Supplementary information tables

The following supplementary information tables are available on Statistics Canada's website:

Reporting on green procurement

This supplementary information table supports reporting on green procurement activities in accordance with the Policy on Green Procurement.

1. Context

Although Statistics Canada is not bound by the Federal Sustainable Development Act and is not required to develop a full Departmental Sustainable Development Strategy, Statistics Canada adheres to the principles of the Federal Sustainable Development Strategy (FSDS) by complying with the Policy on Green Procurement.

The Policy on Green Procurement supports the Government of Canada's effort to promote environmental stewardship. In keeping with the objectives of the policy, Statistics Canada supports sustainable development by integrating environmental performance considerations into the procurement decision‑making process through the actions described in the 2019 to 2022 FSDS "Greening Government" goal.

2. Commitments

Greening Government: The Government of Canada will transition to low-carbon, climate-resilient and green operations.
Federal Sustainable Development Strategy target(s) Federal Sustainable Development Strategy contributing action(s) Corresponding departmental action(s) Starting point(s), performance indicator(s), target(s) Results achieved Contribution by each departmental result to the Federal Sustainable Development Strategy goal and target

Actions supporting the Greening Government goal and the Policy on Green Procurement

Departments will use environmental criteria to reduce their environmental impact and ensure best value in government procurement decisions.

  • Integrate environmental considerations into procurement management processes and controls.
  • Ensure paper purchased by Statistics Canada is made from recycled material.
  • To reduce waste generated and minimize the environmental impacts of assets throughout their lifecycle, Statistics Canada will continue to embed environmental considerations in public procurement in accordance with the Policy on Green Procurement.
  • Copy paper purchased by Statistics Canada contains a minimum of 30% recycled content and has a forest certification, ECOLOGO certification or equivalent certification.
  • Statistics Canada incorporates environmental considerations into all public procurement by releasing all solicitations electronically, accepting electronic bids, and using existing procurement instruments available through Public Services and Procurement Canada that include environmental considerations.
  • 100% of copy paper purchased contains a minimum of 30% recycled content and is certified to a recognized environmental standard to reduce the environmental impact of its production.

Motivate suppliers to reduce the environmental impact of their goods, services and supply chains.

Departments will adopt clean technology and undertake clean technology demonstration projects.

N/A

N/A

N/A

N/A

Support for green procurement will be strengthened, including guidance, tools and training for public service employees.

  • Ensure that decision makers and materiel management and procurement specialists have the necessary training and awareness to support green procurement.
  • Ensure that key officials include support for and contributions to the Government of Canada's Policy on Green Procurement objectives in their performance evaluations.
  • 100% of specialists in procurement and materiel management have completed training on green procurement.
  • Performance evaluations of managers and functional heads of procurement and materiel management include support for and contributions to green procurement in the given fiscal year.
  • 100% of specialists in procurement and materiel management have completed the Canada School of Public Service Green Procurement course (C215) or equivalent.
  • 100% of performance evaluations of managers and functional heads of procurement and materiel management are aligned to support the objectives of the Government of Canada Policy on Green Procurement.

Motivate suppliers to green their goods, services and supply chain.

3. Report on integrating sustainable development

During the 2020–21 reporting cycle, Statistics Canada had no proposals that required a strategic environmental assessment and no public statements were produced.

Gender-based Analysis Plus

Section 1: Institutional Gender-based Analysis Plus capacity

As Canada's national statistical agency, Statistics Canada ensures Canadians have the information they need on Canada's economy, society and environment. With the importance of Gender-based Analysis Plus (GBA+) steadily increasing over the past several years, the need for more detailed statistical information and disaggregated data has also increased. To best support its data users—including other government departments—and better its own organizational and accountability outcomes, Statistics Canada continues to increase its GBA+ capacity across the agency.

A significant GBA+ milestone occurred in 2018–19 with the development of Statistics Canada's Centre for Gender, Diversity and Inclusion Statistics, which is responsible for reporting to Canadians and other government departments, generating new information, and building statistical capacity. To reach these objectives, the Centre developed a public-facing Gender, Diversity and Inclusion Statistics Hub, allowing data users to easily access and analyze Statistics Canada's GBA+ data holdings. The Centre is well placed to ensure that the agency is exercising leadership both internally and externally.

Within the agency, the Centre conducts GBA+ training, and all Memoranda to Cabinet and Treasury Board submissions continue to include a GBA+ analysis and commitment to disaggregate data to the fullest extent possible. Externally, the Centre supports federal departments in their commitment to GBA+ analysis through data development and capacity building. In 2020–21, to further the availability of information on gender, diversity and inclusion, the agency worked extensively with Women and Gender Equality Canada to conduct research, training and other initiatives related to GBA+.

Statistics Canada strives to build a workforce that is representative of the Canadian population and continues to set objectives to further diversify and enrich its talent pool at all levels throughout the agency.

In 2020–21, the agency recognized the importance of greater accountability through structured governance and reporting to employment equity committees. As a result, the agency introduced the Equity, Diversity and Inclusion Leadership Accountability Framework to better serve its employees and community through clearly identified roles and responsibilities.

Finally, the agency continued the development of two action plans to improve diversity and inclusion within the workplace—the 2021–25 Equity, Diversity and Inclusion Action Plan: Moving Forward Together, and the Integrity and Respect Action Plan. These action plans are dynamic and data-driven strategies that include concrete measures, processes and tools designed to promote diversity and inclusion, eliminate systemic barriers in appointment processes, and increase representation across the agency.

Section 2: Gender and diversity impacts by program

Core responsibility: Statistical information

Program name: Economic and Environmental Statistics

The Economic and Environmental Statistics program produces a wide range of economic and environmental statistics such as national and international accounts, manufacturing, wholesale, retail, research and development, price indexes, finance, tourism, transportation, agriculture, and the environment.

Target population: All Canadians

Key impacts:

Economic and Environmental Statistics: Key impacts
Performance indicators Observed results 2020–21 Data source Comment
Availability of economic and environmental analytical products relevant to GBA+

Number of Economic and Environmental Statistics analytical products and insights relevant to GBA+ and made available on Statistics Canada's website

Description: This indicator measures the number of Economic and Environmental Statistics analytical products and insights (e.g., research articles, studies, fact sheets) relevant to GBA+ released through The Daily and made available on the Statistics Canada website. GBA+ factors used to calculate this indicator include one or more of the following: sex or gender, Indigenous peoples, visible minorities, people with disabilities, immigrants, people who identify as LGBTQ2+, and those living in rural areas.

45 Statistics Canada website None

Other:

As part of the agency's commitment to making GBA+ disaggregated data available to Canadians, the Economic and Environmental Statistics program accomplished the following in 2020–21:

  • National Economic Accounts program: To support the economic participation and prosperity pillar of the Gender Results Framework, the human resources modules for the infrastructure accounts and selected satellite accounts (natural resources, environment) contain detailed breakdowns for men and women.
  • Corporations Returns Act: In March 2021, Statistics Canada released new data on the gender composition of corporate boards in Canada in 2017 and 2018. These data highlight women in leadership and strategic decision-making roles in corporations that conduct business in Canada.

GBA+ data collection plan:

In 2020–21, Statistics Canada continued to identify and address data gaps across its statistical programs. Statistics Canada responded by enhancing existing survey programs and integrating data sources to enable reporting on key population groups. Measures taken included integrating existing data sources, developing new survey questions, oversampling key population groups to allow for disaggregation and adding indicators to existing surveys.

Statistics Canada is currently developing a set of key performance indicators to measure the availability of disaggregated data relevant to GBA+ and exploring the possibility of measuring the relevance and impact of the data.

Core responsibility: Statistical information

Program name: Socio-economic Statistics

The Socio-economic Statistics program provides integrated information and relevant analysis on the demographic and socio-economic characteristics of individuals, families and households, as well as on the major factors that affect their well-being. Many of the statistical products produced allow for GBA+ analyses for key population groups.

Target population: All Canadians

Key impacts:

Socio-economic Statistics: Key impacts
Performance indicators Observed results 2020–21 Data source Comment
Initiatives that support GBA+ capacity building
Number of GBA+ consultations, training sessions and presentations conducted by the agency for external stakeholders
Description: This indicator measures the number of GBA+ capacity building activities conducted by the agency for external stakeholders.
18 Administrative data contained in an Excel spreadsheet titled "Number of GBA+ consultations" None
Availability of socio-economic analytical products relevant to GBA+
Number of Socio-economic Statistics analytical products and insights relevant to GBA+ and made available on Statistics Canada's website
Description: This indicator measures the number of Socio-economic Statistics analytical products and insights (e.g., research articles, studies, fact sheets) relevant to GBA+ released through The Daily and made available on the Statistics Canada website. GBA+ factors used to calculate this indicator include one or more of the following: sex or gender, Indigenous peoples, visible minorities, people with disabilities, immigrants, people who identify as LGBTQ2+, and those living in rural areas.
224 Statistics Canada website None
Number of Gender Results Framework indicators released by sex or gender
Description: This indicator measures the number of sex or gender disaggregated data tables, which correspond to Gender Results Framework indicators, made available through the Gender, Diversity and Inclusion Statistics Hub.
36 Gender, Diversity and Inclusion Statistics Hub This represents 84% of the Gender Results Framework indicators.
Number of Gender Results Framework indicators released by sex or gender and other identity factor
Description: This indicator measures the number of data tables disaggregated by sex or gender and other identity factors, which correspond to Gender Results Framework indicators, made available through the Gender, Diversity and Inclusion Statistics Hub.
7 Gender, Diversity and Inclusion Statistics Hub This represents 16% of the Gender Results Framework indicators.
Number of GBA+ socio-economic products related to the impacts of COVID-19
Description: This indicator measures the number of analytical products related to the impacts of COVID-19 on diverse population groups in Canada that have been made available.
15 Administrative data from Diversity and Sociocultural Statistics None
Number of page visits to the Gender, Diversity and Inclusion Statistics Hub
Description: This indicator measures the number of page visits to the Gender, Diversity and Inclusion Statistics Hub in a given fiscal year.
47,024 Adobe Analytics None

Other:

Centre for Gender, Diversity and Inclusion Statistics: The creation of the Centre in 2018–19 brought together much of the agency's GBA+ expertise, and its Gender, Diversity and Inclusion Statistics Hub centralized resources relevant to GBA+; promoted and provided greater access to research and detailed statistical information, including data disaggregated by sex, gender and other diversity characteristics; and reported on the Government of Canada's Gender Results Framework indicators.

Given the importance of statistical standards in the agency's work, the Centre released an infographic defining what statistical standards are and their importance. Moreover, the Centre, in collaboration with the Centre for Statistical and Data Standards, began developing a standard for measuring sexual orientation and completed the first round of consultations with experts within the federal government, academia and community organizations in early 2020. The second phase, which included 17 focus groups, took place in summer 2020. Since late January 2021, the proposed sexual orientation standards have been available for public review. A final round of qualitative testing will take place in late March 2021. This work is ongoing.

In collaboration with other government departments, Statistics Canada played a substantive role in filling important data gaps and making national standards available. Furthermore, recognizing the increasing need for GBA+ disaggregated data, the Centre worked with other Statistics Canada program areas to develop strategic priorities and an action plan to ensure that the data needed to disaggregate at the lowest level of population or geographic detail possible were available, while meeting quality requirements and respecting confidentiality. The action plan proposal outlined the need for data to be disaggregated by gender, for Indigenous peoples, people with disabilities and people in groups designated as visible minorities. Additional disaggregation priorities include people who identify as LGBTQ2+, children and youth, seniors, immigrants, veterans, people living in minority official language communities, and those living in low-income situations.

In addition, as part of the agency's commitment to making GBA+ disaggregated data available to Canadians, the Socio-economic Statistics program had the following key developments in 2020–21:

  • Social inclusion program: From the funding provided by Canada's Anti-Racism Strategy, Diversity and Sociocultural Statistics continued to work on developing its conceptual framework on social inclusion, including a large number of social inclusion indicators based on 2016 Census data (to be later updated with 2021 Census data) and data from other surveys such as the General Social Survey. Work continues to progress on this project. These indicators will be presented in the Gender, Diversity and Inclusion Statistics Hub using a new disaggregated classification of ethnocultural groups that combines the population group question with the ethnic and cultural origin question. Work is currently underway on the Social Indicators Visualization Project to produce indicators that will be used in a new interactive tool presented on the Gender, Diversity and Inclusion Statistics Hub.
  • General Social Survey on Social Identity: The new cycle of the General Social Survey on Social Identity will allow for the disaggregation of data for some specific ethnocultural groups.
  • Labour Force Survey: The survey was updated in July 2020 to begin collecting information on the labour market activities of population groups designated as visible minorities.
  • Canadian Centre for Justice and Community Safety Statistics: The agency published 11 justice-related analytical reports and 34 fact sheets from a GBA+ perspective. In addition, the agency engaged with police, academics and community groups to develop new variables to capture more detailed information on hate-motivated crime. Gender and selected diversity indicators are available on the accused and victim files.

Supplementary information sources:

Gender, Diversity and Inclusion Statistics Hub

GBA+ data collection plan:

In 2020–21, Statistics Canada continued to identify and address data gaps across its statistical programs. Statistics Canada responded by enhancing existing survey programs and integrating data sources to enable reporting on key population groups. Measures taken included integrating existing data sources, developing new survey questions, oversampling key population groups to allow for disaggregation and adding indicators to existing surveys.

Statistics Canada is currently developing a set of key performance indicators to measure the availability of disaggregated data relevant to GBA+ and exploring the possibility of measuring the relevance and impact of the data.

Core responsibility: Statistical information

Program name: 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.

Target population: All Canadians

Key impacts:

At this time, indicators for cost-recovered products are included in their respective program area (i.e., Economic and Environmental Statistics, Socio-economic Statistics, Centres of Expertise) and not identified separately.

Other:

In 2020–21, the Cost-recovered Statistical Services program had requests from a few departments to produce statistical information with a focus on GBA+ analysis.

  • Funded by Women and Gender Equality Canada:
    • Economic analysis projects focused on human capital by gender, gross domestic product by gender, the performance gaps between women-owned and men-owned enterprises, Black business owners, and people with disabilities and business ownership in Canada.
    • Social analysis projects focused on gender differences in science, technology, engineering and math enrolment and graduation; education and work experiences of women with disabilities; fathers' use of parental leave; gender gaps and characteristics of elected and appointed members of legislative bodies; and neighbourhoods, vulnerable populations and well-being across genders.
    • Health analysis projects focused on the extent to which the timing and the type of abuse are associated with receiving social assistance in adulthood, and whether there are differential effects of abuse on the probability of receiving social welfare according to the sex of the individual.
  • Funded by Employment and Social Development Canada, information was provided related to early learning and child care, which has a strong effect on women as it impacts their participation in the labour force and they make up a majority of the child care workforce.
  • Funded by Immigration, Refugees and Citizenship Canada, information was provided focusing onspecific immigrant groups in the labour market (including during the pandemic), predicting factors for employment earnings, and trends in the number and characteristics of international students in Canada.

GBA+ data collection plan:

In 2020–21, Statistics Canada continued to identify and address data gaps across its statistical programs. Statistics Canada responded by enhancing existing survey programs and integrating data sources to enable reporting on key population groups. Measures taken included integrating existing data sources, developing new survey questions, oversampling key population groups to allow for disaggregation and adding indicators to existing surveys.

Statistics Canada is currently developing a set of key performance indicators to measure the availability of disaggregated data relevant to GBA+ and exploring the possibility of measuring the relevance and impact of the data.

Core responsibility: Statistical information

Program name: Census Program

The Census Program provides statistical information and analyses that measure changes in the Canadian population and its demographic characteristics, and in the agricultural sector. The program includes the Census of Population and the Census of Agriculture.

Target population: All Canadians

Key impacts:

Census Program: Key impacts
Performance indicators Observed results 2016 Census Data source Comment
Availability of Census Program indicators relevant to GBA+

Number of GBA+ factors for which Census of Population statistical products are disaggregated

Description: This indicator measures the number of GBA+ factors for which the Census of Population statistical products are made available on Statistics Canada's website.

16 Statistics Canada website

Factors included are:

  • Indigenous peoples
  • Age and sex
  • Education
  • Families, households and marital status
  • Housing
  • Immigration and ethnocultural diversity
  • Income
  • Labour
  • Language
  • Language of work
  • Mobility and migration

Percentage of Census of Population analytical products and insights relevant to GBA+ and made available on Statistics Canada's website

Description: This indicator measures the percentage of Census of Population products and insights (e.g., data tables, census profile, highlight tables) relevant to GBA+ released through The Daily and made available on the Statistics Canada website. GBA+ factors used to calculate this indicator include one or more of the following: age, sex, language, Indigenous peoples, education, immigration, income, etc.

100% Statistics Canada website All Census of Population products include one or more GBA+ factors.

Number of GBA+ factors for which Census of Agriculture statistical products are disaggregated

Description: This indicator measures the number of GBA+ factors for which the Census of Agriculture statistical products are made available on Statistics Canada's website.

11 factors Statistics Canada website

Factors included are:

  • Sex
  • Language
  • Geography
  • Income
  • Age
  • Education
  • Indigenous peoples
  • Immigration status
  • Employment class
  • Operating arrangement (e.g., ownership)
  • Capital

Percentage of key users and clients satisfied with the level of detail in the census statistical products.

Description: This indicator measures the overall satisfaction of key users and clients with the level of detail available in the census statistical products they used. The level of detail is not exclusive to GBA+ factors. The question is answered on a five-point satisfaction scale (very dissatisfied, dissatisfied, neither satisfied nor dissatisfied, satisfied, and very satisfied). Only the responses of satisfied and very satisfied are included in the result.

75% Census Dissemination Consultation None

Other:

The 2021 Census of Population added and modified more than 30 questions that measure concepts such as immigration, language group, ethnic origin and visible minority status, as well as new questions for Métis and Inuit. These indicators allow for robust intersectional analysis across all key identity characteristics, age groups and geographies.

Supplementary information sources:

2021 Census questionnaires

GBA+ data collection plan:

In 2020–21, Statistics Canada continued to identify and address data gaps across its statistical programs. Statistics Canada responded by enhancing existing survey programs and integrating data sources to enable reporting on key population groups. Measures taken included integrating existing data sources, developing new survey questions, oversampling key population groups to allow for disaggregation and adding indicators to existing surveys.

Statistics Canada is currently developing a set of key performance indicators to measure the availability of disaggregated data relevant to GBA+ and exploring the possibility of measuring the relevance and impact of the data.

Core responsibility: Statistical information

Program name: Centres of Expertise

The Centres of Expertise support all 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 undertake innovative research, analysis and data development activities and 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.

Target population: All Canadians

Key impacts:

Census Program: Key impacts
Performance indicators Observed results Data source Comment
Availability of analytical products relevant to GBA+ produced by Statistics Canada's Centres of Expertise

Number of Centres of Expertise analytical products and insights relevant to GBA+ and made available on Statistics Canada's website

Description: This indicator measures the number of Centres of Expertise analytical products and insights (e.g., research articles, studies, fact sheets) relevant to GBA+ released through The Daily and made available on the Statistics Canada website. GBA+ factors used to calculate this indicator include one or more of the following: sex or gender, Indigenous peoples, visible minorities, people with disabilities, immigrants, people who identify as LGBTQ2+ and those living in rural areas.

63 Statistics Canada website None

Other:

In 2020–21, as part of the agency's commitment to make GBA+ disaggregated data available to Canadians, the Centres of Expertise program had the following key developments:

  • Sustainable development goals:

    Statistics Canada updated data for the Global Indicator Framework, which includes disaggregation and published 17 fact sheets. Additionally, to monitor progress on national priorities, Statistics Canada developed and released the Canadian Indicator Framework, which includes 76 indicators and GBA+-relevant disaggregation.

  • Economic analysis focused on statistical information on private enterprises by gender of primary owner, age of primary owner and enterprise size. Statistics on hours worked, labour compensation and other labour market information by gender, education, age, and paid versus self-employed were updated and used for calculating the contribution of labour skills to productivity and economic growth.
  • Health analysis: The 2016 Canadian Census Health and Environment Cohort was updated with deaths from 2016 to 2019 to allow the use of detailed information (e.g., age, sex, ethnicity). In addition, four GBA+-relevant papers using an immigration lens or a quality-of-life lens were published. Other reports completed include hospitalizations and mortality among immigrant men and women, among Indigenous men and women, and, in some instances, among various ethnic groups.
  • Social analysis: The Centres further developed income-tax-related data sources in terms of data validation, additional linkage feasibility, and the retrospective addition of a gender variable to files (1983 to 2018). New indicators were developed to measure multi-dimensional income mixing and distribution at the neighbourhood level, and social inclusion across a set of economic, social and health variables.

    A number of intersectional research projects that examined the gender pay gap, economic and labour market trends among diverse groups, and educational and social outcomes such as life satisfaction of women, racialized groups, seniors, youth, and immigrants were published.

    As part of Canada's Anti-Racism Strategy, two research projects were completed on the economic participation of racialized groups, including differences in weekly earnings of men and women in designated visible minority categories and differences across broad workplace sectors (e.g., private versus public, large versus small firms).

  • Social Policy Simulation Database and Model: Three COVID-19-specific versions of the Social Policy Simulation Database and Model were released. The models allow users to analyze the distributional effects of tax and transfer policies across a number of dimensions, including gender.

Supplementary information sources:

Sustainable Development Goals Data Hub

GBA+ data collection plan:

In 2020–21, Statistics Canada continued to identify and address data gaps across its statistical programs. Statistics Canada responded by enhancing existing survey programs and integrating data sources to enable reporting on key population groups. Measures taken included integrating existing data sources, developing new survey questions, oversampling key population groups to allow for disaggregation and adding indicators to existing surveys.

Statistics Canada is currently developing a set of key performance indicators to measure the availability of disaggregated data relevant to GBA+ and exploring the possibility of measuring the relevance and impact of the data.

Section 3: Program links to Gender Results Framework

Core responsibility: Statistical information

Program links to Gender Results Framework
Program name Education and skills development Economic participation and prosperity Leadership and democratic participation Gender-based violence and access to justice Poverty reduction, health and well-being Gender equality around the worldTable note 1
Economic and Environmental Statistics No No Yes No No No
Socio-economic Statistics Yes Yes Yes Yes Yes No
Cost-recovered Statistical Services Yes Yes Yes Yes Yes No
Census Program Yes No No No Yes No
Centres of Expertise Yes Yes Yes Yes Yes No
Table note 1

Statistics Canada disseminates Gender Results Framework indicators via the Gender, Diversity and Inclusion Statistics Hub. At present, Statistics Canada does not report on indicators related to gender equality around the world.

Return to table note 1 referrer

Section 4: Program links to Quality of Life Framework

Core responsibility: Statistical information

Program links to Quality of Life Framework
  Prosperity Health Environment Society Good governance
Economic and Environmental Statistics Yes No Yes No Yes
Socio-economic Statistics Yes Yes No Yes Yes
Cost-recovered Statistical ServicesTable note 1 Yes No No No Yes
Census ProgramTable note 2 Yes Yes No Yes No
Centres of Expertise Yes Yes Yes Yes Yes
Table note 1

Further examination is required to assess the feasibility of using cost-recovered statistical services to produce health-, environment- and society-related indicators within the Quality of Life Framework.

Return to table note 1 referrer

Table note 2

Further examination is required to assess the feasibility of using the Census of Population or Census of Agriculture to produce environment-related indicators within the Quality of Life Framework.

Return to table note 2 referrer

Response to parliamentary committees and external audits

Response to parliamentary committees

There were no parliamentary committee reports requiring a response in 2020–21.

Response to audits conducted by the Office of the Auditor General of Canada (including audits conducted by the Commissioner of the Environment and Sustainable Development)

There were no audits in 2020–21 requiring a response.

Response to audits conducted by the Public Service Commission of Canada or the Office of the Commissioner of Official Languages

There were no audits in 2020–21 requiring a response.

Federal tax expenditures

The tax system can be used to achieve public policy objectives through the application of special measures such as low tax rates, exemptions, deductions, deferrals and credits. The Department of Finance Canada publishes cost estimates and projections for these measures each year in the Report on Federal Tax Expenditures. This report also provides detailed background information on tax expenditures, including descriptions, objectives, historical information and references to related federal spending programs and evaluations and GBA+ of tax expenditures.

Appendix: definitions

appropriation (crédit)
Any authority of Parliament to pay money out of the Consolidated Revenue Fund.
budgetary expenditures (dépenses budgétaires)
Operating and capital expenditures; transfer payments to other levels of government, organizations or individuals; and payments to Crown corporations.
core responsibility (responsabilité essentielle)
An enduring function or role performed by a department. The intentions of the department with respect to a core responsibility are reflected in one or more related departmental results that the department seeks to contribute to or influence.
Departmental Plan (plan ministériel)
A report on the plans and expected performance of an appropriated department over a three year period. Departmental Plans are usually tabled in Parliament each spring.
departmental priority (priorité ministérielle)
A plan or project that a department has chosen to focus and report on during the planning period. Priorities represent the things that are most important or what must be done first to support the achievement of the desired departmental results.
departmental result (résultat ministériel)
A consequence or outcome that a department seeks to achieve. A departmental result is often outside departments' immediate control, but it should be influenced by program-level outcomes.
departmental result indicator (indicateur de résultat ministériel)
A quantitative measure of progress on a departmental result.
departmental results framework (cadre ministériel des résultats)
A framework that connects the department's core responsibilities to its departmental results and departmental result indicators.
Departmental Results Report (rapport sur les résultats ministériels)
A report on a department's actual accomplishments against the plans, priorities and expected results set out in the corresponding Departmental Plan.
experimentation (expérimentation)
The conducting of activities that seek to first explore, then test and compare the effects and impacts of policies and interventions in order to inform evidence-based decision making, and improve outcomes for Canadians, by learning what works, for whom and in what circumstances. Experimentation is related to, but distinct from innovation (the trying of new things), because it involves a rigorous comparison of results. For example, using a new website to communicate with Canadians can be an innovation; systematically testing the new website against existing outreach tools or an old website to see which one leads to more engagement, is experimentation.
full-time equivalent (équivalent temps plein)
A measure of the extent to which an employee represents a full person-year charge against a departmental budget. For a particular position, the full-time equivalent figure is the ratio of the number of hours the person actually works divided by the standard number of hours set out in the person's collective agreement.
gender-based analysis plus (GBA+) (analyse comparative entre les sexes plus [ACS+])
An analytical process used to assess how diverse groups of women, men and gender-diverse people experience policies, programs and services based on multiple factors including race, ethnicity, religion, age, and mental or physical disability.
government-wide priorities (priorités pangouvernementales)
For the purpose of the 2020–21 Departmental Results Report, those high-level themes outlining the government's agenda in the 2019 Speech from the Throne, namely, fighting climate change, strengthening the middle class, walking the road of reconciliation, keeping Canadians safe and healthy, and positioning Canada for success in an uncertain world.
horizontal initiative (initiative horizontale)
An initiative where two or more federal organizations are given funding to pursue a shared outcome, often linked to a government priority.
non-budgetary expenditures (dépenses non budgétaires)
Net outlays and receipts related to loans, investments and advances, which change the composition of the financial assets of the Government of Canada.
performance (rendement)
What an organization did with its resources to achieve its results, how well those results compare with what the organization intended to achieve, and how well lessons learned have been identified.
performance indicator (indicateur de rendement)
A qualitative or quantitative means of measuring an output or outcome, with the intention of gauging the performance of an organization, program, policy or initiative respecting expected results.
performance reporting (production de rapports sur le rendement)
The process of communicating evidence‑based performance information. Performance reporting supports decision making, accountability and transparency.
plan (plan)
The articulation of strategic choices, which provides information on how an organization intends to achieve its priorities and associated results. Generally, a plan will explain the logic behind the strategies chosen and tend to focus on actions that lead to the expected result.
planned spending (dépenses prévues)

For Departmental Plans and Departmental Results Reports, planned spending refers to those amounts presented in Main Estimates.

A department is expected to be aware of the authorities that it has sought and received. Determining planned spending is a departmental responsibility, and departments must be able to defend the expenditure and accrual numbers presented in their Departmental Plans and Departmental Results Reports.

program (programme)
Individual or groups of services, activities or combinations thereof that are managed together within the department and focus on a specific set of outputs, outcomes or service levels.
program inventory (répertoire des programmes)
Identifies all the department's programs and describes how resources are organized to contribute to the department's core responsibilities and results.
respendable revenues (revenus disponibles)
A type of revenue that, once received, increases the departmental spending authority. A department requires specific authority from Parliament to respend revenues. Respending authority is derived from the Financial Administration Act (FAA), subsection 29.1(1); the FAA and an Appropriation Act, subsection 29.1(2); legislation specific to a department (e.g., enabling and/or program); or other specific legislation.
result (résultat)
A consequence attributed, in part, to an organization, policy, program or initiative. Results are not within the control of a single organization, policy, program or initiative; instead they are within the area of the organization's influence.
statutory expenditures (dépenses législatives)
Expenditures that Parliament has approved through legislation other than appropriation acts. The legislation sets out the purpose of the expenditures and the terms and conditions under which they may be made.
synthetic data (données synthétiques)
Stochastically generated data with analytical value geared towards data protection and disclosure control
target (cible)
A measurable performance or success level that an organization, program or initiative plans to achieve within a specified period. Targets can be either quantitative or qualitative.
voted expenditures (dépenses votées)
Expenditures that Parliament approves annually through an appropriation act. The vote wording becomes the governing conditions under which these expenditures may be made.
web panel (panel en ligne)
Access panel of people willing to respond to web questionnaires.

Session 12 - Panel Discussion

Friday, November 5, 2021

Using data science to innovate and address emerging needs in official statistics

Abstract

Discussion on the following themes by three experts:.

  • Leveraging the power of data science to produce more timely and granular statistics and improve on existing methods to create new high-quality solutions for our data needs.
  • Striking the balance in using real-time, open, and unstructured data sources with advanced modeling techniques to partner with traditional methods and produce defendable user-centric results faster and at a lower cost

Panelists: Eric Deeben, Office of National Statistics, Data Science Campus, United Kingdom, Wendy Martinez, Bureau of Labor Statistics, USA and Danny Pfeffermann, Central Bureau of Statistics, Israel

Moderator: Eric Rancourt, Statistics Canada, Canada

Panelist biographies:

Eric Deeben

Eric Debeen

Eric Deeben is the Technical International Programme Lead and Synthetic Data & Privacy Preservation Techniques Squad Lead at the Data Science Campus of the Office for National Statistics of the UK.

As Technical International Programme Lead, Eric engages with other National Statistical Organisations (NSOs) and international bodies. This is in an effort to exchange new data science methods e.g. machine learning, and implement architecture principles with the objective to move from producing exploration statistics to official statistics.

Eric is a dynamic and highly skilled Solution Owner skilled in achieving business and customer objectives. An excellent communicator with international and multi-cultural work experience across Europe, the Americas and Africa. Eric has presented and lectured across the United Kingdom, Norway, Netherlands, Switzerland and United States. Eric is a notable Project Manager with global delivery experience and is an associate lecturer at Cardiff Metropolitan University Business School.

Eric will be sharing his experiences from his participation and leadership within the international Machine Learning field. He will outline some of the processes in play for managing the impactful implementation of machine learning at the NSO, and the importance of international collaboration.

Wendy Martinez

Wendy Martinez

Wendy Martinez has been serving as the Director of the Mathematical Statistics Research Center at the US Bureau of Labor Statistics (BLS) for eight years. Prior to this, she served in several research positions throughout the US Department of Defense. She held the position of Science and Technology Program Officer at the US Office of Naval Research, where she established a research portfolio comprised of academia and industry performers developing data science products for the future Navy and Marine Corps. Her areas of interest include computational statistics, exploratory data analysis, and text data mining. She is the lead author of three books on MATLAB and statistics. Dr. Martinez was elected as a Fellow of the American Statistical Association (ASA) in 2006 and is an elected member of the International Statistical Institute. She also had the honor of serving as the President of the American Statistical Association in 2020.

Danny Pfeffermann

Danny Pfeffermann

Danny Pfeffermann is the National Statistician and Director General of Israel's Central Bureau of Statistics (CBS). He is Professor Emeritus of Statistics at the Hebrew University of Jerusalem and Professor of Social Statistics at the University of Southampton. His main research areas are: Analytic inference from complex sample surveys; Seasonal adjustment and trend estimation; Small area estimation; Inference under informative sampling and nonresponse and more recently; Mode effects and Proxy surveys. Professor Pfeffermann published about 80 articles in leading statistical journals and co-edited the two-volume handbook on Sample Surveys. He is Fellow of the American Statistical Association (ASA), the International Statistical Institute (ISI) and the Institute of Mathematical Statistics (IMS) and recipient of several international awards.

From the Chief Statistician

Chief Statistician Anil Arora

Thank you for your support

Statistics Canada would like to thank Canadians and businesses and the interviewing staff, and recognize their support. The information provided was converted into statistics used by Canadians, businesses and policy makers to make informed decisions about employment, education, health care, market development and more.

Never has the role of data—and data-driven insights—been more important in supporting Canadians in their time of need than during the COVID-19 pandemic. When the first wave hit in March 2020, data immediately went from being a nice-to-have asset to a critical decision-support tool. Virtually overnight, Statistics Canada employees pivoted to the new reality by rapidly adapting operations to better serve Canadians. This report outlines how Statistics Canada has responded to the nation's urgent demands for data over the course of a rapidly evolving public health emergency.

In particular, the agency has delivered results for Canadians on the following priorities for 2020–21:

  • Provide frontline pandemic response: Over the past year, Statistics Canada helped the provinces and territories track and limit the spread of COVID-19. By March 31, 2021, Statistics Canada's specially trained interviewers had made the equivalent of 1.2 million 15-minute calls for contact tracing, conducting everything from daily health check-ins with Canadians to in-depth case investigations, while still juggling their ongoing survey collection duties. Statistics Canada data have also been used by public health officials to manage the nation's supply of personal protective equipment, identify COVID-19 hotspots that require enhanced public health response and plan the rollout of COVID-19 vaccines.
  • Prepare for the 2021 Census of Population and Census of Agriculture: In the months leading up to the May 2021 launch of Statistics Canada's flagship statistical program, the Census of Population and Census of Agriculture, the agency prepared to implement a virtually contact-free operation. Against the backdrop of a pandemic, Statistics Canada employees adapted to public health measures such as physical distancing during the collection of census data so that respondents and enumerators alike could participate safely, securely and remotely. The data collected for this census will capture the sheer scale of the social and economic impacts that Canadians continue to face as a result of COVID-19.
  • Collaborate and engage with Canadians: To meet the urgent data needs of Canadians during a pandemic, Statistics Canada developed an ever-increasing number of partnerships so that data could be collected, analyzed and integrated in agile and innovative ways, beyond the traditional survey-first approach. Over the past year alone, the agency has collaborated with all orders of government, civil society groups and the private sector to provide data-driven insights that have helped shape the pandemic response and continued to determine the trajectory of the nation's recovery.
  • Enhance coverage of emerging issues: In the early days of the pandemic, Statistics Canada partnered with the Canadian Chamber of Commerce, Canada's largest business group, to examine the impact of the nationwide economic shutdown on firms across the country. The results of this survey were vital in providing the Government of Canada with the information it needed to design and implement emergency income-support programs that met the urgent needs of the moment. Statistics Canada staff also disaggregated large datasets to better identify the impact of the pandemic on vulnerable populations. Those data revealed a stark and inconvenient truth: COVID-19 has not affected all Canadians equally. The social disparities Statistics Canada uncovered will guide and shape public policy decisions for years to come.
  • Seek out alternative data sources: Canadians often wonder why they are asked to provide the same data multiple times to Statistics Canada. Over the past year, against the backdrop of a rapidly evolving pandemic, agency employees have found innovative ways to reduce the number of survey questions that Canadians are asked to respond to, while respecting public health measures such as physical distancing. Employees have found new ways to work safely, securely and remotely to integrate more administrative data—information already held by other organizations—into the agency's data holdings. And through data collection methods, such as crowdsourcing surveys launched in April 2020, after the first wave hit, Canadians told Statistics Canada about how COVID-19 was having a negative impact on their mental health. Meanwhile, throughout the pandemic, agency staff have tracked price fluctuations for the monthly measure of inflation, without stepping into a single store. They have measured employment trends without interviewing anyone on their doorstep. And Statistics Canada now releases monthly flash estimates of high-frequency economic indicators such as gross domestic product.

The agency is continuously sharing information about what it does and how it goes about providing high-quality statistics. Statistics Canada's commitment to privacy and transparency continues to be strengthened through the Proportionality and Necessity Framework and the Trust Centre. I invite Canadians to see how Statistics Canada uses their data responsibly to provide the fact base they need to make informed decisions.

The need for timely and accurate data has never been greater in revealing whether Canada is on the right track as the nation, and its economy and society, gradually recovers from the pandemic.

I invite you to learn more through this report and the article "COVID-19 in Canada: A One-year Update on Social and Economic Impacts" to learn how Statistics Canada delivered better data to drive better outcomes for the people of Canada during COVID-19.

Anil Arora
Chief Statistician of Canada

From the Minister

The Honourable François-Philippe Champagne, P.C., M.P.

The Honourable François-Philippe Champagne,
Minister of Innovation, Science and Industry

It is our pleasure to present the 2020–21 Departmental Results Report for Statistics Canada.

In a year that was characterized by uncertainty and rapidly shifting priorities as a result of the global COVID-19 pandemic, Innovation, Science and Economic Development Canada (ISED) and its Portfolio partners remained committed in their continued efforts to meet the evolving needs of Canadians and the Canadian economy. The ISED and Portfolio Departmental Results Reports describe a number of immediate and remarkable contributions over the past year, including those that were part of Canada's COVID-19 Economic Response Plan.

To meet the urgent data needs of Canadians, Statistics Canada worked to establish key partnerships to develop innovative approaches to data collection, analysis and integration beyond its traditional survey-first approach. Over the course of 2020–21, the agency collaborated with all levels of government, civil society groups and the private sector to provide data-driven insights that have informed the pandemic response and continue to shape the country's recovery.

In 2020–21, Statistics Canada played an important role in informing the government's pandemic response by disaggregating large datasets, revealing that COVID-19 has not affected all Canadians in the same ways. These insights will continue to inform policy decisions for years to come.

Statistics Canada quickly adapted to ensure that the 2021 Census of Population could be conducted during a pandemic safely, securely and remotely. The data collected will be crucial to policy and decision makers, as Canadians continue to deal with the impacts of the COVID-19 pandemic.

Through all these initiatives and more, we continued to deliver on our commitment to foster a dynamic and growing economy that creates jobs, opportunities and a better quality of life for all Canadians, including those from diverse backgrounds, such as women, Indigenous peoples, racialized Canadians, persons with disabilities and LGBTQ+ groups.

We invite you to read this report to learn more about how Statistics Canada, like ISED and other Portfolio partners, is building a strong culture of innovation to position Canada as a leader in the global economy.

Introduction to the National Occupational Classification (NOC) 2021 Version 1.0

Preface

The publication of the National Occupational Classification (NOC) 2021 is the thirtieth anniversary of the standard occupational classification system and it introduces a major structural change. The NOC 2021 Version 1.0 overhauls the "Skill Level" structure by introducing a new categorization representing the degree of Training, Education, Experience and Responsibilities (TEER) required for an occupation. The NOC 2021 Version 1.0 also introduces a new 5-digit hierarchical structure, compared to a 4-digit hierarchical structure in the previous versions of the classification. This revision is extensive; the last structural revision was NOC 2011.

Acknowledgements

The National Occupational Classification (NOC) 2021 is published, in partnership by Employment and Social Development Canada (ESDC) and Statistics Canada (StatCan). The NOC 2021 Version 1.0 has been made possible through the significant contributions of a number of individuals and groups, including a team of occupational research analysts and assistants from both ESDC and StatCan. Their commitment to excellence is evident in this new version of the NOC's foundational system used for structuring and describing occupations in the Canadian labour market and for managing the collection, analysis and reporting of occupational statistics. The partnership and collaboration between ESDC and StatCan has ensured that quantitative and qualitative information on occupations continues to be reliable, timely and relevant for a wide range of audiences.

Introduction

Purpose of the classification

The National Occupational Classification (NOC) Canada is a classification of occupations designed primarily for use in statistical programs. It is also used for employment-related program administration and to compile, analyze and communicate information about occupations, such as labour market information. Occupational information is of critical importance for the provision of labour market and career intelligence, occupational forecasting, labour supply and demand analysis, employment equity, job training and skills development, and numerous other programs and services. It provides a standardized framework for organizing the world of work, for pay or profit, in a manageable, understandable and coherent system.

Statistical classifications are comprehensive structured lists of mutually exclusive categories or classification itemsFootnote 1. In practice, this means that there is always a category in the classification for an object that falls within the scope of the classification, and that the object can be classified in only one category. The section titled "The underlying concepts" further discusses the object and scope of NOC.

The structure of the NOC is hierarchical. This type of classification system enables the collection, analysis and publication of data at different levels of detail, in a standardized way. The section titled "The classification structure and coding system" discusses the structure of the NOC in greater detail.

The purpose of standard classifications is to support the integration of data obtained from multiple sources by organizing the documentation, collection, processing, presentation and analysis of data in a systematic manner. Classifications are essential elements of a coherent and efficient statistical system.

The NOC has been developed to support the integration of occupational statistics. The next section provides a background on the NOC, the potential impact of the redesign and a sense of the different applications of the classification.

Background

The NOC was jointly developed by Employment and Social Development Canada (ESDC) and Statistics Canada (StatCan), and has been maintained in partnership since the first edition published in 1991/1992. Prior to 2011, ESDC NOC and StatCan NOC-S differed in their major group structures and, consequently, in their coding systems. However, the revised NOC 2011 eliminated the differences between the two former systems.

As the Canadian economy and society changes, it is common practice for classifications to be updated and revised as new industries, products, occupations and educational programs are introduced. NOC structural revisions are planned every 10 years and content was updated every 5 years to respond to labour market changes. Starting in 2017, the NOC 2016 has undergone content updates approximately every year to ensure users have the most up-to-date information. This publication of the National Occupational Classification (NOC) 2021 represents a major structural revision of the NOC based on its 10-year revision cycle.

Revising the NOC

The NOC 2016 structure and format are based on a four-tiered hierarchical arrangement of occupational groups with successive levels of disaggregation. It contains broad occupational categories, major, minor and unit groups. It is categorized based on two major attributes of jobs, the "Broad Occupational Category" and the "Skill Level", as classification criteria. The former was defined as the type of work performed, with respect to the educational discipline or field of study for entry into an occupation and the industry of employment (e.g. health occupations or sales and service occupations). The "Skill Level" categorization is primarily defined by the amount and type of education and training usually required to enter and perform the duties of an occupation, but also considers experience, complexity and responsibilities. See NOC 2016 Structure below.

NOC 2016 StructureFootnote 2

Meaning embedded in the coding system - first digit
Broad Occupational Category or the skill type criteria is… when the first digit is…
Management occupations 0
Business, finance and administration occupations 1
Natural and applied sciences and related occupations 2
Health occupations 3
Occupations in education, law and social, community and government services 4
Occupations in art, culture, recreation and sport 5
Sales and service occupations 6
Trades, transport and equipment operators and related occupations 7
Natural resources, agriculture and related production occupations 8
Occupations in manufacturing and utilities 9
Meaning embedded in the coding system - second digit
Skill Level category or the skill level criteria is… when the second digit is…
Skill Level A 0 or 1
Skill Level B 2 or 3
Skill Level C 4 or 5
Skill Level D 6 or 7

The NOC 2021 Version 1.0 was developed through ongoing discussions between ESDC and StatCan as well as consultations with stakeholders. During consultations leading toward the NOC 2021 revision, it was suggested to add a new "Level" to the NOC 2016 Skill level categorization, to clarify the distinction in formal training or education required among unit groups, especially in the current "Skill Level B", which has a wide range of formal training or educational requirements. Over time due to the changing world of work, the NOC 2016 "Skill Level B" became a disproportionately large group and thereby limited the ability to analyze distinctions amongst a large percentage of occupations.

Another observation during the revision process was the use of the "Skill Level" categorization in the NOC as possibly being misleading because training and education, which are the main building blocks of the NOC's "Skill Level" categorization, are not considered as "skills" in the labour market. With regards to skills, many countries and organizations are currently developing their own skills taxonomy (which include concepts such as numeracy and literacy). Therefore, it was deemed appropriate for the NOC to move away from the "Skill Level" categorization.

The NOC 2021 Version 1.0 represents a major structural revision whereby the existing occupational groups are reviewed alongside input collected from many relevant stakeholders through consultation. The main accomplishment of the NOC 2021 Version 1.0 was the overhaul of the "skill level" categorization by introducing a new categorization representing the degree of Training, Education, Experience and Responsibilities (TEER) required for an occupation.

The redesign of the NOC for 2021 moves away from the previous version of NOC with four "Skill Level" categories to an innovative six-grouping "TEER" categorization. This change is necessary for several reasons. First, the focus of the NOC is occupations and not skills and the "Skill Level" terminology is often misleading for many stakeholders. This change will reduce confusion. Second, some NOC users artificially create or infer a low- versus high-skill categorization. This redesign moves away from high/low skill categorization as the TEER more accurately captures differences in occupational requirements, which in turn will aid in the analysis of occupations.

The section titled "The classification structure and coding system" discusses the structure of the NOC 2021 Version 1.0 in greater detail.

These changes significantly improve how the NOC classification takes into account the distinctions in formal training and educational requirements and better reflects skill and knowledge development occurring through on-the-job experience. At the same time, it increases the homogeneity of the distribution of unit groups within the classification, and addresses concerns about the "Skill Level" categorization and the distribution of unit groups among them.

The transition from the "Skill Level" to the "TEER" categorization makes the distribution of occupations across the "TEER categories" more balanced. The change in the distribution of unit groups is summarized in the tables below.

Distribution of NOC Unit Groups by Skill Level / TEER

Distribution of NOC Unit Groups by Skill Level / TEER
NOC 2016 V1.3 Distribution of Unit Groups by Skill Level NOC 2021 V1.0 Distribution of Unit Groups by TEER
    TEER Category 0 9%
Skill Level A 28% TEER Category 1 19%
Skill Level B 42% TEER Category 2 31%
Skill Level C 24% TEER Category 3 13%
Skill Level D 6% TEER Category 4 18%
    TEER Category 5 9%

The NOC is the nationally accepted taxonomy and organizational framework of occupations in the Canadian labour market. It is important to note that the redesign of the NOC can have significant implications for several Surveys, such as the Labour Force Survey (LFS), and ESDC programs such as the Temporary Foreign Worker Program and Employment Insurance program. This change may have significant impact on various programs throughout other federal departments, as well as provincial, territorial and municipal governments and many users of the NOC.

The NOC 2021 Version 1.0, as of August 10th, 2021, is now the departmental standard for data collection and dissemination for occupations at Statistics Canada. Implementation dates for each new classification version such as NOC 2021 Version 1.0 will vary based on when statistical surveys or programs, entities, organizations or individuals decide to use it.

The underlying concepts

Statistical classifications are built around three basic concepts: the object classified or statistical unit, the scope or universe of the classification, and the criteria used to group statistical units in standard categories or classification items.

The statistical unit

The basic principle of the NOC is the kind of work performed. The statistical unit or object being classified using the NOC is the concept of a "job". A job encompasses all the tasks carried out by a particular person to complete their duties. A job title represents the name given to a job or a position. The term job is used in reference to employment or in self-employment.

An occupation is defined as a collection of jobs, sufficiently similar or identical in work or tasks performed to be grouped under a common label for classification purposes.

The scope of the classification

The scope of the NOC is all occupations and jobs in the Canadian labour market undertaken for pay or profit, including people who are self-employed.

The NOC is not designed to include work or tasks not undertaken for pay or profit, for example, voluntary work. However, a person may complete work not for pay or profit where the tasks completed may be described within some occupational groups.

The classification criteria

The classification criteria refers to the attribute(s) of the statistical unit used to create the most detailed categories of the classification and to group them into analytical aggregates. These attributes must be observable and verifiable in the context of a statistical operation, or it must be possible to derive the information as a set of observed characteristics.

The NOC is built through the application of two major attributes of jobs as classification criteria: broad occupational categories and TEER categories. There are ten broad occupational categories and six TEER categories.

  • The ten broad occupational categories are defined by the type of work performed based on the industry of employment and field of study required for entry into an occupation. Within the broad occupational categories factors such as the materials processed or used, the industrial processes and the equipment used, as well as the products made and services provided, have also been considered when combining jobs into occupations and occupations into groups.
  • The six TEER categories stand for the Training, Education, Experience and Responsibilities required for occupations. A TEER category is defined by the amount and type of training and education required to enter and perform the duties of an occupation. It also takes into consideration the experience required and the complexity of responsibilities involved in the work. Each TEER category reflects commonly accepted paths to employment in an occupation.

The next section "The classification structure and coding system" provides more detail on how these two criteria together create the classification structure.

The Classification structure and coding system

The NOC contains a standard classification structure and standard variants of that structure. The standard structure is intended for broad use, whereas each variant is designed to meet a specific user need. The NOC provides a systematic classification structure that categorizes the entire range of occupational activity in Canada. Its' detailed occupations are identified and grouped primarily according to the work performed, as determined by the training, education, tasks, experiences, duties and responsibilities for an occupation.

The Standard NOC 2021 Version 1.0 classification structure

The standard classification structure uses a five-tiered hierarchical arrangement of occupational groups with successive levels of disaggregation and contains broad, major, sub-major, minor and unit groupings. The structure of the NOC 2021 Version 1.0 is based on two key occupational categorizations: Occupational categories and TEER categories, which are identified in the first two digits of the 5-digit code, as shown in the table below.

Standard NOC 2021 Version 1.0 classification structure
Title of Hierarchy Format Digit Represents:
Broad Category X First Digit – X Occupational categorization
Major Group XX Second Digit xX TEER categorization
Sub-major Group XXX xxX Top level of the Sub-Major Group
Minor Group XXXX xxXX Hierarchy within the Sub-Major Group
Unit Group XXXXX xxXXX Hierarchy within the Minor Group

Note: As the first digit identifies the Occupation and the second digit identifies the TEER, they are also referred to as the Major Group.

The hierarchical approach of the NOC ensures collection, dissemination and analysis of data at different levels of detail, in a standardized way. Each number or digit at each hierarchical level has a distinct meaning. Each hierarchical level of the classification is described below, from the most detailed to the most aggregated level.

Nomenclature and number of categories within each level of NOC 2021 Version 1.0

Nomenclature and number of categories within each level of NOC 2021 Version 1.0
Level Coding Number of categories
Broad Category 1-digit and first digit of all codes 10
TEER Second-digit of all codes 6
Major Group 2-digit representing the broad category code and the TEER code 45
Sub-major Group 3-digit 89
Minor Group 4-digit 162
Unit Group 5-digit 516

Broad categories
The Broad Category (first digit) of the classification represents the occupational categorization which is defined by the type of work performed, the field of study, or the industry of employment. There are 10 Broad categories in NOC 2021 Version 1.0.

TEER categories
The TEER Category (second digit) of the classification represents the necessary training, education, experience and responsibilities of the occupation. There are 6 TEER categories in NOC 2021 Version 1.0.

Major groups
The Major Group (first and second digits) of the classification is represented by the Broad occupational categorization (first digit) and TEER categorization (second digit) together. A major group also encompasses several sub-major groups and thus represents the two-digit code used by the NOC. There are 45 major groups in NOC 2021 Version 1.0.

Sub-major groups
The Sub-major Group (3-digit) of the classification represents the aggregation of several minor groups and thus represents the three-digit code used by the NOC. There are 89 sub-major groups in NOC 2021 Version 1.0.

Minor groups
The Minor Group (4-digit) of the classification represents the domain in which an occupation is carried out (occupational domain). It is an aggregation of several unit groups and thus represents the four-digit code used by the NOC. There are 162 minor groups in NOC 2021 Version 1.0.

Unit Groups
The Unit Group (5-digit) of the classification is the most detailed level of the classification and represents one or several occupations combined together within the NOC. There are 516 units groups in NOC 2021 Version 1.0.

Example of coding in NOC 2021 Version 1.0: Judges, lawyers and Quebec notaries

Example of coding in NOC 2021 Version 1.0: Judges, lawyers and Quebec notaries
Level NOC 2021 V1.0 Code NOC 2021 V1.0 Title
Broad occupational group 4 Occupations in education, law and social, community and government services
Major group 41 Professional occupations in law, education, social, community and government services
Sub-minor group 411 Professional occupations in law
Minor group 4110 Judges, lawyers and Quebec notaries
Unit Group 41100 Judges
Unit Group 41101 Lawyers and Quebec notaries

The Coding system of the NOC 2021 Version 1.0

As identified in the "Classification Criteria" the NOC 2021 Version 1.0 is built through the application of two major attributes of jobs as classification criteria: ten broad occupational categories (BOC) and six TEER categories.

NOC 2021 Version 1.0 Broad Occupational Categories

Broad Occupational Categories are defined as the type of work performed based on, notably, the field of study required for entry into an occupation and the industry of employment. The ten BOCs are classified from 0 to 9.

NOC 2021 Version 1.0 Broad Occupational Categories
NOC 2021 V1.0 Broad Category - Occupation when the first digit is…
BOC 0 - Legislative and senior management occupations
This broad category comprises legislators and senior management occupations.
0
BOC 1 - Business, finance and administration occupations
This broad category comprises specialized middle management occupations in administrative services, financial and business services and communication (except broadcasting), as well as professional occupations in financial and business; administrative and financial supervisors and specialized administrative occupations; administrative occupations and transportation logistics occupations; and office and administrative support and supply chain logistics occupations.
1
BOC 2 - Natural and applied sciences and related occupations
This broad category comprises occupations in natural sciences (including basic and applied sciences and experimental development), engineering, architecture and information technology. These occupations cover specialized middle management occupations in engineering, architecture, science and information systems; professional occupations in natural sciences (basic and applied sciences and experimental development); and technical occupations related to natural sciences (including basic and applied sciences and experimental development).
2
BOC 3 - Health occupations
This broad category comprises specialized middle management occupations in health care, as well as occupations concerned with providing health care services directly to patients (professional and technical occupations in health) and occupations that provide support to health services.
3
BOC 4 - Occupations in education, law and social, community and government services
This broad category comprises managers in public administration, in education and social and community services and in public protection services, as well as occupations concerned with teaching, law, counselling, conducting social science research, developing government policy, and administering government and other programs, and related support occupations.
4
BOC 5 - Occupations in art, culture, recreation and sport
This broad category comprises specialized middle management occupations in art, culture, recreation and sport, as well as professional, technical, support and other occupations concerned with art and culture (including the performing arts, film and video, broadcasting, journalism, writing, creative design, libraries and museums), recreation and sports.
5
BOC 6 - Sales and service occupations
This broad category comprises middle management occupations in wholesale and retail trade, and customer services, as well as occupations concerned with wholesale and retail sales, and customer, personal and support service occupations related to a wide range of trade and service industries, such as accommodation and food services, travel, tourism and cleaning services.
6
BOC 7 - Trades, transport and equipment operators and related occupations
This broad category comprises middle management occupations in trades, transportation and equipment, as well as occupations such as technical trades and transportation officers and controllers; general trades; mail and message distribution, other transport equipment operators and related maintenance workers; and helpers and labourers and other transport drivers, operators and labourers.
7
BOC 8 - Natural resources, agriculture and related production occupations
This broad category comprises middle management occupations in natural resources, agriculture and related production, as well as occupations concerned with supervision and equipment operation in the natural resource-based sectors of mining, oil and gas production, forestry and logging, agriculture, horticulture and fishing. Harvesting, landscaping and natural resources labourers are also included. Most occupations in this category are industry specific and do not occur outside of the primary resources industries.
8
BOC 9 - Occupations in manufacturing and utilities
This broad category comprises middle management occupations in manufacturing and utilities, as well as occupations concerned with supervisory, production and labouring in manufacturing, processing and utilities.
9

The NOC 2021 Version 1.0 TEER Categories

The "TEER" categorization defines the requirements of the occupation by considering the type of training, education and experience required for entry, as well as the complexities and responsibilities typical of an occupation. In general, the greater the range and complexity of occupational tasks, the greater the amount of formal education and training, previous experience, on-the-job training, and in some instance's responsibility, required to competently perform the set of tasks for that occupation.

NOC 2021 Version 1.0 TEER Categories
The NOC 2021 V1.0 Training, Education, Experience and Responsibility (TEER) when the second digit is…
Management - TEER 0
Completion of a university degree (bachelor's, master's or doctorate);
or
Previous experience and expertise in subject matter knowledge from a related occupation found in TEER 2 (when applicable).
1
Completion of a post-secondary education program of two to three years at community college, institute of technology or CÉGEP;
or
Completion of an apprenticeship training program of two to five years;
or
Occupations with supervisory or significant safety (e.g. police officers and firefighters) responsibilities;
or
Several years of experience in a related occupation from TEER 3 (when applicable).
2
Completion of a post-secondary education program of less than two years at community college, institute of technology or CÉGEP;
or
Completion of an apprenticeship training program of less than two years;
or
More than six months of on-the-job training, training courses or specific work experience with some secondary school education;
or
Several years of experience in a related occupation from TEER 4 (when applicable).
3
Completion of secondary school;
or
Several weeks of on-the-job training with some secondary school education; or
Experience in a related occupation from TEER 5 (when applicable).
4
Short work demonstration and no formal educational requirements. 5

The NOC 2021 Version 1.0 conventions

This section outlines the conventions adopted in order to assist users in consistently assigning NOC 2021 Version 1.0 codes and titles.

The "Other" title

When a unit group ends with a "9", it is used to classify occupations in an appropriate "other" occupation when a grouping does not account for all the workers in a group, even though such workers may perform distinct sets of work activities. These occupational groups are identified in their title by ''Other'' appearing at the beginning of the title. "Other" titles exist at the sub-group, minor group or unit group level, for example, Sub-major group 729 – Other technical trades; Minor group 2139 – Other engineers; and Unit group 32209 - Other practitioners of natural healing.

Language

The NOC is available separately in both official languages. It is important to note that the French version includes only titles commonly used in French and proper to the milieu and, therefore, these are not normally translations of the English titles. The classification structure is the same in both languages.

Unit group labels, example titles, inclusions and exclusions are presented in a gender-neutral format or identified by the masculine and feminine titles separated by a slash.

Modifying terms for example titles

Modifying terms have been added to several job titles, as extensions, to designate the industrial sector or the domain of expertise. If applicable, this information is preceded by a dash at the end of the title (cashier supervisor - retail) to distinguish between similar titles. These modifying terms may also specify where the titles appear in the classification structure (painter - visual arts; painter - motor vehicle repair). This information should be considered when coding job titles.

Proprietors

As a general rule, the class of worker status, that is, whether the respondent works for wages or is self-employed, is not considered for classification purposes.

An exception is made for proprietors in retail trade, food and accommodation services, and residential home building. These are classified as managers to the following unit groups:

  • 60020 - Retail and wholesale trade managers
  • 60030 - Restaurant and food service managers
  • 60031 - Accommodation service managers
  • 70011 - Home building and renovation managers

Supervisors

Supervisors are generally classified with the workers supervised and as a result would not have a separate unit group. But there are exceptions to this convention, for example, unit groups 31300 - Nursing coordinators and supervisors and 62010 – Retail sales supervisors.

Supervisors in the following occupational categories have been classified in supervisor unit groups separate from the workers supervised:

  • administrative services occupations
  • nursing occupations
  • sales and service occupations
  • trades and transport and equipment operators
  • occupations in natural resources and agriculture
  • occupations in manufacturing.

Even when separate supervisory unit groups exist, "lead hands" are not classified as such, as previous research has indicated that supervision is usually only a minor part of such jobs.

Inspectors, testers, and graders

Generally, inspectors with TEER 2 requirements have been classified in separate unit groups or with technicians and technologists, with matching requirements. Other non-technical inspectors, testers, graders and samplers have been included either in separate unit groups covering occupations in processing industries or in unit groups of assemblers and fabricators in manufacturing industries. This is reflective of patterns of employment found within industries and the increasing responsibility for quality control that is placed on manufacturing production workers.

Apprentices and trainees

Apprentices and trainees have been classified in the same unit groups as the occupations for which they are training. Similarly, interns, residents and articling students are classified with their respective professional groups.

This convention has been adopted to prevent a proliferation of unit groups of apprentices. It is not intended to imply equivalence or interchangeability of apprentices or trainees with fully qualified workers.

Format of unit group descriptions

Each NOC unit group description consists of several standardized sections which define and describe its content.

Lead statement

This section provides a general description of the content and boundaries of the unit group and indicates the main activities of occupations within the unit group. It also indicates the kinds of industries or establishments in which the occupations are found. The list of places of employment is not always exhaustive, but can assist in clarifying the occupations described and in differentiating them from occupations found in other groups.

Illustrative examplesFootnote 3 / Example titlesFootnote 4

This section is a list of titles commonly used in the labour market. The titles are intended to illustrate the contents and range of the occupational group. This is not an exhaustive list of job titles.

Inclusions

This section provides a list of borderline job titles belonging to a particular NOC unit group. Inclusions are examples in classes where it might not be clear from reading both the class text and title that the example belongs in the class.

Exclusions

This section clarifies the boundaries of the unit group by identifying related unit groups and similar occupations that are classified elsewhere. Unit groups or individual occupations are cited in this section when they bear a functional similarity to the unit group or when similar titles occur.

Main duties

The main duties section describes the most significant duties of the occupations in the group. They are not intended to be comprehensive of all the tasks performed in the occupation. They represent key duties that are related to the occupation(s) associated with the unit group and can be listed using:

  • a series of statements that can be applied to all occupations in the group;
  • two or more sub-sets of occupations with statements that apply to each sub-set or component;
  • a series of brief statements that are linked to specific occupations, that, while similar enough to be in the same group, can be described separately.

Statements in italics, at the end of this section, identify a specialization that may exist within the occupation.

Employment requirements

This section describes the employment requirements for the unit group. Several types of requirements are identified in this section and are listed in the following order.

  • Type and level of education: for example, secondary school, college diploma, university degree and including specific subject matter if relevant, starting with the lowest possible requirement for entry into the occupation.
  • Specific training: for example, apprenticeship training, on-the-job training, training courses specific to an occupation.
  • Experience in another occupation: for example, supervisors usually require several years of experience in the occupation that they supervise.
  • Licences, certificates or registration: for example, regulatory requirements to practice in a regulated profession, special licenses to operate certain kinds of vehicles.
  • Other requirements: for example, athletic ability or artistic talent.

Some occupations have very definite employment requirements while for others, there is no consensus or a range of acceptable requirements exist. The following terminology is used to indicate the level of the requirement:

  • "... is required" - to indicate a definite requirement;
  • "... is usually required" - to indicate something that is usually required by the majority of employers, but not always required by all employers; and
  • "... may be required" - to indicate something that may be required by some employers, but on a less frequent basis.

Employment requirements items to note:

  • Some occupations are designated as regulated professions and trades. Regulations are subject to change and may vary across jurisdictions. The most reliable information on regulatory requirements for occupations is found on the websites of provincial regulatory organizations and licensing authorities.
  • For reasons of brevity, the term college includes: community colleges, CÉGEPS, technical institutes, trade schools and agricultural colleges. Where relevant, in some provinces, it may also include private training organizations, music conservatories and other non-degree granting institutions.
  • The Employment requirements section does not attempt to describe personal suitability requirements that are assessed by employers as part of the hiring process.

Additional information

This section appears in some unit group descriptions. It provides information on the following:

  • progression to other occupations (such as supervisory or management positions) based on transferability of skills from acquired occupational experience;
  • mobility patterns, such as inter- and intra-occupational transferability of skills (for example, identifying occupations that are part of internal lines of progression or specializations within a subject matter area);
  • trends and forthcoming changes in the unit group's employment requirements; and other information to clarify and define the unit group.

Coding guidelines to NOC 2021 Version 1.0

The NOC is designed to classify occupational information in the Canadian labour market in a standardized framework and a manageable, understandable and coherent system. Statistics Canada's role is to provide occupational information for statistical surveys and data analysis.

When conducting a search to determine what code is best associated with a job title or occupation it is important to note:

  • Even though the NOC contains more than 30,000 job titles in each of Canada's official languages the list is not meant to be exhaustive. The list of examples does provide extensive coverage of commonly used and understood titles in the economy and of more specific titles found in many occupational areas.
  • Occupations are identified and grouped primarily by:
    • the type of work performed based on, notably, the field of study required for entry into an occupation and the industry of employment, and;
    • considering the type of training, education and experience required for entry, as well as the complexities and responsibilities.

Both of which are determined by the main duties, tasks and responsibilities of the occupation and are key when trying to determine the best code for a job title. Consideration of these factors has proven to be effective in helping to narrow the search for a desired NOC code.

Selecting a NOC code

  1. To find a NOC code associated with a job title start by using the search function and enter an occupational title or keywords related to the occupation. Searching the NOC will generate a list of possible occupations. If the initial search does not yield a matching occupational profile, sound practice is to broaden or narrow the search by using different related keywords.
  2. In order to research how closely a NOC unit group code matches a given occupation, the details of the NOC profile in question are to be reviewed, such as the main duties and employment requirements to assess which one most accurately represents the occupation in question. Other information within the NOC profile should also be assessed such as example titles, additional information, and exclusions.
  3. If the NOC unit group associated with the job title or occupation in question using the title job search is not found, the NOC structure can be used to narrow down the research. Apply knowledge of which sector of activity the occupation in question is associated to, e.g. health, natural sciences, trades, or transportation. That will limit the search to NOC unit groups found under one "broad occupational category", which is represented by the first digit of the NOC code. Reduction of the scope based on the TEER requirements of the job or occupation can be beneficial. These requirements correspond to the second digit of the NOC code. Please note these may differ from personal educational levels.
  4. Once the broad occupational category and the TEER associated with the job have been identified, a short list of relevant NOC sub-major groups (represented by the first three digits of the NOC code) and NOC minor groups (represented by the first four digits of the NOC code) will be available.
  5. A review of the list of all the NOC unit groups found under the relevant NOC minor groups is required, prior to accessing the occupational description of each unit groups to find where the occupation has been classified.
  6. To code an occupation, it is possible to use either the search tool or the classification structure.

Related Classifications

The classification of occupations does not stand alone but must be understood as being related to other classifications, such as the North American Industry Classification System (NAICS) and that of Class of Worker. Each of these classifications supplements the NOC 2021 Version 1.0 in presenting a rounded picture of the nature of a person's job.

North American Industry Classification System (NAICS)

The industrial qualifier which may accompany the job title:

  1. Indicates the type of economic activity with which the job is usually associated. (It is important to note that the assignment of an industrial qualifier does not necessarily limit a job to that industry. These qualifiers are merely indicative of the possible areas of activity in which the job may be found.)
  2. Permits the assignment of similar titles to different occupation groups where the duties vary between industries.
  3. Aids in defining the specific occupations and helps the coder grasp the underlying principles of this classification.

The industry in which the individual is employed is determined by the kind of economic activity of the establishment. The establishment is usually a factory, mine, farm, store, other place of business or an institution for which a number of basic production variables can be compiled.

It is important to note the conceptual differences between an industry classification and an occupation classification. An establishment can employ individuals performing completely different occupations, and these are classified to appropriate occupational groups, but the industrial classification of each individual employed in the establishment should be the same and is determined by the nature of the production process of the establishment. In other words, the nature of the factory, business or service in which the person is employed does not determine the classification of the occupation, except to the extent that it enables the nature of the duties to be more clearly defined, but it does determine the classification of the establishment by industry.

Class of worker

Class of worker refers to an individual's employment relationship to the business in which they work, as employee or self-employed, including unpaid family workers, and thus provides another means of describing the work. The NOC 2021 Version 1.0 does not indicate the class of worker classification for each occupation since many occupations contain both jobs held by employees and jobs of self-employed individuals. The scope of what is an occupation has been outlined in the section "The underlying concepts".

Relationship between NOC and ISCO-08

The NOC is comparable to the International Standard Classification of Occupations (ISCO) published by the International Labour Organization (ILO). While the NOC was originally developed in Canada in the 1980s, ISCO was also being reviewed and updated to produce ISCO-88. Communication between the NOC and ISCO research teams led to similarities, such as a similar conceptual framework that includes the Skill Type and Skill Level dimensions. The similarities between the NOC and ISCO increased in later structural revision (ISCO-08 and NOC 2011) cycles. However, certain conceptual differences between the NOC 2021 Version 1.0 and ISCO-08 limit comparability. For instance, differences in the classification criteria and classification structure exist between NOC 2021 Version 1.0 and ISCO-08. Additionally, subsistence occupations included in ISCO are not part of the NOC. For countries and regions in which subsistence activities are virtually non-existent, the ILO affirms that such activities may be excluded without loss of international comparability.

The concordance between NOC 2011 and ISCO 2008 can be used for purposes of showing the relationship between NOC 2016 and ISCO 2008 since the structure is the same in both NOC 2011 and NOC 2016. A correspondence table is available between NOC 2016 V1.3 and NOC 2021 V1.0; a correspondence table between NOC 2021 V1.0 and ISCO-08 will be developed and published.

Summary of changes from NOC 2016 Version 1.3 to NOC 2021 Version 1.0

Changes occurred at all levels of the NOC structure. Some items were revised while others were added, split, transferred or merged. A complete list of all changes detailed at the unit group level (the most detailed level of the NOC structure) is released as a separate correspondence file and is available at NOC 2016 V1.3 - NOC 2021 V1.0.

Higher level structural changes

The following are some examples of higher level structural changes:

In the 2016 version of the NOC, "BOC 0 – Management" included all unit groups dedicated to managerial occupations. Under the 2021 NOC, management is identified in the employment requirements, via the TEER system, rather than as a "field of study and/or industry". The BOC 0 now only contains legislators and senior management occupations. Middle management occupations previously in BOC 0 have been redistributed into the remaining 9 BOCs based on the industry of employment. For example: 0211 - Engineering managers (NOC 2016 V1.3) has been moved to BOC 2 – Natural and applied sciences and related occupations, to unit group 20010 – Engineering managers (NOC 2021 V1.0).

Another example of a higher level structural change is NOC 2016 Version 1.3 minor group 227 - Transportation officers and controllers (and associated unit groups) was moved from BOC 2 - Natural and applied sciences and related occupations to BOC 7 - Trades, transport and equipment operators and related occupations as NOC 2021 Version 1.0 minor group 7260 - Transportation officers and controllers (and associated unit groups). This move better aligns the minor occupation group with the industry of employment.

As it is done for all standard statistical classifications, we provide a more detailed analysis of the changes at the lowest of the classification, which is the unit group level for the NOC.

Changes at the unit group level

The unit group level (5-digit) is the most detailed level of the NOC and it is used for the analysis of the changes in a more detailed manner. Some items were revised while others were added, split, transferred or merged. The Generic Statistical Information Model (GSIM) is used to identify the types of changes made to the classification: real changes and virtual changes. Real changes are those affecting the scope of the existing classification items or categories, whether or not accompanied by changes in the title, definition and/or the coding. Virtual changes are those made in coding, titles and/or definitions, while the meaning or scope of the classification item remains the same. The "real changes" are the most important ones for analysis.

Here are some examples of real changes at the unit group level:

Creation and deletion of new classification items

Creations occur when a new item emerges and is not part of any one or more existing item(s). A deletion, the mirror opposite of creation, occurs when an item expires and no part of it proceeds as part of one or more existing item(s). No new classification items (unit groups) were created to the NOC 2021 Version 1.0, and no NOC 2016 V1.3 classification items were deleted according to the deletion and creation definitions found in GSIM.

Combination of classification items

Combinations consist of mergers and take-overs among classification items. There were 9 mergers and 3 take-overs of NOC 2016 Version 1.3 unit groups. Essentially, unit groups were combined into an emerging unit group (merger) or an existing unit group (take-over) with the intent to re-arrange the classification of occupational groupings to reflect the current and emerging labour market.

Merger examples

Merger examples
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
9222 Supervisors, electronics manufacturing Merger 92021 Supervisors, electronics and electrical products manufacturing 9222 and 9223 expired and all parts of both merged into emerging item 92021.
9223 Supervisors, electrical products manufacturing Merger
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
9432 Pulp mill machine operators Merger 94121 Pulp mill, papermaking and finishing machine operators 9432 and 9433 expired and all parts of both merged into emerging item 94121.
9433 Papermaking and finishing machine operators Merger

Take-over examples

Take-over examples
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
7247 Cable television service and maintenance technicians Take-over 72204 Telecommunications line and cable installers and repairers 7247 expired and part proceeds between 72204 and 72205.
Take-over 72205 Telecommunications equipment installation and cable television service technicians
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
9531 Boat assemblers and inspectors Take-over 94219 Other products assemblers, finishers and inspectors 9531 expired and all proceeds taken over as part of 94219.

Decomposition of classification items

21 classification items are a result of either a breakdown or a split-off: 10 breakdown and 11 split-offs. Unit groups either expired and were distributed over emerging items (breakdown) or partially continued with part assigned (split-off) to emerging unit group with the intent to better align occupational grouping based on the TEER classification criteria and reflect the current and emerging labour market. Below are examples of decomposition changes related to the addition of more detailed classification items.

Breakdown examples

Breakdown examples
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
2263 Inspectors in public and environmental health and occupational health and safety Breakdown 21120 Public and environmental health and safety professionals 2263 expired and the denotations distributed among emerging items 21120 and 22232
Breakdown 22232 Occupational health and safety specialists

Split-off examples

Split-off examples
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
0431 Commissioned police officers Split-off 40040 Commissioned police officers and related occupations in public protection services 0431 continues as 40040 and part split-off to emerging item 41310.
Split-off 41310 Police investigators and other investigative occupations
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
1511 Mail, postal and related workers Split-off 64401 Postal services representatives 1511 continues as 74100 and part split off to emerging item 64401
Split-off 74100 Mail and parcel sorters and related occupations
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
2171 Information systems analysts and consultants Split-off 21211 Data scientists 2171 continues as 21222 and part split-off to emerging items 21211, 21220, 21221 and 21233.
Split-off 21220 Cybersecurity specialists
Split-off 21221 Business systems specialists
Split-off 21222 Information systems specialists
Split-off 21233 Web designers
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
2172 Database analysts and data administrators Split-off 21211 Data scientists 2172 continues as 21223 and part split-off to emerging item 21211.
Split-off 21223 Database analysts and data administrators
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
2173 Software engineers and designers Split-off 21211 Data scientists 2173 continues as 21231 and part split off to emerging item 21211.
Split-off 21231 Software engineers and designers

There were 9 decomposition instances where part of a unit group continued and part split-off to an emerging unit group and part transferred to an existing unit group. Below is an example of this.

Split off/Transfer Example

Split off/Transfer Example
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
3124 Allied primary health practitioners Split-off 31302 Nurse practitioners 3124 continues as 31303 and part transferred to 32103 and part split off to emerging item 31302.
Split-off / Transfer 31303 Physician assistants, midwives and allied health professionals
Transfer 32103 Respiratory therapists, clinical perfusionists and cardiopulmonary technologists

Transfer of classification items or their parts

There were 36 instances where part of a unit group continued and part of it was transferred to one or more existing unit groups with the intent to better align with the TEER classification criteria and in some cases better realign occupational groupings.

Transfer examples

Transfer examples
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
1253 Records management technicians Transfer 12111 Health information management occupations 1253 continues as 12112 and part transferred to 12111.
Transfer 12112 Records management technicians
 
NOC 2016 V1.3 Code(s) REAL CHANGE GSIM NAME NOC 2021 V1.0 Code(s) Description of Change
1525 Dispatchers Transfer 13201 Production and transportation logistics coordinators 1525 continues as 14404 and part transferred to 13201.
Transfer 14404 Dispatchers

Virtual Changes

Essentially, all items of the classification were affected by virtual changes. For example, all unit groups with 1 to 1 links were still affected by code changes as a result of the TEER system. At the most detailed level of the classification (unit groups) more than 470 unit groups were modified where changes were made to titles and definitions. For example, some titles were modified to better describe the occupational groupings based on content revisions. These types of changes are important for clarification and making necessary updates or corrections.

Finally, all changes made (real or virtual) can potentially have an impact on the content of the classification file, which at the most detailed level contains leading statements, illustrative and example job titles, exclusions, inclusions, main duties, employment requirements and additional information. More than 3500 content items have been either added, deleted or edited and more than 1000 job titles have been added, deleted or edited in this NOC 2021 Version 1.0. These two components of the classification support coding of occupations and fosters fluidity when reading or using the classification.

Net Changes in the NOC 2021 Version 1.0 relative to the NOC 2016 Version 1.3

Net Changes in the NOC 2021 Version 1.0 relative to the NOC 2016 Version 1.3
Level NOC 2021 V1.0 NOC 2016 V1.3 Net Changes
Broad Category 10 10 0
Major Group 45 40 +5
Sub-major Group 89Table Note 1 N\A +89
Minor Group 162 140 +22
Unit Group 516Table Note 2 500 +16

Table Notes

Footnote 1

New to the NOC structure in 2021.

Return to table note 1 referrer

Footnote 2

22 unit groups were eliminated and 38 new unit groups were added, resulting in a net difference of 16.

Return to table note 2 referrer

More information on the NOC 2021 Version 1.0

For questions related to the National Occupational Classification, please send an email to: statcan.csds-standards-occupations-cnsd-normes-professions.statcan@statcan.gc.ca.

For information on the National Occupational Classification (NOC) and its use for programs and services such as, immigrating to Canada, labour market information, job searches and working in Canada, please contact Employment and Social Development Canada (ESDC).