Based on the Land Board’s real estate transaction data, it is possible to analyze relationships between real estate prices and various other factors, such as the ethnic composition of residents, crime levels, public transport connections, and access to schools, workplaces, shops, and other institutions and services.

In the real estate transaction statistics web environment, two types of queries can be made: general transaction statistics and price statistics.
The general transaction statistics query allows data extraction by transaction types, sellers, buyers, land use purposes, property parts, months, object types, and counties, as well as by the residency of sellers and buyers.
The price statistics query enables data extraction for transactions involving forest land, arable land, built-up land, vacant land, and apartment ownership. For residential land with residential buildings, data can also be extracted by building type, load-bearing structure, and year of first use; for apartment ownership, by load-bearing structure and year of first use.

Real estate transaction statistics are based on the transaction database. Transaction data are submitted by notaries, who are required to submit a transaction certificate to the cadastral registrar within ten days after the transaction is authenticated. The oldest data in the transaction database date back to 1996. From the real estate transaction statistics web environment, data tables can be downloaded in Excel (XLSX) format.

Use of data

Contact

Estonian Land and Spatial Development Board

Estonian Land and Spatial Development Board

info@maaruum.ee

https://maaruum.ee/

EU Fund
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Infotechnological Mobility Observatory

The research was conducted using the research infrastructure “Infotechnological Mobility Observatory” funded by the Estonian Research Council (TARISTU24-TK18)

Beneficiary: University of Tartu

Partners: Tallinn University of Technology, Tallinn University, Statistics Estonia

Period: 2014 - 2029

Brief description: Growing spatial mobility is one of the important changes in modern society, which is related to the topics of external and internal migration, urbanization, entrepreneurship, inequality and regional development. Up-to-date and high-quality data are needed to study spatial mobility. The goal of IMO is to develop an innovative data infrastructure supporting mobility research, integrating geographically and longitudinally diverse national statistics and innovative IT data sources.