North Carolina’s October County and Area Employment Figures Released

North Carolina’s October County and Area Employment Figures Released

By / State News / Tuesday, 05 December 2017 05:00

RALEIGH, N.C. : Nov. 30th, 2017 - Unemployment rates (not seasonally adjusted) increased in 93 of North Carolina’s counties in October and remained unchanged in seven. Scotland County had the highest unemployment rate at 7.2 percent, while Buncombe County had the lowest at 3.1 percent. All 15 of the state’s metro areas experienced rate increases. Among the metro areas, Rocky Mount at 6.0 percent had the highest rate and Asheville had the lowest rate at 3.3 percent. The October not seasonally adjusted statewide rate was 4.1 percent.
When compared to the same month last year, not seasonally adjusted unemployment rates decreased all 100 counties. All 15 metro areas experienced rate decreases over the year.
The number of workers employed statewide (not seasonally adjusted) decreased in October by 19,213 to 4,751,139, while those unemployed increased 7,987 to 204,020. Since October 2016, the number of workers employed statewide increased 74,326, while those unemployed decreased 47,192.
It is important to note that employment estimates are subject to large seasonal patterns; therefore, it is advisable to focus on over-the-year changes in the not seasonally adjusted estimates.
The next unemployment update is scheduled for Friday, December 22, 2017 when the state unemployment rate for November 2017 will be released.
For New Hanover County's workforce of 119,979, the October 2017 unemployment rate was 3.8% with 4,548 unemployed.
That's a 0.3% increase from September 2017 rate of 3.5% and a -­0.8% decrease from the October 2016 rate of 4.6%.
Specifically for the City of Wilmington, the October 2017 rate was 3.9%, an increase of 0.3% from the September 2017 rate of 3.6% and a -­0.8% decrease from the October 2016 rate of 4.7%.
New Hanover County ranked 22nd for unemployment in October 2017 among the State's 100 counties.
North Carolina’s statewide unemployment rate (not seasonally adjusted) was 4.1 percent in October. This increased 0.2 of a percentage point from September’s revised rate, while falling 1.0 percent over the year.
Over the month, the unemployment rate increased in 93 of 100 counties, while remaining unchanged in seven. Forty-six counties had unemployment rates at or below the state’s 4.1 percent rate.
Scotland County recorded October’s highest unemployment rate at 7.2 percent, followed by Edgecombe at 6.9 percent, Halifax at 6.8 percent, Washington & Wilson at 6.6 percent, and Warren at 6.5 percent. Buncombe County had the lowest unemployment rate at 3.1 percent, followed by Orange at 3.3 percent, and Alexander & Watauga at 3.4 percent.
Unemployment rates increased in all of the state’s 15 Metropolitan Statistical Areas (MSAs) over the month. The Rocky Mount MSA had the highest unemployment rate in October at 6.0 percent, followed by Fayetteville at 5.2 percent. Asheville reported the month’s lowest unemployment rate at 3.3 percent, followed by Durham/Chapel Hill & Raleigh at 3.6 percent.
Over the month, net industry employment increased in 11 of 15 MSAs. Charlotte/Concord/Gastonia, NC-SC had the largest net employment increase with 12,400, followed by Raleigh, 3,600; Durham/Chapel Hill, 2,800; Asheville, 2,600; Greensboro/High Point, 1,300; and Rocky Mount, 1,000. Rocky Mount experienced the greatest percentage increase at 1.8 percent, followed by Asheville, 1.4 percent; and Charlotte/Concord/Gastonia, NC-SC, 1.1 percent. It is important to note that employment estimates are subject to large seasonal patterns; therefore, it is advisable to focus on over-the-year changes in the not seasonally adjusted series.
Over the year, employment increased in 13 of 15 MSAs. Charlotte/Concord/Gastonia, NC-SC had the largest net employment increase at 23,200, followed by Raleigh, 18,200; Durham/Chapel Hill, 10,700; Wilmington, 4,100; and Fayetteville, 3,300. Durham/Chapel Hill had the greatest percentage increase at 3.5 percent, followed by Wilmington, 3.3 percent; and Raleigh, 3.0 percent.
The estimates presented are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability--that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used.
Model-based error measures for seasonally adjusted and not seasonally adjusted data and for overthe-month and over-the-year changes to LAUS statewide estimates are available online at www.bls.gov/lau/lastderr.htm

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