Is Pichl bei Wels expensive compared to Republik Österreich?

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

How have prices changed in Pichl bei Wels?

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 Pichl bei Wels?

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.

Pichl bei Wels, Average price per m²

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

€4,598/m²

The median price per m² is currently €4,598. 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?

≈ 108 m²

3 bedrooms

€4,598/m²

Quality of life breakdown

Transit25
Walkability28
Amenities27
Family44
Cultural0
Air quality70
Green space25
Noise100
Flood risk100
Economic health85

By property type

Apartment€4,744/m²
House€3,504/m²

Recent listings in Pichl bei Wels:

Sample listings

Frequently asked questions

Is Pichl bei Wels expensive compared to Republik Österreich?: Compare the median €/m² on this page to the same figure on the Republik Österreich page to see relative pricing.
How have prices changed in Pichl bei Wels?: 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 Pichl bei Wels?: 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.