Footwear Statistics

Detailed information for July to December 2004

The purpose of this survey is to collect data on the production (number of pairs) of footwear. Data are provided for types of footwear by materials used for uppers and soles.

Data release - February 28, 2005

• Questionnaire(s) and reporting guide(s)
• Description
• Data sources and methodology
• Data accuracy

Description

The semi-annual data collected by this survey is production (number of pairs) of footwear. Data are provided for types of footwear by materials used for uppers and soles.

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

This survey was discontinued after the July to December 2004 reference period.

Reference period: January 1st to June 30th and July 1st to December 31st

Collection period: The month following the reference period.

Subjects

• Manufacturing
• Textiles, clothing and leather

Data sources and methodology

Target population

Under the North American Industry Classification System (NAICS 316210), Footwear Manufacturing comprises establishments primarily engaged in manufacturing footwear.

Instrument design

The questionnaire was developed in collaboration with the Shoe Manufacturers' Association of Canada and Industry Canada in order to meet the statistical needs of all parties. Every effort was made to ensure questions asked are relevant and can be answered by the manufacturers.

Sampling

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

Data are collected for all units of the target population, therefore, no sampling is done.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Data are collected directly from survey respondents through a mail-out / mail-back process. However, respondents are given the option of providing data over the telephone or electronically. Non-respondents are followed-up by telephone or fax after a pre-specified period of time. Data are expected to be received, captured, edited and tabulated within a 31 working day period after the reference period.

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

Error detection

Data are examined for inconsistencies and errors using automated edits and an analytical review by subject matter analysts. 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 approach if they have pertinent knowledge to come up with a better method of imputation. In the case of late response, imputed data are revised in the following period.

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

While it is intended for this survey to be a census, there is known under-coverage. There aren't any estimates made for the portion of the universe not surveyed.

Based on the 2002 Annual Survey of Manufactures, this survey accounts for approximately 85% of the total production of footwear and the degree of estimation for non-response in 2004 was 7.8%.