Economic News Release

County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, March 19, 2015		USDL-15-0427

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

COUNTY EMPLOYMENT AND WAGES
Third Quarter 2014

From September 2013 to September 2014, employment increased in 306 of the 339 largest U.S. 
counties, the U.S. Bureau of Labor Statistics reported today. Weld, Colo., had the largest increase, with 
a gain of 8.8 percent over the year, compared with national job growth of 2.0 percent. Within Weld, the 
largest employment increase occurred in natural resources and mining, which gained 2,299 jobs over the 
year (22.1 percent). Atlantic, N.J., had the largest over-the-year decrease in employment among the 
largest counties in the U.S. with a loss of 4.0 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 2.9 percent over the year, growing to $949 in the third quarter 
of 2014. Olmsted, Minn., had the largest over-the-year increase in average weekly wages with a gain of 
11.1 percent. Within Olmsted, an average weekly wage gain of $238, or 19.7 percent, in education and 
health services made the largest contribution to the county’s increase in average weekly wages. Collier, 
Fla., experienced the largest decrease in average weekly wages with a loss of 3.9 percent over the year.

Table A.  Large counties ranked by September 2014 employment, September 2013-14 employment 
increase, and September 2013-14 percent increase in employment

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
     September 2014 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |         September 2013-14        |         September 2013-14
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           137,724.1| United States             2,708.5| United States                 2.0
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,184.4| Los Angeles, Calif.          87.6| Weld, Colo.                   8.8
 New York, N.Y.            2,494.4| Harris, Texas                79.2| Benton, Ark.                  7.4
 Cook, Ill.                2,481.9| New York, N.Y.               65.7| Midland, Texas                7.4
 Harris, Texas             2,269.5| Dallas, Texas                53.1| Lee, Fla.                     6.1
 Maricopa, Ariz.           1,756.8| King, Wash.                  41.5| Sarasota, Fla.                6.1
 Dallas, Texas             1,558.5| Santa Clara, Calif.          41.4| Adams, Colo.                  5.7
 Orange, Calif.            1,475.0| Clark, Nev.                  39.8| Kings, N.Y.                   5.4
 San Diego, Calif.         1,344.5| Maricopa, Ariz.              34.1| Williamson, Tenn.             5.4
 King, Wash.               1,252.8| Orange, Calif.               32.6| San Francisco, Calif.         5.1
 Miami-Dade, Fla.          1,047.0| San Francisco, Calif.        31.4| Fort Bend, Texas              5.1
                                  |                                  | Montgomery, Texas             5.1
--------------------------------------------------------------------------------------------------------

Large County Employment

In September 2014, national employment was 137.7 million (as measured by the QCEW program). Over 
the year, employment increased 2.0 percent, or 2.7 million. The 339 U.S. counties with 75,000 or more 
jobs accounted for 71.8 percent of total U.S. employment and 76.9 percent of total wages. These 339 
counties had a net job growth of 2.0 million over the year, accounting for 74.1 percent of the overall 
U.S. employment increase.

Weld, Colo., had the largest percentage increase in employment (8.8 percent) among the largest U.S. 
counties. The five counties with the largest increases in employment level were Los Angeles, Calif.; 
Harris, Texas; New York, N.Y.; Dallas, Texas; and King, Wash. These counties had a combined over-
the-year employment gain of 327,100 jobs, which was 12.1 percent of the overall job increase for the 
U.S. (See table A.)

Employment declined in 25 of the largest counties from September 2013 to September 2014. Atlantic, 
N.J., had the largest over-the-year percentage decrease in employment (-4.0 percent). Within Atlantic, 
leisure and hospitality had the largest decrease in employment, with a loss of 5,853 jobs (-12.0 percent). 
Passaic, N.J., had the second largest percentage decrease in employment, followed by McLean, Ill.; 
Peoria, Ill.; and Burlington, N.J. (See table 1.)

Table B.  Large counties ranked by third quarter 2014 average weekly wages, third quarter 2013-14
increase in average weekly wages, and third quarter 2013-14 percent increase in average weekly wages 

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
         third quarter 2014       |    wage, third quarter 2013-14   |         weekly wage, third
                                  |                                  |          quarter 2013-14
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States                $949| United States                 $27| United States                 2.9
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Santa Clara, Calif.        $2,012| Santa Clara, Calif.          $138| Olmsted, Minn.               11.1
 San Mateo, Calif.           1,824| San Francisco, Calif.         134| San Francisco, Calif.         8.6
 New York, N.Y.              1,733| San Mateo, Calif.             121| Santa Clara, Calif.           7.4
 San Francisco, Calif.       1,685| Olmsted, Minn.                108| San Mateo, Calif.             7.1
 Washington, D.C.            1,631| Suffolk, Mass.                 84| Brazoria, Texas               7.1
 Arlington, Va.              1,545| Midland, Texas                 80| Midland, Texas                6.8
 Suffolk, Mass.              1,515| Washington, Ore.               71| Washington, Ore.              6.2
 King, Wash.                 1,452| Arlington, Va.                 71| Howard, Md.                   6.0
 Fairfax, Va.                1,447| King, Wash.                    71| Hamilton, Ohio                6.0
 Fairfield, Conn.            1,400| Howard, Md.                    67| Suffolk, Mass.                5.9
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $949, a 2.9 percent increase, during the year ending in 
the third quarter of 2014. Among the 339 largest counties, 328 had over-the-year increases in average 
weekly wages. Olmsted, Minn., had the largest wage increase among the largest U.S. counties (11.1 
percent).

Of the 339 largest counties, 10 experienced over-the-year decreases in average weekly wages. Collier, 
Fla., had the largest percentage decrease in average weekly wages, with a loss of 3.9 percent. Within 
Collier, professional and business services had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $498 (-33.2 percent) over the year. 
Dane, Wis., had the second largest percentage decrease in average weekly wages, followed by 
Williamson, Texas; Hamilton, Ind.; and Shawnee, Kan. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in September 
2014. Harris, Texas, had the largest gain (3.6 percent). Within Harris, trade, transportation, and utilities 
had the largest over-the-year employment level increase among all private industry groups with a gain of 
15,547 jobs, or 3.4 percent. Cook, Ill., had the smallest percentage increase in employment (1.2 percent) 
among the 10 largest counties. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Wash., 
experienced the largest percentage gain in average weekly wages (5.1 percent). Within King, 
information had the largest impact on the county’s average weekly wage growth. Within this industry, 
average weekly wages increased by $437, or 9.3 percent, over the year. San Diego, Calif., had the 
smallest increase in average weekly wages (0.8 percent) among the 10 largest counties.

For More Information

The tables included in this release contain data for the nation and for the 339 U.S. counties with annual 
average employment levels of 75,000 or more in 2013. September 2014 employment and 2014 third 
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 9.4 million employer reports cover 137.7 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 
third quarter of 2014 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 fourth quarter 2014 is scheduled to be released 
on Wednesday, June 17, 2015.






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 2014 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 340 counties 
presented in this release were derived using 2013 preliminary annual averages of employment. For 
2014 data, five counties have been added to the publication tables: Shelby, Ala.; Osceola, Fla.; 
Black Hawk, Iowa; Washington, Minn.; and Cleveland, Okla. These counties will be included in 
all 2014 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 9.4   |  ministrative records|  ments
            |  million establish- |  submitted by 7.5    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2014    |  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|  -8 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 9.2 
million employer reports of employment and wages submitted by states to the BLS in 2013. 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 2013, UI and UCFE programs 
covered workers in 134.0 million jobs. The estimated 128.7 million workers in these jobs (after 
adjustment for multiple jobholders) represented 95.8 percent of civilian wage and salary 
employment. Covered workers received $6.673 trillion in pay, representing 93.7 percent of the 
wage and salary component of personal income and 39.8 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 2013 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. Beginning with the first quarter of 2008, 
adjusted data account for administrative changes caused by multi-unit employers who start 
reporting for each individual establishment rather than as a single entity. Beginning with the 
second quarter of 2011, adjusted data account for selected large administrative changes in 
employment and wages. Beginning with the third quarter of 2014, adjusted data account for state 
verified improvements in reporting of employment and wages. 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 2013 edition 
of this publication, which was published in September 2014, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2014 version of this news release. Tables and additional content from Employment and 
Wages Annual Averages 2013 are now available online at 
http://www.bls.gov/cew/cewbultn13.htm. The 2014 edition of Employment and Wages Annual 
Averages Online will be available in September 2015.

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 340 largest counties,
third quarter 2014

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          third quarter                Percent    Ranking            Percent   Ranking
                                2014       September    change,      by      Third    change,     by
                            (thousands)       2014     September   percent  quarter    third    percent
                                          (thousands)  2013-14(3)  change     2014    quarter   change
                                                                                     2013-14(3)
                                                                                                     
United States(4).........       9,419.7     137,724.1       2.0        -      $949       2.9       - 
                                                                                                     
Jefferson, AL............          17.8         339.0       0.4       282      956       3.7       55
Madison, AL..............           9.1         183.2       1.0       228    1,036       4.0       40
Mobile, AL...............           9.6         165.7       1.0       228      820       1.6      274
Montgomery, AL...........           6.3         128.1       0.5       276      810       1.8      257
Shelby, AL...............           5.1          80.1       2.7        96      868       2.0      231
Tuscaloosa, AL...........           4.3          90.6       4.5        17      814       1.1      293
Anchorage Borough, AK....           8.4         156.2      -0.2       318    1,066       3.2       91
Maricopa, AZ.............          93.4       1,756.8       2.0       145      914       1.8      257
Pima, AZ.................          18.7         352.4       0.1       299      818       2.9      125
Benton, AR...............           5.7         106.5       7.4         2      926       0.5      317
                                                                                                     
Pulaski, AR..............          14.3         242.9       0.2       293      849       2.3      194
Washington, AR...........           5.7          96.8       1.5       171      774       0.3      325
Alameda, CA..............          57.5         706.5       3.2        65    1,247       4.2       31
Contra Costa, CA.........          29.9         342.7       2.2       128    1,142       2.1      223
Fresno, CA...............          31.1         365.4       1.0       228      747       3.2       91
Kern, CA.................          17.3         326.4       2.2       128      819       3.8       50
Los Angeles, CA..........         442.4       4,184.4       2.1       137    1,036       3.1      103
Marin, CA................          12.1         111.3       3.0        77    1,120       3.9       44
Monterey, CA.............          12.9         197.1       4.0        34      797       1.0      300
Orange, CA...............         108.0       1,475.0       2.3       119    1,050       2.6      154
                                                                                                     
Placer, CA...............          11.4         143.7       3.8        42      937       2.9      125
Riverside, CA............          53.6         626.4       4.4        19      756       2.6      154
Sacramento, CA...........          52.7         618.0       3.3        61    1,050       2.0      231
San Bernardino, CA.......          51.4         658.1       4.1        29      793       2.7      140
San Diego, CA............         100.8       1,344.5       2.3       119    1,030       0.8      306
San Francisco, CA........          57.6         648.6       5.1         9    1,685       8.6        2
San Joaquin, CA..........          16.7         224.0       3.6        51      799       1.4      286
San Luis Obispo, CA......           9.8         110.8       3.8        42      785       2.2      206
San Mateo, CA............          26.1         375.4       4.4        19    1,824       7.1        4
Santa Barbara, CA........          14.6         194.6       3.3        61      901       2.3      194
                                                                                                     
Santa Clara, CA..........          66.2         986.6       4.4        19    2,012       7.4        3
Santa Cruz, CA...........           9.2         100.8       2.1       137      837       2.6      154
Solano, CA...............          10.3         128.3       2.1       137      958       4.1       38
Sonoma, CA...............          18.9         195.1       3.5        54      896       1.9      244
Stanislaus, CA...........          14.4         177.6       2.5       107      801       1.9      244
Tulare, CA...............           9.2         151.6       2.8        86      667       3.6       61
Ventura, CA..............          24.9         310.7       1.2       199      945       2.1      223
Yolo, CA.................           6.1         101.2       0.8       248      972       4.5       23
Adams, CO................           9.4         185.4       5.7         6      924       2.8      129
Arapahoe, CO.............          19.7         307.9       2.8        86    1,096       2.7      140
                                                                                                     
Boulder, CO..............          13.7         170.1       2.8        86    1,129       3.0      117
Denver, CO...............          28.0         467.4       4.9        13    1,175       4.6       22
Douglas, CO..............          10.3         107.9       3.7        48    1,037       0.4      323
El Paso, CO..............          17.2         250.4       1.8       153      859       2.3      194
Jefferson, CO............          18.2         223.8       3.2        65      951       3.0      117
Larimer, CO..............          10.6         143.7       3.8        42      859       3.4       74
Weld, CO.................           6.3         100.7       8.8         1      869       4.3       28
Fairfield, CT............          34.1         420.4       0.8       248    1,400       1.7      264
Hartford, CT.............          26.4         503.0       1.0       228    1,123       0.0      329
New Haven, CT............          23.1         361.2       0.7       263      987       2.0      231
                                                                                                     
New London, CT...........           7.1         122.3      -0.6       330      927       2.0      231
New Castle, DE...........          18.3         278.7       2.3       119    1,074       1.9      244
Washington, DC...........          36.3         732.9       1.5       171    1,631       3.8       50
Alachua, FL..............           6.7         121.5       2.5       107      790       3.4       74
Brevard, FL..............          14.9         190.0       1.7       162      851       1.2      291
Broward, FL..............          66.5         739.9       2.8        86      869       2.2      206
Collier, FL..............          12.7         123.9       4.3        24      806      -3.9      339
Duval, FL................          27.7         456.5       1.3       192      890       2.8      129
Escambia, FL.............           8.2         124.9       2.1       137      733       3.2       91
Hillsborough, FL.........          39.7         620.0       2.9        83      891       2.6      154
                                                                                                     
Lake, FL.................           7.7          86.2       2.8        86      656       2.5      165
Lee, FL..................          20.1         223.2       6.1         4      743       1.6      274
Leon, FL.................           8.4         142.2       2.8        86      771       1.7      264
Manatee, FL..............          10.0         106.5       3.1        73      706       1.0      300
Marion, FL...............           8.1          94.9       3.2        65      644       1.1      293
Miami-Dade, FL...........          94.3       1,047.0       3.0        77      891       2.2      206
Okaloosa, FL.............           6.2          78.2       0.1       299      779       2.8      129
Orange, FL...............          38.7         735.7       3.6        51      821       2.1      223
Osceola, FL..............           6.1          80.9       3.0        77      656       2.2      206
Palm Beach, FL...........          52.6         538.4       3.9        36      903       1.9      244
                                                                                                     
Pasco, FL................          10.3         105.7       4.2        26      650       2.7      140
Pinellas, FL.............          31.7         397.8       2.1       137      826       2.5      165
Polk, FL.................          12.7         196.2       1.9       147      730       1.5      282
Sarasota, FL.............          15.1         152.5       6.1         4      754       1.3      290
Seminole, FL.............          14.2         169.0       4.1        29      777       1.8      257
Volusia, FL..............          13.7         156.2       2.6       102      664       2.3      194
Bibb, GA.................           4.5          81.8       1.8       153      737       1.5      282
Chatham, GA..............           8.2         141.8       4.4        19      800       1.7      264
Clayton, GA..............           4.3         113.0       2.4       113      892       1.9      244
Cobb, GA.................          22.6         325.4       3.8        42      988       2.7      140
                                                                                                     
De Kalb, GA..............          18.8         283.6       3.4        57      947       0.9      304
Fulton, GA...............          44.4         772.1       3.5        54    1,236       3.2       91
Gwinnett, GA.............          25.3         327.9       3.8        42      932       3.4       74
Muscogee, GA.............           4.8          94.4       0.5       276      744       2.1      223
Richmond, GA.............           4.7         102.5       3.0        77      800       1.5      282
Honolulu, HI.............          24.9         456.1       0.8       248      906       4.0       40
Ada, ID..................          14.1         210.3       1.1       212      831       2.1      223
Champaign, IL............           4.5          90.0       1.3       192      850       1.7      264
Cook, IL.................         158.3       2,481.9       1.2       199    1,071       2.0      231
Du Page, IL..............          39.2         601.5       0.9       241    1,067       1.7      264
                                                                                                     
Kane, IL.................          14.1         206.8       0.7       263      831       3.4       74
Lake, IL.................          23.3         333.9      -0.4       323    1,180       2.4      183
McHenry, IL..............           9.1          97.3       1.7       162      782       3.0      117
McLean, IL...............           3.9          84.0      -1.2       336      892       0.3      325
Madison, IL..............           6.2          98.1       2.4       113      771       1.6      274
Peoria, IL...............           4.8         100.0      -1.2       336      870       1.6      274
St. Clair, IL............           5.7          92.1      -0.7       332      769       2.5      165
Sangamon, IL.............           5.5         128.8       1.2       199      983       3.1      103
Will, IL.................          16.4         218.0       1.2       199      835       2.6      154
Winnebago, IL............           7.0         128.0       1.5       171      798       2.8      129
                                                                                                     
Allen, IN................           8.8         179.2       1.3       192      775       2.0      231
Elkhart, IN..............           4.7         121.3       3.7        48      778       2.6      154
Hamilton, IN.............           8.8         127.7       4.1        29      891      -0.7      336
Lake, IN.................          10.2         187.3      -0.4       323      848       1.1      293
Marion, IN...............          23.4         580.5       0.9       241      947       0.2      327
St. Joseph, IN...........           5.8         118.8       1.4       184      772       3.1      103
Tippecanoe, IN...........           3.3          81.9       2.6       102      800       4.4       26
Vanderburgh, IN..........           4.7         106.0       2.0       145      759       2.6      154
Black Hawk, IA...........           3.8          75.9       0.1       299      802       3.1      103
Johnson, IA..............           4.0          81.1       0.4       282      891       2.2      206
                                                                                                     
Linn, IA.................           6.5         128.6       0.5       276      915       3.5       66
Polk, IA.................          16.5         287.2       1.7       162      958       3.5       66
Scott, IA................           5.5          90.4       1.1       212      764       1.1      293
Johnson, KS..............          21.6         328.7       2.4       113      955       2.5      165
Sedgwick, KS.............          12.4         245.5       1.2       199      825       1.4      286
Shawnee, KS..............           4.8          97.7       1.5       171      769      -0.4      335
Wyandotte, KS............           3.3          88.3       4.1        29      914       3.9       44
Boone, KY................           4.2          78.7       3.3        61      803       0.5      317
Fayette, KY..............          10.4         184.8       0.8       248      844       0.7      310
Jefferson, KY............          24.4         446.1       2.5       107      897       2.3      194
                                                                                                     
Caddo, LA................           7.3         114.1      -0.4       323      788       3.7       55
Calcasieu, LA............           4.9          88.6       4.0        34      849       5.5       13
East Baton Rouge, LA.....          14.6         271.7       2.3       119      889       1.0      300
Jefferson, LA............          13.5         191.4       0.5       276      855       2.2      206
Lafayette, LA............           9.2         142.1       1.1       212      949       4.4       26
Orleans, LA..............          11.6         186.4       3.2        65      931       2.4      183
St. Tammany, LA..........           7.6          83.1       2.3       119      816       3.3       81
Cumberland, ME...........          12.7         174.8       0.8       248      832       2.3      194
Anne Arundel, MD.........          14.5         255.5       0.9       241    1,021       2.4      183
Baltimore, MD............          21.0         365.5       0.2       293      959       2.6      154
                                                                                                     
Frederick, MD............           6.3          96.1       0.8       248      905       4.0       40
Harford, MD..............           5.6          88.8       0.1       299      904       3.1      103
Howard, MD...............           9.4         161.2       0.8       248    1,183       6.0        8
Montgomery, MD...........          32.5         455.9       0.4       282    1,243       2.2      206
Prince Georges, MD.......          15.6         306.2       1.6       167    1,033       2.9      125
Baltimore City, MD.......          13.7         337.3       2.2       128    1,123       2.7      140
Barnstable, MA...........           9.2          98.9       1.4       184      782       2.2      206
Bristol, MA..............          16.5         220.5       1.7       162      839       0.8      306
Essex, MA................          22.8         316.3       1.4       184    1,000       3.4       74
Hampden, MA..............          16.6         202.2       0.7       263      860       2.4      183
                                                                                                     
Middlesex, MA............          51.4         857.9       1.8       153    1,382       1.7      264
Norfolk, MA..............          24.0         337.6       1.4       184    1,079       2.5      165
Plymouth, MA.............          14.5         185.4       1.8       153      880       2.3      194
Suffolk, MA..............          25.6         621.9       2.1       137    1,515       5.9       10
Worcester, MA............          22.6         331.4       2.3       119      949       0.7      310
Genesee, MI..............           7.0         133.7       1.2       199      777       2.5      165
Ingham, MI...............           6.1         150.5      -0.4       323      899       3.2       91
Kalamazoo, MI............           5.1         113.2       0.2       293      875       3.2       91
Kent, MI.................          13.9         363.8       2.7        96      837       3.3       81
Macomb, MI...............          17.2         307.6       1.0       228      942       2.4      183
                                                                                                     
Oakland, MI..............          38.1         693.8       1.4       184    1,028       2.2      206
Ottawa, MI...............           5.5         119.1       4.2        26      801       4.8       19
Saginaw, MI..............           4.0          83.9      -0.1       315      763       2.7      140
Washtenaw, MI............           8.0         198.9       0.9       241    1,028       3.6       61
Wayne, MI................          30.4         694.5       0.8       248    1,027       2.9      125
Anoka, MN................           6.9         118.2       1.9       147      937       3.8       50
Dakota, MN...............           9.6         181.5       1.3       192      919       3.6       61
Hennepin, MN.............          40.3         872.8       1.5       171    1,175       1.1      293
Olmsted, MN..............           3.4          92.5      -0.3       322    1,077      11.1        1
Ramsey, MN...............          13.3         326.1       0.3       290    1,057       2.7      140
                                                                                                     
St. Louis, MN............           5.3          97.6       0.5       276      827       4.2       31
Stearns, MN..............           4.2          83.6       0.7       263      793       5.7       12
Washington, MN...........           5.3          76.7       0.4       282      783       2.6      154
Harrison, MS.............           4.5          82.9      -0.2       318      694       2.5      165
Hinds, MS................           6.0         119.5       0.2       293      817       1.0      300
Boone, MO................           4.7          91.0       1.5       171      764       1.9      244
Clay, MO.................           5.2          95.0       4.1        29      838       0.4      323
Greene, MO...............           8.2         159.6       2.3       119      725       1.8      257
Jackson, MO..............          19.9         349.2       0.0       307      961       1.7      264
St. Charles, MO..........           8.6         133.6       1.4       184      763       4.8       19
                                                                                                     
St. Louis, MO............          34.1         582.5       1.1       212      993       3.7       55
St. Louis City, MO.......          11.1         224.7       1.1       212    1,031       3.1      103
Yellowstone, MT..........           6.3          79.5       1.2       199      807       3.9       44
Douglas, NE..............          18.8         326.7       1.2       199      885      -0.1      330
Lancaster, NE............          10.2         164.4       1.2       199      769       2.5      165
Clark, NV................          51.8         883.2       4.7        15      823       0.5      317
Washoe, NV...............          13.9         196.6       2.7        96      854       0.6      315
Hillsborough, NH.........          12.2         195.0       1.8       153    1,014       2.7      140
Rockingham, NH...........          10.6         142.1       1.2       199      918       5.8       11
Atlantic, NJ.............           6.6         131.2      -4.0       339      790       3.3       81
                                                                                                     
Bergen, NJ...............          32.7         439.0       0.8       248    1,106       2.0      231
Burlington, NJ...........          11.0         195.0      -1.1       335      969       0.5      317
Camden, NJ...............          11.8         198.1       2.4       113      893      -0.1      330
Essex, NJ................          20.3         327.9      -0.4       323    1,159       0.7      310
Gloucester, NJ...........           6.1         101.9       2.5       107      812      -0.1      330
Hudson, NJ...............          14.1         238.0       0.4       282    1,275       1.9      244
Mercer, NJ...............          11.0         235.6       1.5       171    1,229       3.2       91
Middlesex, NJ............          21.8         393.8       0.9       241    1,120       0.5      317
Monmouth, NJ.............          20.0         248.8       1.5       171      917       2.6      154
Morris, NJ...............          16.9         281.1       0.6       271    1,341       0.7      310
                                                                                                     
Ocean, NJ................          12.6         158.9       1.5       171      749       1.6      274
Passaic, NJ..............          12.2         164.5      -2.2       338      926       3.5       66
Somerset, NJ.............          10.0         180.8       2.2       128    1,372       2.2      206
Union, NJ................          14.2         220.6       0.3       290    1,146       1.8      257
Bernalillo, NM...........          18.2         315.5       1.1       212      826       2.2      206
Albany, NY...............          10.3         226.7       1.6       167    1,008       3.5       66
Bronx, NY................          17.7         254.0       3.1        73      901       0.9      304
Broome, NY...............           4.6          88.2       0.0       307      737       1.9      244
Dutchess, NY.............           8.5         109.4       0.2       293      943       2.3      194
Erie, NY.................          24.6         461.2       0.6       271      836       2.8      129
                                                                                                     
Kings, NY................          57.5         569.3       5.4         7      789       4.1       38
Monroe, NY...............          18.6         376.9       0.7       263      905       0.1      328
Nassau, NY...............          53.5         606.5       1.3       192    1,022       3.2       91
New York, NY.............         127.7       2,494.4       2.7        96    1,733       3.8       50
Oneida, NY...............           5.4         103.5       0.0       307      746       3.2       91
Onondaga, NY.............          13.1         242.9       0.0       307      856       1.9      244
Orange, NY...............          10.2         137.6       1.8       153      777       2.5      165
Queens, NY...............          50.0         558.8       3.9        36      884       2.8      129
Richmond, NY.............           9.6          98.9       1.0       228      805       0.6      315
Rockland, NY.............          10.3         116.6       2.5       107      955      -0.1      330
                                                                                                     
Saratoga, NY.............           5.8          81.2       0.4       282      844       3.6       61
Suffolk, NY..............          52.1         640.3       0.8       248    1,031       3.1      103
Westchester, NY..........          36.6         413.6       1.2       199    1,196       3.1      103
Buncombe, NC.............           8.2         120.2       1.9       147      731       2.5      165
Catawba, NC..............           4.3          81.5       1.3       192      715       2.7      140
Cumberland, NC...........           6.2         116.5      -0.8       334      748       1.1      293
Durham, NC...............           7.6         188.7       1.5       171    1,219       2.4      183
Forsyth, NC..............           9.1         179.0       1.1       212      889       5.0       17
Guilford, NC.............          14.2         270.9       0.8       248      843       4.2       31
Mecklenburg, NC..........          33.8         612.5       4.2        26    1,071       1.7      264
                                                                                                     
New Hanover, NC..........           7.4         104.1       3.2        65      750       1.1      293
Wake, NC.................          30.6         491.8       3.1        73      953       1.9      244
Cass, ND.................           6.7         116.3       4.4        19      897       4.3       28
Butler, OH...............           7.5         143.5       2.2       128      827       3.5       66
Cuyahoga, OH.............          35.5         707.9       0.1       299      974       1.8      257
Delaware, OH.............           4.7          82.5      -0.7       332      921       2.7      140
Franklin, OH.............          30.3         709.8       2.5       107      948       2.4      183
Hamilton, OH.............          23.3         502.1       1.2       199    1,073       6.0        8
Lake, OH.................           6.3          94.8       0.8       248      786       3.8       50
Lorain, OH...............           6.1          97.0       1.3       192      767       1.7      264
                                                                                                     
Lucas, OH................          10.0         205.2       0.0       307      827       4.2       31
Mahoning, OH.............           5.9          99.5       0.6       271      683       1.6      274
Montgomery, OH...........          12.0         247.4       1.9       147      814       1.4      286
Stark, OH................           8.7         159.1       1.6       167      755       4.3       28
Summit, OH...............          14.1         261.3       1.0       228      851       2.5      165
Warren, OH...............           4.4          83.9       1.9       147      824       3.5       66
Cleveland, OK............           5.3          80.2       1.1       212      709       2.2      206
Oklahoma, OK.............          26.5         445.2       1.4       184      949       4.5       23
Tulsa, OK................          21.4         344.4       1.4       184      893       3.4       74
Clackamas, OR............          13.3         147.9       2.2       128      874       1.9      244
                                                                                                     
Jackson, OR..............           6.8          81.7       1.6       167      740       4.2       31
Lane, OR.................          11.2         143.1       2.3       119      754       3.7       55
Marion, OR...............           9.7         144.2       2.9        83      764       4.2       31
Multnomah, OR............          31.2         466.7       2.7        96      979       2.8      129
Washington, OR...........          17.3         267.1       2.3       119    1,216       6.2        7
Allegheny, PA............          35.1         686.2       0.1       299    1,024       2.0      231
Berks, PA................           8.9         167.6       1.5       171      852       3.0      117
Bucks, PA................          19.6         252.1       1.2       199      892       2.5      165
Butler, PA...............           5.0          85.2       0.0       307      889       2.7      140
Chester, PA..............          15.1         240.9       0.9       241    1,160       1.8      257
                                                                                                     
Cumberland, PA...........           6.1         127.3       1.5       171      867       1.9      244
Dauphin, PA..............           7.3         176.8       0.6       271      939       2.7      140
Delaware, PA.............          13.7         216.0       1.0       228      994       2.7      140
Erie, PA.................           7.2         125.2       0.1       299      755       2.0      231
Lackawanna, PA...........           5.8          97.9       0.7       263      735       3.2       91
Lancaster, PA............          12.9         227.4       2.2       128      790       3.0      117
Lehigh, PA...............           8.5         182.0       1.1       212      926       2.3      194
Luzerne, PA..............           7.5         141.7       1.1       212      751       2.3      194
Montgomery, PA...........          27.2         473.0       0.8       248    1,133       2.4      183
Northampton, PA..........           6.6         106.1       0.7       263      824       1.4      286
                                                                                                     
Philadelphia, PA.........          34.7         645.3       1.8       153    1,125       2.0      231
Washington, PA...........           5.3          88.1       1.5       171      939       4.9       18
Westmoreland, PA.........           9.3         133.9       0.8       248      767       3.1      103
York, PA.................           8.9         173.0       0.2       293      825       2.1      223
Providence, RI...........          17.3         280.5       1.8       153      937       1.6      274
Charleston, SC...........          12.7         228.9       4.3        24      837       2.8      129
Greenville, SC...........          12.9         248.3       3.9        36      841       2.6      154
Horry, SC................           8.0         118.3       3.3        61      580       2.7      140
Lexington, SC............           5.9         107.9       3.2        65      728       2.8      129
Richland, SC.............           9.3         209.9       2.1       137      815       2.5      165
                                                                                                     
Spartanburg, SC..........           5.9         124.1       2.9        83      795       3.9       44
York, SC.................           5.0          81.6       3.9        36      752       3.3       81
Minnehaha, SD............           6.8         121.9       2.8        86      824       3.3       81
Davidson, TN.............          19.8         459.7       3.8        42      967       2.0      231
Hamilton, TN.............           8.9         188.1       0.6       271      831       3.1      103
Knox, TN.................          11.3         227.6       2.7        96      815       2.3      194
Rutherford, TN...........           4.8         113.0       3.2        65      825       3.3       81
Shelby, TN...............          19.6         476.1       1.0       228      965       0.8      306
Williamson, TN...........           7.2         109.5       5.4         7    1,047       2.8      129
Bell, TX.................           4.9         111.2      -0.1       315      798       3.5       66
                                                                                                     
Bexar, TX................          37.1         796.4       2.6       102      854       3.3       81
Brazoria, TX.............           5.2          99.4       2.6       102      966       7.1        4
Brazos, TX...............           4.2          96.2       1.1       212      734       3.2       91
Cameron, TX..............           6.3         133.5       1.0       228      603       3.1      103
Collin, TX...............          21.3         346.4       3.2        65    1,097       2.0      231
Dallas, TX...............          71.4       1,558.5       3.5        54    1,141       2.5      165
Denton, TX...............          12.6         205.8       4.5        17      871       3.6       61
El Paso, TX..............          14.4         283.4       0.4       282      682       2.4      183
Fort Bend, TX............          11.2         164.4       5.1         9      956       0.7      310
Galveston, TX............           5.7         101.0       2.8        86      824       2.1      223
                                                                                                     
Gregg, TX................           4.2          79.0       3.0        77      864       2.5      165
Harris, TX...............         108.7       2,269.5       3.6        51    1,238       4.0       40
Hidalgo, TX..............          11.8         237.9       2.6       102      616       3.5       66
Jefferson, TX............           5.8         124.0       4.6        16      969       4.5       23
Lubbock, TX..............           7.3         131.5       2.2       128      764       3.7       55
McLennan, TX.............           5.0         105.0       0.7       263      775       4.2       31
Midland, TX..............           5.4          93.1       7.4         2    1,256       6.8        6
Montgomery, TX...........          10.0         159.5       5.1         9      954       5.5       13
Nueces, TX...............           8.1         164.1       3.4        57      860       5.5       13
Potter, TX...............           4.0          77.3       0.5       276      802       3.4       74
                                                                                                     
Smith, TX................           5.9          96.9       1.7       162      818       3.9       44
Tarrant, TX..............          39.9         825.6       1.9       147      944       3.9       44
Travis, TX...............          35.3         658.1       3.9        36    1,074       3.7       55
Webb, TX.................           5.0          95.0       2.4       113      653       3.3       81
Williamson, TX...........           9.0         144.5       2.4       113      923      -0.8      337
Davis, UT................           7.8         115.9       3.9        36      762       3.0      117
Salt Lake, UT............          40.8         627.0       2.8        86      897       2.4      183
Utah, UT.................          13.9         198.8       4.8        14      747      -0.1      330
Weber, UT................           5.6          95.3       1.8       153      721       1.7      264
Chittenden, VT...........           6.4         100.7       1.1       212      916       2.1      223
                                                                                                     
Arlington, VA............           8.8         164.7       0.0       307    1,545       4.8       19
Chesterfield, VA.........           8.1         123.2       0.9       241      825       2.2      206
Fairfax, VA..............          35.1         579.3      -0.4       323    1,447       1.2      291
Henrico, VA..............          10.5         178.7       1.1       212      922       2.2      206
Loudoun, VA..............          10.6         147.9       1.0       228    1,105       1.9      244
Prince William, VA.......           8.4         118.5       1.0       228      845       0.8      306
Alexandria City, VA......           6.2          94.9      -0.1       315    1,345       2.3      194
Chesapeake City, VA......           5.7          96.0       0.0       307      743       2.2      206
Newport News City, VA....           3.7          97.7       0.1       299      928       2.4      183
Norfolk City, VA.........           5.5         134.6      -0.4       323      931       3.3       81
                                                                                                     
Richmond City, VA........           7.1         149.5       1.0       228    1,041       2.2      206
Virginia Beach City, VA..          11.3         172.3       1.1       212      751       2.0      231
Benton, WA...............           5.7          82.7       3.4        57      930       1.5      282
Clark, WA................          14.0         143.0       5.0        12      890       2.8      129
King, WA.................          84.3       1,252.8       3.4        57    1,452       5.1       16
Kitsap, WA...............           6.7          83.1       3.0        77      904       3.3       81
Pierce, WA...............          21.7         282.3       2.8        86      870       3.0      117
Snohomish, WA............          20.2         269.9       2.2       128    1,019       0.5      317
Spokane, WA..............          15.7         208.5       2.1       137      823       3.1      103
Thurston, WA.............           7.9         104.3       3.7        48      877       1.6      274
                                                                                                     
Whatcom, WA..............           7.1          83.5       1.1       212      782       2.2      206
Yakima, WA...............           8.1         119.2       3.1        73      658       3.1      103
Kanawha, WV..............           5.9         103.9      -0.2       318      828       3.0      117
Brown, WI................           6.4         149.6      -0.2       318      829       3.1      103
Dane, WI.................          14.1         314.7       1.1       212      900      -2.2      338
Milwaukee, WI............          25.0         482.4       0.4       282      902       2.5      165
Outagamie, WI............           5.0         103.4       0.8       248      808       2.5      165
Waukesha, WI.............          12.3         232.1       0.3       290      929       2.5      165
Winnebago, WI............           3.5          89.7      -0.6       330      865       3.2       91
San Juan, PR.............          11.4         249.3      -1.8       (5)      603       1.3      (5)

(1) Includes areas not officially designated as counties. See Technical Note.
(2) Average weekly wages were calculated using unrounded data.
(3) Percent changes were computed from 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) 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 339 U.S. counties comprise 71.8 percent of
the total covered workers in the U.S.






Table 2. Covered establishments, employment, and wages in the 10 largest counties,
third quarter 2014

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               third quarter 
         County by NAICS supersector               2014                     Percent            Percent
                                               (thousands)      September   change,    Third   change,
                                                                  2014     September   quarter  third
                                                              (thousands)  2013-14(2)   2014   quarter
                                                                                              2013-14(2)


United States(3) ............................       9,419.7     137,724.1       2.0     $949       2.9
  Private industry...........................       9,125.2     116,563.5       2.3      940       2.8
    Natural resources and mining.............         136.7       2,200.5       3.5    1,072       6.1
    Construction.............................         758.2       6,371.0       4.7    1,040       3.6
    Manufacturing............................         339.4      12,226.3       1.3    1,153       2.7
    Trade, transportation, and utilities.....       1,918.4      26,099.3       2.0      802       2.8
    Information..............................         152.3       2,723.0       0.5    1,726       6.3
    Financial activities.....................         837.0       7,692.6       0.9    1,392       3.4
    Professional and business services.......       1,685.8      19,249.6       2.9    1,202       2.3
    Education and health services............       1,489.1      20,622.5       1.8      882       2.1
    Leisure and hospitality..................         798.5      14,882.7       2.5      399       3.1
    Other services...........................         816.1       4,240.0       1.8      644       3.4
  Government.................................         294.5      21,160.6       0.4    1,004       3.4

Los Angeles, CA..............................         442.4       4,184.4       2.1    1,036       3.1
  Private industry...........................         436.6       3,647.8       2.2    1,000       2.7
    Natural resources and mining.............           0.5           9.5      -1.4    1,618      -8.9
    Construction.............................          13.5         121.9       2.5    1,062       0.0
    Manufacturing............................          12.6         361.0      -2.0    1,136       1.6
    Trade, transportation, and utilities.....          54.0         788.2       2.3      857       3.4
    Information..............................           9.7         198.6       0.0    1,840       6.6
    Financial activities.....................          24.6         207.8      -0.4    1,624       7.7
    Professional and business services.......          47.8         604.0       0.9    1,242       0.9
    Education and health services............         203.5         719.8       2.3      802       2.8
    Leisure and hospitality..................          30.8         468.3       4.5      578       5.1
    Other services...........................          28.1         148.2       3.8      688       2.7
  Government.................................           5.8         536.7       1.9    1,288       5.5

New York, NY.................................         127.7       2,494.4       2.7    1,733       3.8
  Private industry...........................         127.3       2,060.9       3.3    1,845       3.4
    Natural resources and mining.............           0.0           0.2      -3.2    3,140      48.3
    Construction.............................           2.2          35.6       4.4    1,716       2.6
    Manufacturing............................           2.2          25.4      -0.7    1,196       6.4
    Trade, transportation, and utilities.....          20.7         261.4       1.4    1,265       4.7
    Information..............................           4.8         150.4       1.6    2,360       1.0
    Financial activities.....................          19.3         360.5       2.7    3,285       5.1
    Professional and business services.......          26.9         523.6       3.6    2,074       3.2
    Education and health services............           9.7         320.6       3.7    1,265       0.9
    Leisure and hospitality..................          13.7         277.2       4.5      818       5.5
    Other services...........................          20.0          98.5       2.9    1,049       3.8
  Government.................................           0.4         433.5       0.0    1,195       4.6

Cook, IL.....................................         158.3       2,481.9       1.2    1,071       2.0
  Private industry...........................         157.0       2,187.8       1.5    1,071       3.3
    Natural resources and mining.............           0.1           1.0       3.4    1,112       7.0
    Construction.............................          13.1          71.8       5.9    1,387       3.7
    Manufacturing............................           6.7         185.4      -0.3    1,137       4.8
    Trade, transportation, and utilities.....          31.4         454.8       2.1      869       3.7
    Information..............................           2.9          54.4       1.2    1,627       3.0
    Financial activities.....................          16.2         184.2      -0.1    1,848       5.1
    Professional and business services.......          33.7         455.4       2.0    1,345       2.9
    Education and health services............          16.6         421.7       0.8      919       1.5
    Leisure and hospitality..................          14.3         258.7       2.0      481       1.3
    Other services...........................          17.9          96.8       0.8      838       4.9
  Government.................................           1.3         294.1      -0.6    1,075      -6.0

Harris, TX...................................         108.7       2,269.5       3.6    1,238       4.0
  Private industry...........................         108.1       2,009.9       3.9    1,254       4.0
    Natural resources and mining.............           1.8          95.1       6.5    3,079       7.5
    Construction.............................           6.8         158.6       9.9    1,262       6.4
    Manufacturing............................           4.7         198.0       3.6    1,491       4.9
    Trade, transportation, and utilities.....          24.6         468.6       3.4    1,103       3.7
    Information..............................           1.2          27.9      -2.4    1,373       4.4
    Financial activities.....................          11.1         119.1       1.8    1,490       0.7
    Professional and business services.......          21.9         396.3       2.7    1,513       3.6
    Education and health services............          14.9         270.6       2.7      972       0.8
    Leisure and hospitality..................           9.1         211.1       5.5      419       3.7
    Other services...........................          11.7          63.7       3.7      755       5.4
  Government.................................           0.6         259.6       1.6    1,112       4.3

Maricopa, AZ.................................          93.4       1,756.8       2.0      914       1.8
  Private industry...........................          92.7       1,547.6       2.2      907       1.7
    Natural resources and mining.............           0.5           7.0       0.2      920       0.2
    Construction.............................           7.3          92.3      -1.4      935      -0.5
    Manufacturing............................           3.2         114.0       0.7    1,313       3.0
    Trade, transportation, and utilities.....          20.0         347.8       2.1      832       0.8
    Information..............................           1.5          33.2       5.1    1,213       2.4
    Financial activities.....................          11.0         153.0       2.8    1,145       1.2
    Professional and business services.......          21.8         295.4       1.5      996       3.8
    Education and health services............          10.7         261.8       2.6      935       2.2
    Leisure and hospitality..................           7.4         191.3       3.0      433       1.6
    Other services...........................           6.3          48.3       2.6      651      -0.9
  Government.................................           0.7         209.2       0.3      972       1.9

Dallas, TX...................................          71.4       1,558.5       3.5    1,141       2.5
  Private industry...........................          70.9       1,390.9       3.8    1,144       2.4
    Natural resources and mining.............           0.6          10.0       4.9    3,840      18.3
    Construction.............................           4.1          77.9       5.7    1,084       5.3
    Manufacturing............................           2.7         107.1      -0.4    1,278      -1.4
    Trade, transportation, and utilities.....          15.4         312.5       4.2    1,030       2.3
    Information..............................           1.4          49.2       0.4    1,722       0.2
    Financial activities.....................           8.6         152.3       2.5    1,532       5.1
    Professional and business services.......          16.0         313.4       5.7    1,290       1.7
    Education and health services............           8.8         182.2       3.5    1,027       0.8
    Leisure and hospitality..................           6.1         145.9       4.9      480       4.8
    Other services...........................           6.8          39.9       0.6      751       4.5
  Government.................................           0.5         167.6       1.1    1,112       2.9

Orange, CA...................................         108.0       1,475.0       2.3    1,050       2.6
  Private industry...........................         106.7       1,341.6       2.4    1,037       2.9
    Natural resources and mining.............           0.2           3.3      -0.8      822      16.8
    Construction.............................           6.5          83.4       4.8    1,174       4.4
    Manufacturing............................           4.9         158.1       0.3    1,387       6.3
    Trade, transportation, and utilities.....          16.8         254.2       2.4      939       1.4
    Information..............................           1.3          23.5      -4.9    1,600       5.2
    Financial activities.....................          10.7         113.2       1.2    1,568       0.3
    Professional and business services.......          20.7         276.1       2.2    1,205       4.4
    Education and health services............          27.2         185.7       2.5      879       1.2
    Leisure and hospitality..................           7.9         194.3       2.1      457       4.1
    Other services...........................           6.9          43.5       4.0      647       1.6
  Government.................................           1.3         133.4       0.6    1,196       0.9

San Diego, CA................................         100.8       1,344.5       2.3    1,030       0.8
  Private industry...........................          99.4       1,124.1       2.6      987       0.1
    Natural resources and mining.............           0.7          11.2       4.8      610      -3.6
    Construction.............................           6.4          64.7       4.6    1,069       1.9
    Manufacturing............................           3.1          96.9       1.4    1,414       3.9
    Trade, transportation, and utilities.....          14.2         212.0       1.4      773      -0.4
    Information..............................           1.2          24.3      -1.2    1,751       0.7
    Financial activities.....................           9.4          69.8      -1.3    1,340       2.1
    Professional and business services.......          18.2         227.7       1.7    1,417      -2.1
    Education and health services............          28.0         184.1       3.1      874       0.8
    Leisure and hospitality..................           7.7         178.4       3.3      457       3.9
    Other services...........................           7.3          49.6       5.8      570       1.4
  Government.................................           1.4         220.5       0.5    1,262       4.5

King, WA.....................................          84.3       1,252.8       3.4    1,452       5.1
  Private industry...........................          83.7       1,094.8       3.7    1,479       5.3
    Natural resources and mining.............           0.4           2.8       2.5    1,221       1.6
    Construction.............................           6.0          60.5       9.5    1,213       4.3
    Manufacturing............................           2.3         106.6       0.3    1,542       1.7
    Trade, transportation, and utilities.....          14.8         234.4       4.6    1,125       4.5
    Information..............................           2.0          87.1       4.4    5,134       9.3
    Financial activities.....................           6.5          65.9       1.2    1,490       3.3
    Professional and business services.......          15.8         209.1       4.3    1,528       4.9
    Education and health services............          20.8         160.4       3.3      949       4.3
    Leisure and hospitality..................           6.8         127.1       3.3      510       2.2
    Other services...........................           8.4          41.0       3.2      794       2.5
  Government.................................           0.5         158.0       1.3    1,262       3.0

Miami-Dade, FL...............................          94.3       1,047.0       3.0      891       2.2
  Private industry...........................          94.0         911.7       3.6      873       2.2
    Natural resources and mining.............           0.5           7.4       6.0      573       4.8
    Construction.............................           5.4          37.1      11.4      887       4.5
    Manufacturing............................           2.7          37.3       1.9      850       4.7
    Trade, transportation, and utilities.....          27.4         269.0       3.1      806       1.6
    Information..............................           1.6          18.4       4.5    1,402       2.0
    Financial activities.....................           9.9          71.8       4.2    1,362       4.0
    Professional and business services.......          19.8         141.3       4.2    1,055       3.5
    Education and health services............          10.1         163.4       2.2      913       0.6
    Leisure and hospitality..................           7.2         127.3       2.9      521      -0.4
    Other services...........................           8.2          37.3       3.2      576       2.7
  Government.................................           0.3         135.3      -1.3    1,017       2.2

(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 2013 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,
third quarter 2014


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             third quarter
            State                2014                     Percent           Percent
                             (thousands)      September   change,   Third   change,
                                                2014     September  quarter  third
                                             (thousands)  2013-14    2014   quarter
                                                                            2013-14

                                                                                   
United States(2)...........       9,419.7     137,724.1       2.0     $949      2.9
                                                                                   
Alabama....................         118.3       1,871.2       1.3      815      2.5
Alaska.....................          22.4         344.7      -0.1    1,019      3.0
Arizona....................         147.4       2,539.6       1.8      876      2.0
Arkansas...................          87.3       1,170.9       1.3      737      1.8
California.................       1,386.5      16,013.4       3.1    1,095      3.7
Colorado...................         180.9       2,443.0       3.7      982      3.0
Connecticut................         114.4       1,663.2       0.8    1,124      1.4
Delaware...................          30.1         426.1       1.9      961      2.2
District of Columbia.......          36.3         732.9       0.8    1,631      4.5
Florida....................         642.5       7,748.4       3.3      826      2.1
                                                                                   
Georgia....................         283.0       4,059.0       3.4      891      2.8
Hawaii.....................          39.0         625.1       0.9      870      3.9
Idaho......................          55.4         658.4       2.1      721      2.6
Illinois...................         416.0       5,807.4       1.2      982      2.5
Indiana....................         158.6       2,924.7       1.4      799      1.9
Iowa.......................         100.2       1,528.8       1.1      800      3.6
Kansas.....................          86.0       1,363.1       1.2      794      2.3
Kentucky...................         121.0       1,827.8       1.8      781      2.5
Louisiana..................         127.2       1,928.3       1.7      852      3.1
Maine......................          49.4         604.5       0.3      754      2.6
                                                                                   
Maryland...................         164.9       2,574.5       1.1    1,042      3.1
Massachusetts..............         232.1       3,386.7       1.8    1,164      3.0
Michigan...................         236.5       4,141.0       1.7      896      2.4
Minnesota..................         165.9       2,757.9       1.1      965      2.9
Mississippi................          71.5       1,105.0       0.5      697      1.3
Missouri...................         185.7       2,686.4       1.0      828      2.7
Montana....................          44.3         449.5       0.7      732      3.7
Nebraska...................          72.1         950.0       1.1      779      1.8
Nevada.....................          76.2       1,215.8       4.0      840      0.5
New Hampshire..............          50.3         633.5       1.4      927      3.6
                                                                                   
New Jersey.................         264.4       3,880.4       0.8    1,087      1.7
New Mexico.................          57.2         804.0       1.1      786      2.6
New York...................         627.7       8,902.1       2.0    1,145      3.2
North Carolina.............         260.3       4,085.5       1.9      839      2.8
North Dakota...............          31.7         455.9       4.3      977      6.1
Ohio.......................         290.0       5,219.1       1.4      863      3.1
Oklahoma...................         107.4       1,592.3       1.0      826      3.6
Oregon.....................         137.5       1,752.8       2.4      887      3.6
Pennsylvania...............         349.5       5,676.2       1.0      937      2.6
Rhode Island...............          35.9         471.8       1.4      895      1.8
                                                                                   
South Carolina.............         118.7       1,902.7       2.4      768      2.4
South Dakota...............          32.1         415.8       1.7      733      3.7
Tennessee..................         146.2       2,775.5       2.4      837      2.1
Texas......................         623.1      11,433.6       3.1      988      3.8
Utah.......................          90.8       1,304.7       3.1      803      1.5
Vermont....................          24.5         306.5       1.2      805      2.3
Virginia...................         242.4       3,667.9       0.6      989      2.0
Washington.................         236.9       3,112.8       3.2    1,087      3.9
West Virginia..............          49.8         709.3      -0.2      778      3.5
Wisconsin..................         166.2       2,783.1       1.1      808      1.9
                                                                                   
Wyoming....................          25.6         291.3       1.7      877      4.4
                                                                                   
Puerto Rico................          49.0         896.7      -1.5      505      0.8
Virgin Islands.............           3.4          37.5      -1.0      720      2.0

(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: March 19, 2015
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