Civilian Labor Force - Less than a High School Diploma, 16 to 17 years, Men
Why Use This Data Source In Your Models?
Civilian Labor Force - Less than a High School Diploma, 16 to 17 years, Men
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
Board of Governors of the Federal Reserve
Release:
Current Population Survey
Units:
Thousands of Persons
Frequency:
Monthly
Available Through:
06/30/2025
Suggested Treatment:
The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Order Norm transformation, provides the best normality, the Arcsin variable will also perform well.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Sum.
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 = 0.10 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 0.62 indicates the data are moderately skewed.
Hartigan's dip test score of 0.03 with a p-value of 0.64 inidcates the data is unimodal
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:
https://fred.stlouisfed.org/seriesBeta/LHSDLM1617