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Friday, January 19, 2018
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 changesMinnehaha 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 wagesMinnehaha 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 countiesAll 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 informationQCEW 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/publications/employment-and-wages-annual-averages/2016/home.htm.
The County Employment and Wages release for third quarter 2017 is scheduled to be released on Thursday, March 8, 2018.
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.
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: |
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Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. |
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 |
||
Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. |
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: |
||||||
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