"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 decreased from 3.2% in June to 3.0% in July. Wyoming’s unemployment rate is somewhat lower than its year-ago level of 3.3% and much lower than the current U.S. rate of 4.1%.
From June to July, most county jobless rates changed very little. The three areas with the largest unemployment rate decreases were Niobrara (down from 3.4% to 3.1%), Sublette (down from 2.6% to 2.3%), and Weston (down from 2.6% to 2.3%) counties. On the other hand, Fremont County’s unemployment rate rose from 3.2% in June to 3.5% in July.
From July 2025 to July 2026, unemployment rates fell in 20 counties and increased slightly in three counties. The largest decreases occurred in Carbon (down from 3.5% to 2.5%), Big Horn (down from 3.9% to 3.0%), and Uinta (down from 3.3% to 2.5%) counties. Very slight increases were seen in Crook (up from 2.1% to 2.2%), Johnson (up from 2.2% to 2.3%), and Teton (up from 1.5% to 1.6%) counties.
In July, the highest unemployment rates were found in Fremont County at 3.5%, Sweetwater County at 3.4%, and Niobrara County at 3.1%. Teton County posted the lowest unemployment rate at 1.6%. It was followed by Lincoln, Crook, and Albany counties, all at 2.2%.
Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) remained unchanged from July 2025 to July 2026 at 300,800 jobs.
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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