Survey of Suppliers of Business Financing

Detailed information for 2010





Record number:


The Survey of Suppliers of Business Financing is the result of a commitment made in 1999 by the Government of Canada to improve the information available about the financing of small to large sized enterprises in Canada.

Data release - June 6, 2011 (Summary tables for 2010, 2009 and restated 2008 are available online at


The Survey of Suppliers of Business Financing is the result of a commitment made in 1999 by the Government of Canada to improve the information available about the financing of small to large sized enterprises in Canada. Data are collected from the major suppliers of business financing including domestic banks and other banks, credit unions and caisse populaires, finance companies (including some Government Business Enterprises), portfolio managers, financial funds, and insurance companies. The financing covered include debt. Business clients are classified by four variables: authorization level, type of instrument used, province or territory, and industry (including a subset for knowledge-based industries).

The survey contributes baseline statistics to the Financing Data Initiative (FDI), a partnership with Industry Canada. Policy makers use the information to determine whether and where financing problems exist in order to assess, identify and improve policy measures. Suppliers of business financing may use the results to identify areas for improvement or opportunities for profitable business financing.

Reference period: December 31


  • Business performance and ownership

Data sources and methodology

Target population

The universe includes all enterprises that meet the following criterion:
The enterprise, or one of its establishments, has a two-digit NAICS code of either 52 or 53 and the enterprise is incorporated and for-profit. Unincorporated and non-profit enterprises are excluded.

The target population is a subset of the universe. The following additional criterion was applied to the universe to create the target population:
The enterprise, or one of its establishments, must have one of the following 4-digit NAICS codes: 5221 (banks, credit unions, caisses populaires), 5222 (finance companies, factoring companies), 5239 (portfolio managers), 5241 (insurance companies), 5269 except 526912, 526913, 526914, 526916 and 526981 (financial funds).

Instrument design

The content and design of the survey was developed in consultation with Industry Canada, Finance Canada, twelve respondent organizations (including the Canadian Bankers Association and the Credit Union Central of Canada) and about 25 individual respondents.


This is a sample survey with a cross-sectional design.

Data are collected from 120 of the largest financial institutions in Canada with assets over $5 million. The 120 units represent over 90% of all lending to businesses in Canada.

Data sources

Data collection for this reference period: 2011-01 to 2011-04

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Data are collected through a mail-out/mail-back process for the majority of the units. Follow-ups are conducted via the telephone.

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

Error detection

Edits are pre-programmed and applied automatically.

Reported data are examined for completeness and consistency using automated editing coupled with analytical review. Extreme values or mandatory items that are left blank are listed for manual inspection and follow-up. Additional edits ensure data coherence in each section of the questionnaire. Units that fail edit are prioritized for follow-up.


For partial non-response, imputation is performed using two methods: imputation with historical data for enterprises where historical data are available (with a certain level of quality) and a "nearest neighbour" procedure (donor imputation) using available auxiliary information to substitute the data from a company with similar characteristics. For a given questionnaire, historical imputation is used prior to donor imputation.


This methodology type does not apply to this statistical program.

Quality evaluation

Survey results are analyzed before publication. This includes a detailed review of the individual responses (especially for the largest respondents), a review of general economic conditions as well as historic trends and comparisons with administrative data sources.

Extensive validation of the aggregate data, including analysis of top contributors, is also performed to detect outliers and ensure consistency in the disseminated estimates.

Disclosure control

Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. 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.

The confidentiality of the reported statistics to the survey is protected under the provisions of the Statistics Act. Accordingly, statistics are released in aggregate only, with no potential identification of individually reported information. The confidentiality provisions of the Statistics Act override the provisions of the Access to Information Act to guarantee the confidentiality of reported data of individual respondents.

Revisions and seasonal adjustment

This methodology does not apply to this survey.

Data accuracy

Effort was made to ensure high standards throughout all collection and processing operations, however the resulting estimates are inevitably subject to a certain degree of error. These errors can be broken down into two major types: sampling and non-sampling.

Non-sampling errors are not related to sampling and may occur for many reasons. For example, non-response is an important source of non-sampling error. Population coverage, differences in the interpretation of questions, incorrect information from respondents, mistakes in recording, coding and processing of data are other examples of non-sampling errors.

The response rate for 2009 and 2010 is 93% after taking into account the fact that some firms were no longer in business, or had changed their primary business activity.

For the Survey of Suppliers of Business Financing, CVs are calculated for each estimate. Generally, the more commonly reported variables obtain good CVs (15% or less) while the less commonly reported variables are associated with higher CVs. A letter code is associated to each estimate corresponding to the CV of the estimate, based on the following legend:

Code Description CV Range
A Excellent 0.00% to 4.99%
B Very Good 5.00% to 9.99%
C Good 10.00% to 14.99%
D Acceptable 15.00% to 24.99%
E Use with Caution 25.00% to 49.99%
F Unreliable 50.00%

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