Stockholm new-build flats: is 31 days a useful signal?

You don’t have to wait for every deal to complete before learning anything. Weekly snapshots would show incoming listings, removals and price changes. Later, match removals to confirmed outcomes instead of assuming every disappearance was a sale.
 
Weekly snapshots only work if the units are deduplicated reliably. Otherwise a revised listing can count as one withdrawal plus one new arrival, creating the illusion of turnover. Address and unit details matter more here than the headline listing count.
 
What exactly does “maintenance” mean in the sample? Is it the physical condition of the flat, a building-related issue, or an ongoing cost mentioned in the listing? Those could affect buyer decisions in separate ways and shouldn’t share one flag.
 
If some of it refers to ongoing monthly costs rather than physical work, compare the buyer’s broader monthly commitment, not just the asking price. Two flats in the same price band may therefore attract different pools of buyers.
 
Yes, but keep monthly expense and property condition as separate columns. Combining them would recreate the original ambiguity. One is a continuing affordability consideration; the other concerns the state of the particular flat or building.
 
For the practical decision, what result would change the approach? If completed deals confirm longer marketing periods, would the plan be to bid below asking, wait for a cut, or simply take more time comparing units? The data should be built around that choice.
 
My takeaway is to keep the 31-day figure as a provisional signal, not a conclusion. First stabilize the neighbourhood and property comparisons, add new-listing volume, preserve relistings and price cuts, and classify removals. Then use completed deals to see whether patient negotiating is actually supported.
 
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