Technical information: (202) 691-6567

http://www.bls.gov/cew/

Media contact: 691-5902

USDL 05-31

For release: 10:00 A.M. EST

Tuesday, January 11, 2005

COUNTY EMPLOYMENT AND WAGES: SECOND QUARTER 2004

In June 2004, Rutherford County, Tenn., had the largest over-the-year percentage increase in

employment among the largest counties in the U.S., according to preliminary data released today by the

Bureau of Labor Statistics of the U.S. Department of Labor. Rutherford County experienced an over-theyear employment gain of 8.5 percent, compared with national job growth of 1.2 percent. Suffolk County,

Mass., had the largest over-the-year gain in average weekly wages in the second quarter of 2004, with an

increase of 11.8 percent. The U.S. average weekly wage increased by 3.1 percent over the same time span.

Of the 317 largest counties in the United States, 155 had over-the-year percentage growth in

employment above the national average in June 2004, and 146 experienced changes below the national

average. (See chart 1.) Average weekly wages grew faster than the national average in 139 of the largest

U.S. counties, while the percent change in average weekly wages was below the national average in 163

counties. (See chart 2.)

The employment and average weekly wage data by county are compiled under the Quarterly Census of

Employment and Wages (QCEW) program, also known as the ES-202 program. The data are derived from

reports submitted by every employer subject to unemployment insurance (UI) laws. The 8.4 million employer

reports cover 130.6 million full- and part-time workers. The attached tables and charts contain data for the

nation and for the 317 U.S. counties with annual average employment levels of 75,000 or more in 2003. In

addition, data for San Juan, Puerto Rico, are provided, but not used in calculating U.S. averages, or in the

analysis in the text. (See Technical Note.) June 2004 employment and 2004 second-quarter average

weekly wages for all states are provided in table 4 of this release. Data for all states, metropolitan statistical

areas, counties, and the nation through the first quarter of 2004 are available on the BLS Web site at http://

www.bls.gov/cew/. Preliminary data for the second quarter of 2004 will be available in January on the BLS

Web site.

Large County Employment

In June 2004, national employment, as measured by the QCEW program, was 130.6 million, up 1.2

percent from June 2003. The 317 U.S. counties with 75,000 or more employees accounted for 70.3 percent of total U.S. covered employment and 76.2 percent of total covered wages. These 317 counties had

a net job gain of 986,400 over the year, accounting for 63.5 percent of the U.S. employment increase. Employment increased in 237 of the large counties from June 2003 to June 2004. Rutherford County, Tenn.,

had the largest over-the-year percentage increase in employment (8.5 percent). Elkhart County, Ind., had

the next largest increase, 7.6 percent, followed by the counties of Clark, Nev. (7.3 percent), Prince William,

Va. (6.9 percent), and Collin, Texas (6.8 percent). (See table 1.)
2

Table A. Top 10 counties ranked by June 2004 employment, June 2003-04 employment change,

and June 2003-04 percent change in employment

Los Angeles, Calif. 4,063.4 Orange, Calif. 55.5 Rutherford, Tenn. 8.5

Cook, Ill. 2,522.9 Clark, Nev. 55.0 Elkhart, Ind. 7.6

New York, N.Y. 2,225.0 Maricopa, Ariz. 47.0 Clark, Nev. 7.3

Harris, Texas 1,839.4 Los Angeles, Calif. 32.5 Prince William, Va. 6.9

Maricopa, Ariz. 1,599.1 Riverside, Calif. 29.4 Collin, Texas 6.8

Orange, Calif. 1,479.1 Orange, Fla. 24.8 Lee, Fla. 6.0

Dallas, Texas 1,431.1 Hillsborough, Fla. 24.1 Seminole, Fla. 5.8

San Diego, Calif. 1,281.5 San Bernardino, Calif. 24.1 Utah, Utah 5.7

King, Wash. 1,099.4 Fairfax, Va. 23.8 Riverside, Calif. 5.4

Miami-Dade, Fla. 981.6 San Diego, Calif. 22.4 Marion, Fla. 5.1

Employment in large counties

 June 2004 employment

 (thousands)

 Net change in employment,

 June 2003-04

 (thousands)

Percent change in employment,

 June 2003-04

U.S. 130,638.4 U.S. 1,554.4 U.S. 1.2

Employment declined in 65 counties from June 2003 to June 2004. The largest percentage decline in

employment was in Trumbull County, Ohio (-3.4 percent), followed by the counties of St. Louis City, Mo.

(-2.6 percent), Anchorage Borough, Alaska, and Santa Cruz, Calif. (-2.2 percent each), and Baltimore City,

Md., and Wayne, Mich. (-2.1 percent each).

The largest gains in employment from June 2003 to June 2004 were recorded in the counties of Orange,

Calif. (55,500), Clark, Nev. (55,000), Maricopa, Ariz. (47,000), Los Angeles, Calif. (32,500), and

Riverside, Calif. (29,400). (See table A.)

The largest absolute declines in employment occurred in Wayne County, Mich. (-17,200), followed by

the counties of Philadelphia, Pa. (-10,600), Oakland, Mich. (-10,200), Alameda, Calif., and Middlesex,

Mass. (-8,600 each).

Large County Average Weekly Wages

The national average weekly wage in the second quarter of 2004 was $724. Average weekly wages

were higher than the national average in 113 of the largest 317 U.S. counties. New York County, N.Y.,

held the top position among the highest-paid large counties with an average weekly wage of $1,300. Santa

Clara County, Calif., was second with an average weekly wage of $1,288, followed by Washington, D.C.

($1,189), Arlington, Va. ($1,170), and Suffolk, Mass. ($1,163). (See table B.)

There were 200 counties with an average weekly wage below the national average in the second quarter

of 2004. The lowest average weekly wages were reported in Cameron County, Texas ($452), followed by

the counties of Hidalgo, Texas ($457), Horry, S.C. ($476), Webb, Texas ($486), and Yakima, Wash.

($491). (See table 1.)

Over the year, national average weekly wages rose by 3.1 percent. Among the largest counties, Suffolk

County, Mass., led the nation in growth in average weekly wages, with an increase of 11.8 percent from the
3

New York, N.Y. $1,300 Suffolk, Mass. $123 Suffolk, Mass. 11.8

Santa Clara, Calif. 1,288 Arlington, Va. 78 Pierce, Wash. 9.8

Washington, D.C. 1,189 Pierce, Wash. 63 Lee, Fla. 9.6

Arlington, Va. 1,170 Santa Clara, Calif. 63 Spartanburg, S.C. 8.7

Suffolk, Mass. 1,163 Lee, Fla. 57 Rock Island, Ill. 8.5

San Mateo, Calif. 1,147 Middlesex, Mass. 57 Okaloosa, Fla. 7.3

Fairfield, Conn. 1,110 Rock Island, Ill. 57 Arlington, Va. 7.1

San Francisco, Calif. 1,100 Spartanburg, S.C. 55 Riverside, Calif. 7.1

Somerset, N.J. 1,093 Westchester, N.Y. 54 Benton, Ark. 6.9

Fairfax, Va. 1,085 Washington, Ore. 52 Elkhart, Ind. 6.8

U.S. $724 U.S. $22 U.S. 3.1

Average weekly wage in large counties

 Average weekly wage,

 second quarter 2004

Percent change in average

 weekly wage, second

 quarter 2003-04

 Change in average weekly

 wage, second quarter 2003-04

Table B. Top 10 counties ranked by second quarter 2004 average weekly wages, second quarter

2003-04 change in average weekly wages, and second quarter 2003-04 percent change in average

weekly wages

second quarter of 2003. Pierce County, Wash., was second with 9.8 percent growth, followed by the

counties of Lee, Fla. (9.6 percent), Spartanburg, S.C. (8.7 percent), and Rock Island, Ill. (8.5 percent).

Twelve counties experienced over-the-year declines in average weekly wages. Somerset County, N.J.,

had the largest decrease, -5.2 percent, followed by the counties of Olmsted, Minn. (-3.3 percent),

Williamson, Texas (-2.7 percent), King, Wash. (-2.0 percent), and Lake, Ohio (-1.6 percent).

Ten Largest U.S. Counties

Of the 10 largest U.S. counties (based on 2003 employment levels), 9 reported increases in employment,

while 1 showed a decline from June 2003 to June 2004. Orange County, Calif., experienced the fastest

growth in employment among the largest counties, with a 3.9 percent increase. Within Orange County,

employment rose in every industry group except natural resources and mining, manufacturing, and information.

The largest gains were in professional and business services (8.5 percent) and construction (8.3 percent).

(See table 2.) Maricopa County, Ariz., had the next largest increase in employment, 3.0 percent, followed

by Miami-Dade, Fla., and San Diego, Calif. (1.8 percent each). The only decrease in employment for the

10 largest counties was in Cook County, Ill., a 0.3 percent decline. The next lowest change in employment

was recorded in Dallas County, Texas (+0.1 percent) and Harris County, Texas (+0.5 percent).

Nine of the 10 largest U.S. counties saw over-the-year increases in average weekly wages. Miami-Dade

County, Fla., had the fastest growth in wages among the top 10 counties, 4.2 percent. Within Miami-Dade

County, wages increased the most in manufacturing (11.5 percent) and information (9.7 percent). Dallas

County, Texas, and New York County, N.Y., were second in wage growth, with gains of 3.9 percent each.

The smallest wage gains among the 10 largest counties occurred in Orange County, Calif. (2.9 percent) and

Cook County, Ill. (3.0 percent). King County, Wash., experienced the only decline in average weekly

wages among the largest 10 counties (-2.0 percent). The information sector posted the largest drop in

wages, with a decline of 20.9 percent over the year.
4

Largest County by State

Table 3 shows June 2004 employment and the 2004 second-quarter average weekly wage in the largest

county in each state. (This table includes two counties—Yellowstone, Mont., and Laramie, Wyo.,—that

have employment levels below 75,000). The employment levels in these counties in June 2004 ranged from

approximately 4.1 million in Los Angeles County, Calif., to 40,600 in Laramie County, Wyo. The highest

average weekly wage of these counties was in New York, N.Y. ($1,300), while the lowest average weekly

wage was in Laramie County, Wyo. ($572).
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. Data for 2004 are preliminary

and subject to revision.

For purposes of this release, large counties are defined as

having employment levels of 75,000 or greater. Each year, these

large counties are selected on the basis of the preliminary

annual average of employment for the previous year. The 318

counties discussed in this release were derived using 2003

preliminary annual averages of employment. These counties

will be included in all 2004 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. Each of these

measures—QCEW, Business Employment Dynamics (BED),

and Current Employment Statistics (CES)—makes use of the

Source Count of UI administrative records Count of longitudinally-linked UI Sample survey: 400,000 employers

submitted by 8.4 million establish- administrative records submitted by

ments 6.5 million private-sector employers

Coverage UI and UCFE coverage, including UI coverage, excluding govern- Nonfarm wage and salary jobs:

all employers subject to state and ment, private households, and estab- UI coverage, excluding agriculture,

federal UI laws lishments with zero employment private households, and self-employed workers

Other employment, including railroads, religious organizations, and

other non-UI-covered jobs

Publication Quarterly Quarterly Monthly

frequency - 7 months after the end of each - 8 months after the end of each - Usually first Friday of following

quarter quarter month

Use of UI file Directly summarizes and pub- Links each new UI quarter to Uses UI file as a sampling frame

 lishes each new quarter of UI longitudinal database and directly and annually realigns (benchmarks)

 data summarizes gross job gains sample estimates to first quarter

 and losses

Principal Provides a quarterly and annual Provides quarterly employer dy- Provides current monthly estimates

products universe count of estab- namics data on establishment open- of employment, hours, and earnings

lishments, employment, and ings, closings, expansions, and at the MSA, state, and national levwages at the county, MSA, contractions at the national level el by industry

state, and national levels by Future expansions will include

detailed industry data at the county, MSA, and

state level and by size of

establishment

Principal uses Major uses include: Major uses include: Major uses include:

- Detailed locality data - Business cycle analysis - Principal national economic

- Periodic universe counts for - Analysis of employer dynamics indicator

benchmarking sample survey underlying economic expansions - Official time series for

estimates and contractions employment change measures

- Sample frame for BLS - Future: Employment expansion - Input into other major economic

establishment surveys and contraction by size of estab- indicators

lishment

Program www.bls.gov/cew/ www.bls.gov/bdm/ www.bls.gov/ces/

Web sites

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

 QCEW BED CES

•

UI levels
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 over-the-quarter

employment change. It is important to understand program

differences and the intended uses of the program products.

(See table on the previous page.) Additional information on

each program can be obtained from the program Web sites

shown in the table on the previous page.

Coverage

Employment and wage data for workers covered by state UI

laws and for federal civilian workers covered by the Unemployment Compensation for Federal Employees (UCFE)

program are compiled from quarterly contribution reports

submitted to the SWAs by employers. 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. The employment and wage data included in

this release are derived from microdata summaries of more than

8 million employer reports of employment and wages submitted

by states to the BLS. These reports are based on place of

employment rather than place of residence.

UI and UCFE coverage is broad and basically comparable

from state to state. In 2003, UI and UCFE programs covered

workers in 127.8 million jobs. The estimated 122.9 million

workers in these jobs (after adjustment for multiple jobholders)

represented 96.6 percent of civilian wage and salary employment. Covered workers received $4.826 trillion in pay,

representing 94.6 percent of the wage and salary component of

personal income and 43.9 percent of the gross domestic

product.

Major exclusions from UI coverage include self-employed

workers, most agricultural workers on small farms, all members

of the Armed Forces, elected officials in most states, most

employees of railroads, some domestic workers, most student

workers at schools, and employees of certain small nonprofit

organizations.

State and federal UI laws change periodically. These

changes may have an impact on the employment and wages

reported by employers covered under the UI program.

Coverage changes may affect the over-the-year comparisons

presented in this news release. Effective January 1, 2004, the

Washington Employment Security Department no longer

includes as covered wages an employee’s income attributable

to the transfer of shares of stock to the employee. This change

in wage coverage pertains to all establishments in Washington

State and contributes significantly to over-the-year changes in

wages in the state in 2004.

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.

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. When comparing

average weekly wage levels between industries and/or states,

these factors should be taken into consideration. Percent

changes are calculated using an adjusted version of the final

2003 quarterly data as the base data. Final data for 2003 may

differ from preliminary data published earlier.

In order to insure 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.

These changes in classifications are partially adjusted for in

order to improve the measure of economic change over time,

as presented in this release. Some changes in classification

reflect economic events, while other changes are simply the

result of corrections and other noneconomic events. Changes

of an economic nature (such as a firm moving from one county

to another or changing its primary economic activity) are not

adjusted for in the over-the-year change, because these

changes are due to an actual event. But to the extent possible,

changes that are not economic in nature (such as a correction

to a previously reported location or industry classification) are

adjusted for in the measures of change presented in this release.

The adjustment is made by reassigning year-ago data

for establishments with noneconomic changes into the

classification shown in the current data. The year-ago to-
tals are then recreated reflecting this reassignment process.

The adjusted year-ago data are then used to calculate the

over-the-year change. The adjusted year-ago data differ

to some extent from the data available on the BLS Web

site. This process results in a more accurate presentation of

change in local economic activity than what would result

from the simple comparison of current and year-ago data points.

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

An annual bulletin, Employment and Wages, features

comprehensive information by detailed industry on establishments, employment, and wages for the nation and all

states. Employment and Wages Annual Averages, 2002 is

available for sale from the BLS Publications Sales Center, P.O.

Box 2145, Chicago, Illinois 60690, telephone 312-353-1880. The

2002 bulletin is now available in a portable document format

(PDF) on the BLS Web site at http://www.bls.gov/cew/

cewbultn02.htm. The 2003 annual bulletin will be published in

early 2005. BLS also will make this bulletin available on the BLS

Web site.

News releases on quarterly measures of gross job flows also

are available upon request from the Division of Administrative

Statistics and Labor Turnover (Business Employment Dynamics), telephone 202-691-6467; (http://www.bls.gov/bdm/);

(e-mail: BDMInfo@bls.gov).

Information in this release will be made available to sensory

impaired individuals upon request. Voice phone: 202-691-5200;

TDD message referral phone number: 1-800-877-8339.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

United States6 .................... 8,363.3 130,638.4 1.2 - $724 3.1 - 

Jefferson, AL ...................... 18.5 370.2 0.4 210 720 2.7 178

Madison, AL ....................... 7.8 164.3 2.5 71 788 3.0 150

Mobile, AL .......................... 9.6 162.1 -0.5 264 592 3.1 140

Montgomery, AL ................ 6.6 132.1 1.9 100 629 3.3 122

Tuscaloosa, AL .................. 4.1 77.6 2.2 85 608 2.4 201

Anchorage Borough, AK .... 7.7 140.9 -2.2 306 788 3.7 82

Maricopa, AZ ..................... 80.3 1,599.1 3.0 57 733 3.5 103

Pima, AZ ............................ 17.5 330.1 3.6 41 650 3.2 130

Benton, AR ........................ 4.4 84.9 3.4 45 664 6.9 9

Pulaski, AR ........................ 13.3 241.8 0.9 176 664 4.4 44

Washington, AR ................. 5.0 86.4 2.9 60 587 5.4 27

Alameda, CA ...................... 47.3 677.2 -1.3 294 957 3.6 93

Contra Costa, CA ............... 27.2 341.4 -0.5 264 911 4.4 44

Fresno, CA ......................... 28.1 338.6 -1.3 294 581 4.5 42

Kern, CA ............................ 15.6 252.7 (7) - 631 (7) - 

Los Angeles, CA ................ 354.4 4,063.4 0.8 182 815 3.4 112

Marin, CA ........................... 11.7 112.0 1.0 170 917 2.8 170

Monterey, CA ..................... 11.8 180.6 -1.2 292 644 2.5 192

Orange, CA ........................ 89.2 1,479.1 3.9 38 826 2.9 164

Placer, CA .......................... 9.3 132.6 4.9 12 723 2.0 237

Riverside, CA ..................... 37.6 577.1 5.4 9 651 7.1 7

Sacramento, CA ................ 45.8 611.3 0.8 182 806 3.1 140

San Bernardino, CA ........... 41.0 604.4 4.2 23 649 1.7 249

San Diego, CA ................... 85.1 1,281.5 1.8 106 786 3.7 82

San Francisco, CA ............. 42.7 520.6 -1.0 285 1,100 4.4 44

San Joaquin, CA ................ 15.6 220.0 (7) - 630 3.8 80

San Luis Obispo, CA ......... 8.6 102.6 -0.7 274 613 5.7 20

San Mateo, CA .................. 22.7 328.9 -1.0 285 1,147 1.6 254

Santa Barbara, CA ............. 13.0 185.7 0.1 230 687 4.2 56

Santa Clara, CA ................. 51.9 855.3 -0.5 264 1,288 5.1 30

Santa Cruz, CA .................. 8.3 99.8 -2.2 306 691 5.0 33

Solano, CA ......................... 9.3 128.5 0.2 224 694 6.0 14

Sonoma, CA ...................... 17.0 195.7 0.9 176 718 2.6 186

Stanislaus, CA ................... 12.9 172.6 0.5 202 617 3.7 82

Tulare, CA .......................... 8.5 (7) (7) - 522 5.0 33

Ventura, CA ....................... 20.5 311.0 1.5 127 779 4.3 51

Yolo, CA ............................. 5.0 97.8 -0.7 274 689 6.0 14

Adams, CO ........................ 8.6 143.6 0.0 239 700 3.4 112

Arapahoe, CO .................... 18.9 271.9 -0.1 245 862 0.5 295

Boulder, CO ....................... 11.8 153.6 1.5 127 883 4.3 51

Denver, CO ........................ 24.3 426.1 0.4 210 887 4.6 41

El Paso, CO ....................... 15.9 239.5 1.5 127 683 2.9 164

Jefferson, CO ..................... 18.0 206.8 0.1 230 740 1.5 264

Larimer, CO ....................... 9.2 126.0 2.1 93 647 -0.9 307

Fairfield, CT ....................... 31.7 416.6 0.0 239 1,110 3.3 122

Hartford, CT ....................... 24.2 485.5 0.2 224 897 3.9 72

New Haven, CT ................. 21.9 365.9 1.2 157 803 3.5 103

New London, CT ................ 6.6 129.8 -0.9 279 787 5.1 30

New Castle, DE ................. 19.0 282.6 1.0 170 860 3.1 140

Washington, DC ................. 29.5 665.7 1.7 116 1,189 3.6 93

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Alachua, FL ........................ 6.0 121.7 1.7 116 $583 4.1 67

Brevard, FL ........................ 12.8 197.0 (7) - 715 (7) - 

Broward, FL ....................... 58.2 691.9 1.8 106 706 3.5 103

Collier, FL .......................... 10.6 113.5 4.5 18 655 5.5 23

Duval, FL ........................... 22.8 436.3 2.9 60 709 2.8 170

Escambia, FL ..................... 7.5 123.6 4.1 29 577 3.2 130

Hillsborough, FL ................. 31.9 601.5 4.2 23 693 4.4 44

Lee, FL ............................... 15.4 191.0 6.0 6 649 9.6 3

Leon, FL ............................. 7.4 139.8 1.5 127 638 4.4 44

Manatee, FL ....................... 7.2 116.4 4.4 21 581 4.1 67

Marion, FL .......................... 6.6 89.7 5.1 10 551 4.2 56

Miami-Dade, FL ................. 82.0 981.6 1.8 106 718 4.2 56

Okaloosa, FL ..................... 5.4 81.7 -1.1 290 588 7.3 6

Orange, FL ......................... 30.5 618.8 4.2 23 673 3.5 103

Palm Beach, FL ................. 43.8 512.8 3.4 45 724 3.0 150

Pasco, FL ........................... 7.6 78.4 3.4 45 565 4.2 56

Pinellas, FL ........................ 28.8 433.3 4.1 29 640 2.1 226

Polk, FL .............................. 10.7 184.3 3.8 40 587 3.2 130

Sarasota, FL ...................... 13.3 150.0 4.7 15 636 6.5 12

Seminole, FL ...................... 12.4 152.9 5.8 7 654 3.2 130

Volusia, FL ......................... 12.1 151.4 4.1 29 548 3.6 93

Bibb, GA ............................ 4.8 86.8 1.4 139 612 2.0 237

Chatham, GA ..................... 7.1 126.9 2.2 85 610 2.9 164

Clayton, GA ....................... 4.4 105.9 (7) - 805 3.6 93

Cobb, GA ........................... 20.1 297.1 0.4 210 815 4.2 56

De Kalb, GA ....................... 17.2 291.9 0.3 217 806 3.7 82

Fulton, GA .......................... 37.8 725.9 1.4 139 940 2.2 219

Gwinnett, GA ..................... 21.7 305.6 3.3 48 760 -0.3 303

Muscogee, GA ................... 4.8 96.3 -0.4 260 580 2.3 213

Richmond, GA ................... 4.8 105.3 1.2 157 625 3.8 80

Honolulu, HI ....................... 24.0 427.4 2.1 93 675 2.7 178

Ada, ID ............................... 13.1 189.4 3.3 48 669 3.2 130

Champaign, IL ................... 3.9 90.4 1.1 164 614 1.7 249

Cook, IL ............................. 126.6 2,522.9 -0.3 256 860 3.0 150

Du Page, IL ........................ 32.5 583.2 0.8 182 856 0.6 292

Kane, IL ............................. 11.0 205.1 2.4 76 663 1.1 277

Lake, IL .............................. 19.0 328.4 0.5 202 867 2.5 192

McHenry, IL ....................... 7.5 98.3 3.2 52 646 2.2 219

McLean, IL ......................... 3.4 83.8 -0.9 279 755 3.6 93

Madison, IL ........................ 5.6 95.4 -0.2 252 617 5.5 23

Peoria, IL ........................... 4.6 98.9 2.4 76 688 4.1 67

Rock Island, IL ................... 3.4 78.5 -0.5 264 725 8.5 5

St. Clair, IL ......................... 5.1 92.4 -0.5 264 592 4.2 56

Sangamon, IL .................... 5.1 132.7 (7) - 724 (7) - 

Will, IL ................................ 10.7 164.0 3.3 48 674 0.9 286

Winnebago, IL .................... 6.6 137.9 1.4 139 632 1.1 277

Allen, IN ............................. 8.7 177.4 1.4 139 648 1.4 270

Elkhart, IN .......................... 4.8 126.6 7.6 2 663 6.8 10

Hamilton, IN ....................... 6.2 90.0 4.2 23 726 0.8 289

Lake, IN ............................. 9.9 192.6 -0.9 279 656 3.3 122

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Marion, IN .......................... 23.6 580.5 0.8 182 $769 5.9 17

St. Joseph, IN .................... 6.0 125.5 1.4 139 627 1.1 277

Vanderburgh, IN ................ 4.8 107.1 -1.5 297 625 4.2 56

Linn, IA ............................... 6.0 117.4 1.4 139 685 1.6 254

Polk, IA .............................. 14.2 263.9 2.2 85 711 2.7 178

Scott, IA ............................. 5.1 87.7 2.4 76 597 2.9 164

Johnson, KS ...................... 18.7 298.7 1.9 100 751 2.3 213

Sedgwick, KS ..................... 11.5 239.6 0.3 217 670 3.4 112

Shawnee, KS ..................... 4.7 95.5 -0.7 274 634 5.1 30

Fayette, KY ........................ 8.7 167.7 1.4 139 670 3.1 140

Jefferson, KY ..................... 21.4 420.6 -0.1 245 726 4.9 35

Caddo, LA .......................... 7.0 121.5 2.1 93 632 5.2 28

Calcasieu, LA ..................... 4.6 82.3 -0.8 278 584 1.2 276

East Baton Rouge, LA ....... 13.0 248.2 2.6 68 612 -0.5 305

Jefferson, LA ...................... 14.0 214.4 0.4 210 597 2.4 201

Lafayette, LA ...................... 7.5 119.3 -0.2 252 628 2.4 201

Orleans, LA ........................ 12.5 252.4 0.5 202 676 2.4 201

Cumberland, ME ................ 11.7 173.1 1.8 106 666 4.2 56

Anne Arundel, MD ............. 13.4 215.8 2.2 85 760 2.4 201

Baltimore, MD .................... 20.6 366.8 1.1 164 738 3.4 112

Frederick, MD .................... 5.4 90.2 2.3 79 703 3.5 103

Howard, MD ....................... 7.9 140.0 0.3 217 830 3.5 103

Montgomery, MD ............... 31.3 455.0 0.0 239 950 3.6 93

Prince Georges, MD .......... 14.9 313.5 1.6 123 795 2.4 201

Baltimore City, MD ............. 13.9 357.0 -2.1 304 841 4.5 42

Barnstable, MA .................. 9.2 101.8 -0.2 252 654 6.0 14

Bristol, MA ......................... 15.2 222.5 0.7 189 673 4.3 51

Essex, MA .......................... 20.6 299.9 -1.0 285 779 2.1 226

Hampden, MA .................... 14.0 202.1 -0.4 260 673 2.6 186

Middlesex, MA ................... 47.9 787.8 -1.1 290 1,041 5.8 18

Norfolk, MA ........................ 21.8 321.9 -0.7 274 883 3.2 130

Plymouth, MA .................... 13.6 175.8 0.9 176 728 2.2 219

Suffolk, MA ........................ 22.3 560.5 -0.5 264 1,163 11.8 1

Worcester, MA ................... 20.3 321.6 0.6 194 767 3.9 72

Genesee, MI ...................... 8.6 155.4 -0.3 256 695 2.1 226

Ingham, MI ......................... 7.0 168.1 -0.9 279 699 0.3 298

Kalamazoo, MI ................... 5.5 116.3 -0.5 264 683 3.0 150

Kent, MI ............................. 14.6 336.8 1.3 151 675 0.0 300

Macomb, MI ....................... 18.0 328.4 0.6 194 808 1.6 254

Oakland, MI ....................... 41.5 725.1 -1.4 296 890 1.6 254

Ottawa, MI ......................... 5.8 113.3 1.5 127 664 1.4 270

Saginaw, MI ....................... 4.6 90.6 -1.6 299 669 1.1 277

Washtenaw, MI .................. 8.2 192.9 0.1 230 835 1.8 244

Wayne, MI .......................... 35.1 797.6 -2.1 304 857 2.5 192

Anoka, MN ......................... 7.3 114.7 1.8 106 725 0.1 299

Dakota, MN ........................ 9.5 171.5 1.3 151 732 2.4 201

Hennepin, MN .................... 40.0 832.0 0.7 189 916 3.0 150

Olmsted, MN ...................... 3.3 88.8 1.6 123 754 -3.3 312

Ramsey, MN ...................... 14.7 331.3 0.4 210 848 4.2 56

St. Louis, MN ..................... 5.7 95.6 0.3 217 610 2.7 178

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Stearns, MN ....................... 4.1 78.0 1.1 164 $597 2.2 219

Harrison, MS ...................... 4.5 90.2 0.2 224 525 0.6 292

Hinds, MS .......................... 6.5 130.8 1.0 170 635 1.1 277

Boone, MO ......................... 4.3 78.1 2.0 98 587 4.3 51

Clay, MO ............................ 4.9 87.7 0.6 194 675 0.4 296

Greene, MO ....................... 8.0 144.7 0.3 217 577 3.4 112

Jackson, MO ...................... 18.7 366.0 -0.4 260 745 2.1 226

St. Charles, MO ................. 7.3 114.8 4.6 17 640 3.4 112

St. Louis, MO ..................... 33.7 621.2 -1.0 285 781 1.6 254

St. Louis City, MO .............. 8.2 223.6 -2.6 308 805 1.8 244

Douglas, NE ....................... 14.7 311.9 0.1 230 669 1.7 249

Lancaster, NE .................... 7.5 153.4 1.9 100 601 2.2 219

Clark, NV ........................... 38.3 805.1 7.3 3 684 4.4 44

Washoe, NV ....................... 12.6 205.2 4.9 12 688 3.3 122

Hillsborough, NH ................ 12.3 195.8 1.7 116 792 3.0 150

Rockingham, NH ................ 10.7 136.9 2.5 71 721 3.6 93

Atlantic, NJ ......................... 6.5 150.2 2.2 85 665 2.6 186

Bergen, NJ ......................... 34.2 451.8 -0.1 245 914 2.1 226

Burlington, NJ .................... 11.1 201.3 0.6 194 784 3.2 130

Camden, NJ ....................... 13.3 211.7 3.1 55 754 3.6 93

Essex, NJ ........................... 21.3 361.8 0.1 230 930 3.7 82

Gloucester, NJ ................... 6.1 101.6 4.7 15 675 4.2 56

Hudson, NJ ........................ 13.8 233.8 0.0 239 948 5.7 20

Mercer, NJ ......................... 10.6 219.0 -1.5 297 896 1.6 254

Middlesex, NJ .................... 20.6 396.4 1.2 157 914 3.9 72

Monmouth, NJ ................... 19.8 260.6 2.9 60 797 1.8 244

Morris, NJ .......................... 17.6 285.3 1.2 157 1,044 1.5 264

Ocean, NJ .......................... 11.4 152.1 2.3 79 636 3.9 72

Passaic, NJ ........................ 12.4 178.9 1.4 139 799 4.9 35

Somerset, NJ ..................... 9.9 168.7 (7) - 1,093 -5.2 313

Union, NJ ........................... 14.9 235.0 (7) - 912 (7) - 

Bernalillo, NM .................... 16.6 317.0 2.5 71 649 2.4 201

Albany, NY ......................... 9.5 229.3 0.5 202 762 2.6 186

Bronx, NY .......................... 15.3 217.3 0.5 202 715 3.3 122

Broome, NY ....................... 4.4 96.3 0.5 202 588 -0.2 302

Dutchess, NY ..................... 7.8 117.2 -0.5 264 (7) (7) - 

Erie, NY ............................. 23.3 455.8 -0.5 264 653 4.3 51

Kings, NY ........................... 41.9 446.0 0.6 194 652 4.2 56

Monroe, NY ........................ 17.7 386.6 -0.1 245 738 1.0 284

Nassau, NY ........................ 50.5 608.0 0.9 176 825 3.0 150

New York, NY .................... 112.3 2,225.0 0.6 194 1,300 3.9 72

Oneida, NY ........................ 5.3 110.7 0.2 224 573 2.5 192

Onondaga, NY ................... 12.6 249.8 0.7 189 691 3.0 150

Orange, NY ........................ 9.2 128.5 1.4 139 652 3.3 122

Queens, NY ....................... 40.1 474.8 -1.0 285 738 1.5 264

Richmond, NY .................... 8.0 89.4 0.6 194 671 4.0 70

Rockland, NY ..................... 9.3 113.4 0.9 176 801 3.4 112

Suffolk, NY ......................... 47.6 614.3 1.2 157 782 2.8 170

Westchester, NY ................ 35.2 415.0 0.8 182 978 5.8 18

Buncombe, NC .................. 6.9 106.3 1.5 127 567 3.5 103

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Catawba, NC ..................... 4.3 87.2 1.9 100 $572 3.1 140

Cumberland, NC ................ 5.6 111.7 2.2 85 563 2.7 178

Durham, NC ....................... 6.2 166.6 2.3 79 916 2.3 213

Forsyth, NC ........................ 8.4 174.5 0.0 239 679 0.9 286

Guilford, NC ....................... 13.7 268.7 1.5 127 662 2.8 170

Mecklenburg, NC ............... 27.2 505.8 0.5 202 835 3.2 130

New Hanover, NC .............. 6.4 90.1 1.8 106 590 3.7 82

Wake, NC .......................... 23.3 392.5 3.3 48 734 2.7 178

Cass, ND ........................... 5.4 89.3 3.1 55 590 3.9 72

Butler, OH .......................... 6.8 134.7 2.6 68 674 6.1 13

Cuyahoga, OH ................... 38.2 764.5 -0.3 256 757 3.4 112

Franklin, OH ....................... 28.9 686.4 0.3 217 733 2.5 192

Hamilton, OH ..................... 24.4 547.7 0.0 239 782 3.7 82

Lake, OH ............................ 6.7 101.0 1.5 127 604 -1.6 309

Lorain, OH ......................... 6.1 103.3 0.1 230 636 2.4 201

Lucas, OH .......................... 10.8 228.0 -0.1 245 668 1.4 270

Mahoning, OH .................... 6.4 106.9 0.6 194 547 2.4 201

Montgomery, OH ............... 13.1 285.9 -1.2 292 697 2.3 213

Stark, OH ........................... 9.1 167.6 -0.6 273 584 1.9 240

Summit, OH ....................... 14.7 267.8 2.2 85 684 3.0 150

Trumbull, OH ..................... 4.8 85.0 -3.4 309 671 5.2 28

Oklahoma, OK ................... 21.6 403.0 1.5 127 635 2.6 186

Tulsa, OK ........................... 18.2 319.6 0.1 230 649 1.6 254

Clackamas, OR .................. 11.5 141.9 4.2 23 686 1.8 244

Jackson, OR ...................... 6.3 80.3 4.0 36 569 3.5 103

Lane, OR ........................... 10.5 141.8 2.9 60 595 2.4 201

Marion, OR ........................ 8.5 136.4 3.9 38 587 1.7 249

Multnomah, OR .................. 25.7 424.5 2.1 93 752 2.6 186

Washington, OR ................ 14.6 227.7 2.5 71 844 6.6 11

Allegheny, PA .................... 37.4 700.5 -0.1 245 759 3.0 150

Berks, PA ........................... 8.9 163.5 1.8 106 671 1.1 277

Bucks, PA .......................... 20.1 261.3 1.9 100 724 3.6 93

Chester, PA ....................... 14.4 225.6 1.5 127 932 4.4 44

Cumberland, PA ................ 5.7 127.7 1.6 123 707 3.4 112

Dauphin, PA ....................... 6.9 176.9 0.8 182 726 4.8 40

Delaware, PA ..................... 13.8 209.8 -0.9 279 761 1.3 274

Erie, PA .............................. 7.3 128.4 1.3 151 585 3.2 130

Lackawanna, PA ................ 5.7 99.1 1.4 139 566 2.5 192

Lancaster, PA .................... 11.7 228.2 1.5 127 636 2.1 226

Lehigh, PA ......................... 8.3 176.7 1.0 170 723 3.0 150

Luzerne, PA ....................... 8.0 143.3 0.4 210 591 2.8 170

Montgomery, PA ................ 27.8 485.0 0.3 217 887 3.6 93

Northampton, PA ............... 6.1 92.2 1.4 139 651 2.7 178

Philadelphia, PA ................ 28.4 627.2 -1.7 302 838 3.1 140

Westmoreland, PA ............. 9.6 137.8 3.0 57 595 3.1 140

York, PA ............................. 8.4 168.1 2.3 79 645 2.9 164

Kent, RI .............................. 5.6 82.6 2.5 71 669 -1.0 308

Providence, RI ................... 17.8 288.9 -0.3 256 713 4.9 35

Charleston, SC .................. 11.7 194.9 3.6 41 597 0.7 291

Greenville, SC .................... 12.1 223.8 0.2 224 642 2.1 226

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Horry, SC ........................... 7.9 113.1 4.4 21 $476 1.9 240

Lexington, SC .................... 5.4 86.8 1.8 106 573 5.5 23

Richland, SC ...................... 9.3 206.4 2.0 98 629 2.4 201

Spartanburg, SC ................ 6.2 115.6 0.9 176 686 8.7 4

Minnehaha, SD .................. 6.0 110.8 1.6 123 606 3.4 112

Davidson, TN ..................... 17.8 424.3 -0.2 252 722 4.0 70

Hamilton, TN ...................... 8.3 184.2 0.4 210 642 0.6 292

Knox, TN ............................ 10.3 216.0 1.8 106 627 2.8 170

Rutherford, TN ................... 3.6 89.7 8.5 1 680 0.4 296

Shelby, TN ......................... 19.8 497.3 0.1 230 735 3.5 103

Bell, TX .............................. 4.2 91.2 3.6 41 553 1.3 274

Bexar, TX ........................... 29.7 661.8 0.7 189 636 5.5 23

Brazoria, TX ....................... 4.1 76.3 0.8 182 684 3.0 150

Brazos, TX ......................... 3.5 75.8 3.0 57 519 1.6 254

Cameron, TX ..................... 6.1 116.5 1.2 157 452 2.3 213

Collin, TX ........................... 12.6 207.8 6.8 5 803 1.9 240

Dallas, TX .......................... 67.8 1,431.1 0.1 230 886 3.9 72

Denton, TX ......................... 8.4 131.8 2.8 66 616 1.5 264

El Paso, TX ........................ 12.4 251.7 1.5 127 524 2.7 178

Fort Bend, TX .................... 6.4 102.0 4.0 36 710 1.4 270

Galveston, TX .................... 4.8 88.3 -1.8 303 639 3.7 82

Harris, TX ........................... 89.6 1,839.4 0.5 202 847 3.2 130

Hidalgo, TX ........................ 9.3 188.2 4.1 29 457 2.9 164

Jefferson, TX ..................... 5.8 117.0 0.2 224 653 2.5 192

Lubbock, TX ....................... 6.5 117.5 2.2 85 535 0.9 286

McLennan, TX ................... 4.7 99.5 1.7 116 569 1.6 254

Montgomery, TX ................ 6.3 91.3 4.1 29 640 2.1 226

Nueces, TX ........................ 8.0 144.7 1.3 151 590 3.1 140

Potter, TX ........................... 3.9 77.4 1.9 100 556 1.6 254

Smith, TX ........................... 4.9 86.9 2.7 67 624 4.9 35

Tarrant, TX ......................... 33.8 700.2 1.0 170 742 2.1 226

Travis, TX .......................... 25.0 516.7 2.1 93 801 1.1 277

Webb, TX ........................... 4.3 78.6 3.2 52 486 2.3 213

Williamson, TX ................... 5.0 85.8 2.3 79 718 -2.7 311

Davis, UT ........................... 6.2 95.7 4.8 14 590 2.8 170

Salt Lake, UT ..................... 34.0 521.2 1.7 116 671 3.7 82

Utah, UT ............................ 10.9 151.5 5.7 8 550 0.0 300

Weber, UT ......................... 5.3 87.5 1.7 116 551 2.2 219

Chittenden, VT ................... 5.7 96.5 1.3 151 722 2.8 170

Arlington, VA ...................... 6.9 157.0 (7) - 1,170 7.1 7

Chesterfield, VA ................. 6.7 114.7 3.2 52 650 1.7 249

Fairfax, VA ......................... 29.8 550.0 4.5 18 1,085 3.7 82

Henrico, VA ........................ 8.3 167.8 1.2 157 745 1.8 244

Loudoun, VA ...................... 6.3 114.2 4.1 29 926 -0.8 306

Prince William, VA ............. 5.9 98.2 6.9 4 649 3.0 150

Alexandria City, VA ............ 5.7 93.0 -0.1 245 930 3.3 122

Chesapeake City, VA ......... 4.8 93.5 5.0 11 576 2.5 192

Newport News City, VA ..... 3.7 99.0 2.9 60 663 3.3 122

Norfolk City, VA ................. 5.6 145.4 1.1 164 699 1.0 284

Richmond City, VA ............. 6.9 159.4 0.7 189 829 5.7 20

See footnotes at end of table.
Table 1. Covered1 establishments, employment, and wages in the 318 largest counties,

second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Ranking by

percent

change

Average

weekly

wage

Percent

change,

second quarter

2003-044

Ranking by

percent

change

Virginia Beach City, VA ...... 10.6 175.0 3.5 44 $562 3.7 82

Clark, WA ........................... 10.2 121.5 4.5 18 668 1.5 264

King, WA ............................ 76.0 1,099.4 1.0 170 932 -2.0 310

Kitsap, WA ......................... 6.1 80.8 4.1 29 667 4.9 35

Pierce, WA ......................... 19.3 251.8 2.9 60 706 9.8 2

Snohomish, WA ................. 15.9 212.4 1.8 106 731 0.8 289

Spokane, WA ..................... 14.4 195.2 1.1 164 591 3.1 140

Thurston, WA ..................... 6.2 92.7 2.6 68 660 1.5 264

Yakima, WA ....................... 8.1 107.3 4.2 23 491 2.1 226

Kanawha, WV .................... 6.2 109.1 -0.4 260 645 3.0 150

Brown, WI .......................... 6.8 148.0 1.4 139 660 2.0 237

Dane, WI ............................ 13.7 289.6 1.7 116 722 2.1 226

Milwaukee, WI ................... 22.2 496.4 -1.6 299 726 3.9 72

Outagamie, WI ................... 4.9 102.0 2.3 79 637 3.1 140

Racine, WI ......................... 4.3 76.4 -0.9 279 674 -0.3 303

Waukesha, WI ................... 13.5 228.8 1.1 164 737 1.9 240

Winnebago, WI .................. 4.0 87.0 -1.6 299 687 2.5 192

San Juan, PR ..................... 13.2 321.5 1.3 151 469 2.2 219

1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.

These 317 U.S. counties comprise 70.3 percent of the total covered workers in the U.S. 2 Data are preliminary. 3 Includes areas not officially designated as counties. See Technical Note. 4 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See Technical

Note. 5 Average weekly wages were calculated using unrounded data. 6 Totals for the United States do not include data for Puerto Rico or the Virgin Islands. 7 Data do not meet BLS or State agency disclosure standards.
Table 2. Covered1 establishments, employment, and wages in the ten largest counties,

second quarter 20042

County by NAICS supersector

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage4

June

2004

(thousands)

Percent

change,

June

2003-043

Average

weekly

wage

Percent

change,

second quarter

2003-043

United States5 .................................................... 8,363.3 130,638.4 1.2 $724 3.1

Private industry .............................................. 8,092.2 109,709.6 1.4 713 3.2

Natural resources and mining .................... 122.5 1,811.3 0.5 650 5.3

Construction ............................................... 817.2 7,095.7 3.4 748 2.2

Manufacturing ............................................ 371.7 14,346.2 -1.3 883 3.6

Trade, transportation, and utilities .............. 1,854.3 25,293.5 1.1 634 2.8

Information ................................................. 143.5 3,107.5 -2.4 1,105 3.3

Financial activities ...................................... 780.2 7,917.8 0.4 1,039 4.4

Professional and business services ........... 1,333.2 16,431.9 3.3 859 3.5

Education and health services ................... 742.5 16,043.8 2.1 676 3.4

Leisure and hospitality ............................... 676.8 12,966.3 2.4 308 3.0

Other services ............................................ 1,064.0 4,347.9 0.0 472 3.1

Government ................................................... 271.1 20,928.8 0.0 781 2.6

Los Angeles, CA ................................................ 354.4 4,063.4 0.8 815 3.4

Private industry .............................................. 350.6 3,474.6 1.3 797 3.9

Natural resources and mining .................... 0.6 12.0 1.8 863 0.9

Construction ............................................... 13.0 140.2 5.4 804 3.6

Manufacturing ............................................ 17.3 484.3 -3.4 834 6.4

Trade, transportation, and utilities .............. 53.7 771.3 1.5 694 2.8

Information ................................................. 8.9 210.5 3.8 1,365 7.6

Financial activities ...................................... 22.9 236.1 0.7 1,227 7.1

Professional and business services ........... 39.8 567.1 2.0 917 0.7

Education and health services ................... 26.9 451.1 0.9 735 2.9

Leisure and hospitality ............................... 25.5 375.5 2.8 486 5.2

Other services ............................................ 141.6 224.7 2.6 399 0.8

Government ................................................... 3.8 588.8 -1.8 923 1.9

Cook, IL .............................................................. 126.6 2,522.9 -0.3 860 3.0

Private industry .............................................. 125.3 2,200.3 0.1 849 2.5

Natural resources and mining .................... 0.1 1.4 -5.0 901 3.7

Construction ............................................... 10.6 98.4 -1.7 1,045 2.6

Manufacturing ............................................ 7.6 258.1 -2.7 891 4.6

Trade, transportation, and utilities .............. 26.5 479.2 0.9 712 2.4

Information ................................................. 2.5 63.1 -4.3 1,160 5.5

Financial activities ...................................... 14.0 217.6 -0.5 1,340 4.3

Professional and business services ........... 25.9 406.9 1.5 1,042 -0.4

Education and health services ................... 12.4 347.5 1.1 735 3.8

Leisure and hospitality ............................... 10.6 227.5 1.2 373 4.5

Other services ............................................ 12.7 95.5 -2.4 634 4.8

Government ................................................... 1.2 322.7 (6) 934 (6) 

New York, NY ..................................................... 112.3 2,225.0 0.6 1,300 3.9

Private industry .............................................. 112.1 1,773.6 0.8 1,392 3.6

Natural resources and mining .................... 0.0 0.1 1.1 1,204 2.5

Construction ............................................... 2.1 28.9 -3.7 1,296 2.9

Manufacturing ............................................ 3.3 46.1 -1.7 1,018 4.6

Trade, transportation, and utilities .............. 21.6 232.9 1.2 1,003 3.9

Information ................................................. 4.2 124.9 -5.7 1,689 7.0

Financial activities ...................................... 16.6 350.8 -0.1 2,404 5.0

Professional and business services ........... 22.3 434.8 2.0 1,526 0.9

Education and health services ................... 8.0 270.3 1.0 870 5.5

Leisure and hospitality ............................... 10.1 190.5 3.9 655 5.8

Other services ............................................ 16.1 82.1 -0.2 786 5.1

Government ................................................... 0.2 451.4 0.0 938 5.5

See footnotes at end of table.
Table 2. Covered1 establishments, employment, and wages in the ten largest counties,

second quarter 20042 — Continued

County by NAICS supersector

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage4

June

2004

(thousands)

Percent

change,

June

2003-043

Average

weekly

wage

Percent

change,

second quarter

2003-043

Harris, TX ........................................................... 89.6 1,839.4 0.5 $847 3.2

Private industry .............................................. 89.2 1,597.4 0.4 859 3.2

Natural resources and mining .................... 1.2 63.3 2.3 2,052 9.9

Construction ............................................... 6.3 131.8 -7.6 833 6.0

Manufacturing ............................................ 4.6 164.3 -1.3 1,071 1.8

Trade, transportation, and utilities .............. 21.0 389.4 0.6 786 0.6

Information ................................................. 1.4 34.1 -1.9 1,044 1.6

Financial activities ...................................... 9.7 114.2 2.1 1,047 2.9

Professional and business services ........... 17.2 286.9 2.2 946 4.1

Education and health services ................... 9.0 187.2 0.9 743 3.5

Leisure and hospitality ............................... 6.6 163.8 1.6 319 1.3

Other services ............................................ 10.4 57.7 -0.1 505 0.8

Government ................................................... 0.4 242.0 1.6 765 2.8

Maricopa, AZ ...................................................... 80.3 1,599.1 3.0 733 3.5

Private industry .............................................. 79.8 1,410.7 3.7 716 3.6

Natural resources and mining .................... 0.5 11.0 1.4 472 1.7

Construction ............................................... 8.4 138.3 8.4 725 2.7

Manufacturing ............................................ 3.2 128.4 0.2 991 3.9

Trade, transportation, and utilities .............. 18.5 327.7 3.9 710 4.1

Information ................................................. 1.6 35.5 -5.6 863 2.1

Financial activities ...................................... 9.6 135.1 1.4 901 2.7

Professional and business services ........... 17.9 267.0 5.2 713 4.2

Education and health services ................... 7.7 164.5 5.9 762 4.7

Leisure and hospitality ............................... 5.6 155.8 2.3 346 3.6

Other services ............................................ 5.7 45.1 3.3 493 2.3

Government ................................................... 0.5 188.4 -1.9 843 3.3

Dallas, TX ........................................................... 67.8 1,431.1 0.1 886 3.9

Private industry .............................................. 67.4 1,276.2 0.2 896 3.9

Natural resources and mining .................... 0.5 6.5 6.7 2,278 -7.3

Construction ............................................... 4.4 75.0 -1.2 818 2.0

Manufacturing ............................................ 3.4 145.9 0.0 1,013 2.2

Trade, transportation, and utilities .............. 15.6 307.9 -0.5 864 4.2

Information ................................................. 1.8 60.4 -6.2 1,246 7.4

Financial activities ...................................... 8.7 139.3 0.7 1,128 3.8

Professional and business services ........... 13.8 240.0 1.9 1,010 5.3

Education and health services ................... 6.1 130.0 1.4 794 3.1

Leisure and hospitality ............................... 5.0 126.6 0.5 403 5.2

Other services ............................................ 6.7 41.3 -3.4 544 0.9

Government ................................................... 0.5 154.9 -1.2 802 2.8

Orange, CA ........................................................ 89.2 1,479.1 3.9 826 2.9

Private industry .............................................. 87.8 1,327.9 4.3 817 3.0

Natural resources and mining .................... 0.2 8.1 -1.7 512 2.8

Construction ............................................... 6.6 93.8 8.3 865 2.7

Manufacturing ............................................ 6.0 184.2 -0.8 973 6.5

Trade, transportation, and utilities .............. 17.3 266.0 2.0 781 2.8

Information ................................................. 1.5 33.8 -0.4 1,146 5.0

Financial activities ...................................... 9.9 134.8 7.2 1,296 4.9

Professional and business services ........... 17.5 261.9 8.5 832 -1.1

Education and health services ................... 9.2 129.3 4.3 746 2.8

Leisure and hospitality ............................... 6.7 167.9 4.4 360 2.3

Other services ............................................ 12.9 47.6 4.0 500 2.5

Government ................................................... 1.4 151.2 0.5 904 1.6

See footnotes at end of table.
Table 2. Covered1 establishments, employment, and wages in the ten largest counties,

second quarter 20042 — Continued

County by NAICS supersector

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage4

June

2004

(thousands)

Percent

change,

June

2003-043

Average

weekly

wage

Percent

change,

second quarter

2003-043

San Diego, CA ................................................... 85.1 1,281.5 1.8 $786 3.7

Private industry .............................................. 83.7 1,062.2 2.5 767 3.9

Natural resources and mining .................... 0.9 11.9 -1.9 512 8.2

Construction ............................................... 6.6 87.0 9.0 800 1.9

Manufacturing ............................................ 3.6 105.5 -1.0 1,050 5.2

Trade, transportation, and utilities .............. 14.1 212.9 4.2 657 4.0

Information ................................................. 1.4 36.5 -2.2 1,527 14.6

Financial activities ...................................... 8.9 80.4 0.9 1,029 2.0

Professional and business services ........... 14.8 207.3 3.7 918 3.0

Education and health services ................... 7.6 120.2 0.8 711 4.7

Leisure and hospitality ............................... 6.6 147.8 2.4 343 3.0

Other services ............................................ 19.1 52.2 -0.6 436 2.8

Government ................................................... 1.4 219.3 -1.7 876 3.3

King, WA ............................................................ 76.0 1,099.4 1.0 932 -2.0

Private industry .............................................. 75.5 945.5 1.2 940 -2.8

Natural resources and mining .................... 0.4 3.4 5.0 1,038 -8.9

Construction ............................................... 6.1 55.9 1.7 875 1.0

Manufacturing ............................................ 2.6 102.0 -2.4 1,140 4.3

Trade, transportation, and utilities .............. 14.7 217.5 1.3 798 4.9

Information ................................................. 1.5 67.6 -0.1 2,212 -20.9

Financial activities ...................................... 6.1 75.6 -1.1 1,072 -1.1

Professional and business services ........... 11.9 159.9 4.2 1,062 -1.7

Education and health services ................... 6.0 111.1 3.4 728 4.4

Leisure and hospitality ............................... 5.5 105.6 3.4 398 4.7

Other services ............................................ 20.7 46.8 -6.0 469 8.1

Government ................................................... 0.5 153.9 -0.1 882 3.0

Miami-Dade, FL .................................................. 82.0 981.6 1.8 718 4.2

Private industry .............................................. 81.7 828.0 2.0 686 4.1

Natural resources and mining .................... 0.5 8.9 4.0 412 7.9

Construction ............................................... 5.1 40.8 2.7 756 7.2

Manufacturing ............................................ 2.8 50.6 -1.8 690 11.5

Trade, transportation, and utilities .............. 23.5 237.6 -0.7 651 3.3

Information ................................................. 1.7 26.3 -3.6 1,039 9.7

Financial activities ...................................... 8.6 66.6 2.1 972 4.2

Professional and business services ........... 16.1 135.5 5.9 795 1.0

Education and health services ................... 8.0 125.2 1.9 701 3.2

Leisure and hospitality ............................... 5.4 96.2 5.1 401 6.1

Other services ............................................ 7.6 35.3 -0.4 439 3.8

Government ................................................... 0.3 153.6 1.0 890 4.6

1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE)

programs. 2 Data are preliminary. 3 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications. See

Technical Note. 4 Average weekly wages were calculated using unrounded data. 5 Totals for the United States do not include data for Puerto Rico or the Virgin Islands. 6 Data do not meet BLS or State agency disclosure standards.
Table 3. Covered1 establishments, employment, and wages in the largest county

by state, second quarter 20042

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Average

weekly

wage

Percent

change,

second quarter

2003-044

United States6 .................... 8,363.3 130,638.4 1.2 $724 3.1

Jefferson, AL ...................... 18.5 370.2 0.4 720 2.7

Anchorage Borough, AK .... 7.7 140.9 -2.2 788 3.7

Maricopa, AZ ..................... 80.3 1,599.1 3.0 733 3.5

Pulaski, AR ........................ 13.3 241.8 0.9 664 4.4

Los Angeles, CA ................ 354.4 4,063.4 0.8 815 3.4

Denver, CO ........................ 24.3 426.1 0.4 887 4.6

Hartford, CT ....................... 24.2 485.5 0.2 897 3.9

New Castle, DE ................. 19.0 282.6 1.0 860 3.1

Washington, DC ................. 29.5 665.7 1.7 1,189 3.6

Miami-Dade, FL ................. 82.0 981.6 1.8 718 4.2

Fulton, GA .......................... 37.8 725.9 1.4 940 2.2

Honolulu, HI ....................... 24.0 427.4 2.1 675 2.7

Ada, ID ............................... 13.1 189.4 3.3 669 3.2

Cook, IL ............................. 126.6 2,522.9 -0.3 860 3.0

Marion, IN .......................... 23.6 580.5 0.8 769 5.9

Polk, IA .............................. 14.2 263.9 2.2 711 2.7

Johnson, KS ...................... 18.7 298.7 1.9 751 2.3

Jefferson, KY ..................... 21.4 420.6 -0.1 726 4.9

Orleans, LA ........................ 12.5 252.4 0.5 676 2.4

Cumberland, ME ................ 11.7 173.1 1.8 666 4.2

Montgomery, MD ............... 31.3 455.0 0.0 950 3.6

Middlesex, MA ................... 47.9 787.8 -1.1 1,041 5.8

Wayne, MI .......................... 35.1 797.6 -2.1 857 2.5

Hennepin, MN .................... 40.0 832.0 0.7 916 3.0

Hinds, MS .......................... 6.5 130.8 1.0 635 1.1

St. Louis, MO ..................... 33.7 621.2 -1.0 781 1.6

Yellowstone, MT ................ 5.7 71.7 2.8 579 1.2

Douglas, NE ....................... 14.7 311.9 0.1 669 1.7

Clark, NV ........................... 38.3 805.1 7.3 684 4.4

Hillsborough, NH ................ 12.3 195.8 1.7 792 3.0

Bergen, NJ ......................... 34.2 451.8 -0.1 914 2.1

Bernalillo, NM .................... 16.6 317.0 2.5 649 2.4

New York, NY .................... 112.3 2,225.0 0.6 1,300 3.9

Mecklenburg, NC ............... 27.2 505.8 0.5 835 3.2

Cass, ND ........................... 5.4 89.3 3.1 590 3.9

Cuyahoga, OH ................... 38.2 764.5 -0.3 757 3.4

Oklahoma, OK ................... 21.6 403.0 1.5 635 2.6

Multnomah, OR .................. 25.7 424.5 2.1 752 2.6

Allegheny, PA .................... 37.4 700.5 -0.1 759 3.0

Providence, RI ................... 17.8 288.9 -0.3 713 4.9

Greenville, SC .................... 12.1 223.8 0.2 642 2.1

Minnehaha, SD .................. 6.0 110.8 1.6 606 3.4

Shelby, TN ......................... 19.8 497.3 0.1 735 3.5

Harris, TX ........................... 89.6 1,839.4 0.5 847 3.2

Salt Lake, UT ..................... 34.0 521.2 1.7 671 3.7

Chittenden, VT ................... 5.7 96.5 1.3 722 2.8

Fairfax, VA ......................... 29.8 550.0 4.5 1,085 3.7

King, WA ............................ 76.0 1,099.4 1.0 932 -2.0

Kanawha, WV .................... 6.2 109.1 -0.4 645 3.0

Milwaukee, WI ................... 22.2 496.4 -1.6 726 3.9

See footnotes at end of table.
Table 3. Covered1 establishments, employment, and wages in the largest county

by state, second quarter 20042 — Continued

County3

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage5

June

2004

(thousands)

Percent

change,

June

2003-044

Average

weekly

wage

Percent

change,

second quarter

2003-044

Laramie, WY ...................... 2.9 40.6 1.7 $572 3.2

San Juan, PR ..................... 13.2 321.5 1.3 469 2.2

St. Thomas, VI ................... 1.7 23.0 -0.4 584 1.7

1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal

Employees (UCFE) programs. 2 Data are preliminary. 3 Includes areas not officially designated as counties. See Technical Note. 4 Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county

reclassifications. See Technical Note. 5 Average weekly wages were calculated using unrounded data. 6 Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Table 4. Covered1 establishments, employment, and wages by state, 

second quarter 20042

State

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage3

June

2004

(thousands)

Percent

change,

June

2003-04

Average

weekly

wage

Percent

change,

second quarter

2003-04

United States4 .................... 8,363.3 130,638.4 1.2 $724 3.1

Alabama ............................. 113.7 1,858.5 1.6 619 2.7

Alaska ................................ 20.1 306.4 0.2 736 1.8

Arizona ............................... 126.4 2,302.9 3.3 694 3.3

Arkansas ............................ 75.8 1,138.6 1.6 568 3.8

California ............................ 1,181.3 15,145.4 0.8 818 3.5

Colorado ............................ 162.6 2,171.6 1.3 744 2.8

Connecticut ........................ 109.2 1,658.1 0.4 906 3.5

Delaware ............................ 28.7 417.8 2.1 774 3.3

District of Columbia ............ 29.5 665.7 1.7 1,189 3.6

Florida ................................ 523.4 7,387.6 3.1 656 4.0

Georgia .............................. 251.9 3,858.8 1.9 700 2.5

Hawaii ................................ 36.7 585.4 2.6 652 2.8

Idaho .................................. 48.9 606.8 2.9 555 3.2

Illinois ................................. 327.3 5,777.5 0.1 771 2.8

Indiana ............................... 152.5 2,874.2 1.2 646 3.7

Iowa ................................... 91.6 1,449.9 1.4 591 3.3

Kansas ............................... 81.9 1,312.3 1.0 608 2.9

Kentucky ............................ 105.9 1,744.9 0.9 628 3.3

Louisiana ........................... 115.9 1,884.8 0.8 592 2.1

Maine ................................. 48.9 613.6 1.3 587 3.2

Maryland ............................ 153.7 2,491.6 0.8 787 3.6

Massachusetts ................... 209.6 3,192.4 -0.4 899 5.9

Michigan ............................ 253.9 4,365.4 -0.6 743 1.6

Minnesota .......................... 156.1 2,660.1 1.1 743 2.8

Mississippi ......................... 66.2 1,109.3 1.2 534 2.5

Missouri ............................. 167.4 2,668.8 0.6 651 1.9

Montana ............................. 42.5 418.5 3.4 528 1.3

Nebraska ........................... 55.1 895.9 0.9 579 2.5

Nevada .............................. 62.7 1,146.9 6.5 685 4.1

New Hampshire ................. 47.2 624.7 1.5 717 3.5

New Jersey ........................ 265.7 3,960.4 0.8 872 2.5

New Mexico ....................... 50.4 770.6 2.3 596 2.9

New York ........................... 554.9 8,383.0 0.5 879 3.4

North Carolina .................... 229.5 3,791.3 1.6 638 2.7

North Dakota ...................... 24.2 326.5 2.3 539 4.5

Ohio ................................... 286.9 5,359.0 0.3 672 2.8

Oklahoma .......................... 92.4 1,423.2 1.0 578 2.3

Oregon ............................... 121.2 1,635.8 3.1 670 2.9

Pennsylvania ..................... 333.2 5,576.5 0.6 710 3.0

Rhode Island ...................... 34.9 486.7 0.8 694 3.3

South Carolina ................... 111.8 1,811.8 1.4 595 3.1

South Dakota ..................... 28.4 381.7 1.9 525 3.6

Tennessee ......................... 129.6 2,649.5 1.6 647 2.9

Texas ................................. 508.6 9,344.0 1.2 706 2.8

Utah ................................... 75.3 1,081.2 3.3 603 2.6

Vermont ............................. 24.2 302.0 1.2 634 4.3

Virginia ............................... 205.5 3,545.1 2.7 745 3.6

Washington ........................ 209.5 2,759.8 2.2 750 0.4

West Virginia ...................... 47.7 693.7 1.1 589 2.8

Wisconsin .......................... 159.8 2,762.9 0.6 644 2.7

See footnotes at end of table.
Table 4. Covered1 establishments, employment, and wages by state, 

second quarter 20042 — Continued

State

Establishments,

second quarter

2004

(thousands)

Employment Average weekly wage3

June

2004

(thousands)

Percent

change,

June

2003-04

Average

weekly

wage

Percent

change,

second quarter

2003-04

Wyoming ............................ 22.6 259.2 2.6 $586 4.1

Puerto Rico ........................ 51.7 1,041.1 1.8 407 2.3

Virgin Islands ..................... 3.2 42.7 2.2 616 2.7

1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal

Employees (UCFE) programs. 2 Data are preliminary. 3 Average weekly wages were calculated using unrounded data. 4 Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Chart 1. Percent change in employment in counties with 75,000 emp

June 200304 (U.S. Average = 1.2%)

Note: The following counties have fewer than 75,000 employees

but are included because they are the largest county in their state

or territory: Laramie, Wyo., Yellowstone, Mont., and St. Thomas, V.I.

So

Ja
Chart 2. Percent change in average weekly wage in counties with 75

or more, second quarter 200304 (U.S. Average = 3.1%)

Note: The following counties have fewer than 75,000 employees

but are included because they are the largest county in their state

or territory: Laramie, Wyo., Yellowstone, Mont., and St. Thomas, V.I.

So

Ja