
Calgary Real Estate Statistics
This daily updated page contains some of the most comprehensive real estate statistics for Calgary, providing you with a transparent view of the housing market.
Jump to:
Daily: Calgary Real Estate MLS® Statistics (Single Family Homes & Condos)
Month-end Statistics: (Average / Median Prices / Total Sold Stats, etc)
Month-end: Million Dollar Plus Sales Stats
Month-end: Price / ft2, Average ft2 Sales Stats
New Housing Price Index: Statistics Canada
Teranet-National Bank House Price Index
Calgary Inventory By Price Range (links to Bob Truman, First Place Realty)
Calgary Absorption Rate By Price Range (links to Bob Truman, First Place Realty
Source for all stats: Calgary Real Estate Board MLS® Database. All information herein deemed reliable but not guaranteed. For official CREB statistics, please visit creb.com
Did you miss some of the "Sales of the Day" ?
Sign up for my Market Snapshot for much more detailed information including addresses, sales going over a month back, and narrowed down to your community of choice!
***Median price discrepancy: In the case of an even amount of sales, CREB does all their median calculations where they take the lower of the two median sales instead of producing the average like I do. In the monthly statistics, however, CREB accurately calculates the median.
Legend: LP = List Price, SP = Sale Price, DOM = Days On Market, SFH = Single Family Home, Vacant and/or New Construction is number of Unoccupied listings and is included in the Total Active Listings.
Foreclosure / Judicial Sale number is approximate, and only includes those listed on MLS®
Legend: LP = List Price, SP = Sale Price, DOM = Days On Market, SFH = Single Family Home, Vacant/New Construction number is included in the Total Active Listings.*Foreclosure / Judicial Sale number is approximate, and only includes those listed on MLS®
Calgary Real Estate Stats: Month-end Statistics
You may have noticed that month-end figures have not been matching what was previously released in CREB's stat packages. Here is the reason why:
``In the past the monthly stats packages does not reflect up-to-date changes that naturally occur, however the year to date figures reflected the database at that specific point in time. This often created a disconnect between the year to date figures and the sum of the monthly figures. In order to improve on data accuracy, all figures include in each monthly report will reflect the most up to date and accurate figures including the historic data.``
It`s usually only a difference of a few sales each month, but that obviously impacts average and median prices. Below is the link to the official CREB Month-end statistics that are updated and accurate to the most recent month. I will update the link every month.
CLICK HERE to view OFFICIAL MONTH-END stats
Last updated: Jan 3, 2012 (Opens in new google doc window)
However, I will keep posting the figures as they were presented in each respective month`s stat package from CREB. While these are not necessarily the current updated official figures - they were at the time they were released.
Calgary High-End Luxury Market Sees Resurgence (August 2011)
Is the luxury segment reflective of true market conditions?
Top Calgary MLS Sales (August 2009)
Calgary Million Dollar Sales Statistics (March 2010)
There are two ways to calculate average price / sq foot.
Simple Calculation Method: Take the total sq feet sold and divide by the total average price
Correct Calculation Method: Take the average price / sq foot of each home individually, and then take the average of all those numbers.
Example:
2 homes sell.
Home #1: 1000 sq feet, price: $300,000
Home #2: 1500 sq feet, price $350,000
Using the simple calculation we would get: $260/ sq ft ($650,000/2500 sqft)
However, if we were to calculate it correctly:
Home #1: $300/sq foot ($300k/1000 sq ft)
Home #2: $233/sq foot ($350k/1500 sq ft)
Average Price / Sq ft = $266.50 (($300 $233)/2)
Same numbers, different calculation methods, different results.
So the numbers recorded in the daily stats is the Price/Sq ft calculated using the second, Correct Calculation method. In the month-end stats, the numbers in the brackets are the numbers using the second Correct Calculation method.
NOTE: Only the above grade square footage is included for the calculation of the Price Per Square Foot stat. Two homes might have the exact same above grade square footage, but one might have a developed basement. The one with the developed basement will probably sell for a premium, and will have a higher $ / sq ft amount, even though the above grade square footage is the same. So the square footage stat assumes that the same mix of homes (developed, undeveloped basements, etc) is represented throughout each month to give us a rough estimate of what the trend is.
New Housing Price Index: Statistics Canada
The NHPI measures changes over time in the selling prices of new residential houses agreed upon between the contractor and the buyer at the time of the signing of the contract. It is designed to measure the changes in the selling prices of new houses where detailed specifications pertaining to each house remain the same between two consecutive periods. The prices collected from builders and included in the index are market selling prices less value added taxes, such as the Federal Goods and Services Tax (GST) or the Harmonized Sales Tax (HST).
Note: With the publication of the December 2010 reference month scheduled for February 10, 2011, the base year of the New Housing Price Index (NHPI) will be changed from 1997 to 2007.
Teranet-National Bank House Price Index
The Teranet – National Bank House Price Index™ is an independent representation of the rate of change of Canadian single-family home prices. The measurements are based on the property records of public land registries. The monthly indices cover six Canadian metropolitan areas: Vancouver, Calgary, Toronto, Ottawa, Montréal and Halifax. The metropolitan areas are combined to form a national composite index.
The Teranet – National Bank House Price Index™ is estimated by tracking the observed or registered home prices over time. Properties with at least two sales are required in the calculations. Such a “sales pair” measures the increase or decrease of the property value in the period between the sales in a linear fashion. The fundamental assumption of the constant level quality of each property makes possible the index calculation but imposes difficulties in selecting (or filtering) those properties that satisfy it. This difficulty arises from the lack of information about the property, and only the amount of price fluctuations versus time may provide an indication on possible changes in the physical characteristics of the property or non-arms-length transaction. Such properties may not be included in the estimation process.
Calgary Real Estate Monthly MLS ® Statistics ![]()
Please contact me if you’d like any of the past Calgary MLS ® Monthly Statistics not currently available on CREB. Thanks!