Sale price
Data source: Fotocasa listings
Average house price in Spain
Check the evolution of the average house price in Spain by province.
Average price in Spain
Rental price
Data source: Fotocasa listings
Housing prices by province
- Araba - Álava
- Albacete
- Alicante
- Almería
- Ávila
- Badajoz
- Illes Balears
- Barcelona
- Burgos
- Cáceres
- Cádiz
- Castellón
- Ciudad Real
- Córdoba
- A Coruña
- Cuenca
- Girona
- Granada
- Guadalajara
- Gipuzkoa
- Huelva
- Huesca
- Jaén
- León
- Lleida
- La Rioja
- Lugo
- Madrid
- Málaga
- Murcia
- Navarra
- Ourense
- Asturias
- Palencia
- Las Palmas
- Pontevedra
- Salamanca
- Santa Cruz de Tenerife
- Cantabria
- Segovia
- Sevilla
- Soria
- Tarragona
- Teruel
- Toledo
- Valencia
- Valladolid
- Bizkaia
- Zamora
- Zaragoza
- Ceuta
- Melilla
How is the average house price calculated?
The average house price from Fotocasa Maps is an indicator specifically designed to offer a complete, transparent, and accessible snapshot of the residential market in Spain.
Unlike the Fotocasa Real Estate Index —focused on the homogeneous analysis of flats and penthouses since 2005—, this price aims to provide a more global and aggregated view of the average house price. To do this, it calculates the average from the entire volume of listings published on the portal, allowing for a price reference backed by the highest representativeness and database in the market.
What is taken into account to calculate the average price?
To offer a price that reflects the entirety of the available supply in each area, the Price Index jointly and aggregately analyses all types of residential properties published on Fotocasa:
- Multi-storey properties: Flats, penthouses, ground-floor flats, duplexes, lofts, and apartments.
- Single-family properties: Terraced houses, semi-detached houses, detached villas, and towers.
- Other property types: Rural properties and village houses.
Why is this aggregated methodology used?
- Higher volume of supply: By integrating all property types, the calculation covers a much broader sample of properties, providing a global average price figure per area.
- Sector transparency: It allows users, professionals, and analysts to know the real average cost of the global residential supply available in a municipality, province, or autonomous community, without excluding any property type.
- Quality control and outlier data: Although all property types are included, the data undergoes rigorous statistical filters to eliminate outliers or publication errors, ensuring the reliability of the metrics.
How does the flat price index help me?
Compare average prices by area
January 2005 has been taken as the initial date for sales data, and December 2006 for rental data. We can access annual historical data from then until now, as well as data for the last 12 months.
Know if it's a good time to buy or rent
In the index for each city and location, you can see the evolution of prices and understand the market's temperature, which will help you in the decision to buy or rent.
Know your neighbours' prices
In each analysed area, you can see the offers published on Fotocasa to better understand your neighbours' prices for properties similar to yours.