Miami townhouse snapshot for October 2025: what sits behind the headline figures?

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Seller
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I’m assembling an October 2025 snapshot for Miami townhouses. The current discussion figures are 69 days on market, asking-price movement of -4.8%, and visible financing sensitivity around the $730,000 price band.

These are indicative inputs, not an official index. Before revising the summary, I’d like to pin down the sample definition and whether the price movement means reductions from original asking prices or a change in the overall asking-price level. Completed-sale evidence, inventory changes, neighbourhood splits, links and revision dates would all help.
 
The 69-day figure is hard to interpret without knowing which listings remain in the sample. Does it include properties that were withdrawn and relisted, or only active and completed listings? Relisting can make marketing time look shorter. I’d also separate median days to contract from days to closing if both are available.
 
I’d prioritise completed sales over current asking prices, but match them by contract period rather than closing month where possible. An October closing may reflect a price agreed earlier. Showing sale price against both original and final list price would also clarify whether the -4.8% represents seller reductions or buyer negotiation.
 
I’m not convinced completed sales should dominate this particular snapshot. They are useful but backward-looking, while active-listing reductions can show changing seller expectations sooner. The answer may be to present both series rather than replacing one with the other, with clear dates for each.
 
Neighbourhood splits could still mislead if the price-band mix changes. A month with more townhouses near $730,000 may look weaker or stronger simply because the sample composition shifted. Could the update show counts by neighbourhood and broad price band, even if some groups are too small for a separate percentage?
 
For inventory, I’d record active listings at the start and end of the period, plus new listings, pending transactions, completed sales and withdrawals during October. A single end-of-month total cannot show whether supply accumulated or merely turned over. It would also help to identify whether condos or detached homes have slipped into the townhouse sample.
 
A compact table would settle most of this: area, price band, property type, listing count, completed-sale count, median marketing time, original-to-final ask change, and final-list-to-sale difference. Add the date each figure was retrieved and a link where available. If the $730,000 financing effect is observational rather than measured, label it that way instead of presenting it as a threshold.
 
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