Methods of measuring inequality in population incomes

The article proposes to expand the number of indicators characterizing inequality of population by the level of average monetary per capita income (AMPCI). The Gini index does not contain quantitative estimations of the incomes of different population groups. The funds ratio does not reflect the full picture of the existing inequality. Therefore, the author proposes economically based indicators of monetary income in equality called polarization indices. Using different characteristics of the lognormal distribution of population by monetary per capita income - average per capita income, mode and median - as the boundaries dividing the total population into two groups with the incomes above and below the set lines, the author calculates and compares estimates of the average per capita monetary incomes in these population groups. It has been found that the values of polarization indices depend only on the values of the normalized Laplace functions, the arguments of which are various shares of the standard deviation of income logarithm.