Features of investment in the Ukrainian real estate market. Geo-information approach
Abstract
This article addresses the urgent issue of investment in Ukraine’s real estate market. It proposes the use of geographic information systems (GIS) for the collection, processing, and continuous updating of real estate data. The relevance of the study lies in the application of geodatabases for analyzing large volumes of property-related information. The research focuses on the residential real estate market in Ukraine, with particular attention to state mortgage programs. The main objective is to develop a stakeholder action sequence for real estate investment through mortgage financing and to study the dynamics of property value changes across Ukraine. The study employs general scientific methods of systems analysis and geostatistical techniques to transform data from discrete to continuous forms for large-scale analysis. The research aims to conduct a GIS-based study of the real estate market across all regions of Ukraine over the past four years. It analyzes the dynamics of apartment prices in the housing sector and visualizes the relationship between stakeholder profit and mortgage term within the framework of the “YeOselya” state mortgage program. Special attention is given to the formation of stakeholder profit through mortgage schemes by leveraging the difference between rental income and mortgage payments. The analysis reveals that key economic indicators – such as core inflation index, Hryvnia depreciation against the US dollar, and the growth of minimum wages in Ukraine – significantly affect overall profitability. The authors propose a sequence of stakeholder actions for identifying investment opportunities, whether via mortgage financing or personal funds, aimed at maximizing returns. The study concludes with an assessment of the relationship between profit and payback period under various economic conditions and presents several investment scenarios in the real estate sector, including those supported by the «YeOselya» program.
Downloads
References
Tolub, N. (2023). In 2024, mortgage rates may drop to “pre-war” levels. Retrieved from https://kyivschina24.com/neruhomist/u-2024-roczi-stavki-na-ipoteku-mozhut-znizitisya-do-dovoєnnogo-rivnya/ (in Ukrainian)
Pomortseva, О., Kobzan, S., Nesterenko, S., & Nekrasov, Y. (2023) Development of mortgage in the real estate market. The impact of the war in Ukraine. International Conference of Young Professionals «GeoTerrace – 2023» 2-4 October 2023, Lviv, Ukraine. Retrieved from https://openreviewhub.org/geoterrace/paper-2023/development-mortgage-real-estate-market-impact-war-ukraine
Pomortseva, О., Kobzan, S., Shapochkin, O., & Panteleeva, N. (2023). Real estate market research in Ukraine. New trends in 2023. International Conference of Young Professionals “GeoTerrace – 2023” 2-4 October 2023, Lviv, Ukraine. Retrieved from https://openreviewhub.org/geoterrace/paper-2023/real-estate-market-research-ukraine-new-trends-2023
Pomortseva, О., Kobzan, S., Pankiv, V. & Кіn, D. (2024). Research into the dynamics of changes in real estate values using geographic information systems. Spatial development, 8, 463–476. https://doi.org/10.32347/2786-7269.2024.8.463-476 (in Ukrainian)
Pavlov, K. (2024). The residential real estate market of Ukraine in wartime. Current problems of science, education and society: world trends and regional aspect. I International scientific and practical conference of NGO "IEEED", Lutsk, March 20, 2024. Lutsk: FOP Mazhula Yu.M., 97-106. (in Ukrainian)
Shalaev, V. M., Ivanova, I. B., Drapikovsky, O. I. (2012). Trends in the Real Estate Market of Ukraine: Realities and Forecasts, 2007 – 2013. Monograph. K: Art Economy. (in Ukrainian)
Voronin, V. (2024). The cost of real estate in conditions of inflation and devaluation. Retrieved from https://afo.com.ua/uk/news/2/858 (in Ukrainian)
Voronin, V. O., Lyantse, E. V., Mamchyn, M. M. (2014). Real estate market analytics: methodology and principles of modern assessment. Monograph. Lviv: Magnolia. (in Ukrainian)
Kobzan, S., Pomortseva, О. (2023). Real Estate Market of Ukraine. Practical Aspects and Trends. SpringerBriefs in Geography, 146. https://doi.org/10.1007/978-3-031-31248-9
Anelli, D., Tajani, F. (2023). Spatial decision support systems for effective ex-ante risk evaluation: An innovative model for improving the real estate redevelopment processes. Land Use Policy, 128. https://doi.org/10.1016/j.landusepol.2023.106595
Gholipour, H. F., Tajaddini, R., & Pham, T. N. T. (2020). Real estate market transparency and default on mortgages. Research in International Business and Finance, 53. https://doi.org/10.1016/j.ribaf.2020.101202
Mahmoody Vanolya, N., Jelokhani-Niaraki, M., Toomanian, A. (2019). Validation of spatial multicriteria decision analysis results using public participation GIS. Applied Geography, 112. https://doi.org/10.1016/j.apgeog.2019.102061
Guo, H., Li, H., Shen, Q., Wang, Y., & Li, Y. (2007). Real estate confidence index based on Web GIS and SPSS WebAPP. International Journal of Project Management, 25 (2), 171-177. https://doi.org/10.1016/j.ijproman.2006.09.015
Li, M., Bao, Z., Sellis, T., Yan, S., Zhang, R. (2018). HomeSeeker: A visual analytics system of real estate data. Journal of Visual Languages & Computing, 45, 1-16. https://doi.org/10.1016/j.jvlc.2018.02.001
Uvekon» geoportal. (2024). Retrieved from https://www.uvecon.ua/ua/geoportal.html
«Dom RYA». (2024). Retrieved from https://dom.ria.com/uk/
Rotberg, S., Steinberg, J. B. (2024). Mortgage interest deductions? Not a bad idea after all. Journal of Monetary Economics, 144. https://doi.org/10.1016/j.jmoneco.2024.01.004
Lapishko, M.L., Gokhberg, I.I. (2013). Peculiarities of determining the capitalization rate for the valuation of commercial real estate in an inactive market. Financial and credit activity problems of theory and practice. 1.14, 124-131. (in Ukrainian)
«LUN» Real estate statistics. (2024). Retrieved from https://misto.lun.ua/stat/kyiv
Kobzan, S., Pomortseva, О. (2021). Construction and real estate market. Problems and trends. International scientific and practical conference «An integrated approach to science modernization: methods, models and multidisciplinarity», Vinnytsia, UKR – Vienna, AUT – GRAIL OF SCIENCE, 1, 497-504. https://doi.org/10.36074/grail-of-science.19.02.2021.107 (in Ukrainian)
Pomortseva, О., Kobzan, S., Pankiv, V. (2024). Research into the secondary real estate market regarding capitalization rates and payback periods. VI International Scientific and Practical Conference «Еducation and science of today: intersectoral issues and development of sciences» 298-306. https://doi.org/10.36074/logos-29.03.2024.064 (in Ukrainian)
Şahin, O., Gokasar, I. (2024). A Novel Perspective On The Analysis Of Residential Property Prices Near Transportation Investments: Wide-Range Vs Narrow-Range Factors. Computer and Decision Making: An International Journal, 1, 103-120. https://doi.org/10.59543/comdem.v1i.10235
Ministry of Finance. (2024). Retrieved from https://minfin.com.ua/
EY Ukraine (2023). Real estate market research. Retrieved from https://www.ey.com/uk_ua/news/ey-ukraine-in-media/doslidzhennya-rynku-nerukhomosti-pid-chas-viyny-vid-ey (in Ukrainian)
Copyright (c) 2025 Merkulova T., Pomortseva О., Kobzan S., Pankiv V.

This work is licensed under a Creative Commons Attribution 4.0 International License.