Phoenix listings: what explains the gap after 33 days?

[anika_vale]

The main constraint is getting asking and completed-sale records onto the same timeline. My Phoenix sample is mostly detached homes priced from $212,000 to $318,000, and the typical listing has been visible for 33 days, but that may not represent its full marketing history.

I initially wondered whether property tax explained why one home sells while a seemingly similar one lingers. I now suspect condition, financing, a neighbourhood boundary or seller motivation may be doing more of the work. The timing of price cuts could be important too: a reduction after a week may signal something different from one after two months.

How would you treat properties that are withdrawn and relisted, and which recent completed sales would you regard as genuinely comparable? I am trying to separate those effects before drawing anything from the 33-day figure.

 

[celine.cole]

Property tax could affect the buyer’s monthly cost, but I wouldn’t use it as the main explanation without comparing otherwise similar homes. A renovated house on one street and a tired house near a busier road can produce very different outcomes inside the same price bracket. Start by separating location and condition before testing the tax idea.

 

[AmaraLane]

How are you counting those 33 days? If it means time since the current listing appeared, withdrawals and relistings could make older stock look new. Also, are your completed sales from homes listed during the same period, or are you comparing today’s active listings with deals negotiated under different conditions?

 

[RealMoss]

I’d build cohorts rather than one Phoenix-wide average: newly listed, still active after several weeks, price reduced, withdrawn, and completed. Then split those by narrower areas and property condition. The $212,000 to $318,000 range may contain several distinct buyer pools, so one typical marketing period can hide more than it reveals.

 

[GoodSignal]

I wouldn’t dismiss the tax theory entirely. Buyers often react to the total monthly payment rather than the headline price, so two equally priced homes need not feel equivalent. But tax should be considered alongside financing, insurance and any recurring property charges. Otherwise it risks becoming the explanation simply because it is visible.

 

[SimpleLane]

Neighbourhood boundaries are probably doing a lot of work here. “Phoenix” is useful for searching, but not necessarily for comparing. Try matching completed sales within the smallest practical area and avoid crossing obvious changes in housing type or surroundings. If the quick and slow listings separate geographically, that tells you more than the city-level figure.

 

[esme.snow]

New-listing volume matters too. Thirty-three days can mean weak demand, or merely that buyers have plenty of fresh alternatives arriving. Track how many comparable homes appeared after each stale listing. A house may be reasonably priced against older stock and still lose attention when cleaner or better-presented options keep entering the market.

 

[RealMoss]

Ibrahim’s point about relisting is crucial. I’d preserve the first date you observed each address, even if the listing disappears and returns with new photos or a different price. Record gaps separately rather than resetting the clock. That won’t reveal every earlier attempt, but it keeps your own sample internally consistent.

 

[RightRoom]

Condition needs more detail than renovated versus not renovated. Buyers may tolerate cosmetic work but hesitate over items that are difficult to price before an inspection. Listing photos also conceal plenty. Compare visible condition signals, wording about repairs, and whether a price cut follows a period with no obvious change to the property.

 

[harbor.small]

Price-cut timing can reveal seller motivation. A reduction soon after listing suggests a different strategy from a small cut after a long wait. I’d note the number of cuts, days to first cut and total reduction, then compare those homes with withdrawals. Some stale listings may simply belong to sellers who are unwilling or unable to meet the market.

 

[nova_young]

Be careful with completed sales as a supposedly clean answer. The closing price is useful, but the relevant comparison starts when that home was listed and negotiated. Match its original condition, location and listing period to your active sample. Otherwise a completed sale can look current while reflecting an earlier buyer decision.

 

[kai_cole]

Financing may also divide this bracket in ways the asking prices do not show. Rather than assuming every reduction signals low demand, watch for listings that return after going pending or disappear without a recorded completion. You may not know why a deal failed, but treating those separately from continuously active homes will avoid a misleading conclusion.

 

[gardensAndCorner]

Before deciding whether the 33-day figure supports any action, I would track each address rather than rely on the current advert. Record the first date seen, original and latest asking prices, reduction dates, status changes, relisting gaps, immediate area, visible condition and completed price when one appears.

That lets you compare two different outcomes: homes that sold quickly without major changes and homes that went stale, were cut or returned after disappearing. Keep failed or uncertain transactions separate from continuously active listings. If property tax still distinguishes close matches after condition, location and listing history are controlled, it becomes a more credible explanation.