Corrections Population Mortality Dataset: Microdata Linkage of the Canadian Coroner and Medical Examiner Database (CCMED) to the Canadian Correctional Services Survey (CCSS) and Canadian Vital Statistics Database – Death (CVSD) (001-2025)
Corrections Population Mortality Dataset: Microdata Linkage of the Canadian Coroner and Medical Examiner Database (CCMED) to the Canadian Correctional Services Survey (CCSS) and Canadian Vital Statistics Database – Death (CVSD) (001-2025)
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.
Productivity of businesses supported by Investissement Québec. (002-2025)
Productivity of businesses supported by Investissement Québec. (002-2025)
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.
Linkage of the Census of Population to the Integrated Criminal Court Survey (ICCS) and the Canadian Correctional Services Survey (CCSS) to explore the characteristics of people who come into contact with the criminal justice system relative to those who do not. (004-2025)
Linkage of the Census of Population to the Integrated Criminal Court Survey (ICCS) and the Canadian Correctional Services Survey (CCSS) to explore the characteristics of people who come into contact with the criminal justice system relative to those who do not. (004-2025)
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.
Exploring differences between Our Health Counts Community Partnered Respondent Driven Sampling Methods to Enumerate First Nations, Metis, and Inuit Populations in Thunder Bay and Kenora and Statistics Canada Population Counts. (005-2025)
Exploring differences between Our Health Counts Community Partnered Respondent Driven Sampling Methods to Enumerate First Nations, Metis, and Inuit Populations in Thunder Bay and Kenora and Statistics Canada Population Counts. (005-2025)
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.
Businesses in the Life Sciences industries (006-2025)
Businesses in the Life Sciences industries (006-2025)
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.
Intensive Rehabilitative Custody and Supervision (IRCS) microdata linkage project with Criminal Justice, Health, Education, Census, and Tax data. (007-2025)
Intensive Rehabilitative Custody and Supervision (IRCS) microdata linkage project with Criminal Justice, Health, Education, Census, and Tax data. (007-2025)
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.
Linking Canadian Oral Health Survey (COHS) and Canadian Dental Care Plan (CDCP) data to sociodemographic and socioeconomic variables and health outcomes. (008-2025)
Linking Canadian Oral Health Survey (COHS) and Canadian Dental Care Plan (CDCP) data to sociodemographic and socioeconomic variables and health outcomes. (008-2025)
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.
Microdata Linkage for Creation of a Social Surveys Person-Level Sampling Frame (009-2025)
Microdata Linkage for Creation of a Social Surveys Person-Level Sampling Frame (009-2025)
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.