Quarterly Survey of Capital Expenditures: Pilot Survey on Oil and Gas Activities

Detailed information for first quarter 2011





Record number:


The purpose of the survey is to collect information on the capital expenditures of the Canadian oil and gas extraction industry. This information is required for inclusion in the quarterly estimations of investments in the Gross Domestic Product (GDP), for the System of National Accounts.

Data release - The results of this pilot survey are only to be used internally for evaluation purposes and no data, files or results will be released.


The objective of this project is to determine the feasibility of producing quarterly estimates of investment in engineering in the oil and gas industries from a quarterly survey.

This project will involve all steps required to successfully put in place a new pilot survey and to produce quarterly estimates of acceptable accuracy, including tracking oil and gas industry projects. The first step will involve identifying concepts and quality objectives and evaluating the feasibility of collecting the data as required from respondents (including timeliness component). If the first step does not prove positive, the second step would involve evaluating the feasibility of using available information to support the project's purpose. If the first step does prove positive, subsequent steps would involve outlining data collection and sampling methodology including testing of the questionnaire, outlining processing methodology and production systems as well as the business process, data collection, processing, analysis, and, finally, evaluation of the overall success of the project.

This project will deliver quarterly estimates of investment in engineering in the oil and gas industries to the SNA for the production of quarterly Gross Domestic Product (GDP).


  • Business, consumer and property services
  • Construction
  • Economic accounts
  • Repair and maintenance

Data sources and methodology

Target population

The target population consists of establishments classified to NAICS 211113 (Conventional oil and gas extraction) and NAICS 211114 (Non-conventional oil extraction).

Instrument design

The purpose of this pilot survey is to test both the feasibility of obtaining quarterly estimates from these industries as well as to test the minimalist, yet customized questionnaire that was developed in consultation with the National Accounts and the Canadian Association of Petroleum Producers (CAPP).


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

This pilot survey will be administered to the largest 150 establishments (based on capital expenditures) across NAICS 211113 and 211114. For the purposes of this pilot, the Capital Expenditures Survey (CAPEX) will serve as the frame with input from the Manufacturing and Energy Division (MED).

Data sources

Data collection for this reference period: 2011-10-03 to 2011-10-31

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Collection method - mail out / mail back
capture method - manual
method of initial contact - by telephone
Follow-up method - by telephone
languages offered to respondents - English and French

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

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.

Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: