Confectionery

Detailed information for second quarter 1985

The main use of this survey was to provide information to other government bodies, interested associations and members of the industry. A secondary use was to enhance the quality of information collected by the Annual Survey of Manufactures.

Data release - -

• Description
• Data sources and methodology

Description

The population consists of approximately 43 manufacturers of confectionery. The survey collects information on the volume of shipments of various types of confectionery for the quarter and the year to date. The data are based on a sample inflated to represent the universe. The inflation is based on data from the latest Annual Survey of Manufactures. The main use of this survey is to provide information to other government bodies, interested associations and members of the industry. A secondary use is to enhance the quality of information collected by the Annual Survey of Manufactures.

Subjects

• Food, beverage and tobacco
• Manufacturing

Data sources and methodology

Sampling

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

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.