -2.4       303 
Muscogee, GA.............           4.8          92.0      -5.2       178      675       0.7       126 
Richmond, GA.............           4.7          98.0      -3.6        89      715       (7)         - 
Honolulu, HI.............          24.9         434.7      -3.7        96      802       1.6        64 
Ada, ID..................          14.7         195.9      -8.1       303      734      -1.6       279 
Champaign, IL............           4.2          89.0      -4.1       115      739       3.2        15 
Cook, IL.................         142.0       2,395.8      -5.4       195      986      -1.4       270 
Du Page, IL..............          36.2         556.9      -6.9       264      958      -2.4       303 
                                                                                                       
Kane, IL.................          12.9         198.0      -7.2       278      754       0.0       176 
Lake, IL.................          21.3         324.1      -6.1       239    1,042      -0.2       198 
McHenry, IL..............           8.6          98.5      -7.3       283      706      -3.4       316 
McLean, IL...............           3.7          84.8      -2.5        37      825       2.4        29 
Madison, IL..............           6.0          90.7      -6.2       242      699       0.7       126 
Peoria, IL...............           4.8          99.3      -7.1       272      784      -0.6       229 
Rock Island, IL..........           3.5          75.9      -5.9       223      822      -4.8       325 
St. Clair, IL............           5.5          94.6      -3.3        74      713       3.5        13 
Sangamon, IL.............           5.3         128.3      -2.3        28      862       2.4        29 
Will, IL.................          14.2         192.2      -5.0       168      748      -1.7       284 
                                                                                                       
Winnebago, IL............           7.0         125.8      -8.6       309      706      -0.8       244 
Allen, IN................           9.0         167.2      -8.0       300      703      -0.4       217 
Elkhart, IN..............           4.9          93.7     -21.9       329      686      -2.4       303 
Hamilton, IN.............           7.9         109.5      -6.4       255      787      -1.0       256 
Lake, IN.................          10.3         185.3      -5.6       208      721      -3.2       312 
Marion, IN...............          24.0         545.2      -5.3       186      850       0.4       152 
St. Joseph, IN...........           6.1         113.9      -8.1       303      713       0.4       152 
Tippecanoe, IN...........           3.3          71.8      -5.4       195      716      -0.7       237 
Vanderburgh, IN..........           4.8         103.5      -4.0       111      706       1.1        93 
Johnson, IA..............           3.5          74.7      -1.7        20      779       2.5        27 
                                                                                                       
Linn, IA.................           6.3         125.3      -1.6        17      796       0.6       132 
Polk, IA.................          14.8         271.9      -2.8        49      823       0.1       169 
Scott, IA................           5.3          85.4      -6.3       247      668      -0.1       191 
Johnson, KS..............          20.7         304.6      -4.9       160      871      -1.6       279 
Sedgwick, KS.............          12.3         247.4      -6.3       247      789       0.4       152 
Shawnee, KS..............           4.9          94.4      -3.0        59      735       2.7        22 
Wyandotte, KS............           3.2          79.0      -3.4        80      808      -0.4       217 
Fayette, KY..............           9.3         170.5      -4.9       160      785       1.6        64 
Jefferson, KY............          22.1         413.2      -5.1       173      823       0.4       152 
Caddo, LA................           7.4         122.1      -2.6        41      719       0.0       176 
                                                                                                       
Calcasieu, LA............           4.9          85.5      -3.5        85      722      -1.2       263 
East Baton Rouge, LA.....          14.4         256.1      -1.7        20      805       1.8        50 
Jefferson, LA............          13.8         195.6      -2.8        49      781       0.8       119 
Lafayette, LA............           8.9         131.2      -3.6        89      793      -2.1       294 
Orleans, LA..............          10.4         168.9      -1.2        12      913      -0.9       250 
Cumberland, ME...........          12.2         170.2      -4.0       111      756       0.0       176 
Anne Arundel, MD.........          14.5         229.3      -3.4        80      912       1.9        42 
Baltimore, MD............          21.6         368.3      -3.8       104      873       1.4        76 
Frederick, MD............           6.0          93.0      -3.3        74      824       1.7        55 
Harford, MD..............           5.7          82.3      -2.8        49      782       2.9        18 
                                                                                                       
Howard, MD...............           8.8         146.7      -3.3        74    1,009       2.6        26 
Montgomery, MD...........          32.8         449.4      -2.4        32    1,129       1.5        69 
Prince Georges, MD.......          15.9         308.3      -3.0        59      932       0.6       132 
Baltimore City, MD.......          13.9         328.9      -3.1        64    1,012       1.5        69 
Barnstable, MA...........           9.0          97.4      -4.1       115      727       0.6       132 
Bristol, MA..............          15.3         210.3      -5.5       200      776       0.4       152 
Essex, MA................          20.7         296.2      -3.3        74      891      -1.3       268 
Hampden, MA..............          14.5         194.8      -3.6        89      778       1.8        50 
Middlesex, MA............          47.2         801.2      -4.4       132    1,194      -3.5       318 
Norfolk, MA..............          23.3         314.7      -4.0       111      994      -1.7       284 
                                                                                                       
Plymouth, MA.............          13.5         174.4      -3.7        96      842       1.8        50 
Suffolk, MA..............          21.7         576.0      -3.8       104    1,299      -1.0       256 
Worcester, MA............          20.5         311.3      -4.4       132      858      -1.3       268 
Genesee, MI..............           7.6         126.0      -9.1       319      720      -0.7       237 
Ingham, MI...............           6.6         151.4      -6.9       264      828       1.1        93 
Kalamazoo, MI............           5.5         109.3      -6.3       247      767      -0.8       244 
Kent, MI.................          14.1         305.9      -8.5       308      767      -0.4       217 
Macomb, MI...............          17.3         268.9     -13.2       328      849      -3.6       319 
Oakland, MI..............          38.3         618.3      -9.6       321      955      -3.9       322 
Ottawa, MI...............           5.6          98.5     -11.0       324      686      -2.0       293 
                                                                                                       
Saginaw, MI..............           4.3          78.5      -7.7       296      725       5.1         2 
Washtenaw, MI............           8.0         178.5      -4.8       154      898      -0.2       198 
Wayne, MI................          31.4         654.9     -11.6       326      920      -3.1       309 
Anoka, MN................           7.5         109.4      -5.5       200      838      -0.2       198 
Dakota, MN...............          10.3         171.1      -4.2       123      852       0.6       132 
Hennepin, MN.............          42.8         811.1      -4.9       160    1,027      -3.9       322 
Olmsted, MN..............           3.4          89.4      -2.6        41      953      10.8         1 
Ramsey, MN...............          14.8         319.1      -5.2       178      931       1.3        86 
St. Louis, MN............           5.8          93.7      -5.9       223      694      -2.3       298 
Stearns, MN..............           4.4          77.9      -5.1       173      680       2.9        18 
                                                                                                       
Harrison, MS.............           4.6          83.7      -4.7       147      669       2.0        40 
Hinds, MS................           6.2         125.4      -1.6        17      746       2.1        37 
Boone, MO................           4.4          81.3      -2.7        45      678       2.3        34 
Clay, MO.................           5.0          88.5      -2.3        28      788      -0.9       250 
Greene, MO...............           8.1         148.7      -5.3       186      664       0.5       145 
Jackson, MO..............          18.5         357.1       (7)         -      862      -0.3       206 
St. Charles, MO..........           8.2         121.2      -4.4       132      704       0.0       176 
St. Louis, MO............          32.1         580.7      -5.8       219      893      -1.4       270 
St. Louis City, MO.......           8.5         220.3       (7)         -      899       (7)         - 
Yellowstone, MT..........           5.8          77.3      -1.6        17      690       0.0       176 
                                                                                                       
Douglas, NE..............          15.8         314.2      -2.8        49      783      -0.8       244 
Lancaster, NE............           8.1         154.7      -3.1        64      676       0.7       126 
Clark, NV................          49.9         820.9     -10.7       323      793      -0.4       217 
Washoe, NV...............          14.5         188.8     -10.5       322      797       1.1        93 
Hillsborough, NH.........          12.1         189.0      -5.0       168      913      -1.8       288 
Rockingham, NH...........          10.8         135.0      -4.6       140      810      -0.9       250 
Atlantic, NJ.............           7.0         141.1      -7.5       292      754       0.0       176 
Bergen, NJ...............          34.5         434.1      -4.6       140    1,032       0.1       169 
Burlington, NJ...........          11.5         200.7      -3.1        64      892      -2.2       297 
Camden, NJ...............          13.1         200.4      -5.3       186      863      -0.8       244 
                                                                                                       
Essex, NJ................          21.4         345.8      -4.4       132    1,066       0.4       152 
Gloucester, NJ...........           6.4         101.9      -4.6       140      778       0.0       176 
Hudson, NJ...............          14.1         232.0      -3.5        85    1,154       1.1        93 
Mercer, NJ...............          11.2         226.8      -3.2        69    1,103       1.0       101 
Middlesex, NJ............          22.1         384.0      -5.2       178    1,040      -0.4       217 
Monmouth, NJ.............          20.9         256.4      -4.6       140      893       0.1       169 
Morris, NJ...............          18.1         278.1      -4.1       115    1,188      -0.7       237 
Ocean, NJ................          12.4         154.4      -3.6        89      714       0.1       169 
Passaic, NJ..............          12.6         170.0      -6.2       242      899       1.2        90 
Somerset, NJ.............          10.3         170.4      -4.6       140    1,244      -3.2       312 
                                                                                                       
Union, NJ................          15.0         220.5      -6.2       242    1,054      -0.1       191 
Bernalillo, NM...........          17.6         319.0      -4.8       154      763       1.7        55 
Albany, NY...............           9.9         224.5      -2.6        41      907       2.7        22 
Bronx, NY................          16.3         232.5       1.2         3      828       0.5       145 
Broome, NY...............           4.5          94.1      -3.2        69      692       0.6       132 
Dutchess, NY.............           8.3         113.6      -3.5        85      899       1.9        42 
Erie, NY.................          23.6         452.5      -3.0        59      746      -0.3       206 
Kings, NY................          47.6         480.2      -0.5         7      733       0.5       145 
Monroe, NY...............          18.0         373.6      -3.7        96      835       1.7        55 
Nassau, NY...............          52.3         597.8      -2.6        41      977       1.0       101 
                                                                                                       
New York, NY.............         118.6       2,280.5      -4.7       147    1,520      -3.1       309 
Oneida, NY...............           5.3         110.4      -2.4        32      683       0.4       152 
Onondaga, NY.............          12.8         247.0      -3.9       108      797       1.3        86 
Orange, NY...............          10.0         130.7      -2.7        45      773       2.8        20 
Queens, NY...............          44.1         497.6      -2.8        49      826      -1.5       274 
Richmond, NY.............           8.8          93.6      -1.2        12      745      -1.5       274 
Rockland, NY.............           9.9         114.9      -3.3        74      911      -0.4       217 
Saratoga, NY.............           5.4          77.5      -2.4        32      720       0.4       152 
Suffolk, NY..............          50.4         620.0      -3.8       104      921      -0.2       198 
Westchester, NY..........          36.2         411.0      -4.4       132    1,114      -2.3       298 
                                                                                                       
Buncombe, NC.............           8.0         109.6      -5.4       195      658      -0.2       198 
Catawba, NC..............           4.6          77.6      -8.9       317      639      -3.8       321 
Cumberland, NC...........           6.3         119.7       0.0         4      693       2.1        37 
Durham, NC...............           7.1         180.7      -2.5        37    1,090      -1.9       290 
Forsyth, NC..............           9.2         176.7      -5.3       186      771       1.2        90 
Guilford, NC.............          14.7         258.8      -7.2       278      746      -0.3       206 
Mecklenburg, NC..........          33.2         534.4      -5.9       223      937      -1.1       261 
New Hanover, NC..........           7.4          97.9      -5.6       208      697       1.5        69 
Wake, NC.................          29.1         433.2      -4.2       123      833      -0.7       237 
Cass, ND.................           5.8          99.8      -1.5        16      710       1.4        76 
                                                                                                       
Butler, OH...............           7.4         136.9      -7.3       283      734      -0.7       237 
Cuyahoga, OH.............          37.1         697.5      -6.2       242      849      -2.4       303 
Franklin, OH.............          29.6         654.0      -4.3       126      818       0.2       168 
Hamilton, OH.............          23.7         496.9      -4.9       160      897       0.3       164 
Lake, OH.................           6.6          95.1      -7.4       287      703       1.0       101 
Lorain, OH...............           6.2          94.0      -7.2       278      674      -1.9       290 
Lucas, OH................          10.6         197.2      -8.4       306      732       1.7        55 
Mahoning, OH.............           6.3          97.4      -6.0       233      615       0.8       119 
Montgomery, OH...........          12.7         243.8      -7.4       287      756      -0.3       206 
Stark, OH................           9.0         151.5      -6.3       247      649      -1.2       263 
                                                                                                       
Summit, OH...............          14.8         256.9      -6.8       263      767       0.0       176 
Trumbull, OH.............           4.7          67.3     -12.2       327      645      -7.6       329 
Warren, OH...............           4.2          77.5      -2.7        45      696       0.6       132 
Oklahoma, OK.............          23.8         410.4      -3.6        89      765      -1.5       274 
Tulsa, OK................          19.6         333.8      -5.0       168      763      -0.5       226 
Clackamas, OR............          12.6         141.5      -7.2       278      778      -0.3       206 
Jackson, OR..............           6.5          77.0      -7.1       272      659       1.5        69 
Lane, OR.................          10.9         137.6      -9.0       318      675       0.9       111 
Marion, OR...............           9.3         136.8      -5.2       178      696       2.8        20 
Multnomah, OR............          28.0         424.6      -5.9       223      868       0.6       132 
                                                                                                       
Washington, OR...........          16.0         234.0      -7.0       269      941      -0.2       198 
Allegheny, PA............          35.0         678.2      -2.9        57      892      -0.6       229 
Berks, PA................           9.1         161.1      -5.5       200      784       1.7        55 
Bucks, PA................          19.8         254.3      -5.6       208      837      -0.9       250 
Butler, PA...............           4.8          79.4      -2.8        49      723      -1.9       290 
Chester, PA..............          15.2         238.3      -3.7        96    1,105      -0.3       206 
Cumberland, PA...........           6.0         121.6      -4.9       160      794       1.4        76 
Dauphin, PA..............           7.3         182.3      -2.3        28      824       0.7       126 
Delaware, PA.............          13.6         204.5      -3.7        96      885      -0.7       237 
Erie, PA.................           7.5         122.4      -5.9       223      669      -1.2       263 
                                                                                                       
Lackawanna, PA...........           5.9          98.5      -3.9       108      659       1.4        76 
Lancaster, PA............          12.5         221.4      -5.4       195      706      -1.0       256 
Lehigh, PA...............           8.7         172.3      -5.1       173      825      -2.1       294 
Luzerne, PA..............           7.8         139.9      -2.8        49      661       0.9       111 
Montgomery, PA...........          27.5         471.9      -4.8       154    1,040       1.1        93 
Northampton, PA..........           6.5          97.7      -3.2        69      741      -0.3       206 
Philadelphia, PA.........          31.4         622.8      -1.8        22      998       0.6       132 
Washington, PA...........           5.4          79.2      -3.4        80      733      -0.8       244 
Westmoreland, PA.........           9.4         133.8      -3.9       108      672      -3.2       312 
York, PA.................           9.1         169.3      -5.2       178      746       0.7       126 
                                                                                                       
Kent, RI.................           5.6          75.0      -7.0       269      743       1.0       101 
Providence, RI...........          17.7         269.2      -4.9       160      833       1.0       101 
Charleston, SC...........          11.9         204.6      -5.7       215      729       1.5        69 
Greenville, SC...........          12.4         223.5      -7.7       296      736      -0.1       191 
Horry, SC................           8.0         115.5      -8.4       306      520      -3.3       315 
Lexington, SC............           5.6          93.3      -5.4       195      629      -0.9       250 
Richland, SC.............           9.2         205.4      -5.1       173      753       2.3        34 
Spartanburg, SC..........           6.1         111.0      -8.2       305      733      -0.3       206 
Minnehaha, SD............           6.4         114.7      -2.4        32      688       1.0       101 
Davidson, TN.............          18.4         412.7      -5.3       186      843      -0.6       229 
                                                                                                       
Hamilton, TN.............           8.5         178.4      -8.6       309      726       0.6       132 
Knox, TN.................          11.0         216.3      -5.6       208      716       0.3       164 
Rutherford, TN...........           4.3          92.5      -7.3       283      748       0.4       152 
Shelby, TN...............          19.7         472.9      -5.6       208      854       0.4       152 
Williamson, TN...........           6.1          84.7      -5.9       223      898       0.0       176 
Bell, TX.................           4.6         103.0      -0.5         7      684       4.4         6 
Bexar, TX................          32.8         718.7      -2.3        28      748       1.8        50 
Brazoria, TX.............           4.7          83.7      -3.7        96      783      -5.3       327 
Brazos, TX...............           3.9          84.9       (7)         -      643       1.4        76 
Cameron, TX..............           6.4         123.0      -1.4        15      544       1.5        69 
                                                                                                       
Collin, TX...............          17.3         282.1       (7)         -      975       (7)         - 
Dallas, TX...............          67.7       1,416.7      -4.8       154    1,007      -0.3       206 
Denton, TX...............          10.7         166.3      -2.8        49      740       1.0       101 
El Paso, TX..............          13.5         264.7      -2.1        24      608       0.8       119 
Fort Bend, TX............           8.6         130.3       (7)         -      874       (7)         - 
Galveston, TX............           5.2          93.2      -4.6       140      801       0.6       132 
Gregg, TX................           4.0          72.0      -4.8       154      715      -3.4       316 
Harris, TX...............          97.9       2,009.3      -3.1        64    1,042      -2.5       307 
Hidalgo, TX..............          10.6         216.1      -1.1        10      544       1.3        86 
Jefferson, TX............           5.9         119.3      -5.3       186      830       1.1        93 
                                                                                                       
Lubbock, TX..............           6.8         123.0      -1.1        10      647       1.4        76 
McLennan, TX.............           4.9         102.0      -2.1        24      665       0.8       119 
Montgomery, TX...........           8.3         126.2       0.0         4      763      -4.1       324 
Nueces, TX...............           8.0         149.6      -4.1       115      716      -1.5       274 
Potter, TX...............           3.8          75.1      -0.6         9      724       0.3       164 
Smith, TX................           5.3          91.5      -3.7        96      717      -1.2       263 
Tarrant, TX..............          37.2         748.6      -3.4        80      837      -0.4       217 
Travis, TX...............          29.3         561.0      -3.2        69      916      -1.2       263 
Webb, TX.................           4.7          84.5      -4.8       154      558      -0.5       226 
Williamson, TX...........           7.3         121.1      -2.5        37      798      -0.6       229 
                                                                                                       
Davis, UT................           7.2         101.7      -4.1       115      700       0.9       111 
Salt Lake, UT............          37.5         560.2      -5.3       186      797       2.4        29 
Utah, UT.................          12.8         165.5      -6.0       233      686      -1.4       270 
Weber, UT................           5.7          90.1      -5.7       215      648      -1.4       270 
Chittenden, VT...........           6.0          92.5      -3.0        59      834       0.0       176 
Arlington, VA............           7.9         159.2       1.4         2    1,423       3.6        11 
Chesterfield, VA.........           7.6         116.5      -4.3       126      768       1.1        93 
Fairfax, VA..............          34.2         576.8      -2.4        32    1,348       1.8        50 
Henrico, VA..............           9.7         171.9      -5.2       178      856      -1.8       288 
Loudoun, VA..............           9.2         131.6      -2.7        45    1,020      -2.5       307 
                                                                                                       
Prince William, VA.......           7.4         103.7      -3.2        69      774       1.2        90 
Alexandria City, VA......           6.2          99.1      -1.3        14    1,170      -3.1       309 
Chesapeake City, VA......           5.8          95.1      -5.1       173      681       1.9        42 
Newport News City, VA....           4.0          96.1      -4.3       126      795       4.9         5 
Norfolk City, VA.........           5.9         139.9      -3.4        80      848       1.1        93 
Richmond City, VA........           7.3         150.7      -4.2       123      960       1.4        76 
Virginia Beach City, VA..          11.5         171.0      -4.7       147      677       2.4        29 
Clark, WA................          12.4         128.5      -4.3       126      777       0.9       111 
King, WA.................          77.1       1,138.3      -5.2       178    1,077       2.0        40 
Kitsap, WA...............           6.5          82.5      -2.9        57      817       5.1         2 
                                                                                                       
Pierce, WA...............          20.7         265.6      -4.4       132      790       1.5        69 
Snohomish, WA............          18.0         243.5      -5.8       219      901       3.1        16 
Spokane, WA..............          15.4         204.1      -4.3       126      718       3.9         8 
Thurston, WA.............           7.0          98.6      -3.1        64      797       3.4        14 
Whatcom, WA..............           6.8          79.9      -5.0       168      700       2.2        36 
Yakima, WA...............           8.2         107.3       1.5         1      589       1.4        76 
Kanawha, WV..............           6.0         107.1      -2.2        27      765       1.7        55 
Brown, WI................           6.6         145.6      -4.3       126      724      -0.1       191 
Dane, WI.................          13.7         297.1      -3.7        96      821       1.7        55 
Milwaukee, WI............          20.7         474.7      -5.6       208      848      -0.4       217 
                                                                                                       
Outagamie, WI............           5.0         102.0      -5.9       223      706      -0.4       217 
Racine, WI...............           4.1          72.2      -6.7       260      764       0.9       111 
Waukesha, WI.............          12.9         224.3      -6.0       233      824      -1.0       256 
Winnebago, WI............           3.7          88.7      -3.3        74      757      -1.7       284 
San Juan, PR.............          12.4         270.8      -4.2       (8)      582       2.8       (8) 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 334 U.S. counties comprise 71.2 percent of the total covered workers
in the U.S.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(7) Data do not meet BLS or State agency disclosure standards.
(8) This county was not included in the U.S. rankings.










Table 2. Covered(1) establishments, employment, and wages in the 10 largest counties,
second quarter 2009(2)
                                                                                                       
                                                                                                       
                                                                    Employment         Average weekly  
                                                                                           wage(3)     
                                              Establishments,                                          
                                               second quarter                                          
         County by NAICS supersector                2009                    Percent            Percent 
                                                (thousands)       June      change,  Average   change, 
                                                                  2009       June     weekly   second  
                                                              (thousands) 2008-09(4)   wage    quarter 
                                                                                             2008-09(4)
                                                                                                       
                                                                                                       
United States(5).............................       9,055.3     129,674.8      -5.1     $840      -0.1 
  Private industry...........................       8,761.5     107,832.0      -6.1      823      -0.5 
    Natural resources and mining.............         126.2       1,907.4      -4.7      846      -6.2 
    Construction.............................         844.9       6,116.2     -17.2      906       0.4 
    Manufacturing............................         353.8      11,730.7     -13.5    1,005      -0.3 
    Trade, transportation, and utilities.....       1,897.1      24,670.7      -5.9      710      -1.1 
    Information..............................         146.6       2,827.5      -6.7    1,272      -0.9 
    Financial activities.....................         844.5       7,638.6      -5.0    1,185      -1.8 
    Professional and business services.......       1,529.4      16,479.3      -8.1    1,060       1.4 
    Education and health services............         865.1      18,256.0       2.0      804       2.3 
    Leisure and hospitality..................         739.2      13,540.3      -3.3      348      -0.9 
    Other services...........................       1,218.1       4,434.5      -2.9      543       0.0 
  Government.................................         293.9      21,842.9       0.4      922       1.2 
                                                                                                       
Los Angeles, CA..............................         419.7       3,947.3      -6.1      940      -0.6 
  Private industry...........................         415.7       3,346.7      -7.0      911      -1.1 
    Natural resources and mining.............           0.5          10.6      -7.1    1,018     -22.9 
    Construction.............................          13.8         118.2     -20.1      998       0.9 
    Manufacturing............................          14.2         392.7     -11.3    1,026       1.7 
    Trade, transportation, and utilities.....          53.1         735.8      -7.9      757      -1.8 
    Information..............................           8.8         191.7     -12.2    1,636       3.4 
    Financial activities.....................          23.6         220.7      -6.9    1,374      -1.9 
    Professional and business services.......          42.7         526.1     -10.4    1,120      -0.4 
    Education and health services............          28.5         490.1       1.6      885       3.1 
    Leisure and hospitality..................          27.2         390.7      -4.8      521      -0.8 
    Other services...........................         194.9         260.4       2.6      422      -5.6 
  Government.................................           4.0         600.6      -1.1    1,101       0.5 
                                                                                                       
Cook, IL.....................................         142.0       2,395.8      -5.4      986      -1.4 
  Private industry...........................         140.6       2,082.5      -6.2      971      -1.9 
    Natural resources and mining.............           0.1           1.1      -3.4      884      -8.0 
    Construction.............................          12.3          77.3     -16.7    1,205      -2.4 
    Manufacturing............................           6.9         200.9     -12.1      978      -2.3 
    Trade, transportation, and utilities.....          27.6         438.1      -7.1      767      -2.7 
    Information..............................           2.6          52.7       (6)    1,415       (6) 
    Financial activities.....................          15.5         195.8      -6.4    1,629      -3.9 
    Professional and business services.......          29.3         396.3      -9.7    1,260       1.2 
    Education and health services............          14.3         385.6       2.8      850       0.7 
    Leisure and hospitality..................          12.1         234.2      -4.1      431      -2.0 
    Other services...........................          14.8          95.9      -3.0      728       1.1 
  Government.................................           1.4         313.3       0.0    1,084       1.6 
                                                                                                       
New York, NY.................................         118.6       2,280.5      -4.7    1,520      -3.1 
  Private industry...........................         118.3       1,830.8      -5.7    1,629      -3.6 
    Natural resources and mining.............           0.0           0.2      -6.7    2,277     -33.5 
    Construction.............................           2.3          33.7     -10.4    1,498      -1.4 
    Manufacturing............................           2.8          28.8     -18.9    1,236      -2.6 
    Trade, transportation, and utilities.....          21.2         228.7      -8.5    1,121      -3.6 
    Information..............................           4.5         127.3      -7.0    1,951      -2.0 
    Financial activities.....................          18.9         348.3      -8.7    2,876      -5.4 
    Professional and business services.......          25.1         463.9      -7.3    1,794      -1.9 
    Education and health services............           8.8         289.8       1.2    1,063       3.5 
    Leisure and hospitality..................          11.7         215.6      -2.5      731      -1.6 
    Other services...........................          18.2          87.6      -2.4      949       0.3 
  Government.................................           0.3         449.7      -0.5    1,076       2.2 
                                                                                                       
Harris, TX...................................          97.9       2,009.3      -3.1    1,042      -2.5 
  Private industry...........................          97.3       1,751.1      -3.9    1,056      -3.0 
    Natural resources and mining.............           1.5          81.1       (6)    2,663     -13.2 
    Construction.............................           6.7         143.9     -10.1    1,060       0.7 
    Manufacturing............................           4.6         174.4      -8.1    1,254      -3.5 
    Trade, transportation, and utilities.....          22.3         415.3      -3.4      924      -0.6 
    Information..............................           1.4          30.8      -4.8    1,194      -3.6 
    Financial activities.....................          10.4         115.8      -4.5    1,205      -6.9 
    Professional and business services.......          19.5         315.7      -7.5    1,239       1.4 
    Education and health services............          10.5         228.1       4.3      880       1.5 
    Leisure and hospitality..................           7.7         184.5       0.6      379      -0.3 
    Other services...........................          12.0          59.9      -1.9      616      -2.2 
  Government.................................           0.5         258.2       2.8      947       1.5 
                                                                                                       
Maricopa, AZ.................................          98.2       1,588.7      -8.6      846       0.0 
  Private industry...........................          97.5       1,409.2      -9.4      826       0.0 
    Natural resources and mining.............           0.5           8.6      -5.6      671     -12.1 
    Construction.............................          10.0          95.4     -31.5      871      -0.3 
    Manufacturing............................           3.4         108.3     -13.4    1,157       0.8 
    Trade, transportation, and utilities.....          22.1         338.1      -8.3      781      -0.3 
    Information..............................           1.5          28.8      -6.2    1,028      -0.4 
    Financial activities.....................          12.0         135.7      -5.6    1,014      -2.4 
    Professional and business services.......          21.7         261.6     -12.2      885       2.5 
    Education and health services............          10.1         214.0       2.3      903       1.3 
    Leisure and hospitality..................           7.1         169.2      -6.1      397       0.0 
    Other services...........................           7.0          48.1      -6.5      569      -2.1 
  Government.................................           0.7         179.5      -1.7      979      -0.9 
                                                                                                       
Dallas, TX...................................          67.7       1,416.7      -4.8    1,007      -0.3 
  Private industry...........................          67.2       1,251.5      -5.4    1,012      -0.4 
    Natural resources and mining.............           0.6           8.4       1.8    2,809     -10.4 
    Construction.............................           4.3          75.0     -13.3      904      -2.0 
    Manufacturing............................           3.0         120.8     -10.9    1,158       0.3 
    Trade, transportation, and utilities.....          14.9         284.6       (6)      930      -1.2 
    Information..............................           1.6          46.1      -6.8    1,431       2.2 
    Financial activities.....................           8.7         139.4       (6)    1,287       (6) 
    Professional and business services.......          14.8         251.1      -9.5    1,136       1.0 
    Education and health services............           6.7         156.8       (6)      978       1.8 
    Leisure and hospitality..................           5.4         130.0       (6)      469       1.7 
    Other services...........................           6.8          38.5      -3.7      641       3.6 
  Government.................................           0.5         165.2      -0.3      970       0.7 
                                                                                                       
Orange, CA...................................         100.1       1,380.6      -8.0      953       0.0 
  Private industry...........................          98.7       1,225.7      -8.6      933      -0.3 
    Natural resources and mining.............           0.2           4.3     -19.5      593       1.9 
    Construction.............................           6.8          75.0     -19.0    1,082       0.6 
    Manufacturing............................           5.3         154.6     -11.8    1,132       1.1 
    Trade, transportation, and utilities.....          16.9         247.5      -9.4      896       0.4 
    Information..............................           1.3          27.5      -7.6    1,292      -5.3 
    Financial activities.....................          10.4         105.5       (6)    1,326      -1.6 
    Professional and business services.......          19.1         239.8     -11.2    1,083       1.4 
    Education and health services............          10.2         149.6       0.1      871       1.9 
    Leisure and hospitality..................           7.1         170.9      -5.4      408      -1.2 
    Other services...........................          18.7          47.8      -4.7      523      -2.2 
  Government.................................           1.4         154.9      -2.6    1,107       0.7 
                                                                                                       
San Diego, CA................................          96.6       1,258.2      -5.8      912      -1.5 
  Private industry...........................          95.3       1,029.9      -6.9      877      -2.3 
    Natural resources and mining.............           0.7          11.0      -5.5      535      -4.5 
    Construction.............................           6.8          61.9     -20.6      990       2.0 
    Manufacturing............................           3.1          95.5      -9.0    1,248       (6) 
    Trade, transportation, and utilities.....          14.1         198.0      -8.0      722       (6) 
    Information..............................           1.2          37.3      -4.3    1,627     -29.3 
    Financial activities.....................           9.1          70.6      -6.5    1,064      -2.2 
    Professional and business services.......          16.3         196.7      -8.9    1,144       2.3 
    Education and health services............           8.3         141.5       3.3      859       1.8 
    Leisure and hospitality..................           6.9         156.2      -7.2      389      -4.0 
    Other services...........................          26.2          58.2      -1.4      476       0.8 
  Government.................................           1.3         228.3      -0.3    1,071       0.9 
                                                                                                       
King, WA.....................................          77.1       1,138.3      -5.2    1,077       2.0 
  Private industry...........................          76.6         977.8      -6.3    1,080       2.0 
    Natural resources and mining.............           0.4           3.0      -4.8    1,156     -12.6 
    Construction.............................           6.4          56.1     -21.6    1,101       3.6 
    Manufacturing............................           2.4         102.2      -8.9    1,386       4.1 
    Trade, transportation, and utilities.....          14.8         205.8      -6.3      926       1.6 
    Information..............................           1.8          80.1       0.9    1,923       1.1 
    Financial activities.....................           6.8          69.5      -6.9    1,313       1.4 
    Professional and business services.......          13.8         173.4     -10.8    1,273       (6) 
    Education and health services............           6.7         131.2       3.9      880       4.0 
    Leisure and hospitality..................           6.3         109.9      -5.0      427       (6) 
    Other services...........................          17.3          46.7       0.1      610      -1.1 
  Government.................................           0.5         160.5       1.8    1,056       2.1 
                                                                                                       
Miami-Dade, FL...............................          83.9         932.3      -5.9      833      -0.6 
  Private industry...........................          83.6         799.9      -6.6      802      -0.2 
    Natural resources and mining.............           0.5           7.5      -9.9      480       0.6 
    Construction.............................           5.8          35.9     -24.0      870       3.2 
    Manufacturing............................           2.6          37.1     -17.5      746      -0.1 
    Trade, transportation, and utilities.....          22.9         234.2      -6.8      756       0.1 
    Information..............................           1.5          18.1      -8.0    1,216     -12.2 
    Financial activities.....................           9.6          62.8      -8.5    1,148      -1.2 
    Professional and business services.......          17.5         121.9      -9.3      978      -0.6 
    Education and health services............           9.4         145.5       2.6      834       2.8 
    Leisure and hospitality..................           6.0         101.7      -1.8      475       1.3 
    Other services...........................           7.5          34.9      -5.3      539       1.3 
  Government.................................           0.3         132.3      -1.1    1,009      -2.6 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.
(2) Data are preliminary.
(3) Average weekly wages were calculated using unrounded data.
(4) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(5) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(6) Data do not meet BLS or State agency disclosure standards.










Table 3. Covered(1) establishments, employment, and wages in the largest county by
state, second quarter 2009(2)
                                                                                   
                                                                                   
                                                Employment         Average weekly  
                                                                       wage(4)     
                          Establishments,                                          
                           second quarter                                          
        County(3)               2009                    Percent            Percent 
                            (thousands)       June      change,  Average   change, 
                                              2009       June     weekly   second  
                                          (thousands) 2008-09(5)   wage    quarter 
                                                                         2008-09(5)
                                                                                   
                                                                                   
United States(6).........       9,055.3     129,674.8      -5.1     $840      -0.1 
                                                                                   
Jefferson, AL............          18.3         337.9      -7.0      845       0.6 
Anchorage Borough, AK....           8.1         148.4      -1.8      948       3.6 
Maricopa, AZ.............          98.2       1,588.7      -8.6      846       0.0 
Pulaski, AR..............          15.0         243.6      -3.8      781       2.5 
Los Angeles, CA..........         419.7       3,947.3      -6.1      940      -0.6 
Denver, CO...............          25.5         424.1      -6.0    1,011      -1.0 
Hartford, CT.............          25.5         491.8      -4.6    1,014       0.1 
New Castle, DE...........          18.1         268.1      -5.7      959      -0.3 
Washington, DC...........          33.7         690.9      -0.1    1,421      -0.9 
Miami-Dade, FL...........          83.9         932.3      -5.9      833      -0.6 
                                                                                   
Fulton, GA...............          39.2         696.1      -6.4    1,087       0.6 
Honolulu, HI.............          24.9         434.7      -3.7      802       1.6 
Ada, ID..................          14.7         195.9      -8.1      734      -1.6 
Cook, IL.................         142.0       2,395.8      -5.4      986      -1.4 
Marion, IN...............          24.0         545.2      -5.3      850       0.4 
Polk, IA.................          14.8         271.9      -2.8      823       0.1 
Johnson, KS..............          20.7         304.6      -4.9      871      -1.6 
Jefferson, KY............          22.1         413.2      -5.1      823       0.4 
East Baton Rouge, LA.....          14.4         256.1      -1.7      805       1.8 
Cumberland, ME...........          12.2         170.2      -4.0      756       0.0 
                                                                                   
Montgomery, MD...........          32.8         449.4      -2.4    1,129       1.5 
Middlesex, MA............          47.2         801.2      -4.4    1,194      -3.5 
Wayne, MI................          31.4         654.9     -11.6      920      -3.1 
Hennepin, MN.............          42.8         811.1      -4.9    1,027      -3.9 
Hinds, MS................           6.2         125.4      -1.6      746       2.1 
St. Louis, MO............          32.1         580.7      -5.8      893      -1.4 
Yellowstone, MT..........           5.8          77.3      -1.6      690       0.0 
Douglas, NE..............          15.8         314.2      -2.8      783      -0.8 
Clark, NV................          49.9         820.9     -10.7      793      -0.4 
Hillsborough, NH.........          12.1         189.0      -5.0      913      -1.8 
                                                                                   
Bergen, NJ...............          34.5         434.1      -4.6    1,032       0.1 
Bernalillo, NM...........          17.6         319.0      -4.8      763       1.7 
New York, NY.............         118.6       2,280.5      -4.7    1,520      -3.1 
Mecklenburg, NC..........          33.2         534.4      -5.9      937      -1.1 
Cass, ND.................           5.8          99.8      -1.5      710       1.4 
Cuyahoga, OH.............          37.1         697.5      -6.2      849      -2.4 
Oklahoma, OK.............          23.8         410.4      -3.6      765      -1.5 
Multnomah, OR............          28.0         424.6      -5.9      868       0.6 
Allegheny, PA............          35.0         678.2      -2.9      892      -0.6 
Providence, RI...........          17.7         269.2      -4.9      833       1.0 
                                                                                   
Greenville, SC...........          12.4         223.5      -7.7      736      -0.1 
Minnehaha, SD............           6.4         114.7      -2.4      688       1.0 
Shelby, TN...............          19.7         472.9      -5.6      854       0.4 
Harris, TX...............          97.9       2,009.3      -3.1    1,042      -2.5 
Salt Lake, UT............          37.5         560.2      -5.3      797       2.4 
Chittenden, VT...........           6.0          92.5      -3.0      834       0.0 
Fairfax, VA..............          34.2         576.8      -2.4    1,348       1.8 
King, WA.................          77.1       1,138.3      -5.2    1,077       2.0 
Kanawha, WV..............           6.0         107.1      -2.2      765       1.7 
Milwaukee, WI............          20.7         474.7      -5.6      848      -0.4 
                                                                                   
Laramie, WY..............           3.2          43.5      -2.9      723       2.4 
                                                                                   
San Juan, PR.............          12.4         270.8      -4.2      582       2.8 
St. Thomas, VI...........           1.9          22.8      -4.1      668       1.2 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted
for noneconomic county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin
Islands.










Table 4. Covered(1) establishments, employment, and wages by state, 
second quarter 2009(2)
                                                                                 
                                                                                 
                                                Employment        Average weekly 
                                                                      wage(3)    
                          Establishments,                                        
                           second quarter                                        
          State                 2009                    Percent           Percent
                            (thousands)       June      change,  Average  change,
                                              2009       June     weekly  second 
                                          (thousands)   2008-09    wage   quarter
                                                                          2008-09
                                                                                 
                                                                                 
United States(4).........       9,055.3     129,674.8      -5.1     $840     -0.1
                                                                                 
Alabama..................         117.8       1,836.9      -6.1      733      1.8
Alaska...................          21.3         326.3      -1.4      892      3.7
Arizona..................         155.0       2,335.1      -8.2      807      0.1
Arkansas.................          86.0       1,136.5      -4.1      668      1.1
California...............       1,338.0      14,794.5      -6.1      949     -0.6
Colorado.................         176.1       2,222.2      -5.3      851     -0.8
Connecticut..............         112.6       1,636.4      -4.8    1,034     -0.3
Delaware.................          29.1         408.4      -5.2      858     -0.3
District of Columbia.....          33.7         690.9      -0.1    1,421     -0.9
Florida..................         599.7       7,085.9      -6.8      766      0.4
                                                                                 
Georgia..................         271.6       3,806.5      -6.2      791      0.6
Hawaii...................          39.3         594.0      -5.0      775      1.6
Idaho....................          56.4         624.8      -6.9      633     -0.5
Illinois.................         374.3       5,610.6      -5.4      883     -1.1
Indiana..................         159.8       2,701.2      -7.0      710     -0.7
Iowa.....................          94.4       1,470.4      -3.5      686      0.4
Kansas...................          87.7       1,331.4      -4.1      718     -0.3
Kentucky.................         109.1       1,723.7      -5.2      722      0.6
Louisiana................         123.8       1,853.6      -2.4      753      0.3
Maine....................          50.2         595.8      -4.0      681      0.7
                                                                                 
Maryland.................         165.0       2,500.8      -3.0      935      1.6
Massachusetts............         213.0       3,182.7      -4.1    1,028     -1.5
Michigan.................         255.7       3,804.8      -8.7      809     -1.8
Minnesota................         170.2       2,608.6      -4.7      842     -0.8
Mississippi..............          70.5       1,083.4      -4.9      639      0.6
Missouri.................         173.7       2,645.0      -4.2      747     -0.8
Montana..................          42.8         434.1      -3.6      637      1.1
Nebraska.................          59.9         911.4      -2.6      674     -0.3
Nevada...................          76.0       1,141.7     -10.2      799      0.4
New Hampshire............          48.8         615.8      -4.1      829     -0.7
                                                                                 
New Jersey...............         273.5       3,869.8      -4.4    1,002     -0.2
New Mexico...............          54.4         798.9      -4.5      724      1.0
New York.................         587.1       8,475.8      -3.3    1,026     -1.3
North Carolina...........         257.6       3,842.8      -5.6      734     -0.3
North Dakota.............          25.8         356.2      -0.1      666      1.7
Ohio.....................         290.4       4,980.6      -6.3      754     -0.3
Oklahoma.................         101.1       1,498.5      -3.8      695     -1.0
Oregon...................         130.7       1,635.4      -6.3      767      0.4
Pennsylvania.............         342.5       5,519.9      -3.9      829      0.2
Rhode Island.............          35.4         458.0      -4.9      806      1.3
                                                                                 
South Carolina...........         113.6       1,782.7      -6.7      685      0.6
South Dakota.............          30.8         400.8      -2.0      614      1.3
Tennessee................         141.8       2,569.3      -6.6      749      0.5
Texas....................         564.5      10,168.5      -3.3      839     -1.2
Utah.....................          85.6       1,165.7      -5.5      723      1.0
Vermont..................          24.9         294.0      -4.0      725      1.0
Virginia.................         231.3       3,588.9      -3.5      899      1.6
Washington...............         222.1       2,884.3      -4.0      881      2.2
West Virginia............          48.6         697.0      -2.6      710      2.2
Wisconsin................         156.8       2,690.4      -5.3      729      0.0
                                                                                 
Wyoming..................          25.2         283.8      -4.5      768     -1.5
                                                                                 
Puerto Rico..............          53.0         955.5      -4.5      485      2.5
Virgin Islands...........           3.6          43.4      -5.6      720      2.4

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs.
(2) Data are preliminary.
(3) Average weekly wages were calculated using unrounded data.
(4) Totals for the United States do not include data for Puerto Rico or the
Virgin Islands.






Last Modified Date: January 13, 2010