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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 United States has the highest level of income inequality in the Western world, according to a 2018 study by the United Nations Special Rapporteur on extreme poverty and human rights. The United States has forty million people living in poverty, and more than half of these people live in "extreme" or "absolute" poverty.
The majority of European countries have a Gini coefficient between 0.3 and 0.4. These countries, such as Switzerland, Italy, France, and United Kingdom, are situated in the middle of the Great Gatsby Curve. [18] Surprisingly, the United States of America, which is perceived as the country of equal opportunities, is located in the middle of the ...
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. For example, in 2007 the top decile (10%) of US earners accounted for 49.7% of total wages (times ...
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 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).
In another example, The Economist propounds that a swelling corporate financial and banking sector has caused Gini Coefficients to rise in the U.S. since 1980: "Financial services' share of GDP in America doubled to 8% between 1980 and 2000; over the same period their profits rose from about 10% to 35% of total corporate profits, before ...
The concept of inequality is distinct from that of poverty [5] and fairness. Income inequality metrics (or income distribution metrics) are used by social scientists to measure the distribution of income, and economic inequality among the participants in a particular economy, such as that of a specific country or of the world in general.