County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, March 9, 2016                                   USDL-16-0462

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

COUNTY EMPLOYMENT AND WAGES
Third Quarter 2015

From September 2014 to September 2015, employment increased in 312 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. 
Williamson, Tenn., had the largest percentage increase, with a gain of 6.5 percent over the year, above 
the national job growth of 1.9 percent. Within Williamson, the largest employment increase occurred in 
professional and business services, which gained 2,538 jobs over the year (8.8 percent). Ector, Texas, 
had the largest over-the-year percentage decrease in employment among the largest counties in the U.S., 
with a loss of 8.3 percent. Within Ector, natural resources and mining had the largest decrease in 
employment, with a loss of 3,752 jobs (-28.4 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 2.6 percent over the year, growing to $974 in the third quarter 
of 2015. Rockland, N.Y., had the largest over-the-year percentage increase in average weekly wages 
with a gain of 24.9 percent. Within Rockland, an average weekly wage gain of $3,170, or 220.4 percent, 
in manufacturing made the largest contribution to the county’s increase in average weekly wages. 
Midland, Texas, experienced the largest percentage decrease in average weekly wages with a loss of 6.7 
percent over the year. Within Midland, natural resources and mining had the largest impact on the 
county’s average weekly wage decline with a decrease of $163 (-8.1 percent) over the year.

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

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                                       Employment in large counties
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     September 2015 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |         September 2014-15        |         September 2014-15
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           140,442.2| United States             2,679.6| United States                 1.9
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                                  |                                  |                                  
 Los Angeles, Calif.       4,261.8| Los Angeles, Calif.          93.0| Williamson, Tenn.             6.5
 Cook, Ill.                2,535.6| Maricopa, Ariz.              65.4| Utah, Utah                    6.3
 New York, N.Y.            2,370.4| Dallas, Texas                62.9| Denton, Texas                 6.1
 Harris, Texas             2,287.6| Orange, Calif.               49.0| Chesterfield, Va.             5.7
 Maricopa, Ariz.           1,824.7| New York, N.Y.               48.3| Lee, Fla.                     5.5
 Dallas, Texas             1,616.8| King, Wash.                  42.0| Osceola, Fla.                 5.4
 Orange, Calif.            1,524.0| Santa Clara, Calif.          39.8| Loudoun, Va.                  5.3
 San Diego, Calif.         1,384.0| San Diego, Calif.            38.7| San Francisco, Calif.         5.2
 King, Wash.               1,292.1| Cook, Ill.                   37.8| Clay, Mo.                     5.1
 Miami-Dade, Fla.          1,076.1| San Francisco, Calif.        34.0| San Mateo, Calif.             5.0
--------------------------------------------------------------------------------------------------------

Large County Employment

In September 2015, national employment was 140.4 million (as measured by the QCEW program). Over 
the year, employment increased 1.9 percent, or 2.7 million. In September 2015, the 342 U.S. counties 
with 75,000 or more jobs accounted for 72.2 percent of total U.S. employment and 77.3 percent of total 
wages. These 342 counties had a net job growth of 2.1 million over the year, accounting for 79.6 percent 
of the overall U.S. employment increase. 

Williamson, Tenn., had the largest percentage increase in employment (6.5 percent) among the largest 
U.S. counties. The five counties with the largest increases in employment levels were Los Angeles, 
Calif.; Maricopa, Ariz.; Dallas, Texas; Orange, Calif.; and New York, N.Y. These counties had a 
combined over-the-year employment gain of 318,600 jobs, which was 11.9 percent of the overall job 
increase for the U.S. (See table A.)

Employment declined in 24 of the largest counties from September 2014 to September 2015. Ector, 
Texas, had the largest over-the-year percentage decrease in employment (-8.3 percent). Midland, Texas, 
had the second largest percentage decrease in employment, followed by Gregg, Texas; Lafayette, La.; 
and Atlantic, N.J. (See table 1.)

Table B.  Large counties ranked by third quarter 2015 average weekly wages, third quarter 2014-15
increase in average weekly wages, and third 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 
         third quarter 2015       |    wage, third quarter 2014-15   |         weekly wage, third
                                  |                                  |          quarter 2014-15
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $974| United States                 $25| United States                 2.6
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,090| Rockland, N.Y.               $233| Rockland, N.Y.               24.9
 San Mateo, Calif.           1,894| Lake, Ill.                    136| Lake, Ill.                   11.7
 New York, N.Y.              1,829| Washington, Ore.               78| Onondaga, N.Y.                6.5
 San Francisco, Calif.       1,712| Marin, Calif.                  68| Washington, Ore.              6.4
 Washington, D.C.            1,667| Santa Clara, Calif.            65| Marin, Calif.                 6.1
 Arlington, Va.              1,587| San Mateo, Calif.              62| Santa Cruz, Calif.            6.1
 Suffolk, Mass.              1,559| Somerset, N.J.                 60| Genesee, Mich.                5.6
 King, Wash.                 1,463| Onondaga, N.Y.                 56| Davidson, Tenn.               5.5
 Fairfax, Va.                1,462| Davidson, Tenn.                54| Placer, Calif.                5.4
 Somerset, N.J.              1,447| Williamson, Tenn.              54| Williamson, Tenn.             5.2
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $974, a 2.6 percent increase, during the year ending in 
the third quarter of 2015. Among the 342 largest counties, 319 had over-the-year increases in average 
weekly wages. Rockland, N.Y., had the largest percentage wage increase among the largest U.S. 
counties (24.9 percent).

Of the 342 largest counties, 20 experienced over-the-year decreases in average weekly wages. Midland, 
Texas, had the largest percentage decrease in average weekly wages, with a loss of 6.7 percent. Ector, 
Texas, had the second largest percentage decrease in average weekly wages, followed by Lafayette, La.; 
Stark, Ohio; and Gregg, Texas. (See table 1.) 

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in September 
2015. Dallas, Texas, had the largest gain (4.0 percent). Within Dallas, trade, transportation, and utilities 
had the largest over-the-year employment level increase, with a gain of 17,638 jobs, or 5.6 percent. 
Harris, Texas, had the smallest percentage increase in employment (0.8 percent) among the 10 largest 
counties. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. San Diego, Calif., 
experienced the largest percentage gain in average weekly wages (4.2 percent). Within San Diego, 
professional and business services had the largest impact on the county’s average weekly wage growth. 
Within this industry, average weekly wages increased by $120, or 8.4 percent, over the year. Harris, 
Texas, had the smallest percentage gain in average weekly wages (0.1 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. September 2015 employment and 2015 
third 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 9.6 million employer reports cover 140.4 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 
third 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 fourth quarter 2015 is scheduled to be released 
on Wednesday, June 8, 2016.

 ----------------------------------------------------------------------------------------------------------
|                                                                                                          |
|         Census Area Name Change Effective with BLS Release of Data for Fourth Quarter of 2015            |
|                                                                                                          |
|  On July 1, 2015, Wade Hampton, Alaska, was officially renamed Kusilvak, Alaska. This census area is     |
|  not part of this release because it has fewer than 75,000 jobs. However, BLS does publish data for this |
|  census area. This name change is not reflected in this quarter’s data release. The census area name     |
|  change will be implemented by BLS with the fourth quarter 2015 news release. The name change will       |
|  also be retroactively implemented for the third quarter data. Data prior to third quarter 2015 will     |
|  still be available under Wade Hampton, Alaska.                                                          |
|                                                                                                          |
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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- |  623,000 establish-
            |  submitted by 9.5   |  ministrative records|  ments
            |  million establish- |  submitted by 7.6    |
            |  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|  -7 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 2014 edition 
of this publication, which was published in September 2015, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2015 version of this news release. Tables and additional content from the 2014 edition 
of Employment and Wages Annual Averages Online are now available at 
http://www.bls.gov/cew/cewbultn14.htm. The 2015 edition of Employment and Wages Annual 
Averages Online will be available in September 2016.

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,
third quarter 2015

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          third quarter                Percent    Ranking            Percent   Ranking
                                2015       September    change,      by      Third    change,     by
                            (thousands)       2015     September   percent  quarter    third    percent
                                          (thousands)  2014-15(3)  change     2015    quarter   change
                                                                                     2014-15(3)
                                                                                                     
United States(4).........       9,633.8     140,442.2       1.9        -      $974       2.6       - 
                                                                                                     
Jefferson, AL............          17.8         338.3       0.7       266      962       0.8      311
Madison, AL..............           9.2         186.5       1.7       186    1,053       1.5      265
Mobile, AL...............           9.7         166.6       0.4       292      835       1.7      253
Montgomery, AL...........           6.3         128.7       0.7       266      819       1.0      300
Shelby, AL...............           5.5          83.6       1.0       231      914       4.2       33
Tuscaloosa, AL...........           4.4          92.2       1.6       192      811      -0.4      326
Anchorage Borough, AK....           8.4         156.9       0.5       284    1,084       1.6      259
Maricopa, AZ.............          95.7       1,824.7       3.7        45      929       1.4      274
Pima, AZ.................          19.1         354.7       0.6       276      816       0.0      320
Benton, AR...............           5.9         111.7       4.8        12      949       2.4      178
                                                                                                     
Pulaski, AR..............          14.5         247.2       1.7       186      869       2.1      215
Washington, AR...........           5.8         101.3       4.2        22      786       2.3      193
Alameda, CA..............          59.6         734.5       3.3        71    1,289       2.3      193
Butte, CA................           8.0          79.1       1.8       172      731       3.8       53
Contra Costa, CA.........          30.9         349.0       2.4       128    1,168       3.2       91
Fresno, CA...............          32.5         375.9       2.2       143      772       3.3       82
Kern, CA.................          17.7         323.2      -0.5       325      828      -0.5      328
Los Angeles, CA..........         457.6       4,261.8       2.2       143    1,074       3.7       60
Marin, CA................          12.3         112.3       2.6       117    1,185       6.1        5
Monterey, CA.............          13.2         202.3       2.3       137      825       3.3       82
                                                                                                     
Orange, CA...............         112.3       1,524.0       3.3        71    1,077       2.1      215
Placer, CA...............          12.0         149.9       3.9        39      989       5.4        9
Riverside, CA............          57.0         659.5       4.8        12      781       3.0      117
Sacramento, CA...........          54.3         629.7       2.8       104    1,068       1.6      259
San Bernardino, CA.......          53.8         686.9       3.2        81      815       3.0      117
San Diego, CA............         104.5       1,384.0       2.9       101    1,071       4.2       33
San Francisco, CA........          59.2         684.1       5.2         8    1,712       1.4      274
San Joaquin, CA..........          17.1         238.6       4.2        22      834       4.0       44
San Luis Obispo, CA......          10.1         114.6       2.9       101      814       4.1       37
San Mateo, CA............          27.1         387.8       5.0        10    1,894       3.4       77
                                                                                                     
Santa Barbara, CA........          14.9         197.6       1.6       192      934       3.9       47
Santa Clara, CA..........          68.6       1,026.6       4.0        32    2,090       3.2       91
Santa Cruz, CA...........           9.4         103.4       2.3       137      888       6.1        5
Solano, CA...............          10.6         132.7       3.5        58      981       2.4      178
Sonoma, CA...............          19.3         200.6       2.8       104      935       4.7       19
Stanislaus, CA...........          14.8         183.5       3.2        81      840       4.3       30
Tulare, CA...............           9.5         158.9       1.7       186      685       3.6       64
Ventura, CA..............          25.5         313.4       1.5       204      961       1.6      259
Yolo, CA.................           6.4         102.8       1.1       227    1,006       3.1      104
Adams, CO................          10.1         194.1       4.1        25      952       3.0      117
                                                                                                     
Arapahoe, CO.............          21.0         318.6       2.9       101    1,117       1.3      279
Boulder, CO..............          14.4         173.8       2.7       112    1,158       3.1      104
Denver, CO...............          29.9         483.7       3.6        49    1,194       2.0      228
Douglas, CO..............          11.2         112.9       3.3        71    1,033      -1.0      333
El Paso, CO..............          18.2         259.7       3.5        58      876       1.9      241
Jefferson, CO............          19.2         230.2       2.8       104      992       4.5       25
Larimer, CO..............          11.3         149.5       3.7        45      892       3.8       53
Weld, CO.................           6.7         101.2      -1.3       331      861      -1.4      335
Fairfield, CT............          34.7         422.5       0.8       252    1,406       0.4      316
Hartford, CT.............          27.2         506.0       0.4       292    1,142       1.9      241
                                                                                                     
New Haven, CT............          23.5         361.0       0.0       313    1,021       3.2       91
New London, CT...........           7.3         122.6       0.2       307      943       1.6      259
New Castle, DE...........          18.8         284.0       1.9       162    1,066      -0.7      332
Washington, DC...........          38.2         743.6       1.4       211    1,667       2.3      193
Alachua, FL..............           6.8         124.4       1.9       162      805       2.0      228
Brevard, FL..............          15.0         193.9       1.9       162      873       2.5      165
Broward, FL..............          66.3         759.7       2.4       128      898       3.3       82
Collier, FL..............          12.9         128.7       4.0        32      815       1.2      286
Duval, FL................          27.7         474.0       3.6        49      909       2.0      228
Escambia, FL.............           8.0         126.6       1.5       204      760       3.5       72
                                                                                                     
Hillsborough, FL.........          39.4         641.6       3.6        49      914       2.0      228
Lake, FL.................           7.6          90.2       4.0        32      680       3.7       60
Lee, FL..................          20.4         236.2       5.5         5      766       3.1      104
Leon, FL.................           8.3         142.4       0.2       307      795       2.4      178
Manatee, FL..............          10.0         111.9       4.4        18      740       4.8       13
Marion, FL...............           8.1          96.4       1.3       217      658       2.0      228
Miami-Dade, FL...........          93.2       1,076.1       2.8       104      924       3.9       47
Okaloosa, FL.............           6.2          80.2       2.1       145      816       4.7       19
Orange, FL...............          38.7         765.8       4.0        32      854       4.1       37
Osceola, FL..............           6.2          85.1       5.4         6      671       2.8      138
                                                                                                     
Palm Beach, FL...........          52.7         559.3       3.6        49      924       2.2      204
Pasco, FL................          10.3         109.2       3.1        89      676       4.5       25
Pinellas, FL.............          31.4         407.8       2.8       104      846       2.3      193
Polk, FL.................          12.5         203.5       3.7        45      740       1.5      265
Sarasota, FL.............          15.2         158.1       3.6        49      777       3.2       91
Seminole, FL.............          14.1         174.9       3.6        49      803       3.2       91
Volusia, FL..............          13.7         160.7       3.0        95      697       5.0       11
Bibb, GA.................           4.5          82.9       1.4       211      760       3.0      117
Chatham, GA..............           8.4         146.7       3.2        81      821       2.5      165
Clayton, GA..............           4.4         117.0       3.3        71      912       2.5      165
                                                                                                     
Cobb, GA.................          23.2         334.6       3.1        89    1,006       2.2      204
DeKalb, GA...............          19.2         291.1       2.5       124      977       3.1      104
Fulton, GA...............          45.8         796.3       3.2        81    1,266       2.3      193
Gwinnett, GA.............          26.2         335.6       2.8       104      962       2.2      204
Hall, GA.................           4.6          80.5       4.3        19      825       3.3       82
Muscogee, GA.............           4.9          93.3      -0.7       328      761       1.9      241
Richmond, GA.............           4.8         104.7       2.1       145      819       2.4      178
Honolulu, HI.............          25.2         462.1       1.1       227      932       3.1      104
Ada, ID..................          14.1         219.2       4.1        25      841       1.1      294
Champaign, IL............           4.6          90.3      -0.2       319      877       3.4       77
                                                                                                     
Cook, IL.................         165.4       2,535.6       1.5       204    1,108       3.4       77
DuPage, IL...............          40.2         603.6       0.6       276    1,121       4.8       13
Kane, IL.................          14.5         209.2       0.5       284      867       4.5       25
Lake, IL.................          23.8         334.6       0.7       266    1,298      11.7        2
McHenry, IL..............           9.3          97.7       0.3       301      808       2.9      129
McLean, IL...............           4.0          84.7       0.5       284      895       0.3      317
Madison, IL..............           6.4          98.8      -0.4       324      794       3.1      104
Peoria, IL...............           4.9         100.7       0.7       266      910       3.8       53
St. Clair, IL............           5.8          93.3       1.0       231      787       2.3      193
Sangamon, IL.............           5.5         129.3      -0.5       325    1,001       1.1      294
                                                                                                     
Will, IL.................          17.1         224.7       1.9       162      858       2.4      178
Winnebago, IL............           7.1         128.1       0.0       313      811       1.8      247
Allen, IN................           8.7         183.8       2.4       128      796       2.7      147
Elkhart, IN..............           4.7         125.0       3.2        81      790       1.2      286
Hamilton, IN.............           8.9         134.8       3.9        39      913       2.6      154
Lake, IN.................          10.3         187.8       0.2       307      841      -0.6      329
Marion, IN...............          23.8         586.7       1.8       172      966       1.7      253
St. Joseph, IN...........           5.8         122.4       3.1        89      795       2.3      193
Tippecanoe, IN...........           3.3          82.1       0.9       243      831       3.6       64
Vanderburgh, IN..........           4.7         106.4       0.5       284      786       3.6       64
                                                                                                     
Black Hawk, IA...........           3.9          74.0      -2.5       335      808       0.9      305
Johnson, IA..............           4.1          82.1       1.0       231      920       3.0      117
Linn, IA.................           6.6         129.4       0.6       276      929       1.5      265
Polk, IA.................          16.8         289.6       0.8       252      981       2.4      178
Scott, IA................           5.5          91.6       0.8       252      799       4.7       19
Johnson, KS..............          22.4         334.6       1.9       162      968       1.3      279
Sedgwick, KS.............          12.7         247.5       1.0       231      831       0.8      311
Shawnee, KS..............           5.0          97.5       0.5       284      783       2.1      215
Wyandotte, KS............           3.4          90.4       2.3       137      942       3.2       91
Boone, KY................           4.3          81.9       4.3        19      826       2.6      154
                                                                                                     
Fayette, KY..............          10.6         190.8       2.6       117      879       4.4       29
Jefferson, KY............          24.8         453.3       1.6       192      933       3.9       47
Caddo, LA................           7.3         114.9       0.4       292      799       0.6      314
Calcasieu, LA............           5.0          92.0       3.3        71      881       0.9      305
East Baton Rouge, LA.....          14.9         270.6       0.5       284      914       3.3       82
Jefferson, LA............          13.6         192.5      -0.2       319      876       1.9      241
Lafayette, LA............           9.3         136.7      -3.9       337      919      -3.2      339
Orleans, LA..............          12.1         190.0       3.2        81      922      -0.2      322
St. Tammany, LA..........           7.8          86.2       3.8        42      833       1.8      247
Cumberland, ME...........          13.1         176.9       1.0       231      857       3.1      104
                                                                                                     
Anne Arundel, MD.........          15.0         261.8       2.4       128    1,048       2.9      129
Baltimore, MD............          21.2         371.9       1.2       221      980       1.9      241
Frederick, MD............           6.4          99.4       2.4       128      911       0.9      305
Harford, MD..............           5.7          90.7       1.4       211      923       2.6      154
Howard, MD...............           9.9         166.0       1.8       172    1,181      -1.3      334
Montgomery, MD...........          32.7         461.1       0.9       243    1,277       2.7      147
Prince George's, MD......          15.7         308.6       1.0       231    1,058       2.1      215
Baltimore City, MD.......          13.6         335.1      -0.2       319    1,152       2.3      193
Barnstable, MA...........           9.3         101.0       1.7       186      808       3.3       82
Bristol, MA..............          17.0         221.9       0.3       301      882       5.0       11
                                                                                                     
Essex, MA................          23.7         320.9       1.0       231    1,009       0.8      311
Hampden, MA..............          17.2         204.1       0.8       252      884       2.9      129
Middlesex, MA............          53.3         874.9       2.0       151    1,419       2.6      154
Norfolk, MA..............          24.7         344.2       1.4       211    1,112       2.5      165
Plymouth, MA.............          15.1         188.3       0.8       252      909       4.0       44
Suffolk, MA..............          27.5         639.1       2.0       151    1,559       3.1      104
Worcester, MA............          23.8         334.7       0.8       252      969       3.2       91
Genesee, MI..............           7.0         132.7       0.0       313      816       5.6        7
Ingham, MI...............           6.0         147.3       0.4       292      898       1.8      247
Kalamazoo, MI............           5.1         114.7       0.8       252      898       2.4      178
                                                                                                     
Kent, MI.................          14.1         373.7       3.3        71      875       3.6       64
Macomb, MI...............          17.5         317.3       2.4       128      950       1.1      294
Oakland, MI..............          38.8         709.0       1.6       192    1,061       3.0      117
Ottawa, MI...............           5.6         122.8       3.1        89      818       2.0      228
Saginaw, MI..............           4.0          84.8       1.0       231      777       2.4      178
Washtenaw, MI............           8.2         202.0       0.9       243    1,052       2.7      147
Wayne, MI................          30.6         700.9       0.9       243    1,059       3.1      104
Anoka, MN................           6.6         119.3       0.7       266      968       3.5       72
Dakota, MN...............           9.3         184.0       0.3       301      944       2.8      138
Hennepin, MN.............          37.1         888.5       2.0       151    1,198       2.0      228
                                                                                                     
Olmsted, MN..............           3.2          94.2       1.7       186    1,113       3.4       77
Ramsey, MN...............          12.7         330.0       1.2       221    1,073       1.7      253
St. Louis, MN............           5.1          97.7      -0.2       319      836       1.6      259
Stearns, MN..............           4.1          84.9       0.2       307      825       4.8       13
Washington, MN...........           5.2          79.4       2.8       104      810       3.6       64
Harrison, MS.............           4.4          83.2       0.6       276      701       1.2      286
Hinds, MS................           5.9         120.0       0.8       252      832       2.2      204
Boone, MO................           4.9          92.5       1.8       172      795       3.7       60
Clay, MO.................           5.4          99.2       5.1         9      856       3.0      117
Greene, MO...............           8.5         162.0       1.1       227      753       3.9       47
                                                                                                     
Jackson, MO..............          21.0         358.0       2.0       151      989       2.6      154
St. Charles, MO..........           8.9         141.2       4.8        12      774       1.2      286
St. Louis, MO............          35.8         593.3       1.6       192    1,004       0.9      305
St. Louis City, MO.......          12.6         228.3       1.9       162    1,045       1.6      259
Yellowstone, MT..........           6.4          81.5       2.4       128      845       4.7       19
Douglas, NE..............          18.9         333.2       2.1       145      928       4.7       19
Lancaster, NE............          10.2         167.3       1.6       192      797       3.8       53
Clark, NV................          53.9         913.4       3.5        58      843       2.4      178
Washoe, NV...............          14.4         205.1       4.3        19      877       2.5      165
Hillsborough, NH.........          12.3         197.5       1.3       217    1,031       1.5      265
                                                                                                     
Rockingham, NH...........          10.8         146.0       2.7       112      938       2.2      204
Atlantic, NJ.............           6.5         127.8      -2.8       336      814       2.5      165
Bergen, NJ...............          32.8         444.0       0.6       276    1,135       2.9      129
Burlington, NJ...........          10.9         197.9       1.1       227      994       3.0      117
Camden, NJ...............          11.9         198.5       2.0       151      943       4.8       13
Essex, NJ................          20.1         333.1       0.6       276    1,177       2.0      228
Gloucester, NJ...........           6.2         103.2       1.8       172      835       2.1      215
Hudson, NJ...............          14.2         244.8       3.2        81    1,280       1.0      300
Mercer, NJ...............          11.1         239.9       2.7       112    1,234       1.3      279
Middlesex, NJ............          21.8         404.6       1.0       231    1,142       2.1      215
                                                                                                     
Monmouth, NJ.............          19.9         255.5       2.6       117      932       1.7      253
Morris, NJ...............          16.8         286.4       1.6       192    1,380       2.4      178
Ocean, NJ................          12.8         163.4       2.7       112      766       1.7      253
Passaic, NJ..............          12.3         164.1      -0.6       327      944       2.6      154
Somerset, NJ.............          10.0         182.4       1.2       221    1,447       4.3       30
Union, NJ................          14.2         217.0       (5)        -     1,188       (5)       - 
Bernalillo, NM...........          18.1         320.1       1.2       221      842       1.3      279
Albany, NY...............          10.5         228.9       0.5       284    1,038       3.1      104
Bronx, NY................          18.7         297.9       0.3       301      938       2.4      178
Broome, NY...............           4.6          86.6      -1.6       333      753       2.2      204
                                                                                                     
Dutchess, NY.............           8.5         111.4       1.6       192      926      -0.6      329
Erie, NY.................          24.8         466.1       0.7       266      856       2.4      178
Kings, NY................          60.5         658.2       3.4        66      835       2.1      215
Monroe, NY...............          18.8         379.9       0.9       243      929       2.5      165
Nassau, NY...............          54.2         615.4       1.4       211    1,063       3.6       64
New York, NY.............         129.9       2,370.4       2.1       145    1,829       2.5      165
Oneida, NY...............           5.4         104.5       0.7       266      740      -0.3      323
Onondaga, NY.............          13.1         243.9       0.4       292      913       6.5        3
Orange, NY...............          10.3         139.7       0.9       243      807       3.9       47
Queens, NY...............          51.6         637.6       3.5        58      930       3.3       82
                                                                                                     
Richmond, NY.............           9.8         113.1       2.0       151      877       4.3       30
Rockland, NY.............          10.5         119.7       2.6       117    1,168      24.9        1
Saratoga, NY.............           5.9          83.4       2.4       128      864       2.0      228
Suffolk, NY..............          52.7         651.7       1.6       192    1,053       2.1      215
Westchester, NY..........          36.7         421.4       2.0       151    1,222       1.3      279
Buncombe, NC.............           8.6         125.2       3.4        66      760       4.0       44
Catawba, NC..............           4.3          83.5       1.8       172      746       4.2       33
Cumberland, NC...........           6.3         116.8       0.1       311      767       2.7      147
Durham, NC...............           8.0         190.5       1.7       186    1,231       2.9      129
Forsyth, NC..............           9.4         181.9       1.8       172      886      -0.3      323
                                                                                                     
Guilford, NC.............          14.3         277.3       2.5       124      857       1.5      265
Mecklenburg, NC..........          35.5         638.2       3.7        45    1,119       4.2       33
New Hanover, NC..........           7.7         107.7       3.8        42      769       2.8      138
Wake, NC.................          32.0         514.6       4.0        32      983       2.5      165
Cass, ND.................           6.9         116.9       0.8       252      910       1.3      279
Butler, OH...............           7.6         146.4       2.3       137      850       1.8      247
Cuyahoga, OH.............          35.5         713.1       0.7       266      985       1.1      294
Delaware, OH.............           4.9          84.8       0.8       252      929       1.0      300
Franklin, OH.............          30.7         722.9       2.1       145      982       3.5       72
Hamilton, OH.............          23.4         509.0       1.9       162    1,055       2.2      204
                                                                                                     
Lake, OH.................           6.2          94.7       0.3       301      795       1.5      265
Lorain, OH...............           6.1          96.4      -0.9       329      775       1.4      274
Lucas, OH................          10.1         208.7       1.8       172      839       1.2      286
Mahoning, OH.............           5.9          98.0      -1.6       333      707       3.8       53
Montgomery, OH...........          11.9         249.6       1.4       211      837       3.0      117
Stark, OH................           8.6         158.4       0.3       301      740      -2.1      338
Summit, OH...............          14.1         264.7       0.6       276      876       3.2       91
Warren, OH...............           4.7          88.6       3.1        89      854       3.4       77
Cleveland, OK............           5.5          82.0       2.0       151      719       1.1      294
Oklahoma, OK.............          27.2         451.6       1.0       231      934      -1.4      335
                                                                                                     
Tulsa, OK................          22.1         347.9       0.8       252      904       1.2      286
Clackamas, OR............          14.1         153.0       3.0        95      926       4.8       13
Jackson, OR..............           7.0          84.8       3.5        58      764       4.1       37
Lane, OR.................          11.7         147.7       2.6       117      775       2.9      129
Marion, OR...............          10.1         150.2       3.6        49      788       3.7       60
Multnomah, OR............          32.7         481.4       3.4        66    1,006       2.9      129
Washington, OR...........          18.3         275.3       2.5       124    1,288       6.4        4
Allegheny, PA............          35.5         687.5       0.4       292    1,051       2.6      154
Berks, PA................           8.9         171.3       1.8       172      866       1.5      265
Bucks, PA................          19.8         255.6       0.7       266      909       1.8      247
                                                                                                     
Butler, PA...............           5.0          85.6       0.4       292      920       3.5       72
Chester, PA..............          15.3         244.7       1.2       221    1,208       4.1       37
Cumberland, PA...........           6.3         131.2       2.7       112      883       2.0      228
Dauphin, PA..............           7.4         178.0       0.5       284      962       2.4      178
Delaware, PA.............          13.9         218.0       0.8       252    1,010       2.0      228
Erie, PA.................           7.1         126.0       0.9       243      775       2.8      138
Lackawanna, PA...........           5.8          97.3      -0.2       319      749       1.9      241
Lancaster, PA............          13.2         230.9       2.0       151      815       3.2       91
Lehigh, PA...............           8.6         185.2       1.5       204      938       1.4      274
Luzerne, PA..............           7.5         142.9      -0.1       317      779       2.6      154
                                                                                                     
Montgomery, PA...........          27.4         479.5       1.8       172    1,158       2.0      228
Northampton, PA..........           6.7         108.5       1.9       162      849       3.2       91
Philadelphia, PA.........          34.9         651.7       0.9       243    1,160       3.0      117
Washington, PA...........           5.5          87.3      -1.3       331      948       0.9      305
Westmoreland, PA.........           9.3         134.1       0.6       276      785       2.1      215
York, PA.................           9.0         176.2       2.0       151      849       3.2       91
Providence, RI...........          17.5         283.8       1.0       231      961       2.6      154
Charleston, SC...........          13.8         235.9       3.4        66      873       4.1       37
Greenville, SC...........          13.8         257.7       3.5        58      859       2.4      178
Horry, SC................           8.6         121.1       3.0        95      598       3.6       64
                                                                                                     
Lexington, SC............           6.4         112.8       4.1        25      741       2.1      215
Richland, SC.............           9.6         214.1       2.1       145      833       2.3      193
Spartanburg, SC..........           6.0         128.1       3.0        95      814       2.8      138
York, SC.................           5.1          84.9       4.1        25      763       0.5      315
Minnehaha, SD............           7.0         123.5       1.5       204      850       3.3       82
Davidson, TN.............          20.7         459.2       3.3        71    1,030       5.5        8
Hamilton, TN.............           9.2         194.7       3.0        95      865       4.5       25
Knox, TN.................          11.6         233.2       1.6       192      834       2.3      193
Rutherford, TN...........           5.1         117.2       3.9        39      843       2.1      215
Shelby, TN...............          19.9         483.8       1.5       204      979       1.5      265
                                                                                                     
Williamson, TN...........           7.8         116.9       6.5         1    1,101       5.2       10
Bell, TX.................           5.1         116.2       4.2        22      823       2.6      154
Bexar, TX................          38.2         821.4       3.3        71      874       2.2      204
Brazoria, TX.............           5.4         103.4       4.0        32      992       2.8      138
Brazos, TX...............           4.3          99.8       4.5        16      734      -0.4      326
Cameron, TX..............           6.4         135.7       1.2       221      615       2.2      204
Collin, TX...............          22.4         366.9       4.9        11    1,126       2.5      165
Dallas, TX...............          73.2       1,616.8       4.0        32    1,157       1.4      274
Denton, TX...............          13.4         221.4       6.1         3      885       3.0      117
Ector, TX................           4.0          72.0      -8.3       340    1,037      -4.9      340
                                                                                                     
El Paso, TX..............          14.6         292.0       3.1        89      698       2.6      154
Fort Bend, TX............          11.9         170.6       3.6        49      949      -0.3      323
Galveston, TX............           5.8         102.8       3.5        58      853       3.5       72
Gregg, TX................           4.3          76.1      -4.2       338      846      -1.5      337
Harris, TX...............         111.2       2,287.6       0.8       252    1,240       0.1      319
Hidalgo, TX..............          11.9         243.9       2.5       124      624       1.0      300
Jefferson, TX............           5.9         123.1       0.4       292    1,003       2.7      147
Lubbock, TX..............           7.4         135.0       2.4       128      779       2.1      215
McLennan, TX.............           5.1         108.1       1.9       162      792       2.2      204
Midland, TX..............           5.4          86.8      -7.3       339    1,177      -6.7      341
                                                                                                     
Montgomery, TX...........          10.5         165.3       3.2        81      957       0.0      320
Nueces, TX...............           8.2         163.0       0.8       252      861       1.2      286
Potter, TX...............           4.0          79.1       1.6       192      804       0.2      318
Smith, TX................           6.1         100.2       4.1        25      810      -0.6      329
Tarrant, TX..............          41.1         844.9       2.6       117      967       2.5      165
Travis, TX...............          37.3         692.4       4.6        15    1,122       3.9       47
Webb, TX.................           5.1          97.7       2.6       117      658       0.9      305
Williamson, TX...........           9.5         150.8       4.5        16      937       1.7      253
Davis, UT................           8.0         119.8       3.5        58      785       2.7      147
Salt Lake, UT............          42.4         649.8       3.6        49      933       4.1       37
                                                                                                     
Utah, UT.................          14.6         211.7       6.3         2      767       2.8      138
Weber, UT................           5.8          98.7       3.3        71      744       3.2       91
Chittenden, VT...........           6.6         101.7       0.9       243      928       1.8      247
Arlington, VA............           9.4         171.3       3.0        95    1,587       1.5      265
Chesterfield, VA.........           8.6         131.8       5.7         4      833       1.1      294
Fairfax, VA..............          37.1         589.0       2.0       151    1,462       1.2      286
Henrico, VA..............          11.2         188.3       4.1        25      945       2.5      165
Loudoun, VA..............          11.6         156.0       5.3         7    1,126       2.0      228
Prince William, VA.......           9.1         123.3       4.1        25      860       2.1      215
Alexandria City, VA......           6.7          96.4       1.6       192    1,372       2.2      204
                                                                                                     
Chesapeake City, VA......           6.0          97.3       0.4       292      766       2.8      138
Newport News City, VA....           3.8          97.3      -0.1       317      957       3.1      104
Norfolk City, VA.........           5.8         140.1       0.1       311    1,002       2.9      129
Richmond City, VA........           7.5         150.9       1.8       172    1,089       4.1       37
Virginia Beach City, VA..          11.9         174.0       1.5       204      767       2.5      165
Benton, WA...............           5.6          84.5       3.3        71      965       3.1      104
Clark, WA................          13.9         147.9       3.8        42      915       3.0      117
King, WA.................          84.3       1,292.1       3.4        66    1,463       1.0      300
Kitsap, WA...............           6.6          85.6       2.3       137      921       2.4      178
Pierce, WA...............          21.5         288.5       1.9       162      898       3.6       64
                                                                                                     
Snohomish, WA............          20.1         277.8       2.8       104    1,050       3.2       91
Spokane, WA..............          15.5         211.6       1.8       172      842       2.3      193
Thurston, WA.............           7.8         107.1       2.3       137      919       4.8       13
Whatcom, WA..............           7.1          84.9       1.8       172      801       2.7      147
Yakima, WA...............           7.7         121.3       (5)        -       679       2.9      129
Kanawha, WV..............           5.9         102.6      -1.2       330      839       1.3      279
Brown, WI................           6.7         152.3       1.0       231      856       3.8       53
Dane, WI.................          14.7         322.8       1.8       172      938       4.6       24
Milwaukee, WI............          25.7         484.9       0.0       313      925       2.8      138
Outagamie, WI............           5.1         105.4       1.3       217      835       3.3       82
                                                                                                     
Waukesha, WI.............          12.6         237.0       1.3       217      953       3.8       53
Winnebago, WI............           3.7          90.6       0.7       266      888       3.1      104
San Juan, PR.............          10.6         250.4       0.4       (6)      614       1.7      (6)
 
(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) Data do not meet BLS or state agency disclosure standards.
(6) 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 72.2 percent of
the total covered workers in the U.S.






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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               third quarter 
         County by NAICS supersector               2015                     Percent            Percent
                                               (thousands)      September   change,    Third   change,
                                                                  2015     September   quarter  third
                                                              (thousands)  2014-15(2)   2015   quarter
                                                                                              2014-15(2)


United States(3) ............................       9,633.8     140,442.2       1.9     $974       2.6
  Private industry...........................       9,335.3     119,146.1       2.2      965       2.7
    Natural resources and mining.............         138.2       2,071.5      -6.3    1,024      -4.7
    Construction.............................         770.3       6,645.3       4.0    1,084       4.2
    Manufacturing............................         343.0      12,338.5       0.7    1,170       1.8
    Trade, transportation, and utilities.....       1,927.7      26,664.0       2.1      823       2.6
    Information..............................         154.0       2,743.1       1.1    1,783       2.7
    Financial activities.....................         849.6       7,846.0       1.9    1,444       3.7
    Professional and business services.......       1,739.8      19,704.3       2.3    1,241       3.0
    Education and health services............       1,539.9      21,123.8       2.3      905       2.7
    Leisure and hospitality..................         810.2      15,377.8       3.0      413       3.5
    Other services...........................         829.3       4,303.4       1.4      666       3.7
  Government.................................         298.5      21,296.1       0.5    1,029       2.5

Los Angeles, CA..............................         457.6       4,261.8       2.2    1,074       3.7
  Private industry...........................         451.6       3,707.3       2.3    1,035       3.4
    Natural resources and mining.............           0.5           8.6      -2.1    1,344      -0.7
    Construction.............................          13.6         127.9       6.1    1,129       6.1
    Manufacturing............................          12.4         357.2      -1.5    1,167       2.8
    Trade, transportation, and utilities.....          53.7         803.0       1.8      876       2.5
    Information..............................           9.8         202.6       0.9    1,957       5.8
    Financial activities.....................          24.9         212.8       1.3    1,717       4.0
    Professional and business services.......          48.0         595.8       0.8    1,317       5.5
    Education and health services............         211.3         731.3       2.7      821       2.5
    Leisure and hospitality..................          31.6         488.8       2.9      591       2.6
    Other services...........................          27.8         147.2       0.9      691       5.8
  Government.................................           6.0         554.4       1.5    1,348       5.2

New York, NY.................................         129.9       2,370.4       2.1    1,829       2.5
  Private industry...........................         129.0       2,107.5       2.2    1,892       2.4
    Natural resources and mining.............           0.0           0.2      -4.3    1,928     -40.9
    Construction.............................           2.2          38.0       5.4    1,789       4.7
    Manufacturing............................           2.2          27.3       2.1    1,346       7.4
    Trade, transportation, and utilities.....          20.2         257.3      -0.9    1,276       1.4
    Information..............................           4.9         151.6       0.6    2,571       7.6
    Financial activities.....................          19.2         367.7       1.6    3,292       0.2
    Professional and business services.......          27.4         542.5       3.3    2,122       2.6
    Education and health services............           9.8         326.8       1.8    1,309       3.9
    Leisure and hospitality..................          13.7         284.4       2.3      854       4.0
    Other services...........................          20.4          99.7       0.7    1,098       4.6
  Government.................................           0.8         263.0       1.2    1,312       1.8

Cook, IL.....................................         165.4       2,535.6       1.5    1,108       3.4
  Private industry...........................         164.1       2,240.3       1.7    1,111       3.6
    Natural resources and mining.............           0.1           1.1      18.4    1,222      10.3
    Construction.............................          13.6          73.3       2.4    1,430       3.4
    Manufacturing............................           6.8         186.6       0.4    1,155       1.9
    Trade, transportation, and utilities.....          32.5         467.5       1.9      898       3.2
    Information..............................           2.8          55.0       2.2    1,640       0.8
    Financial activities.....................          16.5         188.0       0.6    1,923       4.6
    Professional and business services.......          35.2         465.6       1.3    1,425       5.4
    Education and health services............          17.1         432.6       1.5      939       1.8
    Leisure and hospitality..................          15.0         270.1       3.1      512       6.7
    Other services...........................          18.8          95.0      -0.1      876       3.7
  Government.................................           1.3         295.3       0.5    1,084       0.6

Harris, TX...................................         111.2       2,287.6       0.8    1,240       0.1
  Private industry...........................         110.7       2,023.3       0.6    1,252      -0.2
    Natural resources and mining.............           1.8          84.1     -11.5    2,990      -3.4
    Construction.............................           7.1         164.9       3.2    1,302       3.7
    Manufacturing............................           4.8         185.5      -7.3    1,459      -2.1
    Trade, transportation, and utilities.....          24.9         474.9       1.7    1,109       0.5
    Information..............................           1.2          27.4       0.5    1,393       1.0
    Financial activities.....................          11.5         120.4       0.6    1,570       4.7
    Professional and business services.......          22.5         394.5      -0.6    1,527       1.3
    Education and health services............          15.3         283.0       4.7    1,017       4.6
    Leisure and hospitality..................           9.4         222.4       5.3      440       5.0
    Other services...........................          11.7          65.3       2.6      800       6.4
  Government.................................           0.6         264.3       2.3    1,147       2.5

Maricopa, AZ.................................          95.7       1,824.7       3.7      929       1.4
  Private industry...........................          95.0       1,614.6       4.2      922       1.4
    Natural resources and mining.............           0.4           7.5       7.0      926       0.2
    Construction.............................           7.1          97.1       3.6      966       2.8
    Manufacturing............................           3.2         115.8       0.5    1,307       0.0
    Trade, transportation, and utilities.....          19.7         361.0       3.8      856       2.9
    Information..............................           1.5          34.2       2.8    1,226      -0.6
    Financial activities.....................          11.0         160.6       4.9    1,190       4.1
    Professional and business services.......          21.7         307.4       3.5    1,002       0.2
    Education and health services............          10.8         273.5       4.1      948       1.4
    Leisure and hospitality..................           7.5         199.3       4.4      435       0.5
    Other services...........................           6.1          49.0       1.9      670       3.4
  Government.................................           0.7         210.2       0.4      989       1.7

Dallas, TX...................................          73.2       1,616.8       4.0    1,157       1.4
  Private industry...........................          72.7       1,445.7       4.2    1,161       1.5
    Natural resources and mining.............           0.6           9.2      -2.8    3,478      -9.2
    Construction.............................           4.2          82.0       6.2    1,141       5.0
    Manufacturing............................           2.7         105.9      -0.4    1,256      -0.6
    Trade, transportation, and utilities.....          15.8         330.0       5.6    1,051       2.1
    Information..............................           1.4          48.5       1.0    1,752       2.0
    Financial activities.....................           8.9         157.7       2.7    1,563       2.2
    Professional and business services.......          16.4         328.5       4.5    1,338       3.4
    Education and health services............           9.0         187.8       4.2    1,048       1.4
    Leisure and hospitality..................           6.3         154.4       6.6      477      -0.6
    Other services...........................           6.9          41.0       2.0      760      -0.8
  Government.................................           0.5         171.1       2.4    1,126       1.1

Orange, CA...................................         112.3       1,524.0       3.3    1,077       2.1
  Private industry...........................         110.9       1,384.4       3.3    1,062       2.0
    Natural resources and mining.............           0.2           3.0      -8.9      831       1.7
    Construction.............................           6.6          92.1       8.9    1,221       4.6
    Manufacturing............................           4.9         155.4       0.1    1,321       1.9
    Trade, transportation, and utilities.....          16.8         255.4       1.2      943       1.3
    Information..............................           1.3          25.0       0.6    1,654       1.2
    Financial activities.....................          10.9         117.0       3.6    1,666       5.2
    Professional and business services.......          20.5         282.5       1.5    1,284       0.8
    Education and health services............          29.0         193.7       4.2      907       2.6
    Leisure and hospitality..................           8.1         205.0       4.0      468       2.9
    Other services...........................           7.0          44.5       2.4      674       4.3
  Government.................................           1.4         139.6       3.7    1,237       2.9

San Diego, CA................................         104.5       1,384.0       2.9    1,071       4.2
  Private industry...........................         102.7       1,157.0       3.2    1,031       4.7
    Natural resources and mining.............           0.7           9.7      -7.3      630       1.3
    Construction.............................           6.5          71.5       9.5    1,115       3.6
    Manufacturing............................           3.1         104.8       2.6    1,404      -0.1
    Trade, transportation, and utilities.....          14.3         215.7       1.2      813       3.7
    Information..............................           1.2          23.5      -4.4    1,773       1.6
    Financial activities.....................           9.6          70.9       2.9    1,343       6.3
    Professional and business services.......          18.2         229.5       2.4    1,541       8.4
    Education and health services............          29.0         187.4       3.5      900       3.1
    Leisure and hospitality..................           7.8         185.3       2.6      482       5.9
    Other services...........................           7.4          50.3       1.8      582       2.6
  Government.................................           1.8         227.0       1.4    1,287       2.4

King, WA.....................................          84.3       1,292.1       3.4    1,463       1.0
  Private industry...........................          83.8       1,129.2       3.4    1,487       0.9
    Natural resources and mining.............           0.4           3.1      18.1    1,196      -5.2
    Construction.............................           6.2          64.8       7.0    1,263       4.2
    Manufacturing............................           2.4         107.0      -0.1    1,568       1.9
    Trade, transportation, and utilities.....          14.6         243.4       4.2    1,186       5.3
    Information..............................           2.1          91.3       3.8    4,798      -5.6
    Financial activities.....................           6.5          66.7       1.8    1,556       4.1
    Professional and business services.......          16.4         216.6       5.2    1,538       2.1
    Education and health services............          19.4         161.5       (4)      964       (4)
    Leisure and hospitality..................           6.9         132.1       4.4      545       6.0
    Other services...........................           8.9          42.7       3.0      821       4.5
  Government.................................           0.5         162.9       3.2    1,299       2.9

Miami-Dade, FL...............................          93.2       1,076.1       2.8      924       3.9
  Private industry...........................          92.8         940.9       3.2      905       3.9
    Natural resources and mining.............           0.5           7.0      -6.2      572       0.0
    Construction.............................           5.7          40.4       9.3      937       6.4
    Manufacturing............................           2.7          39.1       3.2      860       4.2
    Trade, transportation, and utilities.....          25.9         274.1       2.0      838       4.2
    Information..............................           1.4          17.6      -2.6    1,444       2.8
    Financial activities.....................           9.9          73.7       3.5    1,421       3.9
    Professional and business services.......          20.0         147.7       5.0    1,080       2.8
    Education and health services............           9.9         168.7       2.5      953       4.4
    Leisure and hospitality..................           6.8         131.0       2.6      548       5.0
    Other services...........................           8.0          39.8       5.1      586       1.9
  Government.................................           0.3         135.2      -0.1    1,058       4.1
 
(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.
(4) Data do not meet BLS or state agency disclosure standards.
  
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,
third quarter 2015


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             third quarter
            State                2015                     Percent           Percent
                             (thousands)      September   change,   Third   change,
                                                2015     September  quarter  third
                                             (thousands)  2014-15    2015   quarter
                                                                            2014-15

                                                                                   
United States(2)...........       9,633.8     140,442.2       1.9     $974      2.6
                                                                                   
Alabama....................         119.6       1,893.6       1.2      830      1.8
Alaska.....................          22.5         346.4       0.4    1,041      2.2
Arizona....................         152.6       2,613.9       2.9      889      1.5
Arkansas...................          88.3       1,193.4       1.9      756      2.6
California.................       1,436.2      16,474.4       3.0    1,134      3.4
Colorado...................         187.9       2,513.0       2.9    1,006      2.4
Connecticut................         116.5       1,668.3       0.2    1,147      2.0
Delaware...................          30.6         436.3       2.1      963      0.3
District of Columbia.......          38.2         743.6       1.4    1,667      2.3
Florida....................         644.2       8,023.2       3.5      852      3.1
                                                                                   
Georgia....................         291.9       4,171.1       2.8      916      2.8
Hawaii.....................          39.8         635.4       1.4      896      3.1
Idaho......................          55.9         680.3       3.3      736      2.1
Illinois...................         432.2       5,888.6       1.3    1,020      3.9
Indiana....................         160.3       2,971.7       1.6      818      2.4
Iowa.......................         101.2       1,535.9       0.4      823      3.0
Kansas.....................          87.6       1,370.9       0.6      809      1.8
Kentucky...................         122.3       1,852.5       1.4      804      2.9
Louisiana..................         127.4       1,926.3      -0.2      858      0.7
Maine......................          51.3         609.7       0.7      779      3.3
                                                                                   
Maryland...................         167.6       2,607.8       1.3    1,067      2.4
Massachusetts..............         241.6       3,446.9       1.4    1,197      3.0
Michigan...................         242.0       4,203.0       1.6      921      2.7
Minnesota..................         159.4       2,800.7       1.4      990      2.6
Mississippi................          72.1       1,118.9       1.2      706      1.3
Missouri...................         193.3       2,737.9       1.9      846      2.2
Montana....................          45.5         457.9       1.9      759      3.7
Nebraska...................          72.6         964.0       1.4      811      4.2
Nevada.....................          79.0       1,254.5       3.2      862      2.5
New Hampshire..............          51.3         642.8       1.5      952      2.7
                                                                                   
New Jersey.................         265.4       3,933.9       1.4    1,116      2.6
New Mexico.................          57.0         809.2       0.6      798      1.3
New York...................         639.5       9,065.4       1.8    1,180      3.1
North Carolina.............         267.8       4,194.1       2.5      863      3.0
North Dakota...............          32.3         438.0      -3.8      956     -2.3
Ohio.......................         291.4       5,282.7       1.2      878      1.9
Oklahoma...................         109.4       1,598.0       0.2      825      0.0
Oregon.....................         144.8       1,812.8       3.0      924      4.4
Pennsylvania...............         353.4       5,722.1       0.8      961      2.5
Rhode Island...............          36.6         477.4       1.2      919      2.6
                                                                                   
South Carolina.............         123.5       1,959.7       2.9      788      2.6
South Dakota...............          32.6         419.5       0.9      756      3.1
Tennessee..................         150.8       2,850.6       2.7      864      3.2
Texas......................         640.7      11,681.0       2.1      999      1.1
Utah.......................          94.1       1,353.9       3.7      829      3.2
Vermont....................          24.8         308.2       0.5      829      3.0
Virginia...................         258.8       3,759.7       2.5    1,014      2.5
Washington.................         235.4       3,187.6       2.5    1,111      2.2
West Virginia..............          50.1         702.4      -1.1      785      0.9
Wisconsin..................         168.5       2,815.7       0.9      834      3.5
                                                                                   
Wyoming....................          26.2         287.4      -1.5      866     -1.1
                                                                                   
Puerto Rico................          45.4         891.1      -0.7      512      1.4
Virgin Islands.............           3.4          36.8      -2.1      738      2.1
 
(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: March 09, 2016