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Economic News Release
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QCEW CEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (EST), Wednesday, November 20, 2019	USDL-19-2050

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 2019

From June 2018 to June 2019, employment increased in 279 of the 355 largest U.S. counties, the 
U.S. Bureau of Labor Statistics reported today. In June 2019, national employment (as measured 
by the QCEW program) increased to 149.1 million, a 1.1 percent increase over the year. Adams, 
CO, had the largest over-the-year increase in employment with a gain of 5.3 percent. 
Employment data in this release are presented for June 2019, and average weekly wage data are 
presented for second quarter 2019.

Among the 355 largest counties, 347 had over-the-year increases in average weekly wages. In 
the second quarter of 2019, average weekly wages for the nation increased to $1,095, a 3.8 
percent increase over the year. Benton, AR, had the largest second quarter over-the-year wage 
gain at 16.3 percent. (See table 1.)  

Large County Employment in June 2019

Adams, CO, had the largest over-the-year percentage increase in employment (5.3 percent). 
Within Adams, the largest employment increase occurred in trade, transportation, and utilities, 
which gained 3,592 jobs over the year (6.4 percent).

Bay, FL, experienced the largest over-the-year percentage decrease in employment, with a loss 
of 6.4 percent. Within Bay, leisure and hospitality had the largest employment decrease with a 
loss of 2,572 jobs (-15.5 percent).

Large County Average Weekly Wage in Second Quarter 2019

Benton, AR, had the largest over-the-year percentage increase in average weekly wages (16.3 
percent). Within Benton, an average weekly wage gain of $557 (35.0 percent) in professional 
and business services made the largest contribution to the countys increase in average weekly 
wages.

McLean, IL, had the largest over-the-year percentage decrease in average weekly wages with a 
loss of 5.8 percent. Within McLean, financial activities had the largest impact, with an average 
weekly wage decrease of $321 (-17.8 percent) over the year.

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage increases in employment and average 
weekly wages. In June 2019, Maricopa, AZ, had the largest over-the-year employment 
percentage gain among the 10 largest counties (3.1 percent). Within Maricopa, education and 
health services had the largest employment increase with a gain of 12,096 jobs (4.0 percent). 
(See table 2.)

In second quarter 2019, King, WA, experienced the largest over-the-year percentage gain in 
average weekly wages among the 10 largest counties (6.6 percent). Within King, information had 
the largest impact, with an average weekly wage increase of $378 (11.1 percent) over the year.

For More Information

The tables included in this release contain data for the nation and for the 355 U.S. counties with 
annual average employment levels of 75,000 or more in 2018. June 2019 employment and 
second quarter 2019 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. 

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

____________
The County Employment and Wages full data update for second quarter 2019 is scheduled 
to be released on Wednesday, December 4, 2019, at 10:00 a.m. (EST). 

The County Employment and Wages news release for third quarter 2019 is scheduled to be 
released on Thursday, February 20, 2020, at 10:00 a.m. (EST). 




Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of 
Employment and Wages (QCEW) program, also known as the ES-202 program. The data are 
derived from summaries of employment and total pay of workers covered by state and federal 
unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The 
summaries are a result of the administration of state unemployment insurance programs that 
require most employers to pay quarterly taxes based on the employment and wages of workers 
covered by UI. QCEW data in this release are based on the 2017 North American Industry 
Classification System (NAICS). Data for 2019 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 356 counties presented in 
this release were derived using 2018 preliminary annual averages of employment. For 2019 data, 
six counties have been added to the publication tables: St. Johns, FL; St. Lucie, FL; Forsyth, GA; 
Greene, OH; Ector, TX; and Racine, WI. These counties will be included in all 2019 quarterly 
releases. The counties in table 2 are selected and sorted each year based on the annual average 
employment from the preceding year.

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.

Summary of Major Differences between QCEW, BED, and CES Employment Measures

----------------------------------------------------------------------------------
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  689,000 establish-
            |  submitted by 10.2  |  ministrative records|  ments
            |  million establish- |  submitted by 8.0    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2019    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|--UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |--Other employment, in-
            |                     |                      |  cluding railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -Within 5 months   |  -7 months after the |  -Usually the 3rd Friday
            |   after the end of  |   end of each quarter|   after the end of the 
            |   each quarter      |                      |   week including 
            |                     |                      |   the 12th of the month
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
 file       |  and publishes each |  quarter to longitu- |  pling frame and to an-
            |  new quarter of UI  |  dinal database and  |  nually realign sample-
            |  data               |  directly summarizes |  based estimates to pop-
            |                     |  gross job gains and |  ulation counts (bench- 
            |                     |  losses              |  marking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
 products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
            |  verse count of es- |  data on establish-  |  ment, hours, and earn-
            |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
            |  ployment, and wages|  ings, expansions,   |  and national level by
            |  at the county, MSA,|  and contractions at |  industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Major uses include:|--Major uses include: |--Major uses include:
 uses       |  -Detailed locality |  -Business cycle     |  -Principal federal
            |   data              |   analysis           |   economic indicator
            |  -Periodic universe |  -Analysis of employ-|  -Official time series 
            |   counts for bench- |   er dynamics under- |   for employment change
            |   marking sample    |   lying economic ex- |   measures
            |   survey estimates  |   pansions and con-  |  -Input into other ma-
            |  -Sample frame for  |   tractions          |   jor economic indi-
            |   BLS establishment |  -Analysis of employ-|   cators
            |   surveys           |   ment expansion and |
            |                     |   contraction by size|
            |                     |   of firm            |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew    |--www.bls.gov/bdm     |--www.bls.gov/ces
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------

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 10.0 
million employer reports of employment and wages submitted by states to the BLS in 2018. 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 2018, UI and UCFE programs 
covered workers in 146.1 million jobs. The estimated 140.5 million workers in these jobs (after 
adjustment for multiple jobholders) represented 96.2 percent of civilian wage and salary 
employment. Covered workers received $8.368 trillion in pay, representing 94.2 percent of the 
wage and salary component of personal income and 40.7 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 over-the-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 part-time 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-the-year 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-the-year changes. 
Percent changes are calculated using an adjusted version of the final 2018 quarterly data as the 
base data. The adjusted prior-year levels used to calculate the over-the-year percent change in 
employment and wages are not published. These adjusted prior-year levels do not match the 
unadjusted data maintained on the BLS Web site. Over-the-year change calculations based on data 
from the Web site, or from data published in prior BLS news releases, may differ substantially 
from the over-the-year changes presented in this news release.

The adjusted data used to calculate the over-the-year change measures presented in this release 
eliminate the effect of most of the administrative changes (those occurring when employers update 
the industry, location, and ownership information of their establishments). The most common 
adjustments for administrative change are the result of updated information about the county 
location of individual establishments. Included in these adjustments are administrative changes 
involving the classification of establishments that were previously reported in the unknown or 
statewide county or unknown industry categories. Adjusted data account for improvements in 
reporting employment and wages for individual and multi-unit establishments. To accomplish this, 
adjustments were implemented to account for: administrative changes caused by multi-unit 
employers who start reporting for each individual establishment rather than as a single entity (first 
quarter of 2008); selected large administrative changes in employment and wages (second quarter 
of 2011); and state verified improvements in reporting of employment and wages (third quarter of 
2014). These adjustments allow QCEW to include county employment and wage growth rates in 
this news release that would otherwise not meet publication standards.

The adjusted data used to calculate the over-the-year change measures presented in any County 
Employment and Wages news release are valid for comparisons between the starting and ending 
points (a 12-month period) used in that particular release. Comparisons may not be valid for any 
time period other than the one featured in a release even if the changes were calculated using 
adjusted data.

County definitions are assigned according to Federal Information Processing Standards 
Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after 
approval by the Secretary of Commerce pursuant to Section 5131 of the Information Technology 
Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. 
Areas shown as counties include those designated as independent cities in some jurisdictions and, 
in Alaska, those designated as census areas where counties have not been created. County data also 
are presented for the New England states for comparative purposes even though townships are the 
more common designation used in New England (and New Jersey). The regions referred to in this 
release are defined as census regions.

Additional statistics and other information

Employment and Wages Annual Averages Online features comprehensive information by detailed 
industry on establishments, employment, and wages for the nation and all states. The 2018 edition 
of this publication, which was published in September 2019, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2019 version of this news release. Tables and additional content from the 2018 edition 
of Employment and Wages Annual Averages Online are now available at 
www.bls.gov/cew/publications/employment-and-wages-annual-averages/2018/home.htm. The 
2019 edition of Employment and Wages Annual Averages Online will be available in September 
2020.

News releases on quarterly measures of gross job flows also are available from BED at 
www.bls.gov/bdm, (202) 691-6467, or data.bls.gov/cgi-bin/forms/bdm.

Information in this release will be made available to sensory impaired individuals upon request. 
Voice phone: (202) 691-5200; TDD message referral phone number: (800) 877-8339.




Table 1. Covered establishments, employment, and wages in the 356 largest counties,
second quarter 2019

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2019          June      change,      by    Second    change,      by
                            (thousands)       2019       June     percent  quarter   second    percent
                                          (thousands) 2018-19(3)   change    2019    quarter    change
                                                                                   2018-19(3)

United States(4).........      10,252.0     149,089.2       1.1        -    $1,095       3.8       -

Jefferson, AL............          19.2         354.6       0.8       184    1,062       2.6      258
Madison, AL..............          10.0         205.9       2.3        54    1,153       4.7       53
Mobile, AL...............          10.3         172.0       0.4       236      904       3.3      187
Montgomery, AL...........           6.4         131.5      -0.5       317      891       3.6      156
Shelby, AL...............           5.9          85.5      -0.2       298    1,013       3.1      210
Tuscaloosa, AL...........           4.6          96.1       2.9        26      883       2.7      253
Anchorage, AK............           8.3         150.3      -0.3       308    1,143       3.4      176
Maricopa, AZ.............         105.5       2,010.9       3.1        17    1,056       3.8      133
Pima, AZ.................          19.3         370.6       1.0       160      917       3.7      148
Benton, AR...............           6.8         122.3       1.6       102    1,197      16.3        1

Pulaski, AR..............          14.6         254.0       0.7       197      949       3.2      200
Washington, AR...........           6.3         109.6       0.9       174      904       4.0      110
Alameda, CA..............          65.7         797.9       0.4       236    1,495       5.7       15
Butte, CA................           8.6          81.2      -3.4       354      843       5.8       12
Contra Costa, CA.........          33.7         372.3       0.1       269    1,332       4.6       66
Fresno, CA...............          37.6         406.8       1.3       131      875       5.7       15
Kern, CA.................          20.9         334.4       1.9        78      912       4.7       53
Los Angeles, CA..........         508.5       4,495.1       1.1       150    1,225       4.2       95
Marin, CA................          12.6         117.6       0.6       209    1,393      -2.0      352
Merced, CA...............           6.8          83.2       1.9        78      810       2.4      272

Monterey, CA.............          14.3         214.8       1.1       150      925       2.3      280
Napa, CA.................           6.0          82.3       1.4       120    1,086       4.3       87
Orange, CA...............         126.3       1,656.4       1.6       102    1,193       2.9      232
Placer, CA...............          13.8         173.2       2.0        69    1,082       3.6      156
Riverside, CA............          68.3         759.8       2.3        54      880       3.3      187
Sacramento, CA...........          61.1         677.9       1.8        84    1,185       3.9      123
San Bernardino, CA.......          62.8         768.4       2.0        69      922       4.8       48
San Diego, CA............         115.5       1,491.0       1.2       140    1,189       4.7       53
San Francisco, CA........          61.8         761.0       3.4         9    2,430      15.5        2
San Joaquin, CA..........          18.6         260.2       2.5        42      933       5.3       25

San Luis Obispo, CA......          10.6         122.4       1.9        78      950       4.7       53
San Mateo, CA............          29.0         416.7       2.6        36    2,373       1.1      338
Santa Barbara, CA........          15.8         210.5       2.4        45    1,050       1.7      327
Santa Clara, CA..........          74.9       1,123.2       1.8        84    2,612       1.5      333
Santa Cruz, CA...........           9.7         112.2       2.3        54    1,008       2.3      280
Solano, CA...............          11.9         144.8       0.4       236    1,163       8.0        6
Sonoma, CA...............          20.5         212.3       0.0       280    1,070       5.4       21
Stanislaus, CA...........          16.3         194.8       1.0       160      929       4.9       46
Tulare, CA...............          11.4         171.5       0.5       224      781       5.8       12
Ventura, CA..............          28.0         334.3       1.0       160    1,069       3.2      200

Yolo, CA.................           7.0         108.4       1.2       140    1,178       3.3      187
Adams, CO................          11.5         227.2       5.3         1    1,065       4.5       71
Arapahoe, CO.............          22.6         337.8       1.2       140    1,244       3.9      123
Boulder, CO..............          15.9         190.3       2.7        32    1,306       5.7       15
Denver, CO...............          34.2         532.4       1.5       113    1,338       5.3       25
Douglas, CO..............          12.6         133.4       2.3        54    1,246       5.8       12
El Paso, CO..............          20.6         285.7       2.4        45      976       3.8      133
Jefferson, CO............          20.7         246.4       1.4       120    1,125       4.1      102
Larimer, CO..............          12.6         167.8       1.6       102      977       5.2       30
Weld, CO.................           7.7         114.7       3.3        10    1,001       5.0       39

Fairfield, CT............          36.8         425.3      -0.7       330    1,572       5.5       20
Hartford, CT.............          29.2         516.5      -0.7       330    1,260       3.3      187
New Haven, CT............          25.2         368.4      -0.9       336    1,101       3.0      220
New London, CT...........           7.7         125.2      -1.1       340    1,056       4.0      110
New Castle, DE...........          20.9         293.3       0.6       209    1,177       3.2      200
Sussex, DE...............           7.4          89.1       2.6        36      776       4.0      110
Washington, DC...........          40.3         780.3       0.5       224    1,778       3.8      133
Alachua, FL..............           7.5         131.7       1.1       150      925       5.2       30
Bay, FL..................           5.8          75.7      -6.4       355      841       9.2        3
Brevard, FL..............          16.5         221.4       2.7        32      995       4.7       53

Broward, FL..............          71.5         813.1       0.8       184    1,013       1.7      327
Collier, FL..............          15.0         142.4       2.0        69      950       2.2      290
Duval, FL................          30.7         520.6       1.8        84    1,003       2.8      243
Escambia, FL.............           8.4         137.3       1.9        78      844       4.3       87
Hillsborough, FL.........          45.0         694.9       2.7        32    1,040       3.7      148
Lake, FL.................           8.7          96.6       2.1        63      756       3.6      156
Lee, FL..................          23.5         259.1       2.1        63      889       2.9      232
Leon, FL.................           8.9         150.5       1.0       160      864       2.7      253
Manatee, FL..............          11.6         125.3       3.0        21      840       1.2      336
Marion, FL...............           8.8         104.5       1.9        78      759       2.7      253

Miami-Dade, FL...........         101.7       1,141.3       1.6       102    1,052       5.0       39
Okaloosa, FL.............           6.7          85.3       1.4       120      932       5.0       39
Orange, FL...............          44.9         857.2       2.2        60      956       4.1      102
Osceola, FL..............           7.6          96.9       3.7         6      750       2.7      253
Palm Beach, FL...........          58.4         607.5       1.6       102    1,057       4.1      102
Pasco, FL................          11.5         115.2       2.1        63      788       4.0      110
Pinellas, FL.............          34.5         438.0       0.6       209      948       4.1      102
Polk, FL.................          14.2         220.9       3.1        17      842       5.1       36
St. Johns, FL............           7.9          77.3       2.2        60      845       1.7      327
St. Lucie, FL............           6.9          76.3       3.3        10      846       5.0       39

Sarasota, FL.............          16.5         167.7       0.5       224      893       2.8      243
Seminole, FL.............          15.6         199.3       2.4        45      950       3.1      210
Volusia, FL..............          15.0         170.0       0.0       280      796       3.2      200
Bibb, GA.................           4.3          82.3      -1.3       343      829       3.4      176
Chatham, GA..............           8.1         159.1       1.3       131      905       2.0      303
Clayton, GA..............           4.1         123.3       0.3       249    1,062       3.9      123
Cobb, GA.................          21.9         374.1       1.5       113    1,112       4.6       66
DeKalb, GA...............          17.8         302.3       0.4       236    1,097       4.2       95
Forsyth, GA..............           6.0          78.2       2.5        42      955       3.4      176
Fulton, GA...............          43.8         905.4       2.4        45    1,404       4.0      110

Gwinnett, GA.............          25.5         360.2       1.0       160    1,018       4.6       66
Hall, GA.................           4.6          89.3       2.0        69      936       3.5      166
Muscogee, GA.............           4.5          93.9      -0.6       327      823       3.3      187
Richmond, GA.............           4.5         103.9      -0.2       298      883       2.9      232
Honolulu, HI.............          27.2         463.9      -1.4       347    1,039       3.5      166
Maui + Kalawao, HI.......           6.6          80.1      -1.6       350      889       4.3       87
Ada, ID..................          17.3         254.9       3.0        21      949       2.8      243
Champaign, IL............           4.1          91.5       1.1       150      943       3.6      156
Cook, IL.................         139.2       2,635.8       0.5       224    1,251       2.5      266
DuPage, IL...............          34.7         630.1      -0.2       298    1,199       3.3      187

Kane, IL.................          12.7         218.3       0.0       280      947       2.8      243
Lake, IL.................          20.3         350.0      -0.2       298    1,370      -2.5      353
McHenry, IL..............           7.9          99.3      -1.4       347      867       3.8      133
McLean, IL...............           3.4          82.3      -0.1       291      950      -5.8      355
Madison, IL..............           5.4         100.8      -1.0       338      847       2.8      243
Peoria, IL...............           4.2         105.4      -1.7       352    1,057       0.5      346
St. Clair, IL............           5.0          91.9      -0.7       330      854       3.4      176
Sangamon, IL.............           4.8         130.9      -0.2       298    1,044       3.3      187
Will, IL.................          15.1         251.5       1.3       131      920       2.3      280
Winnebago, IL............           5.9         127.8      -1.5       349      893       3.1      210

Allen, IN................           9.0         192.6       1.5       113      883       2.6      258
Elkhart, IN..............           4.8         136.0      -2.9       353      922      -1.9      351
Hamilton, IN.............           9.7         147.1       2.0        69    1,009       3.3      187
Lake, IN.................          10.3         190.3       0.5       224      904       3.0      220
Marion, IN...............          24.3         606.9       0.7       197    1,082       3.1      210
St. Joseph, IN...........           5.8         125.6       1.1       150      878       3.1      210
Tippecanoe, IN...........           3.5          85.2       0.2       261      934       4.5       71
Vanderburgh, IN..........           4.8         109.5      -0.4       313      872       5.4       21
Johnson, IA..............           4.4          83.6      -0.7       330      991       1.0      340
Linn, IA.................           7.0         133.6       0.1       269    1,020       1.2      336

Polk, IA.................          18.1         307.3       0.6       209    1,059       1.0      340
Scott, IA................           5.8          93.3       0.3       249      867       3.0      220
Johnson, KS..............          23.5         355.7       0.8       184    1,106       3.7      148
Sedgwick, KS.............          12.5         257.6       2.6        36      904       2.4      272
Shawnee, KS..............           5.0          96.9       0.8       184      874      -2.9      354
Wyandotte, KS............           3.4          89.7      -1.0       338    1,059       5.0       39
Boone, KY................           4.4          95.3       1.3       131      941       3.9      123
Fayette, KY..............          11.1         196.4       1.3       131      959       2.6      258
Jefferson, KY............          25.4         473.2       0.2       261    1,063       3.0      220
Caddo, LA................           7.4         111.0      -1.3       343      858       2.0      303

Calcasieu, LA............           5.5         103.6      -0.6       327      961       3.4      176
East Baton Rouge, LA.....          16.2         260.6      -0.7       330    1,016       3.0      220
Jefferson, LA............          14.3         190.2       0.0       280      971       3.6      156
Lafayette, LA............          10.0         130.1       0.6       209      899       2.3      280
Orleans, LA..............          13.4         198.7       2.1        63      987       2.2      290
St. Tammany, LA..........           8.7          90.9       2.6        36      899       3.3      187
Cumberland, ME...........          14.0         191.1       0.3       249      980       4.3       87
Anne Arundel, MD.........          15.3         276.7       0.0       280    1,159       4.7       53
Baltimore, MD............          21.4         384.3       0.4       236    1,076       3.5      166
Frederick, MD............           6.5         106.9       1.7        97      988       3.6      156

Harford, MD..............           5.9          95.8      -0.5       317    1,032       3.8      133
Howard, MD...............          10.1         177.1       1.0       160    1,316       3.7      148
Montgomery, MD...........          33.0         479.5       0.1       269    1,421       2.2      290
Prince George's, MD......          16.3         324.6       1.8        84    1,137       2.2      290
Baltimore City, MD.......          13.7         344.2      -0.3       308    1,282       4.8       48
Barnstable, MA...........           9.7         108.4      -0.3       308      926       3.5      166
Bristol, MA..............          18.1         232.9      -0.1       291    1,015       4.2       95
Essex, MA................          27.3         332.4      -0.3       308    1,156      -0.7      350
Hampden, MA..............          18.9         213.3       0.8       184      932       2.1      297
Middlesex, MA............          56.9         950.5       1.6       102    1,650       5.2       30

Norfolk, MA..............          25.7         360.3       0.1       269    1,265       4.1      102
Plymouth, MA.............          16.6         202.6       0.6       209    1,039       3.0      220
Suffolk, MA..............          31.8         701.8       2.4        45    1,800       5.3       25
Worcester, MA............          26.6         355.5       0.4       236    1,068       2.6      258
Genesee, MI..............           7.3         137.9       0.1       269      874       2.0      303
Ingham, MI...............           6.5         153.0       0.2       261    1,041       3.8      133
Kalamazoo, MI............           5.4         122.4      -0.1       291    1,002       3.5      166
Kent, MI.................          16.0         414.5       0.1       269      932       3.3      187
Macomb, MI...............          18.9         334.9      -0.5       317    1,052       2.3      280
Oakland, MI..............          42.6         758.9       0.3       249    1,181       1.6      332

Ottawa, MI...............           6.2         130.6      -0.5       317      905       2.6      258
Saginaw, MI..............           4.0          85.1       0.0       280      868       3.8      133
Washtenaw, MI............           9.1         215.5       1.1       150    1,157       2.7      253
Wayne, MI................          34.8         738.3       0.3       249    1,143       2.1      297
Anoka, MN................           7.8         130.1       0.9       174    1,042       2.8      243
Dakota, MN...............          10.7         194.3       1.0       160    1,064       2.2      290
Hennepin, MN.............          41.6         945.3       1.2       140    1,345       1.9      316
Olmsted, MN..............           3.8         101.4      -0.3       308    1,160       3.1      210
Ramsey, MN...............          14.4         337.5       0.8       184    1,188       3.7      148
St. Louis, MN............           5.4         100.8      -0.1       291      916       3.0      220

Stearns, MN..............           4.4          88.5       0.2       261      889       2.5      266
Washington, MN...........           6.1          90.3       0.7       197      931       2.4      272
Harrison, MS.............           4.6          87.8       0.9       174      747       1.9      316
Hinds, MS................           5.7         120.0      -0.2       298      879       2.0      303
Boone, MO................           4.9          94.1       0.4       236      881       5.3       25
Clay, MO.................           5.8         106.1      -0.5       317      943       3.3      187
Greene, MO...............           9.3         170.3       1.9        78      837       1.5      333
Jackson, MO..............          22.4         379.1       0.9       174    1,095       3.4      176
St. Charles, MO..........           9.8         153.1       1.8        84      887       4.5       71
St. Louis, MO............          40.2         611.5      -0.5       317    1,137      -0.3      348

St. Louis City, MO.......          15.0         229.2      -0.4       313    1,151       3.6      156
Yellowstone, MT..........           6.6          82.8       0.3       249      921       2.3      280
Douglas, NE..............          19.1         342.7       0.3       249    1,002       4.4       79
Lancaster, NE............          10.2         172.1       0.0       280      863       1.9      316
Clark, NV................          57.0       1,022.8       2.8        29      943       3.1      210
Washoe, NV...............          15.3         227.3       2.0        69      979       3.7      148
Hillsborough, NH.........          12.3         208.3       0.8       184    1,172       4.0      110
Merrimack, NH............           5.3          78.9       0.4       236      998       1.1      338
Rockingham, NH...........          11.2         154.5       0.5       224    1,082       5.0       39
Atlantic, NJ.............           6.6         136.8       0.7       197      899      -0.6      349

Bergen, NJ...............          33.3         451.4       0.6       209    1,234       2.9      232
Burlington, NJ...........          11.1         207.0       0.6       209    1,088       2.0      303
Camden, NJ...............          12.2         208.5      -0.1       291    1,046       3.6      156
Essex, NJ................          20.9         349.8       0.8       184    1,305       3.3      187
Gloucester, NJ...........           6.4         114.8       2.4        45      910       2.0      303
Hudson, NJ...............          15.4         271.1       1.3       131    1,426       1.8      321
Mercer, NJ...............          11.3         262.7       0.7       197    1,347       2.8      243
Middlesex, NJ............          22.6         434.3       0.3       249    1,233       3.2      200
Monmouth, NJ.............          20.4         275.6       0.3       249    1,041       2.1      297
Morris, NJ...............          17.2         299.7       0.2       261    1,544       2.9      232

Ocean, NJ................          13.7         182.6       2.0        69      848       2.5      266
Passaic, NJ..............          12.6         167.8      -0.1       291    1,027       2.3      280
Somerset, NJ.............          10.3         194.2       0.0       280    1,626       4.4       79
Union, NJ................          14.6         230.8       0.0       280    1,313       3.4      176
Bernalillo, NM...........          19.7         332.9       0.8       184      921       4.0      110
Albany, NY...............          10.2         234.8      -0.9       336    1,181       3.5      166
Bronx, NY................          18.7         325.0       0.8       184    1,117       5.7       15
Broome, NY...............           4.4          87.6      -0.5       317      894       3.5      166
Dutchess, NY.............           8.3         114.7       0.1       269    1,076       3.2      200
Erie, NY.................          24.1         476.7      -0.2       298      986       3.9      123

Kings, NY................          62.8         794.6       0.5       224      955       4.5       71
Monroe, NY...............          18.6         396.0       0.6       209    1,009       2.1      297
Nassau, NY...............          53.3         642.2      -0.6       327    1,216       3.4      176
New York, NY.............         126.1       2,532.1       1.1       150    2,109       4.3       87
Oneida, NY...............           5.2         107.3       0.2       261      870       4.8       48
Onondaga, NY.............          12.6         253.7       1.4       120    1,003       2.3      280
Orange, NY...............          10.4         150.7       1.3       131      963       2.6      258
Queens, NY...............          52.6         720.6       1.6       102    1,088       2.4      272
Richmond, NY.............           9.8         128.6       3.9         2    1,034       3.7      148
Rockland, NY.............          10.8         132.0       2.2        60    1,038       1.8      321

Saratoga, NY.............           5.9          92.3      -1.2       341    1,040       4.0      110
Suffolk, NY..............          52.7         688.5      -0.4       313    1,157       2.0      303
Westchester, NY..........          35.6         440.4      -0.1       291    1,417       4.7       53
Buncombe, NC.............           9.7         134.9       1.8        84      840       4.5       71
Cabarrus, NC.............           4.9          77.2       2.8        29      802       4.4       79
Catawba, NC..............           4.5          89.1       0.1       269      829       2.1      297
Cumberland, NC...........           6.2         121.3       0.6       209      853       4.0      110
Durham, NC...............           8.6         211.5       3.8         5    1,312       4.5       71
Forsyth, NC..............           9.3         191.3       1.6       102      944       1.8      321
Guilford, NC.............          14.6         284.6       0.8       184      948       5.2       30

Mecklenburg, NC..........          39.0         717.6       3.0        21    1,225       2.0      303
New Hanover, NC..........           8.5         118.7       2.4        45      873       5.4       21
Pitt, NC.................           3.8          77.1       1.0       160      863       4.0      110
Wake, NC.................          36.0         581.5       2.4        45    1,143       3.8      133
Cass, ND.................           7.4         121.3       2.1        63      994       4.4       79
Butler, OH...............           8.0         158.0       1.2       140      939       4.2       95
Cuyahoga, OH.............          36.2         739.0       0.4       236    1,082       2.3      280
Delaware, OH.............           5.6          91.8       0.6       209    1,047       4.7       53
Franklin, OH.............          33.6         765.2       0.8       184    1,060       3.5      166
Greene, OH...............           3.7          76.1       1.8        84    1,117       4.7       53

Hamilton, OH.............          24.2         527.5       0.7       197    1,158       4.7       53
Lake, OH.................           6.3          98.9       1.1       150      894       4.4       79
Lorain, OH...............           6.2         100.9       0.6       209      825       2.2      290
Lucas, OH................          10.2         211.4       1.4       120      905       3.2      200
Mahoning, OH.............           5.9          98.4      -1.3       343      755       3.0      220
Montgomery, OH...........          12.0         257.6       0.2       261      923       2.9      232
Stark, OH................           8.6         160.7      -0.4       313      806       3.2      200
Summit, OH...............          14.4         269.4       0.1       269      947       3.2      200
Warren, OH...............           5.2          99.8       3.6         8      998       8.6        5
Cleveland, OK............           6.0          82.1       1.7        97      800       3.0      220

Oklahoma, OK.............          28.3         463.8       0.9       174    1,000       3.0      220
Tulsa, OK................          22.7         362.6       1.1       150      964       2.4      272
Clackamas, OR............          15.6         171.7       1.8        84    1,030       2.6      258
Deschutes, OR............           9.3          87.4       2.6        36      900       4.8       48
Jackson, OR..............           7.9          90.9       0.1       269      848       5.7       15
Lane, OR.................          12.8         159.2       0.3       249      856       2.8      243
Marion, OR...............          11.5         161.5       1.0       160      922       3.9      123
Multnomah, OR............          36.6         520.6       1.8        84    1,164       4.9       46
Washington, OR...........          20.5         304.7       1.5       113    1,364       1.8      321
Allegheny, PA............          35.7         710.1       0.4       236    1,168       3.8      133

Berks, PA................           9.0         177.1       1.0       160      969       1.7      327
Bucks, PA................          20.3         274.7       1.4       120      996       2.5      266
Butler, PA...............           5.1          88.8       0.7       197      994       2.1      297
Chester, PA..............          15.8         256.0       0.9       174    1,387       3.0      220
Cumberland, PA...........           6.6         137.0       1.2       140    1,009       4.1      102
Dauphin, PA..............           7.5         190.2       1.4       120    1,065       5.2       30
Delaware, PA.............          14.2         228.0       0.7       197    1,128       3.9      123
Erie, PA.................           7.0         123.6       0.1       269      812       2.3      280
Lackawanna, PA...........           5.6          97.9      -1.2       341      821       2.0      303
Lancaster, PA............          13.8         247.7       1.0       160      904       5.2       30

Lehigh, PA...............           8.9         197.7       0.8       184    1,036       4.1      102
Luzerne, PA..............           7.5         145.7      -0.5       317      856       2.0      303
Montgomery, PA...........          27.9         510.2       1.2       140    1,297       4.0      110
Northampton, PA..........           6.9         119.1       2.4        45      930       3.8      133
Philadelphia, PA.........          35.0         697.4       1.5       113    1,251       3.8      133
Washington, PA...........           5.6          90.6       0.5       224    1,050       4.1      102
Westmoreland, PA.........           9.3         135.9       0.5       224      870       3.0      220
York, PA.................           9.2         180.5      -0.2       298      952       3.5      166
Kent, RI.................           5.6          77.9       0.5       224      934       2.4      272
Providence, RI...........          18.9         290.0       0.3       249    1,065       3.1      210

Charleston, SC...........          16.9         262.8       2.0        69      964       4.7       53
Greenville, SC...........          15.2         280.8       1.4       120      934       2.5      266
Horry, SC................           9.7         141.2       0.4       236      649       3.8      133
Lexington, SC............           7.1         121.5       0.9       174      816       4.2       95
Richland, SC.............          10.7         223.5       0.0       280      901       2.9      232
Spartanburg, SC..........           6.6         146.5       2.5        42      915       5.9       11
York, SC.................           6.4         100.9       3.3        10      873       3.8      133
Minnehaha, SD............           7.6         130.1       1.2       140      935       4.4       79
Davidson, TN.............          24.5         514.7       3.3        10    1,124       3.9      123
Hamilton, TN.............          10.2         208.4       1.4       120      946       1.9      316

Knox, TN.................          13.0         239.6       0.6       209      921       0.1      347
Rutherford, TN...........           6.1         134.1       2.3        54      961       2.9      232
Shelby, TN...............          21.1         504.8       0.7       197    1,090       5.1       36
Williamson, TN...........           9.6         140.5       3.2        14    1,263       4.5       71
Bell, TX.................           5.7         120.8       1.0       160      931       3.4      176
Bexar, TX................          43.1         876.3       1.5       113      990       5.4       21
Brazoria, TX.............           6.1         116.6       2.7        32    1,098       2.0      303
Brazos, TX...............           4.7         104.6       3.0        21      803       1.0      340
Cameron, TX..............           6.6         142.2       1.0       160      659       4.6       66
Collin, TX...............          27.2         432.5       2.6        36    1,258       1.7      327

Dallas, TX...............          78.8       1,737.1       2.1        63    1,304       4.8       48
Denton, TX...............          16.1         257.7       3.7         6      971       2.4      272
Ector, TX................           4.2          80.5       1.2       140    1,219       3.9      123
El Paso, TX..............          15.6         308.5       1.0       160      756       3.1      210
Fort Bend, TX............          14.3         197.4       3.2        14      980       3.2      200
Galveston, TX............           6.3         112.5       1.4       120      972       6.3        8
Harris, TX...............         117.3       2,349.3       1.7        97    1,306       2.8      243
Hidalgo, TX..............          12.7         265.1       1.7        97      657       2.0      303
Jefferson, TX............           5.9         122.4      -0.2       298    1,061       2.0      303
Lubbock, TX..............           7.8         141.2       0.9       174      850       1.0      340

McLennan, TX.............           5.4         113.9       1.1       150      875       0.7      344
Midland, TX..............           6.0         108.6       3.1        17    1,450       4.3       87
Montgomery, TX...........          12.2         192.2       3.0        21    1,073       0.6      345
Nueces, TX...............           8.3         165.2       0.4       236      925       3.4      176
Potter, TX...............           4.0          76.9       0.7       197      887       2.5      266
Smith, TX................           6.4         103.5       0.5       224      883       2.8      243
Tarrant, TX..............          45.2         920.9       1.2       140    1,078       3.9      123
Travis, TX...............          43.2         779.6       3.2        14    1,292       4.4       79
Webb, TX.................           5.6         104.2       1.8        84      697       1.8      321
Williamson, TX...........          11.8         182.8       3.9         2    1,066       5.3       25

Davis, UT................           9.0         134.5       2.3        54      903       4.0      110
Salt Lake, UT............          48.3         723.8       2.9        26    1,055       4.6       66
Utah, UT.................          17.6         251.2       3.9         2      893       3.6      156
Weber, UT................           6.4         109.4       3.1        17      813       2.9      232
Chittenden, VT...........           7.1         103.6       0.4       236    1,039       1.9      316
Arlington, VA............           9.2         183.9       1.8        84    1,704       2.9      232
Chesterfield, VA.........           9.5         138.2       0.9       174      910       2.9      232
Fairfax, VA..............          37.0         629.7       1.6       102    1,647       4.5       71
Henrico, VA..............          11.9         195.0       0.0       280    1,022       4.3       87
Loudoun, VA..............          12.8         179.0       2.8        29    1,216       2.6      258

Prince William, VA.......           9.6         136.8       1.6       102      940       1.8      321
Alexandria City, VA......           6.3          93.1      -0.2       298    1,471       4.2       95
Chesapeake City, VA......           6.2         102.9       0.5       224      849       2.4      272
Newport News City, VA....           4.0         104.0       0.7       197    1,030       4.3       87
Norfolk City, VA.........           6.1         141.9      -0.7       330    1,095       3.5      166
Richmond City, VA........           8.1         157.6       1.5       113    1,160       4.2       95
Virginia Beach City, VA..          12.4         184.0       0.6       209      839       3.7      148
Benton, WA...............           6.1          96.6       1.3       131    1,083       6.1       10
Clark, WA................          15.4         165.8       1.6       102    1,048       5.0       39
King, WA.................          90.1       1,445.1       2.9        26    1,709       6.6        7

Kitsap, WA...............           6.9          92.6       2.0        69    1,054       3.6      156
Pierce, WA...............          23.3         318.3       1.4       120    1,028       5.1       36
Snohomish, WA............          21.8         294.2       1.8        84    1,179       3.8      133
Spokane, WA..............          16.7         231.3       1.7        97      947       4.4       79
Thurston, WA.............           8.6         118.6       1.3       131    1,034       4.7       53
Whatcom, WA..............           7.4          93.5       0.9       174      945       3.8      133
Yakima, WA...............           8.1         127.2      -1.3       343      773       4.7       53
Kanawha, WV..............           5.7          97.5      -1.6       350      916       2.2      290
Brown, WI................           7.3         162.2       0.6       209      929       3.1      210
Dane, WI.................          16.5         346.1       1.8        84    1,105       6.3        8

Milwaukee, WI............          28.1         491.7      -0.5       317    1,025       4.0      110
Outagamie, WI............           5.6         111.2      -0.5       317      928       3.3      187
Racine, WI...............           4.7          77.3       0.3       249      908       1.3      335
Waukesha, WI.............          13.8         251.6       0.7       197    1,064       3.4      176
Winnebago, WI............           4.0          94.1       0.2       261    1,055       9.1        4
San Juan, PR.............          11.2         240.4       0.5       (5)      639      -3.3      (5)

(1) Includes areas not officially designated as counties. See Technical Note.
(2) Average weekly wages were calculated using unrounded data.
(3) Percent changes were computed from employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(5) This county was not included in the U.S. rankings.

Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs. These 355 U.S. counties comprise 73.4 percent of
the total covered workers in the U.S.




Table 2. Covered establishments, employment, and wages in the 10 largest counties,
second quarter 2019

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter
         County by NAICS supersector                2019                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2019       June     quarter  second
                                                              (thousands) 2018-19(2)   2019    quarter
                                                                                             2018-19(2)


United States(3) ............................      10,252.0     149,089.2       1.1   $1,095       3.8
  Private industry...........................       9,951.2     127,278.4       1.2    1,085       3.8
    Natural resources and mining.............         139.6       2,062.7      -0.2    1,115       3.5
    Construction.............................         830.8       7,619.6       2.4    1,201       3.6
    Manufacturing............................         356.0      12,862.0       0.9    1,297       2.9
    Trade, transportation, and utilities.....       1,944.7      27,415.8       0.3      927       4.3
    Information..............................         184.2       2,856.0       1.0    2,168       5.3
    Financial activities.....................         913.8       8,357.3       1.1    1,638       3.2
    Professional and business services.......       1,901.1      21,300.7       1.6    1,429       4.5
    Education and health services............       1,757.4      22,968.4       1.7      979       3.1
    Leisure and hospitality..................         879.6      17,040.9       1.1      467       4.2
    Other services...........................         861.0       4,618.6       1.0      754       4.0
  Government.................................         300.8      21,810.7       0.4    1,150       3.3

Los Angeles, CA..............................         508.5       4,495.1       1.1    1,225       4.2
  Private industry...........................         502.1       3,909.5       1.2    1,189       3.7
    Natural resources and mining.............           0.5           6.3      -4.0    1,099       4.9
    Construction.............................          16.7         149.4       2.5    1,295       4.8
    Manufacturing............................          12.8         339.9      -0.1    1,387       4.4
    Trade, transportation, and utilities.....          59.4         833.8       0.0    1,008       5.5
    Information..............................          13.0         193.0       1.3    2,547       5.2
    Financial activities.....................          30.1         223.6      -0.2    1,920       3.0
    Professional and business services.......          55.9         634.2       1.9    1,514       2.3
    Education and health services............         243.8         822.4       2.4      910       3.5
    Leisure and hospitality..................          38.9         552.2       2.0      691       1.6
    Other services...........................          29.3         153.3       0.0      779       0.9
  Government.................................           6.4         585.7       0.2    1,463       6.6

Cook, IL.....................................         139.2       2,635.8       0.5    1,251       2.5
  Private industry...........................         138.0       2,337.2       0.5    1,241       2.7
    Natural resources and mining.............           0.1           1.5      10.9    1,192       1.9
    Construction.............................          11.2          80.3       0.4    1,508       3.1
    Manufacturing............................           5.7         185.6       0.5    1,262       1.0
    Trade, transportation, and utilities.....          28.5         472.8      -0.1    1,049       4.6
    Information..............................           2.5          53.0       1.1    2,057       5.6
    Financial activities.....................          14.1         208.3       1.7    2,188       3.6
    Professional and business services.......          29.2         479.2       1.2    1,565      -0.2
    Education and health services............          15.6         450.6       0.0    1,014       3.0
    Leisure and hospitality..................          13.9         304.5       0.8      580       3.8
    Other services...........................          16.2         100.9      -1.0      967       3.5
  Government.................................           1.3         298.6       0.0    1,328       1.0

New York, NY.................................         126.1       2,532.1       1.1    2,109       4.3
  Private industry...........................         124.7       2,300.7       1.1    2,153       4.4
    Natural resources and mining.............           0.0           0.2      11.8    2,655      31.8
    Construction.............................           2.4          44.0      -1.5    1,982       3.7
    Manufacturing............................           1.8          22.5      -4.8    1,553       3.5
    Trade, transportation, and utilities.....          18.6         253.8      -0.5    1,546       2.4
    Information..............................           5.1         182.8       3.5    2,883       6.1
    Financial activities.....................          19.4         392.5       1.6    3,746       2.4
    Professional and business services.......          27.5         624.1       1.1    2,396       5.4
    Education and health services............          10.2         357.1       2.1    1,449       4.4
    Leisure and hospitality..................          14.7         314.0       0.2      953       5.1
    Other services...........................          19.7         105.9       0.2    1,295       5.1
  Government.................................           1.4         231.4       0.8    1,674       2.6

Harris, TX...................................         117.3       2,349.3       1.7    1,306       2.8
  Private industry...........................         116.7       2,074.2       1.9    1,321       2.7
    Natural resources and mining.............           1.6          68.0       2.1    3,027      -1.4
    Construction.............................           7.8         170.1       4.0    1,401       2.9
    Manufacturing............................           4.9         181.6       3.9    1,606       0.0
    Trade, transportation, and utilities.....          25.2         468.9       0.3    1,194       3.5
    Information..............................           1.2          26.7       1.8    1,510       3.9
    Financial activities.....................          12.7         130.1       2.1    1,704       3.3
    Professional and business services.......          23.6         411.6       1.9    1,638       3.0
    Education and health services............          16.6         301.0       1.5    1,075       3.2
    Leisure and hospitality..................          10.6         245.4       2.3      501       4.6
    Other services...........................          11.8          69.4       1.5      866       6.1
  Government.................................           0.6         275.0       0.3    1,193       3.8

Maricopa, AZ.................................         105.5       2,010.9       3.1    1,056       3.8
  Private industry...........................         104.8       1,819.3       3.1    1,046       4.0
    Natural resources and mining.............           0.4           8.2      -1.9    1,024       8.4
    Construction.............................           8.5         131.9       8.3    1,157       6.8
    Manufacturing............................           3.5         128.4       2.5    1,505       1.8
    Trade, transportation, and utilities.....          20.6         384.7       2.1      965       4.1
    Information..............................           2.1          38.0       0.4    1,429       4.8
    Financial activities.....................          13.6         189.9       3.4    1,355       2.8
    Professional and business services.......          26.2         345.4       3.4    1,118       3.2
    Education and health services............          13.3         316.1       4.0    1,019       3.6
    Leisure and hospitality..................           9.1         222.2       1.7      529       5.8
    Other services...........................           7.0          54.1       1.0      790       5.6
  Government.................................           0.7         191.6       2.6    1,145       2.9

Dallas, TX...................................          78.8       1,737.1       2.1    1,304       4.8
  Private industry...........................          78.2       1,563.7       2.3    1,311       5.0
    Natural resources and mining.............           0.5           9.4       7.5    3,327      -4.0
    Construction.............................           4.9          93.1       3.0    1,309       3.3
    Manufacturing............................           2.8         118.5       3.0    1,526       6.6
    Trade, transportation, and utilities.....          16.2         351.1       1.9    1,143       5.5
    Information..............................           1.4          46.3      -1.5    1,980       9.4
    Financial activities.....................           9.8         166.9       2.7    1,817       6.4
    Professional and business services.......          17.8         361.1       2.8    1,540       5.3
    Education and health services............           9.8         203.5       2.2    1,152       2.1
    Leisure and hospitality..................           7.2         168.2       2.0      523       0.2
    Other services...........................           7.1          44.6       1.5      910       6.2
  Government.................................           0.5         173.4       0.4    1,243       3.4

Orange, CA...................................         126.3       1,656.4       1.6    1,193       2.9
  Private industry...........................         124.9       1,499.3       1.8    1,177       2.9
    Natural resources and mining.............           0.2           2.4      -7.1      927       1.9
    Construction.............................           7.7         107.1       1.3    1,444       5.9
    Manufacturing............................           5.3         160.0      -0.2    1,516       0.7
    Trade, transportation, and utilities.....          18.5         255.7      -0.4    1,062       4.3
    Information..............................           1.6          25.6      -3.2    2,055       1.0
    Financial activities.....................          12.9         115.9      -1.4    1,852       4.4
    Professional and business services.......          23.5         326.1       4.1    1,373       2.3
    Education and health services............          37.4         224.9       3.4      962       2.8
    Leisure and hospitality..................           9.7         232.5       3.3      541       6.1
    Other services...........................           7.6          48.5       1.3      744       3.2
  Government.................................           1.4         157.0       0.1    1,345       3.3

San Diego, CA................................         115.5       1,491.0       1.2    1,189       4.7
  Private industry...........................         113.5       1,252.0       1.5    1,147       4.8
    Natural resources and mining.............           0.7          10.6       5.1      773       1.3
    Construction.............................           7.8          84.3       0.2    1,279       6.0
    Manufacturing............................           3.5         115.0       1.6    1,595       6.3
    Trade, transportation, and utilities.....          15.4         220.6      -0.1      902       5.6
    Information..............................           1.4          23.1      -2.7    2,039      10.5
    Financial activities.....................          11.1          75.8      -0.5    1,538       2.9
    Professional and business services.......          20.9         253.4       2.8    1,659       4.5
    Education and health services............          34.7         209.0       3.1      974       2.9
    Leisure and hospitality..................           9.1         206.4       1.2      548       5.2
    Other services...........................           8.2          53.2       1.3      660       3.8
  Government.................................           2.0         239.1       0.0    1,406       4.1

King, WA.....................................          90.1       1,445.1       2.9    1,709       6.6
  Private industry...........................          89.5       1,270.7       3.2    1,745       6.7
    Natural resources and mining.............           0.4           3.2       3.6    1,359      -4.0
    Construction.............................           6.9          76.2       3.0    1,479       5.0
    Manufacturing............................           2.5         106.0       3.6    1,689       2.3
    Trade, transportation, and utilities.....          13.7         276.7       2.6    1,958       4.5
    Information..............................           2.6         122.3       8.5    3,771      11.1
    Financial activities.....................           6.8          71.5       1.1    1,814       6.3
    Professional and business services.......          18.5         235.7       2.8    1,899       5.9
    Education and health services............          21.3         180.6       2.5    1,117       3.9
    Leisure and hospitality..................           7.4         149.6       1.2      637       6.7
    Other services...........................           9.3          49.0       7.1      950       5.3
  Government.................................           0.6         174.4       0.9    1,449       5.6

Miami-Dade, FL...............................         101.7       1,141.3       1.6    1,052       5.0
  Private industry...........................         101.4       1,015.0       1.7    1,032       5.3
    Natural resources and mining.............           0.5           8.6       1.8      682       1.9
    Construction.............................           7.3          51.7       3.1    1,047       8.3
    Manufacturing............................           2.8          41.9       3.1      942       5.5
    Trade, transportation, and utilities.....          24.6         287.6       1.3      960       4.0
    Information..............................           1.6          19.0       2.9    1,735       2.6
    Financial activities.....................          10.9          75.8      -0.2    1,596       4.4
    Professional and business services.......          23.4         164.4       1.7    1,295       9.8
    Education and health services............          11.3         182.9       1.9    1,025       3.3
    Leisure and hospitality..................           7.6         142.8       2.0      639       5.1
    Other services...........................           8.6          38.8       1.1      672       3.5
  Government.................................           0.3         126.3       0.3    1,208       3.4

(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(3) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Counties selected are based on 2018 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 2019

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2019                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2019       June    quarter  second
                                            (thousands)   2018-19    2019   quarter
                                                                            2018-19


United States(2)...........      10,252.0     149,089.2       1.1   $1,095      3.8

Alabama....................         129.6       1,993.7       1.1      911      3.4
Alaska.....................          22.3         338.9       0.7    1,078      3.6
Arizona....................         166.5       2,843.3       2.6    1,010      3.8
Arkansas...................          91.9       1,222.5       0.6      862      4.6
California.................       1,595.3      17,717.4       1.5    1,325      4.7
Colorado...................         210.2       2,765.7       2.2    1,128      4.9
Connecticut................         123.0       1,690.8      -0.8    1,266      3.9
Delaware...................          33.8         458.0       0.8    1,057      3.4
District of Columbia.......          40.3         780.4       0.5    1,778      3.8
Florida....................         716.5       8,722.9       1.8      968      3.9

Georgia....................         285.1       4,507.1       1.7    1,016      3.9
Hawaii.....................          44.7         652.2      -1.2      992      3.7
Idaho......................          67.5         765.1       2.6      820      3.3
Illinois...................         378.3       6,074.7       0.3    1,122      2.4
Indiana....................         167.7       3,089.8       0.5      910      3.1
Iowa.......................         104.2       1,584.7       0.1      902      2.5
Kansas.....................          87.9       1,403.0       0.6      905      2.8
Kentucky...................         121.3       1,909.7       0.3      911      3.3
Louisiana..................         135.0       1,920.2      -0.2      923      2.4
Maine......................          54.3         639.6       0.4      874      3.7

Maryland...................         174.3       2,733.6       0.7    1,178      3.3
Massachusetts..............         262.9       3,690.1       0.9    1,377      4.3
Michigan...................         261.9       4,419.7       0.1    1,018      2.4
Minnesota..................         182.4       2,952.6       0.8    1,101      2.6
Mississippi................          73.7       1,135.9       0.4      767      2.0
Missouri...................         208.3       2,836.7       0.3      948      2.5
Montana....................          49.5         483.1       1.0      843      3.3
Nebraska...................          72.6         991.5       0.1      889      3.5
Nevada.....................          83.7       1,408.8       2.6      961      3.2
New Hampshire..............          53.7         676.1       0.8    1,090      4.0

New Jersey.................         276.9       4,182.5       0.7    1,236      3.0
New Mexico.................          61.7         834.0       1.0      888      4.3
New York...................         651.9       9,682.8       1.0    1,347      3.9
North Carolina.............         284.7       4,527.3       2.0      970      3.9
North Dakota...............          31.9         431.8       1.3    1,026      4.1
Ohio.......................         300.7       5,486.7       0.4      965      3.4
Oklahoma...................         111.2       1,618.5       0.5      900      3.1
Oregon.....................         160.2       1,976.5       1.3    1,036      3.8
Pennsylvania...............         362.1       5,972.1       0.8    1,070      3.8
Rhode Island...............          38.8         494.5       0.7    1,034      3.4

South Carolina.............         139.0       2,144.2       1.3      867      3.7
South Dakota...............          34.1         441.8       0.4      838      3.8
Tennessee..................         166.4       3,047.8       1.8      964      3.3
Texas......................         707.8      12,585.6       2.0    1,102      3.8
Utah.......................         107.5       1,526.1       3.0      936      4.1
Vermont....................          26.1         314.0       0.0      929      2.7
Virginia...................         281.9       3,981.6       1.0    1,113      3.7
Washington.................         251.3       3,500.6       1.8    1,288      5.9
West Virginia..............          51.5         700.4      -0.6      889      2.4
Wisconsin..................         181.0       2,945.3       0.3      940      4.1

Wyoming....................          26.9         287.6       1.7      932      3.4

Puerto Rico................          47.0         867.7       1.5      531     -1.8
Virgin Islands.............           3.4          37.0      10.0      919      8.8

(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.




Last Modified Date: November 20, 2019