Supplement to Statistics Canada's Generic Privacy Impact Assessment related to UCASS Modernization

Date: August 2022

Program manager: Director, Canadian Centre for Education Statistics,
Director General, Labour Market, Education and Socioeconomic Well-being

Reference to Personal Information Bank (PIB)

PIB draft submitted for review to OPMIC

Description of statistical activity

The Full-time University and College Academic Staff System (FT-UCASS) is an annual survey since 1937 that collects national comparable information on the number and socio-economic characteristics of full-time teaching staff at Canadian universities. Participating universities extract this information from their Human Resource Information Systems (HRIS) for each individual staff member employed by the institution as of October 1st of the academic year. The information is organized on an EXCEL spreadsheet and sent to Statistics Canada through the electronic file transfer system (e-FT). The data collected by this survey are used in a non-identifiable form by a variety of clients with a diversity of needs including conducting studies on employment patterns, gender-based analyses, workforce renewal, salary analysis for contract negotiation and international comparative statistics. We are collecting UCASS under sections 3, 7(1) and 22(h) of the Statistics Act. The UCASS survey is mandatory in accordance with the Statistics Act.

The target population of this data collection is full-time academic teaching staff in degree-granting in 112 institutions (mainly universities) whose term of appointment is not less than twelve months. We are collecting 27 data elements on each full-time academic staff member in each reporting institution such as Unique ID per institutions, Gender, Year of birth, Department, Salary information, Principal subject taught, Rank, Previous employment, Year of appointment to present rank, Type of appointment, Year of appointment to institution, First and highest degree and Country of birth and highest degree.

The data collection was cancelled in 2012 due to budget cuts sustained by Statistics Canada. It was re-instated by Statistics Canada in September 2016 partly due to the interest of the then Minister of Science, who agreed to fund the survey. Following the re-instatement of the survey there has been much interest in closing known data gaps on academic staff in Canadian postsecondary institutions in terms of coverage and content. These gaps include a lack of Equity Diversity and Inclusion (EDI) data on full-time academics, other than gender, as well as information on part time or contract staff.

Over the last year, representatives from the Canadian Centre for Education Statistics (CCES) have engaged in discussions with key postsecondary education stakeholders who are also interested in closing these data gaps and modernize UCASS through a feasibility study. These include Dimensions: Equity, Diversity and Inclusion Canada (which aims to assess and promote filling equity gaps in postsecondary institutions), Innovation, Science and Economic Development Canada, the three granting agencies (Natural Sciences and Engineering Research Council, Social Sciences and Humanities Research Council, and Canadian Institutes of Health Research) and the Canada Foundation for Innovation. In addition, CCES has recently been approached by the Inter-Institutional Advisory Committee also about the inclusion of EDI data within FT-UCASS to support the Scarborough Charter on anti-Black racism and Black inclusion.

Before initiating a complete data collection for all universities within the UCASS-FT survey frame on EDI variables and contract staff, the Canadian Centre for Education Statistics has proposed to conduct a pilot project on a sample of universities in the UCASS survey frame that includes:

1. Adding EDI to the current collection and dissemination of FT-UCASS;

2. Assessing the feasibility and efficiency of collecting additional personal identifiers (first name, last name and date of birth) within FT-UCASS to explore data integration with the Canadian Census and other data sources to obtain their EDI characteristics and;

3. Expand coverage to include part-time/contract staff (PT-UCASS).

Specifically, we are proposing to explore in this feasibility study a new data collection for part-time academics with data elements including:

• first name,
• last name,
• date of birth,
• EDI information (see below),
• department,
• subject taught,
• type of contract (sessional, limited term contract, overload and other)
• salary information,
• contract start and end date,
• teaching load,
• number of courses taught,
• number of credits taught, and
• number of contract hours.

EDI information is of interest because it can be used to identify and eliminate obstacles and inequalities and encourage participation of designated underrepresented groups within the academic community. Collecting variables related to the following categories will support the overall goal of increasing the representation of the following groups among academic staff:

• Women
• Indigenous People
• Persons with disabilities
• Member of visible minority/racialized groups
• Members of the LGBTQ2+ communities
• Individuals who identify as or belong to more than one of these groups.

This pilot would be conducted in selected Canadian universities and would allow us to test an expanded data collection strategy. This information would inform the development of a permanent collection of these variables within the UCASS data collection. The pilot project would be most effective if there were a balanced mix of institution types: large, medium, and small institutions, as it is expected that there may be different challenges from each.

If the pilot project was deemed successful, the next step would be to negotiate ongoing funding to modify FT-UCASS, and/or to create PT-UCASS surveys for all institutions in the current UCASS data collection frame.

This pilot project will be conducted in selected Canadian universities who are currently part of the Dimensions' cohort and included in the UCASS survey data collection, to test this expanded data collection strategy. Statistics Canada is also approaching other UCASS institutions to seek interested parties that could contribute to this exercise and/or would be willing to be part of the pilot project and the consultation process.

The following universities are part of the Dimensions' cohort and will be invited to participate in our pilot project. We are presently evaluating the following Dimension's cohort universities to assess their eligibility and willingness to participate in our pilot project.

• Mount Saint Vincent University (Nova Scotia),
• Ryerson University (Ontario),
• Simon Fraser University (British Columbia),
• Université Laval (Québec),
• University of British Columbia (British Columbia),
• University of Calgary (Alberta),
• University of New Brunswick (New Brunswick),
• University of Ottawa (Ontario),
• University of Saskatchewan (Saskatchewan),
• University of Winnipeg (Manitoba),
• Vancouver Island University (British Columbia),
• Wilfrid Laurier University (Ontario)

Reason for supplement

While the Generic Privacy Impact Assessment (PIA) addresses most of the privacy and security risks related to statistical activities conducted by Statistics Canada, this supplement is required before initiating data collection due to the sensitivity of the information being collected. Given this is a pilot, it will also inform the ongoing survey as to how best to proceed with adding the EDI variables. Statistics Canada treats all collections of sensitive personal information very seriously and this assessment will assure that it is being done in the most privacy protective way feasible.

Necessity and Proportionality

The collection of personal information for UCASS can be justified against Statistics Canada's Necessity and Proportionality Framework:

1. Necessity:

A data collection on EDI and contract staff on university academics is necessary to support enhanced statistics on diverse populations, and support the government's, non-government organizations' and society's efforts to address systemic racism, gender gaps—including the power gaps between men and women—and bring fairness and inclusion considerations into decision making. Ultimately, the collection of more robust disaggregated data on the under-represented groups within the academic community (EDI and part-time/contract staff) will contribute to a more equitable employment environment in Canadian universities. This would include an environment where research funds are distributed according to how the groups under consideration are represented in the Canadian population and the academic community. It would also allow to inform the extent by which work precarity exists within the academic teaching community.

Furthermore, there is also consensus among key stakeholders related to this project that in order to improve the representation of the EDI groups within academia, having data that conforms to Statistics Canada's standards on these characteristics is a first step. Data on the characteristics of academic staff can be compared to benchmark data from Statistics Canada sources (Census, Canadian Survey on Disability, Survey on Postsecondary Faculty and Researchers) and over the long term, measuring progress toward a more representative academic community across universities.

In recent years, the federal research funding agencies have undertaken several initiatives to foster a more equitable, diverse and inclusive research ecosystem in Canada. The underlying premise is that in order to achieve world-class research, systemic barriers must be addressed that limit the full participation of all talented individuals

The Canadian Institutes of Health Research (CIHR), the Natural Science and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC) , under the leadership of the Canada Research Coordinating Committee (CRCC), have developed an action plan that will guide initiatives and decisions to contribute to a system-wide transformation.

This Action Plan outlines measures to increase equitable and inclusive access to granting agency funding opportunities. It also details how the granting agencies can influence the achievement of an inclusive post-secondary research system and culture in Canada. However, in order to measure progress, quality data on the representation of the under-represented groups in the research eco system in Canada is required. Currently, some of the research agencies are using data from the US and UK since comparable Canadian data is not available.

Most large Canadian universities are required to have a Canada Research Chairs Action Plan which lays out a road map that the institutions plan to use that will be used to meet their EDI targets. Conducting a pilot will allow Statistics Canada to evaluate if the collected data is sufficient to meet this goal or if additional or potentially fewer data elements are required if the collection were to be expanded to all institutions.

2. Effectiveness - Working assumptions:

The goal of the pilot project is to analyze the benefits and disadvantages of collecting EDI information (visible minority status, Indigenous identity, disability status, gender identity, sexual orientation) on university academic staff either through data integration or by direct collection from the universities' internal collection on EDI. We also want to assess the feasibility and efficiency of collecting additional personal identifiers (first name, last name and date of birth) to explore data integration with the Canadian Census and other data sources to obtain or derive their EDI characteristics. This could be an option for smaller institutions in the pilot that have less resources to collect and provide STATCAN EDI data for their academics full-time or part-time or have obtain low coverage while collecting it.

There have been a number of challenges identified for the collection of data from the institution's internal data holdings. In the last round of consultations on the expansion of UCASS, there was a consensus that this expansion would be of great interest. However, one of the challenges is that for those that have established EDI data collections, they may have to re-open the agreements under which the data was originally collected to seek permission to share this information with Statistics Canada. This information is self-reported by academic staff to the institution and not all individuals choose to report EDI characteristics for various reasons (fear of reprisals from employer, fear of being blocked from achieving tenure and movement through the ranks, inherent bias etc.). Some EDI information may be more sensitive, such as gender identity, sexual orientation or disability status. Data reported to UCASS comes from Human Resource systems, it may be that some university academics would not want their self-identified EDI information attached to the human resources records. Therefore, data linkage using personal identifiers could mitigate this challenge.

Once the results of the pilot project have been analyzed, then an approach to collection within the full frame of UCASS can be recommended. Depending upon the results of the analysis, a hybrid approach to the collection of EDI characteristics could be adopted for the full frame:

• for those universities that are able to report the EDI information that this could be done directly and,
• for those universities that do not have an established EDI collection in place or that the mechanism under which the EDI data are collected does not permit sharing with Statistics Canada, the collection of personal identifiers to facilitate data linkage with the Census could be an option.

During the 1990's, Statistics Canada collected data on part-time university teaching staff with limited success. Some of the challenges included that part-time academic staff were not unionized and the impetus to collect information on them by institutions was not as critical. As well, the definition of part-time staff in the survey was also not clear and well understand by respondents.

3. Proportionality:

A data collection on EDI and contract staff on university academics will support enhanced statistics on diverse populations, and support the government's, non-government organizations' and society's efforts to address systemic racism, gender gaps—including the power gaps between men and women—and bring fairness and inclusion considerations into decision making. Ultimately, the collection of more robust disaggregated data on the under-represented groups within the academic community (EDI groups and part-time/contract staff) will contribute to a more equitable employment environment in Canadian universities. This would include an environment where research funds are distributed according to how the groups under consideration are represented in the Canadian population and the academic community. It would also allow to inform the extent by which work precarity exists within the academic teaching community. While, these added variables are sensitive, the pilot will allow us to assess the proportional benefit of them especially with respect to the risk to privacy for these academics.

As well, there is much anecdotal evidence that those academics from the under represented groups suffer a disadvantage in terms of promotions, moving through the ranks and salaries. However, there is no national comparable source of information to evaluate this.

While the interested parties could attempt a data collection on their own, they recognize that Statistics Canada has a proven record of collecting and safeguarding sensitive data. And since the FT-UCASS is an established and well- respected data collection, it is felt that adding EDI questions to this, would facilitate the collection of such data and safeguard the privacy and confidentiality of respondents.

The pilot project will allow Statistics Canada to assess the challenges to reporting and the sensitivity of reporting out such information. Any risk factors that cannot be anticipated, will likely be identified as outcomes of the project. The goal of the pilot project is to seek to collect data from a mix of universities: small, medium and large size and with good geographical representation. It is expected that any challenges arising from this data collection will be identified before a large- scale data collection is launched. The outcome of the pilot project will be to recommend if this data collection is feasible for all universities.

4. Alternatives:

As it stands, there is no centralized data collection on EDI characteristics of academic staff in Canada or on contract staff in postsecondary institutions. A one-time collection of data on Postsecondary Faculty and Researchers cannot be used to establish benchmarks because there was no unified sample frame used in the collection.

The granting agencies (NSERC, SSHRC and CIHR) have a self- identification questionnaire for all Canadian Research Chair applicants. This just a subset of academics in Canadian universities and does not represent the total academic staff in Canada, thereby making it impossible to use this source to establish benchmarks for this population.

While there was a collection on contract staff (part-time faculty) in the 1990's, it was cancelled due to coverage issues. Best practices and lessons learned will be employed from this data collection in the possible implementation of a full -scale data collection if deemed appropriate after the results of the pilot project are analyzed.

The Canadian Association of University Teachers also conducted a one- time study of the number of contract staff by submitting Access to Information requests to universities, however, this approach is not sustainable over the long term.

Provincial associations have done one- time studies of contract staff however, these are sporadic and have not been translated into consistent data collection.

The goal of the feasibility study is to analyze the benefits and disadvantages of collecting EDI information on university academic either through data integration or by direct collection from the universities' internal collection on EDI. As well, it is to determine the parameters and definitions that will be used in defining and collecting data on contract staff in Canadian universities. Information from all existing data collections on such staff will be used to augment the development of the feasibility study and the permanent data collection if deemed feasible.

Mitigation factors

When collected in universities, EDI information is self-reported by academic staff and not all individuals choose to report EDI characteristics for various reasons (fear of reprisals from employer, fear of being blocked from achieving tenure and movement through the ranks, inherent bias etc.). EDI information is generally considered sensitive, particularly gender identity, sexual orientation or disability status. Data reported to UCASS comes from Human Resource systems, it may be that some university academics would not want their self-identified EDI information attached to the human resources records. Therefore, data linkage to existing datasets that include this information using personal identifiers could mitigate the intrusiveness of requiring that information to be collected via Human Resource data from the institutions.

The overall risk of harm to the survey respondents has been deemed manageable with existing Statistics Canada safeguards that are described in Statistics Canada's Generic Privacy Impact Assessment, as well as with the following measures: Any information from those universities that participate in the feasibility study would be sent to Statistics Canada by the electronic file transfer system to ensure the security of the data being transferred. Data analysis and processing take place on established Statistics Canada secure networks. At reception, we would create two separate files: UCASS main file (current variables) and UCASS ID file (linkage variables): Unique ID #, gender, Province, first name, last name, date of birth. This file would be used only for assigning an anonymous identifier to be used in a secure data integration environment (SDLE) that would allow data integration with Census or other STC survey to estimate EDI information.

At the outset, the nominal information will be removed from the records and replaced with an anonymized key. The UCASS team would create a dissemination file excluding new personal identifiers variables. We will have each institution in the pilot project (and eventually if successful all institutions in the UCASS survey frame) complete and sign an authorization to release aggregate data by pilot institutions. They would also approve validation tables with EDI specific comparators (Census-NOC-CMA). Additionally, staff identifiers would be replaced with a randomly generated synthetic identifier as part of the regular production process for UCASS.

There is a low risk that those academics who have identified as being in the under-represented groups could be identified due to small numbers, the size of institution or because of geographic disaggregation (e.g. there is only one university in Newfoundland and Prince Edward Island) if these new data elements were to be include on the UCASS file accessible in Statistics Canada research data center. The purpose of the pilot project is to look at the data collected and analyze the outcomes to determine the most secure way to disseminate such information if a wide-scale collection is implemented. However, a plan of action cannot be established until results have been collected and analyzed. Any further mitigations will be identified during this pilot phase with a view to implement them before the project goes into full production.

Conclusion

This assessment concludes that the risk is deemed manageable by Statistics Canada and there is no privacy impediment for this pilot to go ahead. Further, an SPIA that covers this activity in its entirety will be conducted in the event that this becomes a regular survey.

Formal approval

This Supplementary Privacy Impact Assessment has been reviewed and recommended for approval by Statistics Canada's Chief Privacy Officer, Director General for Modern Statistical Methods and Data Science, and Assistant Chief Statistician for Social, Health and Labour Statistics.

The Chief Statistician of Canada has the authority for section 10 of the Privacy Act for Statistics Canada, and is responsible for the Agency's operations, including the program area mentioned in this Supplementary Privacy Impact Assessment.

This Privacy Impact Assessment has been approved by the Chief Statistician of Canada.

Classifications, variables and statistical units by subject

Title	Subject	Type
Province or territory of intended destination of immigrant	Immigration and ethnocultural diversity	Variable
Pre-admission experience of immigrant	Immigration and ethnocultural diversity	Variable
Pre-admission experience	Immigration and ethnocultural diversity	Classification
Admission category	Immigration and ethnocultural diversity	Classification
Accommodations of collective dwellings	Housing	Classification
After-tax income	Income, pensions, spending and wealth	Classification
After-tax income of persons	Income, pensions, spending and wealth	Classification
Age categories by five-year age groups	Population and demography	Classification
Apprenticeship certificates	Education, training and learning	Classification
Canadian citizenship status	Immigration and ethnocultural diversity	Classification
Canadian Classification of Institutional Units and Sectors (CCIUS) 2012	Education, training and learning	Classification
Canadian Research and Development Classification (CRDC) 2020 Version 2.0 - Field of Research (FOR)	Science and technology	Classification
Canadian Research and Development Classification (CRDC) 2020 Version 2.0 - Socioeconomic Objective (SEO)	Science and technology	Classification
Canadian Research and Development Classification (CRDC) 2020 Version 2.0 - Type Of Activity (TOA)	Science and technology	Classification
Census family status	Families, households and marital status	Classification
Census family status, variant with children	Families, households and marital status	Classification
Census family structure (for census family)	Families, households and marital status	Classification
Census family type	Families, households and marital status	Classification
Chart of accounts (COA) Canada 2006 - Balance sheet accounts - Assets	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Balance sheet accounts - Equity	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Balance sheet accounts - Liabilities	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Income statement - Expenses	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Income statement - Extraordinary Gains/Losses, Non-recurring Items & Adjustments	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Income statement - Gains/Losses, Corporate Taxes and Other Items	Economic accounts	Classification
Chart of accounts (COA) Canada 2006 - Income statement - Revenue	Economic accounts	Classification
Child presence	Children and youth; Families, households and marital status	Classification
Cisgender, transgender and non-binary	Population and demography	Classification
Class of Worker	Labour	Classification
Class of worker - variant on employees and self-employed	Labour	Classification
Classification of Instructional Programs (CIP) Canada 2021 Version 1.0	Education, training and learning	Classification
Classification of the Economic Territory of Canada (CETC) 2011	Economic accounts	Classification
College, CEGEP or other non-university certificates or diplomas	Education, training and learning	Classification
Combinations of college, CEGEP or other non-university certificate or diploma with a bachelor's degree or higher	Education, training and learning	Classification
Combinations of certificates, diplomas and degrees awarded	Education, training and learning	Classification
Combinations of trades certificates and diplomas	Education, training and learning	Classification
Commuting destination	Labour	Classification
Commuting vehicle occupancy	Labour	Classification
Completion of secondary (high) school diploma or equivalency certificate	Education, training and learning	Classification
Condominium status	Housing	Classification
Core housing need	Housing	Classification
Variant of the Standard Classification of Countries and Areas of Interest 2022 for Social Statistics	Society and community	Classification
Country of Citizenship 2021	Immigration and ethnocultural diversity	Classification
Degree in medicine, dentistry, veterinary medicine or optometry	Education, training and learning	Classification
Drainage Regions - Variant of SDAC 2003	Environment	Classification
Duration of commute	Labour	Classification
Dwelling condition	Housing	Classification
Ecological Land Classification (ELC) 2017	Environment	Classification
Economic family status	Families, households and marital status	Classification
Economic family structure (for economic family)	Families, households and marital status	Classification
Economic family type	Families, households and marital status	Classification
Educational qualifications responses	Education, training and learning	Classification
Educational qualifications responses - variant for alternate reporting	Education, training and learning	Classification
Employed Status	Labour	Classification
Enrollment under an Inuit land claims agreement	Indigenous peoples	Classification
Ethnic or cultural origin: Single or multiple response indicator	Immigration and ethnocultural diversity	Classification
Ethnic or cultural origins 2021 - List	Immigration and ethnocultural diversity	Classification
Family size (for economic family)	Families, households and marital status	Classification
First Official Language Spoken	Languages	Classification
Frequency of Participation in Religious Activities (with once a day)	Society and community	Classification
Frequency of Participation in Religious Activities (without once a day)	Society and community	Classification
Full-time and Part-Time Work Hours	Labour	Classification
Full-time or part-time weeks worked during the reference year	Labour	Classification
Gender	Population and demography	Classification
Gender diversity status	Families, households and marital status	Classification
Gender diversity status of marriage or common-law union	Families, households and marital status	Classification
Gender diversity status of marriage or common-law union, variant	Families, households and marital status	Classification
Gender diversity status, variant	Families, households and marital status	Classification
Generation status	Immigration and ethnocultural diversity	Classification
Health problems, self-reported	Health	Classification
Health Regions (HR) 2017	Health	Classification
Health Regions for Alternate Reporting - Variant of HR 2017	Health	Classification
Health satisfaction, self-assessed	Health	Classification
Highest certificate, diploma or degree	Education, training and learning	Classification
Highest educational attainment	Education, training and learning	Classification
Highest educational attainment - variant for alternate reporting	Education, training and learning	Classification
Hours of activity per week	Labour	Classification
Household living arrangements	Families, households and marital status	Classification
Household maintainer status	Families, households and marital status	Classification
Household type	Families, households and marital status	Classification
Household type, multigenerational variant	Families, households and marital status	Classification
Housing suitability	Families, households and marital status	Classification
Immigration applicant type	Immigration and ethnocultural diversity	Classification
Immigrant status	Immigration and ethnocultural diversity	Classification
Indigenous ancestry	Indigenous peoples	Classification
Indigenous ancestry responses 2021 - List	Indigenous peoples	Classification
Indigenous group	Indigenous peoples	Classification
Indigenous group response	Indigenous peoples	Classification
Indigenous identity	Indigenous peoples	Classification
In-Migration, Five years	Immigration and ethnocultural diversity	Classification
In-Migration, One year	Immigration and ethnocultural diversity	Classification
Income sources	Income, pensions, spending and wealth	Classification
Institution of school attendance	Education, training and learning	Classification
Knowledge of Official Languages	Languages	Classification
Labour Force Status	Labour	Classification
Labour Force Status - Collapsed classification	Labour	Classification
Languages 2021 - Inuit languages variant	Languages	Classification
Languages 2021 - Indigenous languages variant - List	Languages	Classification
Languages 2021 - List	Languages	Classification
Languages 2021 - total responses - List	Languages	Classification
Languages 2021 - Collapsed classification	Languages	Classification
Legal marital status	Families, households and marital status	Classification
Level of perceived health	Health	Classification
Living in family household	Families, households and marital status	Classification
Location of study	Education, training and learning	Classification
Location of study compared with province or territory of residence	Education, training and learning	Classification
Low-income status	Income, pensions, spending and wealth	Classification
Main reason for absence from work (main reason for time lost)	Labour	Classification
Main reason for not working the full year	Labour	Classification
Main reason for work interruptions	Labour	Classification
Main reason for working mostly part time	Labour	Classification
Marital status	Families, households and marital status; Society and community	Classification
Marital status - short title variant for dissemination	Society and community; Families, households and marital status	Classification
Membership in a First Nation or Indian band	Indigenous peoples	Classification
Membership in a Métis organization or Settlement	Indigenous peoples	Classification
Military service status	Labour	Classification
Mobility status, five years	Population and demography	Classification
Mobility status, one year	Population and demography	Classification
Mode of commuting	Labour	Classification
National Occupational Classification (NOC) 2021 Version 1.0	Labour	Classification
Non-official languages 2021 - List	Languages	Classification
North American Product Classification System (NAPCS) Canada 2022 Version 1.0	Manufacturing	Classification
North American Industry Classification System (NAICS) Canada 2022 Version 1.0	Labour	Classification
Number of bedrooms	Housing	Classification
Number of children ever born	Population and demography	Classification
Number of Citizenships	Immigration and ethnocultural diversity	Classification
Number of earners	Income, pensions, spending and wealth	Classification
Number of Non-official Language(s)	Languages	Classification
Number of persons per room	Housing	Classification
Number of rooms	Housing	Classification
Number of rooms - Collapsed classification	Housing	Classification
Number of years of education attended	Education, training and learning	Classification
Number of years of education completed	Education, training and learning	Classification
Number of years of other non-university education completed	Education, training and learning	Classification
Number of years of university education completed	Education, training and learning	Classification
Opposite- or same-sex married spouse or common-law partner	Families, households and marital status	Classification
Opposite- or same-sex status	Families, households and marital status	Classification
Out-Migration, Five years	Population and demography	Classification
Out-Migration, One year	Population and demography	Classification
Period of construction	Construction; Housing	Classification
Place of birth	Population and demography	Classification
Place of birth of parent	Population and demography	Classification
Place of birth of parents	Population and demography	Classification
Place of work status	Labour	Classification
Population Centre and Rural Area Classification 2016	Population and demography	Classification
Population group	Immigration and ethnocultural diversity; Population and demography	Classification
Primary activity status	Labour	Classification
Recipient of unpaid service	Labour	Classification
Registered or Treaty Indian status	Indigenous peoples	Classification
Relationship structure	Families, households and marital status	Classification
Religions 2021 - Collapsed List	Society and community	Classification
Religions 2021 - List	Society and community	Classification
Residence inside or outside Inuit Nunangat	Indigenous peoples	Classification
Residence on or off reserve 2021	Indigenous peoples	Classification
Residential structures	Housing	Classification
Retirement	Labour; Older adults and population aging	Classification
Sex at birth	Population and demography	Classification
Sex at birth, variant	Population and demography	Classification
Sex of reference person in a family	Families, households and marital status	Classification
Sex of reference person of lone-parent family	Families, households and marital status	Classification
Shelter cost to income ratio	Housing; Income, pensions, spending and wealth	Classification
Source(s) of financial compensation received during absence from work	Labour	Classification
Standard Classification of Countries and Areas of Interest (SCCAI) 2022	Population and demography	Classification
Standard Drainage Area Classification (SDAC) 2003	Environment	Classification
Standard Geographical Classification (SGC) 2021	Population and demography	Classification
Status of presence of mortgage payments	Families, households and marital status	Classification
Status of school attendance	Education, training and learning	Classification
Status of school enrolment	Education, training and learning	Classification
Status of subsidized housing	Housing	Classification
Status of tenure of household	Housing	Classification
Stepfamily status	Children and youth; Families, households and marital status	Classification
Time arriving at work	Labour	Classification
Time leaving for work	Labour	Classification
Total income	Income, pensions, spending and wealth	Classification
Total income of person	Income, pensions, spending and wealth	Classification
Type of Canadian Citizenship	Immigration and ethnocultural diversity	Classification
Type of Citizenship Response	Immigration and ethnocultural diversity	Classification
Type of Participation in Religious Activities	Society and community	Classification
Type of union of couple	Families, households and marital status	Classification
Unpaid care	Labour	Classification
Usual Weekly Work Hours	Labour	Classification
Usual Weekly Work Hours - Collapsed classification	Labour	Classification
Variant: Population Centre and Rural Area 2016 by Province and Territory	Population and demography	Classification
Variant of the National Occupational Classification (NOC) 2021 Version 1.0 for Analysis by TEER (Training, Education, Experience and Variant of the National Occupational Classification (NOC) 2021 Version 1.0 for Analysis by TEER (Training, Education, Experience and Responsibility)	Labour	Classification
Variant of the National Occupational Classification (NOC) 2021 Version 1.0 for Science, Technology, Engineering and Mathematics (STEM)	Science and technology	Classification
Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Alternative primary groupings	Education, training and learning	Classification
Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Primary groupings	Education, training and learning	Classification
Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings	Education, training and learning	Classification
Variant of the National Occupational Classification (NOC) 2021 Version 1.0 for Analysis by TEER (Training, Education, Experience and Responsibility) categories	Labour	Classification
Variant of the National Occupational Classification (NOC) 2021 Version 1.0 for Science, Technology, Engineering and Mathematics (STEM)	Science and technology	Classification
Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Agricultural goods (extension variant)	Agriculture and food	Classification
Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Farm Product Price Index - FPPI (regrouping variant)	Agriculture and food	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Content and media sector	Digital economy and society	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Durable and non-durable manufacturing industries	Manufacturing	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Energy sector	Energy	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Goods and services producing industries	Business and consumer services and culture	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Industrial production (based on the 2008 International Recommendations for Industrial Statistics)	Manufacturing	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Industrial production (based on the 1950 United Nations definition)	Manufacturing	Classification
Variant of the North American Industry Classification System (NAICS) 2022 Version 1.0 for Information and communication technology (ICT) sector	Digital economy and society	Classification
Variant of NAPCS Canada 2012 Version 1.1 - Capital expenditures on non-residential construction	Construction	Classification
Variant of NAPCS Canada 2017 Version 1.0 - Merchandise import and export accounts	International trade; Economic accounts	Classification
Variant of NAPCS Canada 2017 Version 2.0 - Industrial Product Price Index (IPPI)	Prices and price indexes	Classification
Variant of NAPCS Canada 2017 Version 2.0 - Manufacturing and Logging Rev.1	Manufacturing	Classification
Variant of NAPCS Canada 2017 Version 2.0 - Raw Materials Price Index (RMPI)	Prices and price indexes	Classification
Variant of NOC 2016 Version 1.0 - Highly aggregated data	Labour	Classification
Variant of Standard Geographical Classification (SGC) 2021 for Statistical area classification	Population and demography	Classification
Variant of Standard Geographical Classification (SGC) 2021 for Statistical area classification by Province and Territory	Population and demography	Classification
Variant of Standard Geographical Classification (SGC) 2021 for Economic Regions	Population and demography	Classification
Variant of Standard Geographical Classification (SGC) 2021 for Agricultural Regions	Population and demography	Classification
Variant of Standard Geographical Classification (SGC) 2021 for North and South	Population and demography	Classification
Variant of status of tenure of household	Housing	Classification
Visible minority	Immigration and ethnocultural diversity	Classification
Weeks worked during the reference year	Labour	Classification
Work activity during the reference year	Labour	Classification
Work interruption in the reference period	Labour	Classification
Industry of establishment	Business and consumer services and culture	Variable
Industry of experienced labour force person	Business and consumer services and culture	Variable
Stepfamily status of couple family with children	Children and youth; Families, households and marital status	Variable
Period of construction of private dwelling	Construction	Variable
College, CEGEP or other non-university certificates or diplomas of person	Education, training and learning	Variable
Degree in medicine, dentistry, veterinary medicine or optometry of person	Education, training and learning	Variable
Educational attainment of person	Education, training and learning	Variable
Educational qualifications of person	Education, training and learning	Variable
Field of study of person	Education, training and learning	Variable
Location of study of person	Education, training and learning	Variable
Number of years of education attended of person	Education, training and learning	Variable
Number of years of education completed of person	Education, training and learning	Variable
Number of years of other non-university education completed of person	Education, training and learning	Variable
Number of years of university education completed of person	Education, training and learning	Variable
School attendance of person	Education, training and learning	Variable
Secondary (high) school diploma or equivalency certificate of person	Education, training and learning	Variable
Trades certificates and diplomas of person	Education, training and learning	Variable
Year of certificate, diploma or degree completion of person	Education, training and learning	Variable
Census family status of person	Families, households and marital status	Variable
Census family structure (for census family) Variable	Families, households and marital status	Variable
Child presence in census family	Children and youth; Families, households and marital status	Variable
Child presence in economic family	Families, households and marital status	Variable
Economic family status of person	Families, households and marital status	Variable
Economic family structure (for economic family) Variable	Families, households and marital status	Variable
Family size (for census family)	Families, households and marital status	Variable
Family size (for economic family) Variable	Families, households and marital status	Variable
Gender diversity status of couple family	Families, households and marital status	Variable
Gender diversity status of marriage or common-law union of person	Families, households and marital status	Variable
Household living arrangements of person not in a census family	Families, households and marital status	Variable
Household maintainer status of person	Families, households and marital status	Variable
Household size of private household	Families, households and marital status	Variable
Household type of private household	Families, households and marital status	Variable
Housing suitability of private household	Families, households and marital status	Variable
Legal marital status of person	Families, households and marital status	Variable
Living in a family household (for person)	Families, households and marital status	Variable
Marital status of person	Families, households and marital status	Variable
Opposite- or same-sex married spouse or common-law partner of person	Families, households and marital status	Variable
Opposite- or same-sex status of couple family	Families, households and marital status	Variable
Relationship structure of stepfamily	Families, households and marital status	Variable
Sex of reference person of economic family	Families, households and marital status	Variable
Sex of reference person of lone-parent family Variable	Families, households and marital status	Variable
Type of census family	Families, households and marital status	Variable
Type of economic family	Families, households and marital status	Variable
Type of union of couple Variable	Families, households and marital status	Variable
Health problems, self-reported of person	Health	Variable
Health satisfaction, self-assessed of person	Health	Variable
Perceived health of person	Health	Variable
Accommodation type of collective dwelling	Housing	Variable
Bedrooms of private dwelling	Housing	Variable
Condominium status of private dwelling	Housing	Variable
Core housing need of private household	Housing	Variable
Dwelling condition of private dwelling	Housing	Variable
Persons per room of private household	Housing	Variable
Presence of mortgage payments of owner household	Housing; Income, pensions, spending and wealth	Variable
Rooms of private dwelling	Housing	Variable
Shelter cost of private household	Housing; Income, pensions, spending and wealth	Variable
Shelter-cost-to-income ratio of private household	Housing; Income, pensions, spending and wealth	Variable
Structural type of private dwelling	Housing	Variable
Subsidized housing of renter household	Housing	Variable
Tenure of private household	Housing	Variable
Value (owner estimated) of private dwelling	Housing; Income, pensions, spending and wealth	Variable
Admission category of immigrant	Immigration and ethnocultural diversity	Variable
Age at immigration of immigrant	Immigration and ethnocultural diversity	Variable
Applicant type of immigrant	Immigration and ethnocultural diversity	Variable
Citizenship of person	Immigration and ethnocultural diversity	Variable
Ethnic or cultural origin of person	Immigration and ethnocultural diversity	Variable
Generation status of person	Immigration and ethnocultural diversity	Variable
Immigrant status of person	Immigration and ethnocultural diversity	Variable
Place of origin of person	Immigration and ethnocultural diversity	Variable
Population group of person	Immigration and ethnocultural diversity	Variable
Visible minority of person	Immigration and ethnocultural diversity	Variable
Year of arrival of person	Immigration and ethnocultural diversity	Variable
Year of immigration of immigrant	Immigration and ethnocultural diversity	Variable
Adjusted after-tax income of economic family	Income, pensions, spending and wealth	Variable
Adjusted after-tax income of person not in economic family	Income, pensions, spending and wealth	Variable
Adjusted after-tax income of private household	Income, pensions, spending and wealth	Variable
Adjusted total income of private household	Income, pensions, spending and wealth	Variable
After-tax income of census family	Income, pensions, spending and wealth	Variable
After-tax income of economic family	Income, pensions, spending and wealth	Variable
After-tax income of person	Income, pensions, spending and wealth	Variable
After-tax income of private household	Income, pensions, spending and wealth	Variable
Income sources of person	Income, pensions, spending and wealth	Variable
Low-income status of economic family	Income, pensions, spending and wealth	Variable
Low-income status of person	Income, pensions, spending and wealth	Variable
Low-income status of private household	Income, pensions, spending and wealth	Variable
Number of earners of economic family	Income, pensions, spending and wealth	Variable
Total income of census family	Income, pensions, spending and wealth	Variable
Total income of economic family	Income, pensions, spending and wealth	Variable
Total income of person Variable	Income, pensions, spending and wealth	Variable
Total income of private household	Income, pensions, spending and wealth	Variable
Enrollment under an Inuit land claims agreement of person	Indigenous peoples	Variable
Indigenous ancestry of person	Indigenous peoples	Variable
Indigenous group of person	Indigenous peoples	Variable
Indigenous identity of person	Indigenous peoples	Variable
Membership in a First Nation or Indian band of person	Indigenous peoples	Variable
Membership in a Métis organization or Settlement of person	Indigenous peoples	Variable
Registered or Treaty Indian status of person	Indigenous peoples	Variable
Residence inside or outside Inuit Nunangat of person	Indigenous peoples	Variable
Residence on or off reserve of person	Indigenous peoples	Variable
Absences from work of employed person	Labour	Variable
Class of worker of employed person	Labour	Variable
Class of worker of experienced labour force person	Labour	Variable
Class of worker of person with recent work experience	Labour	Variable
Commuting destination of employed person	Labour	Variable
Commuting duration of employed person	Labour	Variable
Commuting vehicle occupancy of employed person	Labour	Variable
Distance (straight-line) from home to work of employed person	Labour	Variable
Industry of employed person	Labour	Variable
Industry of person with recent work experience	Labour	Variable
Labour force status of person	Labour	Variable
Location of workplace of employed person	Labour	Variable
Main mode of commuting of employed person	Labour	Variable
Main reason for not working the full year of person 15 years or over	Labour	Variable
Main reason for working mostly part time of person 15 years or over	Labour	Variable
Military service status of person	Labour	Variable
Multiple modes of commuting of employed person	Labour	Variable
Occupation of employed person	Labour	Variable
Occupation of experienced labour force person	Labour	Variable
Occupation of person with recent work experience	Labour	Variable
Place of work status of employed person	Labour	Variable
Retirement of person aged 55 or over	Labour; Older adults and population aging	Variable
Time arriving at work of employed person	Labour	Variable
Time leaving for work of employed person	Labour	Variable
Unpaid care provided by person	Labour	Variable
Unpaid housework by person	Labour	Variable
Usual work hours of employed person	Labour	Variable
Work activity during the reference year of person 15 years or over	Labour	Variable
Work interruptions of person	Labour	Variable
All languages spoken at home of person	Languages	Variable
All languages used at work of person 15 years or over	Languages	Variable
First official language spoken of person	Languages	Variable
Knowledge of non-official languages of person	Languages	Variable
Knowledge of official languages of person	Languages	Variable
Language spoken most often at home of person	Languages	Variable
Language used most often at work of person 15 years or over	Languages	Variable
Mother tongue of person	Languages	Variable
Other language(s) spoken regularly at home of person	Languages	Variable
Other language(s) used regularly at work of person 15 years or over	Languages	Variable
Age of person	Population and demography	Variable
Age-specific fertility rate of females	Population and demography	Variable
Children ever born of female	Population and demography	Variable
Components of migration (in and out), five years, of geographic area	Population and demography	Variable
Components of migration (in and out), one year, of geographic area	Population and demography	Variable
Gender of person	Population and demography	Variable
Location of residence five years ago of person	Population and demography	Variable
Location of residence one year ago of person	Population and demography	Variable
Mobility status, five years, of person	Population and demography	Variable
Mobility status, one year, of person	Population and demography	Variable
Place of birth of parent of person	Population and demography	Variable
Place of birth of person	Population and demography	Variable
Sex at birth of person	Population and demography	Variable
Total fertility rate of females	Population and demography	Variable
Usual place of residence in Canada of person	Population and demography	Variable
Participation in religious activities of person	Society and community	Variable
Religion of person	Society and community	Variable
Building	Housing; Construction	Statistical unit
Building unit	Housing; Construction	Statistical unit
Census family	Population and demography	Statistical unit
Collective dwelling	Housing; Construction	Statistical unit
Company	Business performance and ownership	Statistical unit
Couple	Population and demography; Families, households and marital status	Statistical unit
Couple family	Population and demography; Families, households and marital status	Statistical unit
Couple family with children	Population and demography; Families, households and marital status	Statistical unit
Dwelling	Housing; Construction	Statistical unit
Economic family	Population and demography; Families, households and marital status	Statistical unit
Employed person	Population and demography; Labour	Statistical unit
Enterprise	Business performance and ownership	Statistical unit
Establishment	Business performance and ownership	Statistical unit
Experienced labour force person	Population and demography; Labour	Statistical unit
Female	Population and demography	Statistical unit
Foreign resident	Population and demography; Immigration and ethnocultural diversity	Statistical unit
Geographic area	Population and demography	Statistical unit
Household	Population and demography; Families, households and marital status	Statistical unit
Immigrant	Population and demography; Immigration and ethnocultural diversity	Statistical unit
Location	Business performance and ownership	Statistical unit
Lone-parent family	Population and demography; Families, households and marital status	Statistical unit
Non-permanent resident	Population and demography; Immigration and ethnocultural diversity	Statistical unit
Owner household	Families, households and marital status; Housing	Statistical unit
Person	Population and demography	Statistical unit
Person 15 years or over	Population and demography	Statistical unit
Person aged 55 or over	Population and demography	Statistical unit
Person not in a census family	Population and demography; Families, households and marital status	Statistical unit
Person not in economic family	Population and demography; Families, households and marital status	Statistical unit
Person with recent work experience	Population and demography; Labour	Statistical unit
Private dwelling	Housing	Statistical unit
Private household	Families, households and marital status; Housing	Statistical unit
Renter household	Families, households and marital status; Housing	Statistical unit
Stepfamily	Population and demography	Statistical unit

On November 30, Statistics Canada will be releasing the seventh and last set of results from the 2021 Census of Population.

This release will focus on:

• Education in Canada
• The changing dynamics of the Canadian labour force and how people get to work
• Instruction in the minority official language

The census webinar will provide you with key information including:

• Concepts and definitions;
• High-level national, provincial, and territorial findings; and
• Instructions on how to access data products and resources online

Following the presentation, Statistics Canada officials will be available to answer questions.

Webinar video:

• 2021 Census of Population: Education, Labour, Language of work, Commuting, and Instruction in the minority official language

What is the 2021 Census of Population Webinar Series?

The 2021 Census of Population Webinar Series is based on our most recent census, held on May 11, 2021. The census provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. The webinars will be presented after the major data releases scheduled between February 9 and November 30, 2022 and will share information on concepts, data products, and resources available from the 2021 Census.

Stay tuned for webinars on demography, families, Canadian military experience, income, linguistic diversity, indigenous peoples, housing, ethnocultural and religious diversity, immigration and mobility, education, labour and more.

Why are we conducting this survey?

The Wholesale Price Report collects prices of product transactions to create the Wholesale Services Price Index (WSPI). This index measures the price movements of services provided by wholesalers and can be joined with other business service indexes to provide better estimates of real output and productivity, monitor inflation and feed an important research agenda at Statistics Canada.

The WSPI can also be used by businesses to measure their performance against industry trends or for international comparisons of productivity, inflation or trade.

Your information may also be used by Statistics Canada for other statistical and research purposes.

Your participation in this survey is required under the authority of the Statistics Act.

Authorization to collect this information

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Confidentiality

By law, Statistics Canada is prohibited 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. Statistics Canada will use the information from this survey for statistical purposes only.

Record linkages

To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.

Reporting instructions

For each product, please verify the product specifications and the purchase and selling price currencies, and report monthly average purchase prices and monthly average selling prices for the current quarter. Please also report any missing historical data.

The products selected must meet the following criteria

• Is a major annual wholesale revenue generator for this business,
• Is sold regularly throughout the year, and
• Typically generates positive margins (i.e., sold at a higher price than it is purchased)

If a product no longer satisfies the above criteria, please select another product.

If precise figures are not available, please provide your best estimates.

Deadline for completing this questionnaire

Please complete this questionnaire and submit it within 10 days of receipt.

Business or organization and contact information

1. Verify or provide the business or organization's legal and operating name and correct where needed.
Note: Legal name modifications should only be done to correct a spelling error or typo.
Legal name
Operating name (if applicable)

2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.

Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.

• First name
• Last name
• Title
• Preferred language of communication
• Mailing address (number and street)
• City
• Province, territory or state
• Postal code or ZIP code
• Country
• Email address
• Telephone number (including area code)
• Extension number (if applicable)
• Fax number (including area code)

3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.

• Operational
• Not currently operational
  • Why is this business or organization not currently operational?
    • Seasonal operations
    • Ceased operations
    • Sold operations
    • Amalgamated with other businesses or organizations
    • Temporarily inactive but will re-open
    • No longer operating due to other reasons
  • When did this business or organization close for the season?
    • Date
  • When does this business or organization expect to resume operations?
    • Date
  • When did this business or organization cease operations?
    • Date
  • Why did this business or organization cease operations?
    • Bankruptcy
    • Liquidation
    • Dissolution
    • Other
  • Specify the other reasons why the operations ceased
  • When was this business or organization sold?
    • Date
  • What is the legal name of the buyer?
  • When did this business or organization amalgamate?
    • Date
  • What is the legal name of the resulting or continuing business or organization?
  • What are the legal names of the other amalgamated businesses or organizations?
  • When did this business or organization become temporarily inactive?
    • Date
  • When does this business or organization expect to resume operations?
    • Date
  • Why is this business or organization temporarily inactive?
  • When did this business or organization cease operations?
    • Date
  • Why did this business or organization cease operations?

Attach files (if applicable)

1. Our records indicate that this business fulfills its reporting obligations using file attachment(s). Select and attach the required file(s) with pricing information for the reference quarter. You may also attach new or updated files for past periods if necessary.

Component list

2.(First quarter of reporting) According to our records, the following product categories generate the most wholesale revenue for your business.

These product categories were chosen based on typical business activities conducted in your industry. Product classification is based on the North American Product Classification System (NAPCS) version 2017.

For each category, select a product that:

• Is a major annual wholesale revenue generator for this business within this product category,
• Is sold regularly throughout the year, and
• Typically generates positive margins (i.e., sold at a higher price than it is purchased).

Product categories may be displayed more than once. This is to facilitate collection of multiple products within the same category. Do not select duplicate products.

(Subsequent quarters) These products were previously reported as representative of the wholesale activity for your business.

(If applicable) To maintain the quality of data Statistics Canada produces for the wholesale industry, we also require information for # additional product(s) sold by your business.

If an item is discontinued or no longer available, you will be asked to report for another product.

Product

3. Does the product fall under the following category: Product Category?

4. Indicate the product category to which the product belongs.
Search the product classification: type any product category or name.

5. Does the product meet the following criteria?

• The product is sold regularly throughout the year.
• The product is a major annual wholesale revenue generator for this business.

6. Was the product available for sale by this business between month 1 and month 3?

7. Why was this product not available for sale between month 1 and month 3?

• Seasonal item
• Temporarily out-of-stock or backordered
• Discontinued or no longer sold
• Other – specify

10. (First quarter of reporting) Enter the product information for a product within the category: Product Category.

Select a product that:

• Is a major annual wholesale revenue generator for this business within this product category,
• Is sold regularly throughout the year, and
• Typically generates positive margins (i.e., sold at a higher price than it is purchased).

(Subsequent quarters) Verify the product information below and update as necessary.

Product name
Product description
Manufacturer (if applicable)

Is this product currently imported?

• Yes
  • Select the country
    • China
    • Germany
    • France
    • India
    • Japan
    • Mexico
    • Philippines
    • South Korea
    • United Kingdom
    • United States
    • Other – specify
• No

Indicate the code used by your business to identify this product.

• An internal code – specify
• SKU (Stock Keeping Unit) – specify
• UPC (Universal Product Code) – specify
• PLU (Price Look Up) – specify
• Other – specify

What is the unit of measure for the purchase of this product?

• Each – specify size or weight
• In a package e.g., 12 cases per box, 24 packages per case, 12 cartons per case, 24 units per carton – specify number of items and size or weight
• In bulk e.g., per kilogram, litre, metre – specify size or weight
• Other – specify size or weight

What is the unit of measure for the sale of this product?

• Each – specify size or weight
• In a package e.g., 12 cases per box, 24 packages per case, 12 cartons per case, 24 units per carton – specify number of items and size or weight
• In bulk e.g., per kilogram, litre, metre – specify size or weight
• Other – specify size or weight

11. In what currency will you report the average purchase price and the average selling price for this product?

Note: If you have already converted prices in foreign currencies to Canadian dollars, please select "Canadian Dollars (CAN$)".

Purchase Price Currency

• Canadian Dollars (CAN$)
• American Dollars (US$)
• Euros (€)
• Japanese Yen (JP¥)
• Chinese Yuan (CN¥)
• Mexican Pesos (MXN)
• Other – specify

Selling Price Currency

• Canadian Dollars (CAN$)
• American Dollars (US$)
• Euros (€)
• Japanese Yen (JP¥)
• Chinese Yuan (CN¥)
• Mexican Pesos (MXN)
• Other – specify

12. (First quarter of reporting) Report monthly average prices for the product for the historical months listed below.

(Subsequent quarters) Review the monthly average prices for the product for the historical months listed below and correct as necessary.

If the business did not previously report prices for the historical months, report the missing information.

Report prices in the exact amount with 2 decimals.
e.g., 100.67, 100000.98.

Purchase price is the cost incurred by your business to acquire the product.
Include adjustments for discounts, rebates and freight.

Selling price is the amount received by your business for selling this product.
Include adjustments for discounts and promotions.
Exclude taxes and freight.

• Historical months
  • Purchase Price and Selling Price for historical month 0
  • Purchase Price and Selling Price for historical month 1
  • Purchase Price and Selling Price for historical month 2
  • Purchase Price and Selling Price for historical month 3

13. (Subsequent quarters) Did you revise the purchase price and/or the selling price between historical month 0 and historical month 3?

14. Report monthly average prices for the product for the months listed below.

Report prices in the exact amount with 2 decimals.
e.g., 100.67, 100000.98.

Purchase price is the cost incurred by your business to acquire the product.
Include adjustments for discounts, rebates and freight.

Selling price is the amount received by your business for selling this product.
Include adjustments for discounts and promotions.
Exclude taxes and freight.

• Current quarter
  • Purchase Price and Selling Price for current quarter month 1
  • Purchase Price and Selling Price for current quarter month 2
  • Purchase Price and Selling Price for current quarter month 3

15.For any month where the purchase price is not reported, select the reason why the purchase price is not reported

• Seasonal item
• Temporarily out-of-stock or Backordered
• No purchases
• Other reason – Specify

16. For any month where the selling price is not reported, select the reason why the selling price is not reported

• Seasonal item
• Temporarily out-of-stock or Backordered
• No sales
• Other reason – Specify

17. For any month where there was a change in the purchase price, select the main reason for the change in purchase price

• Change in contract terms
• Change in freight cost
• Change in product or product characteristics
• Change in supplier
• Change in supply or demand
• Commodity markets
• Competition
• Exchange rate
• Other (e.g., regulation change, weather, etc.)
• Comments (optional)

18. For any month where there was a change in the selling price, select the main reason for the change in selling price

• Change in contract terms
• Change in customer(s)
• Change in operating costs
• Change in product or product characteristics
• Change in purchase price of product
• Change in supply or demand
• Commodity markets
• Competition
• Exchange rate
• Promotion / End of Promotion
• Other (e.g., regulation change, weather, etc.)
• Comments (optional)

Product replacement (if applicable)

8. You indicated that the product was not available for sale.

OR Our records indicate that the average monthly selling prices reported for the product were frequently lower than the average monthly purchase prices, resulting in negative margins.
OR The product does not belong to the following category: Product Category.
OR Our records indicate that the product has not been regularly purchased or sold throughout the year.
OR You indicated that the product is not sold regularly throughout the year and is not a major annual wholesale revenue generator for this business.

Between month 1 and month 3, did this business have another product available for sale within the following category: Product Category?

Select a product that:

• Is a major annual wholesale revenue generator for this business within this product category,
• Is sold regularly throughout the year, and
• Typically generates positive margins (i.e., sold at a higher price than it is purchased).

9. Select the product category that generates the most wholesale revenue for your business.

The product categories listed were chosen based on typical business activities conducted in your industry.

19. Enter the product information for a replacement product within the category: Product Category.

Select a product that:

• Is a major annual wholesale revenue generator for this business within this product category,
• Is sold regularly throughout the year, and
• Typically generates positive margins (i.e., sold at a higher price than it is purchased).

Product name
Product description
Manufacturer (if applicable)

Is this product currently imported?

• Yes
  • Select the country
    • China
    • Germany
    • France
    • India
    • Japan
    • Mexico
    • Philippines
    • South Korea
    • United Kingdom
    • United States
    • Other – specify
• No

Indicate the code used by your business to identify this product.

• An internal code – specify
• SKU (Stock Keeping Unit) – specify
• UPC (Universal Product Code) – specify
• PLU (Price Look Up) – specify
• Other – specify

What is the unit of measure for the purchase of this product?

• Each – specify size or weight
• In a package e.g., 12 cases per box, 24 packages per case, 12 cartons per case, 24 units per carton – specify number of items and size or weight
• In bulk e.g., per kilogram, litre, metre – specify size or weight
• Other – specify size or weight

What is the unit of measure for the sale of this product?

• Each – specify size or weight
• In a package e.g., 12 cases per box, 24 packages per case, 12 cartons per case, 24 units per carton – specify number of items and size or weight
• In bulk e.g., per kilogram, litre, metre – specify size or weight
• Other – specify size or weight

20. In what currency will you report the average purchase price and the average selling price for this product?

Note: If you have already converted prices in foreign currencies to Canadian dollars, please select "Canadian Dollars (CAN$)".

Purchase Price Currency

• Canadian Dollars (CAN$)
• American Dollars (US$)
• Euros (€)
• Japanese Yen (JP¥)
• Chinese Yuan (CN¥)
• Mexican Pesos (MXN)
• Other – specify

Selling Price Currency

• Canadian Dollars (CAN$)
• American Dollars (US$)
• Euros (€)
• Japanese Yen (JP¥)
• Chinese Yuan (CN¥)
• Mexican Pesos (MXN)
• Other – specify

21. Report monthly average prices for the product for the months listed below.

Report prices in the exact amount with 2 decimals.
e.g., 100.67, 100000.98.

Purchase price is the cost incurred by your business to acquire the product.
Include adjustments for discounts, rebates and freight.
Selling price is the amount received by your business for selling this product.
Include adjustments for discounts and promotions.
Exclude taxes and freight.

• Previous quarter
  • Purchase Price and Selling Price for historical month 3
• Current quarter
  • Purchase Price and Selling Price for current quarter month 1
  • Purchase Price and Selling Price for current quarter month 2
  • Purchase Price and Selling Price for current quarter month 3

22. For any month where the purchase price is not reported, select the reason why the purchase price is not reported

• Seasonal item
• Temporarily out-of-stock or Backordered
• No purchases
• Other reason – Specify

23. For any month where the selling price is not reported, select the reason why the selling price is not reported

• Seasonal item
• Temporarily out-of-stock or Backordered
• No sales
• Other reason – Specify

24. For any month where there was a change in the purchase price, select the main reason for the change in purchase price

• Change in contract terms
• Change in freight cost
• Change in product or product characteristics
• Change in supplier
• Change in supply or demand
• Commodity markets
• Competition
• Exchange rate
• Other (e.g., regulation change, weather, etc.)
• Comments (optional)

25. For any month where there was a change in the selling price, select the main reason for the change in selling price

• Change in contract terms
• Change in customer(s)
• Change in operating cost
• Change in product or product characteristics
• Change in purchase price of product
• Change in supply or demand
• Commodity markets
• Competition
• Exchange rate
• Promotion / End of Promotion
• Other (e.g., regulation change, weather, etc.)
• Comments (optional)

Contact person

34. Statistics Canada may need to contact the person who completed this questionnaire for further information.

Is FirstName LastName the best person to contact?

• Yes
• No
  • Who is the best person to contact about this questionnaire?
    • First name
    • Last name
    • Title
    • Email address
    • Telephone number (including area code)
    • Extension number (if applicable)
    • Fax number (including area code)

Feedback

35. How long did it take to complete this questionnaire? Include the time spent gathering the necessary information.

• Hours
• Minutes

36. Do you have any comments about this questionnaire?