Is powiat pilski expensive compared to Rzeczpospolita Polska?

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

How have prices changed in powiat pilski?

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 powiat pilski?

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.

powiat pilski, Average price per m²

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

€1,770/m²

The median price per m² is currently €1,770. 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?

≈ 282 m²

9 bedrooms

€1,770/m²

Quality of life breakdown

Noise100
Flood risk100
Economic health100

By property type

Apartment€1,983/m²
House€1,436/m²

The largest sub-area of powiat pilski is Piła.

In this area

Piła

€1,908/m²

Recent listings in powiat pilski:

Sample listings

Frequently asked questions

Is powiat pilski expensive compared to Rzeczpospolita Polska?: Compare the median €/m² on this page to the same figure on the Rzeczpospolita Polska page to see relative pricing.
How have prices changed in powiat pilski?: 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 powiat pilski?: 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.