This webinar, organized in partnership with the LIS Cross-National Data Center in Luxembourg, will provide an introduction to the use of the structured LIS database for the study of income concepts. This session will also demonstrate how to access and analyze data through the LIS Remote-Execution System “LISSY” with hands-on exercises using Stata to produce descriptive statistics and indicators.

Key topics include:

• Overview of the LIS database, including geographic and temporal coverage and variable content
• Selection of welfare measures in LIS database
• Accessing LIS data via the LIS Remote-Execution System, "LISSY"
• Practical exercises using Stata with LISSY to conduct basic statistical analysis
  • Producing basic descriptive statistics
  • Producing inequality and poverty measures

Speaker: Heba Omar, Assistant Director of Operations, LIS Cross-National Data Center in Luxembourg

To register for the English webinar, please fill out the following form:

• Wednesday, November 5, 2025, 10:00am - 11:30am PT / 11:00am - 12:30pm MT / 12:00pm - 1:30pm CT / 1:00pm - 2:30pm ET / 2:00pm – 3:30pm AT

To register for the French webinar, please fill out the following form:

• Friday, November 14, 2025, 6:30am – 8:00am PT / 7:30am - 9:00am MT / 8:30am - 10:00am CT / 9:30am - 11:00am ET / 10:30am - 12:00pm AT

Please Note: Registrations will close for the English session on October 15th, 2025, and for the French session on October 22nd, 2025.

About the LIS Cross-National Data Center in Luxembourg

The LIS Cross-National Data Center collects and harmonizes datasets containing information on income, employment, wealth, and demographics, spanning over 50 countries and over 1,000 country-year datasets from the 1960s to 2023. These datasets are made publicly available in two databases: the Luxembourg Income Study (LIS) and Luxembourg Wealth Study (LWS). They offer a unique comparative perspective on economic disparities across different countries and time periods, aiding researchers in uncovering the underlying drivers of these inequalities.

Introduction

The Labour Force Survey (LFS) is the source of Canada’s official unemployment rate and one of the primary sources of labour market information for Canadians and policy makers. Statistics Canada’s Centre for Labour Market Information is undertaking a series of studies to better understand respondent experience with the LFS. These studies are conducted in collaboration with the Privy Council Office’s Impact and Innovation Unit and will include one-on-one and group discussions with individuals who have recently completed their participation in the LFS.

Consultative engagement objectives

The engagement activity will gather feedback from those who had been selected to participate in the LFS to better understand their motivations for participation, barriers to timely participation and reactions to LFS communications. Topics of discussion will include trust in Statistics Canada, the clarity and tone of communication materials, and the usability of different survey completion modes. The findings will inform upcoming initiatives to enhance respondent experiences and lay the groundwork for future experiments and interventions aimed at improving survey operations.

How to get involved

Individuals who wish to obtain more information, can contact us at consultativeengagement-mobilisationconsultative@statcan.gc.ca

Statistics Canada is committed to respecting the privacy of consultative engagement participants. All personal information created, held, or collected by the agency is kept strictly confidential; it is protected by the Privacy Act. For more information on Statistics Canada's privacy policies, please consult the privacy notice.

Results

Summary results of the engagement initiatives will be published online when available.

Consultative engagement objectives

The Census of Environment (CoE) program is committed to providing comprehensive biophysical information on the extent and condition of Canada’s ecosystems, linking it to socio-economic data and informing Canadians about the many values of nature's ecosystem services This integrated approach is designed to support policy development and investment decisions at national, provincial, and regional levels.

As a relatively new program, the CoE would like to gather feedback on client satisfaction with its products and tools. This input will help assess the usefulness of the program’s outputs during its first five years and inform future planning and improvements.

As part of this initiative, an e-form was created to gather users’ perspectives, relevance, usability, accessibility, quality and impact of CoE products.

How to get involved

To provide your feedback on CoE products, please fill out the following e-form: Census Of Environment Feedback Form.

If you would like to obtain more information on this engagement initiative or are interested in participating, please contact us by email at consultativeengagement-mobilisationconsultative@statcan.gc.ca.

Statistics Canada is committed to respecting the privacy of consultation participants. All personal information created, held, or collected by the agency is kept strictly confidential; it is protected by the Privacy Act. For more information on Statistics Canada's privacy policies, please consult the privacy notice.

Results

Summary results of the engagement initiatives will be published online when available.

On this page

• Apply now for a census job!
• Local knowledge matters – be part of the 2026 Census
• Work that matters — Apply now!
• Jobs in select northern and remote communities for the 2026 Census!

Apply now for a census job!

The 2026 Census is coming soon, and Statistics Canada is hiring in select northern and remote communities.

Recruiting community members who know the people, the land and the language is key to a successful census – local knowledge makes a difference.

Census information is used to help plan services like employment, child care, education and health care. That’s why it’s so important that every community is counted.

Joining the census team is a great way for people to earn income while helping to shape their community’s future.

Apply now and tell a friend: census.gc.ca/jobs-north.

Local knowledge matters – be part of the 2026 Census

For the 2026 Census, Statistics Canada is hiring in select northern and remote communities. Local workers bring valuable insight related to the people, the culture, and the land.

This local knowledge is key to collecting accurate information that helps plan for essential services like child care, education, and health care.

Whether you're looking to broaden your skills, or earn extra income, a census job is a meaningful way to make a difference.

Apply now at census.gc.ca/jobs-north.

Work that matters — Apply now!

Statistics Canada is hiring in select northern and remote communities. From understanding the land to knowing the connections between families, local voices carry insights that can’t be found anywhere else.

Working on the 2026 Census is more than just a job — it’s a way to help ensure your community is accurately counted and represented.

Why census data matters

Accurate census data provides a clear picture of who lives in each community and what their needs are. Governments, community organizations, and service providers can use this information to plan and fund programs that support people where they live. Census data can help determine how many teachers and classrooms are needed, what health services and clinics should be available, how housing programs are funded, where to improve roads and transportation, and how to support language programs.

In northern and remote communities, accurate information is essential for planning for the future. That begins with local people leading the way.

If you are ready to take on work that matters, now is the time. Join the 2026 Census team.

Apply now at census.gc.ca/jobs-north.

Jobs in select northern and remote communities for the 2026 Census!

Are you looking for meaningful work that fits your schedule and can help make a difference in your community? Statistics Canada is hiring for the 2026 Census in select northern and remote communities.

By hiring local people who know the land, the language, and the community, the census can collect more accurate information that reflects the realities of northern and Indigenous communities. This information can help support planning for vital services such as employment, childcare, education, and healthcare.

Important to know

• Pay is $35.79 per hour for non-supervisory positions and $37.79 per hour for supervisory positions, plus authorized expenses.
• The timeframe for census jobs is from January to April 2026, depending on the position and location.
• You must be available to work flexible hours, including days, evenings and weekends.

Your contribution to the census can help your community plan and shape its future – apply now!

Apply now and tell a friend!
census.gc.ca/jobs-north

Statistics Canada’s use of generative artificial intelligence (GenAI) is governed in accordance with the Government of Canada’s Treasury Board Secretariat (TBS) policy and guidance on the responsible use of artificial intelligence (AI). For more information, consult the Guide on the use of generative artificial intelligence.

At Statistics Canada, we have embraced TBS’s guidance by embedding our use of GenAI within our own AI Strategy and a robust internal framework tailored to the sensitive and specialized nature of our statistical work. Statistics Canada’s strategy requires employees to adhere to clearly defined best practices, which are specific to our business needs. Employees must follow privacy and security protocols and seek approval before deploying new GenAI tools for production use.

Our approach includes

• mandatory staff validation and review of all GenAI-assisted outputs prior to publication
• enhanced privacy and data protection measures aligned with the Statistics Act
• clear documentation and approval processes for the adoption of new AI tools
• ongoing staff training and support for responsible AI use.

We are committed to transparency, responsible innovation and privacy protection in all our activities. Statistics Canada’s guiding principles and use of GenAI tools are continuously monitored and reviewed to remain relevant and reflect the evolving technology and regulatory landscape, ensuring that our practices meet the highest ethical and professional standards.

How Statistics Canada uses generative artificial intelligence

To improve efficiency and enhance our services, we may use government-approved GenAI tools to help create our information and communications products. All AI-assisted outputs are reviewed and validated by Statistics Canada staff before publication.

The following are examples of how we may use GenAI:

• drafting and editing reports and discussion papers
• editing documents to ensure plain and inclusive language
• conducting preliminary research and compiling a list of sources
• drafting presentations, outlines, speaking notes, meeting minutes and other written materials
• summarizing and organizing comments and feedback
• reviewing and summarizing research materials
• drafting and editing emails and messages
• translating brief text segments
• producing videos and images.

Protecting your privacy while using generative artificial intelligence tools

Safeguarding the privacy and confidentiality of all information entrusted to us is our highest priority. Statistics Canada is dedicated to upholding strict data protection standards and complying with all relevant legislation when using GenAI tools. Every use of AI respects our legal and ethical obligations, ensuring that no personal or sensitive data are exposed or misused during the process.

For more on how we protect your data and foster public trust, please visit the Trust Centre pages dedicated to privacy and confidentiality commitments.

Unlocking innovation through responsible artificial intelligence use

By embracing GenAI with a commitment to responsibility, we unlock opportunities to design innovative services that respond more precisely to the evolving needs of those we serve. Harnessing these advanced tools allows us not only to enhance the quality of our existing offerings but also to streamline processes, increase efficiency and deliver greater value to Canadians. Responsible integration of AI empowers us to adapt swiftly and thoughtfully, ensuring that new solutions remain aligned with our high standards of service and integrity.

September 18th, 2025 – The Canadian Statistics Advisory Council (CSAC) released its sixth annual report, Towards a Framework for Official Statistics in the National Statistical System today. As an independent body, CSAC provides impartial advice to the Chief Statistician and the Minister of Innovation, Science and Industry to help maintain the overall quality of the national statistical system.

This year’s report emphasizes the importance of establishing a national framework for defining and accrediting official statistics. Canada currently has no legislated definition of official statistics and no consistent process to accredit them. The Council warns that this lack of clarity can lead to uneven standards and methods across jurisdictions, making it harder for Canadians to identify and rely on trusted data. To address these gaps, the report recommends a clear legal definition, the creation of a federal accreditation process, and the development of a national repository that makes official statistics accessible, transparent, and easily understood.

The Council also highlights that enhancing public trust in data is more important than ever in the face of growing misinformation and disinformation. Clear communication and transparency about how official statistics are developed and how they benefit Canadians are essential aspects to maintaining confidence in the national statistical system.

Statistics Canada thanks the members of CSAC for their dedication and valuable insights. These recommendations align closely with the agency’s 2023–2026 Strategic Plan, reinforcing our commitment to fostering collaboration, enhancing data literacy, and ensuring that Canada’s statistical system continues to serve the evolving needs of Canadians.

André Loranger
Chief Statistician of Canada

Day 1: June 2, 2025, from 8:30am to 4:00pm

Attendance

CSAC Members

Dr. Howard Ramos (Chairperson), André Loranger, Catherine Beaudry, David Chaundy, Benoit Dostie, Annette Hester, Anke Kessler, Vinamra Mathur, Stephen Tapp, Rosemary Bender, Jan Kestle

Statistics Canada

Josée Bégin, Geoff Bowlby, Kathleen Mitchell, Katy Champagne, Jennifer Withington, Eric Rancourt, Étienne Saint-Pierre

Time	Agenda	Presenter(s)
8:30 – 8:50	Members meet-and-greet	All members
8:50 – 9:00	Chairperson introductory remarks	Howard Ramos Chairperson, CSAC
9:00 – 9:55	Update/Hot files from Chief Statistician	André Loranger Chief Statistician of Canada
9:55 – 10:15	Break
10:15 – 12:15	National Statistical System and Official Statistics	Presenters : Pierre Desrochers Director/Chief Privacy Officer, Office of Privacy Management and Information Coordination Antonio Bakopoulos Assistant Director, Office of Privacy Management and Information Coordination Guest: Tom Dufour Director General, Strategic Data Management Branch
12:15 – 13:15	Working lunch – Discussion on the Terms of Reference
13:15 – 14:55	Disseminating Statistics in the Age of AI: Where do we go from here?	Presenters: 1.Natasha Maheu Chief, Dissemination Division 2. Caroline Gravel Assistant Director, Dissemination Division 3. Glen Hohlmann Director, Dissemination Division Guests: John Beler Director, Communications and Promotion Division Geneviève Jourdain Director, Official Release, Publishing and Creative Services Division
14:55 – 15:15	Break
15:15 – 15:55	Roundtable discussion In camera	All members
15:55 – 16:00	Chairperson closing remarks	Howard Ramos Chairperson, CSAC

Day 1 Summary

1. Chairperson introductory remarks - Howard Ramos

Mr. Ramos opened the meeting by welcoming members and Assistant Chief Statisticians (ACS) and provided an overview of the meeting agenda.

2. Update/Hot files from Chief Statistician – André Loranger

Chief Statistician André Loranger briefed CSAC members on Statistics Canada's key priorities and challenges, including cross-border issues like Canada–U.S., forest fires, and the need for accurate trade data. He noted impacts of affordability concerns, demographic shifts, and the change in Canadian government, emphasizing these developments present an opportunity for the Agency to play an active role in supporting policy makers. He also highlighted efforts to prioritize programs and activities and implementing a clear vision for AI and data strategies. Mr. Loranger concluded with remarks on his recent nomination as Chair of the Conference of European Statisticians (CES).

Council members asked the Chief Statistician about the upcoming Census and whether the change in government might affect timelines. Mr. Loranger confirmed timelines remain consistent with previous iterations. Members also raised questions about the future of work at Statistics Canada, maintaining data efforts amid budget pressures, data sovereignty, and the responsible use of AI. Mr. Loranger reaffirmed the Agency’s leadership, the value of its data, and efforts to improve quality while controlling costs.

3. National Statistical System and Official Statistics – Pierre Desrochers

Mr. Desrochers presented briefs on the National Statistical System and Official Statistics, highlighting the importance of a well-functioning National Statistical System, along with challenges related to coordination, costs, legislative constraints, partnerships, and the need for strong leadership.

During the discussion, Council members and presenters emphasized the growing need to remove trade and data barriers between Canadian provinces. Additional points included the importance of Statistics Canada engaging more actively with citizens and private firms to enhance data quality, foster transparency, and ensure statistical programs remain relevant and responsive to societal and economic needs. The Council also noted that building a National Statistical System will require dedicated people, thoughtful planning, and sustainable funding.

Members reflected on the importance and the feasibility of developing a framework to support the formal definition of official statistics in the context of the Canadian National Statistical System. The discussions were inspired by peer jurisdictions such as Sweden, the UK, and Australia where structured legal and institutional models for managing official statistics, including national registers, accreditation protocols, and statutory designations.

The discussion concluded with consensus that collaboration between all provinces and Statistics Canada - with data flowing in both directions - is integral to a National Statistical System. The CSAC committed to reflecting on what was presented and will recommend a framework to Statistics Canada.

4. Working Lunch – Terms of Reference

Council members discussed the CSAC Terms of Reference to account for the temporary absence of the Chair.

5. Disseminating Statistics in the Age of AI: Where do we go from here? - Natasha Maheu / Caroline Gravel / Glen Hohlmann

Social Media – Natasha Maheu

Ms. Maheu presented Statistics Canada’s user-centric social media strategy, which combines data insights with trending topics to tailor content for specific audience demographics. She also outlined the Social Media team’s future direction, including plans to enhance social monitoring to better understand how Canadians are engaging with Statistics Canada and using its data.

Statistics Canada Website – Caroline Gravel

Ms. Gravel presented the Statistics Canada website and its guiding principles, emphasizing its role as the Agency’s flagship platform for communication and service delivery. She noted the website is essential to fulfilling the Agency’s mandate and that a user-centered approach is key to building public trust. She also outlined upcoming visual enhancements and improvements to the search functionality, aimed at ensuring greater information accessibility and comparability across federal departments.

Future of Data Dissemination – Glen Hohlmann

Mr. Hohlmann delivered a presentation on data dissemination at Statistics Canada, offering insights relevant to CSAC. He shared analytics on website traffic, user preferences between tables and data products, and the most frequently accessed sections of the site. He also highlighted the evolving landscape of public data use, contrasting patterns from the 20th and 21st centuries. A key theme was the growing role of artificial intelligence (AI) and its potential to enhance user access to information and data.

Council members discussed the topics raised and requested additional information on Statistics Canada’s use of AI to enhance communication with both the public and data ‘super users’. In response, the Chief Statistician outlined the objectives of the social media team, emphasizing its role in promoting the Agency’s products and generating public interest. He also highlighted the Agency's goal of creating a dissemination strategy that adapts to the changing AI landscape.

6. Chairperson closing remarks – Howard Ramos

Mr. Ramos provided closing remarks for the day.

Day 2: June 3, 2025, from 8:30am to 1:00pm

Attendance

CSAC Members

Dr. Howard Ramos (Chairperson), André Loranger, Catherine Beaudry, David Chaundy, Benoit Dostie, Annette Hester, Anke Kessler, Vinamra Mathur, Stephen Tapp, Rosemary Bender, Jan Kestle

Statistics Canada

Josée Begin, Geoff Bowlby, Kathleen Mitchell, Jennifer Withington, Eric Rancourt, Étienne Saint-Pierre, Holly Mullin

Day 2 Summary

1. Chairperson Opening Remarks – Howard Ramos

Mr. Ramos opened the meeting by welcoming members and Assistant Chief Statisticians (ACS) and provided an overview of the agenda for the day.

2. CSAC member exit session – Jan Kestle, Annette Hester, David Chaundy

The members held an in-camera session during which three departing members shared their reflections on the Council, identified data gaps, and shared their views on the overall functioning of the statistical system.

3. Council member discussion, and next steps.

Council members continued discussions from Day 1, considering how to incorporate key insights into the upcoming CSAC report. They also reflected on the departure of 3 members and its implications for the Council’s structure and diversity.

4. Chairperson closing remarks – Howard Ramos

Mr. Ramos thanked CSAC members, including the Chief Statistician, the Assistant Chief Statisticians and their teams, and the CSAC Secretariat for their support.