Marbella decision profile

Marbella, in structure.

Costa del Sol comparison market with a deep international buyer base.

High data coverage · 7/7 official metricsCompare with others

Registered price

€4,460 / m²

Marbella · Q4 2025 · Colegio de Registradores de España · partial confidence

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

Price direction

+8.2% year on year

Price trend

Málaga province · Q4 2025 · Instituto Nacional de Estadística (INE) · partial confidence

Market activity

5,240 registered sales

Transaction volume

Marbella · 2025 · Colegio de Registradores de España · partial confidence

Buyer mix

38.9% of registered purchases

Foreign buyer activity

Málaga province · 2025 · Ministerio de Transportes y Movilidad Sostenible · partial confidence

Finance

3.4% average new mortgage

Mortgage context

Spain · Q4 2025 · Banco de España · high confidence

Supply

1,860 permits issued

New-build activity

Málaga province · 2025 · INE / Ministerio de Vivienda · partial confidence

Regulation

Andalusian tourist rental registration is comparatively accessible.
Local planning history means title and licence review matters.

Lifestyle fit

Recorded strengths: Sea access, International community, Golf, Year-round services. Build your SWIP profile to personalise this.

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Data quality

High data coverage

Buyer pressure model

Substantial international participation
38.9% of registered purchases
Rising transaction activity
+2.6% year on year
Rising registered prices
+8.2% year on year
Verified new-build activity recorded
1,860 permits issued

SWIP analysis

Prices and activity are both recorded higher. That is a straightforward reading, though the registered average is sensitive to which segments happened to trade.

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
Andalusian tourist rental registration is comparatively accessible.
Tourist-rental restrictions apply
Regulatory notes
Moderate financing cost
3.4% average rate
Cross-border ownership structure required
Jurisdiction differs from SWIP's home market

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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