New Private Housing Units Started - Not Seas Adj
Why Use This Data Source In Your Models?
New privately owned housing units started indicates the amount of new housing stock added to the housing inventory. This is indicative of total new construction, and provides a general indicator on construction activity and the real estate market in the US.
New Private Housing Units Started - Not Seas Adj
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Census Bureau
Release:
Housing & Urban Development
Units:
Thousands of Units, Seasonally Adjusted
Frequency:
Monthly
Available Through:
11/30/2024
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 Square Root 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 -0.12
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.08 p-value = 0.10 indicates that the data is stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.99 with a p-value =0.45 indicating the data follows a normal distribution.
A skewness score of 0.13 indicates the data are fairly symmetrical.
Hartigan's dip test score of 0.02 with a p-value of 0.87 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:
U.S. Census Bureau and U.S. Department of Housing and Urban Development, Housing Starts: Total: New Privately Owned Housing Units Started [HOUST], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HOUST, December 15, 2019.
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