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Monday, July 08, 2019
The two largest counties in Nebraska had employment gains from December 2017 to December 2018, the U.S. Bureau of Labor Statistics (BLS) reported today. (Large counties are defined as those with 2017 annual average employment levels of 75,000 or more.) Assistant Commissioner for Regional Operations Charlene Peiffer noted that employment rose 0.5 percent in Lancaster County and 0.3 percent in Douglas County. (See table 1.)
Nationally, employment advanced 1.5 percent from December 2017 to December 2018 with 296 of the 349 largest U.S. counties registering increases. Midland, TX, had the largest percentage increase in the country, up 10.0 percent over the year. Bay, FL, experienced the largest over-the-year percentage decrease in employment, with a loss of 5.6 percent.
Among the two largest counties in Nebraska, employment was higher in Douglas (342,800) in December 2018. Lancaster County had an employment level of 172,400. Collectively, Nebraska’s two large counties accounted for 52.4 percent of the state's employment. Nationwide, the 349 largest counties made up 73.2 percent of total U.S. employment.
The average weekly wage in Douglas County was $1,039 in the fourth quarter of 2018, an increase of 3.0 percent from the fourth quarter of 2017. (See table 1.) Average weekly wages in Lancaster were $904, up 2.6 percent over the year. Nationally, the average weekly wage rose 3.2 percent over the year, increasing to $1,144 in the fourth quarter of 2018.
Employment and wage levels (but not over-the-year changes) are also available for the 91 counties in Nebraska with employment levels below 75,000. Two of these smaller counties had average weekly wages above the national average. (See table 2.)
Large county wage changesAs noted, average weekly wages in Douglas County increased 3.0 percent, ranking it 176th among the nation's 349 largest counties. Lancaster County’s average wages rose 2.6 percent over the year and ranked 210th nationwide. (See table 1.)
Nationally, 332 of the 349 largest counties had over-the-year wage growth. Tippecanoe, IN, had the largest fourth-quarter over-the-year wage gain at 15.1 percent. Williamson, TN, was second with a wage increase of 13.1 percent, followed by Olmsted, MN, at 13.0 percent.
Among the largest U.S. counties, 15 experienced over-the-year decreases in average weekly wages. Washington, PA, had the largest percentage decrease in average weekly wages (-6.6 percent), followed by Elkhart, IN (-5.0 percent); Muscogee, GA, (-3.7 percent); and Douglas, CO (-3.6 percent).
Large county average weekly wagesDouglas County’s $1,039 average weekly wage placed near the middle of the national ranking at 167th in the fourth quarter of 2018. Lancaster County’s average weekly wage of $904 ranked 291st among the nation’s largest counties.
Nationally, weekly wages were higher than the U.S. average of $1,144 in 94 of the 349 largest counties. Santa Clara, CA, held the top position among the highest-paid large counties in the nation with an average weekly wage of $2,670. San Francisco, CA, was second at $2,452, followed by San Mateo, CA, ($2,410); New York, NY, ($2,400); and Suffolk, MA ($2,055).
Among the largest U.S. counties, 255 had weekly wages below the national average in the fourth quarter of 2018. Hidalgo, TX, had the lowest wage at $680, followed by Horry, SC, and Cameron, TX, each at $685.
Average weekly wages in Nebraska’s smaller countiesAmong the counties with employment below 75,000, Stanton ($1,330) and Washington ($1,168) had average weekly wages above the national average of $1,144. Loup County had the lowest weekly wage in the state, averaging $479 in the fourth quarter of 2018. (See table 2.)
When all 93 counties in Nebraska were considered, 5 had average weekly wages less than $600, 22 had wages from $600 to $699, 40 had wages from $700 to $799, and 26 had wages of $800 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 2017 edition of this publication, which was published in September 2018, contains selected data produced by Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2018 version of the national news release. Tables and additional content from Employment and Wages Annual Averages 2017 are now available online at www.bls.gov/cew/publications/employment-and-wages-annual-averages/2017/home.htm. The 2018 edition of Employment and Wages Annual Averages Online will be available in September 2019.
The County Employment and Wages release for first quarter 2019 is scheduled to be released on Wednesday, August 21, 2019. The County Employment and Wages full data update for first quarter 2019 is scheduled to be released on Wednesday, September 4, 2019.
The BLS Local Data app, first released for iPhones last fall, is now available for Android devices. Search using your current location, a zip code, or a location name to find employment and wage data for detailed industries and occupations. BLS continues to partner with the U.S. Department of Labor’s Office of the Chief Information Officer to expand the features and data in the app. For more information please visit: https://www.bls.gov/blog/2019/bls-local-data-app-now-available-for-android-devices.htm.
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. 13, the number of weeks in a quarter, then divide the result. 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) | |||||
---|---|---|---|---|---|---|---|
December 2018 (thousands) | Percent change, December 2017-18 (2) | National ranking by percent change (3) | Average weekly wage | National ranking by level (3) | Percent change, fourth quarter 2017-18 (2) | National ranking by percent change (3) | |
United States (4) |
148,061.8 | 1.5 | -- | $1,144 | -- | 3.2 | -- |
Nebraska |
983.0 | 0.2 | -- | 930 | 40 | 3.2 | 30 |
Douglas, Neb. |
342.8 | 0.3 | 258 | 1,039 | 167 | 3.0 | 176 |
Lancaster, Neb. |
172.4 | 0.5 | 242 | 904 | 291 | 2.6 | 210 |
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 December 2018 | Average weekly wage(1) |
---|---|---|
United States(2) |
148,061,773 | $1,144 |
Nebraska |
982,981 | 930 |
Adams |
15,074 | 812 |
Antelope |
2,091 | 758 |
Arthur |
86 | 573 |
Banner |
111 | 757 |
Blaine |
131 | 673 |
Boone |
2,424 | 780 |
Box Butte |
3,768 | 726 |
Boyd |
574 | 594 |
Brown |
1,222 | 733 |
Buffalo |
27,432 | 798 |
Burt |
1,764 | 751 |
Butler |
2,581 | 778 |
Cass |
5,774 | 763 |
Cedar |
2,654 | 749 |
Chase |
1,950 | 781 |
Cherry |
2,239 | 619 |
Cheyenne |
4,365 | 824 |
Clay |
2,321 | 909 |
Colfax |
5,168 | 893 |
Cuming |
3,651 | 846 |
Custer |
4,511 | 778 |
Dakota |
12,652 | 945 |
Dawes |
3,041 | 659 |
Dawson |
11,525 | 808 |
Deuel |
513 | 642 |
Dixon |
1,653 | 781 |
Dodge |
17,338 | 823 |
Douglas |
342,763 | 1,039 |
Dundy |
566 | 786 |
Fillmore |
2,194 | 826 |
Franklin |
720 | 724 |
Frontier |
863 | 687 |
Furnas |
1,978 | 744 |
Gage |
8,973 | 747 |
Garden |
543 | 636 |
Garfield |
830 | 672 |
Gosper |
378 | 798 |
Grant |
292 | 664 |
Greeley |
620 | 679 |
Hall |
34,756 | 813 |
Hamilton |
3,618 | 908 |
Harlan |
820 | 663 |
Hayes |
208 | 631 |
Hitchcock |
660 | 720 |
Holt |
4,490 | 747 |
Hooker |
279 | 518 |
Howard |
1,590 | 697 |
Jefferson |
3,389 | 702 |
Johnson |
1,547 | 767 |
Kearney |
2,242 | 791 |
Keith |
3,163 | 710 |
Keya Paha |
149 | 568 |
Kimball |
1,446 | 743 |
Knox |
2,915 | 685 |
Lancaster |
172,364 | 904 |
Lincoln |
14,366 | 790 |
Logan |
190 | 625 |
Loup |
122 | 479 |
Madison |
22,026 | 844 |
McPherson |
72 | 636 |
Merrick |
2,313 | 838 |
Morrill |
1,521 | 770 |
Nance |
1,003 | 710 |
Nemaha |
2,919 | 1,061 |
Nuckolls |
1,489 | 692 |
Otoe |
6,056 | 777 |
Pawnee |
744 | 753 |
Perkins |
1,154 | 885 |
Phelps |
4,695 | 897 |
Pierce |
1,953 | 784 |
Platte |
19,179 | 892 |
Polk |
1,471 | 753 |
Red Willow |
5,072 | 731 |
Richardson |
2,593 | 692 |
Rock |
491 | 711 |
Saline |
7,126 | 847 |
Sarpy |
73,215 | 933 |
Saunders |
5,349 | 752 |
Scotts Bluff |
16,450 | 799 |
Seward |
6,027 | 873 |
Sheridan |
1,755 | 663 |
Sherman |
809 | 613 |
Sioux |
156 | 693 |
Stanton |
1,354 | 1,330 |
Thayer |
2,362 | 791 |
Thomas |
257 | 636 |
Thurston |
2,975 | 905 |
Valley |
1,770 | 741 |
Washington |
7,802 | 1,168 |
Wayne |
4,261 | 725 |
Webster |
1,031 | 654 |
Wheeler |
313 | 752 |
York |
7,565 | 842 |
Footnotes |
||
NOTE: Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. |
State | Employment | Average weekly wage (1) | ||||
---|---|---|---|---|---|---|
December 2018 (thousands) | Percent change, December 2017-18 | Average weekly wage | National ranking by level | Percent change, fourth quarter 2017-18 | National ranking by percent change | |
United States (2) |
148,061.8 | 1.5 | $1,144 | -- | 3.2 | -- |
Alabama |
1,986.6 | 1.6 | 957 | 36 | 3.1 | 33 |
Alaska |
308.3 | 0.4 | 1,103 | 16 | 4.9 | 7 |
Arizona |
2,921.1 | 3.0 | 1,017 | 24 | 4.1 | 11 |
Arkansas |
1,227.0 | 0.8 | 869 | 50 | 2.4 | 43 |
California |
17,556.7 | 1.7 | 1,392 | 4 | 3.3 | 26 |
Colorado |
2,713.7 | 2.2 | 1,180 | 10 | 4.1 | 11 |
Connecticut |
1,697.9 | 0.5 | 1,334 | 5 | 1.3 | 49 |
Delaware |
451.2 | 1.1 | 1,107 | 15 | 2.4 | 43 |
District of Columbia |
775.1 | 0.6 | 1,943 | 1 | 7.3 | 2 |
Florida |
8,902.7 | 2.1 | 1,006 | 27 | 3.1 | 33 |
Georgia |
4,499.8 | 1.8 | 1,053 | 21 | 2.4 | 43 |
Hawaii |
669.3 | 0.6 | 1,016 | 25 | 3.3 | 26 |
Idaho |
734.4 | 3.2 | 890 | 47 | 3.6 | 20 |
Illinois |
6,026.0 | 0.3 | 1,189 | 9 | 3.3 | 26 |
Indiana |
3,086.2 | 0.9 | 941 | 38 | 2.8 | 37 |
Iowa |
1,558.4 | 0.5 | 966 | 35 | 3.0 | 35 |
Kansas |
1,402.2 | 0.8 | 927 | 41 | 3.7 | 18 |
Kentucky |
1,914.0 | 0.3 | 924 | 42 | 3.2 | 30 |
Louisiana |
1,934.1 | 0.7 | 968 | 34 | 3.8 | 15 |
Maine |
618.4 | 1.3 | 906 | 44 | 2.5 | 41 |
Maryland |
2,702.5 | 0.8 | 1,228 | 8 | 1.7 | 48 |
Massachusetts |
3,620.3 | 1.0 | 1,457 | 2 | 3.3 | 26 |
Michigan |
4,366.5 | 1.0 | 1,077 | 19 | 1.3 | 49 |
Minnesota |
2,902.3 | 0.9 | 1,140 | 14 | 3.6 | 20 |
Mississippi |
1,144.3 | 0.2 | 793 | 51 | 2.5 | 41 |
Missouri |
2,821.3 | 0.5 | 980 | 31 | 3.6 | 20 |
Montana |
468.8 | 1.6 | 888 | 48 | 5.2 | 5 |
Nebraska |
983.0 | 0.2 | 930 | 40 | 3.2 | 30 |
Nevada |
1,397.4 | 3.3 | 1,006 | 27 | 5.3 | 4 |
New Hampshire |
666.0 | 0.7 | 1,158 | 12 | 2.3 | 46 |
New Jersey |
4,125.6 | 0.8 | 1,298 | 6 | 2.7 | 38 |
New Mexico |
830.2 | 1.5 | 905 | 45 | 4.6 | 9 |
New York |
9,613.2 | 1.5 | 1,445 | 3 | 1.0 | 51 |
North Carolina |
4,458.9 | 1.6 | 1,013 | 26 | 5.1 | 6 |
North Dakota |
422.3 | 1.5 | 1,057 | 20 | 4.7 | 8 |
Ohio |
5,442.9 | 0.5 | 1,006 | 27 | 3.4 | 24 |
Oklahoma |
1,632.3 | 1.5 | 932 | 39 | 4.1 | 11 |
Oregon |
1,935.8 | 1.7 | 1,052 | 22 | 3.7 | 18 |
Pennsylvania |
5,932.5 | 1.0 | 1,103 | 16 | 2.6 | 39 |
Rhode Island |
487.2 | 0.8 | 1,085 | 18 | 2.6 | 39 |
South Carolina |
2,119.6 | 2.8 | 893 | 46 | 1.9 | 47 |
South Dakota |
428.4 | 1.2 | 885 | 49 | 3.4 | 24 |
Tennessee |
3,039.8 | 1.8 | 1,030 | 23 | 3.0 | 35 |
Texas |
12,531.7 | 2.5 | 1,148 | 13 | 3.5 | 23 |
Utah |
1,511.5 | 3.2 | 972 | 33 | 3.8 | 15 |
Vermont |
314.2 | -0.4 | 954 | 37 | 3.2 | 30 |
Virginia |
3,927.2 | 1.1 | 1,164 | 11 | 3.8 | 15 |
Washington |
3,384.2 | 2.4 | 1,292 | 7 | 6.3 | 3 |
West Virginia |
704.2 | 1.5 | 917 | 43 | 8.3 | 1 |
Wisconsin |
2,892.3 | 0.6 | 989 | 30 | 4.0 | 14 |
Wyoming |
272.1 | 1.8 | 978 | 32 | 4.4 | 10 |
Puerto Rico |
896.4 | 0.8 | 576 | (3) | 0.9 | (3) |
Virgin Islands |
34.5 | 0.5 | 925 | (3) | 2.3 | (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, July 08, 2019