Value of quality changes for 2002 passenger cars and light trucks
November 14, 2001
The retail equivalent value of quality changes for 2002 passenger cars was higher than that for light trucks.
The retail equivalent value of quality changes for the 2002 model year domestic passenger cars averaged $68.30. This represents 20.2 percent of the average $337.94 over-the-year increase in manufacturer's suggested list prices.
The retail equivalent value of quality changes for the 2002 model year domestic light trucks averaged $17.59, or 7.1 percent of the average $248.20 over-the-year increase in manufacturer's suggested list prices.
The value of changes for passenger cars and light trucks represent changes in levels of standard or optional equipment, federal safety mandates, and non-mandated quality changes.
These data are a product of the BLS Producer Price Index program. Learn more in "Report on Quality Changes for 2002 Model Vehicles," news release USDL 01-405 (PDF 10K). Estimates of the value of quality changes were based on a sample of 18 model-year 2002 domestic passenger cars and 16 light trucks included in the Producer Price Index for October.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Value of quality changes for 2002 passenger cars and light trucks on the Internet at https://www.bls.gov/opub/ted/2001/nov/wk2/art02.htm (visited September 30, 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.