For release 10:00 a.m. (EST), Wednesday, November 20, 2019 USDL-19-2050 

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

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

COUNTY EMPLOYMENT AND WAGES – SECOND QUARTER 2019 

From June 2018 to June 2019, employment increased in 279 of the 355 largest U.S. counties, the 

U.S. Bureau of Labor Statistics reported today. In June 2019, national employment (as measured 

by the QCEW program) increased to 149.1 million, a 1.1 percent increase over the year. Adams, 

CO, had the largest over-the-year increase in employment with a gain of 5.3 percent.

Employment data in this release are presented for June 2019, and average weekly wage data are 

presented for second quarter 2019. 

Among the 355 largest counties, 347 had over-the-year increases in average weekly wages. In 

the second quarter of 2019, average weekly wages for the nation increased to $1,095, a 3.8 

percent increase over the year. Benton, AR, had the largest second quarter over-the-year wage 

gain at 16.3 percent. (See table 1.) 

Chart 1. Percent change in employment, June 2018 to June 2019, by largest gains and losses 

-7.0% -5.0% -3.0% -1.0% 1.0% 3.0% 5.0%

Bay, FL

Butte, CA

Elkhart, IN

Peoria, IL

Maui + Kalawao, HI

Kanawha, WV

Davidson, TN

York, SC

St. Lucie, FL

Weld, CO

San Francisco, CA

Warren, OH

Denton, TX

Osceola, FL

Durham, NC

Utah, UT

Williamson, TX

Richmond, NY

Adams, CO
- 2 - 

Large County Employment in June 2019 

Adams, CO, had the largest over-the-year percentage increase in employment (5.3 percent). 

Within Adams, the largest employment increase occurred in trade, transportation, and utilities, 

which gained 3,592 jobs over the year (6.4 percent).

Bay, FL, experienced the largest over-the-year percentage decrease in employment, with a loss

of 6.4 percent. Within Bay, leisure and hospitality had the largest employment decrease with a 

loss of 2,572 jobs (-15.5 percent). 

Large County Average Weekly Wage in Second Quarter 2019 

Benton, AR, had the largest over-the-year percentage increase in average weekly wages (16.3 

percent). Within Benton, an average weekly wage gain of $557 (35.0 percent) in professional 

and business services made the largest contribution to the county’s increase in average weekly 

wages. 

McLean, IL, had the largest over-the-year percentage decrease in average weekly wages with a 

loss of 5.8 percent. Within McLean, financial activities had the largest impact, with an average 

weekly wage decrease of $321 (-17.8 percent) over the year.

Chart 2. Percent change in average weekly wage, second quarter 2018 to second quarter 2019, by 

largest gains and losses 

-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0%

McLean, IL

Shawnee, KS

Lake, IL

Marin, CA

Elkhart, IN

Benton, WA

Dane, WI

Galveston, TX

King, WA

Solano, CA

Warren, OH

Winnebago, WI

Bay, FL

San Francisco, CA

Benton, AR
- 3 - 

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage increases in employment and average 

weekly wages. In June 2019, Maricopa, AZ, had the largest over-the-year employment 

percentage gain among the 10 largest counties (3.1 percent). Within Maricopa, education and 

health services had the largest employment increase with a gain of 12,096 jobs (4.0 percent). 

(See table 2.)

In second quarter 2019, King, WA, experienced the largest over-the-year percentage gain in 

average weekly wages among the 10 largest counties (6.6 percent). Within King, information had 

the largest impact, with an average weekly wage increase of $378 (11.1 percent) over the year. 

For More Information 

The tables and charts included in this release contain data for the nation and for the 355 U.S. 

counties with annual average employment levels of 75,000 or more in 2018. June 2019 

employment and second quarter 2019 average weekly wages for all states are provided in table 3 

of this release.

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/regional-resources.htm. 

QCEW data are available in the Census Business Builder suite of web tools assisting business 

owners and regional analysts in data-driven decision making at www.census.gov/data/datatools/cbb.html. 

QCEW’s news release schedule is available at www.bls.gov/cew/release-calendar.htm. 

____________ 

The County Employment and Wages full data update for second quarter 2019 is scheduled

to be released on Wednesday, December 4, 2019, at 10:00 a.m. (EST). 

The County Employment and Wages news release for third quarter 2019 is scheduled to be 

released on Thursday, February 20, 2020, at 10:00 a.m. (EST). 
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 2017 North American Industry 

Classification System (NAICS). Data for 2019 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, PR, 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 356 counties presented in 

this release were derived using 2018 preliminary annual averages 

of employment. For 2019 data, six counties have been added to the 

publication tables: St. Johns, FL; St. Lucie, FL; Forsyth, GA; 

Greene, OH; Ector, TX; and Racine, WI. These counties will be

included in all 2019 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 10.2 million establishments in first quarter of 2019 

Count of longitudinally-linked UI administrative records submitted by 8.2 

million private-sector employers

Sample survey: 689,000 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 5 months after the end of 

each quarter

Quarterly

— 7 months after the end of each 

quarter

Monthly

— Usually the 3rd Friday after the end 

of the week including the 12th of the 

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 federal 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: QCEW, Business Employment 

Dynamics (BED), and Current Employment Statistics (CES). Each of 

these measures 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 10.0 million employer 

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

2018. 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 2018, UI and 

UCFE programs covered workers in 146.1 million jobs. The estimated 

140.5 million workers in these jobs (after adjustment for multiple jobholders) represented 96.2 percent of civilian wage and salary employment. Covered workers received $8.368 trillion in pay, representing 

94.2 percent of the wage and salary component of personal income 

and 40.7 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 that reflect economic events or 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 2018 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 eliminate the effect of 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 2018 edition of this 

publication, which was published in September 2019, contains selected data produced by Business Employment Dynamics (BED) on 

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

2019 version of this news release. Tables and additional content from

the 2018 edition of Employment and Wages Annual Averages Online 

are now available at www.bls.gov/cew/publications/employmentand-wages-annual-averages/2018/home.htm. The 2019 edition of 

Employment and Wages Annual Averages Online will be available in 

September 2020. 

News releases on quarterly measures of gross job flows also are 

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

data.bls.gov/cgi-bin/forms/bdm.

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 356 largest counties,

second quarter 2019

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

United States4.............................. 10,252.0 149,089.2 1.1 - $1,095 3.8 -

Jefferson, AL................................ 19.2 354.6 0.8 184 1,062 2.6 258

Madison, AL................................. 10.0 205.9 2.3 54 1,153 4.7 53

Mobile, AL.................................... 10.3 172.0 0.4 236 904 3.3 187

Montgomery, AL........................... 6.4 131.5 -0.5 317 891 3.6 156

Shelby, AL.................................... 5.9 85.5 -0.2 298 1,013 3.1 210

Tuscaloosa, AL............................. 4.6 96.1 2.9 26 883 2.7 253

Anchorage, AK............................. 8.3 150.3 -0.3 308 1,143 3.4 176

Maricopa, AZ................................ 105.5 2,010.9 3.1 17 1,056 3.8 133

Pima, AZ....................................... 19.3 370.6 1.0 160 917 3.7 148

Benton, AR................................... 6.8 122.3 1.6 102 1,197 16.3 1

Pulaski, AR................................... 14.6 254.0 0.7 197 949 3.2 200

Washington, AR........................... 6.3 109.6 0.9 174 904 4.0 110

Alameda, CA................................ 65.7 797.9 0.4 236 1,495 5.7 15

Butte, CA..................................... 8.6 81.2 -3.4 354 843 5.8 12

Contra Costa, CA......................... 33.7 372.3 0.1 269 1,332 4.6 66

Fresno, CA................................... 37.6 406.8 1.3 131 875 5.7 15

Kern, CA....................................... 20.9 334.4 1.9 78 912 4.7 53

Los Angeles, CA........................... 508.5 4,495.1 1.1 150 1,225 4.2 95

Marin, CA..................................... 12.6 117.6 0.6 209 1,393 -2.0 352

Merced, CA................................. 6.8 83.2 1.9 78 810 2.4 272

Monterey, CA............................... 14.3 214.8 1.1 150 925 2.3 280

Napa, CA..................................... 6.0 82.3 1.4 120 1,086 4.3 87

Orange, CA.................................. 126.3 1,656.4 1.6 102 1,193 2.9 232

Placer, CA.................................... 13.8 173.2 2.0 69 1,082 3.6 156

Riverside, CA............................... 68.3 759.8 2.3 54 880 3.3 187

Sacramento, CA........................... 61.1 677.9 1.8 84 1,185 3.9 123

San Bernardino, CA..................... 62.8 768.4 2.0 69 922 4.8 48

San Diego, CA.............................. 115.5 1,491.0 1.2 140 1,189 4.7 53

San Francisco, CA....................... 61.8 761.0 3.4 9 2,430 15.5 2

San Joaquin, CA.......................... 18.6 260.2 2.5 42 933 5.3 25

San Luis Obispo, CA.................... 10.6 122.4 1.9 78 950 4.7 53

San Mateo, CA............................. 29.0 416.7 2.6 36 2,373 1.1 338

Santa Barbara, CA....................... 15.8 210.5 2.4 45 1,050 1.7 327

Santa Clara, CA........................... 74.9 1,123.2 1.8 84 2,612 1.5 333

Santa Cruz, CA............................ 9.7 112.2 2.3 54 1,008 2.3 280

Solano, CA................................... 11.9 144.8 0.4 236 1,163 8.0 6

Sonoma, CA................................. 20.5 212.3 0.0 280 1,070 5.4 21

Stanislaus, CA.............................. 16.3 194.8 1.0 160 929 4.9 46

Tulare, CA.................................... 11.4 171.5 0.5 224 781 5.8 12

Ventura, CA.................................. 28.0 334.3 1.0 160 1,069 3.2 200

Yolo, CA....................................... 7.0 108.4 1.2 140 1,178 3.3 187

Adams, CO................................... 11.5 227.2 5.3 1 1,065 4.5 71

Arapahoe, CO.............................. 22.6 337.8 1.2 140 1,244 3.9 123

Boulder, CO.................................. 15.9 190.3 2.7 32 1,306 5.7 15

Denver, CO.................................. 34.2 532.4 1.5 113 1,338 5.3 25

Douglas, CO................................. 12.6 133.4 2.3 54 1,246 5.8 12

El Paso, CO.................................. 20.6 285.7 2.4 45 976 3.8 133

Jefferson, CO............................... 20.7 246.4 1.4 120 1,125 4.1 102

Larimer, CO.................................. 12.6 167.8 1.6 102 977 5.2 30

Weld, CO...................................... 7.7 114.7 3.3 10 1,001 5.0 39

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Fairfield, CT................................. 36.8 425.3 -0.7 330 $1,572 5.5 20

Hartford, CT.................................. 29.2 516.5 -0.7 330 1,260 3.3 187

New Haven, CT............................ 25.2 368.4 -0.9 336 1,101 3.0 220

New London, CT.......................... 7.7 125.2 -1.1 340 1,056 4.0 110

New Castle, DE............................ 20.9 293.3 0.6 209 1,177 3.2 200

Sussex, DE.................................. 7.4 89.1 2.6 36 776 4.0 110

Washington, DC........................... 40.3 780.3 0.5 224 1,778 3.8 133

Alachua, FL.................................. 7.5 131.7 1.1 150 925 5.2 30

Bay, FL......................................... 5.8 75.7 -6.4 355 841 9.2 3

Brevard, FL................................... 16.5 221.4 2.7 32 995 4.7 53

Broward, FL.................................. 71.5 813.1 0.8 184 1,013 1.7 327

Collier, FL..................................... 15.0 142.4 2.0 69 950 2.2 290

Duval, FL..................................... 30.7 520.6 1.8 84 1,003 2.8 243

Escambia, FL............................... 8.4 137.3 1.9 78 844 4.3 87

Hillsborough, FL........................... 45.0 694.9 2.7 32 1,040 3.7 148

Lake, FL....................................... 8.7 96.6 2.1 63 756 3.6 156

Lee, FL......................................... 23.5 259.1 2.1 63 889 2.9 232

Leon, FL....................................... 8.9 150.5 1.0 160 864 2.7 253

Manatee, FL................................. 11.6 125.3 3.0 21 840 1.2 336

Marion, FL.................................... 8.8 104.5 1.9 78 759 2.7 253

Miami-Dade, FL............................ 101.7 1,141.3 1.6 102 1,052 5.0 39

Okaloosa, FL................................ 6.7 85.3 1.4 120 932 5.0 39

Orange, FL................................... 44.9 857.2 2.2 60 956 4.1 102

Osceola, FL.................................. 7.6 96.9 3.7 6 750 2.7 253

Palm Beach, FL............................ 58.4 607.5 1.6 102 1,057 4.1 102

Pasco, FL..................................... 11.5 115.2 2.1 63 788 4.0 110

Pinellas, FL................................... 34.5 438.0 0.6 209 948 4.1 102

Polk, FL........................................ 14.2 220.9 3.1 17 842 5.1 36

St. Johns, FL............................... 7.9 77.3 2.2 60 845 1.7 327

St. Lucie, FL............................... 6.9 76.3 3.3 10 846 5.0 39

Sarasota, FL................................ 16.5 167.7 0.5 224 893 2.8 243

Seminole, FL................................ 15.6 199.3 2.4 45 950 3.1 210

Volusia, FL................................... 15.0 170.0 0.0 280 796 3.2 200

Bibb, GA....................................... 4.3 82.3 -1.3 343 829 3.4 176

Chatham, GA................................ 8.1 159.1 1.3 131 905 2.0 303

Clayton, GA.................................. 4.1 123.3 0.3 249 1,062 3.9 123

Cobb, GA...................................... 21.9 374.1 1.5 113 1,112 4.6 66

DeKalb, GA................................. 17.8 302.3 0.4 236 1,097 4.2 95

Forsyth, GA.................................. 6.0 78.2 2.5 42 955 3.4 176

Fulton, GA.................................... 43.8 905.4 2.4 45 1,404 4.0 110

Gwinnett, GA................................ 25.5 360.2 1.0 160 1,018 4.6 66

Hall, GA....................................... 4.6 89.3 2.0 69 936 3.5 166

Muscogee, GA.............................. 4.5 93.9 -0.6 327 823 3.3 187

Richmond, GA.............................. 4.5 103.9 -0.2 298 883 2.9 232

Honolulu, HI.................................. 27.2 463.9 -1.4 347 1,039 3.5 166

Maui + Kalawao, HI...................... 6.6 80.1 -1.6 350 889 4.3 87

Ada, ID......................................... 17.3 254.9 3.0 21 949 2.8 243

Champaign, IL.............................. 4.1 91.5 1.1 150 943 3.6 156

Cook, IL........................................ 139.2 2,635.8 0.5 224 1,251 2.5 266

DuPage, IL................................. 34.7 630.1 -0.2 298 1,199 3.3 187

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Kane, IL........................................ 12.7 218.3 0.0 280 $947 2.8 243

Lake, IL........................................ 20.3 350.0 -0.2 298 1,370 -2.5 353

McHenry, IL.................................. 7.9 99.3 -1.4 347 867 3.8 133

McLean, IL.................................... 3.4 82.3 -0.1 291 950 -5.8 355

Madison, IL................................... 5.4 100.8 -1.0 338 847 2.8 243

Peoria, IL...................................... 4.2 105.4 -1.7 352 1,057 0.5 346

St. Clair, IL.................................... 5.0 91.9 -0.7 330 854 3.4 176

Sangamon, IL............................... 4.8 130.9 -0.2 298 1,044 3.3 187

Will, IL.......................................... 15.1 251.5 1.3 131 920 2.3 280

Winnebago, IL.............................. 5.9 127.8 -1.5 349 893 3.1 210

Allen, IN........................................ 9.0 192.6 1.5 113 883 2.6 258

Elkhart, IN..................................... 4.8 136.0 -2.9 353 922 -1.9 351

Hamilton, IN.................................. 9.7 147.1 2.0 69 1,009 3.3 187

Lake, IN........................................ 10.3 190.3 0.5 224 904 3.0 220

Marion, IN..................................... 24.3 606.9 0.7 197 1,082 3.1 210

St. Joseph, IN............................... 5.8 125.6 1.1 150 878 3.1 210

Tippecanoe, IN............................. 3.5 85.2 0.2 261 934 4.5 71

Vanderburgh, IN........................... 4.8 109.5 -0.4 313 872 5.4 21

Johnson, IA.................................. 4.4 83.6 -0.7 330 991 1.0 340

Linn, IA......................................... 7.0 133.6 0.1 269 1,020 1.2 336

Polk, IA........................................ 18.1 307.3 0.6 209 1,059 1.0 340

Scott, IA........................................ 5.8 93.3 0.3 249 867 3.0 220

Johnson, KS................................. 23.5 355.7 0.8 184 1,106 3.7 148

Sedgwick, KS............................... 12.5 257.6 2.6 36 904 2.4 272

Shawnee, KS................................ 5.0 96.9 0.8 184 874 -2.9 354

Wyandotte, KS............................. 3.4 89.7 -1.0 338 1,059 5.0 39

Boone, KY................................... 4.4 95.3 1.3 131 941 3.9 123

Fayette, KY................................... 11.1 196.4 1.3 131 959 2.6 258

Jefferson, KY................................ 25.4 473.2 0.2 261 1,063 3.0 220

Caddo, LA.................................... 7.4 111.0 -1.3 343 858 2.0 303

Calcasieu, LA............................... 5.5 103.6 -0.6 327 961 3.4 176

East Baton Rouge, LA.................. 16.2 260.6 -0.7 330 1,016 3.0 220

Jefferson, LA................................ 14.3 190.2 0.0 280 971 3.6 156

Lafayette, LA................................ 10.0 130.1 0.6 209 899 2.3 280

Orleans, LA.................................. 13.4 198.7 2.1 63 987 2.2 290

St. Tammany, LA.......................... 8.7 90.9 2.6 36 899 3.3 187

Cumberland, ME.......................... 14.0 191.1 0.3 249 980 4.3 87

Anne Arundel, MD........................ 15.3 276.7 0.0 280 1,159 4.7 53

Baltimore, MD............................... 21.4 384.3 0.4 236 1,076 3.5 166

Frederick, MD............................... 6.5 106.9 1.7 97 988 3.6 156

Harford, MD.................................. 5.9 95.8 -0.5 317 1,032 3.8 133

Howard, MD................................. 10.1 177.1 1.0 160 1,316 3.7 148

Montgomery, MD.......................... 33.0 479.5 0.1 269 1,421 2.2 290

Prince George's, MD.................... 16.3 324.6 1.8 84 1,137 2.2 290

Baltimore City, MD....................... 13.7 344.2 -0.3 308 1,282 4.8 48

Barnstable, MA............................. 9.7 108.4 -0.3 308 926 3.5 166

Bristol, MA.................................... 18.1 232.9 -0.1 291 1,015 4.2 95

Essex, MA.................................... 27.3 332.4 -0.3 308 1,156 -0.7 350

Hampden, MA.............................. 18.9 213.3 0.8 184 932 2.1 297

Middlesex, MA.............................. 56.9 950.5 1.6 102 1,650 5.2 30

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Norfolk, MA................................... 25.7 360.3 0.1 269 $1,265 4.1 102

Plymouth, MA............................... 16.6 202.6 0.6 209 1,039 3.0 220

Suffolk, MA................................... 31.8 701.8 2.4 45 1,800 5.3 25

Worcester, MA.............................. 26.6 355.5 0.4 236 1,068 2.6 258

Genesee, MI................................. 7.3 137.9 0.1 269 874 2.0 303

Ingham, MI................................... 6.5 153.0 0.2 261 1,041 3.8 133

Kalamazoo, MI............................. 5.4 122.4 -0.1 291 1,002 3.5 166

Kent, MI....................................... 16.0 414.5 0.1 269 932 3.3 187

Macomb, MI.................................. 18.9 334.9 -0.5 317 1,052 2.3 280

Oakland, MI.................................. 42.6 758.9 0.3 249 1,181 1.6 332

Ottawa, MI.................................... 6.2 130.6 -0.5 317 905 2.6 258

Saginaw, MI.................................. 4.0 85.1 0.0 280 868 3.8 133

Washtenaw, MI............................. 9.1 215.5 1.1 150 1,157 2.7 253

Wayne, MI.................................... 34.8 738.3 0.3 249 1,143 2.1 297

Anoka, MN.................................... 7.8 130.1 0.9 174 1,042 2.8 243

Dakota, MN.................................. 10.7 194.3 1.0 160 1,064 2.2 290

Hennepin, MN.............................. 41.6 945.3 1.2 140 1,345 1.9 316

Olmsted, MN................................ 3.8 101.4 -0.3 308 1,160 3.1 210

Ramsey, MN................................. 14.4 337.5 0.8 184 1,188 3.7 148

St. Louis, MN................................ 5.4 100.8 -0.1 291 916 3.0 220

Stearns, MN................................. 4.4 88.5 0.2 261 889 2.5 266

Washington, MN........................... 6.1 90.3 0.7 197 931 2.4 272

Harrison, MS................................ 4.6 87.8 0.9 174 747 1.9 316

Hinds, MS..................................... 5.7 120.0 -0.2 298 879 2.0 303

Boone, MO................................... 4.9 94.1 0.4 236 881 5.3 25

Clay, MO...................................... 5.8 106.1 -0.5 317 943 3.3 187

Greene, MO.................................. 9.3 170.3 1.9 78 837 1.5 333

Jackson, MO................................ 22.4 379.1 0.9 174 1,095 3.4 176

St. Charles, MO............................ 9.8 153.1 1.8 84 887 4.5 71

St. Louis, MO................................ 40.2 611.5 -0.5 317 1,137 -0.3 348

St. Louis City, MO........................ 15.0 229.2 -0.4 313 1,151 3.6 156

Yellowstone, MT........................... 6.6 82.8 0.3 249 921 2.3 280

Douglas, NE................................. 19.1 342.7 0.3 249 1,002 4.4 79

Lancaster, NE............................... 10.2 172.1 0.0 280 863 1.9 316

Clark, NV..................................... 57.0 1,022.8 2.8 29 943 3.1 210

Washoe, NV................................. 15.3 227.3 2.0 69 979 3.7 148

Hillsborough, NH.......................... 12.3 208.3 0.8 184 1,172 4.0 110

Merrimack, NH............................. 5.3 78.9 0.4 236 998 1.1 338

Rockingham, NH.......................... 11.2 154.5 0.5 224 1,082 5.0 39

Atlantic, NJ................................... 6.6 136.8 0.7 197 899 -0.6 349

Bergen, NJ................................... 33.3 451.4 0.6 209 1,234 2.9 232

Burlington, NJ............................... 11.1 207.0 0.6 209 1,088 2.0 303

Camden, NJ................................. 12.2 208.5 -0.1 291 1,046 3.6 156

Essex, NJ.................................... 20.9 349.8 0.8 184 1,305 3.3 187

Gloucester, NJ.............................. 6.4 114.8 2.4 45 910 2.0 303

Hudson, NJ................................... 15.4 271.1 1.3 131 1,426 1.8 321

Mercer, NJ.................................... 11.3 262.7 0.7 197 1,347 2.8 243

Middlesex, NJ.............................. 22.6 434.3 0.3 249 1,233 3.2 200

Monmouth, NJ.............................. 20.4 275.6 0.3 249 1,041 2.1 297

Morris, NJ..................................... 17.2 299.7 0.2 261 1,544 2.9 232

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Ocean, NJ.................................... 13.7 182.6 2.0 69 $848 2.5 266

Passaic, NJ.................................. 12.6 167.8 -0.1 291 1,027 2.3 280

Somerset, NJ............................... 10.3 194.2 0.0 280 1,626 4.4 79

Union, NJ..................................... 14.6 230.8 0.0 280 1,313 3.4 176

Bernalillo, NM............................... 19.7 332.9 0.8 184 921 4.0 110

Albany, NY................................... 10.2 234.8 -0.9 336 1,181 3.5 166

Bronx, NY..................................... 18.7 325.0 0.8 184 1,117 5.7 15

Broome, NY.................................. 4.4 87.6 -0.5 317 894 3.5 166

Dutchess, NY............................... 8.3 114.7 0.1 269 1,076 3.2 200

Erie, NY........................................ 24.1 476.7 -0.2 298 986 3.9 123

Kings, NY..................................... 62.8 794.6 0.5 224 955 4.5 71

Monroe, NY.................................. 18.6 396.0 0.6 209 1,009 2.1 297

Nassau, NY.................................. 53.3 642.2 -0.6 327 1,216 3.4 176

New York, NY............................... 126.1 2,532.1 1.1 150 2,109 4.3 87

Oneida, NY................................... 5.2 107.3 0.2 261 870 4.8 48

Onondaga, NY.............................. 12.6 253.7 1.4 120 1,003 2.3 280

Orange, NY.................................. 10.4 150.7 1.3 131 963 2.6 258

Queens, NY.................................. 52.6 720.6 1.6 102 1,088 2.4 272

Richmond, NY.............................. 9.8 128.6 3.9 2 1,034 3.7 148

Rockland, NY............................... 10.8 132.0 2.2 60 1,038 1.8 321

Saratoga, NY................................ 5.9 92.3 -1.2 341 1,040 4.0 110

Suffolk, NY................................... 52.7 688.5 -0.4 313 1,157 2.0 303

Westchester, NY.......................... 35.6 440.4 -0.1 291 1,417 4.7 53

Buncombe, NC............................. 9.7 134.9 1.8 84 840 4.5 71

Cabarrus, NC............................... 4.9 77.2 2.8 29 802 4.4 79

Catawba, NC................................ 4.5 89.1 0.1 269 829 2.1 297

Cumberland, NC........................... 6.2 121.3 0.6 209 853 4.0 110

Durham, NC................................. 8.6 211.5 3.8 5 1,312 4.5 71

Forsyth, NC.................................. 9.3 191.3 1.6 102 944 1.8 321

Guilford, NC.................................. 14.6 284.6 0.8 184 948 5.2 30

Mecklenburg, NC.......................... 39.0 717.6 3.0 21 1,225 2.0 303

New Hanover, NC........................ 8.5 118.7 2.4 45 873 5.4 21

Pitt, NC....................................... 3.8 77.1 1.0 160 863 4.0 110

Wake, NC..................................... 36.0 581.5 2.4 45 1,143 3.8 133

Cass, ND...................................... 7.4 121.3 2.1 63 994 4.4 79

Butler, OH..................................... 8.0 158.0 1.2 140 939 4.2 95

Cuyahoga, OH.............................. 36.2 739.0 0.4 236 1,082 2.3 280

Delaware, OH............................... 5.6 91.8 0.6 209 1,047 4.7 53

Franklin, OH................................. 33.6 765.2 0.8 184 1,060 3.5 166

Greene, OH.................................. 3.7 76.1 1.8 84 1,117 4.7 53

Hamilton, OH................................ 24.2 527.5 0.7 197 1,158 4.7 53

Lake, OH...................................... 6.3 98.9 1.1 150 894 4.4 79

Lorain, OH.................................... 6.2 100.9 0.6 209 825 2.2 290

Lucas, OH.................................... 10.2 211.4 1.4 120 905 3.2 200

Mahoning, OH.............................. 5.9 98.4 -1.3 343 755 3.0 220

Montgomery, OH.......................... 12.0 257.6 0.2 261 923 2.9 232

Stark, OH..................................... 8.6 160.7 -0.4 313 806 3.2 200

Summit, OH................................. 14.4 269.4 0.1 269 947 3.2 200

Warren, OH................................. 5.2 99.8 3.6 8 998 8.6 5

Cleveland, OK.............................. 6.0 82.1 1.7 97 800 3.0 220

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Oklahoma, OK.............................. 28.3 463.8 0.9 174 $1,000 3.0 220

Tulsa, OK..................................... 22.7 362.6 1.1 150 964 2.4 272

Clackamas, OR............................ 15.6 171.7 1.8 84 1,030 2.6 258

Deschutes, OR............................. 9.3 87.4 2.6 36 900 4.8 48

Jackson, OR................................ 7.9 90.9 0.1 269 848 5.7 15

Lane, OR...................................... 12.8 159.2 0.3 249 856 2.8 243

Marion, OR................................... 11.5 161.5 1.0 160 922 3.9 123

Multnomah, OR............................ 36.6 520.6 1.8 84 1,164 4.9 46

Washington, OR........................... 20.5 304.7 1.5 113 1,364 1.8 321

Allegheny, PA............................... 35.7 710.1 0.4 236 1,168 3.8 133

Berks, PA..................................... 9.0 177.1 1.0 160 969 1.7 327

Bucks, PA..................................... 20.3 274.7 1.4 120 996 2.5 266

Butler, PA..................................... 5.1 88.8 0.7 197 994 2.1 297

Chester, PA.................................. 15.8 256.0 0.9 174 1,387 3.0 220

Cumberland, PA........................... 6.6 137.0 1.2 140 1,009 4.1 102

Dauphin, PA................................ 7.5 190.2 1.4 120 1,065 5.2 30

Delaware, PA............................... 14.2 228.0 0.7 197 1,128 3.9 123

Erie, PA........................................ 7.0 123.6 0.1 269 812 2.3 280

Lackawanna, PA.......................... 5.6 97.9 -1.2 341 821 2.0 303

Lancaster, PA............................... 13.8 247.7 1.0 160 904 5.2 30

Lehigh, PA.................................... 8.9 197.7 0.8 184 1,036 4.1 102

Luzerne, PA.................................. 7.5 145.7 -0.5 317 856 2.0 303

Montgomery, PA........................... 27.9 510.2 1.2 140 1,297 4.0 110

Northampton, PA.......................... 6.9 119.1 2.4 45 930 3.8 133

Philadelphia, PA........................... 35.0 697.4 1.5 113 1,251 3.8 133

Washington, PA............................ 5.6 90.6 0.5 224 1,050 4.1 102

Westmoreland, PA....................... 9.3 135.9 0.5 224 870 3.0 220

York, PA....................................... 9.2 180.5 -0.2 298 952 3.5 166

Kent, RI....................................... 5.6 77.9 0.5 224 934 2.4 272

Providence, RI.............................. 18.9 290.0 0.3 249 1,065 3.1 210

Charleston, SC............................. 16.9 262.8 2.0 69 964 4.7 53

Greenville, SC.............................. 15.2 280.8 1.4 120 934 2.5 266

Horry, SC..................................... 9.7 141.2 0.4 236 649 3.8 133

Lexington, SC............................... 7.1 121.5 0.9 174 816 4.2 95

Richland, SC................................ 10.7 223.5 0.0 280 901 2.9 232

Spartanburg, SC........................... 6.6 146.5 2.5 42 915 5.9 11

York, SC....................................... 6.4 100.9 3.3 10 873 3.8 133

Minnehaha, SD............................. 7.6 130.1 1.2 140 935 4.4 79

Davidson, TN................................ 24.5 514.7 3.3 10 1,124 3.9 123

Hamilton, TN................................ 10.2 208.4 1.4 120 946 1.9 316

Knox, TN...................................... 13.0 239.6 0.6 209 921 0.1 347

Rutherford, TN.............................. 6.1 134.1 2.3 54 961 2.9 232

Shelby, TN.................................... 21.1 504.8 0.7 197 1,090 5.1 36

Williamson, TN............................. 9.6 140.5 3.2 14 1,263 4.5 71

Bell, TX......................................... 5.7 120.8 1.0 160 931 3.4 176

Bexar, TX..................................... 43.1 876.3 1.5 113 990 5.4 21

Brazoria, TX................................. 6.1 116.6 2.7 32 1,098 2.0 303

Brazos, TX.................................... 4.7 104.6 3.0 21 803 1.0 340

Cameron, TX................................ 6.6 142.2 1.0 160 659 4.6 66

Collin, TX...................................... 27.2 432.5 2.6 36 1,258 1.7 327

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Dallas, TX..................................... 78.8 1,737.1 2.1 63 $1,304 4.8 48

Denton, TX.................................. 16.1 257.7 3.7 6 971 2.4 272

Ector, TX..................................... 4.2 80.5 1.2 140 1,219 3.9 123

El Paso, TX.................................. 15.6 308.5 1.0 160 756 3.1 210

Fort Bend, TX............................... 14.3 197.4 3.2 14 980 3.2 200

Galveston, TX............................... 6.3 112.5 1.4 120 972 6.3 8

Harris, TX..................................... 117.3 2,349.3 1.7 97 1,306 2.8 243

Hidalgo, TX................................... 12.7 265.1 1.7 97 657 2.0 303

Jefferson, TX................................ 5.9 122.4 -0.2 298 1,061 2.0 303

Lubbock, TX................................. 7.8 141.2 0.9 174 850 1.0 340

McLennan, TX.............................. 5.4 113.9 1.1 150 875 0.7 344

Midland, TX.................................. 6.0 108.6 3.1 17 1,450 4.3 87

Montgomery, TX........................... 12.2 192.2 3.0 21 1,073 0.6 345

Nueces, TX.................................. 8.3 165.2 0.4 236 925 3.4 176

Potter, TX..................................... 4.0 76.9 0.7 197 887 2.5 266

Smith, TX..................................... 6.4 103.5 0.5 224 883 2.8 243

Tarrant, TX................................... 45.2 920.9 1.2 140 1,078 3.9 123

Travis, TX..................................... 43.2 779.6 3.2 14 1,292 4.4 79

Webb, TX..................................... 5.6 104.2 1.8 84 697 1.8 321

Williamson, TX............................. 11.8 182.8 3.9 2 1,066 5.3 25

Davis, UT..................................... 9.0 134.5 2.3 54 903 4.0 110

Salt Lake, UT................................ 48.3 723.8 2.9 26 1,055 4.6 66

Utah, UT....................................... 17.6 251.2 3.9 2 893 3.6 156

Weber, UT.................................... 6.4 109.4 3.1 17 813 2.9 232

Chittenden, VT............................. 7.1 103.6 0.4 236 1,039 1.9 316

Arlington, VA................................ 9.2 183.9 1.8 84 1,704 2.9 232

Chesterfield, VA........................... 9.5 138.2 0.9 174 910 2.9 232

Fairfax, VA.................................... 37.0 629.7 1.6 102 1,647 4.5 71

Henrico, VA.................................. 11.9 195.0 0.0 280 1,022 4.3 87

Loudoun, VA................................ 12.8 179.0 2.8 29 1,216 2.6 258

Prince William, VA........................ 9.6 136.8 1.6 102 940 1.8 321

Alexandria City, VA...................... 6.3 93.1 -0.2 298 1,471 4.2 95

Chesapeake City, VA................... 6.2 102.9 0.5 224 849 2.4 272

Newport News City, VA................ 4.0 104.0 0.7 197 1,030 4.3 87

Norfolk City, VA........................... 6.1 141.9 -0.7 330 1,095 3.5 166

Richmond City, VA....................... 8.1 157.6 1.5 113 1,160 4.2 95

Virginia Beach City, VA................ 12.4 184.0 0.6 209 839 3.7 148

Benton, WA.................................. 6.1 96.6 1.3 131 1,083 6.1 10

Clark, WA..................................... 15.4 165.8 1.6 102 1,048 5.0 39

King, WA...................................... 90.1 1,445.1 2.9 26 1,709 6.6 7

Kitsap, WA.................................... 6.9 92.6 2.0 69 1,054 3.6 156

Pierce, WA................................... 23.3 318.3 1.4 120 1,028 5.1 36

Snohomish, WA............................ 21.8 294.2 1.8 84 1,179 3.8 133

Spokane, WA............................... 16.7 231.3 1.7 97 947 4.4 79

Thurston, WA............................... 8.6 118.6 1.3 131 1,034 4.7 53

Whatcom, WA.............................. 7.4 93.5 0.9 174 945 3.8 133

Yakima, WA................................. 8.1 127.2 -1.3 343 773 4.7 53

Kanawha, WV............................... 5.7 97.5 -1.6 350 916 2.2 290

Brown, WI..................................... 7.3 162.2 0.6 209 929 3.1 210

Dane, WI...................................... 16.5 346.1 1.8 84 1,105 6.3 8

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 356 largest counties,

second quarter 2019 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-193

Ranking by

percent

change

Second

quarter

2019

Percent

change,

second quarter

2018-193

Ranking by

percent

change

Milwaukee, WI.............................. 28.1 491.7 -0.5 317 $1,025 4.0 110

Outagamie, WI............................. 5.6 111.2 -0.5 317 928 3.3 187

Racine, WI................................. 4.7 77.3 0.3 249 908 1.3 335

Waukesha, WI.............................. 13.8 251.6 0.7 197 1,064 3.4 176

Winnebago, WI............................. 4.0 94.1 0.2 261 1,055 9.1 4

San Juan, PR............................... 11.2 240.4 0.5 (5) 639 -3.3 (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 355 U.S. counties comprise 73.4 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

second quarter 2019

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-192

Second

quarter

2019

Percent

change,

second quarter

2018-192

United States3................................................................. 10,252.0 149,089.2 1.1 $1,095 3.8

 Private industry............................................................. 9,951.2 127,278.4 1.2 1,085 3.8

 Natural resources and mining.................................... 139.6 2,062.7 -0.2 1,115 3.5

 Construction............................................................... 830.8 7,619.6 2.4 1,201 3.6

 Manufacturing............................................................ 356.0 12,862.0 0.9 1,297 2.9

 Trade, transportation, and utilities.............................. 1,944.7 27,415.8 0.3 927 4.3

 Information................................................................. 184.2 2,856.0 1.0 2,168 5.3

 Financial activities...................................................... 913.8 8,357.3 1.1 1,638 3.2

 Professional and business services........................... 1,901.1 21,300.7 1.6 1,429 4.5

 Education and health services................................... 1,757.4 22,968.4 1.7 979 3.1

 Leisure and hospitality............................................... 879.6 17,040.9 1.1 467 4.2

 Other services............................................................ 861.0 4,618.6 1.0 754 4.0

 Government.................................................................. 300.8 21,810.7 0.4 1,150 3.3

Los Angeles, CA.............................................................. 508.5 4,495.1 1.1 1,225 4.2

 Private industry............................................................. 502.1 3,909.5 1.2 1,189 3.7

 Natural resources and mining.................................... 0.5 6.3 -4.0 1,099 4.9

 Construction............................................................... 16.7 149.4 2.5 1,295 4.8

 Manufacturing............................................................ 12.8 339.9 -0.1 1,387 4.4

 Trade, transportation, and utilities.............................. 59.4 833.8 0.0 1,008 5.5

 Information................................................................. 13.0 193.0 1.3 2,547 5.2

 Financial activities...................................................... 30.1 223.6 -0.2 1,920 3.0

 Professional and business services........................... 55.9 634.2 1.9 1,514 2.3

 Education and health services................................... 243.8 822.4 2.4 910 3.5

 Leisure and hospitality............................................... 38.9 552.2 2.0 691 1.6

 Other services............................................................ 29.3 153.3 0.0 779 0.9

 Government.................................................................. 6.4 585.7 0.2 1,463 6.6

Cook, IL........................................................................... 139.2 2,635.8 0.5 1,251 2.5

 Private industry............................................................. 138.0 2,337.2 0.5 1,241 2.7

 Natural resources and mining.................................... 0.1 1.5 10.9 1,192 1.9

 Construction............................................................... 11.2 80.3 0.4 1,508 3.1

 Manufacturing............................................................ 5.7 185.6 0.5 1,262 1.0

 Trade, transportation, and utilities.............................. 28.5 472.8 -0.1 1,049 4.6

 Information................................................................. 2.5 53.0 1.1 2,057 5.6

 Financial activities...................................................... 14.1 208.3 1.7 2,188 3.6

 Professional and business services........................... 29.2 479.2 1.2 1,565 -0.2

 Education and health services................................... 15.6 450.6 0.0 1,014 3.0

 Leisure and hospitality............................................... 13.9 304.5 0.8 580 3.8

 Other services............................................................ 16.2 100.9 -1.0 967 3.5

 Government.................................................................. 1.3 298.6 0.0 1,328 1.0

New York, NY.................................................................. 126.1 2,532.1 1.1 2,109 4.3

 Private industry............................................................. 124.7 2,300.7 1.1 2,153 4.4

 Natural resources and mining.................................... 0.0 0.2 11.8 2,655 31.8

 Construction............................................................... 2.4 44.0 -1.5 1,982 3.7

 Manufacturing............................................................ 1.8 22.5 -4.8 1,553 3.5

 Trade, transportation, and utilities.............................. 18.6 253.8 -0.5 1,546 2.4

 Information................................................................. 5.1 182.8 3.5 2,883 6.1

 Financial activities...................................................... 19.4 392.5 1.6 3,746 2.4

 Professional and business services........................... 27.5 624.1 1.1 2,396 5.4

 Education and health services................................... 10.2 357.1 2.1 1,449 4.4

 Leisure and hospitality............................................... 14.7 314.0 0.2 953 5.1

 Other services............................................................ 19.7 105.9 0.2 1,295 5.1

 Government.................................................................. 1.4 231.4 0.8 1,674 2.6

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

second quarter 2019 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-192

Second

quarter

2019

Percent

change,

second quarter

2018-192

Harris, TX........................................................................ 117.3 2,349.3 1.7 $1,306 2.8

 Private industry............................................................. 116.7 2,074.2 1.9 1,321 2.7

 Natural resources and mining.................................... 1.6 68.0 2.1 3,027 -1.4

 Construction............................................................... 7.8 170.1 4.0 1,401 2.9

 Manufacturing............................................................ 4.9 181.6 3.9 1,606 0.0

 Trade, transportation, and utilities.............................. 25.2 468.9 0.3 1,194 3.5

 Information................................................................. 1.2 26.7 1.8 1,510 3.9

 Financial activities...................................................... 12.7 130.1 2.1 1,704 3.3

 Professional and business services........................... 23.6 411.6 1.9 1,638 3.0

 Education and health services................................... 16.6 301.0 1.5 1,075 3.2

 Leisure and hospitality............................................... 10.6 245.4 2.3 501 4.6

 Other services............................................................ 11.8 69.4 1.5 866 6.1

 Government.................................................................. 0.6 275.0 0.3 1,193 3.8

Maricopa, AZ.................................................................... 105.5 2,010.9 3.1 1,056 3.8

 Private industry............................................................. 104.8 1,819.3 3.1 1,046 4.0

 Natural resources and mining.................................... 0.4 8.2 -1.9 1,024 8.4

 Construction............................................................... 8.5 131.9 8.3 1,157 6.8

 Manufacturing............................................................ 3.5 128.4 2.5 1,505 1.8

 Trade, transportation, and utilities.............................. 20.6 384.7 2.1 965 4.1

 Information................................................................. 2.1 38.0 0.4 1,429 4.8

 Financial activities...................................................... 13.6 189.9 3.4 1,355 2.8

 Professional and business services........................... 26.2 345.4 3.4 1,118 3.2

 Education and health services................................... 13.3 316.1 4.0 1,019 3.6

 Leisure and hospitality............................................... 9.1 222.2 1.7 529 5.8

 Other services............................................................ 7.0 54.1 1.0 790 5.6

 Government.................................................................. 0.7 191.6 2.6 1,145 2.9

Dallas, TX........................................................................ 78.8 1,737.1 2.1 1,304 4.8

 Private industry............................................................. 78.2 1,563.7 2.3 1,311 5.0

 Natural resources and mining.................................... 0.5 9.4 7.5 3,327 -4.0

 Construction............................................................... 4.9 93.1 3.0 1,309 3.3

 Manufacturing............................................................ 2.8 118.5 3.0 1,526 6.6

 Trade, transportation, and utilities.............................. 16.2 351.1 1.9 1,143 5.5

 Information................................................................. 1.4 46.3 -1.5 1,980 9.4

 Financial activities...................................................... 9.8 166.9 2.7 1,817 6.4

 Professional and business services........................... 17.8 361.1 2.8 1,540 5.3

 Education and health services................................... 9.8 203.5 2.2 1,152 2.1

 Leisure and hospitality............................................... 7.2 168.2 2.0 523 0.2

 Other services............................................................ 7.1 44.6 1.5 910 6.2

 Government.................................................................. 0.5 173.4 0.4 1,243 3.4

Orange, CA...................................................................... 126.3 1,656.4 1.6 1,193 2.9

 Private industry............................................................. 124.9 1,499.3 1.8 1,177 2.9

 Natural resources and mining.................................... 0.2 2.4 -7.1 927 1.9

 Construction............................................................... 7.7 107.1 1.3 1,444 5.9

 Manufacturing............................................................ 5.3 160.0 -0.2 1,516 0.7

 Trade, transportation, and utilities.............................. 18.5 255.7 -0.4 1,062 4.3

 Information................................................................. 1.6 25.6 -3.2 2,055 1.0

 Financial activities...................................................... 12.9 115.9 -1.4 1,852 4.4

 Professional and business services........................... 23.5 326.1 4.1 1,373 2.3

 Education and health services................................... 37.4 224.9 3.4 962 2.8

 Leisure and hospitality............................................... 9.7 232.5 3.3 541 6.1

 Other services............................................................ 7.6 48.5 1.3 744 3.2

 Government.................................................................. 1.4 157.0 0.1 1,345 3.3

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

second quarter 2019 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-192

Second

quarter

2019

Percent

change,

second quarter

2018-192

San Diego, CA................................................................ 115.5 1,491.0 1.2 $1,189 4.7

 Private industry............................................................. 113.5 1,252.0 1.5 1,147 4.8

 Natural resources and mining.................................... 0.7 10.6 5.1 773 1.3

 Construction............................................................... 7.8 84.3 0.2 1,279 6.0

 Manufacturing............................................................ 3.5 115.0 1.6 1,595 6.3

 Trade, transportation, and utilities.............................. 15.4 220.6 -0.1 902 5.6

 Information................................................................. 1.4 23.1 -2.7 2,039 10.5

 Financial activities...................................................... 11.1 75.8 -0.5 1,538 2.9

 Professional and business services........................... 20.9 253.4 2.8 1,659 4.5

 Education and health services................................... 34.7 209.0 3.1 974 2.9

 Leisure and hospitality............................................... 9.1 206.4 1.2 548 5.2

 Other services............................................................ 8.2 53.2 1.3 660 3.8

 Government.................................................................. 2.0 239.1 0.0 1,406 4.1

King, WA......................................................................... 90.1 1,445.1 2.9 1,709 6.6

 Private industry............................................................. 89.5 1,270.7 3.2 1,745 6.7

 Natural resources and mining.................................... 0.4 3.2 3.6 1,359 -4.0

 Construction............................................................... 6.9 76.2 3.0 1,479 5.0

 Manufacturing............................................................ 2.5 106.0 3.6 1,689 2.3

 Trade, transportation, and utilities.............................. 13.7 276.7 2.6 1,958 4.5

 Information................................................................. 2.6 122.3 8.5 3,771 11.1

 Financial activities...................................................... 6.8 71.5 1.1 1,814 6.3

 Professional and business services........................... 18.5 235.7 2.8 1,899 5.9

 Education and health services................................... 21.3 180.6 2.5 1,117 3.9

 Leisure and hospitality............................................... 7.4 149.6 1.2 637 6.7

 Other services............................................................ 9.3 49.0 7.1 950 5.3

 Government.................................................................. 0.6 174.4 0.9 1,449 5.6

Miami-Dade, FL............................................................... 101.7 1,141.3 1.6 1,052 5.0

 Private industry............................................................. 101.4 1,015.0 1.7 1,032 5.3

 Natural resources and mining.................................... 0.5 8.6 1.8 682 1.9

 Construction............................................................... 7.3 51.7 3.1 1,047 8.3

 Manufacturing............................................................ 2.8 41.9 3.1 942 5.5

 Trade, transportation, and utilities.............................. 24.6 287.6 1.3 960 4.0

 Information................................................................. 1.6 19.0 2.9 1,735 2.6

 Financial activities...................................................... 10.9 75.8 -0.2 1,596 4.4

 Professional and business services........................... 23.4 164.4 1.7 1,295 9.8

 Education and health services................................... 11.3 182.9 1.9 1,025 3.3

 Leisure and hospitality............................................... 7.6 142.8 2.0 639 5.1

 Other services............................................................ 8.6 38.8 1.1 672 3.5

 Government.................................................................. 0.3 126.3 0.3 1,208 3.4

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 2018 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,

second quarter 2019

Employment Average weekly wage 1

State

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-19

Second

quarter

2019

Percent

change,

second quarter

2018-19

United States2.......................................... 10,252.0 149,089.2 1.1 $1,095 3.8

Alabama.................................................... 129.6 1,993.7 1.1 911 3.4

Alaska........................................................ 22.3 338.9 0.7 1,078 3.6

Arizona...................................................... 166.5 2,843.3 2.6 1,010 3.8

Arkansas................................................... 91.9 1,222.5 0.6 862 4.6

California................................................... 1,595.3 17,717.4 1.5 1,325 4.7

Colorado.................................................... 210.2 2,765.7 2.2 1,128 4.9

Connecticut............................................... 123.0 1,690.8 -0.8 1,266 3.9

Delaware................................................... 33.8 458.0 0.8 1,057 3.4

District of Columbia................................... 40.3 780.4 0.5 1,778 3.8

Florida....................................................... 716.5 8,722.9 1.8 968 3.9

Georgia...................................................... 285.1 4,507.1 1.7 1,016 3.9

Hawaii........................................................ 44.7 652.2 -1.2 992 3.7

Idaho......................................................... 67.5 765.1 2.6 820 3.3

Illinois........................................................ 378.3 6,074.7 0.3 1,122 2.4

Indiana....................................................... 167.7 3,089.8 0.5 910 3.1

Iowa........................................................... 104.2 1,584.7 0.1 902 2.5

Kansas...................................................... 87.9 1,403.0 0.6 905 2.8

Kentucky.................................................... 121.3 1,909.7 0.3 911 3.3

Louisiana................................................... 135.0 1,920.2 -0.2 923 2.4

Maine......................................................... 54.3 639.6 0.4 874 3.7

Maryland.................................................... 174.3 2,733.6 0.7 1,178 3.3

Massachusetts.......................................... 262.9 3,690.1 0.9 1,377 4.3

Michigan.................................................... 261.9 4,419.7 0.1 1,018 2.4

Minnesota.................................................. 182.4 2,952.6 0.8 1,101 2.6

Mississippi................................................. 73.7 1,135.9 0.4 767 2.0

Missouri..................................................... 208.3 2,836.7 0.3 948 2.5

Montana.................................................... 49.5 483.1 1.0 843 3.3

Nebraska................................................... 72.6 991.5 0.1 889 3.5

Nevada...................................................... 83.7 1,408.8 2.6 961 3.2

New Hampshire......................................... 53.7 676.1 0.8 1,090 4.0

New Jersey............................................... 276.9 4,182.5 0.7 1,236 3.0

New Mexico............................................... 61.7 834.0 1.0 888 4.3

New York.................................................. 651.9 9,682.8 1.0 1,347 3.9

North Carolina........................................... 284.7 4,527.3 2.0 970 3.9

North Dakota............................................. 31.9 431.8 1.3 1,026 4.1

Ohio........................................................... 300.7 5,486.7 0.4 965 3.4

Oklahoma.................................................. 111.2 1,618.5 0.5 900 3.1

Oregon...................................................... 160.2 1,976.5 1.3 1,036 3.8

Pennsylvania............................................. 362.1 5,972.1 0.8 1,070 3.8

Rhode Island............................................. 38.8 494.5 0.7 1,034 3.4

South Carolina.......................................... 139.0 2,144.2 1.3 867 3.7

South Dakota............................................ 34.1 441.8 0.4 838 3.8

Tennessee................................................. 166.4 3,047.8 1.8 964 3.3

Texas......................................................... 707.8 12,585.6 2.0 1,102 3.8

Utah........................................................... 107.5 1,526.1 3.0 936 4.1

Vermont..................................................... 26.1 314.0 0.0 929 2.7

Virginia...................................................... 281.9 3,981.6 1.0 1,113 3.7

Washington............................................... 251.3 3,500.6 1.8 1,288 5.9

West Virginia............................................. 51.5 700.4 -0.6 889 2.4

Wisconsin.................................................. 181.0 2,945.3 0.3 940 4.1

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

second quarter 2019 - Continued

Employment Average weekly wage 1

State

Establishments,

second quarter

2019

(thousands)

June

2019

(thousands)

Percent

change,

June

2018-19

Second

quarter

2019

Percent

change,

second quarter

2018-19

Wyoming................................................... 26.9 287.6 1.7 $932 3.4

Puerto Rico............................................... 47.0 867.7 1.5 531 -1.8

Virgin Islands............................................ 3.4 37.0 10.0 919 8.8

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.