Berlin small multifamily: does vacancy trigger a discount or a pass?

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Either folding vacancy into the price comparison or excluding vacant buildings entirely feels unsatisfactory. The first may mix very different risks; the second could remove the properties where negotiation is most revealing.

My Berlin snapshot covers small multifamily listings from €857,400 to €1,286,000. It shows price movement of +2.8% and a median marketing period near 35 days, but condition varies enough to make both figures noisy. Reliable completed prices are also much less visible than asking histories.

Would it make more sense to divide the sample into occupied, partly vacant and fully vacant properties, then compare price-cut timing and withdrawals within each group? I’m trying to work out whether vacancy leads buyers to offer less, or whether income-focused buyers simply reject those listings while a different buyer group remains interested.
 
Probably both, depending on the buyer. Someone focused on current income may walk away, while another may bid lower to reflect carrying costs and uncertainty around future rent. “Vacant” is too broad, though: is it one unit or the whole building, and is there a clear reason for it? Seller motivation and the buyer’s financing could matter as much as the headline vacancy.
 
The useful outcome would be a vacancy comparison that reflects buyer behaviour, but the 35-day median gets in the way. A withdrawn or relisted property can vanish from the sample without being sold, while a reduction shortly beforehand may be missed or misread.

The citywide +2.8% movement is tempting as a reference point, although neighbourhood and building condition may outweigh it in a group this small. I’d first separate occupied, partly vacant and fully vacant buildings. Within those groups, record the first reduction date, any withdrawal or relisting, and the precise neighbourhood. That will not supply the missing completed prices, but it should distinguish quick sales from listings that merely disappeared.
 
That split would make the result much more useful. I’d add the number of new listings entering each group, so a quick sale is not confused with simply having very little competing stock. For completed sales, even a few credible examples matched by neighbourhood, condition and vacancy would be more informative than expanding the asking-price sample. If vacant properties cut earlier or withdraw more often, that suggests buyers are resisting even when the final negotiated figures remain unavailable.
 
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