Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Economic News Release
PRINT:Print
QCEW QCEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (EST), Wednesday, December 18, 2013                                USDL-13-2392

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

COUNTY EMPLOYMENT AND WAGES
Second Quarter 2013

From June 2012 to June 2013, employment increased in 288 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 7.0 
percent over the year, compared with national job growth of 1.6 percent. Within Fort Bend, the largest 
employment increase occurred in construction, which gained 2,285 jobs over the year (21.0 percent). 
Atlantic, N.J., had the largest over-the-year decrease in employment among the largest counties in the 
U.S. with a loss of 4.5 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 2.1 percent to $921 in the second quarter of 
2013. Union, N.J., had the largest over-the-year increase in average weekly wages with a gain of 8.1 
percent. Within Union, an average weekly wage gain of $377, or 28.5 percent, in professional and 
business services made the largest contribution to the increase in average weekly wages. Davidson, 
Tenn., experienced the largest decrease in average weekly wages with a loss of 2.2 percent over the year.

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

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2013 employment      |      Increase in employment,     |  Percent increase in employment,
            (thousands)           |            June 2012-13          |            June 2012-13
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           135,094.0| United States             2,088.2| United States                 1.6
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,070.9| Los Angeles, Calif.          80.6| Fort Bend, Texas              7.0
 Cook, Ill.                2,452.3| Harris, Texas                67.4| Midland, Texas                6.0
 New York, N.Y.            2,434.0| Maricopa, Ariz.              42.3| Douglas, Colo.                5.8
 Harris, Texas             2,189.9| Dallas, Texas                39.1| Elkhart, Ind.                 5.1
 Maricopa, Ariz.           1,678.7| Orange, Calif.               37.5| Placer, Calif.                4.9
 Dallas, Texas             1,495.5| New York, N.Y.               35.9| Weld, Colo.                   4.8
 Orange, Calif.            1,448.0| Santa Clara, Calif.          33.7| Travis, Texas                 4.8
 San Diego, Calif.         1,310.5| King, Wash.                  33.2| Utah, Utah                    4.7
 King, Wash.               1,205.5| Travis, Texas                29.1| Hamilton, Ind.                4.6
 Miami-Dade, Fla.            999.8| Cook, Ill.                   28.0| Williamson, Tenn.             4.2
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Employment

In June 2013, national employment was 135.1 million (as measured by the QCEW program). Over the 
year, employment increased 1.6 percent, or 2.1 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 1.6 million over the year, accounting for 78.3 percent of the overall 
U.S. employment increase.

Fort Bend, Texas, had the largest percentage increase in employment (7.0 percent) among the largest 
U.S. counties. The five counties with the largest increases in employment level were Los Angeles, Calif.; 
Harris, Texas; Maricopa, Ariz.; Dallas, Texas; and Orange, Calif. These counties had a combined over-
the-year employment gain of 266,900 jobs, which was 12.8 percent of the overall job increase for the 
U.S. (See table A.)

Employment declined in 36 of the large counties from June 2012 to June 2013. Atlantic, N.J., had the 
largest over-the-year percentage decrease in employment (-4.5 percent). Within Atlantic, natural 
resources and mining had the largest decrease in employment with a loss of 4,199 (-53.9 percent). 
Caddo, La., had the second largest percentage decrease in employment, followed by Oneida, N.Y., and 
Peoria, Ill. Three counties, Winnebago, Ill., Broome, N.Y., and Jefferson, Texas, tied for the fifth largest 
percentage decrease. (See table 1.)

Table B.  Large counties ranked by second quarter 2013 average weekly wages, second quarter 2012-13
increase in average weekly wages, and second 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
        second quarter 2013       |    wage, second quarter 2012-13  |        weekly wage, second
                                  |                                  |          quarter 2012-13
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $921| United States                 $19| United States                 2.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $1,810| San Mateo, Calif.            $121| Union, N.J.                   8.1
 New York, N.Y.              1,675| Union, N.J.                    91| San Mateo, Calif.             8.0
 San Mateo, Calif.           1,632| Williamson, Tenn.              76| Williamson, Tenn.             7.8
 Washington, D.C.            1,575| Santa Clara, Calif.            73| Rockingham, N.H.              6.9
 Arlington, Va.              1,525| Rockingham, N.H.               59| Dane, Wis.                    6.0
 San Francisco, Calif.       1,512| Lake, Ill.                     56| Clayton, Ga.                  5.6
 Fairfax, Va.                1,459| Midland, Texas                 56| Saratoga, N.Y.                5.5
 Fairfield, Conn.            1,435| Chester, Pa.                   53| Fort Bend, Texas              5.1
 Suffolk, Mass.              1,410| Morris, N.J.                   52| Midland, Texas                5.1
 Middlesex, Mass.            1,371| Dane, Wis.                     52| Lake, Ill.                    4.9
                                  |                                  | Montgomery, Texas             4.9
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased 2.1 percent during the year ending in the second quarter 
of 2013. Among the 334 largest counties, 304 had over-the-year increases in average weekly wages. 
Union, N.J., had the largest wage increase among the largest U.S. counties (8.1 percent).

Of the 334 largest counties, 18 experienced over-the-year decreases in average weekly wages. Davidson, 
Tenn., had the largest average weekly wage decrease with a loss of 2.2 percent. Within Davidson, 
financial activities had the largest impact on the county’s average weekly wage decrease. Within this 
industry, average weekly wages declined by $254 (-16.2 percent) over the year. Whatcom, Wash., had 
the second largest decrease in average weekly wages, followed by Washington, Ore., and Shelby, Tenn., 
which tied for the third largest percentage decrease. Two counties, El Paso, Colo., and Wyandotte, Kan., 
tied for the fifth largest percentage decrease. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in June 2013. 
Harris, Texas, had the largest gain (3.2 percent). Within Harris, trade, transportation, and utilities had the 
largest over-the-year employment level increase among all private industry groups with a gain of 13,618, 
or 3.1 percent. Cook, Ill., had the smallest percentage increase in employment (1.2 percent) among the 10 
largest counties. (See table 2.)

All of the 10 largest U.S. counties had over-the-year increases in average weekly wages. San Diego, 
Calif., experienced the largest gain in average weekly wages (4.0 percent). Within San Diego, 
professional and business services had the largest impact on the county’s average weekly wage growth. 
Within this industry, average weekly wages increased by $130, or 9.2 percent, over the year. Los 
Angeles and Orange, Calif., tied for the smallest average weekly wage increase (0.4 percent each) among 
the 10 largest counties.

For More Information

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

The employment and wage data by county are compiled under the QCEW program, also known as the 
ES-202 program. The data are derived from reports submitted by every employer subject to 
unemployment insurance (UI) laws. The 9.2 million employer reports cover 135.1 million full- and part-
time workers. For additional information about the quarterly employment and wages data, please read 
the Technical Note. Data for the second quarter of 2013 will be available later at 
http://www.bls.gov/cew/. Additional information about the QCEW data may be obtained by calling 
(202)691-6567.

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

_____________
The County Employment and Wages release for third quarter 2013 is scheduled to be released on 
Wednesday, March 19, 2014.






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,
second quarter 2013(2)

                                                   Employment               Average weekly wage(4)

                          Establishments,
        County(3)          second quarter               Percent   Ranking            Percent   Ranking
                                2013          June      change,      by    Second    change,      by
                            (thousands)       2013       June     percent  quarter   second    percent
                                          (thousands) 2012-13(5)   change    2013    quarter    change
                                                                                   2012-13(5)
                                                                                                     
United States(6).........       9,248.7     135,094.0       1.6        -      $921       2.1       - 
                                                                                                     
Jefferson, AL............          17.5         340.1       1.0       203      917       0.3      297
Madison, AL..............           8.9         182.9       2.2        99    1,030       1.7      170
Mobile, AL...............           9.5         164.8       0.3       266      804       1.8      159
Montgomery, AL...........           6.3         129.7       1.1       191      784       0.0      305
Tuscaloosa, AL...........           4.2          85.5       0.9       216      797       0.9      254
Anchorage Borough, AK....           8.4         155.4       0.0       289    1,009       1.3      218
Maricopa, AZ.............          93.4       1,678.7       2.6        69      919       1.5      197
Pima, AZ.................          18.7         343.6      -0.1       298      812       2.3       98
Benton, AR...............           5.7          98.7       2.8        50      900       3.0       59
Pulaski, AR..............          14.6         242.7      -0.6       314      844       2.4       95
                                                                                                     
Washington, AR...........           5.7          95.3       2.7        62      751       3.3       43
Alameda, CA..............          55.3         682.8       2.8        50    1,175       0.3      297
Contra Costa, CA.........          29.1         334.4       2.1       106    1,123       3.3       43
Fresno, CA...............          29.5         361.3       2.2        99      706       1.0      248
Kern, CA.................          17.0         309.3       2.3        91      803      -0.6      320
Los Angeles, CA..........         425.8       4,070.9       2.0       114    1,002       0.4      290
Marin, CA................          11.8         110.2       3.0        42    1,136       2.1      123
Monterey, CA.............          12.6         192.2       2.1       106      779       1.6      183
Orange, CA...............         104.9       1,448.0       2.7        62    1,019       0.4      290
Placer, CA...............          11.0         138.7       4.9         5      895       1.5      197
                                                                                                     
Riverside, CA............          50.5         597.9       2.8        50      761       2.4       95
Sacramento, CA...........          50.5         603.2       1.3       172    1,016       0.3      297
San Bernardino, CA.......          49.3         628.5       2.0       114      791       0.5      286
San Diego, CA............          98.6       1,310.5       1.6       150    1,031       4.0       20
San Francisco, CA........          55.3         611.2       3.5        22    1,512       2.2      111
San Joaquin, CA..........          16.4         215.2      -1.8       326      757       0.3      297
San Luis Obispo, CA......           9.6         109.2       1.6       150      760       1.7      170
San Mateo, CA............          24.9         355.5       3.4        23    1,632       8.0        2
Santa Barbara, CA........          14.4         191.3       2.1       106      885       2.5       85
Santa Clara, CA..........          63.4         939.4       3.7        18    1,810       4.2       16
                                                                                                     
Santa Cruz, CA...........           9.0         102.0       1.8       131      830       0.5      286
Solano, CA...............           9.8         126.0       2.1       106      933       3.9       21
Sonoma, CA...............          18.5         184.0       3.2        28      842       1.0      248
Stanislaus, CA...........          13.9         170.7       1.6       150      754      -0.3      316
Tulare, CA...............           9.0         154.0       2.4        84      639       0.9      254
Ventura, CA..............          24.2         311.5       1.3       172      951       3.5       34
Yolo, CA.................           5.9          92.7       0.3       266      944       1.4      209
Adams, CO................           9.0         175.8       4.0        12      886       2.3       98
Arapahoe, CO.............          19.3         298.6       3.3        24    1,061       2.8       69
Boulder, CO..............          13.3         165.7       2.8        50    1,074       2.7       76
                                                                                                     
Denver, CO...............          27.0         441.4       3.3        24    1,093       1.1      237
Douglas, CO..............          10.0         105.2       5.8         3    1,014       1.0      248
El Paso, CO..............          17.0         245.7       2.2        99      835      -1.1      326
Jefferson, CO............          17.9         219.5       2.8        50      937       3.4       36
Larimer, CO..............          10.3         140.1       3.0        42      786       0.4      290
Weld, CO.................           5.9          90.3       4.8         6      791       0.6      281
Fairfield, CT............          33.3         419.7       1.3       172    1,435       0.7      267
Hartford, CT.............          26.0         502.2       1.1       191    1,120       2.2      111
New Haven, CT............          22.8         361.9       0.8       226      968       1.8      159
New London, CT...........           7.0         124.3      -1.1       320      939       1.4      209
                                                                                                     
New Castle, DE...........          16.9         269.9       1.6       150    1,093       2.3       98
Washington, DC...........          34.9         725.0       0.9       216    1,575       2.1      123
Alachua, FL..............           6.6         116.0       0.2       276      799       1.9      143
Brevard, FL..............          14.6         186.7      -0.5       311      839       0.6      281
Broward, FL..............          65.0         710.2       2.6        69      861       3.4       36
Collier, FL..............          12.3         114.9       3.8        16      798       2.2      111
Duval, FL................          27.6         447.0       1.6       150      878       2.0      133
Escambia, FL.............           8.0         120.9       2.3        91      728       0.0      305
Hillsborough, FL.........          39.0         594.9       2.6        69      884       1.7      170
Lake, FL.................           7.4          79.2       3.2        28      633       2.8       69
                                                                                                     
Lee, FL..................          19.4         204.2       3.6        20      739       1.2      227
Leon, FL.................           8.3         135.4       0.4       254      768       0.0      305
Manatee, FL..............           9.6         103.9       3.0        42      721       2.0      133
Marion, FL...............           8.0          90.7       0.7       233      668       2.0      133
Miami-Dade, FL...........          92.6         999.8       2.5        78      885       1.1      237
Okaloosa, FL.............           6.1          77.4       0.8       226      766       0.7      267
Orange, FL...............          37.4         699.4       3.6        20      806       2.0      133
Palm Beach, FL...........          50.9         517.0       2.8        50      892       2.3       98
Pasco, FL................          10.1          94.4       3.0        42      687       3.3       43
Pinellas, FL.............          31.2         390.2       2.0       114      809       0.5      286
                                                                                                     
Polk, FL.................          12.5         188.2       1.9       124      712       1.9      143
Sarasota, FL.............          14.7         139.8       3.7        18      777       2.9       62
Seminole, FL.............          14.0         159.9       2.3        91      784       3.7       29
Volusia, FL..............          13.5         148.6       0.8       226      675       1.4      209
Bibb, GA.................           4.5          79.9       0.2       276      743       (7)       - 
Chatham, GA..............           7.9         137.0       2.2        99      763       0.8      262
Clayton, GA..............           4.3         111.0       0.3       266      871       5.6        6
Cobb, GA.................          22.1         312.8       1.9       124      985       2.5       85
De Kalb, GA..............          18.2         274.6       0.4       254      957       2.1      123
Fulton, GA...............          42.7         743.4       2.6        69    1,204       1.9      143
                                                                                                     
Gwinnett, GA.............          24.5         311.2       2.5        78      900       1.9      143
Muscogee, GA.............           4.7          94.3       0.0       289      730       2.1      123
Richmond, GA.............           4.7          98.7       1.2       183      782      -0.1      314
Honolulu, HI.............          24.8         451.5       1.7       143      856       1.5      197
Ada, ID..................          13.6         206.3       3.2        28      793       1.4      209
Champaign, IL............           4.4          87.8       0.4       254      795       0.8      262
Cook, IL.................         152.6       2,452.3       1.2       183    1,067       1.3      218
Du Page, IL..............          38.0         597.6       1.7       143    1,065       1.4      209
Kane, IL.................          13.7         203.5       1.4       164      801       1.6      183
Lake, IL.................          22.6         335.2       1.3       172    1,206       4.9       10
                                                                                                     
McHenry, IL..............           8.8          95.9       0.1       282      766       3.1       53
McLean, IL...............           3.9          85.4       0.2       276      955       3.1       53
Madison, IL..............           6.1          95.0      -0.6       314      753       1.1      237
Peoria, IL...............           4.7         102.9      -2.0       330      871       1.0      248
St. Clair, IL............           5.7          91.8      -1.3       321      737       0.0      305
Sangamon, IL.............           5.3         126.5      -1.4       323      941       2.1      123
Will, IL.................          15.7         213.2       2.7        62      810       1.4      209
Winnebago, IL............           6.9         124.3      -1.9       327      793       2.5       85
Allen, IN................           8.9         176.0       0.6       241      745       1.5      197
Elkhart, IN..............           4.8         117.7       5.1         4      767       3.0       59
                                                                                                     
Hamilton, IN.............           8.7         122.0       4.6         9      860       2.0      133
Lake, IN.................          10.4         189.2      -0.1       298      847       0.4      290
Marion, IN...............          24.0         572.6       1.1       191      923       2.1      123
St. Joseph, IN...........           5.9         114.1       0.0       289      752      -0.5      319
Tippecanoe, IN...........           3.3          78.4      -0.7       316      786       1.2      227
Vanderburgh, IN..........           4.8         103.8      -1.5       325      753       3.6       30
Johnson, IA..............           3.8          79.7       2.0       114      848       2.5       85
Linn, IA.................           6.4         129.7       0.5       244      876       3.5       34
Polk, IA.................          15.6         281.8       2.7        62      897       1.5      197
Scott, IA................           5.4          90.2       0.5       244      750       1.8      159
                                                                                                     
Johnson, KS..............          21.1         323.6       2.6        69      950       2.7       76
Sedgwick, KS.............          12.1         242.3       0.9       216      843       3.1       53
Shawnee, KS..............           4.7          95.6       1.1       191      784       1.7      170
Wyandotte, KS............           3.2          83.9       1.1       191      832      -1.1      326
Boone, KY................           4.0          77.4       0.5       244      835       1.6      183
Fayette, KY..............          10.1         180.3       1.0       203      821       1.6      183
Jefferson, KY............          23.8         432.1       1.2       183      905       1.2      227
Caddo, LA................           7.4         115.2      -3.1       332      751       0.7      267
Calcasieu, LA............           4.9          86.1       1.4       164      778       1.8      159
East Baton Rouge, LA.....          14.7         259.4       1.8       131      882       3.3       43
                                                                                                     
Jefferson, LA............          13.6         194.6       1.5       158      828       1.3      218
Lafayette, LA............           9.2         140.9       1.3       172      900       1.8      159
Orleans, LA..............          11.3         177.1       2.3        91      910       0.8      262
St. Tammany, LA..........           7.6          80.7       2.6        69      770       3.9       21
Cumberland, ME...........          12.7         175.5       0.8       226      825       2.2      111
Anne Arundel, MD.........          14.9         255.8       2.1       106      981       0.6      281
Baltimore, MD............          21.5         364.5       1.0       203      920       1.0      248
Frederick, MD............           6.3          96.5       0.9       216      880      -0.9      324
Harford, MD..............           5.7          90.1       1.1       191      900       (7)       - 
Howard, MD...............           9.5         162.7       0.3       266    1,114       1.9      143
                                                                                                     
Montgomery, MD...........          33.7         458.2       0.5       244    1,246       2.0      133
Prince Georges, MD.......          15.9         303.3       0.5       244      979       0.0      305
Baltimore City, MD.......          14.1         332.2       0.3       266    1,049       2.5       85
Barnstable, MA...........           9.0         102.3       0.8       226      768       1.2      227
Bristol, MA..............          16.3         217.5       0.7       233      842       2.1      123
Essex, MA................          22.1         315.0       0.3       266      979       2.8       69
Hampden, MA..............          15.9         201.1      -0.3       306      832       0.0      305
Middlesex, MA............          49.8         847.7       1.9       124    1,371       2.2      111
Norfolk, MA..............          23.6         335.1       1.8       131    1,066       1.1      237
Plymouth, MA.............          14.2         184.1       1.5       158      889       2.5       85
                                                                                                     
Suffolk, MA..............          24.3         608.1       1.7       143    1,410       1.8      159
Worcester, MA............          21.9         328.3       1.2       183      926       1.3      218
Genesee, MI..............           7.2         132.8       1.4       164      751       1.1      237
Ingham, MI...............           6.3         150.5       0.9       216      855       1.1      237
Kalamazoo, MI............           5.3         112.3       1.3       172      842       3.2       49
Kent, MI.................          14.1         349.5       2.8        50      809       0.7      267
Macomb, MI...............          17.4         305.9       3.2        28      928       1.9      143
Oakland, MI..............          38.4         686.8       2.4        84    1,015       1.4      209
Ottawa, MI...............           5.6         111.9       2.9        48      762       2.3       98
Saginaw, MI..............           4.2          83.6       0.5       244      733       0.7      267
                                                                                                     
Washtenaw, MI............           8.3         194.9       1.1       191      979       1.3      218
Wayne, MI................          31.5         691.1       0.9       216      998       2.3       98
Anoka, MN................           7.2         116.8       3.8        16      881       1.4      209
Dakota, MN...............          10.1         180.3       1.7       143      900       2.6       82
Hennepin, MN.............          41.0         866.7       2.4        84    1,141       1.7      170
Olmsted, MN..............           3.5          93.8       1.1       191    1,053       2.3       98
Ramsey, MN...............          14.0         322.3       1.2       183    1,029       2.2      111
St. Louis, MN............           5.6          97.3       1.7       143      750       3.2       49
Stearns, MN..............           4.4          82.5       1.4       164      750       3.3       43
Harrison, MS.............           4.5          83.7      -0.4       310      677       1.7      170
                                                                                                     
Hinds, MS................           6.0         120.3      -0.1       298      811       1.8      159
Boone, MO................           4.6          89.1       2.8        50      719       0.8      262
Clay, MO.................           5.2          91.2       2.4        84      839       3.2       49
Greene, MO...............           8.1         155.1       1.0       203      708       1.9      143
Jackson, MO..............          19.1         351.5       1.0       203      920       0.0      305
St. Charles, MO..........           8.4         132.8       3.3        24      756       1.6      183
St. Louis, MO............          32.7         575.9       1.5       158      971       1.6      183
St. Louis City, MO.......           9.8         221.4       0.1       282      972       3.1       53
Yellowstone, MT..........           6.2          78.5       1.0       203      806       4.8       12
Douglas, NE..............          18.3         321.0       0.7       233      831       2.6       82
                                                                                                     
Lancaster, NE............           9.8         160.2       1.3       172      743       1.6      183
Clark, NV................          49.9         842.7       2.5        78      822       1.9      143
Washoe, NV...............          13.7         190.0       2.1       106      814       0.7      267
Hillsborough, NH.........          12.1         192.0       0.4       254      987       0.9      254
Rockingham, NH...........          10.5         141.2       1.3       172      908       6.9        4
Atlantic, NJ.............           6.6         138.8      -4.5       333      785       2.5       85
Bergen, NJ...............          32.9         440.1       1.8       131    1,124      -0.4      317
Burlington, NJ...........          11.0         201.4       1.4       164      975       1.5      197
Camden, NJ...............          12.0         197.4       0.0       289      904       1.2      227
Essex, NJ................          20.4         336.5       0.2       276    1,129       3.4       36
                                                                                                     
Gloucester, NJ...........           6.1          99.7       0.2       276      809       2.5       85
Hudson, NJ...............          14.0         236.3       0.9       216    1,248       1.1      237
Mercer, NJ...............          11.0         235.9       1.1       191    1,179       2.3       98
Middlesex, NJ............          21.8         392.5       0.5       244    1,095       2.7       76
Monmouth, NJ.............          20.0         253.9       1.0       203      932       2.3       98
Morris, NJ...............          17.1         282.3       1.7       143    1,323       4.1       19
Ocean, NJ................          12.4         161.9       1.4       164      761       2.4       95
Passaic, NJ..............          12.2         171.1      -0.2       304      934       0.4      290
Somerset, NJ.............          10.1         181.2       1.8       131    1,370       1.5      197
Union, NJ................          14.3         225.2       0.8       226    1,217       8.1        1
                                                                                                     
Bernalillo, NM...........          17.7         310.4       0.4       254      802       0.0      305
Albany, NY...............          10.1         224.5       0.5       244      965       3.9       21
Bronx, NY................          17.4         244.4       2.4        84      888       1.8      159
Broome, NY...............           4.6          90.0      -1.9       327      745       1.5      197
Dutchess, NY.............           8.4         112.4       0.7       233      961      -0.1      314
Erie, NY.................          24.1         459.3      -0.2       304      807       1.6      183
Kings, NY................          55.3         537.5       2.4        84      744       1.1      237
Monroe, NY...............          18.4         380.2       0.0       289      869       0.9      254
Nassau, NY...............          53.3         609.5       1.8       131    1,046       0.1      302
New York, NY.............         125.0       2,434.0       1.5       158    1,675       1.8      159
                                                                                                     
Oneida, NY...............           5.3         105.1      -2.3       331      761       2.8       69
Onondaga, NY.............          13.0         243.6      -0.1       298      856       0.7      267
Orange, NY...............           9.9         134.6       0.3       266      820       1.7      170
Queens, NY...............          48.6         537.1       2.6        69      852       0.7      267
Richmond, NY.............           9.2          95.0       3.1        37      787       2.2      111
Rockland, NY.............          10.1         118.6       0.7       233      995       0.7      267
Saratoga, NY.............           5.7          82.5       1.7       143      859       5.5        7
Suffolk, NY..............          51.6         652.8       1.3       172      996       2.2      111
Westchester, NY..........          36.2         416.2       0.4       254    1,244       4.2       16
Buncombe, NC.............           8.0         116.4       2.6        69      690       1.3      218
                                                                                                     
Catawba, NC..............           4.3          80.5       0.7       233      694       1.9      143
Cumberland, NC...........           6.1         119.4      -0.1       298      748       0.5      286
Durham, NC...............           7.3         185.0       2.0       114    1,202       3.4       36
Forsyth, NC..............           9.0         175.0       1.8       131      834       3.6       30
Guilford, NC.............          14.0         265.7       1.9       124      809       3.6       30
Mecklenburg, NC..........          32.8         578.7       3.1        37    1,026       2.2      111
New Hanover, NC..........           7.3          99.5       1.6       150      738       0.4      290
Wake, NC.................          29.6         475.3       2.5        78      929       3.3       43
Cass, ND.................           6.3         110.2       2.3        91      810       2.9       62
Butler, OH...............           7.4         139.8       1.4       164      805       2.2      111
                                                                                                     
Cuyahoga, OH.............          35.7         715.5       1.2       183      931       1.7      170
Delaware, OH.............           4.5          83.0       2.2        99      908       2.7       76
Franklin, OH.............          29.7         689.6       2.2        99      935       0.2      301
Hamilton, OH.............          23.1         498.6       0.6       241      999       3.0       59
Lake, OH.................           6.3          95.3       0.0       289      754      -0.7      323
Lorain, OH...............           6.0          97.0      -0.1       298      764       1.9      143
Lucas, OH................          10.1         203.1       0.1       282      800      -0.6      320
Mahoning, OH.............           6.0          97.5       0.1       282      656       1.2      227
Montgomery, OH...........          11.9         243.8      -0.5       311      801       1.6      183
Stark, OH................           8.8         157.0       0.9       216      706       2.8       69
                                                                                                     
Summit, OH...............          14.1         258.9       0.5       244      816       1.6      183
Warren, OH...............           4.3          84.5       2.8        50      800       4.7       13
Oklahoma, OK.............          25.5         436.7       1.0       203      875       4.2       16
Tulsa, OK................          21.0         336.7       0.7       233      862       3.4       36
Clackamas, OR............          12.9         145.7       2.7        62      861       1.3      218
Jackson, OR..............           6.7          78.8       3.1        37      708       3.8       27
Lane, OR.................          10.9         140.8       1.3       172      735       3.4       36
Marion, OR...............           9.5         139.0       3.2        28      745       2.1      123
Multnomah, OR............          30.3         454.7       2.6        69      943       2.5       85
Washington, OR...........          16.8         258.6       2.5        78    1,105      -1.3      328
                                                                                                     
Allegheny, PA............          34.8         695.4       0.3       266    1,001       3.9       21
Berks, PA................           8.8         164.8       0.4       254      846       3.9       21
Bucks, PA................          19.5         254.1       0.7       233      891       1.4      209
Butler, PA...............           4.9          85.6      -0.3       306      865       3.2       49
Chester, PA..............          15.0         240.7       0.3       266    1,213       4.6       14
Cumberland, PA...........           6.1         126.4       0.8       226      877       2.7       76
Dauphin, PA..............           7.3         179.6       0.4       254      903       1.7      170
Delaware, PA.............          13.7         215.1       1.3       172      973       1.6      183
Erie, PA.................           7.1         125.5      -0.8       317      731       1.1      237
Lackawanna, PA...........           5.8          96.9       0.2       276      696       1.2      227
                                                                                                     
Lancaster, PA............          12.8         224.5       0.4       254      758       1.3      218
Lehigh, PA...............           8.6         181.2       1.6       150      912       3.1       53
Luzerne, PA..............           7.6         139.8       0.1       282      723       1.7      170
Montgomery, PA...........          27.0         475.1       0.6       241    1,145       2.9       62
Northampton, PA..........           6.5         105.2       1.1       191      802       3.1       53
Philadelphia, PA.........          34.7         633.7       0.5       244    1,100       2.9       62
Washington, PA...........           5.3          87.1       0.1       282      895       1.9      143
Westmoreland, PA.........           9.3         134.4      -1.3       321      740       1.9      143
York, PA.................           8.9         172.5       1.1       191      805       2.8       69
Providence, RI...........          17.4         273.2       1.0       203      908       2.0      133
                                                                                                     
Charleston, SC...........          12.3         218.7       1.0       203      799       3.6       30
Greenville, SC...........          12.6         239.1       3.2        28      796       0.1      302
Horry, SC................           7.9         121.0       1.9       124      537       0.9      254
Lexington, SC............           5.9         101.7       2.3        91      707       2.6       82
Richland, SC.............           9.1         206.4       1.8       131      804       0.6      281
Spartanburg, SC..........           5.8         120.0       3.3        24      811       1.5      197
York, SC.................           4.7          78.5       3.1        37      722      -0.6      320
Minnehaha, SD............           6.7         120.1       1.8       131      772       1.2      227
Davidson, TN.............          18.8         441.2       2.8        50      928      -2.2      331
Hamilton, TN.............           8.6         187.3       1.2       183      819       1.9      143
                                                                                                     
Knox, TN.................          11.0         219.0       0.0       289      795       2.3       98
Rutherford, TN...........           4.6         109.0       (7)        -       799       (7)       - 
Shelby, TN...............          19.2         473.7       0.0       289      945      -1.3      328
Williamson, TN...........           6.7         103.2       4.2        10    1,055       7.8        3
Bell, TX.................           4.9         110.1       1.0       203      755       2.0      133
Bexar, TX................          36.0         773.2       3.0        42      812       1.6      183
Brazoria, TX.............           5.1          95.2       1.5       158      916       1.7      170
Brazos, TX...............           4.1          88.9       1.9       124      701       2.2      111
Cameron, TX..............           6.3         132.7       1.6       150      572       0.7      267
Collin, TX...............          20.0         328.0       3.9        14    1,076       1.5      197
                                                                                                     
Dallas, TX...............          70.1       1,495.5       2.7        62    1,106       2.9       62
Denton, TX...............          12.0         196.2       4.1        11      822       3.9       21
El Paso, TX..............          14.2         281.4       0.9       216      658       0.9      254
Fort Bend, TX............          10.3         158.1       7.0         1      951       5.1        8
Galveston, TX............           5.6         100.4       2.2        99      808      -0.9      324
Gregg, TX................           4.2          77.7       1.4       164      838       2.9       62
Harris, TX...............         105.6       2,189.9       3.2        28    1,190       2.1      123
Hidalgo, TX..............          11.6         234.4       2.8        50      592       1.2      227
Jefferson, TX............           5.8         119.6      -1.9       327      925       0.1      302
Lubbock, TX..............           7.2         128.5       2.3        91      702       1.9      143
                                                                                                     
McLennan, TX.............           4.9         103.3       1.8       131      751       1.1      237
Midland, TX..............           5.1          85.4       6.0         2    1,150       5.1        8
Montgomery, TX...........           9.5         149.3       3.9        14      917       4.9       10
Nueces, TX...............           8.0         161.1       2.4        84      809       0.6      281
Potter, TX...............           3.9          77.7       1.9       124      736       0.8      262
Smith, TX................           5.8          96.0       1.8       131      769       0.9      254
Tarrant, TX..............          39.3         809.4       2.7        62      908       1.8      159
Travis, TX...............          33.3         639.7       4.8         6    1,008       0.0      305
Webb, TX.................           5.0          92.8       2.1       106      647       1.7      170
Williamson, TX...........           8.3         140.3       3.2        28      896       3.8       27
                                                                                                     
Davis, UT................           7.5         111.9       2.0       114      737       1.7      170
Salt Lake, UT............          38.8         609.5       3.2        28      875       2.3       98
Utah, UT.................          13.3         187.1       4.7         8      735       4.3       15
Weber, UT................           5.5          93.3       2.0       114      700       0.7      267
Chittenden, VT...........           6.2          98.8       0.4       254      945       3.4       36
Arlington, VA............           8.8         166.0      -1.0       319    1,525       1.5      197
Chesterfield, VA.........           7.9         123.9       3.0        42      821       1.9      143
Fairfax, VA..............          35.2         595.9       0.4       254    1,459       2.7       76
Henrico, VA..............          10.2         180.4       0.3       266      918       2.5       85
Loudoun, VA..............          10.2         149.0       2.0       114    1,090       0.7      267
                                                                                                     
Prince William, VA.......           8.1         119.5       2.9        48      819       0.4      290
Alexandria City, VA......           6.3          95.5      -0.3       306    1,323       2.3       98
Chesapeake City, VA......           5.7          96.3       1.0       203      740      -0.4      317
Newport News City, VA....           3.7          97.7       4.0        12      873       0.9      254
Norfolk City, VA.........           5.6         136.8      -0.9       318      888       1.3      218
Richmond City, VA........           7.1         147.8       0.4       254      987       2.0      133
Virginia Beach City, VA..          11.3         175.2       2.0       114      725       2.0      133
Benton, WA...............           5.9          83.3       0.1       282      932       1.1      237
Clark, WA................          14.3         134.8       2.3        91      842       1.9      143
King, WA.................          85.2       1,205.5       2.8        50    1,202       2.9       62
                                                                                                     
Kitsap, WA...............           6.9          80.9      -0.3       306      829       0.7      267
Pierce, WA...............          22.6         271.6       2.0       114      850       1.6      183
Snohomish, WA............          20.2         265.3       2.5        78      992       1.6      183
Spokane, WA..............          16.5         204.3       1.5       158      779       2.1      123
Thurston, WA.............           7.9         100.4       1.8       131      834       2.2      111
Whatcom, WA..............           7.2          83.5       2.1       106      763      -1.5      330
Yakima, WA...............           9.3         114.0       3.1        37      629       2.3       98
Kanawha, WV..............           6.0         105.1      -0.5       311      819       0.7      267
Brown, WI................           6.6         150.4       1.0       203      805       2.8       69
Dane, WI.................          14.4         311.3       1.1       191      925       6.0        5
                                                                                                     
Milwaukee, WI............          24.1         474.5       0.0       289      892       1.8      159
Outagamie, WI............           5.0         104.1       1.2       183      761       1.5      197
Waukesha, WI.............          12.6         233.7       0.9       216      905       1.2      227
Winnebago, WI............           3.6          90.4      -1.4       323      842       1.0      248
San Juan, PR.............          11.3         258.3      -2.0       (8)      601       0.8      (8)

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 334 U.S. counties comprise 71.4 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) Data do not meet BLS or state agency disclosure standards.
(8) This county was not included in the U.S. rankings.

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

                                                                    Employment         Average weekly
                                                                                           wage(3)
                                              Establishments,
                                               second quarter 
         County by NAICS supersector                2013                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2013       June     quarter  second
                                                              (thousands) 2012-13(4)   2013    quarter
                                                                                             2012-13(4)


United States(5) ............................       9,248.7     135,094.0       1.6     $921       2.1
  Private industry...........................       8,954.6     113,985.0       1.9      910       2.2
    Natural resources and mining.............         132.9       2,151.6       1.3    1,033       3.4
    Construction.............................         747.6       5,967.8       3.9      986       2.3
    Manufacturing............................         335.9      12,061.7       0.4    1,130       1.9
    Trade, transportation, and utilities.....       1,905.5      25,608.9       1.5      781       2.1
    Information..............................         145.0       2,713.2       0.6    1,527       5.1
    Financial activities.....................         819.5       7,661.7       1.8    1,360       3.1
    Professional and business services.......       1,635.6      18,540.3       2.6    1,183       2.4
    Education and health services............       1,444.8      20,098.1       1.6      844       1.4
    Leisure and hospitality..................         781.8      14,776.7       2.9      379       1.3
    Other services...........................         795.3       4,217.3       0.7      621       2.8
  Government.................................         294.1      21,108.9      -0.4      979       1.7

Los Angeles, CA..............................         425.8       4,070.9       2.0    1,002       0.4
  Private industry...........................         420.0       3,534.9       2.7      971       0.3
    Natural resources and mining.............           0.5          10.2      10.2    1,457      10.0
    Construction.............................          12.3         115.9       5.4    1,053       0.7
    Manufacturing............................          12.5         367.2      -0.4    1,087       2.1
    Trade, transportation, and utilities.....          52.1         766.3       1.7      833       1.3
    Information..............................           8.4         192.5       5.6    1,727      -3.0
    Financial activities.....................          22.6         211.9       0.7    1,497       2.6
    Professional and business services.......          43.7         586.8       3.0    1,217      -1.1
    Education and health services............         187.1         682.3       2.4      801       0.9
    Leisure and hospitality..................          28.0         443.0       5.1      542      -1.8
    Other services...........................          25.3         141.2      -0.9      637       3.6
  Government.................................           5.8         536.0      -2.2    1,203       1.3

Cook, IL.....................................         152.6       2,452.3       1.2    1,067       1.3
  Private industry...........................         151.2       2,150.6       1.2    1,048       1.2
    Natural resources and mining.............           0.1           0.9      -2.7      998       6.2
    Construction.............................          12.6          65.7       2.1    1,287       3.8
    Manufacturing............................           6.6         188.8      -1.9    1,083      -1.5
    Trade, transportation, and utilities.....          30.2         447.9       1.2      849       2.9
    Information..............................           2.8          54.5      -1.2    1,582       3.0
    Financial activities.....................          15.8         185.6       0.2    1,819       0.3
    Professional and business services.......          32.4         433.5       2.1    1,351       1.0
    Education and health services............          16.1         416.9       1.4      891       1.4
    Leisure and hospitality..................          13.6         258.2       3.2      480       2.3
    Other services...........................          16.9          95.6      -1.6      798       2.6
  Government.................................           1.3         301.8       1.1    1,199       2.2

New York, NY.................................         125.0       2,434.0       1.5    1,675       1.8
  Private industry...........................         124.7       1,998.2       1.8    1,802       2.0
    Natural resources and mining.............           0.0           0.2       4.0    2,366      49.7
    Construction.............................           2.2          33.4       4.0    1,668       3.2
    Manufacturing............................           2.3          25.9       0.5    1,194       0.7
    Trade, transportation, and utilities.....          21.0         256.9       1.5    1,289       5.0
    Information..............................           4.5         143.9       0.8    2,230       8.5
    Financial activities.....................          19.1         351.9      -1.2    3,321       2.5
    Professional and business services.......          26.3         505.1       2.8    2,040       0.9
    Education and health services............           9.5         313.5       2.6    1,145       2.5
    Leisure and hospitality..................          13.4         265.8       2.7      760      -0.3
    Other services...........................          19.5          95.3       2.2    1,061       4.3
  Government.................................           0.3         435.9       0.0    1,100      -0.2

Harris, TX...................................         105.6       2,189.9       3.2    1,190       2.1
  Private industry...........................         105.0       1,935.5       3.5    1,214       1.9
    Natural resources and mining.............           1.7          95.1       7.4    3,103       1.3
    Construction.............................           6.5         146.6       5.7    1,208       4.7
    Manufacturing............................           4.6         195.1       3.1    1,450       3.4
    Trade, transportation, and utilities.....          23.8         451.5       3.1    1,057      -4.9
    Information..............................           1.2          28.6      -1.2    1,371       5.0
    Financial activities.....................          10.8         116.5       2.3    1,428       0.5
    Professional and business services.......          21.2         375.6       3.1    1,459       6.4
    Education and health services............          14.5         260.3       2.6      921       3.6
    Leisure and hospitality..................           8.7         203.2       4.1      398      -0.3
    Other services...........................          11.4          61.8       3.6      697       2.2
  Government.................................           0.6         254.5       0.9    1,006       2.8

Maricopa, AZ.................................          93.4       1,678.7       2.6      919       1.5
  Private industry...........................          92.7       1,502.8       3.1      903       1.5
    Natural resources and mining.............           0.5           8.3       7.5      846       3.0
    Construction.............................           7.4          92.4       6.2      947       1.3
    Manufacturing............................           3.1         113.6       0.0    1,329       0.1
    Trade, transportation, and utilities.....          20.6         337.6       1.6      824      -0.2
    Information..............................           1.6          31.6       2.1    1,160       1.8
    Financial activities.....................          10.8         148.6       5.5    1,163       4.2
    Professional and business services.......          21.8         290.1       4.4      978       2.3
    Education and health services............          10.7         248.2       2.0      941       1.4
    Leisure and hospitality..................           7.3         182.4       3.8      424       1.2
    Other services...........................           6.5          47.4      -0.4      631       4.3
  Government.................................           0.7         175.9      -1.6    1,038       2.4

Dallas, TX...................................          70.1       1,495.5       2.7    1,106       2.9
  Private industry...........................          69.6       1,332.6       2.9    1,113       2.8
    Natural resources and mining.............           0.6           9.3       7.3    4,333      12.1
    Construction.............................           4.0          72.2       4.5    1,027       2.8
    Manufacturing............................           2.7         109.1      -3.0    1,314       1.3
    Trade, transportation, and utilities.....          15.2         300.1       2.9    1,012       2.2
    Information..............................           1.5          47.4       4.5    1,772       7.7
    Financial activities.....................           8.6         148.3       4.4    1,476       2.5
    Professional and business services.......          15.6         288.3       2.8    1,234       3.4
    Education and health services............           8.5         174.9       3.1      967       1.3
    Leisure and hospitality..................           6.0         142.3       5.1      451       0.9
    Other services...........................           6.7          40.1       1.5      714       1.9
  Government.................................           0.5         162.9       0.7    1,045       3.4

Orange, CA...................................         104.9       1,448.0       2.7    1,019       0.4
  Private industry...........................         103.5       1,303.3       3.0    1,006       0.5
    Natural resources and mining.............           0.2           3.4      -2.8      694      -5.4
    Construction.............................           6.1          77.4       9.7    1,129       1.3
    Manufacturing............................           4.8         157.2      -0.8    1,246       1.0
    Trade, transportation, and utilities.....          16.4         251.5       2.2      932      -1.1
    Information..............................           1.2          25.1       3.3    1,446       2.7
    Financial activities.....................           9.8         113.3       4.8    1,566       4.1
    Professional and business services.......          19.3         260.8       2.7    1,173       0.7
    Education and health services............          24.7         178.4       2.9      883      -0.3
    Leisure and hospitality..................           7.5         190.4       3.7      438      -1.8
    Other services...........................           6.2          41.1       0.7      632      -1.1
  Government.................................           1.4         144.7      -0.2    1,136       0.1

San Diego, CA................................          98.6       1,310.5       1.6    1,031       4.0
  Private industry...........................          97.2       1,090.4       1.9    1,014       4.8
    Natural resources and mining.............           0.7          10.9      -0.5      658       4.9
    Construction.............................           5.9          61.2       5.3    1,048       0.4
    Manufacturing............................           2.9          94.0      -1.1    1,448       6.8
    Trade, transportation, and utilities.....          13.9         209.6       1.4      798       0.3
    Information..............................           1.1          24.2      -1.8    1,515       2.3
    Financial activities.....................           8.6          71.3       2.2    1,306       9.7
    Professional and business services.......          16.7         221.5       2.1    1,549       9.2
    Education and health services............          26.9         175.8       1.2      876       1.2
    Leisure and hospitality..................           7.3         171.5       3.5      423       1.9
    Other services...........................           6.6          46.3       1.6      559       2.8
  Government.................................           1.4         220.1       0.0    1,114       1.0

King, WA.....................................          85.2       1,205.5       2.8    1,202       2.9
  Private industry...........................          84.6       1,045.7       3.2    1,208       3.1
    Natural resources and mining.............           0.4           3.0       1.4    1,355      -1.4
    Construction.............................           5.3          52.5       6.7    1,153       1.3
    Manufacturing............................           2.2         105.5       2.5    1,484       4.6
    Trade, transportation, and utilities.....          14.4         220.5       3.7    1,064       4.3
    Information..............................           1.8          82.5       1.0    2,328       3.7
    Financial activities.....................           6.3          65.1       3.0    1,445       4.5
    Professional and business services.......          14.3         198.0       3.2    1,471       2.4
    Education and health services............          25.6         155.1       1.4      906       1.0
    Leisure and hospitality..................           6.5         123.4       5.4      456       2.9
    Other services...........................           7.9          40.1       2.3      789       5.1
  Government.................................           0.5         159.8       0.7    1,164       1.8

Miami-Dade, FL...............................          92.6         999.8       2.5      885       1.1
  Private industry...........................          92.3         877.5       2.9      844       1.6
    Natural resources and mining.............           0.5           7.5      -0.9      542       3.6
    Construction.............................           5.2          32.3       8.8      831       3.2
    Manufacturing............................           2.6          36.2       1.8      824       3.6
    Trade, transportation, and utilities.....          27.5         261.2       2.6      796       2.2
    Information..............................           1.6          17.4       3.2    1,444       5.2
    Financial activities.....................           9.5          67.8       3.8    1,316       3.9
    Professional and business services.......          19.5         135.8       4.2    1,026      -0.6
    Education and health services............          10.2         158.3       0.5      869       1.5
    Leisure and hospitality..................           7.0         123.9       4.0      489      -2.6
    Other services...........................           8.1          36.6       1.7      565       3.9
  Government.................................           0.3         122.3      -0.7    1,154      -0.2
 
(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,
second quarter 2013(2)


                                                  Employment        Average weekly
                                                                        wage(3)
                            Establishments,
                             second quarter
            State                 2013                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2013       June    quarter  second
                                            (thousands)   2012-13    2013   quarter
                                                                            2012-13

                                                                                   
United States(4)...........       9,248.7     135,094.0       1.6     $921      2.1
                                                                                   
Alabama....................         115.8       1,859.5       0.9      794      1.4
Alaska.....................          22.1         342.6      -0.1      970      1.6
Arizona....................         145.8       2,438.1       1.8      877      1.7
Arkansas...................          87.2       1,150.4      -0.6      734      2.4
California.................       1,347.4      15,485.8       2.4    1,048      2.0
Colorado...................         174.3       2,359.4       2.9      933      1.6
Connecticut................         112.8       1,666.3       1.0    1,128      1.5
Delaware...................          28.0         417.8       1.8      966      2.0
District of Columbia.......          34.9         725.0       0.9    1,575      2.1
Florida....................         623.7       7,402.0       2.4      822      2.0
                                                                                   
Georgia....................         274.6       3,917.2       1.7      867      2.2
Hawaii.....................          38.7         617.0       1.9      823      1.6
Idaho......................          53.5         642.7       2.7      683      1.9
Illinois...................         401.9       5,750.0       0.8      971      1.9
Indiana....................         160.1       2,863.4       1.1      776      1.7
Iowa.......................          97.4       1,523.9       1.3      757      2.0
Kansas.....................          84.6       1,350.0       1.2      779      2.1
Kentucky...................         117.1       1,790.6       0.6      782      1.3
Louisiana..................         128.1       1,894.7       0.9      824      2.4
Maine......................          49.4         604.4       0.4      732      1.8
                                                                                   
Maryland...................         169.6       2,570.3       0.9    1,005      1.4
Massachusetts..............         225.0       3,352.7       1.3    1,131      2.0
Michigan...................         238.9       4,073.7       2.2      875      2.0
Minnesota..................         171.0       2,745.2       1.9      929      2.4
Mississippi................          70.3       1,094.9       0.7      691      1.5
Missouri...................         180.0       2,668.2       1.2      803      1.6
Montana....................          43.2         448.4       1.5      717      2.4
Nebraska...................          69.8         941.0       0.9      737      2.6
Nevada.....................          74.2       1,168.3       2.3      829      1.7
New Hampshire..............          49.3         629.1       0.8      916      2.9
                                                                                   
New Jersey.................         263.6       3,917.5       1.0    1,084      2.6
New Mexico.................          55.1         795.0       0.4      781     -0.3
New York...................         615.1       8,804.9       1.1    1,118      2.0
North Carolina.............         256.4       3,985.1       1.7      808      2.5
North Dakota...............          30.6         433.7       3.2      887      3.7
Ohio.......................         287.7       5,162.3       1.1      830      1.7
Oklahoma...................         105.6       1,560.7       0.9      794      3.5
Oregon.....................         134.6       1,708.0       2.5      848      1.3
Pennsylvania...............         346.0       5,665.9       0.3      918      2.8
Rhode Island...............          35.5         465.5       1.0      880      2.3
                                                                                   
South Carolina.............         116.5       1,864.9       1.8      747      1.5
South Dakota...............          31.7         417.0       1.0      689      1.8
Tennessee..................         143.4       2,709.3       1.5      820      0.5
Texas......................         606.1      11,078.8       2.7      944      2.4
Utah.......................          87.0       1,259.7       2.8      783      2.2
Vermont....................          24.5         303.1       0.3      808      2.7
Virginia...................         239.6       3,685.4       0.7      968      1.7
Washington.................         243.6       3,013.3       2.2      969      2.4
West Virginia..............          49.8         713.1      -0.1      781      0.6
Wisconsin..................         162.1       2,768.2       0.6      801      3.0
                                                                                   
Wyoming....................          25.5         290.4       0.4      845      0.5
                                                                                   
Puerto Rico................          48.9         926.1      -1.1      503      1.0
Virgin Islands.............           3.4          38.9      -3.0      706    -13.8
 
(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 07, 2014