For release 10:00 a.m. (EDT), Wednesday, May 22, 2019 USDL-19-0857

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

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

COUNTY EMPLOYMENT AND WAGES – FOURTH QUARTER 2018 

From December 2017 to December 2018, employment increased in 296 of the 349 largest U.S. 

counties, the U.S. Bureau of Labor Statistics reported today. In December 2018, national 

employment (as measured by the QCEW program) increased to 148.1 million, a 1.5 percent 

increase over the year. Midland, TX, had the largest over-the-year increase in employment with a 

gain of 10.0 percent. Employment data in this release are presented for December 2018, and 

average weekly wage data are presented for fourth quarter 2018. 

Chart 1. Percent change in employment, December 2017 to December 2018, by largest gains and losses

-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0%

Bay, FL

Johnson, IA

Kanawha, WV

McHenry, IL

McLean, IL

Brevard, FL

Weld, CO

Fort Bend, TX

Williamson, TN

Williamson, TX

Brazoria, TX

Utah, UT

Atlantic, NJ

York, SC

Midland, TX

Notice Regarding South Carolina Employment and Wages Data

South Carolina QCEW data for the first, second, third, and fourth quarters of 2018 show 

unusual movements, which may be a result of a change in reporting. These unusual 

movements coincide with a modernization of the South Carolina unemployment insurance 

system. For more information please visit: www.bls.gov/cew/2018-notice-regarding-southcarolina-employment-and-wages-data.htm. 
- 2 - 

Among the 349 largest counties, 332 had over-the-year increases in average weekly wages. In 

the fourth quarter of 2018, average weekly wages for the nation increased to $1,144, a 3.2 

percent increase over the year. Tippecanoe, IN, had the largest fourth quarter over-the-year wage 

gain at 15.1 percent. (See table 1.) 

Large County Employment in December 2018

Midland, TX, had the largest over-the-year percentage increase in employment (10.0 percent). 

Within Midland, the largest employment increase occurred in natural resources and mining, 

which gained 5,305 jobs over the year (20.3 percent).

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

of 5.6 percent. Within Bay, education and health services had the largest employment decrease 

with a loss of 1,878 jobs (-16.4 percent). 

Large County Average Weekly Wage in Fourth Quarter 2018

Tippecanoe, IN, had the largest over-the-year percentage increase in average weekly wages (15.1

percent). Within Tippecanoe, an average weekly wage gain of $1,046 (128.5 percent) in 

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

average weekly wages. 

Washington, PA, had the largest over-the-year percentage decrease in average weekly wages 

with a loss of 6.6 percent. Within Washington, natural resources and mining had the largest 

impact, with an average weekly wage decrease of $2,287 (-56.1 percent) over the year.

Chart 2. Percent change in average weekly wage, fourth quarter 2017 to fourth quarter 2018, by 

largest gains and losses

-7.0% -5.0% -3.0% -1.0% 1.0% 3.0% 5.0% 7.0% 9.0% 11.0% 13.0% 15.0%

Washington, PA

Elkhart, IN

Muscogee, GA

Douglas, CO

New York, NY

Winnebago, IL

Arlington, VA

Jefferson, CO

San Francisco, CA

Midland, TX

Dakota, MN

Wake, NC

Olmsted, MN

Williamson, TN

Tippecanoe, IN
- 3 - 

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage increases in employment, while 9 had 

over-the-year percentage increases in average weekly wages. In December 2018, Maricopa, AZ, 

had the largest over-the-year employment percentage gain among the 10 largest counties (3.2

percent). Within Maricopa, trade, transportation, and utilities had the largest employment 

increase with a gain of 15,496 jobs (3.9 percent). (See table 2.)

In fourth quarter 2018, King, WA, experienced the largest over-the-year percentage gain in 

average weekly wages among the 10 largest counties (7.0 percent). Within King, information had 

the largest impact, with an average weekly wage increase of $464 (14.9 percent) over the year.

For More Information

The tables and charts included in this release contain data for the nation and for the 349 U.S. 

counties with annual average employment levels of 75,000 or more in 2017. December 2018 

employment and fourth quarter 2018 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/cewregional.htm. 

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

____________

The County Employment and Wages full data update for fourth quarter 2018 is scheduled

to be released on Wednesday, June 5, 2019, at 10:00 a.m. (EDT). 

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

released on Wednesday, August 21, 2019, at 10:00 a.m. (EDT). 

BLS Local Data App Now Available for Android Devices

The BLS Local Data app, first released for iPhones last fall, is now available for Android 

devices. Search using your current location, a zip code, or a location name to find employment 

and wage data for detailed industries and occupations. BLS continues to partner with the U.S. 

Department of Labor’s Office of the Chief Information Officer to expand the features and data 

in the app. For more information please visit: https://beta.bls.gov/labs/blogs/2019/04/17/blslocal-data-app-now-available-for-android-devices/.
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 2018 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 349 counties 

presented in this release were derived using 2017 preliminary annual averages of employment. For 2018 data, three counties have 

been added to the publication tables: Cabarrus, N.C.; Pitt, N.C.; 

and Kent, R.I. These counties will be included in all 2018 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 Q CEW, BED, and CES Employment Measures

QCEW BED CES

Source Count of UI administrative records 

submitted by 10.0 million establishments in first quarter of 2018 

Count of longitudinally-linked UI administrative records submitted by 8.0 

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 Q CEW, 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 9.8 million employer 

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

2017. 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 2017, UI and 

UCFE programs covered workers in 143.9 million jobs. The estimated 

138.6 million workers in these jobs (after adjustment for multiple jobholders) represented 96.4 percent of civilian wage and salary employment. Covered workers received $7.968 trillion in pay, representing 

94.3 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 datesthan 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 2017 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 2017 edition of this 

publication, which was published in September 2018, contains selected data produced by Business Employment Dynamics (BED) on 

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

2018 version of this news release. Tables and additional content from

the 2017 edition of Employment and Wages Annual Averages Online 

are now available at www.bls.gov/cew/cewbultn17.htm. The 2018 

edition of Employment and Wages Annual Averages Online will be 

available in September 2019. 

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 350 largest counties,

fourth quarter 2018

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

United States4.............................. 10,169.1 148,061.8 1.5 - $1,144 3.2 -

Jefferson, AL................................ 19.1 355.8 1.5 134 1,110 2.4 227

Madison, AL................................. 9.9 203.5 2.1 69 1,182 4.0 89

Mobile, AL.................................... 10.3 174.1 1.7 114 982 0.5 322

Montgomery, AL........................... 6.5 131.5 -0.6 335 964 2.6 210

Shelby, AL.................................... 5.9 85.7 0.6 227 1,084 4.9 58

Tuscaloosa, AL............................. 4.6 96.5 2.6 41 918 0.5 322

Anchorage, AK............................. 8.3 147.6 0.3 258 1,160 5.1 51

Maricopa, AZ................................ 102.3 2,060.6 3.2 22 1,064 3.9 97

Pima, AZ....................................... 19.1 377.9 1.8 100 926 3.6 113

Benton, AR................................... 6.7 121.5 1.3 149 1,067 5.5 34

Pulaski, AR................................... 14.6 254.7 0.3 258 982 1.1 310

Washington, AR........................... 6.3 109.2 1.4 139 984 -1.8 343

Alameda, CA................................ 65.6 793.0 1.5 134 1,511 4.2 80

Butte, CA..................................... 8.8 82.8 -0.9 340 869 5.5 34

Contra Costa, CA......................... 33.4 370.1 0.1 282 1,387 3.4 137

Fresno, CA................................... 37.0 392.0 3.1 24 904 1.7 279

Kern, CA....................................... 20.4 326.1 3.6 14 923 3.6 113

Los Angeles, CA........................... 507.9 4,515.9 1.2 161 1,380 2.1 249

Marin, CA..................................... 12.7 116.7 0.6 227 1,466 4.2 80

Merced, CA................................. 6.8 79.6 0.4 251 837 2.6 210

Monterey, CA............................... 14.2 178.2 1.7 114 966 1.7 279

Napa, CA..................................... 5.9 76.3 2.0 81 1,158 3.5 128

Orange, CA.................................. 126.1 1,647.4 0.8 198 1,251 0.6 320

Placer, CA.................................... 13.6 170.1 2.6 41 1,120 1.4 296

Riverside, CA............................... 67.7 750.5 2.1 69 883 1.1 310

Sacramento, CA........................... 60.3 672.6 2.2 60 1,208 2.9 187

San Bernardino, CA..................... 61.7 773.0 2.2 60 934 3.0 176

San Diego, CA.............................. 115.0 1,485.8 1.6 126 1,260 3.2 155

San Francisco, CA....................... 61.9 759.6 3.8 11 2,452 10.4 7

San Joaquin, CA.......................... 18.4 255.0 1.3 149 961 4.0 89

San Luis Obispo, CA.................... 10.6 117.3 1.8 100 976 4.6 65

San Mateo, CA............................. 29.1 412.5 2.0 81 2,410 -1.1 341

Santa Barbara, CA....................... 15.8 197.8 1.3 149 1,111 4.5 69

Santa Clara, CA........................... 74.7 1,118.3 2.3 54 2,670 4.7 62

Santa Cruz, CA............................ 9.7 101.1 0.6 227 1,023 5.7 31

Solano, CA................................... 11.9 143.4 1.2 161 1,153 3.3 146

Sonoma, CA................................. 20.5 211.6 1.4 139 1,122 5.1 51

Stanislaus, CA.............................. 16.2 188.4 0.8 198 943 3.1 164

Tulare, CA.................................... 11.2 162.8 1.9 86 813 0.1 332

Ventura, CA.................................. 28.2 330.2 0.5 242 1,102 2.4 227

Yolo, CA....................................... 6.9 104.0 2.0 81 1,204 3.6 113

Adams, CO................................... 11.3 220.0 3.7 12 1,094 2.0 257

Arapahoe, CO.............................. 22.2 334.5 1.6 126 1,306 3.0 176

Boulder, CO.................................. 15.6 185.8 1.9 86 1,354 6.0 25

Denver, CO.................................. 33.5 522.9 1.8 100 1,414 6.0 25

Douglas, CO................................. 12.3 127.7 1.7 114 1,272 -3.6 346

El Paso, CO.................................. 20.2 280.0 2.2 60 1,013 4.6 65

Jefferson, CO............................... 20.3 241.3 1.6 126 1,211 8.7 8

Larimer, CO.................................. 12.4 163.5 2.7 36 1,064 6.0 25

Weld, CO...................................... 7.6 111.4 3.9 9 1,014 5.3 43

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

Fairfield, CT................................. 36.2 426.5 0.0 297 $1,705 0.4 325

Hartford, CT.................................. 28.8 517.5 0.4 251 1,331 2.9 187

New Haven, CT............................ 24.8 373.4 0.7 215 1,131 0.9 316

New London, CT.......................... 7.7 124.2 -0.1 303 1,064 1.9 265

New Castle, DE............................ 20.7 296.1 0.7 215 1,228 2.7 203

Sussex, DE.................................. 7.3 79.9 3.1 24 833 2.5 220

Washington, DC........................... 40.3 775.1 0.6 227 1,943 7.3 12

Alachua, FL.................................. 7.4 133.9 1.8 100 956 4.6 65

Bay, FL......................................... 5.8 73.5 -5.6 349 852 7.4 11

Brevard, FL................................... 16.2 220.9 3.9 9 995 1.9 265

Broward, FL.................................. 71.0 828.2 1.3 149 1,064 2.4 227

Collier, FL..................................... 14.7 155.8 2.7 36 1,002 4.0 89

Duval, FL..................................... 30.1 528.1 2.4 50 1,060 2.5 220

Escambia, FL............................... 8.3 137.3 1.7 114 897 3.1 164

Hillsborough, FL........................... 44.3 705.2 1.6 126 1,079 2.8 194

Lake, FL....................................... 8.5 101.6 2.1 69 778 4.7 62

Lee, FL......................................... 23.1 270.5 2.0 81 897 2.6 210

Leon, FL....................................... 8.8 153.9 2.1 69 911 2.0 257

Manatee, FL................................. 11.3 128.8 2.3 54 850 3.7 104

Marion, FL.................................... 8.6 106.3 2.2 60 770 2.1 249

Miami-Dade, FL............................ 101.0 1,169.8 1.4 139 1,104 2.8 194

Okaloosa, FL................................ 6.6 84.1 1.2 161 931 6.4 18

Orange, FL................................... 44.1 865.6 2.2 60 1,006 3.6 113

Osceola, FL.................................. 7.4 97.7 3.4 17 753 1.6 287

Palm Beach, FL............................ 58.1 622.1 1.8 100 1,122 2.8 194

Pasco, FL..................................... 11.4 123.0 3.1 24 782 3.0 176

Pinellas, FL................................... 34.1 440.6 1.4 139 1,026 4.1 84

Polk, FL........................................ 13.8 228.2 3.1 24 833 1.2 306

Sarasota, FL................................ 16.5 174.8 1.9 86 978 3.9 97

Seminole, FL................................ 15.4 199.2 2.1 69 968 4.0 89

Volusia, FL................................... 14.8 176.0 1.9 86 805 2.0 257

Bibb, GA....................................... 4.3 82.9 -0.6 335 867 3.7 104

Chatham, GA................................ 8.2 157.2 1.3 149 933 2.5 220

Clayton, GA.................................. 4.0 124.5 1.5 134 1,024 3.3 146

Cobb, GA...................................... 22.1 369.2 1.3 149 1,156 2.8 194

DeKalb, GA................................. 17.8 303.1 0.1 282 1,127 4.1 84

Fulton, GA.................................... 43.4 889.3 1.9 86 1,480 1.7 279

Gwinnett, GA................................ 25.0 358.2 0.3 258 1,068 2.0 257

Hall, GA....................................... 4.4 90.0 2.3 54 997 2.6 210

Muscogee, GA.............................. 4.5 95.0 0.9 185 844 -3.7 347

Richmond, GA.............................. 4.5 105.8 -0.3 318 902 1.7 279

Honolulu, HI.................................. 26.4 483.6 0.6 227 1,059 2.9 187

Maui + Kalawao, HI...................... 6.3 78.8 0.2 273 908 5.2 47

Ada, ID......................................... 16.9 248.4 3.7 12 1,087 3.4 137

Champaign, IL.............................. 4.1 91.4 -0.1 303 952 2.1 249

Cook, IL........................................ 138.1 2,625.3 0.6 227 1,335 3.7 104

DuPage, IL................................. 34.5 620.1 -0.3 318 1,280 3.6 113

Kane, IL........................................ 12.5 214.3 -0.3 318 1,012 1.2 306

Lake, IL........................................ 20.2 339.5 0.5 242 1,449 3.6 113

McHenry, IL.................................. 7.8 96.8 -1.2 346 909 1.9 265

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

McLean, IL.................................... 3.4 82.7 -1.1 345 $959 1.5 292

Madison, IL................................... 5.4 101.5 -1.0 342 902 5.7 31

Peoria, IL...................................... 4.2 106.2 -0.1 303 1,107 -0.1 335

St. Clair, IL.................................... 5.1 93.9 -0.1 303 867 0.3 329

Sangamon, IL............................... 4.8 129.3 -0.5 332 1,065 0.2 331

Will, IL.......................................... 14.8 249.1 -0.3 318 961 1.3 301

Winnebago, IL.............................. 5.9 127.1 -0.9 340 975 7.6 10

Allen, IN........................................ 9.0 191.7 1.9 86 917 3.6 113

Elkhart, IN..................................... 4.8 136.7 -1.0 342 936 -5.0 348

Hamilton, IN.................................. 9.6 142.9 1.7 114 1,049 1.7 279

Lake, IN........................................ 10.5 189.9 0.6 227 984 5.9 30

Marion, IN..................................... 24.4 604.9 0.3 258 1,114 2.6 210

St. Joseph, IN............................... 5.8 125.3 1.5 134 901 2.2 239

Tippecanoe, IN............................. 3.5 86.4 1.7 114 1,057 15.1 1

Vanderburgh, IN........................... 4.8 110.9 0.8 198 882 -2.6 344

Johnson, IA.................................. 4.3 83.9 -1.5 347 1,001 3.1 164

Linn, IA......................................... 7.0 131.9 0.3 258 1,162 3.8 101

Polk, IA........................................ 17.8 303.5 0.7 215 1,140 2.2 239

Scott, IA........................................ 5.7 92.1 0.7 215 931 3.6 113

Johnson, KS................................. 24.1 354.2 0.8 198 1,128 3.3 146

Sedgwick, KS............................... 12.7 255.7 1.8 100 946 3.4 137

Shawnee, KS................................ 5.1 97.2 0.1 282 892 3.2 155

Wyandotte, KS............................. 3.5 92.6 1.3 149 1,083 6.4 18

Boone, KY................................... 4.4 97.0 0.2 273 932 3.4 137

Fayette, KY................................... 11.1 194.6 -0.3 318 986 1.8 274

Jefferson, KY................................ 25.2 474.7 0.2 273 1,093 3.5 128

Caddo, LA.................................... 7.4 112.9 -0.2 312 903 3.3 146

Calcasieu, LA............................... 5.4 102.3 1.5 134 1,030 6.1 22

East Baton Rouge, LA.................. 16.1 270.8 1.4 139 1,077 6.5 17

Jefferson, LA................................ 14.2 191.0 0.0 297 1,008 3.5 128

Lafayette, LA................................ 10.0 133.1 2.3 54 976 3.1 164

Orleans, LA.................................. 13.3 198.6 0.4 251 1,043 1.3 301

St. Tammany, LA.......................... 8.7 90.5 1.9 86 956 4.9 58

Cumberland, ME.......................... 13.7 186.6 0.3 258 1,030 2.2 239

Anne Arundel, MD........................ 15.3 276.2 1.1 167 1,190 1.0 314

Baltimore, MD............................... 21.3 384.7 0.2 273 1,149 2.7 203

Frederick, MD............................... 6.5 103.8 1.0 175 1,008 1.9 265

Harford, MD.................................. 5.9 96.8 1.0 175 1,022 2.2 239

Howard, MD................................. 10.1 171.6 0.4 251 1,364 2.2 239

Montgomery, MD.......................... 32.9 475.9 0.5 242 1,498 1.0 314

Prince George's, MD.................... 16.2 324.8 0.9 185 1,153 2.5 220

Baltimore City, MD....................... 13.7 345.0 -0.1 303 1,358 -0.3 337

Barnstable, MA............................. 9.6 91.8 -0.4 329 1,001 4.1 84

Bristol, MA.................................... 18.0 233.2 0.9 185 1,021 3.8 101

Essex, MA.................................... 27.1 327.1 -0.6 335 1,192 2.8 194

Hampden, MA.............................. 19.0 214.3 1.1 167 980 1.6 287

Middlesex, MA.............................. 56.7 937.8 1.8 100 1,660 3.3 146

Norfolk, MA................................... 25.7 356.9 0.1 282 1,413 2.2 239

Plymouth, MA............................... 16.4 195.5 -0.1 303 1,069 3.6 113

Suffolk, MA................................... 31.4 689.4 2.1 69 2,055 3.4 137

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

Worcester, MA.............................. 26.5 354.2 0.2 273 $1,090 1.6 287

Genesee, MI................................. 6.8 136.4 0.4 251 923 2.4 227

Ingham, MI................................... 6.0 152.6 0.1 282 1,077 3.0 176

Kalamazoo, MI............................. 5.0 120.5 0.6 227 1,032 3.2 155

Kent, MI....................................... 14.8 409.3 1.8 100 988 2.8 194

Macomb, MI.................................. 17.7 332.1 0.7 215 1,112 2.0 257

Oakland, MI.................................. 39.9 744.6 0.9 185 1,262 0.5 322

Ottawa, MI.................................... 5.8 125.9 1.2 161 984 0.8 319

Saginaw, MI.................................. 3.9 84.9 -0.2 312 925 3.1 164

Washtenaw, MI............................. 8.3 218.4 0.9 185 1,172 3.4 137

Wayne, MI.................................... 31.6 734.9 0.9 185 1,218 0.9 316

Anoka, MN.................................... 7.6 127.0 1.9 86 1,048 1.7 279

Dakota, MN.................................. 10.4 190.8 0.3 258 1,163 10.8 5

Hennepin, MN.............................. 42.0 942.9 1.4 139 1,367 2.2 239

Olmsted, MN................................ 3.7 99.8 1.1 167 1,261 13.0 3

Ramsey, MN................................. 14.1 334.5 0.3 258 1,224 1.9 265

St. Louis, MN................................ 5.4 98.6 0.7 215 953 6.2 21

Stearns, MN................................. 4.4 87.5 0.7 215 929 2.1 249

Washington, MN........................... 5.9 87.9 0.2 273 962 1.4 296

Harrison, MS................................ 4.7 85.9 0.1 282 774 3.2 155

Hinds, MS..................................... 5.8 121.0 -0.7 338 911 3.2 155

Boone, MO................................... 4.9 94.5 -0.1 303 890 5.1 51

Clay, MO...................................... 5.8 105.1 0.0 297 960 5.4 37

Greene, MO.................................. 9.1 170.7 2.4 50 854 1.3 301

Jackson, MO................................ 22.4 374.4 0.5 242 1,153 3.5 128

St. Charles, MO............................ 9.7 150.0 1.3 149 878 3.7 104

St. Louis, MO................................ 39.9 613.3 0.2 273 1,228 5.0 56

St. Louis City, MO........................ 14.9 231.0 0.8 198 1,182 2.2 239

Yellowstone, MT........................... 6.9 81.2 -0.3 318 974 5.4 37

Douglas, NE................................. 18.8 342.8 0.3 258 1,039 3.0 176

Lancaster, NE............................... 10.2 172.4 0.5 242 904 2.6 210

Clark, NV..................................... 56.2 1,015.8 3.3 20 988 5.3 43

Washoe, NV................................. 15.0 225.5 1.8 100 1,026 5.2 47

Hillsborough, NH.......................... 12.3 207.6 0.8 198 1,247 0.4 325

Merrimack, NH............................. 5.2 78.3 0.1 282 1,067 1.5 292

Rockingham, NH.......................... 11.1 151.1 0.3 258 1,151 3.0 176

Atlantic, NJ................................... 6.6 128.1 4.6 3 933 1.9 265

Bergen, NJ................................... 33.3 457.0 0.5 242 1,321 1.4 296

Burlington, NJ............................... 11.1 202.7 0.0 297 1,148 1.2 306

Camden, NJ................................. 12.3 209.1 0.2 273 1,118 1.9 265

Essex, NJ.................................... 20.8 348.5 0.3 258 1,374 4.2 80

Gloucester, NJ.............................. 6.4 114.0 1.1 167 942 1.4 296

Hudson, NJ................................... 15.3 271.5 1.7 114 1,445 3.1 164

Mercer, NJ.................................... 11.2 259.2 0.8 198 1,439 7.1 13

Middlesex, NJ.............................. 22.6 446.0 0.9 185 1,291 2.4 227

Monmouth, NJ.............................. 20.3 262.8 0.2 273 1,130 2.7 203

Morris, NJ..................................... 17.2 295.4 -0.2 312 1,620 2.1 249

Ocean, NJ.................................... 13.7 168.6 1.6 126 907 2.6 210

Passaic, NJ.................................. 12.6 169.0 -0.5 332 1,082 1.3 301

Somerset, NJ............................... 10.3 191.5 0.7 215 1,625 3.2 155

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

Union, NJ..................................... 14.6 230.5 0.3 258 $1,359 -0.4 339

Bernalillo, NM............................... 19.3 332.5 0.8 198 944 3.5 128

Albany, NY................................... 10.3 236.1 -0.2 312 1,165 2.6 210

Bronx, NY..................................... 19.1 326.6 1.0 175 1,111 1.6 287

Broome, NY.................................. 4.5 87.5 0.6 227 876 3.2 155

Dutchess, NY............................... 8.4 115.9 0.7 215 1,048 1.5 292

Erie, NY........................................ 24.6 476.9 0.1 282 1,004 3.1 164

Kings, NY..................................... 64.4 793.1 1.4 139 992 1.8 274

Monroe, NY.................................. 18.9 394.0 0.4 251 1,018 2.1 249

Nassau, NY.................................. 54.4 646.4 0.3 258 1,259 1.2 306

New York, NY............................... 128.3 2,521.0 0.7 215 2,400 -3.3 345

Oneida, NY................................... 5.3 106.6 0.0 297 867 3.3 146

Onondaga, NY.............................. 12.8 250.3 0.6 227 1,054 3.7 104

Orange, NY.................................. 10.6 148.5 1.0 175 966 5.0 56

Queens, NY.................................. 53.9 716.6 1.7 114 1,132 2.4 227

Richmond, NY.............................. 10.0 127.6 2.6 41 1,081 3.4 137

Rockland, NY............................... 11.0 129.2 1.7 114 1,044 1.6 287

Saratoga, NY................................ 6.0 89.2 0.6 227 1,009 2.9 187

Suffolk, NY................................... 53.4 669.0 0.1 282 1,244 1.7 279

Westchester, NY.......................... 36.4 437.9 0.8 198 1,464 -0.7 340

Buncombe, NC............................. 9.4 134.3 1.9 86 896 5.2 47

Cabarrus, NC............................... 4.7 80.4 2.7 36 813 3.2 155

Catawba, NC................................ 4.4 89.5 1.3 149 862 2.3 236

Cumberland, NC........................... 6.1 121.2 -0.1 303 879 6.8 15

Durham, NC................................. 8.5 207.9 3.0 28 1,357 5.4 37

Forsyth, NC.................................. 9.2 188.8 0.9 185 1,010 0.4 325

Guilford, NC.................................. 14.4 284.5 0.6 227 961 1.7 279

Mecklenburg, NC.......................... 38.0 706.6 2.1 69 1,271 3.5 128

New Hanover, NC........................ 8.3 115.6 2.2 60 912 4.1 84

Pitt, NC....................................... 3.8 78.7 2.2 60 900 4.5 69

Wake, NC..................................... 34.9 566.6 1.6 126 1,252 11.9 4

Cass, ND...................................... 7.4 120.0 1.7 114 1,024 3.4 137

Butler, OH..................................... 7.9 157.4 -0.2 312 962 3.6 113

Cuyahoga, OH.............................. 36.1 730.2 0.6 227 1,145 1.9 265

Delaware, OH............................... 5.5 89.0 1.1 167 1,064 4.0 89

Franklin, OH................................. 32.9 768.3 1.4 139 1,089 3.1 164

Hamilton, OH................................ 24.0 522.5 0.6 227 1,219 5.4 37

Lake, OH...................................... 6.2 96.6 1.1 167 921 3.4 137

Lorain, OH.................................... 6.2 98.4 0.7 215 865 4.0 89

Lucas, OH.................................... 10.1 211.3 -0.3 318 940 2.4 227

Mahoning, OH.............................. 5.9 97.7 -0.5 332 798 3.0 176

Montgomery, OH.......................... 11.9 256.3 0.0 297 954 3.6 113

Stark, OH..................................... 8.6 160.6 -0.3 318 851 2.3 236

Summit, OH................................. 14.3 268.8 0.1 282 997 3.7 104

Warren, OH................................. 5.3 94.6 2.3 54 1,020 6.6 16

Cleveland, OK.............................. 5.9 83.9 2.6 41 802 4.4 74

Oklahoma, OK.............................. 28.3 463.3 1.4 139 1,048 2.8 194

Tulsa, OK..................................... 22.8 365.8 2.1 69 1,002 3.6 113

Clackamas, OR............................ 15.6 167.3 1.1 167 1,073 4.7 62

Deschutes, OR............................. 9.1 83.7 2.8 32 916 4.4 74

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

Jackson, OR................................ 7.8 90.2 0.9 185 $843 1.3 301

Lane, OR...................................... 12.6 157.7 0.7 215 884 2.6 210

Marion, OR................................... 11.4 156.9 2.6 41 940 4.4 74

Multnomah, OR............................ 36.3 519.7 1.8 100 1,208 5.4 37

Washington, OR........................... 20.1 300.3 1.8 100 1,312 0.4 325

Allegheny, PA............................... 35.7 708.2 1.0 175 1,205 2.9 187

Berks, PA..................................... 8.9 175.9 0.5 242 987 1.8 274

Bucks, PA..................................... 20.2 269.8 1.9 86 1,053 2.2 239

Butler, PA..................................... 5.1 86.5 -0.4 329 1,031 2.4 227

Chester, PA.................................. 15.8 254.7 1.2 161 1,381 2.5 220

Cumberland, PA........................... 6.6 136.7 1.0 175 1,001 2.1 249

Dauphin, PA................................ 7.5 186.9 2.1 69 1,095 2.7 203

Delaware, PA............................... 14.2 228.5 0.8 198 1,159 0.9 316

Erie, PA........................................ 6.9 122.5 0.3 258 840 3.6 113

Lackawanna, PA.......................... 5.6 99.1 -0.3 318 852 2.4 227

Lancaster, PA............................... 13.7 246.0 1.7 114 927 2.9 187

Lehigh, PA.................................... 8.8 194.9 0.8 198 1,084 -0.1 335

Luzerne, PA.................................. 7.4 146.4 -0.3 318 877 4.9 58

Montgomery, PA........................... 27.9 505.1 1.0 175 1,363 3.0 176

Northampton, PA.......................... 6.8 118.5 2.1 69 948 3.0 176

Philadelphia, PA........................... 34.6 700.1 2.0 81 1,314 2.1 249

Washington, PA............................ 5.5 88.6 0.5 242 1,103 -6.6 349

Westmoreland, PA....................... 9.3 134.0 -0.3 318 913 3.0 176

York, PA....................................... 9.2 181.4 0.1 282 985 3.2 155

Kent, RI....................................... 5.5 77.9 0.8 198 950 2.0 257

Providence, RI.............................. 18.7 291.3 0.3 258 1,114 -0.3 337

Charleston, SC............................. 16.7 257.8 3.4 17 1,002 3.0 176

Greenville, SC.............................. 15.1 279.6 2.7 36 961 0.6 320

Horry, SC..................................... 9.6 126.6 3.2 22 685 1.8 274

Lexington, SC............................... 7.1 122.0 0.4 251 837 3.7 104

Richland, SC................................ 10.8 224.8 0.9 185 925 1.5 292

Spartanburg, SC........................... 6.7 146.0 3.5 15 905 0.3 329

York, SC....................................... 6.4 98.5 5.1 2 904 2.7 203

Minnehaha, SD............................. 7.5 128.6 1.4 139 979 3.1 164

Davidson, TN................................ 23.9 507.5 3.3 20 1,229 2.5 220

Hamilton, TN................................ 10.0 209.9 2.4 50 1,026 -1.3 342

Knox, TN...................................... 12.8 243.2 1.0 175 999 2.0 257

Rutherford, TN.............................. 5.9 133.2 1.6 126 981 3.7 104

Shelby, TN.................................... 21.0 508.4 0.8 198 1,157 4.1 84

Williamson, TN............................. 9.3 138.6 4.3 7 1,423 13.1 2

Bell, TX......................................... 5.6 120.3 0.8 198 958 3.3 146

Bexar, TX..................................... 42.6 879.4 1.6 126 1,022 4.5 69

Brazoria, TX................................. 6.1 115.0 4.4 5 1,149 0.0 333

Brazos, TX.................................... 4.7 108.1 2.6 41 807 0.0 333

Cameron, TX................................ 6.6 140.7 1.3 149 685 4.3 78

Collin, TX...................................... 26.6 424.3 2.8 32 1,291 3.1 164

Dallas, TX..................................... 78.6 1,741.5 1.9 86 1,353 2.7 203

Denton, TX.................................. 15.7 252.4 3.4 17 1,019 2.0 257

El Paso, TX.................................. 15.5 311.9 1.7 114 775 3.6 113

Fort Bend, TX............................... 14.0 195.5 4.3 7 1,033 2.5 220

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 350 largest counties,

fourth quarter 2018 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-183

Ranking by

percent

change

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-183

Ranking by

percent

change

Galveston, TX............................... 6.3 110.0 0.9 185 $972 1.9 265

Harris, TX..................................... 116.8 2,346.8 2.1 69 1,390 3.1 164

Hidalgo, TX................................... 12.6 267.0 1.8 100 680 2.9 187

Jefferson, TX................................ 5.9 123.9 1.0 175 1,136 1.1 310

Lubbock, TX................................. 7.7 141.5 1.0 175 885 2.7 203

McLennan, TX.............................. 5.4 115.2 1.8 100 916 1.1 310

Midland, TX.................................. 5.9 107.6 10.0 1 1,499 10.7 6

Montgomery, TX........................... 11.9 191.7 2.8 32 1,116 3.3 146

Nueces, TX.................................. 8.3 165.8 1.1 167 959 3.3 146

Potter, TX..................................... 4.0 78.4 0.5 242 934 3.5 128

Smith, TX..................................... 6.4 105.8 0.8 198 930 5.4 37

Tarrant, TX................................... 44.7 915.7 2.2 60 1,105 3.1 164

Travis, TX..................................... 42.4 764.4 3.5 15 1,352 5.1 51

Webb, TX..................................... 5.5 103.0 1.3 149 740 5.1 51

Williamson, TX............................. 11.4 177.8 4.4 5 1,083 3.5 128

Davis, UT..................................... 9.0 130.9 2.6 41 931 2.8 194

Salt Lake, UT................................ 48.0 718.2 2.8 32 1,094 3.5 128

Utah, UT....................................... 17.7 250.3 4.5 4 943 6.1 22

Weber, UT.................................... 6.4 108.6 2.2 60 838 3.8 101

Chittenden, VT............................. 7.1 103.1 0.1 282 1,099 4.0 89

Arlington, VA................................ 9.3 179.9 0.8 198 1,870 7.9 9

Chesterfield, VA........................... 9.5 143.5 1.9 86 938 2.2 239

Fairfax, VA.................................... 37.7 619.5 1.2 161 1,684 2.3 236

Henrico, VA.................................. 12.1 193.3 0.1 282 1,075 3.9 97

Loudoun, VA................................ 12.8 171.1 2.7 36 1,356 6.3 20

Prince William, VA........................ 9.6 131.4 1.3 149 995 4.6 65

Alexandria City, VA...................... 6.4 92.0 -1.0 342 1,627 6.1 22

Chesapeake City, VA................... 6.3 102.2 0.1 282 866 1.4 296

Newport News City, VA................ 4.0 103.7 2.6 41 1,076 5.3 43

Norfolk City, VA........................... 6.2 144.0 -0.8 339 1,136 4.5 69

Richmond City, VA....................... 8.1 156.4 0.9 185 1,203 1.8 274

Virginia Beach City, VA................ 12.5 177.9 -0.2 312 879 2.8 194

Benton, WA.................................. 5.9 88.7 2.4 50 1,092 3.6 113

Clark, WA..................................... 15.2 163.9 2.9 30 1,077 5.6 33

King, WA...................................... 89.8 1,415.9 2.9 30 1,694 7.0 14

Kitsap, WA.................................... 6.9 91.3 3.0 28 1,060 6.0 25

Pierce, WA................................... 22.9 313.9 1.8 100 1,032 6.0 25

Snohomish, WA............................ 21.7 290.7 1.9 86 1,192 4.2 80

Spokane, WA............................... 16.4 225.9 2.1 69 958 3.9 97

Thurston, WA............................... 8.4 117.8 2.6 41 1,028 5.5 34

Whatcom, WA.............................. 7.4 91.9 2.3 54 944 4.8 61

Yakima, WA................................. 7.8 107.0 -0.1 303 809 4.5 69

Kanawha, WV............................... 5.7 98.3 -1.5 347 938 4.0 89

Brown, WI..................................... 7.2 161.1 1.9 86 1,030 4.4 74

Dane, WI...................................... 16.3 340.0 0.8 198 1,126 5.2 47

Milwaukee, WI.............................. 27.6 493.5 0.1 282 1,083 2.6 210

Outagamie, WI............................. 5.5 108.8 0.9 185 995 5.3 43

Waukesha, WI.............................. 13.6 246.7 0.6 227 1,136 4.3 78

Winnebago, WI............................. 3.9 94.5 -0.4 329 1,074 3.7 104

San Juan, PR............................... 10.6 251.1 -0.8 (5) 693 1.9 (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 349 U.S. counties comprise 73.2 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

fourth quarter 2018

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-182

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-182

United States3................................................................. 10,169.1 148,061.8 1.5 $1,144 3.2

 Private industry............................................................. 9,869.6 126,030.9 1.6 1,146 2.8

 Natural resources and mining.................................... 139.2 1,839.3 2.0 1,181 4.2

 Construction............................................................... 820.9 7,267.0 3.8 1,319 3.0

 Manufacturing............................................................ 353.6 12,767.4 1.8 1,354 1.9

 Trade, transportation, and utilities.............................. 1,938.5 28,301.1 0.6 938 3.3

 Information................................................................. 175.9 2,817.1 0.1 2,169 5.0

 Financial activities...................................................... 903.0 8,232.3 0.8 1,825 -0.1

 Professional and business services........................... 1,872.3 21,144.1 1.9 1,531 3.0

 Education and health services................................... 1,725.2 22,960.7 1.8 1,023 2.9

 Leisure and hospitality............................................... 868.7 16,005.0 1.6 501 4.2

 Other services............................................................ 860.8 4,500.2 1.1 772 3.6

 Government.................................................................. 299.5 22,030.9 0.5 1,134 4.4

Los Angeles, CA.............................................................. 507.9 4,515.9 1.2 1,380 2.1

 Private industry............................................................. 501.6 3,933.1 1.3 1,367 1.2

 Natural resources and mining.................................... 0.5 6.9 8.4 1,146 3.0

 Construction............................................................... 16.3 147.5 3.9 1,399 5.3

 Manufacturing............................................................ 12.7 338.5 -1.4 1,452 3.6

 Trade, transportation, and utilities.............................. 57.8 870.2 0.3 1,041 4.2

 Information................................................................. 12.0 192.1 1.0 3,090 -3.6

 Financial activities...................................................... 29.1 222.5 -0.8 2,077 -5.0

 Professional and business services........................... 54.2 634.3 1.7 1,810 -0.6

 Education and health services................................... 240.9 817.9 2.5 968 2.5

 Leisure and hospitality............................................... 37.0 539.1 1.7 1,115 1.2

 Other services............................................................ 27.9 152.4 -0.1 806 5.6

 Government.................................................................. 6.3 582.8 0.4 1,466 7.6

Cook, IL........................................................................... 138.1 2,625.3 0.6 1,335 3.7

 Private industry............................................................. 136.8 2,331.5 0.7 1,341 3.6

 Natural resources and mining.................................... 0.1 1.3 7.8 1,313 6.1

 Construction............................................................... 11.0 73.8 1.0 1,698 2.5

 Manufacturing............................................................ 5.7 185.1 0.8 1,400 1.9

 Trade, transportation, and utilities.............................. 28.2 488.8 0.1 1,056 4.5

 Information................................................................. 2.5 52.0 1.2 1,982 3.2

 Financial activities...................................................... 14.0 199.5 0.2 2,485 4.5

 Professional and business services........................... 29.0 488.8 0.8 1,752 2.2

 Education and health services................................... 15.5 456.5 1.3 1,108 6.1

 Leisure and hospitality............................................... 13.8 285.6 1.6 569 2.5

 Other services............................................................ 15.9 99.5 -1.8 1,006 4.1

 Government.................................................................. 1.3 293.8 0.1 1,282 4.8

New York, NY.................................................................. 128.3 2,521.0 0.7 2,400 -3.3

 Private industry............................................................. 126.9 2,286.9 0.8 2,472 -3.8

 Natural resources and mining.................................... 0.0 0.2 16.1 2,098 11.0

 Construction............................................................... 2.3 44.5 2.6 2,361 0.9

 Manufacturing............................................................ 1.9 23.4 -3.7 1,777 2.6

 Trade, transportation, and utilities.............................. 19.0 264.8 -0.6 1,486 -3.6

 Information................................................................. 5.0 177.7 0.1 3,077 10.5

 Financial activities...................................................... 19.3 386.6 1.5 4,764 -15.3

 Professional and business services........................... 27.3 606.6 0.9 2,769 0.7

 Education and health services................................... 10.1 358.8 2.3 1,513 3.8

 Leisure and hospitality............................................... 14.8 313.7 -0.5 1,102 5.2

 Other services............................................................ 20.2 106.1 0.1 1,287 4.2

 Government.................................................................. 1.4 234.1 -0.3 1,703 2.7

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

fourth quarter 2018 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-182

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-182

Harris, TX........................................................................ 116.8 2,346.8 2.1 $1,390 3.1

 Private industry............................................................. 116.3 2,065.9 2.3 1,413 3.0

 Natural resources and mining.................................... 1.6 67.7 1.8 3,278 0.7

 Construction............................................................... 7.6 163.3 4.4 1,534 3.8

 Manufacturing............................................................ 4.8 178.0 4.2 1,690 1.6

 Trade, transportation, and utilities.............................. 25.2 487.5 1.1 1,201 2.6

 Information................................................................. 1.2 26.1 -2.9 1,527 -1.9

 Financial activities...................................................... 12.3 129.4 0.7 1,896 4.9

 Professional and business services........................... 23.4 406.1 2.6 1,860 4.0

 Education and health services................................... 16.4 299.3 2.1 1,119 2.6

 Leisure and hospitality............................................... 10.5 237.3 3.0 510 4.1

 Other services............................................................ 11.8 68.0 2.2 875 4.0

 Government.................................................................. 0.5 280.9 0.6 1,223 4.2

Maricopa, AZ.................................................................... 102.3 2,060.6 3.2 1,064 3.9

 Private industry............................................................. 101.6 1,844.9 3.5 1,064 3.7

 Natural resources and mining.................................... 0.4 8.1 -3.3 1,040 8.3

 Construction............................................................... 8.1 125.8 7.9 1,247 5.1

 Manufacturing............................................................ 3.3 125.3 2.7 1,477 3.7

 Trade, transportation, and utilities.............................. 19.9 409.7 3.9 950 2.9

 Information................................................................. 1.8 37.8 2.1 1,456 3.6

 Financial activities...................................................... 12.9 185.9 2.6 1,375 2.2

 Professional and business services........................... 24.2 349.8 3.0 1,189 4.8

 Education and health services................................... 12.5 322.4 3.9 1,037 2.5

 Leisure and hospitality............................................... 8.8 224.5 2.3 521 5.3

 Other services............................................................ 6.9 54.0 2.6 781 3.9

 Government.................................................................. 0.7 215.6 0.7 1,063 5.5

Dallas, TX........................................................................ 78.6 1,741.5 1.9 1,353 2.7

 Private industry............................................................. 78.0 1,565.5 2.0 1,362 2.4

 Natural resources and mining.................................... 0.5 9.2 14.9 3,335 2.1

 Construction............................................................... 4.8 89.4 1.5 1,439 1.2

 Manufacturing............................................................ 2.8 113.7 1.5 1,523 -4.0

 Trade, transportation, and utilities.............................. 16.0 368.3 2.0 1,133 4.9

 Information................................................................. 1.4 48.5 -3.0 1,912 3.4

 Financial activities...................................................... 9.7 167.1 0.0 1,846 2.7

 Professional and business services........................... 17.9 358.6 3.3 1,670 3.1

 Education and health services................................... 9.7 202.6 2.1 1,235 2.2

 Leisure and hospitality............................................... 7.1 162.1 1.8 569 1.4

 Other services............................................................ 7.0 43.6 1.0 856 -0.8

 Government.................................................................. 0.5 176.0 0.9 1,267 4.6

Orange, CA...................................................................... 126.1 1,647.4 0.8 1,251 0.6

 Private industry............................................................. 124.7 1,501.6 0.9 1,247 0.1

 Natural resources and mining.................................... 0.2 2.1 -4.7 920 -0.5

 Construction............................................................... 7.5 105.3 0.9 1,554 5.6

 Manufacturing............................................................ 5.3 163.1 -0.6 1,652 -1.3

 Trade, transportation, and utilities.............................. 18.1 268.0 -0.6 1,080 3.8

 Information................................................................. 1.5 26.3 -2.0 1,994 -4.1

 Financial activities...................................................... 12.8 117.2 -2.9 2,051 -6.1

 Professional and business services........................... 22.9 321.9 1.9 1,444 1.1

 Education and health services................................... 36.6 223.1 3.3 1,021 -0.7

 Leisure and hospitality............................................... 9.3 224.0 2.1 538 4.7

 Other services............................................................ 7.2 47.0 0.5 757 2.6

 Government.................................................................. 1.4 145.9 -0.3 1,288 5.1

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

fourth quarter 2018 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-182

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-182

San Diego, CA................................................................ 115.0 1,485.8 1.6 $1,260 3.2

 Private industry............................................................. 113.0 1,248.4 1.7 1,228 2.5

 Natural resources and mining.................................... 0.7 8.9 1.7 833 -0.2

 Construction............................................................... 7.7 83.6 1.6 1,327 0.4

 Manufacturing............................................................ 3.5 112.9 1.8 1,686 1.8

 Trade, transportation, and utilities.............................. 15.1 232.8 0.0 919 3.8

 Information................................................................. 1.3 23.6 -2.1 2,041 0.7

 Financial activities...................................................... 10.9 75.6 -0.8 1,682 5.5

 Professional and business services........................... 20.4 250.7 3.1 1,881 1.5

 Education and health services................................... 33.8 207.2 2.6 1,037 1.6

 Leisure and hospitality............................................... 8.9 198.8 2.0 551 4.8

 Other services............................................................ 7.7 51.7 1.2 678 3.4

 Government.................................................................. 2.0 237.5 1.0 1,423 6.4

King, WA......................................................................... 89.8 1,415.9 2.9 1,694 7.0

 Private industry............................................................. 89.2 1,245.0 3.1 1,727 7.2

 Natural resources and mining.................................... 0.4 2.9 -3.3 1,434 7.1

 Construction............................................................... 6.9 75.3 6.1 1,546 6.4

 Manufacturing............................................................ 2.5 104.2 2.8 1,711 1.8

 Trade, transportation, and utilities.............................. 14.0 277.4 1.2 1,780 4.0

 Information................................................................. 2.5 113.7 8.5 3,574 14.9

 Financial activities...................................................... 6.8 69.9 1.7 1,911 4.0

 Professional and business services........................... 18.5 233.4 2.8 2,054 7.9

 Education and health services................................... 20.8 179.2 3.0 1,134 4.1

 Leisure and hospitality............................................... 7.5 143.6 3.1 638 5.1

 Other services............................................................ 9.3 45.3 1.3 931 5.8

 Government.................................................................. 0.6 170.9 1.6 1,454 5.1

Miami-Dade, FL............................................................... 101.0 1,169.8 1.4 1,104 2.8

 Private industry............................................................. 100.7 1,029.1 1.5 1,091 2.6

 Natural resources and mining.................................... 0.5 9.0 -0.2 678 5.8

 Construction............................................................... 7.1 51.3 5.5 1,075 3.7

 Manufacturing............................................................ 2.9 41.1 2.6 1,007 2.7

 Trade, transportation, and utilities.............................. 24.9 297.9 1.5 970 3.0

 Information................................................................. 1.6 19.4 5.4 1,640 -7.0

 Financial activities...................................................... 10.8 76.6 0.3 1,835 7.8

 Professional and business services........................... 23.0 165.1 1.2 1,442 4.5

 Education and health services................................... 11.0 184.5 1.1 1,061 -0.9

 Leisure and hospitality............................................... 7.5 142.5 0.8 669 0.1

 Other services............................................................ 8.6 39.5 -0.7 689 2.2

 Government.................................................................. 0.3 140.7 0.4 1,199 3.9

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 2017 annual average employment. Includes workers covered by Unemployment Insurance

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

fourth quarter 2018

Employment Average weekly wage 1

State

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-18

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-18

United States2.......................................... 10,169.1 148,061.8 1.5 $1,144 3.2

Alabama.................................................... 128.6 1,986.6 1.6 957 3.1

Alaska........................................................ 22.2 308.3 0.4 1,103 4.9

Arizona...................................................... 164.4 2,921.1 3.0 1,017 4.1

Arkansas................................................... 91.6 1,227.0 0.8 869 2.4

California................................................... 1,591.7 17,556.7 1.7 1,392 3.3

Colorado.................................................... 205.5 2,713.7 2.2 1,180 4.1

Connecticut............................................... 121.5 1,697.9 0.5 1,334 1.3

Delaware................................................... 33.5 451.2 1.1 1,107 2.4

District of Columbia................................... 40.3 775.1 0.6 1,943 7.3

Florida....................................................... 707.3 8,902.7 2.1 1,006 3.1

Georgia...................................................... 285.3 4,499.8 1.8 1,053 2.4

Hawaii........................................................ 43.3 669.3 0.6 1,016 3.3

Idaho......................................................... 65.2 734.4 3.2 890 3.6

Illinois........................................................ 372.6 6,026.0 0.3 1,189 3.3

Indiana....................................................... 168.4 3,086.2 0.9 941 2.8

Iowa........................................................... 103.5 1,558.4 0.5 966 3.0

Kansas...................................................... 89.8 1,402.2 0.8 927 3.7

Kentucky.................................................... 121.3 1,914.0 0.3 924 3.2

Louisiana................................................... 134.2 1,934.1 0.7 968 3.8

Maine......................................................... 53.3 618.4 1.3 906 2.5

Maryland.................................................... 172.9 2,702.5 0.8 1,228 1.7

Massachusetts.......................................... 262.1 3,620.3 1.0 1,457 3.3

Michigan.................................................... 250.4 4,366.5 1.0 1,077 1.3

Minnesota.................................................. 179.2 2,902.3 0.9 1,140 3.6

Mississippi................................................. 75.1 1,144.3 0.2 793 2.5

Missouri..................................................... 207.4 2,821.3 0.5 980 3.6

Montana.................................................... 51.6 468.8 1.6 888 5.2

Nebraska................................................... 71.6 983.0 0.2 930 3.2

Nevada...................................................... 82.8 1,397.4 3.3 1,006 5.3

New Hampshire......................................... 53.6 666.0 0.7 1,158 2.3

New Jersey............................................... 275.3 4,125.6 0.8 1,298 2.7

New Mexico............................................... 60.6 830.2 1.5 905 4.6

New York.................................................. 648.8 9,613.2 1.5 1,445 1.0

North Carolina........................................... 277.0 4,458.9 1.6 1,013 5.1

North Dakota............................................. 32.0 422.3 1.5 1,057 4.7

Ohio........................................................... 298.4 5,442.9 0.5 1,006 3.4

Oklahoma.................................................. 111.1 1,632.3 1.5 932 4.1

Oregon...................................................... 158.5 1,935.8 1.7 1,052 3.7

Pennsylvania............................................. 359.3 5,932.5 1.0 1,103 2.6

Rhode Island............................................. 38.3 487.2 0.8 1,085 2.6

South Carolina.......................................... 140.0 2,119.6 2.8 893 1.9

South Dakota............................................ 34.0 428.4 1.2 885 3.4

Tennessee................................................. 164.2 3,039.8 1.8 1,030 3.0

Texas......................................................... 700.3 12,531.7 2.5 1,148 3.5

Utah........................................................... 107.2 1,511.5 3.2 972 3.8

Vermont..................................................... 25.9 314.2 -0.4 954 3.2

Virginia...................................................... 283.3 3,927.2 1.1 1,164 3.8

Washington............................................... 249.3 3,384.2 2.4 1,292 6.3

West Virginia............................................. 51.3 704.2 1.5 917 8.3

Wisconsin.................................................. 177.8 2,892.3 0.6 989 4.0

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

fourth quarter 2018 - Continued

Employment Average weekly wage 1

State

Establishments,

fourth quarter

2018

(thousands)

December

2018

(thousands)

Percent

change,

December

2017-18

Fourth

quarter

2018

Percent

change,

fourth quarter

2017-18

Wyoming................................................... 26.4 272.1 1.8 $978 4.4

Puerto Rico............................................... 44.7 896.4 0.8 576 0.9

Virgin Islands............................................ 3.4 34.5 0.5 925 2.3

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.