Maple Products (MAPL)
Detailed information for 2017
Status:
Active
Frequency:
Annual
Record number:
3414
This survey collects data the production and value of maple products.
Data release - December 13, 2017
Description
This survey collects data to provide estimates of production and value of maple products in Canada. The data are used by Agriculture and Agri-Food Canada, other government departments and provincial governments as well as producer's organizations. This information assists in the administration of agricultural policies, production and price analysis and economic research.
Reference period: Calendar year
Collection period: April to November of reference year
Subjects
- Agriculture and food (formerly Agriculture)
- Crops and horticulture
Data sources and methodology
Target population
The target population is producers of maple products in the provinces of Quebec, Ontario, New Brunswick and Nova Scotia. The observed populations in New Brunswick and Ontario are those establishments in the target population for which business information is available on Statistics Canada's Business Register.
Quebec conducts its own survey and provides Statistics Canada with timely aggregate data. Data collection for Quebec takes the form of a Census-type mail-in survey originating at l'Institut de la statistique du Québec. Data, received by the Institut, are edited for correctness and tables are compiled. Volume of syrup destined for processing is obtained from administrative data compiled by the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec. The value of processed syrup is obtained through a separate survey of processors.
Instead of a survey, administrative data is collected for all producers of maple products in Nova Scotia by Statistics Canada.
Instrument design
The questionnaire was developed by subject matter specialists through consultation with the provinces and industry experts. New questions are not pre-tested in the field. However, testing is conducted in-house for flow and consistency. Questions will be changed, added or removed as the need arises. Required changes are usually identified through such means as subject matter specialist research, changes in market trends and field staff debriefing reports.
Sampling
This is a sample survey with a cross-sectional design.
In New Brunswick and Ontario the data are collected through a one-stage stratified random sample survey of producers of maple products according to Statistics Canada's Business Register. In Nova Scotia and Quebec, aggregated provincial data is received from the Nova Scotia Department of Agriculture and the Institut de la statistique du Québec.
As a result of the timing of the COVID-19 pandemic, active collection of data from Ontario and New Brunswick was suspended for 2020 to minimize burden on farm operators. Estimates for these provinces were produced using modelling and information from previous years.
Data sources
Data collection for this reference period: 2017-04-01 to 2017-11-18
Responding to this survey is mandatory.
Data are collected directly from survey respondents and extracted from administrative files.
This is a mail-out/mail-back survey. Respondents receive fax reminders and a follow-up phone-call. The questionnaire is available in English and French.
In Nova Scotia and Quebec, aggregated provincial data is received from the Nova Scotia Department of Agriculture and the Institut de la statistique du Québec.
View the Questionnaire(s) and reporting guide(s) .
Error detection
During data processing, edits are used to detect errors or inconsistencies that remain in the microdata records following collection. These edits include value edits (e.g. values which fall outside of expected ranges) and consistency edits (e.g. an amount of syrup sold is reported, but no price for the sale is reported).
Imputation
If data inconsistencies and errors are not resolved by telephone follow-up, the inconsistent data are imputed along with other missing data, including those from total survey non-responses. Donor imputation as well as data from the previous occasion (historical imputation) are used. In rare situations, mean imputation may also be used. The edited and imputed data are then subject to verifications and adjustments by expert analysts.
Estimation
Sampling weights are assigned to all selected establishments based on their probability of selection. These weights are used for the tabulation of the estimates. The estimates are then inflated to account for the take-none stratum from which no sample is selected. The contribution of this stratum is estimated based upon a model that considers the estimated percentage of the total production included in the take-none stratum population and the overall amount of production reported by the survey respondents.
The precision of the estimates is described through the sampling variance and uses classical statistical formulae for one-stage stratified simple random sampling survey designs.
Quality evaluation
Data verification and analysis of the top contributors and historical comparisons are performed before a final estimate is disseminated. Different sources of information are used to validate provincial estimations. No other surveys are available to compare directly with these survey results.
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.
Revisions and seasonal adjustment
This methodology does not apply to this survey program.
Data accuracy
One measure of accuracy in the provinces of New Brunswick and Ontario in which sample surveys were conducted is the coefficient of variation. The table below shows the coefficient of variation for two of the principal statistics. Because a census of all of the units eligible for the survey was taken in New Brunswick, the coefficient of variation is always equal to zero in this province.
Maple products expressed as syrup, total (gallons)
New Brunswick 0.0%
Ontario 2.5%
Gross value of maple products (dollars)
New Brunswick 0.0%
Ontario 2.4%
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