County Employment and Wages News Release

For release 10:00 a.m. (EST), Thursday, December 18, 2014	USDL-14-2250

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 2014

From June 2013 to June 2014, employment increased in 305 of the 339 largest U.S. counties, the U.S. 
Bureau of Labor Statistics reported today. Weld, Colo., had the largest increase, with a gain of 8.9 
percent over the year, compared with national job growth of 2.0 percent. Within Weld, the largest 
employment increase occurred in natural resources and mining, which gained 2,636 jobs over the year 
(27.3 percent). Atlantic, N.J., had the largest over-the-year decrease in employment among the largest 
counties in the U.S. with a loss of 1.6 percent. County employment and wage data are compiled under 
the Quarterly Census of Employment and Wages (QCEW) program, which produces detailed 
information on county employment and wages within 6 months after the end of each quarter.

The U.S. average weekly wage increased 2.1 percent over the year, growing to $940 in the second 
quarter of 2014. Midland, Texas, had the largest over-the-year increase in average weekly wages with a 
gain of 9.0 percent. Within Midland, an average weekly wage gain of $142, or 7.5 percent, in natural 
resources and mining made the largest contribution to the county’s increase in average weekly wages. 
Williamson, Texas, experienced the largest decrease in average weekly wages with a loss of 2.7 percent 
over the year.

Table A.  Large counties ranked by June 2014 employment, June 2013-14 employment 
increase, and June 2013-14 percent increase in employment

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2014 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |            June 2013-14          |            June 2013-14
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           137,776.4| United States             2,674.6| United States                 2.0
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,155.9| Los Angeles, Calif.          71.7| Weld, Colo.                   8.9
 Cook, Ill.                2,499.5| Harris, Texas                71.3| Benton, Ark.                  6.8
 New York, N.Y.            2,492.5| New York, N.Y.               65.8| Lee, Fla.                     6.3
 Harris, Texas             2,258.0| Dallas, Texas                52.0| Sarasota, Fla.                5.8
 Maricopa, Ariz.           1,717.1| Cook, Ill.                   43.9| Midland, Texas                5.5
 Dallas, Texas             1,544.6| King, Wash.                  42.7| Clark, Wash.                  5.3
 Orange, Calif.            1,477.2| Santa Clara, Calif.          37.8| Charleston, S.C.              5.2
 San Diego, Calif.         1,338.5| Maricopa, Ariz.              36.9| Montgomery, Texas             5.1
 King, Wash.               1,248.1| Clark, Nev.                  33.1| Mecklenburg, N.C.             4.9
 Miami-Dade, Fla.          1,026.2| Mecklenburg, N.C.            28.3| Lexington, S.C.               4.9
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Employment

In June 2014, national employment was 137.8 million (as measured by the QCEW program). Over the 
year, employment increased 2.0 percent, or 2.7 million. The 339 U.S. counties with 75,000 or more jobs 
accounted for 71.8 percent of total U.S. employment and 76.9 percent of total wages. These 339 
counties had a net job growth of 2.0 million over the year, accounting for 73.6 percent of the overall 
U.S. employment increase.

Weld, Colo., had the largest percentage increase in employment (8.9 percent) among the largest U.S. 
counties. The five counties with the largest increases in employment level were Los Angeles, Calif.; 
Harris, Texas; New York, N.Y.; Dallas, Texas; and Cook, Ill. These counties had a combined over-the-
year employment gain of 304,700 jobs, which was 11.4 percent of the overall job increase for the U.S. 
(See table A.)

Employment declined in 29 of the largest counties from June 2013 to June 2014. Atlantic, N.J., had the 
largest over-the-year percentage decrease in employment (-1.6 percent). Within Atlantic, leisure and 
hospitality had the largest decrease in employment, with a loss of 2,817 jobs (-5.7 percent). Passaic, 
N.J., had the second largest percentage decrease in employment, followed by McLean, Ill.; Arlington, 
Va.; and Burlington, N.J. (See table 1.)

Table B.  Large counties ranked by second quarter 2014 average weekly wages, second quarter 2013-14
increase in average weekly wages, and second quarter 2013-14 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 2014       |    wage, second quarter 2013-14  |        weekly wage, second
                                  |                                  |          quarter 2013-14
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $940| United States                 $19| United States                 2.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $1,886| San Mateo, Calif.            $107| Midland, Texas                9.0
 San Mateo, Calif.           1,740| Midland, Texas                105| Douglas, Colo.                8.8
 New York, N.Y.              1,732| Douglas, Colo.                 89| Hillsborough, N.H.            7.4
 San Francisco, Calif.       1,593| San Francisco, Calif.          76| Collier, Fla.                 6.8
 Washington, D.C.            1,569| Santa Clara, Calif.            76| San Mateo, Calif.             6.6
 Arlington, Va.              1,516| Hillsborough, N.H.             73| Calcasieu, La.                6.4
 Suffolk, Mass.              1,463| Washington, Ore.               61| Newport News City, Va.        6.2
 Fairfax, Va.                1,457| Collier, Fla.                  54| Weld, Colo.                   5.8
 Fairfield, Conn.            1,455| Newport News City, Va.         54| Washington, Ore.              5.5
 Middlesex, Mass.            1,386| Suffolk, Mass.                 52| Ingham, Mich.                 5.4
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $940, a 2.1 percent increase, during the year ending in 
the second quarter of 2014. Among the 339 largest counties, 312 had over-the-year increases in average 
weekly wages. Midland, Texas, had the largest wage increase among the largest U.S. counties (9.0 
percent).

Of the 339 largest counties, 22 experienced over-the-year decreases in average weekly wages. 
Williamson, Texas, had the largest percentage decrease in average weekly wages, with a loss of 2.7 
percent. Within Williamson, manufacturing had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $168 (-9.5 percent) over the year. 
Westchester, N.Y., had the second largest percentage decrease in average weekly wages, followed by 
Lake, Ind.; Bibb, Ga.; Washington, D.C.; and Chittenden, Vt. (See table 1.) The decline in average 
weekly wages in Washington, D.C., was largely due to a pay period effect in federal government wages. 
For more information see the concepts and methodology section of the Technical Note.

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in June 2014. 
Dallas, Texas, and King, Wash., had the largest gain (3.5 percent). Within Dallas, professional and 
business services had the largest over-the-year employment level increase among all private industry 
groups with a gain of 15,108 jobs, or 5.1 percent. Trade, transportation, and utilities had the largest 
employment level increase among all private industry groups within King, with a gain of 11,204 jobs, or 
5.1 percent. Cook, Ill., Orange, Calif., and Los Angeles, Calif., tied for the smallest percentage increase 
in employment (1.8 percent) among the 10 largest counties. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. Harris, Texas, 
experienced the largest percentage gain in average weekly wages (3.4 percent). Within Harris, natural 
resources and mining had the largest impact on the county’s average weekly wage growth. Within this 
industry, average weekly wages increased by $154, or 5.0 percent, over the year. San Diego, Calif., and 
Maricopa, Ariz., tied for the smallest increase in average weekly wages (1.2 percent) among the 10 
largest counties.

For More Information

The tables included in this release contain data for the nation and for the 339 U.S. counties with annual 
average employment levels of 75,000 or more in 2013. June 2014 employment and 2014 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 9.4 million employer reports cover 137.8 million full- and part-
time workers. The QCEW program provides a quarterly and annual universe count of establishments, 
employment, and wages at the county, MSA, state, and national levels by detailed industry. Data for the 
second quarter of 2014 will be available electronically later at www.bls.gov/cew/. For additional 
information about the quarterly employment and wages data, please read the Technical Note. Additional 
information about the QCEW data may be obtained by calling (202) 691-6567.

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

_____________	
The County Employment and Wages release for third quarter 2014 is scheduled to be released on 
Thursday, March 19, 2015.






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 2014 are preliminary and subject to revision.

For purposes of this release, large counties are defined as having employment levels of 75,000 or greater. In 
addition, data for San Juan, Puerto Rico, are provided, 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 preliminary annual average 
of employment for the previous year. The 340 counties presented in this release were derived using 2013 
preliminary annual averages of employment. For 2014 data, five counties have been added to the publication 
tables: Shelby, Ala.; Osceola, Fla.; Black Hawk, Iowa; Washington, Minn.; and Cleveland, Okla. These counties 
will be included in all 2014 quarterly releases. The counties in table 2 are selected and sorted each year based on 
the annual average employment from the preceding year.

The preliminary QCEW data presented in this release may differ from data released by the individual states. These 
potential differences result from the states' continuing 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 differences and the intended uses of the program products. (See 
table.) Additional information on each program can be obtained from the program Web sites shown in the table.

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

--------------------------------------------------------------------------------- 
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  557,000 establish-
            |  submitted by 9.4   |  ministrative records|  ments
            |  million establish- |  submitted by 7.5    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2014    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -6 months after the|  -8 months after the |  -Usually first Friday
            |   end of each quar- |   end of each quarter|   of following month
            |   ter               |                      |
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation counts (bench- 
            |                     |  losses              |  marking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |  
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal national
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|   
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
 Web sites  |                     |                      |
 --------------------------------------------------------------------------------- 

Coverage

Employment and wage data for workers covered by state UI laws are compiled from quarterly contribution reports 
submitted to the SWAs by employers. For federal civilian workers covered by the Unemployment Compensation 
for Federal Employees (UCFE) program, employment and wage data are compiled from quarterly reports 
submitted 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 9.2 million 
employer reports of employment and wages submitted by states to the BLS in 2013. These reports are based on 
place of employment 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 effective, expanding coverage to include most State 
and local government employees. In 2013, UI and UCFE programs covered workers in 134.0 million jobs. The 
estimated 128.7 million workers in these jobs (after adjustment for multiple jobholders) represented 95.8 percent 
of civilian wage and salary employment. Covered workers received $6.673 trillion in pay, representing 93.7 
percent of the wage and salary component of personal income and 39.8 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. Coverage changes may affect the over-the-year 
comparisons presented in this news release.

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 averages 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 
compensation plans such as 401(k) plans and stock options. Over-the-year comparisons of average weekly wages 
may reflect fluctuations in average monthly employment and/or total quarterly wages between the current quarter 
and prior year levels.

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

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

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

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

QCEW data are not designed as a time series. QCEW data are simply the sums of individual 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 underlying 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 2013 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 unadjusted 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 release.

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 establishments. The most common adjustments for administrative change are the result of 
updated information about the county location of individual establishments. Included 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. Beginning with the second quarter of 2011, adjusted data account for 
selected large administrative changes in employment and wages. These new adjustments allow QCEW to include 
county employment and wage growth rates in this news release that would otherwise not meet publication 
standards.

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

County definitions are assigned according to Federal Information Processing Standards 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 2013 edition of this publication, which 
was published in September 2014, contains selected data produced by Business Employment Dynamics (BED) on 
job gains and losses, as well as selected data from the first quarter 2014 version of this news release. Tables and 
additional content from Employment and Wages Annual Averages 2013 are now available online at 
http://www.bls.gov/cew/cewbultn13.htm. The 2014 edition of Employment and Wages Annual Averages Online 
will be available in September 2015.

News releases on quarterly measures of gross job flows also are available upon request 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 establishments, employment, and wages in the 340 largest counties,
second quarter 2014

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2014          June      change,      by    Second    change,      by
                            (thousands)       2014       June     percent  quarter   second    percent
                                          (thousands) 2013-14(3)   change    2014    quarter    change
                                                                                   2013-14(3)
                                                                                                     
United States(4).........       9,360.5     137,776.4       2.0        -      $940       2.1       - 
                                                                                                     
Jefferson, AL............          17.7         340.7       0.2       297      931       1.6      195
Madison, AL..............           9.0         182.7      -0.3       321    1,047       1.7      177
Mobile, AL...............           9.6         166.8       1.0       244      809       0.7      276
Montgomery, AL...........           6.3         129.7      -0.2       317      798       1.8      167
Shelby, AL...............           5.1          78.9       1.8       152      878       2.0      143
Tuscaloosa, AL...........           4.3          88.0       2.8        78      800       0.4      295
Anchorage Borough, AK....           8.3         155.1      -0.1       311    1,056       4.9       14
Maricopa, AZ.............          92.9       1,717.1       2.2       124      931       1.2      239
Pima, AZ.................          18.7         347.0       0.5       281      815       0.5      285
Benton, AR...............           5.7         105.8       6.8         2      894      -0.8      331
                                                                                                     
Pulaski, AR..............          14.3         242.7       0.5       281      856       1.2      239
Washington, AR...........           5.7          97.0       2.3       115      758       0.8      269
Alameda, CA..............          56.8         701.9       2.8        78    1,190       1.4      219
Contra Costa, CA.........          29.6         343.2       2.9        73    1,139       1.7      177
Fresno, CA...............          30.7         364.5       1.4       194      719       1.7      177
Kern, CA.................          17.1         311.8       0.5       281      820       1.9      156
Los Angeles, CA..........         438.6       4,155.9       1.8       152    1,024       2.9       67
Marin, CA................          12.0         112.0       2.3       115    1,171       3.3       41
Monterey, CA.............          12.8         197.0       1.7       167      790       1.7      177
Orange, CA...............         107.2       1,477.2       1.8       152    1,033       1.5      205
                                                                                                     
Placer, CA...............          11.3         143.2       3.3        57      918       2.2      123
Riverside, CA............          52.7         626.9       4.0        34      763       0.3      306
Sacramento, CA...........          52.1         617.8       3.3        57    1,027       1.1      249
San Bernardino, CA.......          50.6         651.4       3.8        42      802       1.5      205
San Diego, CA............          99.9       1,338.5       2.1       129    1,044       1.2      239
San Francisco, CA........          57.0         638.5       4.3        25    1,593       5.0       13
San Joaquin, CA..........          16.6         219.5       1.9       141      770       1.6      195
San Luis Obispo, CA......           9.7         112.5       3.4        54      770       1.7      177
San Mateo, CA............          25.8         372.6       4.7        13    1,740       6.6        5
Santa Barbara, CA........          14.5         195.1       2.4       108      888       0.6      281
                                                                                                     
Santa Clara, CA..........          65.5         978.4       4.0        34    1,886       4.2       20
Santa Cruz, CA...........           9.1         103.6       2.5       102      830       3.4       36
Solano, CA...............          10.2         128.3       1.8       152      966       3.3       41
Sonoma, CA...............          18.8         193.2       4.5        17      854       1.4      219
Stanislaus, CA...........          14.2         175.2       2.6        98      767       1.5      205
Tulare, CA...............           9.1         153.8      -0.2       317      652       2.5      100
Ventura, CA..............          24.8         316.1       1.7       167      950       0.2      308
Yolo, CA.................           6.0          96.3       3.8        42      962       2.1      135
Adams, CO................           9.2         184.9       4.8        11      916       3.4       36
Arapahoe, CO.............          19.3         307.7       2.7        87    1,074       1.1      249
                                                                                                     
Boulder, CO..............          13.3         169.9       2.9        73    1,103       2.6       86
Denver, CO...............          27.2         459.8       4.2        30    1,126       2.9       67
Douglas, CO..............          10.1         109.3       3.7        45    1,100       8.8        2
El Paso, CO..............          16.9         251.4       2.3       115      849       1.9      156
Jefferson, CO............          17.9         224.7       2.5       102      957       2.4      104
Larimer, CO..............          10.4         144.5       3.3        57      828       5.2       11
Weld, CO.................           6.1          98.6       8.9         1      840       5.8        8
Fairfield, CT............          33.8         425.6       1.1       235    1,455       1.5      205
Hartford, CT.............          26.3         506.6       0.6       273    1,159       3.6       32
New Haven, CT............          23.0         362.6       0.3       295      986       1.8      167
                                                                                                     
New London, CT...........           7.0         123.8      -0.4       324      960       2.2      123
New Castle, DE...........          18.0         277.8       2.5       102    1,098       0.7      276
Washington, DC...........          35.9         732.6       1.8       152    1,569      -1.1      334
Alachua, FL..............           6.7         118.6       1.7       167      816       2.1      135
Brevard, FL..............          14.8         189.7       1.6       177      834      -0.4      327
Broward, FL..............          65.7         733.1       3.1        64      873       1.2      239
Collier, FL..............          12.6         120.4       4.3        25      853       6.8        4
Duval, FL................          27.5         454.2       1.7       167      896       1.9      156
Escambia, FL.............           8.1         123.2       2.0       135      742       1.2      239
Hillsborough, FL.........          39.4         609.4       2.8        78      899       1.9      156
                                                                                                     
Lake, FL.................           7.6          81.8       2.7        87      645       2.1      135
Lee, FL..................          19.8         217.4       6.3         3      750       1.4      219
Leon, FL.................           8.3         139.5       2.7        87      782       1.8      167
Manatee, FL..............           9.9         105.6       2.2       124      736       2.4      104
Marion, FL...............           8.0          93.0       2.0       135      677       1.7      177
Miami-Dade, FL...........          93.4       1,026.2       2.5       102      913       3.3       41
Okaloosa, FL.............           6.2          78.3       0.2       297      776       1.3      226
Orange, FL...............          38.3         725.7       3.4        54      828       2.6       86
Osceola, FL..............           6.0          78.8       4.3        25      665       2.9       67
Palm Beach, FL...........          52.0         537.2       3.6        50      910       1.9      156
                                                                                                     
Pasco, FL................          10.2          98.3       3.7        45      701       2.6       86
Pinellas, FL.............          31.4         396.7       1.6       177      844       3.7       29
Polk, FL.................          12.6         191.5       2.3       115      723       1.5      205
Sarasota, FL.............          14.9         148.9       5.8         4      787       1.5      205
Seminole, FL.............          14.1         166.2       3.9        39      793       1.1      249
Volusia, FL..............          13.6         151.5       1.9       141      694       3.0       58
Bibb, GA.................           4.6          81.8       2.3       115      733      -1.3      336
Chatham, GA..............           8.2         141.2       3.2        62      798       3.9       24
Clayton, GA..............           4.3         114.0       3.8        42      895       2.6       86
Cobb, GA.................          22.5         325.8       4.3        25      994       1.0      257
                                                                                                     
De Kalb, GA..............          18.7         282.4       2.7        87      968       0.9      264
Fulton, GA...............          44.1         763.2       3.0        70    1,222       1.4      219
Gwinnett, GA.............          25.1         326.7       4.4        22      912       1.0      257
Muscogee, GA.............           4.8          94.9       0.5       281      742       1.6      195
Richmond, GA.............           4.7         101.5       1.3       214      799       2.8       79
Honolulu, HI.............          24.9         456.6       0.9       250      877       2.6       86
Ada, ID..................          13.9         211.8       2.4       108      818       3.2       49
Champaign, IL............           4.5          89.3       1.4       194      817       2.9       67
Cook, IL.................         156.6       2,499.5       1.8       152    1,085       1.7      177
Du Page, IL..............          38.8         608.8       1.0       244    1,074       1.5      205
                                                                                                     
Kane, IL.................          14.0         207.4       1.4       194      809       1.4      219
Lake, IL.................          23.1         340.2       0.6       273    1,226       1.7      177
McHenry, IL..............           9.0          97.3       1.6       177      769       0.5      285
McLean, IL...............           3.9          84.3      -1.4       336      947      -1.0      333
Madison, IL..............           6.2          97.2       1.8       152      760       1.5      205
Peoria, IL...............           4.8         101.6      -0.6       328      890       1.9      156
St. Clair, IL............           5.7          91.6      -0.8       331      745       0.8      269
Sangamon, IL.............           5.4         130.2       2.2       124      959       1.7      177
Will, IL.................          16.2         217.9       1.2       222      835       2.3      115
Winnebago, IL............           6.9         128.2       1.5       185      797       0.9      264
                                                                                                     
Allen, IN................           8.8         179.5       2.2       124      748       0.4      295
Elkhart, IN..............           4.7         122.9       4.2        30      797       4.0       22
Hamilton, IN.............           8.8         127.9       4.5        17      875       1.5      205
Lake, IN.................          10.2         188.5      -0.8       331      834      -1.4      337
Marion, IN...............          23.6         578.3       1.1       235      927       0.5      285
St. Joseph, IN...........           5.8         118.4       3.3        57      759       0.9      264
Tippecanoe, IN...........           3.3          80.0       1.4       194      798       1.7      177
Vanderburgh, IN..........           4.8         105.8       1.4       194      757       0.4      295
Black Hawk, IA...........           3.8          76.1       0.3       295      780       2.8       79
Johnson, IA..............           4.0          80.9       1.1       235      874       3.3       41
                                                                                                     
Linn, IA.................           6.5         130.4       1.2       222      894       1.6      195
Polk, IA.................          16.3         290.3       3.0        70      920       2.4      104
Scott, IA................           5.5          91.5       1.2       222      766       2.0      143
Johnson, KS..............          21.4         331.4       2.8        78      976       3.0       58
Sedgwick, KS.............          12.3         245.5       1.2       222      836      -0.8      331
Shawnee, KS..............           4.8          97.3       2.5       102      791       0.6      281
Wyandotte, KS............           3.3          88.0       4.4        22      872       4.3       19
Boone, KY................           4.1          79.3       2.4       108      846       1.8      167
Fayette, KY..............          10.3         184.7       2.4       108      835       1.8      167
Jefferson, KY............          24.3         442.5       2.4       108      926       2.7       84
                                                                                                     
Caddo, LA................           7.4         114.9      -0.2       317      774       3.2       49
Calcasieu, LA............           5.0          87.7       1.7       167      827       6.4        6
East Baton Rouge, LA.....          14.9         264.1       1.4       194      895       1.2      239
Jefferson, LA............          13.7         194.8       1.4       194      837       1.7      177
Lafayette, LA............           9.3         140.5      -0.1       311      930       2.9       67
Orleans, LA..............          11.7         186.7       4.6        16      912       0.3      306
St. Tammany, LA..........           7.7          82.8       2.7        87      789       2.3      115
Cumberland, ME...........          12.6         177.8       1.4       194      843       2.1      135
Anne Arundel, MD.........          14.6         257.0       0.9       250      996       0.5      285
Baltimore, MD............          21.2         368.3       0.5       281      941       2.1      135
                                                                                                     
Frederick, MD............           6.3          96.4      -0.4       324      899       1.5      205
Harford, MD..............           5.6          89.1      -0.7       330      939       0.5      285
Howard, MD...............           9.5         164.0       0.1       302    1,118       0.4      295
Montgomery, MD...........          32.9         462.7       1.2       222    1,244       0.0      313
Prince Georges, MD.......          15.6         308.0       1.2       222      998       1.5      205
Baltimore City, MD.......          13.8         333.5       0.8       261    1,068       1.6      195
Barnstable, MA...........           9.0         103.5       0.9       250      789       2.9       67
Bristol, MA..............          16.3         222.3       1.1       235      856       2.0      143
Essex, MA................          22.5         320.0       1.8       152    1,007       2.9       67
Hampden, MA..............          16.3         202.5       0.6       273      856       2.8       79
                                                                                                     
Middlesex, MA............          50.7         861.8       1.5       185    1,386       1.1      249
Norfolk, MA..............          23.7         343.0       1.7       167    1,077       0.7      276
Plymouth, MA.............          14.2         185.9       0.6       273      911       2.6       86
Suffolk, MA..............          25.0         619.5       1.5       185    1,463       3.7       29
Worcester, MA............          22.2         332.1       1.0       244      946       2.4      104
Genesee, MI..............           7.1         134.7       1.3       214      768       2.3      115
Ingham, MI...............           6.1         150.4       0.2       297      901       5.4       10
Kalamazoo, MI............           5.1         114.2       1.5       185      849       1.8      167
Kent, MI.................          13.9         362.4       3.7        45      823       2.0      143
Macomb, MI...............          17.2         311.3       1.3       214      947       1.7      177
                                                                                                     
Oakland, MI..............          38.1         701.9       1.4       194    1,048       2.8       79
Ottawa, MI...............           5.5         117.1       4.0        34      787       2.6       86
Saginaw, MI..............           4.1          84.0       0.1       302      748       2.2      123
Washtenaw, MI............           8.1         195.8       1.2       222      997       2.4      104
Wayne, MI................          30.5         699.2       0.9       250    1,031       3.3       41
Anoka, MN................           6.8         118.0       0.9       250      905       3.0       58
Dakota, MN...............           9.5         181.9       1.3       214      924       2.9       67
Hennepin, MN.............          40.2         879.2       1.7       167    1,151       1.0      257
Olmsted, MN..............           3.3          93.4      -0.6       328    1,065       1.2      239
Ramsey, MN...............          13.1         325.6       0.9       250    1,067       3.8       27
                                                                                                     
St. Louis, MN............           5.2          98.3       0.9       250      757       0.9      264
Stearns, MN..............           4.2          84.3       2.1       129      775       3.5       35
Washington, MN...........           5.2          78.4       0.7       267      784       2.0      143
Harrison, MS.............           4.4          84.0       0.8       261      685       1.2      239
Hinds, MS................           5.9         118.9      -0.9       333      826       1.7      177
Boone, MO................           4.7          90.0       1.2       222      733       1.8      167
Clay, MO.................           5.2          94.4       3.0        70      837       0.6      281
Greene, MO...............           8.2         158.9       2.3       115      715       0.8      269
Jackson, MO..............          19.7         354.3       0.7       267      925       0.5      285
St. Charles, MO..........           8.6         135.5       2.1       129      781       3.3       41
                                                                                                     
St. Louis, MO............          33.7         587.4       1.4       194      992       2.2      123
St. Louis City, MO.......          10.8         222.7       1.0       244      992       2.1      135
Yellowstone, MT..........           6.3          79.8       1.6       177      802      -0.2      323
Douglas, NE..............          18.6         327.9       1.8       152      853       2.9       67
Lancaster, NE............          10.1         163.4       1.8       152      758       2.0      143
Clark, NV................          51.4         877.4       3.9        39      825       0.5      285
Washoe, NV...............          13.9         195.5       2.9        73      827       1.3      226
Hillsborough, NH.........          12.1         193.9       0.8       261    1,059       7.4        3
Rockingham, NH...........          10.6         144.3       1.9       141      944       4.0       22
Atlantic, NJ.............           6.6         137.0      -1.6       339      794       1.0      257
                                                                                                     
Bergen, NJ...............          32.8         445.7       1.4       194    1,147       2.0      143
Burlington, NJ...........          11.0         201.2      -1.1       335      988       0.5      285
Camden, NJ...............          11.9         200.7       1.6       177      909       0.4      295
Essex, NJ................          20.4         334.7      -0.3       321    1,124      -0.2      323
Gloucester, NJ...........           6.1         100.8       1.1       235      828       2.3      115
Hudson, NJ...............          14.2         237.9       0.4       289    1,276       2.1      135
Mercer, NJ...............          11.0         236.0       0.2       297    1,186       0.4      295
Middlesex, NJ............          21.9         395.8       1.1       235    1,115       1.5      205
Monmouth, NJ.............          20.0         257.4       1.4       194      943       1.3      226
Morris, NJ...............          17.0         285.2       0.6       273    1,343       1.2      239
                                                                                                     
Ocean, NJ................          12.6         166.9       3.2        62      759      -0.1      318
Passaic, NJ..............          12.2         167.5      -1.5       338      943       1.8      167
Somerset, NJ.............          10.0         183.5       1.4       194    1,379       0.4      295
Union, NJ................          14.3         223.0      -0.4       324    1,209      -0.4      327
Bernalillo, NM...........          18.0         313.7       0.7       267      816       2.0      143
Albany, NY...............          10.3         227.3       0.4       289      985       3.1       54
Bronx, NY................          17.6         251.6       1.4       194      889       0.2      308
Broome, NY...............           4.6          89.2       0.1       302      756       1.1      249
Dutchess, NY.............           8.4         110.6       0.0       306      969       0.7      276
Erie, NY.................          24.5         462.7       0.7       267      826       2.2      123
                                                                                                     
Kings, NY................          56.9         566.7       4.7        13      759       1.5      205
Monroe, NY...............          18.5         381.2       0.4       289      889       2.2      123
Nassau, NY...............          53.3         618.4       1.5       185    1,061       1.6      195
New York, NY.............         126.6       2,492.5       2.7        87    1,732       3.0       58
Oneida, NY...............           5.3         104.0      -0.1       311      760       2.2      123
Onondaga, NY.............          13.0         243.7      -0.1       311      866       1.3      226
Orange, NY...............          10.1         138.9       1.2       222      825      -0.2      323
Queens, NY...............          49.6         553.6       3.1        64      884       3.2       49
Richmond, NY.............           9.4          99.1       2.9        73      797       0.9      264
Rockland, NY.............          10.2         118.3       2.8        78    1,003       1.7      177
                                                                                                     
Saratoga, NY.............           5.8          83.2      -0.2       317      868       1.3      226
Suffolk, NY..............          51.9         656.2       0.4       289    1,014       1.7      177
Westchester, NY..........          36.3         421.1       1.2       222    1,215      -1.6      338
Buncombe, NC.............           8.2         119.0       2.2       124      702       1.7      177
Catawba, NC..............           4.2          81.7       1.1       235      713       2.9       67
Cumberland, NC...........           6.2         118.2      -0.9       333      746      -0.4      327
Durham, NC...............           7.6         189.4       1.9       141    1,208       0.5      285
Forsyth, NC..............           9.0         178.3       2.1       129      837       0.0      313
Guilford, NC.............          14.1         267.3       0.9       250      809      -0.2      323
Mecklenburg, NC..........          33.6         606.6       4.9         9    1,040       1.3      226
                                                                                                     
New Hanover, NC..........           7.4         102.9       3.4        54      752       1.8      167
Wake, NC.................          30.4         494.8       4.2        30      933       0.4      295
Cass, ND.................           6.6         115.2       4.5        17      832       2.8       79
Butler, OH...............           7.5         143.0       2.3       115      819       1.9      156
Cuyahoga, OH.............          35.4         715.5       0.0       306      954       2.4      104
Delaware, OH.............           4.6          83.7       0.0       306      915       0.8      269
Franklin, OH.............          30.0         705.5       2.7        87      945       1.3      226
Hamilton, OH.............          23.1         504.5       1.5       185    1,011       1.3      226
Lake, OH.................           6.3          96.4       0.6       273      781       3.9       24
Lorain, OH...............           6.0          98.0       0.6       273      775       1.7      177
                                                                                                     
Lucas, OH................          10.0         206.1       1.3       214      819       2.6       86
Mahoning, OH.............           5.9          98.5       1.0       244      664       2.2      123
Montgomery, OH...........          11.9         247.5       1.4       194      816       1.9      156
Stark, OH................           8.7         160.2       1.6       177      713       1.1      249
Summit, OH...............          14.0         262.0       1.4       194      828       1.3      226
Warren, OH...............           4.4          86.4       1.3       214      816       1.7      177
Cleveland, OK............           5.2          78.4       2.1       129      716       1.8      167
Oklahoma, OK.............          26.2         442.4       1.0       244      891       1.9      156
Tulsa, OK................          21.3         342.9       1.6       177      894       3.6       32
Clackamas, OR............          13.2         148.0       1.3       214      884       2.6       86
                                                                                                     
Jackson, OR..............           6.7          80.4       2.0       135      707      -0.1      318
Lane, OR.................          11.1         143.1       1.5       185      742       1.0      257
Marion, OR...............           9.6         143.0       3.1        64      764       2.3      115
Multnomah, OR............          30.9         467.3       3.1        64      965       2.4      104
Washington, OR...........          17.1         265.3       2.3       115    1,165       5.5        9
Allegheny, PA............          35.3         695.1       0.0       306    1,002       0.1      311
Berks, PA................           8.9         167.8       2.0       135      872       3.0       58
Bucks, PA................          19.7         257.1       1.2       222      903       1.2      239
Butler, PA...............           5.0          85.8       0.0       306      866      -0.1      318
Chester, PA..............          15.2         244.4       1.8       152    1,231       1.6      195
                                                                                                     
Cumberland, PA...........           6.2         128.3       1.2       222      910       3.8       27
Dauphin, PA..............           7.3         178.8       0.5       281      920       1.3      226
Delaware, PA.............          13.9         219.0       1.7       167      989       1.6      195
Erie, PA.................           7.2         126.4       0.7       267      731      -0.1      318
Lackawanna, PA...........           5.9          97.9       0.7       267      715       2.6       86
Lancaster, PA............          12.9         229.1       1.9       141      777       2.6       86
Lehigh, PA...............           8.6         183.9       1.7       167      943       3.1       54
Luzerne, PA..............           7.6         141.7       0.6       273      744       2.9       67
Montgomery, PA...........          27.4         478.9       0.8       261    1,163       1.4      219
Northampton, PA..........           6.6         107.1       1.9       141      818       2.0      143
                                                                                                     
Philadelphia, PA.........          35.1         638.2       0.8       261    1,105       0.4      295
Washington, PA...........           5.3          88.7       1.3       214      934       4.5       17
Westmoreland, PA.........           9.3         134.8       0.2       297      763       3.2       49
York, PA.................           9.0         174.6       1.1       235      811       1.1      249
Providence, RI...........          17.4         279.2       1.7       167      928       2.2      123
Charleston, SC...........          12.4         232.3       5.2         7      822       3.4       36
Greenville, SC...........          12.6         250.5       4.5        17      820       2.2      123
Horry, SC................           7.9         124.9       3.1        64      548       2.0      143
Lexington, SC............           5.8         107.7       4.9         9      720       0.8      269
Richland, SC.............           9.1         208.8       2.8        78      823       2.6       86
                                                                                                     
Spartanburg, SC..........           5.8         123.4       2.6        98      835       3.0       58
York, SC.................           4.9          82.8       4.5        17      769       4.5       17
Minnehaha, SD............           6.8         122.9       2.4       108      796       3.2       49
Davidson, TN.............          19.5         452.7       2.3       115      951       2.6       86
Hamilton, TN.............           8.8         187.1       0.9       250      844       2.4      104
Knox, TN.................          11.2         222.6       1.9       141      823       3.3       41
Rutherford, TN...........           4.7         111.5       4.2        30      840       3.6       32
Shelby, TN...............          19.5         477.2       0.4       289      949       0.4      295
Williamson, TN...........           7.0         107.9       4.0        34    1,057       0.0      313
Bell, TX.................           4.9         111.9       1.4       194      774       2.5      100
                                                                                                     
Bexar, TX................          36.7         794.7       2.6        98      834       2.7       84
Brazoria, TX.............           5.2          98.7       2.7        87      959       4.7       15
Brazos, TX...............           4.2          92.3       3.7        45      722       3.1       54
Cameron, TX..............           6.3         134.9       1.9       141      585       2.1      135
Collin, TX...............          21.0         347.4       4.4        22    1,101       2.0      143
Dallas, TX...............          70.8       1,544.6       3.5        52    1,122       1.5      205
Denton, TX...............          12.4         206.5       4.7        13      846       2.3      115
El Paso, TX..............          14.3         285.1       1.2       222      673       2.3      115
Fort Bend, TX............          11.0         163.6       4.8        11      945       1.0      257
Galveston, TX............           5.7         103.3       2.6        98      832       2.6       86
                                                                                                     
Gregg, TX................           4.2          78.5       1.5       185      863       2.9       67
Harris, TX...............         107.8       2,258.0       3.3        57    1,231       3.4       36
Hidalgo, TX..............          11.8         240.2       2.5       102      608       3.1       54
Jefferson, TX............           5.8         124.0       2.4       108      965       3.7       29
Lubbock, TX..............           7.2         130.8       1.8       152      726       3.3       41
McLennan, TX.............           5.0         103.6       0.4       289      769       2.4      104
Midland, TX..............           5.3          91.1       5.5         5    1,269       9.0        1
Montgomery, TX...........           9.9         157.4       5.1         8      958       4.6       16
Nueces, TX...............           8.1         163.5       2.8        78      843       3.9       24
Potter, TX...............           4.0          78.2       1.1       235      741       0.8      269
                                                                                                     
Smith, TX................           5.9          97.6       1.5       185      791       2.5      100
Tarrant, TX..............          39.7         827.5       2.0       135      952       5.1       12
Travis, TX...............          34.9         657.8       3.9        39    1,051       3.4       36
Webb, TX.................           5.0          94.4       2.7        87      647       0.0      313
Williamson, TX...........           8.8         146.5       3.6        50      876      -2.7      339
Davis, UT................           7.7         114.9       2.8        78      742       0.5      285
Salt Lake, UT............          40.2         625.2       2.7        87      887       1.4      219
Utah, UT.................          13.7         195.1       4.0        34      755       3.0       58
Weber, UT................           5.6          95.7       2.0       135      720       3.0       58
Chittenden, VT...........           6.3         100.7       1.4       194      933      -1.1      334
                                                                                                     
Arlington, VA............           8.8         165.4      -1.4       336    1,516      -0.6      330
Chesterfield, VA.........           8.1         125.7       1.9       141      823       0.2      308
Fairfax, VA..............          35.1         588.4      -0.3       321    1,457       0.7      276
Henrico, VA..............          10.4         181.0       1.8       152      904       0.0      313
Loudoun, VA..............          10.6         151.9       1.9       141    1,090       0.4      295
Prince William, VA.......           8.3         122.4       1.8       152      822       0.1      311
Alexandria City, VA......           6.3          95.8       0.1       302    1,321      -0.1      318
Chesapeake City, VA......           5.7          96.4      -0.1       311      751       1.3      226
Newport News City, VA....           3.7          98.9       0.9       250      928       6.2        7
Norfolk City, VA.........           5.6         139.8       3.1        64      904       2.3      115
                                                                                                     
Richmond City, VA........           7.1         148.6       0.8       261    1,010       2.5      100
Virginia Beach City, VA..          11.3         177.0       1.4       194      732       0.8      269
Benton, WA...............           5.7          86.8       4.3        25      939       0.6      281
Clark, WA................          13.9         141.9       5.3         6      858       2.0      143
King, WA.................          84.1       1,248.1       3.5        52    1,235       2.4      104
Kitsap, WA...............           6.7          83.4       2.8        78      843       1.9      156
Pierce, WA...............          21.7         279.7       2.9        73      858       1.1      249
Snohomish, WA............          20.1         270.5       2.1       129    1,012       1.9      156
Spokane, WA..............          15.6         207.9       1.8       152      796       2.2      123
Thurston, WA.............           7.8         104.0       3.7        45      846       1.3      226
                                                                                                     
Whatcom, WA..............           7.1          85.6       2.7        87      768       1.6      195
Yakima, WA...............           8.1         116.3       1.9       141      638       1.6      195
Kanawha, WV..............           6.0         104.9      -0.1       311      830       1.3      226
Brown, WI................           6.4         152.1       0.9       250      813       1.0      257
Dane, WI.................          14.1         317.4       1.4       194      952       3.0       58
Milwaukee, WI............          24.7         479.2       0.5       281      909       2.2      123
Outagamie, WI............           5.0         105.9       1.6       177      779       2.4      104
Waukesha, WI.............          12.3         235.4       0.5       281      925       2.0      143
Winnebago, WI............           3.6          90.5      -0.5       327      875       4.2       20
San Juan, PR.............          11.3         252.6      -1.3       (5)      599       0.2      (5)
 
(1) Includes areas not officially designated as counties. See Technical Note.
(2) Average weekly wages were calculated using unrounded data.
(3) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(5) This county was not included in the U.S. rankings.
  
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs. These 339 U.S. counties comprise 71.8 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
second quarter 2014

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter 
         County by NAICS supersector                2014                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2014       June     quarter  second
                                                              (thousands) 2013-14(2)   2014    quarter
                                                                                             2013-14(2)


United States(3) ............................       9,360.5     137,776.4       2.0     $940       2.1
  Private industry...........................       9,065.9     116,600.4       2.3      930       2.3
    Natural resources and mining.............         135.8       2,180.7       1.5    1,072       4.8
    Construction.............................         753.6       6,268.9       4.7    1,012       2.7
    Manufacturing............................         338.3      12,225.7       1.2    1,158       2.8
    Trade, transportation, and utilities.....       1,912.4      26,104.1       2.1      799       2.4
    Information..............................         150.3       2,740.5       0.4    1,603       5.0
    Financial activities.....................         832.4       7,713.2       0.8    1,394       2.5
    Professional and business services.......       1,672.4      19,151.8       3.0    1,203       1.5
    Education and health services............       1,472.7      20,457.9       1.6      859       1.9
    Leisure and hospitality..................         794.5      15,222.3       2.7      389       2.6
    Other services...........................         811.6       4,309.6       2.1      637       2.4
  Government.................................         294.6      21,175.9       0.4      995       1.5

Los Angeles, CA..............................         438.6       4,155.9       1.8    1,024       2.9
  Private industry...........................         432.8       3,614.8       1.9      992       3.0
    Natural resources and mining.............           0.5          10.0      -2.0    1,404      -3.2
    Construction.............................          13.4         119.5       1.9    1,060       0.2
    Manufacturing............................          12.6         364.0      -1.0    1,110       2.4
    Trade, transportation, and utilities.....          53.6         781.7       2.2      858       2.6
    Information..............................           9.6         188.0      -3.5    1,871      10.7
    Financial activities.....................          24.3         207.9      -0.7    1,595       7.3
    Professional and business services.......          47.5         601.6       2.0    1,244       2.7
    Education and health services............         201.4         711.5       1.6      798       2.3
    Leisure and hospitality..................          30.6         467.4       4.3      556       1.6
    Other services...........................          27.8         147.3       3.4      645       1.7
  Government.................................           5.8         541.1       0.9    1,240       3.1

New York, NY.................................         126.6       2,492.5       2.7    1,732       3.0
  Private industry...........................         126.2       2,059.6       3.1    1,859       2.9
    Natural resources and mining.............           0.0           0.2      -1.9    2,118     -13.7
    Construction.............................           2.2          34.5       2.6    1,691       2.2
    Manufacturing............................           2.2          25.4      -1.2    1,236       3.1
    Trade, transportation, and utilities.....          20.7         260.0       1.0    1,311       2.5
    Information..............................           4.7         148.3       0.5    2,434       9.1
    Financial activities.....................          19.2         363.3       3.0    3,418       2.8
    Professional and business services.......          26.5         523.8       3.3    2,082       2.4
    Education and health services............           9.6         318.2       3.2    1,185       1.8
    Leisure and hospitality..................          13.5         280.6       5.1      793       4.2
    Other services...........................          19.7          98.4       2.7    1,074       1.4
  Government.................................           0.4         432.9       1.0    1,136       3.2

Cook, IL.....................................         156.6       2,499.5       1.8    1,085       1.7
  Private industry...........................         155.2       2,200.1       2.1    1,068       2.0
    Natural resources and mining.............           0.1           0.9       7.3    1,087       7.2
    Construction.............................          12.9          70.1       5.8    1,312       1.6
    Manufacturing............................           6.7         187.0       0.0    1,121       4.1
    Trade, transportation, and utilities.....          31.0         455.3       2.1      875       2.7
    Information..............................           2.8          55.0       0.3    1,649       3.5
    Financial activities.....................          16.0         186.3       0.3    1,876       2.9
    Professional and business services.......          33.4         455.4       3.1    1,368       2.2
    Education and health services............          16.4         422.0       1.7      893       0.4
    Leisure and hospitality..................          14.1         264.6       2.5      475      -0.6
    Other services...........................          17.6          99.4       3.7      808       1.3
  Government.................................           1.3         299.4      -0.7    1,207      -0.3

Harris, TX...................................         107.8       2,258.0       3.3    1,231       3.4
  Private industry...........................         107.3       1,997.0       3.3    1,258       3.5
    Natural resources and mining.............           1.8          93.3       5.4    3,224       5.0
    Construction.............................           6.8         154.5       6.0    1,272       5.6
    Manufacturing............................           4.6         196.2       2.9    1,508       5.9
    Trade, transportation, and utilities.....          24.3         465.2       3.2    1,101       4.2
    Information..............................           1.2          28.5      -1.4    1,396       2.3
    Financial activities.....................          11.1         118.3       2.0    1,503       5.2
    Professional and business services.......          21.7         394.4       2.3    1,528       0.7
    Education and health services............          14.8         266.9       2.4      928       1.1
    Leisure and hospitality..................           9.1         214.8       5.8      419       4.8
    Other services...........................          11.6          64.2       2.9      746       5.5
  Government.................................           0.6         261.1       2.6    1,025       1.8

Maricopa, AZ.................................          92.9       1,717.1       2.2      931       1.2
  Private industry...........................          92.2       1,538.7       2.3      915       1.2
    Natural resources and mining.............           0.5           8.4       3.3      816      -4.4
    Construction.............................           7.3          93.5       0.4      944       0.0
    Manufacturing............................           3.2         114.4       0.6    1,364       2.9
    Trade, transportation, and utilities.....          20.0         345.8       2.5      836       1.0
    Information..............................           1.5          33.8       6.6    1,232       6.8
    Financial activities.....................          10.9         152.0       2.6    1,152      -1.1
    Professional and business services.......          21.7         294.1       0.7    1,003       2.6
    Education and health services............          10.7         254.8       2.3      948       0.7
    Leisure and hospitality..................           7.3         190.6       3.6      437       3.6
    Other services...........................           6.3          47.6       1.8      654      -0.6
  Government.................................           0.7         178.5       1.4    1,053       1.4

Dallas, TX...................................          70.8       1,544.6       3.5    1,122       1.5
  Private industry...........................          70.3       1,379.7       3.7    1,131       1.7
    Natural resources and mining.............           0.6           9.9       2.8    3,831      -8.4
    Construction.............................           4.0          77.2       8.2    1,070       4.5
    Manufacturing............................           2.7         107.5      -1.3    1,331       1.3
    Trade, transportation, and utilities.....          15.4         309.7       4.6    1,008       0.8
    Information..............................           1.4          49.5       3.1    1,697      -4.1
    Financial activities.....................           8.5         149.9       1.7    1,532       3.7
    Professional and business services.......          15.9         308.7       5.1    1,293       4.3
    Education and health services............           8.7         178.6       2.5      979       1.2
    Leisure and hospitality..................           6.1         147.3       4.3      451       1.3
    Other services...........................           6.8          41.0       2.6      723       1.3
  Government.................................           0.5         164.9       1.8    1,048       0.1

Orange, CA...................................         107.2       1,477.2       1.8    1,033       1.5
  Private industry...........................         105.9       1,330.8       1.8    1,021       1.6
    Natural resources and mining.............           0.2           3.4       0.7      804      16.4
    Construction.............................           6.5          80.9       3.3    1,144       2.2
    Manufacturing............................           4.9         157.6      -0.4    1,275       2.0
    Trade, transportation, and utilities.....          16.7         253.4       1.8      949       2.0
    Information..............................           1.3          23.7      -4.3    1,574       8.6
    Financial activities.....................          10.6         113.9       0.7    1,518      -2.3
    Professional and business services.......          20.7         271.8       1.4    1,221       4.2
    Education and health services............          26.7         183.5       2.1      889       0.7
    Leisure and hospitality..................           7.9         194.8       3.0      438       0.7
    Other services...........................           6.8          43.0       2.1      647       2.4
  Government.................................           1.3         146.4       1.2    1,141       0.5

San Diego, CA................................          99.9       1,338.5       2.1    1,044       1.2
  Private industry...........................          98.5       1,117.3       2.4    1,025       1.0
    Natural resources and mining.............           0.7          10.6      -3.9      692       5.3
    Construction.............................           6.4          63.2       3.3    1,060       0.9
    Manufacturing............................           3.0          96.4       1.4    1,428      -1.9
    Trade, transportation, and utilities.....          14.2         211.6       1.5      795       0.8
    Information..............................           1.2          24.3      -1.6    1,620       6.8
    Financial activities.....................           9.3          70.0      -2.2    1,308       0.2
    Professional and business services.......          18.1         226.8       2.4    1,603       2.6
    Education and health services............          27.5         181.8       3.0      891       1.9
    Leisure and hospitality..................           7.7         179.7       3.8      432       2.4
    Other services...........................           7.3          48.7       4.2      559       0.5
  Government.................................           1.4         221.2       0.6    1,136       1.9

King, WA.....................................          84.1       1,248.1       3.5    1,235       2.4
  Private industry...........................          83.6       1,086.5       3.9    1,239       2.4
    Natural resources and mining.............           0.4           2.7      -8.2    1,233     -10.2
    Construction.............................           6.0          57.5       9.6    1,171       1.4
    Manufacturing............................           2.3         105.8       0.1    1,508       1.5
    Trade, transportation, and utilities.....          14.8         232.5       5.1    1,109       3.6
    Information..............................           2.0          85.9       4.1    2,435       4.5
    Financial activities.....................           6.4          65.9       1.8    1,441      -0.4
    Professional and business services.......          15.7         205.5       3.8    1,501       2.0
    Education and health services............          20.9         160.8       4.0      920       1.3
    Leisure and hospitality..................           6.8         128.0       3.7      496       9.0
    Other services...........................           8.4          41.9       5.1      796       1.4
  Government.................................           0.5         161.6       1.1    1,207       2.3

Miami-Dade, FL...............................          93.4       1,026.2       2.5      913       3.3
  Private industry...........................          93.0         904.8       3.0      875       3.8
    Natural resources and mining.............           0.5           7.4       2.6      556       2.8
    Construction.............................           5.3          35.9      11.2      863       3.7
    Manufacturing............................           2.7          37.3       2.1      854       3.6
    Trade, transportation, and utilities.....          27.2         267.5       2.4      831       4.5
    Information..............................           1.5          18.3       4.4    1,462       0.6
    Financial activities.....................           9.8          71.0       4.4    1,380       5.7
    Professional and business services.......          19.7         139.6       3.1    1,050       2.4
    Education and health services............          10.0         160.5       0.9      894       3.0
    Leisure and hospitality..................           7.1         128.3       2.8      512       4.7
    Other services...........................           8.1          37.9       4.2      582       3.2
  Government.................................           0.3         121.4      -0.7    1,169       1.2
 
(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(3) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
  
Note: Data are preliminary. Counties selected are based on 2013 annual average employment.
Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.






Table 3. Covered establishments, employment, and wages by state,
second quarter 2014


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2014                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2014       June    quarter  second
                                            (thousands)   2013-14    2014   quarter
                                                                            2013-14

                                                                                   
United States(2)...........       9,360.5     137,776.4       2.0     $940      2.1
                                                                                   
Alabama....................         117.7       1,872.9       0.7      806      1.6
Alaska.....................          21.9         344.9       0.5    1,014      4.6
Arizona....................         146.0       2,486.0       1.9      888      1.3
Arkansas...................          87.1       1,168.1       1.5      745      1.5
California.................       1,371.9      15,905.6       2.8    1,072      2.4
Colorado...................         178.8       2,439.3       3.4      960      2.9
Connecticut................         113.9       1,676.6       0.6    1,155      2.5
Delaware...................          29.6         429.0       2.5      976      1.2
District of Columbia.......          35.9         732.6       1.0    1,569     -0.5
Florida....................         636.0       7,628.6       3.1      839      2.1
                                                                                   
Georgia....................         281.5       4,036.3       3.1      882      1.7
Hawaii.....................          38.9         624.6       1.1      845      2.7
Idaho......................          54.4         659.2       2.5      697      2.2
Illinois...................         413.4       5,836.9       1.5      988      1.9
Indiana....................         159.0       2,916.9       1.8      784      1.2
Iowa.......................          99.5       1,547.8       1.6      780      3.0
Kansas.....................          85.5       1,372.8       1.7      797      2.3
Kentucky...................         120.6       1,820.8       1.7      798      2.0
Louisiana..................         129.3       1,921.6       1.4      843      2.4
Maine......................          49.1         610.4       0.8      746      2.1
                                                                                   
Maryland...................         166.6       2,594.4       0.9    1,020      1.6
Massachusetts..............         228.3       3,407.0       1.4    1,158      2.4
Michigan...................         236.2       4,164.7       2.3      897      2.3
Minnesota..................         163.6       2,782.0       1.3      947      1.9
Mississippi................          70.9       1,101.1       0.5      705      2.0
Missouri...................         183.5       2,703.2       1.3      818      1.9
Montana....................          43.9         453.4       1.1      734      2.4
Nebraska...................          71.3         956.2       1.4      756      2.7
Nevada.....................          75.8       1,210.1       3.4      833      0.6
New Hampshire..............          49.8         637.2       1.2      955      4.3
                                                                                   
New Jersey.................         264.9       3,944.8       0.8    1,097      1.2
New Mexico.................          56.6         801.0       0.6      794      1.7
New York...................         624.8       8,965.2       1.8    1,146      2.4
North Carolina.............         259.6       4,080.7       2.4      818      1.2
North Dakota...............          31.5         453.0       4.4      936      5.5
Ohio.......................         288.3       5,233.8       1.4      846      2.1
Oklahoma...................         106.9       1,578.0       1.0      816      2.6
Oregon.....................         136.2       1,748.4       2.4      874      2.9
Pennsylvania...............         351.2       5,719.8       1.0      933      1.6
Rhode Island...............          35.8         472.9       1.6      898      2.0
                                                                                   
South Carolina.............         116.1       1,916.4       2.7      765      2.5
South Dakota...............          31.9         422.9       1.4      712      3.3
Tennessee..................         145.3       2,755.7       1.8      836      2.0
Texas......................         618.3      11,402.8       3.0      973      3.1
Utah.......................          89.9       1,297.5       2.9      796      1.7
Vermont....................          24.4         307.0       1.0      813      0.7
Virginia...................         242.9       3,710.8       0.7      976      0.8
Washington.................         236.4       3,109.6       3.2      990      2.1
West Virginia..............          49.8         711.3      -0.3      792      1.4
Wisconsin..................         164.4       2,809.1       1.3      816      2.0
                                                                                   
Wyoming....................          25.5         295.3       1.6      871      3.1
                                                                                   
Puerto Rico................          48.6         897.0      -2.0      504      0.6
Virgin Islands.............           3.4          37.8      -2.2      728      2.8
 
(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
 
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and
Unemployment Compensation for Federal Employees (UCFE) programs.






Last Modified Date: December 18, 2014