Why Use This Data Source In Your Models?
Civilian labor force by US state measures the number of persons 16 years of age or older, employed or unemployed, excluding military personnel, federal government employees, retirees, handicapped or discouraged workers, and agricultural workers. This indicates state populations and can influence employment or unemployment rates.
Civilian Labor Force by State
U.S. Bureau of Labor Statistics
Persons, Seasonally Adjusted
The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Yeo Johnson variable will also perform well.
Data is able to be distributed by time but not by geography. The roll up method used is Sum.
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.09 p-value = 0.10 indicates that the data is stationary.
The Shapiro-Wilk test returned W = 0.77 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -2.43 indicates the data are substantially skewed.
Hartigan's dip test score of 0.02 with a p-value of 0.96 inidcates the data is unimodal
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal and Trend Decompostion
The following states do not report for this feature: District of Columbia, Puerto Rico.
U.S. Bureau of Labor Statistics, Civilian Labor Force, retrieved from FRED, Federal Reserve Bank of St. Louis; https://www.bls.gov/news.release/laus.t01.htm January 27, 2020.
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