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New Data Available

Below is a list of new data available in the RDC. This list is updated monthly, last on April 29, 2025.

Some data releases include non-confidential documentation that can be provided to researchers outside an RDC. Please contact us if you would like a copy.

For any data related questions, please contact us at rdc@uleth.ca or visit our new application and guidelines website to apply for microdata access at a Research Data Centre.


New Data

The Canadian Survey on Business Conditions (CSBC) 2023 is now available for download and can be accessed by researchers with approved projects.

The purpose of this survey is to collect information on businesses in Canada related to emerging issues. The survey focuses on business expectations and business conditions in Canada.

Information collected is intended to help governments, chambers of commerce, and business associations across Canada devise strategies and mechanisms to foster the survival and continuity of businesses in Canada.

The Programme for the International Assessment of Adult Competencies (PIAAC) 2022 is now available for download and can be accessed by researchers with approved projects.

The Programme for the International Assessment of Adult Competencies 2022 share file is now available in Research Data Centers. The data collected in 2022-2023 cover the assessment of literacy, numeracy and problem-solving skills.

The Program for the International Assessment of Adult Competencies (PIAAC) is a multi-cycle international program and an initiative of the Organisation for Economic Co-operation and Development (OECD), which aims to collect information on the competencies of adults in several countries, including Canada.  To access international content, please visit the OECD website at the following address:

PIAAC | OECD

The master file consists of:

  • A share file covering a sample of the working-age adult population in their homes to continue to assess their literacy, numeracy, and problem-solving skills.  The survey also collects information on the use of skills at work and at home and on a range of contextual factors, such as demographics and educational background, and economic and social outcomes, such as occupation, wages, and health.  New socio-emotional skills will also be measured, in order to get a better understanding of individual attributes such as conscientiousness, open-mindedness and self-efficacy.
  • A data dictionary for the Programme for the International Assessment of Adult Competencies 2022 share file.
  • A user guide with 7 appendices, record layouts and syntax files for the Programme for the International Assessment of Adult Competencies 2022 share file.

The Canadian Coroner and Medical Examiner Database (CCMED) linked to the Canadian Vital Statistics: Death (CVSD) is now available in Research Data Centres across Canada.

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.

The CVSD is an administrative survey that collects demographic and medical (cause of death) information annually and monthly from all provincial and territorial vital statistics registries on all deaths in Canada.

Data Contents: 

  • CCMED (2006-2022)
  • CVSD (2006-2022)
  • CCMED-CVSD Linkage Keys

New Longitudinal Administrative Databank (LAD) data linked to T1FF Schedule 3 (Capital Gains/Losses), is now available in Research Data Centres across Canada.

Only a portion of capital gains is taxed, and this portion varies over time. In year 2000, the Canada Revenue Agency applied three different inclusion rates for taxing capital gains: 75%, 66.6666%, and 50%. These rates were based on the timing of when the capital gains or losses were realized: before February 28, 2000; between February 28, 2000, and October 28, 2000; and after October 28, 2000. The new LAD-DAL-T1FF-S3-2000 dataset estimates total capital gains and losses using these three inclusion rates and periods. In contrast, in the LAD main file, the total net capital gains and losses are calculated for year 2000 using a single inclusion rate of 50%. Therefore, the LAD-DAL-T1FF-S3-2000 dataset can help provide a more precise estimate of the total net capital gains and losses for the year 2000.

The LAD-T1FF-S3-2000 dataset only contains data on capital gains and losses using the three different inclusion rates and periods for year 2000. It needs to be used in conjunction with the LAD All Years data for year 2000, when a researcher wants to add precision to estimates of total net capital gains and losses for year 2000. 

The Canadian Oral Health Survey (COHS) Cycle 1: 2023-2024 is now available for download and can be accessed by researchers with approved projects.

This survey gathers information on Canadians' oral health, including their ability to pay, challenges and experiences with the oral health care services, and care needs. Additionally, the survey collects information on knowledge of publicly funded oral health programs and access to dental care expenses and insurance coverage to better understand the state of oral health.

Statistics Canada and Health Canada have partnered to conduct the Canadian Oral Health Survey (COHS) with the shared goal of understanding the oral health of Canadians. The COHS is gathering information related to oral health, including individuals' ability to pay for oral health care, experiences with the oral health care system, challenges finding oral health services, and care needs.

The Survey Series on First Nations People, Métis and Inuit, Wave 1 – Health Care Access and Experience is now available for download and can be accessed by researchers with approved projects.

The Survey Series on First Nations People, Métis, and Inuit is a panel of short surveys on First Nations people living off reserve, Métis and Inuit who had previously agreed to participate in follow up surveys. This is the first time that Statistics Canada is using panel surveys to collect data from First Nations people living off reserve, Métis, and Inuit. An important goal of the Survey Series on First Nations People, Métis and Inuit is to collect relevant data in a timely manner to support the development of new policies or programs for First Nations people living off reserve, Métis and Inuit.

Updated Data

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

  • New CHS historical address data (2021 and 2022) is now available

Updates to the Canadian Health Survey on Children and Youth (CHSCY) 2023 are now available for download and can be accessed by researchers with approved projects.

What’s New

  • Very small update in the wording of the specs for 2 Gender derived variables.
  • DV Specs were updated as well as the codebooks

The Education and Labour Market Longitudinal Platform (ELMLP) allows researchers access to information about past cohorts of college/university students and registered apprentices, to better understand pathways of post-secondary students in Canada and how their education and training affected their career prospects and earnings. 

The ELMLP has produced an update to a cohort file:

Update of cohort file: 

  • Post-Secondary Information System (PSIS) – 2004/2022

Corrections and updates to the General Social Survey (GSS) Cycle 37 - Time Use Survey 2022 are now available for researchers with approved projects.

2022 Time Use Survey – Analytical file

Addendum – April 2025 

Please note the following changes and updates:

  • The vetting rules have been updated.
  • Changes to variables:
    • FAMINC and INC: New variables on the family income (FAMINC) and personal income (INC) of the respondent have been added. These variables are derived from a record linkage with administrative data from the T1 Family File from 2022.
    • PRTYPE / COUPGEN2: The variable PRTYPE has been replaced by COUPGEN2. This updated variable uses information on the gender of the respondent and their spouse/partner (GENDER2 and GENPR2) to align with standards around reporting gender and sex at Statistics Canada.
    • ACT7DAYS: A change was made to the categories in the derived variable, but not the original data. In the previous file, respondents who indicated their main activity in the past week was maternity or parental leave were included in the category “Other” (6). To be consistent with other variables such as MRW_05 and MRW_15, these cases are now coded as “working at a paid job or business” (1).
    • CTW_150: Two cases had erroneous values of 997 mistakenly assigned during processing. These values have been updated to not stated (999).
    • REW_20 and REW_30: These variables have been removed from the file. All information in these variables is included in the derived variable AGE_LSWK.
    • TUI_06A-TUI_06J: Several episodes were mistakenly coded as “not stated” (9) rather than “no” (2) and have been updated; this does not affect any variables related to duration.
    • WLY_170A and WLY_170B. These variables have been removed from the file. All information in these variables is included in the derived variable WLY_D170.
    • WET_110: Several cases had a value of zero (0), which is not possible in the data given other information. These cases have been recoded to not stated (9).
    • WHW_210: Several cases had a value of zero (0), which is not possible in the data given other information. These cases have been recoded to not stated (9).

Updates to the Canadian Armed Forces Health Survey (CAFHS) - 2019 are now available for download and can be accessed by researchers with approved projects.

Changes to the 2019 CAFHS Data File

The CAFHS 2019 data file has been revised to better align with departmental standards surrounding the dissemination and analysis of sex and gender variables. Specifically, the variable DMI_05 was replaced with GENDER2. 

In addition to these changes, a new derived variable was added to the file, DMID13B groups certain command units to better support the analysis of these groups.

Value

Description

01

Royal Canadian Air Force

02

Canadian Army

03

Royal Canadian Navy

04

Military Personnel Command (MPC)

05

Other

96

Valid skip

99

Not stated

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