County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, May 23, 2018	USDL-18-0868

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 2017

From December 2016 to December 2017, employment increased in 316 of the 346 largest U.S. 
counties, the U.S. Bureau of Labor Statistics reported today. Midland, Texas, had the largest percentage 
increase with a gain of 11.5 percent over the year, above the national job growth rate of 1.5 percent. 
Within Midland, the largest employment increase occurred in natural resources and mining, which 
gained 5,247 jobs over the year (27.1 percent). Shawnee, Kan., and Caddo, La., had the largest over-the-
year percentage decreases in employment among the largest counties in the U.S., with losses of 1.8 
percent each. Within Shawnee, professional and business services had the largest decrease in 
employment, with a loss of 1,173 jobs (-8.0 percent). Within Caddo, trade, transportation, and utilities 
had the largest decrease in employment, with a loss of 769 jobs (-3.3 percent).

The U.S. average weekly wage increased 3.9 percent over the year, growing to $1,109 in the fourth 
quarter of 2017. San Mateo, Calif., and Ada, Idaho, had the largest over-the-year percentage increases in 
average weekly wages, with gains of 11.5 percent each. Within San Mateo, an average weekly wage 
gain of $1,191 (23.1 percent) in information made the largest contribution to the county’s increase in 
average weekly wages. Within Ada, an average weekly wage gain of $1,031 (51.6 percent) in 
manufacturing made the largest contribution to the county’s increase in average weekly wages. Clayton, 
Ga., had the largest over-the-year percentage decrease in average weekly wages with a loss of 6.7 
percent. Within Clayton, trade, transportation, and utilities had the largest impact on the county’s 
average weekly wage change with a decrease of $182 (-12.9 percent) over the year.

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|                                                                                                          |
|                    QCEW Publication Acceleration and Conversion to Two Data Releases                     |
|                                                                                                          |
|  The QCEW publication process is accelerating for a more timely release. Beginning with this release,    |
|  QCEW data will be published in two parts. The current County Employment and Wages news release          |
|  will be accelerated and published first. The full QCEW data release will occur on Thursday, June 7,     |
|  2018, accompanied by a data release notice.                                                             |
|                                                                                                          |
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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 5 months following the end of each quarter.
 
Large County Employment

In December 2017, national employment was 145.9 million (as measured by the QCEW program). Over 
the year, employment increased 1.5 percent, or 2.1 million. In December 2017, the 346 U.S. counties 
with 75,000 or more jobs accounted for 73.0 percent of total U.S. employment and 78.3 percent of total 
wages. These 346 counties had a net job growth of 1.6 million over the year, accounting for 74.4 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 231,600 jobs, which was 10.9 percent of the overall 
job increase for the U.S. (See table A.) 

Employment declined in 25 of the largest counties from December 2016 to December 2017. Shawnee, 
Kan., and Caddo, La., had the largest over-the-year percentage decreases in employment (-1.8 percent 
each), followed by Kanawha, W. Va.; Potter, Texas; and Jefferson, La. (See table 1.) 

Table A.  Large counties ranked by December 2017 employment, December 2016-17 employment increase, and
December 2016-17 percent increase in employment

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                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
      December 2017 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |          December 2016-17        |          December 2016-17
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           145,921.1| United States             2,123.0| United States                 1.5
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,494.5| Los Angeles, Calif.          71.2| Midland, Texas               11.5
 Cook, Ill.                2,604.2| Maricopa, Ariz.              58.5| Utah, Utah                    6.0
 New York, N.Y.            2,516.0| King, Wash.                  38.5| Montgomery, Texas             5.9
 Harris, Texas             2,293.3| New York, N.Y.               34.2| Calcasieu, La.                5.8
 Maricopa, Ariz.           1,989.4| Kings, N.Y.                  29.2| Elkhart, Ind.                 5.4
 Dallas, Texas             1,712.8| Clark, Nev.                  28.7| Weld, Colo.                   5.2
 Orange, Calif.            1,621.4| Orange, Fla.                 28.1| Rutherford, Tenn.             5.2
 San Diego, Calif.         1,462.0| Dallas, Texas                28.1| Adams, Colo.                  5.1
 King, Wash.               1,377.5| Orange, Calif.               27.3| Clark, Wash.                  4.8
 Miami-Dade, Fla.          1,148.3| Santa Clara, Calif.          26.2| Yakima, Wash.                 4.8
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,109, a 3.9 percent increase, during the year ending 
in the fourth quarter of 2017. Among the 346 largest counties, 339 had over-the-year increases in 
average weekly wages. San Mateo, Calif., and Ada, Idaho, had the largest percentage wage increases 
among the largest U.S. counties (11.5 percent each). (See table B.) 

Of the 346 largest counties, 7 experienced an over-the-year decrease in average weekly wages. Clayton, 
Ga., had the largest percentage decrease in average weekly wages (-6.7 percent), followed by 
Champaign, Ill.; Benton, Ark.; Wyandotte, Kan.; and Rockland, N.Y. (See table 1.)

Table B.  Large counties ranked by fourth quarter 2017 average weekly wages, fourth quarter 2016-17
increase in average weekly wages, and fourth quarter 2016-17 percent increase in average weekly wages 

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                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
        fourth quarter 2017       |    wage, fourth quarter 2016-17  |        weekly wage, fourth
                                  |                                  |          quarter 2016-17
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,109| United States                 $42| United States                 3.9
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                                  |                                  |                                  
 Santa Clara, Calif.        $2,576| San Mateo, Calif.            $241| San Mateo, Calif.            11.5
 New York, N.Y.              2,439| New York, N.Y.                229| Ada, Idaho                   11.5
 San Mateo, Calif.           2,341| Santa Clara, Calif.           211| New York, N.Y.               10.4
 San Francisco, Calif.       2,232| San Francisco, Calif.         154| Douglas, Colo.                9.0
 Suffolk, Mass.              1,986| Douglas, Colo.                108| Santa Clara, Calif.           8.9
 Washington, D.C.            1,812| Ada, Idaho                    108| Washington, Ore.              8.1
 Arlington, Va.              1,727| King, Wash.                   103| San Francisco, Calif.         7.4
 Fairfield, Conn.            1,688| Suffolk, Mass.                101| Elkhart, Ind.                 7.1
 Fairfax, Va.                1,646| Washington, Ore.               98| King, Wash.                   7.0
 Middlesex, Mass.            1,613| Los Angeles, Calif.            81| Weld, Colo.                   6.9
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Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in December 2017. 
Maricopa, Ariz., had the largest gain (3.0 percent). Within Maricopa, construction had the largest over-
the-year employment level increase, with a gain of 10,168 jobs, or 9.7 percent. Cook, Ill., had the 
smallest percentage increase in employment among the 10 largest counties (0.6 percent). Within Cook, 
education and health services had the largest over-the-year employment level increase, with a gain of 
6,515 jobs, or 1.5 percent. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. New York, N.Y. 
experienced the largest percentage gain in average weekly wages (10.4 percent). Within New York, 
financial activities had the largest impact on the county’s average weekly wage gain. Within financial 
activities, average weekly wages increased by $1,032, or 22.4 percent, over the year. Harris, Texas, had 
the smallest percentage gain in average weekly wages among the 10 largest counties (2.4 percent). 
Within Harris, trade, transportation, and utilities had the largest impact on the county’s average weekly 
wage growth with an increase of $49 (4.3 percent) over the year. 

For More Information

The tables included in this release contain data for the nation and for the 346 U.S. counties with annual 
average employment levels of 75,000 or more in 2016. December 2017 employment and fourth quarter 
2017 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 10.0 million employer reports cover 145.9 million full- and part-time workers. The full 
set of data for the fourth quarter of 2017 will be available on June 7, 2018, 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 full data update for fourth quarter 2017 is scheduled to be 
released on Thursday, June 7, 2018. The County Employment and Wages release for first quarter 
2018 is scheduled to be released on Wednesday, August 22, 2018.






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 2017 North American Industry 
Classification System (NAICS). Data for 2017 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 347 counties 
presented in this release were derived using 2016 preliminary annual averages of employment. For 
2017 data, three counties have been added to the publication tables: Sussex, Del.; Maui + Kalawao, 
Hawaii; and Deschutes, Ore. These counties will be included in all 2017 quarterly releases. One 
county, Gregg, Texas, which was published in the 2016 releases, will be excluded from this and 
future 2017 releases because its 2016 annual average employment level was 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: QCEW, Business Employment Dynamics (BED), and Current Employment Statistics 
(CES). Each of these measures 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- |  651,000 establish-
            |  submitted by 9.9   |  ministrative records|  ments
            |  million establish- |  submitted by 7.9    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2017    |  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 5 months   |  -7 months after the |  -Usually the 3rd Friday
            |   after the end of  |   end of each quarter|   after the end of the 
            |   each quarter      |                      |   week including 
            |                     |                      |   the 12th of the month
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation counts (bench- 
            |                     |  losses              |  marking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal federal
            |   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 9.7 
million employer reports of employment and wages submitted by states to the BLS in 2016. 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 2016, UI and UCFE programs 
covered workers in 141.9 million jobs. The estimated 136.6 million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.4 percent of civilian wage and salary 
employment. Covered workers received $7.607 trillion in pay, representing 94.1 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 
that reflect economic events or 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 2016 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 
eliminate the effect of 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 2016 edition 
of this publication, which was published in September 2017, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2017 version of this news release. Tables and additional content from the 2016 edition 
of Employment and Wages Annual Averages Online are now available at 
www.bls.gov/cew/cewbultn16.htm. The 2017 edition of Employment and Wages Annual Averages 
Online will be available in September 2018.

News releases on quarterly measures of gross job flows also are available from BED at 
www.bls.gov/bdm, (202) 691-6467, or data.bls.gov/cgi-bin/forms/bdm.

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 347 largest counties,
fourth quarter 2017

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)         fourth quarter                Percent    Ranking            Percent   Ranking
                               2017         December    change,      by      Fourth   change,     by
                           (thousands)        2017      December   percent   quarter  fourth    percent
                                          (thousands)  2016-17(3)  change     2017    quarter   change
                                                                                     2016-17(3)

United States(4).........       9,969.4     145,921.1       1.5        -    $1,109       3.9       -

Jefferson, AL............          18.8         350.5       1.8       102    1,083       3.8       98
Madison, AL..............           9.7         198.9       1.9        96    1,137       3.5      122
Mobile, AL...............          10.2         171.9       1.0       196      975       4.1       78
Montgomery, AL...........           6.5         132.3      -0.1       322      939      -0.4      340
Shelby, AL...............           5.9          85.3       0.7       240    1,031       2.6      213
Tuscaloosa, AL...........           4.6          93.9       2.2        81      913       4.6       47
Anchorage, AK............           8.3         147.3      -1.1       341    1,104       1.9      281
Maricopa, AZ.............          97.9       1,989.4       3.0        32    1,024       2.9      180
Pima, AZ.................          18.7         372.3       1.0       196      892       3.8       98
Benton, AR...............           6.5         119.7       1.3       158    1,008      -1.4      344

Pulaski, AR..............          14.4         253.2       0.9       215      971       2.1      264
Washington, AR...........           6.0         107.4       2.6        56    1,002       5.5       18
Alameda, CA..............          64.0         785.6       3.0        32    1,457       5.4       22
Butte, CA................           8.6          83.1       1.3       158      826       4.8       38
Contra Costa, CA.........          32.6         369.9       0.7       240    1,344       4.0       85
Fresno, CA...............          35.7         380.2       1.8       102      888       3.6      117
Kern, CA.................          19.2         313.6       1.1       181      888       2.5      227
Los Angeles, CA..........         494.2       4,494.5       1.6       121    1,343       6.4       11
Marin, CA................          12.6         116.8       1.5       135    1,400       1.8      288
Merced, CA...............           6.7          79.4       3.8        16      816       1.0      317

Monterey, CA.............          13.8         175.0       0.7       240      951       4.5       52
Napa, CA.................           5.9          74.4       1.4       144    1,119       5.6       17
Orange, CA...............         121.9       1,621.4       1.7       111    1,234       2.8      188
Placer, CA...............          13.1         164.6       4.3        12    1,107       3.1      163
Riverside, CA............          64.7         732.3       2.8        48      873       4.7       44
Sacramento, CA...........          58.6         656.4       2.4        69    1,180       4.5       52
San Bernardino, CA.......          59.4         754.0       3.3        23      906       2.0      270
San Diego, CA............         111.9       1,462.0       1.8       102    1,221       4.3       67
San Francisco, CA........          61.0         730.9       2.9        38    2,232       7.4        7
San Joaquin, CA..........          17.9         251.9       2.4        69      923       3.8       98

San Luis Obispo, CA......          10.5         115.9       1.6       121      929       4.6       47
San Mateo, CA............          28.5         407.5       1.8       102    2,341      11.5        1
Santa Barbara, CA........          15.6         195.4       1.6       121    1,066       3.9       92
Santa Clara, CA..........          73.3       1,093.4       2.5        62    2,576       8.9        5
Santa Cruz, CA...........           9.6         100.4       1.1       181      970       4.1       78
Solano, CA...............          11.6         140.8       1.3       158    1,115       4.1       78
Sonoma, CA...............          20.2         208.3       2.0        90    1,070       4.8       38
Stanislaus, CA...........          15.8         187.1       3.0        32      915       3.5      122
Tulare, CA...............          10.5         159.3       0.7       240      812       4.9       35
Ventura, CA..............          27.4         326.3       0.8       229    1,076       3.0      171

Yolo, CA.................           6.8         101.6       2.6        56    1,151       3.9       92
Adams, CO................          11.0         211.7       5.1         8    1,075       5.4       22
Arapahoe, CO.............          22.0         331.2       1.8       102    1,268       3.4      134
Boulder, CO..............          15.3         183.1       2.4        69    1,277       3.5      122
Denver, CO...............          32.2         514.2       2.6        56    1,334       3.7      107
Douglas, CO..............          12.0         123.6       2.9        38    1,314       9.0        4
El Paso, CO..............          19.8         274.4       2.5        62      967       2.8      188
Jefferson, CO............          20.2         236.4       2.2        81    1,112       2.4      241
Larimer, CO..............          12.2         159.0       3.0        32    1,011       3.4      134
Weld, CO.................           7.4         106.8       5.2         6      962       6.9       10

Fairfield, CT............          35.6         424.4      -0.4       328    1,688       0.7      325
Hartford, CT.............          28.1         514.6       0.4       281    1,296       2.6      213
New Haven, CT............          24.3         369.7       0.5       275    1,121       2.5      227
New London, CT...........           7.6         124.5       0.7       240    1,051       2.7      200
New Castle, DE...........          19.7         293.3       0.5       275    1,195       2.5      227
Sussex, DE...............           6.8          77.0       2.7        52      817       3.2      151
Washington, DC...........          41.2         769.0       0.9       215    1,812       2.7      200
Alachua, FL..............           7.2         131.0       1.0       196      912       5.2       28
Bay, FL..................           5.6          77.1       1.4       144      795       1.8      288
Brevard, FL..............          15.9         211.6       2.5        62      972       3.5      122

Broward, FL..............          69.7         814.0       1.2       167    1,041       3.7      107
Collier, FL..............          14.1         150.4       1.3       158      966       4.4       61
Duval, FL................          29.5         516.7       3.2        24    1,030       2.9      180
Escambia, FL.............           8.1         135.8       2.8        48      868       4.8       38
Hillsborough, FL.........          42.5         692.4       0.7       240    1,049       4.0       85
Lake, FL.................           8.2          98.9       2.3        77      740       2.5      227
Lee, FL..................          22.1         265.5       2.9        38      864       1.9      281
Leon, FL.................           8.7         151.1       1.0       196      894       3.8       98
Manatee, FL..............          11.0         125.7       1.7       111      819       0.9      322
Marion, FL...............           8.4         103.2       1.2       167      756       0.7      325

Miami-Dade, FL...........          98.9       1,148.3       0.8       229    1,065       3.8       98
Okaloosa, FL.............           6.4          83.0       1.4       144      875       1.3      308
Orange, FL...............          42.4         845.4       3.4        22      969       2.5      227
Osceola, FL..............           7.0          94.4       4.4        11      740       2.5      227
Palm Beach, FL...........          56.7         611.5       1.0       196    1,103       4.5       52
Pasco, FL................          10.9         119.4       2.1        87      760       3.0      171
Pinellas, FL.............          33.1         432.8       1.6       121      988       2.9      180
Polk, FL.................          13.3         220.7       2.9        38      821       2.6      213
Sarasota, FL.............          16.0         171.2       1.0       196      941       4.8       38
Seminole, FL.............          15.0         194.6       3.5        21      932       3.1      163

Volusia, FL..............          14.4         173.1       1.9        96      784       3.2      151
Bibb, GA.................           4.2          83.6      -1.0       340      840       2.8      188
Chatham, GA..............           8.0         154.2       2.2        81      906       2.3      249
Clayton, GA..............           4.0         126.7       1.0       196      988      -6.7      346
Cobb, GA.................          21.7         363.7       1.9        96    1,125       3.5      122
DeKalb, GA...............          17.8         301.5       0.6       255    1,086       2.5      227
Fulton, GA...............          43.1         870.2       2.4        69    1,449       5.0       33
Gwinnett, GA.............          24.6         359.9       2.7        52    1,048       2.3      249
Hall, GA.................           4.4          86.8       1.8       102      979       5.8       16
Muscogee, GA.............           4.5          94.5       0.9       215      875       4.0       85

Richmond, GA.............           4.4         105.9       0.6       255      887       2.3      249
Honolulu, HI.............          26.2         480.3       0.5       275    1,030       3.4      134
Maui + Kalawao, HI.......           6.2          78.3       0.8       229      863       1.4      304
Ada, ID..................          16.2         238.3       3.6        20    1,044      11.5        1
Champaign, IL............           4.0          90.9       1.0       196      933      -1.6      345
Cook, IL.................         136.9       2,604.2       0.6       255    1,283       2.6      213
DuPage, IL...............          34.3         622.3       0.4       281    1,239       2.4      241
Kane, IL.................          12.4         211.2       0.1       309    1,005       4.4       61
Lake, IL.................          20.0         338.1       1.2       167    1,411       1.0      317
McHenry, IL..............           7.7          98.6       1.4       144      917       3.9       92

McLean, IL...............           3.4          83.3      -0.9       336      944       2.3      249
Madison, IL..............           5.4         101.7       1.8       102      857       2.0      270
Peoria, IL...............           4.2         104.2       0.9       215    1,088       1.6      300
St. Clair, IL............           5.0          94.8      -0.4       328      856       2.4      241
Sangamon, IL.............           4.7         129.4      -0.3       326    1,065       3.3      141
Will, IL.................          14.5         245.6       1.7       111      954       2.1      264
Winnebago, IL............           6.0         128.1       0.1       309      904       2.8      188
Allen, IN................           8.8         187.6       1.1       181      885       4.6       47
Elkhart, IN..............           4.7         137.8       5.4         5      983       7.1        8
Hamilton, IN.............           9.4         140.9       1.5       135    1,036       1.2      312

Lake, IN.................          10.4         189.2       0.3       295      929       2.0      270
Marion, IN...............          24.0         601.9       0.8       229    1,086       3.2      151
St. Joseph, IN...........           5.8         123.9      -0.3       326      879       1.4      304
Tippecanoe, IN...........           3.4          84.7       0.8       229      920       3.3      141
Vanderburgh, IN..........           4.7         110.2       1.7       111      903       3.7      107
Johnson, IA..............           4.2          85.3       1.1       181      971       2.2      260
Linn, IA.................           6.9         131.3       0.6       255    1,119       5.9       15
Polk, IA.................          17.6         300.9       1.2       167    1,117       2.7      200
Scott, IA................           5.6          91.4      -0.2       325      899       1.7      297
Johnson, KS..............          23.5         349.9       1.8       102    1,089       2.3      249

Sedgwick, KS.............          12.6         250.2       0.0       317      917       1.4      304
Shawnee, KS..............           5.1          96.7      -1.8       345      860       2.0      270
Wyandotte, KS............           3.5          93.7       3.2        24    1,027      -1.1      343
Boone, KY................           4.4          91.3       2.4        69      914       1.8      288
Fayette, KY..............          10.9         199.8       1.3       158      970       0.1      338
Jefferson, KY............          25.0         472.3       0.4       281    1,048       2.3      249
Caddo, LA................           7.3         112.8      -1.8       345      872       1.9      281
Calcasieu, LA............           5.4         100.3       5.8         4      971       5.1       30
East Baton Rouge, LA.....          15.8         266.2      -0.1       322    1,010       0.5      331
Jefferson, LA............          14.1         191.9      -1.2       342      976       2.3      249

Lafayette, LA............           9.7         129.7      -0.4       328      944       3.5      122
Orleans, LA..............          12.9         196.1       1.0       196    1,036       3.8       98
St. Tammany, LA..........           8.4          89.7       0.1       309      916       1.0      317
Cumberland, ME...........          14.0         185.7       2.8        48    1,007       2.7      200
Anne Arundel, MD.........          15.3         273.8       0.6       255    1,177       1.3      308
Baltimore, MD............          21.3         381.7      -0.6       332    1,118       3.1      163
Frederick, MD............           6.5         102.7       2.0        90      989       2.0      270
Harford, MD..............           5.8          95.9       2.0        90    1,009       2.6      213
Howard, MD...............          10.0         171.4       0.4       281    1,331       2.5      227
Montgomery, MD...........          33.0         474.5       0.0       317    1,482       4.2       71

Prince George's, MD......          16.0         323.8       0.4       281    1,123       3.0      171
Baltimore City, MD.......          13.7         344.9       1.4       144    1,365       4.5       52
Barnstable, MA...........           9.5          91.8       0.8       229      962       2.3      249
Bristol, MA..............          17.7         229.6       0.6       255      979       4.0       85
Essex, MA................          25.9         329.2       1.1       181    1,161       3.3      141
Hampden, MA..............          18.3         211.7       1.6       121      973       2.1      264
Middlesex, MA............          55.3         915.0       1.6       121    1,613       5.1       30
Norfolk, MA..............          25.4         356.9       0.6       255    1,358       4.1       78
Plymouth, MA.............          16.0         195.6       2.0        90    1,033       1.8      288
Suffolk, MA..............          30.0         679.7       1.0       196    1,986       5.4       22

Worcester, MA............          25.5         353.8       1.4       144    1,078       2.9      180
Genesee, MI..............           6.8         136.0       0.4       281      899       0.9      322
Ingham, MI...............           6.0         153.1       0.6       255    1,041       1.1      314
Kalamazoo, MI............           5.0         119.8       1.2       167    1,002       2.0      270
Kent, MI.................          14.5         402.5       1.2       167      956       1.9      281
Macomb, MI...............          17.6         328.8       0.6       255    1,091       2.6      213
Oakland, MI..............          39.5         735.1       1.0       196    1,253       3.6      117
Ottawa, MI...............           5.7         124.3       1.3       158      976       2.7      200
Saginaw, MI..............           3.9          84.6      -0.9       336      897       3.7      107
Washtenaw, MI............           8.3         215.6       1.7       111    1,134       3.2      151

Wayne, MI................          30.9         725.3       0.2       302    1,212       2.4      241
Anoka, MN................           7.3         123.5       1.5       135    1,034       4.1       78
Dakota, MN...............          10.1         188.9       0.7       240    1,044       2.9      180
Hennepin, MN.............          40.4         926.8       1.1       181    1,335       3.0      171
Olmsted, MN..............           3.5          97.8       1.6       121    1,118       4.0       85
Ramsey, MN...............          13.6         334.5       1.3       158    1,202       3.8       98
St. Louis, MN............           5.3          98.0       0.7       240      895       3.2      151
Stearns, MN..............           4.4          87.1       0.6       255      907       4.3       67
Washington, MN...........           5.6          86.3       4.2        13      943       5.5       18
Harrison, MS.............           4.6          85.4       0.1       309      749       2.5      227

Hinds, MS................           5.8         122.0      -0.9       336      884       2.1      264
Boone, MO................           5.1          94.5       1.1       181      846       0.5      331
Clay, MO.................           5.8         106.5       2.6        56      948       1.4      304
Greene, MO...............           9.1         167.2       1.2       167      841       4.2       71
Jackson, MO..............          22.5         370.3       0.7       240    1,103       3.4      134
St. Charles, MO..........           9.7         147.9       1.4       144      847       1.0      317
St. Louis, MO............          39.9         613.9       0.9       215    1,168       3.6      117
St. Louis City, MO.......          14.8         226.4       0.9       215    1,145       1.7      297
Yellowstone, MT..........           6.9          81.4       0.3       295      924       0.5      331
Douglas, NE..............          19.5         342.7       0.7       240    1,011       3.0      171

Lancaster, NE............          10.6         170.3       1.5       135      882       2.9      180
Clark, NV................          54.9         981.8       3.0        32      938       3.1      163
Washoe, NV...............          14.8         221.8       3.7        17      969       2.5      227
Hillsborough, NH.........          12.2         206.0       0.4       281    1,240       3.2      151
Merrimack, NH............           5.2          78.1       0.8       229    1,050       3.3      141
Rockingham, NH...........          11.0         150.0       1.0       196    1,116       4.9       35
Atlantic, NJ.............           6.6         123.2       0.7       240      914       2.6      213
Bergen, NJ...............          33.3         458.4       0.9       215    1,298       1.2      312
Burlington, NJ...........          11.1         209.4       0.6       255    1,105       1.7      297
Camden, NJ...............          12.2         209.4       1.9        96    1,096       2.6      213

Essex, NJ................          20.7         349.5       1.5       135    1,318       1.8      288
Gloucester, NJ...........           6.4         112.6       2.7        52      926       1.1      314
Hudson, NJ...............          15.3         267.9       2.5        62    1,408       3.1      163
Mercer, NJ...............          11.3         253.7       1.3       158    1,355      -0.4      340
Middlesex, NJ............          22.5         440.4       1.9        96    1,259       1.9      281
Monmouth, NJ.............          20.2         262.9       0.6       255    1,097       2.8      188
Morris, NJ...............          17.2         295.6       1.4       144    1,582       3.9       92
Ocean, NJ................          13.4         166.9       2.4        69      883       1.3      308
Passaic, NJ..............          12.8         170.1       0.2       302    1,066       1.9      281
Somerset, NJ.............          10.3         190.4       0.3       295    1,568       0.3      336

Union, NJ................          14.5         224.7       0.7       240    1,385       2.4      241
Bernalillo, NM...........          18.4         328.5       0.2       302      912       1.8      288
Albany, NY...............          10.4         236.9      -0.7       335    1,135       4.2       71
Bronx, NY................          18.8         306.8       0.9       215    1,030       2.7      200
Broome, NY...............           4.5          87.7      -0.4       328      838       4.8       38
Dutchess, NY.............           8.4         114.9       1.0       196    1,032       2.1      264
Erie, NY.................          24.9         477.5       0.6       255      965       2.7      200
Kings, NY................          63.0         736.4       4.1        14      920       1.8      288
Monroe, NY...............          19.0         391.5       0.6       255    1,000       2.8      188
Nassau, NY...............          54.4         646.0       1.1       181    1,242       2.0      270

New York, NY.............         128.4       2,516.0       1.4       144    2,439      10.4        3
Oneida, NY...............           5.3         106.2       0.2       302      838       3.6      117
Onondaga, NY.............          12.9         248.6       0.4       281      995       2.5      227
Orange, NY...............          10.5         146.4       1.5       135      921       3.7      107
Queens, NY...............          53.3         676.3       2.0        90    1,041       2.3      249
Richmond, NY.............           9.8         118.8       1.2       167      984       4.0       85
Rockland, NY.............          10.9         126.3       1.2       167    1,030      -0.8      342
Saratoga, NY.............           6.0          87.8       3.7        17      978       3.5      122
Suffolk, NY..............          53.2         664.9       0.1       309    1,217       6.0       13
Westchester, NY..........          36.4         433.5       0.6       255    1,468       4.9       35

Buncombe, NC.............           9.2         132.2       1.2       167      851       1.8      288
Catawba, NC..............           4.4          88.7       1.8       102      841       2.6      213
Cumberland, NC...........           6.2         120.6       0.4       281      829       3.5      122
Durham, NC...............           8.4         201.9       1.0       196    1,286       2.6      213
Forsyth, NC..............           9.1         186.8       0.5       275    1,005       3.3      141
Guilford, NC.............          14.3         282.1      -0.6       332      946       5.3       26
Mecklenburg, NC..........          37.7         693.5       2.8        48    1,232       3.2      151
New Hanover, NC..........           8.1         111.6       1.6       121      875       1.0      317
Wake, NC.................          34.4         553.5       2.9        38    1,117       2.5      227
Cass, ND.................           7.2         118.1       0.2       302      990       3.0      171

Butler, OH...............           7.8         157.3       2.0        90      933       0.2      337
Cuyahoga, OH.............          36.0         724.9       0.2       302    1,126       3.5      122
Delaware, OH.............           5.4          88.4       1.1       181    1,021       2.0      270
Franklin, OH.............          32.3         766.4       1.2       167    1,051       2.2      260
Hamilton, OH.............          24.0         519.7       0.7       240    1,157       3.2      151
Lake, OH.................           6.3          95.3       0.4       281      893       3.4      134
Lorain, OH...............           6.2          98.4       0.6       255      830       1.1      314
Lucas, OH................          10.2         209.9      -0.1       322      921       2.0      270
Mahoning, OH.............           5.9          98.0       0.4       281      775       3.3      141
Montgomery, OH...........          11.9         257.7       1.1       181      920       2.8      188

Stark, OH................           8.6         161.1       1.1       181      834       5.3       26
Summit, OH...............          14.4         268.0       0.0       317      962       2.2      260
Warren, OH...............           4.9          91.7       2.5        62      954       0.7      325
Cleveland, OK............           5.9          82.0       1.7       111      769       0.5      331
Oklahoma, OK.............          28.4         455.9       1.4       144    1,016       3.8       98
Tulsa, OK................          22.7         357.7       0.8       229      968       2.7      200
Clackamas, OR............          15.1         164.5       2.5        62    1,023       3.8       98
Deschutes, OR............           8.6          80.9       3.7        17      874       4.3       67
Jackson, OR..............           7.5          89.3       2.4        69      833       4.0       85
Lane, OR.................          12.2         156.0       1.4       144      862       2.0      270

Marion, OR...............          10.9         152.1       1.6       121      901       4.6       47
Multnomah, OR............          35.2         510.5       1.9        96    1,146       4.2       71
Washington, OR...........          19.5         294.7       2.4        69    1,307       8.1        6
Allegheny, PA............          35.6         702.2       1.1       181    1,172       3.1      163
Berks, PA................           9.0         174.3       1.1       181      971       3.4      134
Bucks, PA................          20.1         266.1       1.3       158    1,033       1.5      301
Butler, PA...............           5.1          85.9       0.6       255    1,008       0.1      338
Chester, PA..............          15.6         253.7       1.7       111    1,339       2.5      227
Cumberland, PA...........           6.5         135.4       0.3       295      972       5.2       28
Dauphin, PA..............           7.6         183.3       0.9       215    1,069       3.6      117

Delaware, PA.............          14.2         227.2       1.0       196    1,146       3.3      141
Erie, PA.................           7.0         121.6       0.1       309      812       0.5      331
Lackawanna, PA...........           5.7          99.5       0.6       255      831       4.5       52
Lancaster, PA............          13.5         241.0       1.6       121      902       2.7      200
Lehigh, PA...............           8.9         192.1       1.4       144    1,084       3.1      163
Luzerne, PA..............           7.4         147.3       1.2       167      835       2.3      249
Montgomery, PA...........          27.8         500.4       1.0       196    1,320       2.3      249
Northampton, PA..........           6.8         116.4       0.8       229      921       2.8      188
Philadelphia, PA.........          34.8         684.6       1.4       144    1,290       4.4       61
Washington, PA...........           5.5          87.7       2.2        81    1,181       5.1       30

Westmoreland, PA.........           9.3         134.4       0.7       240      886       6.1       12
York, PA.................           9.2         180.9       0.8       229      955       5.4       22
Providence, RI...........          18.5         290.7       0.9       215    1,116       3.2      151
Charleston, SC...........          15.4         248.9       1.6       121      979       4.7       44
Greenville, SC...........          14.1         272.9       2.3        77      953       2.8      188
Horry, SC................           8.9         122.8       2.7        52      674       2.7      200
Lexington, SC............           6.7         122.9       3.0        32      805       1.8      288
Richland, SC.............          10.3         221.0       0.2       302      914       3.3      141
Spartanburg, SC..........           6.3         141.2       2.3        77      906       3.2      151
York, SC.................           5.8          94.8       3.2        24      872       2.6      213

Minnehaha, SD............           7.3         126.8       0.9       215      949       3.0      171
Davidson, TN.............          22.8         492.5       2.6        56    1,197       2.7      200
Hamilton, TN.............           9.7         204.0       2.1        87    1,041       3.7      107
Knox, TN.................          12.3         240.7       0.4       281      979       2.1      264
Rutherford, TN...........           5.7         129.3       5.2         6      946       0.6      329
Shelby, TN...............          20.6         501.9       0.5       275    1,115       2.6      213
Williamson, TN...........           8.9         132.9       2.9        38    1,258       4.1       78
Bell, TX.................           5.5         119.5       0.6       255      925       5.5       18
Bexar, TX................          41.5         865.4       1.0       196      980       2.7      200
Brazoria, TX.............           5.8         111.0       0.6       255    1,134       3.2      151

Brazos, TX...............           4.6         105.2       2.5        62      806       4.5       52
Cameron, TX..............           6.5         140.5       0.5       275      652       2.2      260
Collin, TX...............          25.3         409.2       4.1        14    1,249       1.9      281
Dallas, TX...............          77.5       1,712.8       1.7       111    1,318       3.1      163
Denton, TX...............          15.2         244.7       2.9        38    1,008       4.6       47
El Paso, TX..............          15.2         305.6       1.5       135      748       2.9      180
Fort Bend, TX............          13.5         184.7       3.2        24    1,014       3.0      171
Galveston, TX............           6.2         110.7       0.0       317      944       3.3      141
Harris, TX...............         115.3       2,293.3       1.1       181    1,352       2.4      241
Hidalgo, TX..............          12.4         261.8       2.2        81      664       2.8      188

Jefferson, TX............           5.9         121.3      -0.6       332    1,136       4.4       61
Lubbock, TX..............           7.6         140.7       0.3       295      865       3.3      141
McLennan, TX.............           5.3         113.5       0.0       317      904       5.5       18
Midland, TX..............           5.5          94.7      11.5         1    1,341       3.7      107
Montgomery, TX...........          11.4         183.5       5.9         3    1,073       4.4       61
Nueces, TX...............           8.3         163.5       0.8       229      930       3.7      107
Potter, TX...............           4.0          78.7      -1.3       343      907       4.1       78
Smith, TX................           6.2         104.9       1.5       135      901       4.5       52
Tarrant, TX..............          43.6         890.8       2.2        81    1,075       4.5       52
Travis, TX...............          41.0         737.7       2.9        38    1,278       2.4      241

Webb, TX.................           5.4         101.2       1.6       121      706       3.4      134
Williamson, TX...........          10.9         169.4       3.2        24    1,041       3.0      171
Davis, UT................           8.6         126.4       2.3        77      897       4.2       71
Salt Lake, UT............          45.7         701.6       3.1        31    1,056       2.7      200
Utah, UT.................          16.5         238.7       6.0         2      891       3.7      107
Weber, UT................           6.1         106.8       3.2        24      808       2.4      241
Chittenden, VT...........           6.9         103.3       1.0       196    1,045       1.3      308
Arlington, VA............           9.3         178.6       1.7       111    1,727       2.8      188
Chesterfield, VA.........           9.2         139.9       0.4       281      917       2.9      180
Fairfax, VA..............          37.6         611.0       1.1       181    1,646       2.0      270

Henrico, VA..............          11.8         196.5       1.4       144    1,043       4.3       67
Loudoun, VA..............          12.5         165.9       2.1        87    1,270       2.6      213
Prince William, VA.......           9.4         129.7       1.5       135      949       1.5      301
Alexandria City, VA......           6.4          93.9      -0.9       336    1,531       2.5      227
Chesapeake City, VA......           6.1         101.2       0.4       281      844       4.2       71
Newport News City, VA....           3.9         100.5       2.9        38    1,026       0.6      329
Norfolk City, VA.........           6.0         144.2       1.6       121    1,080       0.7      325
Richmond City, VA........           7.8         155.2       0.1       309    1,180       3.5      122
Virginia Beach City, VA..          12.3         177.8       0.3       295      861       3.7      107
Benton, WA...............           5.7          86.6       2.6        56    1,055       4.4       61

Clark, WA................          14.7         158.9       4.8         9    1,022       3.9       92
King, WA.................          86.6       1,377.5       2.9        38    1,583       7.0        9
Kitsap, WA...............           6.6          88.4       1.7       111    1,009       4.8       38
Pierce, WA...............          21.8         307.3       1.6       121      976       4.7       44
Snohomish, WA............          20.8         286.1       0.1       309    1,148       3.2      151
Spokane, WA..............          15.6         220.2       1.2       167      921       4.5       52
Thurston, WA.............           8.3         114.8       3.2        24      969       5.0       33
Whatcom, WA..............           7.3          89.7       1.2       167      903       6.0       13
Yakima, WA...............           7.7         107.0       4.8         9      772       4.2       71
Kanawha, WV..............           5.7          99.3      -1.5       344      904       2.8      188

Brown, WI................           7.0         157.3       0.7       240      989       3.9       92
Dane, WI.................          15.9         336.5       0.9       215    1,070       3.5      122
Milwaukee, WI............          27.0         492.1       1.0       196    1,056       1.5      301
Outagamie, WI............           5.4         108.6       0.9       215      943       2.6      213
Waukesha, WI.............          13.4         244.7       0.9       215    1,082       0.8      324
Winnebago, WI............           3.8          94.5       0.3       295    1,039       3.5      122
San Juan, PR.............          10.4         252.6      -0.9       (5)      678       0.9      (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 346 U.S. counties comprise 73.0 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
fourth quarter 2017

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                              fourth quarter
         County by NAICS supersector               2017                    Percent             Percent
                                               (thousands)      December   change,    Fourth   change,
                                                                  2017     December   quarter  fourth
                                                              (thousands)  2016-17(2)  2017    quarter
                                                                                              2016-17(2)


United States(3) ............................       9,969.4     145,921.1       1.5   $1,109       3.9
  Private industry...........................       9,671.1     124,015.7       1.7    1,114       4.1
    Natural resources and mining.............         137.4       1,801.6       3.7    1,135       4.8
    Construction.............................         792.8       6,962.2       3.7    1,282       3.9
    Manufacturing............................         347.9      12,504.4       1.2    1,331       3.6
    Trade, transportation, and utilities.....       1,919.8      28,219.9       0.9      911       3.5
    Information..............................         165.0       2,825.6       0.1    2,035       8.0
    Financial activities.....................         879.4       8,150.9       1.2    1,826       6.8
    Professional and business services.......       1,803.3      20,625.1       1.7    1,483       4.2
    Education and health services............       1,669.5      22,468.6       1.9      995       2.4
    Leisure and hospitality..................         845.8      15,681.4       1.7      481       4.1
    Other services...........................         846.4       4,441.5       1.0      746       3.8
  Government.................................         298.4      21,905.4       0.2    1,076       2.6

Los Angeles, CA..............................         494.2       4,494.5       1.6    1,343       6.4
  Private industry...........................         488.0       3,914.4       1.8    1,340       7.0
    Natural resources and mining.............           0.5           8.0       3.2    1,176       0.1
    Construction.............................          14.5         140.3       4.5    1,332       4.6
    Manufacturing............................          12.3         343.2      -2.9    1,481       6.7
    Trade, transportation, and utilities.....          54.9         859.5       0.8      994       3.9
    Information..............................          10.6         223.0       0.9    2,722      14.0
    Financial activities.....................          26.7         221.9       0.4    2,186      12.7
    Professional and business services.......          49.6         618.3       1.8    1,794       8.5
    Education and health services............         232.6         789.6       2.5      947       2.3
    Leisure and hospitality..................          33.9         522.3       1.3    1,074       5.9
    Other services...........................          26.8         148.8      -0.2      791       7.6
  Government.................................           6.2         580.2       0.4    1,363       2.8

Cook, IL.....................................         136.9       2,604.2       0.6    1,283       2.6
  Private industry...........................         135.7       2,310.8       0.7    1,291       2.8
    Natural resources and mining.............           0.1           1.2      17.4    1,239      -5.6
    Construction.............................          10.6          72.5       0.8    1,661       2.5
    Manufacturing............................           5.8         184.8       0.5    1,369       1.0
    Trade, transportation, and utilities.....          27.5         488.8      -0.3    1,009       2.5
    Information..............................           2.3          53.5      -0.8    1,838       5.7
    Financial activities.....................          13.7         196.8       1.3    2,380       4.6
    Professional and business services.......          28.5         482.6       0.6    1,711       2.9
    Education and health services............          15.3         450.4       1.5    1,042       1.6
    Leisure and hospitality..................          13.6         278.9       0.8      553       4.3
    Other services...........................          15.4          99.0       1.7      977       2.5
  Government.................................           1.3         293.4      -0.4    1,223       0.5

New York, NY.................................         128.4       2,516.0       1.4    2,439      10.4
  Private industry...........................         127.5       2,246.8       1.5    2,569      10.8
    Natural resources and mining.............           0.0           0.2       3.6    1,861      -9.3
    Construction.............................           2.3          42.5       4.7    2,356       0.5
    Manufacturing............................           2.0          25.5      -2.6    1,681       1.7
    Trade, transportation, and utilities.....          19.5         265.0      -1.2    1,546       5.6
    Information..............................           5.0         169.7       3.7    2,761       2.9
    Financial activities.....................          19.5         380.3       1.9    5,637      22.4
    Professional and business services.......          27.2         588.1       2.4    2,753       5.4
    Education and health services............          10.2         351.6       0.6    1,456       5.1
    Leisure and hospitality..................          14.7         309.4       0.6    1,050       2.9
    Other services...........................          20.4         105.5       0.7    1,251       4.9
  Government.................................           0.8         269.2       0.1    1,362       2.3

Harris, TX...................................         115.3       2,293.3       1.1    1,352       2.4
  Private industry...........................         114.8       2,014.1       1.2    1,377       2.5
    Natural resources and mining.............           1.6          67.2       1.7    3,255       0.1
    Construction.............................           7.4         156.8       0.7    1,481       0.5
    Manufacturing............................           4.8         171.0       2.4    1,672       1.3
    Trade, transportation, and utilities.....          25.0         482.2       1.1    1,178       4.3
    Information..............................           1.2          26.4      -4.6    1,584       7.7
    Financial activities.....................          12.2         126.5       1.4    1,815       1.9
    Professional and business services.......          23.2         394.4       1.4    1,790       2.9
    Education and health services............          16.1         292.4       0.5    1,095       1.8
    Leisure and hospitality..................          10.1         228.2       1.1      490       4.3
    Other services...........................          11.6          65.9       1.4      840       1.7
  Government.................................           0.5         279.3       0.5    1,173       2.5

Maricopa, AZ.................................          97.9       1,989.4       3.0    1,024       2.9
  Private industry...........................          97.2       1,776.0       3.4    1,025       2.9
    Natural resources and mining.............           0.4           8.7       3.5      974       4.1
    Construction.............................           7.0         114.5       9.7    1,185       6.2
    Manufacturing............................           3.1         121.1       3.9    1,432       4.0
    Trade, transportation, and utilities.....          18.2         393.9       1.8      919       2.8
    Information..............................           1.5          34.5       0.7    1,420       3.2
    Financial activities.....................          11.1         178.9       3.1    1,344       2.1
    Professional and business services.......          20.8         339.9       2.4    1,133       2.1
    Education and health services............          11.0         302.5       2.9    1,017       1.7
    Leisure and hospitality..................           8.0         218.1       3.8      495       4.0
    Other services...........................           6.3          50.9      -1.0      753       4.3
  Government.................................           0.7         213.5       0.0    1,012       2.7

Dallas, TX...................................          77.5       1,712.8       1.7    1,318       3.1
  Private industry...........................          76.9       1,538.5       1.8    1,330       3.2
    Natural resources and mining.............           0.5           9.2      14.7    3,218     -20.0
    Construction.............................           4.6          88.8       2.7    1,420       3.3
    Manufacturing............................           2.8         112.6       0.8    1,584       9.9
    Trade, transportation, and utilities.....          15.9         363.6       2.3    1,077       2.1
    Information..............................           1.4          48.2      -2.2    1,852       1.9
    Financial activities.....................           9.6         165.4       2.2    1,802       2.3
    Professional and business services.......          17.6         344.8       1.1    1,628       3.1
    Education and health services............           9.6         199.5       2.1    1,206       4.3
    Leisure and hospitality..................           6.9         160.9       1.9      560       3.3
    Other services...........................           6.9          43.1       0.6      876       9.0
  Government.................................           0.6         174.4       0.2    1,211       2.2

Orange, CA...................................         121.9       1,621.4       1.7    1,234       2.8
  Private industry...........................         120.4       1,475.6       2.0    1,235       2.8
    Natural resources and mining.............           0.2           2.5      -7.4      987       1.9
    Construction.............................           6.9         103.5       4.8    1,481       6.5
    Manufacturing............................           5.0         158.2      -1.2    1,506       0.5
    Trade, transportation, and utilities.....          17.2         271.1       1.2    1,055       1.0
    Information..............................           1.4          26.9       0.5    2,104       2.2
    Financial activities.....................          11.6         118.5       0.0    2,187       7.6
    Professional and business services.......          21.0         305.4       0.7    1,436       2.7
    Education and health services............          34.1         213.9       3.1    1,024       2.8
    Leisure and hospitality..................           8.7         217.3       2.6      552       3.4
    Other services...........................           6.9          45.7      -0.4      748       2.7
  Government.................................           1.5         145.8      -0.9    1,224       3.0

San Diego, CA................................         111.9       1,462.0       1.8    1,221       4.3
  Private industry...........................         110.0       1,226.5       2.0    1,198       4.5
    Natural resources and mining.............           0.6           8.5       5.9      834      12.4
    Construction.............................           7.0          81.5       4.0    1,329       5.7
    Manufacturing............................           3.2         109.1       0.4    1,655       4.3
    Trade, transportation, and utilities.....          14.4         237.0       0.8      960       5.7
    Information..............................           1.2          24.3      -1.4    2,077      13.8
    Financial activities.....................          10.3          74.6       1.3    1,581       1.5
    Professional and business services.......          18.6         237.1       2.4    1,791       4.5
    Education and health services............          32.0         201.6       2.0    1,029       2.9
    Leisure and hospitality..................           8.4         192.1       0.7      528       3.1
    Other services...........................           7.4          50.3      -0.5      656       1.9
  Government.................................           1.9         235.5       0.7    1,335       3.0

King, WA.....................................          86.6       1,377.5       2.9    1,583       7.0
  Private industry...........................          86.0       1,209.4       3.4    1,610       7.1
    Natural resources and mining.............           0.4           3.0       3.8    1,321       9.8
    Construction.............................           6.7          70.9       4.2    1,455       5.1
    Manufacturing............................           2.5         101.4      -1.1    1,679       1.0
    Trade, transportation, and utilities.....          14.3         275.3       5.7    1,714      15.0
    Information..............................           2.3         104.5       4.9    3,127       8.9
    Financial activities.....................           6.7          68.4       2.9    1,843       3.7
    Professional and business services.......          18.0         227.1       2.6    1,892       3.8
    Education and health services............          18.6         174.3       2.8    1,092       3.4
    Leisure and hospitality..................           7.3         139.1       3.1      608       7.4
    Other services...........................           9.2          45.4       2.3      884       3.2
  Government.................................           0.5         168.2      -0.4    1,384       4.5

Miami-Dade, FL...............................          98.9       1,148.3       0.8    1,065       3.8
  Private industry...........................          98.6       1,007.9       0.9    1,053       3.8
    Natural resources and mining.............           0.5           9.2       1.0      643      -4.5
    Construction.............................           6.6          46.0       2.0    1,031       4.8
    Manufacturing............................           2.9          41.1       1.0      985       2.8
    Trade, transportation, and utilities.....          25.4         293.2       1.1      936       2.5
    Information..............................           1.5          17.8      -1.4    1,768       5.7
    Financial activities.....................          10.7          76.3       0.5    1,700       3.7
    Professional and business services.......          22.2         160.9       0.9    1,379       5.3
    Education and health services............          10.7         181.7       1.9    1,034       0.9
    Leisure and hospitality..................           7.4         140.7      -0.8      665       9.9
    Other services...........................           8.4          39.6      -0.7      674       6.8
  Government.................................           0.3         140.3       0.3    1,151       3.3

(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 2016 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 2017

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                            fourth quarter
            State                2017                     Percent           Percent
                             (thousands)      December    change,   Fourth  change,
                                                2017      December  quarter fourth
                                             (thousands)  2016-17    2017   quarter
                                                                            2016-17


United States(2)...........       9,969.4     145,921.1       1.5   $1,109      3.9

Alabama....................         126.5       1,955.3       1.1      928      2.9
Alaska.....................          22.1         306.7      -1.2    1,052      1.5
Arizona....................         160.5       2,834.7       2.6      978      3.5
Arkansas...................          90.3       1,217.2       1.0      848      2.5
California.................       1,550.5      17,293.0       2.1    1,346      5.7
Colorado...................         199.3       2,653.3       2.5    1,133      4.3
Connecticut................         119.7       1,689.7       0.3    1,317      2.2
Delaware...................          31.8         444.9       0.6    1,081      2.6
District of Columbia.......          41.2         769.0       0.9    1,812      2.7
Florida....................         685.4       8,712.0       2.0      975      3.4

Georgia....................         276.2       4,425.0       1.8    1,027      3.4
Hawaii.....................          42.2         664.5       0.8      984      3.1
Idaho......................          62.6         712.4       3.0      857      7.1
Illinois...................         367.4       6,001.1       0.8    1,151      2.6
Indiana....................         165.0       3,057.8       1.1      915      3.6
Iowa.......................         102.5       1,549.7       0.4      938      3.0
Kansas.....................          88.9       1,390.3       0.4      894      1.9
Kentucky...................         121.8       1,903.8       0.5      892      2.1
Louisiana..................         132.4       1,918.8       0.4      933      2.1
Maine......................          54.6         610.3       1.2      884      3.4

Maryland...................         171.5       2,683.6       0.5    1,207      3.3
Massachusetts..............         254.7       3,582.2       1.3    1,411      4.4
Michigan...................         245.4       4,321.8       0.9    1,062      3.4
Minnesota..................         172.6       2,875.7       1.3    1,100      3.4
Mississippi................          74.1       1,140.6       0.5      774      2.4
Missouri...................         209.7       2,809.5       1.0      945      2.9
Montana....................          50.1         461.4       1.0      843      2.7
Nebraska...................          74.3         980.9       0.9      901      3.0
Nevada.....................          81.1       1,351.9       3.5      955      3.2
New Hampshire..............          52.8         661.3       0.7    1,132      3.7

New Jersey.................         273.4       4,106.9       1.6    1,262      1.8
New Mexico.................          58.5         816.7       0.6      865      2.5
New York...................         647.1       9,465.3       1.4    1,428      6.4
North Carolina.............         274.8       4,388.6       1.5      964      3.3
North Dakota...............          32.0         416.1       0.4    1,010      3.3
Ohio.......................         296.9       5,409.2       0.8      973      3.1
Oklahoma...................         111.6       1,607.8       1.2      895      3.5
Oregon.....................         153.2       1,900.4       2.0    1,014      4.5
Pennsylvania...............         357.5       5,870.4       1.2    1,075      3.5
Rhode Island...............          37.5         483.6       1.1    1,056      2.7

South Carolina.............         131.2       2,058.8       1.6      879      2.8
South Dakota...............          33.5         423.8       0.9      856      3.4
Tennessee..................         159.2       2,984.8       1.3    1,000      3.0
Texas......................         681.4      12,207.8       2.0    1,109      3.5
Utah.......................         102.0       1,465.5       3.6      936      2.9
Vermont....................          25.7         314.7       0.5      919      2.5
Virginia...................         275.2       3,884.2       1.3    1,121      2.8
Washington.................         239.6       3,305.0       2.4    1,217      5.8
West Virginia..............          50.7         693.1       0.1      847      4.7
Wisconsin..................         175.0       2,872.6       1.0      951      3.0

Wyoming....................          26.3         267.5       0.6      935      4.6

Puerto Rico................          44.5         887.0      -4.4      570      2.5
Virgin Islands.............           3.4          34.3     -11.1      827      7.7

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

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






Last Modified Date: May 23, 2018