Quarterly Survey of Capital Expenditures - Oil and Gas Activities

Detailed information for second quarter 2023





Record number:


The purpose of the survey is to collect information on the capital expenditures of the Canadian oil and gas extraction industry.

Data release - September 1, 2023


This information is required for inclusion in the quarterly estimations of investments in the Gross Domestic Product (GDP), for the System of National Accounts.

Reference period: Quarter

Collection period: During the 40 days following the reference quarter


  • Construction
  • Economic accounts
  • Energy

Data sources and methodology

Target population

The survey population is comprised of all establishments classified as operating in exploration, development and production of oil and gas in Canada (NAICS 2111) according to the North American Industry Classification System. The target population is establishments in NAICS 2111 for which consolidated capital expenditure intentions are above a certain threshold and, for which, together represent at least 98% the total population's capital expenditure estimates.

Instrument design

The questionnaire was developed in consultation with the National Accounts, questionnaire design specialists and the Canadian Association of Petroleum Producers. A pilot project was conducted in 2011.


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

Data are collected for all units of the target population, therefore, no sampling is done.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Collection method - electronic questionnaire
Capture method - manual
Method of initial contact - by email
Follow-up method - by telephone
Languages offered to respondents - English and French

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

Error detection

Data are edited to ensure internal and historical logic and consistency and analysed for trends and validity during data processing.

Each survey response is manually edited at the micro level.

The edit procedures usually consist of:

- checking each field of every record to ascertain whether it contains a valid entry;
- checking entries in certain predetermined combinations of fields to ascertain whether entries are consistent with one another.


On occasion some respondents may be unable to respond or may be late in responding. In such cases, missing data are imputed based on historical information, for example, data from the previous year and intentions provided for the year. Other sources of information are also used, for example, company's quarterly financial reports.


This methodology type does not apply to this statistical program.

Quality evaluation

In order to ensure the accuracy and consistency of the data, the results of the survey are reconciled with other information such as the Annual Capital and Repair Expenditures Survey: Actual, Preliminary Actual and Intentions, and the Quarterly Survey of Financial Statements. In addition, survey results are analyzed for comparability; in general, this includes a detailed review of: individual responses, general economic conditions, coherence with results from related economic indicators, historical trends, and information from other external sources (e.g. announced corporate guidance, drilling statistics, trade publications, newspaper articles).

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

With the release of a quarter's estimate, the estimates from the previous quarter are revised with new information. Revisions are made to the data to correct for late survey data and to correct errors discovered during the analysis phase. Revisions may also be made on an occasional basis (i.e. following reconciliation with information from other related surveys). The data may be subject to revisions for two years following their first release.

Data are seasonally adjusted using the X12-ARIMA method. A seasonally adjusted time series is a time series that has been modified to eliminate the effect of seasonal and calendar influences.

The seasonally adjusted data also need to be revised. With the release of each quarter of new data, the seasonally adjusted values are revised to the first quarter of the preceding year.

For more information on seasonal adjustment, see "Seasonally Adjusted Data - Frequently Asked Questions" (http://www.statcan.gc.ca/dai-quo/btd-add/btd-add-eng.htm).

Data accuracy

Since the survey is a census of the target population, there is no sampling error. However, the results are still subject to the non-sampling errors that may occur for various reasons during the collection and processing of data.

For example, non-response is an important source of non-sampling error. Under or over-coverage of the population, differences in the interpretations of questions and mistakes in recording, coding and processing data are other examples of non-sampling errors. To the maximum extent possible, these errors are minimized through careful design of the survey questionnaire, verification of the survey data, and follow-up with respondents when needed to maximize response rates.

Data for non-responding units are imputed using published quarterly financial reports when available, industry trends, and other related information.

The response rate for the second quarter of 2022 was 60.4%


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