Lost-worktime injuries and illnesses by day of week, 2002

December 03, 2004

The 1.1 million cases of lost-worktime injuries and illnesses reported in 2002 that included data on the time of the incident were fairly evenly distributed from Monday through Friday.

Percent distribution of nonfatal occupational injuries and illnesses involving days away from work by day of week injury or illness occurred, 2002
[Chart data—TXT]

Among high incident occupations, truck drivers (includes heavy, tractor-trailer, and light or delivery truck drivers), janitors and cleaners, and carpenters had a greater proportion of injuries and illnesses on Mondays.

In contrast, cooks and sales workers had a greater proportion of their injuries and illnesses on Thursdays and Fridays.

These data are from the BLS Injuries, Illnesses, and Fatalities program. Additional information is available from "Time of Lost-Workday Injuries and Illnesses, 2002: First Results Announced by BLS," (PDF) news release USDL 04-2407.


Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Lost-worktime injuries and illnesses by day of week, 2002 on the Internet at http://www.bls.gov/opub/ted/2004/nov/wk5/art05.htm (visited October 01, 2016).


Recent editions of Spotlight on Statistics

  • A look at healthcare spending, employment, pay, benefits, and prices
    As one of the largest U.S. industries, healthcare is steadily growing to meet the needs of an increasing population with an increasing life expectancy. This Spotlight looks at how much people spend on healthcare, current and projected employment in the industry, employer-provided healthcare benefits, healthcare prices, and pay for workers in healthcare occupations.

  • Employment and Wages in Healthcare Occupations
    Healthcare occupations are a significant percentage of U.S. employment. Some of the largest and highest paying occupations are in healthcare. This Spotlight examines employment and wages for healthcare occupations.

  • Fifty years of looking at changes in peoples lives
    Longitudinal surveys help us understand long-term changes, such as how events that happened when a person was in high school affect labor market success as an adult.