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Economic News Release
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QCEW QCEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, March 19, 2014                                     USDL-14-0433

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

COUNTY EMPLOYMENT AND WAGES
Third Quarter 2013

From September 2012 to September 2013, employment increased in 286 of the 334 largest U.S. 
counties, the U.S. Bureau of Labor Statistics reported today. Fort Bend, Texas, had the largest increase, 
with a gain of 6.0 percent over the year, compared with national job growth of 1.7 percent. Within Fort 
Bend, the largest employment increase occurred in leisure and hospitality, which gained 2,234 jobs over 
the year (12.1 percent). Peoria, Ill., had the largest over-the-year decrease in employment among the 
largest counties in the U.S. with a loss of 3.7 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 1.9 percent to $922 in the third quarter of 
2013. San Mateo, Calif., had the largest over-the-year increase in average weekly wages with a gain of 
9.9 percent. Within San Mateo, an average weekly wage gain of $2,359, or 82.1 percent, in information 
made the largest contribution to the increase in average weekly wages. Pinellas, Fla., experienced the 
largest decrease in average weekly wages with a loss of 4.3 percent over the year.

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

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
     September 2013 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |         September 2012-13        |         September 2012-13
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           134,957.5| United States             2,277.6| United States                 1.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,093.3| Los Angeles, Calif.          95.2| Fort Bend, Texas              6.0
 Cook, Ill.                2,445.8| Harris, Texas                61.7| Douglas, Colo.                5.9
 New York, N.Y.            2,424.5| Dallas, Texas                47.3| Brazos, Texas                 5.7
 Harris, Texas             2,192.3| Maricopa, Ariz.              44.6| Lee, Fla.                     5.2
 Maricopa, Ariz.           1,719.1| King, Wash.                  42.8| Collier, Fla.                 5.1
 Dallas, Texas             1,509.0| Santa Clara, Calif.          37.5| Placer, Calif.                5.0
 Orange, Calif.            1,441.4| New York, N.Y.               34.2| Weld, Colo.                   5.0
 San Diego, Calif.         1,312.2| Orange, Calif.               32.0| Elkhart, Ind.                 4.9
 King, Wash.               1,212.3| San Diego, Calif.            25.2| Denton, Texas                 4.9
 Miami-Dade, Fla.          1,016.7| Travis, Texas                24.8| Utah, Utah                    4.9
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Employment

In September 2013, national employment was 135.0 million (as measured by the QCEW program). Over 
the year, employment increased 1.7 percent, or 2.3 million. The 334 U.S. counties with 75,000 or more 
jobs accounted for 71.4 percent of total U.S. employment and 76.6 percent of total wages. These 334 
counties had a net job growth of 1.7 million over the year, accounting for 75.8 percent of the overall 
U.S. employment increase.

Fort Bend, Texas, had the largest percentage increase in employment (6.0 percent) among the largest 
U.S. counties. The five counties with the largest increases in employment level were Los Angeles, 
Calif.; Harris, Texas; Dallas, Texas; Maricopa, Ariz.; and King, Wash. These counties had a combined 
over-the-year employment gain of 291,600 jobs, which was 12.8 percent of the overall job increase for 
the U.S. (See table A.)

Employment declined in 44 of the large counties from September 2012 to September 2013. Peoria, Ill., 
had the largest over-the-year percentage decrease in employment (-3.7 percent). Within Peoria, 
professional and business services had the largest decrease in employment, with a loss of 2,088 (-11.3 
percent). Caddo, La., had the second largest percentage decrease in employment, followed by St. Clair, 
Ill.; Jefferson, Texas; and Lake, Ind. (See table 1.)

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

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
         third quarter 2013       |    wage, third quarter 2012-13   |         weekly wage, third
                                  |                                  |          quarter 2012-13
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $922| United States                 $17| United States                 1.9
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $1,868| San Mateo, Calif.            $153| San Mateo, Calif.             9.9
 San Mateo, Calif.           1,698| Dane, Wis.                     78| Dane, Wis.                    9.3
 New York, N.Y.              1,667| Santa Clara, Calif.            72| Collier, Fla.                 8.0
 Washington, D.C.            1,560| San Francisco, Calif.          71| Whatcom, Wash.                6.9
 San Francisco, Calif.       1,549| Collier, Fla.                  62| Utah, Utah                    6.4
 Arlington, Va.              1,478| Yolo, Calif.                   53| Washington, Ark.              6.0
 Fairfax, Va.                1,434| Whatcom, Wash.                 52| Yolo, Calif.                  6.0
 Suffolk, Mass.              1,429| Alexandria City, Va.           50| Hamilton, Ind.                5.7
 Fairfield, Conn.            1,377| Hamilton, Ind.                 48| Clay, Mo.                     5.1
 King, Wash.                 1,376| Hartford, Conn.                46| San Francisco, Calif.         4.8
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased 1.9 percent during the year ending in the third quarter of 
2013. Among the 334 largest counties, 291 had over-the-year increases in average weekly wages. San 
Mateo, Calif., had the largest wage increase among the largest U.S. counties (9.9 percent). 

Of the 334 largest counties, 40 experienced over-the-year decreases in average weekly wages. Pinellas, 
Fla., had the largest percentage decrease in average weekly wage, with a loss of 4.3 percent. Within 
Pinellas, professional and business services had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $214 (-18.6 percent) over the year. 
Rockland, N.Y., had the second largest percentage decrease in average weekly wages, followed by 
Harford, Md.; Douglas, Colo.; and Mercer, N.J. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in September 
2013. King, Wash., had the largest gain (3.7 percent). Within King, trade, transportation, and utilities 
had the largest over-the-year employment level increase among all private industry groups with a gain of 
10,103 jobs, or 4.7 percent. Cook, Ill., had the smallest percentage increase in employment (1.0 percent) 
among the 10 largest counties. (See table 2.)

Average weekly wages increased over-the-year in 9 of the 10 largest U.S. counties. Harris, Texas, 
experienced the largest percentage gain in average weekly wages (2.9 percent). Within Harris, 
professional and business services had the largest impact on the county’s average weekly wage growth. 
Within this industry, average weekly wages increased by $53, or 3.9 percent, over the year. Average 
weekly wages in Orange, Calif., were unchanged over the year.

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. September 2013 employment and 2013 third 
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 9.3 million employer reports cover 135.0 million full- and part-
time workers. For additional information about the quarterly employment and wages data, please read 
the Technical Note. Data for the third quarter of 2013 will be available later at 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 www.bls.gov/cew/cewregional.htm.

_____________
The County Employment and Wages release for fourth quarter 2013 is scheduled to be released 
on Thursday, June 19, 2014.

   ----------------------------------------------------------------------------------------------------
  |                                    Changes to QCEW Data Files                                      |
  |                                                                                                    |
  |  BLS discontinued its ftp service on February 28, 2014. As part of this transition, the QCEW data  |
  |  file collection was substantially reorganized and improved. For more information, see             |
  |  www.bls.gov/cew/dataguide.htm.                                                                    |
  |                                                                                                    |
   ----------------------------------------------------------------------------------------------------






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 7.3    |
            |  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 was published in September 2013, 
contains selected data produced by Business Employment Dynamics (BED) on job gains 
and losses, as well as selected data from the first quarter 2013 version of this 
news release. Tables and additional content from Employment and Wages Annual Aver-
ages 2012 are now available online at http://www.bls.gov/cew/cewbultn12.htm. The 
2013 edition of Employment and Wages Annual Averages Online will be available in 
September 2014.

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,
third quarter 2013(2)

                                                   Employment               Average weekly wage(4)

                          Establishments,
        County(3)          third quarter                Percent    Ranking            Percent   Ranking
                                2013       September    change,      by      Third    change,     by
                            (thousands)       2013     September   percent  quarter    third    percent
                                          (thousands)  2012-13(5)  change     2013    quarter   change
                                                                                     2012-13(5)
                                                                                                     
United States(6).........       9,294.8     134,957.5       1.7        -      $922       1.9       - 
                                                                                                     
Jefferson, AL............          17.6         337.2       0.7       239      922       1.4      192
Madison, AL..............           8.9         181.3       1.2       194      995      -1.2      321
Mobile, AL...............           9.5         163.6      -0.3       302      808       1.0      216
Montgomery, AL...........           6.3         127.8      -0.4       307      794       3.8       25
Tuscaloosa, AL...........           4.3          86.3       0.7       239      807       1.9      138
Anchorage Borough, AK....           8.4         156.9       0.0       287    1,036       2.8       59
Maricopa, AZ.............          93.8       1,719.1       2.7        68      898       1.2      208
Pima, AZ.................          18.8         350.5       0.9       225      795       1.0      216
Benton, AR...............           5.7          99.0       2.0       120      917       3.6       29
Pulaski, AR..............          14.5         244.2       0.4       266      831       1.3      202
                                                                                                     
Washington, AR...........           5.7          95.6       2.1       114      774       6.0        6
Alameda, CA..............          56.0         681.7       2.5        85    1,199       1.7      161
Contra Costa, CA.........          29.3         335.1       2.7        68    1,121      -0.2      301
Fresno, CA...............          30.2         362.8       2.9        60      723       2.0      127
Kern, CA.................          17.1         318.3       1.8       140      787       0.4      262
Los Angeles, CA..........         434.4       4,093.3       2.4        90    1,007       1.0      216
Marin, CA................          11.8         109.4       2.5        85    1,076       0.9      224
Monterey, CA.............          12.8         188.1       0.9       225      791       0.9      224
Orange, CA...............         105.5       1,441.4       2.3        97    1,022       0.0      292
Placer, CA...............          11.0         138.3       5.0         6      911       0.6      248
                                                                                                     
Riverside, CA............          51.3         594.5       3.5        34      737       2.1      108
Sacramento, CA...........          51.3         602.5       1.9       130    1,029       2.1      108
San Bernardino, CA.......          50.0         632.5       3.3        41      773      -0.1      295
San Diego, CA............          98.4       1,312.2       2.0       120    1,022       2.0      127
San Francisco, CA........          56.0         616.0       3.4        37    1,549       4.8       10
San Joaquin, CA..........          16.7         216.0       2.2       107      787       0.1      283
San Luis Obispo, CA......           9.6         107.2       0.0       287      769       3.5       31
San Mateo, CA............          25.2         357.9       3.7        25    1,698       9.9        1
Santa Barbara, CA........          14.5         188.5       1.2       194      880       3.7       26
Santa Clara, CA..........          64.3         947.2       4.1        20    1,868       4.0       17
                                                                                                     
Santa Cruz, CA...........           9.0          99.8       1.7       148      858       0.9      224
Solano, CA...............          10.0         125.8       1.8       140      918       1.4      192
Sonoma, CA...............          18.7         187.6       3.6        28      875       2.3       92
Stanislaus, CA...........          14.1         173.2       2.2       107      787       1.5      181
Tulare, CA...............           9.1         147.9      -0.2       295      648       2.0      127
Ventura, CA..............          24.4         307.6       2.0       120      926      -0.5      311
Yolo, CA.................           5.9         100.3       1.4       174      934       6.0        6
Adams, CO................           9.1         174.7       4.3        16      900       2.5       77
Arapahoe, CO.............          19.5         298.7       3.7        25    1,067       2.2       98
Boulder, CO..............          13.5         165.8       3.1        54    1,095       2.4       87
                                                                                                     
Denver, CO...............          27.2         445.3       3.6        28    1,122       2.1      108
Douglas, CO..............          10.1         104.1       5.9         2    1,032      -2.5      331
El Paso, CO..............          17.2         245.1       2.3        97      841      -0.7      314
Jefferson, CO............          18.1         217.3       2.0       120      923       0.4      262
Larimer, CO..............          10.4         138.4       2.5        85      831       2.1      108
Weld, CO.................           6.0          92.1       5.0         6      832       4.1       15
Fairfield, CT............          33.5         415.9       1.5       162    1,377       0.2      275
Hartford, CT.............          26.1         497.0       0.3       271    1,124       4.3       13
New Haven, CT............          22.9         358.6       0.4       266      968       1.3      202
New London, CT...........           7.1         122.9      -0.7       316      909       0.8      236
                                                                                                     
New Castle, DE...........          17.0         271.0       2.2       107    1,055       2.1      108
Washington, DC...........          35.6         726.2       1.5       162    1,560       3.0       48
Alachua, FL..............           6.6         118.2       1.6       156      764       2.1      108
Brevard, FL..............          14.7         186.7      -0.3       302      845       0.5      255
Broward, FL..............          65.4         719.4       2.6        77      846       1.1      212
Collier, FL..............          12.3         118.6       5.1         5      837       8.0        3
Duval, FL................          27.8         451.2       2.6        77      865      -0.1      295
Escambia, FL.............           8.1         121.9       1.1       203      709       1.9      138
Hillsborough, FL.........          39.3         603.0       3.3        41      874       1.0      216
Lake, FL.................           7.5          83.7       3.9        23      640       1.3      202
                                                                                                     
Lee, FL..................          19.5         210.4       5.2         4      729       0.4      262
Leon, FL.................           8.3         138.4       0.7       239      757       0.4      262
Manatee, FL..............           9.7         103.8       2.3        97      699       1.9      138
Marion, FL...............           8.0          91.3       1.0       214      639       2.9       51
Miami-Dade, FL...........          93.4       1,016.7       2.4        90      873       2.1      108
Okaloosa, FL.............           6.1          77.6       1.1       203      757       0.5      255
Orange, FL...............          37.8         707.8       3.3        41      804       1.0      216
Palm Beach, FL...........          51.2         518.4       3.3        41      884       2.6       70
Pasco, FL................          10.1         100.8       2.4        90      635       1.8      146
Pinellas, FL.............          31.3         390.5       1.5       162      802      -4.3      334
                                                                                                     
Polk, FL.................          12.5         193.1       1.9       130      718       1.8      146
Sarasota, FL.............          14.7         142.6       4.0        22      744       0.8      236
Seminole, FL.............          14.1         162.3       2.7        68      762       1.6      172
Volusia, FL..............          13.4         152.7       1.9       130      650       1.1      212
Bibb, GA.................           4.6          80.3       0.8       234      726       2.8       59
Chatham, GA..............           7.9         136.7       2.3        97      781       0.5      255
Clayton, GA..............           4.3         110.5       0.9       225      878       2.9       51
Cobb, GA.................          22.1         313.7       3.1        54      963       0.1      283
De Kalb, GA..............          18.3         274.6       1.6       156      937       2.1      108
Fulton, GA...............          43.0         749.2       3.2        48    1,197       1.6      172
                                                                                                     
Gwinnett, GA.............          24.6         313.7       3.3        41      898       0.8      236
Muscogee, GA.............           4.7          93.5       0.5       255      729       0.3      268
Richmond, GA.............           4.7          98.3      -0.6       313      794      -0.3      308
Honolulu, HI.............          24.8         451.2       1.4       174      873       1.4      192
Ada, ID..................          13.8         208.2       3.6        28      814       2.4       87
Champaign, IL............           4.4          88.6      -0.1       291      838       2.9       51
Cook, IL.................         153.0       2,445.8       1.0       214    1,049       1.5      181
Du Page, IL..............          37.9         590.1       1.1       203    1,059       0.9      224
Kane, IL.................          13.6         205.6       2.2       107      803       0.2      275
Lake, IL.................          22.5         331.3       1.4       174    1,148       0.3      268
                                                                                                     
McHenry, IL..............           8.8          95.7       1.4       174      759       0.4      262
McLean, IL...............           3.9          85.0      -0.2       295      890       1.7      161
Madison, IL..............           6.1          95.0      -1.4       327      765       1.6      172
Peoria, IL...............           4.7         100.9      -3.7       334      855       0.7      244
St. Clair, IL............           5.7          92.2      -2.3       332      751      -0.4      309
Sangamon, IL.............           5.3         126.2       0.1       279      958       2.0      127
Will, IL.................          15.7         214.2       2.8        62      812       1.8      146
Winnebago, IL............           6.9         124.4      -0.9       320      781       1.8      146
Allen, IN................           8.9         177.1       1.1       203      758       1.7      161
Elkhart, IN..............           4.8         117.0       4.9         8      758       3.3       40
                                                                                                     
Hamilton, IN.............           8.7         121.9       3.6        28      897       5.7        8
Lake, IN.................          10.3         187.9      -1.7       330      839      -2.2      326
Marion, IN...............          23.8         575.7       0.9       225      946       2.2       98
St. Joseph, IN...........           5.9         116.8      -0.5       310      750       0.1      283
Tippecanoe, IN...........           3.3          79.3      -0.8       318      766       0.7      244
Vanderburgh, IN..........           4.8         103.3      -1.2       326      739       2.2       98
Johnson, IA..............           3.9          80.6       2.5        85      873       2.2       98
Linn, IA.................           6.4         127.6       0.6       246      885       1.3      202
Polk, IA.................          15.8         282.1       3.2        48      926       2.1      108
Scott, IA................           5.4          89.1       0.3       271      759       1.7      161
                                                                                                     
Johnson, KS..............          21.3         322.4       3.0        57      934       2.0      127
Sedgwick, KS.............          12.2         242.2       1.4       174      814       0.9      224
Shawnee, KS..............           4.8          96.3       2.1       114      769       1.1      212
Wyandotte, KS............           3.3          84.9       1.9       130      879       2.3       92
Boone, KY................           4.0          76.8       0.1       279      804       0.6      248
Fayette, KY..............          10.2         182.6       1.6       156      839       2.7       65
Jefferson, KY............          24.0         435.0       1.5       162      882       0.1      283
Caddo, LA................           7.4         114.6      -3.1       333      759       2.0      127
Calcasieu, LA............           5.0          85.9       1.3       187      799       1.8      146
East Baton Rouge, LA.....          14.8         264.3       2.1       114      886       4.5       12
                                                                                                     
Jefferson, LA............          13.8         191.9       2.1       114      841      -0.1      295
Lafayette, LA............           9.3         140.2       2.6        77      902       3.4       37
Orleans, LA..............          11.4         178.1       3.3        41      909       1.8      146
St. Tammany, LA..........           7.7          81.3       2.4        90      794       3.5       31
Cumberland, ME...........          12.8         173.5       0.6       246      812       1.6      172
Anne Arundel, MD.........          14.7         253.6       1.8       140    1,000       0.4      262
Baltimore, MD............          21.2         362.3       1.0       214      934       0.9      224
Frederick, MD............           6.2          95.0      -0.2       295      873      -0.2      301
Harford, MD..............           5.6          88.3      -0.5       310      868      -2.6      332
Howard, MD...............           9.4         160.7       0.6       246    1,111       0.9      224
                                                                                                     
Montgomery, MD...........          33.3         454.3       0.4       266    1,214      -1.5      324
Prince Georges, MD.......          15.7         299.0      -0.3       302      999       1.5      181
Baltimore City, MD.......          13.9         332.1      -0.6       313    1,094       2.1      108
Barnstable, MA...........           9.1          97.6       1.2       194      765       2.5       77
Bristol, MA..............          16.6         215.4       0.5       255      835       2.0      127
Essex, MA................          22.4         312.1       0.8       234      969       2.4       87
Hampden, MA..............          16.2         201.0       1.4       174      839       1.5      181
Middlesex, MA............          50.6         838.6       1.4       174    1,362       3.3       40
Norfolk, MA..............          23.9         332.3       1.8       140    1,051       1.4      192
Plymouth, MA.............          14.4         181.5       1.9       130      861       2.6       70
                                                                                                     
Suffolk, MA..............          24.8         606.9       1.5       162    1,429       2.1      108
Worcester, MA............          22.3         323.0       0.3       271      946       3.5       31
Genesee, MI..............           7.2         131.2       0.8       234      764       2.6       70
Ingham, MI...............           6.3         151.6       1.4       174      868       1.4      192
Kalamazoo, MI............           5.3         112.0       1.5       162      855       1.5      181
Kent, MI.................          14.1         353.3       3.5        34      811       1.2      208
Macomb, MI...............          17.4         303.3       3.3        41      921       2.1      108
Oakland, MI..............          38.4         678.4       1.6       156    1,003       0.9      224
Ottawa, MI...............           5.6         113.5       3.4        37      759       2.7       65
Saginaw, MI..............           4.2          83.7       0.6       246      743       0.1      283
                                                                                                     
Washtenaw, MI............           8.3         198.0       1.7       148      996       1.5      181
Wayne, MI................          31.5         688.8       0.5       255      999       0.9      224
Anoka, MN................           7.2         116.4       3.1        54      906       4.0       17
Dakota, MN...............          10.0         178.9       2.4        90      892       1.9      138
Hennepin, MN.............          42.2         860.0       1.9       130    1,162       2.5       77
Olmsted, MN..............           3.5          92.0       0.1       279      972       2.1      108
Ramsey, MN...............          13.9         325.0       1.1       203    1,028       3.7       26
St. Louis, MN............           5.6          96.4       1.1       203      793       1.9      138
Stearns, MN..............           4.4          82.6       1.8       140      750       2.7       65
Harrison, MS.............           4.5          83.3       0.5       255      677       2.3       92
                                                                                                     
Hinds, MS................           6.1         119.5      -0.3       302      810       3.1       45
Boone, MO................           4.6          89.8       2.6        77      748       1.6      172
Clay, MO.................           5.2          90.7       1.5       162      843       5.1        9
Greene, MO...............           8.1         156.1       1.3       187      712       2.9       51
Jackson, MO..............          19.2         348.9       1.0       214      944       2.9       51
St. Charles, MO..........           8.5         131.5       2.3        97      728       0.8      236
St. Louis, MO............          33.0         573.9       1.2       194      958      -0.8      316
St. Louis City, MO.......          10.1         223.2       0.7       239    1,000       0.8      236
Yellowstone, MT..........           6.2          78.3       0.6       246      774       2.1      108
Douglas, NE..............          18.5         322.2       1.7       148      889       4.2       14
                                                                                                     
Lancaster, NE............           9.9         162.1       2.2       107      750       1.2      208
Clark, NV................          50.4         843.3       2.7        68      819       1.9      138
Washoe, NV...............          13.8         191.5       2.7        68      847       2.5       77
Hillsborough, NH.........          12.1         190.7       0.5       255      989       1.9      138
Rockingham, NH...........          10.6         139.5       0.7       239      866       2.6       70
Atlantic, NJ.............           6.6         136.1      -0.2       295      764       0.3      268
Bergen, NJ...............          33.0         436.2       2.3        97    1,086       0.5      255
Burlington, NJ...........          11.1         195.6       0.1       279      957       0.9      224
Camden, NJ...............          12.0         192.6       0.3       271      896       0.2      275
Essex, NJ................          20.5         330.5      -0.5       310    1,158       3.9       23
                                                                                                     
Gloucester, NJ...........           6.1          99.2       1.9       130      809       1.3      202
Hudson, NJ...............          14.1         236.3       0.9       225    1,250       0.9      224
Mercer, NJ...............          11.0         232.4       1.5       162    1,179      -2.4      330
Middlesex, NJ............          21.9         389.5       0.0       287    1,110       4.0       17
Monmouth, NJ.............          20.0         244.6       0.7       239      895       0.7      244
Morris, NJ...............          17.2         278.0       1.5       162    1,330       2.2       98
Ocean, NJ................          12.5         156.8       2.7        68      738       1.5      181
Passaic, NJ..............          12.3         169.2       0.6       246      896       0.6      248
Somerset, NJ.............          10.1         177.3       1.9       130    1,330      -0.2      301
Union, NJ................          14.3         220.6      -0.1       291    1,130      -0.2      301
                                                                                                     
Bernalillo, NM...........          17.8         311.2       0.6       246      808      -0.2      301
Albany, NY...............          10.1         222.4       0.3       271      977       2.6       70
Bronx, NY................          17.3         244.5       2.8        62      903       2.5       77
Broome, NY...............           4.6          88.5      -1.4       327      726       1.5      181
Dutchess, NY.............           8.4         111.8       1.0       214      923       3.0       48
Erie, NY.................          24.4         458.6       0.5       255      811       2.5       77
Kings, NY................          55.5         535.3       2.4        90      760       1.5      181
Monroe, NY...............          18.5         374.4       0.2       277      901       3.2       42
Nassau, NY...............          53.3         598.7       1.7       148      989       0.3      268
New York, NY.............         125.1       2,424.5       1.4       174    1,667       2.6       70
                                                                                                     
Oneida, NY...............           5.3         104.1      -1.0       322      735       3.7       26
Onondaga, NY.............          13.1         242.3      -0.1       291      841       1.1      212
Orange, NY...............          10.0         133.3       0.9       225      755      -0.1      295
Queens, NY...............          48.9         536.0       1.8       140      855       0.1      283
Richmond, NY.............           9.3          96.1       4.2        19      802       1.3      202
Rockland, NY.............          10.1         115.4       0.0       287      954      -4.1      333
Saratoga, NY.............           5.7          80.4       2.3        97      815       1.4      192
Suffolk, NY..............          51.7         634.0       1.4       174    1,000      -2.1      325
Westchester, NY..........          36.2         408.1       0.8       234    1,163      -0.9      317
Buncombe, NC.............           8.0         117.5       1.2       194      714       2.1      108
                                                                                                     
Catawba, NC..............           4.3          80.8       0.8       234      694       3.0       48
Cumberland, NC...........           6.1         117.1      -0.7       316      741      -1.1      320
Durham, NC...............           7.3         184.4       1.6       156    1,189       2.9       51
Forsyth, NC..............           8.9         176.3       1.9       130      851       2.0      127
Guilford, NC.............          14.0         268.7       1.7       148      809       0.0      292
Mecklenburg, NC..........          32.7         586.8       2.8        62    1,055      -0.1      295
New Hanover, NC..........           7.3         101.4       2.3        97      740       2.2       98
Wake, NC.................          29.6         478.9       3.8        24      935       0.8      236
Cass, ND.................           6.4         111.3       2.7        68      861       4.0       17
Butler, OH...............           7.5         140.0       1.5       162      796      -0.1      295
                                                                                                     
Cuyahoga, OH.............          35.7         707.9       0.7       239      956       2.5       77
Delaware, OH.............           4.5          82.6       2.8        62      892       2.1      108
Franklin, OH.............          29.9         692.6       2.4        90      927       1.4      192
Hamilton, OH.............          23.2         497.6       1.0       214    1,015      -1.2      321
Lake, OH.................           6.3          93.6      -0.1       291      760      -2.3      329
Lorain, OH...............           6.0          95.4       0.9       225      755       0.5      255
Lucas, OH................          10.1         204.5       1.0       214      794       0.6      248
Mahoning, OH.............           6.0          99.0       0.5       255      674       1.0      216
Montgomery, OH...........          11.9         242.3      -0.2       295      804       0.8      236
Stark, OH................           8.8         155.7       0.1       279      723       2.8       59
                                                                                                     
Summit, OH...............          14.1         258.0       0.6       246      832       1.7      161
Warren, OH...............           4.3          81.7       3.2        48      789      -1.3      323
Oklahoma, OK.............          25.6         436.6       1.2       194      906       1.7      161
Tulsa, OK................          21.0         339.2       1.7       148      865       1.8      146
Clackamas, OR............          13.0         144.4       2.0       120      858       2.8       59
Jackson, OR..............           6.8          80.4       2.7        68      710       2.3       92
Lane, OR.................          11.0         139.7       1.2       194      727       1.8      146
Marion, OR...............           9.5         140.5       3.4        37      731       2.7       65
Multnomah, OR............          30.7         455.3       2.8        62      953       1.6      172
Washington, OR...........          17.0         260.2       3.6        28    1,147       3.5       31
                                                                                                     
Allegheny, PA............          34.4         685.8       0.4       266    1,004       1.8      146
Berks, PA................           8.8         164.8       0.5       255      828      -2.2      326
Bucks, PA................          19.2         248.9       1.2       194      872       0.2      275
Butler, PA...............           4.8          84.8       0.5       255      864       2.2       98
Chester, PA..............          14.9         239.5       1.1       203    1,141       1.0      216
Cumberland, PA...........           6.0         124.6       0.1       279      852       2.7       65
Dauphin, PA..............           7.3         176.7       0.9       225      911       1.7      161
Delaware, PA.............          13.4         213.3       1.5       162      968       2.2       98
Erie, PA.................           7.0         125.0      -0.4       307      740       0.7      244
Lackawanna, PA...........           5.7          96.8      -0.8       318      709       1.7      161
                                                                                                     
Lancaster, PA............          12.7         222.4       0.5       255      768       2.0      127
Lehigh, PA...............           8.5         179.5       1.4       174      903       3.9       23
Luzerne, PA..............           7.5         139.3      -0.4       307      729       2.1      108
Montgomery, PA...........          26.7         468.6       0.5       255    1,107      -0.4      309
Northampton, PA..........           6.5         105.1       1.1       203      814       2.8       59
Philadelphia, PA.........          33.6         634.2       0.3       271    1,103       1.8      146
Washington, PA...........           5.3          86.6       0.6       246      893       2.5       77
Westmoreland, PA.........           9.2         132.9      -1.0       322      745       1.4      192
York, PA.................           8.8         172.2       0.4       266      811       0.2      275
Providence, RI...........          17.4         274.0       1.0       214      920       3.1       45
                                                                                                     
Charleston, SC...........          12.5         219.0       2.1       114      812       1.9      138
Greenville, SC...........          12.7         238.9       3.4        37      811       0.1      283
Horry, SC................           7.9         114.2       2.0       120      564       2.0      127
Lexington, SC............           5.9         102.9       4.3        16      702       1.0      216
Richland, SC.............           9.2         207.2       1.4       174      796       1.5      181
Spartanburg, SC..........           5.9         120.7       3.6        28      777       1.7      161
York, SC.................           4.7          78.0       3.2        48      729       2.5       77
Minnehaha, SD............           6.7         118.6       1.7       148      798       3.5       31
Davidson, TN.............          19.1         442.2       2.0       120      947       0.2      275
Hamilton, TN.............           8.7         187.9       1.3       187      808       0.1      283
                                                                                                     
Knox, TN.................          11.1         221.9       1.1       203      796       0.6      248
Rutherford, TN...........           4.6         108.8       4.8        11      796       0.1      283
Shelby, TN...............          19.4         469.4      -0.3       302      960       0.0      292
Williamson, TN...........           6.8         103.5       4.5        14    1,013       2.9       51
Bell, TX.................           4.9         111.1       1.4       174      770       2.5       77
Bexar, TX................          36.3         773.3       2.6        77      827       1.2      208
Brazoria, TX.............           5.1          96.2       3.2        48      908       3.4       37
Brazos, TX...............           4.1          94.9       5.7         3      711      -1.0      318
Cameron, TX..............           6.3         131.9       1.8       140      587       2.3       92
Collin, TX...............          20.3         330.3       4.8        11    1,070       0.8      236
                                                                                                     
Dallas, TX...............          70.6       1,509.0       3.2        48    1,115       2.8       59
Denton, TX...............          12.1         195.5       4.9         8      837       1.6      172
El Paso, TX..............          14.3         282.4       1.5       162      666       2.0      127
Fort Bend, TX............          10.5         157.8       6.0         1      969       3.6       29
Galveston, TX............           5.6          98.5       2.8        62      805       0.2      275
Gregg, TX................           4.2          77.1       0.9       225      846       4.1       15
Harris, TX...............         106.1       2,192.3       2.9        60    1,187       2.9       51
Hidalgo, TX..............          11.6         231.7       2.6        77      595       2.1      108
Jefferson, TX............           5.8         116.9      -2.0       331      921       0.9      224
Lubbock, TX..............           7.2         129.1       2.3        97      736       2.6       70
                                                                                                     
McLennan, TX.............           5.0         103.3       1.2       194      748       1.4      192
Midland, TX..............           5.1          85.3       4.5        14    1,148       3.5       31
Montgomery, TX...........           9.6         151.4       4.8        11      903       3.4       37
Nueces, TX...............           8.1         159.7       1.8       140      817       2.4       87
Potter, TX...............           3.9          77.3       1.3       187      778       1.8      146
Smith, TX................           5.8          95.2       2.5        85      784       1.6      172
Tarrant, TX..............          39.4         812.6       3.0        57      912       0.6      248
Travis, TX...............          33.7         637.8       4.1        20    1,028       2.4       87
Webb, TX.................           5.0          92.8       1.9       130      636      -0.2      301
Williamson, TX...........           8.4         139.9       4.3        16      928       1.5      181
                                                                                                     
Davis, UT................           7.5         111.7       2.6        77      738      -0.7      314
Salt Lake, UT............          39.5         611.4       3.0        57      877       2.1      108
Utah, UT.................          13.5         190.1       4.9         8      749       6.4        5
Weber, UT................           5.6          93.2       2.0       120      710       4.6       11
Chittenden, VT...........           6.3          99.3       0.2       277      898       3.2       42
Arlington, VA............           8.8         164.9      -1.0       322    1,478      -1.0      318
Chesterfield, VA.........           8.0         122.0       2.7        68      810      -0.6      312
Fairfax, VA..............          35.2         586.1      -0.2       295    1,434       1.8      146
Henrico, VA..............          10.3         179.5       0.1       279      912       1.7      161
Loudoun, VA..............          10.3         146.7       2.0       120    1,085      -0.2      301
                                                                                                     
Prince William, VA.......           8.1         116.5       2.6        77      835       0.2      275
Alexandria City, VA......           6.3          94.6      -1.6       329    1,315       4.0       17
Chesapeake City, VA......           5.7          95.7       2.2       107      728       0.6      248
Newport News City, VA....           3.7          97.4       1.1       203      906       4.0       17
Norfolk City, VA.........           5.6         136.4      -0.6       313      906       0.3      268
Richmond City, VA........           7.1         148.1       0.1       279    1,021       1.8      146
Virginia Beach City, VA..          11.3         170.5       2.2       107      733       0.3      268
Benton, WA...............           6.0          79.9       1.1       203      916       0.3      268
Clark, WA................          14.5         136.1       3.5        34      866       2.2       98
King, WA.................          86.3       1,212.3       3.7        25    1,376       1.6      172
                                                                                                     
Kitsap, WA...............           6.9          80.1      -0.2       295      879      -0.6      312
Pierce, WA...............          22.9         274.0       2.1       114      842       0.5      255
Snohomish, WA............          20.5         264.6       1.6       156    1,013       1.4      192
Spokane, WA..............          16.7         204.2       1.3       187      796       2.2       98
Thurston, WA.............           7.9         100.1       2.3        97      829      -2.2      326
Whatcom, WA..............           7.2          82.7       2.0       120      807       6.9        4
Yakima, WA...............           9.3         114.8       1.0       214      638       3.2       42
Kanawha, WV..............           6.0         104.0      -1.0       322      804       1.8      146
Brown, WI................           6.6         149.7       1.0       214      805       3.1       45
Dane, WI.................          14.4         310.3       1.3       187      921       9.3        2
                                                                                                     
Milwaukee, WI............          24.6         481.4       1.0       214      879       0.5      255
Outagamie, WI............           5.1         102.3       1.7       148      788       2.3       92
Waukesha, WI.............          12.6         230.8       1.3       187      904       1.7      161
Winnebago, WI............           3.6          89.9      -0.9       320      839       1.8      146
San Juan, PR.............          11.5         255.0      -2.9       (7)      598      -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 71.4 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,
third quarter 2013(2)

                                                                    Employment         Average weekly
                                                                                           wage(3)
                                              Establishments,
                                               third quarter 
         County by NAICS supersector               2013                     Percent            Percent
                                               (thousands)      September   change,    Third   change,
                                                                  2013     September   quarter  third
                                                              (thousands)  2012-13(4)   2013   quarter
                                                                                              2012-13(4)

United States(5) ............................       9,294.8     134,957.5       1.7     $922       1.9
  Private industry...........................       9,000.5     113,874.9       2.1      914       1.9
    Natural resources and mining.............         133.4       2,130.2       0.9    1,019       3.7
    Construction.............................         750.3       6,067.8       4.4    1,005       2.6
    Manufacturing............................         336.2      12,055.6       0.4    1,125       1.7
    Trade, transportation, and utilities.....       1,908.2      25,615.1       1.7      781       1.6
    Information..............................         145.6       2,691.1       0.7    1,622       4.8
    Financial activities.....................         820.6       7,629.0       1.6    1,346       2.4
    Professional and business services.......       1,644.1      18,635.0       2.8    1,172       1.8
    Education and health services............       1,469.8      20,222.2       1.6      864       1.5
    Leisure and hospitality..................         785.1      14,478.2       3.0      388       1.8
    Other services...........................         797.0       4,152.7       1.1      623       2.5
  Government.................................         294.2      21,082.6      -0.2      970       1.7

Los Angeles, CA..............................         434.4       4,093.3       2.4    1,007       1.0
  Private industry...........................         428.5       3,566.9       2.7      977       0.6
    Natural resources and mining.............           0.5           9.9       7.3    1,799     -20.7
    Construction.............................          12.4         117.2       5.5    1,065       1.7
    Manufacturing............................          12.5         366.8       0.1    1,126      -0.2
    Trade, transportation, and utilities.....          51.9         769.9       1.7      826       1.0
    Information..............................           8.4         194.5       4.3    1,760       0.3
    Financial activities.....................          22.6         210.1      -0.5    1,514       3.6
    Professional and business services.......          44.0         599.2       4.0    1,222       0.5
    Education and health services............         200.1         701.3       2.2      782       0.9
    Leisure and hospitality..................          28.1         441.0       4.5      552       0.5
    Other services...........................          25.3         141.1       1.6      674       1.0
  Government.................................           5.8         526.4       0.1    1,220       3.3

Cook, IL.....................................         153.0       2,445.8       1.0    1,049       1.5
  Private industry...........................         151.7       2,150.3       1.1    1,037       1.5
    Natural resources and mining.............           0.1           0.9       2.6    1,017       1.8
    Construction.............................          12.6          67.3       3.1    1,333       3.4
    Manufacturing............................           6.6         187.8      -2.1    1,094       1.8
    Trade, transportation, and utilities.....          30.2         446.6       0.7      830      -0.4
    Information..............................           2.7          53.5      -2.1    1,572       4.0
    Financial activities.....................          15.8         184.7       0.1    1,763       3.6
    Professional and business services.......          32.5         436.8       2.1    1,318       2.1
    Education and health services............          16.1         419.6       1.7      902       0.3
    Leisure and hospitality..................          13.7         253.2       2.4      477       0.8
    Other services...........................          16.8          95.7       0.7      801       2.0
  Government.................................           1.3         295.5      -0.2    1,146       2.4

New York, NY.................................         125.1       2,424.5       1.4    1,667       2.6
  Private industry...........................         124.8       1,988.8       1.8    1,782       2.7
    Natural resources and mining.............           0.0           0.2       6.7    2,087      39.4
    Construction.............................           2.2          33.7       3.3    1,684       3.6
    Manufacturing............................           2.3          26.1       0.3    1,134       4.1
    Trade, transportation, and utilities.....          21.0         257.8       1.8    1,229       0.2
    Information..............................           4.5         144.5       1.5    2,320       7.3
    Financial activities.....................          19.1         349.4      -1.0    3,126       3.9
    Professional and business services.......          26.4         502.1       2.2    2,006       3.0
    Education and health services............           9.6         313.5       2.2    1,243       2.9
    Leisure and hospitality..................          13.5         260.3       2.6      783       2.1
    Other services...........................          19.6          94.9       2.3    1,014       2.5
  Government.................................           0.3         435.7      -0.1    1,137       1.1

Harris, TX...................................         106.1       2,192.3       2.9    1,187       2.9
  Private industry...........................         105.6       1,936.9       3.0    1,203       2.9
    Natural resources and mining.............           1.8          96.0       7.9    2,898       0.3
    Construction.............................           6.6         144.6       2.2    1,187       3.1
    Manufacturing............................           4.6         195.5       2.5    1,441       1.3
    Trade, transportation, and utilities.....          23.9         453.6       3.3    1,060       3.9
    Information..............................           1.2          28.3      -1.8    1,320      -6.3
    Financial activities.....................          10.8         117.5       3.1    1,478       2.1
    Professional and business services.......          21.3         375.8       2.1    1,405       3.9
    Education and health services............          14.6         263.0       2.4      967       4.4
    Leisure and hospitality..................           8.8         200.7       3.8      405       1.0
    Other services...........................          11.5          61.0       2.7      701       2.8
  Government.................................           0.6         255.4       2.4    1,066       2.4

Maricopa, AZ.................................          93.8       1,719.1       2.7      898       1.2
  Private industry...........................          93.1       1,510.6       3.0      892       1.4
    Natural resources and mining.............           0.5           7.0       2.1      919       4.0
    Construction.............................           7.5          93.1       3.7      943       1.0
    Manufacturing............................           3.2         113.1      -0.5    1,280       0.2
    Trade, transportation, and utilities.....          20.7         341.3       2.4      825       0.7
    Information..............................           1.6          31.4       3.0    1,191       2.3
    Financial activities.....................          10.9         149.1       4.9    1,126       0.9
    Professional and business services.......          21.9         288.3       3.2      964       3.2
    Education and health services............          10.8         254.6       2.5      915       1.6
    Leisure and hospitality..................           7.4         184.3       4.7      427       0.2
    Other services...........................           6.5          46.7       0.9      624       3.5
  Government.................................           0.7         208.5       0.2      954       1.5

Dallas, TX...................................          70.6       1,509.0       3.2    1,115       2.8
  Private industry...........................          70.1       1,343.1       3.5    1,120       2.8
    Natural resources and mining.............           0.6           9.2       5.0    3,404       0.0
    Construction.............................           4.0          74.3       6.8    1,031       1.8
    Manufacturing............................           2.7         107.8      -3.7    1,296       5.2
    Trade, transportation, and utilities.....          15.3         306.0       4.2    1,028       2.3
    Information..............................           1.4          48.1       5.4    1,719       3.2
    Financial activities.....................           8.6         149.5       4.7    1,456       2.9
    Professional and business services.......          15.7         291.1       3.5    1,249       4.0
    Education and health services............           8.6         176.3       2.6    1,021       1.4
    Leisure and hospitality..................           6.0         140.5       4.8      489      -0.2
    Other services...........................           6.7          39.7       4.0      718       2.9
  Government.................................           0.5         165.9       1.4    1,080       2.8

Orange, CA...................................         105.5       1,441.4       2.3    1,022       0.0
  Private industry...........................         104.2       1,308.3       2.4    1,008      -0.3
    Natural resources and mining.............           0.2           3.3       7.9      729       1.8
    Construction.............................           6.1          79.1       7.0    1,133      -0.1
    Manufacturing............................           4.8         156.7      -1.2    1,300       2.2
    Trade, transportation, and utilities.....          16.3         251.1       1.5      930      -0.9
    Information..............................           1.2          24.9       3.4    1,514      -7.0
    Financial activities.....................           9.8         111.9       2.8    1,568       1.0
    Professional and business services.......          19.4         264.8       1.5    1,152       1.5
    Education and health services............          25.6         180.2       3.3      866      -1.4
    Leisure and hospitality..................           7.5         190.5       3.7      443      -5.7
    Other services...........................           6.2          40.9       0.8      641       1.9
  Government.................................           1.3         133.1       1.5    1,171       3.2

San Diego, CA................................          98.4       1,312.2       2.0    1,022       2.0
  Private industry...........................          97.0       1,092.9       2.0      987       1.6
    Natural resources and mining.............           0.7          10.6       1.1      637       7.6
    Construction.............................           5.9          61.6       6.5    1,053       2.0
    Manufacturing............................           2.9          94.3      -1.2    1,359      -8.9
    Trade, transportation, and utilities.....          13.8         210.0       1.2      785       0.5
    Information..............................           1.1          23.8      -1.8    1,723       9.3
    Financial activities.....................           8.6          70.8       1.1    1,316       9.3
    Professional and business services.......          16.9         223.3       3.4    1,441       5.0
    Education and health services............          26.7         177.6       1.1      869       0.9
    Leisure and hospitality..................           7.3         170.3       2.3      438       0.5
    Other services...........................           6.6          46.1       2.4      564       1.1
  Government.................................           1.4         219.3       1.6    1,207       3.6

King, WA.....................................          86.3       1,212.3       3.7    1,376       1.6
  Private industry...........................          85.7       1,056.4       3.9    1,402       1.5
    Natural resources and mining.............           0.4           2.7     -10.9    1,232      -7.4
    Construction.............................           5.5          55.5       7.7    1,164       1.5
    Manufacturing............................           2.2         106.1       2.2    1,513       2.9
    Trade, transportation, and utilities.....          14.4         223.3       4.7    1,076       3.3
    Information..............................           1.8          83.3       3.3    4,670       2.4
    Financial activities.....................           6.3          65.6       3.5    1,441       0.4
    Professional and business services.......          14.5         201.3       4.4    1,459      -1.2
    Education and health services............          26.2         155.8       2.8      910       2.4
    Leisure and hospitality..................           6.6         123.1       4.9      499       2.7
    Other services...........................           8.0          39.7       1.4      779       5.3
  Government.................................           0.5         155.9       1.8    1,202       2.3

Miami-Dade, FL...............................          93.4       1,016.7       2.4      873       2.1
  Private industry...........................          93.0         879.6       2.9      854       1.9
    Natural resources and mining.............           0.5           7.2      -4.4      542       2.1
    Construction.............................           5.3          33.9      10.8      850       3.2
    Manufacturing............................           2.7          36.4       2.1      813       0.7
    Trade, transportation, and utilities.....          27.6         260.5       2.3      795       1.7
    Information..............................           1.6          17.5       2.8    1,367       2.3
    Financial activities.....................           9.6          68.9       4.9    1,308       4.3
    Professional and business services.......          19.8         136.0       3.7    1,016       1.0
    Education and health services............          10.2         159.4       0.8      908       3.3
    Leisure and hospitality..................           7.1         123.2       3.6      524      -1.9
    Other services...........................           8.1          36.2       2.3      569       4.0
  Government.................................           0.4         137.1      -1.0      995       3.0

(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,
third quarter 2013(2)

                                                  Employment        Average weekly
                                                                        wage(3)
                            Establishments,
                             third quarter
            State                2013                     Percent           Percent
                             (thousands)      September   change,   Third   change,
                                                2013     September  quarter  third
                                             (thousands)  2012-13    2013   quarter
                                                                            2012-13

                                                                                   
United States(4)...........       9,294.8     134,957.5       1.7     $922      1.9
                                                                                   
Alabama....................         116.4       1,847.6       0.8      794      1.3
Alaska.....................          22.0         345.0       0.4      990      3.0
Arizona....................         146.9       2,490.9       2.2      859      1.5
Arkansas...................          87.2       1,156.5       0.1      723      2.1
California.................       1,356.2      15,526.4       2.7    1,057      2.1
Colorado...................         176.1       2,355.7       3.1      952      1.7
Connecticut................         113.4       1,650.3       0.7    1,109      1.9
Delaware...................          28.2         416.8       2.1      941      2.1
District of Columbia.......          35.6         726.2       1.5    1,560      3.0
Florida....................         628.3       7,501.8       2.6      808      1.1
                                                                                   
Georgia....................         276.1       3,928.2       2.3      867      1.5
Hawaii.....................          38.8         617.7       1.7      839      1.6
Idaho......................          53.7         644.7       2.3      703      2.3
Illinois...................         402.1       5,731.7       0.7      959      1.5
Indiana....................         159.5       2,883.6       1.2      784      1.6
Iowa.......................          98.1       1,512.0       1.5      772      2.1
Kansas.....................          85.1       1,347.6       1.8      776      2.0
Kentucky...................         118.4       1,794.5       1.0      760      1.1
Louisiana..................         129.2       1,893.4       1.4      827      2.9
Maine......................          49.6         601.5       0.7      735      1.8
                                                                                   
Maryland...................         166.8       2,546.4       0.6    1,011      0.4
Massachusetts..............         229.0       3,318.3       1.2    1,131      2.6
Michigan...................         239.2       4,069.7       2.1      875      1.5
Minnesota..................         171.8       2,724.2       1.7      938      2.6
Mississippi................          70.7       1,099.1       0.8      688      2.5
Missouri...................         181.5       2,661.0       1.3      805      1.4
Montana....................          43.4         446.7       1.2      705      2.3
Nebraska...................          70.8         937.5       1.3      766      3.4
Nevada.....................          74.7       1,169.4       2.5      836      2.0
New Hampshire..............          49.9         624.5       0.6      895      2.4
                                                                                   
New Jersey.................         265.3       3,851.9       1.2    1,068      1.3
New Mexico.................          55.7         793.7       0.5      766      0.7
New York...................         617.3       8,724.8       1.3    1,108      1.7
North Carolina.............         255.9       4,006.4       1.7      817      1.4
North Dakota...............          30.9         436.7       3.4      921      5.5
Ohio.......................         288.5       5,147.5       1.4      837      1.2
Oklahoma...................         105.9       1,572.6       1.4      797      2.4
Oregon.....................         135.6       1,709.8       2.4      856      2.6
Pennsylvania...............         341.6       5,622.4       0.3      913      1.6
Rhode Island...............          35.6         465.2       1.3      878      2.6
                                                                                   
South Carolina.............         118.1       1,859.3       2.3      751      1.9
South Dakota...............          31.8         408.9       0.9      706      3.4
Tennessee..................         144.9       2,712.8       1.5      819      0.6
Texas......................         609.6      11,091.9       2.8      952      2.5
Utah.......................          88.2       1,265.5       2.9      791      3.1
Vermont....................          24.6         302.5       0.0      788      3.4
Virginia...................         240.6       3,650.1       0.6      971      1.1
Washington.................         246.7       3,017.9       2.4    1,044      2.1
West Virginia..............          49.7         710.3      -0.7      751      3.7
Wisconsin..................         163.9       2,752.7       1.1      793      3.0
                                                                                   
Wyoming....................          25.7         286.1       0.2      840      1.4
                                                                                   
Puerto Rico................          49.4         910.9      -2.5      501     -0.6
Virgin Islands.............           3.4          37.9      -1.9      706     -0.6

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






Last Modified Date: March 19, 2014