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U.S. income distribution of individual earnings 1990-2010, by Gini-coefficient

 

U.S. income distribution of individual earnings for full-time, year-round workers from 1990 to 2010 (by Gini-coefficient)

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United States; US Census Bureau Source: US Census Bureau


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This statistic shows the Gini coefficient, an index for measuring income distribution, for individual earnings for full-time, year-round workers in the U.S. from 1990 to 2010. A Gini coefficient of 0 expresses perfect equality, where all would have the same income,a Gini coefficient of 1 expresses maximal inequality among values. In 2010, the Gini coefficient for individual income was 0.4. This is an increase since the Gini coefficient 1990 of 0.36 points, indicating an increase of income inequality in the United States.

Statistic Information
 
close Markets and sectors
Society , Demographics
Survey
Survey time period 1990 to 2010
Object of investigation Income distribution of individual earnings by Gini-coefficient
Region United States
Macroregion North-America only
Type time series
Category other
Relevance 3
Release
Published by US Census Bureau
Release date December 2011
Further information * The Gini coefficient measures the inequality among values of a frequency distribution (for example levels of income). A Gini coefficient of zero expresses perfect equality where all values are the same (for example, where everyone has an exactly equal income). A Gini coefficient of one (100 on the percentile scale) expresses maximal inequality among values (for example where only one person has all the income).
Data have been rounded to provide better understanding of the statistic.
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