The purpose of the site is to provide information that will assist in the interpretation of Statistics Canada's published data. The information (also known as metadata) is provided to ensure an understanding of the basic concepts that define the data including variables and classifications; of the underlying methodology of our surveys; and of key aspects of the data quality. It also provides direct access to questionnaires.
What's new?
- Development of the Canadian Research and Development Classification - What we heard
- Correspondence table: NOC 2016 v1.3 - SOC 2018 (US)
- Correspondence table: SOC 2018 (US) - NOC 2016 v1.3
- National Occupational Classification (NOC) 2016 Version 1.3
- Participate in the revision of the North American Industry Classification System (NAICS) Canada
- Invitation to participate in the revision of the North American Product Classification System (NAPCS) Canada
Surveys and statistical programs
Questionnaires
Variables and statistical units
Statistical classifications
- Chart of Accounts: Financial position and performance of a business
- Environmental classifications
- Geographic classifications
- Industry classifications
- Institutional units and sectors
- Instructional programs
- Occupational classifications
- Product classifications
- Classifications - A to Z
- Classifying Cannabis
- Classification search tools
- Concordances between classifications
Public consultation and notices
- Geographic classifications
- Industry classifications
- Instructional program classifications
- Occupational classifications
- Product classifications
- Research and development classifications
Methodology products and services
- Consulting services in statistical and survey methods
- Data Quality Toolkit (12-606-X)
- Dissemination Geography Unique Identifier
- Standard table symbols
- Statistics Canada Quality Guidelines (12-539-X)
- Statistics Canada's Quality Assurance Framework (12-586-X)
- Survey methodology journal
- Survey methods and practices manual
Metadata Frameworks
- Generic Statistical Information Model (GSIM)
- Generic Statistical Business Process Model (GSBPM)
- Record Linkage Project Process Model (12-605-X)