County Employment and Wages News Release

For release 10:00 a.m. (EST), Tuesday, December 5, 2017	USDL-17-1613

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

COUNTY EMPLOYMENT AND WAGES
Second Quarter 2017

From June 2016 to June 2017, employment increased in 318 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 7.3 percent over the year, above the national job growth rate of 1.7 percent. Within Midland, the 
largest employment increase occurred in natural resources and mining, which gained 3,497 jobs over the 
year (19.6 percent). Lucas, Ohio, had the largest over-the-year percentage decrease in employment 
among the largest counties in the U.S., with a loss of 1.9 percent. Within Lucas, construction had the 
largest decrease in employment, with a loss of 1,534 jobs (-14.2 percent). 

The U.S. average weekly wage increased 3.2 percent over the year, growing to $1,020 in the second 
quarter of 2017. New Hanover, N.C., had the largest over-the-year percentage increase in average 
weekly wages with a gain of 11.9 percent. Within New Hanover, an average weekly wage gain of $589 
(62.7 percent) in professional and business services made the largest contribution to the county’s 
increase in average weekly wages. McLean, Ill., had the largest over-the-year percentage decrease in 
average weekly wages with a loss of 20.4 percent. Within McLean, financial activities had the largest 
impact on the county’s average weekly wage change with a decrease of $953 (-38.9 percent) over the 
year.

County employment and wage data are from the Quarterly Census of Employment and Wages (QCEW) 
program, which provides the only detailed quarterly and annual universe count of establishments, 
employment, and wages at the county, metropolitan statistical area, state, and national levels by detailed 
industry. These data are published within 6 months following the end of each quarter.

Large County Employment

In June 2017, national employment was 145.2 million (as measured by the QCEW program). Over the 
year, employment increased 1.7 percent, or 2.4 million. In June 2017, the 346 U.S. counties with 75,000 
or more jobs accounted for 72.7 percent of total U.S. employment and 77.7 percent of total wages. These 
346 counties had a net job growth of 1.8 million over the year, accounting for 76.8 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 258,900 jobs, which was 10.8 percent of the overall job 
increase for the U.S. (See table A.) 

Employment declined in 23 of the largest counties from June 2016 to June 2017. Lucas, Ohio, had the 
largest over-the-year percentage decrease in employment (-1.9 percent), followed by Caddo, La.; 
Kanawha, W.Va.; Shawnee, Kan.; and Anchorage, Alaska. (See table 1.)

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

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2017 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |            June 2016-17          |            June 2016-17
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           145,186.4| United States             2,407.0| United States                 1.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,373.6| Los Angeles, Calif.          71.9| Midland, Texas                7.3
 Cook, Ill.                2,598.4| Maricopa, Ariz.              61.2| Weld, Colo.                   5.3
 New York, N.Y.            2,469.1| King, Wash.                  44.2| Utah, Utah                    5.2
 Harris, Texas             2,284.5| New York, N.Y.               41.1| York, S.C.                    4.8
 Maricopa, Ariz.           1,891.7| Dallas, Texas                40.5| Elkhart, Ind.                 4.7
 Dallas, Texas             1,686.9| Orange, Calif.               33.2| Davis, Utah                   4.5
 Orange, Calif.            1,598.1| San Diego, Calif.            28.9| Clark, Wash.                  4.4
 San Diego, Calif.         1,440.9| Fulton, Ga.                  27.9| Deschutes, Ore.               4.3
 King, Wash.               1,369.7| Clark, Nev.                  26.9| Boone, Ky.                    4.2
 Miami-Dade, Fla.          1,111.0| Orange, Fla.                 26.5| Williamson, Tenn.             4.1
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,020, a 3.2 percent increase, during the year ending 
in the second quarter of 2017. Among the 346 largest counties, 325 had over-the-year increases in 
average weekly wages. New Hanover, N.C., had the largest percentage wage increase among the largest 
U.S. counties (11.9 percent). (See table B.)

Of the 346 largest counties, 19 experienced an over-the-year decrease in average weekly wages. 
McLean, Ill., had the largest percentage decrease in average weekly wages (-20.4 percent), followed by 
Union, N.J.; Warren, Ohio; Somerset, N.J.; Fairfield, Conn.; and Washington, Ore. (See table 1.)

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

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average   
        second quarter 2017       |    wage, second quarter 2016-17  |        weekly wage, second	
                                  |                                  |          quarter 2016-17
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,020| United States                 $32| United States                 3.2
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,392| San Mateo, Calif.            $214| New Hanover, N.C.            11.9
 San Mateo, Calif.           2,093| Santa Clara, Calif.           141| San Mateo, Calif.            11.4
 San Francisco, Calif.       1,941| Midland, Texas                135| Midland, Texas               11.4
 New York, N.Y.              1,907| San Francisco, Calif.         132| Kitsap, Wash.                11.0
 Washington, D.C.            1,675| Morris, N.J.                  102| Clackamas, Ore.              10.0
 Suffolk, Mass.              1,651| Kitsap, Wash.                  97| Bell, Texas                   9.6
 Arlington, Va.              1,609| New Hanover, N.C.              94| St. Louis, Minn.              9.5
 Fairfax, Va.                1,542| Clackamas, Ore.                93| Newport News City, Va.        7.4
 Morris, N.J.                1,525| King, Wash.                    83| San Francisco, Calif.         7.3
 Middlesex, Mass.            1,522| Bell, Texas                    77| Washington, Ark.              7.2
                                  |                                  | Morris, N.J.                  7.2
--------------------------------------------------------------------------------------------------------

Ten Largest U.S. Counties

All of the largest counties had over-the-year percentage increases in employment in June 2017. King, 
Wash., and Maricopa, Ariz., had the largest gain (3.3 percent). Within King, trade, transportation, and 
utilities had the largest over-the-year employment level increase, with a gain of 16,004 jobs, or 6.4 
percent. Within Maricopa, education and health services had the largest over-the-year employment level 
increase, with a gain of 11,768 jobs, or 4.2 percent. Cook, Ill., had the lowest percentage increase in 
employment among the 10 largest counties (0.3 percent). Within Cook, leisure and hospitality had the 
largest over-the-year employment level increase, with a gain of 7,020 jobs, or 2.4 percent. (See table 2.)

Average weekly wages increased over the year in 9 of the 10 largest U.S. counties. King, Wash., 
experienced the largest percentage gain in average weekly wages (6.0 percent). Within King, trade, 
transportation, and utilities had the largest impact on the county’s average weekly wage growth. Within 
trade, transportation, and utilities, average weekly wages increased by $183, or 12.8 percent, over the 
year. Harris, Texas, had the only percent loss in average weekly wages among the 10 largest counties 
(-0.4 percent). Within Harris, natural resources and mining had the largest impact on the county’s average 
weekly wage growth with a decrease of $290 (-9.0 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. June 2017 employment and 2017 second quarter 
average weekly wages for all states are provided in table 3 of this release.

The data are derived from reports submitted by employers who are subject to unemployment insurance 
(UI) laws. The 9.9 million employer reports cover 145.2 million full- and part-time workers. Data for the 
second quarter of 2017 will be available later at www.bls.gov/cew. Additional information about the 
quarterly employment and wages data is available in the Technical Note. More information about 
QCEW data may be obtained by calling (202) 691-6567.

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

Several BLS regional offices issue QCEW news releases targeted to local data users. Links to these 
releases are available at www.bls.gov/cew/cewregional.htm.
_____________
The County Employment and Wages release for third quarter 2017 is scheduled to be released on 
Thursday, March 8, 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. Each of these measures--QCEW, Business Employment Dynamics (BED), and Current 
Employment Statistics (CES)--makes use of the quarterly UI employment reports in producing 
data; however, each measure has a somewhat different universe coverage, estimation procedure, 
and publication product.

Differences in coverage and estimation methods can result in somewhat different measures of 
employment change over time. It is important to understand program differences and the intended 
uses of the program products. (See table.) Additional information on each program can be obtained 
from the program Web sites shown in the table.

Summary of Major Differences between QCEW, BED, and CES Employment Measures

----------------------------------------------------------------------------------
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  634,000 establish-
            |  submitted by 9.9   |  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 6 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/sae/
 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-
-some reflecting economic events, others reflecting administrative changes. For example, 
economic change would come from a firm relocating into the county; administrative change would 
come from a company correcting its county designation.

The over-the-year changes of employment and wages presented in this release have been adjusted 
to account for most of the administrative corrections made to the underlying establishment reports. 
This is done by modifying the prior-year levels used to calculate the over-the-year changes. 
Percent changes are calculated using an adjusted version of the final 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 
account for most of the administrative changes--those occurring when employers update the 
industry, location, and ownership information of their establishments. The most common 
adjustments for administrative change are the result of updated information about the county 
location of individual establishments. Included in these adjustments are administrative changes 
involving the classification of establishments that were previously reported in the unknown or 
statewide county or unknown industry categories. Adjusted data account for improvements in 
reporting employment and wages for individual and multi-unit establishments. To accomplish this, 
adjustments were implemented to account for: administrative changes caused by multi-unit 
employers who start reporting for each individual establishment rather than as a single entity (first 
quarter of 2008); selected large administrative changes in employment and wages (second quarter 
of 2011); and state verified improvements in reporting of employment and wages (third quarter of 
2014). These adjustments allow QCEW to include county employment and wage growth rates in 
this news release that would otherwise not meet publication standards.

The adjusted data used to calculate the over-the-year change measures presented in any County 
Employment and Wages news release are valid for comparisons between the starting and ending 
points (a 12-month period) used in that particular release. Comparisons may not be valid for any 
time period other than the one featured in a release even if the changes were calculated using 
adjusted data.

County definitions are assigned according to Federal Information Processing Standards 
Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after 
approval by the Secretary of Commerce pursuant to Section 5131 of the Information Technology 
Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. 
Areas shown as counties include those designated as independent cities in some jurisdictions and, 
in Alaska, those designated as census areas where counties have not been created. County data also 
are presented for the New England states for comparative purposes even though townships are the 
more common designation used in New England (and New Jersey). The regions referred to in this 
release are defined as census regions.

Additional statistics and other information

Employment and Wages Annual Averages Online features comprehensive information by detailed 
industry on establishments, employment, and wages for the nation and all states. The 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,
second quarter 2017

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2017          June      change,      by    Second    change,      by
                            (thousands)       2017       June     percent  quarter   second    percent
                                          (thousands) 2016-17(3)   change    2017    quarter    change
                                                                                   2016-17(3)

United States(4).........       9,922.4     145,186.4       1.7        -    $1,020       3.2       -

Jefferson, AL............          18.5         345.1       1.2       212    1,008       4.3       71
Madison, AL..............           9.6         197.0       2.7        70    1,072       2.3      220
Mobile, AL...............          10.1         170.3      -0.1       324      857       1.4      273
Montgomery, AL...........           6.4         133.2       1.1       222      840       0.2      322
Shelby, AL...............           5.8          85.2       0.6       274      948       2.6      196
Tuscaloosa, AL...........           4.6          91.7       0.7       264      850       4.8       48
Anchorage, AK............           8.3         151.4      -1.1       342    1,064       1.0      300
Maricopa, AZ.............          96.5       1,891.7       3.3        29      986       1.6      261
Pima, AZ.................          18.8         359.5       1.8       146      861       4.2       75
Benton, AR...............           6.4         118.0       2.1       117    1,022       2.6      196

Pulaski, AR..............          14.4         250.1       0.7       264      909       1.5      266
Washington, AR...........           6.0         106.3       1.9       134      867       7.2       10
Alameda, CA..............          62.9         778.9       2.9        55    1,376       5.8       23
Butte, CA................           8.5          82.8       2.2       109      771       3.4      134
Contra Costa, CA.........          32.0         370.7       1.5       183    1,240       3.9       92
Fresno, CA...............          35.1         392.9       2.2       109      805       3.9       92
Kern, CA.................          18.8         325.6       3.1        37      840       2.2      226
Los Angeles, CA..........         483.9       4,373.6       1.7       157    1,130       3.8      102
Marin, CA................          12.5         118.0       2.2       109    1,278       1.4      273
Merced, CA...............           6.6          80.0       1.9       134      790       3.8      102

Monterey, CA.............          13.7         205.9       0.3       304      878       4.6       57
Napa, CA.................           5.9          79.3       2.4        89    1,014       4.8       48
Orange, CA...............         119.3       1,598.1       2.1       117    1,130       2.5      207
Placer, CA...............          12.9         162.4       3.0        47    1,015       1.9      242
Riverside, CA............          63.0         713.6       3.2        33      826       2.0      236
Sacramento, CA...........          57.4         652.4       2.6        80    1,107       3.9       92
San Bernardino, CA.......          58.1         727.0       3.3        29      863       2.6      196
San Diego, CA............         109.8       1,440.9       2.0       125    1,101       2.8      183
San Francisco, CA........          60.4         717.4       3.1        37    1,941       7.3        9
San Joaquin, CA..........          17.6         248.9       3.4        24      863       4.5       60

San Luis Obispo, CA......          10.4         120.6       3.5        21      870       3.7      114
San Mateo, CA............          28.1         402.5       2.8        62    2,093      11.4        2
Santa Barbara, CA........          15.5         201.7       1.8       146      988       4.4       66
Santa Clara, CA..........          72.2       1,077.3       2.5        85    2,392       6.3       14
Santa Cruz, CA...........           9.6         110.3       1.8       146      950       5.7       25
Solano, CA...............          11.4         139.9       2.0       125    1,056       5.0       41
Sonoma, CA...............          20.0         208.4       2.5        85      973       4.6       57
Stanislaus, CA...........          15.4         189.3       2.5        85      860       5.0       41
Tulare, CA...............          10.3         169.4       3.1        37      711       0.7      309
Ventura, CA..............          26.9         326.4       1.3       200    1,015       2.9      175

Yolo, CA.................           6.7         103.5       2.2       109    1,098       3.7      114
Adams, CO................          10.9         206.7       3.0        47      975       2.1      231
Arapahoe, CO.............          22.0         331.5       2.3        99    1,166       4.4       66
Boulder, CO..............          15.2         181.2       2.3        99    1,192       4.4       66
Denver, CO...............          32.1         510.0       3.1        37    1,214       3.4      134
Douglas, CO..............          12.0         123.6       2.8        62    1,135       4.1       82
El Paso, CO..............          19.6         274.0       3.0        47      899       2.6      196
Jefferson, CO............          20.2         235.7       0.4       294    1,047       4.1       82
Larimer, CO..............          12.0         160.5       2.8        62      899       3.2      148
Weld, CO.................           7.3         106.1       5.3         2      894       5.1       38

Fairfield, CT............          35.3         429.3      -0.5       334    1,503      -1.9      341
Hartford, CT.............          27.9         514.9       0.8       252    1,214       1.6      261
New Haven, CT............          24.0         369.2       1.2       212    1,067       2.3      220
New London, CT...........           7.5         126.7       1.9       134    1,003      -0.2      331
New Castle, DE...........          19.6         286.6      -0.3       327    1,135       3.3      140
Sussex, DE...............           6.7          84.6       3.4        24      732       2.2      226
Washington, DC...........          39.0         766.5       1.0       235    1,675       3.3      140
Alachua, FL..............           7.2         127.3       2.8        62      845      -1.4      338
Bay, FL..................           5.7          78.9       1.0       235      760       3.8      102
Brevard, FL..............          15.8         206.5       2.9        55      932       6.5       13

Broward, FL..............          69.7         793.0       2.4        89      958       3.1      156
Collier, FL..............          13.9         135.4       2.3        99      874       0.9      303
Duval, FL................          29.9         500.3       3.2        33      959       3.2      148
Escambia, FL.............           8.3         133.7       3.8        13      783       0.1      324
Hillsborough, FL.........          42.4         663.6       2.0       125      964       1.2      291
Lake, FL.................           8.2          92.2       3.3        29      702       3.2      148
Lee, FL..................          22.1         248.2       3.1        37      830       2.9      175
Leon, FL.................           8.8         146.2       0.7       264      819       0.4      315
Manatee, FL..............          10.9         116.7       3.0        47      792       1.7      253
Marion, FL...............           8.3         100.6       2.7        70      716       0.0      326

Miami-Dade, FL...........          98.8       1,111.0       1.8       146      971       1.8      247
Okaloosa, FL.............           6.4          82.7       0.9       247      868       5.7       25
Orange, FL...............          42.4         811.8       3.4        24      900       3.9       92
Osceola, FL..............           7.0          89.1       3.0        47      716       3.6      124
Palm Beach, FL...........          56.4         593.4       2.4        89    1,002       3.7      114
Pasco, FL................          11.0         109.5       3.2        33      749       2.3      220
Pinellas, FL.............          33.1         425.8       2.6        80      888       1.4      273
Polk, FL.................          13.3         209.9       2.3        99      773       0.8      307
Sarasota, FL.............          15.9         163.3       2.4        89      839       2.9      175
Seminole, FL.............          15.1         187.0       2.7        70      891       4.2       75

Volusia, FL..............          14.4         167.2       2.6        80      751       2.7      189
Bibb, GA.................           4.2          83.0       0.2       311      775      -0.1      328
Chatham, GA..............           8.2         152.7       1.5       183      857       3.5      125
Clayton, GA..............           4.0         122.4       0.5       287      966       3.4      134
Cobb, GA.................          22.1         358.4       2.7        70    1,070       3.5      125
DeKalb, GA...............          18.0         298.6       1.0       235    1,030       1.4      273
Fulton, GA...............          43.5         854.1       3.4        24    1,329       3.4      134
Gwinnett, GA.............          25.0         352.5       1.7       157      969       0.4      315
Hall, GA.................           4.4          85.7       4.0        11      866       6.1       15
Muscogee, GA.............           4.6          93.1       0.8       252      782       1.4      273

Richmond, GA.............           4.4         104.2       0.6       274      843       2.6      196
Honolulu, HI.............          26.3         472.5       0.6       274      976       3.8      102
Maui + Kalawao, HI.......           6.2          77.3       1.6       170      840       2.8      183
Ada, ID..................          15.4         235.8       4.0        11      884       3.3      140
Champaign, IL............           4.4          89.6      -0.3       327      886       2.5      207
Cook, IL.................         155.4       2,598.4       0.3       304    1,179       3.1      156
DuPage, IL...............          38.6         631.9       1.1       222    1,149       3.0      168
Kane, IL.................          13.9         216.3       2.1       117      898       2.3      220
Lake, IL.................          22.6         349.0       2.7        70    1,300       2.1      231
McHenry, IL..............           8.8         100.4       0.7       264      827       1.2      291

McLean, IL...............           3.7          83.5      -0.2       325      920     -20.4      346
Madison, IL..............           6.0          98.1       1.3       200      791       2.2      226
Peoria, IL...............           4.6         100.3       0.3       304      907       0.8      307
St. Clair, IL............           5.5          93.3       0.5       287      812       5.2       37
Sangamon, IL.............           5.2         129.5       0.4       294      988       0.5      312
Will, IL.................          16.4         242.3       2.3        99      886       1.3      282
Winnebago, IL............           6.6         127.8       0.0       319      844       1.2      291
Allen, IN................           8.8         186.6       1.5       183      829       3.2      148
Elkhart, IN..............           4.7         135.0       4.7         5      915       3.5      125
Hamilton, IN.............           9.4         142.0       2.4        89      955       2.8      183

Lake, IN.................          10.4         188.5       0.2       311      854       1.8      247
Marion, IN...............          24.1         597.4       1.2       212    1,027       4.7       52
St. Joseph, IN...........           5.8         123.7       0.0       319      828       3.0      168
Tippecanoe, IN...........           3.4          82.4      -0.5       334      878       5.0       41
Vanderburgh, IN..........           4.8         107.9       0.6       274      827       4.9       45
Johnson, IA..............           4.2          84.1       1.7       157      944       3.1      156
Linn, IA.................           6.8         132.3       0.5       287      971       2.6      196
Polk, IA.................          17.3         303.5       1.9       134    1,018       4.3       71
Scott, IA................           5.6          93.0       1.6       170      812       2.4      215
Johnson, KS..............          23.7         342.0       1.0       235    1,031       1.2      291

Sedgwick, KS.............          12.7         247.2      -0.5       334      860       0.4      315
Shawnee, KS..............           5.2          96.5      -1.2       343      842       4.9       45
Wyandotte, KS............           3.5          91.0       0.7       264      987       5.9       18
Boone, KY................           4.3          87.7       4.2         9      888      -1.8      340
Fayette, KY..............          10.8         193.7       0.8       252      918       4.2       75
Jefferson, KY............          24.9         468.0       1.2       212    1,014       4.3       71
Caddo, LA................           7.3         112.5      -1.7       345      804       1.5      266
Calcasieu, LA............           5.3          98.3       2.6        80      871       2.8      183
East Baton Rouge, LA.....          15.7         261.4       0.5       287      959       1.9      242
Jefferson, LA............          14.0         192.7      -0.8       339      905       4.5       60

Lafayette, LA............           9.6         128.7      -0.4       331      860       0.1      324
Orleans, LA..............          12.6         191.9       0.4       294      928       0.5      312
St. Tammany, LA..........           8.3          88.4      -0.3       327      850       2.9      175
Cumberland, ME...........          14.0         186.7       1.9       134      909       0.9      303
Anne Arundel, MD.........          15.2         274.4       1.6       170    1,089       4.1       82
Baltimore, MD............          21.4         379.4       0.0       319    1,005       3.1      156
Frederick, MD............           6.4         102.0       1.5       183      931       1.5      266
Harford, MD..............           5.8          94.6       1.9       134      952       1.1      298
Howard, MD...............          10.1         172.4       0.2       311    1,220       2.1      231
Montgomery, MD...........          33.0         477.9       1.3       200    1,333       1.4      273

Prince George's, MD......          16.0         322.4       3.5        21    1,064       3.7      114
Baltimore City, MD.......          13.7         341.5       1.5       183    1,183       4.1       82
Barnstable, MA...........           9.5         108.6       2.0       125      869       4.2       75
Bristol, MA..............          17.5         230.5       1.3       200      950       1.3      282
Essex, MA................          25.4         330.4       0.0       319    1,093       3.7      114
Hampden, MA..............          18.1         209.8       0.6       274      900       1.7      253
Middlesex, MA............          55.0         912.0       2.1       117    1,522       3.3      140
Norfolk, MA..............          25.4         357.7       0.8       252    1,182       3.7      114
Plymouth, MA.............          15.9         198.2       1.9       134    1,000       4.8       48
Suffolk, MA..............          29.5         677.3       2.3        99    1,651       4.4       66

Worcester, MA............          25.2         350.0       1.1       222    1,012       2.0      236
Genesee, MI..............           6.8         136.3       0.7       264      832       0.6      310
Ingham, MI...............           6.0         151.7       1.6       170      969       2.1      231
Kalamazoo, MI............           5.0         119.1       1.3       200      938       2.7      189
Kent, MI.................          14.4         398.2       2.0       125      884       3.9       92
Macomb, MI...............          17.6         334.7       1.2       212    1,007       3.2      148
Oakland, MI..............          39.2         741.5       2.1       117    1,131       3.1      156
Ottawa, MI...............           5.6         126.5       0.9       247      858       2.3      220
Saginaw, MI..............           3.9          84.5      -0.3       327      818       3.7      114
Washtenaw, MI............           8.2         207.1       2.0       125    1,094       2.0      236

Wayne, MI................          30.8         725.2       1.2       212    1,111       2.5      207
Anoka, MN................           7.1         124.4       2.4        89      980       1.9      242
Dakota, MN...............           9.9         190.3       2.1       117      998       3.1      156
Hennepin, MN.............          39.0         919.1       1.8       146    1,273       4.8       48
Olmsted, MN..............           3.4          99.1       2.1       117    1,073       3.8      102
Ramsey, MN...............          13.3         334.8       2.2       109    1,131       1.6      261
St. Louis, MN............           5.3          99.8       1.1       222      855       9.5        7
Stearns, MN..............           4.4          88.1       1.9       134      831      -0.1      328
Washington, MN...........           5.5          86.5       3.0        47      882       5.9       18
Harrison, MS.............           4.6          86.9       1.8       146      718       3.0      168

Hinds, MS................           5.8         120.7      -0.8       339      849       1.0      300
Boone, MO................           5.1          93.5       1.2       212      822       3.8      102
Clay, MO.................           5.7         106.9       2.8        62      904       2.8      183
Greene, MO...............           9.0         166.2       1.9       134      789       2.7      189
Jackson, MO..............          22.1         371.6       1.8       146    1,021       3.5      125
St. Charles, MO..........           9.5         149.4       1.6       170      823      -0.4      333
St. Louis, MO............          39.0         610.4       0.8       252    1,059       1.7      253
St. Louis City, MO.......          14.6         227.7       0.9       247    1,077       4.7       52
Yellowstone, MT..........           6.7          82.7       0.3       304      875       2.9      175
Douglas, NE..............          19.1         341.3       1.1       222      938       2.9      175

Lancaster, NE............          10.3         168.8       0.3       304      820       3.8      102
Clark, NV................          55.0         967.0       2.9        55      886       2.2      226
Washoe, NV...............          14.6         217.7       3.6        16      906       3.5      125
Hillsborough, NH.........          12.2         204.1       1.5       183    1,080       3.1      156
Merrimack, NH............           5.2          77.8       1.1       222      944       4.1       82
Rockingham, NH...........          10.9         153.0       2.3        99    1,009       1.0      300
Atlantic, NJ.............           6.6         132.1       0.3       304      855       2.0      236
Bergen, NJ...............          33.2         453.0       0.8       252    1,179       1.3      282
Burlington, NJ...........          11.0         210.1       2.7        70    1,036       1.2      291
Camden, NJ...............          12.1         207.8       1.5       183      987       4.0       89

Essex, NJ................          20.6         346.7       1.7       157    1,231       4.5       60
Gloucester, NJ...........           6.4         109.1       1.6       170      872       0.9      303
Hudson, NJ...............          15.2         263.9       3.8        13    1,350       3.7      114
Mercer, NJ...............          11.2         251.9       1.4       194    1,279       3.5      125
Middlesex, NJ............          22.4         426.1       2.2       109    1,181       1.8      247
Monmouth, NJ.............          20.2         271.7       1.6       170      988       0.5      312
Morris, NJ...............          17.2         295.0       1.1       222    1,525       7.2       10
Ocean, NJ................          13.3         176.8       2.4        89      806       1.4      273
Passaic, NJ..............          12.7         169.9       0.4       294      992       3.1      156
Somerset, NJ.............          10.3         192.2       1.1       222    1,464      -3.4      343

Union, NJ................          14.4         223.5       1.6       170    1,237      -3.7      345
Bernalillo, NM...........          18.4         327.1       1.1       222      865       1.3      282
Albany, NY...............          10.4         235.0       0.1       316    1,084       0.6      310
Bronx, NY................          18.8         303.2       0.9       247      978       3.7      114
Broome, NY...............           4.5          87.6       0.4       294      817       2.1      231
Dutchess, NY.............           8.5         113.5       0.4       294    1,023       3.0      168
Erie, NY.................          24.9         474.9       0.6       274      904       2.7      189
Kings, NY................          62.8         714.0       3.7        15      850       3.2      148
Monroe, NY...............          19.0         390.9       0.6       274      968       3.9       92
Nassau, NY...............          54.4         643.6       1.7       157    1,150      -1.5      339

New York, NY.............         129.2       2,469.1       1.7       157    1,907       2.4      215
Oneida, NY...............           5.4         106.9       0.8       252      810       3.1      156
Onondaga, NY.............          13.0         247.7       0.4       294      936       1.8      247
Orange, NY...............          10.5         145.5       1.4       194      905       2.7      189
Queens, NY...............          53.2         666.3       2.9        55      965       2.4      215
Richmond, NY.............           9.8         116.7       1.7       157      911       2.4      215
Rockland, NY.............          10.9         126.5       2.4        89      989      -0.7      336
Saratoga, NY.............           6.0          89.2       2.4        89      949       1.3      282
Suffolk, NY..............          53.3         682.8       1.0       235    1,086       0.4      315
Westchester, NY..........          36.6         437.6       1.3       200    1,327       2.6      196

Buncombe, NC.............           9.2         129.3       1.7       157      783       3.2      148
Catawba, NC..............           4.4          87.9       1.8       146      793       4.1       82
Cumberland, NC...........           6.2         119.2      -0.6       337      795       5.7       25
Durham, NC...............           8.3         199.1       0.6       274    1,231       3.0      168
Forsyth, NC..............           9.2         183.1       0.0       319      906       4.5       60
Guilford, NC.............          14.2         279.1       1.4       194      890       3.9       92
Mecklenburg, NC..........          37.3         683.2       3.1        37    1,152       4.0       89
New Hanover, NC..........           8.0         112.4       2.8        62      884      11.9        1
Wake, NC.................          34.0         549.7       3.1        37    1,040       4.7       52
Cass, ND.................           7.2         119.1       1.0       235      917       3.9       92

Butler, OH...............           7.8         153.8       2.9        55      901       3.0      168
Cuyahoga, OH.............          35.8         728.8       0.5       287    1,029       3.5      125
Delaware, OH.............           5.3          90.4       2.6        80      971       1.3      282
Franklin, OH.............          31.9         753.3       2.7        70    1,007       1.9      242
Hamilton, OH.............          23.8         520.9       1.2       212    1,072       2.7      189
Lake, OH.................           6.3          96.9       0.3       304      838       5.4       33
Lorain, OH...............           6.2         100.0       1.3       200      792       2.9      175
Lucas, OH................          10.2         209.5      -1.9       346      856      -0.6      335
Mahoning, OH.............           5.9          97.2       1.1       222      720       4.3       71
Montgomery, OH...........          11.8         254.9       1.6       170      871       2.6      196

Stark, OH................           8.5         160.7       0.7       264      762       4.7       52
Summit, OH...............          14.3         269.1       0.6       274      886       1.8      247
Warren, OH...............           4.9          94.2       1.1       222      898      -3.6      344
Cleveland, OK............           5.8          79.7       0.2       311      749       0.9      303
Oklahoma, OK.............          28.0         450.0       0.4       294      943       2.5      207
Tulsa, OK................          22.4         353.0       1.1       222      914       2.5      207
Clackamas, OR............          14.8         165.0       2.7        70    1,027      10.0        5
Deschutes, OR............           8.3          81.9       4.3         8      844       5.9       18
Jackson, OR..............           7.3          88.1       3.0        47      791       5.6       29
Lane, OR.................          12.0         156.3       2.4        89      816       4.1       82

Marion, OR...............          10.6         155.6       1.5       183      854       4.0       89
Multnomah, OR............          34.5         505.1       2.0       125    1,071       5.7       25
Washington, OR...........          19.1         293.7       2.8        62    1,264      -1.9      341
Allegheny, PA............          35.8         703.6       0.6       274    1,082       3.8      102
Berks, PA................           9.0         172.2       0.8       252      929       3.3      140
Bucks, PA................          20.0         269.2       1.8       146      949       1.5      266
Butler, PA...............           5.1          86.2       0.2       311      949       4.5       60
Chester, PA..............          15.5         252.6       1.5       183    1,322       5.1       38
Cumberland, PA...........           6.5         133.6       0.7       264      931       3.9       92
Dauphin, PA..............           7.6         185.4       0.6       274      997       4.9       45

Delaware, PA.............          14.3         223.9       1.0       235    1,063      -0.7      336
Erie, PA.................           7.1         123.4      -0.4       331      771       0.0      326
Lackawanna, PA...........           5.7          97.7       0.6       274      777       2.5      207
Lancaster, PA............          13.5         239.7       1.2       212      840       2.2      226
Lehigh, PA...............           8.9         191.5       1.4       194      977      -0.3      332
Luzerne, PA..............           7.5         146.3       0.7       264      797       3.5      125
Montgomery, PA...........          27.8         498.8       1.7       157    1,205       0.2      322
Northampton, PA..........           6.8         114.7       1.7       157      878       3.8      102
Philadelphia, PA.........          35.5         671.5       1.9       134    1,170       1.7      253
Washington, PA...........           5.5          89.3       3.1        37      990       4.2       75

Westmoreland, PA.........           9.3         136.2       0.8       252      829       5.9       18
York, PA.................           9.2         177.8       0.1       316      896       5.5       32
Providence, RI...........          18.2         287.2       0.5       287    1,016       1.5      266
Charleston, SC...........          14.9         249.2       1.7       157      915       4.2       75
Greenville, SC...........          13.7         267.8       1.9       134      903       5.4       33
Horry, SC................           8.6         136.2       3.4        24      622       3.8      102
Lexington, SC............           6.5         117.5       1.4       194      775       2.9      175
Richland, SC.............          10.1         220.0       1.3       200      854       0.4      315
Spartanburg, SC..........           6.2         137.3       2.9        55      888       1.3      282
York, SC.................           5.6          94.3       4.8         4      824       4.7       52

Minnehaha, SD............           7.2         127.5       1.3       200      876       3.4      134
Davidson, TN.............          22.3         485.4       3.6        16    1,053       3.7      114
Hamilton, TN.............           9.6         201.9       1.6       170      893       1.8      247
Knox, TN.................          12.2         236.6       0.8       252      877       3.1      156
Rutherford, TN...........           5.5         124.6       3.6        16      927       2.0      236
Shelby, TN...............          20.4         495.2       1.0       235    1,008       3.8      102
Williamson, TN...........           8.6         130.1       4.1        10    1,124       2.8      183
Bell, TX.................           5.4         119.1       1.5       183      883       9.6        6
Bexar, TX................          40.7         853.6       1.8       146      914       4.6       57
Brazoria, TX.............           5.7         106.0      -0.2       325    1,030       1.7      253

Brazos, TX...............           4.5          97.7       1.0       235      763       5.0       41
Cameron, TX..............           6.5         140.2       1.3       200      615       2.3      220
Collin, TX...............          24.5         398.6       3.6        16    1,169       1.7      253
Dallas, TX...............          76.1       1,686.9       2.5        85    1,213       2.6      196
Denton, TX...............          14.7         240.2       3.6        16      933       4.4       66
El Paso, TX..............          15.0         299.6       1.7       157      717       3.3      140
Fort Bend, TX............          13.1         179.7       1.6       170      936       0.4      315
Galveston, TX............           6.2         111.3       1.7       157      904       3.1      156
Harris, TX...............         114.2       2,284.5       0.7       264    1,231      -0.4      333
Hidalgo, TX..............          12.3         254.8       2.7        70      632       1.1      298

Jefferson, TX............           5.9         123.4       0.4       294    1,026       1.2      291
Lubbock, TX..............           7.5         138.7       1.3       200      801       5.1       38
McLennan, TX.............           5.2         113.4       2.0       125      830       1.6      261
Midland, TX..............           5.4          89.3       7.3         1    1,321      11.4        2
Montgomery, TX...........          11.2         175.2       3.2        33    1,008       2.0      236
Nueces, TX...............           8.3         164.5       1.3       200      861       1.4      273
Potter, TX...............           4.0          78.6      -0.4       331      832       6.1       15
Smith, TX................           6.2         103.4       0.8       252      823       1.5      266
Tarrant, TX..............          42.8         877.0       2.7        70    1,011       3.9       92
Travis, TX...............          40.2         728.7       3.1        37    1,186       5.6       29

Webb, TX.................           5.4          99.9       2.2       109      667       1.4      273
Williamson, TX...........          10.6         166.8       3.1        37      992       5.6       29
Davis, UT................           8.3         128.1       4.5         6      837       5.4       33
Salt Lake, UT............          44.0         687.6       2.8        62      967       2.7      189
Utah, UT.................          15.8         232.4       5.2         3      814       1.6      261
Weber, UT................           6.0         103.9       2.3        99      762       1.7      253
Chittenden, VT...........           6.9         103.5       0.8       252      978       0.3      321
Arlington, VA............           9.2         178.7       2.3        99    1,609       3.3      140
Chesterfield, VA.........           9.0         137.1       1.4       194      862       2.5      207
Fairfax, VA..............          37.3         610.3       1.2       212    1,542       3.5      125

Henrico, VA..............          11.6         195.4       1.6       170      972       1.7      253
Loudoun, VA..............          12.2         168.2       2.9        55    1,165       2.6      196
Prince William, VA.......           9.3         130.7       1.5       183      880       2.4      215
Alexandria City, VA......           6.5          94.8      -0.9       341    1,389       3.1      156
Chesapeake City, VA......           6.1         100.0       1.0       235      806       1.9      242
Newport News City, VA....           3.9          97.8       0.9       247      975       7.4        8
Norfolk City, VA.........           5.9         142.4       2.1       117    1,029       5.8       23
Richmond City, VA........           7.7         154.1       1.6       170    1,087       3.3      140
Virginia Beach City, VA..          12.2         183.8       0.6       274      786       3.8      102
Benton, WA...............           5.7          93.1       3.0        47    1,010       1.3      282

Clark, WA................          14.4         157.8       4.4         7      954       5.9       18
King, WA.................          86.1       1,369.7       3.3        29    1,472       6.0       17
Kitsap, WA...............           6.7          88.6       2.0       125      978      11.0        4
Pierce, WA...............          21.7         303.9       1.8       146      934       3.4      134
Snohomish, WA............          20.7         286.2       0.1       316    1,106       3.0      168
Spokane, WA..............          15.6         222.0       2.3        99      868       4.5       60
Thurston, WA.............           8.2         113.4       3.5        21      934       5.3       36
Whatcom, WA..............           7.3          90.4       1.9       134      860       6.8       12
Yakima, WA...............           7.7         121.6      -0.6       337      716       4.2       75
Kanawha, WV..............           5.7         100.7      -1.5       344      876       1.5      266

Brown, WI................           6.8         159.3       2.2       109      868       1.2      291
Dane, WI.................          15.1         334.2       1.0       235    1,004      -0.1      328
Milwaukee, WI............          25.7         488.8       0.4       294      970       2.6      196
Outagamie, WI............           5.2         110.2       1.0       235      860       3.2      148
Waukesha, WI.............          12.8         246.6       0.5       287      996       1.3      282
Winnebago, WI............           3.7          94.8       1.1       222      928       2.5      207
San Juan, PR.............          11.0         242.0      -0.9       (5)      622       2.6      (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 72.7 percent of
the total covered workers in the U.S.






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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter
         County by NAICS supersector                2017                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2017       June     quarter  second
                                                              (thousands) 2016-17(2)   2017    quarter
                                                                                             2016-17(2)


United States(3) ............................       9,922.4     145,186.4       1.7   $1,020       3.2
  Private industry...........................       9,624.1     123,579.7       1.9    1,010       3.2
    Natural resources and mining.............         136.9       2,001.8       1.9    1,017       2.2
    Construction.............................         791.8       7,102.1       3.6    1,119       4.0
    Manufacturing............................         348.4      12,484.2       0.7    1,239       3.0
    Trade, transportation, and utilities.....       1,925.9      27,199.7       1.0      863       3.1
    Information..............................         162.6       2,794.8       0.5    1,880       5.6
    Financial activities.....................         871.5       8,131.0       1.7    1,537       3.0
    Professional and business services.......       1,789.3      20,439.6       1.9    1,318       2.7
    Education and health services............       1,640.5      22,056.4       2.5      929       3.0
    Leisure and hospitality..................         840.1      16,514.3       2.1      431       3.9
    Other services...........................         847.2       4,514.9       1.4      701       3.9
  Government.................................         298.3      21,606.6       0.7    1,075       3.4

Los Angeles, CA..............................         483.9       4,373.6       1.7    1,130       3.8
  Private industry...........................         477.5       3,791.8       1.7    1,099       4.0
    Natural resources and mining.............           0.5           8.6       7.0    1,082       2.5
    Construction.............................          14.1         138.4       4.6    1,187       5.0
    Manufacturing............................          12.2         347.5      -3.3    1,307       6.4
    Trade, transportation, and utilities.....          54.0         818.4       0.8      924       3.8
    Information..............................          10.1         185.8      -0.2    2,192       4.5
    Financial activities.....................          25.7         219.2       0.9    1,782       3.2
    Professional and business services.......          48.0         598.6       1.0    1,406       5.3
    Education and health services............         228.1         773.2       3.2      862       1.8
    Leisure and hospitality..................          33.4         525.9       3.1      625       3.6
    Other services...........................          26.6         148.8       0.9      753      10.1
  Government.................................           6.3         581.8       1.2    1,334       3.0

Cook, IL.....................................         155.4       2,598.4       0.3    1,179       3.1
  Private industry...........................         154.1       2,299.4       0.4    1,166       3.1
    Natural resources and mining.............           0.1           1.3       5.2    1,182       4.9
    Construction.............................          12.5          76.3       1.2    1,436       2.9
    Manufacturing............................           6.3         186.1       0.0    1,232       3.4
    Trade, transportation, and utilities.....          30.1         469.1      -0.3      973       5.2
    Information..............................           2.7          51.4       0.5    1,778      -0.4
    Financial activities.....................          15.3         194.7       0.3    2,051       2.4
    Professional and business services.......          32.8         475.4      -0.6    1,495       4.2
    Education and health services............          16.5         443.0       0.5      962       1.7
    Leisure and hospitality..................          14.6         297.5       2.4      539       3.5
    Other services...........................          17.7          98.4       0.5      947       6.2
  Government.................................           1.3         299.0      -0.7    1,276       2.8

New York, NY.................................         129.2       2,469.1       1.7    1,907       2.4
  Private industry...........................         128.4       2,206.4       1.8    1,976       2.2
    Natural resources and mining.............           0.0           0.2       7.0    2,059       4.4
    Construction.............................           2.3          40.4      -2.4    1,865       3.8
    Manufacturing............................           2.1          25.5      -3.8    1,418       2.5
    Trade, transportation, and utilities.....          19.5         253.3      -0.5    1,367       0.2
    Information..............................           5.0         164.2       5.4    2,509       0.4
    Financial activities.....................          19.5         377.1       0.0    3,591       2.0
    Professional and business services.......          27.0         578.4       2.1    2,201       1.5
    Education and health services............          10.0         342.7       1.0    1,334       7.8
    Leisure and hospitality..................          14.1         303.0       2.3      875       3.3
    Other services...........................          20.5         104.4       1.1    1,253       7.4
  Government.................................           0.8         262.7       0.7    1,339       5.1

Harris, TX...................................         114.2       2,284.5       0.7    1,231      -0.4
  Private industry...........................         113.7       2,007.4       0.6    1,247      -0.6
    Natural resources and mining.............           1.6          66.7      -2.3    2,940      -9.0
    Construction.............................           7.4         158.9      -1.4    1,328       2.5
    Manufacturing............................           4.8         169.5      -1.1    1,558       1.3
    Trade, transportation, and utilities.....          25.0         468.0       0.1    1,118       1.4
    Information..............................           1.2          26.9      -4.2    1,400      -2.1
    Financial activities.....................          12.1         126.2       2.1    1,633       2.6
    Professional and business services.......          23.1         394.6       0.6    1,529      -3.0
    Education and health services............          15.9         291.2       2.8    1,034       3.1
    Leisure and hospitality..................          10.0         236.5       1.7      451       4.6
    Other services...........................          11.6          66.4       1.5      800       3.0
  Government.................................           0.6         277.1       1.5    1,113       1.1

Maricopa, AZ.................................          96.5       1,891.7       3.3      986       1.6
  Private industry...........................          95.8       1,705.9       3.5      975       1.8
    Natural resources and mining.............           0.4           8.6       2.3      908       5.5
    Construction.............................           6.9         110.6       7.1    1,038       4.2
    Manufacturing............................           3.1         117.9       1.0    1,432      -1.1
    Trade, transportation, and utilities.....          18.2         370.5       2.1      899       2.5
    Information..............................           1.5          34.7      -0.5    1,376      -0.7
    Financial activities.....................          10.7         174.5       5.2    1,258       0.2
    Professional and business services.......          20.6         323.8       2.0    1,065       2.1
    Education and health services............          10.6         289.1       4.2      978       2.5
    Leisure and hospitality..................           7.6         211.6       3.7      477       5.8
    Other services...........................           5.9          50.6      -2.3      718       4.8
  Government.................................           0.7         185.7       1.9    1,075       0.4

Dallas, TX...................................          76.1       1,686.9       2.5    1,213       2.6
  Private industry...........................          75.5       1,514.5       2.7    1,218       2.4
    Natural resources and mining.............           0.5           8.7       5.1    3,279      -4.9
    Construction.............................           4.5          89.0       4.1    1,222       7.6
    Manufacturing............................           2.8         112.7       0.9    1,440      -1.2
    Trade, transportation, and utilities.....          15.9         342.8       3.2    1,046       0.6
    Information..............................           1.4          48.6      -1.3    1,818      -1.7
    Financial activities.....................           9.4         165.4       4.2    1,704       3.1
    Professional and business services.......          17.1         340.5       2.5    1,417       3.5
    Education and health services............           9.5         197.2       2.9    1,105       5.6
    Leisure and hospitality..................           6.8         164.1       2.4      489       2.5
    Other services...........................           7.0          43.9      -0.6      803       6.2
  Government.................................           0.6         172.4       0.4    1,170       5.0

Orange, CA...................................         119.3       1,598.1       2.1    1,130       2.5
  Private industry...........................         117.8       1,443.1       2.3    1,115       2.6
    Natural resources and mining.............           0.2           2.9      -1.0      899       6.8
    Construction.............................           6.7         101.0       3.4    1,320       6.2
    Manufacturing............................           4.9         158.0      -0.4    1,397       2.0
    Trade, transportation, and utilities.....          16.9         258.5       1.3    1,003       1.4
    Information..............................           1.3          27.0       1.2    1,930       9.4
    Financial activities.....................          11.1         117.9       1.3    1,724       1.6
    Professional and business services.......          20.4         294.6       1.2    1,344       3.9
    Education and health services............          32.9         208.2       4.0      911      -0.4
    Leisure and hospitality..................           8.7         219.9       3.2      502       6.1
    Other services...........................           6.8          45.9       1.1      725       5.7
  Government.................................           1.5         155.0       0.6    1,267       2.2

San Diego, CA................................         109.8       1,440.9       2.0    1,101       2.8
  Private industry...........................         107.9       1,205.0       2.0    1,058       1.5
    Natural resources and mining.............           0.6           9.0      -8.3      720       2.3
    Construction.............................           6.8          79.2       4.2    1,181       3.3
    Manufacturing............................           3.2         107.9       0.7    1,504       3.0
    Trade, transportation, and utilities.....          14.2         224.1       0.9      873       0.3
    Information..............................           1.2          24.2       0.3    1,890       5.8
    Financial activities.....................           9.9          73.3       0.9    1,446       4.1
    Professional and business services.......          18.0         229.2       0.5    1,481       0.1
    Education and health services............          31.3         198.4       3.0      933       0.5
    Leisure and hospitality..................           8.3         200.0       2.8      504       5.7
    Other services...........................           7.2          51.9       2.4      625       4.3
  Government.................................           1.9         235.9       2.1    1,317       8.2

King, WA.....................................          86.1       1,369.7       3.3    1,472       6.0
  Private industry...........................          85.6       1,198.8       3.6    1,495       6.6
    Natural resources and mining.............           0.4           3.1       1.1    1,240       1.2
    Construction.............................           6.8          71.1       5.9    1,334       3.3
    Manufacturing............................           2.5         102.6      -2.7    1,617      -1.8
    Trade, transportation, and utilities.....          14.5         265.8       6.4    1,618      12.8
    Information..............................           2.2         103.4       5.9    2,991       8.6
    Financial activities.....................           6.7          67.9       2.7    1,650       3.8
    Professional and business services.......          17.9         224.5       2.6    1,668       5.0
    Education and health services............          18.0         170.8       2.5    1,040       4.6
    Leisure and hospitality..................           7.3         143.8       4.5      578       4.1
    Other services...........................           9.3          45.7       1.6      882       5.6
  Government.................................           0.5         171.0       1.7    1,318       1.7

Miami-Dade, FL...............................          98.8       1,111.0       1.8      971       1.8
  Private industry...........................          98.5         985.9       1.8      949       3.3
    Natural resources and mining.............           0.5           8.1       4.4      627       1.6
    Construction.............................           6.7          46.0       5.6      926       1.6
    Manufacturing............................           2.9          41.4       2.7      879       1.9
    Trade, transportation, and utilities.....          25.9         280.3       0.5      898       3.8
    Information..............................           1.6          17.9      -0.8    1,696       8.0
    Financial activities.....................          10.6          75.5       1.4    1,498       3.7
    Professional and business services.......          22.1         157.2       2.9    1,128       2.8
    Education and health services............          10.5         176.8       2.1      972       2.3
    Leisure and hospitality..................           7.3         141.5       1.8      581       3.8
    Other services...........................           8.4          39.6      -0.4      621       2.5
  Government.................................           0.3         125.2       1.3    1,125      -6.9

(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(3) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Counties selected are based on 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,
second quarter 2017

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2017                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2017       June    quarter  second
                                            (thousands)   2016-17    2017   quarter
                                                                            2016-17


United States(2)...........       9,922.4     145,186.4       1.7   $1,020      3.2

Alabama....................         124.2       1,946.4       1.2      858      2.8
Alaska.....................          22.1         338.4      -0.7    1,005     -0.5
Arizona....................         158.2       2,699.6       2.9      943      2.5
Arkansas...................          89.5       1,206.0       0.7      810      3.2
California.................       1,522.5      17,150.9       2.2    1,210      4.7
Colorado...................         198.4       2,638.8       2.5    1,042      4.2
Connecticut................         118.6       1,701.2       0.6    1,216      0.4
Delaware...................          31.7         446.6       0.6    1,012      2.2
District of Columbia.......          39.0         766.5       1.0    1,675      3.3
Florida....................         684.9       8,390.6       2.8      905      2.5

Georgia....................         278.1       4,357.8       2.1      956      2.9
Hawaii.....................          41.7         653.0       1.0      935      3.5
Idaho......................          61.0         723.5       3.4      765      3.4
Illinois...................         412.2       6,006.6       0.9    1,062      2.4
Indiana....................         164.3       3,041.0       1.5      859      3.7
Iowa.......................         101.7       1,571.4       0.4      853      3.3
Kansas.....................          90.3       1,377.8      -0.1      849      2.4
Kentucky...................         120.8       1,889.4       0.8      862      2.9
Louisiana..................         131.4       1,907.7       0.0      869      2.0
Maine......................          54.4         629.1       0.9      814      2.5

Maryland...................         171.8       2,694.8       1.4    1,103      3.1
Massachusetts..............         252.3       3,604.5       1.6    1,278      3.6
Michigan...................         242.9       4,365.3       1.6      969      2.9
Minnesota..................         169.0       2,902.1       2.0    1,037      3.9
Mississippi................          73.4       1,128.9       0.7      732      0.8
Missouri...................         206.6       2,818.7       1.2      889      3.0
Montana....................          48.3         473.6       1.3      797      3.9
Nebraska...................          72.6         984.0       0.4      833      3.5
Nevada.....................          80.7       1,333.5       3.4      900      2.9
New Hampshire..............          52.1         665.4       1.6    1,015      1.2

New Jersey.................         272.8       4,123.5       1.8    1,173      2.3
New Mexico.................          58.5         815.4       0.7      823      1.5
New York...................         648.6       9,417.4       1.6    1,237      2.2
North Carolina.............         272.0       4,361.4       1.8      902      4.3
North Dakota...............          31.9         422.7      -0.2      953      5.0
Ohio.......................         295.2       5,422.8       1.2      912      3.3
Oklahoma...................         110.4       1,583.8       0.8      845      2.5
Oregon.....................         150.2       1,912.6       2.2      967      3.8
Pennsylvania...............         360.1       5,859.4       1.3    1,000      3.0
Rhode Island...............          37.3         487.3       1.0      980      2.6

South Carolina.............         128.1       2,053.9       2.0      834      3.6
South Dakota...............          33.2         435.5       0.6      785      3.4
Tennessee..................         157.2       2,948.1       1.8      906      3.5
Texas......................         671.5      12,059.6       2.1    1,027      2.7
Utah.......................          98.5       1,440.3       3.4      862      2.6
Vermont....................          25.6         314.2       1.0      870      2.1
Virginia...................         269.6       3,886.6       1.5    1,047      3.7
Washington.................         239.2       3,352.5       2.2    1,141      5.6
West Virginia..............          50.1         690.9      -0.3      828      3.4
Wisconsin..................         171.7       2,905.3       1.1      876      2.3

Wyoming....................          26.1         280.2      -0.7      875      3.1

Puerto Rico................          46.9         873.6      -1.0      515      1.2
Virgin Islands.............           3.3          38.6       0.4      762      2.6

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

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






Last Modified Date: December 05, 2017