County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, June 7, 2017	USDL-17-0769

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

COUNTY EMPLOYMENT AND WAGES
Fourth Quarter 2016

From December 2015 to December 2016, employment increased in 280 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 5.1 percent over the year, above the national job growth rate of 1.2 
percent. Within Williamson, the largest employment increase occurred in professional and business 
services, which gained 1,995 jobs over the year (6.0 percent). Lafayette, La., had the largest over-the-
year percentage decrease in employment among the largest counties in the U.S., with a loss of 5.1 
percent. Within Lafayette, natural resources and mining had the largest decrease in employment, with a 
loss of 2,397 jobs (-19.8 percent).

The U.S. average weekly wage decreased 1.5 percent over the year, declining to $1,067 in the fourth 
quarter of 2016. This is one of only eight declines in the history of the series, which dates back to 1978. 
The 1.5 percent decline in average weekly wages was the largest decline since fourth quarter 2011, when 
average weekly wages decreased by 1.7 percent. The most recent decline occurred in first quarter 2016, 
when the U.S. average weekly wage decreased 0.6 percent over the year. McLean, Ill., had the largest 
over-the-year percentage decrease in average weekly wages with a loss of 9.2 percent. Within McLean, 
an average weekly wage loss of $178 (-10.9 percent) in financial activities made the largest contribution 
to the county’s decrease in average weekly wages. Clayton, Ga., experienced the largest percentage 
increase in average weekly wages with a gain of 11.3 percent over the year. Within Clayton, trade, 
transportation, and utilities had the largest impact on the county’s average weekly wage growth with an 
increase of $265 (25.3 percent) over the year.

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.

Large County Employment

In December 2016, national employment was 143.7 million (as measured by the QCEW program). Over 
the year, employment increased 1.2 percent, or 1.8 million. In December 2016, the 344 U.S. counties 
with 75,000 or more jobs accounted for 72.8 percent of total U.S. employment and 78.1 percent of total 
wages. These 344 counties had a net job growth of 1.4 million over the year, accounting for 80.7 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 215,600 jobs, which was 12.2 percent of the overall 
job increase for the U.S. (See table A.)

Employment declined in 58 of the largest counties from December 2015 to December 2016. Lafayette, 
La., had the largest over-the-year percentage decrease in employment (-5.1 percent), followed by Gregg, 
Texas; Midland, Texas; Erie, Pa.; and Kanawha, W.Va. (See table 1.)

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

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                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
      December 2016 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |          December 2015-16        |          December 2015-16
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           143,749.9| United States             1,773.6| United States                 1.2
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,415.7| Los Angeles, Calif.          50.2| Williamson, Tenn.             5.1
 Cook, Ill.                2,590.2| Dallas, Texas                45.7| York, S.C.                    4.6
 New York, N.Y.            2,471.6| Maricopa, Ariz.              45.2| Williamson, Texas             4.5
 Harris, Texas             2,272.0| King, Wash.                  42.7| Utah, Utah                    4.5
 Maricopa, Ariz.           1,926.9| Orange, Calif.               31.8| Northampton, Pa.              4.4
 Dallas, Texas             1,688.4| Fulton, Ga.                  30.4| Brevard, Fla.                 4.2
 Orange, Calif.            1,588.8| Santa Clara, Calif.          25.7| Seminole, Fla.                4.2
 San Diego, Calif.         1,427.5| Clark, Nev.                  23.7| Galveston, Texas              4.0
 King, Wash.               1,340.4| San Diego, Calif.            21.8| Thurston, Wash.               4.0
 Miami-Dade, Fla.          1,132.9| Orange, Fla.                 21.5| Benton, Wash.                 3.8
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation declined to $1,067, a 1.5 percent decrease, during the year ending 
in the fourth quarter of 2016. Among the 344 largest counties, 290 had over-the-year decreases in 
average weekly wages. McLean, Ill., had the largest percentage wage decrease among the largest U.S. 
counties (-9.2 percent). (See table B.)

Of the 344 largest counties, 48 experienced over-the-year increases in average weekly wages. Clayton, 
Ga., had the largest percentage increase in average weekly wages (11.3 percent), followed by 
Washington, Pa.; Marin, Calif.; Elkhart, Ind.; San Francisco, Calif.; and Champaign, Ill. (See table 1.)

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

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Decrease in average weekly    |    Percent decrease in average 
        fourth quarter 2016       |    wage, fourth quarter 2015-16  |        weekly wage, fourth
                                  |                                  |          quarter 2015-16
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,067| United States                -$16| United States                -1.5
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,365| McLean, Ill.                 -$93| McLean, Ill.                 -9.2
 New York, N.Y.              2,212| Douglas, Colo.                -88| Clay, Mo.                    -8.3
 San Mateo, Calif.           2,098| Clay, Mo.                     -83| Lafayette, La.               -8.0
 San Francisco, Calif.       2,068| Morris, N.J.                  -80| Douglas, Colo.               -6.8
 Suffolk, Mass.              1,888| Lafayette, La.                -79| Passaic, N.J.                -6.0
 Washington, D.C.            1,763| Washington, Ore.              -75| Washington, Ore.             -5.8
 Arlington, Va.              1,677| Passaic, N.J.                 -67| Tarrant, Texas               -5.7
 Fairfield, Conn.            1,676| Fairfield, Conn.              -66| Sedgwick, Kan.               -5.5
 Fairfax, Va.                1,610| Lake, Ill.                    -65| Harford, Md.                 -5.4
 Somerset, N.J.              1,563| Harris, Texas                 -65| Fort Bend, Texas             -5.2
--------------------------------------------------------------------------------------------------------

Ten Largest U.S. Counties

Among the 10 largest counties, 9 had over-the-year percentage increases in employment in December 
2016. King, Wash., had the largest gain (3.3 percent). Within King, trade, transportation, and utilities 
had the largest over-the-year employment level increase, with a gain of 11,720 jobs, or 4.7 percent.
Harris, Texas, had the only percentage decrease in employment among the 10 largest counties (-1.3 
percent). Within Harris, manufacturing had the largest over-the-year employment level decrease, with a 
loss of 14,974 jobs, or -8.3 percent. (See table 2.)

Average weekly wages decreased over the year in 9 of the 10 largest U.S. counties. Harris, Texas, 
experienced the largest percentage loss in average weekly wages (-4.7 percent). Within Harris, 
professional and business services had the largest impact on the county’s average weekly wage decline. 
Within professional and business services, average weekly wages decreased by $92, or -5.2 percent, 
over the year. King, Wash., had the only percentage gain in average weekly wages among the 10 largest 
counties (3.5 percent). Within King, trade, transportation, and utilities had the largest impact on the 
county’s average weekly wage growth with an increase of $249 (20.2 percent) over the year.

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. December 2016 employment and 2016 fourth 
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 9.9 million employer reports cover 143.7 million full- and part-time workers. Data for the 
fourth 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 first quarter 2017 is scheduled to be released on 
Wednesday, September 6, 2017.

 ----------------------------------------------------------------------------------------------------------
|                                                                                                          |
|                                 Upcoming Industry Changes to QCEW Data                                   |
|                                                                                                          |
|  Beginning with the release of first quarter 2017 data, the program will switch to the 2017 version of   |
|  the North American Industry Classification System (NAICS) as the basis for the assignment and           |
|  tabulation of economic data by industry. For more information on the change, please see the Federal     |
|  Register notice at www.census.gov/eos/www/naics/federal_register_notices/notices/fr08au16.pdf.          |
|                                                                                                          |
 ----------------------------------------------------------------------------------------------------------






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,
fourth quarter 2016

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)         fourth quarter                Percent    Ranking            Percent   Ranking
                               2016         December    change,      by      Fourth   change,     by
                           (thousands)        2016      December   percent   quarter  fourth    percent
                                          (thousands)  2015-16(3)  change     2016    quarter   change
                                                                                     2015-16(3)

United States(4).........       9,869.9     143,749.9       1.2        -    $1,067      -1.5       -

Jefferson, AL............          18.5         343.9       0.5       242    1,043      -0.7       95
Madison, AL..............           9.5         195.2       1.8       114    1,098      -4.0      311
Mobile, AL...............          10.0         169.7      -0.4       308      938      -0.5       76
Montgomery, AL...........           6.4         132.6       1.2       172      942      -0.6       84
Shelby, AL...............           5.8          84.4      -0.4       308      998      -2.2      223
Tuscaloosa, AL...........           4.5          92.5      -0.3       302      873      -1.0      120
Anchorage, AK............           8.4         149.2      -2.1       338    1,082      -4.9      327
Maricopa, AZ.............          96.5       1,926.9       2.4        76      994      -2.3      233
Pima, AZ.................          18.8         367.2       1.3       164      860      -3.4      288
Benton, AR...............           6.2         117.5       3.1        32    1,017      -2.5      242

Pulaski, AR..............          14.5         250.7       0.6       230      949      -2.6      252
Washington, AR...........           5.9         104.7       1.8       114      950      -0.2       60
Alameda, CA..............          61.4         760.6       2.0       105    1,377      -1.9      191
Butte, CA................           8.2          81.3       1.8       114      790      -1.3      144
Contra Costa, CA.........          31.7         364.3       2.0       105    1,289       0.2       39
Fresno, CA...............          33.6         371.4       1.8       114      857       1.2       16
Kern, CA.................          18.1         310.3       0.8       211      868      -2.0      198
Los Angeles, CA..........         472.0       4,415.7       1.1       184    1,256      -0.6       84
Marin, CA................          12.5         115.3       1.2       172    1,378       4.3        3
Merced, CA...............           6.4          75.9       3.2        28      807       1.3       15

Monterey, CA.............          13.4         170.2       2.4        76      915      -0.2       60
Napa, CA.................           5.8          73.2       0.4       250    1,065      -0.2       60
Orange, CA...............         116.3       1,588.8       2.0       105    1,200      -0.6       84
Placer, CA...............          12.5         157.4       2.9        48    1,083       2.0       10
Riverside, CA............          60.1         707.1       3.1        32      835      -0.5       76
Sacramento, CA...........          55.8         643.7       2.0       105    1,132      -0.4       70
San Bernardino, CA.......          56.1         725.7      -0.1       287      890       0.5       33
San Diego, CA............         107.8       1,427.5       1.6       139    1,170      -1.5      164
San Francisco, CA........          59.9         715.5       2.7        58    2,068       3.7        5
San Joaquin, CA..........          17.4         242.6       3.4        20      893      -0.3       67

San Luis Obispo, CA......          10.3         113.7       1.9       110      884      -2.5      242
San Mateo, CA............          27.6         398.8       1.7       130    2,098      -1.5      164
Santa Barbara, CA........          15.3         192.0       0.0       281    1,025      -1.2      138
Santa Clara, CA..........          70.9       1,064.0       2.5        71    2,365       0.9       18
Santa Cruz, CA...........           9.5          99.4       1.6       139      933      -2.0      198
Solano, CA...............          11.0         138.2       1.9       110    1,074      -0.9      110
Sonoma, CA...............          19.6         203.5       1.5       146    1,018      -2.5      242
Stanislaus, CA...........          14.9         182.3       1.5       146      884       0.0       49
Tulare, CA...............          10.0         160.0       3.1        32      772       0.9       18
Ventura, CA..............          26.4         322.2      -0.1       287    1,044      -1.6      168

Yolo, CA.................           6.6          98.2       0.9       205    1,106      -3.7      301
Adams, CO................          10.5         202.0       3.6        14    1,022      -1.3      144
Arapahoe, CO.............          21.6         324.6       1.6       139    1,227      -1.8      183
Boulder, CO..............          14.7         179.9       3.0        39    1,237      -2.4      237
Denver, CO...............          30.7         501.7       2.8        50    1,287      -0.4       70
Douglas, CO..............          11.6         118.9       1.8       114    1,204      -6.8      341
El Paso, CO..............          18.5         268.0       2.7        58      943      -1.4      149
Jefferson, CO............          21.5         234.4       0.7       223    1,072      -0.9      110
Larimer, CO..............          11.6         154.0       2.5        71      980      -0.6       84
Weld, CO.................           6.8         100.4       0.2       264      900      -2.9      268

Fairfield, CT............          35.2         426.8      -0.9       322    1,676      -3.8      306
Hartford, CT.............          27.6         512.3       0.3       257    1,264      -3.2      282
New Haven, CT............          23.8         368.5       0.4       250    1,094      -2.8      266
New London, CT...........           7.4         123.3       0.8       211    1,023      -3.3      286
New Castle, DE...........          19.5         291.3      -0.8       318    1,166      -2.6      252
Washington, DC...........          39.5         760.9       0.5       242    1,763       0.1       40
Alachua, FL..............           7.1         130.3       3.0        39      864      -5.1      333
Bay, FL..................           5.5          76.1       0.3       257      783      -0.6       84
Brevard, FL..............          15.5         206.1       4.2         6      941      -1.6      168
Broward, FL..............          68.7         802.5       1.8       114    1,000      -1.9      191

Collier, FL..............          13.7         150.2       3.6        14      915      -4.5      323
Duval, FL................          29.0         499.0       2.6        65    1,001      -1.2      138
Escambia, FL.............           8.2         131.7       2.8        50      830      -3.3      286
Hillsborough, FL.........          41.5         686.9       2.3        89    1,010      -2.6      252
Lake, FL.................           8.0          96.0       3.2        28      721      -2.4      237
Lee, FL..................          21.7         259.8       2.5        71      844       0.4       37
Leon, FL.................           8.7         148.3       2.1        98      860      -2.6      252
Manatee, FL..............          10.6         122.7       1.2       172      809      -0.9      110
Marion, FL...............           8.2         102.7       3.5        19      750      -0.1       55
Miami-Dade, FL...........          97.5       1,132.9       1.3       164    1,029      -2.5      242

Okaloosa, FL.............           6.3          81.4       1.9       110      869      -1.0      120
Orange, FL...............          41.2         813.7       2.7        58      940      -0.5       76
Osceola, FL..............           6.7          90.1       2.1        98      724      -0.5       76
Palm Beach, FL...........          55.5         602.8       2.4        76    1,055      -2.4      237
Pasco, FL................          10.7         117.1       3.0        39      738      -1.5      164
Pinellas, FL.............          32.6         428.2       2.4        76      965      -1.6      168
Polk, FL.................          13.0         215.0       2.1        98      799      -2.2      223
Sarasota, FL.............          15.7         169.1       2.9        48      902      -1.0      120
Seminole, FL.............          14.8         188.1       4.2         6      897       0.0       49
Volusia, FL..............          14.1         170.9       3.7        11      761       0.1       40

Bibb, GA.................           4.6          83.0       1.4       156      816      -2.6      252
Chatham, GA..............           8.8         150.4       1.7       130      886      -3.7      301
Clayton, GA..............           4.5         124.1       2.2        90    1,006      11.3        1
Cobb, GA.................          24.2         353.4       2.6        65    1,094      -1.9      191
DeKalb, GA...............          20.0         298.7       1.2       172    1,067       0.5       33
Fulton, GA...............          47.9         845.7       3.7        11    1,387      -2.0      198
Gwinnett, GA.............          27.4         350.2       2.6        65    1,022      -1.2      138
Hall, GA.................           4.7          84.4       2.4        76      929       0.1       40
Muscogee, GA.............           5.0          94.0       0.7       223      841      -3.7      301
Richmond, GA.............           4.8         105.5       0.6       230      869      -1.8      183

Honolulu, HI.............          25.7         478.7       0.3       257      994      -1.0      120
Ada, ID..................          15.1         230.0       3.6        14      937      -0.4       70
Champaign, IL............           4.3          89.9      -0.8       318      946       3.7        5
Cook, IL.................         152.6       2,590.2       0.6       230    1,250      -1.6      168
DuPage, IL...............          37.9         616.7      -0.1       287    1,209      -2.6      252
Kane, IL.................          13.7         209.9       0.2       264      963      -0.9      110
Lake, IL.................          22.3         332.4      -0.3       302    1,376      -4.5      323
McHenry, IL..............           8.7          96.7       0.1       268      891      -2.0      198
McLean, IL...............           3.8          83.8      -0.7       316      918      -9.2      344
Madison, IL..............           6.0         100.5       1.7       130      838      -3.8      306

Peoria, IL...............           4.5         100.2      -2.1       338      990      -2.3      233
St. Clair, IL............           5.4          94.4      -0.1       287      830      -2.0      198
Sangamon, IL.............           5.2         127.6      -1.3       327    1,024      -3.5      289
Will, IL.................          16.1         236.8       3.1        32      938      -2.5      242
Winnebago, IL............           6.6         128.0      -1.4       330      875      -2.5      242
Allen, IN................           8.8         185.5       0.6       230      848      -2.3      233
Elkhart, IN..............           4.7         130.3       3.3        24      918       4.0        4
Hamilton, IN.............           9.2         138.0       2.0       105    1,018       0.1       40
Lake, IN.................          10.4         188.5      -0.1       287      910       0.1       40
Marion, IN...............          23.9         598.0       0.7       223    1,053      -0.8      104

St. Joseph, IN...........           5.7         124.3       0.8       211      861       0.6       29
Tippecanoe, IN...........           3.4          83.6       0.7       223      895      -1.1      127
Vanderburgh, IN..........           4.8         108.1       0.6       230      873      -1.4      149
Johnson, IA..............           4.2          84.3       2.8        50      951       0.1       40
Linn, IA.................           6.7         129.9      -0.7       316    1,057      -1.1      127
Polk, IA.................          17.2         296.5       1.8       114    1,089      -0.7       95
Scott, IA................           5.6          91.5       0.2       264      876      -3.1      275
Johnson, KS..............          23.7         344.2       1.4       156    1,065      -2.9      268
Sedgwick, KS.............          12.8         250.1       0.0       281      903      -5.5      337
Shawnee, KS..............           5.2          98.5       1.2       172      843      -1.4      149

Wyandotte, KS............           3.6          91.9       2.2        90    1,035      -0.3       67
Boone, KY................           4.4          87.4       2.4        76      905      -2.0      198
Fayette, KY..............          10.9         196.5      -0.3       302      968       3.5        7
Jefferson, KY............          25.4         469.7       1.9       110    1,026      -2.2      223
Caddo, LA................           7.3         114.6      -1.2       324      859      -1.9      191
Calcasieu, LA............           5.2          94.7       1.0       194      922      -4.2      317
East Baton Rouge, LA.....          15.4         269.1      -0.2       296    1,005      -1.0      120
Jefferson, LA............          13.8         194.8      -0.8       318      957      -2.2      223
Lafayette, LA............           9.4         129.8      -5.1       344      913      -8.0      342
Orleans, LA..............          12.4         194.5      -0.2       296      996      -2.1      213

St. Tammany, LA..........           8.1          88.8      -0.2       296      906      -2.2      223
Cumberland, ME...........          13.9         180.4       1.1       184      981      -2.3      233
Anne Arundel, MD.........          15.1         271.8       1.4       156    1,159       0.9       18
Baltimore, MD............          21.3         380.8       0.0       281    1,085      -0.6       84
Frederick, MD............           6.4         101.0       0.3       257      971      -3.6      294
Harford, MD..............           5.8          93.6      -0.4       308      982      -5.4      336
Howard, MD...............          10.0         169.1       0.7       223    1,298      -1.6      168
Montgomery, MD...........          32.9         471.7       0.8       211    1,422      -0.8      104
Prince George's, MD......          16.0         322.1       2.4        76    1,094      -1.1      127
Baltimore City, MD.......          13.7         341.0       0.6       230    1,307       0.5       33

Barnstable, MA...........           9.5          91.0       0.9       205      940      -1.8      183
Bristol, MA..............          17.5         228.3       1.6       139      941      -4.4      319
Essex, MA................          24.8         324.4       0.4       250    1,124      -2.5      242
Hampden, MA..............          18.1         210.2       1.0       194      952      -4.1      315
Middlesex, MA............          54.3         900.3       1.2       172    1,529      -2.0      198
Norfolk, MA..............          25.2         354.2       1.1       184    1,307      -1.4      149
Plymouth, MA.............          15.7         190.9       1.5       146    1,013      -2.1      213
Suffolk, MA..............          28.9         669.9       2.1        98    1,888      -3.2      282
Worcester, MA............          24.8         344.8       0.8       211    1,046      -3.6      294
Genesee, MI..............           6.9         135.4       0.6       230      889      -3.6      294

Ingham, MI...............           6.0         151.9       2.2        90    1,032       0.1       40
Kalamazoo, MI............           5.0         118.2       1.4       156      985      -1.4      149
Kent, MI.................          14.3         398.0       1.6       139      936      -1.4      149
Macomb, MI...............          17.6         322.8       1.0       194    1,069      -2.7      259
Oakland, MI..............          39.2         731.9       1.5       146    1,201      -1.7      181
Ottawa, MI...............           5.6         122.5       1.7       130      952       0.4       37
Saginaw, MI..............           3.9          85.7      -0.3       302      865      -0.9      110
Washtenaw, MI............           8.1         211.3       1.5       146    1,100      -1.4      149
Wayne, MI................          30.5         722.7       1.7       130    1,188      -1.8      183
Anoka, MN................           6.8         121.9       1.3       164      988      -4.6      325

Dakota, MN...............           9.5         188.3       1.0       194    1,010      -3.9      309
Hennepin, MN.............          41.1         920.7       2.2        90    1,290      -1.1      127
Olmsted, MN..............           3.3          96.1       1.1       184    1,073       0.9       18
Ramsey, MN...............          12.8         328.5      -0.1       287    1,166      -1.6      168
St. Louis, MN............           5.1          96.9      -0.1       287      870       0.1       40
Stearns, MN..............           4.2          86.1       0.5       242      868      -1.8      183
Washington, MN...........           5.2          82.1       0.5       242      899      -0.2       60
Harrison, MS.............           4.6          84.9       0.1       268      731       0.0       49
Hinds, MS................           5.9         121.9      -0.2       296      870      -2.1      213
Boone, MO................           4.9          93.5       0.6       230      841       1.9       11

Clay, MO.................           5.6         104.0       3.4        20      921      -8.3      343
Greene, MO...............           8.6         165.7       1.0       194      807      -1.1      127
Jackson, MO..............          21.2         367.4       1.8       114    1,070      -2.2      223
St. Charles, MO..........           9.1         145.6       1.3       164      839      -3.6      294
St. Louis, MO............          36.9         604.3       0.1       268    1,131      -1.6      168
St. Louis City, MO.......          13.5         225.2       0.0       281    1,124      -1.6      168
Yellowstone, MT..........           6.5          81.0      -0.5       312      916      -0.8      104
Douglas, NE..............          19.6         340.7       0.7       223      986      -0.8      104
Lancaster, NE............          10.5         169.5       0.1       268      853       0.0       49
Clark, NV................          56.4         952.7       2.6        65      909      -1.2      138

Washoe, NV...............          15.0         215.3       3.4        20      942      -1.4      149
Hillsborough, NH.........          12.3         204.2       1.0       194    1,202      -4.9      327
Merrimack, NH............           5.1          77.5       1.0       194    1,017      -2.7      259
Rockingham, NH...........          10.9         149.1       1.2       172    1,064      -4.9      327
Atlantic, NJ.............           6.6         122.7      -1.7       335      885      -1.3      144
Bergen, NJ...............          33.2         458.7       0.8       211    1,289      -2.7      259
Burlington, NJ...........          11.1         208.1       3.0        39    1,077      -4.2      317
Camden, NJ...............          12.2         205.5       1.7       130    1,076      -1.1      127
Essex, NJ................          20.7         343.9       0.9       205    1,297      -0.2       60
Gloucester, NJ...........           6.4         109.6       3.0        39      918      -2.4      237

Hudson, NJ...............          15.2         260.6       3.3        24    1,355      -1.6      168
Mercer, NJ...............          11.2         252.0       0.4       250    1,346      -0.1       55
Middlesex, NJ............          22.4         430.4       3.0        39    1,240      -2.2      223
Monmouth, NJ.............          20.2         260.2       0.6       230    1,068      -2.1      213
Morris, NJ...............          17.1         290.9       0.1       268    1,524      -5.0      332
Ocean, NJ................          13.1         162.5       1.4       156      871      -3.1      275
Passaic, NJ..............          12.6         170.1       1.1       184    1,042      -6.0      340
Somerset, NJ.............          10.2         187.6       1.3       164    1,563      -0.7       95
Union, NJ................          14.5         221.9       1.1       184    1,362      -0.4       70
Bernalillo, NM...........          18.3         327.8       1.2       172      895      -1.4      149

Albany, NY...............          10.4         237.1       1.2       172    1,094      -1.5      164
Bronx, NY................          18.8         302.7      -0.3       302    1,007       0.6       29
Broome, NY...............           4.6          88.0       0.1       268      799      -4.1      315
Dutchess, NY.............           8.5         112.7      -0.2       296    1,010      -2.7      259
Erie, NY.................          24.9         473.8       0.2       264      941      -2.1      213
Kings, NY................          62.3         705.6       3.0        39      906      -1.4      149
Monroe, NY...............          19.1         390.0       0.5       242      973      -3.5      289
Nassau, NY...............          54.5         640.4       1.7       130    1,220      -1.4      149
New York, NY.............         129.8       2,471.6       0.7       223    2,212      -1.1      127
Oneida, NY...............           5.4         105.7       1.6       139      811      -3.0      272

Onondaga, NY.............          13.1         248.1       0.5       242      972      -2.1      213
Orange, NY...............          10.5         144.1       1.8       114      886      -2.5      242
Queens, NY...............          53.0         664.0       2.4        76    1,019      -0.9      110
Richmond, NY.............           9.8         118.3       2.2        90      940      -2.4      237
Rockland, NY.............          10.9         124.1       2.8        50    1,037      -3.2      282
Saratoga, NY.............           6.0          84.5      -0.1       287      945      -2.9      268
Suffolk, NY..............          53.3         661.4       0.9       205    1,147      -3.5      289
Westchester, NY..........          36.8         431.1       1.2       172    1,395      -3.7      301
Buncombe, NC.............           9.1         130.3       3.1        32      837      -0.7       95
Catawba, NC..............           4.4          87.3       3.1        32      818      -1.3      144

Cumberland, NC...........           6.2         120.4       0.1       268      799      -1.8      183
Durham, NC...............           8.2         198.7       1.2       172    1,254      -1.6      168
Forsyth, NC..............           9.2         184.8       0.4       250      953      -2.2      223
Guilford, NC.............          14.3         283.9       0.8       211      898      -3.1      275
Mecklenburg, NC..........          37.3         674.2       2.1        98    1,193      -0.7       95
New Hanover, NC..........           8.0         110.5       2.7        58      865      -0.2       60
Wake, NC.................          33.7         541.5       3.2        28    1,085       0.7       25
Cass, ND.................           7.2         117.8       0.6       230      961      -1.7      181
Butler, OH...............           7.6         154.1       1.1       184      925      -2.5      242
Cuyahoga, OH.............          35.8         723.3       0.1       268    1,088      -0.7       95

Delaware, OH.............           5.1          86.2       2.6        65      996      -0.6       84
Franklin, OH.............          31.7         759.2       2.8        50    1,023      -4.4      319
Hamilton, OH.............          23.8         514.8       1.4       156    1,119      -2.0      198
Lake, OH.................           6.3          94.2      -1.0       323      865      -2.9      268
Lorain, OH...............           6.2          97.8       0.8       211      825      -2.5      242
Lucas, OH................          10.1         211.0      -0.4       308      903      -4.0      311
Mahoning, OH.............           5.9          98.7      -0.5       312      746      -2.2      223
Montgomery, OH...........          11.9         255.6       0.3       257      896      -3.0      272
Stark, OH................           8.6         158.7       0.1       268      795      -3.2      282
Summit, OH...............          14.3         268.6       0.6       230      944      -1.4      149

Warren, OH...............           4.8          89.8       1.5       146      946      -1.3      144
Cleveland, OK............           5.6          80.5      -1.2       324      766      -1.9      191
Oklahoma, OK.............          27.8         449.7      -1.4       330      975      -4.9      327
Tulsa, OK................          22.1         353.4      -0.6       314      942      -3.6      294
Clackamas, OR............          14.6         159.6       2.4        76      987      -1.0      120
Jackson, OR..............           7.3          87.3       2.4        76      803       1.5       12
Lane, OR.................          11.9         153.9       2.4        76      845       0.8       24
Marion, OR...............          10.4         149.4       2.8        50      861       0.7       25
Multnomah, OR............          34.2         498.8       1.8       114    1,099      -0.1       55
Washington, OR...........          19.0         288.2       2.8        50    1,209      -5.8      339

Allegheny, PA............          35.8         693.9       0.3       257    1,140      -1.1      127
Berks, PA................           9.0         172.6       0.5       242      941      -3.1      275
Bucks, PA................          20.0         263.1       1.5       146    1,021      -1.8      183
Butler, PA...............           5.0          85.3      -0.3       302    1,004       0.7       25
Chester, PA..............          15.5         251.2       0.8       211    1,308      -3.5      289
Cumberland, PA...........           6.5         134.0       0.5       242      921      -3.6      294
Dauphin, PA..............           7.5         180.6       0.4       250    1,030      -4.9      327
Delaware, PA.............          14.1         224.1       1.1       184    1,111      -3.0      272
Erie, PA.................           7.0         121.8      -2.2       340      809      -4.0      311
Lackawanna, PA...........           5.8          99.1       1.0       194      797      -1.6      168

Lancaster, PA............          13.4         237.2       1.5       146      877      -3.1      275
Lehigh, PA...............           8.8         189.1      -0.2       296    1,051      -2.1      213
Luzerne, PA..............           7.5         144.6      -1.9       337      816      -0.5       76
Montgomery, PA...........          27.7         493.5       1.3       164    1,288      -3.1      275
Northampton, PA..........           6.8         115.4       4.4         5      896      -3.7      301
Philadelphia, PA.........          35.1         676.1       2.1        98    1,235      -3.9      309
Washington, PA...........           5.5          85.3      -1.3       327    1,110       4.9        2
Westmoreland, PA.........           9.3         133.3      -1.6       334      833      -4.0      311
York, PA.................           9.1         178.5       0.8       211      909      -2.0      198
Providence, RI...........          18.0         287.7       0.1       268    1,077      -2.2      223

Charleston, SC...........          14.9         245.0       1.7       130      937       0.9       18
Greenville, SC...........          13.9         266.6       1.3       164      932      -0.5       76
Horry, SC................           8.7         117.9       3.1        32      654       0.0       49
Lexington, SC............           6.3         119.3       1.8       114      794      -0.4       70
Richland, SC.............          10.1         219.7       0.9       205      885      -2.6      252
Spartanburg, SC..........           6.1         136.7       3.3        24      877      -2.1      213
York, SC.................           5.4          91.7       4.6         2      851       0.5       33
Minnehaha, SD............           7.2         126.1       1.8       114      921      -0.9      110
Davidson, TN.............          21.8         481.3       3.0        39    1,163      -0.9      110
Hamilton, TN.............           9.4         199.6       1.3       164    1,004      -2.7      259

Knox, TN.................          12.0         239.6       1.5       146      959      -2.0      198
Rutherford, TN...........           5.4         121.0       2.6        65      947      -0.6       84
Shelby, TN...............          20.3         500.3       0.0       281    1,087      -0.8      104
Williamson, TN...........           8.5         127.8       5.1         1    1,208      -2.0      198
Bell, TX.................           5.2         118.0       0.1       268      883      -0.5       76
Bexar, TX................          40.4         855.8       2.2        90      956      -1.1      127
Brazoria, TX.............           5.6         107.3       1.7       130    1,049      -3.8      306
Brazos, TX...............           4.5         102.5       1.5       146      785       0.9       18
Cameron, TX..............           6.5         140.4       1.2       172      640      -2.0      198
Collin, TX...............          23.9         389.5       3.4        20    1,222      -0.7       95

Dallas, TX...............          75.6       1,688.4       2.8        50    1,279      -0.9      110
Denton, TX...............          14.4         232.4       3.7        11      969      -0.9      110
El Paso, TX..............          14.8         302.3       1.8       114      729      -2.0      198
Fort Bend, TX............          12.7         177.2       1.8       114      976      -5.2      335
Galveston, TX............           6.2         110.0       4.0         8      918      -1.6      168
Gregg, TX................           4.3          74.1      -3.5       343      862      -5.1      333
Harris, TX...............         113.7       2,272.0      -1.3       327    1,319      -4.7      326
Hidalgo, TX..............          12.2         256.1       3.0        39      648      -2.0      198
Jefferson, TX............           5.8         121.4      -1.5       332    1,081      -2.8      266
Lubbock, TX..............           7.5         140.1       2.2        90      835      -0.4       70

McLennan, TX.............           5.2         112.8       2.1        98      859      -1.0      120
Midland, TX..............           5.4          84.8      -2.9       342    1,297       2.4        9
Montgomery, TX...........          10.9         171.3       1.1       184    1,024      -1.8      183
Nueces, TX...............           8.3         162.6       0.1       268      901      -2.7      259
Potter, TX...............           4.0          79.8       0.0       281      874       0.0       49
Smith, TX................           6.1         103.1       0.8       211      865      -2.0      198
Tarrant, TX..............          42.3         876.2       2.5        71    1,027      -5.7      338
Travis, TX...............          39.5         717.2       2.4        76    1,244       1.1       17
Webb, TX.................           5.3         100.0       1.4       156      683      -3.5      289
Williamson, TX...........          10.2         162.5       4.5         3    1,007      -0.7       95

Davis, UT................           8.3         122.8       3.6        14      862      -0.2       60
Salt Lake, UT............          44.3         682.1       2.7        58    1,028      -0.7       95
Utah, UT.................          15.6         225.1       4.5         3      858      -1.2      138
Weber, UT................           5.9         103.2       1.4       156      791       0.6       29
Chittenden, VT...........           6.8         102.0      -0.6       314    1,033      -3.6      294
Arlington, VA............           9.4         174.3       0.8       211    1,677      -1.4      149
Chesterfield, VA.........           9.1         138.7      -1.5       332      901       0.7       25
Fairfax, VA..............          37.9         604.5       1.0       194    1,610      -0.6       84
Henrico, VA..............          11.7         192.6       0.6       230    1,009      -1.1      127
Loudoun, VA..............          12.2         161.8       2.2        90    1,233      -0.1       55

Prince William, VA.......           9.4         128.4       1.8       114      931      -0.5       76
Alexandria City, VA......           6.6          94.9      -1.2       324    1,497      -0.8      104
Chesapeake City, VA......           6.1         100.2       1.0       194      808      -2.1      213
Newport News City, VA....           3.9          97.3      -1.7       335    1,017       0.6       29
Norfolk City, VA.........           5.9         141.8      -0.8       318    1,072      -3.1      275
Richmond City, VA........           7.8         155.1       2.4        76    1,139      -1.1      127
Virginia Beach City, VA..          12.3         176.2       0.3       257      836      -1.9      191
Benton, WA...............           5.7          84.3       3.8        10    1,013      -4.4      319
Clark, WA................          14.5         151.5       3.2        28      985       1.4       13
King, WA.................          86.4       1,340.4       3.3        24    1,479       3.5        7

Kitsap, WA...............           6.6          87.1       0.9       205      969      -1.4      149
Pierce, WA...............          21.9         301.3       3.6        14      932      -1.2      138
Snohomish, WA............          20.8         285.1       1.1       184    1,114      -1.9      191
Spokane, WA..............          15.7         217.6       2.7        58      882      -0.3       67
Thurston, WA.............           8.2         111.8       4.0         8      934       1.4       13
Whatcom, WA..............           7.3          88.4       2.5        71      852       0.1       40
Yakima, WA...............           7.8         102.3       2.7        58      736      -0.1       55
Kanawha, WV..............           5.8         101.7      -2.2       340      881      -1.6      168
Brown, WI................           6.8         155.7       1.0       194      956      -2.1      213
Dane, WI.................          15.2         334.0       1.8       114    1,033      -4.4      319

Milwaukee, WI............          26.1         487.8      -0.1       287    1,041      -0.6       84
Outagamie, WI............           5.2         107.3       0.4       250      920      -0.6       84
Waukesha, WI.............          12.9         239.6       0.1       268    1,073      -1.4      149
Winnebago, WI............           3.7          93.9       1.6       139    1,005      -2.7      259
San Juan, PR.............          10.7         255.8      -0.2       (5)      672      -0.7      (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 72.8 percent of
the total covered workers in the U.S.






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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                              fourth quarter
         County by NAICS supersector               2016                    Percent             Percent
                                               (thousands)      December   change,    Fourth   change,
                                                                  2016     December   quarter  fourth
                                                              (thousands)  2015-16(2)  2016    quarter
                                                                                              2015-16(2)


United States(3) ............................       9,869.9     143,749.9       1.2   $1,067      -1.5
  Private industry...........................       9,570.8     121,881.5       1.3    1,070      -1.7
    Natural resources and mining.............         138.1       1,741.7      -4.7    1,106      -5.1
    Construction.............................         784.5       6,677.4       2.0    1,234       0.1
    Manufacturing............................         345.7      12,298.6      -0.4    1,285      -3.1
    Trade, transportation, and utilities.....       1,924.2      27,968.1       1.1      880      -2.2
    Information..............................         159.2       2,809.0       0.0    1,884      -1.5
    Financial activities.....................         865.0       8,034.0       1.5    1,706      -0.4
    Professional and business services.......       1,779.7      20,259.2       1.0    1,419      -1.4
    Education and health services............       1,626.7      21,994.4       2.2      973      -2.0
    Leisure and hospitality..................         827.9      15,365.3       1.8      461      -0.2
    Other services...........................         840.2       4,387.5       1.1      719      -0.7
  Government.................................         299.1      21,868.4       0.8    1,049      -0.2

Los Angeles, CA..............................         472.0       4,415.7       1.1    1,256      -0.6
  Private industry...........................         465.8       3,838.1       1.1    1,246      -0.8
    Natural resources and mining.............           0.5           8.7       0.3    1,411      -7.0
    Construction.............................          13.9         133.2       1.5    1,276       0.7
    Manufacturing............................          12.3         350.9      -3.3    1,385       1.2
    Trade, transportation, and utilities.....          53.3         844.4       0.9      961      -0.1
    Information..............................           9.6         225.9      -0.3    2,306      -8.5
    Financial activities.....................          25.3         219.9       0.5    1,932       0.8
    Professional and business services.......          47.9         605.5      -0.1    1,631       0.9
    Education and health services............         218.5         758.7       1.9      929      -0.1
    Leisure and hospitality..................          32.6         512.7       2.8      986       0.4
    Other services...........................          26.8         148.0       0.8      736      -0.1
  Government.................................           6.2         577.6       1.6    1,325       0.1

Cook, IL.....................................         152.6       2,590.2       0.6    1,250      -1.6
  Private industry...........................         151.3       2,289.0       0.6    1,255      -1.7
    Natural resources and mining.............           0.1           1.0      -7.9    1,324      -1.3
    Construction.............................          12.2          71.5       0.4    1,625      -0.1
    Manufacturing............................           6.3         185.5      -1.0    1,355      -3.6
    Trade, transportation, and utilities.....          29.7         491.9       0.6      980       0.4
    Information..............................           2.7          55.7       4.6    1,705      -5.3
    Financial activities.....................          15.1         193.2       0.4    2,284      -0.8
    Professional and business services.......          32.4         473.4      -0.3    1,669      -1.6
    Education and health services............          16.3         441.1       1.2    1,028      -2.0
    Leisure and hospitality..................          14.2         273.5       0.9      526      -2.6
    Other services...........................          17.3          96.3      -0.4      955      -1.1
  Government.................................           1.3         301.3       0.8    1,207      -1.1

New York, NY.................................         129.8       2,471.6       0.7    2,212      -1.1
  Private industry...........................         128.9       2,202.4       0.8    2,319      -1.4
    Natural resources and mining.............           0.0           0.2       9.1    2,094       4.8
    Construction.............................           2.2          40.2      -1.0    2,343       1.1
    Manufacturing............................           2.1          26.3      -5.0    1,649      -1.1
    Trade, transportation, and utilities.....          19.3         265.9      -1.7    1,474      -1.3
    Information..............................           4.8         162.9       0.4    2,808       0.5
    Financial activities.....................          19.2         371.5      -0.2    4,587      -0.4
    Professional and business services.......          27.4         564.9       1.4    2,599      -3.3
    Education and health services............           9.9         346.8       0.3    1,390       0.8
    Leisure and hospitality..................          13.7         303.8       1.4    1,014      -1.6
    Other services...........................          20.3         103.3       0.5    1,195      -1.0
  Government.................................           0.8         269.2       0.5    1,335       2.6

Harris, TX...................................         113.7       2,272.0      -1.3    1,319      -4.7
  Private industry...........................         113.2       1,993.6      -1.8    1,344      -5.1
    Natural resources and mining.............           1.8          72.9     -13.4    3,416      -3.3
    Construction.............................           7.2         155.9      -4.1    1,477      -2.6
    Manufacturing............................           4.8         166.3      -8.3    1,652      -2.3
    Trade, transportation, and utilities.....          25.0         477.2      -0.8    1,121      -5.5
    Information..............................           1.2          27.3       0.7    1,478      -2.4
    Financial activities.....................          11.9         124.5       1.4    1,768      -3.3
    Professional and business services.......          23.2         384.1      -3.7    1,693      -5.2
    Education and health services............          15.9         292.3       2.7    1,080      -1.3
    Leisure and hospitality..................           9.8         226.8       2.1      470      -0.6
    Other services...........................          11.7          64.8      -0.5      822      -1.8
  Government.................................           0.6         278.4       2.4    1,142      -0.5

Maricopa, AZ.................................          96.5       1,926.9       2.4      994      -2.3
  Private industry...........................          95.7       1,713.5       2.6      995      -2.1
    Natural resources and mining.............           0.4           8.3       0.4      935      -1.6
    Construction.............................           6.9         103.1       4.0    1,116      -0.7
    Manufacturing............................           3.1         115.7      -1.3    1,375      -5.0
    Trade, transportation, and utilities.....          18.5         386.8       2.5      893      -2.3
    Information..............................           1.5          34.4      -1.1    1,386       1.5
    Financial activities.....................          10.8         173.2       5.7    1,316       0.5
    Professional and business services.......          20.9         331.7       1.0    1,108      -1.3
    Education and health services............          10.7         289.8       3.0      993      -4.2
    Leisure and hospitality..................           7.6         207.9       2.0      477      -2.3
    Other services...........................           6.0          49.6      -0.5      722       0.7
  Government.................................           0.7         213.4       0.7      985      -4.1

Dallas, TX...................................          75.6       1,688.4       2.8    1,279      -0.9
  Private industry...........................          75.0       1,514.5       3.1    1,290      -1.3
    Natural resources and mining.............           0.6           8.6      -6.4    4,042      13.5
    Construction.............................           4.5          86.3       5.1    1,368       2.5
    Manufacturing............................           2.7         110.0       1.1    1,420      -6.2
    Trade, transportation, and utilities.....          16.0         355.8       3.2    1,079      -3.1
    Information..............................           1.4          48.9       0.9    1,821      -0.1
    Financial activities.....................           9.3         161.1       4.4    1,759      -0.7
    Professional and business services.......          17.0         342.1       2.7    1,574       0.2
    Education and health services............           9.4         197.5       2.5    1,153      -1.1
    Leisure and hospitality..................           6.7         160.3       4.3      542      -1.8
    Other services...........................           7.0          42.7       2.1      808      -1.3
  Government.................................           0.6         174.0       0.3    1,184       2.7

Orange, CA...................................         116.3       1,588.8       2.0    1,200      -0.6
  Private industry...........................         114.9       1,442.2       2.2    1,201      -0.8
    Natural resources and mining.............           0.2           2.7       3.8      965       4.2
    Construction.............................           6.7          96.5       1.7    1,390       0.9
    Manufacturing............................           4.9         157.1      -0.1    1,493      -0.9
    Trade, transportation, and utilities.....          16.8         265.6      -0.6    1,044      -0.5
    Information..............................           1.3          25.8       2.8    2,069       1.6
    Financial activities.....................          10.9         118.1       0.9    2,038       1.8
    Professional and business services.......          20.6         304.7       4.0    1,407      -3.8
    Education and health services............          30.5         204.6       3.1      996      -3.7
    Leisure and hospitality..................           8.5         210.9       2.1      529       7.5
    Other services...........................           6.8          46.5       2.7      734       0.1
  Government.................................           1.5         146.6       1.0    1,189       1.4

San Diego, CA................................         107.8       1,427.5       1.6    1,170      -1.5
  Private industry...........................         105.9       1,194.0       1.5    1,145      -2.2
    Natural resources and mining.............           0.6           7.9      -8.3      744       1.6
    Construction.............................           6.7          77.1       5.4    1,272       0.7
    Manufacturing............................           3.2         106.5      -0.9    1,586     -10.4
    Trade, transportation, and utilities.....          14.1         229.0       0.3      846      -2.5
    Information..............................           1.1          23.5      -1.5    1,759       0.6
    Financial activities.....................           9.7          72.8       1.7    1,548       0.2
    Professional and business services.......          18.0         232.9      -0.7    1,764       0.3
    Education and health services............          30.0         195.1       2.0    1,007      -2.8
    Leisure and hospitality..................           8.1         190.2       3.6      513       3.2
    Other services...........................           7.3          50.5       1.0      647       1.6
  Government.................................           1.9         233.5       1.8    1,295       1.3

King, WA.....................................          86.4       1,340.4       3.3    1,479       3.5
  Private industry...........................          85.9       1,171.5       3.4    1,501       3.9
    Natural resources and mining.............           0.4           2.9      -3.0    1,208      -9.3
    Construction.............................           6.5          68.2       6.2    1,386       0.3
    Manufacturing............................           2.5         102.0      -3.9    1,662       0.0
    Trade, transportation, and utilities.....          14.5         261.7       4.7    1,484      20.2
    Information..............................           2.2          99.8       9.2    2,865      -1.7
    Financial activities.....................           6.6          67.9       3.0    1,773       2.0
    Professional and business services.......          17.5         220.5       1.7    1,828       0.2
    Education and health services............          19.5         169.7       4.1    1,055      -0.3
    Leisure and hospitality..................           7.2         134.5       3.8      572       0.5
    Other services...........................           9.1          44.4       3.6      858       1.7
  Government.................................           0.5         168.9       2.4    1,326       0.8

Miami-Dade, FL...............................          97.5       1,132.9       1.3    1,029      -2.5
  Private industry...........................          97.2         993.1       1.2    1,016      -1.7
    Natural resources and mining.............           0.5           9.0      -6.7      684       4.7
    Construction.............................           6.4          44.6       7.0      986      -1.9
    Manufacturing............................           2.9          40.5       1.2      968      -2.0
    Trade, transportation, and utilities.....          26.4         289.3      -0.1      911      -2.4
    Information..............................           1.5          18.1       2.1    1,682       0.2
    Financial activities.....................          10.6          75.3       0.5    1,636      -1.2
    Professional and business services.......          21.5         158.1       1.8    1,314      -1.2
    Education and health services............          10.4         176.0       2.4    1,036      -2.1
    Leisure and hospitality..................           7.2         141.0       0.5      606      -2.1
    Other services...........................           8.3          40.1       1.3      634      -2.3
  Government.................................           0.3         139.8       1.8    1,119      -7.3

(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,
fourth quarter 2016


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                            fourth quarter
            State                2016                     Percent           Percent
                             (thousands)      December    change,   Fourth  change,
                                                2016      December  quarter fourth
                                             (thousands)  2015-16    2016   quarter
                                                                            2015-16


United States(2)...........       9,869.9     143,749.9       1.2   $1,067     -1.5

Alabama....................         123.6       1,932.6       0.7      901     -1.3
Alaska.....................          22.3         310.0      -1.9    1,038     -5.2
Arizona....................         156.9       2,760.1       2.1      945     -2.2
Arkansas...................          89.4       1,205.4       0.4      827     -1.4
California.................       1,509.9      16,923.3       1.9    1,271     -0.3
Colorado...................         192.6       2,588.6       2.0    1,086     -1.5
Connecticut................         117.7       1,685.5       0.0    1,289     -3.4
Delaware...................          31.5         441.2      -0.1    1,055     -2.9
District of Columbia.......          39.5         760.9       0.5    1,763      0.6
Florida....................         673.4       8,538.9       2.7      942     -1.8

Georgia....................         305.5       4,349.3       2.4      993     -0.9
Hawaii.....................          40.7         658.3       0.7      954     -0.3
Idaho......................          59.7         691.6       3.2      800     -0.4
Illinois...................         404.3       5,947.6       0.4    1,122     -2.0
Indiana....................         162.7       3,021.7       0.9      883     -0.9
Iowa.......................         101.7       1,542.0       0.1      911     -1.0
Kansas.....................          90.8       1,384.5       0.1      877     -2.2
Kentucky...................         123.8       1,894.2       0.6      874     -1.4
Louisiana..................         129.7       1,907.4      -1.6      914     -2.9
Maine......................          54.1         602.6       0.8      855     -2.1

Maryland...................         170.5       2,666.7       1.0    1,169     -0.4
Massachusetts..............         249.2       3,530.4       1.3    1,352     -2.4
Michigan...................         242.0       4,283.0       1.5    1,026     -1.6
Minnesota..................         164.2       2,839.7       1.2    1,062     -1.1
Mississippi................          74.4       1,134.0       0.0      756     -1.8
Missouri...................         196.4       2,783.2       0.9      918     -1.7
Montana....................          46.6         456.5       0.7      822      0.5
Nebraska...................          74.2         972.4       0.0      876     -0.5
Nevada.....................          82.7       1,307.8       2.7      924     -1.2
New Hampshire..............          52.3         656.9       1.3    1,092     -4.1

New Jersey.................         271.6       4,042.1       1.4    1,239     -1.9
New Mexico.................          58.3         811.4       0.0      844     -2.5
New York...................         647.2       9,332.5       1.2    1,342     -2.3
North Carolina.............         269.9       4,326.3       1.8      932     -0.7
North Dakota...............          32.2         414.4      -3.2      978     -4.2
Ohio.......................         294.0       5,365.6       0.7      943     -2.3
Oklahoma...................         109.7       1,587.7      -1.2      864     -3.5
Oregon.....................         149.2       1,860.7       2.4      970     -1.0
Pennsylvania...............         356.9       5,799.8       0.7    1,039     -2.3
Rhode Island...............          37.1         478.3       0.0    1,027     -1.6

South Carolina.............         126.7       2,024.3       1.8      855     -0.6
South Dakota...............          33.2         419.9       0.5      828     -0.5
Tennessee..................         155.5       2,947.5       1.8      970     -1.1
Texas......................         662.5      11,974.7       1.2    1,072     -2.5
Utah.......................          98.4       1,415.1       2.9      910     -0.3
Vermont....................          25.3         312.6       0.1      897     -2.4
Virginia...................         270.2       3,831.6       0.6    1,091     -0.3
Washington.................         240.2       3,227.9       2.8    1,150      1.7
West Virginia..............          50.7         693.1      -1.6      809     -2.5
Wisconsin..................         172.7       2,842.4       0.5      924     -2.0

Wyoming....................          26.1         265.8      -3.9      894     -4.7

Puerto Rico................          45.7         928.2      -0.3      555     -1.9
Virgin Islands.............           3.4          38.5       0.2      769     -1.8

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

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






Last Modified Date: June 07, 2017