Andratx decision profile

Andratx, in structure.

Port d'Andratx and its hinterland. Low volume, high value, thin official coverage.

Partial data coverage · 4/7 official metricsCompare with others

Everyday life

Coastal living built around the sea, marinas and an international community.

Trade-off: Homes close to the sea usually carry a premium — check how your budget compares.

Supports

being close to the sea, boating and marinas, golf, an international community, quiet and privacy

Still to check

How busy does the coast get in summer, and does that matter to you?
If you boat, is a berth available, and at what cost?

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Registered price

€6,980 / m²

Andratx · Q4 2025 · Colegio de Registradores de España · low confidence · Low transaction counts make the municipal average volatile.

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

240 registered sales

Transaction volume

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

Buyer mix

54.1% of registered purchases

Foreign buyer activity

Andratx · 2025 · Ministerio de Transportes y Movilidad Sostenible · low confidence

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

Coastal law severely limits extension of front-line plots.
Rural land in the Tramuntana buffer carries strict volume rules.

Lifestyle fit

Recorded strengths: Sea access, Privacy, Boating, Views. Build your SWIP profile to personalise this.

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Data quality

Partial data coverage

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

Buyer pressure model

High international participation
54.1% of registered purchases
Lower transaction activity
-8% 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
Coastal law severely limits extension of front-line plots.
Tourist-rental restrictions apply
Regulatory notes
Moderate financing cost
3.4% average rate
Partial official data coverage
4/7 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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