New Data Available

New General Social Survey - Social Identity (GSS) 2020 – Cycle 35 data linked to ERB, IMDB and T1FF, is now available in Research Data Centres across Canada.

• In accordance with record linkage request #037-2021 sponsored by Diversity and Sociocultural Statistics, a new release of the micro data file of the 2020 General Social Survey – Social Identity, Cycle 35 (GSS SI) is now available in Statistics Canada Research Data Centres. This file now includes administrative data from the T1 Family File (2015 to 2020), the Emergency and Recovery Benefits file (2020) and the Longitudinal Immigration Database (IMDB) (2020). The micro data file comes with a user guide and data dictionaries.

The National Cannabis Survey (NCS) 2023 is now available for download and can be accessed by researchers with approved projects.

The main objective of the National Cannabis Survey is to obtain detailed information about the habits of people who use cannabis, including cannabis purchasing and usage behaviours. The survey aims to understand how many Canadians use and do not use cannabis. Health Canada and other organizations will use the data to monitor changes in cannabis use.

The Canadian Health and COVID-19 Survey (CHCS) 2024 is now available for download and can be accessed by researchers with approved projects.

The Canadian Health and COVID-19 Survey (CHCS) is a crowdsource electronic questionnaire that used an experimental non-probabilistic method to collect important information about lasting general health problems and symptoms and about the long-term impacts of the COVID-19 pandemic.

The Criminal Justice Relational Database (CJRD) is a new platform consisting of integrated datasets which are accessible for research through Statistics Canada’s Research Data Centre (RDC) network. The CJRD is a tool to allow researchers to conduct statistical modeling to explore the demographic and socioeconomic factors associated with criminal justice involvement in Canada.

The Canadian Correctional Services Survey (CCSS) All Years is now available for download and can be accessed by researchers with approved projects.

The Canadian Correctional Services Survey (CCSS) is conducted by the Canadian Centre for Justice and Community Safety Statistics (CCJCSS), and is an administrative data survey that collects data electronically from correctional services programs in Canada. The survey collects data on the characteristics of persons being supervised, their legal hold status while in correctional services, offences and conditions related to the various court orders, events related to the person that occur during the period of supervision, and results of any needs assessments done on persons while in correctional services. CCSS data requirements were developed with the assistance of representatives from correctional service programs in Canada and other federal and provincial government departments responsible for the administration of justice.

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 anonymized, 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 anonymous identifiers that allow the merging of variables at the person level between files.

New CJRD data linked to hospitalization, education, census, and tax data is now available in Research Data Centres across Canada.

The CJRD has produced new concordance files:

Concordance files:

• CJRD linked to hospitalization data
  • ICCS – 2020/2021 and CCSS 2021/2022 – DAD, NACRS, OMHRS - 2020/2022
• CJRD linked to education data
  • ICCS – 2020/2021 and CCSS 2021/2022 – PSIS, RAIS - 2020/2021
• CJRD linked to Census data
  • ICCS – 2020/2021 and CCSS 2021/2022- Census - 2006, 2016, NHS – 2011
• CJRD linked to tax data
  • ICCS – 2020/2021 and CCSS 2021/2022- T1FF 2021

The CJRD consists of three types of files: Core Datasets, Supplementary Datasets, and Concordance Key Files.

• Core Datasets constitute the base of the CJRD. They are longitudinal, administrative criminal justice system surveys and are updated annually. Core Datasets currently include the Integrated Criminal Court Survey (ICCS) from 2005/2006 to 2020/2021 and the Canadian Correctional Services Survey (CCSS) from 2015/2016 to 2021/2022. The ICCS includes information on appearances, charges, and cases in youth courts and adult criminal courts from all provinces and territories across Canada. The CCSS collects data from correctional services across Canada, including characteristics of persons being supervised and their legal hold statuses. The CCSS Core Dataset includes data on adult correctional records from five provincial correctional programs: Nova Scotia, Ontario, Saskatchewan, Alberta, and British Columbia.
• Supplementary Datasets are special extracts from non-criminal justice datasets that are not already available in the RDCs in their full form. They contain only records that linked to one of the Core Datasets and may be updated annually or less frequently. Supplementary Datasets include special extracts from the T1 Family file (T1FF) from 2002 to 2021, the National Ambulatory Care Reporting System (NACRS) from 2005/2006 to 2020/2021, the Discharge Abstract Database (DAD) from 2005/2006 to 2020/2021, the Ontario Mental Health Reporting System (OMHRS) from 2006/2007 to 2020/2021, and the Longitudinal Immigration Database (IMDB) from 1980 to 2022. The T1FF Supplementary Dataset includes select variables on income, employment, and family composition. The NACRS, DAD, and OMHRS Supplementary Datasets include all releasable variables collected by those administrative surveys, including information on the use of medical emergency rooms and ambulatory services, discharges from acute inpatient institutions, and visits to select psychiatric institutions. The IMDB Supplementary Dataset includes only the landing date and the first permit effective date for permanent and non-permanent residents, respectively.

Concordance Key Files allow the Core Datasets to be integrated with non-criminal justice datasets that are already published in the RDCs in their full form. Each Concordance Key File contains only the record identifiers required to merge one of the Core Datasets with one additional target dataset. Concordance Key Files are provided to allow the Core Datasets to be integrated with the Canadian Vital Statistics -Deaths (2005 to 2020), the Postsecondary Student Information System (2008/2009 to 2020/2021), the Registered Apprenticeship Information System (2008 to 2021), the 2006 Census of Population Long-Form, the 2011 National Household Survey, and the 2016 Census of Population Long-Form.

The 2016 Canadian Census Health and Environment Cohort (CanCHEC) (019-2019) is a population-based probabilistically linked data set that follows individuals from a sample of approximately 25% of Canadian households that responded to the 2016 Census of Population long-form questionnaire.

CanCHEC 2016 has produced additional concordance and new integrated files:

Concordance files:

• CanCHEC 2016
  • CCR-IARC-Keys
  • CCR-SEER-Keys

Integrated files:

• CanCHEC 2016 – CCR- SEER 1992-2021
• CanCHEC 2016 – CCR – IARC 1992-2021

About Data

• The 2016 CanCHEC has been linked to the Canadian Cancer Registry (January 1, 1992 to December 31, 2021). Note here that cancer incidence data from Quebec are not part of the CCR after the diagnosis year 2017. Data for Nova Scotia are not available for the 2020 and 2021 diagnosis years. For the 2016 CanCHEC, data for Newfoundland and Labrador are excluded for the diagnosis year 2021.

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.

New Canadian Birth-Census Cohort (CanBCC) 2016 linked to T1FF, is now available in Research Data Centres across Canada.

The primary purpose of the Canadian Birth-Census cohorts (CANBCC) is to add long-form Census information to births, stillbirths and infant deaths in Canada, including socio-economic information about the parents, to study the associations between these characteristics and birth and perinatal outcomes. The cohorts are based on the intersection between in-scope births (those occurring in the two years prior to Census Day) and the Census long-form sample. There is a 1996 CANBCC, a 2006 CANBCC and a 2016 CANBCC. The 2016 CANBCC also includes a linkage with the T1 Family File (T1FF), for the 2010 to 2017 tax years.

The Longitudinal Immigration Database (IMDB) combines linked administrative immigration and tax data files. It is a comprehensive source of data on the socio-economic outcomes of the immigrant taxfiler population in Canada.

The IMDB has produced the following updates:

New file released:

• Express Entry IMDB 2022

New document:

• Introduction to the IMDB Express Entry file 2022

Coverage:

The Longitudinal Immigration Database (IMDB) includes data on immigrants admitted through the Express Entry1 (EE) application management system. For details on the IMDB please refer to the Longitudinal Immigration Database (IMDB) Technical Report, 2022 and the IMDB web page.

Express entry is an application process for economic immigrants who want to settle in Canada permanently and take part in our economy. This selection process was launched on January 1 2015, and the first draw (to select qualified permanent residents) was on January 31, 2015.

The Canadian Social Survey - Quality of Life, Health and Compassionate Communities (CSS-QLHCC) (CSS12) (CSSW4 2023) is now available for download and can be accessed by researchers with approved projects.

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).

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.

The ELMLP has produced new cohort files and updated documentation:

Cohort files:

• RAIS 2022

Documentation updates:

• T1FF dictionary 1992_2021

Updates to the Canada Emergency Response Benefit (CERB), are now available in Research Data Centres across Canada.

Statistics Canada and the Employment and Social Development Canada (ESDC) are pleased to announce the availability of the updated analytical files featuring information on the Emergency and Recovery Benefits (ERB) recipients’ records combined with administrative, census and survey data.

The available microdata contains de-identified client-level administrative information such as the amount of benefits received and the number of weeks of receiving benefits from the following ERB programs:

• Canada Emergency Response Benefit (CERB) – March 2020 to September 2020
• Canada Recovery Benefit (CRB) – September 2020 to October 2021
• Canada Recovery Sickness Benefit (CRSB) – September 2020 to May 2022
• Canada Recovery Caregiver Benefit (CRCB) – September 2020 to May 2022
• Canada Emergency Student Benefit (CESB) – May 10 to August 29, 2020
• Canada Worker Lockdown Benefit (CWLB) – October 24, 2021 to May 7, 2022

The following tax-derived and geographical variables are also available for the recipient and non-recipient population:

• Income class;
• NAICS industry code, employer size class;
• Age, sex, disability status, marital status, presence of children; and
• Geographical location

If required for approved analytical projects, subsequent linkage keys would allow mapping of the Emergency and Recovery Benefits records as described above to only one other type of data source at a time among the following:

• Census: 2021 Census of Population Long Form, which collects information on the demographic, social and economic situation of people across Canada, and the dwellings they live in;
• Canadian Survey on Disability: A national survey that collects information about the lived experiences of youth and adults whose everyday activities may be limited due to a long-term condition or health-related problem;
• Canadian Income Survey: A survey that provides information on the income and income sources of Canadians, along with their individual and household characteristics;
• Labour Force Survey: A monthly survey which measures the current state of the Canadian labour market and is used, among other things, to calculate the national, provincial, territorial and regional employment and unemployment rates;

Longitudinal Immigration Database: A database that provides detailed and reliable information on socioeconomic outcomes of immigrants after their admission, such as employment income and mobility.

Updates to the Mother Centric Linkages are now available in Research Data Centres across Canada.

This record linkage project used the information from the Canadian Vital Statistics Birth Database (CVSB) and the Canadian Vital Statistics Stillbirth Database (CVSS) to create a cohort of mothers (Mothers File). The Mothers file were first linked to the Derived Record Depository (DRD) in the Social Data Linkage Environment (SDLE) then to the T1 Family file (T1FF), the Longitudinal Immigration Database (IMDB), the Discharge Abstract database (DAD), the National Ambulatory Care Reporting System (NACRS), the 2016 Census of population (Long Form) and the Canadian Vital Statistics - Deaths Database (CVSD).

Data Contents:

The MC linkage contains the following datasets:

• CVSB to CVSD 2010-2020
• CVSB to CVSS 2010-2020
• CVSB to DAD 2010-2020
• CVSB to NACRS 2010-2020
• CVSB to T1FF 2010-2020

The MC linkage contains the following concordance files:

• CVSB to IMDB 2021

CVSB to Census 2016

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 platform permits the use of the ONT 9-12 data with other ELMLP-integrated data sources in the RDCs.

ONT 9-12 has produced the following update:

New document:

• Codebook

The Ontario 9-12 student data codebooks were updated to add the following note about usage:

The intent behind this document is to assist researchers working with ELMLP data either at Statistics Canada or at the Research Data Centers. Since it does not contain any confidential information, it can be shared outside of Statistics Canada and its Research Data Centers, but it should not be promoted as an official document. It can be sent to researchers, but it should not be posted on any external website or other similar forums. It is subject to change over time.

Additional 2017 T1FF caregiver credit variables for the Longitudinal and International Study of Adults (LISA) are now available for download and can be accessed by researchers with approved projects.

Additional 2017 T1FF caregiver credit variables for the LISA

June 2024

This file allows researchers with access to the Longitudinal and International Study of Adults (LISA) to access two additional T1 Family File (T1FF) variables from 2017 which were not included in the LISA-T1FF files until the 2018 reference year. The two variables are: CCCAMC (line 304) and CCCODC (line 307). Using the file, CCCAMC and CCCODC can be integrated with the LISA RDC files using PERSONID.