Average prices for garages/parking for rent in Sofia, Ovcha Kupel 1
Median
120 €
-3.1% vs. last quarter
Lower bound (10%)
80 €
+7.4% vs. last quarter
Upper bound (90%)
150 €
methodology change
Active listings
7
methodology change
Price trend — Sofia, Ovcha Kupel 1 district
Median listing price by quarter
0k0k0k0kQ1 2026Q2 2026Q3 20260k €
Price range
Where the median falls and how far the extremes spread
120 €80 €150 €min 50 €max 180 €
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.
| Measure | Price (€) | Price (€/m²) |
|---|---|---|
| Cheapest 10% | 80 | 4 |
| Lower quartile | 110 | 6 |
| Median | 120 | 7 |
| Upper quartile | 130 | 7 |
| Most expensive 10% | 150 | 8 |
As of 2026-10-02, imotesa.bg tracks 7 active rent listings in Sofia, Ovcha Kupel 1. The median price per square metre is €7/m², and the median property price is €120.
The most affordable properties in this segment start at €2/m² (€50), while the priciest reach €9/m² (€180). Half of all listings fall in the price range between €6 and €7/m².
For tenants on a tighter budget: 10% of properties are offered below €80 (€4/m²). At the top of the market, 10% of listings exceed €150 (€8/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 7 €/m², and the median asking price for a property is 120 €. 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 7.0% higher than in the previous quarter.
How many active listings are there in Ovcha Kupel 1?
We currently track 7 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