September 2025: are these Hong Kong duplex listings diverging or turning?

L

LuckyRoof

Property investor
I’ve been tracking a narrow set of Hong Kong duplex listings rather than the citywide average. Asking prices run from HK$2,371,000 to HK$3,557,000, and the current marketing period is roughly 119 days as of September 2025.

They are not moving together: some linger, while others change price or disappear. Local supply appears more relevant than the monthly headline. Is this ordinary property-level variation, or an early change in this particular segment? What would you monitor next?
 
I’d assume property-level variation until recent completed sales show the same pattern. Listings reveal seller intentions, not what buyers accepted. Compare each duplex with the closest completed sales you can find, then note whether the gap between asking and achieved prices is widening.
 
How did you calculate the 119 days—mean, median, or simply the age of a typical listing? One stale property can distort a small group. I’d also want to know whether these are within one tightly drawn neighbourhood or spread across areas that buyers may not consider substitutes.
 
The ones that disappear need their own column. A withdrawn listing is not equivalent to a completed sale, and repeated withdrawals could make the visible supply look healthier than it is. Can you distinguish sold, withdrawn and possibly relisted stock?
 
I wouldn’t dismiss the divergence as noise. In a narrow segment, listings often stop moving together before an aggregate figure changes. That still doesn’t tell you direction, though. Rising new-listing volume plus earlier price cuts would be more persuasive than 119 days alone.
 
Condition may explain much of it. Are you comparing renovated and dated properties as if they were interchangeable? Also note floor plan, usable space and obvious work required. Two similarly priced duplexes can present very different costs and inconvenience to a buyer.
 
Buyer financing could be another separator, although the details depend on the property and lender. A listing may attract interest but still struggle if buyers cannot make the numbers work. Asking agents whether deals reached an offer or financing stage might clarify why particular homes returned to market.
 
A seller may be calmly testing an ambitious price, or may need a deal but be constrained by buyer financing. A total of 119 days on the market does not distinguish between those situations, so neither explanation feels safe without the listing history.

I’d connect the financing point to a simple seller-behaviour check: record the date and amount of the first reduction, then ask whether any withdrawn listing had reached an offer or finance stage. Compare that timeline with any confirmed completed sales. The sequence of asking-price changes and agent feedback should tell you more about motivation than the overall marketing period alone.
 
Marco’s point about the calculation matters. With a small group, I’d report the full range of marketing times rather than compress everything into 119 days. Then separate original listings from relistings, as somedaymaybe suggested. Otherwise old stock can look new and withdrawn stock can look sold.
 
A simple event log would solve several of these problems: first seen, asking price, each cut, disappearance, reappearance and any confirmed completion. Add neighbourhood and condition. After a few observations you can see whether the divergence follows location, presentation or seller behaviour rather than guessing from one average.
 
Be strict with the neighbourhood boundaries. “Local supply” can become a circular explanation if the comparison area changes whenever a listing behaves differently. Define in advance which properties a plausible buyer would treat as alternatives, then keep that boundary fixed for the next update.
 
I agree on fixed boundaries, but I’d still avoid assuming all buyers see the same alternatives. A duplex needing work may compete with cheaper stock, not with a renovated duplex at a similar headline price. Financing and condition may interact rather than appearing as separate causes.
 
Completed sales will also be backward-looking relative to live listing changes, so I wouldn’t wait for them before noticing a possible shift. Use them as confirmation. For an early indication, watch whether fresh listings copy the older asking prices or arrive below them.
 
My next step would be a weekly snapshot for this exact group. Record new listings, withdrawals, cuts and confirmed sales without changing the inclusion rules. If several weeks show more additions than exits and cuts happening sooner, the case for a segment change becomes stronger.
 
One caution on that weekly snapshot: preserve the listing history. A property disappearing and returning should not restart at day one unless there is a genuine reason to treat it as new. Otherwise the apparent marketing period will shorten just when stale stock is accumulating.
 
Based on what’s here, I’d call it inconclusive but worth continuing. The useful test is whether the same pattern persists after controlling for relistings, condition, seller motivation and tightly defined location. If it does—and recent completed sales later follow—then it looks less like isolated variation.
 
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