The subject of the final thesis is a comparative analysis of models of state programs for housing care. Two of the most significant housing care models were selected, namely the Incentive Housing Construction Program POS and the Housing Loan Subsidy Program. The paper observes and analyzes the reports of the State Bureau of Statistics, the Ministry of Spatial Planning, Construction and State Property, as well as the data of the Agency for Legal Promotion and Real Estate Brokerage, in order to come to the conclusion of how much the mentioned programs started the real estate market and how many young families got to own real estate through them. The study of the collected data is carried out through the analysis of data in time sequence and comparative analysis based on the correlation coefficient. This work includes data in the range from 2017 to 2022, and through their analysis trends in future trends in the values of the observed variables can be recognized. The variables included in this analysis and processing are the gross domestic product (GDP), the average prices of new apartments sold both on the free market and through the program of socially incentivized housing (POS), and the amount of funds spent by the state in the program of subsidized housing loans. After the individual analyzes of the data viewed in time sequence, a comparative analysis is carried out. The comparative analysis determines the correlation between the average prices of new apartments sold and the economic impact of the Incentive Housing Program, as well as the correlation between state housing programs and GDP. Through their interrelationships, we will try to establish which program obtained better results.