Counties with highest wage growth, first quarter 2007
October 22, 2007
Among the largest counties, Trumbull, Ohio, which is in the Youngstown area, had the highest percent change in average weekly wages with an increase of 22.3 percent between the first quarter of 2006 and the first quarter of 2007. New York County, New York—comprised entirely of the borough of Manhattan—was second with growth of 16.7 percent, followed by the counties of Cobb, Georgia (which is in the Atlanta area), Suffolk, Massachusetts (which includes Boston), and Clay, Missouri (which is in the Kansas City area).
New York County experienced substantial over-the-year wage growth which had a significant impact on national average weekly wage growth in the first quarter of 2007. Without New York County’s over-the-year employment and wage growth, national average weekly wage growth would have been 4.2 percent rather than 5.1 percent.
The BLS Quarterly Census of Employment and Wages program produced these data, which are preliminary and subject to revision. Data presented here are for all workers covered by State and Federal unemployment insurance programs. The largest counties are those with employment levels of 75,000 or more. Find out more in "County Employment and Wages: First Quarter 2007" (PDF) (TXT), news release 07-1583.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Counties with highest wage growth, first quarter 2007 on the Internet at https://www.bls.gov/opub/ted/2007/oct/wk4/art01.htm (visited August 09, 2020).
Recent editions of Spotlight on Statistics
- Using BLS Data to Match People with Disabilities with Jobs Presents data that can help increase access and opportunity for people with disabilities in the nation’s labor market.
- How Women and Aging Affect Trends in Labor Force Growth Examines how women’s labor force participation and the aging of the U.S. population affect trends in labor force growth.
- Meal Appeal: Patterns of Expenditures on Food away from Home
Examines spending on food away from home, such as meals or snacks from restaurants, vending machines, employer cafeterias, or other venues.
- Job Flexibilities and Work Schedules in 2017–18
Examines data on job flexibilities, such as working at home, flexible schedules, and shift work.