What is behind the 76-day visibility of Manila multifamily listings?

E

EarnestBrick

First-time buyer
Established
Purely anecdotal, and I may be too close to the search to judge it clearly. I’m looking at mostly small multifamily properties in Manila priced from PHP 50,110,000 to PHP 75,170,000. The typical listing in my sample has remained visible for 76 days.

I’m trying to decide whether the difference between quick-moving properties and stale stock is mainly connected to rental regulation, or whether I’m combining unlike neighbourhoods and building conditions. What would you compare first: completed sales, price cuts, withdrawals, financing, or seller motivation?
 
I wouldn’t lead with rental regulation yet. Seventy-six days of listing visibility is not necessarily 76 days continuously for sale; withdrawn and relisted properties can distort the picture.

The first split I’d make is occupied versus vacant, then condition. A building with tenants and deferred work presents a very different purchase decision from a vacant, usable one at the same asking price.
 
Neighbourhood boundaries may be doing more work than your overall Manila label suggests. At this price level, two small multifamily properties can have similar unit counts but very different buyer pools because of the immediate street and access.

Are the quick sales concentrated in one part of your sample? If so, the median visibility across all locations may hide the useful pattern.
 
I partly disagree with putting occupancy first. Buyer financing and seller motivation could create the same result even among comparable occupied buildings. A seller testing an ambitious price can sit indefinitely, while another accepts a realistic offer quickly.

I’d want to know when the first price cut happens and whether stale listings are eventually withdrawn rather than sold. Asking-price history alone won’t show where buyers are actually clearing.
 
Build a simple weekly table rather than trying to explain every listing individually: new listing, still active, price reduced, withdrawn, or apparently completed. Keep neighbourhood, occupancy, visible condition and asking bracket as separate columns.

After several updates, you can compare the fast group with the stale group without assuming one cause. Be cautious with “apparently completed,” though—a disappearing advertisement does not establish a sale or its final price.
 
That distinction helps. My 76-day figure is definitely visibility in the sample, not verified continuous time on market, so I’ve been giving it more weight than it deserves. I also need to stop treating Manila as one uniform market.

I’ll recut the notes by neighbourhood, visible condition and occupancy where stated, then track cuts and withdrawals separately. Rental regulation can remain a possible explanation rather than the starting conclusion.
 
That should make the comparison much cleaner. I’d also keep financing as an interpretation rather than a field unless a listing or later information actually supports it. Otherwise it becomes a catch-all explanation for anything slow.

The strongest evidence would be recent completed sales matched as closely as possible by location, condition and occupancy. Where those are unavailable, price-cut timing plus withdrawal patterns can still show whether sellers are adjusting or simply waiting.
 
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