Pulpwood and Wood Residue

Pulpwood and Wood Residue
Summary of changes
Other reference periods
Related products

Detailed information for August 2001

Status:

Inactive

Frequency:

Monthly

Record number:

2136

The primary purpose of this discontinued survey was for measuring growth in the receipts and consumption of pulpwood and wood residue in Canada.

Data release - November 15, 2001

Description

The primary purpose of the survey is for measuring growth in the receipts and consumption of pulpwood and wood residue in Canada.

Data collected from this survey are important for studying market trends in the supply and disposition of these products. The data are used by the business community, trade associations, federal and provincial departments and international organizations and associations.

Subjects

  • Manufacturing
  • Wood, paper and printing

Data sources and methodology

Target population

Within the Annual Survey of Manufactures (Survey ID 2103) survey frame, the target population is all pulp mills receiving fibre.

Instrument design

The questionnaire for this survey has remained stable over the years, although the format and wording has been modified to maintain its relevance based on feedback from survey respondents and data users.

Sampling

This survey is a census.

The target population includes all major manufacturers of pulp and paper. The survey frame is based on the Annual Survey of Manufactures (ASM).

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents and derived from other Statistics Canada surveys.

Data are collected through a mail-out / mail-back process, while providing respondents with the option of telephone or other electronic filing methods. Follow-up procedures are applied when a questionnaire has not been received after a pre-specified period of time; respondents are phoned or sent a fax to remind them to send their questionnaire. It is expected that data will be received, captured, edited and tabulated within a 31 working day period after the reference month.

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

Contacting the respondent. A comparison with the previous month of the same year. A comparison with the same month of the previous year. Using historical ratios.

Estimation

For non-response, previous year trends (month over month) are applied to previous month's response.

Quality evaluation

1. Observe trends in the industry
2. Comparison with ASM data
3. Compare data with national economy and other manufacturing industries.

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 such as errors related to coverage, bad response, processing and non-response.

In the case of the Pulpwood and Wood Residue 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.

Response and processing errors do not easily lend themselves to quantification. Where they are detected, they are corrected. Sometimes the 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.

Documentation

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