Survey of Non-Bank Mortgage Lenders (SNBML)

Detailed information for second quarter 2024

The purpose of this survey is to collect detailed information from non-bank lenders on residential mortgages.

Data release - October 25, 2024

• Questionnaire(s) and reporting guide(s)
• Description
• Data sources and methodology
• Data accuracy

Description

In recent years, the number of non-bank lenders and their share of issued mortgages, has grown. The purpose of this survey is to collect information to analyze trends in the Canadian non-bank lender residential mortgage market. This will fill an important data gap to help the industry and stakeholders understand changes in the market, and support policy decisions related to mortgage lending and financial stability in Canada. The information may also be used for other statistical and research purposes.

Reference period: The calendar quarter.

Collection period: During the months following the reference period.

Subjects

• Business performance and ownership
• Families, households and housing
• Financial statements and performance

Data sources and methodology

Target population

The target population includes enterprises in Canada that provide residential mortgages.
These enterprises were selected from the following North American Industry Classification System (NAICS) codes:

- 5221: Depository credit intermediation
- 5222: Non-depository credit intermediation
- 5223: Activities related to credit intermediation
- 523: Securities, commodity contracts, and other financial investments and related activities
- 524: Insurance carriers and related activities
- 5269: Other funds and financial vehicles.

The observed population includes the largest enterprises by assets selected among the enterprises whose contribution makes up more than 95% of the corresponding NAICS code in the fourth quarter of 2018. It also includes units found using a pilot study, a filtering pre-contact phase and lists of non-bank lenders mortgages from the Canada Mortgage and Housing Corporation (CMHC).

Instrument design

The Survey of Non-Bank Mortgage Lenders was designed in consultation with CMHC. Consultations and questionnaire testing took place across Canada with key industry players. Questionnaire design specialists reviewed the survey questionnaires. Their comments on the design and content were incorporated into the final versions.

Sampling

This survey is a census with a longitudinal design.

Data are collected from every non-bank residential mortgage lender from the observed population.

Sampling unit:
The sampling unit is a financial enterprise (NAICS codes 5221, 5222, 5223, 523, 524 and 5269) as defined on the Statistics Canada Business Register.

Stratification method:
Not applicable.

Sampling and sub-sampling:
Data are collected from every non-bank residential mortgage lender. These were found using a pilot study, a filtering pre-contact phase and lists of enterprises from CMHC. For the second quarter of 2024, 279 units were found to be in scope. For some NAICS, a threshold based on the level of assets was applied to remove very small units from the sample.

Data sources

Data collection for this reference period: 2024-07-02 to 2024-08-30

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

The collection method is electronic questionnaire. The questionnaire is available in English and French.

View the Questionnaire(s) and reporting guide(s) .

Error detection

Edits are applied at the micro level. The data are subjected to a detailed quality review process with checks to detect missing, invalid or inconsistent entries or to identify records that are potentially erroneous. Inconsistent or invalid information is also reviewed at the analysis stage. This includes a comparative analysis to other sources of related data and information, where available.

Imputation

After edits are applied, two classes of units are created: partial non-response cases and total non-response cases. For the units for which partial data have been collected, these partial data are used with auxiliary information to impute the missing data for the unit. Units which do not respond in the current period are fully imputed. For those units for which historical data exist, the historical data, taken in conjunction with current economic trend, are used to predict the current-period data. Otherwise, imputation makes use of information of similar units, which are identified based on their industry classification as well as their value of assets.

In the second quarter of 2020, a new question on deferred mortgages was added to the Survey of Non-Bank Mortgage Lenders. As of the first quarter of 2022, this question has been removed.

Estimation

Estimates are derived from the simple tabulation of data from the current population.

Quality evaluation

The survey results are analyzed before publication. In general, the analysis includes a detailed review of the individual responses, a review of general economic conditions as well as historic trends and comparisons with other data sources. In addition, subject matter experts from outside Statistics Canada were given an opportunity to review the survey microdata and estimates, as well as provide feedback on their quality prior to their official release. A particular investigation is done on the units considered as out of scope for the study.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

Revisions and seasonal adjustment

Previously released estimates may change for a number of reasons, including survey population updates, lender type reclassifications and changes in the content and/or methodology. Considerable efforts are made to ensure historical coherence of the series when extensive revisions are carried out.

Data accuracy

The survey response rate is calculated as the number of respondents divided by the number of estimated in-scope units. The number of estimated units includes all respondents and an estimate of the number of units among non-respondents. The overall response rate for the second quarter 2024 was 74.2%.