Five days away from work is median for injury or illness
May 04, 1999
In 1997, the median number of days away from work for an occupational injury or illness was 5 days. This key measure of severity of workplace injuries and illness designates the point at which half of the cases involved more days and half involved fewer days.
Median days away from work were highest for carpel tunnel syndrome (25 days), fractures (21 days), and amputations (18 days) among the major types of disabling injuries and illnesses. Among the events and exposures leading to injury, repetitive motion, such as grasping tools, scanning groceries, and typing, resulted in the longest absences from work with a median of 17 days.
Truck drivers had the highest median days away from work (9 days), followed by carpenters, plumbers, and pipe fitters, public transportation attendants, and butchers and meat cutters (each with 8 days). Workers injured in mining had the highest median days away from work among the major industry divisions (18 days).
These data are a product of the BLS Safety and Health Statistics program. For a summary of lost-worktime injuries and illnesses in 1997, see "Lost-worktime injuries and illnesses decline from 1993 to 1997", The Editor's Desk. Additional information is available from news release USDL 99-102, "Lost-worktime Injuries and Illnesses: Characteristics and Resulting Time Away From Work, 1997."
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Five days away from work is median for injury or illness on the Internet at http://www.bls.gov/opub/ted/1999/may/wk1/art02.htm (visited November 21, 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.