Steel Primary Forms Weekly

Detailed information for week ending December 2, 2006

Status:

Inactive

Frequency:

Weekly

Record number:

2131

The purpose of this survey is the collection of data on the production (in metric tonnes) of raw steel in Canada.

Data release - December 8, 2006 (This is the last data release for this survey.)

Description

The weekly data collected by this survey are the production (in metric tonnes) of raw steel in Canada.

Data collected from this survey are important as an input into the Canadian System of National Accounts and for studying market trends in the manufacture and shipments of these products. The data are used by the business community, trade associations (including the Canadian Steel Producers' Association), federal and provincial departments and international organizations and associations.

Reference period: Week

Collection period: Each week

Subjects

  • Manufacturing
  • Non-metallic mineral and metal

Data sources and methodology

Target population

The target population for this survey includes manufacturers in Canada of steel primary forms, steel castings and pig iron as defined in the Standard Classification of Goods (SCG), that report these products to the Annual Survey of Manufactures and Logging or ASML (record number 2103). This means that estimates from this monthly survey do not cover the entire universe of ingots and rolled steel producers in Canada because the ASML does not survey all businesses. Instead, the ASML uses administrative data to cover the small and medium-sized establishments. These manufacturers are not part of this monthly survey.

Instrument design

The questionnaire for this telephone survey has remained stable over the years.

Sampling

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

The target population is all steel manufacturers in Canada. A cut-off sample is employed with the nine largest producers being selected.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

The respondents are contacted by phone or E-mail each collection period. The question asked is: "How many tonnes were produced in the week?"

Error detection

A comparison is made with the previous week's data.

Imputation

The analyst imputes for non-response, based on subject matter knowledge of the industry.

Estimation

An estimate is made for the portion of the universe not surveyed based on the ratio of their production to total production, as determined by the results from the Steel Primary Forms, Steel Castings and Pig Iron Survey (record number 2116) and subject matter knowledge of the industry.

Quality evaluation

Survey results are analyzed for comparability with observed industry trends and general economic conditions using surveys such as the Steel Primary Forms, Steel Castings and Pig Iron Survey (record number 2116).

Disclosure control

Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. 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.

Revisions and seasonal adjustment

This methodology type does not apply to this survey.

Data accuracy

All survey data are subject to errors related to coverage, bad response, processing and non-response.

As of September 2006, the response rate for this survey is 86%.

Response and processing errors, when detected, are corrected. Sometimes data are revised at a later date. On a monthly basis, late or non-responses are imputed using a variety of methods, the most common being trend analysis.

Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: