Dublin 3-bed snapshot: is condition driving negotiation or walkaways?

[NimblePlan]

I’m torn between treating condition as a source of negotiation and treating it as a reason buyers simply choose another home. A small group of Dublin three-bed villas is advertised between roughly €147,200 and €220,800, with price movement of +4.7% and a median marketing period near 105 days. Differences in maintenance and finish make those figures difficult to interpret.

There is plenty of listing history, but little recent completed-sale evidence that lines up cleanly. What would alter my view is knowing whether the older listings sold after reductions, were withdrawn or returned under a new listing. Is there a practical way to trace that before assuming visible work leads to a predictable discount?

 

[BoldAtlas]

Condition probably affects both outcomes. A buyer with limited cash after financing may avoid a property needing work, while a motivated buyer may negotiate. The missing piece is what happened to listings that disappeared: completed sale, withdrawal, or relisting. Without that, 105 days could be measuring seller motivation as much as buyer demand.

 

[blueprint.solid]

I don’t think condition should be the first way to divide this sample, even though it is an appealing explanation for buyer behaviour. Neighbourhood differences may be large enough to swamp the reported 4.7% movement at these prices.

I would first restrict the comparison to tightly matched areas. Within each area, separate fresh listings from older stock and record when any reduction occurred. A cut after 30 days can indicate a different level of seller urgency from one made near the 105-day median; condition can then be added as a second-stage comparison.

 

[miro_roofs]

The location-and-timing split is sensible, but condition still may not produce a clean discount. Some sellers could have allowed for the work in their first asking price, and a completed figure by itself will not show what drove the final negotiation.

A narrow compromise would be to record condition alongside original price, later reductions, days advertised and final status for each closely located three-bed. That keeps maintenance in the analysis without assuming it caused every cut. Separating likely sales from withdrawals and relistings should also make the 105-day figure more useful.