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19-1410-SAN
Wednesday, July 31, 2019
Employment increased in 28 of the 29 large counties in California from December 2017 to December 2018, the U.S. Bureau of Labor Statistics reported today. (Large counties are those with 2017 annual average employment levels of 75,000 or more.) Assistant Commissioner for Regional Operations Richard Holden noted that the annual rates of job growth in 15 large counties in California exceeded the national rate of 1.5 percent in December 2018. San Francisco County had the largest increase in employment at 3.8 percent, followed by Kern County at 3.6 percent. The only large county with an employment decline was Butte (-0.9 percent).
Nationally, 296 of the 349 largest U.S. counties registered increases from December 2017 to December 2018. Midland, TX, recorded 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 29 largest counties in California, employment was highest in Los Angeles County (4,515,900) in December 2018, while Napa County had the smallest employment level (76,300). Together, California’s large counties accounted for 94.2 percent of total employment within the state. Nationwide, the 349 largest counties made up 73.2 percent of total U.S. employment.
From the fourth quarter of 2017 to the fourth quarter of 2018, average weekly wages increased in all but one of California’s large counties. Nationally, average weekly wages advanced 3.2 percent. (See table 1.)
Employment and wage levels (but not over-the-year changes) are also available for the 29 counties in California with employment below 75,000. All of these smaller counties had average weekly wages below the national average of $1,144 in the fourth quarter of 2018. (See table 2).
Large county wage changesAs noted, average weekly wages in 28 large California counties increased from the fourth quarter of 2017 to the fourth quarter of 2018. San Francisco County’s 10.4-percent wage increase was the largest in the state and ranked seventh among the 349 large U.S. counties. Seven other counties’ wage gains in the state ranked in the top quarter nationally. The only county with a wage decline in the state was San Mateo, down 1.1 percent. (See table 1.)
Nationally, 332 of the 349 largest counties had over-the-year increases in average weekly wages. Tippecanoe, IN, had the largest over-the-year wage gain at 15.1 percent, followed by Williamson, TN (13.1 percent) and Olmsted, MN (13.0 percent).
Of the 349 largest U.S. counties, 15 had over-the-year wage decreases. Washington, PA, had the largest percentage decrease in average weekly wages (-6.6 percent), followed by Elkhart, IN (-5.0 percent).
Large county average weekly wagesNationwide, average weekly wages were above the U.S. average ($1,144) in 94 of the 349 largest counties in the fourth quarter of 2018. In California, wages in 13 of the 29 large counties exceeded the national average during the same period. Three California counties held the top positions in the nation: Santa Clara ($2,670, 1st), San Francisco ($2,452, 2nd), and San Mateo ($2,410, 3rd).
Among the largest U.S. counties, 255 had weekly wages below the national average in the fourth quarter of 2018. Hidalgo, TX ($680) reported the lowest wage, followed by the counties of Cameron, TX, and Horry, SC ($685 each).
The lowest average weekly wages in California counties were Tulare ($813, 333rd), Merced ($837, 329th), and Butte ($869, 313th), all within the bottom fifth of the national ranking.
Average weekly wages in California’s smaller countiesAll 29 counties in California with employment below 75,000 had average weekly wages lower than the national average of $1,144. Among these smaller counties, Yuba had the highest average weekly wage at $1,033 in the fourth quarter of 2018, while Alpine ($647) had the lowest weekly wage. (See table 2.)
When all 58 counties in California were considered, 7 had wages of $799 or lower. Eighteen counties had average weekly wages ranging from $800 to $899, 13 had wages from $900 to $999, and 20 had wages at or above $1,000. (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 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 https://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://beta.bls.gov/labs/blogs/2019/04/17/bls-local-data-app-now-available-for-android-devices/.
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. 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) | |||||
---|---|---|---|---|---|---|---|
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 | -- |
California |
17,556.7 | 1.7 | -- | 1,392 | 4 | 3.3 | 26 |
Alameda, Calif. |
793.0 | 1.5 | 134 | 1,511 | 15 | 4.2 | 80 |
Butte, Calif. |
82.8 | -0.9 | 340 | 869 | 313 | 5.5 | 34 |
Contra Costa, Calif. |
370.1 | 0.1 | 282 | 1,387 | 28 | 3.4 | 137 |
Fresno, Calif. |
392.0 | 3.1 | 24 | 904 | 291 | 1.7 | 279 |
Kern, Calif. |
326.1 | 3.6 | 14 | 923 | 276 | 3.6 | 113 |
Los Angeles, Calif. |
4,515.9 | 1.2 | 161 | 1,380 | 30 | 2.1 | 249 |
Marin, Calif. |
116.7 | 0.6 | 227 | 1,466 | 19 | 4.2 | 80 |
Merced, Calif. |
79.6 | 0.4 | 251 | 837 | 329 | 2.6 | 210 |
Monterey, Calif. |
178.2 | 1.7 | 114 | 966 | 230 | 1.7 | 279 |
Napa, Calif. |
76.3 | 2.0 | 81 | 1,158 | 84 | 3.5 | 128 |
Orange, Calif. |
1,647.4 | 0.8 | 198 | 1,251 | 58 | 0.6 | 320 |
Placer, Calif. |
170.1 | 2.6 | 41 | 1,120 | 107 | 1.4 | 296 |
Riverside, Calif. |
750.5 | 2.1 | 69 | 883 | 306 | 1.1 | 310 |
Sacramento, Calif. |
672.6 | 2.2 | 60 | 1,208 | 68 | 2.9 | 187 |
San Bernardino, Calif. |
773.0 | 2.2 | 60 | 934 | 262 | 3.0 | 176 |
San Diego, Calif. |
1,485.8 | 1.6 | 126 | 1,260 | 55 | 3.2 | 155 |
San Francisco, Calif. |
759.6 | 3.8 | 11 | 2,452 | 2 | 10.4 | 7 |
San Joaquin, Calif. |
255.0 | 1.3 | 149 | 961 | 235 | 4.0 | 89 |
San Luis Obispo, Calif. |
117.3 | 1.8 | 100 | 976 | 224 | 4.6 | 65 |
San Mateo, Calif. |
412.5 | 2.0 | 81 | 2,410 | 3 | -1.1 | 341 |
Santa Barbara, Calif. |
197.8 | 1.3 | 149 | 1,111 | 113 | 4.5 | 69 |
Santa Clara, Calif. |
1,118.3 | 2.3 | 54 | 2,670 | 1 | 4.7 | 62 |
Santa Cruz, Calif. |
101.1 | 0.6 | 227 | 1,023 | 181 | 5.7 | 31 |
Solano, Calif. |
143.4 | 1.2 | 161 | 1,153 | 87 | 3.3 | 146 |
Sonoma, Calif. |
211.6 | 1.4 | 139 | 1,122 | 105 | 5.1 | 51 |
Stanislaus, Calif. |
188.4 | 0.8 | 198 | 943 | 254 | 3.1 | 164 |
Tulare, Calif. |
162.8 | 1.9 | 86 | 813 | 333 | 0.1 | 332 |
Ventura, Calif. |
330.2 | 0.5 | 242 | 1,102 | 120 | 2.4 | 227 |
Yolo, Calif. |
104.0 | 2.0 | 81 | 1,204 | 71 | 3.6 | 113 |
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 |
California |
17,556,654 | 1,392 |
Alameda |
792,968 | 1,511 |
Alpine |
1,104 | 647 |
Amador |
12,278 | 907 |
Butte |
82,781 | 869 |
Calaveras |
9,724 | 827 |
Colusa |
8,718 | 912 |
Contra Costa |
370,060 | 1,387 |
Del Norte |
7,963 | 760 |
El Dorado |
59,380 | 1,019 |
Fresno |
391,986 | 904 |
Glenn |
9,142 | 863 |
Humboldt |
51,124 | 806 |
Imperial |
62,578 | 799 |
Inyo |
7,536 | 890 |
Kern |
326,083 | 923 |
Kings |
49,050 | 863 |
Lake |
16,122 | 777 |
Lassen |
9,844 | 939 |
Los Angeles |
4,515,898 | 1,380 |
Madera |
50,906 | 864 |
Marin |
116,740 | 1,466 |
Mariposa |
5,317 | 803 |
Mendocino |
32,518 | 798 |
Merced |
79,605 | 837 |
Modoc |
2,350 | 781 |
Mono |
7,691 | 767 |
Monterey |
178,180 | 966 |
Napa |
76,261 | 1,158 |
Nevada |
32,488 | 921 |
Orange |
1,647,448 | 1,251 |
Placer |
170,087 | 1,120 |
Plumas |
6,142 | 860 |
Riverside |
750,475 | 883 |
Sacramento |
672,611 | 1,208 |
San Benito |
16,238 | 972 |
San Bernardino |
772,975 | 934 |
San Diego |
1,485,827 | 1,260 |
San Francisco |
759,635 | 2,452 |
San Joaquin |
255,034 | 961 |
San Luis Obispo |
117,300 | 976 |
San Mateo |
412,452 | 2,410 |
Santa Barbara |
197,802 | 1,111 |
Santa Clara |
1,118,270 | 2,670 |
Santa Cruz |
101,127 | 1,023 |
Shasta |
67,052 | 888 |
Sierra |
506 | 839 |
Siskiyou |
13,404 | 816 |
Solano |
143,437 | 1,153 |
Sonoma |
211,580 | 1,122 |
Stanislaus |
188,401 | 943 |
Sutter |
29,929 | 842 |
Tehama |
18,572 | 895 |
Trinity |
2,653 | 911 |
Tulare |
162,794 | 813 |
Tuolumne |
17,735 | 883 |
Ventura |
330,221 | 1,102 |
Yolo |
103,963 | 1,204 |
Yuba |
18,148 | 1,033 |
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 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: Wednesday, July 31, 2019