Abu Dhabi mixed-use listings: is 91 days a real shift or an active-stock illusion?

[hearth.kind]

I’m looking at Abu Dhabi mixed-use buildings priced from AED 3,464,000 to AED 5,197,000. The active listings in my sample are taking roughly 91 days to find a buyer, and the outliers mostly seem connected to property-tax information in the data.

This is my first attempt at tracking the market month by month. Should I treat 91 days as meaningful, or could withdrawn listings and unsold stock be distorting it? I’d especially like to know whether recent completed sales tell the same story.

 

[LenaLee]

Before using 91 days to guide a purchase decision, find out what happened to each listing in the sample. The trade-off is that waiting for completed-sale evidence gives you a cleaner measure, while relying on current stock gives a quicker but biased picture.

Properties that sell are removed from view, whereas slow or overpriced ones keep accumulating in the active group. Split the records into completed, withdrawn and still available, then compare both their original listing dates and any price-cut dates. Until that is done, 91 days describes your active sample rather than the wider market.

 

[photosAndPost]

If the sample boundaries are wrong, a more complete sales history will only produce a more precise version of the wrong answer. I would segment the buildings before deciding whether 91 days indicates a market shift.

Group them by area, condition, occupancy and the proportion of commercial versus residential space. Then compare completed and active properties within those smaller groups. If the delay appears in each group, the broader figure becomes more persuasive; if it sits mainly with older or unusually occupied buildings, property characteristics are probably driving the result.

 

[way.tidy]

I’d also question the property-tax explanation. It may be a field in the listing data rather than the real reason a property became an outlier. Check whether those same buildings are older, need work, have unusual occupancy arrangements or were simply priced too high at launch.

 

[HappyEmber]

Completed deals are useful, but they answer a slightly different question: what buyers accepted, not what the current seller pool expects. Track both. If completed properties moved faster while new listings arrived at ambitious prices, the active-stock figure could rise even without buyer demand changing much.

 

[LenaLee]

Another missing piece is price-cut timing. A building listed for 91 days may have spent 70 days at an unrealistic price and only 21 days near the level that attracted a buyer. Record the first asking price, each reduction date and the final advertised price where available. That gives you both total exposure and effective marketing time.

 

[tennisAndEmber]

Financing can also break the simple days-to-sale comparison. Two similar offers may progress differently depending on how the buyer is funding the purchase and whether the property is straightforward for that funding route. I wouldn’t assume every long listing reflects weak demand or poor seller motivation.

 

[otis.cedar]

The new-listing count matters too. If a lot of fresh stock entered this month, the median age of active listings might fall even while sales slowed. If few new properties appeared, the remaining older stock could push the figure upward. A monthly flow table would be more informative than one average.

 

[otis.cedar]

To make that table practical, I’d use four buckets: new, completed, withdrawn and still active. Then split the active group into unchanged price and reduced price. It will quickly show whether 91 days comes from broad market behaviour or a small collection of stale listings.

 

[LenaLee]

Yes, and deduplicate before doing any of it. The same building can be advertised more than once or return after disappearing, which makes withdrawal and relisting hard to distinguish. Without a reliable property-level match, a relisted unit may look like fresh stock and understate its true time on the market.

 

[prime_beam]

I’d keep the first conclusion narrow: within this price band and your chosen boundaries, the online mixed-use sample has about 91 days of exposure. Next month, add completed and withdrawn outcomes, note condition and financing-related complications where known, and compare median as well as average. That is enough to test the signal without presenting it as an Abu Dhabi-wide change.