County Employment and Wages News Release

For release 10:00 a.m. (EDT), Wednesday, June 17, 2015				USDL-15-1163

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

COUNTY EMPLOYMENT AND WAGES
Fourth Quarter 2014

From December 2013 to December 2014, employment increased in 319 of the 339 largest U.S. 
counties (counties with 75,000 or more jobs in 2013), the U.S. Bureau of Labor Statistics 
reported today. Weld, Colo., and Midland, Texas, had the largest percentage increases, with 
gains of 8.0 percent each over the year, compared with national job growth of 2.2 percent. 
Within Weld, the largest employment increase occurred in natural resources and mining, which 
gained 2,074 jobs over the year (19.6 percent). Within Midland, the largest employment 
increase also occurred in natural resources and mining, which gained 3,135 jobs over the year 
(14.9 percent). Atlantic, N.J., had the largest over-the-year percentage decrease in employment 
among the largest counties in the U.S. with a loss of 5.0 percent. County employment and wage 
data are compiled under the Quarterly Census of Employment and Wages (QCEW) program, which 
produces detailed information on county employment and wages within 6 months after the end of 
each quarter.

The U.S. average weekly wage increased 3.5 percent over the year, growing to $1,035 in the 
fourth quarter of 2014. Benton, Ark., had the largest over-the-year percentage increase in 
average weekly wages with a gain of 9.9 percent. Within Benton, an average weekly wage gain 
of $209, or 16.2 percent, in professional and business services made the largest contribution to 
the county’s increase in average weekly wages. San Mateo, Calif., experienced the largest 
percentage decrease in average weekly wages with a loss of 20.4 percent over the year.

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

--------------------------------------------------------------------------------------------------------
                                       Employment in large counties
--------------------------------------------------------------------------------------------------------
      December 2014 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |          December 2013-14        |          December 2013-14
                                  |            (thousands)           |
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 United States           139,204.8| United States             3,033.7| United States                 2.2
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 Los Angeles, Calif.       4,243.8| Harris, Texas                87.4| Weld, Colo.                   8.0
 New York, N.Y.            2,568.3| Los Angeles, Calif.          68.3| Midland, Texas                8.0
 Cook, Ill.                2,512.5| New York, N.Y.               66.8| Adams, Colo.                  6.4
 Harris, Texas             2,312.2| Dallas, Texas                64.8| Lee, Fla.                     6.2
 Maricopa, Ariz.           1,821.9| Maricopa, Ariz.              48.4| Williamson, Tenn.             6.1
 Dallas, Texas             1,591.0| Clark, Nev.                  41.0| Utah, Utah                    5.8
 Orange, Calif.            1,506.0| King, Wash.                  40.4| Denton, Texas                 5.7
 San Diego, Calif.         1,359.7| Cook, Ill.                   39.3| Montgomery, Texas             5.7
 King, Wash.               1,262.8| Orange, Calif.               38.1| Benton, Ark.                  5.5
 Miami-Dade, Fla.          1,082.5| Miami-Dade, Fla.             35.0| Fort Bend, Texas              5.5
--------------------------------------------------------------------------------------------------------

Large County Employment

In December 2014, national employment was 139.2 million (as measured by the QCEW 
program). Over the year, employment increased 2.2 percent, or 3.0 million. The 339 U.S. 
counties with 75,000 or more jobs accounted for 72.1 percent of total U.S. employment and 77.4 
percent of total wages. These 339 counties had a net job growth of 2.2 million over the year, 
accounting for 73.4 percent of the overall U.S. employment increase.

Weld, Colo., and Midland, Texas, had the largest percentage increases in employment (8.0 
percent each) among the largest U.S. counties. The five counties with the largest increases in 
employment levels were Harris, Texas; Los Angeles, Calif.; New York, N.Y.; Dallas, Texas; and 
Maricopa, Ariz. These counties had a combined over-the-year employment gain of 335,700 jobs, 
which was 11.1 percent of the overall job increase for the U.S. (See table A.)

Employment declined in 17 of the largest counties from December 2013 to December 2014. 
Atlantic, N.J., had the largest over-the-year percentage decrease in employment (-5.0 percent). 
Within Atlantic, leisure and hospitality had the largest decrease in employment, with a loss of 
7,333 jobs (-16.8 percent). Norfolk City, Va., had the second largest percentage decrease in 
employment, followed by McLean, Ill.; Peoria, Ill.; and Lake, Ill. (See table 1.)

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

--------------------------------------------------------------------------------------------------------
                                  Average weekly wage in large counties
--------------------------------------------------------------------------------------------------------
        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
        fourth quarter 2014       |    wage, fourth quarter 2013-14  |        weekly wage, fourth
                                  |                                  |          quarter 2013-14
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 United States              $1,035| United States                 $35| United States                 3.5
--------------------------------------------------------------------------------------------------------
                                  |                                  |
 San Mateo, Calif.          $2,166| Santa Clara, Calif.          $134| Benton, Ark.                  9.9
 New York, N.Y.              2,138| Midland, Texas                118| Washington, Pa.               9.2
 Santa Clara, Calif.         2,114| Suffolk, Mass.                108| Midland, Texas                9.0
 Suffolk, Mass.              1,856| Douglas, Colo.                100| Brazoria, Texas               8.9
 San Francisco, Calif.       1,850| New York, N.Y.                 91| Douglas, Colo.                8.8
 Washington, D.C.            1,696| Washington, Pa.                91| Clayton, Ga.                  7.6
 Fairfield, Conn.            1,674| Benton, Ark.                   90| Jefferson, Texas              7.6
 Arlington, Va.              1,613| San Francisco, Calif.          87| Rockingham, N.H.              7.4
 Fairfax, Va.                1,584| Brazoria, Texas                86| Yolo, Calif.                  7.1
 Somerset, N.J.              1,543| King, Wash.                    81| Vanderburgh, Ind.             7.0
                                  |                                  | Atlantic, N.J.                7.0
                                  |                                  | Hamilton, Tenn.               7.0
                                  |                                  | Nueces, Texas                 7.0
--------------------------------------------------------------------------------------------------------

Large County Average Weekly Wages

Average weekly wages for the nation increased to $1,035, a 3.5 percent increase, during the year 
ending in the fourth quarter of 2014. Among the 339 largest counties, 332 had over-the-year 
increases in average weekly wages. Benton, Ark., had the largest percentage wage increase 
among the largest U.S. counties (9.9 percent).

Of the 339 largest counties, 7 experienced over-the-year decreases in average weekly wages. San 
Mateo, Calif., had the largest percentage decrease in average weekly wages, with a loss of 20.4 
percent. Within San Mateo, information had the largest impact on the county’s average weekly 
wage decrease. Within this industry, average weekly wages declined by $8,606 (-60.1 percent) 
over the year. This decline in average weekly wages is partially due to wages returning to normal 
after higher levels in 2012 and 2013. Olmsted, Minn., had the second largest percentage decrease 
in average weekly wages, followed by Morris, N.J.; Rockland, N.Y.; Camden, N.J.; and Butler, 
Pa. (See table 1.)

Ten Largest U.S. Counties

All of the 10 largest counties had over-the-year percentage increases in employment in 
December 2014. Dallas, Texas, had the largest gain (4.2 percent). Within Dallas, trade, 
transportation, and utilities had the largest over-the-year employment level increase among all 
private industry groups with a gain of 17,303 jobs, or 5.5 percent. Cook, Ill., and Los Angeles, 
Calif., had the smallest percentage increases in employment (1.6 percent each) among the 10 
largest counties. (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, 
Wash., experienced the largest percentage gain in average weekly wages (6.2 percent). Within 
King, information had the largest impact on the county’s average weekly wage growth. Within 
this industry, average weekly wages increased by $421, or 16.5 percent, over the year. Maricopa, 
Ariz., had the smallest percentage increase in average weekly wages (2.2 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. December 2014 employment and 
2014 fourth 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 9.5 million employer reports cover 139.2 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 fourth quarter of 2014 will be available electronically later at 
www.bls.gov/cew/. For additional information about the quarterly employment and wages data, 
please read the Technical Note. Additional information about the QCEW data may be obtained 
by calling (202) 691-6567.

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

_____________
The County Employment and Wages release for first quarter 2015 is scheduled to be 
released on Thursday, September 17, 2015.






Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of 
Employment and Wages (QCEW) program, also known as the ES-202 program. The data are 
derived from summaries of employment and total pay of workers covered by state and federal 
unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The 
summaries are a result of the administration of state unemployment insurance programs that 
require most employers to pay quarterly taxes based on the employment and wages of workers 
covered by UI. QCEW data in this release are based on the 2012 North American Industry 
Classification System. Data for 2014 are preliminary and subject to revision.

For purposes of this release, large counties are defined as having employment levels of 75,000 or 
greater. In addition, data for San Juan, Puerto Rico, are provided, but not used in calculating U.S. 
averages, rankings, or in the analysis in the text. Each year, these large counties are selected on the 
basis of the preliminary annual average of employment for the previous year. The 340 counties 
presented in this release were derived using 2013 preliminary annual averages of employment. For 
2014 data, five counties have been added to the publication tables: Shelby, Ala.; Osceola, Fla.; 
Black Hawk, Iowa; Washington, Minn.; and Cleveland, Okla. These counties will be included in 
all 2014 quarterly releases. The counties in table 2 are selected and sorted each year based on the 
annual average employment from the preceding year.

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

Differences between QCEW, BED, and CES employment measures

The Bureau publishes three different establishment-based employment measures for any given 
quarter. Each of these measures-QCEW, Business Employment Dynamics (BED), and Current 
Employment Statistics (CES)-makes use of the quarterly UI employment reports in producing 
data; however, each measure has a somewhat different universe coverage, estimation procedure, 
and publication product.

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

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

--------------------------------------------------------------------------------- 
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  588,000 establish-
            |  submitted by 9.4   |  ministrative records|  ments
            |  million establish- |  submitted by 7.5    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2014    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -6 months after the|  -8 months after the |  -Usually first Friday
            |   end of each quar- |   end of each quarter|   of following month
            |   ter               |                      |
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation counts (bench- 
            |                     |  losses              |  marking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal national
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------

Coverage

Employment and wage data for workers covered by state UI laws are compiled from quarterly 
contribution reports submitted to the SWAs by employers. For federal civilian workers covered by 
the Unemployment Compensation for Federal Employees (UCFE) program, employment and 
wage data are compiled from quarterly reports submitted by four major federal payroll processing 
centers on behalf of all federal agencies, with the exception of a few agencies which still report 
directly to the individual SWA. In addition to the quarterly contribution reports, employers who 
operate multiple establishments within a state complete a questionnaire, called the "Multiple 
Worksite Report," which provides detailed information on the location and industry of each of their 
establishments. QCEW employment and wage data are derived from microdata summaries of 9.2 
million employer reports of employment and wages submitted by states to the BLS in 2013. These 
reports are based on place of employment rather than place of residence.

UI and UCFE coverage is broad and has been basically comparable from state to state since 1978, 
when the 1976 amendments to the Federal Unemployment Tax Act became effective, expanding 
coverage to include most State and local government employees. In 2013, UI and UCFE programs 
covered workers in 134.0 million jobs. The estimated 128.7 million workers in these jobs (after 
adjustment for multiple jobholders) represented 95.8 percent of civilian wage and salary 
employment. Covered workers received $6.673 trillion in pay, representing 93.7 percent of the 
wage and salary component of personal income and 39.8 percent of the gross domestic product.

Major exclusions from UI coverage include self-employed workers, most agricultural workers on 
small farms, all members of the Armed Forces, elected officials in most states, most employees of 
railroads, some domestic workers, most student workers at schools, and employees of certain small 
nonprofit organizations.

State and federal UI laws change periodically. These changes may have an impact on the 
employment and wages reported by employers covered under the UI program. Coverage changes 
may affect the over-the-year comparisons presented in this news release.

Concepts and methodology

Monthly employment is based on the number of workers who worked during or received pay for 
the pay period including the 12th of the month. With few exceptions, all employees of covered 
firms are reported, including production and sales workers, corporation officials, executives, 
supervisory personnel, and clerical workers. Workers on paid vacations and part-time workers also 
are included.

Average weekly wage values are calculated by dividing quarterly total wages by the average of the 
three monthly employment levels (all employees, as described above) and dividing the result by 
13, for the 13 weeks in the quarter. These calculations are made using unrounded employment and 
wage values. The average wage values that can be calculated using rounded data from the BLS 
database may differ from the averages reported. Included in the quarterly wage data are non-wage 
cash payments such as bonuses, the cash value of meals and lodging when supplied, tips and other 
gratuities, and, in some states, employer contributions to certain deferred compensation plans such 
as 401(k) plans and stock options. Over-the-year comparisons of average weekly wages may 
reflect fluctuations in average monthly employment and/or total quarterly wages between the 
current quarter and prior year levels.

Average weekly wages are affected by the ratio of full-time to part-time workers as well as the 
number of individuals in high-paying and low-paying occupations and the incidence of pay periods 
within a quarter. For instance, the average weekly wage of the workforce could increase 
significantly when there is a large decline in the number of employees that had been receiving 
below-average wages. Wages may include payments to workers not present in the employment 
counts because they did not work during the pay period including the 12th of the month. When 
comparing average weekly wage levels between industries, states, or quarters, these factors should 
be taken into consideration.

Wages measured by QCEW may be subject to periodic and sometimes large fluctuations. This 
variability may be due to calendar effects resulting from some quarters having more pay dates than 
others. The effect is most visible in counties with a dominant employer. In particular, this effect 
has been observed in counties where government employers represent a large fraction of overall 
employment. Similar calendar effects can result from private sector pay practices. However, these 
effects are typically less pronounced for two reasons: employment is less concentrated in a single 
private employer, and private employers use a variety of pay period types (weekly, biweekly, 
semimonthly, monthly).

For example, the effect on over-the-year pay comparisons can be pronounced in federal 
government due to the uniform nature of federal payroll processing. Most federal employees are 
paid on a biweekly pay schedule. As a result, in some quarters federal wages include six pay dates, 
while in other quarters there are seven pay dates. Over-the-year comparisons of average weekly 
wages may also reflect this calendar effect. Growth in average weekly wages may be attributed, in 
part, to a comparison of quarterly wages for the current year, which include seven pay dates, with 
year-ago wages that reflect only six pay dates. An opposite effect will occur when wages in the 
current quarter reflecting six pay dates are compared with year-ago wages for a quarter including 
seven pay dates.

In order to ensure the highest possible quality of data, states verify with employers and update, if 
necessary, the industry, location, and ownership classification of all establishments on a 3-year 
cycle. Changes in establishment classification codes resulting from this process are introduced with 
the data reported for the first quarter of the year. Changes resulting from improved employer 
reporting also are introduced in the first quarter.

QCEW data are not designed as a time series. QCEW data are simply the sums of individual 
establishment records and reflect the number of establishments that exist in a county or industry at 
a point in time. Establishments can move in or out of a county or industry for a number of 
reasons-some reflecting economic events, others reflecting administrative changes. For example, 
economic change would come from a firm relocating into the county; administrative change would 
come from a company correcting its county designation.

The over-the-year changes of employment and wages presented in this release have been adjusted 
to account for most of the administrative corrections made to the underlying establishment reports. 
This is done by modifying the prior-year levels used to calculate the over-the-year changes. 
Percent changes are calculated using an adjusted version of the final 2013 quarterly data as the 
base data. The adjusted prior-year levels used to calculate the over-the-year percent change in 
employment and wages are not published. These adjusted prior-year levels do not match the 
unadjusted data maintained on the BLS Web site. Over-the-year change calculations based on data 
from the Web site, or from data published in prior BLS news releases, may differ substantially 
from the over-the-year changes presented in this news release.

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

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

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

Additional statistics and other information

Employment and Wages Annual Averages Online features comprehensive information by detailed 
industry on establishments, employment, and wages for the nation and all states. The 2013 edition 
of this publication, which was published in September 2014, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2014 version of this news release. Tables and additional content from Employment and 
Wages Annual Averages 2013 are now available online at 
http://www.bls.gov/cew/cewbultn13.htm. The 2014 edition of Employment and Wages Annual 
Averages Online will be available in September 2015.

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

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






Table 1. Covered establishments, employment, and wages in the 340 largest counties,
fourth quarter 2014

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)         fourth quarter                Percent    Ranking            Percent   Ranking
                               2014         December    change,      by      Fourth   change,     by
                           (thousands)        2014      December   percent   quarter  fourth    percent
                                          (thousands)  2013-14(3)  change     2014    quarter   change
                                                                                     2013-14(3)

United States(4).........       9,479.2     139,204.8       2.2        -    $1,035       3.5       - 

Jefferson, AL............          17.8         342.7       0.2       311    1,026       3.3      191
Madison, AL..............           9.1         186.4       1.4       214    1,106       2.4      258
Mobile, AL...............           9.6         167.6       1.0       249      897       3.8      133
Montgomery, AL...........           6.3         129.7       0.1       317      901       2.4      258
Shelby, AL...............           5.1          80.6       3.1        84      978       3.7      143
Tuscaloosa, AL...........           4.3          91.9       4.3        28      869       2.8      231
Anchorage Borough, AK....           8.4         152.8       0.0       320    1,094       4.2       99
Maricopa, AZ.............          94.6       1,821.9       2.7       105      974       2.2      273
Pima, AZ.................          18.9         358.8       0.3       303      858       2.1      278
Benton, AR...............           5.8         108.3       5.5         9      996       9.9        1

Pulaski, AR..............          14.4         245.9       0.7       272      936       3.7      143
Washington, AR...........           5.7          98.1       3.5        66      896       4.3       87
Alameda, CA..............          58.0         708.7       2.8       104    1,319       4.4       81
Contra Costa, CA.........          30.1         344.1       1.8       174    1,215       2.1      278
Fresno, CA...............          31.3         349.4       0.6       284      808       4.9       50
Kern, CA.................          17.4         306.9       0.3       303      873       2.7      235
Los Angeles, CA..........         447.3       4,243.8       1.6       197    1,201       3.5      168
Marin, CA................          12.2         112.0       0.6       284    1,280       5.9       29
Monterey, CA.............          13.0         159.4       1.9       162      851       3.7      143
Orange, CA...............         109.5       1,506.0       2.6       112    1,162       4.3       87

Placer, CA...............          11.6         144.6       3.4        71    1,034       5.8       31
Riverside, CA............          54.3         641.2       3.5        66      803       4.0      113
Sacramento, CA...........          53.3         620.7       2.2       140    1,095       2.7      235
San Bernardino, CA.......          52.0         682.3       4.4        25      852       3.5      168
San Diego, CA............         102.1       1,359.7       1.9       162    1,138       2.6      244
San Francisco, CA........          58.2         659.1       4.4        25    1,850       4.9       50
San Joaquin, CA..........          16.9         217.7       2.5       118      835       2.5      248
San Luis Obispo, CA......           9.9         109.4       1.8       174      837       3.7      143
San Mateo, CA............          26.4         385.0       4.8        18    2,166     -20.4      339
Santa Barbara, CA........          14.7         186.5       2.5       118      981       4.9       50

Santa Clara, CA..........          66.9         999.3       3.6        57    2,114       6.8       15
Santa Cruz, CA...........           9.3          94.6       3.7        51      926       5.0       46
Solano, CA...............          10.4         129.6       1.7       183    1,026       0.9      322
Sonoma, CA...............          19.0         192.0       0.9       259      952       4.2       99
Stanislaus, CA...........          14.5         170.3       2.5       118      832       3.9      125
Tulare, CA...............           9.3         146.5       0.7       272      739       6.2       23
Ventura, CA..............          25.2         317.5       0.9       259    1,025       5.0       46
Yolo, CA.................           6.2          92.3       1.2       227    1,092       7.1       10
Adams, CO................           9.6         189.0       6.4         3      987       4.3       87
Arapahoe, CO.............          20.0         311.5       3.1        84    1,223       6.7       17

Boulder, CO..............          13.8         172.2       2.9        97    1,213       3.1      208
Denver, CO...............          28.4         474.3       5.0        13    1,247       1.8      300
Douglas, CO..............          10.5         110.3       3.6        57    1,240       8.8        5
El Paso, CO..............          17.4         252.9       2.5       118      916       3.4      179
Jefferson, CO............          18.3         226.2       3.5        66    1,042       4.0      113
Larimer, CO..............          10.8         144.3       4.3        28      962       6.8       15
Weld, CO.................           6.4         101.6       8.0         1      922       6.0       27
Fairfield, CT............          34.2         428.4       1.7       183    1,674       1.1      315
Hartford, CT.............          26.6         509.0       1.2       227    1,246       2.8      231
New Haven, CT............          23.1         365.5       1.1       236    1,087       4.5       73

New London, CT...........           7.1         121.2      -0.5       330    1,013       4.3       87
New Castle, DE...........          18.4         287.7       3.1        84    1,164       0.7      326
Washington, DC...........          36.8         736.9       1.6       197    1,696       3.0      220
Alachua, FL..............           6.9         122.6       2.7       105      888       2.7      235
Brevard, FL..............          15.1         193.1       1.6       197      885       2.0      291
Broward, FL..............          67.4         764.4       2.9        97      960       4.0      113
Collier, FL..............          12.8         137.8       5.0        13      891       3.1      208
Duval, FL................          28.0         469.1       2.5       118      988       4.3       87
Escambia, FL.............           8.2         125.2       1.6       197      817       5.3       37
Hillsborough, FL.........          40.0         643.8       3.3        75      979       2.1      278

Lake, FL.................           7.8          88.2       3.1        84      691       3.6      157
Lee, FL..................          20.3         237.9       6.2         4      803       2.4      258
Leon, FL.................           8.4         143.6       1.4       214      842       2.7      235
Manatee, FL..............          10.1         116.4       3.0        92      767       3.4      179
Marion, FL...............           8.2          96.6       3.1        84      707       2.5      248
Miami-Dade, FL...........          95.2       1,082.5       3.3        75    1,008       2.5      248
Okaloosa, FL.............           6.3          77.1       0.3       303      823       4.7       60
Orange, FL...............          39.0         751.4       3.4        71      895       3.8      133
Osceola, FL..............           6.1          83.0       2.9        97      687       3.9      125
Palm Beach, FL...........          53.3         565.1       3.8        46    1,006       1.0      319

Pasco, FL................          10.4         108.6       4.6        21      711       2.7      235
Pinellas, FL.............          31.8         405.0       2.1       151      928       1.9      297
Polk, FL.................          12.8         204.3       2.2       140      777       3.7      143
Sarasota, FL.............          15.3         158.6       5.1        12      860       3.2      199
Seminole, FL.............          14.4         173.1       3.7        51      843       3.4      179
Volusia, FL..............          13.8         158.9       2.6       112      729       4.0      113
Bibb, GA.................           4.5          83.7       2.3       130      802       4.7       60
Chatham, GA..............           8.3         142.4       4.6        21      871       2.7      235
Clayton, GA..............           4.4         115.6       3.8        46      977       7.6        7
Cobb, GA.................          22.9         332.6       4.1        36    1,081       3.6      157

De Kalb, GA..............          19.0         289.8       2.3       130    1,013       2.2      273
Fulton, GA...............          45.2         790.5       4.1        36    1,338       3.7      143
Gwinnett, GA.............          25.6         333.3       3.8        46      991       3.1      208
Muscogee, GA.............           4.8          95.1      -0.4       328      804       2.0      291
Richmond, GA.............           4.7         104.1       2.3       130      834       1.8      300
Honolulu, HI.............          24.9         466.6       0.5       291      945       4.0      113
Ada, ID..................          14.0         213.0       1.6       197      950       5.9       29
Champaign, IL............           4.5          89.7       0.5       291      868       5.2       41
Cook, IL.................         160.7       2,512.5       1.6       197    1,209       3.2      199
Du Page, IL..............          39.6         608.0       1.7       183    1,178       0.3      329

Kane, IL.................          14.3         205.6       0.3       303      912       4.5       73
Lake, IL.................          23.5         331.4      -0.6       335    1,341       2.8      231
McHenry, IL..............           9.2          95.8       0.0       320      847       2.5      248
McLean, IL...............           4.0          84.4      -0.9       336      968       1.3      313
Madison, IL..............           6.3          97.9       2.1       151      848       3.5      168
Peoria, IL...............           4.9         100.7      -0.9       336      954       1.8      300
St. Clair, IL............           5.8          93.8       1.3       223      799       2.4      258
Sangamon, IL.............           5.5         129.9       2.0       158    1,019       0.8      325
Will, IL.................          16.6         219.3       1.1       236      895       3.7      143
Winnebago, IL............           7.0         127.6       1.1       236      874       3.4      179

Allen, IN................           8.8         181.1       1.8       174      806       4.1      109
Elkhart, IN..............           4.7         122.6       4.3        28      837       6.6       19
Hamilton, IN.............           8.8         128.3       4.4        25      971       3.5      168
Lake, IN.................          10.2         187.9      -0.3       325      898       2.4      258
Marion, IN...............          23.5         587.9       1.6       197    1,004       3.1      208
St. Joseph, IN...........           5.8         120.0       1.7       183      807       2.5      248
Tippecanoe, IN...........           3.3          82.5       2.2       140      852       4.4       81
Vanderburgh, IN..........           4.8         107.3       1.9       162      852       7.0       11
Black Hawk, IA...........           3.8          75.5      -0.5       330      930       3.2      199
Johnson, IA..............           4.0          80.8       0.3       303      915       3.5      168

Linn, IA.................           6.6         130.0       1.4       214    1,018       6.3       21
Polk, IA.................          16.5         287.5       1.6       197    1,029       3.7      143
Scott, IA................           5.5          91.0       1.0       249      857       2.4      258
Johnson, KS..............          21.8         335.9       3.4        71    1,041       2.0      291
Sedgwick, KS.............          12.4         247.7       0.6       284      921       1.5      306
Shawnee, KS..............           4.9          97.2       0.7       272      826       2.4      258
Wyandotte, KS............           3.3          88.5       4.3        28      940       4.3       87
Boone, KY................           4.2          80.4       2.3       130      890       2.9      227
Fayette, KY..............          10.5         191.3       0.8       264      881       4.3       87
Jefferson, KY............          24.6         451.5       2.5       118      964       3.4      179

Caddo, LA................           7.3         117.3       1.2       227      861       3.9      125
Calcasieu, LA............           4.9          90.9       5.4        11      908       3.9      125
East Baton Rouge, LA.....          14.6         273.5       3.2        80      975       4.5       73
Jefferson, LA............          13.5         195.0       1.1       236      926       2.2      273
Lafayette, LA............           9.2         144.3       1.5       209    1,033       3.6      157
Orleans, LA..............          11.6         191.4       2.4       126      996       2.4      258
St. Tammany, LA..........           7.6          85.6       4.2        33      892       4.6       68
Cumberland, ME...........          12.8         175.3       1.0       249      951       5.2       41
Anne Arundel, MD.........          14.7         258.6       1.0       249    1,089       2.3      272
Baltimore, MD............          21.2         373.4       0.8       264    1,043       3.6      157

Frederick, MD............           6.3          97.4       1.0       249      968       2.1      278
Harford, MD..............           5.6          90.6       1.0       249      982       1.4      311
Howard, MD...............           9.5         161.8       1.1       236    1,243       3.6      157
Montgomery, MD...........          32.6         462.7       1.4       214    1,342       2.1      278
Prince Georges, MD.......          15.7         309.1       1.3       223    1,049       4.6       68
Baltimore City, MD.......          13.8         335.6       1.8       174    1,223       4.9       50
Barnstable, MA...........           9.2          88.7       2.2       140      887       3.7      143
Bristol, MA..............          16.8         222.8       1.9       162      962       6.3       21
Essex, MA................          23.1         318.6       1.4       214    1,096       4.3       87
Hampden, MA..............          16.8         203.8       1.4       214      947       4.3       87

Middlesex, MA............          52.2         875.4       2.6       112    1,482       3.6      157
Norfolk, MA..............          24.3         344.3       1.9       162    1,254       2.6      244
Plymouth, MA.............          14.7         186.3       2.6       112      982       3.8      133
Suffolk, MA..............          26.2         630.4       2.4       126    1,856       6.2       23
Worcester, MA............          23.1         334.7       2.1       151    1,030       3.4      179
Genesee, MI..............           7.0         135.8       0.9       259      837       3.1      208
Ingham, MI...............           6.1         151.4      -0.3       325      966       3.3      191
Kalamazoo, MI............           5.1         114.6       1.4       214      934       3.7      143
Kent, MI.................          14.0         371.3       3.1        84      909       3.4      179
Macomb, MI...............          17.3         312.7       2.1       151    1,025       1.5      306

Oakland, MI..............          38.3         704.8       1.6       197    1,164       4.0      113
Ottawa, MI...............           5.5         116.7       4.1        36      914       4.7       60
Saginaw, MI..............           4.0          84.8      -0.1       323      818       3.0      220
Washtenaw, MI............           8.1         203.9       1.9       162    1,069       4.2       99
Wayne, MI................          30.5         706.5       2.2       140    1,119       3.0      220
Anoka, MN................           7.0         118.5       1.7       183      949       5.3       37
Dakota, MN...............           9.7         183.9       1.8       174      984       5.4       35
Hennepin, MN.............          41.3         883.7       1.7       183    1,259       4.1      109
Olmsted, MN..............           3.4          92.6      -0.3       325    1,021      -5.5      338
Ramsey, MN...............          13.3         327.2       1.4       214    1,137       3.6      157

St. Louis, MN............           5.3          96.7       0.5       291      824       3.1      208
Stearns, MN..............           4.3          84.1       0.7       272      835       2.2      273
Washington, MN...........           5.3          77.8       0.9       259      834       3.5      168
Harrison, MS.............           4.5          82.9      -0.4       328      714       2.9      227
Hinds, MS................           6.0         121.1       0.8       264      871       1.0      319
Boone, MO................           4.8          91.6       2.3       130      791       3.3      191
Clay, MO.................           5.3          95.2       4.5        23      930       5.2       41
Greene, MO...............           8.3         161.4       2.6       112      773       5.0       46
Jackson, MO..............          20.2         354.4       0.9       259    1,031       3.0      220
St. Charles, MO..........           8.7         135.3       0.3       303      811       5.3       37

St. Louis, MO............          34.6         590.9       1.2       227    1,121       2.5      248
St. Louis City, MO.......          11.6         224.4       1.9       162    1,067       3.5      168
Yellowstone, MT..........           6.3          79.6       1.6       197      900       5.0       46
Douglas, NE..............          18.4         332.4       1.7       183      932       4.7       60
Lancaster, NE............           9.9         164.9       0.8       264      819       3.8      133
Clark, NV................          52.6         895.5       4.8        18      885       1.1      315
Washoe, NV...............          14.1         199.0       3.1        84      923       3.2      199
Hillsborough, NH.........          12.2         199.1       1.6       197    1,210       6.7       17
Rockingham, NH...........          10.7         142.6       1.7       183    1,060       7.4        9
Atlantic, NJ.............           6.6         124.1      -5.0       339      872       7.0       11

Bergen, NJ...............          32.8         448.4       0.7       272    1,291       4.2       99
Burlington, NJ...........          11.1         200.8       0.6       284    1,060       2.4      258
Camden, NJ...............          11.9         200.7       1.1       236    1,017      -0.8      334
Essex, NJ................          20.4         338.7       0.4       297    1,234       0.2      331
Gloucester, NJ...........           6.2         103.1       2.3       130      909       1.5      306
Hudson, NJ...............          14.3         244.1       1.7       183    1,335       3.9      125
Mercer, NJ...............          11.0         243.8       3.7        51    1,306       1.1      315
Middlesex, NJ............          21.9         401.6       1.0       249    1,217       2.4      258
Monmouth, NJ.............          20.0         252.1       2.5       118    1,053       1.7      303
Morris, NJ...............          17.0         284.6       0.2       311    1,512      -2.9      337

Ocean, NJ................          12.7         157.6       2.0       158      845       2.1      278
Passaic, NJ..............          12.3         170.6      -0.5       330    1,016       2.4      258
Somerset, NJ.............          10.0         183.4       2.2       140    1,543       3.6      157
Union, NJ................          14.3         223.5       0.5       291    1,341       4.5       73
Bernalillo, NM...........          17.8         317.6       0.7       272      873       4.4       81
Albany, NY...............          10.3         230.4       1.8       174    1,062       4.8       57
Bronx, NY................          17.8         257.1       3.2        80      958       2.5      248
Broome, NY...............           4.6          88.7       0.8       264      786       3.1      208
Dutchess, NY.............           8.5         111.4       0.7       272    1,000       4.6       68
Erie, NY.................          24.6         466.3       0.7       272      898       4.8       57

Kings, NY................          57.9         590.9       5.0        13      849       3.9      125
Monroe, NY...............          18.7         383.3       0.7       272      935       4.2       99
Nassau, NY...............          53.6         623.6       1.1       236    1,158       3.4      179
New York, NY.............         128.0       2,568.3       2.7       105    2,138       4.4       81
Oneida, NY...............           5.4         105.1       0.2       311      793       3.4      179
Onondaga, NY.............          13.2         246.2       0.2       311      938       3.0      220
Orange, NY...............          10.2         140.6       2.2       140      847       3.4      179
Queens, NY...............          50.0         569.4       3.9        42      974       1.7      303
Richmond, NY.............           9.6         101.4       0.8       264      888       4.6       68
Rockland, NY.............          10.3         120.2       2.3       130    1,052      -1.3      336

Saratoga, NY.............           5.9          82.6       1.9       162      908       2.5      248
Suffolk, NY..............          52.0         646.4       0.5       291    1,125       4.7       60
Westchester, NY..........          36.5         423.2       1.9       162    1,407       4.5       73
Buncombe, NC.............           8.3         122.9       3.4        71      797       4.9       50
Catawba, NC..............           4.3          83.2       1.7       183      760       4.0      113
Cumberland, NC...........           6.2         118.6       0.1       317      771       0.7      326
Durham, NC...............           7.7         192.2       2.2       140    1,271       1.0      319
Forsyth, NC..............           9.2         181.6       2.0       158      933       4.2       99
Guilford, NC.............          14.1         275.2       1.5       209      890       3.5      168
Mecklenburg, NC..........          34.0         630.4       3.8        46    1,125       2.5      248

New Hanover, NC..........           7.5         104.9       3.5        66      828       3.8      133
Wake, NC.................          30.9         503.3       3.9        42    1,008       2.4      258
Cass, ND.................           6.8         115.9       3.7        51      935       4.5       73
Butler, OH...............           7.6         146.9       2.9        97      875       3.1      208
Cuyahoga, OH.............          35.4         717.9       0.4       297    1,050       3.7      143
Delaware, OH.............           4.7          82.8       0.4       297      968       0.9      322
Franklin, OH.............          30.3         727.9       2.9        97      998       2.9      227
Hamilton, OH.............          23.2         505.9       1.8       174    1,139       6.1       26
Lake, OH.................           6.3          95.4       0.8       264      861       5.5       33
Lorain, OH...............           6.0          96.8       0.6       284      816       2.1      278

Lucas, OH................          10.0         208.1       0.6       284      896       5.4       35
Mahoning, OH.............           5.9          99.8       1.0       249      734       3.8      133
Montgomery, OH...........          11.9         250.5       1.9       162      879       2.1      278
Stark, OH................           8.7         160.3       1.5       209      789       4.0      113
Summit, OH...............          14.0         264.6       1.2       227      914       4.2       99
Warren, OH...............           4.5          82.5       2.1       151      880       5.3       37
Cleveland, OK............           5.3          81.5       2.1       151      762       4.7       60
Oklahoma, OK.............          26.7         452.2       2.3       130      981       2.0      291
Tulsa, OK................          21.5         350.6       2.7       105      952       0.3      329
Clackamas, OR............          13.5         148.3       3.0        92      939       2.6      244

Jackson, OR..............           6.9          82.6       3.6        57      747       3.3      191
Lane, OR.................          11.4         145.4       2.7       105      796       3.2      199
Marion, OR...............           9.9         140.6       3.7        51      811       4.2       99
Multnomah, OR............          31.8         476.8       3.6        57    1,030       2.4      258
Washington, OR...........          17.5         271.0       2.6       112    1,231       6.0       27
Allegheny, PA............          35.3         688.8      -0.1       323    1,096       2.5      248
Berks, PA................           8.9         169.5       1.7       183      913       4.6       68
Bucks, PA................          19.7         254.9       1.7       183    1,001       4.2       99
Butler, PA...............           5.0          85.0       0.7       272      937      -0.8      334
Chester, PA..............          15.2         243.9       1.2       227    1,333       3.3      191

Cumberland, PA...........           6.2         129.7       2.5       118      922       3.6      157
Dauphin, PA..............           7.3         177.2       1.2       227      996       2.6      244
Delaware, PA.............          13.9         221.1       1.7       183    1,084       1.1      315
Erie, PA.................           7.2         125.2       1.0       249      806       4.1      109
Lackawanna, PA...........           5.9          98.5       0.3       303      765       3.2      199
Lancaster, PA............          13.0         230.2       3.0        92      853       3.0      220
Lehigh, PA...............           8.6         184.2       0.4       297    1,033       7.8        6
Luzerne, PA..............           7.5         141.5       0.7       272      781       2.9      227
Montgomery, PA...........          27.4         481.4       1.1       236    1,262       3.8      133
Northampton, PA..........           6.6         107.8       2.0       158      881       3.6      157

Philadelphia, PA.........          34.8         652.5       2.2       140    1,210       2.2      273
Washington, PA...........           5.4          87.7       1.5       209    1,085       9.2        2
Westmoreland, PA.........           9.3         133.4       1.0       249      829       4.1      109
York, PA.................           9.0         174.2       0.7       272      875       4.5       73
Providence, RI...........          17.4         283.5       2.1       151    1,062       4.4       81
Charleston, SC...........          12.9         232.2       4.3        28      880       4.3       87
Greenville, SC...........          13.1         254.6       5.0        13      880       2.7      235
Horry, SC................           8.1         111.3       3.6        57      610       3.7      143
Lexington, SC............           6.0         114.4       2.4       126      765       5.2       41
Richland, SC.............           9.4         213.2       3.2        80      862       1.9      297

Spartanburg, SC..........           5.9         126.5       2.9        97      862       4.5       73
York, SC.................           5.1          83.1       4.9        17      806       0.9      322
Minnehaha, SD............           6.8         122.7       2.2       140      878       3.8      133
Davidson, TN.............          20.1         467.8       3.6        57    1,076       1.5      306
Hamilton, TN.............           9.0         189.7       1.1       236      974       7.0       11
Knox, TN.................          11.4         230.2       3.0        92      923       5.2       41
Rutherford, TN...........           4.9         115.7       3.9        42      908       3.2      199
Shelby, TN...............          19.8         489.7       1.4       214    1,041       2.1      278
Williamson, TN...........           7.4         112.1       6.1         5    1,231       4.9       50
Bell, TX.................           5.0         112.9       0.5       291      812       2.7      235

Bexar, TX................          37.4         811.5       3.2        80      910       3.4      179
Brazoria, TX.............           5.3         101.2       4.1        36    1,047       8.9        4
Brazos, TX...............           4.2          99.0       4.8        18      772       4.0      113
Cameron, TX..............           6.4         135.6       1.6       197      621       3.8      133
Collin, TX...............          21.6         354.7       3.6        57    1,186       3.2      199
Dallas, TX...............          71.8       1,591.0       4.2        33    1,233       3.1      208
Denton, TX...............          12.8         211.4       5.7         7      938       6.6       19
El Paso, TX..............          14.4         289.1       1.2       227      707       3.2      199
Fort Bend, TX............          11.3         170.3       5.5         9    1,048       3.5      168
Galveston, TX............           5.7         102.5       2.3       130      918       4.7       60

Gregg, TX................           4.2          80.5       3.3        75      940       2.8      231
Harris, TX...............         109.5       2,312.2       3.9        42    1,373       4.3       87
Hidalgo, TX..............          11.9         246.5       2.3       130      641       3.6      157
Jefferson, TX............           5.8         126.4       4.5        23    1,079       7.6        7
Lubbock, TX..............           7.3         133.6       1.9       162      803       4.4       81
McLennan, TX.............           5.0         106.7       1.7       183      832       4.0      113
Midland, TX..............           5.4          94.7       8.0         1    1,425       9.0        3
Montgomery, TX...........          10.1         164.6       5.7         7    1,044       3.9      125
Nueces, TX...............           8.2         166.7       3.6        57      936       7.0       11
Potter, TX...............           4.0          79.1       1.2       227      830       3.5      168

Smith, TX................           6.0         100.4       3.8        46      872       2.0      291
Tarrant, TX..............          40.3         842.8       3.1        84    1,019       3.3      191
Travis, TX...............          35.8         669.4       4.2        33    1,170       4.7       60
Webb, TX.................           5.0          97.8       3.6        57      696       4.2       99
Williamson, TX...........           9.1         148.3       2.7       105      960       0.7      326
Davis, UT................           7.9         115.7       3.5        66      802       4.3       87
Salt Lake, UT............          41.6         639.7       2.4       126      983       5.5       33
Utah, UT.................          14.3         202.3       5.8         6      810      -0.5      333
Weber, UT................           5.7          97.3       3.0        92      750       4.0      113
Chittenden, VT...........           6.4         101.6       1.3       223    1,032       3.9      125

Arlington, VA............           8.6         165.7       0.0       320    1,613       1.5      306
Chesterfield, VA.........           8.0         129.6       1.1       236      876       0.2      331
Fairfax, VA..............          34.6         586.8       0.2       311    1,584       2.0      291
Henrico, VA..............          10.3         182.3       2.7       105      977       3.3      191
Loudoun, VA..............          10.5         150.1       1.1       236    1,204       1.3      313
Prince William, VA.......           8.3         120.5       1.3       223      891       3.0      220
Alexandria City, VA......           6.1          95.9       0.3       303    1,464       3.7      143
Chesapeake City, VA......           5.6          97.0       0.1       317      792       2.1      278
Newport News City, VA....           3.6          99.0      -0.5       330      960       3.4      179
Norfolk City, VA.........           5.4         135.0      -1.1       338    1,001       5.6       32

Richmond City, VA........           7.0         149.1       0.4       297    1,101       3.5      168
Virginia Beach City, VA..          11.1         171.2       1.1       236      809       3.3      191
Benton, WA...............           5.7          79.7       3.7        51      997       1.9      297
Clark, WA................          14.0         142.9       4.1        36      927       3.7      143
King, WA.................          84.9       1,262.8       3.3        75    1,384       6.2       23
Kitsap, WA...............           6.7          83.5       1.8       174      870       3.1      208
Pierce, WA...............          21.8         284.1       2.9        97      887       2.1      278
Snohomish, WA............          20.4         271.9       1.9       162    1,071       4.8       57
Spokane, WA..............          15.8         208.5       2.2       140      839       2.1      278
Thurston, WA.............           7.9         105.2       3.3        75      876       2.1      278

Whatcom, WA..............           7.1          84.6       1.8       174      805       2.4      258
Yakima, WA...............           8.0          99.7       4.0        41      708       3.1      208
Kanawha, WV..............           6.0         105.0       0.2       311      868       2.7      235
Brown, WI................           6.4         150.3       0.4       297      931       4.0      113
Dane, WI.................          14.1         319.5       1.5       209    1,020       1.6      305
Milwaukee, WI............          25.2         484.6       0.6       284    1,010       4.9       50
Outagamie, WI............           4.9         104.7       1.1       236      865       3.8      133
Waukesha, WI.............          12.3         234.0       0.8       264    1,026       3.1      208
Winnebago, WI............           3.5          90.1      -0.5       330      974       1.4      311
San Juan, PR.............          11.4         262.7      -1.6       (5)      659       0.2      (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 72.1 percent of
the total covered workers in the U.S.






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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                              fourth quarter 
         County by NAICS supersector               2014                    Percent             Percent
                                               (thousands)      December   change,    Fourth   change,
                                                                  2014     December   quarter  fourth
                                                              (thousands)  2013-14(2)  2014    quarter
                                                                                              2013-14(2)

United States(3) ............................       9,479.2     139,204.8       2.2   $1,035       3.5
  Private industry...........................       9,184.9     117,701.2       2.6    1,042       3.6
    Natural resources and mining.............         137.6       1,989.9       3.4    1,215       5.0
    Construction.............................         760.5       6,192.9       5.6    1,174       5.0
    Manufacturing............................         339.9      12,255.7       1.5    1,268       4.1
    Trade, transportation, and utilities.....       1,920.3      27,247.3       2.2      863       4.0
    Information..............................         153.7       2,756.5       0.7    1,755       0.0
    Financial activities.....................         841.8       7,759.4       1.2    1,664       4.7
    Professional and business services.......       1,702.8      19,532.8       3.3    1,377       3.1
    Education and health services............       1,498.4      20,926.8       2.0      941       3.1
    Leisure and hospitality..................         800.1      14,502.5       2.6      438       3.8
    Other services...........................         820.2       4,255.2       2.0      688       3.8
  Government.................................         294.3      21,503.6       0.5      997       3.2

Los Angeles, CA..............................         447.3       4,243.8       1.6    1,201       3.5
  Private industry...........................         441.5       3,698.0       1.6    1,189       3.5
    Natural resources and mining.............           0.5           9.5      -4.4    1,472     -15.8
    Construction.............................          13.4         119.4       1.0    1,218       4.4
    Manufacturing............................          12.5         358.2      -2.5    1,228       4.0
    Trade, transportation, and utilities.....          53.6         820.4       1.3      938       2.6
    Information..............................           9.7         198.9       0.2    2,285       4.4
    Financial activities.....................          24.7         209.7      -0.8    1,850       5.5
    Professional and business services.......          48.1         612.8      -0.1    1,536       6.7
    Education and health services............         204.0         724.0       2.4      898       2.4
    Leisure and hospitality..................          31.0         469.8       3.3      964       0.2
    Other services...........................          27.9         146.6       2.3      704       4.1
  Government.................................           5.7         545.8       1.6    1,283       4.1

New York, NY.................................         128.0       2,568.3       2.7    2,138       4.4
  Private industry...........................         127.6       2,127.8       3.1    2,337       4.2
    Natural resources and mining.............           0.0           0.2      -0.7    1,976       0.2
    Construction.............................           2.2          35.2       4.2    2,230       7.1
    Manufacturing............................           2.2          25.9      -0.8    1,577       2.4
    Trade, transportation, and utilities.....          20.6         279.1       2.1    1,439       2.9
    Information..............................           4.8         153.8       1.9    2,715       7.4
    Financial activities.....................          19.3         363.6       1.8    4,984       4.9
    Professional and business services.......          27.1         537.0       3.2    2,550       4.4
    Education and health services............           9.8         334.2       3.7    1,301       2.6
    Leisure and hospitality..................          13.7         289.6       3.9      981       6.1
    Other services...........................          20.3         101.7       3.4    1,142       2.4
  Government.................................           0.4         440.4       0.8    1,184       4.7

Cook, IL.....................................         160.7       2,512.5       1.6    1,209       3.2
  Private industry...........................         159.4       2,215.9       1.8    1,212       3.4
    Natural resources and mining.............           0.1           0.9      11.5    1,294      17.5
    Construction.............................          13.3          68.9      10.1    1,606       6.0
    Manufacturing............................           6.8         186.3      -0.1    1,307       5.7
    Trade, transportation, and utilities.....          31.8         478.6       2.0      937       2.2
    Information..............................           2.9          55.0       2.3    1,663      -1.5
    Financial activities.....................          16.3         185.0       0.3    2,215       1.7
    Professional and business services.......          34.3         460.2       1.4    1,594       4.3
    Education and health services............          16.8         428.2       1.6    1,006       5.1
    Leisure and hospitality..................          14.5         251.6       2.2      496       2.3
    Other services...........................          18.2          97.5       1.9      897       3.8
  Government.................................           1.3         296.6       0.3    1,187       1.2

Harris, TX...................................         109.5       2,312.2       3.9    1,373       4.3
  Private industry...........................         108.9       2,045.5       4.2    1,412       4.2
    Natural resources and mining.............           1.8          95.0       4.5    3,321      -1.7
    Construction.............................           6.9         159.6       9.6    1,465       7.8
    Manufacturing............................           4.7         201.7       4.4    1,673       6.8
    Trade, transportation, and utilities.....          24.7         488.4       4.0    1,210       4.5
    Information..............................           1.2          28.3      -3.3    1,518       5.9
    Financial activities.....................          11.3         119.8       1.7    1,758       5.3
    Professional and business services.......          22.1         399.9       3.2    1,788       4.4
    Education and health services............          14.9         275.9       3.9    1,056       4.6
    Leisure and hospitality..................           9.2         211.4       5.0      454       3.4
    Other services...........................          11.7          64.6       4.9      816       6.5
  Government.................................           0.6         266.7       1.8    1,077       4.3

Maricopa, AZ.................................          94.6       1,821.9       2.7      974       2.2
  Private industry...........................          93.9       1,609.5       2.9      973       2.2
    Natural resources and mining.............           0.5           8.5       3.5      918      -1.8
    Construction.............................           7.3          93.5       0.4    1,072       3.5
    Manufacturing............................           3.2         114.8       0.7    1,375       5.5
    Trade, transportation, and utilities.....          20.1         369.1       2.4      873       1.9
    Information..............................           1.6          34.2       5.5    1,261       2.0
    Financial activities.....................          11.2         157.0       3.2    1,229       3.1
    Professional and business services.......          22.2         314.5       3.4    1,090       1.3
    Education and health services............          10.8         268.6       3.8    1,007      -0.2
    Leisure and hospitality..................           7.5         197.9       3.0      463       5.7
    Other services...........................           6.4          48.4       1.7      687       2.2
  Government.................................           0.7         212.5       1.2      986       2.8

Dallas, TX...................................          71.8       1,591.0       4.2    1,233       3.1
  Private industry...........................          71.3       1,421.2       4.5    1,250       3.1
    Natural resources and mining.............           0.6          10.1       4.6    3,902       5.5
    Construction.............................           4.1          78.6       7.6    1,243       6.9
    Manufacturing............................           2.7         107.8       1.1    1,445       5.1
    Trade, transportation, and utilities.....          15.5         331.2       5.5    1,066       1.1
    Information..............................           1.4          49.6       0.0    1,780       0.5
    Financial activities.....................           8.6         153.8       2.7    1,694       6.9
    Professional and business services.......          16.2         319.1       5.7    1,496       3.0
    Education and health services............           8.8         184.4       4.1    1,071       3.0
    Leisure and hospitality..................           6.2         145.6       5.2      510      -1.0
    Other services...........................           6.8          40.5       2.1      793       2.9
  Government.................................           0.5         169.8       2.2    1,090       2.5

Orange, CA...................................         109.5       1,506.0       2.6    1,162       4.3
  Private industry...........................         108.1       1,367.6       2.6    1,167       4.4
    Natural resources and mining.............           0.2           3.0      -2.0      887      22.2
    Construction.............................           6.5          83.2       5.2    1,288       4.0
    Manufacturing............................           4.9         158.8      -0.1    1,482      10.1
    Trade, transportation, and utilities.....          16.7         266.9       2.0    1,030       3.7
    Information..............................           1.2          23.5      -4.4    1,825       9.0
    Financial activities.....................          10.8         114.6       1.4    1,958       2.6
    Professional and business services.......          20.7         282.3       2.2    1,384       4.4
    Education and health services............          27.5         188.8       2.3      990       1.6
    Leisure and hospitality..................           7.9         193.7       2.8      469       7.8
    Other services...........................           6.8          42.8       2.1      710       3.3
  Government.................................           1.3         138.4       2.5    1,109       3.4

San Diego, CA................................         102.1       1,359.7       1.9    1,138       2.6
  Private industry...........................         100.7       1,139.0       2.2    1,127       2.1
    Natural resources and mining.............           0.7           9.5       2.6      695       5.1
    Construction.............................           6.4          64.6       3.0    1,185       5.8
    Manufacturing............................           3.0          97.4       0.9    1,589       4.7
    Trade, transportation, and utilities.....          14.1         223.9       0.8      838       3.8
    Information..............................           1.2          23.9      -3.9    1,677      -1.5
    Financial activities.....................           9.5          70.5      -0.9    1,493       8.7
    Professional and business services.......          18.3         231.2       1.3    1,784      -1.1
    Education and health services............          28.2         185.9       3.0      979       2.6
    Leisure and hospitality..................           7.6         175.4       2.6      460       4.3
    Other services...........................           7.3          48.7       3.7      606       4.1
  Government.................................           1.4         220.7       0.6    1,193       5.5

King, WA.....................................          84.9       1,262.8       3.3    1,384       6.2
  Private industry...........................          84.4       1,100.7       3.6    1,402       6.4
    Natural resources and mining.............           0.4           2.5       2.5    1,417       4.6
    Construction.............................           6.1          60.6      13.1    1,315       3.7
    Manufacturing............................           2.3         105.8       0.2    1,640       6.8
    Trade, transportation, and utilities.....          14.9         241.7       4.3    1,170       5.1
    Information..............................           2.0          85.0       2.0    2,974      16.5
    Financial activities.....................           6.5          65.9       1.3    1,766      10.8
    Professional and business services.......          16.1         211.6       4.8    1,766       3.3
    Education and health services............          20.5         162.6       2.9      970       2.1
    Leisure and hospitality..................           6.9         123.7       2.5      544       2.1
    Other services...........................           8.6          41.3       2.7      822       2.9
  Government.................................           0.6         162.1       1.4    1,267       5.0

Miami-Dade, FL...............................          95.2       1,082.5       3.3    1,008       2.5
  Private industry...........................          94.9         946.2       4.0      986       2.4
    Natural resources and mining.............           0.5           9.3       0.2      593       8.2
    Construction.............................           5.5          37.8      11.1      986       4.4
    Manufacturing............................           2.7          37.5       2.2      989       3.9
    Trade, transportation, and utilities.....          27.5         284.2       3.4      884      -0.6
    Information..............................           1.6          18.3       0.5    1,532       3.0
    Financial activities.....................          10.0          73.8       5.1    1,583       4.4
    Professional and business services.......          20.0         147.7       5.3    1,312       2.3
    Education and health services............          10.1         164.7       2.4      980       4.0
    Leisure and hospitality..................           7.2         132.1       3.4      569       2.5
    Other services...........................           8.2          38.8       4.5      616       2.8
  Government.................................           0.3         136.3      -1.2    1,162       4.5

(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,
fourth quarter 2014

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                            fourth quarter
            State                2014                     Percent           Percent
                             (thousands)      December    change,   Fourth  change,
                                                2014      December  quarter fourth
                                             (thousands)  2013-14    2014   quarter
                                                                            2013-14

United States(2)...........       9,479.2     139,204.8       2.2   $1,035      3.5

Alabama....................         118.0       1,891.4       1.3      881      3.5
Alaska.....................          22.4         317.6       0.8    1,063      4.0
Arizona....................         148.9       2,630.8       2.2      926      2.3
Arkansas...................          87.4       1,180.5       2.2      807      4.5
California.................       1,403.6      16,068.5       2.6    1,209      2.9
Colorado...................         180.7       2,478.0       3.9    1,066      4.1
Connecticut................         114.7       1,681.2       1.2    1,278      2.7
Delaware...................          30.0         433.0       2.9    1,049      1.5
District of Columbia.......          36.8         736.9       0.9    1,696      3.7
Florida....................         649.0       8,009.6       3.5      911      3.1

Georgia....................         286.3       4,131.9       3.7      958      3.8
Hawaii.....................          39.3         638.3       0.7      908      4.2
Idaho......................          55.2         650.7       2.5      782      4.0
Illinois...................         421.9       5,844.1       1.4    1,089      2.8
Indiana....................         159.2       2,946.5       1.7      846      3.9
Iowa.......................         100.3       1,527.6       1.1      870      4.3
Kansas.....................          86.2       1,377.2       1.3      855      2.6
Kentucky...................         121.6       1,852.2       1.8      836      4.1
Louisiana..................         126.5       1,954.0       2.1      923      3.8
Maine......................          49.6         592.7       0.9      826      5.1

Maryland...................         166.1       2,590.3       1.3    1,113      3.5
Massachusetts..............         236.1       3,415.6       2.2    1,315      4.5
Michigan...................         237.6       4,158.9       2.1      984      3.3
Minnesota..................         167.0       2,762.9       1.4    1,024      3.6
Mississippi................          72.1       1,118.6       1.0      747      2.3
Missouri...................         187.9       2,709.8       1.5      891      3.4
Montana....................          44.5         442.2       0.5      794      4.5
Nebraska...................          70.4         958.1       1.4      837      5.2
Nevada.....................          77.2       1,229.6       4.2      899      1.6
New Hampshire..............          50.8         638.0       1.4    1,081      6.3

New Jersey.................         266.1       3,933.6       1.3    1,211      2.0
New Mexico.................          56.1         808.4       1.3      850      4.4
New York...................         627.6       9,067.6       2.0    1,321      4.3
North Carolina.............         261.7       4,141.8       2.4      890      3.4
North Dakota...............          32.1         454.8       4.5    1,050      7.1
Ohio.......................         289.4       5,264.3       1.6      922      3.9
Oklahoma...................         107.9       1,614.3       2.1      876      2.8
Oregon.....................         140.0       1,755.4       3.2      928      3.8
Pennsylvania...............         351.2       5,716.5       1.2    1,013      3.7
Rhode Island...............          36.0         471.5       1.9    1,003      4.5

South Carolina.............         120.1       1,931.4       2.9      817      3.2
South Dakota...............          32.2         412.5       1.3      791      4.2
Tennessee..................         147.9       2,822.1       2.4      927      3.5
Texas......................         627.9      11,662.7       3.7    1,070      4.3
Utah.......................          92.6       1,324.2       3.0      872      4.3
Vermont....................          24.6         311.0       0.7      882      4.1
Virginia...................         237.5       3,691.4       0.6    1,057      2.8
Washington.................         238.1       3,069.7       3.2    1,082      4.5
West Virginia..............          50.0         712.0       0.1      818      3.3
Wisconsin..................         167.5       2,789.3       1.3      894      3.4

Wyoming....................          25.5         283.6       1.5      952      3.9

Puerto Rico................          49.0         944.2      -1.5      556      0.7
Virgin Islands.............           3.5          38.5      -0.3      746     -1.2

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

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






Last Modified Date: June 17, 2015