For release 10:00 a.m. (EDT), Thursday, September 18, 2014
USDL-14-1713
Technical Information: (202) 691-6567 • [email protected] • www.bls.gov/cew
Media Contact:
(202) 691-5902 • [email protected]
COUNTY EMPLOYMENT AND WAGES
First Quarter 2014
From March 2013 to March 2014, employment increased in 281 of the 339 largest U.S. counties, the
U.S. Bureau of Labor Statistics reported today. Weld, Colo., had the largest increase, with a gain of 7.5
percent over the year, compared with national job growth of 1.7 percent. Within Weld, the largest
employment increase occurred in natural resources and mining, which gained 2,145 jobs over the year
(24.1 percent). Peoria, Ill., had the largest over-the-year decrease in employment among the largest
counties in the U.S. with a loss of 2.6 percent. County employment and wage data are compiled under
the Quarterly Census of Employment and Wages (QCEW) program, which produces detailed
information on county employment and wages within 6 months after the end of each quarter.
The U.S. average weekly wage increased 3.8 percent over the year, growing to $1,027 in the first
quarter of 2014. Chester, Pa., had the largest over-the-year increase in average weekly wages with a gain
of 13.9 percent. Within Chester, an average weekly wage gain of $520, or 49.1 percent, in trade,
transportation, and utilities made the largest contribution to the county’s increase in average weekly
wages. Benton, Ark., experienced the largest decrease in average weekly wages with a loss of 3.2
percent over the year.
Chart 1. Large counties ranked by percent increase in
employment, March 2013-14
(U.S. average = 1.7 percent)
Percent
Percent
16
14
12
10
8
6
4
2
0
8
6
4
2
0
Chart 2. Large counties ranked by percent increase in
average weekly wages, first quarter 2013-14
(U.S. average = 3.8 percent)
Weld,
Colo.
York,
S.C.
Lee,
Fla.
Sarasota,
Fla.
Wyandotte,
Kan.
Chester,
Pa.
New York, San Mateo,
N.Y.
Calif.
Forsyth,
N.C.
San
Francisco,
Calif.
Table A. Large counties ranked by March 2014 employment, March 2013-14 employment
increase, and March 2013-14 percent increase in employment
Employment in large counties
March 2014 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.
Increase in employment,
March 2013-14
(thousands)
134,555.0 United States
4,125.8
2,453.1
2,413.6
2,226.8
1,749.9
1,515.6
1,459.9
1,321.0
1,214.7
1,043.4
Percent increase in employment,
March 2013-14
2,254.3 United States
Los Angeles, Calif.
Harris, Texas
New York, N.Y.
Dallas, Texas
King, Wash.
Maricopa, Ariz.
Santa Clara, Calif.
Orange, Calif.
Clark, Nev.
San Diego, Calif.
79.4
64.0
58.7
45.4
39.1
39.0
36.9
35.0
32.3
26.7
Weld, Colo.
York, S.C.
Lee, Fla.
Sarasota, Fla.
Wyandotte, Kan.
Midland, Texas
Montgomery, Texas
Collier, Fla.
Sonoma, Calif.
Fort Bend, Texas
1.7
7.5
6.4
6.3
5.8
5.5
5.4
5.2
4.9
4.8
4.8
Large County Employment
In March 2014, national employment was 134.6 million (as measured by the QCEW program). Over the
year, employment increased 1.7 percent, or 2.3 million. The 339 U.S. counties with 75,000 or more jobs
accounted for 72.0 percent of total U.S. employment and 78.3 percent of total wages. These 339
counties had a net job growth of 1.7 million over the year, accounting for 74.4 percent of the overall
U.S. employment increase. (See chart 3.)
Weld, Colo., had the largest percentage increase in employment (7.5 percent) among the largest U.S.
counties. The five counties with the largest increases in employment level were Los Angeles, Calif.;
Harris, Texas; New York, N.Y.; Dallas, Texas; and King, Wash. These counties had a combined overthe-year employment gain of 286,600 jobs, which was 12.7 percent of the overall job increase for the
U.S. (See table A.)
Employment declined in 50 of the largest counties from March 2013 to March 2014. Peoria, Ill., had the
largest over-the-year percentage decrease in employment (-2.6 percent). Within Peoria, professional and
business services had the largest decrease in employment, with a loss of 1,240 jobs (-7.4 percent). St.
Clair, Ill. had the second largest percentage decrease in employment, followed by Atlantic, N.J.; Lake,
Ind.; and Arlington, Va. (See table 1.)
-2-
Table B. Large counties ranked by first quarter 2014 average weekly wages, first quarter 2013-14
increase in average weekly wages, and first quarter 2013-14 percent increase in average weekly wages
Average weekly wage in large counties
Average weekly wage,
first quarter 2014
Increase in average weekly
wage, first quarter 2013-14
United States
$1,027
United States
New York, N.Y.
Santa Clara, Calif.
San Mateo, Calif.
Somerset, N.J.
San Francisco, Calif.
Fairfield, Conn.
Suffolk, Mass.
Washington, D.C.
Arlington, Va.
Morris, N.J.
$2,749
2,074
2,058
2,048
1,944
1,922
1,852
1,701
1,669
1,646
New York, N.Y.
San Mateo, Calif.
Chester, Pa.
San Francisco, Calif.
Suffolk, Mass.
Santa Clara, Calif.
Midland, Texas
Middlesex, Mass.
Forsyth, N.C.
Lake, Ill.
Percent increase in average
weekly wage, first
quarter 2013-14
$38
$294
181
173
166
150
137
104
90
90
86
United States
Chester, Pa.
New York, N.Y.
San Mateo, Calif.
Forsyth, N.C.
San Francisco, Calif.
Suffolk, Mass.
Midland, Texas
Palm Beach, Fla.
Washington, Pa.
Elkhart, Ind.
3.8
13.9
12.0
9.6
9.6
9.3
8.8
8.5
7.8
7.3
7.2
Large County Average Weekly Wages
Average weekly wages for the nation increased to $1,027, a 3.8 percent increase, during the year ending
in the first quarter of 2014. Among the 339 largest counties, 323 had over-the-year increases in average
weekly wages. (See chart 4.) Chester, Pa., had the largest wage increase among the largest U.S. counties
(13.9 percent).
Of the 339 largest counties, 15 experienced over-the-year decreases in average weekly wages. Benton,
Ark., had the largest percentage decrease in average weekly wages, with a loss of 3.2 percent. Within
Benton, professional and business services had the largest impact on the county’s average weekly wage
decrease. Within this industry, average weekly wages declined by $253 (-8.9 percent) over the year.
Cumberland, N.C., had the second largest percentage decrease in average weekly wages, followed by
Dutchess, N.Y.; Ocean, N.J.; and McLean, Ill. (See table 1.)
Ten Largest U.S. Counties
All of the 10 largest counties had over-the-year percentage increases in employment in March 2014.
King, Wash., had the largest gain (3.3 percent). Within King, trade, transportation, and utilities had the
largest over-the-year employment level increase among all private industry groups with a gain of 10,023
jobs, or 4.7 percent. Cook, Ill., had the smallest percentage increase in employment (1.0 percent) among
the 10 largest counties. (See table 2.)
Average weekly wages increased over the year in all of the 10 largest U.S. counties. New York, N.Y.,
experienced the largest percentage gain in average weekly wages (12.0 percent). Within New York,
financial services had the largest impact on the county’s average weekly wage growth. Within this
industry, average weekly wages increased by $1,607, or 21.0 percent, over the year. Orange, Calif., had
the smallest increase in average weekly wages (2.7 percent) among the 10 largest counties.
-3-
For More Information
The tables and charts included in this release contain data for the nation and for the 339 U.S. counties
with annual average employment levels of 75,000 or more in 2013. March 2014 employment and 2014
first quarter average weekly wages for all states are provided in table 3 of this release.
The employment and wage data by county are compiled under the QCEW program, also known as the
ES-202 program. The data are derived from reports submitted by every employer subject to
unemployment insurance (UI) laws. The 9.4 million employer reports cover 134.6 million full- and 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
first quarter of 2014 will be available later at www.bls.gov/cew/. For additional information about the
quarterly employment and wages data, please read the Technical Note. Additional information about the
QCEW data may be obtained by calling (202) 691-6567.
Several BLS regional offices are issuing QCEW news releases targeted to local data users. For links to
these releases, see www.bls.gov/cew/cewregional.htm.
The County Employment and Wages release for second quarter 2014 is scheduled to be released
on Thursday, December 18, 2014.
County Changes for the 2014 County Employment and Wages News Releases
Counties with annual average employment of 75,000 or more in 2013 are included in this release and
will be included in future 2014 releases. Five counties have been added to the publication tables:
Shelby, Ala.; Osceola, Fla.; Black Hawk, Iowa; Washington, Minn.; and Cleveland, Okla.
-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 2014 are preliminary and subject to revision.
For purposes of this release, large counties are defined as having
employment levels of 75,000 or greater. In addition, data for San
Juan, Puerto Rico, are provided, but not used in calculating U.S. averages, rankings, or in the analysis in the text. Each year, these large
counties are selected on the basis of the preliminary annual average
of employment for the previous year. The 340 counties presented in
this release were derived using 2013 preliminary annual averages of
employment. For 2014 data, five counties have been added to the
publication tables: Shelby, Ala.; Osceola, Fla.; Black Hawk, Iowa;
Washington, Minn.; and Cleveland, Okla. These counties will be included in all 2014 quarterly releases. The counties in table 2 are selected and sorted each year based on the annual average employment
from the preceding year.
Summary of Major Differences between QCEW, BED, and CES Employment Measures
QCEW
BED
CES
Source
 Count of UI administrative records
submitted by 9.4 million establishments in first quarter of 2014
 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 9.2 million employer
reports of employment and wages submitted by states to the BLS in
2013. These reports are based on place of employment rather than
place of residence.
UI and UCFE coverage is broad and has been basically comparable
from state to state since 1978, when the 1976 amendments to the Federal Unemployment Tax Act became effective, expanding coverage to
include most State and local government employees. In 2013, UI and
UCFE programs covered workers in 134.0 million jobs. The estimated
128.7 million workers in these jobs (after adjustment for multiple jobholders) represented 95.8 percent of civilian wage and salary employment. Covered workers received $6.673 trillion in pay, representing
93.7 percent of the wage and salary component of personal income
and 39.8 percent of the gross domestic product.
Major exclusions from UI coverage include self-employed workers, most agricultural workers on small farms, all members of the
Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and
employees of certain small nonprofit organizations.
State and federal UI laws change periodically. These changes may
have an impact on the employment and wages reported by employers
covered under the UI program. Coverage changes may affect the 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 2013 quarterly data as the base data. The adjusted
prior-year levels used to calculate the over-the-year percent change in
employment and wages are not published. These adjusted prior-year
levels do not match the unadjusted data maintained on the BLS Web
site. Over-the-year change calculations based on data from the Web
site, or from data published in prior BLS news releases, may differ
substantially from the over-the-year changes presented in this news
release.
The adjusted data used to calculate the over-the-year change
measures presented in this release account for most of the administrative changes—those occurring when employers update the industry,
location, and ownership information of their establishments. The most
common adjustments for administrative change are the result of updated information about the county location of individual establishments. Included in these adjustments are administrative changes involving the classification of establishments that were previously reported in the unknown or statewide county or unknown industry categories. Beginning with the first quarter of 2008, adjusted data account
for administrative changes caused by multi-unit employers who start
reporting for each individual establishment rather than as a single entity. Beginning with the second quarter of 2011, adjusted data account
for selected large administrative changes in employment and wages.
These new adjustments allow QCEW to include county employment
and wage growth rates in this news release that would otherwise not
meet publication standards.
The adjusted data used to calculate the over-the-year change
measures presented in any County Employment and Wages news release are valid for comparisons between the starting and ending points
(a 12-month period) used in that particular release. Comparisons may
not be valid for any time period other than the one featured in a release
even if the changes were calculated using adjusted data.
County definitions are assigned according to Federal Information
Processing Standards Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after approval by the
Secretary of Commerce pursuant to Section 5131 of the Information
Technology Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. Areas shown as counties include those designated as independent cities in some jurisdictions and,
in Alaska, those designated as census areas where counties have not
been created. County data also are presented for the New England
states for comparative purposes even though townships are the more
common designation used in New England (and New Jersey). The regions referred to in this release are defined as census regions.
Additional statistics and other information
Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2012 edition of this
publication, which was published in September 2013, contains selected data produced by Business Employment Dynamics (BED) on
job gains and losses, as well as selected data from the first quarter
2013 version of this news release. Tables and additional content from
Employment and Wages Annual Averages 2012 are now available
online at http://www.bls.gov/cew/cewbultn12.htm. The 2013 edition
of Employment and Wages Annual Averages Online will be available
in September 2014.
News releases on quarterly measures of gross job flows also are
available upon request from the Division of Administrative Statistics
and Labor Turnover (Business Employment Dynamics), telephone
(202)
691-6467;
(http://www.bls.gov/bdm/);
(e-mail:
[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 340 largest counties,
first quarter 2014
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
United States⁴..............................
9,358.3
134,555.0
1.7
-
$1,027
3.8
-
Jefferson, AL................................
Madison, AL.................................
Mobile, AL....................................
Montgomery, AL...........................
Shelby, AL....................................
Tuscaloosa, AL.............................
Anchorage Borough, AK...............
Maricopa, AZ................................
Pima, AZ.......................................
Benton, AR...................................
17.7
9.1
9.6
6.4
5.0
4.3
8.3
92.9
18.6
5.7
336.3
180.3
164.8
128.0
77.5
87.2
150.6
1,749.9
353.0
103.1
0.1
-0.1
0.8
-0.6
1.9
1.9
0.3
2.3
0.0
4.6
280
290
218
312
128
128
265
102
282
13
997
1,049
819
785
963
800
1,070
977
821
1,298
1.3
1.7
0.9
0.6
4.9
0.3
3.0
3.3
1.5
-3.2
268
241
292
303
41
314
136
117
252
339
Pulaski, AR...................................
Washington, AR...........................
Alameda, CA................................
Contra Costa, CA.........................
Fresno, CA...................................
Kern, CA.......................................
Los Angeles, CA...........................
Marin, CA.....................................
Monterey, CA...............................
Orange, CA..................................
14.4
5.7
57.0
29.7
31.0
17.3
441.9
11.9
12.9
106.5
242.1
95.0
690.3
335.9
345.0
292.2
4,125.8
109.0
162.5
1,459.9
0.0
1.8
2.5
2.7
2.9
2.4
2.0
2.4
3.2
2.5
282
137
88
80
72
97
118
97
55
88
881
782
1,298
1,268
755
856
1,096
1,195
837
1,121
3.2
3.0
4.3
1.5
2.6
1.2
3.8
4.8
0.6
2.7
124
136
59
252
167
275
84
44
303
159
Placer, CA....................................
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.......................
11.2
52.9
52.3
51.3
99.6
57.2
16.8
9.7
25.5
14.6
140.0
619.5
607.1
646.0
1,321.0
629.7
211.7
109.7
365.7
189.0
2.9
4.0
1.6
3.7
2.1
3.9
2.0
2.9
4.6
3.3
72
27
148
39
114
31
118
72
13
50
952
785
1,083
798
1,131
1,944
803
788
2,058
915
2.1
2.1
3.0
1.1
6.8
9.3
2.6
0.3
9.6
2.1
207
207
136
279
13
5
167
314
3
207
Santa Clara, CA...........................
Santa Cruz, CA............................
Solano, CA...................................
Sonoma, CA.................................
Stanislaus, CA..............................
Tulare, CA....................................
Ventura, CA..................................
Yolo, CA.......................................
Adams, CO...................................
Arapahoe, CO..............................
65.3
9.1
10.2
19.0
14.4
9.2
24.7
6.0
9.1
19.3
960.4
93.5
125.2
188.8
168.5
144.0
317.3
90.6
176.9
298.9
4.0
3.2
1.5
4.8
2.1
2.0
1.7
1.4
4.7
2.6
27
55
153
9
114
118
140
162
11
83
2,074
871
1,038
871
802
687
1,072
1,014
915
1,250
7.1
0.5
2.1
0.9
1.4
6.3
4.4
4.0
2.6
4.8
11
310
207
292
261
17
56
73
167
44
Boulder, CO..................................
Denver, CO..................................
Douglas, CO.................................
El Paso, CO..................................
Jefferson, CO...............................
Larimer, CO..................................
Weld, CO......................................
Fairfield, CT.................................
Hartford, CT..................................
New Haven, CT............................
13.3
27.0
10.0
16.8
17.8
10.3
6.0
33.6
26.2
22.9
165.9
449.9
103.9
242.9
216.4
137.0
94.7
410.5
493.6
354.9
2.6
3.9
4.2
1.4
2.0
2.7
7.5
0.6
0.7
0.6
83
31
22
162
118
80
1
238
224
238
1,161
1,329
1,143
876
993
860
868
1,922
1,383
1,026
3.8
4.8
3.6
2.3
4.9
4.2
5.6
2.3
5.2
1.3
84
44
105
187
41
69
23
187
35
268
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
New London, CT..........................
New Castle, DE............................
Washington, DC...........................
Alachua, FL..................................
Brevard, FL...................................
Broward, FL..................................
Collier, FL.....................................
Duval, FL.....................................
Escambia, FL...............................
Hillsborough, FL...........................
7.0
17.7
35.6
6.7
14.7
65.6
12.5
27.7
8.1
39.3
119.6
272.7
727.3
119.2
189.2
736.8
133.5
453.7
123.1
620.7
-1.2
1.9
1.2
1.0
0.7
2.8
4.9
1.6
0.8
2.9
324
128
177
195
224
78
8
148
218
72
$1,022
1,285
1,701
785
856
911
828
977
739
950
4.7
4.3
5.3
1.9
0.9
3.4
0.2
1.3
2.5
2.8
47
59
31
224
292
111
319
268
174
149
Lake, FL.......................................
Lee, FL.........................................
Leon, FL.......................................
Manatee, FL.................................
Marion, FL....................................
Miami-Dade, FL............................
Okaloosa, FL................................
Orange, FL...................................
Osceola, FL..................................
Palm Beach, FL............................
7.6
19.8
8.3
9.9
8.0
93.4
6.2
38.1
5.9
51.7
85.8
228.1
140.8
111.5
93.6
1,043.4
78.4
728.9
80.2
545.2
3.0
6.3
2.5
3.4
1.6
2.6
0.9
3.3
4.1
3.5
64
3
88
47
148
83
207
50
25
44
639
749
763
706
657
948
785
873
683
1,010
1.9
1.2
2.0
0.4
1.1
4.4
0.6
2.8
1.3
7.8
224
275
215
311
279
56
303
149
268
8
Pasco, FL.....................................
Pinellas, FL...................................
Polk, FL........................................
Sarasota, FL................................
Seminole, FL................................
Volusia, FL...................................
Bibb, GA.......................................
Chatham, GA................................
Clayton, GA..................................
Cobb, GA......................................
10.2
31.4
12.6
14.9
14.1
13.5
4.6
8.2
4.3
22.4
103.9
396.6
200.4
153.5
165.1
157.6
81.3
137.1
111.1
322.8
2.6
1.3
2.0
5.8
3.1
2.5
2.9
1.2
1.7
4.6
83
170
118
4
58
88
72
177
140
13
657
843
727
790
811
685
772
833
962
1,101
3.0
1.7
3.0
3.7
2.5
3.8
3.5
2.8
4.3
1.1
136
241
136
98
174
84
108
149
59
279
De Kalb, GA.................................
Fulton, GA....................................
Gwinnett, GA................................
Muscogee, GA..............................
Richmond, GA..............................
Honolulu, HI..................................
Ada, ID.........................................
Champaign, IL..............................
Cook, IL........................................
Du Page, IL..................................
18.6
43.7
24.9
4.7
4.7
24.9
13.8
4.5
156.3
38.6
282.3
749.8
319.4
94.6
102.0
457.2
208.8
87.6
2,413.6
588.6
3.8
2.3
3.5
1.0
1.4
1.1
3.9
-0.3
1.0
0.9
37
102
44
195
162
184
31
297
195
207
1,056
1,500
988
800
801
893
857
837
1,248
1,183
4.0
5.4
3.2
1.9
1.4
1.8
5.9
1.6
5.0
2.7
73
27
124
224
261
230
21
248
39
159
Kane, IL........................................
Lake, IL........................................
McHenry, IL..................................
McLean, IL....................................
Madison, IL...................................
Peoria, IL......................................
St. Clair, IL....................................
Sangamon, IL...............................
Will, IL..........................................
Winnebago, IL..............................
13.9
23.0
8.9
3.9
6.1
4.8
5.7
5.4
16.1
6.9
198.6
317.8
93.0
83.3
93.9
98.6
90.1
125.5
209.7
122.7
1.7
-0.4
2.6
-1.7
-0.3
-2.6
-2.3
0.6
2.3
-0.9
140
303
83
334
297
339
338
238
102
317
841
1,484
807
1,041
801
963
762
993
867
834
2.6
6.2
3.2
-1.0
2.3
-0.9
1.5
3.2
4.2
3.1
167
18
124
335
187
333
252
124
69
132
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
Allen, IN........................................
Elkhart, IN.....................................
Hamilton, IN..................................
Lake, IN........................................
Marion, IN.....................................
St. Joseph, IN...............................
Tippecanoe, IN.............................
Vanderburgh, IN...........................
Black Hawk, IA..........................
Johnson, IA..................................
8.8
4.7
8.7
10.3
23.8
5.9
3.3
4.8
3.7
3.9
174.3
118.1
121.9
183.1
568.0
115.8
79.3
104.0
74.7
79.8
1.1
4.0
4.2
-1.9
1.0
1.0
0.7
-0.4
0.4
1.5
184
27
22
336
195
195
224
303
260
153
$825
809
1,022
863
1,052
777
828
804
826
876
2.0
7.2
3.7
-0.7
0.0
1.0
1.5
3.3
1.1
3.7
215
10
98
331
324
288
252
117
279
98
Linn, IA.........................................
Polk, IA........................................
Scott, IA........................................
Johnson, KS.................................
Sedgwick, KS...............................
Shawnee, KS................................
Wyandotte, KS.............................
Boone, KY...................................
Fayette, KY...................................
Jefferson, KY................................
6.5
16.1
5.5
21.1
12.3
4.7
3.2
4.1
10.3
24.3
126.0
279.8
87.6
319.8
242.7
96.0
85.1
77.1
180.0
431.6
0.6
3.0
0.5
2.4
0.9
2.3
5.5
1.5
1.3
1.0
238
64
253
97
207
102
5
153
170
195
958
1,044
780
1,072
909
818
938
822
869
994
3.8
2.7
1.6
5.3
5.1
1.1
5.2
1.2
2.8
3.8
84
159
248
31
38
279
35
275
149
84
Caddo, LA....................................
Calcasieu, LA...............................
East Baton Rouge, LA..................
Jefferson, LA................................
Lafayette, LA................................
Orleans, LA..................................
St. Tammany, LA..........................
Cumberland, ME..........................
Anne Arundel, MD........................
Baltimore, MD...............................
7.4
5.0
14.9
13.8
9.3
11.5
7.7
12.6
14.6
21.2
114.3
87.2
265.7
191.2
140.0
187.2
82.0
167.6
250.4
361.0
-1.6
0.3
1.2
0.3
0.9
3.6
3.0
0.9
0.7
-0.1
331
265
177
265
207
42
64
207
224
290
779
856
915
875
954
980
841
912
1,061
985
2.4
2.0
1.1
2.1
4.3
1.8
1.0
1.7
-0.4
0.6
182
215
279
207
59
230
288
241
329
303
Frederick, MD...............................
Harford, MD..................................
Howard, MD.................................
Montgomery, MD..........................
Prince Georges, MD.....................
Baltimore City, MD.......................
Barnstable, MA.............................
Bristol, MA....................................
Essex, MA....................................
Hampden, MA..............................
6.3
5.6
9.5
33.0
15.6
13.8
9.0
16.3
22.2
16.2
94.0
86.4
156.3
450.7
298.9
327.0
82.6
214.4
305.7
196.7
-0.6
-0.9
-0.2
0.6
-0.4
-0.5
0.8
1.6
1.7
0.6
312
317
293
238
303
307
218
148
140
238
964
910
1,220
1,364
1,007
1,192
830
874
1,044
923
1.9
-0.3
2.3
3.6
2.1
1.7
1.6
2.6
1.9
2.8
224
327
187
105
207
241
248
167
224
149
Middlesex, MA..............................
Norfolk, MA...................................
Plymouth, MA...............................
Suffolk, MA...................................
Worcester, MA..............................
Genesee, MI.................................
Ingham, MI...................................
Kalamazoo, MI.............................
Kent, MI.......................................
Macomb, MI..................................
50.1
23.6
14.2
24.7
22.1
7.1
6.2
5.2
13.9
17.2
835.2
328.2
176.7
611.6
321.6
131.2
148.4
111.0
353.9
301.7
1.0
1.3
1.1
2.2
1.0
-0.3
-0.3
0.6
3.7
1.1
195
170
184
110
195
297
297
238
39
184
1,553
1,159
894
1,852
976
804
961
917
862
995
6.2
1.8
2.2
8.8
2.7
4.3
1.4
2.0
3.1
2.3
18
230
199
6
159
59
261
215
132
187
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
Oakland, MI..................................
Ottawa, MI....................................
Saginaw, MI..................................
Washtenaw, MI.............................
Wayne, MI....................................
Anoka, MN....................................
Dakota, MN..................................
Hennepin, MN..............................
Olmsted, MN................................
Ramsey, MN.................................
38.1
5.5
4.1
8.2
30.7
6.8
9.4
41.7
3.3
13.1
677.8
111.6
81.6
196.8
684.1
113.9
174.4
849.5
90.3
317.3
1.1
3.1
-0.7
0.5
0.4
2.0
1.2
1.0
-1.4
0.5
184
58
315
253
260
118
177
195
328
253
$1,107
782
814
996
1,121
887
997
1,325
1,031
1,192
2.9
2.8
4.5
1.3
6.4
2.1
4.3
3.8
2.7
1.8
143
149
53
268
16
207
59
84
159
230
St. Louis, MN................................
Stearns, MN.................................
Washington, MN...........................
Harrison, MS................................
Hinds, MS.....................................
Boone, MO...................................
Clay, MO......................................
Greene, MO..................................
Jackson, MO................................
St. Charles, MO............................
5.3
4.2
5.2
4.5
6.0
4.6
5.2
8.1
19.4
8.5
93.9
80.3
73.7
81.9
119.6
88.8
91.0
156.1
345.6
130.5
0.0
0.2
0.9
-0.2
-0.2
1.8
3.6
1.9
0.3
2.1
282
275
207
293
293
137
42
128
265
114
813
761
841
708
840
745
880
738
992
828
3.3
1.7
3.8
0.7
2.9
0.8
3.4
3.7
0.8
4.3
117
241
84
301
143
296
111
98
296
59
St. Louis, MO................................
St. Louis City, MO........................
Yellowstone, MT...........................
Douglas, NE.................................
Lancaster, NE...............................
Clark, NV.....................................
Washoe, NV.................................
Hillsborough, NH..........................
Rockingham, NH..........................
Atlantic, NJ...................................
33.4
10.5
6.3
18.3
9.9
51.2
13.9
12.0
10.5
6.6
571.5
217.4
76.9
323.1
160.6
861.4
190.1
190.2
134.9
125.8
1.2
-1.3
0.5
2.3
1.9
3.9
3.3
1.0
1.3
-2.1
177
325
253
102
128
31
50
195
170
337
1,066
1,170
813
933
779
856
856
1,086
944
808
3.3
4.3
3.7
2.2
2.5
3.0
2.8
4.4
2.8
1.5
117
59
98
199
174
136
149
56
149
252
Bergen, NJ...................................
Burlington, NJ...............................
Camden, NJ.................................
Essex, NJ....................................
Gloucester, NJ..............................
Hudson, NJ...................................
Mercer, NJ....................................
Middlesex, NJ..............................
Monmouth, NJ..............................
Morris, NJ.....................................
32.9
11.0
11.9
20.4
6.1
14.2
11.0
21.9
20.1
17.1
431.3
193.8
191.8
330.0
97.5
234.6
233.5
388.4
240.8
275.6
1.5
-1.4
0.2
-1.3
1.6
0.5
1.4
0.6
1.1
0.7
153
328
275
325
148
253
162
238
184
224
1,222
1,017
937
1,343
839
1,569
1,490
1,307
1,003
1,646
2.4
0.4
0.6
1.1
1.8
2.5
0.7
3.7
1.5
4.3
182
311
303
279
230
174
301
98
252
59
Ocean, NJ....................................
Passaic, NJ..................................
Somerset, NJ...............................
Union, NJ.....................................
Bernalillo, NM...............................
Albany, NY...................................
Bronx, NY.....................................
Broome, NY..................................
Dutchess, NY...............................
Erie, NY........................................
12.6
12.3
10.1
14.3
17.9
10.2
17.5
4.6
8.4
24.4
151.1
165.0
175.3
218.5
310.0
222.2
249.2
86.4
107.5
449.9
3.1
-1.1
0.8
-0.9
0.8
0.1
1.9
-1.1
0.0
0.2
58
322
218
317
218
280
128
322
282
275
779
968
2,048
1,263
836
1,008
881
750
946
875
-1.3
0.3
-0.3
1.5
1.1
2.9
2.2
2.3
-1.6
2.3
336
314
327
252
279
143
199
187
337
187
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
Kings, NY.....................................
Monroe, NY..................................
Nassau, NY..................................
New York, NY...............................
Oneida, NY...................................
Onondaga, NY..............................
Orange, NY..................................
Queens, NY..................................
Richmond, NY..............................
Rockland, NY...............................
56.4
18.5
53.2
125.9
5.3
13.0
10.1
49.1
9.4
10.1
556.1
372.8
595.9
2,453.1
101.0
238.4
133.8
539.3
97.4
113.6
4.6
0.7
1.7
2.5
-0.3
-0.2
0.3
2.5
3.1
2.9
13
224
140
88
297
293
265
88
58
72
$760
919
1,091
2,749
751
911
798
911
802
1,054
0.8
1.5
1.8
12.0
0.3
3.5
0.4
1.3
1.8
0.2
296
252
230
2
314
108
311
268
230
319
Saratoga, NY................................
Suffolk, NY...................................
Westchester, NY..........................
Buncombe, NC.............................
Catawba, NC................................
Cumberland, NC...........................
Durham, NC.................................
Forsyth, NC..................................
Guilford, NC..................................
Mecklenburg, NC..........................
5.8
51.7
36.2
8.2
4.2
6.2
7.5
9.0
14.1
33.4
78.5
618.4
402.6
117.3
81.2
117.5
185.7
175.8
267.9
600.1
1.1
0.3
0.3
1.9
1.7
-1.0
1.3
1.0
0.9
3.1
184
265
265
128
140
320
170
195
207
58
865
1,029
1,430
727
720
732
1,373
1,029
883
1,382
0.6
-0.4
5.4
1.4
1.7
-2.0
3.9
9.6
1.7
5.2
303
329
27
261
241
338
79
3
241
35
New Hanover, NC........................
Wake, NC.....................................
Cass, ND......................................
Butler, OH.....................................
Cuyahoga, OH..............................
Delaware, OH...............................
Franklin, OH.................................
Hamilton, OH................................
Lake, OH......................................
Lorain, OH....................................
7.4
30.2
6.5
7.5
35.4
4.6
29.8
23.1
6.3
6.0
100.0
479.6
110.6
140.1
696.5
79.6
686.6
489.7
92.2
93.4
2.2
3.5
3.0
2.4
0.0
0.4
1.9
1.2
-0.3
0.6
110
44
64
97
282
260
128
177
297
238
775
1,013
869
872
1,054
1,123
1,024
1,116
824
807
1.6
2.3
3.8
2.7
4.0
4.0
4.1
0.8
0.2
1.9
248
187
84
159
73
73
72
296
319
224
Lucas, OH....................................
Mahoning, OH..............................
Montgomery, OH..........................
Stark, OH.....................................
Summit, OH.................................
Warren, OH.................................
Cleveland, OK..............................
Oklahoma, OK..............................
Tulsa, OK.....................................
Clackamas, OR............................
10.0
5.9
11.9
8.7
14.0
4.4
5.2
26.0
21.3
13.1
201.2
95.9
241.8
155.1
255.4
80.1
78.7
436.4
337.1
143.1
1.4
0.4
0.9
0.9
1.5
4.1
2.3
0.7
0.7
1.4
162
260
207
207
153
25
102
224
224
162
867
686
854
751
926
862
693
971
976
875
2.0
2.5
2.2
2.2
3.8
2.7
1.8
3.9
4.7
3.1
215
174
199
199
84
159
230
79
47
132
Jackson, OR................................
Lane, OR......................................
Marion, OR...................................
Multnomah, OR............................
Washington, OR...........................
Allegheny, PA...............................
Berks, PA.....................................
Bucks, PA.....................................
Butler, PA.....................................
Chester, PA..................................
6.7
11.0
9.6
30.8
17.1
35.0
8.9
19.6
5.0
15.1
77.7
140.5
135.1
458.5
260.6
674.5
164.7
246.1
83.4
238.3
2.0
2.5
3.4
3.3
3.7
-0.6
0.6
0.6
0.6
0.8
118
88
47
50
39
312
238
238
238
218
733
740
757
1,009
1,213
1,130
867
921
905
1,415
5.0
3.2
2.3
2.2
4.6
4.5
4.0
1.8
1.0
13.9
39
124
187
199
52
53
73
230
288
1
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
Cumberland, PA...........................
Dauphin, PA................................
Delaware, PA...............................
Erie, PA........................................
Lackawanna, PA..........................
Lancaster, PA...............................
Lehigh, PA....................................
Luzerne, PA..................................
Montgomery, PA...........................
Northampton, PA..........................
6.1
7.3
13.7
7.1
5.9
12.8
8.6
7.5
27.1
6.6
124.5
173.2
214.1
121.4
96.3
221.6
176.2
138.6
465.9
104.4
0.5
-0.1
1.2
-0.5
-0.5
1.8
0.7
0.0
0.3
1.1
253
290
177
307
307
137
224
282
265
184
$921
1,038
1,121
759
744
803
979
773
1,346
874
3.3
4.5
5.5
0.1
3.5
2.0
3.4
3.8
4.2
3.8
117
53
25
323
108
215
111
84
69
84
Philadelphia, PA...........................
Washington, PA............................
Westmoreland, PA.......................
York, PA.......................................
Providence, RI..............................
Charleston, SC.............................
Greenville, SC..............................
Horry, SC.....................................
Lexington, SC...............................
Richland, SC................................
34.6
5.3
9.3
8.9
17.4
12.4
12.8
7.9
5.9
9.1
634.3
84.9
129.6
170.4
272.0
222.1
244.0
110.1
104.4
206.6
0.3
0.7
-0.7
0.3
1.5
2.8
4.4
2.5
4.4
2.1
265
224
315
265
153
78
17
88
17
114
1,187
1,067
772
845
1,057
863
855
571
717
845
2.9
7.3
1.8
1.1
5.6
2.9
2.6
1.4
-0.1
2.2
143
9
230
279
23
143
167
261
325
199
Spartanburg, SC...........................
York, SC.......................................
Minnehaha, SD.............................
Davidson, TN................................
Hamilton, TN................................
Knox, TN......................................
Rutherford, TN..............................
Shelby, TN....................................
Williamson, TN.............................
Bell, TX.........................................
5.9
4.8
6.7
19.4
8.7
11.2
4.7
19.4
7.0
5.0
122.2
81.0
118.7
448.5
184.1
220.6
110.6
470.1
105.1
110.6
2.5
6.4
2.3
3.0
0.2
1.0
3.9
-0.4
4.0
0.9
88
2
102
64
275
195
31
303
27
207
818
785
852
1,041
863
837
837
1,017
1,189
821
3.3
2.5
5.4
3.3
2.3
0.8
2.3
3.9
-0.9
4.3
117
174
27
117
187
296
187
79
333
59
Bexar, TX.....................................
Brazoria, TX.................................
Brazos, TX....................................
Cameron, TX................................
Collin, TX......................................
Dallas, TX.....................................
Denton, TX..................................
El Paso, TX..................................
Fort Bend, TX...............................
Galveston, TX...............................
36.7
5.2
4.2
6.4
20.9
70.8
12.3
14.3
10.9
5.7
784.5
97.4
95.1
133.9
337.0
1,515.6
200.2
283.7
159.5
101.2
2.3
1.7
3.9
1.9
4.3
3.1
4.2
1.1
4.8
3.0
102
140
31
128
19
58
22
184
9
64
917
1,032
711
581
1,213
1,281
895
690
1,034
905
3.0
6.6
2.3
1.4
2.5
5.4
2.4
3.9
4.0
2.1
136
15
187
261
174
27
182
79
73
207
Gregg, TX.....................................
Harris, TX.....................................
Hidalgo, TX...................................
Jefferson, TX................................
Lubbock, TX.................................
McLennan, TX..............................
Midland, TX..................................
Montgomery, TX...........................
Nueces, TX..................................
Potter, TX.....................................
4.2
107.5
11.8
5.8
7.2
4.9
5.2
9.8
8.1
3.9
76.9
2,226.8
238.5
120.7
130.0
101.9
88.0
154.8
161.8
77.4
-1.6
3.0
1.4
-0.5
2.0
0.0
5.4
5.2
1.5
1.3
331
64
162
307
118
282
6
7
153
170
879
1,399
597
1,016
750
781
1,322
1,022
867
775
3.8
4.7
2.9
3.6
4.7
2.2
8.5
2.5
3.8
2.8
84
47
143
105
47
199
7
174
84
149
See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,
first quarter 2014 - Continued
Average weekly wage ²
Employment
County¹
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14³
Ranking by
percent
change
First
quarter
2014
Percent
change,
first quarter
2013-14³
Ranking by
percent
change
Smith, TX.....................................
Tarrant, TX...................................
Travis, TX.....................................
Webb, TX.....................................
Williamson, TX.............................
Davis, UT.....................................
Salt Lake, UT................................
Utah, UT.......................................
Weber, UT....................................
Chittenden, VT.............................
5.9
39.6
34.6
5.0
8.7
7.6
39.6
13.6
5.6
6.3
95.3
814.0
646.6
93.5
143.5
110.7
614.6
189.6
94.3
97.0
0.7
2.0
4.3
2.2
4.3
3.4
2.7
4.7
1.4
0.6
224
118
19
110
19
47
80
11
162
238
$799
1,010
1,100
650
1,127
778
947
771
721
937
3.8
5.5
3.4
3.2
6.7
1.0
3.4
5.9
4.9
0.2
84
25
111
124
14
288
111
21
41
319
Arlington, VA................................
Chesterfield, VA...........................
Fairfax, VA....................................
Henrico, VA..................................
Loudoun, VA................................
Prince William, VA........................
Alexandria City, VA......................
Chesapeake City, VA...................
Newport News City, VA................
Norfolk City, VA...........................
8.8
8.1
35.3
10.4
10.5
8.2
6.3
5.7
3.7
5.6
163.1
121.8
576.4
178.5
145.9
116.3
93.8
95.1
97.9
134.2
-1.8
2.0
-1.5
0.9
1.5
0.6
-1.6
0.2
1.1
-0.5
335
118
330
207
153
238
331
275
184
307
1,669
866
1,580
1,110
1,244
832
1,368
758
989
969
3.2
1.3
1.2
6.2
3.9
-0.1
5.3
-0.7
2.8
3.7
124
268
275
18
79
325
31
331
149
98
Richmond City, VA.......................
Virginia Beach City, VA................
Benton, WA..................................
Clark, WA.....................................
King, WA......................................
Kitsap, WA....................................
Pierce, WA...................................
Snohomish, WA............................
Spokane, WA...............................
Thurston, WA...............................
7.1
11.3
6.1
14.9
88.8
7.1
23.5
21.1
16.8
8.1
147.4
167.2
77.0
136.0
1,214.7
80.9
273.0
264.2
202.1
101.9
0.7
0.5
0.7
3.8
3.3
2.2
3.0
1.7
1.3
3.2
224
253
224
37
50
110
64
140
170
55
1,147
769
959
887
1,353
888
867
1,161
822
861
3.2
1.5
0.6
2.4
4.7
1.4
0.3
6.9
0.9
1.8
124
252
303
182
47
261
314
12
292
230
Whatcom, WA..............................
Yakima, WA.................................
Kanawha, WV...............................
Brown, WI.....................................
Dane, WI......................................
Milwaukee, WI..............................
Outagamie, WI.............................
Waukesha, WI..............................
Winnebago, WI.............................
San Juan, PR...............................
7.4
9.2
5.9
6.5
14.1
24.5
5.0
12.3
3.6
11.2
82.1
99.2
102.6
146.2
308.1
471.3
101.0
226.5
88.2
256.0
1.5
2.4
-1.3
0.6
1.1
0.0
0.4
0.7
-1.0
-1.2
153
97
325
238
184
282
260
224
320
(⁵)
801
653
845
881
970
992
827
992
928
621
3.1
2.0
2.7
5.3
3.4
2.0
2.6
2.0
2.4
0.8
132
215
159
31
111
215
167
215
182
(⁵)
¹ Includes areas not officially designated as counties. See Technical Note.
² Average weekly wages were calculated using unrounded data.
³ Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical
Note.
⁴ Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
⁵ This county was not included in the U.S. rankings.
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees
(UCFE) programs. These 339 U.S. counties comprise 72.0 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
first quarter 2014
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14²
First
quarter
2014
Percent
change,
first quarter
2013-14²
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..................................................................
9,358.3
9,064.0
135.2
748.0
338.0
1,910.1
148.7
829.1
1,661.8
1,489.9
789.7
805.0
294.2
134,555.0
113,150.6
1,920.1
5,721.2
12,033.7
25,564.3
2,710.2
7,588.3
18,631.2
20,451.4
14,134.7
4,172.3
21,404.4
1.7
2.1
2.5
4.2
0.9
2.1
0.6
0.7
2.4
1.3
3.0
1.7
-0.2
$1,027
1,035
1,249
1,002
1,266
842
1,905
2,115
1,346
852
388
641
983
3.8
4.1
6.4
2.6
3.4
3.1
7.1
10.0
4.2
1.9
1.8
3.2
2.5
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..................................................................
441.9
436.2
0.5
12.8
12.5
52.9
9.1
23.6
46.0
204.7
29.6
26.5
5.7
4,125.8
3,587.4
10.4
117.3
363.2
775.4
198.4
206.9
597.8
708.1
450.5
144.2
538.3
2.0
2.2
1.1
2.5
-0.8
2.0
1.7
-0.7
2.6
1.1
5.6
3.1
0.2
1,096
1,073
1,730
1,065
1,215
880
2,084
2,143
1,350
795
551
646
1,253
3.8
4.0
8.3
1.3
0.1
3.0
10.3
12.4
3.0
3.2
2.4
2.4
3.0
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..................................................................
125.9
125.6
0.0
2.2
2.3
20.7
4.6
19.1
26.5
9.6
13.5
19.7
0.3
2,453.1
2,020.4
0.2
33.1
25.1
255.9
145.9
354.2
509.7
324.1
269.8
96.0
432.7
2.5
2.9
9.5
-0.4
-1.6
1.3
1.8
1.7
3.1
3.3
5.1
2.3
0.4
2,749
3,092
3,901
1,702
1,736
1,339
3,207
9,261
2,603
1,206
809
1,086
1,147
12.0
12.5
61.5
2.0
16.0
3.6
9.0
21.0
6.4
1.8
2.5
4.3
2.6
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..................................................................
156.3
155.0
0.1
12.8
6.7
30.8
2.8
16.1
33.3
16.4
14.0
17.5
1.3
2,413.6
2,120.7
0.7
58.8
185.7
442.4
53.0
181.7
433.7
421.6
242.6
95.9
292.9
1.0
1.4
4.9
3.9
-0.8
1.3
-1.0
-0.2
2.6
1.1
2.0
1.7
-1.7
1,248
1,258
855
1,323
1,224
937
2,027
3,270
1,539
878
453
964
1,176
5.0
5.4
2.0
2.3
4.9
4.1
2.9
16.9
1.2
0.3
1.6
17.7
1.4
See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
first quarter 2014 - Continued
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14²
First
quarter
2014
Percent
change,
first quarter
2013-14²
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..................................................................
107.5
107.0
1.8
6.7
4.7
24.2
1.2
11.0
21.6
14.8
9.0
11.6
0.5
2,226.8
1,962.6
92.9
150.4
193.8
458.1
28.4
117.2
385.2
265.0
207.8
62.8
264.2
3.0
3.0
6.0
4.1
2.3
3.1
0.8
2.7
1.5
2.2
5.4
2.9
2.6
$1,399
1,447
4,113
1,314
1,648
1,291
1,485
2,122
1,729
955
413
769
1,042
4.7
4.9
7.0
4.5
3.1
3.5
2.3
7.7
6.4
2.5
0.5
6.7
2.6
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..................................................................
92.9
92.2
0.5
7.3
3.2
20.3
1.5
11.0
22.0
10.8
7.4
6.4
0.7
1,749.9
1,539.9
8.3
91.8
114.3
345.1
32.7
151.8
291.7
256.3
198.1
47.7
210.0
2.3
2.5
-0.1
3.4
0.7
2.9
3.2
3.5
1.5
1.3
4.1
2.2
0.4
977
987
1,194
980
1,502
894
1,450
1,514
1,058
903
440
670
900
3.3
3.5
1.1
4.6
2.4
2.4
12.7
4.6
5.4
1.2
2.1
5.8
1.2
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..................................................................
70.8
70.3
0.6
4.0
2.7
15.3
1.4
8.5
15.8
8.7
6.1
6.8
0.5
1,515.6
1,348.6
9.7
74.3
106.1
303.2
48.2
147.5
300.9
178.3
140.6
39.3
167.0
3.1
3.2
5.2
7.0
-3.3
4.7
2.1
1.9
3.8
2.5
4.5
2.1
2.4
1,281
1,307
4,429
1,104
1,606
1,085
2,369
2,124
1,402
1,063
482
731
1,068
5.4
5.6
12.7
6.5
3.4
4.9
1.2
10.1
6.1
5.7
4.1
2.2
2.8
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..................................................................
106.5
105.2
0.2
6.2
4.9
16.6
1.2
10.3
20.1
26.5
7.7
6.4
1.3
1,459.9
1,315.1
3.6
79.7
157.2
249.8
24.0
111.7
269.7
184.6
188.6
41.9
144.8
2.5
2.6
-2.5
6.6
-0.6
1.7
-2.3
0.0
3.8
2.3
3.9
3.0
1.6
1,121
1,100
670
1,166
1,426
983
1,810
1,839
1,336
861
438
636
1,317
2.7
2.9
5.3
5.9
4.3
1.2
4.3
4.7
4.6
-0.1
2.6
2.3
2.3
See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,
first quarter 2014 - Continued
Average weekly wage ¹
Employment
County by NAICS supersector
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14²
First
quarter
2014
Percent
change,
first quarter
2013-14²
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..................................................................
99.6
98.2
0.7
6.1
3.0
14.0
1.2
9.0
17.6
27.5
7.5
6.9
1.4
1,321.0
1,100.6
10.0
61.6
96.0
209.6
24.4
69.6
226.0
181.7
170.4
47.5
220.3
2.1
2.3
-2.7
4.7
0.6
1.6
-0.5
-2.1
2.0
1.8
4.3
5.9
0.9
$1,131
1,115
615
1,065
1,786
915
1,765
1,665
1,642
870
428
557
1,213
6.8
7.8
6.8
3.5
16.4
7.3
9.9
8.2
11.9
1.6
0.9
0.7
2.8
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..................................................................
88.8
88.2
0.4
5.9
2.3
15.0
1.9
6.5
15.7
25.2
6.8
8.6
0.5
1,214.7
1,054.3
2.4
53.4
104.9
225.4
83.7
64.7
200.1
160.1
119.3
40.2
160.4
3.3
3.6
-1.6
7.7
0.8
4.7
3.7
0.7
3.4
3.5
4.3
3.7
1.8
1,353
1,373
1,515
1,166
1,921
1,159
2,764
1,913
1,651
894
473
803
1,227
4.7
4.8
-4.7
0.1
10.5
4.1
9.5
2.8
4.2
0.7
4.2
1.9
4.2
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..................................................................
93.4
93.0
0.5
5.2
2.7
27.4
1.6
9.8
19.7
10.2
7.1
8.2
0.3
1,043.4
906.3
10.4
34.7
36.7
266.3
18.0
70.3
140.5
160.8
130.4
37.8
137.1
2.6
3.1
11.3
9.5
2.5
2.9
3.4
4.3
3.2
0.8
3.0
3.4
-0.8
948
933
478
897
913
865
1,571
1,787
1,103
904
525
573
1,047
4.4
4.7
-5.2
9.9
5.3
3.8
7.0
9.4
4.6
1.8
2.5
3.8
3.5
¹ Average weekly wages were calculated using unrounded data.
² Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical Note.
³ Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Counties selected are based on 2013 annual average employment. Includes workers covered by Unemployment Insurance
(UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
Table 3. Covered establishments, employment, and wages by state,
first quarter 2014
Average weekly wage ¹
Employment
State
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14
First
quarter
2014
Percent
change,
first quarter
2013-14
United States²..........................................
9,358.3
134,555.0
1.7
$1,027
3.8
Alabama....................................................
Alaska........................................................
Arizona......................................................
Arkansas...................................................
California...................................................
Colorado....................................................
Connecticut...............................................
Delaware...................................................
District of Columbia...................................
Florida.......................................................
117.5
22.0
145.8
87.2
1,377.6
177.4
113.5
29.1
35.6
633.6
1,849.5
319.1
2,540.8
1,152.6
15,572.9
2,370.1
1,627.2
412.5
727.3
7,752.4
0.6
0.3
1.9
0.3
2.8
3.1
0.5
2.0
1.2
2.9
825
1,023
918
784
1,165
1,046
1,362
1,110
1,701
868
1.6
3.5
3.1
2.5
4.5
4.2
3.3
3.9
5.3
3.0
Georgia......................................................
Hawaii........................................................
Idaho.........................................................
Illinois........................................................
Indiana.......................................................
Iowa...........................................................
Kansas......................................................
Kentucky....................................................
Louisiana...................................................
Maine.........................................................
280.1
39.0
54.0
411.8
159.6
98.8
84.8
120.0
129.5
48.8
3,974.8
624.9
631.5
5,651.2
2,842.5
1,485.4
1,343.0
1,784.1
1,909.8
565.9
2.6
1.2
3.3
0.9
1.2
1.5
1.7
1.1
1.2
0.7
972
857
722
1,104
845
824
840
811
868
786
3.4
1.9
3.9
4.2
1.7
3.0
4.1
2.7
2.6
1.9
Maryland....................................................
Massachusetts..........................................
Michigan....................................................
Minnesota..................................................
Mississippi.................................................
Missouri.....................................................
Montana....................................................
Nebraska...................................................
Nevada......................................................
New Hampshire.........................................
166.3
226.0
236.6
164.6
71.3
182.4
43.7
70.2
75.6
49.6
2,512.8
3,272.2
4,013.5
2,652.3
1,096.8
2,634.6
429.9
930.7
1,183.5
614.2
0.1
1.3
1.7
0.8
0.6
1.0
0.7
1.7
3.4
1.3
1,086
1,300
950
1,036
707
866
730
797
867
970
1.8
5.3
3.1
3.4
1.7
2.9
3.3
2.6
2.7
3.4
New Jersey...............................................
New Mexico...............................................
New York..................................................
North Carolina...........................................
North Dakota.............................................
Ohio...........................................................
Oklahoma..................................................
Oregon......................................................
Pennsylvania.............................................
Rhode Island.............................................
265.3
56.2
621.7
259.7
31.1
288.3
106.8
135.9
348.2
35.6
3,794.3
787.0
8,699.5
4,003.2
428.9
5,071.5
1,565.2
1,688.5
5,560.9
449.7
0.6
0.2
1.6
1.7
3.3
1.3
0.7
2.8
0.3
1.1
1,263
793
1,460
914
944
909
854
893
1,007
996
2.2
1.9
7.3
3.4
6.7
2.8
3.9
3.4
4.1
4.4
South Carolina..........................................
South Dakota............................................
Tennessee.................................................
Texas.........................................................
Utah...........................................................
Vermont.....................................................
Virginia......................................................
Washington...............................................
West Virginia.............................................
Wisconsin..................................................
118.7
31.7
145.0
616.5
88.7
24.4
242.4
251.8
49.6
163.2
1,873.6
400.2
2,718.2
11,220.6
1,270.8
301.1
3,613.2
2,966.3
694.6
2,694.5
2.7
1.4
1.7
2.6
3.1
0.5
0.0
2.6
-0.9
1.0
787
741
874
1,062
831
807
1,050
1,068
779
856
1.9
4.5
2.2
4.5
3.4
1.9
2.2
3.8
1.4
2.9
See footnotes at end of table.
Table 3. Covered establishments, employment, and wages by state,
first quarter 2014 - Continued
Average weekly wage ¹
Employment
State
Establishments,
first quarter
2014
(thousands)
March
2014
(thousands)
Percent
change,
March
2013-14
First
quarter
2014
Percent
change,
first quarter
2013-14
Wyoming...................................................
25.5
275.4
1.0
$877
2.1
Puerto Rico...............................................
Virgin Islands............................................
48.3
3.4
914.9
38.3
-1.8
-3.6
521
744
1.4
2.6
¹ Average weekly wages were calculated using unrounded data.
² Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for
Federal Employees (UCFE) programs.
Chart 3. Percent change in employment in counties with 75,000 or more employees,
March 2013-14 (U.S. average = 1.7 percent)
Largest Counties
Higher than U.S. average
U.S. average or lower
Source: Bureau of Labor Statistics
September 2014
Chart 4. Percent change in average weekly wage in counties with 75,000
or more employees, first quarter 2013-14 (U.S. average = 3.8 percent)
Largest Counties
Higher than U.S. average
U.S. average or lower
Source: Bureau of Labor Statistics
September 2014