County Employment and Wages News Release

For release 10:00 a.m. (EST), Wednesday, November 21, 2018	USDL-18-1859

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 2018

From June 2017 to June 2018, employment increased in 309 of the 349 largest U.S. counties, the 
U.S. Bureau of Labor Statistics reported today. In June 2018, national employment (as measured 
by the Quarterly Census of Employment and Wages program) increased to 147.4 million, a 1.5 
percent increase over the year. Midland, TX, had the largest over-the-year increase in 
employment with a gain of 11.6 percent. Employment data in this release are presented for June 
2018, and average weekly wage data are presented for second quarter 2018.

Among the 349 largest counties, 340 had over-the-year increases in average weekly wages. In 
the second quarter of 2018, average weekly wages for the nation increased to $1,055, a 3.4 
percent increase over the year. Marin, CA, had the largest second quarter over-the-year wage 
gain at 11.7 percent. (See table 1.)

Large County Employment in June 2018

Midland, TX, had the largest over-the-year percentage increase in employment (11.6 percent). 
Within Midland, the largest employment increase occurred in natural resources and mining, 
which gained 6,009 jobs over the year (25.7 percent).

McLean, IL, experienced the largest over-the-year percentage decrease in employment, with a 
loss of 2.0 percent. Within McLean, financial activities had the largest decrease in employment 
with a loss of 892 jobs (-4.5 percent) over the year. 

Large County Average Weekly Wage in Second Quarter 2018

Marin, CA, had the largest over-the-year percentage increase in average weekly wages (11.7 
percent). Within Marin, an average weekly wage gain of $439 (26.5 percent) over the year in 
professional and business services made the largest contribution to the county’s increase in 
average weekly wages.

New Hanover, NC, had the largest over-the-year percentage decrease in average weekly wages 
with a loss of 6.4 percent. Within New Hanover, professional and business services had the 
largest impact on the county’s change, with an average weekly wage decrease of $511 (-33.2 
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 2018, Maricopa, AZ, had the largest over-the-year employment 
percentage gain among the 10 largest counties (2.8 percent). Within Maricopa, trade, 
transportation, and utilities had the largest over-the-year employment increase with a gain of 
10,775 jobs (2.9 percent). (See table 2.)

In second quarter 2018, King, WA, experienced the largest over-the-year average weekly wage 
percentage gain among the 10 largest counties (9.3 percent). Within King, trade, transportation, 
and utilities had the largest impact on the county’s change, with an average weekly wage 
increase of $270 (16.7 percent) over the year.

For More Information

The tables included in this release contain data for the nation and for the 349 U.S. counties with 
annual average employment levels of 75,000 or more in 2017. June 2018 employment and 
second quarter 2018 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/cewregional.htm.

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

____________
The County Employment and Wages full data update for second quarter 2018 is scheduled 
to be released on Thursday, December 6, 2018, at 10:00 a.m. (EST). 

The County Employment and Wages news release for third quarter 2018 is scheduled to be 
released on Wednesday, February 20, 2019, at 10:00 a.m. (EST). 

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|                                                                                                     |
|                          New BLS Local Data iPhone App Includes QCEW Data                           |
|                                                                                                     |
|  BLS has partnered with the U.S. Department of Labor’s Office of the Chief Information Officer      |
|  to develop a new mobile app for iPhones. The BLS Local Data app is ideal for customers, such       |
|  as jobseekers and economic and workforce development professionals, who want to know more          |
|  about local labor markets. For more information, please go to:                                     |
|  https://blogs.bls.gov/blog/2018/10/18/new-bls-local-data-app-now-available/                        |
|                                                                                                     |
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Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of Employment and Wag-
es (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 in-
surance 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 2018 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 addi-
tion, data for San Juan, Puerto Rico, 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 349 counties presented in this release were derived using 2017 preliminary 
annual averages of employment. For 2018 data, three counties have been added to the publication tables: Cabar-
rus, N.C.; Pitt, N.C.; and Kent, R.I. These counties will be included in all 2018 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 edit-
ing. 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 dif-
ferent 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- |  651,000 establish-
            |  submitted by 10.0  |  ministrative records|  ments
            |  million establish- |  submitted by 8.0    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2018    |  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 submit-
ted 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, em-
ployers 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 establish-
ments. QCEW employment and wage data are derived from microdata summaries of 9.8 million employer reports 
of employment and wages submitted by states to the BLS in 2017. These reports are based on place of employ-
ment 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 2017, UI and UCFE programs covered workers in 143.9 million jobs. The 
estimated 138.6 million workers in these jobs (after adjustment for multiple jobholders) represented 96.4 percent 
of civilian wage and salary employment. Covered workers received $7.968 trillion in pay, representing 94.3 per-
cent 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 work-
ers, 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 compari-
sons 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 pro-
duction 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 quar-
ter. 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 sup-
plied, 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 fluctua-
tions in average monthly employment and/or total quarterly wages between the current quarter and prior year lev-
els.

Average weekly wages are affected by the ratio of full-time to part-time workers as well as the number of individ-
uals 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 concen-
trated 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 2017 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 owner-
ship 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 un-
known 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 im-
plemented to account for: administrative changes caused by multi-unit employers who start reporting for each in-
dividual 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 Se-
curity 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 es-
tablishments, employment, and wages for the nation and all states. The 2017 edition of this publication, which was 
published in September 2018, contains selected data produced by Business Employment Dynamics (BED) on job 
gains and losses, as well as selected data from the first quarter 2018 version of this news release. Tables and addi-
tional content from the 2017 edition of Employment and Wages Annual Averages Online are now available at 
www.bls.gov/cew/cewbultn17.htm. The 2018 edition of Employment and Wages Annual Averages Online will be 
available in September 2019.

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 350 largest counties,
second quarter 2018

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2018          June      change,      by    Second    change,      by
                            (thousands)       2018       June     percent  quarter   second    percent
                                          (thousands) 2017-18(3)   change    2018    quarter    change
                                                                                   2017-18(3)

United States(4).........      10,048.0     147,431.2       1.5        -    $1,055       3.4       -

Jefferson, AL............          18.9         350.6       1.4       144    1,034       2.7      204
Madison, AL..............           9.7         200.7       1.7       118    1,102       2.9      185
Mobile, AL...............          10.3         171.5       0.9       206      874       1.9      278
Montgomery, AL...........           6.4         132.3      -0.8       343      860       2.4      233
Shelby, AL...............           5.9          85.5       0.3       281      985       3.8       86
Tuscaloosa, AL...........           4.6          93.0       0.9       206      861       1.3      313
Anchorage, AK............           8.3         150.7      -0.8       343    1,105       3.9       77
Maricopa, AZ.............         100.0       1,950.6       2.8        44    1,016       3.0      172
Pima, AZ.................          19.0         364.3       1.6       129      884       3.8       86
Benton, AR...............           6.6         120.2       0.9       206    1,029       1.0      323

Pulaski, AR..............          14.4         251.8       0.3       281      922       1.5      301
Washington, AR...........           6.2         108.3       2.0        94      869       0.1      339
Alameda, CA..............          64.7         793.7       2.1        82    1,421       3.3      136
Butte, CA................           8.6          84.0       1.6       129      798       3.8       86
Contra Costa, CA.........          32.9         371.2       0.4       271    1,278       3.0      172
Fresno, CA...............          36.4         398.7       1.3       159      832       3.5      112
Kern, CA.................          19.7         327.5       1.0       193      869       3.1      160
Los Angeles, CA..........         497.6       4,442.1       1.3       159    1,177       4.0       69
Marin, CA................          12.5         117.7       0.8       219    1,422      11.7        1
Merced, CA...............           6.7          81.9       1.0       193      790       0.5      331

Monterey, CA.............          14.0         214.4       3.0        39      894       2.2      253
Napa, CA.................           5.9          81.4       1.7       118    1,036       2.7      204
Orange, CA...............         123.2       1,628.9       1.7       118    1,157       2.7      204
Placer, CA...............          13.3         169.6       3.5        19    1,042       3.1      160
Riverside, CA............          66.1         740.7       3.0        39      852       3.3      136
Sacramento, CA...........          59.2         667.5       2.6        55    1,136       3.0      172
San Bernardino, CA.......          60.4         749.4       2.8        44      883       2.3      244
San Diego, CA............         112.9       1,473.5       2.0        94    1,137       3.4      124
San Francisco, CA........          61.2         741.6       3.2        28    2,083       7.6        8
San Joaquin, CA..........          18.1         254.9       2.1        82      887       2.8      197

San Luis Obispo, CA......          10.5         120.1       0.5       257      910       4.7       32
San Mateo, CA............          28.5         405.3       1.7       118    2,357       9.0        4
Santa Barbara, CA........          15.5         205.2       1.6       129    1,028       4.7       32
Santa Clara, CA..........          73.6       1,106.1       2.3        72    2,573       8.2        6
Santa Cruz, CA...........           9.6         110.2      -0.2       323      983       4.0       69
Solano, CA...............          11.6         142.7       1.4       144    1,075       1.5      301
Sonoma, CA...............          20.3         212.7       1.8       110    1,015       4.2       59
Stanislaus, CA...........          16.0         192.1       1.9       103      884       2.9      185
Tulare, CA...............          10.8         170.5      -0.1       316      739       4.4       44
Ventura, CA..............          27.7         331.3       0.9       206    1,036       2.2      253

Yolo, CA.................           6.8         105.8       0.9       206    1,144       3.8       86
Adams, CO................          11.3         214.1       3.5        19    1,019       4.7       32
Arapahoe, CO.............          22.4         335.9       1.8       110    1,201       2.8      197
Boulder, CO..............          15.7         185.6       2.6        55    1,235       3.5      112
Denver, CO...............          33.4         524.6       3.1        34    1,269       4.7       32
Douglas, CO..............          12.4         128.2       1.9       103    1,170       3.0      172
El Paso, CO..............          20.3         279.0       2.0        94      936       4.1       66
Jefferson, CO............          20.6         242.1       2.0        94    1,082       3.3      136
Larimer, CO..............          12.5         165.6       3.1        34      931       4.3       50
Weld, CO.................           7.6         110.7       4.2         9      954       6.8        9

Fairfield, CT............          35.9         429.1      -0.3       331    1,488      -1.1      345
Hartford, CT.............          28.5         518.7       0.7       235    1,219       0.5      331
New Haven, CT............          24.7         371.7       0.4       271    1,071       0.5      331
New London, CT...........           7.7         127.9       0.5       257    1,007       0.9      325
New Castle, DE...........          20.2         291.6       1.2       176    1,143       1.0      323
Sussex, DE...............           7.0          86.8       2.1        82      748       2.6      216
Washington, DC...........          40.0         777.2       1.3       159    1,713       2.6      216
Alachua, FL..............           7.2         130.0       1.7       118      878       3.9       77
Bay, FL..................           5.6          80.8       2.2        76      772       2.0      268
Brevard, FL..............          16.0         214.1       3.3        27      946       1.5      301

Broward, FL..............          69.5         803.2       1.2       176      998       4.5       40
Collier, FL..............          14.3         139.4       2.5        63      927       5.7       17
Duval, FL................          29.7         513.7       2.6        55      980       2.0      268
Escambia, FL.............           8.1         134.9       1.4       144      810       3.3      136
Hillsborough, FL.........          43.1         674.6       1.6       129    1,002       3.6      104
Lake, FL.................           8.4          94.5       2.1        82      730       4.0       69
Lee, FL..................          22.3         253.4       2.6        55      864       4.2       59
Leon, FL.................           8.7         149.4       2.0        94      841       3.3      136
Manatee, FL..............          11.0         119.4       2.5        63      827       4.8       31
Marion, FL...............           8.4         102.3       1.4       144      740       3.5      112

Miami-Dade, FL...........          99.0       1,125.0       0.9       206    1,000       3.0      172
Okaloosa, FL.............           6.6          84.4       1.3       159      885       2.4      233
Orange, FL...............          43.0         841.3       3.5        19      919       1.9      278
Osceola, FL..............           7.2          92.3       3.5        19      731       2.1      261
Palm Beach, FL...........          56.8         597.9       0.8       219    1,015       1.2      317
Pasco, FL................          11.1         112.7       3.0        39      760       1.6      295
Pinellas, FL.............          33.4         434.5       1.9       103      913       2.8      197
Polk, FL.................          13.4         214.0       1.9       103      800       3.5      112
Sarasota, FL.............          16.1         168.3       2.7        48      871       3.4      124
Seminole, FL.............          15.1         193.1       3.2        28      917       2.9      185

Volusia, FL..............          14.5         169.2       1.5       138      770       2.4      233
Bibb, GA.................           4.3          82.7       0.5       257      806       4.1       66
Chatham, GA..............           8.0         156.0       1.6       129      887       3.1      160
Clayton, GA..............           4.0         122.9       2.8        44    1,022       1.3      313
Cobb, GA.................          21.8         365.1       1.8       110    1,067       0.4      335
DeKalb, GA...............          17.7         302.2       0.8       219    1,053       2.5      225
Fulton, GA...............          43.4         874.4       2.1        82    1,353       1.2      317
Gwinnett, GA.............          25.0         355.9       1.8       110      971       0.5      331
Hall, GA.................           4.5          87.9       1.3       159      906       5.5       21
Muscogee, GA.............           4.5          94.6       1.2       176      797       2.4      233

Richmond, GA.............           4.4         104.7       0.2       293      855       1.4      307
Honolulu, HI.............          26.0         474.7       0.2       293      994       1.9      278
Maui + Kalawao, HI.......           6.3          78.1       0.5       257      869       3.7       93
Ada, ID..................          16.2         246.5       3.9        16      921       3.7       93
Champaign, IL............           4.1          90.4       0.3       281      913       3.3      136
Cook, IL.................         138.7       2,626.3       0.9       206    1,220       3.2      150
DuPage, IL...............          34.7         628.3       0.1       303    1,160       1.6      295
Kane, IL.................          12.6         218.6      -0.5       335      930       2.5      225
Lake, IL.................          20.3         348.1      -0.1       316    1,411       9.3        2
McHenry, IL..............           7.8         100.7       0.2       293      856       3.5      112

McLean, IL...............           3.4          82.2      -2.0       349    1,002       9.0        4
Madison, IL..............           5.4         101.6       3.0        39      817       3.7       93
Peoria, IL...............           4.2         107.8       1.3       159    1,054       3.3      136
St. Clair, IL............           5.1          92.3      -0.5       335      818      -0.1      342
Sangamon, IL.............           4.8         131.7      -0.2       323    1,001       1.3      313
Will, IL.................          14.7         249.6       1.3       159      898       1.8      285
Winnebago, IL............           6.0         128.4      -0.1       316      869       3.2      150
Allen, IN................           8.9         189.7       1.7       118      858       3.5      112
Elkhart, IN..............           4.8         139.8       3.2        28      940       2.6      216
Hamilton, IN.............           9.5         144.7       2.4        69      978       2.5      225

Lake, IN.................          10.4         188.9       0.7       235      879       2.7      204
Marion, IN...............          24.2         599.7       0.1       303    1,048       2.0      268
St. Joseph, IN...........           5.8         124.2       0.2       293      852       3.1      160
Tippecanoe, IN...........           3.5          84.6       2.3        72      899       2.9      185
Vanderburgh, IN..........           4.8         109.4       1.3       159      826      -0.1      342
Johnson, IA..............           4.3          84.4       0.6       250      980       3.7       93
Linn, IA.................           6.9         133.7       0.7       235    1,008       3.9       77
Polk, IA.................          17.6         306.6       0.9       206    1,050       3.7       93
Scott, IA................           5.7          92.7      -0.1       316      842       3.8       86
Johnson, KS..............          23.6         352.2       2.0        94    1,068       2.9      185

Sedgwick, KS.............          12.6         250.8       1.2       176      882       2.7      204
Shawnee, KS..............           5.1          96.4      -0.1       316      900       6.3       13
Wyandotte, KS............           3.5          90.8       2.2        76    1,009       3.2      150
Boone, KY................           4.5          94.0       4.0        10      907       3.0      172
Fayette, KY..............          11.1         193.8       1.0       193      934       2.0      268
Jefferson, KY............          25.5         471.6       0.7       235    1,032       1.6      295
Caddo, LA................           7.3         112.1      -0.3       331      836       3.5      112
Calcasieu, LA............           5.4         102.6       4.0        10      926       5.0       28
East Baton Rouge, LA.....          15.9         263.6       0.8       219      989       3.6      104
Jefferson, LA............          14.1         189.8      -0.9       346      941       4.3       50

Lafayette, LA............           9.8         129.5       0.3       281      883       2.7      204
Orleans, LA..............          13.0         192.9      -0.1       316      967       4.2       59
St. Tammany, LA..........           8.5          89.0       1.6       129      878       3.7       93
Cumberland, ME...........          13.7         189.9       1.4       144      944       3.6      104
Anne Arundel, MD.........          15.2         276.8       0.9       206    1,118       2.8      197
Baltimore, MD............          21.3         382.5       0.2       293    1,039       3.7       93
Frederick, MD............           6.5         103.6       1.5       138      946       1.6      295
Harford, MD..............           5.8          95.9       1.4       144      989       4.4       44
Howard, MD...............          10.0         174.2       0.3       281    1,268       3.5      112
Montgomery, MD...........          32.9         478.4       0.3       281    1,392       4.0       69

Prince George's, MD......          16.1         320.3       0.0       310    1,112       4.3       50
Baltimore City, MD.......          13.6         345.5       1.1       186    1,222       3.4      124
Barnstable, MA...........           9.6         108.3      -0.6       340      893       2.9      185
Bristol, MA..............          18.0         232.8       0.2       293      975       2.3      244
Essex, MA................          26.6         334.2       0.8       219    1,163       6.6       10
Hampden, MA..............          18.8         210.5       0.5       257      916       2.1      261
Middlesex, MA............          56.0         934.8       1.7       118    1,571       3.4      124
Norfolk, MA..............          25.6         359.5       0.1       303    1,230       3.3      136
Plymouth, MA.............          16.3         200.4       0.7       235      999       0.1      339
Suffolk, MA..............          30.8         684.7       1.9       103    1,711       3.7       93

Worcester, MA............          26.1         354.0       0.7       235    1,039       2.9      185
Genesee, MI..............           6.8         136.5       0.3       281      861       3.1      160
Ingham, MI...............           6.0         150.6      -0.8       343    1,005       3.2      150
Kalamazoo, MI............           5.0         121.2       1.3       159      963       2.9      185
Kent, MI.................          14.6         411.6       3.4        25      900       1.7      289
Macomb, MI...............          17.6         339.5       1.5       138    1,042       3.4      124
Oakland, MI..............          39.4         750.3       0.8       219    1,168       3.3      136
Ottawa, MI...............           5.7         130.2       1.7       118      883       3.4      124
Saginaw, MI..............           3.9          84.0      -1.3       348      841       2.9      185
Washtenaw, MI............           8.2         210.6       1.5       138    1,126       3.0      172

Wayne, MI................          31.1         731.5       0.8       219    1,125       1.4      307
Anoka, MN................           7.5         128.0       2.6        55    1,018       3.2      150
Dakota, MN...............          10.4         191.4       0.0       310    1,041       3.8       86
Hennepin, MN.............          40.8         931.1       0.8       219    1,318       3.5      112
Olmsted, MN..............           3.6         100.8       0.8       219    1,122       4.3       50
Ramsey, MN...............          14.0         333.9       0.3       281    1,142       0.9      325
St. Louis, MN............           5.4         100.5       0.3       281      885       3.3      136
Stearns, MN..............           4.4          88.0       0.2       293      871       4.3       50
Washington, MN...........           5.9          89.8       2.5        63      910       2.5      225
Harrison, MS.............           4.6          86.4      -0.5       335      734       2.2      253

Hinds, MS................           5.8         120.5      -0.5       335      865       2.1      261
Boone, MO................           4.8          93.2      -0.2       323      835       1.7      289
Clay, MO.................           5.6         106.1       1.4       144      916       3.5      112
Greene, MO...............           8.9         167.2       0.8       219      822       4.3       50
Jackson, MO..............          21.9         373.6      -0.2       323    1,061       3.2      150
St. Charles, MO..........           9.5         149.4       0.0       310      847       3.5      112
St. Louis, MO............          39.0         612.0       0.7       235    1,137       7.8        7
St. Louis City, MO.......          14.6         230.2       0.3       281    1,108       1.3      313
Yellowstone, MT..........           6.7          82.5      -0.2       323      901       3.0      172
Douglas, NE..............          19.1         342.1       0.4       271      960       2.7      204

Lancaster, NE............          10.4         172.1       1.6       129      847       3.0      172
Clark, NV................          55.4         992.6       2.7        48      916       3.3      136
Washoe, NV...............          14.7         222.5       2.3        72      944       4.1       66
Hillsborough, NH.........          12.2         206.7       0.8       219    1,127       4.2       59
Merrimack, NH............           5.2          78.3       0.2       293      987       4.7       32
Rockingham, NH...........          11.0         153.4       0.5       257    1,030       2.0      268
Atlantic, NJ.............           6.6         135.3       2.2        76      903       5.6       20
Bergen, NJ...............          33.3         452.3       0.8       219    1,197       1.2      317
Burlington, NJ...........          11.1         205.1       0.2       293    1,070       1.4      307
Camden, NJ...............          12.2         209.2      -0.1       316    1,013       1.8      285

Essex, NJ................          20.7         347.6       0.4       271    1,263       2.5      225
Gloucester, NJ...........           6.4         112.6       2.6        55      890       2.1      261
Hudson, NJ...............          15.2         265.4       0.3       281    1,408       4.7       32
Mercer, NJ...............          11.2         257.8       0.5       257    1,287       1.8      285
Middlesex, NJ............          22.5         432.6       1.0       193    1,199       1.4      307
Monmouth, NJ.............          20.3         274.4       0.6       250    1,019       3.1      160
Morris, NJ...............          17.1         300.8       1.0       193    1,496      -2.4      347
Ocean, NJ................          13.5         179.6       1.7       118      826       2.6      216
Passaic, NJ..............          12.7         168.7       0.3       281    1,018       2.0      268
Somerset, NJ.............          10.3         193.1       0.8       219    1,549       6.2       14

Union, NJ................          14.5         230.5       1.3       159    1,271       3.9       77
Bernalillo, NM...........          18.9         329.4       0.5       257      886       2.3      244
Albany, NY...............          10.4         235.5       0.4       271    1,138       4.2       59
Bronx, NY................          19.2         322.2       1.2       176    1,058       2.3      244
Broome, NY...............           4.5          87.9       0.7       235      866       3.7       93
Dutchess, NY.............           8.4         114.5       0.7       235    1,038       1.4      307
Erie, NY.................          24.7         475.0       0.4       271      949       3.2      150
Kings, NY................          64.2         772.5       2.5        63      918       2.2      253
Monroe, NY...............          19.0         391.6       0.0       310      996       3.1      160
Nassau, NY...............          54.3         647.2       0.5       257    1,175       2.5      225

New York, NY.............         128.9       2,474.7       0.7       235    2,025       4.4       44
Oneida, NY...............           5.3         107.4       0.1       303      833       2.6      216
Onondaga, NY.............          12.9         249.4       0.5       257      984       3.7       93
Orange, NY...............          10.5         148.5       1.8       110      941       4.0       69
Queens, NY...............          54.0         708.1       2.1        82    1,062       3.9       77
Richmond, NY.............          10.0         124.0       1.4       144      997       3.4      124
Rockland, NY.............          11.0         129.3       2.0        94    1,016       2.6      216
Saratoga, NY.............           6.0          92.7       2.7        48      995       4.3       50
Suffolk, NY..............          53.4         688.3       0.1       303    1,134       3.4      124
Westchester, NY..........          36.4         441.9       0.9       206    1,353       1.4      307

Buncombe, NC.............           9.3         132.8       3.2        28      805       2.7      204
Cabarrus, NC.............           4.8          77.3       2.0        94      760       1.7      289
Catawba, NC..............           4.4          88.7       1.0       193      812       2.4      233
Cumberland, NC...........           6.2         120.9       1.4       144      820       3.4      124
Durham, NC...............           8.5         204.4       2.7        48    1,256       1.8      285
Forsyth, NC..............           9.2         187.1       2.4        69      928       0.9      325
Guilford, NC.............          14.4         281.1       0.8       219      906       1.7      289
Mecklenburg, NC..........          38.5         698.8       2.5        63    1,201       4.4       44
New Hanover, NC..........           8.4         116.0       2.1        82      829      -6.4      349
Pitt, NC.................           3.8          77.5       3.1        34      824       2.0      268

Wake, NC.................          35.2         568.9       3.2        28    1,100       5.1       25
Cass, ND.................           7.3         118.7      -0.2       323      951       3.7       93
Butler, OH...............           7.8         155.4       1.2       176      903       0.4      335
Cuyahoga, OH.............          35.8         732.7       0.5       257    1,059       2.9      185
Delaware, OH.............           5.4          90.7       1.1       186      988       2.4      233
Franklin, OH.............          32.3         758.5       1.5       138    1,029       1.6      295
Hamilton, OH.............          23.8         524.3       0.5       257    1,105       3.0      172
Lake, OH.................           6.3          97.7       0.5       257      858       2.8      197
Lorain, OH...............           6.2         100.5       1.1       186      809       2.3      244
Lucas, OH................          10.1         210.1       1.3       159      869       2.7      204

Mahoning, OH.............           5.9          99.1       1.7       118      735       2.2      253
Montgomery, OH...........          11.8         255.7       0.2       293      897       3.6      104
Stark, OH................           8.6         162.2       1.1       186      778       2.0      268
Summit, OH...............          14.3         268.9      -0.3       331      918       3.4      124
Warren, OH...............           5.1          97.5       2.1        82      914       1.9      278
Cleveland, OK............           5.9          80.3       0.9       206      777       3.9       77
Oklahoma, OK.............          28.2         457.2       1.4       144      979       3.1      160
Tulsa, OK................          22.6         358.3       1.3       159      942       3.0      172
Clackamas, OR............          15.4         168.1       1.1       186    1,007      -2.0      346
Deschutes, OR............           8.9          85.1       3.1        34      860       1.5      301

Jackson, OR..............           7.7          90.6       2.6        55      800       1.1      320
Lane, OR.................          12.4         158.0       0.4       271      836       2.7      204
Marion, OR...............          11.2         159.6       2.0        94      888       3.9       77
Multnomah, OR............          35.7         513.5       1.4       144    1,109       3.4      124
Washington, OR...........          19.7         297.7       1.3       159    1,344       6.6       10
Allegheny, PA............          35.7         709.8       1.0       193    1,127       4.3       50
Berks, PA................           9.0         174.9       1.2       176      954       2.7      204
Bucks, PA................          20.1         272.0       1.4       144      975       2.6      216
Butler, PA...............           5.1          87.0      -0.2       323      968       2.3      244
Chester, PA..............          15.7         254.2       1.2       176    1,350       1.7      289

Cumberland, PA...........           6.6         135.2       0.7       235      968       3.5      112
Dauphin, PA..............           7.6         188.3       1.9       103    1,013       1.6      295
Delaware, PA.............          14.3         227.2       1.4       144    1,094       2.8      197
Erie, PA.................           7.0         123.7       0.0       310      793       3.0      172
Lackawanna, PA...........           5.7          98.9       0.5       257      807       2.9      185
Lancaster, PA............          13.7         245.3       2.1        82      860       2.4      233
Lehigh, PA...............           8.9         196.0       1.8       110      989       1.1      320
Luzerne, PA..............           7.4         146.6       0.1       303      833       4.5       40
Montgomery, PA...........          27.8         502.6       1.0       193    1,246       3.3      136
Northampton, PA..........           6.8         115.6       0.7       235      897       2.5      225

Philadelphia, PA.........          35.0         687.3       2.2        76    1,197       2.4      233
Washington, PA...........           5.5          89.9       1.0       193    1,011       1.9      278
Westmoreland, PA.........           9.3         136.0       0.4       271      845       3.6      104
York, PA.................           9.3         180.4       1.3       159      921       3.1      160
Kent, RI.................           5.5          77.2       0.4       271      906       0.9      325
Providence, RI...........          18.5         289.3       0.7       235    1,033       1.7      289
Charleston, SC...........          16.1         258.9       4.0        10      918       0.4      335
Greenville, SC...........          14.7         278.0       3.7        17      910       0.8      329
Horry, SC................           9.3         139.4       2.1        82      625       0.3      338
Lexington, SC............           6.9         121.0       4.0        10      778       0.0      341

Richland, SC.............          10.6         224.0       1.0       193      870       2.0      268
Spartanburg, SC..........           6.5         142.7       4.0        10      862      -2.9      348
York, SC.................           6.1          98.3       5.2         2      834       0.8      329
Minnehaha, SD............           7.3         128.8       1.0       193      896       2.3      244
Davidson, TN.............          23.3         498.9       2.7        48    1,081       2.4      233
Hamilton, TN.............           9.9         206.4       1.6       129      923       3.6      104
Knox, TN.................          12.6         239.2       0.9       206      923       5.1       25
Rutherford, TN...........           5.8         129.4       2.7        48      937       1.1      320
Shelby, TN...............          20.8         501.1       1.1       186    1,036       2.7      204
Williamson, TN...........           9.0         135.9       4.3         8    1,191       6.1       15

Bell, TX.................           5.5         118.5      -0.6       340      900       3.2      150
Bexar, TX................          41.7         866.2       1.5       138      942       3.3      136
Brazoria, TX.............           5.9         113.2       3.2        28    1,094       1.5      301
Brazos, TX...............           4.6         101.5       3.6        18      794       4.3       50
Cameron, TX..............           6.5         139.3       0.8       219      642       4.4       44
Collin, TX...............          25.6         417.5       3.5        19    1,236       5.7       17
Dallas, TX...............          77.5       1,710.0       1.8       110    1,246       2.5      225
Denton, TX...............          15.3         247.5       2.2        76      955       3.1      160
El Paso, TX..............          15.2         303.7       1.1       186      733       2.4      233
Fort Bend, TX............          13.6         190.5       5.0         3      958       2.6      216

Galveston, TX............           6.2         110.9       1.4       144      905      -0.4      344
Harris, TX...............         115.0       2,309.3       1.3       159    1,269       3.1      160
Hidalgo, TX..............          12.5         260.9       2.1        82      645       2.4      233
Jefferson, TX............           5.8         124.0       0.4       271    1,063       4.0       69
Lubbock, TX..............           7.6         139.6       0.9       206      842       5.3       23
McLennan, TX.............           5.3         113.4       0.7       235      886       6.6       10
Midland, TX..............           5.7         103.7      11.6         1    1,377       4.2       59
Montgomery, TX...........          11.6         186.7       4.8         6    1,050       4.5       40
Nueces, TX...............           8.3         164.8      -0.2       323      892       3.6      104
Potter, TX...............           4.0          77.6       0.0       310      860       3.9       77

Smith, TX................           6.4         103.6       1.3       159      858       4.9       30
Tarrant, TX..............          43.9         900.6       1.9       103    1,038       3.0      172
Travis, TX...............          41.5         751.7       3.0        39    1,226       3.3      136
Webb, TX.................           5.5         101.2       1.0       193      687       3.2      150
Williamson, TX...........          11.2         174.6       4.0        10    1,012       2.0      268
Davis, UT................           8.7         132.0       2.2        76      871       3.1      160
Salt Lake, UT............          46.0         704.9       3.1        34    1,010       4.4       44
Utah, UT.................          16.7         242.4       4.8         6      859       5.7       17
Weber, UT................           6.2         105.9       2.6        55      791       3.8       86
Chittenden, VT...........           6.9         103.0      -0.5       335    1,023       4.6       39

Arlington, VA............           9.2         180.0       0.6       250    1,653       2.9      185
Chesterfield, VA.........           9.3         139.0       0.6       250      881       2.1      261
Fairfax, VA..............          37.3         619.8       1.4       144    1,577       2.2      253
Henrico, VA..............          11.8         194.3       1.0       193      982       2.3      244
Loudoun, VA..............          12.6         171.8       1.7       118    1,191       1.9      278
Prince William, VA.......           9.4         133.6       2.1        82      925       4.5       40
Alexandria City, VA......           6.3          93.5      -0.4       334    1,416       2.2      253
Chesapeake City, VA......           6.1         102.4       1.3       159      829       2.1      261
Newport News City, VA....           3.9         102.9       5.0         3      994       2.1      261
Norfolk City, VA.........           6.0         143.9       0.6       250    1,064       2.3      244

Richmond City, VA........           7.8         155.0       0.8       219    1,115       2.6      216
Virginia Beach City, VA..          12.3         183.0      -0.7       342      808       3.9       77
Benton, WA...............           5.8          95.4       2.3        72    1,022       1.5      301
Clark, WA................          14.9         163.4       3.4        25    1,003       5.1       25
King, WA.................          89.2       1,405.6       2.5        63    1,605       9.3        2
Kitsap, WA...............           6.7          91.0       2.4        69    1,016       4.0       69
Pierce, WA...............          22.6         313.3       2.7        48      978       5.2       24
Snohomish, WA............          21.5         290.2       1.6       129    1,149       4.2       59
Spokane, WA..............          16.2         226.7       1.8       110      909       4.7       32
Thurston, WA.............           8.4         117.7       3.5        19      989       5.8       16

Whatcom, WA..............           7.3          92.9       2.8        44      908       5.5       21
Yakima, WA...............           7.8         128.5       5.0         3      737       3.2      150
Kanawha, WV..............           5.7          99.5      -1.2       347      896       2.2      253
Brown, WI................           7.1         161.6       0.7       235      900       4.0       69
Dane, WI.................          16.0         339.3       1.2       176    1,040       3.6      104
Milwaukee, WI............          27.1         493.3       0.6       250      987       1.9      278
Outagamie, WI............           5.4         111.1       1.2       176      892       3.4      124
Waukesha, WI.............          13.3         249.2       0.6       250    1,029       2.8      197
Winnebago, WI............           3.9          94.8       0.1       303      969       5.0       28
San Juan, PR.............          10.4         241.4       0.2       (5)      668       6.9      (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 349 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 2018

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter
         County by NAICS supersector                2018                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2018       June     quarter  second
                                                              (thousands) 2017-18(2)   2018    quarter
                                                                                             2017-18(2)


United States(3) ............................      10,048.0     147,431.2       1.5   $1,055       3.4
  Private industry...........................       9,748.2     125,712.2       1.7    1,045       3.5
    Natural resources and mining.............         137.9       2,065.1       2.9    1,075       5.7
    Construction.............................         807.3       7,407.6       3.7    1,159       3.7
    Manufacturing............................         350.4      12,717.5       1.6    1,264       2.2
    Trade, transportation, and utilities.....       1,923.2      27,365.7       1.0      891       3.6
    Information..............................         169.4       2,823.9       0.4    2,055       9.1
    Financial activities.....................         889.8       8,230.6       1.0    1,589       3.4
    Professional and business services.......       1,830.5      20,939.2       1.8    1,365       3.3
    Education and health services............       1,697.7      22,519.3       1.7      951       2.6
    Leisure and hospitality..................         856.3      16,797.5       1.2      449       4.2
    Other services...........................         851.1       4,574.8       1.3      725       3.4
  Government.................................         299.7      21,718.9       0.4    1,113       2.7

Los Angeles, CA..............................         497.6       4,442.1       1.3    1,177       4.0
  Private industry...........................         491.3       3,859.4       1.4    1,149       4.4
    Natural resources and mining.............           0.5           6.8     -18.7    1,064       8.0
    Construction.............................          15.2         144.3       3.3    1,243       5.3
    Manufacturing............................          12.3         341.7      -2.4    1,358       4.5
    Trade, transportation, and utilities.....          55.4         826.6       0.1      958       3.1
    Information..............................          10.6         188.0       2.3    2,427       9.1
    Financial activities.....................          27.6         221.4      -0.1    1,876       6.0
    Professional and business services.......          50.8         610.3       1.2    1,482       3.8
    Education and health services............         237.2         801.7       2.4      881       3.0
    Leisure and hospitality..................          34.5         535.1       1.1      681       8.4
    Other services...........................          27.1         151.9       0.0      775       3.5
  Government.................................           6.3         582.7       0.2    1,367       2.5

Cook, IL.....................................         138.7       2,626.3       0.9    1,220       3.2
  Private industry...........................         137.5       2,326.8       1.0    1,208       3.2
    Natural resources and mining.............           0.1           1.3       0.8    1,168      -0.4
    Construction.............................          10.9          79.6       3.7    1,457       2.1
    Manufacturing............................           5.8         185.3       0.6    1,249       0.9
    Trade, transportation, and utilities.....          28.2         472.0       0.5    1,003       3.1
    Information..............................           2.4          51.5      -2.0    1,936       8.3
    Financial activities.....................          14.0         200.3       1.6    2,122       2.5
    Professional and business services.......          29.1         480.3       0.9    1,567       4.7
    Education and health services............          15.5         450.2       1.5      987       2.6
    Leisure and hospitality..................          13.8         303.2       0.8      558       3.9
    Other services...........................          15.8         102.2       2.4      937      -0.1
  Government.................................           1.3         299.5       0.2    1,319       3.3

New York, NY.................................         128.9       2,474.7       0.7    2,025       4.4
  Private industry...........................         127.5       2,245.0       0.8    2,066       4.5
    Natural resources and mining.............           0.0           0.2      14.1    1,993       3.2
    Construction.............................           2.4          43.6       4.6    1,924       3.8
    Manufacturing............................           2.0          24.0      -3.5    1,502       5.1
    Trade, transportation, and utilities.....          19.3         252.6      -1.3    1,495      10.4
    Information..............................           5.0         174.1       1.5    2,766       9.9
    Financial activities.....................          19.5         385.7       1.9    3,665       2.1
    Professional and business services.......          27.4         597.2       0.9    2,277       3.5
    Education and health services............          10.2         345.0       0.7    1,396       4.6
    Leisure and hospitality..................          14.8         312.9       0.2      906       4.3
    Other services...........................          20.4         105.6       0.3    1,216      -2.3
  Government.................................           1.4         229.7      -0.2    1,633       3.1

Harris, TX...................................         115.0       2,309.3       1.3    1,269       3.1
  Private industry...........................         114.4       2,035.0       1.4    1,286       3.2
    Natural resources and mining.............           1.6          66.1      -0.5    3,065       4.6
    Construction.............................           7.6         160.9       1.3    1,361       3.0
    Manufacturing............................           4.8         175.1       3.0    1,613       3.7
    Trade, transportation, and utilities.....          24.8         469.3       1.4    1,154       3.0
    Information..............................           1.2          26.3      -3.5    1,447       4.4
    Financial activities.....................          12.2         128.6       0.7    1,634       0.4
    Professional and business services.......          23.2         403.3       1.4    1,594       4.3
    Education and health services............          16.1         294.7       1.1    1,044       1.4
    Leisure and hospitality..................          10.2         240.3       1.6      477       5.8
    Other services...........................          11.7          67.9       1.3      820       2.0
  Government.................................           0.6         274.3       0.9    1,149       2.3

Maricopa, AZ.................................         100.0       1,950.6       2.8    1,016       3.0
  Private industry...........................          99.2       1,764.6       3.0    1,004       3.0
    Natural resources and mining.............           0.4           8.5       1.3      944       5.2
    Construction.............................           7.7         120.8       7.1    1,087       4.7
    Manufacturing............................           3.3         123.4       3.6    1,486       4.4
    Trade, transportation, and utilities.....          19.0         381.3       2.9      927       2.8
    Information..............................           1.6          37.1      -0.4    1,359       0.4
    Financial activities.....................          11.9         180.3       2.5    1,319       5.0
    Professional and business services.......          22.5         332.2       2.1    1,078       1.6
    Education and health services............          11.7         303.0       3.1      982       0.6
    Leisure and hospitality..................           8.4         219.5       2.6      503       5.9
    Other services...........................           6.7          54.0       2.8      752       5.3
  Government.................................           0.7         186.1       0.5    1,114       3.5

Dallas, TX...................................          77.5       1,710.0       1.8    1,246       2.5
  Private industry...........................          77.0       1,537.0       2.0    1,251       2.5
    Natural resources and mining.............           0.5           8.5      15.2    3,488       3.2
    Construction.............................           4.7          90.9       2.5    1,262       2.9
    Manufacturing............................           2.8         113.3       2.0    1,437       1.3
    Trade, transportation, and utilities.....          15.8         348.2       2.7    1,085       3.4
    Information..............................           1.4          49.6      -1.7    1,836      -0.8
    Financial activities.....................           9.7         164.1      -0.9    1,715      -0.1
    Professional and business services.......          17.7         351.3       3.0    1,463       3.6
    Education and health services............           9.6         199.1       1.4    1,129       1.6
    Leisure and hospitality..................           6.9         165.6       2.2      517       5.7
    Other services...........................           7.0          44.4       0.7      895      12.6
  Government.................................           0.6         173.0       0.4    1,200       2.6

Orange, CA...................................         123.2       1,628.9       1.7    1,157       2.7
  Private industry...........................         121.7       1,472.0       1.8    1,142       2.7
    Natural resources and mining.............           0.2           2.5      -6.5      909       1.9
    Construction.............................           7.1         105.2       3.9    1,367       4.2
    Manufacturing............................           5.1         158.4      -1.4    1,486       6.3
    Trade, transportation, and utilities.....          17.4         256.8       0.2    1,023       3.2
    Information..............................           1.4          26.3      -1.2    2,027       6.2
    Financial activities.....................          12.0         118.0      -0.5    1,764       3.0
    Professional and business services.......          21.6         308.6       2.5    1,344      -0.2
    Education and health services............          35.3         215.9       3.1      941       3.3
    Leisure and hospitality..................           8.9         222.8       1.1      512       3.9
    Other services...........................           6.9          47.0       0.6      724       1.4
  Government.................................           1.5         156.9       1.0    1,302       2.7

San Diego, CA................................         112.9       1,473.5       2.0    1,137       3.4
  Private industry...........................         110.9       1,234.6       2.2    1,096       3.7
    Natural resources and mining.............           0.7          10.0       6.4      764       6.6
    Construction.............................           7.4          84.3       5.7    1,204       2.8
    Manufacturing............................           3.3         112.0       2.5    1,508       1.1
    Trade, transportation, and utilities.....          14.6         221.3       0.6      857       3.0
    Information..............................           1.2          23.8      -2.7    2,087      12.7
    Financial activities.....................          10.5          75.1       0.2    1,486       3.3
    Professional and business services.......          19.2         244.2       3.2    1,574       4.0
    Education and health services............          32.9         201.1       1.4      952       2.8
    Leisure and hospitality..................           8.5         202.6       1.2      522       4.4
    Other services...........................           7.4          51.7      -1.6      639       2.2
  Government.................................           2.0         238.9       0.6    1,350       2.8

King, WA.....................................          89.2       1,405.6       2.5    1,605       9.3
  Private industry...........................          88.6       1,233.6       2.7    1,638       9.9
    Natural resources and mining.............           0.4           3.1      -3.2    1,412      13.0
    Construction.............................           6.8          74.1       4.2    1,406       5.5
    Manufacturing............................           2.5         102.2      -0.3    1,660       2.2
    Trade, transportation, and utilities.....          14.1         271.4       2.4    1,886      16.7
    Information..............................           2.4         111.4       7.6    3,384      13.4
    Financial activities.....................           6.8          70.7       3.5    1,705       4.0
    Professional and business services.......          18.3         230.6       2.3    1,801       8.5
    Education and health services............          20.4         176.1       2.2    1,076       4.6
    Leisure and hospitality..................           7.4         147.6       2.6      597       3.1
    Other services...........................           9.3          46.4       2.1      904       3.2
  Government.................................           0.5         171.9       0.6    1,370       3.9

Miami-Dade, FL...............................          99.0       1,125.0       0.9    1,000       3.0
  Private industry...........................          98.7         999.0       0.9      977       2.8
    Natural resources and mining.............           0.5           8.3       4.6      671       7.4
    Construction.............................           6.9          50.5       3.4      963       3.9
    Manufacturing............................           2.8          40.3       0.0      888       3.4
    Trade, transportation, and utilities.....          24.9         284.1       1.2      925       2.9
    Information..............................           1.6          18.5       0.2    1,678      -1.2
    Financial activities.....................          10.7          75.5       0.1    1,532       2.3
    Professional and business services.......          22.4         162.3       2.2    1,170       3.5
    Education and health services............          10.8         178.7       0.6      985       1.3
    Leisure and hospitality..................           7.4         140.1      -1.4      608       4.6
    Other services...........................           8.4          39.3      -0.8      651       5.3
  Government.................................           0.3         126.0       0.7    1,168       3.7

(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 2017 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 2018

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2018                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2018       June    quarter  second
                                            (thousands)   2017-18    2018   quarter
                                                                            2017-18


United States(2)...........      10,048.0     147,431.2       1.5   $1,055      3.4

Alabama....................         127.2       1,969.9       1.2      882      2.8
Alaska.....................          22.1         335.8      -0.9    1,043      3.7
Arizona....................         163.5       2,770.8       2.6      973      3.3
Arkansas...................          90.5       1,214.6       0.7      824      1.7
California.................       1,559.5      17,473.1       1.9    1,265      4.6
Colorado...................         204.9       2,704.4       2.4    1,075      3.2
Connecticut................         120.8       1,704.5       0.3    1,218      0.1
Delaware...................          32.6         454.3       1.3    1,023      1.4
District of Columbia.......          40.0         777.3       1.3    1,713      2.6
Florida....................         688.9       8,568.9       2.1      931      2.9

Georgia....................         278.7       4,440.5       2.0      979      2.3
Hawaii.....................          42.7         658.3       0.5      956      2.5
Idaho......................          62.5         745.3       3.1      794      3.8
Illinois...................         375.1       6,061.1       0.8    1,097      3.4
Indiana....................         167.6       3,075.8       1.1      883      2.8
Iowa.......................         102.8       1,583.7       0.8      880      3.3
Kansas.....................          89.0       1,393.3       1.0      879      3.4
Kentucky...................         123.2       1,905.9       0.9      882      2.3
Louisiana..................         133.1       1,918.6       0.4      901      3.7
Maine......................          53.3         636.8       1.0      843      3.6

Maryland...................         172.4       2,712.0       0.7    1,141      3.4
Massachusetts..............         259.0       3,650.1       1.0    1,322      3.5
Michigan...................         246.8       4,424.7       1.3      997      2.9
Minnesota..................         177.1       2,925.6       0.8    1,072      3.3
Mississippi................          74.2       1,130.7       0.2      752      2.7
Missouri...................         203.4       2,829.0       0.5      924      3.9
Montana....................          49.6         478.7       1.1      817      2.5
Nebraska...................          72.7         990.8       0.6      859      3.1
Nevada.....................          81.9       1,372.4       3.1      931      3.3
New Hampshire..............          52.7         670.8       0.8    1,049      3.3

New Jersey.................         274.2       4,157.0       0.9    1,201      2.3
New Mexico.................          59.7         823.6       1.0      852      3.5
New York...................         650.3       9,579.2       1.7    1,297      4.5
North Carolina.............         278.9       4,450.2       2.2      933      3.3
North Dakota...............          31.9         426.1       0.8      986      3.4
Ohio.......................         296.8       5,461.3       0.7      933      2.3
Oklahoma...................         110.9       1,606.4       1.2      875      3.2
Oregon.....................         155.8       1,947.3       1.5      999      3.3
Pennsylvania...............         359.9       5,924.9       1.1    1,031      3.1
Rhode Island...............          37.9         491.0       0.7      998      1.7

South Carolina.............         135.9       2,126.5       3.4      833      0.0
South Dakota...............          33.6         439.7       0.9      807      2.8
Tennessee..................         161.7       2,994.1       1.6      932      2.9
Texas......................         687.2      12,326.3       2.2    1,062      3.4
Utah.......................         103.1       1,483.9       3.4      899      4.3
Vermont....................          25.6         312.4      -0.8      907      4.3
Virginia...................         277.4       3,941.0       1.3    1,073      2.6
Washington.................         247.5       3,444.1       2.7    1,218      6.9
West Virginia..............          50.9         702.9       1.6      868      4.8
Wisconsin..................         174.9       2,933.5       0.9      904      3.3

Wyoming....................          26.3         282.2       0.5      901      3.0

Puerto Rico................          44.3         853.5      -2.3      543      5.2
Virgin Islands.............           3.4          33.4     -14.4      838     12.8

(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 21, 2018