Semi-annual Shipments of Office Furniture Products

Semi-annual Shipments of Office Furniture Products
Summary of changes
Other reference periods
Related products

Detailed information for the six-month period ended June 30, 2001

Status:

Inactive

Frequency:

2 times per year

Record number:

2161

The data collected by this survey are the value of shipments and the destination of office furniture products.

Data release - September 27, 2001

Description

This survey was discontinued after the six-month period ended December 31, 2002.

The semi-annual data collected by this survey are the value of shipments and the destination of office furniture products.

Data collected from this survey are important for studying market trends in the manufacture and shipments of these products. The data are used by the business community, trade associations (including The Quebec Furniture Manufacturers Association and The Ontario Furniture Manufacturers Association), federal and provincial departments and international organizations and associations.

Reference period: January to June and July to December

Collection period: The month following the reference period.

Subjects

  • Manufacturing
  • Other manufactured products

Data sources and methodology

Target population

Within the Annual Survey of Manufactures (Survey ID 2103) survey frame, the target population is all establishments manufacturing office furniture products.

Instrument design

This questionnaire was designed using Statistics Canada questionnaire design standards. The design was done in consultation with the survey's funding/collection partners The Quebec Furniture Manufacturers Association, The Ontario Furniture Manufacturers Association, other furniture manufacturers, Industry Canada and the SNA at Statistics Canada, in order to fulfill their needs.

Sampling

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

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Manufacturers report the finished products of own manufacture, in thousands of dollars, whether sold to the trade, to agents, to distributors or other manufacturers. Regional breakdown of domestic shipments - the Atlantic Provinces include the Maritimes and Newfoundland. The Yukon and Northwest Territories should be included with British Columbia.

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

Error detection

Data are examined for inconsistencies and errors using automated edits coupled with analytical review by subject matter analysts in the Division. Several checks are performed on the collected data, looking for internal consistency such as totals equaling the sums of the components, comparisons with previous month's and previous year's data and consistency with historical ratios.

Imputation

Data for non-response are imputed by applying the percentage change between the reference period of the previous year and its previous period, to the most recent period's data for the non-respondent (Example: If X=current period and there was no response, then, ((X-2)/(X-3)) * (X-1)=imputed data). An option exists for the subject matter analyst to manually override this imputation if they have pertinent knowledge to apply a better imputation. Imputed data is revised in the following periods when the non-response situation is resolved.

Estimation

Some estimations are necessary for those manufacturers who fail to report shipments semi-annual. For total non-response, a fluctuation ratio is calculated for the same period of the previous year and applied to this year. If this is not possible, data from the previous period is repeated. For partial non-response, breakdowns are estimated on the basis of previous reports for the same establishment.

Quality evaluation

Survey results are analyzed for comparability with observed industry trends and general economic conditions using surveys such as the Monthly Survey of Manufacturing (Survey ID 2101).

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

All survey data, from whatever source, are subject to error. The main sources of error are Coverage Errors, Response Errors, Processing Errors, and Non-response Errors.

Coverage, response and processing errors do not easily lend themselves to quantification. Where they are detected, they are corrected. On a monthly basis, late or non-responses are imputed using a variety of methods, the most common being trend analysis.

In the case of the Office Furniture Survey, there is a possibility of under-coverage because the frame is derived from the ASM which lags behind the current survey. However, the risk of under-coverage is minimal because of advance information from the ASM frame, feed-back from MSM and information from other sources

Documentation

Date modified: