RDC News

Reminders:

We are no longer using Skedda for conference room bookings. To book a time, there are sign-up sheets inside the conference room next to the call logs.

Our functional mailboxes:

• For administrative requests, such as new researcher onboarding, contract amendments, extensions, etc., please email: torontordc-admin@statcan.gc.ca
• For vetting, file transfers, and data-related questions, etc., please email: torontordc-vetting@statcan.gc.ca

On Monday, August 12, there will be no transfers or onsite analyst support. Please send any questions to our functional mailboxes.

On Tuesday afternoons this semester, workstations are reserved for the Panel Data Methods Course taking place in the centre, which may limit the available workstations for researchers. Please arrange your schedules accordingly.

The main objective of the CHIRP (Children with Incarcerated Parents) Study is to identify children who experience parental incarceration, using data from the Canadian Correctional Services Survey (CCSS) 2015-2022, the Canadian Vital Statistics database 1997-2022 and the Discharge Abstract Database 1997-2022.

Through this data linkage, an estimate of the actual number of children experiencing parental incarceration can be determined, as well as he health status and outcomes of this population relative to general population.

The Canadian Social Survey (CSS) will collect information on a variety of social topics such as health, well-being, impacts of COVID-19, activities, time-use, emergency preparedness, quality of life, energy use, virtual health care and trust. The CSS will provide data at the national level (excluding the territories).

The Time Use Survey monitors changes in time use to better understand how Canadians spend and manage their time and what contributes to their well-being and stress.

The data collected provides information to all levels of government when making funding decisions, developing priorities and identifying areas of concern for legislation, new policies and programs.

The Survey Series on People and their Communities (SSPC) involves creating a panel of people who agree to complete a series of short surveys. This is the third time that Statistics Canada is conducting this type of survey.

The purpose of the Survey Series on People and their Communities – Social Cohesion and Experiences with Discrimination is to collect information on quality of life, future outlook, feelings towards others, and experiences of discrimination. Results from this survey will provide important information on the social and cultural environment of individuals and families in Canada and will help decision makers develop programs and policies to better serve all people living in Canada.

The National Graduates Survey (NGS) Class of 2020 master and income analytical files are now available in Research Data Centers. In the master file, data collected in 2023 cover the education and labour market experiences of students who graduated from a Canadian public postsecondary institution in 2020. The income analytical file for postsecondary graduates in the Class of 2020 is derived from administrative income files. 

These two data files are part of the Education and Labour Market Longitudinal Platform (ELMLP). Note that since the NGS sample was selected from the Postsecondary Student Information System (PSIS) for the academic years 2019-2020 and 2020-2021, the “Register group ID” and “Cohort group ID” have been integrated directly into the NGS master and income analytical files (as REGISTID and COHORTID, respectively). They are unique person level IDs which can be used to link NGS data with other administrative and survey data within an ELMLP.

The master file consists of:

• A master file that includes anonymized records of postsecondary students who graduated from a Canadian public postsecondary educational institution in 2020. These records include information about educational pathways, postsecondary funding, mobility, school-to-work transitions, labour market outcomes and pursuits of further postsecondary studies. The impact of the COVID-19 pandemic on the education and employment of graduates is also included. The file also includes information on sociodemographic characteristics, international students holding a study permit, languages, employment income in 2022. Administration data from Canada Emergency Response Benefit and Canada Emergency Student Benefit are also included in this file.
• A data dictionary for the National Graduates Survey Class of 2020 master file
• A user guide with 10 appendices, record layouts and syntax files for the National Graduates Survey Class of 2020 master file. 

The income analytical file consists of:

• An income analytical file that contains records for the National Graduates Survey Class of 2020 on personal and employment income obtained from administrative tax files for the years 2019 through 2022. 
• A data dictionary, record layouts and syntax files for the National Graduates Survey Class of 2020 Income analytical data file.

The Canadian Health Survey on Children and Youth explores issues that have an impact on the physical and mental health of children and youth, such as physical activity, the use of electronic devices, time spent in school and extracurricular activities, mental health, childhood experiences, suicidal thoughts, substance use and impact of the COVID-19 pandemic.

Additionally, the 2023 iteration of the Canadian Health Survey on Children and Youth follows respondents from the previous cycle (2019), assessing changes over time in health and well-being outcomes of Canadian children and youth.

The Canadian Housing Survey (CHS) - T4, T1FF, Historical Address, Income Dispersion: All Years is now available for download and can be accessed by researchers with approved projects.

A suite of files under the umbrella of the Canadian Housing Survey (CHS) program is now available and can be accessed by researchers with approved projects. This data release includes microdata from the 2022 cycle (see article in The Daily published September 10, 2024). 

The 2022 CHS provides information on how Canadians feel about their housing and how housing affects them. Information is collected on core housing need; dwelling characteristics and housing tenure; perceptions of economic hardship from housing costs; support and childcare payments; dwelling and neighbourhood satisfaction; perceptions of neighbourhood issues and safety; housing moves including forced moves; community engagement; life and community satisfaction; self-assessed health; experience with homelessness; socio-demographic characteristics; and access to transportation.

Information about household support and childcare payments and household’s access to transportation is new to the 2022 cycle.

Social and Affordable Housing (SAH) is an important part of the housing stock that provides housing to people in need. The CHS aims to provide detailed and precise statistics on households in SAH by oversampling this subpopulation.

The CHS 2022 was carried out in all 10 provinces.

To enhance the CHS the following pre-linked data files are released today:

• Detailed income information for 2022 CHS from Administrative Personal Income Masterfile, 2022
• Historical income data from T4 file and T1 Family File (CHS 2021 and 2022)

New Longitudinal Administrative Databank (LAD) data linked to the Census of Population (CEN) 2016, 2021, is now available in Research Data Centres across Canada.

Statistics Canada is pleased to announce the availability of a new linkage key files ^[1]: the Longitudinal Administrative Databank (LAD) and the 2016 Census of population long form data; and the LAD and the 2021 Census of population long form. 

The available microdata contains anonymized identification number for the LAD from 1982 to 2021 (20% of tax filers) linked to the 2016 and to the 2021 respondents to the census of population. To access actual information, researchers will need to link the LAD and appropriate census data using these linkage key files. It is important to note that the linkage keys should not be used to link census data from 2016 and 2021 together.

Researchers will find useful to combine longitudinal income tax data with detailed characteristics on various topics available in the Census of population long form database. 

The data dictionary of each of the three data source should be consulted for detailed content of the data sources.

LAD: Longitudinal Administrative Data Dictionary (statcan.gc.ca)

2016 Census of population long form: Census Dictionary, 2016 (statcan.gc.ca)

2021 Census of population: Dictionary, Census of Population, 2021 (statcan.gc.ca)

New Pediatric Cancer Data linked to Births and Tax Data, is now available in Research Data Centres across Canada.

 This linkage links births in Canada from 1992 to 2021 (using the births_m from 1992 to 2017 and mcentric from 2010 to 2020 files built from Canadian Vital Statistics – Births from 1992 to 2021) to family tax data based on the birth mother (the T1 Family File from 1992 to 2021), hospital data for both children and mothers (the Discharge Abstract Database from 1994 to 2022), pediatric cancer data (the Canadian Cancer Registry from 1992 to 2021), and pediatric deaths data (Canadian Vital Statistics – Deaths from 1992 to 2021). Analyses using this linked dataset must use the Canadian Cancer Registry. 

The Isolated Posts Allowance Indexes (IPAI) - AllYears is now available for download and can be accessed by researchers with approved projects.

The purpose of this survey is to collect data used to calculate spatial price indexes that determine the Living Cost Differential allowance level payable, under the Isolated Posts and Government Housing Directive (IPGHD), to Canadian government employees serving at "isolated" locations in Canada.

The Uniform Crime Reporting Survey is now available for download and can be accessed by researchers with approved projects.

The Canadian Centre for Justice and Community Safety Statistics (CCJCSS), in co-operation with the policing community, collects police-reported crime statistics through the Uniform Crime Reporting Survey (UCR). 

The Uniform Crime Reporting Survey was designed to measure the incidence of crime in Canadian society and its characteristics. The information is used by federal and provincial policy makers as well as public and private researchers.

UCR data reflect reported crime that has come to the attention of police. Information collected by the survey includes the number of criminal incidents, the clearance status of those incidents and persons-charged information. The UCR Survey produces a continuous historical record of crime and Federal traffic statistics reported by every police agency in Canada since 1962. In 1988, a new version of the survey was created, UCR2, and is since referred to as the "incident-based" survey, in which microdata on characteristics of incidents, victims and accused are captured. The years of UCR data available in the Research Data Centre (RDC) cover the period from 2009 to 2022. Reporting coverage varies slightly year to year and therefore the files cannot be used for trend analysis. Hate crime, organized crime/street gang involvement and cybercrime information is not currently available from the RDC files.

It is important to note that there have been a few notable changes since the UCR data were last available on the repository:

1. Effective January 2018, new standards for reporting incidents by clearance status were established for the UCR Survey and disseminated to all police service respondents, with most police services updating their information systems throughout 2018. The 2019 data are the first year of complete data that follows the new reporting standards. This shift in reporting methodology has been documented in technical publications released by Statistics Canada on July 12, 2018.
2. The collection of gender information has been expanded to include gender diverse information; however, researchers are asked to pay close attention to the vetting requirements.
3. The Canadian Forces Military Police (CFMP) became an active respondent to the UCR survey in 2022 and are required to provide the same information provided by other police services. They have provided incidents going back to January 2020.

The Medical Assistance in Dying (MAID) is now available for download and can be accessed by researchers with approved projects.

The data is based on reports from physicians and nurse practitioners on written requests for and provisions of Medical Assistance in Dying (MAID) across Canada for the 2019, 2020 and 2021 calendar years. 

This is non-Statistics Canada information. For further details visit:

https://www.canada.ca/en/health-canada/services/medical-assistance-dying.html

The Industrial Product Price Index (IPPI) – AllYears is now available for download and can be accessed by researchers with approved projects.

The Industrial Product Price Index (IPPI) measures price changes for major commodities sold by manufacturers operating in Canada. The prices collected are for goods sold at the factory gate. As a result, the prices covered by the IPPI refer not to what a purchaser pays, but to what the producer receives. They exclude all indirect taxes, such as sales taxes and tariffs as this money does not go to the factors of production (i.e. labour, capital, or profit). They also exclude any transportation service performed by a common carrier beyond the factory gate and any distribution services performed by the retail or wholesale trade industries.

The Canadian Coroner and Medical Examiner Database (CCMED) is now available for download and can be accessed by researchers with approved projects.

The CCMED is a database developed at Statistics Canada in collaboration with the provincial and territorial Chief Coroners and Chief Medical Examiners and the Public Health Agency of Canada. Currently, the CCMED combines information from 12 provincial and territorial databases to provide national level information on deaths reported to and investigated by coroners and medical examiners.

Data Contents: 

The CCMED contains the following datasets:

• CASES 2006-2024

• SAFETY (SAFD) 2006-2024

• CIRCUMSTANCE (CIRC) 2006-2024

• The Industrial Consumption of Energy survey (ICE), which is funded by Natural Resources Canada and Environment and Climate Change Canada, provides estimates of energy consumption by manufacturing establishments in Canada. These estimates serve as an important indicator of Canadian economic performance and are used by all levels of government in establishing informed policies in the energy area.
• The Industrial Consumption of Energy survey (ICE) collects data on electricity generation, energy consumption and steam sales. It requests data on the consumption of various energy commodities such as electricity, natural gas, propane, diesel, wood and steam. It also asks information on the different usages of energy commodities: as fuel, to produce steam for sale, to produce electricity and for non-energy use.
• The survey results are used by Natural Resources Canada to track energy efficiency improvements and by Environment and Climate Change Canada to calculate carbon dioxide emissions. Industry also uses the information to monitor the results of their energy reduction efforts and to measure their contributions to Canada's climate change goals. Within Statistics Canada, the data are used as an input into the environmental accounts and statistics as well as into the annual Report on Energy Supply and Demand in Canada.

• The HES provides context to scientific measures of air and water quality, and greenhouse gas emissions, by gaining a better understanding of household behaviour and practices with respect to the environment.
• Since the HES was first conducted in 1991, environmental priorities and concerns have changed for Canadians. The quality of drinking water, the impact of residential pesticide use and the impact of hazardous waste on human health are only some of the newer issues that have moved to the forefront of Canadians' collective consciousness. Changes in environmental practices and behaviours are reflective of these growing concerns.

The objective of the Survey of Advanced Technology is to collect important information about the extent to which Canadian enterprises use advanced technologies.

Statistics Canada has undertaken this survey to provide statistical information on the use of advanced technologies by Canadian firms in the following industry sectors: Agriculture, Forestry, Fishing and Hunting, Mining, Quarrying, and Oil and Gas Extraction, Utilities, Manufacturing, Wholesale Trade, Retail Trade, Transportation and Warehousing, Information and cultural industries, Finance and Insurance, Professional, Scientific and Technical Services, Health care and social assistance, Arts, entertainment and recreation, Accommodation and food services, and Other services (except public administration).

The survey's questions address the following themes: type of technology used including, advanced material handling, supply chain and logistics, advanced business intelligence, advanced design and information control, advanced green technologies, geomatics and geospatial, nanotechnologies and biotechnologies; objectives and obstacles to adoption, capital expenditures and sources of funding; skill requirements and training; expenses tied to advanced technologies; development and implementation of advanced technologies; reasons for not investing in advanced technologies; business practices; product/process/marketing/organizational innovation. Currently, the data covers the years 2007, 2014 and 2022.

To increase the analytical potential of this survey, Statistics Canada plans to combine the data obtained from this survey with data from other Statistics Canada surveys or administrative data.

The information compiled from this survey will be used by the Canadian and provincial governments to better understand innovation activities linked to the modification and creation of technology as well as to develop policies to help businesses improve their productivity and competitiveness via the technology.

The information compiled from this survey may also be used for market analysis, by industry associations to study the characteristics of advanced technology use within their industry, and by academic researchers to perform research on the characteristics of advanced technology use and its business impacts.

The Canadian Social Survey (CSS) will collect information on a variety of social topics such as health, well-being, impacts of COVID-19, activities, time-use, emergency preparedness, quality of life, energy use, virtual health care and trust. The CSS will provide data at the national level (excluding the territories).

The purpose of the survey is to collect information from a sample of Canadian households on their assets, debts, employment, income and education. The SFS provides a comprehensive picture of the financial health of Canadians. Information is collected on the value of all major financial and non-financial assets and on the money owing on mortgages, vehicles, credit cards, student loans and other debts.

What’s New?

The occupation classification has been updated. The CIS now uses National Occupational Classification (NOC) 2021 V1.0. Occupation variables were revised back to 2012.

Cycle 1 – 5:

• Relationship files

  The relationship data file contains information linking individuals of participating 2-person households in the Canadian Health Measures Survey (CHMS). The data file contains four variables: the household ID (HHLDID) which links individuals in a given household, the respondent CLINICID, the relationship type (REL) and the full weight variable (WGT_FULL).

For 2021, data on income and income taxes come mainly from the Administrative Personal Income Masterfile (APIM). The reference year for income and income tax data is the calendar year preceding the year of the survey, i.e. 2020 for SHS 2021 

The 2021 SHS survey weights are calibrated to the demographic projections based on the 2016 Census of Population. 

As with previous cycles, sound methods have been used to produce the survey estimates and indepth validations were also carried out. Because of the specific context related to the COVID 19 pandemic for this cycle, it is advisable to use SHS 2021 data with caution, particularly for estimates pertaining to small sub-populations or for comparisons with other SHS cycles.

The children's data modules includes those who were admitted at 17 years of age or younger. Tax files from 1982 to 2022 are included.

The CHILD_PNRF_1980_2022 file includes a subset of variables available in the PNRF and information about the children’s parent(s), such as IMDB_ID and first and last year of filing during the children's childhood. 

In the tax files, parents are identified with an IMDB_ID_PARENT. IMDB_ID_PARENT are equal to parent’s IMDB_ID, if parents are present on the immigration files (e.g.: had permanent or non-permanent permit(s)).

Tax files related to children’s parent include a subset of the variables included in the IMFB_T1FFs. Only main income variables (such as employment income), tax benefits and deductions provided to families and parents were kept (such as child tax benefits and education amount and tuition fees transferred from a child).

Updates:

• Additional CCTB dataset
  • All child beneficiaries of CCTB for incarcerated parents will be identified, and their date of birth will be provided
• Additional Child_deaths dataset
  • Child deaths from cvsd
• Additional childandparent dataset
  • Children that are also parents
• Updated LKEYS file
  • Any Parent-child combination not found in the CVSB linkage or DAD linkage was added to the LKeys file (CCTB)
• Updates CCSS_demo file
  • TYPEPAR variable updated to include CCTB only parents.

Corrections to the Canadian Income Survey (CIS) 2022 are now available for download and can be accessed by researchers with approved projects.

Correction:

• A coding error was identified in the CIS 2022 PLUS files
• The files have been re-staged and corrected versions are now available.

The Integrated Criminal Court Survey (ICCS) All Years is now available for download and can be accessed by researchers with approved projects.

New documentation is now available:

• The Integrated Criminal Court Survey (ICCS) Data Dictionary was updated in English and in French. The English version underwent minor revisions, mostly just to ensure the most up-to-date information is available. The French version underwent more extensive revisions as a thorough comparative edit had identified many inconsistencies between the French and English data dictionaries due to various updates that had not been integrated into the French manual. RDC researchers should use the updated versions of the data dictionaries for the most accurate information.

Updates to the Canadian Housing Statistics Program (CHSP) 2022 are now available for download and can be accessed by researchers with approved projects.

• Today, the Canadian Housing Statistics Program is releasing new data on residential properties and their owners, for the 2022 reference year, in Newfoundland and Labrador, Nova Scotia, New Brunswick, Ontario, Manitoba, British Columbia, the Northwest Territories and Nunavut.

• The data released today also include residential property sales and buyers in 2021 in some provinces.

• The sales files include data on properties sold from January 1 to December 31 for the calendar year. Users are advised to link the sales file with the property or owner files from the subsequent reference year for analysis. For instance, sales that occur from January 1 to December 31, 2018, should link to the CHSP data for the reference year 2019. The files include both market and non-market sales. A property may be sold multiple times in a calendar year, but only the last transaction of the year is kept. Multiple properties may be included in the same sale, where one price was paid for multiple properties. A price adjustment is applied to these properties to estimate the price paid for each individual property.

• A "property buyer" refers to a residential property owner that has the property title transferred to, recorded in, registered in, or otherwise carried in their name after the sale of a property during the reference period. If a property was sold multiple times in the year, only the last set of owners will appear on this file. Buyers in reference period (Y) are owners of the following reference period (Y+1), who purchased a property from January 1 to December 31 of the reference period (Y).

Updates to the Census of Population (2021)are now available for download and can be accessed by researchers with approved projects.

A new version (V2) of the 2021 Census Research Data Centre (RDC) File and User Guides has been produced.

The number of variables in V2 of 2021 Census Research Data Centre (RDC) File is mostly the same as that of V1. However, some variables have been added or deleted to reflect the availability of additional data since the initial release.

Additions:

• Income: Adjusted disposable income for 2018-base Northern MBM of economic family for all persons (EFDIMBM_SZ_PP_2018_N)

• Income: Disposable income for 2018-base Northern MBM (DIMBM_2018_N)

• Income: Disposable income for 2018-base Northern MBM of economic family for all persons (EFDIMBM_PP_2018_N)

• Income: Low-income gap based on 2018-base Northern MBM (LOMBM_GAP_2018_N)

• Income: Low-income gap ratio based on 2018-base Northern MBM (LOMBM_RATIO_2018_N)

• Income: Low-income status based on 2018-base Northern MBM (LOMBM_2018_N)

• Income: Medical expenses for 2018-base Northern MBM of economic family for all persons (EFMEDEXP_PP_2018_N)

• Income: Non-discretionary spending for 2018-base Northern MBM (DEDUC_2018_N)

• Income: Northern Market Basket Measure, 2018-base (LOMBM_LINE_2018_N)

• Income: Northern MBM regions, 2018-base (MBMGEO_2018_N)

• Income: Population below 2018-base Northern MBM counter (NUMLOMBM_2018_N)

• Income: Population counter for Northern MBM universe (DENLOMBM_2018_N)

• Income: Severity of low income based on 2018-base Northern MBM (LOMBM_SEV_2018_N)

• Income: Tenure type adjustment for 2018-base Northern MBM of economic family for all persons (TTA_PP_2018_N)

• Labour: Occupation (based on the NOC 2021 recoded to NOC 2016 version 1.3) (NOC2016)

• Language: Eligibility for instruction in the minority official language – Variant with Canadian citizenship of parent(s) (LI_ELIG_CANCITIZN_CRIT)

• Non-permanent resident type (NPRTYPE)

• Population Centre and Rural Area Type (POP_CNTR_RA_TYPE)

   

Deletions:

• Labour: Hours worked for pay or in self-employment, no zero value in statistics (Hours_No_Zeros)

• Labour: Weeks worked during the reference year, no zero value in statistics (Weeks_No_Zeros)

Updates to business data documentation are now available for download and can be accessed by researchers with approved projects.

• Documents are considered confidential (protected B) and cannot be shared externally 

• If any researchers have questions about business data (e.g., ASM) these guides can provide some supplementary information

The folder has been placed in the confidential pilot data drive, located on Network C, here:

\\rdcnasb\SocialSurveys\confidential-pilot-data\EAD_Documentation

Updates to the Canadian Census Health and Environment Cohort (CanCHEC) 2006 are now available for download and can be accessed by researchers with approved projects.

The 2006 Canadian Census Health and Environment Cohort (CanCHEC) (019-2019) is a population-based linked data product that follows individuals from a sample of approximately 20% of Canadian households that responded to the 2006 Census of Population long-form questionnaire.

• CanCHEC 2006 mobility file has been added.

The 2006 Canadian Census Health and Environment Cohort (CanCHEC) is a population-based microdata linkage. The cohort consists of 5,871,337 persons selected from the 2006 Census of Population long-form sample with mortality follow-up through December 31, 2019 using the Canadian Vital Statistics – Death database. This data release includes annual postal codes for mailing addresses from 1981 to 2019 for the cohort members.

Statistics Canada has a long history of performing microdata linkages to support the design, maintenance, evaluation, research and redesign of ongoing data collection and methodological studies within Statistics Canada, as well as to provide statistical information in aggregate or anonymous format in support of research studies. Microdata linkage is an important and cost-effective statistical method used to develop data products that support advanced research and provide new insights on important social issues, such as health outcomes and disparities in subsectors of the Canadian population.

Corrections to the Survey of Household Spending (SHS) – 2021 are now available for download and can be accessed by researchers with approved projects.

•  An error in the household diary files was identified and has been resolved.

 This data is being placed on the repository. If you do not have researchers accessing the data at this time, you can download a copy from the repository when you require it.

The Future to Discover (FTD) project data file is a rich longitudinal database containing information on a cohort of secondary school students that has been followed for 6 years. The FTD Project randomly assigned these secondary school students to three program groups: no intervention; one intervention; or two interventions. The target population includes all Grade nine students in the province of New Brunswick and Manitoba who are Canadian citizens or landed immigrants to Canada.

Statistics Canada, in collaboration with the provincial and territorial ministries of education, Employment and Social Development Canada (ESDC), and other stakeholders, has developed the Education and Labour Market Longitudinal Platform (ELMLP).

The ELMLP allows longitudinal integration of administrative data related to education with other data sources to create anonymized, customized datasets for analytical purposes.

Update:

An update to the T1 Family File (T1FF) data for the Future to Discover (FTD) project is now available.  The FTD data can be integrated with other files from the Education and Labour Market Longitudinal Platform (ELMLP). 

The update consists of:

• Three new years of T1FF outcomes for the FTD population, from the 2020 to 2022 tax year, as a single stacked file.
• Updated documentation for the tax data based on the newest ELMLP T1FF Dictionary.

Updates to the CanCHEC 2016 are now available for download and can be accessed by researchers with approved projects. 

 What’s new?

• The folder access structure and contents for CanCHEC 2016 have been updated.  The existing CanCHEC 2016 folder structure will be retired from the repository and marked with “Do Not Use”
• Access is now granted separately for CanCHEC 2016, CanCHEC 2016-DAD, CanCHEC 2016-NACRS and CanCHEC 2016-OMHRS
• Local RDC copies that are being used can continue to be used, however these versions will no longer be updated and will be removed from the Repository soon.

An update to the Discharge Abstract Database, National Ambulatory Care Reporting System and Ontario Mental Health Reporting System linked to the Canadian Vital Statistics Deaths Database (CIHI_CVSD) is now available for download and can be accessed by researchers with approved projects.

• Statistics Canada has linked the patient records in the Discharge Abstract Database (DAD) from 2000/2001 to 2022/2023, the National Ambulatory Care Reporting System (NACRS) from 2002/2003 to 2022/2023), and the Ontario Mental Health Reporting System (OMHRS) from 2005/2006 to 2022/2023 to the Canadian Vital Statistics Death Database (CVSD) from January 1, 2000, to December 31, 2022.  

The objective of the linkage project is to increase the analytical and research value of the individual Canadian Institute for Health Information (CIHI) files by including information about deaths that occur after discharge from hospital. To that end, the linked dataset will be used to develop and validate health care indicators and performance measures as well as perform survival and outcome analyses on acute inpatient data while considering such elements as efficiency, continuum of care, outcomes and disparities in health and longevity.

To achieve this objective, the patient records in the Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS) and the Ontario Mental Health Reporting System (OMHRS) were linked to the CVSD. In addition to the deaths occurring in hospitals which are captured in the CIHI datasets, the linked file will provide information on patients who have died following their discharge from an acute care hospital or an emergency room.  Statistics Canada does not have Quebec hospitalization data (RAMQ) as part of its data holdings and thus hospitalizations that occurred in the province of Quebec are not included in the linked datasets.

Updates to the Business–Employee Analytical Microdata (BEAM) are now available for download and can be accessed by researchers with approved projects.

An additional file has been produced to make the T2OWNER_FLAG variable accessible, following its omission during the release of T1PMF data as a component of the BEAM. This file can be merged with T1PMF using the variable CASENUM2021. We apologize for any inconvenience this may have caused.

Updates to The Impact of Preterm Birth on Socioeconomic and Educational Outcomes of Children and Families (010-2021) (IPB) are now available for download and can be accessed by researchers with approved projects.

What’s New

• The updated release for this project adds STC and STM linked to DAD for the period 2005—2019. 

The purpose of this data integration project is to quantify individual- and family-level, socioeconomic impact of preterm birth, in both the short- and long-term survivors and compare their outcomes to those of infants born at term. This project will also create a retrospective cohort of families of preterm infants and compare their outcomes to those of families of infants born at term.

Four cohorts were produced for this project: long-term follow-up of children (LTC) born between 1983 and 1996, long-term follow-up of mothers (LTM) of children born between 1983 and 1996; short-term follow-up of children (STC) born between 2006 and 2015; and short-term follow-up of mothers (STM) of children born between 2006 and 2015. Subsequently, each cohort was linked to one or more of the following administrative and/or survey data: the T1 Family file (T1FF); the Canadian Vital Statistics – Deaths Database (CVSD); the Discharge Abstract Database (DAD); the Employment Insurance Status Vector (EISV); the Postsecondary Student Information System (PSIS); and the 2006 Census of Population. 

This project will provide valuable information to both policymakers and clinicians. The linked data can be used to help inter alia:

• Elucidate areas of focus or improvement for future interventions involving preterm birth children and families;

• Provide comprehensive, quantifiable estimates of the short- and long-term socioeconomic impact of preterm birth on both child and family.

Statistics Canada has a long history of creating, using and making available record linkages. Record linkage is an important and cost-effective statistical technique used to develop data products that support advanced research and provide new insights on important social issues, such as health outcomes and disparities in subsectors of the Canadian population.

The Canadian Vital Statistics - Birth database (CVSB) 2023 is now available for download and can be accessed by researchers with approved projects.

The CVSB is an administrative survey that collects demographic information annually from all provincial and territorial vital statistics registries on all live births in Canada.

The Canadian Cancer Registry (CCR) - International Agency for Research on Cancer (IARC) 2021 and the CCR - Surveillance Epidemiology and End Results (SEER) 2021 are now available for download and can be accessed by researchers with approved projects.

The Canadian Cancer Registry (CCR) is a population based registry that includes data collected and reported to Statistics Canada by each provincial/territorial cancer registry. The person based CCR collects information about each new primary cancer diagnosed among Canadian residents since 1992. The objective is to produce standardized and comparable incidence data that can be used to assist and support health planners and decision-makers to: identify risk factors; plan, monitor and evaluate cancer screening, treatment and control programs; and conduct research.

The Canadian Census Health and Environment Cohort (CanCHEC) Overlap File  has been updated to include the 2021 CanCHEC. The updated datafile and documentation are now available for download and can be accessed by researchers with approved projects. 

The Canadian Census Health and Environment Cohorts (CanCHECs) are population-based probabilistically linked datasets that combine long-form census respondents (or the National Household Survey respondents) with administrative health data (e.g., mortality, cancer, hospitalizations, ambulatory care, and mental health) and annual postal codes. These data can be used to examine health outcomes by population characteristics measured by the long-form census or the National Household Survey (e.g., income, education, occupation, language, ethnicity, immigrant status, or Indigenous identity). Environmental data can be attached to the CanCHECs using the annual postal code file in order to examine the association between environmental exposure and a health outcome. 

The Criminal Justice Relational Database (CJRD) was created to allow multivariate analyses on the demographic and socioeconomic factors associated with (repeated) criminal justice system involvement in Canada. It consists of de-identified, integrated criminal justice data, as well as other integrated social data sources (e.g., economic, health, and education data). Integrated files refer to microdata files that are equipped with unique de-identified identifiers that allow the merging of variables at the person level between files. 

Corrections to the CJRD data linked to census are now available in Research Data Centres across Canada.

• The 2006 Census Concordance Key Files were created with the variable PP_ID as the merging key, but this key was not released on the RDC version of the 2006 Census dataset. The new 2006 Census Concordance Key Files include a different set of variables which, together, make up a unique record identifier for the RDC version of the 2006 Census dataset.  

Corrections to the Children with Incarcerated Parents are now available for download and can be accessed by researchers with approved projects.

Updates

• DAD_CHILD (DAD_CHILD_CCTB)
  
  • Added diagnosis birth codes beginning with V3 and V27 for ICD9
  • Updated coding for ICD9/10 accounting for provincial ICD10 start dates
  • Added missing admission dates
  • Added additional CCTB records
• DAD_MOTHER
  
  • Added diagnosis birth codes beginning with V3 and V27 for ICD9
  • Updated coding for ICD9/10 accounting for provincial ICD10 start dates
  • Added missing admission dates 
  • One record per child
• CCTB
  

  • Updated childid as some were being double counted

• LKEYS

  • Updated to incorporate changes from DAD/CCTB files

  • Including parents in custody from DAD_CHILD_CCTB

  • include parents in community from dad_child

• CCSS_DEMO

  • Updated to incorporate changes from DAD files

  • TYPEPAR variable updated to include CCTB only parents

• Child_deaths

  • Child deaths from cvsd

• childandparent dataset

  • Children that are also parents

CHSCY 2019 updates:

• As it is now required by Statcan, we have added 4 “Gender+” variables. This update was done in our current CHSCY 2023, and we are now updating CHSCY 2019 accordingly
• A flag was added (SAMPLE 23) that identifies which 2019 CHSCY respondents were selected for the longitudinal follow-up in 2023
• Minor updates to the Sleep module, where some “valid skips” were interchanged with Not stated 
• Updates on an immigration variable (country of birth): the country codes were updated appropriately.

The LAD databank has been updated and now includes income and family information up to 2022. As well, Research Data Centres are strongly encouraged to download updated LAD data for the years 1982 to 1990 due to a modification of some variables. 

The modification affects the capital gains variable (CLKGX ) and the calculation of gross taxable gains for reference years prior to 1991. This also affects aggregated variables that include capital gains: - Total Income plus capital gains (XTIIC), After Tax income plus capital gains (AFTIC), and Market income, plus capital gains (MKIIC) for the years prior to 1991.

All of these variables reside on the LAD database “LADyear”. It is not necessary to download again the databases files REG” year” or KID” year” for the years prior to 1991. 

The primary objective of the Canadian Income Survey (CIS) is to provide information on the income and income sources of Canadians, along with their individual and household characteristics. The data collected in the CIS is combined with Labour Force Survey (LFS, record number 3701) and tax data.

The survey gathers information on labour market activity, school attendance, support payments, child care expenses, personal income, food security, and characteristics and costs of housing. This content is supplemented with information on individual and household characteristics (e.g. age, educational attainment, main job characteristics, family type), as well as geographic details from the LFS. Tax data for income and income sources are also combined with the survey data.

The survey is conducted nationwide, in both the provinces and the territories.

The Criminal Justice Relational Database (CJRD) was created to allow multivariate analyses on the demographic and socioeconomic factors associated with (repeated) criminal justice system involvement in Canada. It consists of de-identified, integrated criminal justice data, as well as other integrated social data sources (e.g., economic, health, and education data). Integrated files refer to microdata files that are equipped with unique de-identified identifiers that allow the merging of variables at the person level between files. 

 New CJRD data linked to CVSD data is now available in Research Data Centres across Canada.

 The CJRD has produced new concordance files:

Concordance files^[[1] To use these concordance files, researchers are to request access to (1) Cohort files (e.g. ICCS Allyears), (2) concordance file (e.g. CJRD-CVSD) and (3) Additional corresponding data source(s) (e.g. VSDD-AllYears). ^1] : 

• CJRD linked to CVSD

• ICCS: 2020/2021 and CCSS 2021/2022 – CVSD: 2005-2020

 Files for the Canadian Vital Statistics Deaths (CVSD) Database have been added to the Criminal Justice Relational Database (CJRD). These files allow for the CJRD Core Files to be integrated with the CVSD.