Wyoming Unemployment Rate Falls to 4.8% in April 2013
The Research & Planning section of the Wyoming Department of Workforce Services has reported that the state's seasonally adjusteda unemployment fell from 4.9% in March to 4.8% in April. Wyoming's unemployment rate remained significantly lower than the U.S. rate of 7.5%. Seasonally adjusted employment of Wyoming residents decreased slightly, falling by 218 individuals (-0.1%) from March to April.
Nearly all county unemployment rates followed their normal seasonal pattern and decreased slightly from March to April. The largest decreases occurred in Sheridan (down from 6.8% in March to 5.7% in April), Lincoln (down from 7.9% to 6.8%), and Big Horn (down from 6.6% to 5.6%) counties. Teton County's unemployment rate rose from 5.8% in March to 8.9% in April. It is normal for Teton County's unemployment rate to increase in April as the ski season has ended and the summer tourist season has not yet begun.
Teton County posted the highest unemployment rate in April (8.9%). The next highest rates were found in Lincoln (6.8%), Johnson (6.1%), and Fremont (6.0%) counties. The lowest unemployment rates were reported in Converse (3.5%), Niobrara (3.6%), and Albany (3.6%) counties.
Most county unemployment rates declined modestly from April 2012 to April 2013. The largest decreases occurred in Teton (down from 11.1% to 8.9%), Lincoln (down from 8.8% to 6.8%), and Laramie (down from 6.1% to 5.1%) counties. Unemployment rates increased slightly in Sublette (up from 3.6% to 3.8%) and Hot Springs (up from 4.5% to 4.6%) counties.
Total nonfarm employment (measured by place of work) decreased from 284,900 in April 2012 to 282,300 in April 2013, a decline of 2,600 jobs (-0.9%).
Seasonal adjustment is a statistical procedure to remove the impact of normal regularly recurring events (such as weather, major holidays, and the opening and closing of schools) from economic time series to better understand changes in economic conditions from month to month.
Seasonal adjustment is a statistical procedure to remove the impact of normal regularly recurring events (such as weather, major holidays, and the opening and closing of schools) from economic time series to better understand changes in economic conditions from month to month.
