Labor productivity in manufacturing industries, 2012
April 02, 2014
Labor productivity–defined as output per hour–increased in 13 of the 21 manufacturing industries in 2012. Output increased in 17 industries, and hours fell in 5 industries.
|3-digit manufacturing industry||Output per hour||Output||Hours|
Furniture and related products
Computer and electronic products
Fabricated metal products
Plastics and rubber products
Beverage and tobacco products
Paper and paper products
Printing and related support activities
Nonmetallic mineral products
Textile product mills
Electrical equipment and appliances
Leather and allied products
Petroleum and coal products
|Note: All measures are preliminary and subject to revision.|
Among the 21 manufacturing industries in 2012, productivity rose fastest in transportation equipment (5.6 percent), where output increased much faster than hours (12.8 percent and 6.8 percent, respectively). From 2011 to 2012, 10 of those industries registered greater productivity growth or smaller productivity declines.
These data are from the Labor Productivity and Costs program. The productivity measures reflect data classified according to the 2007 North American Industry Classification System (NAICS). The industry comparisons shown here are at the 3-digit level of the 6-digit NAICS coding structure. All of the measures for 2012 are preliminary and subject to revision. To learn more, see "Productivity and Costs by Industry: Manufacturing Industries, 2012" (HTML) (PDF), news release USDL‑14‑0492.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Labor productivity in manufacturing industries, 2012 on the Internet at http://www.bls.gov/opub/ted/2014/ted_20140402.htm (visited December 18, 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.