Seoul townhouses: is condition driving the spread despite a 2.4% movement?

[bikesAndEcho]

I’m deciding whether to wait for broader price weakness or concentrate on negotiating against townhouses needing maintenance. My Seoul watchlist runs from ₩1,032,000,000 to ₩1,548,000,000. The snapshot shows a 2.4% movement and roughly 103 days on market, yet the saved listings are not moving together at all.

My working view is that condition and likely maintenance are creating more of the spread than headline demand. Does that hold up? If sharing a comparison, please identify the Seoul neighbourhood and whether it is actually a townhouse rather than another property type.

 

[knitsAndAtlas]

Condition could explain part of it, but 103 days across Seoul is too broad to settle the question. What does the 2.4% figure measure—asking prices, completed prices or reductions on current listings? Also, which neighbourhoods are in your watchlist? Different boundaries could make this look like one market when it is several.

 

[lookTheRiver]

I would not put maintenance first without checking financing and recent completed sales. At this price range, two similar-looking townhouses can attract different buyer pools depending on how much work must be funded after purchase. A stale asking price only shows what the seller wants; the completed price tells you whether buyers actually penalised the condition.

 

[RedPaper]

The average may also conceal a split between fresh stock and listings that have lingered or been withdrawn and relisted. How many properties produced the 103-day figure? I’d compare only the same property type within tight neighbourhood boundaries, then note original listing date rather than relying solely on the current advertisement.

 

[knitsAndAtlas]

A simple tracking sheet would help: neighbourhood, townhouse subtype, first asking price, current price, first-seen date, visible maintenance needs, and whether the listing disappears. Then add nearby completed sales where available. If reductions cluster shortly before a sale, that is more informative than the citywide 2.4% movement.

 

[lookTheRiver]

One caveat: visible maintenance can become an easy explanation for every discount. Seller motivation may matter just as much. An immaculate townhouse with an inflexible seller can sit for 103 days, while a tired one priced realistically can move sooner. I’d record the timing and size of each cut, not just condition.

 

[WildBrick]

Before choosing between waiting and negotiating, separate the watchlist into three groups: no cut, cut but still active, and withdrawn or completed. Within each group, compare only townhouses in the same small area and price bracket. If maintained and unmaintained homes then show different outcomes, the condition theory gains support. If outcomes instead follow financing sensitivity or seller price cuts, the headline average is masking the real driver.