"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.
Local Area Unemployment Statistics:
Monthly Estimates of Civilian Labor Force, Employment, and Unemployment for:
For the latest estimates of Civilian Labor Force and Unemployment for Wyoming, please see the current news release.
For additional information as well as data for other states, see the Bureau of Labor Statistics LAUS homepage.
Brief Explanation of the LAUS methodology (posted on 05/15/2017)
The statewide unemployment rate is estimated primarily based on the Current Population Survey, which is a household survey conducted by the U.S. Census Bureau for the Bureau of Labor Statistics. There are approximately 1,100 households in Wyoming in the sample each month. Based on answers to the survey questions, individuals 16 and over are classified as employed, unemployed, or not in the labor force.
The county unemployment rates are estimated independently. One of the largest inputs to the county models is continued claims for unemployment insurance (UI). County unemployment estimates are then forced to match the statewide estimate described above.
For further information on how unemployment rates are estimated, please see https://stats.bls.gov/lau/laumthd.htm.
NOTE: Because of changes in the estimation methodology, there is a break in the data set between 2009 and 2010. Therefore, pre-2010 data are not comparable to data from 2010 to present. Information on methodological changes is available at https://www.bls.gov/lau/lauschanges2015.htm.
NOTE: Because of changes in the estimation methodology, there is a break in the data set between 1999 and 2000. Therefore, pre-2000 data are not comparable to data from 2000 to 2009.
NOTE: Because of changes in the estimation methodology, there is a break in the data set between 1989 and 1990. Therefore, pre-1990 data are not comparable to data from 1990 to 1999.