The rate at which workers employed in North Carolina are hired or separate from their jobs (“turnover”) has decreased over the past 20 years. To what extent is this occurring across the state’s 15 metro areas? And is there a connection between metro-area turnover rates and wage growth?
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You may have heard that suburban growth is on the decline as people flock to urban areas, but this may not be so. Recent research challenges this and other urban legends.
Although January 2015 labor force and employment estimates for North Carolina will not be released until March 17 due to annual processing and benchmarking of the data, North Carolina's economy is heading into 2015 on a strong, upward trend.
While national labor force participation has steadily declined from a high of 67 percent in the late 1990s to less than 63 percent in December, a surprising trend shows participation rates among the United States’ poorest households rising over the last decade.
Annual revisions of the Labor Area Unemployment Statistics and Current Employment Statistics programs will delay the release of North Carolina January 2015 employment figures.
Unemployment rates for those who lost or left their most recent job (“separators”) versus those just entering the labor force (“entrants”) diverge sharply during periods of recession. This article shows how tracking trends among these two subgroups can help us gauge North Carolina’s labor market recovery and better understand the different manifestations of joblessness in our state.
The new Metropolitan and Micropolitan Statistical Areas designations will go into effect with the release of North Carolina's January 2015 data from Bureau of Labor Statistics programs.
Before choosing a college major, it may do well to consider the employment opportunities in that field of study.
Which pays more on average: teaching elementary school or patrolling the streets as a police officer? Every day, 4.2 million North Carolinians go to work in their chosen profession. Which occupations pay more than average wages and which pay less? Analyzing data from LEAD’s Occupational Employment Statistics (OES) program and occupational employment projections helps us to find out.