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The states of Utah, Alaska and Wyoming have a market income Gini coefficient that is 10% lower than the average, while Washington D.C. and Puerto Rico are 10% higher. After-tax, the Federal Reserve estimated that 34 states in the US have a Gini index between 30 and 35, with Maine the lowest. [198]
Therefore, a lower Gini score is roughly associated with a more equal distribution of income and vice versa. In 2018 U.S. income inequality as measured by the Gini index was close to the highest recorded values ever. [15] [16] The information was tabulated in 2019 from data from the American Community Survey (ACS) conducted by the US Census Bureau.
The Italian statistician Corrado Gini developed the Gini coefficient and published it in his 1912 paper Variabilità e mutabilità (English: variability and mutability). [16] [17] Building on the work of American economist Max Lorenz, Gini proposed using the difference between the hypothetical straight line depicting perfect equality and the actual line depicting people's incomes as a measure ...
The Gini coefficient is a number between 0 and 1 or 100, where 0 represents perfect equality (everyone has the same income). Meanwhile, an index of 1 or 100 implies perfect inequality (one person has all the income, and everyone else has no income).
Gini: Higher Gini coefficients signify greater inequality in wealth distribution. A Gini coefficient of 0 reflects perfect wealth equality, where all wealth values are the same, while a Gini coefficient of 1 (or 100%) reflects maximal wealth inequality, a situation where a single individual has all the wealth while all others have none.
For example, the Gini coefficient for wealth inequality increased from 0.80 in 1983 to 0.84 in 1989. In the same year, 1989, the Gini coefficient for income was only 0.52. [56] The Gini coefficient is an economic tool on a scale from 0 to 1 that measures the level of inequality. 1 signifies perfect inequality and 0 represents perfect equality.
For example, in the chart at right, US income share of top earners was approximately constant from the mid-1950s to the mid-1980s, then increased from the mid-1980s through 2000s; this increased inequality was reflected in the Gini coefficient.
The Wealth Gini coefficients from 2008 are based on a working paper published by the National Bureau of Economic Research. [5] The Wealth Gini numbers for 2018, 2019, and 2021 come from the Global Wealth Databook by Credit Suisse. [6] [7] [8] * indicates "Wealth inequality in COUNTRY or TERRITORY" or "Income inequality in COUNTRY or TERRITORY ...