The map shows the average prices of the residential properties in the municipality of Escaldes-Engordany. The reference period is March 2024.
sale
5,493 €/m²
from 3,628 €/m² to 5,493 €/m²
rent
21.05 €/m²
from 14.95 €/m² to 24.45 €/m²
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Search agencyThe following charts show price trends over time for all types of residential property in Escaldes-Engordany, both for sale and for rent.
In March 2024 for residential properties for sale was asked an average of € 5,493 per square meter, with an increase of 9.97% compared to March 2023 (4,995 €/m²). Over the past 2 years, the average price in Escaldes-Engordany municipality reached its peak in March 2024, with a value of € 5,493 per square meter. The month with the lowest asking price was June 2022: for a property for sale was asked an average of € 4,517 per square meter.
In March 2024 for residential rental properties was asked an average of € 21.05 per month per square meter, with an increase of 4.99% compared to March 2023 (€ 20.05 monthly per square meter). Over the past 2 years, the average price in Escaldes-Engordany municipality reached its peak in March 2024, with a value of € 21.05 per square meter. The month with the lowest asking price was May 2022: for a rental property was asked an average of € 14.11 per month per square meter.
In March 2024, the asking price for properties for sale in Escaldes-Engordany was € 5,493 per square meter, compared to the provincial average of € 4,557.
The asking price for rental properties in Escaldes-Engordany was € 21.05 monthly per square meter, compared to the provincial average of € 19.81.
Municipalities | Sale(€/m²) | Rent(€/m²) |
---|---|---|
Andorra la Vella | 5,349 | 19.34 |
Canillo | 4,052 | 23.19 |
Encamp | 4,252 | 24.45 |
Escaldes-Engordany | 5,493 | 21.05 |
La Massana | 3,851 | 14.95 |
Ordino | 4,347 | 17.05 |
Sant Julià de Lòria | 3,628 | 19.52 |
The following charts show information about the real estate property of the municipality of Escaldes-Engordany and a summary of the demographic and socio-economic aspects that characterize its resident population.