Monthly Electricity

Detailed information for November 2002

Status:

Active

Frequency:

Monthly

Record number:

2151

This monthly survey collects data about electricity generation and/or movement from large generators of electricity in Canada.

Data release - February 3, 2003

Description

This monthly survey collects data about electricity generation and/or movement from large generators of electricity in Canada.

Data are required for integration into the input-output sector of the Canadian System of National Accounts. Federal (Natural Resources and Environment Canada) and provincial agencies are also provided with data on a regular basis. Survey information is used by the International Energy Agency for its data series on the electricity sector.

Reference period: Month

Collection period: Data are collected between the 22nd of the reference month and the 20th of the following month.

Subjects

  • Energy
  • Energy consumption and disposition
  • Nuclear and electric power

Data sources and methodology

Target population

The universe consists of all generators of 20,000 MW or more of electricity and/or those who have imports, exports or inter-provincial transactions in electricity. These account for most of the generation, and all imports, exports and interprovincial movements of electric energy.

The frame is derived from the Electric Power Generating Stations Annual Survey (record number 2193) and the Electricity Supply and Disposition Annual Survey (record number 2194).

Instrument design

The survey questionnaire comprises volumes of electricity generated by utilities and industry, and imports, exports and interprovincial transactions.

The questionnaire is respondent completed.

The current version of the questionnaire was modified in the mid-1980s based on contacts with respondents and data users.

Sampling

This survey is a census.

This methodology does not apply.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Initial contact with new respondents is made as part of their identification in the Electricity Supply and Disposition Annual Survey (record number 2194).

The data are collected through a mail-out/mail-back process. Follow-ups are conducted by phone, fax or email as needed.

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

Error detection

The following methods of error detection are used:

- The data are compared with data for the respondent from the same period of the previous year.
- Inter-provincial transactions are balanced.
- Data on imports and exports are checked against information supplied by the National Energy Board.

Imputation

The response rate for the survey is very high. The values for any non-respondents to the monthly survey are imputed based on previously reported monthly data.

Quality evaluation

The quality of the data to be released is evaluated in the following ways:

- The data are compared with information supplied by the National Energy Board on electricity exports and imports.

- Fluctuations in data on electricity generation at the provincial level are compared with records of temperature degree days issued by Environment Canada.

Disclosure control

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

Confidentiality analysis includes the detection of possible direct disclosure, which occurs when the value in a tabulation cell is composed of a few respondents or when the cell is dominated by a few companies.

Data accuracy

Since the survey is a census of the target population, there is no sampling error. Given the high response rate and error detection based on other sources, non-sampling errors are reduced.

If changes are received from respondents, the data are incorporated and the published data are revised.

Documentation

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