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Mauricie

Population

Population (2016) 266,112
Variation in population between 2011 and 2016 1%
Population density 7 hab/km2
Unemployment rate (2016) 8%

Source: 2016 Census, Statistics Canada

Mauricie

Total residential

4th Quarter 2019 Last 4 Quarters
Sales
592 26 %
2,486 15 %
New Listings
845 -3 %
3,885 1 %
Active listings
1,637 -11 %
1,784 -5 %
Volume (in thousand $)
92,763 28 %
387,369 23 %

Detailed Statistics per Property Category

Single-family

4th Quarter 2019 Last 4 Quarters
Sales
460 24 %
1,982 15 %
Active listings
1,187 -10 %
1,293 -6 %
Median price
$145,000 3 %
$146,750 7 %
Average selling time (days)
100 -11
101 -11

Condominium

4th Quarter 2019 Last 4 Quarters
Sales
42 44 %
158 25 %
Active listings
99 -24 %
125 -15 %
Median price
$135,500 -5 %
$138,950 -1 %
Average selling time (days)
115 -16
120 -19

Plex (2 to 5 units)

4th Quarter 2019 Last 4 Quarters
Sales
86 26 %
324 12 %
Active listings
317 -9 %
335 2 %
Median price
$135,500 4 %
$132,250 1 %
Average selling time (days)
95 -28
132 -5

* 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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