New Data Available

The Labour Force Survey (LFS) Rent File – Rebased is now available for download and can be accessed by researchers with approved projects.

To ensure that the LFS reflects current labour market conditions as accurately as possible, data are revised following each census to reflect the most recently available population estimates, geographic boundaries, and industry and occupation classifications. This standard revision process results in minor changes to recent and historical LFS data and has little impact on trends in key labour market indicators, such as employment, unemployment, and labour force participation rates. Revised LFS data series for the period from 1987 to 2024 were released on January 24, 2025. For more information on the details of the revisions, please see The 2025 Revisions of the Labour Force Survey (LFS). 

LFS rent data have also been revised to reflect the most recently available population estimates and geographic boundaries. 

Summary of changes

• Control totals used in the calibration of the rent weights have been updated to use Census 2021 projections
• Census metropolitan areas (CMAs) used in the calibration of the rent weights and data processing are now based on the Standard Geographical Classification (SGC) 2021. 

The Canadian Income Survey (CIS) 2023 is now available for download and can be accessed by researchers with approved projects.

The Canadian Income Survey (CIS) is a cross-sectional survey developed to provide a portrait of the income and income sources of Canadians, with their individual and household characteristics.

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, disability, unmet health care needs, 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 (e.g. province/territory, census metropolitan area (CMA)) from the LFS. Tax data for income and income sources are also combined with the survey data.

The Survey on Giving, Volunteering and Participating (SGVP) 2023 is now available for download and can be accessed by researchers with approved projects.

The General Social Statistics Program (GSSP) has two main objectives: (a) to collect data on social trends in order to monitor changes in the living conditions and well-being of Canadians and (b) to provide updated information on particular social policy issues of current or emerging interest. 

As part of the GSSP, the 2023 Survey on Giving, Volunteering and Participating (SGVP) provides a comprehensive overview of the contributions Canadians have made by donating their time and money; it also provides data-driven information to the non-profit sector to help organizations strengthen their capacity for action, mobilize funds, recruit volunteers and manage their operations.

The Survey of Employers on Workers' Skills (SEWS) 2021 is now available for download and can be accessed by researchers with approved projects. 

The survey is designed to collect information from businesses on issues of skills requirements and skills development, as well as on the strategies deployed to mitigate the consequences of skill gaps within their businesses.

Statistics Canada, in partnership with Employment and Social Development Canada (ESDC), is conducting this business survey to capture information from employers on issues related to the demand for skills in the economy. The survey will primarily collect information on employers' skills needs and skills gaps as well as their human resources management practices, work organization, training programs, and talent recruitment and retention programs.

The data collected will be used to support ESDC's policies and programs pertaining to skills and training needs of Canadian employers. As well, the collected information and in particular the prevalence of skill gaps across industry and firm size classes, is important in order to stimulate policy actions to address pressures and imbalances in the labour market.

The National Travel Survey (NTS) 2022 and 2023 is now available for download and can be accessed by researchers with approved projects. Additionally, the folder structure and contents for NTS have been updated to reflect the new bundled (“all years”) approach for granting access.  

The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism.

The NTS, sponsored by Statistics Canada, aims to measure the characteristics and the economic impact of the tourism activities of Canadian residents. The objectives of the survey are to provide information about the number of trips and expenditures by Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. From a macroeconomic point of view, the NTS measures the domestic and international tourism demand by Canadian residents.

The Canadian Survey on Interprovincial Trade (CSIT) 2023 is now available for download and can be accessed by researchers with approved projects. 

The objective of the survey is to collect data on the trade of goods and services across provincial and territorial borders, as well as labour mobility in Canada. It collects information on the obstacles faced by businesses engaged in interprovincial trade activities, the reasons why other businesses choose not to trade goods or services across provincial or territorial borders, and the challenges associated with hiring individuals with certifications or licences granted by another province or territory.

Statistics Canada is conducting this survey in collaboration with the Privy Council Office to better understand the difficulties faced by businesses conducting interprovincial trade, as well as the reasons why other businesses do not conduct interprovincial trade. It is important to have real data on the state of interprovincial activities to better understand the trends and prospects for a range of businesses in Canada. Various government departments will use this information to recommend policy changes to facilitate interprovincial trade in Canada.

The Innovation in the Food Processing Industry Survey (IFPI) 2023 is now available for download and can be accessed by researchers with approved projects. 

The objective of this survey is to collect new statistical information on the nature and extent of product, process, marketing and organizational innovations in the Canadian food processing industry and on other emerging issues in the food processing industry.

Statistics Canada conducts the Survey on Innovation in the Food Processing Industry in collaboration with Agriculture and Agri-food Canada to collect new statistical information in the food processing industry. The data collection focuses on:

• The nature, extent, challenges, and benefits of innovation in the Canadian food processing industry;

• The use of government support programs and efforts to raise capital for innovation;

• Research and developments activities in the industry;

• Unusable food parts and unmarketable food products; and

• Private certification systems.

The Record of Employment (ROE) 2024 is now available for download and can be accessed by researchers with approved projects.

What does the 2024 file contain?

The ROE 2024 file contains all records of employment (ROE) submitted to Service Canada between January 1987 and May 2024. Researchers should note that data for job separations in the months before the May 2024 extraction may not be fully captured due to a delay between the job separation and the filing of the ROE.

The ROE data contains person-level information from ROE forms. The ROE form—whether electronic or paper—is the form that employers complete for employees who stop working for various reasons, including retirements, quit, job loss. Employers may not issue a ROE in all cases. But for employees who experience an interruption of earnings and want to claim Employment Insurance (EI), the ROE is a mandatory document. Recently, more ROE forms are completed electronically, either through Secure Automated Transfer, or ROE web application. The remaining forms are completed using paper copies.

The ROE data provides longitudinally linkable information on individuals' job separations over the period from 1987 to the most recent update, for policy analysis, research, and evaluation activities. Such activities foster the development and implementation of federal labour market and income related policies and programs in an effective manner, and consistent with national goals.

The EI program provides temporary income support to unemployed workers while they look for employment or upgrade their skills. It also provides special benefits to workers who take time off from work in relation to specific life events (e.g., illness; pregnancy; and caring for a newborn, newly-adopted or critically-ill or injured child or adult). Workers receive EI benefits only if they have paid premiums in the past year and meet qualifying and entitlement conditions. Self-employed workers may participate in EI and receive special benefits. For more information, please refer to the most recent EI Monitoring and Assessment Report. 

The ROE includes very limited information on EI claims. Please refer to the Employment Insurance Status Vector and the Employment Insurance Beneficiaries data for detailed information on beneficiary records.

The Medical Assistance in Dying (MAID) 2022 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, 2021, and 2022 calendar years. Health Canada has provided Statistics Canada with an updated version of the 2022 MAID. Outputs requested for release for 2022 need to be created using the most recent version of the 2022 data available in MAID ALL Years folder. 

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

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

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 platform permits the use of the ONT 9-12 and ONT 9-12 T1FF data with other ELMLP-integrated data sources in the RDCs.

Corrections to the ONT 9-12 data are now available for download and can be accessed by researchers with approved projects.

Please be advised that a processing error has been found and corrected in the version of the Ontario Grade 9-12 data that were released in spring 2025. This error affected the 2011/2012 and 2012/2013 cohorts in the Grade 9 file only. There were 103 variables that were miscoded (given the wrong name) in these years, starting with the PSE_REGISRATION_TYPE variable. Statistics Canada has corrected the issue. 

The Ontario Ministry of Education has also corrected/updated a selection of variables. 

The following variables in the Grade 9 file were updated for the 2015/2016 cohorts only:

• GRD6_EQAO_MATH
• GRD6_EQAO_WRITING
• GRD6_EQAO_READING 
  
   

The following variables in the Grade 12 file were updated:

• GRADE12_ENG_FRA
• GRADE12_ENG_FRA_MARK_RANGE  
• MEL4E
• MEL4E_MARK_RANGE
• MCT4C
• MCT4C_MARK_RANGE
• MHF4U
• MHF4U_MARK_RANGE
• MCV4U
• MCV4U_MARK_RANGE
• MDM4U
• MDM4U_MARK_RANGE
• MAP4C
• MAP4C_MARK_RANGE
• MBF3C
• MBF3C_MARK_RANGE
• MCF3M
• MCF3M_MARK_RANGE
• MCR3U
• MCR3U_MARK_RANGE
• MEL3E
• MEL3E_MARK_RANGE
• Gender
• Number_of_Credits_Attempted
• PLAR_Credits_Earned
• Number_of_Credits_Earned

Data users may now use the updated files. We apologize for the inconvenience this may have caused.

To apply for access to microdata, please use the Microdata Access Portal (MAP).

This data release includes non-confidential documentation that can be provided to researchers outside an RDC. Please contact your local RDC Analyst if you would like a copy.

Guidance for Researchers:

1. It is recommended that researchers use the latest version of ONT 9-12 microdata for their analyses. Users should closely examine all estimates calculated using the impacted variables. We recommend that you return to the RDC or FRDC to compare your existing tables and analyses against the tables and analyses with the revised data. Depending on the nature of your analysis and how the variables were used, you may find that the error does not have an impact on your research. If, however, you do identify a substantive difference in the tables and analyses due to the incorrect coding of the variables, and would like to revise your work, your RDC Analyst will be able to advise you on the steps to follow.

2. For anyone who is unable to revise their work but needs information to share with reviewers or anyone with whom you are communicating the results, you can provide this statement: A processing error was identified in the version of the Ontario Grade 9-12 data that were released in spring 2025. This error affected the 2011/2012 and 2012/2013 cohorts in the Grade 9 file only. There were 103 variables that were miscoded (given the wrong name) in these years, starting with the PSE_REGISRATION_TYPE variable. Estimates produced using these variables are inaccurate. Please use caution in the interpretation of estimates based on these variables. 

Updates to the Postal Code OM Conversion File Plus (PCCF+) Version 8B and 8C are 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 8C based on the 2021 Census.  This file reflects postal code data from the Canada Post Corporation up to and including December 2024.

The Postal Code ^OM Conversion File Plus (PCCF+) is a SAS© control program (including an accompanied R beta 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?

• Introduction of an R beta 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 2024). 

• Updated Health region correspondence file (September 2024).

Updates to the Longitudinal Immigration Database (IMDB) - 2023  are now available for download and can be accessed by researchers with approved projects.

The IMDB has produced the following updates:

New files released:

• Express Entry IMDB 2023
• Children’s module IMDB 2023
• Core IMDB 2023 updates

Update files released:

Express Entry Updates:

• The Express Entry file has been modified.

• The only change is that the variable lengths are significantly shorter. Specifically, character variables are now generally a length of 10 instead of the default 200.

• No new variables or records were added.

• The following changes to the Children’s module documentation have been made:

Children’s Module Updates:

1. Updated hyperlinks to technical report and IMDB web page

2. Updates variable list:

• Removed variable EDUDC

• Changed endpoint year of availability for some variables to 2016

3. Updated sample code to refer to the most recent IMDB file vintages.

Core IMDB Updates:

• The IMDB_T1FF 2018-2022 file has been updated. A few new variables were added, and some old variables were renamed to better align with the format of the data dictionary. No new records were added.
• The previous version of the PNRF_1952_1979 accidentally contained some duplicate records. These duplicates have been removed from the file.

The Survey of Innovation and Business Strategy (SIBS) 2022is now available for download and can be accessed by researchers with approved projects.

The Survey of Innovation and Business Strategy collects information on the strategic decisions, innovation activities, operational tactics and global value chain activities of businesses in Canada.

The Survey of Innovation and Business Strategy (SIBS) is a cross-economy survey of business enterprises and industrial non-profit organizations in Canada.

The concepts and definitions employed in the collection and dissemination of innovation data are provided in the Oslo Manual: Guidelines for Collecting and Interpreting Innovation Data, 4th Edition (Organisation for Economic Co-operation and Development, [OECD and Eurostat, 2018]). According to the manual:

"An innovation is a new or improved product or process (or combination thereof) that differs significantly from the unit's previous products or processes and that has been made available to potential users (product) or brought into use by the unit (process)."

The SIBS collects complementary qualitative business information, including market characteristics, use of advanced technologies, business strategy, business practices and participation in global value chains. The survey also collects quantitative information on total sales, innovation expenditures, purchase of goods and services and personnel, supplemented by percentage distributions by specified subgroups.

Reference period: The innovation reference period refers to three calendar years (2020 to 2022).

Collection period: January through March of the year following the reference period.

The Annual Survey of Manufacturing and Logging Industries (ASML) 2023 is now available for download and can be accessed by researchers with approved projects.

The Annual Survey of Manufacturing and Logging Industries (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities as well as some sales offices and warehouses which support these establishments.

The details collected include principal industrial statistics (such as revenue, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed. Data collected from businesses will be aggregated with information from other sources to produce official estimates of national and provincial economic production for these industries.

Updates to the Industrial Product Price Index (IPPI) – AllYears are now available for download and can be accessed by researchers with approved projects.

The product description and product name variables were removed from the data set due to the basket updates. 

New Canada Education Savings Program (CESP) data linked to T1FF, Census of Population Keys 2021 and Longitudinal Administrative Databank are now available in Research Data Centres across 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.

The ELMLP has produced new cohort and concordance files:

Cohort files:

• CESP - 2023

Concordance files^[1] : 

Census linkage:

• CESP 2023 - Census 2021

LAD linkage:

• CESP 2023 - LAD 2022

T1FF linkage:

• CESP 2023 – T1FF 2022

Administrative data for the Canada Education Savings Program (CESP) for the period 1998 to 2023 are now available in the Research Data Centre (RDCs). These files replace any previous datasets and include historical updates. The CESP data files are available under the Education and Labour Market Longitudinal Platform (ELMLP). 

These data will allow research and analysis on the two education savings incentives administered by the CESP: the Canadian Education Savings Grant, and the Canada Learning Bond. For more information on these incentives, please consult https://www.canada.ca/en/services/benefits/education/education-savings.html

Updated data files include:

• cesp1998to2023_table_4 (Annual Contributions by Beneficiaries, Subscribers and Primary Caregivers)

• cesp1998to2023_table_5 (Annual Transaction Matrix by Beneficiaries) 

• cesp1999to2023_table_6 (Canada Learning Bond Years of Eligibility)

• T1FF97_22forCESP98_23_Ben; 
  T1FF97_22forCESP98_23_PCGSUB 
  (Subsets of the T1 Family File (income tax data) for tax years 1997 to 2022 - one file for CESP beneficiaries and one for their Primary Caregivers and Subscribers)

• cesp98_23_cen21_long_keys (Concordance key file between CESP individuals and the 2021 Census long-form questionnaire sample)

• cesp98to23_lad82to22_keys (Concordance key file between CESP individuals and the Longitudinal Administrative Database (LAD) to 2022).

   

The Education and Labour Market Longitudinal Platform (ELMLP) allows researchers to access and integrate anonymized information about past cohorts of students and registered apprentices, to better understand the pathways of students in Canada and how their education and training affects their outcomes and labour market earnings. This platform permits the use of the CESP data with other ELMLP-integrated data sources in the RDCs for research on these themes.

An updated 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-MAR2025
• SAFD 2006- MAR2025
• CIRC 2006- MAR2025

Updates to the Canadian Coroner and Medical Examiner Database (CCMED) linked to the Canadian Vital Statistics: Death (CVSD) are 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 (2006-2024)

• CVSD (2005-2023)

• CCMED-CVSD Linkage Keys

Corrections to the Canadian Income Survey (CIS): 2018 – 2022 Territorial Data are now available for download and can be accessed by researchers with approved projects.

1. The following information was added to the “Readme” files:

For CIS 2018 to CIS 2020, there can be duplicates between identifiers used in the provinces and identifiers used in the territories (e.g. MASTERID and PERSONID). As a result, it is preferable to keep territorial microdata files  separate from the provincial files.

The “Readme” and “Lisezmoi” files should be replaced under “Data” for all years (2018 to 2022).

Variable MBMREG18 was missing descriptions for MBM regions in the territories. Data dictionaries and layout files were updated for all years.

Updates to the Canadian Income Survey (CIS) linked to T1FF are now available in Research Data Centres across Canada.

Statistics Canada announces the release of updated analytical files for the project Food insecurity and income using the Canadian Income Survey (CIS) and T1 Family Files (T1FF).  For this project, a linkage was conducted between the Canadian Income Survey (CIS) and selected variables from the T1 Family File (T1FF) was performed. 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.

A linkage between the CIS and selected variables from the T1FF has been performed in two parts.

Part 1 linkage uses a single year of data from the CIS and the T1FF. The linkage structure is as follows:

-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

Part 2 is a five-year retrospective linkage, which has CIS 2018 to 2023 linked to T1FF for five previous years:

-CIS 2018 linked to T1FF 2013, 2014, 2015, 2016, 2017

-CIS 2019 linked to T1FF 2014, 2015, 2016, 2017, 2018

-CIS 2020 linked to T1FF 2015, 2016, 2017, 2018, 2019

-CIS 2021 linked to T1FF 2016, 2017, 2018, 2019, 2020

-CIS 2022 linked to T1FF 2017, 2018, 2019, 2020, 2021

-CIS 2023 linked to T1FF 2018, 2019, 2020, 2021, 2022

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.