I’m looking at four-bedroom Atlanta properties listed between $328,000 and $492,000 this month. My active-listing sample is sitting at roughly 88 days before finding a buyer, with the slowest cases seemingly affected by financing costs. Is that broadly consistent with recent completed sales, or am I overweighting older homes that remain online while quicker deals disappear from view?
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Atlanta four-beds: is 88 days a real market signal or an active-listing bias?
- Thread starter sunny_pine
- Start date
Active listings will naturally skew older because the fast movers leave the sample. I’d compare them with recently completed deals and also count withdrawn properties; otherwise a stale listing that never sells looks like evidence of a normal 88-day sale. Price cuts matter too: original list date versus the date a meaningful reduction brought in a buyer can tell different stories.
Before drawing conclusions from the 88-day figure, I would settle the geographic boundary. “Atlanta” can combine neighbourhoods with very different buyer pools, so I am not convinced active-listing bias is the main problem yet.
Condition also needs its own split. A renovated four-bedroom home and one needing major work are not close alternatives merely because both sit within the $328,000 to $492,000 range. Financing eligibility can widen that difference further. I would narrow the area and condition first, then compare completed sales and price-cut dates.
Condition also needs its own split. A renovated four-bedroom home and one needing major work are not close alternatives merely because both sit within the $328,000 to $492,000 range. Financing eligibility can widen that difference further. I would narrow the area and condition first, then compare completed sales and price-cut dates.
I wouldn’t assume financing costs explain most of the outliers without seeing when offers arrived. Seller motivation can produce the same pattern: an ambitious initial price, several quiet weeks, then a cut. Conversely, a well-priced home may still take longer if the likely buyers are especially payment-sensitive. Completed prices and price-cut timing should help distinguish those cases.
A useful next pass would be three small groups within the same neighbourhood boundaries: completed sales, still-active listings and withdrawals. Record original price, latest price, condition and days until the first cut. Then note new-listing volume during the month. That won’t make the sample perfect, but it should show whether 88 days reflects buyer demand or simply the stock left behind.