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17-1593-CHI
Friday, January 19, 2018

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County Employment and Wages in South Dakota — Second Quarter 2017

South Dakota’s only large county, Minnehaha, reported employment growth of 1.3 percent from June 2016 to June 2017, 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 2016 annual average employment.) Assistant Commissioner for Regional Operations Charlene Peiffer noted that in June 2017, Minnehaha County’s employment level of 127,500 accounted for 29.3 percent of total employment within the state. (See table 1.)

Nationally, employment rose 1.7 percent from June 2016 to June 2017, as 318 of the 346 largest U.S. counties gained jobs. Nationwide, the 346 largest counties made up 72.7 percent of total U.S. employment, which stood at 145.2 million in June 2017.

The average weekly wage in Minnehaha County was $876 in the second quarter of 2017, up 3.4 percent from the previous year. Nationally, the average weekly wage rose 3.2 percent over the year to $1,020 in the second quarter of 2017.

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 3.4-percent wage growth from the second quarter of 2016 to the second quarter of 2017 ranked 134th nationally. (See table 1.) Among the 346 largest U.S. counties, 325 had over-the-year increases in average weekly wages in the second quarter of 2017. New Hanover, N.C., ranked first in average weekly wage growth with a gain of 11.9 percent. Nineteen of the 346 largest counties experienced over-the-year decreases in average weekly wages. McLean, Ill., had the largest percentage decline in average weekly wages with a loss of 20.4 percent.

Large county average weekly wages

Minnehaha County’s $876 average weekly wage ranked 229th among the 346 large U.S. counties in the second quarter of 2017. Nationwide, weekly wages were higher than the U.S. average of $1,020 in 97 of the largest U.S. counties. Santa Clara, Calif., held the top position with an average weekly wage of $2,392. San Mateo, Calif., was second at $2,093, followed by San Francisco, Calif. ($1,941), and New York, N.Y. ($1,907). Cameron, Texas ($615) reported the lowest weekly wage, followed by Horry, S.C. ($622) and the Texas counties of Hidalgo ($632) and Webb ($667).

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 $1,020. Among these smaller counties, Union County had the highest average weekly wage at $944, and Mellette County had the lowest at $486. (See table 2.)

When all 66 counties in South Dakota were considered, 10 reported average weekly wages of $599 or lower, 18 had wages from $600 to $649, 14 reported wages from $650 to $699, 12 reported wages from $700 to $749, and 12 had wages of $750 or higher. (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 2016 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 2017 version of the national news release. Tables and additional content from Employment and Wages Annual Averages Online are now available at www.bls.gov/cew/cewbultn16.htm.

The County Employment and Wages release for third quarter 2017 is scheduled to be released on Thursday, March 8, 2018.


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 9.9 million employer reports cover 145.2 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: (800) 877-8339.

Table 1. Covered employment and wages in the United States and the largest county in South Dakota, second quarter 2017
Area Employment Average weekly wage (1)
June 2017 (thousands) Percent change, June 2016-17 (2) National ranking by percent change (3) Average weekly wage National ranking by level (3) Percent change, second quarter 2016-17 (2) National ranking by percent change (3)

United States (4)

145,186.4 1.7 -- $1,020 -- 3.2 --

South Dakota

435.5 0.6 -- 785 49 3.4 16

Minnehaha, S.D.

127.5 1.3 200 876 229 3.4 134

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 South Dakota, second quarter 2017
Area Employment June 2017 Average weekly wage(1)

United States(2)

145,186,369 $1,020

South Dakota

435,475 785

Aurora

937 608

Beadle

8,817 736

Bennett

892 627

Bon Homme

1,893 631

Brookings

18,447 805

Brown

21,243 771

Brule

1,952 588

Buffalo

535 711

Butte

2,908 621

Campbell

487 591

Charles Mix

3,606 630

Clark

1,060 611

Clay

5,902 717

Codington

16,232 720

Corson

869 734

Custer

2,972 597

Davison

12,456 732

Day

2,046 604

Deuel

1,500 708

Dewey

2,226 725

Douglas

1,151 617

Edmunds

1,283 685

Fall River

2,619 681

Faulk

644 576

Grant

3,947 742

Gregory

1,535 571

Haakon

817 785

Hamlin

2,023 686

Hand

1,430 615

Hanson

618 657

Harding

446 695

Hughes

11,100 805

Hutchinson

2,707 651

Hyde

574 709

Jackson

880 534

Jerauld

1,563 654

Jones

495 536

Kingsbury

1,873 651

Lake

4,912 752

Lawrence

12,282 633

Lincoln

22,492 879

Lyman

1,454 553

Marshall

1,708 701

McCook

1,396 650

McPherson

613 589

Meade

7,162 756

Mellette

322 486

Miner

765 632

Minnehaha

127,464 876

Moody

2,620 699

Oglala Lakota

3,679 800

Pennington

59,595 760

Perkins

1,360 614

Potter

930 634

Roberts

3,669 655

Sanborn

592 601

Spink

2,456 680

Stanley

1,417 639

Sully

648 701

Todd

2,986 695

Tripp

2,202 677

Turner

2,198 644

Union

9,813 944

Walworth

2,321 647

Yankton

12,899 761

Ziebach

294 637

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.
 

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

Table 3. Covered employment and wages by state, second quarter 2017
State Employment Average weekly wage (1)
June 2017 (thousands) Percent change, June 2016-17 Average weekly wage National ranking by level Percent change, second quarter 2016-17 National ranking by percent change

United States (2)

145,186.4 1.7 $1,020 -- 3.2 --

Alabama

1,946.4 1.2 858 38 2.8 31

Alaska

338.4 -0.7 1,005 16 -0.5 51

Arizona

2,699.6 2.9 943 23 2.5 35

Arkansas

1,206.0 0.7 810 47 3.2 22

California

17,150.9 2.2 1,210 5 4.7 3

Colorado

2,638.8 2.5 1,042 11 4.2 5

Connecticut

1,701.2 0.6 1,216 4 0.4 50

Delaware

446.6 0.6 1,012 15 2.2 43

District of Columbia

766.5 1.0 1,675 1 3.3 19

Florida

8,390.6 2.8 905 27 2.5 35

Georgia

4,357.8 2.1 956 21 2.9 27

Hawaii

653.0 1.0 935 24 3.5 13

Idaho

723.5 3.4 765 50 3.4 16

Illinois

6,006.6 0.9 1,062 9 2.4 39

Indiana

3,041.0 1.5 859 37 3.7 9

Iowa

1,571.4 0.4 853 39 3.3 19

Kansas

1,377.8 -0.1 849 40 2.4 39

Kentucky

1,889.4 0.8 862 35 2.9 27

Louisiana

1,907.7 0.0 869 34 2.0 46

Maine

629.1 0.9 814 46 2.5 35

Maryland

2,694.8 1.4 1,103 8 3.1 23

Massachusetts

3,604.5 1.6 1,278 2 3.6 11

Michigan

4,365.3 1.6 969 19 2.9 27

Minnesota

2,902.1 2.0 1,037 12 3.9 6

Mississippi

1,128.9 0.7 732 51 0.8 49

Missouri

2,818.7 1.2 889 30 3.0 25

Montana

473.6 1.3 797 48 3.9 6

Nebraska

984.0 0.4 833 43 3.5 13

Nevada

1,333.5 3.4 900 29 2.9 27

New Hampshire

665.4 1.6 1,015 14 1.2 48

New Jersey

4,123.5 1.8 1,173 6 2.3 41

New Mexico

815.4 0.7 823 45 1.5 47

New York

9,417.4 1.6 1,237 3 2.2 43

North Carolina

4,361.4 1.8 902 28 4.3 4

North Dakota

422.7 -0.2 953 22 5.0 2

Ohio

5,422.8 1.2 912 25 3.3 19

Oklahoma

1,583.8 0.8 845 41 2.5 35

Oregon

1,912.6 2.2 967 20 3.8 8

Pennsylvania

5,859.4 1.3 1,000 17 3.0 25

Rhode Island

487.3 1.0 980 18 2.6 33

South Carolina

2,053.9 2.0 834 42 3.6 11

South Dakota

435.5 0.6 785 49 3.4 16

Tennessee

2,948.1 1.8 906 26 3.5 13

Texas

12,059.6 2.1 1,027 13 2.7 32

Utah

1,440.3 3.4 862 35 2.6 33

Vermont

314.2 1.0 870 33 2.1 45

Virginia

3,886.6 1.5 1,047 10 3.7 9

Washington

3,352.5 2.2 1,141 7 5.6 1

West Virginia

690.9 -0.3 828 44 3.4 16

Wisconsin

2,905.3 1.1 876 31 2.3 41

Wyoming

280.2 -0.7 875 32 3.1 23

Puerto Rico

873.6 -1.0 515 (3) 1.2 (3)

Virgin Islands

38.6 0.4 762 (3) 2.6 (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.
 

 

Last Modified Date: Friday, January 19, 2018