County Employment and Wages News Release

For release 10:00 a.m. (EST), Wednesday, December 7, 2016	USDL-16-2253

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

COUNTY EMPLOYMENT AND WAGES
Second Quarter 2016

From June 2015 to June 2016, employment increased in 291 of the 344 largest U.S. counties, the U.S. 
Bureau of Labor Statistics reported today. Williamson, Tenn., had the largest percentage increase with a 
gain of 6.7 percent over the year, above the national job growth rate of 1.5 percent. Within Williamson, 
the largest employment increase occurred in professional and business services, which gained 3,033 jobs 
over the year (9.6 percent). Midland, 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 Midland, natural 
resources and mining had the largest decrease in employment, with a loss of 2,767 jobs (-13.1 percent).
County employment and wage data are from the Quarterly Census of Employment and Wages (QCEW) 
program, which provides the only detailed quarterly and annual universe count of establishments, 
employment, and wages at the county, MSA, state, and national levels by detailed industry. These data 
are published within 6 months following the end of each quarter.

The U.S. average weekly wage increased 2.2 percent over the year, growing to $989 in the second 
quarter of 2016. McLean, Ill., had the largest over-the-year percentage increase in average weekly wages 
with a gain of 21.0 percent. Within McLean, an average weekly wage gain of $739 (42.2 percent) in 
financial activities made the largest contribution to the county’s increase in average weekly wages.
Ventura, Calif., experienced the largest percentage decrease in average weekly wages with a loss of 8.4 
percent over the year. Within Ventura, manufacturing had the largest impact on the county’s average 
weekly wage decline with a decrease of $912 (-34.4 percent) over the year.

Large County Employment

In June 2016, national employment was 142.7 million (as measured by the QCEW program). Over the 
year, employment increased 1.5 percent, or 2.1 million. In June 2016, the 344 U.S. counties with 75,000 
or more jobs accounted for 72.5 percent of total U.S. employment and 77.6 percent of total wages. These 
344 counties had a net job growth of 1.7 million over the year, accounting for 82.0 percent of the overall 
U.S. employment increase. The five counties with the largest increases in employment levels had a 
combined over-the-year employment gain of 254,900 jobs, which was 12.1 percent of the overall job 
increase for the U.S. (See table A.)

Employment declined in 46 of the largest counties from June 2015 to June 2016. Midland, Texas, had 
the largest over-the-year percentage decrease in employment (-8.3 percent), followed by Lafayette, La.; 
Gregg, Texas; Peoria, Ill.; McLean, Ill.; and Washington, Pa. (See table 1.)

Table A.  Large counties ranked by June 2016 employment, June 2015-16 employment increase, and 
June 2015-16 percent increase in employment 

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2016 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |            June 2015-16          |            June 2015-16
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           142,717.2| United States             2,100.9| United States                 1.5
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,337.3| Los Angeles, Calif.          76.7| Williamson, Tenn.             6.7
 Cook, Ill.                2,584.0| Maricopa, Ariz.              51.5| Utah, Utah                    6.5
 New York, N.Y.            2,415.6| Dallas, Texas                46.2| Loudoun, Va.                  5.2
 Harris, Texas             2,272.1| King, Wash.                  43.8| Williamson, Texas             4.7
 Maricopa, Ariz.           1,827.4| New York, N.Y.               36.7| Rutherford, Tenn.             4.6
 Dallas, Texas             1,649.4| Fulton, Ga.                  31.2| Denton, Texas                 4.6
 Orange, Calif.            1,557.3| Clark, Nev.                  30.7| Lee, Fla.                     4.5
 San Diego, Calif.         1,405.5| Santa Clara, Calif.          30.0| Seminole, Fla.                4.5
 King, Wash.               1,326.1| Orange, Calif.               28.4| Clay, Mo.                     4.5
 Miami-Dade, Fla.          1,088.1| San Diego, Calif.            27.6| York, S.C.                    4.5
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $989, a 2.2 percent increase, during the year ending in 
the second quarter of 2016. Among the 344 largest counties, 304 had over-the-year increases in average 
weekly wages. McLean, Ill., had the largest percentage wage increase among the largest U.S. counties 
(21.0 percent). (See table B.)

Of the 344 largest counties, 36 experienced over-the-year decreases in average weekly wages. Ventura, 
Calif., had the largest percentage decrease in average weekly wages (-8.4 percent), followed by Forsyth, 
N.C.; Lafayette, La.; Gregg, Texas; and Midland, Texas. (See table 1.)

Table B.  Large counties ranked by second quarter 2016 average weekly wages, second quarter 2015-16
increase in average weekly wages, and second quarter 2015-16 percent increase in average weekly wages 

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
        second quarter 2016       |    wage, second quarter 2015-16  |        weekly wage, second
                                  |                                  |          quarter 2015-16
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $989| United States                 $21| United States                 2.2
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,252| McLean, Ill.                 $201| McLean, Ill.                 21.0
 San Mateo, Calif.           1,871| Santa Clara, Calif.           112| Elkhart, Ind.                 8.5
 New York, N.Y.              1,866| King, Wash.                   104| King, Wash.                   8.1
 San Francisco, Calif.       1,806| Washington, Ore.               89| Washington, Ore.              7.4
 Washington, D.C.            1,623| Somerset, N.J.                 74| Albany, N.Y.                  7.0
 Suffolk, Mass.              1,571| San Francisco, Calif.          72| Benton, Ark.                  6.5
 Arlington, Va.              1,559| Albany, N.Y.                   71| Nassau, N.Y.                  6.4
 Fairfield, Conn.            1,535| Nassau, N.Y.                   70| Ingham, Mich.                 6.0
 Somerset, N.J.              1,508| Elkhart, Ind.                  69| Tulare, Calif.                5.8
 Fairfax, Va.                1,492| Benton, Ark.                   61| Napa, Calif.                  5.6
                                  |                                  | Kane, Ill.                    5.6
--------------------------------------------------------------------------------------------------------

Ten Largest U.S. Counties

Among the 10 largest counties, 9 had over-the-year percentage increases in employment in June 2016.
King, Wash., had the largest gain (3.4 percent). Within King, trade, transportation, and utilities had the 
largest over-the-year employment level increase, with a gain of 10,557 jobs, or 4.4 percent. Harris, 
Texas, had the only percentage decrease in employment among the 10 largest counties (-0.8 percent).
(See table 2.)

Average weekly wages increased over the year in 8 of the 10 largest U.S. counties. King, Wash., also 
experienced the largest percentage gain in average weekly wages (8.1 percent). Within King, trade, 
transportation, and utilities had the largest impact on the county’s average weekly wage growth. Within 
trade, transportation, and utilities, average weekly wages increased by $257, or 21.9 percent, over the 
year. Harris, Texas, had the only percentage loss in average weekly wages among the 10 largest counties 
(-0.1 percent).

For More Information

The tables included in this release contain data for the nation and for the 344 U.S. counties with annual 
average employment levels of 75,000 or more in 2015. June 2016 employment and 2016 second quarter 
average weekly wages for all states are provided in table 3 of this release.

The data are derived from reports submitted by every employer subject to unemployment insurance (UI) 
laws. The 9.7 million employer reports cover 142.7 million full- and part-time workers. Data for the 
second quarter of 2016 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 issue QCEW news releases targeted to local data users. For links to these 
releases, see www.bls.gov/cew/cewregional.htm.

_____________
The County Employment and Wages release for third quarter 2016 is scheduled to be released on 
Tuesday, March 7, 2017.






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 2016 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 345 counties 
presented in this release were derived using 2015 preliminary annual averages of employment. For 
2016 data, four counties have been added to the publication tables: Merced, Calif.; Napa, Calif.; 
Bay, Fla.; and Merrimack, N.H. These counties will be included in all 2016 quarterly releases. Two 
counties, Black Hawk, Iowa, and Ector, Texas, which were published in the 2015 releases, will be 
excluded from this and future 2016 releases because their 2015 annual average employment levels 
were less than 75,000. The counties in table 2 are selected and sorted each year based on the annual 
average employment from the preceding year.

The preliminary QCEW data presented in this release may differ from data released by the 
individual states. These potential differences result from the states' 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 9.7   |  ministrative records|  ments
            |  million establish- |  submitted by 7.7    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2016    |  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  |  -Within 6 months   |  -7 months after the |  -Usually first Friday
            |   after the end of  |   end of each quarter|   of following month
            |   each quarter      |                      |
 -----------|---------------------|----------------------|------------------------
 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 9.5 
million employer reports of employment and wages submitted by states to the BLS in 2015. 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 2015, UI and UCFE programs 
covered workers in 139.5 million jobs. The estimated 134.4 million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.5 percent of civilian wage and salary 
employment. Covered workers received $7.385 trillion in pay, representing 94.0 percent of the 
wage and salary component of personal income and 40.9 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 2015 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 2015 edition 
of this publication, which was published in September 2016, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2016 version of this news release. Tables and additional content from the 2015 edition 
of Employment and Wages Annual Averages Online are now available at 
http://www.bls.gov/cew/cewbultn15.htm. The 2016 edition of Employment and Wages Annual 
Averages Online will be available in September 2017.

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 345 largest counties,
second quarter 2016

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2016          June      change,      by    Second    change,      by
                            (thousands)       2016       June     percent  quarter   second    percent
                                          (thousands) 2015-16(3)   change    2016    quarter    change
                                                                                   2015-16(3)

United States(4).........       9,741.4     142,717.2       1.5        -      $989       2.2       -

Jefferson, AL............          18.1         341.2       0.6       257      967       2.3      172
Madison, AL..............           9.4         191.7       2.7        76    1,050      -0.2      311
Mobile, AL...............           9.9         170.3       1.4       179      844       2.2      181
Montgomery, AL...........           6.4         132.0       1.7       148      834       1.5      241
Shelby, AL...............           5.6          84.5       0.6       257      922       2.8      107
Tuscaloosa, AL...........           4.4          91.2      -0.2       303      811       0.1      304
Anchorage Borough, AK....           8.3         152.3      -2.1       335    1,050      -1.8      333
Maricopa, AZ.............          94.8       1,827.4       2.9        66      970       2.2      181
Pima, AZ.................          18.7         351.9       1.1       204      827       0.0      305
Benton, AR...............           6.1         115.3       2.8        69      994       6.5        6

Pulaski, AR..............          14.4         247.5       1.3       188      896       1.8      224
Washington, AR...........           5.9         104.2       3.4        36      809       3.5       66
Alameda, CA..............          61.1         753.8       2.4        95    1,301       3.4       73
Butte, CA................           8.2          80.6       2.2       112      749       3.0      100
Contra Costa, CA.........          31.5         361.2       3.2        48    1,203       3.5       66
Fresno, CA...............          33.5         383.4       2.6        84      775       4.0       52
Kern, CA.................          18.0         315.3       1.2       200      824       2.0      201
Los Angeles, CA..........         467.7       4,337.3       1.8       142    1,079       2.8      107
Marin, CA................          12.4         115.3       1.4       179    1,268       2.8      107
Merced, CA...............           6.3          78.0       1.6       160      761       5.5       12

Monterey, CA.............          13.5         204.4       2.2       112      839       4.1       47
Napa, CA.................           5.8          77.5       0.6       257      977       5.6       10
Orange, CA...............         114.8       1,557.3       1.9       134    1,103       1.8      224
Placer, CA...............          12.4         157.2       4.3        12      997       4.2       41
Riverside, CA............          59.5         688.0       3.8        23      811      -1.6      330
Sacramento, CA...........          55.3         639.5       2.9        66    1,069       2.7      122
San Bernardino, CA.......          55.6         703.7       2.5        87      843       2.7      122
San Diego, CA............         106.7       1,405.5       2.0       128    1,073       0.0      305
San Francisco, CA........          59.7         700.3       4.0        18    1,806       4.2       41
San Joaquin, CA..........          17.4         238.4       1.6       160      829       4.3       35

San Luis Obispo, CA......          10.2         116.0       2.1       125      836       4.6       28
San Mateo, CA............          27.5         390.7       2.8        69    1,871      -0.8      321
Santa Barbara, CA........          15.2         197.7       0.1       287      947      -0.7      320
Santa Clara, CA..........          70.2       1,047.1       3.0        59    2,252       5.2       17
Santa Cruz, CA...........           9.5         107.8       1.4       179      902       4.6       28
Solano, CA...............          10.9         136.8       2.5        87    1,014       1.4      246
Sonoma, CA...............          19.6         202.6       2.3       105      936       4.9       21
Stanislaus, CA...........          14.9         185.4       3.0        59      819       1.9      216
Tulare, CA...............           9.9         165.1       1.4       179      706       5.8        9
Ventura, CA..............          26.1         321.1       0.5       270      986      -8.4      344

Yolo, CA.................           6.5         100.7       1.5       169    1,058       5.5       12
Adams, CO................          10.4         200.6       3.0        59      956       2.7      122
Arapahoe, CO.............          21.3         323.5       1.9       134    1,118       2.4      156
Boulder, CO..............          14.7         178.2       2.3       105    1,140       0.2      302
Denver, CO...............          30.6         495.0       2.4        95    1,175      -0.3      313
Douglas, CO..............          11.4         119.2       2.2       112    1,084      -3.0      338
El Paso, CO..............          18.6         266.7       3.1        53      877       1.6      235
Jefferson, CO............          19.4         235.7       1.9       134    1,004       2.4      156
Larimer, CO..............          11.6         155.6       3.6        32      866       2.6      133
Weld, CO.................           6.9         100.2      -1.3       329      849      -1.8      333

Fairfield, CT............          35.0         431.6       0.1       287    1,535       2.5      146
Hartford, CT.............          27.4         511.2      -0.4       308    1,194       2.6      133
New Haven, CT............          23.7         365.2       0.3       276    1,045       3.7       59
New London, CT...........           7.4         124.2      -0.1       298    1,004       4.4       31
New Castle, DE...........          19.4         287.5       0.6       257    1,099      -1.7      331
Washington, DC...........          38.1         756.0       1.7       148    1,623       1.1      265
Alachua, FL..............           7.0         124.1       2.4        95      855       3.4       73
Bay, FL..................           5.5          78.6       1.7       148      730       3.4       73
Brevard, FL..............          15.2         199.4       3.2        48      875       1.9      216
Broward, FL..............          67.6         770.4       2.2       112      926       2.1      189

Collier, FL..............          13.3         131.4       4.0        18      868       2.7      122
Duval, FL................          28.5         484.2       3.0        59      933       2.1      189
Escambia, FL.............           8.0         128.5       2.4        95      784       2.6      133
Hillsborough, FL.........          40.5         656.9       3.4        36      950       3.1       93
Lake, FL.................           7.8          88.7       3.5        35      681       2.4      156
Lee, FL..................          21.0         242.0       4.5         7      803       3.6       61
Leon, FL.................           8.5         143.7       1.4       179      816       2.1      189
Manatee, FL..............          10.3         114.5       2.4        95      776       3.5       66
Marion, FL...............           8.1          98.3       3.4        36      718       5.4       14
Miami-Dade, FL...........          95.7       1,088.1       2.5        87      958       2.6      133

Okaloosa, FL.............           6.3          82.0       3.1        53      828       3.1       93
Orange, FL...............          40.3         782.5       2.8        69      867       2.4      156
Osceola, FL..............           6.5          86.4       4.1        17      692       1.3      254
Palm Beach, FL...........          54.2         580.6       4.2        15      963       2.0      201
Pasco, FL................          10.5         106.4       3.9        20      734       2.5      146
Pinellas, FL.............          32.1         415.8       2.2       112      876       3.1       93
Polk, FL.................          12.8         203.1       2.6        84      768       4.3       35
Sarasota, FL.............          15.4         159.2       2.4        95      816       0.5      296
Seminole, FL.............          14.5         181.5       4.5         7      847       2.7      122
Volusia, FL..............          13.9         163.7       3.8        23      730       2.4      156

Bibb, GA.................           4.5          81.5       1.7       148      772       2.3      172
Chatham, GA..............           8.7         149.6       2.5        87      831       1.1      265
Clayton, GA..............           4.5         120.3       2.8        69      934       2.8      107
Cobb, GA.................          23.9         346.4       3.0        59    1,036       2.0      201
DeKalb, GA...............          19.7         294.3       1.6       160    1,017       2.7      122
Fulton, GA...............          47.1         823.3       3.9        20    1,287       2.6      133
Gwinnett, GA.............          27.0         344.6       3.2        48      964       2.7      122
Hall, GA.................           4.7          81.6       2.1       125      810       2.5      146
Muscogee, GA.............           4.9          92.4      -0.4       308      775       2.0      201
Richmond, GA.............           4.8         104.0       1.0       218      820       2.1      189

Honolulu, HI.............          25.5         468.3       0.8       238      942       3.4       73
Ada, ID..................          14.7         227.6       4.3        12      858       3.2       87
Champaign, IL............           4.3          89.8      -1.9       333      857       2.6      133
Cook, IL.................         151.8       2,584.0       0.9       229    1,146       2.6      133
DuPage, IL...............          37.8         619.7       0.4       275    1,118       1.2      259
Kane, IL.................          13.6         210.1      -1.0       324      880       5.6       10
Lake, IL.................          22.2         339.6      -0.5       312    1,263       1.1      265
McHenry, IL..............           8.7          99.5       1.0       218      824       4.2       41
McLean, IL...............           3.8          83.1      -2.5       338    1,159      21.0        1
Madison, IL..............           5.9          97.3      -0.9       322      779      -0.6      317

Peoria, IL...............           4.6         100.0      -3.2       340      928       2.7      122
St. Clair, IL............           5.4          92.5       0.0       292      767       0.9      277
Sangamon, IL.............           5.2         129.7      -1.5       330      996       1.4      246
Will, IL.................          16.0         233.4       1.6       160      878       2.6      133
Winnebago, IL............           6.6         128.4      -1.6       332      831       2.3      172
Allen, IN................           8.8         183.5       0.0       292      804       5.0       20
Elkhart, IN..............           4.7         128.6       2.3       105      885       8.5        2
Hamilton, IN.............           9.1         138.4       3.1        53      927       2.0      201
Lake, IN.................          10.3         186.9      -0.7       317      838       1.1      265
Marion, IN...............          23.7         590.2       0.8       238      981       2.4      156

St. Joseph, IN...........           5.7         123.2       1.5       169      798       3.2       87
Tippecanoe, IN...........           3.4          82.6       1.5       169      852       4.5       30
Vanderburgh, IN..........           4.8         107.4       0.8       238      790       0.3      300
Johnson, IA..............           4.1          82.9       1.3       188      916       2.0      201
Linn, IA.................           6.6         131.8      -0.3       306      946       2.5      146
Polk, IA.................          17.0         297.2       1.6       160      974       3.2       87
Scott, IA................           5.6          91.6      -0.6       314      794       1.4      246
Johnson, KS..............          23.1         338.7       0.3       276    1,020       0.0      305
Sedgwick, KS.............          12.7         248.7       0.2       283      858       0.7      289
Shawnee, KS..............           5.2          97.6       0.8       238      802       0.9      277

Wyandotte, KS............           3.6          91.1       1.6       160      928       3.5       66
Boone, KY................           4.3          83.6       1.4       179      903       4.3       35
Fayette, KY..............          10.8         192.1       1.7       148      882       2.0      201
Jefferson, KY............          25.2         463.3       2.4        95      971       1.9      216
Caddo, LA................           7.2         114.7      -0.6       314      797       1.7      229
Calcasieu, LA............           5.1          93.9       1.1       204      860       3.7       59
East Baton Rouge, LA.....          15.1         265.2       0.6       257      933       2.8      107
Jefferson, LA............          13.5         194.2      -0.7       317      868       1.2      259
Lafayette, LA............           9.3         128.8      -5.8       342      859      -6.2      342
Orleans, LA..............          12.1         192.1       0.0       292      925       2.0      201

St. Tammany, LA..........           7.9          87.7       0.9       229      819       0.6      293
Cumberland, ME...........          13.6         183.4       1.5       169      902       3.9       54
Anne Arundel, MD.........          15.1         268.8       1.5       169    1,046       3.0      100
Baltimore, MD............          21.3         377.4       0.8       238      973       2.4      156
Frederick, MD............           6.4         100.0      -0.1       298      913       0.6      293
Harford, MD..............           5.8          92.3       1.0       218      939      -2.4      335
Howard, MD...............          10.0         169.7       0.9       229    1,197       1.7      229
Montgomery, MD...........          32.8         471.0       0.7       253    1,319       2.3      172
Prince George's, MD......          15.9         311.5       0.0       292    1,020       1.6      235
Baltimore City, MD.......          13.6         337.6       0.5       270    1,137       4.3       35

Barnstable, MA...........           9.4         106.2       0.5       270      833       3.5       66
Bristol, MA..............          17.4         227.4       1.1       204      938       4.3       35
Essex, MA................          24.5         328.4       0.6       257    1,054       2.9      105
Hampden, MA..............          17.8         208.0      -0.1       298      885       0.8      284
Middlesex, MA............          54.2         893.1       1.1       204    1,470      -1.3      326
Norfolk, MA..............          25.0         355.3       1.3       188    1,162       2.2      181
Plymouth, MA.............          15.5         193.6       0.8       238      954       3.0      100
Suffolk, MA..............          28.4         658.6       2.5        87    1,571       4.0       52
Worcester, MA............          24.4         343.9       1.1       204      992       3.4       73
Genesee, MI..............           6.8         134.8       0.5       270      827       3.5       66

Ingham, MI...............           6.0         149.0       2.7        76      948       6.0        8
Kalamazoo, MI............           5.0         117.6       1.2       200      914       4.7       24
Kent, MI.................          14.2         391.0       3.3        43      850       2.4      156
Macomb, MI...............          17.6         326.1       1.9       134      980       2.3      172
Oakland, MI..............          39.0         731.8       1.8       142    1,090       2.1      189
Ottawa, MI...............           5.6         125.5       3.8        23      841       4.3       35
Saginaw, MI..............           3.9          85.4       0.8       238      787       4.7       24
Washtenaw, MI............           8.1         202.5       1.1       204    1,076       4.4       31
Wayne, MI................          30.5         715.7       1.2       200    1,087       2.4      156
Anoka, MN................           6.7         121.7       1.0       218      959       3.8       58

Dakota, MN...............           9.4         186.4       0.0       292      965       1.8      224
Hennepin, MN.............          39.1         906.6       1.4       179    1,211       0.9      277
Olmsted, MN..............           3.2          97.1       2.0       128    1,033       2.8      107
Ramsey, MN...............          12.6         326.4      -0.9       322    1,118       3.9       54
St. Louis, MN............           5.1          98.2      -1.1       327      784       0.5      296
Stearns, MN..............           4.2          86.2       0.8       238      828       3.4       73
Washington, MN...........           5.2          83.6       2.5        87      834       2.8      107
Harrison, MS.............           4.5          85.2       1.0       218      698       1.9      216
Hinds, MS................           5.9         121.1       0.1       287      843       1.9      216
Boone, MO................           4.9          92.4       1.3       188      791       5.2       17

Clay, MO.................           5.5         103.9       4.5         7      881       0.9      277
Greene, MO...............           8.5         163.8       1.1       204      767       3.4       73
Jackson, MO..............          21.0         365.7       1.5       169      986       0.9      277
St. Charles, MO..........           9.0         146.3       2.7        76      827       4.8       23
St. Louis, MO............          36.3         603.2       1.1       204    1,043       2.7      122
St. Louis City, MO.......          13.3         226.6       0.6       257    1,027       1.1      265
Yellowstone, MT..........           6.5          82.6       1.1       204      846       0.7      289
Douglas, NE..............          19.0         337.8       1.3       188      913       2.6      133
Lancaster, NE............          10.2         168.6       1.0       218      787       1.4      246
Clark, NV................          55.9         939.5       3.4        36      866       2.5      146

Washoe, NV...............          14.9         210.6       4.3        12      874       2.0      201
Hillsborough, NH.........          12.2         201.5       1.7       148    1,050       1.8      224
Merrimack, NH............           5.1          77.0       1.0       218      908       0.4      298
Rockingham, NH...........          10.9         149.2       0.9       229      997       4.4       31
Atlantic, NJ.............           6.6         131.9      -0.7       317      835       2.3      172
Bergen, NJ...............          33.0         453.4       0.6       257    1,173       0.9      277
Burlington, NJ...........          11.0         205.1       1.3       188    1,012       0.7      289
Camden, NJ...............          12.0         204.6       2.7        76      954       1.5      241
Essex, NJ................          20.5         341.0       1.5       169    1,179       2.6      133
Gloucester, NJ...........           6.3         106.3       2.6        84      867       3.3       85

Hudson, NJ...............          14.8         252.6       3.3        43    1,300      -1.7      331
Mercer, NJ...............          11.2         248.1       2.2       112    1,224       1.1      265
Middlesex, NJ............          22.0         415.6       2.4        95    1,161       1.8      224
Monmouth, NJ.............          20.1         267.5       1.3       188      976       2.1      189
Morris, NJ...............          17.0         291.5       0.7       253    1,426       2.1      189
Ocean, NJ................          13.0         172.4       2.5        87      795       1.4      246
Passaic, NJ..............          12.4         168.6       0.9       229      964      -1.5      328
Somerset, NJ.............          10.1         188.5       2.3       105    1,508       5.2       17
Union, NJ................          14.3         220.4       0.9       229    1,288       0.8      284
Bernalillo, NM...........          18.3         323.2       1.1       204      853       3.0      100

Albany, NY...............          10.4         233.3       0.6       257    1,082       7.0        5
Bronx, NY................          18.7         300.6       0.7       253      943       1.5      241
Broome, NY...............           4.6          87.2      -0.1       298      801       3.6       61
Dutchess, NY.............           8.5         112.1       0.2       283      992       1.2      259
Erie, NY.................          24.8         471.3       0.6       257      879       3.9       54
Kings, NY................          61.5         690.4       3.8        23      823       1.6      235
Monroe, NY...............          19.0         388.7       0.6       257      933       1.7      229
Nassau, NY...............          54.2         635.3       1.9       134    1,168       6.4        7
New York, NY.............         130.2       2,415.6       1.5       169    1,866       1.2      259
Oneida, NY...............           5.4         105.7       0.8       238      788       0.9      277

Onondaga, NY.............          13.1         246.6       0.8       238      921       3.4       73
Orange, NY...............          10.4         143.3       1.7       148      881       3.2       87
Queens, NY...............          52.4         648.7       1.6       160      941       3.5       66
Richmond, NY.............           9.8         115.6       2.4        95      887       3.6       61
Rockland, NY.............          10.7         123.3       1.3       188      998       1.3      254
Saratoga, NY.............           6.0          86.9       0.9       229      938       2.4      156
Suffolk, NY..............          52.9         672.2       0.7       253    1,080       4.7       24
Westchester, NY..........          36.7         431.1       1.0       218    1,294       1.2      259
Buncombe, NC.............           9.0         127.2       3.7        29      760       4.7       24
Catawba, NC..............           4.4          85.8       4.4        11      759       3.4       73

Cumberland, NC...........           6.2         120.2       1.1       204      750      -0.9      322
Durham, NC...............           8.1         197.1       2.4        95    1,197      -0.1      309
Forsyth, NC..............           9.2         182.7       1.7       148      868      -6.5      343
Guilford, NC.............          14.3         275.2       0.6       257      856       2.6      133
Mecklenburg, NC..........          37.1         662.2       3.7        29    1,108       2.8      107
New Hanover, NC..........           7.9         110.2       3.0        59      790       1.9      216
Wake, NC.................          33.3         534.6       3.9        20      989       2.2      181
Cass, ND.................           7.0         118.0       0.6       257      883       2.0      201
Butler, OH...............           7.6         149.2       2.3       105      866       0.8      284
Cuyahoga, OH.............          35.6         723.3       0.1       287      995       2.5      146

Delaware, OH.............           5.0          87.2       1.8       142      954       1.1      265
Franklin, OH.............          31.3         735.5       1.9       134      987       1.2      259
Hamilton, OH.............          23.6         513.9       1.3       188    1,032       2.1      189
Lake, OH.................           6.3          96.3      -0.2       303      797      -1.5      328
Lorain, OH...............           6.2          98.3      -0.5       312      772       2.8      107
Lucas, OH................          10.1         213.7       2.2       112      867       4.1       47
Mahoning, OH.............           5.9          98.1       0.2       283      684       0.7      289
Montgomery, OH...........          11.9         251.7       0.5       270      850       1.9      216
Stark, OH................           8.6         159.7      -0.4       308      731       0.8      284
Summit, OH...............          14.2         266.1       0.3       276      871       2.5      146

Warren, OH...............           4.8          93.7       1.5       169      914       4.2       41
Cleveland, OK............           5.6          79.4      -0.2       303      743       3.2       87
Oklahoma, OK.............          27.5         447.3      -1.0       324      917       2.0      201
Tulsa, OK................          22.1         348.8      -1.0       324      892       0.3      300
Clackamas, OR............          14.3         159.7       2.3       105      936       2.1      189
Jackson, OR..............           7.2          85.7       3.3        43      749       3.9       54
Lane, OR.................          11.8         152.6       2.7        76      783       2.1      189
Marion, OR...............          10.3         153.2       2.8        69      821       4.2       41
Multnomah, OR............          33.4         492.9       2.5        87    1,012       3.1       93
Washington, OR...........          18.6         284.9       3.2        48    1,291       7.4        4

Allegheny, PA............          36.0         698.6       0.3       276    1,045       1.5      241
Berks, PA................           9.0         171.2       0.3       276      901       1.0      274
Bucks, PA................          20.0         264.9       1.1       204      939       1.3      254
Butler, PA...............           5.1          85.9      -0.4       308      910       1.1      265
Chester, PA..............          15.6         250.6       1.2       200    1,263      -3.1      339
Cumberland, PA...........           6.4         132.1       0.0       292      893      -1.0      324
Dauphin, PA..............           7.6         183.7       1.0       218      946      -0.5      316
Delaware, PA.............          14.1         222.2       1.6       160    1,064       4.1       47
Erie, PA.................           7.1         124.3      -2.0       334      772       2.1      189
Lackawanna, PA...........           5.8          97.2      -0.6       314      759       4.4       31

Lancaster, PA............          13.4         236.7       2.0       128      820       2.0      201
Lehigh, PA...............           8.8         188.7       1.6       160      978       2.9      105
Luzerne, PA..............           7.5         145.3       1.7       148      768       0.8      284
Montgomery, PA...........          27.7         487.5       0.8       238    1,203       1.9      216
Northampton, PA..........           6.8         112.1       2.7        76      845       1.4      246
Philadelphia, PA.........          35.3         661.6       1.7       148    1,150       1.0      274
Washington, PA...........           5.6          86.7      -2.5       338      934      -1.4      327
Westmoreland, PA.........           9.4         134.8      -0.8       320      781      -0.3      313
York, PA.................           9.1         177.2       0.9       229      849       2.5      146
Providence, RI...........          17.7         285.1       0.1       287      993       3.4       73

Charleston, SC...........          14.3         245.2       3.3        43      880       4.9       21
Greenville, SC...........          13.4         263.3       1.8       142      863       3.2       87
Horry, SC................           8.4         130.2       2.8        69      598       5.3       15
Lexington, SC............           6.6         116.1       3.1        53      756       2.7      122
Richland, SC.............           9.8         215.9       1.7       148      849       1.7      229
Spartanburg, SC..........           6.0         131.9       3.6        32      864       2.2      181
York, SC.................           5.2          89.6       4.5         7      784       3.0      100
Minnehaha, SD............           7.1         125.9       0.8       238      847       2.8      107
Davidson, TN.............          21.3         470.0       3.1        53    1,013      -2.6      337
Hamilton, TN.............           9.2         198.1       2.2       112      875       0.6      293

Knox, TN.................          11.8         234.9       2.1       125      850       2.8      107
Rutherford, TN...........           5.2         119.0       4.6         5      912       3.1       93
Shelby, TN...............          20.0         491.5       0.8       238      974       2.2      181
Williamson, TN...........           8.2         125.8       6.7         1    1,088       1.6      235
Bell, TX.................           5.2         119.3       3.8        23      814       4.1       47
Bexar, TX................          39.5         837.1       2.0       128      876       2.3      172
Brazoria, TX.............           5.5         104.4      -1.1       327      992      -0.2      311
Brazos, TX...............           4.4          97.5       3.1        53      725      -0.4      315
Cameron, TX..............           6.5         139.4       2.2       112      602       2.4      156
Collin, TX...............          23.2         380.9       3.6        32    1,150       0.4      298

Dallas, TX...............          74.5       1,649.4       2.9        66    1,184       2.2      181
Denton, TX...............          13.9         230.4       4.6         5      894       2.6      133
El Paso, TX..............          14.7         295.3       1.5       169      694       2.8      107
Fort Bend, TX............          12.3         175.4       2.2       112      920      -2.4      335
Galveston, TX............           6.1         108.6       3.2        48      874       1.3      254
Gregg, TX................           4.2          74.0      -3.5       341      814      -3.7      341
Harris, TX...............         112.5       2,272.1      -0.8       320    1,233      -0.1      309
Hidalgo, TX..............          12.1         248.4       1.3       188      626       2.0      201
Jefferson, TX............           5.9         122.6       (5)        -     1,015       1.5      241
Lubbock, TX..............           7.4         137.0       2.7        76      762       1.6      235

McLennan, TX.............           5.1         110.4       2.7        76      821       4.1       47
Midland, TX..............           5.4          82.8      -8.3       343    1,192      -3.2      340
Montgomery, TX...........          10.8         168.2       2.0       128      978      -0.6      317
Nueces, TX...............           8.3         159.6      -2.1       335      844       0.2      302
Potter, TX...............           4.0          79.2       0.2       283      789       2.3      172
Smith, TX................           6.1         103.2       2.2       112      821       2.2      181
Tarrant, TX..............          41.7         856.6       1.9       134      972       1.7      229
Travis, TX...............          38.5         707.6       2.8        69    1,120       3.3       85
Webb, TX.................           5.2          98.0       1.3       188      659       1.1      265
Williamson, TX...........           9.9         160.5       4.7         4      933       0.0      305

Davis, UT................           8.1         122.1       3.4        36      797       2.4      156
Salt Lake, UT............          43.0         669.4       3.8        23      942       2.4      156
Utah, UT.................          15.0         222.3       6.5         2      802       2.8      107
Weber, UT................           5.9         102.3       1.7       148      747       2.3      172
Chittenden, VT...........           6.6         102.5      -0.3       306      975       2.8      107
Arlington, VA............           9.5         174.0       1.8       142    1,559       1.4      246
Chesterfield, VA.........           8.9         135.2       2.2       112      840       1.4      246
Fairfax, VA..............          37.8         603.7       1.3       188    1,492      -0.9      322
Henrico, VA..............          11.6         191.1       1.8       142      965       4.2       41
Loudoun, VA..............          12.1         163.9       5.2         3    1,132       3.1       93

Prince William, VA.......           9.4         129.1       3.4        36      859       2.6      133
Alexandria City, VA......           6.7          96.2       0.8       238    1,357       1.6      235
Chesapeake City, VA......           6.1          98.6       0.3       276      787       1.0      274
Newport News City, VA....           3.9          96.3      -2.4       337      911      -1.1      325
Norfolk City, VA.........           5.9         139.8      -0.1       298      970       2.4      156
Richmond City, VA........           7.9         149.5       1.4       179    1,061       1.3      254
Virginia Beach City, VA..          12.2         182.0       2.0       128      761       2.1      189
Benton, WA...............           5.7          90.3       1.0       218      997       2.0      201
Clark, WA................          14.2         151.0       4.2        15      903       2.8      107
King, WA.................          85.5       1,326.1       3.4        36    1,393       8.1        3

Kitsap, WA...............           6.6          86.5       1.1       204      889       3.4       73
Pierce, WA...............          21.6         297.5       3.7        29      904       2.4      156
Snohomish, WA............          20.5         284.9       2.2       112    1,071       3.1       93
Spokane, WA..............          15.5         217.4       3.0        59      833       2.5      146
Thurston, WA.............           8.1         110.5       3.3        43      897       3.6       61
Whatcom, WA..............           7.2          88.8       0.9       229      803      -0.6      317
Yakima, WA...............           7.7         122.5       1.0       218      687       3.6       61
Kanawha, WV..............           5.8         102.5      -1.5       330      865       2.5      146
Brown, WI................           6.7         155.4       0.8       238      860       2.4      156
Dane, WI.................          14.9         330.8       2.3       105    1,005       2.7      122

Milwaukee, WI............          25.4         486.7       0.3       276      947       2.0      201
Outagamie, WI............           5.2         108.7       1.4       179      837       5.3       15
Waukesha, WI.............          12.8         243.1       1.1       204      984       3.4       73
Winnebago, WI............           3.7          93.4       1.9       134      903       1.7      229
San Juan, PR.............          11.0         242.6      -1.4       (6)      611      -0.8      (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 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 344 U.S. counties comprise 72.5 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
second quarter 2016

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter
         County by NAICS supersector                2016                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2016       June     quarter  second
                                                              (thousands) 2015-16(2)   2016    quarter
                                                                                             2015-16(2)


United States(3) ............................       9,741.4     142,717.2       1.5     $989       2.2
  Private industry...........................       9,442.6     121,256.3       1.6      979       2.1
    Natural resources and mining.............         137.6       1,976.1      -7.4    1,010      -4.5
    Construction.............................         774.4       6,823.9       3.5    1,077       3.1
    Manufacturing............................         344.6      12,357.8      -0.5    1,203       1.8
    Trade, transportation, and utilities.....       1,921.0      26,932.2       1.0      839       2.7
    Information..............................         156.8       2,809.4       0.9    1,755       5.5
    Financial activities.....................         856.4       7,979.1       1.5    1,492       2.0
    Professional and business services.......       1,756.4      20,019.1       1.7    1,280       1.7
    Education and health services............       1,589.5      21,487.5       2.4      903       2.8
    Leisure and hospitality..................         819.7      16,119.6       2.6      415       3.2
    Other services...........................         832.8       4,438.0       1.4      676       2.7
  Government.................................         298.8      21,460.8       0.7    1,040       2.2

Los Angeles, CA..............................         467.7       4,337.3       1.8    1,079       2.8
  Private industry...........................         461.5       3,763.0       1.8    1,047       3.2
    Natural resources and mining.............           0.5           9.2       0.9    1,230      -2.2
    Construction.............................          13.7         131.2       3.5    1,133       3.1
    Manufacturing............................          12.5         357.9      -2.8    1,227       3.9
    Trade, transportation, and utilities.....          53.6         805.2       0.7      896       3.1
    Information..............................           9.4         228.8       3.6    1,752       4.4
    Financial activities.....................          25.0         217.5       0.9    1,727       3.7
    Professional and business services.......          47.2         590.2       1.0    1,331       3.2
    Education and health services............         218.2         745.2       2.8      846       3.9
    Leisure and hospitality..................          32.1         508.3       3.5      597       1.0
    Other services...........................          26.9         146.2       0.6      685       2.9
  Government.................................           6.1         574.3       1.7    1,295       1.3

Cook, IL.....................................         151.8       2,584.0       0.9    1,146       2.6
  Private industry...........................         150.5       2,283.5       1.0    1,133       2.9
    Natural resources and mining.............           0.1           1.2      19.0    1,137      -4.5
    Construction.............................          12.2          74.9       0.7    1,395       2.8
    Manufacturing............................           6.3         187.4      -0.5    1,187       4.4
    Trade, transportation, and utilities.....          29.7         474.1       0.6      925       2.9
    Information..............................           2.6          52.9       0.3    1,740       1.9
    Financial activities.....................          15.1         193.5       0.5    2,022       3.2
    Professional and business services.......          32.0         471.8       0.2    1,443       3.6
    Education and health services............          16.2         438.7       2.0      947       1.7
    Leisure and hospitality..................          14.0         286.5       2.7      521       4.4
    Other services...........................          17.1          96.7      -0.9      893       4.8
  Government.................................           1.3         300.4      -0.3    1,245       0.3

New York, NY.................................         130.2       2,415.6       1.5    1,866       1.2
  Private industry...........................         129.4       2,154.8       1.7    1,938       0.9
    Natural resources and mining.............           0.0           0.2       4.3    2,100       1.4
    Construction.............................           2.2          40.7       5.7    1,816       4.1
    Manufacturing............................           2.2          26.7      -1.3    1,345       3.1
    Trade, transportation, and utilities.....          19.6         254.0      -2.9    1,379       3.9
    Information..............................           4.9         154.9       0.8    2,526       5.0
    Financial activities.....................          19.3         375.7       1.6    3,517      -2.3
    Professional and business services.......          27.5         557.6       2.0    2,173       0.4
    Education and health services............           9.7         333.0       2.4    1,251       3.1
    Leisure and hospitality..................          13.6         294.8       1.2      845       3.6
    Other services...........................          20.3         101.8       0.2    1,173       6.8
  Government.................................           0.8         260.8       0.6    1,278       4.8

Harris, TX...................................         112.5       2,272.1      -0.8    1,233      -0.1
  Private industry...........................         112.0       1,999.0      -1.3    1,251      -0.5
    Natural resources and mining.............           1.8          76.3     -16.4    3,256       0.8
    Construction.............................           7.2         163.2       0.7    1,308       3.4
    Manufacturing............................           4.8         170.8     -11.0    1,534       0.3
    Trade, transportation, and utilities.....          24.9         465.3      -0.6    1,099       0.5
    Information..............................           1.2          27.8       1.2    1,438      -2.1
    Financial activities.....................          11.7         123.0       1.6    1,588       3.7
    Professional and business services.......          23.0         386.8      -2.4    1,524       0.1
    Education and health services............          15.5         285.8       3.8    1,004       5.5
    Leisure and hospitality..................           9.7         233.7       3.8      431       0.9
    Other services...........................          11.7          65.2      -0.7      773       3.3
  Government.................................           0.6         273.1       2.9    1,099       4.0

Maricopa, AZ.................................          94.8       1,827.4       2.9      970       2.2
  Private industry...........................          94.1       1,645.2       3.0      957       2.6
    Natural resources and mining.............           0.4           8.5      -0.1      850      -2.0
    Construction.............................           6.9         102.1       5.0      997       2.9
    Manufacturing............................           3.1         115.7      -0.6    1,450       5.2
    Trade, transportation, and utilities.....          18.7         362.7       1.9      879       2.9
    Information..............................           1.5          35.1       0.0    1,383      13.5
    Financial activities.....................          10.8         165.5       4.9    1,255       2.5
    Professional and business services.......          20.8         315.6       2.0    1,044       2.2
    Education and health services............          10.6         274.8       2.8      954       0.4
    Leisure and hospitality..................           7.5         203.3       3.1      452       4.6
    Other services...........................           6.0          50.3       0.0      685       2.7
  Government.................................           0.7         182.3       2.0    1,077       0.0

Dallas, TX...................................          74.5       1,649.4       2.9    1,184       2.2
  Private industry...........................          73.9       1,477.5       3.0    1,192       2.1
    Natural resources and mining.............           0.6           8.6     -10.0    3,604     -10.4
    Construction.............................           4.4          85.2       3.6    1,129       3.1
    Manufacturing............................           2.7         109.1       0.1    1,441      10.4
    Trade, transportation, and utilities.....          15.8         333.5       2.8    1,058       1.4
    Information..............................           1.3          48.7       2.6    1,848       5.5
    Financial activities.....................           9.1         157.7       3.6    1,653       2.4
    Professional and business services.......          16.7         333.6       3.2    1,371       0.6
    Education and health services............           9.2         194.0       3.5    1,041       3.9
    Leisure and hospitality..................           6.6         162.4       4.5      483       3.6
    Other services...........................           7.0          43.7       1.9      756       1.6
  Government.................................           0.6         171.9       1.8    1,115       2.8

Orange, CA...................................         114.8       1,557.3       1.9    1,103       1.8
  Private industry...........................         113.3       1,403.3       1.9    1,088       1.4
    Natural resources and mining.............           0.2           3.4       4.9      785       3.3
    Construction.............................           6.6          95.6       5.1    1,235       4.0
    Manufacturing............................           4.9         154.9      -0.7    1,344       2.1
    Trade, transportation, and utilities.....          16.8         254.4      -0.7      991       4.1
    Information..............................           1.3          25.7       2.1    1,780       4.6
    Financial activities.....................          10.9         115.6       0.6    1,700       2.0
    Professional and business services.......          20.3         289.1       1.4    1,319      -1.9
    Education and health services............          30.3         197.7       3.0      921       2.2
    Leisure and hospitality..................           8.4         214.0       4.0      473       4.6
    Other services...........................           6.9          45.5       2.0      694       4.4
  Government.................................           1.5         154.0       1.6    1,240       4.6

San Diego, CA................................         106.7       1,405.5       2.0    1,073       0.0
  Private industry...........................         104.8       1,173.6       2.0    1,045      -0.9
    Natural resources and mining.............           0.6           9.7       2.0      708       5.8
    Construction.............................           6.6          74.4       5.9    1,146       3.9
    Manufacturing............................           3.2         107.3       0.5    1,480      -8.2
    Trade, transportation, and utilities.....          14.2         216.2       0.1      825       2.2
    Information..............................           1.2          23.2      -1.4    1,621       1.6
    Financial activities.....................           9.6          71.8       2.2    1,391       3.2
    Professional and business services.......          17.9         230.4       1.1    1,533      -4.2
    Education and health services............          30.1         191.3       2.9      930       3.4
    Leisure and hospitality..................           8.0         192.1       2.6      476       2.6
    Other services...........................           7.4          50.7       0.7      600       3.3
  Government.................................           1.9         232.0       2.1    1,217       4.7

King, WA.....................................          85.5       1,326.1       3.4    1,393       8.1
  Private industry...........................          84.9       1,158.0       3.6    1,408       8.6
    Natural resources and mining.............           0.4           3.1       2.2    1,225      -5.9
    Construction.............................           6.4          66.8       5.4    1,293       5.5
    Manufacturing............................           2.4         105.0      -2.2    1,648       7.0
    Trade, transportation, and utilities.....          14.6         250.9       4.4    1,431      21.9
    Information..............................           2.1          96.4       8.9    2,781       6.4
    Financial activities.....................           6.5          67.2       2.3    1,610       3.6
    Professional and business services.......          17.1         219.3       3.3    1,593       3.9
    Education and health services............          19.3         166.7       3.6      993       2.4
    Leisure and hospitality..................           7.0         137.8       3.5      575      11.7
    Other services...........................           9.0          44.9       5.0      833       2.3
  Government.................................           0.5         168.1       1.9    1,296       4.9

Miami-Dade, FL...............................          95.7       1,088.1       2.5      958       2.6
  Private industry...........................          95.3         964.4       2.6      922       2.6
    Natural resources and mining.............           0.5           7.7       9.3      616       9.4
    Construction.............................           6.1          43.3      10.2      912       2.4
    Manufacturing............................           2.8          40.5       3.1      869      -0.7
    Trade, transportation, and utilities.....          26.3         277.4       0.2      865       3.3
    Information..............................           1.5          18.1       1.8    1,574       4.0
    Financial activities.....................          10.4          74.1       1.4    1,433      -0.6
    Professional and business services.......          21.0         153.0       4.3    1,100       2.0
    Education and health services............          10.2         171.0       2.7      966       5.0
    Leisure and hospitality..................           7.2         138.4       3.2      561       1.3
    Other services...........................           8.2          40.2       2.6      607       2.4
  Government.................................           0.3         123.7       1.6    1,216       3.1

(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.

Note: Data are preliminary. Counties selected are based on 2015 annual average employment.
Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.






Table 3. Covered establishments, employment, and wages by state,
second quarter 2016


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2016                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2016       June    quarter  second
                                            (thousands)   2015-16    2016   quarter
                                                                            2015-16


United States(2)...........       9,741.4     142,717.2       1.5     $989      2.2

Alabama....................         121.8       1,923.5       1.2      835      2.0
Alaska.....................          22.4         338.7      -2.4    1,011     -1.7
Arizona....................         153.5       2,619.6       2.6      921      1.9
Arkansas...................          88.7       1,197.5       1.1      785      3.0
California.................       1,473.1      16,754.1       2.5    1,157      2.4
Colorado...................         191.1       2,574.5       2.3      999      1.0
Connecticut................         117.2       1,689.9      -0.1    1,213      3.0
Delaware...................          31.4         444.0       0.9      990     -0.6
District of Columbia.......          38.1         756.0       1.7    1,623      1.1
Florida....................         658.1       8,161.8       3.2      883      2.6

Georgia....................         299.7       4,269.5       2.7      929      2.7
Hawaii.....................          40.2         643.4       1.0      906      3.5
Idaho......................          57.9         699.7       3.3      740      3.8
Illinois...................         401.9       5,945.0       0.2    1,038      2.4
Indiana....................         161.4       2,995.4       1.0      828      2.1
Iowa.......................         101.4       1,566.0       0.3      825      2.9
Kansas.....................          90.0       1,378.4      -0.2      829      1.2
Kentucky...................         122.8       1,877.2       1.5      838      1.9
Louisiana..................         128.0       1,905.2      -1.4      852      0.2
Maine......................          52.8         622.8       1.0      795      3.5

Maryland...................         170.0       2,656.0       0.9    1,070      2.5
Massachusetts..............         247.1       3,538.2       1.2    1,233      2.0
Michigan...................         240.3       4,300.9       1.9      942      2.7
Minnesota..................         161.2       2,846.8       0.7      997      2.0
Mississippi................          73.3       1,120.1       0.5      727      2.5
Missouri...................         194.2       2,785.6       1.4      863      2.4
Montana....................          46.5         468.6       2.2      767      1.7
Nebraska...................          72.5         978.3       0.9      805      2.4
Nevada.....................          81.9       1,289.4       3.3      874      2.2
New Hampshire..............          51.5         655.1       1.1    1,003      3.7

New Jersey.................         268.9       4,051.2       1.7    1,147      1.7
New Mexico.................          58.3         808.1      -0.3      812      0.9
New York...................         643.4       9,264.0       1.5    1,210      2.5
North Carolina.............         270.5       4,285.3       2.5      865      2.1
North Dakota...............          32.1         423.3      -4.9      908     -3.3
Ohio.......................         293.1       5,353.1       0.8      882      2.0
Oklahoma...................         109.2       1,570.5      -1.4      823      0.6
Oregon.....................         146.4       1,867.8       2.7      933      4.1
Pennsylvania...............         357.9       5,786.8       0.4      971      1.4
Rhode Island...............          36.9         482.9       0.6      949      2.5

South Carolina.............         124.4       2,013.7       2.4      804      2.8
South Dakota...............          33.0         432.7       1.0      760      2.7
Tennessee..................         153.0       2,900.4       2.4      874      1.3
Texas......................         652.6      11,810.7       1.0    1,000      1.2
Utah.......................          95.6       1,395.9       3.8      840      2.3
Vermont....................          24.9         310.6      -0.1      850      2.4
Virginia...................         267.5       3,833.4       1.6    1,011      1.2
Washington.................         238.0       3,281.6       2.8    1,083      5.4
West Virginia..............          50.3         693.2      -1.9      800     -0.4
Wisconsin..................         169.2       2,869.1       0.9      856      2.4

Wyoming....................          26.2         281.7      -3.7      849     -2.2

Puerto Rico................          46.8         879.5      -0.7      512      0.2
Virgin Islands.............           3.4          38.4       0.9      743     -0.4

(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and
Unemployment Compensation for Federal Employees (UCFE) programs.






Last Modified Date: December 07, 2016