Economic News Release

County Employment and Wages News Release

For release 10:00 a.m. (EST), Tuesday, January 8, 2013  USDL-13-0013 
 
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 2012 
 
From June 2011 to June 2012, employment increased in 287 of the 328 
largest U.S. counties, the U.S. Bureau of Labor Statistics reported 
today. Yakima, Wash., posted the largest increase, with a gain of 8.2 
percent over the year, compared with national job growth of 1.8 
percent. Within Yakima, the largest employment increase occurred in 
natural resources and mining, which gained 8,646 jobs over the year 
(34.6 percent). Madison, Ill., St. Clair, Ill., and Clay, Mo., had 
the largest over-the-year decreases in employment among the largest 
counties in the U.S. with losses of 2.0 percent each. County 
employment and wage data are compiled under the Quarterly Census of 
Employment and Wages (QCEW) program, which produces detailed 
information on local employment and wages within 7 months after the 
end of each quarter.  
 
The U.S. average weekly wage increased over the year by 1.3 percent 
to $903 in the second quarter of 2012. Washington, Ore., had the 
largest over-the-year increase in average weekly wages with a gain of 
8.5 percent. Within Washington County, a total wage gain of $159.4 
million (16.0 percent) in the manufacturing industry had the largest 
contribution to the increase in average weekly wages. Within this 
industry, large payouts, which included bonuses, significantly 
boosted the county’s average weekly wages. Williamson, Texas, 
experienced the largest decrease in average weekly wages with a loss 
of 17.0 percent over the year.  

Table A.  Large counties ranked by June 2012 employment, June 2011-12 employment 
increase, and June 2011-12 percent increase in employment  

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2012 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |            June 2011-12          |            June 2011-12
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           132,896.0| United States             2,366.8| United States                 1.8
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       3,961.9| Harris, Texas                78.3| Yakima, Wash.                 8.2
 Cook, Ill.                2,428.3| Los Angeles, Calif.          64.1| Montgomery, Texas             5.7
 New York, N.Y.            2,392.0| New York, N.Y.               56.2| Elkhart, Ind.                 5.6
 Harris, Texas             2,121.7| Dallas, Texas                46.1| Williamson, Tenn.             5.5
 Maricopa, Ariz.           1,635.4| Maricopa, Ariz.              44.3| Delaware, Ohio                5.4
 Dallas, Texas             1,475.1| King, Wash.                  34.7| Utah, Utah                    5.0
 Orange, Calif.            1,416.5| Orange, Calif.               33.4| Rutherford, Tenn.             4.9
 San Diego, Calif.         1,283.3| Santa Clara, Calif.          32.8| Kern, Calif.                  4.8
 King, Wash.               1,174.4| Cook, Ill.                   31.0| Lafayette, La.                4.8
 Miami-Dade, Fla.            974.6| San Diego, Calif.            26.7| Gregg, Texas                  4.8
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Employment 
 
In June 2012, national employment, as measured by the QCEW program, 
was 132.9 million, up by 1.8 percent or 2.4 million, from June 2011. 
The 328 U.S. counties with 75,000 or more jobs accounted for 70.9 
percent of total U.S. employment and 76.2 percent of total wages. 
These 328 counties had a net job growth of 1.7 million over the year, 
accounting for 73.3 percent of the overall U.S. employment increase. 
 
Yakima, Wash., had the largest percentage increase in employment (8.2 
percent) among the largest U.S. counties. The five counties with the 
largest increases in employment level were Harris, Texas; Los 
Angeles, Calif.; New York, N.Y.; Dallas, Texas; and Maricopa, Ariz. 
These counties had a combined over-the-year gain of 289,000, or 12.2 
percent of the overall employment increase for the U.S. (See table 
A.) 
 
Employment declined in 38 of the large counties from June 2011 to 
June 2012. Three counties, Madison, Ill., St. Clair, Ill., and Clay, 
Mo., had the largest over-the-year percentage decreases in employment 
(-2.0 percent each). Within Madison, construction was the largest 
contributor to the decrease in employment with a loss of 998 jobs 
(-17.9 percent). The largest employment decrease in St. Clair 
occurred within local government in the education and health services 
industry, which lost 463 jobs (-6.1 percent), followed by 
construction where 452 jobs were lost (-10.9 percent) within the 
private sector. Within Clay, manufacturing had the largest employment 
decline, with a loss of 1,584 jobs (-15.2 percent). Benton, Wash., 
had the second largest percentage decrease in employment, followed by 
New London, Conn. (See table 1.) 

Table B.  Large counties ranked by second quarter 2012 average weekly wages, second quarter 2011-12
increase in average weekly wages, and second quarter 2011-12 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 2012       |    wage, second quarter 2011-12  |        weekly wage, second
                                  |                                  |          quarter 2011-12
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $903| United States                 $12| United States                 1.3
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $1,754| San Mateo, Calif.            $100| Washington, Ore.              8.5
 New York, N.Y.              1,646| Washington, Ore.               88| Washington, Pa.               7.8
 Washington, D.C.            1,544| Washington, Pa.                64| McLean, Ill.                  7.2
 San Mateo, Calif.           1,515| McLean, Ill.                   62| San Mateo, Calif.             7.1
 Arlington, Va.              1,493| Jefferson, Texas               55| Weld, Colo.                   6.4
 San Francisco, Calif.       1,487| Davidson, Tenn.                52| Jefferson, Texas              6.3
 Fairfield, Conn.            1,425| Franklin, Ohio                 50| Davidson, Tenn.               5.8
 Fairfax, Va.                1,422| San Francisco, Calif.          48| Franklin, Ohio                5.6
 Suffolk, Mass.              1,381| Weld, Colo.                    47| Lucas, Ohio                   5.0
 Somerset, N.J.              1,345| Harris, Texas                  46| Lake, Ind.                    4.8

--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages 
 
Average weekly wages for the nation increased by 1.3 percent during 
the year ending in the second quarter of 2012. Among the 328 largest 
counties, 233 had over-the-year increases in average weekly wages. 
Washington, Ore., had the largest wage gain among the largest U.S. 
counties (8.5 percent). 
 
Of the 328 largest counties, 86 experienced over-the-year declines in 
average weekly wages. Williamson, Texas, had the largest average 
weekly wage decrease with a loss of 17.0 percent. Within Williamson, 
total wages in trade, transportation, and utilities decreased by 
$212.4 million (-30.5 percent) over the year. This decline reflects a 
return to pay levels seen previously following a big payout in the 
second quarter of 2011. Williamson also received large payouts in 
this industry in the first quarter of 2012. Kitsap, Wash., had the 
second largest decline in average weekly wages, followed by 
Arlington, Va., Durham, N.C., and Benton, Wash. (See table 1.) 
 
Ten Largest U.S. Counties 
 
All of the 10 largest counties experienced over-the-year percentage 
increases in employment in June 2012. Harris, Texas, experienced the 
largest gain (3.8 percent). Within Harris, professional and business 
services had the largest over-the-year level increase among all 
private industry groups with a gain of 20,285 jobs (6.0 percent). 
Cook, Ill., had the smallest percentage increase in employment (1.3 
percent) among the 10 largest counties. (See table 2.) 
 
Nine of the 10 largest U.S. counties had an over-the-year increase in 
average weekly wages. Harris, Texas, experienced the largest increase 
in average weekly wages (4.1 percent), largely due to substantial 
total wage gains over the year in trade, transportation, and 
utilities ($960.6 million or 17.3 percent). Miami-Dade, Fla., had the 
only average weekly wage decline (-0.5 percent) among the 10 largest 
counties.                     

For More Information 
 
The tables included in this release contain data for the nation and 
for the 328 U.S. counties with annual average employment levels of 
75,000 or more in 2011. June 2012 employment and 2012 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 132.9 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 2012 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 2012 is 
scheduled to be released on Thursday, March 28, 2013.





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 2012 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 329 counties presented 
in this release were derived using 2011 preliminary annual averages of employment. 
For 2012 data, seven counties have been added to the publication tables: Okaloosa, 
Fla.; Tippecanoe, Ind.; Johnson, Iowa; St. Tammany, La.; Saratoga, N.Y.; Delaware, 
Ohio; and Gregg, Texas. These counties will be included in all 2012 quarterly re-
leases. One county, Jackson, Ore., which was published in the 2011 releases, will 
be excluded from this and future 2012 releases because its 2011 annual average 
employment level was less than 75,000. The counties in table 2 are selected and 
sorted each year based on the annual average employment from the preceding year. 

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

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

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

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

 ---------------------------------------------------------------------------------                                     
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  486,000 establish-
            |  submitted by 9.2   |  ministrative records|  ments
            |  million establish- |  submitted by 6.8    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2012    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -7 months after the|  -8 months after the |  -Usually first Friday
            |   end of each quar- |   end of each quarter|   of following month
            |   ter               |                      |
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation estimates to 
            |                     |  losses              |  population counts (ben-
            |                     |                      |  chmarking)
 -----------|---------------------|----------------------|------------------------
 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 2011. 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 2011, UI and UCFE programs covered workers in 129.4 million jobs. The estimated 
124.8 million workers in these jobs (after adjustment for multiple jobholders) 
represented 95.7 percent of civilian wage and salary employment. Covered workers 
received $6.217 trillion in pay, representing 93.3 percent of the wage and salary 
component of personal income and 41.2 percent of the gross domestic product. 

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

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

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

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

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

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

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

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

The over-the-year changes of employment and wages presented in this release have 
been adjusted to account for most of the administrative corrections made to the un-
derlying establishment reports. This is done by modifying the prior-year levels 
used to calculate the over-the-year changes. Percent changes are calculated using 
an adjusted version of the final 2011 quarterly data as the base data. The adjusted 
prior-year levels used to calculate the over-the-year percent change in employment 
and wages are not published. These adjusted prior-year levels do not match the un-
adjusted data maintained on the BLS Web site. Over-the-year change calculations 
based on data from the Web site, or from data published in prior BLS news releases, 
may differ substantially from the over-the-year changes presented in this news re-
lease. 

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

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

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

Employment and Wages Annual Averages Online features comprehensive information by 
detailed industry on establishments, employment, and wages for the nation and all 
states. The 2011 edition of this publication, which was published in October 2012, 
contains selected data produced by Business Employment Dynamics (BED) on job gains 
and losses, as well as selected data from the first quarter 2012 version of this 
news release. Tables and additional content from Employment and Wages Annual Aver-
ages 2011 are now available online at http://www.bls.gov/cew/cewbultn11.htm. The 
2012 edition of Employment and Wages Annual Averages Online will be available later 
in 2013.

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 329 largest counties,
second quarter 2012(2)
                                                                                                       
                                                                                                       
                                                     Employment               Average weekly wage(4)   
                                                                                                       
                          Establishments,                                                              
        County(3)          second quarter               Percent   Ranking            Percent   Ranking 
                                2012          June      change,      by     Second   change,      by   
                            (thousands)       2012       June     percent  quarter   second    percent 
                                          (thousands) 2011-12(5)   change    2012    quarter    change 
                                                                                   2011-12(5)          
                                                                                                       
                                                                                                       
United States(6).........       9,224.5     132,896.0       1.8         -     $903       1.3         - 
                                                                                                       
Jefferson, AL............          17.6         338.2       1.5       168      913       3.4        32 
Madison, AL..............           8.9         178.5       0.1       280    1,010       0.9       182 
Mobile, AL...............           9.7         164.2      -1.0       317      791       1.7       120 
Montgomery, AL...........           6.3         128.3       1.3       184      783       0.0       234 
Tuscaloosa, AL...........           4.2          84.7       2.4        86      792       1.8       111 
Anchorage Borough, AK....           8.3         155.5       2.1       107      998       0.9       182 
Maricopa, AZ.............          95.5       1,635.4       2.8        64      905       2.6        74 
Pima, AZ.................          19.1         343.5       1.9       130      795       0.4       211 
Benton, AR...............           5.5          97.4       2.1       107      844       3.2        37 
Pulaski, AR..............          14.4         243.6       0.9       222      825       1.6       128 
                                                                                                       
Washington, AR...........           5.5          92.7       2.2       100      728      -1.0       289 
Alameda, CA..............          58.4         660.2       2.7        72    1,181       0.2       221 
Contra Costa, CA.........          31.0         326.3       2.2       100    1,091      -0.5       269 
Fresno, CA...............          32.3         351.8       3.2        44      702      -0.3       254 
Kern, CA.................          18.6         299.7       4.8         8      813       2.9        53 
Los Angeles, CA..........         452.9       3,961.9       1.6       158    1,006       1.3       142 
Marin, CA................          12.0         107.0       3.6        27    1,122       1.5       133 
Monterey, CA.............          13.3         187.0       1.5       168      770       2.3        82 
Orange, CA...............         106.6       1,416.5       2.4        86    1,014       1.3       142 
Placer, CA...............          11.2         131.4       3.0        57      898       2.7        66 
                                                                                                       
Riverside, CA............          52.8         575.1       2.3        98      749       1.1       163 
Sacramento, CA...........          55.6         592.7       1.7       151    1,018       1.4       140 
San Bernardino, CA.......          53.7         609.8       1.4       176      791       2.3        82 
San Diego, CA............         102.8       1,283.3       2.1       107      989       0.9       182 
San Francisco, CA........          58.1         585.8       4.3        15    1,487       3.3        33 
San Joaquin, CA..........          18.2         216.3       2.0       122      758      -0.5       269 
San Luis Obispo, CA......           9.9         106.5       3.4        34      750      -1.4       302 
San Mateo, CA............          25.3         342.1       4.3        15    1,515       7.1         4 
Santa Barbara, CA........          14.9         189.4       2.0       122      863       3.1        43 
Santa Clara, CA..........          65.6         903.1       3.8        22    1,754       1.2       153 
                                                                                                       
Santa Cruz, CA...........           9.4          99.3       1.7       151      834       4.0        20 
Solano, CA...............          10.5         122.1       2.0       122      909       0.2       221 
Sonoma, CA...............          19.6         176.5       1.5       168      842      -1.2       294 
Stanislaus, CA...........          15.5         168.2       2.8        64      761       1.3       142 
Tulare, CA...............           9.6         150.9       0.3       266      634       2.3        82 
Ventura, CA..............          24.7         308.1       1.1       204      926      -0.3       254 
Yolo, CA.................           6.3          92.2       2.2       100      934       4.1        17 
Adams, CO................           8.9         161.9       2.4        86      834       2.6        74 
Arapahoe, CO.............          18.9         288.9       3.0        57    1,041       1.8       111 
Boulder, CO..............          13.1         162.2       2.7        72    1,048       2.0       101 
                                                                                                       
Denver, CO...............          26.0         435.9       3.6        27    1,088       1.0       170 
Douglas, CO..............           9.7          97.3       4.2        17      980       0.1       228 
El Paso, CO..............          16.8         240.1       0.7       235      843       2.2        87 
Jefferson, CO............          17.8         214.7       1.8       140      907       0.9       182 
Larimer, CO..............          10.1         135.9       3.3        41      782       3.7        25 
Weld, CO.................           5.8          85.2       3.7        24      786       6.4         5 
Fairfield, CT............          32.8         413.5       1.8       140    1,425      -2.9       318 
Hartford, CT.............          25.7         496.6       1.3       184    1,097      -0.1       243 
New Haven, CT............          22.4         358.0       0.9       222      952       0.7       196 
New London, CT...........           6.9         125.5      -1.3       324      926       2.1        96 
                                                                                                       
New Castle, DE...........          17.0         265.6       0.1       280    1,071       1.9       108 
Washington, DC...........          35.5         717.9       0.9       222    1,544       0.3       215 
Alachua, FL..............           6.5         115.8       0.7       235      786       1.0       170 
Brevard, FL..............          14.4         188.2      -0.3       298      829      -3.2       321 
Broward, FL..............          63.2         698.7       2.0       122      830      -0.6       276 
Collier, FL..............          11.8         110.6       4.2        17      781      -1.9       311 
Duval, FL................          27.1         438.1       1.3       184      862       1.5       133 
Escambia, FL.............           7.9         117.3      -0.8       313      736       1.0       170 
Hillsborough, FL.........          37.9         576.6       2.4        86      868       1.0       170 
Lake, FL.................           7.2          77.6       2.1       107      614      -0.5       269 
                                                                                                       
Lee, FL..................          18.6         196.2       2.0       122      730      -0.1       243 
Leon, FL.................           8.2         134.8      -0.8       313      768       0.0       234 
Manatee, FL..............           9.3         100.7       2.5        83      712      -0.8       285 
Marion, FL...............           7.9          89.7       1.2       196      654      -0.3       254 
Miami-Dade, FL...........          88.9         974.6       2.3        98      876      -0.5       269 
Okaloosa, FL.............           6.1          77.0       1.2       196      750      -0.7       282 
Orange, FL...............          36.1         672.8       3.2        44      790      -0.4       262 
Palm Beach, FL...........          49.6         499.9       2.8        64      873      -0.2       252 
Pasco, FL................          10.0          92.5       1.5       168      664      -0.3       254 
Pinellas, FL.............          30.6         382.6       1.3       184      805       0.5       205 
                                                                                                       
Polk, FL.................          12.4         184.1       0.7       235      698       2.0       101 
Sarasota, FL.............          14.4         134.5       3.0        57      751       0.3       215 
Seminole, FL.............          13.8         156.6       1.9       130      757      -0.3       254 
Volusia, FL..............          13.3         147.1       1.3       184      668       1.7       120 
Bibb, GA.................           4.6          80.4       1.1       204      708       2.9        53 
Chatham, GA..............           7.7         134.0       2.4        86      755       0.0       234 
Clayton, GA..............           4.3         111.9      -0.1       291      869       2.2        87 
Cobb, GA.................          21.4         303.1       1.9       130      959       3.0        51 
De Kalb, GA..............          17.9         276.2      -0.3       298      957       3.2        37 
Fulton, GA...............          41.5         723.8       3.1        51    1,171       2.0       101 
                                                                                                       
Gwinnett, GA.............          24.1         308.2       1.2       196      887       2.4        80 
Muscogee, GA.............           4.6          94.2      -0.1       291      716       0.6       200 
Richmond, GA.............           4.7          97.0      -1.0       317      784       2.9        53 
Honolulu, HI.............          24.6         443.0       2.1       107      844       1.7       120 
Ada, ID..................          13.7         200.8       2.9        62      778       0.4       211 
Champaign, IL............           4.3          87.3       0.1       280      789       4.2        13 
Cook, IL.................         148.8       2,428.3       1.3       184    1,052       1.3       142 
Du Page, IL..............          37.2         576.6       1.8       140    1,054       2.1        96 
Kane, IL.................          13.3         196.8       1.6       158      795      -0.1       243 
Lake, IL.................          22.1         331.3       1.5       168    1,156       2.2        87 
                                                                                                       
McHenry, IL..............           8.7          96.0       0.9       222      744       0.0       234 
McLean, IL...............           3.8          86.9       1.1       204      926       7.2         3 
Madison, IL..............           6.0          94.4      -2.0       326      742       1.1       163 
Peoria, IL...............           4.7         103.9       1.5       168      869       3.1        43 
St. Clair, IL............           5.6          92.5      -2.0       326      735       0.0       234 
Sangamon, IL.............           5.3         130.2      -1.1       321      928       1.2       153 
Will, IL.................          15.2         205.8       1.0       210      794      -0.3       254 
Winnebago, IL............           6.8         126.8       0.4       262      774       3.5        30 
Allen, IN................           8.9         176.5       0.7       235      734      -2.1       312 
                                                                                                       
Elkhart, IN..............           4.8         112.4       5.6         3      747       2.8        61 
Hamilton, IN.............           8.5         114.5       0.7       235      840       2.8        61 
Lake, IN.................          10.4         190.4       1.8       140      846       4.8        10 
Marion, IN...............          24.0         565.7       3.6        27      905       1.3       142 
St. Joseph, IN...........           6.0         116.2       0.4       262      751       2.7        66 
Tippecanoe, IN...........           3.3          78.8       4.6        11      776       0.0       234 
Vanderburgh, IN..........           4.8         104.9      -1.0       317      728      -1.1       292 
Johnson, IA..............           3.6          78.0       1.7       151      826       2.9        53 
Linn, IA.................           6.3         128.9       1.0       210      846       1.1       163 
Polk, IA.................          15.1         275.0       2.7        72      882       1.0       170 
                                                                                                       
Scott, IA................           5.2          89.5       1.8       140      738       3.9        22 
Johnson, KS..............          21.0         313.3       3.4        34      929       2.0       101 
Sedgwick, KS.............          12.3         240.6       1.2       196      818       0.2       221 
Shawnee, KS..............           4.8          94.7       0.6       246      771      -1.0       289 
Wyandotte, KS............           3.2          85.4       3.6        27      839      -1.4       302 
Fayette, KY..............           9.5         178.5       1.7       151      808      -1.6       308 
Jefferson, KY............          22.5         427.9       2.1       107      895       1.8       111 
Caddo, LA................           7.6         120.5      -0.3       298      767       0.5       205 
Calcasieu, LA............           4.9          84.9       1.6       158      764       1.3       142 
East Baton Rouge, LA.....          15.0         254.7       2.7        72      855       3.1        43 
                                                                                                       
Jefferson, LA............          14.0         191.5      -1.0       317      824       0.5       205 
Lafayette, LA............           9.2         139.3       4.8         8      891       4.2        13 
Orleans, LA..............          11.4         175.7       3.1        51      902      -2.7       316 
St. Tammany, LA..........           7.6          79.2       1.2       196      740      -1.2       294 
Cumberland, ME...........          12.7         174.3       1.8       140      807       0.9       182 
Anne Arundel, MD.........          14.6         242.4       3.6        27      958      -0.8       285 
Baltimore, MD............          21.2         366.1       1.1       204      917       1.8       111 
Frederick, MD............           6.2          94.2       0.5       253      889       2.7        66 
Harford, MD..............           5.6          88.2       3.2        44      917       2.8        61 
Howard, MD...............           9.2         162.0       2.7        72    1,106       2.7        66 
                                                                                                       
Montgomery, MD...........          33.1         455.8       1.4       176    1,222       1.2       153 
Prince Georges, MD.......          15.6         302.6       0.0       288      979      -0.4       262 
Baltimore City, MD.......          13.9         329.9       0.1       280    1,020      -1.4       302 
Barnstable, MA...........           8.9         101.1       3.3        41      758       0.4       211 
Bristol, MA..............          16.0         214.1       0.1       280      826      -1.3       299 
Essex, MA................          21.4         312.1       1.8       140      953      -3.0       319 
Hampden, MA..............          15.3         201.0       1.6       158      832       2.2        87 
Middlesex, MA............          48.8         833.8       2.1       107    1,342      -3.2       321 
Norfolk, MA..............          23.3         325.5       2.0       122    1,055       0.9       182 
Plymouth, MA.............          13.9         181.4       3.1        51      867      -0.7       282 
                                                                                                       
Suffolk, MA..............          23.2         598.1       2.0       122    1,381      -0.7       282 
Worcester, MA............          21.3         320.6       0.9       222      910       0.0       234 
Genesee, MI..............           7.2         130.1       0.3       266      741       0.7       196 
Ingham, MI...............           6.3         153.7      -0.4       305      839       1.7       120 
Kalamazoo, MI............           5.3         110.3       0.9       222      814       1.9       108 
Kent, MI.................          14.0         337.9       4.4        14      801       1.6       128 
Macomb, MI...............          17.1         294.9       1.5       168      916       3.3        33 
Oakland, MI..............          37.9         667.5       3.4        34    1,003       1.3       142 
Ottawa, MI...............           5.5         110.2       2.4        86      744       2.8        61 
Saginaw, MI..............           4.2          83.4       0.1       280      727       1.0       170 
                                                                                                       
Washtenaw, MI............           8.1         192.6       3.4        34      964       3.1        43 
Wayne, MI................          31.4         690.2       1.6       158      975       1.5       133 
Anoka, MN................           7.2         112.1       1.9       130      868       0.8       192 
Dakota, MN...............           9.9         176.2       1.3       184      880      -0.9       288 
Hennepin, MN.............          41.4         850.1       2.1       107    1,120       0.3       215 
Olmsted, MN..............           3.5          92.1       2.8        64    1,031       1.7       120 
Ramsey, MN...............          14.1         320.5       0.8       230    1,003       0.9       182 
St. Louis, MN............           5.6          95.0      -0.7       311      726      -3.2       321 
Stearns, MN..............           4.4          81.5       1.8       140      722       3.3        33 
Harrison, MS.............           4.4          84.1       0.3       266      670       0.3       215 
                                                                                                       
Hinds, MS................           5.9         120.7      -1.1       321      793       1.9       108 
Boone, MO................           4.5          86.6       2.9        62      714       2.6        74 
Clay, MO.................           5.1          87.4      -2.0       326      816       1.5       133 
Greene, MO...............           8.0         154.0       3.6        27      695       2.2        87 
Jackson, MO..............          18.6         349.0       1.0       210      920       3.1        43 
St. Charles, MO..........           8.3         127.1       1.3       184      738       3.8        24 
St. Louis, MO............          32.1         567.5      -0.3       298      956       3.7        25 
St. Louis City, MO.......           9.3         217.3       1.0       210      953      -3.1       320 
Yellowstone, MT..........           6.0          78.9       2.1       107      766       4.4        12 
Douglas, NE..............          17.3         318.6       1.7       151      810      -0.4       262 
                                                                                                       
Lancaster, NE............           9.3         157.8       2.1       107      732       1.5       133 
Clark, NV................          48.5         822.0       1.9       130      807       0.1       228 
Washoe, NV...............          13.5         185.4       0.7       235      809       0.1       228 
Hillsborough, NH.........          12.0         190.5       1.4       176      977      -1.2       294 
Rockingham, NH...........          10.6         139.1       1.9       130      848      -0.5       269 
Atlantic, NJ.............           6.7         145.6       3.4        34      765      -2.3       313 
Bergen, NJ...............          33.1         433.6       1.4       176    1,127       3.6        28 
Burlington, NJ...........          10.9         196.6       1.0       210      963       1.8       111 
Camden, NJ...............          12.1         195.1       0.4       262      899       0.7       196 
Essex, NJ................          20.4         339.5       0.7       235    1,096      -2.6       315 
                                                                                                       
Gloucester, NJ...........           6.1          99.2       0.5       253      789      -1.4       302 
Hudson, NJ...............          13.8         233.8       1.4       176    1,233       0.0       234 
Mercer, NJ...............          10.9         232.8       1.1       204    1,155      -2.8       317 
Middlesex, NJ............          21.7         387.6       2.4        86    1,068      -2.4       314 
Monmouth, NJ.............          19.9         252.6       0.2       278      905      -1.8       310 
Morris, NJ...............          17.2         275.8       0.7       235    1,266       1.3       142 
Ocean, NJ................          12.2         159.2       1.9       130      739       0.8       192 
Passaic, NJ..............          12.2         173.0       0.6       246      928       0.2       221 
Somerset, NJ.............          10.0         175.6       1.0       210    1,345       2.6        74 
Union, NJ................          14.3         221.7       0.7       235    1,130       0.1       228 
                                                                                                       
Bernalillo, NM...........          17.6         309.8      -0.4       305      799       2.2        87 
Albany, NY...............          10.0         221.9       1.2       196      929      -0.3       254 
Bronx, NY................          17.1         237.2       0.5       253      868      -0.1       243 
Broome, NY...............           4.5          91.7      -0.1       291      733       1.4       140 
Dutchess, NY.............           8.2         111.6      -0.3       298      960       1.1       163 
Erie, NY.................          23.8         460.0       0.6       246      793       1.8       111 
Kings, NY................          52.9         522.7       2.8        64      736      -0.4       262 
Monroe, NY...............          18.2         380.1       0.6       246      862       0.9       182 
Nassau, NY...............          52.6         603.4       1.4       176    1,042       0.6       200 
New York, NY.............         122.7       2,392.0       2.4        86    1,646       0.2       221 
                                                                                                       
Oneida, NY...............           5.3         107.2      -0.6       308      741       1.0       170 
Onondaga, NY.............          12.9         243.5      -0.4       305      849       3.2        37 
Orange, NY...............           9.9         133.5       0.2       278      807      -0.1       243 
Queens, NY...............          47.1         521.6       2.2       100      846      -0.1       243 
Richmond, NY.............           9.0          92.5      -0.1       291      770      -0.5       269 
Rockland, NY.............          10.0         117.0       0.5       253      989      -0.6       276 
Saratoga, NY.............           5.6          80.7       3.1        51      815       1.6       128 
Suffolk, NY..............          50.8         641.9       1.0       210      974      -0.6       276 
Westchester, NY..........          36.1         413.8       0.1       280    1,195      -0.8       285 
Buncombe, NC.............           8.1         112.9       1.9       130      681       1.5       133 
                                                                                                       
Catawba, NC..............           4.4          79.2       0.8       230      686       1.3       142 
Cumberland, NC...........           6.3         119.1      -0.7       311      739      -1.3       299 
Durham, NC...............           7.4         185.7       2.2       100    1,180      -3.6       325 
Forsyth, NC..............           9.0         173.6       1.6       158      811      -0.5       269 
Guilford, NC.............          14.2         259.5      -0.2       296      783       0.8       192 
Mecklenburg, NC..........          33.3         562.0       2.7        72    1,000       0.5       205 
New Hanover, NC..........           7.4          96.8       0.3       266      738       1.2       153 
Wake, NC.................          29.8         459.5       3.1        51      890       0.9       182 
Cass, ND.................           6.1         107.9       4.6        11      789       2.7        66 
Butler, OH...............           7.4         139.6       1.3       184      789       0.8       192 
                                                                                                       
Cuyahoga, OH.............          35.6         706.1       1.9       130      916       2.2        87 
Delaware, OH.............           4.4          81.4       5.4         5      881       0.9       182 
Franklin, OH.............          29.6         672.1       2.5        83      935       5.6         8 
Hamilton, OH.............          23.2         494.7       1.6       158      970       1.0       170 
Lake, OH.................           6.4          95.9       0.9       222      760       0.5       205 
Lorain, OH...............           6.0          97.1       3.0        57      751       2.9        53 
Lucas, OH................          10.1         203.5       2.8        64      804       5.0         9 
Mahoning, OH.............           5.9          97.9       2.2       100      651       0.6       200 
Montgomery, OH...........          12.1         246.0       1.0       210      788       0.4       211 
Stark, OH................           8.8         155.0       1.9       130      688       0.0       234 
                                                                                                       
Summit, OH...............          14.3         258.5       1.2       196      803       1.6       128 
Oklahoma, OK.............          24.9         432.3       2.8        64      832       0.1       228 
Tulsa, OK................          20.5         335.7       1.6       158      837       2.7        66 
Clackamas, OR............          12.7         141.3       2.4        86      847       1.3       142 
Lane, OR.................          10.8         138.8       0.4       262      712       1.1       163 
Marion, OR...............           9.4         134.3       1.1       204      730       0.7       196 
Multnomah, OR............          29.8         442.3       2.1       107      920      -0.3       254 
Washington, OR...........          16.5         252.2       2.6        81    1,122       8.5         1 
Allegheny, PA............          35.6         693.5       1.0       210      966       2.0       101 
Berks, PA................           9.0         164.4       0.1       280      812       0.5       205 
                                                                                                       
Bucks, PA................          19.7         253.2       0.3       266      878       2.1        96 
Butler, PA...............           4.9          84.6       0.5       253      829      -1.2       294 
Chester, PA..............          15.1         239.1       0.0       288    1,158      -0.1       243 
Cumberland, PA...........           6.1         125.5       1.6       158      853       2.3        82 
Dauphin, PA..............           7.5         178.3      -0.6       308      890       1.0       170 
Delaware, PA.............          13.9         212.9       1.4       176      962       1.2       153 
Erie, PA.................           7.7         126.7       0.3       266      722       1.7       120 
Lackawanna, PA...........           5.9          96.7      -1.2       323      685      -0.4       262 
Lancaster, PA............          12.7         222.9       1.0       210      749       1.2       153 
Lehigh, PA...............           8.7         178.3       0.5       253      885       2.7        66 
                                                                                                       
Luzerne, PA..............           7.8         139.8      -0.3       298      711       2.0       101 
Montgomery, PA...........          27.5         471.9       1.5       168    1,111       2.4        80 
Northampton, PA..........           6.6         103.6       0.9       222      787       1.0       170 
Philadelphia, PA.........          35.4         629.4      -0.1       291    1,070       4.1        17 
Washington, PA...........           5.6          87.3       2.4        86      887       7.8         2 
Westmoreland, PA.........           9.5         135.7       0.7       235      726       0.3       215 
York, PA.................           9.1         171.3      -0.3       298      781      -1.1       292 
Providence, RI...........          17.3         271.6       0.6       246      888      -1.0       289 
Charleston, SC...........          11.9         219.9       3.4        34      773      -1.2       294 
Greenville, SC...........          12.1         235.8       2.5        83      789       0.3       215 
                                                                                                       
Horry, SC................           7.6         118.3       0.3       266      532       1.3       142 
Lexington, SC............           5.6          96.9       2.7        72      687       3.9        22 
Richland, SC.............           8.9         204.1       0.6       246      802       3.1        43 
Spartanburg, SC..........           5.8         114.8       3.2        44      801       2.2        87 
Minnehaha, SD............           6.6         118.3       2.7        72      763       3.2        37 
Davidson, TN.............          18.2         429.2       2.4        86      950       5.8         7 
Hamilton, TN.............           8.4         186.0       2.2       100      798       1.8       111 
Knox, TN.................          10.9         218.8       0.7       235      778       1.7       120 
Rutherford, TN...........           4.4         101.9       4.9         7      825       4.0        20 
Shelby, TN...............          19.0         472.6       2.1       107      949       3.2        37 
                                                                                                       
Williamson, TN...........           6.2          98.1       5.5         4      959      -1.4       302 
Bell, TX.................           4.9         108.7       1.3       184      738       1.0       170 
Bexar, TX................          35.1         751.1       2.0       122      799       0.1       228 
Brazoria, TX.............           5.0          93.3       4.1        19      899       4.2        13 
Brazos, TX...............           4.0          86.3       2.6        81      689       1.5       133 
Cameron, TX..............           6.4         129.9       1.4       176      571       0.2       221 
Collin, TX...............          19.2         310.6       4.1        19    1,048      -0.4       262 
Dallas, TX...............          68.9       1,475.1       3.2        44    1,074       2.0       101 
Denton, TX...............          11.5         186.7       3.7        24      794       1.0       170 
El Paso, TX..............          14.0         277.3       1.3       184      653       0.6       200 
                                                                                                       
Fort Bend, TX............           9.8         144.1       4.6        11      908       2.5        79 
Galveston, TX............           5.4          98.1       1.3       184      815       0.2       221 
Gregg, TX................           4.2          78.7       4.8         8      837       1.8       111 
Harris, TX...............         103.2       2,121.7       3.8        22    1,165       4.1        17 
Hidalgo, TX..............          11.4         228.0       0.8       230      583       2.3        82 
Jefferson, TX............           5.8         123.2       0.5       253      929       6.3         6 
Lubbock, TX..............           7.1         125.6       1.0       210      689       0.6       200 
McLennan, TX.............           4.9         101.4       0.3       266      744       3.3        33 
Montgomery, TX...........           9.1         142.2       5.7         2      867       3.6        28 
Nueces, TX...............           7.9         156.8       3.3        41      804       4.7        11 
Smith, TX................           5.7          93.9       0.8       230      767       1.2       153 
Tarrant, TX..............          38.6         784.7       2.4        86      895      -0.2       252 
Travis, TX...............          32.1         605.7       3.4        34    1,009       3.7        25 
Webb, TX.................           4.9          91.1       2.7        72      635       3.1        43 
Williamson, TX...........           8.0         135.2       3.2        44      860     -17.0       328 
Davis, UT................           7.3         110.1       3.2        44      723      -0.6       276 
Salt Lake, UT............          37.6         591.7       4.0        21      855       2.6        74 
Utah, UT.................          12.9         178.8       5.0         6      706      -1.3       299 
Weber, UT................           5.4          90.8       1.8       140      692       3.0        51 
                                                                                                       
Chittenden, VT...........           6.1          97.9       1.8       140      918       2.9        53 
Arlington, VA............           8.5         167.3      -0.8       313    1,493      -3.8       326 
Chesterfield, VA.........           7.8         118.3       2.1       107      813       1.6       128 
Fairfax, VA..............          35.1         598.1       2.1       107    1,422      -0.4       262 
Henrico, VA..............          10.2         179.4       2.8        64      896       1.2       153 
Loudoun, VA..............          10.0         144.2       3.7        24    1,076       2.9        53 
Prince William, VA.......           8.0         115.2       3.5        33      812       1.1       163 
Alexandria City, VA......           6.2          95.9       1.6       158    1,293       2.8        61 
Chesapeake City, VA......           5.7          96.2       0.0       288      741       4.2        13 
Newport News City, VA....           3.8          94.7      -0.8       313      861       1.8       111 
                                                                                                       
Norfolk City, VA.........           5.6         138.6       0.3       266      877      -0.1       243 
Richmond City, VA........           7.1         148.5       0.3       266      966      -1.6       308 
Virginia Beach City, VA..          11.4         169.8       1.0       210      706      -1.5       307 
Benton, WA...............           5.7          83.0      -1.7       325      922      -3.4       324 
Clark, WA................          13.5         131.5       1.8       140      826       2.1        96 
King, WA.................          82.2       1,174.4       3.0        57    1,167       2.9        53 
Kitsap, WA...............           6.7          81.2      -0.6       308      823      -4.2       327 
Pierce, WA...............          21.7         265.3       0.8       230      837       1.7       120 
Snohomish, WA............          19.2         258.2       3.1        51      974       2.2        87 
Spokane, WA..............          15.9         200.6       0.3       266      764       1.2       153 
                                                                                                       
Thurston, WA.............           7.5          97.6      -0.2       296      818      -0.6       276 
Whatcom, WA..............           6.9          81.4       1.7       151      777       3.5        30 
Yakima, WA...............           8.8         110.5       8.2         1      617       1.1       163 
Kanawha, WV..............           6.0         105.5       0.5       253      814       2.1        96 
Brown, WI................           6.5         149.3       0.5       253      779       3.2        37 
Dane, WI.................          14.1         308.6       2.1       107      871      -0.1       243 
Milwaukee, WI............          23.1         473.3       1.2       196      877      -0.6       276 
Outagamie, WI............           5.1         104.4       1.7       151      752       1.2       153 
Waukesha, WI.............          12.6         231.7       0.6       246      895       3.1        43 
Winnebago, WI............           3.6          90.1       0.3       266      839       2.7        66 
San Juan, PR.............          11.4         264.2       2.8       (7)      596      -0.3       (7) 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 328 U.S. counties comprise 70.9 percent of the total covered workers
in the U.S.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(7) This county was not included in the U.S. rankings.





Table 2. Covered(1) establishments, employment, and wages in the 10 largest counties,
second quarter 2012(2)
                                                                                                       
                                                                                                       
                                                                    Employment         Average weekly  
                                                                                           wage(3)     
                                              Establishments,                                          
                                               second quarter                                          
         County by NAICS supersector                2012                    Percent            Percent 
                                                (thousands)       June      change,   Second   change, 
                                                                  2012       June    quarter   second  
                                                              (thousands) 2011-12(4)   2012    quarter 
                                                                                             2011-12(4)
                                                                                                       
                                                                                                       
United States(5).............................       9,224.5     132,896.0       1.8     $903       1.3 
  Private industry...........................       8,928.1     111,708.5       2.4      891       1.9 
    Natural resources and mining.............         130.2       2,120.8       7.1      996       3.8 
    Construction.............................         748.7       5,726.3       1.7      966       3.3 
    Manufacturing............................         335.3      11,996.6       2.0    1,111       1.6 
    Trade, transportation, and utilities.....       1,883.2      25,240.5       1.7      768       2.1 
    Information..............................         143.8       2,686.3       0.0    1,437       2.8 
    Financial activities.....................         809.7       7,540.1       1.3    1,320       2.6 
    Professional and business services.......       1,589.9      17,985.5       3.7    1,153       1.7 
    Education and health services............         926.8      19,330.2       2.0      847       1.4 
    Leisure and hospitality..................         769.1      14,307.6       3.5      374       2.5 
    Other services...........................       1,375.6       4,552.6       1.7      576       2.1 
  Government.................................         296.4      21,187.6      -1.2      964      -1.0 
                                                                                                       
Los Angeles, CA..............................         452.9       3,961.9       1.6    1,006       1.3 
  Private industry...........................         447.3       3,414.8       2.3      977       1.7 
    Natural resources and mining.............           0.4           9.7       0.6    1,287       5.8 
    Construction.............................          12.1         109.3       3.4    1,046       4.2 
    Manufacturing............................          12.6         367.7      -0.2    1,067      -1.5 
    Trade, transportation, and utilities.....          50.8         750.7       1.6      826       2.7 
    Information..............................           8.3         187.1      -1.8    1,749       3.3 
    Financial activities.....................          21.9         210.6       1.1    1,459       2.7 
    Professional and business services.......          41.9         569.4       4.2    1,222       1.2 
    Education and health services............          29.6         527.2       2.2      958       2.0 
    Leisure and hospitality..................          27.3         420.2       5.4      543      -0.5 
    Other services...........................         217.6         242.8      -1.3      457       4.6 
  Government.................................           5.6         547.0      -2.1    1,187       0.3 
                                                                                                       
Cook, IL.....................................         148.8       2,428.3       1.3    1,052       1.3 
  Private industry...........................         147.4       2,128.9       1.7    1,034       1.2 
    Natural resources and mining.............           0.1           0.8      -5.4      955       6.9 
    Construction.............................          12.4          64.9      -2.8    1,241       1.5 
    Manufacturing............................           6.6         194.9       0.3    1,100       1.1 
    Trade, transportation, and utilities.....          28.9         441.8       0.6      826       0.6 
    Information..............................           2.7          54.3       0.0    1,535       2.1 
    Financial activities.....................          15.6         185.2      -0.5    1,812       1.0 
    Professional and business services.......          31.4         425.7       3.6    1,328       1.8 
    Education and health services............          15.6         410.4       2.2      881       2.2 
    Leisure and hospitality..................          13.2         249.5       3.2      469       1.3 
    Other services...........................          16.4          98.1       1.1      777       1.8 
  Government.................................           1.4         299.4      -1.2    1,174       1.9 
                                                                                                       
New York, NY.................................         122.7       2,392.0       2.4    1,646       0.2 
  Private industry...........................         122.4       1,956.8       3.0    1,769       0.2 
    Natural resources and mining.............           0.0           0.1       3.5    1,652      -7.7 
    Construction.............................           2.1          31.3       2.6    1,621       0.0 
    Manufacturing............................           2.4          26.3      -0.6    1,202      -2.3 
    Trade, transportation, and utilities.....          20.7         249.8       3.1    1,233       0.2 
    Information..............................           4.3         143.8       4.1    2,046       2.3 
    Financial activities.....................          18.8         355.2      -0.5    3,249       1.5 
    Professional and business services.......          25.3         488.0       3.1    2,025       0.5 
    Education and health services............           9.2         303.5       1.2    1,120       0.1 
    Leisure and hospitality..................          12.9         257.2       7.0      763       0.3 
    Other services...........................          18.9          92.6       3.5    1,022       5.3 
  Government.................................           0.3         435.3       0.0    1,101      -1.2 
                                                                                                       
Harris, TX...................................         103.2       2,121.7       3.8    1,165       4.1 
  Private industry...........................         102.6       1,869.5       4.8    1,191       4.4 
    Natural resources and mining.............           1.7          87.9       9.4    2,933      -4.0 
    Construction.............................           6.5         139.9       5.5    1,143       4.2 
    Manufacturing............................           4.5         189.4       7.1    1,415       2.7 
    Trade, transportation, and utilities.....          23.2         441.0       3.6    1,141      13.4 
    Information..............................           1.3          28.0      -0.6    1,337       4.0 
    Financial activities.....................          10.7         114.2       2.3    1,423       3.0 
    Professional and business services.......          20.6         357.6       6.0    1,374       2.4 
    Education and health services............          11.7         251.5       3.5      898       0.4 
    Leisure and hospitality..................           8.5         195.8       5.2      398       1.5 
    Other services...........................          13.7          62.9       1.3      660       3.0 
  Government.................................           0.6         252.2      -2.7      979       0.5 
                                                                                                       
Maricopa, AZ.................................          95.5       1,635.4       2.8      905       2.6 
  Private industry...........................          94.8       1,456.7       3.0      890       2.7 
    Natural resources and mining.............           0.5           7.8      -5.6      828      10.0 
    Construction.............................           8.0          86.0       4.0      941       5.4 
    Manufacturing............................           3.2         113.7       3.2    1,329      -0.6 
    Trade, transportation, and utilities.....          21.5         338.2       1.7      838       2.4 
    Information..............................           1.6          28.5       2.6    1,123       2.6 
    Financial activities.....................          10.9         141.4       2.8    1,107       3.8 
    Professional and business services.......          22.2         270.6       3.2      953       3.8 
    Education and health services............          10.5         243.0       3.2      927       1.8 
    Leisure and hospitality..................           7.2         175.5       2.8      419       4.5 
    Other services...........................           6.6          47.3      -0.5      606       2.9 
  Government.................................           0.7         178.7       1.5    1,014       2.1 
                                                                                                       
Dallas, TX...................................          68.9       1,475.1       3.2    1,074       2.0 
  Private industry...........................          68.4       1,313.4       3.9    1,082       2.4 
    Natural resources and mining.............           0.6           9.9      12.9    3,563      15.4 
    Construction.............................           4.0          70.2       3.3    1,003       4.3 
    Manufacturing............................           2.8         112.7       0.9    1,294       6.0 
    Trade, transportation, and utilities.....          14.9         294.5       3.6      992       2.0 
    Information..............................           1.5          46.4       1.6    1,615       0.8 
    Financial activities.....................           8.5         143.0       3.2    1,446       3.8 
    Professional and business services.......          15.2         286.8       6.9    1,188       1.1 
    Education and health services............           7.5         172.7       2.8      964      -1.7 
    Leisure and hospitality..................           5.8         135.7       3.9      446       0.7 
    Other services...........................           7.2          41.0       1.7      677       2.0 
  Government.................................           0.5         161.7      -1.9    1,011      -1.0 
                                                                                                       
Orange, CA...................................         106.6       1,416.5       2.4    1,014       1.3 
  Private industry...........................         105.3       1,271.5       2.9    1,000       1.6 
    Natural resources and mining.............           0.2           3.5     -12.8      736      12.5 
    Construction.............................           6.0          70.7       0.7    1,126       4.4 
    Manufacturing............................           4.8         158.6       1.4    1,236       0.3 
    Trade, transportation, and utilities.....          16.1         245.1       0.8      948       1.8 
    Information..............................           1.2          24.0      -1.9    1,390      -1.5 
    Financial activities.....................           9.6         107.6       2.7    1,501       2.6 
    Professional and business services.......          18.7         260.2       5.4    1,140       0.2 
    Education and health services............          10.6         161.5       1.8      939       3.1 
    Leisure and hospitality..................           7.2         183.9       5.2      445       4.5 
    Other services...........................          23.1          50.1       2.4      563       5.4 
  Government.................................           1.4         145.0      -1.6    1,135      -0.8 
                                                                                                       
San Diego, CA................................         102.8       1,283.3       2.1      989       0.9 
  Private industry...........................         101.4       1,063.1       2.7      966       2.1 
    Natural resources and mining.............           0.7          10.9       9.0      634       6.2 
    Construction.............................           5.8          57.6       2.9    1,048       2.5 
    Manufacturing............................           2.9          93.6      -0.8    1,355       1.7 
    Trade, transportation, and utilities.....          13.5         205.4       1.8      802       3.6 
    Information..............................           1.1          24.5       0.3    1,479       0.2 
    Financial activities.....................           8.4          70.0       2.9    1,188       2.9 
    Professional and business services.......          16.1         216.4       3.3    1,379       1.6 
    Education and health services............           8.7         155.7       2.5      939       3.0 
    Leisure and hospitality..................           7.1         163.7       3.7      414       2.7 
    Other services...........................          30.2          59.5       2.7      503      -1.6 
  Government.................................           1.4         220.2      -0.6    1,099      -3.6 
                                                                                                       
King, WA.....................................          82.2       1,174.4       3.0    1,167       2.9 
  Private industry...........................          81.7       1,015.7       3.6    1,171       3.2 
    Natural resources and mining.............           0.3           3.0       7.5    1,372      -7.5 
    Construction.............................           5.3          49.3       6.2    1,143       1.2 
    Manufacturing............................           2.2         103.3       5.6    1,417      -0.3 
    Trade, transportation, and utilities.....          14.3         214.6       3.7    1,019       2.9 
    Information..............................           1.7          81.8       1.6    2,243       9.4 
    Financial activities.....................           6.2          63.4       0.7    1,383       0.9 
    Professional and business services.......          13.7         191.2       5.5    1,434       2.0 
    Education and health services............           7.2         138.5       2.7      968       4.5 
    Leisure and hospitality..................           6.4         117.1       3.0      444       2.8 
    Other services...........................          24.3          53.6       0.4      606       4.7 
  Government.................................           0.5         158.7      -0.3    1,143       1.2 
                                                                                                       
Miami-Dade, FL...............................          88.9         974.6       2.3      876      -0.5 
  Private industry...........................          88.5         851.4       3.1      832      -0.1 
    Natural resources and mining.............           0.5           7.5       2.1      533       1.9 
    Construction.............................           5.0          29.6      -3.1      808      -6.6 
    Manufacturing............................           2.6          35.6      -2.1      795      -1.4 
    Trade, transportation, and utilities.....          25.8         255.4       3.5      780      -0.3 
    Information..............................           1.5          17.1       0.3    1,365      -8.2 
    Financial activities.....................           9.1          67.3       5.4    1,241      -1.7 
    Professional and business services.......          18.6         126.0       2.3    1,047       1.7 
    Education and health services............           9.9         157.6       2.1      856       0.8 
    Leisure and hospitality..................           6.8         118.4       5.9      505       4.8 
    Other services...........................           7.9          35.7       4.3      540       1.5 
  Government.................................           0.4         123.2      -3.1    1,156      -0.3 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.
(2) Data are preliminary. Counties selected are based on 2011 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 2012(2)
                                                                                 
                                                                                 
                                                Employment        Average weekly 
                                                                      wage(3)    
                          Establishments,                                        
                           second quarter                                        
          State                 2012                    Percent           Percent
                            (thousands)       June      change,   Second  change,
                                              2012       June    quarter  second 
                                          (thousands)   2011-12    2012   quarter
                                                                          2011-12
                                                                                 
                                                                                 
United States(4).........       9,224.5     132,896.0       1.8     $903      1.3
                                                                                 
Alabama..................         116.1       1,841.7       0.9      783      2.0
Alaska...................          21.8         342.9       2.1      955      1.5
Arizona..................         147.3       2,393.9       2.6      862      2.1
Arkansas.................          85.4       1,157.4       1.1      717      2.1
California...............       1,434.5      15,045.8       2.4    1,034      1.8
Colorado.................         171.4       2,291.8       2.5      918      2.0
Connecticut..............         111.3       1,650.0       1.2    1,111     -0.4
Delaware.................          27.6         409.3       0.2      948      2.4
District of Columbia.....          35.5         717.9       0.9    1,544      0.3
Florida..................         606.9       7,233.7       2.0      805      0.4
                                                                                 
Georgia..................         269.5       3,854.7       1.4      848      1.9
Hawaii...................          38.4         603.7       2.1      812      1.8
Idaho....................          53.5         626.1       1.5      673      0.9
Illinois.................         391.4       5,698.0       1.1      953      1.6
Indiana..................         160.5       2,832.6       2.3      763      1.9
Iowa.....................          95.2       1,502.7       1.5      743      2.5
Kansas...................          84.6       1,334.4       1.7      763      1.1
Kentucky.................         109.8       1,780.7       1.6      772      1.6
Louisiana................         129.2       1,877.2       1.6      806      1.5
Maine....................          49.4         601.8       1.2      719      1.0
                                                                                 
Maryland.................         166.9       2,550.2       1.5      992      0.7
Massachusetts............         219.0       3,301.5       1.9    1,109     -1.2
Michigan.................         239.4       3,984.0       2.1      859      1.7
Minnesota................         168.7       2,695.1       1.5      907      1.1
Mississippi..............          68.6       1,087.4       0.6      681      2.9
Missouri.................         176.9       2,629.1       0.4      791      2.2
Montana..................          42.4         442.0       2.0      700      2.6
Nebraska.................          66.7         930.9       2.0      719      0.7
Nevada...................          72.6       1,141.7       1.6      815     -0.1
New Hampshire............          48.9         623.8       1.4      891      0.3
                                                                                 
New Jersey...............         262.3       3,884.0       1.4    1,056      0.0
New Mexico...............          55.1         791.9       0.4      783      2.6
New York.................         603.3       8,701.2       1.5    1,096      0.4
North Carolina...........         259.0       3,919.1       1.5      787      0.5
North Dakota.............          29.2         420.3       9.9      854     11.1
Ohio.....................         287.4       5,104.0       1.9      817      2.8
Oklahoma.................         104.4       1,543.4       1.9      768      2.7
Oregon...................         133.1       1,663.9       1.6      837      2.3
Pennsylvania.............         352.3       5,645.9       0.7      893      2.1
Rhode Island.............          35.3         463.1       0.9      859     -0.3
                                                                                 
South Carolina...........         111.5       1,830.7       1.5      736      1.4
South Dakota.............          31.3         412.8       1.9      677      3.2
Tennessee................         141.0       2,669.1       2.0      816      2.8
Texas....................         592.9      10,779.5       3.0      922      2.6
Utah.....................          84.8       1,225.8       3.6      766      1.3
Vermont..................          24.7         300.2       1.0      792      2.6
Virginia.................         238.1       3,659.9       1.2      952      0.3
Washington...............         234.6       2,948.3       2.4      947      2.2
West Virginia............          49.3         712.3       1.4      776      1.4
Wisconsin................         160.0       2,749.7       1.4      778      1.4
                                                                                 
Wyoming..................          25.5         288.9       1.6      842      2.7
                                                                                 
Puerto Rico..............          49.2         933.3       1.8      499      0.6
Virgin Islands...........           3.5          40.2      -8.6      819      9.8

(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: January 08, 2013
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