Annual Survey of Services to Buildings and Dwellings

Detailed information for 1997





Record number:


This survey collects the financial and operating data needed to develop national and regional economic policies and programs.

Data release - March 31, 2000


This annual sample survey collects data required to produce economic statistics for the Consulting Services industry in Canada.

Data collected from businesses are aggregated with information from other sources to produce official estimates of national and provincial economic production for this industry.

Survey estimates are made available to businesses, governments, investors, associations, and the public. The data are used to monitor industry growth, measure performance, and make comparisons to other data sources to better understand this industry.


  • Business, consumer and property services
  • Repair and maintenance

Data sources and methodology

Target population

Establishments primarily engaged in exterminating and controlling insects, rodents and other pests, in and around buildings and other structures; cleaning building interiors and windows; landscaping installation, care and maintenance; cleaning and dyeing rugs, carpets and upholstery; and providing other services to buildings and dwellings.


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

The survey frame is drawn from the CFDB (Central Frame Data Base) and encompasses all establishments alive during the reference period. A probability sample is selected stratified by industry, province and size. Size is measured by Gross Revenue.


Administrative data are used for imputation and to adjust estimates for non-responses. The statistical unit for tabulation is the establishment.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that 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.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Revisions and seasonal adjustment

Annually, during preparation of preliminary and final estimates, previous years' data are revised to reflect new information.

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