Quarterly Stocks of Frozen and Chilled Meats Survey (FRMT)
Detailed information for July 1, 2017
The survey collects the data needed to produce statistics on the stocks of frozen and chilled meats held at establishments registered with the Canadian Food Inspection Agency.
Data release - August 22, 2017
This survey collects data from cold storage warehouses on stocks of frozen and chilled red meat. These data are used by agricultural industry analysts and producers as they make production and marketing decisions. Government analysts also use the data to monitor the livestock industry or develop agricultural policies in Canada.
The survey is administered as part of the Integrated Business Statistics Program (IBSP). The IBSP program has been designed to integrate approximately 200 separate business surveys into a single master survey program. The IBSP aims at collecting industry and product detail at the provincial level while minimizing overlap between different survey questionnaires. The redesigned business survey questionnaires have a consistent look, structure and content.
The integrated approach makes reporting easier for firms operating in different industries because they can provide similar information for each branch operation. This way they avoid having to respond to questionnaires that differ for each industry in terms of format, wording and even concepts. The combined results produce more coherent and accurate statistics on the economy.
Reference period: January 1; April 1; July 1; October 1
- Livestock and aquaculture
Data sources and methodology
The target population consists of all cold storage warehouses storing red meat licensed by the Canadian Food Inspection Agency. This is also the observed population.
The electronic questionnaire was designed by Statistics Canada as part of the Integrated Business Statistics Program. This program incorporates business surveys into a single framework, using questionnaires with a consistent look, structure and content.
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.
Respondents receive an email with a link to the electronic questionnaire. Telephone, facsimile or email follow-up procedures ensure a high rate of return during data collection.
View the Questionnaire(s) and reporting guide(s) .
During data collection and processing, edits are used to detect errors or inconsistencies in the microdata records. These edits include value edits (e.g. values which fall outside of expected ranges), linear equality edits (e.g. Value1 + Value2 = Total Value) and consistency edits (e.g. stocks of a certain type of meat was declared, but no values were given). Comparisons are also done with historical responses.
Both quarterly reports and provincial totals are scrutinized to ensure that they are consistent with previous reporting periods and industry trends.
All units in the observed population are being surveyed. Estimation of totals is done by simple aggregation of the values of all estimation units that are found in the domain of estimation.
The survey results are evaluated through comparisons to previous estimates and other sources when available. Biological factors and industry limitations are used as a guide when evaluating the data or comparing to other data sets.
Statistics Canada is prohibited by law from releasing any information it collects that 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
This methodology type does not apply to this statistical program.
As this is a small census style survey with rigorous follow-up as required, data quality is deemed to be very high. In the case of a late report, follow-up processes result in a high response rate. If the data cannot be obtained, estimates are made, and the data are revised the following quarter.
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