County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, September 26, 2013                               USDL-13-1942

Technical Information:  (202) 691-6567      *      QCEWInfo@bls.gov      *      www.bls.gov/cew
Media Contact:          (202) 691-5902      *      PressOffice@bls.gov

COUNTY EMPLOYMENT AND WAGES
First Quarter 2013

From March 2012 to March 2013, employment increased in 282 of the 334 largest U.S. counties, the 
U.S. Bureau of Labor Statistics reported today. Fort Bend, Texas, posted the largest increase, with a 
gain of 7.0 percent over the year, compared with national job growth of 1.6 percent. Within Fort Bend, 
the largest employment increase occurred in leisure and hospitality, which gained 2,204 jobs over the 
year (12.5 percent). Sangamon, Ill., had the largest over-the-year decrease in employment among the 
largest counties in the U.S. with a loss of 2.4 percent. County employment and wage data are compiled 
under the Quarterly Census of Employment and Wages (QCEW) program, which produces detailed 
information on county employment and wages within 6 months after the end of each quarter. 

The U.S. average weekly wage increased over the year by 0.6 percent to $989 in the first quarter of 
2013. San Mateo, Calif., had the largest over-the-year increase in average weekly wages with a gain of 
14.8 percent. Within San Mateo, an average weekly wage gain of $2,996 or 104.1 percent in information 
had the largest contribution to the increase in average weekly wages. Williamson, Texas, experienced the 
largest decrease in average weekly wages with a loss of 13.4 percent over the year. 

Table A.  Large counties ranked by March 2013 employment, March 2012-13 employment 
increase, and March 2012-13 percent increase in employment  

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                                       Employment in large counties
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       March 2013 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |           March 2012-13          |           March 2012-13
                                  |            (thousands)           |                  
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                                  |                                  |                                  
 United States           132,338.9| United States             2,082.4| United States                 1.6
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                                  |                                  |                                  
 Los Angeles, Calif.       4,041.3| Los Angeles, Calif.          85.7| Fort Bend, Texas              7.0
 New York, N.Y.            2,403.9| Harris, Texas                77.7| Midland, Texas                6.9
 Cook, Ill.                2,394.0| Maricopa, Ariz.              43.0| Elkhart, Ind.                 6.0
 Harris, Texas             2,163.6| Dallas, Texas                41.3| Douglas, Colo.                5.6
 Maricopa, Ariz.           1,710.2| New York, N.Y.               39.2| Utah, Utah                    5.5
 Dallas, Texas             1,473.4| Orange, Calif.               38.9| Rutherford, Tenn.             5.3
 Orange, Calif.            1,433.5| King, Wash.                  35.4| Placer, Calif.                5.2
 San Diego, Calif.         1,297.9| Santa Clara, Calif.          33.8| Montgomery, Texas             5.0
 King, Wash.               1,175.0| San Diego, Calif.            29.1| Brazos, Texas                 4.7
 Miami-Dade, Fla.          1,016.2| Cook, Ill.                   27.4| Weld, Colo.                   4.4
                                  |                                  |                                  
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Large County Employment

In March 2013, national employment was 132.3 million (as measured by the QCEW program). Over the 
year employment was up by 1.6 percent or 2.1 million. The 334 U.S. counties with 75,000 or more jobs 
accounted for 71.6 percent of total U.S. employment and 77.7 percent of total wages. These 334 
counties had a net job growth of 1.6 million over the year, accounting for 78.6 percent of the overall 
U.S. employment increase.

Fort Bend, Texas, had the largest percentage increase in employment (7.0 percent) among the largest 
U.S. counties. The five counties with the largest increases in employment level were Los Angeles, Calif.; 
Harris, Texas; Maricopa, Ariz.; Dallas, Texas; and New York, N.Y. These counties had a combined over-
the-year employment gain of 286,800 jobs, which was 13.8 percent of the overall job increase for the 
U.S. (See table A.)

Employment declined in 46 of the large counties from March 2012 to March 2013. Sangamon, Ill., had 
the largest over-the-year percentage decrease in employment (-2.4 percent). Within Sangamon, 
professional and business services had the largest decrease in employment with a loss of 1,630 jobs 
(-14.5 percent). Vanderburgh, Ind., had the second largest percentage decrease in employment, followed 
by Broome, N.Y., and Jefferson, Texas, which tied for the third largest percentage decrease. Two 
counties, Peoria, Ill., and Oneida, N.Y., tied for the fifth largest percentage decrease. (See table 1.)

Table B.  Large counties ranked by first quarter 2013 average weekly wages, first quarter 2012-13
increase in average weekly wages, and first quarter 2012-13 percent increase in average weekly wages 

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                                  Average weekly wage in large counties
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        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
         first quarter 2013       |    wage, first quarter 2012-13   |         weekly wage, first
                                  |                                  |          quarter 2012-13
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                                  |                                  |                                  
 United States                $989| United States                  $6| United States                 0.6
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                                  |                                  |                                  
 New York, N.Y.             $2,448| San Mateo, Calif.            $239| San Mateo, Calif.            14.8
 Somerset, N.J.              2,009| Benton, Ark.                  168| Benton, Ark.                 14.3
 Santa Clara, Calif.         1,937| Somerset, N.J.                126| McLean, Ill.                 11.8
 Fairfield, Conn.            1,878| McLean, Ill.                  112| Clayton, Ga.                  6.7
 San Mateo, Calif.           1,859| Mercer, N.J.                   89| Somerset, N.J.                6.7
 San Francisco, Calif.       1,778| Clayton, Ga.                   58| Mercer, N.J.                  6.4
 Suffolk, Mass.              1,698| Williamson, Tenn.              53| Hampden, Mass.                4.8
 Arlington, Va.              1,621| Ramsey, Minn.                  49| Williamson, Tenn.             4.6
 Washington, D.C.            1,613| Lake, Ill.                     41| Winnebago, Wis.               4.6
 Morris, N.J.                1,582| Hampden, Mass.                 41| Ramsey, Minn.                 4.4
                                  |                                  |                                  
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Large County Average Weekly Wages

Average weekly wages for the nation increased 0.6 percent during the year ending in the first quarter of 
2013. Among the 334 largest counties, 232 had over-the-year increases in average weekly wages. San 
Mateo, Calif., had the largest wage increase among the largest U.S. counties (14.8 percent). 

Of the 334 largest counties, 92 experienced over-the-year decreases in average weekly wages. 
Williamson, Texas, had the largest average weekly wage decrease with a loss of 13.4 percent. Within 
Williamson, trade, transportation, and utilities had the largest impact on the county’s average weekly 
wage decrease. Within this industry, average weekly wages declined by $436 (-24.2 percent) over the 
year. Middlesex, N.J., had the second largest decrease in average weekly wages, followed by Peoria, Ill.; 
Washington, Ore.; and Santa Cruz, Calif. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in March 2013. 
Harris, Texas, had the largest gain (3.7 percent). Within Harris, professional and business services had 
the largest over-the-year employment level increase among all private industry groups with a gain of 
16,474 jobs or 4.7 percent. Cook, Ill., had the smallest percentage increase in employment (1.2 percent) 
among the 10 largest counties. (See table 2.)

Three of the 10 largest U.S. counties had over-the-year increases in average weekly wages. King, 
Wash., experienced the largest gain in average weekly wages (1.6 percent). Within King, professional 
and business services had the largest impact on the county’s average weekly wage growth. Within this 
industry, average weekly wages increased by $42 or 2.7 percent over the year. Los Angeles, Calif., had 
the largest average weekly wage decrease (-1.8 percent) among the 10 largest counties.

For More Information

The tables included in this release contain data for the nation and for the 334 U.S. counties with annual 
average employment levels of 75,000 or more in 2012. March 2013 employment and 2013 first quarter 
average weekly wages for all states are provided in table 3 of this release.

The employment and wage data by county are compiled under the QCEW program, also known as the 
ES-202 program. The data are derived from reports submitted by every employer subject to 
unemployment insurance (UI) laws. The 9.2 million employer reports cover 132.3 million full- and part-
time workers. For additional information about the quarterly employment and wages data, please read 
the Technical Note. Data for the first quarter of 2013 will be available later at http://www.bls.gov/cew/. 
Additional information about the QCEW data may be obtained by calling (202) 691-6567.

Several BLS regional offices are issuing QCEW news releases targeted to local data users. For links to 
these releases, see http://www.bls.gov/cew/cewregional.htm.

_____________
The County Employment and Wages release for second quarter 2013 is scheduled to be released on 
Wednesday, December 18, 2013.

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  |                                                                                                   |
  |               County Changes for the 2013 County Employment and Wages News Releases               |
  |                                                                                                   |
  | Counties with annual average employment of 75,000 or more in 2012 are included in this release    |
  | and will be included in future 2013 releases. Six counties have been added to the publication     |
  | tables: Boone, Ky.; Warren, Ohio; Jackson, Ore.; York, S.C.; Midland, Texas; and Potter, Texas.   |
  |                                                                                                   |
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  |                                                                                                   |
  |                                      Updated MSA Definitions                                      |
  |                                                                                                   |
  | New Metropolitan Statistical Area (MSA) definitions, and those for other types of Core Based      |
  | Statistical Areas (CBSA), were announced in March 2013. The QCEW program will be using those      |
  | definitions for tabulating data referencing 2013 and future years and will begin releasing that   |
  | data effective with today’s release. Prior year data will not be re-tabulated to the new          |
  | definitions.                                                                                      |
  |                                                                                                   |
  | For more information regarding the new area definitions, see                                      |
  | http://www.whitehouse.gov/omb/inforeg_statpolicy#ms.                                              |
  |                                                                                                   |
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  |                                                                                                   |
  |                                      Notable Industry Changes                                     |
  |                                                                                                   |
  | Each first quarter, QCEW incorporates improved industry assignments. Usually this activity is     |
  | distributed across industries. In 2013, the improvements also include substantial changes to two  |
  | specific industries--funds, trusts, and other financial vehicles (NAICS 525) as well as private   |
  | households (NAICS 814110).                                                                        |
  |                                                                                                   |
  | Establishments in funds, trusts, and other financial vehicles are legal entities with little to   |
  | no employment. Establishments with employees who manage such funds are typically coded in other   |
  | financial investment activities (NAICS 5239), although they may also be classified as other       |
  | industries within finance. The QCEW program examined establishments with employment classified    |
  | within funds, trusts, and other financial vehicles and reclassified them into other industries    |
  | based on each establishment’s primary economic activity.                                          |
  |                                                                                                   |
  | The QCEW program also reviewed establishments that provide non-medical, home-based services for   |
  | the elderly and persons with disabilities and classified these establishments into services for   |
  | the elderly and persons with disabilities (NAICS 624120). Many of these establishments were       |
  | previously classified in the private households industry.                                         |
  |                                                                                                   |
  | These changes apply not only to the data published by QCEW, but also data based on QCEW such as   |
  | BLS Current Employment Statistics (CES) and Bureau of Economic Analysis (BEA) Personal Income.    |
  | For more information about the industry changes affecting the data in these programs, contact the |
  | QCEW program at (202) 691-6567, the CES program at (202) 691-6555, or BEA at (202) 606-9272.      |
  |                                                                                                   |
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Technical Note 
 
These data are the product of a federal-state cooperative program, the Quarterly 
Census of Employment and Wages (QCEW) program, also known as the ES-202 program. 
The data are derived from summaries of employment and total pay of workers covered 
by state and federal unemployment insurance (UI) legislation and provided by State 
Workforce Agencies (SWAs). The summaries are a result of the administration of 
state unemployment insurance programs that require most employers to pay quarterly 
taxes based on the employment and wages of workers covered by UI. QCEW data in this 
release are based on the 2012 North American Industry Classification System. Data 
for 2013 are preliminary and subject to revision. 

For purposes of this release, large counties are defined as having employment le-
vels of 75,000 or greater. In addition, data for San Juan, Puerto Rico, are pro-
vided, but not used in calculating U.S. averages, rankings, or in the analysis in 
the text. Each year, these large counties are selected on the basis of the prelimi-
nary annual average of employment for the previous year. The 335 counties presented 
in this release were derived using 2012 preliminary annual averages of employment. 
For 2013 data, six counties have been added to the publication tables: Boone, Ky.; 
Warren, Ohio; Jackson, Ore.; York, S.C.; Midland, Texas; and Potter, Texas. These 
counties will be included in all 2013 quarterly 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' con-
tinuing receipt of UI data over time and ongoing review and editing. The individual 
states determine their data release timetables. 
 
Differences between QCEW, BED, and CES employment measures 

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

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

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

 ---------------------------------------------------------------------------------                                     
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  557,000 establish-
            |  submitted by 9.2   |  ministrative records|  ments
            |  million establish- |  submitted by 6.8    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2013    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -6 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 to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation counts (bench-
            |                     |  losses              |  marking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |  
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal national
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|   
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------  

Coverage 

Employment and wage data for workers covered by state UI laws are compiled from 
quarterly contribution reports submitted to the SWAs by employers. For federal ci-
vilian workers covered by the Unemployment Compensation for Federal Employees 
(UCFE) program, employment and wage data are compiled from quarterly reports sub-
mitted by four major federal payroll processing centers on behalf of all federal 
agencies, with the exception of a few agencies which still report directly to the 
individual SWA. In addition to the quarterly contribution reports, employers who 
operate multiple establishments within a state complete a questionnaire, called the 
"Multiple Worksite Report," which provides detailed information on the location and 
industry of each of their establishments. QCEW employment and wage data are derived 
from microdata summaries of 9.1 million employer reports of employment and wages 
submitted by states to the BLS in 2012. These reports are based on place of employ-
ment rather than place of residence. 

UI and UCFE coverage is broad and has been basically comparable from state to state 
since 1978, when the 1976 amendments to the Federal Unemployment Tax Act became ef-
fective, expanding coverage to include most State and local government employees. 
In 2012, UI and UCFE programs covered workers in 131.7 million jobs. The estimated 
126.9 million workers in these jobs (after adjustment for multiple jobholders) 
represented 95.5 percent of civilian wage and salary employment. Covered workers 
received $6.491 trillion in pay, representing 93.7 percent of the wage and salary 
component of personal income and 40.0 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 domestic workers, most student workers at 
schools, and employees of certain small nonprofit organizations. 

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

Monthly employment is based on the number of workers who worked during or received 
pay for the pay period including the 12th of the month. With few exceptions, all 
employees of covered firms are reported, including production and sales workers, 
corporation officials, executives, supervisory personnel, and clerical workers.  
Workers on paid vacations and part-time workers also are included. 

Average weekly wage values are calculated by dividing quarterly total wages by the 
average of the three monthly employment levels (all employees, as described above) 
and dividing the result by 13, for the 13 weeks in the quarter. These calculations 
are made using unrounded employment and wage values. The average wage values that 
can be calculated using rounded data from the BLS database may differ from the av-
erages reported. Included in the quarterly wage data are non-wage cash payments 
such as bonuses, the cash value of meals and lodging when supplied, tips and other 
gratuities, and, in some states, employer contributions to certain deferred compen-
sation plans such as 401(k) plans and stock options. Over-the-year comparisons of 
average weekly wages may reflect fluctuations in average monthly employment and/or 
total quarterly wages between the current quarter and prior year levels. 

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

Wages measured by QCEW may be subject to periodic and sometimes large fluctuations. 
This variability may be due to calendar effects resulting from some quarters having 
more pay dates than others. The effect is most visible in counties with a dominant 
employer. In particular, this effect has been observed in counties where government 
employers represent a large fraction of overall employment. Similar calendar effects 
can result from private sector pay practices. However, these effects are typically 
less pronounced for two reasons: employment is less concentrated in a single private 
employer, and private employers use a variety of pay period types (weekly, biweekly, 
semimonthly, monthly).

For example, the effect on over-the-year pay comparisons can be pronounced in federal 
government due to the uniform nature of federal payroll processing. Most federal 
employees are paid on a biweekly pay schedule. As a result, in some quarters federal 
wages include six pay dates, while in other quarters there are seven pay dates. Over-
the-year comparisons of average weekly wages may also reflect this calendar effect. 
Growth in average weekly wages may be attributed, in part, to a comparison of 
quarterly wages for the current year, which include seven pay dates, with year-ago 
wages that reflect only six pay dates. An opposite effect will occur when wages in 
the current quarter reflecting six pay dates are compared with year-ago wages for a 
quarter including seven pay dates. 

In order to ensure the highest possible quality of data, states verify with employ-
ers and update, if necessary, the industry, location, and ownership classification 
of all establishments on a 3-year cycle. Changes in establishment classification 
codes resulting from this process are introduced with the data reported for the 
first quarter of the year. Changes resulting from improved employer reporting also 
are introduced in the first quarter. 

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

The over-the-year changes of employment and wages presented in this release have 
been adjusted to account for most of the administrative corrections made to the un-
derlying establishment reports. This is done by modifying the prior-year levels 
used to calculate the over-the-year changes. Percent changes are calculated using 
an adjusted version of the final 2012 quarterly data as the base data. The adjusted 
prior-year levels used to calculate the over-the-year percent change in employment 
and wages are not published. These adjusted prior-year levels do not match the un-
adjusted data maintained on the BLS Web site. Over-the-year change calculations 
based on data from the Web site, or from data published in prior BLS news releases, 
may differ substantially from the over-the-year changes presented in this news re-
lease. 

The adjusted data used to calculate the over-the-year change measures presented in 
this release account for most of the administrative changes--those occurring when 
employers update the industry, location, and ownership information of their estab-
lishments. The most common adjustments for administrative change are the result of 
updated information about the county location of individual establishments. In-
cluded in these adjustments are administrative changes involving the classification 
of establishments that were previously reported in the unknown or statewide county 
or unknown industry categories. Beginning with the first quarter of 2008, adjusted
data account for administrative changes caused by multi-unit employers who start 
reporting for each individual establishment rather than as a single entity. Beginn-
ing with the second quarter of 2011, adjusted data account for selected large admin-
istrative changes in employment and wages. These new adjustments allow QCEW to incl-
ude county employment and wage growth rates in this news release that would other-
wise not meet publication standards.

The adjusted data used to calculate the over-the-year change measures presented in 
any County Employment and Wages news release are valid for comparisons between the 
starting and ending points (a 12-month period) used in that particular release. 
Comparisons may not be valid for any time period other than the one featured in a 
release even if the changes were calculated using adjusted data. 

County definitions are assigned according to Federal Information Processing Stan-
dards Publications (FIPS PUBS) as issued by the National Institute of Standards and 
Technology, after approval by the Secretary of Commerce pursuant to Section 5131 of 
the Information Technology Management Reform Act of 1996 and the Computer Security 
Act of 1987, Public Law 104-106. Areas shown as counties include those designated 
as independent cities in some jurisdictions and, in Alaska, those designated as 
census areas where counties have not been created. County data also are presented 
for the New England states for comparative purposes even though townships are the 
more common designation used in New England (and New Jersey). The regions referred 
to in this release are defined as census regions. 
 
Additional statistics and other information 

Employment and Wages Annual Averages Online features comprehensive information by 
detailed industry on establishments, employment, and wages for the nation and all 
states. The 2012 edition of this publication, which will be available shortly after 
this release, contains selected data produced by Business Employment Dynamics (BED) 
on job gains and losses, as well as selected data from this news release. Tables and 
additional content from Employment and Wages Annual Averages 2012 will be available 
online at http://www.bls.gov/cew/cewbultn12.htm. 

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

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






Table 1. Covered(1) establishments, employment, and wages in the 335 largest counties,
first quarter 2013(2)

                                                   Employment               Average weekly wage(4)

                          Establishments,
        County(3)          first quarter                 Percent   Ranking           Percent   Ranking
                                2013          March      change,      by     First   change,      by
                            (thousands)       2013       March     percent  quarter   first    percent
                                          (thousands) 2012-13(5)   change    2013    quarter    change
                                                                                   2012-13(5)
                                                                                                     
United States(6).........       9,193.5     132,338.9       1.6        -      $989       0.6       - 
                                                                                                     
Jefferson, AL............          17.8         336.6       0.9       199      983       0.5      179
Madison, AL..............           9.0         180.1       1.8       133    1,030       0.3      200
Mobile, AL...............           9.7         163.4       0.0       283      812       2.8       24
Montgomery, AL...........           6.4         128.7       1.7       142      781      -3.1      328
Tuscaloosa, AL...........           4.3          85.7       2.0       117      797      -1.0      299
Anchorage Borough, AK....           8.3         150.7       0.1       273    1,038       1.5       90
Maricopa, AZ.............          94.3       1,710.2       2.6        74      945       0.0      233
Pima, AZ.................          18.9         352.1       0.9       199      809       1.0      133
Benton, AR...............           5.6          98.4       2.7        63    1,339      14.3        2
Pulaski, AR..............          14.5         243.8       0.6       232      853      -0.9      296
                                                                                                     
Washington, AR...........           5.7          93.7       3.1        41      759       1.6       78
Alameda, CA..............          54.6         672.8       3.2        36    1,249      -1.6      311
Contra Costa, CA.........          28.8         328.6       3.0        45    1,251       0.1      216
Fresno, CA...............          29.1         336.5       3.0        45      736       0.3      200
Kern, CA.................          16.8         284.6       3.7        19      848       0.0      233
Los Angeles, CA..........         412.4       4,041.3       2.2       101    1,061      -1.8      317
Marin, CA................          11.6         106.9       2.9        51    1,138       1.2      115
Monterey, CA.............          12.2         156.7       1.8       133      834       0.5      179
Orange, CA...............         102.8       1,433.5       2.8        57    1,086      -0.5      269
Placer, CA...............          10.8         135.9       5.2         7      933       1.4       99
                                                                                                     
Riverside, CA............          48.4         592.6       3.4        29      770       0.1      216
Sacramento, CA...........          49.0         598.0       1.8       133    1,054      -1.7      314
San Bernardino, CA.......          47.4         622.4       2.3        91      791       0.4      192
San Diego, CA............         100.4       1,297.9       2.3        91    1,056      -1.7      314
San Francisco, CA........          54.6         603.8       4.3        11    1,778      -0.7      283
San Joaquin, CA..........          15.9         206.7       2.5        84      785       0.5      179
San Luis Obispo, CA......           9.4         107.1       3.5        25      785       1.9       57
San Mateo, CA............          24.5         349.0       3.4        29    1,859      14.8        1
Santa Barbara, CA........          14.1         183.4       3.3        32      900      -1.9      318
Santa Clara, CA..........          62.0         923.6       3.8        15    1,937      -0.2      249
                                                                                                     
Santa Cruz, CA...........           8.9          91.1       4.2        12      865      -3.4      330
Solano, CA...............           9.6         123.4       3.1        41    1,019       3.6       12
Sonoma, CA...............          18.0         179.5       3.4        29      863       0.7      168
Stanislaus, CA...........          13.7         165.0       3.8        15      791      -1.0      299
Tulare, CA...............           8.7         140.7       1.9       125      649       1.1      122
Ventura, CA..............          23.7         312.6       2.1       107    1,027       0.3      200
Yolo, CA.................           6.1          89.3       1.7       142      977      -2.8      325
Adams, CO................           9.0         169.0       3.7        19      893       1.4       99
Arapahoe, CO.............          19.3         290.4       3.7        19    1,193       1.0      133
Boulder, CO..............          13.3         161.8       2.7        63    1,120      -0.1      243
                                                                                                     
Denver, CO...............          26.8         432.5       4.0        14    1,265       0.0      233
Douglas, CO..............          10.0          99.6       5.6         4    1,109      -1.9      318
El Paso, CO..............          17.0         239.8       2.3        91      858      -0.5      269
Jefferson, CO............          17.9         212.3       2.8        57      946      -2.3      323
Larimer, CO..............          10.3         133.5       3.8        15      824       0.1      216
Weld, CO.................           5.9          88.2       4.4        10      825       0.5      179
Fairfield, CT............          33.1         406.5       0.7       225    1,878      -1.9      318
Hartford, CT.............          25.9         489.0       0.4       250    1,315      -0.5      269
New Haven, CT............          22.7         352.4      -0.2       290    1,013       1.4       99
New London, CT...........           7.0         121.0      -0.7       311      975      -1.1      302
                                                                                                     
New Castle, DE...........          16.7         266.3       1.2       178    1,235      -0.6      279
Washington, DC...........          35.5         717.6       1.0       193    1,613       0.5      179
Alachua, FL..............           6.7         118.3       0.6       232      769       1.7       71
Brevard, FL..............          14.7         189.3       0.4       250      848      -0.5      269
Broward, FL..............          64.7         716.3       2.4        86      878       0.1      216
Collier, FL..............          12.2         127.3       2.3        91      823       1.4       99
Duval, FL................          27.5         446.5       2.4        86      963       1.4       99
Escambia, FL.............           8.0         121.4       1.4       164      722      -0.1      243
Hillsborough, FL.........          38.8         603.7       2.1       107      925       0.4      192
Lake, FL.................           7.4          83.9       2.7        63      624       1.1      122
                                                                                                     
Lee, FL..................          19.3         213.9       2.7        63      738       0.3      200
Leon, FL.................           8.3         136.8      -0.3       295      748      -0.5      269
Manatee, FL..............           9.5         108.2       2.1       107      705       0.1      216
Marion, FL...............           8.0          91.7       0.9       199      649       1.1      122
Miami-Dade, FL...........          92.2       1,016.2       2.6        74      912       0.9      141
Okaloosa, FL.............           6.1          77.3       0.2       269      780       0.8      154
Orange, FL...............          37.1         703.5       3.2        36      846       0.1      216
Palm Beach, FL...........          50.7         525.7       2.8        57      936       0.5      179
Pasco, FL................          10.1         100.8       1.4       164      638       1.9       57
Pinellas, FL.............          31.1         390.4       1.9       125      823      -0.8      290
                                                                                                     
Polk, FL.................          12.5         196.9       1.6       150      706       1.1      122
Sarasota, FL.............          14.6         144.3       3.2        36      763       0.5      179
Seminole, FL.............          14.0         159.3       1.5       156      792       2.1       47
Volusia, FL..............          13.4         154.0       0.9       199      659       0.2      210
Bibb, GA.................           4.5          79.2      -0.2       290      745       2.1       47
Chatham, GA..............           7.9         135.6       2.6        74      810       0.2      210
Clayton, GA..............           4.3         110.1       0.0       283      920       6.7        4
Cobb, GA.................          21.9         309.1       2.0       117    1,092       1.8       65
De Kalb, GA..............          18.1         272.1       0.4       250    1,011      -0.5      269
Fulton, GA...............          42.4         736.5       3.3        32    1,419      -0.7      283
                                                                                                     
Gwinnett, GA.............          24.4         307.0       1.6       150      953       1.6       78
Muscogee, GA.............           4.7          93.6      -0.5       305      784       0.9      141
Richmond, GA.............           4.7          99.6       0.8       212      794       0.0      233
Honolulu, HI.............          24.7         451.1       2.1       107      878       1.0      133
Ada, ID..................          13.6         202.2       3.5        25      805      -0.4      259
Champaign, IL............           4.3          87.7       0.8       212      826       4.0       11
Cook, IL.................         151.0       2,394.0       1.2       178    1,185      -1.0      299
Du Page, IL..............          37.7         581.2       1.7       142    1,160      -0.1      243
Kane, IL.................          13.5         195.9       1.0       193      823       2.1       47
Lake, IL.................          22.4         316.8       0.9       199    1,379       3.1       19
                                                                                                     
McHenry, IL..............           8.7          90.8      -0.4       299      781       2.0       54
McLean, IL...............           3.8          84.7       0.9       199    1,059      11.8        3
Madison, IL..............           6.0          94.4       0.0       283      787       1.3      108
Peoria, IL...............           4.7         101.5      -1.8       329      973      -5.5      332
St. Clair, IL............           5.6          92.2      -1.4       324      752      -0.4      259
Sangamon, IL.............           5.3         123.1      -2.4       334      962       2.2       46
Will, IL.................          15.5         202.5       0.4       250      827       0.7      168
Winnebago, IL............           6.9         122.4      -1.5       326      814       0.0      233
Allen, IN................           9.0         172.3       0.5       243      809      -0.4      259
Elkhart, IN..............           4.8         113.3       6.0         3      756       0.9      141
                                                                                                     
Hamilton, IN.............           8.7         116.1       2.6        74      983       2.9       23
Lake, IN.................          10.4         186.9       0.7       225      869       2.4       39
Marion, IN...............          24.0         563.3       1.2       178    1,052       2.6       31
St. Joseph, IN...........           6.0         114.3      -0.5       305      768       1.2      115
Tippecanoe, IN...........           3.3          78.3      -0.4       299      818      -0.8      290
Vanderburgh, IN..........           4.8         103.7      -2.0       333      776       1.3      108
Johnson, IA..............           3.8          78.7       2.2       101      845       1.1      122
Linn, IA.................           6.4         124.9      -0.4       299      926       2.4       39
Polk, IA.................          15.4         271.3       1.8       133    1,014       1.5       90
Scott, IA................           5.4          87.0       0.8       212      770       0.8      154
                                                                                                     
Johnson, KS..............          20.7         314.6       2.7        63    1,018      -0.1      243
Sedgwick, KS.............          12.1         240.1       0.7       225      867      -1.6      311
Shawnee, KS..............           4.7          94.5      -0.2       290      807       1.6       78
Wyandotte, KS............           3.2          81.2       0.7       225      891      -0.8      290
Boone, KY................           3.9          76.1       1.3       172      817       0.4      192
Fayette, KY..............           9.9         178.3       2.0       117      844      -0.6      279
Jefferson, KY............          23.3         427.0       2.3        91      962       0.7      168
Caddo, LA................           7.4         117.1      -1.6       327      760      -0.7      283
Calcasieu, LA............           4.9          85.5       2.2       101      831       0.5      179
East Baton Rouge, LA.....          14.5         262.3       1.4       164      907       2.8       24
                                                                                                     
Jefferson, LA............          13.6         191.2       0.0       283      856      -0.3      254
Lafayette, LA............           9.1         139.4       2.7        63      913       0.0      233
Orleans, LA..............          11.1         178.7       2.3        91      965      -1.5      310
St. Tammany, LA..........           7.5          79.9       2.1       107      843       2.8       24
Cumberland, ME...........          12.6         165.8       0.6       232      896       3.5       15
Anne Arundel, MD.........          14.9         247.2       1.8       133    1,065      -0.2      249
Baltimore, MD............          21.5         359.3       0.8       212      976       0.6      176
Frederick, MD............           6.3          94.1       0.8       212      946      -0.9      296
Harford, MD..............           5.7          87.6       0.3       260      917       2.5       36
Howard, MD...............           9.5         157.0       0.6       232    1,188       0.1      216
                                                                                                     
Montgomery, MD...........          33.8         448.2       0.3       260    1,317      -3.1      328
Prince Georges, MD.......          15.9         299.0      -0.2       290      988       0.2      210
Baltimore City, MD.......          14.1         331.4       0.8       212    1,161      -1.2      304
Barnstable, MA...........           8.9          81.4       1.4       164      816       0.9      141
Bristol, MA..............          16.2         208.9       0.0       283      850       0.8      154
Essex, MA................          21.9         300.0       0.3       260    1,021       1.7       71
Hampden, MA..............          15.6         194.1      -0.4       299      899       4.8        7
Middlesex, MA............          49.5         823.8       1.5       156    1,465       0.4      192
Norfolk, MA..............          23.5         321.6       1.5       156    1,137       0.4      192
Plymouth, MA.............          14.1         173.6       1.6       150      878       2.3       42
                                                                                                     
Suffolk, MA..............          23.9         598.8       1.7       142    1,698      -0.7      283
Worcester, MA............          21.6         316.7       0.1       273      952       0.8      154
Genesee, MI..............           7.3         131.0       1.3       172      776      -2.3      323
Ingham, MI...............           6.4         149.8       0.8       212      949       2.5       36
Kalamazoo, MI............           5.4         109.9       0.2       269      907       3.3       17
Kent, MI.................          14.2         341.8       3.0        45      839      -1.4      308
Macomb, MI...............          17.5         297.2       3.1        41      974      -0.1      243
Oakland, MI..............          38.7         668.9       2.7        63    1,072      -0.8      290
Ottawa, MI...............           5.7         107.8       2.7        63      755       1.2      115
Saginaw, MI..............           4.2          82.0       0.1       273      780       2.8       24
                                                                                                     
Washtenaw, MI............           8.3         196.7       2.3        91      989       0.8      154
Wayne, MI................          31.7         681.6       0.9       199    1,053      -1.3      307
Anoka, MN................           7.2         111.7       3.0        45      873       0.1      216
Dakota, MN...............          10.0         172.9       2.1       107      965       1.6       78
Hennepin, MN.............          42.3         846.0       2.6        74    1,274      -0.2      249
Olmsted, MN..............           3.5          91.3       2.4        86    1,005       0.2      210
Ramsey, MN...............          13.9         315.3       1.9       125    1,169       4.4       10
St. Louis, MN............           5.6          93.7       2.5        84      788       0.9      141
Stearns, MN..............           4.4          79.7       1.1       186      748       1.8       65
Harrison, MS.............           4.4          82.2       0.3       260      703       0.7      168
                                                                                                     
Hinds, MS................           6.0         120.3      -0.7       311      814       1.2      115
Boone, MO................           4.6          87.3       2.0       117      739       2.1       47
Clay, MO.................           5.2          87.2      -0.6       309      858       1.5       90
Greene, MO...............           8.1         153.1       0.8       212      711       0.9      141
Jackson, MO..............          19.0         346.9       0.8       212      983       1.3      108
St. Charles, MO..........           8.4         127.7       2.0       117      793      -0.4      259
St. Louis, MO............          32.7         563.9       0.8       212    1,031      -0.5      269
St. Louis City, MO.......           9.7         221.2       0.2       269    1,120       0.2      210
Yellowstone, MT..........           6.2          76.7       2.1       107      783       1.4       99
Douglas, NE..............          18.0         315.3       1.2       178      914       1.9       57
                                                                                                     
Lancaster, NE............           9.6         157.4       1.0       193      760       1.6       78
Clark, NV................          49.9         828.7       2.6        74      831      -0.6      279
Washoe, NV...............          13.7         183.9       1.8       133      832       0.5      179
Hillsborough, NH.........          12.0         187.9       0.6       232    1,042       0.8      154
Rockingham, NH...........          10.5         132.9       0.9       199      917       2.6       31
Atlantic, NJ.............           6.6         128.5      -1.4       324      796      -0.7      283
Bergen, NJ...............          32.9         425.5       1.0       193    1,187      -1.7      314
Burlington, NJ...........          11.0         196.4       2.6        74    1,013       1.0      133
Camden, NJ...............          12.0         193.8       0.5       243      962       1.4       99
Essex, NJ................          20.4         335.1       0.3       260    1,326       0.8      154
                                                                                                     
Gloucester, NJ...........           6.1          96.4       0.1       273      823       1.6       78
Hudson, NJ...............          14.0         235.0       1.4       164    1,521       0.3      200
Mercer, NJ...............          10.9         229.5       0.3       260    1,477       6.4        6
Middlesex, NJ............          21.7         386.6       1.0       193    1,257      -5.8      333
Monmouth, NJ.............          19.9         237.8       0.5       243      985       1.8       65
Morris, NJ...............          17.1         272.5       0.6       232    1,582       0.0      233
Ocean, NJ................          12.3         147.0       1.9       125      786       1.3      108
Passaic, NJ..............          12.2         167.8      -0.7       311      964       1.2      115
Somerset, NJ.............          10.1         173.0       1.1       186    2,009       6.7        4
Union, NJ................          14.3         221.2       1.3       172    1,249      -0.8      290
                                                                                                     
Bernalillo, NM...........          17.8         307.4       0.5       243      829       0.1      216
Albany, NY...............          10.1         221.0       1.2       178      998       2.6       31
Bronx, NY................          17.3         240.9       2.2       101      864       1.2      115
Broome, NY...............           4.6          87.9      -1.9       331      734       0.8      154
Dutchess, NY.............           8.3         109.5      -0.6       309      958       0.1      216
Erie, NY.................          24.1         450.6       0.3       260      853       1.1      122
Kings, NY................          54.8         527.5       1.7       142      750       0.8      154
Monroe, NY...............          18.4         370.8      -0.2       290      903       1.5       90
Nassau, NY...............          53.0         587.1       0.8       212    1,078       0.9      141
New York, NY.............         124.7       2,403.9       1.7       142    2,448      -0.5      269
                                                                                                     
Oneida, NY...............           5.3         102.1      -1.8       329      761       3.0       21
Onondaga, NY.............          13.0         238.5       0.1       273      882       0.9      141
Orange, NY...............           9.9         130.7       0.5       243      789       0.0      233
Queens, NY...............          48.3         525.3       2.2       101      894       1.7       71
Richmond, NY.............           9.2          93.4       2.8        57      784       0.9      141
Rockland, NY.............          10.0         114.1      -0.3       295    1,042      -0.6      279
Saratoga, NY.............           5.6          77.2       1.8       133      861       3.1       19
Suffolk, NY..............          51.2         614.8       0.6       232    1,033      -1.1      302
Westchester, NY..........          36.2         399.8      -0.4       299    1,370      -2.8      325
Buncombe, NC.............           7.9         115.4       3.0        45      717       0.8      154
                                                                                                     
Catawba, NC..............           4.3          79.9       1.1       186      709       1.6       78
Cumberland, NC...........           6.2         118.6      -0.8       316      748       1.8       65
Durham, NC...............           7.3         182.4       2.0       117    1,319      -2.2      322
Forsyth, NC..............           8.9         175.9       1.7       142      927      -1.2      304
Guilford, NC.............          14.0         266.7       1.5       156      867       1.8       65
Mecklenburg, NC..........          32.5         579.2       3.0        45    1,315       3.0       21
New Hanover, NC..........           7.3          98.0       1.2       178      762       2.3       42
Wake, NC.................          29.4         465.9       3.2        36      989       1.4       99
Cass, ND.................           6.2         107.3       3.5        25      837       1.1      122
Butler, OH...............           7.5         136.4       0.4       250      848       1.8       65
                                                                                                     
Cuyahoga, OH.............          35.6         696.5       0.9       199    1,012       0.6      176
Delaware, OH.............           4.4          78.5       2.3        91    1,084       0.9      141
Franklin, OH.............          29.7         674.8       1.9       125      985       1.2      115
Hamilton, OH.............          23.1         485.2       0.1       273    1,109       1.6       78
Lake, OH.................           6.3          91.6      -0.3       295      825       3.4       16
Lorain, OH...............           6.1          92.4      -1.0       317      794      -0.4      259
Lucas, OH................          10.1         198.3      -0.3       295      852       1.1      122
Mahoning, OH.............           5.9          96.1       0.4       250      671       0.1      216
Montgomery, OH...........          12.0         239.7      -0.5       305      836       0.8      154
Stark, OH................           8.8         153.2       0.9       199      737      -0.9      296
                                                                                                     
Summit, OH...............          14.2         251.4      -0.1       289      895       0.3      200
Warren, OH...............           4.3          76.3       0.8       212      835       1.7       71
Oklahoma, OK.............          25.3         431.9       1.3       172      935       1.7       71
Tulsa, OK................          20.9         334.7       1.4       164      932       2.5       36
Clackamas, OR............          13.1         141.0       2.9        51      849       0.6      176
Jackson, OR..............           6.7          76.5       3.3        32      696       1.5       90
Lane, OR.................          11.0         137.1       1.3       172      717       1.1      122
Marion, OR...............           9.6         130.8       2.3        91      739       1.5       90
Multnomah, OR............          30.7         445.6       2.0       117      986       0.8      154
Washington, OR...........          17.1         250.5       1.8       133    1,161      -3.5      331
                                                                                                     
Allegheny, PA............          35.0         678.0       0.5       243    1,080       1.9       57
Berks, PA................           8.9         163.5       0.6       232      835       0.2      210
Bucks, PA................          19.5         245.2       0.0       283      906       1.3      108
Butler, PA...............           4.9          83.2      -0.7       311      894       2.3       42
Chester, PA..............          15.2         236.6       0.5       243    1,240      -1.4      308
Cumberland, PA...........           6.0         123.3       1.1       186      894       2.1       47
Dauphin, PA..............           7.3         175.0       0.2       269      989       2.6       31
Delaware, PA.............          13.8         209.0       0.7       225    1,057      -1.2      304
Erie, PA.................           7.1         122.1      -1.3       323      758       1.6       78
Lackawanna, PA...........           5.8          96.3       0.1       273      721       0.3      200
                                                                                                     
Lancaster, PA............          12.8         217.5       0.4       250      787       1.7       71
Lehigh, PA...............           8.6         175.3       0.7       225      944      -0.4      259
Luzerne, PA..............           7.6         137.4      -0.4       299      746       0.5      179
Montgomery, PA...........          27.1         464.6       0.4       250    1,290      -0.5      269
Northampton, PA..........           6.6         103.1       0.9       199      844       1.6       78
Philadelphia, PA.........          34.9         634.0       0.7       225    1,158       0.8      154
Washington, PA...........           5.4          84.3       0.1       273      991       0.3      200
Westmoreland, PA.........           9.3         130.4      -1.0       317      760       0.1      216
York, PA.................           8.9         168.9      -0.7       311      838       1.3      108
Providence, RI...........          17.4         266.9       0.3       260      999       2.7       28
                                                                                                     
Charleston, SC...........          12.2         215.3       1.9       125      839       1.0      133
Greenville, SC...........          12.4         234.7       2.1       107      834       0.5      179
Horry, SC................           7.7         107.1       2.1       107      564       0.9      141
Lexington, SC............           5.8         100.6       2.7        63      715       2.6       31
Richland, SC.............           9.0         205.5       0.8       212      835       1.5       90
Spartanburg, SC..........           5.8         118.5       2.1       107      794      -0.3      254
York, SC.................           4.7          75.9       1.3       172      762       0.1      216
Minnehaha, SD............           6.6         116.0       2.3        91      809       1.3      108
Davidson, TN.............          18.7         435.7       2.4        86    1,008      -0.3      254
Hamilton, TN.............           8.6         185.3       1.0       193      838      -0.8      290
                                                                                                     
Knox, TN.................          11.0         218.4       0.3       260      831       3.6       12
Rutherford, TN...........           4.6         106.7       5.3         6      815      -0.2      249
Shelby, TN...............          19.3         471.0       1.1       186      979       0.1      216
Williamson, TN...........           6.6         100.7       3.8        15    1,201       4.6        8
Bell, TX.................           4.9         109.2       1.2       178      788       1.9       57
Bexar, TX................          35.8         764.9       2.9        51      891       0.7      168
Brazoria, TX.............           5.1          94.7       2.8        57      966       3.2       18
Brazos, TX...............           4.0          91.3       4.7         9      696      -0.1      243
Cameron, TX..............           6.3         131.0       0.6       232      573       1.1      122
Collin, TX...............          19.9         320.4       3.7        19    1,173      -2.9      327
                                                                                                     
Dallas, TX...............          69.7       1,473.4       2.9        51    1,215       0.4      192
Denton, TX...............          11.9         190.8       3.5        25      868       2.7       28
El Paso, TX..............          14.2         280.1       1.5       156      664      -0.4      259
Fort Bend, TX............          10.2         153.7       7.0         1    1,029       0.1      216
Galveston, TX............           5.6          98.0       2.7        63      882       2.1       47
Gregg, TX................           4.2          78.0       1.6       150      845      -1.9      318
Harris, TX...............         104.9       2,163.6       3.7        19    1,333      -0.4      259
Hidalgo, TX..............          11.6         234.6       1.9       125      580       0.0      233
Jefferson, TX............           5.8         119.3      -1.9       331      979      -0.5      269
Lubbock, TX..............           7.1         127.4       2.6        74      714       2.1       47
                                                                                                     
McLennan, TX.............           4.9         101.6       1.2       178      767       0.3      200
Midland, TX..............           5.1          82.9       6.9         2    1,207       0.5      179
Montgomery, TX...........           9.5         146.8       5.0         8      998       1.0      133
Nueces, TX...............           8.0         160.2       3.2        36      835       2.0       54
Potter, TX...............           3.9          76.9       1.5       156      755       0.4      192
Smith, TX................           5.8          94.3       1.6       150      763       0.1      216
Tarrant, TX..............          39.1         795.6       2.4        86      960       0.7      168
Travis, TX...............          33.1         625.3       4.1        13    1,058      -0.4      259
Webb, TX.................           5.0          91.9       1.5       156      632       1.0      133
Williamson, TX...........           8.2         136.7       3.3        32    1,053     -13.4      334
                                                                                                     
Davis, UT................           7.4         107.2       2.2       101      769       0.7      168
Salt Lake, UT............          38.1         598.8       3.6        24      916       0.5      179
Utah, UT.................          13.1         181.3       5.5         5      729       0.8      154
Weber, UT................           5.4          92.8       2.6        74      687       0.1      216
Chittenden, VT...........           6.2          96.3       0.1       273      930       1.6       78
Arlington, VA............           8.8         164.7      -1.6       327    1,621      -0.3      254
Chesterfield, VA.........           8.0         119.1       2.6        74      860       1.4       99
Fairfax, VA..............          35.5         586.2       0.9       199    1,565       0.4      192
Henrico, VA..............          10.4         178.9       1.6       150    1,039       1.0      133
Loudoun, VA..............          10.3         143.7       2.9        51    1,198       2.4       39
                                                                                                     
Prince William, VA.......           8.2         115.1       2.9        51      831      -0.4      259
Alexandria City, VA......           6.4          95.4       1.4       164    1,296       0.7      168
Chesapeake City, VA......           5.8          94.7       0.4       250      764       1.9       57
Newport News City, VA....           3.7          96.6       0.9       199      962       3.6       12
Norfolk City, VA.........           5.7         135.8      -1.1       320      936       1.5       90
Richmond City, VA........           7.1         146.8      -0.5       305    1,111      -0.7      283
Virginia Beach City, VA..          11.4         165.8       1.7       142      755       0.3      200
Benton, WA...............           5.9          77.4      -1.2       322      948      -0.7      283
Clark, WA................          14.1         131.0       2.7        63      867       1.9       57
King, WA.................          84.1       1,175.0       3.1        41    1,288       1.6       78
                                                                                                     
Kitsap, WA...............           6.8          79.3       0.1       273      876       0.9      141
Pierce, WA...............          22.3         264.9       1.4       164      864       2.7       28
Snohomish, WA............          19.9         260.2       2.8        57    1,085       1.7       71
Spokane, WA..............          16.3         199.6       2.0       117      814       0.9      141
Thurston, WA.............           7.8          98.6       1.8       133      846       2.3       42
Whatcom, WA..............           7.1          81.0       0.4       250      802       1.1      122
Yakima, WA...............           9.1          96.0       1.9       125      641       1.9       57
Kanawha, WV..............           6.0         103.9      -1.1       320      821      -1.6      311
Brown, WI................           6.5         144.7       0.6       232      838      -0.2      249
Dane, WI.................          14.2         303.7       1.1       186      938      -0.3      254
                                                                                                     
Milwaukee, WI............          23.7         469.8       0.6       232      975       0.0      233
Outagamie, WI............           5.0         100.8       1.5       156      805       2.0       54
Waukesha, WI.............          12.5         224.5       1.1       186      971       1.5       90
Winnebago, WI............           3.6          88.3      -1.0       317      909       4.6        8
San Juan, PR.............          11.2         260.7      -1.0       (7)      617      -0.3      (7)

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 334 U.S. counties comprise 71.6 percent of the total covered workers
in the U.S.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(7) This county was not included in the U.S. rankings.






Table 2. Covered(1) establishments, employment, and wages in the 10 largest counties,
first quarter 2013(2)

                                                                    Employment         Average weekly
                                                                                           wage(3)
                                              Establishments,
                                               first quarter 
         County by NAICS supersector                2013                    Percent            Percent
                                                (thousands)       March     change,    First   change,
                                                                  2013       March    quarter   first
                                                              (thousands) 2012-13(4)   2013    quarter
                                                                                             2012-13(4)


United States(5) ............................       9,193.5     132,338.9       1.6     $989       0.6
  Private industry...........................       8,899.6     110,877.4       2.0      995       0.5
    Natural resources and mining.............         132.2       1,880.6       1.8    1,190      -0.3
    Construction.............................         745.2       5,476.8       3.4      979       0.9
    Manufacturing............................         335.3      11,908.5       0.9    1,227       0.1
    Trade, transportation, and utilities.....       1,897.2      25,080.6       1.3      819       0.9
    Information..............................         143.8       2,682.6       0.1    1,772       3.6
    Financial activities.....................         815.6       7,539.8       1.8    1,924       1.1
    Professional and business services.......       1,622.7      18,132.5       2.9    1,288      -0.6
    Education and health services............       1,415.9      20,157.2       1.9      837       1.2
    Leisure and hospitality..................         777.2      13,703.0       2.8      382      -0.3
    Other services...........................         794.2       4,100.7       0.6      620       1.5
  Government.................................         293.9      21,461.5      -0.4      958       0.9

Los Angeles, CA..............................         412.4       4,041.3       2.2    1,061      -1.8
  Private industry...........................         406.7       3,503.8       2.9    1,037      -2.1
    Natural resources and mining.............           0.4          10.3       7.5    1,615      -7.1
    Construction.............................          12.2         112.7       5.6    1,039       0.7
    Manufacturing............................          12.5         365.4      -0.3    1,219       0.3
    Trade, transportation, and utilities.....          51.7         761.6       1.8      851       0.2
    Information..............................           8.4         193.9       3.7    1,922      -7.0
    Financial activities.....................          22.3         210.4       0.7    1,931      -3.0
    Professional and business services.......          43.1         581.0       2.6    1,297      -2.2
    Education and health services............         179.3         690.5       5.2      782      -2.1
    Leisure and hospitality..................          27.9         424.0       4.7      541      -3.4
    Other services...........................          25.2         138.8      -2.6      635       3.3
  Government.................................           5.7         537.5      -2.3    1,216       0.4

Cook, IL.....................................         151.0       2,394.0       1.2    1,185      -1.0
  Private industry...........................         149.6       2,095.7       1.4    1,191      -1.2
    Natural resources and mining.............           0.1           0.7      -6.4      823      -5.0
    Construction.............................          12.4          56.2      -0.3    1,297      -0.6
    Manufacturing............................           6.6         187.1      -1.4    1,171      -0.5
    Trade, transportation, and utilities.....          29.7         443.3       1.9      900      -0.2
    Information..............................           2.7          53.7      -1.4    1,958       3.5
    Financial activities.....................          15.6         181.8      -0.7    2,788      -5.0
    Professional and business services.......          32.0         420.6       2.8    1,524      -0.2
    Education and health services............          15.9         415.6       1.4      872       1.0
    Leisure and hospitality..................          13.4         238.9       3.1      447      -2.2
    Other services...........................          16.5          94.1      -0.9      819       2.9
  Government.................................           1.4         298.3      -0.2    1,140       0.5

New York, NY.................................         124.7       2,403.9       1.7    2,448      -0.5
  Private industry...........................         124.4       1,965.8       2.0    2,744      -0.8
    Natural resources and mining.............           0.0           0.1       8.8    2,201     -20.4
    Construction.............................           2.1          32.7       7.3    1,674       1.9
    Manufacturing............................           2.3          25.5      -0.7    1,488      -8.3
    Trade, transportation, and utilities.....          20.9         251.2       1.8    1,318      -1.3
    Information..............................           4.4         139.5       1.1    2,939       3.3
    Financial activities.....................          18.9         348.1      -1.1    7,659       2.3
    Professional and business services.......          26.0         494.3       3.0    2,444      -4.4
    Education and health services............           9.4         318.0       2.4    1,175       4.4
    Leisure and hospitality..................          13.1         254.6       1.8      791       0.1
    Other services...........................          19.5          93.8       3.3    1,040      -0.2
  Government.................................           0.3         438.1       0.2    1,119       0.5

Harris, TX...................................         104.9       2,163.6       3.7    1,333      -0.4
  Private industry...........................         104.4       1,906.2       4.1    1,376      -0.8
    Natural resources and mining.............           1.7          92.2       8.0    3,984      -5.8
    Construction.............................           6.5         145.9       6.3    1,258       3.7
    Manufacturing............................           4.6         193.0       4.6    1,641      -1.2
    Trade, transportation, and utilities.....          23.6         444.5       3.2    1,248      -0.9
    Information..............................           1.2          28.0      -4.0    1,455       2.5
    Financial activities.....................          10.8         114.6       2.5    1,967       2.1
    Professional and business services.......          21.0         370.4       4.7    1,526      -1.9
    Education and health services............          14.4         258.8       3.2      936       1.2
    Leisure and hospitality..................           8.7         197.6       4.7      410      -2.6
    Other services...........................          11.3          60.1       3.9      712       0.1
  Government.................................           0.5         257.4       0.7    1,016       2.0

Maricopa, AZ.................................          94.3       1,710.2       2.6      945       0.0
  Private industry...........................          93.6       1,501.1       2.9      953       0.0
    Natural resources and mining.............           0.5           8.3       3.5    1,180      -7.3
    Construction.............................           7.4          88.2       6.2      940       0.6
    Manufacturing............................           3.1         113.2       1.4    1,473      -3.0
    Trade, transportation, and utilities.....          20.7         335.9       0.3      871      -2.0
    Information..............................           1.6          31.5       2.6    1,289       2.2
    Financial activities.....................          10.7         148.7       5.5    1,439       4.9
    Professional and business services.......          21.7         283.9       4.2    1,004       0.3
    Education and health services............          10.6         251.4       2.0      892      -0.7
    Leisure and hospitality..................           7.3         188.6       3.1      433       0.7
    Other services...........................           6.4          47.2       0.3      620       1.8
  Government.................................           0.7         209.1       0.4      889       0.6

Dallas, TX...................................          69.7       1,473.4       2.9    1,215       0.4
  Private industry...........................          69.2       1,310.3       3.3    1,237       0.2
    Natural resources and mining.............           0.6           9.0       7.1    4,291     -17.9
    Construction.............................           3.9          70.0       5.9    1,041       3.8
    Manufacturing............................           2.7         110.0      -1.4    1,547       2.1
    Trade, transportation, and utilities.....          15.1         294.6       2.5    1,038      -1.3
    Information..............................           1.5          46.6       3.4    2,323       4.8
    Financial activities.....................           8.5         145.8       4.0    1,921       2.0
    Professional and business services.......          15.4         286.2       4.4    1,314      -0.5
    Education and health services............           8.5         174.0       3.4    1,006       1.0
    Leisure and hospitality..................           6.0         134.9       4.2      472      -3.3
    Other services...........................           6.6          38.6       1.8      714       3.0
  Government.................................           0.5         163.1      -0.3    1,039       1.6

Orange, CA...................................         102.8       1,433.5       2.8    1,086      -0.5
  Private industry...........................         101.5       1,291.0       3.2    1,064      -0.2
    Natural resources and mining.............           0.2           3.5       5.2      664     -11.5
    Construction.............................           6.0          73.7       7.2    1,120       0.4
    Manufacturing............................           4.8         157.1       0.2    1,357      -0.3
    Trade, transportation, and utilities.....          16.3         248.3       1.9      979      -0.1
    Information..............................           1.2          24.9       1.5    1,730       3.6
    Financial activities.....................           9.7         111.7       4.8    1,789       0.2
    Professional and business services.......          19.1         262.0       3.2    1,235       0.1
    Education and health services............          23.3         179.4       3.6      861      -1.1
    Leisure and hospitality..................           7.5         185.2       4.9      432      -2.0
    Other services...........................           6.1          40.1      -0.8      622       2.1
  Government.................................           1.3         142.5      -0.8    1,288      -1.7

San Diego, CA................................         100.4       1,297.9       2.3    1,056      -1.7
  Private industry...........................          99.0       1,079.3       2.8    1,032      -1.7
    Natural resources and mining.............           0.7          10.0      -2.5      577       0.7
    Construction.............................           5.9          58.7       5.4    1,030      -3.3
    Manufacturing............................           2.9          94.6       0.3    1,533      -1.0
    Trade, transportation, and utilities.....          13.8         207.4       2.0      867       3.0
    Information..............................           1.1          24.0      -1.3    1,615      -3.2
    Financial activities.....................           8.5          71.0       3.2    1,542      -1.5
    Professional and business services.......          16.5         225.3       3.5    1,433      -4.8
    Education and health services............          29.2         177.6       2.4      859       0.1
    Leisure and hospitality..................           7.3         161.5       3.7      425      -1.2
    Other services...........................           6.5          44.5       1.5      556       1.1
  Government.................................           1.4         218.6      -0.1    1,179      -0.8

King, WA.....................................          84.1       1,175.0       3.1    1,288       1.6
  Private industry...........................          83.6       1,017.5       3.6    1,308       1.6
    Natural resources and mining.............           0.4           2.5      -5.5    1,708      20.5
    Construction.............................           5.3          49.9      11.2    1,164       0.6
    Manufacturing............................           2.2         104.1       3.3    1,738       1.1
    Trade, transportation, and utilities.....          14.3         214.6       4.4    1,109       2.5
    Information..............................           1.8          80.6       0.9    2,507      -1.5
    Financial activities.....................           6.3          64.0       2.7    1,852       3.6
    Professional and business services.......          14.1         193.6       4.6    1,586       2.7
    Education and health services............          25.1         154.8       0.9      890       1.9
    Leisure and hospitality..................           6.4         114.3       4.2      453       1.8
    Other services...........................           7.8          38.8       1.8      792       3.3
  Government.................................           0.5         157.5       0.2    1,162       2.1

Miami-Dade, FL...............................          92.2       1,016.2       2.6      912       0.9
  Private industry...........................          91.9         878.0       3.0      897       0.8
    Natural resources and mining.............           0.5           9.4      -7.2      525      10.1
    Construction.............................           5.2          31.7       7.8      814      -4.9
    Manufacturing............................           2.6          35.4      -1.3      872       2.2
    Trade, transportation, and utilities.....          27.2         258.4       2.2      841       0.8
    Information..............................           1.5          17.3       2.2    1,471       1.4
    Financial activities.....................           9.4          67.8       2.9    1,632       5.4
    Professional and business services.......          19.3         136.5       5.1    1,066      -2.4
    Education and health services............          10.2         159.4       1.0      887       1.4
    Leisure and hospitality..................           7.0         124.8       5.3      514      -0.2
    Other services...........................           8.1          36.4       3.4      552       2.0
  Government.................................           0.3         138.2      -0.1    1,012       2.3
 
(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.
(2) Data are preliminary. Counties selected are based on 2012 annual average employment.
(3) Average weekly wages were calculated using unrounded data.
(4) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(5) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.






Table 3. Covered(1) establishments, employment, and wages by state,
first quarter 2013(2)

                                                  Employment        Average weekly
                                                                        wage(3)
                            Establishments,
                             first quarter
            State                 2013                    Percent           Percent
                              (thousands)       March     change,    First  change,
                                                2013       March    quarter  first
                                            (thousands)   2012-13    2013   quarter
                                                                            2012-13
                                                                                   
United States(4)...........       9,193.5     132,338.9       1.6     $989      0.6
                                                                                   
Alabama....................         117.4       1,840.4       1.0      812      0.5
Alaska.....................          21.8         317.9       0.5      988      1.5
Arizona....................         146.8       2,494.6       2.2      891      0.6
Arkansas...................          86.6       1,151.1       0.0      765      2.4
California.................       1,315.6      15,168.9       3.0    1,116     -0.2
Colorado...................         173.7       2,298.0       3.0    1,004      0.1
Connecticut................         112.3       1,618.4       0.4    1,319     -0.5
Delaware...................          27.8         403.7       1.4    1,070     -0.2
District of Columbia.......          35.5         717.6       1.0    1,613      0.5
Florida....................         621.6       7,540.7       2.2      843      0.7
                                                                                   
Georgia....................         273.7       3,878.7       1.8      940      1.0
Hawaii.....................          38.6         616.3       2.4      842      1.2
Idaho......................          53.2         613.4       3.0      695      0.6
Illinois...................         398.1       5,601.4       0.7    1,058     -0.2
Indiana....................         160.6       2,808.1       1.1      832      1.2
Iowa.......................          96.9       1,463.2       1.0      799      1.8
Kansas.....................          83.9       1,322.0       0.7      807      0.4
Kentucky...................         115.1       1,765.2       0.9      791      0.8
Louisiana..................         127.1       1,885.8       1.0      847      1.3
Maine......................          49.4         561.6       0.0      771      1.8
                                                                                   
Maryland...................         170.0       2,509.0       0.8    1,066     -0.6
Massachusetts..............         222.9       3,218.5       1.0    1,236      0.7
Michigan...................         239.1       3,950.7       2.1      922      0.3
Minnesota..................         170.2       2,632.9       1.9    1,002      1.2
Mississippi................          70.0       1,088.9       0.4      696      1.2
Missouri...................         179.8       2,610.3       0.7      842      0.6
Montana....................          42.9         427.4       1.9      707      0.1
Nebraska...................          68.7         914.9       1.0      777      1.7
Nevada.....................          74.2       1,144.1       2.3      844     -0.2
New Hampshire..............          48.9         606.0       0.7      938      1.6
                                                                                   
New Jersey.................         262.7       3,780.4       1.1    1,234      0.6
New Mexico.................          55.8         784.7       0.6      778     -0.6
New York...................         612.6       8,565.7       1.0    1,362      0.4
North Carolina.............         255.1       3,934.4       1.6      884      1.7
North Dakota...............          30.2         415.0       4.4      885      3.1
Ohio.......................         287.7       5,004.8       0.7      884      1.1
Oklahoma...................         105.3       1,551.3       1.2      823      2.4
Oregon.....................         136.1       1,644.4       1.9      864      0.0
Pennsylvania...............         348.2       5,543.3       0.1      968      0.9
Rhode Island...............          35.4         445.3       0.8      954      2.4
                                                                                   
South Carolina.............         114.9       1,823.7       1.4      773      1.2
South Dakota...............          31.5         394.3       1.0      709      0.9
Tennessee..................         143.6       2,675.0       1.5      854      0.8
Texas......................         602.5      10,928.5       3.0    1,015      0.3
Utah.......................          85.7       1,233.4       3.3      804      0.6
Vermont....................          24.4         299.3       0.7      791      2.3
Virginia...................         243.0       3,616.8       0.9    1,027      0.8
Washington.................         240.7       2,890.8       2.3    1,028      1.8
West Virginia..............          49.6         701.0      -0.7      767     -0.1
Wisconsin..................         160.7       2,664.9       0.9      833      0.8
                                                                                   
Wyoming....................          25.5         272.2       0.1      859      0.8
                                                                                   
Puerto Rico................          48.3         931.3       0.0      515     -1.2
Virgin Islands.............           3.4          39.8      -6.7      726      0.4
 
(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs.
(2) Data are preliminary.
(3) Average weekly wages were calculated using unrounded data.
(4) Totals for the United States do not include data for Puerto Rico or the
Virgin Islands.






Last Modified Date: September 26, 2013