San Francisco listings around 60 days: market shift or online-stock bias?

[cairn.common]

I’m looking at San Francisco properties between $548,000 and $822,000, and the active sample seems to need roughly 60 days to find a buyer. The main outliers appear to have higher service charges. Renovated places move quickly; others get reduced and linger.

Before drawing conclusions, should I rely more heavily on recent completed sales? I’m concerned the listings still online overrepresent difficult stock, while withdrawn properties are missing entirely.

 

[AveryGray]

Yes, active listings create a distorted sample because the attractive, correctly priced homes disappear first. Compare original listing date and price with completed deals, but also record withdrawals and relistings where possible. Otherwise a property can vanish without a sale and make the market look faster than it is.

 

[OrlaIves]

A poorly defined sample could make the 60-day figure almost meaningless. The active-stock bias described above is real, but even a complete list will mislead if it combines different neighbourhoods, property types and charge levels across the $548,000 to $822,000 range.

For instance, an older unit with high monthly charges may face a much smaller financed-buyer pool than a similarly priced home in better condition. I would first divide this month’s new listings from older inventory, then compare each group with recent completed sales inside tight neighbourhood boundaries. That should show whether the pattern reflects the market or merely the properties left online.

 

[CleverTrail]

I’d be careful with the conclusion that renovation itself causes the quick sale. Renovated homes may simply be launched at more realistic prices by motivated sellers. Meanwhile, an unrenovated property can sit because the seller is testing the market, not because buyers reject the condition.

Financing may also change the picture: two similar-looking homes can attract different demand if one needs substantial work or carries charges that affect a buyer’s monthly budget.

 

[OrlaIves]

That seller-motivation point is important. A useful next pass would split the sample into completed, active, withdrawn and price-reduced properties, then note when each reduction happened. After that, compare only within the same neighbourhood, condition and charge band. If the 60-day pattern survives those divisions, it is much more meaningful than the raw portal average.