For release 10:00 a.m. (ET), Wednesday, May 19, 2021 USDL-21-0906

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

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

COUNTY EMPLOYMENT AND WAGES – FOURTH QUARTER 2020

From December 2019 to December 2020, employment decreased in 352 of the 357 largest U.S.

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

(as measured by the QCEW program) decreased to 140.9 million, a 6.1-percent decrease over the year. 

Maui + Kalawao, HI, had the largest over-the-year decrease in employment with a loss of 22.8 percent. 

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

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

contain it.

Among the 357 largest counties, 356 had over-the-year increases in average weekly wages. In the 

fourth quarter of 2020, average weekly wages for the nation increased to $1,339, a 13.0-percent increase 

over the year. San Francisco, CA, had the largest fourth quarter over-the-year wage gain at 44.3 percent. 

(See table 1.) Nationally, across most industries, increases in average weekly wages reflect substantial 

employment declines combined with wage increases. The lowest paying industry, leisure and hospitality, 

had the largest employment loss, which results in higher average weekly wages for the industry and the 

nation.

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

-23% -21% -19% -17% -15% -13% -11% -9% -7% -5% -3% -1% 1% 3%

Utah, UT

Davis, UT

Rutherford, TN

Elkhart, IN

Cleveland, OK

Atlantic, NJ

San Francisco, CA

Clark, NV

Honolulu, HI

New York, NY

Calcasieu, LA

Orleans, LA

Midland, TX

Ector, TX

Maui + Kalawao, HI
- 2 -

Large County Employment in December 2020

Maui + Kalawao, HI, had the largest over-the-year percentage decrease in employment (-22.8 percent). 

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

10,959 jobs over the year (-42.1 percent).

Utah, UT, experienced the largest over-the-year percentage increase in employment with a gain of 3.8 

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

gain of 3,769 jobs (+9.8 percent).

Large County Average Weekly Wage in Fourth Quarter 2020

San Francisco, CA, had the largest over-the-year percentage increase in average weekly wages (+44.3

percent). Within San Francisco, an average weekly wage gain of $5,478 (+569.4 percent) in leisure and 

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

Ector, TX, had the only over-the-year percentage decrease in average weekly wages with a loss of 7.5 

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

wage decrease of $141 (-7.3 percent) over the year.

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

and smallest gains and losses

-8% -4% 0% 4% 8% 12% 16% 20% 24% 28% 32% 36% 40% 44%

Ector, TX

Santa Cruz, CA

Douglas, CO

Gregg, TX

Wyandotte, KS

Hillsborough, NH

San Diego, CA

King, WA

Suffolk, MA

New York, NY

New Hanover, NC

Kitsap, WA

Santa Clara, CA

San Mateo, CA

San Francisco, CA
- 3 -

Ten Largest Counties

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

2020, New York, NY, had the largest over-the-year employment percentage loss (-15.6 percent). Within 

New York, leisure and hospitality had the largest employment decrease with a loss of 172,534 jobs 

(-54.4 percent). (See table 2.)

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

quarter 2020, New York, NY, experienced the largest over-the-year percentage gain in average weekly 

wages (+20.9 percent). Within New York, professional and business services had the largest impact, 

with an average weekly wage increase of $619 (+21.0 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. December 2020 employment and 

fourth 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 fourth quarter 2020 is scheduled to be 

released on Wednesday, June 2, 2021, at 10:00 a.m. (ET). 

The County Employment and Wages news release for first quarter 2021 is scheduled to be 

released on Wednesday, August 18, 2021, at 10:00 a.m. (ET). 
- 4 -

QCEW Imputation Issue Caused by Pandemic-Related Challenges

In the spring of 2020, BLS modified its imputation process for QCEW to be more responsive 

to current economic conditions. While continuing work to improve this process, BLS made an 

unintended data processing error. This error affected data for the second, third, and fourth 

quarters of 2020. BLS has analyzed this issue and has determined that the impact on QCEW 

employment was negligible at the statewide level. In smaller areas and industries, revisions 

may be larger than usual. Wage data were not affected. Following the usual QCEW practice,

these data will be revised and corrected with the full data update on September 1, 2021.

For more information on QCEW imputation methodology, see www.bls.gov/cew/additionalresources/imputation-methodology.htm. 
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,

fourth quarter 2020

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

United States4.............................. 10,675.8 140,881.3 -6.1 - $1,339 13.0 -

Baldwin, AL.................................. 6.9 74.3 -1.7 23 876 11.9 199

Jefferson, AL................................ 19.9 344.5 -3.9 78 1,260 10.4 272

Madison, AL................................. 10.5 208.0 -1.2 15 1,414 14.4 73

Mobile, AL.................................... 10.6 165.8 -5.0 127 1,119 12.1 189

Montgomery, AL........................... 6.5 126.8 -3.6 68 1,106 11.4 227

Shelby, AL.................................... 6.1 83.0 -2.8 49 1,211 10.0 291

Tuscaloosa, AL............................. 4.8 90.7 -8.2 269 1,036 10.4 272

Anchorage, AK............................. 8.4 134.6 -8.1 266 1,332 11.1 242

Maricopa, AZ................................ 113.1 2,069.7 -3.0 56 1,273 14.8 59

Pima, AZ....................................... 19.5 367.5 -4.8 120 1,106 13.9 94

Benton, AR................................... 7.2 124.3 -1.5 18 1,232 10.5 266

Pulaski, AR................................... 14.6 242.4 -4.3 100 1,149 13.9 94

Washington, AR........................... 6.5 109.3 -2.8 49 1,121 10.3 279

Alameda, CA................................ 67.3 729.1 -8.9 296 1,831 16.5 29

Butte, CA..................................... 8.4 75.1 -9.1 305 1,046 15.6 45

Contra Costa, CA......................... 35.3 340.3 -9.1 305 1,609 13.9 94

Fresno, CA................................... 38.9 376.4 -6.2 186 1,059 12.1 189

Kern, CA....................................... 22.5 319.2 -4.4 103 1,069 11.0 248

Los Angeles, CA........................... 528.3 4,105.3 -10.5 337 1,612 12.4 176

Marin, CA..................................... 12.9 104.3 -11.0 342 1,758 16.4 30

Merced, CA................................. 7.1 75.7 -5.3 142 998 13.3 127

Monterey, CA............................... 14.5 165.2 -8.8 294 1,100 9.9 295

Napa, CA..................................... 6.0 67.0 -12.7 347 1,331 11.8 205

Orange, CA.................................. 133.0 1,501.1 -9.6 320 1,513 16.6 27

Placer, CA.................................... 14.4 163.3 -6.4 198 1,382 17.3 19

Riverside, CA............................... 72.7 739.8 -5.8 167 1,051 14.5 69

Sacramento, CA........................... 64.3 653.3 -5.3 142 1,407 10.5 266

San Bernardino, CA..................... 66.6 780.3 -3.8 74 1,115 14.7 64

San Diego, CA.............................. 120.1 1,369.8 -9.3 314 1,564 19.2 9

San Francisco, CA....................... 62.2 665.6 -14.0 349 3,646 44.3 1

San Joaquin, CA.......................... 19.2 256.5 -2.2 32 1,140 14.1 84

San Luis Obispo, CA.................... 10.9 107.3 -9.3 314 1,202 14.3 76

San Mateo, CA............................. 29.6 383.9 -9.2 310 3,435 31.0 2

Santa Barbara, CA....................... 16.2 197.9 -6.9 221 1,239 10.5 266

Santa Clara, CA........................... 76.8 1,047.3 -8.2 269 3,690 30.6 3

Santa Cruz, CA............................ 9.9 94.5 -8.2 269 1,241 0.2 356

Solano, CA................................... 12.0 131.5 -8.5 284 1,347 12.7 161

Sonoma, CA................................. 20.4 191.2 -10.1 330 1,378 15.0 52

Stanislaus, CA.............................. 16.7 183.4 -4.3 100 1,106 11.7 211

Tulare, CA.................................... 12.1 155.0 -4.2 97 963 13.2 130

Ventura, CA.................................. 28.7 309.0 -7.7 252 1,329 14.7 64

Yolo, CA....................................... 7.4 102.7 -4.7 114 1,376 11.2 233

Adams, CO................................... 12.2 226.6 -2.3 35 1,217 8.3 327

Arapahoe, CO.............................. 23.6 321.5 -4.6 107 1,530 13.2 130

Boulder, CO.................................. 16.7 178.9 -6.3 191 1,669 17.5 15

Denver, CO.................................. 36.6 485.1 -9.8 326 1,683 15.3 47

Douglas, CO................................. 13.4 130.6 -2.4 37 1,512 0.8 355

El Paso, CO.................................. 21.8 276.4 -4.0 83 1,186 13.5 112

Jefferson, CO............................... 21.8 232.2 -5.3 142 1,376 12.8 153

Larimer, CO.................................. 13.3 156.3 -6.2 186 1,230 12.8 153

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Weld, CO...................................... 8.2 104.8 -8.7 290 $1,106 5.8 347

Fairfield, CT................................. 37.8 389.5 -7.6 247 2,031 15.7 42

Hartford, CT.................................. 30.0 485.3 -6.4 198 1,503 8.7 324

New Haven, CT............................ 25.8 356.0 -5.5 151 1,316 11.0 248

New London, CT.......................... 7.9 110.2 -9.8 326 1,264 14.9 54

New Castle, DE............................ 21.6 279.9 -6.3 191 1,389 11.0 248

Sussex, DE.................................. 7.8 79.6 -2.8 49 974 11.6 214

Washington, DC........................... 43.8 712.9 -8.9 296 2,293 15.2 50

Alachua, FL.................................. 7.6 130.4 -4.2 97 1,122 14.5 69

Brevard, FL................................... 17.2 219.7 -2.9 54 1,159 9.9 295

Broward, FL.................................. 76.5 778.8 -7.6 247 1,247 13.6 110

Collier, FL..................................... 16.0 149.9 -5.7 161 1,209 17.5 15

Duval, FL..................................... 32.0 524.3 -2.4 37 1,217 11.0 248

Escambia, FL............................... 8.8 136.0 -3.4 62 1,027 12.2 187

Hillsborough, FL........................... 48.6 701.4 -4.1 88 1,267 12.9 147

Lake, FL....................................... 9.3 102.8 -2.5 41 892 12.3 182

Lee, FL......................................... 24.9 265.6 -4.6 107 1,038 11.0 248

Leon, FL....................................... 9.3 147.5 -4.4 103 1,061 12.8 153

Manatee, FL................................. 12.4 129.0 -4.8 120 1,039 16.7 26

Marion, FL.................................... 9.1 107.5 -3.1 59 918 14.3 76

Miami-Dade, FL............................ 110.4 1,089.3 -8.3 275 1,295 14.0 89

Okaloosa, FL................................ 6.9 85.4 -0.5 7 1,087 13.2 130

Orange, FL................................... 48.5 778.4 -12.2 346 1,214 16.4 30

Osceola, FL.................................. 8.3 92.4 -9.7 325 885 11.5 219

Palm Beach, FL............................ 62.7 590.5 -6.6 207 1,321 14.5 69

Pasco, FL..................................... 12.3 123.2 -2.0 25 935 12.9 147

Pinellas, FL................................... 36.3 429.6 -3.8 74 1,187 11.0 248

Polk, FL........................................ 15.2 238.1 -0.4 6 974 12.5 174

St. Johns, FL............................... 8.7 81.1 -1.0 13 1,006 11.8 205

St. Lucie, FL............................... 7.4 81.2 -1.5 18 929 9.2 315

Sarasota, FL................................ 17.6 167.3 -4.7 114 1,085 11.7 211

Seminole, FL................................ 16.5 196.7 -4.1 88 1,113 11.5 219

Volusia, FL................................... 15.6 169.0 -4.9 124 928 9.4 309

Bibb, GA....................................... 4.6 80.2 -4.8 120 980 10.5 266

Chatham, GA................................ 9.0 157.7 -5.0 127 1,043 9.0 319

Clayton, GA.................................. 4.5 113.4 -10.1 330 1,169 6.9 341

Cobb, GA...................................... 24.6 365.4 -4.0 83 1,357 13.3 127

DeKalb, GA................................. 20.0 291.9 -5.2 138 1,285 10.0 291

Forsyth, GA.................................. 6.6 76.2 -2.9 54 1,135 8.3 327

Fulton, GA.................................... 49.7 858.5 -6.7 212 1,707 12.7 161

Gwinnett, GA................................ 28.4 352.8 -4.7 114 1,204 10.2 282

Hall, GA....................................... 5.0 90.2 -2.0 25 1,157 12.5 174

Muscogee, GA.............................. 4.8 91.9 -4.7 114 967 10.9 255

Richmond, GA.............................. 4.8 102.2 -2.8 49 1,047 11.1 242

Honolulu, HI.................................. 28.1 404.4 -15.1 351 1,282 16.0 38

Maui + Kalawao, HI...................... 7.0 63.5 -22.8 357 1,047 12.7 161

Ada, ID......................................... 18.7 255.3 -0.6 9 1,263 14.4 73

Champaign, IL.............................. 4.2 88.4 -5.0 127 1,086 10.7 261

Cook, IL........................................ 140.7 2,377.0 -10.1 330 1,571 14.6 66

DuPage, IL................................. 34.8 572.7 -7.8 256 1,456 11.9 199

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Kane, IL........................................ 12.7 194.0 -9.1 305 $1,166 13.3 127

Lake, IL........................................ 20.4 317.0 -7.3 241 1,637 12.7 161

McHenry, IL.................................. 7.9 90.4 -7.1 230 1,024 10.9 255

McLean, IL.................................... 3.3 77.5 -6.0 174 1,175 18.4 11

Madison, IL................................... 5.4 101.0 -3.9 78 990 9.8 299

Peoria, IL...................................... 4.2 97.3 -6.8 218 1,333 14.5 69

St. Clair, IL.................................... 5.0 86.3 -7.6 247 1,032 14.8 59

Sangamon, IL............................... 4.8 121.6 -5.9 170 1,204 7.5 333

Will, IL.......................................... 15.4 241.8 -5.9 170 1,097 12.9 147

Winnebago, IL.............................. 5.9 115.2 -9.0 301 1,053 10.0 291

Allen, IN........................................ 9.3 186.2 -4.1 88 1,048 10.3 279

Elkhart, IN..................................... 4.8 132.7 0.2 4 1,138 18.2 14

Hamilton, IN.................................. 10.2 143.1 -1.5 18 1,234 12.7 161

Lake, IN........................................ 10.6 180.8 -5.3 142 1,065 9.0 319

Marion, IN..................................... 25.2 575.5 -5.7 161 1,299 13.0 140

St. Joseph, IN............................... 5.9 117.3 -6.7 212 1,051 13.1 138

Tippecanoe, IN............................. 3.7 83.1 -5.1 134 1,068 8.1 330

Vanderburgh, IN........................... 4.9 105.5 -4.1 88 1,041 13.9 94

Johnson, IA.................................. 4.5 79.3 -5.6 154 1,151 12.2 187

Linn, IA......................................... 7.2 124.3 -6.3 191 1,216 12.6 170

Polk, IA........................................ 18.5 293.0 -4.1 88 1,313 11.9 199

Scott, IA........................................ 5.8 85.3 -6.1 181 1,068 11.3 230

Johnson, KS................................. 24.6 345.9 -4.2 97 1,313 13.0 140

Sedgwick, KS............................... 12.8 242.0 -7.6 247 1,098 13.7 105

Shawnee, KS................................ 5.1 94.0 -2.1 28 1,039 13.7 105

Wyandotte, KS............................. 3.5 88.2 -4.5 106 1,167 2.8 353

Boone, KY................................... 4.9 98.3 -2.1 28 1,066 10.9 255

Fayette, KY................................... 12.1 184.9 -7.4 243 1,163 13.7 105

Jefferson, KY................................ 27.6 455.1 -5.4 148 1,256 9.1 317

Caddo, LA.................................... 7.5 104.9 -5.8 167 1,032 9.8 299

Calcasieu, LA............................... 5.7 83.0 -16.4 353 1,186 12.1 189

East Baton Rouge, LA.................. 17.3 251.5 -5.7 161 1,187 9.2 315

Jefferson, LA................................ 14.9 180.6 -6.3 191 1,140 9.1 317

Lafayette, LA................................ 10.6 125.3 -5.7 161 1,046 6.3 344

Orleans, LA.................................. 14.6 169.4 -16.7 354 1,264 16.9 22

St. Tammany, LA.......................... 9.3 89.2 -2.4 37 1,046 8.7 324

Cumberland, ME.......................... 14.6 177.9 -6.4 198 1,275 17.1 20

Anne Arundel, MD........................ 15.5 258.0 -8.0 262 1,400 13.5 112

Baltimore, MD............................... 21.1 356.3 -8.0 262 1,360 14.8 59

Frederick, MD............................... 6.6 98.9 -6.7 212 1,207 13.8 100

Harford, MD.................................. 5.9 92.1 -6.1 181 1,235 14.6 66

Howard, MD................................. 10.1 160.5 -9.2 310 1,671 16.9 22

Montgomery, MD.......................... 33.0 444.1 -7.0 228 1,758 14.9 54

Prince George's, MD.................... 16.3 298.1 -8.9 296 1,358 12.7 161

Baltimore City, MD....................... 13.8 327.2 -6.8 218 1,593 11.2 233

Barnstable, MA............................. 9.6 84.0 -8.1 266 1,189 14.0 89

Bristol, MA.................................... 17.9 214.9 -7.5 244 1,211 14.1 84

Essex, MA.................................... 28.1 302.2 -8.2 269 1,400 14.4 73

Hampden, MA.............................. 19.1 198.3 -7.9 257 1,141 13.9 94

Middlesex, MA.............................. 57.8 879.0 -7.7 252 2,043 18.4 11

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Norfolk, MA................................... 25.8 323.2 -9.5 318 $1,629 16.2 36

Plymouth, MA............................... 16.6 182.5 -8.0 262 1,269 15.6 45

Suffolk, MA................................... 32.4 639.4 -10.4 336 2,558 19.9 7

Worcester, MA.............................. 26.9 332.8 -7.3 241 1,296 14.0 89

Genesee, MI................................. 7.2 124.1 -9.4 317 1,073 9.4 309

Ingham, MI................................... 6.5 139.7 -9.8 326 1,252 10.6 264

Kalamazoo, MI............................. 5.8 112.7 -8.6 288 1,190 13.8 100

Kent, MI....................................... 16.2 371.1 -10.7 339 1,194 16.4 30

Macomb, MI.................................. 18.9 306.0 -9.0 301 1,308 14.1 84

Oakland, MI.................................. 42.5 682.0 -9.6 320 1,473 12.6 170

Ottawa, MI.................................... 6.3 120.0 -6.8 218 1,133 13.0 140

Saginaw, MI.................................. 4.0 76.0 -10.8 340 1,076 13.9 94

Washtenaw, MI............................. 9.2 203.3 -9.5 318 1,365 13.7 105

Wayne, MI.................................... 34.9 676.4 -9.2 310 1,391 9.9 295

Anoka, MN.................................... 8.0 119.4 -7.9 257 1,198 10.4 272

Dakota, MN.................................. 11.0 176.6 -8.2 269 1,291 9.6 304

Hennepin, MN.............................. 43.4 854.4 -9.6 320 1,618 13.4 120

Olmsted, MN................................ 3.9 96.3 -5.7 161 1,458 10.7 261

Ramsey, MN................................. 14.4 306.1 -8.9 296 1,412 12.4 176

St. Louis, MN................................ 5.5 87.7 -10.3 334 1,077 9.8 299

Stearns, MN................................. 4.4 80.2 -7.5 244 1,087 14.3 76

Washington, MN........................... 6.3 83.7 -7.2 235 1,116 13.4 120

Harrison, MS................................ 4.7 83.2 -4.4 103 863 9.4 309

Hinds, MS..................................... 5.7 115.2 -3.8 74 1,034 11.2 233

Boone, MO................................... 5.1 93.5 -2.7 46 1,070 10.5 266

Clay, MO...................................... 6.1 105.5 -1.2 15 1,108 6.0 345

Greene, MO.................................. 9.9 168.1 -2.5 41 989 7.9 332

Jackson, MO................................ 23.8 356.9 -5.6 154 1,318 11.1 242

St. Charles, MO............................ 10.3 153.1 -2.7 46 1,030 11.1 242

St. Louis, MO................................ 43.1 574.2 -7.1 230 1,391 13.5 112

St. Louis City, MO........................ 15.9 212.7 -7.6 247 1,359 11.2 233

Yellowstone, MT........................... 6.9 81.7 -1.3 17 1,108 10.2 282

Douglas, NE................................. 19.1 332.8 -3.8 74 1,226 12.4 176

Lancaster, NE............................... 10.1 166.0 -4.6 107 1,056 11.5 219

Clark, NV..................................... 56.7 899.1 -14.3 350 1,141 13.4 120

Washoe, NV................................. 15.1 217.0 -6.0 174 1,218 14.8 59

Hillsborough, NH.......................... 12.6 196.4 -6.1 181 1,533 18.7 10

Merrimack, NH............................. 5.3 73.8 -6.1 181 1,278 15.9 40

Rockingham, NH.......................... 11.5 145.4 -5.2 138 1,346 15.3 47

Atlantic, NJ................................... 6.8 112.0 -12.9 348 1,115 14.2 81

Bergen, NJ................................... 34.4 411.2 -9.6 320 1,533 13.2 130

Burlington, NJ............................... 11.5 194.7 -5.0 127 1,379 16.6 27

Camden, NJ................................. 12.6 192.7 -7.2 235 1,317 13.5 112

Essex, NJ.................................... 21.8 309.0 -11.8 345 1,598 14.1 84

Gloucester, NJ.............................. 6.7 112.3 -5.4 148 1,075 12.4 176

Hudson, NJ................................... 16.6 253.0 -9.1 305 1,702 13.8 100

Mercer, NJ.................................... 11.7 253.1 -5.3 142 1,599 9.9 295

Middlesex, NJ.............................. 23.3 414.2 -5.2 138 1,475 12.0 195

Monmouth, NJ.............................. 20.9 248.9 -7.2 235 1,338 16.0 38

Morris, NJ..................................... 17.6 277.2 -7.7 252 1,986 17.4 17

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Ocean, NJ.................................... 14.2 163.2 -4.9 124 $1,058 12.6 170

Passaic, NJ.................................. 13.1 153.8 -10.2 333 1,243 14.2 81

Somerset, NJ............................... 10.6 178.8 -7.1 230 1,857 14.1 84

Union, NJ..................................... 15.3 215.7 -8.0 262 1,602 10.2 282

Bernalillo, NM............................... 21.0 310.0 -8.5 284 1,129 15.0 52

Albany, NY................................... 10.4 217.3 -7.9 257 1,359 12.7 161

Bronx, NY..................................... 19.5 307.4 -6.9 221 1,288 11.3 230

Broome, NY.................................. 4.3 78.5 -8.5 284 1,071 15.8 41

Dutchess, NY............................... 8.5 105.8 -8.5 284 1,242 12.8 153

Erie, NY........................................ 24.8 425.8 -10.9 341 1,188 14.0 89

Kings, NY..................................... 67.1 760.2 -8.7 290 1,132 10.4 272

Monroe, NY.................................. 19.0 356.7 -9.6 320 1,186 13.2 130

Nassau, NY.................................. 54.7 584.6 -9.3 314 1,456 13.0 140

New York, NY............................... 129.8 2,163.2 -15.6 352 3,036 20.9 6

Oneida, NY................................... 5.3 97.3 -8.8 294 1,015 13.2 130

Onondaga, NY.............................. 12.7 230.0 -8.6 288 1,205 12.7 161

Orange, NY.................................. 10.9 139.0 -8.4 279 1,126 12.9 147

Queens, NY.................................. 54.5 651.3 -10.5 337 1,276 9.6 304

Richmond, NY.............................. 10.2 125.5 -6.4 198 1,221 11.5 219

Rockland, NY............................... 11.3 122.9 -7.1 230 1,192 11.9 199

Saratoga, NY................................ 6.1 83.9 -7.1 230 1,213 15.7 42

Suffolk, NY................................... 54.1 624.6 -7.2 235 1,454 13.4 120

Westchester, NY.......................... 36.3 394.6 -10.3 334 1,681 10.2 282

Buncombe, NC............................. 10.4 126.9 -6.7 212 1,024 11.3 230

Cabarrus, NC............................... 5.3 77.7 -1.5 18 962 12.3 182

Catawba, NC................................ 4.6 86.2 -2.8 49 1,008 14.2 81

Cumberland, NC........................... 6.6 116.8 -5.1 134 970 12.0 195

Durham, NC................................. 9.2 216.0 -2.5 41 1,602 11.6 214

Forsyth, NC.................................. 9.8 186.6 -4.0 83 1,131 8.1 330

Guilford, NC.................................. 15.2 279.3 -3.7 71 1,089 9.4 309

Iredell, NC.................................. 5.8 77.2 -0.6 9 1,140 16.3 34

Mecklenburg, NC.......................... 42.0 711.0 -2.7 46 1,453 10.2 282

New Hanover, NC........................ 9.1 115.8 -3.5 65 1,133 21.4 5

Pitt, NC....................................... 4.0 75.6 -3.7 71 1,016 11.2 233

Wake, NC..................................... 39.4 567.4 -2.1 28 1,321 10.4 272

Cass, ND...................................... 7.7 116.8 -4.0 83 1,182 11.5 219

Butler, OH..................................... 8.2 153.0 -4.6 107 1,120 13.8 100

Cuyahoga, OH.............................. 36.9 686.7 -6.9 221 1,319 10.4 272

Delaware, OH............................... 6.0 86.6 -4.1 88 1,235 12.3 182

Franklin, OH................................. 35.1 741.0 -5.2 138 1,288 14.6 66

Greene, OH.................................. 3.8 75.2 -3.5 65 1,265 9.4 309

Hamilton, OH................................ 25.0 491.7 -6.5 205 1,387 11.8 205

Lake, OH...................................... 6.4 90.5 -6.9 221 1,034 10.1 289

Lorain, OH.................................... 6.4 92.5 -6.0 174 993 11.6 214

Lucas, OH.................................... 10.3 197.4 -6.7 212 1,117 10.6 264

Mahoning, OH.............................. 5.9 91.9 -6.6 207 906 10.9 255

Montgomery, OH.......................... 12.4 244.0 -5.6 154 1,112 12.8 153

Stark, OH..................................... 8.7 151.4 -5.1 134 987 13.2 130

Summit, OH................................. 14.8 254.1 -6.0 174 1,132 12.1 189

Warren, OH................................. 5.5 93.5 -4.6 107 1,210 17.0 21

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Cleveland, OK.............................. 6.2 87.0 0.1 5 $880 5.9 346

Oklahoma, OK.............................. 29.1 450.2 -4.3 100 1,160 9.5 307

Tulsa, OK..................................... 23.1 348.7 -5.6 154 1,087 7.2 337

Clackamas, OR............................ 16.3 157.9 -8.4 279 1,260 13.4 120

Deschutes, OR............................. 10.1 81.4 -6.0 174 1,130 16.9 22

Jackson, OR................................ 8.1 86.5 -6.3 191 1,009 12.7 161

Lane, OR...................................... 13.3 146.2 -8.4 279 1,054 14.8 59

Marion, OR................................... 11.9 151.2 -5.6 154 1,100 11.8 205

Multnomah, OR............................ 38.3 471.4 -11.0 342 1,440 15.3 47

Washington, OR........................... 21.2 285.1 -6.7 212 1,641 16.4 30

Allegheny, PA............................... 37.0 646.5 -8.3 275 1,393 11.2 233

Berks, PA..................................... 9.0 165.0 -6.4 198 1,148 12.9 147

Bucks, PA..................................... 20.7 250.0 -6.9 221 1,225 13.5 112

Butler, PA..................................... 5.2 82.6 -6.2 186 1,164 9.4 309

Chester, PA.................................. 16.1 240.1 -6.2 186 1,617 14.0 89

Cumberland, PA........................... 6.8 132.2 -5.0 127 1,157 11.8 205

Dauphin, PA................................ 7.7 176.3 -6.2 186 1,279 13.0 140

Delaware, PA............................... 14.4 211.0 -8.9 296 1,358 14.9 54

Erie, PA........................................ 6.9 111.8 -9.0 301 970 12.9 147

Lackawanna, PA.......................... 5.6 90.5 -8.3 275 991 13.5 112

Lancaster, PA............................... 14.0 235.0 -6.0 174 1,115 16.9 22

Lehigh, PA.................................... 8.9 186.0 -6.1 181 1,299 13.4 120

Luzerne, PA.................................. 7.6 137.4 -7.7 252 1,007 12.8 153

Montgomery, PA........................... 28.6 482.3 -6.6 207 1,627 17.4 17

Northampton, PA.......................... 6.9 114.3 -6.4 198 1,094 13.6 110

Philadelphia, PA........................... 35.5 633.9 -11.5 344 1,543 9.8 299

Washington, PA............................ 5.6 79.6 -9.9 329 1,220 7.1 339

Westmoreland, PA....................... 9.3 124.6 -7.5 244 1,028 10.3 279

York, PA....................................... 9.3 172.0 -6.0 174 1,115 11.2 233

Kent, RI....................................... 5.7 71.1 -9.1 305 1,144 14.3 76

Providence, RI.............................. 19.3 267.4 -9.0 301 1,299 14.9 54

Charleston, SC............................. 18.2 247.4 -5.6 154 1,179 11.9 199

Greenville, SC.............................. 16.5 273.2 -2.5 41 1,099 10.1 289

Horry, SC..................................... 10.3 121.6 -6.4 198 808 11.9 199

Lexington, SC............................... 7.5 121.5 -4.1 88 987 12.3 182

Richland, SC................................ 11.2 216.1 -3.6 68 1,078 11.5 219

Spartanburg, SC........................... 7.0 147.5 -3.0 56 1,037 10.2 282

York, SC....................................... 7.1 100.8 -2.2 32 1,041 10.5 266

Minnehaha, SD............................. 8.1 126.9 -2.0 25 1,207 18.3 13

Davidson, TN................................ 26.4 486.4 -6.6 207 1,421 13.4 120

Hamilton, TN................................ 10.9 204.5 -3.6 68 1,189 12.8 153

Knox, TN...................................... 13.7 237.3 -3.0 56 1,145 11.7 211

Rutherford, TN.............................. 6.5 136.7 0.5 3 1,084 8.8 322

Shelby, TN.................................... 22.0 488.3 -4.1 88 1,341 15.7 42

Williamson, TN............................. 10.5 140.6 -2.1 28 1,509 9.7 303

Bell, TX......................................... 6.0 121.0 -2.2 32 1,070 7.5 333

Bexar, TX..................................... 44.1 847.0 -5.1 134 1,171 10.9 255

Brazoria, TX................................. 6.4 110.6 -6.6 207 1,197 6.9 341

Brazos, TX.................................... 4.9 107.3 -3.5 65 932 9.6 304

Cameron, TX................................ 6.7 140.5 -2.3 35 760 8.3 327

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Collin, TX...................................... 29.8 439.5 -3.2 60 $1,496 12.1 189

Dallas, TX..................................... 81.7 1,704.6 -3.4 62 1,548 10.7 261

Denton, TX.................................. 17.5 267.7 -1.5 18 1,146 11.4 227

Ector, TX..................................... 4.3 66.2 -18.2 356 1,176 -7.5 357

El Paso, TX.................................. 15.9 302.3 -5.5 151 892 12.3 182

Fort Bend, TX............................... 15.8 197.2 -2.6 45 1,089 4.9 349

Galveston, TX............................... 6.5 106.2 -5.3 142 1,118 8.9 321

Gregg, TX..................................... 4.3 70.4 -8.4 279 996 2.6 354

Harris, TX..................................... 121.5 2,220.9 -6.5 205 1,501 5.0 348

Hidalgo, TX................................... 13.0 260.8 -4.0 83 776 10.2 282

Jefferson, TX................................ 5.9 112.7 -9.2 310 1,186 4.8 350

Lubbock, TX................................. 8.0 141.4 -1.9 24 980 7.2 337

McLennan, TX.............................. 5.6 114.1 -0.6 9 1,052 10.0 291

Midland, TX.................................. 6.2 90.7 -16.8 355 1,594 3.4 351

Montgomery, TX........................... 13.1 189.8 -4.7 114 1,229 7.5 333

Nueces, TX.................................. 8.4 151.4 -8.2 269 1,053 7.0 340

Potter, TX..................................... 4.0 75.8 -3.2 60 1,062 8.8 322

Smith, TX..................................... 6.5 104.3 -2.4 37 1,029 7.5 333

Tarrant, TX................................... 47.4 910.2 -3.9 78 1,262 10.8 260

Travis, TX..................................... 46.7 769.1 -3.4 62 1,632 15.2 50

Webb, TX..................................... 5.6 98.1 -6.9 221 829 10.4 272

Williamson, TX............................. 13.0 186.1 -0.9 12 1,333 2.9 352

Davis, UT..................................... 9.7 136.5 2.3 2 1,086 11.6 214

Salt Lake, UT................................ 53.6 726.7 -1.1 14 1,315 13.8 100

Utah, UT....................................... 19.6 266.1 3.8 1 1,153 16.3 34

Weber, UT.................................... 6.8 111.0 -0.5 7 967 11.4 227

Chittenden, VT............................. 7.4 95.2 -8.3 275 1,293 13.7 105

Arlington, VA................................ 9.4 171.6 -8.7 290 2,227 13.0 140

Chesterfield, VA........................... 9.6 136.4 -3.9 78 1,093 13.0 140

Fairfax, VA.................................... 37.6 599.9 -4.6 107 1,992 14.9 54

Henrico, VA.................................. 12.0 183.6 -5.6 154 1,238 12.4 176

Loudoun, VA................................ 13.3 166.8 -6.9 221 1,571 16.2 36

Prince William, VA........................ 9.8 128.3 -4.8 120 1,161 13.2 130

Alexandria City, VA...................... 6.3 84.1 -7.2 235 1,832 11.2 233

Chesapeake City, VA................... 6.4 100.9 -3.9 78 1,018 13.5 112

Newport News City, VA................ 4.1 101.4 -4.1 88 1,228 11.1 242

Norfolk City, VA........................... 6.2 133.4 -7.0 228 1,303 11.0 248

Richmond City, VA....................... 8.2 146.5 -8.1 266 1,438 13.1 138

Virginia Beach City, VA................ 12.7 169.7 -5.4 148 1,030 12.8 153

Benton, WA.................................. 6.3 86.2 -5.9 170 1,259 11.8 205

Clark, WA..................................... 16.4 156.4 -5.9 170 1,276 13.5 112

King, WA...................................... 93.0 1,340.2 -7.9 257 2,176 19.7 8

Kitsap, WA.................................... 7.2 85.7 -7.9 257 1,346 22.7 4

Pierce, WA................................... 24.4 303.8 -5.8 167 1,197 11.6 214

Snohomish, WA............................ 22.7 269.9 -8.4 279 1,380 11.5 219

Spokane, WA............................... 17.5 217.5 -6.3 191 1,115 11.2 233

Thurston, WA............................... 9.1 112.9 -5.5 151 1,194 11.1 242

Whatcom, WA.............................. 7.7 83.9 -8.7 290 1,110 12.6 170

Yakima, WA................................. 8.2 103.7 -4.6 107 924 8.7 324

Kanawha, WV............................... 5.6 90.8 -6.3 191 1,074 11.5 219

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

fourth quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-203

Ranking by

percent

change

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-203

Ranking by

percent

change

Brown, WI..................................... 7.4 152.5 -5.0 127 $1,192 12.1 189

Dane, WI...................................... 16.8 330.5 -5.7 161 1,322 12.4 176

Milwaukee, WI.............................. 28.2 455.8 -7.2 235 1,258 12.0 195

Outagamie, WI............................. 5.7 104.5 -4.9 124 1,118 9.5 307

Racine, WI................................. 4.9 71.7 -4.7 114 1,172 14.3 76

Waukesha, WI.............................. 14.1 235.4 -5.0 127 1,314 12.0 195

Winnebago, WI............................. 4.0 90.5 -3.7 71 1,163 6.6 343

San Juan, PR............................... 10.9 234.0 -6.6 (5) 749 8.6 (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 73.1 percent of the total covered workers in the U.S.
Table 2. Covered establishments, employment, and wages in the 10 largest counties,

fourth quarter 2020

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-202

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-202

United States3................................................................ 10,675.8 140,881.3 -6.1 $1,339 13.0

 Private industry........................................................... 10,373.2 119,621.8 -6.4 1,352 13.8

 Natural resources and mining.................................. 141.4 1,652.9 -8.5 1,219 0.7

 Construction............................................................. 858.4 7,232.2 -2.9 1,463 7.1

 Manufacturing.......................................................... 361.7 12,154.0 -5.0 1,552 11.4

 Trade, transportation, and utilities............................ 1,965.7 27,910.4 -2.2 1,077 11.5

 Information............................................................... 206.7 2,700.8 -6.9 2,814 21.3

 Financial activities.................................................... 960.0 8,241.1 -2.0 2,166 13.6

 Professional and business services......................... 2,024.8 20,783.9 -3.0 1,804 13.1

 Education and health services................................. 1,893.3 22,534.8 -4.3 1,181 12.4

 Leisure and hospitality............................................. 897.1 12,251.4 -24.9 567 8.4

 Other services.......................................................... 838.7 3,952.1 -12.4 911 12.7

 Government................................................................ 302.6 21,259.5 -4.3 1,268 8.7

Los Angeles, CA............................................................ 528.3 4,105.3 -10.5 1,612 12.4

 Private industry........................................................... 521.9 3,555.2 -11.2 1,608 13.1

 Natural resources and mining.................................. 0.6 6.1 7.6 1,236 6.4

 Construction............................................................. 18.0 147.1 -2.4 1,568 6.3

 Manufacturing.......................................................... 12.6 309.6 -8.9 1,702 12.6

 Trade, transportation, and utilities............................ 60.8 822.0 -5.9 1,208 12.8

 Information............................................................... 14.6 186.3 -7.2 3,633 15.8

 Financial activities.................................................... 32.1 211.2 -6.3 2,437 10.1

 Professional and business services......................... 60.8 598.1 -8.3 2,096 12.1

 Education and health services................................. 250.1 815.8 -3.6 1,120 11.8

 Leisure and hospitality............................................. 42.0 341.1 -38.5 1,413 16.4

 Other services.......................................................... 30.0 117.7 -23.4 993 17.5

 Government................................................................ 6.4 550.1 -6.1 1,637 7.9

Cook, IL......................................................................... 140.7 2,377.0 -10.1 1,571 14.6

 Private industry........................................................... 139.4 2,100.5 -10.5 1,585 14.8

 Natural resources and mining.................................. 0.1 1.6 9.5 1,372 4.2

 Construction............................................................. 11.3 68.9 -8.6 1,800 2.0

 Manufacturing.......................................................... 5.7 174.8 -5.9 1,527 6.0

 Trade, transportation, and utilities............................ 28.7 461.2 -5.5 1,171 8.5

 Information............................................................... 2.6 48.7 -8.3 2,536 19.3

 Financial activities.................................................... 14.3 202.3 -2.3 2,911 13.4

 Professional and business services......................... 29.5 454.5 -6.6 2,087 15.0

 Education and health services................................. 16.3 438.6 -4.7 1,244 12.9

 Leisure and hospitality............................................. 14.0 164.1 -43.6 610 3.2

 Other services.......................................................... 16.3 85.4 -14.0 1,154 11.1

 Government................................................................ 1.3 276.4 -6.2 1,469 13.8

New York, NY................................................................ 129.8 2,163.2 -15.6 3,036 20.9

 Private industry........................................................... 128.4 1,935.8 -16.8 3,187 23.0

 Natural resources and mining.................................. 0.0 0.2 2.4 2,796 11.9

 Construction............................................................. 2.4 37.8 -11.8 2,480 5.5

 Manufacturing.......................................................... 1.8 15.2 -30.8 2,008 19.2

 Trade, transportation, and utilities............................ 18.0 204.1 -23.1 1,857 18.7

 Information............................................................... 5.9 183.0 -7.4 3,801 15.6

 Financial activities.................................................... 19.5 376.8 -4.5 5,573 13.6

 Professional and business services......................... 29.3 537.9 -10.7 3,573 21.0

 Education and health services................................. 10.4 341.9 -7.7 1,724 11.2

 Leisure and hospitality............................................. 14.3 144.6 -54.4 1,405 19.0

 Other services.......................................................... 19.1 88.0 -19.8 1,544 15.6

 Government................................................................ 1.5 227.4 -3.8 1,766 3.0

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

fourth quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-202

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-202

Harris, TX....................................................................... 121.5 2,220.9 -6.5 $1,501 5.0

 Private industry........................................................... 120.9 1,938.2 -7.3 1,528 5.4

 Natural resources and mining.................................. 1.5 52.7 -19.7 3,777 6.5

 Construction............................................................. 8.0 149.3 -11.9 1,639 3.5

 Manufacturing.......................................................... 5.0 158.6 -11.3 1,792 4.3

 Trade, transportation, and utilities............................ 25.6 468.4 -3.4 1,293 5.3

 Information............................................................... 1.4 22.1 -16.2 1,825 14.2

 Financial activities.................................................... 13.1 127.1 -3.3 2,111 7.8

 Professional and business services......................... 24.7 396.2 -5.2 1,929 3.1

 Education and health services................................. 17.4 299.2 -2.0 1,254 8.9

 Leisure and hospitality............................................. 10.9 201.5 -16.5 556 5.3

 Other services.......................................................... 11.8 61.0 -10.5 1,002 9.0

 Government................................................................ 0.6 282.6 -1.0 1,316 3.2

Maricopa, AZ................................................................. 113.1 2,069.7 -3.0 1,273 14.8

 Private industry........................................................... 112.4 1,859.1 -2.9 1,276 15.0

 Natural resources and mining.................................. 0.5 7.5 -11.7 1,297 27.3

 Construction............................................................. 8.9 133.0 -1.1 1,458 13.6

 Manufacturing.......................................................... 3.6 131.4 -1.0 1,730 9.9

 Trade, transportation, and utilities............................ 21.9 428.4 3.0 1,115 13.7

 Information............................................................... 2.6 35.6 -10.8 1,861 22.8

 Financial activities.................................................... 15.1 196.4 0.6 1,742 17.7

 Professional and business services......................... 28.8 349.3 -3.0 1,381 12.6

 Education and health services................................. 14.2 336.2 -1.6 1,226 15.0

 Leisure and hospitality............................................. 9.4 190.3 -17.9 595 9.8

 Other services.......................................................... 7.3 50.7 -7.4 905 10.9

 Government................................................................ 0.7 210.5 -4.0 1,244 13.0

Dallas, TX...................................................................... 81.7 1,704.6 -3.4 1,548 10.7

 Private industry........................................................... 81.2 1,526.5 -3.7 1,567 11.3

 Natural resources and mining.................................. 0.5 7.7 -11.7 2,878 6.7

 Construction............................................................. 5.1 89.3 -5.0 1,591 5.8

 Manufacturing.......................................................... 2.9 116.0 -2.8 1,703 12.1

 Trade, transportation, and utilities............................ 16.3 373.3 0.9 1,305 10.8

 Information............................................................... 1.5 44.0 -6.5 2,259 13.2

 Financial activities.................................................... 10.2 161.9 0.8 2,193 11.0

 Professional and business services......................... 18.8 361.1 -2.2 1,894 8.9

 Education and health services................................. 10.2 200.6 -2.3 1,386 10.4

 Leisure and hospitality............................................. 7.4 133.6 -20.1 630 5.5

 Other services.......................................................... 7.3 37.6 -14.9 1,058 17.3

 Government................................................................ 0.5 178.2 -0.3 1,387 5.8

Orange, CA.................................................................... 133.0 1,501.1 -9.6 1,513 16.6

 Private industry........................................................... 131.6 1,361.9 -10.0 1,519 17.3

 Natural resources and mining.................................. 0.2 2.5 14.0 1,114 9.0

 Construction............................................................. 8.1 100.6 -4.8 1,759 9.8

 Manufacturing.......................................................... 5.3 146.5 -8.2 1,925 19.3

 Trade, transportation, and utilities............................ 19.0 252.1 -5.2 1,242 11.4

 Information............................................................... 1.7 23.0 -10.0 2,579 22.6

 Financial activities.................................................... 13.8 116.6 -2.6 2,626 17.1

 Professional and business services......................... 25.0 308.1 -5.8 1,758 15.3

 Education and health services................................. 40.2 223.9 -3.8 1,192 13.6

 Leisure and hospitality............................................. 10.1 148.9 -34.1 603 5.8

 Other services.......................................................... 8.1 39.6 -18.6 909 14.3

 Government................................................................ 1.4 139.2 -6.0 1,461 10.0

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

fourth quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-202

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-202

San Diego, CA............................................................... 120.1 1,369.8 -9.3 $1,564 19.2

 Private industry........................................................... 118.2 1,144.1 -9.9 1,555 21.2

 Natural resources and mining.................................. 0.7 8.8 -7.8 971 20.2

 Construction............................................................. 8.3 81.7 -2.8 1,572 10.9

 Manufacturing.......................................................... 3.6 113.2 -5.1 1,938 11.7

 Trade, transportation, and utilities............................ 15.5 218.8 -5.4 1,107 16.3

 Information............................................................... 1.5 21.2 -10.6 2,769 28.1

 Financial activities.................................................... 11.8 74.8 -3.9 2,115 20.7

 Professional and business services......................... 22.5 250.0 -2.4 2,444 23.2

 Education and health services................................. 36.3 207.9 -3.6 1,196 12.1

 Leisure and hospitality............................................. 9.3 128.7 -35.3 637 11.6

 Other services.......................................................... 8.5 39.0 -26.7 831 22.2

 Government................................................................ 1.9 225.7 -6.5 1,610 10.0

King, WA........................................................................ 93.0 1,340.2 -7.9 2,176 19.7

 Private industry........................................................... 92.4 1,176.1 -8.2 2,245 20.7

 Natural resources and mining.................................. 0.4 3.0 -1.9 1,396 5.3

 Construction............................................................. 7.1 73.7 -2.2 1,763 8.4

 Manufacturing.......................................................... 2.5 88.8 -15.6 2,002 13.7

 Trade, transportation, and utilities............................ 13.6 285.4 -0.5 2,316 20.4

 Information............................................................... 2.8 129.8 3.5 4,743 21.5

 Financial activities.................................................... 7.3 68.1 -2.5 2,463 17.3

 Professional and business services......................... 19.8 231.7 -3.2 2,440 11.7

 Education and health services................................. 21.4 174.0 -4.9 1,279 9.5

 Leisure and hospitality............................................. 7.6 80.9 -43.8 726 7.9

 Other services.......................................................... 9.8 40.7 -16.1 1,155 16.4

 Government................................................................ 0.6 164.1 -5.5 1,683 11.2

Miami-Dade, FL............................................................. 110.4 1,089.3 -8.3 1,295 14.0

 Private industry........................................................... 110.1 952.6 -9.0 1,274 13.5

 Natural resources and mining.................................. 0.5 9.1 -4.6 794 14.4

 Construction............................................................. 7.6 50.4 -0.6 1,177 6.2

 Manufacturing.......................................................... 2.9 40.2 -4.8 1,135 7.9

 Trade, transportation, and utilities............................ 25.5 274.6 -9.3 1,127 12.6

 Information............................................................... 1.8 17.3 -12.3 1,986 23.4

 Financial activities.................................................... 11.9 75.5 -2.8 1,968 8.8

 Professional and business services......................... 25.9 162.5 -3.7 1,701 10.7

 Education and health services................................. 13.7 181.9 -4.7 1,203 10.7

 Leisure and hospitality............................................. 8.1 105.8 -27.3 776 16.2

 Other services.......................................................... 8.5 34.2 -12.0 821 13.1

 Government................................................................ 0.3 136.7 -3.3 1,444 17.2

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,

fourth quarter 2020

Employment Average weekly wage 1

State

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-20

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-20

United States2.......................................... 10,675.8 140,881.3 -6.1 $1,339 13.0

Alabama................................................... 134.6 1,951.2 -2.9 1,096 11.4

Alaska...................................................... 23.1 290.1 -6.4 1,260 10.6

Arizona..................................................... 173.9 2,908.7 -3.3 1,214 14.6

Arkansas.................................................. 94.6 1,194.8 -3.2 999 11.4

California.................................................. 1,660.2 16,380.1 -8.3 1,724 18.5

Colorado.................................................. 219.6 2,613.7 -5.7 1,378 12.3

Connecticut.............................................. 126.8 1,578.4 -6.5 1,551 12.2

Delaware.................................................. 35.1 432.9 -5.2 1,262 11.3

District of Columbia.................................. 43.8 713.0 -8.9 2,293 15.2

Florida...................................................... 765.4 8,642.8 -5.0 1,180 13.1

Georgia.................................................... 319.7 4,405.9 -4.0 1,208 10.9

Hawaii...................................................... 47.3 561.1 -16.1 1,219 16.0

Idaho........................................................ 71.8 763.5 0.8 1,034 12.8

Illinois....................................................... 386.3 5,573.8 -7.8 1,378 13.0

Indiana..................................................... 173.1 2,985.1 -4.0 1,076 11.2

Iowa......................................................... 105.6 1,494.3 -4.3 1,099 11.6

Kansas..................................................... 89.9 1,346.9 -4.5 1,070 11.5

Kentucky.................................................. 130.4 1,839.6 -4.8 1,057 10.8

Louisiana................................................. 140.8 1,796.9 -7.0 1,078 8.6

Maine....................................................... 55.4 594.3 -4.3 1,092 14.5

Maryland.................................................. 174.5 2,546.1 -6.7 1,445 13.6

Massachusetts......................................... 266.7 3,365.8 -8.3 1,766 17.0

Michigan.................................................. 265.3 3,998.2 -8.9 1,257 12.8

Minnesota................................................ 186.4 2,684.1 -7.9 1,322 12.3

Mississippi............................................... 76.1 1,119.1 -2.4 901 10.4

Missouri................................................... 221.5 2,724.4 -4.3 1,127 11.6

Montana................................................... 54.6 467.4 -1.4 1,035 12.7

Nebraska................................................. 72.5 962.7 -2.9 1,079 11.5

Nevada.................................................... 90.2 1,283.1 -10.7 1,178 14.4

New Hampshire....................................... 57.1 637.3 -5.2 1,406 17.9

New Jersey.............................................. 291.0 3,860.5 -7.2 1,517 13.9

New Mexico............................................. 64.8 767.1 -9.5 1,052 11.8

New York................................................. 662.4 8,693.4 -10.3 1,712 14.2

North Carolina.......................................... 301.7 4,431.0 -2.7 1,152 11.2

North Dakota............................................ 32.6 394.4 -7.1 1,136 4.7

Ohio......................................................... 307.3 5,199.9 -5.1 1,161 12.0

Oklahoma................................................ 113.6 1,569.1 -4.4 1,013 7.3

Oregon..................................................... 167.3 1,824.3 -7.5 1,256 14.2

Pennsylvania........................................... 370.5 5,549.4 -7.4 1,287 12.6

Rhode Island............................................ 40.7 449.6 -8.3 1,259 14.7

South Carolina......................................... 149.2 2,074.4 -3.5 1,035 11.1

South Dakota........................................... 35.5 422.8 -1.9 1,048 14.4

Tennessee............................................... 176.2 3,002.5 -2.7 1,172 11.7

Texas....................................................... 743.1 12,251.1 -4.3 1,294 9.0

Utah......................................................... 117.9 1,557.8 0.6 1,154 12.9

Vermont................................................... 26.6 286.1 -8.9 1,133 14.7

Virginia..................................................... 289.8 3,796.1 -4.7 1,360 13.0

Washington.............................................. 259.7 3,219.7 -6.8 1,589 16.0

West Virginia........................................... 51.9 654.1 -5.3 997 10.3

Wisconsin................................................ 184.2 2,762.5 -4.8 1,140 11.7

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

fourth quarter 2020 - Continued

Employment Average weekly wage 1

State

Establishments,

fourth quarter

2020

(thousands)

December

2020

(thousands)

Percent

change,

December

2019-20

Fourth

quarter

2020

Percent

change,

fourth quarter

2019-20

Wyoming.................................................. 27.7 260.2 -5.3 $1,061 4.6

Puerto Rico.............................................. 46.0 873.8 -4.0 621 8.0

Virgin Islands........................................... 3.5 35.3 -11.5 1,057 -1.3

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.