The issue of providing the population with affordable housing is one of the most pressing social concerns. Each region necessitates a distinct approach. The purpose of this article is to identify the factors that influence a housing affordability level in the region, analyze the impact mechanisms inherent in them, and assess the quantitative impact of these factors on the housing affordability index. The following factors have a direct impact on housing affordability: the rate of inflation, the population size, the cost of housing, the loan interest rate, the rate of housing construction, the investment scale, the income level of the population, and the economic system's overall development level. The quantitative assessment of the cumulative impact of these factors on the level of housing affordability is based on building a regression model describing how the housing affordability index in the region depends on multiple factors and assessing its reliability. The simulation model confirmed that the supply, demand, and housing market conditions have the greatest impact on housing affordability in the region.

The assessment of the financial viability of the contractor is of particular interest. However, many of existing criteria which are used for analyzing the economic performance of an enterprise are criticized, as the generalized indicators may provide an accurate estimation only for a definite country, or period. Elaboration of a generalized indicator is related to the following tasks: selecting analytical coefficients, determining the structure and parameters of the generalized indicator, and calculating the critical value. The approach used in this paper implies using all known analytical indicators for solving the first task. These relative indicators are then compared with absolute indicators, namely, balance indicators. In the present work this is done with correlation analysis. When determining the structure and parameters, as well as when calculating the critical value of the complex criteria, we used discriminant analysis. A sample of enterprises of the construction complex was considered as objects. The complex criterion for evaluating contractor’s activities can be used both for internal analysis and by external users: banks, investors, and counteragents.