The publication analyzes Latvijan business environment and construction situation and development prospects in the European Union. There are shown system dynamic type economically mathematical models of the business environment changes and the construction industry dynamics, including basic equation describing the models and indicators, shown the array of models and indicators, direct and feedback. Details are shown system dynamic models of two areas: 1) business environment and competitiveness development forecasting model and 2) construction industry and real estate development forecasting model. Business environment and competitiveness development forecasting model show segments of aggregate demand for goods and services (population, income and consumption, interdisciplinary consumption and export blocks) and show segments of business resources (employees, fixed assets, working capital and raw materials blocks). There are shown development of Latvijan business environment and its influencing factors. Modelled business profits as a key indicator of business competitiveness. The model forecast Latvijan business development key characteristics. Forecasting results obtained are described and evaluated in whole national economy and its sectoral development. Construction industry and real estate development forecasting model describes apartments, residential areas, property prices, housing needs and financing etc. blocks. There are compared Latvijan and EU construction industry dynamics, its growth and development influential factors, construction resources, residential housing status, household demand. Extensively discussed Latvijan construction company's financial indicators: liquidity, activity, capital structure, profitability, economic potential and solvency indicators. Given in the construction industry and real estate development forecasts, obtained by the model. The publication is intended for economic planning, construction and real estate market professionals, which dealing with the sectoral development and analysis of issues, businesses and professional associations, mathematical modelling, economic experts, master and doctoral courses students in economic and management.