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Sainte-Julienne, Province of Québec

Population

Population (2016) 9,953
Variation in population between 2011 and 2016 7%
Population density 100 hab/km2
Unemployment rate (2016) 7%

Source: 2016 Census, Statistics Canada

Sainte-Julienne, Province of Québec

Total residential

3rd Quarter 2019 Last 4 Quarters
Sales
46 21 %
185 1 %
New Listings
71 20 %
318 13 %
Active listings
127 9 %
132 0 %
Volume (in thousand $)
8,162 29 %
34,231 9 %

Detailed Statistics per Property Category

Single-family

3rd Quarter 2019 Last 4 Quarters
Sales
44 22 %
180 1 %
Active listings
121 11 %
125 0 %
Median price
$171,500 17 %
$178,750 13 %
Average selling time (days)
90 -23
105 -21

Condominium

3rd Quarter 2019 Last 4 Quarters
Sales
** -100 %
** -100 %
Active listings
** **
** -100 %
Median price
** -100 %
** -100 %
Average selling time (days)
** -22
** -22

Plex (2 to 5 units)

3rd Quarter 2019 Last 4 Quarters
Sales
2 0 %
4 100 %
Active listings
6 0 %
6 20 %
Median price
$110,000 0 %
$163,000 -19 %
Average selling time (days)
245 245
142 -7

* 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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