Report of Crushing Operations
This is a census of plants that crush oilseeds into oil and meal. Data collected are part of supply-disposition statistics of major grains and allow the calculation of the domestic disappearance component.
Detailed information for July 2014
Data release - August 21, 2014
This is a census of plants that crush oilseeds into oil and meal. Data collected are part of supply-disposition statistics of major grains and allow the calculation of the domestic disappearance component. They are also required to verify grain production and farm stocks. The data are used by the provincial governments, the Food and Agriculture Organization (FAO) and related industries for market analysis, particularly of supply-disposition of grain.
- Crops and horticulture
Data sources and methodology
All known plants which crush oilseeds to produce oil and meal. Excluded from the frame are those plants that crush oilseeds for specialty health food stores.
The questionnaire was designed in conjunction with oilseed processors and was last revised in 1999.
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.
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Information is filed by electronic filling methods or returned by mail to Statistics Canada within 10 days of the reference month. Non-respondents are telephoned and the survey is not closed until all of the plants have responded.
View the Questionnaire(s) and reporting guide(s) .
The data for each plant are verified by average extraction rates, by comparing current data to data from previous months and by comparing trends between plants. Data quality is maintained by standard editing techniques that are particularly rigorous with this survey because it is small. Data discrepancies are either scrutinized by professional staff or the company involved is contacted. Average extraction rates and industry information are used for verification. Further verification is done through supply-demand analyses. There are no sampling errors as this is a census.
The response rate for the survey is very high, nearly 100%. Imputation for missing data values is rarely required.
The survey data are found to match information received from the Canadian Oilseed Processors Association.
Data are compared with administrative data from the Canadian Grain Commission on a monthly basis.
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.
Revisions and seasonal adjustment
Data are revised for non-response or for incorrect reporting when revisions are received. The survey data are not benchmarked.
While considerable effort is made to ensure high quality standards throughout all stages of collection and processing, the resulting estimates are inevitably subject to a certain degree of non-sampling error. Examples of non-sampling error are coverage error, data response error, non-response error and processing error.
Coverage error can result from incomplete listing and inadequate coverage of the population of crushing plants. However, given the infrastructure and the oilseed supplies needed for a crushing plant, it is unlikely that a new operation could start-up undetected. The Canadian Oilseed Processors Association also aids in list maintenance.
Data response error may be due to questionnaire design, the characteristics of a question, inability or unwillingness of the respondent to provide correct information, misinterpretation of the questions or definitional problems. These errors are controlled through careful questionnaire design and the use of simple concepts and consistency checks. This survey has been in place for many years and most respondents are well versed in the survey concepts.
Non-response error is related to respondents that may refuse to answer, are unable to respond or are too late in reporting. In these cases, discussions are held with the respondents. Data are never imputed. Analysts keep in contact with the crushing plants and the Canadian Oilseed Processors Association to maintain the 100% response rate.
Processing error may occur at various stages of processing such as data entry, editing and tabulation. Measures have been taken to minimize these errors. A few trained staff work on this survey. Data entry and edit are performed simultaneously due to the spreadsheet design. Tabulation is automated to eliminate human error.
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