New Data Available
Below is a list of new data available in the RDC. This list is updated monthly, last on June 2, 2026
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 Cancer Registry linked to Canadian Vital Statistics Death data and T1PMF is now available for download and can be accessed by researchers with approved projects.
The Canadian Cancer Registry (diagnosis years 1992 to 2021) linked to the Canadian Vital Statistics Death data (1992 to 2021) and death information from the T1 Personal Master File, is now available for access at Research Data Centres (RDC).
Updates to the Canadian Cancer Registry linked to Canadian Vital Statistics Death data and T1PMF are now available for download and can be accessed by researchers with approved projects.
The CSV dataset “ccr_cvsd_t1pmf_death_92_21_expected_survival_f3_t7_v1.csv” provides users with Canadian estimates of the expected probability of surviving a specific age by calendar year, province/territory of residence and sex, for the calculation of relative or net survival.
The Canadian Cancer Registry (CCR) - International Agency for Research on Cancer (IARC) 2023 is 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 (StatCan) by each provincial/territorial cancer registry (PTCR). 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 Postal Code OM Conversion File Plus (PCCF+) Version 8D is now available for download and can be accessed by researchers with approved projects.
This is the official release of the Postal Code OM Conversion File Plus (PCCF+) version 8D based on the 2021 Census. This file reflects postal code data from the Canada Post Corporation up to and including December 2025.
The Postal Code OM Conversion File Plus (PCCF+) is a SAS© control program (including an accompanied R gamma version) and set of associated datasets derived from the Postal Code OM Conversion File (PCCF), a postal Code OM population weight file, the Geographic Attribute File, Health Region boundary files, and other supplementary data. PCCF+ automatically assigns a range of Statistics Canada’s standard geographic areas and other geographic identifiers based on postal codes. The PCCF+ differs from the PCCF in that it uses population-weighted random allocation for postal codes that link to more than one geographic area.
What’s new?
- Inclusion of an R gamma version.
- Support for multiple input (SAS, CSV, txt, R) and output formats (CSV or R).
- Customizable output to select specific variables of interest.
- Modular program structure for easy troubleshooting and debugging.
- Inclusion of a sample data for testing purposes.
- The postal code reference date includes postal codes up to December 2024.
- Updated air stage offices (December 2025).
- Retained the Health region correspondence file (September 2024) due to availability as of time of release.
- The user front-end is now limited to user-input steps, and the non-editable steps in both SAS and R are now callable within the program, and are stored in the respective DATA folder
Previously noted truncations in the R beta version (such as DAUID, and CTname) has been fixed.
The CCHS 2024 Rapid Response - Smoking - stages of change 2 (SCH2) and Tobacco alternatives products (TAL) is now available for download and can be accessed by researchers with approved projects.
These files are part of the rapid response component of the Canadian Community Health Survey. It contains data collected from January to December 2024, with content on smoking - stages of change and tobacco alternatives products.
Updated Data
Updates to the National Travel Survey (NTS) are now available for download and can be accessed by researchers with approved projects.
Updates:
- Non confidential documentation is now available.
Updates to the Canadian Community Health Survey (CCHS) - Annual Component 2023-2024 are now available for download and can be accessed by researchers with approved projects.
The new files represent the household level weights for the 2023/2024 CCHS files, both the record level household weight (in the file HS_HHWT) and associated bootstrap household weights for variance estimation (in the file BSW_HH). Record layouts are provided in SAS and SPSS formats. Additionally, a document ‘CCHS_2023-2024_Household_Weights.pdf’ has been added to elaborate on the use of these weights for analysis.
Updates to the Canadian Health Measures Survey (CHMS) Cycle 7 are now available for download and can be accessed by researchers with approved projects.
New data included in this release:
This file includes data for non-environmental laboratory results (e.g. CBC blood panel, chemistry panel) for the full* sample as well as the lab-specific full sample weight (wgt_lab).
- Environmental lab full sample (el_full)1
This file includes data for environmental laboratory results (e.g. metals and trace elements) for the full* sample as well as the lab-specific full sample weight (wgt_lab).
- Fasted subsample (fast_sub)
This file contains data for a subset of CHMS respondents, namely the selected respondents who fasted for a minimum of 8 hours. The file contains data for insulin, low density lipoproteins (LDL), apolipoproteins A1 and B, and red blood cell fatty acids and its calculated variables as well as a subsample weight.
- Tap water fluoride – person-level (wflp_full)1
This file contains data for fluoride measured in tap water for the full* sample as well as the lab-specific full sample weight (wgt_lab).
- Tap water fluoride – household-level (wflh_full)
This file contains data for fluoride measured in tap water for each household that participated in the survey, as well as the household-specific weight.
- Environmental subsample (el_sub)
This file contains data for a subset of CHMS respondents that were selected for the environmental main subsample. It includes data for several environmental contaminants in blood or urine as well as a subsample weight.
- Environmental blood subsample (eb_sub)
This file contains data for a subset of CHMS respondents that were selected for the environmental blood subsample. It includes data for chlorinated paraffins as well as a subsample weight.
Updated data included in this release:
- Agw_sub
the wgt_am variable on this file has been corrected; this may have a slight impact on estimates if this weight variable had been used previously. However, if the user used the wgt_am from the wgt_am file, there should not be any effect.
- Clc_full
corrections were made to the non-response codes for the FSF block (no effect on true response values) and two missing variables were added: MED_410 & MED_411
- Hhd_full & oh_ns
corrections were made to the non-response codes for ETV_005 (the response "Never" had previously been incorrectly coded as non-response) and ALWM_50 (no effect on true response values)
Although these datasets are not subsamples, a separate weight (wgt_lab) was created for the analysis of the full sample laboratory datasets, because blood and urine samples were not collected in Site 1.
Updates to the Canadian Housing Statistics Program (CHSP) 2019, 2020 and 2021 are now available for download and can be accessed by researchers with approved projects.
Today, the Canadian Housing Statistics Program is releasing data on residential property sales and buyers for the reference years 2019, 2020, 2021. These data are based on the Standard Geographical Classification (SGC) 2016. Geographic coverage varies by reference year.
- 2019: Nova Scotia, New Brunswick and British Columbia.
- 2020 and 2021: Nova Scotia, New Brunswick, Manitoba, British Columbia, Yukon.
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 updated concordance and updated alternative weight files:
- PSIS - 2023/2024 and RAIS – 2024 to Census 2016
- PSIS - 2023/2024 and RAIS – 2024 to Census 2021
- PSIS - 2023/2024 and RAIS – 2024 to EISV
- PSIS - 2023/2024 and RAIS – 2024 to IMDB
- PSIS - 2023/2024 and RAIS – 2024 to LAD
- PSIS - 2023/2024 and RAIS – 2024 to T1FF 2023
- PSIS - 2023/2024 and RAIS – 2024 to T1FF PI 2023
Alternative Weight files:
- PSIS - 2023/2024 and RAIS – 2024 to Census 2016 alternative weight
- PSIS - 2023/2024 and RAIS – 2024 to Census 2021 alternative weight
- PSIS - 2023/2024 and RAIS – 2024 to Census 2016-2021 pooled alternative weight
Several data files and associated documentation within the Education and Labour Market Longitudinal Platform (ELMLP) have been updated to reflect the most recent available reference years and are now available in the Research Data Centres (RDCs). These files, noted below, accompany the recently updated Postsecondary Student Information System (PSIS; up to 2023/2024) files and Registered Apprenticeship Information System (RAIS; up to 2024) files.
This year’s update includes new documentation outlining how the PSIS variables “Program type” and “Credential type” are combined to create “Educational Qualification of person”, which is used in Statistics Canada indicators. The documentation includes a concordance table and SAS code.
| File | New years added; updates |
| ELMLP data files | |
Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) linked to T1FF - All Years
This file contains records of selected variables from the T1 Family File (T1FF) associated with anonymous identifier keys that allow this data to be matched to PSIS and RAIS.
A supplementary variant of this T1FF file for PSIS and RAIS is also included that assists with analysis of parental income. | Updated to include data up to the 2023 tax year. The file is also updated with tax data for any new anonymous keys corresponding to the most recent years available of PSIS (2023/2024) and RAIS (2024).
The parental income variant of this T1FF file has also been updated to include these years. |
| ELMLP concordance key files and alternative weights | |
| Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) to Longitudinal Administrative Databank (LAD) concordance key file | Updated to include the most recent years of PSIS (2023/2024), RAIS (2024), and LAD (2023) keys. |
| Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) to Longitudinal Immigration Database (IMDB) concordance key file | Updated to include the most recent years of PSIS (2023/2024), RAIS (2024), and IMDB (2024) keys. |
| Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) to Employment Insurance Status Vector (EISV) concordance key file | Updated to include the most recent years of PSIS (2023/2024), RAIS (2024) and EISV (2024) |
| Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) to Census 2016 concordance key file | Updated to include the most recent years of PSIS (2023/2024), RAIS (2024) and Census 2016 long form keys. |
| Postsecondary Student Information System (PSIS) and Registered Apprenticeship Information System (RAIS) to Census 2021 concordance key file | Updated to include the most recent years of PSIS (2023/2024), RAIS (2024) and Census 2021 long form keys. |
Postsecondary Student Information System (PSIS) to Census 2016 alternative weights
Postsecondary Student Information System (PSIS) to Census 2021 alternative weights
Postsecondary Student Information System (PSIS) to Census 2016/2021 alternative weights for pooled analysis
3 sets of bootstrap weights that can be used for variance estimations while using the 3 types of alternative PSIS to Census weights above. | The PSIS to Census 2016 alternative weights have been updated to include the most recent year of PSIS (2023/2024).
The PSIS to Census 2016/2021 alternative weights for pooled analysis have been updated to include the most recent year of PSIS (2023/2024).
The 3 sets of bootstrap weights have been updated to include the most recent year of PSIS (2023/2024). |
Users of concordance key files will also need approved access to associated data files and documentation.
Further information on the ELMLP can be found in the ELMLP RDC User Guide and in the ELMLP Technical Reference Guide series.
Technical Reference Guides for the Education and Labour Market Longitudinal Platform (ELMLP) (statcan.gc.ca) https://www150.statcan.gc.ca/n1/en/catalogue/37200001
Updates to the Survey on Health Care Access and Experiences - Primary and Specialist Care (SHCAE-PSC) 2024 is now available for download and can be accessed by researchers with approved projects.
What’s New?
- Bootstrap weight data has been added.
Updates to the Canadian Income Survey (CIS) linked to T1FF are now available in Research Data Centres across Canada.
Statistics Canada announces the update of the analytical files for the project Food insecurity and income using the Canadian Income Survey (CIS) and T1 Family files (T1FF). In this project, a linkage between the Canadian Income Survey (CIS) and selected variables from the T1 Family File (T1FF) was performed. The objective is to identify the socioeconomic factors that contribute to food insecurity. The project is the result of a collaboration between the Centre for Housing and Income Statistics and the University of Toronto’s PROOF research program.
This release extends the existing linkages by including additional years of T1FF data and by incorporating the family‑level income variables FAFTNC and FAFTIC (please see the data dictionary for more information on variable descriptions).
The new linkage structure is as follows, with newly added linkages marked in bold:
Phase 1: single year of data from the CIS and the T1FF
- CIS 2018 linked to T1FF 2019
- CIS 2019 linked to T1FF 2020
- CIS 2020 linked to T1FF 2021
- CIS 2021 linked to T1FF 2022
- CIS 2022 linked to T1FF 2023
Phase 2: 6-year retrospective linkage
- CIS 2018 linked to T1FF 2013, 2014, 2015, 2016, 2017, 2018
- CIS 2019 linked to T1FF 2014, 2015, 2016, 2017, 2018, 2019
- CIS 2020 linked to T1FF 2015, 2016, 2017, 2018, 2019, 2020
- CIS 2021 linked to T1FF 2016, 2017, 2018, 2019, 2020, 2021
- CIS 2022 linked to T1FF 2017, 2018, 2019, 2020, 2021, 2022
- CIS 2023 linked to T1FF 2018, 2019, 2020, 2021, 2022, 2023
The analytical files available include selected variables from the T1FF and an anonymized key to join individual records to the CIS. The following information is available from each respective source of data:
- Canadian Income Survey provides information on the income and income sources of Canadians, along with their individual and household characteristics.
- T1 Family File provides information on sources of income (from the tax filers) and some demographic indicators (present for both tax filers and non‑filers); variables are derived primarily from income tax returns.
The update to the Survey on Giving, Volunteering and Participating (SGVP) 2023 is now available for download and can be accessed by researchers with approved projects.
Updates have been made to this product.
- Microdata files:
- MAIN
- Missing values for variables OG_060, OG_060A-C have been imputed. The respective imputation flags have also been added.
- GIVING
- No changes were made.
- User Guide :
- Corrected reference from Appendix C to Appendix B in section 9.3
- Codebook:
- Universe statements for variables IM_01B2, BRTHMACR, BRTHSUB, IM_02, YRARRI, AGEARRI and IM_03 are updated to read IM_01B = 2 or 9
- Universe statement for variable IM_04 is updated to read IM_03 = 1
- Universe statements for variables AGEPR, AGEPRGR5 and AGEPRDIFF are updated from “PHSDFLG = 1” to “MARSTAT = 1 or MARSTAT = 2”