Civilian Labor Force Participation Rate, Total US
Why Use This Data Source In Your Models?
The labor force participation rate is the sum of all workers who are employed or actively seeking employment divided by the total noninstitutionalized, civilian working-age population in the US. This is indicative of unemployment rates and recent unemployment claims, recessions, and overall economic health.
Civilian Labor Force Participation Rate, Total US
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Bureau of Labor Statistics
Release:
Employment Situation
Units:
Percent, Not Seasonally Adjusted
Frequency:
Monthly
Available Through:
04/30/2025
Suggested Treatment:
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 Boxcox variable will also perform well.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
Auto Correlation Analysis:
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.12 p-value = 0.10 indicates that the data is stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.96 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -0.73 indicates the data are moderately skewed.
Hartigan's dip test score of 0.05 with a p-value of 0.04 inidcates the data is multimodal
Statistics (Pearson P/ df, lower => more normal)
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal Impact
Seasonal and Trend Decompostion
Citation:
U.S. Bureau of Labor Statistics, Civilian Labor Force Participation Rate [LNU01300000], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LNU01300000, December 18, 2019.
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