Transaction statistics
Maa- ja Ruumiamet median price per m² by municipality and floor-area band, from the last 18 months of sales.
Methodology
How we compute property intelligence from open data.
Overview
HindaAI combines official registers, open datasets, and derived enrichment layers to compute property intelligence for residential and commercial addresses in Estonia. The platform transforms public source data into practical signals through transparent statistical scoring models.
How an estimate is built
Transparent rules on public data. Two methods check each other, and any gap between them shows in the range.
Building and location
Year built, material, heating and energy label, plus distance to stops, schools, parks, highways and industry.
Estimate and range
Rounded to the confidence level, with the range always shown.
Cost-based check
Construction cost minus depreciation, plus land value. If the two methods differ by more than 50%, the range widens and confidence drops.
Rangeexample
€168,000≈ €186,000€204,000
Each estimate includes an indicative range and relevant data limitations; the range is not a guaranteed probability interval. Official land assessments relate to the land component and do not establish the value of the building or whole property.
Scores and risks
- HindaAI Score
- An overall score (0–100) summarizing the available information about a property and its surroundings. Coverage varies by address.
- Livability Score
- A neighborhood quality assessment using proximity and access signals across education, transport, retail, health, parks, sport, and culture.
- Building Risk Score
- An assessment of potential building risks based on available register records. It does not replace an inspection.
- Environmental Risk
- An evaluation of environmental factors including flood exposure, mapped radon class, pollution proximity, protected area status, traffic volumes, and noise context.
Data Sources
DatasetProviderLicence
Address Data System (ADS)
Maa- ja Ruumiamet
Open Data
Building Registry and Energy Certificates
Ministry of Climate
Open Data
Market Statistics and Land Cadastre
Maa- ja Ruumiamet
Open Data
Statistics Estonia and ECB Rental Index
Statistics Estonia / European Central Bank
CC BY-SA 4.0 / ECB reuse policy
OpenStreetMap POIs
OSM Contributors
ODbL
HindaAI Solar Baseline
HindaAI
Internal computed model
Peatus.ee Transit Data
Estonian transit data
Open Data
EHIS Education and Healthcare Enrichment
Estonian public registers and enrichment layers
Open Data / Derived layer
Weather, Climate, and Air Quality
OpenWeather; Keskkonnaagentuur for climate baseline
Provider terms / CC BY 4.0 climate data
Copernicus Land Monitoring Layers
European Union Copernicus programme
CC BY 4.0
EELIS Protected Areas and Pollution Layers
Environmental Board / Environmental Agency
Open Data
Flood and Radon Risk Layers
Flood-risk sources / Geological Survey of Estonia (EGT)
Open Data
Traffic Volumes and Noise Context
Transpordiamet; EEA noise maps
Open Data / CC BY 4.0
Tallinn and Tartu Open Data
Municipal open data portals
Open Data
Open Data Attribution
HindaAI uses open data and provider datasets published under their respective licenses and terms.
- OpenStreetMap
- © OpenStreetMap contributors · ODbL
- Statistics Estonia
- National statistics · CC BY-SA 4.0
- Tree canopy · urban heat · climate layers
- Contains modified Copernicus programme data · CC BY 4.0
- Noise context
- EEA noise maps and Transpordiamet traffic counts
- Solar assessment
- HindaAI's local Estonia baseline and EHR building facts.
- Air quality
- Derived HindaAI score with visible attribution — weather data © OpenWeather; climate baseline attributed to Keskkonnaagentuur / Keskkonnaportaal where used.
- Transit · education · radon · traffic · environmental layers
- Attributed to their respective source providers
Sections may be redacted until source terms are confirmed.
What the estimate is not
It does not replace an EVS 875 appraisal by a certified valuer, and it is not based on individual sales – Maa- ja Ruumiamet publishes transaction data only in aggregate. Where an area has no transaction statistics, we mark the estimate as indicative.
All scores, ratings, and assessments are computed products derived from raw open data using proprietary algorithms. They represent statistical estimates and should not be treated as certified appraisals.