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Mont-Tremblant, Laurentides

Population

Population (2016) 9,646
Variation in population between 2011 and 2016 2%
Population density 41 hab/km2
Unemployment rate (2016) 10%

Source: 2016 Census, Statistics Canada

Mont-Tremblant, Laurentides

Total residential

1st Quarter 2020 Last 4 Quarters
Sales
114 32 %
522 8 %
New Listings
180 30 %
721 -2 %
Active listings
484 -15 %
510 -19 %
Volume (in thousand $)
40,445 44 %
190,052 6 %

Detailed Statistics per Property Category

Single-family

1st Quarter 2020 Last 4 Quarters
Sales
31 -4 %
143 -7 %
Active listings
180 -13 %
191 -16 %
Median price
$304,000 52 %
$357,500 27 %
Average selling time (days)
205 -82
191 -58

Condominium

1st Quarter 2020 Last 4 Quarters
Sales
77 54 %
361 13 %
Active listings
291 -16 %
302 -21 %
Median price
$240,000 -16 %
$245,000 -3 %
Average selling time (days)
258 34
228 -22

Plex (2 to 5 units)

1st Quarter 2020 Last 4 Quarters
Sales
6 **
17 **
Active listings
12 **
15 **
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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