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Friday, February 8, 2013

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County Employment and Wages in South Dakota – Second Quarter 2012


South Dakota’s only large county, Minnehaha, reported employment growth of 2.7 percent from June 2011 to June 2012, 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 2011 annual average employment.) Regional Commissioner Charlene Peiffer noted that in June 2012, Minnehaha County’s employment level of 118,300 accounted for 28.7 percent of total employment within the state.

Nationally, employment rose 1.8 percent during this 12-month period, as 287 of the 328 largest U.S. counties gained jobs. Nationwide, the 328 largest counties made up 70.9 percent of total U.S. employment, which stood at 132.9 million in June 2012.

The average weekly wage in Minnehaha County was $763 in the second quarter of 2012, 3.2 percent higher than one year ago. (See table 1.) Nationally, the average weekly wage rose 1.3 percent over the year to $903 in the second quarter of 2012.

Employment and wage levels (but not over-the-year changes) are also available for the 65 counties in South Dakota with employment below 75,000. All 65 of these smaller counties had average weekly wages below the national average (See table 2.)

Large county wage changes

Minnehaha County’s 3.2-percent wage growth from the second quarter of 2011 to the second quarter of 2012 ranked 37th nationally. (See table 1.) Among the 328 largest counties in the U.S., 233 had over-the-year increases in average weekly wages in the second quarter of 2012. Washington, Ore., ranked first in average weekly wage growth with an increase of 8.5 percent. Williamson, Texas, had the largest wage decline with a loss of 17.0 percent over the year.

Large county average weekly wages

Minnehaha County’s $763 average wage placed in the bottom quartile among the 328 large counties, ranking 251st. Nationally, weekly wages were higher than average in 109 of the 328 largest U.S. counties. Santa Clara, Calif., held the top position among the highest-paid large counties with an average weekly wage of $1,754. New York, N.Y., was second at $1,646, followed by Washington, D.C. ($1,544) and San Mateo, Calif. ($1,515). Among the 219 large counties with an average weekly wage below the U.S. average in the second quarter of 2012, Horry, S.C. ($532) reported the lowest wage.

Average weekly wages in South Dakota's smaller counties

All 65 counties in South Dakota with employment below 75,000 had average weekly wages lower than the national average of $903. Among these smaller counties, Union County had the highest average weekly wage at $848 and Mellette County had the lowest at $426. (See table 2.)

When all 66 counties in South Dakota were considered, none had wages above the national average of $903. Twenty-seven reported average weekly wages under $550, 15 had wages from $550 to $599, 11 reported wages from $600 to $649, 8 had wages from $650 to $699, and 5 had wages of $700 or more. (See chart 1.)

Additional statistics and other information

Quarterly 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 the QCEW Web site at 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 2011 edition of this publication, which was published in October 2012, contains selected data produced by Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2012 version of the national news release. Tables and additional content from the Employment and Wages Annual 2011 are now available online at www.bls.gov/cew/cewbultn11htm. The 2012 edition of Employment and Wages Annual Averages Online will be available later in 2013.

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

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 9.2 million employer reports covered 132.9 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 www.bls.gov/cew/; however, data in QCEW press releases have been revised and may not match the data contained on the BLS 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.


Table 1. Covered (1) employment and wages in the United States and the largest county in South Dakota, second quarter 2012 (2)
Area Employment Average weekly wage (3)
June 2012 (thousands) Percent change, June 2011-12 (4) National ranking by percent change (5) Average weekly wage National ranking by level (5) Percent change, second quarter 2011-12 (4) National ranking by percent change (5)

United States (6)

132,896.0 1.8 -- $903 -- 1.3 --

South Dakota

412.8 1.9 -- 677 50 3.2 2

Minnehaha, S.D.

118.3 2.7 72 763 251 3.2 37

Footnotes:
(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) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications.
(5) Ranking does not include the county of San Juan, Puerto Rico.
(6) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.


Table 2. Covered (1) employment and wages in the United States and all counties in South Dakota, second quarter 2012 (2)
Area Employment June 2012 Average weekly wage (3)

United States (4)

132,896,015 $903

South Dakota

412,758 677

Aurora

1,027 522

Beadle

8,811 644

Bennett

880 524

Bon Homme

1,898 518

Brookings

16,812 698

Brown

20,962 674

Brule

2,052 501

Buffalo

539 657

Butte

2,751 553

Campbell

500 508

Charles Mix

3,649 530

Clark

1,030 516

Clay

6,035 596

Codington

16,336 639

Corson

863 621

Custer

3,181 554

Davison

12,408 628

Day

2,024 514

Deuel

1,695 610

Dewey

2,291 614

Douglas

1,203 553

Edmunds

1,265 595

Fall River

2,608 575

Faulk

592 583

Grant

3,725 637

Gregory

1,561 483

Haakon

759 576

Hamlin

1,827 546

Hand

1,337 522

Hanson

574 553

Harding

436 653

Hughes

10,869 676

Hutchinson

2,660 532

Hyde

573 661

Jackson

861 499

Jerauld

1,706 560

Jones

499 453

Kingsbury

2,005 545

Lake

4,737 626

Lawrence

11,746 563

Lincoln

16,612 740

Lyman

1,516 475

Marshall

1,826 596

McCook

1,410 536

McPherson

640 472

Meade

6,790 655

Mellette

357 426

Miner

766 536

Minnehaha

118,322 763

Moody

2,333 631

Pennington

56,490 663

Perkins

1,074 523

Potter

914 525

Roberts

3,531 556

Sanborn

687 522

Shannon

3,789 708

Spink

2,458 577

Stanley

1,422 546

Sully

647 539

Todd

2,905 641

Tripp

2,162 558

Turner

2,198 529

Union

8,819 848

Walworth

2,335 511

Yankton

12,728 638

Ziebach

263 722

Footnotes:
(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.


Table 3. Covered (1) employment and wages by state, second quarter 2012 (2)
State Employment Average weekly wage (3)
June
2012
(thousands)
Percent change,
June
2011-12
Average
weekly
wage
National
ranking by
level
Percent change,
second quarter
2011-12
National
ranking by
percent change

United States (4)

132,896.0 1.8 $903 -- 1.3 --

Alabama

1,841.7 0.9 783 34 2.0 20

Alaska

342.9 2.1 955 8 1.5 29

Arizona

2,393.9 2.6 862 18 2.1 17

Arkansas

1,157.4 1.1 717 47 2.1 17

California

15,045.8 2.4 1,034 6 1.8 24

Colorado

2,291.8 2.5 918 14 2.0 20

Connecticut

1,650.0 1.2 1,111 2 -0.4 50

Delaware

409.3 0.2 948 11 2.4 13

District of Columbia

717.9 0.9 1,544 1 0.3 44

Florida

7,233.7 2.0 805 30 0.4 42

Georgia

3,854.7 1.4 848 22 1.9 22

Hawaii

603.7 2.1 812 28 1.8 24

Idaho

626.1 1.5 673 51 0.9 38

Illinois

5,698.0 1.1 953 9 1.6 27

Indiana

2,832.6 2.3 763 41 1.9 22

Iowa

1,502.7 1.5 743 43 2.5 12

Kansas

1,334.4 1.7 763 41 1.1 35

Kentucky

1,780.7 1.6 772 38 1.6 27

Louisiana

1,877.2 1.6 806 29 1.5 29

Maine

601.8 1.2 719 45 1.0 37

Maryland

2,550.2 1.5 992 7 0.7 39

Massachusetts

3,301.5 1.9 1,109 3 -1.2 51

Michigan

3,984.0 2.1 859 19 1.7 26

Minnesota

2,695.1 1.5 907 15 1.1 35

Mississippi

1,087.4 0.6 681 49 2.9 3

Missouri

2,629.1 0.4 791 32 2.2 15

Montana

442.0 2.0 700 48 2.6 8

Nebraska

930.9 2.0 719 45 0.7 39

Nevada

1,141.7 1.6 815 27 -0.1 48

New Hampshire

623.8 1.4 891 17 0.3 44

New Jersey

3,884.0 1.4 1,056 5 0.0 47

New Mexico

791.9 0.4 783 34 2.6 8

New York

8,701.2 1.5 1,096 4 0.4 42

North Carolina

3,919.1 1.5 787 33 0.5 41

North Dakota

420.3 9.9 854 21 11.1 1

Ohio

5,104.0 1.9 817 25 2.8 4

Oklahoma

1,543.4 1.9 768 39 2.7 6

Oregon

1,663.9 1.6 837 24 2.3 14

Pennsylvania

5,645.9 0.7 893 16 2.1 17

Rhode Island

463.1 0.9 859 19 -0.3 49

South Carolina

1,830.7 1.5 736 44 1.4 31

South Dakota

412.8 1.9 677 50 3.2 2

Tennessee

2,669.1 2.0 816 26 2.8 4

Texas

10,779.5 3.0 922 13 2.6 8

Utah

1,225.8 3.6 766 40 1.3 34

Vermont

300.2 1.0 792 31 2.6 8

Virginia

3,659.9 1.2 952 10 0.3 44

Washington

2,948.3 2.4 947 12 2.2 15

West Virginia

712.3 1.4 776 37 1.4 31

Wisconsin

2,749.7 1.4 778 36 1.4 31

Wyoming

288.9 1.6 842 23 2.7 6

Puerto Rico

933.3 1.8 499 (5) 0.6 (5)

Virgin Islands

40.2 -8.6 819 (5) 9.8 (5)

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

Chart 1. Average weekly wages by county in South Dakota, second quarter 2012

Last Modified Date: February 8, 2013

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