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News Release Information

23-2585-CHI
Wednesday, December 27, 2023

Contacts Technical information: Media contact:
  • (312) 353-1138

County Employment and Wages in South Dakota — Second Quarter 2023

South Dakota’s only large county, Minnehaha, reported an employment increase of 4.0 percent from June 2022 to June 2023, the U.S. Bureau of Labor Statistics reported today. (Large counties are those with annual average employment levels of 75,000 or more in 2022.) Regional Commissioner Jason Palmer noted that in June 2023, Minnehaha County’s employment level was 138,500. (See table 1.)

National employment increased 2.4 percent over the year, with 337 of the 360 largest U.S. counties reporting gains. Midland, TX, had the largest increase in employment (+7.0 percent). Elkhart, IN, had the largest over-the-year percentage decrease in employment (-7.7 percent).

Minnehaha County’s employment accounted for 29.7 percent of total employment within the state. Within the county’s private industry, health care and social assistance accounted for the largest employment in June 2023. Nationwide, the 360 largest counties made up 72.9 percent of total U.S. employment.

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 smaller counties had wage levels below the national average of $1,332 in the second quarter of 2023. (See table 2.)

Large county wage changes

Minnehaha County’s 1.3-percent wage growth from the second quarter of 2022 to the second quarter of 2023 was less than the national rate of 3.2 percent. Among the 360 largest counties in the United States, 332 had over-the-year wage increases. Clayton, GA, had the largest percentage wage increase (+17.2 percent). Elkhart, IN, had the largest over-the-year percentage decrease (-13.2 percent).

Large county average weekly wages

Minnehaha County’s $1,134 average weekly wage ranked 220th among the 360 largest U.S. counties in the second quarter of 2023. Among the largest U.S. counties, 88 reported average weekly wages above the U.S. average in the second quarter of 2023. Santa Clara, CA, had the highest average weekly wage ($3,321). Average weekly wages were below the national average in the remaining 272 counties. Hidalgo, TX, had the lowest average weekly wage ($795).

Smaller county average weekly wages

Among the 65 smaller counties in South Dakota—those with employment below 75,000—Union ($1,256) reported the highest average weekly wage. Jones County ($626) reported the lowest average weekly wage in the state.

When all 66 counties in South Dakota were considered, 17 reported average weekly wages of less than $799, 22 registered wages from $800 to $899, 18 had wages from $900 to $999, and 9 had average weekly wages of $1,000 or higher. (See map 1.)

Map 1. Average weekly wages by county in South Dakota, second quarter 2023

U.S. average = $1,332

 
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 for the County Employment and Wages News Release or visit the Quarterly Census of Employment and Wages website.

Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. This publication is typically published in September of the following year of the reference period or shortly after the QCEW first quarter full data update.

Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

The County Employment and Wages release for the third quarter 2023 is scheduled to be released on Wednesday, February 21, 2024. The County Employment and Wages full data update for the third quarter 2023 is scheduled to be released on Wednesday, March 6, 2024.


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 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 individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

Table 1. Covered establishments, employment, and wages in the United States and the largest county in South Dakota, second quarter 2023
AreaEstablishments,
second quarter
(thousands)
EmploymentAverage weekly wage (1)
June 2023
(thousands)
Percent change,
June
2022–23 (2)
National ranking
by percent change (3)
Second quarter
2023
National ranking
by level (3)
Percent change,
second quarter
2022–23 (2)
National ranking
by percent change (3)

United States (4)

11,964.6154,308.52.4--$1,332--3.2--

South Dakota

39.6466.82.7--1,035493.819

Minnehaha

9.8138.54.0311,1342201.3292

Footnotes:
(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from 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 establishments, employment, and wages in the United States and all counties in South Dakota, second quarter 2023
AreaEstablishmentsEmployment June 2023Average weekly wage (1)

United States (2)

11,964,606154,308,523$1,332

South Dakota

39,570466,7891,035

Aurora

105863759

Beadle

6928,726924

Bennett

97822803

Bon Homme

2381,860794

Brookings

1,33319,4091,023

Brown

1,53420,525981

Brule

2542,141755

Buffalo

29523896

Butte

4633,028792

Campbell

70464787

Charles Mix

3833,833847

Clark

1841,238803

Clay

4546,027879

Codington

1,40617,451940

Corson

67725903

Custer

4193,243825

Davison

82012,558998

Day

2562,012819

Deuel

1911,592938

Dewey

1482,412909

Douglas

1281,070833

Edmunds

1831,213929

Fall River

3322,667886

Faulk

120705764

Grant

3754,046975

Gregory

2301,641717

Haakon

115825883

Hamlin

2692,643949

Hand

1721,470759

Hanson

106629880

Harding

72466816

Hughes

94211,2471,112

Hutchinson

2972,835865

Hyde

665451,006

Jackson

83790712

Jerauld

1041,701861

Jones

64465626

Kingsbury

2691,941848

Lake

4745,3781,035

Lawrence

1,56914,189919

Lincoln

2,45329,6111,219

Lyman

1391,519648

McCook

2381,408879

McPherson

93594775

Marshall

2061,927926

Meade

1,0258,540986

Mellette

44337687

Miner

108871773

Minnehaha

9,766138,5451,134

Moody

2132,584976

Oglala Lakota

1323,875971

Pennington

5,74163,8131,010

Perkins

1371,156783

Potter

143877834

Roberts

3133,657846

Sanborn

88684717

Spink

2752,344930

Stanley

1571,374831

Sully

94745918

Todd

1082,885905

Tripp

2622,337843

Turner

3272,464802

Union

86510,0951,256

Walworth

2532,205822

Yankton

85713,2831,020

Ziebach

28294797

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

Table 3. Covered establishments, employment, and wages by state, second quarter 2023
StateEstablishments,
second quarter
(thousands)
EmploymentAverage weekly wage (1)
June 2023
(thousands)
Percent change,
June
2022–23
Second quarter
2023
National ranking
by level
Percent change,
second quarter
2022–23
National ranking
by percent change

United States (2)

11,964.6154,308.52.4$1,332--3.2--

Alabama

156.72,079.22.71,107354.013

Alaska

25.3342.43.61,285153.917

Arizona

219.13,091.73.01,265183.917

Arkansas

103.21,284.82.61,033503.819

California

1,767.718,151.10.91,62443.426

Colorado

256.62,914.32.71,42684.85

Connecticut

148.01,692.01.81,51163.819

Delaware

41.6476.23.01,248192.344

District of Columbia

51.3762.62.22,19313.723

Florida

891.89,547.73.71,234214.38

Georgia

384.54,802.82.21,247202.639

Hawaii

56.5636.03.21,198244.013

Idaho

94.3855.83.11,038483.330

Illinois

410.86,101.21.91,357122.639

Indiana

191.13,164.71.51,102372.047

Iowa

110.51,581.81.11,082422.639

Kansas

98.71,428.63.21,081434.013

Kentucky

150.11,974.52.81,100383.035

Louisiana

153.81,887.31.71,093402.738

Maine

65.0654.12.11,123343.330

Maryland

187.12,716.42.11,40292.245

Massachusetts

296.43,703.41.21,67022.047

Michigan

318.44,463.02.51,220233.426

Minnesota

205.72,964.02.31,315142.245

Mississippi

87.71,158.01.4924514.38

Missouri

246.72,908.72.01,150324.013

Montana

65.5521.03.01,072464.47

Nebraska

76.81,022.13.01,092413.426

Nevada

106.71,522.83.21,189272.936

New Hampshire

65.3694.82.31,387103.232

New Jersey

330.24,341.42.81,46471.650

New Mexico

66.7859.13.81,107356.51

New York

699.69,623.82.41,62152.542

North Carolina

370.94,857.53.31,198243.426

North Dakota

35.4430.42.91,184284.93

Ohio

341.85,521.91.71,160313.134

Oklahoma

129.71,669.03.11,052473.625

Oregon

200.82,010.72.21,281162.443

Pennsylvania

393.06,014.81.91,277172.047

Rhode Island

48.0498.81.31,22122-0.351

South Carolina

175.92,248.62.81,079443.723

South Dakota

39.6466.82.71,035493.819

Tennessee

215.93,254.23.01,195263.819

Texas

824.913,716.33.91,322133.232

Utah

135.71,699.42.81,183294.211

Vermont

31.8310.32.31,175304.112

Virginia

357.14,082.32.81,371114.38

Washington

241.03,639.82.71,64934.93

West Virginia

58.8695.72.91,075456.12

Wisconsin

204.42,975.81.91,126332.936

Wyoming

30.5288.62.71,096394.66

Puerto Rico

52.6929.71.6622(3)4.2(3)

Virgin Islands

3.836.34.7992(3)1.1(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: Wednesday, December 27, 2023