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2020 · Society · Estonian Ministry of Finance

A Research Pilot for Shrinking Cities

When the Ministry of Finance started receiving unwanted, donated apartments in East Estonia, it triggered a search for a reliable way to actually measure building vacancy — solved here with an unlikely data source: electricity bills.

A Research Pilot for Shrinking Cities

In 2018, the Ministry of Finance began receiving dozens of unwanted apartments donated by their owners in East Estonia — a genuine surprise, given interest rates were low and national housing prices were rising 5.7% year-on-year. The debate on shrinking cities was already open, but this was the turning point that opened a new line of investigation into the relationship between demographic decline and the built environment.

A year after that surprise, SPIN Unit and TalTech launched a research pilot for the Ministry of Finance in Ida-Viru county, aiming to design a methodology for mapping shrinkage and assessing its risk to socio-economic development. The core challenge: finding a reliable data source to understand vacancy at the individual building level.

The team tested all available data sources and ultimately produced a method for turning electricity consumption data into a meaningful proxy for building-level vacancy rates — cross-validated against population register, building registry, business registry, and debt records. The findings also fed into a landscape/townscape analysis guide and municipality-specific adaptation strategies for Lüganuse and Kohtla-Järve.

Delivered as a set of Estonian-language technical guidelines and case-study review documents in early 2021, alongside municipality-specific strategy decks.

3 reports to download
About the project
ClientEstonian Ministry of Finance
PlaceIda-Viru County (Kiviõli, Püssi, Kohtla-Järve), Estonia
Year2020
LensSociety
TopicsData Proxy, Housing Policy, Shrinking Cities
What we found
Building vacancy reached an alarming 25% in the pilot area, with vacant buildings clustering geographically rather than being evenly spread.
Areas with rising vacancy were disproportionately historic housing stock with cultural and architectural significance — tying demographic decline directly to heritage risk.
The electricity-consumption proxy method proved robust enough to later scale from two municipalities to a full national dataset in 2022 — the first time flat-level electricity data was gathered nationwide in Estonia.
Vacancy concentrated in specific Soviet-era apartment-block typologies, visible clearly once electricity data was mapped by building type and district.
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