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Magog, Province of Québec

Population

Population (2016) 26,669
Variation in population between 2011 and 2016 5%
Population density 185 hab/km2
Unemployment rate (2016) 7%

Source: 2016 Census, Statistics Canada

Magog, Province of Québec

Total residential

4th Quarter 2020 Last 4 Quarters
Sales
157 74 %
494 34 %
New Listings
130 19 %
494 -4 %
Active listings
111 -56 %
166 -40 %
Volume (in thousand $)
53,165 76 %
167,602 56 %

Detailed Statistics per Property Category

Single-family

4th Quarter 2020 Last 4 Quarters
Sales
85 66 %
299 27 %
Active listings
64 -53 %
96 -38 %
Median price
$299,000 13 %
$289,900 18 %
Average selling time (days)
42 -101
99 -24

Condominium

4th Quarter 2020 Last 4 Quarters
Sales
55 103 %
154 50 %
Active listings
27 **
45 -48 %
Median price
$210,000 22 %
$210,000 21 %
Average selling time (days)
45 -99
73 -68

Plex (2 to 5 units)

4th Quarter 2020 Last 4 Quarters
Sales
17 **
41 36 %
Active listings
18 **
22 **
Median price
** **
$227,000 1 %
Average selling time (days)
** **
175 40

* Only the following 14 municipalities are considered in the compilation of these statistics: Coteau-du-Lac, Hudson, Les Cèdres, Les Coteaux, L’Île-Cadieux, L’Île-Perrot, Notre-Dame-de-l’Île-Perrot, Pincourt, Pointe-des-Cascades, Saint-Lazare, Saint-Zotique, Terrasse-Vaudreuil, Vaudreuil-Dorion and Vaudreuil-sur-le-Lac.

** Insufficient number of transactions to produce reliable statistics

The statistical data presented on this page provide an overall picture of the real estate market in a given area, but are not a reflection of each individual property. To obtain an estimate of your property’s market value, contact a real estate broker. Their training and advanced tools enable them to perform a comparative market analysis in order to establish a fair price.

Notes:

  1. The residential total includes single-family homes, condominiums, plexes (2 to 5 units) and hobby farms.
  2. The rates of change are calculated in relation to the same quarter of the previous year.
  3. The median sale price is that which divides all transactions into two equal parts: half of all transactions were at a lower price than the median price and the other half were at a higher price.
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