"Labor Market Information (LMI) is an applied science; it is the systematic collection and analysis of data which describes and predicts the relationship between labor demand and supply." The States' Labor Market Information Review, ICESA, 1995, p. 7.
by: David Bullard, Senior Economist
The Research & Planning section of the Wyoming Department of Workforce Services reported that the state’s seasonally adjusted1 unemployment rate remained unchanged from September to October at 2.9%. Wyoming’s unemployment rate was much lower than its October 2022 level of 3.9% and lower than the current U.S. rate of 3.9%. From October 2022 to October 2023, Wyoming’s labor force grew by an estimated 4,626 individuals (1.6%).
From September to October, most county unemployment rates remained low and stable. Unemployment increased slightly in Teton County (up from 1.5% to 2.0%), in Johnson County (up from 2.2% to 2.4%), and in Park County (up from 2.1% to 2.3%). Weston County’s unemployment rate fell from 2.0% to 1.7%.
Unemployment rates decreased from their year-ago levels in every county, suggesting steady improvement in Wyoming’s economy. The largest decreases in unemployment occurred in Carbon (down from 3.8% to 2.4%), Washakie (down from 3.7% to 2.6%), Sweetwater (down from 4.0% to 2.9%), Fremont (down from 3.8% to 2.7%), and Big Horn (down from 3.7% to 2.6%) counties.
Weston County reported the lowest unemployment rate in October at 1.7%. It was followed by Crook, Niobrara, and Teton counties, each at 2.0%. The highest unemployment rates were found in Sublette and Sweetwater counties, both at 2.9%.
Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 287,200 in October 2022 to 295,100 in October 2023, an increase of 7,900 jobs (2.8%).
R&P's most recent monthly news release is available at https://doe.state.wy.us/LMI/news.htm.
1Seasonal 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.
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