News Release Information
13-765-CHI
Wednesday, May 1, 2013
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County Employment and Wages in Wisconsin – Third Quarter 2012
Four out of six large counties in Wisconsin recorded employment increases from September 2011 to September 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.) Brown County had the largest increase, up 1.7 percent, followed by Dane County, up 1.1 percent. Regional Commissioner Charlene Peiffer noted that Brown County was the only large county in Wisconsin to post an employment gain greater than the national increase of 1.6 percent.
Among the six large counties in Wisconsin, employment was highest in Milwaukee (473,700) in September 2012, followed by Dane (306,500), and Waukesha (227,900). The three other counties—Brown, Outagamie, and Winnebago—had employment levels of less than 150,000. Collectively, Wisconsin's six large counties accounted for 49.6 percent of total employment within the state. Nationwide, the 328 largest counties made up 71.0 percent of U.S. employment, which stood at 132.6 million in September 2012.
The average weekly wage in Brown County fell 5.1 percent from the third quarter of 2011 to the third quarter of 2012, the largest decrease among Wisconsin's large counties. Waukesha County had the highest average weekly wage in the state at $887, followed by Milwaukee at $879. (See table 1.) Nationally, the average weekly wage fell 1.1 percent over the year to $906 in the third quarter of 2012.
Employment and wage levels (but not over-the-year changes) are also available for the 66 counties in Wisconsin with employment below 75,000. All of these smaller counties had average weekly wages below the national average. (See table 2.)
Large county wage changes
Four of Wisconsin’s large counties recorded wage declines greater than the national decrease of 1.1 percent from the third quarter of 2011 to the third quarter of 2012. (See table 1.) As noted, Brown County experienced the state’s largest average weekly wage decline, down 5.1 percent. This was followed by Milwaukee (-4.2 percent), Dane (-3.9 percent), and Waukesha (-1.3 percent). In contrast, one large county in Wisconsin, Outagamie, recorded a 0.1-percent wage gain, ranking 45th among the 328 largest U.S. counties.
Nationwide, 274 large counties had over-the-year decreases in average weekly wages. Yolo, Calif., had the largest decline with a loss of 7.0 percent. Three counties tied for the second largest loss, as wages fell 6.9 percent in Rockingham, N.H.; Lake, Ohio; and Benton, Wash. Increases were recorded in 46 large counties nationwide; San Mateo, Calif., led this group with an over-the-year wage gain of 7.3 percent.
Large county average weekly wages
Average weekly wages in all of Wisconsin’s six large counties were below the national average of $906 in the third quarter of 2012. As noted, Waukesha County ($887) had the highest average weekly wage in the state, ranking 118th among the 328 largest counties across the nation, followed by Milwaukee ($879) and Dane ($842) which placed 127th and 168th, respectively. Brown ($779) and Outagamie ($771) reported the lowest average weekly wage among the state’s largest counties and ranked among the bottom-third nationwide.
Nationally, weekly wages were higher than the U.S. average in 102 of the largest counties in the country. Santa Clara, Calif., held the top position among the highest-paid large counties with an average weekly wage of $1,800. New York, N.Y., was second at $1,626, followed by San Mateo, Calif. ($1,537), Washington, D.C. ($1,514), and Arlington, Va. ($1,488).
Of the largest counties in the United States, 225, or more than two-thirds, reported average weekly wages below the national average in the third quarter of 2012. The lowest wage was reported in Horry, S.C., at $554 per week. Joining the Texas counties of Cameron ($580) and Hidalgo ($584) among the bottom five were Yakima, Wash. ($620) and Marion, Fla. ($621). Wages in these five lowest-ranked counties were about one-third or less of the average weekly wage in the highest-ranked county, Santa Clara, Calif.
Average weekly wages in Wisconsin's smaller counties
Of the 66 counties in Wisconsin with employment below 75,000, Wood County had the highest average weekly wage at $832. Florence County had the lowest weekly wage at $420. (See table 2.)
When all 72 counties in Wisconsin were considered, 2 reported average weekly wages less than $500, 24 had wages from $500 to $599, 28 reported wages from $600 to $699, 13 had wages from $700 to $799, and 5 had wages of $800 or more. (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 n ation and all states. The 2011 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 2012 version of the news release. Tables and additional content from Employment and Wages Annual Averages 2011 are now available online at www.bls.gov/cew/cewbultn11.htm. 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: 1-800-877-8339.
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 cover 132.6 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 (see Technical Note below) 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.
| Area | Employment | Average weekly wage (3) | |||||
|---|---|---|---|---|---|---|---|
| September 2012 (thousands) | Percent change, September 2011-12 (4) | National ranking by percent change (5) | Average weekly wage | National ranking by level (5) | Percent change, third quarter 2011-12 (4) | National ranking by percent change (5) | |
United States (6) |
132,624.7 | 1.6 | -- | $906 | -- | -1.1 | -- |
Wisconsin |
2,718.7 | 0.7 | -- | 770 | 36 | -2.7 | 48 |
Brown, Wis. |
148.6 | 1.7 | 123 | 779 | 238 | -5.1 | 321 |
Dane, Wis. |
306.5 | 1.1 | 177 | 842 | 168 | -3.9 | 309 |
Milwaukee, Wis. |
473.7 | 0.3 | 256 | 879 | 127 | -4.2 | 314 |
Outagamie, Wis. |
102.3 | 0.4 | 253 | 771 | 244 | 0.1 | 45 |
Waukesha, Wis. |
227.9 | 0.0 | 277 | 887 | 118 | -1.3 | 140 |
Winnebago, Wis. |
89.4 | -0.2 | 285 | 829 | 182 | -0.1 | 55 |
|
Footnotes: |
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| Area | Employment September 2012 | Average weekly wage (3) |
|---|---|---|
United States (4) |
132,624,657 | $906 |
Wisconsin |
2,718,654 | 770 |
Adams |
4,939 | 561 |
Ashland |
8,206 | 629 |
Barron |
20,814 | 581 |
Bayfield |
4,185 | 481 |
Brown |
148,586 | 779 |
Buffalo |
4,101 | 606 |
Burnett |
4,837 | 529 |
Calumet |
12,076 | 664 |
Chippewa |
23,105 | 613 |
Clark |
10,300 | 599 |
Columbia |
20,679 | 642 |
Crawford |
7,969 | 540 |
Dane |
306,504 | 842 |
Dodge |
34,074 | 716 |
Door |
14,550 | 544 |
Douglas |
15,811 | 659 |
Dunn |
16,081 | 678 |
Eau Claire |
55,796 | 683 |
Florence |
1,007 | 420 |
Fond du Lac |
44,595 | 714 |
Forest |
3,116 | 567 |
Grant |
17,372 | 585 |
Green |
14,624 | 653 |
Green Lake |
6,812 | 708 |
Iowa |
9,997 | 677 |
Iron |
1,721 | 512 |
Jackson |
8,540 | 683 |
Jefferson |
32,988 | 641 |
Juneau |
8,966 | 642 |
Kenosha |
52,221 | 721 |
Kewaunee |
7,300 | 689 |
La Crosse |
67,444 | 690 |
Lafayette |
3,787 | 533 |
Langlade |
7,558 | 594 |
Lincoln |
10,175 | 658 |
Manitowoc |
33,717 | 701 |
Marathon |
64,725 | 734 |
Marinette |
19,100 | 666 |
Marquette |
3,722 | 516 |
Menominee |
2,162 | 608 |
Milwaukee |
473,713 | 879 |
Monroe |
19,341 | 668 |
Oconto |
8,810 | 544 |
Oneida |
16,902 | 619 |
Outagamie |
102,296 | 771 |
Ozaukee |
38,749 | 747 |
Pepin |
2,261 | 592 |
Pierce |
9,918 | 589 |
Polk |
14,814 | 632 |
Portage |
32,043 | 698 |
Price |
5,652 | 611 |
Racine |
73,504 | 791 |
Richland |
6,192 | 592 |
Rock |
60,967 | 736 |
Rusk |
4,796 | 533 |
St. Croix |
30,637 | 647 |
Sauk |
36,617 | 623 |
Sawyer |
6,887 | 562 |
Shawano |
12,540 | 558 |
Sheboygan |
57,029 | 750 |
Taylor |
8,141 | 597 |
Trempealeau |
14,010 | 639 |
Vernon |
8,394 | 551 |
Vilas |
7,777 | 519 |
Walworth |
39,261 | 633 |
Washburn |
5,828 | 543 |
Washington |
51,351 | 736 |
Waukesha |
227,929 | 887 |
Waupaca |
20,015 | 618 |
Waushara |
6,599 | 537 |
Winnebago |
89,443 | 829 |
Wood |
42,716 | 832 |
|
Footnotes: |
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|
|
||
| State | Employment | Average weekly wage (3) | ||||
|---|---|---|---|---|---|---|
| September 2012 (thousands) |
Percent change, September 2011-12 |
Average weekly wage |
National ranking by level |
Percent change, third quarter 2011-12 |
National ranking by percent change |
|
United States (4) |
132,624.7 | 1.6 | $906 | -- | -1.1 | -- |
Alabama |
1,833.5 | 0.6 | 784 | 33 | -2.4 | 45 |
Alaska |
343.6 | 0.6 | 961 | 9 | -0.2 | 7 |
Arizona |
2,437.5 | 2.2 | 846 | 22 | -2.0 | 43 |
Arkansas |
1,156.7 | 0.3 | 708 | 47 | -1.0 | 17 |
California |
15,109.1 | 2.8 | 1,036 | 6 | -1.2 | 21 |
Colorado |
2,284.6 | 2.2 | 936 | 12 | -1.3 | 25 |
Connecticut |
1,638.9 | 0.8 | 1,087 | 4 | -2.8 | 49 |
Delaware |
407.3 | 0.1 | 925 | 14 | -2.5 | 47 |
District of Columbia |
714.9 | 0.6 | 1,514 | 1 | -0.7 | 15 |
Florida |
7,307.9 | 1.9 | 800 | 31 | -1.4 | 27 |
Georgia |
3,841.2 | 1.1 | 854 | 21 | -1.5 | 31 |
Hawaii |
605.5 | 1.7 | 827 | 26 | -1.0 | 17 |
Idaho |
630.4 | 1.1 | 687 | 49 | -1.4 | 27 |
Illinois |
5,688.6 | 1.1 | 945 | 11 | -1.4 | 27 |
Indiana |
2,849.9 | 1.8 | 772 | 35 | -1.7 | 36 |
Iowa |
1,486.7 | 1.1 | 756 | 41 | -0.5 | 10 |
Kansas |
1,325.5 | 1.0 | 761 | 39 | -1.4 | 27 |
Kentucky |
1,779.5 | 1.2 | 751 | 42 | -1.7 | 36 |
Louisiana |
1,864.3 | 0.3 | 805 | 30 | -1.8 | 38 |
Maine |
597.0 | 0.2 | 722 | 46 | -1.6 | 34 |
Maryland |
2,533.3 | 1.4 | 1,007 | 8 | -1.6 | 34 |
Massachusetts |
3,271.6 | 1.2 | 1,102 | 2 | -1.2 | 21 |
Michigan |
3,984.2 | 1.5 | 862 | 19 | -1.5 | 31 |
Minnesota |
2,675.4 | 1.1 | 915 | 15 | 0.0 | 4 |
Mississippi |
1,089.4 | 0.6 | 672 | 51 | -1.2 | 21 |
Missouri |
2,628.8 | 0.7 | 793 | 32 | -1.2 | 21 |
Montana |
441.6 | 1.8 | 689 | 48 | 0.3 | 3 |
Nebraska |
924.4 | 2.0 | 742 | 43 | -0.5 | 10 |
Nevada |
1,140.1 | 1.5 | 820 | 27 | -3.0 | 50 |
New Hampshire |
620.6 | 1.1 | 874 | 17 | -3.1 | 51 |
New Jersey |
3,811.2 | 1.1 | 1,053 | 5 | -1.8 | 38 |
New Mexico |
788.7 | 0.0 | 761 | 39 | -2.3 | 44 |
New York |
8,616.8 | 1.2 | 1,088 | 3 | -1.1 | 19 |
North Carolina |
3,934.1 | 1.6 | 806 | 29 | -0.2 | 7 |
North Dakota |
422.2 | 7.8 | 872 | 18 | 6.3 | 1 |
Ohio |
5,073.0 | 1.1 | 828 | 24 | -0.7 | 15 |
Oklahoma |
1,545.6 | 1.3 | 779 | 34 | -0.5 | 10 |
Oregon |
1,667.3 | 1.2 | 834 | 23 | 0.0 | 4 |
Pennsylvania |
5,598.4 | 0.6 | 899 | 16 | -1.3 | 25 |
Rhode Island |
460.5 | 0.8 | 855 | 20 | -1.9 | 42 |
South Carolina |
1,814.7 | 1.3 | 738 | 44 | -1.1 | 19 |
South Dakota |
405.3 | 1.6 | 683 | 50 | -0.1 | 6 |
Tennessee |
2,674.3 | 1.7 | 814 | 28 | -0.6 | 14 |
Texas |
10,773.4 | 2.7 | 930 | 13 | -0.2 | 7 |
Utah |
1,231.0 | 3.3 | 766 | 37 | -1.8 | 38 |
Vermont |
302.0 | 1.2 | 763 | 38 | -1.8 | 38 |
Virginia |
3,631.1 | 0.9 | 960 | 10 | -1.5 | 31 |
Washington |
2,944.6 | 1.5 | 1,024 | 7 | 1.3 | 2 |
West Virginia |
715.4 | 0.5 | 724 | 45 | -2.4 | 45 |
Wisconsin |
2,718.7 | 0.7 | 770 | 36 | -2.7 | 48 |
Wyoming |
284.7 | 0.0 | 828 | 24 | -0.5 | 10 |
Puerto Rico |
933.4 | 2.1 | 506 | (5) | 0.0 | (5) |
Virgin Islands |
38.6 | -9.8 | 711 | (5) | -1.1 | (5) |
|
Footnotes: |
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Last Modified Date: May 1, 2013