"Labor Market Information (LMI) is an applied science; it is the systematic collection and analysis of data which describes and predicts the relationship between labor demand and supply." The States' Labor Market Information Review, ICESA, 1995, p. 7.
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 from 3.1% in June to 3.0% in July. Wyoming’s unemployment rate is lower than its July 2022 level of 3.5% and lower than the current U.S. rate of 3.5%. From June to July, seasonally adjusted employment of Wyoming residents rose by 616 people (0.2%).
From June to July, most county unemployment rates followed their normal seasonal pattern and decreased. July usually marks the peak of the tourist season with large job gains in leisure & hospitality. Employment also typically rises in the construction sector. The largest decreases in unemployment occurred in Uinta (down from 3.5% to 3.1%), Lincoln (down from 2.9% to 2.5%), Sublette (down from 3.3% to 3.0%), Sheridan (down from 2.7% to 2.4%), Crook (down from 2.4% to 2.1%), and Albany (down from 3.1% to 2.8%) counties. Platte County was the exception. Its unemployment rate rose slightly from 2.6% in June to 2.9% in July.
County jobless rates were lower than their year-ago levels in every area of the state. The largest decreases were seen in Niobrara (down from 2.7% to 1.8%), Campbell (down from 3.5% to 2.6%), Big Horn (down from 3.8% to 3.0%), and Sheridan (down from 3.1% to 2.4%) counties.
Fremont County and Sweetwater County reported the highest unemployment rates in July (both at 3.5%). The lowest rates were seen in Teton County at 1.5% and Niobrara County at 1.8%.
Total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 291,100 in July 2022 to 298,600 in July 2023, an increase of 7,500 jobs (2.6%).
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.
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