Tracking Income Equity: Use of the Gini Index 2006-2014

With the ACS, income inequity can now been seen longitudinally. The main measure of income inequality available through the census is the use of the Gini Index. The Gini Index is a summary measure of income inequality. As an index, it only has a value of between 0 and 1. A value of "0" would mean that every household had the same exact income; a value of "1" would mean that income was concentrated solely in a single household.

The index does NOT speak about the absolute levels of income - in other words, it doesn't measure how much income exists in a household. It measures the relative distribution of income across all households in an area. So when one area has a higher Gini index than another, nothing can be said about the income levels between the areas. Rather, it would tell you about the distribution of incomes within both areas.

That being understood, what are the regional, state and nation Gini levels over the last decade or so? The chart below shows them for the period 2006 to 2014. To enlarge it, click on the graph.

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Note a few things:

• Each of the three lines show an increase in income disparity - the higher the Gini index number, the less "evenly" that income is spread among households.
• There is more fluctuation in the Gini index numbers for the regional and state data than the national data - this has to do with the number of households in each area. Fewer households (or a smaller sample size) results in more variability.
• Despite this variability, the Gini index for all three levels of data (nation, state and region) vary significantly from each other (for example in 2014 the state has the a significantly higher Gini index than the nation, which has a significantly higher Gini index score than the region) and over time within each geography (for the region, the Gini score in 2014 is significantly higher than the score from 2006).

Given a basic look at the trends,  regional income inequity has grown at a rate of more than twice that of the state and one and a half times that of the nation. Don't forget, however, that our overall income inequity score is significantly lower than either the state or nation.

Census Releases Income Disparity Report for Counties in US

The Census Bureau released a report yesterday on Household Income Disparity in US Counties which shows how each county in the US ranks on the Gini Index. The Gini Index is a summary measure of income inequality. As an index, it only has a value of between 0 and 1. A value of "0" would mean that every household had the same exact income; a value of "1" would mean that income was concentrated solely in a single household.

Nationally the value ranges from .645 in East Carroll Parish in Louisiana, to .207 in Loving County in Texas. This would mean that the place where the MOST DISPARITY or inequality of income exists is in East Carroll, LA and the county where the MOST EQUITY exists is in Loving County, TX. The map below shows the entire country spatially on the Gini Index.

So how do we fair regionally ? Well in Herkimer and Oneida Counties the Gini Index is .411 and .432, respectively. In essence we are pretty much in the middle of the range of inequity. Below are some income data for both counties based on the same data as the Census study - the 2006-2010 ACS data.