"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 3.4% in May to 3.2% in June. Wyoming’s unemployment rate has fallen in each of the past three months and is much lower than the current U.S. rate of 4.2%.
From May to June, unemployment rates fell in 20 counties and remained unchanged in three counties. Jobless rates often decrease in June as seasonal job gains occur in many sectors, including construction, leisure & hospitality, and professional & business services. The largest unemployment rate decreases were found in Teton (down from 2.6% to 1.7%), Sublette (down from 2.9% to 2.5%), and Lincoln (down from 2.5% to 2.1%) counties.
Compared to a year earlier, unemployment rates decreased in nearly every county around the state. The largest decreases occurred in Carbon (down from 3.8% to 2.6%), Goshen (down from 3.7% to 2.6%), and Big Horn (down from 4.2% to 3.1%) counties. Niobrara County’s unemployment rate held steady at 3.4%.
In June, Teton County had the lowest unemployment rate at 1.7%. It was followed by Lincoln County at 2.1%. The highest unemployment rates were found in Niobrara and Sweetwater counties, both at 3.4%.
Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 301,600 in June 2025 to 304,100 in June 2026, an increase of 2,500 jobs (0.8%).
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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