Metro area employment, January 2014
March 26, 2014
From January 2013 to January 2014, nonfarm payroll employment increased in 316 metropolitan areas, decreased in 48 areas, and was unchanged in 8 areas (not seasonally adjusted). The largest over-the-year employment increases occurred in New York-Northern New Jersey-Long Island, New York-New Jersey-Pennsylvania (+135,600), Los Angeles-Long Beach-Santa Ana, California (+129,800), and Dallas-Fort Worth-Arlington, Texas (+95,900).
|Metropolitan area||Employment change|
New York-Northern New Jersey-Long Island, NY-NJ-PA
Los Angeles-Long Beach-Santa Ana, CA
Dallas-Fort Worth-Arlington, TX
Houston-Sugar Land-Baytown, TX
Miami-Fort Lauderdale-Pompano Beach, FL
Virginia Beach-Norfolk-Newport News, VA
The largest over-the-year decrease in employment occurred in Albuquerque, New Mexico (–4,100), followed by Peoria, Illinois (–3,400), and Charleston, West Virginia (–2,900). The largest over-the-year percentage decreases in employment occurred in Anniston-Oxford, Alabama. (–3.7 percent), Danville, Virginia (–3.2 percent), and Bloomington-Normal, Illinois. (–2.7 percent).
Over the year, nonfarm employment rose in 36 of the 38 metropolitan areas with annual average employment levels above 750,000 in 2013.
These data are from the Current Employment Statistics (State and Metro Area) program. Data for the most recent month (January 2014) are preliminary and subject to revision. The data are not seasonally adjusted. To learn more, see "Metropolitan Area Employment and Unemployment — January 2014" (HTML) (PDF), news release USDL‑14‑0435.
Bureau of Labor Statistics, U.S. Department of Labor, The Editor's Desk, Metro area employment, January 2014 on the Internet at http://www.bls.gov/opub/ted/2014/ted_20140326.htm (visited September 19, 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.