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Wyoming Labor Force Trends

July 2026 | Volume 63, No. 7


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Wyoming Unemployment Rate Falls to 3.4% in May 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 fell slightly from 3.5% in April to 3.4% in May. Wyoming’s unemployment rate remains much lower than the current U.S. rate of 4.3%.

Most county unemployment rates followed their normal seasonal pattern and fell from April to May. Unemployment rates usually decrease in May as the warmer days of late spring bring seasonal job gains in leisure & hospitality, government, construction, professional & business services, and retail trade. The largest unemployment rate decreases occurred in Teton (down from 4.1% to 2.6%), Niobrara (down from 4.6% to 3.6%), Park (down from 3.4% to 2.7%), and Sublette (down from 3.5% to 2.9%) counties.

From May 2025 to May 2026, jobless rates fell in nearly every county. The largest decreases were seen in Weston (down from 3.2% to 2.5%), Uinta (down from 3.4% to 2.7%), Sheridan (down from 3.1% to 2.5%), and Carbon (down from 3.4% to 2.8%) counties. Unemployment rates remained unchanged from their year-ago levels in Niobrara (3.6%) and Sweetwater (3.5%) counties.

In May, the highest unemployment rates were found in Niobrara County at 3.6%, Sweetwater County at 3.5%, and Big Horn County at 3.4%. The lowest rates were reported in Crook and Albany counties, both at 2.3%, and Johnson County at 2.4%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 296,600 in May 2025 to 297,700 in May 2026, an increase of 1,100 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.