Sóller decision profile

Sóller, in structure.

Valley and port on the northwest coast, inside the Tramuntana UNESCO landscape.

Low data coverage · 3/7 official metricsCompare with others

Everyday life

Village life between the mountains and the sea, with walking and nature on the doorstep.

Trade-off: Further from Palma and the airport than the south — check travel times for your routine.

Supports

village life, mountains and nature, being close to the sea

Still to check

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Does a smaller village suit everyone in your household all year?

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Registered price

€5,120 / m²

Sóller · Q4 2025 · Colegio de Registradores de España · low confidence

This is a structured decision model, not a prediction and not a valuation.

Price direction

Data not published

Price trend

Too few transactions for a published trend series.

Market activity

190 registered sales

Transaction volume

Sóller · 2025 · Colegio de Registradores de España · low confidence

Buyer mix

Data not published

Foreign buyer activity

Municipal split not published at this volume.

Finance

3.4% average new mortgage

Mortgage context

Spain · Q4 2025 · Banco de España · high confidence · National series applied as context.

Supply

Data not published

New-build activity

Permit counts are suppressed at this volume.

Regulation

UNESCO Tramuntana designation constrains new construction and visible alteration.
Tourist rental licences are extremely limited.

Lifestyle fit

Recorded strengths: Nature, Village life, Mountains, Sea access. Build your SWIP profile to personalise this.

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Data quality

Low data coverage

Not published: Price trend, Housing price index, Foreign buyer activity, New-build activity

Buyer pressure model

Foreign participation not published
No official series
Rising transaction activity
+190% year on year
No published price trend
Volume too low for a series
Limited verified supply data
Permits not disclosed at this volume

SWIP analysis

The published series do not point in one direction. Treat this location as data-thin and weight local knowledge accordingly.

How this was built

Model rules: No score is produced. Each statement restates one published series; the analysis names the pattern and the limits of reading it.
Input data: Only metrics carried in the SWIP source library. Each figure keeps its publisher, geography, period and confidence.
Periods: Latest published period per series. Periods differ between series and are shown per figure.
Geographies: Geography is stated per figure. Where a municipal figure does not exist, a regional or national series may be shown as context and is labelled as such.
Limitations: Averages are sensitive to the mix of properties that happened to transact. Low-volume municipalities produce volatile averages. Nothing here is a valuation or a forecast.
Interpretation method: Models combine published values using stated rules. No weighting is hidden and no score is generated that the rules above do not fully explain.

Ownership friction model

MEDIUM

2 recorded regulatory considerations
UNESCO Tramuntana designation constrains new construction and visible alteration.
Tourist-rental restrictions apply
Regulatory notes
Moderate financing cost
3.4% average rate
Low official data coverage
3/7 metrics published

How this was built

Model rules: One point per recorded regulatory consideration. Two points where tourist-rental restrictions are recorded. Two points where average financing cost is 4% or above; one point where no official series exists. One or two points for partial or low official data coverage. One point where ownership sits outside SWIP's home jurisdiction. 0–4 LOW · 5–7 MEDIUM · 8+ HIGH.
Input data: Only metrics carried in the SWIP source library. Each figure keeps its publisher, geography, period and confidence.
Periods: Latest published period per series. Periods differ between series and are shown per figure.
Geographies: Geography is stated per figure. Where a municipal figure does not exist, a regional or national series may be shown as context and is labelled as such.
Limitations: Averages are sensitive to the mix of properties that happened to transact. Low-volume municipalities produce volatile averages. Nothing here is a valuation or a forecast.
Interpretation method: Models combine published values using stated rules. No weighting is hidden and no score is generated that the rules above do not fully explain.

Cross-sectional decision profile

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