County Employment and Wages News Release

For release 10:00 a.m. (EST), Tuesday, March 7, 2017	USDL-17-0297

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 2016

From September 2015 to September 2016, employment increased in 307 of the 344 largest U.S. 
counties, the U.S. Bureau of Labor Statistics reported today. York, S.C., had the largest percentage 
increase with a gain of 6.0 percent over the year, above the national job growth rate of 1.7 percent. 
Within York, the largest employment increase occurred in professional and business services, which 
gained 1,408 jobs over the year (15.0 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 5.8 percent. Within 
Midland, trade, transportation, and utilities had the largest decrease in employment, with a loss of 1,504 
jobs (-8.2 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, metropolitan statistical area, 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 5.4 percent over the year, growing to $1,027 in the third 
quarter of 2016. Clark, Nev., had the largest over-the-year percentage increase in average weekly wages 
with a gain of 12.2 percent. Within Clark, an average weekly wage gain of $151 (24.0 percent) in leisure 
and hospitality made the largest contribution to the county’s increase in average weekly wages. 
Rockland, N.Y., experienced the largest percentage decrease in average weekly wages with a loss of 
14.9 percent over the year. Within Rockland, manufacturing had the largest impact on the county’s 
average weekly wage decline with a decrease of $2,912 (-63.6 percent) over the year.

Large County Employment

In September 2016, national employment was 142.9 million (as measured by the QCEW program). Over 
the year, employment increased 1.7 percent, or 2.4 million. In September 2016, the 344 U.S. counties 
with 75,000 or more jobs accounted for 72.5 percent of total U.S. employment and 77.7 percent of total 
wages. These 344 counties had a net job growth of 2.0 million over the year, accounting for 80.5 percent 
of the overall U.S. employment increase. The 5 counties with the largest increases in employment levels 
had a combined over-the-year employment gain of 261,700 jobs, which was 10.7 percent of the overall 
job increase for the U.S. (See table A.)

Employment declined in 33 of the largest counties from September 2015 to September 2016. Midland, 
Texas, had the largest over-the-year percentage decrease in employment (-5.8 percent), followed by 
Lafayette, La.; Gregg, Texas; Anchorage, Alaska; and Washington, Pa. (See table 1.)

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

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                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
     September 2016 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |         September 2015-16        |         September 2015-16
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           142,940.5| United States             2,444.7| United States                 1.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,357.4| Los Angeles, Calif.          70.7| York, S.C.                    6.0
 Cook, Ill.                2,577.2| Maricopa, Ariz.              62.0| Williamson, Tenn.             5.8
 New York, N.Y.            2,411.9| Dallas, Texas                49.6| Utah, Utah                    5.3
 Harris, Texas             2,262.3| King, Wash.                  42.3| Collier, Fla.                 5.1
 Maricopa, Ariz.           1,885.6| New York, N.Y.               37.1| Washoe, Nev.                  5.0
 Dallas, Texas             1,662.8| Clark, Nev.                  34.1| Placer, Calif.                4.9
 Orange, Calif.            1,563.4| Orange, Calif.               32.3| Seminole, Fla.                4.8
 San Diego, Calif.         1,415.6| Fulton, Ga.                  31.7| Brevard, Fla.                 4.7
 King, Wash.               1,331.3| San Diego, Calif.            30.4| Volusia, Fla.                 4.7
 Miami-Dade, Fla.          1,107.4| Cook, Ill.                   29.6| Thurston, Wash.               4.7
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,027, a 5.4 percent increase, during the year ending 
in the third quarter of 2016. Among the 344 largest counties, 339 had over-the-year increases in average 
weekly wages. Clark, Nev., had the largest percentage wage increase among the largest U.S. counties 
(12.2 percent). (See table B.)

Of the 344 largest counties, 5 experienced over-the-year decreases in average weekly wages. Rockland, 
N.Y., had the largest percentage decrease in average weekly wages (-14.9 percent), followed by 
Lafayette, La.; Benton, Ark.; Lake, Ill.; and Midland, Texas. (See table 1.)

Table B.  Large counties ranked by third quarter 2016 average weekly wages, third quarter 2015-16
increase in average weekly wages, and third 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 
         third quarter 2016       |    wage, third quarter 2015-16   |         weekly wage, third
                                  |                                  |          quarter 2015-16
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,027| United States                 $53| United States                 5.4
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,260| Santa Clara, Calif.          $186| Clark, Nev.                  12.2
 San Mateo, Calif.           2,098| San Mateo, Calif.             172| Manatee, Fla.                10.7
 San Francisco, Calif.       1,892| San Francisco, Calif.         150| Hillsborough, N.H.           10.4
 New York, N.Y.              1,879| Middlesex, Mass.              139| Elkhart, Ind.                10.3
 Washington, D.C.            1,728| King, Wash.                   119| Boone, Ky.                   10.3
 Suffolk, Mass.              1,660| Alameda, Calif.               112| McLean, Ill.                 10.2
 Arlington, Va.              1,648| Hillsborough, N.H.            107| Dane, Wis.                   10.1
 King, Wash.                 1,582| Clark, Nev.                   103| Middlesex, Mass.              9.8
 Middlesex, Mass.            1,555| Suffolk, Mass.                 96| Washington, Ark.              9.5
 Fairfax, Va.                1,546| Ramsey, Minn.                  95| Alachua, Fla.                 9.5
                                  | Dane, Wis.                     95|                                  
--------------------------------------------------------------------------------------------------------

Ten Largest U.S. Counties

Among the 10 largest counties, 9 had over-the-year percentage increases in employment in September 
2016. Maricopa, Ariz., had the largest gain (3.4 percent). Within Maricopa, professional and business 
services had the largest over-the-year employment level increase, with a gain of 12,662 jobs, or 4.0 
percent. Harris, Texas, had the only percentage decrease in employment among the 10 largest counties 
(-0.9 percent). (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Wash., 
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 $210, or 17.8 percent, over the 
year. Harris, Texas, had the smallest percentage gain in average weekly wages among the 10 largest 
counties (2.1 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. September 2016 employment and 2016 third 
quarter average weekly wages for all states are provided in table 3 of this release.

The data are derived from reports submitted by employers who are subject to unemployment insurance 
(UI) laws. The 9.8 million employer reports cover 142.9 million full- and part-time workers. Data for the 
third quarter of 2016 will be available later at www.bls.gov/cew. Additional information about the 
quarterly employment and wages data is available in the Technical Note. More information about 
QCEW data may be obtained by calling (202) 691-6567.

The most current news release on quarterly measures of gross job flows is available from QCEW 
Business Employment Dynamics at www.bls.gov/news.release/pdf/cewbd.pdf.

Several BLS regional offices issue QCEW news releases targeted to local data users. Links to these 
releases are available at www.bls.gov/cew/cewregional.htm.

_____________
The County Employment and Wages release for fourth quarter 2016 is scheduled to be released 
on Wednesday, June 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 (NAICS). 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- |  634,000 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, met-|  and contractions at |  industry
            |  ropolitan statisti-|  the national level  |
            |  cal area (MSA),    |  by NAICS supersec-  |
            |  state, and national|  tors and by size of |
            |  levels by detailed |  firm, and at the    |
            |  industry           |  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 
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 from BED at 
www.bls.gov/bdm, (202) 691-6467, or 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: (800) 877-8339.






Table 1. Covered establishments, employment, and wages in the 345 largest counties,
third quarter 2016

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          third quarter                Percent    Ranking            Percent   Ranking
                                2016       September    change,      by      Third    change,     by
                            (thousands)       2016     September   percent  quarter    third    percent
                                          (thousands)  2015-16(3)  change     2016    quarter   change
                                                                                     2015-16(3)

United States(4).........       9,800.8     142,940.5       1.7        -    $1,027       5.4       -

Jefferson, AL............          18.3         340.8       0.6       273    1,010       5.1      211
Madison, AL..............           9.4         192.8       3.0        69    1,122       6.4      100
Mobile, AL...............          10.0         169.2       1.0       238      887       6.4      100
Montgomery, AL...........           6.4         131.6       2.0       142      858       4.9      226
Shelby, AL...............           5.7          84.3       0.7       265      970       6.7       79
Tuscaloosa, AL...........           4.5          92.9       0.3       297      824       1.7      334
Anchorage Borough, AK....           8.3         153.3      -2.2       340    1,102       1.8      332
Maricopa, AZ.............          95.0       1,885.6       3.4        46      996       7.1       56
Pima, AZ.................          18.7         360.4       1.4       203      866       6.4      100
Benton, AR...............           6.1         116.5       3.3        51      934      -2.0      342

Pulaski, AR..............          14.4         248.8       1.2       226      922       6.0      130
Washington, AR...........           5.9         104.4       2.9        74      862       9.5        9
Alameda, CA..............          61.6         757.1       2.3       123    1,394       8.7       18
Butte, CA................           8.3          82.7       2.9        74      780       7.3       47
Contra Costa, CA.........          31.7         362.2       3.0        69    1,245       6.3      108
Fresno, CA...............          33.9         385.0       1.9       153      807       4.5      254
Kern, CA.................          18.2         324.8      -0.3       316      861       4.6      247
Los Angeles, CA..........         472.3       4,357.4       1.6       183    1,132       5.8      152
Marin, CA................          12.5         114.6       2.0       142    1,243       6.0      130
Merced, CA...............           6.4          82.1       2.4       112      802       7.2       52

Monterey, CA.............          13.5         204.0       0.7       265      891       7.7       33
Napa, CA.................           5.8          77.7      -0.8       328    1,016       6.2      117
Orange, CA...............         116.1       1,563.4       2.1       131    1,153       6.8       68
Placer, CA...............          12.5         158.4       4.9         6    1,040       5.4      187
Riverside, CA............          60.4         688.2       3.5        44      844       7.9       27
Sacramento, CA...........          55.9         640.4       2.7        87    1,117       5.0      215
San Bernardino, CA.......          56.4         706.2       2.6        96      881       7.8       30
San Diego, CA............         107.6       1,415.6       2.2       125    1,130       4.9      226
San Francisco, CA........          60.1         709.5       3.1        58    1,892       8.6       20
San Joaquin, CA..........          17.4         244.1       1.8       164      875       5.0      215

San Luis Obispo, CA......          10.3         115.2       2.1       131      861       4.7      242
San Mateo, CA............          27.8         395.3       2.7        87    2,098       8.9       16
Santa Barbara, CA........          15.3         199.1       1.0       238      999       6.8       68
Santa Clara, CA..........          70.9       1,052.5       2.7        87    2,260       9.0       15
Santa Cruz, CA...........           9.5         107.0       2.9        74      936       5.3      198
Solano, CA...............          11.1         136.9       2.0       142    1,054       7.2       52
Sonoma, CA...............          19.7         206.0       2.1       131      993       6.3      108
Stanislaus, CA...........          15.0         189.4       3.3        51      887       5.8      152
Tulare, CA...............          10.1         163.0       1.6       183      744       8.1       24
Ventura, CA..............          26.3         316.7       0.6       273    1,019       6.5       90

Yolo, CA.................           6.6         103.2       1.4       203    1,114       7.7       33
Adams, CO................          10.5         201.2       3.4        46    1,016       6.8       68
Arapahoe, CO.............          21.5         322.6       1.8       164    1,200       7.1       56
Boulder, CO..............          14.8         178.2       2.7        87    1,216       4.6      247
Denver, CO...............          31.0         500.9       3.1        58    1,248       4.5      254
Douglas, CO..............          11.6         117.1       2.5       105    1,118       7.0       59
El Paso, CO..............          18.7         267.9       3.2        54      934       6.5       90
Jefferson, CO............          20.6         234.4       1.8       164    1,046       5.4      187
Larimer, CO..............          11.6         156.4       4.3        14      938       5.4      187
Weld, CO.................           7.0         100.8      -0.3       316      912       5.6      168

Fairfield, CT............          35.2         424.3       0.2       300    1,479       5.0      215
Hartford, CT.............          27.6         507.2       0.2       300    1,196       4.9      226
New Haven, CT............          23.8         363.4       0.6       273    1,063       4.0      286
New London, CT...........           7.4         123.2       0.5       283    1,016       7.6       39
New Castle, DE...........          19.7         286.0       0.5       283    1,131       5.3      198
Washington, DC...........          39.2         759.2       1.7       177    1,728       3.8      292
Alachua, FL..............           7.0         128.7       3.1        58      880       9.5        9
Bay, FL..................           5.5          77.4       0.9       250      754       5.0      215
Brevard, FL..............          15.3         203.2       4.7         8      932       7.0       59
Broward, FL..............          68.0         781.2       2.5       105      951       5.8      152

Collier, FL..............          13.5         135.8       5.1         4      869       6.8       68
Duval, FL................          28.6         490.3       3.4        46      967       6.4      100
Escambia, FL.............           8.1         131.4       3.8        29      809       6.3      108
Hillsborough, FL.........          40.9         666.3       3.7        34      993       8.4       21
Lake, FL.................           7.9          93.9       4.2        16      715       5.9      139
Lee, FL..................          21.3         247.6       4.5        12      806       5.4      187
Leon, FL.................           8.6         147.9       3.1        58      841       5.9      139
Manatee, FL..............          10.4         116.1       2.7        87      816      10.7        2
Marion, FL...............           8.1         100.0       3.8        29      719       9.3       12
Miami-Dade, FL...........          96.5       1,107.4       2.6        96      983       6.0      130

Okaloosa, FL.............           6.3          82.2       2.9        74      855       4.8      233
Orange, FL...............          40.6         797.1       3.2        54      904       6.0      130
Osceola, FL..............           6.6          89.1       3.8        29      707       5.5      177
Palm Beach, FL...........          54.8         579.8       3.6        40      973       5.0      215
Pasco, FL................          10.6         114.2       4.1        18      717       6.2      117
Pinellas, FL.............          32.3         418.6       2.6        96      900       6.3      108
Polk, FL.................          12.9         210.0       3.2        54      783       5.7      160
Sarasota, FL.............          15.5         162.6       2.9        74      838       7.9       27
Seminole, FL.............          14.6         184.7       4.8         7      852       6.0      130
Volusia, FL..............          13.9         169.2       4.7         8      727       4.3      269

Bibb, GA.................           4.5          81.7       1.8       164      790       4.1      279
Chatham, GA..............           8.7         148.5       1.0       238      873       6.5       90
Clayton, GA..............           4.5         120.9       3.9        26      981       7.6       39
Cobb, GA.................          23.9         345.6       2.4       112    1,095       9.4       11
DeKalb, GA...............          19.8         295.7       2.0       142    1,045       7.2       52
Fulton, GA...............          47.2         830.7       4.0        24    1,339       5.4      187
Gwinnett, GA.............          27.1         345.0       3.0        69      980       3.5      304
Hall, GA.................           4.7          83.1       2.6        96      861       4.9      226
Muscogee, GA.............           5.0          92.7       0.1       305      814       6.5       90
Richmond, GA.............           4.8         104.4       1.2       226      887       7.5       41

Honolulu, HI.............          25.6         472.9       2.1       131      997       6.9       63
Ada, ID..................          14.9         229.3       4.2        16      905       7.2       52
Champaign, IL............           4.3          90.4      -0.9       329      894       2.8      320
Cook, IL.................         152.8       2,577.2       1.2       226    1,159       4.5      254
DuPage, IL...............          37.9         610.8       0.4       292    1,156       3.7      296
Kane, IL.................          13.7         209.9       0.2       300      930       7.0       59
Lake, IL.................          22.2         334.9      -0.5       321    1,279      -0.9      341
McHenry, IL..............           8.7          98.9       1.3       216      863       6.7       79
McLean, IL...............           3.8          83.5      -2.0       338      985      10.2        6
Madison, IL..............           6.0          97.9      -1.4       335      807       2.0      329

Peoria, IL...............           4.6         100.8      -0.7       325      975       7.5       41
St. Clair, IL............           5.5          93.2      -0.7       325      821       4.6      247
Sangamon, IL.............           5.2         129.9      -0.4       318    1,011       0.6      337
Will, IL.................          16.1         231.4       1.5       195      919       7.7       33
Winnebago, IL............           6.6         127.3      -1.2       333      863       6.9       63
Allen, IN................           8.8         185.3       1.0       238      834       4.8      233
Elkhart, IN..............           4.7         128.5       3.1        58      869      10.3        4
Hamilton, IN.............           9.2         138.5       2.5       105      963       5.2      205
Lake, IN.................          10.3         190.0       1.0       238      877       4.2      275
Marion, IN...............          23.9         598.0       1.9       153    1,036       7.0       59

St. Joseph, IN...........           5.7         124.7       1.8       164      834       4.8      233
Tippecanoe, IN...........           3.4          83.8       1.4       203      870       4.8      233
Vanderburgh, IN..........           4.8         108.3       1.6       183      822       5.0      215
Johnson, IA..............           4.1          83.9       2.1       131      970       5.8      152
Linn, IA.................           6.7         130.5       0.6       273    1,000       7.8       30
Polk, IA.................          17.1         296.9       2.9        74    1,040       5.9      139
Scott, IA................           5.6          91.0      -0.4       318      843       5.5      177
Johnson, KS..............          23.5         338.6       1.3       216    1,029       6.3      108
Sedgwick, KS.............          12.8         248.5       0.6       273      884       6.5       90
Shawnee, KS..............           5.2          98.5       1.7       177      839       7.3       47

Wyandotte, KS............           3.6          92.3       2.5       105    1,006       6.7       79
Boone, KY................           4.4          84.4       2.4       112      909      10.3        4
Fayette, KY..............          10.9         194.3       2.2       125      917       4.7      242
Jefferson, KY............          25.4         465.3       3.0        69    1,007       7.8       30
Caddo, LA................           7.2         113.5      -1.1       332      813       2.0      329
Calcasieu, LA............           5.2          94.2       1.2       226      920       4.7      242
East Baton Rouge, LA.....          15.3         273.5       1.9       153      955       4.5      254
Jefferson, LA............          13.6         193.1       0.4       292      922       5.5      177
Lafayette, LA............           9.4         129.2      -5.6       343      892      -3.4      343
Orleans, LA..............          12.3         192.7       1.8       164      964       4.8      233

St. Tammany, LA..........           8.0          88.4       1.1       235      852       1.1      336
Cumberland, ME...........          13.7         180.4       1.4       203      937       9.3       12
Anne Arundel, MD.........          15.0         269.1       1.9       153    1,083       3.8      292
Baltimore, MD............          21.2         374.6       0.7       265    1,032       5.8      152
Frederick, MD............           6.4         100.5       0.9       250      968       6.3      108
Harford, MD..............           5.8          92.4       1.6       183    1,008       8.4       21
Howard, MD...............          10.0         169.1       1.6       183    1,259       6.6       87
Montgomery, MD...........          32.6         466.2       0.8       257    1,353       5.9      139
Prince George's, MD......          15.9         317.9       2.1       131    1,112       5.0      215
Baltimore City, MD.......          13.6         338.7       0.9       250    1,209       3.9      289

Barnstable, MA...........           9.4         101.8       0.5       283      856       5.7      160
Bristol, MA..............          17.3         224.7       1.2       226      916       3.9      289
Essex, MA................          24.4         325.5       1.3       216    1,069       5.8      152
Hampden, MA..............          17.8         209.6       1.7       177      932       5.7      160
Middlesex, MA............          53.9         889.4       1.6       183    1,555       9.8        8
Norfolk, MA..............          24.9         349.8       1.8       164    1,144       4.1      279
Plymouth, MA.............          15.5         191.6       1.7       177      944       3.7      296
Suffolk, MA..............          28.3         665.9       3.6        40    1,660       6.1      125
Worcester, MA............          24.4         342.6       2.0       142    1,018       5.2      205
Genesee, MI..............           6.9         134.3       0.9       250      854       4.4      262

Ingham, MI...............           6.0         151.3       2.7        87      955       4.9      226
Kalamazoo, MI............           5.0         117.8       2.4       112      943       5.2      205
Kent, MI.................          14.3         390.8       3.0        69      908       4.2      275
Macomb, MI...............          17.7         322.7       1.4       203    1,022       7.7       33
Oakland, MI..............          39.3         727.5       2.4       112    1,124       5.9      139
Ottawa, MI...............           5.6         124.5       1.3       216      865       6.3      108
Saginaw, MI..............           4.0          85.3       0.2       300      832       7.5       41
Washtenaw, MI............           8.1         209.4       3.6        40    1,109       5.5      177
Wayne, MI................          30.6         715.1       1.8       164    1,120       5.6      168
Anoka, MN................           6.7         121.0       0.7       265    1,027       6.2      117

Dakota, MN...............           9.4         188.0       1.8       164      991       5.2      205
Hennepin, MN.............          39.9         912.2       2.4       112    1,277       6.2      117
Olmsted, MN..............           3.3          96.2       1.2       226    1,151       3.7      296
Ramsey, MN...............          12.7         331.1       0.8       257    1,162       8.9       16
St. Louis, MN............           5.1          98.2       0.1       305      874       4.9      226
Stearns, MN..............           4.2          85.7       0.6       273      884       7.3       47
Washington, MN...........           5.2          82.3       1.5       195      870       6.5       90
Harrison, MS.............           4.5          85.5       1.9       153      713       2.1      327
Hinds, MS................           5.9         120.7       0.3       297      873       5.6      168
Boone, MO................           4.8          93.5       1.5       195      833       4.8      233

Clay, MO.................           5.5         104.8       4.3        14      899       5.3      198
Greene, MO...............           8.5         164.7       1.8       164      802       5.9      139
Jackson, MO..............          20.9         365.9       2.8        83    1,024       3.2      312
St. Charles, MO..........           9.0         145.7       2.7        87      822       6.1      125
St. Louis, MO............          36.3         599.8       1.0       238    1,057       5.3      198
St. Louis City, MO.......          13.2         228.7       1.0       238    1,104       5.7      160
Yellowstone, MT..........           6.4          82.2       0.8       257      879       3.9      289
Douglas, NE..............          19.3         338.7       1.6       183      983       5.4      187
Lancaster, NE............          10.3         170.0       1.4       203      845       6.0      130
Clark, NV................          56.4         947.0       3.7        34      947      12.2        1

Washoe, NV...............          15.0         214.8       5.0         5      932       6.2      117
Hillsborough, NH.........          12.3         200.4       1.4       203    1,137      10.4        3
Merrimack, NH............           5.1          77.2       1.9       153      954       7.3       47
Rockingham, NH...........          11.0         149.5       2.1       131      989       5.5      177
Atlantic, NJ.............           6.5         128.6       1.0       238      843       2.9      318
Bergen, NJ...............          32.8         446.6       0.5       283    1,180       3.8      292
Burlington, NJ...........          10.9         203.3       2.6        96    1,044       5.0      215
Camden, NJ...............          11.9         203.0       2.2       125      988       5.0      215
Essex, NJ................          20.4         338.0       1.8       164    1,251       6.1      125
Gloucester, NJ...........           6.3         106.8       3.5        44      875       4.5      254

Hudson, NJ...............          14.7         255.6       3.7        34    1,355       5.9      139
Mercer, NJ...............          11.1         245.8       1.8       164    1,335       7.1       56
Middlesex, NJ............          22.0         418.1       2.8        83    1,191       4.1      279
Monmouth, NJ.............          20.1         259.4       1.5       195      975       4.5      254
Morris, NJ...............          16.9         285.8       0.0       308    1,478       6.8       68
Ocean, NJ................          13.0         165.9       1.6       183      814       6.3      108
Passaic, NJ..............          12.3         166.4       1.3       216      996       5.8      152
Somerset, NJ.............          10.0         184.5       1.9       153    1,482       2.4      325
Union, NJ................          14.2         220.0       1.3       216    1,234       4.1      279
Bernalillo, NM...........          18.3         327.2       2.0       142      890       5.6      168

Albany, NY...............          10.4         233.5       1.6       183    1,065       2.7      322
Bronx, NY................          18.8         299.8       0.5       283      992       5.6      168
Broome, NY...............           4.6          87.4       0.9       250      808       7.4       44
Dutchess, NY.............           8.5         111.5       0.7       265      979       5.4      187
Erie, NY.................          24.9         471.3       0.9       250      907       6.0      130
Kings, NY................          62.0         688.1       4.1        18      866       4.1      279
Monroe, NY...............          19.1         384.9       0.6       273      974       4.6      247
Nassau, NY...............          54.4         627.2       2.1       131    1,092       2.8      320
New York, NY.............         130.1       2,411.9       1.6       183    1,879       2.6      323
Oneida, NY...............           5.4         105.0       0.8       257      794       6.9       63

Onondaga, NY.............          13.1         246.1       0.7       265      938       2.5      324
Orange, NY...............          10.5         141.6       2.2       125      860       6.2      117
Queens, NY...............          52.8         651.9       1.9       153      974       4.4      262
Richmond, NY.............           9.9         115.3       2.6        96      918       4.6      247
Rockland, NY.............          10.8         122.9       2.1       131      987     -14.9      344
Saratoga, NY.............           6.0          84.8       0.5       283      925       7.4       44
Suffolk, NY..............          53.2         659.4       0.8       257    1,126       6.7       79
Westchester, NY..........          36.8         424.3       1.0       238    1,232       0.5      338
Buncombe, NC.............           9.0         128.5       3.7        34      788       3.7      296
Catawba, NC..............           4.4          86.1       4.1        18      783       5.5      177

Cumberland, NC...........           6.2         118.8       0.7       265      813       6.7       79
Durham, NC...............           8.1         195.3       1.6       183    1,265       3.3      310
Forsyth, NC..............           9.2         182.6       0.6       273      912       3.4      307
Guilford, NC.............          14.2         279.0       0.6       273      883       3.0      316
Mecklenburg, NC..........          37.1         669.0       4.4        13    1,175       5.4      187
New Hanover, NC..........           7.9         110.8       2.7        87      820       6.2      117
Wake, NC.................          33.5         532.8       3.9        26    1,045       6.0      130
Cass, ND.................           7.1         118.6       1.4       203      950       4.3      269
Butler, OH...............           7.6         151.6       2.5       105      905       6.5       90
Cuyahoga, OH.............          35.6         720.4       0.8       257    1,025       4.2      275

Delaware, OH.............           5.1          86.0       2.9        74      979       6.3      108
Franklin, OH.............          31.5         741.4       2.8        83    1,040       6.4      100
Hamilton, OH.............          23.7         513.2       1.5       195    1,095       4.3      269
Lake, OH.................           6.3          94.4      -0.5       321      834       4.8      233
Lorain, OH...............           6.2          97.2       0.9       250      811       4.5      254
Lucas, OH................          10.1         210.1       1.0       238      901       6.9       63
Mahoning, OH.............           5.9          98.7       0.0       308      734       4.3      269
Montgomery, OH...........          11.9         253.6       1.3       216      883       5.6      168
Stark, OH................           8.6         158.2      -0.1       312      770       4.2      275
Summit, OH...............          14.2         267.8       1.2       226      909       4.0      286

Warren, OH...............           4.8          91.2       1.5       195      948       6.9       63
Cleveland, OK............           5.6          80.7       0.1       305      763       6.7       79
Oklahoma, OK.............          27.7         446.8      -1.4       335      967       3.4      307
Tulsa, OK................          22.0         348.8      -0.6       324      934       3.5      304
Clackamas, OR............          14.5         159.1       2.4       112      971       5.1      211
Jackson, OR..............           7.2          87.3       2.6        96      798       4.7      242
Lane, OR.................          11.9         153.0       3.1        58      813       5.3      198
Marion, OR...............          10.4         153.8       2.3       123      836       6.1      125
Multnomah, OR............          33.9         493.4       2.5       105    1,073       6.6       87
Washington, OR...........          18.9         283.8       3.1        58    1,327       3.2      312

Allegheny, PA............          35.8         690.8       0.5       283    1,098       4.6      247
Berks, PA................           9.0         171.8       0.4       292      947       9.2       14
Bucks, PA................          20.0         261.4       2.0       142      960       5.5      177
Butler, PA...............           5.0          85.2      -0.1       312      947       3.0      316
Chester, PA..............          15.5         250.2       1.7       177    1,228       1.8      332
Cumberland, PA...........           6.4         133.0       1.1       235      929       5.6      168
Dauphin, PA..............           7.6         180.2       0.6       273    1,036       7.7       33
Delaware, PA.............          14.1         220.4       1.4       203    1,065       5.2      205
Erie, PA.................           7.0         124.0      -1.6       337      791       1.9      331
Lackawanna, PA...........           5.8          97.9       0.8       257      793       5.9      139

Lancaster, PA............          13.4         236.4       2.4       112      862       5.6      168
Lehigh, PA...............           8.8         187.9       1.3       216    1,004       6.8       68
Luzerne, PA..............           7.5         144.5       1.2       226      825       5.9      139
Montgomery, PA...........          27.6         485.3       1.4       203    1,234       6.4      100
Northampton, PA..........           6.8         113.1       3.6        40      887       4.7      242
Philadelphia, PA.........          35.0         671.5       3.2        54    1,226       5.5      177
Washington, PA...........           5.5          85.8      -2.2       340      973       3.3      310
Westmoreland, PA.........           9.3         133.4      -1.0       331      827       4.9      226
York, PA.................           9.1         177.6       0.7       265      900       5.9      139
Providence, RI...........          17.6         285.6       0.5       283    1,046       8.7       18

Charleston, SC...........          14.6         243.7       3.7        34      916       4.4      262
Greenville, SC...........          13.6         262.2       1.9       153      898       4.3      269
Horry, SC................           8.5         124.7       3.1        58      632       5.5      177
Lexington, SC............           6.4         115.7       2.0       142      791       7.3       47
Richland, SC.............           9.9         219.0       2.0       142      885       6.0      130
Spartanburg, SC..........           6.1         133.0       3.7        34      861       5.9      139
York, SC.................           5.3          89.8       6.0         1      830       8.2       23
Minnehaha, SD............           7.1         125.0       1.5       195      907       6.8       68
Davidson, TN.............          21.5         479.1       4.6        11    1,058       2.3      326
Hamilton, TN.............           9.3         198.4       1.9       153      897       3.6      302

Knox, TN.................          11.9         237.4       2.1       131      887       6.2      117
Rutherford, TN...........           5.3         119.3       3.8        29      917       7.9       27
Shelby, TN...............          20.1         491.9       1.2       226    1,045       6.7       79
Williamson, TN...........           8.3         124.7       5.8         2    1,154       5.7      160
Bell, TX.................           5.3         116.3       0.0       308      868       5.7      160
Bexar, TX................          39.9         846.6       2.4       112      914       4.6      247
Brazoria, TX.............           5.6         106.1       1.9       153    1,045       5.3      198
Brazos, TX...............           4.4         101.3       0.8       257      772       5.8      152
Cameron, TX..............           6.5         138.4       2.2       125      636       4.3      269
Collin, TX...............          23.5         381.5       3.8        29    1,191       5.9      139

Dallas, TX...............          74.9       1,662.8       3.1        58    1,239       6.8       68
Denton, TX...............          14.1         228.8       3.4        46      954       6.8       68
El Paso, TX..............          14.7         299.3       2.4       112      728       4.4      262
Fort Bend, TX............          12.5         174.2       2.1       131      951       0.3      339
Galveston, TX............           6.1         108.0       4.1        18      896       5.4      187
Gregg, TX................           4.2          74.0      -3.4       342      858       1.2      335
Harris, TX...............         112.9       2,262.3      -0.9       329    1,267       2.1      327
Hidalgo, TX..............          12.2         248.5       1.8       164      654       4.8      233
Jefferson, TX............           5.8         122.3      -0.2       315    1,061       5.7      160
Lubbock, TX..............           7.5         137.0       1.4       203      811       4.0      286

McLennan, TX.............           5.2         111.4       2.6        96      850       7.7       33
Midland, TX..............           5.4          83.0      -5.8       344    1,176      -0.3      340
Montgomery, TX...........          10.8         168.4       1.0       238    1,007       4.1      279
Nueces, TX...............           8.3         161.6      -0.5       321      893       4.1      279
Potter, TX...............           4.0          78.9       0.0       308      831       3.1      315
Smith, TX................           6.1         102.6       1.3       216      849       5.3      198
Tarrant, TX..............          41.9         860.4       2.4       112    1,029       6.6       87
Travis, TX...............          39.0         710.0       2.9        74    1,174       5.1      211
Webb, TX.................           5.3          99.1       2.2       125      680       2.9      318
Williamson, TX...........          10.1         158.7       4.1        18    1,009       6.8       68

Davis, UT................           8.2         123.2       4.1        18      831       5.7      160
Salt Lake, UT............          43.6         676.2       3.9        26      993       6.5       90
Utah, UT.................          15.2         223.1       5.3         3      825       7.4       44
Weber, UT................           5.9         103.0       2.9        74      784       5.9      139
Chittenden, VT...........           6.7         102.1       0.2       300      996       6.8       68
Arlington, VA............           9.5         173.0       1.3       216    1,648       3.8      292
Chesterfield, VA.........           8.9         132.4      -0.1       312      877       5.4      187
Fairfax, VA..............          37.6         598.1       1.7       177    1,546       5.6      168
Henrico, VA..............          11.6         190.0       1.0       238      992       5.0      215
Loudoun, VA..............          12.1         160.3       3.1        58    1,155       3.5      304

Prince William, VA.......           9.3         125.5       1.6       183      913       6.5       90
Alexandria City, VA......           6.6          94.3      -0.7       325    1,447       5.0      215
Chesapeake City, VA......           6.0          97.2      -0.4       318      812       6.4      100
Newport News City, VA....           3.9          96.0      -2.1       339      995       3.6      302
Norfolk City, VA.........           5.9         140.9       0.3       297    1,030       3.4      307
Richmond City, VA........           7.8         153.7       1.4       203    1,124       3.2      312
Virginia Beach City, VA..          12.2         176.8       1.1       235      792       3.7      296
Benton, WA...............           5.7          86.9       2.5       105    1,042       8.1       24
Clark, WA................          14.3         150.6       2.8        83      971       6.1      125
King, WA.................          85.7       1,331.3       3.3        51    1,582       8.1       24

Kitsap, WA...............           6.6          85.9       0.4       292      981       6.4      100
Pierce, WA...............          21.7         299.9       4.0        24      951       5.5      177
Snohomish, WA............          20.6         284.9       2.0       142    1,108       5.4      187
Spokane, WA..............          15.6         217.6       3.4        46      883       4.4      262
Thurston, WA.............           8.1         112.0       4.7         8      949       3.7      296
Whatcom, WA..............           7.2          88.3       3.1        58      844       5.1      211
Yakima, WA...............           7.7         124.0       2.7        87      712       4.4      262
Kanawha, WV..............           5.9         101.5      -1.3       334      890       6.5       90
Brown, WI................           6.7         154.6       1.5       195      904       6.7       79
Dane, WI.................          15.0         330.7       2.6        96    1,032      10.1        7

Milwaukee, WI............          25.6         487.0       0.5       283      970       4.5      254
Outagamie, WI............           5.2         107.0       1.4       203      875       4.8      233
Waukesha, WI.............          12.8         239.0       0.4       292    1,006       5.2      205
Winnebago, WI............           3.7          93.1       2.0       142      924       4.4      262
San Juan, PR.............          10.8         245.0      -1.4       (5)      634       2.8      (5)

(1) Includes areas not officially designated as counties. See Technical Note.
(2) Average weekly wages were calculated using unrounded data.
(3) Percent changes were computed from employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(5) This county was not included in the U.S. rankings.

Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs. These 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,
third quarter 2016

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               third quarter
         County by NAICS supersector               2016                     Percent            Percent
                                               (thousands)      September   change,    Third   change,
                                                                  2016     September   quarter  third
                                                              (thousands)  2015-16(2)   2016   quarter
                                                                                              2015-16(2)


United States(3) ............................       9,800.8     142,940.5       1.7   $1,027       5.4
  Private industry...........................       9,501.7     121,392.9       1.8    1,019       5.7
    Natural resources and mining.............         137.6       1,963.4      -5.7    1,020      -0.8
    Construction.............................         780.3       6,898.0       3.4    1,143       5.5
    Manufacturing............................         345.2      12,317.5      -0.6    1,242       6.2
    Trade, transportation, and utilities.....       1,922.9      26,939.5       1.1      867       5.6
    Information..............................         157.8       2,792.9       1.0    1,927       8.4
    Financial activities.....................         859.7       7,973.7       1.7    1,530       6.0
    Professional and business services.......       1,766.7      20,200.9       2.2    1,308       5.3
    Education and health services............       1,590.0      21,741.6       2.8      958       6.0
    Leisure and hospitality..................         822.8      15,811.2       2.4      441       6.8
    Other services...........................         835.9       4,390.8       1.7      705       6.0
  Government.................................         299.1      21,547.5       1.2    1,077       4.6

Los Angeles, CA..............................         472.3       4,357.4       1.6    1,132       5.8
  Private industry...........................         466.1       3,793.2       1.7    1,096       6.4
    Natural resources and mining.............           0.5           8.7       0.0    1,406       4.8
    Construction.............................          13.9         134.1       3.9    1,192       5.5
    Manufacturing............................          12.4         353.8      -3.2    1,287       6.7
    Trade, transportation, and utilities.....          53.7         811.3       0.5      936       7.6
    Information..............................           9.6         224.5       0.3    1,981       9.1
    Financial activities.....................          25.3         217.1       0.4    1,789       4.5
    Professional and business services.......          47.6         603.8       2.0    1,338       4.4
    Education and health services............         216.2         749.5       2.1      898       9.5
    Leisure and hospitality..................          32.1         508.7       2.8      633       6.7
    Other services...........................          27.0         147.2       0.3      743       8.6
  Government.................................           6.2         564.2       1.3    1,383       2.4

Cook, IL.....................................         152.8       2,577.2       1.2    1,159       4.5
  Private industry...........................         151.5       2,279.3       1.2    1,166       4.9
    Natural resources and mining.............           0.1           1.2       5.7    1,194      -1.6
    Construction.............................          12.2          75.7       2.5    1,451       1.8
    Manufacturing............................           6.3         184.8      -1.3    1,250       7.3
    Trade, transportation, and utilities.....          29.8         472.5       0.5      946       4.8
    Information..............................           2.7          52.6      -0.9    1,752       7.4
    Financial activities.....................          15.1         193.0       0.9    2,013       4.9
    Professional and business services.......          32.3         476.5       0.6    1,462       3.0
    Education and health services............          16.3         439.3       2.2    1,016       8.1
    Leisure and hospitality..................          14.1         282.9       3.6      547       7.5
    Other services...........................          17.3          95.9       0.3      919       4.9
  Government.................................           1.3         297.9       0.9    1,107       2.2

New York, NY.................................         130.1       2,411.9       1.6    1,879       2.6
  Private industry...........................         129.2       2,148.9       1.7    1,946       2.7
    Natural resources and mining.............           0.0           0.2       1.2    1,896       1.3
    Construction.............................           2.2          41.2       3.6    1,876       4.7
    Manufacturing............................           2.1          26.5      -3.1    1,343      -0.3
    Trade, transportation, and utilities.....          19.5         253.0      -2.3    1,352       5.9
    Information..............................           4.9         155.6       1.8    2,613       0.5
    Financial activities.....................          19.2         368.6       0.2    3,373       2.6
    Professional and business services.......          27.5         556.9       2.6    2,178       2.6
    Education and health services............           9.8         337.0       2.8    1,341       2.4
    Leisure and hospitality..................          13.7         293.6       1.8      896       5.5
    Other services...........................          20.3         101.6       0.9    1,167       6.1
  Government.................................           0.8         263.0       0.0    1,319       0.1

Harris, TX...................................         112.9       2,262.3      -0.9    1,267       2.1
  Private industry...........................         112.3       1,990.6      -1.4    1,281       2.2
    Natural resources and mining.............           1.8          73.7     -15.6    3,173       5.2
    Construction.............................           7.2         160.8      -1.8    1,354       4.2
    Manufacturing............................           4.8         167.9      -9.5    1,576       6.5
    Trade, transportation, and utilities.....          25.0         462.7      -1.2    1,137       5.1
    Information..............................           1.2          27.1       0.7    1,437       2.3
    Financial activities.....................          11.7         123.8       1.9    1,591       2.3
    Professional and business services.......          23.0         386.5      -2.3    1,569       1.9
    Education and health services............          15.6         291.7       3.7    1,041       3.1
    Leisure and hospitality..................           9.7         229.7       3.2      464       5.7
    Other services...........................          11.7          65.5       0.1      797       0.6
  Government.................................           0.6         271.7       2.6    1,166       1.7

Maricopa, AZ.................................          95.0       1,885.6       3.4      996       7.1
  Private industry...........................          94.2       1,673.1       3.7      985       6.7
    Natural resources and mining.............           0.4           7.5       0.9      936       1.4
    Construction.............................           6.8         103.6       6.0    1,048       8.4
    Manufacturing............................           3.1         115.3      -0.8    1,405       7.6
    Trade, transportation, and utilities.....          18.5         366.1       1.8      900       5.4
    Information..............................           1.5          34.0       0.5    1,498      21.2
    Financial activities.....................          10.7         168.9       5.9    1,281       7.5
    Professional and business services.......          20.6         325.4       4.0    1,055       5.3
    Education and health services............          10.6         285.1       3.6    1,011       6.9
    Leisure and hospitality..................           7.4         205.2       3.5      473       8.7
    Other services...........................           6.0          49.8       1.1      715       7.2
  Government.................................           0.7         212.6       1.5    1,086       9.6

Dallas, TX...................................          74.9       1,662.8       3.1    1,239       6.8
  Private industry...........................          74.4       1,489.3       3.3    1,245       7.0
    Natural resources and mining.............           0.6           8.6      -8.3    3,515      -0.2
    Construction.............................           4.4          86.0       5.2    1,236       8.1
    Manufacturing............................           2.7         108.9       0.1    1,472      14.1
    Trade, transportation, and utilities.....          16.0         338.5       3.2    1,149       9.0
    Information..............................           1.3          49.4       2.8    1,813       3.8
    Financial activities.....................           9.2         159.3       3.7    1,659       5.9
    Professional and business services.......          16.8         339.2       3.4    1,426       6.7
    Education and health services............           9.3         196.0       4.2    1,094       3.8
    Leisure and hospitality..................           6.6         160.4       3.9      509       7.4
    Other services...........................           7.0          42.2       1.2      821       8.2
  Government.................................           0.6         173.5       1.4    1,182       5.0

Orange, CA...................................         116.1       1,563.4       2.1    1,153       6.8
  Private industry...........................         114.6       1,418.5       2.0    1,139       6.9
    Natural resources and mining.............           0.2           2.9      -2.6      918      10.6
    Construction.............................           6.7          97.2       3.5    1,317       7.5
    Manufacturing............................           4.9         155.9      -0.5    1,398       6.2
    Trade, transportation, and utilities.....          16.9         255.8      -0.4    1,021       8.0
    Information..............................           1.3          25.6       2.5    1,922      12.7
    Financial activities.....................          11.0         116.3       0.5    1,778       6.1
    Professional and business services.......          20.5         295.3       2.3    1,364       5.7
    Education and health services............          30.1         200.2       2.8      977       8.8
    Leisure and hospitality..................           8.4         212.7       2.7      515      10.0
    Other services...........................           6.9          45.9       2.5      723       8.4
  Government.................................           1.5         144.9       3.1    1,301       4.8

San Diego, CA................................         107.6       1,415.6       2.2    1,130       4.9
  Private industry...........................         105.7       1,185.5       2.0    1,084       4.8
    Natural resources and mining.............           0.7           9.5      -2.4      723      14.0
    Construction.............................           6.7          76.6       5.4    1,213       8.4
    Manufacturing............................           3.2         107.0      -0.6    1,578       9.8
    Trade, transportation, and utilities.....          14.2         217.4      -0.5      862       4.9
    Information..............................           1.2          23.3      -0.8    1,930       8.7
    Financial activities.....................           9.7          72.1       2.2    1,438       7.1
    Professional and business services.......          18.1         232.1       1.0    1,526      -0.3
    Education and health services............          29.7         192.9       2.5      978       8.7
    Leisure and hospitality..................           8.0         194.4       3.7      506       4.8
    Other services...........................           7.4          51.3       0.7      632       8.8
  Government.................................           1.9         230.1       3.1    1,378       5.1

King, WA.....................................          85.7       1,331.3       3.3    1,582       8.1
  Private industry...........................          85.2       1,165.9       3.4    1,615       8.6
    Natural resources and mining.............           0.4           3.2       4.0    1,208       3.0
    Construction.............................           6.4          69.2       7.1    1,365       8.5
    Manufacturing............................           2.5         104.1      -3.7    1,615       3.1
    Trade, transportation, and utilities.....          14.5         253.9       4.7    1,392      17.8
    Information..............................           2.2          98.1       8.1    4,960       3.1
    Financial activities.....................           6.5          68.1       3.1    1,655       6.2
    Professional and business services.......          17.2         220.9       2.1    1,668       8.3
    Education and health services............          19.4         166.9       4.6    1,051       8.5
    Leisure and hospitality..................           7.1         137.5       3.3      588       8.1
    Other services...........................           9.0          43.9       2.7      907      11.4
  Government.................................           0.5         165.4       2.1    1,348       3.9

Miami-Dade, FL...............................          96.5       1,107.4       2.6      983       6.0
  Private industry...........................          96.2         969.7       2.7      957       5.3
    Natural resources and mining.............           0.5           7.6       9.4      643      13.0
    Construction.............................           6.2          44.3       9.6      969       4.1
    Manufacturing............................           2.9          40.4       2.0      977      14.1
    Trade, transportation, and utilities.....          26.3         276.9       0.4      896       5.9
    Information..............................           1.5          17.8       0.6    1,781      22.1
    Financial activities.....................          10.4          74.0       0.7    1,484       4.4
    Professional and business services.......          21.2         154.8       3.7    1,114       3.2
    Education and health services............          10.3         174.3       3.2      979       2.1
    Leisure and hospitality..................           7.2         138.4       4.1      592       7.2
    Other services...........................           8.2          39.8       2.7      628       6.1
  Government.................................           0.3         137.8       1.9    1,172      10.9

(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,
third quarter 2016


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             third quarter
            State                2016                     Percent           Percent
                             (thousands)      September   change,   Third   change,
                                                2016     September  quarter  third
                                             (thousands)  2015-16    2016   quarter
                                                                            2015-16


United States(2)...........       9,800.8     142,940.5       1.7   $1,027      5.4

Alabama....................         122.7       1,923.8       1.5      870      4.9
Alaska.....................          22.3         337.4      -2.6    1,055      1.2
Arizona....................         154.6       2,695.5       3.1      950      6.9
Arkansas...................          89.1       1,205.4       1.0      794      5.2
California.................       1,493.8      16,871.1       2.4    1,210      6.7
Colorado...................         193.5       2,576.5       2.6    1,062      5.6
Connecticut................         117.5       1,674.2       0.3    1,204      5.0
Delaware...................          31.7         440.7       0.8    1,022      5.6
District of Columbia.......          39.2         759.2       1.7    1,728      3.8
Florida....................         664.8       8,320.2       3.7      905      6.2

Georgia....................         302.2       4,290.4       2.9      969      5.9
Hawaii.....................          40.5         648.4       1.8      956      6.7
Idaho......................          58.9         703.7       3.5      782      6.3
Illinois...................         405.1       5,933.6       0.6    1,062      4.4
Indiana....................         162.2       3,025.9       1.8      866      5.9
Iowa.......................         101.6       1,548.6       0.8      873      6.2
Kansas.....................          90.6       1,377.2       0.5      857      5.9
Kentucky...................         123.6       1,880.2       1.5      857      6.5
Louisiana..................         129.0       1,908.8      -0.9      883      2.9
Maine......................          53.3         616.2       0.9      825      5.9

Maryland...................         168.7       2,648.1       1.4    1,124      5.3
Massachusetts..............         246.1       3,522.9       2.0    1,277      6.8
Michigan...................         242.3       4,292.2       2.1      976      5.9
Minnesota..................         162.7       2,849.5       1.6    1,053      6.4
Mississippi................          73.7       1,126.9       0.7      739      4.7
Missouri...................         193.7       2,782.1       1.6      888      5.0
Montana....................          46.2         464.5       1.5      792      4.3
Nebraska...................          73.2         973.9       0.9      857      5.5
Nevada.....................          82.6       1,300.7       3.8      949     10.1
New Hampshire..............          52.0         655.0       1.8    1,027      7.9

New Jersey.................         267.7       4,000.0       1.8    1,173      5.0
New Mexico.................          58.4         811.5       0.2      830      4.0
New York...................         646.8       9,216.6       1.6    1,222      3.5
North Carolina.............         268.4       4,290.3       2.3      909      5.3
North Dakota...............          32.1         423.2      -3.4      964      0.7
Ohio.......................         293.9       5,347.3       1.1      924      5.4
Oklahoma...................         109.4       1,578.7      -1.3      854      3.5
Oregon.....................         148.4       1,866.5       2.6      970      5.2
Pennsylvania...............         356.6       5,776.7       1.0    1,013      5.4
Rhode Island...............          37.0         481.1       0.8      990      7.6

South Carolina.............         125.0       2,008.6       2.5      832      5.6
South Dakota...............          33.0         424.2       1.1      809      7.0
Tennessee..................         154.0       2,918.8       2.5      912      5.4
Texas......................         657.1      11,830.7       1.3    1,042      4.3
Utah.......................          96.8       1,407.4       3.8      881      6.3
Vermont....................          25.1         309.9       0.5      880      6.2
Virginia...................         267.0       3,801.0       1.0    1,063      5.0
Washington.................         238.5       3,278.9       3.0    1,188      6.9
West Virginia..............          50.6         691.5      -1.6      816      3.9
Wisconsin..................         171.2       2,850.1       1.0      885      6.2

Wyoming....................          26.3         274.8      -4.7      865      0.0

Puerto Rico................          46.0         888.2      -0.4      524      2.3
Virgin Islands.............           3.4          37.4       1.4      778      5.9

(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 07, 2017