District of North Saanich Real Estate
Most Popular
1850 Lands End Rd
$18,800,000
Macdonald Realty Ltd. (Sid)
Most Expensive
1850 Lands End Rd
$18,800,000
Macdonald Realty Ltd. (Sid)
Least Expensive
1300 Maple Rd
$1699000
DFH Real Estate - Sidney
District of North Saanich Listings Summary
District of North Saanich - Town vs. County Stats
Avg Price in District of North Saanich: $4,523,000 / County Avg $4,523,000
50%
Avg Taxes in District of North Saanich: $11,800 / County Avg $11,800
50%
Avg Sq. Ft. in District of North Saanich: 4,251 / County Avg 4,251
50%
Avg Price per/sqft in District of North Saanich:$1064 / County Avg $1064
100%
Avg Walkscore in District of North Saanich: 5 / County Avg 5
50%
Avg Year Built in District of North Saanich: 2001 / County Avg 2001
50%
Avg Days on Website in District of North Saanich: 121 / County Avg 121
50%
District of North Saanich Real Estate Market Health
New Listings
Foreclosures
Short Sales
| Areas in District of North Saanich BC |
|---|
| North Saanich |
| Neighborhoods in District of North Saanich BC |
|---|
| NS Bazan Bay |
| NS Dean Park |
| NS Deep Cove |
| NS Lands End |
| NS Swartz Bay |
Data provided by: Victoria Real Estate Board 3035 Nanaimo Street, Victoria, British Columbia V8T 4W2
All information displayed is believed to be accurate but is not guaranteed and should be independently verified. No warranties or representations are made of any kind.
The trademarks REALTOR®, REALTORS® and the REALTOR® logo are controlled by The Canadian Real Estate Association (CREA) and identify real estate professionals who are members of CREA. The trademarks MLS®, Multiple Listing
All information deemed reliable but not guaranteed. All properties are subject to prior sale, change or withdrawal. Neither listing broker(s) or information provider(s) shall be responsible for any typographical errors, misinformation, misprints and shall be held totally harmless. Listing(s) information is provided for consumer's personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. The data relating
