Warsaw snapshot: does the 7.8% price movement reflect the market?

anchor.honest

Real estate agent
Established
The main constraint is the lack of clean comparables. The Warsaw mixed-use properties I’m following ask from PLN 853,200 to PLN 1,280,000, but their condition and residential-commercial mix vary enough to distort the comparison.

The snapshot shows movement of about 7.8% and a median marketing period near 93 days. I initially wondered whether weaker energy performance was producing larger discounts. A counterexample is that some buyers may never bid on those buildings, especially if financing or renovation costs are a concern, so the effect would not appear in negotiations at all.

I’m now considering tracking cut dates, fresh listing volume and relisted properties separately. Would that make the 7.8% more informative, or is the group still too mixed to support any conclusion?
 
I would not rely on that percentage until you separate completed sales from asking prices. A few renovated properties entering or leaving a small sample could create most of the movement. The 93 days may also hide listings that were withdrawn and relaunched. Energy performance could affect the shortlist without appearing as a clear negotiation item.
 
How tightly did you draw the neighbourhood boundaries, and are all these buildings genuinely comparable in their residential and commercial split? In Warsaw, two listings at similar total prices can attract very different buyers if one has usable commercial space and the other needs substantial work. Buyer financing may be another reason inefficient stock quietly drops out rather than receiving lower offers.
 
Also, when were the first price cuts made? A property selling after 93 days with a reduction in week three tells a different story from one sitting unchanged for three months. I’d record original ask, latest ask, days until first cut, and whether the listing disappeared without a completed sale.
 
I’m not convinced energy performance is the main explanation. With mixed-use property, condition, income potential and seller motivation may dominate. An inefficient but well-located building can still attract negotiation, whereas unclear renovation costs may make buyers walk away. New-listing volume matters too: more choice can produce the same behaviour without any seasonal shift in demand.
 
That is fair. The useful distinction may be between energy performance itself and the cost uncertainty it represents. I would split the sample into recently renovated, usable but dated, and major-work properties, then compare completed sales and withdrawals within each group. If the 7.8% vanishes after that, it was probably mix rather than broad Warsaw movement.
 
And test the agents’ seasonal explanation against actual listing dates rather than their impressions. A simple timeline of new listings, cuts, withdrawals and completed sales should show whether 93 days is a stable pattern or an accident of when you sampled. For the decision at hand, recent comparable completions are more persuasive than the headline movement; energy performance is best tracked as one negotiation variable alongside condition and financing.
 
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