World Development Indicators
Index, Not Seasonally Adjusted
The GINI Index measures economic equality in the US. This is useful for descibing how GDP, income, and wealth may vary across the population.
The data shows seasonality. The data should be adjusted. While the Order Norm 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.
GINI Index, Total US
Auto Correction Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Data does not show strong autocorrectation 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 -0.46
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.03 p-value = 0.10 indicates that the data is stationary.
The Shapiro-Wilk test returned W = 0.58 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 1.04 indicates the data are substantially skewed.
Hartigan's dip test score of 0.12 with a p-value of 0.00 inidcates the data is multimodal
Statistics (Pearson P/ df, lower => more normal)
2020 data is not currently available.
World Bank, GINI Index for the United States [SIPOVGINIUSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SIPOVGINIUSA, December 19, 2019.