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

Technical Information: (202) 691-6567 • QCEWInfo@bls.gov • www.bls.gov/cew 

Media Contact: (202) 691-5902 • PressOffice@bls.gov 

COUNTY EMPLOYMENT AND WAGES

First Quarter 2014 

From March 2013 to March 2014, employment increased in 281 of the 339 largest U.S. counties, the 

U.S. Bureau of Labor Statistics reported today. Weld, Colo., had the largest increase, with a gain of 7.5 

percent over the year, compared with national job growth of 1.7 percent. Within Weld, the largest 

employment increase occurred in natural resources and mining, which gained 2,145 jobs over the year 

(24.1 percent). Peoria, Ill., had the largest over-the-year decrease in employment among the largest 

counties in the U.S. with a loss of 2.6 percent. County employment and wage data are compiled under 

the Quarterly Census of Employment and Wages (QCEW) program, which produces detailed 

information on county employment and wages within 6 months after the end of each quarter. 

The U.S. average weekly wage increased 3.8 percent over the year, growing to $1,027 in the first 

quarter of 2014. Chester, Pa., had the largest over-the-year increase in average weekly wages with a gain 

of 13.9 percent. Within Chester, an average weekly wage gain of $520, or 49.1 percent, in trade, 

transportation, and utilities made the largest contribution to the county’s increase in average weekly 

wages. Benton, Ark., experienced the largest decrease in average weekly wages with a loss of 3.2 

percent over the year. 

Chart 1. Large counties ranked by percent increase in 

employment, March 2013-14 

(U.S. average = 1.7 percent) 

Chart 2. Large counties ranked by percent increase in 

average weekly wages, first quarter 2013-14 

(U.S. average = 3.8 percent) 

 

0

2

4

6

8

Weld,

Colo.

York,

S.C.

Lee,

Fla.

Sarasota,

Fla.

Wyandotte,

Kan.

Percent

0

2

4

6

8

10

12

14

16

Chester,

Pa.

New York,

N.Y.

San Mateo,

Calif.

Forsyth,

N.C.

San

Francisco,

Calif.

Percent
- 2 - 

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 Increase in employment, Percent increase in employment, 

(thousands) March 2013-14 March 2013-14 

 (thousands) 

 

United States 134,555.0 United States 2,254.3 United States 1.7

 

Los Angeles, Calif. 4,125.8 Los Angeles, Calif. 79.4 Weld, Colo. 7.5

New York, N.Y. 2,453.1 Harris, Texas 64.0 York, S.C. 6.4

Cook, Ill. 2,413.6 New York, N.Y. 58.7 Lee, Fla. 6.3

Harris, Texas 2,226.8 Dallas, Texas 45.4 Sarasota, Fla. 5.8

Maricopa, Ariz. 1,749.9 King, Wash. 39.1 Wyandotte, Kan. 5.5

Dallas, Texas 1,515.6 Maricopa, Ariz. 39.0 Midland, Texas 5.4

Orange, Calif. 1,459.9 Santa Clara, Calif. 36.9 Montgomery, Texas 5.2

San Diego, Calif. 1,321.0 Orange, Calif. 35.0 Collier, Fla. 4.9

King, Wash. 1,214.7 Clark, Nev. 32.3 Sonoma, Calif. 4.8

Miami-Dade, Fla. 1,043.4 San Diego, Calif. 26.7 Fort Bend, Texas 4.8

 

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.) 

 
- 3 - 

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, Increase in average weekly Percent increase in average 

first quarter 2014 wage, first quarter 2013-14 weekly wage, first 

 quarter 2013-14 

 

United States $1,027 United States $38 United States 3.8

 

New York, N.Y. $2,749 New York, N.Y. $294 Chester, Pa. 13.9

Santa Clara, Calif. 2,074 San Mateo, Calif. 181 New York, N.Y. 12.0

San Mateo, Calif. 2,058 Chester, Pa. 173 San Mateo, Calif. 9.6

Somerset, N.J. 2,048 San Francisco, Calif. 166 Forsyth, N.C. 9.6

San Francisco, Calif. 1,944 Suffolk, Mass. 150 San Francisco, Calif. 9.3

Fairfield, Conn. 1,922 Santa Clara, Calif. 137 Suffolk, Mass. 8.8

Suffolk, Mass. 1,852 Midland, Texas 104 Midland, Texas 8.5

Washington, D.C. 1,701 Middlesex, Mass. 90 Palm Beach, Fla. 7.8

Arlington, Va. 1,669 Forsyth, N.C. 90 Washington, Pa. 7.3

Morris, N.J. 1,646 Lake, Ill. 86 Elkhart, Ind. 7.2

Large County Average Weekly Wages 

Average weekly wages for the nation increased to $1,027, a 3.8 percent increase, during the year ending 

in the first quarter of 2014. Among the 339 largest counties, 323 had over-the-year increases in average 

weekly wages. (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. 
- 4 - 

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. 
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 

Publication frequency 

 Quarterly 

— 6 months after the end of each 

quarter 

 Quarterly 

— 8 months after the end of each 

quarter 

 Monthly 

— Usually first Friday of following 

month 

Use of UI file  Directly summarizes and publishes 

each new quarter of UI data 

 Links each new UI quarter to longitudinal database and directly summarizes gross job gains and losses  Uses UI file as a sampling frame and to 

annually realign sample-based estimates 

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 dynamics data on establishment openings, 

closings, expansions, and contractions 

at the national level by NAICS supersectors 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 

 Provides current monthly estimates of 

employment, hours, and earnings at the 

MSA, state, and national level by industry 

Principal uses  Major uses include: 

— Detailed locality data 

— Periodic universe counts for 

benchmarking sample survey estimates 

— Sample frame for BLS establishment surveys 

 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 

 Major uses include: 

— Principal national economic indicator 

— Official time series for employment 

change measures 

— Input into other major economic indicators 

Program Web 

sites 

 www.bls.gov/cew/  www.bls.gov/bdm/  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: 

BDMInfo@bls.gov). 

Information in this release will be made available to sensory impaired individuals upon request. Voice phone: (202) 691-5200; TDD 

message referral phone number: 1-800-877-8339. 
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014

Employment Average weekly wage 2

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................................ 17.7 336.3 0.1 280 997 1.3 268

Madison, AL................................. 9.1 180.3 -0.1 290 1,049 1.7 241

Mobile, AL.................................... 9.6 164.8 0.8 218 819 0.9 292

Montgomery, AL........................... 6.4 128.0 -0.6 312 785 0.6 303

Shelby, AL.................................... 5.0 77.5 1.9 128 963 4.9 41

Tuscaloosa, AL............................. 4.3 87.2 1.9 128 800 0.3 314

Anchorage Borough, AK............... 8.3 150.6 0.3 265 1,070 3.0 136

Maricopa, AZ................................ 92.9 1,749.9 2.3 102 977 3.3 117

Pima, AZ....................................... 18.6 353.0 0.0 282 821 1.5 252

Benton, AR................................... 5.7 103.1 4.6 13 1,298 -3.2 339

Pulaski, AR................................... 14.4 242.1 0.0 282 881 3.2 124

Washington, AR........................... 5.7 95.0 1.8 137 782 3.0 136

Alameda, CA................................ 57.0 690.3 2.5 88 1,298 4.3 59

Contra Costa, CA......................... 29.7 335.9 2.7 80 1,268 1.5 252

Fresno, CA................................... 31.0 345.0 2.9 72 755 2.6 167

Kern, CA....................................... 17.3 292.2 2.4 97 856 1.2 275

Los Angeles, CA........................... 441.9 4,125.8 2.0 118 1,096 3.8 84

Marin, CA..................................... 11.9 109.0 2.4 97 1,195 4.8 44

Monterey, CA............................... 12.9 162.5 3.2 55 837 0.6 303

Orange, CA.................................. 106.5 1,459.9 2.5 88 1,121 2.7 159

Placer, CA.................................... 11.2 140.0 2.9 72 952 2.1 207

Riverside, CA............................... 52.9 619.5 4.0 27 785 2.1 207

Sacramento, CA........................... 52.3 607.1 1.6 148 1,083 3.0 136

San Bernardino, CA..................... 51.3 646.0 3.7 39 798 1.1 279

San Diego, CA.............................. 99.6 1,321.0 2.1 114 1,131 6.8 13

San Francisco, CA....................... 57.2 629.7 3.9 31 1,944 9.3 5

San Joaquin, CA.......................... 16.8 211.7 2.0 118 803 2.6 167

San Luis Obispo, CA.................... 9.7 109.7 2.9 72 788 0.3 314

San Mateo, CA............................. 25.5 365.7 4.6 13 2,058 9.6 3

Santa Barbara, CA....................... 14.6 189.0 3.3 50 915 2.1 207

Santa Clara, CA........................... 65.3 960.4 4.0 27 2,074 7.1 11

Santa Cruz, CA............................ 9.1 93.5 3.2 55 871 0.5 310

Solano, CA................................... 10.2 125.2 1.5 153 1,038 2.1 207

Sonoma, CA................................. 19.0 188.8 4.8 9 871 0.9 292

Stanislaus, CA.............................. 14.4 168.5 2.1 114 802 1.4 261

Tulare, CA.................................... 9.2 144.0 2.0 118 687 6.3 17

Ventura, CA.................................. 24.7 317.3 1.7 140 1,072 4.4 56

Yolo, CA....................................... 6.0 90.6 1.4 162 1,014 4.0 73

Adams, CO................................... 9.1 176.9 4.7 11 915 2.6 167

Arapahoe, CO.............................. 19.3 298.9 2.6 83 1,250 4.8 44

Boulder, CO.................................. 13.3 165.9 2.6 83 1,161 3.8 84

Denver, CO.................................. 27.0 449.9 3.9 31 1,329 4.8 44

Douglas, CO................................. 10.0 103.9 4.2 22 1,143 3.6 105

El Paso, CO.................................. 16.8 242.9 1.4 162 876 2.3 187

Jefferson, CO............................... 17.8 216.4 2.0 118 993 4.9 41

Larimer, CO.................................. 10.3 137.0 2.7 80 860 4.2 69

Weld, CO...................................... 6.0 94.7 7.5 1 868 5.6 23

Fairfield, CT................................. 33.6 410.5 0.6 238 1,922 2.3 187

Hartford, CT.................................. 26.2 493.6 0.7 224 1,383 5.2 35

New Haven, CT............................ 22.9 354.9 0.6 238 1,026 1.3 268

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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.......................... 7.0 119.6 -1.2 324 $1,022 4.7 47

New Castle, DE............................ 17.7 272.7 1.9 128 1,285 4.3 59

Washington, DC........................... 35.6 727.3 1.2 177 1,701 5.3 31

Alachua, FL.................................. 6.7 119.2 1.0 195 785 1.9 224

Brevard, FL................................... 14.7 189.2 0.7 224 856 0.9 292

Broward, FL.................................. 65.6 736.8 2.8 78 911 3.4 111

Collier, FL..................................... 12.5 133.5 4.9 8 828 0.2 319

Duval, FL..................................... 27.7 453.7 1.6 148 977 1.3 268

Escambia, FL............................... 8.1 123.1 0.8 218 739 2.5 174

Hillsborough, FL........................... 39.3 620.7 2.9 72 950 2.8 149

Lake, FL....................................... 7.6 85.8 3.0 64 639 1.9 224

Lee, FL......................................... 19.8 228.1 6.3 3 749 1.2 275

Leon, FL....................................... 8.3 140.8 2.5 88 763 2.0 215

Manatee, FL................................. 9.9 111.5 3.4 47 706 0.4 311

Marion, FL.................................... 8.0 93.6 1.6 148 657 1.1 279

Miami-Dade, FL............................ 93.4 1,043.4 2.6 83 948 4.4 56

Okaloosa, FL................................ 6.2 78.4 0.9 207 785 0.6 303

Orange, FL................................... 38.1 728.9 3.3 50 873 2.8 149

Osceola, FL.................................. 5.9 80.2 4.1 25 683 1.3 268

Palm Beach, FL............................ 51.7 545.2 3.5 44 1,010 7.8 8

Pasco, FL..................................... 10.2 103.9 2.6 83 657 3.0 136

Pinellas, FL................................... 31.4 396.6 1.3 170 843 1.7 241

Polk, FL........................................ 12.6 200.4 2.0 118 727 3.0 136

Sarasota, FL................................ 14.9 153.5 5.8 4 790 3.7 98

Seminole, FL................................ 14.1 165.1 3.1 58 811 2.5 174

Volusia, FL................................... 13.5 157.6 2.5 88 685 3.8 84

Bibb, GA....................................... 4.6 81.3 2.9 72 772 3.5 108

Chatham, GA................................ 8.2 137.1 1.2 177 833 2.8 149

Clayton, GA.................................. 4.3 111.1 1.7 140 962 4.3 59

Cobb, GA...................................... 22.4 322.8 4.6 13 1,101 1.1 279

De Kalb, GA................................. 18.6 282.3 3.8 37 1,056 4.0 73

Fulton, GA.................................... 43.7 749.8 2.3 102 1,500 5.4 27

Gwinnett, GA................................ 24.9 319.4 3.5 44 988 3.2 124

Muscogee, GA.............................. 4.7 94.6 1.0 195 800 1.9 224

Richmond, GA.............................. 4.7 102.0 1.4 162 801 1.4 261

Honolulu, HI.................................. 24.9 457.2 1.1 184 893 1.8 230

Ada, ID......................................... 13.8 208.8 3.9 31 857 5.9 21

Champaign, IL.............................. 4.5 87.6 -0.3 297 837 1.6 248

Cook, IL........................................ 156.3 2,413.6 1.0 195 1,248 5.0 39

Du Page, IL.................................. 38.6 588.6 0.9 207 1,183 2.7 159

Kane, IL........................................ 13.9 198.6 1.7 140 841 2.6 167

Lake, IL........................................ 23.0 317.8 -0.4 303 1,484 6.2 18

McHenry, IL.................................. 8.9 93.0 2.6 83 807 3.2 124

McLean, IL.................................... 3.9 83.3 -1.7 334 1,041 -1.0 335

Madison, IL................................... 6.1 93.9 -0.3 297 801 2.3 187

Peoria, IL...................................... 4.8 98.6 -2.6 339 963 -0.9 333

St. Clair, IL.................................... 5.7 90.1 -2.3 338 762 1.5 252

Sangamon, IL............................... 5.4 125.5 0.6 238 993 3.2 124

Will, IL.......................................... 16.1 209.7 2.3 102 867 4.2 69

Winnebago, IL.............................. 6.9 122.7 -0.9 317 834 3.1 132

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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........................................ 8.8 174.3 1.1 184 $825 2.0 215

Elkhart, IN..................................... 4.7 118.1 4.0 27 809 7.2 10

Hamilton, IN.................................. 8.7 121.9 4.2 22 1,022 3.7 98

Lake, IN........................................ 10.3 183.1 -1.9 336 863 -0.7 331

Marion, IN..................................... 23.8 568.0 1.0 195 1,052 0.0 324

St. Joseph, IN............................... 5.9 115.8 1.0 195 777 1.0 288

Tippecanoe, IN............................. 3.3 79.3 0.7 224 828 1.5 252

Vanderburgh, IN........................... 4.8 104.0 -0.4 303 804 3.3 117

Black Hawk, IA.......................... 3.7 74.7 0.4 260 826 1.1 279

Johnson, IA.................................. 3.9 79.8 1.5 153 876 3.7 98

Linn, IA......................................... 6.5 126.0 0.6 238 958 3.8 84

Polk, IA........................................ 16.1 279.8 3.0 64 1,044 2.7 159

Scott, IA........................................ 5.5 87.6 0.5 253 780 1.6 248

Johnson, KS................................. 21.1 319.8 2.4 97 1,072 5.3 31

Sedgwick, KS............................... 12.3 242.7 0.9 207 909 5.1 38

Shawnee, KS................................ 4.7 96.0 2.3 102 818 1.1 279

Wyandotte, KS............................. 3.2 85.1 5.5 5 938 5.2 35

Boone, KY................................... 4.1 77.1 1.5 153 822 1.2 275

Fayette, KY................................... 10.3 180.0 1.3 170 869 2.8 149

Jefferson, KY................................ 24.3 431.6 1.0 195 994 3.8 84

Caddo, LA.................................... 7.4 114.3 -1.6 331 779 2.4 182

Calcasieu, LA............................... 5.0 87.2 0.3 265 856 2.0 215

East Baton Rouge, LA.................. 14.9 265.7 1.2 177 915 1.1 279

Jefferson, LA................................ 13.8 191.2 0.3 265 875 2.1 207

Lafayette, LA................................ 9.3 140.0 0.9 207 954 4.3 59

Orleans, LA.................................. 11.5 187.2 3.6 42 980 1.8 230

St. Tammany, LA.......................... 7.7 82.0 3.0 64 841 1.0 288

Cumberland, ME.......................... 12.6 167.6 0.9 207 912 1.7 241

Anne Arundel, MD........................ 14.6 250.4 0.7 224 1,061 -0.4 329

Baltimore, MD............................... 21.2 361.0 -0.1 290 985 0.6 303

Frederick, MD............................... 6.3 94.0 -0.6 312 964 1.9 224

Harford, MD.................................. 5.6 86.4 -0.9 317 910 -0.3 327

Howard, MD................................. 9.5 156.3 -0.2 293 1,220 2.3 187

Montgomery, MD.......................... 33.0 450.7 0.6 238 1,364 3.6 105

Prince Georges, MD..................... 15.6 298.9 -0.4 303 1,007 2.1 207

Baltimore City, MD....................... 13.8 327.0 -0.5 307 1,192 1.7 241

Barnstable, MA............................. 9.0 82.6 0.8 218 830 1.6 248

Bristol, MA.................................... 16.3 214.4 1.6 148 874 2.6 167

Essex, MA.................................... 22.2 305.7 1.7 140 1,044 1.9 224

Hampden, MA.............................. 16.2 196.7 0.6 238 923 2.8 149

Middlesex, MA.............................. 50.1 835.2 1.0 195 1,553 6.2 18

Norfolk, MA................................... 23.6 328.2 1.3 170 1,159 1.8 230

Plymouth, MA............................... 14.2 176.7 1.1 184 894 2.2 199

Suffolk, MA................................... 24.7 611.6 2.2 110 1,852 8.8 6

Worcester, MA.............................. 22.1 321.6 1.0 195 976 2.7 159

Genesee, MI................................. 7.1 131.2 -0.3 297 804 4.3 59

Ingham, MI................................... 6.2 148.4 -0.3 297 961 1.4 261

Kalamazoo, MI............................. 5.2 111.0 0.6 238 917 2.0 215

Kent, MI....................................... 13.9 353.9 3.7 39 862 3.1 132

Macomb, MI.................................. 17.2 301.7 1.1 184 995 2.3 187

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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.................................. 38.1 677.8 1.1 184 $1,107 2.9 143

Ottawa, MI.................................... 5.5 111.6 3.1 58 782 2.8 149

Saginaw, MI.................................. 4.1 81.6 -0.7 315 814 4.5 53

Washtenaw, MI............................. 8.2 196.8 0.5 253 996 1.3 268

Wayne, MI.................................... 30.7 684.1 0.4 260 1,121 6.4 16

Anoka, MN.................................... 6.8 113.9 2.0 118 887 2.1 207

Dakota, MN.................................. 9.4 174.4 1.2 177 997 4.3 59

Hennepin, MN.............................. 41.7 849.5 1.0 195 1,325 3.8 84

Olmsted, MN................................ 3.3 90.3 -1.4 328 1,031 2.7 159

Ramsey, MN................................. 13.1 317.3 0.5 253 1,192 1.8 230

St. Louis, MN................................ 5.3 93.9 0.0 282 813 3.3 117

Stearns, MN................................. 4.2 80.3 0.2 275 761 1.7 241

Washington, MN........................... 5.2 73.7 0.9 207 841 3.8 84

Harrison, MS................................ 4.5 81.9 -0.2 293 708 0.7 301

Hinds, MS..................................... 6.0 119.6 -0.2 293 840 2.9 143

Boone, MO................................... 4.6 88.8 1.8 137 745 0.8 296

Clay, MO...................................... 5.2 91.0 3.6 42 880 3.4 111

Greene, MO.................................. 8.1 156.1 1.9 128 738 3.7 98

Jackson, MO................................ 19.4 345.6 0.3 265 992 0.8 296

St. Charles, MO............................ 8.5 130.5 2.1 114 828 4.3 59

St. Louis, MO................................ 33.4 571.5 1.2 177 1,066 3.3 117

St. Louis City, MO........................ 10.5 217.4 -1.3 325 1,170 4.3 59

Yellowstone, MT........................... 6.3 76.9 0.5 253 813 3.7 98

Douglas, NE................................. 18.3 323.1 2.3 102 933 2.2 199

Lancaster, NE............................... 9.9 160.6 1.9 128 779 2.5 174

Clark, NV..................................... 51.2 861.4 3.9 31 856 3.0 136

Washoe, NV................................. 13.9 190.1 3.3 50 856 2.8 149

Hillsborough, NH.......................... 12.0 190.2 1.0 195 1,086 4.4 56

Rockingham, NH.......................... 10.5 134.9 1.3 170 944 2.8 149

Atlantic, NJ................................... 6.6 125.8 -2.1 337 808 1.5 252

Bergen, NJ................................... 32.9 431.3 1.5 153 1,222 2.4 182

Burlington, NJ............................... 11.0 193.8 -1.4 328 1,017 0.4 311

Camden, NJ................................. 11.9 191.8 0.2 275 937 0.6 303

Essex, NJ.................................... 20.4 330.0 -1.3 325 1,343 1.1 279

Gloucester, NJ.............................. 6.1 97.5 1.6 148 839 1.8 230

Hudson, NJ................................... 14.2 234.6 0.5 253 1,569 2.5 174

Mercer, NJ.................................... 11.0 233.5 1.4 162 1,490 0.7 301

Middlesex, NJ.............................. 21.9 388.4 0.6 238 1,307 3.7 98

Monmouth, NJ.............................. 20.1 240.8 1.1 184 1,003 1.5 252

Morris, NJ..................................... 17.1 275.6 0.7 224 1,646 4.3 59

Ocean, NJ.................................... 12.6 151.1 3.1 58 779 -1.3 336

Passaic, NJ.................................. 12.3 165.0 -1.1 322 968 0.3 314

Somerset, NJ............................... 10.1 175.3 0.8 218 2,048 -0.3 327

Union, NJ..................................... 14.3 218.5 -0.9 317 1,263 1.5 252

Bernalillo, NM............................... 17.9 310.0 0.8 218 836 1.1 279

Albany, NY................................... 10.2 222.2 0.1 280 1,008 2.9 143

Bronx, NY..................................... 17.5 249.2 1.9 128 881 2.2 199

Broome, NY.................................. 4.6 86.4 -1.1 322 750 2.3 187

Dutchess, NY............................... 8.4 107.5 0.0 282 946 -1.6 337

Erie, NY........................................ 24.4 449.9 0.2 275 875 2.3 187

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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..................................... 56.4 556.1 4.6 13 $760 0.8 296

Monroe, NY.................................. 18.5 372.8 0.7 224 919 1.5 252

Nassau, NY.................................. 53.2 595.9 1.7 140 1,091 1.8 230

New York, NY............................... 125.9 2,453.1 2.5 88 2,749 12.0 2

Oneida, NY................................... 5.3 101.0 -0.3 297 751 0.3 314

Onondaga, NY.............................. 13.0 238.4 -0.2 293 911 3.5 108

Orange, NY.................................. 10.1 133.8 0.3 265 798 0.4 311

Queens, NY.................................. 49.1 539.3 2.5 88 911 1.3 268

Richmond, NY.............................. 9.4 97.4 3.1 58 802 1.8 230

Rockland, NY............................... 10.1 113.6 2.9 72 1,054 0.2 319

Saratoga, NY................................ 5.8 78.5 1.1 184 865 0.6 303

Suffolk, NY................................... 51.7 618.4 0.3 265 1,029 -0.4 329

Westchester, NY.......................... 36.2 402.6 0.3 265 1,430 5.4 27

Buncombe, NC............................. 8.2 117.3 1.9 128 727 1.4 261

Catawba, NC................................ 4.2 81.2 1.7 140 720 1.7 241

Cumberland, NC........................... 6.2 117.5 -1.0 320 732 -2.0 338

Durham, NC................................. 7.5 185.7 1.3 170 1,373 3.9 79

Forsyth, NC.................................. 9.0 175.8 1.0 195 1,029 9.6 3

Guilford, NC.................................. 14.1 267.9 0.9 207 883 1.7 241

Mecklenburg, NC.......................... 33.4 600.1 3.1 58 1,382 5.2 35

New Hanover, NC........................ 7.4 100.0 2.2 110 775 1.6 248

Wake, NC..................................... 30.2 479.6 3.5 44 1,013 2.3 187

Cass, ND...................................... 6.5 110.6 3.0 64 869 3.8 84

Butler, OH..................................... 7.5 140.1 2.4 97 872 2.7 159

Cuyahoga, OH.............................. 35.4 696.5 0.0 282 1,054 4.0 73

Delaware, OH............................... 4.6 79.6 0.4 260 1,123 4.0 73

Franklin, OH................................. 29.8 686.6 1.9 128 1,024 4.1 72

Hamilton, OH................................ 23.1 489.7 1.2 177 1,116 0.8 296

Lake, OH...................................... 6.3 92.2 -0.3 297 824 0.2 319

Lorain, OH.................................... 6.0 93.4 0.6 238 807 1.9 224

Lucas, OH.................................... 10.0 201.2 1.4 162 867 2.0 215

Mahoning, OH.............................. 5.9 95.9 0.4 260 686 2.5 174

Montgomery, OH.......................... 11.9 241.8 0.9 207 854 2.2 199

Stark, OH..................................... 8.7 155.1 0.9 207 751 2.2 199

Summit, OH................................. 14.0 255.4 1.5 153 926 3.8 84

Warren, OH................................. 4.4 80.1 4.1 25 862 2.7 159

Cleveland, OK.............................. 5.2 78.7 2.3 102 693 1.8 230

Oklahoma, OK.............................. 26.0 436.4 0.7 224 971 3.9 79

Tulsa, OK..................................... 21.3 337.1 0.7 224 976 4.7 47

Clackamas, OR............................ 13.1 143.1 1.4 162 875 3.1 132

Jackson, OR................................ 6.7 77.7 2.0 118 733 5.0 39

Lane, OR...................................... 11.0 140.5 2.5 88 740 3.2 124

Marion, OR................................... 9.6 135.1 3.4 47 757 2.3 187

Multnomah, OR............................ 30.8 458.5 3.3 50 1,009 2.2 199

Washington, OR........................... 17.1 260.6 3.7 39 1,213 4.6 52

Allegheny, PA............................... 35.0 674.5 -0.6 312 1,130 4.5 53

Berks, PA..................................... 8.9 164.7 0.6 238 867 4.0 73

Bucks, PA..................................... 19.6 246.1 0.6 238 921 1.8 230

Butler, PA..................................... 5.0 83.4 0.6 238 905 1.0 288

Chester, PA.................................. 15.1 238.3 0.8 218 1,415 13.9 1

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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........................... 6.1 124.5 0.5 253 $921 3.3 117

Dauphin, PA................................ 7.3 173.2 -0.1 290 1,038 4.5 53

Delaware, PA............................... 13.7 214.1 1.2 177 1,121 5.5 25

Erie, PA........................................ 7.1 121.4 -0.5 307 759 0.1 323

Lackawanna, PA.......................... 5.9 96.3 -0.5 307 744 3.5 108

Lancaster, PA............................... 12.8 221.6 1.8 137 803 2.0 215

Lehigh, PA.................................... 8.6 176.2 0.7 224 979 3.4 111

Luzerne, PA.................................. 7.5 138.6 0.0 282 773 3.8 84

Montgomery, PA........................... 27.1 465.9 0.3 265 1,346 4.2 69

Northampton, PA.......................... 6.6 104.4 1.1 184 874 3.8 84

Philadelphia, PA........................... 34.6 634.3 0.3 265 1,187 2.9 143

Washington, PA............................ 5.3 84.9 0.7 224 1,067 7.3 9

Westmoreland, PA....................... 9.3 129.6 -0.7 315 772 1.8 230

York, PA....................................... 8.9 170.4 0.3 265 845 1.1 279

Providence, RI.............................. 17.4 272.0 1.5 153 1,057 5.6 23

Charleston, SC............................. 12.4 222.1 2.8 78 863 2.9 143

Greenville, SC.............................. 12.8 244.0 4.4 17 855 2.6 167

Horry, SC..................................... 7.9 110.1 2.5 88 571 1.4 261

Lexington, SC............................... 5.9 104.4 4.4 17 717 -0.1 325

Richland, SC................................ 9.1 206.6 2.1 114 845 2.2 199

Spartanburg, SC........................... 5.9 122.2 2.5 88 818 3.3 117

York, SC....................................... 4.8 81.0 6.4 2 785 2.5 174

Minnehaha, SD............................. 6.7 118.7 2.3 102 852 5.4 27

Davidson, TN................................ 19.4 448.5 3.0 64 1,041 3.3 117

Hamilton, TN................................ 8.7 184.1 0.2 275 863 2.3 187

Knox, TN...................................... 11.2 220.6 1.0 195 837 0.8 296

Rutherford, TN.............................. 4.7 110.6 3.9 31 837 2.3 187

Shelby, TN.................................... 19.4 470.1 -0.4 303 1,017 3.9 79

Williamson, TN............................. 7.0 105.1 4.0 27 1,189 -0.9 333

Bell, TX......................................... 5.0 110.6 0.9 207 821 4.3 59

Bexar, TX..................................... 36.7 784.5 2.3 102 917 3.0 136

Brazoria, TX................................. 5.2 97.4 1.7 140 1,032 6.6 15

Brazos, TX.................................... 4.2 95.1 3.9 31 711 2.3 187

Cameron, TX................................ 6.4 133.9 1.9 128 581 1.4 261

Collin, TX...................................... 20.9 337.0 4.3 19 1,213 2.5 174

Dallas, TX..................................... 70.8 1,515.6 3.1 58 1,281 5.4 27

Denton, TX.................................. 12.3 200.2 4.2 22 895 2.4 182

El Paso, TX.................................. 14.3 283.7 1.1 184 690 3.9 79

Fort Bend, TX............................... 10.9 159.5 4.8 9 1,034 4.0 73

Galveston, TX............................... 5.7 101.2 3.0 64 905 2.1 207

Gregg, TX..................................... 4.2 76.9 -1.6 331 879 3.8 84

Harris, TX..................................... 107.5 2,226.8 3.0 64 1,399 4.7 47

Hidalgo, TX................................... 11.8 238.5 1.4 162 597 2.9 143

Jefferson, TX................................ 5.8 120.7 -0.5 307 1,016 3.6 105

Lubbock, TX................................. 7.2 130.0 2.0 118 750 4.7 47

McLennan, TX.............................. 4.9 101.9 0.0 282 781 2.2 199

Midland, TX.................................. 5.2 88.0 5.4 6 1,322 8.5 7

Montgomery, TX........................... 9.8 154.8 5.2 7 1,022 2.5 174

Nueces, TX.................................. 8.1 161.8 1.5 153 867 3.8 84

Potter, TX..................................... 3.9 77.4 1.3 170 775 2.8 149

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 340 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 2

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..................................... 5.9 95.3 0.7 224 $799 3.8 84

Tarrant, TX................................... 39.6 814.0 2.0 118 1,010 5.5 25

Travis, TX..................................... 34.6 646.6 4.3 19 1,100 3.4 111

Webb, TX..................................... 5.0 93.5 2.2 110 650 3.2 124

Williamson, TX............................. 8.7 143.5 4.3 19 1,127 6.7 14

Davis, UT..................................... 7.6 110.7 3.4 47 778 1.0 288

Salt Lake, UT................................ 39.6 614.6 2.7 80 947 3.4 111

Utah, UT....................................... 13.6 189.6 4.7 11 771 5.9 21

Weber, UT.................................... 5.6 94.3 1.4 162 721 4.9 41

Chittenden, VT............................. 6.3 97.0 0.6 238 937 0.2 319

Arlington, VA................................ 8.8 163.1 -1.8 335 1,669 3.2 124

Chesterfield, VA........................... 8.1 121.8 2.0 118 866 1.3 268

Fairfax, VA.................................... 35.3 576.4 -1.5 330 1,580 1.2 275

Henrico, VA.................................. 10.4 178.5 0.9 207 1,110 6.2 18

Loudoun, VA................................ 10.5 145.9 1.5 153 1,244 3.9 79

Prince William, VA........................ 8.2 116.3 0.6 238 832 -0.1 325

Alexandria City, VA...................... 6.3 93.8 -1.6 331 1,368 5.3 31

Chesapeake City, VA................... 5.7 95.1 0.2 275 758 -0.7 331

Newport News City, VA................ 3.7 97.9 1.1 184 989 2.8 149

Norfolk City, VA........................... 5.6 134.2 -0.5 307 969 3.7 98

Richmond City, VA....................... 7.1 147.4 0.7 224 1,147 3.2 124

Virginia Beach City, VA................ 11.3 167.2 0.5 253 769 1.5 252

Benton, WA.................................. 6.1 77.0 0.7 224 959 0.6 303

Clark, WA..................................... 14.9 136.0 3.8 37 887 2.4 182

King, WA...................................... 88.8 1,214.7 3.3 50 1,353 4.7 47

Kitsap, WA.................................... 7.1 80.9 2.2 110 888 1.4 261

Pierce, WA................................... 23.5 273.0 3.0 64 867 0.3 314

Snohomish, WA............................ 21.1 264.2 1.7 140 1,161 6.9 12

Spokane, WA............................... 16.8 202.1 1.3 170 822 0.9 292

Thurston, WA............................... 8.1 101.9 3.2 55 861 1.8 230

Whatcom, WA.............................. 7.4 82.1 1.5 153 801 3.1 132

Yakima, WA................................. 9.2 99.2 2.4 97 653 2.0 215

Kanawha, WV............................... 5.9 102.6 -1.3 325 845 2.7 159

Brown, WI..................................... 6.5 146.2 0.6 238 881 5.3 31

Dane, WI...................................... 14.1 308.1 1.1 184 970 3.4 111

Milwaukee, WI.............................. 24.5 471.3 0.0 282 992 2.0 215

Outagamie, WI............................. 5.0 101.0 0.4 260 827 2.6 167

Waukesha, WI.............................. 12.3 226.5 0.7 224 992 2.0 215

Winnebago, WI............................. 3.6 88.2 -1.0 320 928 2.4 182

San Juan, PR............................... 11.2 256.0 -1.2 (5) 621 0.8 (5)

1 Includes areas not officially designated as counties. See Technical Note.

2 Average weekly wages were calculated using unrounded data.

3 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical

Note.

4 Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

5 This county was not included in the U.S. rankings.

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

(UCFE) programs. These 339 U.S. counties comprise 72.0 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

first quarter 2014

Employment Average weekly wage 1

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................................................................. 9,358.3 134,555.0 1.7 $1,027 3.8

 Private industry............................................................. 9,064.0 113,150.6 2.1 1,035 4.1

 Natural resources and mining.................................... 135.2 1,920.1 2.5 1,249 6.4

 Construction............................................................... 748.0 5,721.2 4.2 1,002 2.6

 Manufacturing............................................................ 338.0 12,033.7 0.9 1,266 3.4

 Trade, transportation, and utilities.............................. 1,910.1 25,564.3 2.1 842 3.1

 Information................................................................. 148.7 2,710.2 0.6 1,905 7.1

 Financial activities...................................................... 829.1 7,588.3 0.7 2,115 10.0

 Professional and business services........................... 1,661.8 18,631.2 2.4 1,346 4.2

 Education and health services................................... 1,489.9 20,451.4 1.3 852 1.9

 Leisure and hospitality............................................... 789.7 14,134.7 3.0 388 1.8

 Other services............................................................ 805.0 4,172.3 1.7 641 3.2

 Government.................................................................. 294.2 21,404.4 -0.2 983 2.5

Los Angeles, CA.............................................................. 441.9 4,125.8 2.0 1,096 3.8

 Private industry............................................................. 436.2 3,587.4 2.2 1,073 4.0

 Natural resources and mining.................................... 0.5 10.4 1.1 1,730 8.3

 Construction............................................................... 12.8 117.3 2.5 1,065 1.3

 Manufacturing............................................................ 12.5 363.2 -0.8 1,215 0.1

 Trade, transportation, and utilities.............................. 52.9 775.4 2.0 880 3.0

 Information................................................................. 9.1 198.4 1.7 2,084 10.3

 Financial activities...................................................... 23.6 206.9 -0.7 2,143 12.4

 Professional and business services........................... 46.0 597.8 2.6 1,350 3.0

 Education and health services................................... 204.7 708.1 1.1 795 3.2

 Leisure and hospitality............................................... 29.6 450.5 5.6 551 2.4

 Other services............................................................ 26.5 144.2 3.1 646 2.4

 Government.................................................................. 5.7 538.3 0.2 1,253 3.0

New York, NY.................................................................. 125.9 2,453.1 2.5 2,749 12.0

 Private industry............................................................. 125.6 2,020.4 2.9 3,092 12.5

 Natural resources and mining.................................... 0.0 0.2 9.5 3,901 61.5

 Construction............................................................... 2.2 33.1 -0.4 1,702 2.0

 Manufacturing............................................................ 2.3 25.1 -1.6 1,736 16.0

 Trade, transportation, and utilities.............................. 20.7 255.9 1.3 1,339 3.6

 Information................................................................. 4.6 145.9 1.8 3,207 9.0

 Financial activities...................................................... 19.1 354.2 1.7 9,261 21.0

 Professional and business services........................... 26.5 509.7 3.1 2,603 6.4

 Education and health services................................... 9.6 324.1 3.3 1,206 1.8

 Leisure and hospitality............................................... 13.5 269.8 5.1 809 2.5

 Other services............................................................ 19.7 96.0 2.3 1,086 4.3

 Government.................................................................. 0.3 432.7 0.4 1,147 2.6

Cook, IL........................................................................... 156.3 2,413.6 1.0 1,248 5.0

 Private industry............................................................. 155.0 2,120.7 1.4 1,258 5.4

 Natural resources and mining.................................... 0.1 0.7 4.9 855 2.0

 Construction............................................................... 12.8 58.8 3.9 1,323 2.3

 Manufacturing............................................................ 6.7 185.7 -0.8 1,224 4.9

 Trade, transportation, and utilities.............................. 30.8 442.4 1.3 937 4.1

 Information................................................................. 2.8 53.0 -1.0 2,027 2.9

 Financial activities...................................................... 16.1 181.7 -0.2 3,270 16.9

 Professional and business services........................... 33.3 433.7 2.6 1,539 1.2

 Education and health services................................... 16.4 421.6 1.1 878 0.3

 Leisure and hospitality............................................... 14.0 242.6 2.0 453 1.6

 Other services............................................................ 17.5 95.9 1.7 964 17.7

 Government.................................................................. 1.3 292.9 -1.7 1,176 1.4

 See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 1

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........................................................................ 107.5 2,226.8 3.0 $1,399 4.7

 Private industry............................................................. 107.0 1,962.6 3.0 1,447 4.9

 Natural resources and mining.................................... 1.8 92.9 6.0 4,113 7.0

 Construction............................................................... 6.7 150.4 4.1 1,314 4.5

 Manufacturing............................................................ 4.7 193.8 2.3 1,648 3.1

 Trade, transportation, and utilities.............................. 24.2 458.1 3.1 1,291 3.5

 Information................................................................. 1.2 28.4 0.8 1,485 2.3

 Financial activities...................................................... 11.0 117.2 2.7 2,122 7.7

 Professional and business services........................... 21.6 385.2 1.5 1,729 6.4

 Education and health services................................... 14.8 265.0 2.2 955 2.5

 Leisure and hospitality............................................... 9.0 207.8 5.4 413 0.5

 Other services............................................................ 11.6 62.8 2.9 769 6.7

 Government.................................................................. 0.5 264.2 2.6 1,042 2.6

Maricopa, AZ.................................................................... 92.9 1,749.9 2.3 977 3.3

 Private industry............................................................. 92.2 1,539.9 2.5 987 3.5

 Natural resources and mining.................................... 0.5 8.3 -0.1 1,194 1.1

 Construction............................................................... 7.3 91.8 3.4 980 4.6

 Manufacturing............................................................ 3.2 114.3 0.7 1,502 2.4

 Trade, transportation, and utilities.............................. 20.3 345.1 2.9 894 2.4

 Information................................................................. 1.5 32.7 3.2 1,450 12.7

 Financial activities...................................................... 11.0 151.8 3.5 1,514 4.6

 Professional and business services........................... 22.0 291.7 1.5 1,058 5.4

 Education and health services................................... 10.8 256.3 1.3 903 1.2

 Leisure and hospitality............................................... 7.4 198.1 4.1 440 2.1

 Other services............................................................ 6.4 47.7 2.2 670 5.8

 Government.................................................................. 0.7 210.0 0.4 900 1.2

Dallas, TX........................................................................ 70.8 1,515.6 3.1 1,281 5.4

 Private industry............................................................. 70.3 1,348.6 3.2 1,307 5.6

 Natural resources and mining.................................... 0.6 9.7 5.2 4,429 12.7

 Construction............................................................... 4.0 74.3 7.0 1,104 6.5

 Manufacturing............................................................ 2.7 106.1 -3.3 1,606 3.4

 Trade, transportation, and utilities.............................. 15.3 303.2 4.7 1,085 4.9

 Information................................................................. 1.4 48.2 2.1 2,369 1.2

 Financial activities...................................................... 8.5 147.5 1.9 2,124 10.1

 Professional and business services........................... 15.8 300.9 3.8 1,402 6.1

 Education and health services................................... 8.7 178.3 2.5 1,063 5.7

 Leisure and hospitality............................................... 6.1 140.6 4.5 482 4.1

 Other services............................................................ 6.8 39.3 2.1 731 2.2

 Government.................................................................. 0.5 167.0 2.4 1,068 2.8

Orange, CA...................................................................... 106.5 1,459.9 2.5 1,121 2.7

 Private industry............................................................. 105.2 1,315.1 2.6 1,100 2.9

 Natural resources and mining.................................... 0.2 3.6 -2.5 670 5.3

 Construction............................................................... 6.2 79.7 6.6 1,166 5.9

 Manufacturing............................................................ 4.9 157.2 -0.6 1,426 4.3

 Trade, transportation, and utilities.............................. 16.6 249.8 1.7 983 1.2

 Information................................................................. 1.2 24.0 -2.3 1,810 4.3

 Financial activities...................................................... 10.3 111.7 0.0 1,839 4.7

 Professional and business services........................... 20.1 269.7 3.8 1,336 4.6

 Education and health services................................... 26.5 184.6 2.3 861 -0.1

 Leisure and hospitality............................................... 7.7 188.6 3.9 438 2.6

 Other services............................................................ 6.4 41.9 3.0 636 2.3

 Government.................................................................. 1.3 144.8 1.6 1,317 2.3

 See footnotes at end of table.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

first quarter 2014 - Continued

Employment Average weekly wage 1

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................................................................ 99.6 1,321.0 2.1 $1,131 6.8

 Private industry............................................................. 98.2 1,100.6 2.3 1,115 7.8

 Natural resources and mining.................................... 0.7 10.0 -2.7 615 6.8

 Construction............................................................... 6.1 61.6 4.7 1,065 3.5

 Manufacturing............................................................ 3.0 96.0 0.6 1,786 16.4

 Trade, transportation, and utilities.............................. 14.0 209.6 1.6 915 7.3

 Information................................................................. 1.2 24.4 -0.5 1,765 9.9

 Financial activities...................................................... 9.0 69.6 -2.1 1,665 8.2

 Professional and business services........................... 17.6 226.0 2.0 1,642 11.9

 Education and health services................................... 27.5 181.7 1.8 870 1.6

 Leisure and hospitality............................................... 7.5 170.4 4.3 428 0.9

 Other services............................................................ 6.9 47.5 5.9 557 0.7

 Government.................................................................. 1.4 220.3 0.9 1,213 2.8

King, WA......................................................................... 88.8 1,214.7 3.3 1,353 4.7

 Private industry............................................................. 88.2 1,054.3 3.6 1,373 4.8

 Natural resources and mining.................................... 0.4 2.4 -1.6 1,515 -4.7

 Construction............................................................... 5.9 53.4 7.7 1,166 0.1

 Manufacturing............................................................ 2.3 104.9 0.8 1,921 10.5

 Trade, transportation, and utilities.............................. 15.0 225.4 4.7 1,159 4.1

 Information................................................................. 1.9 83.7 3.7 2,764 9.5

 Financial activities...................................................... 6.5 64.7 0.7 1,913 2.8

 Professional and business services........................... 15.7 200.1 3.4 1,651 4.2

 Education and health services................................... 25.2 160.1 3.5 894 0.7

 Leisure and hospitality............................................... 6.8 119.3 4.3 473 4.2

 Other services............................................................ 8.6 40.2 3.7 803 1.9

 Government.................................................................. 0.5 160.4 1.8 1,227 4.2

Miami-Dade, FL............................................................... 93.4 1,043.4 2.6 948 4.4

 Private industry............................................................. 93.0 906.3 3.1 933 4.7

 Natural resources and mining.................................... 0.5 10.4 11.3 478 -5.2

 Construction............................................................... 5.2 34.7 9.5 897 9.9

 Manufacturing............................................................ 2.7 36.7 2.5 913 5.3

 Trade, transportation, and utilities.............................. 27.4 266.3 2.9 865 3.8

 Information................................................................. 1.6 18.0 3.4 1,571 7.0

 Financial activities...................................................... 9.8 70.3 4.3 1,787 9.4

 Professional and business services........................... 19.7 140.5 3.2 1,103 4.6

 Education and health services................................... 10.2 160.8 0.8 904 1.8

 Leisure and hospitality............................................... 7.1 130.4 3.0 525 2.5

 Other services............................................................ 8.2 37.8 3.4 573 3.8

 Government.................................................................. 0.3 137.1 -0.8 1,047 3.5

1 Average weekly wages were calculated using unrounded data.

2 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical Note.

3 Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Counties selected are based on 2013 annual average employment. Includes workers covered by Unemployment Insurance

(UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
Table 3. Covered establishments, employment, and wages by state,

first quarter 2014

Employment Average weekly wage 1

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.................................................... 117.5 1,849.5 0.6 825 1.6

Alaska........................................................ 22.0 319.1 0.3 1,023 3.5

Arizona...................................................... 145.8 2,540.8 1.9 918 3.1

Arkansas................................................... 87.2 1,152.6 0.3 784 2.5

California................................................... 1,377.6 15,572.9 2.8 1,165 4.5

Colorado.................................................... 177.4 2,370.1 3.1 1,046 4.2

Connecticut............................................... 113.5 1,627.2 0.5 1,362 3.3

Delaware................................................... 29.1 412.5 2.0 1,110 3.9

District of Columbia................................... 35.6 727.3 1.2 1,701 5.3

Florida....................................................... 633.6 7,752.4 2.9 868 3.0

Georgia...................................................... 280.1 3,974.8 2.6 972 3.4

Hawaii........................................................ 39.0 624.9 1.2 857 1.9

Idaho......................................................... 54.0 631.5 3.3 722 3.9

Illinois........................................................ 411.8 5,651.2 0.9 1,104 4.2

Indiana....................................................... 159.6 2,842.5 1.2 845 1.7

Iowa........................................................... 98.8 1,485.4 1.5 824 3.0

Kansas...................................................... 84.8 1,343.0 1.7 840 4.1

Kentucky.................................................... 120.0 1,784.1 1.1 811 2.7

Louisiana................................................... 129.5 1,909.8 1.2 868 2.6

Maine......................................................... 48.8 565.9 0.7 786 1.9

Maryland.................................................... 166.3 2,512.8 0.1 1,086 1.8

Massachusetts.......................................... 226.0 3,272.2 1.3 1,300 5.3

Michigan.................................................... 236.6 4,013.5 1.7 950 3.1

Minnesota.................................................. 164.6 2,652.3 0.8 1,036 3.4

Mississippi................................................. 71.3 1,096.8 0.6 707 1.7

Missouri..................................................... 182.4 2,634.6 1.0 866 2.9

Montana.................................................... 43.7 429.9 0.7 730 3.3

Nebraska................................................... 70.2 930.7 1.7 797 2.6

Nevada...................................................... 75.6 1,183.5 3.4 867 2.7

New Hampshire......................................... 49.6 614.2 1.3 970 3.4

New Jersey............................................... 265.3 3,794.3 0.6 1,263 2.2

New Mexico............................................... 56.2 787.0 0.2 793 1.9

New York.................................................. 621.7 8,699.5 1.6 1,460 7.3

North Carolina........................................... 259.7 4,003.2 1.7 914 3.4

North Dakota............................................. 31.1 428.9 3.3 944 6.7

Ohio........................................................... 288.3 5,071.5 1.3 909 2.8

Oklahoma.................................................. 106.8 1,565.2 0.7 854 3.9

Oregon...................................................... 135.9 1,688.5 2.8 893 3.4

Pennsylvania............................................. 348.2 5,560.9 0.3 1,007 4.1

Rhode Island............................................. 35.6 449.7 1.1 996 4.4

South Carolina.......................................... 118.7 1,873.6 2.7 787 1.9

South Dakota............................................ 31.7 400.2 1.4 741 4.5

Tennessee................................................. 145.0 2,718.2 1.7 874 2.2

Texas......................................................... 616.5 11,220.6 2.6 1,062 4.5

Utah........................................................... 88.7 1,270.8 3.1 831 3.4

Vermont..................................................... 24.4 301.1 0.5 807 1.9

Virginia...................................................... 242.4 3,613.2 0.0 1,050 2.2

Washington............................................... 251.8 2,966.3 2.6 1,068 3.8

West Virginia............................................. 49.6 694.6 -0.9 779 1.4

Wisconsin.................................................. 163.2 2,694.5 1.0 856 2.9

 See footnotes at end of table.
Table 3. Covered establishments, employment, and wages by state,

first quarter 2014 - Continued

Employment Average weekly wage 1

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............................................... 48.3 914.9 -1.8 521 1.4

Virgin Islands............................................ 3.4 38.3 -3.6 744 2.6

1 Average weekly wages were calculated using unrounded data.

2 Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

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

Federal Employees (UCFE) programs.
Largest Counties

Higher than U.S. average

U.S. average or lower

Source: Bureau of Labor Statistics 

 September 2014

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)