County employment and wages, fourth quarter 2013
June 23, 2014
From December 2012 to December 2013, employment increased in 292 of the 334 largest U.S. counties. Among the largest counties, Weld, Colorado, had the largest percentage increase in employment (6.0 percent), followed by Lee, Florida (5.5 percent), Sonoma, California (5.2 percent), and Douglas, Colorado (5.2 percent). Over the same period, employment in the United States increased by 1.8 percent.
Employment declined in 39 of the large counties from December 2012 to December 2013, with St. Clair, Illinois, registering the largest over-the-year percentage decrease in employment (–3.1 percent).
Average weekly wages for the nation as a whole were unchanged during the year ending in December 2013. Among the 334 largest counties, 185 had over-the-year increases in average weekly wages. Santa Cruz, California, had the largest percentage increase (6.5 percent), followed by Ada, Idaho (6.4 percent), Washington, Oregon (5.9 percent), and Union, New Jersey (5.2 percent).
Of the 334 largest counties, 140 experienced over-the-year decreases in average weekly wages. Douglas, Colorado, had the largest percentage decrease in average weekly wages (–29.7 percent), followed by San Mateo, California (–15.8 percent).
These data are from the BLS Quarterly Census of Employment and Wages program. To learn more, see "County Employment and Wages: Fourth Quarter 2013" (HTML) (PDF), news release USDL-14-1138. These data are derived from summaries of employment of workers covered by state and federal unemployment insurance. Data for 2013 are preliminary and subject to revision.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, County employment and wages, fourth quarter 2013 on the Internet at http://www.bls.gov/opub/ted/2014/ted_20140623.htm (visited September 30, 2014).
Three recent editions of Spotlight on Statistics
Housing: before, during, and after the Great Recession
looks at consumer expenditures on household items, employment in residential construction, prices for household items, and injuries in occupations involved in building and maintaining our homes.
Women veterans in the labor force examines the demographic, employment, and unemployment characteristics of women veterans.
BLS Statistics by Occupation provides an overview of occupational employment and wages with an emphasis on STEM jobs and occupational data by typical entry-level education required.