For release 10:00 a.m. (ET), Wednesday, February 24, 2021 USDL-21-0317

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

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

COUNTY EMPLOYMENT AND WAGES – THIRD QUARTER 2020

From September 2019 to September 2020, employment decreased in 355 of the 357 largest U.S.

counties, the U.S. Bureau of Labor Statistics reported today. In September 2020, national employment 

(as measured by the QCEW program) decreased to 138.5 million, a 6.8-percent decrease over the year. 

Maui + Kalawao, HI, had the largest over-the-year decrease in employment with a loss of 35.4 percent. 

Employment data in this release are presented for September 2020, and average weekly wage data are 

presented for third quarter 2020. Employment was impacted by the COVID-19 pandemic and efforts to 

contain it.

Among the 357 largest counties, 350 had over-the-year increases in average weekly wages. In the third

quarter of 2020, average weekly wages for the nation increased to $1,173, a 7.4-percent increase over 

the year. San Mateo, CA, had the largest third quarter over-the-year wage gain at 23.2 percent. (See 

table 1.) Nationally, the increases in average weekly wages largely reflect substantial employment loss 

among lower-paid industries, as was the case in the second quarter. In the third quarter, employment 

declines occurring in some higher-paid industries also feature significant wage increases.

Chart 1. Percent change in employment, September 2019 to September 2020, by largest and smallest losses

-36% -34% -32% -30% -28% -26% -24% -22% -20% -18% -16% -14% -12% -10% -8% -6% -4% -2% 0% 2%

Utah, UT

Davis, UT

Polk, FL

Benton, AR

St. Johns, FL

San Francisco, CA

Napa, CA

Clark, NV

Orange, FL

New York, NY

Orleans, LA

Midland, TX

Honolulu, HI

Ector, TX

Calcasieu, LA

Maui + Kalawao, HI
- 2 -

Large County Employment in September 2020

Maui + Kalawao, HI, had the largest over-the-year percentage decrease in employment (-35.4 percent). 

Within Maui + Kalawao, the largest employment decrease occurred in leisure and hospitality, which lost 

16,951 jobs over the year (-66.8 percent).

Utah, UT, experienced the largest over-the-year percentage increase in employment with a gain of 1.9

percent. Within Utah, professional and business services had the largest employment increase with a 

gain of 3,334 jobs (+8.6 percent).

Large County Average Weekly Wage in Third Quarter 2020

San Mateo, CA, had the largest over-the-year percentage increase in average weekly wages (+23.2

percent). Within San Mateo, an average weekly wage gain of $1,096 (+17.6 percent) in information 

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

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

11.0 percent. Within Ector, natural resources and mining had the largest impact, with an average weekly 

wage decrease of $209 (-11.4 percent) over the year.

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

and losses

-12% -10% -8% -6% -4% -2% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24%

Ector, TX

Midland, TX

Boulder, CO

Olmsted, MN

Sangamon, IL

Howard, MD

Alameda, CA

Santa Cruz, CA

Suffolk, NY

Marin, CA

Orleans, LA

Santa Clara, CA

Iredell, NC

San Francisco, CA

San Mateo, CA
- 3 -

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage decreases in employment. In September

2020, New York, NY, had the largest over-the-year employment percentage loss (-15.9 percent). Within 

New York, leisure and hospitality had the largest employment decrease with a loss of 182,490 jobs 

(-58.8 percent). (See table 2.)

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

quarter 2020, King, WA, experienced the largest over-the-year percentage gain in average weekly wages 

(+14.3 percent). Within King, information had the largest impact, with an average weekly wage increase 

of $895 (+16.6 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. September 2020 employment and 

third quarter 2020 average weekly wages for all states are provided in table 3 of this release.

QCEW response rate tables are available at www.bls.gov/cew/response-rates/.

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 third quarter 2020 is scheduled to be 

released on Tuesday, March 9, 2021, at 10:00 a.m. (ET). 

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

released on Wednesday, May 19, 2021, at 10:00 a.m. (ET). 
Technical Note

These data are the product of a federal-state cooperative program, 

the Quarterly Census of Employment and Wages 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 8.3

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 Detailed locality data

Periodic universe counts for benchmarking sample survey estimates

Sample frame for BLS establishment surveys

Business cycle analysis

Analysis of employer dynamics underlying economic expansions and 

contractions

Analysis of employment expansion 

and contraction by size of firm

Principal federal economic indicator

(PFEI)

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.

QCEW imputes employment and wages for nonrespondents. Records are imputed for two quarters of nonresponse. After two quarters 

of nonresponse, BLS drops the establishment from the universe. 

QCEW state staff attempt to contact large missing employers in the

first quarter of nonresponse. Effective with the release of totals for the 

second quarter of 2020, imputation is based on the current trend of 

reported employment and wages. Nonrespondents are not included in 

totals if unemployment claims indicate that the worksite is not in operation. Imputation methodology is described in more detail at 

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

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 2019 edition of this 

publication, which was published in September 2020, contains selected data produced by Business Employment Dynamics (BED) on 

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

2020 version of this news release. Tables and additional content from

the 2019 edition of Employment and Wages Annual Averages Online 

are now available at www.bls.gov/cew/publications/employmentand-wages-annual-averages/2019/home.htm. The 2020 edition of 

Employment and Wages Annual Averages Online will be available in 

September 2021.

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,

third quarter 2020

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

United States4.............................. 10,561.3 138,549.5 -6.8 - $1,173 7.4 -

Baldwin, AL.................................. 6.7 72.8 -4.1 58 786 7.8 140

Jefferson, AL................................ 19.5 334.7 -5.5 125 1,112 5.3 282

Madison, AL................................. 10.3 201.9 -2.1 14 1,291 7.9 131

Mobile, AL.................................... 10.4 162.4 -5.6 127 968 5.3 282

Montgomery, AL........................... 6.5 123.2 -5.7 136 967 6.6 215

Shelby, AL.................................... 6.0 80.1 -5.2 105 1,082 7.2 175

Tuscaloosa, AL............................. 4.7 90.0 -9.3 304 959 8.5 95

Anchorage, AK............................. 8.4 136.5 -9.1 292 1,227 6.8 202

Maricopa, AZ................................ 113.2 1,987.7 -4.1 58 1,139 7.4 162

Pima, AZ....................................... 19.8 357.2 -5.7 136 1,006 7.6 152

Benton, AR................................... 7.1 123.5 -0.7 4 1,078 6.1 248

Pulaski, AR................................... 14.5 236.9 -5.0 94 1,031 7.2 175

Washington, AR........................... 6.4 108.9 -2.2 18 918 3.3 332

Alameda, CA................................ 66.9 715.9 -9.7 313 1,704 14.7 9

Butte, CA..................................... 8.4 74.4 -10.5 332 946 9.2 67

Contra Costa, CA......................... 35.0 332.9 -10.4 329 1,465 11.8 18

Fresno, CA................................... 38.7 383.1 -6.5 184 932 8.9 80

Kern, CA....................................... 22.2 322.9 -7.6 220 971 7.5 156

Los Angeles, CA........................... 521.9 3,973.9 -11.8 344 1,334 9.1 71

Marin, CA..................................... 12.8 101.9 -11.6 343 1,564 16.9 6

Merced, CA................................. 7.1 80.9 -6.0 156 913 7.9 131

Monterey, CA............................... 14.5 195.9 -8.6 276 1,006 7.6 152

Napa, CA..................................... 6.0 70.9 -13.8 347 1,166 8.1 125

Orange, CA.................................. 131.0 1,461.5 -11.1 340 1,330 10.2 38

Placer, CA.................................... 14.3 160.1 -7.8 236 1,223 11.3 20

Riverside, CA............................... 72.0 707.7 -6.6 188 981 9.9 46

Sacramento, CA........................... 63.7 640.2 -6.4 178 1,274 6.5 221

San Bernardino, CA..................... 65.9 749.3 -3.8 49 1,004 8.2 119

San Diego, CA.............................. 119.0 1,350.0 -9.4 305 1,332 11.1 22

San Francisco, CA....................... 62.0 658.6 -13.8 347 2,750 20.7 2

San Joaquin, CA.......................... 19.2 254.2 -2.8 31 1,017 8.2 119

San Luis Obispo, CA.................... 10.8 108.4 -9.1 292 1,045 10.1 42

San Mateo, CA............................. 29.4 376.9 -9.9 320 2,922 23.2 1

Santa Barbara, CA....................... 16.1 205.6 -7.0 202 1,104 8.2 119

Santa Clara, CA........................... 76.3 1,031.0 -8.3 258 2,883 18.0 4

Santa Cruz, CA............................ 9.9 99.3 -9.7 313 1,140 15.5 8

Solano, CA................................... 12.0 130.3 -9.9 320 1,247 9.3 64

Sonoma, CA................................. 20.4 191.3 -11.0 337 1,208 10.8 25

Stanislaus, CA.............................. 16.6 186.4 -6.0 156 1,035 9.4 61

Tulare, CA.................................... 12.0 156.0 -6.2 169 867 9.5 58

Ventura, CA.................................. 28.4 303.5 -7.9 240 1,161 9.2 67

Yolo, CA....................................... 7.3 103.9 -5.9 151 1,256 7.0 190

Adams, CO................................... 12.2 220.4 -3.3 39 1,134 4.2 316

Arapahoe, CO.............................. 23.6 319.5 -4.5 76 1,363 6.2 240

Boulder, CO.................................. 16.7 177.9 -5.8 145 1,466 -5.5 355

Denver, CO.................................. 36.6 483.4 -9.7 313 1,503 9.4 61

Douglas, CO................................. 13.4 128.9 -1.3 6 1,281 4.5 309

El Paso, CO.................................. 21.8 277.3 -3.2 37 1,065 6.2 240

Jefferson, CO............................... 21.9 231.9 -5.3 115 1,260 9.8 49

Larimer, CO.................................. 13.4 158.8 -5.0 94 1,090 7.5 156

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Weld, CO...................................... 8.3 105.3 -9.6 311 $1,022 -2.7 351

Fairfield, CT................................. 37.4 382.6 -8.4 268 1,605 8.7 91

Hartford, CT.................................. 29.8 477.4 -7.1 208 1,319 5.3 282

New Haven, CT............................ 25.6 351.3 -5.7 136 1,178 7.9 131

New London, CT.......................... 7.9 108.7 -11.5 342 1,160 10.7 27

New Castle, DE............................ 21.5 274.5 -6.0 156 1,281 6.8 202

Sussex, DE.................................. 7.8 82.0 -4.9 90 841 7.4 162

Washington, DC........................... 43.3 713.7 -8.1 248 1,962 6.1 248

Alachua, FL.................................. 7.5 128.2 -4.8 84 1,014 7.8 140

Brevard, FL................................... 16.9 214.7 -2.6 24 1,017 5.9 254

Broward, FL.................................. 74.9 753.6 -7.9 240 1,089 9.1 71

Collier, FL..................................... 15.7 139.4 -4.4 71 984 7.0 190

Duval, FL..................................... 31.4 509.0 -3.0 35 1,073 6.7 209

Escambia, FL............................... 8.7 134.6 -2.8 31 911 6.4 227

Hillsborough, FL........................... 47.6 675.9 -4.8 84 1,133 8.9 80

Lake, FL....................................... 9.2 99.6 -2.5 23 796 7.3 168

Lee, FL......................................... 24.4 253.3 -4.7 82 935 9.6 56

Leon, FL....................................... 9.2 145.2 -4.6 78 945 4.7 302

Manatee, FL................................. 12.1 121.5 -5.2 105 913 9.1 71

Marion, FL.................................... 9.0 104.3 -1.7 9 787 7.4 162

Miami-Dade, FL............................ 108.1 1,048.5 -9.5 308 1,116 7.8 140

Okaloosa, FL................................ 6.9 84.0 -2.1 14 983 9.5 58

Orange, FL................................... 47.4 733.3 -15.7 350 1,056 10.6 31

Osceola, FL.................................. 8.1 89.5 -10.3 328 759 4.8 299

Palm Beach, FL............................ 61.2 568.7 -6.3 175 1,115 10.2 38

Pasco, FL..................................... 12.1 120.6 -2.1 14 835 7.3 168

Pinellas, FL................................... 35.7 417.2 -5.2 105 1,011 8.2 119

Polk, FL........................................ 14.9 230.1 -0.6 3 871 5.6 266

St. Johns, FL............................... 8.4 78.2 -1.2 5 903 6.6 215

St. Lucie, FL............................... 7.3 77.8 -2.3 20 835 6.0 253

Sarasota, FL................................ 17.2 162.1 -4.6 78 956 6.6 215

Seminole, FL................................ 16.2 191.6 -4.4 71 990 7.1 181

Volusia, FL................................... 15.4 166.4 -5.1 102 824 8.9 80

Bibb, GA....................................... 4.5 78.3 -5.7 136 887 5.0 294

Chatham, GA................................ 8.8 150.6 -5.8 145 937 3.8 326

Clayton, GA.................................. 4.4 110.2 -11.1 340 1,225 11.2 21

Cobb, GA...................................... 24.0 351.0 -6.6 188 1,221 6.3 233

DeKalb, GA................................. 19.4 282.6 -6.4 178 1,172 7.1 181

Forsyth, GA.................................. 6.5 74.5 -3.3 39 994 3.1 337

Fulton, GA.................................... 48.2 824.3 -8.3 258 1,521 7.4 162

Gwinnett, GA................................ 27.7 342.8 -5.6 127 1,073 6.3 233

Hall, GA....................................... 4.9 87.7 -2.8 31 952 4.7 302

Muscogee, GA.............................. 4.7 89.4 -5.4 120 870 2.8 340

Richmond, GA.............................. 4.7 99.5 -4.3 68 973 5.4 276

Honolulu, HI.................................. 27.7 370.5 -20.7 354 1,167 10.2 38

Maui + Kalawao, HI...................... 6.9 52.2 -35.4 357 971 7.1 181

Ada, ID......................................... 18.2 251.6 -1.5 7 1,022 5.4 276

Champaign, IL.............................. 4.1 89.8 -2.7 29 1,033 9.1 71

Cook, IL........................................ 140.2 2,367.3 -9.8 319 1,332 7.0 190

DuPage, IL................................. 34.8 567.2 -8.3 258 1,305 7.1 181

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Kane, IL........................................ 12.8 194.5 -9.4 305 $1,025 8.5 95

Lake, IL........................................ 20.3 319.2 -7.0 202 1,382 6.3 233

McHenry, IL.................................. 7.9 91.5 -7.3 215 926 10.1 42

McLean, IL.................................... 3.3 76.9 -6.5 184 1,116 13.1 14

Madison, IL................................... 5.4 100.1 -5.2 105 876 5.8 259

Peoria, IL...................................... 4.2 97.3 -7.0 202 1,192 11.0 23

St. Clair, IL.................................... 5.0 85.7 -7.7 226 926 8.8 84

Sangamon, IL............................... 4.8 122.9 -5.0 94 1,126 -3.8 353

Will, IL.......................................... 15.3 240.6 -5.1 102 979 6.2 240

Winnebago, IL.............................. 5.9 115.4 -8.1 248 964 5.0 294

Allen, IN........................................ 9.2 183.6 -4.2 64 930 5.9 254

Elkhart, IN..................................... 4.8 129.1 -2.6 24 996 11.9 17

Hamilton, IN.................................. 10.2 140.8 -2.6 24 1,082 6.3 233

Lake, IN........................................ 10.6 177.2 -6.7 194 945 2.4 343

Marion, IN..................................... 25.1 567.1 -6.4 178 1,153 5.0 294

St. Joseph, IN............................... 5.9 114.5 -7.2 212 933 3.3 332

Tippecanoe, IN............................. 3.6 82.6 -5.7 136 973 5.5 271

Vanderburgh, IN........................... 4.9 102.2 -6.1 165 940 6.5 221

Johnson, IA.................................. 4.5 78.2 -6.2 169 1,099 8.3 111

Linn, IA......................................... 7.1 121.6 -8.1 248 1,067 5.6 266

Polk, IA........................................ 18.4 287.0 -5.4 120 1,157 6.9 196

Scott, IA........................................ 5.8 84.3 -7.6 220 948 6.3 233

Johnson, KS................................. 24.2 335.7 -4.8 84 1,183 10.3 35

Sedgwick, KS............................... 12.8 239.6 -7.0 202 919 2.7 341

Shawnee, KS................................ 5.1 92.2 -3.5 44 919 5.9 254

Wyandotte, KS............................. 3.5 88.3 -3.8 49 1,054 1.9 344

Boone, KY................................... 4.8 93.2 -2.2 18 962 5.4 276

Fayette, KY................................... 11.8 182.7 -7.2 212 1,001 6.7 209

Jefferson, KY................................ 27.0 443.5 -6.1 165 1,099 6.1 248

Caddo, LA.................................... 7.5 101.7 -7.9 240 923 8.1 125

Calcasieu, LA............................... 5.6 75.8 -24.1 356 1,029 5.3 282

East Baton Rouge, LA.................. 17.1 243.7 -8.2 254 1,071 6.1 248

Jefferson, LA................................ 14.7 172.2 -8.5 271 999 5.7 263

Lafayette, LA................................ 10.5 121.3 -7.9 240 928 0.5 349

Orleans, LA.................................. 14.3 159.5 -20.0 352 1,165 17.3 5

St. Tammany, LA.......................... 9.1 84.8 -5.9 151 938 4.6 307

Cumberland, ME.......................... 14.1 175.2 -7.6 220 1,105 9.7 52

Anne Arundel, MD........................ 15.4 255.3 -8.6 276 1,269 10.7 27

Baltimore, MD............................... 20.9 345.7 -8.7 282 1,163 9.7 52

Frederick, MD............................... 6.5 97.2 -8.3 258 1,093 8.4 103

Harford, MD.................................. 5.9 89.3 -6.6 188 1,141 7.8 140

Howard, MD................................. 10.0 159.9 -9.6 311 1,518 14.7 9

Montgomery, MD.......................... 32.6 436.7 -7.8 236 1,540 9.8 49

Prince George's, MD.................... 16.2 290.6 -9.4 305 1,230 6.8 202

Baltimore City, MD....................... 13.6 324.7 -6.0 156 1,340 8.3 111

Barnstable, MA............................. 9.6 92.3 -10.1 324 1,012 10.7 27

Bristol, MA.................................... 18.0 211.2 -8.4 268 1,052 8.3 111

Essex, MA.................................... 27.8 298.9 -9.2 297 1,250 8.4 103

Hampden, MA.............................. 18.9 192.1 -10.6 334 1,037 9.6 56

Middlesex, MA.............................. 57.5 859.9 -8.6 276 1,788 10.0 45

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Norfolk, MA................................... 25.8 315.0 -10.7 335 $1,326 9.0 75

Plymouth, MA............................... 16.6 179.9 -9.5 308 1,115 7.7 149

Suffolk, MA................................... 32.4 634.1 -10.4 329 1,942 9.3 64

Worcester, MA.............................. 26.7 324.4 -8.5 271 1,167 10.1 42

Genesee, MI................................. 7.2 124.3 -8.4 268 934 8.0 130

Ingham, MI................................... 6.5 140.8 -9.2 297 1,086 8.8 84

Kalamazoo, MI............................. 5.8 113.5 -7.3 215 1,052 6.5 221

Kent, MI....................................... 16.3 370.0 -9.0 287 1,036 7.8 140

Macomb, MI.................................. 19.1 305.3 -9.0 287 1,107 5.7 263

Oakland, MI.................................. 42.8 679.6 -9.1 292 1,256 8.3 111

Ottawa, MI.................................... 6.3 123.4 -5.4 120 952 3.3 332

Saginaw, MI.................................. 4.0 77.2 -9.0 287 936 8.6 92

Washtenaw, MI............................. 9.3 202.7 -8.5 271 1,277 8.5 95

Wayne, MI.................................... 35.3 674.5 -8.3 258 1,240 7.4 162

Anoka, MN.................................... 7.9 121.5 -6.8 199 1,126 3.6 328

Dakota, MN.................................. 10.8 177.0 -7.7 226 1,139 8.1 125

Hennepin, MN.............................. 41.7 849.9 -9.7 313 1,447 9.0 75

Olmsted, MN................................ 3.8 96.7 -3.6 47 1,224 -4.4 354

Ramsey, MN................................. 14.3 305.6 -9.2 297 1,263 5.5 271

St. Louis, MN................................ 5.4 90.1 -8.1 248 947 3.5 329

Stearns, MN................................. 4.4 81.6 -6.1 165 1,010 6.9 196

Washington, MN........................... 6.2 84.5 -5.0 94 944 4.2 316

Harrison, MS................................ 4.6 81.5 -6.3 175 787 9.5 58

Hinds, MS..................................... 5.6 113.4 -5.2 105 945 4.7 302

Boone, MO................................... 5.0 91.2 -4.4 71 1,006 12.3 16

Clay, MO...................................... 6.1 102.3 -3.9 51 998 8.4 103

Greene, MO.................................. 9.7 164.6 -3.5 44 896 6.8 202

Jackson, MO................................ 23.4 351.8 -6.3 175 1,132 5.7 263

St. Charles, MO............................ 10.2 150.7 -2.1 14 920 6.7 209

St. Louis, MO................................ 42.5 566.0 -7.1 208 1,194 5.5 271

St. Louis City, MO........................ 15.8 209.6 -9.2 297 1,211 3.2 336

Yellowstone, MT........................... 6.8 81.3 -1.8 12 963 4.8 299

Douglas, NE................................. 19.5 324.5 -5.0 94 1,098 7.0 190

Lancaster, NE............................... 10.2 165.4 -5.9 151 942 7.4 162

Clark, NV..................................... 56.5 875.9 -14.9 349 1,021 7.5 156

Washoe, NV................................. 15.1 213.1 -6.5 184 1,091 8.3 111

Hillsborough, NH.......................... 12.5 194.2 -5.8 145 1,244 8.6 92

Merrimack, NH............................. 5.3 73.9 -5.2 105 1,096 7.7 149

Rockingham, NH.......................... 11.4 145.3 -5.2 105 1,118 7.3 168

Atlantic, NJ................................... 6.8 113.7 -13.7 346 955 8.4 103

Bergen, NJ................................... 34.2 395.4 -11.0 337 1,371 10.7 27

Burlington, NJ............................... 11.5 190.2 -6.0 156 1,218 10.4 33

Camden, NJ................................. 12.6 187.6 -8.3 258 1,127 8.2 119

Essex, NJ.................................... 21.7 306.1 -11.0 337 1,420 6.9 196

Gloucester, NJ.............................. 6.6 109.0 -5.0 94 951 6.9 196

Hudson, NJ................................... 16.4 245.6 -9.9 320 1,513 8.8 84

Mercer, NJ.................................... 11.6 246.5 -5.6 127 1,393 6.8 202

Middlesex, NJ.............................. 23.2 400.0 -6.4 178 1,321 8.5 95

Monmouth, NJ.............................. 20.8 245.3 -7.8 236 1,173 13.7 12

Morris, NJ..................................... 17.5 270.6 -8.3 258 1,651 7.9 131

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Ocean, NJ.................................... 14.2 163.8 -6.0 156 $938 10.9 24

Passaic, NJ.................................. 13.1 150.2 -10.4 329 1,107 10.6 31

Somerset, NJ............................... 10.6 175.1 -7.9 240 1,672 10.2 38

Union, NJ..................................... 15.2 210.4 -9.1 292 1,403 11.4 19

Bernalillo, NM............................... 20.4 311.0 -7.2 212 1,011 7.9 131

Albany, NY................................... 10.4 218.8 -6.7 194 1,266 12.8 15

Bronx, NY..................................... 19.3 299.1 -7.7 226 1,194 5.6 266

Broome, NY.................................. 4.3 78.1 -8.6 276 976 10.3 35

Dutchess, NY............................... 8.5 103.8 -9.5 308 1,129 8.3 111

Erie, NY........................................ 24.6 430.8 -9.1 292 1,051 9.7 52

Kings, NY..................................... 66.6 735.1 -9.2 297 1,028 7.3 168

Monroe, NY.................................. 18.9 355.8 -9.2 297 1,083 7.3 168

Nassau, NY.................................. 54.4 565.1 -10.1 324 1,275 9.9 46

New York, NY............................... 130.0 2,110.1 -15.9 351 2,342 13.7 12

Oneida, NY................................... 5.3 96.7 -8.2 254 906 7.9 131

Onondaga, NY.............................. 12.7 229.0 -8.5 271 1,081 8.8 84

Orange, NY.................................. 10.8 136.2 -8.8 284 1,002 9.2 67

Queens, NY.................................. 54.1 635.1 -12.1 345 1,154 7.1 181

Richmond, NY.............................. 10.1 119.7 -7.7 226 1,124 9.2 67

Rockland, NY............................... 11.3 119.3 -8.9 286 1,079 7.9 131

Saratoga, NY................................ 6.1 83.3 -8.2 254 1,065 8.5 95

Suffolk, NY................................... 53.8 618.8 -8.3 258 1,349 16.3 7

Westchester, NY.......................... 36.3 387.8 -10.5 332 1,438 10.4 33

Buncombe, NC............................. 10.4 122.4 -9.2 297 905 6.5 221

Cabarrus, NC............................... 5.3 73.1 -5.3 115 877 8.1 125

Catawba, NC................................ 4.6 84.0 -4.5 76 871 5.2 289

Cumberland, NC........................... 6.6 114.3 -5.2 105 892 5.4 276

Durham, NC................................. 9.3 210.5 -3.9 51 1,491 6.6 215

Forsyth, NC.................................. 9.8 180.8 -5.7 136 1,028 6.4 227

Guilford, NC.................................. 15.2 268.9 -5.9 151 989 6.6 215

Iredell, NC.................................. 5.9 74.7 -1.7 9 1,119 19.8 3

Mecklenburg, NC.......................... 42.2 681.3 -5.4 120 1,286 5.8 259

New Hanover, NC........................ 9.1 113.7 -4.2 64 967 10.8 25

Pitt, NC....................................... 3.9 74.7 -4.2 64 950 4.7 302

Wake, NC..................................... 39.3 550.2 -3.3 39 1,216 7.7 149

Cass, ND...................................... 7.7 116.7 -3.9 51 1,058 6.5 221

Butler, OH..................................... 8.1 149.5 -5.7 136 996 5.6 266

Cuyahoga, OH.............................. 36.7 675.1 -7.7 226 1,167 7.8 140

Delaware, OH............................... 5.9 85.5 -5.1 102 1,118 8.8 84

Franklin, OH................................. 34.8 724.4 -5.3 115 1,175 7.1 181

Greene, OH.................................. 3.8 74.3 -2.8 31 1,151 7.3 168

Hamilton, OH................................ 24.9 487.0 -6.9 200 1,300 9.3 64

Lake, OH...................................... 6.4 90.0 -7.7 226 912 0.2 350

Lorain, OH.................................... 6.3 92.6 -5.9 151 880 6.8 202

Lucas, OH.................................... 10.2 194.7 -7.0 202 974 4.2 316

Mahoning, OH.............................. 5.9 91.2 -7.4 217 819 6.9 196

Montgomery, OH.......................... 12.3 240.0 -6.2 169 986 6.7 209

Stark, OH..................................... 8.7 149.7 -6.0 156 851 5.3 282

Summit, OH................................. 14.7 251.8 -5.8 145 978 5.3 282

Warren, OH................................. 5.5 92.8 -4.8 84 1,219 6.6 215

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Cleveland, OK.............................. 6.1 82.9 -3.2 37 $817 4.7 302

Oklahoma, OK.............................. 28.7 441.0 -5.7 136 1,034 3.9 324

Tulsa, OK..................................... 22.8 339.3 -6.6 188 995 2.7 341

Clackamas, OR............................ 16.1 158.1 -7.7 226 1,112 6.7 209

Deschutes, OR............................. 9.8 83.2 -4.0 55 990 9.0 75

Jackson, OR................................ 8.1 87.8 -5.3 115 908 7.1 181

Lane, OR...................................... 13.1 145.5 -8.3 258 943 10.3 35

Marion, OR................................... 11.8 155.5 -4.1 58 983 8.3 111

Multnomah, OR............................ 37.5 468.4 -10.2 326 1,254 8.4 103

Washington, OR........................... 21.0 284.4 -6.5 184 1,470 7.2 175

Allegheny, PA............................... 36.6 643.1 -8.5 271 1,234 7.8 140

Berks, PA..................................... 8.9 160.8 -8.3 258 1,053 8.6 92

Bucks, PA..................................... 20.5 246.3 -8.0 245 1,071 9.0 75

Butler, PA..................................... 5.1 82.5 -6.6 188 1,045 4.8 299

Chester, PA.................................. 15.9 236.7 -6.7 194 1,365 7.3 168

Cumberland, PA........................... 6.7 129.2 -5.6 127 1,054 7.8 140

Dauphin, PA................................ 7.5 175.5 -6.1 165 1,118 5.2 289

Delaware, PA............................... 14.3 207.1 -8.8 284 1,188 8.4 103

Erie, PA........................................ 6.9 113.7 -8.1 248 874 7.6 152

Lackawanna, PA.......................... 5.6 89.7 -8.1 248 896 9.4 61

Lancaster, PA............................... 13.9 232.4 -5.8 145 965 6.2 240

Lehigh, PA.................................... 8.9 183.0 -6.6 188 1,130 8.5 95

Luzerne, PA.................................. 7.5 135.9 -7.6 220 906 7.1 181

Montgomery, PA........................... 28.3 472.4 -7.0 202 1,402 8.8 84

Northampton, PA.......................... 6.9 110.4 -8.0 245 985 8.8 84

Philadelphia, PA........................... 35.3 631.0 -10.9 336 1,392 7.2 175

Washington, PA............................ 5.6 79.9 -10.2 326 1,102 5.2 289

Westmoreland, PA....................... 9.2 124.3 -7.7 226 920 3.5 329

York, PA....................................... 9.2 168.9 -6.7 194 990 5.5 271

Kent, RI....................................... 5.6 69.8 -9.7 313 1,018 9.0 75

Providence, RI.............................. 19.2 266.8 -8.2 254 1,091 7.8 140

Charleston, SC............................. 17.9 239.2 -7.7 226 1,047 8.5 95

Greenville, SC.............................. 16.1 265.2 -4.2 64 969 6.4 227

Horry, SC..................................... 10.2 123.9 -9.0 287 721 8.9 80

Lexington, SC............................... 7.4 118.3 -2.7 29 887 5.3 282

Richland, SC................................ 11.1 210.9 -5.6 127 971 5.8 259

Spartanburg, SC........................... 7.0 144.6 -4.3 68 929 4.5 309

York, SC....................................... 6.9 97.2 -3.5 44 952 8.1 125

Minnehaha, SD............................. 8.0 125.3 -2.6 24 1,017 7.6 152

Davidson, TN................................ 25.9 472.1 -9.0 287 1,237 5.0 294

Hamilton, TN................................ 10.7 198.2 -4.9 90 1,037 7.2 175

Knox, TN...................................... 13.5 231.6 -4.1 58 1,001 6.9 196

Rutherford, TN.............................. 6.4 130.6 -1.7 9 995 6.1 248

Shelby, TN.................................... 21.8 470.4 -6.4 178 1,143 7.5 156

Williamson, TN............................. 10.2 135.4 -3.9 51 1,314 4.2 316

Bell, TX......................................... 5.9 117.5 -3.3 39 955 4.1 321

Bexar, TX..................................... 43.8 824.8 -6.2 169 1,036 7.5 156

Brazoria, TX................................. 6.3 108.8 -7.4 217 1,100 0.8 348

Brazos, TX.................................... 4.9 103.6 -4.8 84 864 5.9 254

Cameron, TX................................ 6.6 135.5 -4.3 68 697 5.4 276

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Collin, TX...................................... 29.0 423.0 -4.4 71 $1,358 6.4 227

Dallas, TX..................................... 80.6 1,653.8 -4.6 78 1,355 4.1 321

Denton, TX.................................. 17.0 257.3 -3.0 35 1,026 6.3 233

Ector, TX..................................... 4.2 65.2 -20.8 355 1,094 -11.0 357

El Paso, TX.................................. 15.7 299.5 -5.0 94 814 6.8 202

Fort Bend, TX............................... 15.4 187.8 -4.7 82 995 1.8 345

Galveston, TX............................... 6.5 104.7 -5.2 105 1,010 5.0 294

Gregg, TX..................................... 4.3 68.9 -9.9 320 882 -3.7 352

Harris, TX..................................... 119.8 2,171.8 -7.7 226 1,336 1.4 346

Hidalgo, TX................................... 12.9 253.4 -4.1 58 713 4.2 316

Jefferson, TX................................ 5.8 111.2 -9.7 313 1,096 3.4 331

Lubbock, TX................................. 8.0 136.6 -3.7 48 892 3.7 327

McLennan, TX.............................. 5.6 112.1 -1.6 8 947 6.2 240

Midland, TX.................................. 6.2 87.5 -20.1 353 1,358 -7.4 356

Montgomery, TX........................... 12.9 184.5 -5.5 125 1,113 3.3 332

Nueces, TX.................................. 8.4 149.4 -8.6 276 950 1.2 347

Potter, TX..................................... 4.0 74.4 -3.4 43 944 6.2 240

Smith, TX..................................... 6.5 101.0 -4.0 55 928 4.3 314

Tarrant, TX................................... 46.6 877.1 -5.6 127 1,116 4.3 314

Travis, TX..................................... 45.6 745.6 -4.6 78 1,427 8.3 111

Webb, TX..................................... 5.6 95.4 -7.1 208 742 3.9 324

Williamson, TX............................. 12.6 179.0 -2.4 21 1,236 8.4 103

Davis, UT..................................... 9.4 135.3 0.8 2 943 8.4 103

Salt Lake, UT................................ 51.8 707.5 -2.4 21 1,152 6.4 227

Utah, UT....................................... 19.0 259.3 1.9 1 981 5.6 266

Weber, UT.................................... 6.6 107.6 -1.9 13 880 5.8 259

Chittenden, VT............................. 7.3 94.6 -8.7 282 1,132 6.2 240

Arlington, VA................................ 9.2 171.4 -7.5 219 1,845 4.0 323

Chesterfield, VA........................... 9.5 130.6 -4.0 55 967 5.1 292

Fairfax, VA.................................... 37.2 592.3 -4.4 71 1,774 7.5 156

Henrico, VA.................................. 11.9 178.8 -6.7 194 1,083 5.5 271

Loudoun, VA................................ 13.1 164.7 -6.0 156 1,335 9.7 52

Prince William, VA........................ 9.7 125.3 -6.0 156 1,054 9.9 46

Alexandria City, VA...................... 6.3 82.6 -6.2 169 1,549 2.9 338

Chesapeake City, VA................... 6.3 98.2 -4.1 58 917 7.0 190

Newport News City, VA................ 4.0 98.8 -4.8 84 1,069 4.5 309

Norfolk City, VA........................... 6.1 131.1 -7.1 208 1,129 5.1 292

Richmond City, VA....................... 8.0 145.9 -7.8 236 1,301 8.2 119

Virginia Beach City, VA................ 12.5 168.6 -5.3 115 902 7.9 131

Benton, WA.................................. 6.2 88.6 -5.6 127 1,175 6.3 233

Clark, WA..................................... 16.1 156.1 -5.7 136 1,148 8.5 95

King, WA...................................... 91.7 1,340.0 -6.9 200 2,077 14.3 11

Kitsap, WA.................................... 7.1 87.1 -5.6 127 1,117 9.8 49

Pierce, WA................................... 24.1 300.2 -6.4 178 1,114 7.1 181

Snohomish, WA............................ 22.4 271.5 -7.6 220 1,243 6.2 240

Spokane, WA............................... 17.2 218.1 -6.2 169 1,018 7.0 190

Thurston, WA............................... 8.9 113.2 -5.6 127 1,117 7.2 175

Whatcom, WA.............................. 7.6 84.5 -7.6 220 1,007 7.9 131

Yakima, WA................................. 8.2 119.7 -5.4 120 843 6.4 227

Kanawha, WV............................... 5.6 88.7 -8.6 276 981 2.9 338

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

third quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-203

Ranking by

percent

change

Third

quarter

2020

Percent

change,

third quarter

2019-203

Ranking by

percent

change

Brown, WI..................................... 7.3 151.3 -4.9 90 $1,012 6.5 221

Dane, WI...................................... 16.6 327.2 -5.2 105 1,124 6.7 209

Milwaukee, WI.............................. 27.8 449.3 -8.0 245 1,053 4.4 312

Outagamie, WI............................. 5.7 103.3 -5.0 94 964 5.4 276

Racine, WI................................. 4.8 70.9 -5.8 145 964 5.9 254

Waukesha, WI.............................. 13.9 234.3 -4.9 90 1,103 4.6 307

Winnebago, WI............................. 4.0 90.1 -2.6 24 1,015 4.4 312

San Juan, PR............................... 10.8 223.6 -7.3 (5) 669 4.7 (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 72.9 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

third quarter 2020

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-202

Third

quarter

2020

Percent

change,

third quarter

2019-202

United States3................................................................ 10,561.3 138,549.5 -6.8 $1,173 7.4

 Private industry........................................................... 10,258.7 117,260.0 -7.5 1,170 7.8

 Natural resources and mining.................................. 140.8 1,826.9 -10.3 1,070 -3.6

 Construction............................................................. 853.3 7,308.2 -4.7 1,269 3.8

 Manufacturing.......................................................... 360.0 12,034.4 -6.1 1,321 4.2

 Trade, transportation, and utilities............................ 1,956.6 26,426.4 -3.3 970 5.1

 Information............................................................... 201.1 2,643.3 -8.1 2,573 15.7

 Financial activities.................................................... 949.9 8,144.6 -2.3 1,735 7.6

 Professional and business services......................... 1,992.9 20,097.4 -5.6 1,520 7.1

 Education and health services................................. 1,878.3 22,069.6 -5.0 1,056 6.2

 Leisure and hospitality............................................. 891.0 12,637.4 -24.0 482 0.6

 Other services.......................................................... 830.4 3,900.0 -13.0 836 9.3

 Government................................................................ 302.6 21,289.5 -2.8 1,189 4.7

Los Angeles, CA............................................................ 521.9 3,973.9 -11.8 1,334 9.1

 Private industry........................................................... 515.5 3,421.2 -13.0 1,293 9.4

 Natural resources and mining.................................. 0.6 6.2 -1.3 1,089 -0.9

 Construction............................................................. 17.7 144.2 -5.0 1,391 5.1

 Manufacturing.......................................................... 12.6 307.5 -9.5 1,428 6.1

 Trade, transportation, and utilities............................ 60.0 766.7 -8.0 1,071 5.3

 Information............................................................... 14.0 163.0 -21.7 2,842 16.9

 Financial activities.................................................... 31.3 205.2 -6.7 2,014 8.2

 Professional and business services......................... 59.0 567.9 -10.9 1,616 9.5

 Education and health services................................. 248.8 792.2 -4.8 994 7.1

 Leisure and hospitality............................................. 40.8 354.9 -35.6 757 7.7

 Other services.......................................................... 29.7 112.8 -26.7 919 11.0

 Government................................................................ 6.4 552.8 -3.5 1,602 5.9

Cook, IL......................................................................... 140.2 2,367.3 -9.8 1,332 7.0

 Private industry........................................................... 138.9 2,083.6 -10.5 1,342 7.3

 Natural resources and mining.................................. 0.1 1.7 13.4 1,229 -0.2

 Construction............................................................. 11.3 72.5 -10.0 1,586 3.1

 Manufacturing.......................................................... 5.7 174.0 -6.2 1,320 2.9

 Trade, transportation, and utilities............................ 28.6 437.5 -6.0 1,046 1.3

 Information............................................................... 2.6 49.0 -8.3 2,298 10.9

 Financial activities.................................................... 14.3 203.0 -1.7 2,281 5.4

 Professional and business services......................... 29.5 439.7 -9.3 1,653 5.6

 Education and health services................................. 16.2 427.7 -5.9 1,124 6.3

 Leisure and hospitality............................................. 14.0 194.2 -34.9 598 0.2

 Other services.......................................................... 15.9 84.0 -13.6 1,064 9.4

 Government................................................................ 1.3 283.8 -4.1 1,259 5.7

New York, NY................................................................ 130.0 2,110.1 -15.9 2,342 13.7

 Private industry........................................................... 128.5 1,877.1 -17.5 2,430 15.4

 Natural resources and mining.................................. 0.0 0.2 9.1 2,112 -9.7

 Construction............................................................. 2.4 38.5 -10.5 2,056 5.3

 Manufacturing.......................................................... 1.8 14.7 -33.8 1,675 12.8

 Trade, transportation, and utilities............................ 18.2 196.3 -22.1 1,637 11.4

 Information............................................................... 5.9 172.4 -11.9 3,357 18.8

 Financial activities.................................................... 19.6 379.3 -3.4 3,610 5.3

 Professional and business services......................... 29.5 526.6 -10.6 2,614 7.9

 Education and health services................................. 10.4 329.2 -8.3 1,554 8.3

 Leisure and hospitality............................................. 14.4 127.9 -58.8 1,149 15.5

 Other services.......................................................... 19.5 87.7 -18.5 1,428 14.1

 Government................................................................ 1.5 232.9 -0.2 1,628 1.5

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

third quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-202

Third

quarter

2020

Percent

change,

third quarter

2019-202

Harris, TX....................................................................... 119.8 2,171.8 -7.7 $1,336 1.4

 Private industry........................................................... 119.3 1,890.8 -9.0 1,346 1.4

 Natural resources and mining.................................. 1.5 53.1 -20.7 3,309 -0.4

 Construction............................................................. 8.0 150.2 -14.0 1,404 2.2

 Manufacturing.......................................................... 4.9 158.6 -11.7 1,556 -1.5

 Trade, transportation, and utilities............................ 25.4 448.3 -4.4 1,196 0.8

 Information............................................................... 1.3 22.1 -14.9 1,724 10.0

 Financial activities.................................................... 13.0 125.3 -3.6 1,748 3.0

 Professional and business services......................... 24.2 386.2 -6.8 1,647 -0.2

 Education and health services................................. 17.3 293.2 -3.7 1,118 5.0

 Leisure and hospitality............................................. 10.8 191.8 -20.9 496 -3.5

 Other services.......................................................... 11.7 60.5 -11.8 880 2.9

 Government................................................................ 0.6 281.0 1.9 1,264 1.9

Maricopa, AZ................................................................. 113.2 1,987.7 -4.1 1,139 7.4

 Private industry........................................................... 112.4 1,774.5 -4.3 1,130 7.4

 Natural resources and mining.................................. 0.5 6.8 -9.9 1,261 21.8

 Construction............................................................. 9.0 130.9 -1.6 1,214 4.7

 Manufacturing.......................................................... 3.6 127.9 -3.0 1,431 3.4

 Trade, transportation, and utilities............................ 22.0 397.4 1.9 1,009 5.8

 Information............................................................... 2.5 35.1 -9.7 1,755 14.9

 Financial activities.................................................... 15.0 192.8 1.4 1,503 6.8

 Professional and business services......................... 28.8 332.5 -4.2 1,201 6.8

 Education and health services................................. 14.2 326.0 -2.6 1,111 5.3

 Leisure and hospitality............................................. 9.4 174.9 -22.8 546 4.2

 Other services.......................................................... 7.3 49.9 -8.1 830 5.6

 Government................................................................ 0.7 213.2 -2.1 1,216 5.9

Dallas, TX...................................................................... 80.6 1,653.8 -4.6 1,355 4.1

 Private industry........................................................... 80.1 1,475.6 -5.2 1,364 4.0

 Natural resources and mining.................................. 0.5 7.4 -12.8 2,518 -11.7

 Construction............................................................. 5.0 89.5 -5.6 1,363 3.6

 Manufacturing.......................................................... 2.9 114.5 -3.9 1,524 -3.7

 Trade, transportation, and utilities............................ 16.3 349.6 0.5 1,190 2.3

 Information............................................................... 1.5 44.0 -6.0 2,077 5.4

 Financial activities.................................................... 10.1 159.2 -0.3 1,845 2.2

 Professional and business services......................... 18.4 348.2 -4.4 1,592 4.3

 Education and health services................................. 10.1 197.3 -3.3 1,188 4.3

 Leisure and hospitality............................................. 7.3 128.4 -23.4 550 0.5

 Other services.......................................................... 7.2 36.4 -17.1 934 9.1

 Government................................................................ 0.5 178.2 0.6 1,273 4.3

Orange, CA.................................................................... 131.0 1,461.5 -11.1 1,330 10.2

 Private industry........................................................... 129.6 1,319.6 -11.7 1,317 10.0

 Natural resources and mining.................................. 0.2 2.2 -6.5 905 -0.5

 Construction............................................................. 8.0 100.8 -6.1 1,539 4.7

 Manufacturing.......................................................... 5.3 145.1 -8.4 1,543 2.5

 Trade, transportation, and utilities............................ 18.8 237.3 -6.5 1,145 7.3

 Information............................................................... 1.7 23.3 -8.4 2,388 12.3

 Financial activities.................................................... 13.5 113.4 -3.5 2,137 6.9

 Professional and business services......................... 24.5 297.9 -8.6 1,481 9.0

 Education and health services................................. 39.5 216.9 -5.1 1,045 4.7

 Leisure and hospitality............................................. 10.0 142.9 -37.3 572 6.1

 Other services.......................................................... 8.0 39.6 -16.9 823 6.7

 Government................................................................ 1.4 141.9 -5.2 1,462 11.0

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

third quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-202

Third

quarter

2020

Percent

change,

third quarter

2019-202

San Diego, CA............................................................... 119.0 1,350.0 -9.4 $1,332 11.1

 Private industry........................................................... 117.1 1,126.2 -10.2 1,296 12.0

 Natural resources and mining.................................. 0.7 9.7 -6.8 841 5.4

 Construction............................................................. 8.2 80.4 -5.2 1,391 7.2

 Manufacturing.......................................................... 3.6 112.8 -4.5 1,746 7.3

 Trade, transportation, and utilities............................ 15.4 206.8 -5.9 985 9.1

 Information............................................................... 1.5 21.2 -9.0 2,637 6.2

 Financial activities.................................................... 11.6 72.5 -5.2 1,719 11.5

 Professional and business services......................... 22.0 240.7 -4.9 1,766 8.9

 Education and health services................................. 36.2 202.2 -4.4 1,057 6.7

 Leisure and hospitality............................................. 9.3 139.1 -31.3 602 10.1

 Other services.......................................................... 8.4 40.8 -23.7 761 14.6

 Government................................................................ 2.0 223.8 -5.1 1,518 5.7

King, WA........................................................................ 91.7 1,340.0 -6.9 2,077 14.3

 Private industry........................................................... 91.1 1,172.1 -7.7 2,149 15.7

 Natural resources and mining.................................. 0.4 3.1 3.2 1,237 -5.2

 Construction............................................................. 7.0 74.0 -3.6 1,567 4.3

 Manufacturing.......................................................... 2.5 90.3 -14.5 1,691 2.1

 Trade, transportation, and utilities............................ 13.5 275.4 -0.6 1,915 9.5

 Information............................................................... 2.8 130.0 4.8 6,293 16.6

 Financial activities.................................................... 7.3 67.8 -2.9 2,051 12.1

 Professional and business services......................... 19.3 227.7 -4.7 2,017 8.2

 Education and health services................................. 21.3 171.1 -4.6 1,163 4.7

 Leisure and hospitality............................................. 7.4 91.9 -37.3 641 -0.5

 Other services.......................................................... 9.6 40.7 -15.6 1,094 16.8

 Government................................................................ 0.6 167.9 -1.2 1,576 4.4

Miami-Dade, FL............................................................. 108.1 1,048.5 -9.5 1,116 7.8

 Private industry........................................................... 107.7 913.3 -10.4 1,085 8.2

 Natural resources and mining.................................. 0.5 9.1 7.1 698 3.9

 Construction............................................................. 7.5 51.0 -3.6 1,058 5.8

 Manufacturing.......................................................... 2.9 39.5 -5.6 971 4.0

 Trade, transportation, and utilities............................ 25.1 262.4 -8.9 963 2.8

 Information............................................................... 1.7 16.9 -12.4 1,836 14.1

 Financial activities.................................................... 11.7 74.1 -2.0 1,658 5.7

 Professional and business services......................... 25.3 156.1 -5.5 1,312 8.7

 Education and health services................................. 13.5 178.1 -4.6 1,088 7.1

 Leisure and hospitality............................................. 7.9 92.6 -35.4 661 4.8

 Other services.......................................................... 8.4 32.7 -13.7 737 7.9

 Government................................................................ 0.3 135.2 -3.1 1,333 4.4

1 Average weekly wages were calculated using unrounded data.

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

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

Note: Data are preliminary. Counties selected are based on 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,

third quarter 2020

Employment Average weekly wage 1

State

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-20

Third

quarter

2020

Percent

change,

third quarter

2019-20

United States2.......................................... 10,561.3 138,549.5 -6.8 $1,173 7.4

Alabama................................................... 132.2 1,902.4 -4.5 978 6.4

Alaska...................................................... 22.9 302.6 -10.7 1,165 5.4

Arizona..................................................... 174.1 2,797.1 -4.2 1,091 7.3

Arkansas.................................................. 93.6 1,180.1 -3.4 892 6.1

California.................................................. 1,643.8 16,096.8 -9.2 1,466 12.0

Colorado.................................................. 220.1 2,597.2 -5.6 1,235 5.6

Connecticut.............................................. 125.4 1,555.6 -7.3 1,328 7.4

Delaware.................................................. 34.9 428.8 -5.6 1,150 6.8

District of Columbia.................................. 43.3 713.7 -8.1 1,962 6.1

Florida...................................................... 749.1 8,329.7 -5.8 1,029 8.0

Georgia.................................................... 313.0 4,282.1 -5.2 1,084 5.8

Hawaii...................................................... 46.5 507.5 -22.9 1,114 10.3

Idaho........................................................ 70.7 763.7 -0.2 884 5.5

Illinois....................................................... 385.9 5,558.5 -7.8 1,199 6.8

Indiana..................................................... 172.4 2,941.8 -4.7 961 5.3

Iowa......................................................... 105.1 1,475.0 -5.2 969 6.0

Kansas..................................................... 89.2 1,325.4 -5.0 952 6.6

Kentucky.................................................. 128.0 1,807.1 -5.5 935 5.8

Louisiana................................................. 139.5 1,734.6 -9.6 970 5.2

Maine....................................................... 54.4 597.3 -5.9 966 9.0

Maryland.................................................. 172.4 2,496.6 -7.6 1,277 9.5

Massachusetts......................................... 265.1 3,314.8 -9.4 1,488 9.7

Michigan.................................................. 266.9 4,035.9 -7.9 1,096 7.5

Minnesota................................................ 183.1 2,703.3 -7.4 1,178 6.4

Mississippi............................................... 74.9 1,092.4 -4.0 810 5.6

Missouri................................................... 218.8 2,681.7 -5.1 995 5.6

Montana................................................... 53.0 466.9 -2.5 904 6.6

Nebraska................................................. 73.7 949.9 -3.8 964 6.4

Nevada.................................................... 87.9 1,251.0 -11.6 1,048 7.8

New Hampshire....................................... 56.1 634.2 -5.2 1,171 8.9

New Jersey.............................................. 289.3 3,778.4 -8.0 1,331 9.5

New Mexico............................................. 63.1 771.9 -8.6 944 5.1

New York................................................. 657.6 8,547.7 -10.8 1,446 10.0

North Carolina.......................................... 301.4 4,308.2 -4.4 1,039 6.9

North Dakota............................................ 32.5 398.2 -7.0 1,025 -0.3

Ohio......................................................... 305.7 5,136.8 -5.6 1,040 6.6

Oklahoma................................................ 112.4 1,538.5 -5.7 917 2.3

Oregon..................................................... 164.6 1,837.3 -7.0 1,113 7.4

Pennsylvania........................................... 366.5 5,501.0 -7.6 1,139 7.0

Rhode Island............................................ 40.1 452.5 -8.0 1,092 10.4

South Carolina......................................... 146.6 2,022.9 -5.2 924 6.7

South Dakota........................................... 35.2 422.3 -2.6 918 7.2

Tennessee............................................... 173.6 2,918.1 -4.6 1,022 5.8

Texas....................................................... 733.1 11,926.8 -5.5 1,150 3.8

Utah......................................................... 114.3 1,518.2 -1.0 1,015 6.1

Vermont................................................... 26.4 283.9 -8.6 1,001 7.9

Virginia..................................................... 285.7 3,737.0 -5.0 1,201 6.4

Washington.............................................. 256.6 3,266.2 -6.3 1,482 11.0

West Virginia........................................... 51.7 649.1 -6.7 913 1.8

Wisconsin................................................ 181.2 2,746.6 -5.2 977 5.3

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

third quarter 2020 - Continued

Employment Average weekly wage 1

State

Establishments,

third quarter

2020

(thousands)

September

2020

(thousands)

Percent

change,

September

2019-20

Third

quarter

2020

Percent

change,

third quarter

2019-20

Wyoming.................................................. 27.5 264.0 -6.8 $939 -0.4

Puerto Rico.............................................. 45.7 831.6 -5.3 547 3.4

Virgin Islands........................................... 3.4 33.9 -13.0 1,019 -0.5

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.