Rio de Janeiro duplexes: -3.6% movement and 13 days on market

[mara_dove]

I can either treat the Rio figures as one broad market snapshot, which risks mixing unlike areas, or narrow the sample so far that very few duplexes remain. Neither gives me much confidence.

The listings I am following run from R$2,285,000 to R$3,427,000. They show movement of about -3.6% and a typical first status change after 13 days, although that may include withdrawals or relistings rather than sales. New-listing volume and neighbourhood boundaries could be distorting both measures.

My working idea is to separate duplex penthouses from other two-level units, group them by condition and building finances, then check whether price changes coincide with fresh competition or signs of seller urgency. Does anyone have a neighbourhood-level comparison, ideally with verified sale outcomes rather than asking data?

 

[SageDoor]

Reserves could explain part of it, but 13 days is not necessarily evidence of a completed sale. A listing might be withdrawn, relisted or temporarily taken down. I would separate verified sales from all other removals before attributing the discount to building finances. Also, is 13 days measured to the first status change or to a confirmed transaction?

 

[cedar.sunny]

How broad is the Rio sample? Combining different neighbourhoods can make the -3.6% look like a price change when it is really a change in the mix of listings. I’d also separate duplex penthouses from other two-level units, then group them by renovation condition. Otherwise the building-reserve effect will be difficult to isolate.

 

[SageDoor]

Agreed on splitting the sample. At minimum I’d track neighbourhood, duplex type, initial asking price, current asking price, days until the first cut, and whether the final status was sold, withdrawn or unknown. Building reserves should be recorded separately from the unit’s condition; a renovated interior does not answer questions about the wider building.

 

[nova_checks]

I’m less convinced that reserves are the main driver. Buyer financing and seller motivation can produce the same visible pattern: a well-maintained property may still be cut quickly if the seller needs certainty, while a weaker property can remain overpriced. Without completed prices, the evidence may show listing strategy more than actual demand.

 

[yuki_north]

One practical route is to follow a small set of listings rather than expanding the sample. Save each price change and date, note withdrawals and watch for relisting. Then ask agents about recent completed sales that are genuinely comparable, while treating unsupported figures cautiously. That should reveal whether the 13-day figure reflects fast deals or simply fast listing turnover.

 

[cyclesAndCompass]

What exactly moved by -3.6%: the median asking price, the same listings after reductions, or an estimate of negotiated prices? Those are three different signals. If new-listing volume changed during the period, the median could fall even with no individual seller cutting a price.

 

[nova_checks]

That definition is crucial. If -3.6% comes from repeated observations of the same properties, it can be analysed alongside price-cut timing. If it is a changing median, neighbourhood and condition mix must come first. I’d publish both where possible and leave completed-sale movement unspecified until there is evidence for it.