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Wyoming Labor Force Trends

December 2025 | Volume 62, No. 12


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Wyoming Unemployment Rises to 3.3% in September 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 rose slightly from 3.2% in August to 3.3% in September. Wyoming’s unemployment rate is marginally lower than its September 2024 level of 3.5% and much lower than the September 2025 U.S. unemployment rate of 4.4%.

From August to September, most county unemployment rates rose modestly. The largest increases were reported in Campbell (up from 2.5% to 2.8%), Fremont (up from 3.1% to 3.4%), Park (up from 2.5% to 2.8%), Sweetwater (up from 3.1% to 3.4%), and Weston (up from 2.4% to 2.7%) counties.

From September 2024 to September 2025, unemployment rates rose in 18 counties, remained unchanged in three counties, and fell in two counties. The largest increases occurred in Niobrara (up from 2.6% to 3.5%), Platte (up from 3.3% to 3.7%), Sweetwater (up from 3.0% to 3.4%), and Washakie (up from 2.8% to 3.2%) counties. Unemployment rates fell in Johnson (down from 2.5% to 2.2%) and Teton (down from 1.7% to 1.6%) counties. In Albany (2.3%), Sheridan (2.7%), and Weston (2.7%) counties, jobless rates were unchanged from a year earlier.

In September, the highest unemployment rates were found in Platte County at 3.7%, Big Horn County at 3.5%, and Niobrara County at 3.5%. The lowest rates were reported in Teton County at 1.6%, Johnson County at 2.2%, and Crook County at 2.2%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 299,900 in September 2024 to 301,100 in September 2025, an increase of 1,200 jobs (0.4%).

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.