Perhaps the most common measure of income inequality in a nation is the Gini Coefficient (aka the "Gini Ratio"), which ranks the amount of inequality there is in a country on a scale from 0, which represents perfect equality, where everyone would have an equal share of the nation's income, to a value of 1, which represents perfect inequality, where one person would have all the income, but everyone else has none.
So now, thanks to so much media attention being focused on the Occupy Wall Street "movement" (aka "politically-oriented publicity stunt"), where many activists (aka "not-too-bright people") appear to be upset at "the Top 1%" (aka "really high income earners"), who they claim have "gotten too rich" (aka "earned a high income by doing things that satisfy other people's needs"), we thought we'd use the "Gini coefficient" (aka "a well-established mathematically-based method for measuring inequality") to find out how out of whack things have become in the United States over the years.
Or more specifically, the years from 1994 through 2010, for which the U.S. Census has published detailed data related to the incomes earned by Americans based on their annual surveys of the U.S. population. Our chart showing the trend in income inequality for all individuals as measured by the Gini ratio for these years is below:
We only ask that someone ask the media for their reaction to this disturbing data!
Political Calculations is a site that develops, applies and presents both established and cutting edge theory to the topics of investing, business and economics.
Be the first to read Political Calculation's column. Sign up today and receive Townhall.com delivered each morning to your inbox.
NEW TIME Today, at 9:30 AM PT: Get the Market Movements in Advance: William's Edge Webinar for January 30th, 2014 | John Ransom
NEW TIME Today, at 9:30 AM PT: Get the Market Movements in Advance; Williams Edge Webinar for January 28th 2014 | John Ransom
NEW TIME Today, at 9:30 AM PT: Get the Market Movements in Advance; Williams Edge Webinar for January 26th, 2014 | John Ransom