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Average prices for 2-bedroom apartments for rent in Sofia, Ovcha Kupel 1

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Median
620 €
+0.9% vs. last quarter
Lower bound (10%)
497 €
+9.2% vs. last quarter
Upper bound (90%)
759 €
+10.7% vs. last quarter
Active listings
23
+19.6% vs. last quarter
Price trend — Sofia, Ovcha Kupel 1 district
Median listing price by quarter
1k1k1k1kQ4 2025Q1 2026Q2 2026Q3 20261k €
Price range
Where the median falls and how far the extremes spread
620 €497 €759 €min 475 €max 950 €
Median
50% of listings (P25–P75)
80% of listings (P10–P90)
Price distribution
Median, quartiles and outer deciles — by asking price and by price per square metre.
Price distribution in this segment — 23 active listings
MeasurePrice (€)Price (€/m²)
Cheapest 10%4978
Lower quartile5389
Median6209
Upper quartile69910
Most expensive 10%75912

As of 2026-10-02, imotesa.bg tracks 23 active rent listings for 2-room apartments in Sofia, Ovcha Kupel 1. The median price per square metre is €9/m², and the median property price is €620.

The most affordable properties in this segment start at €6/m² (€475), while the priciest reach €12/m² (€950). Half of all listings fall in the price range between €9 and €10/m².

For tenants on a tighter budget: 10% of properties are offered below €497 (€8/m²). At the top of the market, 10% of listings exceed €759 (€12/m²).

Data is updated daily from real listings on the Bulgarian real-estate market. Use the filters above to refine your search by neighbourhood, number of rooms or deal type for a more detailed picture of the market.

Frequently asked questions

What is the average price per m² in Ovcha Kupel 1?
The median price per square metre in Ovcha Kupel 1 is 9 €/m², and the median asking price for a property is 620 €. The figures are computed from active listings and updated daily.
Are prices rising in Ovcha Kupel 1?
Yes. The median price per square metre in Ovcha Kupel 1 is 0.7% higher than in the previous quarter.
How many active listings are there in Ovcha Kupel 1?
We currently track 23 active listings in Ovcha Kupel 1. A listing not confirmed within 24 hours drops out of the statistics.
How is this data calculated?
Listings are collected hourly from the public property portals, duplicates are merged into a single property by photo and attribute matching, and the published figures are medians — not means. A segment with too few listings is not published at all. The full description is on the Methodology page. Read the methodology