The map shows the average prices of the residential properties in the municipality of Split. The reference period is May 2025.
sale
5,054 €/m²
from 4,255 €/m² to 5,498 €/m²
rent
16.77 €/m²
from 14.33 €/m² to 18.11 €/m²
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Search agencyThe following charts show price trends over time for all types of residential property in Split, both for sale and for rent.
In May 2025 the average price asked for residential properties for sale was € 5,054 per square meter, with an increase of 12.14% compared to May 2024 (4,507 €/m²). Over the past 2 years, the average price in Split municipality reached its peak in May 2025, with a value of € 5,054 per square meter. The month with the lowest asking price was July 2023: for a property for sale, the average price asked was € 4,052 per square meter.
In May 2025 the average price asked for residential rental properties was € 16.77 per month per square meter, with an increase of 9.25% compared to May 2024 (€ 15.35 monthly per square meter). Over the past 2 years, the average price in Split municipality reached its peak in May 2025, with a value of € 16.77 per square meter. The month with the lowest asking price was July 2023: for a rental property, the average price asked was € 14.15 per month per square meter.
During May 2025, the asking price for properties for sale in Split was highest in the Jug area, with € 5,498 per square meter. The lowest price, instead, was in the Sjevero-istok area, with an average of € 4,255 per square meter.
During the same month, the asking price for rental properties in Split was highest in the Zapad area, with € 18.11 per month per square meter. The lowest price, instead, was in the Centar area, with an average of € 14.33 per month per square meter.
Zones | Sale(€/m²) | Rent(€/m²) |
---|---|---|
Centar | 4,520 | 14.33 |
Jug | 5,498 | 17.02 |
Sjevero-istok | 4,255 | 15.73 |
Zapad | 5,445 | 18.11 |
The following charts show information about the real estate property of the municipality of Split and a summary of the demographic and socio-economic aspects that characterize its resident population.