Canada Mortgage and Housing Corporation (CMHC) conducts a survey of the Secondary Rental Market (SRMS)1 in September and October to estimate the relative strengths in the secondary rental market which is defined as those dwellings not covered by the regular RMS.

CMHC has identified the following dwelling components to be included in SRMS:

  • Rented single-detached houses.
  • Rented double (semi-detached) houses (i.e.. Two units of approximate equal size and under one roof that are situated either side-by-side or front-to-back).
  • Rented freehold row/town homes.
  • Rented duplex apartments (i.e. one-above-other).
  • Rented accessory apartments (separate dwelling units that are located within the structure of another dwelling type).
  • Rented condominiums (can be any dwelling type but are primarily apartments).
  • One or two apartments which are part of a commercial or other type of structure.

The SRMS has three components which are conducted in selected CMAs:

  • A Household Rent Survey of all households to collect information about rents and provide an estimation of the number of renter households residing in the dwelling types noted above. (Discontinued in 2017)
  • A Condominium Apartment Rent Survey of households living in condominium apartments to collect information about rents. (Discontinued in 2017)
  • A Condominium Apartment Vacancy Survey of condominium apartment owners to collect vacancy information. (As of 2017, the Condo Apartment Survey collects vacancy and rent information from condominium apartment owners and provides an estimate of the number of condominium apartment units used for rental. )

All three surveys are conducted by telephone interviews. For the condominium apartment vacancy survey, information is obtained from the owner, manager, or building superintendent and can be supplemented by site visits if no telephone contact is made. For the other two surveys, information is collected from an adult living in the household.

All surveys are conducted in September and October, and the results reflect market conditions at that time.

CMHC publishes the number of units rented and vacancy rates for the condominium vacancy survey. For the condominium rent and household rent surveys, the average rent is published. A letter code representing the statistical reliability (i.e., the coefficient of variation (CV)) for each estimate is provided to indicate the data reliability.

Rented condominium apartments are surveyed in the following CMAs: Vancouver, Victoria, Calgary, Edmonton, Regina, Saskatoon, Winnipeg, Toronto, Ottawa, Montréal and Québec. Other secondary rental market units were surveyed in Abbotsford-Mission, Barrie, Calgary, Edmonton, Halifax, Montreal, Ottawa, Quebec, St. John’s, Toronto, Winnipeg, Regina, Saskatoon, Kelowna, Vancouver and Victoria.

Data Reliability Measures

CMHC does not publish a statistic if its reliability is too low or if publication of a statistic would violate confidentiality rules:

For confidentiality, unit counts (universe) are released; however, all other estimates - such as vacancy rates and average rent - are released only if a given estimate is based on four or more responding entities.

For reliability, the ability to publish an estimate is determined by the coefficient of variation (CV) for that estimate. A letter code representing the statistical reliability (i.e., the coefficient of variation (CV)) for each estimate is provided to indicate the data reliability. CV of an estimate is defined as the ratio of the standard error of the estimate to the estimate itself and the CV is generally expressed a percentage. For example, let the average rent for one bedroom apartments in a given CMA be x̄ and its standard error be σ. Then the Coefficient of Variation is given by CV = σ / x̄.

Reliability Codes for Proportions

CMHC uses CV, sampling fraction and universe size to determine the ability to publish proportions. The following letter codes are used to indicate the level of reliability of proportions:

  • A — Excellent
  • B — Very good
  • C — Good
  • D — Poor (use with caution)
  • ** — Data suppressed

The following two tables indicate the level of reliability of proportions:

If the proportion is zero (0) and the sampling fraction is less than 100% then the following levels are assigned:

Sampling Fraction (%) range
Structures in Universe (0,20]* (20,40] (40,60] (60,80] (80,100)
3 – 10**** ** ** **
11 – 20**Poor PoorPoorGood
21 – 40**Poor PoorGoodVery Good
41 – 80**Poor GoodGoodVery Good
81+** Good GoodVery GoodVery Good

*(0, 20] means sampling fraction is greater than 0% but less than or equal to 20%; others are similar

Otherwise, the following table is used to determine the reliability level of proportions:

Coefficient of Variation (CV) %
Percentage 0 (0, 5] (5, 10] (10, 16.5] (16.5, 33.3] (33.3, 50] 50+
(0, 0.75)ExcellentExcellentExcellentExcellentExcellentV. GoodV. Good
(0.75, 1.5)ExcellentExcellentExcellentExcellentExcellentPoor**
(1.5, 3)ExcellentExcellentExcellentV. GoodGood****
(3, 6)ExcellentExcellentV. GoodGoodPoor****
(6, 10)ExcellentExcellentV. GoodGood******
(10, 15)ExcellentExcellentGoodPoor******
(15, 30)ExcellentExcellentPoor********
(30, 100)ExcellentExcellent**********

Reliability Codes for Averages and Totals

CMHC uses the CV to determine the reliability level of the estimates of average rents and a CV cut-off of 10% for publication of totals and averages. It is felt that this level of reliability best balances the need for high quality data and not publishing unreliable data.

CMHC assigns a level of reliability as follows (CV’s are given in percentages):

  • A — If the CV is greater than 0 and less than or equal to 2.5 then the level of reliability is Excellent.
  • B — If the CV is greater than 2.5 and less than or equal to 5 then the level of reliability is Very Good.
  • C — If the CV is greater than 5 and less than or equal to 7.5 then the level of reliability is Good.
  • D — If the CV is greater than 7.5 and less than or equal to 10 then the level of reliability is Poor (use with caution).
  • ** — If the CV is greater than 10 then the estimate is suppressed and not published.

1 The Household Rent Survey and Condominium Apartment Rent Survey were both discontinued in 2017. Collection of secondary rental market information is now limited to CMHC's Condominium Apartment Survey in select Census Metropolitan Areas, as noted.

Choose your location of interest — Help

CMHC’s housing market data is available for multiple levels of geographic aggregation, from national to neighbourhood.

Choose from the pop-up list provided to select your location of interest.

Close this box.
Add this location to your Compare list.
Zoom to and select your location of interest.
Change submarket boundary — Help
Click and drag the top of this box to move it anywhere on your screen.
Options that appear in light grey indicate that they are not available for your current location of interest.

Within a given city, town, or metropolitan area, CMHC provides statistical reporting for a variety of submarkets.

Alter the boundary lines and definitions for your location of interest by changing your submarket boundary display setting.

Housing Market Information Portal

This portal offers free, easy-to-use access to the latest housing market data for Canada.

**Please accept the terms and conditions to proceed.**

Terms and Conditions

CMHC makes considerable effort to ensure that the information and analysis on this site is reliable, but cannot guarantee that it is accurate or complete. The content of the site is general in nature and is not intended as a substitute for professional advice when making significant financial decisions. You understand and agree that your use of the information available on the Housing Market Information Portal will be governed by, and, you will be bound by, the CMHC Licence Agreement for the Use of Data, and in particular, you agree that you may not hold CMHC liable for any consequences that arise if you choose to rely on this information and analysis to make a financial decision.