Annual Oil and Gas Extraction Survey (OGEX)

Detailed information for 2014

This annual survey collects information on Canadian companies involved in the oil and gas exploration, development and production industry. The survey collects financial, income and balance sheet information as well as operating statistics.

Data release - September 18, 2015

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

Description

These data are required for integration into the input-output sector of the Canadian System of National Accounts. Data are intended for use by survey respondents, federal departments and agencies, provincial ministries and authorities, industry associations, industry analysts, the press and the general public to assess trends in the oil and gas extraction sector of the Canadian economy.

Statistical activity

The survey is administered as part of the Integrated Business Statistics Program (IBSP). The IBSP has been designed to integrate approximately 200 separate business surveys into a single master survey program. The IBSP aims at collecting industry and product detail at the provincial level while minimizing overlap between different survey questionnaires. The redesigned business survey questionnaires have a consistent look, structure, and content.

The integrated approach makes reporting easier for firms operating in different industries because they can provide similar information for each branch operation. This way they avoid having to respond to questionnaires that differ for each industry in terms of format, wording and even concepts. The combined results produce more coherent and accurate statistics on the economy.

• Additional documentation

Reference period: Calendar year

Collection period: Late March to late July

Subjects

• Business performance and ownership
• Crude oil and natural gas
• Energy
• Financial statements and performance

Data sources and methodology

Target population

The target population is comprised of all establishments in Canada engaged in operating in exploration, development and production of oil and gas in Canada (NAICS 21111) according to the North American Industry Classification System.

The observed population is comprised of those establishments in the target population for which business information is available on Statistics Canada's Business Register and whose revenue exceeds a minimum threshold or cut-off. The cut-off excludes from the population all establishments that comprise the bottom 10% of an industry and/or geography grouping and is implemented to reduce response burden for small establishments.

• Additional documentation

Instrument design

The questionnaire was designed using Statistics Canada questionnaire design standards. The design was done in consultation with the survey's partners.

The questionnaire is respondent completed electronically. The questionnaire is also available in paper format delivered by mail or fax, and respondents can complete it over the phone with interviewers.

The questionnaires are subject to regular revision to reflect changes in information aspect requirements.

Sampling

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

Data collection for this reference period: 2015-03-25 to 2015-07-16

Responding to this survey is mandatory.

Data are collected directly from survey respondents, extracted from administrative files and derived from other Statistics Canada surveys and/or other sources.

The data are collected through a mail-out/mail-back process, while providing respondents with the option of telephone or other electronic filing methods. Follow-up procedures are applied when a questionnaire has not been received after a pre-specified period of time: respondents are phoned or sent a fax to remind them to send their questionnaire in order to reach the survey target response rate of 100%.

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

Error detection

Data processing procedures identify missing data, data entry errors, assess validity of reported data. Macro-level edits detect unusual data fluctuations within a current survey period.

Imputation

Some respondents may be unable to respond or may be late in responding. In such cases, missing data is automatically imputed based on historical information, for example, data from the previous year. Other sources of information are also put to contribution, for example, company's annual financial reports.

Quality evaluation

In order to ensure the accuracy and consistency of the data, the results of the survey are reconciled with other information provided by the Canadian Association of Petroleum Producers (CAPP). Other federal departments, provincial and territorial authorities routinely monitor the data.

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

Revisions may be performed for the previous year.

Data accuracy

The survey is a census of the population above the threshold. As a consequence, under-coverage is minimal, and minimal bias resulting from non-response is introduced. If changes are received from respondents, the data are incorporated and the disseminated data are revised.