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15-39-CHI
Thursday, January 15, 2015

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County Employment and Wages in Iowa – Second Quarter 2014

The five largest counties in Iowa reported employment growth from June 2013 to June 2014, the U.S. Bureau of Labor Statistics reported today. (Large counties are defined as those with employment of 75,000 or more as measured by 2013 annual average employment.) Polk County had the largest increase, up 3.0 percent, followed by Linn and Scott Counties, each up 1.2 percent. Regional Commissioner Charlene Peiffer noted that only Polk County experienced an over-the-year employment gain greater than the national increase of 2.0 percent. (See table 1.)

Among the five largest counties in Iowa, employment was highest in Polk County (290,300) in June 2014. Collectively, Iowa’s five large counties accounted for 43.2 percent of total employment within the state. Nationwide, the 339 largest counties made up 71.8 percent of total U.S. employment, which stood at 137.8 million in June 2014.

The average weekly wage in Johnson County rose 3.3 percent from the second quarter of 2013 to the second quarter of 2014, the largest increase among Iowa’s large counties. Polk County had the highest average weekly wage in the state at $920, followed by Linn ($894) and Johnson ($874) Counties. (See table 1.) Nationally, the average weekly wage rose 2.1 percent over the year to $940 in the second quarter of 2014.

Employment and wage levels (but not over-the-year changes) are also available for the 94 counties in Iowa with employment below 75,000. All of these smaller counties had average weekly wages below the national average. (See table 2.)

Large county wage changes

Three of Iowa’s large counties recorded wage growth above the national increase of 2.1 percent from the second quarter of 2013 to the second quarter of 2014. (See table 1.) As noted, Johnson County experienced the state’s largest average weekly wage increase of 3.3 percent, ranking 41st among the 339 largest U.S. counties. This was followed by Black Hawk County (2.8 percent) and Polk County (2.4 percent), which ranked 79th and 104th, respectively, nationwide.

Among the 339 largest counties in the U.S., 312 had over-the-year increases in average weekly wages in the second quarter of 2014. Midland, Texas, had the largest wage increase (9.0 percent). Twenty-two large counties experienced over-the-year decreases in average weekly wages, of which Williamson, Texas, had the largest decrease (-2.7 percent).

Large county average weekly wages

Average weekly wages in all five large Iowa counties were below the national average of $940 in the second quarter of 2014. As noted, Polk County ($920) had the highest average weekly wage in the state and ranked 125th among the 339 largest counties in the nation. Scott County ($766) reported the lowest average weekly wage of Iowa’s large counties and ranked 280th nationwide.

Nationally, Santa Clara, Calif., held the top position among the 339 large counties with an average weekly wage of $1,886. San Mateo, Calif., was second at $1,740, followed by New York, N.Y. ($1,732) and San Francisco, Calif. ($1,593).

Average weekly wages in Iowa’s smaller counties

All 94 counties in Iowa with employment below 75,000 had average weekly wages below the national average of $940. Among these smaller counties, Dallas County had the highest average weekly wage at $895 and Decatur County had the lowest at $529. (See table 2.)

When all 99 counties in Iowa were considered, none had wages above the national average. Six reported average weekly wages of $599 or less, 31 reported wages from $600 to $649, 31 had wages from $650 to $699, and 31 had wages of $700 or more. (See chart 1.)

Additional statistics and other information

QCEW data for states have been included in this release in table 3. For additional information about quarterly employment and wages data, please read the Technical Note or visit www.bls.gov/cew.

Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2013 edition of this publication contains selected data produced by Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2014 version of the national news release. Tables and additional content from Employment and Wages Annual Averages 2013 are now available online at www.bls.gov/cew/cewbultn13.htm. The 2014 edition of Employment and Wages Annual Averages Online will be available in September 2015.

The County Employment and Wages release for third quarter 2014 is scheduled to be released on Thursday, March 19, 2015, at 9:00 a.m. (CT).


Technical Note

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 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 9.4 million employer reports cover 137.8 million full- and part-time workers. The average weekly wage values are calculated by dividing quarterly total wages by the average of the three monthly employment levels of those covered by UI programs. The result is then divided by 13, the number of weeks in a quarter. It is to be noted, therefore, that over-the-year wage changes for geographic areas may reflect shifts in the composition of employment by industry, occupation, and such other factors as hours of work. Thus, wages may vary among counties, metropolitan areas, or states for reasons other than changes in the average wage level. Data for all states, Metropolitan Statistical Areas (MSAs), counties, and the nation are available on the BLS Web site at www.bls.gov/cew; however, data in QCEW press releases have been revised and may not match the data contained on the Bureau’s Web site.

QCEW data are not designed as a time series. QCEW data are simply the sums of individual establishment records reflecting 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—some reflecting economic events, others reflecting administrative changes.

The preliminary QCEW data presented in this release may differ from data released by the individual states as well as from the data presented on the BLS Web site. These potential differences result from the states’ continuing receipt, review and editing of UI data over time. On the other hand, differences between data in this release and the data found on the BLS Web site are the result of adjustments made to improve over-the-year comparisons. Specifically, these adjustments account for administrative (noneconomic) changes such as a correction to a previously reported location or industry classification. Adjusting for these administrative changes allows users to more accurately assess changes of an economic nature (such as a firm moving from one county to another or changing its primary economic activity) over a 12-month period. Currently, adjusted data are available only from BLS press releases.

Information in this release will be made available to sensory impaired individuals upon request. Voice phone: 202-691-5200; Federal Relay Service: 1-800-877-8339.

Table 1. Covered employment and wages in the United States and the 5 largest counties in Iowa, second quarter 2014
Area Employment Average Weekly Wage (1)
June
2014
(thousands)
Percent
change,
June
2013-14 (2)
National
ranking by
percent change (3)
Average
weekly
wage
National
ranking
by level (3)
Percent
change,
second
quarter
2013-14 (2)
National
ranking by
percent
change (3)

United States (4)

137,776.4 2.0 -- $940 -- 2.1 --

Iowa

1,547.8 1.6 -- 780 43 3.0 7

Black Hawk, Iowa

76.1 0.3 295 780 264 2.8 79

Johnson, Iowa

80.9 1.1 235 874 164 3.3 41

Linn, Iowa

130.4 1.2 222 894 148 1.6 195

Polk, Iowa

290.3 3.0 70 920 125 2.4 104

Scott, Iowa

91.5 1.2 222 766 280 2.0 143

Footnotes:
(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.
(3) Ranking does not include data for Puerto Rico or the Virgin Islands.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
 

NOTE: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
 

Table 2. Covered employment and wages in the United States and all counties in Iowa, 2nd quarter 2014
Area Employment June 2014 Average weekly wage (1)

United States (2)

137,776,364 $940

  Iowa

1,547,848 780

    Adair

2,892 638

    Adams

1,288 615

    Allamakee

5,471 573

    Appanoose

4,639 613

    Audubon

1,912 613

    Benton

5,898 629

    Black Hawk

76,127 780

    Boone

9,857 689

    Bremer

10,362 708

    Buchanan

6,750 634

    Buena Vista

11,143 648

    Butler

3,906 636

    Calhoun

3,126 600

    Carroll

11,935 658

    Cass

6,278 630

    Cedar

5,633 656

    Cerro Gordo

24,428 708

    Cherokee

5,272 666

    Chickasaw

5,034 681

    Clarke

4,326 637

    Clay

9,074 695

    Clayton

6,940 653

    Clinton

22,334 686

    Crawford

7,558 687

    Dallas

38,542 895

    Davis

1,984 608

    Decatur

2,402 529

    Delaware

6,820 722

    Des Moines

23,140 726

    Dickinson

10,431 631

    Dubuque

58,458 744

    Emmet

4,234 668

    Fayette

7,413 632

    Floyd

5,717 672

    Franklin

4,310 758

    Fremont

2,845 673

    Greene

3,277 704

    Grundy

4,350 731

    Guthrie

3,231 666

    Hamilton

5,990 656

    Hancock

7,005 756

    Hardin

7,415 665

    Harrison

4,372 618

    Henry

9,203 712

    Howard

4,279 641

    Humboldt

4,141 680

    Ida

3,607 705

    Iowa

9,858 689

    Jackson

6,311 562

    Jasper

11,763 692

    Jefferson

7,440 679

    Johnson

80,871 874

    Jones

6,765 679

    Keokuk

2,511 645

    Kossuth

7,171 726

    Lee

16,703 782

    Linn

130,427 894

    Louisa

3,761 630

    Lucas

3,341 695

    Lyon

4,799 611

    Madison

3,796 631

    Mahaska

8,231 653

    Marion

17,244 769

    Marshall

18,753 732

    Mills

4,231 757

    Mitchell

3,690 708

    Monona

2,952 583

    Monroe

3,717 816

    Montgomery

4,388 649

    Muscatine

23,303 841

    O'Brien

6,693 618

    Osceola

2,346 658

    Page

6,420 673

    Palo Alto

3,878 616

    Plymouth

11,245 762

    Pocahontas

3,147 689

    Polk

290,338 920

    Pottawattamie

39,004 708

    Poweshiek

9,989 740

    Ringgold

1,424 605

    Sac

3,378 616

    Scott

91,528 766

    Shelby

6,269 635

    Sioux

20,715 662

    Story

45,696 828

    Tama

4,997 617

    Taylor

2,011 596

    Union

6,522 646

    Van Buren

2,129 617

    Wapello

16,238 684

    Warren

10,581 671

    Washington

8,698 588

    Wayne

1,937 653

    Webster

18,486 763

    Winnebago

4,438 615

    Winneshiek

10,770 658

    Woodbury

53,150 694

    Worth

2,436 600

    Wright

6,010 745

Data are preliminary.

 

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

Table 3. Covered employment and wages by state, second quarter 2014
State Employment Average weekly wage (1)
June 2014 (thousands) Percent change, June 2013-14 Average weekly wage National ranking by level Percent change, second quarter 2013-14 National ranking by percent change

United States (2)

137,776.4 2.0 $940 -- 2.1 --

Alabama

1,872.9 0.7 806 36 1.6 38

Alaska

344.9 0.5 1,014 8 4.6 2

Arizona

2,486.0 1.9 888 21 1.3 43

Arkansas

1,168.1 1.5 745 47 1.5 41

California

15,905.6 2.8 1,072 6 2.4 15

Colorado

2,439.3 3.4 960 14 2.9 8

Connecticut

1,676.6 0.6 1,155 3 2.5 13

Delaware

429.0 2.5 976 11 1.2 44

District of Columbia

732.6 1.0 1,569 1 -0.5 51

Florida

7,628.6 3.1 839 28 2.1 23

Georgia

4,036.3 3.1 882 22 1.7 35

Hawaii

624.6 1.1 845 26 2.7 10

Idaho

659.2 2.5 697 51 2.2 22

Illinois

5,836.9 1.5 988 10 1.9 32

Indiana

2,916.9 1.8 784 42 1.2 44

Iowa

1,547.8 1.6 780 43 3.0 7

Kansas

1,372.8 1.7 797 38 2.3 20

Kentucky

1,820.8 1.7 798 37 2.0 27

Louisiana

1,921.6 1.4 843 27 2.4 15

Maine

610.4 0.8 746 46 2.1 23

Maryland

2,594.4 0.9 1,020 7 1.6 38

Massachusetts

3,407.0 1.4 1,158 2 2.4 15

Michigan

4,164.7 2.3 897 20 2.3 20

Minnesota

2,782.0 1.3 947 16 1.9 32

Mississippi

1,101.1 0.5 705 50 2.0 27

Missouri

2,703.2 1.3 818 31 1.9 32

Montana

453.4 1.1 734 48 2.4 15

Nebraska

956.2 1.4 756 45 2.7 10

Nevada

1,210.1 3.4 833 30 0.6 50

New Hampshire

637.2 1.2 955 15 4.3 3

New Jersey

3,944.8 0.8 1,097 5 1.2 44

New Mexico

801.0 0.6 794 40 1.7 35

New York

8,965.2 1.8 1,146 4 2.4 15

North Carolina

4,080.7 2.4 818 31 1.2 44

North Dakota

453.0 4.4 936 17 5.5 1

Ohio

5,233.8 1.4 846 25 2.1 23

Oklahoma

1,578.0 1.0 816 33 2.6 12

Oregon

1,748.4 2.4 874 23 2.9 8

Pennsylvania

5,719.8 1.0 933 18 1.6 38

Rhode Island

472.9 1.6 898 19 2.0 27

South Carolina

1,916.4 2.7 765 44 2.5 13

South Dakota

422.9 1.4 712 49 3.3 4

Tennessee

2,755.7 1.8 836 29 2.0 27

Texas

11,402.8 3.0 973 13 3.1 5

Utah

1,297.5 2.9 796 39 1.7 35

Vermont

307.0 1.0 813 35 0.7 49

Virginia

3,710.8 0.7 976 11 0.8 48

Washington

3,109.6 3.2 990 9 2.1 23

West Virginia

711.3 -0.3 792 41 1.4 42

Wisconsin

2,809.1 1.3 816 33 2.0 27

Wyoming

295.3 1.6 871 24 3.1 5

Puerto Rico

897.0 -2.0 504 (3) 0.6 (3)

Virgin Islands

37.8 -2.2 728 (3) 2.8 (3)

Footnotes:
(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.
(3) Data not included in the national ranking.
 

NOTE: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
 

 Chart 1. Average weekly wages by county in Iowa, second quarter 2014

 

Last Modified Date: Thursday, January 15, 2015