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Sainte-Thérèse, Laurentides

Population

Population (2016) 25,989
Variation in population between 2011 and 2016 0%
Population density 2,747 hab/km2
Unemployment rate (2016) 7%

Source: 2016 Census, Statistics Canada

Sainte-Thérèse, Laurentides

Total residential

2nd Quarter 2021 Last 4 Quarters
Sales
140 66 %
544 56 %
New Listings
168 86 %
616 54 %
Active listings
86 -4 %
81 -23 %
Volume (in thousand $)
55,999 106 %
198,979 99 %

Detailed Statistics per Property Category

Single-family

2nd Quarter 2021 Last 4 Quarters
Sales
45 21 %
183 28 %
Active listings
24 **
19 **
Median price
$454,000 26 %
$399,500 20 %
Average selling time (days)
21 -41
25 -29

Condominium

2nd Quarter 2021 Last 4 Quarters
Sales
66 78 %
253 51 %
Active listings
25 **
34 -27 %
Median price
$265,000 6 %
$250,000 19 %
Average selling time (days)
18 -110
33 -60

Plex (2 to 5 units)

2nd Quarter 2021 Last 4 Quarters
Sales
29 **
108 176 %
Active listings
36 50 %
27 **
Median price
** **
$495,500 45 %
Average selling time (days)
** **
63 -4

* 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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