April 28, 2011
In March, 260 metropolitan areas reported over-the-year increases in nonfarm payroll employment, 101 reported decreases, and 11 were unchanged. The largest over-the-year employment increase occurred in Dallas-Fort Worth-Arlington, Texas (+69,000), followed by Houston-Sugar Land-Baytown, Texas (+51,800); Chicago-Joliet-Naperville, Illinois-Indiana-Wisconsin (+47,700); New York-Northern New Jersey-Long Island, New York-New Jersey-Pennsylvania (+47,300); and Los Angeles-Long Beach-Santa Ana, California (+39,500).
The largest over-the-year percentage gain in employment occurred in Sandusky, Ohio (+7.8 percent), followed by Joplin, Missouri (+6.9 percent); and Kokomo, Indiana (+6.7 percent).
The largest over-the-year employment decrease was recorded in Sacramento—Arden-Arcade—Roseville, California (−14,600), followed by Memphis, Tennessee-Mississippi-Arkansas (−7,500); Baltimore-Towson, Maryland (−5,300); Atlanta-Sandy Springs-Marietta, Georgia (−4,900); and Trenton-Ewing, New Jersey (−3,900).
The largest over-the-year percentage decrease in employment occurred in Pine Bluff, Arkansas (−3.2 percent), followed by Lewiston, Idaho-Washington; and Yuma, Arizona (−2.7 percent each).
These data are from the Current Employment Statistics (State and Metropolitan Area) program. For more information, see "Metropolitan Area Employment and Unemployment – March 2011" (HTML) (PDF), new release USDL-11-0585. Data for the most recent month are preliminary and subject to revision.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Employment in metropolitan areas, March 2011 on the Internet at http://www.bls.gov/opub/ted/2011/ted_20110428.htm (visited August 29, 2015).
New estimates of personal taxes in Consumer Expenditure Survey
In 2013, the Consumer Expenditure Survey improved its personal tax data.
Trends in long-term unemployment
Long-term unemployment reached historically high levels following the recession of 2007–2009.
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.