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Economic News Release
PRINT:Print
QCEW QCEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, September 29, 2011  USDL-11-1397

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


County Employment and Wages
First Quarter 2011


From March 2010 to March 2011, employment increased in 256 of the 322
largest U.S. counties, the U.S. Bureau of Labor Statistics reported
today. Elkhart, Ind., posted the largest percentage increase, with a
gain of 6.2 percent over the year, compared with national job growth
of 1.3 percent. Within Elkhart, the largest employment increase
occurred in manufacturing, which gained 5,125 jobs over the year
(12.4 percent). Sacramento, Calif., experienced the largest over-the-
year percentage decrease in employment among the largest counties in
the U.S. with a loss of 1.6 percent.

The U.S. average weekly wage increased over the year by 5.2 percent
to $935 in the first quarter of 2011. Among the large counties in the
U.S., Peoria, Ill., had the largest over-the-year increase in average
weekly wages in the first quarter of 2011 with a gain of 18.9
percent. Within Peoria, professional and business services had the
largest impact on the county’s over-the-year increase in average
weekly wages. Williamson, Texas, experienced the largest decline in
average weekly wages with a loss of 3.8 percent over the year. County
employment and wage data are compiled under the Quarterly Census of
Employment and Wages (QCEW) program.

Table A.  Large counties ranked by March 2011 employment, March 2010-11 employment
increase, and March 2010-11 percent increase in employment

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
       March 2011 employment      |      Increase in employment,     |  Percent increase in employment,
            (thousands)           |           March 2010-11          |           March 2010-11
                                  |            (thousands)           |
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 United States           127,851.0| United States             1,622.8| United States                 1.3
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 Los Angeles, Calif.       3,887.9| Harris, Texas                44.6| Elkhart, Ind.                 6.2
 Cook, Ill.                2,333.9| New York, N.Y.               43.4| Ottawa, Mich.                 4.7
 New York, N.Y.            2,304.1| Los Angeles, Calif.          37.3| Washington, Pa.               4.3
 Harris, Texas             2,014.4| Orange, Calif.               26.7| Prince William, Va.           4.3
 Maricopa, Ariz.           1,628.8| Dallas, Texas                26.7| Benton, Wash.                 4.3
 Dallas, Texas             1,416.9| Santa Clara, Calif.          24.6| Butler, Pa.                   4.2
 Orange, Calif.            1,370.6| Cook, Ill.                   22.9| Loudoun, Va.                  4.2
 San Diego, Calif.         1,239.7| Maricopa, Ariz.              21.1| Williamson, Tenn.             4.1
 King, Wash.               1,117.2| King, Wash.                  20.0| Washington, Ore.              4.0
 Miami-Dade, Fla.            967.7| Hennepin, Minn.              19.3| Collier, Fla.                 3.8
                                  |                                  |
--------------------------------------------------------------------------------------------------------

Large County Employment

In March 2011, national employment, as measured by the QCEW program,
was 127.9 million, up by 1.3 percent or 1.6 million workers, from
March 2010. The 322 U.S. counties with 75,000 or more employees
accounted for 70.7 percent of total U.S. employment and 77.4 percent
of total wages. These 322 counties had a net job growth of 1,054,300
over the year, accounting for 65.0 percent of the overall U.S.
employment increase.

Elkhart, Ind., had the largest percentage increase in employment
among the largest U.S. counties (6.2 percent). The five counties with
the largest increases in employment level were Harris, Texas; New
York, N.Y.; Los Angeles, Calif.; Orange, Calif.; and Dallas, Texas.
These counties had a combined over-the-year gain of 178,700, or 11.0
percent of the employment increase for the U.S.  

Employment declined in 53 of the large counties from March 2010 to
March 2011. Sacramento, Calif., had the largest over-the-year
percentage decrease in employment (-1.6 percent). Within Sacramento,
construction was the largest contributor to the decrease in
employment with a loss of 9.5 percent. Montgomery, Ala., and
Atlantic, N.J., tied for the second largest employment decrease,
followed by San Joaquin, Calif., Marion, Fla., and Champaign, Ill.,
which tied for the third largest decline. (See table 1.)

Table B.  Large counties ranked by first quarter 2011 average weekly wages, first quarter 2010-11
increase in average weekly wages, and first quarter 2010-11 percent increase in average weekly wages

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average
         first quarter 2011       |    wage, first quarter 2010-11   |         weekly wage, first
                                  |                                  |          quarter 2010-11
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 United States                $935| United States                 $46| United States                 5.2
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 New York, N.Y.             $2,634| New York, N.Y.               $222| Peoria, Ill.                 18.9
 Fairfield, Conn.            1,888| Santa Clara, Calif.           205| Santa Clara, Calif.          12.4
 Somerset, N.J.              1,867| Peoria, Ill.                  150| Macomb, Mich.                12.0
 Santa Clara, Calif.         1,863| Somerset, N.J.                114| Clayton, Ga.                 11.9
 San Francisco, Calif.       1,723| San Francisco, Calif.         112| Wayne, Mich.                 11.3
 Suffolk, Mass.              1,625| Fulton, Ga.                   111| Brazoria, Texas              10.0
 Arlington, Va.              1,549| Wayne, Mich.                  104| Saginaw, Mich.                9.8
 Washington, D.C.            1,540| Fairfield, Conn.              102| Stark, Ohio                   9.7
 Hudson, N.J.                1,509| Hartford, Conn.               102| Butler, Pa.                   9.3
 San Mateo, Calif.           1,485| Macomb, Mich.                 101| New York, N.Y.                9.2
                                  |                                  |
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased by 5.2 percent over the
year in the first quarter of 2011. Among the 322 largest counties,
315 had over-the-year increases in average weekly wages. Peoria, Ill.,
had the largest wage gain among the largest U.S. counties (18.9 percent).

Of the 322 largest counties, 3 experienced declines in average weekly
wages. Williamson, Texas, had the largest wage decline with a loss of
3.8 percent over the year. Trade, transportation, and utilities
contributed significantly to the county’s overall average weekly wage
loss. Hudson, N.J., had the second largest percent decline in average
weekly wages among the counties, followed by Durham, N.C. (See table
1.)

Ten Largest U.S. Counties

All of the 10 largest counties experienced over-the-year percent
increases in employment in March 2011. Harris, Texas, experienced the
largest gain in employment (2.3 percent). Within Harris, professional
and business services had the largest over-the-year increase among
all private industry groups with a gain of 16,522 workers (5.3
percent). Los Angeles, Calif., and Cook, Ill., both had the smallest
percent increase in employment. (See table 2.)

All of the 10 largest U.S. counties had an over-the-year increase in
average weekly wages. New York, N.Y., experienced the largest
increase in average weekly wages with a gain of 9.2 percent. Within
New York, the largest impact on the county’s average weekly wage
growth occurred in financial activities, largely due to significant
total wage gains over the year ($5,287.0 million or 15.4 percent).
Orange, Calif., had the smallest average weekly wage increase.

For More Information

The tables and charts included in this release contain data for the
nation and for the 322 U.S. counties with annual average employment
levels of 75,000 or more in 2010. March 2011 employment and 2011
first quarter average weekly wages for all states are provided in
table 3 of this release.

The employment and wage data by county are compiled under the QCEW
program, also known as the ES-202 program. The data are derived from
reports submitted by every employer subject to unemployment insurance
(UI) laws. The 9.1 million employer reports cover 127.9 million full-
and part-time workers. For additional information about the
quarterly employment and wages data, please read the Technical Note.
Data for the first quarter of 2011 will be available later at
http://www.bls.gov/cew/. Additional information about the QCEW data
may be obtained by calling (202) 691-6567.

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

_____________
The County Employment and Wages release for second quarter 2011 is
scheduled to be released on Tuesday, January 10, 2012.


  --------------------------------------------------------------------------------------
 |                                                                     	 		|
 | Industry Changes to Quarterly Census of Employment and Wages Data		        |
 |                                                                     	 		|
 | Beginning with the Quarterly Census of Employment and Wages data 	  	 	|
 | presented in this release, the Bureau of Labor Statistics is introducing  	 	|
 | the 2012 version of the North American Industry Classification System as	 	|
 | the basis for the assignment and tabulation of economic data by industry.   		|
 | For more information on the change, please see the Federal Register notice  		|
 | at http://www.census.gov/eos/www/naics/federal_register_notices/notices/fr17au11.pdf.|
 | For more information on the impact of the change, please see 			|
 | http://www.bls.gov/cew/naics2012.htm.						|
 |											|
  --------------------------------------------------------------------------------------


  --------------------------------------------------------------------------------------
 |                                                                     	 		|
 | County Changes for the 2011 County Employment and Wages News Releases		|
 |                                                                     	 		|
 | Counties with annual average employment of 75,000 or more in 2010 are included 	|
 | in this release and will be included in future 2011 releases. Four counties 		|
 | will be excluded: Okaloosa, Fla., Rock Island, Ill., St. Tammany, La., and		|
 | Potter, Texas. No counties have been added to the publication tables.	 	|
 |											|
  --------------------------------------------------------------------------------------





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 2011 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 323 counties presented
in this release were derived using 2010 preliminary annual averages of employment.
For 2011 data, four counties, Okaloosa, Fla., Rock Island, Ill., St. Tammany, La.,
and Potter, Texas, which were published in the 2010 releases, will be excluded from
this and future 2011 releases because their 2010 annual average employment levels
were less than 75,000. No counties have been added to the publication tables.
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- |  440,000 establish-
            |  submitted by 9.1   |  ministrative records|  ments
            |  million establish- |  submitted by 6.7    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2011    |  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 annu-
            |  new quarter of UI  |  dinal database and  |  ally realigns (bench-
            |  data               |  directly summarizes |  marks) sample esti-
            |                     |  gross job gains and |  mates to first quar-
            |                     |  losses              |  ter UI levels
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, 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 9.0 million employer reports of employment and wages
submitted by states to the BLS in 2010. 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 2010, UI and UCFE programs covered workers in 127.8 million jobs. The estimated
123.2 million workers in these jobs (after adjustment for multiple jobholders)
represented 95.3 percent of civilian wage and salary employment. Covered workers
received $5.976 trillion in pay, representing 93.3 percent of the wage and salary
component of personal income and 41.1 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 2010 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 2009 edition of this publication, which was published in March 2011,
contains selected data produced by Business Employment Dynamics (BED) on job gains
and losses, as well as selected data from the first quarter 2010 version of this
news release. This web-only publication has replaced the print version of the
annual bulletin, Employment and Wages Annual Averages. Tables and additional content
from Employment and Wages Annual Averages Online, 2009 are now available online at
http://www.bls.gov/cew/cewbultn09.htm. The 2010 edition of Employment and Wages
Annual Averages Online will be available later in 2011.

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 323 largest counties,
first quarter 2011(2)


                                                     Employment               Average weekly wage(4)

                          Establishments,
        County(3)          first quarter                Percent   Ranking            Percent   Ranking
                                2011         March      change,      by     First    change,      by
                            (thousands)       2011       March    percent  quarter    first    percent
                                          (thousands) 2010-11(5)   change    2011    quarter    change
                                                                                   2010-11(5)

United States(6).........       9,074.3     127,851.0       1.3         -     $935       5.2         -

Jefferson, AL............          17.8         328.8      -0.5       280      919       4.9        99
Madison, AL..............           8.8         176.4      -0.8       294      978       4.4       134
Mobile, AL...............           9.8         165.0       0.9       169      741       4.7       111
Montgomery, AL...........           6.3         127.2      -1.5       314      764       4.1       157
Tuscaloosa, AL...........           4.2          83.1       1.5       106      778       5.9        64
Anchorage Borough, AK....           8.1         147.4       1.7        86      958       2.6       264
Maricopa, AZ.............          93.8       1,628.8       1.3       132      889       5.1        89
Pima, AZ.................          18.9         344.0      -0.7       290      768       4.2       148
Benton, AR...............           5.4          92.5       (7)         -    1,110       6.5        45
Pulaski, AR..............          15.1         241.6       0.3       229      819       5.5        80

Washington, AR...........           5.5          89.2       (7)         -      726       4.6       116
Alameda, CA..............          56.4         632.2      -0.1       264    1,183       4.0       165
Contra Costa, CA.........          30.3         312.6      -0.1       264    1,210       6.4        49
Fresno, CA...............          30.9         322.4       1.6        97      709       3.4       200
Kern, CA.................          18.0         259.5       1.8        80      790       4.2       148
Los Angeles, CA..........         438.0       3,887.9       1.0       158    1,046       6.6        43
Marin, CA................          11.9         101.5       2.4        42    1,103       7.2        29
Monterey, CA.............          13.0         148.1      -0.3       274      808       1.6       301
Orange, CA...............         104.8       1,370.6       2.0        65    1,035       3.3       213
Placer, CA...............          10.9         126.2       1.3       132      876       4.5       125

Riverside, CA............          50.1         559.0      -0.1       264      748       3.2       219
Sacramento, CA...........          54.3         573.9      -1.6       316    1,025       5.1        89
San Bernardino, CA.......          51.5         592.0      -0.3       274      754       3.3       213
San Diego, CA............         100.7       1,239.7       1.4       118    1,003       7.2        29
San Francisco, CA........          55.1         548.6       2.9        26    1,723       7.0        35
San Joaquin, CA..........          17.4         196.0      -1.4       311      752       3.2       219
San Luis Obispo, CA......           9.7         100.0       1.1       148      742       2.1       285
San Mateo, CA............          24.6         322.3       1.5       106    1,485       1.6       301
Santa Barbara, CA........          14.6         173.9       1.4       118      869       5.1        89
Santa Clara, CA..........          63.1         857.3       3.0        19    1,863      12.4         2

Santa Cruz, CA...........           9.1          87.3       1.5       106      814       2.1       285
Solano, CA...............          10.2         118.1       0.2       242      921       2.7       260
Sonoma, CA...............          18.9         174.9       1.6        97      846       3.4       200
Stanislaus, CA...........          15.2         156.5      -0.2       271      748       2.5       268
Tulare, CA...............           9.5         134.7       1.1       148      622       2.8       248
Ventura, CA..............          24.3         300.6       1.4       118      964       4.4       134
Yolo, CA.................           6.2          89.0       (7)         -      892       (7)         -
Adams, CO................           8.8         151.3       0.8       180      806       4.1       157
Arapahoe, CO.............          18.6         272.0       2.0        65    1,130       2.7       260
Boulder, CO..............          12.8         153.1       1.7        86    1,050       3.9       170

Denver, CO...............          25.0         417.8       2.0        65    1,212       5.0        94
Douglas, CO..............           9.3          87.9       0.6       196    1,069       7.1        34
El Paso, CO..............          16.7         232.0       1.4       118      812       2.9       242
Jefferson, CO............          17.7         200.3       0.5       206      929       3.7       183
Larimer, CO..............           9.9         124.4       1.2       139      795       5.3        83
Weld, CO.................           5.7          80.6       3.6        12      776       7.6        22
Fairfield, CT............          32.4         396.3       2.3        49    1,888       5.7        73
Hartford, CT.............          25.3         481.1       1.1       148    1,260       8.8        11
New Haven, CT............          22.2         344.3       0.9       169      956       4.7       111
New London, CT...........           6.9         122.0       0.0       257      960       4.7       111

New Castle, DE...........          17.5         261.9       1.6        97    1,194       6.3        51
Washington, DC...........          34.8         702.3       2.5        35    1,540       2.4       272
Alachua, FL..............           6.5         115.4       0.2       242      730       3.5       197
Brevard, FL..............          14.3         187.1      -0.5       280      801       2.2       279
Broward, FL..............          61.8         682.9       0.3       229      834       3.2       219
Collier, FL..............          11.5         119.6       3.8        10      767       4.1       157
Duval, FL................          26.5         439.1       1.8        80      891       3.1       226
Escambia, FL.............           7.8         120.1       0.8       180      690       4.2       148
Hillsborough, FL.........          36.6         574.6       0.7       188      880       4.5       125
Lake, FL.................           7.1          79.3       1.1       148      586       2.8       248

Lee, FL..................          18.2         199.9       1.4       118      711       4.3       143
Leon, FL.................           8.1         137.9       0.4       216      722       1.0       310
Manatee, FL..............           9.3         104.1       0.3       229      668       3.6       188
Marion, FL...............           7.8          89.0      -1.4       311      614       2.8       248
Miami-Dade, FL...........          85.5         967.7       1.9        74      874       3.4       200
Orange, FL...............          35.2         655.7       2.1        56      805       4.4       134
Palm Beach, FL...........          48.7         496.5       0.7       188      886       4.4       134
Pasco, FL................           9.7          98.6       2.4        42      596       2.8       248
Pinellas, FL.............          30.1         379.7      -1.1       304      765       2.8       248

Polk, FL.................          12.3         191.4      -0.5       280      668       3.9       170
Sarasota, FL.............          14.2         135.3       1.4       118      722       2.4       272
Seminole, FL.............          13.7         154.4      -0.5       280      735       3.1       226
Volusia, FL..............          13.2         151.0      -0.7       290      629       2.8       248
Bibb, GA.................           4.6          79.0       0.1       249      699       2.5       268
Chatham, GA..............           7.6         128.0       0.7       188      752       3.9       170
Clayton, GA..............           4.2         101.5       1.0       158      844      11.9         4
Cobb, GA.................          20.6         285.6       0.7       188      962       4.0       165
De Kalb, GA..............          17.4         272.4       1.0       158      992       6.0        60
Fulton, GA...............          39.7         710.8       1.2       139    1,370       8.8        11

Gwinnett, GA.............          23.4         298.6       2.7        30      879       3.4       200
Muscogee, GA.............           4.6          92.8       0.9       169      749       5.9        64
Richmond, GA.............           4.6          99.3       1.7        86      743       3.9       170
Honolulu, HI.............          24.5         436.5       1.5       106      821       3.1       226
Ada, ID..................          14.0         190.0       0.4       216      773       4.9        99
Champaign, IL............           4.2          86.3      -1.4       311      750       2.9       242
Cook, IL.................         145.1       2,333.9       1.0       158    1,145       5.8        70
Du Page, IL..............          36.5         546.6       1.8        80    1,076       3.4       200
Kane, IL.................          13.2         187.8       0.9       169      777       2.8       248
Lake, IL.................          21.7         303.1       (7)         -    1,230       (7)         -

McHenry, IL..............           8.6          89.7      -0.5       280      727       4.5       125
McLean, IL...............           3.8          84.8       0.1       249      904       2.1       285
Madison, IL..............           6.0          94.3       2.0        65      738       2.1       285
Peoria, IL...............           4.7          99.8       2.5        35      944      18.9         1
St. Clair, IL............           5.5          93.6       0.6       196      709       2.0       293
Sangamon, IL.............           5.3         125.9       1.2       139      907       3.4       200
Will, IL.................          14.7         192.9       0.9       169      793       5.0        94
Winnebago, IL............           6.8         122.9       0.3       229      769       7.6        22
Allen, IN................           9.0         170.4       2.1        56      747       4.0       165

Elkhart, IN..............           4.9         102.5       6.2         1      698       5.4        82
Hamilton, IN.............           8.3         107.8       2.5        35      924       6.6        43
Lake, IN.................          10.3         181.1       0.6       196      791       5.6        77
Marion, IN...............          23.8         542.2       1.0       158      987       3.6       188
St. Joseph, IN...........           6.0         114.9       0.7       188      723       3.1       226
Vanderburgh, IN..........           4.8         104.0       0.1       249      729       5.7        73
Linn, IA.................           6.2         123.4       1.7        86      847       3.9       170
Polk, IA.................          14.5         260.6      -0.5       280      940       4.9        99
Scott, IA................           5.2          84.2       1.1       148      725       6.1        57
Johnson, KS..............          21.1         295.8       1.5       106      955       2.5       268

Sedgwick, KS.............          12.5         237.6       0.1       249      816       6.9        37
Shawnee, KS..............           4.9          93.9      -1.1       304      751       4.3       143
Wyandotte, KS............           3.3          79.3       1.8        80      826       4.4       134
Fayette, KY..............           9.6         169.5       1.7        86      811       6.0        60
Jefferson, KY............          22.6         407.9       1.3       132      873       3.4       200
Caddo, LA................           7.5         120.4       0.5       206      736       6.8        38
Calcasieu, LA............           5.0          82.2       0.2       242      768       4.8       105
East Baton Rouge, LA.....          14.7         254.2       0.1       249      831       2.8       248
Jefferson, LA............          14.0         192.1       0.4       216      831       3.6       188
Lafayette, LA............           9.1         132.0       2.3        49      847       4.7       111

Orleans, LA..............          11.1         173.1       1.2       139      983       3.0       236
Cumberland, ME...........          12.5         164.1       1.3       132      835       4.8       105
Anne Arundel, MD.........          14.5         224.7       1.1       148      958       (7)         -
Baltimore, MD............          21.1         357.7       0.3       229      920       2.3       276
Frederick, MD............           6.0          90.4       0.3       229      904       5.9        64
Harford, MD..............           5.6          81.4       2.5        35      844       4.5       125
Howard, MD...............           8.9         147.7       2.5        35    1,141       6.5        45
Montgomery, MD...........          32.9         445.7       2.0        65    1,311       3.9       170
Prince Georges, MD.......          15.7         297.8       0.6       196      933       2.1       285

Baltimore City, MD.......          13.7         327.8       0.6       196    1,081       3.7       183
Barnstable, MA...........           9.3          78.3       0.1       249      759       4.5       125
Bristol, MA..............          16.6         205.0       1.4       118      791       6.3        51
Essex, MA................          22.0         291.6       1.7        86      955       6.3        51
Hampden, MA..............          15.5         191.7       1.4       118      812       1.0       310
Middlesex, MA............          49.9         796.6       0.9       169    1,370       7.3        27
Norfolk, MA..............          24.8         309.4       0.5       206    1,066       4.5       125
Plymouth, MA.............          14.5         166.6       0.6       196      815       5.0        94
Suffolk, MA..............          23.5         574.8       1.4       118    1,625       5.0        94
Worcester, MA............          21.8         309.2       1.6        97      908       7.2        29

Genesee, MI..............           7.3         126.1       0.0       257      742       8.3        15
Ingham, MI...............           6.4         151.0      -0.4       277      879       6.0        60
Kalamazoo, MI............           5.3         106.2       0.9       169      816       5.0        94
Kent, MI.................          13.7         310.0       3.0        19      792       3.4       200
Macomb, MI...............          16.8         277.6       3.0        19      941      12.0         3
Oakland, MI..............          37.0         618.7       2.7        30    1,019       7.5        24
Ottawa, MI...............           5.5         101.2       4.7         2      714       6.1        57
Saginaw, MI..............           4.1          79.1       1.6        97      760       9.8         7
Washtenaw, MI............           8.0         188.9       2.1        56      925       1.1       307
Wayne, MI................          30.7         660.6       1.5       106    1,021      11.3         5

Anoka, MN................           7.1         104.0       0.3       229      829       7.2        29
Dakota, MN...............           9.7         165.0       0.3       229      895       3.6       188
Hennepin, MN.............          43.5         805.9       2.4        42    1,197       7.7        20
Olmsted, MN..............           3.4          85.4      -0.3       274      968       3.4       200
Ramsey, MN...............          13.9         310.1       0.2       242    1,093       6.2        55
St. Louis, MN............           5.7          91.2       0.2       242      722       5.6        77
Stearns, MN..............           4.3          77.2       2.5        35      700       2.2       279
Harrison, MS.............           4.5          82.0       0.7       188      668       1.7       300
Hinds, MS................           6.0         121.6      -1.1       304      778       3.9       170
Boone, MO................           4.4          82.0       1.0       158      692       3.1       226

Clay, MO.................           5.0          89.3       0.8       180      850       2.4       272
Greene, MO...............           8.0         147.0      -0.6       287      661       4.6       116
Jackson, MO..............          18.0         338.9       0.0       257      894       1.6       301
St. Charles, MO..........           8.1         120.2       2.2        53      744       1.6       301
St. Louis, MO............          31.8         560.8       0.1       249      973       3.6       188
St. Louis City, MO.......           8.8         212.1      -0.6       287    1,037       2.8       248
Yellowstone, MT..........           5.9          74.6       0.0       257      721       4.6       116
Douglas, NE..............          15.8         307.4       0.9       169      853       3.1       226
Lancaster, NE............           8.1         151.5       0.4       216      711       3.6       188
Clark, NV................          47.2         795.2       0.4       216      790       1.8       297

Washoe, NV...............          13.6         179.9      -0.8       294      789       3.4       200
Hillsborough, NH.........          11.8         185.0       1.3       132      975       5.9        64
Rockingham, NH...........          10.5         129.7       1.3       132      857       5.7        73
Atlantic, NJ.............           6.8         128.3      -1.5       314      772       2.8       248
Bergen, NJ...............          33.5         420.2       0.6       196    1,152       2.8       248
Burlington, NJ...........          11.1         189.1      -1.1       304      957       3.5       197
Camden, NJ...............          12.4         191.3      -0.9       298      903       5.7        73
Essex, NJ................          20.9         336.0      -0.8       294    1,229       4.5       125
Gloucester, NJ...........           6.2          96.4       0.3       229      766       1.1       307
Hudson, NJ...............          13.8         229.4       0.0       257    1,509      -1.5       317

Mercer, NJ...............          11.2         226.1       0.5       206    1,283       5.3        83
Middlesex, NJ............          21.9         371.7      -0.2       271    1,191       4.6       116
Monmouth, NJ.............          20.2         237.4      -0.7       290      945       2.7       260
Morris, NJ...............          17.4         264.9      -0.5       280    1,462       2.5       268
Ocean, NJ................          12.2         140.2      -0.2       271      746       3.2       219
Passaic, NJ..............          12.2         169.1       0.5       206      921       3.1       226
Somerset, NJ.............          10.1         164.9       0.4       216    1,867       6.5        45
Union, NJ................          14.6         215.1      -0.9       298    1,199       1.9       294
Bernalillo, NM...........          17.6         308.5      -0.4       277      781       2.6       264
Albany, NY...............          10.0         215.2      -0.9       298      937       2.9       242

Bronx, NY................          17.0         234.1       0.8       180      818       3.2       219
Broome, NY...............           4.5          89.5      -1.0       302      703       4.5       125
Dutchess, NY.............           8.1         109.3      -0.1       264      917       1.8       297
Erie, NY.................          23.7         444.8       0.5       206      794       4.6       116
Kings, NY................          50.9         503.9       3.7        11      725       1.1       307
Monroe, NY...............          18.1         366.1       0.5       206      847       3.4       200
Nassau, NY...............          52.7         578.6       0.4       216    1,015       3.3       213
New York, NY.............         121.9       2,304.1       1.9        74    2,634       9.2        10
Oneida, NY...............           5.3         104.6      -1.3       310      708       4.1       157
Onondaga, NY.............          12.8         236.8      -0.1       264      831       4.3       143

Orange, NY...............          10.0         128.2       1.5       106      755       2.2       279
Queens, NY...............          45.7         494.0       1.6        97      844       4.2       148
Richmond, NY.............           9.0          90.8       1.8        80      758       3.6       188
Rockland, NY.............           9.9         112.0       1.2       139      991       2.6       264
Suffolk, NY..............          50.8         596.3       0.7       188      972       4.2       148
Westchester, NY..........          36.2         397.8       1.0       158    1,332       1.4       305
Buncombe, NC.............           7.8         110.5       2.1        56      676       4.8       105
Catawba, NC..............           4.4          78.4       2.8        28      692       7.5        24
Cumberland, NC...........           6.2         118.9       1.3       132      695       4.2       148
Durham, NC...............           7.1         177.8       1.4       118    1,276      -0.5       316

Forsyth, NC..............           8.9         170.6      -0.8       294      891       7.9        18
Guilford, NC.............          14.0         260.6       1.7        86      802       4.8       105
Mecklenburg, NC..........          31.9         546.4       2.8        28    1,231       7.3        27
New Hanover, NC..........           7.2          96.2       2.1        56      741       4.2       148
Wake, NC.................          28.6         437.2       3.3        14      917       1.9       294
Cass, ND.................           5.9         100.2       3.0        19      765       6.7        41
Butler, OH...............           7.3         136.5       0.4       216      781       0.5       314
Cuyahoga, OH.............          35.7         675.4       0.5       206      953       7.4        26
Franklin, OH.............          29.2         644.1       1.4       118      920       4.4       134
Hamilton, OH.............          23.1         478.5       0.8       180      992       4.1       157

Lake, OH.................           6.5          90.9       0.4       216      774       3.6       188
Lorain, OH...............           6.1          91.3       2.5        35      750       7.0        35
Lucas, OH................          10.3         196.4       1.5       106      793       5.9        64
Mahoning, OH.............           6.1          94.5       1.7        86      632       4.6       116
Montgomery, OH...........          12.2         238.9       0.8       180      782       3.3       213
Stark, OH................           8.7         148.5       2.2        53      703       9.7         8
Summit, OH...............          14.3         248.9       0.3       229      841       2.2       279
Oklahoma, OK.............          24.4         413.5       2.0        65      837       5.5        80
Tulsa, OK................          20.2         324.5       0.2       242      825       5.1        89
Clackamas, OR............          12.5         135.2       0.6       196      798       3.4       200

Jackson, OR..............           6.5          73.2      -1.1       304      644       2.7       260
Lane, OR.................          10.8         134.7       0.9       169      672       3.4       200
Marion, OR...............           9.3         128.0      -1.0       302      699       1.9       294
Multnomah, OR............          29.0         424.9       2.0        65      918       5.2        85
Washington, OR...........          16.2         239.4       4.0         9    1,120       6.8        38
Allegheny, PA............          35.1         666.8       1.5       106      997       5.2        85
Berks, PA................           9.0         161.7       1.4       118      780       4.0       165
Bucks, PA................          19.6         244.9       0.5       206      855       3.1       226
Butler, PA...............           4.8          80.2       4.2         6      799       9.3         9
Chester, PA..............          14.9         233.3       1.1       148    1,164       2.9       242

Cumberland, PA...........           6.0         120.5       1.1       148      815       3.7       183
Dauphin, PA..............           7.4         173.3       0.4       216      889       4.6       116
Delaware, PA.............          13.6         205.3       1.7        86    1,003       3.7       183
Erie, PA.................           7.6         121.9       3.2        15      695       6.8        38
Lackawanna, PA...........           5.8          96.4      -0.4       277      665       2.9       242
Lancaster, PA............          12.4         214.0       0.4       216      734       4.7       111
Lehigh, PA...............           8.6         170.4       2.0        65      879       3.8       180
Luzerne, PA..............           7.7         136.3       1.0       158      684       4.1       157
Montgomery, PA...........          27.1         456.4       0.2       242    1,198       2.1       285
Northampton, PA..........           6.4          97.6       0.6       196      791       4.6       116

Philadelphia, PA.........          33.7         628.0       1.2       139    1,079       4.5       125
Washington, PA...........           5.5          80.2       4.3         3      867       8.8        11
Westmoreland, PA.........           9.3         128.8       1.1       148      716       6.1        57
York, PA.................           9.0         168.2       1.6        97      789       3.5       197
Providence, RI...........          17.4         263.9       0.0       257      895       2.3       276
Charleston, SC...........          11.6         206.6       2.9        26      774       5.9        64
Greenville, SC...........          12.1         228.3       2.7        30      770       5.2        85
Horry, SC................           7.5         101.9       0.4       216      534       2.9       242
Lexington, SC............           5.6          93.5       0.9       169      650       4.0       165
Richland, SC.............           8.8         201.8      -0.9       298      794       3.1       226

Spartanburg, SC..........           5.8         110.9       1.5       106      761       2.6       264
Minnehaha, SD............           6.5         111.9       1.4       118      748       4.9        99
Davidson, TN.............          18.1         415.0       1.0       158      927       3.2       219
Hamilton, TN.............           8.4         181.0       2.0        65      785       0.1       315
Knox, TN.................          10.7         215.4       1.9        74      750       3.0       236
Rutherford, TN...........           4.3          95.7       1.6        97      771       2.1       285
Shelby, TN...............          18.9         458.0       0.1       249      915       4.9        99
Williamson, TN...........           6.1          89.6       4.1         8    1,054       4.4       134
Bell, TX.................           4.7         106.9       2.4        42      736       4.1       157
Bexar, TX................          33.8         730.6       1.4       118      838       6.5        45

Brazoria, TX.............           4.9          87.8       3.2        15      922      10.0         6
Brazos, TX...............           3.9          86.7      -1.1       304      659       3.0       236
Cameron, TX..............           6.4         126.5       1.5       106      546       3.0       236
Collin, TX...............          18.2         291.0       3.1        17    1,075       5.8        70
Dallas, TX...............          67.9       1,416.9       1.9        74    1,156       5.2        85
Denton, TX...............          11.1         175.2       3.0        19      780       3.9       170
El Paso, TX..............          13.8         272.8       0.8       180      626       3.3       213
Fort Bend, TX............           9.2         133.0       2.4        42      979       8.2        16
Galveston, TX............           5.3          95.1       2.6        34      827       4.4       134
Harris, TX...............         100.9       2,014.4       2.3        49    1,258       7.7        20

Hidalgo, TX..............          11.0         226.0       2.3        49      556       3.2       219
Jefferson, TX............           6.0         120.9       1.9        74      920       8.1        17
Lubbock, TX..............           7.0         124.4       2.2        53      653       2.8       248
McLennan, TX.............           4.8          99.8       0.3       229      727       3.0       236
Montgomery, TX...........           8.7         130.8       3.0        19      886       7.9        18
Nueces, TX...............           7.9         152.7      -0.1       264      748       6.4        49
Smith, TX................           5.4          92.0       0.9       169      739       3.8       180
Tarrant, TX..............          37.6         750.5       1.7        86      900       3.3       213
Travis, TX...............          30.5         576.1       2.7        30    1,002       6.0        60

Webb, TX.................           4.8          87.6       2.4        42      590       4.8       105
Williamson, TX...........           7.6         128.4       3.0        19      953      -3.8       318
Davis, UT................           7.1         100.8       (7)         -      704       2.3       276
Salt Lake, UT............          36.2         559.5       1.7        86      856       3.8       180
Utah, UT.................          12.5         164.9       3.1        17      681       3.7       183
Weber, UT................           5.4          87.9      -0.1       264      642       2.4       272
Chittenden, VT...........           5.9          92.8       2.1        56      878       3.1       226
Arlington, VA............           8.2         166.6       3.6        12    1,549       0.8       313
Chesterfield, VA.........           7.5         113.0       0.8       180      830       4.1       157
Fairfax, VA..............          34.4         572.9       2.1        56    1,479       4.4       134

Henrico, VA..............           9.7         171.5       1.2       139    1,027       6.3        51
Loudoun, VA..............           9.7         134.7       4.2         6    1,093       2.1       285
Prince William, VA.......           7.6         108.3       4.3         3      808       1.3       306
Alexandria City, VA......           6.2          93.6       (7)         -    1,226       (7)         -
Chesapeake City, VA......           5.7          94.0       1.0       158      724       4.2       148
Newport News City, VA....           3.8          95.3       0.6       196      826       4.3       143
Norfolk City, VA.........           5.7         137.7       0.7       188      861       3.6       188
Richmond City, VA........           7.0         148.5       1.1       148    1,071       4.9        99
Virginia Beach City, VA..          11.2         159.4      -0.7       290      717       5.8        70
Benton, WA...............           5.7          80.8       4.3         3      959       4.8       105

Clark, WA................          13.3         125.7       0.4       216      800       4.3       143
King, WA.................          83.1       1,117.2       1.8        80    1,185       5.6        77
Kitsap, WA...............           6.7          80.2       0.0       257      798       1.8       297
Pierce, WA...............          21.8         259.3       0.3       229      821       3.0       236
Snohomish, WA............          19.2         241.1       2.1        56      968       8.8        11
Spokane, WA..............          15.9         194.3      -0.6       287      751       4.6       116
Thurston, WA.............           7.4          96.5       0.3       229      800       1.0       310
Whatcom, WA..............           7.0          77.7       1.6        97      745       6.7        41
Yakima, WA...............           8.9          95.0       1.2       139      606       2.2       279
Kanawha, WV..............           5.9         104.4       1.2       139      797       5.1        89

Brown, WI................           6.6         142.6       0.5       206      803       4.2       148
Dane, WI.................          14.0         293.6       1.5       106      878       6.2        55
Milwaukee, WI............          21.6         464.6       1.0       158      929       7.2        29
Outagamie, WI............           5.0          99.1       2.1        56      747       3.9       170
Waukesha, WI.............          12.7         217.9       2.4        42      902       3.9       170
Winnebago, WI............           3.7          88.5       1.9        74      831       2.2       279
San Juan, PR.............          11.9         259.7      -2.5       (8)      598      -0.2       (8)

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 322 U.S. counties comprise 70.7 percent of the total covered workers
in the U.S.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(7) Data do not meet BLS or State agency disclosure standards.
(8) This county was not included in the U.S. rankings.






Table 2. Covered(1) establishments, employment, and wages in the 10 largest counties,
first quarter 2011(2)


                                                                    Employment         Average weekly
                                                                                           wage(3)
                                              Establishments,
                                               first quarter
         County by NAICS supersector                2011                    Percent            Percent
                                                (thousands)      March      change,   First    change,
                                                                  2011       March   quarter    first
                                                              (thousands) 2010-11(4)   2011    quarter
                                                                                             2010-11(4)

United States(5).............................       9,074.3     127,851.0       1.3     $935       5.2
  Private industry...........................       8,776.1     106,054.4       1.8      941       5.7
    Natural resources and mining.............         127.3       1,701.7       5.3    1,116       9.7
    Construction.............................         774.2       5,137.6      -0.9      917       2.6
    Manufacturing............................         339.8      11,556.7       1.9    1,164       7.8
    Trade, transportation, and utilities.....       1,875.9      24,316.5       1.3      766       5.5
    Information..............................         143.9       2,659.8      -1.8    1,609       9.7
    Financial activities.....................         811.3       7,354.6      -0.3    1,886      10.2
    Professional and business services.......       1,553.4      16,972.0       4.1    1,212       5.1
    Education and health services............         902.8      18,941.2       1.9      793       3.1
    Leisure and hospitality..................         752.2      12,842.6       2.3      363       2.8
    Other services...........................       1,297.0       4,349.8       1.2      559       3.5
  Government.................................         298.2      21,796.6      -1.3      902       2.0

Los Angeles, CA..............................         438.0       3,887.9       1.0    1,046       6.6
  Private industry...........................         432.4       3,321.8       1.6    1,030       7.6
    Natural resources and mining.............           0.5          10.0      -0.9    1,645       7.2
    Construction.............................          12.7         102.4      -2.8    1,000       4.0
    Manufacturing............................          13.2         368.7      -0.7    1,149       7.1
    Trade, transportation, and utilities.....          51.5         735.0       1.7      804       5.8
    Information..............................           8.3         186.1       1.0    1,997      10.1
    Financial activities.....................          22.1         209.6      -0.5    1,907      12.0
    Professional and business services.......          41.2         546.4       2.1    1,265       6.2
    Education and health services............          28.8         511.8       2.7      912       4.9
    Leisure and hospitality..................          26.9         387.9       2.9      589      13.9
    Other services...........................         205.8         243.0      -2.6      442       5.2
  Government.................................           5.7         566.1      -2.4    1,139       2.5

Cook, IL.....................................         145.1       2,333.9       1.0    1,145       5.8
  Private industry...........................         143.7       2,033.8       1.6    1,154       6.1
    Natural resources and mining.............           0.1           0.8      -2.9      782      -5.1
    Construction.............................          12.2          56.4      -2.8    1,276      -0.2
    Manufacturing............................           6.6         193.7       1.0    1,104       7.6
    Trade, transportation, and utilities.....          28.1         427.4       1.5      841       8.5
    Information..............................           2.6          51.3      -1.1    1,849       8.4
    Financial activities.....................          15.4         184.8      -2.0    2,867      15.7
    Professional and business services.......          30.4         400.1       2.6    1,432       1.6
    Education and health services............          15.1         402.1       3.0      835       2.3
    Leisure and hospitality..................          12.6         219.8       2.4      422       5.0
    Other services...........................          15.8          93.3       0.8      743       3.5
  Government.................................           1.4         300.1      -2.8    1,085       (6)

New York, NY.................................         121.9       2,304.1       1.9    2,634       9.2
  Private industry...........................         121.6       1,865.2       3.0    2,995       8.9
    Natural resources and mining.............           0.0           0.2      25.6    2,745      22.8
    Construction.............................           2.2          29.7      -2.5    1,609       4.1
    Manufacturing............................           2.5          25.6      -1.3    1,644       9.1
    Trade, transportation, and utilities.....          21.1         234.7       3.2    1,252       6.5
    Information..............................           4.4         131.8       1.1    2,751      11.4
    Financial activities.....................          19.0         351.8       2.6    8,684      12.3
    Professional and business services.......          25.4         460.8       2.9    2,512       3.5
    Education and health services............           9.3         302.8       0.7    1,065       5.1
    Leisure and hospitality..................          12.6         232.3       6.7      762       8.1
    Other services...........................          18.9          87.4       2.1    1,270       7.2
  Government.................................           0.3         438.9      -2.3    1,095       4.1

Harris, TX...................................         100.9       2,014.4       2.3    1,258       7.7
  Private industry...........................         100.4       1,749.9       2.7    1,302       8.1
    Natural resources and mining.............           1.6          77.4       7.3    4,206       7.5
    Construction.............................           6.5         131.5      -2.4    1,092       2.7
    Manufacturing............................           4.5         172.6       4.0    1,607       9.4
    Trade, transportation, and utilities.....          22.6         419.4       2.2    1,167       8.5
    Information..............................           1.3          28.2      -1.6    1,378       6.7
    Financial activities.....................          10.5         111.6      -0.3    1,882      13.9
    Professional and business services.......          20.0         326.7       5.3    1,441       (6)
    Education and health services............          11.3         240.6       2.6      876       4.2
    Leisure and hospitality..................           8.1         180.9       3.0      384       0.8
    Other services...........................          13.5          60.1       1.5      658       7.5
  Government.................................           0.6         264.4      -0.6      968       3.1

Maricopa, AZ.................................          93.8       1,628.8       1.3      889       5.1
  Private industry...........................          93.1       1,412.8       1.8      898       5.4
    Natural resources and mining.............           0.5           7.6       5.0    1,152      16.4
    Construction.............................           8.5          77.7      -2.5      884       1.7
    Manufacturing............................           3.2         107.8       1.0    1,439      13.6
    Trade, transportation, and utilities.....          21.7         331.8       1.4      847       6.8
    Information..............................           1.5          27.0       0.6    1,208       6.5
    Financial activities.....................          11.0         134.2       1.7    1,270       7.4
    Professional and business services.......          22.0         264.7       2.7      925       3.0
    Education and health services............          10.4         237.5       2.9      864       1.6
    Leisure and hospitality..................           6.9         176.0       2.3      409       1.7
    Other services...........................           6.6          47.9       2.4      585       5.0
  Government.................................           0.7         215.9      -2.0      829       2.5

Dallas, TX...................................          67.9       1,416.9       1.9    1,156       5.2
  Private industry...........................          67.3       1,248.2       2.2    1,180       5.5
    Natural resources and mining.............           0.6           8.7      11.5    4,366      10.2
    Construction.............................           4.0          66.2       0.2      960       2.8
    Manufacturing............................           2.9         113.7      -0.2    1,501      16.7
    Trade, transportation, and utilities.....          14.8         280.1       1.8      982       3.9
    Information..............................           1.6          45.5       0.0    2,078      11.7
    Financial activities.....................           8.4         137.6       0.9    1,879       8.3
    Professional and business services.......          14.8         263.0       3.8    1,251       1.2
    Education and health services............           7.1         166.2       3.4      941       2.2
    Leisure and hospitality..................           5.6         127.8       3.3      474      -1.0
    Other services...........................           7.1          38.8       2.2      628       3.6
  Government.................................           0.5         168.7      -0.3      975       1.9

Orange, CA...................................         104.8       1,370.6       2.0    1,035       3.3
  Private industry...........................         103.4       1,224.2       2.4    1,014       3.8
    Natural resources and mining.............           0.2           4.3     -15.9      635      12.6
    Construction.............................           6.3          67.1      -0.4    1,049       1.5
    Manufacturing............................           5.0         150.3       1.3    1,239       3.8
    Trade, transportation, and utilities.....          16.1         242.5       0.4      944       5.4
    Information..............................           1.2          24.0      -3.1    1,796      -1.1
    Financial activities.....................           9.7         103.4       1.7    1,629       2.5
    Professional and business services.......          18.6         248.5       3.9    1,204       5.2
    Education and health services............          10.3         159.0       (6)      883       3.8
    Leisure and hospitality..................           7.2         168.9       3.6      408       4.9
    Other services...........................          21.6          48.8       1.6      516       3.0
  Government.................................           1.4         146.4      -1.6    1,214       0.9

San Diego, CA................................         100.7       1,239.7       1.4    1,003       7.2
  Private industry...........................          99.2       1,017.7       1.7      989       8.4
    Natural resources and mining.............           0.7          11.4       2.8      491       1.2
    Construction.............................           6.2          54.7      -0.2    1,033       5.5
    Manufacturing............................           3.0          92.5      -0.1    1,458       9.1
    Trade, transportation, and utilities.....          13.6         195.4       0.9      797       7.3
    Information..............................           1.2          24.3      -2.6    1,624      12.5
    Financial activities.....................           8.5          67.1       0.4    1,343       8.7
    Professional and business services.......          16.0         210.1       2.2    1,432      13.4
    Education and health services............           8.4         146.5       2.9      880       4.0
    Leisure and hospitality..................           7.0         152.5       1.5      387       2.4
    Other services...........................          28.3          56.7       0.7      499       4.2
  Government.................................           1.4         222.0       0.0    1,068       2.2

King, WA.....................................          83.1       1,117.2       1.8    1,185       5.6
  Private industry...........................          82.5         959.8       2.2    1,198       6.1
    Natural resources and mining.............           0.4           2.5      -0.3    1,492      -3.4
    Construction.............................           5.8          43.5      -4.5    1,108       0.1
    Manufacturing............................           2.3          97.6       0.8    1,579      14.0
    Trade, transportation, and utilities.....          14.9         204.8       3.3    1,029       8.4
    Information..............................           1.8          79.0       1.0    2,280       5.2
    Financial activities.....................           6.5          63.4      -1.7    1,647       6.9
    Professional and business services.......          14.2         177.6       4.8    1,431       5.8
    Education and health services............           7.2         134.3       3.4      887       3.5
    Leisure and hospitality..................           6.5         105.3       1.3      424      -2.3
    Other services...........................          22.9          51.7       2.7      591       2.1
  Government.................................           0.6         157.4      -0.1    1,107       2.5

Miami-Dade, FL...............................          85.5         967.7       1.9      874       3.4
  Private industry...........................          85.1         824.4       2.8      856       4.6
    Natural resources and mining.............           0.5          10.0       3.6      409      10.5
    Construction.............................           4.9          30.5      -2.5      872       6.0
    Manufacturing............................           2.6          35.1      -1.2      821       1.0
    Trade, transportation, and utilities.....          24.3         243.2       3.2      799       5.1
    Information..............................           1.4          17.5      -1.3    1,424       3.1
    Financial activities.....................           8.9          61.1       1.2    1,593      10.2
    Professional and business services.......          17.8         126.5       3.6    1,024       2.9
    Education and health services............           9.6         152.7       2.6      831       5.6
    Leisure and hospitality..................           6.4         110.2       3.6      481       3.2
    Other services...........................           7.7          36.0       4.1      523       1.0
  Government.................................           0.4         143.3      -2.6      974      -1.6

(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 2010 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.
(6) Data do not meet BLS or State agency disclosure standards.






Table 3. Covered(1) establishments, employment, and wages by state,
first quarter 2011(2)


                                                Employment        Average weekly
                                                                      wage(3)
                          Establishments,
                           first quarter
          State                 2011                    Percent           Percent
                            (thousands)      March      change,   First   change,
                                              2011       March   quarter   first
                                          (thousands)   2010-11    2011   quarter
                                                                          2010-11

United States(4).........       9,074.3     127,851.0       1.3     $935      5.2

Alabama..................         116.3       1,808.5       0.3      766      4.2
Alaska...................          21.2         310.1       2.0      912      3.8
Arizona..................         144.8       2,392.1       0.7      837      4.9
Arkansas.................          85.7       1,133.5       0.3      715      6.1
California...............       1,376.1      14,413.8       1.2    1,066      6.2
Colorado.................         169.0       2,179.8       1.3      952      4.4
Connecticut..............         110.6       1,589.2       1.4    1,282      6.3
Delaware.................          28.3         396.0       2.1    1,026      5.7
District of Columbia.....          34.8         702.3       2.5    1,540      2.4
Florida..................         591.2       7,235.9       1.2      794      3.8

Georgia..................         266.7       3,771.0       1.4      885      5.7
Hawaii...................          38.6         593.8       1.2      790      3.1
Idaho....................          54.2         590.3      -0.1      659      4.1
Illinois.................         382.7       5,472.4       1.2    1,003      6.0
Indiana..................         159.7       2,717.1       1.9      772      4.5
Iowa.....................          93.7       1,419.3       0.6      738      4.5
Kansas...................          87.9       1,293.3       0.6      748      4.0
Kentucky.................         110.8       1,715.6       1.5      737      3.7
Louisiana................         127.4       1,841.3       0.9      798      4.5
Maine....................          49.5         558.6       0.1      723      4.8

Maryland.................         164.9       2,452.1       1.3    1,010      3.6
Massachusetts............         226.4       3,116.5       1.2    1,159      5.8
Michigan.................         244.0       3,757.7       2.2      872      7.1
Minnesota................         167.2       2,530.7       1.4      935      6.0
Mississippi..............          69.1       1,074.8       0.6      650      3.2
Missouri.................         173.9       2,562.3       0.3      786      3.0
Montana..................          42.0         412.2       0.4      656      3.6
Nebraska.................          60.0         886.2       0.7      721      3.9
Nevada...................          71.3       1,102.6       0.4      802      3.0
New Hampshire............          47.5         596.3       1.1      876      5.2

New Jersey...............         265.0       3,701.1       0.0    1,160      3.5
New Mexico...............          54.7         776.5      -0.1      738      3.1
New York.................         596.9       8,336.5       1.2    1,368      6.7
North Carolina...........         252.3       3,809.6       1.6      825      4.3
North Dakota.............          26.6         364.5       5.0      748      9.5
Ohio.....................         286.5       4,870.6       1.4      819      4.6
Oklahoma.................         102.8       1,491.5       1.0      739      5.3
Oregon...................         131.0       1,590.3       1.3      812      4.6
Pennsylvania.............         344.7       5,459.3       1.5      896      4.6
Rhode Island.............          35.0         438.1       0.1      863      3.4

South Carolina...........         110.1       1,767.2       1.4      722      4.5
South Dakota.............          30.9         382.3       1.3      659      4.1
Tennessee................         139.5       2,575.9       1.7      793      3.8
Texas....................         577.2      10,324.3       2.2      946      5.9
Utah.....................          82.7       1,156.9       2.0      753      3.4
Vermont..................          24.2         291.9       0.9      741      3.8
Virginia.................         233.1       3,539.9       1.5      968      4.0
Washington...............         235.3       2,785.3       1.2      947      5.2
West Virginia............          48.5         689.3       1.0      723      4.5
Wisconsin................         156.8       2,609.5       1.6      779      5.3

Wyoming..................          25.0         265.2       1.0      808      4.4

Puerto Rico..............          50.6         923.0      -2.6      500      0.8
Virgin Islands...........           3.5          45.1       0.4      738      1.0

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

Last Modified Date: September 29, 2011