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Monday, October 24, 2016
All 13 large counties in Ohio reported employment gains from March 2015 to March 2016, 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 2015 annual average employment.) Assistant Commissioner for Regional Operations Charlene Peiffer noted that Warren County had the largest increase, up 3.9 percent, followed by Butler County, up 3.6 percent. (See table 1.)
Nationally, employment advanced 2.0 percent from March 2015 to March 2016 as 318 of the 344 largest U.S. counties registered increases. Williamson, Tenn., had the largest percentage increase with a gain of 7.9 percent over the year. Midland, Texas, had the largest over-the-year percentage decrease in employment among the largest U.S. counties, with a loss of 9.0 percent.
Among the 13 largest counties in Ohio, employment was highest in Franklin County (724,200) and Cuyahoga County (707,500) in March 2016. Four other counties—Hamilton (501,200), Summit (261,100), Montgomery (251,500), and Lucas (207,500)—had employment levels of more than 200,000. Collectively, Ohio's 13 large counties accounted for 65.2 percent of total employment within the state. Nationwide, the 344 largest counties made up 72.6 percent of total U.S. employment in March 2016.
Average weekly wages declined in 7 of the 13 largest counties in Ohio from the first quarter of 2015 to the first quarter of 2016. Stark County had the largest percentage decrease in average weekly wages, down 4.5 percent (See table 1.) Hamilton County recorded the highest average weekly wage among the state’s large counties at $1,106, followed by Delaware County at $1,096. Nationally, the average weekly wage decreased 0.5 percent over the year to $1,043 in the first quarter of 2016.
Employment and wage levels (but not over-the-year changes) are also available for the 75 counties in Ohio with employment levels below 75,000. Wage levels in all of these smaller counties were below the national average in the first quarter of 2016. (See table 2.)
Large county wage changesIn addition to Stark County’s 4.5-percent decline in average weekly wages from the first quarter of 2015 to the first quarter of 2016, five other large counties in the state had wage declines greater than the national decrease of 0.5 percent. Four of Ohio’s large counties registered wage increases over the year. Wages in Summit County increased 1.0 percent, the highest of the four and ranked 98th among the nation’s 344 large counties. (See table 1.)
Among the 344 largest U.S. counties, 167 had over-the-year decreases in average weekly wages in the first quarter of 2016. McLean, Ill., had the largest percentage decline in average weekly wages with a loss of 13.3 percent. Nationally, 164 large counties experienced over-the-year increases in average weekly wages. Clayton, Ga., had the largest percentage increase in average weekly wages with a gain of 15.5 percent.
Large county average weekly wagesAs noted, Hamilton County ($1,106) had the highest average weekly wage in the state and ranked 69th among the 344 largest U.S. counties. Delaware County ($1,096, 72nd) and Cuyahoga County ($1,048, 90th) also had average weekly wages above the national average of $1,043. Mahoning ($683, 335th) had the lowest average weekly wage among the state’s large counties.
Nationally, weekly wages were higher than the U.S. average of $1,043 in 91 of the 344 largest counties. New York, N.Y., held the top position with an average weekly wage of $2,783. Santa Clara, Calif., was second at $2,210, followed by San Mateo, Calif. ($2,195); San Francisco, Calif. ($2,054); and Somerset, N.J. ($2,022). Among the 253 large counties with an average weekly wage below the U.S. average in the first quarter of 2016, Horry, S.C. ($587) reported the lowest wage.
Average weekly wages in Ohio’s smaller countiesAll 75 counties in Ohio with employment below 75,000 had average weekly wages below the national average of $1,043. Among these smaller counties, Union had the highest average weekly wage at $1,021, while Meigs had the lowest at $541. (See table 2.)
When all 88 counties in Ohio were considered, all but 3 had wages below the national average. Four reported average weekly wages less than $600, 33 had wages from $600 to $699, 32 reported wages from $700 to $799, 9 had wages from $800 to $899, and 10 had wages of $900 or more. (See chart 1.)
Additional statistics and other informationQuarterly 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 2015 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 fourth quarter 2015 version of the national news release. Tables and additional content from Employment and Wages Annual Averages 2015 are available online at www.bls.gov/cew/publications/employment-and-wages-annual-averages/2015/home.htm.
The County Employment and Wages release for second quarter 2016 is scheduled to be released on Wednesday, December 7, 2016.
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 9.7 million employer reports cover 140.1 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.
Area | Employment | Average weekly wage (1) | |||||
---|---|---|---|---|---|---|---|
March 2016 (thousands) | Percent change, March 2015-16 (2) | National ranking by percent change (3) | Average weekly wage | National ranking by level (3) | Percent change, first quarter 2015-16 (2) | National ranking by percent change (3) | |
United States (4) |
140,070.8 | 2.0 | -- | $1,043 | -- | -0.5 | -- |
Ohio |
5,236.2 | 1.8 | -- | 913 | 24 | -0.8 | 30 |
Butler, Ohio |
147.9 | 3.6 | 44 | 900 | 182 | -0.1 | 177 |
Cuyahoga, Ohio |
707.5 | 0.9 | 273 | 1,048 | 90 | -2.0 | 270 |
Delaware, Ohio |
82.7 | 3.3 | 63 | 1,096 | 72 | 0.0 | 165 |
Franklin, Ohio |
724.2 | 3.1 | 78 | 1,041 | 93 | 0.1 | 155 |
Hamilton, Ohio |
501.2 | 1.6 | 211 | 1,106 | 69 | -1.1 | 224 |
Lake, Ohio |
93.3 | 0.8 | 283 | 833 | 253 | 0.0 | 165 |
Lorain, Ohio |
95.3 | 1.0 | 263 | 782 | 297 | -2.7 | 297 |
Lucas, Ohio |
207.5 | 2.4 | 130 | 886 | 197 | 0.5 | 129 |
Mahoning, Ohio |
96.6 | 0.2 | 314 | 683 | 335 | -2.6 | 295 |
Montgomery, Ohio |
251.5 | 2.4 | 130 | 843 | 243 | -1.3 | 239 |
Stark, Ohio |
155.9 | 0.6 | 295 | 726 | 325 | -4.5 | 325 |
Summit, Ohio |
261.1 | 0.6 | 295 | 946 | 154 | 1.0 | 98 |
Warren, Ohio |
88.8 | 3.9 | 31 | 912 | 174 | 0.2 | 147 |
Footnotes: |
|||||||
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 March 2016 | Average weekly wage (1) |
---|---|---|
United States (2) |
140,070,814 | $1,043 |
Ohio |
5,236,188 | 913 |
Adams |
6,007 | 648 |
Allen |
49,030 | 783 |
Ashland |
18,397 | 685 |
Ashtabula |
29,681 | 648 |
Athens |
20,998 | 730 |
Auglaize |
20,925 | 750 |
Belmont |
22,674 | 698 |
Brown |
8,020 | 630 |
Butler |
147,916 | 900 |
Carroll |
6,442 | 651 |
Champaign |
10,618 | 720 |
Clark |
47,422 | 709 |
Clermont |
57,654 | 795 |
Clinton |
16,614 | 797 |
Columbiana |
29,353 | 649 |
Coshocton |
10,329 | 711 |
Crawford |
13,317 | 668 |
Cuyahoga |
707,467 | 1,048 |
Darke |
18,084 | 698 |
Defiance |
15,581 | 832 |
Delaware |
82,726 | 1,096 |
Erie |
34,296 | 709 |
Fairfield |
42,113 | 652 |
Fayette |
11,664 | 623 |
Franklin |
724,186 | 1,041 |
Fulton |
18,263 | 718 |
Gallia |
10,765 | 666 |
Geauga |
33,036 | 743 |
Greene |
71,204 | 944 |
Guernsey |
14,979 | 706 |
Hamilton |
501,201 | 1,106 |
Hancock |
44,644 | 1,011 |
Hardin |
8,519 | 647 |
Harrison |
3,660 | 700 |
Henry |
10,672 | 719 |
Highland |
10,394 | 589 |
Hocking |
6,760 | 592 |
Holmes |
19,225 | 629 |
Huron |
20,217 | 692 |
Jackson |
9,932 | 640 |
Jefferson |
20,491 | 735 |
Knox |
20,165 | 705 |
Lake |
93,304 | 833 |
Lawrence |
12,601 | 636 |
Licking |
52,856 | 757 |
Logan |
19,290 | 787 |
Lorain |
95,348 | 782 |
Lucas |
207,540 | 886 |
Madison |
16,688 | 765 |
Mahoning |
96,581 | 683 |
Marion |
23,959 | 711 |
Medina |
58,894 | 773 |
Meigs |
3,435 | 541 |
Mercer |
19,510 | 664 |
Miami |
39,868 | 730 |
Monroe |
2,698 | 572 |
Montgomery |
251,545 | 843 |
Morgan |
2,623 | 638 |
Morrow |
5,523 | 685 |
Muskingum |
32,209 | 696 |
Noble |
3,100 | 689 |
Ottawa |
12,220 | 842 |
Paulding |
4,845 | 676 |
Perry |
5,652 | 616 |
Pickaway |
13,326 | 759 |
Pike |
9,441 | 889 |
Portage |
54,263 | 776 |
Preble |
10,360 | 666 |
Putnam |
11,487 | 650 |
Richland |
50,169 | 667 |
Ross |
27,407 | 789 |
Sandusky |
25,286 | 715 |
Scioto |
23,648 | 640 |
Seneca |
19,235 | 647 |
Shelby |
27,069 | 856 |
Stark |
155,854 | 726 |
Summit |
261,126 | 946 |
Trumbull |
68,705 | 780 |
Tuscarawas |
35,490 | 670 |
Union |
31,027 | 1,021 |
Van Wert |
10,738 | 667 |
Vinton |
2,223 | 653 |
Warren |
88,755 | 912 |
Washington |
24,721 | 806 |
Wayne |
45,796 | 731 |
Williams |
17,250 | 721 |
Wood |
64,249 | 842 |
Wyandot |
9,055 | 718 |
Footnotes |
||
NOTE: Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. Data are preliminary. |
State | Employment | Average weekly wage (1) | ||||
---|---|---|---|---|---|---|
March 2016 (thousands) | Percent change, March 2015-16 | Average weekly wage | National ranking by level | Percent change, first quarter 2015-16 | National ranking by percent change | |
United States (2) |
140,070.8 | 2.0 | 1043 | -- | -0.5 | -- |
Alabama |
1,902.6 | 1.6 | 842 | 37 | -0.2 | 22 |
Alaska |
317.6 | -1.4 | 1028 | 15 | -2 | 43 |
Arizona |
2,679.8 | 2.8 | 918 | 23 | -0.8 | 30 |
Arkansas |
1,191.1 | 2.1 | 793 | 45 | 0.5 | 13 |
California |
16,455.5 | 2.6 | 1206 | 6 | 0 | 20 |
Colorado |
2,514.6 | 2.4 | 1057 | 13 | -1.3 | 36 |
Connecticut |
1,650.6 | 0.6 | 1362 | 3 | -1.4 | 38 |
Delaware |
429.7 | 1.5 | 1072 | 10 | -3 | 48 |
District of Columbia |
749.6 | 2.0 | 1766 | 1 | 0.4 | 14 |
Florida |
8,301.8 | 3.5 | 887 | 27 | 0.2 | 18 |
Georgia |
4,215.1 | 3.0 | 1008 | 17 | 1.9 | 2 |
Hawaii |
645.1 | 1.4 | 896 | 26 | 1.7 | 3 |
Idaho |
670.4 | 3.5 | 725 | 50 | -1.5 | 39 |
Illinois |
5,800.6 | 1.2 | 1126 | 7 | -0.5 | 28 |
Indiana |
2,949.5 | 1.9 | 853 | 33 | -0.5 | 28 |
Iowa |
1,518.2 | 0.9 | 844 | 36 | -0.4 | 27 |
Kansas |
1,362.3 | 0.4 | 833 | 38 | -2 | 43 |
Kentucky |
1,843.9 | 1.9 | 823 | 41 | 0.1 | 19 |
Louisiana |
1,910.5 | -0.8 | 860 | 32 | -2.6 | 47 |
Maine |
580.5 | 1.8 | 804 | 44 | 1.1 | 8 |
Maryland |
2,591.7 | 1.9 | 1103 | 9 | -0.8 | 30 |
Massachusetts |
3,414.8 | 2.1 | 1327 | 4 | -1 | 33 |
Michigan |
4,163.7 | 2.1 | 976 | 20 | 0.7 | 11 |
Minnesota |
2,750.1 | 1.5 | 1065 | 12 | -1.2 | 34 |
Mississippi |
1,121.0 | 1.7 | 713 | 51 | 0.4 | 14 |
Missouri |
2,729.5 | 1.9 | 879 | 29 | -0.3 | 25 |
Montana |
447.8 | 1.8 | 751 | 49 | 0.3 | 16 |
Nebraska |
956.6 | 1.4 | 817 | 42 | 0 | 20 |
Nevada |
1,264.1 | 3.0 | 875 | 30 | 1.2 | 5 |
New Hampshire |
635.1 | 1.9 | 998 | 18 | 1.6 | 4 |
New Jersey |
3,909.7 | 2.4 | 1268 | 5 | -1.7 | 41 |
New Mexico |
800.4 | 0.0 | 792 | 46 | -1.6 | 40 |
New York |
9,042.2 | 2.0 | 1456 | 2 | -0.3 | 25 |
North Carolina |
4,220.3 | 3.0 | 928 | 22 | -0.2 | 22 |
North Dakota |
409.4 | -6.2 | 908 | 25 | -7.6 | 51 |
Ohio |
5,236.2 | 1.8 | 913 | 24 | -0.8 | 30 |
Oklahoma |
1,578.6 | -0.9 | 833 | 38 | -4.1 | 49 |
Oregon |
1,808.2 | 3.2 | 929 | 21 | 1.2 | 5 |
Pennsylvania |
5,662.2 | 1.1 | 1012 | 16 | -1.9 | 42 |
Rhode Island |
464.6 | 1.9 | 985 | 19 | -2.2 | 46 |
South Carolina |
1,974.6 | 2.7 | 806 | 43 | 0.8 | 10 |
South Dakota |
410.5 | 0.9 | 771 | 48 | 1.2 | 5 |
Tennessee |
2,859.2 | 3.3 | 887 | 27 | 0.3 | 16 |
Texas |
11,638.7 | 0.7 | 1066 | 11 | -2.1 | 45 |
Utah |
1,369.2 | 3.8 | 849 | 35 | 0.6 | 12 |
Vermont |
304.6 | 0.1 | 832 | 40 | 1 | 9 |
Virginia |
3,748.1 | 2.6 | 1057 | 13 | -1.2 | 34 |
Washington |
3,147.7 | 3.1 | 1121 | 8 | 3 | 1 |
West Virginia |
683.9 | -1.2 | 782 | 47 | -1.3 | 36 |
Wisconsin |
2,771.4 | 1.3 | 875 | 30 | -0.2 | 22 |
Wyoming |
267.9 | -3.7 | 850 | 34 | -4.7 | 50 |
Puerto Rico |
895.2 | -1.2 | 520 | (3) | -0.4 | (3) |
Virgin Islands |
38.6 | 0.4 | 769 | (3) | 2.9 | (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: Monday, October 24, 2016