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Unemployment rate 8.2 percent for July
unemployment map 8-28 w sm
The July unemployment rate in DeKalb County came in at 8.2 percent, the second lowest in the Upper Cumberland.The rate was down from 8.7 percent in June, but slightly higher than the July 2012 rate of 8.1 percent.According to the Department of Labor and Workforce Development, the local labor force in July was 9,850.Of that number, 9,040 were employed and 810 were out of work.In surrounding counties, White County reported a rate of 11.3 percent for the month, Warren County came in at 10.4 percent, and Cannon County’s rate was 8.4 percent.Putnam County had an 8.4 percent rate for July, Smith County reported a 7.3 percent rate, and 6.7 percent of Wilson Countians were unemployed.Rounding out the Upper Cumberland, Pickett County’s rate was at 12 percent for the month, Van Buren County’s rate was 12 percent, and Clay County reported a 10.5 percent July rate.Overton County had a 10.3 percent rate for the month, Jackson County’s was at 10.0 percent, Fentress County reported 9.8 percent unemployment, Cumberland County had a 9.2 percent rate, and Macon County came in at 9.1 percent.Statewide, county unemployment rates in July decreased in 79 counties, increased in 12, and remained the same in four.Specific county information is available at http://www.tn.gov/labor-wfd/labor_figures/LaborJULY2013.pdf.Of the state’s major metropolitan areas, Davidson County had the lowest major metropolitan rate, 6.7 percent, down slightly from the 7.0 percent rate in June.Knox County’s July rate dropped from 7.3 percent in June to 7.0 percent. Hamilton County dipped to 8.6 percent in July from 8.8 in June.Shelby County’s rate was at 9.8 percent in July, down from 10.3 percent the previous month.The state’s unemployment rate for July was 8.5 percent, the same rate as June. The national rate for July came in at 7.4 percent, down from the 7.6 June rate.The state unemployment rate is seasonally adjusted while the county unemployment rates are not.Seasonal adjustment is a statistical technique that eliminates the influences of weather, holidays, the opening and closing of schools, and other recurring seasonal events from economic time series.