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Gender-based analysis plus

General information

Governance structures

Within Employment and Social Development Canada (ESDC), Assistant Deputy Ministers in individual branches, who report to the Deputy Minister, are accountable for supporting the application of Gender Based Analysis Plus (GBA+) within their area of responsibility.

ESDC also has a GBA+ Centre of Expertise that has led GBA+ within the Department for a number of years. The Centre of Expertise is responsible for:

The GBA+ Centre of Expertise ensures that all relevant pillars, focus areas and indicators from the Gender Results Framework are included in program and policy development, as well as budgetary and financial management processes where relevant.

ESDC’s GBA+ Centre of Expertise monitors the extent to which GBA+ is embedded throughout Memoranda to Cabinet, Treasury Board Submissions and budget proposals through internal assessments. Centre of Expertise activities are monitored and reported to senior executives through regular updates to ESDC’S Portfolio Management Board, composed of all Deputy Ministers and Assistant Deputy Ministers , and to the Strategic Policy Committee, composed of Assistant Deputy Ministers.

The department also has 2 GBA+ co-champions: an Assistant Deputy Minister as well as a Director General. They provide leadership in the promotion and implementation of GBA+ in the development of effective policies, programs, services and legislation.

ESDC also provides reports to the Department of Women and Gender Equality (WAGE) through the yearly GBA+ Implementation survey.

Human resources

The Centre of Expertise has increased its capacity to 4 full-time equivalents (FTEs) who are dedicated to the implementation of GBA+ within the department. This allows the Centre of Expertise to better respond to evolving operational needs.

In addition to the Centre of Expertise , each branch has analysts who perform GBA+ in their policy, program and service proposals, implementation and other points in the life cycle of an initiative. In addition, a number of branches have dedicated resources with specific accountability for supporting GBA+.

Major initiatives: results achieved

Address barriers to GBA+

Strengthen GBA+ capacity across the organization

Monitor and report GBA+ results

Reporting capacity and data

Social Development Partnerships Program (1998)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Social Development Partnerships Program (SDPP) collects data from grants and contribution funded organizations.

The following sociodemographic variables are collected by the program since 2017:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

SDPP has undertaken trend analysis of the proportion of the subpopulations served by age and gender of beneficiaries.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

New Horizons for Seniors Program (2004)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The New Horizons for Seniors Program (NHSP) collects data from grants and contributions funded organizations.

The following sociodemographic variables are collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

NHSP has undertaken trend analysis of the proportion of the subpopulations served by age and gender of beneficiaries, as well as age and gender of volunteers.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Enabling Accessibility Fund (2007)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Enabling Accessibility Fund Program collects qualitative data from the final activity reports of grant funding recipients (not-for-profit organizations, for profit organizations, municipalities, Indigenous organizations and territorial governments).

The following sociodemographic variables are collected by the program (where provided):

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Program trend analysis

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Social Development Partnerships Program – Disability Component (1998)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

In 2017, the renewed Social Development Partnerships Program – Disability Component (SDPP-D) included a national operating funding stream. It introduced a Performance and Accountability Framework (PAF) to guide future operating funding decisions for national not-for-profit disability organizations.

Since April 2019, 28 national disability organizations receiving funding under the PAF for the next 3 years are required, as per their agreements, to collect qualitative and quantitative data on sociodemographic variables.

In the process of being collected for 2019 to 2022 projects funded under the renewed SDPP-D national operating funding stream: gender-based analysis will be conducted by the recipients to identify the needs of diverse groups among persons with disabilities (in other words intersecting identity factors, gender identity/ gender expression).

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Program trend analysis

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Canada Disability Savings Program (2008)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Canada Disability Savings Program (CDSP) collects data for the administration of the Canada Disability Savings Grant and Bond and prescribed information for the administration of section 146.4 and Part XI of the Income Tax Act.

The following socio-demographic variables have been collected by the program since 2008:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

CDSP has undertaken trend analysis using socio-demographic data elements.

The following are examples:

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Reaching Home: Canada’s Homelessness Strategy (1999)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Homelessness Policy Directorate (HPD) collects information on recipients of projects funded by Reaching Home. These data include client demographic information that helps ESDC understand how HPS-funded projects are addressing homelessness in communities and the specific populations that benefit from these projects.

The following sociodemographic variables are currently collected by the program since 2007:

Second, the program collects the following sociodemographic variables about individuals and families using emergency shelters across Canada:

Finally, Reaching Home collects information on homeless individuals through the nationally coordinated Point-in-Time (PiT) counts, which are biennial surveys of people experiencing homelessness in participating communities since 2016:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Analysis of program results data

The directorate has used GBA+ data collected to conduct program performance measurement, program evaluation, and to inform program policy development for the creation of Reaching Home. This information was used to determine vulnerable populations to be targeted by the new program (for example women, Indigenous Peoples, veterans, and LGBTQ2 individuals). Additionally, the data is used to identify trends and gaps, and to demonstrate community progress toward addressing homelessness.

In May 2018, an evaluation of the program was completed and published. Evaluators used available GBA+ data to measure the program’s ability to meet the needs of vulnerable populations. The evaluation included recommendations for the program to better meet the needs of vulnerable homeless individuals and families.

A wider array of demographic variables is being collected under the current mandate of the program (beginning in 2019) to better inform future policy development. With these data, ESDC will be able to perform trend analysis of the targeted subpopulations including gender, disability status, age (for example, youth, adults and seniors) and Indigenous Peoples over a period of 9 years.

In May 2018 an evaluation of the program was completed and published. Evaluators used available GBA+ data to measure the program’s ability to meet the needs of vulnerable populations. The evaluation included recommendations for the program to better meet the needs of vulnerable homeless individuals and families.

A wider array of demographic variables is being collected under the current mandate of the program (beginning in 2019) to better inform future policy development. With these data, ESDC will be able to perform trend analysis of the targeted subpopulations including gender, disability status, age (for example, youth, adults and seniors) and Indigenous Peoples over a period of 9 years.

Analysis of shelter data

The directorate has undertaken demographic analyses of subpopulations of shelter users by gender, age, Indigenous identity, veteran status, and citizenship. Demographic information has been used to determine representation among shelter users and to compare shelter use patterns, such as the typical number of days spent in shelter between demographic groups.

Trend analysis has been conducted on subpopulations of shelter users with respect to the proportions and patterns of shelter use for various groups of shelter users over time.

Analysis of point-in-time count data

The data gathered from the PiT surveys allows the directorate to conduct analyses of subpopulations of homeless individuals by gender, age, Indigenous identity, sexual identity, veteran status, citizenship and income sources. The information from the surveys has been used to study stay patterns among homeless individuals at different locations, such as those who are sheltered, unsheltered or staying in transitional housing.

Trend analyses can be undertaken using the data from the survey with respect to the changes in chronic homelessness in different regions and changes in the number of homeless individuals in sheltered and unsheltered locations.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Apprenticeship Grants (2007)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Apprenticeship Grant program collects equity data on grant applicants. The submission of the data is optional for applicants to complete. The following sociodemographic variables are collected by the program on a voluntary basis since 2017:

The Apprenticeship Grant program collects gender identity data on applicants for Apprenticeship Incentive Grant for Women. The following sociodemographic variable is collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Above aggregate administrative data, in addition to Registered Apprenticeship Information System (RAIS) data, are used for policy analysis, research and program evaluation purposes. For example, administrative data was used to support the introduction of the Apprenticeship Incentive Grant for Women pilot project since analysis showed that women were highly underrepresented in several Red Seal Trades. Review of the 5-year pilot will be undertaken to determine its impact and will be shared with the Secretary of the Treasury Board Secretariat by the end of 2022.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

An evaluation of the Apprenticeship Grants program was finalized in June 2019 to be publicly released in November 2019. A prior evaluation of the Apprentice Grants program was finalized and made available publicly in 2014.

Canadian Benefit for Parents of Young Victims of Crime (2018)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Canadian Benefit for Parents of Young Victims of Crime (PYVC) collects the following sociodemographic variables since 2018:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The PYVC does not conduct trend analysis; information is only collected for correspondence purposes and to establish eligibility.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

The PYVC does not publicly release reports on sociodemographic variables.

Wage Earner Protection Program (2008)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Wage Earner Protection Program (WEPP) collects only one sociodemographic variable, which is geography.

The information has been collected since inception of the program (2008).

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The WEPP does not conduct trend analysis; information is only collected for correspondence purposes.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Workplace Equity (1986)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The legislated Employment Equity program collects data with regard to individuals that self-identify within federally regulated private-sector organizations as belonging to one of the 4 designated groups defined by the Employment Equity Act — women, Aboriginal peoples, persons with disabilities, and members of visible minorities. The variables collected under the act are as follows: sex, designated group membership, salary range, occupational group, hire, promotion and termination data, employer location, and number of employees.

Data collected since 1986:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Since 1987, the Labour Program has conducted an annual analysis of the representation rates for the 4 designated groups using aggregate data sets, as a measure of employer's progress in achieving employment equity within the federally-regulated private sector.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Employment Equity Act: Annual Report (published annually since 1987)

Canada Education Savings Program (1998)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

The Canada Education Savings Program (CESP) collects data with regard to who receives the education savings incentives, namely the Canada Education Savings Grant (CESG) and Canada Learning Bond (CLB). The following sociodemographic variables are collected by the Program:

Indication of how long each individual variable has been collected.

This information has been collected since 1998 for CESG beneficiaries, and since 2005 for CLB beneficiaries.

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The CESP has conducted internal analysis based on administrative data to assess if there are gender differences in terms of access to the education savings incentives, amount of savings and RESP withdrawals. This analysis was done for the period from 2011 to 2017. The CESP has also collected evidence from other sources (for example, survey data, qualitative research) on specific aspects of the experiences of multiple groups with regards to registered Education Savings Plans and the associated education savings incentives. It has also analyzed various demographic, socio‑cultural and identity factors (for example, income, Indigenous status, ethnicity, immigrant status, disability, region and geographic location) to inform ongoing program policy development.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Canada Student Loans Program (1964)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

The Canada Student Loans Program (CSLP) aims to make post-secondary education more affordable for students from low- and middle-income families and ensures that student debt loads are manageable through the provision of needs-based Canada Student Loans, non-repayable Canada Student Grants, and the Repayment Assistance Plan.

The CSLP collects data on who receives loans and grants as well as uptake of available programs, including the Repayment Assistance Plan and Canada Student Loan Forgiveness for Doctors and Nurses.

Indication of how long each individual variable has been collected.

The following sociodemographic variables are collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The following are some examples of analyses undertaken using both publically available data and internal administrative data:

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

The CSLP publishes an Annual Statistical Review that details the usage of Canada Student Grants and Loans by gender, age, field of study, level of study, types of education institutions. The CSLP also publishes an Annual Report which provides information and data on grants, loans, repayment assistance, and other program benefits.

The following reports are published by the CSLP, dating back to 2014.

Social Insurance Number (1964)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Social Insurance Number (SIN) program collects data related to the application for a SIN. The following sociodemographic variables are collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Any analysis undertaken by the SIN program has been to ensure the accuracy and integrity of the data contained in the SIR.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Women in Construction Fund (2018)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected..

The WCF collects data with regard to the individuals who participated in projects led by funding recipients. This is a 3-year program; the following sociodemographic variables will not be available until the program is scheduled to sunset in fiscal year 2020 to 2021:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

For example, the WCF could undertake an analysis on the number of participants who are women and have achieved certification to determine if the program helps support the progression of women in apprenticeship training.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Canada Apprenticeship Grants (2007)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Canada Apprenticeship Grants program collects data on who receives non-repayable grants.

The following GBA+ data is collected on a voluntary basis since 2007:

The following mandatory sociodemographic variables are collected since 2007:

The following sociodemographic variable, with the introduction of the Apprenticeship Incentive Grant for Women is collected since December 2018:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Statistics Canada links data from the following datasets: Registered Apprentices Information Systems (RAIS), Canada Apprentice Loans, Apprenticeship Grants and Employment Insurance in order to build an Education and Labour Market Longitudinal Platform.

A recent analysis of program and RAIS data showed women were highly underrepresented in 51 out of 56 Red Seal trades (women represented around 5% of apprentices in these 51 trades in 2017) which led to the introduction of the Apprenticeship Incentive Grants for Women pilot project. Review of the 5-year pilot will be undertaken to determine its impact.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Skilled Trades Awareness and Readiness Program (2018)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Skilled Trade Awareness and Readiness (STAR) program collects data with regard to the individuals who participated in projects led by funding recipients. The STAR program’s data set contains the following sociodemographic variables to be collected starting in fiscal year 2020 to 2021 by the program, which may or may not be populated:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

For example, the STAR program could undertake an analysis of the number of participants who are from key groups (for example youth, women, and Indigenous people) and intend to pursue apprenticeship training to determine if the program helps encourage key groups to prepare for a career in the skilled trades.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Union Training and Innovation Program (2017)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The UTIP collects data with regard to the individuals who participated in projects led by funding recipients since 2017. The UTIP data set contains the following sociodemographic variables, which may or may not be populated:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

For example, the UTIP could undertake an analysis on the number of participants who are from key groups (for example women, persons with a disability, Indigenous people, newcomers to Canada) and have achieved certification to determine if the program helps support the participation of key groups in apprenticeship.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Workforce Development Agreements (2018)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The WDAs collect data about individuals who participate in provincial/territorial employment programs and services funded through agreements. The WDAs are a new program as of 2018 and, due to the phased implementation of performance reporting requirements, socio-demographic data will start to become available in fiscal year 2019 to 2020 and will be consistent across provinces and territories by fiscal year 2020 to 2021. The following sociodemographic variables are collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The department has not conducted any GBA+ analyses for the WDAs to date because the data for these types of analyses is not available yet.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Employment Insurance (Part I) (1940)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The following sociodemographic variables are collected by the EI (Part I) program:

Please note:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Examples of analyses include EI claims and benefits information by age and gender, which are aggregated at a regional and a national level for trend analysis and reporting in the annual EI Monitoring and Assessment Report. Similar analysis by other sociodemographic variables can also be conducted to support the development of policy options within the EI Program.

The EI program uses mainly EI administrative data, Statistics Canada survey data and Canada Revenue Agency tax data to inform, monitor, and assess the program, and produce cost benefit analyses to support evidence-based policy making, including to increase or improve the accessibility of EI to Canadians.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

The following publicly released reports include some relevant GBA+ findings:

  1. Annual EI Monitoring and Assessment Report
  2. Recent evaluation reports:
    • Special Benefits for the Self-Employed (2016)
    • EI Benefits for Parents of Critically Ill Children (2019)
  3. EI Coverage Survey by Statistics Canada
  4. Monthly EI Statistics by Statistics Canada

Literacy and Essential Skills (2006)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The Literacy and Essential Skills program tests, replicates and scales up effective and innovative training models to help Canadians better prepare for, get and keep a job, and adapt and succeed at work. The program does not offer direct service delivery to clients and therefore, the collection of sociodemographic variables is not typically required.

In fiscal year 2018 to 2019, the Office of Literacy and Essential Skills (OLES) requested that funding recipients report on the demographic profile of their participants (for example Indigenous peoples, gender ratio, and employment status); however, reporting is not consistent given that this is the first time recipients were asked to provide this reporting. OLES will analyze the data it has collected from a GBA+ perspective and will determine next steps accordingly.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

N/A

Labour Market Development Agreements (1996)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Labour Market Development Agreements (LMDAs) collect data about individuals who participate in provincial/territorial employment programs and services funded through agreements. The following sociodemographic variables are collected by the program:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The department reports on rates of participation in different types of interventions for women, persons with disabilities, Indigenous peoples, visible minorities and youth through the Employment Insurance Monitoring and Assessment Report (EI MAR).

Currently, the collection of sociodemographic data is based on voluntary self-declaration, which impacts the reliability of existing data. While answers will still be based on self-declaration, the new performance measurement strategy for the LMDAs will require clients to answer questions about demographic characteristics with the option of not disclosing this information. The collection of better demographic data means that evaluations of the LMDAs will be able to look at medium-term impacts to clients' employment status, earnings and income support usage from an intersectional perspective. Due to the phased implementation of the strategy, this data will start to become available in fiscal year 2019 to 2020 and will be consistent across PTs by fiscal year 2020 to 2021.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Chapter 3 of the EI MAR

Opportunities Fund for Persons with Disabilities (1997)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Opportunities Fund for Persons with Disabilities collects data with regard to participants (persons with disabilities) in the program who are receiving support in overcoming barriers to participation in the labour market. The following sociodemographic variables are collected by the program:

This information has been collected since 1997. Note that this information is provided by the participants through the OF Participant Information Form, and that the persons with disabilities may respond “Decline to Answer” (with the exception of “disability status” for which a “yes / no” response is required, in addition to a “type of disability” follow-up question).

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The Opportunities Fund collects sociodemographic information to inform research, evaluation, demographic, or statistical analysis for the purpose of monitoring the design and delivery of the program.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Temporary Foreign Worker Program (1966)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Temporary Foreign Worker (TFW) program collects the following sociodemographic data for the administration of Global Talent Stream (GTS) applications only. The GTS collects data on 2 groups: Employers in Canada (clients/users of the GTS) and Temporary Foreign Worker candidates.

For Employers in Canada, the following sociodemographic variables are collected by the program:

For Temporary Foreign Workers, the following sociodemographic variables are collected by the program:

Note: Immigration, Refugees and Citizenship Canada may also collect certain sociodemographic information regarding foreign workers during the administration of Work Permit applications, following the Labour Market Impact Assessment process administered by ESDC for employers.

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The following analysis was undertaken to support program design of the GTS:

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Indigenous Skills and Employment Training program (2019)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

Data on program participants (Indigenous people) to the ISET program, that replaces the Aboriginal Skills and Employment Training Strategy (ASETS) as of April 1, 2019, will be available starting in the Fall 2019. Data for the predecessor program (ASETS) go back to 2010. Information has been and will be collected on a number of socio-demographic characteristics:

No data quality assessment has been undertaken for the ISET program. However, it is anticipated that the quality will be similar to that for ASETS, which exhibited sufficient quality for a GBA+ analysis.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Skills and Partnership Fund (2010)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

Data on program participants (Indigenous people) for the Skills and Partnership Fund are available going back to 2012. Information has been collected on a number of socio-demographic characteristics:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The data for most of these variables is of sufficient quality to allow for a GBA+ analysis of program participants.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not available.

Student Work Placement (2017)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

The Student Work Placement (SWP) program collects data on under-represented students, including women in science, technology, engineering, mathematics (STEM), Indigenous Peoples, persons with disabilities, newcomers, as well as first-year students. The following variables are collected by the SWP program:

Since the launch of the program in April 2017, the SWP program has been collecting data on these variables for participating post-secondary students. The SWP program is reaching a larger than expected number of under-represented students with 47.0% of students participating in the SWP program being from under-represented groups. As of June 30, 2019, work placements have been created for women in STEM (38.3%), Indigenous peoples (2.4%), persons with disabilities (1.8%), recent immigrants (4.4%), as well as first year students (18.2%).

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

The SWP program has fed into various reports where GBA+ data has been included, including the Departmental Results Report for fiscal year 2018 to 2019.

Youth Employment Strategy (YES) - Career Focus, Skills Link and Summer Work Experience (1997)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Youth Employment Strategy’s 3 streams, Career Focus , Skills Link, and SWE collect the following sociodemographic variables for each stream of the program:

This information has been collected since 1997. Note that this information is provided by the youth through the YES Participant Information Form, and that the youth may respond “Decline to Answer.”

The Youth Employment Strategy collects sociodemographic information to inform research, evaluation, demographic, or statistical analysis for the purpose of monitoring the design and delivery of the program.

Note that a modernized Youth Employment and Skills Strategy has replaced the previous Youth Employment Strategy. The previous streams offered by the YES, which were merged together to create a more integrated and flexible service delivery network, are Skills Link, Career Focus, and Summer Work Experience (excluding Canada Summer Jobs).

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

GBA+ analysis formed a key component of the policy development stage of the modernization of the Youth Employment Strategy.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Youth Employment Strategy (YES) - Canada Summer Jobs (2007)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Canada Summer Jobs program collects data with regard to youth who are employed through wage subsidies provided to employers. The following sociodemographic variables are collected by the program:

This information has been collected since 2007. Note that this information is provided by the youth through the Employer-Employee Declaration (EED), and the youth may respond “Decline to Answer” (with the exception of “Highest level of education completed”). Note as well that prior to CSJ 2019, only 20% of EEDs were entered into the Common System for Grants and Contributions.

The same data points are collected through a non-mandatory survey of CSJ youth participants (conducted for CSJ from 2015 to 2019).

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

CSJ collects sociodemographic information to inform research, evaluation, demographic, or statistical analysis for the purpose of monitoring the design and delivery of the program.

Note that a modernized Youth Employment and Skills Strategy has replaced the previous Youth Employment Strategy. The previous streams offered by the YES, which were merged together to create a more integrated and flexible service delivery network, are Skills Link, Career Focus, and Summer Work Experience (excluding Canada Summer Jobs).

GBA+ analysis formed a key component of the policy development stage of the modernization of the Youth Employment Strategy.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

Not applicable.

Future Skills (2018)

Sociodemographic variables collected (for example gender, sex, race, ethnicity, religion, age, disability, geography, income, education, indigenous status, etc.).

Indication of how long each individual variable has been collected.

The Future Skills Centre, publicly launched in February 2019, will collect information on sex and gender for individuals who participate in projects that test innovative approaches to skills assessment and development, via an intake form. With participant consent, the following socio-economic variables will be collected by the Centre:

Examples of analysis/analyses you have undertaken, or that could be undertaken, using these variables.

As the Centre has only recently launched, no formal analyses are available. All output and outcome indicators will be disaggregated using a GBA+ lens in order to determine what skill development approaches work for whom, and under what conditions. With participant consent, client data will be shared with the department for research and evaluation purposes (for which a privacy and information security review should be conducted), and the Centre is exploring data linkage opportunities with Statistics Canada.

Publicly released reports (dating back to 2014) where the individual program microdata is aggregated and provides GBA+. Include reports published by the organization that collected the information and any known reports.

The Centre is mandated to widely disseminate the research and innovation results using mixed media; however, given that the Centre is still in early implementation no results are yet available.

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