Is Bézéril expensive compared to France?

Compare the median €/m² on this page to the same figure on the France page to see relative pricing.

How have prices changed in Bézéril?

The 12-month trend table above shows monthly medians. A multi-month rise or fall tells you whether the market is heating up or cooling.

Where are the cheapest areas in Bézéril?

See the sub-locations table above, entries are sorted by listing volume; visit each sub-area page for its own median price.

How does Seeki calculate these figures?

We compute the median of price_eur / floorage across all published listings scoped to this location. We use median rather than mean to avoid distortion from outliers.

Bézéril, Average price per m²

Name: Average price per m² in Bézéril
Creator: Seeki
License: https://seeki.eu/terms

€1,996/m²

The median price per m² is currently €1,996. Data is updated regularly from public listings.

Budget (EUR)

€500,000

€50,000€1,025,000€2,000,000

What does your budget get you here?

≈ 250 m²

8 bedrooms

€1,996/m²

Quality of life breakdown

Transit0
Walkability0
Amenities0
Family0
Cultural0
Green space0
Noise100
Flood risk100
Economic health61

By property type

House€1,996/m²

By condition

House · Good condition€1,801/m²

The largest sub-area of Bézéril is Chemin d'En Nasquet.

In this area

Chemin d'En Nasquet

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Recent listings in Bézéril:

Sample listings

Frequently asked questions

Is Bézéril expensive compared to France?: Compare the median €/m² on this page to the same figure on the France page to see relative pricing.
How have prices changed in Bézéril?: The 12-month trend table above shows monthly medians. A multi-month rise or fall tells you whether the market is heating up or cooling.
Where are the cheapest areas in Bézéril?: See the sub-locations table above, entries are sorted by listing volume; visit each sub-area page for its own median price.
How does Seeki calculate these figures?: We compute the median of price_eur / floorage across all published listings scoped to this location. We use median rather than mean to avoid distortion from outliers.