County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, August 22, 2018	USDL-18-1355

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

COUNTY EMPLOYMENT AND WAGES
First Quarter 2018

From March 2017 to March 2018, employment increased in 314 of the 349 largest U.S. counties, the 
U.S. Bureau of Labor Statistics reported today. Midland, Texas, had the largest percentage increase with 
a gain of 12.6 percent over the year, above the national job growth rate of 1.6 percent. Within Midland, 
the largest employment increase occurred in natural resources and mining, which gained 5,728 jobs over 
the year (26.5 percent). Kanawha, W.Va., had the largest over-the-year percentage decrease in 
employment among the largest counties in the U.S., with a loss of 1.4 percent. Within Kanawha, the 
largest employment decrease occurred in state government, which lost 390 jobs (-3.4 percent) over the 
year.

The U.S. average weekly wage increased 3.7 percent over the year, growing to $1,152 in the first 
quarter of 2018. Peoria, Ill., had the largest over-the-year percentage increase in average weekly wages, 
with a gain of 23.8 percent. Within Peoria, an average weekly wage gain of $1,802 (60.6 percent) in 
manufacturing made the largest contribution to the county’s increase in average weekly wages. Forsyth, 
N.C., had the largest over-the-year percentage decrease in average weekly wages with a loss of 4.8 
percent. Within Forsyth, professional and business services had the largest impact on the county’s 
average weekly wage change with a decrease of $304 (-18.7 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 5 months following the end of each quarter.

Large County Employment

In March 2018, national employment was 144.6 million (as measured by the QCEW program). Over the 
year, employment increased by 1.6 percent, or 2.3 million. In March 2018, the 349 U.S. counties with 
75,000 or more jobs accounted for 73.1 percent of total U.S. employment and 79.2 percent of total 
wages. These 349 counties had a net job growth of 1.6 million over the year, accounting for 72.4 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 237,600 jobs, which was 10.5 percent of the overall 
job increase for the U.S. (See table A.) 

Employment declined in 31 of the largest counties from March 2017 to March 2018. Kanawha, W.Va., 
had the largest over-the-year percentage decrease in employment (-1.4 percent), followed by Saginaw, 
Mich.; Alexandria City, Va.; Jefferson, Texas; Montgomery, Ala.; and Caddo, La. (See table 1.)

Table A.  Large counties ranked by March 2018 employment, March 2017-18 employment increase, and
March 2017-18 percent increase in employment

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                                       Employment in large counties
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       March 2018 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |           March 2017-18          |           March 2017-18
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           144,562.9| United States             2,269.1| United States                 1.6
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,424.4| Los Angeles, Calif.          69.8| Midland, Texas               12.6
 Cook, Ill.                2,565.0| Maricopa, Ariz.              61.5| Utah, Utah                    6.0
 New York, N.Y.            2,446.5| King, Wash.                  39.6| Boone, Ky.                    5.9
 Harris, Texas             2,287.9| Kings, N.Y.                  33.9| Montgomery, Texas             5.6
 Maricopa, Ariz.           1,983.6| Orange, Calif.               32.8| Calcasieu, La.                5.0
 Dallas, Texas             1,684.9| San Diego, Calif.            29.7| Weld, Colo.                   4.7
 Orange, Calif.            1,617.5| Harris, Texas                29.2| Elkhart, Ind.                 4.7
 San Diego, Calif.         1,452.7| Orange, Fla.                 28.4| Kings, N.Y.                   4.7
 King, Wash.               1,375.1| Fulton, Ga.                  25.7| Adams, Colo.                  4.5
 Miami-Dade, Fla.          1,147.0| Dallas, Texas                25.7| Ada, Idaho                    4.5
                                  |                                  | Clark, Wash.                  4.5
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Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,152, a 3.7 percent increase, during the year ending 
in the first quarter of 2018. Among the 349 largest counties, 336 had over-the-year increases in average 
weekly wages. Peoria, Ill., had the largest percentage wage increase among the largest U.S. counties 
(23.8 percent). (See table B.) 

Of the 349 largest counties, 13 experienced an over-the-year decrease in average weekly wages. Forsyth, 
N.C., had the largest percentage decrease in average weekly wages (-4.8 percent), followed by 
Washington, Ark.; McLean, Ill.; Newport News City, Va.; and Lexington, S.C. (See table 1.)

Table B.  Large counties ranked by first quarter 2018 average weekly wages, first quarter 2017-18
increase in average weekly wages, and first quarter 2017-18 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
         first quarter 2018       |   wage, first quarter 2017-2018  |         weekly wage, first
                                  |                                  |         quarter 2017-2018
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,152| United States                 $41| United States                 3.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 New York, N.Y.             $3,087| Peoria, Ill.                 $277| Peoria, Ill.                 23.8
 Santa Clara, Calif.         2,651| Suffolk, Mass.                245| Suffolk, Mass.               12.1
 San Mateo, Calif.           2,606| San Francisco, Calif.         225| Clayton, Ga.                 11.3
 San Francisco, Calif.       2,485| Santa Clara, Calif.           221| King, Wash.                  10.1
 Suffolk, Mass.              2,268| San Mateo, Calif.             169| San Francisco, Calif.        10.0
 Somerset, N.J.              2,078| King, Wash.                   162| Utah, Utah                    9.7
 Fairfield, Conn.            1,959| Clayton, Ga.                  134| Santa Clara, Calif.           9.1
 Arlington, Va.              1,925| Hudson, N.J.                  125| Muscogee, Ga.                 8.7
 Washington, D.C.            1,917| Snohomish, Wash.              101| Hillsborough, N.H.            8.6
 Morris, N.J.                1,808| Hillsborough, N.H.             98| Snohomish, Wash.              8.6
--------------------------------------------------------------------------------------------------------

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in March 2018. 
Maricopa, Ariz., had the largest gain (3.2 percent). Within Maricopa, education and health services had 
the largest over-the-year employment level increase, with a gain of 12,239 jobs, or 4.1 percent. Cook, 
Ill., had the smallest percentage increase in employment among the 10 largest counties (0.7 percent). 
Within Cook, education and health services had the largest over-the-year employment level increase, 
with a gain of 6,161 jobs, or 1.4 percent. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Wash., 
experienced the largest percentage gain in average weekly wages (10.1 percent). Within King, 
professional and business services had the largest impact on the county’s average weekly wage gain. 
Within professional and business services, average weekly wages increased by $305, or 16.9 percent, 
over the year. Los Angeles, Calif., had the smallest percentage gain in average weekly wages among the 
10 largest counties (2.3 percent). Within Los Angeles, manufacturing had the largest impact on the 
county’s average weekly wage growth with an increase of $73 (5.1 percent) over the year. 

For More Information

The tables included in this release contain data for the nation and for the 349 U.S. counties with annual 
average employment levels of 75,000 or more in 2017. March 2018 employment and first quarter 2018 
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 144.6 million full- and part-time workers. The full 
set of data for the first quarter of 2018 will be available on September 5, 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 first quarter 2018 is scheduled to be 
released on Wednesday, September 5, 2018. 

The County Employment and Wages release for second quarter 2018 is scheduled to be released 
on Wednesday, November 21, 2018.

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|                                                                                                          |
|                 County Changes for the 2018 County Employment and Wages News Releases                    |
|                                                                                                          |
|  Counties with annual average employment of 75,000 or more in 2017 are included in this release and      |
|  will be included in future 2018 releases. Three counties have been added to the publication tables:     |
|  Cabarrus, N.C.; Pitt, N.C.; and Kent, R.I.                                                              |
|                                                                                                          |
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|                                                                                                          |
|              Change in QCEW Oregon Classification of Services for the Elderly and Disabled               |
|                                                                                                          |
|  Prior to this release, some Oregon workers employed in the services for the elderly and disabled        |
|  industry were classified in QCEW under state government ownership. Beginning with data in this release  |
|  for first quarter 2018, QCEW classifies most of these workers in private ownership. This change in      |
|  ownership resulted from the passage of state legislation in 2017. The industry classification for       |
|  these workers has not changed. For more information, contact the Oregon Labor Market Information        |
|  group at sf202_or@bls.gov.                                                                              |
|                                                                                                          |
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Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of 
Employment and Wages (QCEW) program, also known as the ES-202 program. The data are 
derived from summaries of employment and total pay of workers covered by state and federal 
unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The 
summaries are a result of the administration of state unemployment insurance programs that 
require most employers to pay quarterly taxes based on the employment and wages of workers 
covered by UI. QCEW data in this release are based on the 2017 North American Industry 
Classification System (NAICS). Data for 2018 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 349 counties 
presented in this release were derived using 2017 preliminary annual averages of employment. For 
2018 data, three counties have been added to the publication tables: Cabarrus, N.C.; Pitt, N.C.; and 
Kent, R.I. These counties will be included in all 2018 quarterly releases. The counties in table 2 are 
selected and sorted each year based on the annual average employment from the preceding year.

The preliminary QCEW data presented in this release may differ from data released by the 
individual states. These potential differences result from the states' continuing receipt of UI data 
over time and ongoing review and editing. The individual states determine their data release 
timetables.

Differences between QCEW, BED, and CES employment measures

The Bureau publishes three different establishment-based employment measures for any given 
quarter: 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 10.0  |  ministrative records|  ments
            |  million establish- |  submitted by 7.9    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2018    |  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 9.8 million
employer reports of employment and wages submitted by states to the BLS in 2017. 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 2017, UI and UCFE programs 
covered workers in 143.9 million jobs. The estimated 138.6 million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.4 percent of civilian wage and salary 
employment. Covered workers received $7.968 trillion in pay, representing 94.3 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 2017 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 350 largest counties,
first quarter 2018

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          first quarter                Percent    Ranking            Percent   Ranking
                                2018          March     change,      by      First    change,     by
                            (thousands)       2018       March     percent  quarter    first    percent
                                          (thousands)  2017-18(3)  change     2018    quarter   change
                                                                                     2017-18(3)

United States(4).........      10,008.0     144,562.9       1.6        -    $1,152       3.7       -

Jefferson, AL............          18.7         347.1       1.7       129    1,134       3.3      141
Madison, AL..............           9.7         198.3       2.5        62    1,152       2.6      206
Mobile, AL...............          10.2         169.7      -0.2       325      901       3.2      152
Montgomery, AL...........           6.4         130.9      -0.9       344      870       0.7      322
Shelby, AL...............           5.8          84.8       1.2       181    1,101       4.0       85
Tuscaloosa, AL...........           4.6          93.6       1.4       158      878       5.1       34
Anchorage, AK............           8.3         146.3      -0.1       319    1,120       2.5      214
Maricopa, AZ.............          99.0       1,983.6       3.2        36    1,084       3.3      141
Pima, AZ.................          18.9         368.4       0.9       222      921       4.1       78
Benton, AR...............           6.6         119.8       1.8       122    1,502       2.8      190

Pulaski, AR..............          14.5         249.4       0.2       300      977       3.3      141
Washington, AR...........           6.1         107.7       2.9        48      852      -3.1      348
Alameda, CA..............          64.0         779.8       2.4        70    1,516       4.2       70
Butte, CA................           8.6          83.3       1.7       129      800       3.6      121
Contra Costa, CA.........          32.6         369.1       1.2       181    1,396       3.6      121
Fresno, CA...............          35.8         377.1       0.8       232      834       3.7      111
Kern, CA.................          19.4         303.0       0.6       267      914       2.9      180
Los Angeles, CA..........         492.3       4,424.4       1.6       140    1,252       2.3      243
Marin, CA................          12.5         114.7       1.2       181    1,415       7.1       14
Merced, CA...............           6.7          78.1       2.1        93      796      -1.1      342

Monterey, CA.............          13.8         178.4       3.4        29      926       3.0      172
Napa, CA.................           5.9          77.1       1.1       200    1,059       5.4       27
Orange, CA...............         121.6       1,617.5       2.1        93    1,258       3.2      152
Placer, CA...............          13.2         166.0       3.4        29    1,081       2.0      273
Riverside, CA............          65.1         732.6       3.1        38      890       2.8      190
Sacramento, CA...........          58.5         655.7       2.3        76    1,174       2.4      228
San Bernardino, CA.......          59.8         744.5       3.1        38      902       3.0      172
San Diego, CA............         111.7       1,452.7       2.1        93    1,218       3.9       93
San Francisco, CA........          60.7         730.5       2.9        48    2,485      10.0        5
San Joaquin, CA..........          18.0         248.2       2.0       103      879       3.3      141

San Luis Obispo, CA......          10.4         117.6       0.8       232      919       4.3       65
San Mateo, CA............          28.3         399.3       1.7       129    2,606       6.9       16
Santa Barbara, CA........          15.5         195.8       1.7       129    1,019       0.2      335
Santa Clara, CA..........          73.1       1,085.4       2.2        84    2,651       9.1        7
Santa Cruz, CA...........           9.6         101.2       1.0       212      992       3.9       93
Solano, CA...............          11.5         139.5       2.0       103    1,194       6.0       20
Sonoma, CA...............          20.1         206.9       1.6       140    1,030       5.2       29
Stanislaus, CA...........          15.8         186.9       2.4        70      905       2.7      197
Tulare, CA...............          10.6         154.9      -0.7       340      771       2.8      190
Ventura, CA..............          27.4         326.0       0.7       247    1,100      -0.9      340

Yolo, CA.................           6.8         101.9       1.9       113    1,189       2.9      180
Adams, CO................          11.2         209.0       4.5         9    1,046       2.4      228
Arapahoe, CO.............          22.3         328.0       1.7       129    1,377       3.5      124
Boulder, CO..............          15.5         181.2       2.3        76    1,312       2.5      214
Denver, CO...............          33.0         511.0       2.9        48    1,458       4.1       78
Douglas, CO..............          12.2         123.1       2.3        76    1,337       3.9       93
El Paso, CO..............          20.1         272.4       2.2        84      977       3.2      152
Jefferson, CO............          20.5         235.4       2.2        84    1,155       2.6      206
Larimer, CO..............          12.4         158.4       3.1        38    1,026       4.4       59
Weld, CO.................           7.5         108.2       4.7         6    1,040       6.0       20

Fairfield, CT............          35.7         414.5      -0.3       335    1,959       0.4      329
Hartford, CT.............          28.2         504.6       0.2       300    1,467       3.7      111
New Haven, CT............          24.5         362.0       0.3       293    1,100       2.3      243
New London, CT...........           7.6         122.3      -0.2       325    1,167       3.3      141
New Castle, DE...........          19.9         286.6       0.8       232    1,386       1.2      315
Sussex, DE...............           6.9          77.0       3.6        21      788       3.8      101
Washington, DC...........          41.3         770.2       1.2       181    1,917       1.9      278
Alachua, FL..............           7.2         132.0       1.4       158      940       7.3       13
Bay, FL..................           5.7          78.3       1.0       212      756       2.0      273
Brevard, FL..............          16.1         213.9       3.3        32      940       2.1      264

Broward, FL..............          70.1         808.9       1.3       170    1,047       4.9       39
Collier, FL..............          14.2         152.0       1.3       170      929       5.2       29
Duval, FL................          29.8         513.4       3.3        32    1,100       5.0       36
Escambia, FL.............           8.2         134.8       1.4       158      879       3.4      132
Hillsborough, FL.........          43.0         686.9       1.6       140    1,105       4.0       85
Lake, FL.................           8.3          98.6       1.8       122      712       4.2       70
Lee, FL..................          22.4         267.9       3.0        41      858       2.9      180
Leon, FL.................           8.8         150.8       2.3        76      865       3.3      141
Manatee, FL..............          11.1         125.6       1.5       149      821       4.3       65
Marion, FL...............           8.5         103.0       1.4       158      723       4.0       85

Miami-Dade, FL...........          99.8       1,147.0       1.4       158    1,101       4.5       56
Okaloosa, FL.............           6.5          85.1       2.1        93      855       1.3      310
Orange, FL...............          43.0         846.8       3.5        25      982       4.1       78
Osceola, FL..............           7.2          94.5       4.0        16      713       1.9      278
Palm Beach, FL...........          57.3         613.1       1.6       140    1,086       3.1      160
Pasco, FL................          11.1         120.1       2.9        48      733       2.4      228
Pinellas, FL.............          33.5         435.9       2.4        70      947       4.1       78
Polk, FL.................          13.5         219.6       1.2       181      824       1.4      307
Sarasota, FL.............          16.1         173.0       1.8       122      924       7.7       11
Seminole, FL.............          15.1         193.8       3.6        21      940       4.3       65

Volusia, FL..............          14.5         174.4       1.2       181      762       2.6      206
Bibb, GA.................           4.2          82.8       1.0       212      855       2.4      228
Chatham, GA..............           8.1         156.3       3.5        25      932       3.1      160
Clayton, GA..............           4.0         121.3       1.8       122    1,320      11.3        3
Cobb, GA.................          22.1         361.3       2.0       103    1,218       1.7      293
DeKalb, GA...............          17.9         298.7       0.8       232    1,169       2.4      228
Fulton, GA...............          43.9         868.9       3.0        41    1,672       0.3      332
Gwinnett, GA.............          25.2         353.2       2.2        84    1,054       0.4      329
Hall, GA.................           4.5          87.4       2.2        84      879       1.9      278
Muscogee, GA.............           4.6          94.9       1.2       181      963       8.7        8

Richmond, GA.............           4.4         106.3       1.9       113      867      -0.1      337
Honolulu, HI.............          26.2         474.8      -0.2       325    1,015       1.8      285
Maui + Kalawao, HI.......           6.3          78.1       0.8       232      882       4.4       59
Ada, ID..................          15.8         239.9       4.5         9      943       5.1       34
Champaign, IL............           4.0          89.6       0.3       293      912       2.5      214
Cook, IL.................         138.7       2,565.0       0.7       247    1,420       3.7      111
DuPage, IL...............          34.6         612.0      -0.1       319    1,309       2.7      197
Kane, IL.................          12.5         211.6       0.6       267      953       2.6      206
Lake, IL.................          20.3         328.8       2.0       103    1,686       4.6       51
McHenry, IL..............           7.8          95.7       0.7       247      861       2.0      273

McLean, IL...............           3.4          82.7      -0.3       335    1,114      -2.5      347
Madison, IL..............           5.4         100.6       2.6        59      837       1.3      310
Peoria, IL...............           4.2         105.4       2.8        53    1,440      23.8        1
St. Clair, IL............           5.1          93.0      -0.7       340      809       0.9      321
Sangamon, IL.............           4.8         128.9      -0.2       325    1,069       4.4       59
Will, IL.................          14.7         239.1       1.0       212      911       2.5      214
Winnebago, IL............           6.0         125.5       0.4       282      942       2.3      243
Allen, IN................           8.9         185.1       1.1       200      929       3.8      101
Elkhart, IN..............           4.7         137.5       4.7         6    1,006       3.8      101
Hamilton, IN.............           9.5         139.8       2.3        76    1,134       3.8      101

Lake, IN.................          10.4         185.9       0.7       247      920       2.1      264
Marion, IN...............          24.2         591.9       0.5       273    1,218       5.0       36
St. Joseph, IN...........           5.8         122.3      -0.1       319      857       3.8      101
Tippecanoe, IN...........           3.4          83.9       1.2       181      964       6.6       17
Vanderburgh, IN..........           4.8         108.4       1.9       113      888       2.3      243
Johnson, IA..............           4.3          84.0       0.5       273      976       2.4      228
Linn, IA.................           6.9         129.3       0.7       247    1,039       1.9      278
Polk, IA.................          17.6         296.6       1.1       200    1,163       1.7      293
Scott, IA................           5.7          89.4      -0.2       325      876       2.5      214
Johnson, KS..............          23.3         344.0       1.8       122    1,131       1.8      285

Sedgwick, KS.............          12.5         247.8       0.3       293      967       2.4      228
Shawnee, KS..............           5.0          96.3      -0.5       339      903       2.3      243
Wyandotte, KS............           3.4          88.2       1.1       200    1,025       2.1      264
Boone, KY................           4.5          91.1       5.9         3      905       0.1      336
Fayette, KY..............          11.1         191.4       0.1       310      925       2.5      214
Jefferson, KY............          25.4         464.4       0.6       267    1,118       2.0      273
Caddo, LA................           7.2         111.6      -0.9       344      833       2.2      253
Calcasieu, LA............           5.4         101.9       5.0         5      969       4.1       78
East Baton Rouge, LA.....          15.8         267.8       0.4       282    1,024       2.4      228
Jefferson, LA............          14.0         188.3      -0.8       342      935       1.0      319

Lafayette, LA............           9.7         129.3       0.0       315      889       2.2      253
Orleans, LA..............          12.9         194.8       0.7       247    1,059       4.0       85
St. Tammany, LA..........           8.4          87.3       1.1       200      901       2.9      180
Cumberland, ME...........          13.8         183.9       4.0        16    1,055       3.9       93
Anne Arundel, MD.........          15.2         268.7       0.7       247    1,165       3.9       93
Baltimore, MD............          21.2         375.6       0.2       300    1,109       3.1      160
Frederick, MD............           6.4         101.4       1.4       158      984      -0.1      337
Harford, MD..............           5.8          92.8       1.8       122      989      -1.4      343
Howard, MD...............          10.0         168.3      -0.2       325    1,348       2.6      206
Montgomery, MD...........          32.7         469.1       0.2       300    1,586       5.9       22

Prince George's, MD......          16.0         316.2       0.5       273    1,112       2.2      253
Baltimore City, MD.......          13.6         343.1       2.5        62    1,277       1.8      285
Barnstable, MA...........           9.6          86.4       0.2       300      926       2.2      253
Bristol, MA..............          17.8         222.6       0.0       315      954      -1.5      344
Essex, MA................          26.2         320.6       0.5       273    1,180       3.1      160
Hampden, MA..............          18.6         206.1       0.7       247      982       1.8      285
Middlesex, MA............          55.7         908.8       1.7       129    1,795       4.2       70
Norfolk, MA..............          25.5         349.8       0.8       232    1,288       1.3      310
Plymouth, MA.............          16.2         189.6       1.3       170    1,003       4.2       70
Suffolk, MA..............          30.5         669.0       1.8       122    2,268      12.1        2

Worcester, MA............          25.8         345.4       0.7       247    1,094       1.3      310
Genesee, MI..............           6.8         132.5       0.4       282      889       1.7      293
Ingham, MI...............           6.0         151.1       0.2       300    1,034       4.7       46
Kalamazoo, MI............           5.0         119.1       0.8       232    1,046       1.7      293
Kent, MI.................          14.5         403.4       2.2        84      950       2.3      243
Macomb, MI...............          17.6         329.1       2.2        84    1,141       2.6      206
Oakland, MI..............          39.4         727.9       1.3       170    1,277       3.1      160
Ottawa, MI...............           5.6         124.7       1.6       140      935       4.8       41
Saginaw, MI..............           3.9          82.1      -1.3       348      901       5.3       28
Washtenaw, MI............           8.2         213.5       1.6       140    1,132       2.3      243

Wayne, MI................          31.0         716.5       0.7       247    1,268       3.8      101
Anoka, MN................           7.3         122.0       0.7       247      985       3.7      111
Dakota, MN...............          10.1         185.5      -0.2       325    1,100       2.4      228
Hennepin, MN.............          41.4         919.2       1.0       212    1,497       1.7      293
Olmsted, MN..............           3.5          98.0       1.7       129    1,270       3.5      124
Ramsey, MN...............          13.6         328.1       0.4       282    1,346      -1.0      341
St. Louis, MN............           5.4          96.4       0.2       300      870       4.7       46
Stearns, MN..............           4.4          85.3      -0.1       319      932       1.6      302
Washington, MN...........           5.7          84.6       2.1        93      954       2.6      206
Harrison, MS.............           4.6          85.2       0.1       310      754       2.9      180

Hinds, MS................           5.8         120.6      -0.8       342      903       1.9      278
Boone, MO................           5.0          93.6       0.2       300      829       0.5      326
Clay, MO.................           5.7         102.6       1.5       149      951       1.8      285
Greene, MO...............           9.1         165.8       1.2       181      813       1.2      315
Jackson, MO..............          22.2         366.2      -0.3       335    1,087       1.7      293
St. Charles, MO..........           9.7         146.5       0.7       247      959       5.2       29
St. Louis, MO............          39.5         600.9       0.7       247    1,202       4.9       39
St. Louis City, MO.......          14.8         227.8       1.4       158    1,249       3.9       93
Yellowstone, MT..........           6.6          80.2      -0.1       319      912       1.4      307
Douglas, NE..............          19.0         336.5       0.3       293    1,034       3.0      172

Lancaster, NE............          10.3         169.5       1.3       170      877       3.7      111
Clark, NV................          55.0         982.8       2.6        59      970       5.0       36
Washoe, NV...............          14.9         218.2       2.3        76      956       5.2       29
Hillsborough, NH.........          12.1         201.9       0.4       282    1,242       8.6        9
Merrimack, NH............           5.1          77.2       1.1       200    1,002       4.2       70
Rockingham, NH...........          10.9         145.9       0.8       232    1,085       3.8      101
Atlantic, NJ.............           6.6         119.8      -0.2       325      907       2.3      243
Bergen, NJ...............          33.3         439.3       1.3       170    1,315       2.1      264
Burlington, NJ...........          11.1         202.5       1.4       158    1,138       3.2      152
Camden, NJ...............          12.1         203.9       0.4       282    1,045       3.7      111

Essex, NJ................          20.7         341.8       0.6       267    1,506       2.6      206
Gloucester, NJ...........           6.4         110.2       2.7        56      893       2.1      264
Hudson, NJ...............          15.3         262.3       0.7       247    1,753       7.7       11
Mercer, NJ...............          11.2         247.4       1.3       170    1,531       2.4      228
Middlesex, NJ............          22.5         424.1       1.0       212    1,363       2.9      180
Monmouth, NJ.............          20.2         255.6       1.4       158    1,120       4.8       41
Morris, NJ...............          17.2         289.7       1.2       181    1,808       1.5      305
Ocean, NJ................          13.5         164.0       3.2        36      862       1.7      293
Passaic, NJ..............          12.7         165.1       0.4       282    1,043       2.2      253
Somerset, NJ.............          10.3         184.7       0.7       247    2,078       2.5      214

Union, NJ................          14.5         225.3       2.1        93    1,400       0.4      329
Bernalillo, NM...........          18.7         326.0       0.3       293      916       2.1      264
Albany, NY...............          10.4         231.2      -0.2       325    1,102       2.7      197
Bronx, NY................          19.1         316.8       1.7       129    1,040       2.7      197
Broome, NY...............           4.5          85.5       0.1       310      869       4.6       51
Dutchess, NY.............           8.4         111.9       0.9       222    1,036       2.4      228
Erie, NY.................          24.7         464.6       0.6       267      996       3.0      172
Kings, NY................          63.8         756.7       4.7         6      920       2.0      273
Monroe, NY...............          19.0         384.0       0.8       232    1,002       3.2      152
Nassau, NY...............          54.3         628.7       1.5       149    1,195       2.7      197

New York, NY.............         128.9       2,446.5       1.0       212    3,087       2.9      180
Oneida, NY...............           5.3         105.0       0.3       293      843       3.2      152
Onondaga, NY.............          12.8         241.6       0.8       232    1,002       3.0      172
Orange, NY...............          10.5         144.0       2.4        70      899       1.2      315
Queens, NY...............          53.8         693.7       1.9       113    1,071       1.8      285
Richmond, NY.............          10.0         120.7       1.4       158      971       2.8      190
Rockland, NY.............          11.0         124.1       2.4        70    1,064       2.2      253
Saratoga, NY.............           6.0          86.7       2.9        48      992       3.3      141
Suffolk, NY..............          53.2         645.1      -0.1       319    1,143       1.2      315
Westchester, NY..........          36.4         424.6       0.9       222    1,526       3.3      141

Buncombe, NC.............           9.4         131.1       2.2        84      815       2.5      214
Cabarrus, NC.............           4.8          75.7       2.2        84      793       2.1      264
Catawba, NC..............           4.4          87.8       0.5       273      841       1.8      285
Cumberland, NC...........           6.3         120.1       0.9       222      800       1.4      307
Durham, NC...............           8.4         202.0       1.9       113    1,428       2.9      180
Forsyth, NC..............           9.2         185.4       1.4       158    1,052      -4.8      349
Guilford, NC.............          14.5         281.1       0.9       222      953       2.5      214
Mecklenburg, NC..........          38.4         688.2       2.0       103    1,518       3.5      124
New Hanover, NC..........           8.3         113.1       1.5       149      874       2.2      253
Pitt, NC.................           3.8          77.4       2.8        53      853       2.8      190

Wake, NC.................          35.2         552.2       3.0        41    1,151       3.7      111
Cass, ND.................           7.2         116.0       0.7       247      970       3.1      160
Butler, OH...............           7.9         153.2       1.5       149    1,005       1.3      310
Cuyahoga, OH.............          36.0         715.6       0.9       222    1,150       3.0      172
Delaware, OH.............           5.4          86.2       1.9       113    1,205       2.7      197
Franklin, OH.............          32.3         744.3       1.6       140    1,148       3.0      172
Hamilton, OH.............          23.9         510.5       0.5       273    1,209       0.6      325
Lake, OH.................           6.3          93.8       0.7       247      888       2.1      264
Lorain, OH...............           6.2          96.4       1.1       200      848       2.8      190
Lucas, OH................          10.1         207.3       0.2       300      998       5.7       23

Mahoning, OH.............           5.9          96.1       0.5       273      747       2.5      214
Montgomery, OH...........          11.9         253.6       1.2       181      920       2.4      228
Stark, OH................           8.6         158.7       1.5       149      816       4.6       51
Summit, OH...............          14.3         262.8       0.4       282      981       1.0      319
Warren, OH...............           5.1          91.7       1.0       212    1,035       3.5      124
Cleveland, OK............           5.9          81.1       2.1        93      759       2.2      253
Oklahoma, OK.............          28.3         452.0       2.1        93    1,064       4.0       85
Tulsa, OK................          22.7         355.0       1.5       149    1,010       2.5      214
Clackamas, OR............          15.3         163.7       1.1       200    1,008       4.0       85
Deschutes, OR............           8.8          81.2       4.1        14      868       3.7      111

Jackson, OR..............           7.6          88.5       3.3        32      791       2.3      243
Lane, OR.................          12.3         155.4       1.2       181      827       3.4      132
Marion, OR...............          11.0         152.7       2.0       103      867       2.8      190
Multnomah, OR............          35.6         507.2       1.7       129    1,170       5.2       29
Washington, OR...........          19.7         293.6       2.5        62    1,419       4.7       46
Allegheny, PA............          35.5         691.3       1.2       181    1,238       3.1      160
Berks, PA................           9.0         171.8       1.2       181      976       4.2       70
Bucks, PA................          20.0         261.8       1.2       181    1,002       2.5      214
Butler, PA...............           5.1          84.9       0.1       310      967       0.5      326
Chester, PA..............          15.6         247.7       1.3       170    1,479       4.2       70

Cumberland, PA...........           6.5         132.7       0.4       282      997       3.5      124
Dauphin, PA..............           7.5         180.5       1.9       113    1,085       2.5      214
Delaware, PA.............          14.2         222.5       1.2       181    1,272       4.3       65
Erie, PA.................           7.0         120.2       0.0       315      825       3.1      160
Lackawanna, PA...........           5.7          97.2       1.2       181      808       4.1       78
Lancaster, PA............          13.6         238.3       2.1        93      902       2.2      253
Lehigh, PA...............           8.8         188.9       2.0       103    1,073       0.7      322
Luzerne, PA..............           7.4         143.6       1.3       170      837       1.6      302
Montgomery, PA...........          27.7         490.0       1.0       212    1,497       3.5      124
Northampton, PA..........           6.8         113.4       0.4       282      932       1.7      293

Philadelphia, PA.........          34.9         677.2       1.5       149    1,322       3.4      132
Washington, PA...........           5.5          86.0       1.6       140    1,228       3.3      141
Westmoreland, PA.........           9.3         131.9       0.5       273      880       4.5       56
York, PA.................           9.2         178.0       0.9       222      936       3.3      141
Kent, RI.................           5.5          74.2       0.9       222      978       2.2      253
Providence, RI...........          18.5         284.0       0.8       232    1,145       3.1      160
Charleston, SC...........          15.6         249.3       2.5        62      981       3.4      132
Greenville, SC...........          14.5         271.6       2.5        62      936       2.7      197
Horry, SC................           9.2         126.6       2.8        53      631       0.5      326
Lexington, SC............           6.8         118.8       3.4        29      803      -2.2      345

Richland, SC.............          10.4         221.6       0.1       310      945       1.9      278
Spartanburg, SC..........           6.4         141.1       3.7        20      927       4.6       51
York, SC.................           5.9          94.3       3.0        41      935       3.4      132
Minnehaha, SD............           7.3         125.3       1.1       200      948       2.7      197
Davidson, TN.............          23.2         488.4       2.7        56    1,228       6.2       19
Hamilton, TN.............           9.9         203.5       2.0       103      963       2.4      228
Knox, TN.................          12.4         237.3       0.9       222      982       4.4       59
Rutherford, TN...........           5.8         129.3       3.5        25      906       0.3      332
Shelby, TN...............          20.8         492.5       1.1       200    1,074       1.6      302
Williamson, TN...........           9.0         132.7       4.2        13    1,280       2.1      264

Bell, TX.................           5.5         118.4       0.8       232      876       0.7      322
Bexar, TX................          41.6         860.6       1.2       181    1,009       2.5      214
Brazoria, TX.............           5.9         110.9       1.7       129    1,206       3.5      124
Brazos, TX...............           4.6         105.8       3.3        32      805       5.5       25
Cameron, TX..............           6.5         139.3       1.5       149      628       2.3      243
Collin, TX...............          25.6         409.9       3.6        21    1,374       3.4      132
Dallas, TX...............          77.4       1,684.9       1.6       140    1,426       3.4      132
Denton, TX...............          15.3         242.1       2.3        76      984       0.3      332
El Paso, TX..............          15.3         304.0       0.8       232      744       2.9      180
Fort Bend, TX............          13.6         185.3       4.3        12    1,050       3.2      152

Galveston, TX............           6.2         109.0       0.0       315    1,013       7.0       15
Harris, TX...............         115.4       2,287.9       1.3       170    1,495       3.5      124
Hidalgo, TX..............          12.5         261.3       1.9       113      657       2.7      197
Jefferson, TX............           5.9         122.2      -1.1       346    1,172       4.5       56
Lubbock, TX..............           7.6         139.0       0.9       222      830       4.3       65
McLennan, TX.............           5.3         111.8       0.2       300      895       4.8       41
Midland, TX..............           5.6          99.6      12.6         1    1,510       5.7       23
Montgomery, TX...........          11.6         185.0       5.6         4    1,150       5.5       25
Nueces, TX...............           8.3         163.3      -0.3       335      920       1.8      285
Potter, TX...............           3.9          77.7       0.3       293      847       3.8      101

Smith, TX................           6.3         102.4       1.0       212      856       3.8      101
Tarrant, TX..............          43.9         887.6       2.1        93    1,108       4.4       59
Travis, TX...............          41.4         738.6       2.7        56    1,307       4.0       85
Webb, TX.................           5.5         100.9       1.1       200      690       2.4      228
Williamson, TX...........          11.1         169.7       3.8        19    1,171       3.4      132
Davis, UT................           8.6         127.1       2.0       103      867       4.7       46
Salt Lake, UT............          44.9         692.1       2.5        62    1,081       4.1       78
Utah, UT.................          16.4         239.9       6.0         2      930       9.7        6
Weber, UT................           6.1         106.1       3.5        25      808       3.1      160
Chittenden, VT...........           6.9         100.4       1.1       200    1,055       3.6      121

Arlington, VA............           9.3         175.9       1.2       181    1,925       3.9       93
Chesterfield, VA.........           9.2         136.2       1.9       113      942       3.1      160
Fairfax, VA..............          37.5         603.9       1.4       158    1,802       3.0      172
Henrico, VA..............          11.7         189.9       1.3       170    1,113       1.5      305
Loudoun, VA..............          12.5         165.4       2.6        59    1,289       3.1      160
Prince William, VA.......           9.4         128.4       2.5        62      936       4.0       85
Alexandria City, VA......           6.4          91.5      -1.2       347    1,499       2.4      228
Chesapeake City, VA......           6.1         101.1       2.0       103      850       2.2      253
Newport News City, VA....           3.9         100.7       4.1        14    1,037      -2.4      346
Norfolk City, VA.........           6.0         142.7       0.7       247    1,052       2.9      180

Richmond City, VA........           7.8         155.1       0.7       247    1,308       4.4       59
Virginia Beach City, VA..          12.3         175.6      -0.2       325      823       3.4      132
Benton, WA...............           5.7          87.8       3.6        21    1,060       1.9      278
Clark, WA................          14.6         159.8       4.5         9    1,011       4.8       41
King, WA.................          86.3       1,375.1       3.0        41    1,761      10.1        4
Kitsap, WA...............           6.6          88.5       3.0        41      960       3.7      111
Pierce, WA...............          21.8         306.9       2.4        70      979       3.7      111
Snohomish, WA............          20.7         284.6       0.7       247    1,278       8.6        9
Spokane, WA..............          15.6         220.8       2.5        62      934       3.3      141
Thurston, WA.............           8.3         115.7       3.0        41      981       4.7       46

Whatcom, WA..............           7.3          90.3       2.3        76      923       4.8       41
Yakima, WA...............           7.7         111.9       4.0        16      758       4.6       51
Kanawha, WV..............           5.7          98.2      -1.4       349      934       1.7      293
Brown, WI................           7.0         156.6       1.7       129      997       3.9       93
Dane, WI.................          15.8         332.1       0.8       232    1,144       4.2       70
Milwaukee, WI............          26.8         485.5       0.5       273    1,096       3.8      101
Outagamie, WI............           5.4         106.6       0.6       267      930       3.2      152
Waukesha, WI.............          13.3         239.9       0.4       282    1,142       6.5       18
Winnebago, WI............           3.8          93.2       0.8       232    1,006      -0.7      339
San Juan, PR.............          10.4         241.8      -1.0       (5)      696      10.1      (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 349 U.S. counties comprise 73.1 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
first quarter 2018

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               first quarter
         County by NAICS supersector               2018                     Percent            Percent
                                               (thousands)        March     change,     First  change,
                                                                  2018       March     quarter  first
                                                              (thousands)  2017-18(2)   2018   quarter
                                                                                              2017-18(2)


United States(3) ............................      10,008.0     144,562.9       1.6   $1,152       3.7
  Private industry...........................       9,709.0     122,643.6       1.8    1,164       3.8
    Natural resources and mining.............         137.1       1,792.7       2.3    1,280       5.7
    Construction.............................         796.3       6,896.4       4.0    1,166       3.4
    Manufacturing............................         349.7      12,529.8       1.6    1,407       4.3
    Trade, transportation, and utilities.....       1,919.3      26,979.5       1.1      942       3.4
    Information..............................         167.1       2,804.9       0.3    2,373       6.5
    Financial activities.....................         883.7       8,108.5       1.3    2,388       4.8
    Professional and business services.......       1,812.1      20,497.9       1.9    1,530       3.7
    Education and health services............       1,684.4      22,524.5       1.8      942       2.7
    Leisure and hospitality..................         849.9      15,763.7       1.6      446       3.5
    Other services...........................         846.2       4,427.1       1.0      734       3.2
  Government.................................         298.9      21,919.3       0.2    1,088       2.4

Los Angeles, CA..............................         492.3       4,424.4       1.6    1,252       2.3
  Private industry...........................         486.0       3,847.1       1.8    1,227       2.2
    Natural resources and mining.............           0.5           6.1     -19.5    1,172      20.3
    Construction.............................          14.4         140.4       3.8    1,262       6.4
    Manufacturing............................          12.2         342.6      -2.2    1,518       5.1
    Trade, transportation, and utilities.....          54.4         826.0       0.6    1,016       2.8
    Information..............................          10.3         207.9       4.9    2,572       1.1
    Financial activities.....................          26.7         219.1       0.3    2,385      -0.1
    Professional and business services.......          48.8         600.5       0.8    1,535       0.7
    Education and health services............         233.7         794.9       1.9      896       4.7
    Leisure and hospitality..................          33.6         520.7       1.7      639       2.7
    Other services...........................          26.5         148.5      -1.0      732       4.3
  Government.................................           6.2         577.3       0.0    1,421       3.4

Cook, IL.....................................         138.7       2,565.0       0.7    1,420       3.7
  Private industry...........................         137.5       2,273.1       0.8    1,441       3.9
    Natural resources and mining.............           0.1           1.2       4.7    1,048       1.3
    Construction.............................          10.7          70.5       2.9    1,517       3.0
    Manufacturing............................           5.8         183.5       0.4    1,378       2.1
    Trade, transportation, and utilities.....          27.9         464.6       0.1    1,101       3.6
    Information..............................           2.4          52.2      -0.3    2,340       6.1
    Financial activities.....................          13.9         196.9       0.4    3,882       5.6
    Professional and business services.......          29.0         472.3       0.9    1,737       3.8
    Education and health services............          15.5         450.9       1.4      992       2.7
    Leisure and hospitality..................          13.8         279.0       0.8      518       2.6
    Other services...........................          15.8         100.3       2.6      980       4.4
  Government.................................           1.2         291.9      -0.5    1,260       2.9

New York, NY.................................         128.9       2,446.5       1.0    3,087       2.9
  Private industry...........................         127.5       2,217.8       1.2    3,248       2.9
    Natural resources and mining.............           0.0           0.2      16.3    2,326      -6.7
    Construction.............................           2.3          42.4       3.6    1,967       3.1
    Manufacturing............................           2.0          24.1      -3.3    1,831       7.0
    Trade, transportation, and utilities.....          19.4         249.7      -1.4    1,525       3.0
    Information..............................           5.0         173.5       3.6    3,536       4.8
    Financial activities.....................          19.5         379.2       2.1    9,440       0.9
    Professional and business services.......          27.3         581.1       0.9    2,757       3.6
    Education and health services............          10.2         354.8       0.8    1,345       5.1
    Leisure and hospitality..................          14.8         303.8       1.2      910       4.2
    Other services...........................          20.4         104.1       1.3    1,281       2.2
  Government.................................           1.4         228.7      -0.2    1,521       2.5

Harris, TX...................................         115.4       2,287.9       1.3    1,495       3.5
  Private industry...........................         114.9       2,007.9       1.4    1,545       3.6
    Natural resources and mining.............           1.6          65.8      -1.3    4,887       4.8
    Construction.............................           7.5         159.9       2.2    1,463       2.7
    Manufacturing............................           4.8         171.1       1.8    1,926       6.2
    Trade, transportation, and utilities.....          24.8         464.9       1.7    1,393       3.2
    Information..............................           1.2          26.0      -4.4    1,643       2.1
    Financial activities.....................          12.2         127.4       1.4    2,423       3.5
    Professional and business services.......          23.2         396.6       1.5    1,900       4.7
    Education and health services............          16.1         292.6       1.1    1,019       2.1
    Leisure and hospitality..................          10.2         234.1       1.4      456       2.9
    Other services...........................          11.7          66.4       0.2      837       1.6
  Government.................................           0.6         280.0       0.5    1,129       1.5

Maricopa, AZ.................................          99.0       1,983.6       3.2    1,084       3.3
  Private industry...........................          98.3       1,771.3       3.6    1,089       3.3
    Natural resources and mining.............           0.4           8.3       2.5    1,319       9.7
    Construction.............................           7.4         117.5       9.2    1,131       5.6
    Manufacturing............................           3.2         122.2       5.3    1,632       7.2
    Trade, transportation, and utilities.....          18.6         378.6       2.5      995       3.2
    Information..............................           1.5          36.8       0.9    1,715      10.6
    Financial activities.....................          11.5         179.7       3.1    1,638       6.7
    Professional and business services.......          21.7         332.1       2.7    1,144       0.5
    Education and health services............          11.4         310.4       4.1    1,005       0.4
    Leisure and hospitality..................           8.2         226.9       3.2      496       3.8
    Other services...........................           6.5          52.3       1.2      757      -6.5
  Government.................................           0.7         212.3      -0.3    1,039       2.6

Dallas, TX...................................          77.4       1,684.9       1.6    1,426       3.4
  Private industry...........................          76.8       1,510.0       1.7    1,456       3.5
    Natural resources and mining.............           0.5           8.3      20.0    5,013       0.1
    Construction.............................           4.7          86.9       1.0    1,318       3.3
    Manufacturing............................           2.8         111.8       1.4    1,956       2.2
    Trade, transportation, and utilities.....          15.9         343.8       3.4    1,165       3.3
    Information..............................           1.4          49.7      -3.5    2,659       4.0
    Financial activities.....................           9.6         163.1       0.8    2,375       2.9
    Professional and business services.......          17.6         344.4       1.8    1,628       4.6
    Education and health services............           9.6         197.8       0.9    1,107       3.7
    Leisure and hospitality..................           6.9         159.5       1.6      509       0.4
    Other services...........................           7.0          42.4      -1.2      913      10.9
  Government.................................           0.6         174.9       0.0    1,164       2.5

Orange, CA...................................         121.6       1,617.5       2.1    1,258       3.2
  Private industry...........................         120.2       1,460.6       2.2    1,240       3.5
    Natural resources and mining.............           0.2           2.5     -15.5      850      -4.4
    Construction.............................           6.8         103.0       4.5    1,426       6.1
    Manufacturing............................           5.0         158.2      -0.9    1,682       5.9
    Trade, transportation, and utilities.....          17.1         255.3       1.0    1,086       1.7
    Information..............................           1.4          25.7      -2.2    2,381       4.8
    Financial activities.....................          11.6         117.5      -0.3    2,101       2.9
    Professional and business services.......          20.8         305.7       2.2    1,455       4.1
    Education and health services............          34.3         216.1       3.0      977       4.2
    Leisure and hospitality..................           8.7         217.8       2.1      501       5.5
    Other services...........................           6.8          45.1      -2.3      715       1.7
  Government.................................           1.4         157.0       0.9    1,428       0.6

San Diego, CA................................         111.7       1,452.7       2.1    1,218       3.9
  Private industry...........................         109.8       1,217.5       2.5    1,196       3.9
    Natural resources and mining.............           0.6           9.5       5.8      755       7.5
    Construction.............................           6.9          82.2       5.9    1,257       5.1
    Manufacturing............................           3.3         109.4       1.5    1,865       4.6
    Trade, transportation, and utilities.....          14.4         219.7       0.5      947       3.4
    Information..............................           1.2          23.3      -1.5    1,888       0.7
    Financial activities.....................          10.2          74.4       0.9    1,745       1.0
    Professional and business services.......          18.4         243.8       3.4    1,733       5.4
    Education and health services............          32.2         200.9       1.8      984       3.1
    Leisure and hospitality..................           8.3         193.0       1.0      505       3.5
    Other services...........................           7.3          50.2      -0.7      638       2.7
  Government.................................           1.9         235.2      -0.2    1,330       4.1

King, WA.....................................          86.3       1,375.1       3.0    1,761      10.1
  Private industry...........................          85.8       1,204.3       3.4    1,814      10.9
    Natural resources and mining.............           0.4           2.7      -5.2    1,183       1.4
    Construction.............................           6.7          71.5       4.6    1,426       4.2
    Manufacturing............................           2.5         101.3      -0.3    2,113      11.8
    Trade, transportation, and utilities.....          14.0         267.1       4.3    1,709      11.8
    Information..............................           2.3         105.9       5.4    4,461      13.5
    Financial activities.....................           6.7          69.6       4.4    2,237       6.3
    Professional and business services.......          18.0         226.9       2.6    2,105      16.9
    Education and health services............          18.6         176.6       3.9    1,043      -1.1
    Leisure and hospitality..................           7.3         138.3       2.9      566       3.5
    Other services...........................           9.2          44.5       1.5      912       4.9
  Government.................................           0.5         170.9       0.3    1,385       2.9

Miami-Dade, FL...............................          99.8       1,147.0       1.4    1,101       4.5
  Private industry...........................          99.5       1,007.6       1.6    1,080       4.7
    Natural resources and mining.............           0.5          10.0       0.2      615       5.1
    Construction.............................           6.8          49.2       1.4    1,066       7.5
    Manufacturing............................           2.9          40.4       0.9      930       3.2
    Trade, transportation, and utilities.....          25.3         283.8       1.0    1,011       4.6
    Information..............................           1.6          18.8       0.2    2,003       0.9
    Financial activities.....................          10.8          76.2       0.5    2,087       3.5
    Professional and business services.......          22.4         161.1       2.5    1,300       6.5
    Education and health services............          10.8         182.7       2.8      972       1.7
    Leisure and hospitality..................           7.5         144.4       1.2      652      10.9
    Other services...........................           8.5          39.5      -0.2      656       4.8
  Government.................................           0.3         139.4      -0.2    1,248       3.0

(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 2017 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,
first quarter 2018

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             first quarter
            State                2018                     Percent           Percent
                             (thousands)        March     change,   First   change,
                                                2018       March   quarter   first
                                             (thousands)  2017-18    2018   quarter
                                                                            2017-18


United States(2)...........      10,008.0     144,562.9       1.6   $1,152      3.7

Alabama....................         126.2       1,948.9       1.1      919      2.9
Alaska.....................          22.0         311.2      -0.5    1,074      2.3
Arizona....................         162.2       2,822.5       2.8    1,025      3.5
Arkansas...................          90.7       1,211.4       0.9      879      2.4
California.................       1,548.3      17,152.5       2.1    1,352      4.4
Colorado...................         202.6       2,639.5       2.5    1,175      3.4
Connecticut................         120.1       1,651.9       0.1    1,447      2.4
Delaware...................          32.2         438.7       1.2    1,202      1.3
District of Columbia.......          41.3         770.2       1.2    1,917      1.9
Florida....................         693.2       8,716.8       2.2      988      4.1

Georgia....................         281.4       4,409.1       2.3    1,095      2.3
Hawaii.....................          42.5         658.4       0.3      974      2.3
Idaho......................          61.2         712.6       3.5      809      4.3
Illinois...................         373.7       5,909.3       1.0    1,241      3.9
Indiana....................         166.9       3,018.8       1.2      954      3.9
Iowa.......................         102.6       1,525.8       0.5      921      2.4
Kansas.....................          88.3       1,370.6       0.2      912      2.7
Kentucky...................         123.4       1,873.7       0.5      901      2.5
Louisiana..................         132.3       1,914.7       0.5      932      3.0
Maine......................          53.8         592.1       0.9      891      3.6

Maryland...................         171.4       2,646.9       0.9    1,209      3.2
Massachusetts..............         257.1       3,509.9       1.1    1,510      5.6
Michigan...................         245.5       4,289.0       1.4    1,078      3.4
Minnesota..................         174.2       2,823.6       0.7    1,175      2.1
Mississippi................          73.8       1,125.9       0.1      765      2.1
Missouri...................         207.4       2,777.6       0.5      960      3.1
Montana....................          48.6         455.5       1.0      819      2.4
Nebraska...................          72.2         966.0       0.4      898      3.6
Nevada.....................          81.8       1,351.6       3.0      977      4.8
New Hampshire..............          52.1         648.2       0.8    1,122      4.9

New Jersey.................         273.7       3,997.6       1.3    1,373      3.0
New Mexico.................          59.3         813.3       1.0      862      2.9
New York...................         649.1       9,318.9       1.8    1,597      3.4
North Carolina.............         279.2       4,370.6       1.8    1,022      3.0
North Dakota...............          31.6         408.2       0.6      988      3.7
Ohio.......................         297.5       5,328.5       0.9    1,005      2.9
Oklahoma...................         111.3       1,600.9       1.8      914      3.5
Oregon.....................         154.9       1,894.3       2.0    1,026      4.3
Pennsylvania...............         358.1       5,787.2       1.4    1,115      3.4
Rhode Island...............          37.6         469.9       1.1    1,086      3.2

South Carolina.............         133.6       2,067.4       2.2      877      1.7
South Dakota...............          33.5         417.5       1.0      842      2.8
Tennessee..................         161.0       2,950.0       1.6      978      3.5
Texas......................         686.3      12,179.2       2.0    1,168      3.9
Utah.......................         100.7       1,458.8       3.3      949      4.9
Vermont....................          25.7         307.1       0.4      917      3.1
Virginia...................         276.4       3,854.4       1.5    1,162      3.0
Washington.................         239.1       3,316.1       2.8    1,306      7.7
West Virginia..............          50.8         684.8       0.6      868      3.6
Wisconsin..................         173.2       2,831.7       1.0      968      3.8

Wyoming....................          26.2         263.7       0.3      914      3.9

Puerto Rico................          44.3         856.7      -3.8      563      7.0
Virgin Islands.............           3.3          33.3     -15.5      969     24.4

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

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






Last Modified Date: August 22, 2018