Influence of the Standard of Living of the Population on Social and Economic Security (On the Example of Primorsky Krai)

The article studies the state of the standard of living indicators of the Primorsky Krai population and their impact on the indicators of socio-economic security. The analysis is carried out using the data and methodology of state statistics bodies used in statistical observations of the standard of living of the population; the Methodological Provisions for the calculation of monetary income and monetary expenses indicators approved by the State Statistics Committee. The dynamics of average per capita, real, and median monetary incomes of the Primorsky Krai, the Far Eastern Federal District, and Russia were compared; the composition and structure of monetary expenses and incomes, changes in savings of the Primorsky Krai population, the ratio of nominal and real wages and consumer price index in dynamics, the distribution of residents by the size of average per capita income, income inequality and differentiation, and poverty level were analyzed. It is concluded that the state of the standard of living is generally favorable, reflecting regional and national trends. There was an increase in nominal and real monetary income, the share of citizens with higher incomes increased, and the poverty rate was decreasing and was within the state target values. At the same time, there was instability in the indicators: real monetary income grew slower than nominal income and, in some periods, declined; the median income was lower than the average per capita income; and the growth of inflation in recent years has led to a significant gap between nominal and real wages. There is a significant gap between the incomes of the rich and the poor, inequality in income distribution. The correlation between the standard of living indicators and the indicator of economic security is analyzed. The model of pair correlation describing the dependence of the funds coefficient on the Gini coefficient was formed, which can be used in forecasting for the future to fulfill the tasks of minimizing the threats set in the Presidential Decrees.