County Employment and Wages News Release

For release 10:00 a.m. (EDT), Thursday, June 27, 2013 USDL-13-1244 
 
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 2012 
 
From December 2011 to December 2012, employment increased in 287 of 
the 328 largest U.S. counties, the U.S. Bureau of Labor Statistics 
reported today. Elkhart, Ind., posted the largest increase, with a 
gain of 7.4 percent over the year, compared with national job growth 
of 1.9 percent. Within Elkhart, the largest employment increase 
occurred in manufacturing, which gained 5,479 jobs over the year 
(11.6 percent). Sangamon, Ill., had the largest over-the-year 
decrease in employment among the largest counties in the U.S. with a 
loss of 2.5 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 7 months after the end of each quarter.

The U.S. average weekly wage increased over the year by 4.7 percent 
to $1,000 in the fourth quarter of 2012. San Mateo, Calif., had the 
largest over-the-year increase in average weekly wages with a gain of 
107.3 percent. Within San Mateo, a total wage gain of $6.9 billion 
(379.6 percent) in professional and business services had the largest 
contribution to the increase in average weekly wages. Lake, Ohio, 
experienced the largest decrease in average weekly wages with a loss 
of 3.2 percent over the year. 

Table A.  Large counties ranked by December 2012 employment, December 2011-12 employment 
increase, and December 2011-12 percent increase in employment  

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                                       Employment in large counties
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      December 2012 employment    |      Increase in employment,     |  Percent increase in employment, 
            (thousands)           |          December 2011-12        |          December 2011-12
                                  |            (thousands)           |                  
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States           133,726.8| United States             2,440.6| United States                 1.9
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                                  |                                  |                                  
 Los Angeles, Calif.       4,082.2| Harris, Texas                82.2| Elkhart, Ind.                 7.4
 Cook, Ill.                2,441.2| Los Angeles, Calif.          74.2| Lexington, S.C.               6.9
 New York, N.Y.            2,437.9| New York, N.Y.               50.2| Rutherford, Tenn.             6.4
 Harris, Texas             2,160.8| Dallas, Texas                49.6| Utah, Utah                    6.0
 Maricopa, Ariz.           1,721.1| Maricopa, Ariz.              46.0| Montgomery, Texas             5.7
 Dallas, Texas             1,499.2| Orange, Calif.               37.9| Fort Bend, Texas              5.3
 Orange, Calif.            1,436.6| King, Wash.                  34.5| Douglas, Colo.                5.1
 San Diego, Calif.         1,302.0| Santa Clara, Calif.          33.0| Collin, Texas                 4.8
 King, Wash.               1,185.3| San Diego, Calif.            29.2| Brazos, Texas                 4.4
 Miami-Dade, Fla.          1,020.6| Cook, Ill.                   28.9| Travis, Texas                 4.3
                                  |                                  | Salt Lake, Utah               4.3
                                  |                                  |                                  
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Large County Employment 

In December 2012, national employment, as measured by the QCEW 
program, was 133.7 million, up by 1.9 percent or 2.4 million from 
December 2011. The 328 U.S. counties with 75,000 or more jobs 
accounted for 71.3 percent of total U.S. employment and 77.0 percent 
of total wages. These 328 counties had a net job growth of 1.8 
million over the year, accounting for 73.3 percent of the overall 
U.S. employment increase.  

Elkhart, Ind., had the largest percentage increase in employment (7.4 
percent) among the largest U.S. counties. The five counties with the 
largest increases in employment level 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 
302,200, which was 12.4 percent of the overall job increase for the 
U.S. (See table A.) 

Employment declined in 38 of the large counties from December 2011 to 
December 2012. Sangamon, Ill., had the largest over-the-year 
percentage decrease in employment (-2.5 percent). Within Sangamon, 
public administration within state government had the largest 
decrease in employment with a loss of 1,067 jobs (-2.9 percent). 
Caddo, La., had the second largest percentage decrease in employment, 
followed by Jefferson, Texas. Two counties, Vanderburgh, Ind., and 
Benton, Wash., tied for the fourth largest percentage decrease. (See 
table 1.) 

Table B.  Large counties ranked by fourth quarter 2012 average weekly wages, fourth quarter 2011-12
increase in average weekly wages, and fourth quarter 2011-12 percent increase in average weekly wages 

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                                  Average weekly wage in large counties
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        Average weekly wage,      |    Increase in average weekly    |    Percent increase in average 
        fourth quarter 2012       |    wage, fourth quarter 2011-12  |        weekly wage, fourth
                                  |                                  |          quarter 2011-12
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 United States              $1,000| United States                 $45| United States                 4.7
--------------------------------------------------------------------------------------------------------
                                  |                                  |                                  
 San Mateo, Calif.          $3,240| San Mateo, Calif.          $1,677| San Mateo, Calif.           107.3
 New York, N.Y.              2,107| Douglas, Colo.                516| Douglas, Colo.               48.0
 Santa Clara, Calif.         1,906| New York, N.Y.                217| Virginia Beach City, Va.     13.3
 Suffolk, Mass.              1,724| Suffolk, Mass.                127| Rockingham, N.H.             12.0
 Fairfield, Conn.            1,704| San Francisco, Calif.         119| New York, N.Y.               11.5
 Washington, D.C.            1,703| Rockingham, N.H.              111| Washington, Pa.              11.5
 San Francisco, Calif.       1,694| Fairfield, Conn.              109| McHenry, Ill.                11.2
 Arlington, Va.              1,625| Washington, Pa.               105| Utah, Utah                    9.4
 Douglas, Colo.              1,591| Virginia Beach City, Va.      101| Elkhart, Ind.                 8.9
 Fairfax, Va.                1,588| Santa Clara, Calif.            91| Yolo, Calif.                  8.6
                                  | McHenry, Ill.                  91|                                  
                                  | Harris, Texas                  91|                                  
                                  |                                  |                                  
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Large County Average Weekly Wages 

Average weekly wages for the nation increased by 4.7 percent during 
the year ending in the fourth quarter of 2012. Among the 328 largest 
counties, 316 had over-the-year increases in average weekly wages. 
San Mateo, Calif., had the largest wage increase among the largest 
U.S. counties (107.3 percent).  

Of the 328 largest counties, 10 experienced over-the-year decreases 
in average weekly wages. Lake, Ohio, had the largest average weekly 
wage decrease with a loss of 3.2 percent. Within Lake, total wages in 
manufacturing declined by $45.3 million (-12.3 percent) over the 
year. Passaic, N.J., had the second largest decrease in average 
weekly wages, followed by Genesee, Mich.; Atlantic, N.J.; and Benton, 
Wash. (See table 1.) 

Ten Largest U.S. Counties 

All of the 10 largest counties had over-the-year percentage increases 
in employment in December 2012. Harris, Texas, had the largest gain 
(4.0 percent). Within Harris, professional and business services had 
the largest over-the-year employment level increase among all private 
industry groups with a gain of 20,112 jobs (5.9 percent). Cook, Ill., 
had the smallest percentage increase in employment (1.2 percent) 
among the 10 largest counties. (See table 2.) 

All of the 10 largest U.S. counties had over-the-year increases in 
average weekly wages. New York, N.Y., experienced the largest gain in 
average weekly wages (11.5 percent). Within New York, financial 
activities had the largest impact on the county’s average weekly wage 
growth. Within this industry, employment declined by 2,288 (-0.6 
percent) while total wages increased by $4.8 billion (25.6 percent). 
Maricopa, Ariz., had the smallest average weekly wage increase (3.4 
percent) among the 10 largest counties. 

For More Information 

The tables included in this release contain data for the nation and 
for the 328 U.S. counties with annual average employment levels of 
75,000 or more in 2011. December 2012 employment and 2012 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 9.2 million employer reports cover 133.7 million full- 
and part-time workers. For additional information about the quarterly 
employment and wages data, please read the Technical Note. Data for 
the fourth quarter of 2012 will be available later at 
http://www.bls.gov/cew/. 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 
http://www.bls.gov/cew/cewregional.htm. 

_____________
The County Employment and Wages release for first quarter 2013 is 
scheduled to be released on Thursday, September 26, 2013. 

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  |                                                                    |
  |                          Hurricane Sandy                           |
  |                                                                    |
  | Hurricane Sandy made landfall in the United States on October 29,  |
  | 2012, during the QCEW fourth quarter reference period. This event  |
  | did not warrant changes to QCEW methodology.                       |
  |                                                                    |
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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 2012 are preliminary and subject to revision. 

For purposes of this release, large counties are defined as having employment le-
vels of 75,000 or greater. In addition, data for San Juan, Puerto Rico, are pro-
vided, 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 prelimi-
nary annual average of employment for the previous year. The 329 counties presented 
in this release were derived using 2011 preliminary annual averages of employment. 
For 2012 data, seven counties have been added to the publication tables: Okaloosa, 
Fla.; Tippecanoe, Ind.; Johnson, Iowa; St. Tammany, La.; Saratoga, N.Y.; Delaware, 
Ohio; and Gregg, Texas. These counties will be included in all 2012 quarterly re-
leases. One county, Jackson, Ore., which was published in the 2011 releases, will 
be excluded from this and future 2012 releases because its 2011 annual average 
employment levels were less than 75,000. The counties in table 2 are selected and 
sorted each year based on the annual average employment from the preceding year. 

The preliminary QCEW data presented in this release may differ from data released 
by the individual states. These potential differences result from the states' con-
tinuing 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 dif-
ferences and the intended uses of the program products. (See table.) Additional in-
formation 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 9.2   |  ministrative records|  ments
            |  million establish- |  submitted by 6.8    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2012    |  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  |  -7 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 estimates to 
            |                     |  losses              |  population counts (ben-
            |                     |                      |  chmarking)
 -----------|---------------------|----------------------|------------------------
 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 ci-
vilian workers covered by the Unemployment Compensation for Federal Employees 
(UCFE) program, employment and wage data are compiled from quarterly reports sub-
mitted 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 9.1 million employer reports of employment and wages 
submitted by states to the BLS in 2011. These reports are based on place of employ-
ment 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 ef-
fective, expanding coverage to include most State and local government employees. 
In 2011, UI and UCFE programs covered workers in 129.4 million jobs. The estimated 
124.8 million workers in these jobs (after adjustment for multiple jobholders) 
represented 95.7 percent of civilian wage and salary employment. Covered workers 
received $6.217 trillion in pay, representing 93.3 percent of the wage and salary 
component of personal income and 41.2 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. Cover-
age changes may affect the over-the-year comparisons presented in this news re-
lease. 
 
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 av-
erages 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 compen-
sation 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 work force 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 week-
ly 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 employ-
ers 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 indi-
vidual 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 un-
derlying 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 2011 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 un-
adjusted 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 re-
lease. 

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 estab-
lishments. The most common adjustments for administrative change are the result of 
updated information about the county location of individual establishments. In-
cluded 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. 

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 Stan-
dards 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 2011 edition of this publication, which was published in October 2012, 
contains selected data produced by Business Employment Dynamics (BED) on job gains 
and losses, as well as selected data from the first quarter 2012 version of this 
news release. Tables and additional content from Employment and Wages Annual Aver-
ages 2011 are now available online at http://www.bls.gov/cew/cewbultn11.htm. The 
2012 edition of Employment and Wages Annual Averages Online will be available later 
in 2013.

News releases on quarterly measures of gross job flows also are available upon re-
quest 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(1) establishments, employment, and wages in the 329 largest counties,
fourth quarter 2012(2)
                                                                                                       
                                                                                                       
                                                     Employment               Average weekly wage(4)   
                                                                                                       
                          Establishments,                                                              
        County(3)          fourth quarter               Percent   Ranking            Percent   Ranking 
                                2012        December    change,      by     Fourth   change,      by   
                            (thousands)       2012     December   percent  quarter   fourth    percent 
                                          (thousands) 2011-12(5)   change    2012    quarter    change 
                                                                                   2011-12(5)          
                                                                                                       
                                                                                                       
United States(6).........       9,205.6     133,726.8       1.9         -   $1,000       4.7         - 
                                                                                                       
Jefferson, AL............          17.8         339.3       0.9       223    1,011       5.0        71 
Madison, AL..............           9.0         181.4       1.4       181    1,077       1.5       265 
Mobile, AL...............           9.7         165.3       0.1       280      881       0.6       301 
Montgomery, AL...........           6.4         128.4       1.0       213      883       0.3       306 
Tuscaloosa, AL...........           4.3          86.4       2.3        94      848       2.3       219 
Anchorage Borough, AK....           8.3         153.1       0.6       244    1,046       3.9       119 
Maricopa, AZ.............          95.2       1,721.1       2.7        69      964       3.4       150 
Pima, AZ.................          19.0         353.5       1.5       172      839       2.1       234 
Benton, AR...............           5.6          99.2       1.9       134      900       3.9       119 
Pulaski, AR..............          14.5         246.3       1.0       213      927       6.9        24 
                                                                                                       
Washington, AR...........           5.6          94.6       3.7        23      837       0.8       294 
Alameda, CA..............          54.7         670.7       4.0        17    1,265       3.9       119 
Contra Costa, CA.........          29.0         331.8       2.9        59    1,168       2.9       183 
Fresno, CA...............          29.2         335.2       1.8       143      777       2.9       183 
Kern, CA.................          17.0         295.3       3.0        52      842       2.1       234 
Los Angeles, CA..........         421.5       4,082.2       1.9       134    1,185       6.6        29 
Marin, CA................          11.7         109.0       3.8        20    1,225       3.4       150 
Monterey, CA.............          12.4         152.4       3.2        41      809       1.4       271 
Orange, CA...............         104.2       1,436.6       2.7        69    1,131       4.4        91 
Placer, CA...............          10.9         132.5       2.8        65      979       4.5        85 
                                                                                                       
Riverside, CA............          49.2         585.6       3.4        33      765       1.5       265 
Sacramento, CA...........          50.1         595.1       2.7        69    1,056       1.3       276 
San Bernardino, CA.......          48.6         629.4       2.2       106      830       2.6       202 
San Diego, CA............         100.5       1,302.0       2.3        94    1,099       5.5        45 
San Francisco, CA........          54.7         603.3       4.2        12    1,694       7.6        15 
San Joaquin, CA..........          16.3         205.2       1.5       172      810       1.6       261 
San Luis Obispo, CA......           9.5         103.9       4.1        15      809       1.3       276 
San Mateo, CA............          24.8         349.2       3.6        25    3,240     107.3         1 
Santa Barbara, CA........          14.3         180.5       3.6        25      961       7.4        17 
Santa Clara, CA..........          63.0         928.0       3.7        23    1,906       5.0        71 
                                                                                                       
Santa Cruz, CA...........           8.9          90.4       3.5        29      849       0.1       313 
Solano, CA...............           9.7         123.9       3.3        39      998       7.4        17 
Sonoma, CA...............          18.3         179.8       3.2        41      918       2.6       202 
Stanislaus, CA...........          13.8         162.3       2.5        80      793       2.3       219 
Tulare, CA...............           8.9         139.8       0.4       265      697       3.6       139 
Ventura, CA..............          23.9         311.0       3.1        48      984       3.3       157 
Yolo, CA.................           6.0          89.4       1.2       194      997       8.6        10 
Adams, CO................           9.0         162.3       3.3        39      886       3.1       166 
Arapahoe, CO.............          19.2         292.3       3.5        29    1,159       4.5        85 
Boulder, CO..............          13.3         163.5       2.5        80    1,134       2.0       246 
                                                                                                       
Denver, CO...............          26.5         443.1       4.2        12    1,222       4.6        81 
Douglas, CO..............           9.9          98.5       5.1         7    1,591      48.0         2 
El Paso, CO..............          17.0         241.2       1.9       134      884       0.8       294 
Jefferson, CO............          18.0         215.8       2.6        76    1,010       5.1        64 
Larimer, CO..............          10.3         134.0       2.7        69      887       4.1       104 
Weld, CO.................           5.9          86.9       4.2        12      831       2.8       189 
Fairfield, CT............          33.1         416.4       1.0       213    1,704       6.8        26 
Hartford, CT.............          25.8         499.9       1.2       194    1,210       5.1        64 
New Haven, CT............          22.6         361.7       1.2       194    1,034       2.9       183 
New London, CT...........           7.0         123.3      -0.6       308      971       1.5       265 
                                                                                                       
New Castle, DE...........          17.1         272.7       1.0       213    1,178       7.0        21 
Washington, DC...........          36.8         721.5       1.7       154    1,703       2.2       227 
Alachua, FL..............           6.6         117.9       1.0       213      843       2.1       234 
Brevard, FL..............          14.5         188.7      -1.1       316      874       1.0       290 
Broward, FL..............          64.5         720.5       2.3        94      920       3.4       150 
Collier, FL..............          12.1         125.6       2.0       123      839       4.1       104 
Duval, FL................          27.5         449.6       2.0       123      953       5.0        71 
Escambia, FL.............           8.0         120.6       0.6       244      787       2.7       193 
Hillsborough, FL.........          38.7         604.4       2.5        80      953       3.5       146 
Lake, FL.................           7.4          83.9       3.5        29      653       1.1       287 
                                                                                                       
Lee, FL..................          19.1         210.6       2.7        69      774       2.2       227 
Leon, FL.................           8.3         140.2       0.8       236      810       0.2       308 
Manatee, FL..............           9.5         110.2       2.8        65      733      -0.1       319 
Marion, FL...............           8.0          92.5       2.6        76      688       2.1       234 
Miami-Dade, FL...........          91.3       1,020.6       2.3        94      976       4.1       104 
Okaloosa, FL.............           6.1          75.4      -0.1       291      779       2.6       202 
Orange, FL...............          36.9         698.7       3.2        41      860       3.9       119 
Palm Beach, FL...........          50.6         522.9       2.1       114    1,003       7.6        15 
Pasco, FL................          10.1         102.2       2.1       114      681       2.6       202 
Pinellas, FL.............          31.1         389.9       1.6       162      901       1.7       256 
                                                                                                       
Polk, FL.................          12.4         194.6       1.4       181      740       3.1       166 
Sarasota, FL.............          14.7         142.5       3.2        41      824       3.1       166 
Seminole, FL.............          14.0         162.0       1.8       143      818       5.1        64 
Volusia, FL..............          13.4         150.8       0.8       236      709       4.9        76 
Bibb, GA.................           4.6          81.4       1.2       194      760       2.3       219 
Chatham, GA..............           7.8         134.2       2.0       123      828       2.3       219 
Clayton, GA..............           4.3         112.0      -0.1       291      914       1.4       271 
Cobb, GA.................          21.8         306.0       1.1       207    1,033       4.3        94 
De Kalb, GA..............          18.2         278.8      -0.1       291    1,026       4.4        91 
Fulton, GA...............          42.4         738.0       3.1        48    1,317       7.2        20 
                                                                                                       
Gwinnett, GA.............          24.5         312.0       1.6       162      968       4.8        78 
Muscogee, GA.............           4.7          94.6       0.1       280      783       3.2       161 
Richmond, GA.............           4.7          99.3       0.2       274      826       3.0       173 
Honolulu, HI.............          24.8         455.0       1.8       143      908       3.1       166 
Ada, ID..................          13.6         202.4       2.7        69      843       1.0       290 
Champaign, IL............           4.3          88.1       0.6       244      806       2.5       209 
Cook, IL.................         150.3       2,441.2       1.2       194    1,184       5.3        60 
Du Page, IL..............          37.4         578.3       2.1       114    1,168       4.5        85 
Kane, IL.................          13.4         195.7       1.2       194      874       2.0       246 
Lake, IL.................          22.3         326.3       2.1       114    1,272       6.7        28 
                                                                                                       
McHenry, IL..............           8.7          93.6       0.8       236      907      11.2         7 
McLean, IL...............           3.8          87.3       1.5       172      948       1.2       281 
Madison, IL..............           6.0          94.7      -0.4       305      804       1.5       265 
Peoria, IL...............           4.7         103.7       0.6       244      936       1.1       287 
St. Clair, IL............           5.6          94.0      -1.2       318      781       0.4       303 
Sangamon, IL.............           5.3         126.8      -2.5       328      986       3.0       173 
Will, IL.................          15.4         204.8       0.7       242      847       2.8       189 
Winnebago, IL............           6.8         124.6      -0.9       315      824       1.2       281 
Allen, IN................           9.0         177.8       1.8       143      774      -0.3       322 
Elkhart, IN..............           4.8         112.6       7.4         1      782       8.9         9 
                                                                                                       
Hamilton, IN.............           8.6         115.3       1.7       154      921       5.3        60 
Lake, IN.................          10.4         191.3       1.3       186      902       3.9       119 
Marion, IN...............          24.1         570.6       2.3        94      992       4.2       100 
St. Joseph, IN...........           6.0         117.2      -0.6       308      786       4.4        91 
Tippecanoe, IN...........           3.3          79.7       1.9       134      809       0.1       313 
Vanderburgh, IN..........           4.8         105.3      -1.5       324      792       0.9       293 
Johnson, IA..............           3.7          79.1       2.3        94      854       3.5       146 
Linn, IA.................           6.3         127.3       0.1       280      948       0.7       298 
Polk, IA.................          15.3         274.1       1.6       162      981       4.1       104 
Scott, IA................           5.3          89.0       1.2       194      845       5.5        45 
                                                                                                       
Johnson, KS..............          21.3         316.2       2.7        69    1,046       6.1        38 
Sedgwick, KS.............          12.4         243.5       1.4       181      915       4.1       104 
Shawnee, KS..............           4.8          95.4       0.4       265      856       8.5        11 
Wyandotte, KS............           3.2          84.2       1.6       162      874       0.3       306 
Fayette, KY..............           9.8         183.7       2.2       106      852       2.0       246 
Jefferson, KY............          23.2         436.8       3.8        20      936       2.3       219 
Caddo, LA................           7.5         119.2      -2.4       327      818       0.2       308 
Calcasieu, LA............           4.9          84.6       2.9        59      846       3.4       150 
East Baton Rouge, LA.....          14.7         262.3       2.1       114      948       6.9        24 
Jefferson, LA............          13.7         195.5      -0.3       301      916       2.6       202 
                                                                                                       
Lafayette, LA............           9.1         139.1       1.9       134      989       4.0       115 
Orleans, LA..............          11.2         180.7       2.2       106      992       1.2       281 
St. Tammany, LA..........           7.5          80.9       2.0       123      843       4.5        85 
Cumberland, ME...........          12.7         172.4       0.9       223      890       2.9       183 
Anne Arundel, MD.........          14.8         244.7       2.6        76    1,050       1.9       251 
Baltimore, MD............          21.4         371.0       1.2       194    1,014       2.7       193 
Frederick, MD............           6.3          94.5       1.9       134      963       2.3       219 
Harford, MD..............           5.7          89.1       2.2       106      974       4.8        78 
Howard, MD...............           9.4         161.8       2.3        94    1,212       3.5       146 
Montgomery, MD...........          33.8         456.9       0.6       244    1,345       1.9       251 
                                                                                                       
Prince Georges, MD.......          15.9         304.4      -0.2       295    1,019       0.2       308 
Baltimore City, MD.......          14.2         333.0       0.2       274    1,180       6.1        38 
Barnstable, MA...........           8.9          85.3       2.5        80      842       2.1       234 
Bristol, MA..............          16.0         213.4       0.4       265      901       5.5        45 
Essex, MA................          21.7         309.3       1.5       172    1,056       2.2       227 
Hampden, MA..............          15.5         197.4       0.2       274      898       3.9       119 
Middlesex, MA............          49.4         841.1       1.9       134    1,434       4.5        85 
Norfolk, MA..............          23.4         328.3       1.5       172    1,212       4.6        81 
Plymouth, MA.............          14.0         179.0       2.5        80      924       2.3       219 
Suffolk, MA..............          23.6         602.9       1.6       162    1,724       8.0        12 
                                                                                                       
Worcester, MA............          21.4         319.2      -0.3       301      964      -0.1       319 
Genesee, MI..............           7.3         131.9       0.9       223      816      -1.7       326 
Ingham, MI...............           6.4         155.8       0.1       280      924       1.7       256 
Kalamazoo, MI............           5.4         110.9       0.9       223      892       4.0       115 
Kent, MI.................          14.2         341.8       3.0        52      879       2.9       183 
Macomb, MI...............          17.4         294.7       1.7       154    1,012       1.2       281 
Oakland, MI..............          38.8         675.6       3.4        33    1,141       3.4       150 
Ottawa, MI...............           5.6         110.1       3.8        20      831       0.1       313 
Saginaw, MI..............           4.2          84.6       0.5       257      789       0.8       294 
Washtenaw, MI............           8.2         198.6       2.3        94    1,030       3.6       139 
                                                                                                       
Wayne, MI................          31.9         696.3       1.1       207    1,083       0.6       301 
Anoka, MN................           7.2         112.7       2.1       114      900       3.0       173 
Dakota, MN...............          10.0         174.8       1.8       143      943       4.9        76 
Hennepin, MN.............          42.4         857.2       1.9       134    1,236       6.5        31 
Olmsted, MN..............           3.4          92.4       3.2        41    1,047       1.7       256 
Ramsey, MN...............          14.0         321.0       0.6       244    1,071       4.1       104 
St. Louis, MN............           5.6          94.9       1.7       154      776       0.1       313 
Stearns, MN..............           4.4          81.7       1.2       194      799       5.5        45 
Harrison, MS.............           4.4          82.5      -0.2       295      693       1.0       290 
Hinds, MS................           6.0         120.9      -1.3       319      856       3.8       128 
                                                                                                       
Boone, MO................           4.6          87.7       2.4        91      762       4.0       115 
Clay, MO.................           5.2          86.3      -1.4       320      879       1.9       251 
Greene, MO...............           8.1         156.0       2.9        59      737       3.8       128 
Jackson, MO..............          19.0         351.3       1.2       194    1,026       6.2        36 
St. Charles, MO..........           8.4         129.8       3.4        33      763       2.6       202 
St. Louis, MO............          32.6         574.9       0.6       244    1,088       7.0        21 
St. Louis City, MO.......           9.5         218.1      -0.5       307    1,059       2.7       193 
Yellowstone, MT..........           6.1          78.7       1.7       154      846       5.4        55 
Douglas, NE..............          17.8         321.6       2.0       123      905       5.5        45 
Lancaster, NE............           9.5         160.1       2.5        80      792       3.8       128 
                                                                                                       
Clark, NV................          49.3         827.6       2.3        94      867       3.1       166 
Washoe, NV...............          13.7         186.7       0.9       223      886       3.0       173 
Hillsborough, NH.........          12.1         192.2       0.5       257    1,137       3.7       136 
Rockingham, NH...........          10.6         137.1       1.0       213    1,034      12.0         4 
Atlantic, NJ.............           6.7         131.7      -0.2       295      816      -1.4       325 
Bergen, NJ...............          33.1         435.0       0.3       272    1,272       6.2        36 
Burlington, NJ...........          11.0         198.1       2.8        65    1,035       1.8       255 
Camden, NJ...............          12.1         195.2      -0.2       295    1,002       1.4       271 
Essex, NJ................          20.6         343.5      -0.3       301    1,221       3.6       139 
Gloucester, NJ...........           6.1          98.6       0.5       257      873       2.3       219 
                                                                                                       
Hudson, NJ...............          14.1         238.6       2.0       123    1,285       1.3       276 
Mercer, NJ...............          11.0         233.0       1.5       172    1,312       3.6       139 
Middlesex, NJ............          21.8         393.4       1.9       134    1,162       1.6       261 
Monmouth, NJ.............          20.0         243.6       0.2       274    1,031       2.6       202 
Morris, NJ...............          17.3         276.1       0.9       223    1,476       5.4        55 
Ocean, NJ................          12.3         147.3       1.2       194      835       4.6        81 
Passaic, NJ..............          12.2         175.1       0.3       272      998      -2.1       327 
Somerset, NJ.............          10.1         174.1       0.9       223    1,429       2.2       227 
Union, NJ................          14.4         222.2       0.5       257    1,228       0.2       308 
Bernalillo, NM...........          17.9         313.9       1.3       186      836       0.7       298 
                                                                                                       
Albany, NY...............          10.0         222.6       0.9       223      976       2.0       246 
Bronx, NY................          17.2         239.7       1.8       143      932       2.5       209 
Broome, NY...............           4.5          90.2      -0.8       313      764       2.1       234 
Dutchess, NY.............           8.2         112.3      -0.8       313      975       2.2       227 
Erie, NY.................          24.0         461.8       0.5       257      853       3.0       173 
Kings, NY................          54.0         529.5       2.0       123      821       2.8       189 
Monroe, NY...............          18.3         380.0       0.1       280      890       0.2       308 
Nassau, NY...............          53.0         609.0       1.8       143    1,134       2.0       246 
New York, NY.............         123.7       2,437.9       2.1       114    2,107      11.5         5 
Oneida, NY...............           5.3         105.4      -1.4       320      777       3.7       136 
                                                                                                       
Onondaga, NY.............          13.0         244.7       0.5       257      929       5.9        41 
Orange, NY...............           9.9         134.2       0.4       265      820       1.9       251 
Queens, NY...............          47.9         533.4       2.9        59      938       2.2       227 
Richmond, NY.............           9.1          95.3       1.6       162      843       3.8       128 
Rockland, NY.............           9.9         116.6      -0.2       295    1,054       6.3        35 
Saratoga, NY.............           5.6          78.8       2.0       123      876       3.8       128 
Suffolk, NY..............          50.9         630.9       1.1       207    1,056       0.0       317 
Westchester, NY..........          36.1         413.1       0.6       244    1,346       5.4        55 
Buncombe, NC.............           8.1         116.2       2.5        80      752       2.7       193 
Catawba, NC..............           4.4          79.3       0.1       280      733       0.4       303 
                                                                                                       
Cumberland, NC...........           6.3         118.5      -1.4       320      770      -0.1       319 
Durham, NC...............           7.5         188.2       2.6        76    1,225       1.6       261 
Forsyth, NC..............           9.0         177.3       1.7       154      883       3.3       157 
Guilford, NC.............          14.2         266.9       1.1       207      863       5.5        45 
Mecklenburg, NC..........          33.5         584.2       3.0        52    1,103       5.1        64 
New Hanover, NC..........           7.5          97.1       1.6       162      797       2.4       214 
Wake, NC.................          30.1         464.2       3.4        33      967       2.4       214 
Cass, ND.................           6.3         108.7       3.6        25      883       6.6        29 
Butler, OH...............           7.4         140.6      -0.2       295      844       2.8       189 
Cuyahoga, OH.............          35.7         711.1       2.0       123    1,020       5.4        55 
                                                                                                       
Delaware, OH.............           4.4          81.4       4.1        15      950       3.9       119 
Franklin, OH.............          29.8         687.2       2.5        80      970       1.6       261 
Hamilton, OH.............          23.2         491.7       0.4       265    1,092       6.0        40 
Lake, OH.................           6.4          94.7       0.0       288      813      -3.2       328 
Lorain, OH...............           6.0          94.5      -0.7       310      816       2.5       209 
Lucas, OH................          10.1         203.3       0.8       236      866       2.1       234 
Mahoning, OH.............           5.9          98.8       1.3       186      718       3.8       128 
Montgomery, OH...........          12.1         245.6       0.6       244      864       2.7       193 
Stark, OH................           8.8         155.6       0.8       236      752       3.0       173 
Summit, OH...............          14.2         258.8       1.1       207      893       4.3        94 
                                                                                                       
Oklahoma, OK.............          25.2         434.9       1.6       162      947       5.3        60 
Tulsa, OK................          20.7         341.5       1.8       143      962       0.0       317 
Clackamas, OR............          12.9         142.2       2.2       106      893       4.2       100 
Lane, OR.................          10.9         138.1       1.0       213      758       2.7       193 
Marion, OR...............           9.5         129.9       0.5       257      760       3.4       150 
Multnomah, OR............          30.4         447.5       2.0       123      988       2.1       234 
Washington, OR...........          16.8         252.7       1.2       194    1,101       1.4       271 
Allegheny, PA............          35.8         689.7       0.7       242    1,058       5.0        71 
Berks, PA................           9.0         166.3       1.3       186      869       2.1       234 
Bucks, PA................          19.8         250.5       0.4       265      957       2.9       183 
                                                                                                       
Butler, PA...............           4.9          82.9      -0.3       301      895       3.6       139 
Chester, PA..............          15.1         238.7       0.1       280    1,283       0.7       298 
Cumberland, PA...........           6.2         125.7       0.6       244      866       3.0       173 
Dauphin, PA..............           7.5         174.5       0.5       257      955       4.3        94 
Delaware, PA.............          14.0         215.7       1.3       186    1,076       6.4        33 
Erie, PA.................           7.6         124.6      -0.7       310      775       1.7       256 
Lackawanna, PA...........           5.9          98.1      -0.4       305      726       1.4       271 
Lancaster, PA............          12.8         221.7       0.9       223      816       3.7       136 
Lehigh, PA...............           8.7         177.8      -0.1       291      964       3.0       173 
Luzerne, PA..............           7.7         139.5      -1.4       320      746       3.2       161 
                                                                                                       
Montgomery, PA...........          27.5         473.9       1.0       213    1,250       5.9        41 
Northampton, PA..........           6.6         104.9       2.0       123      842       1.3       276 
Philadelphia, PA.........          36.5         638.0       1.1       207    1,180       4.1       104 
Washington, PA...........           5.6          86.3       0.8       236    1,016      11.5         5 
Westmoreland, PA.........           9.5         133.8       0.9       223      795      -0.7       323 
York, PA.................           9.1         172.6       0.4       265      837       3.6       139 
Providence, RI...........          17.5         272.7       1.4       181      992       3.0       173 
Charleston, SC...........          12.1         219.0       2.5        80      837       1.5       265 
Greenville, SC...........          12.3         238.5       2.3        94      838       2.7       193 
Horry, SC................           7.7         104.7       2.5        80      576       1.2       281 
                                                                                                       
Lexington, SC............           5.7         105.1       6.9         2      732       2.4       214 
Richland, SC.............           9.0         206.5       1.4       181      843       2.4       214 
Spartanburg, SC..........           5.8         117.4       2.4        91      832       2.1       234 
Minnehaha, SD............           6.7         118.1       2.5        80      850       4.3        94 
Davidson, TN.............          18.5         441.6       3.0        52    1,090       6.5        31 
Hamilton, TN.............           8.5         188.0       2.2       106      897       3.8       128 
Knox, TN.................          10.9         222.5       0.6       244      875       3.9       119 
Rutherford, TN...........           4.4         107.4       6.4         3      877       4.2       100 
Shelby, TN...............          19.1         481.9       1.7       154    1,023       5.5        45 
Williamson, TN...........           6.4         100.6       4.0        17    1,121       6.4        33 
                                                                                                       
Bell, TX.................           4.9         109.4       1.7       154      783       1.7       256 
Bexar, TX................          35.7         765.3       2.9        59      877       1.5       265 
Brazoria, TX.............           5.1          94.2       3.6        25      934       4.1       104 
Brazos, TX...............           4.0          90.3       4.4         9      735       3.5       146 
Cameron, TX..............           6.4         131.7       2.1       114      609       2.7       193 
Collin, TX...............          19.7         318.7       4.8         8    1,158       5.5        45 
Dallas, TX...............          70.1       1,499.2       3.4        33    1,209       5.5        45 
Denton, TX...............          11.7         189.8       3.1        48      877       5.0        71 
El Paso, TX..............          14.2         282.0       2.2       106      697       3.4       150 
Fort Bend, TX............          10.0         149.5       5.3         6    1,007       5.1        64 
                                                                                                       
Galveston, TX............           5.5          97.3       1.3       186      903       4.0       115 
Gregg, TX................           4.2          78.1       0.6       244      913       3.8       128 
Harris, TX...............         104.3       2,160.8       4.0        17    1,331       7.3        19 
Hidalgo, TX..............          11.5         235.2       2.3        94      612       2.2       227 
Jefferson, TX............           5.8         121.3      -2.3       326    1,006       4.1       104 
Lubbock, TX..............           7.1         128.2       1.8       143      772       8.0        12 
McLennan, TX.............           4.9         103.2       2.1       114      813       5.4        55 
Montgomery, TX...........           9.3         146.4       5.7         5      985       7.7        14 
Nueces, TX...............           7.9         157.6       3.2        41      885       5.1        64 
Smith, TX................           5.7          94.6       0.1       280      867       6.8        26 
                                                                                                       
Tarrant, TX..............          39.0         800.8       3.0        52      974       4.5        85 
Travis, TX...............          32.7         619.4       4.3        10    1,114       3.1       166 
Webb, TX.................           4.9          92.6       1.3       186      683       5.1        64 
Williamson, TX...........           8.1         136.2       3.5        29      934       2.5       209 
Davis, UT................           7.5         108.7       2.4        91      778       0.8       294 
Salt Lake, UT............          38.8         606.5       4.3        10      947       5.5        45 
Utah, UT.................          13.3         183.9       6.0         4      834       9.4         8 
Weber, UT................           5.5          91.8       2.2       106      721       2.4       214 
Chittenden, VT...........           6.1          99.0       0.2       274      981       4.1       104 
Arlington, VA............           8.7         165.9      -1.1       316    1,625       2.1       234 
                                                                                                       
Chesterfield, VA.........           8.0         121.2       3.1        48      881       3.2       161 
Fairfax, VA..............          35.3         597.8       0.9       223    1,588       4.3        94 
Henrico, VA..............          10.3         181.9       2.9        59      949       1.3       276 
Loudoun, VA..............          10.2         144.2       3.2        41    1,171       2.7       193 
Prince William, VA.......           8.1         115.9       3.4        33      863       2.1       234 
Alexandria City, VA......           6.3          97.2       1.6       162    1,460       2.5       209 
Chesapeake City, VA......           5.8          96.8       0.0       288      775       3.3       157 
Newport News City, VA....           3.7          98.3       1.8       143      912       3.1       166 
Norfolk City, VA.........           5.7         138.7       0.0       288      972       4.2       100 
Richmond City, VA........           7.2         149.1       0.6       244    1,066       4.1       104 
                                                                                                       
Virginia Beach City, VA..          11.5         165.4       1.8       143      862      13.3         3 
Benton, WA...............           5.9          76.4      -1.5       324      969      -1.0       324 
Clark, WA................          14.0         132.3       3.0        52      894       5.8        44 
King, WA.................          84.1       1,185.3       3.0        52    1,276       4.7        80 
Kitsap, WA...............           6.8          80.7       0.2       274      860       3.2       161 
Pierce, WA...............          22.1         266.8       1.2       194      869       3.2       161 
Snohomish, WA............          19.6         261.7       2.8        65    1,005       0.4       303 
Spokane, WA..............          16.2         200.1       1.0       213      809       3.3       157 
Thurston, WA.............           7.7          97.8       1.5       172      839       1.1       287 
Whatcom, WA..............           7.0          81.0       2.3        94      801       3.6       139 
                                                                                                       
Yakima, WA...............           9.0          95.1       1.5       172      679       4.6        81 
Kanawha, WV..............           6.0         105.5      -0.7       310      843       1.2       281 
Brown, WI................           6.6         148.3       1.0       213      892       5.2        63 
Dane, WI.................          14.3         310.5       1.5       172      957       5.9        41 
Milwaukee, WI............          23.8         476.8       0.9       223      969       3.0       173 
Outagamie, WI............           5.1         104.1       1.6       162      830       4.3        94 
Waukesha, WI.............          12.7         229.5       0.9       223    1,004       7.0        21 
Winnebago, WI............           3.6          90.2       1.3       186      924       3.9       119 
San Juan, PR.............          11.0         275.6       1.5       (7)      661       0.8       (7) 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs. These 328 U.S. counties comprise 71.3 percent of the total covered workers
in the U.S.
(2) Data are preliminary.
(3) Includes areas not officially designated as counties. See Technical Note.
(4) Average weekly wages were calculated using unrounded data.
(5) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(7) This county was not included in the U.S. rankings.






Table 2. Covered(1) establishments, employment, and wages in the 10 largest counties,
fourth quarter 2012(2)
                                                                                                       
                                                                                                       
                                                                    Employment         Average weekly  
                                                                                           wage(3)     
                                              Establishments,                                          
                                               fourth quarter                                          
         County by NAICS supersector                2012                    Percent            Percent 
                                                (thousands)     December    change,   Fourth   change, 
                                                                  2012     December  quarter   fourth  
                                                              (thousands) 2011-12(4)   2012    quarter 
                                                                                             2011-12(4)
                                                                                                       
                                                                                                       
United States(5).............................       9,205.6     133,726.8       1.9   $1,000       4.7 
  Private industry...........................       8,911.3     112,271.7       2.3    1,008       5.3 
    Natural resources and mining.............         131.9       1,888.3       2.0    1,148       6.1 
    Construction.............................         750.2       5,627.0       2.8    1,102       5.0 
    Manufacturing............................         335.7      11,950.0       1.4    1,207       3.2 
    Trade, transportation, and utilities.....       1,894.7      26,179.3       1.5      827       3.9 
    Information..............................         143.9       2,696.7       0.4    1,620       8.0 
    Financial activities.....................         815.1       7,595.9       1.7    1,629      11.4 
    Professional and business services.......       1,617.5      18,205.1       3.3    1,370       8.2 
    Education and health services............         942.0      19,708.0       2.0      928       2.7 
    Leisure and hospitality..................         776.6      13,631.9       3.7      416       3.0 
    Other services...........................       1,280.2       4,575.7       3.4      604       1.0 
  Government.................................         294.2      21,455.1      -0.2      960       1.6 
                                                                                                       
Los Angeles, CA..............................         421.5       4,082.2       1.9    1,185       6.6 
  Private industry...........................         415.8       3,546.4       2.5    1,179       6.9 
    Natural resources and mining.............           0.5          10.0       1.4    1,731      19.5 
    Construction.............................          12.2         110.9       3.6    1,160       4.2 
    Manufacturing............................          12.5         364.8       0.2    1,182       3.6 
    Trade, transportation, and utilities.....          51.3         792.1       2.0      907       4.3 
    Information..............................           8.5         203.9       5.3    2,224       6.3 
    Financial activities.....................          22.2         213.7       1.4    1,841      19.4 
    Professional and business services.......          43.1         584.3       3.7    1,483       5.1 
    Education and health services............          30.0         541.1       2.4    1,096       4.3 
    Leisure and hospitality..................          27.9         421.3       4.7      985       6.5 
    Other services...........................         182.1         284.5      -2.4      418       9.4 
  Government.................................           5.7         535.8      -2.5    1,221       4.3 
                                                                                                       
Cook, IL.....................................         150.3       2,441.2       1.2    1,184       5.3 
  Private industry...........................         148.9       2,144.5       1.4    1,189       5.6 
    Natural resources and mining.............           0.1           0.7      -6.1    1,088      -1.0 
    Construction.............................          12.4          61.7       0.1    1,482       5.8 
    Manufacturing............................           6.6         194.1       0.4    1,255       4.6 
    Trade, transportation, and utilities.....          29.2         462.5       1.2      899       4.2 
    Information..............................           2.7          54.1       0.1    1,627       3.4 
    Financial activities.....................          15.6         184.1      -0.2    2,350      16.6 
    Professional and business services.......          31.8         432.2       2.4    1,565       5.0 
    Education and health services............          15.8         414.1       1.1      968       1.0 
    Leisure and hospitality..................          13.3         241.5       3.6      473       2.8 
    Other services...........................          16.7          95.8      -0.3      843       4.1 
  Government.................................           1.4         296.7      -0.4    1,149       3.6 
                                                                                                       
New York, NY.................................         123.7       2,437.9       2.1    2,107      11.5 
  Private industry...........................         123.5       1,999.2       2.5    2,331      12.5 
    Natural resources and mining.............           0.0           0.1       5.0    1,862      18.1 
    Construction.............................           2.1          32.5       8.5    2,003       2.1 
    Manufacturing............................           2.4          26.6       1.0    1,552      -7.1 
    Trade, transportation, and utilities.....          20.9         267.0       2.6    1,529      13.0 
    Information..............................           4.4         142.9       1.7    2,447       5.5 
    Financial activities.....................          18.8         353.5      -0.5    5,186      26.4 
    Professional and business services.......          25.7         500.5       3.8    2,430       6.3 
    Education and health services............           9.4         314.8       1.5    1,226       3.2 
    Leisure and hospitality..................          13.1         259.9       3.2      907       2.4 
    Other services...........................          19.2          94.5       3.7    1,094       2.1 
  Government.................................           0.3         438.7       0.4    1,100       1.3 
                                                                                                       
Harris, TX...................................         104.3       2,160.8       4.0    1,331       7.3 
  Private industry...........................         103.8       1,904.6       4.4    1,372       7.6 
    Natural resources and mining.............           1.7          91.3       6.9    3,544       9.5 
    Construction.............................           6.5         142.3       5.3    1,335       7.9 
    Manufacturing............................           4.6         192.7       5.0    1,704       9.8 
    Trade, transportation, and utilities.....          23.4         459.4       3.0    1,196       8.4 
    Information..............................           1.2          27.2      -2.9    1,463       5.3 
    Financial activities.....................          10.7         116.0       2.9    1,708      10.7 
    Professional and business services.......          20.8         362.7       5.9    1,639       4.5 
    Education and health services............          11.9         256.5       3.4    1,021       6.4 
    Leisure and hospitality..................           8.6         192.7       5.9      430       3.6 
    Other services...........................          13.7          62.6       3.1      718       5.4 
  Government.................................           0.5         256.2       0.8    1,026       3.0 
                                                                                                       
Maricopa, AZ.................................          95.2       1,721.1       2.7      964       3.4 
  Private industry...........................          94.5       1,512.0       3.0      967       3.8 
    Natural resources and mining.............           0.5           8.5       3.7      918       0.7 
    Construction.............................           7.6          88.3       7.2    1,049       7.7 
    Manufacturing............................           3.2         113.7       1.8    1,290       0.8 
    Trade, transportation, and utilities.....          21.2         357.3       1.7      917       2.5 
    Information..............................           1.6          28.5       2.3    1,253       5.4 
    Financial activities.....................          10.9         146.2       3.0    1,194       5.7 
    Professional and business services.......          22.0         285.1       3.5    1,086       5.6 
    Education and health services............          10.6         252.8       2.4    1,001       1.5 
    Leisure and hospitality..................           7.2         180.6       2.7      444       3.3 
    Other services...........................           6.5          46.9       1.1      634       4.1 
  Government.................................           0.7         209.1       1.1      946       1.4 
                                                                                                       
Dallas, TX...................................          70.1       1,499.2       3.4    1,209       5.5 
  Private industry...........................          69.6       1,335.4       3.8    1,228       5.8 
    Natural resources and mining.............           0.6          10.1       8.5    3,980      -9.0 
    Construction.............................           4.0          71.0       6.4    1,171       6.1 
    Manufacturing............................           2.8         111.8      -0.1    1,398       7.0 
    Trade, transportation, and utilities.....          15.2         305.9       3.3    1,065       5.7 
    Information..............................           1.5          47.6       3.6    1,640       1.9 
    Financial activities.....................           8.6         145.1       2.6    1,663      12.1 
    Professional and business services.......          15.5         292.6       5.6    1,451       4.8 
    Education and health services............           7.9         176.8       3.9    1,068       3.1 
    Leisure and hospitality..................           5.9         133.2       4.6      528       6.5 
    Other services...........................           7.3          40.4       1.4      756       8.2 
  Government.................................           0.5         163.8       0.2    1,059       3.6 
                                                                                                       
Orange, CA...................................         104.2       1,436.6       2.7    1,131       4.4 
  Private industry...........................         102.8       1,300.9       3.1    1,138       4.5 
    Natural resources and mining.............           0.2           3.0      -5.3      746       7.8 
    Construction.............................           6.0          73.2       5.3    1,269       7.2 
    Manufacturing............................           4.8         158.6       0.5    1,352       3.8 
    Trade, transportation, and utilities.....          16.2         258.9       1.8    1,002       2.3 
    Information..............................           1.2          24.2      -0.4    1,692      11.8 
    Financial activities.....................           9.6         111.6       4.3    2,030       6.8 
    Professional and business services.......          19.1         264.5       4.3    1,329       5.1 
    Education and health services............          10.7         165.4       2.1    1,064       2.7 
    Leisure and hospitality..................           7.4         182.5       4.2      431       4.6 
    Other services...........................          19.6          52.9       4.2      534      -1.1 
  Government.................................           1.4         135.7      -1.3    1,064       3.5 
                                                                                                       
San Diego, CA................................         100.5       1,302.0       2.3    1,099       5.5 
  Private industry...........................          99.1       1,084.0       2.6    1,090       5.7 
    Natural resources and mining.............           0.7           9.0       1.1      665       4.2 
    Construction.............................           5.8          57.5       3.6    1,133       0.7 
    Manufacturing............................           2.9          93.7      -0.6    1,534       5.6 
    Trade, transportation, and utilities.....          13.6         219.0       2.1      843       6.7 
    Information..............................           1.1          24.9       1.7    1,580      -1.8 
    Financial activities.....................           8.5          71.5       3.4    1,381      12.3 
    Professional and business services.......          16.6         221.5       2.7    1,670       8.8 
    Education and health services............           8.8         157.7       1.4    1,044       3.0 
    Leisure and hospitality..................           7.2         160.2       3.3      439       0.5 
    Other services...........................          26.6          63.5       5.2      503       2.2 
  Government.................................           1.4         218.1       0.7    1,143       4.4 
                                                                                                       
King, WA.....................................          84.1       1,185.3       3.0    1,276       4.7 
  Private industry...........................          83.5       1,028.2       3.4    1,291       5.1 
    Natural resources and mining.............           0.4           2.5      -8.0    2,021      35.5 
    Construction.............................           5.3          50.4       9.5    1,248      -1.3 
    Manufacturing............................           2.2         103.6       3.5    1,482      -2.8 
    Trade, transportation, and utilities.....          14.4         223.0       3.6    1,086       6.2 
    Information..............................           1.8          80.9       0.7    2,489      11.8 
    Financial activities.....................           6.2          64.2       2.5    1,587       8.3 
    Professional and business services.......          14.1         195.1       4.8    1,689       6.7 
    Education and health services............           7.3         140.3       2.3    1,007       2.2 
    Leisure and hospitality..................           6.5         115.6       4.0      485       1.7 
    Other services...........................          25.2          52.7      -0.7      627       6.8 
  Government.................................           0.5         157.1       0.5    1,177       1.2 
                                                                                                       
Miami-Dade, FL...............................          91.3       1,020.6       2.3      976       4.1 
  Private industry...........................          90.9         882.1       2.8      957       5.4 
    Natural resources and mining.............           0.5           8.9      -2.7      609       2.5 
    Construction.............................           5.0          30.8       2.8    1,017      10.8 
    Manufacturing............................           2.7          35.7      -1.2      930       3.8 
    Trade, transportation, and utilities.....          26.4         266.5       1.9      852       4.8 
    Information..............................           1.5          17.7       1.3    1,489      10.9 
    Financial activities.....................           9.3          69.2       3.8    1,483       8.4 
    Professional and business services.......          19.1         134.1       4.2    1,342       8.8 
    Education and health services............          10.1         159.0       1.0      929       0.7 
    Leisure and hospitality..................           7.0         122.8       6.0      554       3.2 
    Other services...........................           8.0          35.7       2.8      586       3.9 
  Government.................................           0.4         138.5      -1.2    1,092      -2.3 

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.
(2) Data are preliminary. Counties selected are based on 2011 annual average employment.
(3) Average weekly wages were calculated using unrounded data.
(4) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(5) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.






Table 3. Covered(1) establishments, employment, and wages by state, 
fourth quarter 2012(2)
                                                                                 
                                                                                 
                                                Employment        Average weekly 
                                                                      wage(3)    
                          Establishments,                                        
                           fourth quarter                                        
          State                 2012                    Percent           Percent
                            (thousands)     December    change,   Fourth  change,
                                              2012     December  quarter  fourth 
                                          (thousands)   2011-12    2012   quarter
                                                                          2011-12
                                                                                 
                                                                                 
United States(4).........       9,205.6     133,726.8       1.9   $1,000      4.7
                                                                                 
Alabama..................         117.0       1,847.3       1.1      854      2.6
Alaska...................          21.9         314.8       1.1    1,007      2.7
Arizona..................         147.5       2,509.2       2.4      912      3.3
Arkansas.................          85.1       1,160.3       0.2      767      4.2
California...............       1,337.1      15,216.3       3.3    1,186      7.8
Colorado.................         173.6       2,311.4       2.7    1,032      5.8
Connecticut..............         111.9       1,657.6       1.0    1,253      5.3
Delaware.................          27.8         411.0       1.2    1,044      6.1
District of Columbia.....          36.8         721.5       1.7    1,703      2.2
Florida..................         618.3       7,535.5       2.3      880      3.9
                                                                                 
Georgia..................         273.7       3,889.9       1.7      927      4.7
Hawaii...................          38.6         620.7       2.1      868      2.7
Idaho....................          53.4         618.4       2.0      732      2.1
Illinois.................         396.4       5,697.9       1.1    1,058      4.4
Indiana..................         160.4       2,850.5       1.8      816      3.4
Iowa.....................          96.0       1,486.6       1.3      821      3.7
Kansas...................          84.9       1,339.2       1.5      835      4.4
Kentucky.................         113.2       1,796.0       1.4      801      1.8
Louisiana................         127.1       1,891.9       1.0      884      4.1
Maine....................          49.7         582.2       0.2      773      2.4
                                                                                 
Maryland.................         169.1       2,544.1       1.2    1,086      2.5
Massachusetts............         221.0       3,279.3       1.3    1,248      4.8
Michigan.................         238.9       3,988.9       1.9      954      2.3
Minnesota................         170.1       2,677.2       1.6      985      5.1
Mississippi..............          69.4       1,096.5       1.1      720      3.2
Missouri.................         179.3       2,641.9       0.9      863      4.6
Montana..................          42.8         434.6       1.9      757      4.1
Nebraska.................          68.0         931.3       2.2      797      4.6
Nevada...................          73.5       1,145.8       1.9      877      2.9
New Hampshire............          49.5         620.8       0.8    1,023      5.5
                                                                                 
New Jersey...............         263.8       3,846.4       1.1    1,172      2.9
New Mexico...............          55.7         796.8       1.5      802      0.4
New York.................         608.4       8,741.9       1.4    1,280      6.9
North Carolina...........         259.9       3,963.9       1.9      854      3.6
North Dakota.............          30.1         421.0       6.1      944      8.4
Ohio.....................         287.1       5,098.0       1.3      887      3.6
Oklahoma.................         104.9       1,565.3       1.9      847      3.9
Oregon...................         134.8       1,654.1       1.4      871      2.5
Pennsylvania.............         354.4       5,629.8       0.5      972      3.8
Rhode Island.............          35.4         456.4       1.0      945      2.7
                                                                                 
South Carolina...........         113.9       1,832.2       2.0      784      2.8
South Dakota.............          31.6         401.7       1.2      749      3.5
Tennessee................         142.1       2,710.4       2.1      903      5.2
Texas....................         599.6      10,956.4       3.2    1,027      5.5
Utah.....................          87.2       1,246.6       3.7      844      4.5
Vermont..................          24.5         306.1       0.7      829      2.5
Virginia.................         242.5       3,663.7       1.1    1,042      3.7
Washington...............         239.6       2,902.0       2.1    1,017      4.0
West Virginia............          49.6         714.3       0.0      788      1.5
Wisconsin................         162.9       2,723.6       1.2      855      4.8
                                                                                 
Wyoming..................          25.6         277.6       0.2      908      3.7
                                                                                 
Puerto Rico..............          47.3         978.6       1.6      550     -0.4
Virgin Islands...........           3.4          39.8      -7.9      738     -3.9

(1) Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs.
(2) Data are preliminary.
(3) Average weekly wages were calculated using unrounded data.
(4) Totals for the United States do not include data for Puerto Rico or the
Virgin Islands.






Last Modified Date: June 27, 2013