County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, September 18, 2014	                            USDL-14-1713

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

COUNTY EMPLOYMENT AND WAGES
First Quarter 2014

From March 2013 to March 2014, employment increased in 281 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 7.5 
percent over the year, compared with national job growth of 1.7 percent. Within Weld, the largest 
employment increase occurred in natural resources and mining, which gained 2,145 jobs over the year 
(24.1 percent). Peoria, Ill., had the largest over-the-year decrease in employment among the largest 
counties in the U.S. with a loss of 2.6 percent. County employment and wage data are compiled under 
the Quarterly Census of Employment and Wages (QCEW) program, which produces detailed 
information on county employment and wages within 6 months after the end of each quarter.

The U.S. average weekly wage increased 3.8 percent over the year, growing to $1,027 in the first 
quarter of 2014. Chester, Pa., had the largest over-the-year increase in average weekly wages with a gain 
of 13.9 percent. Within Chester, an average weekly wage gain of $520, or 49.1 percent, in trade, 
transportation, and utilities made the largest contribution to the county’s increase in average weekly 
wages. Benton, Ark., experienced the largest decrease in average weekly wages with a loss of 3.2 
percent over the year.

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

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                                       Employment in large counties
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       March 2014 employment      |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |           March 2013-14          |           March 2013-14
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           134,555.0| United States             2,254.3| United States                 1.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 Los Angeles, Calif.       4,125.8| Los Angeles, Calif.          79.4| Weld, Colo.                   7.5
 New York, N.Y.            2,453.1| Harris, Texas                64.0| York, S.C.                    6.4
 Cook, Ill.                2,413.6| New York, N.Y.               58.7| Lee, Fla.                     6.3
 Harris, Texas             2,226.8| Dallas, Texas                45.4| Sarasota, Fla.                5.8
 Maricopa, Ariz.           1,749.9| King, Wash.                  39.1| Wyandotte, Kan.               5.5
 Dallas, Texas             1,515.6| Maricopa, Ariz.              39.0| Midland, Texas                5.4
 Orange, Calif.            1,459.9| Santa Clara, Calif.          36.9| Montgomery, Texas             5.2
 San Diego, Calif.         1,321.0| Orange, Calif.               35.0| Collier, Fla.                 4.9
 King, Wash.               1,214.7| Clark, Nev.                  32.3| Sonoma, Calif.                4.8
 Miami-Dade, Fla.          1,043.4| San Diego, Calif.            26.7| Fort Bend, Texas              4.8
                                  |                                  |                                  
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Large County Employment

In March 2014, national employment was 134.6 million (as measured by the QCEW program). Over the 
year, employment increased 1.7 percent, or 2.3 million. The 339 U.S. counties with 75,000 or more jobs 
accounted for 72.0 percent of total U.S. employment and 78.3 percent of total wages. These 339 
counties had a net job growth of 1.7 million over the year, accounting for 74.4 percent of the overall 
U.S. employment increase.

Weld, Colo., had the largest percentage increase in employment (7.5 percent) among the largest U.S. 
counties. The five counties with the largest increases in employment 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 286,600 jobs, which was 12.7 percent of the overall job increase for the 
U.S. (See table A.)

Employment declined in 50 of the largest counties from March 2013 to March 2014. Peoria, Ill., had the 
largest over-the-year percentage decrease in employment (-2.6 percent). Within Peoria, professional and 
business services had the largest decrease in employment, with a loss of 1,240 jobs (-7.4 percent). St. 
Clair, Ill. had the second largest percentage decrease in employment, followed by Atlantic, N.J.; Lake, 
Ind.; and Arlington, Va. (See table 1.)

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

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                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
         first quarter 2014       |    wage, first quarter 2013-14   |         weekly wage, first
                                  |                                  |          quarter 2013-14
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,027| United States                 $38| United States                 3.8
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 New York, N.Y.             $2,749| New York, N.Y.               $294| Chester, Pa.                 13.9
 Santa Clara, Calif.         2,074| San Mateo, Calif.             181| New York, N.Y.               12.0
 San Mateo, Calif.           2,058| Chester, Pa.                  173| San Mateo, Calif.             9.6
 Somerset, N.J.              2,048| San Francisco, Calif.         166| Forsyth, N.C.                 9.6
 San Francisco, Calif.       1,944| Suffolk, Mass.                150| San Francisco, Calif.         9.3
 Fairfield, Conn.            1,922| Santa Clara, Calif.           137| Suffolk, Mass.                8.8
 Suffolk, Mass.              1,852| Midland, Texas                104| Midland, Texas                8.5
 Washington, D.C.            1,701| Middlesex, Mass.               90| Palm Beach, Fla.              7.8
 Arlington, Va.              1,669| Forsyth, N.C.                  90| Washington, Pa.               7.3
 Morris, N.J.                1,646| Lake, Ill.                     86| Elkhart, Ind.                 7.2
                                  |                                  |                                  
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,027, a 3.8 percent increase, during the year ending 
in the first quarter of 2014. Among the 339 largest counties, 323 had over-the-year increases in average 
weekly wages. Chester, Pa., had the largest wage increase among the largest U.S. counties (13.9 
percent).

Of the 339 largest counties, 15 experienced over-the-year decreases in average weekly wages. Benton, 
Ark., had the largest percentage decrease in average weekly wages, with a loss of 3.2 percent. Within 
Benton, professional and business services had the largest impact on the county’s average weekly wage 
decrease. Within this industry, average weekly wages declined by $253 (-8.9 percent) over the year. 
Cumberland, N.C., had the second largest percentage decrease in average weekly wages, followed by 
Dutchess, N.Y.; Ocean, N.J.; and McLean, Ill. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in March 2014. 
King, Wash., had the largest gain (3.3 percent). Within King, trade, transportation, and utilities had the 
largest over-the-year employment level increase among all private industry groups with a gain of 10,023 
jobs, or 4.7 percent. Cook, Ill., had the smallest percentage increase in employment (1.0 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. New York, N.Y., 
experienced the largest percentage gain in average weekly wages (12.0 percent). Within New York, 
financial services had the largest impact on the county’s average weekly wage growth. Within this 
industry, average weekly wages increased by $1,607, or 21.0 percent, over the year. Orange, Calif., had 
the smallest increase in average weekly wages (2.7 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. March 2014 employment and 2014 first 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 134.6 million full- and part-
time workers. The QCEW program provides a quarterly and annual universe count of establishments, 
employment, and wages at the county, MSA, state, and national levels by detailed industry. Data for the 
first quarter of 2014 will be available 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 second quarter 2014 is scheduled to be released 
on Thursday, December 18, 2014.

 ----------------------------------------------------------------------------------------------------------
|                                                                                                          |
|                  County Changes for the 2014 County Employment and Wages News Releases                   |
|                                                                                                          |
|   Counties with annual average employment of 75,000 or more in 2013 are included in this release and     |
|   will be included in future 2014 releases. Five counties have been added to the publication tables:     |
|   Shelby, Ala.; Osceola, Fla.; Black Hawk, Iowa; Washington, Minn.; and Cleveland, Okla.                 |
|                                                                                                          |
 ----------------------------------------------------------------------------------------------------------






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 time-tables.

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- |  557,000 establish-
            |  submitted by 9.4   |  ministrative records|  ments
            |  million establish- |  submitted by 7.3    |
            |  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. These new 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 2012 edition of 
this publication, which was published in September 2013, contains selected data produced by Business 
Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2013 
version of this news release. Tables and additional content from Employment and Wages Annual 
Averages 2012 are now available online at http://www.bls.gov/cew/cewbultn12.htm. The 2013 edition 
of Employment and Wages Annual Averages Online will be available in September 2014.

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,
first quarter 2014

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          first quarter                Percent    Ranking            Percent   Ranking
                                2014          March     change,      by      First    change,     by
                            (thousands)       2014       March     percent  quarter    first    percent
                                          (thousands)  2013-14(3)  change     2014    quarter   change
                                                                                     2013-14(3)
                                                                                                     
United States(4).........       9,358.3     134,555.0       1.7        -    $1,027       3.8       - 
                                                                                                     
Jefferson, AL............          17.7         336.3       0.1       280      997       1.3      268
Madison, AL..............           9.1         180.3      -0.1       290    1,049       1.7      241
Mobile, AL...............           9.6         164.8       0.8       218      819       0.9      292
Montgomery, AL...........           6.4         128.0      -0.6       312      785       0.6      303
Shelby, AL...............           5.0          77.5       1.9       128      963       4.9       41
Tuscaloosa, AL...........           4.3          87.2       1.9       128      800       0.3      314
Anchorage Borough, AK....           8.3         150.6       0.3       265    1,070       3.0      136
Maricopa, AZ.............          92.9       1,749.9       2.3       102      977       3.3      117
Pima, AZ.................          18.6         353.0       0.0       282      821       1.5      252
Benton, AR...............           5.7         103.1       4.6        13    1,298      -3.2      339
                                                                                                     
Pulaski, AR..............          14.4         242.1       0.0       282      881       3.2      124
Washington, AR...........           5.7          95.0       1.8       137      782       3.0      136
Alameda, CA..............          57.0         690.3       2.5        88    1,298       4.3       59
Contra Costa, CA.........          29.7         335.9       2.7        80    1,268       1.5      252
Fresno, CA...............          31.0         345.0       2.9        72      755       2.6      167
Kern, CA.................          17.3         292.2       2.4        97      856       1.2      275
Los Angeles, CA..........         441.9       4,125.8       2.0       118    1,096       3.8       84
Marin, CA................          11.9         109.0       2.4        97    1,195       4.8       44
Monterey, CA.............          12.9         162.5       3.2        55      837       0.6      303
Orange, CA...............         106.5       1,459.9       2.5        88    1,121       2.7      159
                                                                                                     
Placer, CA...............          11.2         140.0       2.9        72      952       2.1      207
Riverside, CA............          52.9         619.5       4.0        27      785       2.1      207
Sacramento, CA...........          52.3         607.1       1.6       148    1,083       3.0      136
San Bernardino, CA.......          51.3         646.0       3.7        39      798       1.1      279
San Diego, CA............          99.6       1,321.0       2.1       114    1,131       6.8       13
San Francisco, CA........          57.2         629.7       3.9        31    1,944       9.3        5
San Joaquin, CA..........          16.8         211.7       2.0       118      803       2.6      167
San Luis Obispo, CA......           9.7         109.7       2.9        72      788       0.3      314
San Mateo, CA............          25.5         365.7       4.6        13    2,058       9.6        3
Santa Barbara, CA........          14.6         189.0       3.3        50      915       2.1      207
                                                                                                     
Santa Clara, CA..........          65.3         960.4       4.0        27    2,074       7.1       11
Santa Cruz, CA...........           9.1          93.5       3.2        55      871       0.5      310
Solano, CA...............          10.2         125.2       1.5       153    1,038       2.1      207
Sonoma, CA...............          19.0         188.8       4.8         9      871       0.9      292
Stanislaus, CA...........          14.4         168.5       2.1       114      802       1.4      261
Tulare, CA...............           9.2         144.0       2.0       118      687       6.3       17
Ventura, CA..............          24.7         317.3       1.7       140    1,072       4.4       56
Yolo, CA.................           6.0          90.6       1.4       162    1,014       4.0       73
Adams, CO................           9.1         176.9       4.7        11      915       2.6      167
Arapahoe, CO.............          19.3         298.9       2.6        83    1,250       4.8       44
                                                                                                     
Boulder, CO..............          13.3         165.9       2.6        83    1,161       3.8       84
Denver, CO...............          27.0         449.9       3.9        31    1,329       4.8       44
Douglas, CO..............          10.0         103.9       4.2        22    1,143       3.6      105
El Paso, CO..............          16.8         242.9       1.4       162      876       2.3      187
Jefferson, CO............          17.8         216.4       2.0       118      993       4.9       41
Larimer, CO..............          10.3         137.0       2.7        80      860       4.2       69
Weld, CO.................           6.0          94.7       7.5         1      868       5.6       23
Fairfield, CT............          33.6         410.5       0.6       238    1,922       2.3      187
Hartford, CT.............          26.2         493.6       0.7       224    1,383       5.2       35
New Haven, CT............          22.9         354.9       0.6       238    1,026       1.3      268
                                                                                                     
New London, CT...........           7.0         119.6      -1.2       324    1,022       4.7       47
New Castle, DE...........          17.7         272.7       1.9       128    1,285       4.3       59
Washington, DC...........          35.6         727.3       1.2       177    1,701       5.3       31
Alachua, FL..............           6.7         119.2       1.0       195      785       1.9      224
Brevard, FL..............          14.7         189.2       0.7       224      856       0.9      292
Broward, FL..............          65.6         736.8       2.8        78      911       3.4      111
Collier, FL..............          12.5         133.5       4.9         8      828       0.2      319
Duval, FL................          27.7         453.7       1.6       148      977       1.3      268
Escambia, FL.............           8.1         123.1       0.8       218      739       2.5      174
Hillsborough, FL.........          39.3         620.7       2.9        72      950       2.8      149
                                                                                                     
Lake, FL.................           7.6          85.8       3.0        64      639       1.9      224
Lee, FL..................          19.8         228.1       6.3         3      749       1.2      275
Leon, FL.................           8.3         140.8       2.5        88      763       2.0      215
Manatee, FL..............           9.9         111.5       3.4        47      706       0.4      311
Marion, FL...............           8.0          93.6       1.6       148      657       1.1      279
Miami-Dade, FL...........          93.4       1,043.4       2.6        83      948       4.4       56
Okaloosa, FL.............           6.2          78.4       0.9       207      785       0.6      303
Orange, FL...............          38.1         728.9       3.3        50      873       2.8      149
Osceola, FL..............           5.9          80.2       4.1        25      683       1.3      268
Palm Beach, FL...........          51.7         545.2       3.5        44    1,010       7.8        8
                                                                                                     
Pasco, FL................          10.2         103.9       2.6        83      657       3.0      136
Pinellas, FL.............          31.4         396.6       1.3       170      843       1.7      241
Polk, FL.................          12.6         200.4       2.0       118      727       3.0      136
Sarasota, FL.............          14.9         153.5       5.8         4      790       3.7       98
Seminole, FL.............          14.1         165.1       3.1        58      811       2.5      174
Volusia, FL..............          13.5         157.6       2.5        88      685       3.8       84
Bibb, GA.................           4.6          81.3       2.9        72      772       3.5      108
Chatham, GA..............           8.2         137.1       1.2       177      833       2.8      149
Clayton, GA..............           4.3         111.1       1.7       140      962       4.3       59
Cobb, GA.................          22.4         322.8       4.6        13    1,101       1.1      279
                                                                                                     
De Kalb, GA..............          18.6         282.3       3.8        37    1,056       4.0       73
Fulton, GA...............          43.7         749.8       2.3       102    1,500       5.4       27
Gwinnett, GA.............          24.9         319.4       3.5        44      988       3.2      124
Muscogee, GA.............           4.7          94.6       1.0       195      800       1.9      224
Richmond, GA.............           4.7         102.0       1.4       162      801       1.4      261
Honolulu, HI.............          24.9         457.2       1.1       184      893       1.8      230
Ada, ID..................          13.8         208.8       3.9        31      857       5.9       21
Champaign, IL............           4.5          87.6      -0.3       297      837       1.6      248
Cook, IL.................         156.3       2,413.6       1.0       195    1,248       5.0       39
Du Page, IL..............          38.6         588.6       0.9       207    1,183       2.7      159
                                                                                                     
Kane, IL.................          13.9         198.6       1.7       140      841       2.6      167
Lake, IL.................          23.0         317.8      -0.4       303    1,484       6.2       18
McHenry, IL..............           8.9          93.0       2.6        83      807       3.2      124
McLean, IL...............           3.9          83.3      -1.7       334    1,041      -1.0      335
Madison, IL..............           6.1          93.9      -0.3       297      801       2.3      187
Peoria, IL...............           4.8          98.6      -2.6       339      963      -0.9      333
St. Clair, IL............           5.7          90.1      -2.3       338      762       1.5      252
Sangamon, IL.............           5.4         125.5       0.6       238      993       3.2      124
Will, IL.................          16.1         209.7       2.3       102      867       4.2       69
Winnebago, IL............           6.9         122.7      -0.9       317      834       3.1      132
                                                                                                     
Allen, IN................           8.8         174.3       1.1       184      825       2.0      215
Elkhart, IN..............           4.7         118.1       4.0        27      809       7.2       10
Hamilton, IN.............           8.7         121.9       4.2        22    1,022       3.7       98
Lake, IN.................          10.3         183.1      -1.9       336      863      -0.7      331
Marion, IN...............          23.8         568.0       1.0       195    1,052       0.0      324
St. Joseph, IN...........           5.9         115.8       1.0       195      777       1.0      288
Tippecanoe, IN...........           3.3          79.3       0.7       224      828       1.5      252
Vanderburgh, IN..........           4.8         104.0      -0.4       303      804       3.3      117
Black Hawk, IA...........           3.7          74.7       0.4       260      826       1.1      279
Johnson, IA..............           3.9          79.8       1.5       153      876       3.7       98
                                                                                                     
Linn, IA.................           6.5         126.0       0.6       238      958       3.8       84
Polk, IA.................          16.1         279.8       3.0        64    1,044       2.7      159
Scott, IA................           5.5          87.6       0.5       253      780       1.6      248
Johnson, KS..............          21.1         319.8       2.4        97    1,072       5.3       31
Sedgwick, KS.............          12.3         242.7       0.9       207      909       5.1       38
Shawnee, KS..............           4.7          96.0       2.3       102      818       1.1      279
Wyandotte, KS............           3.2          85.1       5.5         5      938       5.2       35
Boone, KY................           4.1          77.1       1.5       153      822       1.2      275
Fayette, KY..............          10.3         180.0       1.3       170      869       2.8      149
Jefferson, KY............          24.3         431.6       1.0       195      994       3.8       84
                                                                                                     
Caddo, LA................           7.4         114.3      -1.6       331      779       2.4      182
Calcasieu, LA............           5.0          87.2       0.3       265      856       2.0      215
East Baton Rouge, LA.....          14.9         265.7       1.2       177      915       1.1      279
Jefferson, LA............          13.8         191.2       0.3       265      875       2.1      207
Lafayette, LA............           9.3         140.0       0.9       207      954       4.3       59
Orleans, LA..............          11.5         187.2       3.6        42      980       1.8      230
St. Tammany, LA..........           7.7          82.0       3.0        64      841       1.0      288
Cumberland, ME...........          12.6         167.6       0.9       207      912       1.7      241
Anne Arundel, MD.........          14.6         250.4       0.7       224    1,061      -0.4      329
Baltimore, MD............          21.2         361.0      -0.1       290      985       0.6      303
                                                                                                     
Frederick, MD............           6.3          94.0      -0.6       312      964       1.9      224
Harford, MD..............           5.6          86.4      -0.9       317      910      -0.3      327
Howard, MD...............           9.5         156.3      -0.2       293    1,220       2.3      187
Montgomery, MD...........          33.0         450.7       0.6       238    1,364       3.6      105
Prince Georges, MD.......          15.6         298.9      -0.4       303    1,007       2.1      207
Baltimore City, MD.......          13.8         327.0      -0.5       307    1,192       1.7      241
Barnstable, MA...........           9.0          82.6       0.8       218      830       1.6      248
Bristol, MA..............          16.3         214.4       1.6       148      874       2.6      167
Essex, MA................          22.2         305.7       1.7       140    1,044       1.9      224
Hampden, MA..............          16.2         196.7       0.6       238      923       2.8      149
                                                                                                     
Middlesex, MA............          50.1         835.2       1.0       195    1,553       6.2       18
Norfolk, MA..............          23.6         328.2       1.3       170    1,159       1.8      230
Plymouth, MA.............          14.2         176.7       1.1       184      894       2.2      199
Suffolk, MA..............          24.7         611.6       2.2       110    1,852       8.8        6
Worcester, MA............          22.1         321.6       1.0       195      976       2.7      159
Genesee, MI..............           7.1         131.2      -0.3       297      804       4.3       59
Ingham, MI...............           6.2         148.4      -0.3       297      961       1.4      261
Kalamazoo, MI............           5.2         111.0       0.6       238      917       2.0      215
Kent, MI.................          13.9         353.9       3.7        39      862       3.1      132
Macomb, MI...............          17.2         301.7       1.1       184      995       2.3      187
                                                                                                     
Oakland, MI..............          38.1         677.8       1.1       184    1,107       2.9      143
Ottawa, MI...............           5.5         111.6       3.1        58      782       2.8      149
Saginaw, MI..............           4.1          81.6      -0.7       315      814       4.5       53
Washtenaw, MI............           8.2         196.8       0.5       253      996       1.3      268
Wayne, MI................          30.7         684.1       0.4       260    1,121       6.4       16
Anoka, MN................           6.8         113.9       2.0       118      887       2.1      207
Dakota, MN...............           9.4         174.4       1.2       177      997       4.3       59
Hennepin, MN.............          41.7         849.5       1.0       195    1,325       3.8       84
Olmsted, MN..............           3.3          90.3      -1.4       328    1,031       2.7      159
Ramsey, MN...............          13.1         317.3       0.5       253    1,192       1.8      230
                                                                                                     
St. Louis, MN............           5.3          93.9       0.0       282      813       3.3      117
Stearns, MN..............           4.2          80.3       0.2       275      761       1.7      241
Washington, MN...........           5.2          73.7       0.9       207      841       3.8       84
Harrison, MS.............           4.5          81.9      -0.2       293      708       0.7      301
Hinds, MS................           6.0         119.6      -0.2       293      840       2.9      143
Boone, MO................           4.6          88.8       1.8       137      745       0.8      296
Clay, MO.................           5.2          91.0       3.6        42      880       3.4      111
Greene, MO...............           8.1         156.1       1.9       128      738       3.7       98
Jackson, MO..............          19.4         345.6       0.3       265      992       0.8      296
St. Charles, MO..........           8.5         130.5       2.1       114      828       4.3       59
                                                                                                     
St. Louis, MO............          33.4         571.5       1.2       177    1,066       3.3      117
St. Louis City, MO.......          10.5         217.4      -1.3       325    1,170       4.3       59
Yellowstone, MT..........           6.3          76.9       0.5       253      813       3.7       98
Douglas, NE..............          18.3         323.1       2.3       102      933       2.2      199
Lancaster, NE............           9.9         160.6       1.9       128      779       2.5      174
Clark, NV................          51.2         861.4       3.9        31      856       3.0      136
Washoe, NV...............          13.9         190.1       3.3        50      856       2.8      149
Hillsborough, NH.........          12.0         190.2       1.0       195    1,086       4.4       56
Rockingham, NH...........          10.5         134.9       1.3       170      944       2.8      149
Atlantic, NJ.............           6.6         125.8      -2.1       337      808       1.5      252
                                                                                                     
Bergen, NJ...............          32.9         431.3       1.5       153    1,222       2.4      182
Burlington, NJ...........          11.0         193.8      -1.4       328    1,017       0.4      311
Camden, NJ...............          11.9         191.8       0.2       275      937       0.6      303
Essex, NJ................          20.4         330.0      -1.3       325    1,343       1.1      279
Gloucester, NJ...........           6.1          97.5       1.6       148      839       1.8      230
Hudson, NJ...............          14.2         234.6       0.5       253    1,569       2.5      174
Mercer, NJ...............          11.0         233.5       1.4       162    1,490       0.7      301
Middlesex, NJ............          21.9         388.4       0.6       238    1,307       3.7       98
Monmouth, NJ.............          20.1         240.8       1.1       184    1,003       1.5      252
Morris, NJ...............          17.1         275.6       0.7       224    1,646       4.3       59
                                                                                                     
Ocean, NJ................          12.6         151.1       3.1        58      779      -1.3      336
Passaic, NJ..............          12.3         165.0      -1.1       322      968       0.3      314
Somerset, NJ.............          10.1         175.3       0.8       218    2,048      -0.3      327
Union, NJ................          14.3         218.5      -0.9       317    1,263       1.5      252
Bernalillo, NM...........          17.9         310.0       0.8       218      836       1.1      279
Albany, NY...............          10.2         222.2       0.1       280    1,008       2.9      143
Bronx, NY................          17.5         249.2       1.9       128      881       2.2      199
Broome, NY...............           4.6          86.4      -1.1       322      750       2.3      187
Dutchess, NY.............           8.4         107.5       0.0       282      946      -1.6      337
Erie, NY.................          24.4         449.9       0.2       275      875       2.3      187
                                                                                                     
Kings, NY................          56.4         556.1       4.6        13      760       0.8      296
Monroe, NY...............          18.5         372.8       0.7       224      919       1.5      252
Nassau, NY...............          53.2         595.9       1.7       140    1,091       1.8      230
New York, NY.............         125.9       2,453.1       2.5        88    2,749      12.0        2
Oneida, NY...............           5.3         101.0      -0.3       297      751       0.3      314
Onondaga, NY.............          13.0         238.4      -0.2       293      911       3.5      108
Orange, NY...............          10.1         133.8       0.3       265      798       0.4      311
Queens, NY...............          49.1         539.3       2.5        88      911       1.3      268
Richmond, NY.............           9.4          97.4       3.1        58      802       1.8      230
Rockland, NY.............          10.1         113.6       2.9        72    1,054       0.2      319
                                                                                                     
Saratoga, NY.............           5.8          78.5       1.1       184      865       0.6      303
Suffolk, NY..............          51.7         618.4       0.3       265    1,029      -0.4      329
Westchester, NY..........          36.2         402.6       0.3       265    1,430       5.4       27
Buncombe, NC.............           8.2         117.3       1.9       128      727       1.4      261
Catawba, NC..............           4.2          81.2       1.7       140      720       1.7      241
Cumberland, NC...........           6.2         117.5      -1.0       320      732      -2.0      338
Durham, NC...............           7.5         185.7       1.3       170    1,373       3.9       79
Forsyth, NC..............           9.0         175.8       1.0       195    1,029       9.6        3
Guilford, NC.............          14.1         267.9       0.9       207      883       1.7      241
Mecklenburg, NC..........          33.4         600.1       3.1        58    1,382       5.2       35
                                                                                                     
New Hanover, NC..........           7.4         100.0       2.2       110      775       1.6      248
Wake, NC.................          30.2         479.6       3.5        44    1,013       2.3      187
Cass, ND.................           6.5         110.6       3.0        64      869       3.8       84
Butler, OH...............           7.5         140.1       2.4        97      872       2.7      159
Cuyahoga, OH.............          35.4         696.5       0.0       282    1,054       4.0       73
Delaware, OH.............           4.6          79.6       0.4       260    1,123       4.0       73
Franklin, OH.............          29.8         686.6       1.9       128    1,024       4.1       72
Hamilton, OH.............          23.1         489.7       1.2       177    1,116       0.8      296
Lake, OH.................           6.3          92.2      -0.3       297      824       0.2      319
Lorain, OH...............           6.0          93.4       0.6       238      807       1.9      224
                                                                                                     
Lucas, OH................          10.0         201.2       1.4       162      867       2.0      215
Mahoning, OH.............           5.9          95.9       0.4       260      686       2.5      174
Montgomery, OH...........          11.9         241.8       0.9       207      854       2.2      199
Stark, OH................           8.7         155.1       0.9       207      751       2.2      199
Summit, OH...............          14.0         255.4       1.5       153      926       3.8       84
Warren, OH...............           4.4          80.1       4.1        25      862       2.7      159
Cleveland, OK............           5.2          78.7       2.3       102      693       1.8      230
Oklahoma, OK.............          26.0         436.4       0.7       224      971       3.9       79
Tulsa, OK................          21.3         337.1       0.7       224      976       4.7       47
Clackamas, OR............          13.1         143.1       1.4       162      875       3.1      132
                                                                                                     
Jackson, OR..............           6.7          77.7       2.0       118      733       5.0       39
Lane, OR.................          11.0         140.5       2.5        88      740       3.2      124
Marion, OR...............           9.6         135.1       3.4        47      757       2.3      187
Multnomah, OR............          30.8         458.5       3.3        50    1,009       2.2      199
Washington, OR...........          17.1         260.6       3.7        39    1,213       4.6       52
Allegheny, PA............          35.0         674.5      -0.6       312    1,130       4.5       53
Berks, PA................           8.9         164.7       0.6       238      867       4.0       73
Bucks, PA................          19.6         246.1       0.6       238      921       1.8      230
Butler, PA...............           5.0          83.4       0.6       238      905       1.0      288
Chester, PA..............          15.1         238.3       0.8       218    1,415      13.9        1
                                                                                                     
Cumberland, PA...........           6.1         124.5       0.5       253      921       3.3      117
Dauphin, PA..............           7.3         173.2      -0.1       290    1,038       4.5       53
Delaware, PA.............          13.7         214.1       1.2       177    1,121       5.5       25
Erie, PA.................           7.1         121.4      -0.5       307      759       0.1      323
Lackawanna, PA...........           5.9          96.3      -0.5       307      744       3.5      108
Lancaster, PA............          12.8         221.6       1.8       137      803       2.0      215
Lehigh, PA...............           8.6         176.2       0.7       224      979       3.4      111
Luzerne, PA..............           7.5         138.6       0.0       282      773       3.8       84
Montgomery, PA...........          27.1         465.9       0.3       265    1,346       4.2       69
Northampton, PA..........           6.6         104.4       1.1       184      874       3.8       84
                                                                                                     
Philadelphia, PA.........          34.6         634.3       0.3       265    1,187       2.9      143
Washington, PA...........           5.3          84.9       0.7       224    1,067       7.3        9
Westmoreland, PA.........           9.3         129.6      -0.7       315      772       1.8      230
York, PA.................           8.9         170.4       0.3       265      845       1.1      279
Providence, RI...........          17.4         272.0       1.5       153    1,057       5.6       23
Charleston, SC...........          12.4         222.1       2.8        78      863       2.9      143
Greenville, SC...........          12.8         244.0       4.4        17      855       2.6      167
Horry, SC................           7.9         110.1       2.5        88      571       1.4      261
Lexington, SC............           5.9         104.4       4.4        17      717      -0.1      325
Richland, SC.............           9.1         206.6       2.1       114      845       2.2      199
                                                                                                     
Spartanburg, SC..........           5.9         122.2       2.5        88      818       3.3      117
York, SC.................           4.8          81.0       6.4         2      785       2.5      174
Minnehaha, SD............           6.7         118.7       2.3       102      852       5.4       27
Davidson, TN.............          19.4         448.5       3.0        64    1,041       3.3      117
Hamilton, TN.............           8.7         184.1       0.2       275      863       2.3      187
Knox, TN.................          11.2         220.6       1.0       195      837       0.8      296
Rutherford, TN...........           4.7         110.6       3.9        31      837       2.3      187
Shelby, TN...............          19.4         470.1      -0.4       303    1,017       3.9       79
Williamson, TN...........           7.0         105.1       4.0        27    1,189      -0.9      333
Bell, TX.................           5.0         110.6       0.9       207      821       4.3       59
                                                                                                     
Bexar, TX................          36.7         784.5       2.3       102      917       3.0      136
Brazoria, TX.............           5.2          97.4       1.7       140    1,032       6.6       15
Brazos, TX...............           4.2          95.1       3.9        31      711       2.3      187
Cameron, TX..............           6.4         133.9       1.9       128      581       1.4      261
Collin, TX...............          20.9         337.0       4.3        19    1,213       2.5      174
Dallas, TX...............          70.8       1,515.6       3.1        58    1,281       5.4       27
Denton, TX...............          12.3         200.2       4.2        22      895       2.4      182
El Paso, TX..............          14.3         283.7       1.1       184      690       3.9       79
Fort Bend, TX............          10.9         159.5       4.8         9    1,034       4.0       73
Galveston, TX............           5.7         101.2       3.0        64      905       2.1      207
                                                                                                     
Gregg, TX................           4.2          76.9      -1.6       331      879       3.8       84
Harris, TX...............         107.5       2,226.8       3.0        64    1,399       4.7       47
Hidalgo, TX..............          11.8         238.5       1.4       162      597       2.9      143
Jefferson, TX............           5.8         120.7      -0.5       307    1,016       3.6      105
Lubbock, TX..............           7.2         130.0       2.0       118      750       4.7       47
McLennan, TX.............           4.9         101.9       0.0       282      781       2.2      199
Midland, TX..............           5.2          88.0       5.4         6    1,322       8.5        7
Montgomery, TX...........           9.8         154.8       5.2         7    1,022       2.5      174
Nueces, TX...............           8.1         161.8       1.5       153      867       3.8       84
Potter, TX...............           3.9          77.4       1.3       170      775       2.8      149
                                                                                                     
Smith, TX................           5.9          95.3       0.7       224      799       3.8       84
Tarrant, TX..............          39.6         814.0       2.0       118    1,010       5.5       25
Travis, TX...............          34.6         646.6       4.3        19    1,100       3.4      111
Webb, TX.................           5.0          93.5       2.2       110      650       3.2      124
Williamson, TX...........           8.7         143.5       4.3        19    1,127       6.7       14
Davis, UT................           7.6         110.7       3.4        47      778       1.0      288
Salt Lake, UT............          39.6         614.6       2.7        80      947       3.4      111
Utah, UT.................          13.6         189.6       4.7        11      771       5.9       21
Weber, UT................           5.6          94.3       1.4       162      721       4.9       41
Chittenden, VT...........           6.3          97.0       0.6       238      937       0.2      319
                                                                                                     
Arlington, VA............           8.8         163.1      -1.8       335    1,669       3.2      124
Chesterfield, VA.........           8.1         121.8       2.0       118      866       1.3      268
Fairfax, VA..............          35.3         576.4      -1.5       330    1,580       1.2      275
Henrico, VA..............          10.4         178.5       0.9       207    1,110       6.2       18
Loudoun, VA..............          10.5         145.9       1.5       153    1,244       3.9       79
Prince William, VA.......           8.2         116.3       0.6       238      832      -0.1      325
Alexandria City, VA......           6.3          93.8      -1.6       331    1,368       5.3       31
Chesapeake City, VA......           5.7          95.1       0.2       275      758      -0.7      331
Newport News City, VA....           3.7          97.9       1.1       184      989       2.8      149
Norfolk City, VA.........           5.6         134.2      -0.5       307      969       3.7       98
                                                                                                     
Richmond City, VA........           7.1         147.4       0.7       224    1,147       3.2      124
Virginia Beach City, VA..          11.3         167.2       0.5       253      769       1.5      252
Benton, WA...............           6.1          77.0       0.7       224      959       0.6      303
Clark, WA................          14.9         136.0       3.8        37      887       2.4      182
King, WA.................          88.8       1,214.7       3.3        50    1,353       4.7       47
Kitsap, WA...............           7.1          80.9       2.2       110      888       1.4      261
Pierce, WA...............          23.5         273.0       3.0        64      867       0.3      314
Snohomish, WA............          21.1         264.2       1.7       140    1,161       6.9       12
Spokane, WA..............          16.8         202.1       1.3       170      822       0.9      292
Thurston, WA.............           8.1         101.9       3.2        55      861       1.8      230
                                                                                                     
Whatcom, WA..............           7.4          82.1       1.5       153      801       3.1      132
Yakima, WA...............           9.2          99.2       2.4        97      653       2.0      215
Kanawha, WV..............           5.9         102.6      -1.3       325      845       2.7      159
Brown, WI................           6.5         146.2       0.6       238      881       5.3       31
Dane, WI.................          14.1         308.1       1.1       184      970       3.4      111
Milwaukee, WI............          24.5         471.3       0.0       282      992       2.0      215
Outagamie, WI............           5.0         101.0       0.4       260      827       2.6      167
Waukesha, WI.............          12.3         226.5       0.7       224      992       2.0      215
Winnebago, WI............           3.6          88.2      -1.0       320      928       2.4      182
San Juan, PR.............          11.2         256.0      -1.2       (5)      621       0.8      (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 72.0 percent of
the total covered workers in the U.S.






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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               first quarter 
         County by NAICS supersector               2014                     Percent            Percent
                                               (thousands)        March     change,     First  change,
                                                                  2014       March     quarter  first
                                                              (thousands)  2013-14(2)   2014   quarter
                                                                                              2013-14(2)


United States(3) ............................       9,358.3     134,555.0       1.7   $1,027       3.8
  Private industry...........................       9,064.0     113,150.6       2.1    1,035       4.1
    Natural resources and mining.............         135.2       1,920.1       2.5    1,249       6.4
    Construction.............................         748.0       5,721.2       4.2    1,002       2.6
    Manufacturing............................         338.0      12,033.7       0.9    1,266       3.4
    Trade, transportation, and utilities.....       1,910.1      25,564.3       2.1      842       3.1
    Information..............................         148.7       2,710.2       0.6    1,905       7.1
    Financial activities.....................         829.1       7,588.3       0.7    2,115      10.0
    Professional and business services.......       1,661.8      18,631.2       2.4    1,346       4.2
    Education and health services............       1,489.9      20,451.4       1.3      852       1.9
    Leisure and hospitality..................         789.7      14,134.7       3.0      388       1.8
    Other services...........................         805.0       4,172.3       1.7      641       3.2
  Government.................................         294.2      21,404.4      -0.2      983       2.5

Los Angeles, CA..............................         441.9       4,125.8       2.0    1,096       3.8
  Private industry...........................         436.2       3,587.4       2.2    1,073       4.0
    Natural resources and mining.............           0.5          10.4       1.1    1,730       8.3
    Construction.............................          12.8         117.3       2.5    1,065       1.3
    Manufacturing............................          12.5         363.2      -0.8    1,215       0.1
    Trade, transportation, and utilities.....          52.9         775.4       2.0      880       3.0
    Information..............................           9.1         198.4       1.7    2,084      10.3
    Financial activities.....................          23.6         206.9      -0.7    2,143      12.4
    Professional and business services.......          46.0         597.8       2.6    1,350       3.0
    Education and health services............         204.7         708.1       1.1      795       3.2
    Leisure and hospitality..................          29.6         450.5       5.6      551       2.4
    Other services...........................          26.5         144.2       3.1      646       2.4
  Government.................................           5.7         538.3       0.2    1,253       3.0

New York, NY.................................         125.9       2,453.1       2.5    2,749      12.0
  Private industry...........................         125.6       2,020.4       2.9    3,092      12.5
    Natural resources and mining.............           0.0           0.2       9.5    3,901      61.5
    Construction.............................           2.2          33.1      -0.4    1,702       2.0
    Manufacturing............................           2.3          25.1      -1.6    1,736      16.0
    Trade, transportation, and utilities.....          20.7         255.9       1.3    1,339       3.6
    Information..............................           4.6         145.9       1.8    3,207       9.0
    Financial activities.....................          19.1         354.2       1.7    9,261      21.0
    Professional and business services.......          26.5         509.7       3.1    2,603       6.4
    Education and health services............           9.6         324.1       3.3    1,206       1.8
    Leisure and hospitality..................          13.5         269.8       5.1      809       2.5
    Other services...........................          19.7          96.0       2.3    1,086       4.3
  Government.................................           0.3         432.7       0.4    1,147       2.6

Cook, IL.....................................         156.3       2,413.6       1.0    1,248       5.0
  Private industry...........................         155.0       2,120.7       1.4    1,258       5.4
    Natural resources and mining.............           0.1           0.7       4.9      855       2.0
    Construction.............................          12.8          58.8       3.9    1,323       2.3
    Manufacturing............................           6.7         185.7      -0.8    1,224       4.9
    Trade, transportation, and utilities.....          30.8         442.4       1.3      937       4.1
    Information..............................           2.8          53.0      -1.0    2,027       2.9
    Financial activities.....................          16.1         181.7      -0.2    3,270      16.9
    Professional and business services.......          33.3         433.7       2.6    1,539       1.2
    Education and health services............          16.4         421.6       1.1      878       0.3
    Leisure and hospitality..................          14.0         242.6       2.0      453       1.6
    Other services...........................          17.5          95.9       1.7      964      17.7
  Government.................................           1.3         292.9      -1.7    1,176       1.4

Harris, TX...................................         107.5       2,226.8       3.0    1,399       4.7
  Private industry...........................         107.0       1,962.6       3.0    1,447       4.9
    Natural resources and mining.............           1.8          92.9       6.0    4,113       7.0
    Construction.............................           6.7         150.4       4.1    1,314       4.5
    Manufacturing............................           4.7         193.8       2.3    1,648       3.1
    Trade, transportation, and utilities.....          24.2         458.1       3.1    1,291       3.5
    Information..............................           1.2          28.4       0.8    1,485       2.3
    Financial activities.....................          11.0         117.2       2.7    2,122       7.7
    Professional and business services.......          21.6         385.2       1.5    1,729       6.4
    Education and health services............          14.8         265.0       2.2      955       2.5
    Leisure and hospitality..................           9.0         207.8       5.4      413       0.5
    Other services...........................          11.6          62.8       2.9      769       6.7
  Government.................................           0.5         264.2       2.6    1,042       2.6

Maricopa, AZ.................................          92.9       1,749.9       2.3      977       3.3
  Private industry...........................          92.2       1,539.9       2.5      987       3.5
    Natural resources and mining.............           0.5           8.3      -0.1    1,194       1.1
    Construction.............................           7.3          91.8       3.4      980       4.6
    Manufacturing............................           3.2         114.3       0.7    1,502       2.4
    Trade, transportation, and utilities.....          20.3         345.1       2.9      894       2.4
    Information..............................           1.5          32.7       3.2    1,450      12.7
    Financial activities.....................          11.0         151.8       3.5    1,514       4.6
    Professional and business services.......          22.0         291.7       1.5    1,058       5.4
    Education and health services............          10.8         256.3       1.3      903       1.2
    Leisure and hospitality..................           7.4         198.1       4.1      440       2.1
    Other services...........................           6.4          47.7       2.2      670       5.8
  Government.................................           0.7         210.0       0.4      900       1.2

Dallas, TX...................................          70.8       1,515.6       3.1    1,281       5.4
  Private industry...........................          70.3       1,348.6       3.2    1,307       5.6
    Natural resources and mining.............           0.6           9.7       5.2    4,429      12.7
    Construction.............................           4.0          74.3       7.0    1,104       6.5
    Manufacturing............................           2.7         106.1      -3.3    1,606       3.4
    Trade, transportation, and utilities.....          15.3         303.2       4.7    1,085       4.9
    Information..............................           1.4          48.2       2.1    2,369       1.2
    Financial activities.....................           8.5         147.5       1.9    2,124      10.1
    Professional and business services.......          15.8         300.9       3.8    1,402       6.1
    Education and health services............           8.7         178.3       2.5    1,063       5.7
    Leisure and hospitality..................           6.1         140.6       4.5      482       4.1
    Other services...........................           6.8          39.3       2.1      731       2.2
  Government.................................           0.5         167.0       2.4    1,068       2.8

Orange, CA...................................         106.5       1,459.9       2.5    1,121       2.7
  Private industry...........................         105.2       1,315.1       2.6    1,100       2.9
    Natural resources and mining.............           0.2           3.6      -2.5      670       5.3
    Construction.............................           6.2          79.7       6.6    1,166       5.9
    Manufacturing............................           4.9         157.2      -0.6    1,426       4.3
    Trade, transportation, and utilities.....          16.6         249.8       1.7      983       1.2
    Information..............................           1.2          24.0      -2.3    1,810       4.3
    Financial activities.....................          10.3         111.7       0.0    1,839       4.7
    Professional and business services.......          20.1         269.7       3.8    1,336       4.6
    Education and health services............          26.5         184.6       2.3      861      -0.1
    Leisure and hospitality..................           7.7         188.6       3.9      438       2.6
    Other services...........................           6.4          41.9       3.0      636       2.3
  Government.................................           1.3         144.8       1.6    1,317       2.3

San Diego, CA................................          99.6       1,321.0       2.1    1,131       6.8
  Private industry...........................          98.2       1,100.6       2.3    1,115       7.8
    Natural resources and mining.............           0.7          10.0      -2.7      615       6.8
    Construction.............................           6.1          61.6       4.7    1,065       3.5
    Manufacturing............................           3.0          96.0       0.6    1,786      16.4
    Trade, transportation, and utilities.....          14.0         209.6       1.6      915       7.3
    Information..............................           1.2          24.4      -0.5    1,765       9.9
    Financial activities.....................           9.0          69.6      -2.1    1,665       8.2
    Professional and business services.......          17.6         226.0       2.0    1,642      11.9
    Education and health services............          27.5         181.7       1.8      870       1.6
    Leisure and hospitality..................           7.5         170.4       4.3      428       0.9
    Other services...........................           6.9          47.5       5.9      557       0.7
  Government.................................           1.4         220.3       0.9    1,213       2.8

King, WA.....................................          88.8       1,214.7       3.3    1,353       4.7
  Private industry...........................          88.2       1,054.3       3.6    1,373       4.8
    Natural resources and mining.............           0.4           2.4      -1.6    1,515      -4.7
    Construction.............................           5.9          53.4       7.7    1,166       0.1
    Manufacturing............................           2.3         104.9       0.8    1,921      10.5
    Trade, transportation, and utilities.....          15.0         225.4       4.7    1,159       4.1
    Information..............................           1.9          83.7       3.7    2,764       9.5
    Financial activities.....................           6.5          64.7       0.7    1,913       2.8
    Professional and business services.......          15.7         200.1       3.4    1,651       4.2
    Education and health services............          25.2         160.1       3.5      894       0.7
    Leisure and hospitality..................           6.8         119.3       4.3      473       4.2
    Other services...........................           8.6          40.2       3.7      803       1.9
  Government.................................           0.5         160.4       1.8    1,227       4.2

Miami-Dade, FL...............................          93.4       1,043.4       2.6      948       4.4
  Private industry...........................          93.0         906.3       3.1      933       4.7
    Natural resources and mining.............           0.5          10.4      11.3      478      -5.2
    Construction.............................           5.2          34.7       9.5      897       9.9
    Manufacturing............................           2.7          36.7       2.5      913       5.3
    Trade, transportation, and utilities.....          27.4         266.3       2.9      865       3.8
    Information..............................           1.6          18.0       3.4    1,571       7.0
    Financial activities.....................           9.8          70.3       4.3    1,787       9.4
    Professional and business services.......          19.7         140.5       3.2    1,103       4.6
    Education and health services............          10.2         160.8       0.8      904       1.8
    Leisure and hospitality..................           7.1         130.4       3.0      525       2.5
    Other services...........................           8.2          37.8       3.4      573       3.8
  Government.................................           0.3         137.1      -0.8    1,047       3.5
 
(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,
first quarter 2014


                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             first quarter
            State                2014                     Percent           Percent
                             (thousands)        March     change,   First   change,
                                                2014       March   quarter   first
                                             (thousands)  2013-14    2014   quarter
                                                                            2013-14

                                                                                   
United States(2)...........       9,358.3     134,555.0       1.7   $1,027      3.8
                                                                                   
Alabama....................         117.5       1,849.5       0.6      825      1.6
Alaska.....................          22.0         319.1       0.3    1,023      3.5
Arizona....................         145.8       2,540.8       1.9      918      3.1
Arkansas...................          87.2       1,152.6       0.3      784      2.5
California.................       1,377.6      15,572.9       2.8    1,165      4.5
Colorado...................         177.4       2,370.1       3.1    1,046      4.2
Connecticut................         113.5       1,627.2       0.5    1,362      3.3
Delaware...................          29.1         412.5       2.0    1,110      3.9
District of Columbia.......          35.6         727.3       1.2    1,701      5.3
Florida....................         633.6       7,752.4       2.9      868      3.0
                                                                                   
Georgia....................         280.1       3,974.8       2.6      972      3.4
Hawaii.....................          39.0         624.9       1.2      857      1.9
Idaho......................          54.0         631.5       3.3      722      3.9
Illinois...................         411.8       5,651.2       0.9    1,104      4.2
Indiana....................         159.6       2,842.5       1.2      845      1.7
Iowa.......................          98.8       1,485.4       1.5      824      3.0
Kansas.....................          84.8       1,343.0       1.7      840      4.1
Kentucky...................         120.0       1,784.1       1.1      811      2.7
Louisiana..................         129.5       1,909.8       1.2      868      2.6
Maine......................          48.8         565.9       0.7      786      1.9
                                                                                   
Maryland...................         166.3       2,512.8       0.1    1,086      1.8
Massachusetts..............         226.0       3,272.2       1.3    1,300      5.3
Michigan...................         236.6       4,013.5       1.7      950      3.1
Minnesota..................         164.6       2,652.3       0.8    1,036      3.4
Mississippi................          71.3       1,096.8       0.6      707      1.7
Missouri...................         182.4       2,634.6       1.0      866      2.9
Montana....................          43.7         429.9       0.7      730      3.3
Nebraska...................          70.2         930.7       1.7      797      2.6
Nevada.....................          75.6       1,183.5       3.4      867      2.7
New Hampshire..............          49.6         614.2       1.3      970      3.4
                                                                                   
New Jersey.................         265.3       3,794.3       0.6    1,263      2.2
New Mexico.................          56.2         787.0       0.2      793      1.9
New York...................         621.7       8,699.5       1.6    1,460      7.3
North Carolina.............         259.7       4,003.2       1.7      914      3.4
North Dakota...............          31.1         428.9       3.3      944      6.7
Ohio.......................         288.3       5,071.5       1.3      909      2.8
Oklahoma...................         106.8       1,565.2       0.7      854      3.9
Oregon.....................         135.9       1,688.5       2.8      893      3.4
Pennsylvania...............         348.2       5,560.9       0.3    1,007      4.1
Rhode Island...............          35.6         449.7       1.1      996      4.4
                                                                                   
South Carolina.............         118.7       1,873.6       2.7      787      1.9
South Dakota...............          31.7         400.2       1.4      741      4.5
Tennessee..................         145.0       2,718.2       1.7      874      2.2
Texas......................         616.5      11,220.6       2.6    1,062      4.5
Utah.......................          88.7       1,270.8       3.1      831      3.4
Vermont....................          24.4         301.1       0.5      807      1.9
Virginia...................         242.4       3,613.2       0.0    1,050      2.2
Washington.................         251.8       2,966.3       2.6    1,068      3.8
West Virginia..............          49.6         694.6      -0.9      779      1.4
Wisconsin..................         163.2       2,694.5       1.0      856      2.9
                                                                                   
Wyoming....................          25.5         275.4       1.0      877      2.1
                                                                                   
Puerto Rico................          48.3         914.9      -1.8      521      1.4
Virgin Islands.............           3.4          38.3      -3.6      744      2.6
 
(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
 
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and
Unemployment Compensation for Federal Employees (UCFE) programs.






Last Modified Date: September 18, 2014