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The Importance of Data Occupations in the U.S. Economy

 Economics & Statistics Administration, Department of Commerce. By William Hawk, Regina Powers, Economists, and Robert Rubinovitz Deputy Chief Economist Economics and Statistics Administration Office of the Chief Economist. ESA Issue Brief #01 -15. March 12, 2015.

“The growing importance of data in the economy is hard to dispute. But what does this mean for workers and jobs? A lot, as it turns out: higher paying (over $40/hour), faster growing jobs. In this report we identify occupations where data analysis and processing are central to the work performed and measure the size of employment and earnings in these occupations , as well as in the industries that have the highest concentration of these data occupations. Key findings of the report include:

• Employment where data is central to the job was about 10.3 million in 2013 (of which 1.6 million were government workers) , or about 7.8 percent of all employment. However, including occupations where working with data is at least an important part of the job dramatically increases that number: to 74.3 million jobs, or over half of the workforce.
• Hourly wages for private-sector workers in data occupations, which are concentrated in the broad categories of business and computer/mathematical occupations, averaged $40.30 in 2013, about 68 percent higher for all occupations.
• For these top data occupations, two-thirds or more of the workers have at least a college degree; in comparison about one-third of workers across all occupations have a bachelor’sdegree or higher.
• Private sector industries with the highest concentration of data occupations added 1.8 million jobs over the last decade, representing about 31 percent of total private job growth which was four times faster than in private industries overall.
• Data intensive industries are located in many states, but the highest concentrations are in Washington, D.C.; Virginia; Massachusetts; Maryland; and Connecticut.”

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