Raemetsa tee, Häädemeeste
Official registry index for Raemetsa tee in Reiu küla District, Häädemeeste. Features complete catalog of 0 residential buildings, average €/sqm benchmark, value distributions, and micro-demographics.
Automated algorithmic benchmark based on official Land Board transactions and EHR building registry for 0 residential properties.
Residential Buildings on Raemetsa tee
Complete directory of all 0 residential buildings with construction years, energy ratings, and current estimated price levels.
Market Position & District Comparison
How Raemetsa tee benchmarks against Reiu küla District and Häädemeeste as a whole.
BUILDING-BASED AVM BENCHMARK (0 buildings)
vs District (Reiu küla): +0%
vs City (Häädemeeste): +0%
Estiq Street Scorecard™
Street rating built from transit, everyday services, housing-stock age and green space, using EHR and Maa- ja Ruumiamet data.
Nearest stop "Rae stop" is 207 m away; 2 stops within a 10-min walk.
Shop "Meie Olevi pood" at 3749 m; within a 10-min walk: 1 shops, 1 schools, 1 kindergartens.
Construction-year data for this street is incomplete.
Safety, Environmental Quality & Livability
Safety and air-quality figures describe the surrounding area (H3 cell), noise is modelled for the street itself. A figure with no measurement behind it is not shown. Street: Raemetsa tee
Nearest monitoring stations of the Estonian Environmental Research Centre (area-level reading, not street-level).
Strategic noise model from Land Board and local municipality.
Educational facilities within a 10-minute walk.
Infrastructure & Street Map (10-Min Walk)
Within a 10-minute walk from Raemetsa tee, there are 2 key infrastructure objects: transit stops, supermarkets, schools, kindergartens, and parks.
What Does This Mean for Buyers, Sellers & Investors?
Strategic guidance for transactions on Raemetsa tee
For Homebuyers
Offers an accessible entry price point into Häädemeeste housing with mature infrastructure. Check the specific building's energy certificate and association loan obligations.
For Property Sellers
Price close to the street benchmark (€0/sqm): over-pricing is what lengthens time on market most. Fresh renovation and a higher floor usually command a premium over the average €/sqm.
For Buy-to-Let Investors
Entry price for a typical unit on the street is about €0. There is not enough rent data to calculate a yield. Compact layouts in this price band see steady tenant demand.
Sources and method
- Building prices are Estiq (AVM) estimates for each building; they are not street-level transaction statistics.
- District and city comparison — transaction medians from Maa- ja Ruumiamet.
- Construction year, energy class and addresses — building register (EHR).
- Satellite image and street centre line — Maa- ja Ruumiamet (ETAK).
- How Estiq calculates a valuation (method and model accuracy) →
FAQ: Raemetsa tee
Prices are Estiq estimates for the buildings on this street; the district comparison, rents and surroundings are measured data with their source.
What public transport is there on Raemetsa tee?
The nearest stop, Rae stop, is about 207 m away (~3 min); 2 stops within a 10-minute walk. Routes: peatus.ee.
How noisy is Raemetsa tee and what is the air like?
Traffic noise about 50 dB (moderate). Air-quality index 10 (good). Nearest green space: Uulu Roosiaed fitness station, 3466 m.
How accurate is the Estiq automated valuation (AVM)?
Median error is 9.5% in Tallinn and 12.1% elsewhere in Estonia; 83% of Tallinn estimates fall within ±20% (blind test, May–September 2026). Atypical properties have larger errors — see the methodology.
Does an Estiq estimate replace the valuation a bank requires?
No. For a mortgage the bank needs a certified valuer's report under EVS 875 — order a valuation.
Where does this data come from?
Sale prices — notarised apartment sales, Maa- ja Ruumiamet; estimates — the Estiq AVM model; rents — Estiq market database (24 months); wages — Statistics Estonia (PA117); building data — building register (EHR); noise and air — national noise maps and air monitoring. Figures refresh with every data load and each states its period and sample — see the methodology.