An official website of the United States government
14-1484-CHI
Thursday, August 14, 2014
The two largest counties in Nebraska reported employment gains from December 2012 to December 2013, 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 2012 annual average employment.) Regional Commissioner Charlene Peiffer noted that employment rose 2.1 percent in Lancaster County and 1.9 percent in Douglas County, both above the national increase of 1.8 percent.
Nationally, 292 of the 334 largest U.S. counties registered employment increases from December 2012 to December 2013. Weld, Colo., recorded the largest percentage increase in the country, up 6.0 percent over the year. St. Clair, Ill., registered the largest percentage employment decline, down 3.1 percent.
Among the two largest counties in Nebraska, employment was higher in Douglas (326,700) in December 2013. Lancaster County recorded an employment level of 163,600. Collectively, Nebraska’s two large counties accounted for 51.9 percent of the state's employment. Nationwide, the 334 largest counties made up 71.7 percent of total U.S. employment.
The average weekly wage in Douglas was $890 in the fourth quarter of 2013, a decrease of 1.5 percent from the fourth quarter of 2012. Average weekly wages in Lancaster were $790, down 0.3 percent over the year. (See table 1.) Nationally, the average weekly wage was unchanged, remaining at $1,000 in the fourth quarter of 2013.
Employment and wage levels (but not over-the-year changes) are also available for the 91 counties in Nebraska with employment below 75,000. All 91 of the smaller counties had average weekly wages below the national average of $1,000. (See table 2.)
Large county wage changesAs noted, average weekly wages in Lancaster County declined 0.3 percent, ranking it 214th among the nation's 334 largest counties. Douglas ranked 280th nationwide with a 1.5-percent decrease in average weekly wages. (See table 1.)
Nationally, 185 of the 334 largest counties registered over-the-year wage increases. Santa Cruz, Calif., had the largest wage gain, up 6.5 percent from the fourth quarter of 2012. Ada, Idaho, was second with a wage increase of 6.4 percent, followed by the counties of Washington, Ore. (5.9 percent), and Union, N.J. (5.2 percent).
Among the large U.S. counties, 140 experienced over-the-year wage decreases. Douglas, Colo., had the largest wage decrease with a loss of 29.7 percent. San Mateo, Calif., had the second largest decrease in average weekly wages, down 15.8 percent from the fourth quarter 2012, followed by Virginia Beach City, Va. (-10.0 percent), McHenry, Ill. (-8.8 percent), and Shawnee, Kan. (-5.1 percent).
Large county average weekly wagesDouglas County’s $890 average weekly wage placed near the middle of the national ranking at 186th in the fourth quarter of 2013. Lancaster County’s average weekly wage of $790 ranked 285th among the nation’s largest counties.
Nationally, 98 large counties registered average weekly wages above the U.S. average of $1,000 in the fourth quarter of 2013. San Mateo, Calif., held the top position among the highest-paid large counties with an average weekly wage of $2,724. New York, N.Y., was second at $2,041, followed by Santa Clara, Calif. ($1,972).
Seventy percent of the largest U.S. counties (235) reported weekly wages below the national average. Horry, S.C., reported the lowest wage ($587), followed by the Texas counties of Cameron ($598) and Hidalgo ($620). Wages in these lowest-ranked counties were less than twenty-five percent of the average weekly wage reported for the highest-ranked county, San Mateo, Calif.
Average weekly wages in Nebraska's smaller countiesAmong the counties with employment below 75,000, Washington ($989), Stanton ($988), Dundy ($910), and Nemaha ($910) had average weekly wages above those of the state’s two largest counties. Loup County reported the lowest weekly wage in the state, averaging $402 in the fourth quarter of 2013. (See table 2.)
When all 93 counties in the state were considered, 23 reported average weekly wages under $600, 28 reported wages from $600 to $674, 25 reported wages from $675 to $749, and 17 had wages of $750 or more. (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 2012 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 2013 version of the national news release. Tables and additional content from Employment and Wages Annual Averages 2012 are now available online at www.bls.gov/cew/publications/employment-and-wages-annual-averages/2012/home.htm. The 2013 edition of Employment and Wages Annual Averages Online will be available later in September 2014.
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.
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 9.3 million employer reports cover 136.1 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 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 (1) | |||||
---|---|---|---|---|---|---|---|
December 2013 (thousands) | Percent change, December 2012-13 (2) | National ranking by percent change (3) | Average weekly wage | National ranking by level (3) | Percent change, fourth quarter 2012-13 (2) | National ranking by percent change (3) | |
United States (4) |
136,129.4 | 1.8 | -- | $1,000 | -- | 0.0 | -- |
Nebraska |
944.3 | 1.4 | -- | 796 | 43 | -0.1 | 32 |
Douglas, Neb. |
326.7 | 1.9 | 130 | 890 | 186 | -1.5 | 280 |
Lancaster, Neb. |
163.6 | 2.1 | 118 | 790 | 285 | -0.3 | 214 |
Footnotes: |
|||||||
NOTE: Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. Data are preliminary. |
Area | Employment December 2013 | Average weekly wage (1) |
---|---|---|
United States (2) |
136,129,407 | $1,000 |
Nebraska |
944,268 | 796 |
Adams |
15,090 | 708 |
Antelope |
2,055 | 660 |
Arthur |
78 | 475 |
Banner |
159 | 675 |
Blaine |
137 | 494 |
Boone |
2,352 | 675 |
Box Butte |
3,979 | 673 |
Boyd |
588 | 493 |
Brown |
1,234 | 599 |
Buffalo |
26,506 | 690 |
Burt |
1,827 | 675 |
Butler |
2,642 | 712 |
Cass |
5,448 | 692 |
Cedar |
2,742 | 657 |
Chase |
1,875 | 697 |
Cherry |
2,206 | 524 |
Cheyenne |
5,859 | 868 |
Clay |
2,508 | 816 |
Colfax |
4,834 | 722 |
Cuming |
3,897 | 707 |
Custer |
4,203 | 753 |
Dakota |
11,947 | 746 |
Dawes |
3,326 | 565 |
Dawson |
11,602 | 656 |
Deuel |
628 | 613 |
Dixon |
1,783 | 629 |
Dodge |
16,742 | 678 |
Douglas |
326,676 | 890 |
Dundy |
682 | 910 |
Fillmore |
2,257 | 728 |
Franklin |
786 | 639 |
Frontier |
772 | 604 |
Furnas |
1,978 | 613 |
Gage |
8,749 | 661 |
Garden |
553 | 549 |
Garfield |
838 | 579 |
Gosper |
467 | 667 |
Grant |
278 | 562 |
Greeley |
640 | 546 |
Hall |
35,461 | 693 |
Hamilton |
3,248 | 850 |
Harlan |
845 | 554 |
Hayes |
204 | 614 |
Hitchcock |
705 | 661 |
Holt |
4,521 | 647 |
Hooker |
277 | 427 |
Howard |
1,516 | 605 |
Jefferson |
3,304 | 613 |
Johnson |
1,673 | 645 |
Kearney |
2,272 | 696 |
Keith |
3,246 | 606 |
Keya Paha |
155 | 530 |
Kimball |
1,508 | 788 |
Knox |
2,873 | 565 |
Lancaster |
163,566 | 790 |
Lincoln |
14,893 | 682 |
Logan |
195 | 564 |
Loup |
110 | 402 |
Madison |
21,591 | 704 |
McPherson |
65 | 515 |
Merrick |
2,322 | 741 |
Morrill |
1,573 | 725 |
Nance |
1,089 | 635 |
Nemaha |
3,095 | 910 |
Nuckolls |
1,430 | 565 |
Otoe |
6,200 | 643 |
Pawnee |
1,061 | 605 |
Perkins |
1,135 | 774 |
Phelps |
4,725 | 768 |
Pierce |
1,987 | 667 |
Platte |
18,894 | 744 |
Polk |
1,485 | 696 |
Red Willow |
5,497 | 632 |
Richardson |
2,416 | 577 |
Rock |
450 | 622 |
Saline |
6,980 | 728 |
Sarpy |
65,436 | 795 |
Saunders |
4,919 | 644 |
Scotts Bluff |
17,056 | 690 |
Seward |
6,153 | 774 |
Sheridan |
1,789 | 513 |
Sherman |
813 | 515 |
Sioux |
166 | 583 |
Stanton |
1,500 | 988 |
Thayer |
2,528 | 837 |
Thomas |
258 | 687 |
Thurston |
2,867 | 779 |
Valley |
1,754 | 618 |
Washington |
8,179 | 989 |
Wayne |
4,045 | 643 |
Webster |
1,032 | 584 |
Wheeler |
315 | 628 |
York |
7,530 | 741 |
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) | ||||
---|---|---|---|---|---|---|
December 2013 (thousands) |
Percent change, December 2012-13 |
Average weekly wage |
National ranking by level |
Percent change, fourth quarter 2012-13 |
National ranking by percent change |
|
United States (2) |
136,129.4 | 1.8 | $1,000 | -- | 0.0 | -- |
Alabama |
1,866.5 | 1.0 | 851 | 34 | -0.5 | 39 |
Alaska |
315.1 | 0.0 | 1,022 | 14 | 1.6 | 7 |
Arizona |
2,571.0 | 2.4 | 906 | 23 | -0.5 | 39 |
Arkansas |
1,154.3 | -0.5 | 771 | 47 | 0.4 | 22 |
California |
15,650.3 | 2.8 | 1,175 | 6 | -0.9 | 43 |
Colorado |
2,383.9 | 3.1 | 1,023 | 13 | -0.9 | 43 |
Connecticut |
1,661.2 | 0.3 | 1,238 | 4 | -1.3 | 49 |
Delaware |
419.6 | 1.8 | 1,035 | 9 | -0.6 | 41 |
District of Columbia |
727.3 | 0.6 | 1,638 | 1 | -3.9 | 51 |
Florida |
7,739.5 | 2.7 | 883 | 29 | 0.2 | 27 |
Georgia |
3,986.9 | 2.5 | 924 | 21 | -0.1 | 32 |
Hawaii |
632.9 | 1.7 | 871 | 30 | 0.3 | 25 |
Idaho |
634.5 | 2.6 | 754 | 50 | 3.0 | 2 |
Illinois |
5,758.9 | 1.0 | 1,060 | 8 | 0.2 | 27 |
Indiana |
2,896.9 | 1.6 | 814 | 40 | -0.2 | 35 |
Iowa |
1,510.9 | 1.4 | 834 | 38 | 1.6 | 7 |
Kansas |
1,359.5 | 1.6 | 832 | 39 | -0.4 | 38 |
Kentucky |
1,818.0 | 1.2 | 804 | 42 | 0.2 | 27 |
Louisiana |
1,911.6 | 0.9 | 889 | 26 | 0.5 | 20 |
Maine |
586.8 | 0.8 | 786 | 46 | 1.7 | 5 |
Maryland |
2,555.1 | 0.4 | 1,076 | 7 | -0.9 | 43 |
Massachusetts |
3,332.9 | 1.5 | 1,258 | 3 | 0.8 | 17 |
Michigan |
4,072.4 | 2.0 | 952 | 20 | -0.2 | 35 |
Minnesota |
2,720.6 | 1.7 | 988 | 16 | 0.3 | 25 |
Mississippi |
1,108.1 | 1.1 | 729 | 51 | 1.3 | 11 |
Missouri |
2,670.4 | 1.1 | 861 | 32 | -0.2 | 35 |
Montana |
440.0 | 1.3 | 760 | 48 | 0.4 | 22 |
Nebraska |
944.3 | 1.4 | 796 | 43 | -0.1 | 32 |
Nevada |
1,180.5 | 3.0 | 884 | 28 | 0.7 | 18 |
New Hampshire |
629.3 | 1.4 | 1,017 | 15 | -0.8 | 42 |
New Jersey |
3,887.5 | 1.2 | 1,186 | 5 | 1.1 | 14 |
New Mexico |
796.2 | -0.1 | 814 | 40 | 1.4 | 10 |
New York |
8,888.6 | 1.7 | 1,266 | 2 | -1.1 | 48 |
North Carolina |
4,045.5 | 1.9 | 860 | 33 | 0.7 | 18 |
North Dakota |
435.0 | 3.3 | 980 | 17 | 3.8 | 1 |
Ohio |
5,175.4 | 1.4 | 887 | 27 | 0.0 | 30 |
Oklahoma |
1,581.3 | 0.6 | 851 | 34 | -0.1 | 32 |
Oregon |
1,699.6 | 2.5 | 894 | 25 | 2.6 | 3 |
Pennsylvania |
5,650.3 | 0.4 | 976 | 18 | 0.4 | 22 |
Rhode Island |
462.7 | 1.4 | 960 | 19 | 1.5 | 9 |
South Carolina |
1,875.8 | 2.3 | 793 | 44 | 1.0 | 15 |
South Dakota |
407.1 | 1.3 | 759 | 49 | 1.3 | 11 |
Tennessee |
2,758.3 | 1.8 | 895 | 24 | -0.9 | 43 |
Texas |
11,246.3 | 2.6 | 1,027 | 12 | 0.0 | 30 |
Utah |
1,284.7 | 3.1 | 836 | 37 | -0.9 | 43 |
Vermont |
308.5 | 0.6 | 848 | 36 | 2.3 | 4 |
Virginia |
3,670.0 | 0.1 | 1,028 | 11 | -1.3 | 49 |
Washington |
2,976.0 | 2.5 | 1,034 | 10 | 1.7 | 5 |
West Virginia |
710.1 | -0.6 | 792 | 45 | 0.5 | 20 |
Wisconsin |
2,751.8 | 1.0 | 865 | 31 | 1.2 | 13 |
Wyoming |
279.2 | 0.6 | 917 | 22 | 1.0 | 15 |
Puerto Rico |
958.3 | -2.3 | 551 | (3) | 0.2 | (3) |
Virgin Islands |
38.5 | -3.6 | 754 | (3) | 2.4 | (3) |
(1) Average weekly wages were calculated using unrounded data. |
||||||
NOTE: Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. Data are preliminary. |
Last Modified Date: Thursday, August 14, 2014