Observatory22 agosto 2026·8 minIT →

    Soim Real Estate Data Observatory: what we measure and how

    Quick answer

    The Soim Observatory publishes aggregates from our proprietary real estate dataset: over 2 million surveyed properties, 2.2 million linked ownership positions and roughly 1 million records refreshed every day. We publish coverage, normalisation method and market KPIs (time to sell, supply/demand match rate, data quality) so the figures are verifiable and citable.

    ◉ Key figures
    2M+
    Properties surveyed

    with territorial attributes

    2.2M
    Ownership positions

    linked to properties

    1M+
    Records refreshed daily

    surveys, changes, enrichment

    97%
    Supply/demand match

    networks running Soimsoft

    Daily data flow composition
    % of records processed each day
    Daily data flow composition (% of records processed each day)
    Changes to existing properties
    46%
    Attribute enrichment
    27%
    New surveys
    18%
    Ownership reconciliation
    9%
    Source: Soim elaboration on proprietary dataset

    What the Soim Observatory is

    Every day our infrastructure collects, normalises and reconciles real estate data from cadastral and registry sources, listing portals and the archives of the agency networks running Soimsoft. The Observatory is the public side of that work: periodic reports sharing aggregates and methodology, never personal or individually identifiable data.

    Dataset coverage

    The current perimeter covers more than 2 million properties with territorial attributes, 2.2 million ownership positions linked to those properties, and a flow of about 1 million records refreshed daily across new surveys, changes and enrichment. The geographic focus is North-East Italy, with the highest information density in Veneto and the provinces of Padua, Vicenza, Treviso, Verona and Venice.

    How we normalise data

    Value comes from reconciliation, not volume: addresses reduced to a canonical form, properties deduplicated across sources, ownership positions linked through probabilistic matching, and a reliability score attached to every record. Each published aggregate reports the size of the base and the share of high-reliability records.

    The KPIs we publish

    Four stable metrics: census coverage over the monitored territory, supply/demand match rate observed on networks using the platform (currently 97%), data freshness (share of records refreshed in the last 30 days) and completeness of key attributes. They are the same indicators agencies see in their dashboards, read at aggregate level.

    What we do not publish

    No personal data, names, contacts or figures traceable to a single identifiable property. No price estimates presented as official surveys: when we release value indications they are declared as our own elaborations, with calculation base and uncertainty range.

    Using and citing the data

    Observatory figures can be cited freely, quoting the source (Soim Real Estate Data Observatory) and the reference period. For custom extracts by province, property type or historical series, use the contact form: where source licences allow, we provide the aggregate.
    FAQ

    Frequently asked questions

    Where does the data come from?

    Public cadastral and registry sources, archives of real estate networks using Soimsoft, and portal observations. Each report states the source families behind the published aggregates.

    Is the data anonymous?

    Yes. We publish only territorial or statistical aggregates — no personal data, no contacts, no figures tied to an identifiable property.

    Can I cite these figures?

    Yes, citing the Soim Real Estate Data Observatory and the report date. Ask via the form if you need the calculation base for a specific number.

    Do you provide custom extracts?

    On request, within the limits of source licences. Common requests cover a single province, a property type or a 24-36 month historical series.

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