Income distribution is typically measured using various statistical tools and indicators. The options you provided (GDP, Nominal CPI, CPI, GDP per Capita) primarily pertain to overall economic indicators rather than direct measures of income distribution.
Here are some common measures used to evaluate income distribution:
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Gini Coefficient: A measure of inequality within a distribution, ranging from 0 (perfect equality) to 1 (perfect inequality).
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Lorenz Curve: A graphical representation of income distribution where the x-axis represents the cumulative share of the population and the y-axis represents the cumulative share of income.
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Quintile or Decile Ratios: These ratios compare the income of the top 20% (or 10%) of earners to the bottom 20% (or 10%).
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Poverty Rate: The percentage of the population that lives below the poverty line, which can indicate a broader view of income distribution.
Of the choices you provided, GDP per Capita can offer some insights into average income levels across a population, but it does not measure income distribution directly.
In summary, none of the provided options directly measure income distribution in the way that indices like the Gini coefficient or the Lorenz curve do.
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