Gypsum Products

Detailed information for December 1995

Status:

Inactive

Frequency:

Monthly

Record number:

2109

This survey provided data on current levels of production and shipments of the gypsum products for construction in Canada and serves as an early indication of trends in the Canadian economy.

Data release - February 1, 1996

Description

This survey provided data on current levels of production and shipments of the gypsum products for construction in Canada and serves as an early indication of trends in the Canadian economy.

Subjects

  • Manufacturing
  • Other manufactured products

Data sources and methodology

Sampling

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

Data sources

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

From a monthly mailing of questionnaires with a telephone follow-up procedure, data are captured, computer edited and tabulated within a 24 working-day period after the reference date.

Estimation

In applying the ratio of the month to month change from last year's to this year's data for M-1.

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.

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