Flats.pl

Flat rent prices in Oliwa (Gdańsk) — October 2026

Median rent in Oliwa (Gdańsk): 3,000 zł per month.

Summary

Median rent
3,000 zł
Median per m²
71 zł/m²
Middle half of offers (p25–p75)
2,600–3,400 zł

Sample: Flats.pl 0, market data 23. Figures: market data.

By number of rooms

  • Studio: no dataSample: Flats.pl 0, market data 0. Figures: Flats.pl listings.
  • 2 rooms: no dataSample: Flats.pl 0, market data 0. Figures: Flats.pl listings.
  • 3 rooms: no dataSample: Flats.pl 0, market data 0. Figures: Flats.pl listings.
  • 4 or more rooms: no dataSample: Flats.pl 0, market data 0. Figures: Flats.pl listings.

Analysis

  • Half of the offers in Oliwa (Gdańsk) fall between 2,600 and 3,400 zł per month.
  • Flats in Oliwa cost about the same as the average in Gdańsk.

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Methodology

The report is based on listings on Flats.pl and aggregated market data from recent weeks.

We include flats only (no rooms or houses). Flats.pl listings are active offers directly from owners. Market data is no older than 60 days.

For each group (city, district, number of rooms) all figures come from one source, the one with the larger sample. We never blend sources into one average, and we show the number of offers for both. A group with fewer than 5 offers has no result.

The median is the middle price: half of the offers are cheaper, half are more expensive. The p25–p75 range covers the middle half of the offers. Prices are the rent stated in the listings, which do not always include fees and utilities.

Data as of October 18, 2026.

Frequently asked questions

How much does it cost to rent a flat in Oliwa (Gdańsk)?

The median rent for a flat in Oliwa (Gdańsk) is 3,000 zł per month. Half of the offers cost between 2,600 and 3,400 zł. The result is based on 23 offers.

How much is rent per m² in Oliwa (Gdańsk)?

The median rent per m² in Oliwa (Gdańsk) is 71 zł per month.

Where does the data in the report come from?

From listings on Flats.pl and aggregated market data from recent weeks. For each group we show the figures from the source with the larger sample and never blend sources into one average.

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