Buenos Aires villas: is occupancy behind the 113-day listing age?

T

teaAndPath

Property investor
Established
I’m deciding whether to negotiate now or wait for better stock in Buenos Aires. My sample runs from ARS 862,400,000 to ARS 1,294,000,000, mostly villas, and the typical listing has been visible for 113 days.

My working theory is that occupancy and remaining lease length separate the quick sales from the stale listings. Has anyone seen recent completed sales that support that, or are condition and ambitious pricing the more likely explanation? New listings are appearing, but very few make my shortlist.
 
If these are sale listings, I would not lead with lease length unless a meaningful share is tenanted. Price, condition and whether the seller can deliver the property vacant could explain more. When you say “lease length,” do you mean the tenant’s remaining term or the intended holding period?
 
Also be careful with the 113 days. A listing disappearing does not establish that it sold, while a withdrawn and later relisted property can look new. Track the same address or distinctive photos rather than relying only on the displayed listing age.
 
I mean the tenant’s remaining term. The sample mixes vacant homes with occupied ones, which may be distorting my comparison. Good point on relisting: I have been counting visible days, not total marketing history. I’ll separate vacant, occupied, withdrawn and genuinely new entries before drawing conclusions.
 
Neighbourhood boundaries could still swamp that comparison. Two listings filed under the same broad area may sit on very different streets. I’d group them as tightly as your sample permits, then compare occupancy within each group rather than across all Buenos Aires.
 
Recent completed sales would be the useful anchor, but asking prices alone cannot provide them. Ask agents discussing a comparable whether it actually completed, was withdrawn, or merely went quiet. Even an incomplete answer is better than treating every disappearance as a quick sale.
 
Chloe’s revised categories should help. I’d add “occupancy unclear,” because forcing an uncertain listing into vacant or tenanted will recreate the same problem. Keep the original appearance date and any later price changes alongside the category.
 
I wouldn’t dismiss lease length too quickly. An occupied villa can appeal to a buyer seeking income but repel someone wanting to move in, so the same remaining term cuts both ways. The advertised rent and buyer’s intended use are missing from the current comparison.
 
Condition deserves its own column too. “Needs work” is not precise enough: cosmetic updating and major deferred work affect a buyer’s willingness to proceed very differently. At this price bracket, two similar-looking villas may not be remotely comparable once the work required is considered.
 
Because your range is recorded in ARS, note the date of every asking price and every reduction. Otherwise a later nominal price can be compared with an earlier one as though both were observed under identical conditions. That could muddy your price-cut timing.
 
Seller motivation may explain why some apparently imperfect properties move. A realistic seller can accept a negotiated figure early; another may leave an aspirational price unchanged for months. Days visible therefore says something about the seller as well as the building.
 
A simple sheet could now cover: tightly defined area, property type, condition, occupancy status, remaining lease if known, first-seen date, price-change dates and final outcome. I’d leave financing and motivation as unknown unless the listing or conversation gives a sound basis.
 
One more distinction on financing: whether a buyer needs it matters, but don’t assume a stale listing failed for that reason. Mark only observable events. Failed negotiations, financing problems and title issues can look identical from outside—the advertisement simply remains or disappears.
 
That is methodologically tidy, but perhaps too tidy for the actual buying decision. Chloe doesn’t need a perfect market model before making an offer. If one of the few acceptable villas is vacant, in good condition and has sat for 113 days or longer, that is already enough reason to test the seller.
 
Fair. The tracking exercise should inform an offer, not postpone one indefinitely. I’d ask the agent three direct questions: when it first came to market, whether it is currently occupied, and whether the asking price has changed. Evasive answers are information too, though not proof of anything.
 
For negotiating, compare the shortlisted villa with the closest active alternatives, then keep completed sales separate where their outcomes can be confirmed. Don’t average the whole ARS 862,400,000–ARS 1,294,000,000 bracket; its width, neighbourhood differences and property condition make that average hard to interpret.
 
The sensible conclusion seems narrower than the original theory: lease length may explain some stale occupied stock, but it cannot explain the vacant listings. Split the sample first, preserve withdrawn properties in the history, and watch when cuts occur. That should reveal whether 113 days reflects occupancy, condition, pricing, or simply relisting noise.
 
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