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Wyoming Labor Force Trends

April 2026 | Volume 63, No. 4


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Wyoming Unemployment Rate Unchanged at 3.6% in February 2026

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 January to February at 3.6%. Wyoming’s unemployment rate has been slowly trending upward, but remains much lower than the U.S. unemployment rate of 4.4% in February 2026.

From January to February, most county unemployment rates followed their normal seasonal pattern and decreased slightly. The largest unemployment rate decreases occurred in Niobrara (down from 5.9% to 5.3%), Weston (down from 4.5% to 4.0%), and Washakie (down from 4.6% to 4.1%) counties.

From February 2025 to February 2026, unemployment rates rose in 19 counties, remained unchanged in two counties, and fell in two counties. The largest increases were reported in Sweetwater (up from 3.9% to 5.2%), Carbon (up from 4.3% to 5.4%), and Fremont (up from 4.7% to 5.6%) counties. Unemployment rates held steady in Campbell (3.9%) and Sheridan (3.9%) counties. Jobless rates fell very slightly in Crook (down from 3.9% to 3.8%) and Park (down from 5.0% to 4.9%) counties.

In February 2026, the lowest unemployment rates were found in Teton County at 2.8%, Albany County at 3.4%, and Crook County at 3.8%. The highest unemployment rates were reported in Big Horn County at 5.7%, Fremont County at 5.6%, and Carbon County at 5.4%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 287,500 in February 2025 to 288,400 in February 2026, an increase of 900 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.