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Wyoming Labor Force Trends

February 2026 | Volume 63, No. 2


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Wyoming Unemployment Unchanged at 3.4% in December 2025

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 was unchanged from November to December at 3.4%. Wyoming’s unemployment rate was just barely lower than its December 2024 level of 3.5% and much lower than the December 2025 U.S. rate of 4.4%.

From November to December, most county unemployment rates changed very little. Teton County was the exception. Its jobless rate fell from 4.7% to 2.6% as the winter tourist season ramped up. Unemployment rates also fell in Platte (down from 4.9% to 4.6%), and Lincoln (down from 3.4% to 3.1%) counties. Jobless rates rose somewhat in Carbon (up from 4.2% to 4.6%), Niobrara (up from 4.2% to 4.5%), and Crook (up from 3.1% to 3.3%) counties.
From December 2024 to December 2025, most unemployment rates decreased slightly or remained stable. The largest decreases were seen in Teton (down from 3.0% to 2.6%) and Sheridan (down from 3.6% to 3.3%) counties. Weston County’s unemployment rate rose from 3.4% to 3.7% and smaller increases occurred in Carbon (up from 4.4% to 4.6%), Crook (up from 3.1% to 3.3%), and Sweetwater (up from 4.1% to 4.3%) counties.

In December 2025, the lowest unemployment rates were found in Teton County at 2.6%, Albany County at 2.8%, and Lincoln County at 3.1%. The highest unemployment rates were reported in Carbon and Platte counties, both at 4.6%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) fell from 294,700 in December 2024 to 293,900 in December 2025, a decrease of 800 jobs (-0.3%).

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.