Unemployment Claims by State
Why Use This Data Source In Your Models?
Initial claims by state measures the number of unemployment claims filed per week in each US state. This is indicative of overall economic health, availability of jobs, and economic resessions/depressions.
Unemployment Claims by State
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Employment and Training Administration
Release:
Initial Unemployment Claims
Units:
Number, Not Seasonally Adjusted
Frequency:
Weekly, Ending Saturday
Available Through:
05/09/2025
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 Yeo Johnson variable will also perform well.
Grain Transformation:
Data is able to be distributed by time and 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.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.06
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.20 p-value = 0.02 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.37 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 6.79 indicates the data are substantially skewed.
Hartigan's dip test score of 0.01 with a p-value of 0.99 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
Data Notes:
The following states do not report for this feature: District of Columbia, Puerto Rico.
Citation:
Varies
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