Economic News Release

County Employment and Wages News Release

For release 10:00 a.m. (EST), Thursday, December 17, 2015                                   USDL-15-2392

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 2015

From June 2014 to June 2015, employment increased in 319 of the 342 largest U.S. counties (counties 
with 75,000 or more jobs in 2014), the U.S. Bureau of Labor Statistics reported today. Utah, Utah, had 
the largest percentage increase, with a gain of 7.5 percent over the year, compared with national job 
growth of 2.0 percent. Within Utah, the largest employment increase occurred in trade, transportation, 
and utilities, which gained 3,540 jobs over the year (10.3 percent). Ector, Texas, had the largest over-
the-year percentage decrease in employment among the largest counties in the U.S. with a loss of 4.2 
percent. County employment and wage data are compiled under the Quarterly Census of Employment 
and Wages (QCEW) program, which produces detailed information on county employment and wages 
within 6 months after the end of each quarter.

The U.S. average weekly wage increased 3.0 percent over the year, growing to $968 in the second 
quarter of 2015. Ventura, Calif., had the largest over-the-year percentage increase in average weekly 
wages with a gain of 15.2 percent. Within Ventura, an average weekly wage gain of $934, or 53.8 
percent, in manufacturing made the largest contribution to the county’s increase in average weekly 
wages. Olmsted, Minn., experienced the largest percentage decrease in average weekly wages with a 
loss of 5.2 percent over the year.

Table A.  Large counties ranked by June 2015 employment, June 2014-15 employment increase, and 
June 2014-15 percent increase in employment

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
        June 2015 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |            June 2014-15          |            June 2014-15
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           140,594.9| United States             2,820.2| United States                 2.0
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,232.7| Los Angeles, Calif.          82.8| Utah, Utah                    7.5
 Cook, Ill.                2,548.6| Dallas, Texas                64.1| Lee, Fla.                     6.4
 New York, N.Y.            2,378.9| Maricopa, Ariz.              54.8| Williamson, Tenn.             6.3
 Harris, Texas             2,295.1| New York, N.Y.               54.5| Hall, Ga.                     5.8
 Maricopa, Ariz.           1,774.4| King, Wash.                  46.7| Brazoria, Texas               5.6
 Dallas, Texas             1,607.2| Orange, Calif.               39.8| Denton, Texas                 5.1
 Orange, Calif.            1,519.8| Santa Clara, Calif.          39.2| Calcasieu, La.                5.0
 San Diego, Calif.         1,374.7| Harris, Texas                38.7| Davis, Utah                   5.0
 King, Wash.               1,285.2| Cook, Ill.                   38.4| Benton, Ark.                  4.9
 Miami-Dade, Fla.          1,061.4| San Diego, Calif.            36.7| Manatee, Fla.                 4.9
--------------------------------------------------------------------------------------------------------

Large County Employment

In June 2015, national employment was 140.6 million (as measured by the QCEW program). Over the 
year, employment increased 2.0 percent, or 2.8 million. In June 2015, the 342 U.S. counties with 75,000 
or more jobs accounted for 72.1 percent of total U.S. employment and 77.2 percent of total wages. These 
342 counties had a net job growth of 2.2 million over the year, accounting for 78.3 percent of the overall 
U.S. employment increase. 

Utah, Utah, had the largest percentage increase in employment (7.5 percent) among the largest U.S. 
counties. The five counties with the largest increases in employment levels were Los Angeles, Calif.; 
Dallas, Texas; Maricopa, Ariz.; New York, N.Y.; and King, Wash. These counties had a combined over-
the-year employment gain of 302,900 jobs, which was 10.7 percent of the overall job increase for the 
U.S. (See table A.)

Employment declined in 20 of the largest counties from June 2014 to June 2015. Ector, Texas, had the 
largest over-the-year percentage decrease in employment (-4.2 percent). Within Ector, natural resources 
and mining had the largest decrease in employment, with a loss of 2,352 jobs (-19.0 percent). Atlantic, 
N.J., had the second largest percentage decrease in employment, followed by Gregg, Texas; Midland, 
Texas; and Lafayette, La. (See table 1.)

Table B.  Large counties ranked by second quarter 2015 average weekly wages, second quarter 2014-15
increase in average weekly wages, and second quarter 2014-15 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 2015       |    wage, second quarter 2014-15  |        weekly wage, second
                                  |                                  |          quarter 2014-15
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $968| United States                 $28| United States                 3.0
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,109| Santa Clara, Calif.          $214| Ventura, Calif.              15.2
 San Mateo, Calif.           1,863| Ventura, Calif.               143| Santa Clara, Calif.          11.3
 New York, N.Y.              1,842| San Francisco, Calif.         137| Forsyth, N.C.                10.9
 San Francisco, Calif.       1,730| San Mateo, Calif.             114| Riverside, Calif.             8.7
 Washington, D.C.            1,599| Middlesex, Mass.              104| San Francisco, Calif.         8.6
 Arlington, Va.              1,546| Forsyth, N.C.                  91| Davidson, Tenn.               8.1
 Fairfax, Va.                1,517| Davidson, Tenn.                78| Santa Barbara, Calif.         7.8
 Suffolk, Mass.              1,512| Marin, Calif.                  77| Middlesex, Mass.              7.5
 Fairfield, Conn.            1,497| Santa Barbara, Calif.          69| Marin, Calif.                 6.6
 Middlesex, Mass.            1,491| Riverside, Calif.              66| San Mateo, Calif.             6.5
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $968, a 3.0 percent increase, during the year ending in 
the second quarter of 2015. Among the 342 largest counties, 323 had over-the-year increases in average 
weekly wages. Ventura, Calif., had the largest percentage wage increase among the largest U.S. counties 
(15.2 percent).

Of the 342 largest counties, 16 experienced over-the-year decreases in average weekly wages. Olmsted, 
Minn., had the largest percentage decrease in average weekly wages, with a loss of 5.2 percent. Within 
Olmsted, education and health services had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $150 (-10.5 percent) over the year. 
Ector, Texas, had the second largest percentage decrease in average weekly wages, followed by 
Midland, Texas; Hillsborough, N.H.; and Lorain, Ohio. (See table 1.) 

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in June 2015. 
Dallas, Texas, had the largest gain (4.2 percent). Within Dallas, trade, transportation, and utilities had 
the largest over-the-year employment level increase, with a gain of 17,164 jobs, or 5.6 percent. Cook, 
Ill., had the smallest percentage increase in employment (1.5 percent) among the 10 largest counties. 
(See table 2.)

Average weekly wages increased over the year in 9 of the 10 largest U.S. counties. Orange, Calif., 
experienced the largest percentage gain in average weekly wages (4.9 percent). Within Orange, 
professional and business services had the largest impact on the county’s average weekly wage growth. 
Within this industry, average weekly wages increased by $87, or 7.0 percent, over the year. Harris, 
Texas, was the only county with unchanged average weekly wages among the 10 largest counties.

For More Information

The tables included in this release contain data for the nation and for the 342 U.S. counties with annual 
average employment levels of 75,000 or more in 2014. June 2015 employment and 2015 second quarter 
average weekly wages for all states are provided in table 3 of this release.

The employment and wage data by county are compiled under the QCEW program, also known as the 
ES-202 program. The data are derived from reports submitted by every employer subject to 
unemployment insurance (UI) laws. The 9.6 million employer reports cover 140.6 million full- and part-
time workers. The QCEW program provides a quarterly and annual universe count of establishments, 
employment, and wages at the county, MSA, state, and national levels by detailed industry. Data for the 
second quarter of 2015 will be available electronically later at www.bls.gov/cew/. For additional 
information about the quarterly employment and wages data, please read the Technical Note. Additional 
information about the QCEW data may be obtained by calling (202) 691-6567.

Several BLS regional offices are issuing QCEW news releases targeted to local data users. For links to 
these releases, see www.bls.gov/cew/cewregional.htm.

_____________
The County Employment and Wages release for third quarter 2015 is scheduled to be released on 
Wednesday, March 9, 2016.

 ----------------------------------------------------------------------------------------------------------
|                                                                                                          |
|         County Name Change Effective with the BLS Release of Data for the Third Quarter of 2015          |
|                                                                                                          |
|  On May 1st, 2015, Shannon, S.D., was officially renamed Oglala Lakota, S.D. This county is not part of  |
|  this release because it has fewer than 75,000 jobs. However, BLS does publish data for this county. The |
|  name change will be implemented with the BLS release of data for the third quarter of 2015. Data prior  |
|  to third quarter 2015 will still be available under Shannon, S.D.                                       |
 ----------------------------------------------------------------------------------------------------------






Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of 
Employment and Wages (QCEW) program, also known as the ES-202 program. The data are 
derived from summaries of employment and total pay of workers covered by state and federal 
unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The 
summaries are a result of the administration of state unemployment insurance programs that 
require most employers to pay quarterly taxes based on the employment and wages of workers 
covered by UI. QCEW data in this release are based on the 2012 North American Industry 
Classification System. Data for 2015 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 343 counties 
presented in this release were derived using 2014 preliminary annual averages of employment. For 
2015 data, three counties have been added to the publication tables: Butte, Calif.; Hall, Ga.; and 
Ector, Texas. These counties will be included in all 2015 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. 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- |  588,000 establish-
            |  submitted by 9.5   |  ministrative records|  ments
            |  million establish- |  submitted by 7.6    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2015    |  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  |  -6 months after the|  -7 months after the |  -Usually first Friday
            |   end of each quar- |   end of each quarter|   of following month
            |   ter               |                      |
 -----------|---------------------|----------------------|------------------------
 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 national
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------

Coverage

Employment and wage data for workers covered by state UI laws are compiled from quarterly 
contribution reports submitted to the SWAs by employers. For federal civilian workers covered by 
the Unemployment Compensation for Federal Employees (UCFE) program, employment and 
wage data are compiled from quarterly reports submitted by four major federal payroll processing 
centers on behalf of all federal agencies, with the exception of a few agencies which still report 
directly to the individual SWA. In addition to the quarterly contribution reports, employers who 
operate multiple establishments within a state complete a questionnaire, called the "Multiple 
Worksite Report," which provides detailed information on the location and industry of each of their 
establishments. QCEW employment and wage data are derived from microdata summaries of 9.4 
million employer reports of employment and wages submitted by states to the BLS in 2014. 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 2014, UI and UCFE programs 
covered workers in 136.6 million jobs. The estimated 131.8  million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.3  percent of civilian wage and salary 
employment. Covered workers received $7.017 trillion in pay, representing 93.8 percent of the 
wage and salary component of personal income and 40.5 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 2014 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 2014 edition 
of this publication, which was published in September 2015, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2015 version of this news release. Tables and additional content from the 2014 edition 
of Employment and Wages Annual Averages Online are now available at 
http://www.bls.gov/cew/cewbultn14.htm. The 2015 edition of Employment and Wages Annual 
Averages Online will be available in September 2016.

News releases on quarterly measures of gross job flows also are available upon request from the 
Division of Administrative Statistics and Labor Turnover (Business Employment Dynamics), 
telephone (202) 691-6467; (http://www.bls.gov/bdm/); (e-mail: BDMInfo@bls.gov).

Information in this release will be made available to sensory impaired individuals upon request. 
Voice phone: (202) 691-5200; TDD message referral phone number: 1-800-877-8339.






Table 1. Covered establishments, employment, and wages in the 343 largest counties,
second quarter 2015

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2015          June      change,      by    Second    change,      by
                            (thousands)       2015       June     percent  quarter   second    percent
                                          (thousands) 2014-15(3)   change    2015    quarter    change
                                                                                   2014-15(3)
                                                                                                     
United States(4).........       9,575.3     140,594.9       2.0        -      $968       3.0       - 
                                                                                                     
Jefferson, AL............          17.7         339.4       0.4       303      945       1.7      252
Madison, AL..............           9.1         186.1       1.7       183    1,051       0.3      319
Mobile, AL...............           9.6         167.6       0.1       315      827       1.7      252
Montgomery, AL...........           6.3         129.7       0.5       298      821       2.5      160
Shelby, AL...............           5.4          83.8       2.4       130      901       1.8      240
Tuscaloosa, AL...........           4.3          91.2       3.3        71      811       1.4      276
Anchorage Borough, AK....           8.4         155.8       0.4       303    1,070       2.1      207
Maricopa, AZ.............          95.3       1,774.4       3.2        76      948       1.7      252
Pima, AZ.................          19.0         347.4       0.1       315      828       1.2      289
Benton, AR...............           5.9         111.2       4.9         9      931       3.8       51
                                                                                                     
Pulaski, AR..............          14.5         244.7       0.8       275      877       2.5      160
Washington, AR...........           5.8         100.6       3.8        42      783       3.4       79
Alameda, CA..............          59.0         730.8       3.1        82    1,257       5.0       19
Butte, CA................           7.9          78.5       2.2       147      728       4.1       37
Contra Costa, CA.........          30.6         348.2       1.9       166    1,163       3.0      114
Fresno, CA...............          32.0         372.9       2.4       130      746       3.9       45
Kern, CA.................          17.5         309.0      -1.0       333      814      -1.0      333
Los Angeles, CA..........         452.5       4,232.7       2.0       160    1,058       3.6       69
Marin, CA................          12.2         113.4       2.7       102    1,243       6.6        9
Monterey, CA.............          13.0         198.7       0.4       303      809       2.7      143
                                                                                                     
Orange, CA...............         111.2       1,519.8       2.7       102    1,086       4.9       21
Placer, CA...............          11.8         148.9       3.4        67      965       4.8       24
Riverside, CA............          55.7         656.4       4.1        26      828       8.7        4
Sacramento, CA...........          53.8         628.0       2.8        96    1,057       3.0      114
San Bernardino, CA.......          53.3         682.8       3.8        42      823       2.9      120
San Diego, CA............         103.6       1,374.7       2.7       102    1,073       3.1      105
San Francisco, CA........          58.7         668.9       4.5        15    1,730       8.6        5
San Joaquin, CA..........          17.0         233.7       4.1        26      796       3.6       69
San Luis Obispo, CA......          10.0         116.2       2.9        93      794       3.7       65
San Mateo, CA............          26.8         383.4       4.8        11    1,863       6.5       10
                                                                                                     
Santa Barbara, CA........          14.8         197.4       1.5       207      957       7.8        7
Santa Clara, CA..........          67.7       1,018.7       4.0        32    2,109      11.3        2
Santa Cruz, CA...........           9.3         105.6       2.0       160      860       3.2       96
Solano, CA...............          10.5         132.2       3.3        71      998       3.4       79
Sonoma, CA...............          19.2         197.4       2.3       138      893       4.3       35
Stanislaus, CA...........          14.6         179.7       2.2       147      808       5.2       17
Tulare, CA...............           9.4         160.4       1.3       226      667       3.7       65
Ventura, CA..............          25.3         316.8       0.8       275    1,085      15.2        1
Yolo, CA.................           6.3          99.2       2.6       113      990       2.7      143
Adams, CO................           9.9         194.2       4.5        15      930       1.6      264
                                                                                                     
Arapahoe, CO.............          20.6         319.5       3.3        71    1,090       1.7      252
Boulder, CO..............          14.2         174.0       2.7       102    1,137       3.3       87
Denver, CO...............          29.3         481.5       4.6        14    1,180       4.8       24
Douglas, CO..............          10.9         115.0       3.7        47    1,108      -0.4      328
El Paso, CO..............          17.9         259.2       2.8        96      864       1.8      240
Jefferson, CO............          18.8         230.6       2.5       120      981       2.5      160
Larimer, CO..............          11.1         149.8       3.4        67      845       2.1      207
Weld, CO.................           6.6         101.4       1.1       243      862       3.1      105
Fairfield, CT............          34.4         431.1       1.6       202    1,497       3.0      114
Hartford, CT.............          26.8         513.5       1.0       256    1,162       0.3      319
                                                                                                     
New Haven, CT............          23.3         364.4       0.6       291    1,007       2.0      220
New London, CT...........           7.2         124.2       0.3       308      960      -0.1      326
New Castle, DE...........          18.8         285.0       2.5       120    1,110       1.0      298
Washington, DC...........          37.2         745.1       1.8       172    1,599       1.8      240
Alachua, FL..............           6.9         120.6       1.6       202      831       1.8      240
Brevard, FL..............          15.2         193.5       2.5       120      865       3.3       87
Broward, FL..............          67.9         752.0       2.6       113      907       3.9       45
Collier, FL..............          13.1         125.4       4.0        32      846      -0.6      331
Duval, FL................          28.4         469.8       3.2        76      911       1.8      240
Escambia, FL.............           8.2         125.4       1.9       166      763       2.8      132
                                                                                                     
Hillsborough, FL.........          40.4         632.1       3.7        47      922       2.4      180
Lake, FL.................           7.9          85.7       3.9        36      665       3.1      105
Lee, FL..................          20.7         231.9       6.4         2      775       3.3       87
Leon, FL.................           8.4         141.2       1.1       243      798       1.4      276
Manatee, FL..............          10.3         111.5       4.9         9      750       1.8      240
Marion, FL...............           8.3          95.3       1.7       183      679       1.8      240
Miami-Dade, FL...........          96.7       1,061.4       3.5        59      931       2.1      207
Okaloosa, FL.............           6.3          79.4       0.8       275      798       3.1      105
Orange, FL...............          39.7         754.6       3.8        42      849       2.5      160
Osceola, FL..............           6.4          82.5       4.4        17      685       3.2       96
                                                                                                     
Palm Beach, FL...........          53.9         556.3       3.6        51      937       3.1      105
Pasco, FL................          10.6         101.9       3.5        59      718       2.9      120
Pinellas, FL.............          32.1         406.7       2.8        96      850       0.6      311
Polk, FL.................          12.9         197.9       3.2        76      735       1.4      276
Sarasota, FL.............          15.5         155.7       4.4        17      812       3.2       96
Seminole, FL.............          14.5         173.3       4.1        26      828       4.0       41
Volusia, FL..............          13.9         156.7       3.4        67      713       2.7      143
Bibb, GA.................           4.5          83.1       1.4       220      753       2.9      120
Chatham, GA..............           8.4         146.2       3.9        36      822       2.2      198
Clayton, GA..............           4.4         117.4       2.8        96      909       1.7      252
                                                                                                     
Cobb, GA.................          23.1         333.9       2.6       113    1,016       2.6      154
DeKalb, GA...............          19.2         289.7       2.3       138      991       2.0      220
Fulton, GA...............          45.5         792.7       3.9        36    1,247       2.0      220
Gwinnett, GA.............          26.1         338.9       3.1        82      936       2.4      180
Hall, GA.................           4.6          80.0       5.8         4      789       3.1      105
Muscogee, GA.............           4.8          94.0      -0.4       325      758       1.9      235
Richmond, GA.............           4.7         103.7       2.2       147      805       1.6      264
Honolulu, HI.............          25.1         463.3       1.3       226      910       3.8       51
Ada, ID..................          14.0         218.1       2.9        93      828       1.6      264
Champaign, IL............           4.6          90.5       0.7       284      839       2.9      120
                                                                                                     
Cook, IL.................         164.0       2,548.6       1.5       207    1,116       2.5      160
DuPage, IL...............          39.9         615.5       1.5       207    1,104       2.5      160
Kane, IL.................          14.4         212.0       1.5       207      831       2.8      132
Lake, IL.................          23.6         340.1       0.0       320    1,261       5.2       17
McHenry, IL..............           9.2          98.6       0.9       265      792       2.5      160
McLean, IL...............           4.0          85.2       0.8       275      957       0.9      305
Madison, IL..............           6.3          97.8      -0.4       325      785       3.0      114
Peoria, IL...............           4.9         102.6       1.0       256      908       2.5      160
St. Clair, IL............           5.8          92.4       0.5       298      764       2.4      180
Sangamon, IL.............           5.5         129.7      -0.7       331      985       2.2      198
                                                                                                     
Will, IL.................          16.9         224.9       2.3       138      858       2.5      160
Winnebago, IL............           7.1         129.5       0.9       265      818       2.8      132
Allen, IN................           8.7         184.2       2.3       138      765       2.3      194
Elkhart, IN..............           4.7         126.1       2.6       113      816       2.1      207
Hamilton, IN.............           8.9         134.0       3.5        59      908       3.8       51
Lake, IN.................          10.3         187.7      -0.5       328      830      -0.1      326
Marion, IN...............          23.5         584.6       1.9       166      956       2.9      120
St. Joseph, IN...........           5.7         121.9       3.1        82      769       1.3      285
Tippecanoe, IN...........           3.3          81.2       1.8       172      815       2.1      207
Vanderburgh, IN..........           4.7         106.9       1.1       243      789       4.1       37
                                                                                                     
Black Hawk, IA...........           3.9          74.8      -1.5       336      794       1.7      252
Johnson, IA..............           4.0          81.9       0.6       291      898       2.6      154
Linn, IA.................           6.6         131.6       1.0       256      924       3.4       79
Polk, IA.................          16.6         293.1       1.1       243      944       2.5      160
Scott, IA................           5.5          92.6       1.3       226      783       2.0      220
Johnson, KS..............          22.0         338.4       2.3       138    1,021       4.6       27
Sedgwick, KS.............          12.5         248.8       1.4       220      851       1.9      235
Shawnee, KS..............           5.0          97.4       0.6       291      794       1.1      295
Wyandotte, KS............           3.3          90.2       2.2       147      896       2.5      160
Boone, KY................           4.2          82.3       4.1        26      865       2.1      207
                                                                                                     
Fayette, KY..............          10.6         189.4       2.6       113      866       3.8       51
Jefferson, KY............          24.7         453.6       2.5       120      954       3.0      114
Caddo, LA................           7.2         115.1      -0.1       322      787       1.5      270
Calcasieu, LA............           4.9          92.5       5.0         7      827       0.0      324
East Baton Rouge, LA.....          14.6         264.1       0.9       265      909       1.8      240
Jefferson, LA............          13.5         194.8      -0.5       328      862       2.5      160
Lafayette, LA............           9.2         136.5      -2.8       337      913      -1.8      336
Orleans, LA..............          11.9         191.4       3.7        47      908       0.6      311
St. Tammany, LA..........           7.7          85.6       3.9        36      808       2.0      220
Cumberland, ME...........          13.1         179.9       1.0       256      870       3.4       79
                                                                                                     
Anne Arundel, MD.........          14.9         263.1       1.4       220    1,021       2.8      132
Baltimore, MD............          21.2         374.1       1.3       226      952       1.2      289
Frederick, MD............           6.3         100.1       2.4       130      911       1.2      289
Harford, MD..............           5.8          91.3       0.9       265      959       1.7      252
Howard, MD...............           9.8         167.2       1.8       172    1,175       3.5       75
Montgomery, MD...........          32.7         466.6       1.0       256    1,287       3.2       96
Prince George's, MD......          15.6         311.1       0.8       275    1,002       0.8      307
Baltimore City, MD.......          13.6         335.0       0.8       275    1,094       2.4      180
Barnstable, MA...........           9.3         105.0       0.9       265      805       2.0      220
Bristol, MA..............          16.9         224.9       1.3       226      900       5.4       13
                                                                                                     
Essex, MA................          23.5         326.2       1.5       207    1,025       1.6      264
Hampden, MA..............          17.1         206.2       1.4       220      883       3.3       87
Middlesex, MA............          52.9         883.0       2.4       130    1,491       7.5        8
Norfolk, MA..............          24.5         349.5       1.6       202    1,132       4.6       27
Plymouth, MA.............          15.0         191.8       1.9       166      929       2.5      160
Suffolk, MA..............          27.0         640.8       3.0        88    1,512       3.1      105
Worcester, MA............          23.5         339.2       1.7       183      960       2.5      160
Genesee, MI..............           6.9         134.4       0.3       308      796       4.6       27
Ingham, MI...............           6.0         146.2       0.3       308      882      -0.5      329
Kalamazoo, MI............           5.0         116.1       1.0       256      873       2.6      154
                                                                                                     
Kent, MI.................          14.0         365.2       1.2       235      857       3.4       79
Macomb, MI...............          17.3         321.1       2.3       138      954       1.4      276
Oakland, MI..............          38.2         717.0       1.7       183    1,067       1.7      252
Ottawa, MI...............           5.5         120.9       2.4       130      805       2.5      160
Saginaw, MI..............           4.0          84.5       0.7       284      754       1.5      270
Washtenaw, MI............           8.1         200.5       1.8       172    1,030       4.0       41
Wayne, MI................          30.3         707.2       1.2       235    1,059       2.7      143
Anoka, MN................           6.8         120.2       1.8       172      924       2.1      207
Dakota, MN...............           9.6         186.0       1.1       243      948       2.8      132
Hennepin, MN.............          38.2         894.4       2.2       147    1,196       3.8       51
                                                                                                     
Olmsted, MN..............           3.3          94.8       1.1       243    1,007      -5.2      341
Ramsey, MN...............          13.1         329.6       1.5       207    1,079       1.2      289
St. Louis, MN............           5.2          99.6       1.5       207      781       2.8      132
Stearns, MN..............           4.2          85.7       0.9       265      800       3.9       45
Washington, MN...........           5.3          80.7       2.1       155      809       3.2       96
Harrison, MS.............           4.4          83.9      -0.2       323      688       0.9      305
Hinds, MS................           5.9         120.6       2.0       160      831       0.8      307
Boone, MO................           4.8          91.4       1.7       183      750       2.2      198
Clay, MO.................           5.4          98.7       4.8        11      875       5.0       19
Greene, MO...............           8.4         161.9       1.7       183      739       3.2       96
                                                                                                     
Jackson, MO..............          20.7         360.7       1.5       207      975       5.3       15
St. Charles, MO..........           8.9         141.2       3.5        59      788       1.0      298
St. Louis, MO............          35.3         595.5       1.2       235    1,015       2.0      220
St. Louis City, MO.......          12.3         226.8       2.3       138    1,016       2.7      143
Yellowstone, MT..........           6.4          81.7       2.5       120      839       4.4       32
Douglas, NE..............          18.6         333.4       1.7       183      889       4.5       31
Lancaster, NE............          10.0         166.4       1.7       183      777       2.8      132
Clark, NV................          53.6         908.9       3.6        51      845       2.4      180
Washoe, NV...............          14.3         202.1       3.4        67      857       3.5       75
Hillsborough, NH.........          12.2         198.3       1.9       166    1,030      -2.6      338
                                                                                                     
Rockingham, NH...........          10.8         148.0       1.8       172      956       1.5      270
Atlantic, NJ.............           6.5         133.5      -3.7       340      814       2.4      180
Bergen, NJ...............          32.9         452.4       1.1       243    1,158       1.4      276
Burlington, NJ...........          11.0         201.5       0.7       284    1,014       2.7      143
Camden, NJ...............          11.9         199.4       1.1       243      940       1.8      240
Essex, NJ................          20.3         337.6       0.2       313    1,148       2.1      207
Gloucester, NJ...........           6.2         104.3       3.1        82      837       0.8      307
Hudson, NJ...............          14.3         244.7       3.6        51    1,318       4.8       24
Mercer, NJ...............          11.1         241.1       3.7        47    1,200       1.1      295
Middlesex, NJ............          22.1         405.9       1.3       226    1,141       2.7      143
                                                                                                     
Monmouth, NJ.............          20.0         264.2       2.5       120      954       1.5      270
Morris, NJ...............          17.0         290.1       1.5       207    1,392       2.7      143
Ocean, NJ................          12.8         169.2       1.3       226      783       2.4      180
Passaic, NJ..............          12.3         167.5       0.0       320      980       4.4       32
Somerset, NJ.............          10.0         187.7       1.1       243    1,432       2.9      120
Union, NJ................          14.3         218.9       (5)        -     1,282       (5)       - 
Bernalillo, NM...........          17.7         317.4       1.2       235      828       1.6      264
Albany, NY...............          10.4         231.1       1.1       243    1,013       2.9      120
Bronx, NY................          18.6         299.9       2.1       155      928       2.3      194
Broome, NY...............           4.6          87.7      -1.2       335      774       2.4      180
                                                                                                     
Dutchess, NY.............           8.5         111.7       1.1       243      977       1.0      298
Erie, NY.................          24.7         468.0       0.8       275      843       2.2      198
Kings, NY................          60.0         663.0       4.4        17      813       2.9      120
Monroe, NY...............          18.8         384.5       0.9       265      913       2.0      220
Nassau, NY...............          53.9         626.7       1.2       235    1,094       2.3      194
New York, NY.............         129.7       2,378.9       2.3       138    1,842       3.3       87
Oneida, NY...............           5.4         105.3       0.7       284      776       2.1      207
Onondaga, NY.............          13.1         244.2       0.1       315      884       2.2      198
Orange, NY...............          10.3         141.5       1.2       235      850       2.9      120
Queens, NY...............          51.3         636.5       3.8        42      905       1.0      298
                                                                                                     
Richmond, NY.............           9.7         113.4       1.8       172      853       3.0      114
Rockland, NY.............          10.5         120.6       2.2       147      979       0.2      323
Saratoga, NY.............           5.9          86.0       3.0        88      918       5.4       13
Suffolk, NY..............          52.5         665.3       1.1       243    1,025       1.4      276
Westchester, NY..........          36.7         429.6       2.1       155    1,274       4.1       37
Buncombe, NC.............           8.5         123.9       3.6        51      724       2.7      143
Catawba, NC..............           4.3          82.9       2.2       147      739       2.5      160
Cumberland, NC...........           6.2         118.0      -0.3       324      760       2.0      220
Durham, NC...............           7.8         191.4       2.4       130    1,202       1.3      285
Forsyth, NC..............           9.3         179.8       0.9       265      928      10.9        3
                                                                                                     
Guilford, NC.............          14.2         275.2       3.1        82      834       3.1      105
Mecklenburg, NC..........          35.1         637.3       4.7        13    1,082       3.8       51
New Hanover, NC..........           7.6         106.6       3.9        36      774       3.2       96
Wake, NC.................          31.6         515.1       3.5        59      984       4.9       21
Cass, ND.................           6.9         117.3       2.1       155      865       4.0       41
Butler, OH...............           7.5         144.5       1.7       183      855       3.4       79
Cuyahoga, OH.............          35.4         721.6       0.7       284      971       1.9      235
Delaware, OH.............           4.8          85.9       1.1       243      943       3.3       87
Franklin, OH.............          30.4         723.1       2.8        96      977       3.2       96
Hamilton, OH.............          23.3         510.8       1.7       183    1,019       2.4      180
                                                                                                     
Lake, OH.................           6.3          96.8       0.6       291      805       3.6       69
Lorain, OH...............           6.1          99.0       0.6       291      755      -2.1      337
Lucas, OH................          10.0         209.4       1.7       183      832       1.2      289
Mahoning, OH.............           5.8          97.9      -0.7       331      679       2.4      180
Montgomery, OH...........          11.9         250.1       1.7       183      836       2.7      143
Stark, OH................           8.6         159.9       0.4       303      720       1.3      285
Summit, OH...............          14.1         265.6       0.7       284      848       2.8      132
Warren, OH...............           4.6          90.7       3.0        88      856       5.3       15
Cleveland, OK............           5.4          80.8       2.7       102      724       1.1      295
Oklahoma, OK.............          27.0         450.8       1.3       226      900       1.4      276
                                                                                                     
Tulsa, OK................          21.8         349.5       1.8       172      892       0.3      319
Clackamas, OR............          13.9         152.9       3.0        88      922       3.8       51
Jackson, OR..............           7.0          82.7       3.1        82      723       2.7      143
Lane, OR.................          11.6         147.6       2.7       102      771       3.8       51
Marion, OR...............          10.0         147.8       3.0        88      789       3.5       75
Multnomah, OR............          32.2         480.7       3.2        76      983       1.9      235
Washington, OR...........          18.1         276.0       3.5        59    1,204       3.8       51
Allegheny, PA............          35.6         696.1       0.2       313    1,031       2.8      132
Berks, PA................           8.9         170.6       1.3       226      892       2.4      180
Bucks, PA................          19.9         261.5       1.2       235      925       2.4      180
                                                                                                     
Butler, PA...............           5.0          86.5       0.5       298      900       3.8       51
Chester, PA..............          15.4         246.4       0.6       291    1,295       4.9       21
Cumberland, PA...........           6.3         131.4       2.0       160      908      -1.0      333
Dauphin, PA..............           7.4         180.8       1.0       256      950       3.7       65
Delaware, PA.............          14.0         219.6       0.5       298    1,028       3.8       51
Erie, PA.................           7.2         126.6       0.1       315      755       3.3       87
Lackawanna, PA...........           5.8          97.7       0.1       315      729       2.1      207
Lancaster, PA............          13.2         231.9       1.7       183      805       3.6       69
Lehigh, PA...............           8.6         185.7       0.9       265      950       0.6      311
Luzerne, PA..............           7.6         142.9       0.4       303      759       2.2      198
                                                                                                     
Montgomery, PA...........          27.5         483.6       1.5       207    1,183       1.5      270
Northampton, PA..........           6.7         109.1       1.9       166      832       2.0      220
Philadelphia, PA.........          35.1         652.7       2.1       155    1,137       2.9      120
Washington, PA...........           5.5          88.5      -0.4       325      957       2.6      154
Westmoreland, PA.........           9.3         135.4       0.5       298      779       1.7      252
York, PA.................           9.1         175.5       0.7       284      827       2.2      198
Providence, RI...........          17.5         284.3       1.7       183      959       3.3       87
Charleston, SC...........          13.4         237.1       2.7       102      837       1.9      235
Greenville, SC...........          13.5         257.8       3.2        76      835       2.0      220
Horry, SC................           8.4         126.5       1.8       172      568       3.5       75
                                                                                                     
Lexington, SC............           6.3         111.9       3.5        59      737       2.5      160
Richland, SC.............           9.3         211.8       1.8       172      835       1.2      289
Spartanburg, SC..........           5.9         127.0       2.4       130      849       1.7      252
York, SC.................           5.0          85.9       4.2        22      756      -0.5      329
Minnehaha, SD............           6.9         125.2       2.0       160      825       3.8       51
Davidson, TN.............          20.4         457.0       4.4        17    1,038       8.1        6
Hamilton, TN.............           9.1         192.5       2.6       113      870       2.8      132
Knox, TN.................          11.5         230.1       2.5       120      828       0.6      311
Rutherford, TN...........           5.0         115.8       3.6        51      879       4.6       27
Shelby, TN...............          19.8         485.0       1.7       183      956       0.6      311
                                                                                                     
Williamson, TN...........           7.6         115.5       6.3         3    1,079       2.1      207
Bell, TX.................           5.0         114.9       2.2       147      782       1.4      276
Bexar, TX................          37.8         817.9       2.7       102      854       2.4      180
Brazoria, TX.............           5.3         104.9       5.6         5      996       4.1       37
Brazos, TX...............           4.2          94.9       3.6        51      731       1.0      298
Cameron, TX..............           6.4         137.0       1.0       256      586       0.5      317
Collin, TX...............          22.0         365.9       4.3        21    1,145       3.8       51
Dallas, TX...............          72.4       1,607.2       4.2        22    1,154       2.8      132
Denton, TX...............          13.2         219.9       5.1         6      867       3.8       51
Ector, TX................           3.9          73.2      -4.2       341    1,026      -5.1      340
                                                                                                     
El Paso, TX..............          14.5         291.3       2.5       120      674       0.3      319
Fort Bend, TX............          11.7         170.8       4.2        22      945       0.6      311
Galveston, TX............           5.8         104.3       3.6        51      865       4.0       41
Gregg, TX................           4.2          76.3      -3.3       339      844      -1.5      335
Harris, TX...............         110.5       2,295.1       1.7       183    1,232       0.0      324
Hidalgo, TX..............          11.9         244.8       1.7       183      614       1.0      298
Jefferson, TX............           5.8         124.8       1.7       183    1,001       3.1      105
Lubbock, TX..............           7.3         133.4       1.7       183      750       3.6       69
McLennan, TX.............           5.0         107.2       1.6       202      791       3.4       79
Midland, TX..............           5.4          89.3      -3.2       338    1,233      -3.2      339
                                                                                                     
Montgomery, TX...........          10.4         164.0       3.9        36      982       2.6      154
Nueces, TX...............           8.2         164.1       1.6       202      845       1.4      276
Potter, TX...............           3.9          79.3       0.8       275      772       4.3       35
Smith, TX................           6.0         100.5       4.0        32      805       1.8      240
Tarrant, TX..............          40.7         845.3       2.4       130      963       1.7      252
Travis, TX...............          36.6         690.9       4.2        22    1,090       2.9      120
Webb, TX.................           5.1          97.4       2.7       102      651       0.8      307
Williamson, TX...........           9.4         152.2       4.1        26      924       5.8       11
Davis, UT................           7.9         120.3       5.0         7      770       3.6       69
Salt Lake, UT............          41.8         645.2       3.3        71      920       3.7       65
                                                                                                     
Utah, UT.................          14.4         209.1       7.5         1      778       2.9      120
Weber, UT................           5.7          98.9       3.3        71      737       2.5      160
Chittenden, VT...........           6.5         102.2       1.5       207      950       2.0      220
Arlington, VA............           8.9         170.7       2.3       138    1,546       1.6      264
Chesterfield, VA.........           8.2         130.5       2.9        93      833       1.8      240
Fairfax, VA..............          35.4         593.9       1.4       220    1,517       3.9       45
Henrico, VA..............          10.6         186.0       2.5       120      921       2.2      198
Loudoun, VA..............          10.9         155.9       2.7       102    1,108       1.7      252
Prince William, VA.......           8.6         124.4       1.8       172      837       2.1      207
Alexandria City, VA......           6.3          97.1       1.4       220    1,324       0.5      317
                                                                                                     
Chesapeake City, VA......           5.8          97.9       0.6       291      780       3.9       45
Newport News City, VA....           3.7          98.0      -0.5       328      921      -0.6      331
Norfolk City, VA.........           5.6         139.7       0.3       308      948       1.5      270
Richmond City, VA........           7.2         149.9       2.0       160    1,039       2.5      160
Virginia Beach City, VA..          11.4         178.3       1.2       235      744       2.2      198
Benton, WA...............           5.6          89.0       3.5        59      977       3.2       96
Clark, WA................          13.9         145.8       4.1        26      879       2.1      207
King, WA.................          84.2       1,285.2       3.8        42    1,288       3.9       45
Kitsap, WA...............           6.6          85.6       2.6       113      860       2.0      220
Pierce, WA...............          21.5         287.9       3.2        76      880       2.0      220
                                                                                                     
Snohomish, WA............          20.1         277.6       2.7       102    1,036       2.0      220
Spokane, WA..............          15.4         212.2       2.5       120      810       1.8      240
Thurston, WA.............           7.9         106.8       4.0        32      878       3.3       87
Whatcom, WA..............           7.1          87.7       2.8        96      804       4.4       32
Yakima, WA...............           7.8         121.6       3.6        51      660       2.5      160
Kanawha, WV..............           5.9         103.8      -1.0       333      848       2.4      180
Brown, WI................           6.6         154.4       1.0       256      856       5.5       12
Dane, WI.................          14.6         323.8       1.5       207      982       3.4       79
Milwaukee, WI............          25.7         485.0       0.9       265      921       1.3      285
Outagamie, WI............           5.1         107.0       0.8       275      798       2.3      194
                                                                                                     
Waukesha, WI.............          12.5         239.3       1.5       207      948       2.6      154
Winnebago, WI............           3.6          90.8       0.3       308      883       1.0      298
San Juan, PR.............          10.7         245.8      -2.6       (6)      614       2.5      (6)
 
(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 quarterly 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) Data do not meet BLS or state agency disclosure standards.
(6) 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 342 U.S. counties comprise 72.1 percent of
the total covered workers in the U.S.

Table 2. Covered establishments, employment, and wages in the 10 largest counties,
second quarter 2015

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter 
         County by NAICS supersector                2015                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2015       June     quarter  second
                                                              (thousands) 2014-15(2)   2015    quarter
                                                                                             2014-15(2)


United States(3) ............................       9,575.3     140,594.9       2.0     $968       3.0
  Private industry...........................       9,276.4     119,288.6       2.3      959       3.1
    Natural resources and mining.............         138.0       2,120.1      -3.3    1,053      -1.9
    Construction.............................         767.1       6,569.2       4.6    1,045       3.3
    Manufacturing............................         342.2      12,372.6       1.0    1,181       2.4
    Trade, transportation, and utilities.....       1,925.3      26,688.8       2.3      821       2.9
    Information..............................         152.6       2,761.1       1.0    1,671       3.9
    Financial activities.....................         847.1       7,862.3       1.9    1,461       4.8
    Professional and business services.......       1,727.1      19,644.7       2.6    1,257       4.2
    Education and health services............       1,522.6      20,963.7       2.3      879       2.3
    Leisure and hospitality..................         809.6      15,658.4       2.6      403       3.9
    Other services...........................         827.9       4,369.9       1.5      658       3.3
  Government.................................         298.8      21,306.3       0.5    1,017       2.2

Los Angeles, CA..............................         452.5       4,232.7       2.0    1,058       3.6
  Private industry...........................         446.6       3,670.0       2.0    1,025       3.6
    Natural resources and mining.............           0.5           9.0      -2.3    1,259       0.6
    Construction.............................          13.5         125.7       5.2    1,110       5.2
    Manufacturing............................          12.4         358.9      -1.4    1,133       1.9
    Trade, transportation, and utilities.....          53.4         795.8       1.5      888       3.9
    Information..............................           9.7         199.6       1.8    1,871       2.2
    Financial activities.....................          24.7         211.5       0.5    1,665       4.3
    Professional and business services.......          47.6         588.2       0.9    1,312       5.5
    Education and health services............         208.1         721.4       2.4      818       2.9
    Leisure and hospitality..................          31.4         486.9       2.4      591       7.1
    Other services...........................          27.8         145.6       0.2      673       5.3
  Government.................................           5.9         562.7       2.0    1,277       3.5

New York, NY.................................         129.7       2,378.9       2.3    1,842       3.3
  Private industry...........................         128.9       2,119.6       2.5    1,920       3.3
    Natural resources and mining.............           0.0           0.2      -5.6    2,162      -6.5
    Construction.............................           2.2          37.1       6.2    1,724       2.2
    Manufacturing............................           2.2          27.1       0.5    1,307      -0.5
    Trade, transportation, and utilities.....          20.4         260.8       0.7    1,328       2.0
    Information..............................           4.9         152.7       1.4    2,406      -1.4
    Financial activities.....................          19.2         370.2       1.4    3,599       5.4
    Professional and business services.......          27.4         547.3       4.0    2,164       4.1
    Education and health services............           9.8         325.7       2.1    1,213       2.8
    Leisure and hospitality..................          13.9         289.8       2.5      815       2.9
    Other services...........................          20.5         101.3       1.8    1,091       1.6
  Government.................................           0.8         259.3       0.9    1,211       1.7

Cook, IL.....................................         164.0       2,548.6       1.5    1,116       2.5
  Private industry...........................         162.6       2,247.6       1.6    1,099       2.4
    Natural resources and mining.............           0.1           1.0      12.2    1,182       7.6
    Construction.............................          13.6          74.2       6.3    1,363       4.4
    Manufacturing............................           6.8         187.8       0.1    1,133       1.0
    Trade, transportation, and utilities.....          32.4         469.6       2.1      892       1.2
    Information..............................           2.8          54.5       0.1    1,699       2.6
    Financial activities.....................          16.4         187.2       0.4    1,974       5.3
    Professional and business services.......          35.1         464.6       1.5    1,397       1.1
    Education and health services............          17.0         432.2       1.5      926       2.8
    Leisure and hospitality..................          14.8         274.6       2.5      502       5.9
    Other services...........................          18.6          96.9      -1.0      848       4.0
  Government.................................           1.3         301.0       0.7    1,242       3.1

Harris, TX...................................         110.5       2,295.1       1.7    1,232       0.0
  Private industry...........................         110.0       2,029.8       1.7    1,255      -0.4
    Natural resources and mining.............           1.8          86.9      -6.9    3,187      -1.8
    Construction.............................           7.0         163.5       5.3    1,268       0.1
    Manufacturing............................           4.8         191.1      -3.9    1,512       0.1
    Trade, transportation, and utilities.....          24.8         475.3       2.6    1,121       1.7
    Information..............................           1.2          27.9      -0.5    1,453       3.8
    Financial activities.....................          11.4         120.4       1.4    1,536       2.1
    Professional and business services.......          22.4         396.3       0.8    1,514      -0.7
    Education and health services............          15.1         277.4       4.5      958       2.9
    Leisure and hospitality..................           9.4         224.5       4.3      429       2.4
    Other services...........................          11.7          65.6       2.3      753       1.5
  Government.................................           0.6         265.3       1.8    1,057       2.9

Maricopa, AZ.................................          95.3       1,774.4       3.2      948       1.7
  Private industry...........................          94.5       1,595.0       3.5      932       1.6
    Natural resources and mining.............           0.5           8.5       1.9      868       6.2
    Construction.............................           7.2          96.1       2.0      970       2.8
    Manufacturing............................           3.2         115.5      -0.1    1,381       1.7
    Trade, transportation, and utilities.....          19.9         356.3       3.1      853       2.2
    Information..............................           1.6          35.3       4.2    1,220      -2.6
    Financial activities.....................          11.1         158.8       4.4    1,218       5.7
    Professional and business services.......          21.9         304.5       2.8    1,024       2.0
    Education and health services............          10.8         266.6       4.2      950      -0.1
    Leisure and hospitality..................           7.6         198.0       3.7      432      -1.1
    Other services...........................           6.3          49.7       4.5      671       3.1
  Government.................................           0.7         179.5       0.5    1,075       2.0

Dallas, TX...................................          72.4       1,607.2       4.2    1,154       2.8
  Private industry...........................          71.8       1,438.3       4.4    1,162       2.7
    Natural resources and mining.............           0.6           9.5       0.9    4,023       3.2
    Construction.............................           4.2          81.6       6.2    1,097       2.3
    Manufacturing............................           2.7         106.1      -0.3    1,269      -3.7
    Trade, transportation, and utilities.....          15.6         326.4       5.6    1,039       3.2
    Information..............................           1.4          48.1      -0.2    1,739       3.1
    Financial activities.....................           8.8         155.8       2.1    1,606       5.2
    Professional and business services.......          16.2         326.1       4.9    1,362       5.0
    Education and health services............           8.9         186.4       5.0      997       1.6
    Leisure and hospitality..................           6.2         155.6       6.7      467       3.8
    Other services...........................           6.8          42.1       1.8      748       1.1
  Government.................................           0.5         168.8       2.5    1,085       3.4

Orange, CA...................................         111.2       1,519.8       2.7    1,086       4.9
  Private industry...........................         109.9       1,369.2       2.8    1,075       5.1
    Natural resources and mining.............           0.2           3.2      -8.2      800       4.3
    Construction.............................           6.5          88.4       7.0    1,185       2.8
    Manufacturing............................           4.9         155.2       0.4    1,328       6.8
    Trade, transportation, and utilities.....          16.7         253.6       0.9      971       3.4
    Information..............................           1.3          25.1      -0.1    1,665       2.9
    Financial activities.....................          10.8         115.6       2.1    1,659       9.4
    Professional and business services.......          20.4         280.1       1.5    1,337       7.0
    Education and health services............          28.4         190.4       3.6      910       2.1
    Leisure and hospitality..................           8.1         203.4       3.4      454       3.9
    Other services...........................           7.0          44.6       2.3      665       3.4
  Government.................................           1.4         150.6       2.1    1,178       3.2

San Diego, CA................................         103.6       1,374.7       2.7    1,073       3.1
  Private industry...........................         101.8       1,147.1       3.0    1,057       3.4
    Natural resources and mining.............           0.7           9.5      -3.0      672      -3.6
    Construction.............................           6.5          68.9       8.5    1,103       4.2
    Manufacturing............................           3.1         104.2       2.8    1,601      12.0
    Trade, transportation, and utilities.....          14.1         214.3       0.9      823       4.0
    Information..............................           1.2          23.6      -4.1    1,608       0.0
    Financial activities.....................           9.5          70.4       1.9    1,351       9.6
    Professional and business services.......          18.0         227.3       2.5    1,603      -0.9
    Education and health services............          28.6         184.6       3.0      900       0.9
    Leisure and hospitality..................           7.8         186.4       2.7      462       6.9
    Other services...........................           7.4          49.9       2.0      582       4.7
  Government.................................           1.8         227.6       1.5    1,158       2.2

King, WA.....................................          84.2       1,285.2       3.8    1,288       3.9
  Private industry...........................          83.7       1,119.3       3.9    1,296       4.1
    Natural resources and mining.............           0.4           2.9      17.6    1,325       2.9
    Construction.............................           6.2          63.7      12.4    1,230       2.9
    Manufacturing............................           2.4         106.4       0.1    1,544       2.0
    Trade, transportation, and utilities.....          14.6         240.6       4.2    1,182       6.3
    Information..............................           2.0          89.0       3.2    2,596       5.6
    Financial activities.....................           6.4          66.2       1.6    1,553       7.0
    Professional and business services.......          16.3         212.5       6.0    1,533       2.8
    Education and health services............          19.7         163.3       1.8      955       2.8
    Leisure and hospitality..................           6.9         132.0       3.8      516       3.2
    Other services...........................           8.8          42.8       3.4      818       2.5
  Government.................................           0.5         165.9       2.7    1,235       2.5

Miami-Dade, FL...............................          96.7       1,061.4       3.5      931       2.1
  Private industry...........................          96.3         939.7       4.0      896       2.4
    Natural resources and mining.............           0.5           7.4       0.7      556       0.4
    Construction.............................           5.7          39.0       9.3      899       3.8
    Manufacturing............................           2.8          38.9       3.2      879       3.7
    Trade, transportation, and utilities.....          27.7         275.5       3.1      832       0.1
    Information..............................           1.5          17.7      -2.8    1,493       1.4
    Financial activities.....................          10.1          73.3       3.9    1,454       4.7
    Professional and business services.......          20.3         146.4       5.9    1,068       1.9
    Education and health services............          10.1         165.5       2.4      920       2.9
    Leisure and hospitality..................           7.3         132.9       3.3      551       7.6
    Other services...........................           8.4          40.5       6.7      587       1.0
  Government.................................           0.3         121.7       0.2    1,179       0.9
 
(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 2014 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 2015


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2015                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2015       June    quarter  second
                                            (thousands)   2014-15    2015   quarter
                                                                            2014-15

                                                                                   
United States(2)...........       9,575.3     140,594.9       2.0     $968      3.0
                                                                                   
Alabama....................         118.5       1,899.3       1.3      819      1.6
Alaska.....................          22.3         346.6       0.4    1,028      2.4
Arizona....................         151.1       2,549.9       2.5      904      1.8
Arkansas...................          88.6       1,184.6       1.7      762      2.1
California.................       1,420.0      16,338.9       2.8    1,131      5.5
Colorado...................         185.4       2,517.1       3.2      989      3.0
Connecticut................         115.4       1,693.1       0.9    1,177      2.0
Delaware...................          30.5         439.1       2.2      991      1.5
District of Columbia.......          37.2         745.1       1.8    1,599      1.8
Florida....................         658.3       7,907.7       3.6      861      2.6
                                                                                   
Georgia....................         289.2       4,167.8       3.4      903      2.4
Hawaii.....................          39.5         635.9       1.6      876      3.8
Idaho......................          55.4         678.5       2.9      713      2.3
Illinois...................         428.3       5,925.5       1.5    1,015      2.6
Indiana....................         159.7       2,966.0       1.7      811      3.4
Iowa.......................         100.6       1,561.2       0.9      802      2.8
Kansas.....................          86.8       1,382.1       0.7      819      2.8
Kentucky...................         121.7       1,850.5       1.7      822      3.0
Louisiana..................         126.5       1,930.6       0.5      850      0.8
Maine......................          50.6         615.8       0.8      768      2.9
                                                                                   
Maryland...................         167.3       2,631.3       1.4    1,046      2.6
Massachusetts..............         239.5       3,488.3       2.1    1,211      4.7
Michigan...................         237.7       4,225.0       1.5      916      2.1
Minnesota..................         164.1       2,826.3       1.5      977      3.2
Mississippi................          71.9       1,114.7       1.1      709      0.6
Missouri...................         191.1       2,746.6       1.7      842      2.8
Montana....................          45.4         461.5       1.8      754      2.7
Nebraska...................          71.5         968.7       1.2      787      4.1
Nevada.....................          78.4       1,248.1       3.2      855      2.6
New Hampshire..............          50.7         647.7       1.5      967      1.3
                                                                                   
New Jersey.................         266.9       4,000.2       1.5    1,126      2.6
New Mexico.................          56.1         808.4       0.8      805      1.4
New York...................         636.6       9,136.9       1.9    1,180      3.1
North Carolina.............         266.0       4,185.6       2.6      850      3.9
North Dakota...............          32.1         445.0      -1.8      939      0.3
Ohio.......................         290.2       5,308.1       1.4      865      2.4
Oklahoma...................         108.8       1,591.5       0.6      818      0.5
Oregon.....................         143.1       1,810.4       3.4      899      3.0
Pennsylvania...............         354.1       5,763.9       0.8      958      2.7
Rhode Island...............          36.4         480.0       1.5      925      2.9
                                                                                   
South Carolina.............         121.2       1,963.5       2.5      782      2.1
South Dakota...............          32.4         428.6       1.3      740      3.9
Tennessee..................         149.7       2,832.1       2.8      863      3.1
Texas......................         635.0      11,689.4       2.4      988      1.5
Utah.......................          92.9       1,345.9       3.9      821      3.1
Vermont....................          24.7         309.3       0.6      831      2.2
Virginia...................         247.6       3,767.2       1.7    1,000      2.5
Washington.................         235.5       3,197.6       3.3    1,026      3.1
West Virginia..............          50.1         706.5      -0.8      803      1.4
Wisconsin..................         166.7       2,839.8       1.0      836      2.6
                                                                                   
Wyoming....................          26.1         291.5      -1.5      869     -0.1
                                                                                   
Puerto Rico................          46.1         884.6      -1.4      513      2.0
Virgin Islands.............           3.4          37.9       0.1      748      2.2
 
(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 17, 2015
Recommend this page using: