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Federal Science Expenditures and Personnel (FSEP) 2024/2025 – Activities in the social sciences, humanities and the arts

Information for respondents

Authority to publish

I hereby authorize Statistics Canada to disclose any or all portions of the data supplied on this questionnaire that could identify this department after the tabling of the forecast year Main Estimates.

Respondent Information:

Name of person authorized to sign
Signature
Official position
Program
Department or agency
E-mail address
Telephone number

Enquiries to be directed to:

Name
Date
Position title
Telephone number
Email address
Fax number

Purpose

This survey collects financial and operating data on expenditures and full-time equivalent personnel on the scientific activities of Federal Government Public Administration in Canada.

Additional information

The data collected are used by federal and provincial science policy analysts, and are also part of the gross domestic expenditures on research and development (GERD). Your information may also be used by Statistics Canada for other statistical and research purposes.

Authority

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

Completion of this questionnaire is a legal requirement under this Act.

Confidentiality

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. Statistics Canada will use the information from this survey for statistical purposes.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial and territorial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, and the Yukon.

The shared data will be limited to information pertaining to federal departments and agencies located within the jurisdiction of the respective province or territory.

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician and returning it with the completed questionnaire. Please specify the organizations with which you do not want to share your data.

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories, Nunavut and Industry Canada.

The shared data will be limited to information pertaining to federal departments and agencies located within the jurisdiction of the respective province or territory.

Record linkage

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

Security of emails and faxes

Statistics Canada advises you that there could be a risk of disclosure during the transmission of information by facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Return procedures

Please forward the completed questionnaire and listing of extramural performers through the Electronic File Transfer service (EFT).

For further inquiries:

Phone Number: toll free at 1-888-659-8229
Fax number: toll free at 1-800-755-5514
Email: statcan.fsepsurv-enqdmsf.statcan@statcan.gc.ca

Thank you for your co-operation.

FSEP - Introduction

This introduction is intended to provide an overview of the process of collecting science expenditure data; definitions of and explanatory notes on natural sciences and engineering, social sciences, humanities and the arts, scientific and technological activities, performance sectors, and other terms used are given in subsequent sections.

The collection of science expenditure data is organized by the Centre for Innovation, Technology and Enterprise Statistics (CITES) of Statistics Canada. This exercise was formerly conducted under the aegis of the Treasury Board of Canada Secretariat but is now solely a Statistics Canada survey.

Collection is undertaken to gather essential data describing the recent, current and proposed state of the federal resources allocated to science. Federal science expenditures data are provided to Industry Canada who in turn use the data in the development of advice to the Assistant Deputy Ministers' Steering Committee on the Management of S&T, their Minister and the Treasury Board of Canada Secretariat, as well as in policy development and in monitoring the implementation of science policies. Statistics Canada maintains historical expenditure series in natural sciences and engineering dating back to 1963 and to 1971 in the social sciences, humanities and the arts. These data are available through the Centre for Innovation, Technology and Enterprise Statistics (CITES) or through special requests.

The basic reporting unit is the budgetary program of a department or agency. Each budgetary program forms the subject of separate scientific expenditure reports for the natural and for the social science activities within it. Both the program and the program activities within it may be scientific in whole or in part only. Only expenditures on the scientific components of a program or its activity are reported. In some programs it will be difficult to distinguish between the natural and social sciences. However, some allocation must be made and in determining this allocation, the dominant orientation of the projects and the area of expertise of the personnel involved must be considered. Detailed definitions are given on the following pages.

On the questionnaires, the identified expenditures are looked at from several different viewpoints and in various subdivisions. Expenditures on research and development (R&D) and related scientific activities (RSA) are subdivided to provide an indication of the "what" of a department's scientific effort. Expenditures in each category of scientific activity are further subdivided into "current" and "capital" segments. Current expenditures are additionally subdivided by sector, to indicate the "where" and "by whom" the activity is performed (e.g., in business enterprise, in higher education).

The human resources allocated to scientific activities are summarized in terms of the involved categories of personnel (scientific and professional, technical, etc.) and the principal focus of their efforts (R&D, RSA and, administration of extramural programs).

When completed, checked for consistency with previous reports, entered into the database and totaled along the various dimensions, these data provide snapshots of the federal resources allocated to science, supporting not only the work of central agencies but also the submissions of departments and agencies requesting resources.

Purpose

This survey collects financial and operating data on expenditures and full-time equivalent personnel on the scientific activities of Federal Government Public Administration in Canada.

Question 1: Expenditures by activity and performer

General

The social sciences, humanities and the arts consist of disciplines involving the study of human actions and conditions and the social, economic and institutional mechanisms affecting humans. Included are such disciplines as arts, economics and business, education, history and archaeology, law, language and linguistics, media and communications, philosophy, ethics and religion, psychology and cognitive sciences, social and economic geography, and sociology.

Expenditures by activity and performer

Scientific and technological (S&T) activities can be defined as all systematic activities which are closely concerned with the generation, advancement, dissemination and application of scientific and technology knowledge in all fields of science and technology, that is the natural sciences and engineering, and the social sciences, humanities and the arts.

The central activity is scientific research and experimental development (R&D). In addition there are a number of activities closely related to R&D, and are termed related scientific activities (RSA). Those identified as being appropriate for the federal government in the social sciences, humanities and the arts are: general purpose data collection, information services, special services and studies and education support.

The performer is equivalent to the sector in which the scientific activity is conducted. The basic distinction is between intramural and extramural performance. Extramural payments are classified on the basis of the performance sectors to which they are made. The appropriate extramural performers are business enterprise, higher education, Canadian non-profit institutions, foreign performers, provincial and municipal governments, and other performers.

I. Performers

lntramural activities include all current expenditures incurred for scientific activities carried out by in-house personnel of units assigned to the program; the related gross fixed capital expenditures (acquisition of land, buildings, machinery and equipment for scientific activities); the administration of scientific activities by program employees; and, the purchase of goods and services to support in-house scientific activities (include royalties or licences for the use of patents and other intellectual property rights, the lease of capital goods (machinery and equipment, etc.) and the rental of buildings to support scientific activities performed by the statistical unit in the reference year).

The intramural expenditures reported for scientific activities are those direct costs, including salaries, associated with scientific programs. The costs should include that portion of a program's contribution to employee benefit plans (e.g., superannuation and compensation) which is applicable to the scientific personnel within the program. The summation of intramural R&D activity is synonymous with the performance of R&D for the entire economy (GERD).

Extramural performers are groups being funded by the federal government sector for S&T activities. In this survey the extramural performers include:

Business enterprise – business and government enterprises including public utilities and government-owned firms. Both financial and non-financial corporations are included. Incorporated consultants or unincorporated individuals providing scientific and engineering services are also included. Industrial research institutes located at Canadian universities are considered to be in the higher education sector.
Higher education – comprises all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status. It also includes teaching hospitals (non-teaching hospitals are in the Canadian non-profit sector) all research institutes, centers, experimental stations and clinics that have their scientific activities under the direct control of, or administered by, or associated with, the higher education establishments.
Canadian non-profit institutions – charitable foundations, voluntary health organizations, scientific and professional societies, non-teaching hospitals (teaching hospitals are in the higher education sector) and other organizations not established to earn profits. Non-profit institutions primarily serving or controlled by another sector should be included in the controlling sector.
Provincial and municipal governments – departments and agencies of these governments as well as provincial research organizations. Government enterprises, such as provincial utilities are included in the business enterprise sector, and non-teaching hospitals in the Canadian non-profit institutions sector.
Foreign performers – all foreign government agencies, foreign companies (including foreign subsidiaries of Canadian firms), international organizations, non-resident foreign nationals and Canadians studying or teaching abroad.

II. Research and experimental development (R&D)

Research and experimental development - comprise creative and systematic work undertaken in order to increase the stock of knowledge - including knowledge of humankind, culture and society - and to devise new applications of available knowledge.

R&D activities may be aimed at achieving either specific or general objectives. R&D is always aimed at new findings, based on original concepts (and their interpretation) or hypotheses. It is largely uncertain about its final outcome (or at least about the quantity of time and resources needed to achieve it), it is planned for and budgeted (even when carried out by individuals), and it is aimed at producing results that could be either freely transferred or traded in a marketplace.

For an activity to be an R&D activity, it must satisfy five core criteria:

To be aimed at new findings (novel);
To be based on original, not obvious, concepts and hypothesis (creative);
To be uncertain about the final outcome (uncertainty);
To be planned and budgeted (systematic);
To lead to results that could be possibly reproduced (transferable/or reproducible).

Examples of R&D:

A review of theories on the factors determining regional disparities in economic growth.
Understanding the fundamental dynamics of spatial interactions.
Comparative evaluations of national education programs aimed at reducing the learning gap experienced by disadvantaged communities.
Research studies analyzing the spatial-temporal patterns in the transmission and diffusion of an infectious disease outbreak.

Both "research" and "development" are often used with different meanings in the government. For example, it is increasingly common to hear that a person is "researching" something (i.e. the person is looking for information about something). Similarly, there are many units with either "research" or "development" or both terms in their titles which are concerned primarily with information gathering, speech writing, and preparation of position papers. These should be excluded from the scientific activity of R&D. On the other hand, a case study on unemployment in a specific region, if applying original techniques in interviewing survey respondents could include such data collection in its R&D effort. From a broad perspective, to the extent that the social sciences are using empirical data, the same guidelines have to be applied as for the natural sciences (although excluding the testing of their results on an experimental basis).

Many social scientists perform work in which they bring the established methodologies and facts of the social sciences to bear upon a particular problem, but which cannot be classified as research. The following are examples of work which might be included in this category and are not R&D: interpretative commentary on the probable economic effects of a change in the tax structure using existing economic data; forecasting future changes in the pattern of the demand for social services within a given area arising from an altered demographic structure; operations research as a contribution to decision-making, e.g. planning the optimal distribution system for a factory; the use of standard techniques in applied psychology to select and classify industrial and military personnel, students, etc., and to test children with reading or other disabilities.

1. In-house R&D – R&D performed by personnel of the reporting program. It may include R&D carried out on behalf of another program or federal government department.

2. R&D contracts – R&D contracts to an outside institution or individual to fund R&D performed by the institution or individual. The criterion is: would the performer report the R&D contract as in-house (intramural) R&D that is government-funded? If the answer is yes the activity would be an R&D contract. If no, and the funding is to provide goods and services necessary to support the in-house R&D of the federal government it should be reported as In-house R&D.

3. R&D grants and contributions – awards to organizations or individuals for the conduct of R&D and intended to benefit the recipients rather than provide the program with goods, services or information. These funds are normally identical to that portion of the budgetary "grants and contributions" line object of expenditure which is devoted to R&D activities.

4. Research fellowships – awards to individuals for advanced research training and experience. Awards intended primarily to support the education of the recipients should be reported as "education support".

5. Administration of extramural programs – the costs of identifiable units engaged in the administration of contracts and grants and contributions for scientific activities that are to be performed outside the federal government. These expenditures should be broken down by the type of scientific activity supported, i.e. R&D or RSA.

6. Capital expenditures – the annual gross amount paid for the acquisition of fixed assets that are used repeatedly or continuously in the performance of scientific activities for more than one year. They should be reported in full for the period when they took place, whether acquired or developed in house, and should not be registered as an element of depreciation.

The most relevant types of assets used for capital expenditures are:

Land and buildings
Machinery and equipment
Capitalized computer software
Other intellectual property products

III. Related scientific activities (RSA)

Related scientific activities (RSA) are all systematic activities which are closely concerned with the generation, advancement, dissemination and application of scientific and technological knowledge. The types of related scientific activities for the social sciences, humanities and the arts are described below.

7. In-house RSA – RSA performed by personnel of the reporting program. It may include RSA carried out on behalf of another program or federal government department.

In-house RSA activities include all current expenditures incurred for scientific activities carried out by in-house personnel of units assigned to the program; the purchase of goods and services to support in-house scientific activities (include royalties or licences for the use of patents and other intellectual property rights, and the rental of buildings to support scientific activities performed by the statistical unit in the reference year). Also include expenses of persons who provide ancillary services such as security, cleaning and maintenance work, finance and administration that are proportional to the RSA being conducted. However, the personnel providing these services are not to be included in the in-house personnel counts (see Section 2. Personnel).

The intramural expenditures reported to RSA are those direct costs, including salaries, associated with scientific programs. The cost should include that portion of a program's contribution to employee benefit plans (e.g., superannuation and compensation) which is applicable to the scientific personnel within the program. Also include the costs of self-employed individuals, consultants and researchers who are working on-site on the departments' RSA projects.

8. RSA contracts – contracts to an outside institution or individual to fund RSA performed by the institution or individual. The criterion is: would the performer report the RSA contract as in-house (intramural) RSA that is government-funded? If the answer is yes the activity would be an RSA contract. If no, and the funding is for the purchase goods and services to support the in-house RSA of the federal government department, it should be reported as In-house RSA (Item 7).

Contracts to other federal government departments should be reported as a transfer of funds in question 3A (i) and 3A (ii) of the questionnaire.

9. RSA grants and contributions – awards to organizations or individuals for the conduct of RSA and intended to benefit the recipients rather than provide the program with goods, services or information. These funds are normally identical to that portion of the budgetary "grants and contributions" line object of expenditure which is devoted to RSA.

In-house RSA, RSA Contracts and RSA grants and contributions can include the following items:

General purpose data collection – the routine gathering, processing, collating and analyzing and publication of information on human phenomena using survey, regular and special investigations and compilations of existing records. It excludes data collected primarily for internal administrative purpose (e.g. departmental personnel statistics) as well as the collection of data as part of an R&D project.
Data collected as part of an existing or proposed research project are charged to research. Similarly, the costs of analyzing existing data as part of a research project are R&D costs, even when the data were originally collected for some other purpose. The institution involved are generally the statistical bureaus of Canadian governments and the statistical sections of departments and agencies. If there are units whose principal activity is R&D, their costs and personnel should be assigned to R&D; specialized libraries with separate budgets should be assigned to information services.
Information services – all work directed to collecting, coding, analyzing, evaluating, recording, classifying, translating and disseminating scientific and technological information as well as museum services. Included are the operations of scientific and technical libraries, S&T consulting and advisory services, the Patent Office, the publication of scientific journals and monographs, and the organizing of scientific conferences. Grants for the publication of scholarly works are also included.
General purpose information services or information services directed primarily towards the general public are excluded, as are general departmental and public libraries. When individual budgets exist, the costs of libraries which belong to institutions otherwise entirely classified to another activity, such as R&D, should be assigned to information services. The costs of printing and distributing reports from another activity, such as R&D, are normally attributed to that activity.
Sub category under Information services:
- Museum services – the collecting, cataloguing and displaying of specimens and representations relating to human history, social organization and creations. The activity involves a systematic attempt to preserve and display the works of human beings and to provide information on their works, history, and nature. The scientific activities of historical museums, archeological displays, and art galleries are included. In all cases the costs of providing entertainment and recreation to visitors should be excluded (e.g. restaurants, children's gardens and museums).
  When a museum also covers aspects of natural history, the museum's operations should be divided between the social and natural sciences. However, museums of science and technology, war, etc., which display synthetic or artificial objects and may also illustrate the operations of certain technologies, should be considered as engaged in museum services in social sciences.
- Special services and studies - systematic investigations carried out in order to provide information needed for planning or policy formulation. Demonstration projects are also included.
  The work is usually carried out by specialized units in some government departments, by consultants, by royal commissions, and by task forces. The activity is similar to R&D since it may require innovative analyses and a high degree of scientific ability. However, such studies are not intended to acquire new knowledge but to provide specific answers to specific problems (generally immediate, localized and perhaps temporary). The day-to-day operations of units concerned with departmental planning, organization or management are not normally included (i.e. administrative records kept by departments of education) but special projects may be relevant.
Sub categories under Special services and studies include:
- Economic and feasibility studies – the investigation of the socio-economic characteristics and implications of specific situations (e.g. a study of the variability of a petrochemical complex in a certain region). Note that feasibility studies on research projects are part of R&D.
- Operations and policy-related studies – covers a range of activities, such as the analysis and assessment of the existing programs, policies and operations of government departments and other institutions; the work of units concerned with the continuing analysis and monitoring of external phenomena (e.g. defence and security analysis); and the work of legislative commissions of inquiry concerned with general government or departmental policy or operations.
  Any activity aimed at providing close support to policy actions, as well as to legislative activity, should be included as a related scientific activity (RSA). This includes policy advice and relations with the media, legal advice, public relations or even technical support for the administrative activity (e.g. accounting).
  Research activities aimed at providing the decision makers with a thorough knowledge of social, economic or natural phenomena have to be included in R&D. These R&D activities are usually performed by skilled personnel - researchers - in small teams of experts and consultants and meet the standard academic criteria for scientific work (in addition to the R&D criteria).
- Education support – grants to individuals or institutions on behalf of individuals which are intended to support the post-secondary education of students in technology and the social sciences. General purpose grants to educational institutions are excluded. The activity includes the support of foreign students in their studies of the social sciences at Canadian or foreign institutions. Grants intended primarily to support the research of individuals at universities are either R&D grants or research fellowships.

10. Administration of extramural programs – the costs of identifiable units engaged in the administration of contracts and grants and contributions for scientific activities that are to be performed outside the federal government. These expenditures should be broken down by the type of scientific activity supported, i.e. R&D or RSA.

11. Capital expenditures – the annual gross amount paid for the acquisition of fixed assets that are used repeatedly or continuously in the performance of scientific activities for more than one year. They should be reported in full for the period when they took place, whether acquired or developed in house, and should not be registered as an element of depreciation.

The most relevant types of assets used for capital expenditures are:

Land and buildings
Machinery and equipment
Capitalized computer software
Other intellectual property product

Question 2: Personnel

Full-time equivalent (FTE) – the ratio of working hours actually spent on scientific activities during a specific reference period divided by the total number of hours conventionally worked in the same period by an individual or a group. For example, an employee who is engaged in scientific activities for half a year has a full-time equivalence of 0.5. Personnel data reported should be consistent with expenditures data.

Scientific and professional – researchers and professionals engaged in the conception or creation of new knowledge. They conduct research and improve or develop concepts, theories, models, techniques instrumentation, software or operational methods. They require at least one academic degree or a nationally recognized professional qualification, as well as those with equivalent experience.

Technical – technicians and equivalent staff are persons whose main tasks require technical knowledge and experience in one or more fields of engineering, the physical and life sciences, or the social sciences, humanities and the arts. They perform scientific and technical tasks involving the application of concepts and operational methods and the use of research equipment, normally under the supervision of researchers.

Other – other supporting staff includes skilled and unskilled craftsmen, and administrative, secretarial and clerical staff participating in science and technology projects or directly associated with such projects.

Question 2: Personnel by gender

Gender – refers to current gender which may be different from sex assigned at birth and may be different from what is indicated on legal documents. Categories include: man, woman, and non-binary person.

Man – this category includes persons whose reported gender is male. It includes cisgender (cis) and transgender (trans) men.

Woman – this category includes persons whose reported gender is female. It includes cisgender (cis) and transgender (trans) women.

Non-binary person – this category includes persons whose reported gender is not exclusively male or female.

Question 3: Sources of funds

Question 3A (i). Transfers for social sciences, humanities and the arts activities

Include payments and recipients for contracts, transfers and joint programs from/to other federal government departments. Please identify the amount and names of the origination and recipient programs.

Question 3A (ii). Sources of funds for total scientific and technological activities

This question identifies the sources of funds for expenditures on scientific activities reported for all three years. It will help to ensure that work funded from outside the department is not overlooked.

Departmental S&T budget – that portion of the total departmental budget which was spent on social sciences, humanities and the arts activities.
Revenues to / from other federal departments – money transferred from this program to another federal department or money transferred into this program from another federal department for activities in the social sciences, humanities and the arts.
Provincial government departments – all funds from the provincial government used for social sciences, humanities and the arts activities. The funds are referred to as payments, contributions, transfers, etc. Also include provincial portions of federal-provincial cost sharing programs performed by the department program.
Business enterprises – all funds from business enterprises used for social sciences, humanities and the arts activities performed by the department.
Other – all funds for social sciences, humanities and the arts activities from sources not specified above.

Question 4: Socio-economic objectives

Intramural and extramural scientific and technological expenditures by socio-economic objective for the reporting year by activity (research and experimental development, related scientific activities, and total).

1. Exploration and exploitation of the Earth
2. Environment
3. Exploration and exploitation of space
4. Transport, telecommunication and other infrastructures
5. Energy
6. Industrial production and technology
7. Health
8. Agriculture (include forestry and fisheries)
- 8.1: Agriculture
- 8.2: Fishing
- 8.3: Forestry
9. Education
10. Culture, recreation, religion and mass media
11. Political and social systems, structures and processes
12. Defence

1. Exploration and exploitation of the Earth – scientific activities with objectives related to the exploration of the Earth's crust and mantle, seas, oceans and atmosphere, as well as on their exploitation. It also includes climatic and meteorological research, polar exploration (under various headings, as appropriate) and hydrology. It does not include scientific activities related to soil improvement (objective 4), land use or fishing (objective 8), or pollution (objective 2).

Examples:

General scientific activities
Mineral, oil and natural gas prospecting
Exploration and exploitation of the sea-bed
Earth's crust and mantle excluding sea-bed and studies of soil for agriculture (objective 8)
Hydrology - excludes scientific activities on: water supplied and disposal (objective 4) and water pollution (objective 2)
Sea and oceans
Atmosphere
Other scientific activities on the exploration and exploitation of the earth

Excludes: scientific activities on pollution (objective 2), soil improvement (objective 4), land-use and fishing (objective 8).

2. Environment - covers scientific activities aimed at improving the control of pollution, including the identification and analysis of the sources of pollution and their causes, and all pollutants, including their dispersal in the environment and the effects on humans, species (fauna, flora, micro-organisms) and the biosphere.

The development of monitoring facilities for the measurement of all kinds of pollution is included, as is scientific activities for the elimination and prevention of all forms of pollution in all types of environment.

3. Exploration and exploitation of space – covers all civil space scientific activities relating to the scientific exploration of space, space laboratories, space travel and launch systems. Although civil space scientific activities is not in general concerned with particular objectives, it frequently has a specific goal, such as the advancement of knowledge (e.g. astronomy) or relates to particular applications (e.g. telecommunications satellites or earth observation). This chapter does not include corresponding scientific activities for defence purposes.

4. Transport, telecommunication and other infrastructures – Transport, telecommunication and other infrastructures - covers scientific activities aimed at infrastructure and land development, including the construction of buildings. More generally, this objective covers all scientific activities relating to the general planning of land use. This includes scientific activities into protection against harmful effects in town and country planning but not research into other types of pollution (objective 2). This objective also includes scientific activities related to transport systems; telecommunication systems; general planning of land use; the construction and planning of buildings; civil engineering; and water supply.

5. Energy – covers scientific activities aimed at improving the production, storage, transportation, distribution and rational use of all forms of energy. It also includes scientific activities on processes designed to increase the efficiency of energy production and distribution, and the study of energy conservation. It does not include scientific activities related to prospecting (objective 1) or scientific activities into vehicle and engine propulsion (objective 6).

Examples:

Fossil fuels and their derivatives
Nuclear fission
Radioactive waste management including decommissioning with regard to fuel/energy
Nuclear fusion
Renewable energy sources
Rational utilization of energy

6. Industrial production and technology – covers scientific activities on the improvement of industrial production and technology. It includes scientific activities on industrial products and their manufacturing processes except where they form an integral part of the pursuit of other objectives (e.g. defence, space, energy, agriculture).

Examples:

Increasing economic efficiency and competitiveness
Manufacturing and processing techniques
Petrochemical and coal by-products
Pharmaceutical products
Manufacture of motor vehicles and other means of transport
Aerospace equipment manufacturing and repairing
Electronic and related industries
Manufacture of electrical machinery and apparatus
Manufacture of non-electronic and non-electronical machinery
Manufacture of medical and surgical equipment and orthopaedic appliances
Manufacture of food products and beverages
Manufacture of clothing and textiles and leather goods
Recycling

7. Health - covers scientific activities aimed at protecting, promoting and restoring human health broadly interpreted to include health aspects of nutrition and food hygiene. It ranges from preventive medicine, including all aspects of medical and surgical treatment, both for individuals and groups, and the provision of hospital and home care, to social medicine and paediatric and geriatric research.

Examples:

General scientific activities
Medical scientific activities, hospital treatment, surgery
Preventive medicine
Biomedical engineering and medicines
Occupational medicine
Nutrition and food hygiene
Drug abuse and addition
Social medicine
Hospital structure and organization of medical care
Other medical scientific activities

8. Agriculture (include forestry and fisheries) – covers all scientific activities on the promotion of agriculture, forestry, fisheries and foodstuff production, or further knowledge on chemical fertilizers, biocides, biological pest control and the mechanization of agriculture, as well as concerning the impact of agricultural and forestry activities on the environment. Also covers scientific activities on improving food productivity and technology.

8.1 Agriculture – covers scientific activities on animal products, veterinary medicine, crops, food technology and other scientific activities on agricultural production and technology.

8.2 Fishing – covers scientific activities on fishing, salting, drying, and initial freezing of products (but not on preparation and canning (objective 6)), scientific activities on fish-farming, exploration of new fishing grounds, exploration and development of new and unconventional sources of seafood.

8.3 Forestry – covers scientific activities into the ecological and economic aspects of forestry and timber production.

9. Education – covers scientific activities aimed at supporting general or special education, including training, pedagogy, didactics, and targeted methods for specially gifted persons or those with learning disabilities. Applied to all levels of education as well as to subsidiary services to education.

10. Culture, recreation, religion and mass media – covers scientific activities aimed at improving the understanding of social phenomena related to culture activities, religion and leisure activities so as to define their impact on life in society, as well as to racial and cultural integration and on socio-cultural changes in these areas. The concept of "culture" covers sociology of science, religion, art, sport and leisure, and also comprises inter alia R&D on the media, the mastery of language and social integration, libraries, archives and external cultural policy.

11. Political and social system, structures and processes – covers scientific activities aimed at improving the understanding and supporting the political structure of society, public administration issues and economic policy, regional studies and multi-level governance, social change, social processes and social conflicts, the development of social security and social assistance systems, and the social aspects of the organization of work.

12. Defence – covers scientific activities for military purposes. It also includes basic research and nuclear and space research financed by the Department of National defence. Civil scientific activities financed by ministries of defence, for example, in the fields of meteorology, telecommunications and health, should be classified in the relevant objectives.

Question 5: Expenditures and personnel by region

Scientific and technological expenditures and personnel of federal organizations for the reference year, including current and capital expenditures for intramural R&D and RSA and by scientific and professional and total personnel for R&D and RSA.

Newfoundland and Labrador
Prince Edward Island
Nova Scotia
New Brunswick
Quebec (excluding NRC - Quebec)
National Capital Region (NCR) - Quebec
Ontario (excluding NRC - Ontario)
National Capital Region (NCR) - Ontario
Manitoba
Saskatchewan
Alberta
British Columbia
Yukon, Northwest Territories and Nunavut
Canada Total

Federal Science Expenditures and Personnel (FSEP) 2024/2025 – Activities in the natural sciences and engineering

Information for respondents

Authority to publish

Respondent Information:

Name of person authorized to sign
Signature
Official position
Program
Department or agency
E-mail address
Telephone number

Enquiries to be directed to:

Name
Date
Position title
Telephone number
Email address
Fax number

Purpose

This survey collects financial and operating data on expenditures and full-time equivalent personnel on the scientific activities of Federal Government Public Administration in Canada.

Additional information

Authority

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

Completion of this questionnaire is a legal requirement under this Act.

Confidentiality

Data-sharing agreements

The shared data will be limited to information pertaining to federal departments and agencies located within the jurisdiction of the respective province or territory.

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories, Nunavut and Industry Canada.

The shared data will be limited to information pertaining to federal departments and agencies located within the jurisdiction of the respective province or territory.

Record linkage

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

Security of emails and faxes

Return procedures

Please forward the completed questionnaire and listing of extramural performers through the Electronic File Transfer service (EFT).
For further inquiries:

Phone Number: toll free at 1-888-659-8229
Fax number: toll free at 1-800-755-5514
Email: statcan.fsepsurv-enqdmsf.statcan@statcan.gc.ca

Thank you for your co-operation.

FSEP - Introduction

Purpose

This survey collects financial and operating data on expenditures and full-time equivalent personnel on the scientific activities of Federal Government Public Administration in Canada.

Question 1: Expenditures by activity and performer

General

The natural sciences and engineering consist of disciplines concerned with understanding, exploring, developing or utilizing the natural world. Included are the engineering and technology, mathematical, computer and information sciences, physical sciences, medical and health sciences, and agricultural sciences, veterinary sciences and forestry.

Expenditures by activity and performer

The central activity is scientific research and experimental development (R&D). In addition there are a number of activities closely related to R&D, and are termed related scientific activities (RSA). Those identified as being appropriate for the federal government in the natural sciences are: scientific data collection, information services, special services and studies and education support.

The performer is equivalent to the sector in which the scientific activity is conducted. The basic distinction is between intramural and extramural performance. Extramural payments are classified on the basis of the performance sectors to which they are made. The appropriate extramural performers are business enterprise, higher education, Canadian non-profit institutions, provincial and municipal government, and foreign performers.

I. Performers

Extramural performers are groups being funded by the federal government sector for S&T activities. In this survey the extramural performers include:

Business enterprise – business and government enterprises including public utilities and government-owned firms. Both financial and non-financial corporations are included. Incorporated consultants or unincorporated individuals providing scientific and engineering services are also included. Industrial research institutes located at Canadian universities are considered to be in the higher education sector.
Higher education – comprises all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status. It also includes teaching hospitals (non-teaching hospitals are in the Canadian non-profit sector) all research institutes, centers, experimental stations and clinics that have their scientific activities under the direct control of, or administered by, or associated with, the higher education establishments.
Canadian non-profit institutions – charitable foundations, voluntary health organizations, scientific and professional societies, non-teaching hospitals (teaching hospitals are in the higher education sector) and other organizations not established to earn profits. Non-profit institutions primarily serving or controlled by another sector should be included in the controlling sector.
Provincial and municipal governments – departments and agencies of these governments as well as provincial research organizations. Government enterprises, such as provincial utilities are included in the business enterprise sector, and non-teaching hospitals in the Canadian non-profit institutions sector.
Foreign performers – all foreign government agencies, foreign companies (including foreign subsidiaries of Canadian firms), international organizations, non-resident foreign nationals and Canadians studying or teaching abroad.

II. Research and experimental development (R&D)

For an activity to be an R&D activity, it must satisfy five core criteria:

To be aimed at new findings (novel);
To be based on original, not obvious, concepts and hypothesis (creative);
To be uncertain about the final outcome (uncertainty);
To be planned and budgeted (systematic);
To lead to results that could be possibly reproduced (transferable/or reproducible).

Examples of R&D:

A special investigation of a particular mortality in order to establish the side effects of certain cancer treatment is R&D.
The investigation of new methods of measuring temperature is R&D, as is the study and development of new models for weather prediction.
Investigation on the genetics of the species of plants in a forest in an attempt to understand natural controls for disease or pest resistance.
The development of new application software and substantial improvements to operating systems and application programs.

R&D is generally carried out by specialized R&D units. However, an R&D project may also involve the use of non R&D facilities (e.g., testing grounds), the purchase or construction of specialized equipment and materials, and the assistance of other units. Costs of such items, attributable to the project, are to be considered R&D costs.

R&D may also be carried out by units normally engaged in other functions (e.g. a marine survey ship used for hydrological research, a geological survey team may be directed to work in a certain area in order to provide data for a geophysical research project). Such effort is part of an R&D project and, again, so far as is practical, the costs should be assigned to R&D expenditures.

On the other hand, R&D units may also be engaged in non R&D activities such as technical advisory services, testing, and construction of special equipment for other units. So far as is practical, the effort devoted to such operations should be included in the related scientific activities (RSA).

1. In-house R&D – R&D performed by personnel of the reporting program. It may include R&D carried out on behalf of another program or federal government department.

The most relevant types of assets used for capital expenditures are:

Land and buildings
Machinery and equipment
Capitalized computer software
Other intellectual property products

III. Related scientific activities (RSA)

Related scientific activities (RSA) are all systematic activities which are closely concerned with the generation, advancement, dissemination and application of scientific and technological knowledge. The types of related scientific activities for the natural sciences and engineering are described below.

7. In-house RSA – RSA performed by personnel of the reporting program. It may include RSA carried out on behalf of another program or federal government department.

Contracts to other federal government departments should be reported as a transfer of funds in question 3A (i) and 3A (ii) of the questionnaire.

In-house RSA, RSA Contracts and RSA grants and contributions can include the following items:

Scientific data collection – the gathering, processing, collating and analyzing of data on natural phenomena. These data are normally the results of surveys, routine laboratory analyses or compilations of operating records.
Data collected as part of an existing or proposed research project are charged to research. Similarly, the costs of analyzing existing data as part of a research project are R&D costs, even when the data were originally collected for some other purpose. The development of new techniques for data collection is also to be considered a research activity. Examples of RSA scientific data collection are: routine geological, hydrographic, oceanographic and topographic surveys; routine astronomical observations; maintenance of meteorological records; and wildlife and fisheries surveys.
Information services – all work directed to collecting, coding, analyzing, evaluating, recording, classifying, translating and disseminating scientific and technological information as well as museum services. Included are the operations of scientific and technical libraries, S&T consulting and advisory services, the Patent Office, the publication of scientific journals and monographs, and the organizing of scientific conferences. Grants for the publication of scholarly works are also included.
General purpose information services or information services directed primarily towards the general public are excluded, as are general departmental and public libraries. When individual budgets exist, the costs of libraries which belong to institutions otherwise entirely classified to another activity, such as R&D, should be assigned to information services. The costs of printing and distributing reports from another activity, such as R&D, are normally attributed to that activity.
Sub category under Information services:
- Museum services – the collecting, cataloguing and displaying of specimens of the natural world or of representations of natural phenomena. The activity involves a systematic attempt to preserve and display items from the natural world; in some ways it could be considered an extension of information services. The scientific activities of natural history museums, zoological and botanical gardens, aquaria, planetaria and nature reserves are included. Parks which are not primarily restricted reserves for certain fauna or flora are excluded. In all cases the costs of providing entertainment and recreation to visitors should be excluded (e.g. restaurants, children's gardens and museums).
  When a museum also covers not only natural history but also aspects of human cultural activities, the museum's resources should be appropriated between the natural and social sciences. However, museums of science and technology, war, etc., which display synthetic or artificial objects and may also illustrate the operations of certain technologies, should be considered as engaged in museum services in social sciences.
- Special services and studies – work directed towards the establishment of national and provincial standards for materials, devices, products and processes; the calibration of secondary standards; non-routine quality testing; feasibility studies and demonstration projects.
Sub categories under Special services and studies include:
- Testing and standardization – concerns the maintenance of national standards, the calibration of secondary standards and the non-routine testing and analysis of materials, components, products, processes, soils, atmosphere, etc. These activities are related scientific activities (RSA). The development of new measures for standards, or of new methods of measuring or testing, is R&D. Exclude routine testing such as monitoring radioactivity levels or soil tests before construction.
- Feasibility studies – technical investigations of proposed engineering projects to provide additional information required to reach decisions on implementation. Besides feasibility studies, the related activity of demonstration projects are to be included. Demonstration projects involve the operation of scaled-up versions of a facility or process, or data on factors such as costs, operational characteristics, market demand and public acceptance. Projects called "demonstration projects" but which conform to the definition of R&D should be considered R&D. Once a facility or process is operated primarily to provide a service or to gain revenue, rather than as a demonstration, it should no longer be included with feasibility studies. In all demonstration projects, only the net costs should be considered.
- Education support – grants to individuals or institutions on behalf of individuals which are intended to support the post-secondary education of students in technology and the natural sciences. General operating or capital grants are excluded. The activity includes the support of foreign students in their studies of the natural sciences at Canadian or foreign institutions. Grants intended primarily to support the research of individuals at universities are either R&D grants or research fellowships.
  Awards intended primarily to support the education of the recipients should be reported as "education support".

The most relevant types of assets used for capital expenditures are:

Land and buildings
Machinery and equipment
Capitalized computer software
Other intellectual property products

Question 2: Personnel

Question 2: Personnel by gender

Man – this category includes persons whose reported gender is male. It includes cisgender (cis) and transgender (trans) men.

Woman – this category includes persons whose reported gender is female. It includes cisgender (cis) and transgender (trans) women.

Non-binary person – this category includes persons whose reported gender is not exclusively male or female.

Question 3: Sources of funds

Question 3A (i). Transfers for natural sciences and engineering activities

Question 3A (ii). Sources of funds for total scientific and technological activities

Departmental S&T budget – that portion of the total departmental budget which was spent on natural science and engineering activities.
Revenues to / from other federal departments – money transferred from this program to another federal department or money transferred into this program from another federal department for activities in the natural sciences and engineering.
Provincial government departments – all funds from the provincial government used for natural science and engineering activities. The funds are referred to as payments, contributions, transfers, etc. Also include provincial portions of federal-provincial cost sharing programs performed by the department program.
Business enterprises – all funds from business enterprises used for natural science and engineering activities performed by the department.
Other – all funds for natural sciences and engineering activities from other sources not specified above.

Question 4: Socio-economic objectives

1. Exploration and exploitation of the Earth
2. Environment
3. Exploration and exploitation of space
4. Transport, telecommunication and other infrastructures
5. Energy
6. Industrial production and technology
7. Health
8. Agriculture (include forestry and fisheries)
- 8.1: Agriculture
- 8.2: Fishing
- 8.3: Forestry
9. Education
10. Culture, recreation, religion and mass media
11. Political and social systems, structures and processes
12. Defence

Examples:

General scientific activities
Mineral, oil and natural gas prospecting
Exploration and exploitation of the sea-bed
Earth's crust and mantle excluding sea-bed and studies of soil for agriculture (objective 8)
Hydrology - excludes scientific activities on: water supplied and disposal (objective 4) and water pollution (objective 2)
Sea and oceans
Atmosphere
Other scientific activities on the exploration and exploitation of the earth

Excludes: scientific activities on pollution (objective 2), soil improvement (objective 4), land-use and fishing (objective 8).

Examples:

Fossil fuels and their derivatives
Nuclear fission
Radioactive waste management including decommissioning with regard to fuel/energy
Nuclear fusion
Renewable energy sources
Rational utilization of energy

Examples:

Increasing economic efficiency and competitiveness
Manufacturing and processing techniques
Petrochemical and coal by-products
Pharmaceutical products
Manufacture of motor vehicles and other means of transport
Aerospace equipment manufacturing and repairing
Electronic and related industries
Manufacture of electrical machinery and apparatus
Manufacture of non-electronic and non-electronical machinery
Manufacture of medical and surgical equipment and orthopaedic appliances
Manufacture of food products and beverages
Manufacture of clothing and textiles and leather goods
Recycling

Examples:

General scientific activities
Medical scientific activities, hospital treatment, surgery
Preventive medicine
Biomedical engineering and medicines
Occupational medicine
Nutrition and food hygiene
Drug abuse and addition
Social medicine
Hospital structure and organization of medical care
Other medical scientific activities

8.1 Agriculture – covers scientific activities on animal products, veterinary medicine, crops, food technology and other scientific activities on agricultural production and technology.

8.3 Forestry – covers scientific activities into the ecological and economic aspects of forestry and timber production.

Question 5: Expenditures and personnel by region

Regions include:

Newfoundland and Labrador
Prince Edward Island
Nova Scotia
New Brunswick
Quebec (excluding NRC - Quebec)
National Capital Region (NCR) - Quebec
Ontario (excluding NRC - Ontario)
National Capital Region (NCR) - Ontario
Manitoba
Saskatchewan
Alberta
British Columbia
Yukon, Northwest Territories and Nunavut
Canada Total

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Canadian Statistics Advisory Council 2023 Annual Report - The Way Forward: Addressing Challenges Facing the National Statistical System

Release date: November 9, 2023

PDF version (6.2 MB)

Table of contents

Message from the Canadian Statistics Advisory Council
Executive Summary
Recommendations
1. Engagement and knowledge
2. Data flows
3. Final word
Endnotes

Message from the Canadian Statistics Advisory Council

The national statistical system^{Footnote 1} is essential for helping Canadians keep pace with a rapidly changing society. Modernizing statistical methods and technologies makes it possible to produce relevant statistical information, which is critical for enabling Canadians to make informed decisions, lead innovation and address the country's most pressing problems. Canadians need credible and trusted data, especially within the current context of misinformation and disinformation.

Governments must have access to high-quality data to design and deliver effective public services to meet Canada's most critical needs, such as affordable housing and access to health care, as well as respond to rising costs and the environmental and economic effects of climate change.

In difficult times, data become even more crucial for understanding and tackling important issues. The cost of programs and decisions based on poor or incomplete data can be enormous. The country's data ecosystem and statistical programs are essential, core infrastructure that should not be nickel-and-dimed or subject to budget cuts. Rather, there must be greater investment in developing a cohesive national data system that is critical to supporting economic recovery and ensuring Canada's prosperity and well-being.

Developing and using statistical data today require the latest technologies, such as cloud computing, generative artificial intelligence and sensors. A wide range of new data science and analytical skills are also necessary. At the same time, there must be an openness to dialogue on the importance and use of data and a commitment to shared data standards.

This year's report from the Canadian Statistics Advisory Council examines emerging data practices that are shaping the statistical system, as well as the opportunities and barriers associated with new data sources. This focus builds on the Council's previous reports, which looked at the importance of having timely, consistent, and disaggregated data; the need for new types of partnerships and data coordination; and principles for developing a national statistical system to address critical data needs.

Meeting data needs and expectations can be challenging. The Council has been advocating for public and private organizations to work with Statistics Canada in coordinating and standardizing measures and data flows. The private sector has an important role to play as part of Canada's national statistical system, because governments alone cannot meet the growing information needs of Canadians.

We are grateful to Statistics Canada, the Chief Statistician of Canada (who is an ex officio member of the Council) and his excellent team for responding to our requests for information with both written and oral presentations. We offer particular thanks to Sam Ndayishimye and Gaëlle Miollan of the Canadian Statistics Advisory Council Secretariat for their advice and assistance. We are also grateful for the work of Dr. Céline Le Bourdais and her insights as a member of the Council these past few years.

We would like to thank Anil Arora for his exceptional service as Chief Statistician. Over the course of his mandate, Anil has ushered in critical modernization and transformation that have helped ensure the agency's central role in the national statistical system and continue to be a world leader among statistical agencies. It is important that his successor carry on the work of modernization to ensure that Statistics Canada and the national statistical system keep adapting to changing data needs and technologies. This includes working with partners from all sectors, inside and outside of government, in developing critical statistical infrastructure and data flows. The new Chief Statistician will also need to foster meaningful dialogue with Canadians on why good data matter and to maintain the trust that their data will be protected.

Signed:
The Canadian Statistics Advisory Council

Dr. Howard Ramos, Chairperson
Annette Hester
Dr. Benoit Dostie
David Chaundy
Jan Kestle

Executive summary

Engagement and knowledge

Statistics Canada has a vital role to play in promoting and teaching data literacy and analytical skills. This includes raising awareness of why official statistics matter and how they are being collected, stored and used. It also includes helping Canadians and policy makers understand the implications of new technologies and how they shape statistical information.

The agency has made important investments in cloud technologies, data analytics and real-time remote access to its data holdings. Its methodologists and analysts are expanding their expertise to work with new types of data, such as satellite imagery, scanner data and environment samples. Modern methods and data sources must then be blended with time-tested methods and data in a statistically rigorous fashion. This requires a new way of thinking about how different forms of data relate to each other and how they contribute to a more complete understanding of societal issues.

Statistical organizations have an important role to play in helping Canadians appreciate the groundbreaking implications of artificial intelligence on data. Improper use of artificial intelligence can lead to misunderstandings of issues around data, their need, and their development and an erosion of trust and disengagement of citizens. Canadians benefit from Statistics Canada being a leader in the country and internationally, chairing groups that identify and address common challenges encountered when incorporating machine learning in production processes.

Data flows

Today's society needs new types of data, with greater frequency and granularity, to address issues of top concern. Almost every sector is asking for good, timely data.

Leading-edge methods and technology can transform and integrate digital forms of information into valuable data. New public and private data are already being drawn upon in areas such as prices, transportation, housing, labour, agriculture, the environment, tourism and economic development. When data are shared across jurisdictions, and across sectors, the ability to plan and evaluate the benefits of programs increases dramatically. This is not possible without ongoing investments by the federal government and other sectors to enable and maintain state-of-the-art technology and infrastructure and develop the skills of employees.

Statistics Canada has moved from primarily delivering data to also playing more of a stewardship role for data literacy, standards and methods, data sharing, and the coordination of data flows. The 2023–2026 Data Strategy for the Federal Public Service lays out Statistics Canada's stewardship role in enabling data discovery, integration and reuse; developing an evergreen list of standards; transforming data into insights through data hubs; and promoting training in data literacy and analytical skills. This can only be truly successful if data requirements and funding are explicitly included upfront when planning federal government programs.

A key element of national data strategies is the different perspectives that come from bringing organizations together. This has been exemplified through successful partnerships with government departments and Indigenous communities.

Recommendations

Engagement and knowledge

Recommendation 1:
Engage Canadians and policy makers in a modern national statistical system

Data literacy, new technologies and analytical capacity should be valued and developed among the general data user community, as well as public and private organizations. Sound statistical data are needed for Canadians and businesses to make informed decisions.

The Chief Statistician of Canada should

invest further in data literacy to enable Canadians and policy makers to assess and use new types of statistical data
promote informed public dialogue about the role of data in a digital economy and their importance for effective decision making.

The Minister of Innovation, Science and Industry should

ensure that data literacy and analytic workshops and training that promote upskilling, such as that offered by Statistics Canada, are mandatory for public sector program managers and analysts.

Recommendation 2:
Invest in data science and analytical skills

Developing and using statistical data today require new data science skills, including data visualisation, data coordination, data interpretation and analysis. Definitions of data, metadata and data systems are in flux as new generations of Canadians view and use information differently.

The Chief Statistician of Canada should continue to

invest in training Statistics Canada staff to foster data science skills for developing and using new methods and data sources
engage with partners in the effective and appropriate use of artificial intelligence for collecting and interpreting data and for monitoring the impact of programs.

The Minister of Innovation, Science and Industry should

ensure that data science competencies and job descriptions within federal departments are developed in consultation with Statistics Canada.

Data flows

Recommendation 3:
Develop innovative data flows

There should be greater investment by the federal government and other sectors in implementing and maintaining state-of-the-art platforms, software and communications technologies to enable and coordinate the timely collection of important data across jurisdictions to build a truly national data infrastructure.

The Chief Statistician of Canada should continue to

develop state-of-the-art platforms, software and communications technologies to ensure that Statistics Canada remains a leader in modern statistical data development.

The Minister of Innovation, Science and Industry should

work with the Treasury Board Secretariat to develop new mechanisms and sources of funding to support modernization that keeps pace with new technologies to ensure that Statistics Canada and other arms of government are not left behind
ensure that new Government of Canada programs and federal agreements with partners have a data needs assessment for planning, delivering and evaluating programs that considers costs of data coordination, skills training and sustainable infrastructure
ensure that any new data privacy and protection legislation and policies allow for the adoption of emerging data practices, while continuing to recognize the authority of Statistics Canada to collect data and coordinate data flows.

Recommendation 4:
Recognize the role of data stewardship

Statistics Canada has an important role to play in establishing data standards and methodologies, sharing data, and coordinating data flows. Statistical standards and methods are the foundation for coherent, high-quality national statistics.

The Minister of Innovation, Science and Industry should

recognize and support Statistics Canada as a key data steward in establishing and leading partnerships for developing and coordinating statistical data flows at the federal level and in setting data and methodology standards nationwide
ensure that new leadership at Statistics Canada continues to have a deep appreciation of the national statistical system, fosters meaningful dialogue with Canadians on why good data matter, maintains the trust that their data will be protected, and develops with partners from all sectors the statistical infrastructure and data flows so critical to addressing Canada's most pressing issues.

1. Engagement and knowledge

1.1 Engage Canadians and policy makers in a modern national statistical system

Canadians are proud of their statistical system. Time and time again, they participate in and use data from Statistics Canada's programs. They fiercely advocated to maintain the census in 2011, and 98% responded to the 2021 Census.^{Footnote 2} People rely on the census to update the socioeconomic portrait of the country and to provide planners with local information needed to build schools, roads and hospitals. In addition, Canadians have embraced the agency's use of modern technology and methods, with 84% of households responding online to the most recent census. Statistics Canada is also giving many Canadians the option to complete the monthly Labour Force Survey online—two-thirds of respondents do so.

Canadians also contribute indirectly to the national statistical system with data they provide through administrative programs. Vital statistics and immigration and taxation data have long been used by Statistics Canada to produce population estimates and replace census and household survey questions.

At the same time, Statistics Canada is wrestling with lower response rates for its voluntary surveys. Its household surveys are becoming less viable as a sole method of collection, partly because of the difficulty of reaching Canadians at home and because of a saturation of requests for other surveys. The agency is not alone—statistical agencies around the world, as well as private research and analytics firms, are facing this challenge. As Statistics Canada looks to data from other sources, including administrative data, it is important that the agency communicate how these data are collected and used.

Business surveys are also experiencing problems, with companies overburdened by completing survey questionnaires. Statistics Canada's modernization efforts have included working with the business community to facilitate transfers of existing company records instead of filling out surveys and to develop alternate sources of data.

Promote informed public dialogue on the role of data

Through A Data Story^{Footnote 3} events held across the country, the Chief Statistician gives data presentations on key social and economic issues including housing, public safety and immigration. Helping people learn about how their government uses data to improve their lives is an important part of engaging Canadians. Statistics Canada has a responsibility to promote this dialogue through social media and its various web portals. Data providers and analytics firms also need to echo the message.

People are inundated daily with information. It can be a challenge to distinguish reliable data from all the figures and "facts" they see and hear. This can result in misinformation and misunderstandings about issues of importance to Canadians. Cases in point are the confusion around the cause and transmission of the COVID-19 virus during its early days and the extent of foreign home ownership.

Conflicting information from multiple sources can lead people to question the integrity of all information. Canadians need to be reassured that the data they provide to Statistics Canada benefit them and society, and that they will remain protected. The measures the agency takes to respect the privacy of Canadians and ensure the confidentiality of their information while implementing new technologies are world-leading.

Enhance data literacy

Data literacy and analytical skills should be valued within the public and private sectors, as well as within the general data user community.

Statistics Canada has a vital role to play in promoting and teaching these skills. The agency has developed a broad data literacy program to meet the diverse needs of data users. The data literacy training program is comprehensive and tailored to different levels of expertise. It also promotes public awareness of why official statistics matter and how they are being collected, stored and used.

The agency actively works with schools, communities and organizations to increase practical data literacy and numeracy skills that can be used in people's daily lives. Specialized workshops provide more technical courses for data scientists and analysts.

Statistics Canada reaches out to policy makers and businesses, to help them understand how technology and modernization are changing opportunities to collect, access and interpret data. The training leads to a better appreciation of the value of analysis when data from different perspectives are brought together. It also helps discern good data from questionable data.

However, many managers and analysts within the government lack knowledge and understanding of the role of data when planning programs, including the statistical infrastructure needed today to collect and house information. These public servants would benefit from data literacy and analytical skills training and workshops, such as those offered by Statistics Canada. The agency is presently expanding its program to meet specific needs of government departments, and many public servants have already participated in pilot courses and workshops. Given the important role of data in federal programs, the Council feels that this training should be mandatory for all federal program managers and analysts. As well, the training should be in person to promote dialogue on data sharing and data flows.

Program managers and analysts could also benefit from courses given in the private sector, such as Readying Infrastructure and Data for a Digital Public Sector, offered by INFONEX,^{Footnote 4} a firm providing conferences and training to professionals in the public and private sectors.

1.2 Explain the concepts of value proposition and risk management

The terms "value proposition" and "risk management" are used to describe the rigorous process to responsibly collect and use statistical information. These are not concepts that come to mind easily for most Canadians, though they may intuitively appreciate their underlying principles.

The value of statistical information generally increases with the level of in-depth and cross-cutting detail captured. Risk management weighs the value of obtaining this level of detail against the privacy incursion and considers the participant, the data collector and the data user.

Value proposition and risk management are the basis of Statistics Canada's programs and are also part of recent regulations in the European Union.^{Footnote 5} While the need to collect personal information for the public good has always existed, the scope has intensified, driven by the societal need to better understand complex issues. For example, assessing quality of life requires considering cross-cutting social, economic and environmental dimensions; each taken in isolation leads to an incomplete picture.

Communicating value proposition and risk management

Statistics Canada's expertise in protecting the privacy of personal information is well recognized and sought internationally. However, if this is not effectively communicated to Canadians, there is a lost opportunity to establish and strengthen bonds of trust between them and Statistics Canada.

The Council (in its 2020 CSAC report) and others have encouraged Statistics Canada to be more transparent on matters of privacy and confidentiality. This is essential to maintaining public trust. The agency must thus communicate the concepts of value proposition and risk management in more user-friendly language, including its methods and practices for collecting, using and storing data.

Statistics Canada's Trust Centre presents much of this information. However, the portal is not accessed much by citizens, who provide the agency with much of its data. The portal needs to be part of a multi-faceted communications program that includes promoting data literacy and engaging the public in dialogue through social media and other venues. The agency's podcast episodes that go behind the data and its Reddit "Ask Me Anything" sessions for the Consumer Price Index are good examples of how this can be achieved, but more needs to be done.

Proposed changes to Canada's data protection laws

In last year's CSAC report, the Council examined the government's proposed changes to Canada's data protection laws. The Council welcomes these proposed revisions which enable responsible data innovation in a digital and global economy. The Council again emphasizes that the legislation must endorse the role of data in securing the country's future. The legislation must also promote the need for the government to consider upfront the value proposition of data collection and use. It cannot erode Statistics Canada's ability to fulfill its mandate and meet the needs of Canadians.

The Council remains concerned about the lack of clarity in the proposed revisions to data protection laws around de-identified and anonymized data. Statistics Canada's contribution to regulations on de-identification is very important.

1.3 Invest in data science and analytical skills

Developing and using new forms of data require different skills and practices. Data scientists are using advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape data from unstructured web sources and solve problems. These technologies are employed by consulting firms, information companies, universities, banks, and information technology departments in the public and private sectors.

For statistical institutions like Statistics Canada, this requires a new way of thinking about how different forms of data relate to each other and how they contribute to a more complete understanding of societal issues. Methodologists and analysts need to continue to upskill and be trained to work with new types of data, such as satellite imagery, scanner data and environment samples. These modern methods and data sources must then be blended with time-tested methods and data in a statistically rigorous fashion.

As part of the federal data strategy, data science competencies and job descriptions within federal departments should be developed in consultation with Statistics Canada. This would lead to more coherence as programs develop their data needs assessment.

Statistics Canada has made important investments in cloud technologies, data analytics as a service and real-time remote access to its data holdings by government researchers. Virtual data labs and new approaches, such as crowdsourcing, web panels and flash estimates, are paying dividends in addressing many data gaps. They are also connecting challenging public policy questions with data expertise and analytics.

Opportunities are lost when these skills are not engaged or are underused. For example, Statistics Canada has experts in data visualisation with a focus primarily on communication. Yet data visualisation is a powerful tool for all aspects of data development, including exploration, collection, integration and analysis.

Exchanges between organizations can be a good way to share knowledge and experiences. For example, Statistics Canada initiated the Data Science Fellowship Program to build a strong data science capacity in the federal government by placing qualified data science experts in various government departments. Cross-sectoral and interdepartmental partnerships are also being created by sharing leading-edge best practices in data analytics platforms, business intelligence, data management and big data. Statistics Canada has also established a partnership on machine learning with Mila, a Montréal-based academic research centre, with a community of over 1,000 researchers

Artificial intelligence

Statistical organizations need to consider the groundbreaking implications of artificial intelligence (AI) on the data they produce and on their operations. Improper use of AI can lead to an erosion of trust and disengagement of citizens.

The United Nations Economic Commission for Europe (UNECE) has recognized that machine learning holds great potential for statistical organizations.^{Footnote 6} Its High-Level Group for the Modernisation of Official Statistics (HLG-MOS) has explored how statistics can be produced more efficiently by automating certain processes or helping staff to carry them out. AI also allows statistical organizations to use new types of data, such as data from social media and imagery.

On the international front, Statistics Canada does not take a back seat. It plays leadership roles in the HLG-MOS and the big data and data science expert groups that are identifying and addressing common challenges encountered when incorporating machine learning into the production processes of organizations. The UNECE framework on the responsible use of AI for statistical purposes draws upon the experience of Statistics Canada.

Within Canada, the agency leads the AI and Data Governance Standardization Collaborative, an initiative created by the Standards Council of Canada that brings together industry, government, Indigenous organizations, civil society, academic and research bodies, pan-Canadian organizations, and standards development organizations.

Machine learning and AI have been used at Statistics Canada for classifying products based on scanned descriptions, interpreting satellite images used in predicting crop yields, and identifying and estimating the size of greenhouses. This has reduced response burden for farmers and eliminated some agriculture surveys.

AI has also allowed Statistics Canada to improve the Consumer Price Index, a key measure of inflation, by incorporating retail scanner data and real-time website information. Point-of-sale data, or transaction data, are the highest-quality price data available, as they track actual prices paid by Canadians at the checkout counter.

The agency should consider other untapped applications of AI. For example, AI could offer more timely and consistent data vetting practices in Research Data Centres, allowing staff in the centres to focus on reviewing the more complex results.

2. Data flows

2.1 Innovate to address data gaps

Today's society needs new types of data with greater frequency and granularity to address issues of top concern. For example, there is a lack of timely data to assess the devastating impacts of climate change on small and rural communities and to support sustainable adaptation options. This requires linking satellite data, temperature sensor data, trends in weather and sociodemographic data. Accessing privately held data, such as sensor data, can be particularly challenging.

Almost every sector is asking for high-quality, timely data. Canadians are concerned with increases in the cost of food, housing and energy. Governments and businesses need information to deal with changes in consumer and work habits. Of particular concern are important data gaps within the environment, cross-border trade, competitiveness, intellectual property and banking sectors. This includes data from financial institutions and data from commercial entities that are held by governments. The utility of these data diminishes significantly if they cannot be accessed.
There is a demand by public and non-government researchers for access to more detailed industry and commercial data. As Statistics Canada continues to modernize, it should look to methods and practices that would permit greater granularity of these data.

There is also a strong demand for data to support the development of healthy ecosystems; preserve natural capital; and support policies and legislation in key economic sectors, including industry and agriculture. In response, Statistics Canada recently developed the Census of Environment. The Council feels that this new program, with its complex data system, is ambitious and would benefit from further examination of how the agency can best contribute to the national environment data ecosystem. This includes building relationships with new types of partners that will provide different perspectives on what is needed. This also entails building on existing foundational datasets to address important data gaps that would benefit from consistent funding.

The research community, echoed by the Council in its CSAC 2020 report, has long advocated for remote access to Statistics Canada microdata. The successful pilot project providing remote access to government researchers is a step in the right direction. Progress on developing a virtual Research Data Centre accessible to all Canadian researchers is much slower. Creating a sustainable, secure non-government network requires new partnerships, funding and cloud computing approaches and should be pursued in a timely manner.

2.2 Develop new data flows across jurisdictions

Data stewardship

A vast amount of data within the national statistical system are developed and maintained by various governments and Indigenous, local and private organizations.

The federal government should further recognize and support Statistics Canada as a key national data steward in establishing and leading partnerships for developing and coordinating statistical data flows at the federal level and in setting data and methodology standards nationwide.

Statistics Canada has moved from primarily delivering data to also providing more services on data literacy, standards and methods, data sharing, and the coordination of data flows. Statistics Canada is well placed to do so, as it has in-depth knowledge of social, economic and environmental issues and can advise on data development in support of community and policy decisions.

New public and private data are being analysed in areas such as prices, transportation, housing, labour, agriculture, the environment, tourism and economic development. This includes the creation of data hubs that facilitate data access and sharing of data and ideas, and that foster communities of engagement. While these initiatives show great promise, many are in preliminary stages. It is important that these partnerships continue to be supported, as much more work remains to be done.

The Council feels that as the agency experiences a leadership transition, it is paramount that the new Chief Statistician have the skills and commitment to keep pace with innovation and change in the data ecosystem and promote the dialogue and relationships that are essential to fostering collaboration.

Federal data flows

In its Budget 2022, the federal government recognized the benefits of departments collaborating on data methods and skills training. It followed up with the 2023–2026 Data Strategy for the Federal Public Service, which lays out the stewardship role of Statistics Canada. This includes enabling data discovery, integration and reuse; developing an evergreen list of standards; transforming data into insights through data hubs; and promoting training in data literacy and analytical skills.

This is most welcome, as many groups within departments have traditionally worked in silos, resulting in inefficiencies, higher costs and lost opportunities. Their projects with Statistics Canada are often too narrow in scope and rely on funding that is subject to departmental budget cuts. In these circumstances, it becomes very difficult to plan and implement holistic national statistical programs. For example, inconsistent and siloed federal funding has affected the agency's ability to create time series for detailed energy production and consumption by province that match national statistics published by the International Energy Agency.

Through implementation of their Disaggregated Data Action Plan, Statistics Canada continues to make progress in addressing certain information gaps. More detailed data are now available on the lived experiences of diverse populations which support decision-making to address racism, inequalities, and other systemic barriers.

In a fiscally constrained environment, there is a need to prioritize data needs. The Council has previously advocated (see CSAC 2022 report) that holistic statistical data requirements and funding be explicitly included in the planning for all federal government programs. While departments are responsible for developing the data they need, they should do so in concert with other departments and non-governmental organizations (NGOs).

There should be greater investment by the federal government and other sectors in providing data science skills training and in implementing and maintaining state-of-the-art platforms, software and communications technologies. Done appropriately, this will lead to program efficiencies and reduced costs. At the same time, this modernization comes with ongoing costs of unstructured data processing, data storage and systems maintenance that must be planned and resourced.

Promising practices

The Housing Statistics Portal, for example, is key to addressing the country's housing and affordability crises. Developed by Canada Mortgage and Housing Corporation in partnership with Statistics Canada, this data hub relies exclusively on administrative data collected from private and public data sources. In particular, it is filling in data gaps related to residential property ownership in Canada.

The new BERDI tool by the Canada Energy Regulator (CER) is transforming access to information collected for environmental and socioeconomic assessments of pipelines and powerlines Much of the information had not been easily accessible to the public, journalists and researchers. BERDI makes data for 20 years of assessments easy to find, understand and study. In a separate project on Indigenous data sovereignty, the CER digitized and identified 50 years of oral participation from First Nations, Métis and Inuit nations and communities, including testimonies from Elders and Knowledge Keepers. This was done with each of the groups to increase access, control and ownership of transcripts and audio files.

Other good initiatives include Statistics Canada's Linkable Open Data Environment, a set of open databases providing metadata on buildings, health care facilities, educational facilities, recreational and sport facilities, cultural and art facilities, and greenhouses; the Quality of Life Hub, where the agency brings together information for key indicators on the well-being of people in Canada; data on temporary foreign workers employed in the agriculture and food processing sectors, based on tax data and other alternative data sources, addressing a long-standing data gap;^{Footnote 7} and the agency's AgZero initiative, using alternative data and advanced technologies to reduce response burden on farmers.

Provincial and territorial data flows

Canadians increasingly live and work across jurisdictions, calling for a truly national system that allows for comparisons from coast to coast to coast. In its previous CSAC reports, the Council highlighted barriers to collecting data across jurisdictions, such as a lack of timely, nationally consistent and disaggregated data.

With significant demands for new types of data on biodiversity, clean technology, sustainable agriculture and reduction in plastic waste, there needs to be more sharing and integration of energy and environmental data from provincial and territorial governments, environmental NGOs, academic researchers, and the private sector.

When data are shared across jurisdictions, the ability to plan and evaluate the benefits of programs increases dramatically. Integrating data at the provincial and territorial level has added complexity when jurisdictions become siloed, and legislation and policies create barriers to data sharing. As detailed in previous reports, it has been next to impossible to develop national comparative data for some critical areas.

Promising practices

The Council was encouraged by the 2023 Canada Health Transfer agreements, which included support for improving data flows and developing national indicators on health care and health care workers. Canadians demand a health care system that addresses issues such as availability of health practitioners and wait times. This can only be assessed through coordinated data across jurisdictions. Provinces and territories are also developing online applications to help health practitioners and patients more easily navigate the health care system and access medical information. The Council sees this as a promising set of initiatives with huge potential if this information can be coordinated across jurisdictions.

The geospatial Community Fire Risk Reduction Dashboard is a pilot project between Statistics Canada and the Office of the Fire Commissioner for the province of British Columbia. It visually shows the level of neighbourhood fire risk using data from the census and the National Fire Information Database. Many users have recognized the value of this dashboard. Statistics Canada is now working with the Office of the Fire Marshal in Ontario to create a similar dashboard.

Municipal and private sector data flows

Statistics Canada is a world leader in partnering with municipalities and the private sector to expand and enrich the quality of their combined information.

The Council has observed more collaboration among government and the data and analytics industry. Private sector firms are mining data from a wide variety of passive sources, such as data from device sensors connected with systems over the Internet. This work can add rich insight to data gaps identified by the government.

Mining phone movement data is an area of significant investment by private sector data firms all over the world. Statistics Canada's innovation teams are partnering with reliable researchers in the private sector to ensure that this innovative work involves methods that ensure privacy, accuracy, governance and transparency.

Despite some irresponsible companies that give data producers in the private sector a bad name, many companies not only comply with data governance rules but also make high-quality statistical information available.

Promising practices

Statistics Canada works with consumer credit reporting agencies—for example, Equifax and TransUnion—that offer services such as credit monitoring and fraud prevention based on data they obtain from financial institutions. When the data are integrated with demographic data and other sources of payment history they become important for the public good. These companies offer data that could help small businesses access capital and provide credit records for groups with limited financial tracking, such as immigrants, Indigenous people and youth.

As part of an ongoing partnership with the Federation of Canadian Municipalities, Statistics Canada has created the Centre for Municipal and Local Data. This portal integrates municipal census data with statistics on housing, health and crime, and an experimental dashboard containing municipal financial and socioeconomic data.

Canada's business landscape is at a critical juncture, with the economy adjusting to higher interest rates and an economic slowdown or possible recession. The Canadian Chamber of Commerce's collaborative initiative to harness existing data and build the Business Data Lab represents a good practice. Working with Statistics Canada and benefiting from federal funding, it brings together data from a variety of sources to track evolving market conditions. This provides governments, business associations and entrepreneurs with critical information to help them make better decisions, improve their performance and capitalize on business growth opportunities.

Statistics Canada has benefited from sharing innovative research and development with private sector analytics firms such as Environics Analytics. Regular exchanges between these two organizations have identified data gaps from the business community and paths for collaboration between Statistics Canada and businesses. Their work together includes assessing the feasibility of using phone movement data and other administrative data to produce more timely estimates of tourism patterns. Exploring these movement data has also led to a better understanding of back-to-work patterns related to the COVID-19 pandemic and of retail or main street recovery in different markets.

Indigenous data flows

A key element of national data strategies is the different perspectives that come from bringing together data users and potential data providers. This has been exemplified through successful partnerships with government departments and Indigenous communities.

These programs are successful with in-person meetings and an engagement based on a culture of awareness and respect that embraces the traditional wisdom of Indigenous councils and community members. They are models of mutual and ongoing respect that should be considered and adopted by other sectors.

The challenges encountered reflect those of other such initiatives: the government's ownership of the intellectual property co-developed with Indigenous peoples and the lack of resources to conduct these studies on location. There is also a lack of ongoing resources from many partners to build and maintain dynamic data portals.

Promising practices

A notable collaborative project was recently undertaken in the Northwest Territories to better understand climate change and its effects on communities. Co-led by the Geological Survey of Canada (Natural Resources Canada) and Carleton University, the project brought together First Nations, Métis and Inuit organizations; industry; national and international universities; the Government of Northwest Territories; and federal departments. The work entailed developing new geoscience tools for assessing environmental impacts in the Slave Geological Province, with a focus on areas around Yellowknife and Courageous Lake. Over the course of the project, there was a meeting of traditional and Western knowledges. The components based on traditional knowledge were led by Indigenous partners.

Canada is at risk from major earthquakes, particularly in British Columbia, but also in Ontario and Quebec. Natural Resources Canada's Earthquake Early Warning program is another model project to be officially launched next year. In British Columbia, many of the people at risk are on Indigenous territory. From the start of the project, there has been mutual engagement between Natural Resources Canada, the British Columbia government, Coastal First Nations (CFN) and the Council of the Haida Nation on the project's purpose, scope and benefit to communities. This includes funding through a grants and contributions program and installation of "extended network" stations in CFN communities, along with the development of technical capacity in those communities.

2.3 Ensure that statistical standards form the basis of data sharing and analysis

Statistical standards and methods are the foundation for coherent, high-quality national statistics, which need to continually adapt to the changing technical landscape. The role of national standards needs to be resonated widely and loudly, particularly in an era of misinformation and disinformation.

Statistics Canada has been working with the federal government to ensure that standards reflect a modern statistical environment. The agency is working closely with the Standards Council of Canada on the AI and Data Governance Standardization Collaborative. Statistics Canada is also co-leading, with the Treasury Board Secretariat, the renewed federal public service data strategy.

The standards Statistics Canada uses to produce information on major facets of Canadian society and the economy are also available to users to organize and classify their own data holdings. This facilitates the access, sharing and linking of data. A lack of statistical standards has data quality implications, including for the ability to adequately measure emerging trends and to compare data nationally and across regions.

Dealing with variations in concepts and definitions has long challenged survey data analysts. For example, studies of newcomers to Canada can be based on the concepts of landed immigrant status, foreign-born, non-permanent residency, visitor status, temporary visa holder status, place of birth, population group (visible minority), and ethnic or ancestral origin. Each can lead to different interpretations of ethnocultural diversity, affecting analysis and comparisons of results from different sources.

As the racialized population in Canada grows and as the country welcomes an unprecedented number of newcomers, the term "visible minority" used in Employment Equity legislation needs to be modernized to reflect how Canadians understand race.

3. Final word

Canada's national statistical system is built on mutual relations and the sharing of information and expertise. It must be a key component of public and private sector data strategies to support economic recovery and to ensure Canada's prosperity and well-being. Modernization efforts over the last few years need to continue and even expand to tackle new data needs. To achieve this, future leaders of Statistics Canada must continue to have strong data science and analytical skills, as well as stewardship, to build relations and promote data flows. The cost of programs based on poor or incomplete data can be enormous. Even in fiscally difficult times, priority has to be given to developing critical statistical infrastructure and data flows with partners from all sectors.

Endnotes

Footnote 1

The Canadian national statistical system is the group of public and private organizations within the country that collect, process and disseminate statistics for the benefit of its citizens. Providers of official statistics include Statistics Canada, the central bank, provincial and territorial statistical offices, and the Canadian Institute for Health Information. Stakeholders include researchers and training institutes; data producers; and data users from the public, Indigenous, non-governmental and private sectors. Presently, organizations in both the public and private sectors are driving the use of digital information, as well as generating new data at unprecedented rates.

Return to footnote 1 referrer

Footnote 2

2021 Census of Population collection response rates, Statistics Canada

Return to footnote 2 referrer

Footnote 3

Statistics Canada, A Data Story

Return to footnote 3 referrer

Footnote 4

INFONEX Professional Development

Return to footnote 4 referrer

Footnote 5

European Union Data Governance Act and Data Act.

Return to footnote 5 referrer

Footnote 6

UNECE

Return to footnote 6 referrer

Footnote 7

Number of employees in the agriculture sector, 2021

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Information about Programs and Information Holdings 2021

Introduction
Background
Responsibilities
Institutional Functions, Programs and Activities
- Economic and Environmental Statistics
- Socio-economic Statistics
- Censuses
- Centres of Expertise
- Cost-Recovered Statistical Services
- Internal Services
Classes of Personal Information
Manuals
Additional Information
Reading Room

Introduction

Information about Programs and Information Holdings provides information about the functions, programs, activities and related information holdings of government institutions subject to the Access to Information Act and the Privacy Act. It provides individuals and employees of the government (current and former) with relevant information to access personal information about themselves held by government institutions subject to the Privacy Act and to exercise their rights under the Privacy Act.

The Introduction and an index of institutions subject to the Access to Information Act and the Privacy Act are available centrally.

The Access to Information Act and the Privacy Act assign overall responsibility to the President of Treasury Board (as the designated Minister) for the government-wide administration of the legislation.

Background

The origins of Statistics Canada date from 1918 with the creation of the Dominion Bureau of Statistics. With the passing of a new Statistics Act in 1971, it became Statistics Canada, the name by which it is still known. Therefore it has been over 90 years that the department has served as the national statistical bureau of the country.

Statistics Canada reports to a Minister designated by the Governor in Council as the Minister responsible for Statistics Canada. For most of the years since its establishment, the Agency has reported to a minister with a broad economic mandate. Statistics Canada reports to Parliament through the Minister of Innovation, Science, and Economic Development.

Under the direction of the Minister of Innovation, Science, and Economic Development, the Chief Statistician is charged with the administration of the Statistics Act and the Corporations Returns Act, the provision of advice on statistical matters within the federal government, and the general management of Statistics Canada. The Chief Statistician must report to the Minister on Statistics Canada's activities and that report is to be included in the Minister's annual report to Parliament.

More information: About us

Responsibilities

Statistics Canada's mandate derives primarily from the Statistics Act. The Act requires the agency to collect, compile, analyse and publish statistical information on the economic, social and general activities and conditions of Canada and its people; to collaborate with departments of government in the collection and publication of statistical information; to take the census of population of Canada and the census of agriculture of Canada every five years; to promote the avoidance of duplication in the information collected by departments of government; to promote and develop integrated statistics pertaining to the whole of Canada and to each of the provinces thereof; and to protect the confidentiality of the information with which it is entrusted.

Institutional Functions, Programs and Activities

1) Economic and Environmental Statistics

Statistics Canada produces a wide range of economic indicators that allow policy makers, businesspeople and ordinary Canadians to make informed, evidence-based decisions on almost every aspect of living in society, including their standard of living, their financial security, their investment decisions, and how well they are governed. Several of these indicators are used directly to set fiscal and monetary policy. One of these indicators is the Consumer Price Index (CPI). The CPI affects the standard of living and the financial security of virtually all Canadians. Anyone who has ever paid taxes, paid rent, had a cost-of-living wage increase or taken out a loan has been affected by the CPI. Public and private sector organizations use the CPI to escalate a wide variety of salaries, pensions, transfer payments and expenditures to ensure that purchasing power is maintained over time. The CPI also influences the rate of interest Canadians pay on their mortgages and consumer loans. The Bank of Canada uses other key economic indicators as inputs to our country's monetary policy to ensure that interest rates remain low, stable and predictable. This allows Canadians to make spending and investment decisions with more confidence, encourages longer-term investment in Canada's economy, and contributes to sustained job creation and greater productivity. Statistics Canada also produces environmental statistics that can be linked to economic data. This includes tracking the water, energy and greenhouse gas emission intensities produced by different industries within the Canadian economy, and by governments and households. The agency also produces energy statistics that are crucial feeders to Environment and Climate Change Canada's National Inventory Report on greenhouse gas emissions. Finally, it produces data related to the generation of renewable energy.

Agriculture Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on the activities of the agriculture sector and people employed in it by means of various agriculture surveys.
Document Types: Questionnaires, administrative records, satellite imagery, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan AGR 450

Building, Construction and Property Statistics

Description: Includes records on the collection, analysis and publication of statistics relating to construction activity (building permits and residential, commercial, industrial and institutional investment), property values and housing (residential property) stocks and flows and associated characteristics.
Document Types: Questionnaires, administrative data, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 475

Capital Expenditures and Public Infrastructure Statistics

Description: Includes records on the collection, analysis and publication of statistics relating to capital spending (non-residential building related assets and machinery and equipment) and public infrastructure, which are used to derive measures of stocks of fixed capital assets, useful life and capital investment intentions.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 470

Digital Economy Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on broadcasting, telecommunications, the digital economy, Internet use and cybersecurity in either the public or private sectors in Canada.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 432

Economic and Environmental Analysis

Description: Includes records relating to the analysis and interpretation of economic and environmental data.
Document Types: Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SES 298

Energy Statistics

Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the energy sector and on energy consumption. Statistics on the financial, industrial, operational and location characteristics of this sector are obtained through a series of annual and monthly surveys of businesses operating in Canada, and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MED 310

Environment Accounts and Statistics

Description: Includes records related to the collection of statistics used for the analysis of relationships between human activity and the environment in Canada. The primary outputs for this program are time series estimates of various components of Canada's environmental wealth (water, ecosystems, sub-soil minerals), physical flows including water and energy use, and greenhouse gas emissions. Estimates on environmental protection expenditures, revenues from environmental goods and services, and clean technologies and household behaviours affecting the environment are also produced.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan ESP 291

Industrial Organization and Finance Statistics

Description: Includes records on the collection, analysis and dissemination of the size, financial structure and ownership characteristics of the corporate sector in Canada. Also includes records related to collection and analysis of data reported under the Corporations Returns Act, and tax records from Canada Revenue Agency.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan IOF 435

Industry Accounts

Description: Includes records related to the production of measures of the Gross Domestic Product (GDP) by industry for Canada, the provinces and territories records related to total GDP by Census Metropolitan Area, and records related to the production of annual provincial and territorial supply, use and input-output tables and structural macroeconomic models of the Canadian, provincial and territorial economies.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan IMA 240

Integrated Business Statistics Program

Description: Records related to the management of Statistics Canada business surveys and data collection from large businesses through the Enterprise Portfolio Manager Program.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan UES 307

International Accounts

Description: Includes records related to the collection, processing and dissemination of statistics on economic transactions between both Canadian residents and the rest of the world (the balance of international payments and related products) on Canada's assets and liabilities with the rest of the world (the international investment position and related products), on the characteristics of firms involved in international trade (trade by exporter and importer characteristics) and on activities of multinational enterprises.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan IFE 260

International Trade Statistics

Description: Includes records on the compilation, analysis and dissemination of Canada's merchandise export and import statistics and related price and volume indices (Customs and Balance of Payments basis). These are administrative data drawn from trade documents filed with the Canadian and American custom agencies.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan INT 410

Investment Statistics

Description: Includes records on the collection, analysis and publication of statistics relating to investment activities, which are used to derive measures of stocks of fixed capital assets.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 470

Manufacturing Statistics

Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the manufacturing and forestry sectors. Statistics on the financial, industrial, operational and location characteristics of these sectors are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 380

Mining and Quarrying Statistics

Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the mining and quarrying sector. Statistics on the financial, industrial, operational and location characteristics of this sector are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 385

National Economic Accounts

Description: Includes records related to the production of national and provincial time series estimates of final expenditures (consumer spending, government spending, business investment, exports and imports) and income (wages, surplus, interest, rents, etc.). Records also relate to key economic processes of production, income generation, productivity, capacity utilization, labour, consumption, capital formation, financial transactions and wealth (saving, net lending and wealth), debt service ratio and the conceptual and statistical integration of statistics within the Canadian System of Macroeconomic Accounts.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan NAD 235

Prices Statistics

Description: Includes records on the collection and analysis of consumer and industrial products prices, raw materials prices, farm input prices and construction price indexes, as well as a number of indexes relating to capital expenditures and services. These price indexes are required for numerous acts and the adjustment of income tax basic deductions and benefits.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan PRI 415

Public Sector Statistics

Description: Includes records related to the production of financial statistics for the Canadian public sector (revenues, expenditures, assets, liabilities and debt statistics for the federal, provincial and municipal levels of government and government business enterprises).
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan PUI 220

Retail Trade Statistics

Description: Includes records on the collection, analysis and dissemination of statistics on retail trade and new motor vehicle sales that are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan RTS 420

Science, Technology and Innovation Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on science, research and development, technology and innovation, used in the public and private sectors in Canada.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 431

Service Industries Statistics

Description: Includes records on the collection, analysis and dissemination of statistics on service industries by means of annual and monthly surveys. The range of services covered includes accounting, real estate, publishing and food and accommodation services, to name just a few.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SER 425

Small Business Statistics and Entrepreneurship Indicators

Description: Includes records related to the collection, analysis and dissemination of statistics on small businesses and entrepreneurship indicators in Canada. The information is gathered through special surveys of businesses, data linkage of micro records or data integration of existing data.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 524

Transportation Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on all modes of transport in Canada (air, marine (up to 2011), bus, for-hire and private trucking, rail, and urban transit). Statistics from the program are used by Transport Canada, the Canadian Transportation Agency, other federal government departments, provincial governments, international organizations and industry associations.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan TRA 400

Wholesale Trade Statistics

Description: Includes records on the collection, analysis and dissemination of wholesale trade statistics that are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 375

2) Socio-economic Statistics

Through the Socioeconomic Statistics program, Statistics Canada provides integrated information and relevant analysis on the demographic and socioeconomic characteristics of individuals, families and households, as well as on the major factors that affect their well-being. This information is used to support critical government priorities, social policy development, implementation and evaluation; to inform discussion on demographic and socioeconomic issues; and to guide evidence-based decision making. These statistics help fulfill the requirements specified by legislation or regulations in areas such as labour, immigration, official languages and employment equity.

Outputs include data derived from administrative and survey sources as well as through data integration, and inform a range of topics such as labour, income, health, education, justice, tourism, immigration, Aboriginal peoples, diversity and inclusion, population dynamics and social well-being. The information is used extensively by provincial and territorial governments, by non-governmental organizations, and by federal departments and agencies. The program also provides information, analysis and measures on publicly funded facilities, agencies and systems designed to meet the socioeconomic and physical needs of Canadians; and on the outcomes of the services they provide, such as justice, health and education.

Education Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on education. The Canadian Centre for Education Statistics manages a comprehensive program of pan-Canadian education statistics and analysis at the elementary, secondary and postsecondary levels as well as from a number of household surveys.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and letters of agreement.
Record Number: StatCan ECT 170

Postsecondary Education and Graduate Surveys

Description: This bank describes information that relates to individuals who participate in postsecondary education and graduate surveys conducted by Statistics Canada. The personal information may include the following categories of information: contact, biographical, citizenship, educational, financial, and work history. Other information may include: name, year of birth and gender.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the survey, the year in which it was conducted and address at the time of the survey.
Class of Individuals: Individuals who attend or attended a postsecondary education institution located in Canada in a given school year.
Purpose: The aggregate information is used for socio-economic statistical research of postsecondary education and subsequent workforce trends. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other direct personal identifiers may be shared with Employment and Social Development Canada as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20091598
Bank Number: StatCan PPU 807

Post-Secondary Education Savings, Grants and Loans

Description: This bank describes information that is obtained from Employment and Social Development Canada (ESDC PPU 506 and ESDC PPU 030) on program data related to recipients of student loans and grants for post-secondary education as well as savings for post-secondary education. More specifically, the programs covered are the Canada Student Loans Program, the Canada Education Savings Program, the Canada Apprentice Loan, and the Apprenticeship Grant Program. Personal information may include full name, Social Insurance Number, date of birth, gender, program identifier, and postal code.
Class of Individuals: Persons applying for and/or receiving loans and grants for their post-secondary studies, including apprentices, as well as beneficiaries of registered education savings plans and the persons contributing to these plans.
Purpose: The personal information is used to produce statistical data on programs assisting Canadians to undertake post-secondary studies. It is also used to examine the impact of student loans, grants and savings programs on students' ability to access, persist and graduate from post-secondary education and transition to the labour force. The resulting analysis is essential to the development and evaluation of policies related post-secondary education by Employment and Social Development Canada (ESDC). Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, program information on Post-Secondary Education Savings, Grants and Loans may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the T1 Family File (StatCan PPU 111), Postsecondary Student Information System (StatCan PPU 090), and Registered Apprenticeship Information System (StatCan PPU 083).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20180003
Bank Number: PPU 144

Postsecondary Student Information System

Description: This bank describes information obtained from the administrative files of Canadian universities and other postsecondary institutions (e.g., community colleges, CEGEPs). It includes demographic data and information relating to the individual's activities as a student, such as qualification sought, discipline of specialization, and status in the program. Personal information in this databank may also include student identifier number, Social Insurance Number (SIN), name, contact information, and socio-demographic information such as date of birth, citizenship and gender.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the institution, the number assigned to the individual by the institution and the year(s) the individual studied at the institution. Requests for personal information will be forwarded to the institution that originally provided the information.
Class of Individuals: Full-time and part-time students in Canadian, public, postsecondary institutions.
Purpose: The personal information is used to produce statistical information on students by province, type of institution, program and sex. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13) for statistical purposes.
Consistent Uses: To reduce respondent burden and enhance survey data, Statistics Canada may combine information from education-related administrative data files with other administrative data records, and with survey responses, including but not limited to the Registered Apprenticeship Information System (StatCan PPU 083), the T1 Family File (StatCan PPU 111) and the Longitudinal Immigration Database (StatCan PPU 135).

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 001855
Bank Number: StatCan PPU 090

Registered Apprenticeship Information System

Description: This bank describes information that is obtained from provincial and territorial departments responsible for apprenticeship training on the number of apprentices registered and the number of certificates given by trade in each jurisdiction. The records are identified by the registered apprenticeship number assigned by the province/territory and include the date of birth, gender and the trade in which the person is registered. Personal information in this databank may also include previous educational activity, Social Insurance Number (SIN), name, contact information, and socio-demographic information, such as aboriginal identity and disability or activity limitations.
Class of Individuals: Persons taking apprenticeship training in a trade and registered with the province or territory or persons who have worked in a specific trade for a number of years, without necessarily having ever been an apprentice, and have chosen to write the required skills assessment examination in their trade.
Purpose: The personal information is used to produce statistical information on apprenticeship programs in Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13) for statistical purposes.
Consistent Uses: To reduce response burden and enhance survey data, Statistics Canada may combine information from education-related administrative data files with other administrative data records, and with survey responses, including but not limited to the Postsecondary Student Information System (StatCan PPU 090), the T1 Family File (StatCan PPU 111) and the Longitudinal Immigration Database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 005069
Bank Number: StatCan PPU 083

Teacher Information Databases

Description: This bank describes administrative information that relates to individuals who are, or were teachers, in elementary, secondary and postsecondary education institutions in Canada. The personal information may include the following categories of personal information: biographical, educational, and employment. In addition, other personal information may include: employment contact information, salary and citizenship status.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide their unique number assigned by the institution, the name of the institution and the time period during which they taught at the institution.
Class of Individuals: Current or former teachers at educational institutions located in Canada.
Purpose: Aggregate information is used for statistical analysis of teachers in Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20091599
Bank Number: StatCan PPU 808

Health Statistics

Description: Includes records related to the collection, analysis and dissemination of statistical information on health of Canadians by means of health surveys and administrative files. Also includes records on the management of the analytical research program that uses health data.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan HLT 080

Canadian Cancer Registry

Description: This bank describes information that is provided annually by the ten provincial cancer registries and health authorities responsible for cancer registration in the Yukon, Nunavut and Northwest Territories. The information relates to each newly diagnosed case of primary cancer and includes the name of the person with cancer, socio-demographic characteristics of the person, and diagnostic information.
Class of Individuals: All individuals diagnosed as having primary cancer as reported to provincial cancer registries and territorial health authorities.
Purpose: The personal information is used to produce person-oriented data on the incidence of new cases for primary sites of cancer reported to provincial and territorial cancer registries by site of tumour, age, sex and method of diagnosis. These data provide a large base of information for the study of variations in cancer incidence by personal characteristics and geographic region and allow the monitoring of trends in cancer incidence over time. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: The information is used as one of the input files in long-term medical follow-up studies. It supplies cancer-related information on individuals in particular study groups. With the authorization of the cancer registries, information without names or other identifying information may be disclosed to outside organizations, such as Health Canada and the Public Health Agency of Canada, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes. Identifiable cancer data may also be disclosed to the provincial and territorial cancer registries as part of an exchange of cancer incidence records, as permitted by the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001850
Bank Number: StatCan PPU 065

Canadian Coroner and Medical Examiner Information

Description: This bank describes information that is related to deaths investigated by coroners and medical examiners in each province and territory. Personal information of the deceased may include name, age, gender, address, date of birth, place/address of death and cause of death. In some cases, there may be a narrative on the circumstances surrounding the death which may contain additional personal information about the individual and other individuals.
Class of Individuals: Individuals whose death was investigated by a coroner or medical examiner in Canada and, in some cases, other individuals such as police and witnesses who were involved in the circumstances surrounding the death.
Purpose: The personal information is used in the production of national statistics on deaths investigated by coroners and medical examiners, with a particular focus on deaths resulting from accidents (unintentional injuries), suicides, homicides, and deaths of undetermined cause. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: With the authorization of the chief coroners and medical examiners, these data are used to produce an annual analysis file without names and other direct personal identifiers that will be disclosed to the Public Health Agency of Canada and to all provincial and territorial chief coroners/chief medical examiners, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 20100116
Bank Number: StatCan PPU 809

Health Research

Description: This bank describes information from a number of health files that are used for statistical research. Among the files under the control of Statistics Canada are the Canadian Cancer Registry, the Canadian Mortality Database, the Canadian Birth Database and provincial and territorial health records. Other sources of information are from respondents to health surveys conducted by Statistics Canada and files provided by researchers outside of Statistics Canada for specific targeted research studies. Personal information may include name, place of birth and death and the following categories of information: biographical, citizenship status, educational, language, medical, and provincial health card number.
Note: In addition to the requirements specified on the Personal Information Request form, individuals who participated in a health survey and are requesting information described by this bank must provide the name of the survey in which they participated, the year in which the survey was conducted and their address at that time.
Class of Individuals: General public.
Purpose: The personal information is used for health research with a broad objective of addressing various health-related issues and to improve the health of Canadians and the delivery of health services to them. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8, 13).
Consistent Uses: The studies usually involve data-matching of the above databases to meet the objectives of these studies. Information without names or other identifying information may be shared with outside organizations such as Health Canada and university researchers as permitted under the provisions of Sections 12 and 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001860
Bank Number: StatCan PPU 076

Health Surveys

Description: This bank describes personal information that is related to participants of health surveys conducted by Statistics Canada. The personal information may include the following: name, contact, biographical, biometric, citizenship status, education, employment, financial, language, health and medical information (from blood, urine and hair samples), pregnancy, breastfeeding, sleep habits, sexual behaviour, nutrition, alcohol and e-cigarette/cigarette use, medication/drug use, physical attributes, physical activity, neighbourhood environment, place of birth, and provincial health card number.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the survey in which they participated, the year in which the survey was conducted and their address at that time.
Class of Individuals: General public.
Purpose: The personal information collected from these surveys, in aggregate form, is used for statistical analysis of current health trends and improving the health of Canadians through ongoing research at all levels of government. Personal information is collected pursuant to the Statistics Act (Sections 3, 4, 7, 8).
Consistent Uses: With consent, information provided by respondents may be shared with the Public Health Agency of Canada and Health Canada (without names or other direct personal identifiers), and with provincial ministries of health as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes. In addition, information (including provincial health card number) is data-matched with provincial health data for analytical purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 20091597
Bank Number: StatCan PPU 806

Hospital Morbidity

Description: This bank describes information that is obtained from hospitals in Canada on patients who have separated (discharges and deaths). The files are identified by a number assigned by the hospital and contain demographic and medical information on the patient such as age, sex, diagnosis, surgical operations, length of stay, condition of discharge, residence of the patient.
Note: As of the 1994/1995 data year, responsibility for the database was transferred to the Canadian Institute for Health Information (CIHI).
Class of Individuals: Hospital inpatients in Canada.
Purpose: The personal information is used to produce national hospital morbidity statistics, including number of patients separated from hospitals, average length of stay and causes of hospitalization. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001848
Bank Number: StatCan PPU 055

Registered Nurses Database

Description: This bank describes information that is obtained from provincial nurses' associations on registered nurses licensed to practice in Canada. The information includes socio-economic and demographic data, nursing education, year and location of graduation, activity status, type of employer, position and numerically coded location of residence and employment. The files are identified by a provincial registration number.
Class of Individuals: Registered nurses licensed to practice in Canada.
Purpose: The personal information is used to produce statistical data on nursing manpower to be used by planning groups and other users for analysis and special studies. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001847
Bank Number: StatCan PPU 050

Vital Statistics

Description: This bank describes information that is related to the registration of births, marriages (until 2008), deaths and stillbirths by registrars of vital statistics in each province and territory. Personal information may include name, place of residence, date of birth, place of birth, place of death, place of marriage, and cause of death.
Class of Individuals: Individuals who were born in Canada or were Canadian residents giving birth in the United States; individuals who married in Canada and their spouses, individuals who died in Canada or Canadian residents who died in the United States.
Purpose: The personal information is used in the production of national statistics on births, marriages and deaths for Canada, the provinces and territories. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: The information is also used in special studies relating to mortality, fertility and life expectancy, for population estimates and in research around methods for the Census of Population Program. With the authorization of the registrars, information without names or other identifying information may be shared with outside organizations, such as Health Canada and the Public Health Agency of Canada, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001844
Bank Number: StatCan PPU 035

Income Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics that provide a picture of the financial well-being of Canadian families and individuals, including income, expenditures, wealth , pensions and housing. Information on low-income trends, income inequality, shelter costs and the health of pension funds is drawn from these statistics.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports.
Record Number: StatCan HLD 038

Canada Disability Savings Program

Description: This bank describes personal information concerning individuals who are beneficiaries and holders of a Registered Disability Savings Plan (RDSP) obtained from Employment and Social Development Canada (PPU ESDC 038). RDSPs help Canadians with severe and prolonged disabilities and their families save for the future. Personal information for the beneficiary of an RDSP may include: date of birth, gender, Social Insurance Number, language preference, contributions, grant and bond payments, signature date, and RDSP contract number. Personal information for the holder of an RDSP may include: year of birth, relationship to beneficiary, Social Insurance Number, and RDSP contract number.
Class of Individuals: Beneficiaries of an RDSP; parents, legal guardians or qualified family members of a beneficiary; a representative of an agency; departments or institutions acting as legal representatives of beneficiaries; and holders of RDSPs or individuals who have received the Canada Child Tax Credit for beneficiaries under the age of 18 or are currently receiving the Canada Child Benefit for beneficiaries under the age of 18.
Purpose: The personal information is used for socio-economic statistical research on the reliance and impact of RDSPs on financial outcomes of persons with disabilities and to produce statistical data on the profiles of persons with disabilities who contribute to RDSPs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3 and 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, information from the Canada Disability Savings program may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the Canadian Survey on Disability (Special Surveys StatCan PPU 016).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20180032
Bank Number: StatCan PPU 159

Income Support Data

Description: This bank describes information about individuals receiving income support from provincial and territorial governments. Personal information may include name, address, telephone number, Social Insurance Number, immigrant status, employment status, occupation codes, earnings, government transfers received, support payments from former spouses, assets, benefits paid, client file status, date of birth and gender of individuals and their spouse.
Class of Individuals: Individuals living in Canadian provinces or territories who received income support payments from reporting year 2012 and onwards.
Purpose: The personal information will be used to evaluate the feasibility of developing a new harmonized national data series for statistical analysis and research. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22) for statistical purposes.
Consistent Uses: The income support data may be combined with surveys or other administrative databases described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). Linkages will also serve to validate the data and produce quality reports. The quality reports will not contain any confidential data.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20170143
Bank Number: StatCan PPU 165

Pension Programs

Description: This bank describes personal information that is related to the administration of the Canada Pension Plan (CPP) and the Old Age Security (OAS) programs obtained from Employment and Social Development Canada, specifically from the Old Age Security Program (ESDC PPU 116) and the Canada Pension Plan Program (ESDC PPU 146) files. The CPP provides contributors and their families with partial replacement of earnings in the case of retirement, disability or death. The OAS program provides a monthly payment to senior citizens aged 65 and older who meet the Canadian legal status and residence requirements of the program. Personal information for the contributor or beneficiary of these public pension programs may include: date of birth, date of death, gender, Social Insurance Number, marital status, historical profile of earnings and contributions, and benefits received.
Class of Individuals: Contributors and beneficiaries of the CPP and beneficiaries of the OAS program.
Purpose: The personal information may be used for socio-economic statistical research on topics such as financial security, earnings dynamics, and retirement decisions. It may also be used to produce statistical data on the profiles of individuals who contribute to the CPP program or are beneficiaries of the CPP or OAS programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, information on public pension programs may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20180017
Bank Number: StatCan PPU 158

Survey of Financial Security

Description: This bank describes information on assets and debts collected from a sample of Canadian households through the Survey of Financial Security. Personal information may include the following categories of information: contact, biographical, family, educational, financial, and employment. Other information may include: name, year of birth, sex, marital status, and other demographics such as level of education, language, immigration, and Aboriginal status.
Class of Individuals: Persons in private households residing in the provinces.
Purpose: The personal information is used to provide a comprehensive picture of the net worth of Canadians. Information is collected on the value of all major financial and non-financial assets and on the money owing on mortgages, vehicles, credit cards, student loans and other debts. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: For recent cycles of the Survey of Financial Security, data are linked to income tax data files (StatCan PPU 111) in order to obtain personal and household income, and to reduce burden on respondents. Data may also be combined with other Statistics Canada databases, such as Pension Plans in Canada to value registered pension plan assets.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 004252
Bank Number: StatCan PPU 151

Justice Statistics

Description: Includes records related to the compilation, analysis and dissemination of statistics on criminal and civil justice in Canada by means of various crime-related surveys and administrative data. Also includes records related to statistics on victimization and related support services.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan CCJ 135

Crime Statistics

Description: This bank describes information that is obtained from police services on characteristics of criminal incidents, victims, and accused persons. Specifically, this bank includes the name, date of birth, sex, fingerprint ID number, and address of both victims and accused persons.
Class of Individuals: Individuals who are victims of crimes and individuals who are accused of committing a crime.
Purpose: The personal information is used to produce statistical information relating to the nature and extent of crime in Canada and to describe the circumstances of crime incidents as well as the characteristics of victims and accused persons. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: The information is often used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice and Community Safety Statistics (CCJCSS), including Homicide Statistics (StatCan PPU 025) and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis. Further, with the authorization of police services, the data may be provided to provincial and territorial ministries of justice, for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160030
Bank Number: StatCan PPU 029

Homicide Statistics

Description: This bank describes information that is obtained from police services on characteristics of homicide incidents, victims and accused persons. Detailed information includes the methods used to commit homicide (including firearm-related homicides), the accused-victim relationship (including spousal and other family-related homicides), gang and drug-related homicides and youth homicides. Personal information may include names, dates of birth, sex, and Aboriginal origin of victims and accused persons, as well as the Fingerprint Section ID Number (FPS) of accused persons.
Class of Individuals: Individuals who are victims of homicides and individuals who are accused of committing a homicide.
Purpose: The personal information is used to produce statistical information relating to the nature and extent of homicide in Canada and to describe the circumstances of homicide incidents as well as the characteristics of victims and accused persons. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: The information may be used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice and Community Safety Statistics (CCJCSS), including Integrated Criminal Court Survey (ICCS) Statistics (StatCan PPU 027) and Crime Statistics (StatCan PPU 029), and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis. Further, with the authorization of the police services, information may be disclosed to the Royal Canadian Mounted Police (one-time only – RCMP PPU 005) and to provincial and territorial ministries of justice, for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 001861
Bank Number: StatCan PPU 025

Integrated Criminal Court Survey (ICCS) Statistics

Description: This bank describes information relating to youth and adults who were charged with an offence and appeared in youth court or adult criminal court. Data are reported according to detailed offence information (statute, section, subsection, paragraph and subparagraph) of the criminal code or other federal statutes. This bank includes the name, date of birth, sex, fingerprint ID number, driver's license number and postal code of the accused; case decisions; sentencing information regarding the length of custody and probation, and amount of fine.
Class of Individuals: Youth and adults who have been charged with an offence and appeared in court. The adult component includes persons aged 18 years or older at the time of the offence. The youth component includes persons aged 12 to 17 years old at the time of the offence.
Purpose: The personal information is used to develop and maintain a national database of statistical information on charges, appearances, and cases in youth courts and adult criminal courts. The data are used to respond to the needs of the provincial, territorial and federal departments of justice and attorneys-general, researchers and policy analysts, academics and the media, as well as to inform the public on how youths and adults appearing in provincial-territorial and superior criminal courts are dealt with in Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13, 26).
Consistent Uses: The information may be used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice and Community Safety Statistics (CCJCSS), including Homicide Statistics (StatCan PPU 025), and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160028
Bank Number: StatCan PPU 027

Justice Research

Description: This bank describes information from a number of justice-related files that contain personal identifiers and are used in statistical and analytical research. Sources of information may include selected databases from federal, provincial and municipal government bodies that are mandated to collect data pertaining to the justice system, which are submitted to Statistics Canada for specific research studies. Personal information (where available) may include name, date of birth, address and the following categories of information: biographical, citizenship status, educational, language and government issued identification.
Class of Individuals: Individuals having contact with the justice system (e.g., police services, criminal and civil courts, correctional services).
Purpose: The personal information is used for justice research with a broad objective of addressing various justice-related issues and to improve the delivery of justice services to Canadians. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13, 26, 27).
Consistent Uses: The research studies may involve linking the data to other Statistics Canada databases, both justice and non-justice related, such as the T1 Family File (StatCan PPU 111), Vital Statistics (StatCan PPU 035), and the Census of Population (StatCan PPU 008) in order to meet the study objectives. With the authorization of the data providers, information may be disclosed to the members of the National Justice Statistics Initiative (federal and provincial justice ministries) for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160029
Bank Number: StatCan PPU 028

Labour Statistics

Description: Includes records related to the collection, analysis of dissemination of monthly labour market estimates from household and business surveys and administrative records. The information supports economic, social and monetary policy and is used by governments, financial institutions and researchers to better understand how work and work time are distributed, to identify groups at risk, and to monitor the impact of labour market policies and programs.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements.
Record Number: StatCan LAB 035

Employment Insurance

Description: This bank describes information, obtained from Employment and Social Development Canada (ESDC PPU 501), on persons separating from their job, as well as those applying for and receiving Employment Insurance (EI) benefits. Personal information may include the characteristics of EI beneficiaries and summary information on their EI claim, such as reason for separation, insured earnings and number of hours worked, benefits paid, incidence of disqualification and disentitlement, Social Insurance Number, age, gender, Aboriginal status, visible minority status, program identifier, employer business number, and postal code.
Class of Individuals: Persons separating from their job and those applying for and receiving EI benefits.
Purpose: The personal information is used to produce statistical data on the operation of the EI Program and to provide labour market statistics. It is also used to produce research useful to the development and evaluation of policies related to the Employment Insurance Program managed by Employment and Social Development Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, program information from the Employment Insurance program may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the Registered Apprenticeship Information System (StatCan PPU 083).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan LAB 035
TBS Registration: 20180016
Bank Number: StatCan PPU 017

Labour Force Survey

Description: This bank describes information collected through the Labour Force Survey, which is a monthly survey conducted on a sample of approximately 53,000 households. The records are identified by name and carry information on the family composition, activities and characteristics of individuals in the Labour Force Survey sample. The personal information includes the demographic profile of the respondent, employment profile such as name of employer, hours of work, and tenure. For those without work, information is available on work history, job search activities, and type of work sought. Data are also available on the educational pursuits of the respondent.
Note: Information relating to an individual cannot be retrieved based on name alone. The requester must provide the month(s) and year surveyed and the precise address at the time of the survey. There are also a number of special surveys that are conducted as supplements to the Labour Force Survey. To retrieve a record, the requester must provide the subject of the special survey, the year the survey was conducted, and the precise address at the time of the survey.
Class of Individuals: Individuals in private households.
Purpose: The personal information is used to produce employment and unemployment figures. The data also enable a wide variety of additional information to be derived on the characteristics of the Canadian labour force and on the population age 15 and over. Personal information is collected pursuant to the Statistics Act (Sections 3, 7).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan LAB 035
TBS Registration: 001841
Bank Number: StatCan PPU 015

Population Estimates

Description: Includes records related to the production of post-censal and inter-censal population estimates. Population estimates are produced at various geographic levels: Canada, province and territory, census division, census metropolitan area economic region and municipality. Data also include estimates of components of population growth: births, deaths, immigration, emigration, returning emigrants, change in non-permanent residents, and interprovincial and intraprovincial migration.
Document Types: Administrative records, Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports.
Record Number: StatCan DEM 030

Immigration – permanent and temporary residents

Description: This bank describes information that is obtained from Immigration, Refugees and Citizenship Canada (CIC PPU 068) on permanent residents (immigrants) and temporary residents (non-permanent residents). Personal information includes unique client identifier, name, sex, date of birth and address, as well as data on: Permanent residents (Admissions / landed immigrants), Applications for permanent residency, Confirmed departures (and removals from Canada), Refugee status claimants (non-permanent residents in Canada), Work permits (non-permanent residents in Canada), Study permits (non-permanent residents in Canada), Temporary Resident permits / Minister's permits (non-permanent residents in Canada), Annual addresses (all addresses available for all permanent and temporary residents), Provincial nominees (all provincial nominees by province and other related information).

Class of Individuals: Individuals who are permanent residents (immigrants) and temporary residents (non-permanent residents).
Purpose: The personal information is used to produce statistical data to support a better understanding of the immigration population, the evidence for policy development and decision making, and to improve the quality of immigration related results that are released by Statistics Canada. More specifically, the data will be used in the development of the: Demographic Estimates Program, Longitudinal Immigration Database, Canadian Statistical Demographic Database / Census Project Transformation Project, Census Reverse Record Check Project, Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for statistical and research purposes only. The information from these files may be combined with other administrative data records, and with survey responses to reduce respondent burden and enhance survey data. Subject to Statistics Canada's Directive on Microdata Linkage, information from these files may be combined with the surveys or administrative data sources described in this chapter, including but not limited to the Longitudinal Immigration Database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan DEM 030
TBS Registration: 20170139
Bank Number: StatCan PPU 157

Indian Register

Description: This bank describes information that is related to the registration of individuals as "Registered Indians" under the Indian Act and obtained from Indigenous and Northern Affairs Canada (formerly Aboriginal Affairs and Northern Development Canada) (AANDC PPU 110). Personal information may include name, sex, date of birth, death, marriage and divorce, membership to a band (or First Nation community), name of spouse, names of relatives, and place of residence.
Class of Individuals: Individuals who are "Registered Indians" under the Indian Act. Registered Indians are also known as Status Indians.
Purpose: The personal information is used to provide auxiliary information regarding Registered Indians to existing data sources in order to increase the quality and availability of data on Aboriginal peoples. This includes combining the information with data collected from the Census of Population (StatCan PPU 005) to process and certify census estimates. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: These data are also used for DEMOSIM (a Statistics Canada micro-simulation model designed to produce population projections) projections, to enhance record linkage environments such as the Social Domain Linkage Environment (SDLE), for the creation of the Canadian Statistical Demographic Database, and for other statistical projects relating to Registered Indians in Canada.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 20170144
Bank Number: StatCan PPU 160

Small Area and Administrative Data

Description: Includes records related to the use of T1 income tax data for statistical and analytical purposes. Also includes records related to the Small Area Database that contains annual socio-economic and demographic data for sub-provincial areas. Data come from sources within and external to Statistics Canada. Also includes records related to the Longitudinal Administrative Databank which contains individual and family information on approximately five million people based on tax records from the Canada Revenue Agency.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SAD 555

Longitudinal Administrative Databank

Description: This bank describes tax information drawn from a 20% sample of individuals from the T1 Family File (StatCan PPU 111) and, in the case of immigrants, information from the Longitudinal Immigration Database (StatCan PPU 135). Personal information may include name, demographic information such as gender and date of birth, marital status, mother tongue, country of birth, citizenship, Social Insurance Number, income, occupation, education and date of arrival in Canada.
Class of Individuals: Taxfilers.
Purpose: The databank is used to study the dynamics of life events such as marriage, migration, etc. and its impact on income and economic status. It is used to produce aggregate, non-identifiable data on the economic performance and demographic characteristics of the population over time. This information is essential to the development and evaluation of policies related to economic well-being. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 24) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SAD 555
TBS Registration: 005004
Bank Number: StatCan PPU 112

T1 Family File (T1FF)

Description: The database describes information on all taxfilers as well as their identifiable filing and non-filing family members (census family definition). The family formation is done through deterministic and probabilistic matching and imputation. The data are compiled from taxation files and supplemented with estimates of components of income and taxes not covered in the federal taxation system (e.g., some provincial refundable tax credits, taxes for the province of Quebec).
Class of Individuals: Taxfilers and non-filers.
Purpose: The personal information is used to produce annual statistical data for large and small areas, providing a social and economic profile of the population. This information is essential, particularly to governments and private organizations, to the process of developing and evaluating programs and policies related to financial well-being. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 24).
Consistent Uses: The information from taxation files may be combined with other administrative data records, and with survey responses to reduce respondent burden and enhance survey data. Subject to Statistics Canada's Directive on Record Linkage, information from the T1FF may be combined with the surveys or administrative data sources described in this chapter, including but not limited to the Longitudinal Immigration Database (StatCan PPU 135) and Census of Population and National Household Survey (StatCan PPU 005).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SAD 555
TBS Registration: 005003
Bank Number: StatCan PPU 111

Tourism Statistics

Description: Includes records related to the collection, analysis and dissemination of statistics on tourism and travel within and outside of Canada.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, letters of agreement and memoranda of understanding.
Record Number: StatCan ECT 180

Social Analysis

Description: Includes records relating to the analysis of socio-economic phenomena focusing on labour markets, income, pensions, health, education and the family.
Document Types: Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SES 297

Social Characteristics

Description: Includes data related to the collection, analysis and dissemination of statistics on key social issues, including immigration, population groups, Indigenous peoples, persons with disabilities, religion, ethnicity, language, social identity, giving and volunteering, victimization, youth, families, gender, seniors, time use, care giving and receiving, and social well-being through surveys such as the General Social Survey.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan HFS 722

General Social Survey

Description: This bank describes information collected through the General Social Survey (GSS), which covers a rotating theme of topics including: social support; time use; giving, volunteering and participating; victimization; families; and caregiving and care receiving. Personal information may include the first and last name and date of birth of each member of the household as reported by a member of the household; and the first and last name and date of birth of the selected respondent as reported by the selected respondent.
Note: Individuals requesting information on their participation in a GSS cycle will need to provide the name of the survey cycle in which they participated, the year in which the survey was conducted and their phone number at that time. Because personal information is self-reported, it should be noted that if a respondent did not provide their name during the interview (for example provided a pseudo name), Statistics Canada will be unable to identify their participation in the survey.
Class of Individuals: Population aged 15 and over living in the 10 Canadian provinces excluding those living in institutions. One GSS cycle (Victimization) also include those aged 15 and over living in the North.
Purpose: The personal information is used to produce statistical data on social trends in order to monitor changes in the living conditions and well-being of Canadians over time and to provide immediate information on specific social policy issues of current or emerging interest. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: For recent cycles of the GSS, the information is linked to income tax data files (StatCan PPU 111) in order to obtain personal and household income, and reduce burden on respondents. Data from the GSS on Social Identity were also linked to the Longitudinal Immigrant database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 20160031
Bank Number: StatCan PPU 155

Surveys on Giving, Volunteering and Participating

Description: The bank describes information collected on how Canadians support individuals and communities on their own or through their involvement with charitable and non-profit organizations by means of the Canada Survey on Giving, Volunteering and Participation and the Follow-up Survey of Giving, Volunteering and Participation. The personal information includes full name, address, telephone number, education, marital status, language of choice, type of employment, annual income, citizenship and immigration status, religion, ethnic origin, health status, civic participation (such as participating in school council or youth organizations), amount of money donated and payment method and to which organization(s), history of volunteering activities, nature of volunteer work, name of organization, reasons for volunteering, formal or informal volunteering, i.e., helping a friend or neighbour and reasons for not volunteering.
Note: Starting with reference year 2012, this survey is part of the General Social Survey (StatCan PPU 155).
Class of Individuals: Individuals who are aged 15 years and over.
Purpose: The personal information is used to produce statistical data on unpaid volunteer activities, charitable giving and participation as well as their motivations and barriers for doing so. The results will help build a better understanding of these activities which can in turn be used to help develop programs and services. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other personal identifiers may be shared with Imagine Canada (formerly the Canadian Centre for Philanthropy) and Health Canada as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes. A selection of respondents who participated in the Canada Survey on Giving, Volunteering and Participation were re-contacted as part of a follow-up survey, the Follow-Up Survey of Giving, Volunteering and Participating, to determine how their volunteering and giving patterns may have changed, and if so, why.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 007092
Bank Number: StatCan PPU 156

3) Censuses

Through the Censuses program, Statistics Canada provides statistical information and analyses that measure changes in the Canadian population and its demographic characteristics, and in the agricultural sector. This information is used to support government priorities and charters and serves as a basis for public and private decision making, and research and analysis in areas of concern to Canadians. The program includes the Census of Population and the Census of Agriculture. It meets constitutionally specified statistical requirements, statutory requirements and the requirements of regulatory instruments. Both the Census of Population and the Census of Agriculture are mandated by the Statistics Act; the Census of Population is also mandated in the Constitution Act. The Census of Population provides detailed information on population subgroups for small geographic areas, which is required to assess the effects of specifically targeted policy initiatives, and serves as a foundation for other statistical surveys. The Census of Agriculture produces a comprehensive picture of the agriculture sector at the national, provincial and subprovincial levels. These data are used to benchmark the Agriculture Statistics Program, which feeds the Canadian System of Macroeconomic Accounts to form the agriculture component of the gross domestic product.

1940 National Registration Records

Description: Includes records related to the 1940 National Registration Records which includes information from a compulsory registration of all persons 16 years of age or older in the period 1940-1946.
Document Types: Administrative records, operation and planning documents, decision records, correspondence, statistical databases.
Record Number: StatCan COP 020

1940 National Register

Description: This bank describes information obtained from the 1940 National Registration Records, which provide social and economic information on individuals as well as information on their skills. Personal information may include name, racial origin, birthplace, nationality, education and work experience.
Class of Individuals: All persons 16 years of age or older in the period 1940-1946 with the exception of those people who were, at the time of registration, members of the armed forces, a religious order, or confined to an institution.
Purpose: The information was originally obtained under the authority of the National Resources Mobilization Act, 1940, and the War Measures Act to permit the mobilization of all of the effective resources of the nation for the defence and security of Canada. The National Registration Regulations pursuant to this legislation gave custody of the records to Statistics Canada, then known as the Dominion Bureau of Statistics.
Consistent Uses: A program has been established called the Census Microfilm and Pension Searches Sub-unit, which provides third parties with information on individuals who were included in the 1940 National Registration Records. This information is typically requested for genealogical purposes and is made available only if proof is provided that the person about whom information is requested has been deceased for more than 20 years. Searches are also conducted to provide proof of age, place of residence, family relationships or length of residence in Canada from the 1940 National Registration Records. The service is normally provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records are required but no longer exist or, as in a number of cases, were never issued. Name, address and basic demographic characteristics of the applicant are verified prior to completion of request. A standard fee of $45 (plus applicable taxes) is charged for each search undertaken; the fee is refunded if the search is not successful. Requests should be sent to the Census Microfilm and Pension Search Sub-unit, Census Operations Division, Statistics Canada, 170 Tunney's Pasture Driveway, Ottawa, Ontario, K1A 0T6.
Retention and Disposal Standards: Records will be retained as long as required for genealogical research purposes.

RDA Number: 2007/001
Related Record Number: StatCan COP 020
TBS Registration: 001840
Bank Number: StatCan PPU 010

Census of Agriculture Statistics, Agriculture-Population Linkage and Content Test Process

Description: Includes records related to the planning, collection, processing, dissemination and evaluation of the Census of Agriculture which is conducted every five years and the linkage of Census of Agriculture data with data from the Census of Population and the National Household Survey. The Census test process begins with the content consultation, which obtains data needs and data gaps from key stakeholders and there is the census test which is sent out to a subset of the agricultural population to complete the entire questionnaire, including new content.
Document Types: Questionnaires, operation and planning documents, decision records, enumerator, interviewer and help-line operator manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan AGR 445

Census of Agriculture Database

Description: This bank describes information that is obtained from the Census of Agriculture on the characteristics of farms and farm operators and information relating to crops, livestock, poultry, machinery, farm operating expenses and receipts by type of farm. Information on assets, liabilities and investments is also available.
Class of Individuals: Individuals considered to be farm operators.
Purpose: The information is used to provide a base inventory of Canadian agriculture, input to the Canadian System of Macroeconomic Accounts and information for production, marketing and policy decisions. Personal information is collected pursuant to the Statistics Act (Sections 3, 20, 21).
Consistent Uses: Statistics Canada may release name and address information to other members of the national agricultural statistical system for statistical purposes if the legal requirements imposed by the Statistics Act under section 17 are met.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan AGR 445
TBS Registration: 001843
Bank Number: StatCan PPU 030

Census of Agriculture – Census Test

Description: This bank describes information on characteristics of farms and farm operators that is collected through the Census of Agriculture – Census Test. Personal information may include: name, address, date of birth, gender, preferred language of communication, telephone number and information on assets, liabilities and investments.
Class of Individuals: Individuals considered to be farm operators that are selected to participate in the Census of Agriculture – Census Test.
Purpose: The personal information is used to produce statistical data assist in determining whether new or revised questions proposed for the Census of Agriculture Program can be easily understood and correctly answered, and to assess public reaction to these questions by testing them on a small scale basis. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: None
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan AGR 445
TBS Registration: 20180044
Bank Number: StatCan PPU 031

Census of Population Program Management and Operations

Description: Includes records related to the collection, processing, analysis, and dissemination of statistics from the Census of Population and the National Household Survey as well as testing and consultations and post-censal evaluation studies. The program also manages Statistics Canada's role in the prosecution of individuals who fail to complete a census questionnaire as required under the Statistics Act.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, enumerator, interviewer and help-line operator manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan COP 015

Census of Population and National Household Survey

Description: This bank describes information about individuals whose personal information was collected in any of the Censuses of Population taken since 1921 and, for 2011, individuals whose personal information was collected in the voluntary National Household Survey. The Census of Population is a national inventory of Canada's key socio-economic phenomena conducted at prescribed intervals by statutory requirement. Personal information may include name, contact information, demographic information (including age, date of birth, ethnicity, and religion), citizenship status, languages spoken or understood, relationship to cohabitant(s), limitation on ability to do daily activities, educational information, financial information, work and other social and economic characteristics depending on the particular census or survey. It may also include data on income from the Canada Revenue Agency.
Class of Individuals: All individuals in Canada and Canadians abroad at the time of the census, as well as individuals selected to complete a National Household Survey questionnaire.
Purpose: The personal information collected in the Census of Population Program are compiled into statistics which are used for a wide range of purposes including the determination of economic and social policies, planning industrial development, and estimating needs for schools, roads and many other public services. Population figures are used to determine federal electoral district boundaries, and to calculate per capita grants to provinces and municipalities. Personal information collected in the National Household Survey is used in aggregate form for statistical analysis of current population and societal trends. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8, 19, 21).
Consistent Uses: Census and National Household Survey questionnaires may be used to draw samples for surveys approved by Statistics Canada for research purposes, and for studies that are part of the evaluation program for the Census of Population and the National Household Survey. Census and National Household Survey data may be combined with other survey or administrative databases described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). Census and National Household Survey information may be used to respond to requests from individuals for proof of age, length of residence in Canada, citizenship, Aboriginal status or other similar purposes. This service is provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records no longer exist or were never issued.
Retention and Disposal Standards: As required by the Statistics Act, records are kept for 92 years after the census and are then transferred to Library and Archives Canada. Information collected in a census taken in 2006, 2011 and 2016, and the 2011 National Household Survey will be transferred only with consent of the person to whom the information relates. This information may also be made available to the public for research purposes after 92 years.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 001839
Bank Number: StatCan PPU 005

Census of Population - Alternate Records for 2016 Census

Description: This bank describes information that was obtained from the Regional Municipality of Wood Buffalo, Alberta's Office of Statistics and Information, and the Alberta Treasury Board and Finance. It includes information from the municipal censuses of 2012 and 2015, and on evacuees from other communities of northern Alberta affected by the 2015 northern Alberta wild fires. Personal information may include name, mailing and email address, age, date of birth, gender, telephone number, family size, relationships and first nation status.
Class of Individuals: Residents of Wood Buffalo enumerated in the 2012 and 2015 municipal censuses, and individuals who were evacuated as a result of the northern Alberta wildfires in May 2015.
Purpose: The personal information is used to enhance the collection of census data in 2016 to produce statistical data about the population of Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22). The information was needed since the wildfires resulted in relocation of residents, which hindered the collection of the 2016 Census.
Consistent Uses: The information may be used to draw samples for surveys approved by Statistics Canada for research purposes, and for studies that are part of the evaluation program for the Census of Population Program. Subject to Statistics Canada's Directive on Microdata Linkage, information may be combined with the surveys or administrative data sources described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). The information may also be used to respond to requests from individuals for proof of age, length of residence in Canada, citizenship, Aboriginal status or other similar purposes. This service is provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records no longer exist or were never issued.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 20170142
Bank Number: StatCan PPU 009

Census of Population - Census Program Content Test

Description: This bank describes information related to individuals who have participated in content tests conducted to test Census of Population Program questions. Personal information may include name, contact information, demographic information (including age, date of birth, ethnicity, and religion), Social Insurance Number (SIN), citizenship status, languages spoken or understood, relationship to cohabitant(s), educational information, financial information, work and other social and economic characteristics depending on the particular census or survey.
Class of Individuals: Individuals within households selected to participate in Census Program test surveys.
Purpose: The objectives of the test are to determine whether new or revised questions proposed for the Census Program can be easily understood and correctly answered, and to assess public reaction to these questions by testing them on a small scale basis. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for a period of 5 years after the completion of the Census Program test and then are destroyed. Digital images of questionnaires from tests conducted prior to the 2011 Census were kept for a period of 6 years.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 002096
Bank Number: StatCan PPU 007

Census of Population - Evaluation Program

Description: This bank describes information that is related to individuals who have participated in post-census surveys that measure census coverage, data quality, and the enumeration of unoccupied dwellings and non-respondent households. Personal information may include name, contact information and demographic information such as age and date of birth.
Class of Individuals: Individuals selected to participate in Census of Population evaluation studies.
Purpose: The personal information is used to conduct studies as part of the evaluation program for the Census of Population. Studies measure census overcoverage by developing estimates of duplicate and erroneous enumerations. Census undercoverage is measured by developing estimates of the number and characteristics of persons and households that were missed. Studies are also used to adjust the census counts for non-response, to estimate the number of occupied private dwellings that were misclassified as vacant, and to adjust the occupied dwelling counts of the census accordingly.
Consistent Uses: Study results are used to make adjustments in Statistics Canada's population estimates program and to develop improved procedures for future censuses. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Retention and Disposal Standards: Records are retained only for as long as required for statistical purposes after the evaluation activity and then are destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 003015
Bank Number: StatCan PPU 008

Census Pension Searches Program

Description: This bank describes information that relates to applicants to the Census Microfilm and Pension Search Sub-unit and to members of the applicant's family. Search reference information such as name, date of birth, place of birth and place of residence is provided by the applicant in order to undertake a search of historical census and 1940 National Registration Records. Results of a successful search will be furnished in the form of a certified transcript of the information found in the original records.
Class of Individuals: Individuals who make an application under the program.
Purpose: The personal information is used to undertake a search of historical census and the 1940 National Registration records in order to provide proof of age, length of residence in Canada, citizenship or Aboriginal status. The service is normally provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records are required but no longer exist or, as in a number of cases, were never issued. Name, address and basic demographic characteristics of the applicant are verified prior to completion of request. Personal information is collected under the authority of the Statistics Act (paragraph 4(2)(b)).
Consistent Uses: None.
Retention and Disposal Standards: Records are destroyed three years after their last administrative use.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 003117
Bank Number: StatCan PPU 012

Referrals to the Department of Justice - Refusal to Complete Census of Population or Census of Agriculture Questionnaires

Description: This bank describes information that is related to individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire and whose details may have been referred to the Department of Justice (JUS). Personal information may include name, contact information and other information relevant to an assessment of each case by JUS.
Class of Individuals: Individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire and whose cases may have been referred to the Department of Justice.
Purpose: The personal information is used to determine whether to pursue in a court of law those individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire as required by the Statistics Act. Information is disclosed to, and used by, the Department of Justice for prosecution under Section 31 of the Statistics Act; refer to Prosecution and Related Criminal Matters JUS PPU 015.
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for three years after their last administrative use and then destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 002097
Bank Number: StatCan PPU 120

4) Centres of Expertise

The Centres of Expertise support all other Statistics Canada programs to ensure that Canadian citizens, businesses, governments, universities and other institutions have access to the most detailed, timely and accurate information at the lowest cost possible—both in terms of dollars and response burden—while protecting the privacy of their information. The centres facilitate trade and exchanges with other countries by promoting similar statistical systems around the world through standardized concepts, methods and classification systems and through international co-operation. Through their innovative research, analysis and data development activities, the centres continually seek new data sources, leading edge methods and systems, cost effective operations and new statistical products to address the current and future information needs of Canadians.

Administrative Data

Description: Records related to the management, processing and use of data from taxation records of individuals and businesses or from other administrative records, and the incorporation of this information in multiple statistical programs throughout Statistics Canada.
Document Types: Administrative records, operation and planning documents, decision records, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan ADD 530

Linkage Control File

Description: This bank describes information that is used to support the Longitudinal Immigration Database and record linkages conducted by Statistics Canada. Source files include the T1 Family File, the Canada Child Tax Benefit File, the historical postal code and telephone files, and the historical landing date file. Personal information may include name, demographic information such as gender and date of birth, Social Insurance Number (SIN), Immigrant Serial Number and date of arrival in Canada.
Class of Individuals: Taxfilers (both immigrants and non-immigrants).
Purpose: The personal information is used to facilitate and improve the accuracy of the linkage of the files described above in support of the Longitudinal Immigration Database and other record linkages conducted by Statistics Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 24) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20120251
Bank Number: StatCan PPU 136

Housing Data

Description: This bank describes information pertaining to housing statistics, including mortgages, first-time home-buyers, and seniors' housing obtained from public (Federal, Provincial/Territorial, or Municipal) and private organizations, including data from the Canada Mortgage and Housing Corporation (CMHC) such as the National Housing Act (NHA) Insured Loans Files ( CMHC PPU 040) and the National Housing Act (NHA) Mortgage Loan Administration Files (CMHC PPU 015). Personal information may include names of borrowers, co-borrowers, residents of CMHC subsidized senior housing units, contact information, addresses, unique identification numbers, date of birth, employment history, dependents, income, financial assets, debts and credit scores.
Note: This PIB excludes information covered under the "Property Assessment" PIB (StatCan PPU 141).
Class of Individuals: Individuals with residential and commercial CMHC registered mortgages and residents of CMHC subsidized senior housing accommodations.
Purpose: The personal information is used to produce statistical data to administer the Canadian Housing Survey, and for the purposes of the Building and Address Register, Household Survey Frame and the Residential Property Price Index programs. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information may be used to create program inventories, which will assist in avoiding the duplication of collection and the evaluation of housing statistics in Canada. The use of linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20180015
Bank Number: StatCan PPU 143

Property Assessment Data

Description: This bank contains personal information about individuals registered with property assessment agencies across Canada. Personal information may include Social Insurance Number, current and former property owners' legal names, gender, mailing address, email address, phone number, date of birth, citizenship, residency information, business telephone number, and other information such as the property's address and roll number.
Class of Individuals: Individuals owning property and registered with property assessment agencies or corporations across Canada.
Purpose: The personal information is used to produce statistical data for Statistics Canada in relation to the Censuses Program, housing, price indices and statistical address registry programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for promoting and developing integrated social and economic statistics pertaining to the whole of Canada, and to each of the provinces and territories thereof, and to coordinate plans for the integration of such statistics. The use of record linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170140
Bank Number: StatCan PPU 141

Social Insurance Register (SIR)

Description: This bank describes information related to Social Insurance Number (SIN) applicants obtained from Employment and Social Development Canada (ESDC PPU 390). In addition to the SIN, personal information may include name, date of birth, address and the following categories of information: biographical, citizenship status, family, language and government issued identification.
Class of Individuals: Persons residing in Canada and having a social insurance number.
Purpose: The personal information is used to produce statistical data for Statistics Canada's Socio-economic Statistics and Censuses programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for statistical and research purposes only. Subject to Statistics Canada's Directive on Microdata Linkage, the social insurance information may be combined with surveys or administrative data sources described in this chapter, including but not limited to the Census of Population and National Household Survey (StatCan PPU 005).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170138
Bank Number: StatCan PPU 139

Smart Meter

Description: This bank contains personal information of individuals registered with hydro-electric meter or smart meter programs across Canada. Personal information of consumers registered in the program may include names, billing address (including postal code), meter account number, telephone numbers and email addresses, and special billing circumstances such as social assistance, bankruptcy plan and payment status.
Class of Individuals: Consumers of hydro-electric power registered with service providers across Canada.
Purpose: The personal information is used to produce statistical data in relation to electric power utilities. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for promoting and developing integrated social and economic statistics pertaining to the whole of Canada, and to each of the provinces and territories thereof, and to coordinate plans for the integration of such statistics. The use of record linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170141
Bank Number: StatCan PPU 142

T1 Business (Self-employed)

Description: This bank describes information that supports business surveys and other statistical activities at Statistics Canada. It is composed of a financial declaration file as well as a business declaration file, and contains information from various T1 files received from the Canada Revenue Agency. Personal information on the financial declaration file may include Social Insurance Number, business name, address and province. The business declaration file includes business name, address and province.
Class of Individuals: Self-employed taxfilers.
Purpose: The list of self-employed workers is used for statistical purposes, including sampling and estimation. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 24).
Consistent Uses: The information from the T1 files may be combined with other administrative data records and with business survey responses in order to reduce the response burden for smaller businesses selected for surveys.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170145
Bank Number: StatCan PPU 137

T1 Enhanced Database

Description: This bank describes information that supports social and household surveys and other statistical activities at Statistics Canada. The source of the information is the T1 Personal Master File received from the Canada Revenue Agency. Personal information may include name, address and demographic information such as sex and date of birth, as well as Social Insurance Number.
Class of Individuals: Taxfilers
Purpose: The list of taxfilers is used for statistical purposes, including sampling and estimation. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 24) for statistical purposes.
Consistent Uses: The information from the T1 files may be combined with other administrative data records and with survey responses, including but not limited to special surveys (StatCan PPU 016) and health surveys (StatCan PPU 806) in order to reduce response burden and enhance survey data.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.
RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170146
Bank Number: StatCan PPU 138

Client Service Activities

Description: Records related to the coordination of client service activities including the development of strategic communications plans, surveys and focus groups to assess client satisfaction and identify client needs, coordination of outreach activities, management of the Client Relationship Management System and the management of client information for the fulfillment of inquiries, purchase of products and services and support.
Document Types: Communications and outreach plans, outreach activities and evaluation, decision records, databases, invoices, contracts and memoranda of understanding.
Record Number: StatCan MAR 572

Client Information

Description: This bank describes information that relates to individuals who have contacted Statistics Canada for information and/or purchased products and services. Personal information may include: name, contact information, financial institution information, language, other identification numbers (e.g., client number), views and opinions (e.g., limit on contact for promotional purposes), and signature.
Class of Individuals: General public and representatives of businesses, organizations and other institutions.
Purpose: Personal information is collected pursuant to the Statistics Act (paragraph 4(2)(b)) and the Financial Administration Act, and is used to respond to inquiries or to process requests for products or services.
Consistent Uses: The information may be used, with consent, to contact clients for outreach activities and events, and client service purposes. Information may also be used for audit and evaluation purposes.
Retention and Disposal Standards: Records will be retained for two years after the last administrative use and are then destroyed.

RDA Number: 2007/0001
Related Record Number: StatCan MAR 572
TBS Registration: 20091596
Bank Number: StatCan PPU 805

Corporate Business Architecture

Description: Records related to all activities covered under the mandate of the Corporate Business Architecture Initiative.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports.
Record Number: StatCan SOP 602

Spatial Data Infrastructure

Description: the Spatial Data Infrastructure (SDI) contains the national road network (including road names and address ranges) from the National Geographic Database (NGD), a shared database between Statistics Canada and Elections Canada. The SDI supports a wide range of Census of population and Census of agriculture operations, such as the maintenance and delineation of the boundaries of standard geographic areas and custom area creation. SDI supports several social and business statistical programs, and administrative sources; and geocoding activities. The SDI is also the source for generating and disseminating many geography products such as cartographic and digital boundary files and road network files, combining geospatial information with statistical data to support analytical activities and create mapping tools.
Document Types: Administrative records, operation and planning documents, decision records, maps, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan GEO 520

Standards

Description: Records related to statistical units, variables, and classifications such as the North American Industry Classification System (NAICS), the North American Product Classification System (NAPCS), the Standard Geographical Classification (SGC), Classification of Instructional Programs (CIP) and the National Occupational Classification (NOC), and related products for coding and concordances. Also includes data sources and methods for Statistics Canada's surveys and statistical programs and an inventory of questionnaires.
Document Types: Operation and planning documents, decision records, statistical metadatabases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan STD 535

Statistical Address Register

Description: Records related to the maintenance of a central register of residential dwelling addresses and its related telephone frame for statistical purposes. The register is used by statistical programs to determine the in-scope population, select samples for socioeconomic programs, support collection activities and support the Census of Population and social surveys.
Document Types: Administrative records, operation and planning documents, decision records, maps, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan ADR 520

Household Survey Frame Service

Description: This bank describes information from residential telephone billing files and directories obtained from data suppliers including service providers. Personal information may include name and contact information.
Class of Individuals: General population.
Purpose: The personal information is linked to a series of databases including the Census of Population (StatCan PPU 005) and the T1 Family File (StatCan PPU 111) to add demographic information such as gender, date of birth, marital status and family income. The combined contact and demographic information is used to create survey frames for a number of household surveys conducted by Statistics Canada based on the geography selected. The survey frame is the basis for selecting samples for surveys conducted by Statistics Canada. Personal information is collected under the authority of the Statistics Act (Sections 3, 13).
Consistent Uses: Information from a survey frame may also be used for methodological purposes such as to decrease statistical bias and to make adjustments for non-response to the survey.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADR 520
TBS Registration: 20160033
Bank Number: StatCan PPU 804

Statistical Business Register

Description: Records related to the development and maintenance of a central register of enterprises and associated establishments for statistical purposes, including individuals who have declared business income as well as sole proprietorships. The register is used by statistical programs to determine the in-scope population, select samples for economic programs, support collection activities, monitor respondent burden and support/perform business demographics analysis.
Document Types: Administrative records, operation and planning documents, decision records, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BUS 525

Statistics Act Advice and Documentation

Description: Records related to the provision of services for the interpretation and administration of the Statistics Act, and compliance with all legal requirements concerning data collection, use and disclosure. Includes documents that outline specific conditions for access to confidential information obtained pursuant to the Statistics Act, such as standard data-sharing agreements under Sections 11 or 12 of the Act, agreements for obtaining records pursuant to Section 13 and authorized disclosures under Section 17(2). Also comprises records related to privacy impact assessments, record linkage and prescription of survey collection activities.
Document Types: Operation and planning documents, decision records, directives and guidelines, communications material and correspondence, data-sharing agreements, discretionary disclosure orders and agreements, survey prescription request forms and orders, record linkage and project proposals, privacy impact assessments, threat risk assessments, contracts and memoranda of understanding.
Record Number: StatCan SAD 700

Survey Management and Operations

Description: Records related to survey development and management of collection operations for multiple household and business surveys. Also includes records relating to data entry and coding services, and processing of information obtained from survey respondents or from other organizations.
Document Types: Questionnaires, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, statistical databases, evaluation reports.
Record Number: StatCan SOP 601

Survey Methods

Description: Records related to survey design, methodology, data science, data quality and data analysis for programs that conduct surveys and use administrative records.
Document Types: Operation and planning documents, decision records, evaluation reports, technical and scientific papers, algorithms and user guides.
Record Number: StatCan MET 545

5) Cost-Recovered Statistical Services

Through the Cost-recovered Statistical Services program, Statistics Canada conducts special surveys to gather new data; produces high-quality statistics that are currently not part of the agency's data holdings; and conducts on-demand special analytical projects to meet specific needs of federal, provincial and territorial institutions and other clients.

Aboriginal Peoples Surveys

Description: Records related to various surveys which collect extensive data on the living conditions of Aboriginal Peoples in Canada.
Document Types: Questionnaires, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan HFS 716

Census Cost-recovered Services

Description: Includes records on the analysis, tabulation and dissemination of statistics related to the Censuses. These services are offered, on a cost-recovery basis, to meet the needs of external clients such as other federal government departments.
Document Types: Analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan COP 025

Data Access Services

Description: Includes records related to data access services offered mostly on a cost-recovery basis, such as the Data Liberation Initiative, Research Data Centres, the Canadian Centre for Data Development and Economic Research, and the Real Time Remote Access program, to support the statistical needs of external clients, such as federal government departments and academic institutions.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports, research proposals, contracts and memoranda of understanding.
Record Number: StatCan RDC 505

Deemed Employees

Description: Includes records related to persons who are temporarily engaged by Statistics Canada to conduct research or to provide another service to a statistical program.
Document Types: Contracts, memoranda of understanding, résumés, research proposals.
Record Number: StatCan RDC 501

Deemed Employee Information

Description: This bank describes information collected from individuals who have been contracted to carry out research or to perform other work pursuant to the Statistics Act. The personal information may include: full name, address, telephone and fax numbers, email address, qualifications/résumé, signed copies of contracts or memoranda of agreement, signed oaths or affirmation of secrecy, signed copies of the Acknowledgment related to the Oath of Secrecy and the Values and Ethics Code for the Public Service.
Class of Individuals: Individuals who have approved research projects to be undertaken in a Research Data Centre or at Statistics Canada headquarters, or who have been engaged to provide a specific service to Statistics Canada. In the majority of cases, these individuals are researchers.
Purpose: The personal information is used to manage individuals who are conducting research or are providing a service to Statistics Canada for which they are required to have access to sensitive statistical information. Personal information is collected pursuant to the Statistics Act (Sections 4, 5, 6).
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for two years after their last administrative use and then are destroyed. Records of signed oaths or affirmation of secrecy are kept indefinitely.

RDA Number: 2007/001
Related Record Number: StatCan RDC 501
TBS Registration: 007093
Bank Number: StatCan PPU 810

Demography

Description: Includes records on the analysis, tabulation and dissemination of statistics related to the Censuses. These services are offered, on a cost-recovery basis, to meet the needs of external clients such as other federal government departments.
Document Types: Administrative records, decision records, analytical articles and studies, special tabulations, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan DEM 031

Economic and Environmental Statistics

Description: Includes records related to the collection, processing, analysis and dissemination of economic and environmental statistics from various ad hoc and recurring surveys, on a cost-recovery basis, for external clients such as other federal government departments. Also includes records relating to the dissemination of micro-simulation models of individuals, families or firms that are used to draw conclusions at higher levels of aggregation such as an entire country.
Document Types: Questionnaires, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SES 292

Longitudinal Immigration Data

Description: Includes records related to the development and maintenance of the Longitudinal Immigration Database.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan HFS 723

Longitudinal Immigration Database

Description: This bank describes information collected from immigration and tax files that is used for statistical research on the economic performance of immigrants in Canada. Source files include the Landing File from Citizenship and Immigration Canada and information from the Government of Quebec on immigrants to that province. This information is linked to the T1 Family File based on taxation information from the Canada Revenue Agency. Personal information may include name, demographic information such as sex, date of birth and death, country of birth, citizenship, date of arrival in Canada, immigrant class, education, work history and income.
Class of Individuals: Immigrants and their families.
Purpose: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data from 1980 onwards on the economic behaviour of the immigrant taxfiler population in Canada and provides insight on the economic performance of immigrants and the impact of immigration policy. The IMDB is managed by Statistics Canada on behalf of a federal-provincial consortium led by Citizenship and Immigration Canada. The personal information is used to produce aggregate, non-identifiable data on the immigration population over time. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 24).
Note: The IMDB is reviewed every five years to ensure its continuing relevance to the development of immigration policy.
Consistent Uses: Selected variables on immigration from persons on the IMDB are added to the records of immigrant taxfilers on the Longitudinal Administrative Databank (StatCan PPU 112). This database, which is used for statistical research, is a 20% sample of all taxfilers in Canada selected from the T1 Family File (StatCan PPU 111).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 723
TBS Registration: 003726
Bank Number: StatCan PPU 135

Socio-economic Statistics and Special Surveys

Description: Includes records related to the collection, analysis and dissemination of socio-economic statistics from various ad hoc and recurring household surveys, mostly on a cost-recovery basis, for external clients such as other federal government departments.
Document Types: Questionnaires, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SSD 040

Administrative records for Special Surveys

Description: This bank describes information that is obtained from provincial ministries of health and education. Health topics include use of health services, visits to hospitals, clinics and doctors' offices. The Education topics include educational achievement, special education requirements, program type, and school behaviour. Personal identifiers may include: name, birth date, sex and postal code, as well as education-related or health-related identifiers such as health number.
Class of Individuals: General public or individuals selected for specific surveys, such as children, aged 4-17 years during the reference period, selected to participate in the 2014 Ontario Child Health Study.
Purpose: The personal information is used to enhance information collected through special surveys conducted by Statistics Canada. Personal information is collected under the authority of the Statistics Act (Sections 3, 13).
Consistent Uses: The administrative data provided to Statistics Canada from ministries will be linked to the survey data (Special Surveys – StatCan PPU 016) and may also be combined with other Statistics Canada databases, such as the T1 Family File (StatCan PPU 111).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 20160032
Bank Number: StatCan PPU 812

Community Noise and Health Study

Description: This bank describes information that is collected through the Community Noise and Health Study (CHNS), which was conducted on behalf of Health Canada. In a personal interview at their home, respondents were asked a series of health-related questions and had their resting blood pressure measured, provided a hair sample for analysis of chronic stress and were asked to wear a sleep watch during a seven-day period for a sleep evaluation. This bank contains information for approximately 1200 respondents between the ages of 18 and 79. Personal information includes name, address, GPS coordinates, phone number, age, sex, population group, education, height, weight, health conditions, quality of life, sleep quality, caffeine consumption, alcohol use, smoking status and income.
Class of Individuals: Population from Prince Edward Island and Ontario living in areas close to noise sources, with one person 18 to 79 years of age selected per household.
Purpose: The Community Noise and Health Study (CHNS) was designed to explore the relationships between noise and health issues, such as hypertension, levels of chronic stress and measures of sleep quantity and quality. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: De-identified hair samples are sent to the Koren & Van Uum lab at the University of Western Ontario for analysis conducted on behalf of Statistics Canada, and the final microdata file is available to researchers, which may include Health Canada employees, in the Research Data Centres for analysis of health issues related to noise. All laboratory staff and researchers with access to data are deemed employees of Statistics Canada and subject to the conditions and penalties of the Statistics Act. Results of physical measures, such as sleep and blood pressure, are provided to respondents who opted to receive a copy of the report, while results of hair cortisol levels are available upon request only. Respondents were also asked for their consent to allow Statistics Canada to link their CNHS data with other surveys and administrative data, such as sound measurement data and health records held by their provincial ministry of health. Respondents who consented provided their provincial health number to facilitate the data linkage.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 20140003
Bank Number: StatCan PPU 811

Longitudinal Survey of Immigrants to Canada

Description: This bank describes information collected through the Longitudinal Survey of Immigrants to Canada, which was designed to study how recent immigrants adjust to living in Canada which assists organizations such as Citizenship and Immigration Canada to determine how to facilitate the integration of new immigrants. The survey was longitudinal, with recent immigrants being interviewed at approximately six months, two years, and four years after landing in Canada. Approximately 20,300 immigrants from across Canada were selected. Topics covered in the survey included language proficiency, housing, education, foreign credential recognition, employment, health, values and attitudes, the development and use of social networks, income, and perceptions of settlement in Canada.
Class of Individuals: Immigrants aged 15 years and over who arrived from abroad between October 2000 and September 2001.
Purpose: The survey was designed to improve the understanding of how immigrants adjust to life in Canada. Survey results shed light on the association between the socio-economic background of immigrants and their adjustment to life in Canada. It also identified barriers newcomers to Canada face during their initial integration and what type of help, if any, was useful. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: Respondents were asked to sign a consent form (distributed through the Canadian Missions Abroad) to allow Statistics Canada to link to administrative files (T1 Family File – StatCan PPU 111), for the purposes of tracing.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 005005
Bank Number: StatCan PPU 018

National Longitudinal Survey of Children and Youth

Description: This bank describes information collected on a sample of children across Canada every two years. The National Longitudinal Survey of Children and Youth was initiated in November/December 1994. Information on over 23,000 children was collected during this first collection. Up to two children in each household were chosen from the initial sample to participate in the longitudinal portion of the survey. It is the intention to follow these children until they are 25 years of age. Interviews were conducted with the most knowledgeable person in the household about these children, usually their mother. Children who were 10 and 11 years of age in this first collection were asked to complete a questionnaire themselves. Information was also collected from the child's teacher and principal, with the consent of the parent. Personal information may include name, contact information, and the following categories of information: demographics (such as age and sex), health of children, physical development, learning and behaviour and social environment (family, friends, schools and communities).
Class of Individuals: Children aged 0 to 11 in 1994-1995. For Cycles 2, 3, 4 and 5, a new sample of children aged 0-1 at the time of collection was added and followed in two subsequent cycles. As well, a cross-sectional sample of 5-year-olds was chosen to top up Cycles 3 and 4 and a sample of 0 to 5-year-olds was chosen to top up Cycle 6. In addition, a sample of kindergarten children has been selected periodically in a small number of communities as part of a related project.
Purpose: The primary objectives of the survey are to determine the prevalence of various biological, social and economic characteristics and risk factors in Canadian children and youth, to monitor the impact of such factors, life events and protective factors on these children's development. This provides information to policy and program officers for use in developing effective policies and strategies to help children to live healthy, active and rewarding lives. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with Employment and Social Development Canada, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003635
Bank Number: StatCan PPU 014

Second Follow-up to the Ontario Child Health Study

Description: This bank describes information collected through the Ontario Child Health Study (OCHS), which is a longitudinal survey designed to evaluate the impact of early childhood on later adult health, quality of life and role functioning. In 1983 Statistics Canada, in conjunction with McMaster University, first collected information on a group of 3,294 Ontario children living in 1,869 families. Information was gathered on any children in the household between the ages of 4 and 16. A follow-up of respondents to the 1983 study was conducted in 1987. The second follow-up of the Ontario Child Health Study in 2000 and 2001 went back to these children, who were at the time between the ages of 21 and 33, in order to collect further information about them, their spouse/partner (if applicable) and any children they had. Respondents and their spouse/partners both completed questionnaires. Personal information may include the following categories of information: name, contact, demographics (such as age and sex), health, emotional well-being, education, employment and income.
Class of Individuals: Children aged 4 to 16 in 1983; 8 to 20 in 1987; and 21 to 33 in 2000-2001, their spouse/partner (if applicable) and their children (if applicable).
Purpose: The objective of the Second Follow-up to the Ontario Child Health Study was to link early childhood/adolescent experiences with early adult life, especially with respect to how well the respondent is performing in three major roles (worker, parent and partner), and how satisfied they were in these roles. This second follow-up of the OCHS, along with the previous studies, provided useful information for addressing many public health and developmental questions of interest to health researchers. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with McMaster University, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 005006
Bank Number: StatCan PPU 019

Self-Sufficiency Project

Description: This bank describes information on the selected recipients' marital status, labour market participation, education and training, child care requirements, and family and parenting concerns. Several interviews were conducted, one at the beginning of the program, and up to four follow-up interviews, the last taking place 72 months after the first for some participants. In addition to collecting a wide array of information about the selected participant, a follow-up survey gathered additional information on up to two children between the ages of 4 and 18 in each household. Depending on the age of the children, they were asked to complete a vocabulary test, a math test or a literacy skill assessment. Children between the ages of 10 and 18 were also asked to answer a self-complete questionnaire.
Class of Individuals: Income assistance recipients (and their children) in New Brunswick and British Columbia.
Purpose: The Self Sufficiency Project is a multi-year research demonstration designed to test the effectiveness of an earnings supplement to income assistance recipients who take jobs and agree to leave public assistance. Statistics Canada is responsible for data collection and creating analysis files for the study. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: Respondents were asked to sign a consent form to allow Statistics Canada to link a variety of data sources, including administrative files held by the Canada Revenue Agency (T1 Family File – StatCan PPU 111), Employment and Social Development Canada and the provincial income assistance ministries. Respondents were asked for authorization to share this information with the research firm administering the project and affiliated researchers.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003214
Bank Number: StatCan PPU 026

Special Surveys

Description: This bank describes information collected through ad hoc surveys, which do not form part of the regular survey taking activity of the Agency. They cover a variety of socio-economic topics including health, housing, labour market, education and literacy, as well as demographic data. The information may include name, Social Insurance Number (SIN), address or telephone number.
Class of Individuals: Individuals selected to participate in the special surveys.
Purpose: The data are used by sponsoring agencies or Statistics Canada to either evaluate or benchmark existing socio-economic programs or to develop such programs. The data collected may be one time or a series of point-in-time measures. Personal information, including the Social Insurance Number, is collected under the authority of the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: Depending on the individual survey, data may be shared with other federal and provincial government departments and other incorporated bodies if Statistics Canada has entered into a data-sharing agreement under section 12 of the Statistics Act and the respondent has consented.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 002189
Bank Number: StatCan PPU 016

Workplace and Employee Survey

Description: This bank describes information collected through the Workplace and Employee Survey, which was a longitudinal business survey designed to provide current information of events occurring in firms, their evolution over time, and the link between these developments and practices with worker outcomes. The survey annually collected information from about 8,000 employers and 25,000 employees for the reference years 1999 to 2006. The employer questionnaire covered workforce characteristics, hirings and separations, compensation and human resource practices, training, technology use, business strategy and innovation. The employee questionnaire covered job activities, promotions, hours, earnings, training, use of computers and other technologies, education and family characteristics.
Class of Individuals: Paid workers who receive a T4 from their current employer.
Purpose: The survey supports research and policy development with respect to labour adjustment programs, workplace practices, social programs and education. Personal information was collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003899
Bank Number: StatCan PPU 140

Youth in Transition Survey

Description: This bank describes information collected on a sample of youth across Canada every two years, through the longitudinal Youth in Transition Survey. The survey was initiated in January and May 2000. Information on over 52,000 youth from two age cohorts (15-year-olds and 18 to 20-year-olds) was collected during the first collection. For the 15-year-olds, information was also collected from their parents. Personal information may include the following categories of information: name, contact, demographics (such as age and sex), educational and labour market experiences, achievement, aspirations and expectations, and employment experiences.
Class of Individuals: Youth born in 1979, 1980, 1981 and 1984.
Purpose: The personal information is used to produce policy-relevant information about school-work transitions and factors influencing education, training and work. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with Employment and Social Development Canada, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 075146
Bank Number: StatCan PPU 150

Statistical Infrastructure Services

Description: Includes records related to statistical infrastructure services (e.g., development of concepts, support for data collection and dissemination activities, provision of advice and technical assistance) offered on a cost-recovery basis to meet the needs of external clients such as other federal government departments.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports, maps, special tabulations, microdata files, statistical databases, project proposals, contracts and memoranda of understanding.
Record Number: StatCan SOP 610

6) Internal Services

Internal services constitute groups of related activities and resources that are administered to support the needs of programs and other corporate obligations of an organization. These groups are management and oversight services, communications services, legal services, human resources management services, financial management services, information management services, information technology services, real property services, material services, acquisition services, and travel and other administrative services. Internal services include only those activities and resources that apply across an organization and not to those provided specifically to a program.

Acquisition Services

Acquisition services involve activities undertaken to acquire a good or service to fulfill a properly completed request (including a complete and accurate definition of requirements and certification that funds are available) until entering into or amending a contract.

Procurement and Contracting Class of Record
- Professional Services Contracts Personal Information Bank

Communications Services

Communications services involve activities undertaken to ensure that Government of Canada communications are effectively managed, well-coordinated and responsive to the diverse information needs of the public. The communications management function ensures that the public—internal or external—receives government information, and that the views and concerns of the public are taken into account in the planning, management and evaluation of policies, programs, services and initiatives.

Communications Class of Record
- Internal Communications Personal Information Bank
- Public Communications Personal Information Bank

Financial Management Services

Financial management services involve activities undertaken to ensure the prudent use of public resources, including planning, budgeting, accounting, reporting, control and oversight, analysis, decision support and advice, and financial systems.

Financial Management Class of Record

Human Resources Management Services

Human resources management services involve activities undertaken for determining strategic direction, allocating resources among services and processes, as well as activities relating to analyzing exposure to risk and determining appropriate countermeasures. They ensure that the service operations and programs of the federal government comply with applicable laws, regulations, policies and plans.

Information Management Services

Information management services involve activities undertaken to achieve efficient and effective information management to support program and service delivery; foster informed decision making; facilitate accountability, transparency and collaboration; and preserve and ensure access to information and records for the benefit of present and future generations.

Information Technology Services

Information technology services involve activities undertaken to achieve efficient and effective use of information technology to support government priorities and program delivery, to increase productivity, and to enhance services to the public.

Information Technology Class of Record
- Electronic Network Monitoring Personal Information Bank

Legal services

Legal services involve activities undertaken to enable government departments and agencies to pursue policy, program and service delivery priorities and objectives within a legally sound framework.

Legal Services Class of Record

Management and Oversight Services

Management and oversight services involve activities undertaken for determining strategic direction and allocating resources among services and processes, as well as those activities related to analyzing exposure to risk and determining appropriate countermeasures. They ensure that the service operations and programs of the federal government comply with applicable laws, regulations, policies or plans.

Material Services

Material services involve activities undertaken to ensure that material can be managed by departments in a sustainable and financially responsible manner that supports the cost-effective and efficient delivery of government programs.

Material Management Class of Record
- Vehicle, Ship, Boat and Aircraft Accidents Personal Information Bank

Real Property Services

Real property services involve activities undertaken to ensure that real property is managed in a sustainable and financially responsible manner, throughout its life cycle, to support the cost-effective and efficient delivery of government programs.

Real Property Management Class of Record

Travel and Other Administrative Services

Travel and other administrative services include Government of Canada travel services, as well as those other internal services that do not smoothly fit with any of the internal services categories.

Classes of Personal Information

Business surveys

This class describes personal information used in support of Statistics Canada surveys that are intended for industrial and service sectors of the economy. The personal information collected and used relates to contact persons for the organizations, language, views and opinions of individuals, and, in the case of unincorporated businesses, financial and operational information. The personal information collected is not used for any administrative purposes that affect these individuals and is not organized or intended to be retrieved by name or other personal identifier. Retention of this personal information is one year after its last operational use and then it is destroyed.

Household surveys

This class describes personal information collected by Statistics Canada in support of various household surveys, in cases where no names or other personal identifiers are retained. The personal information collected is not used for any administrative purposes that affect these individuals and is not organized or intended to be retrieved by name or other personal identifier.

Manuals

Companion Guide to the Statistics Act
Interviewer Training Manuals
Public Use Microdata Files Documentation for Surveys
Security Practices Manual
Statistics Canada Policy Suite
Statistics Canada Quality Guidelines

Additional Information

The Government of Canada encourages the release of information through informal requests. You may wish to consult Statistics Canada's completed Access to Information (ATI) summaries. To make an informal request, contact infostats@statcan.gc.ca or phone 1-800-263-1136 or 613-951-8116 (TTY: 1-800-363-7629).

To make a formal request, mail your letter or Access to Information Request Form (Access to Information Act) or Personal Information Request Form (Privacy Act), along with any necessary documents (such as consent or the $5.00 application fee for a request under the Access to Information Act) to the following address:

Access to Information and Privacy Coordinator
Statistics Canada
100 Tunney's Pasture Driveway
Ottawa (Ontario) K1A 0T6

Please note: Each request made to Statistics Canada under the Access to Information Act must be accompanied by an application fee of $5.00, cheque or money order made payable to the Receiver General for Canada.

Statistics Canada conducts Privacy Impact Assessments (PIAs) to ensure that privacy implications will be appropriately identified, assessed and resolved before a new or substantially modified program or activity involving personal information is implemented. Summaries of completed PIAs are available online.
For additional information about the programs and activities of Statistics Canada, please visit Surveys and statistical programs by subject or contact infostats@statcan.gc.ca. For Statistics Canada data available through the Government of Canada Open Data Portal, please consult the Open Government website.

Reading Room

In accordance with the Access to Information Act and the Privacy Act, the applicant may wish to review material in person. The address is:

R.H. Coats Building, 2nd Floor
100 Tunney's Pasture Driveway
Ottawa (Ontario) K1A 0T6

Monthly Survey of Manufacturing: National Level CVs by Characteristic - August 2023

National Level CVs by Characteristic
Table summary
This table displays the results of Monthly Survey of Manufacturing: National Level CVs by Characteristic. The information is grouped by Month (appearing as row headers), and Sales of goods manufactured, Raw materials and components inventories, Goods / work in process inventories, Finished goods manufactured inventories and Unfilled Orders, calculated in percentage (appearing as column headers).
Month	Sales of goods manufactured	Raw materials and components inventories	Goods / work in process inventories	Finished goods manufactured inventories	Unfilled Orders
Month	%
August 2022	0.68	1.14	1.76	1.58	1.36
September 2022	0.66	1.07	1.83	1.58	1.48
October 2022	0.66	1.10	1.82	1.55	1.48
November 2022	0.65	1.10	1.68	1.58	1.46
December 2022	0.61	1.08	1.89	1.57	1.47
January 2023	0.65	1.14	1.81	1.40	1.47
February 2023	0.68	1.15	1.87	1.39	1.53
March 2023	0.66	1.11	1.73	1.39	1.44
April 2023	0.68	1.09	1.61	1.35	1.42
May 2023	0.70	1.11	1.71	1.43	1.44
June 2023	0.72	1.11	1.82	1.51	1.45
July 2023	0.71	1.10	1.71	1.34	1.51
August 2023	0.68	1.10	1.68	1.37	1.42

Monthly Survey of Manufacturing: National Weighted Rates by Source and Characteristic - August 2023

National Weighted Rates by Source and Characteristic, August 2023
	Response or edited	Imputed
	Data source
	%
Sales of goods manufactured	88.4	11.6
Raw materials and components	78.1	21.9
Goods / work in process	81.2	18.8
Finished goods manufactured	77.1	22.9
Unfilled Orders	84.9	15.1
Capacity utilization rates	72.2	27.8

Archived - Monthly Refined Petroleum Products 2024

If necessary, please make address label corrections in the boxes below.

Legal name
Business name
Title of contact
First name of contact
Last name of contact
Address (number and street)
City
Province/territory or state
Country
Postal code/zip code
Language preference
- English
- French

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Completion of this questionnaire is a legal requirement under this act.

Survey purpose

To obtain information on the supply of and demand for energy in Canada. This information serves as an important indicator of Canadian economic performance, is used by all levels of government in establishing informed policies in the energy area and, in the case of public utilities, is used by governmental agencies to fulfil their regulatory responsibilities. The private sector likewise uses this information in the corporate decision-making process. Your information may also be used by Statistics Canada for other statistical and research purposes.

Confidentiality

Security of emails and faxes

Statistics Canada advises you that there could be a risk of disclosure during facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded to all information collected under the authority of the Statistics Act.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes.

Reporting instructions

Please refer to the reporting instruction before completing this report.

Reporting Period

Month
Year

Does this establishment ship or receive products by pipeline, tanker or barge?

Operations (Cubic Metres)

Instructions:

For product definitions and detailed survey instructions please consult the provided references.
All values should be reported in cubic metres. All values should be positive except for Column H (Losses and Adjustments During Month), which can be negative.
Each bolded product line should be balanced. When products are balanced, Stocks Beginning of Month + Receipts + Production = Inputs + Shipments + Fuel Uses + Losses and Adjustments + Stocks End of Month. A warning will appear if the values are not balanced.
The Losses and Adjustments column for each bolded product line should be under 5% of (Stocks Beginning of Month + Receipts + Production). A warning will appear if the value is too high.
Total Inputs and Production (Line 79) should be within 5%.

2024 Monthly Refined Petroleum Products
Item Description	Inputs During Month	Production During Month
Crude oil, TOTAL (including synthetic crude oil)
Conventional crude oil - light
Conventional crude oil - heavy
Crude bitumen
Lease condensate
Synthetic crude oil
Hydrogen
Other hydrocarbons
Renewable fuels, TOTAL
Fuel Ethanol
Biodiesel Fuel (FAME)
Renewable Diesel Fuel (HDRD/HVO)
Other renewable fuels and intermediate products
Oxygenates (excluding fuel ethanol), Total
Ethyl tertiary butyl ether (ETBE)
Other oxygenates
Hydrocarbon gas liquids, TOTAL
Ethane and ethylene, TOTAL
Ethane
Ethylene
Propane and propylene, TOTAL
Propane
Propylene
Normal butane and butylene, TOTAL
Normal butane
Butylene
Isobutane and isobutylene, TOTAL
Isobutane
Isobutylene
Pentanes plus
Unfinished oils, Total (excluding synthetic crude oil)
Naphthas and lighter
Kerosene and light gas oils
Heavy gas oils
Residuum
Finished motor gasoline, TOTAL
Blended with fuel ethanol
Other finished motor gasoline
Motor gasoline blending components, TOTAL
Blendstock for oxygenate blending (BOB)
Gasoline treated as blendstock (GTAB)
Other motor gasoline blending components
Finished aviation gasoline
Aviation gasoline blending components
Special naphthas (solvents)
Kerosene-type jet fuel
Kerosene
Distillate fuel oil, TOTAL
Diesel fuel oil
Light fuel oil (No. 2 and No. 3 heating fuel oils)
Residual fuel oil, TOTAL (No. 4, No.5 and No. 6 fuel oils)
Under 1.00% sulphur
Over 1.00% sulphur
Lubricants, TOTAL
Naphthenic
Parafinic
Asphalt
Wax
Petroleum coke
Still gas
Petrochemical feedstocks, TOTAL
Naphtha less than 205°C (401°F) end-point
Other oils greater than or equal to 205°C (401°F) end-point
Miscellaneous products
Total	0	0

Comments: Identify any unusual aspects of your reporting month's operations.

Retail Commodity Survey: CVs for Total Sales July 2023

Retail Commodity Survey: CVs for Total Sales July 2023
Table summary
This table displays the results of Retail Commodity Survey: CVs for Total Sales (July 2023). The information is grouped by NAPCS-CANADA (appearing as row headers), and Month (appearing as column headers).
NAPCS-CANADA	Month
NAPCS-CANADA	202304	202305	202306	202307
Total commodities, retail trade commissions and miscellaneous services	0.65	0.67	0.59	0.64
Retail Services (except commissions) [561]	0.63	0.65	0.58	0.63
Food and beverages at retail [56111]	0.39	0.42	0.42	0.42
Cannabis products, at retail [56113]	0.00	0.00	0.00	0.00
Clothing at retail [56121]	1.13	0.92	0.85	0.85
Jewellery and watches, luggage and briefcases, at retail [56123]	6.04	4.26	3.94	3.88
Footwear at retail [56124]	1.30	1.20	1.14	1.27
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131]	1.09	1.10	1.02	0.92
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141]	2.27	1.76	1.83	1.73
Publications at retail [56142]	5.87	6.13	6.19	6.09
Audio and video recordings, and game software, at retail [56143]	6.31	5.87	4.35	4.73
Motor vehicles at retail [56151]	2.28	2.28	2.00	2.43
Recreational vehicles at retail [56152]	4.05	3.56	2.94	3.26
Motor vehicle parts, accessories and supplies, at retail [56153]	1.72	1.79	1.58	1.73
Automotive and household fuels, at retail [56161]	1.49	1.65	1.56	1.75
Home health products at retail [56171]	2.46	2.72	2.71	2.61
Infant care, personal and beauty products, at retail [56172]	2.94	3.62	2.98	2.80
Hardware, tools, renovation and lawn and garden products, at retail [56181]	1.73	1.85	2.03	1.82
Miscellaneous products at retail [56191]	2.34	3.10	2.31	2.19
Retail trade commissions [562]	2.59	2.77	2.18	2.27

Retail Commodity Survey: CVs for Total Sales (Second Quarter 2023)

Retail Commodity Survey: CVs for Total Sales (Second Quarter 2023)
Table summary
This table displays the results of Retail Commodity Survey: CVs for total sales (Second Quarter 2023). The information is grouped by NAPCS-CANADA (appearing as row headers), and Quarter (appearing as column headers).
NAPCS-CANADA	Quarter
NAPCS-CANADA	2023Q1	2023Q2
Total commodities, retail trade commissions and miscellaneous services	0.56	0.57
Retail Services (except commissions) [561]	0.55	0.56
Food and beverages at retail [56111]	0.34	0.40
Cannabis products, at retail [56113]	0.00	0.00
Clothing at retail [56121]	1.35	0.85
Jewellery and watches, luggage and briefcases, at retail [56123]	4.69	4.71
Footwear at retail [56124]	1.25	1.03
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131]	1.03	0.99
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141]	2.10	1.72
Publications at retail [56142]	5.75	6.21
Audio and video recordings, and game software, at retail [56143]	5.91	5.27
Motor vehicles at retail [56151]	1.93	1.95
Recreational vehicles at retail [56152]	3.64	2.20
Motor vehicle parts, accessories and supplies, at retail [56153]	1.59	1.49
Automotive and household fuels, at retail [56161]	1.38	1.47
Home health products at retail [56171]	2.52	2.65
Infant care, personal and beauty products, at retail [56172]	3.16	3.09
Hardware, tools, renovation and lawn and garden products, at retail [56181]	1.66	1.65
Miscellaneous products at retail [56191]	2.12	2.34
Retail trade commissions [562]	2.16	2.29

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Date modified:: 2025-06-03

Federal Science Expenditures and Personnel (FSEP) 2024/2025 – Activities in the social sciences, humanities and the arts

Information for respondents

Authority to publish

Respondent Information:

Enquiries to be directed to:

Purpose

Additional information

Authority

Confidentiality

Data-sharing agreements

Record linkage

Security of emails and faxes

Return procedures

FSEP - Introduction

Purpose

Question 1: Expenditures by activity and performer

General

Expenditures by activity and performer

I. Performers

II. Research and experimental development (R&D)

III. Related scientific activities (RSA)

Question 2: Personnel

Question 2: Personnel by gender

Question 3: Sources of funds

Question 4: Socio-economic objectives

Question 5: Expenditures and personnel by region

Federal Science Expenditures and Personnel (FSEP) 2024/2025 – Activities in the natural sciences and engineering

Information for respondents

Authority to publish

Respondent Information:

Enquiries to be directed to:

Purpose

Additional information

Authority

Confidentiality

Data-sharing agreements

Record linkage

Security of emails and faxes

Return procedures

FSEP - Introduction

Purpose

Question 1: Expenditures by activity and performer

General

Expenditures by activity and performer

I. Performers

II. Research and experimental development (R&D)

III. Related scientific activities (RSA)

Question 2: Personnel

Question 2: Personnel by gender

Question 3: Sources of funds

Question 4: Socio-economic objectives

Question 5: Expenditures and personnel by region

Food statistics

Food statistics

Foodstatistics

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Features

Data visualizations

Food availability

Food prices

Food security

Food labour

Food trade

Other information

Feedback

Canadian Statistics Advisory Council 2023 Annual Report - The Way Forward: Addressing Challenges Facing the National Statistical System

Message from the Canadian Statistics Advisory Council

Executive summary

Engagement and knowledge

Data flows

Recommendations

Engagement and knowledge

Recommendation 1:Engage Canadians and policy makers in a modern national statistical system

Recommendation 2:Invest in data science and analytical skills

Data flows

Recommendation 3:Develop innovative data flows

Recommendation 4:Recognize the role of data stewardship

1. Engagement and knowledge

1.1 Engage Canadians and policy makers in a modern national statistical system

Food
statistics

Recommendation 1:
Engage Canadians and policy makers in a modern national statistical system

Recommendation 2:
Invest in data science and analytical skills

Recommendation 3:
Develop innovative data flows

Recommendation 4:
Recognize the role of data stewardship