Helsinki's apartment market by postcode.

A price model trained on Helsinki listings estimates what each flat would typically ask. The map shows where asking prices fall below that estimate.

    each tick is one postcode

    Most traded postcodes

    The Helsinki postcodes with the most apartment sales in the latest quarter Statistics Finland has published.

    Source: Statistics Finland · loading…

    Browse by postcode

    Listings asking less than the model's estimate, by Helsinki postcode.

    Centre & south
    Töölö & west
    Kallio, Vallila & Kalasatama
    North & east
    All Helsinki postcodes in the Finder →

    What you can do here

    Two tools for the Helsinki housing market.

    Find listings below the estimate

    Listings asking 5 to 20% less than the model's estimate, each shown with the model's margin of error.

    Open the Finder →

    Browse the sales archive

    Realised sale prices matched to the listings' asking prices up to the end of 2025. Its source, the Asuntojen hintatiedot service, received no sales in 2026, so the archive no longer grows.

    View sales →

    How the Finder works

    1

    Pick a postcode

    Type a postcode, pick areas on the map or search all of Helsinki.

    2

    Compare asking with the estimate

    Each row shows the asking price, the model's estimate and the gap. A gap means something only when it is larger than the model's margin of error.

    3

    Check the listing

    The listing page shows the inputs the model used, recent sales nearby and a cost breakdown. Read the housing company's documents before you bid.

    Methodology

    What the model
    looks at.

    The estimates come from an XGBoost tree model with 27 inputs, trained on the asking prices of Helsinki listings over 365 days up to 10 Sep 2026. The table shows how much of the model's weight each group of inputs carries.

    27
    inputs
    10.5%
    average error on new listings
    14,523
    listings in the data
    Input group Share
    Size floor area, room count
    44.0%
    Location postcode price level, distance to centre, station and sea
    29.9%
    Amenities lift, sauna, balcony
    7.8%
    Condition condition label in the listing
    6.2%
    Pipe renovation status, year and how clearly the listing states them
    4.6%
    Land own or leased plot
    2.6%
    Fees monthly fee and fee per m²
    1.9%
    Building age year built
    1.7%
    Floor floor and number of floors
    1.3%
    Share = the group's part of the error reduction the model's tree splits achieve (gain) on its training data; served model v2.5, trained 23 Sep 2026.