For release 10:00 a.m. (EST), Tuesday, March 7, 2017 USDL-17-0297 

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

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

COUNTY EMPLOYMENT AND WAGES

Third Quarter 2016 

From September 2015 to September 2016, employment increased in 307 of the 344 largest U.S. 

counties, the U.S. Bureau of Labor Statistics reported today. York, S.C., had the largest percentage

increase with a gain of 6.0 percent over the year, above the national job growth rate of 1.7 percent. 

Within York, the largest employment increase occurred in professional and business services, which 

gained 1,408 jobs over the year (15.0 percent). Midland, Texas, had the largest over-the-year percentage 

decrease in employment among the largest counties in the U.S., with a loss of 5.8 percent. Within 

Midland, trade, transportation, and utilities had the largest decrease in employment, with a loss of 1,504 

jobs (-8.2 percent). County employment and wage data are from the Quarterly Census of Employment 

and Wages (QCEW) program, which provides the only detailed quarterly and annual universe count of 

establishments, employment, and wages at the county, metropolitan statistical area, state, and national 

levels by detailed industry. These data are published within 6 months following the end of each quarter. 

The U.S. average weekly wage increased 5.4 percent over the year, growing to $1,027 in the third 

quarter of 2016. Clark, Nev., had the largest over-the-year percentage increase in average weekly wages 

with a gain of 12.2 percent. Within Clark, an average weekly wage gain of $151 (24.0 percent) in leisure 

and hospitality made the largest contribution to the county’s increase in average weekly wages.

Rockland, N.Y., experienced the largest percentage decrease in average weekly wages with a loss of 

14.9 percent over the year. Within Rockland, manufacturing had the largest impact on the county’s 

average weekly wage decline with a decrease of $2,912 (-63.6 percent) over the year. 

Chart 1. Large counties ranked by percent increase in 

employment, September 2015-16 

(U.S. average = 1.7 percent)

Chart 2. Large counties ranked by percent increase in 

average weekly wages, third quarter 2015-16 

(U.S. average = 5.4 percent)

2

4

6

York,

S.C.

Williamson,

Tenn.

Utah,

Utah

Collier,

Fla.

Washoe,

Nev.

Percent

8

10

12

Clark,

Nev.

Manatee,

Fla.

Hillsborough,

N.H.

Elkhart,

Ind.

Boone,

Ky.

Percent
- 2 -

Large County Employment 

In September 2016, national employment was 142.9 million (as measured by the QCEW program). Over 

the year, employment increased 1.7 percent, or 2.4 million. In September 2016, the 344 U.S. counties 

with 75,000 or more jobs accounted for 72.5 percent of total U.S. employment and 77.7 percent of total 

wages. These 344 counties had a net job growth of 2.0 million over the year, accounting for 80.5 percent 

of the overall U.S. employment increase. (See chart 3.) The 5 counties with the largest increases in 

employment levels had a combined over-the-year employment gain of 261,700 jobs, which was 10.7 

percent of the overall job increase for the U.S. (See table A.) 

Employment declined in 33 of the largest counties from September 2015 to September 2016. Midland, 

Texas, had the largest over-the-year percentage decrease in employment (-5.8 percent), followed by 

Lafayette, La.; Gregg, Texas; Anchorage, Alaska; and Washington, Pa. (See table 1.)

Table A. Large counties ranked by September 2016 employment, September 2015-16 employment increase, and 

September 2015-16 percent increase in employment 

Employment in large counties

September 2016 employment Increase in employment, Percent increase in employment, 

(thousands) September 2015-16 September 2015-16

(thousands)

United States 142,940.5 United States 2,444.7 United States 1.7

Los Angeles, Calif. 4,357.4 Los Angeles, Calif. 70.7 York, S.C. 6.0

Cook, Ill. 2,577.2 Maricopa, Ariz. 62.0 Williamson, Tenn. 5.8

New York, N.Y. 2,411.9 Dallas, Texas 49.6 Utah, Utah 5.3

Harris, Texas 2,262.3 King, Wash. 42.3 Collier, Fla. 5.1

Maricopa, Ariz. 1,885.6 New York, N.Y. 37.1 Washoe, Nev. 5.0

Dallas, Texas 1,662.8 Clark, Nev. 34.1 Placer, Calif. 4.9

Orange, Calif. 1,563.4 Orange, Calif. 32.3 Seminole, Fla. 4.8

San Diego, Calif. 1,415.6 Fulton, Ga. 31.7 Brevard, Fla. 4.7

King, Wash. 1,331.3 San Diego, Calif. 30.4 Volusia, Fla. 4.7

Miami-Dade, Fla. 1,107.4 Cook, Ill. 29.6 Thurston, Wash. 4.7

Large County Average Weekly Wages 

Average weekly wages for the nation increased to $1,027, a 5.4 percent increase, during the year ending 

in the third quarter of 2016. Among the 344 largest counties, 339 had over-the-year increases in average 

weekly wages. (See chart 4.) Clark, Nev., had the largest percentage wage increase among the largest 

U.S. counties (12.2 percent). (See table B.) 

Of the 344 largest counties, 5 experienced over-the-year decreases in average weekly wages. Rockland, 

N.Y., had the largest percentage decrease in average weekly wages (-14.9 percent), followed by 

Lafayette, La.; Benton, Ark.; Lake, Ill.; and Midland, Texas. (See table 1.) 
- 3 -

Table B. Large counties ranked by third quarter 2016 average weekly wages, third quarter 2015-16

increase in average weekly wages, and third quarter 2015-16 percent increase in average weekly wages 

Average weekly wage in large counties

Average weekly wage, Increase in average weekly Percent increase in average 

third quarter 2016 wage, third quarter 2015-16 weekly wage, third

quarter 2015-16

United States $1,027 United States $53 United States 5.4

Santa Clara, Calif. $2,260 Santa Clara, Calif. $186 Clark, Nev. 12.2

San Mateo, Calif. 2,098 San Mateo, Calif. 172 Manatee, Fla. 10.7

San Francisco, Calif. 1,892 San Francisco, Calif. 150 Hillsborough, N.H. 10.4

New York, N.Y. 1,879 Middlesex, Mass. 139 Elkhart, Ind. 10.3

Washington, D.C. 1,728 King, Wash. 119 Boone, Ky. 10.3

Suffolk, Mass. 1,660 Alameda, Calif. 112 McLean, Ill. 10.2

Arlington, Va. 1,648 Hillsborough, N.H. 107 Dane, Wis. 10.1

King, Wash. 1,582 Clark, Nev. 103 Middlesex, Mass. 9.8

Middlesex, Mass. 1,555 Suffolk, Mass. 96 Washington, Ark. 9.5

Fairfax, Va. 1,546 Ramsey, Minn. 95 Alachua, Fla. 9.5

Dane, Wis. 95

Ten Largest U.S. Counties 

Among the 10 largest counties, 9 had over-the-year percentage increases in employment in September 

2016. Maricopa, Ariz., had the largest gain (3.4 percent). Within Maricopa, professional and business 

services had the largest over-the-year employment level increase, with a gain of 12,662 jobs, or 4.0 

percent. Harris, Texas, had the only percentage decrease in employment among the 10 largest counties 

(-0.9 percent). (See table 2.)

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Wash., 

experienced the largest percentage gain in average weekly wages (8.1 percent). Within King, trade, 

transportation, and utilities had the largest impact on the county’s average weekly wage growth. Within 

trade, transportation, and utilities, average weekly wages increased by $210, or 17.8 percent, over the 

year. Harris, Texas, had the smallest percentage gain in average weekly wages among the 10 largest 

counties (2.1 percent). 
- 4 -

For More Information

The tables and charts included in this release contain data for the nation and for the 344 U.S. counties 

with annual average employment levels of 75,000 or more in 2015. September 2016 employment and 

2016 third quarter average weekly wages for all states are provided in table 3 of this release.

The data are derived from reports submitted by employers who are subject to unemployment insurance 

(UI) laws. The 9.8 million employer reports cover 142.9 million full- and part-time workers. Data for the 

third quarter of 2016 will be available later at www.bls.gov/cew. Additional information about the 

quarterly employment and wages data is available in the Technical Note. More information about 

QCEW data may be obtained by calling (202) 691-6567. 

The most current news release on quarterly measures of gross job flows is available from QCEW 

Business Employment Dynamics at www.bls.gov/news.release/pdf/cewbd.pdf. 

Several BLS regional offices issue QCEW news releases targeted to local data users. Links to these 

releases are available at www.bls.gov/cew/cewregional.htm. 

The County Employment and Wages release for fourth quarter 2016 is scheduled to be released 

on Wednesday, June 7, 2017. 
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 (NAICS). Data for 2016 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 345 counties 

presented in this release were derived using 2015 preliminary annual averages of employment. For 2016 data, four counties have 

been added to the publication tables: Merced, Calif.; Napa, Calif.; 

Bay, Fla.; and Merrimack, N.H. These counties will be included in 

all 2016 quarterly releases. Two counties, Black Hawk, Iowa, and 

Ector, Texas, which were published in the 2015 releases, will be 

excluded from this and future 2016 releases because their 2015 annual average employment levels were less than 75,000. The counties in table 2 are selected and sorted each year based on the annual 

average employment from the preceding year.

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

QCEW BED CES

Source Count of UI administrative records 

submitted by 9.7 million establishments in first quarter of 2016

Count of longitudinally-linked UI administrative records submitted by 

7.7 million private-sector employers

Sample survey: 634,000 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

— Within 6 months after the end of 

each quarter

Quarterly

— 7 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 lossesUses 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, 

metropolitan statistical area (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 9.5 million employer 

reports of employment and wages submitted by states to the BLS in 

2015. 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 2015, UI and 

UCFE programs covered workers in 139.5 million jobs. The estimated 

134.4 million workers in these jobs (after adjustment for multiple jobholders) represented 96.5 percent of civilian wage and salary employment. Covered workers received $7.385 trillion in pay, representing 

94.0 percent of the wage and salary component of personal income 

and 40.9 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 2015 quarterly data as the base data. The adjusted 

prior-year levels used to calculate the over-the-year percent change in 

employment and wages are not published. These adjusted prior-year 

levels do not match the unadjusted data maintained on the BLS Web 

site. Over-the-year change calculations based on data from the Web 

site, or from data published in prior BLS news releases, may differ 

substantially from the over-the-year changes presented in this news 

release.

The adjusted data used to calculate the over-the-year change 

measures presented in this release account for most of the administrative changes—those occurring when employers update the industry, 

location, and ownership information of their establishments. The most 

common adjustments for administrative change are the result of updated information about the county location of individual establishments. Included in these adjustments are administrative changes involving the classification of establishments that were previously reported in the unknown or statewide county or unknown industry categories. Adjusted data account for improvements in reporting employment and wages for individual and multi-unit establishments. To accomplish this, adjustments were implemented to account for: administrative changes caused by multi-unit employers who start reporting 

for each individual establishment rather than as a single entity (first 

quarter of 2008); selected large administrative changes in employment 

and wages (second quarter of 2011); and state verified improvements 

in reporting of employment and wages (third quarter of 2014). These 

adjustments allow QCEW to include county employment and wage 

growth rates in this news release that would otherwise not meet publication standards.

The adjusted data used to calculate the over-the-year change 

measures presented in any County Employment and Wages news release are valid for comparisons between the starting and ending points 

(a 12-month period) used in that particular release. Comparisons may 

not be valid for any time period other than the one featured in a release 

even if the changes were calculated using adjusted data.

County definitions are assigned according to Federal Information 

Processing Standards Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after approval by the 

Secretary of Commerce pursuant to Section 5131 of the Information 

Technology Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. Areas shown as counties include those designated as independent cities in some jurisdictions and, 

in Alaska, those designated as census areas where counties have not 

been created. County data also are presented for the New England 

states for comparative purposes even though townships are the more 

common designation used in New England (and New Jersey). The regions referred to in this release are defined as census regions.

Additional statistics and other information

Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2015 edition of this 

publication, which was published in September 2016, contains selected data produced by Business Employment Dynamics (BED) on 

job gains and losses, as well as selected data from the first quarter 

2016 version of this news release. Tables and additional content from

the 2015 edition of Employment and Wages Annual Averages Online 

are now available at www.bls.gov/cew/cewbultn15.htm. The 2016 

edition of Employment and Wages Annual Averages Online will be 

available in September 2017. 

News releases on quarterly measures of gross job flows also are 

available from BED at www.bls.gov/bdm, (202) 691-6467, or 

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: (800) 877-8339.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

United States4.............................. 9,800.8 142,940.5 1.7 - $1,027 5.4 -

Jefferson, AL................................ 18.3 340.8 0.6 273 1,010 5.1 211

Madison, AL................................. 9.4 192.8 3.0 69 1,122 6.4 100

Mobile, AL.................................... 10.0 169.2 1.0 238 887 6.4 100

Montgomery, AL........................... 6.4 131.6 2.0 142 858 4.9 226

Shelby, AL.................................... 5.7 84.3 0.7 265 970 6.7 79

Tuscaloosa, AL............................. 4.5 92.9 0.3 297 824 1.7 334

Anchorage Borough, AK............... 8.3 153.3 -2.2 340 1,102 1.8 332

Maricopa, AZ................................ 95.0 1,885.6 3.4 46 996 7.1 56

Pima, AZ....................................... 18.7 360.4 1.4 203 866 6.4 100

Benton, AR................................... 6.1 116.5 3.3 51 934 -2.0 342

Pulaski, AR................................... 14.4 248.8 1.2 226 922 6.0 130

Washington, AR........................... 5.9 104.4 2.9 74 862 9.5 9

Alameda, CA................................ 61.6 757.1 2.3 123 1,394 8.7 18

Butte, CA..................................... 8.3 82.7 2.9 74 780 7.3 47

Contra Costa, CA......................... 31.7 362.2 3.0 69 1,245 6.3 108

Fresno, CA................................... 33.9 385.0 1.9 153 807 4.5 254

Kern, CA....................................... 18.2 324.8 -0.3 316 861 4.6 247

Los Angeles, CA........................... 472.3 4,357.4 1.6 183 1,132 5.8 152

Marin, CA..................................... 12.5 114.6 2.0 142 1,243 6.0 130

Merced, CA................................. 6.4 82.1 2.4 112 802 7.2 52

Monterey, CA............................... 13.5 204.0 0.7 265 891 7.7 33

Napa, CA..................................... 5.8 77.7 -0.8 328 1,016 6.2 117

Orange, CA.................................. 116.1 1,563.4 2.1 131 1,153 6.8 68

Placer, CA.................................... 12.5 158.4 4.9 6 1,040 5.4 187

Riverside, CA............................... 60.4 688.2 3.5 44 844 7.9 27

Sacramento, CA........................... 55.9 640.4 2.7 87 1,117 5.0 215

San Bernardino, CA..................... 56.4 706.2 2.6 96 881 7.8 30

San Diego, CA.............................. 107.6 1,415.6 2.2 125 1,130 4.9 226

San Francisco, CA....................... 60.1 709.5 3.1 58 1,892 8.6 20

San Joaquin, CA.......................... 17.4 244.1 1.8 164 875 5.0 215

San Luis Obispo, CA.................... 10.3 115.2 2.1 131 861 4.7 242

San Mateo, CA............................. 27.8 395.3 2.7 87 2,098 8.9 16

Santa Barbara, CA....................... 15.3 199.1 1.0 238 999 6.8 68

Santa Clara, CA........................... 70.9 1,052.5 2.7 87 2,260 9.0 15

Santa Cruz, CA............................ 9.5 107.0 2.9 74 936 5.3 198

Solano, CA................................... 11.1 136.9 2.0 142 1,054 7.2 52

Sonoma, CA................................. 19.7 206.0 2.1 131 993 6.3 108

Stanislaus, CA.............................. 15.0 189.4 3.3 51 887 5.8 152

Tulare, CA.................................... 10.1 163.0 1.6 183 744 8.1 24

Ventura, CA.................................. 26.3 316.7 0.6 273 1,019 6.5 90

Yolo, CA....................................... 6.6 103.2 1.4 203 1,114 7.7 33

Adams, CO................................... 10.5 201.2 3.4 46 1,016 6.8 68

Arapahoe, CO.............................. 21.5 322.6 1.8 164 1,200 7.1 56

Boulder, CO.................................. 14.8 178.2 2.7 87 1,216 4.6 247

Denver, CO.................................. 31.0 500.9 3.1 58 1,248 4.5 254

Douglas, CO................................. 11.6 117.1 2.5 105 1,118 7.0 59

El Paso, CO.................................. 18.7 267.9 3.2 54 934 6.5 90

Jefferson, CO............................... 20.6 234.4 1.8 164 1,046 5.4 187

Larimer, CO.................................. 11.6 156.4 4.3 14 938 5.4 187

Weld, CO...................................... 7.0 100.8 -0.3 316 912 5.6 168

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

Fairfield, CT................................. 35.2 424.3 0.2 300 $1,479 5.0 215

Hartford, CT.................................. 27.6 507.2 0.2 300 1,196 4.9 226

New Haven, CT............................ 23.8 363.4 0.6 273 1,063 4.0 286

New London, CT.......................... 7.4 123.2 0.5 283 1,016 7.6 39

New Castle, DE............................ 19.7 286.0 0.5 283 1,131 5.3 198

Washington, DC........................... 39.2 759.2 1.7 177 1,728 3.8 292

Alachua, FL.................................. 7.0 128.7 3.1 58 880 9.5 9

Bay, FL......................................... 5.5 77.4 0.9 250 754 5.0 215

Brevard, FL................................... 15.3 203.2 4.7 8 932 7.0 59

Broward, FL.................................. 68.0 781.2 2.5 105 951 5.8 152

Collier, FL..................................... 13.5 135.8 5.1 4 869 6.8 68

Duval, FL..................................... 28.6 490.3 3.4 46 967 6.4 100

Escambia, FL............................... 8.1 131.4 3.8 29 809 6.3 108

Hillsborough, FL........................... 40.9 666.3 3.7 34 993 8.4 21

Lake, FL....................................... 7.9 93.9 4.2 16 715 5.9 139

Lee, FL......................................... 21.3 247.6 4.5 12 806 5.4 187

Leon, FL....................................... 8.6 147.9 3.1 58 841 5.9 139

Manatee, FL................................. 10.4 116.1 2.7 87 816 10.7 2

Marion, FL.................................... 8.1 100.0 3.8 29 719 9.3 12

Miami-Dade, FL............................ 96.5 1,107.4 2.6 96 983 6.0 130

Okaloosa, FL................................ 6.3 82.2 2.9 74 855 4.8 233

Orange, FL................................... 40.6 797.1 3.2 54 904 6.0 130

Osceola, FL.................................. 6.6 89.1 3.8 29 707 5.5 177

Palm Beach, FL............................ 54.8 579.8 3.6 40 973 5.0 215

Pasco, FL..................................... 10.6 114.2 4.1 18 717 6.2 117

Pinellas, FL................................... 32.3 418.6 2.6 96 900 6.3 108

Polk, FL........................................ 12.9 210.0 3.2 54 783 5.7 160

Sarasota, FL................................ 15.5 162.6 2.9 74 838 7.9 27

Seminole, FL................................ 14.6 184.7 4.8 7 852 6.0 130

Volusia, FL................................... 13.9 169.2 4.7 8 727 4.3 269

Bibb, GA....................................... 4.5 81.7 1.8 164 790 4.1 279

Chatham, GA................................ 8.7 148.5 1.0 238 873 6.5 90

Clayton, GA.................................. 4.5 120.9 3.9 26 981 7.6 39

Cobb, GA...................................... 23.9 345.6 2.4 112 1,095 9.4 11

DeKalb, GA................................. 19.8 295.7 2.0 142 1,045 7.2 52

Fulton, GA.................................... 47.2 830.7 4.0 24 1,339 5.4 187

Gwinnett, GA................................ 27.1 345.0 3.0 69 980 3.5 304

Hall, GA....................................... 4.7 83.1 2.6 96 861 4.9 226

Muscogee, GA.............................. 5.0 92.7 0.1 305 814 6.5 90

Richmond, GA.............................. 4.8 104.4 1.2 226 887 7.5 41

Honolulu, HI.................................. 25.6 472.9 2.1 131 997 6.9 63

Ada, ID......................................... 14.9 229.3 4.2 16 905 7.2 52

Champaign, IL.............................. 4.3 90.4 -0.9 329 894 2.8 320

Cook, IL........................................ 152.8 2,577.2 1.2 226 1,159 4.5 254

DuPage, IL................................. 37.9 610.8 0.4 292 1,156 3.7 296

Kane, IL........................................ 13.7 209.9 0.2 300 930 7.0 59

Lake, IL........................................ 22.2 334.9 -0.5 321 1,279 -0.9 341

McHenry, IL.................................. 8.7 98.9 1.3 216 863 6.7 79

McLean, IL.................................... 3.8 83.5 -2.0 338 985 10.2 6

Madison, IL................................... 6.0 97.9 -1.4 335 807 2.0 329

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

Peoria, IL...................................... 4.6 100.8 -0.7 325 $975 7.5 41

St. Clair, IL.................................... 5.5 93.2 -0.7 325 821 4.6 247

Sangamon, IL............................... 5.2 129.9 -0.4 318 1,011 0.6 337

Will, IL.......................................... 16.1 231.4 1.5 195 919 7.7 33

Winnebago, IL.............................. 6.6 127.3 -1.2 333 863 6.9 63

Allen, IN........................................ 8.8 185.3 1.0 238 834 4.8 233

Elkhart, IN..................................... 4.7 128.5 3.1 58 869 10.3 4

Hamilton, IN.................................. 9.2 138.5 2.5 105 963 5.2 205

Lake, IN........................................ 10.3 190.0 1.0 238 877 4.2 275

Marion, IN..................................... 23.9 598.0 1.9 153 1,036 7.0 59

St. Joseph, IN............................... 5.7 124.7 1.8 164 834 4.8 233

Tippecanoe, IN............................. 3.4 83.8 1.4 203 870 4.8 233

Vanderburgh, IN........................... 4.8 108.3 1.6 183 822 5.0 215

Johnson, IA.................................. 4.1 83.9 2.1 131 970 5.8 152

Linn, IA......................................... 6.7 130.5 0.6 273 1,000 7.8 30

Polk, IA........................................ 17.1 296.9 2.9 74 1,040 5.9 139

Scott, IA........................................ 5.6 91.0 -0.4 318 843 5.5 177

Johnson, KS................................. 23.5 338.6 1.3 216 1,029 6.3 108

Sedgwick, KS............................... 12.8 248.5 0.6 273 884 6.5 90

Shawnee, KS................................ 5.2 98.5 1.7 177 839 7.3 47

Wyandotte, KS............................. 3.6 92.3 2.5 105 1,006 6.7 79

Boone, KY................................... 4.4 84.4 2.4 112 909 10.3 4

Fayette, KY................................... 10.9 194.3 2.2 125 917 4.7 242

Jefferson, KY................................ 25.4 465.3 3.0 69 1,007 7.8 30

Caddo, LA.................................... 7.2 113.5 -1.1 332 813 2.0 329

Calcasieu, LA............................... 5.2 94.2 1.2 226 920 4.7 242

East Baton Rouge, LA.................. 15.3 273.5 1.9 153 955 4.5 254

Jefferson, LA................................ 13.6 193.1 0.4 292 922 5.5 177

Lafayette, LA................................ 9.4 129.2 -5.6 343 892 -3.4 343

Orleans, LA.................................. 12.3 192.7 1.8 164 964 4.8 233

St. Tammany, LA.......................... 8.0 88.4 1.1 235 852 1.1 336

Cumberland, ME.......................... 13.7 180.4 1.4 203 937 9.3 12

Anne Arundel, MD........................ 15.0 269.1 1.9 153 1,083 3.8 292

Baltimore, MD............................... 21.2 374.6 0.7 265 1,032 5.8 152

Frederick, MD............................... 6.4 100.5 0.9 250 968 6.3 108

Harford, MD.................................. 5.8 92.4 1.6 183 1,008 8.4 21

Howard, MD................................. 10.0 169.1 1.6 183 1,259 6.6 87

Montgomery, MD.......................... 32.6 466.2 0.8 257 1,353 5.9 139

Prince George's, MD.................... 15.9 317.9 2.1 131 1,112 5.0 215

Baltimore City, MD....................... 13.6 338.7 0.9 250 1,209 3.9 289

Barnstable, MA............................. 9.4 101.8 0.5 283 856 5.7 160

Bristol, MA.................................... 17.3 224.7 1.2 226 916 3.9 289

Essex, MA.................................... 24.4 325.5 1.3 216 1,069 5.8 152

Hampden, MA.............................. 17.8 209.6 1.7 177 932 5.7 160

Middlesex, MA.............................. 53.9 889.4 1.6 183 1,555 9.8 8

Norfolk, MA................................... 24.9 349.8 1.8 164 1,144 4.1 279

Plymouth, MA............................... 15.5 191.6 1.7 177 944 3.7 296

Suffolk, MA................................... 28.3 665.9 3.6 40 1,660 6.1 125

Worcester, MA.............................. 24.4 342.6 2.0 142 1,018 5.2 205

Genesee, MI................................. 6.9 134.3 0.9 250 854 4.4 262

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

Ingham, MI................................... 6.0 151.3 2.7 87 $955 4.9 226

Kalamazoo, MI............................. 5.0 117.8 2.4 112 943 5.2 205

Kent, MI....................................... 14.3 390.8 3.0 69 908 4.2 275

Macomb, MI.................................. 17.7 322.7 1.4 203 1,022 7.7 33

Oakland, MI.................................. 39.3 727.5 2.4 112 1,124 5.9 139

Ottawa, MI.................................... 5.6 124.5 1.3 216 865 6.3 108

Saginaw, MI.................................. 4.0 85.3 0.2 300 832 7.5 41

Washtenaw, MI............................. 8.1 209.4 3.6 40 1,109 5.5 177

Wayne, MI.................................... 30.6 715.1 1.8 164 1,120 5.6 168

Anoka, MN.................................... 6.7 121.0 0.7 265 1,027 6.2 117

Dakota, MN.................................. 9.4 188.0 1.8 164 991 5.2 205

Hennepin, MN.............................. 39.9 912.2 2.4 112 1,277 6.2 117

Olmsted, MN................................ 3.3 96.2 1.2 226 1,151 3.7 296

Ramsey, MN................................. 12.7 331.1 0.8 257 1,162 8.9 16

St. Louis, MN................................ 5.1 98.2 0.1 305 874 4.9 226

Stearns, MN................................. 4.2 85.7 0.6 273 884 7.3 47

Washington, MN........................... 5.2 82.3 1.5 195 870 6.5 90

Harrison, MS................................ 4.5 85.5 1.9 153 713 2.1 327

Hinds, MS..................................... 5.9 120.7 0.3 297 873 5.6 168

Boone, MO................................... 4.8 93.5 1.5 195 833 4.8 233

Clay, MO...................................... 5.5 104.8 4.3 14 899 5.3 198

Greene, MO.................................. 8.5 164.7 1.8 164 802 5.9 139

Jackson, MO................................ 20.9 365.9 2.8 83 1,024 3.2 312

St. Charles, MO............................ 9.0 145.7 2.7 87 822 6.1 125

St. Louis, MO................................ 36.3 599.8 1.0 238 1,057 5.3 198

St. Louis City, MO........................ 13.2 228.7 1.0 238 1,104 5.7 160

Yellowstone, MT........................... 6.4 82.2 0.8 257 879 3.9 289

Douglas, NE................................. 19.3 338.7 1.6 183 983 5.4 187

Lancaster, NE............................... 10.3 170.0 1.4 203 845 6.0 130

Clark, NV..................................... 56.4 947.0 3.7 34 947 12.2 1

Washoe, NV................................. 15.0 214.8 5.0 5 932 6.2 117

Hillsborough, NH.......................... 12.3 200.4 1.4 203 1,137 10.4 3

Merrimack, NH............................. 5.1 77.2 1.9 153 954 7.3 47

Rockingham, NH.......................... 11.0 149.5 2.1 131 989 5.5 177

Atlantic, NJ................................... 6.5 128.6 1.0 238 843 2.9 318

Bergen, NJ................................... 32.8 446.6 0.5 283 1,180 3.8 292

Burlington, NJ............................... 10.9 203.3 2.6 96 1,044 5.0 215

Camden, NJ................................. 11.9 203.0 2.2 125 988 5.0 215

Essex, NJ.................................... 20.4 338.0 1.8 164 1,251 6.1 125

Gloucester, NJ.............................. 6.3 106.8 3.5 44 875 4.5 254

Hudson, NJ................................... 14.7 255.6 3.7 34 1,355 5.9 139

Mercer, NJ.................................... 11.1 245.8 1.8 164 1,335 7.1 56

Middlesex, NJ.............................. 22.0 418.1 2.8 83 1,191 4.1 279

Monmouth, NJ.............................. 20.1 259.4 1.5 195 975 4.5 254

Morris, NJ..................................... 16.9 285.8 0.0 308 1,478 6.8 68

Ocean, NJ.................................... 13.0 165.9 1.6 183 814 6.3 108

Passaic, NJ.................................. 12.3 166.4 1.3 216 996 5.8 152

Somerset, NJ............................... 10.0 184.5 1.9 153 1,482 2.4 325

Union, NJ..................................... 14.2 220.0 1.3 216 1,234 4.1 279

Bernalillo, NM............................... 18.3 327.2 2.0 142 890 5.6 168

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

Albany, NY................................... 10.4 233.5 1.6 183 $1,065 2.7 322

Bronx, NY..................................... 18.8 299.8 0.5 283 992 5.6 168

Broome, NY.................................. 4.6 87.4 0.9 250 808 7.4 44

Dutchess, NY............................... 8.5 111.5 0.7 265 979 5.4 187

Erie, NY........................................ 24.9 471.3 0.9 250 907 6.0 130

Kings, NY..................................... 62.0 688.1 4.1 18 866 4.1 279

Monroe, NY.................................. 19.1 384.9 0.6 273 974 4.6 247

Nassau, NY.................................. 54.4 627.2 2.1 131 1,092 2.8 320

New York, NY............................... 130.1 2,411.9 1.6 183 1,879 2.6 323

Oneida, NY................................... 5.4 105.0 0.8 257 794 6.9 63

Onondaga, NY.............................. 13.1 246.1 0.7 265 938 2.5 324

Orange, NY.................................. 10.5 141.6 2.2 125 860 6.2 117

Queens, NY.................................. 52.8 651.9 1.9 153 974 4.4 262

Richmond, NY.............................. 9.9 115.3 2.6 96 918 4.6 247

Rockland, NY............................... 10.8 122.9 2.1 131 987 -14.9 344

Saratoga, NY................................ 6.0 84.8 0.5 283 925 7.4 44

Suffolk, NY................................... 53.2 659.4 0.8 257 1,126 6.7 79

Westchester, NY.......................... 36.8 424.3 1.0 238 1,232 0.5 338

Buncombe, NC............................. 9.0 128.5 3.7 34 788 3.7 296

Catawba, NC................................ 4.4 86.1 4.1 18 783 5.5 177

Cumberland, NC........................... 6.2 118.8 0.7 265 813 6.7 79

Durham, NC................................. 8.1 195.3 1.6 183 1,265 3.3 310

Forsyth, NC.................................. 9.2 182.6 0.6 273 912 3.4 307

Guilford, NC.................................. 14.2 279.0 0.6 273 883 3.0 316

Mecklenburg, NC.......................... 37.1 669.0 4.4 13 1,175 5.4 187

New Hanover, NC........................ 7.9 110.8 2.7 87 820 6.2 117

Wake, NC..................................... 33.5 532.8 3.9 26 1,045 6.0 130

Cass, ND...................................... 7.1 118.6 1.4 203 950 4.3 269

Butler, OH..................................... 7.6 151.6 2.5 105 905 6.5 90

Cuyahoga, OH.............................. 35.6 720.4 0.8 257 1,025 4.2 275

Delaware, OH............................... 5.1 86.0 2.9 74 979 6.3 108

Franklin, OH................................. 31.5 741.4 2.8 83 1,040 6.4 100

Hamilton, OH................................ 23.7 513.2 1.5 195 1,095 4.3 269

Lake, OH...................................... 6.3 94.4 -0.5 321 834 4.8 233

Lorain, OH.................................... 6.2 97.2 0.9 250 811 4.5 254

Lucas, OH.................................... 10.1 210.1 1.0 238 901 6.9 63

Mahoning, OH.............................. 5.9 98.7 0.0 308 734 4.3 269

Montgomery, OH.......................... 11.9 253.6 1.3 216 883 5.6 168

Stark, OH..................................... 8.6 158.2 -0.1 312 770 4.2 275

Summit, OH................................. 14.2 267.8 1.2 226 909 4.0 286

Warren, OH................................. 4.8 91.2 1.5 195 948 6.9 63

Cleveland, OK.............................. 5.6 80.7 0.1 305 763 6.7 79

Oklahoma, OK.............................. 27.7 446.8 -1.4 335 967 3.4 307

Tulsa, OK..................................... 22.0 348.8 -0.6 324 934 3.5 304

Clackamas, OR............................ 14.5 159.1 2.4 112 971 5.1 211

Jackson, OR................................ 7.2 87.3 2.6 96 798 4.7 242

Lane, OR...................................... 11.9 153.0 3.1 58 813 5.3 198

Marion, OR................................... 10.4 153.8 2.3 123 836 6.1 125

Multnomah, OR............................ 33.9 493.4 2.5 105 1,073 6.6 87

Washington, OR........................... 18.9 283.8 3.1 58 1,327 3.2 312

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

Allegheny, PA............................... 35.8 690.8 0.5 283 $1,098 4.6 247

Berks, PA..................................... 9.0 171.8 0.4 292 947 9.2 14

Bucks, PA..................................... 20.0 261.4 2.0 142 960 5.5 177

Butler, PA..................................... 5.0 85.2 -0.1 312 947 3.0 316

Chester, PA.................................. 15.5 250.2 1.7 177 1,228 1.8 332

Cumberland, PA........................... 6.4 133.0 1.1 235 929 5.6 168

Dauphin, PA................................ 7.6 180.2 0.6 273 1,036 7.7 33

Delaware, PA............................... 14.1 220.4 1.4 203 1,065 5.2 205

Erie, PA........................................ 7.0 124.0 -1.6 337 791 1.9 331

Lackawanna, PA.......................... 5.8 97.9 0.8 257 793 5.9 139

Lancaster, PA............................... 13.4 236.4 2.4 112 862 5.6 168

Lehigh, PA.................................... 8.8 187.9 1.3 216 1,004 6.8 68

Luzerne, PA.................................. 7.5 144.5 1.2 226 825 5.9 139

Montgomery, PA........................... 27.6 485.3 1.4 203 1,234 6.4 100

Northampton, PA.......................... 6.8 113.1 3.6 40 887 4.7 242

Philadelphia, PA........................... 35.0 671.5 3.2 54 1,226 5.5 177

Washington, PA............................ 5.5 85.8 -2.2 340 973 3.3 310

Westmoreland, PA....................... 9.3 133.4 -1.0 331 827 4.9 226

York, PA....................................... 9.1 177.6 0.7 265 900 5.9 139

Providence, RI.............................. 17.6 285.6 0.5 283 1,046 8.7 18

Charleston, SC............................. 14.6 243.7 3.7 34 916 4.4 262

Greenville, SC.............................. 13.6 262.2 1.9 153 898 4.3 269

Horry, SC..................................... 8.5 124.7 3.1 58 632 5.5 177

Lexington, SC............................... 6.4 115.7 2.0 142 791 7.3 47

Richland, SC................................ 9.9 219.0 2.0 142 885 6.0 130

Spartanburg, SC........................... 6.1 133.0 3.7 34 861 5.9 139

York, SC....................................... 5.3 89.8 6.0 1 830 8.2 23

Minnehaha, SD............................. 7.1 125.0 1.5 195 907 6.8 68

Davidson, TN................................ 21.5 479.1 4.6 11 1,058 2.3 326

Hamilton, TN................................ 9.3 198.4 1.9 153 897 3.6 302

Knox, TN...................................... 11.9 237.4 2.1 131 887 6.2 117

Rutherford, TN.............................. 5.3 119.3 3.8 29 917 7.9 27

Shelby, TN.................................... 20.1 491.9 1.2 226 1,045 6.7 79

Williamson, TN............................. 8.3 124.7 5.8 2 1,154 5.7 160

Bell, TX......................................... 5.3 116.3 0.0 308 868 5.7 160

Bexar, TX..................................... 39.9 846.6 2.4 112 914 4.6 247

Brazoria, TX................................. 5.6 106.1 1.9 153 1,045 5.3 198

Brazos, TX.................................... 4.4 101.3 0.8 257 772 5.8 152

Cameron, TX................................ 6.5 138.4 2.2 125 636 4.3 269

Collin, TX...................................... 23.5 381.5 3.8 29 1,191 5.9 139

Dallas, TX..................................... 74.9 1,662.8 3.1 58 1,239 6.8 68

Denton, TX.................................. 14.1 228.8 3.4 46 954 6.8 68

El Paso, TX.................................. 14.7 299.3 2.4 112 728 4.4 262

Fort Bend, TX............................... 12.5 174.2 2.1 131 951 0.3 339

Galveston, TX............................... 6.1 108.0 4.1 18 896 5.4 187

Gregg, TX..................................... 4.2 74.0 -3.4 342 858 1.2 335

Harris, TX..................................... 112.9 2,262.3 -0.9 329 1,267 2.1 327

Hidalgo, TX................................... 12.2 248.5 1.8 164 654 4.8 233

Jefferson, TX................................ 5.8 122.3 -0.2 315 1,061 5.7 160

Lubbock, TX................................. 7.5 137.0 1.4 203 811 4.0 286

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 345 largest counties,

third quarter 2016 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-163

Ranking by

percent

change

Third

quarter

2016

Percent

change,

third quarter

2015-163

Ranking by

percent

change

McLennan, TX.............................. 5.2 111.4 2.6 96 $850 7.7 33

Midland, TX.................................. 5.4 83.0 -5.8 344 1,176 -0.3 340

Montgomery, TX........................... 10.8 168.4 1.0 238 1,007 4.1 279

Nueces, TX.................................. 8.3 161.6 -0.5 321 893 4.1 279

Potter, TX..................................... 4.0 78.9 0.0 308 831 3.1 315

Smith, TX..................................... 6.1 102.6 1.3 216 849 5.3 198

Tarrant, TX................................... 41.9 860.4 2.4 112 1,029 6.6 87

Travis, TX..................................... 39.0 710.0 2.9 74 1,174 5.1 211

Webb, TX..................................... 5.3 99.1 2.2 125 680 2.9 318

Williamson, TX............................. 10.1 158.7 4.1 18 1,009 6.8 68

Davis, UT..................................... 8.2 123.2 4.1 18 831 5.7 160

Salt Lake, UT................................ 43.6 676.2 3.9 26 993 6.5 90

Utah, UT....................................... 15.2 223.1 5.3 3 825 7.4 44

Weber, UT.................................... 5.9 103.0 2.9 74 784 5.9 139

Chittenden, VT............................. 6.7 102.1 0.2 300 996 6.8 68

Arlington, VA................................ 9.5 173.0 1.3 216 1,648 3.8 292

Chesterfield, VA........................... 8.9 132.4 -0.1 312 877 5.4 187

Fairfax, VA.................................... 37.6 598.1 1.7 177 1,546 5.6 168

Henrico, VA.................................. 11.6 190.0 1.0 238 992 5.0 215

Loudoun, VA................................ 12.1 160.3 3.1 58 1,155 3.5 304

Prince William, VA........................ 9.3 125.5 1.6 183 913 6.5 90

Alexandria City, VA...................... 6.6 94.3 -0.7 325 1,447 5.0 215

Chesapeake City, VA................... 6.0 97.2 -0.4 318 812 6.4 100

Newport News City, VA................ 3.9 96.0 -2.1 339 995 3.6 302

Norfolk City, VA........................... 5.9 140.9 0.3 297 1,030 3.4 307

Richmond City, VA....................... 7.8 153.7 1.4 203 1,124 3.2 312

Virginia Beach City, VA................ 12.2 176.8 1.1 235 792 3.7 296

Benton, WA.................................. 5.7 86.9 2.5 105 1,042 8.1 24

Clark, WA..................................... 14.3 150.6 2.8 83 971 6.1 125

King, WA...................................... 85.7 1,331.3 3.3 51 1,582 8.1 24

Kitsap, WA.................................... 6.6 85.9 0.4 292 981 6.4 100

Pierce, WA................................... 21.7 299.9 4.0 24 951 5.5 177

Snohomish, WA............................ 20.6 284.9 2.0 142 1,108 5.4 187

Spokane, WA............................... 15.6 217.6 3.4 46 883 4.4 262

Thurston, WA............................... 8.1 112.0 4.7 8 949 3.7 296

Whatcom, WA.............................. 7.2 88.3 3.1 58 844 5.1 211

Yakima, WA................................. 7.7 124.0 2.7 87 712 4.4 262

Kanawha, WV............................... 5.9 101.5 -1.3 334 890 6.5 90

Brown, WI..................................... 6.7 154.6 1.5 195 904 6.7 79

Dane, WI...................................... 15.0 330.7 2.6 96 1,032 10.1 7

Milwaukee, WI.............................. 25.6 487.0 0.5 283 970 4.5 254

Outagamie, WI............................. 5.2 107.0 1.4 203 875 4.8 233

Waukesha, WI.............................. 12.8 239.0 0.4 292 1,006 5.2 205

Winnebago, WI............................. 3.7 93.1 2.0 142 924 4.4 262

San Juan, PR............................... 10.8 245.0 -1.4 (5) 634 2.8 (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 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 344 U.S. counties comprise 72.5 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

third quarter 2016

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-162

Third

quarter

2016

Percent

change,

third quarter

2015-162

United States3................................................................. 9,800.8 142,940.5 1.7 $1,027 5.4

 Private industry............................................................. 9,501.7 121,392.9 1.8 1,019 5.7

 Natural resources and mining.................................... 137.6 1,963.4 -5.7 1,020 -0.8

 Construction............................................................... 780.3 6,898.0 3.4 1,143 5.5

 Manufacturing............................................................ 345.2 12,317.5 -0.6 1,242 6.2

 Trade, transportation, and utilities.............................. 1,922.9 26,939.5 1.1 867 5.6

 Information................................................................. 157.8 2,792.9 1.0 1,927 8.4

 Financial activities...................................................... 859.7 7,973.7 1.7 1,530 6.0

 Professional and business services........................... 1,766.7 20,200.9 2.2 1,308 5.3

 Education and health services................................... 1,590.0 21,741.6 2.8 958 6.0

 Leisure and hospitality............................................... 822.8 15,811.2 2.4 441 6.8

 Other services............................................................ 835.9 4,390.8 1.7 705 6.0

 Government.................................................................. 299.1 21,547.5 1.2 1,077 4.6

Los Angeles, CA.............................................................. 472.3 4,357.4 1.6 1,132 5.8

 Private industry............................................................. 466.1 3,793.2 1.7 1,096 6.4

 Natural resources and mining.................................... 0.5 8.7 0.0 1,406 4.8

 Construction............................................................... 13.9 134.1 3.9 1,192 5.5

 Manufacturing............................................................ 12.4 353.8 -3.2 1,287 6.7

 Trade, transportation, and utilities.............................. 53.7 811.3 0.5 936 7.6

 Information................................................................. 9.6 224.5 0.3 1,981 9.1

 Financial activities...................................................... 25.3 217.1 0.4 1,789 4.5

 Professional and business services........................... 47.6 603.8 2.0 1,338 4.4

 Education and health services................................... 216.2 749.5 2.1 898 9.5

 Leisure and hospitality............................................... 32.1 508.7 2.8 633 6.7

 Other services............................................................ 27.0 147.2 0.3 743 8.6

 Government.................................................................. 6.2 564.2 1.3 1,383 2.4

Cook, IL........................................................................... 152.8 2,577.2 1.2 1,159 4.5

 Private industry............................................................. 151.5 2,279.3 1.2 1,166 4.9

 Natural resources and mining.................................... 0.1 1.2 5.7 1,194 -1.6

 Construction............................................................... 12.2 75.7 2.5 1,451 1.8

 Manufacturing............................................................ 6.3 184.8 -1.3 1,250 7.3

 Trade, transportation, and utilities.............................. 29.8 472.5 0.5 946 4.8

 Information................................................................. 2.7 52.6 -0.9 1,752 7.4

 Financial activities...................................................... 15.1 193.0 0.9 2,013 4.9

 Professional and business services........................... 32.3 476.5 0.6 1,462 3.0

 Education and health services................................... 16.3 439.3 2.2 1,016 8.1

 Leisure and hospitality............................................... 14.1 282.9 3.6 547 7.5

 Other services............................................................ 17.3 95.9 0.3 919 4.9

 Government.................................................................. 1.3 297.9 0.9 1,107 2.2

New York, NY.................................................................. 130.1 2,411.9 1.6 1,879 2.6

 Private industry............................................................. 129.2 2,148.9 1.7 1,946 2.7

 Natural resources and mining.................................... 0.0 0.2 1.2 1,896 1.3

 Construction............................................................... 2.2 41.2 3.6 1,876 4.7

 Manufacturing............................................................ 2.1 26.5 -3.1 1,343 -0.3

 Trade, transportation, and utilities.............................. 19.5 253.0 -2.3 1,352 5.9

 Information................................................................. 4.9 155.6 1.8 2,613 0.5

 Financial activities...................................................... 19.2 368.6 0.2 3,373 2.6

 Professional and business services........................... 27.5 556.9 2.6 2,178 2.6

 Education and health services................................... 9.8 337.0 2.8 1,341 2.4

 Leisure and hospitality............................................... 13.7 293.6 1.8 896 5.5

 Other services............................................................ 20.3 101.6 0.9 1,167 6.1

 Government.................................................................. 0.8 263.0 0.0 1,319 0.1

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

third quarter 2016 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-162

Third

quarter

2016

Percent

change,

third quarter

2015-162

Harris, TX........................................................................ 112.9 2,262.3 -0.9 $1,267 2.1

 Private industry............................................................. 112.3 1,990.6 -1.4 1,281 2.2

 Natural resources and mining.................................... 1.8 73.7 -15.6 3,173 5.2

 Construction............................................................... 7.2 160.8 -1.8 1,354 4.2

 Manufacturing............................................................ 4.8 167.9 -9.5 1,576 6.5

 Trade, transportation, and utilities.............................. 25.0 462.7 -1.2 1,137 5.1

 Information................................................................. 1.2 27.1 0.7 1,437 2.3

 Financial activities...................................................... 11.7 123.8 1.9 1,591 2.3

 Professional and business services........................... 23.0 386.5 -2.3 1,569 1.9

 Education and health services................................... 15.6 291.7 3.7 1,041 3.1

 Leisure and hospitality............................................... 9.7 229.7 3.2 464 5.7

 Other services............................................................ 11.7 65.5 0.1 797 0.6

 Government.................................................................. 0.6 271.7 2.6 1,166 1.7

Maricopa, AZ.................................................................... 95.0 1,885.6 3.4 996 7.1

 Private industry............................................................. 94.2 1,673.1 3.7 985 6.7

 Natural resources and mining.................................... 0.4 7.5 0.9 936 1.4

 Construction............................................................... 6.8 103.6 6.0 1,048 8.4

 Manufacturing............................................................ 3.1 115.3 -0.8 1,405 7.6

 Trade, transportation, and utilities.............................. 18.5 366.1 1.8 900 5.4

 Information................................................................. 1.5 34.0 0.5 1,498 21.2

 Financial activities...................................................... 10.7 168.9 5.9 1,281 7.5

 Professional and business services........................... 20.6 325.4 4.0 1,055 5.3

 Education and health services................................... 10.6 285.1 3.6 1,011 6.9

 Leisure and hospitality............................................... 7.4 205.2 3.5 473 8.7

 Other services............................................................ 6.0 49.8 1.1 715 7.2

 Government.................................................................. 0.7 212.6 1.5 1,086 9.6

Dallas, TX........................................................................ 74.9 1,662.8 3.1 1,239 6.8

 Private industry............................................................. 74.4 1,489.3 3.3 1,245 7.0

 Natural resources and mining.................................... 0.6 8.6 -8.3 3,515 -0.2

 Construction............................................................... 4.4 86.0 5.2 1,236 8.1

 Manufacturing............................................................ 2.7 108.9 0.1 1,472 14.1

 Trade, transportation, and utilities.............................. 16.0 338.5 3.2 1,149 9.0

 Information................................................................. 1.3 49.4 2.8 1,813 3.8

 Financial activities...................................................... 9.2 159.3 3.7 1,659 5.9

 Professional and business services........................... 16.8 339.2 3.4 1,426 6.7

 Education and health services................................... 9.3 196.0 4.2 1,094 3.8

 Leisure and hospitality............................................... 6.6 160.4 3.9 509 7.4

 Other services............................................................ 7.0 42.2 1.2 821 8.2

 Government.................................................................. 0.6 173.5 1.4 1,182 5.0

Orange, CA...................................................................... 116.1 1,563.4 2.1 1,153 6.8

 Private industry............................................................. 114.6 1,418.5 2.0 1,139 6.9

 Natural resources and mining.................................... 0.2 2.9 -2.6 918 10.6

 Construction............................................................... 6.7 97.2 3.5 1,317 7.5

 Manufacturing............................................................ 4.9 155.9 -0.5 1,398 6.2

 Trade, transportation, and utilities.............................. 16.9 255.8 -0.4 1,021 8.0

 Information................................................................. 1.3 25.6 2.5 1,922 12.7

 Financial activities...................................................... 11.0 116.3 0.5 1,778 6.1

 Professional and business services........................... 20.5 295.3 2.3 1,364 5.7

 Education and health services................................... 30.1 200.2 2.8 977 8.8

 Leisure and hospitality............................................... 8.4 212.7 2.7 515 10.0

 Other services............................................................ 6.9 45.9 2.5 723 8.4

 Government.................................................................. 1.5 144.9 3.1 1,301 4.8

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

third quarter 2016 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-162

Third

quarter

2016

Percent

change,

third quarter

2015-162

San Diego, CA................................................................ 107.6 1,415.6 2.2 $1,130 4.9

 Private industry............................................................. 105.7 1,185.5 2.0 1,084 4.8

 Natural resources and mining.................................... 0.7 9.5 -2.4 723 14.0

 Construction............................................................... 6.7 76.6 5.4 1,213 8.4

 Manufacturing............................................................ 3.2 107.0 -0.6 1,578 9.8

 Trade, transportation, and utilities.............................. 14.2 217.4 -0.5 862 4.9

 Information................................................................. 1.2 23.3 -0.8 1,930 8.7

 Financial activities...................................................... 9.7 72.1 2.2 1,438 7.1

 Professional and business services........................... 18.1 232.1 1.0 1,526 -0.3

 Education and health services................................... 29.7 192.9 2.5 978 8.7

 Leisure and hospitality............................................... 8.0 194.4 3.7 506 4.8

 Other services............................................................ 7.4 51.3 0.7 632 8.8

 Government.................................................................. 1.9 230.1 3.1 1,378 5.1

King, WA......................................................................... 85.7 1,331.3 3.3 1,582 8.1

 Private industry............................................................. 85.2 1,165.9 3.4 1,615 8.6

 Natural resources and mining.................................... 0.4 3.2 4.0 1,208 3.0

 Construction............................................................... 6.4 69.2 7.1 1,365 8.5

 Manufacturing............................................................ 2.5 104.1 -3.7 1,615 3.1

 Trade, transportation, and utilities.............................. 14.5 253.9 4.7 1,392 17.8

 Information................................................................. 2.2 98.1 8.1 4,960 3.1

 Financial activities...................................................... 6.5 68.1 3.1 1,655 6.2

 Professional and business services........................... 17.2 220.9 2.1 1,668 8.3

 Education and health services................................... 19.4 166.9 4.6 1,051 8.5

 Leisure and hospitality............................................... 7.1 137.5 3.3 588 8.1

 Other services............................................................ 9.0 43.9 2.7 907 11.4

 Government.................................................................. 0.5 165.4 2.1 1,348 3.9

Miami-Dade, FL............................................................... 96.5 1,107.4 2.6 983 6.0

 Private industry............................................................. 96.2 969.7 2.7 957 5.3

 Natural resources and mining.................................... 0.5 7.6 9.4 643 13.0

 Construction............................................................... 6.2 44.3 9.6 969 4.1

 Manufacturing............................................................ 2.9 40.4 2.0 977 14.1

 Trade, transportation, and utilities.............................. 26.3 276.9 0.4 896 5.9

 Information................................................................. 1.5 17.8 0.6 1,781 22.1

 Financial activities...................................................... 10.4 74.0 0.7 1,484 4.4

 Professional and business services........................... 21.2 154.8 3.7 1,114 3.2

 Education and health services................................... 10.3 174.3 3.2 979 2.1

 Leisure and hospitality............................................... 7.2 138.4 4.1 592 7.2

 Other services............................................................ 8.2 39.8 2.7 628 6.1

 Government.................................................................. 0.3 137.8 1.9 1,172 10.9

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 2015 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,

third quarter 2016

Employment Average weekly wage 1

State

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-16

Third

quarter

2016

Percent

change,

third quarter

2015-16

United States2.......................................... 9,800.8 142,940.5 1.7 $1,027 5.4

Alabama.................................................... 122.7 1,923.8 1.5 870 4.9

Alaska........................................................ 22.3 337.4 -2.6 1,055 1.2

Arizona...................................................... 154.6 2,695.5 3.1 950 6.9

Arkansas................................................... 89.1 1,205.4 1.0 794 5.2

California................................................... 1,493.8 16,871.1 2.4 1,210 6.7

Colorado.................................................... 193.5 2,576.5 2.6 1,062 5.6

Connecticut............................................... 117.5 1,674.2 0.3 1,204 5.0

Delaware................................................... 31.7 440.7 0.8 1,022 5.6

District of Columbia................................... 39.2 759.2 1.7 1,728 3.8

Florida....................................................... 664.8 8,320.2 3.7 905 6.2

Georgia...................................................... 302.2 4,290.4 2.9 969 5.9

Hawaii........................................................ 40.5 648.4 1.8 956 6.7

Idaho......................................................... 58.9 703.7 3.5 782 6.3

Illinois........................................................ 405.1 5,933.6 0.6 1,062 4.4

Indiana....................................................... 162.2 3,025.9 1.8 866 5.9

Iowa........................................................... 101.6 1,548.6 0.8 873 6.2

Kansas...................................................... 90.6 1,377.2 0.5 857 5.9

Kentucky.................................................... 123.6 1,880.2 1.5 857 6.5

Louisiana................................................... 129.0 1,908.8 -0.9 883 2.9

Maine......................................................... 53.3 616.2 0.9 825 5.9

Maryland.................................................... 168.7 2,648.1 1.4 1,124 5.3

Massachusetts.......................................... 246.1 3,522.9 2.0 1,277 6.8

Michigan.................................................... 242.3 4,292.2 2.1 976 5.9

Minnesota.................................................. 162.7 2,849.5 1.6 1,053 6.4

Mississippi................................................. 73.7 1,126.9 0.7 739 4.7

Missouri..................................................... 193.7 2,782.1 1.6 888 5.0

Montana.................................................... 46.2 464.5 1.5 792 4.3

Nebraska................................................... 73.2 973.9 0.9 857 5.5

Nevada...................................................... 82.6 1,300.7 3.8 949 10.1

New Hampshire......................................... 52.0 655.0 1.8 1,027 7.9

New Jersey............................................... 267.7 4,000.0 1.8 1,173 5.0

New Mexico............................................... 58.4 811.5 0.2 830 4.0

New York.................................................. 646.8 9,216.6 1.6 1,222 3.5

North Carolina........................................... 268.4 4,290.3 2.3 909 5.3

North Dakota............................................. 32.1 423.2 -3.4 964 0.7

Ohio........................................................... 293.9 5,347.3 1.1 924 5.4

Oklahoma.................................................. 109.4 1,578.7 -1.3 854 3.5

Oregon...................................................... 148.4 1,866.5 2.6 970 5.2

Pennsylvania............................................. 356.6 5,776.7 1.0 1,013 5.4

Rhode Island............................................. 37.0 481.1 0.8 990 7.6

South Carolina.......................................... 125.0 2,008.6 2.5 832 5.6

South Dakota............................................ 33.0 424.2 1.1 809 7.0

Tennessee................................................. 154.0 2,918.8 2.5 912 5.4

Texas......................................................... 657.1 11,830.7 1.3 1,042 4.3

Utah........................................................... 96.8 1,407.4 3.8 881 6.3

Vermont..................................................... 25.1 309.9 0.5 880 6.2

Virginia...................................................... 267.0 3,801.0 1.0 1,063 5.0

Washington............................................... 238.5 3,278.9 3.0 1,188 6.9

West Virginia............................................. 50.6 691.5 -1.6 816 3.9

Wisconsin.................................................. 171.2 2,850.1 1.0 885 6.2

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

third quarter 2016 - Continued

Employment Average weekly wage 1

State

Establishments,

third quarter

2016

(thousands)

September

2016

(thousands)

Percent

change,

September

2015-16

Third

quarter

2016

Percent

change,

third quarter

2015-16

Wyoming................................................... 26.3 274.8 -4.7 $865 0.0

Puerto Rico............................................... 46.0 888.2 -0.4 524 2.3

Virgin Islands............................................ 3.4 37.4 1.4 778 5.9

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,

September 2015-16 (U.S. average = 1.7 percent)

Higher than U.S. average

U.S. average or lower

Source: Bureau of Labor Statistics
Chart 4. Percent change in average weekly wage in counties with 75,000 or more

employees, third quarter 2015-16 (U.S. average = 5.4 percent)

Higher than U.S. average

U.S. average or lower

Source: Bureau of Labor Statistics