For release 10:00 a.m. (EDT), Thursday, June 19, 2014
USDL-14-1138
Technical Information: (202) 691-6567 • [email protected] • www.bls.gov/cew
Media Contact:
(202) 691-5902 • [email protected]
COUNTY EMPLOYMENT AND WAGES
Fourth Quarter 2013
From December 2012 to December 2013, employment increased in 292 of the 334 largest U.S.
counties, the U.S. Bureau of Labor Statistics reported today. Weld, Colo., had the largest increase, with
a gain of 6.0 percent over the year, compared with national job growth of 1.8 percent. Within Weld, the
largest employment increase occurred in construction, which gained 1,864 jobs over the year (25.5
percent). St. Clair, Ill., had the largest over-the-year decrease in employment among the largest counties
in the U.S. with a loss of 3.1 percent. County employment and wage data are compiled under the
Quarterly Census of Employment and Wages (QCEW) program, which produces detailed information
on county employment and wages within 6 months after the end of each quarter.
The U.S. average weekly wage was unchanged over the year, remaining at $1,000 in the fourth quarter
of 2013. Santa Cruz, Calif., had the largest over-the-year increase in average weekly wages with a gain
of 6.5 percent. Within Santa Cruz, an average weekly wage gain of $416, or 32.9 percent, in
manufacturing made the largest contribution to the increase in average weekly wages. Douglas, Colo.,
experienced the largest decrease in average weekly wages with a loss of 29.7 percent over the year.
Chart 1. Large counties ranked by percent increase in
employment, December 2012-13
(U.S. average = 1.8 percent)
Chart 2. Large counties ranked by percent increase in
average weekly wages, fourth quarter 2012-13
(U.S. average = 0.0 percent)
Percent
Percent
8
8
6
6
4
4
2
2
0
0
Weld,
Colo.
Lee,
Fla.
Sonoma,
Calif.
Douglas,
Colo.
Sarasota,
Fla.
Santa Cruz,
Calif.
Ada,
Idaho
Washington,
Ore.
Union,
N.J.
Clayton,
Ga.
Table A. Large counties ranked by December 2013 employment, December 2012-13 employment
increase, and December 2012-13 percent increase in employment
Employment in large counties
December 2013 employment
(thousands)
United States
Los Angeles, Calif.
New York, N.Y.
Cook, Ill.
Harris, Texas
Maricopa, Ariz.
Dallas, Texas
Orange, Calif.
San Diego, Calif.
King, Wash.
Miami-Dade, Fla.
136,129.4
4,176.8
2,500.2
2,463.3
2,225.4
1,771.9
1,530.1
1,463.1
1,330.2
1,223.4
1,047.5
Increase in employment,
December 2012-13
(thousands)
United States
Percent increase in employment,
December 2012-13
2,344.4
Los Angeles, Calif.
Harris, Texas
New York, N.Y.
Maricopa, Ariz.
Dallas, Texas
King, Wash.
Santa Clara, Calif.
Orange, Calif.
Cook, Ill.
Clark, Nev.
76.6
64.2
58.4
50.9
48.1
40.8
38.2
29.0
27.5
26.5
United States
1.8
Weld, Colo.
Lee, Fla.
Sonoma, Calif.
Douglas, Colo.
Sarasota, Fla.
Ocean, N.J.
Fort Bend, Texas
Midland, Texas
Placer, Calif.
Williamson, Texas
6.0
5.5
5.2
5.2
4.9
4.8
4.8
4.8
4.7
4.7
Large County Employment
In December 2013, national employment was 136.1 million (as measured by the QCEW program). Over
the year, employment increased 1.8 percent, or 2.3 million. The 334 U.S. counties with 75,000 or more
jobs accounted for 71.7 percent of total U.S. employment and 77.2 percent of total wages. These 334
counties had a net job growth of 1.8 million over the year, accounting for 76.2 percent of the overall
U.S. employment increase. (See chart 3.)
Weld, Colo., had the largest percentage increase in employment (6.0 percent) among the largest U.S.
counties. The five counties with the largest increases in employment level were Los Angeles, Calif.;
Harris, Texas; New York, N.Y.; Maricopa, Ariz.; and Dallas, Texas. These counties had a combined
over-the-year employment gain of 298,200 jobs, which was 12.7 percent of the overall job increase for
the U.S. (See table A.)
Employment declined in 39 of the large counties from December 2012 to December 2013. St. Clair, Ill.,
had the largest over-the-year percentage decrease in employment (-3.1 percent). Within St. Clair,
professional and business services had the largest decrease in employment, with a loss of 798 jobs (-9.2
percent). Peoria, Ill., and Broome, N.Y., tied for the second largest percentage decrease in employment,
followed by Caddo, La., and Winnebago, Wis. (See table 1.)
-2-
Table B. Large counties ranked by fourth quarter 2013 average weekly wages, fourth quarter 2012-13
increase in average weekly wages, and fourth quarter 2012-13 percent increase in average weekly wages
Average weekly wage in large counties
Average weekly wage,
fourth quarter 2013
Increase in average weekly
wage, fourth quarter 2012-13
United States
$1,000
United States
San Mateo, Calif.
New York, N.Y.
Santa Clara, Calif.
San Francisco, Calif.
Suffolk, Mass.
Fairfield, Conn.
Washington, D.C.
Arlington, Va.
Fairfax, Va.
Morris, N.J.
$2,724
2,041
1,972
1,753
1,741
1,653
1,638
1,588
1,558
1,553
Morris, N.J.
Santa Clara, Calif.
Washington, Ore.
Union, N.J.
Santa Cruz, Calif.
Ada, Idaho
San Francisco, Calif.
Winnebago, Wis.
Albany, N.Y.
Dane, Wis.
Percent increase in average
weekly wage, fourth
quarter 2012-13
$0
$74
65
65
63
55
54
51
46
45
45
United States
0.0
Santa Cruz, Calif.
Ada, Idaho
Washington, Ore.
Union, N.J.
Clayton, Ga.
Morris, N.J.
Winnebago, Wis.
Weld, Colo.
Dane, Wis.
Albany, N.Y.
6.5
6.4
5.9
5.2
5.1
5.0
5.0
4.8
4.7
4.6
Large County Average Weekly Wages
Average weekly wages for the nation were unchanged during the year ending in the fourth quarter of
2013. Among the 334 largest counties, 185 had over-the-year increases in average weekly wages. (See
chart 4.) Santa Cruz, Calif., had the largest wage increase among the largest U.S. counties (6.5 percent).
Of the 334 largest counties, 140 experienced over-the-year decreases in average weekly wages. Douglas,
Colo., had the largest percentage decrease in average weekly wage, with a loss of 29.7 percent. Within
Douglas, professional and business services had the largest impact on the county’s average weekly wage
decrease. Within this industry, average weekly wages declined by $2,545 (-57.4 percent) over the year.
San Mateo, Calif., had the second largest percentage decrease in average weekly wages, followed by
Virginia Beach City, Va.; McHenry, Ill.; and Shawnee, Kan. (See table 1.)
Ten Largest U.S. Counties
All of the 10 largest counties had over-the-year percentage increases in employment in December 2013.
King, Wash., had the largest gain (3.5 percent). Within King, trade, transportation, and utilities had the
largest over-the-year employment level increase among all private industry groups with a gain of 10,127
jobs, or 4.6 percent. Cook, Ill., had the smallest percentage increase in employment (1.1 percent) among
the 10 largest counties. (See table 2.)
Average weekly wages increased over the year in 3 of the 10 largest U.S. counties. King, Wash.,
experienced the largest percentage gain in average weekly wages (1.9 percent). Within King,
information had the largest impact on the county’s average weekly wage growth. Within this industry,
average weekly wages increased by $68, or 2.7 percent, over the year. New York, N.Y., had the largest
decline in average weekly wages (-3.3 percent) among the 10 largest counties.
-3-
For More Information
The tables and charts included in this release contain data for the nation and for the 334 U.S. counties
with annual average employment levels of 75,000 or more in 2012. December 2013 employment and
2013 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 9.3 million employer reports cover 136.1 million full- and parttime workers. The QCEW program provides a quarterly and annual universe count of establishments,
employment, and wages at the county, MSA, state, and national levels by detailed industry. Data for the
fourth quarter of 2013 will be available later at www.bls.gov/cew/. For additional information about the
quarterly employment and wages data, please read the Technical Note. Additional information about the
QCEW data may be obtained by calling (202) 691-6567.
Several BLS regional offices are issuing QCEW news releases targeted to local data users. For links to
these releases, see www.bls.gov/cew/cewregional.htm.
The County Employment and Wages release for first quarter 2014 is scheduled to be released on
Thursday, September 18, 2014.
-4-
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 2013 are preliminary and subject to revision.
For purposes of this release, large counties are defined as having
employment levels of 75,000 or greater. In addition, data for San
Juan, Puerto Rico, are provided, but not used in calculating U.S. averages, rankings, or in the analysis in the text. Each year, these large
counties are selected on the basis of the preliminary annual average
of employment for the previous year. The 335 counties presented in
this release were derived using 2012 preliminary annual averages of
employment. For 2013 data, six counties have been added to the publication tables: Boone, Ky.; Warren, Ohio; Jackson, Ore.; York, S.C.;
Midland, Texas; and Potter, Texas. These counties will be included
in all 2013 quarterly releases. The counties in table 2 are selected and
sorted each year based on the annual average employment from the
preceding year.
Summary of Major Differences between QCEW, BED, and CES Employment Measures
QCEW
BED
CES
Source
 Count of UI administrative records
submitted by 9.2 million establishments in first quarter of 2013
 Count of longitudinally-linked UI administrative records submitted by
7.3 million private-sector employers
 Sample survey: 557,000 establishments
Coverage
 UI and UCFE coverage, including
all employers subject to state and
federal UI laws
 UI coverage, excluding government,
private households, and establishments with zero employment
Nonfarm wage and salary jobs:
 UI coverage, excluding agriculture, private
households, and self-employed workers
 Other employment, including railroads,
religious organizations, and other nonUI-covered jobs
 Quarterly
— 8 months after the end of each
quarter
 Monthly
— Usually first Friday of following
month
Publication fre-  Quarterly
quency
— 6 months after the end of each
quarter
Use of UI file
 Directly summarizes and publishes
each new quarter of UI data
 Links each new UI quarter to longitu-  Uses UI file as a sampling frame and to
dinal database and directly summaannually realign sample-based estimates
rizes gross job gains and losses
to population counts (benchmarking)
Principal
products
 Provides a quarterly and annual universe count of establishments, employment, and wages at the county,
MSA, state, and national levels by
detailed industry
 Provides quarterly employer dynam-  Provides current monthly estimates of
ics data on establishment openings,
employment, hours, and earnings at the
closings, expansions, and contractions
MSA, state, and national level by indusat the national level by NAICS supertry
sectors and by size of firm, and at the
state private-sector total level
 Future expansions will include data
with greater industry detail and data
at the county and MSA level
Principal uses
 Major uses include:
— Detailed locality data
— Periodic universe counts for
benchmarking sample survey estimates
— Sample frame for BLS establishment surveys
Program Web
sites
 www.bls.gov/cew/
 Major uses include:
— Business cycle analysis
— Analysis of employer dynamics
underlying economic expansions
and contractions
— Analysis of employment expansion and contraction by size of
firm
 www.bls.gov/bdm/
 Major uses include:
— Principal national economic indicator
— Official time series for employment
change measures
— Input into other major economic indicators
 www.bls.gov/ces/
The preliminary QCEW data presented in this release may differ
from data released by the individual states. These potential differences
result from the states' continuing receipt of UI data over time and ongoing review and editing. The individual states determine their data
release timetables.
Differences between QCEW, BED, and CES employment
measures
The Bureau publishes three different establishment-based employment measures for any given quarter. Each of these measures—
QCEW, Business Employment Dynamics (BED), and Current Employment Statistics (CES)—makes use of the quarterly UI employment reports in producing data; however, each measure has a somewhat different universe coverage, estimation procedure, and publication product.
Differences in coverage and estimation methods can result in somewhat different measures of employment change over time. It is important to understand program differences and the intended uses of the
program products. (See table.) Additional information on each program can be obtained from the program Web sites shown in the table.
Coverage
Employment and wage data for workers covered by state UI laws
are compiled from quarterly contribution reports submitted to the
SWAs by employers. For federal civilian workers covered by the Unemployment Compensation for Federal Employees (UCFE) program,
employment and wage data are compiled from quarterly reports submitted by four major federal payroll processing centers on behalf of
all federal agencies, with the exception of a few agencies which still
report directly to the individual SWA. In addition to the quarterly contribution reports, employers who operate multiple establishments
within a state complete a questionnaire, called the "Multiple Worksite
Report," which provides detailed information on the location and industry of each of their establishments. QCEW employment and wage
data are derived from microdata summaries of 9.1 million employer
reports of employment and wages submitted by states to the BLS in
2012. These reports are based on place of employment rather than
place of residence.
UI and UCFE coverage is broad and has been basically comparable
from state to state since 1978, when the 1976 amendments to the Federal Unemployment Tax Act became effective, expanding coverage to
include most State and local government employees. In 2012, UI and
UCFE programs covered workers in 131.7 million jobs. The estimated
126.9 million workers in these jobs (after adjustment for multiple jobholders) represented 95.5 percent of civilian wage and salary employment. Covered workers received $6.491 trillion in pay, representing
93.7 percent of the wage and salary component of personal income
and 40.0 percent of the gross domestic product.
Major exclusions from UI coverage include self-employed workers, most agricultural workers on small farms, all members of the
Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and
employees of certain small nonprofit organizations.
State and federal UI laws change periodically. These changes may
have an impact on the employment and wages reported by employers
covered under the UI program. Coverage changes may affect the overthe-year comparisons presented in this news release.
Concepts and methodology
Monthly employment is based on the number of workers who
worked during or received pay for the pay period including the 12th
of the month. With few exceptions, all employees of covered firms are
reported, including production and sales workers, corporation officials, executives, supervisory personnel, and clerical workers. Workers on paid vacations and part-time workers also are included.
Average weekly wage values are calculated by dividing quarterly
total wages by the average of the three monthly employment levels
(all employees, as described above) and dividing the result by 13, for
the 13 weeks in the quarter. These calculations are made using unrounded employment and wage values. The average wage values that
can be calculated using rounded data from the BLS database may differ from the averages reported. Included in the quarterly wage data are
non-wage cash payments such as bonuses, the cash value of meals and
lodging when supplied, tips and other gratuities, and, in some states,
employer contributions to certain deferred compensation plans such
as 401(k) plans and stock options. Over-the-year comparisons of average weekly wages may reflect fluctuations in average monthly employment and/or total quarterly wages between the current quarter and
prior year levels.
Average weekly wages are affected by the ratio of full-time to parttime workers as well as the number of individuals in high-paying and
low-paying occupations and the incidence of pay periods within a
quarter. For instance, the average weekly wage of the workforce could
increase significantly when there is a large decline in the number of
employees that had been receiving below-average wages. Wages may
include payments to workers not present in the employment counts
because they did not work during the pay period including the 12th of
the month. When comparing average weekly wage levels between industries, states, or quarters, these factors should be taken into consideration.
Wages measured by QCEW may be subject to periodic and sometimes large fluctuations. This variability may be due to calendar effects resulting from some quarters having more pay dates than others.
The effect is most visible in counties with a dominant employer. In
particular, this effect has been observed in counties where government
employers represent a large fraction of overall employment. Similar
calendar effects can result from private sector pay practices. However,
these effects are typically less pronounced for two reasons: employment is less concentrated in a single private employer, and private employers use a variety of pay period types (weekly, biweekly, semimonthly, monthly).
For example, the effect on over-the-year pay comparisons can be
pronounced in federal government due to the uniform nature of federal
payroll processing. Most federal employees are paid on a biweekly
pay schedule. As a result, in some quarters federal wages include six
pay dates, while in other quarters there are seven pay dates. Over-theyear comparisons of average weekly wages may also reflect this calendar effect. Growth in average weekly wages may be attributed, in
part, to a comparison of quarterly wages for the current year, which
include seven pay dates, with year-ago wages that reflect only six pay
dates. An opposite effect will occur when wages in the current quarter
reflecting six pay dates are compared with year-ago wages for a quarter including seven pay dates.
In order to ensure the highest possible quality of data, states verify
with employers and update, if necessary, the industry, location, and
ownership classification of all establishments on a 3-year cycle.
Changes in establishment classification codes resulting from this process are introduced with the data reported for the first quarter of the
year. Changes resulting from improved employer reporting also are
introduced in the first quarter.
QCEW data are not designed as a time series. QCEW data are
simply the sums of individual establishment records and reflect the
number of establishments that exist in a county or industry at a point
in time. Establishments can move in or out of a county or industry for
a number of reasons—some reflecting economic events, others reflecting administrative changes. For example, economic change
would come from a firm relocating into the county; administrative
change would come from a company correcting its county designation.
The over-the-year changes of employment and wages presented in
this release have been adjusted to account for most of the administrative corrections made to the underlying establishment reports. This is
done by modifying the prior-year levels used to calculate the over-theyear changes. Percent changes are calculated using an adjusted version of the final 2012 quarterly data as the base data. The adjusted
prior-year levels used to calculate the over-the-year percent change in
employment and wages are not published. These adjusted prior-year
levels do not match the unadjusted data maintained on the BLS Web
site. Over-the-year change calculations based on data from the Web
site, or from data published in prior BLS news releases, may differ
substantially from the over-the-year changes presented in this news
release.
The adjusted data used to calculate the over-the-year change
measures presented in this release account for most of the administrative changes—those occurring when employers update the industry,
location, and ownership information of their establishments. The most
common adjustments for administrative change are the result of updated information about the county location of individual establishments. Included in these adjustments are administrative changes involving the classification of establishments that were previously reported in the unknown or statewide county or unknown industry categories. Beginning with the first quarter of 2008, adjusted data account
for administrative changes caused by multi-unit employers who start
reporting for each individual establishment rather than as a single entity. Beginning with the second quarter of 2011, adjusted data account
for selected large administrative changes in employment and wages.
These new adjustments allow QCEW to include county employment
and wage growth rates in this news release that would otherwise not
meet publication standards.
The adjusted data used to calculate the over-the-year change
measures presented in any County Employment and Wages news release are valid for comparisons between the starting and ending points
(a 12-month period) used in that particular release. Comparisons may
not be valid for any time period other than the one featured in a release
even if the changes were calculated using adjusted data.
County definitions are assigned according to Federal Information
Processing Standards Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after approval by the
Secretary of Commerce pursuant to Section 5131 of the Information
Technology Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. Areas shown as counties include those designated as independent cities in some jurisdictions and,
in Alaska, those designated as census areas where counties have not
been created. County data also are presented for the New England
states for comparative purposes even though townships are the more
common designation used in New England (and New Jersey). The regions referred to in this release are defined as census regions.
Additional statistics and other information
Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2012 edition of this
publication, which was published in September 2013, contains selected data produced by Business Employment Dynamics (BED) on
job gains and losses, as well as selected data from the first quarter
2013 version of this news release. Tables and additional content from
Employment and Wages Annual Averages 2012 are now available
online at http://www.bls.gov/cew/cewbultn12.htm. The 2013 edition
of Employment and Wages Annual Averages Online will be available
in September 2014.
News releases on quarterly measures of gross job flows also are
available upon request from the Division of Administrative Statistics
and Labor Turnover (Business Employment Dynamics), telephone
(202)
691-6467;
(http://www.bls.gov/bdm/);
(e-mail:
[email protected]).
Information in this release will be made available to sensory impaired individuals upon request. Voice phone: (202) 691-5200; TDD
message referral phone number: 1-800-877-8339.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
United States⁴..............................
9,333.7
136,129.4
1.8
-
$1,000
0.0
-
Jefferson, AL................................
Madison, AL.................................
Mobile, AL....................................
Montgomery, AL...........................
Tuscaloosa, AL.............................
Anchorage Borough, AK...............
Maricopa, AZ................................
Pima, AZ.......................................
Benton, AR...................................
Pulaski, AR...................................
17.7
9.0
9.6
6.3
4.3
8.4
92.8
18.6
5.7
14.6
341.7
183.2
165.9
129.2
87.5
153.3
1,771.9
356.3
100.8
246.4
1.1
0.3
0.4
0.4
1.2
0.2
3.0
0.5
2.1
0.1
200
271
260
260
188
279
61
249
118
290
993
1,078
864
879
847
1,050
952
840
913
899
-1.9
-0.4
-1.9
-0.6
-0.1
1.1
-1.3
0.2
1.1
-3.1
302
220
302
232
195
95
272
165
95
323
Washington, AR...........................
Alameda, CA................................
Contra Costa, CA.........................
Fresno, CA...................................
Kern, CA.......................................
Los Angeles, CA...........................
Marin, CA.....................................
Monterey, CA...............................
Orange, CA..................................
Placer, CA....................................
5.7
56.7
29.7
30.7
17.2
440.9
12.0
13.0
107.0
11.2
95.2
687.3
339.6
348.0
303.9
4,176.8
112.0
155.6
1,463.1
139.6
0.6
2.5
2.4
3.7
2.6
1.9
3.0
1.9
2.0
4.7
239
90
98
34
88
130
61
130
122
9
857
1,267
1,191
771
849
1,161
1,213
828
1,114
978
2.5
0.8
1.9
-1.0
0.4
-1.9
-0.7
2.1
-1.8
0.0
29
120
54
253
150
302
238
43
299
186
Riverside, CA...............................
Sacramento, CA...........................
San Bernardino, CA.....................
San Diego, CA..............................
San Francisco, CA.......................
San Joaquin, CA..........................
San Luis Obispo, CA....................
San Mateo, CA.............................
Santa Barbara, CA.......................
Santa Clara, CA...........................
52.4
52.0
50.8
99.8
56.9
16.8
9.8
25.6
14.6
65.2
613.2
610.7
653.2
1,330.2
630.5
212.0
107.6
366.1
182.4
965.7
3.9
2.7
3.8
1.9
4.1
2.7
3.6
4.0
2.5
4.1
31
81
33
130
24
81
39
29
90
24
773
1,069
824
1,107
1,753
815
805
2,724
936
1,972
1.4
1.2
-1.1
0.8
3.0
0.6
-1.5
-15.8
-3.0
3.4
75
91
257
120
19
134
280
333
321
17
Santa Cruz, CA............................
Solano, CA...................................
Sonoma, CA.................................
Stanislaus, CA..............................
Tulare, CA....................................
Ventura, CA..................................
Yolo, CA.......................................
Adams, CO...................................
Arapahoe, CO..............................
Boulder, CO..................................
9.1
10.2
19.0
14.3
9.2
24.8
6.0
9.0
19.2
13.3
92.1
127.4
189.5
165.7
145.7
314.0
91.3
177.1
300.5
167.6
2.0
2.0
5.2
2.4
3.5
1.2
2.4
4.6
2.8
3.0
122
122
3
98
42
188
98
11
76
61
907
1,015
913
801
696
978
1,021
946
1,145
1,174
6.5
2.9
-0.7
1.1
0.0
-0.6
2.3
2.3
-0.9
3.7
1
22
238
95
186
232
36
36
250
13
Denver, CO..................................
Douglas, CO.................................
El Paso, CO..................................
Jefferson, CO...............................
Larimer, CO..................................
Weld, CO......................................
Fairfield, CT.................................
Hartford, CT..................................
New Haven, CT............................
New London, CT..........................
27.0
10.0
16.9
17.8
10.3
6.0
33.7
26.2
22.9
7.1
451.2
106.3
246.4
218.3
138.3
93.2
420.0
501.8
361.9
121.7
4.0
5.2
2.0
1.8
2.9
6.0
0.7
0.2
0.2
-1.5
29
3
122
139
72
1
230
279
279
329
1,224
1,123
887
1,005
900
871
1,653
1,197
1,040
971
1.0
-29.7
0.2
-0.2
1.4
4.8
-3.3
-1.0
0.5
0.1
106
334
165
205
75
8
325
253
141
174
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
New Castle, DE............................
Washington, DC...........................
Alachua, FL..................................
Brevard, FL...................................
Broward, FL..................................
Collier, FL.....................................
Duval, FL.....................................
Escambia, FL...............................
Hillsborough, FL...........................
Lake, FL.......................................
17.3
36.0
6.7
14.8
66.2
12.5
28.0
8.1
39.7
7.5
277.4
727.3
119.0
190.0
742.7
131.0
458.8
123.2
624.7
85.1
1.8
0.6
1.0
0.5
2.8
4.2
2.2
1.7
3.4
2.4
139
239
207
249
76
20
113
150
46
98
$1,160
1,638
865
874
920
861
946
774
960
668
-1.2
-3.9
3.0
-0.2
-0.1
2.4
-0.9
-1.5
0.4
2.3
265
328
19
205
195
31
250
280
150
36
Lee, FL.........................................
Leon, FL.......................................
Manatee, FL.................................
Marion, FL....................................
Miami-Dade, FL............................
Okaloosa, FL................................
Orange, FL...................................
Palm Beach, FL............................
Pasco, FL.....................................
Pinellas, FL...................................
19.8
8.4
9.8
8.1
94.5
6.1
38.2
51.8
10.2
31.6
223.5
141.4
113.3
93.3
1,047.5
76.3
723.6
543.7
103.2
396.9
5.5
1.0
3.0
0.7
2.5
0.2
3.0
3.6
2.1
1.0
2
207
61
230
90
279
61
39
118
207
783
824
746
692
982
786
861
993
695
907
1.3
1.9
2.3
0.3
0.8
-0.6
0.3
-1.3
1.6
1.0
83
54
36
160
120
232
160
272
64
106
Polk, FL........................................
Sarasota, FL................................
Seminole, FL................................
Volusia, FL...................................
Bibb, GA.......................................
Chatham, GA................................
Clayton, GA..................................
Cobb, GA......................................
De Kalb, GA.................................
Fulton, GA....................................
12.6
14.9
14.2
13.5
4.6
8.1
4.3
22.3
18.5
43.6
200.6
149.8
166.7
155.1
81.8
137.1
112.3
320.0
282.9
761.2
2.4
4.9
3.0
2.2
1.2
2.3
1.5
3.3
3.3
2.8
98
5
61
113
188
107
163
51
51
76
748
834
814
702
765
839
910
1,043
994
1,290
1.1
0.5
0.2
-0.4
0.8
1.3
5.1
0.6
-1.6
-2.3
95
141
165
220
120
83
5
134
289
309
Gwinnett, GA................................
Muscogee, GA..............................
Richmond, GA..............................
Honolulu, HI..................................
Ada, ID.........................................
Champaign, IL..............................
Cook, IL........................................
Du Page, IL..................................
Kane, IL........................................
Lake, IL........................................
24.8
4.7
4.7
24.9
13.8
4.4
153.8
38.1
13.7
22.7
318.9
94.9
100.7
463.6
209.6
89.0
2,463.3
596.0
203.9
330.7
3.6
0.2
0.5
1.6
4.1
0.7
1.1
1.2
1.9
1.2
39
279
249
156
24
230
200
188
130
188
958
788
823
909
901
827
1,174
1,180
876
1,289
-0.9
0.9
-0.8
0.1
6.4
2.7
-1.0
1.5
1.2
0.3
250
114
245
174
2
27
253
69
91
160
McHenry, IL..................................
McLean, IL....................................
Madison, IL...................................
Peoria, IL......................................
St. Clair, IL....................................
Sangamon, IL...............................
Will, IL..........................................
Winnebago, IL..............................
Allen, IN........................................
Elkhart, IN.....................................
8.8
3.9
6.1
4.7
5.7
5.4
15.8
6.8
8.9
4.8
95.1
85.2
95.4
101.8
92.2
126.8
214.6
124.6
178.1
117.4
1.9
-0.7
-0.4
-2.2
-3.1
0.6
3.1
-0.1
1.1
4.3
130
317
308
332
334
239
59
296
200
17
825
956
822
935
779
999
860
849
772
787
-8.8
1.1
2.1
0.5
-0.3
1.6
1.3
2.2
-0.3
1.0
331
95
43
141
214
64
83
41
214
106
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
Hamilton, IN..................................
Lake, IN........................................
Marion, IN.....................................
St. Joseph, IN...............................
Tippecanoe, IN.............................
Vanderburgh, IN...........................
Johnson, IA..................................
Linn, IA.........................................
Polk, IA........................................
Scott, IA........................................
8.7
10.3
23.9
5.9
3.3
4.8
3.9
6.4
15.9
5.5
121.9
189.5
580.0
117.7
80.3
104.8
80.6
128.1
282.5
89.9
4.1
-0.6
1.5
0.5
0.3
-0.4
1.5
0.4
2.9
1.0
24
316
163
249
271
308
163
260
72
207
$934
876
974
786
816
796
879
959
991
836
1.5
-2.9
-1.7
-0.1
0.9
0.1
3.3
1.3
0.8
-1.1
69
320
293
195
114
174
18
83
120
257
Johnson, KS.................................
Sedgwick, KS...............................
Shawnee, KS................................
Wyandotte, KS.............................
Boone, KY...................................
Fayette, KY...................................
Jefferson, KY................................
Caddo, LA....................................
Calcasieu, LA...............................
East Baton Rouge, LA..................
21.3
12.2
4.8
3.3
4.1
10.3
24.2
7.5
5.0
14.9
325.6
245.9
96.8
84.8
78.9
189.3
441.3
116.0
85.8
265.7
2.5
1.2
1.8
3.4
0.5
3.3
1.3
-1.8
1.3
0.9
90
188
139
46
249
51
175
330
175
218
1,022
908
806
899
870
845
929
825
858
938
-2.1
-0.7
-5.1
2.5
-1.1
-1.1
-0.5
0.0
1.3
-1.3
307
238
330
29
257
257
226
186
83
272
Jefferson, LA................................
Lafayette, LA................................
Orleans, LA..................................
St. Tammany, LA..........................
Cumberland, ME..........................
Anne Arundel, MD........................
Baltimore, MD...............................
Frederick, MD...............................
Harford, MD..................................
Howard, MD.................................
13.7
9.3
11.5
7.7
12.8
14.6
21.2
6.2
5.6
9.4
193.4
141.8
186.2
82.2
173.6
254.9
367.7
95.4
89.1
160.1
-0.1
2.0
4.2
1.5
0.7
1.3
0.4
-0.5
-0.9
0.1
296
122
20
163
230
175
260
314
320
290
912
987
973
858
904
1,066
1,008
946
964
1,193
-0.2
-0.3
-1.8
1.7
1.3
0.5
-0.5
-1.1
-1.7
-1.2
205
214
299
62
83
141
226
257
293
265
Montgomery, MD..........................
Prince Georges, MD.....................
Baltimore City, MD.......................
Barnstable, MA.............................
Bristol, MA....................................
Essex, MA....................................
Hampden, MA..............................
Middlesex, MA..............................
Norfolk, MA...................................
Plymouth, MA...............................
33.1
15.6
13.9
8.9
16.1
21.8
15.9
49.3
23.3
14.0
454.9
303.1
333.1
86.9
217.0
314.3
201.2
849.5
336.8
180.6
0.0
0.0
-0.2
1.2
1.0
1.5
1.4
1.4
1.3
1.3
293
293
300
188
207
163
170
170
175
175
1,316
1,003
1,163
854
908
1,047
905
1,437
1,214
950
-2.3
-1.3
-1.2
1.5
0.8
-0.8
0.4
0.1
0.5
2.4
309
272
265
69
120
245
150
174
141
31
Suffolk, MA...................................
Worcester, MA..............................
Genesee, MI.................................
Ingham, MI...................................
Kalamazoo, MI.............................
Kent, MI.......................................
Macomb, MI..................................
Oakland, MI..................................
Ottawa, MI....................................
Saginaw, MI..................................
24.1
21.7
7.1
6.2
5.2
14.0
17.3
38.0
5.5
4.1
614.3
326.8
133.2
152.6
112.3
359.6
304.8
690.7
111.3
85.3
2.3
1.0
0.2
0.9
0.9
4.3
2.7
1.9
3.1
1.3
107
207
279
218
218
17
81
130
59
175
1,741
1,000
817
935
908
880
1,010
1,115
867
804
0.6
3.5
0.4
0.2
1.2
0.0
0.7
-2.5
4.1
2.0
134
16
150
165
91
186
128
315
11
47
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
Washtenaw, MI.............................
Wayne, MI....................................
Anoka, MN....................................
Dakota, MN..................................
Hennepin, MN..............................
Olmsted, MN................................
Ramsey, MN.................................
St. Louis, MN................................
Stearns, MN.................................
Harrison, MS................................
8.2
31.0
6.9
9.5
40.9
3.3
13.2
5.3
4.3
4.5
200.8
690.6
116.6
180.3
867.7
91.9
323.2
95.9
83.0
83.6
1.0
-0.2
3.0
2.5
1.7
-1.0
1.5
0.5
1.8
1.4
207
300
61
90
150
322
163
249
139
170
$1,030
1,085
902
941
1,208
1,084
1,095
798
819
692
-0.2
0.0
0.6
0.2
-2.4
3.6
1.9
2.8
1.6
0.4
205
186
134
165
311
14
54
24
64
150
Hinds, MS.....................................
Boone, MO...................................
Clay, MO......................................
Greene, MO..................................
Jackson, MO................................
St. Charles, MO............................
St. Louis, MO................................
St. Louis City, MO........................
Yellowstone, MT...........................
Douglas, NE.................................
6.1
4.7
5.2
8.1
19.4
8.5
33.3
10.3
6.2
18.2
120.5
89.7
90.8
157.4
350.7
134.5
581.9
221.1
77.9
326.7
-0.4
2.2
3.5
1.2
0.4
2.9
1.7
-0.1
0.4
1.9
308
113
42
188
260
72
150
296
260
130
863
765
890
737
1,003
770
1,091
1,034
856
890
0.7
0.4
1.5
-0.1
-2.7
0.1
0.1
-0.6
1.1
-1.5
128
150
69
195
317
174
174
232
95
280
Lancaster, NE...............................
Clark, NV.....................................
Washoe, NV.................................
Hillsborough, NH..........................
Rockingham, NH..........................
Atlantic, NJ...................................
Bergen, NJ...................................
Burlington, NJ...............................
Camden, NJ.................................
Essex, NJ....................................
9.8
50.8
13.8
12.1
10.6
6.6
32.9
11.0
12.0
20.5
163.6
854.4
193.1
195.3
139.6
130.4
446.1
198.0
198.0
338.1
2.1
3.2
3.4
1.6
1.3
-0.9
3.0
-0.2
1.4
-0.4
118
57
46
156
175
320
61
300
170
308
790
875
894
1,135
986
813
1,240
1,029
1,025
1,237
-0.3
0.9
1.0
-0.4
-5.0
0.0
-2.7
-0.5
2.0
1.4
214
114
106
220
329
186
317
226
47
75
Gloucester, NJ..............................
Hudson, NJ...................................
Mercer, NJ....................................
Middlesex, NJ..............................
Monmouth, NJ..............................
Morris, NJ.....................................
Ocean, NJ....................................
Passaic, NJ..................................
Somerset, NJ...............................
Union, NJ.....................................
6.1
14.3
11.1
21.9
20.0
17.2
12.6
12.3
10.1
14.3
100.4
239.9
235.3
397.2
246.9
283.3
154.5
171.9
179.3
223.3
1.8
0.3
1.0
0.3
1.7
1.8
4.8
-0.8
1.8
-0.5
139
271
207
271
150
139
6
318
139
314
901
1,284
1,290
1,186
1,034
1,553
826
990
1,484
1,283
2.6
-0.6
-1.6
2.4
-0.4
5.0
-1.8
-1.1
2.8
5.2
28
232
289
31
220
6
299
257
24
4
Bernalillo, NM...............................
Albany, NY...................................
Bronx, NY.....................................
Broome, NY..................................
Dutchess, NY...............................
Erie, NY........................................
Kings, NY.....................................
Monroe, NY..................................
Nassau, NY..................................
New York, NY...............................
18.0
10.1
17.3
4.6
8.3
24.3
55.8
18.5
53.3
125.1
314.8
225.8
247.7
88.3
113.2
463.6
557.1
380.3
616.7
2,500.2
0.9
0.7
2.9
-2.2
0.9
0.4
4.5
0.2
2.3
2.4
218
230
72
332
218
260
14
279
107
98
836
1,019
948
765
958
857
816
894
1,120
2,041
-0.1
4.6
1.5
0.3
-1.7
0.5
-0.1
0.3
-1.5
-3.3
195
10
69
160
293
141
195
160
280
325
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
Oneida, NY...................................
Onondaga, NY..............................
Orange, NY..................................
Queens, NY..................................
Richmond, NY..............................
Rockland, NY...............................
Saratoga, NY................................
Suffolk, NY...................................
Westchester, NY..........................
Buncombe, NC.............................
5.3
13.0
10.0
49.0
9.3
10.1
5.7
51.5
36.2
8.1
105.2
245.8
135.7
544.5
98.9
119.5
80.6
640.5
414.4
118.8
-0.4
0.5
0.6
1.5
4.4
1.8
1.9
1.2
0.2
1.6
308
249
239
163
15
139
130
188
279
156
$772
914
815
955
849
1,063
887
1,079
1,348
758
-0.5
-1.7
-0.7
2.1
0.2
-0.2
1.1
1.9
-0.3
0.7
226
293
238
43
165
205
95
54
214
128
Catawba, NC................................
Cumberland, NC...........................
Durham, NC.................................
Forsyth, NC..................................
Guilford, NC..................................
Mecklenburg, NC..........................
New Hanover, NC........................
Wake, NC.....................................
Cass, ND......................................
Butler, OH.....................................
4.3
6.2
7.4
9.0
14.1
33.1
7.3
30.0
6.4
7.5
81.7
118.0
186.9
178.2
271.6
606.8
101.4
485.0
111.7
142.6
1.6
-1.0
1.3
2.7
1.1
3.7
2.7
3.7
2.7
2.3
156
322
175
81
200
34
81
34
81
107
731
766
1,255
895
858
1,098
799
984
894
846
0.8
-0.8
3.6
2.2
-0.1
-0.5
1.1
0.5
1.4
-0.1
120
245
14
41
195
226
95
141
75
195
Cuyahoga, OH..............................
Delaware, OH...............................
Franklin, OH.................................
Hamilton, OH................................
Lake, OH......................................
Lorain, OH....................................
Lucas, OH....................................
Mahoning, OH..............................
Montgomery, OH..........................
Stark, OH.....................................
35.8
4.6
30.0
23.3
6.3
6.0
10.1
6.0
12.0
8.8
716.4
82.2
708.0
499.0
94.0
95.7
206.7
99.1
245.6
157.2
0.6
1.3
2.7
1.2
-0.3
0.9
1.9
0.3
0.4
0.2
239
175
81
188
305
218
130
271
260
279
1,012
955
971
1,074
817
800
852
709
861
758
-0.7
-0.3
0.5
-1.6
1.0
-1.7
-1.5
-1.1
-0.2
0.7
238
214
141
289
106
293
280
257
205
128
Summit, OH.................................
Warren, OH.................................
Oklahoma, OK..............................
Tulsa, OK.....................................
Clackamas, OR............................
Jackson, OR................................
Lane, OR......................................
Marion, OR...................................
Multnomah, OR............................
Washington, OR...........................
14.1
4.4
25.8
21.3
13.1
6.7
11.0
9.6
30.8
17.1
260.1
78.9
440.4
341.3
143.8
79.9
141.1
135.8
461.1
262.6
0.5
2.6
0.9
0.2
0.7
2.0
1.3
4.3
2.8
3.7
249
88
218
279
230
122
175
17
76
34
878
835
962
950
914
722
772
778
1,006
1,163
-1.3
-2.8
0.7
-3.6
2.1
2.0
2.3
2.4
2.0
5.9
272
319
128
327
43
47
36
31
47
3
Allegheny, PA...............................
Berks, PA.....................................
Bucks, PA.....................................
Butler, PA.....................................
Chester, PA..................................
Cumberland, PA...........................
Dauphin, PA................................
Delaware, PA...............................
Erie, PA........................................
Lackawanna, PA..........................
34.8
8.9
19.5
4.9
15.1
6.1
7.3
13.6
7.1
5.8
691.0
166.6
250.5
84.5
242.1
126.2
176.4
217.9
124.0
97.9
0.4
0.6
0.4
-0.4
0.6
0.5
0.8
1.3
-0.1
-0.3
260
239
260
308
239
249
227
175
296
305
1,068
874
958
944
1,293
890
970
1,071
774
741
1.1
0.1
0.1
3.9
-0.1
2.8
1.8
0.9
-0.4
1.8
95
174
174
12
195
24
59
114
220
59
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
Lancaster, PA...............................
Lehigh, PA....................................
Luzerne, PA..................................
Montgomery, PA...........................
Northampton, PA..........................
Philadelphia, PA...........................
Washington, PA............................
Westmoreland, PA.......................
York, PA.......................................
Providence, RI..............................
12.7
8.6
7.5
27.1
6.5
34.3
5.3
9.3
8.9
17.5
223.3
181.5
142.0
475.1
105.7
641.1
86.1
132.3
172.5
276.5
0.7
1.7
0.9
0.3
0.8
0.6
0.0
-1.3
0.1
1.3
230
150
218
271
227
239
293
327
290
175
$828
962
749
1,216
851
1,181
993
795
839
1,015
1.7
-0.5
1.5
-3.0
2.0
0.0
-2.4
0.1
0.2
2.0
62
226
69
321
47
186
311
174
165
47
Charleston, SC.............................
Greenville, SC..............................
Horry, SC.....................................
Lexington, SC...............................
Richland, SC................................
Spartanburg, SC...........................
York, SC.......................................
Minnehaha, SD.............................
Davidson, TN................................
Hamilton, TN................................
12.4
12.6
7.8
5.8
9.3
6.0
4.8
6.8
19.1
8.7
222.0
242.6
106.9
109.7
208.0
122.7
78.7
120.0
449.9
189.1
2.8
3.3
1.6
4.1
0.8
3.4
4.2
2.3
2.4
0.3
76
51
156
24
227
46
20
107
98
271
846
854
587
723
846
824
798
847
1,061
905
1.4
1.1
1.4
-1.0
0.6
-0.4
1.4
0.4
-1.7
0.9
75
95
75
253
134
220
75
150
293
114
Knox, TN......................................
Rutherford, TN..............................
Shelby, TN....................................
Williamson, TN.............................
Bell, TX.........................................
Bexar, TX.....................................
Brazoria, TX.................................
Brazos, TX....................................
Cameron, TX................................
Collin, TX......................................
11.1
4.6
19.4
6.9
4.9
36.6
5.2
4.1
6.4
20.5
223.9
110.7
482.4
105.6
111.9
784.1
96.1
94.5
133.7
336.7
0.9
3.5
-0.2
4.6
1.8
2.3
1.7
3.4
1.2
3.9
218
42
300
11
139
107
150
46
188
31
875
880
1,019
1,169
790
882
965
735
598
1,146
-0.2
0.1
-1.1
-2.2
0.6
0.7
2.9
0.4
-1.5
-1.5
205
174
257
308
134
128
22
150
280
280
Dallas, TX.....................................
Denton, TX..................................
El Paso, TX..................................
Fort Bend, TX...............................
Galveston, TX...............................
Gregg, TX.....................................
Harris, TX.....................................
Hidalgo, TX...................................
Jefferson, TX................................
Lubbock, TX.................................
71.0
12.2
14.3
10.7
5.6
4.2
107.0
11.7
5.8
7.2
1,530.1
199.0
285.7
162.4
100.2
77.8
2,225.4
240.8
119.4
131.1
3.2
4.4
1.0
4.8
2.5
1.1
3.0
2.4
-0.2
2.2
57
15
207
6
90
200
61
98
300
113
1,197
875
686
1,025
877
922
1,316
620
997
771
-1.2
0.2
-1.6
1.6
-2.4
3.0
-1.2
1.0
-1.2
-0.1
265
165
289
64
311
19
265
106
265
195
McLennan, TX..............................
Midland, TX..................................
Montgomery, TX...........................
Nueces, TX..................................
Potter, TX.....................................
Smith, TX.....................................
Tarrant, TX...................................
Travis, TX.....................................
Webb, TX.....................................
Williamson, TX.............................
5.0
5.2
9.7
8.1
4.0
5.8
39.6
34.1
5.0
8.6
103.1
86.5
155.1
162.2
78.4
97.3
820.4
644.8
94.4
143.2
0.2
4.8
4.6
2.4
0.5
2.5
2.0
3.3
2.0
4.7
279
6
11
98
249
90
122
51
122
9
809
1,299
1,006
875
803
854
988
1,108
670
945
-0.7
2.0
1.0
-1.2
0.0
-0.8
1.6
-0.6
-2.0
0.5
238
47
106
265
186
245
64
232
305
141
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 335 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13³
Ranking by
percent
change
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13³
Ranking by
percent
change
Davis, UT.....................................
Salt Lake, UT................................
Utah, UT.......................................
Weber, UT....................................
Chittenden, VT.............................
Arlington, VA................................
Chesterfield, VA...........................
Fairfax, VA....................................
Henrico, VA..................................
Loudoun, VA................................
7.7
40.3
13.8
5.6
6.3
8.8
8.0
35.1
10.4
10.4
111.8
625.6
191.5
94.3
99.9
165.5
128.0
588.4
180.7
148.6
3.0
3.3
4.2
2.1
0.4
-1.1
2.5
-1.2
-0.8
1.6
61
51
20
118
260
324
90
326
318
156
$767
933
812
721
994
1,588
875
1,558
960
1,190
-1.4
-1.5
-2.5
-0.8
1.2
-2.4
0.6
-2.0
1.3
1.0
278
280
315
245
91
311
134
305
83
106
Prince William, VA........................
Alexandria City, VA......................
Chesapeake City, VA...................
Newport News City, VA................
Norfolk City, VA...........................
Richmond City, VA.......................
Virginia Beach City, VA................
Benton, WA..................................
Clark, WA.....................................
King, WA......................................
8.1
6.2
5.7
3.7
5.6
7.1
11.3
6.2
15.0
88.9
117.7
95.6
96.8
99.4
137.9
148.5
169.5
76.9
137.2
1,223.4
0.7
-1.4
0.6
1.0
-0.3
0.3
1.2
0.6
3.7
3.5
230
328
239
207
305
271
188
239
34
42
863
1,414
775
920
953
1,068
780
978
896
1,300
-0.7
-3.2
0.1
0.8
-1.5
0.1
-10.0
0.9
0.4
1.9
238
324
174
120
280
174
332
114
150
54
Kitsap, WA....................................
Pierce, WA...................................
Snohomish, WA............................
Spokane, WA...............................
Thurston, WA...............................
Whatcom, WA..............................
Yakima, WA.................................
Kanawha, WV...............................
Brown, WI.....................................
Dane, WI......................................
7.1
23.6
21.2
17.1
8.1
7.4
9.5
6.0
6.6
14.4
81.5
275.7
267.3
204.0
101.2
83.2
95.7
104.4
149.8
313.9
1.3
3.0
1.8
1.6
2.2
1.8
0.7
-1.1
1.4
1.1
175
61
139
156
113
139
230
324
170
200
847
869
1,020
821
860
806
689
844
894
1,003
-1.3
0.0
1.1
1.4
2.4
1.3
1.8
0.4
-0.2
4.7
272
186
95
75
31
83
59
150
205
9
Milwaukee, WI..............................
Outagamie, WI.............................
Waukesha, WI..............................
Winnebago, WI.............................
San Juan, PR...............................
24.8
5.1
12.6
3.6
11.2
481.7
103.2
231.8
90.0
268.1
0.5
1.0
1.1
-1.8
-2.1
249
207
200
330
(⁵)
963
833
993
962
659
-0.2
0.2
-1.4
5.0
-0.5
205
165
278
6
(⁵)
¹ Includes areas not officially designated as counties. See Technical Note.
² Average weekly wages were calculated using unrounded data.
³ Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical
Note.
⁴ Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
⁵ This county was not included in the U.S. rankings.
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees
(UCFE) programs. These 334 U.S. counties comprise 71.7 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
fourth quarter 2013
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13²
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13²
United States³.................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
9,333.7
9,041.0
134.6
749.4
336.5
1,909.1
146.3
825.6
1,652.0
1,484.4
787.6
799.4
292.7
136,129.4
114,706.1
1,930.2
5,840.7
12,051.4
26,685.6
2,724.5
7,673.9
18,834.1
20,493.9
14,087.6
4,159.3
21,423.3
1.8
2.1
2.0
3.6
0.8
2.0
0.5
1.2
2.9
1.5
3.0
1.1
-0.3
$1,000
1,006
1,164
1,119
1,220
831
1,754
1,587
1,331
913
421
663
965
0.0
-0.2
1.4
1.6
1.3
0.7
-3.4
-2.6
-1.3
0.2
1.0
2.2
0.5
Los Angeles, CA..............................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
440.9
435.1
0.5
12.5
12.5
52.1
8.7
23.0
45.1
202.6
28.8
25.6
5.8
4,176.8
3,639.6
9.9
117.9
366.0
806.8
197.8
212.2
615.2
706.0
443.8
141.1
537.2
1.9
2.2
5.7
5.2
0.2
1.7
-0.5
-0.7
3.3
0.7
4.6
1.5
-0.2
1,161
1,150
1,778
1,176
1,183
914
2,197
1,765
1,418
878
946
682
1,232
-1.9
-2.3
1.3
1.6
0.3
0.8
-3.9
-4.4
-4.8
-0.7
-5.5
0.9
1.1
Cook, IL...........................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
153.8
152.5
0.1
12.7
6.6
30.3
2.8
15.9
32.7
16.2
13.8
17.0
1.3
2,463.3
2,167.6
0.8
62.3
188.2
466.5
53.5
183.9
446.9
420.9
245.3
94.8
295.7
1.1
1.3
0.0
1.5
-1.1
0.9
-2.6
-0.1
3.7
1.4
1.3
0.0
0.0
1,174
1,174
1,103
1,511
1,265
913
1,666
2,179
1,531
960
488
867
1,175
-1.0
-1.4
2.9
1.8
0.9
1.4
2.6
-6.5
-3.7
-0.6
3.4
3.3
2.4
New York, NY..................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
125.1
124.8
0.0
2.2
2.3
20.8
4.5
19.1
26.3
9.6
13.4
19.5
0.3
2,500.2
2,058.5
0.2
33.4
26.0
273.4
147.1
356.2
516.7
324.6
276.9
97.5
441.7
2.4
2.8
1.3
1.0
0.1
1.8
2.6
0.5
2.8
3.1
5.8
2.8
0.4
2,041
2,239
1,932
2,099
1,546
1,400
2,525
4,740
2,446
1,261
923
1,126
1,126
-3.3
-4.1
2.6
5.1
0.6
-8.8
1.3
-8.4
0.4
2.8
1.8
3.4
2.4
See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13²
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13²
Harris, TX........................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
107.0
106.5
1.8
6.6
4.6
24.1
1.2
11.0
21.5
14.7
8.9
11.6
0.6
2,225.4
1,963.3
97.7
145.8
198.0
469.0
29.0
118.6
375.2
266.6
201.6
61.0
262.1
3.0
3.1
7.5
2.1
2.9
2.8
2.1
2.7
1.8
3.0
5.1
2.6
2.3
$1,316
1,354
3,383
1,358
1,591
1,157
1,434
1,669
1,667
1,016
439
763
1,033
-1.2
-1.4
-4.2
0.2
-6.2
-2.8
0.2
-2.2
1.6
0.3
1.4
3.0
0.7
Maricopa, AZ....................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
92.8
92.1
0.5
7.4
3.1
20.5
1.5
11.1
22.0
10.8
7.4
6.5
0.7
1,771.9
1,562.1
8.2
92.3
113.7
361.3
32.2
152.6
303.6
258.0
191.1
47.9
209.9
3.0
3.3
-2.6
4.2
0.0
3.0
3.5
4.5
3.8
2.1
5.8
1.5
0.4
952
951
937
1,039
1,308
855
1,242
1,188
1,076
1,009
440
642
959
-1.3
-1.8
-4.2
-0.8
1.3
-5.2
-5.0
-1.1
-1.2
0.6
-0.9
1.1
1.4
Dallas, TX........................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
71.0
70.5
0.6
4.1
2.7
15.4
1.4
8.7
15.8
8.7
6.1
6.8
0.5
1,530.1
1,364.2
9.3
73.6
106.9
321.3
48.7
150.6
295.6
178.3
139.6
39.7
166.0
3.2
3.5
5.4
5.7
-4.0
5.6
4.1
3.9
3.3
2.8
4.5
2.0
1.3
1,197
1,213
3,778
1,165
1,373
1,058
1,779
1,585
1,460
1,042
521
770
1,064
-1.2
-1.4
-12.9
0.0
-2.0
-0.6
6.5
-4.6
0.1
-2.0
-1.3
-0.8
0.5
Orange, CA......................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
107.0
105.7
0.2
6.1
4.8
16.4
1.2
10.0
19.7
26.1
7.5
6.2
1.3
1,463.1
1,325.5
3.1
77.8
157.5
263.5
24.9
112.5
265.9
183.8
188.1
41.0
137.6
2.0
2.1
1.9
6.0
-0.6
1.3
1.2
0.6
0.9
3.1
3.7
0.7
1.2
1,114
1,119
738
1,240
1,341
993
1,677
1,915
1,335
971
438
689
1,067
-1.8
-2.0
1.2
-1.8
-0.7
-0.8
-0.5
-5.8
-1.3
-2.9
1.2
6.2
0.4
See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
fourth quarter 2013 - Continued
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13²
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13²
San Diego, CA................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
99.8
98.3
0.7
6.0
3.0
13.8
1.1
8.8
17.2
27.2
7.3
6.7
1.4
1,330.2
1,110.8
9.2
62.1
95.1
223.2
23.9
70.8
226.7
179.8
167.6
46.1
219.5
1.9
2.2
1.1
6.4
-0.1
1.1
-1.8
-0.8
2.6
1.3
3.3
3.1
0.4
$1,107
1,103
662
1,121
1,499
818
1,719
1,370
1,787
955
443
584
1,130
0.8
1.3
-0.3
-0.8
-2.0
-2.2
7.8
-1.4
5.9
-0.1
0.9
-3.2
-1.1
King, WA.........................................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
88.9
88.4
0.4
5.8
2.3
14.8
1.9
6.4
15.1
26.8
6.8
8.2
0.5
1,223.4
1,063.5
2.4
53.7
105.6
231.3
83.3
65.5
202.1
158.5
120.7
40.4
159.8
3.5
3.7
-0.8
6.6
2.6
4.6
3.4
2.2
3.5
2.8
4.5
3.8
1.8
1,300
1,316
1,360
1,267
1,532
1,110
2,559
1,589
1,704
946
532
811
1,190
1.9
1.9
-33.2
1.8
3.2
2.4
2.7
0.5
0.6
1.1
9.9
5.3
1.1
Miami-Dade, FL...............................................................
Private industry.............................................................
Natural resources and mining....................................
Construction...............................................................
Manufacturing............................................................
Trade, transportation, and utilities..............................
Information.................................................................
Financial activities......................................................
Professional and business services...........................
Education and health services...................................
Leisure and hospitality...............................................
Other services............................................................
Government..................................................................
94.5
94.1
0.5
5.3
2.7
27.8
1.6
9.7
20.0
10.2
7.2
8.2
0.3
1,047.5
909.7
9.5
33.8
36.5
274.6
18.2
69.9
141.1
160.5
127.1
37.2
137.9
2.5
3.0
5.0
10.0
2.6
3.0
3.7
3.8
2.9
1.0
2.3
2.8
-0.5
982
962
545
945
952
890
1,531
1,521
1,268
942
555
606
1,112
0.8
0.7
-7.3
-6.3
2.0
4.7
1.9
0.0
-4.1
1.4
0.9
2.5
1.8
¹ Average weekly wages were calculated using unrounded data.
² Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical Note.
³ Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Counties selected are based on 2012 annual average employment. Includes workers covered by Unemployment Insurance
(UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
Table 3. Covered establishments, employment, and wages by state,
fourth quarter 2013
Average weekly wage ¹
Employment
State
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13
United States²..........................................
9,333.7
136,129.4
1.8
$1,000
0.0
Alabama....................................................
Alaska........................................................
Arizona......................................................
Arkansas...................................................
California...................................................
Colorado....................................................
Connecticut...............................................
Delaware...................................................
District of Columbia...................................
Florida.......................................................
117.0
22.0
145.8
87.5
1,376.4
175.3
113.7
28.5
36.0
635.5
1,866.5
315.1
2,571.0
1,154.3
15,650.3
2,383.9
1,661.2
419.6
727.3
7,739.5
1.0
0.0
2.4
-0.5
2.8
3.1
0.3
1.8
0.6
2.7
851
1,022
906
771
1,175
1,023
1,238
1,035
1,638
883
-0.5
1.6
-0.5
0.4
-0.9
-0.9
-1.3
-0.6
-3.9
0.2
Georgia......................................................
Hawaii........................................................
Idaho.........................................................
Illinois........................................................
Indiana.......................................................
Iowa...........................................................
Kansas......................................................
Kentucky....................................................
Louisiana...................................................
Maine.........................................................
278.6
38.9
54.1
404.2
159.6
98.4
85.1
119.5
129.0
49.8
3,986.9
632.9
634.5
5,758.9
2,896.9
1,510.9
1,359.5
1,818.0
1,911.6
586.8
2.5
1.7
2.6
1.0
1.6
1.4
1.6
1.2
0.9
0.8
924
871
754
1,060
814
834
832
804
889
786
-0.1
0.3
3.0
0.2
-0.2
1.6
-0.4
0.2
0.5
1.7
Maryland....................................................
Massachusetts..........................................
Michigan....................................................
Minnesota..................................................
Mississippi.................................................
Missouri.....................................................
Montana....................................................
Nebraska...................................................
Nevada......................................................
New Hampshire.........................................
166.2
222.1
235.7
164.5
71.3
182.4
43.6
69.5
75.1
50.1
2,555.1
3,332.9
4,072.4
2,720.6
1,108.1
2,670.4
440.0
944.3
1,180.5
629.3
0.4
1.5
2.0
1.7
1.1
1.1
1.3
1.4
3.0
1.4
1,076
1,258
952
988
729
861
760
796
884
1,017
-0.9
0.8
-0.2
0.3
1.3
-0.2
0.4
-0.1
0.7
-0.8
New Jersey...............................................
New Mexico...............................................
New York..................................................
North Carolina...........................................
North Dakota.............................................
Ohio...........................................................
Oklahoma..................................................
Oregon......................................................
Pennsylvania.............................................
Rhode Island.............................................
265.3
56.4
617.6
258.2
31.2
288.9
106.4
136.0
345.9
35.6
3,887.5
796.2
8,888.6
4,045.5
435.0
5,175.4
1,581.3
1,699.6
5,650.3
462.7
1.2
-0.1
1.7
1.9
3.3
1.4
0.6
2.5
0.4
1.4
1,186
814
1,266
860
980
887
851
894
976
960
1.1
1.4
-1.1
0.7
3.8
0.0
-0.1
2.6
0.4
1.5
South Carolina..........................................
South Dakota............................................
Tennessee.................................................
Texas.........................................................
Utah...........................................................
Vermont.....................................................
Virginia......................................................
Washington...............................................
West Virginia.............................................
Wisconsin..................................................
118.1
31.8
144.3
613.7
89.9
24.6
240.6
253.8
49.8
164.9
1,875.8
407.1
2,758.3
11,246.3
1,284.7
308.5
3,670.0
2,976.0
710.1
2,751.8
2.3
1.3
1.8
2.6
3.1
0.6
0.1
2.5
-0.6
1.0
793
759
895
1,027
836
848
1,028
1,034
792
865
1.0
1.3
-0.9
0.0
-0.9
2.3
-1.3
1.7
0.5
1.2
See footnotes at end of table.
Table 3. Covered establishments, employment, and wages by state,
fourth quarter 2013 - Continued
Average weekly wage ¹
Employment
State
Establishments,
fourth quarter
2013
(thousands)
December
2013
(thousands)
Percent
change,
December
2012-13
Fourth
quarter
2013
Percent
change,
fourth quarter
2012-13
Wyoming...................................................
25.6
279.2
0.6
$917
1.0
Puerto Rico...............................................
Virgin Islands............................................
48.0
3.3
958.3
38.5
-2.3
-3.6
551
754
0.2
2.4
¹ Average weekly wages were calculated using unrounded data.
² Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for
Federal Employees (UCFE) programs.
Chart 3. Percent change in employment in counties with 75,000 or more employees,
December 2012-13 (U.S. average = 1.8 percent)
Largest Counties
Higher than U.S. average
U.S. average or lower
Source: Bureau of Labor Statistics
June 2014
Chart 4. Percent change in average weekly wage in counties with 75,000
or more employees, fourth quarter 2012-13 (U.S. average = 0.0 percent)
Largest Counties
Higher than U.S. average
U.S. average or lower
Source: Bureau of Labor Statistics
June 2014