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Bromont, Province of Québec

Population

Population (2016) 9,041
Variation in population between 2011 and 2016 18%
Population density 79 hab/km2
Unemployment rate (2016) 4%

Source: 2016 Census, Statistics Canada

Bromont, Province of Québec

Total residential

3rd Quarter 2019 Last 4 Quarters
Sales
69 40 %
234 24 %
New Listings
126 -3 %
411 1 %
Active listings
258 13 %
251 1 %
Volume (in thousand $)
25,992 70 %
79,042 14 %

Detailed Statistics per Property Category

Single-family

3rd Quarter 2019 Last 4 Quarters
Sales
35 6 %
110 -13 %
Active listings
120 9 %
111 -16 %
Median price
$368,500 27 %
$348,875 0 %
Average selling time (days)
117 -5
114 -81

Condominium

3rd Quarter 2019 Last 4 Quarters
Sales
34 112 %
123 101 %
Active listings
135 15 %
137 20 %
Median price
$282,500 15 %
$270,000 7 %
Average selling time (days)
227 -6
203 -122

Plex (2 to 5 units)

3rd Quarter 2019 Last 4 Quarters
Sales
** **
1 0 %
Active listings
1 0 %
1 0 %
Median price
** **
$185,000 0 %
Average selling time (days)
** **
86 86

* 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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