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In economics, the Gini coefficient (/ ˈ dʒ iː n i / JEE-nee), also known as the Gini index or Gini ratio, is a measure of statistical dispersion intended to represent the income inequality, the wealth inequality, or the consumption inequality [2] within a nation or a social group. It was developed by Italian statistician and sociologist ...
The Gini coefficient is a number between 0 and 1 or 100, where 0 represents perfect equality (everyone has the same income), while an index of 1 or 100 implies perfect inequality (one person has all the income and everyone else has no income).
The range of the Gini index is between 0 and 1 (0% and 100%), where 0 indicates perfect equality and 1 (100%) indicates maximum inequality. The Gini index is the most frequently used inequality index. The reason for its popularity is that it is easy to understand how to compute the Gini index as a ratio of two areas in Lorenz curve diagrams ...
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. [199] At the county and municipality levels, the 2010 ...
A score of "0" on the Gini coefficient represents complete equality, i.e. every person has the same income. A score of 1 would represent the case in which one person would have all the income and others would have none. Therefore, a lower Gini score is roughly associated with a more equal distribution of income and vice versa.
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 ...
Economic inequality is an umbrella term for a) income inequality or distribution of income (how the total sum of money paid to people is distributed among them), b) wealth inequality or distribution of wealth (how the total sum of wealth owned by people is distributed among the owners), and c) consumption inequality (how the total sum of money spent by people is distributed among the spenders).
Strong associations were also found between the index and causes of death amenable to medical intervention. The Gini coefficient showed very little correlation with any of the causes of death. [1] The Gini, like the Theil (below), is an impartial measure of inequality over the entire population.