Is Merklín expensive compared to Česká republika?

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

How have prices changed in Merklín?

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 Merklín?

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.

Merklín, Average price per m²

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

€4,655/m²

The median price per m² is currently €4,655. 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?

≈ 107 m²

3 bedrooms

€4,655/m²

Quality of life breakdown

Transit42
Walkability26
Amenities0
Family0
Cultural0
Green space0
Noise100
Flood risk100
Economic health58

By property type

Apartment€4,679/m²

The largest sub-area of Merklín is Pstruží u Merklína.

In this area

Pstruží u Merklína

€4,655/m²

Recent listings in Merklín:

Sample listings

Frequently asked questions

Is Merklín expensive compared to Česká republika?: Compare the median €/m² on this page to the same figure on the Česká republika page to see relative pricing.
How have prices changed in Merklín?: 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 Merklín?: 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.