States with statistically significant employment changes, May 2013
June 25, 2013
From April 2013 to May 2013, nonfarm payroll employment increased in 33 states and the District of Columbia and decreased in 17 states. The largest over-the-month increases in employment occurred in Ohio (+32,100), Texas (+19,500), and Michigan (+18,100). The largest over-the-month decrease in employment occurred in Pennsylvania (-9,200), followed by South Carolina (-7,700) and Florida (-6,200).
|State||Over-the-month change (p)|
From May 2012 to May 2013, 11 states had statistically significant over-the-month changes in employment, 7 of which were increases. The largest statistically significant job gains occurred in Ohio (+32,100), Michigan (+18,100), and New Jersey (+14,300). The largest statistically significant job decreases occurred in South Carolina (-7,700), Arkansas (-5,900), and Alaska (-4,200).
|State||Over-the-year change (p)|
Over the year, 31 states had statistically significant changes in employment, all of which were positive. The largest over-the-year job increase occurred in Texas (+324,700), followed by California (+252,100) and Florida (+122,500).
These data are from the Current Employment Statistics (State and Metro Area) program. Data for the most recent month are preliminary and subject to revision. To learn more, see "Regional and State Employment and Unemployment — May 2013" (HTML) (PDF), news release USDL‑13‑1180.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, States with statistically significant employment changes, May 2013 on the Internet at http://www.bls.gov/opub/ted/2013/ted_20130625.htm (visited August 02, 2015).
Recent editions of Spotlight on Statistics
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.