Approved microdata linkages: 2025 submissions

Purpose: The main objective of the Corrections Population Mortality Dataset is to provide academic researchers and government policy analysts additional narrative around individuals who experience mortality after correctional involvement. Using data from the Canadian Coroner and Medical Examiner Database (CCMED), the Canadian Correctional Services Survey (CCSS) and the Canadian Vital Statistics database (CVSD), we will be able to understand additional information around these unnatural deaths and the circumstances surrounding them. This includes deaths due to accidents, intentional self-harm, unintentional drug overdoses, and homicide. This study will attempt to address the existing significant data gaps around this highly vulnerable population.

Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. The analytical file, without personal identifiers, will be made available via Statistics Canada’s Secure Access Points and access will only be granted to Statistics Canada deemed employees following the standard Statistics Canada approval process.

Purpose: The goal of the project is to examine trends in the labour productivity of businesses supported through Investissement Québec’s Initiative Productivité Innovation program. Since Investissement Québec do not collect information on the labour productivity of businesses, they will provide the list of businesses they support to Statistics Canada, who will link the businesses to the Business Register and subsequently to the National Accounts Longitudinal Microdata File. The latter database contains businesses’ financial characteristics, which make it possible to calculate measures of productivity.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in the form of tables including trends in productivity of businesses by year and industry, in current and constant dollars, from 2015 to the most recent year available.

Purpose: The objective of this project is to examine the extent to which group differences in socioeconomic opportunities and circumstances can explain group differences in contacts with the criminal justice system. In particular, this project will focus on groups that are overrepresented in the criminal justice system. 

Output: The analytical files and linking keys, without identifiers, will be made available via Statistics Canada’ Research Data Centres. Access will only be granted to Statistics Canada deemed employees following the standard approval process. Linked analytical files and anonymized linking keys may also be used by Statistics Canada to produce non-confidential aggregate statistical tables and analytical reports, such as reports for Statistics Canada’s flagship justice and public safety publication, Juristat. 

Purpose: Our Health Counts (OHC) projects are conducted in partnership by Indigenous health scholars and local Indigenous health service providers and have produced estimates of the number of First Nations, Inuit and Métis people living in several urban areas, including London, Kenora, Ottawa, Thunder Bay and Toronto. These population estimates are higher than the corresponding 2016 Census counts from May 10, 2016. This collaborative project between OHC and Statistics Canada will explore these differences with the aim of improving the enumeration of First Nations, Métis and Inuit peoples living in urban and related homelands.  

The project will involve a linkage between OHC data for First Nations, Métis and Inuit people living in Thunder Bay and Kenora, and Statistics Canada data holdings including the 2016 Census of Population, and the Derived Record Depository (Social Data Linkage Environment). All aspects of the project, including determining relevant data holdings to link to the OHC data, appropriate analysis methods, and dissemination of findings will be determined collaboratively. The OHC data will be provided by Anishnawbe Mushkiki (OHC Thunder Bay) and Waasegiizhig Nanaandawe’iyewigamig (OHC Kenora), who are the legal custodians of these OHC datasets. Survey respondents were asked if they consent to have their data linked to Census data. Only those who consented will be linked.  Both the linked datasets and the original OHC data will be destroyed by Statistics Canada upon project completion.  

Output: The output will include the proportion of OHC respondents who were linked to the 2016 Census and other datasets, as well as a description of the demographic characteristics (i.e., age, gender and geography) of those who were not successfully linked.  Census enumeration status will also be compared to self-reported Census completion information in the OHC study. Only aggregate estimates that have been vetted for disclosure control will be disseminated.

Purpose: The goal of this project is to provide a profile of the Life Sciences industry to Health Canada so that it can understand the industry’s economic environment and assess potential impacts arising from the implementation of new regulations. Health Canada will provide a list of names of businesses that they have identified as being part of the subsector medical devices in Life Science Industries, which will be linked to the Business Register and subsequently to the National Accounts Longitudinal Microdata File. The latter database will be used to produce aggregate statistics on revenue and employment.  

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in a dashboard, showing aggregate statistics of employment and revenue for the industry. This dashboard will be provided to Health Canada and will only be accessible to approved members of the OLRM.

Purpose: The federal Intensive Rehabilitative Custody and Supervision (IRCS) Program is a contribution program with all provinces and territories for the delivery of specialized therapeutic programs and services for youth with mental health needs who are convicted of a serious violent offence. The IRCS program is an important component of correctional supervision of youth in Canada. The main objective of this project is to allow linkage opportunities to identify criminal justice system re-contacts and other outcomes for the IRCS population. Summarized information describing outcomes of youth after participating in IRCS programs, and where appropriate, contrasting with outcomes for non-participant cohorts, has been a critical data gap in terms of evaluating the success of IRCS programs for many years. Working with participating youth corrections programs and Justice Canada, Statistics Canada aims to address this gap in its statistical program on youth corrections by integrating IRCS data with other social data to understand the impacts of the IRCS program. Justice partners and stakeholders as well as the Canadian public will benefit from the results compiled as the information contributes to the creation of evidence-based policy and program development, and thereby contributes to the public interest. These data will help fill the need to inform evidence-driven approaches to crime prevention and programs aimed at reducing recidivism, as well as programs designed for rehabilitation, community integration, and public safety.

Output: Statistics Canada will perform record linkage of these data under established governance and privacy framework, to develop analytical datasets to determine social outcomes of youth after participating in IRCS programs. Results, interpretation, and conclusions from the analysis using the linked data will be with respect to the linked participants and not generalized to the total IRCS population. A report on statistical aggregates will be made available to Justice Canada employees involved in the IRCS project. Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. 

Purpose: The purpose of the project is to improve understanding of Canadians' oral health, risk factors, and insurance coverage, aiming to inform policy development and monitor oral health trends over time. It supports the Canadian Dental Care Plan (CDCP) launched by Health Canada in December 2023, by providing essential data to enhance dental care services across Canada. The findings will aid in the CDCP's effective rollout and evaluation, ensuring equitable access to dental care and addressing regional and socio-economic disparities, ultimately benefiting the public good.

Output: The analytical files, without identifiers, will be made available via secure Statistics Canada access points such as the Federal Research Data Centre (FDRC) and research data centre network (RDC).  Access will only be granted to Statistics Canada employees (including Statistics Canada deemed employees) whose work activities require access following the standard approval process.  

Purpose: The purpose of this linkage project is to produce person-level information instead of dwelling-level information to be used for person-level social survey sampling purposes. This use of microdata linkage provides better-quality, detailed information for small communities and populations, saves time and money, and ensures that person-level social surveys remain accurate, relevant, and cost-efficient.

Output: The data from these linkages are integrated to produce sampling frames for social surveys. None of the statistical information resulting from the linkages will be disseminated.

Purpose: The goal of this project is to link the 2017 APS-NIS data to the LWF analytical platform. This supplement included a large supplementary sample of Inuit in Nunavut as well as an additional set of questions designed to learn more about availability, interest, and level of preparedness of Inuit enrolled under the Nunavut Agreement for government employment. This newly linked data will help inform policy and programming activities related to the Nunavut Inuit Labour Force Analysis (NILFA).

Output: Statistics Canada will produce customized data products and analytical findings using the linked datasets related to the Nunavut Inuit labour market.

Purpose: The purpose of the project is to link participant data from the Supports for Student Learning Program (SSLP) data with files that are part of the Education and Labour Market Longitudinal Platform (ELMLP).

The SSLP is a Grants and Contributions program, administered by Employment and Social Development Canada (ESDC).  The program aims to bridge gaps in educational achievement, build competencies and create education opportunities for equity-deserving youth in Canada. The SSLP funds a variety of youth-serving organizations to deliver programming that provides supplemental supports (financial and non-financial) needed to empower students to gain in-demand skills and to increase school completion rates. The SSLP currently funds 12 organizations, who serve roughly 55,000 students nationwide. 

In partnership with Statistics Canada, ESDC wishes to leverage the data available through the ELMLP to study the educational outcomes of youth who have participated in SSLP-funded programs, including graduation from high school, transition to postsecondary education, and long-term labour market outcomes.  

Output: Anonymized linkage keys will be produced and placed in the Research Data Centres for exclusive access by researchers designated by ESDC and/or the participating organizations.  These anonymized linkage keys will allow researchers to merge records with those found in ELMLP data files to study the educational and labour market outcomes of SSLP program participants and evaluate the impact of the program.  Statistics Canada may also prepare data tables or reports at the request of ESDC.  In all cases, only non-confidential aggregate statistics and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The main objective of this project is to produce custom tabulations for Agriculture and Agri-Food Canada (AAFC) to generate socio-demographic profiles of the participants in the cost-shared programs administered by provincial governments under the five-year agreement signed with the federal government referred to as the Sustainable Canadian Agriculture Partnership (SCAP). This will allow for the estimation of the shares of these businesses owned by women, youth or indigenous persons.

Output: The output will be in the form of summary tables. The linked AAFC SCAP program list of businesses will be housed at Statistics Canada’s Centre for Special Business Project (CSBP), and a team of Statistics Canada deemed employee researchers from AAFC will prepare the tables which will be vetted for confidentiality by CSBP employees.

Purpose: The goal is to produce a profile of businesses in the ocean tech sector. As no North American Industry Classification Code exists to define the sector, Oceans Advance has identified a list of companies that are part of this sector. Statistics Canada will link this list of companies to Statistics Canada’s Business Register and National Accounts longitudinal Microdata File to provide Oceans Advance with an overview of the sector. 

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in the form of tables including aggregate estimates of revenue, employment, profits and research and development expenditures from 2013 to 2023.

Purpose: The proposed activity would link the enterprises in the Business Linkable File Environment (BLFE) of the Centre for Special Business Projects (CSBP) to businesses in the Environmental Protection Expenditure Survey (EPES). The linkage of EPES to the BLFE will allow the production of custom tabulations by Statistics Canada employees. This will allow the exploration of the relationship between advanced and clean technology adoption and business performance over time to help build and enhance government policies and programs to encourage business competitiveness and innovation. The use of the linkage of EPES to the BLFE is a project done by CSBP for Natural Resources Canada (NRCan) 

Output: Only non-confidential aggregate statistics and analyses that will not result in the identification of an individual person, business or organization will be released outside of Statistics Canada.

Outputs will include data tables providing descriptive statistics of enterprises related to technology adoption, and potentially data models to better understand determinants of technology adoption and impact. NRCan will utilize these data products to tailor policies, programs, and tools to help Canadian enterprises improve their R&D, innovation, and productivity.

Purpose: The purpose of this project is to analyze the socio-economic factors and welfare programs associated with the prevalence of homelessness in specific regions of Canada between 2010 and 2023. This research aims to enhance understanding of how the socio-demographic characteristics of social program recipients correlate with homelessness, and to assess the effectiveness of the social safety net as a protective measure against it.

Output: Non-confidential aggregate tables will be generated to profile recipients of benefit programs across specific geographic areas. These tables will present descriptive statistics on the number of beneficiaries and the dollar value of benefits received per program. They will also include socio-demographic characteristics of recipients, such as age, sex, family composition, and place of residence. Only non-confidential aggregate statistics and tables conforming to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released.

Purpose: The purpose of this project is to evaluate the effectiveness of the Youth Association for Academics, Athletics, and Character Education (YAAACE) in improving participants’ socioeconomic outcomes and reducing interactions with the criminal justice system. YAAACE provides culturally responsive and empowering programs and services designed to counteract the systemic challenges and disparities experienced by racialized and economically disadvantaged residents in Toronto. 

Output: Linked analytical files and anonymized linking keys will be used by Statistics Canada to produce non-confidential aggregate statistical tables and analytical reports for Justice Canada. Outputs of the microdata linkage will be released only in accordance with the confidentiality provisions of the Statistics Act and with any applicable requirements of the Privacy Act.

Purpose: The goal of this project is to estimate the economic footprint of the Department of National Defence’s Innovation for Defence Excellence and Security (IDEaS) program expenditures. Statistics Canada will link the list of companies that participated in the IDEaS program to Statistics Canada’s Business Register and National Accounts longitudinal Microdata File. The supply and use tables will also be used to estimate the impacts of the program’s expenditures.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in the form of tables including aggregate estimates of counts of businesses by industry, as well as revenue, employment, and research and development expenditures from 2018 to 2023. Estimates for the direct, indirect and induced effects based on the provincial supply and use tables will also be provided.

Purpose: The specific aims of this project are to quantify the impact of surgery on employment and earnings for patients with acute and chronic neurological conditions treated using surgery. 

The central hypothesis is that these conditions will result in substantial labor market losses and unemployment in Canada; further, we believe surgery may restore some of the workforce participation and earnings losses and be value-based therapies. We will evaluate this using linked longitudinal health and earnings data. 

Importantly, given the mortality risk of some of these conditions, we also seek to use Vital Statistics to estimate the competing risk of mortality versus unemployment. Finally, linkage to the Canadian Cancer Registry (CCR) would also enable us to specifically examine the impact of brain cancer diagnosis on labor market participation/ employment, especially for affected young adults and those with benign and low-grade tumors. 

Output: Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Analytical datasets without identifiers, will be made available in Statistics Canada Secure Access Points such as Research Data Centres (RDCs) and access will only be granted to Statistics Canada deemed employees following the standard approval process.

Purpose: The goal of this project is to link Statistics Canada’s Capital Expenditure survey data with the Canadian Employer-Employee Dynamics Database and the Annual Survey of Manufacturing and Logging to gain a deeper understanding of how Canadian firms plan and execute their investment decisions. By analyzing both planned and actual capital expenditures, the study will examine how firms adjust their investment plans in response to various macroeconomic shocks and firm-specific factors such as size, productivity, and financial health. Ultimately, the research will develop a quantitative model of capital budgeting that can inform policy experiments, helping to explain weak investment growth in Canada and guide effective policy design.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The release of the vetted outputs will be done by Statistics Canada staff. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal. The anonymized analytical file will be made available through Statistics Canada Secure Access Points (such as research data centres), and access will be granted to Statistics Canada deemed employees following the standard approval process. The clients will also have to become Statistics Canada deemed employee to access the data through an approved secure access point.

Purpose: The goal of this project is to link administrative employer-employee data from the Business Employee Analytical Microdata to individual health records from the Discharge Abstract Database, the National Ambulatory Care Reporting System, the Canadian Community Health Survey, and the Postsecondary Student Information System to assess the contribution of employers to health inequality in the Canadian labour market. By combining information on individuals’ workplace characteristics, health outcomes, and educational background, the project aims to analyze how firm-level factors shape health disparities across workers. The findings will support the development of labour and health policy by providing new evidence on how employer characteristics influence worker wellbeing. The resulting linked analytical file will be made available in the Research Data Centres, facilitating further research on the relationship between employment conditions and population health.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The release of the vetted outputs will be done by Statistics Canada staff. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal. The cost associated with the record linkage is funded by a SSHRC Insight Development Grant. The anonymized analytical file will be made available through Statistics Canada Secure Access Points (such as research data centres), and access will be granted to Statistics Canada deemed employees following the standard approval process. The clients will also have to become Statistics Canada deemed employee to access the data through an approved secure access point.

Purpose: The purpose of the project is to create a national dataset that combines information on childhood cancer with birth, death, tax, education, and hospital records. This dataset will allow researchers to study the impact of childhood cancer on survivors, parents and siblings. The linkage will fill important knowledge gaps and inform evidence-based guidelines, policy, and practice development to improve the nature and breadth of support available for children with cancer and their families.

Output: The analytical file, without identifiers, will be made available via Statistics Canada Secure Access Points (such as RDCs), and access will be granted to Statistics Canada deemed employees following the standard approval process. Only aggregate statistical outputs that conform to the confidentiality provisions of the Statistics Act will be disseminated. Outputs from this file may include a wide range of data and analytical products. All products from the linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards.

Purpose: The goal of this project is to link the Longitudinal Worker File to the Postsecondary Student Information System to assess the drivers of earnings inequality in the Canadian labour market. By combining information on individuals’ earnings, employment histories, and educational background, the project aims to analyze how income changes over time and what role factors such as education, job transitions, and life events play. The findings will support the development of economic models and policies that account for individual heterogeneity and distributional effects and that address issues related to earnings inequality.

Output: This project will produce a set of figures and tables that describe how individual earnings evolve over time in Canada, focusing on the distribution, volatility, and persistence of income changes. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal. The anonymized analytical file will be made available to the researchers from the Bank of Canada through Statistics Canada’s virtual data lab or the federal research data centre, and access will be granted to them following the standard approval process.

Purpose: The goal is to produce a profile of businesses in the Canadian genomics industry. As no North American Industry Classification Code exists to define the industry, Innovation, Science and Economic Development Canada (ISED) has identified a list of companies that are part of this industry. Statistics Canada will link this list of companies to Statistics Canada’s Business Register and Canadian Employer-Employee Dynamics Database to provide ISED with an overview of the industry. The project will make it possible to measure the scope of the industry, which will contribute to the Canadian Genomics Strategy.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in the form of tables including aggregate estimates of revenue, sales, employment, business age, proportion of women in the workforce, workforce by age category, and workforce by income level from 2013 onward.

Purpose: To examine and describe the link between the demographic and socioeconomic characteristics of individuals and their fertility trajectories to improve understanding of fertility dynamics in Canada and specifically the potential drivers of Canada’s recent record-low fertility.

Output: 

It is expected that several analytical publications will be disseminated, including:

• short articles highlighting key findings 
• data visualizations such as infographics
• longer research reports documenting detailed results, methodology and analytical design. 

Purpose: To shed light on the characteristics of Canada’s foreign-born mothers. The resulting analytical outputs would address the current high demand from policy makers for more detailed information about Canada’s fast-changing demographic situation and particularly the interaction between international migration and fertility.   

Output: It is expected that several analytical publications will be disseminated, including:

• short articles highlighting key findings 
• data visualizations such as infographics
• longer research reports documenting detailed results, methodology and analytical design. 

Purpose: This project will analyze how businesses supported by ISC are performing compared to similar businesses that did not receive support. It will look at key measures like revenue and job growth, participation in federal contracts, and, where available, information on diversity and inclusion demographic characteristics of business owners and employees. By using existing data, this work provides timely, reliable insights to help improve government programs and ensure public funds are used effectively.

Output: The outputs will be aggregated data tabulations and descriptive analysis of key financial performance indicators of ISC-supported businesses, such as revenue and employment growth over time; their innovation activity, including R&D spending and R&D personnel, heir export activities; and their participation in federal procurement opportunities, including the total number value of contracts awarded. Where data are available, the analysis will also include diversity and inclusion indicators, providing aggregated insights on the composition of business owners and employees by characteristics such as gender, age group, and immigration status.

The linked ISC list of businesses will be housed at Statistics Canada’s Centre for Special Business Projects (CSBP), and a team of Statistics Canada employees will conduct the project using tax variables.

Purpose: This project will explore how high school academic performance acts as a precursor to adult substance use behaviours. By linking educational indicators with outcomes later in life, the study creates a longitudinal connection between adolescence and adulthood, offering a more comprehensive understanding of risk and protective factors. Additionally, by examining how these relationships vary across marginalized groups and considering the mediating effects of postsecondary education and socioeconomic attainment, the project aims to establish a foundation for practical, school-based prevention strategies that address potential root causes of substance use disparities. 

Output: Anonymized linkage keys will be produced and placed in the Research Data Centre for exclusive access by the clients, who will be deemed Statistics Canada employees following the normal RDC project approval procedures.  These anonymized linkage keys will allow the clients to merge records found in the CCHS with data from specified ELMLP files (including the custom T1FF files already included as part of the ELMLP) to conduct their research.  Research findings will be published in open-access journals and shared via presentations at conferences and stakeholder networks.

Purpose: The purpose of the project is to apply an established definition of energy poverty to measure its prevalence and characteristics in Canada by linking census and household survey data. This data linkage is expected to help academic researchers, the general public and government to understand and inform on equitable policy development on energy poverty, especially during the transition to clean energy.

Output: Statistics Canada will provide microdata linkage keys to the Associate Professor leading the research project, Dr. Runa Das from the Royal Roads University via secure StatCan access points. Only non-confidential aggregate statistics and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The source files used in the linkage with no direct identifiers will be made available to the client as Statistics Canada deemed employees through the Research Data Centre (RDC) program using the normal RDC project approval procedures.

Purpose: To evaluate the impact of Global Affairs Canada’s (GAC) CanExport program on small and medium enterprises (SMEs), GAC has requested that Statistics Canada's Economic and Social Analysis and Modelling Division (ESAMD) conduct an impact assessment study. For this analysis, ESAMD will link the list of businesses supported by CanExport from 2015 to 2023 to the Business Register (BR) and the Canadian Employer-Employee Dynamics Database (CEEDD). Using this linked dataset, ESAMD will construct a matched sample of businesses that share similar characteristics with CanExport recipients but did not participate in the program during the study period. This matched sample will allow ESAMD to assess whether SMEs that received CanExport support exported more--by value, number of destinations, and number of products--than non-recipient businesses between 2015 and 2022. The study will also examine differences across various characteristics, such as industry, gender and age of ownership.

Output: 

1. ESAMD will prepare a report for GAC on the linkage rate and quality of the linkage between the GAC database and the Business Register. This is a report describing the rate of companies in the GAC database that can be found, with or without precision, in the Business Register, according to matching criteria such as company name, address, etc. 
2. ESAMD will prepare tables and a document for GAC describing the methodology and strategy for comparison (i.e. CanExport recipients in relation to non-recipients).
   Access to the linked microdata will be restricted to Statistics Canada employees whose assigned work duties require such access. Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The goal of the project is to fill information gaps related to factors associated with increased risk of critical incidents and fatalities in Ontario workplaces. Specifically, the Institute for Work and Health (IWH) wish to identify workplace factors and environmental conditions associated with increased risk of critical incidents or fatalities.

To undertake this project, the IWH will provide a list of business compensation claims to link to Statistics Canada's Business Register and Canadian Employer Employee Dynamics Database. The resulting linked data will be used to examine the relationship between business and workplace factors with increased or decreased likelihood for a fatality or critical incident event.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The anonymized analytical file will be accessed by Statistics Canada deemed employees at the Research Data Centre or Virtual Research Data Centre. Output will include vetted tables of regression results and summary statistics.

Purpose: Statistics Canada will produce aggregate statistics on the incomes of lawyers within the private sector in Ontario to the Association of Law Officers of the Crown and the Ontario Crown Attorney’s Association, for the purposes of collective bargaining with the Ontario government and determining the compensation for these lawyers for the next collective agreement period.  To produce these statistics, Statistica Canada will link Canadian Employer-Employee Dynamics Database and partnership income tax. The scope of this project could be expanded in the future to determine fair market compensation of lawyers representing other provinces.

Output: ESAMD will produce aggregate tables showing total incomes for private-sector self-employed incorporated lawyers, law professional corporations and legal partnerships for the most recent tax year. It will also report key statistics on self-employed lawyers’ professional income, count, mean, median and standard deviation, broken at the provincial level. It will summarize legal partnerships by number and size, partner composition and how income is generated and distributed among owners.

Purpose: The purpose of this linkage project is to obtain specific detailed information to supplement or replace the data collected through the 2026 Census questionnaires and to improve overall the data quality of the Census Program. This use of record linkage provides better-quality, detailed information for small communities and populations, saves time and money, and ensures that the census remains accurate, relevant and efficient. By expanding the use of administrative data in the 2026 Census through record linkage, the burden of response is also reduced as Canadians are spared from supplying the same information they have already provided elsewhere.

Output: The data from these linkages are integrated with collected census data and used to produce estimates for dissemination as part of the standard census product line. Outputs for the census include a wide range of analysis and standard data tables, as well as custom tabulations. Only aggregate statistical estimates and analyses conforming to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act are released outside of Statistics Canada.

Purpose: Data on Indigenous-specific early learning and child-care centres will be linked to Statistics Canada business data, and the revenues and employment of child-care centres will be mapped against the number of Indigenous children aged 0 to 6. This project will help identify areas where the supply of Indigenous-specific child-care needs to be increased.

Output: The anonymized analytical file will only be available to Statistics Canada employees whose work duties require access. Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. All information will be presented in the forms of tables or figures of regression results or summary statistics related to the project’s goal. A report will be released to Employment and Social Development Canada. This report may also be published online by Statistics Canada.

Purpose: Understanding how military service affects the employment and income of spouses is important to better support the financial stability and well-being of military members and their families. The findings from this work may help inform future research on the financial well-being of military families and provide evidence to support policy development aimed at strengthening and rebuilding the Canadian Armed Forces. The public will benefit from improved understanding of the economic experiences of military families and from policies that are better informed by data.

Output: The intended output of the linkage are aggregate descriptive tables and statistical models used to predict income and employment outcomes for spouses of CAF members.  The results will be produced at an aggregated level and provided to the Department of National Defence.