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The State of Industry Labor

Declining manufacturing employment has been a cause for concern. Learn what the next few years hold and how industry labor compares with the rest of the country’s workforce:



First the bad news: manufacturing employment is expected to decline over the 2002 to 2012 period by 1%, according to the Bureau of Labor Statistics. (In comparison, total employment for all industry sectors is projected to increase 14.8%).

Now the good news: this rate of decline marks a significant slowdown from the dramatic decrease in manufacturing employment since 2000. It’s well-publicized that the sector shed more than 3 million jobs since that year with manufacturing employment averaging just 14,329,000 during 2004, far below the annual average employment of above 17 million between 1994 and 2000.

Also encouraging: some manufacturing employers are offering higher starting wages as they find it increasingly difficult to get skilled workers for key positions, according to new figures from the Leading Indicator of National Employment, released last week by the Society for Human Resource Management (SHRM) and the Rutgers University School of Management and Labor Relations.

But why is employment growth flatlining, when economists forecast a shortage of workers in the second half of this decade and at a time when industrial production is on the rise?

The simple answer is that U.S. manufacturers are now able to produce more with fewer people. Additionally, this recent article points out that “labor intensive industries, such as textiles, will continue moving factories to low-wage countries” while “manufacturing processes that require only a few skilled workers operating sophisticated machinery” will remain in the country.

Thus, despite the more-robust-than-expected recovery of U.S. manufacturing, most economists and analysts agree: don’t expect an increase in the number of jobs in this sector.

Here are other revealing facts about the state of industry labor from the Bureau of Labor Statistics:

• Last year, there were 1,467 extended mass layoff events in manufacturing, resulting in 254,430 separations of workers from their jobs and 261,897 initial claimants for unemployment insurance. These 2004 numbers are the lowest in the 1995-2004 period.

• In 2004, the unemployment rate of persons most recently employed in manufacturing industries was 5.7%. The overall unemployment rate was 5.5%.

• In the economy as a whole, manufacturing accounts for some 11.3% of all employment, yet less than 5% of all establishments.

• The average weekly hours of production workers in manufacturing hovered around 40.8 in 2004, well above the private industry average of 33.7 for production and nonsupervisory workers.

• Average hourly earnings of production workers in manufacturing were $16.14 in 2004, somewhat higher than the average of $15.67 for production and nonsupervisory workers in all private industry.

• From 2003 to 2004, labor productivity (defined as output per hour) grew by 5.3% in manufacturing.

• The producer price index for the net output of total manufacturing industries increased 4.2% from 2003 to 2004.

• In 2003, there were 420 fatal occupational injuries in manufacturing and 973,600 nonfatal injuries and illnesses. The nonfatal injuries and illnesses incidence rate was 6.8 per 100 full-time workers in manufacturing and 5.0 per 100 full-time workers in all private industry.

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Comments:
  • john t bevil
    August 29, 2005

    I would challenge the effect of the numbers to reflect the differnce between the hourly pay of Texicans and California and so on, also the cost broken down by real numbers to show the cost average house payment with 30 year fix, fuel,
    electric,water,inshurances and ave yearly food and medical,and where the most of the jobs are going,the numbers your reading are from a starving
    country, OOPS you mean The US is Starving
    LOVE MOM


  • Greasy Gus
    August 30, 2005

    IIRC productivity measures have a variable known as “Purchased Outside Business Services” included in BLS models. I wonder what happens to productivity figures when that one variable is turned off.


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