County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, September 17, 2015                                    USDL-15-1788

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

COUNTY EMPLOYMENT AND WAGES
First Quarter 2015

From March 2014 to March 2015, employment increased in 323 of the 342 largest U.S. counties 
(counties with 75,000 or more jobs in 2014), the U.S. Bureau of Labor Statistics reported today. Utah, 
Utah, had the largest percentage increase, with a gain of 6.7 percent over the year, compared with 
national job growth of 2.1 percent. Within Utah, the largest employment increase occurred in trade, 
transportation, and utilities, which gained 2,962 jobs over the year (8.9 percent). Atlantic, N.J., had the 
largest over-the-year percentage decrease in employment among the largest counties in the U.S. with a 
loss of 4.3 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 $1,048 in the first 
quarter of 2015. Olmsted, Minn., had the largest over-the-year percentage increase in average weekly 
wages with a gain of 11.7 percent. Within Olmsted, an average weekly wage gain of $243, or 18.6 
percent, in education and health services made the largest contribution to the county’s increase in 
average weekly wages. Snohomish, Wash., experienced the largest percentage decrease in average 
weekly wages with a loss of 4.8 percent over the year.

Table A.  Large counties ranked by March 2015 employment, March 2014-15 employment increase, and 
March 2014-15 percent increase in employment

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                                       Employment in large counties
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       March 2015 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |           March 2014-15          |           March 2014-15
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           137,412.4| United States             2,872.7| United States                 2.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,204.3| Los Angeles, Calif.          86.4| Utah, Utah                    6.7
 Cook, Ill.                2,470.3| Harris, Texas                66.6| Adams, Colo.                  5.8
 New York, N.Y.            2,346.5| New York, N.Y.               60.5| Denton, Texas                 5.8
 Harris, Texas             2,288.8| Dallas, Texas                56.6| Montgomery, Texas             5.8
 Maricopa, Ariz.           1,803.5| Maricopa, Ariz.              52.0| Lee, Fla.                     5.7
 Dallas, Texas             1,570.9| King, Wash.                  42.5| Chatham, Ga.                  5.3
 Orange, Calif.            1,501.2| Santa Clara, Calif.          38.5| Calcasieu, La.                5.3
 San Diego, Calif.         1,352.1| Clark, Nev.                  37.0| Clay, Mo.                     5.3
 King, Wash.               1,254.9| Orange, Calif.               36.4| Weld, Colo.                   5.2
 Miami-Dade, Fla.          1,074.6| Cook, Ill.                   36.1| Collier, Fla.                 5.2
                                  |                                  | Williamson, Tenn.             5.2
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Large County Employment

In March 2015, national employment was 137.4 million (as measured by the QCEW program). Over the 
year, employment increased 2.1 percent, or 2.9 million. In March 2015, the 342 U.S. counties with 
75,000 or more jobs accounted for 72.3 percent of total U.S. employment and 78.6 percent of total 
wages. These 342 counties had a net job growth of 2.2 million over the year, accounting for 75.9 percent 
of the overall U.S. employment increase.

Utah, Utah, had the largest percentage increase in employment (6.7 percent) among the largest U.S. 
counties. The five counties with the largest increases in employment levels were Los Angeles, Calif.; 
Harris, Texas; New York, N.Y.; Dallas, Texas; and Maricopa, Ariz. These counties had a combined 
over-the-year employment gain of 322,100 jobs, which was 11.2 percent of the overall job increase for 
the U.S. (See table A.)

Employment declined in 17 of the largest counties from March 2014 to March 2015. Atlantic, N.J., had 
the largest over-the-year percentage decrease in employment (-4.3 percent). Within Atlantic, leisure and 
hospitality had the largest decrease in employment, with a loss of 6,587 jobs (-15.9 percent). New 
London, Conn., had the second largest percentage decrease in employment, followed by Cumberland, 
N.C.; Broome, N.Y.; and Lafayette, La. (See table 1.)

Table B.  Large counties ranked by first quarter 2015 average weekly wages, first quarter 2014-15
increase in average weekly wages, and first quarter 2014-15 percent increase in average weekly wages 

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                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
         first quarter 2015       |    wage, first quarter 2014-15   |         weekly wage, first
                                  |                                  |          quarter 2014-15
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,048| United States                 $22| United States                 2.1
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 New York, N.Y.             $2,847| Lake, Ill.                   $134| Olmsted, Minn.               11.7
 Santa Clara, Calif.         2,203| Olmsted, Minn.                120| Washington, Pa.              10.7
 Somerset, N.J.              2,080| Washington, Pa.               118| Riverside, Calif.            10.1
 San Francisco, Calif.       2,070| San Francisco, Calif.         115| Lake, Ill.                    9.2
 San Mateo, Calif.           2,066| Morris, N.J.                  112| Orange, Calif.                9.1
 Fairfield, Conn.            1,938| Santa Clara, Calif.           111| Weld, Colo.                   7.5
 Suffolk, Mass.              1,909| Orange, Calif.                102| Bristol, Mass.                7.4
 Washington, D.C.            1,764| Williamson, Tenn.              82| Jefferson, Ala.               7.1
 Morris, N.J.                1,755| Riverside, Calif.              79| Williamson, Tenn.             6.9
 Arlington, Va.              1,732| Middlesex, Mass.               77| Ottawa, Mich.                 6.8
                                  |                                  | Morris, N.J.                  6.8
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,048, a 2.1 percent increase, during the year ending 
in the first quarter of 2015. Among the 342 largest counties, 297 had over-the-year increases in average 
weekly wages. Olmsted, Minn., had the largest percentage wage increase among the largest U.S. 
counties (11.7 percent).

Of the 342 largest counties, 39 experienced over-the-year decreases in average weekly wages. 
Snohomish, Wash., had the largest percentage decrease in average weekly wages, with a loss of 4.8 
percent. Within Snohomish, manufacturing had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $290 (-13.4 percent) over the year. 
Chester, Pa., had the second largest percentage decrease in average weekly wages, followed by 
Williamson, Texas; Saginaw, Mich.; and Palm Beach, Fla. (See table 1.) 

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in March 2015. 
Dallas, Texas, had the largest gain (3.7 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 
16,702 jobs, or 5.5 percent. Cook, Ill., had the smallest percentage increase in employment (1.5 percent) 
among the 10 largest counties. (See table 2.)

Average weekly wages increased over the year in 9 of the 10 largest U.S. counties. Orange, Calif., 
experienced the largest percentage gain in average weekly wages (9.1 percent). Within Orange, 
professional and business services had the largest impact on the county’s average weekly wage growth. 
Within this industry, average weekly wages increased by $373, or 27.6 percent, over the year. New 
York, N.Y., had the only decrease in average weekly wages (-1.3 percent) among the 10 largest 
counties.

For More Information

The tables included in this release contain data for the nation and for the 342 U.S. counties with annual 
average employment levels of 75,000 or more in 2014. March 2015 employment and 2015 first quarter 
average weekly wages for all states are provided in table 3 of this release.

The employment and wage data by county are compiled under the QCEW program, also known as the 
ES-202 program. The data are derived from reports submitted by every employer subject to 
unemployment insurance (UI) laws. The 9.5 million employer reports cover 137.4 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 
first quarter of 2015 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 second quarter 2015 is scheduled to be released 
on Thursday, December 17, 2015.

 ----------------------------------------------------------------------------------------------------------
|                                                                                                          |
|                  County Changes for the 2015 County Employment and Wages News Releases                   |
|                                                                                                          |
|   Counties with annual average employment of 75,000 or more in 2014 are included in this release and     |
|   will be included in future 2015 releases. Three counties have been added to the publication tables:    |
|   Butte, Calif.; Hall, Ga.; and Ector, Texas.                                                            |
|                                                                                                          |
 ----------------------------------------------------------------------------------------------------------






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 2015 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 343 counties 
presented in this release were derived using 2014 preliminary annual averages of employment. For 
2015 data, three counties have been added to the publication tables: Butte, Calif.; Hall, Ga.; and 
Ector, Texas. These counties will be included in all 2015 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- |  588,000 establish-
            |  submitted by 9.5   |  ministrative records|  ments
            |  million establish- |  submitted by 7.5    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2015    |  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 9.4 
million employer reports of employment and wages submitted by states to the BLS in 2014. 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 2014, UI and UCFE programs 
covered workers in 136.6 million jobs. The estimated 131.8  million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.3  percent of civilian wage and salary 
employment. Covered workers received $7.017 trillion in pay, representing 93.8 percent of the 
wage and salary component of personal income and 40.5 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 2014 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. Adjusted data account for improvements in 
reporting employment and wages for individual and multi-unit establishments. To accomplish this, 
adjustments were implemented to account for: administrative changes caused by multi-unit 
employers who start reporting for each individual establishment rather than as a single entity (first 
quarter of 2008); selected large administrative changes in employment and wages (second quarter 
of 2011); and state verified improvements in reporting of employment and wages (third quarter of 
2014). These 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 343 largest counties,
first quarter 2015

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          first quarter                Percent    Ranking            Percent   Ranking
                                2015          March     change,      by      First    change,     by
                            (thousands)       2015       March     percent  quarter    first    percent
                                          (thousands)  2014-15(3)  change     2015    quarter   change
                                                                                     2014-15(3)
                                                                                                     
United States(4).........       9,531.3     137,412.4       2.1        -    $1,048       2.1       - 
                                                                                                     
Jefferson, AL............          17.6         335.5       0.3       309    1,066       7.1        8
Madison, AL..............           9.1         183.8       1.9       165    1,052       0.2      292
Mobile, AL...............           9.6         166.9       1.1       243      834       1.8      162
Montgomery, AL...........           6.3         128.0       0.6       290      801       1.5      195
Shelby, AL...............           5.4          82.3       2.4       135      991       2.5      108
Tuscaloosa, AL...........           4.3          90.8       3.7        45      795      -0.5      314
Anchorage Borough, AK....           8.3         151.6       0.7       282    1,105       3.0       67
Maricopa, AZ.............          94.7       1,803.5       3.0        90      986       0.9      256
Pima, AZ.................          18.9         355.6       0.8       267      820       0.0      298
Benton, AR...............           5.9         107.0       3.7        45    1,302       0.0      298
                                                                                                     
Pulaski, AR..............          14.4         242.3       0.2       314      890       0.9      256
Washington, AR...........           5.7          98.6       3.8        40      775      -0.4      310
Alameda, CA..............          58.3         719.4       3.4        64    1,336       2.8       81
Butte, CA................           7.9          76.9       2.8       103      726       5.4       17
Contra Costa, CA.........          30.3         341.1       1.7       186    1,296       3.5       48
Fresno, CA...............          31.6         355.1       2.9        97      771       2.1      133
Kern, CA.................          17.4         295.9       1.1       243      871       0.8      266
Los Angeles, CA..........         448.7       4,204.3       2.1       155    1,120       2.6       96
Marin, CA................          12.1         110.5       2.1       155    1,241       4.5       29
Monterey, CA.............          13.0         168.3       3.0        90      850       1.8      162
                                                                                                     
Orange, CA...............         110.2       1,501.2       2.5       127    1,221       9.1        5
Placer, CA...............          11.7         145.6       3.6        52      990       4.0       38
Riverside, CA............          55.0         648.7       3.8        40      861      10.1        3
Sacramento, CA...........          53.5         618.6       3.4        64    1,106       2.6       96
San Bernardino, CA.......          52.8         675.7       4.0        31      811       2.0      142
San Diego, CA............         102.6       1,352.1       2.5       127    1,130       0.2      292
San Francisco, CA........          58.3         660.1       4.6        15    2,070       5.9       15
San Joaquin, CA..........          16.9         224.7       4.1        29      818       2.4      114
San Luis Obispo, CA......           9.9         113.4       3.2        76      806       2.9       76
San Mateo, CA............          26.6         375.8       4.6        15    2,066      -0.2      307
                                                                                                     
Santa Barbara, CA........          14.7         192.4       1.3       223      936       3.0       67
Santa Clara, CA..........          67.2       1,001.6       4.0        31    2,203       5.3       20
Santa Cruz, CA...........           9.3          95.9       3.4        64      857       2.1      133
Solano, CA...............          10.4         128.6       2.8       103    1,051       1.6      185
Sonoma, CA...............          19.1         193.5       2.6       119      925       6.2       13
Stanislaus, CA...........          14.6         174.3       3.1        83      830       3.1       62
Tulare, CA...............           9.3         149.2       1.9       165      687       5.0       23
Ventura, CA..............          25.2         317.8       0.7       282    1,039      -1.8      337
Yolo, CA.................           6.3          94.2       3.5        58    1,015       0.2      292
Adams, CO................           9.8         188.3       5.8         2      930       1.8      162
                                                                                                     
Arapahoe, CO.............          20.4         310.2       3.2        76    1,256       0.6      279
Boulder, CO..............          14.0         170.9       2.9        97    1,196       3.0       67
Denver, CO...............          29.0         470.6       4.7        14    1,350       1.7      175
Douglas, CO..............          10.8         109.1       3.9        37    1,205       5.0       23
El Paso, CO..............          17.7         250.5       2.6       119      892       1.8      162
Jefferson, CO............          18.7         223.5       3.2        76    1,020       2.6       96
Larimer, CO..............          11.0         143.0       4.0        31      906       5.3       20
Weld, CO.................           6.5         101.8       5.2         9      932       7.5        6
Fairfield, CT............          34.3         415.4       1.4       214    1,938       0.8      266
Hartford, CT.............          26.7         499.6       1.1       243    1,407       1.8      162
                                                                                                     
New Haven, CT............          23.2         356.4       0.6       290    1,032       0.4      286
New London, CT...........           7.1         118.1      -1.4       341    1,037       1.4      210
New Castle, DE...........          18.7         280.6       3.0        90    1,272      -1.2      330
Washington, DC...........          37.0         732.6       1.4       214    1,764       3.2       58
Alachua, FL..............           6.9         122.5       2.3       142      804       2.6       96
Brevard, FL..............          15.2         194.7       2.5       127      856       0.9      256
Broward, FL..............          68.1         756.7       2.8       103      922       1.3      223
Collier, FL..............          13.1         140.2       5.2         9      828       0.4      286
Duval, FL................          28.3         466.2       3.0        90      992       1.1      239
Escambia, FL.............           8.2         124.8       1.9       165      771       4.3       34
                                                                                                     
Hillsborough, FL.........          40.4         639.6       3.1        83      973       1.9      150
Lake, FL.................           7.9          89.7       4.4        19      649       1.4      210
Lee, FL..................          20.6         241.2       5.7         5      762       1.9      150
Leon, FL.................           8.5         142.8       1.5       210      774       0.7      274
Manatee, FL..............          10.2         116.4       4.4        19      725       2.1      133
Marion, FL...............           8.3          96.9       3.7        45      664       1.2      235
Miami-Dade, FL...........          96.4       1,074.6       3.3        73      982       3.4       54
Okaloosa, FL.............           6.3          79.0       0.7       282      814       3.3       55
Orange, FL...............          39.5         754.1       3.4        64      891       2.1      133
Osceola, FL..............           6.3          84.0       3.8        40      671      -1.5      334
                                                                                                     
Palm Beach, FL...........          53.8         566.5       4.0        31      991      -2.0      338
Pasco, FL................          10.6         108.6       4.6        15      658       1.4      210
Pinellas, FL.............          32.1         407.1       3.1        83      865       2.5      108
Polk, FL.................          12.9         204.6       2.3       142      735       1.0      245
Sarasota, FL.............          15.5         160.4       4.5        18      796       0.8      266
Seminole, FL.............          14.5         170.7       3.3        73      826       2.5      108
Volusia, FL..............          13.9         161.6       2.7       112      691       1.0      245
Bibb, GA.................           4.5          82.6       1.4       214      775       0.8      266
Chatham, GA..............           8.3         143.5       5.3         6      852       1.5      195
Clayton, GA..............           4.4         115.9       4.0        31      976       1.7      175
                                                                                                     
Cobb, GA.................          22.9         330.1       2.4       135    1,137       3.2       58
DeKalb, GA...............          19.1         286.9       1.9       165    1,066       0.4      286
Fulton, GA...............          45.3         781.8       4.2        26    1,506       0.7      274
Gwinnett, GA.............          25.8         332.9       3.7        45      996       0.5      282
Hall, GA.................           4.5          78.0       4.0        31      824       2.7       88
Muscogee, GA.............           4.8          94.0      -0.1       326      823       2.6       96
Richmond, GA.............           4.7         105.0       3.0        90      825       3.1       62
Honolulu, HI.............          24.9         461.9       1.1       243      918       2.8       81
Ada, ID..................          13.9         212.7       2.1       155      873       2.0      142
Champaign, IL............           4.5          88.5       0.6       290      852       2.3      119
                                                                                                     
Cook, IL.................         161.8       2,470.3       1.5       210    1,280       2.2      127
DuPage, IL...............          39.6         592.4       0.8       267    1,202       1.3      223
Kane, IL.................          14.2         201.2       0.3       309      856       1.3      223
Lake, IL.................          23.5         320.7       0.4       306    1,585       9.2        4
McHenry, IL..............           9.1          93.0      -0.2       328      808      -0.4      310
McLean, IL...............           4.0          84.1       0.6       290    1,033      -1.1      327
Madison, IL..............           6.3          96.0       0.8       267      803       1.0      245
Peoria, IL...............           4.9          99.2      -0.4       332      988       2.6       96
St. Clair, IL............           5.8          92.1       1.1       243      766       0.7      274
Sangamon, IL.............           5.5         126.8       0.4       306    1,001       0.5      282
                                                                                                     
Will, IL.................          16.7         214.7       1.0       254      859      -0.7      318
Winnebago, IL............           7.0         124.3       0.5       303      848       2.3      119
Allen, IN................           8.8         177.9       2.2       150      841       1.1      239
Elkhart, IN..............           4.7         122.3       3.6        52      834       3.0       67
Hamilton, IN.............           8.9         128.0       3.9        37    1,027       0.9      256
Lake, IN.................          10.3         183.9       0.2       314      890       3.6       45
Marion, IN...............          23.5         575.0       1.9       165    1,071       0.8      266
St. Joseph, IN...........           5.8         117.6       1.7       186      790       2.1      133
Tippecanoe, IN...........           3.3          81.4       2.7       112      867       4.8       26
Vanderburgh, IN..........           4.7         105.2       1.1       243      822       2.2      127
                                                                                                     
Black Hawk, IA...........           3.8          74.1      -0.6       335      815      -1.5      334
Johnson, IA..............           4.0          81.0       0.8       267      897       2.7       88
Linn, IA.................           6.6         127.8       1.4       214    1,003       4.8       26
Polk, IA.................          16.5         281.9       0.8       267    1,073       2.7       88
Scott, IA................           5.5          89.0       1.7       186      793       1.5      195
Johnson, KS..............          21.9         329.2       2.8       103    1,087       1.6      185
Sedgwick, KS.............          12.5         246.3       1.4       214      910       0.7      274
Shawnee, KS..............           4.8          96.0       0.0       324      817       0.0      298
Wyandotte, KS............           3.3          87.6       2.6       119      969       3.2       58
Boone, KY................           4.2          79.1       3.0        90      833       1.3      223
                                                                                                     
Fayette, KY..............          10.5         184.9       2.7       112      883       1.6      185
Jefferson, KY............          24.6         442.3       2.5       127    1,016       2.3      119
Caddo, LA................           7.2         115.3       0.7       282      794       1.5      195
Calcasieu, LA............           4.9          91.6       5.3         6      858       0.2      292
East Baton Rouge, LA.....          14.5         268.2       2.2       150      942       3.1       62
Jefferson, LA............          13.5         194.5       0.6       290      887       1.3      223
Lafayette, LA............           9.2         139.7      -0.9       338      952      -0.5      314
Orleans, LA..............          11.8         189.4       2.7       112    1,004       3.0       67
St. Tammany, LA..........           7.6          84.1       3.5        58      871       2.6       96
Cumberland, ME...........          12.9         169.6       1.1       243      924       1.3      223
                                                                                                     
Anne Arundel, MD.........          14.5         253.2       1.1       243    1,077       1.8      162
Baltimore, MD............          21.2         367.1       0.9       260      999       1.5      195
Frederick, MD............           6.2          96.2       1.6       199      954      -0.7      318
Harford, MD..............           5.6          87.9       0.8       267      936       2.0      142
Howard, MD...............           9.4         158.2       0.6       290    1,248       1.1      239
Montgomery, MD...........          32.6         454.0       0.9       260    1,407       2.9       76
Prince George's, MD......          15.8         302.5       1.0       254    1,040       3.3       55
Baltimore City, MD.......          13.7         329.1       1.6       199    1,240       3.7       41
Barnstable, MA...........           9.2          82.8       0.3       309      840       1.1      239
Bristol, MA..............          16.8         214.2       0.1       320      939       7.4        7
                                                                                                     
Essex, MA................          23.2         311.5       1.5       210    1,057       1.0      245
Hampden, MA..............          16.9         199.2       1.2       234      921      -0.4      310
Middlesex, MA............          52.4         857.2       2.4       135    1,627       5.0       23
Norfolk, MA..............          24.4         332.6       0.9       260    1,170       1.5      195
Plymouth, MA.............          14.9         180.2       0.9       260      904       1.5      195
Suffolk, MA..............          26.6         626.0       2.2       150    1,909       2.8       81
Worcester, MA............          23.3         329.4       1.9       165      986       0.8      266
Genesee, MI..............           6.9         131.1      -0.2       328      822       4.2       37
Ingham, MI...............           6.0         144.7      -0.2       328      943       1.8      162
Kalamazoo, MI............           5.1         113.2       1.2       234      954       2.9       76
                                                                                                     
Kent, MI.................          13.9         364.3       3.1        83      879       1.3      223
Macomb, MI...............          17.2         307.9       1.6       199    1,001       1.5      195
Oakland, MI..............          38.2         688.9       1.4       214    1,147       3.5       48
Ottawa, MI...............           5.5         115.2       2.8       103      835       6.8       10
Saginaw, MI..............           4.0          82.1       0.6       290      787      -2.4      339
Washtenaw, MI............           8.1         201.7       1.8       177    1,033       3.7       41
Wayne, MI................          30.3         692.5       1.2       234    1,141       1.2      235
Anoka, MN................           6.9         116.4       1.7       186      914       3.5       48
Dakota, MN...............           9.7         180.1       2.3       142    1,013       1.9      150
Hennepin, MN.............          40.6         868.0       2.2       150    1,385       4.4       31
                                                                                                     
Olmsted, MN..............           3.4          91.4       0.5       303    1,148      11.7        1
Ramsey, MN...............          13.3         321.1       1.3       223    1,259       5.4       17
St. Louis, MN............           5.3          95.6       1.6       199      830       2.3      119
Stearns, MN..............           4.3          82.7       1.9       165      795       5.4       17
Washington, MN...........           5.4          75.8       2.0       163      870       3.8       39
Harrison, MS.............           4.4          82.1       0.3       309      723       2.3      119
Hinds, MS................           5.9         119.8       1.0       254      844       1.0      245
Boone, MO................           4.8          90.1       1.6       199      771       3.1       62
Clay, MO.................           5.4          95.0       5.3         6      886       1.7      175
Greene, MO...............           8.4         159.3       1.8       177      750       1.8      162
                                                                                                     
Jackson, MO..............          20.4         354.4       1.7       186    1,007       1.3      223
St. Charles, MO..........           8.8         136.5       3.7        45      848       2.8       81
St. Louis, MO............          35.0         580.5       1.3       223    1,099       2.6       96
St. Louis City, MO.......          11.9         221.2       1.8       177    1,175       0.8      266
Yellowstone, MT..........           6.4          79.3       3.2        76      836       1.6      185
Douglas, NE..............          18.4         326.6       1.3       223      960       2.7       88
Lancaster, NE............           9.9         163.4       1.6       199      797       2.6       96
Clark, NV................          53.1         898.1       4.3        22      853      -0.4      310
Washoe, NV...............          14.2         196.7       3.4        64      850      -0.7      318
Hillsborough, NH.........          12.1         194.0       1.7       186    1,070      -1.4      332
                                                                                                     
Rockingham, NH...........          10.6         138.3       1.9       165      983       3.7       41
Atlantic, NJ.............           6.6         120.9      -4.3       342      831       2.6       96
Bergen, NJ...............          32.8         435.1       1.0       254    1,226      -0.2      307
Burlington, NJ...........          11.1         192.8       1.3       223    1,056       1.6      185
Camden, NJ...............          11.9         197.5       2.5       127      946       1.0      245
Essex, NJ................          20.4         334.2       0.6       290    1,359       1.4      210
Gloucester, NJ...........           6.2         100.7       2.3       142      849       1.0      245
Hudson, NJ...............          14.3         242.2       3.5        58    1,548      -0.9      323
Mercer, NJ...............          11.0         234.9       2.6       119    1,521       3.5       48
Middlesex, NJ............          22.0         393.6       0.4       306    1,334       2.5      108
                                                                                                     
Monmouth, NJ.............          20.0         244.0       1.3       223      992      -0.9      323
Morris, NJ...............          17.0         278.7       0.8       267    1,755       6.8       10
Ocean, NJ................          12.8         152.5       1.7       186      790       1.2      235
Passaic, NJ..............          12.3         163.8       0.0       324      971       1.8      162
Somerset, NJ.............          10.1         178.9       1.8       177    2,080       0.6      279
Union, NJ................          14.3         218.1       1.0       254    1,327       4.4       31
Bernalillo, NM...........          18.0         313.2       0.9       260      844       1.1      239
Albany, NY...............          10.3         227.6       2.1       155    1,007       0.0      298
Bronx, NY................          18.4         297.6       3.2        76      901       0.9      256
Broome, NY...............           4.6          85.8      -1.0       339      759       1.7      175
                                                                                                     
Dutchess, NY.............           8.4         108.5       0.9       260      961       1.7      175
Erie, NY.................          24.5         453.3       0.6       290      885       1.3      223
Kings, NY................          59.3         649.7       4.3        22      818       3.3       55
Monroe, NY...............          18.6         373.6       0.1       320      935       1.0      245
Nassau, NY...............          53.5         605.0       1.2       234    1,103       1.4      210
New York, NY.............         129.0       2,346.5       2.6       119    2,847      -1.3      331
Oneida, NY...............           5.4         101.8       0.6       290      763       1.6      185
Onondaga, NY.............          13.0         238.2       0.1       320      895      -1.5      334
Orange, NY...............          10.2         137.0       1.9       165      805       1.0      245
Queens, NY...............          50.9         621.3       3.5        58      936       1.4      210
                                                                                                     
Richmond, NY.............           9.7         111.3       2.1       155      825       0.9      256
Rockland, NY.............          10.4         116.0       2.7       112    1,012      -1.4      332
Saratoga, NY.............           5.9          80.6       2.5       127      882       1.5      195
Suffolk, NY..............          52.0         624.0       0.7       282    1,048       2.4      114
Westchester, NY..........          36.5         411.8       1.6       199    1,419      -1.1      327
Buncombe, NC.............           8.5         121.5       3.5        58      728      -0.1      304
Catawba, NC..............           4.3          82.1       1.7       186      761       4.8       26
Cumberland, NC...........           6.2         116.0      -1.3       340      741       1.4      210
Durham, NC...............           7.8         189.3       2.8       103    1,369       2.2      127
Forsyth, NC..............           9.3         179.0       1.8       177    1,017      -0.8      322
                                                                                                     
Guilford, NC.............          14.2         273.0       2.4       135      901       1.6      185
Mecklenburg, NC..........          34.7         627.7       4.3        22    1,397       1.2      235
New Hanover, NC..........           7.6         103.4       3.6        52      782       1.0      245
Wake, NC.................          31.4         500.0       3.7        45    1,039       1.5      195
Cass, ND.................           6.8         113.6       2.8       103      914       5.3       20
Butler, OH...............           7.5         141.6       1.4       214      909       3.6       45
Cuyahoga, OH.............          35.5         699.7       0.3       309    1,071       1.8      162
Delaware, OH.............           4.8          81.2       0.2       314    1,107      -0.5      314
Franklin, OH.............          30.3         703.4       2.5       127    1,045       1.9      150
Hamilton, OH.............          23.1         495.3       1.3       223    1,122       0.6      279
                                                                                                     
Lake, OH.................           6.3          92.9       0.7       282      829       1.0      245
Lorain, OH...............           6.0          94.1       0.7       282      809       0.7      274
Lucas, OH................          10.0         202.8       0.8       267      887       2.1      133
Mahoning, OH.............           5.8          96.4       0.7       282      698       2.2      127
Montgomery, OH...........          11.9         244.7       1.6       199      858       0.4      286
Stark, OH................           8.6         155.4       0.8       267      759       1.3      223
Summit, OH...............          14.1         259.4       1.2       234      938       1.5      195
Warren, OH...............           4.6          83.9       2.0       163      873       1.7      175
Cleveland, OK............           5.4          80.4       1.7       186      702       1.4      210
Oklahoma, OK.............          26.9         446.7       1.8       177    1,005       3.6       45
                                                                                                     
Tulsa, OK................          21.7         347.5       2.3       142      980       0.9      256
Clackamas, OR............          13.8         147.8       2.7       112      914       3.5       48
Jackson, OR..............           6.9          80.3       3.4        64      744       1.8      162
Lane, OR.................          11.5         144.0       2.5       127      760       2.6       96
Marion, OR...............           9.9         140.8       4.2        26      770       2.1      133
Multnomah, OR............          31.8         472.3       3.4        64    1,026       1.5      195
Washington, OR...........          17.9         270.5       3.6        52    1,278       6.0       14
Allegheny, PA............          35.5         675.6       0.1       320    1,200       6.3       12
Berks, PA................           8.9         167.1       1.4       214      881       1.5      195
Bucks, PA................          19.7         250.0       1.2       234      930       1.1      239
                                                                                                     
Butler, PA...............           5.0          83.3      -0.6       335      919       1.9      150
Chester, PA..............          15.2         240.1       0.6       290    1,363      -4.0      341
Cumberland, PA...........           6.2         127.7       2.4       135      908      -0.5      314
Dauphin, PA..............           7.4         173.7       0.6       290    1,036       0.0      298
Delaware, PA.............          13.9         215.4       0.8       267    1,143       1.9      150
Erie, PA.................           7.2         122.6       1.0       254      770       1.4      210
Lackawanna, PA...........           5.8          95.8      -0.1       326      752       1.3      223
Lancaster, PA............          13.1         224.3       1.9       165      818       1.9      150
Lehigh, PA...............           8.5         178.7       1.1       243    1,006       2.9       76
Luzerne, PA..............           7.5         139.9       0.8       267      783       1.4      210
                                                                                                     
Montgomery, PA...........          27.3         468.0       0.8       267    1,387       3.0       67
Northampton, PA..........           6.6         105.8       1.3       223      882       1.4      210
Philadelphia, PA.........          35.0         646.1       1.6       199    1,214       2.4      114
Washington, PA...........           5.4          86.3       1.5       210    1,219      10.7        2
Westmoreland, PA.........           9.3         129.5       0.2       314      785       1.3      223
York, PA.................           9.0         171.5       0.8       267      854       1.4      210
Providence, RI...........          17.4         276.1       1.3       223    1,077       1.9      150
Charleston, SC...........          13.2         230.2       3.1        83      880       1.5      195
Greenville, SC...........          13.2         252.2       2.8       103      858       0.5      282
Horry, SC................           8.2         113.6       3.3        73      583       2.1      133
                                                                                                     
Lexington, SC............           6.2         110.4       3.4        64      748       3.2       58
Richland, SC.............           9.6         210.8       1.1       243      862       1.4      210
Spartanburg, SC..........           6.0         125.9       2.1       155      834       2.3      119
York, SC.................           5.2          83.6       3.1        83      800       3.0       67
Minnehaha, SD............           6.9         121.0       2.1       155      872       2.1      133
Davidson, TN.............          20.5         444.7       2.9        97    1,085       2.6       96
Hamilton, TN.............           9.1         189.2       2.3       142      880       2.0      142
Knox, TN.................          11.6         228.0       2.6       119      858       2.5      108
Rutherford, TN...........           5.0         113.6       2.6       119      861       3.0       67
Shelby, TN...............          20.0         477.2       1.3       223    1,009      -0.7      318
                                                                                                     
Williamson, TN...........           7.6         111.2       5.2         9    1,262       6.9        9
Bell, TX.................           5.0         113.1       1.8       177      813      -0.9      323
Bexar, TX................          37.7         810.1       3.2        76      937       2.4      114
Brazoria, TX.............           5.3         102.3       4.3        22    1,073       4.4       31
Brazos, TX...............           4.2          99.1       4.2        26      736       3.1       62
Cameron, TX..............           6.4         135.3       1.4       214      593       2.4      114
Collin, TX...............          21.8         357.2       4.1        29    1,244       1.9      150
Dallas, TX...............          72.0       1,570.9       3.7        45    1,303       1.7      175
Denton, TX...............          13.0         214.3       5.8         2      905       2.3      119
Ector, TX................           3.9          76.1       2.3       142    1,067      -1.1      327
                                                                                                     
El Paso, TX..............          14.4         287.5       1.7       186      689       0.0      298
Fort Bend, TX............          11.5         167.4       5.0        12    1,028       0.1      297
Galveston, TX............           5.8         100.6       1.8       177      891      -0.9      323
Gregg, TX................           4.2          78.0       1.1       243      875       0.3      290
Harris, TX...............         110.1       2,288.8       3.0        90    1,455       3.8       39
Hidalgo, TX..............          11.9         245.2       2.8       103      607       1.7      175
Jefferson, TX............           5.8         123.6       2.9        97    1,077       5.9       15
Lubbock, TX..............           7.3         132.7       2.2       150      760       1.6      185
McLennan, TX.............           5.0         104.6       0.2       314      797       3.0       67
Midland, TX..............           5.4          90.4       1.7       186    1,326      -0.2      307
                                                                                                     
Montgomery, TX...........          10.3         164.5       5.8         2    1,049       1.9      150
Nueces, TX...............           8.2         164.5       1.9       165      888       2.7       88
Potter, TX...............           3.9          78.4       1.2       234      794       2.8       81
Smith, TX................           6.0          98.4       3.6        52      802       0.9      256
Tarrant, TX..............          40.4         828.0       2.1       155    1,028       2.7       88
Travis, TX...............          36.3         676.0       3.8        40    1,153       3.7       41
Webb, TX.................           5.1          96.8       3.1        83      663       2.2      127
Williamson, TX...........           9.3         147.9       2.9        97    1,091      -3.1      340
Davis, UT................           7.7         115.1       3.9        37      785       0.8      266
Salt Lake, UT............          41.0         635.8       3.4        64      966       2.0      142
                                                                                                     
Utah, UT.................          14.1         202.0       6.7         1      786       1.9      150
Weber, UT................           5.6          97.9       3.8        40      721      -0.1      304
Chittenden, VT...........           6.5          99.3       1.6       199      942       0.5      282
Arlington, VA............           8.9         165.9       1.3       223    1,732       2.7       88
Chesterfield, VA.........           8.1         125.4       1.8       177      863       1.8      162
Fairfax, VA..............          35.3         574.5       0.5       303    1,635       2.7       88
Henrico, VA..............          10.6         181.7       2.9        97    1,061       0.3      290
Loudoun, VA..............          10.9         146.9       0.9       260    1,246       0.2      292
Prince William, VA.......           8.5         121.2       1.7       186      862      -0.1      304
Alexandria City, VA......           6.3          94.5       1.2       234    1,395       1.5      195
                                                                                                     
Chesapeake City, VA......           5.7          95.5      -0.8       337      765       0.9      256
Newport News City, VA....           3.7          97.0      -0.4       332    1,032       4.3       34
Norfolk City, VA.........           5.6         133.1      -0.4       332      979       1.6      185
Richmond City, VA........           7.1         147.4       0.6       290    1,206       4.5       29
Virginia Beach City, VA..          11.3         169.4       1.7       186      780       1.7      175
Benton, WA...............           5.7          80.4       4.4        19      970       1.7      175
Clark, WA................          14.0         142.5       4.8        13      898       1.8      162
King, WA.................          84.6       1,254.9       3.5        58    1,391       2.8       81
Kitsap, WA...............           6.7          82.6       2.3       142      907       2.3      119
Pierce, WA...............          21.8         280.8       2.4       135      881       2.0      142
                                                                                                     
Snohomish, WA............          20.2         271.7       2.4       135    1,102      -4.8      342
Spokane, WA..............          15.6         207.4       2.7       112      848       2.9       76
Thurston, WA.............           7.9         105.1       3.2        76      881       2.0      142
Whatcom, WA..............           7.1          84.4       2.6       119      811       1.6      185
Yakima, WA...............           7.9         102.9       3.6        52      658       0.9      256
Kanawha, WV..............           6.0         102.5      -0.3       331      860       2.0      142
Brown, WI................           6.5         148.0       0.8       267      900       2.5      108
Dane, WI.................          14.2         314.4       1.6       199    1,003       3.5       48
Milwaukee, WI............          25.3         475.8       0.8       267    1,015       2.2      127
Outagamie, WI............           5.0         102.8       1.9       165      845       1.9      150
                                                                                                     
Waukesha, WI.............          12.2         229.5       1.2       234    1,034       4.3       34
Winnebago, WI............           3.5          88.7       0.2       314      954       2.8       81
San Juan, PR.............          10.8         250.4      -2.1       (5)      631       1.6      (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 342 U.S. counties comprise 72.3 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
first quarter 2015

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               first quarter 
         County by NAICS supersector               2015                     Percent            Percent
                                               (thousands)        March     change,     First  change,
                                                                  2015       March     quarter  first
                                                              (thousands)  2014-15(2)   2015   quarter
                                                                                              2014-15(2)


United States(3) ............................       9,531.3     137,412.4       2.1   $1,048       2.1
  Private industry...........................       9,232.7     115,901.4       2.5    1,056       2.0
    Natural resources and mining.............         137.8       1,933.8       0.2    1,278       2.8
    Construction.............................         760.9       6,016.1       4.9    1,016       1.7
    Manufacturing............................         341.4      12,219.9       1.4    1,275       1.3
    Trade, transportation, and utilities.....       1,921.4      26,120.2       2.3      860       2.3
    Information..............................         150.6       2,717.9       0.7    1,959       2.5
    Financial activities.....................         843.0       7,723.3       1.7    2,161       2.0
    Professional and business services.......       1,710.4      19,178.9       2.9    1,391       2.9
    Education and health services............       1,512.6      20,903.3       2.0      865       1.6
    Leisure and hospitality..................         802.9      14,546.2       2.7      400       3.4
    Other services...........................         823.3       4,237.2       1.6      657       2.5
  Government.................................         298.6      21,511.0       0.4    1,006       2.3

Los Angeles, CA..............................         448.7       4,204.3       2.1    1,120       2.6
  Private industry...........................         442.8       3,647.3       2.1    1,097       2.7
    Natural resources and mining.............           0.5           8.9      -7.4    1,717      26.3
    Construction.............................          13.2         121.6       3.7    1,080       1.8
    Manufacturing............................          12.3         358.9      -1.5    1,258       3.5
    Trade, transportation, and utilities.....          52.8         791.1       2.2      896       2.3
    Information..............................           9.4         202.4      -0.2    2,186       4.3
    Financial activities.....................          24.4         209.1      -0.4    2,227       4.0
    Professional and business services.......          46.8         590.4       1.9    1,381       2.8
    Education and health services............         206.1         718.8       1.4      805       2.7
    Leisure and hospitality..................          30.7         470.7       2.9      575       5.7
    Other services...........................          27.4         144.2       1.1      671       4.4
  Government.................................           5.9         557.1       1.8    1,278       2.5

New York, NY.................................         129.0       2,346.5       2.6    2,847      -1.3
  Private industry...........................         128.1       2,084.4       2.8    3,049      -1.5
    Natural resources and mining.............           0.0           0.1      -8.7    3,085     -22.0
    Construction.............................           2.2          35.0       4.9    1,795       5.5
    Manufacturing............................           2.2          26.9       0.9    1,615     -10.0
    Trade, transportation, and utilities.....          20.5         256.8       1.1    1,352       1.3
    Information..............................           4.9         152.0       1.7    3,177      -0.8
    Financial activities.....................          19.2         361.9       1.6    8,932      -4.0
    Professional and business services.......          27.1         532.3       3.7    2,667       4.1
    Education and health services............           9.8         332.7       3.0    1,215       1.2
    Leisure and hospitality..................          13.8         280.0       3.2      834       3.1
    Other services...........................          20.4          99.0       2.0    1,153       6.5
  Government.................................           0.8         262.1       1.6    1,232       0.9

Cook, IL.....................................         161.8       2,470.3       1.5    1,280       2.2
  Private industry...........................         160.5       2,175.2       1.6    1,292       2.3
    Natural resources and mining.............           0.1           0.9      18.2    1,104      29.6
    Construction.............................          13.4          64.3       9.7    1,356       2.0
    Manufacturing............................           6.7         186.3      -0.1    1,231       0.3
    Trade, transportation, and utilities.....          32.0         457.1       1.8      971       3.5
    Information..............................           2.8          54.0       2.5    2,076       2.6
    Financial activities.....................          16.3         183.9       0.1    3,492       6.7
    Professional and business services.......          34.7         453.5       2.8    1,543      -0.4
    Education and health services............          16.9         427.3       0.4      891       1.0
    Leisure and hospitality..................          14.6         248.5       1.1      477       5.1
    Other services...........................          18.4          95.5       1.2      938      -3.9
  Government.................................           1.3         295.2       0.7    1,192       1.0

Harris, TX...................................         110.1       2,288.8       3.0    1,455       3.8
  Private industry...........................         109.6       2,020.0       3.1    1,505       3.9
    Natural resources and mining.............           1.9          90.4      -1.1    4,460       7.1
    Construction.............................           7.0         161.2       6.9    1,333       1.4
    Manufacturing............................           4.8         197.4       0.5    1,833      10.7
    Trade, transportation, and utilities.....          24.8         471.8       3.5    1,364       5.2
    Information..............................           1.1          27.3      -2.4    1,527       1.3
    Financial activities.....................          11.3         119.9       2.2    2,230       3.1
    Professional and business services.......          22.2         392.5       2.2    1,741       1.8
    Education and health services............          15.0         276.1       4.6      966       0.9
    Leisure and hospitality..................           9.3         217.4       4.8      428       3.9
    Other services...........................          11.8          65.0       3.5      795       3.9
  Government.................................           0.6         268.8       2.0    1,078       3.1

Maricopa, AZ.................................          94.7       1,803.5       3.0      986       0.9
  Private industry...........................          94.0       1,591.6       3.2      995       0.7
    Natural resources and mining.............           0.5           8.6       3.1    1,179       1.1
    Construction.............................           7.3          94.4       2.6      965      -1.5
    Manufacturing............................           3.2         114.0      -0.8    1,532       2.3
    Trade, transportation, and utilities.....          20.0         354.4       2.8      905       1.2
    Information..............................           1.6          34.1       4.0    1,405      -4.4
    Financial activities.....................          11.2         157.5       4.1    1,479      -2.2
    Professional and business services.......          22.1         301.2       2.7    1,092       3.2
    Education and health services............          10.8         268.5       4.2      922       1.9
    Leisure and hospitality..................           7.5         204.3       2.9      451       2.5
    Other services...........................           6.4          49.7       4.9      658      -1.5
  Government.................................           0.7         211.9       0.9      917       1.9

Dallas, TX...................................          72.0       1,570.9       3.7    1,303       1.7
  Private industry...........................          71.5       1,401.7       4.0    1,328       1.6
    Natural resources and mining.............           0.6           9.6       2.4    4,845       7.2
    Construction.............................           4.1          78.0       4.7    1,099       0.1
    Manufacturing............................           2.7         105.1      -0.2    1,687       5.4
    Trade, transportation, and utilities.....          15.6         318.4       5.1    1,094       0.6
    Information..............................           1.4          47.9       1.6    2,383       0.4
    Financial activities.....................           8.7         153.8       2.7    2,155       2.1
    Professional and business services.......          16.2         319.3       5.5    1,448       3.4
    Education and health services............           8.9         182.8       3.5    1,032      -3.4
    Leisure and hospitality..................           6.2         145.9       4.8      500       4.4
    Other services...........................           6.8          40.4       1.9      787       1.7
  Government.................................           0.5         169.2       1.4    1,094       2.3

Orange, CA...................................         110.2       1,501.2       2.5    1,221       9.1
  Private industry...........................         108.8       1,352.3       2.5    1,209      10.1
    Natural resources and mining.............           0.2           3.3     -12.1      961      11.9
    Construction.............................           6.4          84.7       4.4    1,190       2.8
    Manufacturing............................           4.8         154.7       0.1    1,423       3.0
    Trade, transportation, and utilities.....          16.5         250.7       1.5    1,043       7.2
    Information..............................           1.2          25.4      -0.8    1,921       6.5
    Financial activities.....................          10.7         114.4       2.8    1,953       5.9
    Professional and business services.......          20.1         279.1       1.2    1,726      27.6
    Education and health services............          27.9         189.8       2.0      882       2.3
    Leisure and hospitality..................           8.0         196.1       3.0      460       5.5
    Other services...........................           6.8          43.2       2.1      657       3.8
  Government.................................           1.4         148.9       2.2    1,336       1.8

San Diego, CA................................         102.6       1,352.1       2.5    1,130       0.2
  Private industry...........................         100.9       1,126.3       2.7    1,110      -0.2
    Natural resources and mining.............           0.7           9.3       1.4      624       1.1
    Construction.............................           6.3          65.8       5.8    1,092       2.5
    Manufacturing............................           3.0         103.4       2.7    1,681      -6.1
    Trade, transportation, and utilities.....          14.0         212.5       1.2      864      -6.0
    Information..............................           1.1          23.1      -4.5    1,703      -4.8
    Financial activities.....................           9.4          69.1       0.8    1,633       4.4
    Professional and business services.......          17.7         224.4       1.7    1,716       3.7
    Education and health services............          28.4         184.6       2.6      881       1.7
    Leisure and hospitality..................           7.7         177.0       2.9      449       5.2
    Other services...........................           7.3          48.2       1.3      572       4.4
  Government.................................           1.7         225.9       1.0    1,230       1.7

King, WA.....................................          84.6       1,254.9       3.5    1,391       2.8
  Private industry...........................          84.1       1,091.4       3.8    1,412       2.8
    Natural resources and mining.............           0.4           2.5       9.3    1,440      -6.7
    Construction.............................           6.1          61.2      14.2    1,206       3.1
    Manufacturing............................           2.3         106.6       0.6    1,792      -6.8
    Trade, transportation, and utilities.....          14.8         235.5       5.1    1,233       5.9
    Information..............................           2.0          85.3       2.2    3,025       7.8
    Financial activities.....................           6.5          65.1       1.1    2,017       5.1
    Professional and business services.......          16.2         208.5       5.4    1,664       2.4
    Education and health services............          20.1         162.1       0.9      932       3.8
    Leisure and hospitality..................           6.9         122.8       3.0      491       4.0
    Other services...........................           8.7          41.8       2.8      817       2.6
  Government.................................           0.5         163.5       1.9    1,248       1.8

Miami-Dade, FL...............................          96.4       1,074.6       3.3      982       3.4
  Private industry...........................          96.1         938.7       4.0      967       3.4
    Natural resources and mining.............           0.5           9.8      -1.4      512       6.4
    Construction.............................           5.6          38.3       9.9      913       1.7
    Manufacturing............................           2.8          38.2       2.1      907       0.7
    Trade, transportation, and utilities.....          27.7         274.5       3.7      905       4.1
    Information..............................           1.5          17.8      -0.8    1,575       0.0
    Financial activities.....................          10.1          72.8       4.3    1,886       5.1
    Professional and business services.......          20.2         145.6       5.4    1,148       3.0
    Education and health services............          10.1         165.6       2.3      934       3.3
    Leisure and hospitality..................           7.2         133.6       2.5      544       3.6
    Other services...........................           8.3          39.8       5.4      576       0.9
  Government.................................           0.3         135.9      -0.9    1,084       3.2
 
(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 2014 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,
first quarter 2015


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             first quarter
            State                2015                     Percent           Percent
                             (thousands)        March     change,   First   change,
                                                2015       March   quarter   first
                                             (thousands)  2014-15    2015   quarter
                                                                            2014-15

                                                                                   
United States(2)...........       9,531.3     137,412.4       2.1   $1,048      2.1
                                                                                   
Alabama....................         118.4       1,873.5       1.3      844      2.2
Alaska.....................          22.2         322.2       1.0    1,051      2.6
Arizona....................         150.1       2,605.6       2.5      926      1.0
Arkansas...................          88.2       1,166.6       1.3      790      0.8
California.................       1,408.9      16,029.5       3.0    1,207      3.7
Colorado...................         183.9       2,458.0       3.7    1,071      2.4
Connecticut................         114.9       1,640.5       0.8    1,382      1.5
Delaware...................          30.4         422.8       2.5    1,105     -0.5
District of Columbia.......          37.0         732.6       1.4    1,764      3.2
Florida....................         657.1       8,018.0       3.6      885      1.8
                                                                                   
Georgia....................         288.1       4,107.0       3.5      989      1.7
Hawaii.....................          39.4         633.7       1.3      881      2.8
Idaho......................          55.0         650.3       3.1      736      2.2
Illinois...................         422.9       5,724.6       1.2    1,130      2.4
Indiana....................         159.4       2,894.8       1.8      857      1.4
Iowa.......................         100.4       1,504.3       1.3      848      2.9
Kansas.....................          86.4       1,357.1       1.0      851      1.4
Kentucky...................         121.5       1,810.3       1.5      823      1.5
Louisiana..................         126.2       1,927.1       1.0      885      2.0
Maine......................          50.1         571.4       0.9      793      0.9
                                                                                   
Maryland...................         165.9       2,540.8       1.2    1,113      2.5
Massachusetts..............         237.3       3,338.6       1.7    1,341      3.2
Michigan...................         237.2       4,079.5       1.8      969      1.9
Minnesota..................         166.9       2,709.2       1.8    1,079      4.3
Mississippi................          72.0       1,102.3       0.6      711      0.7
Missouri...................         189.9       2,678.0       1.7      882      1.8
Montana....................          45.3         441.0       2.7      750      2.6
Nebraska...................          70.8         943.1       1.4      818      2.5
Nevada.....................          77.8       1,227.7       3.7      865     -0.2
New Hampshire..............          50.1         623.5       1.5      982      1.2
                                                                                   
New Jersey.................         266.6       3,834.6       1.4    1,288      1.9
New Mexico.................          56.6         798.7       1.4      805      1.5
New York...................         631.3       8,865.0       1.9    1,463      0.2
North Carolina.............         264.8       4,099.4       2.5      930      1.9
North Dakota...............          31.9         436.0       1.6      984      4.2
Ohio.......................         290.4       5,144.5       1.4      922      1.4
Oklahoma...................         108.5       1,592.7       1.3      869      2.0
Oregon.....................         141.5       1,748.7       3.5      919      2.9
Pennsylvania...............         351.8       5,606.9       0.9    1,031      2.4
Rhode Island...............          36.1         456.1       1.4    1,008      1.2
                                                                                   
South Carolina.............         122.2       1,919.1       2.5      801      1.8
South Dakota...............          32.1         406.5       1.5      763      3.0
Tennessee..................         150.6       2,772.7       2.1      886      1.4
Texas......................         632.2      11,557.0       2.9    1,089      2.5
Utah.......................          91.3       1,318.8       3.7      845      1.7
Vermont....................          24.6         303.9       0.9      824      2.0
Virginia...................         246.1       3,649.3       1.1    1,068      1.7
Washington.................         237.6       3,064.4       3.2    1,087      1.8
West Virginia..............          49.9         692.4      -0.3      792      1.4
Wisconsin..................         165.7       2,734.3       1.5      877      2.5
                                                                                   
Wyoming....................          25.9         277.8       0.8      892      1.7
                                                                                   
Puerto Rico................          46.2         904.9      -1.1      524      1.0
Virgin Islands.............           3.4          38.5       0.0      738     -0.7
 
(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: September 17, 2015