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Wyoming Labor Force Trends

July 2025 | Volume 62, No. 7


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Wyoming Unemployment Unchanged at 3.3% in May 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 April to May at 3.3%. Wyoming’s unemployment rate was slightly higher than its May 2024 level of 3.1%, but much lower than the current U.S. unemployment rate of 4.2%.

From April to May, most county unemployment rates rose slightly. It is somewhat unusual for county unemployment rates to increase in May. The largest increases occurred in Niobrara (up from 3.0% to 3.6%), Converse (up from 2.7% to 3.1%), Goshen (up from 2.8% to 3.2%), Johnson (up from 2.2% to 2.6%), and Weston (up from 2.7% to 3.1%) counties. Park County’s unemployment rate fell from 3.2% to 3.1%, and unemployment rates remained unchanged in Washakie (3.3%), Fremont (3.6%), Carbon (3.5%), and Big Horn (3.9%) counties.

From May 2024 to May 2025, nearly all county unemployment rates increased. The largest increases were reported in Niobrara (up from 2.7% to 3.6%), Platte (up from 3.1% to 3.8%), Hot Springs (up from 2.6% to 3.2%), and Washakie (up from 2.7% to 3.3%) counties. Johnson County’s unemployment rate fell from 2.7% to 2.6%.

In May, the lowest unemployment rates were found in Johnson, Crook, and Albany counties, each at 2.6%. The highest unemployment rates were reported in Big Horn County at 3.9%, Platte County at 3.8%, Fremont County at 3.6%, and Niobrara County at 3.6%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 295,600 in May 2024 to 297,900 in May 2025, an increase of 2,300 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.