For release 10:00 a.m. (ET), Wednesday, August 19, 2020 USDL-20-1588

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

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

COUNTY EMPLOYMENT AND WAGES – FIRST QUARTER 2020

From March 2019 to March 2020, employment increased in 202 of the 357 largest U.S. counties, the 

U.S. Bureau of Labor Statistics reported today. In March 2020, national employment (as measured by 

the QCEW program) increased to 147.1 million, a 0.4-percent increase over the year. St. Johns, FL, had 

the largest over-the-year increase in employment with a gain of 3.7 percent. Employment data in this 

release are presented for March 2020, and average weekly wage data are presented for first quarter 2020.

Among the 357 largest counties, 335 had over-the-year increases in average weekly wages. In the first

quarter of 2020, average weekly wages for the nation increased to $1,222, a 3.3-percent increase over 

the year. McLean, IL, had the largest first quarter over-the-year wage gain at 13.3 percent. (See table 1.)

Chart 1. Percent change in employment, March 2019 to March 2020, by largest gains and losses

-6% -4% -2% 0% 2% 4%

Ector, TX

Calcasieu, LA

Elkhart, IN

East Baton Rouge, LA

Midland, TX

Madison, AL

Davis, UT

Williamson, TX

Benton, AR

Ada, ID

Adams, CO

Cleveland, OK

Yakima, WA

Deschutes, OR

St. Johns, FL
- 2 -

Large County Employment in March 2020

St. Johns, FL, had the largest over-the-year percentage increase in employment (+3.7 percent). Within

St. Johns, the largest employment increase occurred in leisure and hospitality, which gained 599 jobs 

over the year (+3.8 percent).

Ector, TX, experienced the largest over-the-year percentage decrease in employment, with a loss of 5.5

percent. Within Ector, natural resources and mining had the largest employment decrease with a loss of 

2,263 jobs (-15.2 percent).

Large County Average Weekly Wage in First Quarter 2020

McLean, IL, had the largest over-the-year percentage increase in average weekly wages (+13.3 percent). 

Within McLean, an average weekly wage gain of $491 (+21.9 percent) in financial activities made the 

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

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

12.8 percent. Within Peoria, manufacturing had the largest impact, with an average weekly wage 

decrease of $1,253 (-29.2 percent) over the year.

Chart 2. Percent change in average weekly wage, first quarter 2019 to first quarter 2020, by largest gains 

and losses

-13% -11% -9% -7% -5% -3% -1% 1% 3% 5% 7% 9% 11% 13%

Peoria, IL

Vanderburgh, IN

Utah, UT

Snohomish, WA

Oklahoma, OK

Boone, MO

Stearns, MN

Brevard, FL

Hall, GA

Kitsap, WA

Williamson, TX

Weld, CO

Santa Cruz, CA

San Mateo, CA

Morris, NJ

Union, NJ

McLean, IL
- 3 -

Ten Largest Counties

Six of the 10 largest counties had over-the-year percentage increases in employment. In March 2020, 

Maricopa, AZ, had the largest over-the-year employment percentage gain among the 10 largest counties 

(+2.5 percent). Within Maricopa, education and health services had the largest employment increase 

with a gain of 13,126 jobs (+4.0 percent). (See table 2.)

All of the 10 largest counties had over-the-year percentage increases in average weekly wages. In first

quarter 2020, San Diego, CA, experienced the largest over-the-year percentage gain in average weekly 

wages among the 10 largest counties (+5.6 percent). Within San Diego, professional and business 

services had the largest impact, with an average weekly wage increase of $149 (+8.4 percent) over the 

year.

For More Information

The tables and charts included in this release contain data for the nation and for the 357 U.S. counties 

with annual average employment levels of 75,000 or more in 2019. March 2020 employment and first

quarter 2020 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/data-tools/cbb.html. 

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

____________

The County Employment and Wages full data update for first quarter 2020 is scheduled to be 

released on Wednesday, September 2, 2020, at 10:00 a.m. (ET). 

The County Employment and Wages news release for second quarter 2020 is scheduled to be 

released on Wednesday, November 18, 2020, at 10:00 a.m. (ET). 

County Changes for the 2020 County Employment and Wages News Releases

Counties with annual average employment of 75,000 or more in 2019 are included in this

release and will be included in future 2020 releases. Three counties have been added to the 

publication tables: Baldwin, AL; Iredell, NC; and Gregg, TX. One county has been dropped 

from the publication tables: Bay, FL. 
- 4 -

Special Notice: Possible Imputation Methodology Improvements

QCEW may implement improvements to imputation methodology, effective with second 

quarter 2020 processing. QCEW imputation creates estimated values for non-respondent 

employers for the first two quarters of non-response. Usually, non-respondents account for 

less than five percent of QCEW employment. However, BLS expects substantially higher than 

usual numbers of non-respondent employers in second quarter 2020 due to the coronavirus 

(COVID-19) pandemic and efforts to contain it.

Research is ongoing on the implementation of three potential improvements to imputation 

methodology. First, summary counts of claims for the regular state unemployment insurance 

benefits per employer may help identify employers who have ceased operations, rather than 

being identified as late respondents. Second, for employers that are expected to still be in 

operation, the imputation formula may be modified to use reported data for similar employers 

to create imputed levels of employment and wages. Third, state QCEW staff may use 

unemployment insurance claims information as a supplement to their review of imputed and 

reported QCEW data.

If implemented, these changes may result in larger than usual revisions to QCEW estimates 

for first quarter 2020. For more information on QCEW imputation methodology, see 

www.bls.gov/cew/additional-resources/imputation-methodology.htm.

QCEW Data and Response Impacted by the COVID-19 Pandemic

Beginning with this release of first quarter 2020 data, the Quarterly Census of Employment 

and Wages (QCEW) program will publish response rate tables for establishments, 

employment, and total quarterly wages. Tables for the first quarter of 2020 are available at 

www.bls.gov/covid19/county-employment-and-wages-covid-19-impact-first-quarter2020.htm. For more information about the effects of the COVID-19 pandemic on QCEW 

data, please visit www.bls.gov/covid19/effects-of-covid-19-pandemic-on-countyemployment-and-wages-data.htm.
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 2020 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 358 counties presented in this release were 

derived using 2019 preliminary annual averages of employment. For 

2020 data, three counties have been added to the publication tables: 

Baldwin, AL; Iredell, NC; and Gregg, TX. One county has been 

dropped from the publication tables: Bay, FL. These counties will be

included or excluded, respectively, in all 2020 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 10.4 million establishments in first quarter of 2020

Count of longitudinally-linked UI administrative records submitted by 8.2 

million private-sector employers

Sample survey: 697,000 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 non-UI-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 10.2 million employer 

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

2019. 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 2019, UI and 

UCFE programs covered workers in 148.1 million jobs. The estimated 

142.5 million workers in these jobs (after adjustment for multiple jobholders) represented 97.1 percent of civilian wage and salary employment. Covered workers received $8.769 trillion in pay, representing 

94.2 percent of the wage and salary component of personal income 

and 40.9 percent of the gross domestic product.

Major exclusions from UI coverage include self-employed workers, most agricultural workers on small farms, all members of the 

Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and 

employees of certain small nonprofit organizations.

State and federal UI laws change periodically. These changes may 

have an impact on the employment and wages reported by employers 

covered under the UI program. Coverage changes may affect the overthe-year comparisons presented in this news release.

Concepts and methodology

Monthly employment is based on the number of workers who 

worked during or received pay for the pay period including the 12th 

of the month. With few exceptions, all employees of covered firms are 

reported, including production and sales workers, corporation officials, executives, supervisory personnel, and clerical workers. Workers on paid vacations and part-time workers also are included.

Average weekly wage values are calculated by dividing quarterly 

total wages by the average of the three monthly employment levels 

(all employees, as described above) and dividing the result by 13, for 

the 13 weeks in the quarter. These calculations are made using unrounded employment and wage values. The average wage values that 

can be calculated using rounded data from the BLS database may differ from the averages reported. Included in the quarterly wage data are 

non-wage cash payments such as bonuses, the cash value of meals and 

lodging when supplied, tips and other gratuities, and, in some states, 

employer contributions to certain deferred compensation plans such 

as 401(k) plans and stock options. Over-the-year comparisons of average weekly wages may reflect fluctuations in average monthly employment and/or total quarterly wages between the current quarter and 

prior year levels.

Average weekly wages are affected by the ratio of full-time to parttime workers as well as the number of individuals in high-paying and 

low-paying occupations and the incidence of pay periods within a 

quarter. For instance, the average weekly wage of the workforce could 

increase significantly when there is a large decline in the number of 

employees that had been receiving below-average wages. Wages may 

include payments to workers not present in the employment counts 

because they did not work during the pay period including the 12th of 

the month. When comparing average weekly wage levels between industries, states, or quarters, these factors should be taken into consideration.

Wages measured by QCEW may be subject to periodic and sometimes large fluctuations. This variability may be due to calendar effects resulting from some quarters having more pay dates than others. 

The effect is most visible in counties with a dominant employer. In 

particular, this effect has been observed in counties where government 

employers represent a large fraction of overall employment. Similar 

calendar effects can result from private sector pay practices. However, 

these effects are typically less pronounced for two reasons: employment is less concentrated in a single private employer, and private employers use a variety of pay period types (weekly, biweekly, semimonthly, monthly).

For example, the effect on over-the-year pay comparisons can be 

pronounced in federal government due to the uniform nature of federal 

payroll processing. Most federal employees are paid on a biweekly 

pay schedule. As a result, in some quarters federal wages include six 

pay dates, while in other quarters there are seven pay dates. Over-theyear comparisons of average weekly wages may also reflect this calendar effect. Growth in average weekly wages may be attributed, in 

part, to a comparison of quarterly wages for the current year, which 

include seven pay dates, with year-ago wages that reflect only six pay 

dates. An opposite effect will occur when wages in the current quarter 

reflecting six pay dates are compared with year-ago wages for a quarter including seven pay dates.

In order to ensure the highest possible quality of data, states verify 

with employers and update, if necessary, the industry, location, and 

ownership classification of all establishments on a 3-year cycle. 

Changes in establishment classification codes resulting from this process are introduced with the data reported for the first quarter of the 

year. Changes resulting from improved employer reporting also are 

introduced in the first quarter.
QCEW data are not designed as a time series. QCEW data are 

simply the sums of individual establishment records and reflect the 

number of establishments that exist in a county or industry at a point 

in time. Establishments can move in or out of a county or industry for 

a number of reasons 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 2019 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 358 largest counties,

first quarter 2020

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

United States4.............................. 10,447.2 147,088.9 0.4 - $1,222 3.3 -

Baldwin, AL.................................. 6.7 76.1 0.0 203 737 2.9 187

Jefferson, AL................................ 19.6 351.3 -0.2 231 1,177 1.2 301

Madison, AL................................. 10.2 208.6 2.8 10 1,267 5.1 30

Mobile, AL.................................... 10.5 171.6 0.2 182 941 3.0 176

Montgomery, AL........................... 6.5 130.3 -0.3 240 917 4.3 72

Shelby, AL.................................... 6.0 84.0 -0.6 263 1,147 1.5 287

Tuscaloosa, AL............................. 4.7 97.4 0.9 101 922 2.7 201

Anchorage, AK............................. 8.3 144.2 -0.7 272 1,179 1.7 274

Maricopa, AZ................................ 109.4 2,094.8 2.5 15 1,158 3.9 109

Pima, AZ....................................... 19.4 380.1 -0.1 213 992 4.8 38

Benton, AR................................... 7.0 126.4 3.0 7 1,509 1.6 285

Pulaski, AR................................... 14.7 247.9 -1.3 317 1,030 3.6 128

Washington, AR........................... 6.5 111.4 1.4 60 898 3.3 158

Alameda, CA................................ 66.9 792.6 0.3 166 1,619 4.4 62

Butte, CA..................................... 8.6 81.2 0.6 133 868 2.4 230

Contra Costa, CA......................... 34.6 368.3 -0.6 263 1,462 3.6 128

Fresno, CA................................... 38.6 392.9 1.3 68 879 4.3 72

Kern, CA....................................... 21.9 314.8 0.3 166 968 3.5 142

Los Angeles, CA........................... 519.4 4,496.6 0.2 182 1,334 4.2 76

Marin, CA..................................... 12.8 114.2 0.6 133 1,566 1.4 291

Merced, CA................................. 7.0 78.7 0.9 101 861 4.7 42

Monterey, CA............................... 14.4 179.2 0.3 166 977 3.5 142

Napa, CA..................................... 6.0 77.3 -0.6 263 1,122 4.2 76

Orange, CA.................................. 129.7 1,633.7 -0.1 213 1,335 3.4 150

Placer, CA.................................... 14.1 174.8 1.9 35 1,157 5.4 26

Riverside, CA............................... 71.3 770.6 1.6 51 935 1.0 307

Sacramento, CA........................... 63.2 689.5 1.5 54 1,264 4.9 34

San Bernardino, CA..................... 64.9 785.5 2.5 15 965 3.7 121

San Diego, CA.............................. 118.4 1,486.2 0.7 122 1,315 5.6 21

San Francisco, CA....................... 62.1 759.1 1.0 91 2,772 0.8 312

San Joaquin, CA.......................... 19.0 258.7 2.3 20 942 3.2 165

San Luis Obispo, CA.................... 10.8 118.5 -0.7 272 974 -0.7 346

San Mateo, CA............................. 29.4 417.4 2.1 31 2,913 9.5 4

Santa Barbara, CA....................... 16.0 209.0 2.2 25 1,068 3.4 150

Santa Clara, CA........................... 76.2 1,121.3 0.9 101 2,896 5.1 30

Santa Cruz, CA............................ 9.8 101.3 -0.5 257 1,104 8.6 5

Solano, CA................................... 12.0 142.4 0.5 146 1,279 2.5 224

Sonoma, CA................................. 20.5 209.8 0.4 158 1,137 6.0 16

Stanislaus, CA.............................. 16.5 192.7 1.2 69 974 3.3 158

Tulare, CA.................................... 11.7 160.3 2.3 20 823 3.4 150

Ventura, CA.................................. 28.4 331.4 0.5 146 1,195 3.6 128

Yolo, CA....................................... 7.2 106.0 0.5 146 1,175 0.3 327

Adams, CO................................... 12.0 225.2 3.3 5 1,123 4.4 62

Arapahoe, CO.............................. 23.2 331.2 0.8 110 1,501 4.0 98

Boulder, CO.................................. 16.3 187.8 1.4 60 1,457 3.7 121

Denver, CO.................................. 35.7 527.6 1.2 69 1,619 5.5 23

Douglas, CO................................. 13.1 130.3 2.6 12 1,433 5.7 19

El Paso, CO.................................. 21.4 283.6 1.5 54 1,040 1.2 301

Jefferson, CO............................... 21.5 241.3 0.9 101 1,254 1.8 267

Larimer, CO.................................. 13.0 163.9 1.0 91 1,080 1.7 274

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Weld, CO...................................... 8.1 113.0 0.3 166 $1,166 8.1 6

Fairfield, CT................................. 37.0 405.9 -1.4 324 2,072 0.0 336

Hartford, CT.................................. 29.5 506.9 -0.2 231 1,521 2.5 224

New Haven, CT............................ 25.4 364.6 0.1 192 1,146 1.8 267

New London, CT.......................... 7.8 118.7 -2.0 345 1,226 3.0 176

New Castle, DE............................ 21.4 289.1 -0.3 240 1,431 1.1 306

Sussex, DE.................................. 7.6 80.0 0.6 133 839 4.9 34

Washington, DC........................... 42.3 778.0 0.6 133 1,994 3.8 114

Alachua, FL.................................. 7.6 134.1 0.0 203 986 4.4 62

Brevard, FL................................... 16.7 223.4 1.7 45 1,034 6.4 10

Broward, FL.................................. 73.4 822.4 0.3 166 1,117 2.7 201

Collier, FL..................................... 15.5 157.0 0.3 166 997 4.6 51

Duval, FL..................................... 31.4 525.4 0.7 122 1,153 2.3 241

Escambia, FL............................... 8.6 141.8 2.1 31 927 2.4 230

Hillsborough, FL........................... 46.8 722.8 2.4 19 1,170 3.1 174

Lake, FL....................................... 9.0 104.3 1.6 51 752 4.0 98

Lee, FL......................................... 24.0 275.7 0.7 122 912 4.1 87

Leon, FL....................................... 9.2 153.0 -0.1 213 896 2.3 241

Manatee, FL................................. 12.0 134.4 1.5 54 870 4.1 87

Marion, FL.................................... 8.9 107.7 1.0 91 754 2.7 201

Miami-Dade, FL............................ 104.9 1,167.5 0.0 203 1,158 2.8 195

Okaloosa, FL................................ 6.8 86.5 0.6 133 941 5.7 19

Orange, FL................................... 46.5 871.9 0.4 158 1,040 3.6 128

Osceola, FL.................................. 7.9 101.9 1.9 35 750 3.2 165

Palm Beach, FL............................ 60.3 621.0 0.1 192 1,172 4.6 51

Pasco, FL..................................... 11.9 124.1 1.1 79 793 4.1 87

Pinellas, FL................................... 35.3 441.9 0.0 203 997 3.5 142

Polk, FL........................................ 14.6 234.5 2.3 20 873 3.9 109

St. Johns, FL............................... 8.2 81.9 3.7 1 942 4.2 76

St. Lucie, FL............................... 7.2 81.8 1.8 41 823 6.1 15

Sarasota, FL................................ 17.0 173.7 -1.0 291 953 4.7 42

Seminole, FL................................ 16.0 200.8 -0.1 213 1,006 3.5 142

Volusia, FL................................... 15.4 176.6 -0.8 281 817 4.2 76

Bibb, GA....................................... 4.4 82.9 -0.1 213 892 2.2 250

Chatham, GA................................ 8.6 161.9 1.1 79 946 1.2 301

Clayton, GA.................................. 4.2 121.7 -0.8 281 1,365 2.9 187

Cobb, GA...................................... 23.0 373.1 1.1 79 1,266 1.4 291

DeKalb, GA................................. 18.7 302.6 0.2 182 1,233 3.6 128

Forsyth, GA.................................. 6.3 77.2 0.5 146 994 4.1 87

Fulton, GA.................................... 46.2 900.9 0.8 110 1,793 4.5 56

Gwinnett, GA................................ 26.6 362.2 1.2 69 1,096 1.4 291

Hall, GA....................................... 4.8 90.8 1.4 60 946 6.8 9

Muscogee, GA.............................. 4.6 94.8 -0.5 257 954 0.5 323

Richmond, GA.............................. 4.6 105.5 0.8 110 934 2.2 250

Honolulu, HI.................................. 27.5 467.1 -1.1 300 1,083 2.9 187

Maui + Kalawao, HI...................... 6.8 80.2 -1.2 308 927 3.2 165

Ada, ID......................................... 17.3 256.9 3.3 5 1,012 4.3 72

Champaign, IL.............................. 4.1 91.3 0.7 122 964 4.2 76

Cook, IL........................................ 139.6 2,560.7 -0.6 263 1,504 2.7 201

DuPage, IL................................. 34.8 604.1 -1.4 324 1,366 2.0 259

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Kane, IL........................................ 12.7 205.6 -1.9 340 $970 2.6 214

Lake, IL........................................ 20.3 329.5 -1.3 317 1,767 2.7 201

McHenry, IL.................................. 7.9 93.8 -1.7 335 867 2.7 201

McLean, IL.................................... 3.3 80.9 0.3 166 1,261 13.3 1

Madison, IL................................... 5.4 102.1 -0.4 251 863 0.3 327

Peoria, IL...................................... 4.2 102.3 -1.7 335 1,317 -12.8 357

St. Clair, IL.................................... 5.0 90.3 -1.3 317 866 3.0 176

Sangamon, IL............................... 4.8 127.0 -0.8 281 1,110 4.7 42

Will, IL.......................................... 15.2 245.0 1.1 79 936 -1.1 349

Winnebago, IL.............................. 5.9 122.2 -1.8 338 945 2.3 241

Allen, IN........................................ 9.2 188.2 -0.8 281 974 3.9 109

Elkhart, IN..................................... 4.8 130.1 -3.4 355 976 3.8 114

Hamilton, IN.................................. 10.0 143.2 0.6 133 1,167 3.8 114

Lake, IN........................................ 10.6 183.5 -1.9 340 952 0.7 319

Marion, IN..................................... 24.9 592.5 -1.1 300 1,278 3.9 109

St. Joseph, IN............................... 5.9 122.2 -1.5 329 896 3.6 128

Tippecanoe, IN............................. 3.8 85.2 -1.5 329 984 2.2 250

Vanderburgh, IN........................... 4.8 106.4 -2.2 350 916 -4.9 356

Johnson, IA.................................. 4.5 82.7 -0.2 231 1,030 3.3 158

Linn, IA......................................... 7.1 129.2 -0.6 263 1,128 4.3 72

Polk, IA........................................ 18.4 298.3 0.5 146 1,232 4.0 98

Scott, IA........................................ 5.8 88.5 -0.9 287 922 2.8 195

Johnson, KS................................. 24.3 349.8 1.2 69 1,204 3.0 176

Sedgwick, KS............................... 12.9 257.0 0.8 110 1,013 1.4 291

Shawnee, KS................................ 5.1 95.4 0.4 158 947 4.5 56

Wyandotte, KS............................. 3.5 90.3 0.4 158 1,078 3.8 114

Boone, KY................................... 4.5 96.5 2.3 20 949 3.4 150

Fayette, KY................................... 11.5 193.1 0.7 122 989 3.6 128

Jefferson, KY................................ 26.0 465.6 0.2 182 1,172 2.6 214

Caddo, LA.................................... 7.4 108.9 -1.9 340 879 2.3 241

Calcasieu, LA............................... 5.5 97.0 -5.4 356 1,007 -1.1 349

East Baton Rouge, LA.................. 16.6 261.6 -2.7 354 1,074 2.6 214

Jefferson, LA................................ 14.6 188.3 -0.6 263 987 3.1 174

Lafayette, LA................................ 10.3 130.7 -0.3 240 929 1.9 263

Orleans, LA.................................. 13.9 197.0 -0.9 287 1,078 1.4 291

St. Tammany, LA.......................... 9.0 89.7 0.7 122 935 2.4 230

Cumberland, ME.......................... 13.9 181.9 -0.3 240 1,133 4.4 62

Anne Arundel, MD........................ 15.5 272.1 -0.3 240 1,237 3.6 128

Baltimore, MD............................... 21.3 374.2 -1.4 324 1,165 4.0 98

Frederick, MD............................... 6.6 103.4 -1.2 308 1,071 4.7 42

Harford, MD.................................. 5.9 92.9 -1.3 317 1,089 4.8 38

Howard, MD................................. 10.2 173.1 -0.1 213 1,456 4.4 62

Montgomery, MD.......................... 33.0 466.7 -0.7 272 1,653 4.5 56

Prince George's, MD.................... 16.4 317.4 -1.3 317 1,156 4.2 76

Baltimore City, MD....................... 13.9 344.6 0.8 110 1,353 2.6 214

Barnstable, MA............................. 9.7 85.9 -1.0 291 993 2.9 187

Bristol, MA.................................... 17.9 225.3 -0.4 251 1,014 1.7 274

Essex, MA.................................... 27.6 319.5 -1.1 300 1,244 1.5 287

Hampden, MA.............................. 18.8 208.1 -1.2 308 1,027 1.6 285

Middlesex, MA.............................. 57.0 929.1 0.4 158 1,925 2.0 259

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Norfolk, MA................................... 25.7 344.0 -1.4 324 $1,360 2.6 214

Plymouth, MA............................... 16.5 189.9 -1.2 308 1,075 1.7 274

Suffolk, MA................................... 32.2 700.9 0.8 110 2,351 4.1 87

Worcester, MA.............................. 26.6 349.4 -0.1 213 1,157 3.4 150

Genesee, MI................................. 7.3 131.7 0.3 166 921 4.7 42

Ingham, MI................................... 6.6 152.4 -0.5 257 1,074 2.8 195

Kalamazoo, MI............................. 5.5 121.7 -0.2 231 1,085 0.3 327

Kent, MI....................................... 16.2 408.9 -0.5 257 999 2.3 241

Macomb, MI.................................. 19.1 325.5 -1.2 308 1,112 -0.4 341

Oakland, MI.................................. 43.0 733.3 -1.0 291 1,279 2.3 241

Ottawa, MI.................................... 6.3 127.2 0.8 110 955 3.2 165

Saginaw, MI.................................. 4.0 81.5 -2.0 345 915 1.8 267

Washtenaw, MI............................. 9.2 219.7 0.0 203 1,208 3.2 165

Wayne, MI.................................... 35.6 722.5 -0.7 272 1,281 1.8 267

Anoka, MN.................................... 7.9 125.7 -0.1 213 1,036 4.6 51

Dakota, MN.................................. 10.9 185.8 -0.8 281 1,193 2.5 224

Hennepin, MN.............................. 41.7 924.1 -0.1 213 1,583 2.7 201

Olmsted, MN................................ 3.8 100.5 1.6 51 1,243 2.6 214

Ramsey, MN................................. 14.4 328.5 -0.6 263 1,354 -0.5 343

St. Louis, MN................................ 5.5 95.6 -1.3 317 935 2.4 230

Stearns, MN................................. 4.4 85.2 -0.9 287 987 6.4 10

Washington, MN........................... 6.2 86.7 0.7 122 966 1.5 287

Harrison, MS................................ 4.6 86.6 1.2 69 761 1.3 298

Hinds, MS..................................... 5.6 118.1 -1.1 300 955 3.7 121

Boone, MO................................... 5.0 94.6 0.1 192 909 6.4 10

Clay, MO...................................... 6.0 105.0 1.4 60 1,000 4.1 87

Greene, MO.................................. 9.5 169.8 0.3 166 859 1.4 291

Jackson, MO................................ 23.1 372.1 0.2 182 1,155 4.0 98

St. Charles, MO............................ 10.1 153.8 2.2 25 993 -0.1 338

St. Louis, MO................................ 41.4 602.0 -0.3 240 1,263 1.7 274

St. Louis City, MO........................ 15.5 226.3 -0.7 272 1,315 2.3 241

Yellowstone, MT........................... 6.6 81.7 1.7 45 953 0.3 327

Douglas, NE................................. 19.1 338.7 0.9 101 1,101 4.1 87

Lancaster, NE............................... 10.1 171.2 0.5 146 919 3.0 176

Clark, NV..................................... 58.2 1,028.6 1.1 79 1,018 4.1 87

Washoe, NV................................. 15.3 224.4 1.0 91 1,027 4.2 76

Hillsborough, NH.......................... 12.4 204.0 -0.3 240 1,314 3.6 128

Merrimack, NH............................. 5.2 77.1 -0.4 251 1,061 2.4 230

Rockingham, NH.......................... 11.2 149.1 0.8 110 1,149 0.8 312

Atlantic, NJ................................... 6.8 126.2 -0.6 263 940 2.7 201

Bergen, NJ................................... 34.0 437.6 0.3 166 1,374 3.2 165

Burlington, NJ............................... 11.4 200.6 0.5 146 1,224 3.8 114

Camden, NJ................................. 12.6 204.8 0.1 192 1,111 3.3 158

Essex, NJ.................................... 21.4 344.6 0.2 182 1,578 2.7 201

Gloucester, NJ.............................. 6.6 114.9 1.9 35 928 2.5 224

Hudson, NJ................................... 16.2 272.0 -0.2 231 1,783 2.4 230

Mercer, NJ.................................... 11.5 259.0 0.6 133 1,681 2.4 230

Middlesex, NJ.............................. 23.0 423.3 -0.2 231 1,396 3.6 128

Monmouth, NJ.............................. 20.8 260.4 0.5 146 1,169 2.8 195

Morris, NJ..................................... 17.5 290.7 -0.1 213 2,091 9.6 3

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Ocean, NJ.................................... 14.0 167.0 0.7 122 $897 2.4 230

Passaic, NJ.................................. 13.1 165.8 0.9 101 1,070 2.6 214

Somerset, NJ............................... 10.5 186.3 -1.0 291 2,172 1.3 298

Union, NJ..................................... 15.1 228.5 -0.7 272 1,540 10.0 2

Bernalillo, NM............................... 20.6 332.7 0.8 110 974 3.7 121

Albany, NY................................... 10.5 229.9 -1.2 308 1,187 4.0 98

Bronx, NY..................................... 19.4 323.2 0.6 133 1,108 1.8 267

Broome, NY.................................. 4.4 83.6 -1.9 340 927 3.0 176

Dutchess, NY............................... 8.5 111.7 -2.1 349 1,086 1.8 267

Erie, NY........................................ 24.7 465.0 -1.0 291 1,048 3.0 176

Kings, NY..................................... 67.0 806.8 -0.3 240 975 3.2 165

Monroe, NY.................................. 19.1 384.7 -1.1 300 1,050 3.3 158

Nassau, NY.................................. 54.9 618.6 -1.1 300 1,259 3.7 121

New York, NY............................... 132.7 2,498.6 0.0 203 3,270 3.5 142

Oneida, NY................................... 5.3 104.2 -1.0 291 896 3.3 158

Onondaga, NY.............................. 12.8 244.1 -0.6 263 1,052 2.5 224

Orange, NY.................................. 10.8 147.4 -0.4 251 969 4.1 87

Queens, NY.................................. 54.7 708.5 0.1 192 1,110 0.6 321

Richmond, NY.............................. 10.2 130.8 1.8 41 1,024 2.3 241

Rockland, NY............................... 11.3 127.4 0.3 166 1,092 1.4 291

Saratoga, NY................................ 6.1 87.4 0.1 192 1,047 1.7 274

Suffolk, NY................................... 54.2 646.0 -1.7 335 1,196 2.1 256

Westchester, NY.......................... 36.6 421.8 -2.0 345 1,683 6.3 13

Buncombe, NC............................. 10.3 132.6 -1.2 308 870 2.4 230

Cabarrus, NC............................... 5.1 77.8 1.7 45 857 4.0 98

Catawba, NC................................ 4.6 87.9 -0.1 213 851 -0.8 347

Cumberland, NC........................... 6.5 120.2 -0.5 257 832 -0.6 345

Durham, NC................................. 9.1 219.6 2.2 25 1,564 2.7 201

Forsyth, NC.................................. 9.8 191.1 0.5 146 1,129 6.3 13

Guilford, NC.................................. 15.2 286.0 0.1 192 998 4.2 76

Iredell, NC.................................. 5.8 77.5 2.5 15 974 3.2 165

Mecklenburg, NC.......................... 41.6 723.4 2.2 25 1,601 5.1 30

New Hanover, NC........................ 9.0 118.0 1.0 91 927 2.2 250

Pitt, NC....................................... 3.9 76.9 -1.5 329 921 3.0 176

Wake, NC..................................... 38.6 570.8 1.5 54 1,254 4.7 42

Cass, ND...................................... 7.5 119.6 1.1 79 1,021 3.5 142

Butler, OH..................................... 8.1 156.6 0.0 203 1,054 3.5 142

Cuyahoga, OH.............................. 36.5 717.7 -0.7 272 1,219 4.1 87

Delaware, OH............................... 5.8 87.5 -0.1 213 1,289 4.0 98

Franklin, OH................................. 34.3 757.0 0.5 146 1,223 3.3 158

Greene, OH.................................. 3.8 76.5 0.8 110 1,114 5.6 21

Hamilton, OH................................ 24.7 514.0 -0.1 213 1,307 1.7 274

Lake, OH...................................... 6.4 94.8 -0.4 251 940 1.7 274

Lorain, OH.................................... 6.3 95.6 -1.1 300 872 1.2 301

Lucas, OH.................................... 10.2 205.0 -0.9 287 1,035 2.8 195

Mahoning, OH.............................. 5.9 95.4 -1.3 317 783 1.7 274

Montgomery, OH.......................... 12.1 252.5 -0.3 240 992 4.0 98

Stark, OH..................................... 8.7 156.0 -1.2 308 846 0.8 312

Summit, OH................................. 14.6 263.8 0.0 203 1,022 2.0 259

Warren, OH................................. 5.3 96.0 1.9 35 1,102 0.2 333

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Cleveland, OK.............................. 6.1 85.6 3.4 4 $785 0.8 312

Oklahoma, OK.............................. 28.7 459.2 -0.4 251 1,079 -1.7 353

Tulsa, OK..................................... 23.0 359.4 -0.1 213 1,072 0.3 327

Clackamas, OR............................ 15.9 168.1 0.7 122 1,089 5.2 28

Deschutes, OR............................. 9.5 85.5 3.5 2 938 5.9 17

Jackson, OR................................ 8.0 90.3 1.4 60 861 5.5 23

Lane, OR...................................... 13.0 157.4 0.6 133 883 4.7 42

Marion, OR................................... 11.7 156.9 0.7 122 946 5.2 28

Multnomah, OR............................ 37.1 518.8 0.5 146 1,255 4.8 38

Washington, OR........................... 20.8 301.1 -0.1 213 1,524 2.1 256

Allegheny, PA............................... 35.7 686.3 -0.7 272 1,310 4.5 56

Berks, PA..................................... 8.9 174.7 0.6 133 1,026 3.8 114

Bucks, PA..................................... 20.5 262.2 0.1 192 1,046 1.9 263

Butler, PA..................................... 5.1 86.7 0.1 192 1,046 1.3 298

Chester, PA.................................. 15.9 249.8 0.4 158 1,536 1.9 263

Cumberland, PA........................... 6.6 135.0 0.7 122 1,053 2.7 201

Dauphin, PA................................ 7.5 183.7 0.2 182 1,144 3.4 150

Delaware, PA............................... 14.2 223.0 -0.5 257 1,252 -0.3 340

Erie, PA........................................ 6.9 120.2 -1.1 300 849 2.0 259

Lackawanna, PA.......................... 5.6 95.6 -1.2 308 849 3.5 142

Lancaster, PA............................... 13.9 244.2 1.0 91 940 3.2 165

Lehigh, PA.................................... 8.8 192.0 -0.2 231 1,130 0.9 309

Luzerne, PA.................................. 7.5 144.7 0.2 182 880 1.7 274

Montgomery, PA........................... 28.1 501.9 0.0 203 1,609 4.4 62

Northampton, PA.......................... 6.9 118.6 0.9 101 979 2.7 201

Philadelphia, PA........................... 35.3 702.0 0.8 110 1,393 0.9 309

Washington, PA............................ 5.6 85.5 -2.2 350 1,302 2.8 195

Westmoreland, PA....................... 9.3 130.7 -1.0 291 910 1.0 307

York, PA....................................... 9.3 178.1 -0.2 231 963 1.9 263

Kent, RI....................................... 5.7 74.0 -2.0 345 1,013 0.4 325

Providence, RI.............................. 19.2 285.9 -0.1 213 1,183 3.0 176

Charleston, SC............................. 17.4 256.4 -0.1 213 1,010 -0.2 339

Greenville, SC.............................. 15.8 276.1 0.2 182 973 3.0 176

Horry, SC..................................... 9.9 129.1 -0.8 281 674 3.7 121

Lexington, SC............................... 7.3 121.7 1.9 35 865 1.5 287

Richland, SC................................ 10.8 222.2 0.4 158 983 1.7 274

Spartanburg, SC........................... 6.8 149.1 0.3 166 928 0.8 312

York, SC....................................... 6.7 101.0 2.2 25 996 1.8 267

Minnehaha, SD............................. 7.8 127.7 1.1 79 1,014 4.9 34

Davidson, TN................................ 25.4 513.2 1.8 41 1,282 4.7 42

Hamilton, TN................................ 10.6 206.8 0.4 158 1,031 3.4 150

Knox, TN...................................... 13.4 241.4 1.0 91 989 3.8 114

Rutherford, TN.............................. 6.3 134.4 1.5 54 947 0.0 336

Shelby, TN.................................... 21.6 495.5 -0.3 240 1,117 0.8 312

Williamson, TN............................. 10.0 140.6 2.6 12 1,449 3.7 121

Bell, TX......................................... 5.8 121.6 1.4 60 924 0.4 325

Bexar, TX..................................... 43.9 874.5 0.5 146 1,063 3.6 128

Brazoria, TX................................. 6.2 117.2 1.0 91 1,187 -1.3 351

Brazos, TX.................................... 4.8 110.0 1.0 91 839 4.5 56

Cameron, TX................................ 6.7 142.9 1.2 69 666 3.6 128

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Collin, TX...................................... 28.6 441.7 2.2 25 $1,455 4.4 62

Dallas, TX..................................... 80.1 1,734.5 2.0 34 1,499 2.4 230

Denton, TX.................................. 16.8 265.2 1.8 41 1,026 4.2 76

Ector, TX..................................... 4.3 78.6 -5.5 357 1,249 -0.4 341

El Paso, TX.................................. 15.7 313.5 0.8 110 779 2.9 187

Fort Bend, TX............................... 14.9 198.7 2.3 20 1,051 1.2 301

Galveston, TX............................... 6.4 111.9 1.1 79 1,047 4.8 38

Gregg, TX..................................... 4.3 75.2 -1.4 324 930 2.2 250

Harris, TX..................................... 118.9 2,346.4 0.6 133 1,554 0.2 333

Hidalgo, TX................................... 12.8 270.9 2.5 15 682 2.6 214

Jefferson, TX................................ 5.9 121.9 -1.5 329 1,146 0.9 309

Lubbock, TX................................. 7.9 141.3 0.9 101 877 3.9 109

McLennan, TX.............................. 5.5 114.1 1.2 69 927 4.0 98

Midland, TX.................................. 6.2 107.2 -2.6 353 1,612 -1.5 352

Montgomery, TX........................... 12.7 196.1 1.2 69 1,204 0.8 312

Nueces, TX.................................. 8.4 161.3 -1.5 329 972 3.6 128

Potter, TX..................................... 4.0 76.8 0.3 166 900 2.2 250

Smith, TX..................................... 6.5 105.3 0.3 166 901 2.9 187

Tarrant, TX................................... 46.3 927.1 1.2 69 1,173 2.4 230

Travis, TX..................................... 44.7 788.0 2.6 12 1,451 5.5 23

Webb, TX..................................... 5.6 103.5 -0.1 213 723 2.7 201

Williamson, TX............................. 12.3 185.8 3.0 7 1,341 7.8 7

Davis, UT..................................... 9.1 133.2 3.0 7 926 4.6 51

Salt Lake, UT................................ 49.3 723.3 1.9 35 1,188 5.0 33

Utah, UT....................................... 18.3 251.2 1.5 54 993 -3.8 355

Weber, UT.................................... 6.4 109.4 1.0 91 859 4.1 87

Chittenden, VT............................. 7.2 99.4 -2.2 350 1,136 2.6 214

Arlington, VA................................ 9.2 185.0 1.1 79 2,018 2.5 224

Chesterfield, VA........................... 9.4 136.5 1.4 60 972 4.9 34

Fairfax, VA.................................... 36.9 619.0 1.1 79 1,914 4.4 62

Henrico, VA.................................. 11.9 192.0 0.2 182 1,184 4.4 62

Loudoun, VA................................ 12.9 174.3 1.4 60 1,361 2.3 241

Prince William, VA........................ 9.7 132.3 0.3 166 981 5.4 26

Alexandria City, VA...................... 6.2 88.1 -1.8 338 1,507 0.7 319

Chesapeake City, VA................... 6.3 104.0 1.7 45 895 4.4 62

Newport News City, VA................ 4.0 104.2 0.6 133 1,062 -0.8 347

Norfolk City, VA........................... 6.1 140.0 -1.5 329 1,117 3.4 150

Richmond City, VA....................... 8.0 157.5 -0.7 272 1,359 4.5 56

Virginia Beach City, VA................ 12.4 175.3 -0.3 240 869 4.2 76

Benton, WA.................................. 6.2 90.8 2.7 11 1,141 4.2 76

Clark, WA..................................... 15.8 164.1 1.1 79 1,108 5.9 17

King, WA...................................... 91.1 1,433.5 1.7 45 1,925 4.6 51

Kitsap, WA.................................... 7.1 91.8 0.9 101 1,057 6.9 8

Pierce, WA................................... 23.9 318.6 1.7 45 1,066 3.6 128

Snohomish, WA............................ 22.2 293.1 1.2 69 1,264 -3.4 354

Spokane, WA............................... 17.0 229.9 2.1 31 989 2.9 187

Thurston, WA............................... 8.9 118.3 0.6 133 1,070 4.0 98

Whatcom, WA.............................. 7.6 92.1 0.3 166 987 2.9 187

Yakima, WA................................. 8.2 111.3 3.5 2 810 4.7 42

Kanawha, WV............................... 5.6 94.9 -1.9 340 979 2.1 256

 See footnotes at end of table.
Table 1. Covered establishments, employment, and wages in the 358 largest counties,

first quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-203

Ranking by

percent

change

First

quarter

2020

Percent

change,

first quarter

2019-203

Ranking by

percent

change

Brown, WI..................................... 7.2 156.1 0.0 203 $1,029 0.6 321

Dane, WI...................................... 16.2 342.8 1.1 79 1,185 -0.5 343

Milwaukee, WI.............................. 27.2 480.6 -1.0 291 1,131 3.0 176

Outagamie, WI............................. 5.6 107.4 0.1 192 951 0.5 323

Racine, WI................................. 4.7 73.4 -1.0 291 971 2.6 214

Waukesha, WI.............................. 13.7 241.1 -0.2 231 1,169 0.1 335

Winnebago, WI............................. 3.9 92.1 0.1 192 1,057 0.3 327

San Juan, PR............................... 11.3 243.5 1.3 (5) 671 -0.3 (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 357 U.S. counties comprise 73.7 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

first quarter 2020

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-202

First

quarter

2020

Percent

change,

first quarter

2019-202

United States3................................................................. 10,447.2 147,088.9 0.4 $1,222 3.3

 Private industry............................................................. 10,145.2 124,839.4 0.3 1,237 3.3

 Natural resources and mining.................................... 140.4 1,766.7 -2.3 1,341 0.3

 Construction............................................................... 843.8 7,272.0 1.6 1,235 3.5

 Manufacturing............................................................ 358.7 12,653.3 -1.0 1,436 1.3

 Trade, transportation, and utilities.............................. 1,950.2 27,192.9 0.4 999 2.8

 Information................................................................. 193.0 2,883.2 0.8 2,655 5.8

 Financial activities...................................................... 933.2 8,328.5 1.3 2,539 4.6

 Professional and business services........................... 1,946.4 21,001.1 0.8 1,648 3.4

 Education and health services................................... 1,802.7 23,349.0 1.1 995 3.2

 Leisure and hospitality............................................... 894.7 15,714.1 -2.3 477 3.5

 Other services............................................................ 872.7 4,485.7 -0.2 786 3.6

 Government.................................................................. 302.0 22,249.6 0.8 1,136 2.7

Los Angeles, CA.............................................................. 519.4 4,496.6 0.2 1,334 4.2

 Private industry............................................................. 513.1 3,909.7 0.1 1,309 4.2

 Natural resources and mining.................................... 0.5 5.8 5.9 1,146 -3.1

 Construction............................................................... 17.3 148.6 1.1 1,350 4.0

 Manufacturing............................................................ 12.7 336.3 -1.3 1,508 3.5

 Trade, transportation, and utilities.............................. 59.6 825.9 -0.6 1,093 4.5

 Information................................................................. 13.6 218.4 2.7 2,738 1.1

 Financial activities...................................................... 30.9 221.1 0.8 2,546 5.1

 Professional and business services........................... 57.5 627.4 -1.3 1,649 5.6

 Education and health services................................... 249.1 843.2 2.6 947 4.0

 Leisure and hospitality............................................... 40.5 528.4 -2.2 707 4.1

 Other services............................................................ 29.7 152.6 0.7 796 3.5

 Government.................................................................. 6.3 586.9 0.4 1,506 4.5

Cook, IL........................................................................... 139.6 2,560.7 -0.6 1,504 2.7

 Private industry............................................................. 138.4 2,262.7 -0.9 1,532 2.7

 Natural resources and mining.................................... 0.1 1.5 18.0 1,210 6.9

 Construction............................................................... 11.2 68.5 -2.9 1,549 1.8

 Manufacturing............................................................ 5.7 183.4 -1.0 1,421 1.5

 Trade, transportation, and utilities.............................. 28.5 461.6 -0.8 1,150 0.3

 Information................................................................. 2.6 52.7 -0.8 2,601 5.1

 Financial activities...................................................... 14.1 206.1 1.6 4,178 2.9

 Professional and business services........................... 29.3 467.5 -1.1 1,826 2.4

 Education and health services................................... 15.6 454.9 0.5 1,043 3.3

 Leisure and hospitality............................................... 14.0 268.9 -4.3 551 2.2

 Other services............................................................ 16.4 97.1 -1.9 1,028 4.6

 Government.................................................................. 1.3 298.0 1.6 1,288 2.5

New York, NY.................................................................. 132.7 2,498.6 0.0 3,270 3.5

 Private industry............................................................. 131.2 2,263.3 0.0 3,445 3.6

 Natural resources and mining.................................... 0.0 0.2 25.0 2,757 2.9

 Construction............................................................... 2.4 42.3 -1.9 2,076 2.9

 Manufacturing............................................................ 1.8 20.6 -5.2 1,693 0.8

 Trade, transportation, and utilities.............................. 18.6 249.3 -1.3 1,668 4.2

 Information................................................................. 5.7 195.9 2.6 3,811 6.2

 Financial activities...................................................... 19.7 391.1 0.9 9,752 3.1

 Professional and business services........................... 29.1 588.9 1.0 2,993 2.9

 Education and health services................................... 10.4 374.1 1.3 1,412 4.1

 Leisure and hospitality............................................... 14.8 289.8 -5.3 964 -0.3

 Other services............................................................ 20.3 105.5 -1.2 1,400 4.6

 Government.................................................................. 1.5 235.3 0.0 1,574 1.1

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

first quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-202

First

quarter

2020

Percent

change,

first quarter

2019-202

Harris, TX........................................................................ 118.9 2,346.4 0.6 $1,554 0.2

 Private industry............................................................. 118.4 2,059.9 0.4 1,604 -0.1

 Natural resources and mining.................................... 1.6 65.0 -4.7 5,302 1.4

 Construction............................................................... 7.8 170.2 0.0 1,539 3.4

 Manufacturing............................................................ 5.0 176.4 -1.5 1,864 -3.1

 Trade, transportation, and utilities.............................. 25.2 465.9 -0.3 1,442 -0.1

 Information................................................................. 1.3 25.7 -1.1 1,780 2.1

 Financial activities...................................................... 12.8 130.6 2.2 2,462 -0.1

 Professional and business services........................... 24.0 413.1 2.1 1,989 -1.4

 Education and health services................................... 16.9 303.9 1.2 1,083 3.8

 Leisure and hospitality............................................... 10.7 236.3 -1.8 479 2.4

 Other services............................................................ 11.9 70.0 2.4 903 5.1

 Government.................................................................. 0.6 286.5 2.4 1,191 3.2

Maricopa, AZ.................................................................... 109.4 2,094.8 2.5 1,158 3.9

 Private industry............................................................. 108.6 1,875.9 2.6 1,164 3.9

 Natural resources and mining.................................... 0.5 8.1 3.5 1,376 0.8

 Construction............................................................... 8.7 132.8 4.6 1,233 5.2

 Manufacturing............................................................ 3.6 131.7 2.6 1,651 0.1

 Trade, transportation, and utilities.............................. 21.3 396.9 2.7 1,042 3.6

 Information................................................................. 2.4 38.6 -0.1 1,849 8.6

 Financial activities...................................................... 14.4 193.5 4.4 1,798 7.6

 Professional and business services........................... 27.3 353.0 2.5 1,232 1.7

 Education and health services................................... 13.8 337.5 4.0 1,055 2.8

 Leisure and hospitality............................................... 9.4 230.0 -1.2 543 5.6

 Other services............................................................ 7.1 53.5 1.0 796 2.6

 Government.................................................................. 0.7 218.9 1.4 1,112 4.9

Dallas, TX........................................................................ 80.1 1,734.5 2.0 1,499 2.4

 Private industry............................................................. 79.6 1,555.6 2.0 1,530 2.3

 Natural resources and mining.................................... 0.5 8.6 2.1 4,216 -0.8

 Construction............................................................... 4.9 92.7 2.2 1,425 3.0

 Manufacturing............................................................ 2.9 118.3 1.9 1,960 2.3

 Trade, transportation, and utilities.............................. 16.1 352.3 2.0 1,247 1.9

 Information................................................................. 1.5 46.5 0.0 2,832 2.4

 Financial activities...................................................... 10.0 161.7 2.6 2,543 2.5

 Professional and business services........................... 18.2 364.6 3.1 1,705 0.8

 Education and health services................................... 10.0 204.8 1.8 1,197 5.1

 Leisure and hospitality............................................... 7.3 161.9 -0.3 549 4.6

 Other services............................................................ 7.2 42.5 -1.5 978 2.7

 Government.................................................................. 0.5 178.9 2.3 1,235 4.2

Orange, CA...................................................................... 129.7 1,633.7 -0.1 1,335 3.4

 Private industry............................................................. 128.3 1,474.3 -0.3 1,319 3.5

 Natural resources and mining.................................... 0.2 2.3 -1.6 928 -0.9

 Construction............................................................... 7.9 103.1 -1.1 1,500 4.2

 Manufacturing............................................................ 5.3 157.0 -1.5 1,723 -3.7

 Trade, transportation, and utilities.............................. 18.6 252.2 -0.9 1,160 4.3

 Information................................................................. 1.6 25.6 -2.4 2,572 0.5

 Financial activities...................................................... 13.3 117.0 1.6 2,378 6.7

 Professional and business services........................... 24.0 314.2 -1.5 1,570 7.7

 Education and health services................................... 39.0 233.0 2.8 1,003 2.1

 Leisure and hospitality............................................... 10.0 220.2 -1.8 538 4.5

 Other services............................................................ 7.9 49.2 4.3 746 -1.6

 Government.................................................................. 1.4 159.4 1.3 1,484 2.8

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

first quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-202

First

quarter

2020

Percent

change,

first quarter

2019-202

San Diego, CA................................................................ 118.4 1,486.2 0.7 $1,315 5.6

 Private industry............................................................. 116.4 1,243.8 0.7 1,305 5.8

 Natural resources and mining.................................... 0.7 9.9 5.3 782 2.4

 Construction............................................................... 8.1 81.7 0.3 1,345 5.1

 Manufacturing............................................................ 3.6 118.0 1.2 2,029 2.3

 Trade, transportation, and utilities.............................. 15.5 218.1 -0.6 1,019 6.7

 Information................................................................. 1.4 23.3 -0.8 2,074 4.3

 Financial activities...................................................... 11.5 76.5 1.9 1,923 7.6

 Professional and business services........................... 21.5 254.5 1.9 1,930 8.4

 Education and health services................................... 36.0 216.2 2.8 1,016 3.4

 Leisure and hospitality............................................... 9.4 192.2 -2.6 536 2.5

 Other services............................................................ 8.3 52.2 -0.3 670 3.4

 Government.................................................................. 2.0 242.4 0.6 1,368 4.5

King, WA......................................................................... 91.1 1,433.5 1.7 1,925 4.6

 Private industry............................................................. 90.4 1,257.0 1.6 1,980 4.6

 Natural resources and mining.................................... 0.4 2.9 2.4 1,214 0.4

 Construction............................................................... 7.0 75.1 1.9 1,568 5.8

 Manufacturing............................................................ 2.5 101.8 -4.0 1,894 -13.5

 Trade, transportation, and utilities.............................. 13.7 279.1 3.3 1,864 4.1

 Information................................................................. 2.7 126.3 7.9 5,194 8.3

 Financial activities...................................................... 7.2 69.9 1.8 2,425 5.2

 Professional and business services........................... 19.0 238.2 3.0 2,113 4.0

 Education and health services................................... 21.1 180.4 0.7 1,116 2.5

 Leisure and hospitality............................................... 7.6 135.4 -4.0 617 4.6

 Other services............................................................ 9.3 47.9 1.0 1,000 7.1

 Government.................................................................. 0.6 176.5 2.6 1,534 4.1

Miami-Dade, FL............................................................... 104.9 1,167.5 0.0 1,158 2.8

 Private industry............................................................. 104.5 1,026.4 -0.1 1,137 2.9

 Natural resources and mining.................................... 0.5 10.2 -2.3 655 3.6

 Construction............................................................... 7.4 52.7 0.1 1,082 5.4

 Manufacturing............................................................ 2.8 41.3 0.4 998 -10.4

 Trade, transportation, and utilities.............................. 24.4 287.3 -0.7 1,065 4.2

 Information................................................................. 1.6 18.8 -1.4 2,051 3.2

 Financial activities...................................................... 11.2 76.7 0.0 2,285 5.9

 Professional and business services........................... 24.0 166.4 1.4 1,345 0.6

 Education and health services................................... 11.6 188.6 1.4 1,035 3.0

 Leisure and hospitality............................................... 7.7 142.4 -3.4 667 5.5

 Other services............................................................ 9.0 38.7 -1.6 699 -4.0

 Government.................................................................. 0.3 141.1 0.2 1,310 2.5

1 Average weekly wages were calculated using unrounded data.

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

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

Note: Data are preliminary. Counties selected are based on 2019 annual average employment. Includes workers covered by Unemployment Insurance

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

first quarter 2020

Employment Average weekly wage 1

State

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-20

First

quarter

2020

Percent

change,

first quarter

2019-20

United States2.......................................... 10,447.2 147,088.9 0.4 $1,222 3.3

Alabama.................................................... 132.6 1,983.8 0.3 974 3.2

Alaska........................................................ 22.6 312.8 -0.1 1,130 2.1

Arizona...................................................... 170.4 2,957.2 1.9 1,098 4.4

Arkansas................................................... 93.6 1,220.5 0.2 922 3.0

California................................................... 1,631.1 17,570.5 0.8 1,459 4.2

Colorado.................................................... 214.5 2,725.2 1.2 1,284 4.3

Connecticut............................................... 124.1 1,639.4 -0.7 1,510 1.5

Delaware................................................... 34.6 443.7 -0.3 1,251 1.7

District of Columbia................................... 42.3 778.1 0.6 1,994 3.8

Florida....................................................... 740.5 8,975.1 0.8 1,051 3.6

Georgia...................................................... 301.5 4,522.2 0.9 1,159 3.4

Hawaii........................................................ 45.4 655.5 -1.0 1,033 3.0

Idaho......................................................... 66.8 755.2 3.1 864 4.2

Illinois........................................................ 381.5 5,872.9 -0.7 1,302 2.3

Indiana....................................................... 171.1 3,028.5 -1.0 994 3.2

Iowa........................................................... 104.8 1,523.4 -0.2 978 3.7

Kansas...................................................... 89.8 1,383.3 0.2 969 3.2

Kentucky.................................................... 124.0 1,884.9 0.1 943 2.5

Louisiana................................................... 137.4 1,897.0 -1.3 969 1.7

Maine......................................................... 53.9 601.0 0.1 955 4.0

Maryland.................................................... 175.7 2,661.5 -0.4 1,277 4.1

Massachusetts.......................................... 263.3 3,565.1 -0.2 1,605 3.0

Michigan.................................................... 267.0 4,281.4 -0.6 1,103 2.3

Minnesota.................................................. 183.9 2,838.2 -0.1 1,235 2.7

Mississippi................................................. 73.9 1,128.1 -0.2 801 2.8

Missouri..................................................... 214.8 2,795.7 0.3 1,016 3.0

Montana.................................................... 50.6 465.2 1.5 869 3.1

Nebraska................................................... 72.3 972.4 0.8 956 4.1

Nevada...................................................... 86.1 1,410.8 1.3 1,033 4.2

New Hampshire......................................... 54.3 657.0 0.2 1,194 3.3

New Jersey............................................... 285.8 4,052.7 0.4 1,455 3.9

New Mexico............................................... 64.0 835.6 0.9 923 3.7

New York.................................................. 657.2 9,415.7 -0.3 1,693 3.3

North Carolina........................................... 296.0 4,501.1 0.9 1,094 4.1

North Dakota............................................. 32.2 414.3 0.0 1,046 2.4

Ohio........................................................... 304.4 5,349.6 -0.3 1,063 2.9

Oklahoma.................................................. 112.8 1,598.0 -1.3 949 -0.5

Oregon...................................................... 162.4 1,938.9 0.7 1,103 4.2

Pennsylvania............................................. 363.5 5,851.3 0.0 1,177 2.7

Rhode Island............................................. 39.5 473.9 -0.2 1,132 2.7

South Carolina.......................................... 142.7 2,112.8 0.1 922 2.2

South Dakota............................................ 34.7 420.6 0.4 901 4.2

Tennessee................................................. 171.2 3,033.5 1.0 1,027 3.1

Texas......................................................... 725.7 12,626.2 1.2 1,232 2.4

Utah........................................................... 109.8 1,526.8 1.8 1,026 3.2

Vermont..................................................... 26.1 303.9 -1.8 980 3.3

Virginia...................................................... 282.9 3,921.0 0.6 1,233 4.0

Washington............................................... 255.6 3,427.3 1.7 1,414 3.8

West Virginia............................................. 51.2 674.9 -1.8 904 0.9

Wisconsin.................................................. 178.2 2,836.5 -0.2 1,008 1.7

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

first quarter 2020 - Continued

Employment Average weekly wage 1

State

Establishments,

first quarter

2020

(thousands)

March

2020

(thousands)

Percent

change,

March

2019-20

First

quarter

2020

Percent

change,

first quarter

2019-20

Wyoming................................................... 27.2 268.5 -0.5 $955 0.6

Puerto Rico............................................... 47.5 886.4 1.0 551 0.0

Virgin Islands............................................ 3.3 40.1 5.7 1,046 6.3

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.