Why Use This Data Source In Your Models?
Rental vacancy rate measures the rate at which rental homes are vacant in each US state. This is indicative of overall economic health as well as desire to rent in the state.
Rental Vacancy Rate by State
Residential Vacancies / Homeownership Stats
Rentail Vacancy Rate
Percent, Not Seasonally Adjusted
The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Yeo Johnson transformation, provides the best normality, the Arcsin variable will also perform well.
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.32 p-value = 0.01 indicates that the data is not stationary.
The Shapiro-Wilk test returned W = 0.91 with a p-value =0.01 indicating the data does not follow a normal distribution.
A skewness score of 1.00 indicates the data are moderately skewed.
Hartigan's dip test score of 0.06 with a p-value of 0.37 inidcates the data is unimodal
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
The following states do not report for this feature: District of Columbia, Puerto Rico. Additionally, 2020 data is not currently available.
U.S. Census Bureau, Rental Vacancy Rate, retrieved from FRED, Federal Reserve Bank of St. Louis; January 27, 2020.
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