Is Marat - Parmentier expensive compared to République française?

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

How have prices changed in Marat - Parmentier?

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 Marat - Parmentier?

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.

Marat - Parmentier, Average price per m²

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

€5,248/m²

The median price per m² is currently €5,248. 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?

≈ 95 m²

3 bedrooms

€5,248/m²

Quality of life breakdown

Transit72
Walkability100
Amenities82
Family100
Cultural92
Green space100
Noise100
Flood risk20
Economic health73

By property type

Apartment€5,246/m²

Recent listings in Marat - Parmentier:

Sample listings

Frequently asked questions

Is Marat - Parmentier expensive compared to République française?: Compare the median €/m² on this page to the same figure on the République française page to see relative pricing.
How have prices changed in Marat - Parmentier?: 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 Marat - Parmentier?: 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.