La Haute-Saint-Charles: The Median Falls While the Average Rises

Two indicators of the same sector, across the same two months, move in opposite directions. That is neither an error nor a curiosity: it is a signal, and it does not point where most readers assume. For another sector of the same Quebec City agglomeration, see our profile of Charlesbourg.

Four numbers, two months

In April 2026, single-family homes in La Haute-Saint-Charles show 87 sales, a median price of $455,000 and an average price of $473,291. In May 2026, they show 28 sales, a median of $447,450 and an average of $478,029.

Read the third column, then the fourth. Between the two months, the median falls and the average rises. Both describe the same segment, in the same sector, over the same transactions, and they do not point the same way.

What each one measures

The median is the midpoint: sort every sale in the month by price and keep the one in the centre. It is insensitive to extremes. Whether a property sells for three million or one million changes nothing about the midpoint, as long as it stays on the same side of it.

The average adds everything up and divides by the count. A single very high transaction pulls it upward, and the fewer the sales, the harder it pulls. That difference in construction is what makes their divergence informative: the median answers the question of the typical home, the average answers the question of total dollars exchanged.

What the divergence points at

When the median falls while the average climbs, the reading that holds is this: the mix of sales changed. The typical home of the month is more modest, and alongside it a handful of markedly more expensive transactions closed, weighing on the average without shifting the midpoint.

What the divergence does not point at is a move in the level of prices. A sector where every property appreciates sees both indicators rise together. A sector where every property softens sees both fall together. Here they separate, and two indicators that separate are talking about who is selling, not about what the housing stock is worth.

That is the exact opposite of what we measured in a South Shore town, where median and average move the same way across two consecutive months. That coherence indicates no handful of extreme transactions distorted the result. Comparing the two cases is instructive: it is the same pair of indicators that, depending on whether it converges or diverges, permits or forbids a conclusion about level.

The most economical explanation: volume

Before reaching for a market cause, look at the transaction count, and it is eloquent: 87 in April, 28 in May. The sample is cut by more than three.

On 87 sales the median is robust and the average, while poor at absorbing extremes, stays bracketed. On 28, both become sensitive to composition, and the average more so. The divergence observed is therefore fully consistent with a plain sample effect, with no price having moved at all. Nothing in these two months settles between that explanation and a real move, and we do not settle it.

Where the sector sits, and the August backdrop

The same source publishes the city of Quebec median for each of these months: $495,000 in April, $490,000 in May. La Haute-Saint-Charles sits roughly $40,000 below in April and 8.7% below in May. Across both measured months the sector stays more affordable than the city as a whole, and that is the steadiest fact in everything above.

For context, data published by APCIQ on September 4, 2026 gives 677 sales in August 2026 for the Quebec City CMA, up 6% year over year, its second-best August in 25 years behind August 2021, with the Quebec City agglomeration up 9%. Those changes measure completed sales, never prices, and they describe August, not the two months analysed here.

What a buyer or seller does with it

The lesson is a reading rule rather than a price. When you are handed two market figures, first check whether they point the same way. If they converge, the movement probably describes level. If they diverge, it describes composition, and a pricing decision taken on that basis would be correcting a variable the measurement does not measure.

Then always ask for the transaction count behind each figure. A median without its volume is incomplete information: that number is what tells you whether the figure describes a market or a handful of sales. Most market tables publish it, and most readers skip the column.

Three checks before setting a price

How many comparable properties are currently listed on your street and immediate surroundings, since those are your direct competitors. How long recent sales of the same type took to close inside that perimeter. And the price those sales actually closed at, never the price they were listed at.

Those three items describe your market. The four numbers at the top of this piece, each at its own date, describe its context — and mostly serve to show how two indicators are read against each other.