The purpose of the article is to study the trends and prospects of mortgage development in Ukraine during the war. Today, it is necessary to make available the possibility of purchasing real estate for the population instead of lost housing. To achieve this goal, the authors used statistical data for the spring and summer of 2023 regarding the rent and cost of apartments in the city of Kharkiv. The authors processed information from open sources. The authors solved the task defined in the article with the help of analysis using Excel software. This made it possible to significantly increase the speed of data processing, which is extremely important when working with large volumes of information. The analysis of the existing information was carried out in the work using the geostatistical method to transform data from a discrete to a continuous representation. In the article, the authors draw conclusions from the analysis of a large array of data on apartment rentals and their value in the secondary housing market. For a more convenient presentation of data and their analysis, the conclusions were presented in graphic form. The results obtained in the study will allow, if necessary, to calculate the profitability of real estate when buying it in one or another area of the city. The relevance of the article is to demonstrate the possibilities of using information analysis for real estate research in a single city and the Ukrainian real estate market.
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