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Quintile measures of inequality satisfy the transfer principle only in its weak form because any changes in income distribution outside the relevant quintiles are not picked up by this measures; only the distribution of income between the very rich and the very poor matters while inequality in the middle plays no role.
According to a 2004 analysis of income quintile data by The Heritage Foundation, inequality is less after adjusting for household size. Aggregate share of income held by the upper quintile (the top earning 20 percent) decreases by 20.3% when figures are adjusted to reflect household size. [261]
The Elephant Curve, also known as the Lakner-Milanovic graph or the global growth incidence curve, is a graph that illustrates the unequal distribution of income growth for individuals belonging to different income groups. [1] The original graph was published in 2013 and illustrates the change in income growth that occurred from 1988 to 2008.
In 2016, average market income was $15,600 for the lowest quintile and $280,300 for the highest quintile. The degree of inequality accelerated within the top quintile, with the top 1% at $1.8 million, approximately 30 times the $59,300 income of the middle quintile. [45]
This is a stark contrast to the growth in income of their male counterparts. The employment rate of women in their 30s has increased from 39% in 1964 to 70% in 2004. [21] This sharp increase in income for working women, in addition to stable male salaries, is the reason upward economic mobility is attributed to women.
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Median household income (simplest measure of relative and absolute in income distribution) Income quintiles (from the top 20% on down for the U.S.) Household income in the United States; Personal income in the United States; Economic inequality (worldwide overview; causes, effects, normative perspectives) Income inequality metrics; Gini coefficient