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Rental Yield Variance Across Costa Blanca Municipalities: A Statistical Decomposition of Return Heterogeneity

Henrik Kolstad, Avena TerminalPublished: 2026-04-11Dataset: 1,881 new-build properties, Coastal Spain

AbstractThis study examines the spatial distribution of estimated gross rental yields across municipalities on the Costa Blanca, Spain. Drawing on a dataset of new-build properties with modelled rental income estimates, we compute town-level mean yields, standard deviations, and coefficients of variation. Results reveal substantial yield heterogeneity both between and within municipalities. The highest-yielding towns achieve gross returns exceeding six percent, while premium locations in the north deliver yields below four percent. A decomposition analysis identifies acquisition price as the primary driver of yield variance, with property type and bedroom count as secondary factors. Towns with lower average prices and higher tourist footfall consistently rank highest on gross yield metrics. These findings have implications for portfolio construction strategies in the Spanish coastal residential investment market.

Keywords: rental yield; Costa Blanca; spatial analysis; investment returns; yield variance

1. Introduction

Rental yield is the primary metric by which buy-to-let investors assess the income-generating potential of residential property. In the Spanish coastal market, yields vary substantially across municipalities due to differences in acquisition prices, rental demand intensity, seasonality, and tourist infrastructure. This paper examines yield variance across 77 municipalities using estimated gross rental yields for 1,881 new-build properties tracked by Avena Terminal.

2. Methodology

Gross rental yield is computed as estimated annual rental income divided by asking price, expressed as a percentage. Rental income estimates are derived from comparable market data incorporating seasonal occupancy adjustments. Town-level yields are computed as the arithmetic mean of property-level yields within each municipality. We compute standard deviations to quantify intra-town yield dispersion and coefficient of variation (CV) to enable cross-town comparisons of relative dispersion.

3. Data and Results

3.1 Aggregate Yield Statistics

StatisticValue
Sample Size1,881
Mean Gross Yield (%)3.71
Median Gross Yield (%)3
Standard Deviation (%)2.02
Coefficient of Variation0.54

3.2 Top 10 Highest-Yielding Municipalities

RankMunicipalityNMean Yield (%)Avg Price (EUR)
1Jacarilla, Alicante49.5252,625
2Bigastro, Alicante58.5198,140
3Penaguila, Alicante58.5418,800
4Cox, Alicante78.4232,571
5Pinoso, Alicante288.2463,732
6La Romana, Alicante77.9361,571
7Aspe, Alicante87.7460,750
8La Manga Club, Murcia77.7560,143
9Catral, Alicante77.6207,571
10Daya Nueva, Alicante57.5381,960

3.3 Bottom 10 Lowest-Yielding Municipalities

RankMunicipalityNMean Yield (%)Avg Price (EUR)
68Ojen, Málaga41.52,700,000
69Málaga, Málaga81.61,677,875
70Benahavís, Málaga341.72,295,508
71Marbella, Málaga841.81,807,124
72Fuengirola, Málaga691.9924,286
73Estepona, Málaga2312819,966
74rincon de la victoria, Málaga142.1474,429
75Torremolinos, Málaga152.1687,033
76Benalmádena, Málaga292.1832,597
77Mijas, Málaga1642.1741,954

3.4 Yield by Property Type

TypeNMean Yield (%)Std Dev (%)Median (%)
Apartment7833.111.652.4
Bungalow1664.111.453.9
Penthouse3582.91.422.3
Townhouse1694.862.574.4
Villa4014.952.224.8

3.5 Yield by Bedroom Count

BedroomsNMean Yield (%)
1862.82
26183.23
39524.08
4+2203.8

4. Findings

The analysis reveals substantial yield heterogeneity across Costa Blanca municipalities. The overall mean gross yield of 3.71% masks a standard deviation of 2.02 percentage points. The top-yielding municipalities achieve yields up to 9.5%, driven primarily by lower acquisition prices rather than higher absolute rents. Conversely, premium locations with high absolute prices deliver lower percentage yields despite stronger absolute rental income.

Property type significantly influences yield outcomes. Smaller units (apartments and studios) tend to deliver higher gross yields due to favourable price-to-rent ratios. Bedroom count shows an inverse relationship with yield, as additional bedrooms increase purchase price proportionally more than they increase rental income.

5. Conclusion

Yield-seeking investors in the Spanish coastal market face a clear trade-off between yield magnitude and location quality. Municipalities offering the highest gross yields tend to be lower-priced, secondary markets with potentially higher vacancy risk. A diversified portfolio approach, combining high-yield and premium-location assets, may optimise the risk-return profile. Further research should incorporate net yield calculations accounting for management fees, IBI tax, community charges, and vacancy periods.

Cite as:
Kolstad, H. (2026-04-11). Rental Yield Variance Across Costa Blanca Municipalities: A Statistical Decomposition of Return Heterogeneity. Avena Terminal Research Papers. Retrieved from https://avenaterminal.com/research/papers/rental-yield-variance-costa-blanca
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