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Wyoming Labor Force Trends

March 2025 | Volume 62, No. 3


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Wyoming Unemployment Rises to 3.6% in January 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 from 3.5% in December to 3.6% in January. Wyoming has recently completed a comprehensive annual revision of its unemployment data. Wyoming’s unemployment rate is considerably higher than its January 2024 level of 2.8%, but lower than the January 2025 U.S. unemployment rate of 4.0%.

From December to January, most county unemployment rates followed their normal seasonal pattern and increased. Unemployment rates often rise in January as seasonal job losses occur in construction, retail trade, transportation & warehousing, and professional & business services. The largest unemployment rate increases were found in Niobrara (up from 4.5% to 6.1%), Crook (up from 3.1% to 4.1%), Fremont (up from 4.5% to 5.5%), and Sublette (up from 3.7% to 4.7%) counties. Teton County was the exception. Its unemployment rate fell from 3.0% to 2.7%.

From January 2024 to January 2025, unemployment rates rose in every county, suggesting that more individuals are available to fill job openings around the state. The largest unemployment rate increases occurred in Niobrara (up from 4.4% to 6.1%), Sublette (up from 3.4% to 4.7%), and Platte (up from 4.1% to 5.3%) counties.

The lowest unemployment rates in January were found in Teton County at 2.7%, Albany County at 3.7%, and Weston County at 3.9%. The highest unemployment rates were reported in Niobrara County at 6.1% and Fremont County at 5.5%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 285,300 in January 2024 to 289,300 in January 2025, an increase of 4,000 jobs (1.4%).

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.