For release 10:00 a.m. (ET), Wednesday, November 18, 2020 USDL-20-2131

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

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

COUNTY EMPLOYMENT AND WAGES – SECOND QUARTER 2020

From June 2019 to June 2020, employment decreased in all of the 357 largest U.S. counties, the U.S. 

Bureau of Labor Statistics reported today. In June 2020, national employment (as measured by the 

QCEW program) decreased to 135.1 million, a 9.4-percent decrease over the year. Atlantic, NJ, had the 

largest over-the-year decrease in employment with a loss of 34.2 percent. Employment data in this 

release are presented for June 2020, and average weekly wage data are presented for second quarter 

2020. Employment in most of the country was impacted by the COVID-19 pandemic and efforts to 

contain it.

Among the 357 largest counties, 352 had over-the-year increases in average weekly wages. In the 

second quarter of 2020, average weekly wages for the nation increased to $1,188, an 8.6-percent 

increase over the year. Atlantic, NJ, had the largest second quarter over-the-year wage gain at 22.5

percent. (See table 1.) The increases in average weekly wages largely reflect substantial employment

loss among lower-paid industries.

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

-35% -33% -31% -29% -27% -25% -23% -21% -19% -17% -15% -13% -11% -9% -7% -5% -3% -1%

Cleveland, OK

Utah, UT

Davis, UT

Benton, AR

Polk, FL

Clark, NV

New London, CT

Ector, TX

Orange, FL

Orleans, LA

Clayton, GA

Midland, TX

Barnstable, MA

Maui + Kalawao, HI

Atlantic, NJ
- 2 -

Large County Employment in June 2020

Atlantic, NJ, had the largest over-the-year percentage decrease in employment (-34.2 percent). Within

Atlantic, the largest employment decrease occurred in leisure and hospitality, which lost 33,336 jobs 

over the year (-75.2 percent).

Cleveland, OK, and Utah, UT, both experienced the smallest over-the-year percentage decrease in 

employment, each with a loss of 0.2 percent. Within Cleveland, leisure and hospitality had the largest 

employment decrease with a loss of 1,838 jobs (-13.7 percent). Within Utah, leisure and hospitality had 

the largest employment decrease with a loss of 2,297 jobs (-9.9 percent).

Large County Average Weekly Wage in Second Quarter 2020

Atlantic, NJ, had the largest over-the-year percentage increase in average weekly wages (+22.5 percent). 

Within Atlantic, an average weekly wage gain of $143 (+24.2 percent) in leisure and hospitality 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 6.6

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

wage decrease of $84 (-4.7 percent) over the year.

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

gains and losses

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

Ector, TX

Midland, TX

Rutherford, TN

Winnebago, WI

Elkhart, IN

Monmouth, NJ

Kent, RI

Marin, CA

Barnstable, MA

Santa Clara, CA

New London, CT

San Mateo, CA

Orleans, LA

Westchester, NY

Atlantic, NJ
- 3 -

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage decreases in employment. In June 2020, New 

York, NY, had the largest over-the-year employment percentage loss (-18.8 percent). Within New York, 

leisure and hospitality had the largest employment decrease with a loss of 208,495 jobs (-66.1 percent). 

(See table 2.)

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

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

weekly wages (+14.9 percent). Within New York, leisure and hospitality had the largest impact, with an 

average weekly wage increase of $149 (+15.5 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. June 2020 employment and second 

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

The most current news release on quarterly measures of gross job flows is available from QCEW 

Business Employment Dynamics at www.bls.gov/news.release/pdf/cewbd.pdf.

Several BLS regional offices issue QCEW news releases targeted to local data users. Links to these 

releases are available at www.bls.gov/cew/regional-resources.htm.

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

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

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

____________

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

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

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

released on Wednesday, February 24, 2021, at 10:00 a.m. (ET). 
- 4 -

Special Notice: Imputation Methodology Improvements

QCEW implemented improvements to imputation methodology, effective with second quarter 

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

for the first two quarters of non-response. After two quarters of non-response, establishments 

are converted from non-respondents to establishment deaths. Usually, non-respondents 

account for less than 5 percent of QCEW employment. BLS expected substantially higher 

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

coronavirus (COVID-19) pandemic and efforts to contain it. The national employment 

response rate for second quarter declined by 0.4 percent. Changes to state response rates 

varied. For more information on QCEW response rates, see www.bls.gov/cew/responserates/home.htm.

QCEW implemented three improvements to imputation methodology. First, BLS summarized

counts of the regular state unemployment insurance claims by employer to identify employers 

who may have ceased operations, either temporarily or permanently. These employers were 

treated as business deaths rather than being treated as late respondents. Second, for employers 

that are expected to still be in operation during the reference time period, BLS modified the 

imputation formula to use reported data for similar employers to create imputed levels of 

employment and wages. Third, state QCEW staff used unemployment insurance claims 

information as a supplement to aid their review of imputed and reported QCEW data.

BLS applied these changes to data for non-respondent employers in the first and second

quarters of 2020. The impact on first quarter 2020 was negligible. The impact on second 

quarter 2020 employment was a decline of 0.2 percent, or a decline of about 270,000 from 

what would have been reported for June 2020 employment. Total wages decreased by 0.1 

percent. For more information on QCEW imputation methodology and the impact of the 

improved methods, see www.bls.gov/cew/additional-resources/imputation-methodology.htm.

Coronavirus (COVID-19) Pandemic Impact on Second Quarter 2020 QCEW Data

Response rate tables for the second quarter of 2020 are available at 

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

see www.bls.gov/covid19/effects-of-covid-19-pandemic-on-county-employment-and-wagesdata.htm.
Technical Note

Special technical note: This technical note describes the procedures 

regularly used for the Quarterly Census of Employment and Wages 

(QCEW) program. Due to COVID-19, some of the procedures described in this technical note have been modified. The modifications 

are briefly described in the box notes in this news release and are described in more detail at www.bls.gov/covid19/effects-of-covid-19-

pandemic-on-county-employment-and-wages-data.htm and also at 

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

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.

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,

second quarter 2020

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

United States4.............................. 10,451.0 135,114.4 -9.4 - $1,188 8.6 -

Baldwin, AL.................................. 6.6 74.1 -6.7 88 782 8.6 156

Jefferson, AL................................ 19.3 328.8 -7.7 130 1,115 5.0 317

Madison, AL................................. 10.1 198.4 -3.8 19 1,255 8.8 144

Mobile, AL.................................... 10.4 160.2 -6.7 88 961 6.3 275

Montgomery, AL........................... 6.4 121.7 -7.9 136 936 5.9 289

Shelby, AL.................................... 5.9 80.0 -6.3 75 1,056 4.7 323

Tuscaloosa, AL............................. 4.6 86.9 -10.3 219 908 3.2 340

Anchorage, AK............................. 8.3 133.9 -10.5 226 1,262 11.1 76

Maricopa, AZ................................ 110.7 1,924.6 -4.6 30 1,137 7.7 209

Pima, AZ....................................... 19.5 350.5 -6.4 77 990 8.0 193

Benton, AR................................... 7.0 121.7 -1.4 4 1,327 11.1 76

Pulaski, AR................................... 14.5 233.6 -7.8 132 1,014 7.0 246

Washington, AR........................... 6.4 103.7 -6.2 71 968 6.7 260

Alameda, CA................................ 66.7 707.9 -10.9 241 1,648 10.2 98

Butte, CA..................................... 8.4 74.1 -8.4 152 916 8.8 144

Contra Costa, CA......................... 34.6 329.4 -12.1 269 1,486 10.7 86

Fresno, CA................................... 38.5 382.4 -6.2 71 932 6.5 266

Kern, CA....................................... 21.9 306.9 -9.2 181 991 8.9 140

Los Angeles, CA........................... 518.8 3,945.3 -12.2 272 1,333 8.9 140

Marin, CA..................................... 12.7 100.6 -13.7 311 1,617 15.6 8

Merced, CA................................. 7.0 77.8 -6.6 86 891 7.0 246

Monterey, CA............................... 14.4 195.2 -8.8 167 983 6.3 275

Napa, CA..................................... 6.0 70.2 -14.6 320 1,186 9.2 130

Orange, CA.................................. 130.0 1,442.0 -12.7 285 1,334 11.4 64

Placer, CA.................................... 14.2 157.5 -9.4 189 1,221 13.3 22

Riverside, CA............................... 71.4 703.6 -8.1 143 957 8.4 167

Sacramento, CA........................... 63.3 634.6 -7.4 117 1,326 11.0 83

San Bernardino, CA..................... 65.1 735.2 -5.3 46 993 7.5 219

San Diego, CA.............................. 118.2 1,325.1 -11.2 248 1,315 10.6 88

San Francisco, CA....................... 61.9 663.4 -12.8 288 2,643 8.6 156

San Joaquin, CA.......................... 19.0 248.0 -5.1 38 1,008 7.8 204

San Luis Obispo, CA.................... 10.8 106.3 -12.8 288 1,034 8.3 177

San Mateo, CA............................. 29.3 372.7 -10.6 231 2,812 18.1 4

Santa Barbara, CA....................... 16.0 199.7 -5.1 38 1,138 8.5 159

Santa Clara, CA........................... 76.1 1,022.0 -9.1 179 3,045 16.5 6

Santa Cruz, CA............................ 9.8 97.5 -12.7 285 1,136 12.9 23

Solano, CA................................... 12.0 129.7 -10.0 211 1,250 7.8 204

Sonoma, CA................................. 20.4 187.0 -12.0 265 1,177 10.0 102

Stanislaus, CA.............................. 16.6 181.0 -7.5 121 1,013 9.2 130

Tulare, CA.................................... 11.8 161.2 -5.0 36 850 8.7 151

Ventura, CA.................................. 28.3 306.5 -8.5 157 1,194 11.9 46

Yolo, CA....................................... 7.3 102.6 -6.9 95 1,233 8.3 177

Adams, CO................................... 12.1 217.2 -4.4 27 1,130 6.6 264

Arapahoe, CO.............................. 23.4 315.3 -6.5 81 1,349 8.3 177

Boulder, CO.................................. 16.4 174.2 -8.2 146 1,428 9.5 116

Denver, CO.................................. 35.9 475.2 -11.3 251 1,485 10.6 88

Douglas, CO................................. 13.2 126.6 -5.2 42 1,324 7.5 219

El Paso, CO.................................. 21.4 269.3 -6.2 71 1,061 8.5 159

Jefferson, CO............................... 21.6 229.2 -7.4 117 1,240 10.4 94

Larimer, CO.................................. 13.2 155.9 -7.3 115 1,090 11.6 57

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Weld, CO...................................... 8.2 104.7 -9.3 183 $1,025 2.4 348

Fairfield, CT................................. 36.8 366.1 -13.7 311 1,751 11.7 52

Hartford, CT.................................. 29.3 459.0 -11.4 254 1,383 9.8 106

New Haven, CT............................ 25.2 333.0 -10.1 214 1,227 11.5 59

New London, CT.......................... 7.8 101.4 -18.9 348 1,236 17.3 5

New Castle, DE............................ 21.3 266.4 -9.3 183 1,279 8.1 188

Sussex, DE.................................. 7.6 79.9 -10.5 226 872 12.4 36

Washington, DC........................... 41.6 701.7 -10.0 211 1,987 11.7 52

Alachua, FL.................................. 7.6 124.2 -5.5 50 979 5.6 299

Brevard, FL................................... 16.7 212.7 -3.2 13 1,063 6.6 264

Broward, FL.................................. 73.4 738.6 -9.0 176 1,084 6.8 258

Collier, FL..................................... 15.5 134.7 -5.5 50 1,018 7.3 229

Duval, FL..................................... 31.3 497.0 -4.7 34 1,074 6.9 250

Escambia, FL............................... 8.6 133.6 -2.8 11 893 6.1 279

Hillsborough, FL........................... 46.7 663.9 -4.6 30 1,107 6.4 269

Lake, FL....................................... 9.0 95.0 -3.6 17 793 5.7 294

Lee, FL......................................... 24.0 245.8 -5.6 52 946 6.4 269

Leon, FL....................................... 9.1 141.1 -6.0 64 927 7.2 234

Manatee, FL................................. 11.9 119.1 -5.2 42 876 4.7 323

Marion, FL.................................... 8.9 104.5 -2.2 6 795 5.4 309

Miami-Dade, FL............................ 105.6 1,036.8 -9.3 183 1,109 5.5 302

Okaloosa, FL................................ 6.8 82.1 -4.3 24 1,015 8.8 144

Orange, FL................................... 46.6 688.2 -19.9 351 1,051 10.3 96

Osceola, FL.................................. 8.0 82.9 -14.4 316 797 5.7 294

Palm Beach, FL............................ 60.1 561.6 -7.5 121 1,138 7.6 215

Pasco, FL..................................... 11.8 113.2 -2.5 8 834 6.0 285

Pinellas, FL................................... 35.1 414.7 -5.7 54 1,001 5.6 299

Polk, FL........................................ 14.6 220.8 -1.4 4 869 3.0 344

St. Johns, FL............................... 8.2 74.8 -3.4 15 911 8.1 188

St. Lucie, FL............................... 7.2 73.5 -3.3 14 875 3.2 340

Sarasota, FL................................ 17.0 159.4 -5.2 42 941 5.5 302

Seminole, FL................................ 16.1 186.9 -6.2 71 1,033 8.7 151

Volusia, FL................................... 15.3 160.4 -7.0 103 855 8.4 167

Bibb, GA....................................... 4.5 77.7 -5.8 56 872 5.2 315

Chatham, GA................................ 8.7 146.7 -9.5 190 952 6.1 279

Clayton, GA.................................. 4.3 97.3 -20.5 353 1,089 2.6 345

Cobb, GA...................................... 23.3 341.4 -8.8 167 1,179 4.9 321

DeKalb, GA................................. 19.0 280.8 -7.2 111 1,175 7.2 234

Forsyth, GA.................................. 6.3 74.3 -4.6 30 1,015 6.4 269

Fulton, GA.................................... 46.9 809.3 -10.3 219 1,514 7.9 200

Gwinnett, GA................................ 27.1 337.9 -6.7 88 1,056 3.6 334

Hall, GA....................................... 4.8 86.3 -3.7 18 964 3.5 337

Muscogee, GA.............................. 4.7 88.8 -6.0 64 884 7.8 204

Richmond, GA.............................. 4.7 97.5 -6.0 64 959 8.0 193

Honolulu, HI.................................. 27.7 385.0 -17.7 343 1,158 11.9 46

Maui + Kalawao, HI...................... 6.8 54.6 -32.6 356 981 10.6 88

Ada, ID......................................... 17.6 248.5 -2.6 10 1,017 7.1 241

Champaign, IL.............................. 4.1 85.3 -7.2 111 1,042 10.7 86

Cook, IL........................................ 138.4 2,297.3 -13.1 299 1,372 9.6 114

DuPage, IL................................. 34.5 554.0 -12.4 277 1,290 7.4 226

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Kane, IL........................................ 12.6 189.3 -13.1 299 $1,031 8.5 159

Lake, IL........................................ 20.1 310.7 -11.7 260 1,500 9.7 109

McHenry, IL.................................. 7.8 89.4 -10.7 235 933 7.9 200

McLean, IL.................................... 3.3 74.4 -9.5 190 1,075 12.8 24

Madison, IL................................... 5.3 96.3 -6.9 95 885 6.2 277

Peoria, IL...................................... 4.1 94.5 -10.8 237 1,143 7.4 226

St. Clair, IL.................................... 5.0 81.9 -11.6 259 942 11.3 68

Sangamon, IL............................... 4.8 118.9 -9.2 181 1,110 6.8 258

Will, IL.......................................... 15.1 231.8 -9.0 176 995 7.2 234

Winnebago, IL.............................. 5.9 112.0 -12.4 277 955 8.2 182

Allen, IN........................................ 9.2 177.9 -7.8 132 943 6.9 250

Elkhart, IN..................................... 4.8 124.0 -8.6 162 908 -1.5 353

Hamilton, IN.................................. 10.0 137.5 -6.9 95 1,099 9.1 133

Lake, IN........................................ 10.6 171.3 -9.9 202 944 4.2 327

Marion, IN..................................... 24.9 552.4 -8.7 166 1,170 8.4 167

St. Joseph, IN............................... 5.9 113.3 -9.8 200 941 7.3 229

Tippecanoe, IN............................. 3.8 79.1 -7.1 106 971 3.6 334

Vanderburgh, IN........................... 4.8 98.8 -9.9 202 902 3.2 340

Johnson, IA.................................. 4.4 77.2 -7.5 121 1,094 10.2 98

Linn, IA......................................... 7.1 122.3 -8.0 138 1,096 7.6 215

Polk, IA........................................ 18.3 282.3 -8.5 157 1,176 10.8 84

Scott, IA........................................ 5.8 84.0 -9.9 202 934 7.7 209

Johnson, KS................................. 24.5 333.2 -6.4 77 1,207 9.1 133

Sedgwick, KS............................... 12.9 229.2 -11.3 251 945 4.7 323

Shawnee, KS................................ 5.1 90.6 -5.9 61 917 5.3 312

Wyandotte, KS............................. 3.6 86.3 -4.4 27 1,098 4.2 327

Boone, KY................................... 4.6 89.9 -5.9 61 969 3.1 343

Fayette, KY................................... 11.6 179.4 -8.4 152 1,055 9.4 123

Jefferson, KY................................ 26.3 427.8 -9.6 194 1,154 8.4 167

Caddo, LA.................................... 7.4 100.5 -9.3 183 916 6.9 250

Calcasieu, LA............................... 5.5 85.1 -17.1 340 984 2.4 348

East Baton Rouge, LA.................. 16.8 233.1 -10.9 241 1,076 5.5 302

Jefferson, LA................................ 14.5 168.8 -11.4 254 1,056 8.8 144

Lafayette, LA................................ 10.3 118.5 -9.7 198 945 5.0 317

Orleans, LA.................................. 14.0 158.8 -20.3 352 1,165 18.2 3

St. Tammany, LA.......................... 9.0 83.1 -8.4 152 973 9.3 126

Cumberland, ME.......................... 13.9 167.2 -12.9 294 1,124 14.5 14

Anne Arundel, MD........................ 15.5 246.2 -12.2 272 1,309 12.5 33

Baltimore, MD............................... 21.2 340.4 -11.5 256 1,194 10.6 88

Frederick, MD............................... 6.6 94.0 -12.6 283 1,108 11.9 46

Harford, MD.................................. 5.9 87.1 -9.9 202 1,161 11.5 59

Howard, MD................................. 10.2 154.6 -12.8 288 1,490 12.5 33

Montgomery, MD.......................... 33.0 420.8 -12.3 274 1,590 11.7 52

Prince George's, MD.................... 16.4 280.6 -14.2 315 1,275 12.3 39

Baltimore City, MD....................... 13.8 319.3 -7.6 126 1,329 3.7 333

Barnstable, MA............................. 9.7 85.7 -21.1 355 1,076 16.1 7

Bristol, MA.................................... 17.8 200.3 -14.4 316 1,124 11.1 76

Essex, MA.................................... 27.6 283.5 -15.3 330 1,311 13.7 19

Hampden, MA.............................. 18.8 182.9 -14.5 318 1,037 11.1 76

Middlesex, MA.............................. 57.0 835.4 -12.3 274 1,880 14.0 16

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Norfolk, MA................................... 25.6 299.2 -17.3 342 $1,425 12.7 29

Plymouth, MA............................... 16.5 167.7 -17.9 344 1,180 14.0 16

Suffolk, MA................................... 32.1 611.3 -13.6 309 2,053 13.4 21

Worcester, MA.............................. 26.5 312.7 -12.5 282 1,199 12.8 24

Genesee, MI................................. 7.3 119.0 -12.3 274 925 7.2 234

Ingham, MI................................... 6.6 136.6 -11.0 244 1,140 9.5 116

Kalamazoo, MI............................. 5.8 109.6 -11.7 260 1,071 9.1 133

Kent, MI....................................... 16.3 351.7 -15.4 333 1,059 13.5 20

Macomb, MI.................................. 19.2 291.2 -13.5 304 1,114 6.0 285

Oakland, MI.................................. 43.2 648.3 -14.8 325 1,278 8.4 167

Ottawa, MI.................................... 6.3 117.6 -10.0 211 957 6.0 285

Saginaw, MI.................................. 4.1 73.7 -13.8 313 947 9.0 137

Washtenaw, MI............................. 9.3 189.6 -12.0 265 1,260 9.2 130

Wayne, MI.................................... 36.1 639.8 -13.5 304 1,282 11.8 49

Anoka, MN.................................... 8.0 119.2 -9.1 179 1,110 7.1 241

Dakota, MN.................................. 11.0 174.9 -10.3 219 1,167 9.5 116

Hennepin, MN.............................. 42.0 830.7 -12.4 277 1,470 9.1 133

Olmsted, MN................................ 3.9 91.4 -9.9 202 1,332 14.6 12

Ramsey, MN................................. 14.5 299.9 -11.2 248 1,288 8.5 159

St. Louis, MN................................ 5.5 87.3 -13.5 304 991 8.3 177

Stearns, MN................................. 4.5 80.0 -8.5 157 966 8.4 167

Washington, MN........................... 6.3 82.0 -9.8 200 1,016 9.0 137

Harrison, MS................................ 4.6 78.9 -10.1 214 818 9.5 116

Hinds, MS..................................... 5.6 111.6 -6.6 86 925 6.1 279

Boone, MO................................... 5.0 87.8 -6.9 95 990 12.4 36

Clay, MO...................................... 6.0 99.8 -6.7 88 960 1.8 350

Greene, MO.................................. 9.6 160.4 -5.8 56 906 8.1 188

Jackson, MO................................ 23.2 347.8 -8.3 148 1,154 5.3 312

St. Charles, MO............................ 10.1 145.1 -5.4 48 954 7.7 209

St. Louis, MO................................ 41.6 551.3 -9.7 198 1,221 7.3 229

St. Louis City, MO........................ 15.7 201.8 -11.9 264 1,243 7.9 200

Yellowstone, MT........................... 6.6 80.1 -3.4 15 978 6.5 266

Douglas, NE................................. 19.2 319.1 -7.0 103 1,083 8.2 182

Lancaster, NE............................... 10.2 161.3 -6.4 77 943 9.3 126

Clark, NV..................................... 57.1 830.0 -18.9 348 1,026 8.8 144

Washoe, NV................................. 15.2 207.3 -8.8 167 1,065 8.7 151

Hillsborough, NH.......................... 12.4 186.6 -10.5 226 1,306 11.3 68

Merrimack, NH............................. 5.2 71.1 -9.5 190 1,091 9.4 123

Rockingham, NH.......................... 11.3 137.7 -11.0 244 1,205 11.8 49

Atlantic, NJ................................... 6.7 90.8 -34.2 357 1,104 22.5 1

Bergen, NJ................................... 33.7 372.5 -17.0 338 1,364 10.6 88

Burlington, NJ............................... 11.3 180.8 -12.7 285 1,202 8.8 144

Camden, NJ................................. 12.5 178.5 -13.5 304 1,172 11.7 52

Essex, NJ.................................... 21.2 295.6 -15.3 330 1,447 11.2 73

Gloucester, NJ.............................. 6.6 101.9 -11.3 251 996 9.5 116

Hudson, NJ................................... 16.1 234.0 -15.0 326 1,550 7.8 204

Mercer, NJ.................................... 11.4 238.2 -9.6 194 1,508 11.4 64

Middlesex, NJ.............................. 22.9 380.2 -12.0 265 1,364 10.5 93

Monmouth, NJ.............................. 20.6 226.8 -18.1 345 1,197 15.0 10

Morris, NJ..................................... 17.3 258.7 -13.6 309 1,667 8.2 182

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Ocean, NJ.................................... 13.9 151.4 -16.9 337 $955 12.8 24

Passaic, NJ.................................. 12.9 142.9 -15.1 329 1,140 11.1 76

Somerset, NJ............................... 10.4 169.0 -13.0 296 1,780 9.7 109

Union, NJ..................................... 15.0 200.4 -13.5 304 1,465 12.0 43

Bernalillo, NM............................... 20.1 304.3 -8.8 167 1,009 9.7 109

Albany, NY................................... 10.4 211.1 -10.3 219 1,277 8.3 177

Bronx, NY..................................... 19.2 288.0 -11.5 256 1,204 8.0 193

Broome, NY.................................. 4.4 75.6 -13.2 301 1,010 12.8 24

Dutchess, NY............................... 8.5 98.1 -15.0 326 1,199 11.3 68

Erie, NY........................................ 24.5 407.8 -14.7 322 1,106 12.1 41

Kings, NY..................................... 66.6 688.2 -14.6 320 1,058 10.3 96

Monroe, NY.................................. 18.9 344.3 -13.4 302 1,126 11.6 57

Nassau, NY.................................. 54.5 533.1 -17.0 338 1,388 14.2 15

New York, NY............................... 131.1 2,048.7 -18.8 347 2,427 14.9 11

Oneida, NY................................... 5.3 94.4 -12.4 277 947 8.9 140

Onondaga, NY.............................. 12.7 221.5 -13.0 296 1,095 9.5 116

Orange, NY.................................. 10.8 129.5 -15.0 326 1,085 12.6 30

Queens, NY.................................. 54.1 592.5 -18.2 346 1,174 7.8 204

Richmond, NY.............................. 10.1 110.1 -15.7 334 1,158 12.0 43

Rockland, NY............................... 11.3 112.2 -15.3 330 1,154 11.1 76

Saratoga, NY................................ 6.1 78.0 -16.2 335 1,170 12.6 30

Suffolk, NY................................... 53.8 579.5 -16.5 336 1,296 12.0 43

Westchester, NY.......................... 36.4 367.7 -17.1 340 1,721 21.7 2

Buncombe, NC............................. 10.3 114.7 -14.7 322 916 8.5 159

Cabarrus, NC............................... 5.2 72.2 -6.5 81 862 6.9 250

Catawba, NC................................ 4.6 81.7 -7.6 126 851 2.5 346

Cumberland, NC........................... 6.5 112.1 -7.5 121 887 3.9 331

Durham, NC................................. 9.1 205.9 -5.4 48 1,478 8.4 167

Forsyth, NC.................................. 9.7 174.6 -8.6 162 1,021 6.9 250

Guilford, NC.................................. 15.1 260.1 -8.5 157 986 3.8 332

Iredell, NC.................................. 5.8 73.2 -4.3 24 983 5.4 309

Mecklenburg, NC.......................... 41.5 671.3 -6.3 75 1,331 8.4 167

New Hanover, NC........................ 9.0 110.0 -7.5 121 961 9.7 109

Pitt, NC....................................... 3.9 71.8 -7.1 106 913 5.7 294

Wake, NC..................................... 38.6 534.4 -7.2 111 1,207 7.3 229

Cass, ND...................................... 7.6 113.2 -6.8 93 1,070 7.5 219

Butler, OH..................................... 8.0 146.3 -7.8 132 1,024 8.2 182

Cuyahoga, OH.............................. 36.2 668.0 -9.6 194 1,168 8.2 182

Delaware, OH............................... 5.8 83.7 -10.1 214 1,142 11.4 64

Franklin, OH................................. 34.2 711.2 -6.9 95 1,142 7.6 215

Greene, OH.................................. 3.7 72.9 -4.7 34 1,224 9.9 103

Hamilton, OH................................ 24.5 476.4 -9.6 194 1,234 6.5 266

Lake, OH...................................... 6.3 90.1 -8.8 167 956 7.2 234

Lorain, OH.................................... 6.3 91.9 -8.4 152 879 6.2 277

Lucas, OH.................................... 10.1 188.6 -10.9 241 959 5.5 302

Mahoning, OH.............................. 5.9 88.8 -9.9 202 821 8.7 151

Montgomery, OH.......................... 12.2 236.6 -7.7 130 968 4.8 322

Stark, OH..................................... 8.6 147.6 -8.3 148 836 4.1 330

Summit, OH................................. 14.5 246.7 -8.3 148 1,010 6.4 269

Warren, OH................................. 5.3 92.0 -8.0 138 1,075 8.1 188

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Cleveland, OK.............................. 6.1 80.9 -0.2 1 $865 7.5 219

Oklahoma, OK.............................. 28.6 438.2 -6.0 64 1,059 6.1 279

Tulsa, OK..................................... 22.8 338.1 -6.9 95 1,017 5.5 302

Clackamas, OR............................ 15.7 155.0 -9.9 202 1,130 9.3 126

Deschutes, OR............................. 9.5 79.4 -9.3 183 1,015 12.8 24

Jackson, OR................................ 8.0 84.6 -7.1 106 922 8.9 140

Lane, OR...................................... 12.9 142.5 -10.6 231 938 9.8 106

Marion, OR................................... 11.6 150.2 -7.4 117 1,015 9.3 126

Multnomah, OR............................ 36.6 455.2 -12.8 288 1,293 11.2 73

Washington, OR........................... 20.5 278.7 -8.6 162 1,516 11.3 68

Allegheny, PA............................... 35.7 633.3 -10.6 231 1,267 8.5 159

Berks, PA..................................... 8.9 156.1 -11.5 256 1,042 7.1 241

Bucks, PA..................................... 20.4 232.8 -14.5 318 1,115 11.5 59

Butler, PA..................................... 5.1 81.9 -8.3 148 1,076 8.2 182

Chester, PA.................................. 15.9 227.8 -10.8 237 1,543 11.1 76

Cumberland, PA........................... 6.6 126.2 -7.9 136 1,088 8.0 193

Dauphin, PA................................ 7.5 167.5 -12.0 265 1,170 9.8 106

Delaware, PA............................... 14.2 196.8 -13.4 302 1,251 11.3 68

Erie, PA........................................ 6.9 108.5 -13.0 296 916 11.4 64

Lackawanna, PA.......................... 5.6 86.5 -11.8 262 922 11.5 59

Lancaster, PA............................... 13.8 221.7 -10.7 235 979 8.1 188

Lehigh, PA.................................... 8.8 175.0 -11.2 248 1,133 9.4 123

Luzerne, PA.................................. 7.4 131.4 -10.5 226 930 9.0 137

Montgomery, PA........................... 28.0 450.2 -12.4 277 1,446 11.5 59

Northampton, PA.......................... 6.9 104.7 -12.6 283 1,003 8.0 193

Philadelphia, PA........................... 35.1 610.8 -12.9 294 1,380 9.9 103

Washington, PA............................ 5.5 78.3 -13.9 314 1,107 5.3 312

Westmoreland, PA....................... 9.2 121.7 -10.4 224 932 7.1 241

York, PA....................................... 9.2 164.0 -9.3 183 1,026 7.7 209

Kent, RI....................................... 5.6 66.8 -14.7 322 1,070 15.3 9

Providence, RI.............................. 19.1 253.2 -12.8 288 1,198 12.1 41

Charleston, SC............................. 17.6 236.1 -10.3 219 1,064 9.7 109

Greenville, SC.............................. 15.9 256.8 -7.8 132 997 6.7 260

Horry, SC..................................... 10.0 124.9 -12.1 269 723 11.2 73

Lexington, SC............................... 7.3 118.3 -2.5 8 865 5.5 302

Richland, SC................................ 11.0 206.0 -7.1 106 970 8.6 156

Spartanburg, SC........................... 6.8 141.7 -5.2 42 920 0.3 351

York, SC....................................... 6.8 94.9 -6.1 69 960 9.5 116

Minnehaha, SD............................. 7.8 123.6 -5.0 36 1,013 8.5 159

Davidson, TN................................ 25.4 460.4 -10.6 231 1,215 8.4 167

Hamilton, TN................................ 10.6 194.7 -6.1 69 990 4.2 327

Knox, TN...................................... 13.3 226.7 -5.3 46 983 6.4 269

Rutherford, TN.............................. 6.3 123.7 -6.9 95 934 -2.7 355

Shelby, TN.................................... 21.5 465.2 -7.6 126 1,156 5.8 290

Williamson, TN............................. 10.0 130.9 -6.5 81 1,354 6.9 250

Bell, TX......................................... 5.9 116.7 -3.9 20 982 5.4 309

Bexar, TX..................................... 43.7 815.1 -7.1 106 1,047 5.8 290

Brazoria, TX................................. 6.3 110.1 -5.9 61 1,134 3.4 338

Brazos, TX.................................... 4.8 98.0 -5.6 52 881 9.9 103

Cameron, TX................................ 6.6 136.6 -4.1 21 698 6.1 279

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Collin, TX...................................... 28.7 415.5 -5.8 56 $1,350 7.5 219

Dallas, TX..................................... 80.2 1,623.5 -5.8 56 1,361 4.5 326

Denton, TX.................................. 16.9 249.5 -5.1 38 1,031 7.1 241

Ector, TX..................................... 4.2 65.9 -19.3 350 1,142 -6.6 357

El Paso, TX.................................. 15.7 292.3 -5.7 54 810 7.4 226

Fort Bend, TX............................... 15.1 186.1 -5.8 56 1,026 5.0 317

Galveston, TX............................... 6.4 106.0 -6.0 64 1,029 5.6 299

Gregg, TX..................................... 4.3 68.2 -10.8 237 919 0.2 352

Harris, TX..................................... 119.2 2,179.4 -7.3 115 1,352 3.4 338

Hidalgo, TX................................... 12.8 253.0 -4.3 24 704 7.0 246

Jefferson, TX................................ 5.8 110.1 -10.2 217 1,101 5.7 294

Lubbock, TX................................. 7.9 134.9 -4.6 30 918 7.9 200

McLennan, TX.............................. 5.5 111.1 -2.3 7 943 7.0 246

Midland, TX.................................. 6.2 87.8 -21.0 354 1,404 -4.6 356

Montgomery, TX........................... 12.7 181.7 -6.7 88 1,145 5.0 317

Nueces, TX.................................. 8.3 151.4 -8.5 157 948 2.5 346

Potter, TX..................................... 4.0 73.7 -4.5 29 954 6.7 260

Smith, TX..................................... 6.5 100.8 -4.1 21 928 5.7 294

Tarrant, TX................................... 46.4 867.9 -6.5 81 1,129 5.1 316

Travis, TX..................................... 44.9 733.1 -6.4 77 1,417 9.6 114

Webb, TX..................................... 5.6 95.0 -8.8 167 753 7.7 209

Williamson, TX............................. 12.4 175.1 -5.1 38 1,193 11.8 49

Davis, UT..................................... 9.3 132.2 -0.9 3 986 10.8 84

Salt Lake, UT................................ 50.3 691.0 -4.2 23 1,146 8.8 144

Utah, UT....................................... 18.5 248.5 -0.2 1 984 10.2 98

Weber, UT.................................... 6.5 106.1 -2.9 12 875 7.6 215

Chittenden, VT............................. 7.2 91.0 -12.8 288 1,192 14.6 12

Arlington, VA................................ 9.1 170.3 -8.9 173 1,926 12.2 40

Chesterfield, VA........................... 9.4 128.8 -6.9 95 966 6.7 260

Fairfax, VA.................................... 36.9 576.7 -8.1 143 1,776 8.0 193

Henrico, VA.................................. 11.8 173.9 -10.8 237 1,112 8.5 159

Loudoun, VA................................ 13.0 158.4 -12.1 269 1,362 12.6 30

Prince William, VA........................ 9.7 122.2 -11.0 244 1,048 11.7 52

Alexandria City, VA...................... 6.2 81.1 -11.8 262 1,610 10.1 101

Chesapeake City, VA................... 6.3 96.9 -7.0 103 904 7.2 234

Newport News City, VA................ 4.0 97.0 -7.2 111 1,090 5.8 290

Norfolk City, VA........................... 6.1 128.9 -9.9 202 1,188 8.4 167

Richmond City, VA....................... 8.0 140.6 -10.5 226 1,308 12.5 33

Virginia Beach City, VA................ 12.4 164.5 -10.4 224 924 10.4 94

Benton, WA.................................. 6.1 87.4 -9.9 202 1,147 5.8 290

Clark, WA..................................... 15.7 152.4 -8.4 152 1,122 7.3 229

King, WA...................................... 90.3 1,312.9 -8.9 173 1,945 13.9 18

Kitsap, WA.................................... 7.0 86.2 -6.8 93 1,137 7.7 209

Pierce, WA................................... 23.7 292.9 -8.1 143 1,090 6.0 285

Snohomish, WA............................ 22.1 268.5 -8.9 173 1,262 6.9 250

Spokane, WA............................... 16.9 214.9 -7.6 126 1,007 6.1 279

Thurston, WA............................... 8.8 110.3 -7.4 117 1,117 8.7 151

Whatcom, WA.............................. 7.6 83.8 -10.2 217 1,007 6.4 269

Yakima, WA................................. 8.0 117.0 -8.0 138 829 7.2 234

Kanawha, WV............................... 5.6 88.6 -9.5 190 954 3.6 334

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

second quarter 2020 - Continued

Employment Average weekly wage 2

County1

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-203

Ranking by

percent

change

Second

quarter

2020

Percent

change,

second

quarter

2019-203

Ranking by

percent

change

Brown, WI..................................... 7.3 148.0 -8.0 138 $1,007 7.5 219

Dane, WI...................................... 16.3 317.9 -9.0 176 1,231 12.4 36

Milwaukee, WI.............................. 27.5 437.9 -11.0 244 1,108 8.0 193

Outagamie, WI............................. 5.6 102.3 -8.2 146 988 6.9 250

Racine, WI................................. 4.7 70.3 -8.6 162 960 5.5 302

Waukesha, WI.............................. 13.8 231.5 -8.0 138 1,145 7.5 219

Winnebago, WI............................. 4.0 87.8 -6.5 81 1,033 -2.6 354

San Juan, PR............................... 10.9 213.4 -10.7 (5) 681 6.2 (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,

second quarter 2020

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-202

Second

quarter

2020

Percent

change,

second quarter

2019-202

United States3................................................................ 10,451.0 135,114.4 -9.4 $1,188 8.6

 Private industry........................................................... 10,148.9 114,475.9 -10.1 1,179 8.7

 Natural resources and mining.................................. 140.4 1,854.0 -10.1 1,087 -2.2

 Construction............................................................. 844.6 7,269.3 -4.9 1,215 1.2

 Manufacturing.......................................................... 358.0 11,965.4 -7.2 1,331 2.6

 Trade, transportation, and utilities............................ 1,946.3 25,726.3 -6.1 979 5.8

 Information............................................................... 195.4 2,597.7 -10.1 2,444 12.7

 Financial activities.................................................... 939.4 8,121.3 -2.9 1,757 7.1

 Professional and business services......................... 1,963.0 19,711.7 -7.4 1,521 6.4

 Education and health services................................. 1,857.3 21,580.9 -6.5 1,027 5.1

 Leisure and hospitality............................................. 887.7 11,755.1 -31.2 463 -0.9

 Other services.......................................................... 817.7 3,729.8 -18.3 862 13.6

 Government................................................................ 302.0 20,638.4 -5.5 1,237 7.6

Los Angeles, CA............................................................ 518.8 3,945.3 -12.2 1,333 8.9

 Private industry........................................................... 512.4 3,389.2 -13.2 1,294 8.9

 Natural resources and mining.................................. 0.6 6.3 4.1 1,048 -6.2

 Construction............................................................. 17.6 146.0 -2.8 1,342 3.5

 Manufacturing.......................................................... 12.6 310.5 -9.0 1,491 7.0

 Trade, transportation, and utilities............................ 59.8 746.7 -10.2 1,067 6.1

 Information............................................................... 13.8 152.1 -22.2 2,759 9.1

 Financial activities.................................................... 31.2 205.9 -6.6 2,036 5.8

 Professional and business services......................... 58.4 566.8 -10.4 1,613 6.9

 Education and health services................................. 247.8 785.6 -4.4 961 5.4

 Leisure and hospitality............................................. 40.7 355.2 -36.0 752 9.0

 Other services.......................................................... 29.8 114.0 -25.7 951 22.2

 Government................................................................ 6.4 556.1 -5.5 1,562 6.9

Cook, IL......................................................................... 138.4 2,297.3 -13.1 1,372 9.6

 Private industry........................................................... 137.2 2,023.6 -13.7 1,359 9.4

 Natural resources and mining.................................. 0.1 1.7 13.6 1,217 0.2

 Construction............................................................. 11.1 71.8 -9.9 1,545 2.3

 Manufacturing.......................................................... 5.6 173.7 -7.1 1,271 0.3

 Trade, transportation, and utilities............................ 28.3 425.3 -9.5 1,101 5.1

 Information............................................................... 2.6 49.4 -7.5 2,276 8.5

 Financial activities.................................................... 14.2 201.9 -3.0 2,305 5.4

 Professional and business services......................... 29.1 431.8 -10.8 1,651 5.4

 Education and health services................................. 16.0 418.8 -7.4 1,092 7.9

 Leisure and hospitality............................................. 13.8 165.3 -46.2 557 -4.0

 Other services.......................................................... 15.6 83.7 -16.7 1,109 14.6

 Government................................................................ 1.3 273.7 -8.3 1,467 10.2

New York, NY................................................................ 131.1 2,048.7 -18.8 2,427 14.9

 Private industry........................................................... 129.7 1,818.4 -20.7 2,516 16.6

 Natural resources and mining.................................. 0.0 0.2 14.6 2,374 -20.0

 Construction............................................................. 2.4 35.5 -17.0 1,960 -0.9

 Manufacturing.......................................................... 1.8 13.8 -37.7 1,860 23.7

 Trade, transportation, and utilities............................ 18.3 178.1 -30.2 1,714 10.6

 Information............................................................... 5.8 167.1 -14.9 3,232 13.1

 Financial activities.................................................... 19.6 380.3 -4.0 3,960 6.1

 Professional and business services......................... 29.3 527.5 -11.5 2,557 5.8

 Education and health services................................. 10.3 325.6 -9.0 1,588 9.5

 Leisure and hospitality............................................. 14.5 107.0 -66.1 1,109 15.5

 Other services.......................................................... 19.9 79.1 -26.6 1,596 23.1

 Government................................................................ 1.5 230.3 -0.6 1,727 3.1

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

second quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-202

Second

quarter

2020

Percent

change,

second quarter

2019-202

Harris, TX....................................................................... 119.2 2,179.4 -7.3 $1,352 3.4

 Private industry........................................................... 118.7 1,901.4 -8.4 1,365 3.3

 Natural resources and mining.................................. 1.6 55.7 -18.2 3,304 5.9

 Construction............................................................. 7.9 155.4 -9.2 1,403 0.6

 Manufacturing.......................................................... 4.9 164.8 -8.9 1,597 0.4

 Trade, transportation, and utilities............................ 25.3 444.2 -5.1 1,197 0.6

 Information............................................................... 1.3 22.9 -13.9 1,637 8.8

 Financial activities.................................................... 12.9 125.2 -3.6 1,764 3.5

 Professional and business services......................... 24.1 387.4 -6.5 1,668 1.6

 Education and health services................................. 17.2 290.5 -3.9 1,105 3.0

 Leisure and hospitality............................................. 10.8 192.6 -21.7 459 -8.4

 Other services.......................................................... 11.6 60.5 -12.1 902 4.4

 Government................................................................ 0.6 278.0 1.0 1,266 6.3

Maricopa, AZ................................................................. 110.7 1,924.6 -4.6 1,137 7.7

 Private industry........................................................... 110.0 1,751.2 -4.1 1,125 7.6

 Natural resources and mining.................................. 0.5 7.8 -4.9 1,050 2.4

 Construction............................................................. 8.8 131.7 0.1 1,195 3.0

 Manufacturing.......................................................... 3.5 128.1 -1.7 1,535 2.5

 Trade, transportation, and utilities............................ 21.6 385.3 -0.1 1,018 5.7

 Information............................................................... 2.4 33.9 -13.2 1,755 21.5

 Financial activities.................................................... 14.6 191.4 1.9 1,509 11.4

 Professional and business services......................... 28.0 333.7 -3.7 1,174 4.4

 Education and health services................................. 13.9 314.4 -1.4 1,052 3.3

 Leisure and hospitality............................................. 9.3 178.3 -20.7 510 -3.4

 Other services.......................................................... 7.2 46.6 -12.4 846 7.4

 Government................................................................ 0.7 173.4 -9.6 1,240 8.2

Dallas, TX...................................................................... 80.2 1,623.5 -5.8 1,361 4.5

 Private industry........................................................... 79.7 1,452.7 -6.2 1,366 4.4

 Natural resources and mining.................................. 0.5 7.8 -10.0 2,468 -1.6

 Construction............................................................. 5.0 89.5 -5.1 1,332 2.5

 Manufacturing.......................................................... 2.8 114.1 -3.7 1,484 -1.8

 Trade, transportation, and utilities............................ 16.2 340.0 -2.0 1,199 3.5

 Information............................................................... 1.5 44.2 -6.4 2,070 4.9

 Financial activities.................................................... 10.0 157.9 -1.1 1,881 2.0

 Professional and business services......................... 18.5 341.2 -5.0 1,569 1.6

 Education and health services................................. 10.0 193.7 -4.2 1,169 1.2

 Leisure and hospitality............................................. 7.3 126.6 -24.5 525 1.2

 Other services.......................................................... 7.2 36.4 -18.5 1,011 12.7

 Government................................................................ 0.5 170.8 -1.4 1,317 6.0

Orange, CA.................................................................... 130.0 1,442.0 -12.7 1,334 11.4

 Private industry........................................................... 128.6 1,298.2 -13.1 1,317 11.6

 Natural resources and mining.................................. 0.2 2.2 -5.6 925 1.1

 Construction............................................................. 8.0 101.2 -5.3 1,469 1.4

 Manufacturing.......................................................... 5.3 146.4 -8.5 1,641 8.0

 Trade, transportation, and utilities............................ 18.7 231.0 -9.2 1,144 7.7

 Information............................................................... 1.6 23.0 -10.8 2,278 13.9

 Financial activities.................................................... 13.4 112.4 -3.8 2,078 12.5

 Professional and business services......................... 24.3 293.3 -9.5 1,511 9.5

 Education and health services................................. 39.1 211.4 -5.8 1,002 4.3

 Leisure and hospitality............................................. 9.9 139.4 -39.7 504 -7.0

 Other services.......................................................... 7.9 37.9 -21.5 853 14.5

 Government................................................................ 1.4 143.9 -8.4 1,473 7.2

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

second quarter 2020 - Continued

Employment Average weekly wage 1

County by NAICS supersector

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-202

Second

quarter

2020

Percent

change,

second quarter

2019-202

San Diego, CA............................................................... 118.2 1,325.1 -11.2 $1,315 10.6

 Private industry........................................................... 116.3 1,101.6 -12.0 1,269 11.0

 Natural resources and mining.................................. 0.7 10.1 -2.4 785 1.8

 Construction............................................................. 8.2 80.9 -2.5 1,332 4.4

 Manufacturing.......................................................... 3.6 112.5 -4.6 1,662 3.9

 Trade, transportation, and utilities............................ 15.5 199.4 -9.4 991 10.6

 Information............................................................... 1.4 21.2 -10.0 2,037 0.9

 Financial activities.................................................... 11.5 72.6 -4.3 1,693 10.8

 Professional and business services......................... 21.8 237.1 -5.8 1,740 5.4

 Education and health services................................. 35.9 197.4 -5.9 1,018 5.2

 Leisure and hospitality............................................. 9.3 132.5 -35.8 519 -5.5

 Other services.......................................................... 8.3 37.8 -29.3 765 18.6

 Government................................................................ 2.0 223.5 -6.8 1,527 6.9

King, WA........................................................................ 90.3 1,312.9 -8.9 1,945 13.9

 Private industry........................................................... 89.6 1,145.2 -9.6 2,000 14.7

 Natural resources and mining.................................. 0.4 2.9 -11.8 1,321 -5.4

 Construction............................................................. 6.9 70.9 -7.3 1,422 -4.2

 Manufacturing.......................................................... 2.5 94.9 -10.4 1,773 4.4

 Trade, transportation, and utilities............................ 13.4 263.6 -4.2 2,190 11.8

 Information............................................................... 2.7 127.5 4.4 4,319 14.4

 Financial activities.................................................... 7.2 67.2 -3.2 2,034 12.2

 Professional and business services......................... 19.0 226.5 -4.2 2,027 7.7

 Education and health services................................. 21.0 167.5 -6.6 1,142 2.1

 Leisure and hospitality............................................. 7.3 85.4 -42.7 594 -6.9

 Other services.......................................................... 9.2 38.9 -20.7 1,055 11.1

 Government................................................................ 0.6 167.7 -3.8 1,579 9.0

Miami-Dade, FL............................................................. 105.6 1,036.8 -9.3 1,109 5.5

 Private industry........................................................... 105.3 913.8 -10.1 1,082 5.0

 Natural resources and mining.................................. 0.5 8.9 3.9 726 6.3

 Construction............................................................. 7.2 52.0 -0.9 1,052 1.3

 Manufacturing.......................................................... 2.8 39.7 -4.6 950 1.2

 Trade, transportation, and utilities............................ 24.5 262.0 -9.0 994 4.2

 Information............................................................... 1.6 16.7 -12.4 1,812 4.4

 Financial activities.................................................... 11.4 74.0 -3.0 1,681 5.0

 Professional and business services......................... 24.5 153.6 -6.3 1,282 -1.5

 Education and health services................................. 12.8 177.0 -3.8 1,050 3.3

 Leisure and hospitality............................................. 7.7 95.8 -33.4 615 -3.5

 Other services.......................................................... 8.1 32.1 -16.9 732 7.6

 Government................................................................ 0.3 122.9 -2.7 1,289 6.7

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,

second quarter 2020

Employment Average weekly wage 1

State

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-20

Second

quarter

2020

Percent

change,

second quarter

2019-20

United States2.......................................... 10,451.0 135,114.4 -9.4 $1,188 8.6

Alabama................................................... 131.2 1,868.7 -6.4 964 5.9

Alaska...................................................... 22.7 296.2 -12.7 1,195 11.2

Arizona..................................................... 170.7 2,708.4 -5.1 1,090 7.9

Arkansas.................................................. 93.0 1,156.5 -5.5 924 7.3

California.................................................. 1,633.1 15,911.2 -10.2 1,468 10.9

Colorado.................................................. 216.4 2,545.9 -8.0 1,226 8.7

Connecticut.............................................. 123.4 1,483.6 -12.3 1,407 11.3

Delaware.................................................. 34.5 416.0 -9.3 1,156 9.0

District of Columbia.................................. 41.7 701.8 -10.0 1,987 11.7

Florida...................................................... 738.0 8,113.8 -7.1 1,032 6.6

Georgia.................................................... 307.2 4,196.0 -7.0 1,075 5.7

Hawaii...................................................... 45.9 524.9 -20.1 1,108 12.0

Idaho........................................................ 67.9 748.3 -2.3 882 7.6

Illinois....................................................... 379.6 5,391.8 -11.3 1,218 8.6

Indiana..................................................... 171.6 2,865.7 -7.3 960 5.6

Iowa......................................................... 104.7 1,458.8 -8.0 978 8.4

Kansas..................................................... 90.0 1,306.0 -7.0 969 7.1

Kentucky.................................................. 125.4 1,754.0 -8.2 970 6.4

Louisiana................................................. 137.8 1,710.1 -11.0 985 6.7

Maine....................................................... 53.8 572.5 -10.8 980 12.3

Maryland.................................................. 175.8 2,430.3 -11.2 1,305 10.7

Massachusetts......................................... 263.1 3,178.8 -14.3 1,570 14.0

Michigan.................................................. 268.5 3,850.9 -12.9 1,114 9.5

Minnesota................................................ 185.4 2,644.6 -10.5 1,200 9.0

Mississippi............................................... 73.8 1,063.1 -6.4 812 5.9

Missouri................................................... 215.9 2,622.2 -7.5 1,015 7.1

Montana................................................... 51.5 459.5 -4.9 919 9.1

Nebraska................................................. 72.9 932.3 -6.0 960 8.0

Nevada.................................................... 85.9 1,191.6 -15.4 1,048 9.1

New Hampshire....................................... 54.8 605.4 -10.5 1,215 11.5

New Jersey.............................................. 284.1 3,570.3 -14.6 1,376 11.3

New Mexico............................................. 62.4 757.0 -9.4 958 7.8

New York................................................. 652.0 8,142.6 -15.9 1,520 12.8

North Carolina.......................................... 296.2 4,205.4 -6.9 1,038 6.9

North Dakota............................................ 32.4 390.1 -9.7 1,061 3.3

Ohio......................................................... 302.3 5,049.8 -8.0 1,031 7.0

Oklahoma................................................ 112.1 1,521.3 -6.3 940 4.4

Oregon..................................................... 160.9 1,789.3 -9.6 1,143 10.3

Pennsylvania........................................... 362.8 5,314.5 -11.1 1,170 9.2

Rhode Island............................................ 39.5 429.3 -13.2 1,172 13.1

South Carolina......................................... 144.4 1,991.0 -7.2 928 6.9

South Dakota........................................... 34.7 415.9 -5.9 912 9.0

Tennessee............................................... 171.1 2,847.2 -6.6 1,016 5.3

Texas....................................................... 727.4 11,807.1 -6.3 1,156 5.0

Utah......................................................... 111.6 1,474.8 -3.0 1,017 9.1

Vermont................................................... 26.1 271.8 -13.6 1,055 13.6

Virginia..................................................... 283.3 3,635.2 -8.8 1,218 9.4

Washington.............................................. 253.8 3,207.1 -8.4 1,424 10.6

West Virginia........................................... 51.3 634.9 -9.4 933 4.9

Wisconsin................................................ 179.2 2,690.0 -8.7 1,014 8.0

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

second quarter 2020 - Continued

Employment Average weekly wage 1

State

Establishments,

second quarter

2020

(thousands)

June

2020

(thousands)

Percent

change,

June

2019-20

Second

quarter

2020

Percent

change,

second quarter

2019-20

Wyoming.................................................. 27.2 260.5 -9.6 $965 3.7

Puerto Rico.............................................. 46.1 798.7 -7.9 556 4.7

Virgin Islands........................................... 3.4 35.4 -7.0 1,016 6.9

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.