Technical information:        (202) 691-6567     USDL 07-1119
                     http://www.bls.gov/cew/
                                                 For release:  10:00 A.M. EDT
Media contact:                      691-5902     Wednesday, July 25, 2007



          (NOTE:  Tables 1 and 2 in the HTML and text versions of 
       this news release were corrected online on July 27, 2007.  
       The PDF and print versions were correct as originally issued.)



             COUNTY EMPLOYMENT AND WAGES:  FOURTH QUARTER 2006

   As of December 2006, three counties heavily affected by Hurricane
Katrina had recovered some of the job losses caused by the storm.
Harrison County, Miss., had the largest over-the-year percentage in-
crease in employment among the largest counties in the U.S., accord-
ing to preliminary data released today by the Bureau of Labor Statis-
tics of the U.S. Department of Labor.  Harrison County, which includes
the cities of Gulfport and Biloxi, experienced an over-the-year em-
ployment gain of 18.7 percent compared with national job growth of 1.6
percent.  Orleans and Jefferson counties in Louisiana had over-the-
year gains of 12.2 and 10.5 percent, respectively.  Employment gains
in these counties reflected a partial employment recovery following
substantial job losses that occurred in 2005 due to Hurricane Katrina.
The U.S. average weekly wage rose by 4.2 percent from fourth quarter
2005 to fourth quarter 2006.  Among the largest counties, Rockingham,
N.H., had the greatest gain over the same time span with an increase
of 18.0 percent.

   Of the 325 largest counties in the United States, as measured by
2005 annual average employment, 135 had over-the-year percentage
growth in employment above the national average (1.6 percent) in De-
cember 2006 and 179 experienced changes below the national average.
The percent change in average weekly wages was higher than the nation-
al average (4.2 percent) in 122 of the largest U.S. counties, but was
below the national average in 185 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 8.9 million employer reports cover 135.9 million full- and
part-time workers.  The attached tables contain data for the na-
tion and for the 325 U.S. counties with annual average employment le-
vels of 75,000 or more in 2005. December 2006 employment and 2006
fourth-quarter average weekly wages for all states are provided in ta-
ble 4 of this release.  Final data for all states, metropolitan sta-
tistical areas, counties, and the nation through the fourth quarter of
2005 are available on the BLS Web site at http://www.bls.gov/cew/.
Preliminary data for fourth quarter 2006, along with updated data for
the first, second, and third quarters of 2006, will be available later
in July on the BLS Web site.

Large County Employment

   In December 2006, national employment, as measured by the QCEW pro-
gram, was 135.9 million, up by 1.6 percent from December 2005.  The 325
U.S. counties with 75,000 or more employees accounted for 71.0 percent
of total U.S. covered employment and 77.1 percent of total covered
wages.  These 325 counties had a net job gain of 1,409,950 over the
year, accounting for 66.8 percent of the overall U.S. employment in-
crease.  Employment rose in 270 of the large counties from December 2005
to December 2006.  Harrison County, Miss., had the largest over-the-year
percentage increase in employment (18.7 percent).  Orleans, La., had the
next largest increase, 12.2 percent, followed by the counties of Jeffer-
son, La. (10.5 percent), Williamson, Texas (7.7 percent), and Utah, Utah
(6.8 percent).  The large employment gains in Harrison, Orleans, and Jef-
ferson counties reflected significant recovery from depressed employment
levels in December 2005, which were related to Hurricane Katrina.  (See
table 1.)
                                  
    
    ------------------------------------------------------------------
   |                                                                  |
   |                       Hurricane Katrina                          |
   |                                                                  |
   |    The employment and wages reported in this news release re-    |
   | flect the impact of Hurricane Katrina and ongoing labor market   |
   | trends in certain counties.  The effects of Hurricane Katrina,   |
   | which hit the Gulf Coast on August 29, 2005, were first apparent |
   | in the September QCEW employment counts and in the wage totals   |
   | for the third quarter of 2005.  This catastrophic storm contin-  |
   | ued to affect monthly employment and quarterly wage totals in    |
   | parts of Louisiana and Mississippi in the fourth quarter of 2006.|
   | For more information, see the QCEW section of the Katrina cover- |
   | age on the BLS Web site at http://www.bls.gov/katrina/qcewques-  |
   | tions.htm.                                                       |
    ------------------------------------------------------------------


                                  - 2 -

Table A.  Top 10 large counties ranked by December 2006 employment, December 2005-06
employment growth, and December 2005-06 percent growth in employment
------------------------------------------------------------------------------------
                             Employment in large counties                           
------------------------------------------------------------------------------------
                             |                            |                         
    December 2006 employment |    Growth in employment,   |     Percent growth    
          (thousands)        |      December 2005-06      |      in employment,   
                             |        (thousands)         |    December 2005-06    
------------------------------------------------------------------------------------
                             |                            |                         
United States ..... 135,933.2| United States ..... 2,110.6| United States ...... 1.6
-----------------------------|----------------------------|-------------------------
                             |                            |                         
Los Angeles, Calif. . 4,242.5| Harris, Texas ........ 76.3| Harrison, Miss. ... 18.7
Cook, Ill. .......... 2,569.9| Maricopa, Ariz. ...... 68.5| Orleans, La. ...... 12.2
New York, N.Y. ...... 2,359.8| New York, N.Y. ....... 43.9| Jefferson, La. .... 10.5
Harris, Texas ....... 1,993.9| Dallas, Texas ........ 42.6| Williamson, Texas .  7.7
Maricopa, Ariz. ..... 1,854.5| King, Wash. .......... 34.2| Utah, Utah ........  6.8
Orange, Calif. ...... 1,519.1| Bexar, Texas ......... 26.6| Horry, S.C. .......  6.6
Dallas, Texas ....... 1,490.2| Salt Lake, Utah ...... 26.5| Collin, Texas .....  6.5
San Diego, Calif. ... 1,335.2| Travis, Texas ........ 25.7| Montgomery, Texas .  6.3
King, Wash. ......... 1,173.0| Clark, Nev. .......... 24.3| Fort Bend, Texas ..  5.6
Miami-Dade, Fla. .... 1,032.7| Mecklenburg, N.C. .... 24.1| Wake, N.C. ........  5.1
                             |                            |                         
------------------------------------------------------------------------------------


   Employment declined in 41 counties from December 2005 to December 2006.
The largest percentage decline in employment was in Trumbull County, Ohio
(-4.7 percent).  Elkhart, Ind., had the next largest employment decline
(-3.3 percent), followed by the counties of Wayne, Mich. (-3.1 percent),
Oakland, Mich. (-2.7 percent), and Genesee, Mich. (-2.4 percent).  In each
of these five counties, the greatest number of jobs lost occurred in the
manufacturing industry.

   The largest gains in the level of employment from December 2005 to De-
cember 2006 were recorded in the counties of Harris, Texas (76,300), Mar-
icopa, Ariz. (68,500), New York, N.Y. (43,900), Dallas, Texas (42,600),
and King, Wash. (34,200).  (See table A.)

   The largest declines in employment levels occurred in Wayne, Mich.
(-25,100), followed by the counties of Oakland, Mich. (-19,800), Montgom-
ery, Ohio (-5,200), and Elkhart, Ind., and Monroe, N.Y. (-4,200 each).

Large County Average Weekly Wages

   The national average weekly wage in the fourth quarter of 2006 was
$861.  Average weekly wages were higher than the national average in 105
of the largest 325 U.S. counties.  New York County, N.Y., held the top
position among the highest-paid large counties with an average weekly
wage of $1,781.  Santa Clara, Calif., was second with an average weekly
wage of $1,569, followed by Fairfield, Conn. ($1,515), Suffolk, Mass.
($1,481), and San Francisco, Calif. ($1,460).  (See table B.)


                                  - 3 -

Table B.  Top 10 large counties ranked by fourth quarter 2006 average weekly wages,
fourth quarter 2005-06 growth in average weekly wages, and fourth quarter 2005-06
percent growth in average weekly wages

------------------------------------------------------------------------------------
                        Average weekly wage in large counties                       
------------------------------------------------------------------------------------
    Average weekly wage,    |  Growth in average weekly |      Percent growth in    
     fourth quarter 2006    |    wage, fourth quarter   |     average weekly wage,  
                            |           2005-06         |   fourth quarter 2005-06  
------------------------------------------------------------------------------------
                            |                           |                           
United States ......... $861| United States ........ $35| United States .......  4.2
------------------------------------------------------------------------------------
                            |                           |                           
New York, N.Y. ...... $1,781| Rockingham, N.H. .... $155| Rockingham, N.H. .... 18.0
Santa Clara, Calif. .  1,569| Sedgwick, Kan. ......  104| Sedgwick, Kan. ...... 14.0
Fairfield, Conn. ....  1,515| Travis, Texas .......  102| Trumbull, Ohio ...... 14.0
Suffolk, Mass. ......  1,481| Trumbull, Ohio ......  100| Travis, Texas ....... 10.9
San Francisco, Calif.  1,460| New York, N.Y. ......   96| Waukesha, Wis. ...... 10.4
Washington, D.C. ....  1,424| Rock Island, Ill. ...   86| Santa Cruz, Calif. .. 10.1
Arlington, Va. ......  1,419| Waukesha, Wis. ......   86| Rock Island, Ill. ...  9.5
San Mateo, Calif. ...  1,402| San Francisco, Calif.   83| Ada, Idaho ..........  8.9
Somerset, N.J. ......  1,373| Santa Clara, Calif. .   76| Miami-Dade, Fla. ....  8.1
Fairfax, Va. ........  1,297| Santa Cruz, Calif. ..   75| East Baton Rouge, La.  8.1
                            |                           | Lafayette, La. ......  8.1
                            |                           | Utah, Utah ..........  8.1
------------------------------------------------------------------------------------



   There were 219 counties with an average weekly wage below the nation-
al average in the fourth quarter of 2006.  The lowest average weekly
wages were reported in Cameron County, Texas ($527), followed by the coun-
ties of Hidalgo, Texas ($542), Yakima, Wash. ($570), Webb, Texas ($571),
and Horry, S.C. ($578).  (See table 1.)


   Over the year, the national average weekly wage rose by 4.2 percent.
Among the largest counties, Rockingham, N.H., led the nation in average
weekly wage growth with an increase of 18.0 percent from the fourth quarter
of 2005.  Sedgwick, Kan., and Trumbull, Ohio, were second in wage growth
(14.0 percent each), followed by the counties of Travis, Texas (10.9
percent) and Waukesha, Wis. (10.4 percent).

   Eight counties experienced over-the-year declines in average weekly
wages.  New Castle, Del., had the largest decrease (-5.7 percent), followed
by the counties of Elkhart, Ind. (-5.3 percent), Orleans, La. (-4.4 per-
cent), York, Pa. (-4.3 percent), and Harrison, Miss. (-2.4 percent).

Ten Largest U.S. Counties

   Each of the 10 largest counties (based on 2005 annual average employment
levels) reported increases in employment from December 2005 to December 2006.  
Harris, Texas, experienced the largest percent increase in employment among 
the largest counties (4.0 percent).  Within Harris County, employment rose in 
every industry group.  The largest percent gains were in natural resources 
and mining (12.2 percent), followed by construction (6.8 percent).  Maricopa, 
Ariz., had the next largest percent increase in employment (3.8 percent),
followed by King, Wash. (3.0 percent).  The smallest percent increases in em-
ployment occurred in Los Angeles, Calif. (0.5 percent), Orange, Calif. (0.7 
percent), and San Diego, Calif. (0.8 percent).  (See table 2.)

   Each of the 10 largest U.S. counties saw over-the-year increases in
average weekly wages.  Miami-Dade, Fla., had the fastest growth in wages
among the 10 largest counties with a gain of 8.1 percent.  Within Miami-
Dade County, average weekly wages increased the most in professional and
business services (18.7 percent), followed by financial activities (9.0
percent).  Harris, Texas, was second in wage growth with a gain of 7.2
percent, followed by King, Wash. (5.8 percent).  The smallest wage gains
among the 10 largest counties occurred in Orange, Calif. (2.7 percent),
followed by Dallas, Texas (3.3 percent) and San Diego, Calif. (3.6 per-
cent).

                                - 4 -

Largest County by State

   Table 3 shows December 2006 employment and the 2006 fourth quarter
average weekly wage in the largest county in each state, which is based
on 2005 annual average employment levels.  (This table includes two coun-
ties--Yellowstone, Mont., and Laramie, Wyo.--that had employment levels
below 75,000.)  The employment levels in the counties in table 3 in De-
cember 2006 ranged from approximately 4.2 million in Los Angeles County,
Calif., to 42,200 in Laramie County, Wyo.  The highest average weekly
wage of these counties was in New York, N.Y. ($1,781), while the lowest
average weekly wage was in Laramie, Wyo. ($682).

For More Information

   For additional information about the quarterly employment and wages
data, please read the Technical Note or visit the QCEW Web site at
http://www.bls.gov/cew/.  Additional information about the QCEW data also
may be obtained by e-mailing QCEWinfo@bls.gov or 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 first quarter 2007 is sche-
duled to be released on Thursday, October 18.

     ___________________________________________________________________
    |                                                                   |
    |  Upcoming Changes to Quarterly Census of Employment and Wages     |
    |                              Data                                 |
    |                                                                   |
    |    Data for 2006 will be the last from the Quarterly Census of    |
    | Employment and Wages (QCEW) program using the 2002 version of the |
    | North American Industry Classification System (NAICS).  With the  |
    | release of first quarter 2007 data, scheduled for October 18, the |
    | QCEW program will switch to the 2007 NAICS as the basis for the   |
    | assignment and tabulation of economic data by industry.           |
    |___________________________________________________________________| 





                                  - 5 -

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 to-
tal 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.  Data for 2006 are preliminary and sub-
ject to revision.

   For purposes of this release, large counties are defined as having em-
ployment levels of 75,000 or greater.  In addition, data for San Juan,
Puerto Rico, are provided, 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 preliminary annual average of employment
for the previous year.  The 326 counties presented in this release were
derived using 2005 preliminary annual averages of employment.  For 2006
data, four counties have been added to the publication tables:  Douglas,
Colo., Weld, Colo., Boone, Ky., and Butler, Pa.  These counties will be
included in all 2006 quarterly releases.  One county, Potter, Texas, which
was published in the 2005 releases, no longer has an employment level of
75,000 or more and will be excluded in the 2006 releases.  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' continuing 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 pro-
cedure, 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 differences and the intended uses of the program pro-
ducts.  (See table below.)  Additional information on each program can 
be obtained from the program Web sites shown in the table below.

                                  - 6 -

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 8.9   |  ministrative records|  ments
           |  million establish- |  submitted by 6.8    |
           |  ments              |  million private-sec-|
           |                     |  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 feder-|  establishments with |  ing agriculture, pri-
           |  al 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                |
           |                     |--Future expansions   |
           |                     |  will include data at|
           |                     |  the county, MSA, and|
           |                     |  state 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 |  -An analysis of em- |   cators
           |   surveys           |   ployment expansion |
           |                     |   and contraction by |
           |                     |   size of firm       |
-----------|---------------------|----------------------|--------------------------
Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
Web sites  |                     |                      |
-----------------------------------------------------------------------------------
                                  
                                  - 7 -
   
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 civilian workers covered by the Unemployment
Compensation for Federal Employees (UCFE) program, employment and wage data
are compiled from quarterly reports that are sent to the appropriate SWA by
the specific federal agency.  In addition to the quarterly contribution
reports, employers who operate multiple establishments within a state com-
plete a questionnaire, called the "Multiple Worksite Report," which provides
detailed information on the location and industry of each of their establish-
ments.  The employment and wage data included in this release are derived
from microdata summaries of nearly 9 million employer reports of employment
and wages submitted by states to the BLS.  These reports are based on place
of employment rather than place of residence.
   
   UI and UCFE coverage is broad and basically comparable from state to
state.  In 2005, UI and UCFE programs covered workers in 131.6 million
jobs.  The estimated 126.7 million workers in these jobs (after adjust-
ment for multiple jobholders) represented 96.6 percent of civilian wage 
and salary employment.  Covered workers received $5.352 trillion in pay,
representing 94.5 percent of the wage and salary component of personal
income and 43.0 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 domes-
tic 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.  Coverage changes may affect the over-the-year comparisons
presented in this news release.  

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 pro-
duction 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 averages 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 compensation 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 in-
cluding the 12th of the month.  When comparing average weekly wage levels
between industries, states, or quarters, these factors should be taken into
consideration.

                                  - 8 -

   Federal government pay levels are subject to periodic, sometimes large,
fluctuations due to a calendar effect that consists of some quarters having
more pay periods than others.   Most federal employees are paid on a bi-
weekly pay schedule.  As a result of this schedule, in some quarters, fed-
eral wages contain payments for six pay periods, while in other quarters
their wages include payments for seven pay periods.  Over-the-year com-
parisons of average weekly wages may reflect this calendar effect.  Higher
growth in average weekly wages may be attributed, in part, to a comparison
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 occur when wages in the current period, which contain six pay periods,
are compared with year-ago wages that include seven pay periods.   The ef-
fect on over-the-year pay comparisons can be pronounced in federal govern-
ment 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 concentrations of federal
employment.
                            
   In order to ensure the highest possible quality of data, states verify
with employers and update, if necessary, the industry, location, and own-
ership classification of all establishments on a 3-year cycle.  Changes
in establishment classification codes resulting from this process are in-
troduced 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 individual establishment records and reflect the number of estab-
lishments that exist in a county or industry at a point in time.  Estab-
lishments can move in or out of a county or industry for a number of rea-
sons--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 underlying 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 2005 
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 unadjusted
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 release.
   
   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 owner-
ship information of their establishments.  The most common adjustments
for administrative change are the result of updated information about the
county location of individual establishments.  Included in these adjust-
ments are administrative changes involving the classification of establish-
ments that were previously reported in the unknown or statewide county or
unknown industry categories.  The adjusted data do not account for adminis-
trative changes caused by multi-unit employers who start reporting for each
individual establishment rather than as a single entity.

                                  - 9 -

   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 Standards 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 re-
ferred to in this release are defined as census regions.

Additional statistics and other information
   
   An annual bulletin, Employment and Wages, features comprehensive infor-
mation by detailed industry on establishments, employment, and wages for 
the nation and all states.  The 2005 edition of this bulletin contains
selected data produced by Business Employment Dynamics (BED) on job gains
and losses, as well as selected data from the fourth quarter 2005 version
of this news release.   This edition is the first to include the data on
a CD for enhanced access and usability.  As a result of this change, the
printed booklet contains only selected graphic representations of QCEW
data; the data tables themselves are published exclusively in electronic
formats as PDF and  fixed-width text files.  Employment and Wages Annual
Averages, 2005 is available for sale from the United States Government
Printing Office, Superintendent of Documents, P.O. Box 371954, Pittsburgh,
PA 15250, telephone 866-512-1800, outside of Washington, D.C.  Within
Washington, D.C., the telephone number is 202-512-1800.  The fax number is
202-512-2104.  Also, the 2005 bulletin is available in a portable document
format (PDF) on the BLS Web site at http://www.bls.gov/cew/cewbultn05.htm.
   
   News releases on quarterly measures of gross job flows also are available
upon request from the Division of Administrative Statistics and Labor Turn-
over (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 326 largest counties,
fourth quarter 2006(2)
                                                                                                       
                                                                                                       
                                                     Employment               Average weekly wage(5)   
                                                                                                       
                          Establishments,                                                              
        County(3)          fourth quarter               Percent   Ranking            Percent   Ranking 
                                2006        December    change,      by    Average   change,      by   
                            (thousands)       2006     December   percent   weekly   fourth    percent 
                                          (thousands) 2005-06(4)   change    wage    quarter    change 
                                                                                   2005-06(4)          
                                                                                                                                                                                                              
United States(6).........       8,929.5     135,933.2       1.6         -     $861       4.2         - 
                                                                                                       
Jefferson, AL............          18.8         378.1       1.0       180      868       4.1       137 
Madison, AL..............           8.5         176.1       2.2        87      893       5.8        35 
Mobile, AL...............           9.9         172.7       1.1       168      756       6.2        31 
Montgomery, AL...........           6.6         139.0       0.3       249      764       5.5        50 
Tuscaloosa, AL...........           4.3          85.9       3.1        44      759       2.8       248 
Anchorage Borough, AK....           8.1         145.2       1.0       180      879       4.9        75 
Maricopa, AZ.............          94.1       1,854.5       3.8        28      856       4.6       101 
Pima, AZ.................          20.1         377.2       3.1        44      743       3.6       183 
Benton, AR...............           5.4          95.6       4.0        22      752       1.2       303 
Pulaski, AR..............          14.4         249.5       0.7       212      782       4.3       114 
                                                                                                       
Washington, AR...........           5.6          93.9       1.5       141      716       5.0        71 
Alameda, CA..............          50.1         686.3       0.0       271    1,106       5.3        54 
Contra Costa, CA.........          28.5         350.0       0.8       199    1,057       4.8        83 
Fresno, CA...............          29.6         352.8       2.1        95      688       3.6       183 
Kern, CA.................          17.5         282.9       2.4        76      721       5.1        64 
Los Angeles, CA..........         400.2       4,242.5       0.5       232    1,011       4.3       114 
Marin, CA................          11.8         111.7       1.1       168    1,148       0.5       308 
Monterey, CA.............          12.3         149.5      -1.3       305      764       6.1        32 
Orange, CA...............          96.6       1,519.1       0.7       212      994       2.7       255 
Placer, CA...............          10.6         136.4      -0.1       279      866       7.0        16 
                                                                                                       
Riverside, CA............          43.9         637.0       1.3       156      711       4.4       108 
Sacramento, CA...........          51.4         631.6       0.1       266      929       4.3       114 
San Bernardino, CA.......          46.7         666.6       1.0       180      747       4.0       145 
San Diego, CA............          93.8       1,335.2       0.8       199      922       3.6       183 
San Francisco, CA........          44.9         547.8       2.2        87    1,460       6.0        33 
San Joaquin, CA..........          17.3         221.5       0.6       224      744       3.3       212 
San Luis Obispo, CA......           9.2         104.1       2.6        66      727       3.9       160 
San Mateo, CA............          23.3         343.3       2.4        76    1,402       2.9       241 
Santa Barbara, CA........          13.8         182.3       2.3        80      810       1.3       301 
Santa Clara, CA..........          56.7         898.3       2.1        95    1,569       5.1        64 
                                                                                                       
Santa Cruz, CA...........           8.8          92.3       0.3       249      818      10.1         6 
Solano, CA...............          10.0         129.3      -2.2       314      809       5.3        54 
Sonoma, CA...............          18.0         193.0       0.5       232      841       2.3       275 
Stanislaus, CA...........          14.2         174.4       0.7       212      708       2.2       281 
Tulare, CA...............           9.0         149.0       4.0        22      593       2.4       269 
Ventura, CA..............          22.0         319.6       0.0       271      948       6.4        25 
Yolo, CA.................           5.5          98.6       1.2       163      763       4.8        83 
Adams, CO................           9.3         153.4       1.8       124      785       3.0       235 
Arapahoe, CO.............          19.8         280.3       1.9       115    1,022       4.8        83 
Boulder, CO..............          12.6         160.8       3.5        33    1,026       5.4        51 
                                                                                                       
Denver, CO...............          25.4         439.7       2.2        87    1,069       6.3        28 
Douglas, CO..............           9.1          89.8       3.5        33      859       2.1       285 
El Paso, CO..............          17.5         247.2       1.0       180      774       3.2       220 
Jefferson, CO............          18.8         209.2       0.0       271      852       4.4       108 
Larimer, CO..............          10.1         128.2       2.3        80      784       3.7       176 
Weld, CO.................           5.9          81.8       3.4        37      711       5.0        71 
Fairfield, CT............          32.8         428.5       1.9       115    1,515       1.2       303 
Hartford, CT.............          25.1         507.6       2.7        60    1,045       1.2       303 
New Haven, CT............          22.4         374.8       2.2        87      911       2.2       281 
New London, CT...........           6.8         130.5       0.0       271      869       3.2       220 
                                                                                                       
New Castle, DE...........          19.6         289.1       0.3       249    1,004      -5.7       321 
Washington, DC...........          32.7         675.0       0.4       238    1,424       5.0        71 
Alachua, FL..............           6.5         125.7       0.4       238      691       5.7        39 
Brevard, FL..............          14.6         207.7      -0.3       289      807       3.5       196 
Broward, FL..............          63.8         762.9       1.6       136      861       5.6        46 
Collier, FL..............          12.4         140.4       3.1        44      818       1.6       297 
Duval, FL................          25.7         470.9       2.0       104      849       4.0       145 
Escambia, FL.............           7.9         131.1      -0.3       289      687       2.5       262 
Hillsborough, FL.........          36.2         656.1       2.1        95      815       4.2       123 
Lake, FL.................           6.9          85.8       3.0        50      693       3.6       183 
                                                                                                       
Lee, FL..................          18.9         229.6       3.1        44      749       2.2       281 
Leon, FL.................           8.0         149.6       1.6       136      730       2.7       255 
Manatee, FL..............           8.9         132.3       1.8       124      674       3.4       204 
Marion, FL...............           8.1         104.9       2.7        60      636       3.8       168 
Miami-Dade, FL...........          84.9       1,032.7       1.3       156      898       8.1         9 
Okaloosa, FL.............           6.0          83.8       1.9       115      691       3.6       183 
Orange, FL...............          34.9         693.7       3.3        38      786       3.1       227 
Palm Beach, FL...........          49.5         578.8       2.5        71      873       5.7        39 
Pasco, FL................           9.5         102.0       2.5        71      630       5.0        71 
Pinellas, FL.............          31.0         448.1       0.4       238      765       4.7        88 
                                                                                                       
Polk, FL.................          12.5         212.6       0.8       199      675       2.1       285 
Sarasota, FL.............          15.1         161.7       1.4       146      766       3.1       227 
Seminole, FL.............          14.7         180.1       1.4       146      784       1.8       293 
Volusia, FL..............          13.9         167.5       0.7       212      645       5.6        46 
Bibb, GA.................           4.7          85.5      -1.3       305      695       2.8       248 
Chatham, GA..............           7.5         138.7       4.0        22      738       3.2       220 
Clayton, GA..............           4.4         109.6      -0.4       291      751       0.3       311 
Cobb, GA.................          20.2         313.7       1.5       141      917       4.1       137 
De Kalb, GA..............          15.9         284.2       0.1       266      900       4.8        83 
Fulton, GA...............          40.2         790.0       1.8       124    1,120      -2.0       316 
                                                                                                       
Gwinnett, GA.............          23.3         333.5       4.2        16      910       4.6       101 
Muscogee, GA.............           4.9          97.4      -1.3       305      671       3.7       176 
Richmond, GA.............           4.8         104.1       (7)         -      711       5.3        54 
Honolulu, HI.............          24.1         460.2       1.6       136      787       3.1       227 
Ada, ID..................          15.1         211.7       3.6        31      818       8.9         8 
Champaign, IL............           4.1          91.8       0.6       224      706       4.1       137 
Cook, IL.................         136.4       2,569.9       0.9       189    1,051       5.1        64 
Du Page, IL..............          35.0         601.8       1.1       168    1,021       4.9        75 
Kane, IL.................          12.3         210.4       1.1       168      803       3.1       227 
Lake, IL.................          20.5         329.8       0.9       189    1,081       5.3        54 
                                                                                                       
McHenry, IL..............           8.2         102.3       3.2        41      771       3.2       220 
McLean, IL...............           3.6          86.0       1.0       180      795       4.3       114 
Madison, IL..............           5.9          95.2       0.4       238      713      -1.2       315 
Peoria, IL...............           4.7         104.1       2.5        71      818       2.3       275 
Rock Island, IL..........           3.5          78.6      -0.8       297      996       9.5         7 
St. Clair, IL............           5.3          96.2       1.3       156      691       3.6       183 
Sangamon, IL.............           5.2         130.6       0.0       271      823       4.6       101 
Will, IL.................          12.7         183.8       3.5        33      788       2.5       262 
Winnebago, IL............           6.8         138.4       0.9       189      729       3.0       235 
Allen, IN................           8.9         186.4       1.4       146      723       2.6       258 
                                                                                                       
Elkhart, IN..............           4.8         123.8      -3.3       318      691      -5.3       320 
Hamilton, IN.............           7.1         101.3       2.1        95      840       2.1       285 
Lake, IN.................          10.0         196.9      -0.1       279      738       2.9       241 
Marion, IN...............          23.6         589.6       1.1       168      867       3.6       183 
St. Joseph, IN...........           6.0         126.9       0.2       259      706       2.5       262 
Vanderburgh, IN..........           4.8         108.2      -2.0       313      708       4.0       145 
Linn, IA.................           6.3         122.8       2.8        55      829       3.4       204 
Polk, IA.................          14.6         274.6       2.9        52      853       3.1       227 
Scott, IA................           5.2          90.1       0.2       259      705       3.2       220 
Johnson, KS..............          20.1         315.1       3.6        31      881       3.6       183 
                                                                                                       
Sedgwick, KS.............          12.2         257.0       3.8        28      848      14.0         2 
Shawnee, KS..............           4.9          93.0      -1.3       305      716       3.8       168 
Wyandotte, KS............           3.3          81.8       4.4        15      818       4.9        75 
Boone, KY................           3.5          76.9       0.9       189      783       4.0       145 
Fayette, KY..............           9.3         178.7       (7)         -      778       2.9       241 
Jefferson, KY............          22.8         439.0       2.1        95      830       4.0       145 
Caddo, LA................           7.4         125.4      -0.6       293      716       3.9       160 
Calcasieu, LA............           4.9          86.2       2.1        95      726       4.3       114 
East Baton Rouge, LA.....          14.0         263.4       0.7       212      771       8.1         9 
Jefferson, LA............          14.5         198.1      10.5         3      817       2.4       269 
                                                                                                       
Lafayette, LA............           8.4         132.7       3.2        41      818       8.1         9 
Orleans, LA..............          11.8         162.5      12.2         2      941      -4.4       319 
Cumberland, ME...........          12.1         175.1       0.6       224      769       2.5       262 
Anne Arundel, MD.........          14.3         230.7       2.3        80      888       3.3       212 
Baltimore, MD............          21.7         381.6       0.3       249      919       5.4        51 
Frederick, MD............           5.9          93.9       1.7       131      805       3.2       220 
Harford, MD..............           5.6          83.1       0.9       189      771       3.9       160 
Howard, MD...............           8.4         145.6       1.9       115      995       3.6       183 
Montgomery, MD...........          32.7         472.8       1.4       146    1,136       2.4       269 
Prince Georges, MD.......          15.7         317.6       0.0       271      934       4.2       123 
                                                                                                       
Baltimore City, MD.......          14.1         355.0       0.6       224    1,013       2.2       281 
Barnstable, MA...........           9.2          87.3      -1.2       304      759       3.8       168 
Bristol, MA..............          15.7         224.2       0.4       238      769       3.8       168 
Essex, MA................          20.7         300.5       0.7       212      916       3.4       204 
Hampden, MA..............          14.1         202.1       0.2       259      789       4.1       137 
Middlesex, MA............          47.1         815.6       1.4       146    1,209       4.3       114 
Norfolk, MA..............          21.5         325.6       0.3       249    1,060       4.2       123 
Plymouth, MA.............          13.8         179.4       0.3       249      834       4.0       145 
Suffolk, MA..............          21.7         584.8       2.2        87    1,481       4.9        75 
Worcester, MA............          20.6         325.0       0.7       212      858       3.5       196 
                                                                                                       
Genesee, MI..............           8.4         147.7      -2.4       315      782       (7)         - 
Ingham, MI...............           7.1         162.3       0.0       271      824       4.2       123 
Kalamazoo, MI............           5.7         117.2      -0.7       296      769       3.5       196 
Kent, MI.................          14.7         342.8      -1.0       299      793       3.0       235 
Macomb, MI...............          18.5         320.5       (7)         -      889      -0.1       314 
Oakland, MI..............          40.7         701.7      -2.7       316    1,030       1.9       290 
Ottawa, MI...............           5.9         110.0      -1.8       311      758       2.6       258 
Saginaw, MI..............           4.5          89.5      -0.2       286      759       1.6       297 
Washtenaw, MI............           8.3         196.2      -1.1       300      924       1.3       301 
Wayne, MI................          33.9         771.4      -3.1       317      969       1.8       293 
                                                                                                       
Anoka, MN................           7.9         116.8      -0.1       279      811       4.8        83 
Dakota, MN...............          10.5         175.5       0.4       238      832       3.0       235 
Hennepin, MN.............          42.4         851.5       0.1       266    1,052       3.8       168 
Olmsted, MN..............           3.6          90.7       0.8       199      843       4.1       137 
Ramsey, MN...............          15.6         333.6      -0.2       286      907       3.3       212 
St. Louis, MN............           5.9          96.5       0.8       199      696       3.1       227 
Stearns, MN..............           4.5          81.3       2.0       104      667       4.2       123 
Harrison, MS.............           4.4          86.0      18.7         1      663      -2.4       317 
Hinds, MS................           6.5         129.4       0.6       224      759       3.3       212 
Boone, MO................           4.5          82.8       1.4       146      647       3.4       204 
                                                                                                       
Clay, MO.................           5.1          88.7       0.8       199      774       2.4       269 
Greene, MO...............           8.2         155.8       1.7       131      632       1.0       306 
Jackson, MO..............          18.8         371.0       0.9       189      863       2.9       241 
St. Charles, MO..........           8.0         123.8       3.2        41      714       0.8       307 
St. Louis, MO............          34.1         635.1       1.4       146      907       2.4       269 
St. Louis City, MO.......           8.1         220.5      -1.1       300      936       4.1       137 
Douglas, NE..............          15.6         318.4       1.2       163      814       3.0       235 
Lancaster, NE............           8.0         155.9       1.0       180      677       2.4       269 
Clark, NV................          47.6         921.1       2.7        60      815       5.6        46 
Washoe, NV...............          14.3         221.8       2.0       104      821       4.9        75 
                                                                                                       
Hillsborough, NH.........          12.6         200.8      -0.1       279      994       4.7        88 
Rockingham, NH...........          11.0         140.5       1.0       180    1,015      18.0         1 
Atlantic, NJ.............           7.0         148.0       1.6       136      783       4.5       107 
Bergen, NJ...............          35.1         460.7       1.1       168    1,114       4.0       145 
Burlington, NJ...........          11.7         205.7       0.6       224      906       3.3       212 
Camden, NJ...............          13.9         214.4       0.8       199      926       3.7       176 
Essex, NJ................          22.0         365.6       0.3       249    1,111       3.7       176 
Gloucester, NJ...........           6.5         107.4       1.5       141      793       3.4       204 
Hudson, NJ...............          14.4         239.6       0.2       259    1,119       4.9        75 
Mercer, NJ...............          11.3         231.5       1.1       168    1,118       3.6       183 
                                                                                                       
Middlesex, NJ............          21.6         405.9       1.4       146    1,101       5.1        64 
Monmouth, NJ.............          21.1         259.4       0.2       259      954       3.0       235 
Morris, NJ...............          18.5         297.8       2.3        80    1,284       3.6       183 
Ocean, NJ................          12.3         148.4       0.2       259      762       2.8       248 
Passaic, NJ..............          12.9         181.3      -0.1       279      929       3.9       160 
Somerset, NJ.............          10.4         176.5       1.0       180    1,373       4.9        75 
Union, NJ................          15.3         233.9       0.6       224    1,118       4.0       145 
Bernalillo, NM...........          17.3         335.7       2.7        60      760       4.0       145 
Albany, NY...............           9.9         231.7       0.7       212      901       (7)         - 
Bronx, NY................          15.7         224.7       0.1       266      828       5.7        39 
                                                                                                       
Broome, NY...............           4.5          96.3       0.5       232      663       4.7        88 
Dutchess, NY.............           8.3         120.2       0.4       238      853       3.9       160 
Erie, NY.................          23.3         461.7       0.0       271      757       6.9        17 
Kings, NY................          44.1         474.7       2.1        95      771       4.0       145 
Monroe, NY...............          17.8         385.0      -1.1       300      809       2.8       248 
Nassau, NY...............          52.2         616.6       1.1       168      980       3.7       176 
New York, NY.............         116.4       2,359.8       1.9       115    1,781       5.7        39 
Oneida, NY...............           5.3         112.4       2.3        80      664       4.7        88 
Onondaga, NY.............          12.7         253.0      -0.1       279      801       4.0       145 
Orange, NY...............           9.9         132.1       0.9       189      722       2.3       275 
                                                                                                       
Queens, NY...............          42.1         497.2       1.9       115      853       3.9       160 
Richmond, NY.............           8.5          94.3       2.7        60      764       3.5       196 
Rockland, NY.............           9.7         117.1       2.0       104      906       4.0       145 
Suffolk, NY..............          49.6         628.8       1.1       168      953       6.5        21 
Westchester, NY..........          36.3         425.6       1.1       168    1,211       2.9       241 
Buncombe, NC.............           7.5         114.7       3.1        44      691       4.7        88 
Catawba, NC..............           4.5          89.6       2.4        76      673       5.2        59 
Cumberland, NC...........           6.0         118.3       1.2       163      634       2.3       275 
Durham, NC...............           6.5         182.2       (7)         -    1,072       5.7        39 
Forsyth, NC..............           8.9         184.6       0.8       199      791       4.6       101 
                                                                                                       
Guilford, NC.............          14.1         283.7       2.8        55      765       3.9       160 
Mecklenburg, NC..........          29.7         557.7       4.5        14      973       4.4       108 
New Hanover, NC..........           7.1         102.1       3.3        38      708       4.1       137 
Wake, NC.................          25.9         440.4       5.1        10      866       4.3       114 
Cass, ND.................           5.7          96.1       3.5        33      724       4.6       101 
Butler, OH...............           7.3         146.3       0.8       199      744       0.5       308 
Cuyahoga, OH.............          38.3         755.6      -0.5       292      874       2.1       285 
Franklin, OH.............          29.4         692.9       0.7       212      835       3.3       212 
Hamilton, OH.............          24.2         530.3      -0.6       293      915       2.0       289 
Lake, OH.................           6.9         101.5       0.4       238      720       3.6       183 
                                                                                                       
Lorain, OH...............           6.3         100.8      -1.6       310      703       0.3       311 
Lucas, OH................          10.9         225.7      -1.1       300      750       2.9       241 
Mahoning, OH.............           6.3         104.8       0.8       199      627       1.8       293 
Montgomery, OH...........          13.0         272.7      -1.9       312      828       6.4        25 
Stark, OH................           9.1         162.4      -1.5       309      670       4.0       145 
Summit, OH...............          14.9         275.4       0.1       266      788       3.1       227 
Trumbull, OH.............           4.8          83.0      -4.7       319      814      14.0         2 
Oklahoma, OK.............          23.2         426.2       0.9       189      759       6.5        21 
Tulsa, OK................          19.3         348.9       2.8        55      776       4.3       114 
Clackamas, OR............          12.5         149.9       1.8       124      794       4.1       137 
                                                                                                       
Jackson, OR..............           6.7          86.5       1.5       141      626       3.8       168 
Lane, OR.................          10.9         151.9       1.7       131      672       2.6       258 
Marion, OR...............           9.2         137.1       2.4        76      669       4.9        75 
Multnomah, OR............          27.0         449.6       2.8        55      868       5.6        46 
Washington, OR...........          15.9         250.7       2.2        87      948       5.1        64 
Allegheny, PA............          35.1         690.6       0.7       212      912       6.4        25 
Berks, PA................           9.1         172.0       2.3        80      774       6.3        28 
Bucks, PA................          20.2         266.7       0.8       199      849       4.7        88 
Butler, PA...............           4.7          78.4       2.6        66      723       5.2        59 
Chester, PA..............          14.9         239.5       2.0       104    1,107       4.2       123 
                                                                                                       
Cumberland, PA...........           5.9         127.9       2.0       104      773       2.5       262 
Dauphin, PA..............           7.3         182.9       2.0       104      827       4.7        88 
Delaware, PA.............          13.6         212.0       0.5       232      924       3.5       196 
Erie, PA.................           7.3         128.4       0.4       238      671       3.5       196 
Lackawanna, PA...........           5.8         103.2       1.7       131      662       2.5       262 
Lancaster, PA............          12.1         231.1       0.7       212      733       3.1       227 
Lehigh, PA...............           8.7         179.3       2.6        66      860       5.4        51 
Luzerne, PA..............           7.9         144.2       0.5       232      652       0.3       311 
Montgomery, PA...........          27.5         493.7       0.4       238    1,094       6.5        21 
Northampton, PA..........           6.4          99.2       1.7       131      765       4.7        88 
                                                                                                       
Philadelphia, PA.........          29.2         638.9      -0.2       286    1,009       4.2       123 
Washington, PA...........           5.3          78.6       1.8       124      725       2.8       248 
Westmoreland, PA.........           9.5         138.2      -0.8       297      665       4.6       101 
York, PA.................           8.9         177.3       0.9       189      750      -4.3       318 
Kent, RI.................           5.8          84.8       1.5       141      753       1.9       290 
Providence, RI...........          18.3         292.9       0.8       199      847       4.2       123 
Charleston, SC...........          14.2         208.4       4.6        13      728       3.4       204 
Greenville, SC...........          14.1         236.2       2.0       104      748       3.2       220 
Horry, SC................           9.8         112.5       6.6         6      578       1.9       290 
Lexington, SC............           6.5          94.7       4.0        22      646       2.9       241 
                                                                                                       
Richland, SC.............          10.9         218.5       0.4       238      737       5.1        64 
Spartanburg, SC..........           7.0         119.4       2.6        66      724       3.4       204 
Minnehaha, SD............           6.3         115.0       1.9       115      705       4.3       114 
Davidson, TN.............          18.3         455.8       1.4       146      888       5.3        54 
Hamilton, TN.............           8.5         196.0       0.5       232      765       5.8        35 
Knox, TN.................          10.8         228.7       3.3        38      762       4.4       108 
Rutherford, TN...........           4.0         100.4       2.2        87      790       7.8        13 
Shelby, TN...............          20.0         522.4       2.0       104      877       3.4       204 
Bell, TX.................           4.4          97.6       2.5        71      643       4.7        88 
Bexar, TX................          31.3         716.4       3.9        27      760       2.3       275 
                                                                                                       
Brazoria, TX.............           4.4          84.8       4.1        20      801       6.5        21 
Brazos, TX...............           3.7          85.4       1.9       115      615       4.4       108 
Cameron, TX..............           6.4         123.8       4.2        16      527       4.2       123 
Collin, TX...............          15.5         274.8       6.5         7      986       2.5       262 
Dallas, TX...............          67.4       1,490.2       2.9        52    1,069       3.3       212 
Denton, TX...............           9.8         161.1       (7)         -      768       (7)         - 
El Paso, TX..............          13.1         267.5       1.4       146      602       5.2        59 
Fort Bend, TX............           7.7         120.7       5.6         9      912       6.8        19 
Galveston, TX............           5.2          93.5       (7)         -      772       (7)         - 
Harris, TX...............          93.6       1,993.9       4.0        22    1,087       7.2        15 
                                                                                                       
Hidalgo, TX..............          10.2         213.2       4.2        16      542       5.7        39 
Jefferson, TX............           5.8         124.2       2.1        95      836       2.8       248 
Lubbock, TX..............           6.6         124.1       2.6        66      644       3.5       196 
McLennan, TX.............           4.8         103.5       1.3       156      677       4.2       123 
Montgomery, TX...........           7.5         114.5       6.3         8      823       5.2        59 
Nueces, TX...............           8.0         151.1       1.8       124      734       7.3        14 
Smith, TX................           5.1          92.1       1.1       168      739       2.6       258 
Tarrant, TX..............          35.8         755.9       2.9        52      874       5.7        39 
Travis, TX...............          27.0         562.8       4.8        11    1,038      10.9         4 
Webb, TX.................           4.6          87.0       3.1        44      571       4.0       145 
                                                                                                       
Williamson, TX...........           6.4         112.4       7.7         4      819       1.4       299 
Davis, UT................           7.2         101.7       4.1        20      709       5.8        35 
Salt Lake, UT............          39.4         584.4       4.8        11      803       4.4       108 
Utah, UT.................          13.2         172.7       6.8         5      680       8.1         9 
Weber, UT................           5.8          92.2       2.8        55      650       6.9        17 
Chittenden, VT...........           5.8          96.4       0.6       224      825       4.7        88 
Arlington, VA............           7.4         160.7       2.0       104    1,419       4.2       123 
Chesterfield, VA.........           7.1         120.7       2.5        71      776       3.6       183 
Fairfax, VA..............          32.0         585.5       1.6       136    1,297       4.0       145 
Henrico, VA..............           8.8         179.3       2.1        95      897       1.4       299 
                                                                                                       
Loudoun, VA..............           7.7         127.9       1.0       180    1,064       0.4       310 
Prince William, VA.......           6.6         105.2       1.3       156      766       2.3       275 
Alexandria City, VA......           6.0          95.6       1.2       163    1,123       4.7        88 
Chesapeake City, VA......           5.4         101.5       2.3        80      681       3.7       176 
Newport News City, VA....           3.9         100.7       1.8       124      765       4.2       123 
Norfolk City, VA.........           5.7         144.2       0.3       249      834       3.5       196 
Richmond City, VA........           7.0         163.2       0.9       189      968       2.8       248 
Virginia Beach City, VA..          11.4         179.8       1.2       163      689       4.7        88 
Clark, WA................          11.7         131.3       1.9       115      765       3.9       160 
King, WA.................          77.4       1,173.0       3.0        50    1,043       5.8        35 
                                                                                                       
Kitsap, WA...............           6.6          84.8       0.7       212      760       3.8       168 
Pierce, WA...............          20.4         269.8       2.0       104      741       4.2       123 
Snohomish, WA............          17.4         238.4       3.8        28      850       4.7        88 
Spokane, WA..............          15.1         208.0       2.7        60      677       5.1        64 
Thurston, WA.............           6.7          97.6       2.2        87      750       5.9        34 
Whatcom, WA..............           6.9          80.6       1.1       168      646       5.2        59 
Yakima, WA...............           8.0          91.3       4.2        16      570       3.3       212 
Kanawha, WV..............           6.1         109.2       0.8       199      724       3.7       176 
Brown, WI................           6.6         149.5      -0.1       279      759       3.8       168 
Dane, WI.................          13.7         301.3      -0.6       293      813       6.8        19 
                                                                                                       
Milwaukee, WI............          21.0         500.8       0.3       249      866       4.2       123 
Outagamie, WI............           5.0         103.8       1.3       156      732       1.7       296 
Racine, WI...............           4.1          77.3       0.2       259      830       6.3        28 
Waukesha, WI.............          13.1         238.0       1.3       156      913      10.4         5 
Winnebago, WI............           3.7          88.8       0.3       249      796       2.7       255 
San Juan, PR.............          14.9         310.4      -5.7       (8)      577       6.1       (8) 

  1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 325 U.S. counties comprise 71.0 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 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
  5 Average weekly wages were calculated using unrounded data.
  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 ten largest counties,
fourth quarter 2006(2)
                                                                                                       
                                                                                                       
                                                                    Employment         Average weekly  
                                                                                           wage(4)     
                                              Establishments,                                          
                                               fourth quarter                                          
         County by NAICS supersector                2006                    Percent            Percent 
                                                (thousands)     December    change,  Average   change, 
                                                                  2006     December   weekly   fourth  
                                                              (thousands) 2005-06(3)   wage    quarter 
                                                                                             2005-06(3)
                                                                                                                                                                                                              
United States(5).............................       8,929.5     135,933.2       1.6     $861       4.2 
  Private industry...........................       8,649.9     114,287.7       1.7      866       4.5 
    Natural resources and mining.............         125.0       1,723.6       4.2      872       8.9 
    Construction.............................         890.1       7,534.7       1.7      949       6.4 
    Manufacturing............................         363.7      14,039.7      -1.1    1,036       4.5 
    Trade, transportation, and utilities.....       1,909.3      27,038.2       1.2      733       3.7 
    Information..............................         145.5       3,068.8      -0.3    1,290       3.4 
    Financial activities.....................         860.9       8,222.7       0.7    1,346       5.1 
    Professional and business services.......       1,456.8      17,785.7       3.0    1,093       5.1 
    Education and health services............         806.5      17,228.1       2.8      811       3.7 
    Leisure and hospitality..................         717.2      12,939.4       3.1      368       4.2 
    Other services...........................       1,151.2       4,391.6       1.1      546       4.0 
  Government.................................         279.6      21,645.5       1.1      837       3.7 
                                                                                                       
Los Angeles, CA..............................         400.2       4,242.5       0.5    1,011       4.3 
  Private industry...........................         396.5       3,652.2       0.5    1,008       3.8 
    Natural resources and mining.............           0.5          11.2       8.5      992       8.5 
    Construction.............................          14.3         157.4       1.2    1,033       7.2 
    Manufacturing............................          15.8         458.5      -2.2    1,019       5.4 
    Trade, transportation, and utilities.....          56.1         843.8       0.5      828       6.2 
    Information..............................           9.1         213.4       0.5    1,793       1.0 
    Financial activities.....................          25.4         249.8      -0.6    1,486       4.9 
    Professional and business services.......          43.9         608.2       1.2    1,185       3.2 
    Education and health services............          28.3         475.9       1.0      925       4.4 
    Leisure and hospitality..................          27.5         394.2       1.9      821       0.9 
    Other services...........................         175.3         239.9       0.6      440       4.5 
  Government.................................           3.7         590.3       0.8    1,032       7.5 
                                                                                                       
Cook, IL.....................................         136.4       2,569.9       0.9    1,051       5.1 
  Private industry...........................         135.2       2,258.7       1.1    1,059       5.0 
    Natural resources and mining.............           0.1           1.4       0.6    1,127       8.0 
    Construction.............................          11.9          94.5       2.2    1,323       6.6 
    Manufacturing............................           7.2         245.6      -1.6    1,072       4.3 
    Trade, transportation, and utilities.....          27.5         496.7       0.1      826       3.4 
    Information..............................           2.5          59.1      -2.5    1,412       5.1 
    Financial activities.....................          15.7         219.9      -0.2    1,748       6.5 
    Professional and business services.......          27.9         445.1       2.8    1,395       5.0 
    Education and health services............          13.3         366.4       1.6      902       6.4 
    Leisure and hospitality..................          11.4         230.3       3.3      421       3.7 
    Other services...........................          13.5          95.1      -0.5      722       4.0 
  Government.................................           1.2           (6)       (6)      (6)       (6) 
                                                                                                       
New York, NY.................................         116.4       2,359.8       1.9    1,781       5.7 
  Private industry...........................         116.2       1,909.3       2.3    1,959       6.5 
    Natural resources and mining.............           0.0           0.1      -5.0    1,442     -62.8 
    Construction.............................           2.2          32.3       6.0    1,783       9.8 
    Manufacturing............................           3.0          38.0      -7.1    1,386       0.0 
    Trade, transportation, and utilities.....          21.3         257.0       1.1    1,277       3.8 
    Information..............................           4.1         132.0      -0.8    2,062       6.1 
    Financial activities.....................          17.8         374.0       2.8    3,922       7.5 
    Professional and business services.......          23.3         478.7       3.0    2,017       5.6 
    Education and health services............           8.3         289.1       1.5    1,021       2.8 
    Leisure and hospitality..................          10.7         208.2       3.2      935      13.1 
    Other services...........................          16.9          87.1       0.5      997       5.8 
  Government.................................           0.2         450.5       0.1    1,025       (6) 
                                                                                                       
Harris, TX...................................          93.6       1,993.9       4.0    1,087       7.2 
  Private industry...........................          93.1       1,740.9       4.4    1,117       7.4 
    Natural resources and mining.............           1.4          76.1      12.2    2,722       1.2 
    Construction.............................           6.4         144.7       6.8    1,094      12.8 
    Manufacturing............................           4.6         180.1       5.5    1,357       8.1 
    Trade, transportation, and utilities.....          21.2         425.6       2.1      953       7.4 
    Information..............................           1.3          32.8       3.5    1,220       2.3 
    Financial activities.....................          10.1         118.5       1.1    1,390       4.7 
    Professional and business services.......          18.3         325.3       4.7    1,335      10.0 
    Education and health services............           9.7         206.3       3.7      901       3.4 
    Leisure and hospitality..................           7.0         169.9       5.1      377       3.6 
    Other services...........................          10.8          56.3       2.1      612       5.7 
  Government.................................           0.4         253.0       1.1      887       5.6 
                                                                                                       
Maricopa, AZ.................................          94.1       1,854.5       3.8      856       4.6 
  Private industry...........................          93.5       1,636.8       4.0      858       4.5 
    Natural resources and mining.............           0.5           9.5       5.8      776      10.2 
    Construction.............................           9.9         171.0      -0.5      924       7.4 
    Manufacturing............................           3.4         136.0       0.8    1,229      11.4 
    Trade, transportation, and utilities.....          20.1         386.1       4.3      786       2.7 
    Information..............................           1.6          33.0       0.3    1,058      12.4 
    Financial activities.....................          11.8         152.5       2.0    1,105       1.8 
    Professional and business services.......          20.6         321.9       5.9      870       2.8 
    Education and health services............           9.1         193.2       6.8      931       4.3 
    Leisure and hospitality..................           6.7         179.6       4.7      405       6.0 
    Other services...........................           6.7          49.1       5.3      565       0.7 
  Government.................................           0.6         217.7       2.3      842       5.5 
                                                                                                       
Orange, CA...................................          96.6       1,519.1       0.7      994       2.7 
  Private industry...........................          95.3       1,388.4       0.9      998       2.5 
    Natural resources and mining.............           0.2           4.9     -13.4      650       6.7 
    Construction.............................           7.2         106.5      -0.2    1,122       7.5 
    Manufacturing............................           5.6         182.7       0.2    1,178       5.3 
    Trade, transportation, and utilities.....          18.0         286.5       0.6      893       4.7 
    Information..............................           1.4          31.2      -1.8    1,364       9.6 
    Financial activities.....................          11.6         136.9      -6.4    1,594      -2.9 
    Professional and business services.......          19.6         280.4       4.2    1,096       2.3 
    Education and health services............           9.9         139.3       4.0      919       2.5 
    Leisure and hospitality..................           7.1         172.0       3.6      386       1.8 
    Other services...........................          14.6          48.0      -2.8      583       2.8 
  Government.................................           1.4         130.7      -1.4      961       6.1 
                                                                                                       
Dallas, TX...................................          67.4       1,490.2       2.9    1,069       3.3 
  Private industry...........................          67.0       1,328.5       3.1    1,088       2.9 
    Natural resources and mining.............           0.6           7.5       2.1    3,254       2.9 
    Construction.............................           4.3          80.4       4.4    1,012       5.7 
    Manufacturing............................           3.2         146.9       0.3    1,145       3.5 
    Trade, transportation, and utilities.....          14.8         315.6       1.6      971      -0.1 
    Information..............................           1.7          52.9      -0.9    1,371       4.1 
    Financial activities.....................           8.6         143.4       3.5    1,491       9.1 
    Professional and business services.......          14.1         269.5       4.2    1,287       1.7 
    Education and health services............           6.4         142.5       5.5      994       1.8 
    Leisure and hospitality..................           5.2         126.7       4.0      483       2.5 
    Other services...........................           6.4          39.5       1.5      669       4.9 
  Government.................................           0.4         161.7       1.7      911       5.3 
                                                                                                       
San Diego, CA................................          93.8       1,335.2       0.8      922       3.6 
  Private industry...........................          92.3       1,110.5       0.5      910       3.2 
    Natural resources and mining.............           0.8          10.1      -9.1      591       4.2 
    Construction.............................           7.4          90.5      -2.8    1,020       6.1 
    Manufacturing............................           3.3         102.9      -0.6    1,211       4.4 
    Trade, transportation, and utilities.....          14.8         232.8       0.7      725       5.1 
    Information..............................           1.3          37.7       0.5    1,696     -14.6 
    Financial activities.....................          10.2          83.7      -2.0    1,167      -4.1 
    Professional and business services.......          16.8         215.1       0.3    1,184       9.8 
    Education and health services............           8.1         125.4       2.2      898       5.2 
    Leisure and hospitality..................           6.9         155.8       3.5      396       4.2 
    Other services...........................          22.8          56.3       1.2      492       4.2 
  Government.................................           1.5         224.8       2.2      978       5.2 
                                                                                                       
King, WA.....................................          77.4       1,173.0       3.0    1,043       5.8 
  Private industry...........................          76.9       1,020.8       3.5    1,054       5.8 
    Natural resources and mining.............           0.4           2.7      -6.8    1,275       4.6 
    Construction.............................           6.8          68.7       9.4    1,032       6.4 
    Manufacturing............................           2.5         112.6       3.7    1,371       6.6 
    Trade, transportation, and utilities.....          15.0         229.5       2.4      907       5.7 
    Information..............................           1.8          74.8       7.4    1,872       4.2 
    Financial activities.....................           6.9          76.0      -1.0    1,351       9.3 
    Professional and business services.......          12.8         184.2       5.4    1,235       4.7 
    Education and health services............           6.4         119.4       2.9      817       4.3 
    Leisure and hospitality..................           6.0         108.8       2.7      427       3.4 
    Other services...........................          18.3          44.1      -1.8      561       5.3 
  Government.................................           0.5         152.2       0.0      968       4.5 
                                                                                                       
Miami-Dade, FL...............................          84.9       1,032.7       1.3      898       8.1 
  Private industry...........................          84.6         880.0       1.6      888       9.0 
    Natural resources and mining.............           0.5          10.5       6.5      477       2.1 
    Construction.............................           5.9          54.1      13.3      922       2.7 
    Manufacturing............................           2.6          47.3      -2.6      805       7.9 
    Trade, transportation, and utilities.....          22.9         257.8       1.8      816       7.8 
    Information..............................           1.6          21.7      -3.4    1,194       1.2 
    Financial activities.....................          10.3          72.4       2.8    1,331       9.0 
    Professional and business services.......          17.2         141.2      -5.5    1,207      18.7 
    Education and health services............           8.7         134.9       4.4      854       6.2 
    Leisure and hospitality..................           5.6         101.7       1.7      482       7.6 
    Other services...........................           7.6          35.3       2.4      519       7.2 
  Government.................................           0.3         152.7      -0.2      959       3.7 

  1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.
  2 Data are preliminary.
  3 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
  4 Average weekly wages were calculated using unrounded data.
  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, fourth quarter 2006(2)
                                                                                   
                                                                                   
                                                Employment         Average weekly  
                                                                       wage(5)     
                          Establishments,                                          
                           fourth quarter                                          
        County(3)               2006                    Percent            Percent 
                            (thousands)     December    change,  Average   change, 
                                              2006     December   weekly   fourth  
                                          (thousands) 2005-06(4)   wage    quarter 
                                                                         2005-06(4)
                                                                                                                                                                      
United States(6).........       8,929.5     135,933.2       1.6     $861       4.2 
                                                                                   
Jefferson, AL............          18.8         378.1       1.0      868       4.1 
Anchorage Borough, AK....           8.1         145.2       1.0      879       4.9 
Maricopa, AZ.............          94.1       1,854.5       3.8      856       4.6 
Pulaski, AR..............          14.4         249.5       0.7      782       4.3 
Los Angeles, CA..........         400.2       4,242.5       0.5    1,011       4.3 
Denver, CO...............          25.4         439.7       2.2    1,069       6.3 
Hartford, CT.............          25.1         507.6       2.7    1,045       1.2 
New Castle, DE...........          19.6         289.1       0.3    1,004      -5.7 
Washington, DC...........          32.7         675.0       0.4    1,424       5.0 
Miami-Dade, FL...........          84.9       1,032.7       1.3      898       8.1 
                                                                                   
Fulton, GA...............          40.2         790.0       1.8    1,120      -2.0 
Honolulu, HI.............          24.1         460.2       1.6      787       3.1 
Ada, ID..................          15.1         211.7       3.6      818       8.9 
Cook, IL.................         136.4       2,569.9       0.9    1,051       5.1 
Marion, IN...............          23.6         589.6       1.1      867       3.6 
Polk, IA.................          14.6         274.6       2.9      853       3.1 
Johnson, KS..............          20.1         315.1       3.6      881       3.6 
Jefferson, KY............          22.8         439.0       2.1      830       4.0 
East Baton Rouge, LA.....          14.0         263.4       0.7      771       8.1 
Cumberland, ME...........          12.1         175.1       0.6      769       2.5 
                                                                                   
Montgomery, MD...........          32.7         472.8       1.4    1,136       2.4 
Middlesex, MA............          47.1         815.6       1.4    1,209       4.3 
Wayne, MI................          33.9         771.4      -3.1      969       1.8 
Hennepin, MN.............          42.4         851.5       0.1    1,052       3.8 
Hinds, MS................           6.5         129.4       0.6      759       3.3 
St. Louis, MO............          34.1         635.1       1.4      907       2.4 
Yellowstone, MT..........           5.5          75.1       1.8      688       6.2 
Douglas, NE..............          15.6         318.4       1.2      814       3.0 
Clark, NV................          47.6         921.1       2.7      815       5.6 
Hillsborough, NH.........          12.6         200.8      -0.1      994       4.7 
                                                                                   
Bergen, NJ...............          35.1         460.7       1.1    1,114       4.0 
Bernalillo, NM...........          17.3         335.7       2.7      760       4.0 
New York, NY.............         116.4       2,359.8       1.9    1,781       5.7 
Mecklenburg, NC..........          29.7         557.7       4.5      973       4.4 
Cass, ND.................           5.7          96.1       3.5      724       4.6 
Cuyahoga, OH.............          38.3         755.6      -0.5      874       2.1 
Oklahoma, OK.............          23.2         426.2       0.9      759       6.5 
Multnomah, OR............          27.0         449.6       2.8      868       5.6 
Allegheny, PA............          35.1         690.6       0.7      912       6.4 
Providence, RI...........          18.3         292.9       0.8      847       4.2 
                                                                                   
Greenville, SC...........          14.1         236.2       2.0      748       3.2 
Minnehaha, SD............           6.3         115.0       1.9      705       4.3 
Shelby, TN...............          20.0         522.4       2.0      877       3.4 
Harris, TX...............          93.6       1,993.9       4.0    1,087       7.2 
Salt Lake, UT............          39.4         584.4       4.8      803       4.4 
Chittenden, VT...........           5.8          96.4       0.6      825       4.7 
Fairfax, VA..............          32.0         585.5       1.6    1,297       4.0 
King, WA.................          77.4       1,173.0       3.0    1,043       5.8 
Kanawha, WV..............           6.1         109.2       0.8      724       3.7 
Milwaukee, WI............          21.0         500.8       0.3      866       4.2 
                                                                                   
Laramie, WY..............           3.1          42.2       2.3      682       5.4 
                                                                                   
San Juan, PR.............          14.9         310.4      -5.7      577       6.1 
St. Thomas, VI...........           1.8          23.5       0.9      682       8.8 

  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 Percent changes were computed from quarterly employment and pay data adjusted
for noneconomic county reclassifications. See Technical Note.
  5 Average weekly wages were calculated using unrounded data.
  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, 
fourth quarter 2006(2)
                                                                                 
                                                                                 
                                                Employment        Average weekly 
                                                                      wage(3)    
                          Establishments,                                        
                           fourth quarter                                        
          State                 2006                    Percent           Percent
                            (thousands)     December    change,  Average  change,
                                              2006     December   weekly  fourth 
                                          (thousands)   2005-06    wage   quarter
                                                                          2005-06
                                                                                                                                                                  
United States(4).........       8,929.5     135,933.2       1.6     $861      4.2
                                                                                 
Alabama..................         118.3       1,948.9       1.0      737      4.4
Alaska...................          21.0         296.2       1.7      837      5.3
Arizona..................         152.9       2,693.3       3.5      805      4.7
Arkansas.................          82.1       1,179.3       1.0      652      2.8
California...............       1,300.2      15,672.1       1.1      987      4.4
Colorado.................         175.8       2,283.3       2.2      877      5.0
Connecticut..............         112.1       1,706.3       2.0    1,101      2.0
Delaware.................          30.2         427.5       0.5      896     -4.1
District of Columbia.....          32.7         675.0       0.4    1,424      5.0
Florida..................         593.5       8,126.2       1.7      788      4.6
                                                                                 
Georgia..................         267.7       4,090.4       2.2      812      2.1
Hawaii...................          37.5         632.3       1.9      762      3.5
Idaho....................          56.2         649.8       4.0      672      7.0
Illinois.................         353.6       5,899.5       1.3      928      4.6
Indiana..................         155.4       2,924.3       0.6      723      2.6
Iowa.....................          93.3       1,486.3       1.4      697      3.7
Kansas...................          85.6       1,358.9       2.6      725      6.5
Kentucky.................         112.1       1,815.4       1.7      708      3.8
Louisiana................         123.7       1,855.1       4.3      748      5.1
Maine....................          49.6         603.4       0.7      679      2.7
                                                                                 
Maryland.................         163.2       2,570.5       1.2      941      3.4
Massachusetts............         209.3       3,244.5       1.1    1,072      4.5
Michigan.................         265.4       4,242.5      -1.9      852      2.2
Minnesota................         167.0       2,683.1      -0.2      840      4.0
Mississippi..............          69.4       1,140.3       2.3      630      2.6
Missouri.................         174.0       2,737.5       1.4      741      2.3
Montana..................          41.5         431.6       3.0      625      5.8
Nebraska.................          58.3         912.2       1.3      687      3.6
Nevada...................          74.2       1,285.8       2.6      817      5.4
New Hampshire............          49.2         636.9       0.6      917      8.1
                                                                                 
New Jersey...............         283.1       4,023.6       0.9    1,055      4.4
New Mexico...............          53.3         823.2       3.7      705      7.1
New York.................         573.2       8,643.1       1.3    1,104      5.3
North Carolina...........         251.5       4,054.0       3.2      751      4.6
North Dakota.............          24.6         341.0       2.5      643      4.7
Ohio.....................         292.5       5,346.2      -0.3      774      3.1
Oklahoma.................          98.0       1,536.4       2.0      679      5.8
Oregon...................         129.3       1,723.9       2.3      763      4.8
Pennsylvania.............         336.1       5,680.8       1.1      837      4.4
Rhode Island.............          36.1         488.4       1.0      817      3.8
                                                                                 
South Carolina...........         135.6       1,886.8       3.0      688      3.3
South Dakota.............          29.9         387.1       2.2      614      4.2
Tennessee................         137.8       2,785.2       1.7      773      4.6
Texas....................         540.5      10,164.2       3.5      871      5.8
Utah.....................          88.4       1,208.0       5.1      725      5.5
Vermont..................          24.8         308.7       0.2      707      3.4
Virginia.................         220.5       3,682.9       1.3      887      3.7
Washington...............         219.2       2,863.7       2.5      846      5.2
West Virginia............          48.2         714.3       1.4      656      4.6
Wisconsin................         157.9       2,792.4       0.6      746      4.5
                                                                                 
Wyoming..................          24.0         270.9       5.4      759     11.3
                                                                                 
Puerto Rico..............          61.5       1,062.8      -3.0      494      4.7
Virgin Islands...........           3.5          45.5       1.2      711      7.2

  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.