New Private Housing Units
Why Use This Data Source In Your Models?
New private housing units authorized by building permits provides a general indication of the amount of new housing stock that may have been added to the housing inventory. Since not all permits become actual housing starts and starts lag the permit stage of construction, these numbers do not represent total new construction, but should provide a general indicator.
New Private Housing Units
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Census Bureau
Release:
Housing & Urban Development
Units:
Units, Seasonally Adjusted
Frequency:
Monthly
Available Through:
03/31/2025
Suggested Treatment:
The data shows seasonality. The data should be adjusted. While the Order Norm transformation, provides the best normality, the Boxcox 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 does not show strong auto correlation indicating no need for differencing
The ACF indicates 0 order differencing is appropriate.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.21
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.11 p-value = 0.10 indicates that the data is stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.60 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 4.42 indicates the data are substantially skewed.
Hartigan's dip test score of 0.02 with a p-value of 0.97 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, Nebraska, Wisconsin, Puerto Rico.
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