Bois-des-Filion, Montréal (North Shore)

Population

Population (2016) 8,894
Variation in population between 2011 and 2016 -6%
Population density 2,108 hab/km2
Unemployment rate (2016) 6%

Source: 2016 Census, Statistics Canada

Bois-des-Filion, Montréal (North Shore)

Total residential

1st Quarter 2020 Last 4 Quarters
Sales
68 41 %
221 30 %
New Listings
66 -15 %
252 0 %
Active listings
60 -32 %
65 -20 %
Volume (in thousand $)
18,770 59 %
60,615 40 %

Detailed Statistics per Property Category

Single-family

1st Quarter 2020 Last 4 Quarters
Sales
32 28 %
116 13 %
Active listings
27 **
27 **
Median price
$292,750 18 %
$280,000 9 %
Average selling time (days)
38 -8
52 -4

Condominium

1st Quarter 2020 Last 4 Quarters
Sales
33 50 %
95 55 %
Active listings
31 -23 %
34 3 %
Median price
$230,000 -1 %
$207,000 4 %
Average selling time (days)
99 14
86 11

Plex (2 to 5 units)

1st Quarter 2020 Last 4 Quarters
Sales
3 **
10 **
Active listings
2 **
3 **
Median price
** **
** **
Average selling time (days)
** **
** **

* 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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