Vancouver detached sample up 1.4% — how should transaction costs affect the comparison?

C

cairn.common

First-time buyer
Established
Either I treat the +1.4% movement as evidence that Vancouver detached homes are firming, or I dismiss it as noise from an uneven group. Neither feels safe when the properties range from C$799,200 to C$1,199,000 and the median time on market is about 55 days.

Condition varies enough to affect the comparison, while agents disagree on how much seasonality explains. I also do not know whether buyer behaviour around transaction costs is visible in the offer price, in specific concessions, or simply in buyers choosing a different home. For example, a lower-priced house needing work may carry a heavier total burden than a more expensive one in better condition.

Before reading much into the percentage, should I split the sample by neighbourhood and condition, then check price-cut timing, buyer financing and new-listing volume? What would best distinguish a firmer market from a change in the mix of homes?
 
First clarify what you mean by transaction fees. Some costs are tied to the transaction or buyer’s financing, while others may be part of negotiations between the parties. Buyers are more likely to express the total burden through their offer price and conditions than argue over a vague bundle called “fees.” Compare completed sales, not just asking prices.
 
The neighbourhood boundaries may be doing more damage to the sample than condition. Detached homes at C$799,200 and C$1,199,000 can represent very different locations and buyer pools even though both are labelled Vancouver. Were all the properties within Vancouver proper, and did the +1.4% compare like-for-like homes or simply the first and last observations?
 
I wouldn’t read 55 days as proof of either strength or weakness without separating sold, active and withdrawn listings. A house that sat, cut its price and then sold is different from one withdrawn after 55 days. New-listing volume matters too: modest completed sales can look strong when owners are holding stock back.
 
Also split renovated homes from those needing substantial work. Condition is not merely statistical noise; it changes the financing and renovation burden for the buyer. If the lower-priced properties need work, a headline +1.4% movement may conceal flat or falling values after accounting for those differences.
 
There’s a contrary possibility: buyers may not move on simply because costs are high if suitable detached inventory is limited. They may instead lower the offer, ask for a condition, or stretch the search area. Seller motivation is crucial. A vacant property with repeated cuts is not comparable to an owner who can wait indefinitely.
 
How was “marketing time” measured? If a listing was withdrawn and returned, the visible count may restart even though buyers have seen it for much longer. I’d record the original appearance, every price cut, any withdrawal, and the eventual completed-sale price. That timeline will be more informative than one median.
 
On reflection, I’d also avoid treating seasonality as a single explanation. New listings, financing capacity and seller urgency can change together. Group the sample by listing month, but don’t conclude that month caused the result. With a small sample, one well-presented sale could move the +1.4% figure noticeably.
 
For the fee question, build a buyer-side total-cost worksheet for each home using only costs confirmed for that particular purchase and financing situation. Then set a maximum offer from the total, rather than expecting the seller to negotiate every line item. Which costs can be shifted is transaction- and jurisdiction-specific, so vague agent answers may reflect different assumptions.
 
I agree with separating total cost from the negotiation language, but completed sales still need close matching. I’d use nearby sales of similar lot, size and condition, then note whether the subject listing cut its price before day 55. If it has had no cut and the seller is patient, fee-related concessions seem less likely than a straightforward lower offer.
 
Track the listings, but keep the market-flow figures separate. Combining new supply with price movement could make the +1.4% look meaningful when a few different homes have merely entered the sample.

For each property, I’d record neighbourhood, condition, original and latest price, days since first listing, any cut before day 55, and whether it sold or was withdrawn. Add a confirmed completion price where available. Then compare new-listing volume on its own. The hardest error to undo is treating a change in property mix as a genuine rise in values.
 
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