Warsaw new builds: signal or noise after 13 days?

anchor.honest

Real estate agent
Established
For April 2025 I’m tracking a deliberately narrow group of Warsaw new-build flats rather than relying on the citywide average. Asking prices run from PLN 2,544,000 to PLN 3,816,000, and the current marketing period is roughly 13 days.

So far, insurance-related differences seem more meaningful than the monthly headline figures. Is that likely to be ordinary property-level variation, or could it be an early change in this part of the Warsaw market? I’m also unsure how much weight to give the short marketing period before recent completed sales become available.
 
Thirteen days is too little for me to call a market change. At this price level, one motivated seller or one unusually configured flat could distort a small group. I’d compare initial asking prices with completed sales, but also record withdrawals. A withdrawn unit can otherwise look like demand when it may simply have failed to sell.
 
What exactly is varying on insurance: the quoted premium, whether the flat can be insured, or something raised during buyer financing? That distinction matters.

I’d also tighten the location field. Warsaw-wide is still broad even within this price band. Different neighbourhood boundaries, floor areas, fit-out condition and completion stages could explain more than the April headline.
 
I partly disagree that you should wait mainly for completed sales. Those will help, but they may arrive too late to identify an early shift. New-listing volume, the timing of the first price cut and whether similar flats are being withdrawn can provide earlier clues. If the pattern appears across several comparable developments, it is more persuasive than a change inside one project.
 
Keep the cohort unchanged for a few more observations and log each unit weekly: neighbourhood, condition, first and current asking price, day of any cut, withdrawal, financing complications and the specific insurance issue. Add new listings separately rather than mixing them into the original group. That should show whether insurance consistently affects outcomes or merely coincides with seller motivation and property differences.
 
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